如何在R中的条件下在组内随机抽样

Question

当我尝试生成数据集时，我遇到了障碍。这是我的问题。

我正在使用此代码创建数据集

time0 <- rtruncnorm(100,a = 0, mean = 0.525, sd = 0.925 - 0.525)
Desc(time0)

time0.dat <- data.frame(time = "0", DV= time0)

time1 <- rnorm(100, mean = 10.65, sd = 13.025 - 10.65)
Desc(time1)
time1.dat <- data.frame(time = "1", DV= time1)

time2 <- rnorm(100, mean = 11.025, sd = 14.175 - 11.025)
Desc(time2)
time2.dat <- data.frame(time = "2", DV= time2)

time3 <- rnorm(100, mean = 5.95, sd = 8.175 - 5.95)
Desc(time3)
time3.dat <- data.frame(time = "3", DV= time3)

time4 <- rnorm(100, mean = 3.8, sd = 4.375 - 3.8)
Desc(time4)
time4.dat <- data.frame(time = "4", DV= time4)

time5 <-  rtruncnorm(100,a = 0, mean = 2.075, sd = 2.75 - 2.075)
Desc(time5)
time5.dat <- data.frame(time = "5", DV= time5)

time6 <- rtruncnorm(100,a = 0, mean = 1.225, sd = 1.625 - 1.225) 
Desc(time6)
time6.dat <- data.frame(time = "6", DV= time6)

time7 <- rtruncnorm(100,a = 0, mean = 0.725, sd = 1.05 - 0.725) 
Desc(time7)
time7.dat <- data.frame(time = "7", DV= time7)

time8 <- rtruncnorm(100,a = 0, mean = 0.275, sd = 0.575 - 0.275) 
Desc(time8)
time8.dat <- data.frame(time = "8", DV= time8)

ctdat <- rbind(time0.dat,time1.dat,time2.dat,time3.dat,time4.dat,time5.dat,time6.dat,time7.dat,time8.dat)

我想从每个“时间”中随机采样 1，条件时间为 2 > 时间 3，时间 3> 时间 4 ... 时间 7 > 时间 8。然后对于每个采样时间，我想分配有身份证。

所以采样后我想要的数据集应该是这样的：

谢谢。真的很感激！

Answer 1

这样的事情怎么样：

out <- NULL
nsamples <- 2
untime <- unique(ctdat$time)
j <- 1
while(j <= nsamples){
  tmp <- NULL
  for(i in seq_along(untime)){
    x <- ctdat %>% filter(time == untime[i]) %>% sample_n(1)
    if(untime[i] > 2){
      f <- ctdat %>% filter(time == untime[i] & DV < tmp$DV[(i-1)])
      if(nrow(f) == 0)break
      x <- f %>% sample_n(1)
    }
    tmp <- rbind(tmp, x)
  }
  if(nrow(tmp) == length(untime)){
    tmp$ID <- j
    out <- rbind(out, tmp)
    j <- j+1
  }
}
out <- out %>% select(ID, time, DV)

#    ID time         DV
# 1   1    0  1.2771383
# 2   1    1  6.5078257
# 3   1    2 12.9128808
# 4   1    3  4.1991406
# 5   1    4  4.1933681
# 6   1    5  2.7821423
# 7   1    6  1.1044560
# 8   1    7  0.9538192
# 9   1    8  0.7632612
# 10  2    0  1.1390608
# 11  2    1  8.4283165
# 12  2    2  8.4993436
# 13  2    3  4.0232520
# 14  2    4  3.4199055
# 15  2    5  2.0761036
# 16  2    6  1.1407558
# 17  2    7  0.5703776
# 18  2    8  0.1484522