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CCRStable_DPView_Kentucky.R
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CCRStable_DPView_Kentucky.R
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##########
##R CODE FOR COHORT CHANGE RATIO-BASED (HAMILTON-PERRY) WITH COMPONENTS AND STABLE POPULATION REVIEW SHINY APP - DIFFERENTIAL PRIVACY DEMONSTRATION DATA REVIEW - APPLIED TO KENTUCKY COUNTIES
##
##EDDIE HUNSINGER, JULY 2020 (UPDATED JANUARY 2022)
##https://edyhsgr.github.io/eddieh/
##
##APPLIED DEMOGRAPHY TOOLBOX LISTING FOR POPULATION PROJECTION MODEL AND CODE: https://applieddemogtoolbox.github.io/Toolbox/#CCRStable
##
##AN MS EXCEL SPREADSHEET THAT REPLICATES THE METHODS IS AVAILABLE AT:
##https://github.com/edyhsgr/CCRStable/blob/master/Oct2020Presentation/CCRAdjustmentSheet_December2021.xlsx
##
##IF YOU WOULD LIKE TO USE, SHARE OR REPRODUCE THIS CODE, PLEASE CITE THE SOURCE
##This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 International License (more information: https://creativecommons.org/licenses/by-sa/3.0/igo/).
##
##THERE IS NO WARRANTY FOR THIS CODE
##THIS CODE HAS NOT BEEN PEER-REVIEWED OR CAREFULLY TESTED - QUESTIONS AND COMMENTS ARE WELCOME, OF COURSE ([email protected])
##########
#install.packages("shiny")
library(shiny)
ui<-fluidPage(
tags$h3("Cohort Change Ratio-Based Stable Population Review Shiny App - Differential Privacy Demonstration Data Review, Kentucky Counties"),
p("Related information and ",
tags$a(href="https://www.r-project.org/", "R"),
"code available at: ",
tags$a(href="https://github.com/edyhsgr/CCRStable",
"CCRStable GitHub Repository"),
" and ",
tags$a(href="https://github.com/edyhsgr/DP2010DemoDataReview",
"DP2010DemoDataReview GitHub Repository"),
),
hr(),
sidebarLayout(
sidebarPanel(
radioButtons("radio","",c("Use published 2010 Census data" = 1, "Use 2010 Census Data with Differential Privacy (July 2020 release)" = 2),selected = 1),
hr(),
selectizeInput(inputId = "County", label = "County",
choices = c("Adair"="Adair County",
"Allen"="Allen County",
"Anderson"="Anderson County",
"Ballard"="Ballard County",
"Barren"="Barren County",
"Bath"="Bath County",
"Bell"="Bell County",
"Boone"="Boone County",
"Bourbon"="Bourbon County",
"Boyd"="Boyd County",
"Boyle"="Boyle County",
"Bracken"="Bracken County",
"Breathitt"="Breathitt County",
"Breckinridge"="Breckinridge County",
"Bullitt"="Bullitt County",
"Butler"="Butler County",
"Caldwell"="Caldwell County",
"Calloway"="Calloway County",
"Campbell"="Campbell County",
"Carlisle"="Carlisle County",
"Carroll"="Carroll County",
"Carter"="Carter County",
"Casey"="Casey County",
"Christian"="Christian County",
"Clark"="Clark County",
"Clay"="Clay County",
"Clinton"="Clinton County",
"Crittenden"="Crittenden County",
"Cumberland"="Cumberland County",
"Daviess"="Daviess County",
"Edmonson"="Edmonson County",
"Elliott"="Elliott County",
"Estill"="Estill County",
"Fayette"="Fayette County",
"Fleming"="Fleming County",
"Floyd"="Floyd County",
"Franklin"="Franklin County",
"Fulton"="Fulton County",
"Gallatin"="Gallatin County",
"Garrard"="Garrard County",
"Grant"="Grant County",
"Graves"="Graves County",
"Grayson"="Grayson County",
"Green"="Green County",
"Greenup"="Greenup County",
"Hancock"="Hancock County",
"Hardin"="Hardin County",
"Harlan"="Harlan County",
"Harrison"="Harrison County",
"Hart"="Hart County",
"Henderson"="Henderson County",
"Henry"="Henry County",
"Hickman"="Hickman County",
"Hopkins"="Hopkins County",
"Jackson"="Jackson County",
"Jefferson"="Jefferson County",
"Jessamine"="Jessamine County",
"Johnson"="Johnson County",
"Kenton"="Kenton County",
"Knott"="Knott County",
"Knox"="Knox County",
"Larue"="Larue County",
"Laurel"="Laurel County",
"Lawrence"="Lawrence County",
"Lee"="Lee County",
"Leslie"="Leslie County",
"Letcher"="Letcher County",
"Lewis"="Lewis County",
"Lincoln"="Lincoln County",
"Livingston"="Livingston County",
"Logan"="Logan County",
"Lyon"="Lyon County",
"Madison"="Madison County",
"Magoffin"="Magoffin County",
"Marion"="Marion County",
"Marshall"="Marshall County",
"Martin"="Martin County",
"Mason"="Mason County",
"McCracken"="McCracken County",
"McCreary"="McCreary County",
"McLean"="McLean County",
"Meade"="Meade County",
"Menifee"="Menifee County",
