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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 21 May 2012 11:30:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/21/t13376142990lwzcvhu7alrqlb.htm/, Retrieved Sun, 17 May 2026 19:10:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166974, Retrieved Sun, 17 May 2026 19:10:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact309

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-05-21 15:30:38] [08f815ef91e7dd0cd9caee9b166770ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.42
104.42
104.42
104.42
104.42
104.42
104.42
104.44
104.44
104.44
105.19
105.19
105.19
106.38
106.38
106.38
106.38
106.38
106.38
106.72
106.73
106.72
108.6
108.6
109.65
109.65
109.65
109.65
109.65
109.65
109.65
109.65
112.27
112.27
112.27
112.27
112.27
114.98
114.98
114.98
114.98
114.98
114.98
116.04
116.59
116.59
116.59
116.59
118.75
118.75
118.75
118.75
118.75
118.75
118.75
119.31
119.31
119.31
119.31
119.31

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166974&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166974&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166974&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.1104.474942044890.124429572168396
0.11104.5079297515640.179785048147525
0.12104.5536016051990.245717941624495
0.13104.6137726724410.319621801376089
0.14104.6895361037710.397362161780734
0.15104.7810583177090.474308621516188
0.16104.8874896821090.545477737960071
0.17105.0070067908540.606393828574238
0.18105.1369798585840.653533924507155
0.19105.2742409478950.684653216568919
0.2105.4154176237070.69914670519294
0.21105.5572915834470.698256879045676
0.22105.6971412353170.684760659134761
0.23105.8330298889250.663196239655792
0.24105.9640068864240.63918378459922
0.25106.0901978485210.619481361797802
0.26106.2127721729040.610591325571703
0.27106.3337900966880.61837880759925
0.28106.4559462478910.646259851007988
0.29106.58223948260.694660001268193
0.3106.7156079711010.760938191431425
0.31106.8585726928180.840324720938922
0.32107.0129313319660.926373220040351
0.33107.1795384052891.01256642416511
0.34107.3581972063741.09195799498054
0.35107.5476760453951.15841771721019
0.36107.7458467227581.20735699024585
0.37107.9499287607151.23576715589504
0.38108.1568102603961.24272281290977
0.39108.3634069241421.22953974149681
0.4108.5670160848351.1997584595213
0.41108.7656233026131.15872652133399
0.42108.9581252988011.11311512170496
0.43109.1444439680471.07043605903767
0.44109.3255204701131.03801213774455
0.45109.5031939385141.022171118443
0.46109.679983904991.0270614648437
0.47109.858806997981.05422070798065
0.48110.0426651690311.10203978143743
0.49110.2343437290071.16676021511163
0.5110.4361528700521.24294017662578
0.51110.6497371168721.32500602524677
0.52110.8759651305361.40727030966832
0.53111.1148998234761.48485344002471
0.54111.36583821221.55353521793712
0.55111.6274037107811.61028516995319
0.56111.8976715658531.65297298267174
0.57112.1743105494051.67995661176312
