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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 computationThu, 02 Oct 2014 13:57:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/02/t1412254697bbc838a5m1r9o9q.htm/, Retrieved Sat, 11 May 2024 20:02:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237985, Retrieved Sat, 11 May 2024 20:02:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

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] [Werkloze beroepsb...] [2014-10-02 12:57:58] [30b408b6447afc100cbee3b5fe745b69] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82
80
76
73
70
68
67
64
69
69
67
57
67
69
67
66
65
56
57
53
58
59
60
59
65
62
61
62
57
51
45
46
48
49
48
43
51
54
57
60
58
61
62
62
64
68
70
73
79
84
82
78
78
76
73
71
71
70
74
72
80
80
80
79
82
71
75
74
76
82
85
82
92
93
93
99
98
89
96
94
99
108
113
115
126
131
134
134
137
139
139
134
133
135
130
133

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237985&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237985&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237985&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0143.93117178824961.73637246147793
0.0245.25517939681591.67244193875131
0.0346.51052982312211.758054790528
0.0447.63574263430491.88306489223491
0.0548.69159813010422.08385018189388
0.0649.73357875416092.33779155189441
0.0750.78730856193932.56679872013208
0.0851.84721581325572.70537609629657
0.0952.88572837715512.71890829086117
0.153.86725944928552.60451740995489
0.1154.76100134795112.39046379463038
0.1255.54952803160282.12849495394195
0.1356.23203999027061.87761370941699
0.1456.82230207409151.68546707402987
0.1557.34286058863271.57433330731674
0.1657.81819502187141.53849636165449
0.1758.26927236256581.5546789754564
0.1858.71078229534161.59674201063335
0.1959.15098592322331.64532093047852
0.259.59326689159121.69022798207054
0.2160.03828408246631.72956310837095
0.2260.48587805937831.76651116112766
0.2360.93628401095521.806633997536
0.2461.39055408194841.85456655231881
0.2561.85032330834761.91192188844626
0.2662.31717470433921.9759795331087
0.2762.79189714029342.04030203528234
0.2863.27390217168572.09632531324588
0.2963.76098460686862.13565940535463
0.364.24949457959552.15185137422931
0.3164.73486587079612.14262289641411
0.3265.21235014482172.10934601958114
0.3365.67776493606462.05695613463657
0.3466.1280814606851.99252523175157
0.3566.56174348018791.92428206521978
0.3666.97869404676141.85904367622646
0.3767.38016401868881.80241578557199
0.3867.76832322307341.75748480378911
0.3968.14590379453471.72572314483241
0.468.51588089914021.70708888500702
0.4168.88125357584821.70123886101039
0.4269.24492544137441.70753731461393
0.4369.60965553699741.72560278330999
0.4469.97803992899171.75488523929599
0.4570.35249263783771.79475319278625
0.4670.73521190001611.84392843538133
0.4771.12813474356721.90110744885363
0.4871.53289190074741.96423577646462
0.4971.95077370194272.03181139097564
0.572.38270852574842.10172583482399
0.5172.82924469905852.17249360280542
0.5273.29052091456982.24207733657508
