add_sem_errorbar()
adds the standard error of mean.add_range_errorbar()
adds the range from smallest to largest value.add_sd_errorbar()
adds the standard deviation.add_ci95_errorbar()
adds the 95% confidence interval.
Usage
add_sem_errorbar(
plot,
dodge_width = NULL,
width = 0.4,
linewidth = 0.25,
preserve = "total",
...
)
add_range_errorbar(
plot,
dodge_width = NULL,
width = 0.4,
linewidth = 0.25,
preserve = "total",
...
)
add_sd_errorbar(
plot,
dodge_width = NULL,
width = 0.4,
linewidth = 0.25,
preserve = "total",
...
)
add_ci95_errorbar(
plot,
dodge_width = NULL,
width = 0.4,
linewidth = 0.25,
preserve = "total",
...
)
Arguments
- plot
A
tidyplot
generated with the functiontidyplot()
.- dodge_width
For adjusting the distance between grouped objects. Defaults to
0.8
.- width
Width of the plot area. Defaults to
50
.- linewidth
Thickness of the line in points (pt). Typical values range between
0.25
and1
.- preserve
Should dodging preserve the
"total"
width of all elements at a position, or the width of a"single"
element?- ...
Arguments passed on to the
geom
function.
Examples
# Standard error of the mean
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_sem_errorbar()
# Range from minimum to maximum value
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_range_errorbar()
# Standard deviation
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_sd_errorbar()
# 95% confidence interval
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_ci95_errorbar()
# Changing arguments: error bar width
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_sem_errorbar(width = 0.8)
# Changing arguments: error bar line width
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_data_points() %>%
add_sem_errorbar(linewidth = 1)