There does not seem to be a function exactly similar to MATLAB's "fprintf" in
R, but you can achieve pretty much the same results using something like the
code below:
a <- 1:10
b <- 11:20
ab <- cbind(a,b)
sink("C:\\R\\test.txt") # open file to write data to - file will be deleted if
it exists
cat(paste("The number is: ", 5, "\n", sep=""))
sprintf("The dimensions of matrix ab is: %i x %i", dim(ab)[1], dim(ab)[2])
# compare with the line below
cat(sprintf("The dimensions of matrix ab is: %i x %i", dim(ab)[1],
dim(ab)[2]),"\n") # compare with the line above
cat(sprintf("%s is %f feet tall", "Sven", 7.1),"\n")
sink() # close file
# do more stuff
# append to previous file
sink("C:\\R\\test.txt", append=TRUE) # open file for appending
cat("\n")
cat("Test in appending\n")
sink() # close file
You wrote:
Dear All,
Currently, I am translating Matlab code to R. I met difficulties to translate
such Matlab codes into R:
fprintf(fid,(' SPLITTING RESULTS '));
fprintf(fid,(' \n'));
fprintf(fid,' Data base to analyze is a matrix %4i x %2i ',[n m]);
fprintf(fid,' \n');
fprintf(fid,' h is %2i',h);
fprintf(fid,' \n');
fprintf(fid,' group=0 outlier.\n');
fprintf(fid,' group=-1 discriminator or observation removed by the rules.\n');
fprintf(fid,' \n');
Does anyone happen to know if R has similar function as fprintf in Matlab?
Thanks a lot!
Best
Zunqiu
Jude Ryan
Director | MarketShare
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