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)