Hi,
I am writing a .R script to plot some data from a file, all info given from
command line.
For example:
Rscript Rtest.R sas_summary.csv sas_score_pre sas_score_post
...will try to plot columns of data "sas_score_pre" and
"sas_score_post"
from the file "sas_summary.csv".
I can extract these using :
args <- commandArgs(TRUE)
data<-data.frame(read.csv(args[1]))
attach(data)
pre <- args[2]
post <- args[3]
I then want to do some arithmetic on the columns for plotting:
dat=data.frame(pre,post)
dat$diff <- dat$pre - dat$post
dat$mean <- ( dat$pre + dat$post)/2
the problem is they are of class "character":
pre
post
class(pre)
class(post)
...gives
[1] "sas_score_pre"
[1] "character"
[1] "myo_score_post"
[1] "character"
So then the following code:
dat=data.frame(pre,post)
dat
dat$diff <- dat$pre - dat$post
...gives the error:
pre post
1 sas_stress_score myo_isch_score
Warning message:
In Ops.factor(dat$pre, dat$post) : - not meaningful for factors
Warning message:
In Ops.factor(dat$pre, dat$post) : + not meaningful for factors
Error: Discrete value supplied to continuous scale
Execution halted
How can I make the data frame read the column headers from the input and
associate it with the columns in "data"?
Hope this makes some sense?!?
thanks
Scott
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