prepare_analysis: Prepare all datasets and a to do list of models
In inbo/abvanalysis: Analysis of the Common Breeding Bird Survey

prepare_analysis

R Documentation

Prepare all datasets and a to do list of models

Description

Prepare all datasets and a to do list of models

Usage

prepare_analysis(
  repo,
  base,
  project,
  overwrite = FALSE,
  seed = 20070315,
  verbose = TRUE,
  min_observation = 100,
  min_stratum = 3,
  min_cycle = 2,
  proportion = 0.15,
  scheme_id = "ABV",
  volume,
  docker = "inbobmk/rn2k:0.7",
  dependencies = c("inbo/n2khelper@v0.4.3", "inbo/n2kanalysis@v0.2.9")
)

Arguments

`repo`	a `git2rdata::repository()` object
`base`	The base location to store the model.
`project`	Will be a relative path within the base location.
`overwrite`	Should an existing object be overwritten? Defaults to `TRUE`.
`seed`	The seed for the analysis. Defaults to `20070315`.
`verbose`	display the progress
`min_observation`	The minimum number of observations for taking a species into account. Defaults to `100`.
`min_stratum`	The required minimum number of relevant locations per stratum. Defaults to `3`.
`min_cycle`	Minimum number of cycles in which a species must be found at a square. Square with sightings from fewer cycles will be ignored. Defaults to `2`.
`proportion`	Minimum proportion of the least important period. Defaults to `0.15`.
`scheme_id`	a string with the scheme id.
`volume`	The argument passed to the '-v' of docker. Only used when `base` is a local file system.
`docker`	The docker image to use during model fit.
`dependencies`	A vector of R packages as understood by the `repo` argument of `remotes::install_github()`.