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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 13 Mar 2009 05:23:50 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/13/t1236943471v3wcb9pptd4faht.htm/, Retrieved Tue, 07 Feb 2023 18:20:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39053, Retrieved Tue, 07 Feb 2023 18:20:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Datareeks - Finan...] [2009-03-13 11:23:50] [d00efe1a3b3f6588aa0a3288268f2e7e] [Current]
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Dataseries X:
-2
-1
-5
-4
-5
0
-2
-4
-6
-2
-2
-2
1
-2
0
-1
2
3
2
3
4
5
5
4
5
6
4
6
6
3
5
5
5
3
5
5
6
6
5
4
4
0
2
3
3
2
3
5
6
6
5
4
7
5
6
5
6
5
6
6
6
6
6
5
3
4
1
2
3
4
3
-1
1
4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39053&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39053&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-5.709772103521420.804091311537177
0.02-5.290239073635180.67899468758796
0.03-4.855347697316700.747897542455338
0.04-4.42784774758030.908041645598864
0.05-3.999789843200451.03481287177367
0.06-3.575933324268091.07510512665054
0.07-3.175211056594341.02403937410857
0.08-2.817375404820150.907487756955224
0.09-2.512976517374680.767620922605533
0.1-2.260573400314530.648107804326745
0.11-2.049258141737890.581080919839507
0.12-1.863525003695450.576197154491069
0.13-1.688020752181020.619799839784359
0.14-1.510732949456410.689437605463547
0.15-1.32424901340760.766585232780249
0.16-1.125483591111820.839444182784356
0.17-0.9145772926148080.901775191389808
0.18-0.6936068469143620.951189654782039
0.19-0.465508433489090.987577175818016
0.2-0.2333669583012751.01182403997009
0.21-4.97699885538827e-051.02499105817733
0.220.2319193934215371.02795322896738
0.230.460362052820131.02138924852055
0.240.6834098569634661.00595156722945
0.250.8994794415291010.982467003022107
0.261.107268277451420.952050754027069
0.271.305760321425830.91608474151027
0.281.49422321654690.876062621827778
0.291.672183903753490.833358402537562
0.31.839381413355380.789007983060336
0.311.995708188328340.743603783557671
0.322.141159236998320.697352244270304
0.332.275808563963040.650314116094225
0.342.399824475329620.602711620076783
0.352.51352215878290.555244830522845
0.362.617437928577710.509272040032848
0.372.712399496951750.466803168799639
0.382.799564039943170.430298487404162
0.392.88040171579860.402266599361041
0.42.956615113734310.384655029419091
0.413.03000133092110.378185120201871
0.423.102278634740320.381926986994584
0.433.174910006800260.393408328125154
0.443.248958701752140.40922706094902
0.453.325005596065010.425810759894723
0.463.403145779482040.440064122275946
0.473.483065331433160.4498148978797
0.483.564182198449420.454062294251750
0.493.645821323526280.453049272971587
0.53.72738676010390.448125489664339
0.513.808494162045380.441413831289602
0.523.889035749553160.435296294753498
0.533.969164785822050.431790807620953
0.544.049204500057450.431954195489506
0.554.129503267276660.435513096202241
0.564.210269887534480.440878500328206
0.574.291427258342550.445519311981711
0.584.37251861935970.44656880901149
