processx | Execute and Control Subprocesses from R | Monitoring library

I am plotting 4 plot_ly plots on the same "page" with the subplot function in the plot_ly library. The data here is a quick mockup to represent the dataset with which I am working. I have 4 families of explanatory variables (i.e. actuals 1-10, bias 25,50,70,100), their coefficients, and the normalized amount of times they appeared in a fictitious model, and NA values to pad the vectors in order to make data-frames:

Since a few months, ggplot2 started to save png files with a transparent background. The code output in Rstudio and when saved as pdf looks great. It happens mainly with the use of themes when I omit the gray panel background. I tested it on my macbook with "Preview" and on a Windows Computer with the "foto viewer" there.

I have a process (let's call it ProcessX) that runs by default with only Terminate, Synchronize, and Query Limited Information permissions.

When I look at ProcessX in Process Hacker, I can see the permission (ACE, Owner, etc). I can see that I'm the owner of ProcessX, I can see the 3 limited permissions associated with it (Terminate, Synchronize, and Query Limited Information), and I can even edit the permissions (for instance, set Full Control on it).

However, when I run the code below to check the DACL of ProcessX, with the same user that owns ProcessX, I'm getting an error code 5 (Access Denied) on the GetSecurityInfo() function.

Same results with AccessChk and Process Explorer on ProcessX.

However, Process Hacker is perfectly able to read the DACL of ProcessX and modify it.

I don't understand. How is that possible? Why is my code unable to read the DACL for ProcessX?

I've read in MS documents that to read the DACL, I must use OpenProcess() with READ_CONTROL.

But READ_CONTROL is not an available ACE on the process for my user. So, I can't open the process with it (OpenProcess() errors if I try, which is logical).

So, I'm the owner of the process, but I can't modify the ACE, but Process Hacker can.

Can anybody help me understand?

TL;DR I’m wondering if readr or tibble or anything base/tidyverse can make a tibble from a character vector of CSV rows (as if I had done read_lines() on some CSV file).

More explanation: I am collecting output (from stdout of a processx object) into a character vector, and this output is actually lines of a CSV, being created by the subprocess. I would like to make this into a tibble, but the only function I can find that does this is data.table::fread (via the ‘text’ arg). This is in a package and I don’t really want to take a dependency on data.table solely for this one function.

I’ve looked through the tidyverse docs and I can’t find anything. I realize I could write my own parser, and I started doing it with map_def and str_split but then I realized there are subtleties like “ignore the comma if it’s within quotes”, etc. maybe I’m just being lazy, but I don’t really want to implement a full csv parser when there are millions that already exist. Not to mention, speed concerns. This vector is sometimes 10k+ rows and I’m sure my homemade approach would not be the most optimized.

Any thoughts are welcome. Maybe I should just bite the bullet and either write the parser or use data.table but I feel like I can’t be the first person to want to do this and there must be something g built in that I’m missing. Thanks!

I tried to install a companion R package called Rling from this website https://benjamins.com/sites/z.195/content/package.html. In vain. There was an answer to the same question before Error trying to install Rling package in R. So I installed devtools with no problem. Then I used devtools::install_local to install Rling:

I am using Shiny with a local server installed.

My Shiny app runs a heavy local program using system/system2/processx::run. I am running it synchronously (wait=T). If the user closes the browser window of the Shiny, I would love the heavy program to end. If the user re-opens the browser window, I want the Shiny app to be ready again for executing the local program.

How can this be achieved?

When I use system/system2/processx::run, it seems that the app waits for the heavy program to finish and does not stop it upon close.

Reprex:

I am writing a function for my app that will call a process in the background, and monitor the moment it stops. Upon closing the session, the process should be killed, so I want it to be available outside of the function. If I assign the process with the <<- sign, something strange happens...

I’m creating a Shiny app that uses the caret package to do some SVM free-text analysis.

The app runs fine without any error in my computer. I’m using R x64 4.0.4 and R studio 1.3.1093

I’m deploying app to an internal enterprise server https://rconnect.xxxx.com/connect/#/apps/####

This app is deployed in the server and started.
But when I reach the line where I run the train function:

Unable to install any package from GitHub, System Error 267

I've newly setup R (v4.1), Rstudio and just installed devtools. I also additionally installed Rtools40 and added it to my path (global environment)

Rtools seems to work properly as validated with: Sys.which("make") & maketools::rtools_find() (output below)

I am unable to install any package from GitHub, e.g. rstudio/gt. The error is nearly identical for any GitHub Package, allways stating system error 267