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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 computationSat, 04 Oct 2014 15:12:39 +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/04/t1412432045253wrlcw21aequi.htm/, Retrieved Sun, 12 May 2024 21:40:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238592, Retrieved Sun, 12 May 2024 21:40:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2014-10-04 14:12:39] [22b2c25d0cfac3f8578014987e12c3ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447
24090
27786
26195
20516
22759
19028
16971
20036
22485
18730
14538
27561
25985
34670
32066
27186
29586
21359
21553
19573
24256
22380
16167
27297
28287
33474
28229
28785
25597
18130
20198
22849
23118
21925
20801
18785
20659
29367
23992
20645
22356
17902
15879
16963
21035
17988
10437
24470
22237
27053
26419
22311
20624
17336
15586
17733
19231
16102
11770

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238592&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238592&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238592&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110804.1747277561027.70985228499
0.0211418.83907083561216.89670134629
0.0312159.00911042481535.4409939411
0.0412939.15431123521717.78245243956
0.0513691.34900015891668.19099953376
0.0614360.05495409961450.00737568337
0.0714914.92048597121179.72146332459
0.0815355.6103506427949.970715948871
0.0915702.9291668212802.44448610957
0.115985.0738568808733.39096737432
0.1116227.234805459715.014580628181
0.1216447.030288674718.574388155284
0.1316654.4034315836725.10804764752
0.1416853.6595975469725.65428034108
0.1517045.905348804718.321051601352
0.1617231.0174953033705.432813898166
0.1717408.8900283659691.426664688482
0.1817580.021167013680.898756540907
0.1917745.6158205992677.475095102531
0.217907.3920529863682.991767295598
0.2118067.2531162081697.112722977889
0.2218226.9462612474717.812432401569
0.2318387.7869497197742.004336356882
0.2418550.4879401425766.273154710795
0.2518715.1010189093787.380781583525
0.2618881.057509371802.664184610704
0.2719047.2826284235810.046624403325
0.2819212.3564539732808.475295180306
0.2919374.6973305012797.60536171614
0.319532.7483662633777.989298533409
0.3119685.1517046847750.999579101413
0.3219830.8975860303718.792933731255
0.3319969.43642639684.036329135637
0.3420100.7435365013649.884544672536
0.3520225.3288846317619.438232774653
0.3620344.1890002105595.588184089455
0.3720458.7044092069580.573985276945
0.3820570.4929350218575.508084296004
0.3920681.2355448013580.44055680611
0.420792.495978293593.84447155253
0.4120905.5572676675613.379536664919
0.4221021.2969697092636.023637205573
0.4321140.1184864184658.636526358997
0.4421261.948716382678.286042473021
0.4521386.3033536356692.816385841136
0.4621512.4116602446700.965804973259
0.4721639.3838832862702.513852615783
0.4821766.398026003698.558545739937
0.4921892.8795002382691.083809534802
0.522018.6478800069683.079371529512
0.5122144.0095202284677.879346827506
0.5222269.7825314611678.939261349876
0.5322397.2502963303689.181997532901
