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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 computationTue, 09 Oct 2012 15:14:42 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/09/t1349810109jh1dfv4cjjzy9vr.htm/, Retrieved Wed, 01 May 2024 15:49:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174742, Retrieved Wed, 01 May 2024 15:49:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

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] [Harrel-Davis Perc...] [2012-10-09 19:14:42] [546261a30dc8ed318e881c0522cbd66e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
73.97
73.97
73.97
73.97
73.97
73.97
73.96
74.44
75.43
75.77
75.82
75.85
75.85
75.85
77.95
82.07
84.82
85.08
85.34
85.65
85.65
85.72
85.73
85.73
85.73
85.73
85.74
86.32
87.59
87.81
87.87
87.94
87.96
88.01
88.01
88.01
88.01
88.01
88.59
89.43
89.63
89.73
89.88
89.89
89.9
89.91
89.86
90.07
90.17
90.17
90.28
90.87
92.05
92.1
92.16
92.22
92.25
92.29
92.29
92.29
92.29
92.29
91.95
91.82
92.16
92.31
92.33
92.4
92.54
92.49
92.54
92.58

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=174742&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=174742&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174742&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
0.0173.96271954513680.00792247045708938
0.0273.96722386299170.00959011321339019
0.0373.97475861728580.0261819997773707
0.0473.99008871552790.0662930220146031
0.0574.02103880963990.138060880748016
0.0674.07688865681260.244293285007105
0.0774.16618481683420.378682247700802
0.0874.29465582211620.527787013705069
0.0974.46416059897330.676913574671749
0.174.67331054629470.81814547481141
0.1174.91964040672380.956897319970803
0.1275.20243017409661.11315271703036
0.1375.52492958168221.31438032217505
0.1475.89495555224791.58322543993782
0.1576.32347445415021.92446270997799
0.1676.82153827029882.32165912371902
0.1777.39651628739052.74049590164756
0.1878.04877213606243.1358999031222
0.1978.76975774255083.46126753760645
0.279.54203878641423.67651801890524
0.2180.34120750625753.75641121620507
0.2281.13915686619113.69354765891636
0.2381.9079115737723.49931677932604
0.2482.62318151247543.19965426874726
0.2583.26698680345832.83016621549816
0.2683.8290112409792.42917648848594
0.2784.30666602828162.03259558701563
0.2884.70410154381261.66941965928504
0.2985.03054506462191.36041144977851
0.385.29836480573361.11797140707198
0.3185.52119551930110.946736615205396
0.3285.71235216399790.843874171659027
0.3385.88364611161680.799467063174057
0.3486.04462910521180.797939202746624
0.3586.20223313417140.821945489590423
0.3686.36074599935240.856049928513886
0.3786.52205263751920.888010702634599
0.3886.68607102789470.909277218005096
0.3986.85131205333450.914858068893869
0.487.01549297495180.902936992043214
0.4187.1761356203630.874829766240987
0.4287.33108575611680.834197950913619
0.4387.47890153301560.786777491406789
0.4487.61907662795120.739019814364258
0.4587.75208599419270.697307406181068
0.4687.87926578641940.6673099146189
0.4788.00256040804850.652276401666509
0.4888.12418556344820.652968978996372
0.4988.24626458262010.667083499024348
0.588.37049531504770.690174397840819