"Mercer"="Mercer County",
"Metcalfe"="Metcalfe County",
"Monroe"="Monroe County",
"Montgomery"="Montgomery County",
"Morgan"="Morgan County",
"Muhlenberg"="Muhlenberg County",
"Nelson"="Nelson County",
"Nicholas"="Nicholas County",
"Ohio"="Ohio County",
"Oldham"="Oldham County",
"Owen"="Owen County",
"Owsley"="Owsley County",
"Pendleton"="Pendleton County",
"Perry"="Perry County",
"Pike"="Pike County",
"Powell"="Powell County",
"Pulaski"="Pulaski County",
"Robertson"="Robertson County",
"Rockcastle"="Rockcastle County",
"Rowan"="Rowan County",
"Russell"="Russell County",
"Scott"="Scott County",
"Shelby"="Shelby County",
"Simpson"="Simpson County",
"Spencer"="Spencer County",
"Taylor"="Taylor County",
"Todd"="Todd County",
"Trigg"="Trigg County",
"Trimble"="Trimble County",
"Union"="Union County",
"Warren"="Warren County",
"Washington"="Washington County",
"Wayne"="Wayne County",
"Webster"="Webster County",
"Whitley"="Whitley County",
"Wolfe"="Wolfe County",
"Woodford"="Woodford County"
),
options = list(placeholder = "Type in a county to see graphs", multiple = TRUE, maxOptions = 5000, onInitialize = I('function() { this.setValue(""); }'))
),
selectInput("Sex", "Sex",
c(
"Total"="Total",
"Female"="Female",
"Male"="Male"
),
),
numericInput("STEP","Project to (year)",2030,2020,3000,step=5),
# selectInput("RatiosFrom", "Using ratios from",
# c(
# "2010 to 2015"="3",
# "2011 to 2016"="4",
# "2012 to 2017"="5",
# "2013 to 2018"="6",
# "2014 to 2019"="7"
# ),
# ),
hr(),
selectInput("ImposeTFR", "Impose iTFR? (fertility index)",
c(
"No"="NO",
"Yes"="YES"
),
),
numericInput("ImposedTFR","If Yes, iTFR level",2.1,0,10,step=.1),
numericInput("ImposedTFR_ar","If Yes, iTFR AR(1)",.00,0,.99,step=.01),
hr(),
numericInput("SRB","Projected sex ratio at birth",round((1-.4886)/.4886,3),0,2,step=.005),
hr(),
numericInput("NetMigrationAdjustLevel","Net migration adjustment (annual, percent of population)",0,-25,25,step=.1),
numericInput("GrossMigrationAdjustLevel","Gross migration adjustment (percent of net migration ratios)",100,0,200,step=10),
hr(),
selectInput("ImputeMort", "Impute mortality?",
c(
"Yes"="YES",
"No"="NO"
),selected="NO",
),
numericInput("BAStart","If yes, Brass' model alpha (mortality index) for First projection step...",.03,-2,2,step=.03),
numericInput("BAEnd","...and Brass' model alpha for Last projection step",.12,-2,2,step=.03),
hr(),
p("This interface was made with ",
tags$a(href="https://shiny.rstudio.com/",
"Shiny for R."),
tags$a(href="https://edyhsgr.github.io/",
"Eddie Hunsinger,"),
"July 2020 (updated January 2022)."),
p("Information including ",
tags$a(href="https://github.com/edyhsgr/CCRStable/tree/master/Oct2020Presentation",
"formulas, a spreadsheet demonstration, and slides for a related talk, "),
"as well as ",
tags$a(href="https://www.r-project.org/",
"R"),
"code with input files for several examples, including a ",
tags$a(href="https://shiny.demog.berkeley.edu/eddieh/CCRUnc/",
"stochastic version, "),
"an ",
tags$a(href="https://edyhsgr.shinyapps.io/CCRStable_ValView_Florida/",
"errors review version"),
"and a ",
tags$a(href="https://shiny.demog.berkeley.edu/eddieh/CCRStable_StateSingle_Florida/",
"single-year-of-age version, "),
"is all available in the ",
tags$a(href="https://github.com/edyhsgr/CCRStable",
"related GitHub repository.")),
p("Population estimates inputs from ",
tags$a(href="https://www.census.gov/programs-surveys/popest.html",
"US Census Bureau Vintage 2019 Population Estimates.")),
p(" More information on cohort change ratios, including a chapter on stable population: ",
tags$a(href="https://www.worldcat.org/title/cohort-change-ratios-and-their-applications/oclc/988385033",
"Baker, Swanson, Tayman, and Tedrow (2017)."),
p("More information on iTFR: ",
tags$a(href="https://osf.io/adu98/",
"Hauer and Schmertmann (2019)"),
" and ",
tags$a(href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0067226",
"Hauer, Baker, and Brown (2013).")),
p("Slides with background thoughts on adjusting net migration: ",
tags$a(href="https://edyhsgr.github.io/documents/ProjPresentation.pdf",
"Hunsinger (2007)."),
"Migration by age over time comparisons from Alaska data: ",
tags$a(href="http://shiny.demog.berkeley.edu/eddieh/AKPFDMigrationReview/",
"Hunsinger (2018)."),
