我正在使用以下数据框:
df1 <- structure(list(Genotype = structure(c(1L, 1L, 1L, 1L, 1L,
2L,2L,2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,
1L,1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L),
.Label= c("miR-15/16 FL", "miR-15/16 cKO"), class = "factor"),
Tissue = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L), .Label = c("iLN", "Spleen", "Skin", "Colon"), class = "factor"),
`Cells/SC/Live/CD8—,, CD4+/Foxp3+,Median,<BV421-A>,CD127` = c(518L,
715L, 572L, 599L, 614L, 881L, 743L, 722L, 779L, 843L, 494L,
610L, 613L, 624L, 631L, 925L, 880L, 932L, 876L, 926L, 1786L,
2079L, 2199L, 2345L, 2360L, 2408L, 2509L, 3129L, 3263L, 3714L,
917L, NA, 1066L, 1059L, 939L, 1269L, 1047L, 974L, 1048L,
1084L)),
.Names = c("Genotype", "Tissue", "Cells/SC/Live/CD8—,,CD4+/Foxp3+,Median,<BV421-A>,CD127"),
row.names = c(NA, -40L), class = c("tbl_df", "tbl", "data.frame"))
并尝试使用ggplot2绘制图,其中框图和点显示按“组织”分组并由“基因型”交错。这似乎运作良好,但是,我注意到在我的传说中,还有一个与形状重叠的“a”。
library(ggplot2)
library(ggpubr)
color.groups <- c("black","red")
names(color.groups) <- unique(df1$Genotype)
shape.groups <- c(16, 1)
names(shape.groups) <- unique(df1$Genotype)
ggplot(df1, aes(x = Tissue, y = df1[3], color = Genotype, shape = Genotype)) +
geom_boxplot(position = position_dodge(), outlier.shape = NA) +
geom_point(position=position_dodge(width=0.75)) +
ylim(0,1.2*max(df1[3], na.rm = TRUE)) +
ylab('MFI CD127 (of CD4+ Foxp3+ T cells') +
scale_color_manual(values=color.groups) +
scale_shape_manual(values=shape.groups) +
theme_bw() + theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"),
axis.title.x=element_blank(), aspect.ratio = 1,
text = element_text(size = 9)) +
stat_compare_means(label = 'p.format', method = 't.test',
label.y = c(0.1*max(df1[3], na.rm = TRUE) + max(df1[3][c(1:10),], na.rm = TRUE),
0.1*max(df1[3], na.rm = TRUE) + max(df1[3][c(11:20),], na.rm = TRUE),
0.1*max(df1[3], na.rm = TRUE) + max(df1[3][c(21:30),], na.rm = TRUE),
0.1*max(df1[3], na.rm = TRUE) + max(df1[3][c(31:40),], na.rm = TRUE)))
如果我隐藏了scale_color_manual图例,它会删除“a”但它也会从图例中删除颜色。我错过了什么吗?
感谢您的帮助!