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...;, header=TRUE, type="double", sep="\t") Reg <- biglm.big.matrix(formula = LAannualisiert ~ 0 + VAR01 + VAR02 + VAR03 + VAR04 + VAR05 + VAR06 + VAR07 + VAR08 + VAR09 + VAR10 + VAR11 + VAR12 + VAR13 + VAR14 + VAR15 + VAR16 + VAR17 + VAR18 + VAR19 + VAR21 + VAR22 + VAR23 + VAR24 + VAR25 + VAR26 + VAR27 + VAR28 + VAR29 + VAR30 + VAR31 + VAR32 + VAR33 + VAR34 + VAR35 + VAR36 + VAR37 + VAR38 + VAR39, weights = ~Gewicht , data = NIKA) summary(Reg) Best regards form germany, berlin. Rahim Hajji [[alternative HTML version deleted]]

...s.allmisets <- list.files(getwd(),pattern="miset*",full=TRUE) allmis <- imputationList(lapply(files.allmisets, read.csv)) scale1_vars <- c("var1", "var2", "var3", ... "var20") scale2_vars <- c("var21", "var22", "var23", ... "var34") allmis <- update(allmis, myscale1 = rowMeans(allmis[scale1_vars], na.rm=TRUE)) allmis <- update(allmis, myscale2 = rowMeans(allmis[scale2_vars], na.rm=TRUE)) Any help with this or general pointers about how to manage scale construction across multiple data set...

After importing a table with "M" variables and "N" records, I'd like to calculate chi-square statistics, say, between N1, N2; N1, N3, ..., N1, Ni, and then N2, N3, ... N2, Ni, ..., Ni-1, Ni. Two loops should be ok but the manual & online help don't show a systematic way to do so but instead show hard-code examples so users have to type in the names themselves one

...il at gmail.com> To: watashi at post.com Sent: Mon, Nov 22, 2010 4:32 pm Subject: Re: [R] how to loop through variables in R? If you want to have a name-specific loop. Assign names to your variables after inserting them into the data.frame like that: colnames(df) <- c("var1","var23","var456","var44",...) for (nam in colnames(df)) { myfunction(df[[nam]]) } Data.frames support access by names. Unfortunately, in this sense I have to type in 1000 times... isn't there any function that allows retrieving and assigning all columns automatically? read....