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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, 17 Oct 2009 13:53:40 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/17/t1255809321v0bzx67f6n0auec.htm/, Retrieved Mon, 29 Apr 2024 14:54:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47218, Retrieved Mon, 29 Apr 2024 14:54:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact149

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] [opgave 4 oefening 2] [2009-10-17 19:53:40] [bad7dbea6bcbbbbea3fc380bb800ab43] [Current]
-   PD    [Harrell-Davis Quantiles] [oef 4 1 VErb] [2009-10-24 18:31:29] [6871f93be6d0be6de9fd7f767f34808c]
- RMPD      [Univariate Data Series] [Inschrijvingen va...] [2009-11-29 10:19:17] [6871f93be6d0be6de9fd7f767f34808c]
- RMP         [Mean Plot] [inschrijving pers...] [2009-11-29 10:30:28] [6871f93be6d0be6de9fd7f767f34808c]
- RMPD        [Mean Plot] [gemiddelde prijs ...] [2009-11-29 11:02:34] [6871f93be6d0be6de9fd7f767f34808c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,65
109,2
103,93
101,93
101,58
102,63
106,83
105,57
105
104,16
106,93
106,5
106,47
112,33
106,81
103,49
104,13
103,2
105,55
102,8
106,68
105,43
109,01
112,24
112,87
110,98
112,85
112,08
110,72
109,69
112,53
112,99
111,74
111,15
114,82
117,38
117,81
122,85
116,96
119,16
117,74
118,84
123,81
120,33
119,2
117,32
128,58
129,2
126,19
132,1
128,12
122,28
122,36
123,13
125,97
126,14
122,7
122,67
129,19
133,01
123,96
128,96
127,32
131,38
125,25
127,91
130,42
128,44
125,86
125,71
130,63
131,78
125,61
131,84
122,14
127,13
124,49
125,48
129,86
126,32
125,56
125,64
128,26
125,47
134,4
134,5
131,22
121,62
124,16
127,5
132,86
127,87
124,07
124,25
131,16
129,24
129,24
135,51
128,97
126,89
127,52
130,31
132,39
132,69
128,73
129,66
127,72
132,63
129,74
138,46
134,31
128,8
129,95
134,15
136,01
135,1
132,27
132,49
130,06
136,11
131,47
140,61
141,65
126,75
133,9
138,75
141,86
141,13
138,76
138,65
138,59
147,09
140,17
152,38
144,02
139,55
141,1
145,85
147,88
145,17

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=47218&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=47218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47218&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
0.01101.9709187881090.507834983329282
0.02102.5407234561500.574986978186422
0.03103.0556221768470.600625234221576
0.04103.5106797167110.645538723640651
0.05103.9359115298370.694998476642596
0.06104.3488952612550.757622174207645
0.07104.7602856184380.825627127643618
0.08105.174906722580.887637268482391
0.09105.5949958045350.953249628806038
0.1106.0270656183701.04849049274184
0.11106.4851219654111.19736827211491
0.12106.9868136806501.39949104109896
0.13107.5449314088511.62299758306098
0.14108.1595708552021.81796534206275
0.15108.8159111747741.94114625202260
0.16109.4892766930131.97788657088552
0.17110.1548909656301.94722573091094
0.18110.7973749921441.89333413654786
0.19111.4157985911521.86862842484148
0.2112.0227807871711.9130362313728
0.21112.638805799322.03940588781008
0.22113.2844523017262.22906620912875
0.23113.9734894059742.44274342581470
0.24114.7090432691252.63768424704104
0.25115.4836383544832.7803803712507
0.26116.2823683633622.85566278679593
0.27117.0873875597292.86435941290848
