Muhuri, Pradip (SAMHSA/CBHSQ)
2015-May-02 04:13 UTC
[R] R Error: wrong result size (...), expected ... or 1 (minimal example provided)
Hello,
I am reposting my question with a reproducible example/minimal dataset (6 rows)
this time.
I have written a user-defined function (myFunc below) with ten arguments. When
calling the function, I get the following message: ?Error: wrong result size
(0), expected 2 or 1?.
I am not getting the desired output dataset that will have 2 rows. How would I
resolve the issue? Any hints would be appreciated.
These results are from the following code chunk outside myFunc:
addmargins(table(xanloid_set$cohort_type))
NMPR_Cohort OID_Cohort Other Sum
2 1 3 6
.
Thanks,
Pradip Muhuri
# myFunc_rev.R
setwd ("H:/R/cis_data")
library(dplyr)
rm(list = ls())
# data object - description
temp <- "id intdate anldate oiddate herdate cohort_type
1 2004-11-04 2002-07-18 2001-07-07 2003-11-03 NMPR_Cohort
2 2004-10-24 NA 2002-10-13 NA OID_Cohort
3 2004-10-10 NA NA NA Other
4 2004-09-01 1999-08-10 NA 2002-11-04 NMPR_Cohort
5 2004-09-04 1997-10-05 NA NA Other
6 2004-10-25 NA NA 2011-11-04 Other"
# read the data object
xanloid_set <- read.table(textConnection(temp),
colClasses=c("character", "Date",
"Date", "Date", "Date", "character"),
header=TRUE, as.is=TRUE
)
# print the data object
xanloid_set
# Define user-defined function
myFunc <- function (newdata,
oridata,
cohort,
value,
xdate_to_int_time,
xflag,
idate,
xdate,
xdate_to_int_time_cat,
year) {
newdata <- filter (oridata, cohort== value ) %>%
mutate(xdate_to_int_time = ifelse(xflag==1,
(idate-xdate)/365.25, NA),
xdate_to_int_time_cat =
cut(xdate_to_int_time, breaks=c(0,1,2,3,4,5,6,7),
include.lowest=TRUE, stringsAsFactors = FALSE) )
addmargins(with(newdata, table(year, xdate_to_int_time_cat,
na.rm=TRUE)))
}
# invoke user defined function
myFunc ( newdata=nmpr_nmproid,
oridata=xanloid_set,
cohort=xanloid_set$cohort_type,
value= "NMPR_Cohort",
xdate_to_int_time=anl_to_int_time,
xflag=xanloid_set$anlflag,
idate=xanloid_set$intdate,
xdate=xanloid_set$anldate,
xdate_to_int_time_cat=xanloid_set$anl_to_int_time_cat,
year=xanloid_set$xyear
)
# tabulate cohort_type
addmargins(table(xanloid_set$cohort_type))
[[alternative HTML version deleted]]
William Dunlap
2015-May-02 16:41 UTC
[R] R Error: wrong result size (...), expected ... or 1 (minimal example provided)
# invoke user defined function
myFunc ( newdata=nmpr_nmproid,
oridata=xanloid_set,
cohort=xanloid_set$cohort_type,
value= "NMPR_Cohort",
xdate_to_int_time=anl_to_int_time,
xflag=xanloid_set$anlflag,
idate=xanloid_set$intdate,
xdate=xanloid_set$anldate,
xdate_to_int_time_cat=xanloid_set$anl_to_int_time_cat,
year=xanloid_set$xyear
)
Note that some of your arguments are NULL because xanloid_set
does not contain components by the given name. E.g., xanloid_set$anlflag
is NULL because there is no column called 'anlflag' in xanloid_set.
The NULL's will cause various problems downstream.
You can avoid this problem by using the syntax
xanloid_set[ , "anlflag"]
which will give an error if the requested column does not exist.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, May 1, 2015 at 9:13 PM, Muhuri, Pradip (SAMHSA/CBHSQ) <
Pradip.Muhuri at samhsa.hhs.gov> wrote:
> Hello,
>
> I am reposting my question with a reproducible example/minimal dataset (6
> rows) this time.
>
> I have written a user-defined function (myFunc below) with ten arguments.
> When calling the function, I get the following message: ?Error: wrong
> result size (0), expected 2 or 1?.
> I am not getting the desired output dataset that will have 2 rows. How
> would I resolve the issue? Any hints would be appreciated.
>
>
> These results are from the following code chunk outside myFunc:
>
> addmargins(table(xanloid_set$cohort_type))
>
>
>
> NMPR_Cohort OID_Cohort Other Sum
> 2 1 3 6
>
> .
>
> Thanks,
>
> Pradip Muhuri
>
>
>
>
>
> # myFunc_rev.R
> setwd ("H:/R/cis_data")
> library(dplyr)
> rm(list = ls())
> # data object - description
> temp <- "id intdate anldate oiddate herdate cohort_type
> 1 2004-11-04 2002-07-18 2001-07-07 2003-11-03 NMPR_Cohort
> 2 2004-10-24 NA 2002-10-13 NA OID_Cohort
> 3 2004-10-10 NA NA NA Other
> 4 2004-09-01 1999-08-10 NA 2002-11-04 NMPR_Cohort
> 5 2004-09-04 1997-10-05 NA NA Other
> 6 2004-10-25 NA NA 2011-11-04 Other"
> # read the data object
> xanloid_set <- read.table(textConnection(temp),
> colClasses=c("character",
"Date", "Date",
> "Date", "Date", "character"),
> header=TRUE, as.is=TRUE
> )
> # print the data object
> xanloid_set
> # Define user-defined function
> myFunc <- function (newdata,
> oridata,
> cohort,
> value,
> xdate_to_int_time,
> xflag,
> idate,
> xdate,
> xdate_to_int_time_cat,
> year) {
>
> newdata <- filter (oridata, cohort== value )
%>%
> mutate(xdate_to_int_time >
ifelse(xflag==1, (idate-xdate)/365.25, NA),
> xdate_to_int_time_cat >
cut(xdate_to_int_time, breaks=c(0,1,2,3,4,5,6,7),
>
> include.lowest=TRUE, stringsAsFactors = FALSE) )
> addmargins(with(newdata, table(year,
> xdate_to_int_time_cat, na.rm=TRUE)))
> }
> # invoke user defined function
> myFunc ( newdata=nmpr_nmproid,
> oridata=xanloid_set,
> cohort=xanloid_set$cohort_type,
> value= "NMPR_Cohort",
> xdate_to_int_time=anl_to_int_time,
> xflag=xanloid_set$anlflag,
> idate=xanloid_set$intdate,
> xdate=xanloid_set$anldate,
> xdate_to_int_time_cat=xanloid_set$anl_to_int_time_cat,
> year=xanloid_set$xyear
> )
> # tabulate cohort_type
> addmargins(table(xanloid_set$cohort_type))
>
>
>
> [[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.
>
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