remove
Also ?ifelse rather than if() I think. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Jun 10, 2017 at 10:17 PM, Jeff Newmiller
<jdnewmil at dcn.davis.ca.us> wrote:
You are using a slash in your format string to separate sub-fields but your data uses a dash. -- Sent from my phone. Please excuse my brevity. On June 10, 2017 8:18:37 PM PDT, Val <valkremk at gmail.com> wrote:
Hi all,
I have a date issue and would appreciate any help.
I am reading a field data and n one of the columns I am expecting a
date but has non date values such as character and empty. space.
Here is a sample of my data.
KL <- read.table(header=TRUE, text='ID date
711 Dead
712 Uknown
713 20-11-08
714 11-28-07
301
302 09-02-02
303 09-21-02',stringsAsFactors = FALSE, fill =T)
str(KL)
data.frame': 7 obs. of 2 variables:
$ ID : int 711 712 713 714 301 302 303
$ date: chr "Dead" "Uknown" "20-11-08" "11-28-07" .
I wanted to convert the date column as follows.
if (max(unique(nchar(as.character(KL$date))))==10) {
KL$date <- as.Date(KL$date,"%m/%d/%Y")
}
but not working.
How could I to remove the corresponding entire row. that do not have
a date format and do the operation?
thank you in advance
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______________________________________________ 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.