Sexart Juniper Ren Slow Down 26022025: R Install

system.time(source("~/.Rprofile"))

A common mistake is using the default base R without optimization. Here’s how to install or reinstall R correctly for heavy data tasks.

sudo apt remove r-base-core --purge
sudo rm -rf /usr/lib/R

After reinstall, test with a minimal script:

install.packages("bench")
bench::mark(1:1e7 + rnorm(1e7))

This should run in <1 second on modern hardware. sexart juniper ren slow down 26022025 r install

Install av package – it’s much faster than ffmpeg bindings:

install.packages("av")
library(av)
video_info <- av_media_info("sexart_juniper_ren_slow_down_26022025.mp4")
frames <- av_video_images("sexart_juniper_ren_slow_down_26022025.mp4", 
                          format = "png", fps = 1)

This will not slow down R if you limit frames. system

The numeric string 26022025 likely refers to 26th February 2025. In troubleshooting, such a date might appear in:

Action: Check for .RData or .Rds files from that date. Delete and reload fresh data. A common mistake is using the default base

# Find and remove problematic cached file
file.remove("~/26022025_juniper_cache.Rds")
  • Use a local package cache directory:
  • Prefer CRAN/bioconductor mirrors close to you or set up a local mirror if possible.
  • If behind a proxy, ensure R’s proxy config or system environment (http_proxy/https_proxy) is correct.

    • If binary packages are unavailable for your OS (e.g., Linux with custom R), R compiles from source, which is CPU-intensive.

    Solution: