Mercurial > repos > vandelj > giant_hierarchical_clustering
annotate src/ExprPlotsScript.R @ 4:d75a74a93587 draft default tip
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit 89b7d0e8812f53222691cffe29bd48be6519829d"
author | vandelj |
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date | Fri, 25 Sep 2020 08:52:29 +0000 |
parents | 14045c80a222 |
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rev | line source |
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14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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1 # A command-line interface to basic plots for use with Galaxy |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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2 # written by Jimmy Vandel |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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3 # one of these arguments is required: |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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4 # |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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5 # |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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6 initial.options <- commandArgs(trailingOnly = FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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7 file.arg.name <- "--file=" |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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8 script.name <- sub(file.arg.name, "", initial.options[grep(file.arg.name, initial.options)]) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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9 script.basename <- dirname(script.name) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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10 source(file.path(script.basename, "utils.R")) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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11 source(file.path(script.basename, "getopt.R")) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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12 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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13 #addComment("Welcome R!") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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14 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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15 # setup R error handling to go to stderr |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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16 options( show.error.messages=F, error = function () { cat(geterrmessage(), file=stderr() ); q( "no", 1, F ) } ) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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17 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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18 # we need that to not crash galaxy with an UTF8 error on German LC settings. |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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19 loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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20 loc <- Sys.setlocale("LC_NUMERIC", "C") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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21 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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22 #get starting time |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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23 start.time <- Sys.time() |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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24 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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25 #get options |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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26 options(stringAsfactors = FALSE, useFancyQuotes = FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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27 args <- commandArgs() |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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28 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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29 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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30 # get options, using the spec as defined by the enclosed list. |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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31 # we read the options from the default: commandArgs(TRUE). |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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32 spec <- matrix(c( |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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33 "dataFile", "i", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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34 "factorInfo","t", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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35 "dataFileFormat","j",1,"character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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36 "conditionNames","c",1,"character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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37 "format", "f", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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38 "quiet", "q", 0, "logical", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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39 "log", "l", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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40 "histo" , "h", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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41 "maPlot" , "a", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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42 "boxplot" , "b", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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43 "microarray" , "m", 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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44 "acp" , "p" , 1, "character", |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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45 "screePlot" , "s" , 1, "character"), |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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46 byrow=TRUE, ncol=4) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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47 opt <- getopt(spec) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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48 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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49 # enforce the following required arguments |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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50 if (is.null(opt$log)) { |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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51 addComment("[ERROR]'log file' is required") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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52 q( "no", 1, F ) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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53 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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54 addComment("[INFO]Start of R script",T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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55 if (is.null(opt$dataFile) || is.null(opt$dataFileFormat)) { |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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56 addComment("[ERROR]'dataFile' and it format are required",T,opt$log) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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57 q( "no", 1, F ) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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58 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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59 if (is.null(opt$format)) { |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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60 addComment("[ERROR]'output format' is required",T,opt$log) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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61 q( "no", 1, F ) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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62 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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63 if (is.null(opt$histo) & is.null(opt$maPlot) & is.null(opt$boxplot) & is.null(opt$microarray) & is.null(opt$acp)){ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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64 addComment("[ERROR]Select at least one plot to draw",T,opt$log) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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65 q( "no", 1, F ) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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66 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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67 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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68 verbose <- if (is.null(opt$quiet)) { |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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69 TRUE |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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70 }else{ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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71 FALSE} |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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72 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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73 addComment("[INFO]Parameters checked!",T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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74 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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75 addComment(c("[INFO]Working directory: ",getwd()),TRUE,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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76 addComment(c("[INFO]Command line: ",args),TRUE,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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77 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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78 #directory for plots |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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79 dir.create(file.path(getwd(), "plotDir")) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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80 dir.create(file.path(getwd(), "plotLyDir")) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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81 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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82 #silent package loading |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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83 suppressPackageStartupMessages({ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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84 library("oligo") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
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85 library("ff") |
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86 library("ggplot2") |
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87 library("plotly") |
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88 }) |
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89 |
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90 |
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91 #chargement des fichiers en entrée |
14045c80a222
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92 #fichier de type CEL |
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93 dataAreFromCel=FALSE |
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94 if(toupper(opt$dataFileFormat)=="CEL"){ |
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95 dataAreFromCel=TRUE |
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96 celData=read.celfiles(unlist(strsplit(opt$dataFile,","))) |
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97 #load all expressions |
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98 dataMatrix=exprs(celData) |
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99 #select "pm" probes |
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100 probeInfo=getProbeInfo(celData,probeType = c("pm"),target="probeset") |
14045c80a222
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101 #reduce dataMatrix to log expression matrix for a randomly probe selection |
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102 dataMatrix=log2(dataMatrix[sample(unique(probeInfo[,1]),min(100000,length(unique(probeInfo[,1])))),]) |
14045c80a222
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103 addComment("[INFO]Raw data are log2 transformed",TRUE,opt$log,display=FALSE) |
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104 remove(probeInfo) |
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105 }else{ |
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106 #fichier deja tabule |
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107 dataMatrix=read.csv(file=opt$dataFile,header=F,sep="\t",colClasses="character") |
14045c80a222
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108 #remove first row to convert it as colnames (to avoid X before colnames with header=T) |
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109 colNamesData=dataMatrix[1,-1] |
