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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Dec 2007 07:12:11 -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/2007/Dec/16/t1197813382s83r5cf0fergkms.htm/, Retrieved Thu, 02 May 2024 05:33:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4181, Retrieved Thu, 02 May 2024 05:33:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

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] [Harrell-Davis Qua...] [2007-12-16 14:12:11] [014bfc073eb4f6c1ae65a07cc44c50c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
108,4
117
103,8
100,8
110,6
104
112,6
107,3
98,9
109,8
104,9
102,2
123,9
124,9
112,7
121,9
100,6
104,3
120,4
107,5
102,9
125,6
107,5
108,8
128,4
121,1
119,5
128,7
108,7
105,5
119,8
111,3
110,6
120,1
97,5
107,7
127,3
117,2
119,8
116,2
111
112,4
130,6
109,1
118,8
123,9
101,6
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
126,3
112,9
115,9

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4181&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4181&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4181&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.88746627717331.37818820912022
0.0298.49426047167921.38086540519067
0.0399.16939879412881.34797433691022
0.0499.81104722806271.27500523371489
0.05100.3811683751051.20401629364925
0.06100.8817216785611.17200351617414
0.07101.3300106774611.18239952097011
0.08101.7441489085211.21661151577314
0.09102.1373696200351.25596889685773
0.1102.5174917146021.29122897696769
0.11102.8885482586951.32153998234516
0.12103.2527134416261.35115272340483
0.13103.6116314506251.38509041326698
0.14103.9669390911601.42605862336604
0.15104.3201642128541.47271175881448
0.16104.6723246290321.52018137498065
0.17105.0235326954301.56101474422836
0.18105.3728088671661.58815991099954
0.19105.7181817986691.59665138413790
0.2106.0570415928631.58449518146904
0.21106.3866396336281.55324182331605
0.22106.7046017342091.50747422613893
0.23107.0093366687681.45363152625617
0.24107.3002654644641.3988842374489
0.25107.5778500900331.34950724247804
0.26107.8434472330141.31037769619584
0.27108.0990434482741.28420820793503
0.28108.3469389579681.27127523237200
0.29108.5894415913461.27020994519925
0.3108.8286159325241.27833310705005
0.31109.0661124907491.29227672251823
0.32109.3030830628901.30902276475779
0.33109.5401746000151.32541729190427
0.34109.7775857760171.33950119462424
0.35110.0151674344991.34972840152375
0.36110.2525486757141.35533770887596
0.37110.4892728760691.35654995964573
0.38110.7249309952741.35422500867557
0.39110.9592821669421.34996898698394
0.4111.1923533577321.34562944159659
0.41111.4245108852521.34391694996328
0.42111.6564972726351.34747231695278
0.43111.8894279843391.35893177479903
0.44112.1247447235151.38061034597909
0.45112.3641255960221.41404285166444
0.46112.6093574860481.45981292326647
0.47112.8621817765421.51690213160323
0.48113.1241299072501.58322868736588
0.49113.3963687790681.65503793899840
0.5113.6795764351451.72857200852767
0.51113.9738651108831.79942859820612
0.52114.2787618686881.86345226308273
