mobw.kg {CatDyn} | R Documentation |
Using a data.frame with paired observations of length and weight of individuals, and a second data.frame with paired observations of length and month of individuals, predict the mean weight per month in kg and its standard error.
mobw.kg(par, lenw, lenm, method, span)
par |
Numeric vector length 2 with the initial values for parameters of the length-weight relationship. |
lenw |
Numeric data.frame with paired observations of length and weight (kg). |
lenm |
Numeric data.frame with paired observations of length and month in numeric format. |
method |
Character, the numerical method to fit the length-weight relationship. Use one of the following: BFGS,CG,Nelder-Mead,SANN. |
span |
The span parameter of the loess function to fit the length-month relationship. |
The length data in lenw and lenm must be in the same units.
A data.frame with five columns: month, predicted mean weight from the length data and the length-weight relationship, its standard error, smoothed mean length from the loess fit of the length-month relationship, and its standard error.
Ruben H. Roa-Ureta (ORCID ID 0000-0002-9620-5224)
data(gayhakelm) data(gayhakelw) par <- c(4e-4,2.9) method <- "SANN" span <- 1 chihake.mobw <- mobw.kg(par=par, lenw=gayhakelw, lenm=gayhakelm, method=method, span=span)