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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 computationWed, 06 Jan 2016 12:51:23 +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/Jan/06/t1452085068e4mu663u6ut792w.htm/, Retrieved Fri, 03 May 2024 01:18:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=287347, Retrieved Fri, 03 May 2024 01:18:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

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] [] [2016-01-06 12:51:23] [c7db9dbe56b0646da05788291b2eebd0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99,1
98,9
98,8
98,8
99,2
99,6
100,5
100,6
100,7
101
101,3
101,5
102,3
103
102,9
103,5
103,8
103,6
103,4
103,4
103,3
103,2
103,2
103,5
104,5
105,7
106,5
107
106,7
107,1
106,1
106,2
106,5
106,8
107
107,2
107,8
107,9
107,9
108,2
108,9
109,1
109,3
109,8
109,8
109,9
109,9
109,9
108,8
108,5
108,8
108,8
108,8
108,9
108,8
108,4
107,7
107,3
107
107,7

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287347&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287347&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.81132083886950.0366172121198398
0.0298.84100888950880.0974405586207545
0.0398.89462032387680.174265723825788
0.0498.97485760968730.263043740097777
0.0599.08231383438240.361196293528431
0.0699.2160361065480.463162623392789
0.0799.37357645098620.559895937777815
0.0899.55093271308790.641413066860846
0.0999.74284874022250.701126035953089
0.199.94359183099140.738086661777351
0.11100.1479608672330.757168754506804
0.12100.352136075760.766960539025771
0.13100.5540750578490.776456813689713
0.14100.7533740803970.792099637282524
0.15100.9507161277860.81575723723292
0.16101.1471375174620.844934546124669
0.17101.3433493398630.874128711654327
0.18101.5392804160.897130851022173
0.19101.7339111249110.908541471731954
0.2101.9253801102040.904299063393695
0.21102.1112886448430.883350549614305
0.22102.2891042032480.846340709057708
0.23102.4565693039190.79626924453148
0.24102.6120436542830.737559692200009
0.25102.754736840060.675441733940241
0.26102.8848171732830.615760718961128
0.27103.0034046019710.563940109426834
0.28103.1124693872060.525248772608592
0.29103.2146636330730.503951718068529
0.3103.313111592410.503067374378661
0.31103.4111798156170.523798609335136
0.32103.5122425698760.565079183811255
0.33103.6194537300360.624441084809899
0.34103.7355345561460.697750737147865
0.35103.8625872122340.780451459950141
0.36104.0019453853010.866960064360386
0.37104.1540743498050.952028969310296
0.38104.318531870251.03015917374861
0.39104.4939976593941.09613966055593
0.4104.6783728116461.14583416885305
0.41104.8689426660151.17597149890071
0.42105.0625884596591.18522675235318
0.43105.2560266100451.17331068139637
0.44105.4460509166741.14160305263614
0.45105.6297531584111.09278470552114
0.46105.8047014156321.03033754776985
0.47105.9690621306740.95841827774691
0.48106.1216600650050.881237417596145
0.49106.2619783668780.803024173490982
0.5106.390107565720.727185004454666
0.51106.5066565669060.656832008031706
0.52106.6126403477820.594082845143888
0.53106.7093583458270.5402775253216
