Hi,
Thank-you for the response!! That worked great!! Is there any way to apply
a weight variable to your file similar to what you can do in SPSS? So that
all of your other variables will be weighted by the weight variable?
Thanks,
Nat
__________________
Hi,
i am trying to read a .txt file, do a couple of select if statements on my
data, and then finally use the ?table function to get frequency counts on
the data. Specifically, i am looking at answering the following question:
What is the frequency of Grade 7 students in the province of Alberta who
are smokers?
I am having some problems:
1)i cannot get the column names to show up when print to screen
2)I cannot seem to skip variables properly when i choose certain other
variables
3)i cannot get the combination of Select If statements to work to produce
a different table with my new criteria
Here are the variables
PUMFID position1 length 5
PROV position 6 length 2
GRADE position 9 length 2
Y_Q10A position 33 length 1
Y_Q10A has the following 1=yes
2=no
9=skip
all the others have no skipped or missing values
Here is my code:
myfile<-("c:/test2.txt")
myVariableNames<-c("PUMFID","PROV","GRADE","Y_Q10A")
myVariableWidths<-c(5,2,2,1)
mydata<-read.fwf(
file=myfile,
width=myVariableWidths,
col.names=myVariableNames,
row.names="PUMFID",
fill=TRUE,
strip.white=TRUE)
print(mydata)
print( mydata [which(PROV=="AB" & GRADE==7 & Y_Q10A<9), ] )
Any help would be greatly appreciated!!
Thank-you,
Nat
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