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!

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