InPosition (version 0.12.7.1)

epCA.inference.battery: epCA.inference.battery: Inference tests for Correspondence Analysis (CA) via InPosition.

Description

Correspondence Analysis (CA) and a battery of inference tests via InPosition. The battery includes permutation and bootstrap tests.

Usage

epCA.inference.battery(DATA, DESIGN = NULL, make_design_nominal = TRUE, 
	masses = NULL, weights = NULL, hellinger = FALSE, symmetric = TRUE, 
	graphs = TRUE, k = 0, test.iters = 100, critical.value = 2)

Arguments

DATA

original data to perform a CA on.

DESIGN

a design matrix to indicate if rows belong to groups.

make_design_nominal

a boolean. If TRUE (default), DESIGN is a vector that indicates groups (and will be dummy-coded). If FALSE, DESIGN is a dummy-coded matrix.

masses

a diagonal matrix or column-vector of masses for the row items.

weights

a diagonal matrix or column-vector of weights for the column it

hellinger

a boolean. If FALSE (default), Chi-square distance will be used. If TRUE, Hellinger distance will be used.

symmetric

a boolean. If TRUE (default) symmetric factor scores for rows and columns are computed. If FALSE, the simplex (column-based) will be returned.

graphs

a boolean. If TRUE (default), graphs and plots are provided (via epGraphs)

k

number of components to return.

test.iters

number of iterations

critical.value

numeric. A value, analogous to a z- or t-score to be used to determine significance (via bootstrap ratio).

Value

Returns two lists ($Fixed.Data and $Inference.Data). For $Fixed.Data, see epCA, coreCA for details on the descriptive (fixed-effects) results.

$Inference.Data returns:

components

Permutation tests of components. p-values ($p.vals) and distributions of eigenvalues ($eigs.perm) for each component

fj.boots

Bootstrap tests of measures (columns). See boot.ratio.test output details.

omni

Permutation tests of components. p-values ($p.val) and distributions of total inertia ($inertia.perm)

Details

epCA.inference.battery performs correspondence analysis and inference tests on a data matrix. If the expected time to compute the results (based on test.iters) exceeds 1 minute, you will be asked (via command line) if you want to continue.

See Also

epCA, epMCA, epMCA.inference.battery, caChiTest

Examples

Run this code
# NOT RUN {
	##warning: this example takes a while to compute. This is why it is reduced.
	data(authors)
	ca.authors.res <- epCA.inference.battery(authors$ca$data/100)
# }

Run the code above in your browser using DataCamp Workspace