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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, 04 Oct 2016 16:35:24 +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/Oct/04/t1475595439dsn4sxs1rne0uyj.htm/, Retrieved Fri, 17 May 2024 17:19:06 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 17:19:06 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.36
95.05
93.72
91.33
91.33
90.4
90.59
91.84
91.28
91.11
90.62
91.13
90.97
90.27
91.07
90.46
92.41
94.64
95.56
96.21
96.7
96.12
96.23
96.43
96.36
96.06
96.14
96.19
95.87
95.58
95.29
96.06
94.83
94.88
97.41
97.87
97.89
98.87
98.72
98.17
98.03
98.65
99.28
100.09
101.29
101.95
103.29
103.78
105.79
106.14
106.5
106.89
106.59
106.01
105.91
105.65
104.72
103.42
102.47
99.32
97.71
98.44
96.4
97.44
98.21
97.42
97.44
96.66
94.78
113.29
114.16
115.05

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.3117121937160.117430955785785
0.0290.37714482991820.118533493290516
0.0390.45166150989860.141768722568943
0.0490.5307397332280.177466297001466
0.0590.61476579050650.21349296095027
0.0690.70363926387020.24171155089081
0.0790.79570969333940.259631305375782
0.0890.88914071668170.271502668740679
0.0990.98360601835330.287942359035553
0.191.08131398994880.323185019402204
0.1191.18708446470370.388607335087269
0.1291.30758641040490.488619401439742
0.1391.45003715785790.620340448334841
0.1491.62071864486580.774979192799741
0.1591.82363599623860.939363092974935
0.1692.05957588408891.09766598713309
0.1792.32573494958011.23362921813022
0.1892.61598034382271.33368703786593
0.1992.92167947346551.38883100793418
0.293.23291776815961.39628381872996
0.2193.53984560282491.35949484507201
0.2293.83388371697141.28697603913273
0.2394.10857330391641.1901836257527
0.2494.35996134118871.0815887178074
0.2594.58652894147030.972190877382905
0.2694.7887664729470.87018986325114
0.2794.96855215479050.780444199722616
0.2895.12849594335150.70427338820981
0.2995.27137756495230.640665194106513
0.395.39975428255060.586958950990897
0.3195.51575876032330.540237070677792
0.3295.62106375058970.498060953309409
0.3395.71696472772040.459134337110331
0.3495.80452397465350.423028808179815
0.3595.88472565730930.390294664184641
0.3695.95860512762750.361970664833498
0.3796.02733156234530.339764483075657
0.3896.09223718723760.324886000101359
0.3996.15479679022240.31878699495429
0.496.21656763294570.321956589824077
0.4196.27910288636860.33398611075446
0.4296.34385240277130.354051320067458
0.4396.41206398315270.380323867259422
0.4496.48469694747870.410876284383688
0.4596.56235799671520.443185481643223
0.4696.64526699818940.474984238914031
0.4796.73325726785930.504029543812072
0.4896.82581114307440.528530885551316
0.4996.92212741400840.546955776343589
0.597.02121310761930.558810373416603
0.5197.121988981760.563696267611624
0.5297.22339662908210.562423236611428
0.5397.32449574599850.555807455631768
0.5497.42454284300440.54557550463186
0.5597.52304689872030.532912528514998
0.5697.61980225380160.519815956533249
0.5797.71490333721340.507813953947988
0.5897.80874869510840.498538796119164
