用R语言如何绘制有图标的IBS矩阵热图
时间: 2023-07-27 17:11:29 浏览: 198
R语言绘图示例
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要绘制带图标的IBS矩阵热图,可以使用`ComplexHeatmap`包和`ggplot2`包。以下是一个可能的工作流程:
1. 从`ComplexHeatmap`包中获取样例数据
```
library(ComplexHeatmap)
data(ibsmatrix)
```
2. 将数据格式转换为适合绘制热图的格式。这里我们将使用`reshape2`包来进行数据格式转换
```
library(reshape2)
ibsmatrix_long <- melt(ibsmatrix, varnames = c("Sample1", "Sample2"))
```
3. 添加图标到数据中。假设我们有一些图标文件存储在`icon_path`目录下,文件名为`Sample1.png`和`Sample2.png`,我们可以将这些图标添加到数据中。
```
ibsmatrix_long$Sample1_icon <- paste0("<img src='", icon_path, "/", ibsmatrix_long$Sample1, ".png' height='20' width='20'/>")
ibsmatrix_long$Sample2_icon <- paste0("<img src='", icon_path, "/", ibsmatrix_long$Sample2, ".png' height='20' width='20'/>")
```
4. 绘制热图。这里我们将使用`ComplexHeatmap`包绘制热图,并使用`ggplot2`包调整热图布局。
```
library(grid)
library(ggplot2)
heatmap_col <- colorRamp2(c(0, 0.5, 1), c("blue", "white", "red"))(100)
ht1 <- Heatmap(
t(as.matrix(ibsmatrix_long$value)),
name = "IBS",
col = heatmap_col,
cluster_rows = FALSE,
cluster_columns = FALSE,
show_row_names = FALSE,
rect_gp = gpar(col = "grey50", lwd = 0.2),
column_title = "Samples",
column_title_gp = gpar(fontsize = 14),
row_title = "Samples",
row_title_gp = gpar(fontsize = 14),
cell_fun = function(j, i, x, y, width, height, fill) {
if (i != j) {
grid.text(paste(round(x, 2)), x = width / 2, y = height / 2, gp = gpar(fontsize = 10))
grid.draw(ggplotGrob(ggplot(data.frame(x = 1, y = 1), aes(x, y)) +
annotation_custom(grob = grid::textGrob(ibsmatrix_long$Sample1_icon[i], gp = gpar(fontsize = 10)),
xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) +
annotation_custom(grob = grid::textGrob(ibsmatrix_long$Sample2_icon[j], gp = gpar(fontsize = 10)),
xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) +
theme_void(), height = unit(0.2, "npc"), width = unit(0.2, "npc")))
}
}
)
draw(ht1, heatmap_legend_side = "right", heatmap_legend_param = list(title_gp = gpar(fontsize = 12)))
```
这个代码片段将绘制一个带有图标的IBS矩阵热图。你需要将`icon_path`设置为你自己的图标文件所在的路径,然后运行代码即可。
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