Perhaps something involving: sapply(dataFrame, function(z) length(unique(z)))
Pat On 17/05/2014 17:31, a...@dpi.inpe.br wrote:
Hello everybody! I have a data frame with discrete and continuous variables something like this: 0 1 1.46270716 5309.0171 912.5704 1000.0000 1 0 1.55237329 5559.0171 809.0170 1000.0000 0 1 1.19595444 5809.0171 750.0000 1000.0000 2 2 0.96467876 6059.0171 707.1068 1000.0000 1 0 1.46927392 3250.0000 559.0170 750.0000 2 0 1.65267885 3500.0000 707.1068 750.0000 Discrete variables should be specified as factor >as.factor() and continuos variables as numeric >as.numeric(). The problem is: The users that will enter with the variables. Is it possible identify which input variable are continuous or discrete? Thank guys! ______________________________________________ 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.
-- Patrick Burns pbu...@pburns.seanet.com twitter: @burnsstat @portfolioprobe http://www.portfolioprobe.com/blog http://www.burns-stat.com (home of: 'Impatient R' 'The R Inferno' 'Tao Te Programming') ______________________________________________ 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.
