pred_GLI: Calculate predicted values of spirometry parameters using...

In rspiro: Implementation of Spirometry Equations

Calculate predicted values of spirometry parameters using GLI-2012 equations

Description

This function calculates the mean normal (predicted) values for the various spirometry parameters, using the GLI-2012 equations. It accepts as input age, height, gender and ethnicity.

Usage

pred_GLI(age, height, gender = 1, ethnicity = 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.
ethnicity	Ethnicity (1 = Caucasian, 2 = African-American, 3 = NE Asian, 4 = SE Asian, 5 = Other/mixed). Default is 1.
param	A character vector, containing one of more of the following parameters (case insensitive): "FEV1", "FVC", "FEV1FVC", "FEF2575", "FEF75", "FEV075", "FEV075FVC"

Details

Arguments age, height, gender and ethnicity 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 Caucasian women aged 20 to 70 and with a height of 1.70 meters.
pred_GLI(20:70, 1.7, 2, param=c("FEV1","FVC"))

rspiro documentation built on Aug. 7, 2023, 5:06 p.m.