0.58112.454729405611.69052806663703
0.59112.7362226962541.68462576456684
0.6113.0161153299181.66239934175059
0.61113.2919065662121.62498508396538
0.62113.5614122385521.57406376370516
0.63113.8228993007681.51233160301248
0.64114.0752016167261.4432601524806
0.65114.31780257961.37116041480869
0.66114.5508705212941.30060234241588
0.67114.7752374876921.23617617983829
0.68114.99231971181.18182393386048
0.69115.2039865935181.14020253937487
0.7115.4123913491121.11272791982602
0.71115.6197786535931.09902720369812
0.72115.8282822889911.09775282793942
0.73116.0397209301971.1064234530786
0.74116.2553962631971.12171563085824
0.75116.4758983218161.13978828491404
0.76116.70093022651.15590866663974
0.77116.9291771482461.16464393210894
0.78117.1582574020561.1602162614272
0.79117.3847997812741.1373435727825
0.8117.604683518441.0920397446244
0.81117.813452035011.02277341526469
0.82118.006871302610.931095966218277
0.83118.1815569453730.821882674395564
0.84118.3355542866720.702941059852089
0.85118.4687360774660.583952180692075
0.86118.5828939392990.475170149204207
0.87118.6814458912850.385808882483147
0.88118.7687609906130.322511758663628
0.89118.8492028505270.286555335237609
0.9118.9260971327420.271143951551265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 104.47494204489 & 0.124429572168396 \tabularnewline
0.11 & 104.507929751564 & 0.179785048147525 \tabularnewline
0.12 & 104.553601605199 & 0.245717941624495 \tabularnewline
0.13 & 104.613772672441 & 0.319621801376089 \tabularnewline
0.14 & 104.689536103771 & 0.397362161780734 \tabularnewline
0.15 & 104.781058317709 & 0.474308621516188 \tabularnewline
0.16 & 104.887489682109 & 0.545477737960071 \tabularnewline
0.17 & 105.007006790854 & 0.606393828574238 \tabularnewline
0.18 & 105.136979858584 & 0.653533924507155 \tabularnewline
0.19 & 105.274240947895 & 0.684653216568919 \tabularnewline
0.2 & 105.415417623707 & 0.69914670519294 \tabularnewline
0.21 & 105.557291583447 & 0.698256879045676 \tabularnewline
0.22 & 105.697141235317 & 0.684760659134761 \tabularnewline
0.23 & 105.833029888925 & 0.663196239655792 \tabularnewline
0.24 & 105.964006886424 & 0.63918378459922 \tabularnewline
0.25 & 106.090197848521 & 0.619481361797802 \tabularnewline
0.26 & 106.212772172904 & 0.610591325571703 \tabularnewline
0.27 & 106.333790096688 & 0.61837880759925 \tabularnewline
0.28 & 106.455946247891 & 0.646259851007988 \tabularnewline
0.29 & 106.5822394826 & 0.694660001268193 \tabularnewline
0.3 & 106.715607971101 & 0.760938191431425 \tabularnewline
0.31 & 106.858572692818 & 0.840324720938922 \tabularnewline
0.32 & 107.012931331966 & 0.926373220040351 \tabularnewline
0.33 & 107.179538405289 & 1.01256642416511 \tabularnewline
0.34 & 107.358197206374 & 1.09195799498054 \tabularnewline
0.35 & 107.547676045395 & 1.15841771721019 \tabularnewline
0.36 & 107.745846722758 & 1.20735699024585 \tabularnewline
0.37 & 107.949928760715 & 1.23576715589504 \tabularnewline
0.38 & 108.156810260396 & 1.24272281290977 \tabularnewline
