Description Usage Format Details Source References Examples
Suicide Rates in the Republic of Ireland 1989-1998.
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A data frame with 104 observations on the following 8 variables.
Regiona factor with levels Cork , Dublin , EHB - Dub., Galway, Lim., Mid HB, MWHB-Lim., NEHB, NWHB, SEHB-Wat., SHB-Cork, Waterf., WHB-Gal..
IDa factor with levels 1 2 3 4 5 6 7 8 9 10 11 12 13 corresponding to Regions.
popa numeric vector giving the population sizes (estimated for 1994).
deatha numeric vector giving the total number of deaths.
sexa factor for gender with levels 0 (female) and 1 (male).
agea factor for age with levels 1 (0-29), 2 (30-39), 3 (40-59), 4 (60+ years).
smra numeric vector with standardized mortality ratios (SMRs)
expecteda numeric vector with ‘expected’ number of cases obtained from a reference population (Ahlbom, 1993).
The data set is examined in Sofroniou et al. (2006), using a variance component model with regions as upper level.
Institute of Public Health in Ireland (2005). All Ireland Mortality Database. Retrieved August 8, 2005.
Ahlbom, A., (1993). Biostatistics for Epidemiologists. Boca Raton: Lewis Publishers.
Sofroniou, N., Einbeck, J., and Hinde, J. (2006). Analyzing Irish Suicide Rates with Mixture Models. Proceedings of the 21st Workshop on Statistical Modelling in Galway, Ireland, 2006.
1 2 3 4 5 6 | data(irlsuicide)
library(lattice)
trellis.device(color=FALSE)
plot2age<-rep(gl(4,2),13)
xyplot(irlsuicide$death/irlsuicide$pop~plot2age|irlsuicide$Region,
pch=(1+(irlsuicide$sex==1)),xlab="age",ylab="Crude rates")
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