从ggplot2中删除网格,背景颜色以及顶部和右侧边框

Question

我想通过使用ggplot2重现下面的情节.我可以靠近,但不能删除顶部和右边界.下面我介绍几次使用ggplot2的尝试,包括在Stackoverflow上或通过Stackoverflow找到的一些建议.不幸的是,我无法将这些建议付诸实践.

我希望有人能够纠正下面的一个或多个代码片段.

谢谢你的任何建议.

# desired plot
a <- seq(1,20)
b <- a^0.25
plot(a,b, bty = "l")


library(ggplot2)

df <- as.data.frame(cbind(a,b))

# 1. ggplot2 default
ggplot(df, aes(x = a, y = b)) + geom_point()

# 2. removes background color
ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black'))

# 3. also removes gridlines
none <- theme_blank()
ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black')) + opts(panel.grid.major = none, panel.grid.minor = none)

# 4. does not remove top and right border
ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black')) + opts(panel.grid.major = none, panel.grid.minor = none) + opts(panel.border = none)

# 5. does not remove top and right border
ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black')) + opts(panel.grid.major = none, panel.grid.minor = none) + opts(axis.line = theme_segment())

# 6. removes x and y axis in addition to top and right border
# http://stackoverflow.com/questions/5458409/remove-top-and-right-border-from-ggplot2
ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black')) + opts(panel.grid.major = none, panel.grid.minor = none) + opts(panel.background=theme_rect(colour=NA))

# 7. returns error when attempting to remove top and right border
# https://groups.google.com/group/ggplot2/browse_thread/thread/f998d113638bf251
#
# Error in el(...) : could not find function "polylineGrob"
#
theme_L_border <- function(colour = "black", size = 1, linetype = 1) { 
   structure( 
     function(x = 0, y = 0, width = 1, height = 1, ...) { 
       polylineGrob( 
         x=c(x+width, x, x), y=c(y,y,y+height), ..., default.units = "npc", 
         gp=gpar(lwd=size, col=colour, lty=linetype), 
       ) 
     }, 
     class = "theme", 
     type = "box", 
     call = match.call() 
   )
}

ggplot(df, aes(x = a, y = b)) + geom_point() + opts(panel.background = theme_rect(fill='white', colour='black')) + opts(panel.grid.major = none, panel.grid.minor = none) + opts( panel.border = theme_L_border())

Answer 1

编辑 忽略这个答案.现在有更好的答案.查看评论.使用+ theme_classic()

编辑

这是一个更好的版本.原始帖子中提到的错误仍然存​​在(我认为).但轴线在面板下绘制.因此,同时删除panel.border和panel.background查看轴线.

library(ggplot2)
a <- seq(1,20)
b <- a^0.25
df <- as.data.frame(cbind(a,b))

ggplot(df, aes(x = a, y = b)) + geom_point() +
  theme_bw() +
  theme(axis.line = element_line(colour = "black"),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    panel.background = element_blank()) 

原帖 这个很贴心.有一个错误axis.line没有在y轴上工作(见这里),似乎还没有修复.因此,在移除面板边框后,必须使用单独绘制y轴geom_vline.

library(ggplot2)
library(grid)

a <- seq(1,20)
b <- a^0.25
df <- as.data.frame(cbind(a,b))

p = ggplot(df, aes(x = a, y = b)) + geom_point() +
   scale_y_continuous(expand = c(0,0)) +
   scale_x_continuous(expand = c(0,0)) +
   theme_bw() +
   opts(axis.line = theme_segment(colour = "black"),
        panel.grid.major = theme_blank(),
        panel.grid.minor = theme_blank(),
        panel.border = theme_blank()) +
    geom_vline(xintercept = 0)
p

极端点被剪切,但是可以使用baptiste的代码撤消剪辑.

gt <- ggplot_gtable(ggplot_build(p))
gt$layout$clip[gt$layout$name=="panel"] <- "off"
grid.draw(gt)

或者用于limits移动面板的边界.

ggplot(df, aes(x = a, y = b)) + geom_point() +
   xlim(0,22) +  ylim(.95, 2.1) +
   scale_x_continuous(expand = c(0,0), limits = c(0,22)) +
   scale_y_continuous(expand = c(0,0), limits = c(.95, 2.2)) +   
   theme_bw() +
   opts(axis.line = theme_segment(colour = "black"),
        panel.grid.major = theme_blank(),
        panel.grid.minor = theme_blank(),
        panel.border = theme_blank()) +
    geom_vline(xintercept = 0)

Answer 2

最近对ggplot(0.9.2+)的更新已经彻底改变了主题的语法.最值得注意的是,opts()现已被弃用,已被替换为theme(). 桑迪的回答仍将(截至12月1日)产生一个图表,但导致R抛出一堆警告.

这是反映当前ggplot语法的更新代码:

library(ggplot2)
a <- seq(1,20)
b <- a^0.25
df <- as.data.frame(cbind(a,b))

#base ggplot object
p <- ggplot(df, aes(x = a, y = b))

p +
  #plots the points
  geom_point() +

  #theme with white background
  theme_bw() +

  #eliminates background, gridlines, and chart border
  theme(
    plot.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    panel.border = element_blank()
  ) +

  #draws x and y axis line
  theme(axis.line = element_line(color = 'black'))

产生:

Answer 3

另一种选择theme_classic()是cowplot包附带的主题theme_cowplot()(自动加载包).它看起来很像theme_classic(),有一些细微的差别.最重要的是,默认标签尺寸较大,因此生成的图形可以在出版物中使用而无需进一步修改(特别是如果您使用save_plot()而不是保存它们ggsave()).此外,背景是透明的,而不是白色,如果您想在插图画家中编辑图形,这可能很有用.最后,在我看来,刻面图看起来更好.

例:

library(cowplot)
a <- seq(1,20)
b <- a^0.25
df <- as.data.frame(cbind(a,b))

p <- ggplot(df, aes(x = a, y = b)) + geom_point()
save_plot('plot.png', p) # alternative to ggsave, with default settings that work well with the theme

这是plot.png此代码生成的文件如下所示:

免责声明:我是包裹作者.

Answer 4

我按照安德鲁的回答,但我也必须按照/sf/answers/2508348391/分别设置x和y轴,因为我的ggplot版本(v2.1.0)中存在错误.

代替

theme(axis.line = element_line(color = 'black'))

我用了

theme(axis.line.x = element_line(color="black", size = 2),
    axis.line.y = element_line(color="black", size = 2))

Answer 5

这是一个非常简单的答案

yourPlot +
  theme(
    panel.border = element_blank(), 
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(), 
    axis.line = element_line(colour = "black")
    )

就是这么简单。来源：本文末尾