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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