# secMalASCT utilities # # License: GPL version 3 # Jens Mathis Sauer (c) 2020 library(tidyverse) # # Write plot to filename # # This will plot "fun" with arguments "..." as filetype "ftype" and # the output to "filename". Title and legends can be passed as list, # or NULL if not needed. # Default filesize is 3000x3000 px and 300 dpi resolution. # sma_plot_file <- function(fname, ftype, fun) { # Open file for writing ftype(filename = fname, width = 3000, height = 3000, res = 300) fun() # hide "null device 1" in garbage garbage <- dev.off() } # # Load secMalASCT data # # This loads the secMalASCT data from a CSV file and adjusts some # columns to the correct type. # sma_load_data <- function(file) { sma <- as_tibble(read.csv(file, header = TRUE)) # Type adjustments sma$follow_up_multi <- as.logical(sma$follow_up_multi) sma$nicotin_history <- as.logical(sma$nicotin_history) sma$relapse_treatment_asct <- as.logical(sma$relapse_treatment_asct) sma$relapse_treatment_chemotherapy <- as.logical(sma$relapse_treatment_chemotherapy) sma$relapse_treatment_radiotherapy <- as.logical(sma$relapse_treatment_radiotherapy) sma$relapse_treatment_surgery <- as.logical(sma$relapse_treatment_surgery) sma$pre_rt <- as.logical(sma$pre_rt) sma$pre_rt_type <- as.factor(sma$pre_rt_type) sma$post_rt <- as.logical(sma$post_rt) sma$post_rt_type <- as.factor(sma$post_rt_type) sma$pre_alkylating_agents <- as.logical(sma$pre_alkylating_agents) sma$pre_topoisomerase <- as.logical(sma$pre_topoisomerase) sma$pre_anthracyclines <- as.logical(sma$pre_anthracyclines) sma$peri_alkylating_agents <- as.logical(sma$peri_alkylating_agents) sma$peri_topoisomerase <- as.logical(sma$peri_topoisomerase) sma$peri_anthracyclines <- as.logical(sma$peri_anthracyclines) sma$post_alkylating_agents <- as.logical(sma$post_alkylating_agents) sma$post_topoisomerase <- as.logical(sma$post_topoisomerase) sma$post_anthracyclines <- as.logical(sma$post_anthracyclines) sma$maintenance_treatment <- as.logical(sma$maintenance_treatment) sma$maintenance_treatment_time <- as.integer(sma$maintenance_treatment_time) sma$maintenance_treatment_type <- as.factor(sma$maintenance_treatment_type) sma$thalidomid <- as.logical(sma$thalidomid) sma$bortezomib <- as.logical(sma$bortezomib) return(sma) }