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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 04 Mar 2010 03:19:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/04/t1267698130nayfntm31gw5yx6.htm/, Retrieved Tue, 18 Jan 2022 14:08:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73973, Retrieved Tue, 18 Jan 2022 14:08:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-04 10:19:45] [6be1587f4b9760ef373df169f4355671] [Current]
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Dataseries X:
132.8
132.5
131.4
131.4
130.7
131.5
131.2
130.1
130.5
129
128.2
128.4
127.3
127.7
127
123.9
125.4
124.6
124.5
124.8
124.1
124.2
122.8
122.3
121.1
121.7
122.2
122.2
122.7
121.7
121
119.8
120.2
116.6
116
118
117.1
116.2
113.3
114.3
113.6
113
112.9
112.7
112.5
113
111.9
110.9
109.8
108.3
109.2
109.2
108.7
109.8
110.8
110
109.6
109.5
110.8
111.6
113.1
114.3
114.1
113.8
112.6
112.7
111.5
110.7
110.4
109.7
110
111.3
109
108.2
107.2
108.7
110.3
110.3
109.5
109.5
109.4
109.6
111.3
110
109.5
110.693
109.195
108.095
108.199
106.87
105.278
108.711
111.192
109.641
109.42
109.935
111.126
110.733
110.34
111.766
111.294
111.54
112.008
111.007
114.963
112.045
110.703
108.894
107.51
111.35
112.964
115.203
115.182
115.191
112.346
110.774
113.07
111.138
109.092
107.971
107.051




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73973&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73973&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01106.0679860672700.949434210543566
0.02106.8326324906010.490933013491575
0.03107.2816646484830.432741245912227
0.04107.5939997636990.442255449264947
0.05107.8541265718630.410088637330598
0.06108.0728657823460.366455553331531
0.07108.2568479389930.342694545237722
0.08108.4176682356680.336804781098228
0.09108.5642809914280.333368297731907
0.1108.7002398344480.324239991580385
0.11108.8258006635580.309325620182555
0.12108.9405077543800.291059307966471
0.13109.0443538257970.271602463481657
0.14109.1378554271130.252168221543373
0.15109.2218354170560.233213617934807
0.16109.2973077295740.215843572636769
0.17109.3655010834440.201115473510033
0.18109.4279296943300.190688469309293
0.19109.4864140555460.186294860552785
0.2109.5429948837940.189017061080148
0.21109.5997444370040.198877270039750
0.22109.6585348751470.214695797593028
0.23109.7208414569380.234725032392086
0.24109.787631922980.256911665365012
0.25109.8593461943680.279518865335038
0.26109.9359352876940.301038899824231
0.27110.0169226203070.320057206088075
0.28110.1014695837660.335059611637206
0.29110.1884516904700.345161291090258
0.3110.2765636543290.349536543707138
0.31110.3644640538360.348412594272104
0.32110.4509482505090.342316955168281
0.33110.5351157279180.333349568258788
0.34110.6164888182230.322859638734195
0.35110.6950504578980.313525788584634
0.36110.7711951933370.306602556388928
0.37110.8456178726620.30334528336402
0.38110.9191841352720.3039119075358
0.39110.9928270167030.308085598940004
0.4111.0674952784750.316031479073454
0.41111.1441507865070.327961376060136
0.42111.2237875555790.34397726887915
0.43111.3074345708050.364481493536848
0.44111.3961117946030.389800938505280
