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Kevin Wamae

2018-Feb-21 20:33 UTC

[R] alternative for multiple if_else statements

Hi, I am having trouble trying to figure out why if_else is behaving the way it
is, it may be my code or the way the data is structured.

Below is a snapshot of a database am working on and it represents a longitudinal
survey of study participants in a trial with weekly follow up.

The variable "survey_start" represents the start of the study-defined
one year follow up (which we called "survey_year").

I am trying to populate all subsequent entries for each participant, per survey
year, with the entry "survey" followed by an underscore and the
respective year, eg. survey_2014.

There are missing entries such as the participant represented here, wasn't
available at the start of the 2015 survey. Also, some participants don?t have
complete one-year follow ups but I still need to include them.

I have written two codes, first one fails while the second works, the only
difference being I have reversed the order in which the entries are populated in
the second code (from 2007-2016 to 2016-2007) and removed the if_else statement
for 2015. Also noticed, that for the second code, which spans the years
2007-2016 (less 2015), if a participants entries start from 2010-2016, the code
fails.

Kindly assist in figuring this out...or better yet, an alternative.

    trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1"), studyno = c("child_1",
"child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1"), date = structure(c(16078, 16085,
16092,
16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
-125L), .Names = c("study", "studyno", "date",
"year", "month",
"survey_start"))


code 1 fails:

trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno)
%>%
mutate(survey_year = if_else(date >= date[survey_start == "Y" &
year == 2007 & study == "site_1"][1] & date < date[month ==
5 & year == 2008 & study == "site_1"][1],
"survey_2007",
                     if_else(date >= date[survey_start == "Y" &
year == 2008 & study == "site_1"][1] & date < date[month ==
4 & year == 2009 & study == "site_1"][1],
"survey_2008",
                     if_else(date >= date[survey_start == "Y" &
year == 2009 & study == "site_1"][1] & date < date[month ==
5 & year == 2010 & study == "site_1"][1],
"survey_2009",
                     if_else(date >= date[survey_start == "Y" &
year == 2010 & study == "site_1"][1] & date < date[month ==
5 & year == 2011 & study == "site_1"][1],
"survey_2010",
                     if_else(date >= date[survey_start == "Y" &
year == 2011 & study == "site_1"][1] & date < date[month ==
4 & year == 2012 & study == "site_1"][1],
"survey_2011",
                     if_else(date >= date[survey_start == "Y" &
year == 2012 & study == "site_1"][1] & date < date[month ==
4 & year == 2013 & study == "site_1"][1],
"survey_2012",
                     if_else(date >= date[survey_start == "Y" &
year == 2013 & study == "site_1"][1] & date < date[month ==
4 & year == 2014 & study == "site_1"][1],
"survey_2013",
                     if_else(date >= date[survey_start == "Y" &
year == 2014 & study == "site_1"][1] & date < date[month ==
4 & year == 2015 & study == "site_1"][1],
"survey_2014",
                     if_else(date >= date[survey_start == "Y" &
year == 2015 & study == "site_1"][1] & date < date[month ==
3 & year == 2016 & study == "site_1"][1],
"survey_2015",
                     if_else(date >= date[survey_start == "Y" &
year == 2016 & study == "site_1"][1],
"survey_2016","")))))))))))

code 2 works:

    trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
  mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year == 2016 & study == "site_1"][1]                        
, "survey_2016",
                           if_else(date >= date[survey_start == "Y"
& year == 2014 & study == "site_1"][1] & date <
date[month == 4 & year == 2015 & study == "site_1"][1],
"survey_2014",
                           if_else(date >= date[survey_start == "Y"
& year == 2013 & study == "site_1"][1] & date <
date[month == 4 & year == 2014 & study == "site_1"][1],
"survey_2013",
                           if_else(date >= date[survey_start == "Y"
& year == 2012 & study == "site_1"][1] & date <
date[month == 4 & year == 2013 & study == "site_1"][1],
"survey_2012",
                           if_else(date >= date[survey_start == "Y"
& year == 2011 & study == "site_1"][1] & date <
date[month == 4 & year == 2012 & study == "site_1"][1],
"survey_2011",
                           if_else(date >= date[survey_start == "Y"
& year == 2010 & study == "site_1"][1] & date <
date[month == 5 & year == 2011 & study == "site_1"][1],
"survey_2010",
                           if_else(date >= date[survey_start == "Y"
& year == 2009 & study == "site_1"][1] & date <
date[month == 5 & year == 2010 & study == "site_1"][1],
"survey_2009",
                           if_else(date >= date[survey_start == "Y"
& year == 2008 & study == "site_1"][1] & date <
date[month == 4 & year == 2009 & study == "site_1"][1],
"survey_2008",
                           if_else(date >= date[survey_start == "Y"
& year == 2007 & study == "site_1"][1] & date <
date[month == 5 & year == 2008 & study == "site_1"][1],
"survey_2007",""))))))))))

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	[[alternative HTML version deleted]]

Eric Berger

2018-Feb-22 10:04 UTC

head link

[R] alternative for multiple if_else statements

Hi,
1. I think the reason that the different ordering leads to different
results is because of the following:
    date[ some condition is true ][1]
    will give you an NA if there are no rows where 'some condition
holds'.
    In the code that 'works' you don't have such a situation, but in
the
code that 'does not work' you presumably hit an NA before you get to the
result that you really want.
2. I am not a big fan of your "nested if" layout. I think you could
rewrite
it more clearly - and without nesting - with something like

     > trialData$survey_year <- rep(NA_character_, nrow(trialData))
     > trialData$survey_year[ condition for survey_2007 ] <-
"survey_2007"
     > trialData$survey_year[ condition for survey_2008 ] <-
"survey_2008"
     > etc

