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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, 05 Mar 2013 08:09:15 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Mar/05/t1362488974esldhfup5fyvuiv.htm/, Retrieved Sat, 04 May 2024 08:39:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207381, Retrieved Sat, 04 May 2024 08:39:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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] [] [2013-03-05 13:09:15] [a20b39b66cdf12df5e07217cd6d70728] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
130,65
130,39
130,37
128,53
126,7
126,7
126,7
126,82
127,26
126,87
126,57
126,39
126,39
126,13
125,98
123,02
122,49
121,83
121,83
121,73
122,23
121,91
122,03
122,14
122,14
122
121,37
119,04
118,55
118,55
118,55
118,54
118,45
118,49
118,47
118,08
118,08
117,94
117
115,46
113,8
113,71
113,71
113,71
113,47
113,37
113,21
113,15
113,15
113,04
112,46
111,46
110,92
110,84
110,84
110,84
110,86
110,71
110,75
110,82
110,82
110,72
110,49
108,95
108,1
108,16
108,16
108,16
108,14
107,72
107,56
107,2

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207381&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207381&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207381&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01107.3124134699310.318211939004714
0.02107.480446077380.290461036815775
0.03107.6532423042760.284000594436362
0.04107.8094425987880.282467691363207
0.05107.948961649040.289105060056477
0.06108.0812297546290.330654428644853
0.07108.2196732576180.426049160123931
0.08108.378068368630.566908254406004
0.09108.5665538852240.726673964477818
0.1108.7883668576470.873766963511975
0.11109.0387277655930.979537777497103
0.12109.3062017106131.02553719605116
0.13109.5758010716711.00720279932068
0.14109.8326161136240.932944709948121
0.15110.0648552680730.820619255761989
0.16110.2656277900520.69187931748469
0.17110.4333417382620.567250865158852
0.18110.5710057041780.463648787678848
0.19110.6849122495320.393756893442521
0.2110.7831598810160.365466312130081
0.21110.8743256515260.379799840150774
0.22110.9664312743150.430191432601379
0.23111.0662200223730.506389287923482
0.24111.1787025801750.598094248431773
0.25111.3069247681030.695406377096275
0.26111.4519300853840.789464031277351
0.27111.6129085772290.871904977672392
0.28111.787525673580.936430614428111
0.29111.9724088666860.979698909144453
0.3112.1637444200651.0012414003489
0.31112.3579122518371.00397393612169
0.32112.5520743536870.993890779431236
0.33112.7446352395930.979562254376428
0.34112.9355111077180.970626596807221
0.35113.1261727982460.976872427736451
0.36113.3194598464921.0065682227228
0.37113.5191932511271.06402680110168
0.38113.7296392087371.14965215537071
0.39113.9548932096291.25909636734573
0.4114.1982630089061.38452936306482
0.41114.4617299119581.51592581692805
0.42114.7455602668811.64150814912614
0.43115.0481228416451.74991675300396
0.44115.3659434522011.83094853711722
0.45115.6939978584131.87686073971259
0.46116.0262113654241.88349060293164
0.47116.356103839481.85024676434813
0.48116.6774971951171.78111351319694
