similar to: How do I make this faster?

Hi, $ cat commandArgs.R args=commandArgs(trailingOnly=TRUE) args[1]+10 I have the above code. But the following command line gives me an error. I am wondering what is the correct way to convert a string to a vector? $ Rscript commandArgs.R 1:3 > args=commandArgs(trailingOnly=TRUE) > args[1]+10 Error in args[1] + 10 : non-numeric argument to binary operator Execution halted Regards, Peng

Hola. Tengo un script con la siguiente estructura. #!/usr/bin/env Rscript args = commandArgs(trailingOnly=TRUE) source("carga-datos.R") source("modelo.R") y quiero llamar a mi script desde consola con Rscript --vanilla miscript.R datos1.csv De forma que se guarde como argumento el nombre del fichero que quiero cargar y se pase a al script carga-datos.R. El problema es

The example below creates parallel time-series plots of three different y variables conditioned by a dichotomous factor. In the graphical layout, ? Each y variable inhabits its own row and is plotted on its own distinct scale. ? Each level of the factor has its own column, but within each row the scale is held constant across columns. ? The panels fit tightly (as they do

I wish it didn't have to depend on the name '.local'. Back when I wrote a lot of S4 methods I avoided the auto-generated .local and named the local function something that made sense so that is was easier for a user to track down the source of an error. E.g., define the generic QQQ with numeric and integer methods: setGeneric("QQQ", function(x, ...)NULL)

Hi, I have a bunch of R scripts which have the hash bang !/usr/bin/env Rscript and I typically run these scripts by passing in some parameters like this: ./nameOfRScript arg1 arg2 ... I know Rscript has the option to run in --vanilla. Where exactly do I insert the --vanilla option? When I do something like this: ./nameOfRScript --vanilla arg1 arg2 ... And I try to access the commandArgs,

Would we really need the special class or would simply checking the formals of the method against those of the generic be simple and fast enough? On Thu, Jan 29, 2015 at 9:41 AM, John Chambers <jmc at r-project.org> wrote: > I wouldn't want to add more to the current approach; if someone would like > to devote some time, the much preferable idea IMO would be to replace the >

I would like to write a block of code that runs when a script is being run from Rscript, but not to run if the same file is being source()d, or submitted via ESS, etc. As a gloss I would like to write a file that looks somewhat like: #!/usr/bin/env Rscript my.func <- function(...) { #do something... } if ( #is.running.Rscript# ) { do.call(my.func, commandArgs(trailingOnly=TRUE)) }

Suppose I have the following function myFun <- function(formula, data){ f <- formula(formula) dat <- model.frame(f, data) dat } Applying it with this sample data yields a new dataframe: qqq <- data.frame(grade = c(3, NA, 3,4,5,5,4,3), score = rnorm(8), idVar = c(1:8)) dat <- myFun(score ~ grade, qqq) However, what I would like is for the resulting dataframe (dat) to include

Hello, We have running lustre 1.8.1 and have met "No space lest on device" error when uploading 500 Gb small files (less then 100 Kb each). The problem seems to depends on the number of files. If we remove one file, we can create one new file, even with Gb size; but if we haven''t remove something we can''t create even very little file, as an example using touch

Hi everyone, Following this post: http://r.789695.n4.nabble.com/currency-conversion-function-tt906056.html#a906061 I was trying to run the code: foo <- function(from, to, date){ url <- " http://www.oanda.com/convert/classic?script=..%2Fconvert%2Fclassic&language=en&value=1 " params <-

Is there a better way to do the following? I have data in a number of tab delimited files. I am using read.delim() to read them, in a loop. I am invoking my code on Linux Fedora 20, from the BASH command line, using Rscript. The code I'm using looks like: arguments <- commandArgs(trailingOnly=TRUE); # initialize the capped_data data.frame capped_data <- data.frame(lpar="NULL",

Dear all Is there any R function that would perform currency conversion using up-to-date exchange rates? I would be looking for a function that allows to download recent exchange rates (say, from Yahoo!) and then use these in converting currencies (say, USD to EUR). I am not sure whether r-sig-finance would be more appropriate, but the (off-)topic feels general enough to me. Thank you Liviu --

I am new to R so I apologize if my question is trivial. I have not been able to figure out whether what I want to do is even possible. I have a data frame of stock ticker symbols which I store into R space from a txt file as follows: tickers <- read.csv("stocks.txt", header=FALSE, sep=",") tickers <- tickers[1] / the tickers are stored in the first column >

dear R experts--- I am experimenting with multicore processing, so far with pretty disappointing results. Here is my simple example: A <- 100000 randvalues <- abs(rnorm(A)) minfn <- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] } ?## an arbitrary function ARGV <- commandArgs(trailingOnly=TRUE) if (ARGV[1] == "do-onecore") { ?library(foreach) ?discard <-

I'm having some trouble getting my shell script to work. I've checked out the Intro to R Manual and a host of other websites, but I still can't get the script to work when I submit the job to the cluster. Here is my main R code: ##Load Libraries ##... ## Load Time Data Args <- commandArgs(trailingOnly = TRUE); print(Args); timeDat <- read.flowSet(files=NULL, path=Args[1]);

I'm sure this question comes up waaaay to often in this list, and I apologize if I've missed the obvious answer. I did spend the last two hours looking for a solution and trying various things, but to no avail. I'm trying to run a command-line app (text-only). It's a cross-compiler tool for which we only have Windows binaries. The app works fine, but when I run it (i.e. to

# The result I am after is the result after a substitution in an expression, such as substitute(expression(a+b+c), list(a=1)) expression(1 + b + c) # However, the way I want to do it is for a an expression "stored as a variable" as (expr <- expression(a+b+c)) expression(a + b + c) # a) The following does not work (expr2 <- substitute(expr, list(a=1))) expr # b) - whereas this

Here is the function that makes the data.frames in the list: funweek <- function(df) if (length(df$elapsed_time) > 5) { res = fitdist(df$elapsed_time,"exp") year = df$sale_year[1] sample = df$sale_week[1] mid = df$m_id[1] estimate = res$estimate sd = res$sd samplesize = res$n loglik = res$loglik aic = res$aic bic = res$bic chisq =

+cfe-dev as the discussion is now biased toward C standard. I'm not sure what problem you see here. In default mode, i.e. > when there is no "#pragma STDC FENV_ACCESS on" in effect, > then the compiler can always assume that the default rounding > mode is in effect. Well, if #pragma STDC FENV_ACCESS on is not in effect, that means > that the user has promised that at

> get.hist.quote(instrument="INR/USD", provider="oanda", start="2005-10-20") trying URL 'http://www.oanda.com/convert/fxhistory?lang=en&date1=10%2F20%2F2005&date=11%2F01%2F2005&date_fmt=us&exch=INR&exch2=&expr=USD&expr2=&margin_fixed=0&&SUBMIT=Get+Table&format=ASCII&redirected=1' Content type