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140 trendLeveldrop.unused.typesHide unused/empty type conditioning cases. Some conditioning options maygenerate empty cases for some data sets, e.g. a hour of the day when no measurementswere taken. Empty x and y cases generate ’holes’ in individual plots.However, empty type cases would produce blank panels if plotted. Therefore,the default, TRUE, excludes these empty panels from the plot. The alternativeFALSE plots all type panels.... Addition options are passed on to cutData for type handling and levelplot inlattice for finer control of the plot itself.DetailstrendLevel allows the use of third party summarising functions via the statistic option. Anyadditional function arguments not included within a function called using statistic should besupplied as a list of named parameters and sent using stat.args. For example, the encoded optionstatistic = "mean" is equivalent to statistic = mean, stat.args = list(na.rm = TRUE)or the R command mean(x, na.rm= TRUE). Many R functions and user‘s own code could be appliedin a similar fashion, subject to the following restrictions: the first argument sent to the functionmust be the data series to be analysed; the name ‘x’ cannot be used for any of the extra options suppliedin stat.args; and the function should return the required answer as a numeric or NA. Note:If the supplied function returns more than one answer, currently only the first of these is retainedand used by trendLevel. All other returned information will be ignored without warning. If thefunction terminates with an error when it is sent an empty data series, the option stat.safe.modeshould not be set to FALSE or trendLevel may fail. Note: The stat.safe.mode = TRUE optionreturns an NA without warning for empty data series.ValueAs well as generating the plot itself, trendLevel 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
windRose 141Examples#basic use#default statistic = "mean"trendLevel(mydata, pollutant = "nox")#applying same as ’own’ statisticmy.mean
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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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30 importtimetime.formattz.intz.out
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32 importADMSdrop.input.datesOption
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34 importAURNimportAURNAURN data im
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36 importAURN• BIR2 Birmingham Ea
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38 importAURN• ISL London Islingt
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40 importAURNValue• WBRO Sandwell
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42 importAURNCsvis.siteHeader name
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44 importKCL## diurnal.error(so2.15
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46 importKCLAll PM10 statistics on
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48 importKCL• BY1 | Bromley - Ren
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50 importKCL• GL1 | Glasgow Centr
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52 importKCL• LB4 | Lambeth - Bri
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54 importKCL• RG4 | Reigate and B
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56 importKCL• TE0 | Tendring St O
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58 importKCLValue• ZT4 | Tunbridg
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60 importSAQNExamples## import AQ d
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62 importSAQN• | ABD8 | Aberdeen
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64 importSAQN• | PAI3 | Paisley G
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66 importTrajlocalfor example.Used
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68 kernelExceedpollutant Mandatory.
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70 linearRelationlinearRelationLine
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72 modStatsSee AlsocalcFno2Examples
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74 mydataReferencesWillmott, C.J.,
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76 openair.class## S3 method for cl
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78 openColoursnNote that because of
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80 percentileRoseintervals User-sup
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82 polarAnnulusnormalise = FALSE, k
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84 polarAnnuluskey.footerkey.positi
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86 polarClustercolsDetailsangle.sca
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88 polarFreq## how many points are
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Page 110 and 111: 110 splitByDate# several pollutants
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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
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Page 132 and 133: 132 timeVariationAuthor(s)David Car
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Page 142 and 143: 142 windRosews.intThe Wind speed in
Page 144 and 145: 144 windRoseValueNoteset of wind sp
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