0.53114.5932478022701.91718326741411
0.54114.9158471473651.95833673674404
0.55115.2447498071161.98551280307683
0.56115.5779467344421.99863842030298
0.57115.9133583971261.99836816295907
0.58116.2489420457851.98570741443809
0.59116.5827722977131.96217391794932
0.6116.9130992576281.92890872553772
0.61117.2383962598421.88735606094465
0.62117.5574129309991.83843036195066
0.63117.8692472635761.78386615694996
0.64118.1734428429591.72543210257219
0.65118.4701058928641.66616191099056
0.66118.7600241991271.61013788465406
0.67119.0447596013121.56230761285798
0.68119.3266807328111.52825834635677
0.69119.6089051833481.51341202834519
0.7119.8951308592601.52173105926142
0.71120.1893538706151.55499167218192
0.72120.4954919863601.61170225710112
0.73120.8169545829101.68688540908466
0.74121.1562175727761.77293265345968
0.75121.5144708479421.86062403501517
0.76121.8914032426001.94006424830949
0.77122.2851746673552.00227352762856
0.78122.6925979180062.04015406945821
0.79123.1095171307772.04936954114128
0.8123.5313315111842.02908833910242
0.81123.9535789871341.98187253210757
0.82124.3724728237191.91349287421709
0.83124.7852826851711.83148690397961
0.84125.1904758858471.74396415440564
0.85125.5875859319721.65774163016726
0.86125.9768474282281.57660786997760
0.87126.3587115986121.50059528745269
0.88126.7334065264901.42654607185159
0.89127.1006983120491.34971031144034
0.9127.4599261799581.26647800469905
0.91127.8102528241301.17629396043628
0.92128.1509843114091.08182822729805
0.93128.4819030524940.98662476337403
0.94128.8038459711080.89151571274312
0.95129.1198849260220.794496577237867
0.96129.4365145038310.69995256961285
0.97129.7614935866730.637032050141586
0.98130.0924729280400.65809295496596
0.99130.3961489009440.768722406425082

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.8874662771733 & 1.37818820912022 \tabularnewline
0.02 & 98.4942604716792 & 1.38086540519067 \tabularnewline
0.03 & 99.1693987941288 & 1.34797433691022 \tabularnewline
0.04 & 99.8110472280627 & 1.27500523371489 \tabularnewline
0.05 & 100.381168375105 & 1.20401629364925 \tabularnewline
0.06 & 100.881721678561 & 1.17200351617414 \tabularnewline
0.07 & 101.330010677461 & 1.18239952097011 \tabularnewline
0.08 & 101.744148908521 & 1.21661151577314 \tabularnewline
0.09 & 102.137369620035 & 1.25596889685773 \tabularnewline
0.1 & 102.517491714602 & 1.29122897696769 \tabularnewline
0.11 & 102.888548258695 & 1.32153998234516 \tabularnewline
0.12 & 103.252713441626 & 1.35115272340483 \tabularnewline
0.13 & 103.611631450625 & 1.38509041326698 \tabularnewline
0.14 & 103.966939091160 & 1.42605862336604 \tabularnewline
0.15 & 104.320164212854 & 1.47271175881448 \tabularnewline
0.16 & 104.672324629032 & 1.52018137498065 \tabularnewline
0.17 & 105.023532695430 & 1.56101474422836 \tabularnewline
0.18 & 105.372808867166 & 1.58815991099954 \tabularnewline
0.19 & 105.718181798669 & 1.59665138413790 \tabularnewline
0.2 & 106.057041592863 & 1.58449518146904 \tabularnewline
0.21 & 106.386639633628 & 1.55324182331605 \tabularnewline
0.22 & 106.704601734209 & 1.50747422613893 \tabularnewline
