| testMatX | R Documentation | 
Construction of test data
testMatX(...)
testResponse0(x, beta = rep(1, ncol(x)))
testResponse(y0, k = 1:4, .sd = sd(y0))
testRook(n)
... | 
 matrices  | 
x | 
 a matrix  | 
beta | 
 a vector with parameters  | 
y0 | 
 a response vector (numeric)  | 
k | 
 values in 1 to 4 (integer)  | 
.sd | 
 the standard deviation used for random numbers  | 
n | 
 dimension  | 
Weihs / Mersmann / Ligges (2014): Foundations of Statistical Algorithms: With References to R Packages
## Examples from Weihs et. al. (2014) p. 108
library("Matrix")
testMatX(Matrix(998), Matrix(998))
Z <- Matrix(c(998, 0, 0, 0), 2, 2)
testMatX(Z, Z)
testResponse0(testMatX(Matrix(1)))
library("magrittr")
Matrix(1) %>% testMatX %>% testResponse0 %>% testResponse
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.