Create a Vector of Data Frame Values by Rows in R

To create a vector of data frame values by rows we can use c function after transposing the data frame with t. For example, if we have a data frame df that contains many columns then the df values can be transformed into a vector by using c(t(df)), this will print the values of the data frame row by row.

Example1

 Live Demo

set.seed(798)
x1<−rnorm(20,5,2)
x2<−rnorm(20,5,3)
df1<−data.frame(x1,x2)
df1

Output

      x1       x2
1 2.786103 −3.098242
2 8.533086 5.943967
3 10.291147 5.841057
4 5.449163 3.989173
5 5.810170 6.463880
6 4.479613 8.594108
7 7.569711 2.420207
8 8.058095 4.875600
9 3.827098 5.239763
10 5.807293 6.416752
11 4.431298 5.827411
12 4.140034 4.705993
13 6.643332 1.450062
14 1.787068 11.405792
15 5.356992 5.258035
16 5.027659 6.665030
17 3.617873 4.955072
18 8.190755 2.514271
19 4.675561 6.849762
20 10.532212 6.050328
Vector_df1<−c(t(df1))
Vector_df1
[1] 2.786103 −3.098242 8.533086 5.943967 10.291147 5.841057 5.449163
[8] 3.989173 5.810170 6.463880 4.479613 8.594108 7.569711 2.420207
[15] 8.058095 4.875600 3.827098 5.239763 5.807293 6.416752 4.431298
[22] 5.827411 4.140034 4.705993 6.643332 1.450062 1.787068 11.405792
[29] 5.356992 5.258035 5.027659 6.665030 3.617873 4.955072 8.190755
[36] 2.514271 4.675561 6.849762 10.532212 6.050328
is.vector(Vector_df1)
[1] TRUE

Example2

 Live Demo

y1<−rpois(20,10)
y2<−rpois(20,5)
y3<−rpois(20,3)
df2<−data.frame(y1,y2,y3)
df2

Output

y1 y2 y3
1 6 7 1
2 7 7 4
3 16 6 3
4 12 4 4
5 9 4 3
6 10 3 4
7 8 4 1
8 12 4 0
9 9 4 4
10 15 4 5
11 4 6 5
12 10 4 2
13 8 9 2
14 7 4 5
15 9 7 3
16 8 3 7
17 9 6 3
18 6 3 3
19 11 6 7
20 7 2 0
Vector_df2<−c(t(df2))
Vector_df2
[1] 6 7 1 7 7 4 16 6 3 12 4 4 9 4 3 10 3 4 8 4 1 12 4 0 9
[26] 4 4 15 4 5 4 6 5 10 4 2 8 9 2 7 4 5 9 7 3 8 3 7 9 6
[51] 3 6 3 3 11 6 7 7 2 0
is.vector(Vector_df2)
[1] TRUE

Example3

z1<−letters[1:20]
z2<−rexp(20,1.98)
z3<−runif(20,1,5)
df3<−data.frame(z1,z2,z3)
df3

Output

   z1       z2       z3
1 a 0.30649942 2.581508
2 b 0.49573688 1.005800
3 c 0.32632915 1.582261
4 d 0.16866850 2.364847
5 e 0.49920925 4.822604
6 f 0.48753521 2.516127
7 g 1.11453076 1.369764
8 h 0.03852521 3.055764
9 i 0.43320666 4.336745
10 j 1.53110506 1.253256
11 k 1.02885841 3.401008
12 l 0.93749136 1.272466
13 m 0.05544727 1.839311
14 n 0.06982751 3.857567
15 o 0.03554147 2.816643
16 p 0.27870340 4.920266
17 q 0.30576924 1.781030
18 r 0.13628651 2.365232
19 s 1.23068290 4.879601
20 t 0.31617628 1.026273
Vector_df3<−c(t(df3))
Vector_df3
[1] "a" "0.30649942" "2.581508" "b" "0.49573688"
[6] "1.005800" "c" "0.32632915" "1.582261" "d"
[11] "0.16866850" "2.364847" "e" "0.49920925" "4.822604"
[16] "f" "0.48753521" "2.516127" "g" "1.11453076"
[21] "1.369764" "h" "0.03852521" "3.055764" "i"
[26] "0.43320666" "4.336745" "j" "1.53110506" "1.253256"
[31] "k" "1.02885841" "3.401008" "l" "0.93749136"
[36] "1.272466" "m" "0.05544727" "1.839311" "n"
[41] "0.06982751" "3.857567" "o" "0.03554147" "2.816643"
[46] "p" "0.27870340" "4.920266" "q" "0.30576924"
[51] "1.781030" "r" "0.13628651" "2.365232" "s"
[56] "1.23068290" "4.879601" "t" "0.31617628" "1.026273"
is.vector(Vector_df3)
[1] TRUE