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How to create a column of log with base 2 in data frames stored in R list?
To create a column of log with base 2 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 log with base 2 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(1:100,25)) df2<-data.frame(x=sample(1:100,25)) 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 70 3 75 4 19 5 41 6 52 7 55 8 90 9 1 10 81 11 18 12 65 13 10 14 21 15 9 16 69 17 94 18 63 19 28 20 51 21 62 22 36 23 98 24 39 25 50 [[2]] x 1 33 2 58 3 59 4 12 5 3 6 60 7 11 8 50 9 10 10 16 11 76 12 25 13 88 14 92 15 46 16 57 17 6 18 91 19 71 20 35 21 32 22 65 23 19 24 53 25 82
Create a column of log with base 2 in data frames stored in the list
Using lapply function to create a column of log with base 2 in data frames df1 and df2 stored in the list called List as shown below −
df1<-data.frame(x=sample(1:100,25)) df2<-data.frame(x=sample(1:100,25)) List<-list(df1,df2) lapply(List,function(x) { + x$LogBase2<-log2(x$x) + return(x) + })
Output
[[1]] x LogBase2 1 5 2.321928 2 70 6.129283 3 75 6.228819 4 19 4.247928 5 41 5.357552 6 52 5.700440 7 55 5.781360 8 90 6.491853 9 1 0.000000 10 81 6.339850 11 18 4.169925 12 65 6.022368 13 10 3.321928 14 21 4.392317 15 9 3.169925 16 69 6.108524 17 94 6.554589 18 63 5.977280 19 28 4.807355 20 51 5.672425 21 62 5.954196 22 36 5.169925 23 98 6.614710 24 39 5.285402 25 50 5.643856 [[2]] x LogBase2 1 33 5.044394 2 58 5.857981 3 59 5.882643 4 12 3.584963 5 3 1.584963 6 60 5.906891 7 11 3.459432 8 50 5.643856 9 10 3.321928 10 16 4.000000 11 76 6.247928 12 25 4.643856 13 88 6.459432 14 92 6.523562 15 46 5.523562 16 57 5.832890 17 6 2.584963 18 91 6.507795 19 71 6.149747 20 35 5.129283 21 32 5.000000 22 65 6.022368 23 19 4.247928 24 53 5.727920 25 82 6.357552
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