FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 12:49:39 +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/t147558188464e9o8yrsl6bmd8.htm/, Retrieved Tue, 21 May 2024 10:32:20 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 10:32:20 +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 
88
90
82
75
79
70
71
75
89
92
94
90
102
98
100
98
100
91
93
92
106
109
108
108
118
119
124
118
119
113
114
115
125
125
118
122
132
133
136
128
126
114
108
107
117
119
113
114
124
125
124
118
111
99
94
93
107
107
103
97

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
0.0170.46502564450511.51471871523272
0.0271.33433550554662.28586714303869
0.0372.50755948532262.95911782447506
0.0473.87439605403663.51372475574338
0.0575.36067923358344.05401652800046
0.0676.92673495634234.59808179559805
0.0778.54619840027445.06373451164987
0.0880.18776109578495.35202984814011
0.0981.80927049944925.40613044449843
0.183.36275435992495.22556722685279
0.1184.80408966502464.85555138122933
0.1286.10145346392244.36614249230798
0.1387.23952852529183.83253821299982
0.1488.21921523928243.3195208016142
0.1589.05421601305382.87370493856998
0.1689.76628918027732.52086902294711
0.1790.38065149144382.26838649698065
0.1890.92239929380422.11047408283753
0.1991.41423130186772.03395830987907
0.291.87534413274752.02334836858862
0.2192.32116998815462.06470533497496
0.2292.76359693897252.14536603079698
0.2393.21138887633812.25418102079521
0.2493.67063701031072.38072793248577
0.2594.1451782176532.51567243520391
0.2694.63698170699712.65066855485131
0.2795.14652976527392.77920109646695
0.2895.67321041859712.896896678157
0.2996.2157156897163.0023094069258
0.396.77241456801633.09596614735053
0.3197.34165619509673.18018086586301
0.3297.9219612138323.25797339666573
0.3398.51207674734963.33186578979795
0.3499.11089754777743.40289683272356
0.3599.71728469032753.46982115753967
0.36100.3298360599283.52943805299647
0.37100.9466740400173.57663552353072
0.38101.5653126667133.60570537556476
0.39102.1826498990783.61121937328559
0.4102.7951043686223.58945842691594
0.41103.3988856857723.53916106219477
0.42103.9903593300473.46199359825946
0.43104.5664468211933.36298608103173
0.44105.1249929827823.24949812728912
0.45105.6650360412433.1310299146711
0.46106.1869319829923.01772263209583
0.47106.6923088632512.91905137918212
0.48107.1838550652782.84273171272224
0.49107.6649727593222.79286608010573
0.5108.139349277062.77009257216282
0.51108.6105112033252.77084714657648
0.52109.0814267892322.78880937732168
0.53109.5542118802732.81587000904477
0.54110.0299749522932.84357958840094
0.55110.5088117070992.86461786605567
0.56110.9899336761882.87350753080155
0.57111.4718933184112.86739747386453
0.58111.9528543954512.84539194781501
0.59112.4308536491222.80887810882687
0.6112.9040084955232.760477542871
0.61113.3706436868312.70310097901944
0.62113.8293336081072.63944177629832
0.63114.2788806162152.57108146448855
0.64114.7182678890862.49853547479475
