trun_mdat {detectnorm} | R Documentation |

## Example meta-analysis: Truncated Normal Data

### Description

This dataset is generated by truncated normal data with function `rtruncnorm`

with the scale of 0-4.

### Usage

```
trun_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 the scale 0-4.

- 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 the scale 0-4.

- 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*version 1.0.0 Index]