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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 computationSun, 10 Jan 2010 08:27:27 -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/Jan/10/t1263137314dsdsb6lvyhn20dy.htm/, Retrieved Sun, 05 May 2024 06:39:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71809, Retrieved Sun, 05 May 2024 06:39:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact150

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] [H-D Percentielen ...] [2010-01-10 15:27:27] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2766
3851
3289
3848
3348
3682
4058
3655
3811
3341
3032
3475
3353
3186
3902
4164
3499
4145
3796
3711
3949
3740
3243
4407
4814
3908
5250
3937
4004
5560
3922
3759
4138
4634
3996
4308
4143
4429
5219
4929
5761
5592
4163
4962
5208
4755
4491
5732
5731
5040
6102
4904
5369
5578
4619
4731
5011
5299
4146
4625
4736
4219
5116
4205
4121
5103
4300
4578
3809
5526
4248
3830
4430
4837
4408
4569
4104
4807
3944
3794
4390
4041
4104
4823

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71809&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71809&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012864.29665035935222.483092015535
0.022997.48406024369173.3751005304
0.033110.94221507247134.087724820924
0.043193.17737600660107.311484619152
0.053252.5756105711193.5122570016176
0.063299.3338707154791.7047620035166
0.073340.7402068625399.3689895943597
0.083381.24644979772112.720948789097
0.093423.09647104683127.260255088010
0.13466.8021748789138.845893671204
0.113511.61215407502144.679627302303
0.123556.05886884716143.767495131294
0.133598.51397849837136.766564630223
0.143637.62754786344125.447691191112
0.153672.57124534528111.957382939071
0.163703.0846048180298.2786692284892
0.173729.3819227390285.8663004457658
0.183751.9953378103675.5934868616046
0.193771.6155717189067.8121628696865
0.23788.9647618039362.5136197207444
0.213804.7115201311559.4375257943907
0.223819.4238839840158.1834712543357
0.233833.5508088846958.2829159888424
0.243847.4233579255659.2773627057646
0.253861.2687884803660.79729320944
0.263875.2321345795562.5898184161324
0.273889.4003223416764.5196158357946
0.283903.8240774013066.5340585824753
0.293918.5337099686268.6378979250823
0.33933.5466059940870.8312905785434
0.313948.8666058256273.035400728506
0.323964.4777330593175.1276883420146
0.333980.3362494146176.9175367465334
0.343996.3653358616878.1931353278338
0.354012.4558163844678.765005547687
0.364028.4745855683678.5132110673468
0.374044.2803117862277.4275105569808
0.384059.7441141789475.6257606803127
0.394074.771666973.3402697131431
0.44089.3227683133570.924602326281
0.414103.4248134234368.7780517036305
0.424117.1776529626667.3353504415055
0.434130.7487557068666.9871700302623
0.444144.3591384238167.9983401882334
0.454158.2619465656870.5101476631548
0.464172.7166663361474.4247631518564
0.474187.9625900078979.5277431213094
0.484204.1952618066185.4794763244922
0.494221.5491783180891.8497032450992
0.54240.0890462369198.2372247975944
0.514259.8105278675104.283731213257
