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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 computationWed, 01 Oct 2014 16:19:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/01/t1412176817izmf1pni9msazyt.htm/, Retrieved Mon, 13 May 2024 01:14:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237623, Retrieved Mon, 13 May 2024 01:14:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48

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] [] [2014-10-01 15:19:58] [d67845bcf6d8dd3cd224f69460cf281c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11201
7804
8918
7874
8374
9099
7860
8000
7930
9079
8620
2513
13991
10095
11445
8792
8716
9607
7843
7221
8242
8839
6874
2478
11351
6480
6809
5464
4791
5179
4605
3809
5366
4402
4225
1719
7064
4820
6150
4971
4295
5713
4588
4253
5275
5114
5450
2088
9228
6060
7322
6147
6102
5988
5095
4971
5883
6211
6352
2581
9787
6187
7456
5127
5615
6243
5161
5439
4939
5349
4959
3080
7695
4965
6179
5166
5012
5094
4855
4272
4658
5146
5346
6009

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237623&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237623&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011874.51262283716351.797599480921
0.022107.08448330834343.731296771096
0.032342.80717287746363.90142319452
0.042569.18901150951441.736145837189
0.052801.53703957028553.332879507793
0.063049.13129748599643.928166762269
0.073305.5155816885676.324237278381
0.083554.30296122769644.743641961859
0.093779.01314973191567.782993979613
0.13969.80840318581473.428670899552
0.114125.10329143603385.981518194884
0.124249.45138195815319.27507101286
0.134350.1477603848275.885297820673
0.144434.38368331086250.536207333276
0.154507.69116357034235.362112289289
0.164573.57303973452223.994589314441
0.174633.84956147216212.773786854991
0.184689.25608822437200.210886661778
0.194739.9945877455186.193768449133
0.24786.11826078742171.313318983708
0.214827.74379305808156.406337157
0.224865.13443958219142.325877901433
0.234898.70316091008129.833294358437
0.244928.97394239059119.39946593044
0.254956.52690161382111.288943994331
0.264981.94408798896105.446092363272
0.275005.76724848738101.617408949182
0.285028.4740346114899.4828788561262
0.295050.474009969898.7203078249641
0.35072.120835735799.2135974192679
0.315093.73345775364100.949512373745
0.325115.61807206205104.064145883768
0.335138.08425745024108.709953049512
0.345161.45205988105115.014015393898
0.355186.05050960033122.994487513819
0.365212.2106045352132.619560318797
0.375240.25637490522143.78760175384
0.385270.49631406847156.414686549263
0.395303.21507294547170.388218537939
0.45338.66312726591185.568660641283
0.415377.04128498625201.730587012956
0.425418.47799481734218.477161567014
0.435463.00025277664235.202344157977
0.445510.50257148817251.090802044689
0.455560.72167025731265.19079058969
0.465613.22601901498276.499104275664
0.475667.4283761848284.165312549342
0.485722.62599771426287.613916030244
0.495778.06800378075286.69477662483
0.55833.04370702024281.81447505515
0.515886.98087032974273.896168125906
