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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 computationSun, 10 Oct 2010 17:51:08 +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/2010/Oct/10/t128673306055ktr1q9v7gbqug.htm/, Retrieved Thu, 02 May 2024 15:40:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82357, Retrieved Thu, 02 May 2024 15:40:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact136

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] [] [2010-10-10 17:51:08] [30681199eb2b91d06bf445c1ee7d20a2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.6
100.1
98.8
98.3
102.8
103.6
105.2
100.1
98.2
98.4
97.4
98.4
100.3
101.1
104.1
107.3
110.1
112.6
114.3
115.3
109.9
108.2
103.2
101.8
105.6
108.2
109.8
114.6
117.2
116.5
116.1
112.1
106.8
106.9
104.5
103
105.9
107.7
107.1
112.5
114.5
114.6
113.1
112.8
111.9
112
112.4
110
112.3
109.6
111.9
110.8
110.4
110.8
114
108.4
110.5
105.1
102.3
104.3
103.4
102.4
104.5
107.3
110.1
111.8
111.8
105.7
106
106.4
107.1
111.5
109.6
109.9
109.3
111.4
112.9
115.5
118.4
116.2
113.3
113.8
114.1
117.1
115.5
115.2
114.2
115.3
118.8
118
118.1
111.8
112
114.3
115
118.5
117.6
119.1
120.6
123.6
122.7
123.8
123.1
124.5
120.7
118.7
119
122.3
118.6
118.1
118.2
120.8
119.7
119.7
117.1
114.5
116.5
116.4
114.9
115.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82357&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82357&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82357&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.7943087148240.481633444977123
0.0298.18450741311480.267412746165919
0.0398.45028249709460.356544345125557
0.0498.72937639407150.600993474785955
0.0599.10124801956540.863085276593551
0.0699.56605145228491.06488361000944
0.07100.0885307584411.18616492445573
0.08100.6295573230751.23854117669267
0.09101.1591316700071.23511218514157
0.1101.6577045279051.18774131425380
0.11102.1147851646841.1149043545249
0.12102.5281833344421.04088445664324
0.13102.9026861619910.984764649373136
0.14103.2472189239240.954182934749601
0.15103.5714261345540.945454753622644
0.16103.8831492462360.950398700039179
0.17104.1874471179110.961016207677426
0.18104.4868465979480.971672847343654
0.19104.7821386023900.979874352255212
0.2105.0731828087890.984343518813413
0.21105.3594984871960.98508254126729
0.22105.6406492367760.98296471281305
0.23105.9165092180780.97977337625961
0.24106.1874702140830.977963359733149
0.25106.4545797403700.980551337069783
0.26106.7195445039800.990356106248983
0.27106.9845251076391.00941152873566
0.28107.2516990551551.03705259829607
0.29107.5226634997481.06928664567364
0.3107.7978436800581.09976184254821
0.31108.0761160530541.12082925482501
0.32108.3548146537271.12578817619923
0.33108.6301721520431.11119759086661
0.34108.8980978208901.07743785295421
0.35109.1550734932521.02933271313912
0.36109.3989036028920.9743559369884
0.37109.6291022219160.920982715032776
0.38109.8468181607340.876374474389611
0.39110.0543437237600.844580237210325
0.4110.2543736991230.825687098019143
0.41110.4492420051250.815231451415613
0.42110.6403512898620.808045338453531
0.43110.8279371756060.79733874980744
0.44111.0112022603430.779393089303635