0.5188.49789699720150.716594763017935
0.5288.62867215397530.740519501233854
0.5388.76220004760610.756990193082735
0.5488.89715818870530.762363848775211
0.5589.03174989060160.754612233436377
0.5689.16400145409310.733672990397334
0.5789.29208428970790.701360692083892
0.5889.41461600121450.660980895538824
0.5989.53089976803370.61737654312874
0.689.64107171711940.575675472369589
0.6189.74613909461360.541556377541705
0.6289.8479055963280.520098830194677
0.6389.94879242243870.515032953090123
0.6490.05157365533040.528044050115115
0.6590.15905248743480.558063362479021
0.6690.27371115258160.60153823077097
0.6790.39737239506190.653357741582709
0.6890.53091336313330.707190295851007
0.6990.67407236431320.756132398414344
0.790.82538287304590.793756967646519
0.7190.98225593673320.814508608678681
0.7291.14121177227320.814665553074388
0.7391.2982364799420.792508173053316
0.7491.44921547055520.748799386822987
0.7591.59037774829380.686755611998091
0.7691.71868026811470.611018330733751
0.7791.83207201812070.52772023761339
0.7891.92960184312480.442820871315489
0.7992.01136664384570.361523530269092
0.892.07832905695120.287923034654822
0.8192.13205754730030.224427879485881
0.8292.17445117038710.171942954463306
0.8392.20750469890710.130104511400679
0.8492.23315064012720.0977605064924983
0.8592.2531894178480.0735632232292241
0.8692.26929487438840.0564345274672745
0.8792.28306459339770.0455879541082237
0.8892.29607523784440.0409881798147069
0.8992.30990092001560.0425760996936677
0.992.32605574290820.0494862272060367
0.9192.3458315579980.0600404564421084
0.9292.37002672905340.0718716123764029
0.9392.39861478157650.0819118704842078
0.9492.43049096922350.0867509636272617
0.9592.46353254081820.0833563579391899
0.9692.49520179984210.0710725674262739
0.9792.52358802293410.0531354660426666
0.9892.54800688798340.0378415323425614
0.9992.56779879343050.0346757409039552

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 73.9627195451368 & 0.00792247045708938 \tabularnewline
0.02 & 73.9672238629917 & 0.00959011321339019 \tabularnewline
0.03 & 73.9747586172858 & 0.0261819997773707 \tabularnewline
0.04 & 73.9900887155279 & 0.0662930220146031 \tabularnewline
0.05 & 74.0210388096399 & 0.138060880748016 \tabularnewline
0.06 & 74.0768886568126 & 0.244293285007105 \tabularnewline
0.07 & 74.1661848168342 & 0.378682247700802 \tabularnewline
0.08 & 74.2946558221162 & 0.527787013705069 \tabularnewline
0.09 & 74.4641605989733 & 0.676913574671749 \tabularnewline
0.1 & 74.6733105462947 & 0.81814547481141 \tabularnewline
0.11 & 74.9196404067238 & 0.956897319970803 \tabularnewline
0.12 & 75.2024301740966 & 1.11315271703036 \tabularnewline
0.13 & 75.5249295816822 & 1.31438032217505 \tabularnewline
0.14 & 75.8949555522479 & 1.58322543993782 \tabularnewline
0.15 & 76.3234744541502 & 1.92446270997799 \tabularnewline
0.16 & 76.8215382702988 & 2.32165912371902 \tabularnewline
0.17 & 77.3965162873905 & 2.74049590164756 \tabularnewline
0.18 & 78.0487721360624 & 3.1358999031222 \tabularnewline
0.19 & 78.7697577425508 & 3.46126753760645 \tabularnewline
0.2 & 79.5420387864142 & 3.67651801890524 \tabularnewline
