Profile R Code and Visualize with 'Pprof'
Install pprof and Go on Linux
Profile R code and visualize with pprof.
Show the path to the pprof executable.
Verify pprof installation
proffer: profile R code with pprof
Choose a random free TCP port.
Profile R code and record pprof samples.
Profile R code and record Rprof samples.
Visualize profiling data with pprof.
Visualize Rprof() output with pprof.
Test pprof()
Convert Rprof samples to pprof format.
Convert pprof samples to Rprof format.
Like similar profiling tools, the 'proffer' package automatically detects sources of slowness in R code. The distinguishing feature of 'proffer' is its utilization of 'pprof', which supplies interactive visualizations that are efficient and easy to interpret. Behind the scenes, the 'profile' package converts native Rprof() data to a protocol buffer that 'pprof' understands. For the documentation of 'proffer', visit <https://r-prof.github.io/proffer/>. To learn about the implementations and methodologies of 'pprof', 'profile', and protocol buffers, visit <https://github.com/google/pprof>. <https://developers.google.com/protocol-buffers>, and <https://github.com/r-prof/profile>, respectively.
Useful links