0.45111.1887498687010.75266791723058
0.46111.3591734286510.718842884299273
0.47111.5216311395630.681631304712542
0.48111.6762582903700.646884892641704
0.49111.8243278768270.620296539680159
0.5111.9681422163360.606357130114761
0.51112.1107017886690.607789611843385
0.52112.2552373584360.624158338682733
0.53112.4047035218540.652951973918367
0.54112.5613222422940.68926433935562
0.55112.7262445697030.727721305882189
0.56112.8993766313110.762383053377458
0.57113.0793951175440.787952474891130
0.58113.2639551757970.80070702476703
0.59113.4500660294610.798456226260686
0.6113.6345773501030.781592518645759
0.61113.8146901734690.753046367722552
0.62113.9883924854880.71678444444952
0.63114.1547321594040.678710152401628
0.64114.3138802230630.643645312080187
0.65114.4669944699810.615742404675105
0.66114.6159467626030.597146673622507
0.67114.7630059634360.588570074544006
0.68114.9105610480340.589603000310155
0.69115.0609307189200.599205973488084
0.7115.2162566053230.616309805285072
0.71115.3784415279700.639840771590197
0.72115.5490880856980.668146277961009
0.73115.7294135043420.699432761694202
0.74115.9201453595590.73147102756768
0.75116.1214175603960.76159612292871
0.76116.3326790787780.787267304593679
0.77116.5526133747360.805763606327498
0.78116.7790699490830.814600525681966
0.79117.0090445462900.810800984051192
0.8117.2387935553230.792391154308642
0.81117.4641870975810.758435939542297
0.82117.6813563944200.710696751579448
0.83117.8875806659780.654364961016353
0.84118.0822443837440.597490392245164
0.85118.2676435878510.550205140073119
0.86118.4494447246160.523187587852083
0.87118.6366503728680.525470753149
0.88118.8409637178470.561828345030369
0.89119.0755469859660.630607128122798
0.9119.3534971552480.723534757941389
0.91119.6867999629030.829206034768635
0.92120.0862512205780.939451652739821
0.93120.5608803951511.04952463429130
0.94121.1130844117431.14263588687619
0.95121.7280842556061.17152215468209
0.96122.3663299222261.08076704139963
0.97122.9765084353290.869052758801187
0.98123.5398436652380.62442647649784
0.99124.0894149028580.546719509721342

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.794308714824 & 0.481633444977123 \tabularnewline
0.02 & 98.1845074131148 & 0.267412746165919 \tabularnewline
0.03 & 98.4502824970946 & 0.356544345125557 \tabularnewline
0.04 & 98.7293763940715 & 0.600993474785955 \tabularnewline
0.05 & 99.1012480195654 & 0.863085276593551 \tabularnewline
0.06 & 99.5660514522849 & 1.06488361000944 \tabularnewline
0.07 & 100.088530758441 & 1.18616492445573 \tabularnewline
0.08 & 100.629557323075 & 1.23854117669267 \tabularnewline
0.09 & 101.159131670007 & 1.23511218514157 \tabularnewline
0.1 & 101.657704527905 & 1.18774131425380 \tabularnewline
0.11 & 102.114785164684 & 1.1149043545249 \tabularnewline
0.12 & 102.528183334442 & 1.04088445664324 \tabularnewline
0.13 & 102.902686161991 & 0.984764649373136 \tabularnewline
0.14 & 103.247218923924 & 0.954182934749601 \tabularnewline
0.15 & 103.571426134554 & 0.945454753622644 \tabularnewline
0.16 & 103.883149246236 & 0.950398700039179 \tabularnewline
0.17 & 104.187447117911 & 0.961016207677426 \tabularnewline
