How to remove single quote from string column in an R data frame?

Sometimes column values in an R data frame have single quote associated with them and to perform the analysis we need to remove that quote. Therefore, to remove single quote from string column, we can use gsub function by defining the single quote and replacing it with blank(not space) as shown in the below examples.

Consider the below data frame −

Example

 Live Demo

x1<-sample(c("India'","Sudan'","Croatia'"),20,replace=TRUE)
x2<-rpois(20,5)
df1<-data.frame(x1,x2)
df1

Output

   x1      x2
1  India'   6
2  Sudan'   3
3  Croatia' 9
4  Croatia' 3
5  Sudan'   4
6  Croatia' 4
7  India'   4
8  Croatia' 6
9  India'   4
10 Croatia' 7
11 Sudan'   8
12 India'   3
13 Croatia' 4
14 Sudan'   6
15 Sudan'   3
16 India'   11
17 Croatia' 8
18 Sudan'   6
19 Sudan'   10
20 Sudan'   5

Removing ' from column x1 in df1 −

Example

df1$x1<-gsub("'","",df1$x1)
df1

Output

    x1   x2
1  India   6
2  Sudan   3
3  Croatia 9
4  Croatia 3
5  Sudan   4
6  Croatia 4
7  India   4
8  Croatia 6
9  India   4
10 Croatia 7
11 Sudan   8
12 India   3
13 Croatia 4
14 Sudan   6
15 Sudan   3
16 India   11
17 Croatia 8
18 Sudan   6
19 Sudan   10
20 Sudan   5

Example

 Live Demo

y1<-sample(c("'A'","'B'","'C'"),20,replace=TRUE)
y2<-rnorm(20,1)
df2<-data.frame(y1,y2)
df2

Output

    y1    y2
1  'B'    0.49282668
2  'B'   -0.90061585
3  'B'    0.89346759
4  'A'    1.96469552
5  'A'    1.21931750
6  'A'    0.32022463
7  'A'    0.97912117
8  'B'    1.38781374
9  'C'   -0.69066318
10 'B'    1.45014864
11 'C'    1.61876980
12 'C'    1.69046763
13 'C'   -0.08073507
14 'B'    1.73212908
15 'C'    0.85473489
16 'B'   -0.24975030
17 'A'    0.40313471
18 'B'    0.60537047
19 'B'    0.30200882
20 'C'    2.29497113

Removing ' from column y1 in df2 −

Example

df2$y1<-gsub("'","",df2$y1)
df2

Output

   y1     y2
1  B     0.49282668
2  B    -0.90061585
3  B     0.89346759
4  A     1.96469552
5  A     1.21931750
6  A     0.32022463
7  A     0.97912117
8  B     1.38781374
9  C    -0.69066318
10 B     1.45014864
11 C     1.61876980
12 C     1.69046763
13 C    -0.08073507
14 B     1.73212908
15 C     0.85473489
16 B    -0.24975030
17 A     0.40313471
18 B     0.60537047
19 B     0.30200882
20 C     2.29497113