0.65115.1466329864082.42155202940989
0.66115.5633032657152.33963818402621
0.67115.9679168629992.25321094888739
0.68116.360626467972.16418437175828
0.69116.7423532442882.07677748477551
0.7117.1150317998161.99748722447597
0.71117.4817707752331.93463858545855
0.72117.8468526061181.89708919557277
0.73118.2155130441141.8924066750331
0.74118.5934756320961.92434085821838
0.75118.9862645179541.99093434825413
0.76119.3983732536632.08366409326696
0.77119.8324171105652.1884996418124
0.78120.2884299712122.28803302130647
0.79120.7634730340032.36394141869316
0.8121.2516947830052.39979668194826
0.81121.7449211245562.38400125647934
0.82122.2337720073432.31178373060225
0.83122.7092147440822.18663365647318
0.84123.1643947547632.02069249858828
0.85123.5965437126131.83391088490917
0.86124.0087480774011.65314024695874
0.87124.4113424745571.51083938071074
0.88124.8226364138861.44346185495513
0.89125.268570577821.48481622035431
0.9125.7807751559371.65237869988656
0.91126.3925289338211.93586459506272
0.92127.1325842279012.29488141376764
0.93128.0180061806012.66044552893098
0.94129.0488730250152.94182329728644
0.95130.2084022272673.05053308725086
0.96131.4686216571462.94995270571725
0.97132.7916708079192.7209409697224
0.98134.106910681782.58317036029278
0.99135.2599675689722.70949002945469

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 70.4650256445051 & 1.51471871523272 \tabularnewline
0.02 & 71.3343355055466 & 2.28586714303869 \tabularnewline
0.03 & 72.5075594853226 & 2.95911782447506 \tabularnewline
0.04 & 73.8743960540366 & 3.51372475574338 \tabularnewline
0.05 & 75.3606792335834 & 4.05401652800046 \tabularnewline
0.06 & 76.9267349563423 & 4.59808179559805 \tabularnewline
0.07 & 78.5461984002744 & 5.06373451164987 \tabularnewline
0.08 & 80.1877610957849 & 5.35202984814011 \tabularnewline
0.09 & 81.8092704994492 & 5.40613044449843 \tabularnewline
0.1 & 83.3627543599249 & 5.22556722685279 \tabularnewline
0.11 & 84.8040896650246 & 4.85555138122933 \tabularnewline
0.12 & 86.1014534639224 & 4.36614249230798 \tabularnewline
0.13 & 87.2395285252918 & 3.83253821299982 \tabularnewline
0.14 & 88.2192152392824 & 3.3195208016142 \tabularnewline
0.15 & 89.0542160130538 & 2.87370493856998 \tabularnewline
0.16 & 89.7662891802773 & 2.52086902294711 \tabularnewline
0.17 & 90.3806514914438 & 2.26838649698065 \tabularnewline
0.18 & 90.9223992938042 & 2.11047408283753 \tabularnewline
0.19 & 91.4142313018677 & 2.03395830987907 \tabularnewline
0.2 & 91.8753441327475 & 2.02334836858862 \tabularnewline
0.21 & 92.3211699881546 & 2.06470533497496 \tabularnewline
0.22 & 92.7635969389725 & 2.14536603079698 \tabularnewline
0.23 & 93.2113888763381 & 2.25418102079521 \tabularnewline
0.24 & 93.6706370103107 & 2.38072793248577 \tabularnewline
0.25 & 94.145178217653 & 2.51567243520391 \tabularnewline
0.26 & 94.6369817069971 & 2.65066855485131 \tabularnewline
0.27 & 95.1465297652739 & 2.77920109646695 \tabularnewline
0.28 & 95.6732104185971 & 2.896896678157 \tabularnewline
