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Add zoomed charts.

master
Greg 2 years ago
parent
commit
175d29695e
  1. 24
      rcode.go

24
rcode.go

@ -24,12 +24,26 @@ trate <- pivot_wider(totals, names_from='name') %>% transmute(date=date,county=c
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)
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)
p1 <- ggplot(queens, aes(x=date, y=value, group=name, color=name))+geom_line(color='black',alpha=1/3)+scale_y_log10(n.breaks=6, position='right')+labs(y='',color='')+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(se=FALSE,method='gam')
p2 <- ggplot(totals, aes(x=date, y=value, group=name, color=name))+geom_line(color='black',alpha=1/3)+stat_smooth(geom='line', linetype='dotted', method='gam', se=FALSE)+scale_y_log10(n.breaks=6, position='right')+labs(y='')+labs(color='')+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')+geom_smooth(se=FALSE,method='gam')
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))
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))
pr1 <- ggplot(qrate, aes(x=date, y=value)) + geom_line(color='black',alpha=1/3)+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent, position='right')+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=1/3)+geom_smooth(method='gam',formula=y~s(x, bs="cs"),se=FALSE)+scale_y_continuous(labels = scales::percent, position='right')+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"))
queens <- tail(queens,n=16)
totals <- tail(totals,n=16)
qrate <- tail(qrate,n=8)
trate <- tail(trate,n=8)
p3 <- ggplot(queens, aes(x=date, y=value, color=name))+geom_line()+scale_y_log10(n.breaks=12, position='right')+labs(y='',color='')+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')
p4 <- ggplot(totals, aes(x=date, y=value, color=name))+geom_line()+scale_y_log10(n.breaks=12, position='right')+labs(y='')+labs(color='')+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))+theme(legend.position='bottom')
pr3 <- ggplot(qrate, aes(x=date, y=value)) + geom_line()+scale_y_continuous(labels = scales::percent, position='right')+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('Queens')+theme(plot.title=element_text(hjust = 0.5))
pr4 <- ggplot(trate, aes(x=date, y=value)) + geom_line()+scale_y_continuous(labels = scales::percent, position='right')+labs(y='Positive Rate')+coord_cartesian(ylim=c(0,0.04))+ggtitle('New York')+theme(plot.title=element_text(hjust = 0.5))
pdf(width=8,height=16)
grid.arrange(p1, p2, pr1, pr2, p3, p4, pr3, pr4, ncol=2, top=format(d[[nrow(d),1]], "%B %d %Y"))
dev.off()
`
}

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