Hello ! I am attempting to switch from being a long time SAS user to R, and would really appreciate a bit of help ! The first thing I do in getting a large dataset (thousands of obervations and hundreds of variables) is to run a SAS command PROC CONTENTS VARNUM command - this provides me a table with the name of each variable, its type and length; then I run a PROC MEANS - for numerical variables it gives me a table with the number of non-missing values, min, max, mean and std. dev. My data usually has errors and this first step helps me to spot the errors and 'clean' the dataset.
The 'summary' function in R and other function as part of Hmisc or Psych package do not work for me. How can I get a table from an R data.frame that has the following structure (header row and example). Rowname Character/Integer Length Non-Missing Minimum Maximum Mean SD HHID Integer 12 32,344 114455007701 514756007812 2.345 x 10^10 1.456 x 10^10 Head Character 38 24,566 - - - - Thank you very much. -- View this message in context: http://r.789695.n4.nabble.com/Summary-tables-of-large-datasets-including-character-and-numerical-variables-tp4234296p4234296.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.