similar to: Multiple plots in one window

Dear R users, Hi. I want know R code of a function: predict.cv.glmnet (which is included in glmnet package). Could you let me know how I can see the R code of the function? Thank you, Soyeon Kim

I want to change leaf color by group in hclust plot. I've seen several answers about A2R package but I cannot install A2R and Rtools in windows. Do you know how to install A2R package in windows or how to change leaf color by group in hclust plot? Thank you in advance, Soyeon

Dear my R friends, I want to get a number from a list using paste function. In my example, lambda.rule <- "lambda.1se" cvtest is a list (result from cv.glmnet) and cvtest$lambda.1se [1] 1.308973 I want to call the value using paste function. I used get function but there was an error. test <- get(paste("cvtest$",lambda.rule, sep="")) Error in

Dear All, I have data which contains 14 variables. And I have to regress one of variables on each variable (simple 13 linear regressions) I try to make a loop and store only R-squared colnames(boston) [1] "CRIM" "ZN" "INDUS" "CHAS" "NOX" "RM" "AGE" [8] "DIS" "RAD"

Dear R users, Hi. I am using prediction function in ROCR package. y consists of two classes 0 and 1. However, since I am using cross-validation, a sampled small number of y may consist of only one class >y [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 In this case, prediction function gives an error: Error in prediction(predic, y) : Number of classes is not equal to 2. ROCR currently supports

Dear All, I have vn variable > vn [1] "V300" "V376" What I want to get is 300 376 without V and "" from vn variable. Could you help me about this issue? Thank you, Soyeon [[alternative HTML version deleted]]

Dear All, This is hard to describe so I made a simple example. set.seed(1001) total <- 0 data <- vector("list", 30) for(i in 1:30) { data[[i]] <- runif(50) } Let's call a data set runif(50). While the for loop is running, 100 data sets are generated. I want to restore 23th data set (the data set generated in 23th for loop) without the loop. I've tried set.seed(1023)

R 2.15.1 OS X (MLion) Colleagues, I am aware that changes in mfrow / mfcol in par() affect cex (from help: In a layout with exactly two rows and columns the base value of ?"cex"? is reduced by a factor of 0.83: if there are three or more of either rows or columns, the reduction factor is 0.66). I generate a multipage PDF in which mfrow varies such that cex is impacted. This affect

Hi. I am trying to generate a correlated binary data set. I've tried to use mvtBinaryEP, binarySimCLF, and bindata packages but none of them works in R version 2.15.1. Do you know any package to generate correlated binary covariates and work in R version 2.15.1, or how to generate it? Thanks, [[alternative HTML version deleted]]

Thank for your help I obtained profiles and I found mosaicplot as an interesting alternative. I don't like my solution about legend in profiles graphics: I inserted empty extra columns in order to avoid tue superimposed of legend. #Data N <- matrix(0,3,6) N[1,] <- c(7,7,5,0,4,4) N[2,] <- c(0,0,0,5,5,5) N[3,] <- c(4,4,0,0,3,0) rownames(N) <-

Dear r-help, I am trying to plot several scatter plots with marginal histograms on one page. Ideally, a page is equally divided into 4 figure regions. Within each figure region, a scatter plot with marginal histograms will be plotted. I followed Dr. Paul Murrell's code released online to successfully plot the scatter plot with marginal histograms. The code applies "layout()" to

Dear R-users, I often stack plots that have the same x-axis. To save space and have the plots themselves as large as possible I like to minimize the margins between the plots to zero. I use the "mfrow" and "mar" parameters to achieve this. However, the different margin settings for the individual plots lead to the inner plots being higher than the two outer plots. To make the

Good Evening- I have a set of nine scenarios I want to plot to see how the distribution is changing, if one tail is getting larger in certain scenario, currently I am using this code colnames<-dimnames(sag_pdfs)[[2]] par(mfrow=c(3,3)) for(i in 1:9) { d<-density(sag[,i]) plot(d,type="n", main=colnames[i]) polygon(d,col="red",border="grey")} where sag is

Hi there, I have a vector and would like to create a data frame, which contains all unique combination of two elements, regardless of order. myVec <- c(1,2,3) what expand.grid does: 1,1 1,2 1,3 2,1 2,2 2,3 3,1 3,2 3,3 what I would like to have 1,1 1,2 1,3 2,2 2,3 3,3 Can anybody help?

Hello! I have a 'for' loop that generates a plot with each iteration. I would either like the plots to be stacked one below the other in a single .jpg file or be stored in three different files with each file being named dynamically. The following code is an illustration of my query (but does not accomplish my aim):- for (i in 1:4) { jpeg("samplo.jpg") par(mfrow=c(3,1))

I am generating an array of similar plots using the par(mfrow=c(3,3)) method. Everything works fine except the plot only puts y-axis tick marks on cells in column one and x-axis tick marks on cells in row three. I would like tick marks on both the x and y axix of all 9 plots in my array. I am generating plots using the following two functions three.by.three.plot <- function(ss) {

Hello UseRs, I need help on how to plot several raster images (such as those obtained from a kernel-smoothed intensity function) in a layout such as that obtained from the lattice package. I would like to obtain something such as obtained from using the "levelplot" or "xyplot" in lattice. I currently use: >par(mfrow=c(3,3) to set the workspace, but the resulting plots

Dear helpeRs, Is there a better method of producing stacked charts than par(mfrow(3,1)), plot(x), plot(y), plot(z)? What I would like to do is produce a chart of several panes stacked vertically with no space between them so they appeared to be a single figure. I've attached a small example, though it is not clear that it will make it, as the posting guide doesn't say which sort of images

Hola buenas, Actualmente me hayo haciendo unas gráficas que han de tener un tamaño de letra determinado. Para ello empleo los parametros ps de las funciones x11() y en par(). Mientras hago gráficas de uno y gráficas de dos plots todo va bien. Pego las gráficas en power point y veo que las gráficas son del tamaño recomendado (pego una caja de texto y compruebo que todo es correcto de manera

Dear R users, I have a data generated as the following, dat <- data.frame(matrix(sample(24), nrow=4)) dimnames(dat) <-list(rownames=c('g1','g2','g3','g4'), colnames=c("A_CH1","A_CH2","B_CH1","B_CH2","C_CH3","C_CH3")) » dat A_CH1 A_CH2 B_CH1 B_CH2 C_CH3 C_CH3 g1 16 24 7 9 14