# Observed test statistic

### Description

The observed test statistic is calculated from the obtained raw data.

### Usage

1 | ```
observed(design, statistic, data = read.table(file.choose(new = FALSE)))
``` |

### Arguments

`design` |
Type of single-case design: |

`statistic` |
Test statistic. For alternation designs, multiple-baseline designs and AB phase designs, there are 3 built-in possibilities: |

`data` |
File in which the data can be found. Default: a window pops up in which the file can be selected. |

### Details

When using the default `data`

argument, a window will pop up to ask in what file the data can be found. This text file containing the data should consist of two columns for single-case phase and alternation designs: the first with the condition labels and the second with the obtained scores.

For multiple-baseline designs it should consist of these two columns for EACH unit. This way, each row represents one measurement occasion. It is important not to label the rows or columns.

### References

Bulte, I., & Onghena, P. (2008). An R package for single-case randomization tests. Behavior Research Methods, 40, 467-478.

Bulte, I., & Onghena, P. (2009). Randomization tests for multiple baseline designs: An extension of the SCRT-R package. Behavior Research Methods, 41, 477-485.

http://ppw.kuleuven.be/english/research/mesrg

### See Also

`distribution.systematic`

to generate the exhaustive randomization distribtion and
`pvalue.systematic`

to obtain the corresponding p-value.

`distribution.random`

to generate the nonexhaustive randomization distribution and
`pvalue.random`

to obtain the corresponding p-value.

### Examples

1 2 |