a <- structure(list(
X1 = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L),
.Label = c("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8"), class = "factor"),
X2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("A", "B", "C"), class = "factor"),
value = c(0.03508924, 0.03054929, 0.03820896, 0.18207091, 0.25985142, 0.03909991, 0.03079736,
0.41436334, 0.02957787, 0.03113289, 0.03239794, 0.1691519, 0.16368845, 0.0287741, 0.02443448,
0.33474091, 0.03283068, 0.02668754, 0.03597605, 0.17098721, 0.23048966, 0.0385765, 0.02597068, 0.36917749),
se = c(0.003064016, 0.003189752, 0.003301929, 0.006415592, 0.00825635, 0.003479607,
0.003195332, 0.008754099, 0.005594554, 0.006840959, 0.006098068, 0.012790908, 0.014176414,
0.006249045, 0.005659445, 0.018284739, 0.005051873, 0.004719352, 0.005487301, 0.011454206,
0.01290797, 0.005884275, 0.004738851, 0.014075813)),
.Names = c("X1", "X2", "value", "se"), class = "data.frame", row.names = c(NA, -24L))
我正在绘制上面的数据(保存在数据集“a”中),我无法将置信度置于群组图表的中间。我到目前为止的尝试只能设法在每个栏的一侧,不在中间,就像在geom_errorbar helpfile中一样。我试图操纵道奇参数,但它只会让它变得更糟。 图表需要保持翻转,在下面的代码中我使用了geom_linerange,但geom_errorbar会更好。 我还没有完成的另一件事是将比例改为整数(不要使原始表格多变)。
我在&lt; -a [1:16,](前两组)上使用了以下代码。 当我在整个表格中使用相同的代码时,我会在置信区间内得到更差的结果。 有人能帮忙吗?非常感谢提前。
limits <- aes(ymax = value + se, ymin=value - se)
p<-ggplot(data = a, aes(x = X1, y =value))+
geom_bar(aes(fill=X2),position = "dodge") +
scale_x_discrete(name="")+
scale_fill_manual(values=c("grey80","black","red"))+
scale_y_continuous(name="%")+
theme(axis.text.y = element_text(face='bold'),
legend.position ="top",
legend.title=element_blank())+
coord_flip()
p + geom_linerange(limits)
答案 0 :(得分:2)
试试这个,
p<-ggplot(data = df, aes(x = X1, y =value,fill= X2))+
geom_bar(position=position_dodge()) +
geom_errorbar(aes(ymax = value + 2* se, ymin=value,colour = X2),position=position_dodge(.9))
p <- p + scale_x_discrete(name="")+
scale_fill_manual(values=c("grey80","black","red"))+
scale_y_continuous(name="%")+
theme(axis.text.y = element_text(face='bold'),
legend.position ="top",
legend.title=element_blank())+
coord_flip()