``The R Page"
(November 5, 2014)
- R instructions
- Example input data
file.
-
I have posted a
sample session *.txt log generated by the two files above.
- The session creates the files data3.txt and data3.csv and summary.tex .
- To process the summary.tex file, add in latex boilerplate to get summary1.tex and then run it
through latex to get summary1.pdf.
- By using save-as commands during the session, one can save the plots that
are created, in the format of your choice. Examples are
r-fig1-
histogram.bmp and r-fig2-scatter.pfd.pdf
and r-
fig3-kernel.density.tif and r-fig-regression.jpg.
To list the files in the current directory: list.files().
To list the variables in the current dataset:
names(mydata) or str(mydata) Do NOT use ls().
Reading in data:
rm(list=ls(all=TRUE))#cleans up and removes everything from memory
rdata <- read.csv("nov1data.csv")
nov1data <-as.data.frame(lapply(rdata,as.numeric))
attach(nov1data)
#creates a new dataset that is rdata made numeric, and uses it
remove(rdata)
save(list = ls(all = TRUE), file= "nov1data.RData")
remove(nov1data)
load("nov1data.RData")
ls() # to check that nov1data is reloaded, and nothing else.
WRITING OUT DATA:
library(xlsx)
write.xlsx(mydata, "c:/mydata.xlsx") #I didn't check this.
write.table(mydata, "mydata.csv", sep=",")#Didn't check yet.
# export data frame to Stata binary format
library(foreign)
write.dta(nov1data, "junk.dta") #this worked.
Location: http://www.rasmusen.org/a/r.htm
Comments:
Erasmuse@Indiana.edu.