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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 15 Dec 2010 16:57:10 +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/Dec/15/t1292432148nlrr2zjx06q7be4.htm/, Retrieved Fri, 03 May 2024 05:56:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110576, Retrieved Fri, 03 May 2024 05:56:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [] [2010-12-15 16:57:10] [6fde1c772c7be11768d9b6a0344566b2] [Current]
-    D    [Harrell-Davis Quantiles] [] [2010-12-15 21:06:31] [2db311435ed525bc1ed0ddec922afb8f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110576&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110576&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110576&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.98395063036673.32085339090205
0.0286.59254090797143.75543552743398
0.0388.43850445391953.85858124688739
0.0490.21928116321523.60622665710923
0.0591.79546308638133.25713819171464
0.0693.15532577116773.05620079278199
0.0794.35121553297763.07345654178128
0.0895.44790959187153.22984358471613
0.0996.4937904987633.4115527449904
0.197.51208486436323.5366714244596
0.1198.5045495634053.56549335847034
0.1299.46011051575153.49177255982906
0.13100.3634055303933.33105945192197
0.14101.2008893955143.10988765573246
0.15101.9640792668542.85710736353095
0.16102.6504906676492.59894549664505
0.17103.2630956869972.35661666721015
0.18103.8090443729182.14580446413122
0.19104.2981669946841.976673215987
0.2104.7415572680221.85458585234787
0.21105.1503819991741.77928536251593
0.22105.5349746242261.74591627595408
0.23105.9042267873931.74607928102119
0.24106.2652681624721.77011109641553
0.25106.6234044645781.80890956501983
0.26106.9822633488791.85505817754901
0.27107.3440816801131.90368649460376
0.28107.7100609913731.95189921812529
0.29108.0807233868631.99857324994032
0.3108.4562159634172.04379058677792
0.31108.8365332399552.08799791469063
0.32109.2216485002122.13200216989421
0.33109.611561994052.17616687189115
0.34110.0062844938422.22022204789508
0.35110.4057789154362.26375509102783
0.36110.8098822663382.30551834168208
0.37111.2182272734522.3440777732529
0.38111.6301795010362.37736373670494
0.39112.0448025521762.40344521387044
0.4112.4608610638052.42016526527852
0.41112.8768680159522.4258688322719
0.42113.2911785885282.419535085282
0.43113.7021269720172.40097436845148
0.44114.1081954206982.37112122414921
0.45114.5081974411852.33269102412735
0.46114.9014509099112.28931044471375
0.47115.2879138356512.24564760732063
0.48115.6682568071132.20732317976521
0.49116.0438524865042.17948789409326
0.5116.4166733766212.16648474252973
0.51116.7891029923722.17102529985645
0.52117.163680188012.19346254641223
0.53117.5428090537672.2316576419046
0.54117.9284750285752.28112818307235
0.55118.3220099421742.3360333350907
0.56118.723943973952.38986951459633
0.57119.1339716070772.43645591233647
0.58119.5510432565982.4707107545185
0.59119.9735767441342.48965504764623
0.6120.3997657509872.49260861337336
