sum_region: Summary of regional in-, out-, turnover and net-migration...

View source: R/sum_region.R

sum_regionR Documentation

Summary of regional in-, out-, turnover and net-migration totals from an origin-destination migration flow matrix or data frame.

Description

Summary of regional in-, out-, turnover and net-migration totals from an origin-destination migration flow matrix or data frame.

Usage

sum_region(
  m,
  drop_diagonal = TRUE,
  orig = "orig",
  dest = "dest",
  flow = "flow",
  international = FALSE,
  include_net = TRUE,
  na_rm = TRUE
)

sum_country(
  m,
  drop_diagonal = TRUE,
  orig = "orig",
  dest = "dest",
  flow = "flow",
  include_net = TRUE,
  international = TRUE,
  na_rm = TRUE
)

sum_unilat(
  m,
  drop_diagonal = TRUE,
  orig = "orig",
  dest = "dest",
  flow = "flow",
  include_net = TRUE,
  international = TRUE,
  na_rm = TRUE
)

Arguments

m

A matrix or data frame of origin-destination flows. For matrix the first and second dimensions correspond to origin and destination respectively. For a data frame ensure the correct column names are passed to orig, dest and flow.

drop_diagonal

Logical to indicate dropping of diagonal terms, where the origin and destination are the same, in the calculation of totals. Default TRUE.

orig

Character string of the origin column name (when m is a data frame rather than a matrix)

dest

Character string of the destination column name (when m is a data frame rather than a matrix)

flow

Character string of the flow column name (when m is a data frame rather than a matrix)

international

Logical to indicate if flows are international.

include_net

Logical to indicate inclusion of a net migration total column for each region, in addition to the total in- and out-flows. Default TRUE.

na_rm

Logical to indicate if to remove NA values in m when calculating in and out migration flow totals. Default set to TRUE.

Value

A tibble with total in-, out- and turnover of flows for each region.

Examples

# matrix
r <- LETTERS[1:4]
m <- matrix(data = c(0, 100, 30, 70, 50, 0, 45, 5, 60, 35, 0, 40, 20, 25, 20, 0),
            nrow = 4, ncol = 4, dimnames = list(orig = r, dest = r), byrow = TRUE)
m
sum_region(m)

## Not run: 
# data frame (tidy) format
library(tidyverse)

# download Abel and Cohen (2019) estimates
f <- read_csv("https://ndownloader.figshare.com/files/38016762", show_col_types = FALSE)
f

# single period
f %>%
  filter(year0 == 1990) %>%
  sum_country(flow = "da_pb_closed")

# all periods using group_by
f %>%
  group_by(year0) %>%
  sum_country(flow = "da_pb_closed")

## End(Not run)

gjabel/migest documentation built on Feb. 10, 2025, 12:39 p.m.