Tweak R code.
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rcode.go
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rcode.go
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@ -24,9 +24,8 @@ trate <- pivot_wider(totals, names_from='name') %>% transmute(date=date,county=c
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d2 <- rbind(queens, totals)
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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')
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#p2 <- ggplot(d, aes(x=date, y=value, color=name))+geom_line(data=queens)+stat_smooth(geom='line', linetype='dotted', data=queens, method='gam', se=FALSE)+geom_line(alpha=1/3, data=totals)+stat_smooth(geom='line', linetype='dotted', data=totals, 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')
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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')
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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_line(method='gam',se=FALSE)
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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_line(method='gam',se=FALSE)
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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))
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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))
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