0.61120.827948086972.48145238904147
0.62121.2569867478492.46058746839901
0.63121.6866123122232.43644340588949
0.64122.1176767214322.41732919322871
0.65122.5522760335862.41183765184652
0.66122.993713267382.42824206276228
0.67123.4462915430072.47300122245189
0.68123.9149512866632.54920515761651
0.69124.4047910509972.6558201695453
0.7124.9205358757112.78791492839237
0.71125.466035280162.93671209511604
0.72126.0438799397263.09160694412983
0.73126.6552181366193.24171301572564
0.74127.2998293569223.3771774396077
0.75127.9764758928983.4916619011223
0.76128.6835103110123.58323980755547
0.77129.4196747150453.65443969019917
0.78130.1849924916963.71333663551847
0.79130.9816256210233.77198314977371
0.8131.8145466924683.84558723899504
0.81132.6918494926913.95016788122902
0.82133.6244973506284.10039829718426
0.83134.6253022316644.30537681250689
0.84135.7069780347874.56377446836549
0.85136.8792698072544.85943896062814
0.86138.1454675881835.15829100256954
0.87139.4990632425545.40983320384637
0.88140.9218074427855.55478496137516
0.89142.3847613056255.53874478935236
0.9143.8537800137415.33103345978109
0.91145.2997956840964.9439080315214
0.92146.7119148658594.44859988878691
0.93148.1077576350883.98049521965259
0.94149.5318466799043.71269048856027
0.95151.0325062831023.73902509699203
0.96152.6158938944163.89681528744129
0.97154.1957969823813.76602844719756
0.98155.5820683014912.93525678888974
0.99156.5525452117961.42906184860695

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.9839506303667 & 3.32085339090205 \tabularnewline
0.02 & 86.5925409079714 & 3.75543552743398 \tabularnewline
0.03 & 88.4385044539195 & 3.85858124688739 \tabularnewline
0.04 & 90.2192811632152 & 3.60622665710923 \tabularnewline
0.05 & 91.7954630863813 & 3.25713819171464 \tabularnewline
0.06 & 93.1553257711677 & 3.05620079278199 \tabularnewline
0.07 & 94.3512155329776 & 3.07345654178128 \tabularnewline
0.08 & 95.4479095918715 & 3.22984358471613 \tabularnewline
0.09 & 96.493790498763 & 3.4115527449904 \tabularnewline
0.1 & 97.5120848643632 & 3.5366714244596 \tabularnewline
0.11 & 98.504549563405 & 3.56549335847034 \tabularnewline
0.12 & 99.4601105157515 & 3.49177255982906 \tabularnewline
0.13 & 100.363405530393 & 3.33105945192197 \tabularnewline
0.14 & 101.200889395514 & 3.10988765573246 \tabularnewline
0.15 & 101.964079266854 & 2.85710736353095 \tabularnewline
0.16 & 102.650490667649 & 2.59894549664505 \tabularnewline
0.17 & 103.263095686997 & 2.35661666721015 \tabularnewline
0.18 & 103.809044372918 & 2.14580446413122 \tabularnewline
0.19 & 104.298166994684 & 1.976673215987 \tabularnewline
0.2 & 104.741557268022 & 1.85458585234787 \tabularnewline
0.21 & 105.150381999174 & 1.77928536251593 \tabularnewline
0.22 & 105.534974624226 & 1.74591627595408 \tabularnewline
0.23 & 105.904226787393 & 1.74607928102119 \tabularnewline
0.24 & 106.265268162472 & 1.77011109641553 \tabularnewline
0.25 & 106.623404464578 & 1.80890956501983 \tabularnewline
0.26 & 106.982263348879 & 1.85505817754901 \tabularnewline
0.27 & 107.344081680113 & 1.90368649460376 \tabularnewline
0.28 & 107.710060991373 & 1.95189921812529 \tabularnewline
0.29 & 108.080723386863 & 1.99857324994032 \tabularnewline
0.3 & 108.456215963417 & 2.04379058677792 \tabularnewline
0.31 & 108.836533239955 & 2.08799791469063 \tabularnewline
0.32 & 109.221648500212 & 2.13200216989421 \tabularnewline
0.33 & 109.61156199405 & 2.17616687189115 \tabularnewline
0.34 & 110.006284493842 & 2.22022204789508 \tabularnewline
0.35 & 110.405778915436 & 2.26375509102783 \tabularnewline
0.36 & 110.809882266338 & 2.30551834168208 \tabularnewline
0.37 & 111.218227273452 & 2.3440777732529 \tabularnewline
0.38 & 111.630179501036 & 2.37736373670494 \tabularnewline
0.39 & 112.044802552176 & 2.40344521387044 \tabularnewline
0.4 & 112.460861063805 & 2.42016526527852 \tabularnewline
0.41 & 112.876868015952 & 2.4258688322719 \tabularnewline
0.42 & 113.291178588528 & 2.419535085282 \tabularnewline
0.43 & 113.702126972017 & 2.40097436845148 \tabularnewline
0.44 & 114.108195420698 & 2.37112122414921 \tabularnewline
0.45 & 114.508197441185 & 2.33269102412735 \tabularnewline
0.46 & 114.901450909911 & 2.28931044471375 \tabularnewline
0.47 & 115.287913835651 & 2.24564760732063 \tabularnewline
0.48 & 115.668256807113 & 2.20732317976521 \tabularnewline
0.49 & 116.043852486504 & 2.17948789409326 \tabularnewline
0.5 & 116.416673376621 & 2.16648474252973 \tabularnewline
0.51 & 116.789102992372 & 2.17102529985645 \tabularnewline
0.52 & 117.16368018801 & 2.19346254641223 \tabularnewline
0.53 & 117.542809053767 & 2.2316576419046 \tabularnewline
0.54 & 117.928475028575 & 2.28112818307235 \tabularnewline
0.55 & 118.322009942174 & 2.3360333350907 \tabularnewline
0.56 & 118.72394397395 & 2.38986951459633 \tabularnewline
0.57 & 119.133971607077 & 2.43645591233647 \tabularnewline
0.58 & 119.551043256598 & 2.4707107545185 \tabularnewline
0.59 & 119.973576744134 & 2.48965504764623 \tabularnewline
0.6 & 120.399765750987 & 2.49260861337336 \tabularnewline
0.61 & 120.82794808697 & 2.48145238904147 \tabularnewline
0.62 & 121.256986747849 & 2.46058746839901 \tabularnewline
0.63 & 121.686612312223 & 2.43644340588949 \tabularnewline
0.64 & 122.117676721432 & 2.41732919322871 \tabularnewline
0.65 & 122.552276033586 & 2.41183765184652 \tabularnewline
0.66 & 122.99371326738 & 2.42824206276228 \tabularnewline
0.67 & 123.446291543007 & 2.47300122245189 \tabularnewline
0.68 & 123.914951286663 & 2.54920515761651 \tabularnewline
0.69 & 124.404791050997 & 2.6558201695453 \tabularnewline
0.7 & 124.920535875711 & 2.78791492839237 \tabularnewline
0.71 & 125.46603528016 & 2.93671209511604 \tabularnewline
0.72 & 126.043879939726 & 3.09160694412983 \tabularnewline
0.73 & 126.655218136619 & 3.24171301572564 \tabularnewline
0.74 & 127.299829356922 & 3.3771774396077 \tabularnewline
0.75 & 127.976475892898 & 3.4916619011223 \tabularnewline
0.76 & 128.683510311012 & 3.58323980755547 \tabularnewline
0.77 & 129.419674715045 & 3.65443969019917 \tabularnewline
