错误:在ggplot2中使用Squash_axis且数据集不包含NA值时,在下标的分配中不允许使用NAs

问题描述 投票:1回答:1

对于大多数值在-10和100之间,然后在400处又少一些的数据集,我想跳过我的y轴的一部分。所以我想挤压这个空白区域。我已经在我的绘图中使用了Facet网格用于3种不同的场景,因此,我宁愿仅“挤压” Y轴而不创建多个绘图。

我在RPubs(https://rpubs.com/huanfaChen/squash_remove_y_axix_ggplot_)上找到了“ squash_axis”功能,该功能可能会对我有所帮助。但是我无法使其与我自己的数据集一起使用,甚至无法与示例数据集一起使用。

示例数据集(除了带有时间的另一列之外,我的数据集看起来非常相似)

dat <- data.frame(group=rep(c('A', 'B', 'C', 'D'), each = 10), 
                 value=c(rnorm(10), rnorm(10)+100)
                 )

然后是壁球轴功能:

require(ggplot2)
squash_axis <- function(from, to, factor) { 
    # A transformation function that squashes the range of [from, to] by factor on a given axis 

    # Args:
    #   from: left end of the axis
    #   to: right end of the axis
    #   factor: the compression factor of the range [from, to]
    #
    # Returns:
    #   A transformation called "squash_axis", which is capsulated by trans_new() function

  trans <- function(x) {    
      # get indices for the relevant regions
      isq <- x > from & x < to
      ito <- x >= to

      # apply transformation
      x[isq] <- from + (x[isq] - from)/factor
      x[ito] <- from + (to - from)/factor + (x[ito] - to)

      return(x)
  }

  inv <- function(x) {

      # get indices for the relevant regions
      isq <- x > from & x < from + (to - from)/factor
      ito <- x >= from + (to - from)/factor

      # apply transformation
      x[isq] <- from + (x[isq] - from) * factor
      x[ito] <- to + (x[ito] - (from + (to - from)/factor))

      return(x)
  }

# return the transformation
  return(trans_new("squash_axis", trans, inv))
}

以及示例中的情节:

ggplot(dat,aes(x=group,y=value))+
  geom_point()+
  scale_y_continuous(trans = squash_axis(5, 95, 10))

然后我得到了错误:x [isq]的误差

我不明白,因为我的数据中没有NA,示例数据中也没有NA。

发生了什么事?

r ggplot2 skip yaxis
1个回答
0
投票

如果发现问题出现在压缩转换的browser()部分中,则使用inv。但是我只能猜测原因是什么,可能与中断的设置方式(??)有关。但是,我没有通过scale_y_continuous来应用转换,而是尝试通过coord_trans来应用它,等等,工作:

library(ggplot2)

dat <- data.frame(group=rep(c('A', 'B', 'C', 'D'), each = 10), 
                  value=c(rnorm(10), rnorm(10)+100)
)

squash_axis <- function(from, to, factor) { 
  # A transformation function that squashes the range of [from, to] by factor on a given axis 

  # Args:
  #   from: left end of the axis
  #   to: right end of the axis
  #   factor: the compression factor of the range [from, to]
  #
  # Returns:
  #   A transformation called "squash_axis", which is capsulated by trans_new() function

  trans <- function(x) {    
    # get indices for the relevant regions
    isq <- x > from & x < to
    ito <- x >= to

    # apply transformation
    x[isq] <- from + (x[isq] - from)/factor
    x[ito] <- from + (to - from)/factor + (x[ito] - to)

    return(x)
  }

  inv <- function(x) {

    # get indices for the relevant regions
    isq <- x > from & x < from + (to - from)/factor
    ito <- x >= from + (to - from)/factor

    # apply transformation
    x[isq] <- from + (x[isq] - from) * factor
    x[ito] <- to + (x[ito] - (from + (to - from)/factor))

    return(x)
  }

  # return the transformation
  return(scales::trans_new("squash_axis", trans, inv, domain = c(from, to)))
}

ggplot(dat,aes(x=group, y = value))+
  geom_point()+
  coord_trans(y = squash_axis(5, 95, 10))

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