0.524280.64982975380109.696856050534
0.534302.49998231803114.320487609163
0.544325.23052183025118.100380602980
0.554348.70678987866121.11038864630
0.564372.80536282641123.469482658281
0.574397.42318163321125.360914799601
0.584422.47952936565126.893650199493
0.594447.91169752554128.163332795115
0.64473.66654608824129.190188631901
0.614499.69085236331129.908750548539
0.624525.92324159221130.252715478734
0.634552.28974074385130.114442346096
0.644578.70393073685129.437419438010
0.654605.07166463958128.197213551718
0.664631.29961885353126.411228402779
0.674657.30658211952124.162241370297
0.684683.03620587132121.590730558847
0.694708.46972910857118.889165333403
0.74733.63685799981116.305087062984
0.714758.6226478536114.122713383924
0.724783.56820468741112.631975323093
0.734808.6636066509112.058019880396
0.744834.13275067674112.527865929279
0.754860.21163649045114.028492478669
0.764887.12341282867116.390194049149
0.774915.05478631442119.339891142718
0.784944.1388158954122.536734110856
0.794974.44872048228125.626512591676
0.85006.00632593849128.364098498574
0.815038.80711751055130.584128314826
0.825072.8608304166132.331467942597
0.835108.24089141027133.858690687662
0.845145.12728934917135.627795702244
0.855183.81784879952138.194527053329
0.865224.6791871796141.932002540849
0.875268.02113769955146.615445546751
0.885313.91450428718151.145102088585
0.895362.02453887727153.640946492117
0.95411.56977919789152.118277315420
0.915461.4883438959145.554876581986
0.925510.77485521338134.726667903845
0.935558.81032989145122.039536612454
0.945605.56447693554109.867201366996
0.955652.0764409029398.6484832006971
0.965702.4230051942489.305656515473
0.975767.5550251726994.8128237313
0.985864.63603836148145.735951937992
0.995994.74922470223245.959580567621

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2864.29665035935 & 222.483092015535 \tabularnewline
0.02 & 2997.48406024369 & 173.3751005304 \tabularnewline
0.03 & 3110.94221507247 & 134.087724820924 \tabularnewline
0.04 & 3193.17737600660 & 107.311484619152 \tabularnewline
0.05 & 3252.57561057111 & 93.5122570016176 \tabularnewline
0.06 & 3299.33387071547 & 91.7047620035166 \tabularnewline
0.07 & 3340.74020686253 & 99.3689895943597 \tabularnewline
0.08 & 3381.24644979772 & 112.720948789097 \tabularnewline
0.09 & 3423.09647104683 & 127.260255088010 \tabularnewline
0.1 & 3466.8021748789 & 138.845893671204 \tabularnewline
0.11 & 3511.61215407502 & 144.679627302303 \tabularnewline
0.12 & 3556.05886884716 & 143.767495131294 \tabularnewline
0.13 & 3598.51397849837 & 136.766564630223 \tabularnewline
0.14 & 3637.62754786344 & 125.447691191112 \tabularnewline
0.15 & 3672.57124534528 & 111.957382939071 \tabularnewline
0.16 & 3703.08460481802 & 98.2786692284892 \tabularnewline
0.17 & 3729.38192273902 & 85.8663004457658 \tabularnewline
0.18 & 3751.99533781036 & 75.5934868616046 \tabularnewline
0.19 & 3771.61557171890 & 67.8121628696865 \tabularnewline
0.2 & 3788.96476180393 & 62.5136197207444 \tabularnewline
0.21 & 3804.71152013115 & 59.4375257943907 \tabularnewline