0.5997.90204267614340.493490344487963
0.697.99580186299810.494199108003265
0.6198.09137015208560.502328680064406
0.6298.19044176458450.519679502223613
0.6398.29508608727760.54832159811562
0.6498.40776290068420.590153880183827
0.6598.53131224426790.646990686208958
0.6698.66890109575670.720470543014103
0.6798.82391053518370.811087770571467
0.6898.99975329172630.918138913472082
0.6999.19962301473151.03957718462452
0.799.4261924295761.17149238412069
0.7199.68129507519041.30824506596734
0.7299.96564007262511.44293813052506
0.73100.2786157481481.56816826899612
0.74100.6182308485111.67662800079754
0.75100.9812191779161.76209880208491
0.76101.3632972449141.82070590586413
0.77101.7595233474781.85075288718078
0.78102.1646738033291.85313576181036
0.79102.5735424653161.83042493359111
0.8102.9810935655211.7859466612746
0.81103.382455067081.72224047276238
0.82103.7728156994441.64062926189403
0.83104.1473575608411.54101397598154
0.84104.5013899318021.42341517637205
0.85104.8308361660791.28921306245129
0.86105.1331821637071.1434646044804
0.87105.4089704880240.996086785150595
0.88105.6639629869680.863308146034032
0.89105.9121540509680.770468026107388
0.9106.1796572016630.758649380999523
0.91106.5086472227550.885971349609989
0.92106.9586189853461.20408017961112
0.93107.599709865031.72233579865433
0.94108.4921925870432.37371944032392
0.95109.6517695120612.97790140354154
0.96111.0140724982923.25745052493217
0.97112.4255984774272.97434041085063
0.98113.6814424174282.16154498518632
0.99114.5932563172621.26832186076853

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.311712193716 & 0.117430955785785 \tabularnewline
0.02 & 90.3771448299182 & 0.118533493290516 \tabularnewline
0.03 & 90.4516615098986 & 0.141768722568943 \tabularnewline
0.04 & 90.530739733228 & 0.177466297001466 \tabularnewline
0.05 & 90.6147657905065 & 0.21349296095027 \tabularnewline
0.06 & 90.7036392638702 & 0.24171155089081 \tabularnewline
0.07 & 90.7957096933394 & 0.259631305375782 \tabularnewline
0.08 & 90.8891407166817 & 0.271502668740679 \tabularnewline
0.09 & 90.9836060183533 & 0.287942359035553 \tabularnewline
0.1 & 91.0813139899488 & 0.323185019402204 \tabularnewline
0.11 & 91.1870844647037 & 0.388607335087269 \tabularnewline
0.12 & 91.3075864104049 & 0.488619401439742 \tabularnewline
0.13 & 91.4500371578579 & 0.620340448334841 \tabularnewline
0.14 & 91.6207186448658 & 0.774979192799741 \tabularnewline
0.15 & 91.8236359962386 & 0.939363092974935 \tabularnewline
0.16 & 92.0595758840889 & 1.09766598713309 \tabularnewline
0.17 & 92.3257349495801 & 1.23362921813022 \tabularnewline
0.18 & 92.6159803438227 & 1.33368703786593 \tabularnewline
0.19 & 92.9216794734655 & 1.38883100793418 \tabularnewline
0.2 & 93.2329177681596 & 1.39628381872996 \tabularnewline
0.21 & 93.5398456028249 & 1.35949484507201 \tabularnewline
0.22 & 93.8338837169714 & 1.28697603913273 \tabularnewline
0.23 & 94.1085733039164 & 1.1901836257527 \tabularnewline
0.24 & 94.3599613411887 & 1.0815887178074 \tabularnewline
0.25 & 94.5865289414703 & 0.972190877382905 \tabularnewline
