similar to: loop

Hello all! I have a problem with ggplot2 library. I want to do an heat map and the y variables are the year months. If I use the following code, he y values are in alphabetical order, but I want it in month order. The code is: library(reshape) library(ggplot2) library(scales) p <- ggplot(data.m, aes(variable, Month)) + geom_tile(aes(fill = value),

hi, i'm trying to figure out if there's any possibility to write a whole vector into a matrix or data.frame or something like that. i don't mean transormation. Here an example: [,1] [,2] [1,] "a" "d" [2,] "b" "e" [3,] "c" "f" where e.g. a is a<-c(0,1) vector of length 2, b a vector of length 4,... (i know that

On converting character variables to ordered factors, regression result has strange names. Is it possible to obtain same variable names with and without intercept? Thanks, Naresh mydf <- data.frame(date = seq.Date(as.Date("2024-01-01"), as.Date("2024-03-31"), by = 1)) mydf[, "wday"] <- weekdays(mydf$date, abbreviate = TRUE) mydf.work <- subset(mydf, !(wday

I was noticing mainly sign differences amoung the solutions to QR decomposition. For example R: > x <- matrix(c(12,-51,4,6,167,-68,-4,24,-41),nrow=3,byrow=T) > x [,1] [,2] [,3] [1,] 12 -51 4 [2,] 6 167 -68 [3,] -4 24 -41 > r <- qr(x) > r$qr [,1] [,2] [,3] [1,] -14.0000000 -21.0000000 14 [2,] 0.4285714 -175.0000000 70 [3,]

Hi friends, I have questions about printing a pretty big size matrix. As you could see from below, the matrix wasn't showed in R at full size (11X11), but it was cut partly into three smaller matrices (11X4,11X4,11X3). I'm wondering if there is a way to show the whole matrix with dimension 11X11, do you know how to make it? If R really couldn't fit the full big matrix at once, what

There's something peculiar that I do not understand here. However, did you realize that the thing you are assigning into parts of `a' is NULL? Check you're my.test.boot.ci.1: It's NULL. Be that as it may, I get: > a <- data.frame(matrix(1:4, nrow=2), X3=NA, X4=NA) > a X1 X2 X3 X4 1 1 3 NA NA 2 2 4 NA NA > a[a$X1 == 1,]$X3 <- NULL > a X1 X2 X3 X4 1 1

Dear All I want to arrange our output in 3 columns in R. Example: N 04320 03010 00514 00604 00563 03430 03022 V 22.000000 0.000000e+00 15.0000000 15.0000 13.0000 1.300000e+01 51.0000000 p 0.640625 2.910383e-11 0.4257812 0.4375 0.6875 3.356934e-04 0.2434998 N 03060 04140 03050 00562 00565 V 20.0000000 62.00000000 273.0000000

Dear R helpers, I am having trouble with an array inside a loop. I wish to accumulate the results of a function in an array within the function, over several loops of a program outside the function. The problem is that the array seems to re-set at every entry to the function. Here is an example, so you can see what I mean.

Hello all, I'm was going through the help for ?rpart.object And noticed some inconsistencies, Some might be a mistake in the help file and some might be my misunderstanding. The help in the section: value -> frame (first paragraph), states that: > yval, the fitted value of the response at each node, *and splits, a two > column matrix of left and right split labels for each node. *

Hi all, I try to make a split-plot with poisson errors using glmmPQL, but I have some doubts about the model simplification. Look my system: Block = 3 blocks Xvar1 = 2 levels Xvar2 = 13 levels Yvar = Count data Response I need know about the behaviour of Var1, Var2 and interaction Var1:Var2. Look the levels: > levels(Xvar1) [1] "A" "B" > levels(Xvar2) [1]

This 'strange behaviour' manifest itself within some quite complex code. When I created a *very* simple example the behaviour dissapeared. Here is the simplest version I have found which still causes the strange behaviour (it could be quite unrelated to the boot library, however). library(boot) ## boot statistic function my.mean.s <- function(data,subset){ mean(data[subset]) }