循环创建新的数据帧

Question

I got an original dataframe df with three columns:

"Person","start","end", where start and end are in "%d.%m.%Y %H:%M:%S" format.

head(df)

1 Mark 06.08.2019 00:02:56 06.08.2019 00:14:43
5 Mark 06.08.2019 00:16:31 06.08.2019 00:20:53
6 Vince 06.08.2019 00:18:28 06.08.2019 00:24:30
7   Kate 06.08.2019 00:20:26 06.08.2019 00:23:29
8   Mark 06.08.2019 00:26:34 06.08.2019 00:32:41
9 Vince 06.08.2019 00:31:13 06.08.2019 00:33:14

Person has unique values:

people<-unique(df$Person)

people=[Mark,Kate, Vince]

So my goal is to make 3 separated dataframes for those people. Im trying this:

for (a in people){
  assign(paste("df.", a, sep = ""), subset(a,a[start],a[end]))
}

since start and end are atomic vectors

(is.atomic(...))

but I receive an error saying:

Error in subset.default(a,a[start],a[end]) : 
  object 'start' not found

I wonder how to have separated df s for every person with the same columns as in original DF dataframe?

Answer 1

You can split your original dataframe into a list of dataframes:

df_split <- split(df,f= df$Person)

You can then access each dataframe by using for example df[["Mark"]] . Does that work for you?