0.18 & 104.486846597948 & 0.971672847343654 \tabularnewline
0.19 & 104.782138602390 & 0.979874352255212 \tabularnewline
0.2 & 105.073182808789 & 0.984343518813413 \tabularnewline
0.21 & 105.359498487196 & 0.98508254126729 \tabularnewline
0.22 & 105.640649236776 & 0.98296471281305 \tabularnewline
0.23 & 105.916509218078 & 0.97977337625961 \tabularnewline
0.24 & 106.187470214083 & 0.977963359733149 \tabularnewline
0.25 & 106.454579740370 & 0.980551337069783 \tabularnewline
0.26 & 106.719544503980 & 0.990356106248983 \tabularnewline
0.27 & 106.984525107639 & 1.00941152873566 \tabularnewline
0.28 & 107.251699055155 & 1.03705259829607 \tabularnewline
0.29 & 107.522663499748 & 1.06928664567364 \tabularnewline
0.3 & 107.797843680058 & 1.09976184254821 \tabularnewline
0.31 & 108.076116053054 & 1.12082925482501 \tabularnewline
0.32 & 108.354814653727 & 1.12578817619923 \tabularnewline
0.33 & 108.630172152043 & 1.11119759086661 \tabularnewline
0.34 & 108.898097820890 & 1.07743785295421 \tabularnewline
0.35 & 109.155073493252 & 1.02933271313912 \tabularnewline
0.36 & 109.398903602892 & 0.9743559369884 \tabularnewline
0.37 & 109.629102221916 & 0.920982715032776 \tabularnewline
0.38 & 109.846818160734 & 0.876374474389611 \tabularnewline
0.39 & 110.054343723760 & 0.844580237210325 \tabularnewline
0.4 & 110.254373699123 & 0.825687098019143 \tabularnewline
0.41 & 110.449242005125 & 0.815231451415613 \tabularnewline
0.42 & 110.640351289862 & 0.808045338453531 \tabularnewline
0.43 & 110.827937175606 & 0.79733874980744 \tabularnewline
0.44 & 111.011202260343 & 0.779393089303635 \tabularnewline
0.45 & 111.188749868701 & 0.75266791723058 \tabularnewline
0.46 & 111.359173428651 & 0.718842884299273 \tabularnewline
0.47 & 111.521631139563 & 0.681631304712542 \tabularnewline
0.48 & 111.676258290370 & 0.646884892641704 \tabularnewline
0.49 & 111.824327876827 & 0.620296539680159 \tabularnewline
0.5 & 111.968142216336 & 0.606357130114761 \tabularnewline
0.51 & 112.110701788669 & 0.607789611843385 \tabularnewline
0.52 & 112.255237358436 & 0.624158338682733 \tabularnewline
0.53 & 112.404703521854 & 0.652951973918367 \tabularnewline
0.54 & 112.561322242294 & 0.68926433935562 \tabularnewline
0.55 & 112.726244569703 & 0.727721305882189 \tabularnewline
0.56 & 112.899376631311 & 0.762383053377458 \tabularnewline
0.57 & 113.079395117544 & 0.787952474891130 \tabularnewline
0.58 & 113.263955175797 & 0.80070702476703 \tabularnewline
0.59 & 113.450066029461 & 0.798456226260686 \tabularnewline
0.6 & 113.634577350103 & 0.781592518645759 \tabularnewline
0.61 & 113.814690173469 & 0.753046367722552 \tabularnewline
0.62 & 113.988392485488 & 0.71678444444952 \tabularnewline
0.63 & 114.154732159404 & 0.678710152401628 \tabularnewline
0.64 & 114.313880223063 & 0.643645312080187 \tabularnewline
0.65 & 114.466994469981 & 0.615742404675105 \tabularnewline
0.66 & 114.615946762603 & 0.597146673622507 \tabularnewline
0.67 & 114.763005963436 & 0.588570074544006 \tabularnewline
0.68 & 114.910561048034 & 0.589603000310155 \tabularnewline
0.69 & 115.060930718920 & 0.599205973488084 \tabularnewline
0.7 & 115.216256605323 & 0.616309805285072 \tabularnewline