0.26 & 94.788766472947 & 0.87018986325114 \tabularnewline
0.27 & 94.9685521547905 & 0.780444199722616 \tabularnewline
0.28 & 95.1284959433515 & 0.70427338820981 \tabularnewline
0.29 & 95.2713775649523 & 0.640665194106513 \tabularnewline
0.3 & 95.3997542825506 & 0.586958950990897 \tabularnewline
0.31 & 95.5157587603233 & 0.540237070677792 \tabularnewline
0.32 & 95.6210637505897 & 0.498060953309409 \tabularnewline
0.33 & 95.7169647277204 & 0.459134337110331 \tabularnewline
0.34 & 95.8045239746535 & 0.423028808179815 \tabularnewline
0.35 & 95.8847256573093 & 0.390294664184641 \tabularnewline
0.36 & 95.9586051276275 & 0.361970664833498 \tabularnewline
0.37 & 96.0273315623453 & 0.339764483075657 \tabularnewline
0.38 & 96.0922371872376 & 0.324886000101359 \tabularnewline
0.39 & 96.1547967902224 & 0.31878699495429 \tabularnewline
0.4 & 96.2165676329457 & 0.321956589824077 \tabularnewline
0.41 & 96.2791028863686 & 0.33398611075446 \tabularnewline
0.42 & 96.3438524027713 & 0.354051320067458 \tabularnewline
0.43 & 96.4120639831527 & 0.380323867259422 \tabularnewline
0.44 & 96.4846969474787 & 0.410876284383688 \tabularnewline
0.45 & 96.5623579967152 & 0.443185481643223 \tabularnewline
0.46 & 96.6452669981894 & 0.474984238914031 \tabularnewline
0.47 & 96.7332572678593 & 0.504029543812072 \tabularnewline
0.48 & 96.8258111430744 & 0.528530885551316 \tabularnewline
0.49 & 96.9221274140084 & 0.546955776343589 \tabularnewline
0.5 & 97.0212131076193 & 0.558810373416603 \tabularnewline
0.51 & 97.12198898176 & 0.563696267611624 \tabularnewline
0.52 & 97.2233966290821 & 0.562423236611428 \tabularnewline
0.53 & 97.3244957459985 & 0.555807455631768 \tabularnewline
0.54 & 97.4245428430044 & 0.54557550463186 \tabularnewline
0.55 & 97.5230468987203 & 0.532912528514998 \tabularnewline
0.56 & 97.6198022538016 & 0.519815956533249 \tabularnewline
0.57 & 97.7149033372134 & 0.507813953947988 \tabularnewline
0.58 & 97.8087486951084 & 0.498538796119164 \tabularnewline
0.59 & 97.9020426761434 & 0.493490344487963 \tabularnewline
0.6 & 97.9958018629981 & 0.494199108003265 \tabularnewline
0.61 & 98.0913701520856 & 0.502328680064406 \tabularnewline
0.62 & 98.1904417645845 & 0.519679502223613 \tabularnewline
0.63 & 98.2950860872776 & 0.54832159811562 \tabularnewline
0.64 & 98.4077629006842 & 0.590153880183827 \tabularnewline
0.65 & 98.5313122442679 & 0.646990686208958 \tabularnewline
0.66 & 98.6689010957567 & 0.720470543014103 \tabularnewline
0.67 & 98.8239105351837 & 0.811087770571467 \tabularnewline
0.68 & 98.9997532917263 & 0.918138913472082 \tabularnewline
0.69 & 99.1996230147315 & 1.03957718462452 \tabularnewline
0.7 & 99.426192429576 & 1.17149238412069 \tabularnewline
0.71 & 99.6812950751904 & 1.30824506596734 \tabularnewline
0.72 & 99.9656400726251 & 1.44293813052506 \tabularnewline
0.73 & 100.278615748148 & 1.56816826899612 \tabularnewline
0.74 & 100.618230848511 & 1.67662800079754 \tabularnewline
0.75 & 100.981219177916 & 1.76209880208491 \tabularnewline
0.76 & 101.363297244914 & 1.82070590586413 \tabularnewline
