is there a way to identify the *numeric* data elements (columns) in a data.frame that contains both numeric and character data elements? thanks in advance, ted. ---------------------------------------- Ted Blew Educational Testing Service MS 22T Princeton NJ 08541 tblew at ets.org 609.734.5976 (office) ************************************************************************** This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
numerics only
3 messages · Blew, Ted, Tony Plate, Thomas Lumley
Try:
> x <-
data.frame(a=factor(letters[1:3]),b=I(LETTERS[1:3]),c=as.integer(1:3),d=(1:3)/10)
> sapply(x, is.numeric)
a b c d
FALSE FALSE TRUE TRUE
> sapply(x, mode)
a b c d
"numeric" "character" "numeric" "numeric"
> sapply(x, storage.mode)
a b c d
"integer" "character" "integer" "double"
> sapply(x, class)
$a
[1] "factor"
$b
[1] "AsIs"
$c
NULL
$d
NULL
> sapply(x, data.class)
a b c d
"factor" "AsIs" "numeric" "numeric"
>
At 03:27 PM 11/11/2002 -0500, Blew, Ted wrote:
is there a way to identify the *numeric* data elements (columns) in a data.frame that contains both numeric and character data elements? thanks in advance, ted. ---------------------------------------- Ted Blew Educational Testing Service MS 22T Princeton NJ 08541 tblew at ets.org 609.734.5976 (office) ************************************************************************** This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
On Mon, 11 Nov 2002, Blew, Ted wrote:
is there a way to identify the *numeric* data elements (columns) in a data.frame that contains both numeric and character data elements? thanks in advance, ted.
sapply(dataframe, is.numeric) or which(sapply(data.frame, is.numeric)) -thomas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._