nVariables {MoTBFs} | R Documentation |
Number of Variables in a Joint Function
Description
Compute the number of variables which are in a 'jointmotbf' object.
Usage
nVariables(P)
Arguments
P |
An |
Value
A "character"
vector with the names of variables of the function.
Examples
# 1. EXAMPLE
## Dataset
## Load the mnormt package to generate a multinormal dataset
## Dataset
Mean <- 0; nVar <- 2; ro <- 0
varcov <- matrix(c(rep(c(1, rep(ro, nVar)), nVar-1),1), nrow=nVar)
means <- rep(Mean, nVar)
X <- rmnorm(100,means,varcov)
data <- standardizeDataset(data.frame(X))
## Joint function
dim <-c(3,2)
param <- parametersJointMoTBF(data, dimensions = dim)
P <- jointMoTBF(param)
P
## Variables
nVariables(P)
##############################################################################
## MORE EXAMPLES #############################################################
##############################################################################
## Dataset
Mean <- 0; nVar <- 3; ro <- 0
varcov <- matrix(c(rep(c(1, rep(ro, nVar)), nVar-1),1), nrow=nVar)
means <- rep(Mean, nVar)
X <- rmnorm(100,means,varcov)
data <- standardizeDataset(data.frame(X))
## Joint function
dim <- c(2,1,3)
param <- parametersJointMoTBF(data, dimensions = dim)
P <- jointMoTBF(param)
## Variables
nVariables(P)
[Package MoTBFs version 1.2 Index]