search for: markomanka

Displaying 4 results from an estimated 4 matches for "markomanka".

2009 Sep 02
4
"biplot" graphical options?
...regards, Marco -- Marco Manca, MD University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) PO Box 616 6200 MD Maastricht E-mail: m.manca at path.unimaas.nl Office telephone: +31(0)433874633 Personal mobile: +31(0)626441205 Twitter: @markomanka ********************************************************************************************************************* This email and any files transmitted with it are confide...{{dropped:15}}
2009 Sep 03
0
R: "biplot" graphical options?
...regards, Marco -- Marco Manca, MD University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) PO Box 616 6200 MD Maastricht E-mail: m.manca at path.unimaas.nl Office telephone: +31(0)433874633 Personal mobile: +31(0)626441205 Twitter: @markomanka ********************************************************************************************************************* This email and any files transmitted with it are confidential and solely for the use of the intended recipient. It may contain material protected by privacy or attorney-client p...
2012 Nov 22
2
lapack routines cannot be loaded [Help request]
...CARIM) Mailing address: PO Box 616, 6200 MD Maastricht (The Netherlands) Visiting address: UNS40 West building - 5th floor Room5.544, Universiteit Singel 40, 6229 HX Maastricht E-mail: m.manca at maastrichtuniversity.nl Office telephone: +31(0)433884289 Personal mobile: +31(0)626441205 Twitter: @markomanka ********************************************************************************************************************* This email and any files transmitted with it are confidential and solely for the use of the intended recipient. It may contain material protected by privacy or doctor-patient/co...
2011 Feb 09
1
samr - extract genes from siggenes.table
Hi BioC user, I have a problem extracting the gene set I would like to work with. Here is I work with my data: normData <- read.delim("normalizedData.txt",sep ="\t") ######### two class unpaired comparison # y must take values 1,2 classes <- c(-1,-2,1,2) #prepere the data for the samr analysis data.x <-as.matrix(normData[,8:11]) d=list(x=data.x,y=classes,