0.39 & 108.363406924142 & 1.22953974149681 \tabularnewline
0.4 & 108.567016084835 & 1.1997584595213 \tabularnewline
0.41 & 108.765623302613 & 1.15872652133399 \tabularnewline
0.42 & 108.958125298801 & 1.11311512170496 \tabularnewline
0.43 & 109.144443968047 & 1.07043605903767 \tabularnewline
0.44 & 109.325520470113 & 1.03801213774455 \tabularnewline
0.45 & 109.503193938514 & 1.022171118443 \tabularnewline
0.46 & 109.67998390499 & 1.0270614648437 \tabularnewline
0.47 & 109.85880699798 & 1.05422070798065 \tabularnewline
0.48 & 110.042665169031 & 1.10203978143743 \tabularnewline
0.49 & 110.234343729007 & 1.16676021511163 \tabularnewline
0.5 & 110.436152870052 & 1.24294017662578 \tabularnewline
0.51 & 110.649737116872 & 1.32500602524677 \tabularnewline
0.52 & 110.875965130536 & 1.40727030966832 \tabularnewline
0.53 & 111.114899823476 & 1.48485344002471 \tabularnewline
0.54 & 111.3658382122 & 1.55353521793712 \tabularnewline
0.55 & 111.627403710781 & 1.61028516995319 \tabularnewline
0.56 & 111.897671565853 & 1.65297298267174 \tabularnewline
0.57 & 112.174310549405 & 1.67995661176312 \tabularnewline
0.58 & 112.45472940561 & 1.69052806663703 \tabularnewline
0.59 & 112.736222696254 & 1.68462576456684 \tabularnewline
0.6 & 113.016115329918 & 1.66239934175059 \tabularnewline
0.61 & 113.291906566212 & 1.62498508396538 \tabularnewline
0.62 & 113.561412238552 & 1.57406376370516 \tabularnewline
0.63 & 113.822899300768 & 1.51233160301248 \tabularnewline
0.64 & 114.075201616726 & 1.4432601524806 \tabularnewline
0.65 & 114.3178025796 & 1.37116041480869 \tabularnewline
0.66 & 114.550870521294 & 1.30060234241588 \tabularnewline
0.67 & 114.775237487692 & 1.23617617983829 \tabularnewline
0.68 & 114.9923197118 & 1.18182393386048 \tabularnewline
0.69 & 115.203986593518 & 1.14020253937487 \tabularnewline
0.7 & 115.412391349112 & 1.11272791982602 \tabularnewline
0.71 & 115.619778653593 & 1.09902720369812 \tabularnewline
0.72 & 115.828282288991 & 1.09775282793942 \tabularnewline
0.73 & 116.039720930197 & 1.1064234530786 \tabularnewline
0.74 & 116.255396263197 & 1.12171563085824 \tabularnewline
0.75 & 116.475898321816 & 1.13978828491404 \tabularnewline
0.76 & 116.7009302265 & 1.15590866663974 \tabularnewline
0.77 & 116.929177148246 & 1.16464393210894 \tabularnewline
0.78 & 117.158257402056 & 1.1602162614272 \tabularnewline
0.79 & 117.384799781274 & 1.1373435727825 \tabularnewline
0.8 & 117.60468351844 & 1.0920397446244 \tabularnewline
0.81 & 117.81345203501 & 1.02277341526469 \tabularnewline
0.82 & 118.00687130261 & 0.931095966218277 \tabularnewline
0.83 & 118.181556945373 & 0.821882674395564 \tabularnewline
0.84 & 118.335554286672 & 0.702941059852089 \tabularnewline
0.85 & 118.468736077466 & 0.583952180692075 \tabularnewline
0.86 & 118.582893939299 & 0.475170149204207 \tabularnewline
0.87 & 118.681445891285 & 0.385808882483147 \tabularnewline
0.88 & 118.768760990613 & 0.322511758663628 \tabularnewline
0.89 & 118.849202850527 & 0.286555335237609 \tabularnewline
