DImodels (version 1.3.2)

design_a: The "design_a" Dataset

Description

This dataset contains a set of proportions p1 to p9 where each row sums to 1. It is used as the design matrix for simulating other datasets in the DImodels package.

Usage

data("design_a")

Format

A data frame with 206 observations on the following 11 variables:

community

A numeric vector identifying each unique community, i.e., two rows with the same community value also share the same set of p1 to p9 values.

richness

A numeric vector indicating the number of species in the initial composition, i.e., the number of proportions from p1 to p9 that are >0.

p1

A numeric vector indicating a proportion (of species 1).

p2

A numeric vector indicating a proportion (of species 2).

p3

A numeric vector indicating a proportion (of species 3).

p4

A numeric vector indicating a proportion (of species 4).

p5

A numeric vector indicating a proportion (of species 5).

p6

A numeric vector indicating a proportion (of species 6).

p7

A numeric vector indicating a proportion (of species 7).

p8

A numeric vector indicating a proportion (of species 8).

p9

A numeric vector indicating a proportion (of species 9).

Details

The columns p1 to p9 form a simplex space.

Examples

## Load the design_a data
  data(design_a)
## View the first five entries
  head(design_a)
## Explore the variables in design_a
  str(design_a)

## Check that the proportions sum to 1 (required for DI models)
## p1 to p9 are in the 3rd to 11th columns in design_a
  design_a_sums <- rowSums(design_a[3:11])
  summary(design_a_sums)