0.49116.9851928298381.68326588251167
0.5117.2755306426241.56707791164533
0.51117.5467581300481.44454466706854
0.52117.7991642876231.32838799001022
0.53118.0349641031561.2307232371873
0.54118.2579507386581.1614014386869
0.55118.4729603626831.12644036570219
0.56118.6852165222631.12687292096717
0.57118.8996354106891.15807458946022
0.58119.1201793576911.21055652672597
0.59119.3493424519831.27282411205721
0.6119.5878387598921.33226194399709
0.61119.8345402913881.37805083751971
0.62120.0866803854651.40119555410957
0.63120.3403022107931.39624318983617
0.64120.5908969754561.3619044036145
0.65120.8341481889831.30071731025933
0.66121.0666818829371.21973480985672
0.67121.2867205041271.12890259530169
0.68121.4945494504431.04081988778894
0.69121.6927264644860.969435197636277
0.7121.8859909233460.928482915997085
0.71122.0808592199780.929339201723255
0.72122.2849232561850.97702967276663
0.73122.5059031787691.06873588196309
0.74122.7505445101181.19418722861751
0.75123.023491906831.33766751273785
0.76123.3263087862491.48041160671727
0.77123.6568295476781.60247309207274
0.78124.0090125128411.68510623113711
0.79124.3733961410351.71392888835547
0.8124.7381518810531.68081465382666
0.81125.0905964945931.58600179755788
0.82125.4189129649361.43797013098142
0.83125.7137742481211.25208606014245
0.84125.9695968504441.04788348100019
0.85126.1852714596620.845836183252266
0.86126.3643904005180.664668257342728
0.87126.5151519227190.520417047834521
0.88126.6501900784080.427771222734334
0.89126.7864806530860.402465872429776
0.9126.9451589762260.456727780269526
0.91127.1505751989410.590015606860459
0.92127.4273889760320.789652298989398
0.93127.794440868471.0268723825509
0.94128.2553113097011.24725255229852
0.95128.7884987778041.37048997417676
0.96129.3440892343771.31556546335871
0.97129.8545479364331.05497244753855
0.98130.2589966190570.670501185202298
0.99130.5249005559370.352531589513682

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 107.312413469931 & 0.318211939004714 \tabularnewline
0.02 & 107.48044607738 & 0.290461036815775 \tabularnewline
0.03 & 107.653242304276 & 0.284000594436362 \tabularnewline
0.04 & 107.809442598788 & 0.282467691363207 \tabularnewline
0.05 & 107.94896164904 & 0.289105060056477 \tabularnewline
0.06 & 108.081229754629 & 0.330654428644853 \tabularnewline
0.07 & 108.219673257618 & 0.426049160123931 \tabularnewline
0.08 & 108.37806836863 & 0.566908254406004 \tabularnewline
0.09 & 108.566553885224 & 0.726673964477818 \tabularnewline
0.1 & 108.788366857647 & 0.873766963511975 \tabularnewline
0.11 & 109.038727765593 & 0.979537777497103 \tabularnewline
0.12 & 109.306201710613 & 1.02553719605116 \tabularnewline
0.13 & 109.575801071671 & 1.00720279932068 \tabularnewline
0.14 & 109.832616113624 & 0.932944709948121 \tabularnewline
0.15 & 110.064855268073 & 0.820619255761989 \tabularnewline
0.16 & 110.265627790052 & 0.69187931748469 \tabularnewline
0.17 & 110.433341738262 & 0.567250865158852 \tabularnewline
0.18 & 110.571005704178 & 0.463648787678848 \tabularnewline
0.19 & 110.684912249532 & 0.393756893442521 \tabularnewline
0.2 & 110.783159881016 & 0.365466312130081 \tabularnewline
