A numerical vector of time points (or spatial coordinates along a single axis)

A numerical vector of measurements (of the control)

A numerical vector of measurements (of the experimental condition)

A numerical value representing the start time (or spatial coordinate) of the integration

start

A numerical value representing the end time (or spatial coordinate) of the integration

stop

A vector of positive integers representing the indices of <code>tp</code> that we subsample

index

This can be adjusted to ensure the integration doesn't take too long, especially if we aren't overly concerned with rounding errors.

numSubdivisions

Given two functions y1(t) and y2(t), this function finds the L2-distance between the following two curves:
a) y1(t)-y2(t) sampled at all time points (<code>tp</code>) 
b) y1(t)-y2(t) sampled at the time points indexed by <code>index</code> (<code>tp[index]</code>).
Note that by setting <code>y2</code> to <code>rep(0,length(tp))</code>, this function can be used to estimate the L2-error in the shape of <code>y1</code>.

Given a few examples of experiments over a time (or spatial) course,
'NITPicker' selects a subset of points to sample in follow-up experiments,
which would (i) best distinguish between the experimental conditions and the
control condition (ii) best distinguish between two models of how the
experimental condition might differ from the control (iii) a combination of
the two. Ezer and Keir (2018) <doi:10.1101/301796>.

L2: L2-error

Description

Usage

Arguments

Value