gpt4 book ai didi

r - 每次从宽到长的多个小节

转载 作者:行者123 更新时间:2023-12-03 20:18:50 25 4
gpt4 key购买 nike

我知道宽到长在这里被问了太多次,但我不知道如何将以下内容转换为长格式。拍摄我什至要求其中一个从宽到长,并在 SO 上重复 2 次测量。我对无法转换数据感到沮丧。我怎么能把这个(可变顺序无关紧要):

      id trt    work.T1   play.T1   talk.T1   total.T1    work.T2    play.T2   talk.T2  total.T2
1 x1.1 cnt 0.34434350 0.7841665 0.1079332 0.88803151 0.64836951 0.87954320 0.7233519 0.5630988
2 x1.2 tr 0.06132255 0.8426960 0.3338658 0.04685878 0.23478670 0.19711687 0.5164015 0.7617968
3 x1.3 tr 0.36897981 0.1834721 0.3241316 0.76904051 0.07629721 0.06945971 0.4118995 0.7452974
4 x1.4 tr 0.40759356 0.5285396 0.5654258 0.23022542 0.92309504 0.15733957 0.4132653 0.7078273
5 x1.5 cnt 0.91433676 0.7029476 0.2031782 0.31518412 0.14721669 0.33345678 0.7620444 0.9868082
6 x1.6 tr 0.88870525 0.9132728 0.2197045 0.28266959 0.82239037 0.18006177 0.2591765 0.4516309
7 x1.7 cnt 0.98373218 0.2591739 0.6331153 0.71319565 0.41351839 0.14648269 0.7631898 0.1182174
8 x1.8 tr 0.47719528 0.7926248 0.3525205 0.86213792 0.61252061 0.29057544 0.9824048 0.2386353
9 x1.9 tr 0.69350823 0.6144696 0.8568732 0.10632352 0.06812050 0.93606889 0.6701190 0.4705228
10 x1.10 cnt 0.42574646 0.7006205 0.9507216 0.55032776 0.90413220 0.10246047 0.5899279 0.3523231

进入这个:
      id trt time       work       play      talk      total
1 x1.1 cnt 1 0.34434350 0.78416653 0.1079332 0.88803151
2 x1.2 tr 1 0.06132255 0.84269599 0.3338658 0.04685878
3 x1.3 tr 1 0.36897981 0.18347215 0.3241316 0.76904051
4 x1.4 tr 1 0.40759356 0.52853960 0.5654258 0.23022542
5 x1.5 cnt 1 0.91433676 0.70294755 0.2031782 0.31518412
6 x1.6 tr 1 0.88870525 0.91327276 0.2197045 0.28266959
7 x1.7 cnt 1 0.98373218 0.25917392 0.6331153 0.71319565
8 x1.8 tr 1 0.47719528 0.79262477 0.3525205 0.86213792
9 x1.9 tr 1 0.69350823 0.61446955 0.8568732 0.10632352
10 x1.10 cnt 1 0.42574646 0.70062053 0.9507216 0.55032776
11 x1.1 cnt 2 0.64836951 0.87954320 0.7233519 0.56309884
12 x1.2 tr 2 0.23478670 0.19711687 0.5164015 0.76179680
13 x1.3 tr 2 0.07629722 0.06945971 0.4118995 0.74529740
14 x1.4 tr 2 0.92309504 0.15733957 0.4132653 0.70782726
15 x1.5 cnt 2 0.14721669 0.33345678 0.7620444 0.98680824
16 x1.6 tr 2 0.82239038 0.18006177 0.2591765 0.45163091
17 x1.7 cnt 2 0.41351839 0.14648269 0.7631898 0.11821741
18 x1.8 tr 2 0.61252061 0.29057544 0.9824048 0.23863532
19 x1.9 tr 2 0.06812050 0.93606889 0.6701190 0.47052276
20 x1.10 cnt 2 0.90413220 0.10246047 0.5899279 0.35232307

数据集
id <- paste('x', "1.", 1:10, sep="")
set.seed(10)
DF <- data.frame(id, trt=sample(c('cnt', 'tr'), 10, T), work.T1=runif(10),
play.T1=runif(10), talk.T1=runif(10), total.T1=runif(10),
work.T2=runif(10), play.T2=runif(10), talk.T2=runif(10),
total.T2=runif(10))

先感谢您!

编辑: 当我使用 set.seed 时发生了一些奇怪的事情(当然是我做的一个错误)。如果您使用 set.seed(10) ,上面的实际数据不是您将获得的数据。我将错误保留为历史准确性,它确实不会影响人们给出的解决方案。

最佳答案

这非常接近,更改列的名称应该在您的技能范围内:

reshape(DF, 
varying=c(work= c(3, 7), play= c(4,8), talk= c(5,9), total= c(6,10) ),
direction="long")

编辑:添加一个几乎是精确解决方案的版本:
reshape(DF, varying=list(work= c(3, 7), play= c(4,8), talk= c(5,9), total= c(6,10) ), 
v.names=c("Work", "Play", "Talk", "Total"),
# that was needed after changed 'varying' arg to a list to allow 'times'
direction="long",
times=1:2, # substitutes number for T1 and T2
timevar="times") # to name the time col

关于r - 每次从宽到长的多个小节,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/9684671/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com