0.525939.53992987037264.408917529846
0.535990.68971807626255.223251440767
0.546040.75211024057248.430627056494
0.556090.40682174457246.16352795987
0.566140.65261539914250.200385488566
0.576192.7267351239261.684184085803
0.586247.98982733884280.845547793445
0.596307.78835997008306.970825805056
0.66373.31001436074338.529172020742
0.616445.44912768373373.392031613538
0.626524.69855510553409.102843733843
0.636611.08120226966443.079116965491
0.646704.12938871934472.88042574555
0.656802.91413809973496.398603667066
0.666906.12075832757512.071827892795
0.677012.16281766503518.976750804368
0.687119.32430767847516.925105962654
0.697225.918925005506.446810324418
0.77330.45474567891488.816431402505
0.717431.79076399277465.961650738737
0.727529.2683261575440.396447374523
0.737622.79650325885414.983914184098
0.747712.86867285069392.717179484296
0.757800.49155023864376.194838898487
0.767887.02027616274367.064503646831
0.777973.91382521781365.456758022104
0.788062.44993342874369.779486381545
0.798153.4603702422377.043378750819
0.88247.15673707095383.630497735078
0.818343.10728867033386.276889322347
0.828440.39559372012382.873522184966
0.838537.94893069218373.088189905286
0.848634.98128906936358.598045913609
0.858731.46767543519342.940392297935
0.868828.5640268859330.989258213394
0.878928.91263461911328.162028174063
0.889036.81652362551339.47445267255
0.899158.29846788853368.585925109505
0.99301.02262203429417.545415690249
0.919473.87606079431486.70833250273
0.929685.71095939182573.299671603933
0.939942.74747665859666.672658552478
0.9410245.5508830308742.859564099061
0.9510590.7456531583769.438277905208
0.9610988.1297232165738.507553070222
0.9711496.5863720626752.435396508683
0.9812229.58611871581086.99237344752
0.9913196.18973621991824.28396696281

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1874.51262283716 & 351.797599480921 \tabularnewline
0.02 & 2107.08448330834 & 343.731296771096 \tabularnewline
0.03 & 2342.80717287746 & 363.90142319452 \tabularnewline
0.04 & 2569.18901150951 & 441.736145837189 \tabularnewline
0.05 & 2801.53703957028 & 553.332879507793 \tabularnewline
0.06 & 3049.13129748599 & 643.928166762269 \tabularnewline
0.07 & 3305.5155816885 & 676.324237278381 \tabularnewline
0.08 & 3554.30296122769 & 644.743641961859 \tabularnewline
0.09 & 3779.01314973191 & 567.782993979613 \tabularnewline
0.1 & 3969.80840318581 & 473.428670899552 \tabularnewline
0.11 & 4125.10329143603 & 385.981518194884 \tabularnewline
0.12 & 4249.45138195815 & 319.27507101286 \tabularnewline
0.13 & 4350.1477603848 & 275.885297820673 \tabularnewline
0.14 & 4434.38368331086 & 250.536207333276 \tabularnewline
0.15 & 4507.69116357034 & 235.362112289289 \tabularnewline
0.16 & 4573.57303973452 & 223.994589314441 \tabularnewline
0.17 & 4633.84956147216 & 212.773786854991 \tabularnewline
0.18 & 4689.25608822437 & 200.210886661778 \tabularnewline
0.19 & 4739.9945877455 & 186.193768449133 \tabularnewline
0.2 & 4786.11826078742 & 171.313318983708 \tabularnewline
0.21 & 4827.74379305808 & 156.406337157 \tabularnewline
