#!/usr/bin/Rscript getwd() setwd('~/git/covid_analysis/') getwd() ############################################################ # TASK: checking stats from manuscript ############################################################ # source data source("read_data.R") #%%======================================================== # read file lf_data = read.csv(infile_icu_lf , stringsAsFactors = F) dim(lf_data) wf_data = read.csv(infile_icu_wf , stringsAsFactors = F) dim(wf_data) lf_t1 = lf_data[lf_data$timepoint == "t1",] lf_death_t1 = lf_t1[lf_t1$outcomes == 0,] lf_recovered_t1 = lf_t1[lf_t1$outcomes == 1,] wf_death = wf_data[wf_data$outcomes == 0,] wf_recovered = wf_data[wf_data$outcomes == 1,] kruskal.test(wf_death$Angiopoietin2_pgmL_t1, wf_death$Angiopoietin2_pgmL_t2, wf_death$Angiopoietin2_pgmL_t3) friedman.test(wf_death$Angiopoietin2_pgmL_t1, wf_recovered$Angiopoietin2_pgmL_t1) wilcox.test(wf_data$sRAGE_pgmL_t1, wf_data$sRAGE_pgmL_t3) # checks # sRAGE wilcox.test(wf$sRAGE_pgmL_t1, wf$sRAGE_pgmL_t3, paired = T) # 0.00039 ks.test(wf_death$sRAGE_pgmL_t1, wf_death$sRAGE_pgmL_t2, wf_death$sRAGE_pgmL_t3) ks.test(wf_death$sRAGE_pgmL_t1, wf_death$sRAGE_pgmL_t3) wilcox.test(wf_death$sRAGE_pgmL_t1, wf_death$sRAGE_pgmL_t3, paired = T) summary(wf_death$sRAGE_pgmL_t1) ks.test(lf_death_t1$value[lf_death_t1$mediator == "sRAGE"] , lf_recovered_t1$value[lf_recovered_t1$mediator == "sRAGE"]) #t1 median(lf_t1$value[lf_t1$mediator == "sRAGE"]) summary(lf_t1$value[lf_t1$mediator == "sRAGE"]) # t2 lf_t2 = lf_data[lf_data$timepoint == "t2",] median(lf_t2$value[lf_t2$mediator == "sRAGE"], na.rm = T) summary(lf_t2$value[lf_t2$mediator == "sRAGE"], na.rm = T) #t3 lf_t3 = lf_data[lf_data$timepoint == "t3",] median(lf_t3$value[lf_t3$mediator == "sRAGE"], na.rm = T) summary(lf_t3$value[lf_t3$mediator == "sRAGE"], na.rm = T) # for trend lf_death = lf_data[lf_data$outcomes == 0,] lf_recovered = lf_data[lf_data$outcomes == 1,] ks.test(lf_death$value[lf_death$mediator == "sRAGE"] , lf_recovered$value[lf_recovered$mediator == "sRAGE"])