"Interface with net migration adjustment examples and comparisons: ",
tags$a(href="http://shiny.demog.berkeley.edu/eddieh/NMAdjustCompare/",
"Hunsinger (2019)."),
"Migration adjustment profile was made from the US Census Bureau's 2013 to 2017
American Community Survey Public Use Microdata Sample, accessed via the ",
tags$a(href="https://usa.ipums.org/usa/",
"IPUMS USA, University of Minnesota.")),
tags$a(href="https://twitter.com/ApplDemogToolbx/status/1079286699941752832",
"Graph of e0 and Brass' relational life table alpha by US state."),
"Model life table (0.0 alpha) is the 5x5 2010 to 2014 life table from the ",
tags$a(href="https://usa.mortality.org/index.php",
"United States Mortality Database.")),
p(tags$a(href="https://applieddemogtoolbox.github.io/#CCRStable",
"Applied Demography Toolbox listing.")),
width=3
),
mainPanel(
plotOutput("plots")
))
)
##########
##READING EXTERNAL DATA IN
##########
##DATA (CENSUS BUREAU VINTAGE 2019 POPULATION ESTIMATES BY DEMOGRAPHIC CHARACTERISTICS)
##https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/asrh/cc-est2019-alldata-21.csv
##https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2010-2019/
K<-data.frame(read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/PopEstimates/cc-est2019-alldata-21_Extract.csv",header=TRUE,sep=","))
K_DP<-data.frame(read.table(file="https://raw.githubusercontent.com/edyhsgr/DP2010DemoDataReview/master/nhgis_ppdd_20200723_county_KY.csv",header=TRUE,sep=","))
##CENSUS ACS (via IPUMS) KY MIGRATION DATA (GENERIC) - SHOULD GET UPDATE, BUT ALSO SHOULD BE OK FOR GENERAL INFO, SEE http://shiny.demog.berkeley.edu/eddieh/NMAdjustCompare/ FOR ANECDOTAL INFO
Migration<-data.frame(read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Migration/AGenericMigrationProfile_KY_2013to2017ACS.csv",header=TRUE,sep=","))
Migration<-c(Migration$KY_F,Migration$KY_M)
##USMD KY SURVIVAL DATA (GENERIC)
lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_KY_USMD2010to2014.csv",header=TRUE,sep=",")
lxF<-lt$lx_Female/100000
lxM<-lt$lx_Male/100000
lxT<-lt$lx_Both/100000
lxF<-c(lxF[1],lxF[3:24])
lxM<-c(lxM[1],lxM[3:24])
lxT<-c(lxT[1],lxT[3:24])
server<-function(input, output) {
output$plots<-renderPlot({
par(mfrow=c(2,2))
##NUMBER FORMATTING
options(scipen=999)
if(input$County=="") {
plot.new()
legend("topleft",legend=c("Select a county with the panel to the left"),cex=1.5,bty="n")
}
if(input$County!="") {
##########
##SCRIPT INPUTS
##########
##DIMENSIONS
SIZE<-36
HALFSIZE<-SIZE/2
STEPS<-(input$STEP-2015)/5
STEPSSTABLE<-STEPS+1000
CURRENTSTEP<-0
CURRENTSTEPSTABLE<-0
PROJECTIONYEAR<-STEPS*5+2015
FERTWIDTH<-35
##SELECTING RATIOS BASIS #(REMOVED INPUT OPTION FOR THIS APPLICATION)
FirstYear<-3 #strtoi(input$RatiosFrom)
SecondYear<-8 #strtoi(input$RatiosFrom)+5
##IMPOSED TFR OPTION
ImposedTFR<-input$ImposedTFR
ffab<-1/(input$SRB+1)
UseImposedTFR<-input$ImposeTFR
##ADJUST BY MIGRATION OPTION
GrossMigrationAdjustLevel<-input$GrossMigrationAdjustLevel/100
NetMigrationAdjustLevel<-input$NetMigrationAdjustLevel/100
##IMPUTE MORTALITY OPTION
##"BA" IS THE BRASS RELATIONAL LOGIT MODEL ALPHA
if(input$ImputeMort=="YES") {
BA_start<-input$BAStart
BA_end<-input$BAEnd
BB<-1
}
if(input$ImputeMort=="NO") {
BA_start<-0
BA_end<-0
BB<-1
}
##SELECT BY SEX
SelectBySex<-input$Sex
##SELECT AREA
Name<-paste(input$County)
##SELECTING FROM THE INPUT POPULATION TABLE (K) BASED ON INPUTS
# TMinusOneAgeInit_F<-subset(K,CTYNAME==input$County & YEAR==3 & AGEGRP>0)
# TMinusOneAgeInit_F<-TMinusOneAgeInit_F$TOT_FEMALE
# TMinusOneAge_F<-TMinusOneAgeInit_F
# TMinusOneAgeInit_M<-subset(K,CTYNAME==input$County & YEAR==3 & AGEGRP>0)
# TMinusOneAgeInit_M<-TMinusOneAgeInit_M$TOT_MALE
# TMinusOneAge_M<-TMinusOneAgeInit_M
#
# TMinusOneAge<-TMinusOneAgeInit<-c(TMinusOneAge_F,TMinusOneAge_M)
# TMinusOneAgeInitRatios_F<-subset(K,CTYNAME==input$County & YEAR==FirstYear & AGEGRP>0)
# TMinusOneAgeInitRatios_F<-TMinusOneAgeInitRatios_F$TOT_FEMALE
# TMinusOneAgeRatios_F<-TMinusOneAgeInitRatios_F
# TMinusOneAgeInitRatios_M<-subset(K,CTYNAME==input$County & YEAR==FirstYear & AGEGRP>0)
# TMinusOneAgeInitRatios_M<-TMinusOneAgeInitRatios_M$TOT_MALE
# TMinusOneAgeRatios_M<-TMinusOneAgeInitRatios_M
#
# TMinusOneAgeRatios<-TMinusOneAgeInitRatios<-c(TMinusOneAgeRatios_F,TMinusOneAgeRatios_M)
TMinusZeroAgeInit_F<-subset(K,CTYNAME==input$County & YEAR==8 & AGEGRP>0)
