Browse Source

spelling

master
boB Rudis 2 years ago
parent
commit
47b26657fc
No known key found for this signature in database GPG Key ID: 1D7529BE14E2BBA9
4 changed files with 5 additions and 5 deletions
  1. +1
    -1
      R/stat-logspline.R
  2. +1
    -1
      README.Rmd
  3. +1
    -1
      README.md
  4. +2
    -2
      man/stat_logspline.Rd

+ 1
- 1
R/stat-logspline.R View File

@ -66,7 +66,7 @@ StatLogspline <- ggproto(
)
#' Computes logpline density (+ counts estimate), probability, survival & hazard
#' Computes logspline density (+ counts estimate), probability, survival & hazard
#'
#' @inheritParams ggplot2::stat_density
#' @param n numbe of points for the density estimation (larger == smoother)


+ 1
- 1
README.Rmd View File

@ -26,7 +26,7 @@ Methods are provided to plot a logspline density, distribution function, hazard
The following functions are implemented:
- `stat_logspline`: Computes logpline density (+ counts estimate), probability, survival & hazard
- `stat_logspline`: Computes logspline density (+ counts estimate), probability, survival & hazard
## Installation


+ 1
- 1
README.md View File

@ -19,7 +19,7 @@ hazard function or survival function from a logspline density
The following functions are implemented:
- `stat_logspline`: Computes logpline density (+ counts estimate),
- `stat_logspline`: Computes logspline density (+ counts estimate),
probability, survival & hazard
## Installation


+ 2
- 2
man/stat_logspline.Rd View File

@ -2,7 +2,7 @@
% Please edit documentation in R/stat-logspline.R
\name{stat_logspline}
\alias{stat_logspline}
\title{Computes logpline density (+ counts estimate), probability, survival & hazard}
\title{Computes logspline density (+ counts estimate), probability, survival & hazard}
\usage{
stat_logspline(mapping = NULL, data = NULL, geom = "area",
position = "identity", na.rm = FALSE, show.legend = NA,
@ -69,7 +69,7 @@ often aesthetics, used to set an aesthetic to a fixed value, like
to the paired geom/stat.}
}
\description{
Computes logpline density (+ counts estimate), probability, survival & hazard
Computes logspline density (+ counts estimate), probability, survival & hazard
}
\examples{
library(ggplot2)


Loading…
Cancel
Save