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How to create a column of exponent in data frames stored in R list?
To create a column of exponent in data frames stored in R list, we can follow the below steps −
First of all, create a list of data frames.
Then, use lapply function to create a column of exponent in data frames stored in the list.
Example
Create the list of data frames
Using data.frame function to create data frames and list function to create the list of those data frames −
df1<-data.frame(x=sample(1:10,25,replace=TRUE)) df2<-data.frame(x=sample(10:20,25,replace=TRUE)) List<-list(df1,df2) List
Output
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
[[1]] x 1 5 2 10 3 1 4 9 5 4 6 7 7 9 8 9 9 1 10 8 11 3 12 7 13 3 14 3 15 4 16 8 17 2 18 10 19 8 20 5 21 8 22 3 23 1 24 4 25 3 [[2]] x 1 13 2 15 3 11 4 15 5 13 6 17 7 14 8 12 9 19 10 13 11 12 12 19 13 12 14 18 15 11 16 17 17 10 18 11 19 11 20 13 21 20 22 12 23 17 24 18 25 19
Create a column of exponent in data frames stored in the list
Using lapply function to create a column of exponent in data frames df1 and df2 stored in the list called List as shown below −
df1<-data.frame(x=sample(1:10,25,replace=TRUE))
df2<-data.frame(x=sample(10:20,25,replace=TRUE))
List<-list(df1,df2)
lapply(List,function(x) {
+ x$Exponent<-exp(x$x)
+ return(x)
+ })Output
[[1]] x Exponent 1 5 148.413159 2 10 22026.465795 3 1 2.718282 4 9 8103.083928 5 4 54.598150 6 7 1096.633158 7 9 8103.083928 8 9 8103.083928 9 1 2.718282 10 8 2980.957987 11 3 20.085537 12 7 1096.633158 13 3 20.085537 14 3 20.085537 15 4 54.598150 16 8 2980.957987 17 2 7.389056 18 10 22026.465795 19 8 2980.957987 20 5 148.413159 21 8 2980.957987 22 3 20.085537 23 1 2.718282 24 4 54.598150 25 3 20.085537 [[2]] x Exponent 1 13 442413.39 2 15 3269017.37 3 11 59874.14 4 15 3269017.37 5 13 442413.39 6 17 24154952.75 7 14 1202604.28 8 12 162754.79 9 19 178482300.96 10 13 442413.39 11 12 162754.79 12 19 178482300.96 13 12 162754.79 14 18 65659969.14 15 11 59874.14 16 17 24154952.75 17 10 22026.47 18 11 59874.14 19 11 59874.14 20 13 442413.39 21 20 485165195.41 22 12 162754.79 23 17 24154952.75 24 18 65659969.14 25 19 178482300.96
Updated on: 10-Nov-2021
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