0.22 & 3819.42388398401 & 58.1834712543357 \tabularnewline
0.23 & 3833.55080888469 & 58.2829159888424 \tabularnewline
0.24 & 3847.42335792556 & 59.2773627057646 \tabularnewline
0.25 & 3861.26878848036 & 60.79729320944 \tabularnewline
0.26 & 3875.23213457955 & 62.5898184161324 \tabularnewline
0.27 & 3889.40032234167 & 64.5196158357946 \tabularnewline
0.28 & 3903.82407740130 & 66.5340585824753 \tabularnewline
0.29 & 3918.53370996862 & 68.6378979250823 \tabularnewline
0.3 & 3933.54660599408 & 70.8312905785434 \tabularnewline
0.31 & 3948.86660582562 & 73.035400728506 \tabularnewline
0.32 & 3964.47773305931 & 75.1276883420146 \tabularnewline
0.33 & 3980.33624941461 & 76.9175367465334 \tabularnewline
0.34 & 3996.36533586168 & 78.1931353278338 \tabularnewline
0.35 & 4012.45581638446 & 78.765005547687 \tabularnewline
0.36 & 4028.47458556836 & 78.5132110673468 \tabularnewline
0.37 & 4044.28031178622 & 77.4275105569808 \tabularnewline
0.38 & 4059.74411417894 & 75.6257606803127 \tabularnewline
0.39 & 4074.7716669 & 73.3402697131431 \tabularnewline
0.4 & 4089.32276831335 & 70.924602326281 \tabularnewline
0.41 & 4103.42481342343 & 68.7780517036305 \tabularnewline
0.42 & 4117.17765296266 & 67.3353504415055 \tabularnewline
0.43 & 4130.74875570686 & 66.9871700302623 \tabularnewline
0.44 & 4144.35913842381 & 67.9983401882334 \tabularnewline
0.45 & 4158.26194656568 & 70.5101476631548 \tabularnewline
0.46 & 4172.71666633614 & 74.4247631518564 \tabularnewline
0.47 & 4187.96259000789 & 79.5277431213094 \tabularnewline
0.48 & 4204.19526180661 & 85.4794763244922 \tabularnewline
0.49 & 4221.54917831808 & 91.8497032450992 \tabularnewline
0.5 & 4240.08904623691 & 98.2372247975944 \tabularnewline
0.51 & 4259.8105278675 & 104.283731213257 \tabularnewline
0.52 & 4280.64982975380 & 109.696856050534 \tabularnewline
0.53 & 4302.49998231803 & 114.320487609163 \tabularnewline
0.54 & 4325.23052183025 & 118.100380602980 \tabularnewline
0.55 & 4348.70678987866 & 121.11038864630 \tabularnewline
0.56 & 4372.80536282641 & 123.469482658281 \tabularnewline
0.57 & 4397.42318163321 & 125.360914799601 \tabularnewline
0.58 & 4422.47952936565 & 126.893650199493 \tabularnewline
0.59 & 4447.91169752554 & 128.163332795115 \tabularnewline
0.6 & 4473.66654608824 & 129.190188631901 \tabularnewline
0.61 & 4499.69085236331 & 129.908750548539 \tabularnewline
0.62 & 4525.92324159221 & 130.252715478734 \tabularnewline
0.63 & 4552.28974074385 & 130.114442346096 \tabularnewline
0.64 & 4578.70393073685 & 129.437419438010 \tabularnewline
0.65 & 4605.07166463958 & 128.197213551718 \tabularnewline
0.66 & 4631.29961885353 & 126.411228402779 \tabularnewline
0.67 & 4657.30658211952 & 124.162241370297 \tabularnewline
0.68 & 4683.03620587132 & 121.590730558847 \tabularnewline
0.69 & 4708.46972910857 & 118.889165333403 \tabularnewline
0.7 & 4733.63685799981 & 116.305087062984 \tabularnewline
0.71 & 4758.6226478536 & 114.122713383924 \tabularnewline
0.72 & 4783.56820468741 & 112.631975323093 \tabularnewline
0.73 & 4808.6636066509 & 112.058019880396 \tabularnewline
