mean_vs_mean: Piecewise linear functions based on means and medians
In dtkaplan/SDSdata: Data and utilities for the book Statistics for Data Science
mean_vs_mean R Documentation
Piecewise linear functions based on means and medians
Description
Approximate a linear fit by the line connecting the midpoints
of the lower half of the data and the upper half of the data
Usage
mean_vs_mean(formula, data = parent.env(), stat_fun = mean)
Arguments
formula
a formula y ~ x
data
a data frame containing the variables in the formula
stat_fun
either mean or median or another function defining "midpoint"
Examples
mean_vs_mean(mpg ~ hp, data = mtcars)
dtkaplan/SDSdata documentation built on June 28, 2022, 8:09 a.m.
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| mean_vs_mean | R Documentation |
Piecewise linear functions based on means and medians
Description
Approximate a linear fit by the line connecting the midpoints of the lower half of the data and the upper half of the data
Usage
mean_vs_mean(formula, data = parent.env(), stat_fun = mean)
Arguments
formula |
a formula y ~ x |
data |
a data frame containing the variables in the formula |
stat_fun |
either |
Examples
mean_vs_mean(mpg ~ hp, data = mtcars)
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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