R/popTable.R
In ColoradoDemography/codemogLib:
Defines functions
popTable
#' popTable The population table showing the annual growth rate in the Population Section
#'
#' @param listID the list containing place id and Place names
#' @param sYr Start Year
#' @param eYr End year
#' @param oType Output Type, html or latex
#' @return kable formatted table and data file
#' @export
#'
popTable <- function(listID,sYr,eYr,oType) {
# Collecting place ids from idList, setting default values
ctyfips <- listID$ctyNum
ctyname <- listID$ctyName
placefips <- listID$plNum
placename <- listID$plName
#if(listID$PlFilter == "T") {
# placefips <- ""
# placename <- ""
# }
#outputs the Population Growth Rate table in the population section..
state <- "Colorado"
ctynum <- as.numeric(ctyfips)
placenum <- as.numeric(placefips)
yrs <- as.character(setYrRange(sYr,eYr))
#State Population and Growth Rate
popCO=county_profile(0, sYr:eYr, "totalpopulation")%>%
filter(year %in% yrs)%>%
mutate(name="Colorado",
totalpopulation=as.numeric(totalpopulation),
year=as.numeric(year),
growthRate=percent(signif((((totalpopulation/lag(totalpopulation))^(1/(year-lag(year)))) -1)*100),digits=1),
Population=comma(totalpopulation))
mCO <- popCO[,c(1,5,7,6)]
#County Population and Growth Rate *** need to account for multip county communities...
mCty <- county_profile(ctynum, sYr:eYr, "totalpopulation")%>%
filter(year %in% yrs)%>%
arrange(county,year)%>%
mutate(name=county,
year=as.numeric(year),
totalpopulation=as.numeric(totalpopulation),
growthRate=percent(signif((((totalpopulation/lag(totalpopulation))^(1/(year-lag(year)))) -1)*100),digits=1),
Population=comma(totalpopulation))
mCty$Population <- ifelse(mCty$totalpopulation == 0, " ",mCty$Population)
if(nchar(placename) != 0) { #if a placename is present
sqlStrPop1 <- paste0("SELECT countyfips, placefips, municipalityname, year, totalpopulation FROM estimates.county_muni_timeseries WHERE placefips = ",placenum,";")
# Postgres Call to gather municipal jobs numbers
pw <- {
"demography"
}
# loads the PostgreSQL driver
drv <- dbDriver("PostgreSQL")
# creates a connection to the postgres database
# note that "con" will be used later in each connection to the database
con <- dbConnect(drv, dbname = "dola",
host = "104.197.26.248", port = 5433,
user = "codemog", password = pw)
rm(pw) # removes the password
f.popPlace <- dbGetQuery(con, sqlStrPop1)
#closing the connections
dbDisconnect(con)
dbUnloadDriver(drv)
rm(con)
rm(drv)
f.popPlace <- f.popPlace[which(f.popPlace$countyfips != 999), ] # removing "Total" for multi-county cities
f.popPlace$totalpopulation <- ifelse(is.na(f.popPlace$totalpopulation),0,f.popPlace$totalpopulation) #Fixing NA values
f.popPlace$municipalityname <-gsub(' \\([P,p]art\\)','',f.popPlace$municipalityname)
# Adding records for Municipalities incorpropated after the beginning date in the series
if(min(f.popPlace$year) > sYr) {
minYr <- min(f.popPlace$year)
newRows <- minYr - sYr
newYr <- matrix(nrow=newRows, ncol=5)
for(x in 1:newRows) {
newYr[x,1] <- ctyfips
newYr[x,2] <- placefips
newYr[x,3] <- placename
newYr[x,4] <- as.numeric(sYr + (x - 1))
newYr[x,5] <- 0
}
f.newRec <- as.data.frame(newYr,stringsAsFactors=FALSE)
names(f.newRec) <- c("countyfips", "placefips", "municipalityname", "year", "totalpopulation")
f.newRec$year <- as.numeric(f.newRec$year)
f.newRec$totalpopulation <- as.numeric(f.newRec$totalpopulation)
f.popPlace <- rbind(f.newRec,f.popPlace)
}
