A relatively simple question, but the answer seems to have eluded me. Currently, I have a data frame which looks similar to this:
一个相对简单的问题,但答案似乎没有找到我。目前,我有一个类似于这样的数据框:
0 0 0 1 1
0 1 0 1 1
2 1 1 0 3
I'm trying to turn this into a single line of data, by rows. I used the unlist
function, and it did what I wanted, but gave them to me by columns. It gave me this:
我试图通过行将其转换为单行数据。我使用了unlist功能,它完成了我想要的功能,但是按列给了我。它给了我这个:
0,0,2,0,1,1,0,0,1,1,1,0,1,1,3
but what I want is this:
但我想要的是这个:
0,0,0,1,1,0,1,0,1,1,2,1,1,0,3
I apologize if this seems like a silly question, but I'm still a novice with R. Any help (or referrals to functions which might help me process this) would be greatly appreciated.
如果这看起来像一个愚蠢的问题我很抱歉,但我仍然是R的新手。任何帮助(或推荐可能帮助我处理这些功能的函数)都将非常感激。
2 个解决方案
#1
15
We can take the transpose (t
) of the dataset and then use c
to get a vector output
我们可以采用数据集的转置(t),然后使用c来获得矢量输出
c(t(df1))
#[1] 0 0 0 1 1 0 1 0 1 1 2 1 1 0 3
By doing transpose, we convert the 'data.frame' to 'matrix'. In both data.frame
or matrix
, unlist/c
operations happen columnwise. So, transposing swaps the columns for rows and viceversa and we get the expected result.
通过转置,我们将'data.frame'转换为'matrix'。在data.frame或matrix中,unlist / c操作按列发生。因此,转置交换列的行和反之,我们得到预期的结果。
#2
0
You can try also as.vector()
:
你也可以尝试as.vector():
x<-matrix(c(0,0,2,0,1,1,0,0,1,1,1,0,1,1,3),3,5)
x
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 1 1
[2,] 0 1 0 1 1
[3,] 2 1 1 0 3
as.vector(t(x))
[1] 0 0 0 1 1 0 1 0 1 1 2 1 1 0 3
#1
15
We can take the transpose (t
) of the dataset and then use c
to get a vector output
我们可以采用数据集的转置(t),然后使用c来获得矢量输出
c(t(df1))
#[1] 0 0 0 1 1 0 1 0 1 1 2 1 1 0 3
By doing transpose, we convert the 'data.frame' to 'matrix'. In both data.frame
or matrix
, unlist/c
operations happen columnwise. So, transposing swaps the columns for rows and viceversa and we get the expected result.
通过转置,我们将'data.frame'转换为'matrix'。在data.frame或matrix中,unlist / c操作按列发生。因此,转置交换列的行和反之,我们得到预期的结果。
#2
0
You can try also as.vector()
:
你也可以尝试as.vector():
x<-matrix(c(0,0,2,0,1,1,0,0,1,1,1,0,1,1,3),3,5)
x
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 1 1
[2,] 0 1 0 1 1
[3,] 2 1 1 0 3
as.vector(t(x))
[1] 0 0 0 1 1 0 1 0 1 1 2 1 1 0 3