You did not put the altered columns back into the data.frame,
so glm() never saw them. Does the following work?
func <- function(x,y,z) {
#x is a data frame
#y is a formula for the regression
#z vector of names of columns of x to convert to factors
for (name in z) {
x[[name]] <- factor(x[[name]])
}
glm(y, x, family=binomial(link = "logit"))
}
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Feb 18, 2015 at 5:40 PM, Evan Kransdorf <evan.kransd...@gmail.com>
wrote:
> Hello,
>
> I am passing a df to a function and then want to declare factors (based on
> a vector of column names in the df) for a logistic regression. I am having
> trouble - R doesn't seem to recognize the factors as declared in the
> function? Below is my code. Does anyone have any ideas?
>
> MyFunction <- function(x,y,z) {
> #x is a data frame
> #y is a formula for the regression
> #z vector of factors to be declared
> name<-NULL
> temp<-NULL
> for (i in 1 : length(z)) {
> name<-paste0(substitute(x),"$",z[i])
> print(name)
> temp<-eval(parse(text = name))
> temp<-factor(temp)
> print(levels(temp))
> } #for
> model<-glm(y, x, family=binomial(link = "logit"))
> return(model)
> } #func
>
> Thanks very much!!!
>
> [[alternative HTML version deleted]]
>
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