0.45111.4907297715490.418759535138638
0.46111.5919489542870.449859946920955
0.47111.7000357043280.481121937988435
0.48111.8147612484350.509878866967655
0.49111.9353855050690.533970251197454
0.5112.0607513562750.551649729248723
0.51112.1894907707840.562070086282122
0.52112.3203173986590.566789275669553
0.53112.4523564206050.567995002617437
0.54112.5854471187310.569601999569134
0.55112.7203518567250.576292652922222
0.56112.858820163710.592529130094337
0.57113.0034881627860.622498756810521
0.58113.1576364201680.667840111956286
0.59113.324872856710.728543957453727
0.6113.5088375028010.803782996424831
0.61113.7130286330120.891125471775251
0.62113.9408165182990.989849403923523
0.63114.1956431516881.10039769514553
0.64114.4813183341291.22487111172270
0.65114.8022413837891.36642198623872
0.66115.1633377258301.52759473329681
0.67115.5695323561981.70751785439948
0.68116.0247027676891.89978643876617
0.69116.5302468868242.09098055075779
0.7117.0836134485442.26226757843459
0.71117.6772894900122.39174637593206
0.72118.2987362858402.45995259399292
0.73118.9315642962352.45424188490373
0.74119.5578694305552.37395587286961
0.75120.1612332198562.23111184006887
0.76120.7295875649432.04829784392563
0.77121.2571138108971.85387627706239
0.78121.7446457396731.67507664287374
0.79122.1985926530181.53130688118599
0.8122.6289691897411.43117123340652
0.81123.0474247716331.3742131446677
0.82123.4659919940971.35552520489052
0.83123.896640904671.37191053511027
0.84124.3509880436911.42178911745815
0.85124.8392397771681.49914492768127
0.86125.3680576805671.58784564498315
0.87125.9382710534231.66282951657256
0.88126.5441896402281.70073375751405
0.89127.1755373718681.69180716150837
0.9127.8207672012071.64315740033236
0.91128.4686480195381.56652027549668
0.92129.1060248591151.46063387780253
0.93129.7136578242961.30869208935199
0.94130.2657165320091.09806439914745
0.95130.7389093463420.844278793898003
0.96131.1349148818230.604350512546359
0.97131.5084184540090.491458559362799
0.98131.9526268616280.567463364673482
0.99132.4656788794600.536201491573691

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 106.067986067270 & 0.949434210543566 \tabularnewline
0.02 & 106.832632490601 & 0.490933013491575 \tabularnewline
0.03 & 107.281664648483 & 0.432741245912227 \tabularnewline
0.04 & 107.593999763699 & 0.442255449264947 \tabularnewline
0.05 & 107.854126571863 & 0.410088637330598 \tabularnewline
0.06 & 108.072865782346 & 0.366455553331531 \tabularnewline
0.07 & 108.256847938993 & 0.342694545237722 \tabularnewline
0.08 & 108.417668235668 & 0.336804781098228 \tabularnewline
0.09 & 108.564280991428 & 0.333368297731907 \tabularnewline
0.1 & 108.700239834448 & 0.324239991580385 \tabularnewline
0.11 & 108.825800663558 & 0.309325620182555 \tabularnewline
0.12 & 108.940507754380 & 0.291059307966471 \tabularnewline
0.13 & 109.044353825797 & 0.271602463481657 \tabularnewline
0.14 & 109.137855427113 & 0.252168221543373 \tabularnewline
0.15 & 109.221835417056 & 0.233213617934807 \tabularnewline
0.16 & 109.297307729574 & 0.215843572636769 \tabularnewline
0.17 & 109.365501083444 & 0.201115473510033 \tabularnewline
0.18 & 109.427929694330 & 0.190688469309293 \tabularnewline
