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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Nov 2007 10:17:02 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/10/t1194714802t39j6dy37m8g71w.htm/, Retrieved Tue, 30 Apr 2024 01:19:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5057, Retrieved Tue, 30 Apr 2024 01:19:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsIntermediaire goederen
Estimated Impact163

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] [Paper Harell – Da...] [2007-11-10 17:17:02] [d06427f3e67cec1f6334fc93f511b0b4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,6
96,1
110
108,2
106,9
117,2
105,2
106,3
95,9
107,5
113
111,4
95,5
90,3
110,8
107,1
101,4
112,9
98,5
100,1
93,4
104,4
101,8
107,9
91,3
86,6
111,4
98,4
102,2
103
95,8
96
95,7
106,4
112
116,2
93,9
100,5
112,5
101,2
107,8
114,3
99,6
98,6
93,6
99,6
113,1
110,7
88,1
93,1
107,4
99,5
105,6
108,3
99,2
99,3
107,1
106,9
115,4
99
100,1
96,2
96,9
96,2
91
99
99
107,2
110,8
111,1
104,6
94,3
90,7
88,8
90,9
90,5
95,5
103,1
100,6
103,1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5057&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 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=5057&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5057&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0187.1404856898371.31266587749171
0.0287.93174383695721.19685949915837
0.0388.70408350486631.14983193593540
0.0489.35887423985441.06251108141877
0.0589.89081680891150.933600964759033
0.0690.32419808762130.838520623912638
0.0790.69408535564570.838471586037682
0.0891.03727688631910.932148239431054
0.0991.383019806541.07412777115848
0.191.74733721922131.21620774123146
0.1192.13295630046361.32566033105997
0.1292.53316348403851.38747293508879
0.1392.9368465935521.40197730623849
0.1493.33267333783431.37859597698535
0.1593.71152736854531.32896733486453
0.1694.06730546954831.26280569659804
0.1794.39670709248831.18657450119554
0.1894.6987040399731.10525642343415
0.1994.97412416898761.02476687742366
0.295.2254494023670.952744334312235
0.2195.45669614410550.897927182214293
0.2295.67318280138960.868736866064987
0.2395.88106089638180.87002878068448
0.2496.08661384077280.901540515845365
0.2596.29543857336620.956905272804843
0.2696.51168079859811.02551781472374
0.2796.73748864671631.09564591476671
0.2896.9727970494811.15533957703063
0.2997.21547856436161.19574842701280
0.397.46181796133981.21066407961784
0.3197.70720559784161.19839417835822
0.3297.94691041359551.16074962324159
0.3398.176791952031.10319783629681
0.3498.39383905008551.03308054956006
0.3598.59647094285220.958680264844318
0.3698.78459095359590.887829465624187
0.3798.95943033990360.827339543648671
0.3899.12325070489940.781953456319635
0.3999.27898392150830.754099242288333
0.499.42988073899820.744088708270378
0.4199.57921908694050.751033826327964
0.4299.7300979738860.773173509878208
0.4399.8853194259120.808050904674907
0.44100.0473435775820.85389311353457
0.45100.2182926911200.909091597325605
0.46100.3999781925640.972369221964231
0.47100.5939289430361.04223879267713
0.48100.8014063838761.11752286133517
