similar to: littler usage

What ? ====== littler - Provides hash-bang (#!) capability for R (www.r-project.org) Why ? ===== GNU R, a language and environment for statistical computing and graphics, provides a wonderful system for 'programming with data' as well as interactive exploratory analysis, often involving graphs. Sometimes, however, simple scripts are desired. While GNU R can be used

Hi, This code used to work well until a few months ago (I haven't used it since), but now it's giving this: ---<--------------------cut here---------------start------------------->--- $ cat <<EOF | r - locs <- read.csv(list.files(pattern="ds_.+_.+\\.csv"), colClasses=c(rep("character", 2), "numeric", "character",

Hi, I'm not sure when this started occurring, but now I get: ---<--------------------cut here---------------start------------------->--- $ r -e 'quantile(rnorm(1e5))' Error in (function (name, package, ...) : autoloader did not find 'quantile.default' in 'stats' ---<--------------------cut here---------------end--------------------->--- I'm using

Hi, When using method L-BFGS-B along with a parscale argument, should the lower and upper bounds provided be on the scaled or unscaled values? Thanks. Cheers, -- Seb

Fellow R-helpers, Suppose we create a histogram as follows (although it could be any vector with zeroes in it): R> lenh <- hist(iris$Sepal.Length, br=seq(4, 8, 0.05)) R> lenh$counts [1] 0 0 0 0 0 1 0 3 0 1 0 4 0 2 0 5 0 6 0 10 0 9 0 4 0 [26] 1 0 6 0 7 0 6 0 8 0 7 0 3 0 6 0 6 0 4 0 9 0 7 0 5 [51] 0 2 0 8 0 3 0 4 0 1 0 1 0 3

Hi, The following call: xyplot(incidence ~ year, melanoma, panel=panel.smooth) produces a blank plot region with an error message: Error using packet 1 plot.new has not been called yet > sessionInfo() R version 2.11.1 (2010-05-31) x86_64-pc-linux-gnu locale: [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C LC_TIME=en_CA.UTF-8 LC_COLLATE=en_CA.UTF-8 LC_MONETARY=C

Hi, how can I use R in a pipline like this $ ./generate-data | R --script-file=Script.R | ./further-analyse-data > result.dat Assume a column based output of ./generate-data, e.g. something like: 1 1 1 2 4 8 3 9 27 4 16 64 The R commands that process the data should come from Script.R and should print to stdout (Script.R could for example calculate the square of every entry or calculate

Hi, I'm usually confused about when to use 'slot' or '@'. I've frequently read that it's always preferable to use accessor functions, so I would think the '@' operator should be avoided. However, ?slot contains the following advise: "Generally, the only reason to use the functional form rather than the simpler operator is _because_ the slot name has to

Hello, I have this script which will be invoked as Rscript a.r < a.r a.r follows #!/usr/bin/Rscript --vanilla f=file("stdin") while(TRUE){ y=readLines(f,n=1,warn=TRUE) if(length(y)==0) break else print(y) } But it only reads one line from a.r How can I read line by line from standard input? Thank you Saptarshi

Hi, How can we set the environment for the minuslog function in mle()? The call in this code fails because the "ll" function cannot find the object 'y'. Modifying from the example in ?mle: library(stats4) ll <- function(ymax=15, xhalf=6) { -sum(stats::dpois(y, lambda=ymax/(1+x/xhalf), log=TRUE)) } fit.mle <- function(FUN, x, y) { loglik.fun <- match.fun(FUN)

Hi, The following produces almost exactly what I needed. The problems are that the 'panel.dotplot' call (commented) generates the error 'Error in NextMethod("[") : argument "subscripts" is missing, with no default'. The other problem is that the colors alternate between the levels of the 'site' variable, rather than 'year'. barley$yield2

Hi, I'm having a bit of trouble with 'scales="free"' in the segplot() function of latticeExtra. Say we need panels for each year, showing only those counties that are represented in each one: ---<--------------------cut here---------------start------------------->--- library(latticeExtra) data(USCancerRates) uscr.w <- subset(USCancerRates, state ==

Hi, I posted in R-devel, thinking it might be a general R problem, but Uwe cannot reproduce it in his GNU/Linux distro, with the same R version. So I'm posting here to ask whether Debian R users are having this problem. I'm getting a segmentation fault as follows: ---<--------------------cut here---------------start------------------->--- R> begt <-

Hi, I'm trying to fit the following model to data using 'nls': y = alpha_1 * beta_1 * exp(-beta_1 * x) + alpha_2 * beta_2 * exp(-beta_2 * x) and the call I've been using is: nls(y ~ alpha_1 * beta_1 * exp(-beta_1 * x) + alpha_2 * beta_2 * exp(-beta_2 * x), start=list(alpha_1=4, alpha_2=2, beta_1=3.5, beta_2=2.5), trace=TRUE, control=nls.control(maxiter =

What ? ------ We are pleased to announce version 0.0.6 of littler What's new ? ------------ This version includes a bug fix or two as well as a number of small enhancements to the documentation. For OS X and the r/R confusion, our recommended suggestion is to call configure using either the --program-suffix=X or --program-prefix=Y option to have the binary and manual

Hello, Suppose we need a function that takes a POSIXct object and need to calculate the time difference between it and GMT time: gmtDiff <- function(time) { time.gmt <- as.POSIXct(format(time, tz="GMT")) time.plt <- as.POSIXlt(time) dlstime <- ifelse(time.plt$isdst > 0, 1, 0) timezone <- as.numeric(difftime(time, time.gmt, units="hours"))

Hi, I came across a case where there's a discrepancy between minimum and maximum values reported by 'summary' and the 'min' and 'max' functions: ---<---------------cut here---------------start-------------->--- R> str(tt) num [1:1397] 1952 1970 1976 1967 1946 ... R> summary(tt) Min. 1st Qu. Median Mean 3rd Qu. Max. 1920 1960 1970

Hi, I'm trying to write a series of pipes using littler, and I get the following behaviour: Sorry if I'm just doing something witless, I'm new to R. I'm using the latest versions from debian testing (2.4.0 and 0.0.8). $ r -e 'a<-dget(file=stdin()); print(a)' ?list(a=2) Segmentation fault In R itself this works: > dget(file=stdin()) ?list(a=2) $a [1] 2 As do (from

Dear R folks, I have several data sets I want to process automatically using R. I found littler [1] and thought this will do the trick. 1. Read in data file to a data frame using `scan()`. 2. Do linear regression. 3. Write the data and the coefficients back to a file. #!/usr/bin/env r if (is.null(argv) | length(argv)!=1) { cat("Usage:

Hello list, I'm having some difficulty getting rJava to load in littler. Even after a R CMD javareconf and a reinstall of littler, I get this: jlaing at xenon:~$ r -e "require(rJava)" Loading required package: rJava Loading required package: methods Error : .onLoad failed in loadNamespace() for 'rJava', details: call: dyn.load(file, DLLpath = DLLpath, ...) error: unable