stulevel {eeptools} | R Documentation |

## A synthetic data set of K-12 student attributes.

### Description

A small dataset of synthetic data on K-12 students with 2700
observations. 1200 individual students are represented, nested within
4 districts and 2 schools.

### Usage

```
stulevel
```

### Format

A data frame with 2700 observations on the following 32 variables.

`X`

a numeric vector

`school`

a numeric vector

`stuid`

a numeric vector

`grade`

a numeric vector

`schid`

a numeric vector

`dist`

a numeric vector

`white`

a numeric vector

`black`

a numeric vector

`hisp`

a numeric vector

`indian`

a numeric vector

`asian`

a numeric vector

`econ`

a numeric vector

`female`

a numeric vector

`ell`

a numeric vector

`disab`

a numeric vector

`sch_fay`

a numeric vector

`dist_fay`

a numeric vector

`luck`

a numeric vector

`ability`

a numeric vector

`measerr`

a numeric vector

`teachq`

a numeric vector

`year`

a numeric vector

`attday`

a numeric vector

`schoolscore`

a numeric vector

`district`

a numeric vector

`schoolhigh`

a numeric vector

`schoolavg`

a numeric vector

`schoollow`

a numeric vector

`readSS`

a numeric vector

`mathSS`

a numeric vector

`proflvl`

a factor with levels `advanced`

`basic`

`below basic`

`proficient`

`race`

a factor with levels `A`

`B`

`H`

`I`

`W`

### Details

This data is synthetically generated to reflect student test scores
and demographic attributes.

### Source

The script to generate this synthetic dataset can be found and modified
at https://github.com/jknowles/r_tutorial_ed

### Examples

```
data(stulevel)
head(stulevel)
```

[Package

*eeptools* version 1.2.4

Index]