0.28117.8817948360592.81860779578000
0.29118.6517662441122.73103375888652
0.3119.3869288113852.61207666044057
0.31120.079781804642.46778922118766
0.32120.7250961752632.30315673519971
0.33121.3197785260982.12579865309471
0.34121.8630989901081.94606230649764
0.35122.3568495501231.77458682945163
0.36122.8050542184111.62095147077922
0.37123.2131599325751.48937389745692
0.38123.5869521548641.37903806632943
0.39123.9315814322771.28542788803618
0.4124.2510191092451.20212277256137
0.41124.5480595227011.12525250807037
0.42124.8247676424821.05287972773425
0.43125.0831244145440.98639990870957
0.44125.3255855002920.929996635352371
0.45125.5553358001240.887759228740324
0.46125.7761553420460.861926514832325
0.47125.9919603180590.852406596936173
0.48126.2061948305280.855846004368599
0.49126.4212884140830.866310610328192
0.5126.6383536683150.877288595899978
0.51126.8571998716090.883763985475285
0.52127.0766251342600.882493269996851
0.53127.2948661038260.872511511070116
0.54127.5100582713290.854966882792765
0.55127.7205925480930.83117545166981
0.56127.9253216029650.803923977838786
0.57128.1236375744780.775248059924814
0.58128.3154816232450.746892611958921
0.59128.5013438717460.721093614851633
0.6128.6822791394490.700239278422386
0.61128.8599225363610.686392433571126
0.62129.0364624990480.681678874474537
0.63129.2145287483260.688292721935024
0.64129.3969752707640.706059086263185
0.65129.5865705115990.733754631489075
0.66129.7856355249670.769098266613879
0.67129.9956900156430.807550737084229
0.68130.2171766527490.845328319079372
0.69130.4493366337970.876847146328814
0.7130.6903005021860.898252894412979
0.71130.9374310283040.907521705661473
0.72131.1879065879200.904707025387838
0.73131.4394693929220.893144913978847
0.74131.6911964559500.879083443860064
0.75131.9441018781410.870357606098074
0.76132.2013754721330.874835791232808
0.77132.4681415527010.899031434423757
0.78132.7508032402390.944805996335446
0.79133.0562723322501.01089240013704
0.8133.3915146045211.09337249893177
0.81133.7636559736651.19182962868116
0.82134.1803279645061.30753545491882
0.83134.6492770052961.44147553521943
0.84135.1761833670061.58525669585194
0.85135.7607195742661.71488403739044
0.86136.3928647424251.79615437328768
0.87137.0528336066971.79983236717117
0.88137.7166826539851.72296741119918
0.89138.365539302731.59520434092253
0.9138.9928612326581.46289625207305
0.91139.6061242613421.36033910940281
0.92140.2268952528831.30453255255900
0.93140.8967228005041.32769678418329
0.94141.6838257530771.4849351726679
0.95142.6655262915641.75388428061205
0.96143.8750981742951.95279371140929
0.97145.2831323436181.90163660192328
0.98146.9979941686561.77823151751368
0.99149.6032063765602.62671189035792

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.970918788109 & 0.507834983329282 \tabularnewline
0.02 & 102.540723456150 & 0.574986978186422 \tabularnewline
0.03 & 103.055622176847 & 0.600625234221576 \tabularnewline
0.04 & 103.510679716711 & 0.645538723640651 \tabularnewline
0.05 & 103.935911529837 & 0.694998476642596 \tabularnewline
0.06 & 104.348895261255 & 0.757622174207645 \tabularnewline
0.07 & 104.760285618438 & 0.825627127643618 \tabularnewline
0.08 & 105.17490672258 & 0.887637268482391 \tabularnewline