0.594.452688905141720.441415065977996
0.64.530747400050880.428198340574345
0.614.605300780472140.406126451140182
0.624.67493179060970.375587388528941
0.634.738391330055230.33806626203948
0.644.794771991213650.295907035198208
0.654.843638346994950.251965610958949
0.664.885100980285770.209266328152887
0.674.919833697442930.170721051918991
0.684.949042882168930.139044876785713
0.694.974401898124210.116918519067494
0.74.997961120196670.107120882514209
0.715.022037100550630.111718745160657
0.725.049076067436950.130612370174478
0.735.081481973973550.161768859860152
0.745.121401806114760.202378905702759
0.755.170472827446520.249018847609551
0.765.229556263927980.297379693119504
0.775.298503815910750.342310240839715
0.785.37601836760250.378303728758844
0.795.459669047506330.400321547239811
0.85.546097791548650.404737186578802
0.815.631411661569850.390158423638823
0.825.711703184312340.357837115444777
0.835.783597213464860.311535491527888
0.845.844704877900210.256796884223253
0.855.893883136746420.199836922262334
0.865.931249183068280.146325834686561
0.875.957965913756530.100432340315197
0.885.975874348124940.0643262697564987
0.895.987081077976520.0382462907758641
0.95.993607220288730.0209799783169580
0.915.997185330384880.0105585032321537
0.925.999298287201160.00494721479428297
0.936.001679368271390.00329351445337938
0.946.007851140248870.00849492182477018
0.956.026767773831840.0276074936813807
0.966.079032803404920.0804732672521056
0.976.200954768074730.202659433259291
0.986.429004595103050.428846294818435
0.996.742525472248620.736532507717721

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -5.70977210352142 & 0.804091311537177 \tabularnewline
0.02 & -5.29023907363518 & 0.67899468758796 \tabularnewline
0.03 & -4.85534769731670 & 0.747897542455338 \tabularnewline
0.04 & -4.4278477475803 & 0.908041645598864 \tabularnewline
0.05 & -3.99978984320045 & 1.03481287177367 \tabularnewline
0.06 & -3.57593332426809 & 1.07510512665054 \tabularnewline
0.07 & -3.17521105659434 & 1.02403937410857 \tabularnewline
0.08 & -2.81737540482015 & 0.907487756955224 \tabularnewline
0.09 & -2.51297651737468 & 0.767620922605533 \tabularnewline
0.1 & -2.26057340031453 & 0.648107804326745 \tabularnewline
0.11 & -2.04925814173789 & 0.581080919839507 \tabularnewline
0.12 & -1.86352500369545 & 0.576197154491069 \tabularnewline
0.13 & -1.68802075218102 & 0.619799839784359 \tabularnewline
0.14 & -1.51073294945641 & 0.689437605463547 \tabularnewline
0.15 & -1.3242490134076 & 0.766585232780249 \tabularnewline
0.16 & -1.12548359111182 & 0.839444182784356 \tabularnewline
0.17 & -0.914577292614808 & 0.901775191389808 \tabularnewline
0.18 & -0.693606846914362 & 0.951189654782039 \tabularnewline
0.19 & -0.46550843348909 & 0.987577175818016 \tabularnewline
0.2 & -0.233366958301275 & 1.01182403997009 \tabularnewline
0.21 & -4.97699885538827e-05 & 1.02499105817733 \tabularnewline
0.22 & 0.231919393421537 & 1.02795322896738 \tabularnewline
0.23 & 0.46036205282013 & 1.02138924852055 \tabularnewline
0.24 & 0.683409856963466 & 1.00595156722945 \tabularnewline
