自定义图形的x轴 [英] Customizing x-axis of graph

问题描述

我使用 scale_x_discrete（）自定义x轴的刻度和标签。然而，如图所示，这些线条切断了右侧的y轴，这对我来说并不好看。你能帮我解决这个问题吗？数据（温度）也显示在下面。

 > a = ggplot（data = temp，aes（b，c，group = a，shape = a，color = a），ordered = TRUE）+ geom_line（）+ geom_point（）
> a 
>标签= c（2，4 ，8，16，32，64，128））
 
> temp 
abc 
 1一个2 5.1 
 2一个4 6.6 
 3一个8 7.7 
 4一个16 8.4 
 5一个32 16.1 
 6一个64 38.0 
 7一个128 49.2 
 8两个2 5.9 
 9两个4 7.7 
 10两个8 9.2 
 11两个16 10.3 
 12两个32 16.8 
 13两个64 32.4 
 14两个128 45.7 $ b $ 15三个2 4.7 
三个4 7.0 
 17三个8 8.5 
 18三个16 9.6 
 19三人32 14.8 
 20三人64 31.0 
 21三人128 34.5 
 22四人2 4.3 
 23四人4 6.9 
 24四人8 8.3 
 25四个16 9.1 
 26四个32 14.0 
 27四个64 23.8 
  

解决方案

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为什么你使用离散的比例来表示连续的东西。

如果你替换 scale_x_discrete 与 scale_x_continuous 然后这应该是你想要的。

  b < -  a + scale_x_continuous（breaks = 2 ^（1：7））
b 
  

您可能会对基数2的转换感兴趣，因为您的 b 数据只显示给

  a + scale_x_continuous（breaks = 2 ^（1：7），trans ='log2'） 
  

I am using scale_x_discrete() to customize ticks and labels of x-axis.

However, as figure shows, the lines cut the right-side y-axis, which doesn't look good to me. Could you please help me to fix this. The data (temp) is also shown below.

> a = ggplot(data = temp, aes(b, c, group=a,shape=a,colour=a), ordered=TRUE) + geom_line() + geom_point() 
> a
> b = a + scale_x_discrete(breaks = c("2","4","8","16","32","64","128"), labels=c("2","4","8","16","32","64","128"))

> temp
       a   b    c
1    One   2  5.1
2    One   4  6.6
3    One   8  7.7
4    One  16  8.4
5    One  32 16.1
6    One  64 38.0
7    One 128 49.2
8    Two   2  5.9
9    Two   4  7.7
10   Two   8  9.2
11   Two  16 10.3
12   Two  32 16.8
13   Two  64 32.4
14   Two 128 45.7
15 Three   2  4.7
16 Three   4  7.0
17 Three   8  8.5
18 Three  16  9.6
19 Three  32 14.8
20 Three  64 31.0
21 Three 128 34.5
22  Four   2  4.3
23  Four   4  6.9
24  Four   8  8.3
25  Four  16  9.1
26  Four  32 14.0
27  Four  64 23.8

解决方案

Why are you using a discrete scale for something at appears to be continuous.

If you replace scale_x_discrete with scale_x_continuous then this should work as you wish.

b <- a + scale_x_continuous(breaks = 2^(1:7))
b

You might be interested in a transformation to base 2, given the way your data for b appear only to be integer powers of 2.

a + scale_x_continuous(breaks = 2^(1:7), trans = 'log2')

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