add_mean_bar | R Documentation |
Add mean
add_mean_bar(
plot,
dodge_width = NULL,
width = 0.6,
saturation = 1,
preserve = "total",
...
)
add_mean_dash(
plot,
dodge_width = NULL,
width = 0.6,
linewidth = 0.25,
preserve = "total",
...
)
add_mean_dot(plot, dodge_width = NULL, size = 2, preserve = "total", ...)
add_mean_value(
plot,
dodge_width = NULL,
accuracy = 0.1,
scale_cut = NULL,
fontsize = 7,
extra_padding = 0.15,
vjust = NULL,
hjust = NULL,
preserve = "total",
...
)
add_mean_line(
plot,
group,
dodge_width = NULL,
linewidth = 0.25,
preserve = "total",
...
)
add_mean_area(
plot,
group,
dodge_width = NULL,
linewidth = 0.25,
preserve = "total",
...
)
plot |
A |
dodge_width |
For adjusting the distance between grouped objects. Defaults
to |
width |
Width of the plot area. Defaults to |
saturation |
A |
preserve |
Should dodging preserve the |
... |
Arguments passed on to the |
linewidth |
Thickness of the line in points (pt). Typical values range between |
size |
A |
accuracy |
A number to round to. Use (e.g.) Applied to rescaled data. |
scale_cut |
Scale cut function to be applied. See |
fontsize |
Font size in points. Defaults to |
extra_padding |
Extra padding to create space for the value label. |
vjust |
Vertical position adjustment of the value label. |
hjust |
Horizontal position adjustment of the value label. |
group |
Variable in the dataset to be used for grouping. |
A tidyplot
object.
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_bar()
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_dash()
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_dot()
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_value()
study |>
tidyplot(x = treatment, y = score) |>
add_mean_line()
study |>
tidyplot(x = treatment, y = score) |>
add_mean_area()
# Combination
study |>
tidyplot(x = treatment, y = score) |>
add_mean_bar(alpha = 0.4) |>
add_mean_dash() |>
add_mean_dot() |>
add_mean_value() |>
add_mean_line()
# Changing arguments: alpha
# Makes objects transparent
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
theme_minimal_y() |>
add_mean_bar(alpha = 0.4)
# Changing arguments: saturation
# Reduces fill color saturation without making the object transparent
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
theme_minimal_y() |>
add_mean_bar(saturation = 0.3)
# Changing arguments: accuracy
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_value(accuracy = 0.01)
# Changing arguments: fontsize
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_value(fontsize = 10)
# Changing arguments: color
study |>
tidyplot(x = treatment, y = score, color = treatment) |>
add_mean_value(color = "black")
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