0.21 & 110.874325651526 & 0.379799840150774 \tabularnewline
0.22 & 110.966431274315 & 0.430191432601379 \tabularnewline
0.23 & 111.066220022373 & 0.506389287923482 \tabularnewline
0.24 & 111.178702580175 & 0.598094248431773 \tabularnewline
0.25 & 111.306924768103 & 0.695406377096275 \tabularnewline
0.26 & 111.451930085384 & 0.789464031277351 \tabularnewline
0.27 & 111.612908577229 & 0.871904977672392 \tabularnewline
0.28 & 111.78752567358 & 0.936430614428111 \tabularnewline
0.29 & 111.972408866686 & 0.979698909144453 \tabularnewline
0.3 & 112.163744420065 & 1.0012414003489 \tabularnewline
0.31 & 112.357912251837 & 1.00397393612169 \tabularnewline
0.32 & 112.552074353687 & 0.993890779431236 \tabularnewline
0.33 & 112.744635239593 & 0.979562254376428 \tabularnewline
0.34 & 112.935511107718 & 0.970626596807221 \tabularnewline
0.35 & 113.126172798246 & 0.976872427736451 \tabularnewline
0.36 & 113.319459846492 & 1.0065682227228 \tabularnewline
0.37 & 113.519193251127 & 1.06402680110168 \tabularnewline
0.38 & 113.729639208737 & 1.14965215537071 \tabularnewline
0.39 & 113.954893209629 & 1.25909636734573 \tabularnewline
0.4 & 114.198263008906 & 1.38452936306482 \tabularnewline
0.41 & 114.461729911958 & 1.51592581692805 \tabularnewline
0.42 & 114.745560266881 & 1.64150814912614 \tabularnewline
0.43 & 115.048122841645 & 1.74991675300396 \tabularnewline
0.44 & 115.365943452201 & 1.83094853711722 \tabularnewline
0.45 & 115.693997858413 & 1.87686073971259 \tabularnewline
0.46 & 116.026211365424 & 1.88349060293164 \tabularnewline
0.47 & 116.35610383948 & 1.85024676434813 \tabularnewline
0.48 & 116.677497195117 & 1.78111351319694 \tabularnewline
0.49 & 116.985192829838 & 1.68326588251167 \tabularnewline
0.5 & 117.275530642624 & 1.56707791164533 \tabularnewline
0.51 & 117.546758130048 & 1.44454466706854 \tabularnewline
0.52 & 117.799164287623 & 1.32838799001022 \tabularnewline
0.53 & 118.034964103156 & 1.2307232371873 \tabularnewline
0.54 & 118.257950738658 & 1.1614014386869 \tabularnewline
0.55 & 118.472960362683 & 1.12644036570219 \tabularnewline
0.56 & 118.685216522263 & 1.12687292096717 \tabularnewline
0.57 & 118.899635410689 & 1.15807458946022 \tabularnewline
0.58 & 119.120179357691 & 1.21055652672597 \tabularnewline
0.59 & 119.349342451983 & 1.27282411205721 \tabularnewline
0.6 & 119.587838759892 & 1.33226194399709 \tabularnewline
0.61 & 119.834540291388 & 1.37805083751971 \tabularnewline
0.62 & 120.086680385465 & 1.40119555410957 \tabularnewline
0.63 & 120.340302210793 & 1.39624318983617 \tabularnewline
0.64 & 120.590896975456 & 1.3619044036145 \tabularnewline
0.65 & 120.834148188983 & 1.30071731025933 \tabularnewline
0.66 & 121.066681882937 & 1.21973480985672 \tabularnewline
0.67 & 121.286720504127 & 1.12890259530169 \tabularnewline
0.68 & 121.494549450443 & 1.04081988778894 \tabularnewline
0.69 & 121.692726464486 & 0.969435197636277 \tabularnewline
0.7 & 121.885990923346 & 0.928482915997085 \tabularnewline
0.71 & 122.080859219978 & 0.929339201723255 \tabularnewline
0.72 & 122.284923256185 & 0.97702967276663 \tabularnewline
