https://github.com/cran/multivariance
Revision 71cc2d66e2e947a4fd1ea1041711e731420b36ef authored by Björn Böttcher on 19 March 2019, 14:00:03 UTC, committed by cran-robot on 19 March 2019, 14:00:03 UTC
1 parent 2ffcc68
Tip revision: 71cc2d66e2e947a4fd1ea1041711e731420b36ef authored by Björn Böttcher on 19 March 2019, 14:00:03 UTC
version 2.1.0
version 2.1.0
Tip revision: 71cc2d6
dep_struct_iterated_13_100.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/multivariance-functions.R
\docType{data}
\name{dep_struct_iterated_13_100}
\alias{dep_struct_iterated_13_100}
\title{example dataset for \code{\link{dependence.structure}}}
\format{\code{matrix} 13 variables (columns), 100 independent samples (rows)}
\usage{
dep_struct_iterated_13_100
}
\description{
It was generated by \preformatted{
set.seed(532333356)
N = 100
x = matrix(sample.int(2,10*N,replace = TRUE)-1,ncol = 10)
for (i in c(2,5,9)) x = cbind(x,(rowSums(as.matrix(x[,1:(i-1)])) %% 2) == x[,i])
dep_struct_iterated_13_100 = x
save(dep_struct_iterated_13_100,file ="dep_struct_iterated_13_100.rda")
}
}
\details{
To avoid irritation, note that the seed is just a simple integer hash value of the variable name.
}
\keyword{datasets}
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