## Features of hormLong

Iterative Baseline MethodA common approach for identifying peaks in longitudinal datasets is to use the iterative baseline approach, in which points exceeding the mean + X standard deviations are excluded until no points exceed this threshold. hormLong allows users to:- Easily run these calculations for multiple groups (e.g., individuals, hormones, species) with just a single line of code
- Quickly adjust criteria (e.g., 1.5 SD or 3 SD) and re-run calculations
- Create plots with arrows for events and a baseline cut-off line to help visualize peaks
- Output the dataset with samples identified as either baseline or peak
- Output summary statistics to Excel (e.g., average baseline, average peak, cut-off value)
Area Under the Curve (AUC)A common approach for identifying the magnitude of a response is to calculate the area under the curve. hormLong allows users to:- Easily calculate AUC for all peaks for each individual
- Choose between two commonly used calculation techniques and set lower-bound
- Output peak information to an Excel file
- Create plots to visualize peaks
Other graphical tools- Overlay plots for multiple hormones - Calculate and plot the ratio between 2 hormones - Create boxplots to compare distributions |