0.49101.0234003664411.19685325430686
0.5101.2606063528001.27870793280718
0.51101.5133890271691.36091625045958
0.52101.7817389325051.44149501990428
0.53102.0652281806531.51822291972053
0.54102.3629698101251.58854703579504
0.55102.6735843299651.64983636018244
0.56102.9951773284811.69971118681772
0.57103.3253338803361.73528811633891
0.58103.6611380974491.75434831450153
0.59103.9992281362921.75433796783208
0.6104.3358967750551.73424209316319
0.61104.6672442773561.69311418382610
0.62104.9893835931951.63121293588398
0.63105.2986890534431.55088308891634
0.64105.5920705120771.45524112701955
0.65105.8672476282141.34871922469074
0.66106.1229955144991.23733803494028
0.67106.3593341111651.12745782994761
0.68106.5776387333771.02623477695566
0.69106.7806562826140.940521444453034
0.7106.9724179356810.876948115771859
0.71107.1580426125340.841102811596309
0.72107.3434260890160.836639540823705
0.73107.5348112508550.86419324868687
0.74107.7382415161560.921037236481581
0.75107.9589183836501.00070021903217
0.76108.2005185109391.09358379403453
0.77108.4645708918371.18772488345211
0.78108.7500354160791.27005441527675
0.79109.0532372386551.32796260662285
0.8109.3682743781731.35208103763669
0.81109.6879192517001.33801967058837
0.82110.0048928902011.28787108224469
0.83110.3132445494581.21045758179692
0.84110.6094777634201.11950791557917
0.85110.8930824441601.03047289600734
0.86111.1662916673930.956412379457703
0.87111.4331668646210.903992081056548
0.88111.6984543081620.8713097935901
0.89111.9669121978720.851211195293643
0.9112.2437871662180.837780800758663
0.91112.5366266117590.833941337734234
0.92112.8576082032670.855001018655723
0.93113.2244182592640.920700029194651
0.94113.6573835320271.03302018963198
0.95114.1723090151101.15754675010774
0.96114.7722962332811.23169106344016
0.97115.4433086239001.20192992330986
0.98116.1479095446661.08025948723944
0.99116.7942516013310.981322652081042

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87.140485689837 & 1.31266587749171 \tabularnewline
0.02 & 87.9317438369572 & 1.19685949915837 \tabularnewline
0.03 & 88.7040835048663 & 1.14983193593540 \tabularnewline
0.04 & 89.3588742398544 & 1.06251108141877 \tabularnewline
0.05 & 89.8908168089115 & 0.933600964759033 \tabularnewline
0.06 & 90.3241980876213 & 0.838520623912638 \tabularnewline
0.07 & 90.6940853556457 & 0.838471586037682 \tabularnewline
0.08 & 91.0372768863191 & 0.932148239431054 \tabularnewline
0.09 & 91.38301980654 & 1.07412777115848 \tabularnewline
0.1 & 91.7473372192213 & 1.21620774123146 \tabularnewline
0.11 & 92.1329563004636 & 1.32566033105997 \tabularnewline
0.12 & 92.5331634840385 & 1.38747293508879 \tabularnewline
0.13 & 92.936846593552 & 1.40197730623849 \tabularnewline
0.14 & 93.3326733378343 & 1.37859597698535 \tabularnewline
0.15 & 93.7115273685453 & 1.32896733486453 \tabularnewline
0.16 & 94.0673054695483 & 1.26280569659804 \tabularnewline
0.17 & 94.3967070924883 & 1.18657450119554 \tabularnewline
0.18 & 94.698704039973 & 1.10525642343415 \tabularnewline
0.19 & 94.9741241689876 & 1.02476687742366 \tabularnewline
0.2 & 95.225449402367 & 0.952744334312235 \tabularnewline
