LSHTM_analysis/scripts/functions/redundant/test_lf_bp_with_stats.R

83 lines
2.9 KiB
R

setwd("~/git/LSHTM_analysis/scripts/plotting/")
source("../functions/lf_bp_with_stats.R")
source("../functions/lf_bp.R")
######################
# Make plot
######################
# Note: Data
# run other_plots_data.R
# to get the long format data to test this function
lf_bp(lf_df = lf_dynamut2
, p_title = "Dynamut2"
, colour_categ = "ddg_dynamut2_outcome"
, x_grp = "mutation_info"
, y_var = "param_value"
, facet_var = "param_type"
, n_facet_row = 1
, y_scales = "free_y"
, colour_bp_strip = "khaki2"
, dot_size = 3
, dot_transparency = 0.3
, violin_quantiles = c(0.25, 0.5, 0.75)
, my_ats = 22 # axis text size
, my_als = 20 # axis label size
, my_fls = 20 # facet label size
, my_pts = 22 # plot title size
, make_boxplot = F
, bp_width = "auto"
, add_stats = T
, stat_grp_comp = c("DM", "OM")
, stat_method = "wilcox.test"
, my_paired = FALSE
, stat_label = c("p.format", "p.signif") )
# foo = lf_dynamut2 %>%
# group_by(mutation_info, param_type) %>%
# summarise( Mean = mean(param_value, na.rm = T)
# , SD = sd(param_value, na.rm = T)
# , Median = median(param_value, na.rm = T)
# , IQR = IQR(param_value, na.rm = T) )
# Quick tests
plotdata_sel = subset(lf_dynamut2
, lf_dynamut2$param_type == "ASA")
plot_sum = plotdata_sel %>%
group_by(mutation_info, param_type) %>%
summarise(n = n()
, Mean = mean(param_value, na.rm = T)
, SD = sd(param_value, na.rm = T)
, Min = min(param_value, na.rm = T)
, Q1 = quantile(param_value, na.rm = T, 0.25)
, Median = median(param_value, na.rm = T)
, Q3 = quantile(param_value, na.rm = T, 0.75)
, Max = max(param_value, na.rm = T) ) %>%
rename('Mutation Class' = mutation_info
, Parameter = param_type)
plot_sum = as.data.frame(plot_sum, row.names = NULL)
plot_sum
bar = compare_means(param_value ~ mutation_info
, group.by = "param_type"
, data = plotdata_sel
, paired = FALSE
, p.adjust.method = "BH")
bar2 = bar[c("param_type"
, "group1"
, "group2"
, "p.format"
, "p.signif"
, "p.adj")] %>%
rename(Parameter = param_type
, Group1 = group1
, Group2 = group2
, "P-value" = p.format
, "P-sig" = p.signif
, "P-adj" = p.adj)
bar2 = data.frame(bar2); bar2
library(Hmisc)
describe(lf_dynamut2)