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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 17 Aug 2008 04:58:29 -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/2008/Aug/17/t1218970791x8ig5099xf79i21.htm/, Retrieved Tue, 14 May 2024 13:10:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14590, Retrieved Tue, 14 May 2024 13:10:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact239

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] [Toon Raeman - Opg...] [2008-08-17 10:58:29] [b46ff5180a79ecd706507099e9497e04] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.11
11.42
11.71
12.04
12.21
12
12.36
12.32
12.96
12.79
13.19
12.34
13.25
12.54
12.77
12.96
13
13.61
13.8
14.16
14.27
14.69
15.01
15.09
15.14
14.2
13.83
14.31
14.04
14.9
14.92
15.36
15.5
15.65
16.18
15.44
15.58
15.24
15.33
16.07
15.82
15.87
15.72
17.07
16.83
17.52
17.76
17.36
17.95
16.71
17.14
16.72
17.26
17.24
17.69
18.13
18.08
18.18
18.18
17.64
17.89
16.82
16.61
16.66
17.02
16.91
17.18
18.06
17.58
17.48
17.54
17.44
17.79
16.79
16.19
16.62
16.39
16.54
17.26
18
17.29
18.16
17.82
17.48
18.31
17.04
17.03
16.97
17.11
17.12
17.69
18.5
18.27
18.45
18.35
18.03

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14590&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14590&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14590&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.56258516721700.267033553067752
0.0211.75839990989190.232224536553058
0.0311.92338023810330.189338759338829
0.0412.04568857630240.164765389354535
0.0512.14162236512420.165418203371479
0.0612.22692066067980.180962505469889
0.0712.31086761930350.204638646285570
0.0812.39797656567940.232962037422258
0.0912.49003073385590.261788567623337
0.112.58718203546010.287447534318665
0.1112.68871316575690.309106786362141
0.1212.79383158232770.329217456833765
0.1312.9022844443460.351519576677933
0.1413.01448993500070.378207515153256
0.1513.13117473638020.408509911767958
0.1613.25280080304670.439101939019707
0.1713.37913063160160.465921385912919
0.1813.50913596933640.485909808894259
0.1913.64124053571880.498001802073756
0.213.77373285742090.503101286591862
0.2113.90514651037320.503340840862752
0.2214.03446555616560.501043870232201
0.2314.16111833489890.497697399560147
0.2414.28481679802230.493630879247847
0.2514.40534634638180.48813683196859
0.2614.52240598284660.480037567832147
0.2714.63555611481860.468439600048086
0.2814.74427721815430.453191871047565
0.2914.84810008735230.434992244104623
0.314.9467503064590.41536400755909
0.3115.04025608811560.396128642136687
0.3215.12899071320270.379139672148626
0.3315.21364622290670.365886504677566
0.3415.29515397355990.357337987536323
0.3515.37457587076620.353821102659268
0.3615.45298869174410.355168923300742
0.3715.53137719969370.360663644339525
0.3815.61054443545100.369262291660365
0.3915.69104268039350.379602087767796
0.415.77312686486810.390155422128481
0.4115.85673259198830.399341993160017
0.4215.94148164011530.405684940843731
0.4316.02671721778110.407910367087655
0.4416.11156864508230.405136779633255
0.4516.19504081691510.396945960727722
0.4616.27611887717590.383553240996748
0.4716.35387451194030.365612317358885
