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CCRStable_UNWPP2022.R
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CCRStable_UNWPP2022.R
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##########
##R CODE FOR COHORT CHANGE RATIO-BASED (HAMILTON-PERRY) WITH COMPONENTS AND STABLE POPULATION REVIEW SHINY APP - APPLIED TO UN WPP 2022 Data - DRAFTING
##
##EDDIE HUNSINGER, August 2022
##https://edyhsgr.github.io/eddieh/
##
##APPLIED DEMOGRAPHY TOOLBOX LISTING: https://applieddemogtoolbox.github.io/Toolbox/#CCRStable
##
##AN MS EXCEL SPREADSHEET THAT REPLICATES METHODS AND RESULTS (2010 to 2015 ratios for Alameda County, California, with any adjustments) IS AVAILABLE AT:
##https://github.com/edyhsgr/CCRStable/blob/master/Oct2020Presentation/CCRAdjustmentSheet_December2021.xlsx
##
####MORE INFORMATION IS AVAILABLE AT: https://github.com/edyhsgr/CCRStable/tree/master/Oct2020Presentation
##
##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##THIS CODE HAS NOT BEEN PEER-REVIEWED OR CAREFULLY TESTED - QUESTIONS AND COMMENTS ARE WELCOME, OF COURSE ([email protected])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$h3("Cohort Change Ratio-Based Stable Population Review Shiny App - Applied to UN WPP 2022 Data"),
p("Related information and ",
tags$a(href="https://www.r-project.org/", "R"),
"code available at: ",
tags$a(href="https://github.com/edyhsgr/CCRStable",
"CCRStable GitHub Repository")
),
hr(),
sidebarLayout(
sidebarPanel(
selectizeInput(inputId = "Area", label = "Area",
choices = c(
"Afghanistan"="Afghanistan",
"Albania"="Albania",
"Algeria"="Algeria",
"American Samoa"="American Samoa",
"Andorra"="Andorra",
"Angola"="Angola",
"Antigua and Barbuda"="Antigua and Barbuda",
"Azerbaijan"="Azerbaijan",
"Argentina"="Argentina",
"Australia"="Australia",
"Austria"="Austria",
"Bahamas"="Bahamas",
"Bahrain"="Bahrain",
"Bangladesh"="Bangladesh",
"Armenia"="Armenia",
"Barbados"="Barbados",
"Belgium"="Belgium",
"Bermuda"="Bermuda",
"Bhutan"="Bhutan",
"Bolivia (Plurinational State of)"="Bolivia (Plurinational State of)",
"Bosnia and Herzegovina"="Bosnia and Herzegovina",
"Botswana"="Botswana",
"Brazil"="Brazil",
"Belize"="Belize",
"Solomon Islands"="Solomon Islands",
"British Virgin Islands"="British Virgin Islands",
"Brunei Darussalam"="Brunei Darussalam",
"Bulgaria"="Bulgaria",
"Myanmar"="Myanmar",
"Burundi"="Burundi",
"Belarus"="Belarus",
"Cambodia"="Cambodia",
"Cameroon"="Cameroon",
"Canada"="Canada",
"Cabo Verde"="Cabo Verde",
"Cayman Islands"="Cayman Islands",
"Central African Republic"="Central African Republic",
"Sri Lanka"="Sri Lanka",
"Chad"="Chad",
"Chile"="Chile",
"China"="China",
"China, Taiwan Province of China"="China, Taiwan Province of China",
"Colombia"="Colombia",
"Comoros"="Comoros",
"Mayotte"="Mayotte",
"Congo"="Congo",
"Dem. Rep. of the Congo"="Dem. Rep. of the Congo",
"Cook Islands"="Cook Islands",
"Costa Rica"="Costa Rica",
"Croatia"="Croatia",
"Cuba"="Cuba",
"Cyprus"="Cyprus",
"Czechia"="Czechia",
"Benin"="Benin",
"Denmark"="Denmark",
"Dominica"="Dominica",