0.54106.7982751856940.496240427896224
0.55106.8809122827090.46204505163898
0.56106.9587557749140.437079462991547
0.57107.0331836996230.420484938494409
0.58107.1054135280840.410942743254098
0.59107.1764699805090.406959537388747
0.6107.2471721551210.406961056750475
0.61107.3181380896280.409514830966831
0.62107.3898037335550.413468301021306
0.63107.4624519734240.418089843090045
0.64107.5362460839970.422560149052537
0.65107.6112612008740.42675136507554
0.66107.68750756440.430503154698296
0.67107.7649406706570.433786042772938
0.68107.8434561031850.43640126570261
0.69107.9228703862740.438071177746642
0.7108.0028930586090.438341614598605
0.71108.0830984802080.436163738022247
0.72108.1629078127970.430765906905674
0.73108.2415915140460.421138131586292
0.74108.3183003070440.406619973028028
0.75108.3921281718020.386855283716462
0.76108.4622051927990.362046077571107
0.77108.5278121850230.333085704057947
0.78108.5885041208660.301448981668089
0.79108.6442264814540.269172631023069
0.8108.6954081936950.238752922564997
0.81108.7430164491620.213011718282004
0.82108.7885613541150.194982757372234
0.83108.8340406317520.187278988978296
0.84108.8818155963640.191804438368757
0.85108.9344100189980.208521999943871
0.86108.9942263289260.235569218197874
0.87109.063183905890.269479072570425
0.88109.1423068646210.305405599141138
0.89109.2313240101580.337500140404921
0.9109.3283823671190.359156708246589
0.91109.4299974297490.364366460449677
0.92109.5313424703770.349139784055595
0.93109.6269008806970.312902217044815
0.94109.7113839840980.259455841330616
0.95109.7807017380590.196260713597855
0.96109.8327276712620.132574051877866
0.97109.8676514837760.0770220196232407
0.98109.8878280997240.0355229526316786
0.99109.8971427407990.0104130437576073

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.8113208388695 & 0.0366172121198398 \tabularnewline
0.02 & 98.8410088895088 & 0.0974405586207545 \tabularnewline
0.03 & 98.8946203238768 & 0.174265723825788 \tabularnewline
0.04 & 98.9748576096873 & 0.263043740097777 \tabularnewline
0.05 & 99.0823138343824 & 0.361196293528431 \tabularnewline
0.06 & 99.216036106548 & 0.463162623392789 \tabularnewline
0.07 & 99.3735764509862 & 0.559895937777815 \tabularnewline
0.08 & 99.5509327130879 & 0.641413066860846 \tabularnewline
0.09 & 99.7428487402225 & 0.701126035953089 \tabularnewline
0.1 & 99.9435918309914 & 0.738086661777351 \tabularnewline
0.11 & 100.147960867233 & 0.757168754506804 \tabularnewline
0.12 & 100.35213607576 & 0.766960539025771 \tabularnewline
0.13 & 100.554075057849 & 0.776456813689713 \tabularnewline
0.14 & 100.753374080397 & 0.792099637282524 \tabularnewline
0.15 & 100.950716127786 & 0.81575723723292 \tabularnewline
0.16 & 101.147137517462 & 0.844934546124669 \tabularnewline
0.17 & 101.343349339863 & 0.874128711654327 \tabularnewline
0.18 & 101.539280416 & 0.897130851022173 \tabularnewline
0.19 & 101.733911124911 & 0.908541471731954 \tabularnewline
0.2 & 101.925380110204 & 0.904299063393695 \tabularnewline
0.21 & 102.111288644843 & 0.883350549614305 \tabularnewline
0.22 & 102.289104203248 & 0.846340709057708 \tabularnewline
