plot.cnormBetaBinomial2

This function creates a visualization of a fitted cnormBetaBinomial model,
including the original data points manifest percentiles and specified percentile lines.

A comprehensive toolkit for generating continuous test norms in
psychometrics and biometrics, and analyzing model fit. The package offers both
distribution-free modeling using Taylor polynomials and parametric modeling
using the beta-binomial distribution. Originally developed for achievement
tests, it is applicable to a wide range of mental, physical, or other test
scores dependent on continuous or discrete explanatory variables. The package
provides several advantages: It minimizes deviations from representativeness
in subsamples, interpolates between discrete levels of explanatory variables,
and significantly reduces the required sample size compared to conventional
norming per age group. cNORM enables graphical and analytical evaluation of
model fit, accommodates a wide range of scales including those with negative
and descending values, and even supports conventional norming. It generates
norm tables including confidence intervals. It also includes methods for
addressing representativeness issues through Iterative Proportional Fitting.

Wolfgang Lenhard

cNORM

Continuous Norming

Alexandra Lenhard

Sebastian Gary

WPS publisher 

plot.cnormBetaBinomial2 function

<dl><dt>x</dt>
<dd>A fitted model object of class "cnormBetaBinomial" or "cnormBetaBinomial2".</dd>
<dt>...</dt>
<dd>Additional arguments passed to the plot method.<ul>
<li>age A vector the age data.</li>
<li>A vector of the score data.</li>
<li>weights An optional numeric vector of weights for each observation.</li>
<li>percentiles An optional vector with the percentiles to plot.</li>
<li>points Logical indicating whether to plot the data points. Default is TRUE.</li>
</ul></dd></dl>

Arguments

Plot cnormBetaBinomial Model with Data and Percentile Lines — plot.cnormBetaBinomial2

<dl>

<dt>x</dt>
<dd>A fitted model object of class "cnormBetaBinomial" or "cnormBetaBinomial2".</dd>


<dt>...</dt>
<dd>Additional arguments passed to the plot method.<ul>
<li>age A vector the age data.</li>
<li>A vector of the score data.</li>
<li>weights An optional numeric vector of weights for each observation.</li>
<li>percentiles An optional vector with the percentiles to plot.</li>
<li>points Logical indicating whether to plot the data points. Default is TRUE.</li>
</ul></dd>

</dl>

plot.cnormBetaBinomial2: Plot cnormBetaBinomial Model with Data and Percentile Lines

Description

Usage

Value

Arguments

See Also