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# Rainer Walke, MPIDR Rostock
library(data.table)
library(eoR)
####
# example and trials
# read all information from the file fltper_1x1
# example data source: Human Mortality Database https://www.mortality.org/
# period life tables 1x1 female
infile <- file.path(system.file(package="eoR"), "extdata", "DEUTNP.fltper_1x1.txt")
o1 <- readLT1x1(infile)
length((o1))
o1
header(o1)
lt1(o1)
# descriptive tables and a ranges
lt1(o1)[, table(Year)]
lt1(o1)[, table(Age)]
lt1(o1)[, range(ex)]
content(o1)
region(o1)
protocol(o1)
# select some years
(o2 <- selectYears(o1, c(1999,2000)))
# descriptive tables and a ranges
lt1(o2)[, table(Year)]
lt1(o2)[, table(Age)]
lt1(o2)[, range(ex)]
lt1(o2)
class(o1)
showClass("LT1")
showMethods("length")
# read all information from the file Exposures_1x1
# example data source: Human Mortality Database https://www.mortality.org/
# period life tables 1x1 female
infile2 <- file.path(system.file(package="eoR"), "extdata", "DEUTNP.Exposures_1x1.txt")
e1 <- readEX1x1(infile2)
length((e1))
e1
header(e1)
ex1(e1)
# descriptive tables and a ranges
ex1(e1)[, table(Year)]
ex1(e1)[, table(Age)]
ex1(e1)[, range(AgeLow)]
content(e1)
region(e1)
protocol(e1)
# select some years
(e2 <- selectYears(e1, c(1999,2000)))
# descriptive tables and a ranges
ex1(e2)[, table(Year)]
ex1(e2)[, table(Age)]
ex1(e2)[, range(AgeLow)]
ex1(e2)
class(e1)
showClass("EX1")
showMethods("length")
# read all information from 'GENESIS-Tabelle: 12613-02-02-4'
# Statistische Ämter des Bundes und der Länder, Deutschland, 2019
# Gestorbene nach Geschlecht, Nationalität und Altersgruppen -
# Jahressumme - regionale Tiefe: Kreise und krfr. Städte
infile3 <- file.path(system.file(package="eoR"), "extdata", "12613-02-02-4.csv")
d1 <- readRegDeath(infile3)
length((d1))
d1
header(d1)
footer(d1)
rd1(d1)
# descriptive tables and a ranges
rd1(d1)[, table(Year)]
rd1(d1)[, table(Age_Name)]
rd1(d1)[, range(AgeLow)]
content(d1)
region(d1)
protocol(d1)
# select some years
(d2 <- selectYears(d1, c(2016)))
# descriptive tables and a ranges
rd1(d2)[, table(Year)]
rd1(d2)[, table(Age_Name)]
rd1(d2)[, range(AgeLow)]
rd1(d2)
# select a reagion
(d3 <- selectRegion(d2, "13003"))
# descriptive tables and a ranges
rd1(d3)[, table(Year)]
rd1(d3)[, table(Age_Name)]
rd1(d3)[, range(AgeLow)]
rd1(d3)
class(d1)
showClass("RD1")
showMethods("length")
# read all information from 'GENESIS-Tabelle: 12411-03-03-4'
# Statistische Ämter des Bundes und der Länder, Deutschland, 2019
# Bevölkerung nach Geschlecht, Nationalität und Altersgruppen
infile4 <- file.path(system.file(package="eoR"), "extdata", "12411-03-03-4.csv")
r1 <- readRegExp(infile4)
length((r1))
r1
header(r1)
footer(r1)
re1(r1)
##
# descriptive tables and a ranges
re1(r1)[, table(Year)]
re1(r1)[, table(Age_Name)]
re1(r1)[, range(AgeLow)]
content(r1)
region(r1)
protocol(r1)
# select some years
(r2 <- selectYears(r1, c(2016)))
# descriptive tables and a ranges
re1(r2)[, table(Year)]
re1(r2)[, table(Age_Name)]
re1(r2)[, range(AgeLow)]
re1(r2)
# select a reagion
(r3 <- selectRegion(r2, "13003"))
# descriptive tables and a ranges
re1(r3)[, table(Year)]
re1(r3)[, table(Age_Name)]
re1(r3)[, range(AgeLow)]
re1(r3)
class(r1)
showClass("RE1")
showMethods("length")
sessionInfo()