0.29 & 96.215715689716 & 3.0023094069258 \tabularnewline
0.3 & 96.7724145680163 & 3.09596614735053 \tabularnewline
0.31 & 97.3416561950967 & 3.18018086586301 \tabularnewline
0.32 & 97.921961213832 & 3.25797339666573 \tabularnewline
0.33 & 98.5120767473496 & 3.33186578979795 \tabularnewline
0.34 & 99.1108975477774 & 3.40289683272356 \tabularnewline
0.35 & 99.7172846903275 & 3.46982115753967 \tabularnewline
0.36 & 100.329836059928 & 3.52943805299647 \tabularnewline
0.37 & 100.946674040017 & 3.57663552353072 \tabularnewline
0.38 & 101.565312666713 & 3.60570537556476 \tabularnewline
0.39 & 102.182649899078 & 3.61121937328559 \tabularnewline
0.4 & 102.795104368622 & 3.58945842691594 \tabularnewline
0.41 & 103.398885685772 & 3.53916106219477 \tabularnewline
0.42 & 103.990359330047 & 3.46199359825946 \tabularnewline
0.43 & 104.566446821193 & 3.36298608103173 \tabularnewline
0.44 & 105.124992982782 & 3.24949812728912 \tabularnewline
0.45 & 105.665036041243 & 3.1310299146711 \tabularnewline
0.46 & 106.186931982992 & 3.01772263209583 \tabularnewline
0.47 & 106.692308863251 & 2.91905137918212 \tabularnewline
0.48 & 107.183855065278 & 2.84273171272224 \tabularnewline
0.49 & 107.664972759322 & 2.79286608010573 \tabularnewline
0.5 & 108.13934927706 & 2.77009257216282 \tabularnewline
0.51 & 108.610511203325 & 2.77084714657648 \tabularnewline
0.52 & 109.081426789232 & 2.78880937732168 \tabularnewline
0.53 & 109.554211880273 & 2.81587000904477 \tabularnewline
0.54 & 110.029974952293 & 2.84357958840094 \tabularnewline
0.55 & 110.508811707099 & 2.86461786605567 \tabularnewline
0.56 & 110.989933676188 & 2.87350753080155 \tabularnewline
0.57 & 111.471893318411 & 2.86739747386453 \tabularnewline
0.58 & 111.952854395451 & 2.84539194781501 \tabularnewline
0.59 & 112.430853649122 & 2.80887810882687 \tabularnewline
0.6 & 112.904008495523 & 2.760477542871 \tabularnewline
0.61 & 113.370643686831 & 2.70310097901944 \tabularnewline
0.62 & 113.829333608107 & 2.63944177629832 \tabularnewline
0.63 & 114.278880616215 & 2.57108146448855 \tabularnewline
0.64 & 114.718267889086 & 2.49853547479475 \tabularnewline
0.65 & 115.146632986408 & 2.42155202940989 \tabularnewline
0.66 & 115.563303265715 & 2.33963818402621 \tabularnewline
0.67 & 115.967916862999 & 2.25321094888739 \tabularnewline
0.68 & 116.36062646797 & 2.16418437175828 \tabularnewline
0.69 & 116.742353244288 & 2.07677748477551 \tabularnewline
0.7 & 117.115031799816 & 1.99748722447597 \tabularnewline
0.71 & 117.481770775233 & 1.93463858545855 \tabularnewline
0.72 & 117.846852606118 & 1.89708919557277 \tabularnewline
0.73 & 118.215513044114 & 1.8924066750331 \tabularnewline
0.74 & 118.593475632096 & 1.92434085821838 \tabularnewline
0.75 & 118.986264517954 & 1.99093434825413 \tabularnewline
0.76 & 119.398373253663 & 2.08366409326696 \tabularnewline
0.77 & 119.832417110565 & 2.1884996418124 \tabularnewline
0.78 & 120.288429971212 & 2.28803302130647 \tabularnewline
