similar to: adding color bar to a graph

Dear list, I have done a scatter plot of multiple variables in the same graph, with different col and pch. I managed to do it with the following code but not know how to make a function of these so that next time if I want to do similar graph but with new variables, I dont have to copy the code and then change the old variables with the new ones but just call a function with the new

Hi, why doesn't this work properly when 'positions' is a vector of strings? All the data sets get totally mixed... positions <- rep ( c("1","2","3","4","5","6","9","10","11","12","13","14", "error", "no trial"), 45 ) compound <- matrix(

I have the following R code to create a plot with two y axes. I am essentially trying to plot a price series with a volume series on the same graph. (i.e. to compare price with volume). I can label the first y axis successfully, but the problem is in labeling the 2nd y-axis. Essentially, the label never appears. It seems as though there is not enough margin on the right hand side of

Ok, now we have the mapping of color names to color codes (see below) and conversion to rgb (something like Ben Bolker's function), but how to convert rgb to hsv? Thanks to Brian Ripley, Peter Dalgaard and Ben Bolker Details below Regards Jens etc/colors.big maps 455 names to rgb in S syntax etc/rgb.txt maps 657 names to rgb in C syntax, but unlike colors() it has mixed upper and

Thank you that is exactly it! The problem was to connect each point of the series 'Conc' with a line. Best regards Luigi On Sat, Jul 1, 2023 at 8:33?PM Chris Evans <chrishold at psyctc.org> wrote: > > > On 01/07/2023 19:20, Luigi Marongiu wrote: > > Hello, > > I have a dataframe with measurements stratified by the concentration > > of a certain substance.

Dear Experts, I am using the below script to generate the heat map of gene expression data. I am using Hierarchical Clustering (hclust) for clustering. Now I want to compare different clustering parameters such as *K-means* clustering, Model Based Clustering, I have two queries: 1. How to incorporate different clustering method in the same code? 2. Is this possible to implement pvclust in the

HI everyone, I''m trying to assign colors to multiple lines in a graph. Problem is I don''t want to type in as many colors as there are lines....is there a way around this? In brief, I''m plotting the logratio for up to 60 samples and want a different color for each sample. Here is the code I''m using now.. Any help is greatly appreciated.. Best LT data <-

Dear list, I'm forwarding these 2 messages as suggested by the package developer. My system is > sessionInfo() R version 2.9.0 (2009-04-17) i486-pc-linux-gnu on Ubuntu 8.04, with r-base-core, r-base-dev and r-recommended installed from binaries through Synaptic. I normally install the rest of packages using install.packages() from within R (started from an xterminal by su) Agus

Hi, I am new to R and I would like to get your help in finding 'outliers'. I have mvoutlier package installed in my system and added the package . But I not able find a function from 'mvoutlier' package which will identify 'outliers'. This is the sample list of data I have got which has one out-lier. 11489 11008 11873 80000000 9558 8645 8024 8371 It will

Wine 9.30 Slackware 11 ATI FireGL 5200 (Propriatory drivers) I found Shogun in a shop as a 'Classic' game and I've been trying to get it to work using Wine. Shogun uses Safedisc and so does not work in it's, ahem, original form. However it can, shall we say, be persuaded to get over it's difficulties and at least run. This is where I am now. I have the game running and

I haven't seen this cryptic warning before: > update.views('Robust') Warning message: In update.views("Robust") : The following packages are not available: covRobust, distr, FRB, MASS, mblm, multinomRob, mvoutlier, quantreg, RandVar, rgam, RobAStBase, robfilter, RobLox, RobRex, robust, RobustAFT, robustbase, ROptEst, ROptRegTS, rrcov, sandwich, wle >

Hello all, I am estimating parameters for regression functions on experimental data. Functional response of Rogers type II. I would like to know which points of my dataset are outliers. What is the best method to do this with R? I found a method via R help, but would like to know if there are better methods for my purpose. Here is the script I us now: library("mvoutlier") dat

This is the JITCodeEmitter patch, this is to facilitate cordening off the JIT code from the future direct object emission code (i) supporting the upcoming ObjectCodeEmitter class, on the X86, ARM, Alpha, and PowerPC platforms. This involves generic parameterization of backend code emitters to allow code emission to allotted class types, JITCodeEmitter and ObjectCodeEmitter.

###Dear R users ###I have been using SensoMineR package from CRAN for most of my work in sensory data analysis and from my usage experience, I encountered some areas for improvement and considered ###modifying the function in SensoMineR package for my personal use. I felt that it could be useful to share this to the community for enabling adoption by other users where they might require a

I figured this out so I wanted to post a response to my own question. Thanks to Brian Ripley for his hint, which got me looking in the right direction. The plot I had seen before that I wanted was automatic output to the cor.plot command in the mvoutlier library. A similar tolerance ellipse can be obtained from the covPlot command in the robustbase library, using which="tolEllipsePlot"

Hi, I am using fanny and I have estrange results. I am wondering if someone out there can help me understand why this happens. First of all in most of my tries, it gives me a result in which each object has equal membership in all clusters. I have read that that means "the clustering is entirely fuzzy". Looking at the graphics it is really difficult to understand how objects with so

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):