0.73 & 122.505903178769 & 1.06873588196309 \tabularnewline
0.74 & 122.750544510118 & 1.19418722861751 \tabularnewline
0.75 & 123.02349190683 & 1.33766751273785 \tabularnewline
0.76 & 123.326308786249 & 1.48041160671727 \tabularnewline
0.77 & 123.656829547678 & 1.60247309207274 \tabularnewline
0.78 & 124.009012512841 & 1.68510623113711 \tabularnewline
0.79 & 124.373396141035 & 1.71392888835547 \tabularnewline
0.8 & 124.738151881053 & 1.68081465382666 \tabularnewline
0.81 & 125.090596494593 & 1.58600179755788 \tabularnewline
0.82 & 125.418912964936 & 1.43797013098142 \tabularnewline
0.83 & 125.713774248121 & 1.25208606014245 \tabularnewline
0.84 & 125.969596850444 & 1.04788348100019 \tabularnewline
0.85 & 126.185271459662 & 0.845836183252266 \tabularnewline
0.86 & 126.364390400518 & 0.664668257342728 \tabularnewline
0.87 & 126.515151922719 & 0.520417047834521 \tabularnewline
0.88 & 126.650190078408 & 0.427771222734334 \tabularnewline
0.89 & 126.786480653086 & 0.402465872429776 \tabularnewline
0.9 & 126.945158976226 & 0.456727780269526 \tabularnewline
0.91 & 127.150575198941 & 0.590015606860459 \tabularnewline
0.92 & 127.427388976032 & 0.789652298989398 \tabularnewline
0.93 & 127.79444086847 & 1.0268723825509 \tabularnewline
0.94 & 128.255311309701 & 1.24725255229852 \tabularnewline
0.95 & 128.788498777804 & 1.37048997417676 \tabularnewline
0.96 & 129.344089234377 & 1.31556546335871 \tabularnewline
0.97 & 129.854547936433 & 1.05497244753855 \tabularnewline
0.98 & 130.258996619057 & 0.670501185202298 \tabularnewline
0.99 & 130.524900555937 & 0.352531589513682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207381&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]107.312413469931[/C][C]0.318211939004714[/C][/ROW]
[ROW][C]0.02[/C][C]107.48044607738[/C][C]0.290461036815775[/C][/ROW]
[ROW][C]0.03[/C][C]107.653242304276[/C][C]0.284000594436362[/C][/ROW]
[ROW][C]0.04[/C][C]107.809442598788[/C][C]0.282467691363207[/C][/ROW]
[ROW][C]0.05[/C][C]107.94896164904[/C][C]0.289105060056477[/C][/ROW]
[ROW][C]0.06[/C][C]108.081229754629[/C][C]0.330654428644853[/C][/ROW]
[ROW][C]0.07[/C][C]108.219673257618[/C][C]0.426049160123931[/C][/ROW]
[ROW][C]0.08[/C][C]108.37806836863[/C][C]0.566908254406004[/C][/ROW]
[ROW][C]0.09[/C][C]108.566553885224[/C][C]0.726673964477818[/C][/ROW]
[ROW][C]0.1[/C][C]108.788366857647[/C][C]0.873766963511975[/C][/ROW]
[ROW][C]0.11[/C][C]109.038727765593[/C][C]0.979537777497103[/C][/ROW]
[ROW][C]0.12[/C][C]109.306201710613[/C][C]1.02553719605116[/C][/ROW]
[ROW][C]0.13[/C][C]109.575801071671[/C][C]1.00720279932068[/C][/ROW]
[ROW][C]0.14[/C][C]109.832616113624[/C][C]0.932944709948121[/C][/ROW]
[ROW][C]0.15[/C][C]110.064855268073[/C][C]0.820619255761989[/C][/ROW]
[ROW][C]0.16[/C][C]110.265627790052[/C][C]0.69187931748469[/C][/ROW]
[ROW][C]0.17[/C][C]110.433341738262[/C][C]0.567250865158852[/C][/ROW]
[ROW][C]0.18[/C][C]110.571005704178[/C][C]0.463648787678848[/C][/ROW]
[ROW][C]0.19[/C][C]110.684912249532[/C][C]0.393756893442521[/C][/ROW]
[ROW][C]0.2[/C][C]110.783159881016[/C][C]0.365466312130081[/C][/ROW]
[ROW][C]0.21[/C][C]110.874325651526[/C][C]0.379799840150774[/C][/ROW]
