I have this named vector:
x <- 1:5
names(x) <- c('0 15', '1 15', '2 15', '0 16', '1 16')
What is the best way to convert x
to this dataframe:
xDF <- data.frame(V1 = c(0, 1, 2, 0, 1), V2 = c(15, 15, 15, 16, 16), V3 = 1:5)
enframe() converts named atomic vectors or lists to one- or two-column data frames. For a list, the result will be a nested tibble with a column of type list . For unnamed vectors, the natural sequence is used as name column.
Convert List to DataFrame using data. data. frame() is used to create a DataFrame in R that takes a list, vector, array, etc as arguments, Hence, we can pass a created list to the data. frame() function to convert list to DataFrame. It will store the elements in a single row in the DataFrame.
Here's a very direct approach:
cbind(read.table(text = names(x)), x)
V1 V2 x
0 15 0 15 1
1 15 1 15 2
2 15 2 15 3
0 16 0 16 4
1 16 1 16 5
In this case, read.table
will automatically take care of splitting your names(x)
component (by default, by space, but other characters could be specified if necessary).
You can also set the name for x
directly in cbind
:
cbind(read.table(text = names(x)), V3 = x)
A more direct approach would be to use cSplit
from my "splitstackshape" package, like this:
library(splitstackshape)
cSplit(stack(x), "ind", " ")
I'd do something like this:
res = data.frame(cbind(do.call('rbind', strsplit(names(x), " ")), x))
res
V1 V2 x
0 15 0 15 1
1 15 1 15 2
2 15 2 15 3
0 16 0 16 4
1 16 1 16 5
Do mind that the data types are not correct yet, the first two columns are factor
's.
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