Displaying 20 results from an estimated 100 matches similar to: "How to test homogeneity of covariance matrices?"
2006 Sep 27
1
PDE
Dear all,
Does any know how to solve PDE with R? The archive list refers to the
use of ODE if PDE are parabolic. I am not a mathematician and this does
not mean anything for me!
help would be very appreciated.
Many thanks
--
___________________________________________________
Christophe NGUYEN
UMR 1220 INRA-ENITAB
Transfert sol-plante et cycle des ?l?ments min?raux
dans les ?cosyst?mes
2006 Oct 02
1
Problems with graphics
Dear all,
I am a SAS user, who's trying R. I am a little bit lost for graphics.
What is the simplest way for plotting y as a function of x with one
symbol (line or dot) for each level of a class variable z (for SAS
langage= plot x*y=z). Can I add vertical bars for standard deviation
stored in a separate variable (say ystd). Finally, is it possible to
do all this with xyplot function
2010 Jan 13
1
Problem fitting a non-linear regression model with nls
Hi,
I'm trying to make a regression of the form :
formula <- y ~ Asym_inf + Asym_sup * ( (1 / (1 + (n1 * (exp( (tmid1-x)
/ scal1) )^(1/n1) ) ) ) - (1 / (1 + (n2 * (exp( (tmid2-x) / scal2)
)^(1/n2) ) ) ) )
which is a sum of the generalized logistic model proposed by richards.
with data such as these:
x <- c(88,113,128,143,157,172,184,198,210,226,240,249,263,284,302,340)
y <-
2010 Feb 03
1
comparison of parameters for nonlinear regression
Hi,
I have two series of data set (it's measurment of growth but under two
different conditions).
To model these data I use the same function which is :
formula <- y ~ Asym_inf + Asym_sup * ( (1 / (1 + (n1 * (exp( (tmid1-x)
/ scal1) )^(1/n1) ) ) ) - (1 / (1 + (n2 * (exp( (tmid2-x) / scal2)
)^(1/n2) ) ) ) )
After the estimation of the parameters thanks to "nls", I have 2
2012 Jun 04
1
simulation of modified bartlett's test
Hi, I run this code to get the power of the test for modified bartlett's
test..but I'm not really sure that my coding is right..
#normal distribution unequal variance
asim<-5000
pv<-rep(NA,asim)
for(i in 1:asim)
{print(i)
set.seed(i)
n1<-20
n2<-20
n3<-20
mu<-0
sd1<-sqrt(25)
sd2<-sqrt(50)
sd3<-sqrt(100)
g1<-rnorm(n1,mu,sd1)
g2<-rnorm(n2,mu,sd2)
2009 Dec 08
0
Cochran C Test - Homogeneity of Variances
Hi List.
It may be a very simple question, but I couldn’t find an answer on the
internet. Which function (maybe in a specific package) would I use to
perform a Cochran C Test for Homogeneity of Variances?
Stats package have the mantelhaen.test, but I’m “almost sure” that It’s not
what I want, it’s probably the Cochran Q Test.
So, any ideas?
Thank you for the pacience.
2005 Jul 13
1
Boxcox transformation / homogeneity of variances
Dear r-helpers,
Prior to analysis of variance, I ran the Boxcox function (MASS library) to
find the best power transformation of my data. However, reading the Boxcox
help file, I cannot figure out if this function (through its associated
log-likelihood function) corrects for * normality only * or if it also
induces * homogeneity of variances *. I found in Biometry (Sokal and Rohlf,
p. 419)
2010 Mar 21
2
Levene's Test for Homogeneity of Variance
Hi, All!
To calculate Levene's Test for Homogeneity of Variance I use R Commander,
and this is the output:
> levene.test(Dataset$age, Dataset$sex)
Levene's Test for Homogeneity of Variance
Df F value Pr(>F)
group 1 0.8739 0.3567
33
I am not sure what means "Pr(>F)"? Can anyone explain/translate this?