"Dominican Republic"="Dominican Republic",
"Ecuador"="Ecuador",
"El Salvador"="El Salvador",
"Equatorial Guinea"="Equatorial Guinea",
"Ethiopia"="Ethiopia",
"Eritrea"="Eritrea",
"Estonia"="Estonia",
"Faroe Islands"="Faroe Islands",
"Falkland Islands (Malvinas)"="Falkland Islands (Malvinas)",
"Fiji"="Fiji",
"Finland"="Finland",
"France"="France",
"French Guiana"="French Guiana",
"French Polynesia"="French Polynesia",
"Djibouti"="Djibouti",
"Gabon"="Gabon",
"Georgia"="Georgia",
"Gambia"="Gambia",
"State of Palestine"="State of Palestine",
"Germany"="Germany",
"Ghana"="Ghana",
"Gibraltar"="Gibraltar",
"Kiribati"="Kiribati",
"Greece"="Greece",
"Greenland"="Greenland",
"Grenada"="Grenada",
"Guadeloupe"="Guadeloupe",
"Guam"="Guam",
"Guatemala"="Guatemala",
"Guinea"="Guinea",
"Guyana"="Guyana",
"Haiti"="Haiti",
"Honduras"="Honduras",
"China, Hong Kong SAR"="China, Hong Kong SAR",
"Hungary"="Hungary",
"Iceland"="Iceland",
"India"="India",
"Indonesia"="Indonesia",
"Iran (Islamic Republic of)"="Iran (Islamic Republic of)",
"Iraq"="Iraq",
"Ireland"="Ireland",
"Israel"="Israel",
"Italy"="Italy",
"Côte d'Ivoire"="Côte d'Ivoire",
"Jamaica"="Jamaica",
"Japan"="Japan",
"Kazakhstan"="Kazakhstan",
"Jordan"="Jordan",
"Kenya"="Kenya",
"Dem. People's Rep. of Korea"="Dem. People's Rep. of Korea",
"Republic of Korea"="Republic of Korea",
"Kuwait"="Kuwait",
"Kyrgyzstan"="Kyrgyzstan",
"Lao People's Dem. Republic"="Lao People's Dem. Republic",
"Lebanon"="Lebanon",
"Lesotho"="Lesotho",
"Latvia"="Latvia",
"Liberia"="Liberia",
"Libya"="Libya",
"Liechtenstein"="Liechtenstein",
"Lithuania"="Lithuania",
"Luxembourg"="Luxembourg",
"China, Macao SAR"="China, Macao SAR",
"Madagascar"="Madagascar",
"Malawi"="Malawi",
"Malaysia"="Malaysia",
"Maldives"="Maldives",
"Mali"="Mali",
"Malta"="Malta",
"Martinique"="Martinique",
"Mauritania"="Mauritania",
"Mauritius"="Mauritius",
"Mexico"="Mexico",
"Monaco"="Monaco",
"Mongolia"="Mongolia",
"Republic of Moldova"="Republic of Moldova",
"Montenegro"="Montenegro",
"Montserrat"="Montserrat",
"Morocco"="Morocco",
"Mozambique"="Mozambique",
"Oman"="Oman",
"Namibia"="Namibia",
"Nauru"="Nauru",
"Nepal"="Nepal",
"Netherlands"="Netherlands",
"Curaçao"="Curaçao",
"Aruba"="Aruba",
"Sint Maarten (Dutch part)"="Sint Maarten (Dutch part)",
"Bonaire, Sint Eustatius and Saba"="Bonaire, Sint Eustatius and Saba",
"New Caledonia"="New Caledonia",
"Vanuatu"="Vanuatu",
"New Zealand"="New Zealand",
"Nicaragua"="Nicaragua",
"Niger"="Niger",
"Nigeria"="Nigeria",
"Niue"="Niue",
"Norway"="Norway",
"Northern Mariana Islands"="Northern Mariana Islands",
"Micronesia (Fed. States of)"="Micronesia (Fed. States of)",
"Marshall Islands"="Marshall Islands",
"Palau"="Palau",
"Pakistan"="Pakistan",
"Panama"="Panama",
"Papua New Guinea"="Papua New Guinea",
"Paraguay"="Paraguay",
"Peru"="Peru",
"Philippines"="Philippines",
"Poland"="Poland",
"Portugal"="Portugal",
"Guinea-Bissau"="Guinea-Bissau",
"Timor-Leste"="Timor-Leste",
"Puerto Rico"="Puerto Rico",
"Qatar"="Qatar",
"Réunion"="Réunion",
"Romania"="Romania",
"Russian Federation"="Russian Federation",
