基於定義顏色代碼的顏色ggplot點

Question

是否可以使用ggplot根據數據框中包含的預定義標準顏色代碼對顏色點進行着色？

下面是一些示例數據和代碼，以幫助闡明我的問題。

tick <- c("GE","APPL","GM","BTU","WMT","JPM","LUV") 
price <- c(22,900,20,22,80,31,35) 
volume<- c(300,500,100,107,400,300,325) 
df1 <- data.frame(ticker=tick, price=price, volume=volume) 

# Here is a sample chart without colors: 
p <- ggplot(df1, aes(volume, price))+ 
    geom_point(); 
p 

# I could use astetics and color_brewer to color points by ticker. 
# But since I want to have my colors uniform across multiple plots 
# outside of this script, I have specified the colors to always 
# be used for certian tickers 

## color speciciations 
## http://wiki.stdout.org/rcookbook/Graphs/Colors%20(ggplot2)/#rcolorbrewer-palette-chart 

tick<-c("GE","APPL","GM","BTU","WMT") 
ccodes<-c("#3399FF", "#FF000", "#CC00FF", "#993300", "#66CC00") 
cnames<-c("blue", "red", "purple", "brown", "green") 
df2=data.frame(ticker=tick, color.codes=ccodes, color.names=cnames) 

## merge color specifcations into data 
df3 <-merge(df1,df2, by=("ticker"), all.x=TRUE, all.y=TRUE) 

# since I wont be able to specify colors for all the data will be 
# be plotting I need to speficy a default color, in this case black. 
# this is where I start to run into trouble. For some reason the 
# following line dosent work as i would have intended as it dosent 
# correctly bring back the defined colors. 
df3$color.code.new <- ifelse(is.na(df3$color.codes), "#000000", df3$color.codes) 

# Once that is corrected, I would like to use the new color codes 
# in df3 as the colors of the points. 
p <- ggplot(df3, aes(volume, price))+ 
    geom_point(); 
p 

任何指導將不勝感激。

##################################################################### 
##### Edit below - to test 
##################################################################### 
ccodes<-c("#990000", "#990000", "#990000", "#990000", "#990000") 

Answer 1

你聲稱該行沒有工作：

df3$color.code.new <- ifelse(is.na(df3$color.codes), "#000000", df3$color.codes) 

作品對我來說，雖然我覺得你在你的十六進制顏色之一錯過了一個數字。一旦你的理順，你只是想用scale_colour_manual像這樣的東西：

tick <- c("GE","APPL","GM","BTU","WMT","JPM","LUV") 
price <- c(22,900,20,22,80,31,35) 
volume<- c(300,500,100,107,400,300,325) 
df1 <- data.frame(ticker=tick, price=price, volume=volume) 

tick<-c("GE","APPL","GM","BTU","WMT") 
ccodes<-c("#3399FF", "#FF0000", "#CC00FF", "#993300", "#66CC00") 
cnames<-c("blue", "red", "purple", "brown", "green") 
df2=data.frame(ticker=tick, color.codes=ccodes, color.names=cnames) 

## merge color specifcations into data 
df3 <-merge(df1,df2, by=("ticker"), all.x=TRUE, all.y=TRUE) 
df3$color.code.new <- ifelse(is.na(df3$color.codes), "#000000", df3$color.codes) 

p <- ggplot(df3, aes(volume, price,colour = ticker))+ 
     geom_point() 
p + scale_colour_manual(breaks = df3$ticker,values = df3$color.code.new)