我得到了一个数据,用于比较两个基因组(第1列和第2列)及其与该指数的相似性,该指数指示了该物种的基因组比较数:
Genome1 Genome2 % of similarity 1 in 2 % of similarity 2 in 1 Species index
1: GCF_001956585.1 GCF_002860635.1 65.2 65.0 Actinomyces_naeslundii 1
2: GCF_001937545.1 GCF_001937675.1 78.8 79.1 Actinomyces_oris 1
3: GCF_001937545.1 GCF_001937725.1 80.9 73.5 Actinomyces_oris 2
4: GCF_001937675.1 GCF_001937725.1 78.4 71.1 Actinomyces_oris 3
5: GCF_001262035.1 GCF_003130125.1 92.6 93.5 Aggregatibacter_aphrophilus 1
6: GCF_001262035.1 GCF_003252995.1 82.8 84.3 Aggregatibacter_aphrophilus 2
7: GCF_003130125.1 GCF_003252995.1 84.5 84.8 Aggregatibacter_aphrophilus 3
8: GCF_001059425.1 GCF_003130095.1 92.4 89.3 Aggregatibacter_segnis 1
9: GCF_001059425.1 GCF_003252685.1 90.1 90.1 Aggregatibacter_segnis 2
10: GCF_003130095.1 GCF_003252685.1 87.0 89.8 Aggregatibacter_segnis 3
我试图旋转geom_points图的x标签。 before
标签已成功旋转,但图形为空(不显示数据)。
g <- ggplot(data = compareset, aes(x = Species, y =`% of similarity 1 in 2`, col = index))
g + geom_point()
g + theme(axis.text.x = element_text(angle = 90, hjust = 1))
答案 0 :(得分:0)
该代码对我有用。看到这里
数据
set.seed(1)
myFun <- function(n) {
a <- do.call(paste0, replicate(5, sample(LETTERS, n, TRUE), FALSE))
paste0(a, sprintf("%04d", sample(9999, n, TRUE)), sample(LETTERS, n, TRUE))
}
n <- 20
compareset <- data.frame(Species= myFun(n=n), y= rnorm(n), index= factor(rep(c(1,2), n/2)))
您的代码
library(ggplot2)
g <- ggplot(data = compareset, aes(x = Species, y = y, col = index))
g <- g + geom_point()
g <- g + theme(axis.text.x = element_text(angle = 90, hjust = 1))
g
正如Z.Lin指出的,您没有将g + geom_point()
的结果保存回g。这是我在使用您的代码时“自动”执行的操作,并且有效。所以这就是你应该尝试的。
编辑
感谢您的数据。通过为g重新分配新更改,它可以工作。在这里:
compareset <- data.frame(similarity= c(65.2, 78.8, 80.9, 78.4, 92.6,
82.8, 84.5, 92.4, 90.1, 87.0),
Species= c("Actinomyces_naeslundii1", "Actinomyces_oris1", "Actinomyces_oris2", "Actinomyces_oris3", "Aggregatibacter_aphrophilus1",
"Aggregatibacter_aphrophilus2", "Aggregatibacter_aphrophilus3", "Aggregatibacter_segnis1", "Aggregatibacter_segnis2", "Aggregatibacter_segnis3"),
index= c(1,1,2,3,1,2,3,1,2,3))
g <- ggplot(data = compareset, aes(x = Species, y = similarity, col = index))
g <- g + geom_point()
g <- g + theme(axis.text.x = element_text(angle = 90, hjust = 1))
g