"Rwanda"="Rwanda",
"Saint Helena"="Saint Helena",
"Saint Kitts and Nevis"="Saint Kitts and Nevis",
"Anguilla"="Anguilla",
"Saint Lucia"="Saint Lucia",
"Saint Pierre and Miquelon"="Saint Pierre and Miquelon",
"Saint Vincent and the Grenadines"="Saint Vincent and the Grenadines",
"San Marino"="San Marino",
"Sao Tome and Principe"="Sao Tome and Principe",
"Saudi Arabia"="Saudi Arabia",
"Senegal"="Senegal",
"Serbia"="Serbia",
"Seychelles"="Seychelles",
"Sierra Leone"="Sierra Leone",
"Singapore"="Singapore",
"Slovakia"="Slovakia",
"Viet Nam"="Viet Nam",
"Slovenia"="Slovenia",
"Somalia"="Somalia",
"South Africa"="South Africa",
"Zimbabwe"="Zimbabwe",
"Spain"="Spain",
"South Sudan"="South Sudan",
"Sudan"="Sudan",
"Western Sahara"="Western Sahara",
"Suriname"="Suriname",
"Eswatini"="Eswatini",
"Sweden"="Sweden",
"Switzerland"="Switzerland",
"Syrian Arab Republic"="Syrian Arab Republic",
"Tajikistan"="Tajikistan",
"Thailand"="Thailand",
"Togo"="Togo",
"Tokelau"="Tokelau",
"Tonga"="Tonga",
"Trinidad and Tobago"="Trinidad and Tobago",
"United Arab Emirates"="United Arab Emirates",
"Tunisia"="Tunisia",
"Türkiye"="Türkiye",
"Turkmenistan"="Turkmenistan",
"Turks and Caicos Islands"="Turks and Caicos Islands",
"Tuvalu"="Tuvalu",
"Uganda"="Uganda",
"Ukraine"="Ukraine",
"North Macedonia"="North Macedonia",
"Egypt"="Egypt",
"United Kingdom"="United Kingdom",
"Isle of Man"="Isle of Man",
"United Republic of Tanzania"="United Republic of Tanzania",
"United States of America"="United States of America",
"United States Virgin Islands"="United States Virgin Islands",
"Burkina Faso"="Burkina Faso",
"Uruguay"="Uruguay",
"Uzbekistan"="Uzbekistan",
"Venezuela (Bolivarian Republic of)"="Venezuela (Bolivarian Republic of)",
"Wallis and Futuna Islands"="Wallis and Futuna Islands",
"Samoa"="Samoa",
"Yemen"="Yemen",
"Zambia"="Zambia",
"Developed regions"="Developed regions",
"Developing regions"="Developing regions",
"Africa"="Africa",
"Latin America and the Caribbean"="Latin America and the Caribbean",
"Northern America"="Northern America",
"Eastern Asia"="Eastern Asia",
"Europe"="Europe",
"Oceania"="Oceania",
"Eastern Africa"="Eastern Africa",
"Middle Africa"="Middle Africa",
"Northern Africa"="Northern Africa",
"Southern Africa"="Southern Africa",
"Western Africa"="Western Africa",
"Caribbean"="Caribbean",
"Central America"="Central America",
"South-Eastern Asia"="South-Eastern Asia",
"Western Asia"="Western Asia",
"Eastern Europe"="Eastern Europe",
"Northern Europe"="Northern Europe",
"Southern Europe"="Southern Europe",
"Western Europe"="Western Europe",
"Australia/New Zealand"="Australia/New Zealand",
"Melanesia"="Melanesia",
"South America"="South America",
"Other developing regions"="Other developing regions",
"Asia"="Asia",
"Least developed countries"="Least developed countries",
"Sub-Saharan Africa"="Sub-Saharan Africa",
"Micronesia"="Micronesia",
"Polynesia"="Polynesia",
"Low-income countries"="Low-income countries",
"Lower-middle-income countries"="Lower-middle-income countries",
"Upper-middle-income countries"="Upper-middle-income countries",