0.74 & 4834.13275067674 & 112.527865929279 \tabularnewline
0.75 & 4860.21163649045 & 114.028492478669 \tabularnewline
0.76 & 4887.12341282867 & 116.390194049149 \tabularnewline
0.77 & 4915.05478631442 & 119.339891142718 \tabularnewline
0.78 & 4944.1388158954 & 122.536734110856 \tabularnewline
0.79 & 4974.44872048228 & 125.626512591676 \tabularnewline
0.8 & 5006.00632593849 & 128.364098498574 \tabularnewline
0.81 & 5038.80711751055 & 130.584128314826 \tabularnewline
0.82 & 5072.8608304166 & 132.331467942597 \tabularnewline
0.83 & 5108.24089141027 & 133.858690687662 \tabularnewline
0.84 & 5145.12728934917 & 135.627795702244 \tabularnewline
0.85 & 5183.81784879952 & 138.194527053329 \tabularnewline
0.86 & 5224.6791871796 & 141.932002540849 \tabularnewline
0.87 & 5268.02113769955 & 146.615445546751 \tabularnewline
0.88 & 5313.91450428718 & 151.145102088585 \tabularnewline
0.89 & 5362.02453887727 & 153.640946492117 \tabularnewline
0.9 & 5411.56977919789 & 152.118277315420 \tabularnewline
0.91 & 5461.4883438959 & 145.554876581986 \tabularnewline
0.92 & 5510.77485521338 & 134.726667903845 \tabularnewline
0.93 & 5558.81032989145 & 122.039536612454 \tabularnewline
0.94 & 5605.56447693554 & 109.867201366996 \tabularnewline
0.95 & 5652.07644090293 & 98.6484832006971 \tabularnewline
0.96 & 5702.42300519424 & 89.305656515473 \tabularnewline
0.97 & 5767.55502517269 & 94.8128237313 \tabularnewline
0.98 & 5864.63603836148 & 145.735951937992 \tabularnewline
0.99 & 5994.74922470223 & 245.959580567621 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71809&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]2864.29665035935[/C][C]222.483092015535[/C][/ROW]
[ROW][C]0.02[/C][C]2997.48406024369[/C][C]173.3751005304[/C][/ROW]
[ROW][C]0.03[/C][C]3110.94221507247[/C][C]134.087724820924[/C][/ROW]
[ROW][C]0.04[/C][C]3193.17737600660[/C][C]107.311484619152[/C][/ROW]
[ROW][C]0.05[/C][C]3252.57561057111[/C][C]93.5122570016176[/C][/ROW]
[ROW][C]0.06[/C][C]3299.33387071547[/C][C]91.7047620035166[/C][/ROW]
[ROW][C]0.07[/C][C]3340.74020686253[/C][C]99.3689895943597[/C][/ROW]
[ROW][C]0.08[/C][C]3381.24644979772[/C][C]112.720948789097[/C][/ROW]
[ROW][C]0.09[/C][C]3423.09647104683[/C][C]127.260255088010[/C][/ROW]
[ROW][C]0.1[/C][C]3466.8021748789[/C][C]138.845893671204[/C][/ROW]
[ROW][C]0.11[/C][C]3511.61215407502[/C][C]144.679627302303[/C][/ROW]
[ROW][C]0.12[/C][C]3556.05886884716[/C][C]143.767495131294[/C][/ROW]
[ROW][C]0.13[/C][C]3598.51397849837[/C][C]136.766564630223[/C][/ROW]
[ROW][C]0.14[/C][C]3637.62754786344[/C][C]125.447691191112[/C][/ROW]
[ROW][C]0.15[/C][C]3672.57124534528[/C][C]111.957382939071[/C][/ROW]
[ROW][C]0.16[/C][C]3703.08460481802[/C][C]98.2786692284892[/C][/ROW]
[ROW][C]0.17[/C][C]3729.38192273902[/C][C]85.8663004457658[/C][/ROW]
[ROW][C]0.18[/C][C]3751.99533781036[/C][C]75.5934868616046[/C][/ROW]
[ROW][C]0.19[/C][C]3771.61557171890[/C][C]67.8121628696865[/C][/ROW]
[ROW][C]0.2[/C][C]3788.96476180393[/C][C]62.5136197207444[/C][/ROW]
[ROW][C]0.21[/C][C]3804.71152013115[/C][C]59.4375257943907[/C][/ROW]
