Dear Xavier,
Perhaps, you should read the faq:
http://cran.r-project.org/doc/FAQ/R-FAQ.html
And also "un livre en français sur R* : R pour les débutants *par Emmanuel
Paradis ou *Introduction à R par *Julien Barnier"
> install.packages("RODBC")
Un dernier petit mot : Méfiez vous! La patience des
Hi everybody
When I try example of strptime
x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960")
z <- strptime(x, "%d%b%Y")
The result is;
> z
[1] NA NA NA NA
I have got the same result with complete form of month but not with numeric
form.
Any idea?
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2 RC (2009-08-23 r49375)
> i386-pc-mingw32
>
> locale:
> LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
> States.1252;LC_MONETARY=English_United
> States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252
>
> attached base packages:
> [1] stats graphics
OLLATE=English_United States.1252;LC_CTYPE=English_United
> States.1252;LC_MONETARY=English_United
> States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> HTH,
> Jorge
&g
I am on Ubuntu Karmic.
2009/10/26 Peter Dalgaard
> guillaume chaumet wrote:
>
>> Thank you for your quick response
>>
>>
>> sessionInfo()
>>>
>> R version 2.9.2 (2009-08-24)
>> x86_64-pc-linux-gnu
>>
>> locale:
>>
>> L
Dear R list,
I have a population with two groups. I want to simulate an gradually
increase of the number of subjects for group 1 based on mean and sd of two
variables (correlated).
Bootstrap ?
Sample ?
Simulation ? (
I just search some clues.
Thank you
Guillaume
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,mean(y),sd(y)))
simu[[i]]$x<-x
simu[[i]]$y<-y
}
return(simu)
}
test=simu(x,y,60)
lapply(test, function(x) cor.test(x$x,x$y))
As you could see, the correlation is disappearing with increasing N.
Perhaps, a bootstrap with lm or cor.test could solve my problem.
Hi R users,
I would known if any attempt of building psychological experimental paradigm
with R as "Brainard/Pelli Psych Toolbox" on Matlab or e-prime was done.
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https://st
Hi R people,
In lme package, I'm searching to find equivalent formula of:
>aov(frt~consistency*length*context+Error(subject/(consistency*length*context),data=agE1B4)
I try this :
>lme(fixed=frt~consistency*length*context, random=~1|subject, data=agE1B4)
but I did not obtain same F value with anova
Hi R people,
I'm trying to do a Anova with 3 different tests (intra subject), 6 times of
measures (intra subject) and 3 groups (inter subject). I want to obtain an
Huynh-Feldt epsilon on accuracy with >anova(lm(acc.t1~gr.dem),test="Spherical")
for test 1 # gr.dem is my group variable
>anova(lm(acc.
Dear R people,
I'm new user of R and I'm trying to do a Anova with 3 different tests (intra
subject), 6 times of measures (intra subject) and 3 groups (inter subject).
I want to obtain an Huynh-Feldt epsilon on accuracy with:
>anova(lm(acc.t1~gr.dem),test="Spherical") for test 1 # gr.dem is my grou
Hi R people,
I'm a R newbie and I'm trying to put main title, x title and y title in my
graph with no success.
Any idea?
I'm sorry for this newbie question..
Guillaume
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ht
th in what statistics say until you have carefully
> considered what they do not say. ~William W. Watt
> A statistical analysis, properly conducted, is a delicate dissection of
> uncertainties, a surgery of suppositions. ~M.J.Moroney
>
> -----Oorspronkelijk bericht-
> Van: [EM
Thierry and Ingo,
Thanks for these smart responses. It works fine.
Guillaume
2008/3/5, Ingo Michaelis <[EMAIL PROTECTED]>:
>
>
>
> ONKELINX, Thierry inbo.be> writes:
>
> >
> > Guillaume,
> >
> > You'll have to add the appropriate scales.
> >
> > ggplot(data, aes(x,y,fill)) + geom_point() + scal
Dear R list,
again a newbie question here, so I wish I do not exasperated reader.
This is example of my data.frame
subject length consistency context acc frt
1 1200high scene_c 0.8181818 396.6642
2 2200high scene_c 1.000 595.7778
3
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