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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 16 Oct 2008 10:03:48 -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/2008/Oct/16/t1224173096mnjxh6gw67w6fyo.htm/, Retrieved Sun, 19 May 2024 16:28:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16370, Retrieved Sun, 19 May 2024 16:28:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

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 Tij...] [2008-10-16 16:03:48] [e08fee3874f3333d6b7a377a061b860d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58.972
59.249
63.955
53.785
52.760
44.795
37.348
32.370
32.717
40.974
33.591
21.124
58.608
46.865
51.378
46.235
47.206
45.382
41.227
33.795
31.295
42.625
33.625
21.538
56.421
53.152
53.536
52.408
41.454
38.271
35.306
26.414
31.917
38.030
27.534
18.387
50.556
43.901
48.572
43.899
37.532
40.357
35.489
29.027
34.485
42.598
30.306
26.451
47.460
50.104
61.465
53.726
39.477
43.895
31.481
29.896
33.842
39.120
33.702
25.094

Tables (Output of Computation)





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=16370&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=16370&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16370&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119.02761637307872.38698009263885
0.0220.00139716297892.14425572989944
0.0321.0837227959482.16348744651570
0.0422.15125580523092.33157586029962
0.0523.16272179104822.44931035894359
0.0624.1062845361672.44051400803646
0.0724.97487320335562.33605365592620
0.0825.76484852714272.20310551816992
0.0926.47938881351792.0931480840092
0.127.12795574301392.02216880292351
0.1127.72248414270941.97859150578908
0.1228.27351872212571.94208077058934
0.1328.7882307488471.89696104778207
0.1429.27041953021341.8367040150401
0.1529.72164927453761.76228925952913
0.1630.14259987931551.67897168813079
0.1730.53406609942061.59321874787306
0.1830.89743716885031.51046344445745
0.1931.23474834837391.43429376330694
0.231.54849500626331.36639513398288
0.2131.84138842067621.30694553361123
0.2232.11617057979741.25574967437748
0.2332.37553601056351.21268033481493
0.2432.62215422202511.17846200175756
0.2532.85875361615311.15475809408658
0.2633.08821551276511.14434939463541
0.2733.31363086647121.15019318607619
0.2833.53828707933671.17485697104175
0.2933.7655727582371.21970430832803
0.333.99880934951591.28401257348925
0.3134.24103600000581.36512431417825
0.3234.49478461623871.45863419929617
0.3334.76188441241791.55911551100931
0.3435.04332952052031.66066562170397
0.3535.33923132388411.75760378177679
0.3635.64886195899381.84523315595317
0.3735.97078015171051.91979533196564
0.3836.30301811643561.97923739511278
0.3936.64330067199872.02278962538638
0.436.98926586371032.05123438533583
0.4137.33865987663682.06615399856899
0.4237.6894865521712.06996120336750
0.4338.04010146102362.06526986111166
0.4438.38925019654842.05473833330350
0.4538.73605859315342.04043406985285
0.4639.07998782216372.02419707320579
0.4739.42076940027542.00706521662762
0.4839.7583343896391.98981661126400
0.4940.09274828886651.97284383629559