0.77 & 101.759523347478 & 1.85075288718078 \tabularnewline
0.78 & 102.164673803329 & 1.85313576181036 \tabularnewline
0.79 & 102.573542465316 & 1.83042493359111 \tabularnewline
0.8 & 102.981093565521 & 1.7859466612746 \tabularnewline
0.81 & 103.38245506708 & 1.72224047276238 \tabularnewline
0.82 & 103.772815699444 & 1.64062926189403 \tabularnewline
0.83 & 104.147357560841 & 1.54101397598154 \tabularnewline
0.84 & 104.501389931802 & 1.42341517637205 \tabularnewline
0.85 & 104.830836166079 & 1.28921306245129 \tabularnewline
0.86 & 105.133182163707 & 1.1434646044804 \tabularnewline
0.87 & 105.408970488024 & 0.996086785150595 \tabularnewline
0.88 & 105.663962986968 & 0.863308146034032 \tabularnewline
0.89 & 105.912154050968 & 0.770468026107388 \tabularnewline
0.9 & 106.179657201663 & 0.758649380999523 \tabularnewline
0.91 & 106.508647222755 & 0.885971349609989 \tabularnewline
0.92 & 106.958618985346 & 1.20408017961112 \tabularnewline
0.93 & 107.59970986503 & 1.72233579865433 \tabularnewline
0.94 & 108.492192587043 & 2.37371944032392 \tabularnewline
0.95 & 109.651769512061 & 2.97790140354154 \tabularnewline
0.96 & 111.014072498292 & 3.25745052493217 \tabularnewline
0.97 & 112.425598477427 & 2.97434041085063 \tabularnewline
0.98 & 113.681442417428 & 2.16154498518632 \tabularnewline
0.99 & 114.593256317262 & 1.26832186076853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]90.311712193716[/C][C]0.117430955785785[/C][/ROW]
[ROW][C]0.02[/C][C]90.3771448299182[/C][C]0.118533493290516[/C][/ROW]
[ROW][C]0.03[/C][C]90.4516615098986[/C][C]0.141768722568943[/C][/ROW]
[ROW][C]0.04[/C][C]90.530739733228[/C][C]0.177466297001466[/C][/ROW]
[ROW][C]0.05[/C][C]90.6147657905065[/C][C]0.21349296095027[/C][/ROW]
[ROW][C]0.06[/C][C]90.7036392638702[/C][C]0.24171155089081[/C][/ROW]
[ROW][C]0.07[/C][C]90.7957096933394[/C][C]0.259631305375782[/C][/ROW]
[ROW][C]0.08[/C][C]90.8891407166817[/C][C]0.271502668740679[/C][/ROW]
[ROW][C]0.09[/C][C]90.9836060183533[/C][C]0.287942359035553[/C][/ROW]
[ROW][C]0.1[/C][C]91.0813139899488[/C][C]0.323185019402204[/C][/ROW]
[ROW][C]0.11[/C][C]91.1870844647037[/C][C]0.388607335087269[/C][/ROW]
[ROW][C]0.12[/C][C]91.3075864104049[/C][C]0.488619401439742[/C][/ROW]
[ROW][C]0.13[/C][C]91.4500371578579[/C][C]0.620340448334841[/C][/ROW]
[ROW][C]0.14[/C][C]91.6207186448658[/C][C]0.774979192799741[/C][/ROW]
[ROW][C]0.15[/C][C]91.8236359962386[/C][C]0.939363092974935[/C][/ROW]
[ROW][C]0.16[/C][C]92.0595758840889[/C][C]1.09766598713309[/C][/ROW]
[ROW][C]0.17[/C][C]92.3257349495801[/C][C]1.23362921813022[/C][/ROW]
[ROW][C]0.18[/C][C]92.6159803438227[/C][C]1.33368703786593[/C][/ROW]
[ROW][C]0.19[/C][C]92.9216794734655[/C][C]1.38883100793418[/C][/ROW]
[ROW][C]0.2[/C][C]93.2329177681596[/C][C]1.39628381872996[/C][/ROW]
[ROW][C]0.21[/C][C]93.5398456028249[/C][C]1.35949484507201[/C][/ROW]
[ROW][C]0.22[/C][C]93.8338837169714[/C][C]1.28697603913273[/C][/ROW]
[ROW][C]0.23[/C][C]94.1085733039164[/C][C]1.1901836257527[/C][/ROW]
[ROW][C]0.24[/C][C]94.3599613411887[/C][C]1.0815887178074[/C][/ROW]
