similar to: question on latticeParseFormula (PR#2602)

# 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 # ###################################################### Is this intended behavior for the read.fwf(na.strings="-999")? I anticipated that

Dear all, Consider this plot xyplot(Sepal.Length + Sepal.Width ~ Petal.Length | Species, data = iris, allow.multiple=T, outer=F, panel = function(x,y,...) { panel.xyplot(x,y,...) } ) I want to *add* some things to each panel and what I want to add involves using the data for each panel, so I try to take this subset of data out with subscripts:

I've been experimenting with the lattice graphics in chapter 3 of MASS. The code to produce figure 3.14 is: data(crabs) library(mva) lcrabs.pc <- predict(princomp(log(crabs[,4:8]))) crabs.grp <- c("B", "b", "O", "o")[rep(1:4, rep(50,4))] splom( ~lcrabs.pc[, 1:3], groups = crabs.grp, panel = panel.superpose, key = list(text =

Hi, I'm trying to plot an equation in two variables to get a feel for sensitivity to its parameters. I've run expand.grid to get made-up vectors of the combinations of the two independent variables, and am trying to plot the output of the dependent, M, against both the dependent in a 3d space. t <- 0:100 DBH <- 10:100 TxDBH<-expand.grid(t,DBH) time<-TxDBH[,1]

I tried this : > mosaicplot(stoc ~ q9r + segca,data=tmp2,color=T) : works fine. And now, this : > mosaicplot(stoc ~ q9r + segca, data=tmp2, color=T, main="Big title") Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : invalid variable type I'm probably stupid and missed something simple in the manual (and wouldn't like to be

Hello! I am merging two datasets and I have encountered a problem with sort. Can someone please point me to my error. Here is the example. ## I have dataframes, first one with factor and second one with factor ## and integer > tmp1 <- data.frame(col1 = factor(c("A", "A", "C", "C", "0", "0"))) > tmp2 <- data.frame(col1 =

Dear all, The function f() below is a function of m1 and m2, both of which are matrices with 3 rows. The function works sequentially one row after another. So altogether there are three stages. I am trying to update the coding to write a generic function that will work for arbitrary k stages. I am hoping to get some suggestion and help. Thanks so much! Hanna ##x, y are two

Hi R-users, I'm quite new to R and trying to learn the basics. I have a following problem concerning the convertion of array object into data frame. I have made following data sets tmp1 <- rnorm(100) tmp2 <- gl(10,2,length=100) tmp3 <- as.data.frame(cbind(tmp1,tmp2)) tmp3.sum <- tapply(tmp3$tmp1,tmp3$tmp2,sum) tmp3.sum <- as.data.frame(tapply(tmp1,tmp2,sum)) and I want the

Suppose I have a data frame, such as the one below: tmp <- data.frame(index = gl(2,20), foo = rnorm(40)) And further assume it is sorted by index and then by the variable foo. tmp <- tmp[order(tmp$index, tmp$foo) , ] Now, I want to grab the first N rows of tmp for each index. In the end, what I want is the data frame 'result' tmp1 <- subset(tmp, index == 1) tmp2 <-

Hi, I'm using LLVM 2.7 right now, and I found "opt -std-compile-opts" has missed some opportunities for optimization: define void @spa.main() readonly { entry: %tmp = load i32* @dst-ip ; <i32> [#uses=3] %tmp1 = and i32 %tmp, -16777216 ; <i32> [#uses=1] %tmp2 = icmp eq i32 %tmp1, 167772160 ; <i1> [#uses=2]

Hi, I'm not sure what the expected behavior of calling a bitcasted function is. Suppose you have a case like this (which you get on the source level from attribute alias): @alias_f32 = alias bitcast (i32 (i32)* @func_i32 to float (float)*) define internal i32 @func_i32(i32 %v) noinline nounwind { entry: ret i32 %v } define void @bitcast_alias_scalar(float* noalias %source, float* noalias

Hi, Can any llvm pass change simple return branch into select/return pair? For example: define i10 @mod_N(i10 zeroext %a) zeroext { entry: %tmp2 = icmp ugt i10 %a, -400 ; <i1> [#uses=1] br i1 %tmp2, label %cond_true, label %return cond_true: ; preds = %entry %tmp5 = add i10 %a, 400 ; <i10> [#uses=1] ret i10 %tmp5 return: ; preds = %entry ret

I'm using R 2.10.0, with zoo 1.5-8. The release notes for zoo 1.5-8 claim a bug with unique for yearmon objects has been fixed, but I'm still having problems. Browse[1]> tmp2 [1] "Dec 1996" "Dec 1996" Browse[1]> unique(tmp2) [1] "Dec 1996" "Dec 1996" Browse[1]> unique(unique(tmp2)) [1] "Dec 1996" Browse[1]> as.numeric(tmp2) -

This is great. Thank you for your help, but let me make sure I fully understand. Here is the looping file I use to subset the data frame, create a tex file, and Sweave it. This results in N number of tex files where N is equal to the number of rows in the data frame. list <- unique(wide$stuid) master = "master.tex" for (i in list){ tmp1 <- subset(wide, stuid==i) tmp2

Dear R users, I have a simple problem I cannot solve, but I sure you can help. I have two vector, let say > tmp1 <- c("a", "a", "b", "c") > tmp2 <- c("a", "a", "b", "c", "c", "d") and I want to create a matrix of two column for which I have all the combinations of the same character,

Hi All, I noticed LLVM target independent side is converting an ordered less than "setolt" into unordered greater than "setuge" operation. There are no target hooks to control going from the ordered mode into unordered. I am trying to figure out the best way to support unordered operation on Hexagon. We don't have a single instruction to do unordered operation. So we

Hi, I have two problems regarding the llvm.stackrestore intrinsic. I'm running on 3.0, but a quick test on trunk also showed the same behavior. First problem: --------------- I have code like: tmp1 = call llvm.stacksave() tmp2 = alloca [do some stuff with tmp2] call llvm.stackrestore(tmp1) [some other stuff] tmp3 = call llvm.stacksave() tmp4 = alloca [do some stuff

Hi, I found a difference between Clang and GCC in alias handling. This was with a benchmark where Clang was considerably slower, and in a hot function which does many more loads from the same address due to stores between the uses. In other words, a value is loaded and used, another value is stored, and then the first value is loaded once again before its second use. This happens many times,

Dear all, I am having some trouble with getting the rpart function to work as expected. I am trying to use rpart to combine levels of a factor to reduce the number of levels of that factor. In exploring the code I have noticed that it is possible for chisq.test to return a statistically significant result whilst the rpart method returns only the root node (i.e. no split is made). The following

Hello! Does R core find the following pacth usefull - I created methods for levels for list and data.frame, which can be usefull to get a list of levels for entries in a list or columns in a data.frame. Patch is attached and shown bellow example # Example > tmp <- list() > tmp$a <- factor(letters[1:10]) > tmp$b <- factor(letters[5:14]) > tmp$c <- 1:10 > tmp1 <-