changeset 2:2173ad5e7750 draft default tip

Uploaded
author melpetera
date Wed, 16 Oct 2019 03:12:55 -0400
parents 29ec7e3afdd4
children
files CorrTable/Corr_Script_samples_row.R CorrTable/Corr_wrap.r CorrTable/README.md CorrTable/test-data/output1_CorrTable.tabular CorrTable/test-data/output2_CorrTable.tabular
diffstat 5 files changed, 380 insertions(+), 375 deletions(-) [+]
line wrap: on
line diff
--- a/CorrTable/Corr_Script_samples_row.R	Thu Aug 01 11:30:58 2019 -0400
+++ b/CorrTable/Corr_Script_samples_row.R	Wed Oct 16 03:12:55 2019 -0400
@@ -254,23 +254,23 @@
   
   if (test.corr == "yes"){
     
-    pvalue <- vector()
-    for (i in 1:dim(tab.corr)[1]){
-      for (j in 1:dim(tab.corr)[2]){
-        suppressWarnings(corrtest <- cor.test(tab2[,i], tab1[,j], method = corr.method))
-        pvalue <- c(pvalue, corrtest$p.value)
-        if (multi.name == "none"){
-          if (corrtest$p.value > alpha){
-            tab.corr[i,j] <- 0
-          }
-        }
-      }
-    }
-  
+	repcorrtest1 <- function(vari1,vari2,corrmeth){
+	  suppressWarnings(corrtest <- cor.test(vari2, vari1, method = corrmeth))
+	  return(corrtest$p.value)
+	}
+	repcorrtest2 <- function(stab,ftab,cormeth){
+	  listp <- apply(X=ftab,2,repcorrtest1,vari2=stab,corrmeth=cormeth)
+	  return(listp)
+	}
+	pvalue <- apply(X=tab1,2,repcorrtest2,ftab=tab2,cormeth=corr.method)
+	
+	
     if(multi.name != "none"){
-      adjust <- matrix(p.adjust(pvalue, method = multi.name), nrow = dim(tab.corr)[1], ncol = dim(tab.corr)[2], byrow = T)
-      tab.corr[adjust > alpha] <- 0
-    }
+      pvalue <- matrix(p.adjust(pvalue, method = multi.name), nrow = dim(tab.corr)[1], ncol = dim(tab.corr)[2])
+    } 
+	
+	tab.corr[pvalue > alpha] <- 0 
+	
   }  
   
   
@@ -416,17 +416,14 @@
     }
     
     # Assign an interval to each correlation coefficient
-    for (i in 1:dim(melted.tab.corr)[1]){
       for (j in 1:(length(cl))){
         if (vect[j] == -1){
-          melted$classe[i][melted$value[i] >= vect[j] 
-                           && melted$value[i] <= vect[j+1]] <- cl[j]
+          melted$classe[melted$value >= vect[j] & melted$value <= vect[j+1]] <- cl[j]
         } else {
-          melted$classe[i][melted$value[i] > vect[j] 
-                           && melted$value[i] <= vect[j+1]] <- cl[j]
+          melted$classe[melted$value > vect[j] & melted$value <= vect[j+1]] <- cl[j]
         }
       }
-    }
+	
     
     # Find the 0 and assign it the white as name
     if (length(which(vect == 0)) == 1) {
@@ -493,5 +490,5 @@
   
   # Function call
   # correlation.tab(tab1.name, tab2.name, param1.samples, param2.samples, corr.method, test.corr, alpha, multi.name, filter,
-  #                             filters.choice, threshold, reorder.var, color.heatmap, type.classes,
+  #                             filters.choice, threshold, reorder.var, plot.choice, color.heatmap, type.classes,
   #                             reg.value, irreg.vect, output1, output2)
--- a/CorrTable/Corr_wrap.r	Thu Aug 01 11:30:58 2019 -0400
+++ b/CorrTable/Corr_wrap.r	Wed Oct 16 03:12:55 2019 -0400
@@ -33,7 +33,8 @@
 if(length(args) < 10){ stop("NOT enough argument !!!") }
 
