similar to: Resumen de R-help-es, Vol 19, Envío 28

Hola, paso el mini programita q estoy viendo, lo q me llama la atencion es una parte donde se definen las funciones. Probe primero meter adentro del boots la estadistica a estimar usando directamente gini(varible, pesos) pero no me dejo. Vi q en el ej del manual de boots, siempre define antes la funcion, entonces probe definir antes una funcion haciendo grini<-function(x) {gini(variable,

Hola, Tengo problemas a la hora de cargar un archivo que originalmente está en SPSS. Trabajo con Fedora y uso R mediante el plugin Rgedit en gedit. Además en Fedora no tengo SPSS, sino PSPP Para cargar el archivo he probado estas dos cosas (escribo también el mensaje de error que me genera R): >library_(foreign) >read.spss("guille.sav",to.data.frame = T) Error en

On Sun, 21 Aug 2016 16:15:35 +0000 Parag Khuraswar <parag_k at citilindia.com> wrote: > Hi Rowland, > > Thanks for reply, > > I'm using:- > Samba - SAMBA4 Domain Controller > OS - RHEL 6.8 64bit > Samba Version - Version 4.4.5 (compiled) > Samba config file:- >

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

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:

Hi, I would like to change permissions of /dev/sda* and /dev/hda* files to 0644. I added the following rules to 99-udev.rules files: KERNEL=="[hs]d*", OWNER="root" GROUP="disk", MODE="0644 After restarting udev by strat_udev, I checked that permissions were changed: [root at gini rules.d]# ll /dev/sda* brw-r--r-- 1 root disk 8, 0 Sep 2 2009 /dev/sda

Hi all, I apologies in advance if I am missing something very simple here, but since I failed at resolving this myself, I'm sending this question to the list. I would appreciate any help in understanding how the rpart function is (exactly) computing the "improve" (which is given in fit$split), and how it differs when using the split='information' vs split='gini'

Hi Everyone, >From windows 2K, machine I could see Samba server but I can't get its share. I tried to follow the instruction given at http://samba.planetmirror.com/samba/ftp/docs/Samba24Hc13.pdf to resolve the problem. nmblookup -U 127.0.0.1 _SAMBA_ and nmblookup -B 10.10.255.255 real-samba-server-name fails for me but nmblookup -U 127.0.0.1 real-samba-server-name

Hi everybody, If I am correct, you can compare a model with random effect with the same model without the random effect by using the nlme function, like this: no.random.model <- gls(Richness ~ NAP * fExp, method = "REML", data = RIKZ) random.model <- lme(Richness ~NAP * fExp, data = RIKZ, random = ~1 | fBeach, method = "REML")

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:

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( )

Well apparently this has nothing to do with the gini() command. I cannot get it to work for something as simple as sum() Here is the little example I am playing with, maybe someone can help me find my error: a<-c("A","B","C","A","B","C","A","A","C","B")

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,

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

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

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 all Samba enthusiasts. I am a noob w.r.t. samba configuration and just happened to use it on Solaris systems by creating conf files using copy-paste :-). This is just to convey that I'm no advanced user and might need help with the solutions / alternatives to come. Some background => Here is my smb.conf: === [global] workgroup = <company domain> server string = Samba

A few weeks back I posted that the subset feature of rpart was not working when predicting a categorical variable. I was able to figure out a simple solution to the problem that I hope can be included in future editions of rpart. I also include a fix for another related problem. The basic problem is that when predicting a categorical using a subset, the subset may not have all the categories

(Apparently, I posted this to the wrong place. I am hopefully posting this is the correct place now. If not, please advise.) A few weeks back I posted that the subset feature of rpart was not working when predicting a categorical variable. I was able to figure out a simple solution to the problem that I hope can be included in future editions of rpart. I also include a fix for another related