similar to: R-beta: graphics: ``gamma correction'' -- state / feedback ?

The newest version of R for Unix (version 0.49) is now available (or soon will be) from the following sites. NORTH AMERICA: http://lib.stat.cmu.edu/R/Alpha EUROPE: ftp://ftp.stat.math.ethz.ch/R/ ftp://statlab.uni-heidelberg.de/pub/mirrors/auckland/R/ JAPAN: ftp://ftp.u-aizu.ac.jp/pub/lang/R/ NEW ZEALAND: ftp://stat.auckland.ac.nz/pub/R/ Please

The newest version of R for Unix (version 0.49) is now available (or soon will be) from the following sites. NORTH AMERICA: http://lib.stat.cmu.edu/R/Alpha EUROPE: ftp://ftp.stat.math.ethz.ch/R/ ftp://statlab.uni-heidelberg.de/pub/mirrors/auckland/R/ JAPAN: ftp://ftp.u-aizu.ac.jp/pub/lang/R/ NEW ZEALAND: ftp://stat.auckland.ac.nz/pub/R/ Please

The newest version of R for Unix (version 0.49) is now available (or soon will be) from the following sites. NORTH AMERICA: http://lib.stat.cmu.edu/R/Alpha EUROPE: ftp://ftp.stat.math.ethz.ch/R/ ftp://statlab.uni-heidelberg.de/pub/mirrors/auckland/R/ JAPAN: ftp://ftp.u-aizu.ac.jp/pub/lang/R/ NEW ZEALAND: ftp://stat.auckland.ac.nz/pub/R/ Please

Hi Martin, Great that you follow this. My original intention was to be able to translate colornames to hsv because this would allow using colornames to cut out a certain part of the colorwheel for colorcoding (HSV component H, see my code below) I think internally we might have colors represented as Colornames, ColorIntegers, ColorHexcodes, ColorRGBs, ColorHSVs (ColorCMYs?) however the R-user

Full_Name: Jae Choi Version: 1.6.1 OS: linux (x86) Submission from: (NULL) (142.176.61.245) Hello, Any attempts to access the "hsv" function returns the following type of error: Error in hsv(h = seq(start, ifelse(start > end, 1, 0) + end, length = n)%%1, : color intensity 1.25, not in [0,1] (the above was generated from the demo command: > pie(rep(1, 24), col =

Dear R-developers, I finally got around to install R 1.1.0 but had problems at the `make check' stage. After compiling the released R 1.1.0 version the `make check' stage stopped while checking the examples in base. There was some problem with the quantile function and the check stopped complaining that NA's are not allowed. But I assume that this problem is already known because

Greetings, all I am having difficulty getting the fitdistr() function to return without an error on my data. Specifically, what I'm trying to do is get a parameter estimation for fracture intensity data in a well / borehole. Lower bound is 0 (no fractures in the selected data interval), and upper bound is ~ 10 - 50, depending on what scale you are conducting the analysis on. I read in the

https://bugs.freedesktop.org/show_bug.cgi?id=56546 Priority: medium Bug ID: 56546 Assignee: nouveau at lists.freedesktop.org Summary: crash at the second render when applying gamma correction Severity: critical Classification: Unclassified OS: Linux (All) Reporter: yves at 3delight.com

Third try... > -----Original Message----- > From: Warnes, Gregory R > Sent: Tuesday, February 05, 2002 4:12 PM > To: 'R-bugs' > Subject: layout and piechart diameter problem > > > I've been using layout to create some graphics pages which include pie > charts. (NB: No piechart arguments please, the main chart on the page is > a proper bar chart

Hi all, I've twice tried to send a bug report to r-bugs@biostat.ku.dk , however, the bug report has not shown up in the database, nor does it appear to have been copied to R-devel. One message was sent Tue Feb-05-2002 at 4:12pm EST, I resent at Wed Feb-06-2002 at 12:52 EST. I haven't recieved any error messages or warnings from the mail server, so I'm not sure what is wrong. Is

Full_Name: Daniel Egloff Version: 1.2.1 OS: Linux Redhat 7.0 Submission from: (NULL) (212.35.34.200) Externals in the shared library libc.so.6 not found. See the following R session, with the abort message at the end. > demo(graphics) demo(graphics) ---- ~~~~~~~~ Type <Return> to start : > opar <- par(ask = interactive() && (.Device %in%

Hi everyone, I'm fairly new to R, and I don't have a background in statistics, so please bear with me. ;-) I'm dealing with 2^k factorial designs, and I was just wondering if there's any way to analyze more than two factors of a gage R&R study in R. For example, Minitab has an "expanded gage R&R" function that lets you include up to eight additional factors

I would like to replace a few varaibles within a data frame. For example, in the dataframe below (contrived) I would like to replace the current housesize value only if the Location is HSV. However, I would like to leave the other values intact. I tried "ifelse", but I don't really need the else condition. test_data2_df<-data.frame(Variables=c("SQR

Someone was asking how to do a 16 category piechart in OpenOffice Calc and it appears that it can not be done (which we, probably, should be happy about) but I thought that I'd try it in ggplot2. It works but I then thought I'd like to make the colours more distinctive but fro some reason I don't seem to be able to use manually assigned colours. Can anyone suggest where I'm

Full_Name: David M. Potter Version: 0.64.1 OS: solaris 2.6 Submission from: (NULL) (12.18.36.220) cm.colors() returns an extra element "1": > cm.colors(10) "#7FFFFF" "#99FFFF" "#B2FFFF" "#CCFFFF" "#E5FFFF" "#FFE5FF" "#FFCCFF"

Hello, I've been attempting to fit the data below with an inverse gamma distribution. The reason for this is outside proprietary software (@Risk) kicked back a Pearson5 (inverse gamma) as the best fitting distribution with a Chi-Sqr goodness-of-fit roughly 40% better than with a log-normal fit. Looking up "Inverse gamma" on this forum led me the following post:

Please can someone explain why I seem to get these contradictory results? choose(5,2) [1] 10 gamma(6)/(gamma(3)*gamma(4)) [1] 10 gamma(6)/(gamma(3)*gamma(4)) == choose(5,2) [1] TRUE # all's well so far. # now look what happens: gamma(21)/(gamma(6)*gamma(16)) == choose(20,5) [1] FALSE # check individual terms: gamma(21)/(gamma(6)*gamma(16)) [1] 15504 choose(20,5) [1] 15504 # so they are the

As of 1.4.0, the default colour of pieslices is black. Try piechart(1:3) for instance. The workaround is to use an explicit col="white" argument. (Of course, everything in example(piechart) uses fancy colour schemes, so nobody noticed that the default got changed.) -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N

Ross posted this code: persp(x, y, z, col = cm.colors(10)[floor(9 * hgt + 1)], theta = 35) I hadn't seen the cm.colors function before; it's very nice! I wanted to modify it a bit to allow the start and end colors as well as the max saturation to be specified, and I think I may have turned up a bug in the hsv() function. Here's the evidence of the bug: Look at the results of

Hi All, I'm trying to find out a way to plot multi-panel pie charts. It may not be the best way to present data, but I would still need one. 1. Is anyone aware of some in-built script/function which can do this for me. I'm aware of one given in Deepayan's book, but anything apart from this? 2. I tried using Deepayan's script on following data set but it doesn't seem to work