Dear R experts, I have a large database made up of mixed data types (numeric, character, factor, ordinal factor) with missing values, and I am looking for a package that would help me impute the missing values using either the mean if numerical or the mode if character/factor.
I maybe could use replace like this: df$var[is.na(df$var)] <- mean(df$var, na.rm = TRUE) And go through all the many different variables of the datasets using mean or mode for each, but I was wondering if there was a faster way, or if a package existed to automate this (by doing 'mode' if it is a factor or character or 'mean' if it is numeric)? I have tried the package "dprep" because I wanted to use the function "ce.mimp", btu unfortunately it is not available anymore. Thank you for your help, -francy ______________________________________________ [email protected] 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.