0.23 & 107.009336668768 & 1.45363152625617 \tabularnewline
0.24 & 107.300265464464 & 1.3988842374489 \tabularnewline
0.25 & 107.577850090033 & 1.34950724247804 \tabularnewline
0.26 & 107.843447233014 & 1.31037769619584 \tabularnewline
0.27 & 108.099043448274 & 1.28420820793503 \tabularnewline
0.28 & 108.346938957968 & 1.27127523237200 \tabularnewline
0.29 & 108.589441591346 & 1.27020994519925 \tabularnewline
0.3 & 108.828615932524 & 1.27833310705005 \tabularnewline
0.31 & 109.066112490749 & 1.29227672251823 \tabularnewline
0.32 & 109.303083062890 & 1.30902276475779 \tabularnewline
0.33 & 109.540174600015 & 1.32541729190427 \tabularnewline
0.34 & 109.777585776017 & 1.33950119462424 \tabularnewline
0.35 & 110.015167434499 & 1.34972840152375 \tabularnewline
0.36 & 110.252548675714 & 1.35533770887596 \tabularnewline
0.37 & 110.489272876069 & 1.35654995964573 \tabularnewline
0.38 & 110.724930995274 & 1.35422500867557 \tabularnewline
0.39 & 110.959282166942 & 1.34996898698394 \tabularnewline
0.4 & 111.192353357732 & 1.34562944159659 \tabularnewline
0.41 & 111.424510885252 & 1.34391694996328 \tabularnewline
0.42 & 111.656497272635 & 1.34747231695278 \tabularnewline
0.43 & 111.889427984339 & 1.35893177479903 \tabularnewline
0.44 & 112.124744723515 & 1.38061034597909 \tabularnewline
0.45 & 112.364125596022 & 1.41404285166444 \tabularnewline
0.46 & 112.609357486048 & 1.45981292326647 \tabularnewline
0.47 & 112.862181776542 & 1.51690213160323 \tabularnewline
0.48 & 113.124129907250 & 1.58322868736588 \tabularnewline
0.49 & 113.396368779068 & 1.65503793899840 \tabularnewline
0.5 & 113.679576435145 & 1.72857200852767 \tabularnewline
0.51 & 113.973865110883 & 1.79942859820612 \tabularnewline
0.52 & 114.278761868688 & 1.86345226308273 \tabularnewline
0.53 & 114.593247802270 & 1.91718326741411 \tabularnewline
0.54 & 114.915847147365 & 1.95833673674404 \tabularnewline
0.55 & 115.244749807116 & 1.98551280307683 \tabularnewline
0.56 & 115.577946734442 & 1.99863842030298 \tabularnewline
0.57 & 115.913358397126 & 1.99836816295907 \tabularnewline
0.58 & 116.248942045785 & 1.98570741443809 \tabularnewline
0.59 & 116.582772297713 & 1.96217391794932 \tabularnewline
0.6 & 116.913099257628 & 1.92890872553772 \tabularnewline
0.61 & 117.238396259842 & 1.88735606094465 \tabularnewline
0.62 & 117.557412930999 & 1.83843036195066 \tabularnewline
0.63 & 117.869247263576 & 1.78386615694996 \tabularnewline
0.64 & 118.173442842959 & 1.72543210257219 \tabularnewline
0.65 & 118.470105892864 & 1.66616191099056 \tabularnewline
0.66 & 118.760024199127 & 1.61013788465406 \tabularnewline
0.67 & 119.044759601312 & 1.56230761285798 \tabularnewline
0.68 & 119.326680732811 & 1.52825834635677 \tabularnewline
0.69 & 119.608905183348 & 1.51341202834519 \tabularnewline
0.7 & 119.895130859260 & 1.52173105926142 \tabularnewline
0.71 & 120.189353870615 & 1.55499167218192 \tabularnewline
0.72 & 120.495491986360 & 1.61170225710112 \tabularnewline
0.73 & 120.816954582910 & 1.68688540908466 \tabularnewline
0.74 & 121.156217572776 & 1.77293265345968 \tabularnewline