0.22 & 4865.13443958219 & 142.325877901433 \tabularnewline
0.23 & 4898.70316091008 & 129.833294358437 \tabularnewline
0.24 & 4928.97394239059 & 119.39946593044 \tabularnewline
0.25 & 4956.52690161382 & 111.288943994331 \tabularnewline
0.26 & 4981.94408798896 & 105.446092363272 \tabularnewline
0.27 & 5005.76724848738 & 101.617408949182 \tabularnewline
0.28 & 5028.47403461148 & 99.4828788561262 \tabularnewline
0.29 & 5050.4740099698 & 98.7203078249641 \tabularnewline
0.3 & 5072.1208357357 & 99.2135974192679 \tabularnewline
0.31 & 5093.73345775364 & 100.949512373745 \tabularnewline
0.32 & 5115.61807206205 & 104.064145883768 \tabularnewline
0.33 & 5138.08425745024 & 108.709953049512 \tabularnewline
0.34 & 5161.45205988105 & 115.014015393898 \tabularnewline
0.35 & 5186.05050960033 & 122.994487513819 \tabularnewline
0.36 & 5212.2106045352 & 132.619560318797 \tabularnewline
0.37 & 5240.25637490522 & 143.78760175384 \tabularnewline
0.38 & 5270.49631406847 & 156.414686549263 \tabularnewline
0.39 & 5303.21507294547 & 170.388218537939 \tabularnewline
0.4 & 5338.66312726591 & 185.568660641283 \tabularnewline
0.41 & 5377.04128498625 & 201.730587012956 \tabularnewline
0.42 & 5418.47799481734 & 218.477161567014 \tabularnewline
0.43 & 5463.00025277664 & 235.202344157977 \tabularnewline
0.44 & 5510.50257148817 & 251.090802044689 \tabularnewline
0.45 & 5560.72167025731 & 265.19079058969 \tabularnewline
0.46 & 5613.22601901498 & 276.499104275664 \tabularnewline
0.47 & 5667.4283761848 & 284.165312549342 \tabularnewline
0.48 & 5722.62599771426 & 287.613916030244 \tabularnewline
0.49 & 5778.06800378075 & 286.69477662483 \tabularnewline
0.5 & 5833.04370702024 & 281.81447505515 \tabularnewline
0.51 & 5886.98087032974 & 273.896168125906 \tabularnewline
0.52 & 5939.53992987037 & 264.408917529846 \tabularnewline
0.53 & 5990.68971807626 & 255.223251440767 \tabularnewline
0.54 & 6040.75211024057 & 248.430627056494 \tabularnewline
0.55 & 6090.40682174457 & 246.16352795987 \tabularnewline
0.56 & 6140.65261539914 & 250.200385488566 \tabularnewline
0.57 & 6192.7267351239 & 261.684184085803 \tabularnewline
0.58 & 6247.98982733884 & 280.845547793445 \tabularnewline
0.59 & 6307.78835997008 & 306.970825805056 \tabularnewline
0.6 & 6373.31001436074 & 338.529172020742 \tabularnewline
0.61 & 6445.44912768373 & 373.392031613538 \tabularnewline
0.62 & 6524.69855510553 & 409.102843733843 \tabularnewline
0.63 & 6611.08120226966 & 443.079116965491 \tabularnewline
0.64 & 6704.12938871934 & 472.88042574555 \tabularnewline
0.65 & 6802.91413809973 & 496.398603667066 \tabularnewline
0.66 & 6906.12075832757 & 512.071827892795 \tabularnewline
0.67 & 7012.16281766503 & 518.976750804368 \tabularnewline
0.68 & 7119.32430767847 & 516.925105962654 \tabularnewline
0.69 & 7225.918925005 & 506.446810324418 \tabularnewline
0.7 & 7330.45474567891 & 488.816431402505 \tabularnewline
0.71 & 7431.79076399277 & 465.961650738737 \tabularnewline
0.72 & 7529.2683261575 & 440.396447374523 \tabularnewline
0.73 & 7622.79650325885 & 414.983914184098 \tabularnewline