0.09 & 105.594995804535 & 0.953249628806038 \tabularnewline
0.1 & 106.027065618370 & 1.04849049274184 \tabularnewline
0.11 & 106.485121965411 & 1.19736827211491 \tabularnewline
0.12 & 106.986813680650 & 1.39949104109896 \tabularnewline
0.13 & 107.544931408851 & 1.62299758306098 \tabularnewline
0.14 & 108.159570855202 & 1.81796534206275 \tabularnewline
0.15 & 108.815911174774 & 1.94114625202260 \tabularnewline
0.16 & 109.489276693013 & 1.97788657088552 \tabularnewline
0.17 & 110.154890965630 & 1.94722573091094 \tabularnewline
0.18 & 110.797374992144 & 1.89333413654786 \tabularnewline
0.19 & 111.415798591152 & 1.86862842484148 \tabularnewline
0.2 & 112.022780787171 & 1.9130362313728 \tabularnewline
0.21 & 112.63880579932 & 2.03940588781008 \tabularnewline
0.22 & 113.284452301726 & 2.22906620912875 \tabularnewline
0.23 & 113.973489405974 & 2.44274342581470 \tabularnewline
0.24 & 114.709043269125 & 2.63768424704104 \tabularnewline
0.25 & 115.483638354483 & 2.7803803712507 \tabularnewline
0.26 & 116.282368363362 & 2.85566278679593 \tabularnewline
0.27 & 117.087387559729 & 2.86435941290848 \tabularnewline
0.28 & 117.881794836059 & 2.81860779578000 \tabularnewline
0.29 & 118.651766244112 & 2.73103375888652 \tabularnewline
0.3 & 119.386928811385 & 2.61207666044057 \tabularnewline
0.31 & 120.07978180464 & 2.46778922118766 \tabularnewline
0.32 & 120.725096175263 & 2.30315673519971 \tabularnewline
0.33 & 121.319778526098 & 2.12579865309471 \tabularnewline
0.34 & 121.863098990108 & 1.94606230649764 \tabularnewline
0.35 & 122.356849550123 & 1.77458682945163 \tabularnewline
0.36 & 122.805054218411 & 1.62095147077922 \tabularnewline
0.37 & 123.213159932575 & 1.48937389745692 \tabularnewline
0.38 & 123.586952154864 & 1.37903806632943 \tabularnewline
0.39 & 123.931581432277 & 1.28542788803618 \tabularnewline
0.4 & 124.251019109245 & 1.20212277256137 \tabularnewline
0.41 & 124.548059522701 & 1.12525250807037 \tabularnewline
0.42 & 124.824767642482 & 1.05287972773425 \tabularnewline
0.43 & 125.083124414544 & 0.98639990870957 \tabularnewline
0.44 & 125.325585500292 & 0.929996635352371 \tabularnewline
0.45 & 125.555335800124 & 0.887759228740324 \tabularnewline
0.46 & 125.776155342046 & 0.861926514832325 \tabularnewline
0.47 & 125.991960318059 & 0.852406596936173 \tabularnewline
0.48 & 126.206194830528 & 0.855846004368599 \tabularnewline
0.49 & 126.421288414083 & 0.866310610328192 \tabularnewline
0.5 & 126.638353668315 & 0.877288595899978 \tabularnewline
0.51 & 126.857199871609 & 0.883763985475285 \tabularnewline
0.52 & 127.076625134260 & 0.882493269996851 \tabularnewline
0.53 & 127.294866103826 & 0.872511511070116 \tabularnewline
0.54 & 127.510058271329 & 0.854966882792765 \tabularnewline
0.55 & 127.720592548093 & 0.83117545166981 \tabularnewline
0.56 & 127.925321602965 & 0.803923977838786 \tabularnewline
0.57 & 128.123637574478 & 0.775248059924814 \tabularnewline
0.58 & 128.315481623245 & 0.746892611958921 \tabularnewline
0.59 & 128.501343871746 & 0.721093614851633 \tabularnewline
0.6 & 128.682279139449 & 0.700239278422386 \tabularnewline
0.61 & 128.859922536361 & 0.686392433571126 \tabularnewline
0.62 & 129.036462499048 & 0.681678874474537 \tabularnewline
0.63 & 129.214528748326 & 0.688292721935024 \tabularnewline
0.64 & 129.396975270764 & 0.706059086263185 \tabularnewline
0.65 & 129.586570511599 & 0.733754631489075 \tabularnewline
0.66 & 129.785635524967 & 0.769098266613879 \tabularnewline
0.67 & 129.995690015643 & 0.807550737084229 \tabularnewline
0.68 & 130.217176652749 & 0.845328319079372 \tabularnewline
0.69 & 130.449336633797 & 0.876847146328814 \tabularnewline
0.7 & 130.690300502186 & 0.898252894412979 \tabularnewline
0.71 & 130.937431028304 & 0.907521705661473 \tabularnewline
0.72 & 131.187906587920 & 0.904707025387838 \tabularnewline
0.73 & 131.439469392922 & 0.893144913978847 \tabularnewline
0.74 & 131.691196455950 & 0.879083443860064 \tabularnewline
0.75 & 131.944101878141 & 0.870357606098074 \tabularnewline
0.76 & 132.201375472133 & 0.874835791232808 \tabularnewline
0.77 & 132.468141552701 & 0.899031434423757 \tabularnewline
0.78 & 132.750803240239 & 0.944805996335446 \tabularnewline
0.79 & 133.056272332250 & 1.01089240013704 \tabularnewline
0.8 & 133.391514604521 & 1.09337249893177 \tabularnewline
0.81 & 133.763655973665 & 1.19182962868116 \tabularnewline
0.82 & 134.180327964506 & 1.30753545491882 \tabularnewline
0.83 & 134.649277005296 & 1.44147553521943 \tabularnewline
0.84 & 135.176183367006 & 1.58525669585194 \tabularnewline
0.85 & 135.760719574266 & 1.71488403739044 \tabularnewline
0.86 & 136.392864742425 & 1.79615437328768 \tabularnewline
0.87 & 137.052833606697 & 1.79983236717117 \tabularnewline
0.88 & 137.716682653985 & 1.72296741119918 \tabularnewline
0.89 & 138.36553930273 & 1.59520434092253 \tabularnewline
0.9 & 138.992861232658 & 1.46289625207305 \tabularnewline
0.91 & 139.606124261342 & 1.36033910940281 \tabularnewline
0.92 & 140.226895252883 & 1.30453255255900 \tabularnewline
0.93 & 140.896722800504 & 1.32769678418329 \tabularnewline
0.94 & 141.683825753077 & 1.4849351726679 \tabularnewline
0.95 & 142.665526291564 & 1.75388428061205 \tabularnewline
0.96 & 143.875098174295 & 1.95279371140929 \tabularnewline
0.97 & 145.283132343618 & 1.90163660192328 \tabularnewline
0.98 & 146.997994168656 & 1.77823151751368 \tabularnewline
0.99 & 149.603206376560 & 2.62671189035792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47218&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]101.970918788109[/C][C]0.507834983329282[/C][/ROW]
[ROW][C]0.02[/C][C]102.540723456150[/C][C]0.574986978186422[/C][/ROW]
[ROW][C]0.03[/C][C]103.055622176847[/C][C]0.600625234221576[/C][/ROW]
[ROW][C]0.04[/C][C]103.510679716711[/C][C]0.645538723640651[/C][/ROW]
[ROW][C]0.05[/C][C]103.935911529837[/C][C]0.694998476642596[/C][/ROW]
[ROW][C]0.06[/C][C]104.348895261255[/C][C]0.757622174207645[/C][/ROW]
[ROW][C]0.07[/C][C]104.760285618438[/C][C]0.825627127643618[/C][/ROW]
[ROW][C]0.08[/C][C]105.17490672258[/C][C]0.887637268482391[/C][/ROW]
[ROW][C]0.09[/C][C]105.594995804535[/C][C]0.953249628806038[/C][/ROW]
[ROW][C]0.1[/C][C]106.027065618370[/C][C]1.04849049274184[/C][/ROW]
[ROW][C]0.11[/C][C]106.485121965411[/C][C]1.19736827211491[/C][/ROW]
[ROW][C]0.12[/C][C]106.986813680650[/C][C]1.39949104109896[/C][/ROW]
[ROW][C]0.13[/C][C]107.544931408851[/C][C]1.62299758306098[/C][/ROW]
[ROW][C]0.14[/C][C]108.159570855202[/C][C]1.81796534206275[/C][/ROW]
[ROW][C]0.15[/C][C]108.815911174774[/C][C]1.94114625202260[/C][/ROW]
