smplot2 (version 0.2.5)

sm_corr_avgErr: Superimposition of the average point with horizontal and vertical error bars in the correlation plot

Description

Superimposition of the average point with horizontal and vertical error bars in the correlation plot

Usage

sm_corr_avgErr(
  data,
  x,
  y,
  point.params = list(size = 2.5),
  errh.params = list(height = 0),
  errv.params = list(width = 0),
  errorbar_type = "se",
  ...
)

Value

A point with error bars representing the average will be returned.

Arguments

data

Data frame variable that is used for plotting.

x

Column of the data frame that represents the x-axis.

y

Column of the data frame that represents the y-axis.

point.params

List of parameters for the mean point, such as color, alpha, fill etc

errh.params

List of parameters for the horizontal error bar, such as color, alpha, fill etc

errv.params

List of parameters for the vertical points, such as color, alpha, fill etc

errorbar_type

This argument determines the error bar type. If it is set to 'se' , standard error bar will be shown. If it is set to 'sd', the error bar will display standard deviation. If it is set to 'ci' (default), the error bar will display 95% confidence interval.

...

A generic aesthetic parameter across points and error bars. This is optional.

Examples

library(smplot2)
library(ggplot2)
ggplot(data = mtcars, mapping = aes(x = drat, y = mpg)) +
geom_point(shape = 21, size = 3) +
 sm_corr_avgErr(mtcars, drat,mpg, errorbar_type = 'se',
                color = sm_color('red'))