Skip to contents

Import, parse, and save port data to FishSET database

Source: R/data_parser.R
load_port.Rd

A project must exist before running load_port(). See load_maindata to create a new project.

Usage

load_port(
  dat,
  port_name,
  project,
  over_write = TRUE,
  compare = FALSE,
  y = NULL
)

Arguments

dat

Dataset containing port data. At a minimum, must include three columns, the port names, and the latitude and longitude of ports. dat can be a filepath, a existing FishSET table, or a dataframe in the working environment.

port_name

Variable containing port names. Names should match port names in primary dataset.

project

String, name of project.

over_write

Logical, if TRUE, saves over data table previously saved in the FishSET database.

compare

Logical, should new data be compared to previously saved dataframe y.

y

Name of previously saved table in FishSET database. y must be defined if compare is TRUE.

Details

Runs a series of checks on the port data. The function checks that each row is unique, that no variables are empty, and that column names are case-insensitive unique. There data issues are resolved before the data is saved to the database. If checks pass, runs the fishset_compare function and saves the new data frame to the FishSET database. The data is saved in the FishSET database as the raw data and the working data. The naming convention for port tables is "projectPortTable". Date is also attached to the name for the raw data. See table_view to view/load port tables into the working environment.

See also

table_view, load_maindata, write_dat

Examples

if (FALSE) {
load_port(PortTable, over_write = TRUE, project  ='pollock',
          compare = TRUE, y = 'pollockPortTable01012011')
}