comparison CorrTable/Corr_wrap.r @ 0:b22c453e4cf4 draft

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author melpetera
date Thu, 11 Oct 2018 05:35:55 -0400
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children 29ec7e3afdd4
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-1:000000000000 0:b22c453e4cf4
1 #!/usr/bin/Rscript --vanilla --slave --no-site-file
2
3 ################################################################################################
4 # WRAPPER FOR Corr_Script_samples_row.R (CORRELATION TABLE) #
5 # #
6 # Author: Ophelie BARBET #
7 # User: Galaxy #
8 # Original data: used with Corr_Script_samples_row.R #
9 # Starting date: #
10 # V-1: First version of wrapper #
11 # #
12 # #
13 # Input files: 2 tables with common samples file #
14 # Output files: Correlation table ; Heatmap file #
15 # #
16 ################################################################################################
17
18
19 library(batch) #necessary for parseCommandArgs function
20 args = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects
21
22 source_local <- function(...){
23 argv <- commandArgs(trailingOnly = FALSE)
24 base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
25 for(i in 1:length(list(...))){source(paste(base_dir, list(...)[[i]], sep="/"))}
26 }
27 #Import the different functions
28 source_local("Corr_Script_samples_row.R")
29
30
31 if(length(args) < 10){ stop("NOT enough argument !!!") }
32
33
34 cat('\n--------------------------------------------------------------------',
35 '\nParameters used in "Between-table Correlation":\n\n')
36 print(args)
37 cat('--------------------------------------------------------------------\n\n')
38
39
40 risk_alpha <- NULL
41 correct_multi <- NULL
42 if(args$test_corr == "yes"){
43 risk_alpha <- args$risk_alpha
44 correct_multi <- args$correct_multi
45 }
46
47 filters_choice <- NULL
48 threshold <- NULL
49 if(args$filter == "yes"){
50 filters_choice <- args$filters_choice
51 if(filters_choice == "filters_0_thr"){
52 threshold <- args$threshold
53 }
54 }
55
56 type_classes <- NULL
57 reg_class_value <- NULL
58 irreg_class_vect <- NULL
59 if(args$color_heatmap == "yes"){
60 type_classes <- args$type_classes
61 if(type_classes == "regular"){
62 reg_class_value <- args$reg_class_value
63 } else if(type_classes == "irregular"){
64 irreg_class_vect <- eval(parse(text=paste0("c",args$irreg_class_vect)))
65 }
66 }
67
68
69 correlation.tab(args$tab1_in, args$tab2_in, args$tab1_samples, args$tab2_samples, args$corr_method, args$test_corr, risk_alpha, correct_multi, args$filter, filters_choice, threshold,
70 args$reorder_var, args$color_heatmap, type_classes, reg_class_value, irreg_class_vect, args$tabcorr_out, args$heatmap_out)
71
72
73 cat('\n--------------------------------------------------------------------',
74 '\nInformation about R (version, Operating System, attached or loaded packages):\n\n')
75 sessionInfo()
76 cat('--------------------------------------------------------------------\n\n')
77
78
79 #delete the parameters to avoid the passage to the next tool in .RData image
80 rm(args)