[R] r scripting

[Christian Schulz]

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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