beta_mdat

This dataset is generated by nonnormal data with function <code>rnonnorm</code>. It contains the descriptive data in individual studies in the meta-analysis.

datasets

Non-normality could greatly distort the meta-analytic results, according to the simulation in Sun and Cheung (2020) <doi: 10.3758/s13428-019-01334-x>. This package aims to detect non-normality for two independent groups with only limited descriptive statistics, including mean, standard deviation, minimum, and maximum.

Rongwei Sun

detectnorm

Detect Nonnormality in Meta-Analysis without Raw Data

Shu Fai Cheung

beta_mdat function

A <code>data.frame</code> with 40 studies:<dl>
 <dt>study</dt>
<dd>No of studies</dd> <dt>n1</dt>
<dd>sample size of group 1 with equal sample size for the two studies. Generated with uniform distribution.</dd> <dt>m1</dt>
<dd>mean of group 1. Population mean is equal to 1. The data of group 1 is generated with skewness = 4 and kurtosis = 2.</dd> <dt>sd1</dt>
<dd>standard deviation of group 1. Population sd of group 1 is equal to 1.</dd> <dt>lo1</dt>
<dd>minimum of the generated sample for group 1.</dd> <dt>hi1</dt>
<dd>maximum of the generated sample for group 1.</dd> <dt>n2</dt>
<dd>sample size of study 2; n1 = n2 for each study</dd> <dt>m2</dt>
<dd>mean of group 2. Population mean is equal to 1.5. The data of group 2 is generated with skewness = -4 and kurtosis = 2.</dd> <dt>sd2</dt>
<dd>standard deviation of group 2. Population sd of group 2 is equal to 1.</dd> <dt>lo2</dt>
<dd>minimum of the generated sample for group 2.</dd> <dt>hi2</dt>
<dd>maximum of the generated sample for group 2.</dd> <dt>skew1</dt>
<dd>sample skewness for group 1.</dd> <dt>skew2</dt>
<dd>sammple skewness for group 2.</dd>
</dl>

Format

Example meta-analysis: Extremely Non-normal Data — beta_mdat

A <code>data.frame</code> with 40 studies:<dl>
 <dt>study</dt>
<dd>No of studies</dd>

 <dt>n1</dt>
<dd>sample size of group 1 with equal sample size for the two studies. Generated with uniform distribution.</dd>

 <dt>m1</dt>
<dd>mean of group 1. Population mean is equal to 1. The data of group 1 is generated with skewness = 4 and kurtosis = 2.</dd>

 <dt>sd1</dt>
<dd>standard deviation of group 1. Population sd of group 1 is equal to 1.</dd>

 <dt>lo1</dt>
<dd>minimum of the generated sample for group 1.</dd>

 <dt>hi1</dt>
<dd>maximum of the generated sample for group 1.</dd>

 <dt>n2</dt>
<dd>sample size of study 2; n1 = n2 for each study</dd>

 <dt>m2</dt>
<dd>mean of group 2. Population mean is equal to 1.5. The data of group 2 is generated with skewness = -4 and kurtosis = 2.</dd>

 <dt>sd2</dt>
<dd>standard deviation of group 2. Population sd of group 2 is equal to 1.</dd>

 <dt>lo2</dt>
<dd>minimum of the generated sample for group 2.</dd>

 <dt>hi2</dt>
<dd>maximum of the generated sample for group 2.</dd>

 <dt>skew1</dt>
<dd>sample skewness for group 1.</dd>

 <dt>skew2</dt>
<dd>sammple skewness for group 2.</dd>


</dl>

beta_mdat: Example meta-analysis: Extremely Non-normal Data

Description

Usage

Arguments

Format