R-vs-Python | repository contains several code examples comparing R

 by   sjmgarnier R Version: Current License: No License

kandi X-RAY | R-vs-Python Summary

kandi X-RAY | R-vs-Python Summary

R-vs-Python is a R library typically used in Data Science applications. R-vs-Python has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository contains several code examples comparing R and Python for data science and visualization.
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              R-vs-Python has a low active ecosystem.
              It has 49 star(s) with 22 fork(s). There are 13 watchers for this library.
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              It had no major release in the last 6 months.
              R-vs-Python has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of R-vs-Python is current.

            kandi-Quality Quality

              R-vs-Python has no bugs reported.

            kandi-Security Security

              R-vs-Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              R-vs-Python does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              R-vs-Python releases are not available. You will need to build from source code and install.

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            R-vs-Python Key Features

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            R-vs-Python Examples and Code Snippets

            No Code Snippets are available at this moment for R-vs-Python.

            Community Discussions

            Trending Discussions on R-vs-Python

            QUESTION

            R: Plotting "staircases" using ggplot2/plotly
            Asked 2020-Dec-25 at 23:39

            I am using the R programming language. I am trying to follow this tutorial over here: https://rviews.rstudio.com/2017/09/25/survival-analysis-with-r/ (bottom of the page).

            I have slightly modified the code for this tutorial and have plotted the "staircases" (i.e. "survival functions", in the below picture "red", "blue", "green") corresponding to 3 of the observations in the data:

            ...

            ANSWER

            Answered 2020-Dec-25 at 23:39

            The issue is that when you draw a plot in base graphics draw directly on a device. The line of your code grob= plot(r_fit$unique.death.times, pred[1,], type = "l", col = "red") creates a NULL object (unlike ggplot which would return a plot object).

            You can make the plot directly in ggplot (there are a few ways of doing this but I've done a simple example bolow) and convert it with ggplotly:

            Source https://stackoverflow.com/questions/65446162

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

            Vulnerabilities

            No vulnerabilities reported

            Install R-vs-Python

            You can download it from GitHub.

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            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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