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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 computationMon, 02 May 2016 20:06:31 +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/2016/May/02/t1462216020y02zucekirqd6eq.htm/, Retrieved Sun, 05 May 2024 13:48:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295150, Retrieved Sun, 05 May 2024 13:48:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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] [] [2016-05-02 19:06:31] [517bf63cbd197750110a40d4d2cd39d6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
74787
49019
56601
47637
49806
50499
42092
39062
44382
43635
41082
17244
70170
43949
52333
41032
47758
76116
30917
32996
31951
26775
30268
18214
47957
31901
35559
30408
30083
35043
30475
28309
31394
36313
40357
38918
44368
33298
29366
28282
30943
32699
29764
25524
29807
35112
32192
36214
47639
33421
28642
26996
27757
36839
33821
30839
35032
38821
40347
68799

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295150&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295150&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117891.43535525552076.73438479917
0.0219120.51181553073388.1240577432
0.0320715.87861060494019.8072417651
0.0422384.50512404633859.41279686893
0.0523892.83651068333223.90432522714
0.0625123.19026066562478.18726443077
0.0726061.42259028971849.41853343537
0.0826754.07403652221413.65467775136
0.0927267.19878077691151.70533318087
0.127661.02506073021008.94684363546
0.1127980.2537483035934.817829673753
0.1228253.9661649963896.078644961576
0.1328499.3320174505873.543019285213
0.1428725.6868801009856.089691474416
0.1528937.6799147691837.149705755942
0.1629137.3666338672813.409028681236
0.1729325.5208718548784.171385056057
0.1829502.4490458451750.840323762836
0.1929668.4874975794716.151848273155
0.229824.2781016036683.382680613414
0.2129970.876356835655.677862153585
0.2230109.7358276846635.5442531392
0.2330242.6127336446624.587032314424
0.2430371.4322001717623.495869351667
0.2530498.1498389005632.04695686418
0.2630624.6310568077649.509851383526
0.2730752.5593738347674.671535916719
0.2830883.3765905588706.06582140526
0.2931018.2526506677742.218682464835
0.331158.0808657662781.632953517695
0.3131303.4936121612822.996413546113
0.3231454.8935874557865.187517870054
0.3331612.4956295537907.443300629865
0.3431776.3738740452949.199090353137
0.3531946.508925645990.242888629924
0.3632122.83010803991030.59453424582
0.3732305.24897399521070.37216018939
0.3832493.68209498611109.71564348307
0.3932688.0634291661148.84975739948
0.432888.34881056571187.79934407173
0.4133094.51676018361226.63664404745
0.4233306.57041519591265.22597905178
0.4333524.54464089551303.60486319596
0.4433748.52037125361341.8729986569
0.4533978.64529267731380.41261260582
0.4634215.15680167851419.83532279722
0.4734458.4005504271460.93913926652
0.4834708.83663985191504.77975938611
0.4934967.02619497831552.12544358483
0.535233.59382511161603.61084870101
0.5135509.16599708671659.29768128869
0.5235794.29081808591718.30161026992
0.5336089.34998310441779.22209457724