TMinusZeroAgeInit_F<-TMinusZeroAgeInit_F$TOT_FEMALE
TMinusZeroAge_F<-TMinusZeroAgeInit_F
TMinusZeroAgeInit_M<-subset(K,CTYNAME==input$County & YEAR==8 & AGEGRP>0)
TMinusZeroAgeInit_M<-TMinusZeroAgeInit_M$TOT_MALE
TMinusZeroAge_M<-TMinusZeroAgeInit_M
TMinusZeroAge<-TMinusZeroAgeInit<-c(TMinusZeroAge_F,TMinusZeroAge_M)
TMinusZeroAgeInitRatios_F<-subset(K,CTYNAME==input$County & YEAR==SecondYear & AGEGRP>0)
TMinusZeroAgeInitRatios_F<-TMinusZeroAgeInitRatios_F$TOT_FEMALE
TMinusZeroAgeRatios_F<-TMinusZeroAgeInitRatios_F
TMinusZeroAgeInitRatios_M<-subset(K,CTYNAME==input$County & YEAR==SecondYear & AGEGRP>0)
TMinusZeroAgeInitRatios_M<-TMinusZeroAgeInitRatios_M$TOT_MALE
TMinusZeroAgeRatios_M<-TMinusZeroAgeInitRatios_M
TMinusZeroAgeRatios<-TMinusZeroAgeInitRatios<-c(TMinusZeroAgeRatios_F,TMinusZeroAgeRatios_M)
AgeMale<-subset(K_DP, K_DP$name==input$County)
AgeMale$H76006_sf<-sum(AgeMale$H76006_sf,AgeMale$H76007_sf)
AgeMale$H76008_sf<-sum(AgeMale$H76008_sf,AgeMale$H76009_sf,AgeMale$H76010_sf)
AgeMale$H76018_sf<-sum(AgeMale$H76018_sf,AgeMale$H76019_sf)
AgeMale$H76020_sf<-sum(AgeMale$H76020_sf,AgeMale$H76021_sf)
AgeMale$H76006_dp<-sum(AgeMale$H76006_dp,AgeMale$H76007_dp)
AgeMale$H76008_dp<-sum(AgeMale$H76008_dp,AgeMale$H76009_dp,AgeMale$H76010_dp)
AgeMale$H76018_dp<-sum(AgeMale$H76018_dp,AgeMale$H76019_dp)
AgeMale$H76020_dp<-sum(AgeMale$H76020_dp,AgeMale$H76021_dp)
AgeMale<-AgeMale[,-c(1:322,327,329,330,339,341,346:698,703,705,706,715,717,722:755)]
if(input$radio==1) {TMinusOneAge_M<-TMinusOneAgeInit_M<-as.numeric(AgeMale[1,19:36])}
if(input$radio==2) {TMinusOneAge_M<-TMinusOneAgeInit_M<-as.numeric(AgeMale[1,1:HALFSIZE])}
AgeFemale<-subset(K_DP, K_DP$name==input$County)
AgeFemale$H76030_sf<-sum(AgeFemale$H76030_sf,AgeFemale$H76031_sf)
AgeFemale$H76032_sf<-sum(AgeFemale$H76032_sf,AgeFemale$H76033_sf,AgeFemale$H76034_sf)
AgeFemale$H76042_sf<-sum(AgeFemale$H76042_sf,AgeFemale$H76043_sf)
AgeFemale$H76044_sf<-sum(AgeFemale$H76044_sf,AgeFemale$H76045_sf)
AgeFemale$H76030_dp<-sum(AgeFemale$H76030_dp,AgeFemale$H76031_dp)
AgeFemale$H76032_dp<-sum(AgeFemale$H76032_dp,AgeFemale$H76033_dp,AgeFemale$H76034_dp)
AgeFemale$H76042_dp<-sum(AgeFemale$H76042_dp,AgeFemale$H76043_dp)
AgeFemale$H76044_dp<-sum(AgeFemale$H76044_dp,AgeFemale$H76045_dp)
AgeFemale<-AgeFemale[,-c(1:346,351,353,354,363,365,370:722,727,729,730,739,741,746:755)]
if(input$radio==1) {TMinusOneAge_F<-TMinusOneAgeInit_F<-as.numeric(AgeFemale[1,19:36])}
if(input$radio==2) {TMinusOneAge_F<-TMinusOneAgeInit_F<-as.numeric(AgeFemale[1,1:HALFSIZE])}
TMinusOneAge<-TMinusOneAgeInit<-as.numeric(c(TMinusOneAge_F,TMinusOneAge_M))
TMinusOneAgeRatios<-TMinusOneAgeInitRatios<-as.numeric(c(TMinusOneAge_F,TMinusOneAge_M))
##########
##CALCULATIONS
##########
##COHORT CHANGE RATIOS
Ratios<-array(,length(TMinusOneAgeRatios))
for (i in 2:(HALFSIZE-1)) {Ratios[i]<-TMinusZeroAgeRatios[i]/TMinusOneAgeRatios[i-1]}
for (i in (HALFSIZE+2):(SIZE-1)) {Ratios[i]<-TMinusZeroAgeRatios[i]/TMinusOneAgeRatios[i-1]}
##PLACING COHORT CHANGE RATIOS (FEMALE)
S_F<-array(0,c(HALFSIZE,HALFSIZE))
S_F<-rbind(0,cbind(diag(Ratios[2:(HALFSIZE)]),0))
##OPEN-ENDED AGE GROUP (FEMALE)
S_F[HALFSIZE,HALFSIZE-1]<-TMinusZeroAgeRatios[HALFSIZE]/(TMinusOneAgeRatios[HALFSIZE-1]+TMinusOneAgeRatios[HALFSIZE])
Ratios[HALFSIZE]<-S_F[HALFSIZE,HALFSIZE]<-S_F[HALFSIZE,HALFSIZE-1]
##BIRTHS AND MATRIX PORTION CONSTRUCTION (FEMALE)
B_F<-0*S_F
B_F[1,4:10]<-Ratios[1]*ffab
A_F<-B_F+S_F
##PLACING COHORT CHANGE RATIOS (MALE)
S_M<-array(0,c(HALFSIZE,HALFSIZE))
S_M<-rbind(0,cbind(diag(Ratios[(HALFSIZE+2):SIZE]),0))
##OPEN-ENDED AGE GROUP (MALE)
S_M[HALFSIZE,HALFSIZE-1]<-TMinusZeroAgeRatios[SIZE]/(TMinusOneAgeRatios[SIZE-1]+TMinusOneAgeRatios[SIZE])
Ratios[SIZE]<-S_M[HALFSIZE,HALFSIZE]<-S_M[HALFSIZE,HALFSIZE-1]
##BIRTHS AND MATRIX PORTION CONSTRUCTION (MALE)
B_M<-0*S_M
B_M[1,4:10]<-Ratios[1]*(1-ffab)
##STRUCTURAL ZEROES
AEnd_Zero<-A_Zero<-array(0,c(HALFSIZE,HALFSIZE))
##MAKING FULL PROJECTION MATRIX (TWO-SEX)
Acolone<-cbind(A_F,A_Zero)
Acoltwo<-cbind(B_M,S_M)
A<-rbind(Acolone,Acoltwo)
##IMPLIED TFR CALCUATION
ImpliedTFR2010<-((TMinusOneAgeInit[1]+TMinusOneAgeInit[HALFSIZE+1])/5)/sum(TMinusZeroAgeInit[4:10])*FERTWIDTH