0.5422528.0498220745710.381162893167
0.5522664.0101297445743.116301959539
0.5622806.9622020243786.401984390631
0.5722958.5448597673838.074980244008
0.5823120.0300823537895.112318580635
0.5923292.1871858068954.037798295119
0.623475.1989405771011.18603010726
0.6123668.6354567361063.12854605663
0.6223871.48475364961106.95051747199
0.6324082.23328007781140.23377360262
0.6424298.98565675141161.44046280005
0.6524519.61049331491169.80909563959
0.6624741.89795083421165.41358323554
0.6724963.71451109281149.1537797569
0.6825183.1412061681122.68434310543
0.6925398.58369153161088.10408903798
0.725608.84638045611047.92722886418
0.7125813.16836262621004.66287938302
0.7226011.2252162223960.684265326339
0.7326203.1065291717918.015087199767
0.7426389.2820809952878.285954754774
0.7526570.5687623031842.835801943132
0.7626748.1052095937812.852789053703
0.7726923.3331722054789.422511349578
0.7827097.9764479756773.654909909505
0.7927274.0029096532766.403871959787
0.827453.5552944761768.18411047356
0.8127638.8435898864778.725099392058
0.8227832.0063379934796.92997455161
0.8328034.9686810546820.806679132684
0.8428249.3469388548847.734632983489
0.8528476.4623813366874.984969740436
0.8628717.5124924732900.642655484339
0.8728973.8860846766924.465218977059
0.8829247.4954046598948.471385288706
0.8929540.8783404691976.200386270047
0.929856.81383564051009.848321689
0.9130197.45263141231045.91233865841
0.9230563.5559949761073.15602092443
0.9330955.08784409281077.55646808928
0.9431374.3684281055.42644335496
0.9531831.29236765771027.88869174093
0.9632346.28079927841035.73684972226
0.9732941.4984962971092.28316337048
0.9833608.11800891149.60593377012
0.9934250.89828216911169.71206117046

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10804.174727756 & 1027.70985228499 \tabularnewline
0.02 & 11418.8390708356 & 1216.89670134629 \tabularnewline
0.03 & 12159.0091104248 & 1535.4409939411 \tabularnewline
0.04 & 12939.1543112352 & 1717.78245243956 \tabularnewline
0.05 & 13691.3490001589 & 1668.19099953376 \tabularnewline
0.06 & 14360.0549540996 & 1450.00737568337 \tabularnewline
0.07 & 14914.9204859712 & 1179.72146332459 \tabularnewline
0.08 & 15355.6103506427 & 949.970715948871 \tabularnewline
0.09 & 15702.9291668212 & 802.44448610957 \tabularnewline
0.1 & 15985.0738568808 & 733.39096737432 \tabularnewline
0.11 & 16227.234805459 & 715.014580628181 \tabularnewline
0.12 & 16447.030288674 & 718.574388155284 \tabularnewline
0.13 & 16654.4034315836 & 725.10804764752 \tabularnewline
0.14 & 16853.6595975469 & 725.65428034108 \tabularnewline
0.15 & 17045.905348804 & 718.321051601352 \tabularnewline
0.16 & 17231.0174953033 & 705.432813898166 \tabularnewline
0.17 & 17408.8900283659 & 691.426664688482 \tabularnewline
0.18 & 17580.021167013 & 680.898756540907 \tabularnewline
0.19 & 17745.6158205992 & 677.475095102531 \tabularnewline
0.2 & 17907.3920529863 & 682.991767295598 \tabularnewline
0.21 & 18067.2531162081 & 697.112722977889 \tabularnewline
0.22 & 18226.9462612474 & 717.812432401569 \tabularnewline
0.23 & 18387.7869497197 & 742.004336356882 \tabularnewline
0.24 & 18550.4879401425 & 766.273154710795 \tabularnewline
0.25 & 18715.1010189093 & 787.380781583525 \tabularnewline
0.26 & 18881.057509371 & 802.664184610704 \tabularnewline
0.27 & 19047.2826284235 & 810.046624403325 \tabularnewline
0.28 & 19212.3564539732 & 808.475295180306 \tabularnewline
0.29 & 19374.6973305012 & 797.60536171614 \tabularnewline
0.3 & 19532.7483662633 & 777.989298533409 \tabularnewline
0.31 & 19685.1517046847 & 750.999579101413 \tabularnewline
0.32 & 19830.8975860303 & 718.792933731255 \tabularnewline
0.33 & 19969.43642639 & 684.036329135637 \tabularnewline
0.34 & 20100.7435365013 & 649.884544672536 \tabularnewline
0.35 & 20225.3288846317 & 619.438232774653 \tabularnewline
0.36 & 20344.1890002105 & 595.588184089455 \tabularnewline
0.37 & 20458.7044092069 & 580.573985276945 \tabularnewline
0.38 & 20570.4929350218 & 575.508084296004 \tabularnewline
0.39 & 20681.2355448013 & 580.44055680611 \tabularnewline
0.4 & 20792.495978293 & 593.84447155253 \tabularnewline
0.41 & 20905.5572676675 & 613.379536664919 \tabularnewline
0.42 & 21021.2969697092 & 636.023637205573 \tabularnewline
0.43 & 21140.1184864184 & 658.636526358997 \tabularnewline
0.44 & 21261.948716382 & 678.286042473021 \tabularnewline
0.45 & 21386.3033536356 & 692.816385841136 \tabularnewline
0.46 & 21512.4116602446 & 700.965804973259 \tabularnewline
0.47 & 21639.3838832862 & 702.513852615783 \tabularnewline
0.48 & 21766.398026003 & 698.558545739937 \tabularnewline
0.49 & 21892.8795002382 & 691.083809534802 \tabularnewline
0.5 & 22018.6478800069 & 683.079371529512 \tabularnewline
0.51 & 22144.0095202284 & 677.879346827506 \tabularnewline
0.52 & 22269.7825314611 & 678.939261349876 \tabularnewline
0.53 & 22397.2502963303 & 689.181997532901 \tabularnewline
0.54 & 22528.0498220745 & 710.381162893167 \tabularnewline
0.55 & 22664.0101297445 & 743.116301959539 \tabularnewline
0.56 & 22806.9622020243 & 786.401984390631 \tabularnewline
0.57 & 22958.5448597673 & 838.074980244008 \tabularnewline
0.58 & 23120.0300823537 & 895.112318580635 \tabularnewline
0.59 & 23292.1871858068 & 954.037798295119 \tabularnewline
0.6 & 23475.198940577 & 1011.18603010726 \tabularnewline
0.61 & 23668.635456736 & 1063.12854605663 \tabularnewline
0.62 & 23871.4847536496 & 1106.95051747199 \tabularnewline
0.63 & 24082.2332800778 & 1140.23377360262 \tabularnewline
0.64 & 24298.9856567514 & 1161.44046280005 \tabularnewline
0.65 & 24519.6104933149 & 1169.80909563959 \tabularnewline
0.66 & 24741.8979508342 & 1165.41358323554 \tabularnewline
0.67 & 24963.7145110928 & 1149.1537797569 \tabularnewline
0.68 & 25183.141206168 & 1122.68434310543 \tabularnewline
0.69 & 25398.5836915316 & 1088.10408903798 \tabularnewline
0.7 & 25608.8463804561 & 1047.92722886418 \tabularnewline
0.71 & 25813.1683626262 & 1004.66287938302 \tabularnewline
0.72 & 26011.2252162223 & 960.684265326339 \tabularnewline
0.73 & 26203.1065291717 & 918.015087199767 \tabularnewline
0.74 & 26389.2820809952 & 878.285954754774 \tabularnewline