0.540.42415932480511.95632767714236
0.5140.75276398428281.94017288300558
0.5241.07879031708121.92455601073276
0.5341.40249708605411.9095373262426
0.5441.72418523239151.89534323007388
0.5542.04421720526961.88231237938705
0.5642.36303931863311.87097264515917
0.5742.68120238604841.86206228691339
0.5842.99937649047111.85632747731749
0.5943.31835692251311.85465678962617
0.643.63905999887061.85778069460110
0.6143.96250935949631.86630451092798
0.6244.28981492349541.88053154442749
0.6344.62214735639421.90059383996803
0.6444.96071021077161.92627913856252
0.6545.3067097997881.95734287364556
0.6645.66131987044131.99337076078497
0.6746.02563532309172.03383707849475
0.6846.40060792032672.07798406118861
0.6946.78695833066932.12460666011338
0.747.18506351895882.17179580003495
0.7147.59482602126322.21682497964743
0.7248.01554063181232.25608858012498
0.7348.44578242496372.28528280209234
0.7448.88334572161622.29980981258345
0.7549.3252650709872.29537728313765
0.7649.76794605657182.26867526762961
0.7750.20742619854432.21790100465338
0.7850.63977517371782.14337311270545
0.7951.06162905968172.04818089784124
0.851.47083376684751.93828000327535
0.8151.86714502636781.82285979212766
0.8252.2528930127921.7143941904743
0.8352.63346947839461.62848232434337
0.8453.01744416817051.58237079473786
0.8553.41608999985181.5914986128023
0.8653.84213331653821.66335148746201
0.8754.30769303955031.79136044707903
0.8854.82165971086561.95270070843317
0.8955.38716595800672.11173691466189
0.956.00019390351462.22760961259299
0.9156.65052733303992.26534999715744
0.9257.32590791029492.20926453769034
0.9358.01918884057162.07566174992147
0.9458.73649616042641.91884141800896
0.9559.50209724876061.81890865329763
0.9660.35307422796171.83642473093271
0.9761.31495115222681.96185577385288
0.9862.35317000498412.13718519259898
0.9963.3182620034932.31571727745732

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 19.0276163730787 & 2.38698009263885 \tabularnewline
0.02 & 20.0013971629789 & 2.14425572989944 \tabularnewline
0.03 & 21.083722795948 & 2.16348744651570 \tabularnewline
0.04 & 22.1512558052309 & 2.33157586029962 \tabularnewline
0.05 & 23.1627217910482 & 2.44931035894359 \tabularnewline
0.06 & 24.106284536167 & 2.44051400803646 \tabularnewline
0.07 & 24.9748732033556 & 2.33605365592620 \tabularnewline
0.08 & 25.7648485271427 & 2.20310551816992 \tabularnewline
0.09 & 26.4793888135179 & 2.0931480840092 \tabularnewline
0.1 & 27.1279557430139 & 2.02216880292351 \tabularnewline
0.11 & 27.7224841427094 & 1.97859150578908 \tabularnewline
0.12 & 28.2735187221257 & 1.94208077058934 \tabularnewline
0.13 & 28.788230748847 & 1.89696104778207 \tabularnewline
0.14 & 29.2704195302134 & 1.8367040150401 \tabularnewline
0.15 & 29.7216492745376 & 1.76228925952913 \tabularnewline
0.16 & 30.1425998793155 & 1.67897168813079 \tabularnewline
0.17 & 30.5340660994206 & 1.59321874787306 \tabularnewline
0.18 & 30.8974371688503 & 1.51046344445745 \tabularnewline
0.19 & 31.2347483483739 & 1.43429376330694 \tabularnewline
0.2 & 31.5484950062633 & 1.36639513398288 \tabularnewline
