在两个公共列上合并多个数据框

Question

在两个公共列上合并多个数据框

我已经看到了一些问题,关于合并的CSV文件到一个数据帧.如果数据框已在工作区中,该怎么办？我有五个广角动物园,我作为数据框投射,然后融化.这是一个头:

> head(df.mon.ssf.ret)
      date variable value
1 2009.000     AA1C    NA
2 2009.083     AA1C    NA
3 2009.167     AA1C    NA
4 2009.250     AA1C    NA
5 2009.333     AA1C    NA
6 2009.417     AA1C    NA

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我可以在"date"和"variable"上将这些与一系列嵌套合并合并,但这看起来很笨拙.是否有更程序化的合并方式？

如果我确信所有动物园中的柱子的顺序相同,我是否可以确信熔化物保持订购和使用cbind？谢谢!

更新:

关于融化的使用理念,我有些遗漏.这是当我合并为一个动物园并使用三个动物园融化成一个非常宽的数据框架时会发生的事情:

> temp <- merge(z.ssf.oi, z.ssf.oig, z.ssf.ret)
> class(temp)
[1] "zoo"
> temp2 <- cbind(index(temp), as.data.frame(temp))
> class(temp2)
[1] "data.frame"
> names(temp2)[1] <- "date"
> dim(temp2)
[1]   12 1204
> temp3 <- melt(temp2, id="date")
Error in data.frame(ids, variable, value) : 
  arguments imply differing number of rows: 12, 14436
> head(temp2)[, 1:5]
             date AA1C.z.ssf.oi AAPL1C.z.ssf.oi ABT1C.z.ssf.oi ABX1C.z.ssf.oi
Jan 2009 Jan 2009      1895.800        49191.25             NA             NA
Feb 2009 Feb 2009      1415.579        42650.26             NA        6267.96
Mar 2009 Mar 2009      1501.398        36712.20             NA       11581.65
Apr 2009 Apr 2009      1752.936        74376.27             NA       12168.29
May 2009 May 2009      1942.874        96307.30             NA       13490.60
Jun 2009 Jun 2009            NA        79170.70             NA       16337.21

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更新2:感谢您的帮助!这是一个非常手动的解决方案

> A <- cbind(index(z.ssf.oi), as.data.frame(z.ssf.oi))
> names(A)[1] <- "date"
> B <- cbind(index(z.ssf.oig), as.data.frame(z.ssf.oig))
> names(B)[1] <- "date"
> C <- cbind(index(z.ssf.ret), as.data.frame(z.ssf.ret))
> names(C)[1] <- "date"
> A.melt <- melt(A, id="date")
> head(A.melt)
      date variable value
1 Jan 2009      A1C    NA
2 Feb 2009      A1C    NA
3 Mar 2009      A1C    NA
4 Apr 2009      A1C    NA
5 May 2009      A1C    NA
6 Jun 2009      A1C    NA
> B.melt <- melt(B, id="date")
> C.melt <- melt(C, id="date")
> ans <- merge(merge(A.melt, B.melt, by=c("date", "variable")), C.melt, by=c("date", "variable"))
> names(ans)[3:5] <- c("oi", "oig", "ret")
> head(ans)
      date variable       oi       oig         ret
1 Apr 2009      A1C       NA        NA          NA
2 Apr 2009     AA1C       NA        NA          NA
3 Apr 2009   AAPL1C 59316.88 0.3375786 0.008600073
4 Apr 2009    ABB1C       NA        NA          NA
5 Apr 2009    ABT1C       NA        NA          NA
6 Apr 2009    ABX1C       NA        NA          NA

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(并且NA来自家中的不完整数据集,需要从我的数据库中过滤拨号)

更新3:这是一些dputs(我拿了每个宽动物园的[1:10,1:10]子集并转换为数据框)

