如何通过特定 ID 撤消 R 中的累积值？

Question

我有一个数据集，其中每一行包含女性每年累计的后代数量。有些人从一年到下一年都死了。

 Year    ID Sex      AccumulatedFecundity
     1  2411 female   29
     1   583 female   30
     1   469 female   147
     2  2290 female   161
     2   583 female   169
     2   788 female   27

我想撤消这个积累并获得原始值。在我的示例中，女性 583 的第二次出现应获得原始值 139 (169-30)。

Answer 1

我们可以按 'ID' 和 'Sex'

分组 diff

library(dplyr)
df1 %>%
   group_by(ID, Sex) %>%
   mutate(old = c(first(AccumulatedFecundity), diff(AccumulatedFecundity))) %>%
   ungroup

-输出

# A tibble: 6 x 5
#   Year    ID Sex    AccumulatedFecundity   old
#  <int> <int> <chr>                 <int> <int>
#1     1  2411 female                   29    29
#2     1   583 female                   30    30
#3     1   469 female                  147   147
#4     2  2290 female                  161   161
#5     2   583 female                  169   139
#6     2   788 female                   27    27

数据

df1 <- structure(list(Year = c(1L, 1L, 1L, 2L, 2L, 2L), ID = c(2411L, 
583L, 469L, 2290L, 583L, 788L), Sex = c("female", "female", "female", 
"female", "female", "female"), AccumulatedFecundity = c(29L, 
30L, 147L, 161L, 169L, 27L)), class = "data.frame", row.names = c(NA, 
-6L))

如何通过特定 ID 撤消 R 中的累积值？

How to undo accumulated values in R by specifc IDs?

r

dataframe

accumulate

数据