[R] r scripting
Christian Schulz
chschulz at email.de
Thu Jun 18 17:55:20 CEST 2009
Hi,
perhaps that is what you want?
> df <- as.data.frame(matrix(runif(100),ncol=10))
> form <- as.formula(paste(names(df)[length(df)], "~ ."))
> lm(form,data=df)
Call:
lm(formula = form, data = df)
Coefficients:
(Intercept) V1 V2 V3 V4
-1.367 -2.920 3.631 -7.259 -3.704
V5 V6 V7 V8 V9
4.225 3.049 4.522 2.496 -0.578
> form <- as.formula(paste(names(df)[length(df)],
"~",paste(names(df)[3],names(df)[4],sep="+")))
> lm(form,data=df)
Call:
lm(formula = form, data = df)
Coefficients:
(Intercept) V3 V4
0.652 0.360 -0.448
Regards,Christian
> Hi!
>
> I have a dataset with some 300+ variables and 2000+ records. I'd like to grind
> through a bunch of analyses on the variables by using a script, but can't
> figure out how to refer to variable names properly. For some of the simpler
> stuff I use various "apply" functions, but for others (like t-tests etc) I need
> by command procedures. I've tried various flavors of "for(var in
> names(Dataset)){...}" but this does not work consistently. Actually, "for(var
> in names(Dataset){print var}, seems to work perfectly, giving a list of
> variable names, but "for(var in names(Dataset)){mean(var, na.rm=T) or for(var
> in names(Dataset)){glm(var~var1+var2+var3....} do not.
>
> Any suggestions about how best to go about this?
>
> Thanks
>
> Jon
>
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