0.23 & 102.456569303919 & 0.79626924453148 \tabularnewline
0.24 & 102.612043654283 & 0.737559692200009 \tabularnewline
0.25 & 102.75473684006 & 0.675441733940241 \tabularnewline
0.26 & 102.884817173283 & 0.615760718961128 \tabularnewline
0.27 & 103.003404601971 & 0.563940109426834 \tabularnewline
0.28 & 103.112469387206 & 0.525248772608592 \tabularnewline
0.29 & 103.214663633073 & 0.503951718068529 \tabularnewline
0.3 & 103.31311159241 & 0.503067374378661 \tabularnewline
0.31 & 103.411179815617 & 0.523798609335136 \tabularnewline
0.32 & 103.512242569876 & 0.565079183811255 \tabularnewline
0.33 & 103.619453730036 & 0.624441084809899 \tabularnewline
0.34 & 103.735534556146 & 0.697750737147865 \tabularnewline
0.35 & 103.862587212234 & 0.780451459950141 \tabularnewline
0.36 & 104.001945385301 & 0.866960064360386 \tabularnewline
0.37 & 104.154074349805 & 0.952028969310296 \tabularnewline
0.38 & 104.31853187025 & 1.03015917374861 \tabularnewline
0.39 & 104.493997659394 & 1.09613966055593 \tabularnewline
0.4 & 104.678372811646 & 1.14583416885305 \tabularnewline
0.41 & 104.868942666015 & 1.17597149890071 \tabularnewline
0.42 & 105.062588459659 & 1.18522675235318 \tabularnewline
0.43 & 105.256026610045 & 1.17331068139637 \tabularnewline
0.44 & 105.446050916674 & 1.14160305263614 \tabularnewline
0.45 & 105.629753158411 & 1.09278470552114 \tabularnewline
0.46 & 105.804701415632 & 1.03033754776985 \tabularnewline
0.47 & 105.969062130674 & 0.95841827774691 \tabularnewline
0.48 & 106.121660065005 & 0.881237417596145 \tabularnewline
0.49 & 106.261978366878 & 0.803024173490982 \tabularnewline
0.5 & 106.39010756572 & 0.727185004454666 \tabularnewline
0.51 & 106.506656566906 & 0.656832008031706 \tabularnewline
0.52 & 106.612640347782 & 0.594082845143888 \tabularnewline
0.53 & 106.709358345827 & 0.5402775253216 \tabularnewline
0.54 & 106.798275185694 & 0.496240427896224 \tabularnewline
0.55 & 106.880912282709 & 0.46204505163898 \tabularnewline
0.56 & 106.958755774914 & 0.437079462991547 \tabularnewline
0.57 & 107.033183699623 & 0.420484938494409 \tabularnewline
0.58 & 107.105413528084 & 0.410942743254098 \tabularnewline
0.59 & 107.176469980509 & 0.406959537388747 \tabularnewline
0.6 & 107.247172155121 & 0.406961056750475 \tabularnewline
0.61 & 107.318138089628 & 0.409514830966831 \tabularnewline
0.62 & 107.389803733555 & 0.413468301021306 \tabularnewline
0.63 & 107.462451973424 & 0.418089843090045 \tabularnewline
0.64 & 107.536246083997 & 0.422560149052537 \tabularnewline
0.65 & 107.611261200874 & 0.42675136507554 \tabularnewline
0.66 & 107.6875075644 & 0.430503154698296 \tabularnewline
0.67 & 107.764940670657 & 0.433786042772938 \tabularnewline
0.68 & 107.843456103185 & 0.43640126570261 \tabularnewline
0.69 & 107.922870386274 & 0.438071177746642 \tabularnewline
0.7 & 108.002893058609 & 0.438341614598605 \tabularnewline
0.71 & 108.083098480208 & 0.436163738022247 \tabularnewline
0.72 & 108.162907812797 & 0.430765906905674 \tabularnewline
0.73 & 108.241591514046 & 0.421138131586292 \tabularnewline
0.74 & 108.318300307044 & 0.406619973028028 \tabularnewline
