pred_JRS: Calculate predicted values of spirometry parameters using JRS...

In thlytras/rspiro: Implementation of Spirometry Equations

Calculate predicted values of spirometry parameters using JRS (2014) equations

Description

This function calculates the mean normal (predicted) values for the various spirometry parameters, using the JRS (Japanese Respiratory Society 2014) equations. It accepts as input age, height and gender.

Usage

pred_JRS(age, height, gender = 1, param = "FEV1")

Arguments

age	Age in years
height	Height in meters
gender	Gender (1 = male, 2 = female) or a factor with two levels (first = male). Default is 1.
param	A character vector, containing one of more of the following parameters (case insensitive): "FEV1", "FVC", "VC", "FEV1FVC"

Details

Arguments age, height and gender are vectors of equal length, or of length one, in which case the value is recycled; if the four vectors are not of equal length, the function stops with an error.

Value

If param has length one, the function returns a numeric vector. If param has length >1, it returns a data.frame with length(param) columns.

Examples

# Find predicted FEV1 and FVC for women aged 20 to 70 and with a height of 1.70 meters.
pred_JRS(20:70, 1.7, 2, param=c("FEV1","FVC"))

thlytras/rspiro documentation built on June 24, 2024, 7:58 a.m.