How to convert columns of an R data frame into a single vector?

Sometimes all the columns in a data frame have similar data characteristics representing a particular variable. For example, having a data frame containing five columns each with heights of people. To convert this type of data frame into a vector we can use as.vector function along with the as.matrix function. The as.matrix will read the data frame columns so that the array of values can be created.

Example1

y1<−sample(LETTERS[1:26],20)
y2<−sample(LETTERS[1:26],20)
y3<−sample(LETTERS[1:26],20)
y4<−sample(LETTERS[1:26],20)
df2<−data.frame(y1,y2,y3,y4)
df2

Output

  y1 y2 y3 y4
1  G V P Y
2  A J N A
3  E L X L
4  K E B O
5  P Z O E
6  W T T Z
7  X N J U
8  L D L J
9  U U Z X
10 Y B A F
11 F M W I
12 Q P F B
13 T Y H M
14 H C K T
15 I F Y W
16 N G G H
17 R A M K
18 S K E G
19 C O U Q
20 O W D V

Converting df2 to a vector −

Example

df2_vector<−as.vector(as.matrix(df2[,c("y1","y2","y3","y4")]))
df2_vector

Output

[1] "G" "A" "E" "K" "P" "W" "X" "L" "U" "Y" "F" "Q" "T" "H" "I" "N" "R" "S" "C"
[20] "O" "V" "J" "L" "E" "Z" "T" "N" "D" "U" "B" "M" "P" "Y" "C" "F" "G" "A" "K"
[39] "O" "W" "P" "N" "X" "B" "O" "T" "J" "L" "Z" "A" "W" "F" "H" "K" "Y" "G" "M"
[58] "E" "U" "D" "Y" "A" "L" "O" "E" "Z" "U" "J" "X" "F" "I" "B" "M" "T" "W" "H"
[77] "K" "G" "Q" "V"