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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 computationThu, 06 Oct 2016 13:14:38 +0100
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/Oct/06/t1475756120e9cd0kemern1hqs.htm/, Retrieved Sat, 04 May 2024 19:58:25 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 19:58:25 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.98
98.97
98.91
98.98
98.95
98.96
98.96
99.04
99.33
100.04
100.14
100.21
100.21
100.27
100.44
100.57
100.51
100.47
100.47
100.49
101
101.61
101.65
101.74
101.74
101.73
101.77
101.82
101.97
102.09
102.09
102.08
102.42
102.78
103.04
103.08
99.16
99.19
99.23
99.31
99.46
99.49
99.95
100.14
100.43
101.1
101.26
101.28
101.04
101.12
101.07
100.97
101.01
100.99
101.19
101.25
101.33
101.79
102.06
102.09
102.27
102.26
102.46
102.46
102.51
102.56
102.59
102.26
102.33
102.84
102.93
102.95

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'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.92088276612570.0317485992114096
0.0298.93543947928680.0223362422034792
0.0398.94839426799350.0166900751502632
0.0498.95895078956560.0178312150383069
0.0598.96895350775860.0258689942439311
0.0698.98071146804410.0392567642389669
0.0798.99606203651760.0568041827450582
0.0899.0161829283830.0769171830496088
0.0999.04164125144070.0981159091891299
0.199.07252286012860.119197300082303
0.1199.10862492237870.139847587518395
0.1299.14967878267870.160647278790082
0.1399.19553426343750.182849968048408
0.1499.24623938317460.207521981302965
0.1599.3019893885520.235114504186435
0.1699.36297006900710.264289923818078
0.1799.42915747095510.293186233564793
0.1899.500146725960.319296786927008
0.1999.57506756220340.339806145342474
0.299.65261273936330.352663987333369
0.2199.7311706396680.35678400483755
0.2299.80902551681390.352183322240778
0.2399.88457520527650.339958434221732
0.2499.95651800210880.322145184017609
0.25100.0239748120780.301132198699554
0.26100.0865332862130.279326839087832
0.27100.144220630150.258742398931192
0.28100.1974255600990.24104761152443
0.29100.2467950250630.22723680677712
0.3100.2931284539040.21763055158771
0.31100.3372844061660.212335192457524
0.32100.3801054510020.211066523789971
0.33100.4223601311170.213415970897634
0.34100.4646977185380.218881664082641
0.35100.5076120965540.226385523011505
0.36100.5514140958950.234892369660694
0.37100.5962149633740.243029246413395
0.38100.6419255609940.249897122093346
0.39100.6882754147220.254337578812621
0.4100.7348529259590.255572220350516
0.41100.7811638738360.253270119733521
0.42100.8267011687920.247663745780459
0.43100.8710159909050.239375937563201
0.44100.9137797836340.229334146462897
0.45100.9548281893520.218635668589098
0.46100.9941813600950.208585580662112
0.47101.0320392000660.200322833599747
0.48101.0687539788480.194482995605095
0.49101.1047856298120.192013373556134
0.5101.1406465778840.19281262112163
0.51101.1768432167170.196709482960727
0.52101.2138205554270.20301425944715
0.53101.2519155265430.210903336095209
0.54101.2913233088650.219365349592347
0.55101.3320798593580.22735251475927
0.56101.3740625468930.234081144454406
0.57101.4170091389490.238559599370727
0.58101.4605533081380.240361018553263
0.59101.504272435240.239409546702259
0.6101.5477412081370.235720060043729
0.61101.5905829667930.229792741507151
0.62101.632510540460.222212832266764
0.63101.6733498435040.214037685516714
0.64101.7130426819020.205801516074319
0.65101.7516295005620.198425691630079
0.66101.7892171770510.191979741948537
0.67101.8259402749780.1865592103512
0.68101.8619254243230.181961049045511
0.69101.8972672262570.177783433329509
0.7101.9320205392420.173594134290977
0.71101.9662091539060.169087493906721
0.72101.9998461208840.16434612199221
0.73102.0329577864690.159637338761407
0.74102.0656028803620.155042700019497
0.75102.0978799550630.151094793152107
0.76102.1299204177130.147871381249656
0.77102.161869068310.145400381058062
0.78102.1938581169040.143559611200025
0.79102.2259831278430.14206951827323
0.8102.2582898628880.140538862099468
0.81102.2907796693810.138602741110741
0.82102.3234380771430.136121392820344
0.83102.3562865691660.133302158904906
0.84102.3894507868140.130367694895354
0.85102.4232297577350.128165059858494
0.86102.4581414184940.127719030581536
0.87102.4949132471990.129949438804988
0.88102.5343889783290.135324702110526
0.89102.5773395806860.143286780119232
