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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, 23 Oct 2008 05:42:33 -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/23/t1224763613tygwzwyxwwkfrz7.htm/, Retrieved Fri, 17 May 2024 06:41:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18481, Retrieved Fri, 17 May 2024 06:41:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Taak 4 Deel 3 Q9 ...] [2008-10-23 11:42:33] [e08fee3874f3333d6b7a377a061b860d] [Current]
Feedback Forum
2008-11-02 11:32:32 [Kevin Neelen] [reply] 
Ik heb hier gebruik gemaakt van de Harell-Davis-Quantiles-Methode om een bepaald betrouwbaarheidsinterval te berekenen. Dit is op dezelfde wijze gebeurd als in Q5.
2008-11-02 14:36:19 [Stijn Van de Velde] [reply] 
Hier heb ik dezelfde toevoeging aan als bij Q5, namelijk:

Dit antwoord is correct.

Er zijn echter 2 manieren om dit te berekenen.
1) in bijvoorbeeld excel het gemiddelde aftrekken van de originele waarden van de tijdreeks en plakken + berekenen. (deze methode werd hier gebruikt)
2) de originele waarde gebruiken en een stuk in de R-code toevoegen, namelijk: x<-x-'constante' (deze constante kan het gemiddelde zijn, maar ook de mediaan.)
De software berekend dan automatisch de nieuwe waarden.

De gevonden uitkomsten zijn eigenlijk de grenzen waarbinnen de zogenaamde random component zich bevind.
2008-11-02 14:43:49 [Michaël De Kuyer] [reply] 
De feedback van Stijn is zeer volledig. Hier kan ik weinig aan toevoegen.
2008-11-03 08:58:51 [Siem Van Opstal] [reply] 
Ik sluit mij aan bij de feedback van stijn
2008-11-04 08:58:34 [Michael Van Spaandonck] [reply] 
Ditto opgelost aan Q5. Juiste conclusie.

Post a new message

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18481&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18481&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18481&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






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=18481&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=18481&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18481&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):
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')