similar to: convert the contents of a date.frame to a matrix

I am very new to R. I was trying to load some publicly available Expression data in to R. I used the following commands mydata<-read.table("dataALLAMLtrain.txt", header=TRUE, sep ="\t",row.names=NULL) It reads data without any error Now if I use edit(mydata) It shows only 3916 entries, whereas the actual file contains 7129 entries) My data is something like Gene Description

Thanks a lot, James!! The problem is fixed. On the version 1.4.0 Mac/darwin (the latest available version for this system) the function read.table (which is called from read.delim etc., too) has the bug you explained. Inserting the row nlines <- nlines+1 after lines <- c(lines, line) removes this bug. M. On Friday, February 22, 2002, at 02:33 PM, james.holtman at convergys.com

Hi, I use write.table() to write a file to an external xls file. the column names left-shift one position in output file. I check with col.names() row.names(), the file is fine. How to prevent the shifting? I71 I111 I304 I307 I305 I306 I114 I72 AFFX-BioB-5_at 6.66435 6.787807 5.335962 5.250163 6.47423 5.882104 5.965109 6.591687195 AFFX-BioB-M_at 6.163227 5.965427 4.665569 2.743531 6.097244

Dear all, i try to plot with ggplot2. Therefor I have an matrix with 3 colums. With cbind I add an additional column called "col". I need this column "col" because in a later step and want to specify here some plot details which I will get from another analysis If I want to plot with this code, I have the problem that the legend is wrong. Blue changed to green and green to

Hello, I am looking for an explanation and/or fix for a discrepancy in the behaviour of the R lm.influence() function [ version R 1.5.0 (2002-04-29) ] and the same function in Splus [ Splus version 5.1 release 1, running on SGI IRIX 6.2]. The discrepancy is of concern because I am migrating some Splus scripts to R and need to ensure consistency of results. Specifically, when I fit a glm()

Hello, I am trying to do an ANOVA on a microarray data set consisting of 22690 elements. The ANOVA is fine, but when I try to put the data in a frame in order to exporting it, I get a stack overflow. I have found documentation on dynamic memory in R, but not on how to increase the stack size. The code I'm using is below. If anyone has any suggestions for a workaround here, I'd

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Hello all, I am trying to perform ANOVA on my sample data given below to see if any gene(column 1 stands for gene names) is differentially expressed after subjecting it to the 6 different experiments(columns 2 to 7 are experiments). Gene 14A_U133A_Detection 14B_U133A_Signal 88A_U133A_Signal 88B_U133A_Signal 183A_U133A_Signal 183B_U133A_Signal AFFX-BioB-5_at 403 409.3 611.5

I have a data frame which has the following data. data<-read.table("table.txt",header=TRUE) data X14A_U133A_StatPairs X14A_U133A_Detection X14B_U133A_Signal 1 AFFX-BioB-5_at 403.0 409.3 2 AFFX-BioB-M_at 757.3 574.4 3 AFFX-BioB-3_at 284.4 327.3 4 AFFX-BioC-5_at

I think I posted this patch before, but it looks like it was in December 2012 (!). 1/1 libxl: introduce an option for disabling the non-O_DIRECT workaround Ideally it would go into 4.4, at least. Provided the corresponding qemu part has gone into qemu-xen, which I think it has. Can anyone confirm ?

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

Dear All, since years I am struggling with Surv objects in data.frames. The following seems to have to do with it. See below the modified example from the help page of survSplit. The original works, as expected. If, however, a Surv object is added to the data.frame, each record gets doubled. Is there some solution other than avoiding Surv objects in data.frames? Thanks, Heinz

Hi everybody, I have a problem when trying to do the quality control with the packages simpleaffy and affyQCReport with the drosophila chip 2.0 At first I got the messeage, that the *.qcdef file is not there. I followed the instructions in tha manual and created the file like that: array drosophila2cdf alpha1 0.05 alpha2 0.065 spk bioB AFFX-r2-Ec-bioB-3_at spk bioC AFFX-r2-Ec-bioC-3_at spk bioD

Hello: Using the built-in dataset aml as an example: data(aml) If I use instead dummy variables: aml$x1 = (aml$x=="maintained")aml$x2 = (aml$x=="unmaintained") and I want to plot the survival curve using x1, x2, and I just want the 2 levels, rather than 4 curves from: fit <- survfit(Surv(time, status) ~ x1+x2, data=aml) plot(fit) I guess because there are 2 levels

Hi there, I have a question about one command sentence when I follow the example in the book of "Survival analysis in S": > aml1<-aml[aml$group==1] but I got the error warning: NULL data frame with 23 rows Thus, I couldn't keep going on the next command: esf.fit<-survfit(Surv(aml1,status)~1). and also when I try > aml1<-aml[aml$group==1,]

Los datos no son de desgaste de cuchilla, sino de consumo de las mismas. Por ello tengo los datos de la siguiente forma: Unidades cambiadas Fecha En unidades cambiadas, suele ser una y en fecha el dia que se hizo el cmabio. Con eso no se muy bien como estructurar los datos para hacer el análisis. Gracias Jesús > Date: Mon, 7 Dec 2015 16:27:18 +0100 > From: griera en yandex.com

On Fri, Nov 22, 2019 at 12:30 PM Rafael J. Wysocki <rafael at kernel.org> wrote: > > On Fri, Nov 22, 2019 at 11:36 AM Mika Westerberg > <mika.westerberg at intel.com> wrote: > > > > On Thu, Nov 21, 2019 at 11:39:23PM +0100, Rafael J. Wysocki wrote: > > > On Thu, Nov 21, 2019 at 8:49 PM Mika Westerberg > > > <mika.westerberg at intel.com>

On Sun, May 29, 2016 at 05:50:06PM +0200, Lukas Wunner wrote: > Hi Peter, > > On Fri, May 27, 2016 at 03:07:33AM +0200, Peter Wu wrote: > > On Tue, May 24, 2016 at 06:03:27PM +0200, Lukas Wunner wrote: > > > nouveau_drm_load() calls pm_runtime_put() if nouveau_runtime_pm != 0, > > > but nouveau_drm_unload() calls pm_runtime_get_sync() unconditionally. > >

Dear mailing list, I tried to run the example for the conditional bootstap written in the help file of censboot. I got the following result: STRATIFIED CONDITIONAL BOOTSTRAP FOR CENSORED DATA Call: censboot(data = aml, statistic = aml.fun, R = 499, F.surv = aml.s1, G.surv = aml.s2, strata = aml$group, sim = "cond") Bootstrap Statistics : original bias std. error t1*