ggdist | Visualizations of distributions and uncertainty | Data Visualization library
kandi X-RAY | ggdist Summary
kandi X-RAY | ggdist Summary
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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Community Discussions
Trending Discussions on ggdist
QUESTION
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 11:43I 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.
QUESTION
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 16:17Could you just use two interval statements?
QUESTION
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 13:20Use ggforce::geom_link
alpha = stat(index) is just one option, from the documentation.
QUESTION
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.
QUESTION
I have below ggplot
:-
ANSWER
Answered 2021-Oct-20 at 18:58Be sure that aes and data in geom_textbox override ggplot().
QUESTION
I have 2 ggplots
generated by below codes
ANSWER
Answered 2021-Oct-19 at 18:05Similar to eipi10
's comment:
QUESTION
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 21:25The 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.
QUESTION
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 04:45Before use ggplot(.....)
, filter first and then draw plot will work. base_breaks()
doesn't exist, so I remove that.
QUESTION
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 23:37Ah 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.
QUESTION
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 06:19I'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
.
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