Hi
naive question.
It is possible to get R command for omitting rows or cols with missing values
present.
But
if i want to omit rows or cols with i.e . >20% missing values, I
could´t find any package-based command, probably because it is too
simple for anyone to do that manually, though not fo
Hi,
eset is an expressionset based on hgu133plus2 platform.
Using hgu133plus2.db package, I want to map probes to UniGene cluster IDs.
It results in an error message.
>xx=hgu133plus2UNIGENE
>uniaf1=xx[[as.character(featureNames(eset))]]
Error in .checkKeys(value, Lkeys(x), x@ifnotfound) :
v
Hi,
I have two unequal patient groups belonging to different
geographic locations, treated by different drug regimens and their
survival data. N1=150 and N2=60
In each group of data there are
three strata for one independent variable- treatment status (2=two
drugs administered, 1=only one conv
Hi friends,
I have a matrix with following format.
group var1 var2 ...varN
c1 group1 1.2399 1.4990-1.4829
c2 group4 0.8989 0.7849.1.8933
...
...
c100 group10 .
I want to draw a profile plot
of each condition c1 to c100, which rows in above matrix and each line
represen
ta, grp)
long.dat=melt(sampledata[,1:5], idvars=as.character(rownames(sampledata)),
measure.vars=as.character(colnames(sampledata)[1:5]), variable_name="cols")
ggplot(long.dat, aes(x = cols, y = value)) +
+ geom_line(aes(colour = sampledata$grp)) +
+ facet_grid(~ rownames(sampledata
8/en_US.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
base
other attached packages:
[1] plyr_1.1 ggplot2_0.8.9 proto_0.3-8 reshape_0.8.3
loaded via a namespace (and not attached):
[1] tools_2.10.1
Any suggestions ?
Vickie S
---
Hi Dennis and all friends,
After upgrading to R 2.11.1, I managed to work this out perfectly. I also added
group information here, since I wanted to color code the profiles according to
the groups they were assigned to.
library("reshape")
library("ggplot2")
sampledata <- matrix(c(1.002, 1.76,
Hi friends,
I have got a list where each element might have variable number of members.
$`4213`
[1] "214077_x_at"
$`164832`
[1] "225996_at" "235977_at"
$`339010`
[1] NA
$`23410`
[1] "221562_s_at" "221913_at" "49327_at"
$`285386`
[1] "229764_at"
$`2099`
[1] "205225_at" "211233_x_at" "2
dta <- c()
for (i in 1:length(lst)) dta <- rbind(dta, as.matrix(lst[[i]]))
dta
Hope it helps. Cheers, Filipe
-Mensagem original-
De: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Em nome de Vickie S
Enviada em: quarta-feira, 20 de julho de 2011 18:04
Para: r-
option for this type of
filtering.
Are there any suggestions ?
Thanks
Vickie S
[[alternative HTML version deleted]]
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PLEASE d
t(prop, c(0.25, 0.75)) :
missing values and NaN's not allowed if 'na.rm' is FALSE
It seems like there is an inbuilt quantile normalization function. Though i
don't know how to debug this error.
I also like to receive any suggestion about interpretation of missing count
values in th
Dear R fans,
I have got a difficult sounding problem.
For fitting a linear model using continuous response and then for re-fitting
the model after excluding every single variable, the following functions can be
used.
library(MASS)
model = lm(perf ~ syct + mmin + mmax + cach + chmin + chmax, dat
ology
> McMaster University
> Hamilton, Ontario, Canada
> http://socserv.mcmaster.ca/jfox
>
>
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Vickie S
> > Sent: February-08-1
)
> > mod <- lm(cbind(A, B, C, D, E) ~ syct + mmin + mmax + cach + chmin +
> chmax, data=Data)
> > Anova(mod)
>
> Type II MANOVA Tests: Pillai test statistic
> Df test stat approx F num Df den Df Pr(>F)
> syct 1 0.41622 18.395 5 129 9.31e-14 ***
> m
Hi all,
I've got the following matrix :
mat <- matrix(rnorm(700), ncol=5, dimnames=list( paste("f", c(1:140), sep="_"),
c("A", "B", "C", "D", "E")))
I can see that currently most of the multivariate Hotelling T2 tests are
limited for application on two groups/samples.
I wud appreciate if so
ickie
> Subject: Re: [R] Hotelling T2 test extension for multigroup data
> From: pda...@gmail.com
> Date: Thu, 9 Feb 2012 14:08:22 +0100
> CC: r-help@r-project.org
> To: is...@live.com
>
>
> On Feb 9, 2012, at 12:11 , Vickie
't
> perform statistical tests. As Peter Dalgaard pointed out, the same confusion
> was reflected in your subsequent question about Hotelling's T^2. Hotelling
> T^2 is equivalent to MANOVA when there are two groups.
>
> Best,
> John
>
> On Thu, 9 Feb 2012 09:
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