ggPoints: Make an interactive scatterplot with regression line(s)

In ggiraphExtra: Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'

Description

Make an interactive scatterplot with regression line(s)

Usage

ggPoints(
  data,
  mapping,
  smooth = TRUE,
  se = TRUE,
  method = "auto",
  formula = y ~ x,
  fullrange = FALSE,
  level = 0.95,
  use.count = FALSE,
  maxfactorno = 6,
  digits = 2,
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  use.label = TRUE,
  use.labels = TRUE,
  tooltip = NULL,
  interactive = FALSE,
  ...
)

Arguments

data	a data.frame
mapping	Set of aesthetic mappings created by aes or aes_.
smooth	Logical. Add regression lines to the scatter plot
se	Logical. display confidence interval around linear regression? (TRUE by default)
method	smoothing method (function) to use, eg. "lm", "glm", "gam", "loess", "rlm"
formula	formula to use in smoothing function, eg. y ~ x, y ~ poly(x, 2), y ~ log(x)
fullrange	should the fit span the full range of the plot, or just the data
level	level of confidence interval to use (0.95 by default)
use.count	Logical. If true use geom_count instead of geom_point_interactive
maxfactorno	An integer. Maximum unique number of a numeric vector treated as a factor
digits	integer indicating the number of decimal places
title	The text for plot title
subtitle	The text for plot subtitle
caption	The text for plot caption
use.label	Logical. Whether or not use column label in case of labelled data
use.labels	Logical. Whether or not use value labels in case of labelled data
tooltip	A character string of column name be included in tooltip. Default value is NULL
interactive	A logical value. If TRUE, an interactive plot will be returned
...	other arguments passed on to geom_point

Examples

require(ggplot2)
require(ggiraph)
require(plyr)
ggPoints(aes(x=wt,y=mpg,fill=am),data=mtcars)
ggPoints(aes(x=wt,y=mpg),data=mtcars)
ggPoints(aes(x=wt,y=mpg,fill=am),data=mtcars,method="lm",interactive=TRUE)
ggPoints(aes(x=wt,y=mpg,color=am),data=mtcars,interactive=TRUE)

Example output

Loading required package: ggplot2
Loading required package: ggiraph
Loading required package: plyr

ggiraphExtra documentation built on Oct. 23, 2020, 7:39 p.m.