mores: Mortality Data in Spain

In pamctdp: Principal Axes Methods for Contingency Tables with Partition Structures on Rows and Columns

Description

Structured Contingency Table: in rows years (1995, 2005) by regions(17); in columns sex by age by causes

Usage

data(mores)

Format

mores is a list with 6 components.

tab

is a data frame containing mortality table with 34 rows and 55 columns.

SexAgeCause

mnemonic label to the column in Spanish and English.

community

mnemonic label to the communities in Spanish and English.

develop

is a data frame containing gross value per capita, percentage of illiterate people and percentage of unemployed in the active population

rbl

is a vector containing the repartition of regions for the two years: 1995, 2005.

cbl

is a vector containing the repartition of causes for the 4 groups: male premature mortality, male no premature mortality, female premature mortality, female no premature mortality.

rblfac

is a factor for rows (2 years).

cblfac

is a factor for columns (4 groups).

SpaDev

Spanish labels of the three development indicators.

Source

Eurostat and INE of España

References

Becue, M. and Pages, J. (2004). A principal axes method for comparing multiple contingency tables: MFACT Comp. Statistics & Data Analysis. 45(3): 481-503

pamctdp documentation built on May 1, 2019, 10:19 p.m.