我有这个数据框:
year month UserID
1 2014 11 3527
2 2014 12 4916
3 2015 1 2445
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并且想要添加"变体"列:公式为:ActualRow/LastRow - 1.
这是我的代码:
UserID_unicos2 <- UserID_unicos1 %>%
mutate(variation=(UserID/lag(UserID) - 1)) %>%
mutate(prev=lag(UserID))
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但是,它只会返回:
year month UserID variation prev
1 2014 11 3527 NA NA
2 2014 12 4916 0.3938191 3527
3 2015 1 2445 NA NA
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如您所见,它只返回2014-12的值.而不是:2015-01.怎么会?谢谢.
应用"dput()"后的数据:
structure(list(year = c(2014L, 2014L, 2015L), month = c(11L,
12L, 1L), UserID = c(3527L, 4916L, 2445L)), .Names = c("year",
"month", "UserID"), row.names = c(NA, -3L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = list(year), drop = TRUE, indices = list(
0:1, 2L), group_sizes = c(2L, 1L), biggest_group_size = 2L, labels = structure(list(
year = 2014:2015), class = "data.frame", row.names = c(NA,
-2L), .Names = "year", vars = list(year)))
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根据您的说法dput,您的数据按分组排列year,这就是您看到此结果的原因.试试这个:
UserID_unicos1 %>%
ungroup() %>%
mutate(variation=(UserID/lag(UserID) - 1),
prev=lag(UserID))
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另请注意,您可以在mutate逗号分隔的同一列中创建两列.