ImpliedTFR2015<-((TMinusZeroAgeInit[1]+TMinusZeroAgeInit[HALFSIZE+1])/5)/sum(TMinusZeroAgeInit[4:10])*FERTWIDTH
##########
##PROJECTION FUNCTION
##########
##MAX STEPS IN CASE USER (ESP ME) GETS CARRIED AWAY
if(STEPS<198){
##FUNCTION INPUTTING
CCRProject<-function(TMinusZeroAge,ImpliedTFR,BA_start,BA_end,CURRENTSTEP){
##CALCULATE SURVIVAL ADJUSTMENT (Yx, lx, Lx, Sx)
YxF<-YxM<-NULL
for (i in 1:length(lxF)){YxF[i]<-.5*log(lxF[i]/(1-lxF[i]))}
for (i in 1:length(lxM)){YxM[i]<-.5*log(lxM[i]/(1-lxM[i]))}
lxFStart<-array(0,length(lxF))
lxMStart<-array(0,length(lxM))
for (i in 1:length(lxFStart)){lxFStart[i]<-1/(1+exp(-2*BA_start-2*BB*YxF[i]))}
for (i in 1:length(lxMStart)){lxMStart[i]<-1/(1+exp(-2*BA_start-2*BB*YxM[i]))}
LxFStart<-array(,length(lxF))
LxMStart<-array(,length(lxM))
##**THIS IS A LITTLE OFF FOR THE FIRST AGE GROUP**
for (i in 1:length(LxFStart)){LxFStart[i]<-.5*(lxFStart[i]+lxFStart[i+1])}
for (i in 1:length(LxMStart)){LxMStart[i]<-.5*(lxMStart[i]+lxMStart[i+1])}
SxFStart<-array(,HALFSIZE)
SxMStart<-array(,HALFSIZE)
for (i in 2:HALFSIZE){SxFStart[i]<-(LxFStart[i]/LxFStart[i-1])}
for (i in 2:HALFSIZE){SxMStart[i]<-(LxMStart[i]/LxMStart[i-1])}
##(OPEN-ENDED AGE GROUP (FEMALE))
SxFStart[HALFSIZE]<-rev(cumsum(rev(LxFStart[HALFSIZE:(length(LxFStart)-1)])))[1]/rev(cumsum(rev(LxFStart[(HALFSIZE-1):(length(LxFStart)-1)])))[1]
##(OPEN-ENDED AGE GROUP (MALE))
SxMStart[HALFSIZE]<-rev(cumsum(rev(LxMStart[HALFSIZE:(length(LxMStart)-1)])))[1]/rev(cumsum(rev(LxMStart[(HALFSIZE-1):(length(LxMStart)-1)])))[1]
##INITIAL e0
e0FStart<-sum(LxFStart[1:(length(LxFStart)-1)]*5)
e0MStart<-sum(LxMStart[1:(length(LxFStart)-1)]*5)
lxFAdj<-array(0,length(lxF))
lxMAdj<-array(0,length(lxM))
##INTERPOLATING BRASS ALPHA BETWEEN FIRST AND LAST STEP
if(CURRENTSTEP<=STEPS){
for (i in 1:length(lxFAdj)){lxFAdj[i]<-1/(1+exp(-2*(BA_start*(1-CURRENTSTEP/STEPS)+BA_end*(CURRENTSTEP/STEPS))-2*BB*YxF[i]))}
for (i in 1:length(lxMAdj)){lxMAdj[i]<-1/(1+exp(-2*(BA_start*(1-CURRENTSTEP/STEPS)+BA_end*(CURRENTSTEP/STEPS))-2*BB*YxM[i]))}
}
##ALLOWING FOR LONG-TERM (STABLE POPULATION) SIMULATION
if(CURRENTSTEP>=STEPS){
for (i in 1:length(lxFAdj)){lxFAdj[i]<-1/(1+exp(-2*BA_end-2*BB*YxF[i]))}
for (i in 1:length(lxMAdj)){lxMAdj[i]<-1/(1+exp(-2*BA_end-2*BB*YxM[i]))}
}
##SURVIVAL ADJUSTMENTS (Lx, SX)
LxFAdj<-array(,length(lxF))
LxMAdj<-array(,length(lxM))
##**THIS IS A LITTLE OFF FOR THE FIRST AGE GROUP**
for (i in 1:length(LxFAdj)){LxFAdj[i]<-.5*(lxFAdj[i]+lxFAdj[i+1])}
for (i in 1:length(LxMAdj)){LxMAdj[i]<-.5*(lxMAdj[i]+lxMAdj[i+1])}
SxFAdj<-array(,HALFSIZE)
SxMAdj<-array(,HALFSIZE)
for (i in 2:length(SxFAdj)){SxFAdj[i]<-(LxFAdj[i]/LxFAdj[i-1])}
for (i in 2:length(SxMAdj)){SxMAdj[i]<-(LxMAdj[i]/LxMAdj[i-1])}
##(OPEN-ENDED AGE GROUP (FEMALE))
SxFAdj[HALFSIZE]<-rev(cumsum(rev(LxFAdj[HALFSIZE:(length(LxFAdj)-1)])))[1]/rev(cumsum(rev(LxFAdj[(HALFSIZE-1):(length(LxFAdj)-1)])))[1]
##(OPEN-ENDED AGE GROUP (MALE))
SxMAdj[HALFSIZE]<-rev(cumsum(rev(LxMAdj[HALFSIZE:(length(LxMAdj)-1)])))[1]/rev(cumsum(rev(LxMAdj[(HALFSIZE-1):(length(LxMAdj)-1)])))[1]
##ADJUSTED e0
e0FAdj<-sum(LxFAdj[1:(length(LxFStart)-1)]*5)
e0MAdj<-sum(LxMAdj[1:(length(LxFStart)-1)]*5)
##ADJUST GROSS MIGRATION OPTION
if(GrossMigrationAdjustLevel!=1){
RatiosGrossMigAdj<-Ratios
for (i in 2:HALFSIZE) {RatiosGrossMigAdj[i]<-(Ratios[i]-SxFStart[i])*GrossMigrationAdjustLevel+SxFStart[i]}
SGrossMigAdj_F<-array(0,c(HALFSIZE,HALFSIZE))
SGrossMigAdj_F<-rbind(0,cbind(diag(RatiosGrossMigAdj[2:HALFSIZE]),0))
##OPEN-ENDED AGE GROUP (FEMALE)
SGrossMigAdj_F[HALFSIZE,HALFSIZE]<-SGrossMigAdj_F[HALFSIZE,HALFSIZE-1]
S_F<-SGrossMigAdj_F
A_F<-B_F+S_F
for (i in (HALFSIZE+2):SIZE) {RatiosGrossMigAdj[i]<-(Ratios[i]-SxMStart[i-HALFSIZE])*GrossMigrationAdjustLevel+SxMStart[i-HALFSIZE]}
SGrossMigAdj_M<-array(0,c(HALFSIZE,HALFSIZE))
SGrossMigAdj_M<-rbind(0,cbind(diag(RatiosGrossMigAdj[(HALFSIZE+2):SIZE]),0))
##OPEN-ENDED AGE GROUP (MALE)
SGrossMigAdj_M[HALFSIZE,HALFSIZE]<-SGrossMigAdj_M[HALFSIZE,HALFSIZE-1]
S_M<-SGrossMigAdj_M
}
##CONSTRUCT PROJECTION MATRICES WITH SURVIVAL ADJUSTMENT
SAdj_F<-array(0,c(HALFSIZE,HALFSIZE))
SAdj_F<-rbind(0,cbind(diag(SxFAdj[2:HALFSIZE]-SxFStart[2:HALFSIZE]),0))
SAdj_F[HALFSIZE,HALFSIZE]<-SAdj_F[HALFSIZE,HALFSIZE-1]
SAdj_F<-SAdj_F+S_F
AAdj_F<-B_F+SAdj_F
SAdj_M<-array(0,c(HALFSIZE,HALFSIZE))
