我有如下数据:
structure(c(170007558.204312, 3151225505.1608, 3228057474.07417,
131519574.092116, 2149477968.81888, 1215136556.10718, 160433707.919651,
5956246992.50776, 2558167135.01689, 3245672969.97675, 169100005.594611,
354825870.40362, 1576805307.20395, 416870647.054276, 3399878725.25131,
370231854.581136, 1122345506.21081, 2305206508.74322, 2232159732.1229,
47308024.505238, 1241395335.9693, 2436980532.07484, 1128618969.34889,
3100422173.38636, 288672329.474137, 2987525983.71596, 3287998115.95645,
152127227.856302, 1994141536.64711, 1239229228.43808, 145289220.860244,
5376086563.26477, 2288378963.83637, 3084446977.22353, 63805766.33001,
336627137.967236, 1459357039.40439, 338887231.409886, 2712985868.45896,
351047105.326338, 1097447659.97404, 2042978821.82768, 2197665385.69067,
38049639.2725552, 1145898075.14945, 2394369287.02634, 941453724.349293,
2879533609.52787), .Dim = c(24L, 2L), .Dimnames = list(c("Mark",
"Chris", "Tom", "Tim", "Hank", "Taylor",
"Moniqe", "Rasp", "Greg", "Mephist", "Daniel",
"Moussa", "Ivan", "Treate", "Argen", "Tupol",
"Gotrek", "Marcel", "Gotae", "Ernsten", "Alfred",
"Katrin", "Paul", "Marten"), NULL))
我想在列1
和2
之间执行成对比较。重要的是,所有这些行都以某种方式创建了一个实体。因此,通常会按成员比较两组。我只想表明这些团体的成员真的很相似。我想过简单的boxplot / dotplot,但是如何将这些数据标准化以将所有内容放在一个图表上?你有没有其他任何比较?如何将两个数据集中的数字放入一个图表中?
编辑: 别忘了提到我想避免计算它们之间的比例并绘制输出。
答案 0 :(得分:6)
你可以尝试
library(reshape2)
dl <- melt(d)
plot(dl[,2], dl[,3])
for(i in 1:nrow(d)){
lines(1:2, c(d[i,]))
}
你也可以试试ggplot解决方案
ggplot(dl, aes(x=factor(Var2), y= value, group=Var1, label=Var1)) + geom_line() +
geom_text(data = subset(dl, Var2 == "1"), hjust = 1) +
geom_text(data = subset(dl, Var2 == "2"), hjust = 0) +
theme_classic()
在tidyverse你可以写
library(tidyverse)
library(ggrepel)
as.data.frame(d) %>%
add_column(Names=rownames(d)) %>%
gather(key, value, -Names) %>%
ggplot(aes(x=key, y=value,label=Names)) +
geom_boxplot(fill="grey") +
geom_line(aes(group=Names)) +
geom_text_repel(size=3, color="red") +
theme_classic()
另一种方法是转动图并在y轴上显示名称。
ggplot(dl, aes(x= value, y=Var1, col = factor(Var2))) + geom_point() + theme_bw()
您还可以尝试对数据进行中值标准化,以便更好地比较个体。