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Author SHA1 Message Date
Greg
d5a5eb0f1a Tweak R code. 2020-08-28 12:10:38 -04:00
1 changed files with 4 additions and 4 deletions
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@ -24,11 +24,11 @@ trate <- pivot_wider(totals, names_from='name') %>% transmute(date=date,county=c
d2 <- rbind(queens, totals) d2 <- rbind(queens, totals)
p1 <- ggplot(queens, aes(x=date, y=value, group=name, color=name))+geom_line(color='black',alpha=1/2)+scale_y_log10(n.breaks=6)+labs(y='',color='')+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(method='gam',se=FALSE) p1 <- ggplot(queens, aes(x=date, y=value, color=name))+geom_line()+scale_y_log10(n.breaks=6)+labs(y='',color='')+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(method='gam',se=FALSE)
p2 <- ggplot(totals, aes(x=date, y=value, group=name, color=name))+geom_line(color='black',alpha=1/2)+scale_y_log10(n.breaks=6)+labs(y='')+labs(color='')+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(method='gam',se=FALSE) p2 <- ggplot(totals, aes(x=date, y=value, color=name))+geom_line()+stat_smooth(geom='line', linetype='dotted', method='gam', se=FALSE)+scale_y_log10(n.breaks=6)+labs(y='')+labs(color='')+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(method='gam',se=FALSE)
pr1 <- ggplot(qrate, aes(x=date, y=value)) + geom_line(color='black',alpha=1/2)+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent,)+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5)) pr1 <- ggplot(qrate, aes(x=date, y=value)) + geom_line()+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent,)+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))
pr2 <- ggplot(trate, aes(x=date, y=value)) + geom_line(color='black',alpha=1/2)+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent)+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5)) pr2 <- ggplot(trate, aes(x=date, y=value)) + geom_line()+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent)+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))
p <- grid.arrange(p1,p2,pr1,pr2,ncol=2,top=format(d[[nrow(d),1]], "%B %d %Y")) p <- grid.arrange(p1,p2,pr1,pr2,ncol=2,top=format(d[[nrow(d),1]], "%B %d %Y"))
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