0.21 & 95.4566961441055 & 0.897927182214293 \tabularnewline
0.22 & 95.6731828013896 & 0.868736866064987 \tabularnewline
0.23 & 95.8810608963818 & 0.87002878068448 \tabularnewline
0.24 & 96.0866138407728 & 0.901540515845365 \tabularnewline
0.25 & 96.2954385733662 & 0.956905272804843 \tabularnewline
0.26 & 96.5116807985981 & 1.02551781472374 \tabularnewline
0.27 & 96.7374886467163 & 1.09564591476671 \tabularnewline
0.28 & 96.972797049481 & 1.15533957703063 \tabularnewline
0.29 & 97.2154785643616 & 1.19574842701280 \tabularnewline
0.3 & 97.4618179613398 & 1.21066407961784 \tabularnewline
0.31 & 97.7072055978416 & 1.19839417835822 \tabularnewline
0.32 & 97.9469104135955 & 1.16074962324159 \tabularnewline
0.33 & 98.17679195203 & 1.10319783629681 \tabularnewline
0.34 & 98.3938390500855 & 1.03308054956006 \tabularnewline
0.35 & 98.5964709428522 & 0.958680264844318 \tabularnewline
0.36 & 98.7845909535959 & 0.887829465624187 \tabularnewline
0.37 & 98.9594303399036 & 0.827339543648671 \tabularnewline
0.38 & 99.1232507048994 & 0.781953456319635 \tabularnewline
0.39 & 99.2789839215083 & 0.754099242288333 \tabularnewline
0.4 & 99.4298807389982 & 0.744088708270378 \tabularnewline
0.41 & 99.5792190869405 & 0.751033826327964 \tabularnewline
0.42 & 99.730097973886 & 0.773173509878208 \tabularnewline
0.43 & 99.885319425912 & 0.808050904674907 \tabularnewline
0.44 & 100.047343577582 & 0.85389311353457 \tabularnewline
0.45 & 100.218292691120 & 0.909091597325605 \tabularnewline
0.46 & 100.399978192564 & 0.972369221964231 \tabularnewline
0.47 & 100.593928943036 & 1.04223879267713 \tabularnewline
0.48 & 100.801406383876 & 1.11752286133517 \tabularnewline
0.49 & 101.023400366441 & 1.19685325430686 \tabularnewline
0.5 & 101.260606352800 & 1.27870793280718 \tabularnewline
0.51 & 101.513389027169 & 1.36091625045958 \tabularnewline
0.52 & 101.781738932505 & 1.44149501990428 \tabularnewline
0.53 & 102.065228180653 & 1.51822291972053 \tabularnewline
0.54 & 102.362969810125 & 1.58854703579504 \tabularnewline
0.55 & 102.673584329965 & 1.64983636018244 \tabularnewline
0.56 & 102.995177328481 & 1.69971118681772 \tabularnewline
0.57 & 103.325333880336 & 1.73528811633891 \tabularnewline
0.58 & 103.661138097449 & 1.75434831450153 \tabularnewline
0.59 & 103.999228136292 & 1.75433796783208 \tabularnewline
0.6 & 104.335896775055 & 1.73424209316319 \tabularnewline
0.61 & 104.667244277356 & 1.69311418382610 \tabularnewline
0.62 & 104.989383593195 & 1.63121293588398 \tabularnewline
0.63 & 105.298689053443 & 1.55088308891634 \tabularnewline
0.64 & 105.592070512077 & 1.45524112701955 \tabularnewline
0.65 & 105.867247628214 & 1.34871922469074 \tabularnewline
0.66 & 106.122995514499 & 1.23733803494028 \tabularnewline
0.67 & 106.359334111165 & 1.12745782994761 \tabularnewline
0.68 & 106.577638733377 & 1.02623477695566 \tabularnewline
0.69 & 106.780656282614 & 0.940521444453034 \tabularnewline
0.7 & 106.972417935681 & 0.876948115771859 \tabularnewline
0.71 & 107.158042612534 & 0.841102811596309 \tabularnewline
0.72 & 107.343426089016 & 0.836639540823705 \tabularnewline
