replace the line

data.subset2 <- factor(data.subset1$Sample)

with

data.subset1$Sample <- factor(data.subset1$Sample)

I assume your intention is to change the levels of the Sample variable in
the
data.subset1 data.frame.


On Sat, Apr 21, 2012 at 3:54 PM, Melissa Rosenkranz <
melissarosenkranz@gmail.com> wrote:

> Hello,
>
> I have been banging my head against the wall trying to figure out this
> seemingly simple problem with no success. I'm hoping that one or some
> of you can help.
>
> Here is the code I am trying to use:
>
> #importing data
> data.file <-read.csv("/file/location", header=TRUE, sep = ",")
> #selecting a subset of data based on variable "Sample"
> data.subset1 <- subset(data.file,  subset=(Sample !='sample_x' &
> Sample !='sample_y')).
>
> **This leaves me a data file that has 8 levels of the variable
> "Sample" and 2 empty levels that correspond to sample_x and sample_y.
> I need to get rid of these two levels for plotting purposes, so I
> tried using the code below...
>
> data.subset2 <- factor(data.subset1$Sample)
>
> **This does get rid of the two empty levels, but also gets rid of all
> the other variables in the dataset, which I want to keep. So my
> question is, how do I accomplish getting rid of the empty levels,
> while retaining the other variables in the dataset?? I tried the
> drop.levels option of subset, but couldn't get it to do what I need to
> do.
>
> Many thanks!!
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>

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