Description Usage Arguments Details Value Author(s) See Also Examples

This function is meant as a userfriendly wrapper to approximate the way logistic regression is done in SPSS.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ```
logRegr(formula,
data = NULL,
conf.level = 0.95,
digits = 2,
pvalueDigits = 3,
crossTabs = TRUE,
plot = FALSE,
collinearity = FALSE,
env = parent.frame(),
predictionColor = viridis(3)[3],
predictionAlpha = 0.5,
predictionSize = 2,
dataColor = viridis(3)[1],
dataAlpha = 0.33,
dataSize = 2,
observedMeansColor = viridis(3)[2],
binObservedMeans = 7,
observedMeansSize = 2,
observedMeansWidth = NULL,
observedMeansAlpha = 0.5,
theme = theme_bw())
``` |

`formula` |
The formula, specified in the same way as for |

`data` |
Optionally, a dataset containing the variables in the formula (if not specified, the variables must exist in the environment specified in |

`conf.level` |
The confidence level for the confidence intervals. |

`digits` |
The number of digits used when printing the results. |

`pvalueDigits` |
The number of digits used when printing the p-values. |

`crossTabs` |
Whether to show cross tabulations of the correct predictions for the null model and the tested model, as well as the percentage of correct predictions. |

`plot` |
Whether to display the plot. |

`collinearity` |
Whether to show collinearity diagnostics. |

`env` |
If no dataframe is specified in |

`predictionColor, dataColor, observedMeansColor` |
The color of, respectively, the line and confidence interval showing the prediction; the points representing the observed data points; and the means based on the observed data. |

`predictionAlpha, dataAlpha, observedMeansAlpha` |
The alpha of, respectively, the confidence interval of the prediction; the points representing the observed data points; and the means based on the observed data (set to 0 to hide an element). |

`predictionSize, dataSize, observedMeansSize` |
The size of, respectively, the line of the prediction; the points representing the observed data points; and the means based on the observed data (set to 0 to hide an element). |

`binObservedMeans` |
Whether to bin the observed means; either FALSE or a single numeric value specifying the number of bins. |

`observedMeansWidth` |
The width of the lines of the observed means. If not specified (i.e. |

`theme` |
The theme used to display the plot. |

This function

Mainly, this function prints its results, but it also returns them in an object containing three lists:

`input` |
The arguments specified when calling the function |

`intermediate` |
Intermediat objects and values |

`output` |
The results, such as the plot, the cross tables, and the coefficients. |

Ron Pat-El & Gjalt-Jorn Peters (both while at the Open University of the Netherlands)

Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

`regr`

and `fanova`

for similar functions for linear regression and analysis of variance and `glm`

for the regular interface for logistic regression.

1 2 3 4 5 6 7 8 |

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