I am trying to use for loop in R to create separate data frames for my split result. It may have better solutions but I am a beginner in R so any comments are appreciated.
''' For example: '''
For (i in 1:100)
{i<-df[[i]]}
''' I expect to get something like
'1' equal to df[[1]]
'2' equal to df[[2]]
'3' equal to df[[3]]
.
.
.
'i' equal to df[[i]]
but it only gets the last i:
'100' which is equal to df[[100]]
How can I get separate data frames for each i?
Since you require individual data frames, you can use the following to create a list of data frames:
df = NULL
for (i in 1:100) {
df[[i]] = data.frame(i)
}
You can access each data frame in the list using the list index. For exampe
> df[[1]]
i
1 1
> df[[2]]
i
1 2
You can verify that each item in the list is a data frame
> str(df) # Partial output given
List of 100
$ :'data.frame': 1 obs. of 1 variable:
..$ i: int 1
$ :'data.frame': 1 obs. of 1 variable:
..$ i: int 2
$ :'data.frame': 1 obs. of 1 variable:
..$ i: int 3
$ :'data.frame': 1 obs. of 1 variable:
..$ i: int 4
.
.
.
Once you are more comfortable with R, a better way to achieve this result is to vectorize the task, such as by using lapply
df = lapply(1:100, data.frame)