0.5373.76621333729042.30851870607892
0.5474.25545972082732.36906473576563
0.5574.75677827877632.42043711093625
0.5675.26801561705962.45913302966719
0.5775.78636749873462.48178744335986
0.5876.30851448134482.48584514579636
0.5976.83090100855182.47044786653383
0.677.35016457104172.4370790107585
0.6177.86369674380382.38989894448282
0.6278.37029581967982.33681444522534
0.6378.87085391168582.28872686600293
0.6479.3690075252912.25971253799552
0.6579.87166391451142.26623228438892
0.6680.38929179987882.32607866192112
0.6780.9358389939772.45569840680182
0.6881.52813031945692.66738018234458
0.6982.18463823941232.96432315085978
0.782.92363582536173.33939601300487
0.7183.76094351017573.77268783763786
0.7284.70772980997414.23414037568639
0.7385.76903539223784.68860923503842
0.7486.94374614918385.10406536306825
0.7588.22654985914955.46107957354618
0.7689.61194852834395.7617960436707
0.7791.09974135387136.03610132544782
0.7892.70070906865726.33991783429816
0.7994.44072948034186.74549574405291
0.896.36142647840867.32015420557343
0.8198.51582320205138.09966726059028
0.82100.9583701493649.06576788902182
0.83103.73009484922410.1347564664154
0.84106.84130330060711.1627570811236
0.85110.25592109260911.965102024693
0.86113.88263747269312.3510072409504
0.87117.57776607401312.1691643434607
0.88121.1625030248311.3550458783451
0.89124.4530281212069.96334218849116
0.9127.2968714914438.16890519570872
0.91129.6055915350016.22890968061066
0.92131.3744704265874.41768375118477
0.93132.6847058210942.96217833702997
0.94133.6887494422932.01211570596365
0.95134.5793492244781.6374242467778
0.96135.535890937171.72461129786897
0.97136.6388979221991.90561476551219
0.98137.7749445090021.72083992685935
0.99138.6419584598230.909874864894944

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 43.9311717882496 & 1.73637246147793 \tabularnewline
0.02 & 45.2551793968159 & 1.67244193875131 \tabularnewline
0.03 & 46.5105298231221 & 1.758054790528 \tabularnewline
0.04 & 47.6357426343049 & 1.88306489223491 \tabularnewline
0.05 & 48.6915981301042 & 2.08385018189388 \tabularnewline
0.06 & 49.7335787541609 & 2.33779155189441 \tabularnewline
0.07 & 50.7873085619393 & 2.56679872013208 \tabularnewline
0.08 & 51.8472158132557 & 2.70537609629657 \tabularnewline
0.09 & 52.8857283771551 & 2.71890829086117 \tabularnewline
0.1 & 53.8672594492855 & 2.60451740995489 \tabularnewline
0.11 & 54.7610013479511 & 2.39046379463038 \tabularnewline
0.12 & 55.5495280316028 & 2.12849495394195 \tabularnewline
0.13 & 56.2320399902706 & 1.87761370941699 \tabularnewline
0.14 & 56.8223020740915 & 1.68546707402987 \tabularnewline
0.15 & 57.3428605886327 & 1.57433330731674 \tabularnewline
0.16 & 57.8181950218714 & 1.53849636165449 \tabularnewline
0.17 & 58.2692723625658 & 1.5546789754564 \tabularnewline
0.18 & 58.7107822953416 & 1.59674201063335 \tabularnewline
0.19 & 59.1509859232233 & 1.64532093047852 \tabularnewline
0.2 & 59.5932668915912 & 1.69022798207054 \tabularnewline
0.21 & 60.0382840824663 & 1.72956310837095 \tabularnewline
0.22 & 60.4858780593783 & 1.76651116112766 \tabularnewline
