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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 computationSat, 27 Feb 2016 17:28:14 +0000
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/Feb/27/t1456594110nk7lo24zeei0z58.htm/, Retrieved Sat, 27 Apr 2024 12:12:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292912, Retrieved Sat, 27 Apr 2024 12:12:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61

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] [] [2016-02-27 17:28:14] [60c466f2753cef60360c0cd0685abd02] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.91
94.27
94.55
94.66
94.78
94.91
95.2
95.48
95.56
95.75
95.91
96.16
96.32
96.58
97.08
97.22
97.49
97.62
97.83
98.12
98.29
98.47
98.64
98.67
98.82
99.17
99.38
99.53
99.54
99.76
100.02
100.22
100.55
100.94
100.99
101.07
101.19
101.94
102.25
102.49
102.58
102.74
103.01
103.19
103.44
103.62
103.74
103.82
103.96
104.7
105.13
105.26
105.44
105.73
105.83
105.97
106.13
106.49
106.74
106.82

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292912&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292912&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292912&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.0010124740310.331846216386928
0.0294.13912099835480.305190125840367
0.0394.28845052541730.283358339428904
0.0494.42803477154410.269880328202304
0.0594.55280675457580.268788400319879
0.0694.6661433354420.2824106658688
0.0794.77360868190010.308315021290826
0.0894.87986005632770.340504981016557
0.0994.98773296986790.37310924850751
0.195.09838787719830.402508291897642
0.1195.21185973754020.427291963964569
0.1295.32766760897750.448323987738141
0.1395.44530377349720.467722929286151
0.1495.56452322453620.487826760502771
0.1595.68543011511030.510362513766536
0.1695.80840809301650.536341319930604
0.1795.93396351058220.565118190485667
0.1896.06254852501620.595662407022311
0.1996.19441422650930.626296210615461
0.296.32952169291820.654998476817848
0.2196.46751831479580.679871872206735
0.2296.60777155965930.699911632775497
0.2396.7494434972290.714068103054567
0.2496.89158621042690.722315264002373
0.2597.03323933694080.724824169388592
0.2697.17351497811120.722475639462463
0.2797.31166070879780.71609591401183
0.2897.44709717968540.706980784725985
0.2997.57943176410790.69583028809138
0.397.70845311407780.68379865491472
0.3197.83411303261250.671569040819448
0.3297.95650188650150.659834566754933
0.3398.07582239884740.649000703514552
0.3498.1923647814760.63963850778355
0.3598.30648445358070.631848496739893
0.3698.41858247121640.626278124856075
0.3798.52908837302040.622846769555393
0.3898.63844526117320.621695806183234
0.3998.74709725785430.622653892323355
0.498.85547968277930.625918231258644
0.4198.9640121952110.631270089402811
0.4299.07309473478110.638354469531336
0.4399.18310555000260.647303376416743
0.4499.29440017354030.657880935124877
0.4599.40731010742870.670216676179718
0.4699.52214030661070.683877125532792
0.4799.63916520782430.699052043032321
0.4899.75862380641450.715202266064489
0.4999.8807148361850.732236030358482
0.5100.0055932085730.749609364258164
0.51100.1333684236070.76720300201344