0.4816.42755856666970.344229371583843
0.4916.49666616225040.320814563063573
0.516.56096512100140.296767582531720
0.5116.6204853936930.27352628229049
0.5216.67547468489730.252002649826234
0.5316.72633174567310.232881742516939
0.5416.77353227963620.216318655662010
0.5516.81756229569320.202161020919741
0.5616.85887023680840.190037969198470
0.5716.89784343061990.17950346841922
0.5816.93480800794660.170225213761724
0.5916.97004611722780.162061575153986
0.617.00382125717200.154918811789358
0.6117.03640229588720.148978047350306
0.6217.06807884685800.144421913179508
0.6317.09916413763070.141363885905434
0.6417.12998516591110.139902819752626
0.6517.16086287004480.139917800986187
0.6617.19208683208110.141171274580214
0.6717.22388975267630.143304445836809
0.6817.25642688437300.145928432959432
0.6917.28976497954450.148535210310998
0.717.32388403209440.150689918507815
0.7117.35869296524310.152063679300161
0.7217.39405746971590.152540338178650
0.7317.42983501206740.152136341132834
0.7417.46590972245380.151092297610912
0.7517.50221956157140.149687020906253
0.7617.53877024447850.148311867529315
0.7717.5756340297990.14724038055714
0.7817.61293488349750.146616695334989
0.7917.65082303514390.146476226192866
0.817.68944130207910.146729859007242
0.8117.72888444035530.147137134556639
0.8217.76915387537510.147293674382128
0.8317.81011496124110.146658476644483
0.8417.85147057785130.144585015516216
0.8517.89276811534010.140504507620145
0.8617.93345116906490.134126902687156
0.8717.97295222553410.125616205573134
0.8818.01080669299380.115586653930113
0.8918.04676500108540.104955208864794
0.918.08089252891380.094748079106278
0.9118.11365901464740.0860346673983807
0.9218.14599962526650.0799715519609519
0.9318.17928390040490.0775245881375282
0.9418.21513829608000.078527841117647
0.9518.25520688644990.0811951332991171
0.9618.30101430777640.0836787687852251
0.9718.35362188416060.0852915823409576
0.9818.41171981670850.0818814821238524
0.9918.46681640481860.0656716242849145

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.5625851672170 & 0.267033553067752 \tabularnewline
0.02 & 11.7583999098919 & 0.232224536553058 \tabularnewline
0.03 & 11.9233802381033 & 0.189338759338829 \tabularnewline
0.04 & 12.0456885763024 & 0.164765389354535 \tabularnewline
0.05 & 12.1416223651242 & 0.165418203371479 \tabularnewline
0.06 & 12.2269206606798 & 0.180962505469889 \tabularnewline
0.07 & 12.3108676193035 & 0.204638646285570 \tabularnewline
0.08 & 12.3979765656794 & 0.232962037422258 \tabularnewline
0.09 & 12.4900307338559 & 0.261788567623337 \tabularnewline
0.1 & 12.5871820354601 & 0.287447534318665 \tabularnewline
0.11 & 12.6887131657569 & 0.309106786362141 \tabularnewline
0.12 & 12.7938315823277 & 0.329217456833765 \tabularnewline
0.13 & 12.902284444346 & 0.351519576677933 \tabularnewline
0.14 & 13.0144899350007 & 0.378207515153256 \tabularnewline
0.15 & 13.1311747363802 & 0.408509911767958 \tabularnewline
0.16 & 13.2528008030467 & 0.439101939019707 \tabularnewline
0.17 & 13.3791306316016 & 0.465921385912919 \tabularnewline
0.18 & 13.5091359693364 & 0.485909808894259 \tabularnewline
0.19 & 13.6412405357188 & 0.498001802073756 \tabularnewline
