estimate_bias: Calculate bias of a measurement

In nutriverse/anthrocheckr: Anthropometric Measurement Standardisation Tests

Calculate bias of a measurement

Description

Calculate the bias of a measurement against a gold standard. Two gold standards are used in this function: 1) measurements made by a supervisor or a known expert; and, 2) median of all measurements made by the observers.

Usage

estimate_bias(msur, msup, mall)

Arguments

msur	A numeric value or vector of mean measurements from observers
msup	A numeric value or vector of mean measurements from supervisor
mall	A numeric value or vector of the median of measurements from observers

Value

A numeric value or vector signifying bias

Examples

x <- subset(smartStdLong, measure_type == "height")

y <- calculate_mean(measures = x$measure_value, index = x$observer)

z <- calculate_mean(x$measure_value)

estimate_bias(
  msur = y$mean[y$index != 0],
  msup = y$mean[y$index == 0],
  mall = z
)

nutriverse/anthrocheckr documentation built on Dec. 23, 2024, 2:22 a.m.