pheatmap(test, treeheight_row = 30, treeheight_col = 50) # 设定cell 的大小 pheatmap(test, cellwidth = 15, cellheight = 12, fontsize = 10) 设定text 热图中展示数值 # display_numbers = TRUE参数设定在每个热图格子中显示相应的数值,#number_color参数设置数值字体的颜色 pheatmap(test, display_nu...
pheatmap(df, scale = "row", cellwidth = 15, cellheight = 15) 如果我们想在单元格中显示对于的数值,可以设置display_numbers = TRUE pheatmap(df, scale = "row", display_numbers = TRUE) 对显示的数值进行格式化 pheatmap( df, scale = "row", display_numbers = TRUE, # 显示为科学计数法number_...
display_numbers=data_mark, fontsize_number=18, filename="mark.pdf" ) 图5 5. 根据tree将热图分割成2行3列 cutree_rows=num:分割行 cutree_cols=num:分割列 pheatmap(data_norm, cellheight=20, cellwidth=25, color=colorRampPalette(colors = c("purple","white","green"))(10), display_numbers...
3. 在cell中添加丰度 pheatmap(data_norm, display_numbers=TRUE, cellheight=15, cellwidth=20, color=colorRampPalette(colors = c("purple","white","green"))(10) ) 图4 4. 在cell中添加mark display_numbers=matrix:使用自定义矩阵数据 fontsize_number=18:mark大小 filename="name.png/pdf":保存 d...
pheatmap(exp,border_color="white",cellwidth=9,cellheight=9) 格子内的文本注释 pheatmap(exp,display_numbers=TRUE,number_color="blue",number_format="%.1e")#default"%.2f" pheatmap(exp,display_numbers=matrix(ifelse(exp>5,"*",""),nrow(exp))) ...
pheatmap默认会对输入矩阵数据的行和列同时进行聚类,但是也可以通过布尔型参数cluster_rows和cluster_cols设置是否对行或列进行聚类,具体看分析需求。利用display_numbers参数可以在热图中的每个cell中填入想要的信息,例如相对丰度信息。利用cutree_rows和cutree_cols参数可以根据聚类产生的tree信息对热图进行分割。利用annotatio...
display_numbers=TRUE#在小方格中显示数字 1、无参数(结果如右图1) pheatmap(temp) 2、设置col、row方向的树高(结果如右图2) pheatmap(temp,treeheight_row=120,treeheight_col=20)) 3、单一方向聚类(右图1) pheatmap(temp,treeheight_row=120,treeheight_col=20,cluster_cols=FALSE) ...
pheatmap(test, display_numbers = TRUE, number_format = "%.2f", number_color="purple") #"%.2f"表示保留小数点后两位 # 在热图格子里展示文本 pheatmap(test, display_numbers = TRUE) pheatmap(test, display_numbers = TRUE, number_format = "\%.1e") ...
pheatmap(data_r, display_numbers=data_mark, cellwidth=20, cellheight=20, fontsize_number=18, filename=paste(route,"Correlation_result.pdf", sep="/")) pheatmap(data_r, display_numbers=data_mark, cellwidth=20, cellheight=20, fontsize_number=18, filename=paste(route,"Correlation_result.png...
pheatmap(test, display_numbers = TRUE, number_format = "%.1e") 1. #设定条件式展示 pheatmap(test, display_numbers = matrix(ifelse(test > 5, "*", ""), nrow(test))) 1. 设置legend 设定legend展示的值 #legend_breaks参数设定图例显示范围,legend_labels参数添加图例标签 ...