0.5436394.4774427661839.85752533188
0.5536709.50063424391897.68792895556
0.5637033.91829523771950.0274908066
0.5737366.92398952471994.66579491625
0.5837707.47723288772030.02519878138
0.5938054.41580791632055.41468399231
0.638406.59510293552071.40441931671
0.6138763.03469707282079.58990092198
0.6239123.05016463172082.50843595918
0.6339486.34974581272083.25395492215
0.6439853.08084916692085.0326376501
0.6540223.8192103812090.80197195439
0.6640599.50222294652102.70576319844
0.6740981.31557759672121.80540275471
0.6841370.5473407512148.10684474834
0.6941768.42527524552180.43347440475
0.742175.95206184432216.74108192628
0.7142593.75076834442254.41760656656
0.7243021.93171202792290.34156978383
0.7343459.99374863422321.02652066085
0.7443906.77863695022342.75080972154
0.7544360.50509833412351.91072249778
0.7644818.91629782252345.29010506552
0.7745279.57690598232320.88525135105
0.7845740.35127446752278.8811429627
0.7946200.08345970872222.69561726517
0.846659.48725115492160.03766452579
0.8147122.2452007892103.77011276958
0.8247596.30991870872072.55790462879
0.8348095.38575649492091.28736628463
0.8448640.51382061162190.86296847092
0.8549261.54458010482406.53761886462
0.8649998.02686539692773.80900816898
0.8750898.6917301653321.62883405547
0.8852018.39853260224061.63214281103
0.8953411.41670763794973.73370129284
0.955120.60142253295990.46480002661
0.9157163.60800157436987.26739919709
0.9259519.49767705427790.5551772443
0.9362120.83565763618212.74860690144
0.9464856.00375674278112.23807356592
0.9567582.77011472147454.51582248444
0.9670148.13655384466332.96218812742
0.9772405.09701906054921.78368038334
0.9874219.92477477533412.08153863683
0.9975477.88391957772064.49158994047

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17891.4353552555 & 2076.73438479917 \tabularnewline
0.02 & 19120.5118155307 & 3388.1240577432 \tabularnewline
0.03 & 20715.8786106049 & 4019.8072417651 \tabularnewline
0.04 & 22384.5051240463 & 3859.41279686893 \tabularnewline
0.05 & 23892.8365106833 & 3223.90432522714 \tabularnewline
0.06 & 25123.1902606656 & 2478.18726443077 \tabularnewline
0.07 & 26061.4225902897 & 1849.41853343537 \tabularnewline
0.08 & 26754.0740365222 & 1413.65467775136 \tabularnewline
0.09 & 27267.1987807769 & 1151.70533318087 \tabularnewline
0.1 & 27661.0250607302 & 1008.94684363546 \tabularnewline
0.11 & 27980.2537483035 & 934.817829673753 \tabularnewline
0.12 & 28253.9661649963 & 896.078644961576 \tabularnewline
0.13 & 28499.3320174505 & 873.543019285213 \tabularnewline
0.14 & 28725.6868801009 & 856.089691474416 \tabularnewline
0.15 & 28937.6799147691 & 837.149705755942 \tabularnewline
0.16 & 29137.3666338672 & 813.409028681236 \tabularnewline
0.17 & 29325.5208718548 & 784.171385056057 \tabularnewline
0.18 & 29502.4490458451 & 750.840323762836 \tabularnewline
0.19 & 29668.4874975794 & 716.151848273155 \tabularnewline
0.2 & 29824.2781016036 & 683.382680613414 \tabularnewline
0.21 & 29970.876356835 & 655.677862153585 \tabularnewline
0.22 & 30109.7358276846 & 635.5442531392 \tabularnewline
