probabilitiesFromContinuous: estimate PDFs from samples in a tidy friendly manner
In terminological/tidy-info-stats: Functions for manipulating information statistics
View source: R/tidyContinuousProbability.R
probabilitiesFromContinuous R Documentation
estimate PDFs from samples in a tidy friendly manner
Description
estimate PDFs from samples in a tidy friendly manner
Usage
probabilitiesFromContinuous(df, continuousVar, method = "Kernel", ...)
Arguments
df
- may be grouped, in which case the value is interpreted as different types of continuous variable
continuousVar
- the column of the continuous value (Y)
method
- the method employed - valid options are "Kernel", "SGolay"
...
- the other parameters are passed onto the implementations
Value
a dataframe containing the disctinct values of the groups of df, and for each group a mutual information column (I). If df was not grouped this will be a single entry
terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.
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View source: R/tidyContinuousProbability.R
| probabilitiesFromContinuous | R Documentation |
estimate PDFs from samples in a tidy friendly manner
Description
estimate PDFs from samples in a tidy friendly manner
Usage
probabilitiesFromContinuous(df, continuousVar, method = "Kernel", ...)
Arguments
df |
- may be grouped, in which case the value is interpreted as different types of continuous variable |
continuousVar |
- the column of the continuous value (Y) |
method |
- the method employed - valid options are "Kernel", "SGolay" |
... |
- the other parameters are passed onto the implementations |
Value
a dataframe containing the disctinct values of the groups of df, and for each group a mutual information column (I). If df was not grouped this will be a single entry
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.
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