1Rnwb wrote:
since the estimation is not done pairwise so i cannot use pairwise.t.test,
how do i apply tukeyHSD
Note correct capitalization: TukeyHSD and follow the examples on the
help page:
?TukeyHSD
You may also contact a statistics textbook. In addition I send you some
links off list.
since the estimation is not done pairwise so i cannot use pairwise.t.test,
how do i apply tukeyHSD
Thomas Petzoldt-4 wrote:
>
> 1Rnwb schrieb:
>> Thanks for the help, but ANOVA will give me a single pvalue, then how i
>> can
>> make sure which group is showing the significant differences.
>
> H
1Rnwb schrieb:
Thanks for the help, but ANOVA will give me a single pvalue, then how i can
make sure which group is showing the significant differences.
Hi,
ANOVA is fine and please have a look on ?TukeyHSD and don't forget to
consult your statistics textbook about post-hoc testing. If you in
Thanks for the help, but ANOVA will give me a single pvalue, then how i can
make sure which group is showing the significant differences.
Tal Galili wrote:
>
> Hello friend.
>
> I believe anova might be a better solution for you.
> You might have a look here:
> http://www.personality-project.or
p.s: since the "data" (Y variable) is very much not normal (also after a log
transform)I would consider going with an a-parametric test
check:
? wilcox.test
(for a non parametric t.test )
OR
(for a non parametric simple anova)
?kruskal.test
On Sat, Mar 7, 2009 at 11:51 PM, Tal Galili wrote:
>
Hello friend.
I believe anova might be a better solution for you.
You might have a look here:
http://www.personality-project.org/r/r.anova.html
A simple R session that will work for you is:
# getting the data in:
data1 <- read.table( "enter the path of the file here, look at ?read.table
for exa
Dear list,
i am a biologist who needs to do some ttest between disease and non disease,
sex, genotype and the serum levels of proteins on a large number of
individuals. i have been using excel for a long time but it is very tedious
and time consuming. i am posting the data below and ask your hel
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