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2.7 KiB
2.7 KiB
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 logpline density (+ counts estimate), probability, survival & hazard
Installation
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 | 0.67 | 20 | 0.45 | 53 | 0.6 |
Rmd | 1 | 0.2 | 31 | 0.33 | 24 | 0.55 | 36 | 0.4 |
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.