0.79 & 120.763473034003 & 2.36394141869316 \tabularnewline
0.8 & 121.251694783005 & 2.39979668194826 \tabularnewline
0.81 & 121.744921124556 & 2.38400125647934 \tabularnewline
0.82 & 122.233772007343 & 2.31178373060225 \tabularnewline
0.83 & 122.709214744082 & 2.18663365647318 \tabularnewline
0.84 & 123.164394754763 & 2.02069249858828 \tabularnewline
0.85 & 123.596543712613 & 1.83391088490917 \tabularnewline
0.86 & 124.008748077401 & 1.65314024695874 \tabularnewline
0.87 & 124.411342474557 & 1.51083938071074 \tabularnewline
0.88 & 124.822636413886 & 1.44346185495513 \tabularnewline
0.89 & 125.26857057782 & 1.48481622035431 \tabularnewline
0.9 & 125.780775155937 & 1.65237869988656 \tabularnewline
0.91 & 126.392528933821 & 1.93586459506272 \tabularnewline
0.92 & 127.132584227901 & 2.29488141376764 \tabularnewline
0.93 & 128.018006180601 & 2.66044552893098 \tabularnewline
0.94 & 129.048873025015 & 2.94182329728644 \tabularnewline
0.95 & 130.208402227267 & 3.05053308725086 \tabularnewline
0.96 & 131.468621657146 & 2.94995270571725 \tabularnewline
0.97 & 132.791670807919 & 2.7209409697224 \tabularnewline
0.98 & 134.10691068178 & 2.58317036029278 \tabularnewline
0.99 & 135.259967568972 & 2.70949002945469 \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]70.4650256445051[/C][C]1.51471871523272[/C][/ROW]
[ROW][C]0.02[/C][C]71.3343355055466[/C][C]2.28586714303869[/C][/ROW]
[ROW][C]0.03[/C][C]72.5075594853226[/C][C]2.95911782447506[/C][/ROW]
[ROW][C]0.04[/C][C]73.8743960540366[/C][C]3.51372475574338[/C][/ROW]
[ROW][C]0.05[/C][C]75.3606792335834[/C][C]4.05401652800046[/C][/ROW]
[ROW][C]0.06[/C][C]76.9267349563423[/C][C]4.59808179559805[/C][/ROW]
[ROW][C]0.07[/C][C]78.5461984002744[/C][C]5.06373451164987[/C][/ROW]
[ROW][C]0.08[/C][C]80.1877610957849[/C][C]5.35202984814011[/C][/ROW]
[ROW][C]0.09[/C][C]81.8092704994492[/C][C]5.40613044449843[/C][/ROW]
[ROW][C]0.1[/C][C]83.3627543599249[/C][C]5.22556722685279[/C][/ROW]
[ROW][C]0.11[/C][C]84.8040896650246[/C][C]4.85555138122933[/C][/ROW]
[ROW][C]0.12[/C][C]86.1014534639224[/C][C]4.36614249230798[/C][/ROW]
[ROW][C]0.13[/C][C]87.2395285252918[/C][C]3.83253821299982[/C][/ROW]
[ROW][C]0.14[/C][C]88.2192152392824[/C][C]3.3195208016142[/C][/ROW]
[ROW][C]0.15[/C][C]89.0542160130538[/C][C]2.87370493856998[/C][/ROW]
[ROW][C]0.16[/C][C]89.7662891802773[/C][C]2.52086902294711[/C][/ROW]
[ROW][C]0.17[/C][C]90.3806514914438[/C][C]2.26838649698065[/C][/ROW]
[ROW][C]0.18[/C][C]90.9223992938042[/C][C]2.11047408283753[/C][/ROW]
[ROW][C]0.19[/C][C]91.4142313018677[/C][C]2.03395830987907[/C][/ROW]
[ROW][C]0.2[/C][C]91.8753441327475[/C][C]2.02334836858862[/C][/ROW]
[ROW][C]0.21[/C][C]92.3211699881546[/C][C]2.06470533497496[/C][/ROW]
[ROW][C]0.22[/C][C]92.7635969389725[/C][C]2.14536603079698[/C][/ROW]
[ROW][C]0.23[/C][C]93.2113888763381[/C][C]2.25418102079521[/C][/ROW]
[ROW][C]0.24[/C][C]93.6706370103107[/C][C]2.38072793248577[/C][/ROW]
[ROW][C]0.25[/C][C]94.145178217653[/C][C]2.51567243520391[/C][/ROW]
