mvcs: Multivariate Continuous Stratification
In ozjimbob/ecbtools: Environmental Change Biology Tools

Description Usage Arguments Details Value Author(s) See Also

Selects a subsample of a data frame where the distribution of values of a set of variables in the subset match those of the input data frame.

1	mvcs(data, number, variables, iter = 200)

`data`	The data frame to be subsampled.
`number`	The number of rows of data to be returned, ie. the sample size.
`variables`	A vector containing the names of variables to be used for the stratification.
`iter`	The number of iterations to be performed to find the optimal subset.

This function uses a Cramer test to select rows of an input data frame, where the distribution of values across multiple variables closely matches the distribution of input data. For example, you may have a large input data set of geographic points, where elevation is skewed towards low values, and rainfall is skewed towards high values. This function returns a subset of the data, of chosen size, where the rainfall and elevation have distributions matching those of the input data.

This function works only on continuous variables, for which a statistical distribution can be calculated. For stratification within factors, use mvs.

A data frame.

Grant Williamson

mvs

ozjimbob/ecbtools documentation built on Jan. 18, 2021, 7:39 p.m.