linearBySize: A binning strategy generator. Creates a function that can be...
In terminological/tidy-info-stats: Functions for manipulating information statistics
View source: R/tidyDiscretise.R
linearBySize R Documentation
A binning strategy generator. Creates a function that can be used to create discretisation cuts based on the statistical paramaters of the data to be discretised
in particular the sample size, minimum and maximum value of the observed data (in a group by group fashion)
Description
A binning strategy generator. Creates a function that can be used to create discretisation cuts based on the statistical paramaters of the data to be discretised
in particular the sample size, minimum and maximum value of the observed data (in a group by group fashion)
Usage
linearBySize(slope, minBins, maxBins, fn = fixedNumber)
Arguments
slope
- the number of observations for each bin if the observation numbers fall between minBins*slope and maxBins*slope
minBins
- the smallest number of bins to create for each group
maxBins
- the largest number of bins to create for each group
fn
- the distribution function that genertes the cut points (e.g. tidyinfostats::fixedNumber (uniform), tidyinfostats::logNormalCentiles )
terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/tidyDiscretise.R
| linearBySize | R Documentation |
A binning strategy generator. Creates a function that can be used to create discretisation cuts based on the statistical paramaters of the data to be discretised in particular the sample size, minimum and maximum value of the observed data (in a group by group fashion)
Description
A binning strategy generator. Creates a function that can be used to create discretisation cuts based on the statistical paramaters of the data to be discretised in particular the sample size, minimum and maximum value of the observed data (in a group by group fashion)
Usage
linearBySize(slope, minBins, maxBins, fn = fixedNumber)
Arguments
slope |
- the number of observations for each bin if the observation numbers fall between minBins*slope and maxBins*slope |
minBins |
- the smallest number of bins to create for each group |
maxBins |
- the largest number of bins to create for each group |
fn |
- the distribution function that genertes the cut points (e.g. tidyinfostats::fixedNumber (uniform), tidyinfostats::logNormalCentiles ) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.