0.23 & 30242.6127336446 & 624.587032314424 \tabularnewline
0.24 & 30371.4322001717 & 623.495869351667 \tabularnewline
0.25 & 30498.1498389005 & 632.04695686418 \tabularnewline
0.26 & 30624.6310568077 & 649.509851383526 \tabularnewline
0.27 & 30752.5593738347 & 674.671535916719 \tabularnewline
0.28 & 30883.3765905588 & 706.06582140526 \tabularnewline
0.29 & 31018.2526506677 & 742.218682464835 \tabularnewline
0.3 & 31158.0808657662 & 781.632953517695 \tabularnewline
0.31 & 31303.4936121612 & 822.996413546113 \tabularnewline
0.32 & 31454.8935874557 & 865.187517870054 \tabularnewline
0.33 & 31612.4956295537 & 907.443300629865 \tabularnewline
0.34 & 31776.3738740452 & 949.199090353137 \tabularnewline
0.35 & 31946.508925645 & 990.242888629924 \tabularnewline
0.36 & 32122.8301080399 & 1030.59453424582 \tabularnewline
0.37 & 32305.2489739952 & 1070.37216018939 \tabularnewline
0.38 & 32493.6820949861 & 1109.71564348307 \tabularnewline
0.39 & 32688.063429166 & 1148.84975739948 \tabularnewline
0.4 & 32888.3488105657 & 1187.79934407173 \tabularnewline
0.41 & 33094.5167601836 & 1226.63664404745 \tabularnewline
0.42 & 33306.5704151959 & 1265.22597905178 \tabularnewline
0.43 & 33524.5446408955 & 1303.60486319596 \tabularnewline
0.44 & 33748.5203712536 & 1341.8729986569 \tabularnewline
0.45 & 33978.6452926773 & 1380.41261260582 \tabularnewline
0.46 & 34215.1568016785 & 1419.83532279722 \tabularnewline
0.47 & 34458.400550427 & 1460.93913926652 \tabularnewline
0.48 & 34708.8366398519 & 1504.77975938611 \tabularnewline
0.49 & 34967.0261949783 & 1552.12544358483 \tabularnewline
0.5 & 35233.5938251116 & 1603.61084870101 \tabularnewline
0.51 & 35509.1659970867 & 1659.29768128869 \tabularnewline
0.52 & 35794.2908180859 & 1718.30161026992 \tabularnewline
0.53 & 36089.3499831044 & 1779.22209457724 \tabularnewline
0.54 & 36394.477442766 & 1839.85752533188 \tabularnewline
0.55 & 36709.5006342439 & 1897.68792895556 \tabularnewline
0.56 & 37033.9182952377 & 1950.0274908066 \tabularnewline
0.57 & 37366.9239895247 & 1994.66579491625 \tabularnewline
0.58 & 37707.4772328877 & 2030.02519878138 \tabularnewline
0.59 & 38054.4158079163 & 2055.41468399231 \tabularnewline
0.6 & 38406.5951029355 & 2071.40441931671 \tabularnewline
0.61 & 38763.0346970728 & 2079.58990092198 \tabularnewline
0.62 & 39123.0501646317 & 2082.50843595918 \tabularnewline
0.63 & 39486.3497458127 & 2083.25395492215 \tabularnewline
0.64 & 39853.0808491669 & 2085.0326376501 \tabularnewline
0.65 & 40223.819210381 & 2090.80197195439 \tabularnewline
0.66 & 40599.5022229465 & 2102.70576319844 \tabularnewline
0.67 & 40981.3155775967 & 2121.80540275471 \tabularnewline
0.68 & 41370.547340751 & 2148.10684474834 \tabularnewline
0.69 & 41768.4252752455 & 2180.43347440475 \tabularnewline
0.7 & 42175.9520618443 & 2216.74108192628 \tabularnewline
0.71 & 42593.7507683444 & 2254.41760656656 \tabularnewline
0.72 & 43021.9317120279 & 2290.34156978383 \tabularnewline
0.73 & 43459.9937486342 & 2321.02652066085 \tabularnewline
0.74 & 43906.7786369502 & 2342.75080972154 \tabularnewline
