compute_ecdf: Compute eCDF

In CJangelo/COA34: Psychometric Analyses Aligned with FDA COA Guidances 3 and 4

Compute eCDF

Description

Compute cumulative density of change score for eCDF plot. This is the true empirical density, using the stats::ecdf function: https://github.com/SurajGupta/r-source/blob/master/src/library/stats/R/ecdf.R which uses the stats::approxfun function

Usage

compute_ecdf(
  dat = NULL,
  anchor.group = NULL,
  time.var = NULL,
  timepoint = NULL,
  change.score = NULL
)

Arguments

dat	pass the dataframe, must contain the anchor group and the change score
anchor.group	indicate the name of the anchor group
time.var	variable of the Time in the dataframe - PLEASE CHECK THAT THIS IS CORRECTLY ORDERED, default is Time
timepoint	default here is to just use the final timepoint, e.g., "Time_4". Please be sure to have ordered your time variable correctly.
change.score	indicate the name of the PRO change score

Value

character vector

CJangelo/COA34 documentation built on June 23, 2022, 12:10 p.m.