PP <- f.popPlace %>% group_by(placefips, municipalityname, year) %>% summarize(totalpopulation = sum(as.numeric(totalpopulation)))
placX <- PP %>%
filter(year %in% yrs)%>%
arrange(year)
placX$Population <- format(placX$totalpopulation,big.mark=",")
placX$growthRate <- percent((((placX$totalpopulation/lag(placX$totalpopulation))^(1/(placX$year-lag(placX$year)))) -1)*100,digits=1)
placX$Population <- ifelse(placX$totalpopulation == 0, " ",placX$Population)
mPlace <- as.matrix(placX[,c(3,2,5,6)])
}
if(nchar(placename) != 0) { #if a placename is present
m.OutTab <- cbind(mPlace,mCty,mCO)
m.OutTab <- m.OutTab[,c(1,3,4,11,10,14,15)]
} else {
m.OutTab <- cbind(mCty,mCO)
m.OutTab <- m.OutTab[,c(3,7,6,10,11)]
}
m.OutTab$year <- as.character(m.OutTab$year)
x.OutTab <- as.matrix(m.OutTab)
x.OutTab <- gsub("NA%","",x.OutTab)
#Additional Suppressions
x.OutTab <- gsub("NaN%","",x.OutTab)
x.OutTab <- gsub("Inf%","",x.OutTab)
if(nchar(placename) != 0) {
names_spaced <- c("Year","Population","Growth Rate","Population","Growth Rate","Population","Growth Rate")
tblHead <- c(" " = 1, placename = 2, ctyname = 2, state = 2)
names(tblHead) <- c(" ", placename, ctyname,state)
} else {
names_spaced <- c("Year","Population","Growth Rate","Population","Growth Rate")
tblHead <- c(" " = 1, ctyname = 2, state = 2)
names(tblHead) <- c(" ", ctyname,state)
}
if(oType == "html") {
# Creating Final Table (kable)
if(nchar(placename) != 0) {
OutTab <- x.OutTab %>%
kable(format='html', table.attr='class="myTable"',
caption = "Population Growth Rate",
row.names=FALSE,
align='lrrrrrr',
col.names = names_spaced,
escape = FALSE) %>%
kable_styling(bootstrap_options = "condensed") %>%
column_spec(1, width = "0.4in") %>%
column_spec(2, width = "0.5in") %>%
column_spec(3, width ="0.5in") %>%
column_spec(4, width = "0.5in") %>%
column_spec(5, width = "0.5in") %>%
column_spec(6, width = "0.5in") %>%
column_spec(7, width = "0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
} else {
OutTab <-
kable(x.OutTab,format='html', table.attr='class="myTable"',
caption = "Population Growth Rate",
row.names=FALSE,
align='lrrrr',
col.names = names_spaced,
escape = FALSE) %>%
kable_styling(bootstrap_options = "condensed") %>%
column_spec(1, width = "0.4in") %>%
column_spec(2, width = "0.5in") %>%
column_spec(3, width = "0.5in") %>%
column_spec(4, width = "0.5in") %>%
column_spec(5, width = "0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
}
# Creating Final Data Set and Flex table
f.Out2 <- as.data.frame(x.OutTab)
if(ncol(f.Out2) == 5) {
names(f.Out2) <- c("Year",paste0("Population: ",ctyname),paste0("Growth Rate: ",ctyname),
"Population: Colorado","Growth Rate: Colorado")
# Creating FlexTable
FlexOut <- regulartable(as.data.frame(x.OutTab))
FlexOut <- set_header_labels(FlexOut, year = "Year",
Population = "Population", growthRate = "Growth Rate",
Population.1 = "Population", growthRate.1 = "Growth Rate")
FlexOut <- add_header(FlexOut,year ="",Population=ctyname,growthRate="",
Population.1="Colorado",growthRate.1="",top=TRUE)
FlexOut <- add_header(FlexOut,year ="Population Growth Table", top=TRUE)
FlexOut <- add_footer(FlexOut,year=captionSrc("SDO",""))
FlexOut <- merge_at(FlexOut,i=1,j = 1:5,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 2:3,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 4:5,part="header")
FlexOut <- merge_at(FlexOut, j = 1:5, part = "footer")
FlexOut <- align(FlexOut,i=1,j = 1, align="left",part="header")
