On 16/12/2021 23:00, Dario Strbenac via Bioc-devel wrote:
Hello,
Ah, yes, the sample names should of course be in the rows - Friday afternoon error. In
the question, I specified "largely the same set of features", implying that the
overlap is not complete. So, the example below will error.
This is more of a support site question.
The stack() function is relevant here, but it won't fill in the missing columns.
Note though that there are some conveniences that might help a tiny
bit, like how colnames(DFL) returns a CharacterList, so you can do
unique(unlist(colnames(DFL))).
In
Hello,
Ah, yes, the sample names should of course be in the rows - Friday afternoon
error. In the question, I specified "largely the same set of features",
implying that the overlap is not complete. So, the example below will error.
DFL <- DataFrameList(X = DataFrame(a = 1:3, b = 3:1,
A metadata column on a DataFrame runs along its 2nd dimension so is not
a good place to put the list names.
Have you tried unlist()?
library(S4Vectors)
DF <- DataFrame(id=letters[1:10], score=runif(10))
f <- sample(LETTERS[1:3], 10, replace=TRUE)
DFL <- split(DF, f)
DFL
#
Good day,
Is there a function in the S4Vectors API which converts a DataFrameList into a
DataFrame, automatically putting the list names into one of the metadata
columns, analogous to MultiAssayExperiment's wideFormat function? The scenario
is mutliple data sets from different organisations