0.78 & 130.184992491696 & 3.71333663551847 \tabularnewline
0.79 & 130.981625621023 & 3.77198314977371 \tabularnewline
0.8 & 131.814546692468 & 3.84558723899504 \tabularnewline
0.81 & 132.691849492691 & 3.95016788122902 \tabularnewline
0.82 & 133.624497350628 & 4.10039829718426 \tabularnewline
0.83 & 134.625302231664 & 4.30537681250689 \tabularnewline
0.84 & 135.706978034787 & 4.56377446836549 \tabularnewline
0.85 & 136.879269807254 & 4.85943896062814 \tabularnewline
0.86 & 138.145467588183 & 5.15829100256954 \tabularnewline
0.87 & 139.499063242554 & 5.40983320384637 \tabularnewline
0.88 & 140.921807442785 & 5.55478496137516 \tabularnewline
0.89 & 142.384761305625 & 5.53874478935236 \tabularnewline
0.9 & 143.853780013741 & 5.33103345978109 \tabularnewline
0.91 & 145.299795684096 & 4.9439080315214 \tabularnewline
0.92 & 146.711914865859 & 4.44859988878691 \tabularnewline
0.93 & 148.107757635088 & 3.98049521965259 \tabularnewline
0.94 & 149.531846679904 & 3.71269048856027 \tabularnewline
0.95 & 151.032506283102 & 3.73902509699203 \tabularnewline
0.96 & 152.615893894416 & 3.89681528744129 \tabularnewline
0.97 & 154.195796982381 & 3.76602844719756 \tabularnewline
0.98 & 155.582068301491 & 2.93525678888974 \tabularnewline
0.99 & 156.552545211796 & 1.42906184860695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110576&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]84.9839506303667[/C][C]3.32085339090205[/C][/ROW]
[ROW][C]0.02[/C][C]86.5925409079714[/C][C]3.75543552743398[/C][/ROW]
[ROW][C]0.03[/C][C]88.4385044539195[/C][C]3.85858124688739[/C][/ROW]
[ROW][C]0.04[/C][C]90.2192811632152[/C][C]3.60622665710923[/C][/ROW]
[ROW][C]0.05[/C][C]91.7954630863813[/C][C]3.25713819171464[/C][/ROW]
[ROW][C]0.06[/C][C]93.1553257711677[/C][C]3.05620079278199[/C][/ROW]
[ROW][C]0.07[/C][C]94.3512155329776[/C][C]3.07345654178128[/C][/ROW]
[ROW][C]0.08[/C][C]95.4479095918715[/C][C]3.22984358471613[/C][/ROW]
[ROW][C]0.09[/C][C]96.493790498763[/C][C]3.4115527449904[/C][/ROW]
[ROW][C]0.1[/C][C]97.5120848643632[/C][C]3.5366714244596[/C][/ROW]
[ROW][C]0.11[/C][C]98.504549563405[/C][C]3.56549335847034[/C][/ROW]
[ROW][C]0.12[/C][C]99.4601105157515[/C][C]3.49177255982906[/C][/ROW]
[ROW][C]0.13[/C][C]100.363405530393[/C][C]3.33105945192197[/C][/ROW]
[ROW][C]0.14[/C][C]101.200889395514[/C][C]3.10988765573246[/C][/ROW]
[ROW][C]0.15[/C][C]101.964079266854[/C][C]2.85710736353095[/C][/ROW]
[ROW][C]0.16[/C][C]102.650490667649[/C][C]2.59894549664505[/C][/ROW]
[ROW][C]0.17[/C][C]103.263095686997[/C][C]2.35661666721015[/C][/ROW]
[ROW][C]0.18[/C][C]103.809044372918[/C][C]2.14580446413122[/C][/ROW]
[ROW][C]0.19[/C][C]104.298166994684[/C][C]1.976673215987[/C][/ROW]
[ROW][C]0.2[/C][C]104.741557268022[/C][C]1.85458585234787[/C][/ROW]
[ROW][C]0.21[/C][C]105.150381999174[/C][C]1.77928536251593[/C][/ROW]
[ROW][C]0.22[/C][C]105.534974624226[/C][C]1.74591627595408[/C][/ROW]
[ROW][C]0.23[/C][C]105.904226787393[/C][C]1.74607928102119[/C][/ROW]
[ROW][C]0.24[/C][C]106.265268162472[/C][C]1.77011109641553[/C][/ROW]
