convergEU (version 0.7.3.2)

abso_change: Absolute change

Description

Given a dataframe of quantitative indicators along time, the absolute change is calculated. A time variable must be present and sorted. Missing values are not allowed. All other columns are indicator values in each considered country.

Usage

abso_change(tavDes, time_0, time_t, all_within = TRUE, timeName = "time")

Value

a list of absolute changes for each country, the sum of absolute values and the average per pairs of years.

Arguments

tavDes

the sorted dataframe time by countries. No other variables besides time and countries' indicator must be present.

time_0

reference time

time_t

focus time strictly larger than time_0

all_within

is TRUE is several times are considered within the specified interval (default), otherwise FALSE; the reference time remains time_0.

timeName

the name of the variable that contains time information

References

https://www.eurofound.europa.eu/system/files/2022-04/introduction-to-the-convergeu-package-0.6.4-tutorial-v2-apr2022.pdf

Examples

# Example 1
# Sorted dataframe in the format years by countries:
require(tibble)
testTB <- dplyr::tribble(
~years, ~countryA ,  ~countryB,  ~countryC,
2000,     0.8,   2.7,    3.9,
2001,     1.2,   3.2,    4.2,
2002,     0.9,   2.9,    4.1,
2003,     1.3,   2.9,    4.0,
2004,     1.2,   3.1,    4.1,
2005,     1.2,   3.0,    4.0)

# Absolute change for each country with time_0=2000 and time_t=2005:
mySTB<-abso_change(tavDes=testTB,time_0=2000, time_t=2005, timeName ="years")

# The component "res" is a list of absolute changes for each country,
# the sum of absolute values and the average per pairs of years:
names(mySTB$res)

# Absolute change for each country with time_0=2002 and time_t=2005:
mySTB1<-abso_change(tavDes=testTB,time_0=2002, time_t=2005, timeName="years")

# If all_within is FALSE, only times 2002 and 2005 are considered:
mySTB2<-abso_change(tavDes=testTB,time_0=2002, time_t=2005, all_within =FALSE, timeName="years")

# Example 2
# Absolute changes of Member States for the emp_20_64_MS Eurofound dataset:
data(emp_20_64_MS)
mySTB3 <- abso_change(emp_20_64_MS,time_0 = 2005,time_t = 2010,timeName = "time")
mySTB4 <- abso_change(emp_20_64_MS,time_0 = 2007,time_t = 2012,timeName = "time")