internal.quantiles.mean.sd

Computes the specified quantiles, mean, and standard deviation for the given data.

Provides tools for generating and analyzing simulation studies. Users may easily specify all terms of a simulation study, often in a single line of code. Common univariate and bivariate methods, such as t tests, proportions tests, and chi squared tests, are integrated. Multivariate studies involving linear or logistic regression may also be specified with symbolic inputs. The simulation studies generate data for n observations in each of B experiments. Analyses of each experiment are integrated, and empirical results across the experiments are also provided.

Srivastav Budugutta

simitation

Simplified Simulations

David Shilane

Mayur Bansal

internal.quantiles.mean.sd function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>the.quantiles</dt>
<dd>A numeric vector of quantile values.</dd>
<dt>na.rm</dt>
<dd>A logical indicating if missing values should be removed.</dd></dl>

Arguments

Internal function for Quantile, Mean, and Standard Deviation Calculation — internal.quantiles.mean.sd

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>


<dt>the.quantiles</dt>
<dd>A numeric vector of quantile values.</dd>


<dt>na.rm</dt>
<dd>A logical indicating if missing values should be removed.</dd>

</dl>

internal.quantiles.mean.sd: Internal function for Quantile, Mean, and Standard Deviation Calculation

Description

Usage

Value

Arguments