0.21 & 31.8413884206762 & 1.30694553361123 \tabularnewline
0.22 & 32.1161705797974 & 1.25574967437748 \tabularnewline
0.23 & 32.3755360105635 & 1.21268033481493 \tabularnewline
0.24 & 32.6221542220251 & 1.17846200175756 \tabularnewline
0.25 & 32.8587536161531 & 1.15475809408658 \tabularnewline
0.26 & 33.0882155127651 & 1.14434939463541 \tabularnewline
0.27 & 33.3136308664712 & 1.15019318607619 \tabularnewline
0.28 & 33.5382870793367 & 1.17485697104175 \tabularnewline
0.29 & 33.765572758237 & 1.21970430832803 \tabularnewline
0.3 & 33.9988093495159 & 1.28401257348925 \tabularnewline
0.31 & 34.2410360000058 & 1.36512431417825 \tabularnewline
0.32 & 34.4947846162387 & 1.45863419929617 \tabularnewline
0.33 & 34.7618844124179 & 1.55911551100931 \tabularnewline
0.34 & 35.0433295205203 & 1.66066562170397 \tabularnewline
0.35 & 35.3392313238841 & 1.75760378177679 \tabularnewline
0.36 & 35.6488619589938 & 1.84523315595317 \tabularnewline
0.37 & 35.9707801517105 & 1.91979533196564 \tabularnewline
0.38 & 36.3030181164356 & 1.97923739511278 \tabularnewline
0.39 & 36.6433006719987 & 2.02278962538638 \tabularnewline
0.4 & 36.9892658637103 & 2.05123438533583 \tabularnewline
0.41 & 37.3386598766368 & 2.06615399856899 \tabularnewline
0.42 & 37.689486552171 & 2.06996120336750 \tabularnewline
0.43 & 38.0401014610236 & 2.06526986111166 \tabularnewline
0.44 & 38.3892501965484 & 2.05473833330350 \tabularnewline
0.45 & 38.7360585931534 & 2.04043406985285 \tabularnewline
0.46 & 39.0799878221637 & 2.02419707320579 \tabularnewline
0.47 & 39.4207694002754 & 2.00706521662762 \tabularnewline
0.48 & 39.758334389639 & 1.98981661126400 \tabularnewline
0.49 & 40.0927482888665 & 1.97284383629559 \tabularnewline
0.5 & 40.4241593248051 & 1.95632767714236 \tabularnewline
0.51 & 40.7527639842828 & 1.94017288300558 \tabularnewline
0.52 & 41.0787903170812 & 1.92455601073276 \tabularnewline
0.53 & 41.4024970860541 & 1.9095373262426 \tabularnewline
0.54 & 41.7241852323915 & 1.89534323007388 \tabularnewline
0.55 & 42.0442172052696 & 1.88231237938705 \tabularnewline
0.56 & 42.3630393186331 & 1.87097264515917 \tabularnewline
0.57 & 42.6812023860484 & 1.86206228691339 \tabularnewline
0.58 & 42.9993764904711 & 1.85632747731749 \tabularnewline
0.59 & 43.3183569225131 & 1.85465678962617 \tabularnewline
0.6 & 43.6390599988706 & 1.85778069460110 \tabularnewline
0.61 & 43.9625093594963 & 1.86630451092798 \tabularnewline
0.62 & 44.2898149234954 & 1.88053154442749 \tabularnewline
0.63 & 44.6221473563942 & 1.90059383996803 \tabularnewline
0.64 & 44.9607102107716 & 1.92627913856252 \tabularnewline
0.65 & 45.306709799788 & 1.95734287364556 \tabularnewline
0.66 & 45.6613198704413 & 1.99337076078497 \tabularnewline
0.67 & 46.0256353230917 & 2.03383707849475 \tabularnewline
0.68 & 46.4006079203267 & 2.07798406118861 \tabularnewline
0.69 & 46.7869583306693 & 2.12460666011338 \tabularnewline
0.7 & 47.1850635189588 & 2.17179580003495 \tabularnewline
0.71 & 47.5948260212632 & 2.21682497964743 \tabularnewline
0.72 & 48.0155406318123 & 2.25608858012498 \tabularnewline
0.73 & 48.4457824249637 & 2.28528280209234 \tabularnewline