0.74 & 7712.86867285069 & 392.717179484296 \tabularnewline
0.75 & 7800.49155023864 & 376.194838898487 \tabularnewline
0.76 & 7887.02027616274 & 367.064503646831 \tabularnewline
0.77 & 7973.91382521781 & 365.456758022104 \tabularnewline
0.78 & 8062.44993342874 & 369.779486381545 \tabularnewline
0.79 & 8153.4603702422 & 377.043378750819 \tabularnewline
0.8 & 8247.15673707095 & 383.630497735078 \tabularnewline
0.81 & 8343.10728867033 & 386.276889322347 \tabularnewline
0.82 & 8440.39559372012 & 382.873522184966 \tabularnewline
0.83 & 8537.94893069218 & 373.088189905286 \tabularnewline
0.84 & 8634.98128906936 & 358.598045913609 \tabularnewline
0.85 & 8731.46767543519 & 342.940392297935 \tabularnewline
0.86 & 8828.5640268859 & 330.989258213394 \tabularnewline
0.87 & 8928.91263461911 & 328.162028174063 \tabularnewline
0.88 & 9036.81652362551 & 339.47445267255 \tabularnewline
0.89 & 9158.29846788853 & 368.585925109505 \tabularnewline
0.9 & 9301.02262203429 & 417.545415690249 \tabularnewline
0.91 & 9473.87606079431 & 486.70833250273 \tabularnewline
0.92 & 9685.71095939182 & 573.299671603933 \tabularnewline
0.93 & 9942.74747665859 & 666.672658552478 \tabularnewline
0.94 & 10245.5508830308 & 742.859564099061 \tabularnewline
0.95 & 10590.7456531583 & 769.438277905208 \tabularnewline
0.96 & 10988.1297232165 & 738.507553070222 \tabularnewline
0.97 & 11496.5863720626 & 752.435396508683 \tabularnewline
0.98 & 12229.5861187158 & 1086.99237344752 \tabularnewline
0.99 & 13196.1897362199 & 1824.28396696281 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237623&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]1874.51262283716[/C][C]351.797599480921[/C][/ROW]
[ROW][C]0.02[/C][C]2107.08448330834[/C][C]343.731296771096[/C][/ROW]
[ROW][C]0.03[/C][C]2342.80717287746[/C][C]363.90142319452[/C][/ROW]
[ROW][C]0.04[/C][C]2569.18901150951[/C][C]441.736145837189[/C][/ROW]
[ROW][C]0.05[/C][C]2801.53703957028[/C][C]553.332879507793[/C][/ROW]
[ROW][C]0.06[/C][C]3049.13129748599[/C][C]643.928166762269[/C][/ROW]
[ROW][C]0.07[/C][C]3305.5155816885[/C][C]676.324237278381[/C][/ROW]
[ROW][C]0.08[/C][C]3554.30296122769[/C][C]644.743641961859[/C][/ROW]
[ROW][C]0.09[/C][C]3779.01314973191[/C][C]567.782993979613[/C][/ROW]
[ROW][C]0.1[/C][C]3969.80840318581[/C][C]473.428670899552[/C][/ROW]
[ROW][C]0.11[/C][C]4125.10329143603[/C][C]385.981518194884[/C][/ROW]
[ROW][C]0.12[/C][C]4249.45138195815[/C][C]319.27507101286[/C][/ROW]
[ROW][C]0.13[/C][C]4350.1477603848[/C][C]275.885297820673[/C][/ROW]
[ROW][C]0.14[/C][C]4434.38368331086[/C][C]250.536207333276[/C][/ROW]
[ROW][C]0.15[/C][C]4507.69116357034[/C][C]235.362112289289[/C][/ROW]
[ROW][C]0.16[/C][C]4573.57303973452[/C][C]223.994589314441[/C][/ROW]
[ROW][C]0.17[/C][C]4633.84956147216[/C][C]212.773786854991[/C][/ROW]
[ROW][C]0.18[/C][C]4689.25608822437[/C][C]200.210886661778[/C][/ROW]
[ROW][C]0.19[/C][C]4739.9945877455[/C][C]186.193768449133[/C][/ROW]
[ROW][C]0.2[/C][C]4786.11826078742[/C][C]171.313318983708[/C][/ROW]
[ROW][C]0.21[/C][C]4827.74379305808[/C][C]156.406337157[/C][/ROW]