HTH,
Eric

On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <KWamae at
kemri-wellcome.org>
wrote:
> Hi, I am having trouble trying to figure out why if_else is behaving the
> way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the
study-defined one
> year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per
> survey year, with the entry "survey" followed by an underscore
and the
> respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here,
wasn't
> available at the start of the 2015 survey. Also, some participants don?t
> have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are
> populated in the second code (from 2007-2016 to 2016-2007) and removed the
> if_else statement for 2015. Also noticed, that for the second code, which
> spans the years 2007-2016 (less 2015), if a participants entries start from
> 2010-2016, the code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1",
"site_1", "site_1",
> "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1",
"child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085,
16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year =
c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
> "", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno",
"date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year => 2007 & study == "site_1"][1] & date <
date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y"
& year => 2008 & study == "site_1"][1] & date <
date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y"
& year => 2009 & study == "site_1"][1] & date <
date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y"
& year => 2010 & study == "site_1"][1] & date <
date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y"
& year => 2011 & study == "site_1"][1] & date <
date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y"
& year => 2012 & study == "site_1"][1] & date <
date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y"
& year => 2013 & study == "site_1"][1] & date <
date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y"
& year => 2014 & study == "site_1"][1] & date <
date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y"
& year => 2015 & study == "site_1"][1] & date <
date[month == 3 & year == 2016 &
> study == "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y"
& year => 2016 & study == "site_1"][1],
"survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>%
> group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year => 2016 & study == "site_1"][1]
>                , "survey_2016",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2014 & study == "site_1"][1] & date < date[month ==
4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2013 & study == "site_1"][1] & date < date[month ==
4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2012 & study == "site_1"][1] & date < date[month ==
4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2011 & study == "site_1"][1] & date < date[month ==
4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2010 & study == "site_1"][1] & date < date[month ==
5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2009 & study == "site_1"][1] & date < date[month ==
5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2008 & study == "site_1"][1] & date < date[month ==
4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2007 & study == "site_1"][1] & date < date[month ==
5 & year == 2008 &
> study == "site_1"][1],
"survey_2007",""))))))))))
>
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	[[alternative HTML version deleted]]

Eric Berger

2018-Feb-22 12:15 UTC

head link

[R] alternative for multiple if_else statements

Hi Kevin,
I ran the code on the full data set and was able to reproduce the problem
that you are facing.
My guess is that you have an error in your intuition and/or logic, and that
this relates to the use of the subscript [1].
Specifically, on the full dataset, the condition
trialData$date[trialData$survey_start == "Y" & trialData$year ==
2013 &
trialData$site == "site_1"]

yields 412 matches, of which there are 9 unique ones, specifically

April 2,3,4,5,8,10,11,16,17

In the full data set the first element that appears, i.e. subscript[1], is
"2013-04-04".

In the filtered data set the first element that appears is
"2013-04-05".

I hope that is enough information for you to make further progress from
here.

Best,
Eric



On Thu, Feb 22, 2018 at 1:28 PM, Kevin Wamae <KWamae at
kemri-wellcome.org>
wrote:
> Dear Eric, wow, this seems to do the trick. But I have encountered a
> problem.
>
>
>
> I have tested it on the larger dataset and it seems to work on a filtered
> dataset but not on the whole dataset (attached). See below script..
>
>
>
> #load packages
>
> Library(dplyr)
>
>
>
> #load data
>
> trialData <- fread("trialData.txt") %>% mutate(date >
as.Date(date,"%d/%m/%Y"))
>
>
>
> #create blank variable
>
> trialData$survey_year <- rep(NA_character_, nrow(trialData))
>
>
>
> *#attempt 1 fails: code for survey*
>
> trialData$survey_year[trialData$date >=
trialData$date[trialData$survey_start
> == "Y" & trialData$year == 2013 & trialData$site ==
"site_1"][1] &
> trialData$date < trialData$date[trialData$month == 4 &
trialData$year => 2014 & trialData$site == "site_1"][1]] <-
"survey_2013"
>
>
>
> #filter trialData
>
> trialData <- trialData %>% filter(id == "id_786/3")
>
>
>
> *#attempt 2 works: code for survey*
>
> trialData$survey_year[trialData$date >=
trialData$date[trialData$survey_start
> == "Y" & trialData$year == 2013 & trialData$site ==
"site_1"][1] &
> trialData$date < trialData$date[trialData$month == 4 &
trialData$year => 2014 & trialData$site == "site_1"][1]] <-
"survey_2013"
>
>
>
>
>
>
>
> *From: *Eric Berger <ericjberger at gmail.com>
> *Date: *Thursday, 22 February 2018 at 13:05
> *To: *Kevin Wamae <KWamae at kemri-wellcome.org>
> *Cc: *"R-help at r-project.org" <R-help at r-project.org>
> *Subject: *Re: [R] alternative for multiple if_else statements
>
>
>
> Hi,
>
> 1. I think the reason that the different ordering leads to different
> results is because of the following:
>
>     date[ some condition is true ][1]
>
>     will give you an NA if there are no rows where 'some condition
holds'.
>
>     In the code that 'works' you don't have such a situation,
but in the
> code that 'does not work' you presumably hit an NA before you get
to the
> result that you really want.
>
> 2. I am not a big fan of your "nested if" layout. I think you
could
> rewrite it more clearly - and without nesting - with something like
>
>
>
>      > trialData$survey_year <- rep(NA_character_, nrow(trialData))
>
>      > trialData$survey_year[ condition for survey_2007 ] <-
"survey_2007"
>
>      > trialData$survey_year[ condition for survey_2008 ] <-
"survey_2008"
>
>      > etc
>
>
>
> HTH,
>
> Eric
>
>
>
> On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <KWamae at
kemri-wellcome.org>
> wrote:
>
> Hi, I am having trouble trying to figure out why if_else is behaving the
> way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the
study-defined one
> year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per
> survey year, with the entry "survey" followed by an underscore
and the
> respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here,
wasn't
> available at the start of the 2015 survey. Also, some participants don?t
> have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are
> populated in the second code (from 2007-2016 to 2016-2007) and removed the
> if_else statement for 2015. Also noticed, that for the second code, which
> spans the years 2007-2016 (less 2015), if a participants entries start from
> 2010-2016, the code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1",
"site_1", "site_1",
> "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1",
"child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085,
16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year =
c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
> "", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno",
"date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year => 2007 & study == "site_1"][1] & date <
date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y"
& year => 2008 & study == "site_1"][1] & date <
date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y"
& year => 2009 & study == "site_1"][1] & date <
date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y"
& year => 2010 & study == "site_1"][1] & date <
date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y"
& year => 2011 & study == "site_1"][1] & date <
date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y"
& year => 2012 & study == "site_1"][1] & date <
date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y"
& year => 2013 & study == "site_1"][1] & date <
date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y"
& year => 2014 & study == "site_1"][1] & date <
date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y"
& year => 2015 & study == "site_1"][1] & date <
date[month == 3 & year == 2016 &
> study == "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y"
& year => 2016 & study == "site_1"][1],
"survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>%
> group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year => 2016 & study == "site_1"][1]
>                , "survey_2016",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2014 & study == "site_1"][1] & date < date[month ==
4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2013 & study == "site_1"][1] & date < date[month ==
4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2012 & study == "site_1"][1] & date < date[month ==
4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2011 & study == "site_1"][1] & date < date[month ==
4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2010 & study == "site_1"][1] & date < date[month ==
5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2009 & study == "site_1"][1] & date < date[month ==
5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2008 & study == "site_1"][1] & date < date[month ==
4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start ==
"Y" & year
> == 2007 & study == "site_1"][1] & date < date[month ==
5 & year == 2008 &
> study == "site_1"][1],
"survey_2007",""))))))))))
>
> ______________________________________________________________________
>
> This e-mail contains information which is confidential. It is intended
> only for the use of the named recipient. If you have received this e-mail
> in error, please let us know by replying to the sender, and immediately
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> transmitted over a public network. Although the Programme has taken
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>
> This e-mail contains information which is confidential. It is intended
> only for the use of the named recipient. If you have received this e-mail
> in error, please let us know by replying to the sender, and immediately
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> over a public network. Although the Programme has taken reasonable
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> responsibility for any loss or damage arising from the use of the email or
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	[[alternative HTML version deleted]]

