我想使用 ggplot 绘制以下图：
这是我的 df 结构的示例（有点，不按数据比例绘制）：
example.df = data.frame(mean = c(0.3,0.8,0.4,0.65,0.28,0.91,0.35,0.61,0.32,0.94,0.1,0.9,0.13,0.85,0.7,1.3),
std.dev = c(0.01,0.03,0.023,0.031,0.01,0.012,0.015,0.021,0.21,0.13,0.023,0.051,0.07,0.012,0.025,0.058),
class = c("1","2","1","2","1","2","1","2","1","2","1","2","1","2","1","2"),
group = c("group1","group2","group1","group2","group1","group2","group1","group2","group1","group2","group1","group2","group1","group2","group1","group2"))
该数据框由 16 个重复项组成，每个重复项都有给定的平均值和给定的标准差。
对于每个重复，我想绘制置信区间，其中我的图形示例中的大点是平均估计值，条形的长度是标准差的两倍。
另外，我想在同一行中绘制两个不同的重复，但使用不同的颜色，按类别着色，红色是 1 类，蓝色是 2 类。
最后，我想将整个图分成两个面板（在同一行），对应于两个不同的组。
我尝试查看这个网站，http://www.cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/但无法弄清楚如何针对此结构的任何数据框自动执行此操作，其中组数为 X（在本例中为 2），每组有 K 个复制（在本例中为 8、4 类 1 和 4 类 2） ）。
有没有一种使用 ggplot 或标准 r pkg 库来做到这一点的好方法？
我认为您提供的示例数据框没有以适当的方式构建，因为中的所有值group1 have class 1，并在group2都是类2。所以我制作了新的数据框，还添加了名为的新列replicate显示重复的数量（四个重复（其中两个class值）在每个group).
example.df = data.frame(mean = c(0.3,0.8,0.4,0.65,0.28,0.91,0.35,0.61,0.32,0.94,0.1,
0.9,0.13,0.85,0.7,1.3),
std.dev = c(0.01,0.03,0.023,0.031,0.01,0.012,0.015,0.021,0.21,
0.13,0.023,0.051,0.07,0.012,0.025,0.058),
class = c("1","2","1","2","1","2","1","2","1","2","1",
"2","1","2","1","2"),
group = rep(c("group1","group2"),each=8),
replicate=rep(rep(1:4,each=2),time=2))
现在你可以使用geom_pointrange()得到具有置信区间的点和facet_wrap()为每个组制定情节。
ggplot(example.df,aes(factor(replicate),
y=mean,ymin=mean-2*std.dev,ymax=mean+2*std.dev,color=factor(class)))+
geom_pointrange()+facet_wrap(~group)
