我有六只鹦鹉鸟,"Beefy", "Scoundrel", "Baston", "Mattdamon", "Jesus", and "Hulkhogan"
。这些鸟很多,并且在很多不同的地方。我已经决定追踪过去两周内这种情况发生的地点和频率,我试图找出这些小恶魔今天最多的地方。
mydata <- data.frame(Dates = structure(c(16656, 16657, 16658, 16659,
16660, 16661, 16662, 16663,
16664, 16665, 16666, 16667,
16668, 16669
),
class = "Date"),
PooLoc1 = sample(1:40, 7),
PooLoc2 = sample(1:10, 7),
PooLoc3 = sample(1:10, 7),
PooLoc4 = sample(1:30, 7),
PooLoc5 = sample(1:20, 7),
PooLoc6 = sample(1:70, 7)
)
head(mydata)
Dates PooLoc1 PooLoc2 PooLoc3 PooLoc4 PooLoc5 PooLoc6
2015-08-09 24 3 9 1 16 45
2015-08-10 39 2 2 12 12 2
2015-08-11 14 7 6 5 19 4
2015-08-12 26 9 8 27 3 64
2015-08-13 20 4 1 15 20 48
2015-08-14 9 1 4 8 8 61
我可以按列日期订购mydata
行,以便轻松找到今天的poos:
mydata <- mydata[order(mydata[["Dates"]], decreasing = TRUE), ]
但是,如何按今天的日期获得的值对列进行排序,以便我可以快速查看mydata
的左上角并找到问题的答案?你能用一行吗?
答案 0 :(得分:3)
我认为这可能是你想要的。我们只是按第一行排序列(第二行到第二行)。
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现在,左上角的值具有今天日期的最高值。
根据评论中的请求,我们可以使用
在一次调用中订购行和列mydata[, c(1, order(mydata[1, -1], decreasing = TRUE) + 1)]
# Dates PooLoc6 PooLoc1 PooLoc4 PooLoc5 PooLoc3 PooLoc2
# 6 2015-08-14 61 9 8 8 4 1
# 5 2015-08-13 48 20 15 20 1 4
# 4 2015-08-12 64 26 27 3 8 9
# 3 2015-08-11 4 14 5 19 6 7
# 2 2015-08-10 2 39 12 12 2 2
# 1 2015-08-09 45 24 1 16 9 3