MoTBFs (version 1.2)

jointCDF: Cumulative Joint Distribution

Description

Functions to compute the multivariate cumulative distribution. It uses a grid data over the ranges of variables in the dataset to calculate the cumulative values.

Usage

jointCDF(data, grid)
posGrid(nrows, data, grid)

Arguments

data

The dataset as data.frame class.

grid

a data frame with the select rows to include in the grid

nrows

Number of rows.

Details

jointCDF() is the main function which uses the internal function posGrid().

Examples

# NOT RUN {
## 1. EXAMPLE
## Dataset with 2 variables
X <- data.frame(rnorm(100), rnorm(100))

## Grid dataset
gridX <- sapply(1:ncol(X), function(i) seq(min(X[,i]), max(X[,i]), length=10))
gridPoints <- expand.grid(gridX) ## expand gridX
ncol(gridPoints)
nrow(gridPoints)

## Joint cumulative values
jointCDF(data = X, grid = gridPoints)

## 2. EXAMPLE
## Dataset with 3 variables
X <- data.frame(rnorm(100), rexp(100), rchisq(100, df=2))

## Grid dataset
gridX <- sapply(1:ncol(X), function(i) seq(min(X[,i]), max(X[,i]), length=10))
gridPoints <- expand.grid(gridX) ## expand gridX
ncol(gridPoints)
nrow(gridPoints)

## Joint cumulative values
jointCDF(data = X, grid = gridPoints)

# }