0.71 & 115.378441527970 & 0.639840771590197 \tabularnewline
0.72 & 115.549088085698 & 0.668146277961009 \tabularnewline
0.73 & 115.729413504342 & 0.699432761694202 \tabularnewline
0.74 & 115.920145359559 & 0.73147102756768 \tabularnewline
0.75 & 116.121417560396 & 0.76159612292871 \tabularnewline
0.76 & 116.332679078778 & 0.787267304593679 \tabularnewline
0.77 & 116.552613374736 & 0.805763606327498 \tabularnewline
0.78 & 116.779069949083 & 0.814600525681966 \tabularnewline
0.79 & 117.009044546290 & 0.810800984051192 \tabularnewline
0.8 & 117.238793555323 & 0.792391154308642 \tabularnewline
0.81 & 117.464187097581 & 0.758435939542297 \tabularnewline
0.82 & 117.681356394420 & 0.710696751579448 \tabularnewline
0.83 & 117.887580665978 & 0.654364961016353 \tabularnewline
0.84 & 118.082244383744 & 0.597490392245164 \tabularnewline
0.85 & 118.267643587851 & 0.550205140073119 \tabularnewline
0.86 & 118.449444724616 & 0.523187587852083 \tabularnewline
0.87 & 118.636650372868 & 0.525470753149 \tabularnewline
0.88 & 118.840963717847 & 0.561828345030369 \tabularnewline
0.89 & 119.075546985966 & 0.630607128122798 \tabularnewline
0.9 & 119.353497155248 & 0.723534757941389 \tabularnewline
0.91 & 119.686799962903 & 0.829206034768635 \tabularnewline
0.92 & 120.086251220578 & 0.939451652739821 \tabularnewline
0.93 & 120.560880395151 & 1.04952463429130 \tabularnewline
0.94 & 121.113084411743 & 1.14263588687619 \tabularnewline
0.95 & 121.728084255606 & 1.17152215468209 \tabularnewline
0.96 & 122.366329922226 & 1.08076704139963 \tabularnewline
0.97 & 122.976508435329 & 0.869052758801187 \tabularnewline
0.98 & 123.539843665238 & 0.62442647649784 \tabularnewline
0.99 & 124.089414902858 & 0.546719509721342 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82357&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]97.794308714824[/C][C]0.481633444977123[/C][/ROW]
[ROW][C]0.02[/C][C]98.1845074131148[/C][C]0.267412746165919[/C][/ROW]
[ROW][C]0.03[/C][C]98.4502824970946[/C][C]0.356544345125557[/C][/ROW]
[ROW][C]0.04[/C][C]98.7293763940715[/C][C]0.600993474785955[/C][/ROW]
[ROW][C]0.05[/C][C]99.1012480195654[/C][C]0.863085276593551[/C][/ROW]
[ROW][C]0.06[/C][C]99.5660514522849[/C][C]1.06488361000944[/C][/ROW]
[ROW][C]0.07[/C][C]100.088530758441[/C][C]1.18616492445573[/C][/ROW]
[ROW][C]0.08[/C][C]100.629557323075[/C][C]1.23854117669267[/C][/ROW]
[ROW][C]0.09[/C][C]101.159131670007[/C][C]1.23511218514157[/C][/ROW]
[ROW][C]0.1[/C][C]101.657704527905[/C][C]1.18774131425380[/C][/ROW]
[ROW][C]0.11[/C][C]102.114785164684[/C][C]1.1149043545249[/C][/ROW]
[ROW][C]0.12[/C][C]102.528183334442[/C][C]1.04088445664324[/C][/ROW]
[ROW][C]0.13[/C][C]102.902686161991[/C][C]0.984764649373136[/C][/ROW]
[ROW][C]0.14[/C][C]103.247218923924[/C][C]0.954182934749601[/C][/ROW]
[ROW][C]0.15[/C][C]103.571426134554[/C][C]0.945454753622644[/C][/ROW]
[ROW][C]0.16[/C][C]103.883149246236[/C][C]0.950398700039179[/C][/ROW]
[ROW][C]0.17[/C][C]104.187447117911[/C][C]0.961016207677426[/C][/ROW]
[ROW][C]0.18[/C][C]104.486846597948[/C][C]0.971672847343654[/C][/ROW]
[ROW][C]0.19[/C][C]104.782138602390[/C][C]0.979874352255212[/C][/ROW]
[ROW][C]0.2[/C][C]105.073182808789[/C][C]0.984343518813413[/C][/ROW]