0.9 & 118.926097132742 & 0.271143951551265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166974&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]104.47494204489[/C][C]0.124429572168396[/C][/ROW]
[ROW][C]0.11[/C][C]104.507929751564[/C][C]0.179785048147525[/C][/ROW]
[ROW][C]0.12[/C][C]104.553601605199[/C][C]0.245717941624495[/C][/ROW]
[ROW][C]0.13[/C][C]104.613772672441[/C][C]0.319621801376089[/C][/ROW]
[ROW][C]0.14[/C][C]104.689536103771[/C][C]0.397362161780734[/C][/ROW]
[ROW][C]0.15[/C][C]104.781058317709[/C][C]0.474308621516188[/C][/ROW]
[ROW][C]0.16[/C][C]104.887489682109[/C][C]0.545477737960071[/C][/ROW]
[ROW][C]0.17[/C][C]105.007006790854[/C][C]0.606393828574238[/C][/ROW]
[ROW][C]0.18[/C][C]105.136979858584[/C][C]0.653533924507155[/C][/ROW]
[ROW][C]0.19[/C][C]105.274240947895[/C][C]0.684653216568919[/C][/ROW]
[ROW][C]0.2[/C][C]105.415417623707[/C][C]0.69914670519294[/C][/ROW]
[ROW][C]0.21[/C][C]105.557291583447[/C][C]0.698256879045676[/C][/ROW]
[ROW][C]0.22[/C][C]105.697141235317[/C][C]0.684760659134761[/C][/ROW]
[ROW][C]0.23[/C][C]105.833029888925[/C][C]0.663196239655792[/C][/ROW]
[ROW][C]0.24[/C][C]105.964006886424[/C][C]0.63918378459922[/C][/ROW]
[ROW][C]0.25[/C][C]106.090197848521[/C][C]0.619481361797802[/C][/ROW]
[ROW][C]0.26[/C][C]106.212772172904[/C][C]0.610591325571703[/C][/ROW]
[ROW][C]0.27[/C][C]106.333790096688[/C][C]0.61837880759925[/C][/ROW]
[ROW][C]0.28[/C][C]106.455946247891[/C][C]0.646259851007988[/C][/ROW]
[ROW][C]0.29[/C][C]106.5822394826[/C][C]0.694660001268193[/C][/ROW]
[ROW][C]0.3[/C][C]106.715607971101[/C][C]0.760938191431425[/C][/ROW]
[ROW][C]0.31[/C][C]106.858572692818[/C][C]0.840324720938922[/C][/ROW]
[ROW][C]0.32[/C][C]107.012931331966[/C][C]0.926373220040351[/C][/ROW]
[ROW][C]0.33[/C][C]107.179538405289[/C][C]1.01256642416511[/C][/ROW]
[ROW][C]0.34[/C][C]107.358197206374[/C][C]1.09195799498054[/C][/ROW]
[ROW][C]0.35[/C][C]107.547676045395[/C][C]1.15841771721019[/C][/ROW]
[ROW][C]0.36[/C][C]107.745846722758[/C][C]1.20735699024585[/C][/ROW]
[ROW][C]0.37[/C][C]107.949928760715[/C][C]1.23576715589504[/C][/ROW]
[ROW][C]0.38[/C][C]108.156810260396[/C][C]1.24272281290977[/C][/ROW]
[ROW][C]0.39[/C][C]108.363406924142[/C][C]1.22953974149681[/C][/ROW]
[ROW][C]0.4[/C][C]108.567016084835[/C][C]1.1997584595213[/C][/ROW]
[ROW][C]0.41[/C][C]108.765623302613[/C][C]1.15872652133399[/C][/ROW]
[ROW][C]0.42[/C][C]108.958125298801[/C][C]1.11311512170496[/C][/ROW]
[ROW][C]0.43[/C][C]109.144443968047[/C][C]1.07043605903767[/C][/ROW]
[ROW][C]0.44[/C][C]109.325520470113[/C][C]1.03801213774455[/C][/ROW]
[ROW][C]0.45[/C][C]109.503193938514[/C][C]1.022171118443[/C][/ROW]
[ROW][C]0.46[/C][C]109.67998390499[/C][C]1.0270614648437[/C][/ROW]
[ROW][C]0.47[/C][C]109.85880699798[/C][C]1.05422070798065[/C][/ROW]
[ROW][C]0.48[/C][C]110.042665169031[/C][C]1.10203978143743[/C][/ROW]
[ROW][C]0.49[/C][C]110.234343729007[/C][C]1.16676021511163[/C][/ROW]
[ROW][C]0.5[/C][C]110.436152870052[/C][C]1.24294017662578[/C][/ROW]