0.2 & 13.7737328574209 & 0.503101286591862 \tabularnewline
0.21 & 13.9051465103732 & 0.503340840862752 \tabularnewline
0.22 & 14.0344655561656 & 0.501043870232201 \tabularnewline
0.23 & 14.1611183348989 & 0.497697399560147 \tabularnewline
0.24 & 14.2848167980223 & 0.493630879247847 \tabularnewline
0.25 & 14.4053463463818 & 0.48813683196859 \tabularnewline
0.26 & 14.5224059828466 & 0.480037567832147 \tabularnewline
0.27 & 14.6355561148186 & 0.468439600048086 \tabularnewline
0.28 & 14.7442772181543 & 0.453191871047565 \tabularnewline
0.29 & 14.8481000873523 & 0.434992244104623 \tabularnewline
0.3 & 14.946750306459 & 0.41536400755909 \tabularnewline
0.31 & 15.0402560881156 & 0.396128642136687 \tabularnewline
0.32 & 15.1289907132027 & 0.379139672148626 \tabularnewline
0.33 & 15.2136462229067 & 0.365886504677566 \tabularnewline
0.34 & 15.2951539735599 & 0.357337987536323 \tabularnewline
0.35 & 15.3745758707662 & 0.353821102659268 \tabularnewline
0.36 & 15.4529886917441 & 0.355168923300742 \tabularnewline
0.37 & 15.5313771996937 & 0.360663644339525 \tabularnewline
0.38 & 15.6105444354510 & 0.369262291660365 \tabularnewline
0.39 & 15.6910426803935 & 0.379602087767796 \tabularnewline
0.4 & 15.7731268648681 & 0.390155422128481 \tabularnewline
0.41 & 15.8567325919883 & 0.399341993160017 \tabularnewline
0.42 & 15.9414816401153 & 0.405684940843731 \tabularnewline
0.43 & 16.0267172177811 & 0.407910367087655 \tabularnewline
0.44 & 16.1115686450823 & 0.405136779633255 \tabularnewline
0.45 & 16.1950408169151 & 0.396945960727722 \tabularnewline
0.46 & 16.2761188771759 & 0.383553240996748 \tabularnewline
0.47 & 16.3538745119403 & 0.365612317358885 \tabularnewline
0.48 & 16.4275585666697 & 0.344229371583843 \tabularnewline
0.49 & 16.4966661622504 & 0.320814563063573 \tabularnewline
0.5 & 16.5609651210014 & 0.296767582531720 \tabularnewline
0.51 & 16.620485393693 & 0.27352628229049 \tabularnewline
0.52 & 16.6754746848973 & 0.252002649826234 \tabularnewline
0.53 & 16.7263317456731 & 0.232881742516939 \tabularnewline
0.54 & 16.7735322796362 & 0.216318655662010 \tabularnewline
0.55 & 16.8175622956932 & 0.202161020919741 \tabularnewline
0.56 & 16.8588702368084 & 0.190037969198470 \tabularnewline
0.57 & 16.8978434306199 & 0.17950346841922 \tabularnewline
0.58 & 16.9348080079466 & 0.170225213761724 \tabularnewline
0.59 & 16.9700461172278 & 0.162061575153986 \tabularnewline
0.6 & 17.0038212571720 & 0.154918811789358 \tabularnewline
0.61 & 17.0364022958872 & 0.148978047350306 \tabularnewline
0.62 & 17.0680788468580 & 0.144421913179508 \tabularnewline
0.63 & 17.0991641376307 & 0.141363885905434 \tabularnewline
0.64 & 17.1299851659111 & 0.139902819752626 \tabularnewline
0.65 & 17.1608628700448 & 0.139917800986187 \tabularnewline
0.66 & 17.1920868320811 & 0.141171274580214 \tabularnewline
0.67 & 17.2238897526763 & 0.143304445836809 \tabularnewline
0.68 & 17.2564268843730 & 0.145928432959432 \tabularnewline
0.69 & 17.2897649795445 & 0.148535210310998 \tabularnewline
0.7 & 17.3238840320944 & 0.150689918507815 \tabularnewline
0.71 & 17.3586929652431 & 0.152063679300161 \tabularnewline
0.72 & 17.3940574697159 & 0.152540338178650 \tabularnewline
