用上述值填充分类变量中的NA值,同时在R中保留其他行值
编辑: sujmshyftw的答案适用于下面的示例代码,但值得指出的是,在实际有效部署fill之前,需要使用arrange 原始问题 一些印度议会选区AC选举数据的片段与相关问题如下所示:用上述值填充分类变量中的NA值,同时在R中保留其他行值,r,dplyr,R,Dplyr,编辑: sujmshyftw的答案适用于下面的示例代码,但值得指出的是,在实际有效部署fill之前,需要使用arrange 原始问题 一些印度议会选区AC选举数据的片段与相关问题如下所示: AC_elections <- structure(list(ST_NAME = c("Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat"
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")
但我怀疑有一个更高效、更优雅的解决方案。我想知道是否有类似于zoo中的na.fill函数的东西适用于这种情况。请注意,带有NA的行的行号不遵循原始数据集中的相关AC_编号
谢谢你的提示 可能是填充功能
AC_election = AC_elections %>% fill(DIST_NAME, UR_TYPE)
这给了你
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
非常感谢。我知道这很简单。。。!现在我可以看到有类似的问题,但他们没有出现在我的搜索。。。
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