create_calendar: Complete empty calendar

In Redcart/helda: Preprocess Data and Get Better Insights from Machine Learning Models

Complete empty calendar

Description

This function allows to create a complete empty calendar on a year scale

Usage

create_calendar(data, key_variable, time_variable, start_year, end_year)

Arguments

data	a R data frame.
key_variable	a character. This represents the variable name that refers to the key variable in the panel data (an ID, ...).
time_variable	a character. This represents the time variable name that permits to sort observation on a time scale.
start_year	integer of the starting year of the time series.
end_year	integer of the ending year of the time series.

Value

a R data frame with the key and time variable. Each id key is associated with all years between start_year and end_year.

Author(s)

Simon CORDE

References

Link to the author's github package repository: https://github.com/Redcart/helda

See Also

start_end_to_fill gap_to_fill

Examples

library(dplyr)

# We take three countries from 2011 to 2018
fr_sp_ge_pop <- world_countries_pop %>%
filter(country_name %in% c('France', 'Spain', 'Germany')) %>%
filter(year > 2010) %>%
arrange(country_name, year)

# We artificially create some gaps in time series
fr_sp_ge_pop$population[c(1, 5, 11, 12, 24)] <- NA
fr_sp_ge_pop <- na.omit(fr_sp_ge_pop)

data_1 <- create_calendar(data = fr_sp_ge_pop, key_variable = "country_code",
time_variable = "year", start_year = 2011, end_year = 2018)
data_2 <- start_end_to_fill(data = fr_sp_ge_pop, calendar = data_1, gap_variable = "population",
key_variable = "country_code", time_variable = "year")
data_3 <- gap_to_fill(data = data_2, gap_variable = "population_corrected_1",
key_variable = "country_code", time_variable = "year", digits = 1)

Redcart/helda documentation built on March 3, 2023, 11:55 p.m.