Reputation: 60084
I have a data.frame
'data.frame': 4 obs. of 2 variables:
$ name:List of 4
..$ : chr "a"
..$ : chr "b"
..$ : chr "c"
..$ : chr "d"
$ tvd :List of 4
..$ : num 0.149
..$ : num 0.188
..$ : num 0.161
..$ : num 0.187
structure(list(name = list("a", "b", "c",
"d"), tvd = list(0.148831029536996, 0.187699857380692,
0.161428147003292, 0.18652668961466)), .Names = c("name",
"tvd"), row.names = c(NA, -4L), class = "data.frame")
It appears that as.data.frame(lapply(z,unlist))
converts it to the usual
'data.frame': 4 obs. of 2 variables:
$ name: Factor w/ 4 levels "a",..: 4 1 2 3
$ tvd : num 0.149 0.188 0.161 0.187
However, I wonder if I could do better. I create my ugly data frame like this:
as.data.frame(do.call(rbind,lapply(my.list, function (m)
list(name = ...,
tvd = ...))))
I wonder if it is possible to modify this expressing so that it would produce the normal data table.
Upvotes: 8
Views: 8961
Reputation: 99391
It looks like you're just trying to tear down your original data then re-assemble it? If so, here are a few cool things to look at. Assume df
is your data.
A data.frame
is just a list in disguise. To see this, compare df[[1]]
to df$name
in your data. [[
is used for list indexing, as well as $
. So we are actually viewing a list item when we use df$name
on a data frame.
> is.data.frame(df) # df is a data frame
# [1] TRUE
> is.list(df) # and it's also a list
# [1] TRUE
> x <- as.list(df) # as.list() can be more useful than unlist() sometimes
# take a look at x here, it's a bit long
> (y <- do.call(cbind, x)) # reassemble to matrix form
# name tvd
# [1,] "a" 0.148831
# [2,] "b" 0.1876999
# [3,] "c" 0.1614281
# [4,] "d" 0.1865267
> as.data.frame(y) # back to df
# name tvd
# 1 a 0.148831
# 2 b 0.1876999
# 3 c 0.1614281
# 4 d 0.1865267
Upvotes: 3
Reputation: 206606
I recommend doing
do.call(rbind,lapply(my.list, function (m)
data.frame(name = ...,
tvd = ...)))
rather than trying to convert a list of lists into a data.frame
Upvotes: 2