0.52100.2641047905090.784498982008504
0.53100.3978222930140.801377184629966
0.54100.5344962040490.817589850032145
0.55100.6740534590340.832996716156204
0.56100.8163645237220.847423194598572
0.57100.9612309613190.860230877558367
0.58101.1083707580320.871175679413728
0.59101.2574051591460.879370936425685
0.6101.4078517223160.884270870045767
0.61101.5591280945510.88501236329177
0.62101.71056956510.880948523435928
0.63101.8614610225360.871763893076842
0.64102.0110811617010.857695458195554
0.65102.1587544083920.838899143597849
0.66102.3039047272880.816382587036722
0.67102.4461055909570.791200084287481
0.68102.5851217733980.764672940007324
0.69102.7209406739420.738194331992122
0.7102.8537926659030.713217699623995
0.71102.9841606151630.690927157601164
0.72103.1127777430630.672699527531441
0.73103.2406106311110.659784846069869
0.74103.368821396570.653032156821751
0.75103.498701526780.65337359318188
0.76103.6315712699260.660740179065174
0.77103.7686439597580.674747955138614
0.78103.9108640130970.693332807810141
0.79104.0587386845110.713826113953849
0.8104.2121935732030.732387524456353
0.81104.3704863250020.745251320932959
0.82104.5322088141780.74868505992601
0.83104.695394646190.740066539294616
0.84104.8577287957660.718308867843263
0.85105.0168352122550.683874119999041
0.86105.170602747460.639007225483228
0.87105.3175039139590.587125648620502
0.88105.4568637364980.532625792037997
0.89105.589040586820.480092962489836
0.9105.7154781968640.433920408087124
0.91105.8385734432180.397888085364377
0.92105.9612866907280.374324831304639
0.93106.0864276843110.362352997247101
0.94106.2156197896790.356717497094504
0.95106.3481044895360.347600076818382
0.96106.4797617519580.323080634487612
0.97106.6028648842440.274051535104467
0.98106.7070259902140.201396697974336
0.99106.7816156932450.124311246683043

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.001012474031 & 0.331846216386928 \tabularnewline
0.02 & 94.1391209983548 & 0.305190125840367 \tabularnewline
0.03 & 94.2884505254173 & 0.283358339428904 \tabularnewline
0.04 & 94.4280347715441 & 0.269880328202304 \tabularnewline
0.05 & 94.5528067545758 & 0.268788400319879 \tabularnewline
0.06 & 94.666143335442 & 0.2824106658688 \tabularnewline
0.07 & 94.7736086819001 & 0.308315021290826 \tabularnewline
0.08 & 94.8798600563277 & 0.340504981016557 \tabularnewline
0.09 & 94.9877329698679 & 0.37310924850751 \tabularnewline
0.1 & 95.0983878771983 & 0.402508291897642 \tabularnewline
0.11 & 95.2118597375402 & 0.427291963964569 \tabularnewline
0.12 & 95.3276676089775 & 0.448323987738141 \tabularnewline
0.13 & 95.4453037734972 & 0.467722929286151 \tabularnewline
0.14 & 95.5645232245362 & 0.487826760502771 \tabularnewline
0.15 & 95.6854301151103 & 0.510362513766536 \tabularnewline
0.16 & 95.8084080930165 & 0.536341319930604 \tabularnewline
0.17 & 95.9339635105822 & 0.565118190485667 \tabularnewline
0.18 & 96.0625485250162 & 0.595662407022311 \tabularnewline
0.19 & 96.1944142265093 & 0.626296210615461 \tabularnewline
0.2 & 96.3295216929182 & 0.654998476817848 \tabularnewline
0.21 & 96.4675183147958 & 0.679871872206735 \tabularnewline
