similar to: UniCox in R

Hello, I have 12 sample each sample has got 1000 observation, i.e I have a matrix X with 1000 rows and 12 columns! m <- svm(t(X)) p <- predict (m) Can anyone tell me how to use svmtrain() in R! Many Yhanks, Samuel [[alternative HTML version deleted]]

Hello, I have got the following problem: > setwd("C:/temp") > library(xlsReadWrite) > MyData <- read.xls(file="Mappe1.xls", colNames = TRUE,dateTimeAs = "isodatetime") > attach(MyData) > MyData name value times 1 A1 2 2006-05-12 2 A2 3 2006-05-16 3 A3 1 2006-05-12 4 A4 4 2006-05-12 5 A5 2

Hello, if we suppose that times <- c("2006-05-14", "2006-06-12", "2006-06-12", "2006-05-14", "2006-05-14", "2006-06-12") value <- c(2,3,1,4,3,1) then with plot(times, value) we have two boxplots in one graph for 2006-05-14 and 2006-06-12 respectively! Is it possible to have them in a scatterplot? and

Hello, I am trying to read the SAS file MyData.sa7bdat in R! This file is saved under D:\data! I therefore wrote > path <-"D:/SasData" > sashome <- "C/Progra, Files/SAS Institute/9_1/SAS" > sascmd <- file.path(sashome, "sas.exe") > MyData <- read.ssd(path, "MyData", sascmd=sascmd) The results what I get:

Does anyone know of an R interface to Christian Borgelt's implementation of the FP growth algorithm? thanks a lot Rob Tibshirani -- I get so much email that I might not reply to an incoming email, just because it got lost. So don't hesitate to email me again. The probability of a reply should increase. Prof. Robert Tibshirani ?Depts of Health Research and Policy, and Statistics

Hi, I have the following data data1 <- data.frame(count = c(0,1,1,2,4,5,13,16,14), weeks = 1:9,                     treat=c(rep("1mg",3),rep("5mg",3),rep("10mg",3))) and I am using library(splines) to fit glm.m <- glm(count~bs(weeks)+as.factor(treat),family=poisson,data=data1) and I am interested in predicting the count variale for the weeks 10, 11 and

Hello, suppose one has the following values x1 <- rnorm(10,5,1) x2 <- rgamma(10,5,1) y <- rnorm(10,4,1) mydat <- data.frame(y,x1,x2) then one can use glm like mod <- glm(y~x1+x2, data=mydat, family=gaussian) But how could I estimate y_hat? Thanks alot! Sam --------------------------------- [[alternative HTML version deleted]]

We have posted a major new version 2.0 of the samr package for large scale significance testing, especially for gene expression data. This new version handles RNA-seq data, using the new method described in http://www-stat.stanford.edu/~tibs/ftp/Li_Tibs.pdf We have also added simple interface functions SAM and SAMseq. Comments (and bug reports) welcome! -- I get so much email that I might

Hello, I have got the following problem: > times <- c("02.07.2007", "03.07.2007","03.09.2007", "04.07.2007","05.07.2007") > mode(times) [1] "numeric" > tim <- as.character(times) > mode(tim) [1] "character" > sort(times) [1] "02.07.2007" "03.07.2007" "03.09.2007"

We have submitted glmnet_1.6 to CRAN This version has an improved convergence criterion, and it also uses a variable screening algorithm that dramatically reduces the time to convergence (while still producing the exact solutions). The speedups in some cases are by a factors of 20 to 50, depending on the particular problem and loss function. See our paper

We have submitted glmnet_1.6 to CRAN This version has an improved convergence criterion, and it also uses a variable screening algorithm that dramatically reduces the time to convergence (while still producing the exact solutions). The speedups in some cases are by a factors of 20 to 50, depending on the particular problem and loss function. See our paper

Hello, Is there is any R function computes the AUC for paired data? Many thanks, Samuel [[alternative HTML version deleted]]

i am getting closer!! now when i run the program (as root), wine --debugmsg +file,+dosfs tc2000.exe i get a messagebox: 'Files were missing that are required for TeleChart 2000. Telechart 2000 will attempt to restore your system.' it then bombs-out: Run-time error '429': ActiveX component can't create object' the only modification to config was i added

Le mardi 31 mars 2020 ? 10:14 +1300, Paul Murrell a ?crit : > Hi > > On 30/03/20 11:12 pm, Nicolas Mailhot wrote: > > Le lundi 30 mars 2020 ? 15:24 +1300, Paul Murrell a ?crit : > > > Hi > > > > > > I have created an R branch that contains a potential fix ... > > > > > > https://svn.r-project.org/R/branches/R-symfam/ > > >

This update adds an intercept option (by popular request) - now one can fit a model without an intercept Glmnet is a package that fits the regularization path for a number of generalized linear models, with with "elastic net" regularization (tunable mixture of L1 and L2 penalties). Glmnet uses pathwise coordinate descent, and is very fast. The current list of models covered are:

This update adds an intercept option (by popular request) - now one can fit a model without an intercept Glmnet is a package that fits the regularization path for a number of generalized linear models, with with "elastic net" regularization (tunable mixture of L1 and L2 penalties). Glmnet uses pathwise coordinate descent, and is very fast. The current list of models covered are:

Hello,   Could you please help me in the following question: I have 16 persons 6 take 0.5 mg, 6 take 0.75 mg and 4 take placebo! Can I use the ANCOVA and t-test in this case? Is it possible in R?   Thank you in advance, Samuel [[alternative HTML version deleted]]

Hello, Is there any R function which does power calculation for unbalanced groups (n1 neq n2)? Since power.t.test has n Number of observations (per group). Many thanks, Samuel [[alternative HTML version deleted]]

Dear all, I am using glm with quasibinomial. What does the following error message mean: Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1 Does it mean that the predictor variable should only have zero and one or it is also possible to have continuous values between zero and one? Many thanks, Samuel [[alternative HTML version deleted]]

Hello, I have the fellowing problem and I am thankful for any advice! Regards, Samuel ################################################################ >   source("http://bioconductor.org/biocLite.R") BioC_mirror = http://www.bioconductor.org Change using chooseBioCmirror(). >     biocLite("SSPA") Using R version 2.11.0, biocinstall version 2.6.7. Installing