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Muhuri, Pradip (SAMHSA/CBHSQ)

2014-Nov-09 04:40 UTC

[R] Getting the most recent dates in a new column from dates in four columns using the dplyr package (mutate verb)

Hello,



The example data frame in the reproducible code below has 5 columns (1 column
for id and 4 columns for dates), and there are 7 observations.  I would like to
insert the most recent date from those 4 date columns into a new column
(oiddate) using the mutate() function in the dplyr package.   I am getting
correct results (NA in the new column) if a given row has all NA's in the
four columns.  However, the issue is that the date value inserted into the new
column (oidflag) is incorrect for 5 of the remaining 6 rows (with a non-NA value
in at least 1 of the four columns).



I would appreciate receiving your help toward resolving the issue.  Please see
the R console and the R script (reproducible example)below.



Thanks in advance.



Pradip





######  from the console ########

print (data2)

  id    mrjdate    cocdate    inhdate    haldate    oidflag

1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2011-11-04

2  2       <NA>       <NA>       <NA>       <NA>      
<NA>

3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-11-04

4  4 2007-10-10       <NA>       <NA>       <NA> 2011-11-04

5  5 2006-09-01 2005-08-10       <NA>       <NA> 2011-11-04

6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-11-04

7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04





##################  Reproducible code and data
#####################################



library(dplyr)

library(lubridate)

library(zoo)

# data object - description of the



temp <- "id  mrjdate cocdate inhdate haldate

1     2004-11-04 2008-07-18 2005-07-07 2007-11-07

2             NA         NA         NA         NA

3     2009-10-24         NA 2011-10-13         NA

4     2007-10-10         NA         NA         NA

5     2006-09-01 2005-08-10         NA         NA

6     2007-09-04 2011-10-05         NA         NA

7     2005-10-25         NA         NA 2011-11-04"



# read the data object



data1 <- read.table(textConnection(temp),

                    colClasses=c("character", "Date",
"Date", "Date", "Date"),

                    header=TRUE, as.is=TRUE

                    )

# create a new column



data2 <- mutate(data1,

                oidflag= ifelse(is.na(mrjdate) & is.na(cocdate) &
is.na(inhdate)  & is.na(haldate), NA,

                                  max(mrjdate, cocdate, inhdate,
haldate,na.rm=TRUE )

                                )

                )



# convert to date

data2$oidflag = as.Date(data2$oidflag, origin="1970-01-01")



# print records



print (data2)





Pradip K. Muhuri, PhD

SAMHSA/CBHSQ

1 Choke Cherry Road, Room 2-1071

Rockville, MD 20857

Tel: 240-276-1070

Fax: 240-276-1260





	[[alternative HTML version deleted]]

Mark Sharp

2014-Nov-09 08:00 UTC

head link

[R] Getting the most recent dates in a new column from dates in four columns using the dplyr package (mutate verb)

Pradip,

mutate() works on the entire column as a vector so that you find the maximum of
the entire data set.

I am almost certain there is some nice way to handle this, but the sapply()
function is a standard approach.

max() does not want a dataframe thus the use of unlist().

Using your definition of data1:

data3 <- data1
data3$oidflag <- as.Date(sapply(seq_along(data3$id), function(row) {
  if (all(is.na(unlist(data1[row, -1])))) {
    max_d <- NA
  } else {
    max_d <- max(unlist(data1[row, -1]), na.rm = TRUE)
  }
  max_d}),
  origin = "1970-01-01")

data3
  id    mrjdate    cocdate    inhdate    haldate    oidflag
1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2  2       <NA>       <NA>       <NA>       <NA>      
<NA>
3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-10-13
4  4 2007-10-10       <NA>       <NA>       <NA> 2007-10-10
5  5 2006-09-01 2005-08-10       <NA>       <NA> 2006-09-01
6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-10-05
7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04



R. Mark Sharp, Ph.D.
Director of Primate Records Database
Southwest National Primate Research Center
Texas Biomedical Research Institute
P.O. Box 760549
San Antonio, TX 78245-0549
Telephone: (210)258-9476
e-mail: msharp at TxBiomed.org





NOTICE:  This E-Mail (including attachments) is confidential and may be legally
privileged.  It is covered by the Electronic Communications Privacy Act, 18
U.S.C.2510-2521.  If you are not the intended recipient, you are hereby notified
that any retention, dissemination, distribution or copying of this communication
is strictly prohibited.  Please reply to the sender that you have received this
message in error, then delete it.

