Function reference • angler

All functions

AllomCorrBootStat(): Bootstrap statistic for SShD and allometry vector correlation

AllomSShDCorr(): Calculating the absolute vector correlation between the allometry vector and the total SShD vector

ConvertSexFormat(): Convert sex data to character format used by all angler functions

EffectShape(): Effect Size of Sexual Shape Dimorphism

EffectSize(): Effect Size of Sexual Size Dimorphism

MagSexDiffStat(): Calculating the bootstrap statistic of the magnitude ratio of male and female shape

MagSexDiffwSE(): Magnitude difference between mean shape of sexes and its Standard Error via a Bootstrap

MagSexRatioStat(): Calculating the bootstrap statistic for the magnitude difference

MagSexRatiowSE(): Magnitude ratio of the mean sex shapes and its Standard Error via a Bootstrap

PSDShape(): Pooled Standard Deviations of Shape

PSDSize(): Pooled Standard Deviation for Size with respect to Sex

SSDBootStat(): Calculating the bootstrap statistic for Sexual Size Dimorphism

SSDI(): Calculates the SDI measure of sexual size dimorphism (Lovich and Gibbons 1992). Male-biased sexual dimorphism is distinguished by a negative sign

SSDLM(): Linear model estimated values for mean male and female size

SSDLog(): Sexual Size Dimorphism Calculator: calculates the log ratio of sexual dimorphism, log(F/M) (adapted with alterations from Smith 1999). For the SDI (Lovich and Gibbons 1992), use SSDI.

SSDwSE(): Bootstrap-Resampled Estimated Standard Error for the SDI and Log SSD Ratios

SShDBootStat(): Calculating the bootstrap statistic for SShD (with median centering as the correction factor)

SShDLM(): Calculate an estimate of total sexual shape dimorphism using a linear model

SShDLM.allom(): Calculate allometry corrected SShD using a linear model. Common allometry is assumed here.

SShDwSE(): SShD and its Standard Error via a Bootstrap

SexVecComp(): A function that calculates three measures: the absolute vector correlation, the magnitude ratio and the difference in magnitude between the sexes

SexVecCorrStat(): Calculating the bootstrap statistic for the vector correlation between male and female mean shape

SexVecCorwSE(): Vector correlations between sexes and its Standard Error via a Bootstrap

StratSSD(): SSD Calculation stratified by Groups

StratSSDBootwSE(): Stratified Bootstrap-Resampled Estimated Standard Error for SSD

StratSShD(): Within-Group SShD calculation

StratSShD.allom(): Within-Group allometry corrected SShD calculation

StratSShDBoot(): Standard Error of stratified SShD

bootAllomCorr(): Bootstrapping for SShD and allometry vector correlation

bootEffectShape(): Bootstrapping for the Effect Size for SShD

bootEffectSize(): Bootstrapping for the Effect Size for SSD

bootMagSexDiff(): Bootstrapping the magnitude difference of mean male and female shape

bootMagSexRatio(): Bootstrapping the magnitude ratio of females and male shape

bootSSD(): Bootstrap Resampling for calculating SSD standard error

bootSShD(): Performing the Bootstrapping for SShD

bootSexVecCorr(): Bootstrapping the vector correlation between mean male and female shape

magnitude(): Function to calculate L2Norm

pupfish: Pupfish dataset

zeroSShDLM(): Calculates Shape Diversity regardless of Sex without an allometry correction

zeroSShDLM.allom(): Calculates Shape Diversity regardless of Sex with an allometry correction