I have a plot which shows 6 plots for a variable called trial (called Base1, Base2, etc) for a variable called load. With 3 loads. To besser compare them I want to have Base 1 of each load (1,3,5) next to each other. Same with Base 2 and so on. I can't figure out how to sort by trial while still maintaining individual plots for each load condition. Anyone got any ideas? Here's my R code:
# do the same as boxplot
load_all_base6_pm6_load_boxplot <- load_all_vp_avg_load |>
dplyr::filter(trial != "" & trial != "Practice") |>
ggplot(aes(x = trial, y = avg_color_angle_abs_deviation, fill = trial)) +
geom_boxplot() + # Use geom_boxplot to create a boxplot
geom_point(aes(x = trial, y = avg_color_angle_abs_deviation), color = "black", size = 2) +
labs(x = "Trial load 5", y = "Average Color Angle Deviation abs") + # Add axis labels
theme_minimal() +
facet_wrap( ~ load, labeller = labeller(load = function(variable) paste("Load", variable)))
load_all_base6_pm6_load_boxplot <- load_all_base6_pm6_load_boxplot +
geom_text(data = load_all_vp_avg_load %>%
dplyr::filter(trial != "" & trial != "Practice") %>%
dplyr::filter(avg_color_angle_abs_deviation %in% outliers_all),
aes(x = trial, y = avg_color_angle_abs_deviation, label = url_code),
vjust = -1) +
facet_wrap(~ load, labeller = labeller(load = function(variable) paste("Load", variable)))
Tried the creating a order
desired_order <- c("Base1", "Base2", "Base3")
and implementing it
load_all_vp_avg_load$trial <- factor(load_all_vp_avg_load$trial, levels = desired_order)
I tried using reorder
ggplot(aes(x = reorder(trial, trial), y = avg_color_angle_abs_deviation, fill = trial)) +
However this only sorts them min to max