ggdist | Visualizations of distributions and uncertainty | Data Visualization library

 by   mjskay R Version: v3.3.0 License: GPL-3.0

kandi X-RAY | ggdist Summary

kandi X-RAY | ggdist Summary

ggdist is a R library typically used in Analytics, Data Visualization applications. ggdist has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

ggdist is an R package that provides a flexible set of ggplot2 geoms and stats designed especially for visualizing distributions and uncertainty. It is designed for both frequentist and Bayesian uncertainty visualization, taking the view that uncertainty visualization can be unified through the perspective of distribution visualization: for frequentist models, one visualizes confidence distributions or bootstrap distributions (see vignette("freq-uncertainty-vis")); for Bayesian models, one visualizes probability distributions (see the tidybayes package, which builds on top of ggdist).
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              ggdist has a low active ecosystem.
              It has 656 star(s) with 20 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 36 open issues and 144 have been closed. On average issues are closed in 174 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ggdist is v3.3.0

            kandi-Quality Quality

              ggdist has 0 bugs and 0 code smells.

            kandi-Security Security

              ggdist has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ggdist code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ggdist is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              ggdist releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            ggdist Key Features

            No Key Features are available at this moment for ggdist.

            ggdist Examples and Code Snippets

            No Code Snippets are available at this moment for ggdist.

            Community Discussions

            QUESTION

            Clip {ggdist} ccdf-barplot
            Asked 2022-Mar-13 at 11:43

            I'm making a complementary cumulative distribution function barplot with {ggdist}. When I export the plot to svg (or other vector representation), I notice that there is a zero-width stripe protruding from the polygon (see attached image). I rather not have this protruding stripe.

            ...

            ANSWER

            Answered 2022-Mar-13 at 11:43

            I found a solution specific to this problem, but it might pan out differently if the orientation is horizontal or the cdf instead of the ccdf is used. In brief, we're still setting 0-thickness datapoints to NA, but we now do this only where the y aesthetic exceeds the groupwise maximum.

            Source https://stackoverflow.com/questions/71421713

            QUESTION

            Modify ggdist interval thickness?
            Asked 2022-Jan-14 at 16:24

            I’m visualizing some distributions with the ggdist package and would like to modify the width of the interval lines. For example, a basic plot created with stat_histinterval() creates a histogram with an interval at the bottom.

            ...

            ANSWER

            Answered 2022-Jan-14 at 16:17

            Could you just use two interval statements?

            Source https://stackoverflow.com/questions/70713033

            QUESTION

            Gradient line segment using ggplot in R?
            Asked 2021-Dec-01 at 16:23

            I am trying to add a line segment intervals to a ggplot. However, I am trying to make the line segments a gradient that fades the alpha to zero at each end of the interval.

            For example, if I create a plot that includes some intervals, like so:

            ...

            ANSWER

            Answered 2021-Dec-01 at 13:20

            Use ggforce::geom_link

            alpha = stat(index) is just one option, from the documentation.

            Source https://stackoverflow.com/questions/70183554

            QUESTION

            How to use LaTeX expression in textbox of ggplot
            Asked 2021-Oct-21 at 17:38

            I have below ggplot :

            ...

            ANSWER

            Answered 2021-Oct-21 at 17:38

            ?latex2exp::latex2exp_supported() doesn't seem to include tau and can thus not translate it to plotmath. A workaround is to draw an empty textbox and use annotate() to put a layer on top of it, which can take LaTex, as suggested by Svannoy here.

            Source https://stackoverflow.com/questions/69652299

            QUESTION

            Fixing the position of Text box in plot window in ggplot
            Asked 2021-Oct-20 at 18:58

            I have below ggplot :-

            ...

            ANSWER

            Answered 2021-Oct-20 at 18:58

            Be sure that aes and data in geom_textbox override ggplot().

            Source https://stackoverflow.com/questions/69650822

            QUESTION

            How to superimpose two ggplots
            Asked 2021-Oct-19 at 18:05

            I have 2 ggplots generated by below codes

            ...