[ROW][C]0.22[/C][C]3819.42388398401[/C][C]58.1834712543357[/C][/ROW]
[ROW][C]0.23[/C][C]3833.55080888469[/C][C]58.2829159888424[/C][/ROW]
[ROW][C]0.24[/C][C]3847.42335792556[/C][C]59.2773627057646[/C][/ROW]
[ROW][C]0.25[/C][C]3861.26878848036[/C][C]60.79729320944[/C][/ROW]
[ROW][C]0.26[/C][C]3875.23213457955[/C][C]62.5898184161324[/C][/ROW]
[ROW][C]0.27[/C][C]3889.40032234167[/C][C]64.5196158357946[/C][/ROW]
[ROW][C]0.28[/C][C]3903.82407740130[/C][C]66.5340585824753[/C][/ROW]
[ROW][C]0.29[/C][C]3918.53370996862[/C][C]68.6378979250823[/C][/ROW]
[ROW][C]0.3[/C][C]3933.54660599408[/C][C]70.8312905785434[/C][/ROW]
[ROW][C]0.31[/C][C]3948.86660582562[/C][C]73.035400728506[/C][/ROW]
[ROW][C]0.32[/C][C]3964.47773305931[/C][C]75.1276883420146[/C][/ROW]
[ROW][C]0.33[/C][C]3980.33624941461[/C][C]76.9175367465334[/C][/ROW]
[ROW][C]0.34[/C][C]3996.36533586168[/C][C]78.1931353278338[/C][/ROW]
[ROW][C]0.35[/C][C]4012.45581638446[/C][C]78.765005547687[/C][/ROW]
[ROW][C]0.36[/C][C]4028.47458556836[/C][C]78.5132110673468[/C][/ROW]
[ROW][C]0.37[/C][C]4044.28031178622[/C][C]77.4275105569808[/C][/ROW]
[ROW][C]0.38[/C][C]4059.74411417894[/C][C]75.6257606803127[/C][/ROW]
[ROW][C]0.39[/C][C]4074.7716669[/C][C]73.3402697131431[/C][/ROW]
[ROW][C]0.4[/C][C]4089.32276831335[/C][C]70.924602326281[/C][/ROW]
[ROW][C]0.41[/C][C]4103.42481342343[/C][C]68.7780517036305[/C][/ROW]
[ROW][C]0.42[/C][C]4117.17765296266[/C][C]67.3353504415055[/C][/ROW]
[ROW][C]0.43[/C][C]4130.74875570686[/C][C]66.9871700302623[/C][/ROW]
[ROW][C]0.44[/C][C]4144.35913842381[/C][C]67.9983401882334[/C][/ROW]
[ROW][C]0.45[/C][C]4158.26194656568[/C][C]70.5101476631548[/C][/ROW]
[ROW][C]0.46[/C][C]4172.71666633614[/C][C]74.4247631518564[/C][/ROW]
[ROW][C]0.47[/C][C]4187.96259000789[/C][C]79.5277431213094[/C][/ROW]
[ROW][C]0.48[/C][C]4204.19526180661[/C][C]85.4794763244922[/C][/ROW]
[ROW][C]0.49[/C][C]4221.54917831808[/C][C]91.8497032450992[/C][/ROW]
[ROW][C]0.5[/C][C]4240.08904623691[/C][C]98.2372247975944[/C][/ROW]
[ROW][C]0.51[/C][C]4259.8105278675[/C][C]104.283731213257[/C][/ROW]
[ROW][C]0.52[/C][C]4280.64982975380[/C][C]109.696856050534[/C][/ROW]
[ROW][C]0.53[/C][C]4302.49998231803[/C][C]114.320487609163[/C][/ROW]
[ROW][C]0.54[/C][C]4325.23052183025[/C][C]118.100380602980[/C][/ROW]
[ROW][C]0.55[/C][C]4348.70678987866[/C][C]121.11038864630[/C][/ROW]
[ROW][C]0.56[/C][C]4372.80536282641[/C][C]123.469482658281[/C][/ROW]
[ROW][C]0.57[/C][C]4397.42318163321[/C][C]125.360914799601[/C][/ROW]
[ROW][C]0.58[/C][C]4422.47952936565[/C][C]126.893650199493[/C][/ROW]
[ROW][C]0.59[/C][C]4447.91169752554[/C][C]128.163332795115[/C][/ROW]
[ROW][C]0.6[/C][C]4473.66654608824[/C][C]129.190188631901[/C][/ROW]
[ROW][C]0.61[/C][C]4499.69085236331[/C][C]129.908750548539[/C][/ROW]
[ROW][C]0.62[/C][C]4525.92324159221[/C][C]130.252715478734[/C][/ROW]
[ROW][C]0.63[/C][C]4552.28974074385[/C][C]130.114442346096[/C][/ROW]
[ROW][C]0.64[/C][C]4578.70393073685[/C][C]129.437419438010[/C][/ROW]
[ROW][C]0.65[/C][C]4605.07166463958[/C][C]128.197213551718[/C][/ROW]
