similar to: About levene.test

Hi, What package(s) must I install so that I can apply the Levene' test in my data? I tried 'lawstat' but dependency ?VGAM? is not available for this package. I am using Rstudio Version 1.1.383 Tks [[alternative HTML version deleted]]

I am trying to use Levene's test (of package car), but I do not understand quite well how to use it. '?levene.test' does not unfortunately provide any example. My data are in a data frame and correspond to 1 factor plus response. Could someone please give me an example about how to use the command levene.test(y, group) Thanks in advance, marta -- View this message in

hello, I try to run simulation of levene's test to find the p-value but the error of replacement has length zero occur, could anyone help me to fix this problem? asim <- 1000 pv<-rep(NA,asim) for(i in 1:asim) {print(i) set.seed(i) g1 <- rnorm(20,0,2) g2 <- rnorm(20,0,2) g3 <- rnorm(20,0,2) x <- c(g1,g2,g3) group<-as.factor(c(rep(1,20),rep(2,20),rep(3,20))) library(Rcmdr)

Akhilesh, I don't know if I am adding signal or noise here, but I installed R 3.5.0 yesterday and installed data.table just fine, but I have Rtools installed. "Building packages from source" may sound intimidating, but Rtools is really easy to install and once installed, it does all the work for you. Thanks, Roger -----Original Message----- From: R-help [mailto:r-help-bounces

Dear Ashim, I?ll address your questions briefly but they?re really not appropriate for this list, which is for questions about using R, not general statistical questions. (1) The relevant distribution is within cells of the wool x tension cross-classification because it?s the deviations from the cell means that are supposed to be normally distributed with equal variance. In the warpbreaks data

Dear Akhilesh, I hope that it's clear that the Windows binary I provided for the data.table package is a temporary solution, and that the maintainer should fix the package so that it passes its own tests. You should be careful using the package in its current state. Best, John > -----Original Message----- > From: Akhilesh Singh [mailto:akhileshsingh.igkv at gmail.com] > Sent:

Hello, I notice that when I do Levene's test to test equality of variances across levels of a factor, I get different answers in R and SPSS 16. e.g.: For the chickwts data, in R, levene.test(weight, feed) gives F=0.7493, p=0.5896. SPSS 16 gives F=0.987, p=0.432 Why this difference? Which one should I believe? (I would like to believe R :) Ravi -- View this message in context:

Dear A.K. Singh, As you discovered, the data.table package has an error under R 3.5.0 that prevents CRAN from distributing a Windows binary for the package. The reason that you weren't able to install the package from source is apparently that you haven't installed the R package-building tools for Windows. See <https://cran.r-project.org/bin/windows/Rtools/>. Because a number of

Hi all, I know that I can run an one way ANOVA on the absolute residual values to check the assumption of equal variances: model<- lm(y~x) summary(lm(abs(model$resid~x))) What if I have two factors? As far as I know I have to check this assumption on very factor/level combination. So if I have 3 factors with three levels, I would have to test 9 factor/level combinations. Here comes my

Dear all, For my research I need to perform a Levene's test on my data.I have not large experience with this test and with R,so I have some problems to use the leveneTest function. I read some previous posts on this topic but I cannot understand what I have to do. I have a five-columns data frame organised in the following way: number of observation, number of subject, score, type of

Not happening on Mac, so likely a Windows build issue. (There's no 4.0.1 CRAN package yet, and no nightly build of 4.0.1 Patched, but the only thing changed in the sources since r78644 is the VERSION file.) -pd > On 7 Jun 2020, at 03:13 , Fox, John <jfox at mcmaster.ca> wrote: > > Hi, > > The following code, from the examples in ?TkWidgets , immediately crashes R

Hi All, is there Levene' test in R ? If not ,Could you give me some advice about Levene test with R? Thanks a lot! I am waiting for yours.

Dear Rodrigo, Try tkwm.geometry(win1, "-0+0"), which should position win1 at the top right. I hope this helps, John -- John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada web: https://socialsciences.mcmaster.ca/jfox/ On 2023-03-12 8:41 p.m., Rodrigo Badilla wrote: > Hi all, > I am using tcltk2 library to show buttons and messages. Everything > work

Dear Sir, Many thanks for your reply. I have a query. I have a whole set of distributions which should be made normal / homoscedastic. Take for instance the warpbreaks data set. We have the following boxplots for the warpbreaks dataset: a. boxplot(breaks ~ wool) b. boxplot(breaks ~ tension) c. boxplot(breaks ~ interaction(wool,tension)) d. boxplot(breaks ~ wool @ each level of tension) e.

On 26/04/2018 1:54 PM, Akhilesh Singh wrote: > My thanks to Dr. John Fox and Dr. Duncan Murdoch. But, I have upgraded > all my R-3.4.3 libraries to R-3.5.0, and I have not backed-up copies of > old version. So, I would give a try each to the solutions suggested by > John Fox and Dengan Murdoch. Here is some unsolicited advice: I would strongly recommend that you make it a higher

Hallo! I just started working with R to do the statistical analyses for my diploma thesis. I got two sets of data. Both contain repeated measures. One has only one within-subject factor with four levels. The other has one within-subject factor with two levels and one between-factor with two levels. I want to compute a Mauchly test for both sets and a Levene test for the second set. I

Dear vod vos, On 2020-10-04 6:47 p.m., vod vos via R-help wrote: > Hi, > > a <- c(1, 4) > b <- c(5, 8) > > a:b > > [1] 1 2 3 4 5 > Warning messages: > 1: In a:b : numerical expression has 2 elements: only the first used > 2: In a:b : numerical expression has 2 elements: only the first used > > how to get: > > c(1:5, 4:8) The simplest way is

Dear gavin, I think that it's likely that Jim meant the hetcor() function in the polycor package. Best, John -- John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada web: https://socialsciences.mcmaster.ca/jfox/ On 2023-02-21 5:42 p.m., gavin duley wrote: > Hi Jim, > > On Tue, 21 Feb 2023 at 22:17, Jim Lemon <drjimlemon at gmail.com> wrote: >>

Dear Faiz, Bootstrapping R^2 using Boot() is straightforward: Simply write a function that returns R^2, possibly in a vector with the regression coefficients, and use it as the f argument to Boot(). That will get you, e.g., bootstrapped confidence intervals for R^2. (Why you want that is another question.) See the example in ?Boot that shows how to bootstrap the estimated error variance (without

My thanks to Dr. John Fox and Dr. Duncan Murdoch. But, I have upgraded all my R-3.4.3 libraries to R-3.5.0, and I have not backed-up copies of old version. So, I would give a try each to the solutions suggested by John Fox and Dengan Murdoch. With regards, Dr. A.K. Singh On Thu 26 Apr, 2018, 9:44 PM Duncan Murdoch, <murdoch.duncan at gmail.com> wrote: > On 26/04/2018 10:33 AM, Fox,