> **Disclaimer: I have no idea what your data represents or how
(in)appropriate any of these tests may be**
R can do the tests you mentioned (and many more).
Wilcoxon test:
wilcox.test(x=group1, y=group2, paired=FALSE)
see ?wilcox.test
I am not sure whether it is still valid but in case o
Linda,
There are different views about whether someone doing statistical
analysis should first take a certain number of statistics course. I
think for your issue some background information would certainly help.
You have not correctly interpreted the paper. The main point is that
for most c
Hello,
I can't have different data these data came from mice that have lived under
certain condition in the lab! I have just read the mentioned publication
"Should the median test be retired from general use?" It says in the
conclusion "If one felt that the data could not come from a Cauchy or sla
On Fri, May 28, 2010 at 6:58 AM, linda Porz wrote:
> Hello,
>
> I can't have different data these data came from mice that have lived under
> certain condition in the lab! I have just read the mentioned publication
> "Should the median test be retired from general use?" It says in the
> conclusion
Please note that the median test is considered obsolete by many, because
of its very low power. See the reference below. -Frank
@Article{fri00sho,
author = {Freidlin, Boris and Gastwirth, Joseph L.},
title ={Should the median test be retired from general use?}
Hello Linda,
The "problem" is actually the median of your data. What the function
median.test() does first is combine both groups. Look at this:
median(c(group1, group2))
the median is 1, but the lowest value of the groups is also 1. So
when the function does the logical check z < m where z =
Hi all,
I have found the following function online
median.test<-function(y1,y2){
z<-c(y1,y2)
g <- rep(1:2, c(length(y1),length(y2)))
m<-median(z)
fisher.test(zhttp://www.mail-archive.com/r-help@r-project.org/msg95278.html
I have the following data
> group1 <- c(2, 2, 2, 1, 4, 3, 1, 1)
>
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