0.74 & 48.8833457216162 & 2.29980981258345 \tabularnewline
0.75 & 49.325265070987 & 2.29537728313765 \tabularnewline
0.76 & 49.7679460565718 & 2.26867526762961 \tabularnewline
0.77 & 50.2074261985443 & 2.21790100465338 \tabularnewline
0.78 & 50.6397751737178 & 2.14337311270545 \tabularnewline
0.79 & 51.0616290596817 & 2.04818089784124 \tabularnewline
0.8 & 51.4708337668475 & 1.93828000327535 \tabularnewline
0.81 & 51.8671450263678 & 1.82285979212766 \tabularnewline
0.82 & 52.252893012792 & 1.7143941904743 \tabularnewline
0.83 & 52.6334694783946 & 1.62848232434337 \tabularnewline
0.84 & 53.0174441681705 & 1.58237079473786 \tabularnewline
0.85 & 53.4160899998518 & 1.5914986128023 \tabularnewline
0.86 & 53.8421333165382 & 1.66335148746201 \tabularnewline
0.87 & 54.3076930395503 & 1.79136044707903 \tabularnewline
0.88 & 54.8216597108656 & 1.95270070843317 \tabularnewline
0.89 & 55.3871659580067 & 2.11173691466189 \tabularnewline
0.9 & 56.0001939035146 & 2.22760961259299 \tabularnewline
0.91 & 56.6505273330399 & 2.26534999715744 \tabularnewline
0.92 & 57.3259079102949 & 2.20926453769034 \tabularnewline
0.93 & 58.0191888405716 & 2.07566174992147 \tabularnewline
0.94 & 58.7364961604264 & 1.91884141800896 \tabularnewline
0.95 & 59.5020972487606 & 1.81890865329763 \tabularnewline
0.96 & 60.3530742279617 & 1.83642473093271 \tabularnewline
0.97 & 61.3149511522268 & 1.96185577385288 \tabularnewline
0.98 & 62.3531700049841 & 2.13718519259898 \tabularnewline
0.99 & 63.318262003493 & 2.31571727745732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16370&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]19.0276163730787[/C][C]2.38698009263885[/C][/ROW]
[ROW][C]0.02[/C][C]20.0013971629789[/C][C]2.14425572989944[/C][/ROW]
[ROW][C]0.03[/C][C]21.083722795948[/C][C]2.16348744651570[/C][/ROW]
[ROW][C]0.04[/C][C]22.1512558052309[/C][C]2.33157586029962[/C][/ROW]
[ROW][C]0.05[/C][C]23.1627217910482[/C][C]2.44931035894359[/C][/ROW]
[ROW][C]0.06[/C][C]24.106284536167[/C][C]2.44051400803646[/C][/ROW]
[ROW][C]0.07[/C][C]24.9748732033556[/C][C]2.33605365592620[/C][/ROW]
[ROW][C]0.08[/C][C]25.7648485271427[/C][C]2.20310551816992[/C][/ROW]
[ROW][C]0.09[/C][C]26.4793888135179[/C][C]2.0931480840092[/C][/ROW]
[ROW][C]0.1[/C][C]27.1279557430139[/C][C]2.02216880292351[/C][/ROW]
[ROW][C]0.11[/C][C]27.7224841427094[/C][C]1.97859150578908[/C][/ROW]
[ROW][C]0.12[/C][C]28.2735187221257[/C][C]1.94208077058934[/C][/ROW]
[ROW][C]0.13[/C][C]28.788230748847[/C][C]1.89696104778207[/C][/ROW]
[ROW][C]0.14[/C][C]29.2704195302134[/C][C]1.8367040150401[/C][/ROW]
[ROW][C]0.15[/C][C]29.7216492745376[/C][C]1.76228925952913[/C][/ROW]
[ROW][C]0.16[/C][C]30.1425998793155[/C][C]1.67897168813079[/C][/ROW]
[ROW][C]0.17[/C][C]30.5340660994206[/C][C]1.59321874787306[/C][/ROW]
[ROW][C]0.18[/C][C]30.8974371688503[/C][C]1.51046344445745[/C][/ROW]
[ROW][C]0.19[/C][C]31.2347483483739[/C][C]1.43429376330694[/C][/ROW]
[ROW][C]0.2[/C][C]31.5484950062633[/C][C]1.36639513398288[/C][/ROW]
[ROW][C]0.21[/C][C]31.8413884206762[/C][C]1.30694553361123[/C][/ROW]
