我正在寻找有关如何获取长数据集并将其扩展的帮助，但也有一些总结。
我的数据集通常看起来像这样（我是SO的新手，很抱歉，如果我的格式不符合标准！）：
structure(list(StateSenatorialDistrict = c(41L, 14L, 30L, 38L,
43L, 37L, 20L, 45L, 37L, 44L), CandidateOfficeCode = structure(c(2L,
5L, 2L, 5L, 4L, 3L, 1L, 4L, 1L, 1L), .Label = c("ATT", "AUD",
"STH", "TRE", "USP"), class = "factor"), CandidateLastName = structure(c(4L,
2L, 1L, 3L, 9L, 5L, 7L, 8L, 7L, 6L), .Label = c("BROWN", "CASTLE",
"CLINTON", "DEPASQUALE", "MILLER", "RAFFERTY", "SHAPIRO", "TORSELLA ",
"VOIT"), class = "factor"), CandidateParty = structure(c(2L,
1L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L), .Label = c("CON", "DEM",
"REP"), class = "factor"), VoteTotal = c(256L, 3L, 202L, 188L,
18L, 402L, 251L, 383L, 156L, 761L)), .Names = c("StateSenatorialDistrict",
"CandidateOfficeCode", "CandidateLastName", "CandidateParty",
"VoteTotal"), row.names = c(30901L, 115192L, 41264L, 1389L, 21982L,
29827L, 192288L, 20019L, 12803L, 60823L), class = "data.frame")
它是宾夕法尼亚州区级投票数据的数据集。
StateSenatorialDistrict CandidateOfficeCode CandidateLastName CandidateParty VoteTotal
41 AUD DEPASQUALE DEM 256
14 USP CASTLE CON 3
30 AUD BROWN REP 202
38 USP CLINTON DEM 188
43 TRE VOIT REP 18
37 STH MILLER DEM 402
20 ATT SHAPIRO DEM 251
45 TRE TORSELLA DEM 383
37 ATT SHAPIRO DEM 156
44 ATT RAFFERTY REP 761
还有更多列，但出于此目的，这些都很好。
我希望获取这些数据并对其进行总结，以便每个参议院区获得一行，并在每行上选择其他数据。想法结果看起来像这样（这里的数据是弥补的 - 它不是基于以上所述）：
StateSenatorialDistrict SenateRepLastName SenateDemLastName SenateRepVoteTotal SenateDemVoteTotal ClintonVotes TrumpVotes
41 BOZO SMITH 250 300 1000 2000
42 JOHNSON CARTER 2012 237 1350 1000
53 ARCHIBALD BISHOP 350 500 5000 3000
在任何给定的行上，您知道候选人是参议员b / c他们的CandidateOfficeCode是STS;你知道他们是他们党的民主党或众议员，即REP或DEM。
我知道我可以聚合数据，然后尝试将其转换为宽格式，但这留下了一个非常宽的表，每个候选名称都是一列（并且没有关于办公室或派对的信息）：
senateDistricts2016 <- aggregate(VoteTotal ~ StateSenatorialDistrict + CandidateOfficeCode + CandidateFirstName + CandidateLastName + CandidateParty, data=votes2016[votes2016$CandidateOfficeCode %in% c("USP", "STS"),], FUN="sum")
wideSenate <- dcast(senateDistricts2016, StateSenatorialDistrict ~ CandidateLastName)
有一种简单的方法吗？如果没有，想到一个难以做到这一点的方法吗？
提前致谢。如果我的问题没有意义，请告诉我 - 我很乐意编辑。
编辑：
我不相信这是一个骗局。我不只是试图让我的数据更广泛，而是在它变宽时总结它，所以它并不是不合适的。我最终做了一系列聚合然后合并：
senateDs <- aggregate(VoteTotal ~ StateSenatorialDistrict + CandidateName, data=votes2016[votes2016$CandidateOfficeCode=="STS" & votes2016$CandidateParty=="DEM",], FUN="sum")
senateRs <- aggregate(VoteTotal ~ StateSenatorialDistrict + CandidateName, data=votes2016[votes2016$CandidateOfficeCode=="STS" & votes2016$CandidateParty=="REP",], FUN="sum")
senateTotalVotes <- aggregate(VoteTotal ~ StateSenatorialDistrict, data=votes2016[votes2016$CandidateOfficeCode=="STS",], FUN="sum")
senateVotes <- merge(senateDs,senateRs, by="StateSenatorialDistrict", all=TRUE)
senateVotes <- merge(senateVotes, senateTotalVotes, by="StateSenatorialDistrict", all=TRUE)
# now aggregate the presidential votes for Rs, Ds, and Total votes and combine
senatePresD <- aggregate(VoteTotal ~ StateSenatorialDistrict, data=votes2016[votes2016$CandidateOfficeCode=="USP" & votes2016$CandidateParty=="DEM",], FUN="sum")
senatePresR <- aggregate(VoteTotal ~ StateSenatorialDistrict, data=votes2016[votes2016$CandidateOfficeCode=="USP" & votes2016$CandidateParty=="REP",], FUN="sum")
senatePresTotalVotes <- aggregate(VoteTotal ~ StateSenatorialDistrict, data=votes2016[votes2016$CandidateOfficeCode=="USP",], FUN="sum")
senateVotes <- merge(senateVotes,senatePresD, by="StateSenatorialDistrict", all=TRUE)
senateVotes <- merge(senateVotes,senatePresR, by="StateSenatorialDistrict", all=TRUE)
senateVotes <- merge(senateVotes, senatePresTotalVotes, by="StateSenatorialDistrict", all=TRUE)
setnames(senateVotes, c("StateSenatorialDistrict", "DCandidate","DVotes","RCandidate","RVotes", "TotalSenatorVotes", "PresDVotes", "PresRVotes","TotalPresVotes"))