Question

编辑：

sujmshyftw的答案适用于下面的示例代码，但值得指出的是，在实际有效地部署arrange之前，您需要使用fill

原始问题

一些带有相关问题的印度议会选区（AC）选举数据的摘要如下：

AC_elections <- structure(list(ST_NAME = c("Gujarat", "Gujarat", "Gujarat", "Gujarat", 
"Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", 
"Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh"
), AC_NO = c(44, 45, 46, 47, 48, 159, 160, 161, 162, 163, 204, 
205, 206, 207), DIST_NAME = structure(c(1L, NA, NA, NA, NA, 3L, 
NA, NA, NA, NA, 2L, NA, NA, NA), .Label = c("AHMADABAD", "INDORE", 
"SURAT"), class = "factor"), UR_TYPE = structure(c(1L, NA, NA, 
NA, NA, 1L, NA, NA, NA, NA, 1L, NA, NA, NA), .Label = "Urban", class = "factor"), 
    YEAR = c(2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 
    2012, 2012, 2013, 2013, 2013, 2013), AC_NAME = c("Ellisbridge", 
    "Naranpura", "Nikol", "Naroda", "Thakkarbapa Nagar", "Surat East", 
    "Surat North", "Varachha Road", "Karanj", "Limbayat", "Indore-1", 
    "Indore-2", "Indore-3", "Indore-4"), AC_TYPE = c("GEN", "GEN", 
    "GEN", "GEN", "GEN", "GEN", "GEN", "GEN", "GEN", "GEN", "GEN", 
    "GEN", "GEN", "GEN"), PARTYABBRE = c("BJP", "BJP", "BJP", 
    "BJP", "BJP", "BJP", "BJP", "BJP", "BJP", "BJP", "BJP", "BJP", 
    "BJP", "BJP")), row.names = c(974L, 4131L, 4132L, 4133L, 
4134L, 1077L, 4143L, 4144L, 4145L, 4146L, 2002L, 4151L, 4152L, 
4153L), class = "data.frame")

可以从DIST_NAME值之前的UR_TYPE推导NA和AC_NO中应替换NA值的值。因此，我们可以通过以下方式解决此问题：

AC_elections %>% 
  mutate(
    DIST_NAME = case_when(
       ST_NAME == "Gujarat" & AC_NO > 44 & AC_NO < 49 ~ "Ahmadabad"
       ST_NAME == "Gujarat" & AC_NO > 160 & AC_NO < 164 ~ "Surat"
       ST_NAME == "Madhya Pradesh" & AC_NO > 204 & AC_NO < 208 ~ "Indore"
      ),
  UR_TYPE = case_when (

    <similar code to above>

      )
  )

但是我怀疑有一个更有效，更优雅的解决方案。我想知道na.fill中是否有类似zoo的功能可以在这种情况下使用。请注意，带有NA的行的行号不跟随原始数据集中的相关AC_NO。

感谢任何提示！

Answer 1

也许是fill函数？

AC_election = AC_elections %>% fill(DIST_NAME, UR_TYPE)

给你

            ST_NAME AC_NO DIST_NAME UR_TYPE YEAR           AC_NAME AC_TYPE PARTYABBRE
974         Gujarat    44 AHMADABAD   Urban 2012       Ellisbridge     GEN        BJP
4131        Gujarat    45 AHMADABAD   Urban 2012         Naranpura     GEN        BJP
4132        Gujarat    46 AHMADABAD   Urban 2012             Nikol     GEN        BJP
4133        Gujarat    47 AHMADABAD   Urban 2012            Naroda     GEN        BJP
4134        Gujarat    48 AHMADABAD   Urban 2012 Thakkarbapa Nagar     GEN        BJP
1077        Gujarat   159     SURAT   Urban 2012        Surat East     GEN        BJP
4143        Gujarat   160     SURAT   Urban 2012       Surat North     GEN        BJP
4144        Gujarat   161     SURAT   Urban 2012     Varachha Road     GEN        BJP
4145        Gujarat   162     SURAT   Urban 2012            Karanj     GEN        BJP
4146        Gujarat   163     SURAT   Urban 2012          Limbayat     GEN        BJP
2002 Madhya Pradesh   204    INDORE   Urban 2013          Indore-1     GEN        BJP
4151 Madhya Pradesh   205    INDORE   Urban 2013          Indore-2     GEN        BJP
4152 Madhya Pradesh   206    INDORE   Urban 2013          Indore-3     GEN        BJP
4153 Madhya Pradesh   207    INDORE   Urban 2013          Indore-4     GEN        BJP

用上面的值填充分类变量中的NA值，同时保持R中的其他行值

1 个答案: