Hello, This is my first time posting to the R-help list and I apologize for the apparent triviality of my query. I am creating an R script to create Univariate Exploratory Analysis of a input dataset (No meta-data to provide extra information about each column) . Providing summary statistics is possible in case of numeric data and using all.is.numeric() from the Hmisc package allows me to filter out those columns with alpha-numeric content. I have tried to check if a column is a date field or not, but have not been able to do so. Are Regular Expressions the only answer? I've also looked for CRAN packages but haven't found any. Bering a newbie user of R, I do not possess the requisite knowledge to write my own function for the above objective. Thank you for your time Harsh Decisions Systems Group Mu Sigma Inc. Chicago, IL
Gabor Grothendieck
2008-Nov-24 13:36 UTC
[R] Check for date variable in a arbitrary dataset
The classes of the columns are: sapply(DF, class) On Mon, Nov 24, 2008 at 3:39 AM, Harsh <singhalblr at gmail.com> wrote:> Hello, > This is my first time posting to the R-help list and I apologize for > the apparent triviality of my query. > I am creating an R script to create Univariate Exploratory Analysis of > a input dataset (No meta-data to provide extra information about each > column) > . > Providing summary statistics is possible in case of numeric data and > using all.is.numeric() from the Hmisc package allows me to filter out > those columns with alpha-numeric content. > > I have tried to check if a column is a date field or not, but have not > been able to do so. Are Regular Expressions the only answer? I've also > looked for CRAN packages but haven't found any. > Bering a newbie user of R, I do not possess the requisite knowledge to > write my own function for the above objective. > > Thank you for your time > Harsh > Decisions Systems Group > Mu Sigma Inc. > Chicago, IL > > ______________________________________________ > R-help at 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. >