[英]Add mean values of the columns of the Heatmaply heatmap as an anotation near it
[英]Use heatmaply to create heatmap with raw values/data without transformations?
使用heatmaply::heatmaply()
創建熱圖時,會對原始數據執行一些轉換。 這在以下示例中很明顯,其中提供了一些 iris 數據集,但將鼠標懸停在熱圖上會顯示一些負值(這些值不在提供給heatmaply()
的原始數據中),並且側面的顏色欄也顯示為負價值觀也是如此。
https://i.stack.imgur.com/Mt0vGm.png
library(heatmaply)
mat <- iris[1:20, 1:4] %>% as.matrix
p <- heatmaply(mat,
dendrogram = "none",
xlab = "", ylab = "",
main = "",
scale = "column",
margins = c(60,100,40,20),
grid_color = "white",
grid_width = 0.00001,
titleX = FALSE,
hide_colorbar = FALSE,
branches_lwd = 0.1,
label_names = c("Country", "Feature:", "Value"),
fontsize_row = 5, fontsize_col = 5,
labCol = colnames(mat),
labRow = rownames(mat),
heatmap_layers = theme(axis.line=element_blank()),
colors = rev(c("000000", heat.colors(30)[1:28]))
)
p
iris[1:20, 1:4]
的不同比例:
https://i.stack.imgur.com/nuMcn.png
如何heatmaply::heatmaply()
純粹基於提供的原始值(無轉換)生成熱圖?
注意:開放使用其他包/功能/建議
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