[ROW][C]0.22[/C][C]32.1161705797974[/C][C]1.25574967437748[/C][/ROW]
[ROW][C]0.23[/C][C]32.3755360105635[/C][C]1.21268033481493[/C][/ROW]
[ROW][C]0.24[/C][C]32.6221542220251[/C][C]1.17846200175756[/C][/ROW]
[ROW][C]0.25[/C][C]32.8587536161531[/C][C]1.15475809408658[/C][/ROW]
[ROW][C]0.26[/C][C]33.0882155127651[/C][C]1.14434939463541[/C][/ROW]
[ROW][C]0.27[/C][C]33.3136308664712[/C][C]1.15019318607619[/C][/ROW]
[ROW][C]0.28[/C][C]33.5382870793367[/C][C]1.17485697104175[/C][/ROW]
[ROW][C]0.29[/C][C]33.765572758237[/C][C]1.21970430832803[/C][/ROW]
[ROW][C]0.3[/C][C]33.9988093495159[/C][C]1.28401257348925[/C][/ROW]
[ROW][C]0.31[/C][C]34.2410360000058[/C][C]1.36512431417825[/C][/ROW]
[ROW][C]0.32[/C][C]34.4947846162387[/C][C]1.45863419929617[/C][/ROW]
[ROW][C]0.33[/C][C]34.7618844124179[/C][C]1.55911551100931[/C][/ROW]
[ROW][C]0.34[/C][C]35.0433295205203[/C][C]1.66066562170397[/C][/ROW]
[ROW][C]0.35[/C][C]35.3392313238841[/C][C]1.75760378177679[/C][/ROW]
[ROW][C]0.36[/C][C]35.6488619589938[/C][C]1.84523315595317[/C][/ROW]
[ROW][C]0.37[/C][C]35.9707801517105[/C][C]1.91979533196564[/C][/ROW]
[ROW][C]0.38[/C][C]36.3030181164356[/C][C]1.97923739511278[/C][/ROW]
[ROW][C]0.39[/C][C]36.6433006719987[/C][C]2.02278962538638[/C][/ROW]
[ROW][C]0.4[/C][C]36.9892658637103[/C][C]2.05123438533583[/C][/ROW]
[ROW][C]0.41[/C][C]37.3386598766368[/C][C]2.06615399856899[/C][/ROW]
[ROW][C]0.42[/C][C]37.689486552171[/C][C]2.06996120336750[/C][/ROW]
[ROW][C]0.43[/C][C]38.0401014610236[/C][C]2.06526986111166[/C][/ROW]
[ROW][C]0.44[/C][C]38.3892501965484[/C][C]2.05473833330350[/C][/ROW]
[ROW][C]0.45[/C][C]38.7360585931534[/C][C]2.04043406985285[/C][/ROW]
[ROW][C]0.46[/C][C]39.0799878221637[/C][C]2.02419707320579[/C][/ROW]
[ROW][C]0.47[/C][C]39.4207694002754[/C][C]2.00706521662762[/C][/ROW]
[ROW][C]0.48[/C][C]39.758334389639[/C][C]1.98981661126400[/C][/ROW]
[ROW][C]0.49[/C][C]40.0927482888665[/C][C]1.97284383629559[/C][/ROW]
[ROW][C]0.5[/C][C]40.4241593248051[/C][C]1.95632767714236[/C][/ROW]
[ROW][C]0.51[/C][C]40.7527639842828[/C][C]1.94017288300558[/C][/ROW]
[ROW][C]0.52[/C][C]41.0787903170812[/C][C]1.92455601073276[/C][/ROW]
[ROW][C]0.53[/C][C]41.4024970860541[/C][C]1.9095373262426[/C][/ROW]
[ROW][C]0.54[/C][C]41.7241852323915[/C][C]1.89534323007388[/C][/ROW]
[ROW][C]0.55[/C][C]42.0442172052696[/C][C]1.88231237938705[/C][/ROW]
[ROW][C]0.56[/C][C]42.3630393186331[/C][C]1.87097264515917[/C][/ROW]
[ROW][C]0.57[/C][C]42.6812023860484[/C][C]1.86206228691339[/C][/ROW]
[ROW][C]0.58[/C][C]42.9993764904711[/C][C]1.85632747731749[/C][/ROW]
[ROW][C]0.59[/C][C]43.3183569225131[/C][C]1.85465678962617[/C][/ROW]
[ROW][C]0.6[/C][C]43.6390599988706[/C][C]1.85778069460110[/C][/ROW]
[ROW][C]0.61[/C][C]43.9625093594963[/C][C]1.86630451092798[/C][/ROW]
[ROW][C]0.62[/C][C]44.2898149234954[/C][C]1.88053154442749[/C][/ROW]
[ROW][C]0.63[/C][C]44.6221473563942[/C][C]1.90059383996803[/C][/ROW]
[ROW][C]0.64[/C][C]44.9607102107716[/C][C]1.92627913856252[/C][/ROW]
[ROW][C]0.65[/C][C]45.306709799788[/C][C]1.95734287364556[/C][/ROW]
[ROW][C]0.66[/C][C]45.6613198704413[/C][C]1.99337076078497[/C][/ROW]
