Dear Prof Kohl:
I am trying to install the "genefilter" package, but I got the following
error message(s). I am not sure which R version should be used for this
package.
*For R.3.5.2:*
> install.packages("genefilter")
Installing package into ‘C:/Users/aaboueissa/Documents/R/win-library/3.5’
(as ‘lib’ is unspecified)
Warning message:
package ‘genefilter’ is not available (for R version 3.5.2)
*For R.3.3.2:*
> install.packages("Bioconductor")
Installing package into ‘C:/Users/aaboueissa/Documents/R/win-library/3.3’
(as ‘lib’ is unspecified)
--- Please select a CRAN mirror for use in this session ---
Warning message:
package ‘Bioconductor’ is not available (for R version 3.3.2)
with many thanks
abou
______________________
*AbouEl-Makarim Aboueissa, PhD*
*Professor, Statistics and Data Science*
*Graduate Coordinator*
*Department of Mathematics and Statistics*
*University of Southern Maine*
On Sun, Feb 10, 2019 at 10:52 AM Prof. Dr. Matthias Kohl <
matthias.k...@stamats.de> wrote:
> Have a look at Bioconductor package genefilter, especially functions
> colttests and colFtests.
> Best Matthias
>
> Am 10.02.19 um 10:35 schrieb AbouEl-Makarim Aboueissa:
> > Dear All: good morning
> >
> >
> >
> >
> >
> > *Re:* How to rum Multiple ANOVA and Multiple T-test between the same
> groups.
> >
> >
> >
> > Your help will be highly appreciated.
> >
> >
> >
> >
> >
> > *1.* is there a way to run multiple t-tests on different variables
> between
> > the same two groups.
> >
> >
> >
> >
> >
> > *Data for t-tests:*
> >
> >
> >
> > The data frame “dataTtest” has 5 variables (x1,x2,x3,x4,x5) and one
> factor
> > (factor1) with 2 levels (group1, group2).
> >
> >
> >
> >
> >
> > x1<-rnorm(20,1,1)
> >
> > x2<-rnorm(20,2,1)
> >
> > x3<-rnorm(20,3,1)
> >
> > x4<-rnorm(20,4,1)
> >
> > x5<-rnorm(20,5,1)
> >
> > factor1<-rep(c("group1", "group2"), each = 10)
> >
> > dataTtest<-data.frame(x1,x2,x3,x4,x5,factor1)
> >
> > dataTtest
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > *2.* is there a way to run *multiple ANOVA* and multiple comparisons
> *Tukey
> > tests* on different variables between the same groups.
> >
> >
> >
> >
> >
> > *Data for ANOVA tests:*
> >
> >
> >
> > The data frame “dataANOVA” has 6 variables (x1,x2,x3,x4,x5,x6) and one
> > factor (factor2) with 5 levels (group1, group2, group3, group4, group5).
> >
> >
> >
> >
> >
> >
> >
> > x1<-rnorm(40,1,1)
> >
> > x2<-rnorm(40,2,1)
> >
> > x3<-rnorm(40,3,1)
> >
> > x4<-rnorm(40,4,1)
> >
> > x5<-rnorm(40,5,1)
> >
> > x6<-rnorm(40,6,1)
> >
> > factor2<-rep(c("group1", "group2", "group3", "group4", "group5"), each =
> 8)
> >
> > dataANOVA<-data.frame(x1,x2,x3,x4,x5,x6,factor2)
> >
> > dataANOVA
> >
> >
> >
> >
> >
> > with many thanks
> >
> > abou
> > ______________________
> >
> >
> > *AbouEl-Makarim Aboueissa, PhD*
> >
> > *Professor, Statistics and Data Science*
> > *Graduate Coordinator*
> >
> > *Department of Mathematics and Statistics*
> > *University of Southern Maine*
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> --
> Prof. Dr. Matthias Kohl
> www.stamats.de
>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
