Add ribbon

• add_sem_ribbon() adds the standard error of mean.

• add_range_ribbon() adds the range from smallest to largest value.

• add_sd_ribbon() adds the standard deviation.

• add_ci95_ribbon() adds the 95% confidence interval.

Usage

add_sem_ribbon(plot, dodge_width = NULL, alpha = 0.4, color = NA, ...)

add_range_ribbon(plot, dodge_width = NULL, alpha = 0.4, color = NA, ...)

add_sd_ribbon(plot, dodge_width = NULL, alpha = 0.4, color = NA, ...)

add_ci95_ribbon(plot, dodge_width = NULL, alpha = 0.4, color = NA, ...)

Arguments

plot

A tidyplot generated with the function tidyplot().

dodge_width

For adjusting the distance between grouped objects. Defaults to 0.8.

alpha

A number between 0 and 1 for the opacity of an object. A value of 0 is completely transparent, 1 is completely opaque.

color

A hex color for the stroke color. For example, "#FFFFFF" for white.

...

Arguments passed on to the geom function.

Value

A tidyplot object.

Examples

# Standard error of the mean
time_course %>%
  tidyplot(x = day, y = score, color = treatment, dodge_width = 0) %>%
  add_mean_line() %>%
  add_sem_ribbon()
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).


# Range from minimum to maximum value
time_course %>%
  tidyplot(x = day, y = score, color = treatment, dodge_width = 0) %>%
  add_mean_line() %>%
  add_range_ribbon()
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).


# Standard deviation
time_course %>%
  tidyplot(x = day, y = score, color = treatment, dodge_width = 0) %>%
  add_mean_line() %>%
  add_sd_ribbon()
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).


# 95% confidence interval
time_course %>%
  tidyplot(x = day, y = score, color = treatment, dodge_width = 0) %>%
  add_mean_line() %>%
  add_ci95_ribbon()
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).


# Changing arguments: alpha
time_course %>%
  tidyplot(x = day, y = score, color = treatment, dodge_width = 0) %>%
  add_mean_line() %>%
  add_sem_ribbon(alpha = 0.7)
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).
#> Warning: Removed 170 rows containing non-finite outside the scale range
#> (`stat_summary()`).