我有一个包含12个变量的数据框,我希望使用3行的单列将12个变量分解为3个单独的图。
我的数据框如下:
> head(wideRawDF)
Period.Start.Time DO0182U09A3 DO0182U09B3 DO0182U09C3 DO0182U21A1 DO0182U21A2 DO0182U21A3 DO0182U21B1 DO0182U21B2 DO0182U21B3
1 2017-01-20 16:30:00 -101.50 -103.37 -103.86 -104.78 -104.95 -105.33 -102.50 -99.43 -104.05
2 2017-01-20 16:45:00 -101.32 -102.75 -104.22 -104.51 -103.94 -105.29 -102.82 -101.99 -103.94
3 2017-01-20 17:00:00 -101.45 -103.30 -103.93 -104.70 -104.82 -105.13 -103.72 -103.95 -104.25
4 2017-01-20 17:15:00 -100.91 -95.92 -99.22 -103.83 -104.72 -105.19 -103.57 -101.36 -104.09
5 2017-01-20 17:30:00 -100.91 -103.04 -104.09 -102.15 -104.91 -105.18 -103.88 -104.09 -103.96
6 2017-01-20 17:45:00 -100.97 -103.67 -104.12 -105.07 -104.23 -97.48 -103.92 -103.89 -104.01
DO0182U21C1 DO0182U21C2 DO0182U21C3
1 -104.51 -104.42 -105.17
2 -104.74 -104.65 -105.25
3 -105.02 -105.04 -105.32
4 -103.90 -102.95 -105.16
5 -104.75 -105.07 -105.23
6 -105.08 -105.14 -104.89
我已设法在三个单独的图中绘制变量DO0182U09A3,DO0182U09B3和DO0182U09C3。我想添加" U21A1"," U21A2"和" U21A3"变量到" U09A3"情节,类似于" U21B1"," U21B2"和" U21B3"到" U09B3" " C"图。
我是R的一个完整的新手并且已经从这里一起攻击了几行,如何在一个窗口中创建多个图,但我不确定如何在多个窗口中绘制多个变量,任何人都可以挖掘出来吗?
如果我也可以为所有" U09"线条为单色,例如红色,U21A1,U21B1和U21C1为绿色,U21A2,B2和C2为蓝色,U21A3,B3和C3为紫色,非常棒。
#3 plots representing each of the sectors and technologies for DO0182
op <- par(no.readonly = TRUE)
par(oma=c(3,3,0,0),mar=c(3,3,2,2),mfrow =c(3,1))
plot(wideRawDF_NA$Period.Start.Time,wideRawDF$DO0182U09A3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-107, -80),title(main = "Test"), sub = "subtitle")
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A3 , col = "mediumpurple4")
plot(wideRawDF_NA$Period.Start.Time,wideRawDF$DO0182U09B3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-107, -70))
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B3 , col = "mediumpurple4")
plot(wideRawDF_NA$Period.Start.Time,wideRawDF$DO0182U09C3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-107, -80))
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C3 , col = "mediumpurple4")
cols <- rainbow(12)
mtext(text="Time",side=1,line=0,outer=TRUE)
mtext(text="Received Total Wideband Power (dBm)",side=2,line=0,outer=TRUE)
legend(x=1,y=1.7,legend=wideRawDF_NA[,2:13],col=unique(cols),pch=16,bty="n",xpd=NA)
par(old.par)
答案 0 :(得分:1)
你快到了。只需使用lines()
将线条添加到地块中并选择颜色即可。请参阅?行和colors()
。此外,您可能希望使用main()
为各个图添加主标题。怎么样:
par(oma=c(3,3,0,0),mar=c(3,3,2,2),mfrow =c(3,1))
plot(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U09A3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-105, -95))
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21A3 , col = "mediumpurple4")
plot(wideRawDF_NA$Period.Start.Time,wideRawDF$DO0182U09B3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-105, -95))
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21B3 , col = "mediumpurple4")
plot(wideRawDF_NA$Period.Start.Time,wideRawDF$DO0182U09C3,ylab="",xlab="",type="l",col = "red", lwd = 1, ylim = c(-105, -95))
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C1 , col = 3)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C2 , col = 4)
lines(wideRawDF_NA$Period.Start.Time,wideRawDF_NA$DO0182U21C3 , col = "mediumpurple4")