FlexOut <- align(FlexOut,i=2:3,j = 1:5, align="center",part="header")
FlexOut <- align(FlexOut,align="left",part="footer")
FlexOut <- autofit(FlexOut)
FlexOut <- width(FlexOut, j = ~ year, width = 1)
}
if(ncol(f.Out2) == 7) {
names(f.Out2) <- c("Year",paste0("Population: ",placename),paste0("Growth Rate: ",placename),
paste0("Population: ",ctyname),paste0("Growth Rate: ",ctyname),
"Population: Colorado","Growth Rate: Colorado")
# Creating FlexTable
FlexOut <- regulartable(as.data.frame(x.OutTab))
FlexOut <- set_header_labels(FlexOut, year = "Year",
Population = "Population", growthRate = "Growth Rate",
Population.1 = "Population", growthRate.1 = "Growth Rate",
Population.2 = "Population", growthRate.2 = "Growth Rate")
FlexOut <- add_header(FlexOut,year ="",
Population=placename,growthRate="",
Population.1=ctyname,growthRate.1="",
Population.2="Colorado",growthRate.2="",top=TRUE)
FlexOut <- add_header(FlexOut,year ="Population Growth Table", top=TRUE)
FlexOut <- add_footer(FlexOut,year=captionSrc("SDO",""))
FlexOut <- merge_at(FlexOut,i=1,j = 1:7,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 2:3,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 4:5,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 6:7,part="header")
FlexOut <- merge_at(FlexOut, j = 1:7, part = "footer")
FlexOut <- align(FlexOut,i=1,j = 1, align="left",part="header")
FlexOut <- align(FlexOut,i=2:3,j = 1:7, align="center",part="header")
FlexOut <- align(FlexOut,align="left",part="footer")
FlexOut <- autofit(FlexOut)
FlexOut <- width(FlexOut, j = ~ year, width = 1)
}
# bind list
outList <- list("table" = OutTab,"data" = f.Out2,"FlexTable"=FlexOut)
return(outList)
}
if(oType == "latex") {
if(nchar(placename) != 0) {
OutTab <- x.OutTab %>%
kable(digits=1,
row.names=FALSE,
align="lrrrrrr",
col.names = names_spaced,
caption="Population Growth Rate",
format ="latex", booktabs=TRUE) %>%
kable_styling(latex_options="HOLD_position",font_size=9) %>%
row_spec(0, align="c") %>%
column_spec(column=1:7, width="0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
} else {
OutTab <- x.OutTab %>%
kable(digits=1,
row.names=FALSE,
align="lrrrr",
col.names = names_spaced,
caption="Population Growth Rate",
format ="latex", booktabs=TRUE) %>%
kable_styling(latex_options="HOLD_position",font_size=9) %>%
row_spec(0, align="c") %>%
column_spec(column=1:5, width="0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
}
# Building text
RowN <- nrow(x.OutTab)
prevYr <- x.OutTab[RowN-1,1]
# Extracting last growth rates
if(nchar(placename) != 0) {
plGR <- gsub("%","",as.character(x.OutTab[RowN,3]))
ctyGR <- gsub("%","",as.character(x.OutTab[RowN,5]))
stGR <- gsub("%","",as.character(x.OutTab[RowN,7]))
} else {
# Extracting last growth rates
ctyGR <- gsub("%","",as.character(x.OutTab[RowN,3]))
stGR <- gsub("%","",as.character(x.OutTab[RowN,5]))
}
if(nchar(placename) != 0) {#Municipalities
OutTxt_pl <- paste0("At the end of ",eYr, " the estimated population of ",placename, " was ", x.OutTab[RowN,2],", ")
PopChgVal_pl <- as.numeric(gsub(",","",x.OutTab[RowN,2])) - as.numeric(gsub(",","",x.OutTab[RowN-1,2]))
PopChgFmt_pl <- format(PopChgVal_pl,big.mark=",")
PopChgTxt_pl <- ifelse(PopChgVal_pl > 0, paste0("an increase of ",PopChgFmt_pl," over the population in ",prevYr,"."),
ifelse(PopChgVal_pl < 0, paste0("a decrease of ",PopChgFmt_pl," over the population in ",prevYr,"."),paste0("did not change between ",prevYr, " and ",eYr,".")