0.19 & 109.486414055546 & 0.186294860552785 \tabularnewline
0.2 & 109.542994883794 & 0.189017061080148 \tabularnewline
0.21 & 109.599744437004 & 0.198877270039750 \tabularnewline
0.22 & 109.658534875147 & 0.214695797593028 \tabularnewline
0.23 & 109.720841456938 & 0.234725032392086 \tabularnewline
0.24 & 109.78763192298 & 0.256911665365012 \tabularnewline
0.25 & 109.859346194368 & 0.279518865335038 \tabularnewline
0.26 & 109.935935287694 & 0.301038899824231 \tabularnewline
0.27 & 110.016922620307 & 0.320057206088075 \tabularnewline
0.28 & 110.101469583766 & 0.335059611637206 \tabularnewline
0.29 & 110.188451690470 & 0.345161291090258 \tabularnewline
0.3 & 110.276563654329 & 0.349536543707138 \tabularnewline
0.31 & 110.364464053836 & 0.348412594272104 \tabularnewline
0.32 & 110.450948250509 & 0.342316955168281 \tabularnewline
0.33 & 110.535115727918 & 0.333349568258788 \tabularnewline
0.34 & 110.616488818223 & 0.322859638734195 \tabularnewline
0.35 & 110.695050457898 & 0.313525788584634 \tabularnewline
0.36 & 110.771195193337 & 0.306602556388928 \tabularnewline
0.37 & 110.845617872662 & 0.30334528336402 \tabularnewline
0.38 & 110.919184135272 & 0.3039119075358 \tabularnewline
0.39 & 110.992827016703 & 0.308085598940004 \tabularnewline
0.4 & 111.067495278475 & 0.316031479073454 \tabularnewline
0.41 & 111.144150786507 & 0.327961376060136 \tabularnewline
0.42 & 111.223787555579 & 0.34397726887915 \tabularnewline
0.43 & 111.307434570805 & 0.364481493536848 \tabularnewline
0.44 & 111.396111794603 & 0.389800938505280 \tabularnewline
0.45 & 111.490729771549 & 0.418759535138638 \tabularnewline
0.46 & 111.591948954287 & 0.449859946920955 \tabularnewline
0.47 & 111.700035704328 & 0.481121937988435 \tabularnewline
0.48 & 111.814761248435 & 0.509878866967655 \tabularnewline
0.49 & 111.935385505069 & 0.533970251197454 \tabularnewline
0.5 & 112.060751356275 & 0.551649729248723 \tabularnewline
0.51 & 112.189490770784 & 0.562070086282122 \tabularnewline
0.52 & 112.320317398659 & 0.566789275669553 \tabularnewline
0.53 & 112.452356420605 & 0.567995002617437 \tabularnewline
0.54 & 112.585447118731 & 0.569601999569134 \tabularnewline
0.55 & 112.720351856725 & 0.576292652922222 \tabularnewline
0.56 & 112.85882016371 & 0.592529130094337 \tabularnewline
0.57 & 113.003488162786 & 0.622498756810521 \tabularnewline
0.58 & 113.157636420168 & 0.667840111956286 \tabularnewline
0.59 & 113.32487285671 & 0.728543957453727 \tabularnewline
0.6 & 113.508837502801 & 0.803782996424831 \tabularnewline
0.61 & 113.713028633012 & 0.891125471775251 \tabularnewline
0.62 & 113.940816518299 & 0.989849403923523 \tabularnewline
0.63 & 114.195643151688 & 1.10039769514553 \tabularnewline
0.64 & 114.481318334129 & 1.22487111172270 \tabularnewline
0.65 & 114.802241383789 & 1.36642198623872 \tabularnewline
0.66 & 115.163337725830 & 1.52759473329681 \tabularnewline
0.67 & 115.569532356198 & 1.70751785439948 \tabularnewline
0.68 & 116.024702767689 & 1.89978643876617 \tabularnewline
0.69 & 116.530246886824 & 2.09098055075779 \tabularnewline
0.7 & 117.083613448544 & 2.26226757843459 \tabularnewline
