DT <- fread(
"ID country year Event_A Event_B Event_A_succ Event_B_succ
4 NLD 2002 0 1 0 0
5 NLD 2002 0 1 0 1
6 NLD 2006 1 1 1 1
7 NLD 2006 1 0 1 0
8 NLD 2006 1 1 0 0
9 GBR 2002 0 1 0 0
10 GBR 2002 0 0 0 0
11 GBR 2002 0 1 0 1
12 GBR 2006 1 1 1 1
13 GBR 2006 1 1 0 1",
header = TRUE)
我想将Event_X和Event_X_succ列投射到该行上而不求和，从而创建新行。我了解到here，可以按如下方式对
Event_A和Event_B执行此操作：
library(data.table) melt(DT, id.var = setdiff(names(DT), c("Event_A", "Event_B")), value.name = 'Event')[, variable := NULL][order(ID)]
或（@IceCreamToucan）：
melt(DT, measure.vars = c("Event_A", "Event_B"), value.name = 'Event')[, variable := NULL][order(ID)]
但是我想基于另外两列Event_succ和Event_A_Succ添加第二个值名称Event_B_Succes，并以相同的方式扩展它们。所需的输出：
DT <- fread( "ID country year Event Event_succ 4 NLD 2002 0 0 4 NLD 2002 1 0 5 NLD 2002 0 0 5 NLD 2002 1 1 6 NLD 2006 1 1 6 NLD 2006 1 1 7 NLD 2006 1 1 7 NLD 2006 0 0 8 NLD 2006 1 0 8 NLD 2006 0 0 9 GBR 2002 1 0 9 GBR 2002 1 0 10 GBR 2002 0 0 10 GBR 2002 0 0 11 GBR 2002 0 0 12 GBR 2002 1 0 13 GBR 2006 1 1 14 GBR 2006 1 1 15 GBR 2006 1 0 16 GBR 2006 1 1", header = TRUE)
我应该如何解决？
measure和patterns一起使用melt(DT, measure = patterns("Event_[AB]$", "Event_[AB]_succ"),
value.name = c("Event", "Event_succ"))[, variable := NULL][order(ID)]
# ID country year Event Event_succ
# 1: 4 NLD 2002 0 0
# 2: 4 NLD 2002 1 0
# 3: 5 NLD 2002 0 0
# 4: 5 NLD 2002 1 1
# 5: 6 NLD 2006 1 1
# 6: 6 NLD 2006 1 1
# 7: 7 NLD 2006 1 1
# 8: 7 NLD 2006 0 0
# 9: 8 NLD 2006 1 0
#10: 8 NLD 2006 1 0
#11: 9 GBR 2002 0 0
#12: 9 GBR 2002 1 0
#13: 10 GBR 2002 0 0
#14: 10 GBR 2002 0 0
#15: 11 GBR 2002 0 0
#16: 11 GBR 2002 1 1
#17: 12 GBR 2006 1 1
#18: 12 GBR 2006 1 1
#19: 13 GBR 2006 1 0
#20: 13 GBR 2006 1 1