0.21 & 80.3412075062575 & 3.75641121620507 \tabularnewline
0.22 & 81.1391568661911 & 3.69354765891636 \tabularnewline
0.23 & 81.907911573772 & 3.49931677932604 \tabularnewline
0.24 & 82.6231815124754 & 3.19965426874726 \tabularnewline
0.25 & 83.2669868034583 & 2.83016621549816 \tabularnewline
0.26 & 83.829011240979 & 2.42917648848594 \tabularnewline
0.27 & 84.3066660282816 & 2.03259558701563 \tabularnewline
0.28 & 84.7041015438126 & 1.66941965928504 \tabularnewline
0.29 & 85.0305450646219 & 1.36041144977851 \tabularnewline
0.3 & 85.2983648057336 & 1.11797140707198 \tabularnewline
0.31 & 85.5211955193011 & 0.946736615205396 \tabularnewline
0.32 & 85.7123521639979 & 0.843874171659027 \tabularnewline
0.33 & 85.8836461116168 & 0.799467063174057 \tabularnewline
0.34 & 86.0446291052118 & 0.797939202746624 \tabularnewline
0.35 & 86.2022331341714 & 0.821945489590423 \tabularnewline
0.36 & 86.3607459993524 & 0.856049928513886 \tabularnewline
0.37 & 86.5220526375192 & 0.888010702634599 \tabularnewline
0.38 & 86.6860710278947 & 0.909277218005096 \tabularnewline
0.39 & 86.8513120533345 & 0.914858068893869 \tabularnewline
0.4 & 87.0154929749518 & 0.902936992043214 \tabularnewline
0.41 & 87.176135620363 & 0.874829766240987 \tabularnewline
0.42 & 87.3310857561168 & 0.834197950913619 \tabularnewline
0.43 & 87.4789015330156 & 0.786777491406789 \tabularnewline
0.44 & 87.6190766279512 & 0.739019814364258 \tabularnewline
0.45 & 87.7520859941927 & 0.697307406181068 \tabularnewline
0.46 & 87.8792657864194 & 0.6673099146189 \tabularnewline
0.47 & 88.0025604080485 & 0.652276401666509 \tabularnewline
0.48 & 88.1241855634482 & 0.652968978996372 \tabularnewline
0.49 & 88.2462645826201 & 0.667083499024348 \tabularnewline
0.5 & 88.3704953150477 & 0.690174397840819 \tabularnewline
0.51 & 88.4978969972015 & 0.716594763017935 \tabularnewline
0.52 & 88.6286721539753 & 0.740519501233854 \tabularnewline
0.53 & 88.7622000476061 & 0.756990193082735 \tabularnewline
0.54 & 88.8971581887053 & 0.762363848775211 \tabularnewline
0.55 & 89.0317498906016 & 0.754612233436377 \tabularnewline
0.56 & 89.1640014540931 & 0.733672990397334 \tabularnewline
0.57 & 89.2920842897079 & 0.701360692083892 \tabularnewline
0.58 & 89.4146160012145 & 0.660980895538824 \tabularnewline
0.59 & 89.5308997680337 & 0.61737654312874 \tabularnewline
0.6 & 89.6410717171194 & 0.575675472369589 \tabularnewline
0.61 & 89.7461390946136 & 0.541556377541705 \tabularnewline
0.62 & 89.847905596328 & 0.520098830194677 \tabularnewline
0.63 & 89.9487924224387 & 0.515032953090123 \tabularnewline
0.64 & 90.0515736553304 & 0.528044050115115 \tabularnewline
0.65 & 90.1590524874348 & 0.558063362479021 \tabularnewline
0.66 & 90.2737111525816 & 0.60153823077097 \tabularnewline
0.67 & 90.3973723950619 & 0.653357741582709 \tabularnewline
0.68 & 90.5309133631333 & 0.707190295851007 \tabularnewline
0.69 & 90.6740723643132 & 0.756132398414344 \tabularnewline
0.7 & 90.8253828730459 & 0.793756967646519 \tabularnewline
0.71 & 90.9822559367332 & 0.814508608678681 \tabularnewline
0.72 & 91.1412117722732 & 0.814665553074388 \tabularnewline
0.73 & 91.298236479942 & 0.792508173053316 \tabularnewline