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110 dataMatrix=dataMatrix[-1,] |
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111 #remove first colum to convert it as rownames |
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112 rowNamesData=dataMatrix[,1] |
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113 dataMatrix=dataMatrix[,-1] |
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114 if(is.data.frame(dataMatrix)){ |
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115 dataMatrix=data.matrix(dataMatrix) |
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116 }else{ |
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117 dataMatrix=data.matrix(as.numeric(dataMatrix)) |
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118 } |
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119 dimnames(dataMatrix)=list(rowNamesData,colNamesData) |
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120 if(any(duplicated(rowNamesData)))addComment("[WARNING] several rows share the same probe/gene name, you should merge or rename them to avoid further analysis mistakes",TRUE,opt$log,display=FALSE) |
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121 } |
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122 |
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123 addComment("[INFO]Input data loaded",TRUE,opt$log,display=FALSE) |
14045c80a222
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124 addComment(c("[INFO]Dim of data matrix:",dim(dataMatrix)),T,opt$log,display=FALSE) |
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125 |
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126 #get number of conditions |
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127 nbConditions=ncol(dataMatrix) |
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128 |
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129 #get condition names if they are specified |
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130 if(!is.null(opt$conditionNames) && length(opt$conditionNames)==nbConditions){ |
14045c80a222
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131 nameConditions=opt$conditionNames |
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132 colnames(dataMatrix)=nameConditions |
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133 #rownames(phenoData(celData)@data)=nameConditions |
14045c80a222
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134 #rownames(protocolData(celData)@data)=nameConditions |
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135 }else{ |
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136 nameConditions=colnames(dataMatrix) |
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137 } |
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138 |
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139 #create a correspondance table between plot file names and name displayed in figure legend and html items |
14045c80a222
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140 correspondanceNameTable=matrix("",ncol=2,nrow=nbConditions) |
14045c80a222
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141 correspondanceNameTable[,1]=paste("Condition",1:nbConditions,sep="") |
14045c80a222
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142 correspondanceNameTable[,2]=nameConditions |
14045c80a222
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143 rownames(correspondanceNameTable)=correspondanceNameTable[,2] |
14045c80a222
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144 |
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145 addComment("[INFO]Retreive condition names",TRUE,opt$log,display=FALSE) |
14045c80a222
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146 |
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147 if(!is.null(opt$factorInfo)){ |
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148 #chargement du fichier des facteurs |
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149 factorInfoMatrix=read.csv(file=file.path(getwd(), opt$factorInfo),header=F,sep="\t",colClasses="character") |
14045c80a222
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150 #remove first row to convert it as colnames |
14045c80a222
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151 colnames(factorInfoMatrix)=factorInfoMatrix[1,] |
14045c80a222
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152 factorInfoMatrix=factorInfoMatrix[-1,] |
14045c80a222
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153 #use first colum to convert it as rownames but not removing it to avoid conversion as vector in unique factor case |
14045c80a222
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154 rownames(factorInfoMatrix)=factorInfoMatrix[,1] |
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155 |
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156 |
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157 if(length(setdiff(colnames(dataMatrix),rownames(factorInfoMatrix)))!=0){ |
14045c80a222
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158 addComment("[ERROR]Missing samples in factor file",T,opt$log) |
14045c80a222
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159 q( "no", 1, F ) |
14045c80a222
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160 } |
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161 |
14045c80a222
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162 #order sample as in expression matrix and remove spurious sample |
14045c80a222
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163 factorInfoMatrix=factorInfoMatrix[colnames(dataMatrix),] |
14045c80a222
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164 |
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165 addComment("[INFO]Factors OK",T,opt$log,display=FALSE) |
14045c80a222
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166 addComment(c("[INFO]Dim of factorInfo matrix:",dim(factorInfoMatrix)),T,opt$log,display=FALSE) |
14045c80a222
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167 |
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168 } |
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169 |
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170 addComment("[INFO]Ready to plot",T,opt$log,display=FALSE) |
14045c80a222
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171 |
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172 |
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173 ##---------------------- |
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174 |
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175 ###plot histograms### |
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176 histogramPerFigure=50 |
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177 if (!is.null(opt$histo)) { |
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178 for(iToPlot in 1:(((nbConditions-1)%/%histogramPerFigure)+1)){ |
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179 firstPlot=1+histogramPerFigure*(iToPlot-1) |
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180 lastPlot=min(nbConditions,histogramPerFigure*iToPlot) |