0.71 & 117.677289490012 & 2.39174637593206 \tabularnewline
0.72 & 118.298736285840 & 2.45995259399292 \tabularnewline
0.73 & 118.931564296235 & 2.45424188490373 \tabularnewline
0.74 & 119.557869430555 & 2.37395587286961 \tabularnewline
0.75 & 120.161233219856 & 2.23111184006887 \tabularnewline
0.76 & 120.729587564943 & 2.04829784392563 \tabularnewline
0.77 & 121.257113810897 & 1.85387627706239 \tabularnewline
0.78 & 121.744645739673 & 1.67507664287374 \tabularnewline
0.79 & 122.198592653018 & 1.53130688118599 \tabularnewline
0.8 & 122.628969189741 & 1.43117123340652 \tabularnewline
0.81 & 123.047424771633 & 1.3742131446677 \tabularnewline
0.82 & 123.465991994097 & 1.35552520489052 \tabularnewline
0.83 & 123.89664090467 & 1.37191053511027 \tabularnewline
0.84 & 124.350988043691 & 1.42178911745815 \tabularnewline
0.85 & 124.839239777168 & 1.49914492768127 \tabularnewline
0.86 & 125.368057680567 & 1.58784564498315 \tabularnewline
0.87 & 125.938271053423 & 1.66282951657256 \tabularnewline
0.88 & 126.544189640228 & 1.70073375751405 \tabularnewline
0.89 & 127.175537371868 & 1.69180716150837 \tabularnewline
0.9 & 127.820767201207 & 1.64315740033236 \tabularnewline
0.91 & 128.468648019538 & 1.56652027549668 \tabularnewline
0.92 & 129.106024859115 & 1.46063387780253 \tabularnewline
0.93 & 129.713657824296 & 1.30869208935199 \tabularnewline
0.94 & 130.265716532009 & 1.09806439914745 \tabularnewline
0.95 & 130.738909346342 & 0.844278793898003 \tabularnewline
0.96 & 131.134914881823 & 0.604350512546359 \tabularnewline
0.97 & 131.508418454009 & 0.491458559362799 \tabularnewline
0.98 & 131.952626861628 & 0.567463364673482 \tabularnewline
0.99 & 132.465678879460 & 0.536201491573691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73973&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]106.067986067270[/C][C]0.949434210543566[/C][/ROW]
[ROW][C]0.02[/C][C]106.832632490601[/C][C]0.490933013491575[/C][/ROW]
[ROW][C]0.03[/C][C]107.281664648483[/C][C]0.432741245912227[/C][/ROW]
[ROW][C]0.04[/C][C]107.593999763699[/C][C]0.442255449264947[/C][/ROW]
[ROW][C]0.05[/C][C]107.854126571863[/C][C]0.410088637330598[/C][/ROW]
[ROW][C]0.06[/C][C]108.072865782346[/C][C]0.366455553331531[/C][/ROW]
[ROW][C]0.07[/C][C]108.256847938993[/C][C]0.342694545237722[/C][/ROW]
[ROW][C]0.08[/C][C]108.417668235668[/C][C]0.336804781098228[/C][/ROW]
[ROW][C]0.09[/C][C]108.564280991428[/C][C]0.333368297731907[/C][/ROW]
[ROW][C]0.1[/C][C]108.700239834448[/C][C]0.324239991580385[/C][/ROW]
[ROW][C]0.11[/C][C]108.825800663558[/C][C]0.309325620182555[/C][/ROW]
[ROW][C]0.12[/C][C]108.940507754380[/C][C]0.291059307966471[/C][/ROW]
[ROW][C]0.13[/C][C]109.044353825797[/C][C]0.271602463481657[/C][/ROW]
[ROW][C]0.14[/C][C]109.137855427113[/C][C]0.252168221543373[/C][/ROW]
[ROW][C]0.15[/C][C]109.221835417056[/C][C]0.233213617934807[/C][/ROW]
[ROW][C]0.16[/C][C]109.297307729574[/C][C]0.215843572636769[/C][/ROW]
[ROW][C]0.17[/C][C]109.365501083444[/C][C]0.201115473510033[/C][/ROW]
[ROW][C]0.18[/C][C]109.427929694330[/C][C]0.190688469309293[/C][/ROW]
[ROW][C]0.19[/C][C]109.486414055546[/C][C]0.186294860552785[/C][/ROW]
[ROW][C]0.2[/C][C]109.542994883794[/C][C]0.189017061080148[/C][/ROW]