0.75 & 44360.5050983341 & 2351.91072249778 \tabularnewline
0.76 & 44818.9162978225 & 2345.29010506552 \tabularnewline
0.77 & 45279.5769059823 & 2320.88525135105 \tabularnewline
0.78 & 45740.3512744675 & 2278.8811429627 \tabularnewline
0.79 & 46200.0834597087 & 2222.69561726517 \tabularnewline
0.8 & 46659.4872511549 & 2160.03766452579 \tabularnewline
0.81 & 47122.245200789 & 2103.77011276958 \tabularnewline
0.82 & 47596.3099187087 & 2072.55790462879 \tabularnewline
0.83 & 48095.3857564949 & 2091.28736628463 \tabularnewline
0.84 & 48640.5138206116 & 2190.86296847092 \tabularnewline
0.85 & 49261.5445801048 & 2406.53761886462 \tabularnewline
0.86 & 49998.0268653969 & 2773.80900816898 \tabularnewline
0.87 & 50898.691730165 & 3321.62883405547 \tabularnewline
0.88 & 52018.3985326022 & 4061.63214281103 \tabularnewline
0.89 & 53411.4167076379 & 4973.73370129284 \tabularnewline
0.9 & 55120.6014225329 & 5990.46480002661 \tabularnewline
0.91 & 57163.6080015743 & 6987.26739919709 \tabularnewline
0.92 & 59519.4976770542 & 7790.5551772443 \tabularnewline
0.93 & 62120.8356576361 & 8212.74860690144 \tabularnewline
0.94 & 64856.0037567427 & 8112.23807356592 \tabularnewline
0.95 & 67582.7701147214 & 7454.51582248444 \tabularnewline
0.96 & 70148.1365538446 & 6332.96218812742 \tabularnewline
0.97 & 72405.0970190605 & 4921.78368038334 \tabularnewline
0.98 & 74219.9247747753 & 3412.08153863683 \tabularnewline
0.99 & 75477.8839195777 & 2064.49158994047 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295150&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]17891.4353552555[/C][C]2076.73438479917[/C][/ROW]
[ROW][C]0.02[/C][C]19120.5118155307[/C][C]3388.1240577432[/C][/ROW]
[ROW][C]0.03[/C][C]20715.8786106049[/C][C]4019.8072417651[/C][/ROW]
[ROW][C]0.04[/C][C]22384.5051240463[/C][C]3859.41279686893[/C][/ROW]
[ROW][C]0.05[/C][C]23892.8365106833[/C][C]3223.90432522714[/C][/ROW]
[ROW][C]0.06[/C][C]25123.1902606656[/C][C]2478.18726443077[/C][/ROW]
[ROW][C]0.07[/C][C]26061.4225902897[/C][C]1849.41853343537[/C][/ROW]
[ROW][C]0.08[/C][C]26754.0740365222[/C][C]1413.65467775136[/C][/ROW]
[ROW][C]0.09[/C][C]27267.1987807769[/C][C]1151.70533318087[/C][/ROW]
[ROW][C]0.1[/C][C]27661.0250607302[/C][C]1008.94684363546[/C][/ROW]
[ROW][C]0.11[/C][C]27980.2537483035[/C][C]934.817829673753[/C][/ROW]
[ROW][C]0.12[/C][C]28253.9661649963[/C][C]896.078644961576[/C][/ROW]
[ROW][C]0.13[/C][C]28499.3320174505[/C][C]873.543019285213[/C][/ROW]
[ROW][C]0.14[/C][C]28725.6868801009[/C][C]856.089691474416[/C][/ROW]
[ROW][C]0.15[/C][C]28937.6799147691[/C][C]837.149705755942[/C][/ROW]
[ROW][C]0.16[/C][C]29137.3666338672[/C][C]813.409028681236[/C][/ROW]
[ROW][C]0.17[/C][C]29325.5208718548[/C][C]784.171385056057[/C][/ROW]
[ROW][C]0.18[/C][C]29502.4490458451[/C][C]750.840323762836[/C][/ROW]
[ROW][C]0.19[/C][C]29668.4874975794[/C][C]716.151848273155[/C][/ROW]
[ROW][C]0.2[/C][C]29824.2781016036[/C][C]683.382680613414[/C][/ROW]
[ROW][C]0.21[/C][C]29970.876356835[/C][C]655.677862153585[/C][/ROW]
[ROW][C]0.22[/C][C]30109.7358276846[/C][C]635.5442531392[/C][/ROW]
