ggplot2 specifica manualmente colore e tipo di linea - legenda duplicata

Question

Sto creando una trama con più tipi di linea, colori e regioni riempite. Il codice seguente produce due legende (una mostra i tipi di linea, l'altra mostra i colori delle linee) - e ho bisogno li si combinano in un'unica legenda che mostra sia il tipo di linea che il colore. [V'è una terza leggenda che mostra gli oggetti 'riempimento', ma va bene]

ho seguito la metodologia qui dato: Controlling line color and line type in ggplot legend per cercare di ottenere un unico leggenda - ma si è conclusa con questo comportamento doppio leggenda - che cosa ho sbagliato?

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')) 

... siccome io sono un nuovo utente, non posso postare un'immagine ...

Answer 1

Come detto nel commento di @joran È necessario creare una variabile di stato e associarlo a color e linetype quindi ggplot fa il resto per te. Per esempio, qui la trama è molto semplice dato che metti i dati nella giusta forma.

Per manipolare i dati che ti servono ti consiglio di imparare plyr e 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))