[ROW][C]0.21[/C][C]109.599744437004[/C][C]0.198877270039750[/C][/ROW]
[ROW][C]0.22[/C][C]109.658534875147[/C][C]0.214695797593028[/C][/ROW]
[ROW][C]0.23[/C][C]109.720841456938[/C][C]0.234725032392086[/C][/ROW]
[ROW][C]0.24[/C][C]109.78763192298[/C][C]0.256911665365012[/C][/ROW]
[ROW][C]0.25[/C][C]109.859346194368[/C][C]0.279518865335038[/C][/ROW]
[ROW][C]0.26[/C][C]109.935935287694[/C][C]0.301038899824231[/C][/ROW]
[ROW][C]0.27[/C][C]110.016922620307[/C][C]0.320057206088075[/C][/ROW]
[ROW][C]0.28[/C][C]110.101469583766[/C][C]0.335059611637206[/C][/ROW]
[ROW][C]0.29[/C][C]110.188451690470[/C][C]0.345161291090258[/C][/ROW]
[ROW][C]0.3[/C][C]110.276563654329[/C][C]0.349536543707138[/C][/ROW]
[ROW][C]0.31[/C][C]110.364464053836[/C][C]0.348412594272104[/C][/ROW]
[ROW][C]0.32[/C][C]110.450948250509[/C][C]0.342316955168281[/C][/ROW]
[ROW][C]0.33[/C][C]110.535115727918[/C][C]0.333349568258788[/C][/ROW]
[ROW][C]0.34[/C][C]110.616488818223[/C][C]0.322859638734195[/C][/ROW]
[ROW][C]0.35[/C][C]110.695050457898[/C][C]0.313525788584634[/C][/ROW]
[ROW][C]0.36[/C][C]110.771195193337[/C][C]0.306602556388928[/C][/ROW]
[ROW][C]0.37[/C][C]110.845617872662[/C][C]0.30334528336402[/C][/ROW]
[ROW][C]0.38[/C][C]110.919184135272[/C][C]0.3039119075358[/C][/ROW]
[ROW][C]0.39[/C][C]110.992827016703[/C][C]0.308085598940004[/C][/ROW]
[ROW][C]0.4[/C][C]111.067495278475[/C][C]0.316031479073454[/C][/ROW]
[ROW][C]0.41[/C][C]111.144150786507[/C][C]0.327961376060136[/C][/ROW]
[ROW][C]0.42[/C][C]111.223787555579[/C][C]0.34397726887915[/C][/ROW]
[ROW][C]0.43[/C][C]111.307434570805[/C][C]0.364481493536848[/C][/ROW]
[ROW][C]0.44[/C][C]111.396111794603[/C][C]0.389800938505280[/C][/ROW]
[ROW][C]0.45[/C][C]111.490729771549[/C][C]0.418759535138638[/C][/ROW]
[ROW][C]0.46[/C][C]111.591948954287[/C][C]0.449859946920955[/C][/ROW]
[ROW][C]0.47[/C][C]111.700035704328[/C][C]0.481121937988435[/C][/ROW]
[ROW][C]0.48[/C][C]111.814761248435[/C][C]0.509878866967655[/C][/ROW]
[ROW][C]0.49[/C][C]111.935385505069[/C][C]0.533970251197454[/C][/ROW]
[ROW][C]0.5[/C][C]112.060751356275[/C][C]0.551649729248723[/C][/ROW]
[ROW][C]0.51[/C][C]112.189490770784[/C][C]0.562070086282122[/C][/ROW]
[ROW][C]0.52[/C][C]112.320317398659[/C][C]0.566789275669553[/C][/ROW]
[ROW][C]0.53[/C][C]112.452356420605[/C][C]0.567995002617437[/C][/ROW]
[ROW][C]0.54[/C][C]112.585447118731[/C][C]0.569601999569134[/C][/ROW]
[ROW][C]0.55[/C][C]112.720351856725[/C][C]0.576292652922222[/C][/ROW]
[ROW][C]0.56[/C][C]112.85882016371[/C][C]0.592529130094337[/C][/ROW]
[ROW][C]0.57[/C][C]113.003488162786[/C][C]0.622498756810521[/C][/ROW]
[ROW][C]0.58[/C][C]113.157636420168[/C][C]0.667840111956286[/C][/ROW]
[ROW][C]0.59[/C][C]113.32487285671[/C][C]0.728543957453727[/C][/ROW]
[ROW][C]0.6[/C][C]113.508837502801[/C][C]0.803782996424831[/C][/ROW]
[ROW][C]0.61[/C][C]113.713028633012[/C][C]0.891125471775251[/C][/ROW]
[ROW][C]0.62[/C][C]113.940816518299[/C][C]0.989849403923523[/C][/ROW]
[ROW][C]0.63[/C][C]114.195643151688[/C][C]1.10039769514553[/C][/ROW]
[ROW][C]0.64[/C][C]114.481318334129[/C][C]1.22487111172270[/C][/ROW]
[ROW][C]0.65[/C][C]114.802241383789[/C][C]1.36642198623872[/C][/ROW]
