这里是基本代码,向this answer致敬:
require(RCurl)
require(foreign)
x = getURL("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv")
corona = read.csv(text = x, sep =",",header = T)
Italy <- corona[corona$Country.Region=='Italy',][1,5:ncol(corona)]
library(xts)
plot(xts(unlist(Italy),
order.by = as.Date(sub("X", "", names(Italy)),"%m.%d.%y")),
ylim=c(0,20000), main="Number Cov-19 Italy")
自然,我希望y轴上的值是案例数,例如here,但是如果运行类似的命令,我会得到实际的对数基数2:
LogItaly <- log2(Italy[,30:ncol(Italy)])
plot(xts(unlist(LogItaly),
order.by = as.Date(sub("X", "", names(LogItaly)),"%m.%d.%y")),
main=expression(paste(2^y, " - Doubling of no. cases Cov-19 ITL")),
ylim=c(0,16))
您可以使用ggplot2产生类似的图形,并按预期方式转换Y轴。
require(ggplot2)
ts_data=xts(unlist(Italy),order.by = as.Date(sub("X", "", names(Italy)),"%m.%d.%y"))
base_breaks<-function(n=10){
function(x){
axisTicks(log10(range(x,na.rm=TRUE)),log=TRUE,n=n)
}
}
ts_dataframe=data.frame(time=index(ts_data),cases=coredata(ts_data))
p<-ggplot(data=ts_dataframe[30:dim(ts_dataframe)[1],],aes(time,cases))+
geom_line()+
scale_y_continuous(trans='log2',breaks=base_breaks())+
scale_x_date(date_breaks="3 days",date_minor_breaks="1 days")+
xlab("time")+
ylab("cases")+
labs(title="Number Cov-19 Italy")+
theme_bw()
有关将xts转换为数据帧的更多信息,您可以查看here。