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Hi, I was *very* surprised by this little trick for new players: mean() only considers its first argument! > mean(1,1,2) [1] 1 > mean(2,1,1) [1] 2 I found this very different behaviour to max(): > max(1,1,2) [1] 2 > max(2,1,1) [1] 2 Perhaps this is the wrong list to ask, but does anyone else think this a little on the interesting side? Is it not possible to detect a

Hi, I read the posts for 2 hours and ?list and tried many comninations but I haven't found the answer to this basic question. So I decided to post my question even if it is a silly one ... What is the instruction to retrieve, for example, the "D" of the first list ? Thanks in advance, Ptit Bleu. > x<-list(LETTERS[1:5], LETTERS[10:20]) > x [[1]] [1] "A"

Hello, What is the best way of solving this problem? answer <- ifelse(tf=TRUE, i * 5, previous answer) where as an initial condition tf[1] <- TRUE For example if, tf <- c(T,F,F,F,T,T,F) over i = 1 to 7 then the output of the function will be answer = 5 5 5 5 25 30 30 Thank you. Phil,

Hi, is there a way to take a data frame with 100+ columns and large data set to do efficient exploratory analysis in R with pairs? I find using pairs on the whole matrix is slow and the resulting matrix is tiny. Also the variable of interest for me is a binary var Y or N . Is there an efficient way to graphically view many variable relationships that does not look teeny ? I could do

list(...), I would like to zoom in to the leaves of large trees in a dendrogram plot. The playwith package allows zooming by passing xlim and ylim arguments to the plot call (Hmisc does this too I think). But currently stats:::plot.dendrogram does not accept xlim or ylim. So I would like to enable that. In place of the existing code chunk: xlim <- c(x1 - 1/2, x2 + 1/2) ylim <- c(0,

list(...), I am working with environmental time series (eg rainfall, stream flow) that have attached quality codes for each data point. The quality codes have just a few factor levels, like "good", "suspect", "poor", "imputed". I use the quality codes in plots and summaries. They are carried through when a time series is aggregated to a longer time-step,

Hi I think I have been struggling to use replace correctly, I usually work my way around this using a loop, but I think this is in fact inefficient. I have a dataset with runoff from three plots and associated rainfall. However either the datarecording was sloppy, or the rainfall very patchy. So I am trying to remove data from my dataset for which the runoff is larger than the rainfall on the

list(...) I can not get at the grid viewports in a ggplot2 plot. I know there is supposed to be a viewport called "panel_1_1" but downViewport() can't find it. Has the viewport been popped? I had a quick look at the functions involved (eg ggplot_plot) but there is no obvious problem there. > library(ggplot2) > qplot(1:10, 1:10) > current.viewport() viewport[ROOT] >

Hi list(...), I've narrowed down a weird bug. It's like a ghost in the machine, in that functions seem to remember things that they should not be able to. In the example below, the result of the second (and subseqent) calls depend on what was given in the first call. foo <- function(given = NULL) { callObj <- quote(callFunc()) if (!is.null(given)) callObj$given

Hi. I am trying to do histograms in lattice, and I want to get both counts and percents in the same plot. To try to be clearer --- there are 3 levels to my factor; I'd like to get a 2 x 3 array of plots where the top row consist of histograms by counts and the bottom consists of (the corresponding) histograms by percent. I tried the following: # Demo. library(lattice) set.seed(42) XX <-

Hi- I am trying to find a way to diffuse GIS data on a European map. I have a dataset consisting of particular locations scattered across Europe, along with magnitude and value information. I can plot these as discrete points with something like the following: "geocode" is a dataframe with four columns: LAT; LONG; MAGNITUDE;VALUE. library(maps) library(mapdata)

I have a question about xyplot. Suppose I want to plot say a response variable y vs a predictor x within groups defined by a variable called z. And suppose I have another variable v=1,2 with two levels. I would use the following command to get a "spaghetti plot" with two panels defined by v. xyplot(y~x|v,groups=z,type="l") My question is that on top of the panels, the title of

Hi. I have built a levelplot with 3 variables, X, Y, and Z where X and Y are the two axes and Z represents the intensity (i.e. Z~X*Y). Now I want to adjust the size of the grid (like a mosaic plot) where the size of each grid is weighted by a variable, W. Just wonder how can I do that with levelplot? I tried exploring mosaic plot. How can I manipulate the "col" option to make it

My question arises when I use levelplot graphics. For example, levelplot(z~x*y|fg) where fg is a factor with three levels of 'a','b','c'. The panels come out in a default order. I would like to rearrange the panels in a manner of 'c','b','a'. I used fg<-ordered(fg, levels=c('c','b','a')) But the panels are still the

Hi, I would like to know how to build the transfer function modeling for bivariate time series data. I tried searching for relevant threads, but could not find much help with it. Thanks Ashish [[alternative HTML version deleted]]

Hi, Please tell me of an R graphical routine that will create a 3d plot something like "cloud" or "scatterplot3d" but that allows individual labeling of each point in the plot. I've done it with SPSS. I'm sure that there is an R routine, but I can't find it. I'm at: charles.liard.vb@cmha.bc.ca cliard@hotmail.com Thanks! Charles Charles Liard CMHA

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Hi there, I would like to design a graphical user interface to provide the functionality of my R-scripts to other users (not knowing anything about R...) Can anybody give me some hints which possibilities I have (advantages / disadvantages)? What do you use to build applications? Ciao, Antje

Hello R-folks, I don't get the color of the legend in a lattice-plot right. I select a palette from RColorBrewer and use (with a col = mypalette argument) it in the barchart plot. The resulting graph shows the new palette in the graph, but uses the standard palette in the legend rectangles. Adding a col argument into auto.key uses the new palette with the legend text, but not in the

Hallo, I'd like to write a GUI (first choice with GTK+). I've surfed through the R- an Omegahat-Pages, because I'd like to use RGTK2, GTK 2.10.11 in combination with glade on Windows XP (perhaps later Unix, Mac). I've found a lot of different information. Because of the information I'm not sure, if this combination is running on Windows XP and I'm unsure how it works. Is