[ROW][C]0.66[/C][C]115.163337725830[/C][C]1.52759473329681[/C][/ROW]
[ROW][C]0.67[/C][C]115.569532356198[/C][C]1.70751785439948[/C][/ROW]
[ROW][C]0.68[/C][C]116.024702767689[/C][C]1.89978643876617[/C][/ROW]
[ROW][C]0.69[/C][C]116.530246886824[/C][C]2.09098055075779[/C][/ROW]
[ROW][C]0.7[/C][C]117.083613448544[/C][C]2.26226757843459[/C][/ROW]
[ROW][C]0.71[/C][C]117.677289490012[/C][C]2.39174637593206[/C][/ROW]
[ROW][C]0.72[/C][C]118.298736285840[/C][C]2.45995259399292[/C][/ROW]
[ROW][C]0.73[/C][C]118.931564296235[/C][C]2.45424188490373[/C][/ROW]
[ROW][C]0.74[/C][C]119.557869430555[/C][C]2.37395587286961[/C][/ROW]
[ROW][C]0.75[/C][C]120.161233219856[/C][C]2.23111184006887[/C][/ROW]
[ROW][C]0.76[/C][C]120.729587564943[/C][C]2.04829784392563[/C][/ROW]
[ROW][C]0.77[/C][C]121.257113810897[/C][C]1.85387627706239[/C][/ROW]
[ROW][C]0.78[/C][C]121.744645739673[/C][C]1.67507664287374[/C][/ROW]
[ROW][C]0.79[/C][C]122.198592653018[/C][C]1.53130688118599[/C][/ROW]
[ROW][C]0.8[/C][C]122.628969189741[/C][C]1.43117123340652[/C][/ROW]
[ROW][C]0.81[/C][C]123.047424771633[/C][C]1.3742131446677[/C][/ROW]
[ROW][C]0.82[/C][C]123.465991994097[/C][C]1.35552520489052[/C][/ROW]
[ROW][C]0.83[/C][C]123.89664090467[/C][C]1.37191053511027[/C][/ROW]
[ROW][C]0.84[/C][C]124.350988043691[/C][C]1.42178911745815[/C][/ROW]
[ROW][C]0.85[/C][C]124.839239777168[/C][C]1.49914492768127[/C][/ROW]
[ROW][C]0.86[/C][C]125.368057680567[/C][C]1.58784564498315[/C][/ROW]
[ROW][C]0.87[/C][C]125.938271053423[/C][C]1.66282951657256[/C][/ROW]
[ROW][C]0.88[/C][C]126.544189640228[/C][C]1.70073375751405[/C][/ROW]
[ROW][C]0.89[/C][C]127.175537371868[/C][C]1.69180716150837[/C][/ROW]
[ROW][C]0.9[/C][C]127.820767201207[/C][C]1.64315740033236[/C][/ROW]
[ROW][C]0.91[/C][C]128.468648019538[/C][C]1.56652027549668[/C][/ROW]
[ROW][C]0.92[/C][C]129.106024859115[/C][C]1.46063387780253[/C][/ROW]
[ROW][C]0.93[/C][C]129.713657824296[/C][C]1.30869208935199[/C][/ROW]
[ROW][C]0.94[/C][C]130.265716532009[/C][C]1.09806439914745[/C][/ROW]
[ROW][C]0.95[/C][C]130.738909346342[/C][C]0.844278793898003[/C][/ROW]
[ROW][C]0.96[/C][C]131.134914881823[/C][C]0.604350512546359[/C][/ROW]
[ROW][C]0.97[/C][C]131.508418454009[/C][C]0.491458559362799[/C][/ROW]
[ROW][C]0.98[/C][C]131.952626861628[/C][C]0.567463364673482[/C][/ROW]
[ROW][C]0.99[/C][C]132.465678879460[/C][C]0.536201491573691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73973&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01106.0679860672700.949434210543566
0.02106.8326324906010.490933013491575
0.03107.2816646484830.432741245912227
0.04107.5939997636990.442255449264947
0.05107.8541265718630.410088637330598
0.06108.0728657823460.366455553331531
0.07108.2568479389930.342694545237722
0.08108.4176682356680.336804781098228
0.09108.5642809914280.333368297731907
0.1108.7002398344480.324239991580385
0.11108.8258006635580.309325620182555
0.12108.9405077543800.291059307966471
0.13109.0443538257970.271602463481657
0.14109.1378554271130.252168221543373
0.15109.2218354170560.233213617934807
0.16109.2973077295740.215843572636769
0.17109.3655010834440.201115473510033
0.18109.4279296943300.190688469309293
