Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/epGPCA.inference.battery.R
Generalized Principal Component Analysis (PCA) and a battery of inference tests via InPosition. The battery includes permutation and bootstrap tests.
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DATA |
original data to perform a PCA on. |
scale |
a boolean, vector, or string. See |
center |
a boolean, vector, or string. See |
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 items. |
graphs |
a boolean. If TRUE (default), graphs and plots are provided (via |
k |
number of components to return. |
test.iters |
number of iterations |
constrained |
a boolean. If a DESIGN matrix is used, this will constrain bootstrap resampling to be within groups. |
critical.value |
numeric. A value, analogous to a z- or t-score to be used to determine significance (via bootstrap ratio). |
epGPCA.inference.battery
performs generalized principal components 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 epGPCA
, corePCA
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 |
Derek Beaton and Hervé Abdi.
epGPCA
, epPCA
, epPCA.inference.battery
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