[ROW][C]0.25[/C][C]106.623404464578[/C][C]1.80890956501983[/C][/ROW]
[ROW][C]0.26[/C][C]106.982263348879[/C][C]1.85505817754901[/C][/ROW]
[ROW][C]0.27[/C][C]107.344081680113[/C][C]1.90368649460376[/C][/ROW]
[ROW][C]0.28[/C][C]107.710060991373[/C][C]1.95189921812529[/C][/ROW]
[ROW][C]0.29[/C][C]108.080723386863[/C][C]1.99857324994032[/C][/ROW]
[ROW][C]0.3[/C][C]108.456215963417[/C][C]2.04379058677792[/C][/ROW]
[ROW][C]0.31[/C][C]108.836533239955[/C][C]2.08799791469063[/C][/ROW]
[ROW][C]0.32[/C][C]109.221648500212[/C][C]2.13200216989421[/C][/ROW]
[ROW][C]0.33[/C][C]109.61156199405[/C][C]2.17616687189115[/C][/ROW]
[ROW][C]0.34[/C][C]110.006284493842[/C][C]2.22022204789508[/C][/ROW]
[ROW][C]0.35[/C][C]110.405778915436[/C][C]2.26375509102783[/C][/ROW]
[ROW][C]0.36[/C][C]110.809882266338[/C][C]2.30551834168208[/C][/ROW]
[ROW][C]0.37[/C][C]111.218227273452[/C][C]2.3440777732529[/C][/ROW]
[ROW][C]0.38[/C][C]111.630179501036[/C][C]2.37736373670494[/C][/ROW]
[ROW][C]0.39[/C][C]112.044802552176[/C][C]2.40344521387044[/C][/ROW]
[ROW][C]0.4[/C][C]112.460861063805[/C][C]2.42016526527852[/C][/ROW]
[ROW][C]0.41[/C][C]112.876868015952[/C][C]2.4258688322719[/C][/ROW]
[ROW][C]0.42[/C][C]113.291178588528[/C][C]2.419535085282[/C][/ROW]
[ROW][C]0.43[/C][C]113.702126972017[/C][C]2.40097436845148[/C][/ROW]
[ROW][C]0.44[/C][C]114.108195420698[/C][C]2.37112122414921[/C][/ROW]
[ROW][C]0.45[/C][C]114.508197441185[/C][C]2.33269102412735[/C][/ROW]
[ROW][C]0.46[/C][C]114.901450909911[/C][C]2.28931044471375[/C][/ROW]
[ROW][C]0.47[/C][C]115.287913835651[/C][C]2.24564760732063[/C][/ROW]
[ROW][C]0.48[/C][C]115.668256807113[/C][C]2.20732317976521[/C][/ROW]
[ROW][C]0.49[/C][C]116.043852486504[/C][C]2.17948789409326[/C][/ROW]
[ROW][C]0.5[/C][C]116.416673376621[/C][C]2.16648474252973[/C][/ROW]
[ROW][C]0.51[/C][C]116.789102992372[/C][C]2.17102529985645[/C][/ROW]
[ROW][C]0.52[/C][C]117.16368018801[/C][C]2.19346254641223[/C][/ROW]
[ROW][C]0.53[/C][C]117.542809053767[/C][C]2.2316576419046[/C][/ROW]
[ROW][C]0.54[/C][C]117.928475028575[/C][C]2.28112818307235[/C][/ROW]
[ROW][C]0.55[/C][C]118.322009942174[/C][C]2.3360333350907[/C][/ROW]
[ROW][C]0.56[/C][C]118.72394397395[/C][C]2.38986951459633[/C][/ROW]
[ROW][C]0.57[/C][C]119.133971607077[/C][C]2.43645591233647[/C][/ROW]
[ROW][C]0.58[/C][C]119.551043256598[/C][C]2.4707107545185[/C][/ROW]
[ROW][C]0.59[/C][C]119.973576744134[/C][C]2.48965504764623[/C][/ROW]
[ROW][C]0.6[/C][C]120.399765750987[/C][C]2.49260861337336[/C][/ROW]
[ROW][C]0.61[/C][C]120.82794808697[/C][C]2.48145238904147[/C][/ROW]
[ROW][C]0.62[/C][C]121.256986747849[/C][C]2.46058746839901[/C][/ROW]
[ROW][C]0.63[/C][C]121.686612312223[/C][C]2.43644340588949[/C][/ROW]
[ROW][C]0.64[/C][C]122.117676721432[/C][C]2.41732919322871[/C][/ROW]
[ROW][C]0.65[/C][C]122.552276033586[/C][C]2.41183765184652[/C][/ROW]
[ROW][C]0.66[/C][C]122.99371326738[/C][C]2.42824206276228[/C][/ROW]
[ROW][C]0.67[/C][C]123.446291543007[/C][C]2.47300122245189[/C][/ROW]
[ROW][C]0.68[/C][C]123.914951286663[/C][C]2.54920515761651[/C][/ROW]
