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 functiontidyplot()
.- dodge_width
For adjusting the distance between grouped objects. Defaults to
0.8
for plots with at least one discrete axis and0
for plots with two continuous axes.- alpha
A
number
between0
and1
for the opacity of an object. A value of0
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.
Examples
# Standard error of the mean
time_course %>%
tidyplot(x = day, y = score, color = treatment) %>%
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) %>%
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) %>%
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) %>%
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) %>%
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()`).