easystats / easystats/modelbased
add_data for estimate_contrasts
Open
Nobody has claimed this yet.
Feature idea :fire:
- Dominant language
- R
- Stars
- 263
- Forks
- 22
- Avg merge
- 1h 22m
- Merged PRs (30d)
- 11
Description
It would be really nice if the plot method for estimate_contrasts had an argument to add the relevant raw data to the plot, ala:
library(modelbased)
library(see)
library(ggplot2)
model <- lm(Sepal.Width ~ Species, data = iris)
contrasts <- estimate_contrasts(model)
means <- estimate_means(model)
plot(contrasts, means) + geom_jitter2(aes(x = Species, y = Sepal.Width), data = iris, width = .2, height = 0, alpha = .2) + ylab("Sepal.Width")
Created on 2021-05-29 by the reprex package (v2.0.0)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the plot method for estimate_contrasts and the estimate_contrasts and estimate_means examples shown in the issue. Compare the requested plot output with the supplied iris data and confirm that the finished behavior can add the relevant raw observations to the contrasts plot without requiring manual geom_jitter2 layering.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100