[ROW][C]0.51[/C][C]110.649737116872[/C][C]1.32500602524677[/C][/ROW]
[ROW][C]0.52[/C][C]110.875965130536[/C][C]1.40727030966832[/C][/ROW]
[ROW][C]0.53[/C][C]111.114899823476[/C][C]1.48485344002471[/C][/ROW]
[ROW][C]0.54[/C][C]111.3658382122[/C][C]1.55353521793712[/C][/ROW]
[ROW][C]0.55[/C][C]111.627403710781[/C][C]1.61028516995319[/C][/ROW]
[ROW][C]0.56[/C][C]111.897671565853[/C][C]1.65297298267174[/C][/ROW]
[ROW][C]0.57[/C][C]112.174310549405[/C][C]1.67995661176312[/C][/ROW]
[ROW][C]0.58[/C][C]112.45472940561[/C][C]1.69052806663703[/C][/ROW]
[ROW][C]0.59[/C][C]112.736222696254[/C][C]1.68462576456684[/C][/ROW]
[ROW][C]0.6[/C][C]113.016115329918[/C][C]1.66239934175059[/C][/ROW]
[ROW][C]0.61[/C][C]113.291906566212[/C][C]1.62498508396538[/C][/ROW]
[ROW][C]0.62[/C][C]113.561412238552[/C][C]1.57406376370516[/C][/ROW]
[ROW][C]0.63[/C][C]113.822899300768[/C][C]1.51233160301248[/C][/ROW]
[ROW][C]0.64[/C][C]114.075201616726[/C][C]1.4432601524806[/C][/ROW]
[ROW][C]0.65[/C][C]114.3178025796[/C][C]1.37116041480869[/C][/ROW]
[ROW][C]0.66[/C][C]114.550870521294[/C][C]1.30060234241588[/C][/ROW]
[ROW][C]0.67[/C][C]114.775237487692[/C][C]1.23617617983829[/C][/ROW]
[ROW][C]0.68[/C][C]114.9923197118[/C][C]1.18182393386048[/C][/ROW]
[ROW][C]0.69[/C][C]115.203986593518[/C][C]1.14020253937487[/C][/ROW]
[ROW][C]0.7[/C][C]115.412391349112[/C][C]1.11272791982602[/C][/ROW]
[ROW][C]0.71[/C][C]115.619778653593[/C][C]1.09902720369812[/C][/ROW]
[ROW][C]0.72[/C][C]115.828282288991[/C][C]1.09775282793942[/C][/ROW]
[ROW][C]0.73[/C][C]116.039720930197[/C][C]1.1064234530786[/C][/ROW]
[ROW][C]0.74[/C][C]116.255396263197[/C][C]1.12171563085824[/C][/ROW]
[ROW][C]0.75[/C][C]116.475898321816[/C][C]1.13978828491404[/C][/ROW]
[ROW][C]0.76[/C][C]116.7009302265[/C][C]1.15590866663974[/C][/ROW]
[ROW][C]0.77[/C][C]116.929177148246[/C][C]1.16464393210894[/C][/ROW]
[ROW][C]0.78[/C][C]117.158257402056[/C][C]1.1602162614272[/C][/ROW]
[ROW][C]0.79[/C][C]117.384799781274[/C][C]1.1373435727825[/C][/ROW]
[ROW][C]0.8[/C][C]117.60468351844[/C][C]1.0920397446244[/C][/ROW]
[ROW][C]0.81[/C][C]117.81345203501[/C][C]1.02277341526469[/C][/ROW]
[ROW][C]0.82[/C][C]118.00687130261[/C][C]0.931095966218277[/C][/ROW]
[ROW][C]0.83[/C][C]118.181556945373[/C][C]0.821882674395564[/C][/ROW]
[ROW][C]0.84[/C][C]118.335554286672[/C][C]0.702941059852089[/C][/ROW]
[ROW][C]0.85[/C][C]118.468736077466[/C][C]0.583952180692075[/C][/ROW]
[ROW][C]0.86[/C][C]118.582893939299[/C][C]0.475170149204207[/C][/ROW]
[ROW][C]0.87[/C][C]118.681445891285[/C][C]0.385808882483147[/C][/ROW]
[ROW][C]0.88[/C][C]118.768760990613[/C][C]0.322511758663628[/C][/ROW]
[ROW][C]0.89[/C][C]118.849202850527[/C][C]0.286555335237609[/C][/ROW]
[ROW][C]0.9[/C][C]118.926097132742[/C][C]0.271143951551265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166974&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166974&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.1104.474942044890.124429572168396
0.11104.5079297515640.179785048147525
