I'm trying to follow this guide here:
http://www.ats.ucla.edu/stat/r/modules/dummy_vars.htm
In which I'm creating categorical variables using the factor function.
I am able to go through the example listed above and have everything work,
however, when I try to input my own numbers, I get an error. I input the
following:
> hits = read.csv(file.choose())
> attach(hits)
> day.f <- factor(day)
> lm(write ~ (day.f))
lm(write ~ (day.f))
Error in model.frame.default(formula = write ~ (day.f), drop.unused.levels =
> TRUE) :
> object is not a matrix
>
So I import "hits = read.csv(file.choose())" a .csv file, which has the
columns "visits" and "day" where "visits" is the number of hits to a
website, and "day" is a number 1-7, for example 1 corresponds to Sunday and
7 corresponds to Saturday. I understand that the day variable needs to be a
categorical variable, and I'm trying to use the factor function to do this.
I would like to be able to run a regression that will correlate the day
with the number of hits.
Any help would be much appreciated.
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