how to handle levels within categorical variables

[Overcraft90]

I have a dataset with two categorical variable: chromosomes and generations for 23 individuals each one of which has 2 replicates in hap1 and hap2.
In this df I'm counting values of an M-pattern for the 23 individuals, and I would like to represent them with boxplots with associated stats.

In particular, I need to represent on the y-axis the various chromosomes set of generations G1 to G4 while showing whether interactions between them are significant or not.

---

This is the ggstatsplot code I'm using

library(tibble)
library(ggplot2)
library(ggstatsplot)

grouped_ggbetweenstats(data = tmp, x = chr, y = values, 
    grouping.var = hap, type = "nonparametric", ylab = expression(log[10] * 
        "(values)"), violin.args = list(width = 0, linewidth = 0), 
    ggplot.component = list(ggplot2::theme(axis.text.y = ggplot2::element_text(angle = -90, 
        hjust = 0.5)), coord_flip()))

and this is a subset of five individuals out of the 23 over two chromosomes only

tmp <- tibble::tribble(~`M-pattern`, ~id, ~hap, ~values, ~gen, 
    ~chr, "M0", 200080, "hap1", 2, "G3", "chr1", "M1", 200080, 
    "hap1", 4.30102999566398, "G3", "chr1", "M10", 200080, "hap1", 
    0.301029995663981, "G3", "chr1", "M0", 200081, "hap1", 2.30102999566398, 
    "G4", "chr1", "M1", 200081, "hap1", 4.60205999132796, "G4", 
    "chr1", "M10", 200081, "hap1", 0.602059991327962, "G4", "chr1", 
    "M0", 200084, "hap1", 1.69897000433602, "G4", "chr1", "M1", 
    200084, "hap1", 4, "G4", "chr1", "M10", 200084, "hap1", 0, 
    "G4", "chr1", "M0", 200085, "hap1", 2.69897000433602, "G2", 
    "chr1", "M1", 200085, "hap1", 4.17609125905568, "G2", "chr1", 
    "M10", 200085, "hap1", 1.8750612633917, "G2", "chr1", "M0", 
    200086, "hap1", 2.39794000867204, "G1", "chr1", "M1", 200086, 
    "hap1", 3.8750612633917, "G1", "chr1", "M10", 200086, "hap1", 
    2.09691001300806, "G1", "chr1", "M0", 200080, "hap2", 2.60205999132796, 
    "G3", "chr1", "M1", 200080, "hap2", 4.90308998699194, "G3", 
    "chr1", "M10", 200080, "hap2", 0.903089986991944, "G3", "chr1", 
    "M0", 200081, "hap2", 2.90308998699194, "G4", "chr1", "M1", 
    200081, "hap2", 5.20411998265593, "G4", "chr1", "M10", 200081, 
    "hap2", 1.20411998265592, "G4", "chr1", "M0", 200084, "hap2", 
    2.30102999566398, "G4", "chr1", "M1", 200084, "hap2", 4.60205999132796, 
    "G4", "chr1", "M10", 200084, "hap2", 0.602059991327962, "G4", 
    "chr1", "M0", 200085, "hap2", 3.30102999566398, "G2", "chr1", 
    "M1", 200085, "hap2", 4.77815125038364, "G2", "chr1", "M10", 
    200085, "hap2", 2.47712125471966, "G2", "chr1", "M0", 200086, 
    "hap2", 3, "G1", "chr1", "M1", 200086, "hap2", 4.47712125471966, 
    "G1", "chr1", "M10", 200086, "hap2", 2.69897000433602, "G1", 
    "chr1", "M0", 200080, "hap1", 1.14612803567824, "G3", "chr2", 
    "M1", 200080, "hap1", 2.30102999566398, "G3", "chr2", "M10", 
    200080, "hap1", 0.301029995663981, "G3", "chr2", "M0", 200081, 
    "hap1", 1.30102999566398, "G4", "chr2", "M1", 200081, "hap1", 
    2.45178643552429, "G4", "chr2", "M10", 200081, "hap1", 0.477121254719662, 
    "G4", "chr2", "M0", 200084, "hap1", 1, "G4", "chr2", "M1", 
    200084, "hap1", 2.14921911265538, "G4", "chr2", "M10", 200084, 
    "hap1", 0, "G4", "chr2", "M0", 200085, "hap1", 1.50514997831991, 
    "G2", "chr2", "M1", 200085, "hap1", 2.2380461031288, "G2", 
    "chr2", "M10", 200085, "hap1", 1.07918124604762, "G2", "chr2", 
    "M0", 200086, "hap1", 1.34242268082221, "G1", "chr2", "M1", 
    200086, "hap1", 2.08635983067475, "G1", "chr2", "M10", 200086, 
    "hap1", 1.20411998265592, "G1", "chr2", "M0", 200080, "hap2", 
    1.44715803134222, "G3", "chr2", "M1", 200080, "hap2", 2.60205999132796, 
    "G3", "chr2", "M10", 200080, "hap2", 0.602059991327962, "G3", 
    "chr2", "M0", 200081, "hap2", 1.60205999132796, "G4", "chr2", 
    "M1", 200081, "hap2", 2.75281643118827, "G4", "chr2", "M10", 
    200081, "hap2", 0.778151250383644, "G4", "chr2", "M0", 200084, 
    "hap2", 1.30102999566398, "G4", "chr2", "M1", 200084, "hap2", 
    2.45178643552429, "G4", "chr2", "M10", 200084, "hap2", 0.477121254719662, 
    "G4", "chr2", "M0", 200085, "hap2", 1.79934054945358, "G2", 
    "chr2", "M1", 200085, "hap2", 2.53907609879278, "G2", "chr2", 
    "M10", 200085, "hap2", 1.38021124171161, "G2", "chr2", "M0", 
    200086, "hap2", 1.65321251377534, "G1", "chr2", "M1", 200086, 
    "hap2", 2.38916608436453, "G1", "chr2", "M10", 200086, "hap2", 
    1.50514997831991, "G1", "chr2")

---

The problem, as per the image below, is that each chromosome is a clump of all generations G1-4, whereas I need to show each generation as an independent, dodged boxplot (ideally colored by generation of origin) and draw comparisons between them.

This following plot is a very close outcome to the expected result done with ggplot2; however, it has the problem that in order to determine interactions between generations, I had to produce an interaction(gen, chr) which has resulted in unwanted white spaces between boxplots...