[ROW][C]0.69[/C][C]124.404791050997[/C][C]2.6558201695453[/C][/ROW]
[ROW][C]0.7[/C][C]124.920535875711[/C][C]2.78791492839237[/C][/ROW]
[ROW][C]0.71[/C][C]125.46603528016[/C][C]2.93671209511604[/C][/ROW]
[ROW][C]0.72[/C][C]126.043879939726[/C][C]3.09160694412983[/C][/ROW]
[ROW][C]0.73[/C][C]126.655218136619[/C][C]3.24171301572564[/C][/ROW]
[ROW][C]0.74[/C][C]127.299829356922[/C][C]3.3771774396077[/C][/ROW]
[ROW][C]0.75[/C][C]127.976475892898[/C][C]3.4916619011223[/C][/ROW]
[ROW][C]0.76[/C][C]128.683510311012[/C][C]3.58323980755547[/C][/ROW]
[ROW][C]0.77[/C][C]129.419674715045[/C][C]3.65443969019917[/C][/ROW]
[ROW][C]0.78[/C][C]130.184992491696[/C][C]3.71333663551847[/C][/ROW]
[ROW][C]0.79[/C][C]130.981625621023[/C][C]3.77198314977371[/C][/ROW]
[ROW][C]0.8[/C][C]131.814546692468[/C][C]3.84558723899504[/C][/ROW]
[ROW][C]0.81[/C][C]132.691849492691[/C][C]3.95016788122902[/C][/ROW]
[ROW][C]0.82[/C][C]133.624497350628[/C][C]4.10039829718426[/C][/ROW]
[ROW][C]0.83[/C][C]134.625302231664[/C][C]4.30537681250689[/C][/ROW]
[ROW][C]0.84[/C][C]135.706978034787[/C][C]4.56377446836549[/C][/ROW]
[ROW][C]0.85[/C][C]136.879269807254[/C][C]4.85943896062814[/C][/ROW]
[ROW][C]0.86[/C][C]138.145467588183[/C][C]5.15829100256954[/C][/ROW]
[ROW][C]0.87[/C][C]139.499063242554[/C][C]5.40983320384637[/C][/ROW]
[ROW][C]0.88[/C][C]140.921807442785[/C][C]5.55478496137516[/C][/ROW]
[ROW][C]0.89[/C][C]142.384761305625[/C][C]5.53874478935236[/C][/ROW]
[ROW][C]0.9[/C][C]143.853780013741[/C][C]5.33103345978109[/C][/ROW]
[ROW][C]0.91[/C][C]145.299795684096[/C][C]4.9439080315214[/C][/ROW]
[ROW][C]0.92[/C][C]146.711914865859[/C][C]4.44859988878691[/C][/ROW]
[ROW][C]0.93[/C][C]148.107757635088[/C][C]3.98049521965259[/C][/ROW]
[ROW][C]0.94[/C][C]149.531846679904[/C][C]3.71269048856027[/C][/ROW]
[ROW][C]0.95[/C][C]151.032506283102[/C][C]3.73902509699203[/C][/ROW]
[ROW][C]0.96[/C][C]152.615893894416[/C][C]3.89681528744129[/C][/ROW]
[ROW][C]0.97[/C][C]154.195796982381[/C][C]3.76602844719756[/C][/ROW]
[ROW][C]0.98[/C][C]155.582068301491[/C][C]2.93525678888974[/C][/ROW]
[ROW][C]0.99[/C][C]156.552545211796[/C][C]1.42906184860695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110576&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110576&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
0.0184.98395063036673.32085339090205
0.0286.59254090797143.75543552743398
0.0388.43850445391953.85858124688739
0.0490.21928116321523.60622665710923
0.0591.79546308638133.25713819171464
0.0693.15532577116773.05620079278199
0.0794.35121553297763.07345654178128
0.0895.44790959187153.22984358471613
0.0996.4937904987633.4115527449904
0.197.51208486436323.5366714244596
0.1198.5045495634053.56549335847034
0.1299.46011051575153.49177255982906
0.13100.3634055303933.33105945192197
0.14101.2008893955143.10988765573246
0.15101.9640792668542.85710736353095
0.16102.6504906676492.59894549664505
0.17103.2630956869972.35661666721015
0.18103.8090443729182.14580446413122
0.19104.2981669946841.976673215987