[ROW][C]0.23[/C][C]30242.6127336446[/C][C]624.587032314424[/C][/ROW]
[ROW][C]0.24[/C][C]30371.4322001717[/C][C]623.495869351667[/C][/ROW]
[ROW][C]0.25[/C][C]30498.1498389005[/C][C]632.04695686418[/C][/ROW]
[ROW][C]0.26[/C][C]30624.6310568077[/C][C]649.509851383526[/C][/ROW]
[ROW][C]0.27[/C][C]30752.5593738347[/C][C]674.671535916719[/C][/ROW]
[ROW][C]0.28[/C][C]30883.3765905588[/C][C]706.06582140526[/C][/ROW]
[ROW][C]0.29[/C][C]31018.2526506677[/C][C]742.218682464835[/C][/ROW]
[ROW][C]0.3[/C][C]31158.0808657662[/C][C]781.632953517695[/C][/ROW]
[ROW][C]0.31[/C][C]31303.4936121612[/C][C]822.996413546113[/C][/ROW]
[ROW][C]0.32[/C][C]31454.8935874557[/C][C]865.187517870054[/C][/ROW]
[ROW][C]0.33[/C][C]31612.4956295537[/C][C]907.443300629865[/C][/ROW]
[ROW][C]0.34[/C][C]31776.3738740452[/C][C]949.199090353137[/C][/ROW]
[ROW][C]0.35[/C][C]31946.508925645[/C][C]990.242888629924[/C][/ROW]
[ROW][C]0.36[/C][C]32122.8301080399[/C][C]1030.59453424582[/C][/ROW]
[ROW][C]0.37[/C][C]32305.2489739952[/C][C]1070.37216018939[/C][/ROW]
[ROW][C]0.38[/C][C]32493.6820949861[/C][C]1109.71564348307[/C][/ROW]
[ROW][C]0.39[/C][C]32688.063429166[/C][C]1148.84975739948[/C][/ROW]
[ROW][C]0.4[/C][C]32888.3488105657[/C][C]1187.79934407173[/C][/ROW]
[ROW][C]0.41[/C][C]33094.5167601836[/C][C]1226.63664404745[/C][/ROW]
[ROW][C]0.42[/C][C]33306.5704151959[/C][C]1265.22597905178[/C][/ROW]
[ROW][C]0.43[/C][C]33524.5446408955[/C][C]1303.60486319596[/C][/ROW]
[ROW][C]0.44[/C][C]33748.5203712536[/C][C]1341.8729986569[/C][/ROW]
[ROW][C]0.45[/C][C]33978.6452926773[/C][C]1380.41261260582[/C][/ROW]
[ROW][C]0.46[/C][C]34215.1568016785[/C][C]1419.83532279722[/C][/ROW]
[ROW][C]0.47[/C][C]34458.400550427[/C][C]1460.93913926652[/C][/ROW]
[ROW][C]0.48[/C][C]34708.8366398519[/C][C]1504.77975938611[/C][/ROW]
[ROW][C]0.49[/C][C]34967.0261949783[/C][C]1552.12544358483[/C][/ROW]
[ROW][C]0.5[/C][C]35233.5938251116[/C][C]1603.61084870101[/C][/ROW]
[ROW][C]0.51[/C][C]35509.1659970867[/C][C]1659.29768128869[/C][/ROW]
[ROW][C]0.52[/C][C]35794.2908180859[/C][C]1718.30161026992[/C][/ROW]
[ROW][C]0.53[/C][C]36089.3499831044[/C][C]1779.22209457724[/C][/ROW]
[ROW][C]0.54[/C][C]36394.477442766[/C][C]1839.85752533188[/C][/ROW]
[ROW][C]0.55[/C][C]36709.5006342439[/C][C]1897.68792895556[/C][/ROW]
[ROW][C]0.56[/C][C]37033.9182952377[/C][C]1950.0274908066[/C][/ROW]
[ROW][C]0.57[/C][C]37366.9239895247[/C][C]1994.66579491625[/C][/ROW]
[ROW][C]0.58[/C][C]37707.4772328877[/C][C]2030.02519878138[/C][/ROW]
[ROW][C]0.59[/C][C]38054.4158079163[/C][C]2055.41468399231[/C][/ROW]
[ROW][C]0.6[/C][C]38406.5951029355[/C][C]2071.40441931671[/C][/ROW]
[ROW][C]0.61[/C][C]38763.0346970728[/C][C]2079.58990092198[/C][/ROW]
[ROW][C]0.62[/C][C]39123.0501646317[/C][C]2082.50843595918[/C][/ROW]
[ROW][C]0.63[/C][C]39486.3497458127[/C][C]2083.25395492215[/C][/ROW]
[ROW][C]0.64[/C][C]39853.0808491669[/C][C]2085.0326376501[/C][/ROW]
[ROW][C]0.65[/C][C]40223.819210381[/C][C]2090.80197195439[/C][/ROW]
[ROW][C]0.66[/C][C]40599.5022229465[/C][C]2102.70576319844[/C][/ROW]