[ROW][C]0.21[/C][C]105.359498487196[/C][C]0.98508254126729[/C][/ROW]
[ROW][C]0.22[/C][C]105.640649236776[/C][C]0.98296471281305[/C][/ROW]
[ROW][C]0.23[/C][C]105.916509218078[/C][C]0.97977337625961[/C][/ROW]
[ROW][C]0.24[/C][C]106.187470214083[/C][C]0.977963359733149[/C][/ROW]
[ROW][C]0.25[/C][C]106.454579740370[/C][C]0.980551337069783[/C][/ROW]
[ROW][C]0.26[/C][C]106.719544503980[/C][C]0.990356106248983[/C][/ROW]
[ROW][C]0.27[/C][C]106.984525107639[/C][C]1.00941152873566[/C][/ROW]
[ROW][C]0.28[/C][C]107.251699055155[/C][C]1.03705259829607[/C][/ROW]
[ROW][C]0.29[/C][C]107.522663499748[/C][C]1.06928664567364[/C][/ROW]
[ROW][C]0.3[/C][C]107.797843680058[/C][C]1.09976184254821[/C][/ROW]
[ROW][C]0.31[/C][C]108.076116053054[/C][C]1.12082925482501[/C][/ROW]
[ROW][C]0.32[/C][C]108.354814653727[/C][C]1.12578817619923[/C][/ROW]
[ROW][C]0.33[/C][C]108.630172152043[/C][C]1.11119759086661[/C][/ROW]
[ROW][C]0.34[/C][C]108.898097820890[/C][C]1.07743785295421[/C][/ROW]
[ROW][C]0.35[/C][C]109.155073493252[/C][C]1.02933271313912[/C][/ROW]
[ROW][C]0.36[/C][C]109.398903602892[/C][C]0.9743559369884[/C][/ROW]
[ROW][C]0.37[/C][C]109.629102221916[/C][C]0.920982715032776[/C][/ROW]
[ROW][C]0.38[/C][C]109.846818160734[/C][C]0.876374474389611[/C][/ROW]
[ROW][C]0.39[/C][C]110.054343723760[/C][C]0.844580237210325[/C][/ROW]
[ROW][C]0.4[/C][C]110.254373699123[/C][C]0.825687098019143[/C][/ROW]
[ROW][C]0.41[/C][C]110.449242005125[/C][C]0.815231451415613[/C][/ROW]
[ROW][C]0.42[/C][C]110.640351289862[/C][C]0.808045338453531[/C][/ROW]
[ROW][C]0.43[/C][C]110.827937175606[/C][C]0.79733874980744[/C][/ROW]
[ROW][C]0.44[/C][C]111.011202260343[/C][C]0.779393089303635[/C][/ROW]
[ROW][C]0.45[/C][C]111.188749868701[/C][C]0.75266791723058[/C][/ROW]
[ROW][C]0.46[/C][C]111.359173428651[/C][C]0.718842884299273[/C][/ROW]
[ROW][C]0.47[/C][C]111.521631139563[/C][C]0.681631304712542[/C][/ROW]
[ROW][C]0.48[/C][C]111.676258290370[/C][C]0.646884892641704[/C][/ROW]
[ROW][C]0.49[/C][C]111.824327876827[/C][C]0.620296539680159[/C][/ROW]
[ROW][C]0.5[/C][C]111.968142216336[/C][C]0.606357130114761[/C][/ROW]
[ROW][C]0.51[/C][C]112.110701788669[/C][C]0.607789611843385[/C][/ROW]
[ROW][C]0.52[/C][C]112.255237358436[/C][C]0.624158338682733[/C][/ROW]
[ROW][C]0.53[/C][C]112.404703521854[/C][C]0.652951973918367[/C][/ROW]
[ROW][C]0.54[/C][C]112.561322242294[/C][C]0.68926433935562[/C][/ROW]
[ROW][C]0.55[/C][C]112.726244569703[/C][C]0.727721305882189[/C][/ROW]
[ROW][C]0.56[/C][C]112.899376631311[/C][C]0.762383053377458[/C][/ROW]
[ROW][C]0.57[/C][C]113.079395117544[/C][C]0.787952474891130[/C][/ROW]
[ROW][C]0.58[/C][C]113.263955175797[/C][C]0.80070702476703[/C][/ROW]
[ROW][C]0.59[/C][C]113.450066029461[/C][C]0.798456226260686[/C][/ROW]
[ROW][C]0.6[/C][C]113.634577350103[/C][C]0.781592518645759[/C][/ROW]
[ROW][C]0.61[/C][C]113.814690173469[/C][C]0.753046367722552[/C][/ROW]
[ROW][C]0.62[/C][C]113.988392485488[/C][C]0.71678444444952[/C][/ROW]
[ROW][C]0.63[/C][C]114.154732159404[/C][C]0.678710152401628[/C][/ROW]
[ROW][C]0.64[/C][C]114.313880223063[/C][C]0.643645312080187[/C][/ROW]
[ROW][C]0.65[/C][C]114.466994469981[/C][C]0.615742404675105[/C][/ROW]
