From 083bfebadf882c6a320e7564435aa441cc759362 Mon Sep 17 00:00:00 2001 From: Alex Gebben Work Date: Mon, 3 Nov 2025 10:01:39 -0700 Subject: [PATCH] Minor typo fix --- 2_Result_Analysis.r | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/2_Result_Analysis.r b/2_Result_Analysis.r index 10c6140..a889fb8 100644 --- a/2_Result_Analysis.r +++ b/2_Result_Analysis.r @@ -22,8 +22,8 @@ YEARS <- 2023:(2023+NUM_YEARS_PROJECTED) ALPHA=0.2 COLOR <- 'black' GRAPH_DATA$Percentile <- factor(GRAPH_DATA$Percentile,levels=rev(c('2.5%','5%','10%','25%','40%','60%','75%','90%','95%','97.5%'))) -GRAPH <- ggplot(data=GRAPH_DATA)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`2.5%`,ymax=`97.5%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`5%`,ymax=`95%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`10%`,ymax=`90%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`25%`,ymax=`75%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`40%`,ymax=`60%`),alpha=ALPHA,fill=COLOR)+geom_line(aes(x=Year,y=Population,group=Percentile,color=Percentile))+geom_line(data=HIST,aes(x=Year,y=Population),color='black',size=0.75)+geom_line(data=MEDIAN_PRED,aes(x=Year,y=Population),color='black',linetype=4,size=0.75)+ scale_x_continuous(breaks = c(seq(1940, 2070, by = 10)))+ scale_y_continuous(breaks = seq(0, 35000, by = 5000))+theme_bw()+ggtitle("Lincoln County, Wyoming Population Forecast") +GRAPH <- ggplot(data=GRAPH_DATA)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`2.5%`,ymax=`97.5%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`5%`,ymax=`95%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`10%`,ymax=`90%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`25%`,ymax=`75%`),alpha=ALPHA,fill=COLOR)+geom_ribbon(data=FAN_DATA,aes(x=Year,ymin=`40%`,ymax=`60%`),alpha=ALPHA,fill=COLOR)+geom_line(aes(x=Year,y=Population,group=Percentile,color=Percentile))+geom_line(data=HIST,aes(x=Year,y=Population),color='black',linewidth=0.75)+geom_line(data=MEDIAN_PRED,aes(x=Year,y=Population),color='black',linetype=4,linewidth=0.75)+ scale_x_continuous(breaks = c(seq(1940, 2070, by = 10)))+ scale_y_continuous(breaks = seq(0, 35000, by = 5000))+theme_bw()+ggtitle("Lincoln County, Wyoming Population Forecast") GRAPH length(RES$SIM_ID %>% unique) -ggsave(Lincoln_Forecast.png",GRAPH) +ggsave("Lincoln_Forecast.png",GRAPH)