[ROW][C]0.22[/C][C]4865.13443958219[/C][C]142.325877901433[/C][/ROW]
[ROW][C]0.23[/C][C]4898.70316091008[/C][C]129.833294358437[/C][/ROW]
[ROW][C]0.24[/C][C]4928.97394239059[/C][C]119.39946593044[/C][/ROW]
[ROW][C]0.25[/C][C]4956.52690161382[/C][C]111.288943994331[/C][/ROW]
[ROW][C]0.26[/C][C]4981.94408798896[/C][C]105.446092363272[/C][/ROW]
[ROW][C]0.27[/C][C]5005.76724848738[/C][C]101.617408949182[/C][/ROW]
[ROW][C]0.28[/C][C]5028.47403461148[/C][C]99.4828788561262[/C][/ROW]
[ROW][C]0.29[/C][C]5050.4740099698[/C][C]98.7203078249641[/C][/ROW]
[ROW][C]0.3[/C][C]5072.1208357357[/C][C]99.2135974192679[/C][/ROW]
[ROW][C]0.31[/C][C]5093.73345775364[/C][C]100.949512373745[/C][/ROW]
[ROW][C]0.32[/C][C]5115.61807206205[/C][C]104.064145883768[/C][/ROW]
[ROW][C]0.33[/C][C]5138.08425745024[/C][C]108.709953049512[/C][/ROW]
[ROW][C]0.34[/C][C]5161.45205988105[/C][C]115.014015393898[/C][/ROW]
[ROW][C]0.35[/C][C]5186.05050960033[/C][C]122.994487513819[/C][/ROW]
[ROW][C]0.36[/C][C]5212.2106045352[/C][C]132.619560318797[/C][/ROW]
[ROW][C]0.37[/C][C]5240.25637490522[/C][C]143.78760175384[/C][/ROW]
[ROW][C]0.38[/C][C]5270.49631406847[/C][C]156.414686549263[/C][/ROW]
[ROW][C]0.39[/C][C]5303.21507294547[/C][C]170.388218537939[/C][/ROW]
[ROW][C]0.4[/C][C]5338.66312726591[/C][C]185.568660641283[/C][/ROW]
[ROW][C]0.41[/C][C]5377.04128498625[/C][C]201.730587012956[/C][/ROW]
[ROW][C]0.42[/C][C]5418.47799481734[/C][C]218.477161567014[/C][/ROW]
[ROW][C]0.43[/C][C]5463.00025277664[/C][C]235.202344157977[/C][/ROW]
[ROW][C]0.44[/C][C]5510.50257148817[/C][C]251.090802044689[/C][/ROW]
[ROW][C]0.45[/C][C]5560.72167025731[/C][C]265.19079058969[/C][/ROW]
[ROW][C]0.46[/C][C]5613.22601901498[/C][C]276.499104275664[/C][/ROW]
[ROW][C]0.47[/C][C]5667.4283761848[/C][C]284.165312549342[/C][/ROW]
[ROW][C]0.48[/C][C]5722.62599771426[/C][C]287.613916030244[/C][/ROW]
[ROW][C]0.49[/C][C]5778.06800378075[/C][C]286.69477662483[/C][/ROW]
[ROW][C]0.5[/C][C]5833.04370702024[/C][C]281.81447505515[/C][/ROW]
[ROW][C]0.51[/C][C]5886.98087032974[/C][C]273.896168125906[/C][/ROW]
[ROW][C]0.52[/C][C]5939.53992987037[/C][C]264.408917529846[/C][/ROW]
[ROW][C]0.53[/C][C]5990.68971807626[/C][C]255.223251440767[/C][/ROW]
[ROW][C]0.54[/C][C]6040.75211024057[/C][C]248.430627056494[/C][/ROW]
[ROW][C]0.55[/C][C]6090.40682174457[/C][C]246.16352795987[/C][/ROW]
[ROW][C]0.56[/C][C]6140.65261539914[/C][C]250.200385488566[/C][/ROW]
[ROW][C]0.57[/C][C]6192.7267351239[/C][C]261.684184085803[/C][/ROW]
[ROW][C]0.58[/C][C]6247.98982733884[/C][C]280.845547793445[/C][/ROW]
[ROW][C]0.59[/C][C]6307.78835997008[/C][C]306.970825805056[/C][/ROW]
[ROW][C]0.6[/C][C]6373.31001436074[/C][C]338.529172020742[/C][/ROW]
[ROW][C]0.61[/C][C]6445.44912768373[/C][C]373.392031613538[/C][/ROW]
[ROW][C]0.62[/C][C]6524.69855510553[/C][C]409.102843733843[/C][/ROW]
[ROW][C]0.63[/C][C]6611.08120226966[/C][C]443.079116965491[/C][/ROW]
[ROW][C]0.64[/C][C]6704.12938871934[/C][C]472.88042574555[/C][/ROW]
[ROW][C]0.65[/C][C]6802.91413809973[/C][C]496.398603667066[/C][/ROW]
