r - ggplot2 scale_x_discrete不显示值，缺少值警告

Question

我有一个数据框;

！[温度] [1]

First row are headers:

 LAYER, Number, Share %
 Between 100ms - 200ms , 132 , 4.66%
 Between 15ms - 30 ms , 475 , 16.8%
 Between 200ms - 300ms , 8 , 0.282%
 Between 300ms - 400ms , 1 , 0.0353%
 Between 30ms - 50 ms , 1329 , 46.9%
 Between 400ms - 500ms , 4 , 0.141%
 Between 500ms - 600ms , 2 , 0.0706%
 Between 50ms - 100ms , 863 , 30.5%
 Greater Than 600ms , 1 , 0.0353%
 Less Than 15ms , 17 , 0.6%) 

我正在绘制它的条形图：

myplot <- ggplot(temp, aes(as.factor(temp$layer), temp$n, label = temp$yuzde)) + xlab("") + ylab("# of SDNNs") + 
geom_bar(stat = "identity", width = 0.6, position = "dodge") +  
theme(axis.text=element_text(size=8), axis.title = element_text(size=8,face="bold"), axis.text.x = element_text(angle = 90, hjust = 1)) + 
scale_x_discrete(limits=c("Less Than 15ms", "Betwenn 15ms - 30 ms", "Betwenn 30ms - 50 ms", "Betwenn 50ms - 100 ms","Betwenn 100ms - 200 ms", "Betwenn 200ms - 300 ms","Betwenn 300ms - 400 ms", "Betwenn 400ms - 500 ms","Betwenn 500ms - 600 ms", "Greater Than 600ms")) +
geom_label()

图表来了;

但是当我排除scale_x_discrete时，一切正常！ 像这样;

[ggplot normal] [3]

但是我想拥有它，因为它是在第一个x轴顺序。

所以，scale_x_discrete毁了我的情节。我也尝试过因子和级别编辑，但它们也不起作用！

有人可以帮忙解决这个问题吗？

提前致谢。

Answer 1

最好的方法是重新排序LAYER中df因素的级别：

df$LAYER <- factor(df$LAYER, levels = levels(df$LAYER)[c(10,2,5,8,1,3,4,6,7,9)])

然后你可以简单地说：

library(ggplot2)

ggplot(df, aes(x = LAYER, y = Number, label = Share)) +
    geom_col() +
    geom_label() +
    theme(axis.text = element_text(size=8), 
          axis.title = element_text(size=8,face="bold"), 
          axis.text.x = element_text(angle = 90, hjust = 1)) 

我觉得它仍然很难看，但这就是你所问的。

数据：

df <- read.table(text = 'LAYER Number Share
                 "Between 100ms - 200ms" 132  4.66%
                 "Between 15ms - 30 ms"  475  16.8%
                 "Between 200ms - 300ms"  8  0.282%
                 "Between 300ms - 400ms"  1  0.0353%
                 "Between 30ms - 50 ms"  1329  46.9%
                 "Between 400ms - 500ms"  4  0.141%
                 "Between 500ms - 600ms"  2  0.0706%
                 "Between 50ms - 100ms"  863  30.5%
                 "Greater Than 600ms"  1  0.0353%
                 "Less Than 15ms"  17  0.6% ', header = T)