[ROW][C]0.66[/C][C]114.615946762603[/C][C]0.597146673622507[/C][/ROW]
[ROW][C]0.67[/C][C]114.763005963436[/C][C]0.588570074544006[/C][/ROW]
[ROW][C]0.68[/C][C]114.910561048034[/C][C]0.589603000310155[/C][/ROW]
[ROW][C]0.69[/C][C]115.060930718920[/C][C]0.599205973488084[/C][/ROW]
[ROW][C]0.7[/C][C]115.216256605323[/C][C]0.616309805285072[/C][/ROW]
[ROW][C]0.71[/C][C]115.378441527970[/C][C]0.639840771590197[/C][/ROW]
[ROW][C]0.72[/C][C]115.549088085698[/C][C]0.668146277961009[/C][/ROW]
[ROW][C]0.73[/C][C]115.729413504342[/C][C]0.699432761694202[/C][/ROW]
[ROW][C]0.74[/C][C]115.920145359559[/C][C]0.73147102756768[/C][/ROW]
[ROW][C]0.75[/C][C]116.121417560396[/C][C]0.76159612292871[/C][/ROW]
[ROW][C]0.76[/C][C]116.332679078778[/C][C]0.787267304593679[/C][/ROW]
[ROW][C]0.77[/C][C]116.552613374736[/C][C]0.805763606327498[/C][/ROW]
[ROW][C]0.78[/C][C]116.779069949083[/C][C]0.814600525681966[/C][/ROW]
[ROW][C]0.79[/C][C]117.009044546290[/C][C]0.810800984051192[/C][/ROW]
[ROW][C]0.8[/C][C]117.238793555323[/C][C]0.792391154308642[/C][/ROW]
[ROW][C]0.81[/C][C]117.464187097581[/C][C]0.758435939542297[/C][/ROW]
[ROW][C]0.82[/C][C]117.681356394420[/C][C]0.710696751579448[/C][/ROW]
[ROW][C]0.83[/C][C]117.887580665978[/C][C]0.654364961016353[/C][/ROW]
[ROW][C]0.84[/C][C]118.082244383744[/C][C]0.597490392245164[/C][/ROW]
[ROW][C]0.85[/C][C]118.267643587851[/C][C]0.550205140073119[/C][/ROW]
[ROW][C]0.86[/C][C]118.449444724616[/C][C]0.523187587852083[/C][/ROW]
[ROW][C]0.87[/C][C]118.636650372868[/C][C]0.525470753149[/C][/ROW]
[ROW][C]0.88[/C][C]118.840963717847[/C][C]0.561828345030369[/C][/ROW]
[ROW][C]0.89[/C][C]119.075546985966[/C][C]0.630607128122798[/C][/ROW]
[ROW][C]0.9[/C][C]119.353497155248[/C][C]0.723534757941389[/C][/ROW]
[ROW][C]0.91[/C][C]119.686799962903[/C][C]0.829206034768635[/C][/ROW]
[ROW][C]0.92[/C][C]120.086251220578[/C][C]0.939451652739821[/C][/ROW]
[ROW][C]0.93[/C][C]120.560880395151[/C][C]1.04952463429130[/C][/ROW]
[ROW][C]0.94[/C][C]121.113084411743[/C][C]1.14263588687619[/C][/ROW]
[ROW][C]0.95[/C][C]121.728084255606[/C][C]1.17152215468209[/C][/ROW]
[ROW][C]0.96[/C][C]122.366329922226[/C][C]1.08076704139963[/C][/ROW]
[ROW][C]0.97[/C][C]122.976508435329[/C][C]0.869052758801187[/C][/ROW]
[ROW][C]0.98[/C][C]123.539843665238[/C][C]0.62442647649784[/C][/ROW]
[ROW][C]0.99[/C][C]124.089414902858[/C][C]0.546719509721342[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82357&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82357&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
0.0197.7943087148240.481633444977123
0.0298.18450741311480.267412746165919
0.0398.45028249709460.356544345125557
0.0498.72937639407150.600993474785955
0.0599.10124801956540.863085276593551
0.0699.56605145228491.06488361000944
0.07100.0885307584411.18616492445573
0.08100.6295573230751.23854117669267
0.09101.1591316700071.23511218514157
0.1101.6577045279051.18774131425380
0.11102.1147851646841.1149043545249
0.12102.5281833344421.04088445664324
0.13102.9026861619910.984764649373136
0.14103.2472189239240.954182934749601
0.15103.5714261345540.945454753622644
0.16103.8831492462360.950398700039179
0.17104.1874471179110.961016207677426
