ggplot2:即使drop = FALSE,Legend也不会显示所有类别

时间:2016-06-08 09:38:55

标签: r ggplot2

我有一个p值矩阵(pvalmat),我想绘制一个瓦片图来描绘不同范围的p值。以前在stackoverflow上,人们已经注意到drop=FALSE参数足以保留图块图中的所有类别。但它对我不起作用。

我使用的代码如下:

library(reshape)
library(ggplot2)

t1 <- "
                         PC1        PC2       PC3        PC4       PC5
Sample_Group       0.8736898 0.97622168 0.2561840 0.42037376 0.1014430
Patient_ID         0.5715401 0.11196997 0.7373194 0.29259420 0.4492927
Batch              0.2372638 0.31829279 0.6886578 0.13898381 0.8962650
Gender             0.2849828 0.19308078 0.7906396 0.70711634 0.1862483
Race               0.9625020 0.86909694 0.9539444 0.45216929 0.4484681
Vital_Status       0.6132153 0.59893269 0.1587745 0.77892172 0.7018237
Family_History     0.5434387 0.19100356 1.0000000 0.20342504 0.8735441
Tissue_Source_Site 0.5448434 0.06034538 0.2239321 0.03223223 0.9604476
Initial_Weight     0.3545216 0.42727010 0.3310045 0.72190824 0.5736651
Age                0.5180032 0.28494126 0.4975151 0.37259105 0.4632363
"

con <- textConnection(t1)
pvalmat <- read.table(con, row.names = NULL)   

pvalmat.m <- melt(pvalmat)
colnames(pvalmat.m) <- c("Clinical_Variables", "Principal_Component", "pval")
pvalmat.m$colorcut <- cut(pvalmat.m$pval,breaks = c(-Inf,0.001, 0.01, 0.05, 0.1, Inf), right = FALSE)

p <- ggplot(pvalmat.m, aes(Principal_Component, Clinical_Variables)) + geom_tile(aes(fill = colorcut), colour = "white") + 
  scale_fill_manual(breaks=c("[-Inf, 0.001)", "[0.001, 0.01)", "[0.01, 0.05)", 
                             "[0.05, 0.1)", "[0.1, Inf)"),
                    values = c("darkred", "red", "orange", "yellow", "gray"),
                    name="P-value", labels=c("< 0.001", "< 0.01", "< 0.05", "< 0.1", "> 0.1"), 
                    drop=FALSE) + 
  labs(x="Principal Components", y="Clinical Variables")

但我在传奇中只收到一个类别:

P-value plot

虽然它正确显示了颜色,为什么它没有显示所有类别的图例?

谢谢!

1 个答案:

答案 0 :(得分:7)

您已将pval分解为离散类别,因此您无需在scale_fill_manual中再次执行此操作。

ggplot(pvalmat.m, aes(Principal_Component, Clinical_Variables)) + 
  geom_tile(aes(fill = colorcut), colour = "white") + 
  scale_fill_manual(values = c("darkred", "red", "orange", "yellow", "gray"), 
                    drop = FALSE,
                    name="P-value", 
                    labels=c("< 0.001", "< 0.01", "< 0.05", "< 0.1", "> 0.1"))

enter image description here