Created
December 1, 2017 08:24
-
-
Save AngelBerihuete/02324aa2a110c61118d728861535563a to your computer and use it in GitHub Desktop.
[rtip] Macro-regions analysis
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
require(rtip) | |
data(LCS2014) | |
# Set up dataset for Spain | |
ESdataset <- setupDataset(LCS2014, country = "ES") | |
# Set up dataset for Andalusia according to code in NUTS-2 | |
# | |
# https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Spain | |
ES64dataset <- setupDataset(LCS2014, country = "ES", region = "ES64") | |
# macro-region according to code ES1 in NUTS-1: | |
# Galicia, Principality of Asturias and Cantabria | |
# | |
# https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Spain | |
ES11dataset <- setupDataset(LCS2014, country = "ES", region = "ES11") | |
ES12dataset <- setupDataset(LCS2014, country = "ES", region = "ES12") | |
ES13dataset <- setupDataset(LCS2014, country = "ES", region = "ES13") | |
ES1dataset <- rbind(ES11dataset, ES12dataset, ES13dataset) | |
# Then it's possible to do a statistical hypothesis testing involving | |
# Andalusia (ES64) and the macro-region (ES1) | |
testTIP(ES64dataset, ES1dataset, same.arpt.value = arpt(ESdataset)) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment