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複数の線種、色、および塗りつぶし領域を含むプロットを作成しています。以下のコードは 2 つの凡例 (1 つは線種を示し、もう 1 つは線の色を示します) を生成します。線色。[「塗りつぶし」オブジェクトを示す 3 番目の凡例がありますが、それで問題ありません]

私はここで与えられた方法論に従いました: Controlling line color and line type in ggplot legend to get to get a single legend - しかし、この二重の凡例の動作になってしまいました - 私は何を間違えましたか?

library(ggplot2)
library(scales)
data = structure(list(Dates = structure(c(1351713600, 1351717200, 1351720800, 
  1351724400, 1351728000, 1351731600), class = c("POSIXct", "POSIXt"
  ), tzone = "MST"), CumHVAC_Def_Stoch_Min = c(146.4006, 146.6673, 
  146.9336, 147.1996, 147.4648, 147.5964), CumHVAC_Def_Stoch_1st = c(188.0087, 
  188.2753, 188.5416, 188.8077, 189.0729, 189.2045), 
  CumHVAC_Def_Stoch_Mean = c(204.7234, 204.9901, 205.2564, 205.5225, 205.7876, 205.9193), 
  CumHVAC_Def_Stoch_3rd = c(228.8813, 229.1476, 229.4135, 229.6793, 229.9442, 230.0757), 
  CumHVAC_Def_Stoch_Max = c(295.145, 295.4117, 295.6779, 295.944, 296.2092, 296.3408), 
  CumHVAC_Opt_Stoch_Min = c(112.4095, 112.6761, 112.9424, 113.2085, 113.4737, 113.6053), 
  CumHVAC_Opt_Stoch_1st = c(134.8893,135.156, 135.4223, 135.6883, 135.9535, 136.0851), 
  CumHVAC_Opt_Stoch_Mean = c(156.8854, 157.1521, 157.4184, 157.6845, 157.9496, 158.0813), 
  CumHVAC_Opt_Stoch_3rd = c(168.7301, 168.9971, 169.2636, 169.5299, 169.7953, 169.927), 
  CumHVAC_Opt_Stoch_Max = c(241.2483, 241.5151, 241.7814, 242.0476, 242.3128, 242.4444), 
  CumHVAC_Def_Dtrmn = c(188.7523,  189.0189, 189.2852, 189.5513, 189.8165, 189.9481), 

  CumHVAC_Opt_Dtrmn = c(86.8116,  87.0782, 87.3445, 87.6105, 87.8757, 88.0073),
  CS_Opt_Stoch = c(0,   0, 0, 0, 0, 0), CS_Opt_Dtrmn = c(0, 0, 0, 0, 0, 0), 
  CS_Default = c(0,   0, 0, 0, 0, 0)), .Names = c("Dates", "CumHVAC_Def_Stoch_Min", 
  "CumHVAC_Def_Stoch_1st", "CumHVAC_Def_Stoch_Mean", "CumHVAC_Def_Stoch_3rd",  
  "CumHVAC_Def_Stoch_Max", "CumHVAC_Opt_Stoch_Min", 
  "CumHVAC_Opt_Stoch_1st","CumHVAC_Opt_Stoch_Mean", "CumHVAC_Opt_Stoch_3rd", 
  "CumHVAC_Opt_Stoch_Max", "CumHVAC_Def_Dtrmn", "CumHVAC_Opt_Dtrmn", "CS_Opt_Stoch", 
  "CS_Opt_Dtrmn",    "CS_Default"), row.names = 691:696, class = "data.frame")

stochdefcolor = 'red'
stochoptcolor = 'green'
dtrmndefcolor = 'darkred'
dtrmnoptcolor = 'darkgreen'

eb09 <- aes(x = Dates, ymax = CumHVAC_Def_Stoch_3rd, ymin = CumHVAC_Def_Stoch_1st, fill="StochDef")
eb10 <- aes(x = Dates, ymax = CumHVAC_Opt_Stoch_3rd, ymin = CumHVAC_Opt_Stoch_1st, fill="StochOpt")
State = c('a','b','c','d','e','f','g','h');

ln1 <- aes(x=Dates,y=CumHVAC_Def_Stoch_Mean, color=State[1],linetype=State[1])
ln2 <- aes(x=Dates,y=CumHVAC_Opt_Stoch_Mean, color=State[2],linetype=State[2])
ln3 <- aes(x=Dates,y=CumHVAC_Def_Dtrmn,color=State[3],linetype=State[3])
ln4 <- aes(x=Dates,y=CumHVAC_Opt_Dtrmn,color=State[4],linetype=State[4])

ln5 <- aes(x=Dates,y=CumHVAC_Def_Stoch_Max,color=State[5],linetype=State[5])#,linetype = 2]
ln6 <- aes(x=Dates,y=CumHVAC_Def_Stoch_Min,color=State[6],linetype=State[6])#,linetype = 3)
ln7 <- aes(x=Dates,y=CumHVAC_Opt_Stoch_Max,color=State[7],linetype=State[7])#,linetype = 2)
ln8 <- aes(x=Dates,y=CumHVAC_Opt_Stoch_Min,color=State[8],linetype=State[8])#,linetype = 3)

quartz()
ggplot(data) + 
  geom_ribbon(eb09, alpha=0.4) +
  geom_ribbon(eb10, alpha=0.4) +
  geom_line(ln1,size=1) + 
  geom_line(ln2,size=1) + 
  geom_line(ln3,size=1) +
  geom_line(ln4,size=1) +
  geom_line(ln5,size=.7) +
  geom_line(ln6,size=.7) +
  geom_line(ln7,size=.7) +
  geom_line(ln8,size=.7) +
  xlab("X-lab") +
  ylab("Y-Lab") +
  opts(title = expression('Dummy Title'),
       panel.background = theme_rect(fill = "transparent"),
       panel.grid.minor = theme_blank(), 
       panel.grid.major = theme_blank(),
       plot.background = theme_rect(fill = "transparent")) + 
  scale_linetype_manual(values=c(1,1,1,1,2,3,2,3)) +      
  scale_colour_manual(name=c("Lines"),
                      values=c(stochdefcolor,
                               stochoptcolor,
                               dtrmndefcolor,
                               dtrmnoptcolor,
                               stochdefcolor,
                               stochdefcolor,
                               stochoptcolor,
                               stochoptcolor)) + 
  scale_fill_manual(name='1st-3rd Quartiles',
                    breaks=c('StochDef','StochOpt'),
                    values=c(stochdefcolor,stochoptcolor),
                    labels=c('Stoch DEF','Stoch OPT'))

...新規ユーザーなので画像を投稿できません...

4

1 に答える 1

13

@joran のコメントで述べたように、変数の状態を作成してバインドしcolor、linetypeあとは ggplot で処理する必要があります。たとえば、ここでは、データを正しい形状に配置したため、プロットは非常に単純です。

必要なデータを操作するには、学ぶことをお勧めしplyrますreshape2。

## I use your data 
## I melt my data 
library(reshape2)
measure.vars  <- colnames(dat)[c(1:12)][-c(1,3,5,10)]
mydata.melted <- melt(mydata, 
                      measure.vars= measure.vars, ## I don't use all the variables only
                                                                      States ones
                      id.vars='Dates')


states.list <- list('a','b','c','d','e','f','g','h')
names(states.list) <- measure.vars
mydata.melted$State <- NA
library(plyr)
mydata.melted <- ddply(mydata.melted,
                       .(variable),transform,
                       State=states.list[[unique(variable)]])
## I plot using the rights aes    

stochdefcolor = 'red'
stochoptcolor = 'green'
dtrmndefcolor = 'darkred'
dtrmnoptcolor = 'darkgreen'
library(ggplot2)
ggplot(subset(mydata.melted)) + 
  geom_line(aes(x=Dates,y=value,
                color=State,linetype=State))+
  scale_linetype_manual(values=c(1,1,1,1,2,3,2,3)) +  
  scale_size_manual(values =rep(c(1,0.7),each=4))+
  scale_color_manual(values=c(stochdefcolor,stochoptcolor,
                               dtrmndefcolor, dtrmnoptcolor,
                               stochdefcolor,stochdefcolor,
                               stochoptcolor,stochoptcolor))

ここに画像の説明を入力

于 2012-12-30T11:45:16.413 に答える