))
grTxtpl <- paste0(" The growth rate for ",placename," between ",prevYr," and ",eYr, " was ",plGR," percent")
grTxtpl <- paste0(grTxtpl, " compared to ",ctyGR," percent for ",ctyname," and ",stGR," percent for the State of Colorado.")
outText <- paste0(OutTxt_pl, PopChgTxt_pl,grTxtpl)
} else {
OutTxt_cty <- paste0("At the end of ",eYr, " the estimated population of ",ctyname, " was ", x.OutTab[RowN,2],", ")
PopChgVal_cty <- as.numeric(gsub(",","",x.OutTab[RowN,2])) - as.numeric(gsub(",","",x.OutTab[RowN-1,2]))
PopChgFmt_cty <- format(PopChgVal_cty,big.mark=",")
PopChgTxt_cty <- ifelse(PopChgVal_cty > 0, paste0("an increase of ",PopChgFmt_cty," over the population in ",prevYr,"."),
ifelse(PopChgVal_cty < 0, paste0("a decrease of ",PopChgFmt_cty," over the population in ",prevYr,"."),paste0("did not change between ",prevYr, " and ",eYr,".")
))
grTxtcty <- paste0(" The growth rate for ",ctyname," between ",prevYr," and ",eYr, " was ",ctyGR," percent")
grTxtcty <- paste0(grTxtcty, " compared to ",stGR," percent for the State of Colorado.")
outText <- paste0(OutTxt_cty,PopChgTxt_cty,grTxtcty)
}
outlist <- list("table" = OutTab, "text" = outText)
return(outlist)
}
}
ColoradoDemography/codemogLib documentation built on Dec. 15, 2020, 2:42 a.m.
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Defines functions popTable
#' popTable The population table showing the annual growth rate in the Population Section
#'
#' @param listID the list containing place id and Place names
#' @param sYr Start Year
#' @param eYr End year
#' @param oType Output Type, html or latex
#' @return kable formatted table and data file
#' @export
#'
popTable <- function(listID,sYr,eYr,oType) {
# Collecting place ids from idList, setting default values
ctyfips <- listID$ctyNum
ctyname <- listID$ctyName
placefips <- listID$plNum
placename <- listID$plName
#if(listID$PlFilter == "T") {
# placefips <- ""
# placename <- ""
# }
#outputs the Population Growth Rate table in the population section..
state <- "Colorado"
ctynum <- as.numeric(ctyfips)
placenum <- as.numeric(placefips)
yrs <- as.character(setYrRange(sYr,eYr))
#State Population and Growth Rate
popCO=county_profile(0, sYr:eYr, "totalpopulation")%>%
filter(year %in% yrs)%>%
mutate(name="Colorado",
totalpopulation=as.numeric(totalpopulation),
year=as.numeric(year),
growthRate=percent(signif((((totalpopulation/lag(totalpopulation))^(1/(year-lag(year)))) -1)*100),digits=1),
Population=comma(totalpopulation))
mCO <- popCO[,c(1,5,7,6)]
#County Population and Growth Rate *** need to account for multip county communities...
