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 ***
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 1794.21 770.49
Dorien Herremans dorien.herremans at 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
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 bbol...@gmail.com wrote:
Dorien Herremans dorien.herremans at ua.ac.be writes:
Thanks Dieter,
Even if I use lm(), I get the following output:
-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.
I have attached the dataset, feel free to take a look at it.
So far, running it with alle the combinations did
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
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
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
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 +
instead of * you
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')
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
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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 -
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