Thank you very much, it works cool! On Tue, Aug 18, 2009 at 9:38 AM, Gabor Grothendieck<ggrothendi...@gmail.com> wrote: > Please read the last line to every message on r-help and note the > request to provide reproducible code. > > Anyways, try this: > > Lines <- "Field1 Field2 Field3 Field4 ResultField > 1231 CA TRUE 443 TRUE > 23231 NC TRUE 123 FALSE > 1231 CA FALSE 243 TRUE > 23231 NC TRUE 123 NA" > > DF <- read.table(textConnection(Lines), header = TRUE) > > # logistic regression using first 3 rows > mod <- glm(ResultField ~., DF[1:3, ], family = binomial) > > # prediction using 4th row > predict(mod, DF[4, 1:4], type = "response") > > and also have a look at the caret package. > > On Fri, Aug 14, 2009 at 10:27 PM, Jack Su<jacks...@gmail.com> wrote: >> 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.