[ROW][C]0.25[/C][C]94.5865289414703[/C][C]0.972190877382905[/C][/ROW]
[ROW][C]0.26[/C][C]94.788766472947[/C][C]0.87018986325114[/C][/ROW]
[ROW][C]0.27[/C][C]94.9685521547905[/C][C]0.780444199722616[/C][/ROW]
[ROW][C]0.28[/C][C]95.1284959433515[/C][C]0.70427338820981[/C][/ROW]
[ROW][C]0.29[/C][C]95.2713775649523[/C][C]0.640665194106513[/C][/ROW]
[ROW][C]0.3[/C][C]95.3997542825506[/C][C]0.586958950990897[/C][/ROW]
[ROW][C]0.31[/C][C]95.5157587603233[/C][C]0.540237070677792[/C][/ROW]
[ROW][C]0.32[/C][C]95.6210637505897[/C][C]0.498060953309409[/C][/ROW]
[ROW][C]0.33[/C][C]95.7169647277204[/C][C]0.459134337110331[/C][/ROW]
[ROW][C]0.34[/C][C]95.8045239746535[/C][C]0.423028808179815[/C][/ROW]
[ROW][C]0.35[/C][C]95.8847256573093[/C][C]0.390294664184641[/C][/ROW]
[ROW][C]0.36[/C][C]95.9586051276275[/C][C]0.361970664833498[/C][/ROW]
[ROW][C]0.37[/C][C]96.0273315623453[/C][C]0.339764483075657[/C][/ROW]
[ROW][C]0.38[/C][C]96.0922371872376[/C][C]0.324886000101359[/C][/ROW]
[ROW][C]0.39[/C][C]96.1547967902224[/C][C]0.31878699495429[/C][/ROW]
[ROW][C]0.4[/C][C]96.2165676329457[/C][C]0.321956589824077[/C][/ROW]
[ROW][C]0.41[/C][C]96.2791028863686[/C][C]0.33398611075446[/C][/ROW]
[ROW][C]0.42[/C][C]96.3438524027713[/C][C]0.354051320067458[/C][/ROW]
[ROW][C]0.43[/C][C]96.4120639831527[/C][C]0.380323867259422[/C][/ROW]
[ROW][C]0.44[/C][C]96.4846969474787[/C][C]0.410876284383688[/C][/ROW]
[ROW][C]0.45[/C][C]96.5623579967152[/C][C]0.443185481643223[/C][/ROW]
[ROW][C]0.46[/C][C]96.6452669981894[/C][C]0.474984238914031[/C][/ROW]
[ROW][C]0.47[/C][C]96.7332572678593[/C][C]0.504029543812072[/C][/ROW]
[ROW][C]0.48[/C][C]96.8258111430744[/C][C]0.528530885551316[/C][/ROW]
[ROW][C]0.49[/C][C]96.9221274140084[/C][C]0.546955776343589[/C][/ROW]
[ROW][C]0.5[/C][C]97.0212131076193[/C][C]0.558810373416603[/C][/ROW]
[ROW][C]0.51[/C][C]97.12198898176[/C][C]0.563696267611624[/C][/ROW]
[ROW][C]0.52[/C][C]97.2233966290821[/C][C]0.562423236611428[/C][/ROW]
[ROW][C]0.53[/C][C]97.3244957459985[/C][C]0.555807455631768[/C][/ROW]
[ROW][C]0.54[/C][C]97.4245428430044[/C][C]0.54557550463186[/C][/ROW]
[ROW][C]0.55[/C][C]97.5230468987203[/C][C]0.532912528514998[/C][/ROW]
[ROW][C]0.56[/C][C]97.6198022538016[/C][C]0.519815956533249[/C][/ROW]
[ROW][C]0.57[/C][C]97.7149033372134[/C][C]0.507813953947988[/C][/ROW]
[ROW][C]0.58[/C][C]97.8087486951084[/C][C]0.498538796119164[/C][/ROW]
[ROW][C]0.59[/C][C]97.9020426761434[/C][C]0.493490344487963[/C][/ROW]
[ROW][C]0.6[/C][C]97.9958018629981[/C][C]0.494199108003265[/C][/ROW]
[ROW][C]0.61[/C][C]98.0913701520856[/C][C]0.502328680064406[/C][/ROW]
[ROW][C]0.62[/C][C]98.1904417645845[/C][C]0.519679502223613[/C][/ROW]
[ROW][C]0.63[/C][C]98.2950860872776[/C][C]0.54832159811562[/C][/ROW]
[ROW][C]0.64[/C][C]98.4077629006842[/C][C]0.590153880183827[/C][/ROW]
[ROW][C]0.65[/C][C]98.5313122442679[/C][C]0.646990686208958[/C][/ROW]
[ROW][C]0.66[/C][C]98.6689010957567[/C][C]0.720470543014103[/C][/ROW]
[ROW][C]0.67[/C][C]98.8239105351837[/C][C]0.811087770571467[/C][/ROW]
[ROW][C]0.68[/C][C]98.9997532917263[/C][C]0.918138913472082[/C][/ROW]
