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

In detectnorm: Detect Nonnormality in Meta-Analysis without Raw Data

Example meta-analysis: Extremely Non-normal Data

Description

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

Usage

beta_mdat

Format

A data.frame with 40 studies:

study

No of studies

n1

sample size of group 1 with equal sample size for the two studies. Generated with uniform distribution.

m1

mean of group 1. Population mean is equal to 1. The data of group 1 is generated with skewness = 4 and kurtosis = 2.

sd1

standard deviation of group 1. Population sd of group 1 is equal to 1.

lo1

minimum of the generated sample for group 1.

hi1

maximum of the generated sample for group 1.

n2

sample size of study 2; n1 = n2 for each study

m2

mean of group 2. Population mean is equal to 1.5. The data of group 2 is generated with skewness = -4 and kurtosis = 2.

sd2

standard deviation of group 2. Population sd of group 2 is equal to 1.

lo2

minimum of the generated sample for group 2.

hi2

maximum of the generated sample for group 2.

skew1

sample skewness for group 1.

skew2

sammple skewness for group 2.

detectnorm documentation built on July 16, 2022, 5:05 p.m.