similar to: question about getting things out of an lapply

Dear R-help subscribers; I have a question regarding making gradients in R. I've searched on the web, but was only able to find functions that make a gradient between color X and Y, which is not what I want. I want to 'pick out' individual, smaller pieces of a gradient based on a range of numbers. Say that I have a range of numbers, leading from 0 to 1. Then I want 0 to refer to

Dear people from the R help list, I have a question that I can't get my head around to start answering, that is why I am writing to the list. I have data in a format like this (tabs might look weird): John A1 1 0 1 John A2 1 1 1 John A3 1 0 0 Mary A1 1 0 1 Mary A2 0 0 1 Mary A3 1 1 0 Peter A1 1

Hi all, First off, thank you for the overwhelming response last time. I'm still trying to figure out the syntax of R to plot some distributions of some frequencies. I've managed to plot histograms from the data, but I would like to clean it up using xyplot from library(lattice). Unfortunately I cannot find a solution to my problem. Given a dataframe "all2", with numerical

Hello, R-users,   I have a datafile with 37313 records and each record has 5 different measurements on the same variables. The format looks like this: treeID, VIG0, VIG1, VIG2, VIG3, VIG4 I was trying to convert the one row record to 5 rows record with format like this (treeID, MEASUREMENT, VIGOR). My code like this:   treeMeas<-matrix(data=0,nrow=(length(tree1$indivTree)*5), ncol=3)

Hi all, Consider the following. a<-list(c("MHsub","MHsub","SFD","Duplex")) b<-list(c("MHsub","MHsub","SFD")) c<-list(c("MHpark","SFD","SFD")) d<-list(c("MultiFam","MultiFam","MultiFam","Duplex")) all<-list(a,b,c,d)

Dear all, i need some help with plotting. the specific problem is the following: #FYI a=100 b=95 d=94.5 e=70 all=c(a,b) all2=c(d,e) plot(all,type="b",col="blue",xlim=c(1,4),ylim=c(20,150)) lines(all2,type="o",col="yellow") this does work so far, but ... i´d like to have 4 intersects, just named by characters.. no scale please. the second problem is,

Hello R-users, I apologize for my question but I'm a newbie. I want to read a file which columns separator is "\t". At the end of each row there is a "\n" to go to the following line. The three first lines are remarks lines and the fourth contains columns titles ( variables names, ids, dates, calculated values, observed values...) . I do: read.table("myFile",

Hi, I am somewhat new to R so this question may be foolish, but is it possible to add decision trees into a list, array or vector in R? I am trying to build a collection (ensemble) of decision trees. Every time a new instance arrive I need to get the prediction of each decision tree. I have tried to add a decision tree into a variable but without luck. Is a special package needed perhaps? This

Hello Folks, I have 5 columns for thousands of tree records that record whether that tree was alive or dead. I want to recode the columns such that the cell reads "found" when a live tree is first observed, "alive" for when a tree is found alive and is not just found, and "mort" when it was previously alive but is now dead. Given the following: > tree_live

So I have 2 sets of data - a training data set and a test data set. I've been doing the analysis on the training data set and then using predict and feeding the test data through that. There are 114 rows in the training data and 117 in the test data and 1024 columns in both. It's actually the same set of data split into two. The rows are made of 5 different numbers. They do represent

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

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hello, I am using R1.2.2 on win98 with 64 meg of RAM I try to read a big csv file and get the error : a <- read.csv("c:/all2.csv",header=T) Error: vector memory exhausted (limit reached?) In addition: Warning message: Reached total allocation of 16Mb: see help(memory.size) Lost warning messages from there on, nothing works File-Exit, ^F4, q() , top right cross, the same message

Hi, have anybody positive experience how it is possible get the post output from a rpart-object in a large sweave file or is only the less nicely plot function instead of post possible??? \begin{figure}[htbp] \begin{center} <<fig=true,eps=T>>= post(dtreeEB, title="Tree",digits=getOption("digits") - 0,use.n=TRUE) @ \caption{Tree1} \end{center}

If visit_guest() fails, then it returns a null pointer; later on, free_tree() is called unconditionally on the variables, thus dereferencing null pointers. Thus guard the free_tree() invocations. --- diff/diff.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/diff/diff.c b/diff/diff.c index 5851a1c9c..1f1ab6933 100644 --- a/diff/diff.c +++ b/diff/diff.c @@ -389,8

Hi, I need to find the z-score of the data present in a speardsheet. The values needs to be calculated for each gene across the samples (refer the example). And, it should be a simple thing, but I am unable to do it right now ! The example re the structure of the spreadsheet is - # Example: MyFile <- read.csv( text= "Names,'Sample_1','Sample_2','Sample_3'

Hi all, When I try to make a connection to our windows server with smbclient: smbclient //server/dira/dirb/dirc -U username -W workgroup Password: ***** I get a working ftp-like connection to our data. When I try to make the same connection with mount.cifs: mount.cifs //server/dira/dirb/dirc /mnt/mnt_dir -o user=877790 dom=workgroup Password: ***** I get a mount to a location which appears

Dear, I am using the solnp command (package Rsolnp) for a problem with equality and inequality constraints. I am not getting convergence for my problem but apart that I get 1 warning per iteration saying: ?In cbind(temp, funv) : number of rows of result is not a multiple of vector length (arg 1)?. I checked for equality and inequality functions and they seem fine to me. Where this

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

Hi All, There is something I don't quite understand about R memory management. I have the following function function (AdGroupId) { print(memory.size()) channel <- odbcConnect("RDsn", uid = "xxxx", case = "tolower", pwd = "xxxxxx") Tree1 <- sqlQuery(channel, "exec SelectAdgroups 111120,0", as.is = c(FALSE, FALSE,