A docker image

[wdlingit]

This is not an issue report.

TL;DR: a docker image wdlin/rserver_r363_scent in the docker hub.

A number of weeks ago I tried this package and there seemed some problem when installing (or running) it with R 4.x. Then I tried to install this package in a Ubuntu20.04 VM with the default R 3.6.3. To make SCENT installed, a number of system packages and R libraries were manually picked and installed. I have to say that I don't want to repeat the installation process, it took me a number of hours. In order to make at least the computing process reproducible, I created a docker image and deposited it in the docker hub. The name is wdlin/rserver_r363_scent.

The image had been tested using Singularity. At least the example R markdown is working, including running the time-consuming CompSRana function.

[aet21]

I just installed SCENT_1.0.3 on R_4.5.1 and it only took me 20 seconds to install.........Your problem has nothing to do with SCENT as such but with your outdated R or Linux installation!
Moreover, the function CCAT provides an ultrafast approximation to CompSRana, so if you don't have parallel computing facilities, you may want to try that!!!
Lesson: do your homework before dishing out criticism.

[wdlingit]

Thank you for the comment. I did do the homework before I actually applied this package.

I installed the package as indicated and run the example SCENT.Rmd with both R 4.2.1 and R 4.5.1 (ubuntu 20 and 24, respectively). Both got the same error message

> pot.o <- InferPotencyStates(potest.v=srChu.v, pheno.v = phenoChu.v)
Error in if (type == "SR") { : the condition has length > 1

I am not good in R and it seems that the RMD file had been successfully executed in the old environment. So I tried to reproduce the same environment as indicated in the example file (the session info). With R 3.6.3, the same RMD was executed successfully.

Regarding function CompSRana, maybe I didn't express what I think well. Sorry about that. According to the description, I think the function is worth trying because it provides something more than CompCCAT. So making sure it is runnable would be important.

Anyway, I did applied this package with R 3.6.3. My colleague seems happy with the output. Thank you for creating the package and for the detailed description in the example RMD file.

[mglgc]

Hi,
I get the same error with the InferPotencyStates and example data (as described in SCENT.Rmd) under R_4.5.1. Could you fix the issue?
Thank you in advance for your reply.