R重塑寬數據至長數據

Question

我有以下數據框，它對跨列排列的多個條件給出了邏輯響應：

    structure(list(Householdref = c("003015002024001", "003016003006001", 
"003016004013001", "003016006002001", "003017003009002", "003017003009003", 
"003017003009004", "003017003037001", "003017003049001", "003070001026001", 
"003070003042001", "003070005002001", "003070005021001", "003070009005001", 
"003071002055001", "003071003037001", "003072003029001", "003072006002001", 
"003072006018001"), B5_Glass = c(FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), B5_Glass.bottles = c(TRUE, 
TRUE, FALSE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE, 
TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE), B5_Paper.cardboard = c(FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE
), B5_Metal.cans = c(TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, 
FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, 
TRUE, TRUE, TRUE), B5_Food.biodegradables = c(FALSE, FALSE, FALSE, 
TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), B5_Plastic.polybags = c(TRUE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE
), B5_Plastic.bottles.containers = c(FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, 
FALSE, TRUE, FALSE, FALSE, FALSE), B5_other = c(FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE)), .Names = c("Householdref", 
"B5_Glass", "B5_Glass.bottles", "B5_Paper.cardboard", "B5_Metal.cans", 
"B5_Food.biodegradables", "B5_Plastic.polybags", "B5_Plastic.bottles.containers", 
"B5_other"), row.names = c("13", "21", "25", "29", "55", "56", 
"57", "60", "61", "69", "76", "81", "83", "90", "101", "108", 
"120", "125", "127"), class = "data.frame")

我需要重塑該數據，以便只有三列： Householdref, TRUE and FALSE以便列名現在出現在TRUE或FALSE列中，以便每個Householdref都有多個行。

我一直在嘗試reshape() ，如下所示：

reshape(ar_waste_sep, direction="long", varying=2:9, sep=c("_"))

但最終結果是：

                                 Householdref                       time  B5   id
1.Glass                       003015002024001                      Glass FALSE  1
2.Glass                       003016003006001                      Glass FALSE  2
3.Glass                       003016004013001                      Glass FALSE  3
4.Glass                       003016006002001                      Glass FALSE  4
5.Glass                       003017003009002                      Glass FALSE  5
6.Glass                       003017003009003                      Glass FALSE  6
7.Glass                       003017003009004                      Glass FALSE  7
8.Glass                       003017003037001                      Glass FALSE  8
9.Glass                       003017003049001                      Glass FALSE  9
10.Glass                      003070001026001                      Glass FALSE 10
11.Glass                      003070003042001                      Glass FALSE 11
12.Glass                      003070005002001                      Glass FALSE 12

因此，正如您所看到的，我不太滿意。 我在高低處搜索了一個示例，該示例將向我展示如何做我想做的事情，並確保它並不過分復雜，只是繞圈而行。 有人會知道一種快速簡便的方法來實現我想要的嗎，即：

  Householdref                       TRUE          FALSE
003015002024001                      Glass          NA
003015002024001                      Glass.bottles  NA
003015002024001                      NA             Paper.cardboard
003015002024001                      NA             Metal.cans
003015002024001                      NA             Plastic.bottles
003015002024001                      NA             Plastic
003017003009004                      GLass          NA
003017003009004                      NA             Glass.bottles                
003017003009004                      Paper.cardboardNA

提前致謝，

馬蒂

Answer 1

您可以使用“ reshape2”中的melt和dcast獲得（我認為）您想要的：

library(reshape2)
mydf <- melt(ar_waste_sep, id.vars="Householdref")
head(mydf)
#      Householdref variable value
# 1 003015002024001 B5_Glass FALSE
# 2 003016003006001 B5_Glass FALSE
# 3 003016004013001 B5_Glass FALSE
# 4 003016006002001 B5_Glass FALSE
# 5 003017003009002 B5_Glass FALSE
# 6 003017003009003 B5_Glass FALSE
out <- dcast(mydf, Householdref + variable ~ value, value.var="variable")
head(out)
#      Householdref               variable                  FALSE                TRUE
# 1 003015002024001               B5_Glass               B5_Glass                <NA>
# 2 003015002024001       B5_Glass.bottles                   <NA>    B5_Glass.bottles
# 3 003015002024001     B5_Paper.cardboard     B5_Paper.cardboard                <NA>
# 4 003015002024001          B5_Metal.cans                   <NA>       B5_Metal.cans
# 5 003015002024001 B5_Food.biodegradables B5_Food.biodegradables                <NA>
# 6 003015002024001    B5_Plastic.polybags                   <NA> B5_Plastic.polybags