broomExtra | Helpers for regression analyses using broom | Testing library
kandi X-RAY | broomExtra Summary
kandi X-RAY | broomExtra Summary
The goal of {broomExtra} is to provide helper functions that assist in data analysis workflows involving regression analyses. The goal is to combine the functionality offered by different set of packages through a common syntax to return tidy tibbles containing model parameters and summaries.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of broomExtra
broomExtra Key Features
broomExtra Examples and Code Snippets
## to speed up computation, let's use only 50% of the data
set.seed(123)
library(lme4)
library(ggplot2)
library(broomExtra)
## linear model (tidy analysis across grouping combinations)
grouped_tidy(
data = sample_frac(ggplot2::diamonds, size = 0.5
set.seed(123)
library(lme4)
library(ordinal)
library(broomExtra)
library(dplyr)
## mixed-effects models (`{broom.mixed}` will be used)
lmm.mod <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
broomExtra::tidy(x = lmm.mod, effects = "fixed"
Community Discussions
Trending Discussions on broomExtra
QUESTION
I have written the ggstatsplot
package to carry out some statistical analysis. The package functions (in the development version) can either return a plot
or a call
that contains statistical details displayed in the subtitle of the plot.
Here is an example of a plot
as a return:
ANSWER
Answered 2019-Jun-13 at 16:16It is pretty easy to convert your example to Markdown code. This is nowhere near general, but it is kind of obvious how to extend it to handle other expressions.
The idea is to evaluate the plotmath
expression to form a string that is Markdown. For example, use this function:
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