print.summary_corr_matrix

Prints compact summary statistics returned by matrix-style
<code><a href="/link/summary()?package=matrixCorr&version=0.10.0" data-mini-rdoc="matrixCorr::summary()">summary()</a></code> methods in matrixCorr.

Compute correlation, association, and agreement measures for
small to high-dimensional datasets through a consistent matrix-oriented
interface. Supports classical correlations (Pearson, Spearman, Kendall),
distance correlation, partial correlation with regularised estimators,
shrinkage correlation for p >= n settings, robust correlations including
biweight mid-correlation, percentage-bend, and skipped correlation,
latent-variable methods for binary and ordinal data, repeated-measures
correlation, and agreement analyses based on Bland-Altman methods and
Lin's concordance correlation coefficient, including repeated-measures
extensions. Implemented with optimized C++ backends using BLAS/OpenMP and
memory-aware symmetric updates, and returns standard R objects with
print/summary/plot methods plus optional Shiny viewers for matrix
inspection. Methods based on Ledoit and Wolf (2004)
<doi:10.1016/S0047-259X(03)00096-4>; high-dimensional shrinkage covariance
estimation <doi:10.2202/1544-6115.1175>; Lin (1989)
<doi:10.2307/2532051>; Wilcox (1994) <doi:10.1007/BF02294395>; Wilcox
(2004)
<doi:10.1080/0266476032000148821>.

Thiago de Paula Oliveira

matrixCorr

Collection of Correlation and Association Estimators

print.summary_corr_matrix function

<dl><dt>x</dt>
<dd>An object of class <code>summary_corr_matrix</code>.</dd>
<dt>digits</dt>
<dd>Integer; number of decimal places to print.</dd>
<dt>n</dt>
<dd>Optional row threshold for compact preview output.</dd>
<dt>topn</dt>
<dd>Optional number of leading/trailing rows to show when truncated.</dd>
<dt>max_vars</dt>
<dd>Optional maximum number of visible columns; <code>NULL</code> derives this
from console width.</dd>
<dt>width</dt>
<dd>Optional display width; defaults to <code>getOption("width")</code>.</dd>
<dt>show_ci</dt>
<dd>One of <code>"yes"</code> or <code>"no"</code>.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Prints compact summary statistics returned by matrix-style
<code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> methods in matrixCorr.

Summary Method for Correlation Matrices — print.summary_corr_matrix

<dl>

<dt>x</dt>
<dd>An object of class <code>summary_corr_matrix</code>.</dd>


<dt>digits</dt>
<dd>Integer; number of decimal places to print.</dd>


<dt>n</dt>
<dd>Optional row threshold for compact preview output.</dd>


<dt>topn</dt>
<dd>Optional number of leading/trailing rows to show when truncated.</dd>


<dt>max_vars</dt>
<dd>Optional maximum number of visible columns; <code>NULL</code> derives this
from console width.</dd>


<dt>width</dt>
<dd>Optional display width; defaults to <code>getOption("width")</code>.</dd>


<dt>show_ci</dt>
<dd>One of <code>"yes"</code> or <code>"no"</code>.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

print.summary_corr_matrix: Summary Method for Correlation Matrices

Description

Usage

Value

Arguments