Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/epCA.inference.battery.R
Correspondence Analysis (CA) and a battery of inference tests via InPosition. The battery includes permutation and bootstrap tests.
1 2 3 |
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 |
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). |
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.
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 ($eigs.perm) for each component |
fj.boots |
Bootstrap tests of measures (columns). See |
omni |
Permutation tests of components. p-values ($p.val) and distributions of total inertia ($inertia.perm) |
Derek Beaton, Joseph Dunlop, and Hervé Abdi.
epCA
, epMCA
, epMCA.inference.battery
, caChiTest
1 2 3 | ##warning: this example takes a while to compute. This is why it is reduced.
data(authors)
ca.authors.res <- epCA.inference.battery(authors$ca$data/100)
|
Loading required package: prettyGraphs
Loading required package: ExPosition
[1] "It is estimated that your iterations will take 0.49 minutes."
[1] "R is not in interactive() mode. Resample-based tests will be conducted. Please take note of the progress bar."
================================================================================dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
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