0.75 & 121.514470847942 & 1.86062403501517 \tabularnewline
0.76 & 121.891403242600 & 1.94006424830949 \tabularnewline
0.77 & 122.285174667355 & 2.00227352762856 \tabularnewline
0.78 & 122.692597918006 & 2.04015406945821 \tabularnewline
0.79 & 123.109517130777 & 2.04936954114128 \tabularnewline
0.8 & 123.531331511184 & 2.02908833910242 \tabularnewline
0.81 & 123.953578987134 & 1.98187253210757 \tabularnewline
0.82 & 124.372472823719 & 1.91349287421709 \tabularnewline
0.83 & 124.785282685171 & 1.83148690397961 \tabularnewline
0.84 & 125.190475885847 & 1.74396415440564 \tabularnewline
0.85 & 125.587585931972 & 1.65774163016726 \tabularnewline
0.86 & 125.976847428228 & 1.57660786997760 \tabularnewline
0.87 & 126.358711598612 & 1.50059528745269 \tabularnewline
0.88 & 126.733406526490 & 1.42654607185159 \tabularnewline
0.89 & 127.100698312049 & 1.34971031144034 \tabularnewline
0.9 & 127.459926179958 & 1.26647800469905 \tabularnewline
0.91 & 127.810252824130 & 1.17629396043628 \tabularnewline
0.92 & 128.150984311409 & 1.08182822729805 \tabularnewline
0.93 & 128.481903052494 & 0.98662476337403 \tabularnewline
0.94 & 128.803845971108 & 0.89151571274312 \tabularnewline
0.95 & 129.119884926022 & 0.794496577237867 \tabularnewline
0.96 & 129.436514503831 & 0.69995256961285 \tabularnewline
0.97 & 129.761493586673 & 0.637032050141586 \tabularnewline
0.98 & 130.092472928040 & 0.65809295496596 \tabularnewline
0.99 & 130.396148900944 & 0.768722406425082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4181&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]97.8874662771733[/C][C]1.37818820912022[/C][/ROW]
[ROW][C]0.02[/C][C]98.4942604716792[/C][C]1.38086540519067[/C][/ROW]
[ROW][C]0.03[/C][C]99.1693987941288[/C][C]1.34797433691022[/C][/ROW]
[ROW][C]0.04[/C][C]99.8110472280627[/C][C]1.27500523371489[/C][/ROW]
[ROW][C]0.05[/C][C]100.381168375105[/C][C]1.20401629364925[/C][/ROW]
[ROW][C]0.06[/C][C]100.881721678561[/C][C]1.17200351617414[/C][/ROW]
[ROW][C]0.07[/C][C]101.330010677461[/C][C]1.18239952097011[/C][/ROW]
[ROW][C]0.08[/C][C]101.744148908521[/C][C]1.21661151577314[/C][/ROW]
[ROW][C]0.09[/C][C]102.137369620035[/C][C]1.25596889685773[/C][/ROW]
[ROW][C]0.1[/C][C]102.517491714602[/C][C]1.29122897696769[/C][/ROW]
[ROW][C]0.11[/C][C]102.888548258695[/C][C]1.32153998234516[/C][/ROW]
[ROW][C]0.12[/C][C]103.252713441626[/C][C]1.35115272340483[/C][/ROW]
[ROW][C]0.13[/C][C]103.611631450625[/C][C]1.38509041326698[/C][/ROW]
[ROW][C]0.14[/C][C]103.966939091160[/C][C]1.42605862336604[/C][/ROW]
[ROW][C]0.15[/C][C]104.320164212854[/C][C]1.47271175881448[/C][/ROW]
[ROW][C]0.16[/C][C]104.672324629032[/C][C]1.52018137498065[/C][/ROW]
[ROW][C]0.17[/C][C]105.023532695430[/C][C]1.56101474422836[/C][/ROW]
[ROW][C]0.18[/C][C]105.372808867166[/C][C]1.58815991099954[/C][/ROW]
[ROW][C]0.19[/C][C]105.718181798669[/C][C]1.59665138413790[/C][/ROW]
[ROW][C]0.2[/C][C]106.057041592863[/C][C]1.58449518146904[/C][/ROW]
[ROW][C]0.21[/C][C]106.386639633628[/C][C]1.55324182331605[/C][/ROW]
[ROW][C]0.22[/C][C]106.704601734209[/C][C]1.50747422613893[/C][/ROW]
