similar to: Interpreting the results of Friedman test

Hi everyone, I need to get a between-component variance (e.g. random effects Anova), but using lmer I don't get the same results (variance component) than using random effects Anova. I am using a database of students, clustered on schools (there is not the same number of students by school). According to the ICC1 command, the interclass correlation is .44 > ICC1(anova1) [1] 0.4414491

dear kind helper, i would like to know how to find the annual maximun for a table that basicly looks like this: date time measurement1 measurement2 measurement3 mm/dd/yyyy hh:mm:ss m1 m2 m3 there are about 9000 measurements for each year, which makes it quite large... i already tried to subset all rows for a year, to find the maximum within these choosen rows, y <-

dear r-helpers i've got a table that in extracts looks like this: V1 V2 V3 V4 V5 1 01/01/1975 00:00:00 125.837 3.691 296.618 2 01/01/1975 01:00:00 124.799 3.679 281.307 3 01/01/1975 02:00:00 111.607 3.536 281.307 4 02/24/1976 11:00:00 21.602 2.555 93.893 5 02/24/1976 12:00:00 27.804 2.623 93.893 6 02/24/1976 13:00:00 26.105 2.604 114.716 7 10/18/1977

Dear R community, I'm currently using R to analyze functional Magnetic Resonance Imaging data. Each analysis involves running ~120,000 repeated-measures ANOVAs. I would like to know if there is any automatic way to access the F- and P-value data that are associated with each of these 120,000 ANOVAs. For example, if the summary output (for the 1st ANOVA of 120,000) shows the following value

Greetings, I am interested in creating a stepwise fixed order regression function. There's a function for this already called add1( ). The F statistics are calculated using type 2 anova (the SS and the F changes don't match SPSS's). You can see my use of this at the very end of the email. What I want: a function to make an anova table with f changes and delt R^2. I ran into

I have Data like this: Tone OQtil4 OQ0 GOtil4 GO0 SKrhsJ SK0 RCrhsJ RC0 1 HsLG -9.1347877 -2.97 -7.409590 -6.40 9.389357 20.60 10.688854 24.40 2 HsLG -7.9270569 -2.03 -7.861541 -6.90 10.165324 26.40 10.640183 23.10 3 HsLG -7.0394106 -1.26 -7.509566 -6.53 12.033194 30.87 9.401959 20.37 4 HsLG -6.8625610 -1.03 -7.645118 -6.68 10.372605 24.22 9.378803 17.82 5

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,

Hola. Hay alguna función que haga un Friedman test (digamos 4 tratamientos o tiempos relacionados/dependientes) y que después haga una comparación de un tratamiento contra el resto, digamos el primero, como un contratase simple, o un Dunnett? o simplemente ¿como hago un Dunnett para unos tratamientos relacionados? -- Antonio M [[alternative HTML version deleted]]

Dear R-users, I would need to do a Friedman test with replicated samples, and Friedman.test(y...) currently works only for unreplicated designs. Is there a script or a function available? Thanks, Alessandro -- --

Hi, I would need to extend the Friedman test to a replicated design. Currently the function: friedman.test(y, ...) only works for unreplicated designs. I found in Conover 1999 "Practical Nonparamteric statistics" an extension of the formula to my case. Nevertheless, other sources, like Sheskin 2000 "Parametric and Nonparametric statistical Procedures" and Daniel 1990

My data looks like this: (treatments) T1 T2 T3 DK 8 5 3 JP 5 4 1 AS 9 7 4 MK 8 4 4 DK, JP, AS, and MK are 4 different people (blocks) I am using. This is my code

Hi I am looking to generate permutations for data tested using the friedman.test. Just read a paper by Joachim Rohmel, "The permutation distribution of the Friedman test" (Computational Statistics & Data Analysis 1997, 26: 83-99). He offers APL code for carrying out these procedures; wondering if anyone has recoded this program for R? Any direction/help on this would be very much

Dear all, I'm using friedman rank test in R. Need to know how to calculate rank sum in friedman test (R options to get rank sum in friedman test). Kindly help me. With regards jeevitesh

That worked perfectly! Thanks! ---------- Forwarded message ---------- From: Eli Friedman <eli.friedman at gmail.com> To: LLVM Developers Mailing List <llvmdev at cs.uiuc.edu> Date: Thu, 22 Jan 2009 18:52:22 -0800 Subject: Re: [LLVMdev] Problem invoking win32 api calls On Thu, Jan 22, 2009 at 6:43 PM, Vijay D <techvd at gmail.com> wrote: > Hi, > > I use the kaliedoscope

Dear all Is there any way of doing a Tukey HSD post-hoc test after a Kruskal- Wallis or Friedman rank sum test (in the ctest package)? Thanks in advance, Albertus Dr. Albertus J. Smit Department of Botany University of Cape Town Private Bag Rondebosch 7700 South Africa Tel. +27 21 689 3032

Hi, pchisq -> distribution function dchisq -> density function pval is the area under the curve, to calculte it you use distribution function which is the integral of density function. See: http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm http://mathworld.wolfram.com/DistributionFunction.html f(x) density function F(x) distribution function =Pr(X<x)= integral(f(x))

Hi there all, This is my first post to the list and I'll first say a few things: - R is great! - The archives of this list have helped me solve all of my problems/questions so far - I only know enough statistics "to be dangerous" I'm looking for a way to do post-hoc tests for the Friedman test. I have a dataset from a within-subjects design with 5 conditions where some of

Hello everyone, I have been trying to perform a Friedman test for a while with no success. I have tried the command: > friedman.test (y~A|B, data = mydata), but it doesn't work . I searched youtube for help, but still could not find much. Can anyone help me with that! Thank you very much, Pedro [[alternative HTML version deleted]]

There are two misspellings in the german Error message for friedman test: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und blöcke müssen die sekbe Länge haben The correct spelling would be: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und *Blöcke* müssen die *selbe* Länge haben Instead of