0.74 & 91.4492154705552 & 0.748799386822987 \tabularnewline
0.75 & 91.5903777482938 & 0.686755611998091 \tabularnewline
0.76 & 91.7186802681147 & 0.611018330733751 \tabularnewline
0.77 & 91.8320720181207 & 0.52772023761339 \tabularnewline
0.78 & 91.9296018431248 & 0.442820871315489 \tabularnewline
0.79 & 92.0113666438457 & 0.361523530269092 \tabularnewline
0.8 & 92.0783290569512 & 0.287923034654822 \tabularnewline
0.81 & 92.1320575473003 & 0.224427879485881 \tabularnewline
0.82 & 92.1744511703871 & 0.171942954463306 \tabularnewline
0.83 & 92.2075046989071 & 0.130104511400679 \tabularnewline
0.84 & 92.2331506401272 & 0.0977605064924983 \tabularnewline
0.85 & 92.253189417848 & 0.0735632232292241 \tabularnewline
0.86 & 92.2692948743884 & 0.0564345274672745 \tabularnewline
0.87 & 92.2830645933977 & 0.0455879541082237 \tabularnewline
0.88 & 92.2960752378444 & 0.0409881798147069 \tabularnewline
0.89 & 92.3099009200156 & 0.0425760996936677 \tabularnewline
0.9 & 92.3260557429082 & 0.0494862272060367 \tabularnewline
0.91 & 92.345831557998 & 0.0600404564421084 \tabularnewline
0.92 & 92.3700267290534 & 0.0718716123764029 \tabularnewline
0.93 & 92.3986147815765 & 0.0819118704842078 \tabularnewline
0.94 & 92.4304909692235 & 0.0867509636272617 \tabularnewline
0.95 & 92.4635325408182 & 0.0833563579391899 \tabularnewline
0.96 & 92.4952017998421 & 0.0710725674262739 \tabularnewline
0.97 & 92.5235880229341 & 0.0531354660426666 \tabularnewline
0.98 & 92.5480068879834 & 0.0378415323425614 \tabularnewline
0.99 & 92.5677987934305 & 0.0346757409039552 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174742&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]73.9627195451368[/C][C]0.00792247045708938[/C][/ROW]
[ROW][C]0.02[/C][C]73.9672238629917[/C][C]0.00959011321339019[/C][/ROW]
[ROW][C]0.03[/C][C]73.9747586172858[/C][C]0.0261819997773707[/C][/ROW]
[ROW][C]0.04[/C][C]73.9900887155279[/C][C]0.0662930220146031[/C][/ROW]
[ROW][C]0.05[/C][C]74.0210388096399[/C][C]0.138060880748016[/C][/ROW]
[ROW][C]0.06[/C][C]74.0768886568126[/C][C]0.244293285007105[/C][/ROW]
[ROW][C]0.07[/C][C]74.1661848168342[/C][C]0.378682247700802[/C][/ROW]
[ROW][C]0.08[/C][C]74.2946558221162[/C][C]0.527787013705069[/C][/ROW]
[ROW][C]0.09[/C][C]74.4641605989733[/C][C]0.676913574671749[/C][/ROW]
[ROW][C]0.1[/C][C]74.6733105462947[/C][C]0.81814547481141[/C][/ROW]
[ROW][C]0.11[/C][C]74.9196404067238[/C][C]0.956897319970803[/C][/ROW]
[ROW][C]0.12[/C][C]75.2024301740966[/C][C]1.11315271703036[/C][/ROW]
[ROW][C]0.13[/C][C]75.5249295816822[/C][C]1.31438032217505[/C][/ROW]
[ROW][C]0.14[/C][C]75.8949555522479[/C][C]1.58322543993782[/C][/ROW]
[ROW][C]0.15[/C][C]76.3234744541502[/C][C]1.92446270997799[/C][/ROW]
[ROW][C]0.16[/C][C]76.8215382702988[/C][C]2.32165912371902[/C][/ROW]
[ROW][C]0.17[/C][C]77.3965162873905[/C][C]2.74049590164756[/C][/ROW]
[ROW][C]0.18[/C][C]78.0487721360624[/C][C]3.1358999031222[/C][/ROW]
[ROW][C]0.19[/C][C]78.7697577425508[/C][C]3.46126753760645[/C][/ROW]
[ROW][C]0.2[/C][C]79.5420387864142[/C][C]3.67651801890524[/C][/ROW]
[ROW][C]0.21[/C][C]80.3412075062575[/C][C]3.75641121620507[/C][/ROW]
