similar to: Treemaps

First: Im sorry for my bad english ;-) I use "portfolio" to create treemaps with "R". I've got a .csv dataset of all the schools in my city, containing 6 variables each with 1469 lines of data. When I create a treemap, 3 of these schools were not taken into account by "R". I dont know why. It doesn't matter where I put them in my dataset, they won't

Let's say I have data in the following schema that describes the number of purchases a company has received from each County in the US: State | County | Purchases --------------------------------------- NJ | Mercer | 550 CA | Orange | 23 .... I would like to visualize what states contribute the most to the overall total, and furthermore within those states, what Counties contribute the most.

I am trying to use the friedman.test() on a data frame, d, but I am receiving the following error message: > d AW HS IAC WA 1 6 8 3 5 2 2 2 3 6 3 7 7 8 3 4 8 5 4 5 .... 20 2 5 2 7 21 7 7 6 7 22 7 8 6 8 23 6 8 4 5 24 5 7 5 2 > friedman.test(d) Error in any(is.na(groups)) : argument "groups" is missing, with no default I think I

Hi~I'm new to R. I'm following these two tutorials to make a tree map, but the color scale isn't quite what I wanted. For map of the market, the color scale starts from 0(red) to max(green), what I wanted is 0(Green)-1(Red)-max(green). What's the easiest way to achieve this kind of divergent color scale? How shall I make my own palette and use it in the map.market or tree map

Thanks to David Meyer [david.meyer@ci.tuwien.ac.at] and David Brahm [brahm@alum.mit.edu] who suggested: m[ cbind(index.i, index.j) ] <- vals This works fine for the example I gave. Unfortunately, this approach doesn't extend to using the row and column names to make assignments: > m <- matrix("",ncol=3,nrow=3) > dimnames(m) <-

Hi there, I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include "R.h" // R functions #include "Rinternals.h" #include "Rmath.h" //

Hi there, I'm sorry if I a send it for second time, I've just subscribed for the list. I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include

Hi all, I am running R 2.5.0 under Windows XP Media Center Edition. Here's a problem that's been stumping me for a few days now, and I can't find anything useful in the archives. I am using voronoi.mosaic (tripack package) to create proximity polygons for a study of vegetation competition and dynamics. The points lists are read in from a file for each plot, then 8 duplicates

Hi there, I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include "R.h" // R functions #include "Rinternals.h" #include "Rmath.h" //

Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

as.character.factor contains this line (where cx=levels(x)[x]): if ("NA" %in% levels(x)) cx[is.na(x)] <- "<NA>" Is it possible that this is no longer the desired behavior? These two results don't seem very consistent: > as.character(as.factor(c("AB", "CD", NA))) [1] "AB" "CD" NA > is.na(.Last.value)[3] [1] TRUE

The following code produces 6 plots on a page, but the first is distorted and different from the others: par(mfrow=c(3,2), las=2) for (i in 1:6) { frame() par(mar=c(7, 7, 1, 1)) axis(2); box(); abline(h=seq(0,1,.5), col=2:4) } The first plot's axes are mis-aligned with the plotting area implied by the box. It seems to be a result of calling par(mar) after frame(). Is this expected

I sent a message to <r-announce at stat.math.ethz.ch> last Thursday ("New package: colSums"), and still haven't seen it echoed on r-help or on the web archive (in fact there is no r-announce web archive for 2002). Is something broken? Did I need to use <r-announce at lists.R-project.org> instead? -- -- David Brahm (brahm at alum.mit.edu)

Under R-2.2.1, a POSIXlt date created with "strptime" has an unknown Daylight Savings Time flag: > strptime(20051208, "%Y%m%d")$isdst [1] -1 This is true on both Linux (details below) and Windows. It did not occur under R-2.1.0. Any ideas? TIA! > Sys.getenv("TZ") TZ "" Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu

help(library) says: "`.Last.lib' is called when a package is loaded." Probably should be "...is detached." -- David Brahm (brahm@alum.mit.edu) --please do not edit the information below-- Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = major = 1 minor = 3.1 year = 2001

If all rows are in the same "group", rowsum() returns a vector instead of a (1xN) matrix, contrary to documentation: R> print(z <- rowsum(matrix(1:12, 3,4), rep("x",3))) [1] 6 15 24 33 R> dim(z) NULL It worked correctly in version 1.4.0 but was broken by version 1.6.1. I'm currently using 1.7.1 under Solaris 2.8. --please do not edit the information

R> x <- 0. + 1:8000 R> y <- outer(-x, x, pmin) Error: cannot allocate vector of size 1000000 Kb Why does R need to allocate a gigabyte to create an 8000 x 8000 matrix? It doesn't have any trouble with outer(-x, x, "+"). Thanks. -- David Brahm (brahm at alum.mit.edu) Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system = i686, linux-gnu status =

After upgrading to R-2.3.1 on Linux Redhat, I was suprised by this: R> x <- c(721.077, 592.291, 372.208, 381.182) R> sum(x) - 2066.758 [1] 4.547474e-13 Now I understand that floating point arithmetic is not precise, but 1) the result is exactly 0 in R-2.2.1 (patched) on the same machine, 2) .Machine$double.eps = 2.2e-16, so the error seems quite large. Also note I get the same

I'm playing with predict.Arima in the 3/19/02 development snapshot of R-devel. The following produces an error message because x is not of class "ts": R> x <- rnorm(20) R> obj <- arima(x, c(2,0,0)) R> predict(obj) Error in round(x, digits) : Non-numeric argument to mathematical function Granted the documentation for arima says x should be a time-series, but