我正在尝试使用R plotly生成Heatmap。这是可重复的例子:
test <- structure(list(s1 = c(0L, 0L, 1L, 0L, 1L, 1L), s2 = c(1L, 1L,
0L, 1L, 0L, 0L), s3 = c(0L, 0L, 0L, 0L, 0L, 0L), s4 = c(0L, 0L,
0L, 0L, 0L, 0L), s5 = c(0L, 0L, 0L, 0L, 0L, 0L), s6 = c(0L, 0L,
0L, 0L, 0L, 0L)), .Names = c("s1", "s2", "s3", "s4", "s5", "s6"
), row.names = c("5HT2 type receptor mediated signaling pathway",
"5HT3 type receptor mediated signaling pathway", "5-Hydroxytryptamine degredation",
"Alpha adrenergic receptor signaling pathway", "Alzheimer disease-amyloid secretase pathway",
"Angiogenesis"), class = "data.frame")
用于生成热图的代码:
f1 <- list(
family = "Arial, sans-serif",
size = 5,
color = "lightgrey")
f2 <- list(
family = "Old Standard TT, serif",
size = 10,
color = "black")
a <- list(
title = "",
titlefont = f1,
showticklabels = TRUE,
tickangle = 45,
tickfont = f2,
exponentformat = "E")
plot_ly(z = as.matrix(test),
zmin=0,
zmax=1,
x = colnames(test),
xgap = 2,
y = rownames(test),
ygap =2,
type = "heatmap",
colorbar=list(ypad = 30, tickmode="array", tickvals = c(0,1), color = 2, autocolorscale = F )) %>%
layout(xaxis = a,
margin = list(l =500, r = 10, b = 200, t = 10))
如您所见,生成的图表具有连续的比例。我找到了StackOverflow question,作者提出了类似的问题。我试图复制答案提供的解决方案,但我无法深究它。你能告诉我如何将比例设置为离散而不是连续的颜色吗?
由于
EDIT1:添加了“a”变量定义
答案 0 :(得分:5)
您需要按如下方式定义色标:
colorScale <- data.frame(z=c(0,0.5,0.5,1),col=c("#440053","#440053","#FDE624","#FDE624"))
colorScale$col <- as.character(colorScale$col)
plot_ly(z = as.matrix(test),
x = colnames(test),
xgap = 2,
y = rownames(test),
ygap =2,
type = "heatmap",
colorscale=colorScale ,
colorbar=list(ypad = 30, tickvals=c(0.25,0.75), ticktext=c(0,1))) %>%
layout(xaxis = a,
margin = list(l =500, r = 10, b = 200, t = 10))
答案 1 :(得分:1)
宏桑德里斯的答案是完美的,就像一个魅力。
我只想补充一点,如果您需要两个以上的类,则可以使用以下示例:
2个课程(请参阅Marcos答案)
colorScale <- data.frame(z=c(0,0.5,0.5,1),col=c("#440053","#440053","#FDE624","#FDE624"))
3个课程
colorScale <- data.frame(z=c(0,0.33,0.33,0.66,0.66,1),col=c("#440053","#440053","#FDE624","#FDE624","#DDE431","#DDE431"))
,依此类推。确保传递到数据帧中的向量始终在0到1的范围内。