0.25 & 0.899479441529101 & 0.982467003022107 \tabularnewline
0.26 & 1.10726827745142 & 0.952050754027069 \tabularnewline
0.27 & 1.30576032142583 & 0.91608474151027 \tabularnewline
0.28 & 1.4942232165469 & 0.876062621827778 \tabularnewline
0.29 & 1.67218390375349 & 0.833358402537562 \tabularnewline
0.3 & 1.83938141335538 & 0.789007983060336 \tabularnewline
0.31 & 1.99570818832834 & 0.743603783557671 \tabularnewline
0.32 & 2.14115923699832 & 0.697352244270304 \tabularnewline
0.33 & 2.27580856396304 & 0.650314116094225 \tabularnewline
0.34 & 2.39982447532962 & 0.602711620076783 \tabularnewline
0.35 & 2.5135221587829 & 0.555244830522845 \tabularnewline
0.36 & 2.61743792857771 & 0.509272040032848 \tabularnewline
0.37 & 2.71239949695175 & 0.466803168799639 \tabularnewline
0.38 & 2.79956403994317 & 0.430298487404162 \tabularnewline
0.39 & 2.8804017157986 & 0.402266599361041 \tabularnewline
0.4 & 2.95661511373431 & 0.384655029419091 \tabularnewline
0.41 & 3.0300013309211 & 0.378185120201871 \tabularnewline
0.42 & 3.10227863474032 & 0.381926986994584 \tabularnewline
0.43 & 3.17491000680026 & 0.393408328125154 \tabularnewline
0.44 & 3.24895870175214 & 0.40922706094902 \tabularnewline
0.45 & 3.32500559606501 & 0.425810759894723 \tabularnewline
0.46 & 3.40314577948204 & 0.440064122275946 \tabularnewline
0.47 & 3.48306533143316 & 0.4498148978797 \tabularnewline
0.48 & 3.56418219844942 & 0.454062294251750 \tabularnewline
0.49 & 3.64582132352628 & 0.453049272971587 \tabularnewline
0.5 & 3.7273867601039 & 0.448125489664339 \tabularnewline
0.51 & 3.80849416204538 & 0.441413831289602 \tabularnewline
0.52 & 3.88903574955316 & 0.435296294753498 \tabularnewline
0.53 & 3.96916478582205 & 0.431790807620953 \tabularnewline
0.54 & 4.04920450005745 & 0.431954195489506 \tabularnewline
0.55 & 4.12950326727666 & 0.435513096202241 \tabularnewline
0.56 & 4.21026988753448 & 0.440878500328206 \tabularnewline
0.57 & 4.29142725834255 & 0.445519311981711 \tabularnewline
0.58 & 4.3725186193597 & 0.44656880901149 \tabularnewline
0.59 & 4.45268890514172 & 0.441415065977996 \tabularnewline
0.6 & 4.53074740005088 & 0.428198340574345 \tabularnewline
0.61 & 4.60530078047214 & 0.406126451140182 \tabularnewline
0.62 & 4.6749317906097 & 0.375587388528941 \tabularnewline
0.63 & 4.73839133005523 & 0.33806626203948 \tabularnewline
0.64 & 4.79477199121365 & 0.295907035198208 \tabularnewline
0.65 & 4.84363834699495 & 0.251965610958949 \tabularnewline
0.66 & 4.88510098028577 & 0.209266328152887 \tabularnewline
0.67 & 4.91983369744293 & 0.170721051918991 \tabularnewline
0.68 & 4.94904288216893 & 0.139044876785713 \tabularnewline
0.69 & 4.97440189812421 & 0.116918519067494 \tabularnewline
0.7 & 4.99796112019667 & 0.107120882514209 \tabularnewline
0.71 & 5.02203710055063 & 0.111718745160657 \tabularnewline
0.72 & 5.04907606743695 & 0.130612370174478 \tabularnewline
0.73 & 5.08148197397355 & 0.161768859860152 \tabularnewline
0.74 & 5.12140180611476 & 0.202378905702759 \tabularnewline
0.75 & 5.17047282744652 & 0.249018847609551 \tabularnewline
0.76 & 5.22955626392798 & 0.297379693119504 \tabularnewline
