Add error bar — add_error • tidyplots

add_error() adds the standard error of mean.
add_range() adds the range from smallest to largest value.
add_sd() adds the standard deviation.
add_ci95() adds the 95% confidence interval.

Usage

add_error(
  plot,
  dodge_width = NULL,
  width = 0.4,
  linewidth = 0.25,
  preserve = "total",
  ...
)

add_range(
  plot,
  dodge_width = NULL,
  width = 0.4,
  linewidth = 0.25,
  preserve = "total",
  ...
)

add_sd(
  plot,
  dodge_width = NULL,
  width = 0.4,
  linewidth = 0.25,
  preserve = "total",
  ...
)

add_ci95(
  plot,
  dodge_width = NULL,
  width = 0.4,
  linewidth = 0.25,
  preserve = "total",
  ...
)

Arguments

plot: A tidyplot generated with the function tidyplot().
dodge_width: For adjusting the distance between grouped objects.
width: Horizontal width of the plotted object (bar, error bar, boxplot, violin plot, etc). Typical values range between 0 and 1.
linewidth: Thickness of the line in points (pt). Typical values range between 0.25 and 1.
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.

Value

A tidyplot object

Examples

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_error()
#> ✔ adjust_x_axis: discrete
#> ✔ adjust_y_axis: continuous
#> ℹ adjust_colors: Too many colors. 5 colors provided, but only 4 needed.
#> ✔ adjust_colors: applied discrete color values
#> ✔ adjust_plot_size: width = 50 mm, height = 50 mm

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_range()
#> ✔ adjust_x_axis: discrete
#> ✔ adjust_y_axis: continuous
#> ℹ adjust_colors: Too many colors. 5 colors provided, but only 4 needed.
#> ✔ adjust_colors: applied discrete color values
#> ✔ adjust_plot_size: width = 50 mm, height = 50 mm

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_sd()
#> ✔ adjust_x_axis: discrete
#> ✔ adjust_y_axis: continuous
#> ℹ adjust_colors: Too many colors. 5 colors provided, but only 4 needed.
#> ✔ adjust_colors: applied discrete color values
#> ✔ adjust_plot_size: width = 50 mm, height = 50 mm

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_ci95()
#> ✔ adjust_x_axis: discrete
#> ✔ adjust_y_axis: continuous
#> ℹ adjust_colors: Too many colors. 5 colors provided, but only 4 needed.
#> ✔ adjust_colors: applied discrete color values
#> ✔ adjust_plot_size: width = 50 mm, height = 50 mm