similar to: write.csv (PR#7992)

Hello all, I had some trouble recently with write.csv because I couldn't change one of the default options. A quick view of the code showed that the function was not defined in the most optimal way. Currently, write.csv <- function (..., col.names = NA, sep = ",", qmethod = "double") write.table(..., col.names = NA, sep = ",", qmethod = "double")

Full_Name: Stefan Albrecht Version: 2.7.2 (and 2.8.0) OS: Windows NT Submission from: (NULL) (194.127.8.17) Dear R Debug-Team, in write.csv() it is not possible to set both row.names = FALSE, col.names = FALSE since the col.names = FALSE gets overwritten: > write.csv function (...) { Call <- match.call(expand.dots = TRUE) for (argname in c("col.names", "sep",

Full_Name: Kingsley Oteng-Amoako Version: 2.5.1 OS: Windows 5.1.2600 (Windows XP) Submission from: (NULL) (203.185.215.144) The col.names=false in the write.csv command does not work as documented. Attempting to write a vector to a csv file without column headers does not work as documented. The col.names=false feature on the write.table command does however work and it can thus be coerced

Dear r-bugs, I'd like to be able to draw boxplots with solid or dotted whisker lines. The lty argument is currently ignored by boxplot(), and indeed hardwired in bxp(). It's not very difficult to customize these functions to generate various types of boxplots, but generally it might be an idea to allow the user to pass a few more graphical arguments to boxplot(). The approach might as

Dear R developers, It would be great if you could implement the two minor code changes suggested below, which would help processing large objects in R. Jens Oehlschl?gel # Wish no. 1: let [.AsIs return the class AFTER subsetting, not the class of the original object # Wish no. 2: adjust write.csv and write.csv2 for multiple calls in chunked writing # Rationale no. 1: a couple of packages

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Full_Name: Arni Magnusson Version: 1.6.2 OS: Windows XP Submission from: (NULL) (210.48.49.68) Hi there. I'm experiencing unexpected behaviour from as.POSIXct: > as.POSIXct("1969-12-24") [1] "1969-12-23 23:00:00 New Zealand Standard Time" > as.POSIXlt("1969-12-24") [1] "1969-12-24" > as.POSIXlt("1969-12-24")+1 [1] "1969-12-23

Thanks to all who have responded. My concern was to be able to write a csv file that can have line feeds in string columns chr(10). Why? Excel allows line feeds chr(10) within cells and line breaks chr(13)+chr(10) at line ending, but the windows version of R automatically replaces \n by \r\n in writing and \r\n by \n in reading (text mode). The clues for a solution came from Brian Ripley and

Dear r-bugs, The 'see also' link in help(area,html=T) is broken, see line 91 in library/MASS/html/area.html: "../../integrate/html/integrate.html" should be "../../base/html/integrate.html" Regards, Arni OS: Windows XP R: 1.7.1 MASS: 7.1-8

I'd like to suggest changes to three help pages, regarding the use of pch=NA to suppress plotting symbols. See below. Arni R 2.0.1 on WinXP === help(bxp) === The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same:

In Windows XP, the matrix() function crashes the program when 'dimnames' is an empty list: matrix(1:4, nrow=2, dimnames=list()) # R has encountered a problem and needs to close ... This bug is specific to WinXP, as Linux64 handles this situation more gracefully: matrix(1:4, nrow=2, dimnames=list()) Error in matrix(1:4, nrow = 2, dimnames = list()) : invalid type

One descriptive statistic that is conspicuously missing from core R is the statistical mode - the most frequent value in a discrete distribution. I would like to propose adding the attached 'statmode' (or a similar function) to the 'stats' package. Currently, it can be quite cumbersome to calculate the mode of a distribution in R, both for experts and beginners. The lack of a

The model frame shows the response and predictors in a data frame with nicely labelled columns: fm <- lm(wt~qsec+log(hp)+sqrt(disp), data=mtcars) model.frame(fm) # ok When the left hand side consists of more than one response, those response variables still look good, inside a matrix: fm <- lm(cbind(qsec,hp,disp)~wt, data=mtcars) model.frame(fm)[[1]] # ok A problem arises when

hallo, i have a problem by writing a csv file the first colum is filled with index numbers from 1 to n. i have to unique two csv files once a week while one file is always the same. can anybody tell me, how to write the dataset into a csv file without the first row of the indexnumbers. x[,-1] does not wok as it eliminates the first "interesting" colum. col.names is not accepted by r

I present you with a function that solves a problem that has bugged me for many years. I think the problem may be general enough to at least consider adding this function, or a revamped version of it, to the 'stats' package, with the other multinomial functions reside. I'm using R to export data to text files, which are input data for an external model written in C++. Parts of the

The audit trail indicates that PR#3663 is not reproducible and/or fixed, but I believe windows(record=T) is still not working as documented: windows(record=T) for(i in 1:5) plot(0, 0, cex=4, pch=as.character(i)) After cycling through the plots with PgUp and PgDn, the user finds out that plot 5 is lost. Indeed, .SavedPlots reports that only 4 plots were saved. I'm running the example in

Dear R helpers exposure <- data.frame(id = c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20), ead = c(9483.686,50000,6843.4968,10509.37125,21297.8905,50000,706152.8354, 62670.5625, 687.801995,50641.4875,59227.125,43818.5778,52887.72534,601788.7937, 56813.14859,4012356.056,1419501.179,210853.4743,749961,6599.0862), pd =

Le 19/04/2018 ? 09:30, Tomas Kalibera a ?crit?: > On 04/19/2018 02:06 AM, Duncan Murdoch wrote: >> On 18/04/2018 5:08 PM, Tousey, Colton wrote: >>> Hello, >>> >>> I want to report a bug in R that is limiting my capabilities to >>> export a matrix with write.csv or write.table with over >>> 2,147,483,648 elements (C's int limit). I found

Consider: > x <- matrix(1:6, 2,3) > rownames(x) <- c("ID1", "ID2") > colnames(x) <- c("Attr1", "Attr2", "Attr3") > x Attr1 Attr2 Attr3 ID1 1 3 5 ID2 2 4 6 > write.csv(x,file="x.csv") "","Attr1","Attr2","Attr3" "ID1",1,3,5

I have been reading about autocorrelation in linear models over the last couple of days, and I have to say the more I read, the more confused I get. Beyond confusion lies enlightenment, so I'm tempted to ask R-Help for guidance. Most authors are mainly worried about autocorrelation in the residuals, but some authors are also worried about autocorrelation within Y and within X vectors