sd_median: Calculate median SD score by age for each parameter.

In growthcleanr: Data Cleaner for Anthropometric Measurements

Calculate median SD score by age for each parameter.

Description

Calculate median SD score by age for each parameter.

Usage

sd_median(param, sex, agedays, sd.orig)

Arguments

param	Vector identifying each measurement, may be 'WEIGHTKG', or 'HEIGHTCM'.
sex	Vector identifying the gender of the subject, may be 'M', 'm', or 0 for males, vs. 'F', 'f' or 1 for females.
agedays	Numeric vector containing the age in days at each measurement.
sd.orig	Vector of previously calculated standard deviation (SD) scores for each measurement before re-centering.

Value

Table of data with median SD-scores per day of life by gender and parameter.

Examples

# Run on 1 subject
df_stats <- as.data.frame(syngrowth)
df_stats <- df_stats[df_stats$subjid == df_stats$subjid[1], ]

# Get the original standard deviations
measurement_to_z <- read_anthro(cdc.only = TRUE)
sd.orig <- measurement_to_z(df_stats$param,
                       df_stats$agedays,
                       df_stats$sex,
                       df_stats$measurement,
                       TRUE)

# Calculate median standard deviations
sd.m <- sd_median(df_stats$param,
                  df_stats$sex,
                  df_stats$agedays,
                  sd.orig)

growthcleanr documentation built on June 24, 2024, 5:16 p.m.