Please have a look at the posting guide. For your problem of loading the data, we do not know what you have done and, therefore, cannot even try to guess what the reason for the error message may be. So at least we need information what you did in R (the code). Second, the posting guide generally requires to provide minimally self-contained code. In other words, an example that we just have to copy in the R prompt that reproduces your problem. Often the attempt to create such an example makes you find the source of the error yourself.
As for the modeling question, yes, R allows you to predict for many estimated models. However, this is "dangerous" if you are new to statistics and don't really know what you are doing. You should ask your/a local statistician/econometrician to help you with modeling your data. Everything we could do from a distance is vague, especially given the vague description of your data. Best, Daniel ------------------------- cuncta stricte discussurus ------------------------- -----Ursprüngliche Nachricht----- Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im Auftrag von Jack Su Gesendet: Friday, August 14, 2009 10:28 PM An: r-help@r-project.org Betreff: [R] How to use R to perform prediction based on history data Say I have a csv file, each row contains several fields, one of them are whether the row is success. In history data, I have all the fields including the result of whether it is success. In future data, I only have fields without the result. For example: history data: Field1 Field2 Field3 Field4 ResultField 1231 CA TRUE 443 TRUE 23231 NC TRUE 123 FALSE 1231 CA FALSE 243 TRUE The future data: Field1 Field2 Field3 Field4 23231 NC TRUE 123 I am newbie in R and statistics, I just feel R could have some mechanism to give the probably of success rate based on history data. I tried to read in the csv data, and try to call "factor" on the list, but I am seeing error message: Error in sort.list(unique.default(x), na.last = TRUE) : Any idea are highly welcome. Thanks in advance. ______________________________________________ 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. ______________________________________________ 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.