mCty <- county_profile(ctynum, sYr:eYr, "totalpopulation")%>%
filter(year %in% yrs)%>%
arrange(county,year)%>%
mutate(name=county,
year=as.numeric(year),
totalpopulation=as.numeric(totalpopulation),
growthRate=percent(signif((((totalpopulation/lag(totalpopulation))^(1/(year-lag(year)))) -1)*100),digits=1),
Population=comma(totalpopulation))
mCty$Population <- ifelse(mCty$totalpopulation == 0, " ",mCty$Population)
if(nchar(placename) != 0) { #if a placename is present
sqlStrPop1 <- paste0("SELECT countyfips, placefips, municipalityname, year, totalpopulation FROM estimates.county_muni_timeseries WHERE placefips = ",placenum,";")
# Postgres Call to gather municipal jobs numbers
pw <- {
"demography"
}
# loads the PostgreSQL driver
drv <- dbDriver("PostgreSQL")
# creates a connection to the postgres database
# note that "con" will be used later in each connection to the database
con <- dbConnect(drv, dbname = "dola",
host = "104.197.26.248", port = 5433,
user = "codemog", password = pw)
rm(pw) # removes the password
f.popPlace <- dbGetQuery(con, sqlStrPop1)
#closing the connections
dbDisconnect(con)
dbUnloadDriver(drv)
rm(con)
rm(drv)
f.popPlace <- f.popPlace[which(f.popPlace$countyfips != 999), ] # removing "Total" for multi-county cities
f.popPlace$totalpopulation <- ifelse(is.na(f.popPlace$totalpopulation),0,f.popPlace$totalpopulation) #Fixing NA values
f.popPlace$municipalityname <-gsub(' \\([P,p]art\\)','',f.popPlace$municipalityname)
# Adding records for Municipalities incorpropated after the beginning date in the series
if(min(f.popPlace$year) > sYr) {
minYr <- min(f.popPlace$year)
newRows <- minYr - sYr
newYr <- matrix(nrow=newRows, ncol=5)
for(x in 1:newRows) {
newYr[x,1] <- ctyfips
newYr[x,2] <- placefips
newYr[x,3] <- placename
newYr[x,4] <- as.numeric(sYr + (x - 1))
newYr[x,5] <- 0
}
f.newRec <- as.data.frame(newYr,stringsAsFactors=FALSE)
names(f.newRec) <- c("countyfips", "placefips", "municipalityname", "year", "totalpopulation")
f.newRec$year <- as.numeric(f.newRec$year)
f.newRec$totalpopulation <- as.numeric(f.newRec$totalpopulation)
f.popPlace <- rbind(f.newRec,f.popPlace)
}
PP <- f.popPlace %>% group_by(placefips, municipalityname, year) %>% summarize(totalpopulation = sum(as.numeric(totalpopulation)))
placX <- PP %>%
filter(year %in% yrs)%>%
arrange(year)
placX$Population <- format(placX$totalpopulation,big.mark=",")
placX$growthRate <- percent((((placX$totalpopulation/lag(placX$totalpopulation))^(1/(placX$year-lag(placX$year)))) -1)*100,digits=1)
placX$Population <- ifelse(placX$totalpopulation == 0, " ",placX$Population)
mPlace <- as.matrix(placX[,c(3,2,5,6)])
}
if(nchar(placename) != 0) { #if a placename is present
m.OutTab <- cbind(mPlace,mCty,mCO)
m.OutTab <- m.OutTab[,c(1,3,4,11,10,14,15)]
} else {
m.OutTab <- cbind(mCty,mCO)
m.OutTab <- m.OutTab[,c(3,7,6,10,11)]
}
m.OutTab$year <- as.character(m.OutTab$year)
x.OutTab <- as.matrix(m.OutTab)
x.OutTab <- gsub("NA%","",x.OutTab)
#Additional Suppressions
x.OutTab <- gsub("NaN%","",x.OutTab)
x.OutTab <- gsub("Inf%","",x.OutTab)
if(nchar(placename) != 0) {
names_spaced <- c("Year","Population","Growth Rate","Population","Growth Rate","Population","Growth Rate")
tblHead <- c(" " = 1, placename = 2, ctyname = 2, state = 2)
names(tblHead) <- c(" ", placename, ctyname,state)
} else {
names_spaced <- c("Year","Population","Growth Rate","Population","Growth Rate")
tblHead <- c(" " = 1, ctyname = 2, state = 2)