Ista Zahn

2018-Feb-22 13:57 UTC

head link

[R] alternative for multiple if_else statements

I don't fully understand the logic you are trying to implement, but
something along the lines of

foo <- cut(trialData$date,
           breaks = as.Date(c("2007-01-01",
                              "2008-05-01",
                              "2009-04-01",
                              "2010-05-01",
                              "2011-05-01",
                              "2012-04-01",
                              "2013-04-01",
                              "2014-04-01",
                              "2015-04-01",
                              "2016-03-01",
                              "2017-01-01")))

might work.

Best,
Ista

On Wed, Feb 21, 2018 at 3:33 PM, Kevin Wamae <KWamae at
kemri-wellcome.org> wrote:> Hi, I am having trouble trying to figure out why if_else is behaving the
way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the
study-defined one year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per
survey year, with the entry "survey" followed by an underscore and the
respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here,
wasn't available at the start of the 2015 survey. Also, some participants
don?t have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
difference being I have reversed the order in which the entries are populated in
the second code (from 2007-2016 to 2016-2007) and removed the if_else statement
for 2015. Also noticed, that for the second code, which spans the years
2007-2016 (less 2015), if a participants entries start from 2010-2016, the code
fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1",
"child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085,
16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year =
c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
> "", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno",
"date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year == 2007 & study == "site_1"][1] & date <
date[month == 5 & year == 2008 & study == "site_1"][1],
"survey_2007",
>                      if_else(date >= date[survey_start == "Y"
& year == 2008 & study == "site_1"][1] & date <
date[month == 4 & year == 2009 & study == "site_1"][1],
"survey_2008",
>                      if_else(date >= date[survey_start == "Y"
& year == 2009 & study == "site_1"][1] & date <
date[month == 5 & year == 2010 & study == "site_1"][1],
"survey_2009",
>                      if_else(date >= date[survey_start == "Y"
& year == 2010 & study == "site_1"][1] & date <
date[month == 5 & year == 2011 & study == "site_1"][1],
"survey_2010",
>                      if_else(date >= date[survey_start == "Y"
& year == 2011 & study == "site_1"][1] & date <
date[month == 4 & year == 2012 & study == "site_1"][1],
"survey_2011",
>                      if_else(date >= date[survey_start == "Y"
& year == 2012 & study == "site_1"][1] & date <
date[month == 4 & year == 2013 & study == "site_1"][1],
"survey_2012",
>                      if_else(date >= date[survey_start == "Y"
& year == 2013 & study == "site_1"][1] & date <
date[month == 4 & year == 2014 & study == "site_1"][1],
"survey_2013",
>                      if_else(date >= date[survey_start == "Y"
& year == 2014 & study == "site_1"][1] & date <
date[month == 4 & year == 2015 & study == "site_1"][1],
"survey_2014",
>                      if_else(date >= date[survey_start == "Y"
& year == 2015 & study == "site_1"][1] & date <
date[month == 3 & year == 2016 & study == "site_1"][1],
"survey_2015",
>                      if_else(date >= date[survey_start == "Y"
& year == 2016 & study == "site_1"][1],
"survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2016 & study == "site_1"][1]          
, "survey_2016",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2014 & study == "site_1"][1] &
date < date[month == 4 & year == 2015 & study ==
"site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2013 & study == "site_1"][1] &
date < date[month == 4 & year == 2014 & study ==
"site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2012 & study == "site_1"][1] &
date < date[month == 4 & year == 2013 & study ==
"site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2011 & study == "site_1"][1] &
date < date[month == 4 & year == 2012 & study ==
"site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2010 & study == "site_1"][1] &
date < date[month == 5 & year == 2011 & study ==
"site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2009 & study == "site_1"][1] &
date < date[month == 5 & year == 2010 & study ==
"site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2008 & study == "site_1"][1] &
date < date[month == 4 & year == 2009 & study ==
"site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2007 & study == "site_1"][1] &
date < date[month == 5 & year == 2008 & study ==
"site_1"][1], "survey_2007",""))))))))))
>
> ______________________________________________________________________
>
> This e-mail contains information which is confidential. It is intended only
for the use of the named recipient. If you have received this e-mail in error,
please let us know by replying to the sender, and immediately delete it from
your system.  Please note, that in these circumstances, the use, disclosure,
distribution or copying of this information is strictly prohibited.
KEMRI-Wellcome Trust Programme cannot accept any responsibility for the 
accuracy or completeness of this message as it has been transmitted over a
public network. Although the Programme has taken reasonable precautions to
ensure no viruses are present in emails, it cannot accept responsibility for any
loss or damage arising from the use of the email or attachments. Any views
expressed in this message are those of the individual sender, except where the
sender specifically states them to be the views of KEMRI-Wellcome Trust
Programme.
> ______________________________________________________________________
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Kevin Wamae

