Re: [R] Comparing two groups

glsnow wrote >>From your question it is not clear what your question/concerns really are, > and from what we can see it could very well be that you do not understand > the statistics that you are computing (not just the R implementation). We > ask for a reproducible example because that helps us t

Re: [R] Comparing two groups

>From your question it is not clear what your question/concerns really are, and from what we can see it could very well be that you do not understand the statistics that you are computing (not just the R implementation). We ask for a reproducible example because that helps us to help you, just a c

Re: [R] Comparing two groups

>So why not start with some statistical textbook? There are plenty of them available in CRAN. I wasn't implying, that I haven't read any textbook, or didn't do any research. I read some textbooks/Papers/etc. during the research about what to do and came across the wilcox test. I meant to imply th

Re: [R] Comparing two groups

Hi > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Andrej > Sent: Monday, October 14, 2013 9:49 AM > To: r-help@r-project.org > Subject: [R] Comparing two groups > > Hi, > this might sound trivi

[R] Comparing two groups

Hi, this might sound trivial, but I'm pretty new to R and statistics in general. What I want to do is to compare two data values. The hook is, that they are non-normally distributed and that one value is five times as big as the other. The box-plots look like this

Re: [R] Comparing two groups of proportions

kinds, to get four counts by condition. These events are probably independent within your setting. You should then be able to test various binomial or Poisson models with the proper equality constraints. HTH, Yvonnick Noel, PhD University of Brittany at Rennes France Re: [R] Comparing two groups

Re: [R] Comparing two groups of proportions

On 10/06/2008, at 6:08 PM, Ivan Adzhubey wrote: Hi Rolf, On Monday 09 June 2008 11:16:57 pm Rolf Turner wrote: Your approach tacitly assumes --- as did the poster's question --- that the probability of passing an item by one method is *independent* of whether it is passed by the other metho

Re: [R] Comparing two groups of proportions

12:09 AM > To: r-help@r-project.org > Subject: Re: [R] Comparing two groups of proportions > > Hi Rolf, > > On Monday 09 June 2008 11:16:57 pm Rolf Turner wrote: > > Your approach tacitly assumes --- as did the poster's question --- > > that the probability of pas

Re: [R] Comparing two groups of proportions

__________ > > From: [EMAIL PROTECTED] [EMAIL PROTECTED] > > On Behalf Of Ivan Adzhubey [EMAIL PROTECTED] > > Sent: Monday, June 09, 2008 4:28 PM > > To: r-help@r-project.org > > Subject: [R] Comparing two groups of proportions > > > > Hi

Re: [R] Comparing two groups of proportions

9:16 PM To: Greg Snow Cc: R-help forum Subject: Re: [R] Comparing two groups of proportions Your approach tacitly assumes --- as did the poster's question --- that the probability of passing an item by one method is *independent* of whether it is passed by the other method. Which makes t

Re: [R] Comparing two groups of proportions

On Behalf Of Ivan Adzhubey [EMAIL PROTECTED] Sent: Monday, June 09, 2008 4:28 PM To: r-help@r-project.org Subject: [R] Comparing two groups of proportions Hi, I have a seemingly common problem but I can't find a proper way to approach it. Let's say we have 5 samples (different size) of I

Re: [R] Comparing two groups of proportions

on lines), testing if that equals 0 should answer your question. Hope this helps, From: [EMAIL PROTECTED] [EMAIL PROTECTED] On Behalf Of Ivan Adzhubey [EMAIL PROTECTED] Sent: Monday, June 09, 2008 4:28 PM To: r-help@r-project.org Subject: [R] Comparing two

[R] Comparing two groups of proportions

Hi, I have a seemingly common problem but I can't find a proper way to approach it. Let's say we have 5 samples (different size) of IC circuits coming from 5 production lines (A, B, C, D, E). We apply two different non-destructive QA procedures to each sample, producing to sets of binary outcom