0.23 & 60.9362840109552 & 1.806633997536 \tabularnewline
0.24 & 61.3905540819484 & 1.85456655231881 \tabularnewline
0.25 & 61.8503233083476 & 1.91192188844626 \tabularnewline
0.26 & 62.3171747043392 & 1.9759795331087 \tabularnewline
0.27 & 62.7918971402934 & 2.04030203528234 \tabularnewline
0.28 & 63.2739021716857 & 2.09632531324588 \tabularnewline
0.29 & 63.7609846068686 & 2.13565940535463 \tabularnewline
0.3 & 64.2494945795955 & 2.15185137422931 \tabularnewline
0.31 & 64.7348658707961 & 2.14262289641411 \tabularnewline
0.32 & 65.2123501448217 & 2.10934601958114 \tabularnewline
0.33 & 65.6777649360646 & 2.05695613463657 \tabularnewline
0.34 & 66.128081460685 & 1.99252523175157 \tabularnewline
0.35 & 66.5617434801879 & 1.92428206521978 \tabularnewline
0.36 & 66.9786940467614 & 1.85904367622646 \tabularnewline
0.37 & 67.3801640186888 & 1.80241578557199 \tabularnewline
0.38 & 67.7683232230734 & 1.75748480378911 \tabularnewline
0.39 & 68.1459037945347 & 1.72572314483241 \tabularnewline
0.4 & 68.5158808991402 & 1.70708888500702 \tabularnewline
0.41 & 68.8812535758482 & 1.70123886101039 \tabularnewline
0.42 & 69.2449254413744 & 1.70753731461393 \tabularnewline
0.43 & 69.6096555369974 & 1.72560278330999 \tabularnewline
0.44 & 69.9780399289917 & 1.75488523929599 \tabularnewline
0.45 & 70.3524926378377 & 1.79475319278625 \tabularnewline
0.46 & 70.7352119000161 & 1.84392843538133 \tabularnewline
0.47 & 71.1281347435672 & 1.90110744885363 \tabularnewline
0.48 & 71.5328919007474 & 1.96423577646462 \tabularnewline
0.49 & 71.9507737019427 & 2.03181139097564 \tabularnewline
0.5 & 72.3827085257484 & 2.10172583482399 \tabularnewline
0.51 & 72.8292446990585 & 2.17249360280542 \tabularnewline
0.52 & 73.2905209145698 & 2.24207733657508 \tabularnewline
0.53 & 73.7662133372904 & 2.30851870607892 \tabularnewline
0.54 & 74.2554597208273 & 2.36906473576563 \tabularnewline
0.55 & 74.7567782787763 & 2.42043711093625 \tabularnewline
0.56 & 75.2680156170596 & 2.45913302966719 \tabularnewline
0.57 & 75.7863674987346 & 2.48178744335986 \tabularnewline
0.58 & 76.3085144813448 & 2.48584514579636 \tabularnewline
0.59 & 76.8309010085518 & 2.47044786653383 \tabularnewline
0.6 & 77.3501645710417 & 2.4370790107585 \tabularnewline
0.61 & 77.8636967438038 & 2.38989894448282 \tabularnewline
0.62 & 78.3702958196798 & 2.33681444522534 \tabularnewline
0.63 & 78.8708539116858 & 2.28872686600293 \tabularnewline
0.64 & 79.369007525291 & 2.25971253799552 \tabularnewline
0.65 & 79.8716639145114 & 2.26623228438892 \tabularnewline
0.66 & 80.3892917998788 & 2.32607866192112 \tabularnewline
0.67 & 80.935838993977 & 2.45569840680182 \tabularnewline
0.68 & 81.5281303194569 & 2.66738018234458 \tabularnewline
0.69 & 82.1846382394123 & 2.96432315085978 \tabularnewline
0.7 & 82.9236358253617 & 3.33939601300487 \tabularnewline
0.71 & 83.7609435101757 & 3.77268783763786 \tabularnewline
0.72 & 84.7077298099741 & 4.23414037568639 \tabularnewline
0.73 & 85.7690353922378 & 4.68860923503842 \tabularnewline
0.74 & 86.9437461491838 & 5.10406536306825 \tabularnewline