0.73 & 17.4298350120674 & 0.152136341132834 \tabularnewline
0.74 & 17.4659097224538 & 0.151092297610912 \tabularnewline
0.75 & 17.5022195615714 & 0.149687020906253 \tabularnewline
0.76 & 17.5387702444785 & 0.148311867529315 \tabularnewline
0.77 & 17.575634029799 & 0.14724038055714 \tabularnewline
0.78 & 17.6129348834975 & 0.146616695334989 \tabularnewline
0.79 & 17.6508230351439 & 0.146476226192866 \tabularnewline
0.8 & 17.6894413020791 & 0.146729859007242 \tabularnewline
0.81 & 17.7288844403553 & 0.147137134556639 \tabularnewline
0.82 & 17.7691538753751 & 0.147293674382128 \tabularnewline
0.83 & 17.8101149612411 & 0.146658476644483 \tabularnewline
0.84 & 17.8514705778513 & 0.144585015516216 \tabularnewline
0.85 & 17.8927681153401 & 0.140504507620145 \tabularnewline
0.86 & 17.9334511690649 & 0.134126902687156 \tabularnewline
0.87 & 17.9729522255341 & 0.125616205573134 \tabularnewline
0.88 & 18.0108066929938 & 0.115586653930113 \tabularnewline
0.89 & 18.0467650010854 & 0.104955208864794 \tabularnewline
0.9 & 18.0808925289138 & 0.094748079106278 \tabularnewline
0.91 & 18.1136590146474 & 0.0860346673983807 \tabularnewline
0.92 & 18.1459996252665 & 0.0799715519609519 \tabularnewline
0.93 & 18.1792839004049 & 0.0775245881375282 \tabularnewline
0.94 & 18.2151382960800 & 0.078527841117647 \tabularnewline
0.95 & 18.2552068864499 & 0.0811951332991171 \tabularnewline
0.96 & 18.3010143077764 & 0.0836787687852251 \tabularnewline
0.97 & 18.3536218841606 & 0.0852915823409576 \tabularnewline
0.98 & 18.4117198167085 & 0.0818814821238524 \tabularnewline
0.99 & 18.4668164048186 & 0.0656716242849145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14590&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]11.5625851672170[/C][C]0.267033553067752[/C][/ROW]
[ROW][C]0.02[/C][C]11.7583999098919[/C][C]0.232224536553058[/C][/ROW]
[ROW][C]0.03[/C][C]11.9233802381033[/C][C]0.189338759338829[/C][/ROW]
[ROW][C]0.04[/C][C]12.0456885763024[/C][C]0.164765389354535[/C][/ROW]
[ROW][C]0.05[/C][C]12.1416223651242[/C][C]0.165418203371479[/C][/ROW]
[ROW][C]0.06[/C][C]12.2269206606798[/C][C]0.180962505469889[/C][/ROW]
[ROW][C]0.07[/C][C]12.3108676193035[/C][C]0.204638646285570[/C][/ROW]
[ROW][C]0.08[/C][C]12.3979765656794[/C][C]0.232962037422258[/C][/ROW]
[ROW][C]0.09[/C][C]12.4900307338559[/C][C]0.261788567623337[/C][/ROW]
[ROW][C]0.1[/C][C]12.5871820354601[/C][C]0.287447534318665[/C][/ROW]
[ROW][C]0.11[/C][C]12.6887131657569[/C][C]0.309106786362141[/C][/ROW]
[ROW][C]0.12[/C][C]12.7938315823277[/C][C]0.329217456833765[/C][/ROW]
[ROW][C]0.13[/C][C]12.902284444346[/C][C]0.351519576677933[/C][/ROW]
[ROW][C]0.14[/C][C]13.0144899350007[/C][C]0.378207515153256[/C][/ROW]
[ROW][C]0.15[/C][C]13.1311747363802[/C][C]0.408509911767958[/C][/ROW]
[ROW][C]0.16[/C][C]13.2528008030467[/C][C]0.439101939019707[/C][/ROW]
[ROW][C]0.17[/C][C]13.3791306316016[/C][C]0.465921385912919[/C][/ROW]
[ROW][C]0.18[/C][C]13.5091359693364[/C][C]0.485909808894259[/C][/ROW]
[ROW][C]0.19[/C][C]13.6412405357188[/C][C]0.498001802073756[/C][/ROW]
[ROW][C]0.2[/C][C]13.7737328574209[/C][C]0.503101286591862[/C][/ROW]
