I am new to R. I am running Jupyter Lab on a Windows 11 machine, and have created a virtual environment where I installed some packages and irkernel. I get the following message when I execute %load_ext rpy2.ipython: Here is my complete code: Apart from the environment variables, the above code comes from David Mertz book “Cleaning Data for Effective
Tag: rpy2
Calling an R package function with rpy2
I’m new to R and need to pass string data from a pandas dataframe to a function in R. This function accepts nested lists of strings, such as: The code I tried two approaches: 1) That yielded KeyError: <class ‘list’> error message. 2) That yielded the error message: I checked if d is a list or not: I’d be grateful
For loop is several times faster in R than in Python using the rpy2 library
The following simply for block takes about ~3 sec to complete in R: The same code run in Python through the rpy2 library takes between 4-5 times more: Is this just because I’m using the rpy2 library to communicate with R or is there something else at play? Can this be improved in any way (while still running the code
How to plot (inline) with rpy2 in Jupyter notebook?
I’m learning to use rpy2 in Jupyter notebook. I’m having troubles with the plotting. When I use this example from the rpy2 docs for interactive work: Jupyter opens a new window with the plot. The window “title” reads: R Graphics: Device 2 (ACTIVE) (Not Responding). My Jupyter kernel is active. When I try to close the window with the plot,