我有以下应急表
structure(list(`1` = structure(c(1L, 1L, 1L, 0L, 1L, 0L), .Dim = 2:3, .Dimnames = structure(list(
c("a", "b"), c("x", "y", "z")), .Names = c("", "")), class = "table"),
`2` = structure(c(1L, 1L, 0L, 1L), .Dim = c(2L, 2L), .Dimnames = structure(list(
c("b", "c"), c("y", "z")), .Names = c("", "")), class = "table")), .Names = c("1", "2"))这个列表有两个应急表,我想把它们合并成一个。我尝试了here的解决方案,但没有成功。它给出了以下错误
> tapply(T,names(T),sum)
Error in FUN(X[[1L]], ...) : invalid 'type' (list) of argument预期输出是
> table(x[[1]],x[[2]])
x y z
a 1 1 1
b 1 1 0
c 0 1 1x在哪里
structure(list(id = c("a", "a", "a", "b", "b", "c", "c"), upc = c("x","y", "z", "x", "y", "z", "y"), sfactor = c("1", "1", "1", "1","2", "2", "2")), .Names = c("id", "upc", "sfactor"), row.names = c(NA, -7L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x25aa378>)任何帮助都很感激。提前谢谢。
发布于 2016-04-06 01:11:15
将表转换为long data.frames,然后收集计数:
xtabs(Freq ~ ., data=do.call(rbind, lapply(L, data.frame) ))
# Var2
#Var1 x y z
# a 1 1 1
# b 1 1 0
# c 0 1 1发布于 2016-04-06 02:52:43
我们还可以在使用dcast对list元素使用rbindlist之后,将list与rbind一起用作sum。
library(data.table)
dcast(rbindlist(lapply(L, as.data.frame)),
Var1~Var2, value.var="Freq", sum)
# Var1 x y z
#1: a 1 1 1
#2: b 1 1 0
#3: c 0 1 1如果我们不希望使用"Var1“列,则可以使用acast (来自reshape2)
library(reshape2)
acast(rbindlist(lapply(L, as.data.frame)),
Var1~Var2, value.var="Freq", sum)
# x y z
# a 1 1 1
# b 1 1 0
# c 0 1 1https://stackoverflow.com/questions/36439661
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