0.12104.5536016051990.245717941624495
0.13104.6137726724410.319621801376089
0.14104.6895361037710.397362161780734
0.15104.7810583177090.474308621516188
0.16104.8874896821090.545477737960071
0.17105.0070067908540.606393828574238
0.18105.1369798585840.653533924507155
0.19105.2742409478950.684653216568919
0.2105.4154176237070.69914670519294
0.21105.5572915834470.698256879045676
0.22105.6971412353170.684760659134761
0.23105.8330298889250.663196239655792
0.24105.9640068864240.63918378459922
0.25106.0901978485210.619481361797802
0.26106.2127721729040.610591325571703
0.27106.3337900966880.61837880759925
0.28106.4559462478910.646259851007988
0.29106.58223948260.694660001268193
0.3106.7156079711010.760938191431425
0.31106.8585726928180.840324720938922
0.32107.0129313319660.926373220040351
0.33107.1795384052891.01256642416511
0.34107.3581972063741.09195799498054
0.35107.5476760453951.15841771721019
0.36107.7458467227581.20735699024585
0.37107.9499287607151.23576715589504
0.38108.1568102603961.24272281290977
0.39108.3634069241421.22953974149681
0.4108.5670160848351.1997584595213
0.41108.7656233026131.15872652133399
0.42108.9581252988011.11311512170496
0.43109.1444439680471.07043605903767
0.44109.3255204701131.03801213774455
0.45109.5031939385141.022171118443
0.46109.679983904991.0270614648437
0.47109.858806997981.05422070798065
0.48110.0426651690311.10203978143743
0.49110.2343437290071.16676021511163
0.5110.4361528700521.24294017662578
0.51110.6497371168721.32500602524677
0.52110.8759651305361.40727030966832
0.53111.1148998234761.48485344002471
0.54111.36583821221.55353521793712
0.55111.6274037107811.61028516995319
0.56111.8976715658531.65297298267174
0.57112.1743105494051.67995661176312
0.58112.454729405611.69052806663703
0.59112.7362226962541.68462576456684
0.6113.0161153299181.66239934175059
0.61113.2919065662121.62498508396538
0.62113.5614122385521.57406376370516
0.63113.8228993007681.51233160301248
0.64114.0752016167261.4432601524806
0.65114.31780257961.37116041480869
0.66114.5508705212941.30060234241588
0.67114.7752374876921.23617617983829
0.68114.99231971181.18182393386048
0.69115.2039865935181.14020253937487
0.7115.4123913491121.11272791982602
0.71115.6197786535931.09902720369812
0.72115.8282822889911.09775282793942
0.73116.0397209301971.1064234530786
0.74116.2553962631971.12171563085824
0.75116.4758983218161.13978828491404
0.76116.70093022651.15590866663974
0.77116.9291771482461.16464393210894
0.78117.1582574020561.1602162614272
0.79117.3847997812741.1373435727825
0.8117.604683518441.0920397446244
0.81117.813452035011.02277341526469
0.82118.006871302610.931095966218277
0.83118.1815569453730.821882674395564
0.84118.3355542866720.702941059852089
0.85118.4687360774660.583952180692075
0.86118.5828939392990.475170149204207
0.87118.6814458912850.385808882483147
0.88118.7687609906130.322511758663628
0.89118.8492028505270.286555335237609
0.9118.9260971327420.271143951551265


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')