Description Usage Arguments Examples
This function allows you to calculate the permuted significance of CA total inertia. Number of permutation set at 1000 by default, but can be increased by the user.
1 | sig.tot.inertia.perm(data, B = 1000)
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data: |
name of the dataset (must be in dataframe format). |
B: |
number of permutations (1000 by default). |
1 2 | data(greenacre_data)
sig.tot.inertia.perm(greenacre_data, 10000) #Returns the density curve of the permuted total inertia (using 10000 permutations). Observed total inertia and the 95th percentile of the permuted inertia are also displayed for testing the significance of the observed total inertia.
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