我正在try 将ggplot2图形转换为plotly图形，这似乎工作得很好，但是鼠标悬停在上面时，Tumor_Volume变量的值显示为NA.它还显示了两次组变量:Screenshot of hover-over.
library(ggplot2)
library(plotly)
mouse_data$Mouse <- as.factor(mouse_data$Mouse)
mouse_data$Group <- as.factor(mouse_data$Group)
p <- ggplot(mouse_data, aes(x=Day, y=Tumor_Volume, color=Group,)) +
stat_summary(aes(group=Group), fun=mean, geom="line", size=1) +
stat_summary(aes(group=Group), fun=mean, geom="point", size=2) +
stat_summary(fun.data = mean_se, geom='errorbar', width=.5, size=0.7) +
theme_classic()
p
ggplotly(p)
不知道怎么解决这个问题，有什么帮助吗？
编辑:因我忘了而索取的样本数据，抱歉
Mouse <- c(1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4)
Group <- c('A','A','A','B','B','B','A','A','A','B','B','B')
Day <- c(1, 3, 5, 1, 3, 5, 1, 3, 5, 1, 3, 5)
Tumor_Volume <- c(1, 1.0829917, 1.2260616, 1, 1.1432288, 1.3644288,
1, 1.0551514, 1.3203255, 1, 1.3336704, 1.5578587)
Weight <- c(0, -1, -1, 0, 0, 1, 0, 0, 0, 0, 0, -1)
mouse_data <- data.frame(Mouse, Group, Day, Tumor_Volume)
mouse只是小鼠，重复测量总共四只
group是群变量，两个群；A和B
以1.00为基线转化tumor_volume个肿瘤体积
weight个归一化权重值，第1天为0，然后查看后续天数的权重增量
EDIT2:dput(mouse_data)个输出:
structure(list(Mouse = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), levels = c("1", "2", "3",
"4", "5", "6"), class = "factor"), Group = structure(c(2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), levels = c("Ionis-2",
"PBS"), class = "factor"), Day = c(1, 3, 5, 7, 9, 11, 13, 15,
17, 19, 21, 23, 25, 27, 29, 31, 1, 3, 5, 7, 9, 11, 13, 15, 17,
19, 21, 23, 25, 27, 29, 31, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19,
21, 23, 25, 27, 29, 31, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21,
23, 25, 27, 29, 31, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23,
25, 27, 29, 31, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25,
27, 29, 31), Tumor_Volume = c(1, 1.08299168, 1.22606163, 1.28005149,
1.15473202, 1.77751867, 1.7775596, 1.42810373, 1.49398489, 1.73608742,
1.9960584, 2.41555584, 2.44329879, 2.83244784, 2.95047186, 3.13712572,
1, 1.14322875, 1.36442879, 1.62265073, 1.41229115, 1.69515171,
1.85693702, 2.00477197, 2.45190977, 2.81710137, 2.95579987, 3.24677192,
3.7952463, 4.672606, 4.65405432, 5.04395284, 1, 1.08678546, 1.4051892,
1.70719996, 1.91914965, 2.77444381, 2.91922649, 3.12429506, 3.08423878,
3.1993417, 3.79480258, 3.45039433, 3.97340486, 4.40332097, 4.99459949,
5.19001667, 1, 1.05515139, 1.32032553, 1.31451857, 1.36498317,
1.48691696, 1.71555664, 1.69085447, 1.40778153, 1.16562843, 1.43153217,
1.14711724, 1.00752507, 0.93548112, 0.89387479, 0.5831787, 1,
1.33367041, 1.55785873, 1.97875617, 2.58821435, 2.66654602, 3.64662179,
3.06141446, 2.84366305, 2.56583405, 2.74313995, 2.31355113, 2.2229406,
2.18822338, 1.80662598, 1.59483541, 1, 1.59580807, 1.92068763,
2.1997625, 2.03248152, 2.45503449, 2.5517737, 2.57760473, 2.40887638,
3.15143769, 3.01258129, 2.79074441, 2.5628939, 2.86507289, 2.76465271,
2.45859679), Weight = c(0, -1, -1, -1, -1, -2, -1, -1, -2, -1,
-1, -2, -2, -2, -2, -2, 0, 0, 1, 1, 0, 0, 0, 0, -1, -2, -1, -1,
-1, -2, -2, -1, 0, 0, 0, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1,
-1, 0, -1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 3, 3, 3, 2, 2, 2, 0,
0, 0, 0, 0, -1, -1, 1, 0, 1, 3, 3, 2, 3, 3, 3, 0, -1, 0, 0, 0,
0, 0, 0, 0, 0, 1, 1, 1, 2, 1, 1)), row.names = c(NA, -96L), class = c("tbl_df",
"tbl", "data.frame"))
