similar to: Data frame to list

I have a 280,000 x 11 matrix with various values and many NA values. What I would like to do is get a vector of every unique value in the matrix. For example: X = [ 1 2 NA 4 3 1 7 NA 2 ] Returns: Unique_X = [ 1, 2, 3, 4, 7] Thanks, Todd [[alternative HTML version deleted]]

R-helpers: I'm running a file search on my entire drive (Mac OS X) using: files_found <- list.files(dir="/",pattern=somepattern,recursive=TRUE,full.names=TRUE) where somepattern is a search pattern (which I have confirmed via a unix "find / -name somepattern" only returns ~ 3 results). I keep getting an error: Error: C stack usage is too close to the limit when

R-helpers: It looks like http://finzi.psych.upenn.edu/search.html has stopped spidering the mailing lists -- this used to be my go-to site for searching for R solutions. Are there any good replacements for this? I want to be able to search both functions and mailing lists at the same time. Cheers! --j -- Jonathan A. Greenberg, PhD Assistant Professor Department of Geography University of

Quantreggers: I'm trying to run rq() on a dataset I posted at: https://docs.google.com/file/d/0B8Kij67bij_ASUpfcmJ4LTFEUUk/edit?usp=sharing (it's a 1500kb csv file named "singular.csv") and am getting the following error: mydata <- read.csv("singular.csv") fit_spl <- rq(raw_data[,1] ~ bs(raw_data[,i],df=15),tau=1) > Error in rq.fit.br(x, y, tau = tau, ...) :

R-developers: I'm working on updating my R package "spatial.tools", and one thing I was wondering was the proper way to have hidden functions -- should I simply not export them to the namespace and use the ::: operator to call them (which is what I currently do)? --j -- Jonathan A. Greenberg, PhD Assistant Professor Global Environmental Analysis and Remote Sensing (GEARS)

This is probably a very noobish question, but if I want to create a function that allows an undetermined number of, say, numeric vectors to be fed to it, I would use: myfunction = function(...) { # Do something } Right? If so, how do I a) count the number of vectors "fed" to the function, and b) how do I treat those vectors as variables, e.g. for the call:

R-helpers: Say I have a list: myvariables <- list(a=1:10,b=20) Is there a way to load the list components into the environment as variables based on the component names? i.e. by applying this theoretical function to myvariables I would have the variables a and b loaded into the environment without having to explicitly define them. --j -- Jonathan A. Greenberg, PhD Assistant Professor

R-helpers: What would be the absolute fastest way to make a large "empty" file (e.g. filled with all zeroes) on disk, given a byte size and a given number number of empty values. I know I can use writeBin, but the "object" in this case may be far too large to store in main memory. I'm asking because I'm going to use this file in conjunction with mmap to do parallel

R-helpers: I need a quick help with the following graph (I'm a lattice newbie): require("lattice") npp=1:5 names(npp)=c("A","B","C","D","E") barchart(npp,origin=0,box.width=1) # What I want to do, is add a single vertical line positioned at x = 2 that lays over the bars (say, using a dotted line). How do I go about doing this?

I have a matrix of, say, M and N dimensions: my_matrix=matrix(c(1:60),nrow=6,ncol=10) I have two "id" vectors corresponding to the rows and columns, e.g.: id_m=seq(10,60,by=10) id_n=seq(100,1000,by=100) I would like to create a "proper" database (let's say a data.frame for this example -- i'm going to be loading these into an SQLite database, but we'll leave

Folks: Say I have a set of histogram breaks: breaks=c(1:10,15) # With bin ids: bin_ids=1:(length(breaks)-1) # and some data (note that some of it falls outside the breaks: data=runif(min=1,max=20,n=100) *** What is the MOST EFFICIENT way to "classify" data into the histogram bins (return the bin_ids) and, say, return NA if the value falls outside of the bins. By classify, I mean

R-developers: I'm beginning to work on a manuscript for a set of functions I developed for a package I have on CRAN (spatial.tools), and I'd like to rename a function in my package to give a better idea of what it does prior to manuscript submission -- is there a "safe" way to do a backwards-compatible rename of a function within a CRAN package (so functions that rely on the

R-developers: I had a quick question for the group -- let's say a package I am developing depends on a single, small function from a large CRAN-listed package. I can, of course, set a dependency within my own package, but are there means by which I can include the R script + man file DIRECTLY in my package (of course attributing the code to the original programmer). Does it require me

I'm trying to redirect where temporary files go under R to D:\temp\somerandomname from its default (C:\Documents and Settings\username\Temp\somerandomname) -- how do I go about doing this? --j -- Jonathan A. Greenberg, PhD Postdoctoral Scholar Center for Spatial Technologies and Remote Sensing (CSTARS) University of California, Davis One Shields Avenue The Barn, Room 250N Davis, CA 95616

Quick question -- if I have a vector of strings that I'd like to split into two new vectors based on a substring that is inside of each string, what is the most efficient way to do this? The substring that I want to split on is multiple characters, if that matters, and it is contained in every element of the character vector. --j -- Jonathan A. Greenberg, PhD Postdoctoral Scholar

R-developers: I have a small python script that I'd like to include in an R package I'm developing, but I'm a bit unclear about which subfolder it should go in. R will be calling the script via a system() call. Thanks! --j -- Jonathan A. Greenberg, PhD Assistant Professor Global Environmental Analysis and Remote Sensing (GEARS) Laboratory Department of Geography and Geographic

R-helpers: I'd like to be able to store all the file information from an ftp site (e.g. file and foldernames) through an R command. Any ideas how to do this? Here's an example site to use: ftp://e4ftl01.cr.usgs.gov/MOTA/MCD15A3.005 --j -- Jonathan A. Greenberg, PhD Assistant Professor Department of Geography and Geographic Information Science University of Illinois at

Given an arbitrary set of character vectors: myvect1 <- c("abc","3","4") myvect2 <- c("2","3","4") I would like to develop a function that will convert any vectors that can be PROPERLY converted to a numeric (myvect2) into a numeric, but leaves character vectors which cannot be converted (myvect1) alone. Is there any simple way

The code base is a bit too complicated to paste in here, but the gist of my question is this: given I have a function myfunction <- function(x) { # Do something A # Do something B # Do something C } Say "#Do something B" returns this error: Error in cat(list(...), file, sep, fill, labels, append) : argument 2 (type 'list') cannot be handled by 'cat' A standard

Dear R-experts: I am using a function called AUC whose arguments are data, time, id, and dv. data is the name of the dataframe, time is the independent variable column name, id is the subject id and dv is the dependent variable. The function computes area under the curve by trapezoidal rule, for each subject id. I would like to embed this in aggregate to further subset by each