Jitter | 1st Jan

I'm having trouble with the facet.by parameter of the ggerrorplot fonction. When I use a grouping variable, the facets still show all data labels in both groups, but with blank spaces. Is there a way to erase the extra labels, or to recreate this in ggplot? thanks!

I have an issue with jittery movement and I have searched the internet thin and tried countless solutions, but none have worked.

Essentially, I am moving a 2D Enemy GameObject towards my player, which involves moving and rotating at the same time.

At the start it is smooth, but when my player shoots the Enemy, causing it to fly backwards because of the RigidBody2D physics, it starts jittering when it rotates back towards my player.

Also, when my enemy tries to rotate back towards my player after getting hit, it struggles to aim/rotate directly at my player. It's just kind of struggling to rotate the last 20 degrees while jittering.

I have tried EVERY combination of using velocity and AddForce for movement, and using FromToRotation, RotateTowards, Lerp, and Slerp for rotation.

I have tried using both Update, LateUpdate, and FixedUpdate for either or both moving and rotating.

I have tried setting the GameObjects Interpolation to None, Interpolate and Extrapolate.

Nothing works.

My best guess is that my RotateEnemy() somehow gets confused about what "forward" is after getting hit, and doesn't know what to point at the player.

Here is a video showing the issue:

https://www.youtube.com/watch?v=SJwn4I74znQ&ab_channel=DanielNielsen

Here is the script I have on my Enemy gameobject:

I'm using this nice boxplot graph, answer from @Parfait.

1. I got an out of bound error on j and had to use range(i*5,i*5+5). Why?
2. I'd like to set the median to a particular color, let's say red. medianprops=dict(color="red") won't work. How to do it?
3. How to set the y-axis tick labels to the same color as the boxes?

Disclaimer: I don't know what I'm doing.

Here's the code using random data :

not very big on JS. I currently have a script I use to load/change background images every xxx seconds.

What I would like is to display an image and preload the next one so it displays seamlessly (ie: no jittering or slow loads).

Here is my current script, can this be adapted to achieve such a result?

The question I have has mostly been answered by the following post: Cannot update/edit ggplot2 object exported from a package (`gratia`) in R. When I refer to the mydraw.gam function, it comes from code in that post. What I am trying to do is use the mydraw.gam function with a rugplot that looks like the gratia::draw() function.

This is my data:

I'm trying to include a black box likelihood function in a pymc3 model. This likelihood function just takes a vector of parameter values and returns the likelihood (all data is already included in the function).

So far I've been following this guide and have modified the code as follows to accommodate the fact my model only has one parameter k.

One of the variables in my data frame is a factor denoting whether an amount was gained or spent. Every event has a "gain" value; there may or may not be a corresponding "spend" amount. Here is an image with the observations overplotted:

Adding some random jitter helps visually, however, the "spend" amounts are divorced from their corresponding gain events:

I'd like to see the blue circles "bullseyed" in their gain circles (where the "id" are equal), and jittered as a pair. Here are some sample data (three days) and code:

I want to plot the regression between a response variable and one of the explanatory variables in a mixed effects model while also showing the data points. For this I am using the function plot_model(). I would also like the data points to have different colours or shapes according to the random effect. I do not want to plot the different regression lines for each level of the random effect. Is this possible with plot_model?

This is the data:

C++20 concepts adds an alternative way to access iterator traits. For example iter_value_t gives a similar result as iterator_traits::value_type.I have noticed that iterator_traits do not appear to work in concept constraints. iter_value_t works for concepts, but it also works everywhere else. So my hunch is I should use the newer iter_value_t since it works in both contexts.