[ROW][C]0.26[/C][C]94.6369817069971[/C][C]2.65066855485131[/C][/ROW]
[ROW][C]0.27[/C][C]95.1465297652739[/C][C]2.77920109646695[/C][/ROW]
[ROW][C]0.28[/C][C]95.6732104185971[/C][C]2.896896678157[/C][/ROW]
[ROW][C]0.29[/C][C]96.215715689716[/C][C]3.0023094069258[/C][/ROW]
[ROW][C]0.3[/C][C]96.7724145680163[/C][C]3.09596614735053[/C][/ROW]
[ROW][C]0.31[/C][C]97.3416561950967[/C][C]3.18018086586301[/C][/ROW]
[ROW][C]0.32[/C][C]97.921961213832[/C][C]3.25797339666573[/C][/ROW]
[ROW][C]0.33[/C][C]98.5120767473496[/C][C]3.33186578979795[/C][/ROW]
[ROW][C]0.34[/C][C]99.1108975477774[/C][C]3.40289683272356[/C][/ROW]
[ROW][C]0.35[/C][C]99.7172846903275[/C][C]3.46982115753967[/C][/ROW]
[ROW][C]0.36[/C][C]100.329836059928[/C][C]3.52943805299647[/C][/ROW]
[ROW][C]0.37[/C][C]100.946674040017[/C][C]3.57663552353072[/C][/ROW]
[ROW][C]0.38[/C][C]101.565312666713[/C][C]3.60570537556476[/C][/ROW]
[ROW][C]0.39[/C][C]102.182649899078[/C][C]3.61121937328559[/C][/ROW]
[ROW][C]0.4[/C][C]102.795104368622[/C][C]3.58945842691594[/C][/ROW]
[ROW][C]0.41[/C][C]103.398885685772[/C][C]3.53916106219477[/C][/ROW]
[ROW][C]0.42[/C][C]103.990359330047[/C][C]3.46199359825946[/C][/ROW]
[ROW][C]0.43[/C][C]104.566446821193[/C][C]3.36298608103173[/C][/ROW]
[ROW][C]0.44[/C][C]105.124992982782[/C][C]3.24949812728912[/C][/ROW]
[ROW][C]0.45[/C][C]105.665036041243[/C][C]3.1310299146711[/C][/ROW]
[ROW][C]0.46[/C][C]106.186931982992[/C][C]3.01772263209583[/C][/ROW]
[ROW][C]0.47[/C][C]106.692308863251[/C][C]2.91905137918212[/C][/ROW]
[ROW][C]0.48[/C][C]107.183855065278[/C][C]2.84273171272224[/C][/ROW]
[ROW][C]0.49[/C][C]107.664972759322[/C][C]2.79286608010573[/C][/ROW]
[ROW][C]0.5[/C][C]108.13934927706[/C][C]2.77009257216282[/C][/ROW]
[ROW][C]0.51[/C][C]108.610511203325[/C][C]2.77084714657648[/C][/ROW]
[ROW][C]0.52[/C][C]109.081426789232[/C][C]2.78880937732168[/C][/ROW]
[ROW][C]0.53[/C][C]109.554211880273[/C][C]2.81587000904477[/C][/ROW]
[ROW][C]0.54[/C][C]110.029974952293[/C][C]2.84357958840094[/C][/ROW]
[ROW][C]0.55[/C][C]110.508811707099[/C][C]2.86461786605567[/C][/ROW]
[ROW][C]0.56[/C][C]110.989933676188[/C][C]2.87350753080155[/C][/ROW]
[ROW][C]0.57[/C][C]111.471893318411[/C][C]2.86739747386453[/C][/ROW]
[ROW][C]0.58[/C][C]111.952854395451[/C][C]2.84539194781501[/C][/ROW]
[ROW][C]0.59[/C][C]112.430853649122[/C][C]2.80887810882687[/C][/ROW]
[ROW][C]0.6[/C][C]112.904008495523[/C][C]2.760477542871[/C][/ROW]
[ROW][C]0.61[/C][C]113.370643686831[/C][C]2.70310097901944[/C][/ROW]
[ROW][C]0.62[/C][C]113.829333608107[/C][C]2.63944177629832[/C][/ROW]
[ROW][C]0.63[/C][C]114.278880616215[/C][C]2.57108146448855[/C][/ROW]
[ROW][C]0.64[/C][C]114.718267889086[/C][C]2.49853547479475[/C][/ROW]
[ROW][C]0.65[/C][C]115.146632986408[/C][C]2.42155202940989[/C][/ROW]
[ROW][C]0.66[/C][C]115.563303265715[/C][C]2.33963818402621[/C][/ROW]
[ROW][C]0.67[/C][C]115.967916862999[/C][C]2.25321094888739[/C][/ROW]
[ROW][C]0.68[/C][C]116.36062646797[/C][C]2.16418437175828[/C][/ROW]