"High-income countries"="High-income countries",
"Middle-income countries"="Middle-income countries",
"No income group available"="No income group available",
"Europe and Northern America"="Europe and Northern America",
"Central and Southern Asia"="Central and Southern Asia",
"Eastern and South-Eastern Asia"="Eastern and South-Eastern Asia",
"Northern Africa and Western Asia"="Northern Africa and Western Asia",
"Oceania (excluding Australia and New Zealand)"="Oceania (excluding Australia and New Zealand)",
"Central Asia"="Central Asia",
"Southern Asia"="Southern Asia"
),
options = list(placeholder = "Type in an area 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)",2030,2020,2100,step=5),
selectInput("RatiosFrom", "Using ratios from",
c("2015 to 2020"="2015",
"2014 to 2019"="2014",
"2013 to 2018"="2013",
"2012 to 2017"="2012",
"2011 to 2016"="2011",
"2010 to 2015"="2010"
),
),
hr(),
selectInput("ImposeTFR", "Impose iTFR?",
c(
"Yes"="YES",
"No"="NO"
),
),
numericInput("ImposedTFR","If Yes, iTFR level",1.5,0,10,step=.1),
numericInput("ImposedTFR_ar","If Yes, iTFR AR(1)",.90,.00,.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),
selectInput("GrossMigrationProfile", "Gross migration age profile to use", selected="California",
c(
"California 2013 to 2017"="California"
),
),
hr(),
selectInput("ImputeMort", "Impute mortality?",
c(
"Yes"="YES",
"No"="NO"
),
),
numericInput("BAStart","If yes, Brass' model alpha for First projection step...",.03,-2,2,step=.03),
numericInput("BAEnd","...and Brass' model alpha for Last projection step",.12,-2,2,step=.03),
selectInput("LifeTable", "Life table standard to use", selected="Albania",
c(
"Albania 2011"="Albania",
"Belgium 2010 to 2012"="Belgium",
"Cameroon 2005"="Cameroon",
"Korea (Republic of) 2017"="Korea",
"Venezuela 2010"="Venezuela"
),
),
hr(),
p("This interface was made with ",
tags$a(href="https://shiny.rstudio.com/",
"Shiny for R."),
tags$a(href="https://edyhsgr.github.io/eddieh/",
"Eddie Hunsinger,"),
"August 2022."),
p("Information including ",
tags$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_UNWPP2022/",
"stochastic version, "),
"an ",
tags$a(href="https://shiny.demog.berkeley.edu/eddieh/CCRStable_ValView_Florida/",
"errors review version"),
"and a ",
tags$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://population.un.org/wpp/",
"United Nations World Population Prospects 2022."),
"Information on accessing United Nations World Population Prospects 2022 data through R statistical software: ",
tags$a(href="https://bonecave.schmert.net/un-api-1-year-pyramids-Argentina.html",
"Schmertmann (2022).")),
p(" More information on cohort change ratios, including a chapter on stable population: ",
tags$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.")),
p(tags$a(href="https://twitter.com/ApplDemogToolbx/status/1079286699941752832",
"Graph of e0 and Brass' relational life table alpha by US state.")),
"Life tables are from the ",
tags$a(href="https://www.lifetable.de/",
"Human Life Table Database.")),
