Hi:
I have a huge data with lot of variables and I need to check the trend
variations from year to year. In order to do so, I have to cross tabulate
the year variable as top (constant) and all the remaining variables as side
(attached the cross tabulation report). I have searched the forums but th
I think my explanation in the post is not giving the full details on the job
to be done. Sorry for that. Here is what I am doing..
1. I have a SPSS data set with more than 2000 variables. However for test
purpose I have created a temporary data set with 5 variables which I am
reading it to R
I am beginner in R and I want to read a ASCII file to R environment. However,
the ASCII file is a non delimited and the data is not continuous (have some
blank spaces between the variables) so in order to read the data i have used
the below syntax i.e
test <- read.fwf("D:/R_process/ASCII.txt", widt
I have two large data sets in SPSS which I am trying to merge the files using
R - (for test purpose I included only two variables with 4 cases) and below
is the R syntax that I am using for merging the files.
data <- read.spss("D:/R_merge/Data.sav")
data1 <- read.spss("D:/R_merge/Data1.sav")
mydat
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