[ROW][C]0.23[/C][C]107.009336668768[/C][C]1.45363152625617[/C][/ROW]
[ROW][C]0.24[/C][C]107.300265464464[/C][C]1.3988842374489[/C][/ROW]
[ROW][C]0.25[/C][C]107.577850090033[/C][C]1.34950724247804[/C][/ROW]
[ROW][C]0.26[/C][C]107.843447233014[/C][C]1.31037769619584[/C][/ROW]
[ROW][C]0.27[/C][C]108.099043448274[/C][C]1.28420820793503[/C][/ROW]
[ROW][C]0.28[/C][C]108.346938957968[/C][C]1.27127523237200[/C][/ROW]
[ROW][C]0.29[/C][C]108.589441591346[/C][C]1.27020994519925[/C][/ROW]
[ROW][C]0.3[/C][C]108.828615932524[/C][C]1.27833310705005[/C][/ROW]
[ROW][C]0.31[/C][C]109.066112490749[/C][C]1.29227672251823[/C][/ROW]
[ROW][C]0.32[/C][C]109.303083062890[/C][C]1.30902276475779[/C][/ROW]
[ROW][C]0.33[/C][C]109.540174600015[/C][C]1.32541729190427[/C][/ROW]
[ROW][C]0.34[/C][C]109.777585776017[/C][C]1.33950119462424[/C][/ROW]
[ROW][C]0.35[/C][C]110.015167434499[/C][C]1.34972840152375[/C][/ROW]
[ROW][C]0.36[/C][C]110.252548675714[/C][C]1.35533770887596[/C][/ROW]
[ROW][C]0.37[/C][C]110.489272876069[/C][C]1.35654995964573[/C][/ROW]
[ROW][C]0.38[/C][C]110.724930995274[/C][C]1.35422500867557[/C][/ROW]
[ROW][C]0.39[/C][C]110.959282166942[/C][C]1.34996898698394[/C][/ROW]
[ROW][C]0.4[/C][C]111.192353357732[/C][C]1.34562944159659[/C][/ROW]
[ROW][C]0.41[/C][C]111.424510885252[/C][C]1.34391694996328[/C][/ROW]
[ROW][C]0.42[/C][C]111.656497272635[/C][C]1.34747231695278[/C][/ROW]
[ROW][C]0.43[/C][C]111.889427984339[/C][C]1.35893177479903[/C][/ROW]
[ROW][C]0.44[/C][C]112.124744723515[/C][C]1.38061034597909[/C][/ROW]
[ROW][C]0.45[/C][C]112.364125596022[/C][C]1.41404285166444[/C][/ROW]
[ROW][C]0.46[/C][C]112.609357486048[/C][C]1.45981292326647[/C][/ROW]
[ROW][C]0.47[/C][C]112.862181776542[/C][C]1.51690213160323[/C][/ROW]
[ROW][C]0.48[/C][C]113.124129907250[/C][C]1.58322868736588[/C][/ROW]
[ROW][C]0.49[/C][C]113.396368779068[/C][C]1.65503793899840[/C][/ROW]
[ROW][C]0.5[/C][C]113.679576435145[/C][C]1.72857200852767[/C][/ROW]
[ROW][C]0.51[/C][C]113.973865110883[/C][C]1.79942859820612[/C][/ROW]
[ROW][C]0.52[/C][C]114.278761868688[/C][C]1.86345226308273[/C][/ROW]
[ROW][C]0.53[/C][C]114.593247802270[/C][C]1.91718326741411[/C][/ROW]
[ROW][C]0.54[/C][C]114.915847147365[/C][C]1.95833673674404[/C][/ROW]
[ROW][C]0.55[/C][C]115.244749807116[/C][C]1.98551280307683[/C][/ROW]
[ROW][C]0.56[/C][C]115.577946734442[/C][C]1.99863842030298[/C][/ROW]
[ROW][C]0.57[/C][C]115.913358397126[/C][C]1.99836816295907[/C][/ROW]
[ROW][C]0.58[/C][C]116.248942045785[/C][C]1.98570741443809[/C][/ROW]
[ROW][C]0.59[/C][C]116.582772297713[/C][C]1.96217391794932[/C][/ROW]
[ROW][C]0.6[/C][C]116.913099257628[/C][C]1.92890872553772[/C][/ROW]
[ROW][C]0.61[/C][C]117.238396259842[/C][C]1.88735606094465[/C][/ROW]
[ROW][C]0.62[/C][C]117.557412930999[/C][C]1.83843036195066[/C][/ROW]
[ROW][C]0.63[/C][C]117.869247263576[/C][C]1.78386615694996[/C][/ROW]
[ROW][C]0.64[/C][C]118.173442842959[/C][C]1.72543210257219[/C][/ROW]
[ROW][C]0.65[/C][C]118.470105892864[/C][C]1.66616191099056[/C][/ROW]
[ROW][C]0.66[/C][C]118.760024199127[/C][C]1.61013788465406[/C][/ROW]
[ROW][C]0.67[/C][C]119.044759601312[/C][C]1.56230761285798[/C][/ROW]
