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
remove
4 messages · Val, Jeff Newmiller, Bert Gunter
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
>
>______________________________________________
>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.
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$date,"%m/%d/%Y")
}
but not working.
How could I to remove the corresponding entire row. that do not have
a date format and do the operation?
thank you in advance
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
The usual way I filter is: KL$Dt <- as.Date( KL$date, format='%d-%m-%y' ) KL2 <- KL[ !is.na( KL$Dt ), ]
Sent from my phone. Please excuse my brevity. On June 10, 2017 10:17:52 PM PDT, 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.