Mercurial > repos > davidvanzessen > prisca
diff RScript.r @ 5:bcf1469e8feb draft
Uploaded
author | davidvanzessen |
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date | Mon, 02 Oct 2017 09:24:25 -0400 |
parents | 89d80f086328 |
children | a9d2ed661541 |
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--- 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],]