0.75 & 26570.5687623031 & 842.835801943132 \tabularnewline
0.76 & 26748.1052095937 & 812.852789053703 \tabularnewline
0.77 & 26923.3331722054 & 789.422511349578 \tabularnewline
0.78 & 27097.9764479756 & 773.654909909505 \tabularnewline
0.79 & 27274.0029096532 & 766.403871959787 \tabularnewline
0.8 & 27453.5552944761 & 768.18411047356 \tabularnewline
0.81 & 27638.8435898864 & 778.725099392058 \tabularnewline
0.82 & 27832.0063379934 & 796.92997455161 \tabularnewline
0.83 & 28034.9686810546 & 820.806679132684 \tabularnewline
0.84 & 28249.3469388548 & 847.734632983489 \tabularnewline
0.85 & 28476.4623813366 & 874.984969740436 \tabularnewline
0.86 & 28717.5124924732 & 900.642655484339 \tabularnewline
0.87 & 28973.8860846766 & 924.465218977059 \tabularnewline
0.88 & 29247.4954046598 & 948.471385288706 \tabularnewline
0.89 & 29540.8783404691 & 976.200386270047 \tabularnewline
0.9 & 29856.8138356405 & 1009.848321689 \tabularnewline
0.91 & 30197.4526314123 & 1045.91233865841 \tabularnewline
0.92 & 30563.555994976 & 1073.15602092443 \tabularnewline
0.93 & 30955.0878440928 & 1077.55646808928 \tabularnewline
0.94 & 31374.368428 & 1055.42644335496 \tabularnewline
0.95 & 31831.2923676577 & 1027.88869174093 \tabularnewline
0.96 & 32346.2807992784 & 1035.73684972226 \tabularnewline
0.97 & 32941.498496297 & 1092.28316337048 \tabularnewline
0.98 & 33608.1180089 & 1149.60593377012 \tabularnewline
0.99 & 34250.8982821691 & 1169.71206117046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238592&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]10804.174727756[/C][C]1027.70985228499[/C][/ROW]
[ROW][C]0.02[/C][C]11418.8390708356[/C][C]1216.89670134629[/C][/ROW]
[ROW][C]0.03[/C][C]12159.0091104248[/C][C]1535.4409939411[/C][/ROW]
[ROW][C]0.04[/C][C]12939.1543112352[/C][C]1717.78245243956[/C][/ROW]
[ROW][C]0.05[/C][C]13691.3490001589[/C][C]1668.19099953376[/C][/ROW]
[ROW][C]0.06[/C][C]14360.0549540996[/C][C]1450.00737568337[/C][/ROW]
[ROW][C]0.07[/C][C]14914.9204859712[/C][C]1179.72146332459[/C][/ROW]
[ROW][C]0.08[/C][C]15355.6103506427[/C][C]949.970715948871[/C][/ROW]
[ROW][C]0.09[/C][C]15702.9291668212[/C][C]802.44448610957[/C][/ROW]
[ROW][C]0.1[/C][C]15985.0738568808[/C][C]733.39096737432[/C][/ROW]
[ROW][C]0.11[/C][C]16227.234805459[/C][C]715.014580628181[/C][/ROW]
[ROW][C]0.12[/C][C]16447.030288674[/C][C]718.574388155284[/C][/ROW]
[ROW][C]0.13[/C][C]16654.4034315836[/C][C]725.10804764752[/C][/ROW]
[ROW][C]0.14[/C][C]16853.6595975469[/C][C]725.65428034108[/C][/ROW]
[ROW][C]0.15[/C][C]17045.905348804[/C][C]718.321051601352[/C][/ROW]
[ROW][C]0.16[/C][C]17231.0174953033[/C][C]705.432813898166[/C][/ROW]
[ROW][C]0.17[/C][C]17408.8900283659[/C][C]691.426664688482[/C][/ROW]
[ROW][C]0.18[/C][C]17580.021167013[/C][C]680.898756540907[/C][/ROW]
[ROW][C]0.19[/C][C]17745.6158205992[/C][C]677.475095102531[/C][/ROW]
[ROW][C]0.2[/C][C]17907.3920529863[/C][C]682.991767295598[/C][/ROW]
[ROW][C]0.21[/C][C]18067.2531162081[/C][C]697.112722977889[/C][/ROW]
[ROW][C]0.22[/C][C]18226.9462612474[/C][C]717.812432401569[/C][/ROW]
