mobw.kg {CatDyn} | R Documentation |

## Mean body weight per month

### Description

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.

### Usage

```
mobw.kg(par, lenw, lenm, method, span)
```

### Arguments

`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. |

### Details

The length data in lenw and lenm must be in the same units.

### Value

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.

### Author(s)

Ruben H. Roa-Ureta (ORCID ID 0000-0002-9620-5224)

### Examples

```
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)
```

*CatDyn*version 1.1-1 Index]