similar to: matching vectors against vectors

Hi all, I need to enlarge te fonts used oo R-plots (plots, histograms, ...) in labels and titles etc. I seem to be unable to figure out how to do it. The problem is that the titles of the plots are simply unreadable when I insert them into my LaTeX text, since they are relatively small compared to the entire plot. I am sure it is pretty simple, can anybody give me a hint ? Please reply

Hi all, Never really managed to build a for-loop with multiple running variables in an elegant way. Can anybody hint ? See below for an example of what I would like. EXAMPLE a<-c(1,2,3) b<-c("name1","name2","name3") for( number in a, name in b ) { print( number ) ##take a value print( name ) ##and have its name available from a second list } Does R

Hi all, I'm fitting a linear model (using lm) to some 2500 data points. The model consists of 4 single terms and two combined terms. I get the following warning message: "Extra arguments projections are just disregarded. in: lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) " Can anybody clarify this ? I don't seem to find any pointer to what this might

Hi all, I am faced with the situation where I want to store/analyze relatively large, organized sets of numerical data, which depend on a number of conditions (biological properties, exposure times, concentrations etc etc). Imagine about a hundred dataframes of a few thousand numerical values, with some annotation in text for some entries. Intuitively, I would like to be able to slice

Dear all, I'm trying to find a clear explanation of what the 'proj(lm)' function produces after having fit a linear model using 'lm'. I find the help page on the proj() function highly unclear (surely part to my limited knowledge of statistics). Can anybody provide a pointer to a clearer explanation, preferable containing some examples of the calculations involved ?

Hi R Users, I do have very big data sets and wanted to run some of the analyses many times with randomization (1000 times). I have done the analysis using an example data but it need to be done with randomized data (1000 times). I am doing manually for 10000 times but taking so much time, I wonder whether it is possible to perform the analysis with creating a loop for many replicated datasets?

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

Hi all, I'm new to R, and have the following problem: I wish to draw a boxplot of simple data in two columns. The x-axis (taken from first column) is grouped to intervals (using 'cut'). These intervals serve as x-value to the boxplot, and the data from the second column are the y-values. The problem is that I want to give an impression of the trend of the data in the x-range.

Hi, Whats the easiest way to set a desired interval for tics on axes in R ? And will the 'grid' command put gridlines on all tics automatically ? I tend to get stuck with graphs with ranges 0-1 with only 2 tics and 2 gridlines in the 0-1 range, while I would like 10 tics (or every 0.1) tnx, Piet please reply to pvremortNOSPAM at vub.ac.be

Hello, Banging my head against a wall here ... can anyone light the way to a pattern modification that would make the following TRUE? identical( grep( "^Intensity\\s[^HL]", c("Intensity","Intensity L", "Intensity H", "Intensity Rep1")), as.integer(c(1,4))) Thank you for your time. Sincerely, Joh

I am trying to merge two data frames, but one of the column headings are different in the two frames. How can I rjoin or rbind the tho frames? Johnny # Generate 2 blocks by confounding on abc d1 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk",

Dear friends, I have a data set with 23 columns and 38000 rows. It is a panel running from the years 1991 through 2005. I want to aggregate the data and get the medians of each of the 23 columns for each of the years. In other words my output should be like this Year Median 1991 123 1992 145 1993 132 etc. The sample lines of code to do this operation is set1 <-

List, I want to reshape my data, but I'm not sure how to do it... it might be a simple task, but don't know which package does this. "occ.data" (see below) is how my original data are arranged, and I know that with melt() I can reshape it like "y" (see below). However, I just want to build a matrix like the "y" matrix, but with only 2 dimensions. Something

Hello R experts: When I tried to read my data into R, it does not take # sign A subset of Exp.txt is: Experiment name assay id Varname (A1)DBA TPA 6h/DBA Acetone rep1(A1) #3 4090 A90C1 (A2)DBA TPA 6h/DBA Acetone rep2(A2) #3 4091 A91C1 The command is: Exp <- read.delim2("Exp.txt",check.names=F,as.is=T) It is excuted but gave me all the NAs. Can you all drop me a hint? Thanks

R-users -- I would like to make a single vector out of something like the following: y0 <- rep(0,100) y1 <- rep(1,20) and stack them one on top of the other to a vector y with length 120. Thanks, Dan =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Dan Powers Associate Professor, Sociology University of Texas at Austin

Hi, I have sort of a newbie question. I've seriously put a lot of effort into how to handle simple replicates in a repeated ANOVA design, but haven't had much luck. I really liked reading "Notes on the use of R for psychology experiments and questionnaires", by Jonathan Baron and Yuelin Li ( http://www.psych.upenn.edu/~baron/rpsych/rpsych.html ) but still didn't run across

Hi, I'm generating the name of the variable with paste function and then using that variable name further to get the specific position value from the data.frame, here is the snippet from my code: modelResults <- extractModelParameters("C:/PilotStudy/Mplus_Input/Test", recursive=TRUE) #extractModelParameters reads all the output files from the Test folder and create the

Hi, I need to resample characters from a dataset that consists of an extremely long string that is written over hundreds of thousands of lines, each of length 50 characters. I am currently doing this by first inserting a space after each character in the dataset and then using the following commands: y <- as.matrix(read.table("data.txt"), stringsAsFactors=FALSE) bstrap <-

Hi, Suppose I use the following codes to read in a data set. ############################################### > rating <- scan("../Data/Rating.csv", + what = list( + usage = "", + mileage = 0, + sex = "", + excess = "", + ncd = "", +

Hi all, I have a rather peculiar dataset that I'm not sure how to model properly. This is data from an instrument that measures the size of particles but instead of giving a continuous value, it generates a "histogram" of the counts for a particular bin size. So the data looks like this: Condition 1 Condition 2 Dimension Rep1.A Rep1.B