[ROW][C]0.21[/C][C]13.9051465103732[/C][C]0.503340840862752[/C][/ROW]
[ROW][C]0.22[/C][C]14.0344655561656[/C][C]0.501043870232201[/C][/ROW]
[ROW][C]0.23[/C][C]14.1611183348989[/C][C]0.497697399560147[/C][/ROW]
[ROW][C]0.24[/C][C]14.2848167980223[/C][C]0.493630879247847[/C][/ROW]
[ROW][C]0.25[/C][C]14.4053463463818[/C][C]0.48813683196859[/C][/ROW]
[ROW][C]0.26[/C][C]14.5224059828466[/C][C]0.480037567832147[/C][/ROW]
[ROW][C]0.27[/C][C]14.6355561148186[/C][C]0.468439600048086[/C][/ROW]
[ROW][C]0.28[/C][C]14.7442772181543[/C][C]0.453191871047565[/C][/ROW]
[ROW][C]0.29[/C][C]14.8481000873523[/C][C]0.434992244104623[/C][/ROW]
[ROW][C]0.3[/C][C]14.946750306459[/C][C]0.41536400755909[/C][/ROW]
[ROW][C]0.31[/C][C]15.0402560881156[/C][C]0.396128642136687[/C][/ROW]
[ROW][C]0.32[/C][C]15.1289907132027[/C][C]0.379139672148626[/C][/ROW]
[ROW][C]0.33[/C][C]15.2136462229067[/C][C]0.365886504677566[/C][/ROW]
[ROW][C]0.34[/C][C]15.2951539735599[/C][C]0.357337987536323[/C][/ROW]
[ROW][C]0.35[/C][C]15.3745758707662[/C][C]0.353821102659268[/C][/ROW]
[ROW][C]0.36[/C][C]15.4529886917441[/C][C]0.355168923300742[/C][/ROW]
[ROW][C]0.37[/C][C]15.5313771996937[/C][C]0.360663644339525[/C][/ROW]
[ROW][C]0.38[/C][C]15.6105444354510[/C][C]0.369262291660365[/C][/ROW]
[ROW][C]0.39[/C][C]15.6910426803935[/C][C]0.379602087767796[/C][/ROW]
[ROW][C]0.4[/C][C]15.7731268648681[/C][C]0.390155422128481[/C][/ROW]
[ROW][C]0.41[/C][C]15.8567325919883[/C][C]0.399341993160017[/C][/ROW]
[ROW][C]0.42[/C][C]15.9414816401153[/C][C]0.405684940843731[/C][/ROW]
[ROW][C]0.43[/C][C]16.0267172177811[/C][C]0.407910367087655[/C][/ROW]
[ROW][C]0.44[/C][C]16.1115686450823[/C][C]0.405136779633255[/C][/ROW]
[ROW][C]0.45[/C][C]16.1950408169151[/C][C]0.396945960727722[/C][/ROW]
[ROW][C]0.46[/C][C]16.2761188771759[/C][C]0.383553240996748[/C][/ROW]
[ROW][C]0.47[/C][C]16.3538745119403[/C][C]0.365612317358885[/C][/ROW]
[ROW][C]0.48[/C][C]16.4275585666697[/C][C]0.344229371583843[/C][/ROW]
[ROW][C]0.49[/C][C]16.4966661622504[/C][C]0.320814563063573[/C][/ROW]
[ROW][C]0.5[/C][C]16.5609651210014[/C][C]0.296767582531720[/C][/ROW]
[ROW][C]0.51[/C][C]16.620485393693[/C][C]0.27352628229049[/C][/ROW]
[ROW][C]0.52[/C][C]16.6754746848973[/C][C]0.252002649826234[/C][/ROW]
[ROW][C]0.53[/C][C]16.7263317456731[/C][C]0.232881742516939[/C][/ROW]
[ROW][C]0.54[/C][C]16.7735322796362[/C][C]0.216318655662010[/C][/ROW]
[ROW][C]0.55[/C][C]16.8175622956932[/C][C]0.202161020919741[/C][/ROW]
[ROW][C]0.56[/C][C]16.8588702368084[/C][C]0.190037969198470[/C][/ROW]
[ROW][C]0.57[/C][C]16.8978434306199[/C][C]0.17950346841922[/C][/ROW]
[ROW][C]0.58[/C][C]16.9348080079466[/C][C]0.170225213761724[/C][/ROW]
[ROW][C]0.59[/C][C]16.9700461172278[/C][C]0.162061575153986[/C][/ROW]
[ROW][C]0.6[/C][C]17.0038212571720[/C][C]0.154918811789358[/C][/ROW]
[ROW][C]0.61[/C][C]17.0364022958872[/C][C]0.148978047350306[/C][/ROW]
[ROW][C]0.62[/C][C]17.0680788468580[/C][C]0.144421913179508[/C][/ROW]
[ROW][C]0.63[/C][C]17.0991641376307[/C][C]0.141363885905434[/C][/ROW]
[ROW][C]0.64[/C][C]17.1299851659111[/C][C]0.139902819752626[/C][/ROW]
[ROW][C]0.65[/C][C]17.1608628700448[/C][C]0.139917800986187[/C][/ROW]
[ROW][C]0.66[/C][C]17.1920868320811[/C][C]0.141171274580214[/C][/ROW]
