splits <- FetchData(object = object, vars = split.by)[cells, split.by] if(split.colors) { if(length(x = unique(x = splits)) > length(x = cols)) { stop(paste0("Need to specify at least ", length(x = unique(x = splits)), " colors using the cols parameter")) } cols <...
那么可以这样改一下,就可以显示图注。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 pbmc$cell.type_splitby_group=paste0(pbmc$cell.type,"_",pbmc$group)DotPlot(pbmc,features=c("CD3E",'C1QA','GZMK'),group.by="cell.type_splitby_group",cols=c("red","green3"),dot.scale=15...
Not entirely sure if this is a bug or not, but: whenever I run split.by and group.by side-by-side, there is no colouring for average expression. I tried using the cols argument, but am seemingly only able to use the palettes from RColorBrewer::brewer.pal.info and not 'a pair of ...
y=x%>%group_by(Cluster)%>%top_n(-10,pvalue)y=x[x$Description%in%y$Description,] 在样品名中包含差异基因的数目 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # 这个不解释了,前面绘图教程中提到过 y$Sample<-paste0(y$Cluster,"(",unlist(lapply(strsplit(y$GeneRatio,'/'),function(x)...
("white", "red"), #replaced with scale color function col.min = -2.5, col.max = 2.5, dot.min = 0, dot.scale = 3, idents = NULL, group.by = NULL, split.by = NULL, cluster.idents = F, scale = TRUE, scale.by = "radius", scale.min = NA, scale.max = NA) + scale_...
Next, I looked at the first bar, trying to figure out its data encoding scheme. The bold, blue vertical line in the middle of the bar caused me to think each bar is split into left and right sections. The right section is shaded and labeled with the performance gap numbers so I focus...
groupNum -- the x-position of this data group. Defaut value: 1 thres -- the maximum ratio of every two data's split to mean value which can stay in the same column (x-position). Defaut value: 0.1 moveStep -- the distance of each column. Defaut value: 0.05 인용 양식 ...
DotPlot(object = comb6, features = c("Tcf7l2", "Lef1", "Pygo2", "Tle1", "Ctnnb1", "Axin2", "Gsk3b"), group.by = "mycells", split.by = "ages", cols = c("red", "blue", "green", "orange", "purple")) Has anyone worked out a solution to the problem? I would ...
groupNum -- the x-position of this data group. Defaut value: 1 thres -- the maximum ratio of every two data's split to mean value which can stay in the same column (x-position). Defaut value: 0.1 moveStep -- the distance of each column. Defaut value: 0.05 ...
group.by = NULL,#制定分组变量,例如“Group”、“celltype” split.by = NULL,#根据一个元数据变量来拆分点图,例如 "condition" 或 "treatment",可以将同一细胞类型在不同条件下的表达情况分开展示。 cluster.idents = FALSE,#是否根据细胞的标识符(idents)进行聚类。默认值为 FALSE ...