[ROW][C]0.22[/C][C]110.966431274315[/C][C]0.430191432601379[/C][/ROW]
[ROW][C]0.23[/C][C]111.066220022373[/C][C]0.506389287923482[/C][/ROW]
[ROW][C]0.24[/C][C]111.178702580175[/C][C]0.598094248431773[/C][/ROW]
[ROW][C]0.25[/C][C]111.306924768103[/C][C]0.695406377096275[/C][/ROW]
[ROW][C]0.26[/C][C]111.451930085384[/C][C]0.789464031277351[/C][/ROW]
[ROW][C]0.27[/C][C]111.612908577229[/C][C]0.871904977672392[/C][/ROW]
[ROW][C]0.28[/C][C]111.78752567358[/C][C]0.936430614428111[/C][/ROW]
[ROW][C]0.29[/C][C]111.972408866686[/C][C]0.979698909144453[/C][/ROW]
[ROW][C]0.3[/C][C]112.163744420065[/C][C]1.0012414003489[/C][/ROW]
[ROW][C]0.31[/C][C]112.357912251837[/C][C]1.00397393612169[/C][/ROW]
[ROW][C]0.32[/C][C]112.552074353687[/C][C]0.993890779431236[/C][/ROW]
[ROW][C]0.33[/C][C]112.744635239593[/C][C]0.979562254376428[/C][/ROW]
[ROW][C]0.34[/C][C]112.935511107718[/C][C]0.970626596807221[/C][/ROW]
[ROW][C]0.35[/C][C]113.126172798246[/C][C]0.976872427736451[/C][/ROW]
[ROW][C]0.36[/C][C]113.319459846492[/C][C]1.0065682227228[/C][/ROW]
[ROW][C]0.37[/C][C]113.519193251127[/C][C]1.06402680110168[/C][/ROW]
[ROW][C]0.38[/C][C]113.729639208737[/C][C]1.14965215537071[/C][/ROW]
[ROW][C]0.39[/C][C]113.954893209629[/C][C]1.25909636734573[/C][/ROW]
[ROW][C]0.4[/C][C]114.198263008906[/C][C]1.38452936306482[/C][/ROW]
[ROW][C]0.41[/C][C]114.461729911958[/C][C]1.51592581692805[/C][/ROW]
[ROW][C]0.42[/C][C]114.745560266881[/C][C]1.64150814912614[/C][/ROW]
[ROW][C]0.43[/C][C]115.048122841645[/C][C]1.74991675300396[/C][/ROW]
[ROW][C]0.44[/C][C]115.365943452201[/C][C]1.83094853711722[/C][/ROW]
[ROW][C]0.45[/C][C]115.693997858413[/C][C]1.87686073971259[/C][/ROW]
[ROW][C]0.46[/C][C]116.026211365424[/C][C]1.88349060293164[/C][/ROW]
[ROW][C]0.47[/C][C]116.35610383948[/C][C]1.85024676434813[/C][/ROW]
[ROW][C]0.48[/C][C]116.677497195117[/C][C]1.78111351319694[/C][/ROW]
[ROW][C]0.49[/C][C]116.985192829838[/C][C]1.68326588251167[/C][/ROW]
[ROW][C]0.5[/C][C]117.275530642624[/C][C]1.56707791164533[/C][/ROW]
[ROW][C]0.51[/C][C]117.546758130048[/C][C]1.44454466706854[/C][/ROW]
[ROW][C]0.52[/C][C]117.799164287623[/C][C]1.32838799001022[/C][/ROW]
[ROW][C]0.53[/C][C]118.034964103156[/C][C]1.2307232371873[/C][/ROW]
[ROW][C]0.54[/C][C]118.257950738658[/C][C]1.1614014386869[/C][/ROW]
[ROW][C]0.55[/C][C]118.472960362683[/C][C]1.12644036570219[/C][/ROW]
[ROW][C]0.56[/C][C]118.685216522263[/C][C]1.12687292096717[/C][/ROW]
[ROW][C]0.57[/C][C]118.899635410689[/C][C]1.15807458946022[/C][/ROW]
[ROW][C]0.58[/C][C]119.120179357691[/C][C]1.21055652672597[/C][/ROW]
[ROW][C]0.59[/C][C]119.349342451983[/C][C]1.27282411205721[/C][/ROW]
[ROW][C]0.6[/C][C]119.587838759892[/C][C]1.33226194399709[/C][/ROW]
[ROW][C]0.61[/C][C]119.834540291388[/C][C]1.37805083751971[/C][/ROW]
[ROW][C]0.62[/C][C]120.086680385465[/C][C]1.40119555410957[/C][/ROW]
[ROW][C]0.63[/C][C]120.340302210793[/C][C]1.39624318983617[/C][/ROW]
[ROW][C]0.64[/C][C]120.590896975456[/C][C]1.3619044036145[/C][/ROW]
[ROW][C]0.65[/C][C]120.834148188983[/C][C]1.30071731025933[/C][/ROW]
[ROW][C]0.66[/C][C]121.066681882937[/C][C]1.21973480985672[/C][/ROW]