0.19109.4864140555460.186294860552785
0.2109.5429948837940.189017061080148
0.21109.5997444370040.198877270039750
0.22109.6585348751470.214695797593028
0.23109.7208414569380.234725032392086
0.24109.787631922980.256911665365012
0.25109.8593461943680.279518865335038
0.26109.9359352876940.301038899824231
0.27110.0169226203070.320057206088075
0.28110.1014695837660.335059611637206
0.29110.1884516904700.345161291090258
0.3110.2765636543290.349536543707138
0.31110.3644640538360.348412594272104
0.32110.4509482505090.342316955168281
0.33110.5351157279180.333349568258788
0.34110.6164888182230.322859638734195
0.35110.6950504578980.313525788584634
0.36110.7711951933370.306602556388928
0.37110.8456178726620.30334528336402
0.38110.9191841352720.3039119075358
0.39110.9928270167030.308085598940004
0.4111.0674952784750.316031479073454
0.41111.1441507865070.327961376060136
0.42111.2237875555790.34397726887915
0.43111.3074345708050.364481493536848
0.44111.3961117946030.389800938505280
0.45111.4907297715490.418759535138638
0.46111.5919489542870.449859946920955
0.47111.7000357043280.481121937988435
0.48111.8147612484350.509878866967655
0.49111.9353855050690.533970251197454
0.5112.0607513562750.551649729248723
0.51112.1894907707840.562070086282122
0.52112.3203173986590.566789275669553
0.53112.4523564206050.567995002617437
0.54112.5854471187310.569601999569134
0.55112.7203518567250.576292652922222
0.56112.858820163710.592529130094337
0.57113.0034881627860.622498756810521
0.58113.1576364201680.667840111956286
0.59113.324872856710.728543957453727
0.6113.5088375028010.803782996424831
0.61113.7130286330120.891125471775251
0.62113.9408165182990.989849403923523
0.63114.1956431516881.10039769514553
0.64114.4813183341291.22487111172270
0.65114.8022413837891.36642198623872
0.66115.1633377258301.52759473329681
0.67115.5695323561981.70751785439948
0.68116.0247027676891.89978643876617
0.69116.5302468868242.09098055075779
0.7117.0836134485442.26226757843459
0.71117.6772894900122.39174637593206
0.72118.2987362858402.45995259399292
0.73118.9315642962352.45424188490373
0.74119.5578694305552.37395587286961
0.75120.1612332198562.23111184006887
0.76120.7295875649432.04829784392563
0.77121.2571138108971.85387627706239
0.78121.7446457396731.67507664287374
0.79122.1985926530181.53130688118599
0.8122.6289691897411.43117123340652
0.81123.0474247716331.3742131446677
0.82123.4659919940971.35552520489052
0.83123.896640904671.37191053511027
0.84124.3509880436911.42178911745815
0.85124.8392397771681.49914492768127
0.86125.3680576805671.58784564498315
0.87125.9382710534231.66282951657256
0.88126.5441896402281.70073375751405
0.89127.1755373718681.69180716150837
0.9127.8207672012071.64315740033236
0.91128.4686480195381.56652027549668
0.92129.1060248591151.46063387780253
0.93129.7136578242961.30869208935199
0.94130.2657165320091.09806439914745
0.95130.7389093463420.844278793898003
0.96131.1349148818230.604350512546359
0.97131.5084184540090.491458559362799
0.98131.9526268616280.567463364673482
0.99132.4656788794600.536201491573691



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
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')