[ROW][C]0.69[/C][C]99.1996230147315[/C][C]1.03957718462452[/C][/ROW]
[ROW][C]0.7[/C][C]99.426192429576[/C][C]1.17149238412069[/C][/ROW]
[ROW][C]0.71[/C][C]99.6812950751904[/C][C]1.30824506596734[/C][/ROW]
[ROW][C]0.72[/C][C]99.9656400726251[/C][C]1.44293813052506[/C][/ROW]
[ROW][C]0.73[/C][C]100.278615748148[/C][C]1.56816826899612[/C][/ROW]
[ROW][C]0.74[/C][C]100.618230848511[/C][C]1.67662800079754[/C][/ROW]
[ROW][C]0.75[/C][C]100.981219177916[/C][C]1.76209880208491[/C][/ROW]
[ROW][C]0.76[/C][C]101.363297244914[/C][C]1.82070590586413[/C][/ROW]
[ROW][C]0.77[/C][C]101.759523347478[/C][C]1.85075288718078[/C][/ROW]
[ROW][C]0.78[/C][C]102.164673803329[/C][C]1.85313576181036[/C][/ROW]
[ROW][C]0.79[/C][C]102.573542465316[/C][C]1.83042493359111[/C][/ROW]
[ROW][C]0.8[/C][C]102.981093565521[/C][C]1.7859466612746[/C][/ROW]
[ROW][C]0.81[/C][C]103.38245506708[/C][C]1.72224047276238[/C][/ROW]
[ROW][C]0.82[/C][C]103.772815699444[/C][C]1.64062926189403[/C][/ROW]
[ROW][C]0.83[/C][C]104.147357560841[/C][C]1.54101397598154[/C][/ROW]
[ROW][C]0.84[/C][C]104.501389931802[/C][C]1.42341517637205[/C][/ROW]
[ROW][C]0.85[/C][C]104.830836166079[/C][C]1.28921306245129[/C][/ROW]
[ROW][C]0.86[/C][C]105.133182163707[/C][C]1.1434646044804[/C][/ROW]
[ROW][C]0.87[/C][C]105.408970488024[/C][C]0.996086785150595[/C][/ROW]
[ROW][C]0.88[/C][C]105.663962986968[/C][C]0.863308146034032[/C][/ROW]
[ROW][C]0.89[/C][C]105.912154050968[/C][C]0.770468026107388[/C][/ROW]
[ROW][C]0.9[/C][C]106.179657201663[/C][C]0.758649380999523[/C][/ROW]
[ROW][C]0.91[/C][C]106.508647222755[/C][C]0.885971349609989[/C][/ROW]
[ROW][C]0.92[/C][C]106.958618985346[/C][C]1.20408017961112[/C][/ROW]
[ROW][C]0.93[/C][C]107.59970986503[/C][C]1.72233579865433[/C][/ROW]
[ROW][C]0.94[/C][C]108.492192587043[/C][C]2.37371944032392[/C][/ROW]
[ROW][C]0.95[/C][C]109.651769512061[/C][C]2.97790140354154[/C][/ROW]
[ROW][C]0.96[/C][C]111.014072498292[/C][C]3.25745052493217[/C][/ROW]
[ROW][C]0.97[/C][C]112.425598477427[/C][C]2.97434041085063[/C][/ROW]
[ROW][C]0.98[/C][C]113.681442417428[/C][C]2.16154498518632[/C][/ROW]
[ROW][C]0.99[/C][C]114.593256317262[/C][C]1.26832186076853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0190.3117121937160.117430955785785
0.0290.37714482991820.118533493290516
0.0390.45166150989860.141768722568943
0.0490.5307397332280.177466297001466
0.0590.61476579050650.21349296095027
0.0690.70363926387020.24171155089081
0.0790.79570969333940.259631305375782
0.0890.88914071668170.271502668740679
0.0990.98360601835330.287942359035553
0.191.08131398994880.323185019402204
0.1191.18708446470370.388607335087269
0.1291.30758641040490.488619401439742
0.1391.45003715785790.620340448334841
0.1491.62071864486580.774979192799741
0.1591.82363599623860.939363092974935
0.1692.05957588408891.09766598713309
0.1792.32573494958011.23362921813022
0.1892.61598034382271.33368703786593
0.1992.92167947346551.38883100793418
0.293.23291776815961.39628381872996
0.2193.53984560282491.35949484507201
0.2293.83388371697141.28697603913273