0.2104.7415572680221.85458585234787
0.21105.1503819991741.77928536251593
0.22105.5349746242261.74591627595408
0.23105.9042267873931.74607928102119
0.24106.2652681624721.77011109641553
0.25106.6234044645781.80890956501983
0.26106.9822633488791.85505817754901
0.27107.3440816801131.90368649460376
0.28107.7100609913731.95189921812529
0.29108.0807233868631.99857324994032
0.3108.4562159634172.04379058677792
0.31108.8365332399552.08799791469063
0.32109.2216485002122.13200216989421
0.33109.611561994052.17616687189115
0.34110.0062844938422.22022204789508
0.35110.4057789154362.26375509102783
0.36110.8098822663382.30551834168208
0.37111.2182272734522.3440777732529
0.38111.6301795010362.37736373670494
0.39112.0448025521762.40344521387044
0.4112.4608610638052.42016526527852
0.41112.8768680159522.4258688322719
0.42113.2911785885282.419535085282
0.43113.7021269720172.40097436845148
0.44114.1081954206982.37112122414921
0.45114.5081974411852.33269102412735
0.46114.9014509099112.28931044471375
0.47115.2879138356512.24564760732063
0.48115.6682568071132.20732317976521
0.49116.0438524865042.17948789409326
0.5116.4166733766212.16648474252973
0.51116.7891029923722.17102529985645
0.52117.163680188012.19346254641223
0.53117.5428090537672.2316576419046
0.54117.9284750285752.28112818307235
0.55118.3220099421742.3360333350907
0.56118.723943973952.38986951459633
0.57119.1339716070772.43645591233647
0.58119.5510432565982.4707107545185
0.59119.9735767441342.48965504764623
0.6120.3997657509872.49260861337336
0.61120.827948086972.48145238904147
0.62121.2569867478492.46058746839901
0.63121.6866123122232.43644340588949
0.64122.1176767214322.41732919322871
0.65122.5522760335862.41183765184652
0.66122.993713267382.42824206276228
0.67123.4462915430072.47300122245189
0.68123.9149512866632.54920515761651
0.69124.4047910509972.6558201695453
0.7124.9205358757112.78791492839237
0.71125.466035280162.93671209511604
0.72126.0438799397263.09160694412983
0.73126.6552181366193.24171301572564
0.74127.2998293569223.3771774396077
0.75127.9764758928983.4916619011223
0.76128.6835103110123.58323980755547
0.77129.4196747150453.65443969019917
0.78130.1849924916963.71333663551847
0.79130.9816256210233.77198314977371
0.8131.8145466924683.84558723899504
0.81132.6918494926913.95016788122902
0.82133.6244973506284.10039829718426
0.83134.6253022316644.30537681250689
0.84135.7069780347874.56377446836549
0.85136.8792698072544.85943896062814
0.86138.1454675881835.15829100256954
0.87139.4990632425545.40983320384637
0.88140.9218074427855.55478496137516
0.89142.3847613056255.53874478935236
0.9143.8537800137415.33103345978109
0.91145.2997956840964.9439080315214
0.92146.7119148658594.44859988878691
0.93148.1077576350883.98049521965259
0.94149.5318466799043.71269048856027
0.95151.0325062831023.73902509699203
0.96152.6158938944163.89681528744129
0.97154.1957969823813.76602844719756
0.98155.5820683014912.93525678888974
0.99156.5525452117961.42906184860695


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')