discover_variable_hierarchies: Find the relationship between the variables in a data set
In DoktorMike/datools: A set of useful tools for machine learning consulting using R
Description
Usage
Arguments
Value
Examples
View source: R/variablerelationships.R
Description
Finds the hirarchical relationship between all variables and connects them in a network such as
to optimize the mutual information.
Usage
1
discover_variable_hierarchies(data, n = 5)
Arguments
data
the data.frame containing the observations and variables to inspect
n
the number of networks to consider
Value
a character matrix with columns from and to representing the variables that are related
Examples
1
2
3
4
5
data(iris)
data(mtcars)
library(dplyr)
discover_variable_hierarchies(mtcars, 10) %>% as_tibble()
discover_variable_hierarchies(iris, 10) %>% as_tibble()
DoktorMike/datools documentation built on Feb. 28, 2021, 8:39 a.m.
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Description Usage Arguments Value Examples
View source: R/variablerelationships.R
Description
Finds the hirarchical relationship between all variables and connects them in a network such as to optimize the mutual information.
Usage
1 | discover_variable_hierarchies(data, n = 5)
|
Arguments
data |
the data.frame containing the observations and variables to inspect |
n |
the number of networks to consider |
Value
a character matrix with columns from and to representing the variables that are related
Examples
1 2 3 4 5 | data(iris)
data(mtcars)
library(dplyr)
discover_variable_hierarchies(mtcars, 10) %>% as_tibble()
discover_variable_hierarchies(iris, 10) %>% as_tibble()
|
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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