similar to: KhmaladzeTest in quantreg

Hello. I am a beginer in R and I can not implement the KhmaladzeTest in the following command. Please help me!!!!!!!!!!! PD: I attach thw results and the messages of the R program R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) ISBN 3-900051-07-0 R es un software libre y viene sin GARANTIA ALGUNA. Usted puede redistribuirlo bajo ciertas

Hey, My dataset has 1 dependent variable(Logloss) and 7 independent dummy variables(AS,AM,CB,CF,RB,RBR,TS) , it's attached in this email. The problem is I cant finish Khmaladze test because there's an error "Error in switch(mode(x), "NULL" = structure(NULL, class = "formula"), : invalid formula" which I really dont know how to fix. My R version is 2.7.2.

I have library in development with a function that works when called from the top level, but fails under R CMD check. The paricular line of failure is rsum <- rowSums(kmat>0) where kmat is a dsCMatrix object. I'm currently stumped and looking for some ideas. I've created a stripped down library "ktest" that has only 3 functions: pedigree.R to create a pedigree or

Hello, I have noticed a bug with LSSVM implementation in R. It could be a bug with the LSSVM itself that causes this problem. I thought I should post this message to see if anyone else is familiar with this problem and explain why the result is different for odd and even number of cases. Once the hyperplane is found using LSSVM, the prediction results vary when you predict odd or even number of

Hello, Sometimes when creating hard links to the rsync destination directory, it seems like the new directory (created from the cp -al command) ends up with all the data. This causes a problem in the sense that if the rsync destination directory had 21GB, after the cp -al command, it ends up having only 8mb, then the rsync source directory determines that it now requires 21.98GB to update the

Dear all, I have a function MYFUN which depends on 3 positive parameters TETA[1], TETA[2], and TETA[3]; x belongs to [0,1]. I integrate the function over [0,0.1], [0.1,0.2] and [0.2,0.3] and want to choose the three parameters so that these three integrals are as close to, resp., 2300, 4600 and 5800 as possible. As I have three equations with three unknowns, I expect the exact fit, i.e., the SS

Hello: I have an two factorial random block design. It's a ecology experiment. My two factors are, guild removal and enfa removal. Both are two levels, 0 (no removal), 1 (removal). I have 5 blocks. But within each block, it's unbalanced at plot level because I have 5 plots instead of 4 in each block. Within each block, I have 1 plot with only guild removal, 1 plot with only enfa removal,

On 11/25/2013 06:27 PM, Gerardo Exequiel Pozzi wrote: > On 11/25/2013 04:39 PM, Thomas Schmitt wrote: >> Hi, >> >> Gerardo Exequiel Pozzi wrote: >>> Looks like there is something beyond LBA 65535 (As Mattias confirmed) >> >> I wanted to ask him now, whether this was already with >> version 6. >> But meanwhile he reported that it was 5.

Hi all! I tried to perform Shapiro-Wilk test for my sample of 243 values. > Us [1] -10.4 -13.1 -12.2 38.1 -18.8 -13.3 -11.7 29.3 49.7 6.8 12.7 16.3 [13] 5.8 -0.7 -29.4 4.1 38.8 -1.4 8.8 15.6 32.9 -5.3 19.1 35.8 [25] 4.0 -1.5 0.6 -4.2 -10.0 -4.0 1.1 48.9 -21.0 -5.3 5.8 -10.8 [37] 21.9 8.2 -3.2 -3.9 -2.3 12.6 -4.7 -8.0 11.8 27.4 -9.5 -20.8 [49]

Hello, probably it is too late to be involved in GSoC, by I want discuss following idea: KLEE can generate tests only for main function level without any modifications of original code. It passes args specified by command line. I want implement automatic testcase generation for any imported function from tested code without its modification. First: parsing test code would collect input/output

Ok I made Jarque-Bera test to the residuals (merv.reg$residual) library(tseries) jarque.bera.test(merv.reg$residual) X-squared = 1772.369, df = 2, p-value = < 2.2e-16 And I reject the null hypotesis (H0: merv.reg$residual are normally distributed) So I know that: 1 - merv.reg$residual aren't independently distributed (Box-Ljung test) 2 - merv.reg$residual aren't indentically

Hi! I try to explain the efffect of (1) forest where i took samples's soils (* Lugar*: categorical variable with three levels), (2) nitrogen addition treatments (*Tra*: categorical variable with two levels) on total carbon concentration's soil samples (*C: *continue* *variable) during four months of sampling (*Time:* categorical and ordered variable with four levels). I fitted the

Dear all, I have tried to consider a correlation structure in lme (package lme4), but without success. I have used something like: > risul<-lme(y~x+ z , data=mydata, random=~ x | g, correlation = corAR1()) but the result is the same as: > risul<-lme(y~x+ z , data=mydata, random=~ x | g). Can anybody help me? Antonella ************************************************** Prof.

Hi. HELP! I read: :-) http://www.samba.org/samba/docs/man/domain-member.html#domain-member-server (Which notes, "This is a rough guide to setting up Samba-3 with Kerberos authentication against a Windows 200x KDC. A familiarity with Kerberos is assumed." Is there "A guide to familiarity with Kerberos as a primer for Samba configuration" somewhere?) :-) This thread

flight 21641 linux-3.10 real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/21641/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: test-amd64-i386-pv 18 leak-check/check fail REGR. vs. 21026 test-amd64-i386-qemut-rhel6hvm-intel 11 leak-check/check fail REGR. vs. 21026 test-amd64-i386-qemuu-rhel6hvm-intel 11