[ROW][C]0.66[/C][C]4631.29961885353[/C][C]126.411228402779[/C][/ROW]
[ROW][C]0.67[/C][C]4657.30658211952[/C][C]124.162241370297[/C][/ROW]
[ROW][C]0.68[/C][C]4683.03620587132[/C][C]121.590730558847[/C][/ROW]
[ROW][C]0.69[/C][C]4708.46972910857[/C][C]118.889165333403[/C][/ROW]
[ROW][C]0.7[/C][C]4733.63685799981[/C][C]116.305087062984[/C][/ROW]
[ROW][C]0.71[/C][C]4758.6226478536[/C][C]114.122713383924[/C][/ROW]
[ROW][C]0.72[/C][C]4783.56820468741[/C][C]112.631975323093[/C][/ROW]
[ROW][C]0.73[/C][C]4808.6636066509[/C][C]112.058019880396[/C][/ROW]
[ROW][C]0.74[/C][C]4834.13275067674[/C][C]112.527865929279[/C][/ROW]
[ROW][C]0.75[/C][C]4860.21163649045[/C][C]114.028492478669[/C][/ROW]
[ROW][C]0.76[/C][C]4887.12341282867[/C][C]116.390194049149[/C][/ROW]
[ROW][C]0.77[/C][C]4915.05478631442[/C][C]119.339891142718[/C][/ROW]
[ROW][C]0.78[/C][C]4944.1388158954[/C][C]122.536734110856[/C][/ROW]
[ROW][C]0.79[/C][C]4974.44872048228[/C][C]125.626512591676[/C][/ROW]
[ROW][C]0.8[/C][C]5006.00632593849[/C][C]128.364098498574[/C][/ROW]
[ROW][C]0.81[/C][C]5038.80711751055[/C][C]130.584128314826[/C][/ROW]
[ROW][C]0.82[/C][C]5072.8608304166[/C][C]132.331467942597[/C][/ROW]
[ROW][C]0.83[/C][C]5108.24089141027[/C][C]133.858690687662[/C][/ROW]
[ROW][C]0.84[/C][C]5145.12728934917[/C][C]135.627795702244[/C][/ROW]
[ROW][C]0.85[/C][C]5183.81784879952[/C][C]138.194527053329[/C][/ROW]
[ROW][C]0.86[/C][C]5224.6791871796[/C][C]141.932002540849[/C][/ROW]
[ROW][C]0.87[/C][C]5268.02113769955[/C][C]146.615445546751[/C][/ROW]
[ROW][C]0.88[/C][C]5313.91450428718[/C][C]151.145102088585[/C][/ROW]
[ROW][C]0.89[/C][C]5362.02453887727[/C][C]153.640946492117[/C][/ROW]
[ROW][C]0.9[/C][C]5411.56977919789[/C][C]152.118277315420[/C][/ROW]
[ROW][C]0.91[/C][C]5461.4883438959[/C][C]145.554876581986[/C][/ROW]
[ROW][C]0.92[/C][C]5510.77485521338[/C][C]134.726667903845[/C][/ROW]
[ROW][C]0.93[/C][C]5558.81032989145[/C][C]122.039536612454[/C][/ROW]
[ROW][C]0.94[/C][C]5605.56447693554[/C][C]109.867201366996[/C][/ROW]
[ROW][C]0.95[/C][C]5652.07644090293[/C][C]98.6484832006971[/C][/ROW]
[ROW][C]0.96[/C][C]5702.42300519424[/C][C]89.305656515473[/C][/ROW]
[ROW][C]0.97[/C][C]5767.55502517269[/C][C]94.8128237313[/C][/ROW]
[ROW][C]0.98[/C][C]5864.63603836148[/C][C]145.735951937992[/C][/ROW]
[ROW][C]0.99[/C][C]5994.74922470223[/C][C]245.959580567621[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71809&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
0.012864.29665035935222.483092015535
0.022997.48406024369173.3751005304
0.033110.94221507247134.087724820924
0.043193.17737600660107.311484619152
0.053252.5756105711193.5122570016176
0.063299.3338707154791.7047620035166
0.073340.7402068625399.3689895943597
0.083381.24644979772112.720948789097
0.093423.09647104683127.260255088010
0.13466.8021748789138.845893671204
0.113511.61215407502144.679627302303
0.123556.05886884716143.767495131294
0.133598.51397849837136.766564630223
0.143637.62754786344125.447691191112
0.153672.57124534528111.957382939071
0.163703.0846048180298.2786692284892
0.173729.3819227390285.8663004457658