0.22 & 96.6077715596593 & 0.699911632775497 \tabularnewline
0.23 & 96.749443497229 & 0.714068103054567 \tabularnewline
0.24 & 96.8915862104269 & 0.722315264002373 \tabularnewline
0.25 & 97.0332393369408 & 0.724824169388592 \tabularnewline
0.26 & 97.1735149781112 & 0.722475639462463 \tabularnewline
0.27 & 97.3116607087978 & 0.71609591401183 \tabularnewline
0.28 & 97.4470971796854 & 0.706980784725985 \tabularnewline
0.29 & 97.5794317641079 & 0.69583028809138 \tabularnewline
0.3 & 97.7084531140778 & 0.68379865491472 \tabularnewline
0.31 & 97.8341130326125 & 0.671569040819448 \tabularnewline
0.32 & 97.9565018865015 & 0.659834566754933 \tabularnewline
0.33 & 98.0758223988474 & 0.649000703514552 \tabularnewline
0.34 & 98.192364781476 & 0.63963850778355 \tabularnewline
0.35 & 98.3064844535807 & 0.631848496739893 \tabularnewline
0.36 & 98.4185824712164 & 0.626278124856075 \tabularnewline
0.37 & 98.5290883730204 & 0.622846769555393 \tabularnewline
0.38 & 98.6384452611732 & 0.621695806183234 \tabularnewline
0.39 & 98.7470972578543 & 0.622653892323355 \tabularnewline
0.4 & 98.8554796827793 & 0.625918231258644 \tabularnewline
0.41 & 98.964012195211 & 0.631270089402811 \tabularnewline
0.42 & 99.0730947347811 & 0.638354469531336 \tabularnewline
0.43 & 99.1831055500026 & 0.647303376416743 \tabularnewline
0.44 & 99.2944001735403 & 0.657880935124877 \tabularnewline
0.45 & 99.4073101074287 & 0.670216676179718 \tabularnewline
0.46 & 99.5221403066107 & 0.683877125532792 \tabularnewline
0.47 & 99.6391652078243 & 0.699052043032321 \tabularnewline
0.48 & 99.7586238064145 & 0.715202266064489 \tabularnewline
0.49 & 99.880714836185 & 0.732236030358482 \tabularnewline
0.5 & 100.005593208573 & 0.749609364258164 \tabularnewline
0.51 & 100.133368423607 & 0.76720300201344 \tabularnewline
0.52 & 100.264104790509 & 0.784498982008504 \tabularnewline
0.53 & 100.397822293014 & 0.801377184629966 \tabularnewline
0.54 & 100.534496204049 & 0.817589850032145 \tabularnewline
0.55 & 100.674053459034 & 0.832996716156204 \tabularnewline
0.56 & 100.816364523722 & 0.847423194598572 \tabularnewline
0.57 & 100.961230961319 & 0.860230877558367 \tabularnewline
0.58 & 101.108370758032 & 0.871175679413728 \tabularnewline
0.59 & 101.257405159146 & 0.879370936425685 \tabularnewline
0.6 & 101.407851722316 & 0.884270870045767 \tabularnewline
0.61 & 101.559128094551 & 0.88501236329177 \tabularnewline
0.62 & 101.7105695651 & 0.880948523435928 \tabularnewline
0.63 & 101.861461022536 & 0.871763893076842 \tabularnewline
0.64 & 102.011081161701 & 0.857695458195554 \tabularnewline
0.65 & 102.158754408392 & 0.838899143597849 \tabularnewline
0.66 & 102.303904727288 & 0.816382587036722 \tabularnewline
0.67 & 102.446105590957 & 0.791200084287481 \tabularnewline
0.68 & 102.585121773398 & 0.764672940007324 \tabularnewline
0.69 & 102.720940673942 & 0.738194331992122 \tabularnewline
0.7 & 102.853792665903 & 0.713217699623995 \tabularnewline
0.71 & 102.984160615163 & 0.690927157601164 \tabularnewline
0.72 & 103.112777743063 & 0.672699527531441 \tabularnewline
0.73 & 103.240610631111 & 0.659784846069869 \tabularnewline