2018-Feb-23 05:11 UTC

head link

[R] alternative for multiple if_else statements

Dear Ista, thank you. Let me see how best I can implement this.

Regards
------------------
Kevin Wamae

?On 22/02/2018, 16:58, "Ista Zahn" <istazahn at gmail.com>
wrote:

    I don't fully understand the logic you are trying to implement, but
    something along the lines of
    
    foo <- cut(trialData$date,
               breaks = as.Date(c("2007-01-01",
                                  "2008-05-01",
                                  "2009-04-01",
                                  "2010-05-01",
                                  "2011-05-01",
                                  "2012-04-01",
                                  "2013-04-01",
                                  "2014-04-01",
                                  "2015-04-01",
                                  "2016-03-01",
                                  "2017-01-01")))
    
    might work.
    
    Best,
    Ista
    
    On Wed, Feb 21, 2018 at 3:33 PM, Kevin Wamae <KWamae at
kemri-wellcome.org> wrote:
    > Hi, I am having trouble trying to figure out why if_else is behaving
the way it is, it may be my code or the way the data is structured.
    >
    > Below is a snapshot of a database am working on and it represents a
longitudinal survey of study participants in a trial with weekly follow up.
    >
    > The variable "survey_start" represents the start of the
study-defined one year follow up (which we called "survey_year").
    >
    > I am trying to populate all subsequent entries for each participant,
per survey year, with the entry "survey" followed by an underscore and
the respective year, eg. survey_2014.
    >
    > There are missing entries such as the participant represented here,
wasn't available at the start of the 2015 survey. Also, some participants
don?t have complete one-year follow ups but I still need to include them.
    >
    > I have written two codes, first one fails while the second works, the
only difference being I have reversed the order in which the entries are
populated in the second code (from 2007-2016 to 2016-2007) and removed the
if_else statement for 2015. Also noticed, that for the second code, which spans
the years 2007-2016 (less 2015), if a participants entries start from 2010-2016,
the code fails.
    >
    > Kindly assist in figuring this out...or better yet, an alternative.
    >
    >     trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1"), studyno =
c("child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
    > "child_1", "child_1"), date = structure(c(16078,
16085, 16092,
    > 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
    > 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
    > 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
    > 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
    > 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
    > 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
    > 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
    > 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
    > 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
    > 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
    > 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
    > 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
    > 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
    > 16953, 16960, 16966, 16973, 16980), class = "Date"), year =
c(2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
    > 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
    > 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
    > 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
    > 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
    > 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
    > 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
    > 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
    > 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
    > 6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
    > "", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
    > -125L), .Names = c("study", "studyno",
"date", "year", "month",
    > "survey_start"))
    >
    >
    > code 1 fails:
    >
    > trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
    > mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2007 & study == "site_1"][1] &
date < date[month == 5 & year == 2008 & study ==
"site_1"][1], "survey_2007",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2008 & study == "site_1"][1] &
date < date[month == 4 & year == 2009 & study ==
"site_1"][1], "survey_2008",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2009 & study == "site_1"][1] &
date < date[month == 5 & year == 2010 & study ==
"site_1"][1], "survey_2009",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2010 & study == "site_1"][1] &
date < date[month == 5 & year == 2011 & study ==
"site_1"][1], "survey_2010",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2011 & study == "site_1"][1] &
date < date[month == 4 & year == 2012 & study ==
"site_1"][1], "survey_2011",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2012 & study == "site_1"][1] &
date < date[month == 4 & year == 2013 & study ==
"site_1"][1], "survey_2012",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2013 & study == "site_1"][1] &
date < date[month == 4 & year == 2014 & study ==
"site_1"][1], "survey_2013",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2014 & study == "site_1"][1] &
date < date[month == 4 & year == 2015 & study ==
"site_1"][1], "survey_2014",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2015 & study == "site_1"][1] &
date < date[month == 3 & year == 2016 & study ==
"site_1"][1], "survey_2015",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2016 & study == "site_1"][1],
"survey_2016","")))))))))))
    >
    > code 2 works:
    >
    >     trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
    >   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2016 & study == "site_1"][1]          
, "survey_2016",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2014 & study == "site_1"][1] &
date < date[month == 4 & year == 2015 & study ==
"site_1"][1], "survey_2014",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2013 & study == "site_1"][1] &
date < date[month == 4 & year == 2014 & study ==
"site_1"][1], "survey_2013",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2012 & study == "site_1"][1] &
date < date[month == 4 & year == 2013 & study ==
"site_1"][1], "survey_2012",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2011 & study == "site_1"][1] &
date < date[month == 4 & year == 2012 & study ==
"site_1"][1], "survey_2011",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2010 & study == "site_1"][1] &
date < date[month == 5 & year == 2011 & study ==
"site_1"][1], "survey_2010",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2009 & study == "site_1"][1] &
date < date[month == 5 & year == 2010 & study ==
"site_1"][1], "survey_2009",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2008 & study == "site_1"][1] &
date < date[month == 4 & year == 2009 & study ==
"site_1"][1], "survey_2008",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2007 & study == "site_1"][1] &
date < date[month == 5 & year == 2008 & study ==
"site_1"][1], "survey_2007",""))))))))))
    >
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______________________________________________________________________