0.77 & 5.29850381591075 & 0.342310240839715 \tabularnewline
0.78 & 5.3760183676025 & 0.378303728758844 \tabularnewline
0.79 & 5.45966904750633 & 0.400321547239811 \tabularnewline
0.8 & 5.54609779154865 & 0.404737186578802 \tabularnewline
0.81 & 5.63141166156985 & 0.390158423638823 \tabularnewline
0.82 & 5.71170318431234 & 0.357837115444777 \tabularnewline
0.83 & 5.78359721346486 & 0.311535491527888 \tabularnewline
0.84 & 5.84470487790021 & 0.256796884223253 \tabularnewline
0.85 & 5.89388313674642 & 0.199836922262334 \tabularnewline
0.86 & 5.93124918306828 & 0.146325834686561 \tabularnewline
0.87 & 5.95796591375653 & 0.100432340315197 \tabularnewline
0.88 & 5.97587434812494 & 0.0643262697564987 \tabularnewline
0.89 & 5.98708107797652 & 0.0382462907758641 \tabularnewline
0.9 & 5.99360722028873 & 0.0209799783169580 \tabularnewline
0.91 & 5.99718533038488 & 0.0105585032321537 \tabularnewline
0.92 & 5.99929828720116 & 0.00494721479428297 \tabularnewline
0.93 & 6.00167936827139 & 0.00329351445337938 \tabularnewline
0.94 & 6.00785114024887 & 0.00849492182477018 \tabularnewline
0.95 & 6.02676777383184 & 0.0276074936813807 \tabularnewline
0.96 & 6.07903280340492 & 0.0804732672521056 \tabularnewline
0.97 & 6.20095476807473 & 0.202659433259291 \tabularnewline
0.98 & 6.42900459510305 & 0.428846294818435 \tabularnewline
0.99 & 6.74252547224862 & 0.736532507717721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39053&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]-5.70977210352142[/C][C]0.804091311537177[/C][/ROW]
[ROW][C]0.02[/C][C]-5.29023907363518[/C][C]0.67899468758796[/C][/ROW]
[ROW][C]0.03[/C][C]-4.85534769731670[/C][C]0.747897542455338[/C][/ROW]
[ROW][C]0.04[/C][C]-4.4278477475803[/C][C]0.908041645598864[/C][/ROW]
[ROW][C]0.05[/C][C]-3.99978984320045[/C][C]1.03481287177367[/C][/ROW]
[ROW][C]0.06[/C][C]-3.57593332426809[/C][C]1.07510512665054[/C][/ROW]
[ROW][C]0.07[/C][C]-3.17521105659434[/C][C]1.02403937410857[/C][/ROW]
[ROW][C]0.08[/C][C]-2.81737540482015[/C][C]0.907487756955224[/C][/ROW]
[ROW][C]0.09[/C][C]-2.51297651737468[/C][C]0.767620922605533[/C][/ROW]
[ROW][C]0.1[/C][C]-2.26057340031453[/C][C]0.648107804326745[/C][/ROW]
[ROW][C]0.11[/C][C]-2.04925814173789[/C][C]0.581080919839507[/C][/ROW]
[ROW][C]0.12[/C][C]-1.86352500369545[/C][C]0.576197154491069[/C][/ROW]
[ROW][C]0.13[/C][C]-1.68802075218102[/C][C]0.619799839784359[/C][/ROW]
[ROW][C]0.14[/C][C]-1.51073294945641[/C][C]0.689437605463547[/C][/ROW]
[ROW][C]0.15[/C][C]-1.3242490134076[/C][C]0.766585232780249[/C][/ROW]
[ROW][C]0.16[/C][C]-1.12548359111182[/C][C]0.839444182784356[/C][/ROW]
[ROW][C]0.17[/C][C]-0.914577292614808[/C][C]0.901775191389808[/C][/ROW]
[ROW][C]0.18[/C][C]-0.693606846914362[/C][C]0.951189654782039[/C][/ROW]
[ROW][C]0.19[/C][C]-0.46550843348909[/C][C]0.987577175818016[/C][/ROW]
[ROW][C]0.2[/C][C]-0.233366958301275[/C][C]1.01182403997009[/C][/ROW]
[ROW][C]0.21[/C][C]-4.97699885538827e-05[/C][C]1.02499105817733[/C][/ROW]
[ROW][C]0.22[/C][C]0.231919393421537[/C][C]1.02795322896738[/C][/ROW]
[ROW][C]0.23[/C][C]0.46036205282013[/C][C]1.02138924852055[/C][/ROW]