0.74 & 103.36882139657 & 0.653032156821751 \tabularnewline
0.75 & 103.49870152678 & 0.65337359318188 \tabularnewline
0.76 & 103.631571269926 & 0.660740179065174 \tabularnewline
0.77 & 103.768643959758 & 0.674747955138614 \tabularnewline
0.78 & 103.910864013097 & 0.693332807810141 \tabularnewline
0.79 & 104.058738684511 & 0.713826113953849 \tabularnewline
0.8 & 104.212193573203 & 0.732387524456353 \tabularnewline
0.81 & 104.370486325002 & 0.745251320932959 \tabularnewline
0.82 & 104.532208814178 & 0.74868505992601 \tabularnewline
0.83 & 104.69539464619 & 0.740066539294616 \tabularnewline
0.84 & 104.857728795766 & 0.718308867843263 \tabularnewline
0.85 & 105.016835212255 & 0.683874119999041 \tabularnewline
0.86 & 105.17060274746 & 0.639007225483228 \tabularnewline
0.87 & 105.317503913959 & 0.587125648620502 \tabularnewline
0.88 & 105.456863736498 & 0.532625792037997 \tabularnewline
0.89 & 105.58904058682 & 0.480092962489836 \tabularnewline
0.9 & 105.715478196864 & 0.433920408087124 \tabularnewline
0.91 & 105.838573443218 & 0.397888085364377 \tabularnewline
0.92 & 105.961286690728 & 0.374324831304639 \tabularnewline
0.93 & 106.086427684311 & 0.362352997247101 \tabularnewline
0.94 & 106.215619789679 & 0.356717497094504 \tabularnewline
0.95 & 106.348104489536 & 0.347600076818382 \tabularnewline
0.96 & 106.479761751958 & 0.323080634487612 \tabularnewline
0.97 & 106.602864884244 & 0.274051535104467 \tabularnewline
0.98 & 106.707025990214 & 0.201396697974336 \tabularnewline
0.99 & 106.781615693245 & 0.124311246683043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292912&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]94.001012474031[/C][C]0.331846216386928[/C][/ROW]
[ROW][C]0.02[/C][C]94.1391209983548[/C][C]0.305190125840367[/C][/ROW]
[ROW][C]0.03[/C][C]94.2884505254173[/C][C]0.283358339428904[/C][/ROW]
[ROW][C]0.04[/C][C]94.4280347715441[/C][C]0.269880328202304[/C][/ROW]
[ROW][C]0.05[/C][C]94.5528067545758[/C][C]0.268788400319879[/C][/ROW]
[ROW][C]0.06[/C][C]94.666143335442[/C][C]0.2824106658688[/C][/ROW]
[ROW][C]0.07[/C][C]94.7736086819001[/C][C]0.308315021290826[/C][/ROW]
[ROW][C]0.08[/C][C]94.8798600563277[/C][C]0.340504981016557[/C][/ROW]
[ROW][C]0.09[/C][C]94.9877329698679[/C][C]0.37310924850751[/C][/ROW]
[ROW][C]0.1[/C][C]95.0983878771983[/C][C]0.402508291897642[/C][/ROW]
[ROW][C]0.11[/C][C]95.2118597375402[/C][C]0.427291963964569[/C][/ROW]
[ROW][C]0.12[/C][C]95.3276676089775[/C][C]0.448323987738141[/C][/ROW]
[ROW][C]0.13[/C][C]95.4453037734972[/C][C]0.467722929286151[/C][/ROW]
[ROW][C]0.14[/C][C]95.5645232245362[/C][C]0.487826760502771[/C][/ROW]
[ROW][C]0.15[/C][C]95.6854301151103[/C][C]0.510362513766536[/C][/ROW]
[ROW][C]0.16[/C][C]95.8084080930165[/C][C]0.536341319930604[/C][/ROW]
[ROW][C]0.17[/C][C]95.9339635105822[/C][C]0.565118190485667[/C][/ROW]
[ROW][C]0.18[/C][C]96.0625485250162[/C][C]0.595662407022311[/C][/ROW]
[ROW][C]0.19[/C][C]96.1944142265093[/C][C]0.626296210615461[/C][/ROW]
[ROW][C]0.2[/C][C]96.3295216929182[/C][C]0.654998476817848[/C][/ROW]
[ROW][C]0.21[/C][C]96.4675183147958[/C][C]0.679871872206735[/C][/ROW]
