calcLAD: Calculate summary statistics from measured leaf inclination...

In LAD: Derive Leaf Angle Distribution (LAD) from Measured Leaf Inclination Angles

Calculate summary statistics from measured leaf inclination angles

Description

The function derives summary statistics from measured leaf inclination angles:.

• Mean (MTA), standard deviation (SD) and frequency (NR) observations.

• The two (mu, nu) Beta parameters derived from the formula provided by Goel and Strebel (1984) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2134/agronj1984.00021962007600050021x")}.

• The distribution type, comparing the distribution against the six theoretical LAD distributions provided by de Wit (1965).

Arguments

data	Dataframe. The dataframe containing leaf inclination angle measurements.
angles	Numeric. The column containing leaf inclination angle measurements (in degrees).
type	Character. If set to "summary", it gives summary distributions. If set to "extended", it calculates LAD probability density (pdf) and G-function (G) for view or inclination angles (theta). Default set to "summary".
...	The column(s) indicating the grouping variables to be considered for calculating summary statistics.

Value

A dataframe with the grouping variable(s), and:

• summary statistics (MTA, SD, N, mu, nu, distribution) in case of type="summary";

• LAD (pdf) and G-function (G) in case of type="extended".

Examples

head(Chianucci)

calcLAD(Chianucci,Angle_degree,type='summary',Genus,Species)
calcLAD(Chianucci,Angle_degree,type='extended',Genus,Species)

LAD documentation built on July 9, 2023, 7:33 p.m.