[ROW][C]0.67[/C][C]40981.3155775967[/C][C]2121.80540275471[/C][/ROW]
[ROW][C]0.68[/C][C]41370.547340751[/C][C]2148.10684474834[/C][/ROW]
[ROW][C]0.69[/C][C]41768.4252752455[/C][C]2180.43347440475[/C][/ROW]
[ROW][C]0.7[/C][C]42175.9520618443[/C][C]2216.74108192628[/C][/ROW]
[ROW][C]0.71[/C][C]42593.7507683444[/C][C]2254.41760656656[/C][/ROW]
[ROW][C]0.72[/C][C]43021.9317120279[/C][C]2290.34156978383[/C][/ROW]
[ROW][C]0.73[/C][C]43459.9937486342[/C][C]2321.02652066085[/C][/ROW]
[ROW][C]0.74[/C][C]43906.7786369502[/C][C]2342.75080972154[/C][/ROW]
[ROW][C]0.75[/C][C]44360.5050983341[/C][C]2351.91072249778[/C][/ROW]
[ROW][C]0.76[/C][C]44818.9162978225[/C][C]2345.29010506552[/C][/ROW]
[ROW][C]0.77[/C][C]45279.5769059823[/C][C]2320.88525135105[/C][/ROW]
[ROW][C]0.78[/C][C]45740.3512744675[/C][C]2278.8811429627[/C][/ROW]
[ROW][C]0.79[/C][C]46200.0834597087[/C][C]2222.69561726517[/C][/ROW]
[ROW][C]0.8[/C][C]46659.4872511549[/C][C]2160.03766452579[/C][/ROW]
[ROW][C]0.81[/C][C]47122.245200789[/C][C]2103.77011276958[/C][/ROW]
[ROW][C]0.82[/C][C]47596.3099187087[/C][C]2072.55790462879[/C][/ROW]
[ROW][C]0.83[/C][C]48095.3857564949[/C][C]2091.28736628463[/C][/ROW]
[ROW][C]0.84[/C][C]48640.5138206116[/C][C]2190.86296847092[/C][/ROW]
[ROW][C]0.85[/C][C]49261.5445801048[/C][C]2406.53761886462[/C][/ROW]
[ROW][C]0.86[/C][C]49998.0268653969[/C][C]2773.80900816898[/C][/ROW]
[ROW][C]0.87[/C][C]50898.691730165[/C][C]3321.62883405547[/C][/ROW]
[ROW][C]0.88[/C][C]52018.3985326022[/C][C]4061.63214281103[/C][/ROW]
[ROW][C]0.89[/C][C]53411.4167076379[/C][C]4973.73370129284[/C][/ROW]
[ROW][C]0.9[/C][C]55120.6014225329[/C][C]5990.46480002661[/C][/ROW]
[ROW][C]0.91[/C][C]57163.6080015743[/C][C]6987.26739919709[/C][/ROW]
[ROW][C]0.92[/C][C]59519.4976770542[/C][C]7790.5551772443[/C][/ROW]
[ROW][C]0.93[/C][C]62120.8356576361[/C][C]8212.74860690144[/C][/ROW]
[ROW][C]0.94[/C][C]64856.0037567427[/C][C]8112.23807356592[/C][/ROW]
[ROW][C]0.95[/C][C]67582.7701147214[/C][C]7454.51582248444[/C][/ROW]
[ROW][C]0.96[/C][C]70148.1365538446[/C][C]6332.96218812742[/C][/ROW]
[ROW][C]0.97[/C][C]72405.0970190605[/C][C]4921.78368038334[/C][/ROW]
[ROW][C]0.98[/C][C]74219.9247747753[/C][C]3412.08153863683[/C][/ROW]
[ROW][C]0.99[/C][C]75477.8839195777[/C][C]2064.49158994047[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295150&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295150&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
0.0117891.43535525552076.73438479917
0.0219120.51181553073388.1240577432
0.0320715.87861060494019.8072417651
0.0422384.50512404633859.41279686893
0.0523892.83651068333223.90432522714
0.0625123.19026066562478.18726443077
0.0726061.42259028971849.41853343537
0.0826754.07403652221413.65467775136
0.0927267.19878077691151.70533318087
0.127661.02506073021008.94684363546
0.1127980.2537483035934.817829673753
0.1228253.9661649963896.078644961576
0.1328499.3320174505873.543019285213
0.1428725.6868801009856.089691474416
0.1528937.6799147691837.149705755942
0.1629137.3666338672813.409028681236
0.1729325.5208718548784.171385056057