[ROW][C]0.66[/C][C]6906.12075832757[/C][C]512.071827892795[/C][/ROW]
[ROW][C]0.67[/C][C]7012.16281766503[/C][C]518.976750804368[/C][/ROW]
[ROW][C]0.68[/C][C]7119.32430767847[/C][C]516.925105962654[/C][/ROW]
[ROW][C]0.69[/C][C]7225.918925005[/C][C]506.446810324418[/C][/ROW]
[ROW][C]0.7[/C][C]7330.45474567891[/C][C]488.816431402505[/C][/ROW]
[ROW][C]0.71[/C][C]7431.79076399277[/C][C]465.961650738737[/C][/ROW]
[ROW][C]0.72[/C][C]7529.2683261575[/C][C]440.396447374523[/C][/ROW]
[ROW][C]0.73[/C][C]7622.79650325885[/C][C]414.983914184098[/C][/ROW]
[ROW][C]0.74[/C][C]7712.86867285069[/C][C]392.717179484296[/C][/ROW]
[ROW][C]0.75[/C][C]7800.49155023864[/C][C]376.194838898487[/C][/ROW]
[ROW][C]0.76[/C][C]7887.02027616274[/C][C]367.064503646831[/C][/ROW]
[ROW][C]0.77[/C][C]7973.91382521781[/C][C]365.456758022104[/C][/ROW]
[ROW][C]0.78[/C][C]8062.44993342874[/C][C]369.779486381545[/C][/ROW]
[ROW][C]0.79[/C][C]8153.4603702422[/C][C]377.043378750819[/C][/ROW]
[ROW][C]0.8[/C][C]8247.15673707095[/C][C]383.630497735078[/C][/ROW]
[ROW][C]0.81[/C][C]8343.10728867033[/C][C]386.276889322347[/C][/ROW]
[ROW][C]0.82[/C][C]8440.39559372012[/C][C]382.873522184966[/C][/ROW]
[ROW][C]0.83[/C][C]8537.94893069218[/C][C]373.088189905286[/C][/ROW]
[ROW][C]0.84[/C][C]8634.98128906936[/C][C]358.598045913609[/C][/ROW]
[ROW][C]0.85[/C][C]8731.46767543519[/C][C]342.940392297935[/C][/ROW]
[ROW][C]0.86[/C][C]8828.5640268859[/C][C]330.989258213394[/C][/ROW]
[ROW][C]0.87[/C][C]8928.91263461911[/C][C]328.162028174063[/C][/ROW]
[ROW][C]0.88[/C][C]9036.81652362551[/C][C]339.47445267255[/C][/ROW]
[ROW][C]0.89[/C][C]9158.29846788853[/C][C]368.585925109505[/C][/ROW]
[ROW][C]0.9[/C][C]9301.02262203429[/C][C]417.545415690249[/C][/ROW]
[ROW][C]0.91[/C][C]9473.87606079431[/C][C]486.70833250273[/C][/ROW]
[ROW][C]0.92[/C][C]9685.71095939182[/C][C]573.299671603933[/C][/ROW]
[ROW][C]0.93[/C][C]9942.74747665859[/C][C]666.672658552478[/C][/ROW]
[ROW][C]0.94[/C][C]10245.5508830308[/C][C]742.859564099061[/C][/ROW]
[ROW][C]0.95[/C][C]10590.7456531583[/C][C]769.438277905208[/C][/ROW]
[ROW][C]0.96[/C][C]10988.1297232165[/C][C]738.507553070222[/C][/ROW]
[ROW][C]0.97[/C][C]11496.5863720626[/C][C]752.435396508683[/C][/ROW]
[ROW][C]0.98[/C][C]12229.5861187158[/C][C]1086.99237344752[/C][/ROW]
[ROW][C]0.99[/C][C]13196.1897362199[/C][C]1824.28396696281[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237623&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
0.011874.51262283716351.797599480921
0.022107.08448330834343.731296771096
0.032342.80717287746363.90142319452
0.042569.18901150951441.736145837189
0.052801.53703957028553.332879507793
0.063049.13129748599643.928166762269
0.073305.5155816885676.324237278381
0.083554.30296122769644.743641961859
0.093779.01314973191567.782993979613
0.13969.80840318581473.428670899552
0.114125.10329143603385.981518194884
0.124249.45138195815319.27507101286
0.134350.1477603848275.885297820673
0.144434.38368331086250.536207333276
0.154507.69116357034235.362112289289
0.164573.57303973452223.994589314441
0.174633.84956147216212.773786854991
