如何在R的hexplom()六角箱线图中移除变量面板内的刻度与数值？

使用hexbin包的hexplom()函数绘制连续变量的散点图矩阵，数据格式示例如下：

dep_delay     temp    dewp   humid  wind_speed  precip  visib  date
1      39.02    28.04   64.43  11.50   13.24       0.00   10.00  2013-01-01
...
301     43      39.20   30.20  69.88   14.96       0.00    3.0   2013-03-25
...
1253    392     46.04   42.98  88.99   4.60        0.00    10.0  2013-12-21

当前使用的绘图代码：

library(hexbin)
hexplom(~df_w_delays_num[1:7] , data = df_w_delays_num,
        xbins = 15, colramp = BTC, varnames = c("dep\ndelay", "temp", "dew", "humidity", "wind\nspeed","wind\ngust", "precipi\ntation", "visibility"))

遇到的问题：变量面板内的刻度线和数值标签遮挡了自定义的变量名称，需要移除这些遮挡元素。

hexplom()基于lattice框架实现，可通过lattice相关参数控制轴元素的显示：

• 方法1：完全隐藏所有轴的刻度和标签
  添加scales参数并设置draw=FALSE，一次性隐藏所有面板的轴刻度与标签：

  library(hexbin)
  hexplom(~df_w_delays_num[1:7] , data = df_w_delays_num,
          xbins = 15, colramp = BTC, 
          varnames = c("dep\ndelay", "temp", "dew", "humidity", "wind\nspeed","wind\ngust", "precipi\ntation", "visibility"),
          scales = list(draw = FALSE))
  

• 方法2：仅隐藏轴数值标签（保留刻度线可选）
  若需保留刻度线但隐藏数值标签，可单独设置labels=FALSE；若连刻度线也需隐藏，再添加tck=0：

  hexplom(~df_w_delays_num[1:7] , data = df_w_delays_num,
          xbins = 15, colramp = BTC, 
          varnames = c("dep\ndelay", "temp", "dew", "humidity", "wind\nspeed","wind\ngust", "precipi\ntation", "visibility"),
          scales = list(x = list(labels = FALSE, tck = 0), 
                        y = list(labels = FALSE, tck = 0)))
  

• 方法3：精细控制轴元素样式
  通过par.settings参数设置轴文本颜色为透明，或直接隐藏轴线条，避免遮挡变量名称：

  hexplom(~df_w_delays_num[1:7] , data = df_w_delays_num,
          xbins = 15, colramp = BTC, 
          varnames = c("dep\ndelay", "temp", "dew", "humidity", "wind\nspeed","wind\ngust", "precipi\ntation", "visibility"),
          par.settings = list(axis.text = list(col = "transparent"),
                              axis.line = list(col = "transparent")))
  

内容的提问来源于stack exchange，提问作者Bluetail