sig.dim.perm {CAinterprTools} | R Documentation |
This function calculates the permuted significance of a pair of selected CA dimensions. Number of permutation set at 999 by default, but can be increased by the user. A scatterplot of the permuted inertia of a pair of selected dimensions is produced. Permuted p.values are reported in the axes' labels and are also returned in a dataframe.
sig.dim.perm(data, x = 1, y = 2, B = 999)
data |
Name of the dataset (must be in dataframe format). |
x |
First dimension whose significance is calculated (x=1 by default). |
y |
Second dimension whose significance is calculated (y=2 by default). |
B |
Number of permutations (999 by default). |
The function returns a dataframe storing the permuted p-values of each CA dimension.
data(greenacre_data)
#Produces a scatterplot of the permuted inertia of the 1 CA dimension
#against the permuted inertia of the 2 CA dimension.
#The observed inertia of the selected dimensions is displayed as a large red dot;
#pvalues are reported in the axes labels (and are stored in a 'pvalues' object).
pvalues <- sig.dim.perm(greenacre_data, 1,2, B=99)