names(tblHead) <- c(" ", ctyname,state)
}
if(oType == "html") {
# Creating Final Table (kable)
if(nchar(placename) != 0) {
OutTab <- x.OutTab %>%
kable(format='html', table.attr='class="myTable"',
caption = "Population Growth Rate",
row.names=FALSE,
align='lrrrrrr',
col.names = names_spaced,
escape = FALSE) %>%
kable_styling(bootstrap_options = "condensed") %>%
column_spec(1, width = "0.4in") %>%
column_spec(2, width = "0.5in") %>%
column_spec(3, width ="0.5in") %>%
column_spec(4, width = "0.5in") %>%
column_spec(5, width = "0.5in") %>%
column_spec(6, width = "0.5in") %>%
column_spec(7, width = "0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
} else {
OutTab <-
kable(x.OutTab,format='html', table.attr='class="myTable"',
caption = "Population Growth Rate",
row.names=FALSE,
align='lrrrr',
col.names = names_spaced,
escape = FALSE) %>%
kable_styling(bootstrap_options = "condensed") %>%
column_spec(1, width = "0.4in") %>%
column_spec(2, width = "0.5in") %>%
column_spec(3, width = "0.5in") %>%
column_spec(4, width = "0.5in") %>%
column_spec(5, width = "0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
}
# Creating Final Data Set and Flex table
f.Out2 <- as.data.frame(x.OutTab)
if(ncol(f.Out2) == 5) {
names(f.Out2) <- c("Year",paste0("Population: ",ctyname),paste0("Growth Rate: ",ctyname),
"Population: Colorado","Growth Rate: Colorado")
# Creating FlexTable
FlexOut <- regulartable(as.data.frame(x.OutTab))
FlexOut <- set_header_labels(FlexOut, year = "Year",
Population = "Population", growthRate = "Growth Rate",
Population.1 = "Population", growthRate.1 = "Growth Rate")
FlexOut <- add_header(FlexOut,year ="",Population=ctyname,growthRate="",
Population.1="Colorado",growthRate.1="",top=TRUE)
FlexOut <- add_header(FlexOut,year ="Population Growth Table", top=TRUE)
FlexOut <- add_footer(FlexOut,year=captionSrc("SDO",""))
FlexOut <- merge_at(FlexOut,i=1,j = 1:5,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 2:3,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 4:5,part="header")
FlexOut <- merge_at(FlexOut, j = 1:5, part = "footer")
FlexOut <- align(FlexOut,i=1,j = 1, align="left",part="header")
FlexOut <- align(FlexOut,i=2:3,j = 1:5, align="center",part="header")
FlexOut <- align(FlexOut,align="left",part="footer")
FlexOut <- autofit(FlexOut)
FlexOut <- width(FlexOut, j = ~ year, width = 1)
}
if(ncol(f.Out2) == 7) {
names(f.Out2) <- c("Year",paste0("Population: ",placename),paste0("Growth Rate: ",placename),
paste0("Population: ",ctyname),paste0("Growth Rate: ",ctyname),
"Population: Colorado","Growth Rate: Colorado")
# Creating FlexTable
FlexOut <- regulartable(as.data.frame(x.OutTab))
FlexOut <- set_header_labels(FlexOut, year = "Year",
Population = "Population", growthRate = "Growth Rate",
Population.1 = "Population", growthRate.1 = "Growth Rate",
Population.2 = "Population", growthRate.2 = "Growth Rate")
FlexOut <- add_header(FlexOut,year ="",
Population=placename,growthRate="",
Population.1=ctyname,growthRate.1="",
Population.2="Colorado",growthRate.2="",top=TRUE)
FlexOut <- add_header(FlexOut,year ="Population Growth Table", top=TRUE)
FlexOut <- add_footer(FlexOut,year=captionSrc("SDO",""))
FlexOut <- merge_at(FlexOut,i=1,j = 1:7,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 2:3,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 4:5,part="header")
FlexOut <- merge_at(FlexOut,i=2,j = 6:7,part="header")
