散點圖html
柱狀圖git
折線圖github
小提琴圖ide
點圖ui
進化樹orm
圈圖htm
Alluvial圖blog
Sankey Diagramip
plot(getSankey(colData(muraro)$cell_type1, muraro_to_seger$scmap_cluster_labs[,1], plot_height=400))
library(RColorBrewer) library(scmap) print(load("-/project/singleCell/mouse/Integration/comp.df.Rdata")) comp.df$New_cluster <- factor(comp.df$New_cluster, levels = 1:13) unique(comp.df$New_cluster) plot(getSankey(comp.df$Old_cluster, comp.df$New_cluster, plot_width=400, plot_height=600, colors=brewer.pal(12,"Set1")))
Marginal plotelement
library(ggExtra) # [density, histogram, boxplot, violin]. ggMarginal(pcag, data=pca_HSCR2, groupColour = T, groupFill=T, size=4, type="boxplot")
Heatmap
去掉沒必要要的到座標軸的距離,使圖形更加緊湊
ggplot2 Bar Graph remove unnecessary distance between axis label and 0 count on y axis
scale_y_discrete(expand = c(0,0))
在對應的座標軸裏用expand來控制
座標軸以百分比顯示
scale_y_continuous(labels = percent_format())
x和y軸對角線翻轉
coord_flip()
圖例的順序翻轉
scale_fill_manual(guide = guide_legend(reverse=F))
geom_hline(yintercept=0, linetype="dashed", color = "gray30", size=0.1) + geom_vline(xintercept=6, color = "gray30", size=0.1) +
theme_Publication <- function(base_size=11, base_family="helvetica") { library(grid) library(ggthemes) (theme_foundation(base_size=base_size, base_family=base_family) + theme(plot.title = element_text(face = "bold", size = rel(1.2), hjust = 0.5), text = element_text(), panel.background = element_rect(colour = NA), plot.background = element_rect(colour = NA), panel.border = element_rect(colour = NA), axis.title = element_text(face = "bold",size = rel(1)), axis.title.y = element_text(angle=90,vjust =2), axis.title.x = element_text(vjust = -0.2), axis.text = element_text(), axis.line = element_line(colour="black"), axis.ticks = element_line(), panel.grid.major = element_line(colour="#f0f0f0"), panel.grid.minor = element_blank(), legend.key = element_rect(colour = NA), legend.position = "bottom", legend.direction = "horizontal", legend.key.size= unit(0.2, "cm"), legend.margin = unit(0, "cm"), legend.title = element_text(face="italic"), # plot.margin=unit(c(10,5,5,5),"mm"), plot.margin=unit(c(5,2,2,2),"mm"), strip.background=element_rect(colour="#f0f0f0",fill="#f0f0f0"), strip.text = element_text(face="bold") )) } scale_fill_Publication <- function(...){ library(scales) discrete_scale("fill","Publication",manual_pal(values = c("#386cb0","#fdb462","#7fc97f","#ef3b2c","#662506","#a6cee3","#fb9a99","#984ea3","#ffff33")), ...) } scale_colour_Publication <- function(...){ library(scales) discrete_scale("colour","Publication",manual_pal(values = c("#386cb0","#fdb462","#7fc97f","#ef3b2c","#662506","#a6cee3","#fb9a99","#984ea3","#ffff33")), ...) }
持續添加~