Estimating a (Standardised) Major Axis

Functions used to fit allometric lines

ma()

Major axis estimation and testing for one or several samples

sma()

(Standardized) major axis estimation and testing for one or several samples

meas.est()

Measurement error variance estimation from repeated measures

summary(<sma>)

Print a summary

coef(<sma>)

Extract coefficients from a 'sma' or 'ma' fit

print(<sma>)

Print an object of class 'sma'.

predict(<sma>)

Predicting from an (Standardized) major axis estimation

fitted(<sma>)

Returns fitted values

confint(<sma>)

Returns confidence intervals for sma object

residuals(<sma>)

Extract model residuals

Testing and making inferences about (S)MA

Functions used to perform hypothesis testing using estimated lines

slope.test()

One-sample test of a (standardised) major axis slope

slope.com()

Common slope test amongst several allometric lines

elev.test()

One-sample test of a (standardised) major axis elevation

elev.com()

Test for equal elevation among several lines fitted with (standardised) major axes of common slope.

shift.com()

Test for no mean shift along a common (standardised) major axis

line.cis()

Slope and elevation of a (standardised) major axis, with confidence intervals

Looking at your estimated (S)MA

Functions for visualisation axes

plot(<sma>)

Draw an X-Y plot

multcompmatrix()

Multiple comparisons graphical matrix

Datasets

Example datasets included with smatr

leaflife

Leaf longevity and leaf mass per area for plant species from different sites

leafmeas

Leaf mass per area and photosynthetic rate for plant species from different sites