similar to: help with $ and % symbols in R

Hi, I wanted to install the gWidgets package and ran the following code: ------------------------------------------ > install.packages("gWidgets") trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/bin/windows/contrib/2.7/gWidgets_0.0-30.zip' Content type 'application/zip' length 1354268 bytes (1.3 Mb) opened URL downloaded 1.3 Mb package 'gWidgets'

Hello everybody, here is the code I use to read an excel file containing two rows, one of date, the other of prices: library(RODBC) z <- odbcConnectExcel("SPX_HistoricalData.xls") datas <- sqlFetch(z,"Sheet1") close(z) It works pretty well but the only thing is that the datas stop at row 7530 and I don?t know why datas is a data frame that contains 7531 rows with the

Hello Everyone, I am an avid Sweave user and I am trying to pretty print floating point numbers for latex output. For example in my document, I would like: 4.2\cdot 10^-{8} Instead of: 4.2e-08 The Hmisc package has a nice function for doing this- but Hmisc has a ton of dependencies and has proved very unportable to the various machines I work on. So, I set out to write my own function that

My R crashes frequently when run with huge data. -- View this message in context: http://www.nabble.com/R-crashes-tp26110355p26110355.html Sent from the R help mailing list archive at Nabble.com.

I agree there is no reason they _need_ to be the same precedence, but I think SPECIALS are already have the proper precedence for both unary and binary calls. Namely higher than all the binary operators (except for `:`), but lower than the other unary operators. Even if we gave unary specials their own precedence I think it would end up in the same place. `%l%` <- function(x) tail(x, n =

I guess this would establish a separate "namespace" of symbolic prefix operators, %*% being an example in the infix case. So you could have stuff like %?%, but for non-symbolic (spelled out stuff like %foo%), it's hard to see the advantage vs. foo(x). Those examples you mention should probably be addressed (eventually) in the core language, and it looks like people are already able

I read a table from Microsoft Access using RODBC. Some of the variables had a name with a space in it. R has no problem with it but I do. I cannot find out how to specify the space names(alltime) [1] "ID" "LVL7" "Ref Pv No" "Ref Pv Name" "DOS" "Pt Last Name" "Pt First Name" "MRN"

Martin, Jim can speak directly to his motivations; I don't claim to be able to do so. That said, I suspect this is related to a conversation on twitter about wanting an infix "unquote" operator in the context of the non-standard evaluation framework Hadley Wickham and Lionel Henry (and possibly others) are working on. They're currently using !!! and !! for things related to

Hello, writing some R code to cleanse a data set, if the following set of symbols are identified then perform some actions. trying to write the minimum code to do this. tname = "VIX" checkticker = c("VIX", "TYX", "TNX", "IRX") if (tname == checkticker) { //perform some operations } result i get is > tname == checkticker

>After off list discussions with Jonathan Carrol and with >Michael Lawrence I think it's doable, unambiguous, >and even imo pretty intuitive for an "unquote" operator. For those of us who are not CS/Lisp mavens, what is an "unquote" operator? Can you expression quoting and unquoting in R syntax and show a few examples where is is useful, intuitive, and fits in to

I am working on dumping raster data from R into PNG files using rasterImage(). I am working with a test matrix from the rasterImage() example and using it to produce a PNG image with the following code: # From the example for rasterImage(). A 3 pixel by 5 pixel b/w checkerboard. testImage <- as.raster(0:1, nrow=3, ncol=5) testImage [,1] [,2] [,3] [,4] [,5] [1,]

I am working on dumping raster data from R into PNG files using rasterImage(). I am working with a test matrix from the rasterImage() example and using it to produce a PNG image with the following code: # From the example for rasterImage(). A 3 pixel by 5 pixel b/w checkerboard. testImage <- as.raster(0:1, nrow=3, ncol=5) testImage [,1] [,2] [,3] [,4] [,5] [1,]

Hi, I have a column in a data frame looking something like: $sex $language $count male english 0 male english 0 female english 32 male spanish 154 female english 11 female norweigan 7 and so on. What I want to do is to order these in to categories, for instance one category where count>=0 & count<10 and so on.. I want my data to turn out looking something like: male

R has long supported user defined binary (infix) functions, defined with `%fun%`. A one line change [1] to R's grammar allows users to define unary (prefix) functions in the same manner. `%chr%` <- function(x) as.character(x) `%identical%` <- function(x, y) identical(x, y) %chr% 100 #> [1] "100" %chr% 100 %identical% "100" #> [1] TRUE

Your example x = 5 exp = parse(text="f(uq(x)) + y +z") # expression: f(uq(x)) +y + z do_unquote(expr) # -> the language object f(5) + y + z could be done with the following wrapper for bquote my_do_unquote <- function(language, envir = parent.frame()) { if (is.expression(language)) { # bquote does not go into expressions, only calls

The unquoting discussion is IMHO separate from this proposal and as you noted probably better served by a native operator with different precedence. I think the main benefit to providing user defined prefix operators is it allows package authors to experiment with operator ideas and gauge community interest. The current situation means any novel unary semantics either need to co-opt existing

Hi, all, My objective is to split a dataframe named "cmbine" according to the value of "classes". After the split, I will take the first instance from each class and bin them into a new dataframe, "df1". In the 2nd iteration, I will take the 2nd available instance and bin them into another new dataframe, "df2". >cmbine$names apple tiger pencil chicken

I noticed some undocumented and inconsistent behavior in device_Raster when a plot is produced with reflected axes such as: image(volcano, xlim = c(1,0), useRaster = TRUE) image(volcano, ylim = c(1,0), useRaster = TRUE) The `pdf` device will perform horizontal and vertical reflections, while `quartz` will ignore the transformations when plotting to the screen, but when plotting to a

Hi all (especially R-core) I suppose, With the introduction of the new functional programming functions into base I thought I'd ask for a Curry() function. I use a simple one that looks this: Curry = function(FUN,...) { .orig = list(...);function(...) do.call(FUN,c(.orig,list(...))) } This comes in really handy when using say, heatmap():

Hello R developers, I sincerely apologize if the answer to this question is clearly documented somewhere, but I was unable to figure it out over my morning coffee. I just downloaded today's release of R 2.11.0 and installed it on my Windows 7 64 bit VM. I also downloaded the latest version of Rtools211 from Professor Murdoch's site. The first thing I attempted to do was build some of