ComplexHeatmap是一个很好用的绘制热图的R包。这篇文章紧张先容Complexheatmap::pheatmap画图字体设置。
在原函数中没有设置字体的参数。检察有关font的参数比力表如下：
表头为Arguments in pheatmap::pheatmap()和Identical settings/arguments in ComplexHeatmap::Heatmap()
实在我们通过上述比力表可以看出Complexheatmap::pheatmap中一些参数是调用Complexheatmap::Heatmap中的一些参数来调解画图参数的。
起首，我想到了测试了下直接传入Heatmap的参数到pheatmap，但是此中一些参数假如重新设置会体现辩说。
Error in (function (matrix, col, name, na_col = "grey", color_space = "LAB", :
正式参数"column_names_gp"有多个与之相对应的现实参数
清除了这种方式之外，我测试时发现另一种可行的方法！起首将画图函数生存到一个变量中，测试代码如下：
library("ComplexHeatmap")test = matrix(rnorm(200), 20, 10)test[1:10, seq(1, 10, 2)] = test[1:10, seq(1, 10, 2)] + 3test[11:20, seq(2, 10, 2)] = test[11:20, seq(2, 10, 2)] + 2test[15:20, seq(2, 10, 2)] = test[15:20, seq(2, 10, 2)] + 4colnames(test) = paste("Test", 1:10, sep = "")rownames(test) = paste("Gene", 1:20, sep = "")annotation_col = data.frame( CellType = factor(rep(c("CT1", "CT2"), 5)), Time = 1:5)rownames(annotation_col) = paste("Test", 1:10, sep = "")annotation_row = data.frame( GeneClass = factor(rep(c(" ath1", "ath2", "ath3"), c(10, 4, 6))))rownames(annotation_row) = paste("Gene", 1:20, sep = "")# Specify colorsann_colors = list( Time = c("white", "firebrick"), CellType = c(CT1 = "#1B9E77", CT2 = "#D95F02"), GeneClass = c(Path1 = "#7570B3", Path2 = "#E7298A", Path3 = "#66A61E"))p <- pheatmap(test, annotation_col = annotation_col, annotation_row = annotation_row, annotation_colors = ann_colors, color = colorRampPalette(c("#0000FF", "#FFFCC8", "#FF0000"))(100), border_color = NA, cellwidth =NA, cellheight = NA, cluster_rows = TRUE, cluster_cols = TRUE, legend = TRUE, main = "jsd diversity distance", fontsize = 10, fontsize_row = 8, fontsize_col = 10, display_numbers = FALSE, number_format = "%.1f", number_color="Black", fontsize_number=4, # display_numbers = matrix(ifelse(test > 5, "*", ""), nrow(test)) angle_col = "90", # options (0, 45, 90, 270 and 315) # show_rownames = TRUE, show_colnames = TRUE annotation_legend = TRUE)检察p可以看出是一个S4对象，我们可以找下此中可以设置字体的参数，可以根据参数的名称来找
这里我指定参数的代码如下 |
