similar to: End of File for binary files

I want to read in a binary file using the readBin() function. In order to skip uninformative parts of the file I use the seek() function, I need to specify the number of bits to skip rather than the number of bytes to skip. E.g. seek(to.read,origin="current",blockSize) with blockSize giving the number of bits Does anybody know if this works? Any help would be highly

I have a long text file with uneven record length and variable structure. Therefore I have to read it line-by-line. I found out I can open a connection to the file and read in one line at a time. Something like: con <- file("MyFle.txt","r") while (End-Of-File) { line <- readLines(con,n=1) ParseLine(line) } But I realized I do not know how to test for the

I've got an error with the way I'm using readBin on a binary file of unknown internal structure. I know the structure consists of rows and columns, but I'm not sure how many of each. So, does anyone know of a valid test set of binary data that I could reference while trying to figure out the technique of using readBin? It would be really helpful to try out readBin on a readily

All, I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read: library(pls) data(yard) yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")

I have a plot of cumulative distribution function which is a step function, I'd like to put a cycle at the right end of each line to indicate that the value here is not available in this line. How can I do that? Thank you. cdf<-function(x){ do.call("rbind",lapply(1:nrow(as.matrix(x)), function(i){ a<-x[i] if (a<0.5){b=0.1} else if (a<1){b=0.3} else if

Hi, I just made a boxplot but I want to change the thickness of the line used for the median to look a little thinner. Could anyone please help me figuring out the R-code to do it? Thanks, I really appreciate it. Suyan

I am currently attempting to split a long list of strings (let's call it "string.list") that is of the format: "1234567.z3.abcdef-gh.12" I have gotten it to: "1234567" "z3" "abcdef-gh" "12" by use of the strsplit function. This leaves me with each element of "string.list" having a split string of the above format. What

Hi all, here is my situation In my experiment, I expose 10 subjects to 24 different conditions of stimuli. Each condition is exposed to the same subject 3x. This would make each subject have 24x3=72 data points. All the subjects combined would have 72x10=720 data points with each condition having 30 datapoints. To find the grand average of each condition, I find the average of all the

Hi All, I am interested in aggregating a data frame based on 2 categories--mean effect size (r) for each 'id's' 'mod1'. The 'with' function works well when aggregating on one category (e.g., based on 'id' below) but doesnt work if I try 2 categories. How can this be accomplished? # sample data id<-c(1,1,1,rep(4:12)) n<-c(10,20,13,22,28,12,12,36,19,12,

Hi everyone, I am a newbie in R and in this discussion list. I am trying to use R package "ncdf" to read values of temperature from a NCDF file. I did it before to another file using the function "get.var.ncdf", but now there is an error that I can not solve, and I would really appreciate if you could help me. I am using R version 2.11.1 (2010-05-31) in a machine with Linux

Dear all, I read a file with all numbers with readLines function, as below, > f <- file("data.txt") > a <- readLines(f) but all the values in a are in format "....", and I cannot do the calculation with them since they are not numeric. I wonder how should I skip those quotes, thank you for help! I have to use readLines function instead of scan, read.table or

Hi all, I wonder if there is a way to create a matrix with two (or even more) column/row names? Thank you very much. Have a nice day. -- ??? Hesen Peng http://hesen.peng.googlepages.com/

Hey Everyone, I have been stumped by this all day. Basically, I have a data.frame of multiple columns. Of concern are "id" & "date" For some reason, oftentimes there are duplicates of data with the same date. I would like to remove the duplicates per different id (removing duplicate dates for the entire data.frame would leave nothing since different id's all have

Dear all, does anybody ever encountered the problem with diagnostic plots? x<-rnorm(100) y<-rnorm(100) plot(lm(x~y)) It gives the following message "Waiting to confirm page change..." and nothing happens. Thanks a lot! [[alternative HTML version deleted]]

Hi, I have a dataframe SDF1 that looks like this: Char1 Char2 Char 3 W.2007.02 W.2007.09 W.2007.16 W.2008.13 A C1 F1 F2 F3 A C2 F4 B C3 F5 F6 I have another dataframe SDF2 with 163 cols that has the following column names Char1 Char2 Char 3 W.2007.02 W.2007.03 W.2007.04

Hello! I'm having trouble figuring out how to apply a function to a set of vectors or data frames, when that set is over 1000 large. I've created 1891 vectors named as follows: vector.names <- paste("vector",1:1891,sep="") These can be referred to easily by using get as follows: vector <- get(vector.names[1]) The problem is, I can't figure out a

Dear all, I am plotting a scatter plot for a large sample (1e+05 ordered pairs). This produces a large (~5MB) file in a pdf or postscript terminal, and I am wondering whether there are methods for reducing the size of the resulting file so that it is easier to include it in a document. I'd rather stick with pdf or ps as I am using latex. thanks, Nazareno

I have a very large dataframe and wish to extract a subset of rows. I have a two column matrix listing the starting and ending indices of one subset on each row. My idea is to create a vector of indices that could be applied to the dataframe and I have a solution using a for loop (below). But surely there is some more elegant way to do this! I looked thorough the archives without

Hi everyone! #I need a loop or a function that creates a X2 variable that is X1 without the extreme values (or X1 winsorized) by industry and year. #My reproducible example: firm<-sort(rep(1:1000,10),decreasing=F) year<-rep(1998:2007,1000) industry<-rep(c(rep(1,10),rep(2,10),rep(3,10),rep(4,10),rep(5,10),rep(6,10),rep(7,10),rep(8,10),rep(9,10), rep(10,10)),1000) X1<-rnorm(10000)

Hi, How can I extract the label only from a given data frame. Fore example from this data frame. > print(dataf) V1 V2 V3 V4 V5 V6 V7 V8 V9 11145 14.3 17.1 31.2 41.7 45.8 49.8 68.6 70.6 72.9 3545 10.2 15.6 20.9 23.2 31.4 31.7 36.2 48.4 51.9 8951 15.2 17.5 20.0 21.4 32.4