Examples
For those who want to have an overview of their data and prepare them for an analysis of precision, the standard way of writing a COST script is to organise the script following WKCOST recommendation and naming headers as follows:
A - Importation of a dataset
B - Exploratory analysis
C - Stratification
D - Estimation
E - Organisation of the results
The examples below are all organised follwing this sectionning structure. Some of the data sources used for the examples are included in some package, or in the dedicated COSTdata package; otherwise, the R object containing the dataset is provided
Script | Data Source | |
|---|---|---|
Analysis Market Sampling Strategy Commercial Category (Analytical method) | COSTcore | |
Analysis Market Sampling Strategy Commercial Category (Bootstrap method) | COSTcore | |
Analysis Market Sampling Strategy Métier (Analytical method) | ||
Analysis Market Sampling Strategy Métier (Bootstrap method) | ||
Analysis Market Sampling in Mediterranean (Analytical method) | Download | |
Analysis Market Sampling in Mediterranean (Bootstrap method) | Download | |
Analysis On-board Sampling Commercial vessels (Analytical method) | COSTcore | |
Analysis On-board Sampling Commercial vessels (Bayesian method) | COSTmbe | |
Analysis Biological parameters (Analytical method) | COSTcore | |
Analysis of Biological parameters (Bootstrap method) | COSTcore | |
Raising to the sampled trips (for ICES assessment WG) | ||
Multinomial analysis of Age Length Keys | ||
Test of the methods for On-board Sampling |