A quick update on that point.
Silently translating R's NA into values is something I clearly overlooked
(as it can lead to hard-to-track problems in someone's code).
The following improvements are in the 2.1-dev repository:
- the parameter 'as_is' was added to the signature of the method
DataFr
Hi Luca,
Unfortunately this does not seem to be caused by your installation.
The problem exists for IntVector, and FactorVector inherits from it. Few
features are likely missing from FactorVector, but the good thing is
that they already can be implemented simply.
Let's take an example:
import
Hello,
in my code, I need to convert the columns from a robjects.DataFrame to other
data types (list, for example). Howver, I've found a problem when dealing with
data that contains NAs. In particular, I'm referring to non-numeric columns,
that are represented as FactorVectors.
Example code:
