PrefYLL2015 {fmsb} | R Documentation |
The data gives years of life lost by several causes in Japan 2015 for each prefecture. There are several definitions of YLL. For example, WHO's Global Burden of Disease defines the YLL as the number of deaths multiplied by the standard life expectancy at the age at which death occurs, for a given cause, age and sex (WHO). However, Japanese Ministry of Health, Labor and Welfare gives the expected increase of the life expectancy at birth if the mortality due to each cause of death is removed from the age-specific mortality as the measure of YLL, and thus this dataset implements such data derived from the report of regional life tables in Japan (Ministry of Health, Labor and Welfare, 2015).
PrefYLL2015
A data frame with 47 observations on 26 variables.
[, 1] | PNAME | factor w/47 levels | The name (in roma-ji) for prefectures |
[, 2] | JCODE | numeric | Prefecture number defined by Geographical Information Authority of Japan |
[, 3] | CancerM | numeric | Years of Life Lost (YLL) of males by cancer |
[, 4] | CardioM | numeric | Years of Life Lost (YLL) of males by heart diseases except for hypertention |
[, 5] | CerebroM | numeric | Years of Life Lost (YLL) of males by cerebrovascular disease |
[, 6] | PneumoniaM | numeric | Years of Life Lost (YLL) of males by pneumonia |
[, 7] | AccidentM | numeric | Years of Life Lost (YLL) of males by accident |
[, 8] | TrafficM | numeric | Years of Life Lost (YLL) of males by traffic accidents |
[, 9] | SuicideM | numeric | Years of Life Lost (YLL) of males by suicide |
[,10] | KidneyM | numeric | Years of Life Lost (YLL) of males by kidney failure |
[,11] | LiverM | numeric | Years of Life Lost (YLL) of males by liver disease |
[,12] | DiabetesM | numeric | Years of Life Lost (YLL) of males by diabetes |
[,13] | HypertensM | numeric | Years of Life Lost (YLL) of males by hypertension |
[,14] | TBM | numeric | Years of Life Lost (YLL) of males by tuberculosis |
[,15] | CancerF | numeric | Years of Life Lost (YLL) of females by cancer |
[,16] | CardioF | numeric | Years of Life Lost (YLL) of females by heart diseases except for hypertention |
[,17] | CerebroF | numeric | Years of Life Lost (YLL) of females by cerebrovascular disease |
[,18] | PneumoniaF | numeric | Years of Life Lost (YLL) of females by pneumonia |
[,19] | AccidentF | numeric | Years of Life Lost (YLL) of females by accident |
[,20] | TrafficF | numeric | Years of Life Lost (YLL) of females by traffic accidents |
[,21] | SuicideF | numeric | Years of Life Lost (YLL) of females by suicide |
[,22] | KidneyF | numeric | Years of Life Lost (YLL) of females by kidney failure |
[,23] | LiverF | numeric | Years of Life Lost (YLL) of females by liver disease |
[,24] | DiabetesF | numeric | Years of Life Lost (YLL) of females by diabetes |
[,25] | HypertensF | numeric | Years of Life Lost (YLL) of females by hypertension |
[,26] | TBF | numeric | Years of Life Lost (YLL) of females by tuberculosis |
Years of Life Lost by several causes in Japan 2015 for each prefecture.
PNAME
: The name (in roma-ji) for prefectures.
JCODE
: Prefecture number defined by Geographical Information Authority of Japan.
From 1 to 47.
Cancer[M|F]
: YLL by cancer for males ([M]) or for females ([F]).
Cardio[M|F]
: YLL by heart disease for males ([M]) or for females ([F]).
Cerebro[M|F]
: YLL by cerebrovascular disease for males ([M]) or for females ([F]).
Peumonia[M|F]
: YLL by pneumonia for males ([M]) or for females ([F]).
Accident[M|F]
: YLL by accidents for males ([M]) or for females ([F]).
Traffic[M|F]
: YLL by traffic accidents (it's also included in Accident[M|F]
for males ([M]) or for females ([F]).
Suicide[M|F]
: YLL by suicide for males ([M]) or for females ([F]).
Kidney[M|F]
: YLL by kidney failure for males ([M]) or for females ([F]).
Liver[M|F]
: YLL by liver disease for males ([M]) or for females ([F]).
Diabetes[M|F]
: YLL by diabates for males ([M]) or for females ([F]).
Hypertension[M|F]
: YLL by hypertension for males ([M]) or for females ([F]).
TB[M|F]
: YLL by tuberculosis for males ([M]) or for females ([F]).
http://www.mhlw.go.jp/toukei/saikin/hw/life/tdfk15/dl/tdfk15-09.xls
Ministry of Health, Labor and Welfare of Japan: Vital Statistics with Life Expectancy 2015. http://minato.sip21c.org/demography/how-to-make-pref-charts.html (in Japanese) http://www.who.int/whosis/whostat2006YearsOfLifeLost.pdf WHO http://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/ (accessed on 2 April 2018)
require(fmsb) x <- PrefYLL2015 COL <- ifelse(x$PNAME=="Nagano", "blue", ifelse(x$PNAME=="Okinawa", "pink", ifelse(x$PNAME=="Shiga", "green", "lightgrey"))) LWD <- ifelse(x$PNAME=="Nagano", 2, ifelse(x$PNAME=="Okinawa", 2, ifelse(x$PNAME=="Shiga", 2, 1))) LTY <- ifelse(x$PNAME=="Nagano", 1, ifelse(x$PNAME=="Okinawa", 1, ifelse(x$PNAME=="Shiga", 1, 3))) VX <- c("Cancer","Heart\n Disease","Cerebrovascular\n Disease","Pneumonia", "Accident","(Traffic\n Accident)","Suicide","Kidney\n Failure","Liver\n Disease", "Diabetes","Hypertension","Tuberculosis") males <- x[,3:14] females <- x[,15:26] layout(t(1:2)) radarchart(males, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX, title="YLLs in males (2015)\n (Blue: Nagano, Green: Shiga,\n Pink: Okinawa, Gray: Others)") radarchart(females, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX, title="YLL in females (2015)\n (Blue: Nagano, Green: Shiga,\n Pink: Okinawa, Gray: Others)")