Since this is a contributed package, you should be contacting the
maintainer (as mentioned in the posting guide).
Anyway, the problem occurs because in the second case you have a factor
in the first column and numeric in the second. This part of the code
will illustrate what I mean:
for (i in 1:nfreq) {
if (display.na)
nna <- sum(is.na(x[[i]]))
else nna <- 0
xt <- na.omit(x[[i]])
if (is.null(levels))
levels <- unique(xt)
if (is.numeric(x[[i]]))
xt <- factor(xt, levels = levels)
So the first time through this loop the levels variable is set to
c("m","f"). On the second time levels is no longer NULL, so when the xt
variable is created it is essentially this:
xt <- factor(xt, levels = c("m","f"))
and since xt contains only numbers you get
[1] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
Levels: m f
Best,
Jim
[EMAIL PROTECTED] wrote:
Does someone have an idea?
Thanks a lot!
Udo
Quoting Udo <[EMAIL PROTECTED]>:
Dear list,
I have a problem with freq from prettyR.
Please have a look at my syntax with a litte example:
library(prettyR)
#Version 1
test.df<-data.frame(q1=sample(1:4,8,TRUE), gender=sample(c("f","m"),8,TRUE))
test.df
freq(test.df) #No error message
#Version 2
test.df<-data.frame(gender=sample(c("f","m"),8,TRUE), q1=sample(1:4,8,TRUE))
test.df
freq(test.df)
Error message: "Error in vector("integer", length) : Vector size can´t be NA"
Can someone tell me, why an error message occurs in version two? I am
helpless...
Thanks in advance!
Udo K ö n i g
--------------------------------------------
Clinic for Child an Adolescent Psychiatry
Philipps University of Marburg / Germany
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Biostatistician
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