0.18104.4868465979480.971672847343654
0.19104.7821386023900.979874352255212
0.2105.0731828087890.984343518813413
0.21105.3594984871960.98508254126729
0.22105.6406492367760.98296471281305
0.23105.9165092180780.97977337625961
0.24106.1874702140830.977963359733149
0.25106.4545797403700.980551337069783
0.26106.7195445039800.990356106248983
0.27106.9845251076391.00941152873566
0.28107.2516990551551.03705259829607
0.29107.5226634997481.06928664567364
0.3107.7978436800581.09976184254821
0.31108.0761160530541.12082925482501
0.32108.3548146537271.12578817619923
0.33108.6301721520431.11119759086661
0.34108.8980978208901.07743785295421
0.35109.1550734932521.02933271313912
0.36109.3989036028920.9743559369884
0.37109.6291022219160.920982715032776
0.38109.8468181607340.876374474389611
0.39110.0543437237600.844580237210325
0.4110.2543736991230.825687098019143
0.41110.4492420051250.815231451415613
0.42110.6403512898620.808045338453531
0.43110.8279371756060.79733874980744
0.44111.0112022603430.779393089303635
0.45111.1887498687010.75266791723058
0.46111.3591734286510.718842884299273
0.47111.5216311395630.681631304712542
0.48111.6762582903700.646884892641704
0.49111.8243278768270.620296539680159
0.5111.9681422163360.606357130114761
0.51112.1107017886690.607789611843385
0.52112.2552373584360.624158338682733
0.53112.4047035218540.652951973918367
0.54112.5613222422940.68926433935562
0.55112.7262445697030.727721305882189
0.56112.8993766313110.762383053377458
0.57113.0793951175440.787952474891130
0.58113.2639551757970.80070702476703
0.59113.4500660294610.798456226260686
0.6113.6345773501030.781592518645759
0.61113.8146901734690.753046367722552
0.62113.9883924854880.71678444444952
0.63114.1547321594040.678710152401628
0.64114.3138802230630.643645312080187
0.65114.4669944699810.615742404675105
0.66114.6159467626030.597146673622507
0.67114.7630059634360.588570074544006
0.68114.9105610480340.589603000310155
0.69115.0609307189200.599205973488084
0.7115.2162566053230.616309805285072
0.71115.3784415279700.639840771590197
0.72115.5490880856980.668146277961009
0.73115.7294135043420.699432761694202
0.74115.9201453595590.73147102756768
0.75116.1214175603960.76159612292871
0.76116.3326790787780.787267304593679
0.77116.5526133747360.805763606327498
0.78116.7790699490830.814600525681966
0.79117.0090445462900.810800984051192
0.8117.2387935553230.792391154308642
0.81117.4641870975810.758435939542297
0.82117.6813563944200.710696751579448
0.83117.8875806659780.654364961016353
0.84118.0822443837440.597490392245164
0.85118.2676435878510.550205140073119
0.86118.4494447246160.523187587852083
0.87118.6366503728680.525470753149
0.88118.8409637178470.561828345030369
0.89119.0755469859660.630607128122798
0.9119.3534971552480.723534757941389
0.91119.6867999629030.829206034768635
0.92120.0862512205780.939451652739821
0.93120.5608803951511.04952463429130
0.94121.1130844117431.14263588687619
0.95121.7280842556061.17152215468209
0.96122.3663299222261.08076704139963
0.97122.9765084353290.869052758801187
0.98123.5398436652380.62442647649784
0.99124.0894149028580.546719509721342


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')