[ROW][C]0.22[/C][C]81.1391568661911[/C][C]3.69354765891636[/C][/ROW]
[ROW][C]0.23[/C][C]81.907911573772[/C][C]3.49931677932604[/C][/ROW]
[ROW][C]0.24[/C][C]82.6231815124754[/C][C]3.19965426874726[/C][/ROW]
[ROW][C]0.25[/C][C]83.2669868034583[/C][C]2.83016621549816[/C][/ROW]
[ROW][C]0.26[/C][C]83.829011240979[/C][C]2.42917648848594[/C][/ROW]
[ROW][C]0.27[/C][C]84.3066660282816[/C][C]2.03259558701563[/C][/ROW]
[ROW][C]0.28[/C][C]84.7041015438126[/C][C]1.66941965928504[/C][/ROW]
[ROW][C]0.29[/C][C]85.0305450646219[/C][C]1.36041144977851[/C][/ROW]
[ROW][C]0.3[/C][C]85.2983648057336[/C][C]1.11797140707198[/C][/ROW]
[ROW][C]0.31[/C][C]85.5211955193011[/C][C]0.946736615205396[/C][/ROW]
[ROW][C]0.32[/C][C]85.7123521639979[/C][C]0.843874171659027[/C][/ROW]
[ROW][C]0.33[/C][C]85.8836461116168[/C][C]0.799467063174057[/C][/ROW]
[ROW][C]0.34[/C][C]86.0446291052118[/C][C]0.797939202746624[/C][/ROW]
[ROW][C]0.35[/C][C]86.2022331341714[/C][C]0.821945489590423[/C][/ROW]
[ROW][C]0.36[/C][C]86.3607459993524[/C][C]0.856049928513886[/C][/ROW]
[ROW][C]0.37[/C][C]86.5220526375192[/C][C]0.888010702634599[/C][/ROW]
[ROW][C]0.38[/C][C]86.6860710278947[/C][C]0.909277218005096[/C][/ROW]
[ROW][C]0.39[/C][C]86.8513120533345[/C][C]0.914858068893869[/C][/ROW]
[ROW][C]0.4[/C][C]87.0154929749518[/C][C]0.902936992043214[/C][/ROW]
[ROW][C]0.41[/C][C]87.176135620363[/C][C]0.874829766240987[/C][/ROW]
[ROW][C]0.42[/C][C]87.3310857561168[/C][C]0.834197950913619[/C][/ROW]
[ROW][C]0.43[/C][C]87.4789015330156[/C][C]0.786777491406789[/C][/ROW]
[ROW][C]0.44[/C][C]87.6190766279512[/C][C]0.739019814364258[/C][/ROW]
[ROW][C]0.45[/C][C]87.7520859941927[/C][C]0.697307406181068[/C][/ROW]
[ROW][C]0.46[/C][C]87.8792657864194[/C][C]0.6673099146189[/C][/ROW]
[ROW][C]0.47[/C][C]88.0025604080485[/C][C]0.652276401666509[/C][/ROW]
[ROW][C]0.48[/C][C]88.1241855634482[/C][C]0.652968978996372[/C][/ROW]
[ROW][C]0.49[/C][C]88.2462645826201[/C][C]0.667083499024348[/C][/ROW]
[ROW][C]0.5[/C][C]88.3704953150477[/C][C]0.690174397840819[/C][/ROW]
[ROW][C]0.51[/C][C]88.4978969972015[/C][C]0.716594763017935[/C][/ROW]
[ROW][C]0.52[/C][C]88.6286721539753[/C][C]0.740519501233854[/C][/ROW]
[ROW][C]0.53[/C][C]88.7622000476061[/C][C]0.756990193082735[/C][/ROW]
[ROW][C]0.54[/C][C]88.8971581887053[/C][C]0.762363848775211[/C][/ROW]
[ROW][C]0.55[/C][C]89.0317498906016[/C][C]0.754612233436377[/C][/ROW]
[ROW][C]0.56[/C][C]89.1640014540931[/C][C]0.733672990397334[/C][/ROW]
[ROW][C]0.57[/C][C]89.2920842897079[/C][C]0.701360692083892[/C][/ROW]
[ROW][C]0.58[/C][C]89.4146160012145[/C][C]0.660980895538824[/C][/ROW]
[ROW][C]0.59[/C][C]89.5308997680337[/C][C]0.61737654312874[/C][/ROW]
[ROW][C]0.6[/C][C]89.6410717171194[/C][C]0.575675472369589[/C][/ROW]
[ROW][C]0.61[/C][C]89.7461390946136[/C][C]0.541556377541705[/C][/ROW]
[ROW][C]0.62[/C][C]89.847905596328[/C][C]0.520098830194677[/C][/ROW]
[ROW][C]0.63[/C][C]89.9487924224387[/C][C]0.515032953090123[/C][/ROW]
[ROW][C]0.64[/C][C]90.0515736553304[/C][C]0.528044050115115[/C][/ROW]
[ROW][C]0.65[/C][C]90.1590524874348[/C][C]0.558063362479021[/C][/ROW]
[ROW][C]0.66[/C][C]90.2737111525816[/C][C]0.60153823077097[/C][/ROW]