p(tags$a(href="https://applieddemogtoolbox.github.io/#CCRStable",
"Applied Demography Toolbox listing.")),
width=3
),
mainPanel(
plotOutput("plots")
))
)
server<-function(input, output) {
output$plots<-renderPlot({
par(mfrow=c(2,2))
##NUMBER FORMATTING
options(scipen=999)
##HLD SURVIVAL DATA (GENERIC)
if(input$LifeTable=="Albania") {lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_Albania2011_HLD.csv",header=TRUE,sep=",")
lmax<-21}
if(input$LifeTable=="Belgium") {lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_Belgium2010to2012_HLD.csv",header=TRUE,sep=",")
lmax<-23}
if(input$LifeTable=="Cameroon") {lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_Cameroon2005_HLD.csv",header=TRUE,sep=",")
lmax<-21}
if(input$LifeTable=="Korea") {lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_Korea2017_HLD.csv",header=TRUE,sep=",")
lmax<-22}
if(input$LifeTable=="Venezuela") {lt<-read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Mortality/lt_Venezuela2010_HLD.csv",header=TRUE,sep=",")
lmax<-22}
lxF<-lt$lx_Female/100000
lxM<-lt$lx_Male/100000
lxT<-lt$lx_Both/100000
lxF<-c(lxF[1],lxF[3:lmax])
lxM<-c(lxM[1],lxM[3:lmax])
lxT<-c(lxT[1],lxT[3:lmax])
##SELECT CENSUS ACS (via IPUMS) MIGRATION DATA
if(input$GrossMigrationProfile=="California") {
Migration<-data.frame(read.table(file="https://raw.githubusercontent.com/edyhsgr/CCRStable/master/InputData/Migration/AGenericMigrationProfile_CA_2013to2017ACS.csv",header=TRUE,sep=","))
Migration<-c(Migration$CA_F,Migration$CA_M)
}
##RUN ONLY IF AREA INPUTS ARE PROVIDED
if(input$Area=="") { # | input$STEP>2100) {
plot.new()
legend("topleft",legend=c("Select an area with the panel to the left"),cex=1.85,bty="n") #, "'Project to (year)' maximum for this version is 2100"),cex=1.85,bty="n")
}
if(input$Area!="" & input$STEP<=3000) {
##########
##READING EXTERNAL DATA IN
##########
base_url<-"https://population.un.org/dataportalapi/api/v1"
Area_select<-data.frame(read.csv(paste(c(base_url,"/locations?sort=id&format=csv"),collapse=""),sep="|",skip=1))
Select_url<-paste(c(base_url, #Thanks for guidance from https://bonecave.schmert.net/un-api-1-year-pyramids-Argentina.html !
"/data/indicators/",
46, #46 is PopByAge5AndSex
"/locations/",
Area_select$Id[Area_select$Name==input$Area],
"/start/",2010,
"/end/",2020,
"/?format=csv"),collapse="")
Select<-read.csv(Select_url,sep="|",skip=1)
if(input$STEP<=2100) {
SelectVal_url<-paste(c(base_url,
"/data/indicators/",
46, #46 is PopByAge5AndSex
"/locations/",
Area_select$Id[Area_select$Name==input$Area],
"/start/",input$STEP,
"/end/",input$STEP,
"/?format=csv"),collapse="")
SelectVal<-read.csv(SelectVal_url,sep="|",skip=1)
}
##########
##SCRIPT INPUTS
##########
##DIMENSIONS
SIZE<-36
HALFSIZE<-SIZE/2
STEPS<-(input$STEP-2015)/5
STEPSSTABLE<-STEPS+1000
CURRENTSTEP<-0
CURRENTSTEPSTABLE<-0
PROJECTIONYEAR<-STEPS*5+2015
FERTWIDTH<-35
##SELECTING RATIOS BASIS
FirstYear<-strtoi(input$RatiosFrom)
SecondYear<-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$Sex
##SELECT AREA
Name<-paste(input$Area)
##SELECTING FROM THE INPUT POPULATION TABLE (Select) BASED ON INPUTS