[ROW][C]0.69[/C][C]116.742353244288[/C][C]2.07677748477551[/C][/ROW]
[ROW][C]0.7[/C][C]117.115031799816[/C][C]1.99748722447597[/C][/ROW]
[ROW][C]0.71[/C][C]117.481770775233[/C][C]1.93463858545855[/C][/ROW]
[ROW][C]0.72[/C][C]117.846852606118[/C][C]1.89708919557277[/C][/ROW]
[ROW][C]0.73[/C][C]118.215513044114[/C][C]1.8924066750331[/C][/ROW]
[ROW][C]0.74[/C][C]118.593475632096[/C][C]1.92434085821838[/C][/ROW]
[ROW][C]0.75[/C][C]118.986264517954[/C][C]1.99093434825413[/C][/ROW]
[ROW][C]0.76[/C][C]119.398373253663[/C][C]2.08366409326696[/C][/ROW]
[ROW][C]0.77[/C][C]119.832417110565[/C][C]2.1884996418124[/C][/ROW]
[ROW][C]0.78[/C][C]120.288429971212[/C][C]2.28803302130647[/C][/ROW]
[ROW][C]0.79[/C][C]120.763473034003[/C][C]2.36394141869316[/C][/ROW]
[ROW][C]0.8[/C][C]121.251694783005[/C][C]2.39979668194826[/C][/ROW]
[ROW][C]0.81[/C][C]121.744921124556[/C][C]2.38400125647934[/C][/ROW]
[ROW][C]0.82[/C][C]122.233772007343[/C][C]2.31178373060225[/C][/ROW]
[ROW][C]0.83[/C][C]122.709214744082[/C][C]2.18663365647318[/C][/ROW]
[ROW][C]0.84[/C][C]123.164394754763[/C][C]2.02069249858828[/C][/ROW]
[ROW][C]0.85[/C][C]123.596543712613[/C][C]1.83391088490917[/C][/ROW]
[ROW][C]0.86[/C][C]124.008748077401[/C][C]1.65314024695874[/C][/ROW]
[ROW][C]0.87[/C][C]124.411342474557[/C][C]1.51083938071074[/C][/ROW]
[ROW][C]0.88[/C][C]124.822636413886[/C][C]1.44346185495513[/C][/ROW]
[ROW][C]0.89[/C][C]125.26857057782[/C][C]1.48481622035431[/C][/ROW]
[ROW][C]0.9[/C][C]125.780775155937[/C][C]1.65237869988656[/C][/ROW]
[ROW][C]0.91[/C][C]126.392528933821[/C][C]1.93586459506272[/C][/ROW]
[ROW][C]0.92[/C][C]127.132584227901[/C][C]2.29488141376764[/C][/ROW]
[ROW][C]0.93[/C][C]128.018006180601[/C][C]2.66044552893098[/C][/ROW]
[ROW][C]0.94[/C][C]129.048873025015[/C][C]2.94182329728644[/C][/ROW]
[ROW][C]0.95[/C][C]130.208402227267[/C][C]3.05053308725086[/C][/ROW]
[ROW][C]0.96[/C][C]131.468621657146[/C][C]2.94995270571725[/C][/ROW]
[ROW][C]0.97[/C][C]132.791670807919[/C][C]2.7209409697224[/C][/ROW]
[ROW][C]0.98[/C][C]134.10691068178[/C][C]2.58317036029278[/C][/ROW]
[ROW][C]0.99[/C][C]135.259967568972[/C][C]2.70949002945469[/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
0.0170.46502564450511.51471871523272
0.0271.33433550554662.28586714303869
0.0372.50755948532262.95911782447506
0.0473.87439605403663.51372475574338
0.0575.36067923358344.05401652800046
0.0676.92673495634234.59808179559805
0.0778.54619840027445.06373451164987
0.0880.18776109578495.35202984814011
0.0981.80927049944925.40613044449843
0.183.36275435992495.22556722685279
0.1184.80408966502464.85555138122933
0.1286.10145346392244.36614249230798
0.1387.23952852529183.83253821299982
0.1488.21921523928243.3195208016142
0.1589.05421601305382.87370493856998
0.1689.76628918027732.52086902294711
0.1790.38065149144382.26838649698065
0.1890.92239929380422.11047408283753
0.1991.41423130186772.03395830987907
0.291.87534413274752.02334836858862
