Convert First Letter of Multiple String Columns to Capital in R Data Frame

To convert first letter of multiple string columns into capital in R data frame, we can follow the below steps −

• First of all, create a data frame with string columns.

• Then, use sub function along with mutate_each function of dplyr package to convert first letter into capital in string columns.

Example

Create the data frame

Let’s create a data frame as shown below −

Names<-
sample(c("rahul","rosy","hidayah","seema","john","sarbat","shaun","sam","teena","ila","kunal"),25,replace=TRUE)
Group<--sample(c("first","second","third"),25,replace=TRUE)
df<--data.frame(Names,Group)
df

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

   Names  Group
1  sarbat third
2  sarbat first
3  shaun  first
4  shaun  second
5  ila    second
6  sam    third
7  john   first
8  john   third
9  sam    third
10 rahul  second
11 ila    third
12 rahul  first
13 teena  second
14 john   first
15 teena  second
16 kunal  second
17 sarbat second
18 rahul  first
19 ila    first
20 john   third
21 john   second
22 sam    third
23 sam    first
24 seema  first
25 seema  second

Convert first letter into capital in multiple columns

Using sub function along with mutate_each function of dplyr package to convert first letter into capital in Names and Group column −

Names<-
sample(c("rahul","rosy","hidayah","seema","john","sarbat","shaun","sam","teena","ila","kunal"),25,replace=TRUE)
Group<-sample(c("first","second","third"),25,replace=TRUE)
df<-data.frame(Names,Group)
library(dplyr)
df %>% mutate_each(funs(sub("(.)","\U\1", ., perl=TRUE)))

Output

   Names Group
1  Rosy    First
2  Hidayah Second
3  Sam     First
4  Ila     Third
5  Kunal   Third
6  Teena   Third
7  Kunal   First
8  Sam     First
9  Rosy    Second
10 Shaun   Second
11 Sarbat  Second
12 Teena   Third
13 Ila     First
14 Shaun   Third
15 Hidayah Second
16 Sam     Second
17 Rosy    Third
18 Hidayah Third
19 Shaun   First
20 Sam     Second
21 Hidayah Third
22 Sam     Second
23 John    Second
24 Sam     First
25 Sam     Second