I am new to R, but have been using SAS for years. In this transition period, I am finding myself pulling my hair out to do some of the simplest things. An example of this is that I need to generate a new variable based on the outcome of several existing variables in a data row. In other words, if the variable in all three existing columns are "Yes", then then the new variable should also be "Yes", however if any one of the three existing variables is a "No", then then new variable should be a "No". I would then use that new variable as an exclusion for data in a new or existing dataset (i.e., if NewVariable = "No" then delete):
Take this: Column1, Column2, Column3 Yes, Yes, Yes Yes, No, Yes No, No, No No, Yes, No Yes, Yes, No Generate this: Column1, Column2, Column3, NewVariable1 Yes, Yes, Yes, Yes Yes, No, Yes, No No, No, No, No No, Yes, No, No Yes, Yes, No, No And end up with this: Column1, Column2, Column3, NewVariable1 Yes, Yes, Yes, Yes Any suggestions on how to efficiently do this in either the existing or a new dataset? Thanks, -- View this message in context: http://n4.nabble.com/New-Variable-from-Several-Existing-Variables-tp1571574p1571574.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.