This e-mail contains information which is confidential. It is intended only for
the use of the named recipient. If you have received this e-mail in error,
please let us know by replying to the sender, and immediately delete it from
your system.  Please note, that in these circumstances, the use, disclosure,
distribution or copying of this information is strictly prohibited.
KEMRI-Wellcome Trust Programme cannot accept any responsibility for the 
accuracy or completeness of this message as it has been transmitted over a
public network. Although the Programme has taken reasonable precautions to
ensure no viruses are present in emails, it cannot accept responsibility for any
loss or damage arising from the use of the email or attachments. Any views
expressed in this message are those of the individual sender, except where the
sender specifically states them to be the views of KEMRI-Wellcome Trust
Programme.
______________________________________________________________________

Kevin Wamae

2018-Feb-23 05:13 UTC

head link

[R] alternative for multiple if_else statements

Dear Eric, thank you for that observation.

I realised that some of the participants have duplicated ?survey_start? dates
and when I corrected this, the code works.

Regards
------------------
Kevin Wamae
From: Eric Berger <ericjberger at gmail.com>
Date: Thursday, 22 February 2018 at 15:16
To: Kevin Wamae <KWamae at kemri-wellcome.org>
Cc: "R-help at r-project.org" <R-help at r-project.org>
Subject: Re: [R] alternative for multiple if_else statements

Hi Kevin,
I ran the code on the full data set and was able to reproduce the problem that
you are facing.
My guess is that you have an error in your intuition and/or logic, and that this
relates to the use of the subscript [1].
Specifically, on the full dataset, the condition
trialData$date[trialData$survey_start == "Y" & trialData$year ==
2013 & trialData$site == "site_1"]

yields 412 matches, of which there are 9 unique ones, specifically

April 2,3,4,5,8,10,11,16,17

In the full data set the first element that appears, i.e. subscript[1], is
"2013-04-04".

In the filtered data set the first element that appears is
"2013-04-05".

I hope that is enough information for you to make further progress from here.

Best,
Eric

On Thu, Feb 22, 2018 at 1:28 PM, Kevin Wamae <KWamae at
kemri-wellcome.org<mailto:KWamae at kemri-wellcome.org>> wrote:
Dear Eric, wow, this seems to do the trick. But I have encountered a problem.

I have tested it on the larger dataset and it seems to work on a filtered
dataset but not on the whole dataset (attached). See below script..

#load packages
Library(dplyr)

#load data
trialData <- fread("trialData.txt") %>% mutate(date =
as.Date(date,"%d/%m/%Y"))

#create blank variable
trialData$survey_year <- rep(NA_character_, nrow(trialData))

#attempt 1 fails: code for survey
trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start
== "Y" & trialData$year == 2013 & trialData$site ==
"site_1"][1] & trialData$date < trialData$date[trialData$month
== 4 & trialData$year == 2014 & trialData$site ==
"site_1"][1]] <- "survey_2013"

#filter trialData
trialData <- trialData %>% filter(id == "id_786/3")

#attempt 2 works: code for survey
trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start
== "Y" & trialData$year == 2013 & trialData$site ==
"site_1"][1] & trialData$date < trialData$date[trialData$month
== 4 & trialData$year == 2014 & trialData$site ==
"site_1"][1]] <- "survey_2013"

From: Eric Berger <ericjberger at gmail.com<mailto:ericjberger at
gmail.com>>
Date: Thursday, 22 February 2018 at 13:05
To: Kevin Wamae <KWamae at kemri-wellcome.org<mailto:KWamae at
kemri-wellcome.org>>
Cc: "R-help at r-project.org<mailto:R-help at r-project.org>"
<R-help at r-project.org<mailto:R-help at r-project.org>>
Subject: Re: [R] alternative for multiple if_else statements

Hi,
1. I think the reason that the different ordering leads to different results is
because of the following:
    date[ some condition is true ][1]
    will give you an NA if there are no rows where 'some condition
holds'.
    In the code that 'works' you don't have such a situation, but in
the code that 'does not work' you presumably hit an NA before you get to
the result that you really want.
2. I am not a big fan of your "nested if" layout. I think you could
rewrite it more clearly - and without nesting - with something like

     > trialData$survey_year <- rep(NA_character_, nrow(trialData))
     > trialData$survey_year[ condition for survey_2007 ] <-
"survey_2007"
     > trialData$survey_year[ condition for survey_2008 ] <-
"survey_2008"
     > etc

HTH,
Eric

On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <KWamae at
kemri-wellcome.org<mailto:KWamae at kemri-wellcome.org>> wrote:
Hi, I am having trouble trying to figure out why if_else is behaving the way it
is, it may be my code or the way the data is structured.

Below is a snapshot of a database am working on and it represents a longitudinal
survey of study participants in a trial with weekly follow up.

The variable "survey_start" represents the start of the study-defined
one year follow up (which we called "survey_year").

I am trying to populate all subsequent entries for each participant, per survey
year, with the entry "survey" followed by an underscore and the
respective year, eg. survey_2014.

There are missing entries such as the participant represented here, wasn't
available at the start of the 2015 survey. Also, some participants don?t have
complete one-year follow ups but I still need to include them.

I have written two codes, first one fails while the second works, the only
difference being I have reversed the order in which the entries are populated in
the second code (from 2007-2016 to 2016-2007) and removed the if_else statement
for 2015. Also noticed, that for the second code, which spans the years
2007-2016 (less 2015), if a participants entries start from 2010-2016, the code
fails.

