similar to: Help with coloring segments on a plot

Hello, I have two questions. I'd like to visualize data with a heatmap and I have the following testcase: x <- rnorm(256) nx <- x + abs(min(x)) nnx <- 255/max(nx) * nx x <- matrix(nnx, 16, 16) rownames(x) <-

Hello, this is probably a recurrent question, but I couldn't find any answers that didn't involve the expression "data frame"... so perhaps I'm looking for something new here. I wanted to find a code equivalent to > x=sqrt(1:10) > y=log(1:10) > plot(1:10, x, type="lines", col="darkgreen") > lines(1:10, y, col="red") to use with

This may be elementary, but I can't find an answer: How can I set up global options for some specific arguments to functions in a package which can be easily changed by the user? This question relates to the selection of colors used in functions in several packages (heplots, genridge), where I want to provide reasonable default values for plots, but allow users to change those defaults

Dear Users, I helped to install R Commander and FactoMineR to one of my collegaues. He wanted to do an MCA. Selecting three variables and using the default settings results in only one graph, the variables representation, where he gets three points for the three variables (which is totally fine). Running the code (output of the point-and-click method) EuTop100.MCA<-EuTop100[,

Hi, I have tried to develop multidimensional scaling for 3D space using PCA without success, yet;-) Is there some application ready in R? Cheers, Atte

Dear List Members, I am working on a below piece of code: Initially have created pie charts with Enlish labels to present the data for Czech Republic, now however I need to print the label with original Czech fonts. When I copy paste from Word, certain fonts get 'simplified' distorting original spelling. How can solve this problem? Is there a package I can download which will support

Just as an exercise I am tying to add colours to a geom_segment command. I can get one colour but not a sequence of colours. Can anyone suggest how I can get the green lines in the plot below to be different colours? I thought I could use a palatte of colours but that did not seem to work. Thanks ========================================================================= library(ggplot2) xx

Hi, im a newbie with very wobbly coding abilities. Tearing my hair out over getting the boxplot i want... I have a dataset called 'eagle' which consists of year (2011 or 2012), month (jan - dec), roof (TT6, TT13 or BARE) and temp (the continuous variable that i want to plot). So i want boxplots of the three roof treatments in every month organised in chronical order along x axis 2011 -

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Hi,   I need to generate a heatmap on a square matrix and wouldn't want to reorder the columns and the rows on the heatmap display.    I have used the options Rowv=NULL and Colv=NULL but doesn't seem to work. Following is a snippet of the heatmap function i am using. args <- commandArgs(); inputfile <- args[2] imgfile   <- args[3] bitmap(imgfile, height=15, width=15, res=100,

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

I have a bivariate plot of axis2 against axis1 (data below). I would like to use different size, type and color for points in the plot for the point coming from different region. For some reasons, I cannot get it done. Below is my code. col <- rep(c("blue", "red", "darkgreen"), c(16, 16, 16)) ## Choose different size of points cex <- rep(c(1, 1.2, 1), c(16, 16,

How do I reverse the order of the legend in a bar plot to match order of the x-axis? In other words, I want the stacked colors of the legend to match the stacked colors of the bar plot. I tried this, but it didn't work. colors <- c("5" = "red","4" = "blue","3" = "darkgreen") p <- qplot(factor(cyl), data=mtcars,

I have following codes for ggplots. The legends are given in the plot do not match with the values specified in the codes given below. Your helps highly appreciated. Greg library(ggplot2) p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+ theme_bw() +theme(panel.border=element_blank()) + geom_point(size=3) p2<-p+scale_color_manual(name="Super.Pathway",

Dear All: Just fixed where is the problem I am trying to use the R function "svm" with "type~." , but I got the following error message SVM.Model1 <- svm(type ~ ., data=my.data.x1x2y, *type='C-classification'*, kernel='linear',scale=FALSE) *Error in eval(predvars, data, env) : object 'type' not found* I am wondering if I should install a

How to adapt this piece of code but for: - gamma distribution - 3 parameter log normal More specifically, where can I find the specification of the parameter (lmom) for pelgam() and pelln3()? Lmom package info just gives: pelgam(lmom), lelln3(lmom), where lmom is a numeric vector containing the L-moments of the distribution or of a data sample. # Draw an L-moment ratio diagram and add a line for

Dear All: I am trying to use the R function "svm" with "type =C-classification" , but I got the following error message SVM.Model1 <- svm(type ~ ., data=my.data.x1x2y, *type='C-classification'*, kernel='linear',scale=FALSE) *Error in eval(predvars, data, env) : object 'type' not found* I am wondering if I should install a specific R

Hola, Estoy haciendo un gráfico con: ############################################################################# ## GRAFICO BARRAS : VALORES AL DEBE MENSUALIZADO ggplot(Diario_S2, aes(x=mes_AAA, by = MES , y=ARS_DEB))+ # ASIGNAR VARIABLES geom_bar(stat="identity", width=0.7, # ANCHO BARRAS colour="grey", fill="darkgreen", #