search for: 0.5229

I tried to bootstrap the correlation between two variables x1 and x2. The resulting distribution has two distinct peaks, how should I interprete it? The original code is attached. Y. C. Tao ---------------- library(boot); my.correl<-function(d, i) cor(d[i,1], d[i,2]) x1<-c(-2.612,-0.7859,-0.5229,-1.246,1.647,1.647,0.1811,-0.07097,0.8711,0.4323,0.1721,2.143,

Hi Dear All, This is a function which contains Covariance Ratio and Likelihood Distance values (CVRi, LDi). i want to compute the all row's values, that is run this function for nrow(X) times. The X and Y matrices are;

Hi Andrew, > No. Duncan suggested that he could hitch a ride with us through France. The problem is, we're not driving to Spain at all and there doesn't appear to be any place to transfer. > > The point is, you're not going to be able to leverage most of a CFG-based optimizing compiler if don't use the CFG to express control flow. when Chris first came up with his

On Jun 14, 2011, at 1:07 AM, Duncan Sands wrote: > Hi Andrew, > >> No. Duncan suggested that he could hitch a ride with us through France. The problem is, we're not driving to Spain at all and there doesn't appear to be any place to transfer. >> >> The point is, you're not going to be able to leverage most of a CFG-based optimizing compiler if don't use

On Jun 13, 2011, at 12:29 AM, John McCall wrote: > > On Jun 12, 2011, at 11:24 PM, Bill Wendling wrote: > >> On Jun 12, 2011, at 4:40 PM, John McCall wrote: >> >>> On Jun 12, 2011, at 2:14 PM, Cameron Zwarich wrote: >>> >>>> On Jun 12, 2011, at 1:25 AM, Duncan Sands wrote: >>>> >>>>> Hi Sohail, >>>>>

I have found the use of save( ) and attach( ) when supported by a pair of functions written by my colleague John Miyamoto, move( ) and rm.sv( ) quite useful in managing (1) collections of useful homebrew functions, (2) project workspaces, and (3) "packages" under development. An .Rdata file containing these and other handy functions together with a brief supporting document can be