Kindly assist in figuring this out...or better yet, an alternative.

    trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1",
"site_1", "site_1"), studyno = c("child_1",
"child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1", "child_1"), date = structure(c(16078, 16085,
16092,
16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 6L), survey_start = c("", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
"", "", "", "", "",
"", "Y", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"")), class = "data.frame", row.names = c(NA,
-125L), .Names = c("study", "studyno", "date",
"year", "month",
"survey_start"))

code 1 fails:

trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno)
%>%
mutate(survey_year = if_else(date >= date[survey_start == "Y" &
year == 2007 & study == "site_1"][1] & date < date[month ==
5 & year == 2008 & study == "site_1"][1],
"survey_2007",
                     if_else(date >= date[survey_start == "Y" &
year == 2008 & study == "site_1"][1] & date < date[month ==
4 & year == 2009 & study == "site_1"][1],
"survey_2008",
                     if_else(date >= date[survey_start == "Y" &
year == 2009 & study == "site_1"][1] & date < date[month ==
5 & year == 2010 & study == "site_1"][1],
"survey_2009",
                     if_else(date >= date[survey_start == "Y" &
year == 2010 & study == "site_1"][1] & date < date[month ==
5 & year == 2011 & study == "site_1"][1],
"survey_2010",
                     if_else(date >= date[survey_start == "Y" &
year == 2011 & study == "site_1"][1] & date < date[month ==
4 & year == 2012 & study == "site_1"][1],
"survey_2011",
                     if_else(date >= date[survey_start == "Y" &
year == 2012 & study == "site_1"][1] & date < date[month ==
4 & year == 2013 & study == "site_1"][1],
"survey_2012",
                     if_else(date >= date[survey_start == "Y" &
year == 2013 & study == "site_1"][1] & date < date[month ==
4 & year == 2014 & study == "site_1"][1],
"survey_2013",
                     if_else(date >= date[survey_start == "Y" &
year == 2014 & study == "site_1"][1] & date < date[month ==
4 & year == 2015 & study == "site_1"][1],
"survey_2014",
                     if_else(date >= date[survey_start == "Y" &
year == 2015 & study == "site_1"][1] & date < date[month ==
3 & year == 2016 & study == "site_1"][1],
"survey_2015",
                     if_else(date >= date[survey_start == "Y" &
year == 2016 & study == "site_1"][1],
"survey_2016","")))))))))))

code 2 works:

    trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
  mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year == 2016 & study == "site_1"][1]                        
, "survey_2016",
                           if_else(date >= date[survey_start == "Y"
& year == 2014 & study == "site_1"][1] & date <
date[month == 4 & year == 2015 & study == "site_1"][1],
"survey_2014",
                           if_else(date >= date[survey_start == "Y"
& year == 2013 & study == "site_1"][1] & date <
date[month == 4 & year == 2014 & study == "site_1"][1],
"survey_2013",
                           if_else(date >= date[survey_start == "Y"
& year == 2012 & study == "site_1"][1] & date <
date[month == 4 & year == 2013 & study == "site_1"][1],
"survey_2012",
                           if_else(date >= date[survey_start == "Y"
& year == 2011 & study == "site_1"][1] & date <
date[month == 4 & year == 2012 & study == "site_1"][1],
"survey_2011",
                           if_else(date >= date[survey_start == "Y"
& year == 2010 & study == "site_1"][1] & date <
date[month == 5 & year == 2011 & study == "site_1"][1],
"survey_2010",
                           if_else(date >= date[survey_start == "Y"
& year == 2009 & study == "site_1"][1] & date <
date[month == 5 & year == 2010 & study == "site_1"][1],
"survey_2009",
                           if_else(date >= date[survey_start == "Y"
& year == 2008 & study == "site_1"][1] & date <
date[month == 4 & year == 2009 & study == "site_1"][1],
"survey_2008",
                           if_else(date >= date[survey_start == "Y"
& year == 2007 & study == "site_1"][1] & date <
date[month == 5 & year == 2008 & study == "site_1"][1],
"survey_2007",""))))))))))

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	[[alternative HTML version deleted]]

S Ellison

2018-Feb-26 11:56 UTC

head link

[R] alternative for multiple if_else statements

That many ifelse statements is obviously rather a pain.

Would you not have got what you want with 

... paste("survey", year, sep="_") 
?

If that is not what you're looking for (eg because 'year' is the
observation year and not the study start year), perhaps something that picks the
minimum year for a subject or other relevant group might work? For example
paste("survey", ave(year, studyno, FUN=min), sep="_")