0.75 & 108.392128171802 & 0.386855283716462 \tabularnewline
0.76 & 108.462205192799 & 0.362046077571107 \tabularnewline
0.77 & 108.527812185023 & 0.333085704057947 \tabularnewline
0.78 & 108.588504120866 & 0.301448981668089 \tabularnewline
0.79 & 108.644226481454 & 0.269172631023069 \tabularnewline
0.8 & 108.695408193695 & 0.238752922564997 \tabularnewline
0.81 & 108.743016449162 & 0.213011718282004 \tabularnewline
0.82 & 108.788561354115 & 0.194982757372234 \tabularnewline
0.83 & 108.834040631752 & 0.187278988978296 \tabularnewline
0.84 & 108.881815596364 & 0.191804438368757 \tabularnewline
0.85 & 108.934410018998 & 0.208521999943871 \tabularnewline
0.86 & 108.994226328926 & 0.235569218197874 \tabularnewline
0.87 & 109.06318390589 & 0.269479072570425 \tabularnewline
0.88 & 109.142306864621 & 0.305405599141138 \tabularnewline
0.89 & 109.231324010158 & 0.337500140404921 \tabularnewline
0.9 & 109.328382367119 & 0.359156708246589 \tabularnewline
0.91 & 109.429997429749 & 0.364366460449677 \tabularnewline
0.92 & 109.531342470377 & 0.349139784055595 \tabularnewline
0.93 & 109.626900880697 & 0.312902217044815 \tabularnewline
0.94 & 109.711383984098 & 0.259455841330616 \tabularnewline
0.95 & 109.780701738059 & 0.196260713597855 \tabularnewline
0.96 & 109.832727671262 & 0.132574051877866 \tabularnewline
0.97 & 109.867651483776 & 0.0770220196232407 \tabularnewline
0.98 & 109.887828099724 & 0.0355229526316786 \tabularnewline
0.99 & 109.897142740799 & 0.0104130437576073 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287347&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]98.8113208388695[/C][C]0.0366172121198398[/C][/ROW]
[ROW][C]0.02[/C][C]98.8410088895088[/C][C]0.0974405586207545[/C][/ROW]
[ROW][C]0.03[/C][C]98.8946203238768[/C][C]0.174265723825788[/C][/ROW]
[ROW][C]0.04[/C][C]98.9748576096873[/C][C]0.263043740097777[/C][/ROW]
[ROW][C]0.05[/C][C]99.0823138343824[/C][C]0.361196293528431[/C][/ROW]
[ROW][C]0.06[/C][C]99.216036106548[/C][C]0.463162623392789[/C][/ROW]
[ROW][C]0.07[/C][C]99.3735764509862[/C][C]0.559895937777815[/C][/ROW]
[ROW][C]0.08[/C][C]99.5509327130879[/C][C]0.641413066860846[/C][/ROW]
[ROW][C]0.09[/C][C]99.7428487402225[/C][C]0.701126035953089[/C][/ROW]
[ROW][C]0.1[/C][C]99.9435918309914[/C][C]0.738086661777351[/C][/ROW]
[ROW][C]0.11[/C][C]100.147960867233[/C][C]0.757168754506804[/C][/ROW]
[ROW][C]0.12[/C][C]100.35213607576[/C][C]0.766960539025771[/C][/ROW]
[ROW][C]0.13[/C][C]100.554075057849[/C][C]0.776456813689713[/C][/ROW]
[ROW][C]0.14[/C][C]100.753374080397[/C][C]0.792099637282524[/C][/ROW]
[ROW][C]0.15[/C][C]100.950716127786[/C][C]0.81575723723292[/C][/ROW]
[ROW][C]0.16[/C][C]101.147137517462[/C][C]0.844934546124669[/C][/ROW]
[ROW][C]0.17[/C][C]101.343349339863[/C][C]0.874128711654327[/C][/ROW]
[ROW][C]0.18[/C][C]101.539280416[/C][C]0.897130851022173[/C][/ROW]
[ROW][C]0.19[/C][C]101.733911124911[/C][C]0.908541471731954[/C][/ROW]
[ROW][C]0.2[/C][C]101.925380110204[/C][C]0.904299063393695[/C][/ROW]
[ROW][C]0.21[/C][C]102.111288644843[/C][C]0.883350549614305[/C][/ROW]
[ROW][C]0.22[/C][C]102.289104203248[/C][C]0.846340709057708[/C][/ROW]