[ROW][C]0.67[/C][C]46.0256353230917[/C][C]2.03383707849475[/C][/ROW]
[ROW][C]0.68[/C][C]46.4006079203267[/C][C]2.07798406118861[/C][/ROW]
[ROW][C]0.69[/C][C]46.7869583306693[/C][C]2.12460666011338[/C][/ROW]
[ROW][C]0.7[/C][C]47.1850635189588[/C][C]2.17179580003495[/C][/ROW]
[ROW][C]0.71[/C][C]47.5948260212632[/C][C]2.21682497964743[/C][/ROW]
[ROW][C]0.72[/C][C]48.0155406318123[/C][C]2.25608858012498[/C][/ROW]
[ROW][C]0.73[/C][C]48.4457824249637[/C][C]2.28528280209234[/C][/ROW]
[ROW][C]0.74[/C][C]48.8833457216162[/C][C]2.29980981258345[/C][/ROW]
[ROW][C]0.75[/C][C]49.325265070987[/C][C]2.29537728313765[/C][/ROW]
[ROW][C]0.76[/C][C]49.7679460565718[/C][C]2.26867526762961[/C][/ROW]
[ROW][C]0.77[/C][C]50.2074261985443[/C][C]2.21790100465338[/C][/ROW]
[ROW][C]0.78[/C][C]50.6397751737178[/C][C]2.14337311270545[/C][/ROW]
[ROW][C]0.79[/C][C]51.0616290596817[/C][C]2.04818089784124[/C][/ROW]
[ROW][C]0.8[/C][C]51.4708337668475[/C][C]1.93828000327535[/C][/ROW]
[ROW][C]0.81[/C][C]51.8671450263678[/C][C]1.82285979212766[/C][/ROW]
[ROW][C]0.82[/C][C]52.252893012792[/C][C]1.7143941904743[/C][/ROW]
[ROW][C]0.83[/C][C]52.6334694783946[/C][C]1.62848232434337[/C][/ROW]
[ROW][C]0.84[/C][C]53.0174441681705[/C][C]1.58237079473786[/C][/ROW]
[ROW][C]0.85[/C][C]53.4160899998518[/C][C]1.5914986128023[/C][/ROW]
[ROW][C]0.86[/C][C]53.8421333165382[/C][C]1.66335148746201[/C][/ROW]
[ROW][C]0.87[/C][C]54.3076930395503[/C][C]1.79136044707903[/C][/ROW]
[ROW][C]0.88[/C][C]54.8216597108656[/C][C]1.95270070843317[/C][/ROW]
[ROW][C]0.89[/C][C]55.3871659580067[/C][C]2.11173691466189[/C][/ROW]
[ROW][C]0.9[/C][C]56.0001939035146[/C][C]2.22760961259299[/C][/ROW]
[ROW][C]0.91[/C][C]56.6505273330399[/C][C]2.26534999715744[/C][/ROW]
[ROW][C]0.92[/C][C]57.3259079102949[/C][C]2.20926453769034[/C][/ROW]
[ROW][C]0.93[/C][C]58.0191888405716[/C][C]2.07566174992147[/C][/ROW]
[ROW][C]0.94[/C][C]58.7364961604264[/C][C]1.91884141800896[/C][/ROW]
[ROW][C]0.95[/C][C]59.5020972487606[/C][C]1.81890865329763[/C][/ROW]
[ROW][C]0.96[/C][C]60.3530742279617[/C][C]1.83642473093271[/C][/ROW]
[ROW][C]0.97[/C][C]61.3149511522268[/C][C]1.96185577385288[/C][/ROW]
[ROW][C]0.98[/C][C]62.3531700049841[/C][C]2.13718519259898[/C][/ROW]
[ROW][C]0.99[/C][C]63.318262003493[/C][C]2.31571727745732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16370&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16370&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
0.0119.02761637307872.38698009263885
0.0220.00139716297892.14425572989944
0.0321.0837227959482.16348744651570
0.0422.15125580523092.33157586029962
0.0523.16272179104822.44931035894359
0.0624.1062845361672.44051400803646
0.0724.97487320335562.33605365592620
0.0825.76484852714272.20310551816992
0.0926.47938881351792.0931480840092
0.127.12795574301392.02216880292351
0.1127.72248414270941.97859150578908
0.1228.27351872212571.94208077058934
0.1328.7882307488471.89696104778207
0.1429.27041953021341.8367040150401
0.1529.72164927453761.76228925952913
0.1630.14259987931551.67897168813079
0.1730.53406609942061.59321874787306