0.73 & 107.534811250855 & 0.86419324868687 \tabularnewline
0.74 & 107.738241516156 & 0.921037236481581 \tabularnewline
0.75 & 107.958918383650 & 1.00070021903217 \tabularnewline
0.76 & 108.200518510939 & 1.09358379403453 \tabularnewline
0.77 & 108.464570891837 & 1.18772488345211 \tabularnewline
0.78 & 108.750035416079 & 1.27005441527675 \tabularnewline
0.79 & 109.053237238655 & 1.32796260662285 \tabularnewline
0.8 & 109.368274378173 & 1.35208103763669 \tabularnewline
0.81 & 109.687919251700 & 1.33801967058837 \tabularnewline
0.82 & 110.004892890201 & 1.28787108224469 \tabularnewline
0.83 & 110.313244549458 & 1.21045758179692 \tabularnewline
0.84 & 110.609477763420 & 1.11950791557917 \tabularnewline
0.85 & 110.893082444160 & 1.03047289600734 \tabularnewline
0.86 & 111.166291667393 & 0.956412379457703 \tabularnewline
0.87 & 111.433166864621 & 0.903992081056548 \tabularnewline
0.88 & 111.698454308162 & 0.8713097935901 \tabularnewline
0.89 & 111.966912197872 & 0.851211195293643 \tabularnewline
0.9 & 112.243787166218 & 0.837780800758663 \tabularnewline
0.91 & 112.536626611759 & 0.833941337734234 \tabularnewline
0.92 & 112.857608203267 & 0.855001018655723 \tabularnewline
0.93 & 113.224418259264 & 0.920700029194651 \tabularnewline
0.94 & 113.657383532027 & 1.03302018963198 \tabularnewline
0.95 & 114.172309015110 & 1.15754675010774 \tabularnewline
0.96 & 114.772296233281 & 1.23169106344016 \tabularnewline
0.97 & 115.443308623900 & 1.20192992330986 \tabularnewline
0.98 & 116.147909544666 & 1.08025948723944 \tabularnewline
0.99 & 116.794251601331 & 0.981322652081042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5057&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]87.140485689837[/C][C]1.31266587749171[/C][/ROW]
[ROW][C]0.02[/C][C]87.9317438369572[/C][C]1.19685949915837[/C][/ROW]
[ROW][C]0.03[/C][C]88.7040835048663[/C][C]1.14983193593540[/C][/ROW]
[ROW][C]0.04[/C][C]89.3588742398544[/C][C]1.06251108141877[/C][/ROW]
[ROW][C]0.05[/C][C]89.8908168089115[/C][C]0.933600964759033[/C][/ROW]
[ROW][C]0.06[/C][C]90.3241980876213[/C][C]0.838520623912638[/C][/ROW]
[ROW][C]0.07[/C][C]90.6940853556457[/C][C]0.838471586037682[/C][/ROW]
[ROW][C]0.08[/C][C]91.0372768863191[/C][C]0.932148239431054[/C][/ROW]
[ROW][C]0.09[/C][C]91.38301980654[/C][C]1.07412777115848[/C][/ROW]
[ROW][C]0.1[/C][C]91.7473372192213[/C][C]1.21620774123146[/C][/ROW]
[ROW][C]0.11[/C][C]92.1329563004636[/C][C]1.32566033105997[/C][/ROW]
[ROW][C]0.12[/C][C]92.5331634840385[/C][C]1.38747293508879[/C][/ROW]
[ROW][C]0.13[/C][C]92.936846593552[/C][C]1.40197730623849[/C][/ROW]
[ROW][C]0.14[/C][C]93.3326733378343[/C][C]1.37859597698535[/C][/ROW]
[ROW][C]0.15[/C][C]93.7115273685453[/C][C]1.32896733486453[/C][/ROW]
[ROW][C]0.16[/C][C]94.0673054695483[/C][C]1.26280569659804[/C][/ROW]
[ROW][C]0.17[/C][C]94.3967070924883[/C][C]1.18657450119554[/C][/ROW]
[ROW][C]0.18[/C][C]94.698704039973[/C][C]1.10525642343415[/C][/ROW]
[ROW][C]0.19[/C][C]94.9741241689876[/C][C]1.02476687742366[/C][/ROW]
[ROW][C]0.2[/C][C]95.225449402367[/C][C]0.952744334312235[/C][/ROW]
[ROW][C]0.21[/C][C]95.4566961441055[/C][C]0.897927182214293[/C][/ROW]