[ROW][C]0.16[/C][C]109.489276693013[/C][C]1.97788657088552[/C][/ROW]
[ROW][C]0.17[/C][C]110.154890965630[/C][C]1.94722573091094[/C][/ROW]
[ROW][C]0.18[/C][C]110.797374992144[/C][C]1.89333413654786[/C][/ROW]
[ROW][C]0.19[/C][C]111.415798591152[/C][C]1.86862842484148[/C][/ROW]
[ROW][C]0.2[/C][C]112.022780787171[/C][C]1.9130362313728[/C][/ROW]
[ROW][C]0.21[/C][C]112.63880579932[/C][C]2.03940588781008[/C][/ROW]
[ROW][C]0.22[/C][C]113.284452301726[/C][C]2.22906620912875[/C][/ROW]
[ROW][C]0.23[/C][C]113.973489405974[/C][C]2.44274342581470[/C][/ROW]
[ROW][C]0.24[/C][C]114.709043269125[/C][C]2.63768424704104[/C][/ROW]
[ROW][C]0.25[/C][C]115.483638354483[/C][C]2.7803803712507[/C][/ROW]
[ROW][C]0.26[/C][C]116.282368363362[/C][C]2.85566278679593[/C][/ROW]
[ROW][C]0.27[/C][C]117.087387559729[/C][C]2.86435941290848[/C][/ROW]
[ROW][C]0.28[/C][C]117.881794836059[/C][C]2.81860779578000[/C][/ROW]
[ROW][C]0.29[/C][C]118.651766244112[/C][C]2.73103375888652[/C][/ROW]
[ROW][C]0.3[/C][C]119.386928811385[/C][C]2.61207666044057[/C][/ROW]
[ROW][C]0.31[/C][C]120.07978180464[/C][C]2.46778922118766[/C][/ROW]
[ROW][C]0.32[/C][C]120.725096175263[/C][C]2.30315673519971[/C][/ROW]
[ROW][C]0.33[/C][C]121.319778526098[/C][C]2.12579865309471[/C][/ROW]
[ROW][C]0.34[/C][C]121.863098990108[/C][C]1.94606230649764[/C][/ROW]
[ROW][C]0.35[/C][C]122.356849550123[/C][C]1.77458682945163[/C][/ROW]
[ROW][C]0.36[/C][C]122.805054218411[/C][C]1.62095147077922[/C][/ROW]
[ROW][C]0.37[/C][C]123.213159932575[/C][C]1.48937389745692[/C][/ROW]
[ROW][C]0.38[/C][C]123.586952154864[/C][C]1.37903806632943[/C][/ROW]
[ROW][C]0.39[/C][C]123.931581432277[/C][C]1.28542788803618[/C][/ROW]
[ROW][C]0.4[/C][C]124.251019109245[/C][C]1.20212277256137[/C][/ROW]
[ROW][C]0.41[/C][C]124.548059522701[/C][C]1.12525250807037[/C][/ROW]
[ROW][C]0.42[/C][C]124.824767642482[/C][C]1.05287972773425[/C][/ROW]
[ROW][C]0.43[/C][C]125.083124414544[/C][C]0.98639990870957[/C][/ROW]
[ROW][C]0.44[/C][C]125.325585500292[/C][C]0.929996635352371[/C][/ROW]
[ROW][C]0.45[/C][C]125.555335800124[/C][C]0.887759228740324[/C][/ROW]
[ROW][C]0.46[/C][C]125.776155342046[/C][C]0.861926514832325[/C][/ROW]
[ROW][C]0.47[/C][C]125.991960318059[/C][C]0.852406596936173[/C][/ROW]
[ROW][C]0.48[/C][C]126.206194830528[/C][C]0.855846004368599[/C][/ROW]
[ROW][C]0.49[/C][C]126.421288414083[/C][C]0.866310610328192[/C][/ROW]
[ROW][C]0.5[/C][C]126.638353668315[/C][C]0.877288595899978[/C][/ROW]
[ROW][C]0.51[/C][C]126.857199871609[/C][C]0.883763985475285[/C][/ROW]
[ROW][C]0.52[/C][C]127.076625134260[/C][C]0.882493269996851[/C][/ROW]
[ROW][C]0.53[/C][C]127.294866103826[/C][C]0.872511511070116[/C][/ROW]
[ROW][C]0.54[/C][C]127.510058271329[/C][C]0.854966882792765[/C][/ROW]
[ROW][C]0.55[/C][C]127.720592548093[/C][C]0.83117545166981[/C][/ROW]
[ROW][C]0.56[/C][C]127.925321602965[/C][C]0.803923977838786[/C][/ROW]
[ROW][C]0.57[/C][C]128.123637574478[/C][C]0.775248059924814[/C][/ROW]
[ROW][C]0.58[/C][C]128.315481623245[/C][C]0.746892611958921[/C][/ROW]
[ROW][C]0.59[/C][C]128.501343871746[/C][C]0.721093614851633[/C][/ROW]
[ROW][C]0.6[/C][C]128.682279139449[/C][C]0.700239278422386[/C][/ROW]
[ROW][C]0.61[/C][C]128.859922536361[/C][C]0.686392433571126[/C][/ROW]