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181 dataToPlot=data.frame(x=c(dataMatrix[,firstPlot:lastPlot]),Experiment=rep(colnames(dataMatrix)[firstPlot:lastPlot],each=nrow(dataMatrix))) |
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182 p <- ggplot(data=dataToPlot, aes(x = x, color=Experiment)) + stat_density(geom="line", size=1, position="identity") + |
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183 ggtitle("Intensity densities") + theme_bw() + ylab(label="Density") + |
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184 theme(panel.border=element_blank(),plot.title = element_text(hjust = 0.5)) |
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185 if(dataAreFromCel){ |
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186 #original ploting function |
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187 #hist(celData[,firstPlot:lastPlot],lty=rep(1,nbConditions)[firstPlot:lastPlot],lwd=2,which='pm',target="probeset",transfo=log2,col=rainbow(nbConditions)[firstPlot:lastPlot]) |
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188 p <- p + xlab(label="Log2 intensities") |
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189 }else{ |
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190 p <- p + xlab(label="Intensities") |
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191 } |
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192 if(opt$format=="pdf"){ |
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193 pdf(paste(c("./plotDir/",opt$histo,iToPlot,".pdf"),collapse=""))}else{ |
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194 png(paste(c("./plotDir/",opt$histo,iToPlot,".png"),collapse="")) |
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195 } |
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196 print(p) |
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197 dev.off() |
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198 #save plotly files |
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199 pp <- ggplotly(p) |
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200 htmlwidgets::saveWidget(as_widget(pp), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$histo,iToPlot,".html"),collapse=""),selfcontained = F) |
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201 } |
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202 remove(p,dataToPlot) |
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203 addComment("[INFO]Histograms drawn",T,opt$log,display=FALSE) |
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204 } |
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205 |
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206 ##---------------------- |
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207 |
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208 ###plot MAplots### |
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209 MAplotPerPage=4 |
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210 if (!is.null(opt$maPlot)) { |
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211 iToPlot=1 |
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212 plotVector=list() |
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213 toTake=sample(nrow(dataMatrix),min(200000,nrow(dataMatrix))) |
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214 refMedianColumn=rowMedians(as.matrix(dataMatrix[toTake,])) |
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215 if(length(toTake)>100000)addComment(c("[INFO]high number of input data rows ",length(toTake),"; the generation of MA plot can take a while, please be patient"),TRUE,opt$log,display=FALSE) |
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216 for (iCondition in 1:nbConditions){ |
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217 #MAplot(celData,which=i,what=pm,transfo=log2) |
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218 #smoothScatter(x=xToPlot,y=yToPlot,main=nameConditions[iCondition]) |
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219 dataA=dataMatrix[toTake,iCondition] |
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220 dataB=refMedianColumn####ATTENTION PAR DEFAUT |
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221 xToPlot=0.5*(dataA+dataB) |
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222 yToPlot=dataA-dataB |
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223 tempX=seq(min(xToPlot),max(xToPlot),0.1) |
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224 tempY=unlist(lapply(tempX,function(x){median(yToPlot[intersect(which(xToPlot>=(x-0.1/2)),which(xToPlot<(x+0.1/2)))])})) |
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225 |
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226 dataToPlot=data.frame(x=xToPlot,y=yToPlot) |
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227 dataMedianToPlot=data.frame(x=tempX,y=tempY) |
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228 p <- ggplot(data=dataToPlot, aes(x,y)) + stat_density2d(aes(fill = ..density..^0.25), geom = "tile", contour = FALSE, n = 100) + |
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229 scale_fill_continuous(low = "white", high = "dodgerblue4") + geom_smooth(data=dataMedianToPlot,colour="red", size=0.5, se=FALSE) + |
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230 ggtitle(correspondanceNameTable[iCondition,2]) + theme_bw() + xlab(label="") + ylab(label="") + |
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231 theme(panel.border=element_blank(),plot.title = element_text(hjust = 0.5),legend.position = "none") |
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232 plotVector[[length(plotVector)+1]]=p |
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233 |
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234 #save plotly files |
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235 pp <- ggplotly(p) |
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236 htmlwidgets::saveWidget(as_widget(pp), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$maPlot,"_",correspondanceNameTable[iCondition,1],".html"),collapse=""),selfcontained = F) |
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237 |
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238 if(iCondition==nbConditions || length(plotVector)==MAplotPerPage){ |
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239 #define a new plotting file |
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240 if(opt$format=="pdf"){ |
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241 pdf(paste(c("./plotDir/",opt$maPlot,iToPlot,".pdf"),collapse=""))}else{ |
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242 png(paste(c("./plotDir/",opt$maPlot,iToPlot,".png"),collapse="")) |
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243 } |
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244 multiplot(plotlist=plotVector,cols=2) |
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245 dev.off() |
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246 if(iCondition<nbConditions){ |
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247 #prepare for a new plotting file if necessary |
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248 plotVector=list() |