> dput(A)
structure(list(group = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L), class = "factor", .Label = "oi"), date = structure(c(2009, 
2009.08333333333, 2009.16666666667, 2009.25, 2009.33333333333, 
2009.41666666667, 2009.5, 2009.58333333333, 2009.66666666667, 
2009.75), class = "yearmon"), AA1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), AAPL1C = c(49226.391, 42662.1589473684, 35354.4254545455, 
57161.6495238095, 84362.895, NA, NA, 47011.8519047619, 57852.2171428571, 
33058.0090909091), ABT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), 
    ABX1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ACE1C = c(NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_), ACI1C = c(NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_), ACS1C = c(NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_), ADBE1C = c(NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
    ), ADCT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ADI1C = c(NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_)), .Names = c("group", "date", 
"AA1C", "AAPL1C", "ABT1C", "ABX1C", "ACE1C", "ACI1C", "ACS1C", 
"ADBE1C", "ADCT1C", "ADI1C"), row.names = c("Jan 2009", "Feb 2009", 
"Mar 2009", "Apr 2009", "May 2009", "Jun 2009", "Jul 2009", "Aug 2009", 
"Sep 2009", "Oct 2009"), class = "data.frame")
> dput(B)
structure(list(group = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L), class = "factor", .Label = "oig"), date = structure(c(2009.08333333333, 
2009.16666666667, 2009.25, 2009.33333333333, 2009.41666666667, 
2009.5, 2009.58333333333, 2009.66666666667, 2009.75, 2009.83333333333
), class = "yearmon"), AA1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), AAPL1C = c(-0.143117562125788, -0.187888745830302, 0.480459636485712, 
0.389244461579155, NA, NA, NA, 0.207492040517069, -0.559627909130612, 
NA), ABT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ABX1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_), ACE1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), ACI1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ACS1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_), ADBE1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), ADCT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ADI1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_)), .Names = c("group", "date", "AA1C", "AAPL1C", 
"ABT1C", "ABX1C", "ACE1C", "ACI1C", "ACS1C", "ADBE1C", "ADCT1C", 
"ADI1C"), row.names = c("Feb 2009", "Mar 2009", "Apr 2009", "May 2009", 
"Jun 2009", "Jul 2009", "Aug 2009", "Sep 2009", "Oct 2009", "Nov 2009"
), class = "data.frame")
> dput(C)
structure(list(group = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L), class = "factor", .Label = "ret"), date = structure(c(2009, 
2009.08333333333, 2009.16666666667, 2009.25, 2009.33333333333, 
2009.41666666667, 2009.5, 2009.58333333333, 2009.66666666667, 
2009.75), class = "yearmon"), AA1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), AAPL1C = c(-0.143117562125788, -0.187888745830302, 0.480459636485712, 
0.389244461579155, NA, NA, NA, 0.207492040517069, -0.559627909130612, 
NA), ABT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ABX1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_), ACE1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), ACI1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ACS1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_), ADBE1C = c(NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), ADCT1C = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), ADI1C = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
NA_real_, NA_real_)), .Names = c("group", "date", "AA1C", "AAPL1C", 
"ABT1C", "ABX1C", "ACE1C", "ACI1C", "ACS1C", "ADBE1C", "ADCT1C", 
"ADI1C"), row.names = c("Feb 2009", "Mar 2009", "Apr 2009", "May 2009", 
"Jun 2009", "Jul 2009", "Aug 2009", "Sep 2009", "Oct 2009", "Nov 2009"
), class = "data.frame")

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Answer 1

Thi*_*rry 6

你可以试试这个.未经测试,因为您的示例不可重复.如果您想要更好的答案,请为z.sfff.oi,z.sff.oig和z.sff.ret提供一些虚拟数据.您可以使用dput()为可重现的数据集生成代码.

A <- data.frame(Group = "oi", date = as.factor(index(z.ssf.oi),) as.data.frame(z.ssf.oi)))
B <- data.frame(Group = "oig", date = as.factor(index(z.ssf.oig)), as.data.frame(z.ssf.oig)))
C <- data.frame(Group = "ret", date = as.factor(index(z.ssf.ret)), as.data.frame(z.ssf.ret)))
Long <- melt(rbind(A, B, C), id.vars = c("Group", "date")))
cast(date ~ Group, data = Long)

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