Re: [R] Rsquared for anova

Omg Dieter, thanks so much... I just had to q() and R... that solved it :-) excellent! finally got the R2 :-) On 18 April 2011 15:12, Ben Bolker wrote: > Dorien Herremans ua.ac.be> writes: > >> >> Thanks Dieter, >> >> Even if I use lm(), I get the following output: >> >> > summary(fit) >>      

Re: [R] Rsquared for anova

Dorien Herremans ua.ac.be> writes: > > Thanks Dieter, > > Even if I use lm(), I get the following output: > > > summary(fit) >              Df  Sum Sq Mean Sq F value    Pr(>F) > nh1            1   324.0  323.99  139.13 < 2.2e-16 *** > nh2            1   723.1  723.12  310.53 < 2.2e-16 *** > n

Re: [R] Rsquared for anova

Dorien Herremans wrote: > > > Even if I use lm(), I get the following output: > >> summary(fit) > Df Sum Sq Mean Sq F valuePr(>F) > nh11 324.0 323.99 139.13 < 2.2e-16 *** > nh21 723.1 723.12 310.53 < 2.2e-16 *** > nh31 1794.2 1794.2

[R] Rsquared for anova

Thanks Dieter, Even if I use lm(), I get the following output: > summary(fit)              Df  Sum Sq Mean Sq F value    Pr(>F) nh1            1   324.0  323.99  139.13 < 2.2e-16 *** nh2            1   723.1  723.12  310.53 < 2.2e-16 *** nh3            1  1794.2 1794.21  770.49 < 2.2e-16 *** Resi

Re: [R] Rsquared for anova

Thanks everyone. Yes Peter, I already added nh1=factor(nh1) to the 'routine'. Mostly, my collegues are helping me work out the results and they know more about regression, it has been a while for me... They just asked if I could also provide an R2, to see how good the model fits... therefore the

Re: [R] Rsquared for anova

On 2011-04-17 02:34, Dorien Herremans wrote: Thanks for your remarks. I've been reading about R for the last two days, but I don't really get when I should use lm or aov. I don't think that reading about R is the answer at this stage. It appears to me that you need to learn more about regressio

Re: [R] Rsquared for anova

un, 17 Apr 2011 11:34:14 +0200 From: dorien.herrem...@ua.ac.be To: dieter.me...@menne-biomed.de CC: r-help@r-project.org Subject: Re: [R] Rsquared for anova Thanks for your remarks. I've been reading about R for the last two days, but I don't really get when I should use lm or aov.

Re: [R] Rsquared for anova

dorien wrote: > >> fit <- lm((tos~nh1*nh2*nh3*randsize*aweights*tt1*tt2*tt3*iters*length, > data=expdata)) > Error: unexpected ',' in "fit <- > lm((tos~nh1*nh2*nh3*randsize*aweights*tt1*tt2*tt3*iters*length," > > Peter's point is the important one: too many interactions, and even with + instea

Re: [R] Rsquared for anova

On 2011-04-15 14:36, Dorien Herremans wrote: Hi, Thank you for your suggestion. I am stil quite new to the syntax of R. I tried in a few ways but all produced errors: You might find working through "An Introduction to R" enlightening. It's certain to be a more efficient method than a guess-an

Re: [R] Rsquared for anova

Hi, Thank you for your suggestion. I am stil quite new to the syntax of R. I tried in a few ways but all produced errors: > fit <- lm((tos~nh1*nh2*nh3*randsize*aweights*tt1*tt2*tt3*iters*length, data=expdata)) Error: unexpected ',' in "fit <- lm((tos~nh1*nh2*nh3*randsize*aweights*tt1*tt2*tt3*ite

Re: [R] Rsquared for anova

dorien wrote: > > I calculate an anova test in the following way: > > ... aov example > > I want to check the fit of the model with Rsquared > Try summary(lm(...)) instead. Dieter -- View this message in context: http://r.789695.n4.nabble.com/Rsquared-for-anova-tp3452399p3452434.html Se

[R] Rsquared for anova

I calculate an anova test in the following way: expdata<-read.table("/home/dorien/UA/meta-music/optimuse/optimuse1-build-desktop/results/results_processedCP", header=TRUE) names(expdata)<-c('nh1','nh2','nh3','randsize','aweights','tt1','tt2','tt3','path','iters','type','length','tos','tws','time'