R将宽数据重塑为长

Question

我有以下数据框，它为跨列排列的许多标准提供了逻辑响应：

    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")

我需要重新调整这些数据，使我只有三列：Householdref, TRUE and FALSE，以便列名现在出现在 TRUE 或 FALSE 列中，这样每个 Householdref 就会有多行。

我一直在试验reshape()，如下：

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

但最终是这样的：

                                 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

所以你可以看到并不完全是我所追求的。我已经到处搜索了一个可以向我展示如何做我想做的事情的例子，并且确信它并不过分复杂，但我只是在绕圈子。有人知道实现我想要的快速简便的方法吗，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

提前致谢，

马蒂

Answer 1

您可以使用“reshape2”中的melt 和dcast 来获得（我认为的）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