将颜色更改为ggplot对象的已定义调色板

我想geom_*通过使用函数将默认颜色更改为所有类型对象的特定调色板.

下面是一个geom_line()使用该功能的示例change_colours()

# load ggplot2 and tidyr library
require(ggplot2)
require(tidyr)

# create a mock data frame
df <- data.frame(cbind(var1=500*cumprod(1+rnorm(300, 0, 0.04)),
                       var2=400*cumprod(1+rnorm(300, 0, 0.04)),
                       var3=300*cumprod(1+rnorm(300, 0, 0.04))))
df$TS <- as.POSIXct(Sys.time()+seq(300))
df <- gather(df, stock, price, -TS)

# create basic base graph
p <- ggplot(df, aes(x=TS, y=price, group=stock))+geom_line(aes(colour=stock))

# custom pallet
custom_pal <- c("#002776", "#81BC00", "#00A1DE", "#72C7E7", "#3C8A2E", "#BDD203", 
                "#313131", "#335291", "#9AC933", "#33B4E5", "#8ED2EC", "#63A158", 
                "#CADB35", "#575757", "#4C689F", "#A7D04C", "#4CBDE8", "#9DD8EE", 
                "#76AD6D", "#D1DF4F", "#8C8C8C", "#7F93BA", "#C0DE80", "#80D0EE", 
                "#B8E3F3", "#9DC496", "#DEE881", "#B4B4B4", "#99A9C8", "#CDE499", 
                "#99D9F2", "#C7E9F5", "#B1D0AB", "#E5ED9A", "#DCDCDC")

# the function the change colours
change_colours <- function(ggplot_obj, pal){
  p <- ggplot_obj
  group_data <- p$data[, as.character(p$mapping$group)]
  n_groups <- length(unique(group_data))
  group_data_cols <- pal[group_data]

  p + theme_light()+ geom_line(colour=group_data_cols)
}

p
p1 <- change_colours(ggplot_obj=p, pal=custom_pal)
p1

我希望将change_colours()函数更改为所有geom_*类型层更通用

任何帮助将非常感激.

以下应该做你想要的.请注意,它仅更改映射到变量的颜色.直接传递给它的颜色geom_*不会受到影响(下面有一个例子).对于修改colour 或 fill(首先映射的)方法,请参阅本文的下半部分.

change_colours <- function(p, palette) {
  n <- nlevels(p$data[[deparse(p$mapping$group)]])
  tryCatch(as.character(palette), 
           error=function(e) stop('palette should be a vector of colours', call.=FALSE))
  if(n > length(palette)) stop('Not enough colours in palette.')
  pal <- function(n) palette[seq_len(n)]
  p + theme_light() + discrete_scale('colour', 'foo', pal)
}

# Here, df is from the OP's post
p <- ggplot(df, aes(x=TS, y=price, group=stock)) 

例子:

# NB: custom_pal is defined in the OP's post
change_colours(p + geom_line(aes(colour=stock)), custom_pal)

change_colours(p + geom_point(aes(colour=stock)), custom_pal)

并使用不同的调色板:

change_colours(p + geom_smooth(aes(colour=stock)), 
               c('firebrick', 'midnightblue', 'violet', 'seagreen'))

如上所述,这只会改变colour并fill映射到变量.例如,它对以下颜色没有影响:

change_colours(p + geom_point(colour=rep(c('tomato', 'hotpink', 'cadetblue'), each=300)), 
               custom_pal)

为响应OP的评论,你可以很容易地检测正在使用什么类型的映射(例如alpha,colour,fill).看看吧p$layers[[1]]$mapping.

如果我们假设第一层的第一个fill或colour映射是您想要更改颜色的映射,则可以执行以下操作:

change_colours <- function(p, palette, type) {
  n <- nlevels(p$data[[deparse(p$mapping$group)]])
  tryCatch(as.character(palette), 
           error=function(e) stop('palette should be a vector of colours', call.=FALSE))
  if(n > length(palette)) stop('Not enough colours in palette.')
  if(missing(type)) 
    type <- grep('colour|fill', names(p$layers[[1]]$mapping), value=TRUE)[1]
  pal <- function(n) palette[seq_len(n)]
  p + theme_light() + discrete_scale(type, 'foo', pal)
}

# Here, df is from the OP's post
p <- ggplot(df, aes(x=TS, y=price, group=stock))

例子:

更改填充而不是颜色:

change_colours(p + geom_point(aes(fill=stock), pch=21), 
               c('white', 'grey50', 'grey80'))

显示第一个映射颜色/填充美学的优先级:

change_colours(p + geom_point(aes(fill=stock, color=stock), pch=21) +
                 geom_smooth(aes(color=stock)), 
               c('black', 'grey50', 'grey80'))

change_colours(p + geom_point(aes(color=stock, fill=stock), pch=21) +
                 geom_smooth(aes(color=stock)), 
               c('black', 'grey50', 'grey80'))

用参数覆盖第一个映射美学的优先级type,例如:

change_colours(p + geom_point(aes(color=stock, fill=stock), pch=21) +
                 geom_smooth(aes(color=stock)), 
               c('black', 'grey50', 'grey80'), type='fill')