Repository 'prisca'
hg clone https://toolshed.g2.bx.psu.edu/repos/davidvanzessen/prisca

Changeset 5:bcf1469e8feb (2017-10-02)
Previous changeset 4:89d80f086328 (2017-09-25) Next changeset 6:a9d2ed661541 (2017-10-05)
Commit message:
Uploaded
modified:
RScript.r
b
diff -r 89d80f086328 -r bcf1469e8feb RScript.r
--- a/RScript.r Mon Sep 25 08:20:12 2017 -0400
+++ b/RScript.r Mon Oct 02 09:24:25 2017 -0400
[
@@ -47,7 +47,7 @@
 cat("<tr><td>Calculating Frequency</td></tr>", file=logfile, append=T)
 
 dat$Frequency = ((10^dat$Log10_Frequency)*100)
-dat = dat[dat$Frequency <= 100,] #just in case
+dat = dat[dat$Frequency <= 100,] #just in case?
 
 dat = dat[dat$Frequency >= min_freq,]
 
@@ -169,7 +169,7 @@
     scatterplot_data = scatter_locus_data_list[[patient]]
     cat(paste("<td>", nrow(patient1), " in ", oneSample, " and ", nrow(patient2), " in ", twoSample, ", ", nrow(patientMerge), " in both (fetched from cache)</td></tr>", sep=""), file=logfile, append=T)
     
-    print(names(patient.merge.list))
+    #print(names(patient.merge.list))
   } else {
     #fuzzy matching here...
     
@@ -773,15 +773,15 @@
 
  } else if(nrow(rows.1) > 1){
  patient1 = patient1[!(patient1$Clone_Sequence %in% rows.1$Clone_Sequence),]
- print(names(patient1)[names(patient1) %in% sum.1])
- print(names(patient1)[!(names(patient1) %in% sum.1)])
- print(names(patient1))
- print(names(sum.1))
- print(summary(sum.1))
- print(summary(patient1))
- print(dim(sum.1))
- print(dim(patient1))
- print(head(sum.1[,names(patient1)]))
+ #print(names(patient1)[names(patient1) %in% sum.1])
+ #print(names(patient1)[!(names(patient1) %in% sum.1)])
+ #print(names(patient1))
+ #print(names(sum.1))
+ #print(summary(sum.1))
+ #print(summary(patient1))
+ #print(dim(sum.1))
+ #print(dim(patient1))
+ #print(head(sum.1[,names(patient1)]))
  patient1 = rbind(patient1, sum.1[,names(patient1)])
  patient.fuzzy = patient.fuzzy[-match.filter.1,]
  } else {
@@ -1042,7 +1042,7 @@
  product = data.frame("Titles"=rep(Titles, each=length(interval)), "interval"=rep(interval, times=10), "V_Segments"=rep(V_Segments, each=length(interval)), "J_Segments"=rep(J_Segments, each=length(interval)))
 
  triplets = split(triplets, triplets$Patient, drop=T)
- print(nrow(triplets))
+ #print(nrow(triplets))
  for(triplet in triplets){
  samples = unique(triplet$Sample)
  one = triplet[triplet$Sample == samples[1],]