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249 iToPlot=iToPlot+1 |
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250 } |
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251 } |
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252 } |
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253 remove(p,dataToPlot,dataA,dataB,toTake,xToPlot,yToPlot) |
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254 addComment("[INFO]MAplots drawn",T,opt$log,display=FALSE) |
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255 } |
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256 |
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257 ##---------------------- |
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258 |
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259 ###plot boxplots### |
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260 boxplotPerFigure=50 |
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261 if (!is.null(opt$boxplot)) { |
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262 for(iToPlot in 1:(((nbConditions-1)%/%boxplotPerFigure)+1)){ |
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263 firstPlot=1+boxplotPerFigure*(iToPlot-1) |
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264 lastPlot=min(nbConditions,boxplotPerFigure*iToPlot) |
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265 dataToPlot=data.frame(intensities=c(dataMatrix[,firstPlot:lastPlot]),Experiment=rep(colnames(dataMatrix)[firstPlot:lastPlot],each=nrow(dataMatrix))) |
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266 #to make HTML file lighter, sampling will be done amongst outliers |
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267 #get outliers for each boxplot |
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268 boxplotsOutliers=apply(dataMatrix[,firstPlot:lastPlot],2,function(x)boxplot.stats(x)$out) |
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269 #sample amongst them to keep at maximum of 1000 points and include both min and max outliers values |
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270 boxplotsOutliers=lapply(boxplotsOutliers,function(x)if(length(x)>0)c(sample(c(x),min(length(x),1000)),max(c(x)),min(c(x)))) |
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271 dataOutliers=data.frame(yVal=unlist(boxplotsOutliers),xVal=unlist(lapply(seq_along(boxplotsOutliers),function(x)rep(names(boxplotsOutliers)[x],length(boxplotsOutliers[[x]]))))) |
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272 #plot boxplots without outliers |
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273 p <- ggplot(data=dataToPlot, aes(y = intensities, x=Experiment ,color=Experiment)) + geom_boxplot(outlier.colour=NA,outlier.shape =NA) + |
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274 ggtitle("Intensities") + theme_bw() + xlab(label="") + |
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275 theme(panel.border=element_blank(),plot.title = element_text(hjust = 0.5),axis.text.x = element_text(angle = 45, hjust = 1),plot.margin=unit(c(10,10,max(unlist(lapply(dataToPlot$Experiment,function(x)nchar(as.character(x))))),15+max(unlist(lapply(dataToPlot$Experiment,function(x)nchar(as.character(x)))))),"mm")) |
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276 #add to plot sampled outliers |
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277 p <- p + geom_point(data=dataOutliers,aes(x=xVal,y=yVal,color=xVal),inherit.aes = F) |
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278 if(dataAreFromCel){ |
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279 #original plotting function |
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280 #boxplot(celData[,firstPlot:lastPlot],which='pm',col=rainbow(nbConditions)[firstPlot:lastPlot],target="probeset",transfo=log2,names=nameConditions[firstPlot:lastPlot],main="Intensities") |
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281 p <- p + ylab(label="Log2 intensities") |
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282 }else{ |
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283 p <- p + ylab(label="Intensities") |
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284 } |
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285 if(opt$format=="pdf"){ |
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286 pdf(paste(c("./plotDir/",opt$boxplot,iToPlot,".pdf"),collapse=""))}else{ |
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287 png(paste(c("./plotDir/",opt$boxplot,iToPlot,".png"),collapse="")) |
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288 } |
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289 print(p) |
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290 dev.off() |
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291 #save plotly files |
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292 pp <- ggplotly(p) |
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293 |
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294 #modify plotly object to get HTML file not too heavy for loading |
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295 for(iData in 1:length(pp$x$data)){ |
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296 ##get kept outliers y values |
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297 #yPointsToKeep=dataOutliers$yVal[which(dataOutliers$xVal==pp$x$data[[iData]]$name)] |
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298 if(pp$x$data[[iData]]$type=="scatter"){ |
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299 ##scatter plot represent outliers points added to boxplot through geom_point |
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300 ##nothing to do as outliers have been sampled allready, just have to modify hover text |
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301 #if(length(yPointsToKeep)>0){ |
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302 #pointsToKeep=which(pp$x$data[[iData]]$y %in% yPointsToKeep) |
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303 #pp$x$data[[iData]]$x=pp$x$data[[iData]]$x[pointsToKeep] |
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304 #pp$x$data[[iData]]$y=pp$x$data[[iData]]$y[pointsToKeep] |
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305 #pp$x$data[[iData]]$text=pp$x$data[[iData]]$text[pointsToKeep] |
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306 #}else{ |
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307 #pp$x$data[[iData]]$x=NULL |
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308 #pp$x$data[[iData]]$y=NULL |
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309 #pp$x$data[[iData]]$marker$opacity=0 |
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310 #pp$x$data[[iData]]$hoverinfo=NULL |
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311 #pp$x$data[[iData]]$text=NULL |
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312 #} |
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313 #modify text to display |
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314 if(dataAreFromCel){ |
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315 pp$x$data[[iData]]$text=unlist(lapply(seq_along(pp$x$data[[iData]]$y),function(x)return(paste(c("log2(intensity) ",prettyNum(pp$x$data[[iData]]$y[x],digits=4)),collapse = "")))) |
