search for: latticeparseformula

This feels like inconsistent behavior. latticeParseFormula works the way I anticipated for factor, but not for ordered. I want the behavior I see with tmp2, but not with tmp. My next step is to use the right.name to isolate the tmp2[,c("a","b")] columns. tmp <- data.frame(y=(1:12)+.1, a=factor(rep(1:3,4)),...

...uot;) : argument "subscripts" is missing, with no default Does anyone know how to obtain this?? By the way: The doc on xyplot says: "The value of subscripts becomes slightly more complicated when allow.multiple is in effect. Details can be found in the source code of the function latticeParseFormula.". Sure. Best regards Søren [[alternative HTML version deleted]]

...in 1:ncol(x) : NA/NaN argument I traced this to the line in the splom function: for (j in 1:ncol(x)) id.na <- id.na | is.na(x[, j]) but the root of the problem actually seems to be earlier, when latticParseFormula is called. form <- if (inherits(formula, "formula")) latticeParseFormula(formula, data) x <- as.data.frame(form$right) This seems not to work properly if data=parent.frame(). Should it? Apologies if this is something known, or if I'm doing something wrong! I'm using R 1.6.2 under Windows 2000 Pro and lattice Version: 0.7-1 Date: 2003/03/15. Thanks, Da...

...time<-TxDBH[,1] dbh<-TxDBH[,2] M <- 4000*(1-exp(-time*(1.104-(0.67*0.7)-0.163*log(dbh))^2)) I've tried wireframe(M~t|DBH, data=TxDBH) wireframe(M~time|dbh, data=M) wireframe(M~time|dbh) also the above model specifications using cloud. but I get the following errors: Error in latticeParseFormula(formula, data, dimension = 3, subset = subset, : invalid model Error in eval(substitute(groups), data, environment(formula)) : numeric 'envir' arg not of length one any advice much appreciated. *Ben * [[alternative HTML version deleted]]

Hi, Today I came upon unexpected R behaviour. I did some modelling and the result was R object, about 28MB size (nested list, with matrixes as list elements). When I was saving the session with save.image, the resulting .RData file was 300MB. There were no other large objects: >

...impose the two distributions on the plot, as if they were in different "groups". But the resulting density plot is goofy -- it looks like it is mixing the two distributions instead of plotting each one separately. In fact I can prove that the distributions are being mixed... groups = latticeParseFormula(~ a+b, parent.frame(), multiple=T)$groups If I understand things correctly, the groups vector has length = the combined size of the input vectors (e.g. 110 in this case). The values in "groups" are factors indicating which input vector is being pulled from. So there should be 10 a'...

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@r-project.org # ###################################################### <<insert bug report here>> Is this a bug in the parser? Specifically, the trace