search for: hinv

...t; basic.ci<-get("basic.ci",environment(boot)) > getAnywhere(basic.ci) A single object matching `basic.ci' was found It was found in the following places .GlobalEnv registered S3 method for basic from namespace boot namespace:boot with value function (t0, t, conf = 0.95, hinv = function(t) t) { qq <- norm.inter(t, (1 + c(conf, -conf))/2) out <- cbind(conf, matrix(qq[, 1], ncol = 2), matrix(hinv(2 * t0 - qq[, 2]), ncol = 2)) out } <environment: namespace:boot> Why did getAnywhere not "see" basic.ci in the environment from which...

Hello. I am trying to invert a matrix, and I am finding that I can get different answers depending on whether I set LAPACK true or false using "qr". I had understood that LAPACK is, in general more robust and faster than LINPACK, so I am confused as to why I am getting what seems to be invalid answers. The matrix is ostensibly the Hessian for a function I am optimizing. I want to get

...boot library. For this CIs we need to compute a variance estimate of the statistic (here correlation coeff) from each boostrap sample. There are 2 important points, I think: (1) We need to do a fisher transformation (atanh(x)) to correct for non-normality, this can be done easily be specifying h, hinv, and hdot parameteres in the boot.ci call. (2) an estimate for the variance is (as far as I remember) 1-correlation2)2/n (For fisher transformed data, an estimator is: 1/(n-3)) do you think, this is the correct way: library(boot) fisher <- function(r) 0.5*log((1+r)/(1-r)) fisher.dot <- func...

...://openbsd.rug.ac.be/pub/OpenBSD/OpenSSH/portable/ don't install error message : ./configure >> checking for gcc... no >> checking for cc... cc >> checking for C compiler default output... configure: error: C compiler cannot create executables any suggestion ? thanks hinv **** FPU: MIPS R10010 Floating Point Chip Revision: 0.0 CPU: MIPS R10000 Processor Chip Revision: 2.5 1 175 MHZ IP28 Processor Main memory size: 96 Mbytes Secondary unified instruction/data cache size: 1 Mbyte Instruction cache size: 32 Kbytes Data cache size: 32 Kbytes Integral SCSI controller 0:...

Hi all. This is my first post in this forum. Finally I find a forum in the web about R, although is not in my language. Now I'm working with Bootstrap CI. I'd like to know how I can calculate a Bootstrap CI for any statistic, in particular, for Kurtosis Coeficient. I have done the following code lines: > library(boot) > x=rnorm(20) > kurtosis=function(x)