Re: [R] Test for equivalence

2011-02-14 Thread syrvn
Hi! first of all. Thank you all very much for your input. I am sorry but I haven't had yet the time to reply to all of your messages. I will give you a more detailed description of my problem within the next 2 days! Many thanks again. Best, syrvn -- View this message in context: http://r.7896

Re: [R] Test for equivalence

2011-02-14 Thread Albyn Jones
al problem. > > -- > Gregory (Greg) L. Snow Ph.D. > Statistical Data Center > Intermountain Healthcare > greg.s...@imail.org > 801.408.8111 > > > > -Original Message- > > From: Albyn Jones [mailto:jo...@reed.edu] > > Sent: Sunday,

Re: [R] Test for equivalence

2011-02-14 Thread Greg Snow
gt; > 801.408.8111 > > > > > >> -Original Message- > >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > >> project.org] On Behalf Of syrvn > >> Sent: Saturday, February 12, 2011 7:30 AM > >> To: r-help@r-project.org > >&

Re: [R] Test for equivalence

2011-02-13 Thread Albyn Jones
. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of syrvn Sent: Saturday, February 12, 2011 7:30 AM To: r-help@r-project.org Subject: [R] Test

Re: [R] Test for equivalence

2011-02-13 Thread Mike Marchywka
> From: greg.s...@imail.org > To: ment...@gmx.net; r-help@r-project.org > Date: Sat, 12 Feb 2011 18:04:34 -0700 > Subject: Re: [R] Test for equivalence > > Does it make sense for you to combine the 2 data sets and do a 2-way anova > with treatment vs. control as one factor

Re: [R] Test for equivalence

2011-02-12 Thread Greg Snow
. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of syrvn > Sent: Saturday, February 12, 2011 7:30 AM > To: r-help@r-project.org >

[R] Test for equivalence

2011-02-12 Thread syrvn
Hi! is there a way in R to check whether the outcome of two different experiments is statistically distinguishable or indistinguishable? More preciously, I used the wilcoxon test to determine the differences between controls and treated subjects for two different experiments. Now I would like to