您可以在ggplot2 中完成所有这些操作,并在reshape2 的帮助下将您的数据转换为长格式。在这里,我假设您有一个名为 data 的数据框,它看起来像您的第二个数据图像。由于您没有制作可重现的示例,因此我不得不将您的图像通过 OCR 重新创建您的数据,因此它可能并不完全准确:
library(ggplot2)
library(reshape2)
ggplot(melt(data), aes(gene, variable, fill = Class, alpha = value)) +
geom_tile(colour = "gray50") +
scale_alpha_identity(guide = "none") +
coord_equal(expand = 0) +
theme_bw() +
theme(panel.grid.major = element_blank(),
axis.text.x = element_text(angle = 45, hjust = 1))
数据
data <- structure(list(gene = c("aadAl", "aadAS", "aph(3\")-lb", "aph(6)-ld",
"blaCTX-M-27", "blaOXA-1", "erm(B)", "mdf(A)", "mph(A)", "catAl"
), Class = c("Aminoglycoside", "Aminoglycoside", "Aminoglycoside",
"Aminoglycoside", "Beta-lactam", "Beta-lactam", "Macrolide", "Macrolide",
"Macrolide", "Tetracycline"), X598080 = c(1L, 0L, 1L, 1L, 1L,
0L, 1L, 1L, 1L, 0L), X607387 = c(1L, 0L, 1L, 1L, 1L, 0L, 0L,
1L, 0L, 0L), X888048 = c(1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L,
1L), X893916 = c(0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L)), class = "data.frame",
row.names = c(NA, -10L))
data
#> gene Class X598080 X607387 X888048 X893916
#> 1 aadAl Aminoglycoside 1 1 1 0
#> 2 aadAS Aminoglycoside 0 0 0 1
#> 3 aph(3")-lb Aminoglycoside 1 1 0 0
#> 4 aph(6)-ld Aminoglycoside 1 1 0 0
#> 5 blaCTX-M-27 Beta-lactam 1 1 0 1
#> 6 blaOXA-1 Beta-lactam 0 0 1 0
#> 7 erm(B) Macrolide 1 0 1 1
#> 8 mdf(A) Macrolide 1 1 1 1
#> 9 mph(A) Macrolide 1 0 1 1
#> 10 catAl Tetracycline 0 0 1 0
由reprex package (v0.3.0) 于 2020-07-13 创建