similar to: Multiple calls to a function

Hello all, I'm plotting several graphs with a for-loop with a code: par(mfrow=c(3,4)) for(i in levels(fHCGB$code)) with(subset(fHCGB,code==i), plot(pooledPlateIntra, type="b", ylim=ylim, xlab=code, ylab="CV%")) With which I have no problems.. However I need to add lines to all of these 12 plots, but I cannot get it to work. I've tried for example par(mfrow=c(3,4))

--=-hiYzUeWcRJ/+kx41aPIZ Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: 8bit Hi, on March 10 I filed a wishlist bug report asking for the inclusion of some changes to factanal() and the associated print method. The changes were originally proposed by John Fox in 2005; they make print.factanal() display factor correlations if factanal() is called with rotation =

Hi all, I have a total newbie question, but I could really use some help. I need to read in this file: SampleID Disease E-CBIL-28-raw-cel-1435145228.cel 1 E-CBIL-28-raw-cel-1435145451.cel 2 E-CBIL-28-raw-cel-1435145479.cel 2 E-CBIL-28-raw-cel-1435145132.cel 3 E-CBIL-28-raw-cel-1435145417.cel 3 E-CBIL-28-raw-cel-1435145301.cel 2 E-CBIL-28-raw-cel-1435145558.cel 1

Hi, On Asterisk 16.11.1 when enabling cel I get error with BRIDGE_START and BRIDGE_END events zone-s*CLI> module reload cel The module 'cel' reported a reload failure     -- Reloading module 'cel' (CEL Engine) [2020-07-10 17:57:01] ERROR[16163]: cel.c:428 ast_cel_str_to_event_type: Unknown event name 'BRIDGE_START' [2020-07-10 17:57:01] ERROR[16163]:

Hi, R 2.5.0 isn't auto-completing paths properly as it used to. E.g. suppose I have: > dir("CEL/choe") [1] "chipC-rep1.CEL" "chipC-rep2.CEL" "chipC-rep3.CEL" "chipS-rep1.CEL" [5] "chipS-rep2.CEL" "chipS-rep3.CEL" Now if I do: ReadAffy("CEL/choe/ch<tab> # => ReadAffy("CEL/choe/chip

Dear list, I have been searching for a week to fit a simple linear model to my data. I have looked into the previous posts but I haven't found anything relevant to my problem. I guess it is something simple...I just cannot see it. I have the following data frame, named "data", which is a subset of a microarray experiment. The columns are the samples and the rows are the probes. I

On Wed, Jul 22, 2020 at 12:44 PM Administrator <admin at tootai.net> wrote: > No one on this ? > > Le 10/07/2020 à 18:06, Administrator a écrit : > > Hi, > > > > On Asterisk 16.11.1 when enabling cel I get error with BRIDGE_START > > and BRIDGE_END events > > > > zone-s*CLI> module reload cel > > The module 'cel' reported a

Dear Help, After loading the pd.Citrus library and checking the DataFrame, I ran > the R code for: > > 1) 'oligo' > > > > {> library(pd.citrus) > Loading required package: RSQLite > Loading required package: DBI > > data(pmSequence) > > > show(pmSequence) > DataFrame with 341730 rows and 2 columns > fid sequence > <integer>

Hi, Is there any function to replace colProds that finds column-wise products of a matrix? Or is there any other function that would give a better solution this problem ? I have a matrix and an array, example: > a GSM1.CEL GSM2.CEL GSM1.CEL 10000_at 1 3 1 10001_at 3 3 3 > b 10000_at

Hi, I have built R (current development version) and BioConductor 1.7 with portland group compiler on a AMD Opteron. When I ran qc assessment on Affymetrix latin square data set, I got the following output, Loading required package: affy Loading required package: Biobase Loading required package: tools Welcome to Bioconductor Vignettes contain introductory material. To view,

I am experiencing data loss on a CIFS share with Samba 3.6.3. I am running Debian Sid on x86. I mount the share with the following line in my fstab: //server/share /mnt/share cifs auto,users,rw,gid=50,dir_mode=0775,file_mode=0777,domain=DOMAIN,credentials=/root/share.credentials The user in the credential file is in the proper domain. GID 50 is "staff", which my user is a member

I am trying to understand what is the difference between linear and polynomial kernel: linear: u'*v polynomial: (gamma*u'*v + coef0)^degree It would seem that polynomial kernel with gamma = 1; coef0 = 0 and degree = 1 should be identical to linear kernel, however it gives me significantly different results for very simple data set, with linear kernel

I'm having trouble setting up the function call to handle two lists of matrices. Each list has 6 matrices - Each matrix is 20x10. I need to do some basic math on corresponding matrices in each list. Here are some outputs of these lists, etc... # first list > length(qc.pm) [1] 6 > dim(qc.pm[[1]]) [1] 20 10 > qc.pm[[1]][1:4,1:4] 441-JP071707.CEL 442-JP071707.CEL

Hi, I am a Ph.D. student from Québec, Canada. I’m a beginner with R and Bioconductor. Until now the only experience I have is in analyzing microarray data using affy and limma packages. Now I am trying to analyze Rat Gene 10 st arrays and I would like to run RMA analysis and Smyth moderated t test on those arrays. Since no cdf official package is available for those arrays, after reading many

I'm using R 1.6.2 on a Windows 2000 machine. I've plotted the results of an MDS run labeled by a numerical ID, and color coded by a group code: plot(cv.mds.spr$points, type="n", main="Non-Metric Multidimensional Scaling of SprRun CV Watersheds") text(cv.mds.spr$points, labels = as.character(cv.wshed.id.spr), col = codes(cv.wshed.grp), cex=.75) Question is, how do I

Hi there, I am trying to use predict() with an object returned by cv.glmnet(), and get the following error: no applicable method for 'predict' applied to an object of class "cv.glmnet" What's wrong? my code: x=matrix(rnorm(100*20),100,20) y=rnorm(100) cv.fit=cv.glmnet(x,y) predict(cv.fit,newx=x[1:5,]) coef(cv.fit) Thanks so much, Asaf -- View this message in context:

Hi all , I have one query. i have list of some .cel files. in my program i have to mention the path of these .cel files part of my program is, rna.data<-exprs(justRMA(filenames=file.names, celfile.path=*datadir*, sampleNames=sample.names, phenoData=pheno.data, cdfname=cleancdfname(hg18_Affymetrix U133A))) in the place of "datadir" i have to mention the character string of the

On Wed, 21 Oct 2020 16:15:22 -0500 Ana Marija <sokovic.anamarija at gmail.com> wrote: > Hello, > > I have a data frame with one column: > > > remove > > V1 > > 1 ABAFT_g_4RWG569_BI_SNP_A10_35096 > 2 ABAFT_g_4RWG569_BI_SNP_B12_35130 > 3 ABAFT_g_4RWG569_BI_SNP_E09_35088 > 4 ABAFT_g_4RWG569_BI_SNP_E12_35136 > 5

Folks; I am having a problem with the cv.glm and would appreciate someone shedding some light here. It seems obvious but I cannot get it. I did read the manual, but I could not get more insight. This is a database containing 3363 records and I am trying a cross-validation to understand the process. When using the cv.glm, code below, I get mean of perr1 of 0.2336 and SD of 0.000139. When using a

Hi, I am pulling my hair out trying to work out how to put together what should be a simple app in rails. The app is to CV''s so I have a table of CV''s and each CV can have multiple skills. Skills are in a 2nd table below; CREATE TABLE cvs( id INT not null AUTO_INCREMENT PRIMARY KEY, first_name VARCHAR(30) not null, family_name VARCHAR(30) not null, email