| design_a {DImodels} | R Documentation | 
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)