FlexOut <- merge_at(FlexOut, j = 1:7, part = "footer")
FlexOut <- align(FlexOut,i=1,j = 1, align="left",part="header")
FlexOut <- align(FlexOut,i=2:3,j = 1:7, align="center",part="header")
FlexOut <- align(FlexOut,align="left",part="footer")
FlexOut <- autofit(FlexOut)
FlexOut <- width(FlexOut, j = ~ year, width = 1)
}
# bind list
outList <- list("table" = OutTab,"data" = f.Out2,"FlexTable"=FlexOut)
return(outList)
}
if(oType == "latex") {
if(nchar(placename) != 0) {
OutTab <- x.OutTab %>%
kable(digits=1,
row.names=FALSE,
align="lrrrrrr",
col.names = names_spaced,
caption="Population Growth Rate",
format ="latex", booktabs=TRUE) %>%
kable_styling(latex_options="HOLD_position",font_size=9) %>%
row_spec(0, align="c") %>%
column_spec(column=1:7, width="0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
} else {
OutTab <- x.OutTab %>%
kable(digits=1,
row.names=FALSE,
align="lrrrr",
col.names = names_spaced,
caption="Population Growth Rate",
format ="latex", booktabs=TRUE) %>%
kable_styling(latex_options="HOLD_position",font_size=9) %>%
row_spec(0, align="c") %>%
column_spec(column=1:5, width="0.5in") %>%
add_header_above(header=tblHead) %>%
footnote(captionSrc("SDO",""))
}
# Building text
RowN <- nrow(x.OutTab)
prevYr <- x.OutTab[RowN-1,1]
# Extracting last growth rates
if(nchar(placename) != 0) {
plGR <- gsub("%","",as.character(x.OutTab[RowN,3]))
ctyGR <- gsub("%","",as.character(x.OutTab[RowN,5]))
stGR <- gsub("%","",as.character(x.OutTab[RowN,7]))
} else {
# Extracting last growth rates
ctyGR <- gsub("%","",as.character(x.OutTab[RowN,3]))
stGR <- gsub("%","",as.character(x.OutTab[RowN,5]))
}
if(nchar(placename) != 0) {#Municipalities
OutTxt_pl <- paste0("At the end of ",eYr, " the estimated population of ",placename, " was ", x.OutTab[RowN,2],", ")
PopChgVal_pl <- as.numeric(gsub(",","",x.OutTab[RowN,2])) - as.numeric(gsub(",","",x.OutTab[RowN-1,2]))
PopChgFmt_pl <- format(PopChgVal_pl,big.mark=",")
PopChgTxt_pl <- ifelse(PopChgVal_pl > 0, paste0("an increase of ",PopChgFmt_pl," over the population in ",prevYr,"."),
ifelse(PopChgVal_pl < 0, paste0("a decrease of ",PopChgFmt_pl," over the population in ",prevYr,"."),paste0("did not change between ",prevYr, " and ",eYr,".")
))
grTxtpl <- paste0(" The growth rate for ",placename," between ",prevYr," and ",eYr, " was ",plGR," percent")
grTxtpl <- paste0(grTxtpl, " compared to ",ctyGR," percent for ",ctyname," and ",stGR," percent for the State of Colorado.")
outText <- paste0(OutTxt_pl, PopChgTxt_pl,grTxtpl)
} else {
OutTxt_cty <- paste0("At the end of ",eYr, " the estimated population of ",ctyname, " was ", x.OutTab[RowN,2],", ")
PopChgVal_cty <- as.numeric(gsub(",","",x.OutTab[RowN,2])) - as.numeric(gsub(",","",x.OutTab[RowN-1,2]))
PopChgFmt_cty <- format(PopChgVal_cty,big.mark=",")
PopChgTxt_cty <- ifelse(PopChgVal_cty > 0, paste0("an increase of ",PopChgFmt_cty," over the population in ",prevYr,"."),
ifelse(PopChgVal_cty < 0, paste0("a decrease of ",PopChgFmt_cty," over the population in ",prevYr,"."),paste0("did not change between ",prevYr, " and ",eYr,".")
))
grTxtcty <- paste0(" The growth rate for ",ctyname," between ",prevYr," and ",eYr, " was ",ctyGR," percent")
grTxtcty <- paste0(grTxtcty, " compared to ",stGR," percent for the State of Colorado.")
outText <- paste0(OutTxt_cty,PopChgTxt_cty,grTxtcty)
}
outlist <- list("table" = OutTab, "text" = outText)
return(outlist)
}
}
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