library(ggplot2)
Cellratio <- prop.table(table(sce$cell_type, sce$trt_grp), margin = 2)
Cellratio <- as.data.frame(Cellratio)
Cellratio
colnames(Cellratio) <- c('cell_type', 'trt_group', 'Freq')
Cellratio$cell_type <- factor(Cellratio$cell_type)
Cellratio$trt_group <- factor(Cellratio$trt_group)
stacked_histogram <- ggplot(Cellratio) +
geom_bar(
aes(x = trt_group, y = Freq, fill = cell_type),
stat = "identity",
width = 0.7,
size = 0.5,
colour = '#222222'
) +
theme_classic() +
labs(x = 'Sample', y = 'Ratio') +
theme(panel.border = element_rect(
fill = NA,
color = "black",
linewidth = 0.5,
linetype = "solid"
)) +
scale_fill_brewer(palette = "Spectral")
stacked_histogram
# save plot ----
if(FALSE) {
ggplot2::ggsave(
'~/stacked_histogram.pdf',
width = 1200,
height = 1000,
units = c('px'),
dpi = 300
)
}Scientific Charts
Stacked Histogram 堆叠柱状图
以单细胞测序数据为例,探究各治疗组中各种细胞的比例。