checkData

data

<code>boolean</code> -- If TRUE, the function prints
messages whenever an error in the data set is found.

verbose


Check a given data matrix for consistency with the format
required for further analysis.
The data must be a numeric matrix and not contain:
<ul>
<li> Inf values
</li>
<li> NaN values
</li>
<li> Rows or columns that consist of NA only
</li>
</ul><p></p><p></p>

multivariate

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
based method for missing value estimation is included for
comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
on incomplete data as well as for accurate missing value
estimation. A set of methods for printing and plotting the
results is also provided. All PCA methods make use of the same
data structure (pcaRes) to provide a common interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany.

Henning Redestig

pcaMethods

A collection of PCA methods

checkData function

Check a given data matrix for consistency with the format
required for further analysis.
The data must be a numeric matrix and not contain:
<ul><li>Inf values</li><li>NaN values</li><li>Rows or columns that consist of NA only</li></ul>

Do some basic checks on a given data matrix

<code>boolean</code> -- TRUE if no errors were
found, FALSE otherwise.  isValid contains a set of attributes,
these are: <ul><li>isNumeric - TRUE if data is numeric,
false otherwise</li><li>isInfinite - TRUE if data contains 'Inf'
values, false otherwise</li><li>isNaN - TRUE if data contains 'NaN'
values, false otherwise</li><li>isMatrix - TRUE if the data is in
matrix format, FALSE otherwise</li><li>naRows - TRUE if data
contains rows in which all elements are 'NA',  FALSE otherwise</li><li>naCols - TRUE if data contains columns in which all elements
are 'NA',  FALSE otherwise</li></ul>

checkData: Do some basic checks on a given data matrix

Description

Usage

Arguments

Value