1. ggpubr
https://blog.csdn.net/zhouhucheng00/article/details/106391872/
https://www.jianshu.com/p/77f12664540b
https://www.jianshu.com/p/18c29f89c7a1
差异统计
> head(kk)
gene RPKM tissue sample
2 18-w 1.324219345 A Drone_1
3 5-HT1 0.115036222 A Drone_1
4 5-HT2alpha 0.156672970 A Drone_1
5 5-HT2beta 0.000000000 A Drone_1
6 5-ht7 0.003033164 A Drone_1
7 A4 12.485018064 A Drone_1
> ggplot()+geom_boxplot(data=kk, aes(x=tissue, y=RPKM, fill=sample), outlier.color = NA)+scale_y_log10()+theme_cowplot()+scale_color_manual(values = hue_pal()(4)) '#示例一
> Statistics_result_of_t_test <- as.data.frame(compare_means(RPKM~sample, kk, method = "t.test", paired = FALSE, group.by = "tissue")) #进行差异统计
> Statistics_result_of_t_test
tissue .y. group1 group2 p p.adj p.format p.signif method
1 A RPKM Drone_1 Drone_2 0.91564803 1 0.916 ns T-test
2 A RPKM Drone_1 Drone_3 0.40329980 1 0.403 ns T-test
3 A RPKM Drone_1 Drone_4 0.26966910 1 0.270 ns T-test
4 A RPKM Drone_2 Drone_3 0.35598501 1 0.356 ns T-test
5 A RPKM Drone_2 Drone_4 0.23113466 1 0.231 ns T-test
6 A RPKM Drone_3 Drone_4 0.82903388 1 0.829 ns T-test
7 H RPKM Drone_1 Drone_2 0.65314577 1 0.653 ns T-test
8 H RPKM Drone_1 Drone_3 0.10048293 1 0.100 ns T-test
9 H RPKM Drone_1 Drone_4 0.09835627 1 0.098 ns T-test
10 H RPKM Drone_2 Drone_3 0.12251987 1 0.123 ns T-test
11 H RPKM Drone_2 Drone_4 0.12185849 1 0.122 ns T-test
12 H RPKM Drone_3 Drone_4 0.94264035 1 0.943 ns T-test
13 T RPKM Drone_1 Drone_2 0.62284377 1 0.623 ns T-test
14 T RPKM Drone_1 Drone_3 0.24356479 1 0.244 ns T-test
15 T RPKM Drone_1 Drone_4 0.19417880 1 0.194 ns T-test
16 T RPKM Drone_2 Drone_3 0.32061625 1 0.321 ns T-test
17 T RPKM Drone_2 Drone_4 0.26185337 1 0.262 ns T-test
18 T RPKM Drone_3 Drone_4 0.93052349 1 0.931 ns T-test
示例一
2. ggsignif
https://blog.csdn.net/lalaxumelala/article/details/109389602














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