在ggplot2中仅绘制x和y轴边界(无框)？

Question

某些期刊的惯例是在一个图中仅显示x和y轴,而不是在整个绘图区域周围显示一个框.我怎样才能在ggplot2中实现这一目标？我尝试theme_minimal_cb_L从这里,但它似乎擦除了绘图周围的整个框(不离开x和y轴),如下所示:

这是我正在使用的代码:

dat <- structure(list(x = c(0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1, 1.05, 
    1.1, 1.15, 1.2, 1.25, 1.3), y1 = c(34, 30, 26, 23, 21, 19, 17, 
    16, 15, 13, 12, 12, 11), y2 = c(45, 39, 34, 31, 28, 25, 23, 21, 
    19, 17, 16, 15, 14)), .Names = c("x", "y1", "y2"), row.names = c(NA, 
    -13L), class = "data.frame")


library(reshape2); library(ggplot2)
dat2 <- melt(dat, id='x')

theme_minimal_cb_L <- function (base_size = 12, base_family = "", ...){
  modifyList (theme_minimal (base_size = base_size, base_family = base_family),
              list (axis.line = element_line (colour = "black")))
}

ggplot(data=dat2, aes(x=x, y=value, color=variable)) + 
    geom_point(size=3) + geom_line(size=.5) +
    theme_minimal_cb_L()

Answer 1

axis.line()似乎不再有效了.而是使用axis.line.x()和axis.line.y()

所以将这个添加到你的情节中:

... + theme(panel.border = element_blank(),
axis.line.x = element_line(size = 0.5, linetype = "solid", colour = "black"),
axis.line.y = element_line(size = 0.5, linetype = "solid", colour = "black")) + ...

会做的伎俩.

Answer 2

我相信你说你只想要在情节的左边和底部划线 - 对吗？

theme(panel.border = element_blank(), axis.line = element_line())

panel.border删除整个边框,然后使用axis.line添加x和y轴线.

编辑:由于您发布的其他主题内容对我不起作用.我将发布我实际运行的代码

dat <- structure(list(x = c(0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1, 1.05, 
    1.1, 1.15, 1.2, 1.25, 1.3), y1 = c(34, 30, 26, 23, 21, 19, 17, 
    16, 15, 13, 12, 12, 11), y2 = c(45, 39, 34, 31, 28, 25, 23, 21, 
    19, 17, 16, 15, 14)), .Names = c("x", "y1", "y2"), row.names = c(NA, 
    -13L), class = "data.frame")


library(reshape2); library(ggplot2)
dat2 <- melt(dat, id='x')

ggplot(data=dat2, aes(x=x, y=value, color=variable)) + 
    geom_point(size=3) + geom_line(size=.5) +
    theme(panel.border = element_blank(), axis.line = element_line())

# or using the template you used from talkstats...
ggplot(data=dat2, aes(x=x, y=value, color=variable)) + 
    geom_point(size=3) + geom_line(size=1.5) +
    scale_y_continuous(breaks=seq(0, 45, by=5)) +
    scale_x_continuous(breaks=seq(.7, 1.3, by=.05)) +
    theme_bw() + ylab("Sample Size") + xlab("Mean Difference") +
    theme(legend.position="bottom", legend.title=element_blank(),
        legend.key = element_rect(colour = 'white'), 
        legend.background = element_rect(colour = "black")) +
    ggtitle("Sample Size vs. Mean Difference by Power") +
    theme(panel.border = element_blank(), axis.line = element_line())