S Ellison
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Kevin
> Wamae
> Sent: 21 February 2018 20:34
> To: R-help at r-project.org
> Subject: [R] alternative for multiple if_else statements
> 
> Hi, I am having trouble trying to figure out why if_else is behaving the
way it is,
> it may be my code or the way the data is structured.
> 
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
> 
> The variable "survey_start" represents the start of the
study-defined one year
> follow up (which we called "survey_year").
> 
> I am trying to populate all subsequent entries for each participant, per
survey
> year, with the entry "survey" followed by an underscore and the
respective
> year, eg. survey_2014.
> 
> There are missing entries such as the participant represented here,
wasn't
> available at the start of the 2015 survey. Also, some participants don?t
have
> complete one-year follow ups but I still need to include them.
> 
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are
populated in
> the second code (from 2007-2016 to 2016-2007) and removed the if_else
> statement for 2015. Also noticed, that for the second code, which spans the
> years 2007-2016 (less 2015), if a participants entries start from
2010-2016, the
> code fails.
> 
> Kindly assist in figuring this out...or better yet, an alternative.
> 
>     trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
> "site_1"), studyno = c("child_1", "child_1",
"child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
> "child_1"), date = structure(c(16078, 16085, 16092, 16098, 16104,
16115,
> 16121, 16129, 16135, 16140, 16146, 16156, 16162, 16168, 16177, 16185,
> 16191, 16195, 16203, 16210, 16217, 16225, 16234, 16237, 16246, 16253,
> 16262, 16269, 16278, 16283, 16288, 16297, 16304, 16311, 16319, 16326,
> 16332, 16337, 16346, 16353, 16360, 16366, 16370, 16381, 16384, 16395,
> 16399, 16407, 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477,
> 16484, 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613, 16620,
> 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681, 16688, 16693,
> 16702, 16706, 16714, 16721, 16728, 16734, 16745, 16749, 16757, 16764,
> 16769, 16778, 16785, 16792, 16805, 16812, 16819, 16830, 16832, 16839,
> 16846, 16856, 16862, 16867, 16877, 16884, 16890, 16898, 16904, 16912,
> 16917, 16923, 16936, 16938, 16953, 16960, 16966, 16973, 16980), class >
"Date"), year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2015L,
2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
> 2015L, 2015L, 2015L, 2015L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L, 1L, 1L, 1L,
2L,
> 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 7L, 7L,
> 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L,
11L, 11L,
> 11L, 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L,
4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L,
9L, 9L, 10L,
> 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L,
2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L),
survey_start > c("", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "Y", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
> "", "", "", "", "",
"", "", "Y", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "")), class > "data.frame", row.names =
c(NA, -125L), .Names = c("study", "studyno",
"date",
> "year", "month",
> "survey_start"))
> 
> 
> code 1 fails:
> 
> trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y"
& year == 2007
> & study == "site_1"][1] & date < date[month == 5 &
year == 2008 & study => "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y"
& year == 2008 & study
> == "site_1"][1] & date < date[month == 4 & year ==
2009 & study => "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y"
& year == 2009 & study
> == "site_1"][1] & date < date[month == 5 & year ==
2010 & study => "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y"
& year == 2010 & study
> == "site_1"][1] & date < date[month == 5 & year ==
2011 & study => "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y"
& year == 2011 & study
> == "site_1"][1] & date < date[month == 4 & year ==
2012 & study => "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y"
& year == 2012 & study
> == "site_1"][1] & date < date[month == 4 & year ==
2013 & study => "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y"
& year == 2013 & study
> == "site_1"][1] & date < date[month == 4 & year ==
2014 & study => "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y"
& year == 2014 & study
> == "site_1"][1] & date < date[month == 4 & year ==
2015 & study => "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y"
& year == 2015 & study
> == "site_1"][1] & date < date[month == 3 & year ==
2016 & study => "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y"
& year == 2016 & study
> == "site_1"][1], "survey_2016","")))))))))))
> 
> code 2 works:
> 
>     trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno)
> %>%
>   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2016
> & study == "site_1"][1]                                      
, "survey_2016",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2014 &
> study == "site_1"][1] & date < date[month == 4 & year
== 2015 & study => "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2013 &
> study == "site_1"][1] & date < date[month == 4 & year
== 2014 & study => "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2012 &
> study == "site_1"][1] & date < date[month == 4 & year
== 2013 & study => "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2011 &
> study == "site_1"][1] & date < date[month == 4 & year
== 2012 & study => "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2010 &
> study == "site_1"][1] & date < date[month == 5 & year
== 2011 & study => "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2009 &
> study == "site_1"][1] & date < date[month == 5 & year
== 2010 & study => "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2008 &
> study == "site_1"][1] & date < date[month == 4 & year
== 2009 & study => "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start ==
"Y" & year == 2007 &
> study == "site_1"][1] & date < date[month == 5 & year
== 2008 & study => "site_1"][1],
"survey_2007",""))))))))))
> 
> ________________________________________________________________
> ______
> 
> This e-mail contains information which is confidential. It is intended only
for the
> use of the named recipient. If you have received this e-mail in error,
please let
> us know by replying to the sender, and immediately delete it from your
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> Please note, that in these circumstances, the use, disclosure, distribution
or
> copying of this information is strictly prohibited. KEMRI-Wellcome Trust
> Programme cannot accept any responsibility for the  accuracy or
completeness
> of this message as it has been transmitted over a public network. Although
the
> Programme has taken reasonable precautions to ensure no viruses are present
> in emails, it cannot accept responsibility for any loss or damage arising
from
> the use of the email or attachments. Any views expressed in this message
are
> those of the individual sender, except where the sender specifically states
them
> to be the views of KEMRI-Wellcome Trust Programme.
> ________________________________________________________________
> ______
> 
> 	[[alternative HTML version deleted]]
> 
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Kevin Wamae

2018-Feb-26 13:12 UTC

head link

[R] alternative for multiple if_else statements

Dear Ellison, thank you for the feedback, we replaced dplyr::if_else with
dplyr::case_when and it seems to do the trick.

Still, we have to write several statements to match all the respective years but
it's working.

Let me see how we can implement your suggestion.

Regards
------------------
Kevin Wamae
?On 26/02/2018, 14:57, "S Ellison" <S.Ellison at LGCGroup.com>
wrote:

    That many ifelse statements is obviously rather a pain.
    
    Would you not have got what you want with 
    
    ... paste("survey", year, sep="_") 
    ?
    