SAdj_M<-rbind(0,cbind(diag(SxMAdj[2:HALFSIZE]-SxMStart[2:HALFSIZE]),0))
SAdj_M[HALFSIZE,HALFSIZE]<-SAdj_M[HALFSIZE,HALFSIZE-1]
SAdj_M<-SAdj_M+S_M
AAdj_Zero<-A_Zero<-array(0,c(HALFSIZE,HALFSIZE))
Acolone<-cbind(A_F,A_Zero)
Acoltwo<-cbind(B_M,S_M)
A<-rbind(Acolone,Acoltwo)
AAdjcolone<-cbind(AAdj_F,AAdj_Zero)
AAdjcoltwo<-cbind(B_M,SAdj_M)
AAdj<-rbind(AAdjcolone,AAdjcoltwo)
##PROJECTION IMPLEMENTATION (WITH FERTILITY AND MIGRATION ADJUSTMENTS)
TMinusOneAgeNew<-data.frame(TMinusZeroAge)
if(CURRENTSTEP>0){
TMinusZeroAge<-AAdj%*%TMinusZeroAge
if(NetMigrationAdjustLevel!=0)
{TMinusZeroAge<-NetMigrationAdjustLevel*5*sum(TMinusOneAgeNew)*Migration+TMinusZeroAge}
if(UseImposedTFR=="YES")
{TMinusZeroAge[1]<-(ImpliedTFR*input$ImposedTFR_ar+ImposedTFR*(1-input$ImposedTFR_ar))*(sum(TMinusZeroAge[4:10])/FERTWIDTH)*5*ffab
TMinusZeroAge[HALFSIZE+1]<-(ImpliedTFR*input$ImposedTFR_ar+ImposedTFR*(1-input$ImposedTFR_ar))*(sum(TMinusZeroAge[4:10])/FERTWIDTH)*5*(1-ffab)}
if(UseImposedTFR=="NO")
{TMinusZeroAge[1]<-ImpliedTFR*(sum(TMinusZeroAge[4:10])/FERTWIDTH)*5*ffab
TMinusZeroAge[HALFSIZE+1]<-ImpliedTFR*(sum(TMinusZeroAge[4:10])/FERTWIDTH)*5*(1-ffab)}
}
TMinusZeroAge_NDF<-TMinusZeroAge
TMinusZeroAge<-data.frame(TMinusZeroAge)
##CALCULATE iTFR
ImpliedTFRNew<-((TMinusZeroAge_NDF[1]+TMinusZeroAge_NDF[HALFSIZE+1])/5)/sum(TMinusZeroAge_NDF[4:10])*FERTWIDTH
return(c(TMinusZeroAge=TMinusZeroAge,TMinusOneAge=TMinusOneAgeNew,ImpliedTFRNew=ImpliedTFRNew,e0FStart=e0FStart,e0MStart=e0MStart,e0FAdj=e0FAdj,e0MAdj=e0MAdj,CURRENTSTEP=CURRENTSTEP+1))
}
}
##APPLY PROJECTIONS
CCRNew<-CCRProject(TMinusZeroAge,ImpliedTFR2015,BA_start,BA_end,CURRENTSTEP)
while(CCRNew$CURRENTSTEP<STEPS+1) {CCRNew<-CCRProject(CCRNew$TMinusZeroAge,CCRNew$ImpliedTFRNew,BA_start,BA_end,CCRNew$CURRENTSTEP)}
##CALCULATE EFFECTIVE COHORT CHANGE RATIOS
CCRatios<-Ratios
for (i in 2:(HALFSIZE-1)) {CCRatios[i]<-CCRNew$TMinusZeroAge[i]/CCRNew$TMinusOneAge[i-1]}
for (i in (HALFSIZE+2):(SIZE-1)) {CCRatios[i]<-CCRNew$TMinusZeroAge[i]/CCRNew$TMinusOneAge[i-1]}
##OPEN-ENDED AGE GROUPS
CCRatios[HALFSIZE]<-CCRNew$TMinusZeroAge[HALFSIZE]/(CCRNew$TMinusOneAge[HALFSIZE-1]+CCRNew$TMinusOneAge[HALFSIZE])
CCRatios[SIZE]<-CCRNew$TMinusZeroAge[SIZE]/(CCRNew$TMinusOneAge[SIZE-1]+CCRNew$TMinusOneAge[SIZE])
##BY SEX
CCRatiosF<-CCRatios[2:HALFSIZE]
CCRatiosM<-CCRatios[2+HALFSIZE:(SIZE-2)]
##iTFR
ImpliedTFRNew<-CCRNew$ImpliedTFRNew
##ESTIMATE STABLE POPULATION BY SIMULATION
TMinusZeroAge<-TMinusZeroAgeInit
CCRStable<-CCRProject(TMinusZeroAge,ImpliedTFR2015,BA_start,BA_end,0)
while(CCRStable$CURRENTSTEP<STEPSSTABLE+1) {CCRStable<-CCRProject(CCRStable$TMinusZeroAge,CCRStable$ImpliedTFRNew,BA_start,BA_end,CCRStable$CURRENTSTEP)}
ImpliedTFRStable<-((CCRStable$TMinusZeroAge[1]+CCRStable$TMinusZeroAge[HALFSIZE+1])/5)/sum(CCRStable$TMinusZeroAge[4:10])*FERTWIDTH
##########
##TABLING DATA
##########
#JUST ALL POPULATIONS USED IN GRAPHS
NewAge_F<-CCRNew$TMinusZeroAge[1:HALFSIZE]
StableAge_F<-CCRStable$TMinusZeroAge[1:HALFSIZE]
TMinusOneAgeInit_F<-TMinusOneAgeInit[1:HALFSIZE]
TMinusZeroAgeInit_F<-TMinusZeroAgeInit[1:HALFSIZE]
NewAge_M<-CCRNew$TMinusZeroAge[(HALFSIZE+1):SIZE]
StableAge_M<-CCRStable$TMinusZeroAge[(HALFSIZE+1):SIZE]
TMinusOneAgeInit_M<-TMinusOneAgeInit[(HALFSIZE+1):SIZE]
TMinusZeroAgeInit_M<-TMinusZeroAgeInit[(HALFSIZE+1):SIZE]
NewAge_T<-NewAge_F+NewAge_M
StableAge_T<-StableAge_F+StableAge_M
TMinusOneAgeInit_T<-TMinusOneAgeInit_F+TMinusOneAgeInit_M
TMinusZeroAgeInit_T<-TMinusZeroAgeInit_F+TMinusZeroAgeInit_M
NewAge<-array(c(NewAge_T,NewAge_F,NewAge_M),c(HALFSIZE,3))
StableAge<-array(c(StableAge_T,StableAge_F,StableAge_M),c(HALFSIZE,3))
TMinusOneAgeInit<-array(c(TMinusOneAgeInit_T,TMinusOneAgeInit_F,TMinusOneAgeInit_M),c(HALFSIZE,3))
TMinusZeroAgeInit<-array(c(TMinusZeroAgeInit_T,TMinusZeroAgeInit_F,TMinusZeroAgeInit_M),c(HALFSIZE,3))
##########
##GRAPHING DATA (SOME ~HACKY LABELING SO MAY [LIKELY] NOT RENDER WELL)
##########
##FIRST GRAPH - MAJOR SUMMARY
agegroups<-c("0-4", "5-9", "10-14", "15-19", "20-24", "25-29", "30-34", "35-39", "40-44", "45-49", "50-54", "55-59", "60-64", "65-69", "70-74", "75-79", "80-84", "85+")
if(SelectBySex=="Total") {plot(TMinusOneAgeInit[,1]/sum(TMinusOneAgeInit[,1]),type="l",col="orange",main=paste(text=c(input$County,", ",input$Sex),collapse=""),ylim=c(0,.12),axes=FALSE,xlab="",ylab="Population (proportional)",lwd=4)}
