run_calibr: Survey dataset by species group and summaries

In marcnadon/Calibr: Standardization of population abundance datasets

Description

Using the input survey dataset, the function does three major tasks. First, it splits the input dataset by its GROUP value. The split dataset is used for the remaining tasks: Summarizing the Gear Calibration Vaules (GCF) and Observed Per Unit Effort (OPUE) by species group with positive observations, plus giving a summary of total REP for each species group.

Usage

run_calibr(SET, std_method, stat_model = c("GLM", "GLMM"),
  min_obs = 10, n_sample = 5, parallel = TRUE)

Arguments

SET	Survey Dataset
std_method	Denotes Survey dataset METHOD string as the Standard METHOD
stat_model	Type of Generalized Linear Model used.
min_obs	Minimum limit for the number of observations.
n_sample	Number of Samples
parallel	If avialable, the option to enable/disable parallelize glm/glmm process. Default is TRUE.

Value

List object with three items:

• A list containing the Survey dataset split by species group.

• A data.table object with the GCF and OPUE summaries by species group with positive observations.

• Data frame summation of number of REP by species group.

marcnadon/Calibr documentation built on Nov. 4, 2019, 5:22 p.m.