Can I ask, when I run the below code:
library(qvalue)
pvals
<-c(0.01,0.02,0.03,0.10,0.67,0.08,0.55,0.10,0.81,0.08,0.94,0.10,0.81,0.08,0.72,0.10,0.22,0.08,0.72,0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.01,0.02,0.03,0.10,0.67,0.08,0.55,0.10,0.81,0.08,0.94,0.10,0.81,0.089,0.72,0.10,0.22,0.08,0.72,0.01,0
Dear all,
I am hoping to use the mt.maxT package, so I'm trying to understand how the
maxT algorithm works in the multtest package.
I have an example of data:
SNP1 p value= 0.02
SNP1 permutation p values = 0.03, 0.03, 0.03, 0.04, 0.04.
SNP2 p value =0.03
SNP2 permutation p values = 0.4,0.5,0
Hi all,
I want to associate mortality with ~100K SNPs, in 6,500 samples that are
divided up into 60 breeds.
So it's important to account for population stratification in my analysis.
I'm using egscore (the eigenstrat method) for the association (and I've
tried using the polygen and grammar packa
Having a problem with convert.snp.ped in GenABEL (on linux).
My map file looks like this (tab-separated) (called Genotype.map)
chrom name position
13 SNP1 39703523
My ped file looks like this (Called Genotype.ped)
PF1 PF1 0 0 2 -9 C C
PF2 PF2 0 0 2 -9 C A
PF3 PF3 0 0 1 -9 C C
PF4 PF4
model but not completely remove the row? This
is more what I was hoping someone would know if it's possible to
incorporate into the model I described above?
Thanks
On Fri, Dec 19, 2014 at 10:21 AM, Ted Harding
wrote:
>
> Hi Aoife,
> I think that if you simply replace each "*&q
Hi all,
I have a data set like this:
Test.cox file:
V1V2 V3 Survival Event
ann 13 WTHomo 41
ben 20 *51
tom 40 Variant 61
where "*" in
Hi all,
I have a data set like this:
Test.cox file:
V1V2 V3Survival Event
ann 13 WTHomo 41
ben 20 *51
tom 40 Variant 61
w
ctly? You probably
> need
>
> list.files(pattern = ".out")
>
> to get started. Then just wrap your script in a function and pass it
> to (s|l)apply something like:
>
> sapply(list.files(pattern = *.out"), function(x) wilcox.test ( ... ) )
>
> Michael
>
ke this shell script.
Any help appreciated :)
Aoife
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Hello
I have two lists of numbers, each list is ~800 numbers long. I want to know
if the two lists are significantly different from each other.
Could anyone suggest what library in R to use?
I think maybe the mann-whitney test, as it is not parametric, but i am
unsure if it is suitable as my list
lar columns and plot?
i was looking at this:
https://stat.ethz.ch/pipermail/r-help/2007-July/137638.html
but i can't seem to alter it to my needs
Thank you
Aoife
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ot;codon2",
"codon3")))
Library(ca)
plot(ca(table))
is there a way that i can see the "second principal axis" of this analysis?
Aoife
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Hey i have a similar size dataset and ran into the same problem, but i
found this command works fine:
options(max.print=100)
to fix it?
On Sat, Mar 10, 2012 at 4:35 PM, sybil kennelly wrote:
> Dear all.
>
> I wanted to read in a 20,000 row X 60 column matrix (called "table") into
> R.
>
>
ure to answer your question is like
> buying a new suit then having plastic surgery to make you fit the suit
> rather than having the tailor modify the suit to fit you.
>
> If you can give us more information about what your question is we
> have a better chance of actually helping y
Thank you. Can the chi-squared test compare two matrices that are not the
same size, eg if matrix 1 is a 2 X 4 table, and matrix 2 is a 3 X 5 matrix?
On Fri, Mar 9, 2012 at 4:37 PM, Greg Snow <538...@gmail.com> wrote:
> The chi-squared test is one option (and seems reasonable to me if it
> the t
Many thanks for reply.
I have trouble understanding how to use response, i am sorry.
My question is i have two matrices. I then plot two matrices. Then I have 2
seperate plots. I can color the nodes in the plots in two different colors.
Then, how do i merge the two plots to view one overlapping the
May I ask, is it possible using plotrix to shade a group of variables
differentially from the rest of a graph, eg so the output looks similar to
this, where the nodes of open circles are my nodes of interest:
http://r.789695.n4.nabble.com/file/n4459137/Screen_shot_2012-03-08_at_12.18.34.png
Man
May i please update my question, and I understand now something that i did
not yesterday.
In this example:
table <- structure(c(4, 7, 0.2, 3, .1, 7, 222, 3, 10, 5, 11,
8, 8, 10, 7), .Dim = c(5L, 3L), .Dimnames = list(c("gene1",
"gene2", "gene3", "gene4", "gene5"), c("codon1", "codon2",
Thank you. I really appreciate the help.
May i ask two questions.
In the example below:
table <- structure(c(4, 7, 0.2, 3, .1, 7, 222, 3, 10, 5, 11,
8, 8, 10, 7), .Dim = c(5L, 3L), .Dimnames = list(c("gene1",
"gene2", "gene3", "gene4", "gene5"), c("codon1", "codon2",
"codon3")))
Libr
e graph, and either highlight
them a different color, or draw a border/shade them in some way. basically
highlight them in any way?
is this any more helpful to explain what i mean?
Aoife
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Hey guys, Can anyone help?
I did a correspondance analysis and made a plot.
I also have a specific list of nodes that i want to find in my plot and want
to either color the nodes that appear in my list differently, or put some
kind of border around that group of nodes...
Would anyone know how t
ta ttc ttg ttt
NA NA NA NA
it's telling me that there are no codons. I'm not sure how to split up the
data or make this work at all.
Any help appreciated.
Aoife
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Sent from the
Thank you for the reply, my problem is that i don't understand the error that
plot(ca) is giving me:
> plot(ca)
Error in matrix(as.matrix(obj), nrow = I, ncol = J) :
non-numeric matrix extent
so just to put this in context: my workscreen looks like this:
> table
A B C
G1 1 34.0
analysis results into a graph? Basically i just want to
picture this correspondance analysis results graphically, using any method
:(
Aoife
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Sent from the R help mailing list archi
libname, pkgname) : error in rgl_init
and when you look in the library for rgl you get:
> library(rgl)
>
Would anyone know (in simple language, i'm a biologist, not a statistician
:( ) either how to fix this, or an alternative package that will do a simple
correpondance analysis on a
know if its not)
I want to plot these multivariate results on a graph.
i have read through various pdf's (e.g. using r for data analysis and
graphics and simple R) but i'm still stuck. Could anyone help explain the
commands needed to turn the above data into any sort of graphical form?
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