[ROW][C]0.62[/C][C]129.036462499048[/C][C]0.681678874474537[/C][/ROW]
[ROW][C]0.63[/C][C]129.214528748326[/C][C]0.688292721935024[/C][/ROW]
[ROW][C]0.64[/C][C]129.396975270764[/C][C]0.706059086263185[/C][/ROW]
[ROW][C]0.65[/C][C]129.586570511599[/C][C]0.733754631489075[/C][/ROW]
[ROW][C]0.66[/C][C]129.785635524967[/C][C]0.769098266613879[/C][/ROW]
[ROW][C]0.67[/C][C]129.995690015643[/C][C]0.807550737084229[/C][/ROW]
[ROW][C]0.68[/C][C]130.217176652749[/C][C]0.845328319079372[/C][/ROW]
[ROW][C]0.69[/C][C]130.449336633797[/C][C]0.876847146328814[/C][/ROW]
[ROW][C]0.7[/C][C]130.690300502186[/C][C]0.898252894412979[/C][/ROW]
[ROW][C]0.71[/C][C]130.937431028304[/C][C]0.907521705661473[/C][/ROW]
[ROW][C]0.72[/C][C]131.187906587920[/C][C]0.904707025387838[/C][/ROW]
[ROW][C]0.73[/C][C]131.439469392922[/C][C]0.893144913978847[/C][/ROW]
[ROW][C]0.74[/C][C]131.691196455950[/C][C]0.879083443860064[/C][/ROW]
[ROW][C]0.75[/C][C]131.944101878141[/C][C]0.870357606098074[/C][/ROW]
[ROW][C]0.76[/C][C]132.201375472133[/C][C]0.874835791232808[/C][/ROW]
[ROW][C]0.77[/C][C]132.468141552701[/C][C]0.899031434423757[/C][/ROW]
[ROW][C]0.78[/C][C]132.750803240239[/C][C]0.944805996335446[/C][/ROW]
[ROW][C]0.79[/C][C]133.056272332250[/C][C]1.01089240013704[/C][/ROW]
[ROW][C]0.8[/C][C]133.391514604521[/C][C]1.09337249893177[/C][/ROW]
[ROW][C]0.81[/C][C]133.763655973665[/C][C]1.19182962868116[/C][/ROW]
[ROW][C]0.82[/C][C]134.180327964506[/C][C]1.30753545491882[/C][/ROW]
[ROW][C]0.83[/C][C]134.649277005296[/C][C]1.44147553521943[/C][/ROW]
[ROW][C]0.84[/C][C]135.176183367006[/C][C]1.58525669585194[/C][/ROW]
[ROW][C]0.85[/C][C]135.760719574266[/C][C]1.71488403739044[/C][/ROW]
[ROW][C]0.86[/C][C]136.392864742425[/C][C]1.79615437328768[/C][/ROW]
[ROW][C]0.87[/C][C]137.052833606697[/C][C]1.79983236717117[/C][/ROW]
[ROW][C]0.88[/C][C]137.716682653985[/C][C]1.72296741119918[/C][/ROW]
[ROW][C]0.89[/C][C]138.36553930273[/C][C]1.59520434092253[/C][/ROW]
[ROW][C]0.9[/C][C]138.992861232658[/C][C]1.46289625207305[/C][/ROW]
[ROW][C]0.91[/C][C]139.606124261342[/C][C]1.36033910940281[/C][/ROW]
[ROW][C]0.92[/C][C]140.226895252883[/C][C]1.30453255255900[/C][/ROW]
[ROW][C]0.93[/C][C]140.896722800504[/C][C]1.32769678418329[/C][/ROW]
[ROW][C]0.94[/C][C]141.683825753077[/C][C]1.4849351726679[/C][/ROW]
[ROW][C]0.95[/C][C]142.665526291564[/C][C]1.75388428061205[/C][/ROW]
[ROW][C]0.96[/C][C]143.875098174295[/C][C]1.95279371140929[/C][/ROW]
[ROW][C]0.97[/C][C]145.283132343618[/C][C]1.90163660192328[/C][/ROW]
[ROW][C]0.98[/C][C]146.997994168656[/C][C]1.77823151751368[/C][/ROW]
[ROW][C]0.99[/C][C]149.603206376560[/C][C]2.62671189035792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47218&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
0.01101.9709187881090.507834983329282
0.02102.5407234561500.574986978186422
0.03103.0556221768470.600625234221576
0.04103.5106797167110.645538723640651
0.05103.9359115298370.694998476642596
0.06104.3488952612550.757622174207645
0.07104.7602856184380.825627127643618
0.08105.174906722580.887637268482391
0.09105.5949958045350.953249628806038
0.1106.0270656183701.04849049274184
0.11106.4851219654111.19736827211491
0.12106.9868136806501.39949104109896
0.13107.5449314088511.62299758306098
0.14108.1595708552021.81796534206275