[ROW][C]0.22[/C][C]96.6077715596593[/C][C]0.699911632775497[/C][/ROW]
[ROW][C]0.23[/C][C]96.749443497229[/C][C]0.714068103054567[/C][/ROW]
[ROW][C]0.24[/C][C]96.8915862104269[/C][C]0.722315264002373[/C][/ROW]
[ROW][C]0.25[/C][C]97.0332393369408[/C][C]0.724824169388592[/C][/ROW]
[ROW][C]0.26[/C][C]97.1735149781112[/C][C]0.722475639462463[/C][/ROW]
[ROW][C]0.27[/C][C]97.3116607087978[/C][C]0.71609591401183[/C][/ROW]
[ROW][C]0.28[/C][C]97.4470971796854[/C][C]0.706980784725985[/C][/ROW]
[ROW][C]0.29[/C][C]97.5794317641079[/C][C]0.69583028809138[/C][/ROW]
[ROW][C]0.3[/C][C]97.7084531140778[/C][C]0.68379865491472[/C][/ROW]
[ROW][C]0.31[/C][C]97.8341130326125[/C][C]0.671569040819448[/C][/ROW]
[ROW][C]0.32[/C][C]97.9565018865015[/C][C]0.659834566754933[/C][/ROW]
[ROW][C]0.33[/C][C]98.0758223988474[/C][C]0.649000703514552[/C][/ROW]
[ROW][C]0.34[/C][C]98.192364781476[/C][C]0.63963850778355[/C][/ROW]
[ROW][C]0.35[/C][C]98.3064844535807[/C][C]0.631848496739893[/C][/ROW]
[ROW][C]0.36[/C][C]98.4185824712164[/C][C]0.626278124856075[/C][/ROW]
[ROW][C]0.37[/C][C]98.5290883730204[/C][C]0.622846769555393[/C][/ROW]
[ROW][C]0.38[/C][C]98.6384452611732[/C][C]0.621695806183234[/C][/ROW]
[ROW][C]0.39[/C][C]98.7470972578543[/C][C]0.622653892323355[/C][/ROW]
[ROW][C]0.4[/C][C]98.8554796827793[/C][C]0.625918231258644[/C][/ROW]
[ROW][C]0.41[/C][C]98.964012195211[/C][C]0.631270089402811[/C][/ROW]
[ROW][C]0.42[/C][C]99.0730947347811[/C][C]0.638354469531336[/C][/ROW]
[ROW][C]0.43[/C][C]99.1831055500026[/C][C]0.647303376416743[/C][/ROW]
[ROW][C]0.44[/C][C]99.2944001735403[/C][C]0.657880935124877[/C][/ROW]
[ROW][C]0.45[/C][C]99.4073101074287[/C][C]0.670216676179718[/C][/ROW]
[ROW][C]0.46[/C][C]99.5221403066107[/C][C]0.683877125532792[/C][/ROW]
[ROW][C]0.47[/C][C]99.6391652078243[/C][C]0.699052043032321[/C][/ROW]
[ROW][C]0.48[/C][C]99.7586238064145[/C][C]0.715202266064489[/C][/ROW]
[ROW][C]0.49[/C][C]99.880714836185[/C][C]0.732236030358482[/C][/ROW]
[ROW][C]0.5[/C][C]100.005593208573[/C][C]0.749609364258164[/C][/ROW]
[ROW][C]0.51[/C][C]100.133368423607[/C][C]0.76720300201344[/C][/ROW]
[ROW][C]0.52[/C][C]100.264104790509[/C][C]0.784498982008504[/C][/ROW]
[ROW][C]0.53[/C][C]100.397822293014[/C][C]0.801377184629966[/C][/ROW]
[ROW][C]0.54[/C][C]100.534496204049[/C][C]0.817589850032145[/C][/ROW]
[ROW][C]0.55[/C][C]100.674053459034[/C][C]0.832996716156204[/C][/ROW]
[ROW][C]0.56[/C][C]100.816364523722[/C][C]0.847423194598572[/C][/ROW]
[ROW][C]0.57[/C][C]100.961230961319[/C][C]0.860230877558367[/C][/ROW]
[ROW][C]0.58[/C][C]101.108370758032[/C][C]0.871175679413728[/C][/ROW]
[ROW][C]0.59[/C][C]101.257405159146[/C][C]0.879370936425685[/C][/ROW]
[ROW][C]0.6[/C][C]101.407851722316[/C][C]0.884270870045767[/C][/ROW]
[ROW][C]0.61[/C][C]101.559128094551[/C][C]0.88501236329177[/C][/ROW]
[ROW][C]0.62[/C][C]101.7105695651[/C][C]0.880948523435928[/C][/ROW]
[ROW][C]0.63[/C][C]101.861461022536[/C][C]0.871763893076842[/C][/ROW]
[ROW][C]0.64[/C][C]102.011081161701[/C][C]0.857695458195554[/C][/ROW]
[ROW][C]0.65[/C][C]102.158754408392[/C][C]0.838899143597849[/C][/ROW]
[ROW][C]0.66[/C][C]102.303904727288[/C][C]0.816382587036722[/C][/ROW]
