timecourse_stats {ubiquity} | R Documentation |
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
[Package ubiquity version 2.1.0 Index]