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316 }else{ |
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317 pp$x$data[[iData]]$text=unlist(lapply(seq_along(pp$x$data[[iData]]$y),function(x)return(paste(c("intensity ",prettyNum(pp$x$data[[iData]]$y[x],digits=4)),collapse = "")))) |
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318 } |
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319 }else{ |
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320 ##disable marker plotting to keep only box and whiskers plot (outliers are displayed through scatter plot) |
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321 pp$x$data[[iData]]$marker$opacity=0 |
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322 |
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323 #sample 50000 points amongst all data to get a lighter html file, sampling size should not be too low to avoid modifying limit of boxplots |
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324 pp$x$data[[iData]]$y=c(sample(dataMatrix[,pp$x$data[[iData]]$name],min(length(dataMatrix[,pp$x$data[[iData]]$name]),50000)),min(dataMatrix[,pp$x$data[[iData]]$name]),max(dataMatrix[,pp$x$data[[iData]]$name])) |
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325 pp$x$data[[iData]]$x=rep(pp$x$data[[iData]]$x[1],length(pp$x$data[[iData]]$y)) |
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326 |
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327 ##first remove outliers info |
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328 #downUpValues=boxplot.stats(dataMatrix[,pp$x$data[[iData]]$name])$stats |
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329 #if(verbose)addComment(c("filter values for boxplot",pp$x$data[[iData]]$name,"between",min(downUpValues),"and",max(downUpValues)),T,opt$log) |
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330 #pointsToRemove=which(pp$x$data[[iData]]$y<min(downUpValues)) |
14045c80a222
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331 #if(length(pointsToRemove)>0)pp$x$data[[iData]]$y=pp$x$data[[iData]]$y[-pointsToRemove] |
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332 #pointsToRemove=which(pp$x$data[[iData]]$y>max(downUpValues)) |
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333 #if(length(pointsToRemove)>0)pp$x$data[[iData]]$y=pp$x$data[[iData]]$y[-pointsToRemove] |
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334 #then add sampled outliers info |
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335 #pp$x$data[[iData]]$y=c(yPointsToKeep,pp$x$data[[iData]]$y) |
14045c80a222
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336 #pp$x$data[[iData]]$x=rep(pp$x$data[[iData]]$x[1],length(pp$x$data[[iData]]$y)) |
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337 } |
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338 } |
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339 |
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340 htmlwidgets::saveWidget(as_widget(pp), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$boxplot,iToPlot,".html"),collapse=""),selfcontained = F) |
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341 } |
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342 remove(p,dataToPlot) |
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343 addComment("[INFO]Boxplots drawn",T,opt$log,display=FALSE) |
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344 |
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345 } |
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346 |
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347 ##---------------------- |
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348 |
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349 ###plot microarrays (only for .CEL files)### |
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350 if (!is.null(opt$microarray) && dataAreFromCel) { |
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351 for (iCondition in 1:nbConditions){ |
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352 if(opt$format=="pdf"){ |
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353 pdf(paste(c("./plotDir/",opt$microarray,"_",correspondanceNameTable[iCondition,1],".pdf"),collapse=""),onefile = F,width = 5,height = 5)}else{ |
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354 png(paste(c("./plotDir/",opt$microarray,"_",correspondanceNameTable[iCondition,1],".png"),collapse="")) |
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355 } |
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356 image(celData[,iCondition],main=correspondanceNameTable[iCondition,2]) |
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357 dev.off() |
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358 } |
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359 addComment("[INFO]Microarray drawn",T,opt$log,display=FALSE) |
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360 } |
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361 |
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362 ##---------------------- |
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363 |
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364 ###plot PCA plot### |
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365 if (!is.null(opt$acp)){ |
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366 ##to avoid error when nrow is too large, results quite stable with 200k random selected rows |
14045c80a222
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367 randomSelection=sample(nrow(dataMatrix),min(200000,nrow(dataMatrix))) |
14045c80a222
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368 #remove constant variables |
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369 |
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370 dataFiltered=dataMatrix[randomSelection,] |
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371 toRemove=which(unlist(apply(dataFiltered,1,var))==0) |
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372 if(length(toRemove)>0){ |
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373 dataFiltered=dataFiltered[-toRemove,] |
14045c80a222
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374 } |
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375 ##geom_text(aes(label=Experiments,hjust=1, vjust=1.3), y = PC2+0.01) |
14045c80a222
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376 PACres = prcomp(t(dataFiltered),scale.=TRUE) |
14045c80a222
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377 |
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378 if(!is.null(opt$screePlot)){ |
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379 #scree plot |
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380 #p <- fviz_eig(PACres) |
14045c80a222
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381 dataToPlot=data.frame(compo=seq(1,length(PACres$sdev)),var=(PACres$sdev^2/sum(PACres$sdev^2))*100) |
14045c80a222
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382 p<-ggplot(data=dataToPlot, aes(x=compo, y=var)) + geom_bar(stat="identity", fill="steelblue") + geom_line() + geom_point() + |