TMinusOneAgeInit_F<-subset(Select,Sex=="Female" & TimeLabel==2010 & AgeStart<90)
TMinusOneAgeInit_F<-TMinusOneAgeInit_F$Value
TMinusOneAgeInit_F_Max<-subset(Select,Sex=="Female" & TimeLabel==2010 & AgeStart>80)
TMinusOneAgeInit_F[18]<-sum(TMinusOneAgeInit_F_Max$Value)
TMinusOneAge_F<-TMinusOneAgeInit_F
TMinusOneAgeInit_M<-subset(Select,Sex=="Male" & TimeLabel==2010 & AgeStart<90)
TMinusOneAgeInit_M<-TMinusOneAgeInit_M$Value
TMinusOneAgeInit_M_Max<-subset(Select,Sex=="Male" & TimeLabel==2010 & AgeStart>80)
TMinusOneAgeInit_M[18]<-sum(TMinusOneAgeInit_M_Max$Value)
TMinusOneAge_M<-TMinusOneAgeInit_M
TMinusOneAge<-TMinusOneAgeInit<-c(TMinusOneAge_F,TMinusOneAge_M)
TMinusOneAgeInitRatios_F<-subset(Select,Sex=="Female" & TimeLabel==FirstYear & AgeStart<90)
TMinusOneAgeInitRatios_F<-TMinusOneAgeInitRatios_F$Value
TMinusOneAgeInitRatios_F_Max<-subset(Select,Sex=="Female" & TimeLabel==2010 & AgeStart>80)
TMinusOneAgeInitRatios_F[18]<-sum(TMinusOneAgeInitRatios_F_Max$Value)
TMinusOneAgeRatios_F<-TMinusOneAgeInitRatios_F
TMinusOneAgeInitRatios_M<-subset(Select,Sex=="Male" & TimeLabel==FirstYear & AgeStart<90)
TMinusOneAgeInitRatios_M<-TMinusOneAgeInitRatios_M$Value
TMinusOneAgeInitRatios_M_Max<-subset(Select,Sex=="Male" & TimeLabel==2010 & AgeStart>80)
TMinusOneAgeInitRatios_M[18]<-sum(TMinusOneAgeInitRatios_M_Max$Value)
TMinusOneAgeRatios_M<-TMinusOneAgeInitRatios_M
TMinusOneAgeRatios<-TMinusOneAgeInitRatios<-c(TMinusOneAgeRatios_F,TMinusOneAgeRatios_M)
TMinusZeroAgeInit_F<-subset(Select,Sex=="Female" & TimeLabel==2015 & AgeStart<90)
TMinusZeroAgeInit_F<-TMinusZeroAgeInit_F$Value
TMinusZeroAgeInit_F_Max<-subset(Select,Sex=="Female" & TimeLabel==2015 & AgeStart>80)
TMinusZeroAgeInit_F[18]<-sum(TMinusZeroAgeInit_F_Max$Value)
TMinusZeroAge_F<-TMinusZeroAgeInit_F
TMinusZeroAgeInit_M<-subset(Select,Sex=="Male" & TimeLabel==2015 & AgeStart<90)
TMinusZeroAgeInit_M<-TMinusZeroAgeInit_M$Value
TMinusZeroAgeInit_M_Max<-subset(Select,Sex=="Male" & TimeLabel==2015 & AgeStart>80)
TMinusZeroAgeInit_M[18]<-sum(TMinusZeroAgeInit_M_Max$Value)
TMinusZeroAge_M<-TMinusZeroAgeInit_M
TMinusZeroAge<-TMinusZeroAgeInit<-c(TMinusZeroAge_F,TMinusZeroAge_M)
TMinusZeroAgeInitRatios_F<-subset(Select,Sex=="Female" & TimeLabel==SecondYear & AgeStart<90)
TMinusZeroAgeInitRatios_F<-TMinusZeroAgeInitRatios_F$Value
TMinusZeroAgeInitRatios_F_Max<-subset(Select,Sex=="Female" & TimeLabel==2015 & AgeStart>80)
TMinusZeroAgeInitRatios_F[18]<-sum(TMinusZeroAgeInitRatios_F_Max$Value)
TMinusZeroAgeRatios_F<-TMinusZeroAgeInitRatios_F
TMinusZeroAgeInitRatios_M<-subset(Select,Sex=="Male" & TimeLabel==SecondYear & AgeStart<90)
TMinusZeroAgeInitRatios_M<-TMinusZeroAgeInitRatios_M$Value
TMinusZeroAgeInitRatios_M_Max<-subset(Select,Sex=="Male" & TimeLabel==2015 & AgeStart>80)
TMinusZeroAgeInitRatios_M[18]<-sum(TMinusZeroAgeInitRatios_M_Max$Value)
TMinusZeroAgeRatios_M<-TMinusZeroAgeInitRatios_M
TMinusZeroAgeRatios<-TMinusZeroAgeInitRatios<-c(TMinusZeroAgeRatios_F,TMinusZeroAgeRatios_M)
##SELECTING THE UNWPP POPULATION PROJECTION TABLE (SelectVal) BASED ON INPUTS