0.2192.32116998815462.06470533497496
0.2292.76359693897252.14536603079698
0.2393.21138887633812.25418102079521
0.2493.67063701031072.38072793248577
0.2594.1451782176532.51567243520391
0.2694.63698170699712.65066855485131
0.2795.14652976527392.77920109646695
0.2895.67321041859712.896896678157
0.2996.2157156897163.0023094069258
0.396.77241456801633.09596614735053
0.3197.34165619509673.18018086586301
0.3297.9219612138323.25797339666573
0.3398.51207674734963.33186578979795
0.3499.11089754777743.40289683272356
0.3599.71728469032753.46982115753967
0.36100.3298360599283.52943805299647
0.37100.9466740400173.57663552353072
0.38101.5653126667133.60570537556476
0.39102.1826498990783.61121937328559
0.4102.7951043686223.58945842691594
0.41103.3988856857723.53916106219477
0.42103.9903593300473.46199359825946
0.43104.5664468211933.36298608103173
0.44105.1249929827823.24949812728912
0.45105.6650360412433.1310299146711
0.46106.1869319829923.01772263209583
0.47106.6923088632512.91905137918212
0.48107.1838550652782.84273171272224
0.49107.6649727593222.79286608010573
0.5108.139349277062.77009257216282
0.51108.6105112033252.77084714657648
0.52109.0814267892322.78880937732168
0.53109.5542118802732.81587000904477
0.54110.0299749522932.84357958840094
0.55110.5088117070992.86461786605567
0.56110.9899336761882.87350753080155
0.57111.4718933184112.86739747386453
0.58111.9528543954512.84539194781501
0.59112.4308536491222.80887810882687
0.6112.9040084955232.760477542871
0.61113.3706436868312.70310097901944
0.62113.8293336081072.63944177629832
0.63114.2788806162152.57108146448855
0.64114.7182678890862.49853547479475
0.65115.1466329864082.42155202940989
0.66115.5633032657152.33963818402621
0.67115.9679168629992.25321094888739
0.68116.360626467972.16418437175828
0.69116.7423532442882.07677748477551
0.7117.1150317998161.99748722447597
0.71117.4817707752331.93463858545855
0.72117.8468526061181.89708919557277
0.73118.2155130441141.8924066750331
0.74118.5934756320961.92434085821838
0.75118.9862645179541.99093434825413
0.76119.3983732536632.08366409326696
0.77119.8324171105652.1884996418124
0.78120.2884299712122.28803302130647
0.79120.7634730340032.36394141869316
0.8121.2516947830052.39979668194826
0.81121.7449211245562.38400125647934
0.82122.2337720073432.31178373060225
0.83122.7092147440822.18663365647318
0.84123.1643947547632.02069249858828
0.85123.5965437126131.83391088490917
0.86124.0087480774011.65314024695874
0.87124.4113424745571.51083938071074
0.88124.8226364138861.44346185495513
0.89125.268570577821.48481622035431
0.9125.7807751559371.65237869988656
0.91126.3925289338211.93586459506272
0.92127.1325842279012.29488141376764
0.93128.0180061806012.66044552893098
0.94129.0488730250152.94182329728644
0.95130.2084022272673.05053308725086
0.96131.4686216571462.94995270571725
0.97132.7916708079192.7209409697224
0.98134.106910681782.58317036029278
0.99135.2599675689722.70949002945469


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')