similar to: extracting the levels of a subset of data

Dear list, I have two things I am struggling... # First set.seed(123) myD <- data.frame( Light = sample(LETTERS[1:2], 10, replace=T), Feed = sample(letters[1:5], 20, replace=T), value=rnorm(20) ) # Mean for Light myD$meanLight <- unlist( lapply( myD$Light, function(x) mean( myD$value[myD$Light == x]) ) ) # Mean for Feed

Hi, R is very new for me, so excuse if my questions are too basic... BTW, are there any forum where new R users could get help without annoying this huge mailing list ? In following code, I'd like to choose the color for each of the curve diplayed. png(filename = filename, width = 950, height = 600, pointsize = 10, bg = "white") xyplot(HITS+MS1*3+FREQ~TIME

Using: # rsync --version rsync version 3.0.7 protocol version 30 Copyright (C) 1996-2009 by Andrew Tridgell, Wayne Davison, and others. Web site: http://rsync.samba.org/ Capabilities: 64-bit files, 64-bit inums, 32-bit timestamps, 64-bit long ints, socketpairs, hardlinks, symlinks, IPv6, batchfiles, inplace, append, ACLs, xattrs, iconv, symtimes rsync comes with ABSOLUTELY NO

Hi all. I would like to highlight overlapping regions of two densities and I could not find a way to do it. Here is the sample code: myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5, 2, 3,3, 2.3, 3, 3, 2, 3) myd1 <- myd-2 plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y, density(myd1)$y), type = "n") lines(density(myd), col=1, lwd=4)

Hello everybody, Data is myd <- data.frame(id1=rep(c("a","b","c"),each=3),id2=rep(1:3,3),val=rnorm(9)) I want to get a cumulative sum over each of id1. trying aggregate does not work myd$pcum <- aggregate(myd[,c("val")],list(orig=myd$id1),cumsum) Please suggest a solution. In real the dataframe is huge so looping with for and subsetting is not a

Dear All, I have a database of 200 observations named myD. In the dataframe there are a column named code (with codes varying from 1 to 77), a column named "prevalence" with some quantitative measurements are given and an column named Pr_mean, with no values. I would like to set a cycle to compute the average of prevalence values for each different code and store the averages under the

Im just attempt writing a function which import manipulate and export spss data, my basic problem when i use the cat command that their is a space to much ? Perhaps here exist a better solution ? cat(paste(path),paste(file)) c:/Project/Allbus/ aprioriTotal.sav test <- function(dir) { for (i in 1:length(list.files)) path <- "c:/Project/Allbus/" file <- list.files()[4] tmpdata

Hi all, ok, i know i can cut a dendrogram, which i did. all i get is three objects that a dendrograms itself. for example: myd$upper, myd$lower[[1]], myd$lower[[2]] and so on. of course i can plot them seperately now. but the lower parts still have hundreds of branches. i?ll need a 30 " widescreen to watch the whole picture. what i?d like to is group the lower branches , so that i get a

On Friday 18 July 2003 12:28, r-help-request at stat.math.ethz.ch wrote: > Message: 9 > Date: Thu, 17 Jul 2003 13:50:29 +0200 > From: Marc Mamin <M.Mamin at intershop.de> > Subject: [R] line colors in lattice.xyplot with png device. > To: r-help at stat.math.ethz.ch > > Hi, > > R is very new for me, so excuse if my questions are too basic... > > ????????BTW,

Dear r-helpers! I have trouble reading data from an Oracle data base using RODBC Version 1.0-3, R Version 1.7.1, Windows XP, Oracle8 ODBC Driver Version 8.1.6.4.0: > library(RODBC) > channel <- odbcConnect(dsn="PAV32", case="oracle", believeNRows=FALSE) > # ok, this was succesful > x <- sqlTables(channel) > x[37, ] TABLE_CAT TABLE_SCHEM TABLE_NAME

Hi, I must be missing something here...Essentially, a short piece of code works if it's standalone, but doesn't work if it's divided into two functions. The code that works is: ################### WORKS ############### library(pamr) set.seed(120) x <- matrix(rnorm(1000*20),ncol=20) y <- sample(c(1:4),size=20,replace=TRUE) mydata <- list(x=x,y=y)

libswfdec-gtk/swfdec_gtk_widget.c | 4 +- libswfdec/jpeg/jpeg.c | 55 ++++++++++++++++++++++---------------- libswfdec/jpeg/jpeg_rgb_decoder.c | 1 libswfdec/swfdec_image.c | 46 +++++++------------------------ 4 files changed, 47 insertions(+), 59 deletions(-) New commits: diff-tree a171b4ba49fbd8fa8addb521184fc9b2cde60e50 (from

Hi Everyone, This example code results in R 'crashing'; that is the R application closes with no warnings or error messages. #----------------------- myD <- read.table(stdin(), header=TRUE, nrows=20) Broth Salt pH Temp N Y Growth 1 310 9.0 2.92 10 90.0 NA 0 2 615 6.0 7.82 30 1.0 2 1 3 217 2.0 7.34 10 7.0 8

At office, using the internal LAN at my disposal, I'm having a go at parallel computing - to begin with - with pvm, rpvm & snow. The two boxes are as follows Remote machine uffbsd: CPU: Intel(R) Pentium(R) 4 CPU 2.00GHz (1994.13-MHz 686-class CPU) Origin = "GenuineIntel" Id = 0xf24 Stepping = 4 real memory = 260046848 (248 MB) This machine NbBSD: CPU: Mobile Intel(R)

Hi, I am currently writing code to input a few thousand files, run them through the Random Forests package, and then output corresponding results. When I use the code below: zz<-textConnection("ex.lm.out", "w") sink(zz)

I am trying to run a partialPlot with Random Forest (as I have done many times before). First I run my forest... Cell is a 6 level factor that is the dependent variable - all other variables are predictors, most of these are factors as well. predCell<-randomForest(x=tempdata[-match("Cell",names(tempdata))],y=tempdata$Cell,importance=T) Then I try my partial plot to look at the

Following problem: Say you have a bunch of parameters and want to produce results for all combinations of those: height<-c("high","low") width<-c("slim","wide") then what i used to do was something like this: l<-list() for(h in height){ l[[h]]<-list() for(w in width){ l[[h]][[w]] <- doSomething() } } Now those parameters aren't

Dear all.... any one can help me??? I am aware of monitoring disk space using nagios (disk partitions with check_disk). Now, I have a situation that I would like to monitor size of an individual file through nagios. e.g /var/lib/mysql/somedatabase/vlog.myd, this file will grow very fast and i would like to monitor if the size of this file crosses 1.5 G. I'm already used 'check_file'

https://bugzilla.samba.org/show_bug.cgi?id=8712 Summary: --link-dest doesn't work if target file exists (but needs updating) Product: rsync Version: 3.0.7 Platform: All OS/Version: Linux Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at

Hello group, I'm having a very hard time rsyncing efficiently a MySQL database which contains very large binary blobs. (Actually, it's the database of Mantis bug tracker [http://www.mantisbt.org/], with file attachments stored directly in the table rows. I know it's a bad idea from many other reasons, but let's say it was given to me as such.) First, I was dumping the