ba_analysis: Perform Bland-Altman analysis on a data frame

In paulhibbing/PAutilities: Streamline Physical Activity Research

Perform Bland-Altman analysis on a data frame

Description

Perform Bland-Altman analysis on a data frame

Usage

ba_analysis(df, x_var, y_var, regress_against = c("Y", "XY_mean"), ...)

Arguments

df	the data frame on which to operate
x_var	character. The column name of the X variable
y_var	character. The column name of the Y variable (criterion measure, if applicable)
regress_against	character. One of "Y" (to regress bias against yvar) or "XY_mean" (to regress bias against rowMeans(x_var, y_var)).
...	optional arguments passed to data.frame, e.g. to give the output results a label

Value

A data frame that has various summaries (means, standard deviations, and missing data details) plus mean bias (mean_bias column) and limits of agreement (lower_LOA and upper_LOA columns)

Examples

data(ex_data, package = "PAutilities")
ba_analysis(ex_data, "Axis1", "Vector.Magnitude", "XY_mean")
ba_analysis(
  ex_data, "Axis1", "Vector.Magnitude", "XY_mean",
  an_arbitrary_added_column = "Example of passing an extra column"
)

paulhibbing/PAutilities documentation built on July 5, 2025, 1:33 a.m.