【问题标题】:Reduce space between discrete axis ticks in ggplot2减少ggplot2中离散轴刻度之间的空间
【发布时间】:2017-12-05 04:18:46
【问题描述】:

我正在尝试在ggplot2 中绘制两个相互平行的刻度,如下所示。

data <- rbind(data.frame(type = "norm", value = 0:100, label = 0:100),
              data.frame(type = "trans", value = asin(0:100/100) *100, label = 0:100))

data <- data[data$label %% 1 == 0,]
data$size <- ifelse(data$label %% 10 == 0, 0.2,
                    ifelse(data$label %% 5 == 0, 0.1,
                           0.05))
data$R <- ifelse(data$type == "norm",
                 as.numeric(data$type) - data$size,
                 as.numeric(data$type))
data$L <- ifelse(data$type == "trans",
                 as.numeric(data$type) + data$size,
                 as.numeric(data$type))
data$Txt <- ifelse(data$type == "norm",
                   data$L - 0.3,
                   data$R + 0.3)

g <- ggplot(data, aes(x = type, y = value)) +
  geom_line(aes(group = type)) +
  scale_x_discrete("type", labels = parse(text = levels(data$type))) +
  annotate("segment", x = data$L, xend = data$R,
           y = data$value,
           yend = data$value) + 
  annotate("text", x = data[data$label %% 10 == 0,]$Txt,
           y = data[data$label %% 10 == 0,]$value,
           label = data[data$label %% 10 == 0,]$label) +
  theme_minimal() +
  theme(axis.text.y = element_blank(),
        axis.title = element_blank(),
        axis.text.x = element_text(colour = "black",
                                   size = 12),
        plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank())

在保留纵横比和大小的情况下,如何缩小normtrans 之间的空间以得到以下想要的结果?

【问题讨论】:

    标签: r ggplot2 data-visualization


    【解决方案1】:

    expand=c(0,20) 添加到scale_x_discrete 并操纵其他输入。到目前为止,代码如下所示:

    data <- data[data$label %% 1 == 0,]
    data$size <- ifelse(data$label %% 10 == 0, 4,
                        ifelse(data$label %% 5 == 0, 2,
                               1))
    data$R <- ifelse(data$type == "norm",
                     as.numeric(data$type) - data$size,
                     as.numeric(data$type))
    data$L <- ifelse(data$type == "trans",
                     as.numeric(data$type) + data$size,
                     as.numeric(data$type))
    data$Txt <- ifelse(data$type == "norm",
                       data$L - 6,
                       data$R + 6)
    
    g <- ggplot(data, aes(x = type, y = value)) +
      geom_line(aes(group = type)) +
      scale_x_discrete("type",
                       expand=c(0,20)) +
      annotate("segment", x = data$L, xend = data$R,
               y = data$value,
               yend = data$value) + 
      annotate("text", x = data[data$label %% 10 == 0,]$Txt,
               y = data[data$label %% 10 == 0,]$value,
               label = data[data$label %% 10 == 0,]$label) +
      theme_minimal() +
      theme(axis.text.y = element_blank(),
            axis.title = element_blank(),
            axis.text.x = element_blank(),
            plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"),
            panel.grid.major = element_blank(),
            panel.grid.minor = element_blank())
    g
    

    【讨论】:

    • 我试过theme(aspect.ratio = x)coord.fixed,但是它弄乱了标尺上文本和段的大小和位置
    • 已编辑。你觉得怎么样?