0.75 & 88.2265498591495 & 5.46107957354618 \tabularnewline
0.76 & 89.6119485283439 & 5.7617960436707 \tabularnewline
0.77 & 91.0997413538713 & 6.03610132544782 \tabularnewline
0.78 & 92.7007090686572 & 6.33991783429816 \tabularnewline
0.79 & 94.4407294803418 & 6.74549574405291 \tabularnewline
0.8 & 96.3614264784086 & 7.32015420557343 \tabularnewline
0.81 & 98.5158232020513 & 8.09966726059028 \tabularnewline
0.82 & 100.958370149364 & 9.06576788902182 \tabularnewline
0.83 & 103.730094849224 & 10.1347564664154 \tabularnewline
0.84 & 106.841303300607 & 11.1627570811236 \tabularnewline
0.85 & 110.255921092609 & 11.965102024693 \tabularnewline
0.86 & 113.882637472693 & 12.3510072409504 \tabularnewline
0.87 & 117.577766074013 & 12.1691643434607 \tabularnewline
0.88 & 121.16250302483 & 11.3550458783451 \tabularnewline
0.89 & 124.453028121206 & 9.96334218849116 \tabularnewline
0.9 & 127.296871491443 & 8.16890519570872 \tabularnewline
0.91 & 129.605591535001 & 6.22890968061066 \tabularnewline
0.92 & 131.374470426587 & 4.41768375118477 \tabularnewline
0.93 & 132.684705821094 & 2.96217833702997 \tabularnewline
0.94 & 133.688749442293 & 2.01211570596365 \tabularnewline
0.95 & 134.579349224478 & 1.6374242467778 \tabularnewline
0.96 & 135.53589093717 & 1.72461129786897 \tabularnewline
0.97 & 136.638897922199 & 1.90561476551219 \tabularnewline
0.98 & 137.774944509002 & 1.72083992685935 \tabularnewline
0.99 & 138.641958459823 & 0.909874864894944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237985&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]43.9311717882496[/C][C]1.73637246147793[/C][/ROW]
[ROW][C]0.02[/C][C]45.2551793968159[/C][C]1.67244193875131[/C][/ROW]
[ROW][C]0.03[/C][C]46.5105298231221[/C][C]1.758054790528[/C][/ROW]
[ROW][C]0.04[/C][C]47.6357426343049[/C][C]1.88306489223491[/C][/ROW]
[ROW][C]0.05[/C][C]48.6915981301042[/C][C]2.08385018189388[/C][/ROW]
[ROW][C]0.06[/C][C]49.7335787541609[/C][C]2.33779155189441[/C][/ROW]
[ROW][C]0.07[/C][C]50.7873085619393[/C][C]2.56679872013208[/C][/ROW]
[ROW][C]0.08[/C][C]51.8472158132557[/C][C]2.70537609629657[/C][/ROW]
[ROW][C]0.09[/C][C]52.8857283771551[/C][C]2.71890829086117[/C][/ROW]
[ROW][C]0.1[/C][C]53.8672594492855[/C][C]2.60451740995489[/C][/ROW]
[ROW][C]0.11[/C][C]54.7610013479511[/C][C]2.39046379463038[/C][/ROW]
[ROW][C]0.12[/C][C]55.5495280316028[/C][C]2.12849495394195[/C][/ROW]
[ROW][C]0.13[/C][C]56.2320399902706[/C][C]1.87761370941699[/C][/ROW]
[ROW][C]0.14[/C][C]56.8223020740915[/C][C]1.68546707402987[/C][/ROW]
[ROW][C]0.15[/C][C]57.3428605886327[/C][C]1.57433330731674[/C][/ROW]
[ROW][C]0.16[/C][C]57.8181950218714[/C][C]1.53849636165449[/C][/ROW]
[ROW][C]0.17[/C][C]58.2692723625658[/C][C]1.5546789754564[/C][/ROW]
[ROW][C]0.18[/C][C]58.7107822953416[/C][C]1.59674201063335[/C][/ROW]
[ROW][C]0.19[/C][C]59.1509859232233[/C][C]1.64532093047852[/C][/ROW]
[ROW][C]0.2[/C][C]59.5932668915912[/C][C]1.69022798207054[/C][/ROW]
[ROW][C]0.21[/C][C]60.0382840824663[/C][C]1.72956310837095[/C][/ROW]
[ROW][C]0.22[/C][C]60.4858780593783[/C][C]1.76651116112766[/C][/ROW]