[ROW][C]0.22[/C][C]95.6731828013896[/C][C]0.868736866064987[/C][/ROW]
[ROW][C]0.23[/C][C]95.8810608963818[/C][C]0.87002878068448[/C][/ROW]
[ROW][C]0.24[/C][C]96.0866138407728[/C][C]0.901540515845365[/C][/ROW]
[ROW][C]0.25[/C][C]96.2954385733662[/C][C]0.956905272804843[/C][/ROW]
[ROW][C]0.26[/C][C]96.5116807985981[/C][C]1.02551781472374[/C][/ROW]
[ROW][C]0.27[/C][C]96.7374886467163[/C][C]1.09564591476671[/C][/ROW]
[ROW][C]0.28[/C][C]96.972797049481[/C][C]1.15533957703063[/C][/ROW]
[ROW][C]0.29[/C][C]97.2154785643616[/C][C]1.19574842701280[/C][/ROW]
[ROW][C]0.3[/C][C]97.4618179613398[/C][C]1.21066407961784[/C][/ROW]
[ROW][C]0.31[/C][C]97.7072055978416[/C][C]1.19839417835822[/C][/ROW]
[ROW][C]0.32[/C][C]97.9469104135955[/C][C]1.16074962324159[/C][/ROW]
[ROW][C]0.33[/C][C]98.17679195203[/C][C]1.10319783629681[/C][/ROW]
[ROW][C]0.34[/C][C]98.3938390500855[/C][C]1.03308054956006[/C][/ROW]
[ROW][C]0.35[/C][C]98.5964709428522[/C][C]0.958680264844318[/C][/ROW]
[ROW][C]0.36[/C][C]98.7845909535959[/C][C]0.887829465624187[/C][/ROW]
[ROW][C]0.37[/C][C]98.9594303399036[/C][C]0.827339543648671[/C][/ROW]
[ROW][C]0.38[/C][C]99.1232507048994[/C][C]0.781953456319635[/C][/ROW]
[ROW][C]0.39[/C][C]99.2789839215083[/C][C]0.754099242288333[/C][/ROW]
[ROW][C]0.4[/C][C]99.4298807389982[/C][C]0.744088708270378[/C][/ROW]
[ROW][C]0.41[/C][C]99.5792190869405[/C][C]0.751033826327964[/C][/ROW]
[ROW][C]0.42[/C][C]99.730097973886[/C][C]0.773173509878208[/C][/ROW]
[ROW][C]0.43[/C][C]99.885319425912[/C][C]0.808050904674907[/C][/ROW]
[ROW][C]0.44[/C][C]100.047343577582[/C][C]0.85389311353457[/C][/ROW]
[ROW][C]0.45[/C][C]100.218292691120[/C][C]0.909091597325605[/C][/ROW]
[ROW][C]0.46[/C][C]100.399978192564[/C][C]0.972369221964231[/C][/ROW]
[ROW][C]0.47[/C][C]100.593928943036[/C][C]1.04223879267713[/C][/ROW]
[ROW][C]0.48[/C][C]100.801406383876[/C][C]1.11752286133517[/C][/ROW]
[ROW][C]0.49[/C][C]101.023400366441[/C][C]1.19685325430686[/C][/ROW]
[ROW][C]0.5[/C][C]101.260606352800[/C][C]1.27870793280718[/C][/ROW]
[ROW][C]0.51[/C][C]101.513389027169[/C][C]1.36091625045958[/C][/ROW]
[ROW][C]0.52[/C][C]101.781738932505[/C][C]1.44149501990428[/C][/ROW]
[ROW][C]0.53[/C][C]102.065228180653[/C][C]1.51822291972053[/C][/ROW]
[ROW][C]0.54[/C][C]102.362969810125[/C][C]1.58854703579504[/C][/ROW]
[ROW][C]0.55[/C][C]102.673584329965[/C][C]1.64983636018244[/C][/ROW]
[ROW][C]0.56[/C][C]102.995177328481[/C][C]1.69971118681772[/C][/ROW]
[ROW][C]0.57[/C][C]103.325333880336[/C][C]1.73528811633891[/C][/ROW]
[ROW][C]0.58[/C][C]103.661138097449[/C][C]1.75434831450153[/C][/ROW]
[ROW][C]0.59[/C][C]103.999228136292[/C][C]1.75433796783208[/C][/ROW]
[ROW][C]0.6[/C][C]104.335896775055[/C][C]1.73424209316319[/C][/ROW]
[ROW][C]0.61[/C][C]104.667244277356[/C][C]1.69311418382610[/C][/ROW]
[ROW][C]0.62[/C][C]104.989383593195[/C][C]1.63121293588398[/C][/ROW]
[ROW][C]0.63[/C][C]105.298689053443[/C][C]1.55088308891634[/C][/ROW]
[ROW][C]0.64[/C][C]105.592070512077[/C][C]1.45524112701955[/C][/ROW]
[ROW][C]0.65[/C][C]105.867247628214[/C][C]1.34871922469074[/C][/ROW]
[ROW][C]0.66[/C][C]106.122995514499[/C][C]1.23733803494028[/C][/ROW]