0.15108.8159111747741.94114625202260
0.16109.4892766930131.97788657088552
0.17110.1548909656301.94722573091094
0.18110.7973749921441.89333413654786
0.19111.4157985911521.86862842484148
0.2112.0227807871711.9130362313728
0.21112.638805799322.03940588781008
0.22113.2844523017262.22906620912875
0.23113.9734894059742.44274342581470
0.24114.7090432691252.63768424704104
0.25115.4836383544832.7803803712507
0.26116.2823683633622.85566278679593
0.27117.0873875597292.86435941290848
0.28117.8817948360592.81860779578000
0.29118.6517662441122.73103375888652
0.3119.3869288113852.61207666044057
0.31120.079781804642.46778922118766
0.32120.7250961752632.30315673519971
0.33121.3197785260982.12579865309471
0.34121.8630989901081.94606230649764
0.35122.3568495501231.77458682945163
0.36122.8050542184111.62095147077922
0.37123.2131599325751.48937389745692
0.38123.5869521548641.37903806632943
0.39123.9315814322771.28542788803618
0.4124.2510191092451.20212277256137
0.41124.5480595227011.12525250807037
0.42124.8247676424821.05287972773425
0.43125.0831244145440.98639990870957
0.44125.3255855002920.929996635352371
0.45125.5553358001240.887759228740324
0.46125.7761553420460.861926514832325
0.47125.9919603180590.852406596936173
0.48126.2061948305280.855846004368599
0.49126.4212884140830.866310610328192
0.5126.6383536683150.877288595899978
0.51126.8571998716090.883763985475285
0.52127.0766251342600.882493269996851
0.53127.2948661038260.872511511070116
0.54127.5100582713290.854966882792765
0.55127.7205925480930.83117545166981
0.56127.9253216029650.803923977838786
0.57128.1236375744780.775248059924814
0.58128.3154816232450.746892611958921
0.59128.5013438717460.721093614851633
0.6128.6822791394490.700239278422386
0.61128.8599225363610.686392433571126
0.62129.0364624990480.681678874474537
0.63129.2145287483260.688292721935024
0.64129.3969752707640.706059086263185
0.65129.5865705115990.733754631489075
0.66129.7856355249670.769098266613879
0.67129.9956900156430.807550737084229
0.68130.2171766527490.845328319079372
0.69130.4493366337970.876847146328814
0.7130.6903005021860.898252894412979
0.71130.9374310283040.907521705661473
0.72131.1879065879200.904707025387838
0.73131.4394693929220.893144913978847
0.74131.6911964559500.879083443860064
0.75131.9441018781410.870357606098074
0.76132.2013754721330.874835791232808
0.77132.4681415527010.899031434423757
0.78132.7508032402390.944805996335446
0.79133.0562723322501.01089240013704
0.8133.3915146045211.09337249893177
0.81133.7636559736651.19182962868116
0.82134.1803279645061.30753545491882
0.83134.6492770052961.44147553521943
0.84135.1761833670061.58525669585194
0.85135.7607195742661.71488403739044
0.86136.3928647424251.79615437328768
0.87137.0528336066971.79983236717117
0.88137.7166826539851.72296741119918
0.89138.365539302731.59520434092253
0.9138.9928612326581.46289625207305
0.91139.6061242613421.36033910940281
0.92140.2268952528831.30453255255900
0.93140.8967228005041.32769678418329
0.94141.6838257530771.4849351726679
0.95142.6655262915641.75388428061205
0.96143.8750981742951.95279371140929
0.97145.2831323436181.90163660192328
0.98146.9979941686561.77823151751368
0.99149.6032063765602.62671189035792


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')