[ROW][C]0.67[/C][C]17.2238897526763[/C][C]0.143304445836809[/C][/ROW]
[ROW][C]0.68[/C][C]17.2564268843730[/C][C]0.145928432959432[/C][/ROW]
[ROW][C]0.69[/C][C]17.2897649795445[/C][C]0.148535210310998[/C][/ROW]
[ROW][C]0.7[/C][C]17.3238840320944[/C][C]0.150689918507815[/C][/ROW]
[ROW][C]0.71[/C][C]17.3586929652431[/C][C]0.152063679300161[/C][/ROW]
[ROW][C]0.72[/C][C]17.3940574697159[/C][C]0.152540338178650[/C][/ROW]
[ROW][C]0.73[/C][C]17.4298350120674[/C][C]0.152136341132834[/C][/ROW]
[ROW][C]0.74[/C][C]17.4659097224538[/C][C]0.151092297610912[/C][/ROW]
[ROW][C]0.75[/C][C]17.5022195615714[/C][C]0.149687020906253[/C][/ROW]
[ROW][C]0.76[/C][C]17.5387702444785[/C][C]0.148311867529315[/C][/ROW]
[ROW][C]0.77[/C][C]17.575634029799[/C][C]0.14724038055714[/C][/ROW]
[ROW][C]0.78[/C][C]17.6129348834975[/C][C]0.146616695334989[/C][/ROW]
[ROW][C]0.79[/C][C]17.6508230351439[/C][C]0.146476226192866[/C][/ROW]
[ROW][C]0.8[/C][C]17.6894413020791[/C][C]0.146729859007242[/C][/ROW]
[ROW][C]0.81[/C][C]17.7288844403553[/C][C]0.147137134556639[/C][/ROW]
[ROW][C]0.82[/C][C]17.7691538753751[/C][C]0.147293674382128[/C][/ROW]
[ROW][C]0.83[/C][C]17.8101149612411[/C][C]0.146658476644483[/C][/ROW]
[ROW][C]0.84[/C][C]17.8514705778513[/C][C]0.144585015516216[/C][/ROW]
[ROW][C]0.85[/C][C]17.8927681153401[/C][C]0.140504507620145[/C][/ROW]
[ROW][C]0.86[/C][C]17.9334511690649[/C][C]0.134126902687156[/C][/ROW]
[ROW][C]0.87[/C][C]17.9729522255341[/C][C]0.125616205573134[/C][/ROW]
[ROW][C]0.88[/C][C]18.0108066929938[/C][C]0.115586653930113[/C][/ROW]
[ROW][C]0.89[/C][C]18.0467650010854[/C][C]0.104955208864794[/C][/ROW]
[ROW][C]0.9[/C][C]18.0808925289138[/C][C]0.094748079106278[/C][/ROW]
[ROW][C]0.91[/C][C]18.1136590146474[/C][C]0.0860346673983807[/C][/ROW]
[ROW][C]0.92[/C][C]18.1459996252665[/C][C]0.0799715519609519[/C][/ROW]
[ROW][C]0.93[/C][C]18.1792839004049[/C][C]0.0775245881375282[/C][/ROW]
[ROW][C]0.94[/C][C]18.2151382960800[/C][C]0.078527841117647[/C][/ROW]
[ROW][C]0.95[/C][C]18.2552068864499[/C][C]0.0811951332991171[/C][/ROW]
[ROW][C]0.96[/C][C]18.3010143077764[/C][C]0.0836787687852251[/C][/ROW]
[ROW][C]0.97[/C][C]18.3536218841606[/C][C]0.0852915823409576[/C][/ROW]
[ROW][C]0.98[/C][C]18.4117198167085[/C][C]0.0818814821238524[/C][/ROW]
[ROW][C]0.99[/C][C]18.4668164048186[/C][C]0.0656716242849145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14590&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14590&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
0.0111.56258516721700.267033553067752
0.0211.75839990989190.232224536553058
0.0311.92338023810330.189338759338829
0.0412.04568857630240.164765389354535
0.0512.14162236512420.165418203371479
0.0612.22692066067980.180962505469889
0.0712.31086761930350.204638646285570
0.0812.39797656567940.232962037422258
0.0912.49003073385590.261788567623337
0.112.58718203546010.287447534318665
0.1112.68871316575690.309106786362141
0.1212.79383158232770.329217456833765
0.1312.9022844443460.351519576677933
0.1413.01448993500070.378207515153256
0.1513.13117473638020.408509911767958
0.1613.25280080304670.439101939019707
0.1713.37913063160160.465921385912919