[ROW][C]0.23[/C][C]60.9362840109552[/C][C]1.806633997536[/C][/ROW]
[ROW][C]0.24[/C][C]61.3905540819484[/C][C]1.85456655231881[/C][/ROW]
[ROW][C]0.25[/C][C]61.8503233083476[/C][C]1.91192188844626[/C][/ROW]
[ROW][C]0.26[/C][C]62.3171747043392[/C][C]1.9759795331087[/C][/ROW]
[ROW][C]0.27[/C][C]62.7918971402934[/C][C]2.04030203528234[/C][/ROW]
[ROW][C]0.28[/C][C]63.2739021716857[/C][C]2.09632531324588[/C][/ROW]
[ROW][C]0.29[/C][C]63.7609846068686[/C][C]2.13565940535463[/C][/ROW]
[ROW][C]0.3[/C][C]64.2494945795955[/C][C]2.15185137422931[/C][/ROW]
[ROW][C]0.31[/C][C]64.7348658707961[/C][C]2.14262289641411[/C][/ROW]
[ROW][C]0.32[/C][C]65.2123501448217[/C][C]2.10934601958114[/C][/ROW]
[ROW][C]0.33[/C][C]65.6777649360646[/C][C]2.05695613463657[/C][/ROW]
[ROW][C]0.34[/C][C]66.128081460685[/C][C]1.99252523175157[/C][/ROW]
[ROW][C]0.35[/C][C]66.5617434801879[/C][C]1.92428206521978[/C][/ROW]
[ROW][C]0.36[/C][C]66.9786940467614[/C][C]1.85904367622646[/C][/ROW]
[ROW][C]0.37[/C][C]67.3801640186888[/C][C]1.80241578557199[/C][/ROW]
[ROW][C]0.38[/C][C]67.7683232230734[/C][C]1.75748480378911[/C][/ROW]
[ROW][C]0.39[/C][C]68.1459037945347[/C][C]1.72572314483241[/C][/ROW]
[ROW][C]0.4[/C][C]68.5158808991402[/C][C]1.70708888500702[/C][/ROW]
[ROW][C]0.41[/C][C]68.8812535758482[/C][C]1.70123886101039[/C][/ROW]
[ROW][C]0.42[/C][C]69.2449254413744[/C][C]1.70753731461393[/C][/ROW]
[ROW][C]0.43[/C][C]69.6096555369974[/C][C]1.72560278330999[/C][/ROW]
[ROW][C]0.44[/C][C]69.9780399289917[/C][C]1.75488523929599[/C][/ROW]
[ROW][C]0.45[/C][C]70.3524926378377[/C][C]1.79475319278625[/C][/ROW]
[ROW][C]0.46[/C][C]70.7352119000161[/C][C]1.84392843538133[/C][/ROW]
[ROW][C]0.47[/C][C]71.1281347435672[/C][C]1.90110744885363[/C][/ROW]
[ROW][C]0.48[/C][C]71.5328919007474[/C][C]1.96423577646462[/C][/ROW]
[ROW][C]0.49[/C][C]71.9507737019427[/C][C]2.03181139097564[/C][/ROW]
[ROW][C]0.5[/C][C]72.3827085257484[/C][C]2.10172583482399[/C][/ROW]
[ROW][C]0.51[/C][C]72.8292446990585[/C][C]2.17249360280542[/C][/ROW]
[ROW][C]0.52[/C][C]73.2905209145698[/C][C]2.24207733657508[/C][/ROW]
[ROW][C]0.53[/C][C]73.7662133372904[/C][C]2.30851870607892[/C][/ROW]
[ROW][C]0.54[/C][C]74.2554597208273[/C][C]2.36906473576563[/C][/ROW]
[ROW][C]0.55[/C][C]74.7567782787763[/C][C]2.42043711093625[/C][/ROW]
[ROW][C]0.56[/C][C]75.2680156170596[/C][C]2.45913302966719[/C][/ROW]
[ROW][C]0.57[/C][C]75.7863674987346[/C][C]2.48178744335986[/C][/ROW]
[ROW][C]0.58[/C][C]76.3085144813448[/C][C]2.48584514579636[/C][/ROW]
[ROW][C]0.59[/C][C]76.8309010085518[/C][C]2.47044786653383[/C][/ROW]
[ROW][C]0.6[/C][C]77.3501645710417[/C][C]2.4370790107585[/C][/ROW]
[ROW][C]0.61[/C][C]77.8636967438038[/C][C]2.38989894448282[/C][/ROW]
[ROW][C]0.62[/C][C]78.3702958196798[/C][C]2.33681444522534[/C][/ROW]
[ROW][C]0.63[/C][C]78.8708539116858[/C][C]2.28872686600293[/C][/ROW]
[ROW][C]0.64[/C][C]79.369007525291[/C][C]2.25971253799552[/C][/ROW]
[ROW][C]0.65[/C][C]79.8716639145114[/C][C]2.26623228438892[/C][/ROW]
[ROW][C]0.66[/C][C]80.3892917998788[/C][C]2.32607866192112[/C][/ROW]