Daniel Nordlund

2014-Nov-09 10:32 UTC

head link

[R] Getting the most recent dates in a new column from dates in four columns using the dplyr package (mutate verb)

On 11/8/2014 8:40 PM, Muhuri, Pradip (SAMHSA/CBHSQ)
wrote:> Hello,
>
>
>
> The example data frame in the reproducible code below has 5 columns (1
column for id and 4 columns for dates), and there are 7 observations.  I would
like to insert the most recent date from those 4 date columns into a new column
(oiddate) using the mutate() function in the dplyr package.   I am getting
correct results (NA in the new column) if a given row has all NA's in the
four columns.  However, the issue is that the date value inserted into the new
column (oidflag) is incorrect for 5 of the remaining 6 rows (with a non-NA value
in at least 1 of the four columns).
>
>
>
> I would appreciate receiving your help toward resolving the issue.  Please
see the R console and the R script (reproducible example)below.
>
>
>
> Thanks in advance.
>
>
>
> Pradip
>
>
>
>
>
> ######  from the console ########
>
> print (data2)
>
>    id    mrjdate    cocdate    inhdate    haldate    oidflag
>
> 1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2011-11-04
>
> 2  2       <NA>       <NA>       <NA>       <NA>   
<NA>
>
> 3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-11-04
>
> 4  4 2007-10-10       <NA>       <NA>       <NA>
2011-11-04
>
> 5  5 2006-09-01 2005-08-10       <NA>       <NA> 2011-11-04
>
> 6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-11-04
>
> 7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04
>
>
>
>
>
> ##################  Reproducible code and data
#####################################
>
>
>
> library(dplyr)
>
> library(lubridate)
>
> library(zoo)
>
> # data object - description of the
>
>
>
> temp <- "id  mrjdate cocdate inhdate haldate
>
> 1     2004-11-04 2008-07-18 2005-07-07 2007-11-07
>
> 2             NA         NA         NA         NA
>
> 3     2009-10-24         NA 2011-10-13         NA
>
> 4     2007-10-10         NA         NA         NA
>
> 5     2006-09-01 2005-08-10         NA         NA
>
> 6     2007-09-04 2011-10-05         NA         NA
>
> 7     2005-10-25         NA         NA 2011-11-04"
>
>
>
> # read the data object
>
>
>
> data1 <- read.table(textConnection(temp),
>
>                      colClasses=c("character", "Date",
"Date", "Date", "Date"),
>
>                      header=TRUE, as.is=TRUE
>
>                      )
>
> # create a new column
>
>
>
> data2 <- mutate(data1,
>
>                  oidflag= ifelse(is.na(mrjdate) & is.na(cocdate) &
is.na(inhdate)  & is.na(haldate), NA,
>
>                                    max(mrjdate, cocdate, inhdate,
haldate,na.rm=TRUE )
>
>                                  )
>
>                  )
>
>
>
> # convert to date
>
> data2$oidflag = as.Date(data2$oidflag, origin="1970-01-01")
>
>
>
> # print records
>
>
>
> print (data2)
>
>
>
>
>
> Pradip K. Muhuri, PhD
>
> SAMHSA/CBHSQ
>
> 1 Choke Cherry Road, Room 2-1071
>
> Rockville, MD 20857
>
> Tel: 240-276-1070
>
> Fax: 240-276-1260
>
>
>
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
>
I am not familiar with the mutate() function from dplyr, but you can get 
your wanted results as follows:

data2 <- within(data1, oidflag <- apply(data1[,-1], 1, max, na.rm=TRUE))


Hope this is helpful,

Dan

Daniel Nordlund
Bothell, WA USA

Muhuri, Pradip (SAMHSA/CBHSQ)

2014-Nov-09 11:11 UTC

head link

[R] Getting the most recent dates in a new column from dates in four columns using the dplyr package (mutate verb)

Hi Mark,

Your code has also given me the results I expected.  Thank you so much for your
help.

Regards,

Pradip

Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260


-----Original Message-----
From: Mark Sharp [mailto:msharp at TxBiomed.org] 
Sent: Sunday, November 09, 2014 3:01 AM
To: Muhuri, Pradip (SAMHSA/CBHSQ)
Cc: r-help at r-project.org
Subject: Re: [R] Getting the most recent dates in a new column from dates in
four columns using the dplyr package (mutate verb)

Pradip,

mutate() works on the entire column as a vector so that you find the maximum of
the entire data set.

I am almost certain there is some nice way to handle this, but the sapply()
function is a standard approach.

max() does not want a dataframe thus the use of unlist().

