在R中的ggplot中指定x轴值 [英] Specify the x-axis values in ggplot in R

问题描述

我正在使用ggplot进行绘图，而在指定 x轴的值时遇到了麻烦.我希望每个样本值都显示在图表上，即1-50.

I am using ggplot to make a plot and I'm having trouble specifying the values of the x-axis. I would like each sample value to be shown on the graph i.e. 1-50.

这是代码的一小部分:

   chrom chr_start  chr_stop num_positions normal_depth tumor_depth log2_ratio gc_content sample
   324202     1 156249804 156249858            55         12.3         4.7     -1.399       34.5     10
   324203     1 156250463 156250473            11         10.0         4.6     -1.109       27.3     10
   324204     1 156250664 156250705            42         12.0         7.4     -0.704       19.0     10
   324205     1 156250816 156250847            32         11.7         4.6     -1.343       40.6     10
   324206     1 156251108 156251132            25         10.6         3.6     -1.569       60.0     10
   324207     1 156251411 156251464            54         12.3         6.8     -0.863       46.3     10

这是 ggplot 函数:

newHist = ggplot(resultsPileup1COMBINED[resultsPileup1COMBINED$sample <= 25,],
                 aes(x=sample)) +
  geom_histogram(fill="blue") +
  geom_histogram(data=resultsPileup1COMBINED[resultsPileup1COMBINED$sample > 25,], 
                 aes(x=sample), fill="gray50")

推荐答案

我会这样绘制:

ggplot(resultsPileup1COMBINED[resultsPileup1COMBINED$sample <= 25, ],
         aes(x=sample)) +
       geom_histogram(fill = "blue",binwidth = 1) +
       geom_histogram(data = resultsPileup1COMBINED[resultsPileup1COMBINED$sample > 25, ], 
         aes(x=sample), fill = "gray50", binwidth = 1) + 
       scale_x_continuous(limits = c(0, 50), breaks = 0:50)

两个主要的附加功能是 binwidth = 1 以确保每个样本都有其自己的列，以及 scale_x_continuous 以限制比例，其中breaks = 0:50调用手动标记轴

The two main additions are binwidth = 1 to ensure every sample gets its own column, and scale_x_continuous to limit the scales, with the breaks = 0:50 call to manually label the axis

下面是40秒的数据来测试第二次绘图调用:

Here's the data with a couple of 40s to test the second plot call:

dput(resultsPileup1COMBINED)

structure(list(chrom = c(1L, 1L, 1L, 1L, 1L, 1L), chr_start = c(156249804L, 
156250463L, 156250664L, 156250816L, 156251108L, 156251411L), 
    chr_stop = c(156249858L, 156250473L, 156250705L, 156250847L, 
    156251132L, 156251464L), num_positions = c(55L, 11L, 42L, 
    32L, 25L, 54L), normal_depth = c(12.3, 10, 12, 11.7, 10.6, 
    12.3), tumor_depth = c(4.7, 4.6, 7.4, 4.6, 3.6, 6.8), log2_ratio = c(-1.399, 
    -1.109, -0.704, -1.343, -1.569, -0.863), gc_content = c(34.5, 
    27.3, 19, 40.6, 60, 46.3), sample = c(10L, 10L, 10L, 10L, 
    40L, 40L)), .Names = c("chrom", "chr_start", "chr_stop", 
"num_positions", "normal_depth", "tumor_depth", "log2_ratio", 
"gc_content", "sample"), class = "data.frame", row.names = c("324202", 
"324203", "324204", "324205", "324206", "324207"))

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