[ROW][C]0.67[/C][C]80.935838993977[/C][C]2.45569840680182[/C][/ROW]
[ROW][C]0.68[/C][C]81.5281303194569[/C][C]2.66738018234458[/C][/ROW]
[ROW][C]0.69[/C][C]82.1846382394123[/C][C]2.96432315085978[/C][/ROW]
[ROW][C]0.7[/C][C]82.9236358253617[/C][C]3.33939601300487[/C][/ROW]
[ROW][C]0.71[/C][C]83.7609435101757[/C][C]3.77268783763786[/C][/ROW]
[ROW][C]0.72[/C][C]84.7077298099741[/C][C]4.23414037568639[/C][/ROW]
[ROW][C]0.73[/C][C]85.7690353922378[/C][C]4.68860923503842[/C][/ROW]
[ROW][C]0.74[/C][C]86.9437461491838[/C][C]5.10406536306825[/C][/ROW]
[ROW][C]0.75[/C][C]88.2265498591495[/C][C]5.46107957354618[/C][/ROW]
[ROW][C]0.76[/C][C]89.6119485283439[/C][C]5.7617960436707[/C][/ROW]
[ROW][C]0.77[/C][C]91.0997413538713[/C][C]6.03610132544782[/C][/ROW]
[ROW][C]0.78[/C][C]92.7007090686572[/C][C]6.33991783429816[/C][/ROW]
[ROW][C]0.79[/C][C]94.4407294803418[/C][C]6.74549574405291[/C][/ROW]
[ROW][C]0.8[/C][C]96.3614264784086[/C][C]7.32015420557343[/C][/ROW]
[ROW][C]0.81[/C][C]98.5158232020513[/C][C]8.09966726059028[/C][/ROW]
[ROW][C]0.82[/C][C]100.958370149364[/C][C]9.06576788902182[/C][/ROW]
[ROW][C]0.83[/C][C]103.730094849224[/C][C]10.1347564664154[/C][/ROW]
[ROW][C]0.84[/C][C]106.841303300607[/C][C]11.1627570811236[/C][/ROW]
[ROW][C]0.85[/C][C]110.255921092609[/C][C]11.965102024693[/C][/ROW]
[ROW][C]0.86[/C][C]113.882637472693[/C][C]12.3510072409504[/C][/ROW]
[ROW][C]0.87[/C][C]117.577766074013[/C][C]12.1691643434607[/C][/ROW]
[ROW][C]0.88[/C][C]121.16250302483[/C][C]11.3550458783451[/C][/ROW]
[ROW][C]0.89[/C][C]124.453028121206[/C][C]9.96334218849116[/C][/ROW]
[ROW][C]0.9[/C][C]127.296871491443[/C][C]8.16890519570872[/C][/ROW]
[ROW][C]0.91[/C][C]129.605591535001[/C][C]6.22890968061066[/C][/ROW]
[ROW][C]0.92[/C][C]131.374470426587[/C][C]4.41768375118477[/C][/ROW]
[ROW][C]0.93[/C][C]132.684705821094[/C][C]2.96217833702997[/C][/ROW]
[ROW][C]0.94[/C][C]133.688749442293[/C][C]2.01211570596365[/C][/ROW]
[ROW][C]0.95[/C][C]134.579349224478[/C][C]1.6374242467778[/C][/ROW]
[ROW][C]0.96[/C][C]135.53589093717[/C][C]1.72461129786897[/C][/ROW]
[ROW][C]0.97[/C][C]136.638897922199[/C][C]1.90561476551219[/C][/ROW]
[ROW][C]0.98[/C][C]137.774944509002[/C][C]1.72083992685935[/C][/ROW]
[ROW][C]0.99[/C][C]138.641958459823[/C][C]0.909874864894944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237985&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237985&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
0.0143.93117178824961.73637246147793
0.0245.25517939681591.67244193875131
0.0346.51052982312211.758054790528
0.0447.63574263430491.88306489223491
0.0548.69159813010422.08385018189388
0.0649.73357875416092.33779155189441
0.0750.78730856193932.56679872013208
0.0851.84721581325572.70537609629657
0.0952.88572837715512.71890829086117
0.153.86725944928552.60451740995489
0.1154.76100134795112.39046379463038
0.1255.54952803160282.12849495394195
0.1356.23203999027061.87761370941699
0.1456.82230207409151.68546707402987
0.1557.34286058863271.57433330731674
0.1657.81819502187141.53849636165449
0.1758.26927236256581.5546789754564