0.1829502.4490458451750.840323762836
0.1929668.4874975794716.151848273155
0.229824.2781016036683.382680613414
0.2129970.876356835655.677862153585
0.2230109.7358276846635.5442531392
0.2330242.6127336446624.587032314424
0.2430371.4322001717623.495869351667
0.2530498.1498389005632.04695686418
0.2630624.6310568077649.509851383526
0.2730752.5593738347674.671535916719
0.2830883.3765905588706.06582140526
0.2931018.2526506677742.218682464835
0.331158.0808657662781.632953517695
0.3131303.4936121612822.996413546113
0.3231454.8935874557865.187517870054
0.3331612.4956295537907.443300629865
0.3431776.3738740452949.199090353137
0.3531946.508925645990.242888629924
0.3632122.83010803991030.59453424582
0.3732305.24897399521070.37216018939
0.3832493.68209498611109.71564348307
0.3932688.0634291661148.84975739948
0.432888.34881056571187.79934407173
0.4133094.51676018361226.63664404745
0.4233306.57041519591265.22597905178
0.4333524.54464089551303.60486319596
0.4433748.52037125361341.8729986569
0.4533978.64529267731380.41261260582
0.4634215.15680167851419.83532279722
0.4734458.4005504271460.93913926652
0.4834708.83663985191504.77975938611
0.4934967.02619497831552.12544358483
0.535233.59382511161603.61084870101
0.5135509.16599708671659.29768128869
0.5235794.29081808591718.30161026992
0.5336089.34998310441779.22209457724
0.5436394.4774427661839.85752533188
0.5536709.50063424391897.68792895556
0.5637033.91829523771950.0274908066
0.5737366.92398952471994.66579491625
0.5837707.47723288772030.02519878138
0.5938054.41580791632055.41468399231
0.638406.59510293552071.40441931671
0.6138763.03469707282079.58990092198
0.6239123.05016463172082.50843595918
0.6339486.34974581272083.25395492215
0.6439853.08084916692085.0326376501
0.6540223.8192103812090.80197195439
0.6640599.50222294652102.70576319844
0.6740981.31557759672121.80540275471
0.6841370.5473407512148.10684474834
0.6941768.42527524552180.43347440475
0.742175.95206184432216.74108192628
0.7142593.75076834442254.41760656656
0.7243021.93171202792290.34156978383
0.7343459.99374863422321.02652066085
0.7443906.77863695022342.75080972154
0.7544360.50509833412351.91072249778
0.7644818.91629782252345.29010506552
0.7745279.57690598232320.88525135105
0.7845740.35127446752278.8811429627
0.7946200.08345970872222.69561726517
0.846659.48725115492160.03766452579
0.8147122.2452007892103.77011276958
0.8247596.30991870872072.55790462879
0.8348095.38575649492091.28736628463
0.8448640.51382061162190.86296847092
0.8549261.54458010482406.53761886462
0.8649998.02686539692773.80900816898
0.8750898.6917301653321.62883405547
0.8852018.39853260224061.63214281103
0.8953411.41670763794973.73370129284
0.955120.60142253295990.46480002661
0.9157163.60800157436987.26739919709
0.9259519.49767705427790.5551772443
0.9362120.83565763618212.74860690144
0.9464856.00375674278112.23807356592
0.9567582.77011472147454.51582248444
0.9670148.13655384466332.96218812742
0.9772405.09701906054921.78368038334
0.9874219.92477477533412.08153863683
0.9975477.88391957772064.49158994047


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')