lineprof | Visualise line profiling results in R | Performance Testing library

by hadley JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | lineprof Summary

lineprof is a JavaScript library typically used in Testing, Performance Testing, Ethereum applications. lineprof has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

lineprof is now deprecated in favour of profvis. Please use that instead.

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lineprof has a low active ecosystem.

It has 98 star(s) with 23 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

lineprof has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lineprof is current.

Quality

lineprof has 0 bugs and 0 code smells.

Security

lineprof has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lineprof code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lineprof does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

lineprof releases are not available. You will need to build from source code and install.

lineprof saves you 270 person hours of effort in developing the same functionality from scratch.

It has 653 lines of code, 0 functions and 30 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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lineprof Key Features

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lineprof Examples and Code Snippets

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Community Discussions

Trending Discussions on lineprof

Find triangles with shorter edges in a distance matrix

Examine which row/function in R code takes the most time within function?

Multiple ggplot2 graphs with shared Data

QUESTION

Find triangles with shorter edges in a distance matrix

Asked 2018-Sep-29 at 17:26

I am trying to find triangles in a distance matrix where a direct path is longer than going via another point. The goal is to reduce the number of edges in a fully connected graph. The function works well for low values of n but is slow for larger values. I am trying to find out how to speed up this process.

I had hoped that by keeping the data as a matrix and manipulating it like that the process would be vectorised and very fast, however, this is not what has happened.

I have tried to use lineprof and click through to lower functions, but I don't understand what it is telling me. I don't know if there is some function in igraph that would help?

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ANSWER

Answered 2018-Sep-29 at 17:26

As the matrix is symmetrical the process can be sped up by only calculating the lower triangular matrix. By doing this we can reduce the number of calculations from $n^3$ to
$\frac{n}{6}(2n^2+3n+1)$ which gives a ratio of $\frac{(2n+1)(n+1)}{6n^2}$ which results in approx 2/3 reduction in the total number of calculations when n is large.

The adjusted function is below.

This function starts slowly and speeds up as more rows are calculated. At small values of n it is slower than the original function due to the additional overhead, but becomes faster when n is greater than a couple of hundred.

Source https://stackoverflow.com/questions/52553937

QUESTION

Examine which row/function in R code takes the most time within function?

Asked 2018-Aug-14 at 07:07

I have a set of functions that run within a wrapper:

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ANSWER

Answered 2018-Aug-14 at 06:34

You can use Rprof to profile your R code and find the performance bottlenecks; here's a short example

Source https://stackoverflow.com/questions/51834932

QUESTION

Multiple ggplot2 graphs with shared Data

Asked 2018-May-04 at 19:13

How do I make multiple plots of the same data but colored differently by different factors (columns) while recycling data? Is this what gridExtra does differently than cowplot?

Objective: My objective is to visually compare different results of clustering the same data efficiently. I currently believe the easiest way to compare 2-4 clustering algorithms visually is to have them plotted next to each other.

Thus, how do I plot the same data side by side colored differently?

Challenge/Specifications: Performance is very important. I have roughly 30,000 graphs to make, each with 450 - 480 points. It is critical that the data is "recycled."

I am able to plot them side by side using packages cowplot and gridExtra. I just started using gridExtra today but it seems to recycle data and is better than cowplot for my purposes. Update: u/eipi10 demonstrated facet_wrap could work if I gathered the columns before plotting.

Set up

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ANSWER

Answered 2018-May-04 at 19:13

Faceting will work here if you convert your data to long format. Here's an example:

Source https://stackoverflow.com/questions/49928579

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lineprof

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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