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Dear R Users, I have created a 1500 x 20000 data frame - DataSeq. Each of the 1500 rows represents a data sequence. I have another data frame iData that stores the information of these 1500 data sequences in the same order, for example, condition, gender, etc. If I use "subset" to select certain groups within iData according to some criteria that I have set, e.g. condition, gender Then

Hello all, Probably my concepts about the data.frame and matrix and array in R are not clear, I need some clarification to help me understand them better. >M <- read.table("test1.csv",sep=",",row.names=NULL,header=T) gives me: M as M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 1 9 11 14 15 18 20 20 20 20 20 2 3 4 8 9 11 12 14 15 15 15 3 4 5 8 8 9 9 9 9 9 9 4 4

Dear R users, I have been using a dynamic data extraction from raw files strategy at the moment, but it takes a long long time. In order to save time, I am planning to generate a data set of size 1500 x 20000 with each data point a 9-digit decimal number, in order to save my time. I know R is limited to 2^31-1 and that my data set is not going to exceed this limit. But my laptop only has 2 Gb and

Dear R users, I have 1 data.frame of 1500x80 - data1. I found out that there are a few cells of data that I have misplace, and I need to fix the ordering of them. In an attempt trying to swap column 22 & 23 of the Subject with misplaced data, I did the following: > data2 <- data1 > subset(data1,(Subject==25 & Session==1))[,22] <- subset(data2,(Subject==25 &

Dear all, I'm a newbie in R. I have a 45x2x2x8 design. A dataframe stores the metadata of trials. And each trial has its own data file: I used "read.table" to import every trial into R as a dataframe (variable). Now I dynamically ask R to retrieve trials that fit certain selection criteria, so I use "subset", e.g. tmptrialinfo <- subset(trialinfo, (Subject==24 &

Dear R users, I have copied for following table from an article on "Using confidence intervals in within-subject designs": Subject 1sec 2sec 5sec 1 10 13 13 12.00 2 6 8 8 7.33 3 11 14 14 13.00 4 22 23 25 23.33 5 16 18 20 18.00 6 15 17 17 16.33 7 1 1 4 2.00 8 12 15 17 14.67 9 9 12 12 11.00 10 8 9 12 9.67 I rearranged the data this way:

Dear all R users, I am going to use R to process some of my physiological data about eye. The problem is the recording machine does not sample in a reliably constant rate: the time intervals between data sampled can vary from 9msec to ~120msec, while most around in the 15-30msec range. The below is a fraction of a single data file of a trial: Time CursorX CursorY Pupilsize 1811543 -1 -1 -1

Dear R Users, I was running some data analysis scripts and ran into this error: Error: cannot allocate vector of size 27.6 Mb Doing a "memory.size(max=TRUE)" will give me: [1] 1506.812 The current situation is: I'm working on a Windows Vista 32bit laptop with 4GB RAM (effectively 3GB I assume...) I have a data file of 450Mb loaded into R and have around 1500 data.frames floating

Hi Lisp users, I'm a user of both Common Lisp and R (GNU R). I found R has a rich collection of statistical and numerical computation functions, while it is not as extensible as Lisp (Common Lisp). I considered Lisp-Stat but its only implementation is not in the usuall Common Lisp, and the available functions in CRAN are far richer than Lisp-Stat currently has. I want to know if there is

Dear R Users, I have some dynamic selection rules that I want to pass around for my functions: >rules <- paste(g$TrialList==1 & g$Session==2) >myfunction <- function(rules) { > index <- which(rules) > anotherFunction(index) > } However, I can't find a way to pass around these selection rules easily (for subset, for which, etc) Please let me know if you have

Dear R Users, I've installed R with the chm option, but eventually I found I am more used to the normal way of latex help. Is there any argument to suppress chm help by default when starting R? So that I don't have to type something like >help(rle,chmhelp=NULL) I know the last resort would be to reinstall R. Thanks in advance! - J

Hello R users, I am relatively new to the R program, and I hope some of you can offer me some suggestions on how to organize my data in R using some of the more advanced data structuring technique. Here's my scenario: I have date set of 50 participants (each with conditions and demographic data), each participant performed 2x16 trials, for each trial, there was specific information about the

Dear R users, I'm trying to plot 45x8 graphs on the same pdf / device for the sake of visual comparison. par(mfcol=c(45,8)) par(mai=c(0,0,0,0)) In ?title, I can see there are cex and font settings: I set cex = 0.01 and font = 1: it is still very large, and then I tried setting font < 1, e.g. font = 0.5, Then I get an error: Error in title(paste(Ppercent, "% ",