0.183751.9953378103675.5934868616046
0.193771.6155717189067.8121628696865
0.23788.9647618039362.5136197207444
0.213804.7115201311559.4375257943907
0.223819.4238839840158.1834712543357
0.233833.5508088846958.2829159888424
0.243847.4233579255659.2773627057646
0.253861.2687884803660.79729320944
0.263875.2321345795562.5898184161324
0.273889.4003223416764.5196158357946
0.283903.8240774013066.5340585824753
0.293918.5337099686268.6378979250823
0.33933.5466059940870.8312905785434
0.313948.8666058256273.035400728506
0.323964.4777330593175.1276883420146
0.333980.3362494146176.9175367465334
0.343996.3653358616878.1931353278338
0.354012.4558163844678.765005547687
0.364028.4745855683678.5132110673468
0.374044.2803117862277.4275105569808
0.384059.7441141789475.6257606803127
0.394074.771666973.3402697131431
0.44089.3227683133570.924602326281
0.414103.4248134234368.7780517036305
0.424117.1776529626667.3353504415055
0.434130.7487557068666.9871700302623
0.444144.3591384238167.9983401882334
0.454158.2619465656870.5101476631548
0.464172.7166663361474.4247631518564
0.474187.9625900078979.5277431213094
0.484204.1952618066185.4794763244922
0.494221.5491783180891.8497032450992
0.54240.0890462369198.2372247975944
0.514259.8105278675104.283731213257
0.524280.64982975380109.696856050534
0.534302.49998231803114.320487609163
0.544325.23052183025118.100380602980
0.554348.70678987866121.11038864630
0.564372.80536282641123.469482658281
0.574397.42318163321125.360914799601
0.584422.47952936565126.893650199493
0.594447.91169752554128.163332795115
0.64473.66654608824129.190188631901
0.614499.69085236331129.908750548539
0.624525.92324159221130.252715478734
0.634552.28974074385130.114442346096
0.644578.70393073685129.437419438010
0.654605.07166463958128.197213551718
0.664631.29961885353126.411228402779
0.674657.30658211952124.162241370297
0.684683.03620587132121.590730558847
0.694708.46972910857118.889165333403
0.74733.63685799981116.305087062984
0.714758.6226478536114.122713383924
0.724783.56820468741112.631975323093
0.734808.6636066509112.058019880396
0.744834.13275067674112.527865929279
0.754860.21163649045114.028492478669
0.764887.12341282867116.390194049149
0.774915.05478631442119.339891142718
0.784944.1388158954122.536734110856
0.794974.44872048228125.626512591676
0.85006.00632593849128.364098498574
0.815038.80711751055130.584128314826
0.825072.8608304166132.331467942597
0.835108.24089141027133.858690687662
0.845145.12728934917135.627795702244
0.855183.81784879952138.194527053329
0.865224.6791871796141.932002540849
0.875268.02113769955146.615445546751
0.885313.91450428718151.145102088585
0.895362.02453887727153.640946492117
0.95411.56977919789152.118277315420
0.915461.4883438959145.554876581986
0.925510.77485521338134.726667903845
0.935558.81032989145122.039536612454
0.945605.56447693554109.867201366996
0.955652.0764409029398.6484832006971
0.965702.4230051942489.305656515473
0.975767.5550251726994.8128237313
0.985864.63603836148145.735951937992
0.995994.74922470223245.959580567621


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')