timecourse_stats: Calculate Timecourse Statistics for a Matrix of Responses

In john-harrold/ubiquity: PKPD, PBPK, and Systems Pharmacology Modeling Tools

Calculate Timecourse Statistics for a Matrix of Responses

Description

Given a matrix (d) of time courses (each row is an individual and each column is a time point) and a confidence interval (ci) this will calculate the mean, median, confidence intervals and a vector of values for creating patches.

Usage

timecourse_stats(d, ci)

Arguments

d	matrix of responses (each row an individual and each column a time point)
ci	confidence interval in percent (eg, 95)

Value

List with the following elements:

• stats$ub_ci vector of confidence interval upper bound

• stats$lb_ci vector of confidence interval lower bound

• stats$mean vector of mean values

• stats$median vector of median values

john-harrold/ubiquity documentation built on March 13, 2024, 2:58 a.m.