explore_all: Explore all variables
In explore: Simplifies Exploratory Data Analysis
explore_all R Documentation
Explore all variables
Description
Explore all variables of a dataset (create plots)
Usage
explore_all(data, n, target, ncol = 2, targetpct, split = TRUE)
Arguments
data
A dataset
n
Weights variable (only for count data)
target
Target variable (0/1 or FALSE/TRUE)
ncol
Layout of plots (number of columns)
targetpct
Plot variable as target% (FALSE/TRUE)
split
Split by target (TRUE|FALSE)
Value
Plot
Examples
explore_all(iris)
iris$is_virginica <- ifelse(iris$Species == "virginica", 1, 0)
explore_all(iris, target = is_virginica)
explore documentation built on Oct. 11, 2023, 9:07 a.m.
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| explore_all | R Documentation |
Explore all variables
Description
Explore all variables of a dataset (create plots)
Usage
explore_all(data, n, target, ncol = 2, targetpct, split = TRUE)
Arguments
data |
A dataset |
n |
Weights variable (only for count data) |
target |
Target variable (0/1 or FALSE/TRUE) |
ncol |
Layout of plots (number of columns) |
targetpct |
Plot variable as target% (FALSE/TRUE) |
split |
Split by target (TRUE|FALSE) |
Value
Plot
Examples
explore_all(iris)
iris$is_virginica <- ifelse(iris$Species == "virginica", 1, 0)
explore_all(iris, target = is_virginica)
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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