    If that is not what you're looking for (eg because 'year' is the
observation year and not the study start year), perhaps something that picks the
minimum year for a subject or other relevant group might work? For example
    paste("survey", ave(year, studyno, FUN=min), sep="_")
    
    
    S Ellison
    
    > -----Original Message-----
    > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
Kevin
    > Wamae
    > Sent: 21 February 2018 20:34
    > To: R-help at r-project.org
    > Subject: [R] alternative for multiple if_else statements
    > 
    > Hi, I am having trouble trying to figure out why if_else is behaving
the way it is,
    > it may be my code or the way the data is structured.
    > 
    > Below is a snapshot of a database am working on and it represents a
    > longitudinal survey of study participants in a trial with weekly follow
up.
    > 
    > The variable "survey_start" represents the start of the
study-defined one year
    > follow up (which we called "survey_year").
    > 
    > I am trying to populate all subsequent entries for each participant,
per survey
    > year, with the entry "survey" followed by an underscore and
the respective
    > year, eg. survey_2014.
    > 
    > There are missing entries such as the participant represented here,
wasn't
    > available at the start of the 2015 survey. Also, some participants
don?t have
    > complete one-year follow ups but I still need to include them.
    > 
    > I have written two codes, first one fails while the second works, the
only
    > difference being I have reversed the order in which the entries are
populated in
    > the second code (from 2007-2016 to 2016-2007) and removed the if_else
    > statement for 2015. Also noticed, that for the second code, which spans
the
    > years 2007-2016 (less 2015), if a participants entries start from
2010-2016, the
    > code fails.
    > 
    > Kindly assist in figuring this out...or better yet, an alternative.
    > 
    >     trialData <- structure(list(study = c("site_1",
"site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1",
"site_1",
    > "site_1"), studyno = c("child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1",
"child_1",
    > "child_1"), date = structure(c(16078, 16085, 16092, 16098,
16104, 16115,
    > 16121, 16129, 16135, 16140, 16146, 16156, 16162, 16168, 16177, 16185,
    > 16191, 16195, 16203, 16210, 16217, 16225, 16234, 16237, 16246, 16253,
    > 16262, 16269, 16278, 16283, 16288, 16297, 16304, 16311, 16319, 16326,
    > 16332, 16337, 16346, 16353, 16360, 16366, 16370, 16381, 16384, 16395,
    > 16399, 16407, 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477,
    > 16484, 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
    > 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613, 16620,
    > 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681, 16688, 16693,
    > 16702, 16706, 16714, 16721, 16728, 16734, 16745, 16749, 16757, 16764,
    > 16769, 16778, 16785, 16792, 16805, 16812, 16819, 16830, 16832, 16839,
    > 16846, 16856, 16862, 16867, 16877, 16884, 16890, 16898, 16904, 16912,
    > 16917, 16923, 16936, 16938, 16953, 16960, 16966, 16973, 16980), class  
> "Date"), year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2015L,
2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L,
    > 2015L, 2015L, 2015L, 2015L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L, 1L, 1L,
1L, 2L,
    > 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L,
6L, 6L, 7L, 7L,
    > 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L,
11L, 11L, 11L,
    > 11L, 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L,
4L, 4L, 4L, 5L,
    > 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L,
9L, 9L, 9L, 10L,
    > 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L,
2L, 2L, 2L,
    > 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L,
6L), survey_start     > c("", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "Y",
"", "", "", "", "",
"", "",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "", "", "", "",
"",
    > "", "", "", "", "",
"", "", "Y", "", "",
"", "", "", "", "",
"", "", "", "", "",
"", "")), class     > "data.frame", row.names =
c(NA, -125L), .Names = c("study", "studyno",
"date",
    > "year", "month",
    > "survey_start"))
    > 
    > 
    > code 1 fails:
    > 
    > trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno) %>%
    > mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2007
    > & study == "site_1"][1] & date < date[month == 5
& year == 2008 & study =    > "site_1"][1],
"survey_2007",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2008 & study
    > == "site_1"][1] & date < date[month == 4 & year ==
2009 & study =    > "site_1"][1], "survey_2008",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2009 & study
    > == "site_1"][1] & date < date[month == 5 & year ==
2010 & study =    > "site_1"][1], "survey_2009",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2010 & study
    > == "site_1"][1] & date < date[month == 5 & year ==
2011 & study =    > "site_1"][1], "survey_2010",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2011 & study
    > == "site_1"][1] & date < date[month == 4 & year ==
2012 & study =    > "site_1"][1], "survey_2011",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2012 & study
    > == "site_1"][1] & date < date[month == 4 & year ==
2013 & study =    > "site_1"][1], "survey_2012",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2013 & study
    > == "site_1"][1] & date < date[month == 4 & year ==
2014 & study =    > "site_1"][1], "survey_2013",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2014 & study
    > == "site_1"][1] & date < date[month == 4 & year ==
2015 & study =    > "site_1"][1], "survey_2014",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2015 & study
    > == "site_1"][1] & date < date[month == 3 & year ==
2016 & study =    > "site_1"][1], "survey_2015",
    >                      if_else(date >= date[survey_start ==
"Y" & year == 2016 & study
    > == "site_1"][1],
"survey_2016","")))))))))))
    > 
    > code 2 works:
    > 
    >     trialData <- trialData %>% arrange(studyno, date) %>%
group_by(studyno)
    > %>%
    >   mutate(survey_year = if_else(date >= date[survey_start ==
"Y" & year == 2016
    > & study == "site_1"][1]                                  
, "survey_2016",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2014 &
    > study == "site_1"][1] & date < date[month == 4 &
year == 2015 & study =    > "site_1"][1],
"survey_2014",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2013 &
    > study == "site_1"][1] & date < date[month == 4 &
year == 2014 & study =    > "site_1"][1],
"survey_2013",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2012 &
    > study == "site_1"][1] & date < date[month == 4 &
year == 2013 & study =    > "site_1"][1],
"survey_2012",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2011 &
    > study == "site_1"][1] & date < date[month == 4 &
year == 2012 & study =    > "site_1"][1],
"survey_2011",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2010 &
    > study == "site_1"][1] & date < date[month == 5 &
year == 2011 & study =    > "site_1"][1],
"survey_2010",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2009 &
    > study == "site_1"][1] & date < date[month == 5 &
year == 2010 & study =    > "site_1"][1],
"survey_2009",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2008 &
    > study == "site_1"][1] & date < date[month == 4 &
year == 2009 & study =    > "site_1"][1],
"survey_2008",
    >                            if_else(date >= date[survey_start ==
"Y" & year == 2007 &
    > study == "site_1"][1] & date < date[month == 5 &
year == 2008 & study =    > "site_1"][1],
"survey_2007",""))))))))))
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