 
-cat('\n--------------------------------------------------------------------', 
+cat('\nJob starting time:\n',format(Sys.time(), "%a %d %b %Y %X"),
+'\n\n--------------------------------------------------------------------', 
 '\nParameters used in "Between-table Correlation":\n\n')
 print(args)
 cat('--------------------------------------------------------------------\n\n')
@@ -76,7 +77,8 @@
 cat('\n--------------------------------------------------------------------',
 '\nInformation about R (version, Operating System, attached or loaded packages):\n\n')
 sessionInfo()
-cat('--------------------------------------------------------------------\n\n')
+cat('--------------------------------------------------------------------\n',
+'\nJob ending time:\n',format(Sys.time(), "%a %d %b %Y %X"))
 
 
 #delete the parameters to avoid the passage to the next tool in .RData image
--- a/CorrTable/README.md	Thu Aug 01 11:30:58 2019 -0400
+++ b/CorrTable/README.md	Wed Oct 16 03:12:55 2019 -0400
@@ -43,3 +43,9 @@
 -----------
 
  * Help and support: support@workflow4metabolomics.org
+
+
+License
+-----------
+
+ * Cea Cnrs Inria Logiciel Libre License, version 2.1 (CECILL-2.1)
--- a/CorrTable/test-data/output1_CorrTable.tabular	Thu Aug 01 11:30:58 2019 -0400
+++ b/CorrTable/test-data/output1_CorrTable.tabular	Wed Oct 16 03:12:55 2019 -0400
@@ -1,6 +1,6 @@
-name	M200T2618	M108T2759	M253T1601	M562T393	M140T2817	M317T2417	M498T712	M897T2828	M879T105	M413T2867	M782T2391	M835T963	M324T1666	M79T1303	M567T390	M207T2257	M232T997	M997T2834	M295T842	M958T481	M150T423	M964T1077	M510T148	M454T809
-Meta01	-0.0381099621034071	-0.0308771792251864	0.335303270663461	0.340984721652527	-0.392239536011236	0.308531863601226	-0.38276470907866	0.192781243616334	0.316953616678778	0.153455904743321	-0.145045084107932	-0.364896936594001	0.320967727079532	-0.377104415194285	0.373071418741227	0.352800416562518	0.319463412900551	0.324078173113261	0.306620047017588	0.326582168629611	0.0172092079575711	0.304807387613331	0.316450509570112	0.376440463645976
-Meta09	-0.0767546658101883	-0.129626792377785	0.101928911670895	0.115483290871375	-0.0234245956756988	0.0904474725214124	-0.024461194882052	-0.121320087678368	0.130125017347287	0.308155645217747	0.0831122451923826	0.0506561387912013	0.117292511090864	-0.0123538963682085	0.0267655184532761	-0.0161389675179283	0.0993591777883074	0.107454649875267	0.136562668239795	0.10755851274508	0.254034021197444	0.130672738299945	0.11062439577984	0.0687702584250841
-Meta15	0.0272019471781163	0.0310419371165683	-0.136260855677388	-0.0630013735941506	-0.0545937867718303	-0.135844925260746	-0.00952598537394389	-0.0207933370871036	-0.0524941400856259	-0.0369194221976208	0.354806184152381	-0.0056322067135378	-0.108772516379943	-0.0277111328940591	-0.171696474385562	-0.158841609776784	-0.0384562204512248	-0.0881771505485084	-0.0210940775418372	-0.060166862529553	-0.00276367086310437	-0.0471787341544353	-0.0764277784424161	-0.0977299103436893
-Meta22	0.120785153157455	0.0749336584503277	-0.0270536732280649	-0.0536052973820058	-0.150016784385942	-0.0632347476656861	-0.132863877612795	0.303035673758439	-0.133995542749929	0.000998502460650215	-0.139343133878119	-0.116656852987757	-0.0993268136599691	-0.128198216041191	-0.0553520708094436	0.0371066253540359	-0.0465298462059366	-0.05907858722759	-0.0866948285493421	-0.0495558714805468	0.203647127547309	-0.0528204949117596	-0.071940864021075	0.0345675482658712