[ROW][C]0.67[/C][C]102.446105590957[/C][C]0.791200084287481[/C][/ROW]
[ROW][C]0.68[/C][C]102.585121773398[/C][C]0.764672940007324[/C][/ROW]
[ROW][C]0.69[/C][C]102.720940673942[/C][C]0.738194331992122[/C][/ROW]
[ROW][C]0.7[/C][C]102.853792665903[/C][C]0.713217699623995[/C][/ROW]
[ROW][C]0.71[/C][C]102.984160615163[/C][C]0.690927157601164[/C][/ROW]
[ROW][C]0.72[/C][C]103.112777743063[/C][C]0.672699527531441[/C][/ROW]
[ROW][C]0.73[/C][C]103.240610631111[/C][C]0.659784846069869[/C][/ROW]
[ROW][C]0.74[/C][C]103.36882139657[/C][C]0.653032156821751[/C][/ROW]
[ROW][C]0.75[/C][C]103.49870152678[/C][C]0.65337359318188[/C][/ROW]
[ROW][C]0.76[/C][C]103.631571269926[/C][C]0.660740179065174[/C][/ROW]
[ROW][C]0.77[/C][C]103.768643959758[/C][C]0.674747955138614[/C][/ROW]
[ROW][C]0.78[/C][C]103.910864013097[/C][C]0.693332807810141[/C][/ROW]
[ROW][C]0.79[/C][C]104.058738684511[/C][C]0.713826113953849[/C][/ROW]
[ROW][C]0.8[/C][C]104.212193573203[/C][C]0.732387524456353[/C][/ROW]
[ROW][C]0.81[/C][C]104.370486325002[/C][C]0.745251320932959[/C][/ROW]
[ROW][C]0.82[/C][C]104.532208814178[/C][C]0.74868505992601[/C][/ROW]
[ROW][C]0.83[/C][C]104.69539464619[/C][C]0.740066539294616[/C][/ROW]
[ROW][C]0.84[/C][C]104.857728795766[/C][C]0.718308867843263[/C][/ROW]
[ROW][C]0.85[/C][C]105.016835212255[/C][C]0.683874119999041[/C][/ROW]
[ROW][C]0.86[/C][C]105.17060274746[/C][C]0.639007225483228[/C][/ROW]
[ROW][C]0.87[/C][C]105.317503913959[/C][C]0.587125648620502[/C][/ROW]
[ROW][C]0.88[/C][C]105.456863736498[/C][C]0.532625792037997[/C][/ROW]
[ROW][C]0.89[/C][C]105.58904058682[/C][C]0.480092962489836[/C][/ROW]
[ROW][C]0.9[/C][C]105.715478196864[/C][C]0.433920408087124[/C][/ROW]
[ROW][C]0.91[/C][C]105.838573443218[/C][C]0.397888085364377[/C][/ROW]
[ROW][C]0.92[/C][C]105.961286690728[/C][C]0.374324831304639[/C][/ROW]
[ROW][C]0.93[/C][C]106.086427684311[/C][C]0.362352997247101[/C][/ROW]
[ROW][C]0.94[/C][C]106.215619789679[/C][C]0.356717497094504[/C][/ROW]
[ROW][C]0.95[/C][C]106.348104489536[/C][C]0.347600076818382[/C][/ROW]
[ROW][C]0.96[/C][C]106.479761751958[/C][C]0.323080634487612[/C][/ROW]
[ROW][C]0.97[/C][C]106.602864884244[/C][C]0.274051535104467[/C][/ROW]
[ROW][C]0.98[/C][C]106.707025990214[/C][C]0.201396697974336[/C][/ROW]
[ROW][C]0.99[/C][C]106.781615693245[/C][C]0.124311246683043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292912&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292912&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
0.0194.0010124740310.331846216386928
0.0294.13912099835480.305190125840367
0.0394.28845052541730.283358339428904
0.0494.42803477154410.269880328202304
0.0594.55280675457580.268788400319879
0.0694.6661433354420.2824106658688
0.0794.77360868190010.308315021290826
0.0894.87986005632770.340504981016557
0.0994.98773296986790.37310924850751
0.195.09838787719830.402508291897642
0.1195.21185973754020.427291963964569
0.1295.32766760897750.448323987738141
0.1395.44530377349720.467722929286151
0.1495.56452322453620.487826760502771
0.1595.68543011511030.510362513766536
0.1695.80840809301650.536341319930604
0.1795.93396351058220.565118190485667
0.1896.06254852501620.595662407022311
