similar to: Transfer Function Modeling

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,

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

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

Hi! R is an amazing piece of software and with so many libraries it can do almost anything... but I was very surprised that a standard "binary search" function seems not to exist. I can find other much more highly-complex search routines (optimize, uniroot, nlm) in the standard no-extra-packages-loaded version of R, but not this simple alternative. I searched and found an

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, 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

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. 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 <-

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

Hello, I am fairly new to R am stumped on how to get the xyplot function in the lattice package to produce a scatter plot of count data versus time, such that the count data represent 8 different groups, and the plot produced has 8 unique "smoothed" lines for the different groups. This is the closest I can get to the desired plot: xyplot(masmean ~ mas, data = Pre96CR.masmeans, groups

Dear R-Help, I am looking into using the Open Calais web service (http:// sws.clearforest.com/calaisViewer/) for text mining purposes. I would like to use R to post text into one of the forms on their website. In package RCurl, there is a function called postForm(). This sounds like it would do the job. Unfortunately the URL used in the example is no longer valid (i have emailed the maintainer

Dear R users I plot the trellis graphics by using the lattice package. Everything is OK. Now, I want set some parameters of the trellis graphics. 1. The tick label site. By default, only two tick labels had been output in x-axis of my plot. I want output four or five tick labels. In the traditional graphics system, it will be very easy. Just not output the axis in plot by use the parameter