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How to convert more than one column in R data frame to from integer to numeric in a single line code?
To convert columns of an R data frame from integer to numeric we can use lapply() function. For example, if we have a data frame df that contains all integer columns then we can use the code lapply(df,as.numeric) to convert all of the columns data type into numeric data type.
Example1
Consider the below data frame −
set.seed(871) x1<−sample(0:1,20,replace=TRUE) x2<−sample(0:5,20,replace=TRUE) x3<−sample(1:5,20,replace=TRUE) x4<−sample(0:9,20,replace=TRUE) x5<−sample(1:10,20,replace=TRUE) df1<−data.frame(x1,x2,x3,x4,x5) df1
Output
x1 x2 x3 x4 x5 1 0 2 2 9 9 2 0 2 1 1 10 3 1 1 5 8 10 4 1 3 2 4 3 5 0 0 2 4 3 6 1 5 2 8 3 7 0 4 5 4 5 8 1 1 5 8 1 9 0 1 4 9 7 10 0 4 2 0 9 11 1 1 4 7 6 12 0 2 4 8 5 13 1 5 5 0 1 14 1 0 1 5 4 15 0 0 3 7 5 16 1 0 4 6 4 17 1 5 4 7 8 18 1 1 1 3 2 19 1 2 3 6 3 20 0 0 1 8 1
str(df1)
Output
'data.frame': 20 obs. of 5 variables: $ x1: int 0 0 1 1 0 1 0 1 0 0 ... $ x2: int 2 2 1 3 0 5 4 1 1 4 ... $ x3: int 2 1 5 2 2 2 5 5 4 2 ... $ x4: int 9 1 8 4 4 8 4 8 9 0 ... $ x5: int 9 10 10 3 3 3 5 1 7 9 ...
Converting columns of df1 to numeric −
df1<−lapply(df1,as.numeric) str(df1)
Output
List of 5 $ x1: num [1:20] 0 0 1 1 0 1 0 1 0 0 ... $ x2: num [1:20] 2 2 1 3 0 5 4 1 1 4 ... $ x3: num [1:20] 2 1 5 2 2 2 5 5 4 2 ... $ x4: num [1:20] 9 1 8 4 4 8 4 8 9 0 ... $ x5: num [1:20] 9 10 10 3 3 3 5 1 7 9 ...
Example2
y1<−rpois(20,10) y2<−rpois(20,8) y3<−rpois(20,5) y4<−rpois(20,2) df2<−data.frame(y1,y2,y3,y4) df2
Output
y1 y2 y3 y4 1 9 10 4 3 2 6 9 4 0 3 7 9 3 4 4 4 3 6 1 5 9 7 2 4 6 17 4 7 2 7 6 5 7 0 8 3 5 5 4 9 12 6 7 5 10 15 10 4 2 11 6 3 5 2 12 9 10 6 0 13 6 8 6 2 14 11 6 4 2 15 9 7 3 5 16 12 7 3 3 17 18 9 8 4 18 7 5 3 5 19 14 4 7 4 20 17 8 8 3
Example
str(df2)
Output
'data.frame': 20 obs. of 4 variables: $ y1: int 9 6 7 4 9 17 6 3 12 15 ... $ y2: int 10 9 9 3 7 4 5 5 6 10 ... $ y3: int 4 4 3 6 2 7 7 5 7 4 ... $ y4: int 3 0 4 1 4 2 0 4 5 2 ...
Converting columns of df2 to numeric −
df2<−lapply(df2,as.numeric) str(df2)
List of 4 $ y1: num [1:20] 9 6 7 4 9 17 6 3 12 15 ... $ y2: num [1:20] 10 9 9 3 7 4 5 5 6 10 ... $ y3: num [1:20] 4 4 3 6 2 7 7 5 7 4 ... $ y4: num [1:20] 3 0 4 1 4 2 0 4 5 2 ...
Example3
z1<−sample(21:30,20,replace=TRUE) z2<−sample(1:50,20) z3<−sample(101:200,20) df3<−data.frame(z1,z2,z3) df3
Output
z1 z2 z3 1 29 32 130 2 27 26 149 3 22 11 199 4 30 28 161 5 21 36 174 6 29 8 152 7 23 23 142 8 27 22 114 9 24 45 135 10 21 34 171 11 28 40 125 12 24 42 148 13 21 43 106 14 25 1 137 15 26 7 118 16 22 2 184 17 28 4 192 18 24 38 183 19 27 31 168 20 21 3 185
Example
str(df3)
Output
'data.frame': 20 obs. of 3 variables: $ z1: int 29 27 22 30 21 29 23 27 24 21 ... $ z2: int 32 26 11 28 36 8 23 22 45 34 ... $ z3: int 130 149 199 161 174 152 142 114 135 171 ...
Converting columns of df3 to numeric −
df3<−lapply(df3,as.numeric) str(df3)
Output
List of 3 $ z1: num [1:20] 29 27 22 30 21 29 23 27 24 21 ... $ z2: num [1:20] 32 26 11 28 36 8 23 22 45 34 ... $ z3: num [1:20] 130 149 199 161 174 152 142 114 135 171 ...
Updated on: 08-Sep-2023
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