            ANSWER

            Answered 2021-Oct-19 at 18:05

            Similar to eipi10's comment:

            Source https://stackoverflow.com/questions/69635391

            QUESTION

            Comparing 2 distribution using ggplot
            Asked 2021-Oct-02 at 21:25

            I want to compare two continuous distributions and their corresponding 95% quantiles. So I have found below example to implement such, where 2 distributions are placed in same place to facilitate the comparison

            ...

            ANSWER

            Answered 2021-Oct-02 at 21:25

            The y variable is an index to the function used (the row of dists).
            So you can leverage this to add some generalization.
            But I chose to add more columns to dists, which gives you even more flexibility.

            Source https://stackoverflow.com/questions/69418947

            QUESTION

            ggplot2 and ggdist: Skip plotting distributions where group has 1 obs. in multiple boxplots
            Asked 2021-Sep-08 at 04:45

            I have issues using a combination of ggdist::stat_halfeye with ggplot:geom_boxplot in a plot containing groups with 1 obs.

            To replicate the intended outcome:

            ...

            ANSWER

            Answered 2021-Sep-08 at 04:45

            Before use ggplot(.....), filter first and then draw plot will work. base_breaks() doesn't exist, so I remove that.

            Source https://stackoverflow.com/questions/69096592

            QUESTION

            Setting axis limits / zooming in in a ggdist plot (stat_slab) - coord_cartesian fails
            Asked 2021-Jul-14 at 23:37

            I'm trying to plot predicted draws from a brms model using ggdist, specifically stat_slab, and having issues with coord_cartesian to zoom in. Coord_cartesian succeeds in cropping the x-axis on the lower end, i.e. ggdist object is displayed correctly if adjusting xlim low value from 0 to 50. However, when limiting xlim at the upper end (e.g. 2000 to 1000) slab fill disappears from those stat_slabs whose tails go beyond the upper xlim value. It seems that coord_cartesian fails at the upper end at the distribution. Here's a code that should show what happens:

            ...

            ANSWER

            Answered 2021-Jul-14 at 23:37

            Ah okay, I have no idea why, but I think this is related to alpha values on the Windows graphics device (which it looks like you are using).

            If I run your code on the Cairo graphics device, I get the expected output:

            But if I run it on the Windows graphics device, I get this:

            If I remove alpha=0.6 from the call to stat_slab(), the densities come back:

            I'm not sure what's going on, but it appears to be some interaction between alpha fills and clipping on the Windows graphics device in R. I'm not sure there's a fix at the ggdist level.

            My main suggestion would be to switch to using the Cairo graphics device, which produces nicer-looking plots anyway (the antialiasing on plots generated on the Windows graphics device is quite ugly --- notice the jagged lines in its plots and the smooth lines in the Cairo plots).

            If you are using RStudio 1.4+ you can change to the Cairo device by default in the Settings panel:

            And if you are saving files as PNGs you can pass type = "cairo" to the png() function.

            Source https://stackoverflow.com/questions/68345570

            QUESTION

            calculate density of one point in groups
            Asked 2020-Dec-31 at 06:19

            I am plotting some density curves, and I want to add a point at the mean of each group. However, I want to plot these points along the top of the density curve, not at 0. Is there a way to come up with a value of the density at the mean point within groups? code follows:

            ...

            ANSWER

            Answered 2020-Dec-31 at 06:19

            I'm not sure if there's a way to calculate the height of the density curve at the mean value within the ggplot geom/stat functions, so I've created a couple of helper functions to do that.

            dens_at_mean calculates the height of the density curve at the mean of the data. get_mean_coords runs dens_at_mean by group and then scales the height values to match the y-values generated by stat_halfeye and returns a data frame that can be passed to geom_point.

            Source https://stackoverflow.com/questions/65515063

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

            Vulnerabilities

            No vulnerabilities reported

            Install ggdist

            You can install the currently-released version from CRAN with this R command:.

            Support

            I welcome feedback, suggestions, issues, and contributions! Contact me at mjskay@northwestern.edu. If you have found a bug, please file it here with minimal code to reproduce the issue. Pull requests should be filed against the dev branch.
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