[ROW][C]0.67[/C][C]106.359334111165[/C][C]1.12745782994761[/C][/ROW]
[ROW][C]0.68[/C][C]106.577638733377[/C][C]1.02623477695566[/C][/ROW]
[ROW][C]0.69[/C][C]106.780656282614[/C][C]0.940521444453034[/C][/ROW]
[ROW][C]0.7[/C][C]106.972417935681[/C][C]0.876948115771859[/C][/ROW]
[ROW][C]0.71[/C][C]107.158042612534[/C][C]0.841102811596309[/C][/ROW]
[ROW][C]0.72[/C][C]107.343426089016[/C][C]0.836639540823705[/C][/ROW]
[ROW][C]0.73[/C][C]107.534811250855[/C][C]0.86419324868687[/C][/ROW]
[ROW][C]0.74[/C][C]107.738241516156[/C][C]0.921037236481581[/C][/ROW]
[ROW][C]0.75[/C][C]107.958918383650[/C][C]1.00070021903217[/C][/ROW]
[ROW][C]0.76[/C][C]108.200518510939[/C][C]1.09358379403453[/C][/ROW]
[ROW][C]0.77[/C][C]108.464570891837[/C][C]1.18772488345211[/C][/ROW]
[ROW][C]0.78[/C][C]108.750035416079[/C][C]1.27005441527675[/C][/ROW]
[ROW][C]0.79[/C][C]109.053237238655[/C][C]1.32796260662285[/C][/ROW]
[ROW][C]0.8[/C][C]109.368274378173[/C][C]1.35208103763669[/C][/ROW]
[ROW][C]0.81[/C][C]109.687919251700[/C][C]1.33801967058837[/C][/ROW]
[ROW][C]0.82[/C][C]110.004892890201[/C][C]1.28787108224469[/C][/ROW]
[ROW][C]0.83[/C][C]110.313244549458[/C][C]1.21045758179692[/C][/ROW]
[ROW][C]0.84[/C][C]110.609477763420[/C][C]1.11950791557917[/C][/ROW]
[ROW][C]0.85[/C][C]110.893082444160[/C][C]1.03047289600734[/C][/ROW]
[ROW][C]0.86[/C][C]111.166291667393[/C][C]0.956412379457703[/C][/ROW]
[ROW][C]0.87[/C][C]111.433166864621[/C][C]0.903992081056548[/C][/ROW]
[ROW][C]0.88[/C][C]111.698454308162[/C][C]0.8713097935901[/C][/ROW]
[ROW][C]0.89[/C][C]111.966912197872[/C][C]0.851211195293643[/C][/ROW]
[ROW][C]0.9[/C][C]112.243787166218[/C][C]0.837780800758663[/C][/ROW]
[ROW][C]0.91[/C][C]112.536626611759[/C][C]0.833941337734234[/C][/ROW]
[ROW][C]0.92[/C][C]112.857608203267[/C][C]0.855001018655723[/C][/ROW]
[ROW][C]0.93[/C][C]113.224418259264[/C][C]0.920700029194651[/C][/ROW]
[ROW][C]0.94[/C][C]113.657383532027[/C][C]1.03302018963198[/C][/ROW]
[ROW][C]0.95[/C][C]114.172309015110[/C][C]1.15754675010774[/C][/ROW]
[ROW][C]0.96[/C][C]114.772296233281[/C][C]1.23169106344016[/C][/ROW]
[ROW][C]0.97[/C][C]115.443308623900[/C][C]1.20192992330986[/C][/ROW]
[ROW][C]0.98[/C][C]116.147909544666[/C][C]1.08025948723944[/C][/ROW]
[ROW][C]0.99[/C][C]116.794251601331[/C][C]0.981322652081042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5057&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5057&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
0.0187.1404856898371.31266587749171
0.0287.93174383695721.19685949915837
0.0388.70408350486631.14983193593540
0.0489.35887423985441.06251108141877
0.0589.89081680891150.933600964759033
0.0690.32419808762130.838520623912638
0.0790.69408535564570.838471586037682
0.0891.03727688631910.932148239431054
0.0991.383019806541.07412777115848
0.191.74733721922131.21620774123146
0.1192.13295630046361.32566033105997
0.1292.53316348403851.38747293508879
0.1392.9368465935521.40197730623849
0.1493.33267333783431.37859597698535
0.1593.71152736854531.32896733486453
0.1694.06730546954831.26280569659804
0.1794.39670709248831.18657450119554
