Re: [R] Variable Class "numeric" instead recognized by dplyr as a 'factor'

Yes, but I think of numeric data with non-numeric values (e.g. "." for missing) as character, not numeric. Missing to me means either empty or with the missing value code specified as you describe. Ergo my comment. Your clarification is nevertheless appropriate. Cheers, Bert Bert Gunter "Data is

Re: [R] Variable Class "numeric" instead recognized by dplyr as a 'factor'

> On 27 Sep 2015, at 22:12 , Bert Gunter wrote: > >> >> Due to missing data, R originally classified each X and Y variable as a >> ‘factor’, subsequently changed to ‘numeric’ via ‘as.numeric’ command. > > No. > a) missing data will not cause numeric data to become factor. There's > something

Re: [R] Variable Class "numeric" instead recognized by dplyr as a 'factor'

I believe you need to spend some time with an R tutorial, as I don't believe what you understand what factors are and how they should be used."Dummy variables" are also almost certainly unnecessary and usually undesirable, as well. A few comments below may help.. Cheers, Bert Bert Gunter "Data

Re: [R] Variable Class "numeric" instead recognized by dplyr as a 'factor'

I doubt that dplyr is the problem. have a look at the output of str(CSUdata2) The problem is probably in there. Sending a reproducible example of the problem makes it easier for us to help you. Note that this list doesn't accept HTML mail. I suggest that you read the posting guide carefully. ir.

[R] Variable Class "numeric" instead recognized by dplyr as a 'factor'

Hi--I’m new to R. For a dissertation, my panel data is for 48 Sub-Saharan countries (cross-sectional index=’i’) over 55 years 1960-2014 (time-series index=’t’). The variables read into R from a text file are levels data. The 2SLS regression due to reverse causality will be based on change in