Hi Michael, May be you have NA on your dataset.
x<-runif(20) y<-runif(20) cor(x,y) x[10]<-NA x cor(x,y) # SEE the error because NA cor(x,y, use = "pairwise.complete.obs") Good luck, miltinho brazil On 6/23/08, Tong, Michael <[EMAIL PROTECTED]> wrote: > > Hi, > > I have recently been using the R program and encountered a recurring > problem. I have been trying calculate the correlation of a 16 column table. > Everytime I type in cor(test), where test is data that I uploaded into R > using the read.table function, I get an error: > > Error in cor(test) : missing observations in cov/cor > In addition: Warning message: > In cor(test) : NAs introduced by coercion > > Can anyone tell me what I am doing wrong and what I need to do to correct > this? > > Also I intend on running the T-Stats, P-Stats, Information Coefficient and > Information Ratios once I get the correlation table calculated. If you know > which packages, if any, have are able to calculate this, that would be > helpful. > > Thanks. > > Best, > > Michael Tong > Futures Associate > Quantitative Research Services > Franklin Templeton Investments, Inc. > 600 Fifth Ave > New York, NY 10020 > (212) 632-4254 > [EMAIL PROTECTED] > > Notice: All email and instant messages (including attachments) sent to > or from Franklin Templeton Investments (FTI) personnel may be retained, > monitored and/or reviewed by FTI and its agents, or authorized > law enforcement personnel, without further notice or consent. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
