Man pages for Ergative/logisticat
Plot Inverse Predictions for Logistic Regressions

byte2hexGet a two-character hex string representation of a number.
clampConstrain a numeric value within a range.
column.to.vectorGet a vector from a data frame column.
example.plotCreate an example plot using the 'gglogistic()' function.
gglogisticPlot logistic regression of probability from 0% to 100%...
inverse.predictFind the value of a predictor variable that has the given...
inverse.predict.by.replicateCreate a Data frame with an inverse prediction for each...
inverse.predict.by.treatmentCreate a Data frame with an inverse prediction for each...
list.df.rowsGet a list a row vectors from a data frame.
logistic.regressionMake a logistic regression for a binary outcome based on a...
make.boxplotCreate a geom for a box plot of success fractions.
make.inverse.prediction.geomsDraw "T"-shaped intersection of predicted with probability.
make.regression.lineCreate a geom representing a logistic regression on the data.
metamorphosisData for a hypothetical experiment on time to competence in...
nybble2hexGet a hex string representation of a nybble
outcome.counts.to.rowsTransform data with counts of binary outcomes into repeated...
pipePipe operator
sanity.checkSmall data set for use testing functions in this package.
tidyevalTidy eval helpers
with.alphaSet the alpha value of a color.
Ergative/logisticat documentation built on May 17, 2022, 12:32 a.m.