[ROW][C]0.24[/C][C]0.683409856963466[/C][C]1.00595156722945[/C][/ROW]
[ROW][C]0.25[/C][C]0.899479441529101[/C][C]0.982467003022107[/C][/ROW]
[ROW][C]0.26[/C][C]1.10726827745142[/C][C]0.952050754027069[/C][/ROW]
[ROW][C]0.27[/C][C]1.30576032142583[/C][C]0.91608474151027[/C][/ROW]
[ROW][C]0.28[/C][C]1.4942232165469[/C][C]0.876062621827778[/C][/ROW]
[ROW][C]0.29[/C][C]1.67218390375349[/C][C]0.833358402537562[/C][/ROW]
[ROW][C]0.3[/C][C]1.83938141335538[/C][C]0.789007983060336[/C][/ROW]
[ROW][C]0.31[/C][C]1.99570818832834[/C][C]0.743603783557671[/C][/ROW]
[ROW][C]0.32[/C][C]2.14115923699832[/C][C]0.697352244270304[/C][/ROW]
[ROW][C]0.33[/C][C]2.27580856396304[/C][C]0.650314116094225[/C][/ROW]
[ROW][C]0.34[/C][C]2.39982447532962[/C][C]0.602711620076783[/C][/ROW]
[ROW][C]0.35[/C][C]2.5135221587829[/C][C]0.555244830522845[/C][/ROW]
[ROW][C]0.36[/C][C]2.61743792857771[/C][C]0.509272040032848[/C][/ROW]
[ROW][C]0.37[/C][C]2.71239949695175[/C][C]0.466803168799639[/C][/ROW]
[ROW][C]0.38[/C][C]2.79956403994317[/C][C]0.430298487404162[/C][/ROW]
[ROW][C]0.39[/C][C]2.8804017157986[/C][C]0.402266599361041[/C][/ROW]
[ROW][C]0.4[/C][C]2.95661511373431[/C][C]0.384655029419091[/C][/ROW]
[ROW][C]0.41[/C][C]3.0300013309211[/C][C]0.378185120201871[/C][/ROW]
[ROW][C]0.42[/C][C]3.10227863474032[/C][C]0.381926986994584[/C][/ROW]
[ROW][C]0.43[/C][C]3.17491000680026[/C][C]0.393408328125154[/C][/ROW]
[ROW][C]0.44[/C][C]3.24895870175214[/C][C]0.40922706094902[/C][/ROW]
[ROW][C]0.45[/C][C]3.32500559606501[/C][C]0.425810759894723[/C][/ROW]
[ROW][C]0.46[/C][C]3.40314577948204[/C][C]0.440064122275946[/C][/ROW]
[ROW][C]0.47[/C][C]3.48306533143316[/C][C]0.4498148978797[/C][/ROW]
[ROW][C]0.48[/C][C]3.56418219844942[/C][C]0.454062294251750[/C][/ROW]
[ROW][C]0.49[/C][C]3.64582132352628[/C][C]0.453049272971587[/C][/ROW]
[ROW][C]0.5[/C][C]3.7273867601039[/C][C]0.448125489664339[/C][/ROW]
[ROW][C]0.51[/C][C]3.80849416204538[/C][C]0.441413831289602[/C][/ROW]
[ROW][C]0.52[/C][C]3.88903574955316[/C][C]0.435296294753498[/C][/ROW]
[ROW][C]0.53[/C][C]3.96916478582205[/C][C]0.431790807620953[/C][/ROW]
[ROW][C]0.54[/C][C]4.04920450005745[/C][C]0.431954195489506[/C][/ROW]
[ROW][C]0.55[/C][C]4.12950326727666[/C][C]0.435513096202241[/C][/ROW]
[ROW][C]0.56[/C][C]4.21026988753448[/C][C]0.440878500328206[/C][/ROW]
[ROW][C]0.57[/C][C]4.29142725834255[/C][C]0.445519311981711[/C][/ROW]
[ROW][C]0.58[/C][C]4.3725186193597[/C][C]0.44656880901149[/C][/ROW]
[ROW][C]0.59[/C][C]4.45268890514172[/C][C]0.441415065977996[/C][/ROW]
[ROW][C]0.6[/C][C]4.53074740005088[/C][C]0.428198340574345[/C][/ROW]
[ROW][C]0.61[/C][C]4.60530078047214[/C][C]0.406126451140182[/C][/ROW]
[ROW][C]0.62[/C][C]4.6749317906097[/C][C]0.375587388528941[/C][/ROW]
[ROW][C]0.63[/C][C]4.73839133005523[/C][C]0.33806626203948[/C][/ROW]
[ROW][C]0.64[/C][C]4.79477199121365[/C][C]0.295907035198208[/C][/ROW]
[ROW][C]0.65[/C][C]4.84363834699495[/C][C]0.251965610958949[/C][/ROW]
[ROW][C]0.66[/C][C]4.88510098028577[/C][C]0.209266328152887[/C][/ROW]
[ROW][C]0.67[/C][C]4.91983369744293[/C][C]0.170721051918991[/C][/ROW]
