Hello,
I have been trying to write a small program to generate automatic plots. What
I want is to draw boxplots for some variables in my data frame, contrasting
with a variable called 'missing' that has value 1 if some variable in a
concrete case has at least one missing value, in order to check if the cases
that don't enter in my analysis are biased.
The first attempt was to start generating a list with the variables of
contrast and then apply the list to the plots:
> varlist <- c("var1", "var2", "var3", "var4", ...)
> for (i in 1:length(varlist)) {
+ jpeg("varlist[i].jpg", width=480, heigth=480)
+ boxplot (varlist[i] ~ missing, xlab="missing values", ylab="varlist[i])
+ }
But I got 'Error in model.frame(formula, rownames, variables, varnames,
extranames: invalid variable type'
I suppose that is because I forget something related to the extraction of
values in vectors, but I can't find it on the R manual neither in other books
about R that I have checked.
Is there a way to draw plots using commands like the one above?
Thanks,
Xavier
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