0.1830.89743716885031.51046344445745
0.1931.23474834837391.43429376330694
0.231.54849500626331.36639513398288
0.2131.84138842067621.30694553361123
0.2232.11617057979741.25574967437748
0.2332.37553601056351.21268033481493
0.2432.62215422202511.17846200175756
0.2532.85875361615311.15475809408658
0.2633.08821551276511.14434939463541
0.2733.31363086647121.15019318607619
0.2833.53828707933671.17485697104175
0.2933.7655727582371.21970430832803
0.333.99880934951591.28401257348925
0.3134.24103600000581.36512431417825
0.3234.49478461623871.45863419929617
0.3334.76188441241791.55911551100931
0.3435.04332952052031.66066562170397
0.3535.33923132388411.75760378177679
0.3635.64886195899381.84523315595317
0.3735.97078015171051.91979533196564
0.3836.30301811643561.97923739511278
0.3936.64330067199872.02278962538638
0.436.98926586371032.05123438533583
0.4137.33865987663682.06615399856899
0.4237.6894865521712.06996120336750
0.4338.04010146102362.06526986111166
0.4438.38925019654842.05473833330350
0.4538.73605859315342.04043406985285
0.4639.07998782216372.02419707320579
0.4739.42076940027542.00706521662762
0.4839.7583343896391.98981661126400
0.4940.09274828886651.97284383629559
0.540.42415932480511.95632767714236
0.5140.75276398428281.94017288300558
0.5241.07879031708121.92455601073276
0.5341.40249708605411.9095373262426
0.5441.72418523239151.89534323007388
0.5542.04421720526961.88231237938705
0.5642.36303931863311.87097264515917
0.5742.68120238604841.86206228691339
0.5842.99937649047111.85632747731749
0.5943.31835692251311.85465678962617
0.643.63905999887061.85778069460110
0.6143.96250935949631.86630451092798
0.6244.28981492349541.88053154442749
0.6344.62214735639421.90059383996803
0.6444.96071021077161.92627913856252
0.6545.3067097997881.95734287364556
0.6645.66131987044131.99337076078497
0.6746.02563532309172.03383707849475
0.6846.40060792032672.07798406118861
0.6946.78695833066932.12460666011338
0.747.18506351895882.17179580003495
0.7147.59482602126322.21682497964743
0.7248.01554063181232.25608858012498
0.7348.44578242496372.28528280209234
0.7448.88334572161622.29980981258345
0.7549.3252650709872.29537728313765
0.7649.76794605657182.26867526762961
0.7750.20742619854432.21790100465338
0.7850.63977517371782.14337311270545
0.7951.06162905968172.04818089784124
0.851.47083376684751.93828000327535
0.8151.86714502636781.82285979212766
0.8252.2528930127921.7143941904743
0.8352.63346947839461.62848232434337
0.8453.01744416817051.58237079473786
0.8553.41608999985181.5914986128023
0.8653.84213331653821.66335148746201
0.8754.30769303955031.79136044707903
0.8854.82165971086561.95270070843317
0.8955.38716595800672.11173691466189
0.956.00019390351462.22760961259299
0.9156.65052733303992.26534999715744
0.9257.32590791029492.20926453769034
0.9358.01918884057162.07566174992147
0.9458.73649616042641.91884141800896
0.9559.50209724876061.81890865329763
0.9660.35307422796171.83642473093271
0.9761.31495115222681.96185577385288
0.9862.35317000498412.13718519259898
0.9963.3182620034932.31571727745732


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')