Description Usage Format Source References See Also

In different laboratories, the comparison of behaviours of the same two strains of mice may lead to opposite conclusions that are both statistically significant.
An explanation may be the different laboratory environment, i.e., personnel, equipment, or measurement techniques,
affecting differently the study strains.
This data set provides the p-values for testing the association of mice strain with 29 behavioural measures from five commonly used behavioural tests in
two laboratories: the laboratory of H. Wurbel at the University of Giessen, and the laboratory of P. Gass at the Central Institute of Mental Health, Mannheim.
The data table contains two-sided p-values. To transform all the two-sided p-values to one sided in the same direction, see the example in `radjust_sym`

.

1 |

A data frame with 29 rows and 5 columns:

`feature_name` | char. | The name of the measure and the test, concatenated. |

`twosided_pv1` | numeric | the two-sided p-value from study 1. |

`twosided_pv2` | numeric | the two-sided p-value from study 2. |

`dir_is_left1` | logical | whether the direction of the test statistic from study 1 is left. |

`dir_is_left2` | logical | whether the direction of the test statistic from study 2 is right. |

Richter, S. Helene, et al. "Effect of population heterogenization on the reproducibility of mouse behavior: a multi-laboratory study." PLoS One 6.1 (2011): e16461.

Bogomolov, M. and Heller, R. (2018). Assessing replicability of findings across two studies of multiple features. Biometrika.

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