说明(1) 比例尺 使用函数及所在包:annotation_scale {ggspatial}; (2) 指南针 使用函数及所在包:annotation_north_arrow {ggspatial} 形式: north_arrow_orienteering; north_arrow_fancy_orienteering; north_a…
breaks=seq(70, 140, 10)) + scale_y_continuous(expand = c(0, 0), limits = c(17,55.5), breaks = seq(10, 60, 10)) + annotation_scale(location = "bl") + annotation_north_arrow(location = "tl", style = north_arrow_nautical( fill = c("grey40", "white"), line_col = "grey...
rownames(annotation_col) =colnames(TEST) #画图 pheatmap(TEST, annotation_col = annotation_col) 设定gap pheatmap(TEST,scale ="row", annotation_col = annotation_col,gaps_row =25,cluster_rows =FALSE) pheatmap(TEST,scale ="row", annotation_col = annotation_col,gaps_col =10,cluster_cols =FALS...
为了看一个物种在不同样本中的丰度分布,需要消除样本间差异,即对丰度表进行标准化处理。 pheatmap(head(data,n=30),scale='row') 注:scale设置标准化参数,取值为“row”“column”或“none” pheatmap(head(data,n=30),scale='row',annotation_col=annotation_col) 注:annotation_col设置样本分类 其他重要参数...
两幅图的 x 轴不一致，使用scale_x_log10()修改结果。使用annotation_logticks(sides = "b")添加 ...
annotation_scale(location="br")+# 设置距离刻度尺 annotation_north_arrow(location="tl",style = north_arrow_nautical( fill=c("grey40","white"),line_col="grey20" ))+ labs(x=NULL,y=NULL)+ geom_sf(data=shp2,fill="#AFB3B3",size=0.4,color="gray71")+#添加地图边界 ...
choose_matrix=t(scale(t(choose_matrix)))pheatmap(choose_matrix)下面是新代码 library(pheatmap)#加载R包 annotation_col = data.frame(group_list)rownames(annotation_col)=colnames(exprSet)colnames(annotation_col)[1]<-"group"#根据 group list 添加列注释信息，让 case 跟 control 组跟我们前面的样本...
“Gaussian” which is suitable when input expression values are continuous, such as microarray fluorescent units in logarithmic scale, RNA-seq log-CPMs, log-RPKMs or log-TPMs. When input expression values are integer counts, such as those derived from RNA-seq experiments, then this argument ...
annotation_names_row 布尔值表示是否在图例上显示注释名称 默认:TRUE annotation_names_col同理 drop_levels 是否在图例显示unused levels 默认:TRUE shown_rownames 是否显示行名 默认:T shown_colnames 是否显示列名 默认:T main 图表主标题 默认:NA
rows = F, scale = "none",treeheight_col= 0, treeheight_row = 0, annotation_legend = ...