search for: stdx

Displaying 3 results from an estimated 3 matches for "stdx".

Did you mean: std
2001 Nov 05
1
Problem to transfer Splus functions
...# wt vecteur des poids #============================================================ nc <- ncol(x) nr <- nrow(x) nam <- dimnames(x) wt <- wt/sum(wt) mx <- wt %*% x xx <- t(t(x) - as.vector(mx)) rwt <- sqrt(wt) y <- rwt * xx #.. integration des poids.. stdx <- sqrt(diag(t(y) %*% y)) if(ctr) x <- xx x <- t(t(x)/stdx) dimnames(x) <- nam attr(x, "std") <- stdx x } ca mg cl so4 hco3 co2 c te deb 62.8 3.5 1.75 27.5 173 2.93 300 10.40 0.092 62.8 4.0 1.65 27.0 177 2.92 300 10.40 0.490 64.5 3.6 1.65 28.5 17...
2002 Mar 08
1
Matrix multiplication problem
...x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R code is below: rda <- function(y, x, sqroot=FALSE, stdy=FALSE, stdx=FALSE) { y <- as.matrix(y) #species data matrix x <- as.matrix(x) #environmental or constraining variables n <- length(y[,1]) #number of observations if (stdy==FALSE){ y <- scale(y, center=TRUE, scale=FALSE) } else { y <- scale(y, center=TRUE, s...
2010 Feb 10
2
Total least squares linear regression
Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a