get_wcde {wcde} | R Documentation |
Download data from the Wittgenstein Centre Human Capital Data Explorer
Description
Downloads data from the Wittgenstein Centre Human Capital Data Explorer. Requires a working internet connection.
Usage
get_wcde(
indicator = "pop",
scenario = 2,
country_code = NULL,
country_name = NULL,
pop_age = c("total", "all"),
pop_sex = c("total", "both", "all"),
pop_edu = c("total", "four", "six", "eight"),
include_scenario_names = FALSE,
server = c("iiasa", "github", "1&1", "search-available", "iiasa-local"),
version = c("wcde-v3", "wcde-v2", "wcde-v1")
)
Arguments
indicator |
One character string based on the |
scenario |
Vector of length one or more with numbers corresponding the scenarios. See details for more information. Defaults to 2 for the SSP2 Medium scenario. |
country_code |
Vector of length one or more of country numeric codes based on ISO 3 digit numeric values. |
country_name |
Vector of length one or more of country names. The corresponding country code will be guessed using the countrycodes package. |
pop_age |
Character string for population age groups if |
pop_sex |
Character string for population sexes if |
pop_edu |
Character string for population educational attainment if |
include_scenario_names |
Logical vector of length one to indicate if to include additional columns for scenario names and short names. |
server |
Character string for server to download from. Defaults to |
version |
Character string for version of projections to obtain. Defaults to |
Details
If no country_name
or country_code
is provided data for all countries and regions are downloaded. A full list of available countries and regions can be found in the wic_locations
data frame.
indicator
must be set to a value in the first column in the table below of available demographic indicators:
indicator | Indicator Description |
pop | Population Size (000's) |
bpop | Population Size by Broad Age (000's) |
epop | Population Size by Education (000's) |
prop | Educational Attainment Distribution |
bprop | Educational Attainment Distribution by Broad Age |
growth | Average Annual Growth Rate |
nirate | Average Annual Rate of Natural Increase |
sexratio | Sex Ratio |
mage | Population Median Age |
tdr | Total Dependency Ratio |
ydr | Youth Dependency Ratio |
odr | Old-age Dependency Ratio |
ryl15 | Age When Remaining Life Expectancy is Below 15 years |
pryl15 | Proportion of Population with a Remaining Life Expectancy below 15 Years |
mys | Mean Years of Schooling by Age |
bmys | Mean Years of Schooling by Broad Age |
ggapmys15 | Gender Gap in Mean Years Schooling (15+) |
ggapmys25 | Gender Gap in Mean Years Schooling (25+) |
ggapedu15 | Gender Gap in Educational Attainment (15+) |
ggapedu25 | Gender Gap in Educational Attainment (25+) |
tfr | Total Fertility Rate |
etfr | Total Fertility Rate by Education |
asfr | Age-Specific Fertility Rate |
easfr | Age-Specific Fertility Rate by Education |
cbr | Crude Birth Rate |
macb | Mean Age at Childbearing |
emacb | Mean Age at Childbearing by Education |
e0 | Life Expectancy at Birth |
cdr | Crude Death Rate |
assr | Age-Specific Survival Ratio |
eassr | Age-Specific Survival Ratio by Education |
net | Net Migration |
netedu | Net Migration Flows by Education |
emi | Emigration Flows |
imm | Immigration Flows |
See wic_indicators
data frame for more details.
scenario
must be set to one or values in the first column table below of the available future scenarios:
scenario | description | version |
1 | Rapid Development (SSP1) | V1, V2, V3 |
2 | Medium (SSP2) | V1, V2, V3 |
3 | Stalled Development (SSP3) | V1, V2, V3 |
4 | Inequality (SSP4) | V1, V3 |
5 | Conventional Development (SSP5) | V1, V3 |
20 | Medium - Constant Enrollment Rate (SSP2-CER) | V1 |
21 | Medium - Fast Track Education (SSP2-FT) | V1 |
22 | Medium - Zero Migration (SSP2-ZM) | V2, V3 |
23 | Medium - Double Migration (SSP2-DM) | V2, V3 |
See wic_scenarios
data frame for more details.
Value
A tibble with the data selected.
Examples
# SSP2 tfr for Austria and Bulgaria
get_wcde(indicator = "tfr", country_code = c(40, 100))
# SSP1 and SSP2 life expectancy for Vietnam and United Kingdom (guessing the country codes)
get_wcde(scenario = c(1, 2), indicator = "e0", country_name = c("Vietnam", "UK"))
# SSP1 and SSP3 population by education for all countries
get_wcde(scenario = c(1, 3), indicator = "tfr")
# population totals (aggregated over age, sex and education)
get_wcde(indicator = "pop", country_name = "Austria")
# population totals by education group
get_wcde(indicator = "pop", country_name = "Austria", pop_edu = "four")
# population totals by age-sex group
get_wcde(indicator = "pop", country_name = "Austria", pop_age = "all", pop_sex = "both")