Regards,
Iurie Malai
Department of Psychology and
2006 Aug 18
0
[Fwd: Trend test and test for homogeneity of odd-ratios]
I partly answered my question since independence_test() function in coin package apparently do
Cochran-Armitage trend test just like Eric Lecoutre's function tabletrend() - slightly modified here:
> independence_test(pheno ~ geno, data = dat2, teststat = "quad", scores = list(geno = c(0, 1, 2)))
Asymptotic General Independence Test
data: pheno by groups 1 < 2
2008 Aug 22
1
Test of Homogeneity of Variances
I am testing the homogeneity of variances via bartlett.test and fligner.test. Using the following example, how should I interpret the p-value in order to accept or reject the null hypothesis ?
set.seed(5)
x <- rnorm(20)
bartlett.test(x, rep(1:5, each=4))
Bartlett test of homogeneity of variances
data: x and rep(1:5, each = 4)
Bartlett's K-squared = 1.7709, df = 4, p-value =
2009 Nov 17
0
Marginal Homogeneity tests for sparse matrixes ?
Hello people,
I am in need for testing Marginal Homogeneity for sparse (more then 2X2)
matrixes.
After searching, what I found by now is that for more then 2 by 2 matrixes,
one turns to "stuart maxwell tests" that are available in two packages:
irr - see: stuart.maxwell.mh
coin - see: mh_test
But I couldn't find in the documentation how valid the results are for
sparse matrixes,
2002 Jan 10
0
An openssl shared library versioning problem (fwd)
Hi,
Below a message I had originally sent to openssl-bugs.
The version mismatch mentioned below was
OpenSSL 0x0090603f vs. OpenSSL 0x0090601f
Meanwhile Richard Levitte <levitte at stacken.kth.se> has sent me the
following:
>>>>>>>>> Begin excerpt from levitte (first msg.)
peb> If, on the other hand, the libraries from 0.9.6a and 0.9.6c are
peb> binary
2010 Jan 05
2
Checking for normality and homogeneity of variance
Dear all,
I'm a beginner of R and I need to carry out some three-way mixed ANOVAs.
Following examples at http://personality-project.org/r/r.anova.html, I
managed to get the ANOVA part, but I don't know how can I check data
normality and homogeneity of variance in R (since they're the required
assumptions of ANOVA analysis).
Are there any special command/packages? Could anyone give me
2003 Aug 13
4
Levene test of homogeneity of variance
Has the Levene test of homogeneity of variance been implemented in any
library in R?
Thanks,
Maurice Haynes
National Institute of Child Health and Human Development
Child and Family Research Section
6705 Rockledge Drive
Bethesda, MD 20892
Voice: 301-496-8180
Fax: 301-496-2766
E-Mail: mh192j at nih.gov
2004 Apr 13
2
Non-homogeneity of variance - decreasing variance
Hello all,
I'm running very simple regression but face a problem of non-homogeneity of
variance, but with a decreasing variance with increasing mean...I do not
know how to deal with that.
this relationship doesn't seem to be strong, but it's my first time to see
something like that, and would like to know what to do if one day it becomes
stronger. I tested just for fun some
2005 Oct 18
4
Efficient ways of finding functions and Breslow-Day test for homogeneity of the odds ratio
Dear all,
I have been trying to find a function to calculate the Breslow-Day test for
homogeneity of the odds ratio in R. I know the test can be preformed in SAS
but i was wondering if anyone could help me to perform this in r.
In addition i have the fullrefman file to search for functions in the basic
R packages, does anyone have any suggestions of an efficient way of
searching for
2008 Feb 14
5
Levene's test for homogeneity of variances (befor using ANOVA)
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2010 Sep 13
2
Homogeneity of regression slopes
Hello,
We've got a dataset with several variables, one of which we're using
to split the data into 3 smaller subsets. (as the variable takes 1 of
3 possible values).
There are several more variables too, many of which we're using to fit
regression models using lm. So I have 3 models fitted (one for each
subset of course), each having slope estimates for the predictor
variables.
2004 Dec 19
1
Homogeneity of variance tests between more than 2 samples (long)
Dear all
a couple of months ago i've found threads regard test that verify AnOVa
assumption on homogeneity of variances. Prof. Ripley advice LDA / QDA
procedures, many books (and many proprietary programs) advice Hartley's F_max,
Cochran's minimum/maximum variance ratio (only balanced experiments), K^2
Bartlett's test, Levene's test.
Morton B. Brown and Alan B. Forsythe in a
2003 Apr 02
0
ZHONE Fix !! (long)
Everyone - thought I would pass on a useful piece of information.
Finally got a solution to my phantom ringing problem.
Problem - the zhone is triggered into detecting ringing by the Automatic
Line Insulation Tests (ALIT or LIT) run nightly automatically by the telco.
Here it is twice between 8pm and 9pm on my particular lines.
My first approach before I knew specifically the buzzword for