Dear R-friends,
I would very much appreciate any direction you can give me regarding the
following:
I am trying to specify a model with three random effects (var1, var2 and
constant) in two levels (nested in pair):
lme(dependend ~ age + gender, random=list(pair = pdIdent(~var1 + var2 +1))
Dear Experts,
Probably trivial, but I am struggling to get what I want:
I need to know how the number of required trials to get a certain number of
successes.
By example:
How many trials do I need to have 98% probability of 50 successes, when the a
priory probability is 0.1 per trial.
The N
You may want to look at locator(1) for manual placements;
legend(locator(),...)
BW
Marco
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] namens [EMAIL PROTECTED]
Verzonden: di 8-7-2008 20:31
Aan: r-help@r-project.org
Onderwerp: [R] Automatic placement of Legends
Dear R-Us
Dear R-friends,
I am stuck making an LD plot of a small genotype set:
An exert of my data (genotypes)
>tempped.exert
V27/V28 V33/V34 V39/V40 V41/V42
1 B/B B/B A/A B/B
2 B/A B/B A/B B/B
3 B/B B/B A/A B/B
4 B/A B/A A/B B/A
5
Dear experts,
For the makeGenotype function I need a list as in the example. However,
since my list needs to be 184 long there must be an easy way to make it.
>list(1:2,3:4,5:6,7:8)
[[1]]
[1] 1 2
[[2]]
[1] 3 4
[[3]]
[1] 5 6
[[4]]
[1] 7 8
I have tried
lis<-1:184
dim(lis)=c(92,2,1)
as.li
Have a look at the Hmisc package
Kind regards,
Marco
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens John Fox
Verzonden: maandag 3 maart 2008 14:05
Aan: 'James Reilly'; 'ArunPrasad'
CC: r-help@r-project.org
Onderwerp: Re: [R] Imputation Packages
Dear J
Dear R-experts,
I have got a dataframe:
data
ID disease
V1 V2
1 p1 1
2 p1 3
3 p3 3
4 p3 5
5 p5 1
>From which I extract a usefull table: affect
affect
1 3 5
p1 1 1 0
p3 0 1 1
p5 1 0 0
I want to merge this with anotherdataframe:
age
p1 23
p2 24
p3 23
p4 11
p5 45
Dear R-experts,
My problem is how to handle a 10GB data file containing genotype data. The file
is in a particular format (Illumina final report) and needs to be altered and
merged with phenotype data for further analysis.
PERL seems to be an frequently used solution for this type of work, how
Try Heatmap.2 in the gplots package.
BW,
Marco
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Jim Lemon
Verzonden: donderdag 22 november 2007 11:21
Aan: affy snp
CC: r-help@r-project.org
Onderwerp: Re: [R] Heatmap problem
affy snp wrote:
> Hi friends,
9 matches
Mail list logo