Re: [R] comparing two regression models with different dependent variable

a thorough understanding of the > underlying processes. Don't expect to get some magical > one-size-fits-all answer. > > Cheers > Joris > > On Thu, Jun 10, 2010 at 11:39 AM, Or Duek wrote: > > I'll try to add some more information regarding my experiment - may

Re: [R] comparing two regression models with different dependent variable

combe) > >> anova(fm0, fm1) > > Analysis of Variance Table > > > > Model 1: y1 - y2 ~ 1 > > Model 2: y1 - y2 ~ x3 + x4 > > Res.DfRSS Df Sum of Sq F Pr(>F) > > 1 10 20.637 > > 2 8 18.662 21.9751 0.4233 0.6687 > > > > so we ca

Re: [R] comparing two regression models with different dependent variable

Ok. Thank you very much for setting me straight :) On Wed, Jun 9, 2010 at 7:22 PM, Joris Meys wrote: > On Wed, Jun 9, 2010 at 5:19 PM, Or Duek wrote: > > Hi, > > I would like to compare to regression models - each model has a different > > dependent variable. > > Th

[R] comparing two regression models with different dependent variable

Hi, I would like to compare to regression models - each model has a different dependent variable. The first model uses a number that represents the learning curve for reward. The second model uses a number that represents the learning curve from punishment stimuli. The first model is significant an

Re: [R] simple main effect.

I am very new to R and thus find those examples a bit confusing although I believe the solution to my problems lies there. Lets take for example an experiment in which I had two between subject variables - Strain and treatment, and one within - exposure. all the variables had 2 levels each. I foun

Re: [R] plot is not keeping the order of variable

Thank you very much, You solved my problem. On Mon, Feb 22, 2010 at 12:42 AM, Peter Dalgaard wrote: > Or Duek wrote: > >> Ok, >> It seems that the problem lays in the order (as Ista mentioned), >> But, when I ask R to order it he chooses to order it by size and not by &g

Re: [R] plot is not keeping the order of variable

> Ista > > On Sun, Feb 21, 2010 at 10:57 AM, Or Duek wrote: > > Hi, > > I created a simple data frame with one factor and one numerical variable. > > The factor was actually a vector of names of techniques to trimm reaction > > time data. > > I want t

[R] plot is not keeping the order of variable

Hi, I created a simple data frame with one factor and one numerical variable. The factor was actually a vector of names of techniques to trimm reaction time data. I want to create a plot that shows the value of F test for every trimming method. So the data frame has its trim factor (who has those l

Re: [R] simple main effect.

2") > aov.model.drug.2 <- aov(dependent~(exposure*strain) + > Error(subject/exposure) + (strain), data=Data.drug2) > summary(aov.model.drug.2) > > Good luck! > > -Ista > > On Sun, Dec 20, 2009 at 11:35 AM, Or Duek wrote: > > For some reasion I wasn't a

Re: [R] simple main effect.

For some reasion I wasn't able to use TukeyHSD - I think because I need to set the different levels under a second variable. Tukey only helps me when I have more than 2 levels of same variable. Thanl you. On Sun, Dec 20, 2009 at 6:32 PM, S Devriese wrote: > On 12/20/2009 04:56 PM, Or Du

Re: [R] simple main effect.

.com/ (English) >> >> -- >> >> >> >> >> On Sun, Dec 20, 2009 at 4:30 PM, Or Duek wrote: >> >>> No problem. >>> If I have a mixed model

Re: [R] simple main effect.

.r-statistics.com/ (English) > > -- > > > > > On Sun, Dec 20, 2009 at 3:36 PM, Or Duek wrote: > >> >> I don't think so. >> I'm asking how can I see/analyse the simple main effect. I don't think it >> shows in the summary report

Re: [R] simple main effect.

t me: tal.gal...@gmail.com | 972-52-7275845 > Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | > www.r-statistics.com/ (English) > > ------ > > > > > On Sun, Dec 20, 2009 at 11:56 AM

Re: [R] simple main effect.

) | > www.r-statistics.com/ (English) > > -- > > > > > On Sat, Dec 19, 2009 at 7:27 PM, Or Duek wrote: > >> Hi, I'm a bit new to R and I would like to know how can I compare simple >> main effects when using the aov function. >> I'm doing a mixed model A

[R] simple main effect.

main effect of that interaction (A at B1 and A at B2 for example). The aov function is very simple but for some reason I can't find how to do this. Thank you very much. Or Duek. [[alternative HTML version deleted]] __ R-help@r-project.or

[R] using reshape to do ANOVA mixed models

Hi, I just started with R and I found that there are many options to rearrange the data to do mixed models. I want to use the reshape function. I have 2 between subject variables and one within. I was able to change the data structure but still - the result of the aov functions are calculating ever

[R] calculating Guttman's Scale

Does R has some option on calculating the Guttman's scale? thank you. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.or