Hi r-help-boun...@r-project.org napsal dne 15.08.2009 04:27:39:
> 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. Well, the first idea seems to be that you could buy or borrow some book of introductory statistics and look into some R intro documents (it is in doc folder of your R installation) there are also books of introductory statistics which use R as a programming language. If you do not know much about statistics and R you possibly could toss a coin and fill your ResultField accordingly (it could be quicker and maybe more foolproof :-). I would not call myself an expert in statistics but in data like that you could try ?lm, ?glm or other modelling procedure with predict ability for future data and/or tree based package like ??mvpart Regards Petr > > 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.
