similar to: creating mulptiple new variables from one data.frame according to columns and rows in that frame

Dear all, I am attempting to export my results (data.frame) created with the help of a number of you to Excel. In the procedure my column structure is however lost and all results are placed together into the first Excel column. I have tried: write(), write.table(), write.matrix(), export() and have the same results. I Have checked the import/export FAQ and did a Google search to no avail. Any

Dear all, In my attempt to run the below modelling command in R 2.7.0 under windows XP (4GB RAM with /3GB switch set) I receive the following error: Error: cannot allocate vector of size 1.5 Gb I have searched a bit and have tried adding: --max-mem-size=3071M to the command line (when set to 3G I get the error that 3072M is too much) I also run: > memory.size() [1] 11.26125 >

Dear all I am trying to build a package in Windows. I use the following command (which it used to work with previous versions ) and I am getting the following error #-------------------------------------------------------------------------------------------------------------- C:\PROGRA~1\R\rw2000\bin>Rcmd build --binary --use-zip C:\PROGRA~1\R\rw2000\src\library\gamlss * checking for

Hi I have been trying so many different things to get my Inverse Mills Ratio going for a Two stage Heckman Model, I have tried the following so far (the commands are listed below till teh point where I get an error), I get an error in the last sentence (marked in bold below), if this were successful then I could have used the IMR as a control in my OLS (which would be the OLS for the outcome

hi all, i wanted to use the sink function to sequentially output regression summaries within a for-loop. i must have something wrong somewhere (or be using the sink function incorrectly), but can anyone help? the code I am using is: where data.x is a data.frame of independents, and data.y is a data.frame of dependents. > for (i in 1:length(data.y)){ > taxa.i <- names(data.y[i])