0.1813.50913596933640.485909808894259
0.1913.64124053571880.498001802073756
0.213.77373285742090.503101286591862
0.2113.90514651037320.503340840862752
0.2214.03446555616560.501043870232201
0.2314.16111833489890.497697399560147
0.2414.28481679802230.493630879247847
0.2514.40534634638180.48813683196859
0.2614.52240598284660.480037567832147
0.2714.63555611481860.468439600048086
0.2814.74427721815430.453191871047565
0.2914.84810008735230.434992244104623
0.314.9467503064590.41536400755909
0.3115.04025608811560.396128642136687
0.3215.12899071320270.379139672148626
0.3315.21364622290670.365886504677566
0.3415.29515397355990.357337987536323
0.3515.37457587076620.353821102659268
0.3615.45298869174410.355168923300742
0.3715.53137719969370.360663644339525
0.3815.61054443545100.369262291660365
0.3915.69104268039350.379602087767796
0.415.77312686486810.390155422128481
0.4115.85673259198830.399341993160017
0.4215.94148164011530.405684940843731
0.4316.02671721778110.407910367087655
0.4416.11156864508230.405136779633255
0.4516.19504081691510.396945960727722
0.4616.27611887717590.383553240996748
0.4716.35387451194030.365612317358885
0.4816.42755856666970.344229371583843
0.4916.49666616225040.320814563063573
0.516.56096512100140.296767582531720
0.5116.6204853936930.27352628229049
0.5216.67547468489730.252002649826234
0.5316.72633174567310.232881742516939
0.5416.77353227963620.216318655662010
0.5516.81756229569320.202161020919741
0.5616.85887023680840.190037969198470
0.5716.89784343061990.17950346841922
0.5816.93480800794660.170225213761724
0.5916.97004611722780.162061575153986
0.617.00382125717200.154918811789358
0.6117.03640229588720.148978047350306
0.6217.06807884685800.144421913179508
0.6317.09916413763070.141363885905434
0.6417.12998516591110.139902819752626
0.6517.16086287004480.139917800986187
0.6617.19208683208110.141171274580214
0.6717.22388975267630.143304445836809
0.6817.25642688437300.145928432959432
0.6917.28976497954450.148535210310998
0.717.32388403209440.150689918507815
0.7117.35869296524310.152063679300161
0.7217.39405746971590.152540338178650
0.7317.42983501206740.152136341132834
0.7417.46590972245380.151092297610912
0.7517.50221956157140.149687020906253
0.7617.53877024447850.148311867529315
0.7717.5756340297990.14724038055714
0.7817.61293488349750.146616695334989
0.7917.65082303514390.146476226192866
0.817.68944130207910.146729859007242
0.8117.72888444035530.147137134556639
0.8217.76915387537510.147293674382128
0.8317.81011496124110.146658476644483
0.8417.85147057785130.144585015516216
0.8517.89276811534010.140504507620145
0.8617.93345116906490.134126902687156
0.8717.97295222553410.125616205573134
0.8818.01080669299380.115586653930113
0.8918.04676500108540.104955208864794
0.918.08089252891380.094748079106278
0.9118.11365901464740.0860346673983807
0.9218.14599962526650.0799715519609519
0.9318.17928390040490.0775245881375282
0.9418.21513829608000.078527841117647
0.9518.25520688644990.0811951332991171
0.9618.30101430777640.0836787687852251
0.9718.35362188416060.0852915823409576
0.9818.41171981670850.0818814821238524
0.9918.46681640481860.0656716242849145


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')