Mercurial > repos > marpiech > rnaseq_pro_workflow_tools
comparison tools/script.R @ 3:db5d126bf8d0 draft
planemo upload
| author | marpiech |
|---|---|
| date | Thu, 22 Dec 2016 18:19:53 -0500 |
| parents | c5a812cdf478 |
| children |
comparison
equal
deleted
inserted
replaced
| 2:27e62af48a5a | 3:db5d126bf8d0 |
|---|---|
| 5 statsDataPath = args[2] | 5 statsDataPath = args[2] |
| 6 logFC = args[3] | 6 logFC = args[3] |
| 7 logCPM = args[4] | 7 logCPM = args[4] |
| 8 pValue = args[5] | 8 pValue = args[5] |
| 9 fdr = args[6] | 9 fdr = args[6] |
| 10 | |
| 11 clusterRow = args[7] | |
| 12 clusterCol = args[8] | |
| 13 hclustMethod = args[9] | |
| 14 | |
| 15 mgColumnNm = as.numeric(args[10]) | |
| 16 mgRowNm = as.numeric(args[11]) | |
| 17 | |
| 18 pdfWidth = as.numeric(args[12]) | |
| 19 pdfHeight = as.numeric(args[13]) | |
| 20 | |
| 21 | |
| 22 if(clusterRow == "Yes"){ | |
| 23 clusterRow = TRUE | |
| 24 } else { | |
| 25 clusterRow = NA | |
| 26 } | |
| 27 | |
| 28 if(clusterCol == "Yes"){ | |
| 29 clusterCol = TRUE | |
| 30 } else { | |
| 31 clusterCol = NA | |
| 32 } | |
| 10 | 33 |
| 11 require(preprocessCore) | 34 require(preprocessCore) |
| 12 require(gplots) | 35 require(gplots) |
| 13 | 36 |
| 14 #prepare counts data -------------------------------------------------------- | 37 #prepare counts data -------------------------------------------------------- |
| 47 | 70 |
| 48 colnames(countDataNormLog) = colnames(countData) | 71 colnames(countDataNormLog) = colnames(countData) |
| 49 rownames(countDataNormLog) = rownames(countData) | 72 rownames(countDataNormLog) = rownames(countData) |
| 50 | 73 |
| 51 #svg("heatmap.svg", width = 3+length(names), height = 1/2*length(wh)) | 74 #svg("heatmap.svg", width = 3+length(names), height = 1/2*length(wh)) |
| 52 pdf("heatmap.pdf") | 75 pdf("heatmap.pdf", width = pdfWidth, height = pdfHeight) |
| 53 | 76 |
| 54 heatmap.2( | 77 heatmap.2( |
| 55 countDataNormLog[wh, ], | 78 countDataNormLog[wh, ], |
| 56 density.info=c("none"), | 79 density.info=c("none"), |
| 57 hclustfun = function(x) hclust(x, method = "average"), | 80 hclustfun = function(x) hclust(x, method = hclustMethod), |
| 58 distfun = function(x) as.dist(1-cor(t(x))), | 81 distfun = function(x) as.dist(1-cor(t(x))), |
| 59 col = bluered(50), | 82 col = bluered(50), |
| 60 scale = 'row', | 83 scale = "row", |
| 61 trace = "none", #lwid = c(1, length(names)), lhei = c(1,1/3*length(wh)), | 84 trace = "none", |
| 62 # Rowv=NA, | 85 Rowv = clusterRow, |
| 63 Colv = NA, | 86 Colv = clusterCol, |
| 64 margins = c(7, 8) | 87 margins = c(mgColumnNm, mgRowNm) |
| 65 ) | 88 ) |
| 66 | 89 |
| 67 dev.off() | 90 dev.off() |
| 68 | 91 |
