Add Moving average plot to time series plot in R

淺唱寂寞╮ 提交于 2019-11-27 18:35:26

One solution is to use rollmean() function from library zoo to calculate moving average.

There is some confusion with data frame names in your question (p31 and p29), so I will use p 29.

p29$dt=strptime(p29$dt, "%Y-%m-%d %H:%M:%S")

library(zoo)
#Make zoo object of data
temp.zoo<-zoo(p29$ambtemp,p29$dt)

#Calculate moving average with window 3 and make first and last value as NA (to ensure identical length of vectors)
m.av<-rollmean(temp.zoo, 3,fill = list(NA, NULL, NA))

#Add calculated moving averages to existing data frame
p29$amb.av=coredata(m.av)

#Add additional line for moving average in red
ggplot(p29, aes(dt, ambtemp)) + geom_line() + 
  geom_line(aes(dt,amb.av),color="red") + 
  scale_x_datetime(breaks = date_breaks("5 min"),labels=date_format("%H:%M")) +
  xlab("Time 00.00 ~ 24:00 (2007-09-29)") + ylab("Tempreture")+
  ggtitle("Node 29")

If line colors should appear in legend, then aes() in ggplot() and geom_line() has to be modified and scale_colour_manual() should be added.

  ggplot(p29, aes(dt)) + geom_line(aes(y=ambtemp,colour="real")) +
   geom_line(aes(y=amb.av,colour="moving"))+
   scale_x_datetime(breaks = date_breaks("5 min"),labels=date_format("%H:%M")) + 
   xlab("Time 00.00 ~ 24:00 (2007-09-29)") + ylab("Tempreture")+
   scale_colour_manual("Lines", values=c("real"="black", "moving"="red")) +    
   ggtitle("Node 29")
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