[ROW][C]0.68[/C][C]4.94904288216893[/C][C]0.139044876785713[/C][/ROW]
[ROW][C]0.69[/C][C]4.97440189812421[/C][C]0.116918519067494[/C][/ROW]
[ROW][C]0.7[/C][C]4.99796112019667[/C][C]0.107120882514209[/C][/ROW]
[ROW][C]0.71[/C][C]5.02203710055063[/C][C]0.111718745160657[/C][/ROW]
[ROW][C]0.72[/C][C]5.04907606743695[/C][C]0.130612370174478[/C][/ROW]
[ROW][C]0.73[/C][C]5.08148197397355[/C][C]0.161768859860152[/C][/ROW]
[ROW][C]0.74[/C][C]5.12140180611476[/C][C]0.202378905702759[/C][/ROW]
[ROW][C]0.75[/C][C]5.17047282744652[/C][C]0.249018847609551[/C][/ROW]
[ROW][C]0.76[/C][C]5.22955626392798[/C][C]0.297379693119504[/C][/ROW]
[ROW][C]0.77[/C][C]5.29850381591075[/C][C]0.342310240839715[/C][/ROW]
[ROW][C]0.78[/C][C]5.3760183676025[/C][C]0.378303728758844[/C][/ROW]
[ROW][C]0.79[/C][C]5.45966904750633[/C][C]0.400321547239811[/C][/ROW]
[ROW][C]0.8[/C][C]5.54609779154865[/C][C]0.404737186578802[/C][/ROW]
[ROW][C]0.81[/C][C]5.63141166156985[/C][C]0.390158423638823[/C][/ROW]
[ROW][C]0.82[/C][C]5.71170318431234[/C][C]0.357837115444777[/C][/ROW]
[ROW][C]0.83[/C][C]5.78359721346486[/C][C]0.311535491527888[/C][/ROW]
[ROW][C]0.84[/C][C]5.84470487790021[/C][C]0.256796884223253[/C][/ROW]
[ROW][C]0.85[/C][C]5.89388313674642[/C][C]0.199836922262334[/C][/ROW]
[ROW][C]0.86[/C][C]5.93124918306828[/C][C]0.146325834686561[/C][/ROW]
[ROW][C]0.87[/C][C]5.95796591375653[/C][C]0.100432340315197[/C][/ROW]
[ROW][C]0.88[/C][C]5.97587434812494[/C][C]0.0643262697564987[/C][/ROW]
[ROW][C]0.89[/C][C]5.98708107797652[/C][C]0.0382462907758641[/C][/ROW]
[ROW][C]0.9[/C][C]5.99360722028873[/C][C]0.0209799783169580[/C][/ROW]
[ROW][C]0.91[/C][C]5.99718533038488[/C][C]0.0105585032321537[/C][/ROW]
[ROW][C]0.92[/C][C]5.99929828720116[/C][C]0.00494721479428297[/C][/ROW]
[ROW][C]0.93[/C][C]6.00167936827139[/C][C]0.00329351445337938[/C][/ROW]
[ROW][C]0.94[/C][C]6.00785114024887[/C][C]0.00849492182477018[/C][/ROW]
[ROW][C]0.95[/C][C]6.02676777383184[/C][C]0.0276074936813807[/C][/ROW]
[ROW][C]0.96[/C][C]6.07903280340492[/C][C]0.0804732672521056[/C][/ROW]
[ROW][C]0.97[/C][C]6.20095476807473[/C][C]0.202659433259291[/C][/ROW]
[ROW][C]0.98[/C][C]6.42900459510305[/C][C]0.428846294818435[/C][/ROW]
[ROW][C]0.99[/C][C]6.74252547224862[/C][C]0.736532507717721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39053&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
0.01-5.709772103521420.804091311537177
0.02-5.290239073635180.67899468758796
0.03-4.855347697316700.747897542455338
0.04-4.42784774758030.908041645598864
0.05-3.999789843200451.03481287177367
0.06-3.575933324268091.07510512665054
0.07-3.175211056594341.02403937410857
0.08-2.817375404820150.907487756955224
0.09-2.512976517374680.767620922605533
0.1-2.260573400314530.648107804326745
0.11-2.049258141737890.581080919839507
0.12-1.863525003695450.576197154491069
0.13-1.688020752181020.619799839784359
0.14-1.510732949456410.689437605463547
0.15-1.32424901340760.766585232780249
0.16-1.125483591111820.839444182784356
0.17-0.9145772926148080.901775191389808
0.18-0.6936068469143620.951189654782039
0.19-0.465508433489090.987577175818016