0.1894.6987040399731.10525642343415
0.1994.97412416898761.02476687742366
0.295.2254494023670.952744334312235
0.2195.45669614410550.897927182214293
0.2295.67318280138960.868736866064987
0.2395.88106089638180.87002878068448
0.2496.08661384077280.901540515845365
0.2596.29543857336620.956905272804843
0.2696.51168079859811.02551781472374
0.2796.73748864671631.09564591476671
0.2896.9727970494811.15533957703063
0.2997.21547856436161.19574842701280
0.397.46181796133981.21066407961784
0.3197.70720559784161.19839417835822
0.3297.94691041359551.16074962324159
0.3398.176791952031.10319783629681
0.3498.39383905008551.03308054956006
0.3598.59647094285220.958680264844318
0.3698.78459095359590.887829465624187
0.3798.95943033990360.827339543648671
0.3899.12325070489940.781953456319635
0.3999.27898392150830.754099242288333
0.499.42988073899820.744088708270378
0.4199.57921908694050.751033826327964
0.4299.7300979738860.773173509878208
0.4399.8853194259120.808050904674907
0.44100.0473435775820.85389311353457
0.45100.2182926911200.909091597325605
0.46100.3999781925640.972369221964231
0.47100.5939289430361.04223879267713
0.48100.8014063838761.11752286133517
0.49101.0234003664411.19685325430686
0.5101.2606063528001.27870793280718
0.51101.5133890271691.36091625045958
0.52101.7817389325051.44149501990428
0.53102.0652281806531.51822291972053
0.54102.3629698101251.58854703579504
0.55102.6735843299651.64983636018244
0.56102.9951773284811.69971118681772
0.57103.3253338803361.73528811633891
0.58103.6611380974491.75434831450153
0.59103.9992281362921.75433796783208
0.6104.3358967750551.73424209316319
0.61104.6672442773561.69311418382610
0.62104.9893835931951.63121293588398
0.63105.2986890534431.55088308891634
0.64105.5920705120771.45524112701955
0.65105.8672476282141.34871922469074
0.66106.1229955144991.23733803494028
0.67106.3593341111651.12745782994761
0.68106.5776387333771.02623477695566
0.69106.7806562826140.940521444453034
0.7106.9724179356810.876948115771859
0.71107.1580426125340.841102811596309
0.72107.3434260890160.836639540823705
0.73107.5348112508550.86419324868687
0.74107.7382415161560.921037236481581
0.75107.9589183836501.00070021903217
0.76108.2005185109391.09358379403453
0.77108.4645708918371.18772488345211
0.78108.7500354160791.27005441527675
0.79109.0532372386551.32796260662285
0.8109.3682743781731.35208103763669
0.81109.6879192517001.33801967058837
0.82110.0048928902011.28787108224469
0.83110.3132445494581.21045758179692
0.84110.6094777634201.11950791557917
0.85110.8930824441601.03047289600734
0.86111.1662916673930.956412379457703
0.87111.4331668646210.903992081056548
0.88111.6984543081620.8713097935901
0.89111.9669121978720.851211195293643
0.9112.2437871662180.837780800758663
0.91112.5366266117590.833941337734234
0.92112.8576082032670.855001018655723
0.93113.2244182592640.920700029194651
0.94113.6573835320271.03302018963198
0.95114.1723090151101.15754675010774
0.96114.7722962332811.23169106344016
0.97115.4433086239001.20192992330986
0.98116.1479095446661.08025948723944
0.99116.7942516013310.981322652081042


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')