[ROW][C]0.23[/C][C]18387.7869497197[/C][C]742.004336356882[/C][/ROW]
[ROW][C]0.24[/C][C]18550.4879401425[/C][C]766.273154710795[/C][/ROW]
[ROW][C]0.25[/C][C]18715.1010189093[/C][C]787.380781583525[/C][/ROW]
[ROW][C]0.26[/C][C]18881.057509371[/C][C]802.664184610704[/C][/ROW]
[ROW][C]0.27[/C][C]19047.2826284235[/C][C]810.046624403325[/C][/ROW]
[ROW][C]0.28[/C][C]19212.3564539732[/C][C]808.475295180306[/C][/ROW]
[ROW][C]0.29[/C][C]19374.6973305012[/C][C]797.60536171614[/C][/ROW]
[ROW][C]0.3[/C][C]19532.7483662633[/C][C]777.989298533409[/C][/ROW]
[ROW][C]0.31[/C][C]19685.1517046847[/C][C]750.999579101413[/C][/ROW]
[ROW][C]0.32[/C][C]19830.8975860303[/C][C]718.792933731255[/C][/ROW]
[ROW][C]0.33[/C][C]19969.43642639[/C][C]684.036329135637[/C][/ROW]
[ROW][C]0.34[/C][C]20100.7435365013[/C][C]649.884544672536[/C][/ROW]
[ROW][C]0.35[/C][C]20225.3288846317[/C][C]619.438232774653[/C][/ROW]
[ROW][C]0.36[/C][C]20344.1890002105[/C][C]595.588184089455[/C][/ROW]
[ROW][C]0.37[/C][C]20458.7044092069[/C][C]580.573985276945[/C][/ROW]
[ROW][C]0.38[/C][C]20570.4929350218[/C][C]575.508084296004[/C][/ROW]
[ROW][C]0.39[/C][C]20681.2355448013[/C][C]580.44055680611[/C][/ROW]
[ROW][C]0.4[/C][C]20792.495978293[/C][C]593.84447155253[/C][/ROW]
[ROW][C]0.41[/C][C]20905.5572676675[/C][C]613.379536664919[/C][/ROW]
[ROW][C]0.42[/C][C]21021.2969697092[/C][C]636.023637205573[/C][/ROW]
[ROW][C]0.43[/C][C]21140.1184864184[/C][C]658.636526358997[/C][/ROW]
[ROW][C]0.44[/C][C]21261.948716382[/C][C]678.286042473021[/C][/ROW]
[ROW][C]0.45[/C][C]21386.3033536356[/C][C]692.816385841136[/C][/ROW]
[ROW][C]0.46[/C][C]21512.4116602446[/C][C]700.965804973259[/C][/ROW]
[ROW][C]0.47[/C][C]21639.3838832862[/C][C]702.513852615783[/C][/ROW]
[ROW][C]0.48[/C][C]21766.398026003[/C][C]698.558545739937[/C][/ROW]
[ROW][C]0.49[/C][C]21892.8795002382[/C][C]691.083809534802[/C][/ROW]
[ROW][C]0.5[/C][C]22018.6478800069[/C][C]683.079371529512[/C][/ROW]
[ROW][C]0.51[/C][C]22144.0095202284[/C][C]677.879346827506[/C][/ROW]
[ROW][C]0.52[/C][C]22269.7825314611[/C][C]678.939261349876[/C][/ROW]
[ROW][C]0.53[/C][C]22397.2502963303[/C][C]689.181997532901[/C][/ROW]
[ROW][C]0.54[/C][C]22528.0498220745[/C][C]710.381162893167[/C][/ROW]
[ROW][C]0.55[/C][C]22664.0101297445[/C][C]743.116301959539[/C][/ROW]
[ROW][C]0.56[/C][C]22806.9622020243[/C][C]786.401984390631[/C][/ROW]
[ROW][C]0.57[/C][C]22958.5448597673[/C][C]838.074980244008[/C][/ROW]
[ROW][C]0.58[/C][C]23120.0300823537[/C][C]895.112318580635[/C][/ROW]
[ROW][C]0.59[/C][C]23292.1871858068[/C][C]954.037798295119[/C][/ROW]
[ROW][C]0.6[/C][C]23475.198940577[/C][C]1011.18603010726[/C][/ROW]
[ROW][C]0.61[/C][C]23668.635456736[/C][C]1063.12854605663[/C][/ROW]
[ROW][C]0.62[/C][C]23871.4847536496[/C][C]1106.95051747199[/C][/ROW]
[ROW][C]0.63[/C][C]24082.2332800778[/C][C]1140.23377360262[/C][/ROW]
[ROW][C]0.64[/C][C]24298.9856567514[/C][C]1161.44046280005[/C][/ROW]
[ROW][C]0.65[/C][C]24519.6104933149[/C][C]1169.80909563959[/C][/ROW]
[ROW][C]0.66[/C][C]24741.8979508342[/C][C]1165.41358323554[/C][/ROW]
