similar to: R functionality

Would it be hard to make the X11 device driver in R accept general X11 resources? In particular I would like to be able to set the title of the graphics window when I start it up. (Note this is not the same thing as the title of a plot but rather is the character string visible to the window manager, and usually goes in a titlebar on top.) For example in Splus one can do > motif('-xrm

The initial authors of R said?, "...we implemented the language by first writing an interpreter for a Scheme subset and then progressively mutating it to resemble S." Further on in that article they elaborated that their strategy was to create a parser that would take expressions in S-like syntax and translate them to Scheme S-expressions. Does R still work that way? Can R be made to

> Date: Mon, 30 Nov 1998 12:07:10 -0500 > From: Paul Gilbert <pgilbert@bank-banque-canada.ca> > To: Ed Kademan <kademan@phz.com> > > >Is there anything R can do that Splus can't? > > Problems which require lots of looping and cannot be re-coded as vector/matrix > operations are theoretically possible but practically infeasible in S, unless > they

I am considering getting the rpvm package for running a parallel virtual machine working on Splus. That package contains a considerable amount of C-level code written to interface R with the pvm3 library functions and of course all of it uses the R macros and conventions associated with the R-style ".Call". It looks as though it might be possible to automatically transform that code to

You get a warning message when you specify a ylab parameter while plotting data whose x's are POSIXct values. Apparently the `axis.POSIXct' method tries to reset the ylab---via the ... parameter---after it has already been set by higher level methods. Here is a function that illustrates the problem. ylabProblem <- function() { x <- ISOdate(2003, 4, 1:10) # POSIXct

Hi, I am trying to write a function which defines some arguments, then uses those arguments as arguments of other function calls. It's a bit tricky to explain, so a simple example will have to suffice. I imagine this has a simple solution, but perusing through environments and other help lists has not helped. Suppose I have two functions: f1 = function(a) {     b = a + 1     b } f2 =

Hi, I'd like to graph three lines on ggplot2 and I intend the lines to be "solid", "dashed", and "dotted". The legend names are "name_b", "name_a", "name_c". I'd like to legend to present in the order: the "name_b" at the top, and "name_c" at the bottom. As a consequence, the legend is indeed in the order:

Dear R-help, Can some one explain why barplot() uses changing colors in the bars by default? I should think that most of the time when people draw barplots, they want the bars to be in the same color. (At least that's what I'd expect. The first time I used barplot() in R, I was shocked to see the colors.) As an example, one example in ?layout draws a scatterplot with histograms drawn

Dear R-help, Can some one explain why barplot() uses changing colors in the bars by default? I should think that most of the time when people draw barplots, they want the bars to be in the same color. (At least that's what I'd expect. The first time I used barplot() in R, I was shocked to see the colors.) As an example, one example in ?layout draws a scatterplot with histograms drawn

Dear all I was writing some code that needed functions from packages 'MASS' and 'CircStats', and I received a warning saying that the function 'eqscplot' in one of the packages was masked by another 'eqscplot' from the other package (in fact 'eqscplot' from 'CircStats' seems a short version of 'eqscplot' from 'MASS'). This masking of

Hi !! I am trying to analyze some of my data using linear discriminant analysis. I worked out the following example code in Venables and Ripley It does not seem to be happy with it. ============================ library(MASS) library(stats) data(iris3) ir<-rbind(iris3[,,1],iris3[,,2],iris3[,,3]) ir.species<-factor(c(rep("s",50),rep("c",50),rep("v",50)))

Hi group, I am currently plotting two densities using the following code: x1 <- c(1,2,1,3,5,6,6,7,7,8) x2 <- c(1,2,1,3,5,6,5,7) plot(density(x1, na.rm = TRUE)) polygon(density(x2, na.rm = TRUE), border="blue") However, I would like to avoid bordering the second density as it adds a nasty bottom line which I would like to avoid. I would also rather have a dashed or dotted line

Hi, I'd like to graph three lines on ggplot2 and I intend the lines to be "solid", "dashed", and "dotted". The legend names are "name_b", "name_c", "name_a". I'd like to legend to present in the order: the "name_b" at the top, and "name_a" at the bottom. Could it be done by order function or its inverse?

Hi Your approach seems to me rather complicated. I would reshape data before plotting and maybe also change order of levels in resulting variable factor library(reshape2) dfm<-melt(df) dfm$variable<-factor(dfm$variable, levels=levels(dfm$variable)[c(2,1,3,4)]) p2<-ggplot(dfm, aes(x=rep(1:2,4), y=value)) p2+geom_line(aes(linetype=variable))+

Hi there, I've looked through the very helpful advice about adding fitted lines to plots in the r-help archive, and can't find a post where someone has offered a solution for my specific problem. I need to plot logistic regression fits from three differently-sized data subsets on a plot of the entire dataset. A description and code are below: I have an unbalanced dataset

Hi, I ran your code, but the results were not as expected. After I ran the code by "source", it return No id variables; using all as measure variables > p2 and no line or legend is on the graph (as attached) Am I doing anything wrong? John library(ggplot2) library(reshape2) dfm<-melt(df) dfm$variable<-factor(dfm$variable, levels=levels(dfm$variable)[c(2,1,3,4)])

Dear R-Users I have 2 questions: Firstly, If I create a matplot and legend for multiple vectors and then tag another vector on using matlines (e.g. a 'total' of all vectors), is there anyway to add the new line to the legend without recreating it? I have created the plot this way because I would like to define the lty and lwd for the 'total' vector so that it can be

Hi there, I am having a little problem with combining three scale_manual commands in a facet plot. I am not able to combine the three different characteristics, instead ending up with three different descriptions next to the graph for the same geom. I would like to see two separate labels (not three); one describing lines 1-7 and the other 8-14. For each of the treatments (A-B) I want a

Hello Rails people, I submitted a patch recently to get rid of an annoying exception raised when an AR object is created - http://dev.rubyonrails.org/ticket/10556 , had some people review it, got some pluses... What am I supposed to do now? Can anybody advise or just review the patch and take care of the issue? Thanks! -- Best regards, Yuri Leikind

At 14:35 02/10/00 +0800, mohd zamri wrote: >new to R and starting to learn to program R. The underscore ("_") did some >suprising result. e.g > >> c <- c(1,2,3,4,5) >> mean(c) >[1] 3 >> c_mean <- mean(c) >> c >[1] 3 > >having some experience in C, I thought the underscore is "always" valid in >variable name. totally confuse