14045c80a222
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383 ggtitle("Scree plot") + theme_bw() + theme(panel.border=element_blank(),plot.title = element_text(hjust = 0.5)) + |
14045c80a222
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384 xlab(label="Dimensions") + ylab(label="% explained variances") + scale_x_discrete(limits=dataToPlot$compo) |
14045c80a222
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385 pp <- ggplotly(p) |
14045c80a222
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386 |
14045c80a222
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387 if(opt$format=="pdf"){ |
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388 pdf(paste(c("./plotDir/",opt$screePlot,".pdf"),collapse=""))}else{ |
14045c80a222
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389 png(paste(c("./plotDir/",opt$screePlot,".png"),collapse="")) |
14045c80a222
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390 } |
14045c80a222
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391 plot(p) |
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392 dev.off() |
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393 htmlwidgets::saveWidget(as_widget(pp), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$screePlot,".html"),collapse=""),selfcontained = F) |
14045c80a222
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394 } |
14045c80a222
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395 |
14045c80a222
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396 #now plot pca plots |
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397 |
14045c80a222
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398 if(!is.null(opt$factorInfo)){ |
14045c80a222
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399 fileIdent="" |
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400 symbolset = c("circle","cross","square","diamond","circle-open","square-open","diamond-open","x") |
14045c80a222
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401 |
14045c80a222
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402 #save equivalence between real factor names and generic ones in correspondanceNameTable |
14045c80a222
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403 correspondanceNameTable=rbind(correspondanceNameTable,matrix(c(paste("Factor",1:(ncol(factorInfoMatrix)-1),sep=""),colnames(factorInfoMatrix)[-1]),ncol=2,nrow=ncol(factorInfoMatrix)-1)) |
14045c80a222
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404 rownames(correspondanceNameTable)=correspondanceNameTable[,2] |
14045c80a222
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405 |
14045c80a222
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406 #first order factors from decreasing groups number |
14045c80a222
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407 orderedFactors=colnames(factorInfoMatrix)[-1][order(unlist(lapply(colnames(factorInfoMatrix)[-1],function(x)length(table(factorInfoMatrix[,x])))),decreasing = T)] |
14045c80a222
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408 allFactorsBigger=length(table(factorInfoMatrix[,orderedFactors[length(orderedFactors)]]))>length(symbolset) |
14045c80a222
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409 if(allFactorsBigger)addComment("[WARNING]All factors are composed of too many groups to display two factors at same time, each PCA plot will display only one factor groups",T,opt$log,display=FALSE) |
14045c80a222
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410 for(iFactor in 1:length(orderedFactors)){ |
14045c80a222
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411 #if it is the last factor of the list or if all factor |
14045c80a222
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412 if(iFactor==length(orderedFactors) || allFactorsBigger){ |
14045c80a222
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413 if(length(orderedFactors)==1 || allFactorsBigger){ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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414 dataToPlot=data.frame(PC1=PACres$x[,1],PC2=PACres$x[,2],PC3=PACres$x[,3],Experiments=rownames(PACres$x), Attribute1=factorInfoMatrix[rownames(PACres$x),orderedFactors[iFactor]], hoverLabel=unlist(lapply(rownames(PACres$x),function(x)paste(factorInfoMatrix[x,-1],collapse=",")))) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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415 p <- plot_ly(dataToPlot,x = ~PC1, y = ~PC2, z = ~PC3, type = 'scatter3d', mode="markers", color=~Attribute1,colors=rainbow(length(levels(dataToPlot$Attribute1))+2),hoverinfo = 'text', text = ~paste(Experiments,"\n",hoverLabel),marker=list(size=5))%>% |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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416 layout(title = "Principal Component Analysis", scene = list(xaxis = list(title = "Component 1"),yaxis = list(title = "Component 2"),zaxis = list(title = "Component 3")), |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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417 legend=list(font = list(family = "sans-serif",size = 15,color = "#000"))) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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418 fileIdent=correspondanceNameTable[orderedFactors[iFactor],1] |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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419 #add text label to plot |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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420 ##p <- add_text(p,x = dataToPlot$PC1, y = dataToPlot$PC2 + (max(PACres$x[,2])-min(PACres$x[,2]))*0.02, z = dataToPlot$PC3, mode = 'text', inherit = F, text=rownames(PACres$x), hoverinfo='skip', showlegend = FALSE, color=I('black')) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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421 #save the plotly plot |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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422 htmlwidgets::saveWidget(as_widget(p), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$acp,"_",fileIdent,".html"),collapse=""),selfcontained = F) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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423 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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424 }else{ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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425 for(iFactorBis in (iFactor+1):length(orderedFactors)){ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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426 if(length(table(factorInfoMatrix[,orderedFactors[iFactorBis]]))<=length(symbolset)){ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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427 dataToPlot=data.frame(PC1=PACres$x[,1],PC2=PACres$x[,2],PC3=PACres$x[,3],Experiments=rownames(PACres$x), Attribute1=factorInfoMatrix[rownames(PACres$x),orderedFactors[iFactor]], Attribute2=factorInfoMatrix[rownames(PACres$x),orderedFactors[iFactorBis]], hoverLabel=unlist(lapply(rownames(PACres$x),function(x)paste(factorInfoMatrix[x,-1],collapse=",")))) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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428 