[ROW][C]0.67[/C][C]121.286720504127[/C][C]1.12890259530169[/C][/ROW]
[ROW][C]0.68[/C][C]121.494549450443[/C][C]1.04081988778894[/C][/ROW]
[ROW][C]0.69[/C][C]121.692726464486[/C][C]0.969435197636277[/C][/ROW]
[ROW][C]0.7[/C][C]121.885990923346[/C][C]0.928482915997085[/C][/ROW]
[ROW][C]0.71[/C][C]122.080859219978[/C][C]0.929339201723255[/C][/ROW]
[ROW][C]0.72[/C][C]122.284923256185[/C][C]0.97702967276663[/C][/ROW]
[ROW][C]0.73[/C][C]122.505903178769[/C][C]1.06873588196309[/C][/ROW]
[ROW][C]0.74[/C][C]122.750544510118[/C][C]1.19418722861751[/C][/ROW]
[ROW][C]0.75[/C][C]123.02349190683[/C][C]1.33766751273785[/C][/ROW]
[ROW][C]0.76[/C][C]123.326308786249[/C][C]1.48041160671727[/C][/ROW]
[ROW][C]0.77[/C][C]123.656829547678[/C][C]1.60247309207274[/C][/ROW]
[ROW][C]0.78[/C][C]124.009012512841[/C][C]1.68510623113711[/C][/ROW]
[ROW][C]0.79[/C][C]124.373396141035[/C][C]1.71392888835547[/C][/ROW]
[ROW][C]0.8[/C][C]124.738151881053[/C][C]1.68081465382666[/C][/ROW]
[ROW][C]0.81[/C][C]125.090596494593[/C][C]1.58600179755788[/C][/ROW]
[ROW][C]0.82[/C][C]125.418912964936[/C][C]1.43797013098142[/C][/ROW]
[ROW][C]0.83[/C][C]125.713774248121[/C][C]1.25208606014245[/C][/ROW]
[ROW][C]0.84[/C][C]125.969596850444[/C][C]1.04788348100019[/C][/ROW]
[ROW][C]0.85[/C][C]126.185271459662[/C][C]0.845836183252266[/C][/ROW]
[ROW][C]0.86[/C][C]126.364390400518[/C][C]0.664668257342728[/C][/ROW]
[ROW][C]0.87[/C][C]126.515151922719[/C][C]0.520417047834521[/C][/ROW]
[ROW][C]0.88[/C][C]126.650190078408[/C][C]0.427771222734334[/C][/ROW]
[ROW][C]0.89[/C][C]126.786480653086[/C][C]0.402465872429776[/C][/ROW]
[ROW][C]0.9[/C][C]126.945158976226[/C][C]0.456727780269526[/C][/ROW]
[ROW][C]0.91[/C][C]127.150575198941[/C][C]0.590015606860459[/C][/ROW]
[ROW][C]0.92[/C][C]127.427388976032[/C][C]0.789652298989398[/C][/ROW]
[ROW][C]0.93[/C][C]127.79444086847[/C][C]1.0268723825509[/C][/ROW]
[ROW][C]0.94[/C][C]128.255311309701[/C][C]1.24725255229852[/C][/ROW]
[ROW][C]0.95[/C][C]128.788498777804[/C][C]1.37048997417676[/C][/ROW]
[ROW][C]0.96[/C][C]129.344089234377[/C][C]1.31556546335871[/C][/ROW]
[ROW][C]0.97[/C][C]129.854547936433[/C][C]1.05497244753855[/C][/ROW]
[ROW][C]0.98[/C][C]130.258996619057[/C][C]0.670501185202298[/C][/ROW]
[ROW][C]0.99[/C][C]130.524900555937[/C][C]0.352531589513682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207381&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207381&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
0.01107.3124134699310.318211939004714
0.02107.480446077380.290461036815775
0.03107.6532423042760.284000594436362
0.04107.8094425987880.282467691363207
0.05107.948961649040.289105060056477
0.06108.0812297546290.330654428644853
0.07108.2196732576180.426049160123931
0.08108.378068368630.566908254406004
0.09108.5665538852240.726673964477818
0.1108.7883668576470.873766963511975
0.11109.0387277655930.979537777497103
0.12109.3062017106131.02553719605116
0.13109.5758010716711.00720279932068
0.14109.8326161136240.932944709948121
0.15110.0648552680730.820619255761989
0.16110.2656277900520.69187931748469
0.17110.4333417382620.567250865158852
