我有以下向量:
x <- c(1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 5, 5, 5, 5, 5, 5)
我想要做的是使用colorRampPalette
为每个数字分配颜色。
但为什么这个命令给出的输出比我预期的要多:
library(RColorBrewer)
mycolorfunction <- colorRampPalette(brewer.pal(9,"Set1"))
unlist(lapply(as.list(x),mycolorfunction))
它给出了:
[1] "#E41A1C" "#E41A1C" "#E41A1C" "#E41A1C" "#999999" "#E41A1C" "#999999" "#E41A1C" "#999999" "#E41A1C" "#999999"
[12] "#E41A1C" "#999999" "#E41A1C" "#999999" "#E41A1C" "#999999" "#E41A1C" "#FF7F00" "#999999" "#E41A1C" "#FF7F00"
[23] "#999999" "#E41A1C" "#FF7F00" "#999999" "#E41A1C" "#7E6E85" "#E1C62F" "#999999" "#E41A1C" "#4DAF4A" "#FF7F00"
[34] "#A65628" "#999999" "#E41A1C" "#4DAF4A" "#FF7F00" "#A65628" "#999999" "#E41A1C" "#4DAF4A" "#FF7F00" "#A65628"
[45] "#999999" "#E41A1C" "#4DAF4A" "#FF7F00" "#A65628" "#999999" "#E41A1C" "#4DAF4A" "#FF7F00" "#A65628" "#999999"
[56] "#E41A1C" "#4DAF4A" "#FF7F00" "#A65628" "#999999"
我希望它生成大小为 20 且只有 5 种颜色的十六进制向量。 正确的做法是什么?
最终,我想使用最终向量作为 heatmap.2
中的 RowSideColors
参数。
最佳答案
直接使用函数mycolorfunction
和x
作为索引向量:
x <- c(1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 5, 5, 5, 5, 5, 5)
library(RColorBrewer)
mycolorfunction <- colorRampPalette(brewer.pal(9,"Set1"))
mycolorfunction(max(x))[x]
# [1] "#E41A1C" "#E41A1C" "#E41A1C" "#4DAF4A" "#4DAF4A" "#4DAF4A"
# [7] "#4DAF4A" "#4DAF4A" "#4DAF4A" "#4DAF4A" "#FF7F00" "#FF7F00"
# [13] "#FF7F00" "#A65628" "#999999" "#999999" "#999999" "#999999"
# [19] "#999999" "#999999"
关于r - 将 lapply 与 colorRampPalette 结合使用,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/29817031/