[ROW][C]0.23[/C][C]102.456569303919[/C][C]0.79626924453148[/C][/ROW]
[ROW][C]0.24[/C][C]102.612043654283[/C][C]0.737559692200009[/C][/ROW]
[ROW][C]0.25[/C][C]102.75473684006[/C][C]0.675441733940241[/C][/ROW]
[ROW][C]0.26[/C][C]102.884817173283[/C][C]0.615760718961128[/C][/ROW]
[ROW][C]0.27[/C][C]103.003404601971[/C][C]0.563940109426834[/C][/ROW]
[ROW][C]0.28[/C][C]103.112469387206[/C][C]0.525248772608592[/C][/ROW]
[ROW][C]0.29[/C][C]103.214663633073[/C][C]0.503951718068529[/C][/ROW]
[ROW][C]0.3[/C][C]103.31311159241[/C][C]0.503067374378661[/C][/ROW]
[ROW][C]0.31[/C][C]103.411179815617[/C][C]0.523798609335136[/C][/ROW]
[ROW][C]0.32[/C][C]103.512242569876[/C][C]0.565079183811255[/C][/ROW]
[ROW][C]0.33[/C][C]103.619453730036[/C][C]0.624441084809899[/C][/ROW]
[ROW][C]0.34[/C][C]103.735534556146[/C][C]0.697750737147865[/C][/ROW]
[ROW][C]0.35[/C][C]103.862587212234[/C][C]0.780451459950141[/C][/ROW]
[ROW][C]0.36[/C][C]104.001945385301[/C][C]0.866960064360386[/C][/ROW]
[ROW][C]0.37[/C][C]104.154074349805[/C][C]0.952028969310296[/C][/ROW]
[ROW][C]0.38[/C][C]104.31853187025[/C][C]1.03015917374861[/C][/ROW]
[ROW][C]0.39[/C][C]104.493997659394[/C][C]1.09613966055593[/C][/ROW]
[ROW][C]0.4[/C][C]104.678372811646[/C][C]1.14583416885305[/C][/ROW]
[ROW][C]0.41[/C][C]104.868942666015[/C][C]1.17597149890071[/C][/ROW]
[ROW][C]0.42[/C][C]105.062588459659[/C][C]1.18522675235318[/C][/ROW]
[ROW][C]0.43[/C][C]105.256026610045[/C][C]1.17331068139637[/C][/ROW]
[ROW][C]0.44[/C][C]105.446050916674[/C][C]1.14160305263614[/C][/ROW]
[ROW][C]0.45[/C][C]105.629753158411[/C][C]1.09278470552114[/C][/ROW]
[ROW][C]0.46[/C][C]105.804701415632[/C][C]1.03033754776985[/C][/ROW]
[ROW][C]0.47[/C][C]105.969062130674[/C][C]0.95841827774691[/C][/ROW]
[ROW][C]0.48[/C][C]106.121660065005[/C][C]0.881237417596145[/C][/ROW]
[ROW][C]0.49[/C][C]106.261978366878[/C][C]0.803024173490982[/C][/ROW]
[ROW][C]0.5[/C][C]106.39010756572[/C][C]0.727185004454666[/C][/ROW]
[ROW][C]0.51[/C][C]106.506656566906[/C][C]0.656832008031706[/C][/ROW]
[ROW][C]0.52[/C][C]106.612640347782[/C][C]0.594082845143888[/C][/ROW]
[ROW][C]0.53[/C][C]106.709358345827[/C][C]0.5402775253216[/C][/ROW]
[ROW][C]0.54[/C][C]106.798275185694[/C][C]0.496240427896224[/C][/ROW]
[ROW][C]0.55[/C][C]106.880912282709[/C][C]0.46204505163898[/C][/ROW]
[ROW][C]0.56[/C][C]106.958755774914[/C][C]0.437079462991547[/C][/ROW]
[ROW][C]0.57[/C][C]107.033183699623[/C][C]0.420484938494409[/C][/ROW]
[ROW][C]0.58[/C][C]107.105413528084[/C][C]0.410942743254098[/C][/ROW]
[ROW][C]0.59[/C][C]107.176469980509[/C][C]0.406959537388747[/C][/ROW]
[ROW][C]0.6[/C][C]107.247172155121[/C][C]0.406961056750475[/C][/ROW]
[ROW][C]0.61[/C][C]107.318138089628[/C][C]0.409514830966831[/C][/ROW]
[ROW][C]0.62[/C][C]107.389803733555[/C][C]0.413468301021306[/C][/ROW]
[ROW][C]0.63[/C][C]107.462451973424[/C][C]0.418089843090045[/C][/ROW]
[ROW][C]0.64[/C][C]107.536246083997[/C][C]0.422560149052537[/C][/ROW]
[ROW][C]0.65[/C][C]107.611261200874[/C][C]0.42675136507554[/C][/ROW]
[ROW][C]0.66[/C][C]107.6875075644[/C][C]0.430503154698296[/C][/ROW]