0.2-0.2333669583012751.01182403997009
0.21-4.97699885538827e-051.02499105817733
0.220.2319193934215371.02795322896738
0.230.460362052820131.02138924852055
0.240.6834098569634661.00595156722945
0.250.8994794415291010.982467003022107
0.261.107268277451420.952050754027069
0.271.305760321425830.91608474151027
0.281.49422321654690.876062621827778
0.291.672183903753490.833358402537562
0.31.839381413355380.789007983060336
0.311.995708188328340.743603783557671
0.322.141159236998320.697352244270304
0.332.275808563963040.650314116094225
0.342.399824475329620.602711620076783
0.352.51352215878290.555244830522845
0.362.617437928577710.509272040032848
0.372.712399496951750.466803168799639
0.382.799564039943170.430298487404162
0.392.88040171579860.402266599361041
0.42.956615113734310.384655029419091
0.413.03000133092110.378185120201871
0.423.102278634740320.381926986994584
0.433.174910006800260.393408328125154
0.443.248958701752140.40922706094902
0.453.325005596065010.425810759894723
0.463.403145779482040.440064122275946
0.473.483065331433160.4498148978797
0.483.564182198449420.454062294251750
0.493.645821323526280.453049272971587
0.53.72738676010390.448125489664339
0.513.808494162045380.441413831289602
0.523.889035749553160.435296294753498
0.533.969164785822050.431790807620953
0.544.049204500057450.431954195489506
0.554.129503267276660.435513096202241
0.564.210269887534480.440878500328206
0.574.291427258342550.445519311981711
0.584.37251861935970.44656880901149
0.594.452688905141720.441415065977996
0.64.530747400050880.428198340574345
0.614.605300780472140.406126451140182
0.624.67493179060970.375587388528941
0.634.738391330055230.33806626203948
0.644.794771991213650.295907035198208
0.654.843638346994950.251965610958949
0.664.885100980285770.209266328152887
0.674.919833697442930.170721051918991
0.684.949042882168930.139044876785713
0.694.974401898124210.116918519067494
0.74.997961120196670.107120882514209
0.715.022037100550630.111718745160657
0.725.049076067436950.130612370174478
0.735.081481973973550.161768859860152
0.745.121401806114760.202378905702759
0.755.170472827446520.249018847609551
0.765.229556263927980.297379693119504
0.775.298503815910750.342310240839715
0.785.37601836760250.378303728758844
0.795.459669047506330.400321547239811
0.85.546097791548650.404737186578802
0.815.631411661569850.390158423638823
0.825.711703184312340.357837115444777
0.835.783597213464860.311535491527888
0.845.844704877900210.256796884223253
0.855.893883136746420.199836922262334
0.865.931249183068280.146325834686561
0.875.957965913756530.100432340315197
0.885.975874348124940.0643262697564987
0.895.987081077976520.0382462907758641
0.95.993607220288730.0209799783169580
0.915.997185330384880.0105585032321537
0.925.999298287201160.00494721479428297
0.936.001679368271390.00329351445337938
0.946.007851140248870.00849492182477018
0.956.026767773831840.0276074936813807
0.966.079032803404920.0804732672521056
0.976.200954768074730.202659433259291
0.986.429004595103050.428846294818435
0.996.742525472248620.736532507717721



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')