-Meta23	0.326485225265319	0.304169001191892	0.00115369881122672	0.0301042258910735	-0.103162606015147	0.0537101596905055	-0.0783558303219841	0.0274704272882075	0.114237409683009	-0.0967931551436498	0.0975083134993656	-0.102156817498172	0.00470481879378514	-0.116990014334093	-0.0211850133509491	-0.0299843961961325	-0.103705033450308	0.0145444087397323	0.0736370908927353	-0.0767582436873565	0.32405558752902	0.0067286262747507	-0.0126106752475632	-0.0716433234564737
+name	M200T2618	M108T2759	M253T1601	M562T393	M140T2817	M317T2417	M498T712	M897T2828	M879T105	M413T2867	M782T2391	M835T963	M324T1666	M79T1303	M567T390	M207T2257	M232T997	M997T2834	M295T842	M958T481	M150T423	M964T1077	M510T148	M454T809
+Meta01	-0.0381099621034071	-0.0308771792251864	0.335303270663461	0.340984721652527	-0.392239536011236	0.308531863601226	-0.38276470907866	0.192781243616334	0.316953616678778	0.153455904743321	-0.145045084107932	-0.364896936594001	0.320967727079532	-0.377104415194285	0.373071418741227	0.352800416562518	0.319463412900551	0.324078173113261	0.306620047017588	0.326582168629611	0.0172092079575711	0.304807387613331	0.316450509570112	0.376440463645976
+Meta09	-0.0767546658101883	-0.129626792377785	0.101928911670895	0.115483290871375	-0.0234245956756988	0.0904474725214124	-0.024461194882052	-0.121320087678368	0.130125017347287	0.308155645217747	0.0831122451923826	0.0506561387912013	0.117292511090864	-0.0123538963682085	0.0267655184532761	-0.0161389675179283	0.0993591777883074	0.107454649875267	0.136562668239795	0.10755851274508	0.254034021197444	0.130672738299945	0.11062439577984	0.0687702584250841
+Meta15	0.0272019471781163	0.0310419371165683	-0.136260855677388	-0.0630013735941506	-0.0545937867718303	-0.135844925260746	-0.00952598537394389	-0.0207933370871036	-0.0524941400856259	-0.0369194221976208	0.354806184152381	-0.0056322067135378	-0.108772516379943	-0.0277111328940591	-0.171696474385562	-0.158841609776784	-0.0384562204512248	-0.0881771505485084	-0.0210940775418372	-0.060166862529553	-0.00276367086310437	-0.0471787341544353	-0.0764277784424161	-0.0977299103436893
+Meta22	0.120785153157455	0.0749336584503277	-0.0270536732280649	-0.0536052973820058	-0.150016784385942	-0.0632347476656861	-0.132863877612795	0.303035673758439	-0.133995542749929	0.000998502460650215	-0.139343133878119	-0.116656852987757	-0.0993268136599691	-0.128198216041191	-0.0553520708094436	0.0371066253540359	-0.0465298462059366	-0.05907858722759	-0.0866948285493421	-0.0495558714805468	0.203647127547309	-0.0528204949117596	-0.071940864021075	0.0345675482658712
+Meta23	0.326485225265319	0.304169001191892	0.00115369881122672	0.0301042258910735	-0.103162606015147	0.0537101596905055	-0.0783558303219841	0.0274704272882075	0.114237409683009	-0.0967931551436498	0.0975083134993656	-0.102156817498172	0.00470481879378514	-0.116990014334093	-0.0211850133509491	-0.0299843961961325	-0.103705033450308	0.0145444087397323	0.0736370908927353	-0.0767582436873565	0.32405558752902	0.0067286262747507	-0.0126106752475632	-0.0716433234564737
--- a/CorrTable/test-data/output2_CorrTable.tabular	Thu Aug 01 11:30:58 2019 -0400
+++ b/CorrTable/test-data/output2_CorrTable.tabular	Wed Oct 16 03:12:55 2019 -0400
@@ -1,344 +1,344 @@
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