[ROW][C]0.67[/C][C]90.3973723950619[/C][C]0.653357741582709[/C][/ROW]
[ROW][C]0.68[/C][C]90.5309133631333[/C][C]0.707190295851007[/C][/ROW]
[ROW][C]0.69[/C][C]90.6740723643132[/C][C]0.756132398414344[/C][/ROW]
[ROW][C]0.7[/C][C]90.8253828730459[/C][C]0.793756967646519[/C][/ROW]
[ROW][C]0.71[/C][C]90.9822559367332[/C][C]0.814508608678681[/C][/ROW]
[ROW][C]0.72[/C][C]91.1412117722732[/C][C]0.814665553074388[/C][/ROW]
[ROW][C]0.73[/C][C]91.298236479942[/C][C]0.792508173053316[/C][/ROW]
[ROW][C]0.74[/C][C]91.4492154705552[/C][C]0.748799386822987[/C][/ROW]
[ROW][C]0.75[/C][C]91.5903777482938[/C][C]0.686755611998091[/C][/ROW]
[ROW][C]0.76[/C][C]91.7186802681147[/C][C]0.611018330733751[/C][/ROW]
[ROW][C]0.77[/C][C]91.8320720181207[/C][C]0.52772023761339[/C][/ROW]
[ROW][C]0.78[/C][C]91.9296018431248[/C][C]0.442820871315489[/C][/ROW]
[ROW][C]0.79[/C][C]92.0113666438457[/C][C]0.361523530269092[/C][/ROW]
[ROW][C]0.8[/C][C]92.0783290569512[/C][C]0.287923034654822[/C][/ROW]
[ROW][C]0.81[/C][C]92.1320575473003[/C][C]0.224427879485881[/C][/ROW]
[ROW][C]0.82[/C][C]92.1744511703871[/C][C]0.171942954463306[/C][/ROW]
[ROW][C]0.83[/C][C]92.2075046989071[/C][C]0.130104511400679[/C][/ROW]
[ROW][C]0.84[/C][C]92.2331506401272[/C][C]0.0977605064924983[/C][/ROW]
[ROW][C]0.85[/C][C]92.253189417848[/C][C]0.0735632232292241[/C][/ROW]
[ROW][C]0.86[/C][C]92.2692948743884[/C][C]0.0564345274672745[/C][/ROW]
[ROW][C]0.87[/C][C]92.2830645933977[/C][C]0.0455879541082237[/C][/ROW]
[ROW][C]0.88[/C][C]92.2960752378444[/C][C]0.0409881798147069[/C][/ROW]
[ROW][C]0.89[/C][C]92.3099009200156[/C][C]0.0425760996936677[/C][/ROW]
[ROW][C]0.9[/C][C]92.3260557429082[/C][C]0.0494862272060367[/C][/ROW]
[ROW][C]0.91[/C][C]92.345831557998[/C][C]0.0600404564421084[/C][/ROW]
[ROW][C]0.92[/C][C]92.3700267290534[/C][C]0.0718716123764029[/C][/ROW]
[ROW][C]0.93[/C][C]92.3986147815765[/C][C]0.0819118704842078[/C][/ROW]
[ROW][C]0.94[/C][C]92.4304909692235[/C][C]0.0867509636272617[/C][/ROW]
[ROW][C]0.95[/C][C]92.4635325408182[/C][C]0.0833563579391899[/C][/ROW]
[ROW][C]0.96[/C][C]92.4952017998421[/C][C]0.0710725674262739[/C][/ROW]
[ROW][C]0.97[/C][C]92.5235880229341[/C][C]0.0531354660426666[/C][/ROW]
[ROW][C]0.98[/C][C]92.5480068879834[/C][C]0.0378415323425614[/C][/ROW]
[ROW][C]0.99[/C][C]92.5677987934305[/C][C]0.0346757409039552[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174742&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174742&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
0.0173.96271954513680.00792247045708938
0.0273.96722386299170.00959011321339019
0.0373.97475861728580.0261819997773707
0.0473.99008871552790.0662930220146031
0.0574.02103880963990.138060880748016
0.0674.07688865681260.244293285007105
0.0774.16618481683420.378682247700802
0.0874.29465582211620.527787013705069
0.0974.46416059897330.676913574671749
0.174.67331054629470.81814547481141
0.1174.91964040672380.956897319970803
0.1275.20243017409661.11315271703036
0.1375.52492958168221.31438032217505
0.1475.89495555224791.58322543993782
0.1576.32347445415021.92446270997799
0.1676.82153827029882.32165912371902
0.1777.39651628739052.74049590164756
0.1878.04877213606243.1358999031222
