错误栏结束丢失(Error bar ends missing)
以下示例代码:
require(ggplot2) stats <- data.frame(Day=0:5, Mean=c(3.2, 2.7, 0.8, 0.2, 0, 0), Q10=0.0, Q90=c(7.48, 4.0, 2.2, 1.2, 0, 0)) plot <- ggplot(stats, aes(x=Day, y=Mean)) + geom_point(size=4) + geom_line(size=1.5) + geom_errorbar(aes(ymin=Q10, ymax=Q90), width=0.2) + ggtitle("Example") + ylab("Pain Score") + scale_x_continuous("Day", expand=c(0.02,0), limits=c(0,15), breaks=0:15, labels=c("DOS", 1:15)) + scale_y_continuous("Pain Score", expand=c(0.02,0), limits=c(0,10), breaks=0:10) print(plot)产生以下情节:
我一直无法弄清楚为什么最左边的错误栏末端没有'T'。
The following example code:
require(ggplot2) stats <- data.frame(Day=0:5, Mean=c(3.2, 2.7, 0.8, 0.2, 0, 0), Q10=0.0, Q90=c(7.48, 4.0, 2.2, 1.2, 0, 0)) plot <- ggplot(stats, aes(x=Day, y=Mean)) + geom_point(size=4) + geom_line(size=1.5) + geom_errorbar(aes(ymin=Q10, ymax=Q90), width=0.2) + ggtitle("Example") + ylab("Pain Score") + scale_x_continuous("Day", expand=c(0.02,0), limits=c(0,15), breaks=0:15, labels=c("DOS", 1:15)) + scale_y_continuous("Pain Score", expand=c(0.02,0), limits=c(0,10), breaks=0:10) print(plot)Produces the following plot:
I've been unable to work out why the left-most error bar has no 'T' on the ends.
最满意答案
注意警告:
Warning message: Removed 1 rows containing missing values (geom_path).使用coord_cartesian指定限制而不丢弃数据:
plot <- ggplot(stats, aes(x=Day, y=Mean)) + geom_point(size=4) + geom_line(size=1.5) + geom_errorbar(aes(ymin=Q10, ymax=Q90), width=0.2) + ggtitle("Example") + ylab("Pain Score") + scale_x_continuous("Day", breaks=0:15, labels=c("DOS", 1:15)) + scale_y_continuous("Pain Score", breaks=0:10) + coord_cartesian(xlim = c(-0.3, 15.3), ylim = c(-0.3,10.3)) print(plot)Note the warning:
Warning message: Removed 1 rows containing missing values (geom_path).Use coord_cartesian to specify limits without discarding data:
plot <- ggplot(stats, aes(x=Day, y=Mean)) + geom_point(size=4) + geom_line(size=1.5) + geom_errorbar(aes(ymin=Q10, ymax=Q90), width=0.2) + ggtitle("Example") + ylab("Pain Score") + scale_x_continuous("Day", breaks=0:15, labels=c("DOS", 1:15)) + scale_y_continuous("Pain Score", breaks=0:10) + coord_cartesian(xlim = c(-0.3, 15.3), ylim = c(-0.3,10.3)) print(plot)更多推荐
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