[ROW][C]0.67[/C][C]107.764940670657[/C][C]0.433786042772938[/C][/ROW]
[ROW][C]0.68[/C][C]107.843456103185[/C][C]0.43640126570261[/C][/ROW]
[ROW][C]0.69[/C][C]107.922870386274[/C][C]0.438071177746642[/C][/ROW]
[ROW][C]0.7[/C][C]108.002893058609[/C][C]0.438341614598605[/C][/ROW]
[ROW][C]0.71[/C][C]108.083098480208[/C][C]0.436163738022247[/C][/ROW]
[ROW][C]0.72[/C][C]108.162907812797[/C][C]0.430765906905674[/C][/ROW]
[ROW][C]0.73[/C][C]108.241591514046[/C][C]0.421138131586292[/C][/ROW]
[ROW][C]0.74[/C][C]108.318300307044[/C][C]0.406619973028028[/C][/ROW]
[ROW][C]0.75[/C][C]108.392128171802[/C][C]0.386855283716462[/C][/ROW]
[ROW][C]0.76[/C][C]108.462205192799[/C][C]0.362046077571107[/C][/ROW]
[ROW][C]0.77[/C][C]108.527812185023[/C][C]0.333085704057947[/C][/ROW]
[ROW][C]0.78[/C][C]108.588504120866[/C][C]0.301448981668089[/C][/ROW]
[ROW][C]0.79[/C][C]108.644226481454[/C][C]0.269172631023069[/C][/ROW]
[ROW][C]0.8[/C][C]108.695408193695[/C][C]0.238752922564997[/C][/ROW]
[ROW][C]0.81[/C][C]108.743016449162[/C][C]0.213011718282004[/C][/ROW]
[ROW][C]0.82[/C][C]108.788561354115[/C][C]0.194982757372234[/C][/ROW]
[ROW][C]0.83[/C][C]108.834040631752[/C][C]0.187278988978296[/C][/ROW]
[ROW][C]0.84[/C][C]108.881815596364[/C][C]0.191804438368757[/C][/ROW]
[ROW][C]0.85[/C][C]108.934410018998[/C][C]0.208521999943871[/C][/ROW]
[ROW][C]0.86[/C][C]108.994226328926[/C][C]0.235569218197874[/C][/ROW]
[ROW][C]0.87[/C][C]109.06318390589[/C][C]0.269479072570425[/C][/ROW]
[ROW][C]0.88[/C][C]109.142306864621[/C][C]0.305405599141138[/C][/ROW]
[ROW][C]0.89[/C][C]109.231324010158[/C][C]0.337500140404921[/C][/ROW]
[ROW][C]0.9[/C][C]109.328382367119[/C][C]0.359156708246589[/C][/ROW]
[ROW][C]0.91[/C][C]109.429997429749[/C][C]0.364366460449677[/C][/ROW]
[ROW][C]0.92[/C][C]109.531342470377[/C][C]0.349139784055595[/C][/ROW]
[ROW][C]0.93[/C][C]109.626900880697[/C][C]0.312902217044815[/C][/ROW]
[ROW][C]0.94[/C][C]109.711383984098[/C][C]0.259455841330616[/C][/ROW]
[ROW][C]0.95[/C][C]109.780701738059[/C][C]0.196260713597855[/C][/ROW]
[ROW][C]0.96[/C][C]109.832727671262[/C][C]0.132574051877866[/C][/ROW]
[ROW][C]0.97[/C][C]109.867651483776[/C][C]0.0770220196232407[/C][/ROW]
[ROW][C]0.98[/C][C]109.887828099724[/C][C]0.0355229526316786[/C][/ROW]
[ROW][C]0.99[/C][C]109.897142740799[/C][C]0.0104130437576073[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287347&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
0.0198.81132083886950.0366172121198398
0.0298.84100888950880.0974405586207545
0.0398.89462032387680.174265723825788
0.0498.97485760968730.263043740097777
0.0599.08231383438240.361196293528431
0.0699.2160361065480.463162623392789
0.0799.37357645098620.559895937777815
0.0899.55093271308790.641413066860846
0.0999.74284874022250.701126035953089
0.199.94359183099140.738086661777351
0.11100.1479608672330.757168754506804
0.12100.352136075760.766960539025771
0.13100.5540750578490.776456813689713
0.14100.7533740803970.792099637282524
0.15100.9507161277860.81575723723292
0.16101.1471375174620.844934546124669
0.17101.3433493398630.874128711654327
0.18101.5392804160.897130851022173
