print.ffmanova

<code>"ffmanova"</code> object. Typically created by
<code><a rd-options="" href="/link/ffmanova?package=ffmanova&version=1.1.1" data-mini-rdoc="ffmanova::ffmanova">ffmanova</a></code>.

positive integer. Minimum number of significant digits to be
used for printing most numbers.

digits

further arguments sent to the underlying
<code><a rd-options="" href="/link/printCoefmat?package=ffmanova&version=1.1.1" data-mini-rdoc="ffmanova::printCoefmat">printCoefmat</a></code>.

&#8230;

Print method for objects of class <code>"ffmanova"</code>. It prints an ANOVA
table.

internal

print

General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear responses. Rotation testing, described by Langsrud (2005) <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) <doi:10.1080/02664760701594246>. This means that the method is invariant to scale changes and that common pitfalls are avoided.

Oyvind Langsrud

ffmanova

Fifty-Fifty MANOVA

<c3><98>yvind Langsrud

Bj<c3><b8>rn-Helge Mevik

print.ffmanova function

<code>"ffmanova"</code> object. Typically created by
<code><a rd-options='' href='ffmanova'>ffmanova</a></code>.

further arguments sent to the underlying
<code><a rd-options='' href='printCoefmat'>printCoefmat</a></code>.

print.ffmanova: Print method for ffmanova

Description

Usage

Arguments

Value

Details

See Also