0.2394.10857330391641.1901836257527
0.2494.35996134118871.0815887178074
0.2594.58652894147030.972190877382905
0.2694.7887664729470.87018986325114
0.2794.96855215479050.780444199722616
0.2895.12849594335150.70427338820981
0.2995.27137756495230.640665194106513
0.395.39975428255060.586958950990897
0.3195.51575876032330.540237070677792
0.3295.62106375058970.498060953309409
0.3395.71696472772040.459134337110331
0.3495.80452397465350.423028808179815
0.3595.88472565730930.390294664184641
0.3695.95860512762750.361970664833498
0.3796.02733156234530.339764483075657
0.3896.09223718723760.324886000101359
0.3996.15479679022240.31878699495429
0.496.21656763294570.321956589824077
0.4196.27910288636860.33398611075446
0.4296.34385240277130.354051320067458
0.4396.41206398315270.380323867259422
0.4496.48469694747870.410876284383688
0.4596.56235799671520.443185481643223
0.4696.64526699818940.474984238914031
0.4796.73325726785930.504029543812072
0.4896.82581114307440.528530885551316
0.4996.92212741400840.546955776343589
0.597.02121310761930.558810373416603
0.5197.121988981760.563696267611624
0.5297.22339662908210.562423236611428
0.5397.32449574599850.555807455631768
0.5497.42454284300440.54557550463186
0.5597.52304689872030.532912528514998
0.5697.61980225380160.519815956533249
0.5797.71490333721340.507813953947988
0.5897.80874869510840.498538796119164
0.5997.90204267614340.493490344487963
0.697.99580186299810.494199108003265
0.6198.09137015208560.502328680064406
0.6298.19044176458450.519679502223613
0.6398.29508608727760.54832159811562
0.6498.40776290068420.590153880183827
0.6598.53131224426790.646990686208958
0.6698.66890109575670.720470543014103
0.6798.82391053518370.811087770571467
0.6898.99975329172630.918138913472082
0.6999.19962301473151.03957718462452
0.799.4261924295761.17149238412069
0.7199.68129507519041.30824506596734
0.7299.96564007262511.44293813052506
0.73100.2786157481481.56816826899612
0.74100.6182308485111.67662800079754
0.75100.9812191779161.76209880208491
0.76101.3632972449141.82070590586413
0.77101.7595233474781.85075288718078
0.78102.1646738033291.85313576181036
0.79102.5735424653161.83042493359111
0.8102.9810935655211.7859466612746
0.81103.382455067081.72224047276238
0.82103.7728156994441.64062926189403
0.83104.1473575608411.54101397598154
0.84104.5013899318021.42341517637205
0.85104.8308361660791.28921306245129
0.86105.1331821637071.1434646044804
0.87105.4089704880240.996086785150595
0.88105.6639629869680.863308146034032
0.89105.9121540509680.770468026107388
0.9106.1796572016630.758649380999523
0.91106.5086472227550.885971349609989
0.92106.9586189853461.20408017961112
0.93107.599709865031.72233579865433
0.94108.4921925870432.37371944032392
0.95109.6517695120612.97790140354154
0.96111.0140724982923.25745052493217
0.97112.4255984774272.97434041085063
0.98113.6814424174282.16154498518632
0.99114.5932563172621.26832186076853


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.09 ; 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 <- '0.09'
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')