0.1978.76975774255083.46126753760645
0.279.54203878641423.67651801890524
0.2180.34120750625753.75641121620507
0.2281.13915686619113.69354765891636
0.2381.9079115737723.49931677932604
0.2482.62318151247543.19965426874726
0.2583.26698680345832.83016621549816
0.2683.8290112409792.42917648848594
0.2784.30666602828162.03259558701563
0.2884.70410154381261.66941965928504
0.2985.03054506462191.36041144977851
0.385.29836480573361.11797140707198
0.3185.52119551930110.946736615205396
0.3285.71235216399790.843874171659027
0.3385.88364611161680.799467063174057
0.3486.04462910521180.797939202746624
0.3586.20223313417140.821945489590423
0.3686.36074599935240.856049928513886
0.3786.52205263751920.888010702634599
0.3886.68607102789470.909277218005096
0.3986.85131205333450.914858068893869
0.487.01549297495180.902936992043214
0.4187.1761356203630.874829766240987
0.4287.33108575611680.834197950913619
0.4387.47890153301560.786777491406789
0.4487.61907662795120.739019814364258
0.4587.75208599419270.697307406181068
0.4687.87926578641940.6673099146189
0.4788.00256040804850.652276401666509
0.4888.12418556344820.652968978996372
0.4988.24626458262010.667083499024348
0.588.37049531504770.690174397840819
0.5188.49789699720150.716594763017935
0.5288.62867215397530.740519501233854
0.5388.76220004760610.756990193082735
0.5488.89715818870530.762363848775211
0.5589.03174989060160.754612233436377
0.5689.16400145409310.733672990397334
0.5789.29208428970790.701360692083892
0.5889.41461600121450.660980895538824
0.5989.53089976803370.61737654312874
0.689.64107171711940.575675472369589
0.6189.74613909461360.541556377541705
0.6289.8479055963280.520098830194677
0.6389.94879242243870.515032953090123
0.6490.05157365533040.528044050115115
0.6590.15905248743480.558063362479021
0.6690.27371115258160.60153823077097
0.6790.39737239506190.653357741582709
0.6890.53091336313330.707190295851007
0.6990.67407236431320.756132398414344
0.790.82538287304590.793756967646519
0.7190.98225593673320.814508608678681
0.7291.14121177227320.814665553074388
0.7391.2982364799420.792508173053316
0.7491.44921547055520.748799386822987
0.7591.59037774829380.686755611998091
0.7691.71868026811470.611018330733751
0.7791.83207201812070.52772023761339
0.7891.92960184312480.442820871315489
0.7992.01136664384570.361523530269092
0.892.07832905695120.287923034654822
0.8192.13205754730030.224427879485881
0.8292.17445117038710.171942954463306
0.8392.20750469890710.130104511400679
0.8492.23315064012720.0977605064924983
0.8592.2531894178480.0735632232292241
0.8692.26929487438840.0564345274672745
0.8792.28306459339770.0455879541082237
0.8892.29607523784440.0409881798147069
0.8992.30990092001560.0425760996936677
0.992.32605574290820.0494862272060367
0.9192.3458315579980.0600404564421084
0.9292.37002672905340.0718716123764029
0.9392.39861478157650.0819118704842078
0.9492.43049096922350.0867509636272617
0.9592.46353254081820.0833563579391899
0.9692.49520179984210.0710725674262739
0.9792.52358802293410.0531354660426666
0.9892.54800688798340.0378415323425614
0.9992.56779879343050.0346757409039552


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')