0.19101.7339111249110.908541471731954
0.2101.9253801102040.904299063393695
0.21102.1112886448430.883350549614305
0.22102.2891042032480.846340709057708
0.23102.4565693039190.79626924453148
0.24102.6120436542830.737559692200009
0.25102.754736840060.675441733940241
0.26102.8848171732830.615760718961128
0.27103.0034046019710.563940109426834
0.28103.1124693872060.525248772608592
0.29103.2146636330730.503951718068529
0.3103.313111592410.503067374378661
0.31103.4111798156170.523798609335136
0.32103.5122425698760.565079183811255
0.33103.6194537300360.624441084809899
0.34103.7355345561460.697750737147865
0.35103.8625872122340.780451459950141
0.36104.0019453853010.866960064360386
0.37104.1540743498050.952028969310296
0.38104.318531870251.03015917374861
0.39104.4939976593941.09613966055593
0.4104.6783728116461.14583416885305
0.41104.8689426660151.17597149890071
0.42105.0625884596591.18522675235318
0.43105.2560266100451.17331068139637
0.44105.4460509166741.14160305263614
0.45105.6297531584111.09278470552114
0.46105.8047014156321.03033754776985
0.47105.9690621306740.95841827774691
0.48106.1216600650050.881237417596145
0.49106.2619783668780.803024173490982
0.5106.390107565720.727185004454666
0.51106.5066565669060.656832008031706
0.52106.6126403477820.594082845143888
0.53106.7093583458270.5402775253216
0.54106.7982751856940.496240427896224
0.55106.8809122827090.46204505163898
0.56106.9587557749140.437079462991547
0.57107.0331836996230.420484938494409
0.58107.1054135280840.410942743254098
0.59107.1764699805090.406959537388747
0.6107.2471721551210.406961056750475
0.61107.3181380896280.409514830966831
0.62107.3898037335550.413468301021306
0.63107.4624519734240.418089843090045
0.64107.5362460839970.422560149052537
0.65107.6112612008740.42675136507554
0.66107.68750756440.430503154698296
0.67107.7649406706570.433786042772938
0.68107.8434561031850.43640126570261
0.69107.9228703862740.438071177746642
0.7108.0028930586090.438341614598605
0.71108.0830984802080.436163738022247
0.72108.1629078127970.430765906905674
0.73108.2415915140460.421138131586292
0.74108.3183003070440.406619973028028
0.75108.3921281718020.386855283716462
0.76108.4622051927990.362046077571107
0.77108.5278121850230.333085704057947
0.78108.5885041208660.301448981668089
0.79108.6442264814540.269172631023069
0.8108.6954081936950.238752922564997
0.81108.7430164491620.213011718282004
0.82108.7885613541150.194982757372234
0.83108.8340406317520.187278988978296
0.84108.8818155963640.191804438368757
0.85108.9344100189980.208521999943871
0.86108.9942263289260.235569218197874
0.87109.063183905890.269479072570425
0.88109.1423068646210.305405599141138
0.89109.2313240101580.337500140404921
0.9109.3283823671190.359156708246589
0.91109.4299974297490.364366460449677
0.92109.5313424703770.349139784055595
0.93109.6269008806970.312902217044815
0.94109.7113839840980.259455841330616
0.95109.7807017380590.196260713597855
0.96109.8327276712620.132574051877866
0.97109.8676514837760.0770220196232407
0.98109.8878280997240.0355229526316786
0.99109.8971427407990.0104130437576073


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')