if(SelectBySex=="Female") {plot(TMinusOneAgeInit[,2]/sum(TMinusOneAgeInit[,2]),type="l",col="orange",main=paste(text=c(input$County,", ",input$Sex),collapse=""),ylim=c(0,.12),axes=FALSE,xlab="",ylab="Population (proportional)",lwd=4)}
if(SelectBySex=="Male") {plot(TMinusOneAgeInit[,3]/sum(TMinusOneAgeInit[,3]),type="l",col="orange",main=paste(text=c(input$County,", ",input$Sex),collapse=""),ylim=c(0,.12),axes=FALSE,xlab="",ylab="Population (proportional)",lwd=4)}
if(SelectBySex=="Total") {lines(TMinusZeroAgeInit[,1]/sum(TMinusZeroAgeInit[,1]),col="blue",lwd=4)}
if(SelectBySex=="Female") {lines(TMinusZeroAgeInit[,2]/sum(TMinusZeroAgeInit[,2]),col="blue",lwd=4)}
if(SelectBySex=="Male") {lines(TMinusZeroAgeInit[,3]/sum(TMinusZeroAgeInit[,3]),col="blue",lwd=4)}
if(SelectBySex=="Total") {lines(NewAge[,1]/sum(NewAge[,1]),col="dark green",lty=1,lwd=4)}
if(SelectBySex=="Female") {lines(NewAge[,2]/sum(NewAge[,2]),col="dark green",lty=1,lwd=4)}
if(SelectBySex=="Male") {lines(NewAge[,3]/sum(NewAge[,3]),col="dark green",lty=1,lwd=4)}
if (min(StableAge)>=0) {
mtext(side=1,"Age groups",line=4,cex=.75)
axis(side=1,at=1:HALFSIZE,las=2,labels=agegroups,cex.axis=0.9)
axis(side=2)
legend(11.5, .12, legend=c("2010 (Census)","2015 (estimate)",paste(c(PROJECTIONYEAR),"(projection)"),"Stable"),
col=c("orange","blue","dark green","black"), lty=c(1,1,1,3),lwd=c(4,4,4,1.5),cex=1.2)
}
if (min(StableAge)<0) {
mtext(side=1,"Age groups",line=4,cex=.75)
axis(side=1,at=1:HALFSIZE,las=2,labels=agegroups,cex.axis=0.9)
axis(side=2)
legend(11.5, .12, legend=c("2010 (estimate)","2015 (estimate)",paste(c(PROJECTIONYEAR),"(projection)")),
col=c("orange","blue","dark green"), lty=c(1,1,1),lwd=c(4,4,4),cex=1.2)
}
mtext(side=1,c("Sum 2010:"),line=-15,adj=.125,col="orange")
if(SelectBySex=="Total") {mtext(side=1,c(sum(TMinusOneAgeInit[,1])),line=-15,adj=.3,col="orange")}
if(SelectBySex=="Female") {mtext(side=1,c(sum(TMinusOneAgeInit[,2])),line=-15,adj=.3,col="orange")}
if(SelectBySex=="Male") {mtext(side=1,c(sum(TMinusOneAgeInit[,3])),line=-15,adj=.3,col="orange")}
mtext(side=1,c("Sum 2015:"),line=-14,adj=.125,col="blue")
if(SelectBySex=="Total") {mtext(side=1,c(sum(TMinusZeroAgeInit[,1])),line=-14,adj=.3,col="blue")}
if(SelectBySex=="Female") {mtext(side=1,c(sum(TMinusZeroAgeInit[,2])),line=-14,adj=.3,col="blue")}
if(SelectBySex=="Male") {mtext(side=1,c(sum(TMinusZeroAgeInit[,3])),line=-14,adj=.3,col="blue")}
mtext(side=1,c("Sum "),line=-13,adj=.117,col="dark green")
mtext(side=1,c(PROJECTIONYEAR),line=-13,adj=.18,col="dark green")
mtext(side=1,c(":"),line=-13,adj=.225,col="dark green")
if(SelectBySex=="Total") {mtext(side=1,c(round(sum(NewAge[,1]))),line=-13,adj=.3,col="dark green")}
if(SelectBySex=="Female") {mtext(side=1,c(round(sum(NewAge[,2]))),line=-13,adj=.3,col="dark green")}
if(SelectBySex=="Male") {mtext(side=1,c(round(sum(NewAge[,3]))),line=-13,adj=.3,col="dark green")}
mtext(side=1,c("iTFR 2010:"),line=-7,adj=.13,col="orange")
mtext(side=1,c(round(ImpliedTFR2010,2)),line=-7,adj=.29,col="orange")
mtext(side=1,c("iTFR 2015:"),line=-6,adj=.13,col="blue")
mtext(side=1,c(round(ImpliedTFR2015,2)),line=-6,adj=.29,col="blue")
mtext(side=1,c("iTFR"),line=-5,adj=.12,col="dark green")
mtext(side=1,c(PROJECTIONYEAR),line=-5,adj=.185,col="dark green")
mtext(side=1,c(":"),line=-5,adj=.23,col="dark green")
mtext(side=1,c(round(ImpliedTFRNew,2)),line=-5,adj=.29,col="dark green")
if(SelectBySex=="Total") {LASTGROWTHRATE<-paste(text=c("R (2010 to 2015): ", round(log(sum(TMinusZeroAgeInit[,1])/sum(TMinusOneAgeInit[,1]))/5*100,2)),collapse="")}
if(SelectBySex=="Male") {LASTGROWTHRATE<-paste(text=c("R (2010 to 2015): ", round(log(sum(TMinusZeroAgeInit[,1])/sum(TMinusOneAgeInit[,1]))/5*100,2)),collapse="")}
if(SelectBySex=="Female") {LASTGROWTHRATE<-paste(text=c("R (2010 to 2015): ", round(log(sum(TMinusZeroAgeInit[,1])/sum(TMinusOneAgeInit[,1]))/5*100,2)),collapse="")}
mtext(side=1,c(LASTGROWTHRATE),line=-11,adj=.15,col="blue")
if(SelectBySex=="Total") {GROWTHRATE<-paste(text=c("R (2015 to ",PROJECTIONYEAR,"): ", round(log(sum(NewAge[,1])/sum(TMinusZeroAgeInit[,1]))/(STEPS*5)*100,2)),collapse="")}