[ROW][C]0.67[/C][C]24963.7145110928[/C][C]1149.1537797569[/C][/ROW]
[ROW][C]0.68[/C][C]25183.141206168[/C][C]1122.68434310543[/C][/ROW]
[ROW][C]0.69[/C][C]25398.5836915316[/C][C]1088.10408903798[/C][/ROW]
[ROW][C]0.7[/C][C]25608.8463804561[/C][C]1047.92722886418[/C][/ROW]
[ROW][C]0.71[/C][C]25813.1683626262[/C][C]1004.66287938302[/C][/ROW]
[ROW][C]0.72[/C][C]26011.2252162223[/C][C]960.684265326339[/C][/ROW]
[ROW][C]0.73[/C][C]26203.1065291717[/C][C]918.015087199767[/C][/ROW]
[ROW][C]0.74[/C][C]26389.2820809952[/C][C]878.285954754774[/C][/ROW]
[ROW][C]0.75[/C][C]26570.5687623031[/C][C]842.835801943132[/C][/ROW]
[ROW][C]0.76[/C][C]26748.1052095937[/C][C]812.852789053703[/C][/ROW]
[ROW][C]0.77[/C][C]26923.3331722054[/C][C]789.422511349578[/C][/ROW]
[ROW][C]0.78[/C][C]27097.9764479756[/C][C]773.654909909505[/C][/ROW]
[ROW][C]0.79[/C][C]27274.0029096532[/C][C]766.403871959787[/C][/ROW]
[ROW][C]0.8[/C][C]27453.5552944761[/C][C]768.18411047356[/C][/ROW]
[ROW][C]0.81[/C][C]27638.8435898864[/C][C]778.725099392058[/C][/ROW]
[ROW][C]0.82[/C][C]27832.0063379934[/C][C]796.92997455161[/C][/ROW]
[ROW][C]0.83[/C][C]28034.9686810546[/C][C]820.806679132684[/C][/ROW]
[ROW][C]0.84[/C][C]28249.3469388548[/C][C]847.734632983489[/C][/ROW]
[ROW][C]0.85[/C][C]28476.4623813366[/C][C]874.984969740436[/C][/ROW]
[ROW][C]0.86[/C][C]28717.5124924732[/C][C]900.642655484339[/C][/ROW]
[ROW][C]0.87[/C][C]28973.8860846766[/C][C]924.465218977059[/C][/ROW]
[ROW][C]0.88[/C][C]29247.4954046598[/C][C]948.471385288706[/C][/ROW]
[ROW][C]0.89[/C][C]29540.8783404691[/C][C]976.200386270047[/C][/ROW]
[ROW][C]0.9[/C][C]29856.8138356405[/C][C]1009.848321689[/C][/ROW]
[ROW][C]0.91[/C][C]30197.4526314123[/C][C]1045.91233865841[/C][/ROW]
[ROW][C]0.92[/C][C]30563.555994976[/C][C]1073.15602092443[/C][/ROW]
[ROW][C]0.93[/C][C]30955.0878440928[/C][C]1077.55646808928[/C][/ROW]
[ROW][C]0.94[/C][C]31374.368428[/C][C]1055.42644335496[/C][/ROW]
[ROW][C]0.95[/C][C]31831.2923676577[/C][C]1027.88869174093[/C][/ROW]
[ROW][C]0.96[/C][C]32346.2807992784[/C][C]1035.73684972226[/C][/ROW]
[ROW][C]0.97[/C][C]32941.498496297[/C][C]1092.28316337048[/C][/ROW]
[ROW][C]0.98[/C][C]33608.1180089[/C][C]1149.60593377012[/C][/ROW]
[ROW][C]0.99[/C][C]34250.8982821691[/C][C]1169.71206117046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238592&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238592&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
0.0110804.1747277561027.70985228499
0.0211418.83907083561216.89670134629
0.0312159.00911042481535.4409939411
0.0412939.15431123521717.78245243956
0.0513691.34900015891668.19099953376
0.0614360.05495409961450.00737568337
0.0714914.92048597121179.72146332459
0.0815355.6103506427949.970715948871
0.0915702.9291668212802.44448610957
0.115985.0738568808733.39096737432
0.1116227.234805459715.014580628181
0.1216447.030288674718.574388155284
0.1316654.4034315836725.10804764752
0.1416853.6595975469725.65428034108
0.1517045.905348804718.321051601352
0.1617231.0174953033705.432813898166
0.1717408.8900283659691.426664688482
