rpy2

I would like to access R from within a Python program. I am aware of Rpy2, pyrserve and PypeR. What are the advantages or disadvantages of these three options? I know one of the 3 better than the others, but in the order given in the question: rpy2: C-level interface between Python and R (R running as an embedded process) R objects exposed to Python without the need to copy the data over Conversely, Python's numpy arrays can be exposed to R without making a copy Low-level interface (close to the R C-API) and high-level interface (for convenience) In-place modification for vectors and arrays

The following code is supposed to create a heatmap in rpy2 import numpy as np from rpy2.robjects import r data = np.random.random((10,10)) r.heatmap(data) However, it results in the following error Traceback (most recent call last): File "z.py", line 8, in <module> labRow=rowNames, labCol=colNames) File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 418, in __call__ new_args = [conversion.py2ri(a) for a in args] File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 93, in default_py2ri raise(ValueError("Nothing can be done for the type %s at the moment." %(type

I'm trying to install rpy2 on my computer, but I wasn't able to do it. I downloaded the source package and I tryed to install Rpy2 (rpy2-2.3.2) using the command python setup.py install . This is the result: running install running build running build_py running build_ext "C:\PROGRA~1\R\R-215~1.2\bin\R" CMD config --ldflags "C:\PROGRA~1\R\R-215~1.2\bin\R" CMD config --cppflags "C:\PROGRA~1\R\R-215~1.2\bin\R" CMD config LAPACK_LIBS returned an empty string. "C:\PROGRA~1\R\R-215~1.2\bin\R" CMD config BLAS_LIBS returned an empty string. Configuration for R as a library: include_dirs: ('C:/PROGRA

Suppose I'm plotting a dense scatter plot in ggplot2 in R where each point might be labeled by a different color: df <- data.frame(x=rnorm(500)) df$y = rnorm(500)*0.1 + df$x df$label <- c("a") df$label[50] <- "point" df$size <- 2 ggplot(df) + geom_point(aes(x=x, y=y, color=label, size=size)) When I do this, the scatter point labeled "point" (green) is plotted on top of the red points which have the label "a". What controls this z ordering in ggplot, i.e. what controls which point is on top of which? For example, what if I wanted all the "a" points to be on top of all the points labeled "point"