Question

我使用plot_ly在R中制作了两张热图，但即使设置相同的zmin和zmax，也无法一致地绘制色标。都。这似乎应该相对简单，但却无法传递zcenter或zmid或类似内容，也无法指定breaks来使它们保持一致。我错过了什么或者不能在R中完成吗？

我的plot_ly代码如下，带有结果图，正如您所看到的，即使两个图中的zmin = -10000和zmax = 10000，0对应于第一张图片的白色，但对应于第二张图片为粉红色我不能为我的生活弄清楚为什么它不一致。

第一张图片：

plot_ly(z = data.matrix(tines.pre1[,-1]), type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000, colors = c("blue", "white", "red"))

第二张图片：

plot_ly(z = data.matrix(tines.pre2[,-1]), type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000, colors = c("blue", "white", "red"))

这是产生第二张图片的数据：

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和plot_ly

plot_ly(z = as.matrix(pre2[,-1]), type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000, colors = c("blue", "white", "red")

Answer 1

此行为与数据的分布有关。当我用-10000和10000交换数据集的最后两个值时，颜色会正确显示。颜色插值似乎是一个问题，这是一个使用“样条曲线”和“线性”插值的示例：

编辑：添加了使用库（d3heatmap）（不再有效维护）和库（heatmaply）的替代解决方案

第二次编辑：最终找到了一个使用自定义色标的基于标准图的热解决方案（类型热图）（请参见图pCustom和最后一个示例here）。关于到达那里的努力，我会给热图打个针。

library(plotly)

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pLinear <- plot_ly(z = pre2[,-1], type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000, colors = colorRamp(colors = c("blue", "white", "red"), interpolate = "linear"))
pLinear

pSpline <- plot_ly(z = pre2[,-1], type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000, colors = colorRamp(colors = c("blue", "white", "red"), interpolate = "spline"))
pSpline

library(d3heatmap)
pD3heatmap <- d3heatmap(pre2[,-1], scale = "column", dendrogram = "none", color = c("blue", "white", "red"))
pD3heatmap

library(heatmaply)
pHeatmaply <- heatmaply(pre2[,-1], colors = c("blue", "white", "red"), limits=c(-10000, 10000), dendrogram = "none")
pHeatmaply

library(scales)
colRamp <- colorRampPalette(colors = c("blue", "white", "red"))
vals <- unique(scales::rescale(c(pre2[,-1])))
o <- order(vals, decreasing = FALSE)
cols <- scales::col_numeric(colRamp(length(vals)), domain = NULL)(vals)
colz <- setNames(data.frame(vals[o], cols[o]), NULL)
pCustom <- plot_ly(z = pre2[,-1], colorscale = colz, type = "heatmap", transpose = TRUE, zauto = FALSE, zmin = -10000, zmax = 10000)
pCustom

plot_ly色度不一致

1 个答案: