A 'ggplot2' Extension for Visualizing Density, Distribution, Hazard, or Survival Functions using the 'logspline' Package
added computed stat info
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gglogspline

A ‘ggplot2’ Extension for Visualizing Density, Distribution, Hazard, or Survival Functions using the ‘logspline’ Package

Description

Methods are provided to plot a logspline density, distribution function, hazard function or survival function from a logspline density

What’s Inside The Tin

The following functions are implemented:

  • stat_logspline: Computes logspline density (+ counts estimate), probability, survival & hazard

Installation

install("gglogspline", repos = "https://cinc.rud.is")
# or
devtools::install_git("https://git.sr.ht/~hrbrmstr/gglogspline.git")
# or
devtools::install_git("https://git.rud.is/hrbrmstr/gglogspline.git")
# or
devtools::install_gitlab("hrbrmstr/gglogspline")
# or
devtools::install_bitbucket("hrbrmstr/gglogspline")
# or
devtools::install_github("hrbrmstr/gglogspline")

Usage

library(gglogspline)
library(ggplot2)

# current version
packageVersion("gglogspline")
## [1] '0.1.0'
set.seed(1)
data.frame(
  val = rnorm(100)
) -> xdf

ggplot(xdf) + 
  stat_logspline(aes(val))

ggplot(xdf) + 
  stat_logspline(aes(val, y = stat(count))) +
  labs(title = "logspline (count)")

ggplot(xdf) +
  stat_logspline(aes(val, y = stat(probs))) +
  labs(title = "logspline (probability function)")

ggplot(xdf) +
  stat_logspline(aes(val, y = stat(survival))) +
  labs(title = "logspline (survival function)")

ggplot(xdf) +
  stat_logspline(aes(val, y = stat(hazard))) +
  labs(title = "logspline (hazard function)")

gglogspline Metrics

Lang # Files (%) LoC (%) Blank lines (%) # Lines (%)
R 4 0.8 63 0.66 20 0.45 53 0.59
Rmd 1 0.2 32 0.34 24 0.55 37 0.41

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.