## ----setup, include=FALSE----------------------------------------------------- knitr::opts_chunk$set(dev = "png", dpi = 120, fig.width = 5, fig.height = 4, out.width = "70%", fig.align = "center", echo = TRUE, collapse = TRUE, comment = "#>") ## ----load physmove intraspecific vignette, echo=FALSE------------------------- # Load PhysMove library(PhysMove) ## ----gyrad, message=FALSE----------------------------------------------------- # Calculate the dispersion of each track in the 'tracks' dataset GR <- gyrationRad(tracks) ## ----preview gyrad------------------------------------------------------------ # Summarize gyration radius results summary(GR) ## ----gyrad pdf---------------------------------------------------------------- # Create a pdf plot of gyration radius values pdf.gr <- plotPDF((GR$`rG_(km)`), desc="gyrationRad") ## ----ent---------------------------------------------------------------------- # Calculate track entropy using default parameters Ent <- entropy(tracks) ## ----ent head----------------------------------------------------------------- # Summarise entropy results summary(Ent) ## ----ent pdf------------------------------------------------------------------ # Create a pdf plot of the entropy scores pdf.ent <- plotPDF(Ent$normalisedEntropy, desc="entropy") ## ----predict------------------------------------------------------------------ # Track predictability using predictability() default parameters and the output from entropy() Pred <- predictability(tracks, Ent) ## ----predict head------------------------------------------------------------- # Summarize predictability scores summary(Pred) ## ----predict pdf-------------------------------------------------------------- # Create a pdf plot of the predictability scores pdf.pred <- plotPDF(Pred$predictability, desc="predictability")