if(input$STEP<=2100) {
TValAge_F<-subset(SelectVal,Sex=="Female" & TimeLabel==input$STEP & AgeStart<90 & Variant=="Median")
TValAge_F<-TValAge_F$Value
TValAge_F_Max<-subset(SelectVal,Sex=="Female" & TimeLabel==input$STEP & AgeStart>80 & Variant=="Median")
TValAge_F[18]<-sum(TValAge_F_Max$Value)
TValAge_M<-subset(SelectVal,Sex=="Male" & TimeLabel==input$STEP & AgeStart<90 & Variant=="Median")
TValAge_M<-TValAge_M$Value
TValAge_M_Max<-subset(SelectVal,Sex=="Male" & TimeLabel==input$STEP & AgeStart>80 & Variant=="Median")
TValAge_M[18]<-sum(TValAge_M_Max$Value)
TValAge<-c(TValAge_F,TValAge_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$TMinusZeroAge[(HALFSIZE+1):SIZE]
TMinusOneAgeInit_M<-TMinusOneAgeInit[(HALFSIZE+1):SIZE]
TMinusZeroAgeInit_M<-TMinusZeroAgeInit[(HALFSIZE+1):SIZE]
NewAge_T<-NewAge_F+NewAge_M
StableAge_T<-StableAge_F+StableAge_M
TMinusOneAgeInit_T<-TMinusOneAgeInit_F+TMinusOneAgeInit_M
TMinusZeroAgeInit_T<-TMinusZeroAgeInit_F+TMinusZeroAgeInit_M
NewAge<-array(c(NewAge_T,NewAge_F,NewAge_M),c(HALFSIZE,3))
StableAge<-array(c(StableAge_T,StableAge_F,StableAge_M),c(HALFSIZE,3))
TMinusOneAgeInit<-array(c(TMinusOneAgeInit_T,TMinusOneAgeInit_F,TMinusOneAgeInit_M),c(HALFSIZE,3))
TMinusZeroAgeInit<-array(c(TMinusZeroAgeInit_T,TMinusZeroAgeInit_F,TMinusZeroAgeInit_M),c(HALFSIZE,3))
##########
##GRAPHING DATA (SOME ~HACKY LABELING SO MAY [LIKELY] NOT RENDER WELL)
##########
##FIRST GRAPH - MAJOR SUMMARY
agegroups<-c("0-4", "5-9", "10-14", "15-19", "20-24", "25-29", "30-34", "35-39", "40-44", "45-49", "50-54", "55-59", "60-64", "65-69", "70-74", "75-79", "80-84", "85+")
if(SelectBySex=="Total") {plot(TMinusOneAgeInit[,1]/sum(TMinusOneAgeInit[,1]),type="l",col="orange",main=paste(text=c(input$Area,", ",input$Sex),collapse=""),ylim=c(0,.12),axes=FALSE,xlab="",ylab="Population (proportional)",lwd=4)}
if(SelectBySex=="Female") {plot(TMinusOneAgeInit[,2]/sum(TMinusOneAgeInit[,2]),type="l",col="orange",main=paste(text=c(input$Area,", ",input$Sex),collapse=""),ylim=c(0,.12),axes=FALSE,xlab="",ylab="Population (proportional)",lwd=4)}
if(SelectBySex=="Male") {plot(TMinusOneAgeInit[,3]/sum(TMinusOneAgeInit[,3]),type="l",col="orange",main=paste(text=c(input$Area,", ",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 (estimate)","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(round(sum(TMinusOneAgeInit[,1]),0)),line=-15,adj=.3,col="orange")}
if(SelectBySex=="Female") {mtext(side=1,c(round(sum(TMinusOneAgeInit[,2]),0)),line=-15,adj=.3,col="orange")}
if(SelectBySex=="Male") {mtext(side=1,c(round(sum(TMinusOneAgeInit[,3]),0)),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(round(sum(TMinusZeroAgeInit[,1]),0)),line=-14,adj=.3,col="blue")}
if(SelectBySex=="Female") {mtext(side=1,c(round(sum(TMinusZeroAgeInit[,2]),0)),line=-14,adj=.3,col="blue")}
if(SelectBySex=="Male") {mtext(side=1,c(round(sum(TMinusZeroAgeInit[,3]),0)),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=.23,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=.235,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")
}