standardized_test_data {atable} | R Documentation |

## A data.frame with standardized random data of various classes

### Description

A data.frame intended for testing the atable function with standardized random data and missing values in various classes.

### Usage

standardized_test_data

### Format

A data frame with 1080 rows and 7 variables:

- Split1
A factor with 2 levels without `NA`

. The two levels have the same frequency (540).

- Split2
A factor with 2 levels with `NA`

. The two levels and the `NA`

have the same frequency (360).

- Group
A factor with 2 levels with `NA`

. The two levels and the `NA`

have the same frequency (360).

- Logical
A logical.

- Factor
A factor with 3 levels.

- Ordered
Class ordered with 4 levels.

- Numeric
Class numeric.

### Details

For every subset defined by a triplet of the levels of Split1, Split2 and Group the variables have the following properties:

60 observations

Logical has exactly the same number of `TRUE`

and `FALSE`

and `NA`

(20).

Factor has exactly the same number of levels taken and `NA`

(15).

Ordered has exactly the same number of levels taken and `NA`

(12).

Numeric is sampled from a normal distribution and then standardized to
`sd`

1 and with 6 `NA`

.
Its `mean`

is 12 when `Group`

is `'Treatment'`

and 10 otherwise (up to `10^-17`

).

### Examples

atable::atable(Logical+ Numeric + Factor + Ordered ~ Group | Split1 + Split2,
atable::standardized_test_data, add_levels_for_NA = TRUE, format_to = 'Word')

[Package

*atable* version 0.1.10

Index]