search for: converty

...f the pads in the follwoing lines : leftPad <- convertX(sum(glayout$page.layout$widths[1:(colRange[1]-1)]), "npc", valueOnly = TRUE) rightPad <- convertX(sum(glayout$page.layout$widths[(colRange[2]+1):layCols]), "npc", valueOnly = TRUE) topPad <- convertY(sum(glayout$page.layout$heights[1:(rowRange[1]-1)]), "npc", valueOnly = TRUE) botPad <- convertY(sum(glayout$page.layout$heights[(rowRange[2]+1):layRows]), "npc", valueOnly = TRUE) I was succesful in tweaking the follwing lines adding arbitrary constants to make it w...

hello! je veux importer un fichier de donnees excel que j'ai au prealable converti en fichier txt avec separateurs tab, fichier de la forme entree simple (suite de colonnes contenant des variables). Voila ma ligne de commande : > poussins <- read.table("poussins.txt", header=T, sep="\t") et sa reponse Erreur dans scan(file = file, what = what, sep = sep, quote =

Hi all, I'm getting confused by date handling. I wish to read a date from a file wich is a number of seconds since 1970 (POSIXct). Then i wish to convert this date to a human readable form (POSIXlt) By example : ctDate<-1132963200 #"Wed Aug 30 14:24:37 2006" is(ctDate) [1] "numeric" "vector" ctDate isn't a numeric vector, it is a

Hello guys, I'm trying to do a pairs trading cointegration analysis on two stocks (AXAP and AXANY), but I get an error that I don't understand... Here's my code: setwd("S:/Users/Alexis/Desktop/Essai") #chemin du dossier contenant les donn?es donnees <- read.csv("Data_R.csv", head=T, sep=";", stringsAsFactors=F) library(xts) dates <-

I recently developed an R package to make available a very large legacy program written in Fortran. My package has been rejected by CRAN due to this Write statement with the message "As 'Writing R Extensions' warns you against including Fortran I/O, this will not be allowed." The issue is that this Write statement does not involve I/O it is inernally writing an integer to a

...f the pads in the following lines : leftPad <- convertX(sum(glayout$page.layout$widths[1:(colRange[1]-1)]), "npc", valueOnly = TRUE) rightPad <- convertX(sum(glayout$page.layout$widths[(colRange[2]+1):layCols]), "npc", valueOnly = TRUE) topPad <- convertY(sum(glayout$page.layout$heights[1:(rowRange[1]-1)]), "npc", valueOnly = TRUE) botPad <- convertY(sum(glayout$page.layout$heights[(rowRange[2]+1):layRows]), "npc", valueOnly = TRUE) I was succesful in tweaking the follwing lines adding arbitrary constants to make it w...

..., width=unit(0.8,"npc"), height=unit(2,"cm")), circleGrob(r=0.3)) ## loop over angles to map the boundary gtheta <- function(g, theta){ sapply(theta, function(.t){ gx <- convertX(grobX(g, .t), "npc") gy <- convertY(grobY(g, .t), "npc") c(gx,gy) }) } angles <- seq(0,360,by=30) p1 <- gtheta(g1, angles) grid.newpage() grid.draw(g1) grid.points(p1[1,],p1[2,], gp=gpar(cex=0.2), default.units="npc") If I'm not mistaken, neither gList nor gTree seem to...

...unction(g, angle=0){ # utility function, works fine matR <- matrix(c(cos(angle), -sin(angle), sin(angle), cos(angle)), nrow = 2) gravity.x = unit(mean(g$x),"npc") gravity.y = unit(mean(g$y),"npc") x.center = convertX(g$x - gravity.x ,"npc",TRUE) y.center = convertY(g$y - gravity.y ,"npc",TRUE) new.xy <- matrix(c(x.center, y.center), ncol=2) %*% matR editGrob(g, x=unit(new.xy[,1],"npc") + gravity.x, y=unit(new.xy[,2],"npc") + gravity.y) } gradient.polygon <- function(g, n=100, cols=co...

In a string context, grep, gsub, sub are improperly treating NA (missing) as the string "NA", and returning unexpected results > grep("A", c(NA,"NA")) [1] 1 2 # expected: # [1] 2 > gsub("A", "X", c(NA,"NA")) [1] "NX" "NX" # expected # [1] NA "NX" > sub("A", "X",

Does anyone know how to import a SAS .sd2 file into R? I can't see anything in library(foreign). Thank you. Mark

Hi all, I am back with a new question ! I recorded the occurence of 4 differents event on 20 places for a given time period. Now, I want to do some barplot of the frequency of theses events for each place, so it should be easy. My problem is that I want to see the frequencies of the 4 events on my barplots even if the frequency of some of them is 0. How could I do that ? Thanking you in advance

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