On Feb 23, 2015, at 4:03 AM, Tim Richter-Heitmann wrote:
> Thank you very much for the line. It was doing the split as suggested.
> However, i want to release all the dataframes to the environment (later on,
> for each dataframe, some dozen lines of code will be carried out, and i dont
> know h
Did you try "dplyr" package?
Sergio
Il 23/feb/2015 13:05 "Tim Richter-Heitmann" ha
scritto:
> Thank you very much for the line. It was doing the split as suggested.
> However, i want to release all the dataframes to the environment (later
> on, for each dataframe, some dozen lines of code will be
Thank you very much for the line. It was doing the split as suggested.
However, i want to release all the dataframes to the environment (later
on, for each dataframe, some dozen lines of code will be carried out,
and i dont know how to do it w lapply or for-looping, so i do it
separately):
li
On Feb 20, 2015, at 9:33 AM, Tim Richter-Heitmann wrote:
> Dear List,
>
> Consider this example
>
> df <- data.frame(matrix(rnorm(9*9), ncol=9))
> names(df) <- c("c_1", "d_1", "e_1", "a_p", "b_p", "c_p", "1_o1", "2_o1",
> "3_o1")
> row.names(df) <- names(df)
>
>
> indx <- gsub(".*_", "", nam
I think
?tapply
and friends: ?by ?aggregate ?ave
is what you want.
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll
On Fri, Feb 20, 2015 at 9:33 AM, Tim Ri
Dear List,
Consider this example
df <- data.frame(matrix(rnorm(9*9), ncol=9))
names(df) <- c("c_1", "d_1", "e_1", "a_p", "b_p", "c_p", "1_o1", "2_o1",
"3_o1")
row.names(df) <- names(df)
indx <- gsub(".*_", "", names(df))
I can split the dataframe by the index that is given in the column.nam
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