0.18110.5710057041780.463648787678848
0.19110.6849122495320.393756893442521
0.2110.7831598810160.365466312130081
0.21110.8743256515260.379799840150774
0.22110.9664312743150.430191432601379
0.23111.0662200223730.506389287923482
0.24111.1787025801750.598094248431773
0.25111.3069247681030.695406377096275
0.26111.4519300853840.789464031277351
0.27111.6129085772290.871904977672392
0.28111.787525673580.936430614428111
0.29111.9724088666860.979698909144453
0.3112.1637444200651.0012414003489
0.31112.3579122518371.00397393612169
0.32112.5520743536870.993890779431236
0.33112.7446352395930.979562254376428
0.34112.9355111077180.970626596807221
0.35113.1261727982460.976872427736451
0.36113.3194598464921.0065682227228
0.37113.5191932511271.06402680110168
0.38113.7296392087371.14965215537071
0.39113.9548932096291.25909636734573
0.4114.1982630089061.38452936306482
0.41114.4617299119581.51592581692805
0.42114.7455602668811.64150814912614
0.43115.0481228416451.74991675300396
0.44115.3659434522011.83094853711722
0.45115.6939978584131.87686073971259
0.46116.0262113654241.88349060293164
0.47116.356103839481.85024676434813
0.48116.6774971951171.78111351319694
0.49116.9851928298381.68326588251167
0.5117.2755306426241.56707791164533
0.51117.5467581300481.44454466706854
0.52117.7991642876231.32838799001022
0.53118.0349641031561.2307232371873
0.54118.2579507386581.1614014386869
0.55118.4729603626831.12644036570219
0.56118.6852165222631.12687292096717
0.57118.8996354106891.15807458946022
0.58119.1201793576911.21055652672597
0.59119.3493424519831.27282411205721
0.6119.5878387598921.33226194399709
0.61119.8345402913881.37805083751971
0.62120.0866803854651.40119555410957
0.63120.3403022107931.39624318983617
0.64120.5908969754561.3619044036145
0.65120.8341481889831.30071731025933
0.66121.0666818829371.21973480985672
0.67121.2867205041271.12890259530169
0.68121.4945494504431.04081988778894
0.69121.6927264644860.969435197636277
0.7121.8859909233460.928482915997085
0.71122.0808592199780.929339201723255
0.72122.2849232561850.97702967276663
0.73122.5059031787691.06873588196309
0.74122.7505445101181.19418722861751
0.75123.023491906831.33766751273785
0.76123.3263087862491.48041160671727
0.77123.6568295476781.60247309207274
0.78124.0090125128411.68510623113711
0.79124.3733961410351.71392888835547
0.8124.7381518810531.68081465382666
0.81125.0905964945931.58600179755788
0.82125.4189129649361.43797013098142
0.83125.7137742481211.25208606014245
0.84125.9695968504441.04788348100019
0.85126.1852714596620.845836183252266
0.86126.3643904005180.664668257342728
0.87126.5151519227190.520417047834521
0.88126.6501900784080.427771222734334
0.89126.7864806530860.402465872429776
0.9126.9451589762260.456727780269526
0.91127.1505751989410.590015606860459
0.92127.4273889760320.789652298989398
0.93127.794440868471.0268723825509
0.94128.2553113097011.24725255229852
0.95128.7884987778041.37048997417676
0.96129.3440892343771.31556546335871
0.97129.8545479364331.05497244753855
0.98130.2589966190570.670501185202298
0.99130.5249005559370.352531589513682


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')