Using your definition of data1:

data3 <- data1
data3$oidflag <- as.Date(sapply(seq_along(data3$id), function(row) {
  if (all(is.na(unlist(data1[row, -1])))) {
    max_d <- NA
  } else {
    max_d <- max(unlist(data1[row, -1]), na.rm = TRUE)
  }
  max_d}),
  origin = "1970-01-01")

data3
  id    mrjdate    cocdate    inhdate    haldate    oidflag
1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2  2       <NA>       <NA>       <NA>       <NA>      
<NA>
3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-10-13
4  4 2007-10-10       <NA>       <NA>       <NA> 2007-10-10
5  5 2006-09-01 2005-08-10       <NA>       <NA> 2006-09-01
6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-10-05
7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04



R. Mark Sharp, Ph.D.
Director of Primate Records Database
Southwest National Primate Research Center Texas Biomedical Research Institute
P.O. Box 760549 San Antonio, TX 78245-0549
Telephone: (210)258-9476
e-mail: msharp at TxBiomed.org





NOTICE:  This E-Mail (including attachments) is confidential and may be legally
privileged.  It is covered by the Electronic Communications Privacy Act, 18
U.S.C.2510-2521.  If you are not the intended recipient, you are hereby notified
that any retention, dissemination, distribution or copying of this communication
is strictly prohibited.  Please reply to the sender that you have received this
message in error, then delete it.

arun

2014-Nov-09 12:00 UTC

head link

[R] Getting the most recent dates in a new column from dates in four columns using the dplyr package (mutate verb)

You could try

library(dplyr)
data1 %>% 

      rowwise() %>%
       mutate(oldflag=as.Date(max(mrjdate,cocdate, inhdate, haldate,
                                       na.rm=TRUE),
origin='1970-01-01'))
Source: local data frame [7 x 6]
Groups: <by row>

id    mrjdate    cocdate    inhdate    haldate    oldflag
1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2  2       <NA>       <NA>       <NA>       <NA>      
<NA>
3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-10-13
4  4 2007-10-10       <NA>       <NA>       <NA> 2007-10-10
5  5 2006-09-01 2005-08-10       <NA>       <NA> 2006-09-01
6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-10-05
7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04

A.K.


On Saturday, November 8, 2014 11:42 PM, "Muhuri, Pradip
(SAMHSA/CBHSQ)" <Pradip.Muhuri at samhsa.hhs.gov> wrote:
Hello,



The example data frame in the reproducible code below has 5 columns (1 column
for id and 4 columns for dates), and there are 7 observations.  I would like to
insert the most recent date from those 4 date columns into a new column
(oiddate) using the mutate() function in the dplyr package.   I am getting
correct results (NA in the new column) if a given row has all NA's in the
four columns.  However, the issue is that the date value inserted into the new
column (oidflag) is incorrect for 5 of the remaining 6 rows (with a non-NA value
in at least 1 of the four columns).



I would appreciate receiving your help toward resolving the issue.  Please see
the R console and the R script (reproducible example)below.



Thanks in advance.



Pradip





######  from the console ########

print (data2)

  id    mrjdate    cocdate    inhdate    haldate    oidflag

1  1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2011-11-04

2  2       <NA>       <NA>       <NA>       <NA>      
<NA>

3  3 2009-10-24       <NA> 2011-10-13       <NA> 2011-11-04

4  4 2007-10-10       <NA>       <NA>       <NA> 2011-11-04

5  5 2006-09-01 2005-08-10       <NA>       <NA> 2011-11-04

6  6 2007-09-04 2011-10-05       <NA>       <NA> 2011-11-04

7  7 2005-10-25       <NA>       <NA> 2011-11-04 2011-11-04





##################  Reproducible code and data
#####################################



library(dplyr)

library(lubridate)

library(zoo)

# data object - description of the



temp <- "id  mrjdate cocdate inhdate haldate

1     2004-11-04 2008-07-18 2005-07-07 2007-11-07

2             NA         NA         NA         NA

3     2009-10-24         NA 2011-10-13         NA

4     2007-10-10         NA         NA         NA

5     2006-09-01 2005-08-10         NA         NA

6     2007-09-04 2011-10-05         NA         NA

7     2005-10-25         NA         NA 2011-11-04"



# read the data object



data1 <- read.table(textConnection(temp),

                    colClasses=c("character", "Date",
"Date", "Date", "Date"),

                    header=TRUE, as.is=TRUE

                    )

# create a new column



data2 <- mutate(data1,

                oidflag= ifelse(is.na(mrjdate) & is.na(cocdate) &
is.na(inhdate)  & is.na(haldate), NA,

                                  max(mrjdate, cocdate, inhdate,
haldate,na.rm=TRUE )

                                )

                )



# convert to date

data2$oidflag = as.Date(data2$oidflag, origin="1970-01-01")



# print records



print (data2)





Pradip K. Muhuri, PhD

SAMHSA/CBHSQ

1 Choke Cherry Road, Room 2-1071

Rockville, MD 20857

Tel: 240-276-1070

Fax: 240-276-1260





    [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list
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.

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