`R/2_1_textTrain.R`

`textPredictTest.Rd`

If y2 is provided a bootstrapped procedure is used to compare the correlations between y1 and yhat1 versus y2 and yhat2. This is achieved by creating two distributions of correlations using bootstrapping; and then finally compute the distributions overlap.

textPredictTest( y1, y2 = NULL, yhat1, yhat2, paired = TRUE, bootstraps_times = 10000, seed = 6134, ... )

y1 | The observed scores (i.e., what was used to predict when training a model). |
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y2 | The second observed scores (default = NULL; i.e., for when comparing models that are predicting different outcomes. In this case a bootstrap procedure is used to create two distributions of correlations that are compared (see description above). |

yhat1 | The predicted scores from model 1. |

yhat2 | The predicted scores from model 2 that will be compared with model 1. |

paired | Paired test or not in stats::t.test (default TRUE). |

bootstraps_times | Number of bootstraps (when providing y2). |

seed | Set different seed. |

... | Settings from stats::t.test or overlapping::overlap (e.g., plot = TRUE). |

Comparison of correlations either a t-test or the overlap of a bootstrapped provedure (see $OV).

see `textTrain`

`textPredict`