similar to: Writing R Extensions : A new R package for Gini Index decomposition to prupose

Hello again, Cruisecontrolrb works well now on my XP box but for the following problem: I have set up rails_rcov so that I can generate code coverage automatically at every build. Following the manual, I have a custom task that copies rcov output to a specific folder (d:\work\ccrob\artifacts) I have set up the environment CC_BUILD_ARTIFACTS to /work/ccrob/artifacts using the tip given in another

Hi, Thanks for your help. It's true. I had to point files to the arm files. i have modified my command line by adding --with-ogg-libraries=/armbuild/lib/ . Here is the ogg.h file compiled for arm. But now i have an other error : source='speexdec.c' object='speexdec.o' libtool=no \ depfile='.deps/speexdec.Po' tmpdepfile='.deps/speexdec.TPo' \

Hi Conrad, Thanks for your help. I am unlucky. No i have this following error : source='speexdec.c' object='speexdec.o' libtool=no \ depfile='.deps/speexdec.Po' tmpdepfile='.deps/speexdec.TPo' \ depmode=gcc3 /bin/sh ../depcomp \ arm-linux-gcc -DHAVE_CONFIG_H -I. -I. -I.. -I../include -I../libspeex -I/usr/include -O2 -fno-exceptions -O2

Hi all, I am following the README.arm from Simon to cross compile linphone from my PC to an arm architecture. But i encounter problems about the ogg header. I have this following error when i write this line : ./configure --prefix=/usr --host=arm-linux --with-gnu-ld --disable-static --enable-fixed-point --enable-arm-asm the error is : . . make[2]: entrant dans le r?pertoire ?

** High Priority ** I have been trying to read an SPSS file into R using read.spss ("C:/Documents and Settings/Roderick Harrison/My Documents/RWORK/ihisdat.sav", use.value.labels = TRUE, to.data.frame = FALSE, max.value.labels = 500, trim.factor.names = FALSE, trim_values = TRUE, reencode = NA, use.missings = to.data.frame) Each time (at least 5 or 6 by now) I get the following

If I use the Ineq library and the Gini function in this way: >Gini(c(100,0,0,0)) I obtain the result 0.75 instead of 1 (that is the perfect inequality). I think Gini's formula in Ineq is based on a formula as reported here: http://mathworld.wolfram.com/GiniCoefficient.html but in the case of perfect inequality: x_1=.......=x_n-1 =0 x_n>0 these formula are equal to 1 - 1/n, not to

Good Morning, I am running R-2.6.1-1.rh5.i386.rpm under RED HAT Enterprise Linux 5, but I get this message error /usr/bin/ld/: cannot find -lgfortran when trying installing R CMD INSTALL ade4_1.4-5.tar.gz. Please help me to cope with this problem. Best regards, Souleymane _________________________________________________________________ [[alternative HTML version deleted]]

Hello dear R-help members, I would appreciate any help in understanding how the rpart function computes the "improve" (which is given in fit$split) when using the split='information' parameter. Thanks to Professor Atkinson help, I was able to find how this is done in the case that split='gini'. By following the explanation here:

Hello, Thank you very much for your help. How can I draw a Lorenz curve with several replications ? Here is an example with 4 replications: hosts=c(23,31,19,10,7,7,3, 39,40,8,3,6,2,2, 47,17,8,10,6,11,1, 30,30,10,0,15,15,0) parasites=rep(seq(from=0,to=6,by=1),4) replications=c(rep(1,7),rep(2,7),rep(3,7),rep(4,7)) test <- cbind(parasites,hosts,replications) Should I

Hi there, I am trying to compute Gini coefficients for vectors containing income classes. The data I possess look loke this: yit <- c(135, 164, 234, 369) piit <- c(367, 884, 341, 74 ) where yit is the vector of income classes, and fit is the vector of associated frequencies.(This data is from Rustichini, Ichino and Checci (Journal of Public Economics, 1999) ). In ineq pacakge, Gini( )

Hey there, I was wondering if someone could tell me if there's a package or command that allows me to compute a GINI coefficient using a vector of weights. Also the coefficient should be bias corrected. Diego Rojas [[alternative HTML version deleted]]

Dear all, I am working with randomForest package and I am interested in examining the "Gini importance" measures that are used as a general indicator of feature relevance. Is there a possibility of getting the Gini measure that is being estimated in each tree by the output of the getTree() function? Thanks a lot, Chrysanthi [[alternative HTML version deleted]]

Dear List, I am unsure if this is specifically a R question or a stats question? I thought i would ask here and if i get no replies it will answer that! I am trying to calculate Gini coefficients in R, based on a slight modification of the typical equation that i have seen in a paper. -------------- next part -------------- A non-text attachment was scrubbed... Name: PastedGraphic-2.pdf Type:

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

Hi listers, Does it necessary to install any package in order to use the GINI or INEQ functions. If I use the following command the R tells me that didn't find the GINI function. x<-c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261) G<-gini(x) Thanks in advance, Marcio -- View this message in context:

I have a data set that contains income data and a group identifier. Sort of like: DATA Group,Income A,2300 B,6776 A,6668 A,6768 B,9879 C,5577 A,7867 (etc),(etc) I am trying to compute the gini coefficient for each group. I have tried the following and none seem to do the trick: 1) attach(DATA) by(DATA, group, function(x) gini(income)) 2) attach(data) tapply(income, group,

Hi. I have some data from a survey w/c include income data. Was not quite sure how to generate the gini index on these data. Jose Ramon Albert Statistical Research and Training Center www.srtc.gov.ph -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear R-users, I'm working with the Rpart package and trying to understand how the procedure select the best split in the case the method "class" and the splitting index "Gini" are used. In particular I'd like to have look to the source code that works out the best split for un unordered predictor. Does anyone can suggest me which functions in the sources I should

Dear All, I wish to calculate the Gini index (ineq from same package) and some other indices for the diameter distribution of each plot (df dgtot). dgtot: IDPlot Diameter(cm) 1 4 34.0 2 4 23.0 3 4 38.0 ... 51 5 16.0 52 5 8.0 53 5 9.0 ... 5301 140 25.0 5302 140 12.0 5303 140 7.0 I use: >

Dear R helpers: I have another question regarding "R" command. It is also measuring Credit Scoring. I need to measure the classifying method for customer's credit score. (ex. regression line by Fisher) If credit card company already classify their customers credit : Good customers / Bad customers [by using regression line; ex) inside of line: Good/ outside: Bad] And I found