This manual palette can handle a maximum of 10 values. You have supplied 12

[arroe99]

library(readxl)
df = read_excel("testcode.xls", sheet = 1, na = "NA")

long_df <- df %>%

• pivot_longer(cols = everything(), names_to = "Region", values_to = "Value")

table(long_df$Region)

Central [NNS] Central [NS] Frontal [NNS] Frontal [NS]
200 200 200 200
Overall[NNS] Overall[NS] Parietal [NNS] Parietal [NS]
200 200 200 200
Prefrontal [NNS] Prefrontal [NS] Temporal [NNS] Temporal [NS]
200 200 200 200

idx <- list(

• c("Overall[NS]", "Overall[NNS]"),
• c("Prefrontal [NS]", "Prefrontal [NNS]"),
• c("Frontal [NS]", "Frontal [NNS]"),
• c("Temporal [NS]", "Temporal [NNS]"),
• c("Central [NS]", "Central [NNS]"),
• c("Parietal [NS]", "Parietal [NNS]")
• )

dabest_obj <- long_df %>%

• dabestr::load(x = Region, y = Value,

•    idx = idx)
  

dabest_obj %>%

• mean_diff() %>%
• dabest_plot()
  Warning messages:
  1: This manual palette can handle a maximum of 10 values. You have supplied 12
  2: Removed 400 rows containing missing values or values outside the scale range
  (geom_point()).
  3: In get_plot_component(plot, "guide-box") :
  Multiple components found; returning the first one. To return all, use return_all = TRUE.
  4: This manual palette can handle a maximum of 10 values. You have supplied 12
  5: Removed 400 rows containing missing values or values outside the scale range
  (geom_point()).
  6: This manual palette can handle a maximum of 10 values. You have supplied 12

[arroe99]

First of all, I'm sorry that my code format is a bit messy.
My problem is just as the title of this issue. My data has 12 columns, but when drawing the graph, it can only accept up to 10 categories, resulting in the last two categories being blank in the graph.
What should I do to solve this problem?