similar to: Multiple Lorenz curves in one diagram

Dear R users, I'm using the "ineq" package to calculate the values ​​of Gini and Lorenz coefficients and to and plot Lorenz graph. I want to plot on the same diagram, curves from two different populations, that have different "n". How can I do this?   Best regards,   Patricia [[alternative HTML version deleted]]

I am having problem loading packages in the newest version of R (2.13.0) on my Mac. I have tried to install various packages (e.g. lawstat, Rcmdr, car) and load them using the Package Installer and Package Manager menu options but I get the follow error: > library(lawstat) Loading required package: mvtnorm Error: package 'mvtnorm' could not be loaded In addition: Warning

Hi, when I compile with FIXED_DEBUG enabled, I get an error -- both when make tries to build testenc.o and when I try to link my app against the speex lib: lorenz@panelmaker:~/Blackfin/tests/speex_loopthrough$ make bfin-uclinux-gcc -c -g -I/home/lorenz/include -o main.o main.c bfin-uclinux-gcc -gl -elf2flt -L/home/lorenz/lib -o speex_through main.o -lspeex_debug -lspeexdsp -lm

Hi Jean-Marc, after some problems with getting svn to work here I finally made it. Problem is, you write that I cannot use libspeex and libspeexdsp at the same time now -- because I use a "live" system (mic-in -> speex_enc -> speex_dec -> headphone out) and I can run the AD1836 audio codec on 48 kHz only, I cannot use my program now (because I use speex resampling...) So I

Jean-Marc, Frank, I have stumbled across a similar situation regarding optimization. I seem to have a similar setup as Frank does with a fixed 48khz in and out. The wideband mode and ultra-wideband modes are really what I?m looking for. I have a test application that reads audio, downsample to 16kHz (or 32kHz), speex encode, speex decode, upsample back to 48kHz, and playback. If I remove

Hello, I would like to build a Lorenz curve and calculate a Gini coefficient in order to find how much parasites does the top 20% most infected hosts support. Here is my data set: Number of parasites per host: parasites = c(0,1,2,3,4,5,6,7,8,9,10) Number of hosts associated with each number of parasites given above: hosts = c(18,20,28,19,16,10,3,1,0,0,0) To represent the Lorenz curve: I

Hello guys, sorry for cross-posting, but imho it could be an error in my rsnapshot setup as well as in my rsync setup. If there is a solution on one of these mailing-lists i will post it to the other one as well. ok? here is my question: when running rsnapshot, my exclude filter is being ignored, but i don't see why. grep -v "#" /etc/rsnapshot-debx40.conf | grep . gives

Dear all, is this a bug or do a miss something (this concerns version 0.63.1 on Linux)? > boxplot (c (1, 2, 3, 4, 5), ylim= c (-5, 5)) Warning: parameter "ylim" couldn't be set in high-level plot() function > boxplot (c (1, 2, 3, 4, 5), pars= list (ylim= c (-5, 5))) Warning: parameter "ylim" couldn't be set in high-level plot() function > and actually in

Folks, I'm a bit puzzled by the fact that if I generate 100,000 standard normal variates using rnorm() and perform the Jarque-Bera on the resulting vector, I get p-values that vary drastically from run to run. Is this expected? Surely the p-val should be close to 1 for each test? Are 100,000 variates sufficient for this test? Or is it that rnorm() is not a robust random number generator?

Hi, What package(s) must I install so that I can apply the Levene' test in my data? I tried 'lawstat' but dependency ?VGAM? is not available for this package. I am using Rstudio Version 1.1.383 Tks [[alternative HTML version deleted]]

Hi, I tried to figure out what the problem is -- but it seems to be totally different from what I expected. My status at the moment is: - computing results for "generic" and "Blackfin ASM" versions of the DIV32_16 function are the same, there is no "algorithmic bug" - Instead, there seems some sort of memory corruption: When I comment out the DIV32_16 function

Dear all, Many thanks to all who always so quickly respond with helpful hints! Currently I am working with R 0.63.1 on SuSE 5.2 which I installed this morning within about half an hour: my deepest compliments to the developpers! (I had still 0.62.2 before.) This time I am trying the following: > xy <- list (a= c (1, 2, NA), b= c (2, 3)) > list.name <- "xy" > get

Dear all, I would like to use the biological symbols for male and female as plotting symbols in a scatterplot (ideally filled and non-filled). R does not seem to have these symbols using pch= in plot() nor are they implemented via expression() or at least I did not find them. I found that the symbols are e.g. available in the wasysym and the marvosym package in LaTeX. I have coded two very rough

Dear all, I would like to use the biological symbols for male and female as plotting symbols in a scatterplot (ideally filled and non-filled). R does not seem to have these symbols using pch= in plot() nor are they implemented via expression() or at least I did not find them. I found that the symbols are e.g. available in the wasysym and the marvosym package in LaTeX. I have coded two very rough

I don't think, this has been answered: > I'm trying to run a 3-way within-subject anova in lme with 3 > fixed factors (Trust, Sex, and Freq), but get stuck with handling > the random effects. As I want to include all the possible random > effects in the model, it would be something more or less > equivalent to using aov > > > fit.aov <- aov(Beta ~ >

Hi all, should it be considered a bug that Element.getDimensions returns the offsetWidth and offsetHeight properties from elemens having not display none, but clientWidth and clientHeight from elements with display none? Or is it a feature? Regards Lorenz

Hi Jean-Marc, yes, problem exists in narrowband-mode, too. I already twiddled with max_gain, but did not have real success. I changed line 337 of ltp.c (function pitch_gain_search_3tap_vq) if (sum>best_sum && gain_sum<=max_gain) { to if (sum>best_sum && gain_sum<max_gain) { -- that stabilizes speex for 2000 Hz and 2200 Hz input on quality setting 7 (23800

Hi, I just started to examine the DIV32_16 function (Blackfin ASM version), and wondered why the return value of the function inside 'fixed_bfin.h' is of type 'spx_word16_t', but the local variable 'res' which is returned by this function is of type 'spx_word32_t'. Is this a trick of optimization or a bug? (Same question for PDIV32_16 and MAX16, too!) best

I've been attempting to understand the one-sample run test for randomness. I've found run.test{tseries} and run.test{lawstat}. Both use a large sample approximation for distribution of the total number of runs in a sample of n1 observations of one type and n2 observations of another type. I've been unable to find R code to generate the exact distribution and would like to see how

<body bgcolor="#ffffff" background="https://img.web.de/v/p.gif" class="bgRepeatYes" style="background-repeat: repeat; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-size: 9pt; padding-left: 0px;" ><p>Hi Jean-Marc,</p> <p>&nbsp;</p> <p>yes, I tested with floating point. It is only a fixed point