0.184689.25608822437200.210886661778
0.194739.9945877455186.193768449133
0.24786.11826078742171.313318983708
0.214827.74379305808156.406337157
0.224865.13443958219142.325877901433
0.234898.70316091008129.833294358437
0.244928.97394239059119.39946593044
0.254956.52690161382111.288943994331
0.264981.94408798896105.446092363272
0.275005.76724848738101.617408949182
0.285028.4740346114899.4828788561262
0.295050.474009969898.7203078249641
0.35072.120835735799.2135974192679
0.315093.73345775364100.949512373745
0.325115.61807206205104.064145883768
0.335138.08425745024108.709953049512
0.345161.45205988105115.014015393898
0.355186.05050960033122.994487513819
0.365212.2106045352132.619560318797
0.375240.25637490522143.78760175384
0.385270.49631406847156.414686549263
0.395303.21507294547170.388218537939
0.45338.66312726591185.568660641283
0.415377.04128498625201.730587012956
0.425418.47799481734218.477161567014
0.435463.00025277664235.202344157977
0.445510.50257148817251.090802044689
0.455560.72167025731265.19079058969
0.465613.22601901498276.499104275664
0.475667.4283761848284.165312549342
0.485722.62599771426287.613916030244
0.495778.06800378075286.69477662483
0.55833.04370702024281.81447505515
0.515886.98087032974273.896168125906
0.525939.53992987037264.408917529846
0.535990.68971807626255.223251440767
0.546040.75211024057248.430627056494
0.556090.40682174457246.16352795987
0.566140.65261539914250.200385488566
0.576192.7267351239261.684184085803
0.586247.98982733884280.845547793445
0.596307.78835997008306.970825805056
0.66373.31001436074338.529172020742
0.616445.44912768373373.392031613538
0.626524.69855510553409.102843733843
0.636611.08120226966443.079116965491
0.646704.12938871934472.88042574555
0.656802.91413809973496.398603667066
0.666906.12075832757512.071827892795
0.677012.16281766503518.976750804368
0.687119.32430767847516.925105962654
0.697225.918925005506.446810324418
0.77330.45474567891488.816431402505
0.717431.79076399277465.961650738737
0.727529.2683261575440.396447374523
0.737622.79650325885414.983914184098
0.747712.86867285069392.717179484296
0.757800.49155023864376.194838898487
0.767887.02027616274367.064503646831
0.777973.91382521781365.456758022104
0.788062.44993342874369.779486381545
0.798153.4603702422377.043378750819
0.88247.15673707095383.630497735078
0.818343.10728867033386.276889322347
0.828440.39559372012382.873522184966
0.838537.94893069218373.088189905286
0.848634.98128906936358.598045913609
0.858731.46767543519342.940392297935
0.868828.5640268859330.989258213394
0.878928.91263461911328.162028174063
0.889036.81652362551339.47445267255
0.899158.29846788853368.585925109505
0.99301.02262203429417.545415690249
0.919473.87606079431486.70833250273
0.929685.71095939182573.299671603933
0.939942.74747665859666.672658552478
0.9410245.5508830308742.859564099061
0.9510590.7456531583769.438277905208
0.9610988.1297232165738.507553070222
0.9711496.5863720626752.435396508683
0.9812229.58611871581086.99237344752
0.9913196.18973621991824.28396696281


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')