0.1817580.021167013680.898756540907
0.1917745.6158205992677.475095102531
0.217907.3920529863682.991767295598
0.2118067.2531162081697.112722977889
0.2218226.9462612474717.812432401569
0.2318387.7869497197742.004336356882
0.2418550.4879401425766.273154710795
0.2518715.1010189093787.380781583525
0.2618881.057509371802.664184610704
0.2719047.2826284235810.046624403325
0.2819212.3564539732808.475295180306
0.2919374.6973305012797.60536171614
0.319532.7483662633777.989298533409
0.3119685.1517046847750.999579101413
0.3219830.8975860303718.792933731255
0.3319969.43642639684.036329135637
0.3420100.7435365013649.884544672536
0.3520225.3288846317619.438232774653
0.3620344.1890002105595.588184089455
0.3720458.7044092069580.573985276945
0.3820570.4929350218575.508084296004
0.3920681.2355448013580.44055680611
0.420792.495978293593.84447155253
0.4120905.5572676675613.379536664919
0.4221021.2969697092636.023637205573
0.4321140.1184864184658.636526358997
0.4421261.948716382678.286042473021
0.4521386.3033536356692.816385841136
0.4621512.4116602446700.965804973259
0.4721639.3838832862702.513852615783
0.4821766.398026003698.558545739937
0.4921892.8795002382691.083809534802
0.522018.6478800069683.079371529512
0.5122144.0095202284677.879346827506
0.5222269.7825314611678.939261349876
0.5322397.2502963303689.181997532901
0.5422528.0498220745710.381162893167
0.5522664.0101297445743.116301959539
0.5622806.9622020243786.401984390631
0.5722958.5448597673838.074980244008
0.5823120.0300823537895.112318580635
0.5923292.1871858068954.037798295119
0.623475.1989405771011.18603010726
0.6123668.6354567361063.12854605663
0.6223871.48475364961106.95051747199
0.6324082.23328007781140.23377360262
0.6424298.98565675141161.44046280005
0.6524519.61049331491169.80909563959
0.6624741.89795083421165.41358323554
0.6724963.71451109281149.1537797569
0.6825183.1412061681122.68434310543
0.6925398.58369153161088.10408903798
0.725608.84638045611047.92722886418
0.7125813.16836262621004.66287938302
0.7226011.2252162223960.684265326339
0.7326203.1065291717918.015087199767
0.7426389.2820809952878.285954754774
0.7526570.5687623031842.835801943132
0.7626748.1052095937812.852789053703
0.7726923.3331722054789.422511349578
0.7827097.9764479756773.654909909505
0.7927274.0029096532766.403871959787
0.827453.5552944761768.18411047356
0.8127638.8435898864778.725099392058
0.8227832.0063379934796.92997455161
0.8328034.9686810546820.806679132684
0.8428249.3469388548847.734632983489
0.8528476.4623813366874.984969740436
0.8628717.5124924732900.642655484339
0.8728973.8860846766924.465218977059
0.8829247.4954046598948.471385288706
0.8929540.8783404691976.200386270047
0.929856.81383564051009.848321689
0.9130197.45263141231045.91233865841
0.9230563.5559949761073.15602092443
0.9330955.08784409281077.55646808928
0.9431374.3684281055.42644335496
0.9531831.29236765771027.88869174093
0.9632346.28079927841035.73684972226
0.9732941.4984962971092.28316337048
0.9833608.11800891149.60593377012
0.9934250.89828216911169.71206117046


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')