0.1996.19441422650930.626296210615461
0.296.32952169291820.654998476817848
0.2196.46751831479580.679871872206735
0.2296.60777155965930.699911632775497
0.2396.7494434972290.714068103054567
0.2496.89158621042690.722315264002373
0.2597.03323933694080.724824169388592
0.2697.17351497811120.722475639462463
0.2797.31166070879780.71609591401183
0.2897.44709717968540.706980784725985
0.2997.57943176410790.69583028809138
0.397.70845311407780.68379865491472
0.3197.83411303261250.671569040819448
0.3297.95650188650150.659834566754933
0.3398.07582239884740.649000703514552
0.3498.1923647814760.63963850778355
0.3598.30648445358070.631848496739893
0.3698.41858247121640.626278124856075
0.3798.52908837302040.622846769555393
0.3898.63844526117320.621695806183234
0.3998.74709725785430.622653892323355
0.498.85547968277930.625918231258644
0.4198.9640121952110.631270089402811
0.4299.07309473478110.638354469531336
0.4399.18310555000260.647303376416743
0.4499.29440017354030.657880935124877
0.4599.40731010742870.670216676179718
0.4699.52214030661070.683877125532792
0.4799.63916520782430.699052043032321
0.4899.75862380641450.715202266064489
0.4999.8807148361850.732236030358482
0.5100.0055932085730.749609364258164
0.51100.1333684236070.76720300201344
0.52100.2641047905090.784498982008504
0.53100.3978222930140.801377184629966
0.54100.5344962040490.817589850032145
0.55100.6740534590340.832996716156204
0.56100.8163645237220.847423194598572
0.57100.9612309613190.860230877558367
0.58101.1083707580320.871175679413728
0.59101.2574051591460.879370936425685
0.6101.4078517223160.884270870045767
0.61101.5591280945510.88501236329177
0.62101.71056956510.880948523435928
0.63101.8614610225360.871763893076842
0.64102.0110811617010.857695458195554
0.65102.1587544083920.838899143597849
0.66102.3039047272880.816382587036722
0.67102.4461055909570.791200084287481
0.68102.5851217733980.764672940007324
0.69102.7209406739420.738194331992122
0.7102.8537926659030.713217699623995
0.71102.9841606151630.690927157601164
0.72103.1127777430630.672699527531441
0.73103.2406106311110.659784846069869
0.74103.368821396570.653032156821751
0.75103.498701526780.65337359318188
0.76103.6315712699260.660740179065174
0.77103.7686439597580.674747955138614
0.78103.9108640130970.693332807810141
0.79104.0587386845110.713826113953849
0.8104.2121935732030.732387524456353
0.81104.3704863250020.745251320932959
0.82104.5322088141780.74868505992601
0.83104.695394646190.740066539294616
0.84104.8577287957660.718308867843263
0.85105.0168352122550.683874119999041
0.86105.170602747460.639007225483228
0.87105.3175039139590.587125648620502
0.88105.4568637364980.532625792037997
0.89105.589040586820.480092962489836
0.9105.7154781968640.433920408087124
0.91105.8385734432180.397888085364377
0.92105.9612866907280.374324831304639
0.93106.0864276843110.362352997247101
0.94106.2156197896790.356717497094504
0.95106.3481044895360.347600076818382
0.96106.4797617519580.323080634487612
0.97106.6028648842440.274051535104467
0.98106.7070259902140.201396697974336
0.99106.7816156932450.124311246683043


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')