The answer to your question is yes. You can convert a column of values to Date 
using the as.Date function with the appropriate format, and then test if any 
values are NA using the is.na function, and find them with the which function.

If you want something less vague then you should read the Posting Guide 
mentioned at the bottom of this message and follow the advice about using plain 
text and providing a sample of data that exhibits the issue and your attempts 
to solve the problem (code). Sample data is almost always needed... if you 
don't make it, then we have do so in order to illustrate the solution, but we 
would be guessing and that is just a waste of time. You may find the following 
link helpful also: 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
---------------------------------------------------------------------------
Jeff Newmiller                        The     .....       .....  Go Live...
DCN:<jdnew...@dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live Go...
                                      Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
/Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
--------------------------------------------------------------------------- 
Sent from my phone. Please excuse my brevity.

jeffj...@worldvision.org wrote:
>
>
>I'm very new to R. I have a data file that I have read in via read.csv.
>I
>expect one of the "columns" to be of type date for example. However at
>least one value in that column is not of date type. I know this because
>another program I am trying to process the file with is erroring, yet
>it
>doesn't tell me what row/value is erroring. Does R have a way to: treat
>column x as date type, and print out all values/row numbers do not
>conform
>to that type for that specified column?
>
>Many thanks!
>Jeff
>       [[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list
>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@r-project.org mailing list
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.

Reply via email to