[ROW][C]0.68[/C][C]119.326680732811[/C][C]1.52825834635677[/C][/ROW]
[ROW][C]0.69[/C][C]119.608905183348[/C][C]1.51341202834519[/C][/ROW]
[ROW][C]0.7[/C][C]119.895130859260[/C][C]1.52173105926142[/C][/ROW]
[ROW][C]0.71[/C][C]120.189353870615[/C][C]1.55499167218192[/C][/ROW]
[ROW][C]0.72[/C][C]120.495491986360[/C][C]1.61170225710112[/C][/ROW]
[ROW][C]0.73[/C][C]120.816954582910[/C][C]1.68688540908466[/C][/ROW]
[ROW][C]0.74[/C][C]121.156217572776[/C][C]1.77293265345968[/C][/ROW]
[ROW][C]0.75[/C][C]121.514470847942[/C][C]1.86062403501517[/C][/ROW]
[ROW][C]0.76[/C][C]121.891403242600[/C][C]1.94006424830949[/C][/ROW]
[ROW][C]0.77[/C][C]122.285174667355[/C][C]2.00227352762856[/C][/ROW]
[ROW][C]0.78[/C][C]122.692597918006[/C][C]2.04015406945821[/C][/ROW]
[ROW][C]0.79[/C][C]123.109517130777[/C][C]2.04936954114128[/C][/ROW]
[ROW][C]0.8[/C][C]123.531331511184[/C][C]2.02908833910242[/C][/ROW]
[ROW][C]0.81[/C][C]123.953578987134[/C][C]1.98187253210757[/C][/ROW]
[ROW][C]0.82[/C][C]124.372472823719[/C][C]1.91349287421709[/C][/ROW]
[ROW][C]0.83[/C][C]124.785282685171[/C][C]1.83148690397961[/C][/ROW]
[ROW][C]0.84[/C][C]125.190475885847[/C][C]1.74396415440564[/C][/ROW]
[ROW][C]0.85[/C][C]125.587585931972[/C][C]1.65774163016726[/C][/ROW]
[ROW][C]0.86[/C][C]125.976847428228[/C][C]1.57660786997760[/C][/ROW]
[ROW][C]0.87[/C][C]126.358711598612[/C][C]1.50059528745269[/C][/ROW]
[ROW][C]0.88[/C][C]126.733406526490[/C][C]1.42654607185159[/C][/ROW]
[ROW][C]0.89[/C][C]127.100698312049[/C][C]1.34971031144034[/C][/ROW]
[ROW][C]0.9[/C][C]127.459926179958[/C][C]1.26647800469905[/C][/ROW]
[ROW][C]0.91[/C][C]127.810252824130[/C][C]1.17629396043628[/C][/ROW]
[ROW][C]0.92[/C][C]128.150984311409[/C][C]1.08182822729805[/C][/ROW]
[ROW][C]0.93[/C][C]128.481903052494[/C][C]0.98662476337403[/C][/ROW]
[ROW][C]0.94[/C][C]128.803845971108[/C][C]0.89151571274312[/C][/ROW]
[ROW][C]0.95[/C][C]129.119884926022[/C][C]0.794496577237867[/C][/ROW]
[ROW][C]0.96[/C][C]129.436514503831[/C][C]0.69995256961285[/C][/ROW]
[ROW][C]0.97[/C][C]129.761493586673[/C][C]0.637032050141586[/C][/ROW]
[ROW][C]0.98[/C][C]130.092472928040[/C][C]0.65809295496596[/C][/ROW]
[ROW][C]0.99[/C][C]130.396148900944[/C][C]0.768722406425082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4181&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4181&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
0.0197.88746627717331.37818820912022
0.0298.49426047167921.38086540519067
0.0399.16939879412881.34797433691022
0.0499.81104722806271.27500523371489
0.05100.3811683751051.20401629364925
0.06100.8817216785611.17200351617414
0.07101.3300106774611.18239952097011
0.08101.7441489085211.21661151577314
0.09102.1373696200351.25596889685773
0.1102.5174917146021.29122897696769
0.11102.8885482586951.32153998234516
0.12103.2527134416261.35115272340483
0.13103.6116314506251.38509041326698
0.14103.9669390911601.42605862336604
0.15104.3201642128541.47271175881448
0.16104.6723246290321.52018137498065
0.17105.0235326954301.56101474422836
0.18105.3728088671661.58815991099954
0.19105.7181817986691.59665138413790
