retrieve_good_data

This function retrieves the indices of non-missing data values at a specific
time point from an individual array.

data

Manipulation

Calculates profile repeatability for replicate stress response
curves, or similar time-series data. Profile repeatability is an individual
repeatability metric that uses the variances at each timepoint, the maximum
variance, the number of crossings (lines that cross over each other), and
the number of replicates to compute the repeatability score.
For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.

Ursula K. Beattie

profrep

Profile Repeatability

David Harris

L. Michael Romero

J. Michael Reed

Zachary R. Weaver

retrieve_good_data function

<dl><dt>individual_array</dt>
<dd>A data matrix or data frame representing individual
data, where rows correspond to time points and columns correspond to
replicates and variables.</dd>
<dt>t</dt>
<dd>The time point for which you want to retrieve non-missing data
indices.</dd>
<dt>n_replicates</dt>
<dd>The number of replicates in the data matrix.</dd></dl>

Arguments

Retrieve Indices of Non-Missing Data for a Specific Time Point — retrieve_good_data

<dl>

<dt>individual_array</dt>
<dd>A data matrix or data frame representing individual
data, where rows correspond to time points and columns correspond to
replicates and variables.</dd>


<dt>t</dt>
<dd>The time point for which you want to retrieve non-missing data
indices.</dd>


<dt>n_replicates</dt>
<dd>The number of replicates in the data matrix.</dd>

</dl>

retrieve_good_data: Retrieve Indices of Non-Missing Data for a Specific Time Point

Description

Usage

Value

Arguments

See Also

Examples