p <- plot_ly(dataToPlot,x = ~PC1, y = ~PC2, z = ~PC3, type = 'scatter3d', mode="markers", color=~Attribute1,colors=rainbow(length(levels(dataToPlot$Attribute1))+2),symbol=~Attribute2,symbols = symbolset,hoverinfo = 'text', text = ~paste(Experiments,"\n",hoverLabel),marker=list(size=5))%>% |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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429 layout(title = "Principal Component Analysis", scene = list(xaxis = list(title = "Component 1"),yaxis = list(title = "Component 2"),zaxis = list(title = "Component 3")), |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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430 legend=list(font = list(family = "sans-serif",size = 15,color = "#000"))) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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431 fileIdent=paste(correspondanceNameTable[orderedFactors[c(iFactor,iFactorBis)],1],collapse="_AND_") |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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432 #add text label to plot |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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433 ##p <- add_text(p,x = dataToPlot$PC1, y = dataToPlot$PC2 + (max(PACres$x[,2])-min(PACres$x[,2]))*0.02, z = dataToPlot$PC3, mode = 'text', inherit = F, text=rownames(PACres$x), hoverinfo='skip', showlegend = FALSE, color=I('black')) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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434 #save the plotly plot |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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435 htmlwidgets::saveWidget(as_widget(p), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$acp,"_",fileIdent,".html"),collapse=""),selfcontained = F) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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436 }else{ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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437 addComment(c("[WARNING]PCA with",orderedFactors[iFactor],"and",orderedFactors[iFactorBis],"groups cannot be displayed, too many groups (max",length(symbolset),")"),T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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438 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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439 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
diff
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440 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
diff
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441 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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442 }else{ |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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443 dataToPlot=data.frame(PC1=PACres$x[,1],PC2=PACres$x[,2],PC3=PACres$x[,3],Experiments=rownames(PACres$x)) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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444 p <- plot_ly(dataToPlot,x = ~PC1, y = ~PC2, z = ~PC3, type = 'scatter3d', mode="markers",marker=list(size=5,color="salmon"),hoverinfo = 'text',text = ~paste(Experiments))%>% |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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445 layout(title = "Principal Component Analysis", scene = list(xaxis = list(title = "Component 1"),yaxis = list(title = "Component 2"),zaxis = list(title = "Component 3")), |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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446 legend=list(font = list(family = "sans-serif",size = 15,color = "#000"))) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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447 ##p <- add_text(p,x = dataToPlot$PC1, y = dataToPlot$PC2 + (max(PACres$x[,2])-min(PACres$x[,2]))*0.02, z = dataToPlot$PC3, mode = 'text', inherit = F, text=rownames(PACres$x), hoverinfo='skip', showlegend = FALSE, color=I('black')) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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448 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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449 #save plotly files |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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450 htmlwidgets::saveWidget(as_widget(p), paste(c(file.path(getwd(), "plotLyDir"),"/",opt$acp,"_plot.html"),collapse=""),selfcontained = F) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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451 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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452 remove(p,dataToPlot,dataFiltered) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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453 addComment("[INFO]ACP plot drawn",T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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454 } |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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455 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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diff
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456 #write correspondances between plot file names and displayed names in figure legends, usefull to define html items in xml file |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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457 write.table(correspondanceNameTable,file=file.path(getwd(), "correspondanceFileNames.csv"),quote=FALSE,sep="\t",col.names = F,row.names = F) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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458 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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459 end.time <- Sys.time() |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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460 addComment(c("[INFO]Total execution time for R script:",as.numeric(end.time - start.time,units="mins"),"mins"),T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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461 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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462 addComment("[INFO]End of R script",T,opt$log,display=FALSE) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
parents:
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463 |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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464 printSessionInfo(opt$log) |
14045c80a222
"planemo upload for repository https://github.com/juliechevalier/GIANT/tree/master commit cb276a594444c8f32e9819fefde3a21f121d35df"
vandelj
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465 #sessionInfo() |