0.2106.0570415928631.58449518146904
0.21106.3866396336281.55324182331605
0.22106.7046017342091.50747422613893
0.23107.0093366687681.45363152625617
0.24107.3002654644641.3988842374489
0.25107.5778500900331.34950724247804
0.26107.8434472330141.31037769619584
0.27108.0990434482741.28420820793503
0.28108.3469389579681.27127523237200
0.29108.5894415913461.27020994519925
0.3108.8286159325241.27833310705005
0.31109.0661124907491.29227672251823
0.32109.3030830628901.30902276475779
0.33109.5401746000151.32541729190427
0.34109.7775857760171.33950119462424
0.35110.0151674344991.34972840152375
0.36110.2525486757141.35533770887596
0.37110.4892728760691.35654995964573
0.38110.7249309952741.35422500867557
0.39110.9592821669421.34996898698394
0.4111.1923533577321.34562944159659
0.41111.4245108852521.34391694996328
0.42111.6564972726351.34747231695278
0.43111.8894279843391.35893177479903
0.44112.1247447235151.38061034597909
0.45112.3641255960221.41404285166444
0.46112.6093574860481.45981292326647
0.47112.8621817765421.51690213160323
0.48113.1241299072501.58322868736588
0.49113.3963687790681.65503793899840
0.5113.6795764351451.72857200852767
0.51113.9738651108831.79942859820612
0.52114.2787618686881.86345226308273
0.53114.5932478022701.91718326741411
0.54114.9158471473651.95833673674404
0.55115.2447498071161.98551280307683
0.56115.5779467344421.99863842030298
0.57115.9133583971261.99836816295907
0.58116.2489420457851.98570741443809
0.59116.5827722977131.96217391794932
0.6116.9130992576281.92890872553772
0.61117.2383962598421.88735606094465
0.62117.5574129309991.83843036195066
0.63117.8692472635761.78386615694996
0.64118.1734428429591.72543210257219
0.65118.4701058928641.66616191099056
0.66118.7600241991271.61013788465406
0.67119.0447596013121.56230761285798
0.68119.3266807328111.52825834635677
0.69119.6089051833481.51341202834519
0.7119.8951308592601.52173105926142
0.71120.1893538706151.55499167218192
0.72120.4954919863601.61170225710112
0.73120.8169545829101.68688540908466
0.74121.1562175727761.77293265345968
0.75121.5144708479421.86062403501517
0.76121.8914032426001.94006424830949
0.77122.2851746673552.00227352762856
0.78122.6925979180062.04015406945821
0.79123.1095171307772.04936954114128
0.8123.5313315111842.02908833910242
0.81123.9535789871341.98187253210757
0.82124.3724728237191.91349287421709
0.83124.7852826851711.83148690397961
0.84125.1904758858471.74396415440564
0.85125.5875859319721.65774163016726
0.86125.9768474282281.57660786997760
0.87126.3587115986121.50059528745269
0.88126.7334065264901.42654607185159
0.89127.1006983120491.34971031144034
0.9127.4599261799581.26647800469905
0.91127.8102528241301.17629396043628
0.92128.1509843114091.08182822729805
0.93128.4819030524940.98662476337403
0.94128.8038459711080.89151571274312
0.95129.1198849260220.794496577237867
0.96129.4365145038310.69995256961285
0.97129.7614935866730.637032050141586
0.98130.0924729280400.65809295496596
0.99130.3961489009440.768722406425082


Figures (Output of Computation)

Input Parameters & R Code

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')