I have a long dataframe like this:
Row Conc group
1 2.5 A
2 3.0 A
3 4.6 B
4 5.0 B
5 3.2 C
6 4.2 C
7 5.3 D
8 3.4 D
...
The actual data have hundreds of row. I would like to split A to C, and D. I looked up the web and found several solutions but not applicable to my case.
How to split a data frame?
For example: Case 1:
x = data.frame(num = 1:26, let = letters, LET = LETTERS)
set.seed(10)
split(x, sample(rep(1:2, 13)))
I don't want to split by arbitrary number
Case 2: Split by level/factor
data2 <- data[data$sum_points == 2500, ]
I don't want to split by a single factor either. Sometimes I want to combine many levels together.
Case 3: select by row number
newdf <- mydf[1:3,]
The actual data have hundreds of rows. I don't know the row number. I just know the level I would like to split at.
It sounds like you want two data frames, where one has (A,B,C)
in it and one has just D
. In that case you could do
Data1 <- subset(Data, group %in% c("A","B","C"))
Data2 <- subset(Data, group=="D")
Correct me if you were asking something different
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