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80 percentileRoseintervals User-supplied intervals for the scale e.g. intervals = c(0, 10, 30, 50)angle.scaleauto.textkey.headerkey.footerkey.positionkeyThe pollutant scale is by default shown at a 45 degree angle. Sometimes theplacement of the scale may interfere with an interesting feature. The user cantherefore set angle.scale to another value (between 0 and 360 degrees) tomitigate such problems. For example angle.scale = 315 will draw the scaleheading in a NW direction.Either TRUE (default) or FALSE. If TRUE titles and axis labels will automaticallytry and format pollutant names and units properly e.g. by subscripting the ‘2’ inNO2.Adds additional text/labels to the scale key. For example, passing options key.header= "header", key.footer = "footer" adds addition text above and belowthe scale key. These arguments are passed to drawOpenKey via quickText,applying the auto.text argument, to handle formatting.key.header.Location where the scale key is to plotted. Allowed arguments currently include"top", "right", "bottom" and "left".Fine control of the scale key via drawOpenKey. See drawOpenKey for furtherdetails.... Other graphical parameters are passed onto cutData and lattice:xyplot. Forexample, percentileRose passes the option hemisphere = "southern" onto cutData to provide southern (rather than default northern) hemisphere handlingof type = "season". Similarly, common graphical arguments, such asxlim and ylim for plotting ranges and lwd for line thickness when using fill = FALSE,are passed on xyplot, although some local modifications may be applied byopenair. For example, axis and title labelling options (such as xlab, ylab andmain) are passed to xyplot via quickText to handle routine formatting.DetailspercentileRose calculates percentile levels of a pollutant and plots them by wind direction. Oneor more percentile levels can be calculated and these are displayed as either filled areas or as lines.The levels by wind direction are calculated using a cyclic smooth cubic spline. The wind directionsare rounded to the nearest 10 degrees, consistent with surface data from the UK Met Office beforea smooth is fitted.The percentileRose function compliments other similar functions including windRose, pollutionRose,polarFreq or polarPlot. It is most useful for showing the distribution of concentrations by winddirection and often can reveal different sources e.g. those that only affect high percentile concentrationssuch as a chimney stack.Similar to other functions, flexible conditioning is available through the type option. It is easyfor example to consider multiple percentile values for a pollutant by season, year and so on. Seeexamples below.percentileRose also offers great flexibility with the scale used and the user has fine control overboth the range, interval and colour.
polarAnnulus 81ValueAs well as generating the plot itself, percentileRose also returns an object of class “openair”. Theobject includes three main components: call, the command used to generate the plot; data, thedata frame of summarised information used to make the plot; and plot, the plot itself. If retained,e.g. using output
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Package ‘openair’September 19,
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4 aqStatsused. All functions check
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6 calcFno2Examples## Statistics for
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8 calcPercentilecalcPercentileCalcu
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10 calendarPlotannotatestatisticcol
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14 conditionalEvalon to cutData to
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16 conditionalQuantileArgumentsmyda
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18 corPlot## make some dummy predic
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20 cutDataSee Alsotaylor.diagram fr
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22 drawOpenKeyof this option is to
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24 drawOpenKeyvpView port to be use
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26 GoogleMapsPlotcex.range = c(2, 1
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28 GoogleMapsPlotDetailsValueNoteke
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Page 34 and 35: 34 importAURNimportAURNAURN data im
Page 36 and 37: 36 importAURN• BIR2 Birmingham Ea
Page 38 and 39: 38 importAURN• ISL London Islingt
Page 40 and 41: 40 importAURNValue• WBRO Sandwell
Page 42 and 43: 42 importAURNCsvis.siteHeader name
Page 44 and 45: 44 importKCL## diurnal.error(so2.15
Page 46 and 47: 46 importKCLAll PM10 statistics on
Page 48 and 49: 48 importKCL• BY1 | Bromley - Ren
Page 50 and 51: 50 importKCL• GL1 | Glasgow Centr
Page 52 and 53: 52 importKCL• LB4 | Lambeth - Bri
Page 54 and 55: 54 importKCL• RG4 | Reigate and B
Page 56 and 57: 56 importKCL• TE0 | Tendring St O
Page 58 and 59: 58 importKCLValue• ZT4 | Tunbridg
Page 60 and 61: 60 importSAQNExamples## import AQ d
Page 62 and 63: 62 importSAQN• | ABD8 | Aberdeen
Page 64 and 65: 64 importSAQN• | PAI3 | Paisley G
Page 66 and 67: 66 importTrajlocalfor example.Used
Page 68 and 69: 68 kernelExceedpollutant Mandatory.
Page 70 and 71: 70 linearRelationlinearRelationLine
Page 72 and 73: 72 modStatsSee AlsocalcFno2Examples
Page 74 and 75: 74 mydataReferencesWillmott, C.J.,
Page 76 and 77: 76 openair.class## S3 method for cl
Page 78 and 79: 78 openColoursnNote that because of
Page 82 and 83: 82 polarAnnulusnormalise = FALSE, k
Page 84 and 85: 84 polarAnnuluskey.footerkey.positi
Page 86 and 87: 86 polarClustercolsDetailsangle.sca
Page 88 and 89: 88 polarFreq## how many points are
Page 90 and 91: 90 polarFreqborder.colThe colour of
Page 92 and 93: 92 polarPlotDescriptionFunction for
Page 94 and 95: 94 polarPlotupperangle.scaleunitsso
Page 96 and 97: 96 polarPlotValueAs well as generat
Page 98 and 99: 98 rollingMeanExamples#example 1##s
Page 100 and 101: 100 scatterPlotavg.timedata.threshs
Page 102 and 103: 102 scatterPlot... Other graphical
Page 104 and 105: 104 selectByDate## multiple types a
Page 106 and 107: 106 selectRunningselectRunningFunct
Page 108 and 109: 108 smoothTrendavg.timepercentileda
Page 110 and 111: 110 splitByDate# several pollutants
Page 112 and 113: 112 summaryPlotpollutantperiodbreak
Page 114 and 115: 114 TaylorDiagramUsageTaylorDiagram
Page 116 and 117: 116 TaylorDiagramdaylight/nighttime
Page 118 and 119: 118 TheilSen## Not run:## all model
Page 120 and 121: 120 TheilSenDetailsdate.breaks- 1)
Page 122 and 123: 122 timeAverageTheilSen(mydata, pol
Page 124 and 125: 124 timePlotAuthor(s)David CarslawS
Page 126 and 127: 126 timePlottypecolsplot.typekeylog
Page 128 and 129: 128 timePlotAuthor(s)David CarslawS
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130 timeVariationtypegroupdifferenc
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132 timeVariationAuthor(s)David Car
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134 trajClustertypecolssplit.aftert
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136 trajLevelsmoothstatisticpercent
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138 trendLevelkc1 -20 & lon 40 & l
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140 trendLeveldrop.unused.typesHide
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142 windRosews.intThe Wind speed in
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144 windRoseValueNoteset of wind sp
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Index∗Topic datasetsmydata, 74∗
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