如何繪製按月份和日期平均的數據？

Question

我想重現情節：

從link

我幾乎能做到這一點，但我錯過了什麼：

library(lubridate) 
library(ggplot2) 
# get the data 
dates <- seq(as.Date("2012-01-01"), as.Date("2014-12-30"), by = 1) 
series <- seq(from = 1, to = 1095, by = 1) 
df<-data.frame(dates,series) 

# for aggregation 
df$month<-as.numeric(format(df$date, "%m")) 
df$week<-week(as.POSIXct(df$date)) 
df$weekday<-weekdays(as.POSIXct(df$date)) 
df$days<-as.numeric(format(df$date, "%d")) 
df$week_days<-as.numeric(format(df$date, "%w")) 

# for plotting 
for_plot=aggregate(series ~ + weekday+ month, data =df, FUN=mean) 


ggplot(for_plot, aes(x=weekday, y=series)) + geom_line(aes(group=month, color=month),size=2,alpha=0.5) 

Answer 1

你非常接近！ 只需兩到for_plot列class變化不大：

變化個月至因素得到每月

for_plot$month = as.factor(for_plot$month) 

一種顏色作爲平日是character ggplot默認試圖將其排序爲字符。要防止這個轉動工作日在factor並指定級別。

for_plot$weekday = factor(for_plot$weekday, 
     levels = c("Monday", "Thursday", "Tuesday", "Wednesday", "Friday", "Saturday", "Sunday")) 

當您用德語語言環境R您已經做的做，在德國，所以levels=c("Montag",...,"Sonntag")

要得到就行了點只是添加geom_point如下：

ggplot(for_plot, aes(weekday, series, group=month, col=month)) + 
    geom_line() + 
    geom_point() 

這給你