我需要一步重塑 R 中的data.frame 。简而言之,对象值的变化(x1 到 x6)逐行可见(从 1990 年到 1995 年):
> tab1[1:10, ] # raw data see plot for tab1
id value year
1 x1 7 1990
2 x1 10 1991
3 x1 11 1992
4 x1 7 1993
5 x1 3 1994
6 x1 1 1995
7 x2 6 1990
8 x2 7 1991
9 x2 9 1992
10 x2 5 1993
我可以一步一步地进行重塑,有人知道如何一步一步完成吗?
原始数据 表 1 - 看到所有时间序列的最小值为“0”
步骤 1: 表 2 - 重新调整每个时间序列的最小值等于“0”。 所有时间都落在 x 轴上。
步骤 2:
表 3 -diff()
在每个时间轴上应用函数。
第3 步:
表 4 -sort()
在每个时间序列上应用函数。
我希望图片足够清晰,可以理解每个步骤。
所以决赛桌看起来像这样:
> tab4[1:10, ]
id value time
1 x1 -4 1
2 x1 -4 2
3 x1 -2 3
4 x1 1 4
5 x1 3 5
6 x2 -4 1
7 x2 -3 2
8 x2 1 3
9 x2 1 4
10 x2 2 5
# Source data:
tab1 <- data.frame(id = rep(c("x1","x2","x3","x4","x5","x6"), each = 6),
value = c(7,10,11,7,3,1,6,7,9,5,2,3,11,9,7,9,1,
0,1,2,2,4,7,4,2,3,1,6,4,2,3,5,4,3,5,6),
year = rep(c(1990:1995), times = 6))
tab2 <- data.frame(id = rep(c("x1","x2","x3","x4","x5","x6"), each = 6),
value = c(6,9,10,6,2,0,4,5,7,3,0,1,11,9,7,9,1,0,
0,1,1,3,6,3,1,2,0,5,3,1,0,2,1,0,2,3),
year = rep(c(1990:1995), times = 6))
tab3 <- data.frame(id = rep(c("x1","x2","x3","x4","x5","x6"), each = 5),
value = c(3,1,-4,-4,-2,1,2,-4,-3,1,-2,-2,2,-8,-1,
1,0,2,3,-3,1,-2,5,-2,-2,2,-1,-1,2,1),
time = rep(c(1:5), times = 6))
tab4 <- data.frame(id = rep(c("x1","x2","x3","x4","x5","x6"), each = 5),
value = c(-4,-4,-2,1,3,-4,-3,1,1,2,-8,-2,-2,-1,2,
-3,0,1,2,3,-2,-2,-2,1,5,-1,-1,1,2,2),
time = rep(c(1:5), times = 6))