if(SelectBySex=="Female") {GROWTHRATE<-paste(text=c("R (2015 to ",PROJECTIONYEAR,"): ", round(log(sum(NewAge[,2])/sum(TMinusZeroAgeInit[,2]))/(STEPS*5)*100,2)),collapse="")}
if(SelectBySex=="Male") {GROWTHRATE<-paste(text=c("R (2015 to ",PROJECTIONYEAR,"): ", round(log(sum(NewAge[,3])/sum(TMinusZeroAgeInit[,3]))/(STEPS*5)*100,2)),collapse="")}
mtext(side=1,c(GROWTHRATE),line=-10,adj=.15,col="dark green")
if (min(StableAge)>=0) {
if(SelectBySex=="Total") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ", round(log(sum(StableAge[,1])/sum(TMinusZeroAgeInit[,1]))/(STEPSSTABLE*5)*100,2)),collapse="")}
if(SelectBySex=="Female") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ", round(log(sum(StableAge[,2])/sum(TMinusZeroAgeInit[,2]))/(STEPSSTABLE*5)*100,2)),collapse="")}
if(SelectBySex=="Male") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ", round(log(sum(StableAge[,3])/sum(TMinusZeroAgeInit[,3]))/(STEPSSTABLE*5)*100,2)),collapse="")}
mtext(side=1,c(STABLEGROWTHRATE),line=-9,adj=.15,col="black")
if(SelectBySex=="Total") {lines(StableAge[,1]/sum(StableAge[,1]),col="black",lty=3,lwd=1.5)}
if(SelectBySex=="Female") {lines(StableAge[,2]/sum(StableAge[,2]),col="black",lty=3,lwd=1.5)}
if(SelectBySex=="Male") {lines(StableAge[,3]/sum(StableAge[,3]),col="black",lty=3,lwd=1.5)}
}
if (min(StableAge)<0) {
if(SelectBySex=="Total") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ..."),collapse="")}
if(SelectBySex=="Female") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ..."),collapse="")}
if(SelectBySex=="Male") {STABLEGROWTHRATE<-paste(text=c("~r (2015 forward): ..."),collapse="")}
mtext(side=1,c(STABLEGROWTHRATE),line=-9,adj=.15,col="black")
}
if (input$ImputeMort=="YES" & SelectBySex=="Total") {
mtext(side=1,c("Imputed starting e0, female: "),line=-3,adj=.157,col="black")
mtext(side=1,c(round(CCRNew$e0FStart,1)),line=-3,adj=.455,col="black")
mtext(side=1,c("Imputed starting e0, male: "),line=-2,adj=.155,col="black")
mtext(side=1,c(round(CCRNew$e0MStart,1)),line=-2,adj=.4565,col="black")
}
if (input$ImputeMort=="YES" & SelectBySex=="Female") {
mtext(side=1,c("Imputed starting e0, female: "),line=-3,adj=.157,col="black")
mtext(side=1,c(round(CCRNew$e0FStart,1)),line=-3,adj=.455,col="black")
}
if (input$ImputeMort=="YES" & SelectBySex=="Male") {
mtext(side=1,c("Imputed starting e0, male: "),line=-3,adj=.155,col="black")
mtext(side=1,c(round(CCRNew$e0MStart,1)),line=-3,adj=.4565,col="black")
}
##SECOND GRAPH - COHORT CHANGE RATIOS WITH AND WITHOUT ADJUSTMENTS
agegroups2<-c("5-9", "10-14", "15-19", "20-24", "25-29", "30-34", "35-39", "40-44", "45-49", "50-54", "55-59", "60-64", "65-69", "70-74", "75-79", "80-84", "85+")
plot(Ratios[2:18],type="l",col="dodger blue",main=paste(text=c("Effective Cohort Change Ratios, ",PROJECTIONYEAR-5," to ",PROJECTIONYEAR),collapse=""),ylim=c(.25,1.75),axes=FALSE,xlab="",ylab="Ratio",lwd=4)
##OPEN-ENDED AGE GROUP OPTION
mtext(side=1,c("(Note: 85+ ratios are applied to full 80+ age groups)"),line=-42,adj=.50,col="black")
abline(a=NULL, b=NULL, h=1, v=NULL)
lines(Ratios[20:36],type="l",col="gold",lwd=4)
lines(CCRatiosF,type="l",col="dodger blue",lty=2,lwd=2)
lines(CCRatiosM,type="l",col="gold",lty=2,lwd=2)
mtext(side=1,"Age groups",line=4,cex=.75)
axis(side=1,at=1:(HALFSIZE-1),labels=agegroups2,las=2,cex.axis=0.9)
axis(side=2)
legend(7,1.75, legend=c("Female","Male", "Female, with migration and mortality adjustments","Male, with migration and mortality adjustments"),
col=c("dodger blue","gold","dodger blue","gold"), lty=c(1,1,2,2),lwd=c(4,4,2,2),cex=1.2)
if (input$ImputeMort=="YES") {
mtext(side=1,c("Imputed e0, female:"),line=-10,adj=.125,col="black")
mtext(side=1,c(round(CCRNew$e0FAdj,1)),line=-10,adj=.35,col="black")
mtext(side=1,c("Imputed e0, male:"),line=-9,adj=.122,col="black")
mtext(side=1,c(round(CCRNew$e0MAdj,1)),line=-9,adj=.35,col="black")
}
##THIRD GRAPH - PYRAMID (FEMALE PORTION)
barplot(NewAge_F,horiz=T,names=agegroups,space=0,xlim=c(max(NewAge_M)*2,0),col="dodger blue",las=1,main=paste(text=c("Female, ",PROJECTIONYEAR),collapse=""))
##FOURTH GRAPH - PYRAMID (MALE PORTION)
barplot(NewAge_M,horiz=T,names=FALSE,space=0,xlim=c(0,max(NewAge_M)*2),col="gold",main=paste(text=c("Male, ",PROJECTIONYEAR),collapse=""))
}
},height=1200,width=1200)
}
shinyApp(ui = ui, server = server)