删除列标签的背景颜色，同时保留绘图背景颜色 ggpairs

我定义了一个函数来设置 ggpairs 中的背景，以匹配两个变量之间的相关程度。 但是，我还想从沿图外部运行的变量标签中删除灰色背景，但如果不删除相关颜色，我就无法做到这一点。

library(GGally)

# Loads some data
mtcars <- dput(mtcars)[,1:6]

# Defines function to color according to correlation
cor_func <- function(data, mapping, method, symbol, ...){
  x <- eval_data_col(data, mapping$x)
  y <- eval_data_col(data, mapping$y)

  corr <- cor(x, y, method=method, use='complete.obs')

  colFn <- colorRampPalette(c("brown1", "white", "dodgerblue"), 
                interpolate ='spline')
  fill <- colFn(100)[findInterval(corr, seq(-1, 1, length = 100))]

  ggally_text(
    label = paste(symbol, as.character(round(corr, 2))), 
    mapping = aes(),
    xP = 0.5, yP = 0.5,
    color = 'black',
    ...) + 
    theme_void() +
    theme(panel.background = element_rect(fill = fill))
}

# Following the suggestion by @Jonni
pm <- ggpairs(mtcars, 
          upper = list(continuous = wrap(cor_func,
                  method = 'spearman', symbol = expression('\u03C1 ='))),
          lower = list(continuous = function(data, mapping, ...) {
                  ggally_smooth_lm(data = data, mapping = mapping) +
                  theme(panel.background = element_blank())}),
          diag = list(continuous = function(data, mapping, ...) {
                  ggally_densityDiag(data = data, mapping = mapping) + 
                  theme(panel.background = element_blank())}
                ))

pm

# All of these methods looses the correlation color in addition
# to the background color of the labels
pm + theme(strip.background = element_rect(fill = "white"))
pm + theme(strip.background = element_rect(fill = NA))   
pm + theme(strip.background = element_blank())

# This only looses the correlation colors
pm + theme(panel.grid.major = element_blank(), panel.grid.minor = 
                  element_blank())

这是第一次调用绘图时产生的颜色图（仍然具有灰色标签背景）：

::编辑:: 这对我有用，可以从侧面标签中删除灰色。函数中取出了theme_void()，并在最后指定了个性化主题。

mtcars <- dput(mtcars)[,1:6]

# Defines function to color according to correlation
cor_func <- function(data, mapping, method, symbol, ...){
  x <- eval_data_col(data, mapping$x)
  y <- eval_data_col(data, mapping$y)

 corr <- cor(x, y, method=method, use='complete.obs')
  colFn <- colorRampPalette(c("brown1", "white", "dodgerblue"), 
                       interpolate ='spline')
 fill <- colFn(100)[findInterval(corr, seq(-1, 1, length = 100))]

ggally_text(
label = paste(symbol, as.character(round(corr, 2))), 
mapping = aes(),
xP = 0.5, yP = 0.5,
color = 'black',
...
) + #removed theme_void()
theme(panel.background = element_rect(fill = fill))
}

pm <- ggpairs(mtcars, 
          upper = list(continuous = wrap(cor_func,
                  method = 'spearman', symbol = expression('\u03C1 ='))),
          lower = list(continuous = function(data, mapping, ...) {
                  ggally_smooth_lm(data = data, mapping = mapping) +
                  theme(panel.background = element_blank())}),
          diag = list(continuous = function(data, mapping, ...) {
                  ggally_densityDiag(data = data, mapping = mapping) + 
                  theme(panel.background = element_blank())}
                ))

mytheme = theme(strip.background = element_rect(fill = "white"),panel.grid.major = element_blank(), panel.grid.minor = element_blank())


pm + mytheme

可能不需要定义主题，但如果您必须制作多个主题，则可能会很有用