0.1858.71078229534161.59674201063335
0.1959.15098592322331.64532093047852
0.259.59326689159121.69022798207054
0.2160.03828408246631.72956310837095
0.2260.48587805937831.76651116112766
0.2360.93628401095521.806633997536
0.2461.39055408194841.85456655231881
0.2561.85032330834761.91192188844626
0.2662.31717470433921.9759795331087
0.2762.79189714029342.04030203528234
0.2863.27390217168572.09632531324588
0.2963.76098460686862.13565940535463
0.364.24949457959552.15185137422931
0.3164.73486587079612.14262289641411
0.3265.21235014482172.10934601958114
0.3365.67776493606462.05695613463657
0.3466.1280814606851.99252523175157
0.3566.56174348018791.92428206521978
0.3666.97869404676141.85904367622646
0.3767.38016401868881.80241578557199
0.3867.76832322307341.75748480378911
0.3968.14590379453471.72572314483241
0.468.51588089914021.70708888500702
0.4168.88125357584821.70123886101039
0.4269.24492544137441.70753731461393
0.4369.60965553699741.72560278330999
0.4469.97803992899171.75488523929599
0.4570.35249263783771.79475319278625
0.4670.73521190001611.84392843538133
0.4771.12813474356721.90110744885363
0.4871.53289190074741.96423577646462
0.4971.95077370194272.03181139097564
0.572.38270852574842.10172583482399
0.5172.82924469905852.17249360280542
0.5273.29052091456982.24207733657508
0.5373.76621333729042.30851870607892
0.5474.25545972082732.36906473576563
0.5574.75677827877632.42043711093625
0.5675.26801561705962.45913302966719
0.5775.78636749873462.48178744335986
0.5876.30851448134482.48584514579636
0.5976.83090100855182.47044786653383
0.677.35016457104172.4370790107585
0.6177.86369674380382.38989894448282
0.6278.37029581967982.33681444522534
0.6378.87085391168582.28872686600293
0.6479.3690075252912.25971253799552
0.6579.87166391451142.26623228438892
0.6680.38929179987882.32607866192112
0.6780.9358389939772.45569840680182
0.6881.52813031945692.66738018234458
0.6982.18463823941232.96432315085978
0.782.92363582536173.33939601300487
0.7183.76094351017573.77268783763786
0.7284.70772980997414.23414037568639
0.7385.76903539223784.68860923503842
0.7486.94374614918385.10406536306825
0.7588.22654985914955.46107957354618
0.7689.61194852834395.7617960436707
0.7791.09974135387136.03610132544782
0.7892.70070906865726.33991783429816
0.7994.44072948034186.74549574405291
0.896.36142647840867.32015420557343
0.8198.51582320205138.09966726059028
0.82100.9583701493649.06576788902182
0.83103.73009484922410.1347564664154
0.84106.84130330060711.1627570811236
0.85110.25592109260911.965102024693
0.86113.88263747269312.3510072409504
0.87117.57776607401312.1691643434607
0.88121.1625030248311.3550458783451
0.89124.4530281212069.96334218849116
0.9127.2968714914438.16890519570872
0.91129.6055915350016.22890968061066
0.92131.3744704265874.41768375118477
0.93132.6847058210942.96217833702997
0.94133.6887494422932.01211570596365
0.95134.5793492244781.6374242467778
0.96135.535890937171.72461129786897
0.97136.6388979221991.90561476551219
0.98137.7749445090021.72083992685935
0.99138.6419584598230.909874864894944


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')