0.9102.6242023597960.152069353543041
0.91102.6748212073630.15881376821399
0.92102.72830503280.160534311470055
0.93102.7831264917010.155030360163867
0.94102.837508647340.142076657104968
0.95102.8899728727890.12387260326837
0.96102.9396949217190.104416329731266
0.97102.9861899836770.0866276149158557
0.98103.0280564046530.0692048144576138
0.99103.0613556619590.0510119850754448

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.9208827661257 & 0.0317485992114096 \tabularnewline
0.02 & 98.9354394792868 & 0.0223362422034792 \tabularnewline
0.03 & 98.9483942679935 & 0.0166900751502632 \tabularnewline
0.04 & 98.9589507895656 & 0.0178312150383069 \tabularnewline
0.05 & 98.9689535077586 & 0.0258689942439311 \tabularnewline
0.06 & 98.9807114680441 & 0.0392567642389669 \tabularnewline
0.07 & 98.9960620365176 & 0.0568041827450582 \tabularnewline
0.08 & 99.016182928383 & 0.0769171830496088 \tabularnewline
0.09 & 99.0416412514407 & 0.0981159091891299 \tabularnewline
0.1 & 99.0725228601286 & 0.119197300082303 \tabularnewline
0.11 & 99.1086249223787 & 0.139847587518395 \tabularnewline
0.12 & 99.1496787826787 & 0.160647278790082 \tabularnewline
0.13 & 99.1955342634375 & 0.182849968048408 \tabularnewline
0.14 & 99.2462393831746 & 0.207521981302965 \tabularnewline
0.15 & 99.301989388552 & 0.235114504186435 \tabularnewline
0.16 & 99.3629700690071 & 0.264289923818078 \tabularnewline
0.17 & 99.4291574709551 & 0.293186233564793 \tabularnewline
0.18 & 99.50014672596 & 0.319296786927008 \tabularnewline
0.19 & 99.5750675622034 & 0.339806145342474 \tabularnewline
0.2 & 99.6526127393633 & 0.352663987333369 \tabularnewline
0.21 & 99.731170639668 & 0.35678400483755 \tabularnewline
0.22 & 99.8090255168139 & 0.352183322240778 \tabularnewline
0.23 & 99.8845752052765 & 0.339958434221732 \tabularnewline
0.24 & 99.9565180021088 & 0.322145184017609 \tabularnewline
0.25 & 100.023974812078 & 0.301132198699554 \tabularnewline
0.26 & 100.086533286213 & 0.279326839087832 \tabularnewline
0.27 & 100.14422063015 & 0.258742398931192 \tabularnewline
0.28 & 100.197425560099 & 0.24104761152443 \tabularnewline
0.29 & 100.246795025063 & 0.22723680677712 \tabularnewline
0.3 & 100.293128453904 & 0.21763055158771 \tabularnewline
0.31 & 100.337284406166 & 0.212335192457524 \tabularnewline
0.32 & 100.380105451002 & 0.211066523789971 \tabularnewline
0.33 & 100.422360131117 & 0.213415970897634 \tabularnewline
0.34 & 100.464697718538 & 0.218881664082641 \tabularnewline
0.35 & 100.507612096554 & 0.226385523011505 \tabularnewline
0.36 & 100.551414095895 & 0.234892369660694 \tabularnewline
0.37 & 100.596214963374 & 0.243029246413395 \tabularnewline
0.38 & 100.641925560994 & 0.249897122093346 \tabularnewline
0.39 & 100.688275414722 & 0.254337578812621 \tabularnewline
0.4 & 100.734852925959 & 0.255572220350516 \tabularnewline
0.41 & 100.781163873836 & 0.253270119733521 \tabularnewline
0.42 & 100.826701168792 & 0.247663745780459 \tabularnewline
0.43 & 100.871015990905 & 0.239375937563201 \tabularnewline
0.44 & 100.913779783634 & 0.229334146462897 \tabularnewline
0.45 & 100.954828189352 & 0.218635668589098 \tabularnewline
0.46 & 100.994181360095 & 0.208585580662112 \tabularnewline
0.47 & 101.032039200066 & 0.200322833599747 \tabularnewline
0.48 & 101.068753978848 & 0.194482995605095 \tabularnewline
0.49 & 101.104785629812 & 0.192013373556134 \tabularnewline
0.5 & 101.140646577884 & 0.19281262112163 \tabularnewline
0.51 & 101.176843216717 & 0.196709482960727 \tabularnewline
0.52 & 101.213820555427 & 0.20301425944715 \tabularnewline
0.53 & 101.251915526543 & 0.210903336095209 \tabularnewline
0.54 & 101.291323308865 & 0.219365349592347 \tabularnewline
0.55 & 101.332079859358 & 0.22735251475927 \tabularnewline
0.56 & 101.374062546893 & 0.234081144454406 \tabularnewline
0.57 & 101.417009138949 & 0.238559599370727 \tabularnewline
0.58 & 101.460553308138 & 0.240361018553263 \tabularnewline
0.59 & 101.50427243524 & 0.239409546702259 \tabularnewline
0.6 & 101.547741208137 & 0.235720060043729 \tabularnewline
0.61 & 101.590582966793 & 0.229792741507151 \tabularnewline
0.62 & 101.63251054046 & 0.222212832266764 \tabularnewline
0.63 & 101.673349843504 & 0.214037685516714 \tabularnewline
0.64 & 101.713042681902 & 0.205801516074319 \tabularnewline
0.65 & 101.751629500562 & 0.198425691630079 \tabularnewline
0.66 & 101.789217177051 & 0.191979741948537 \tabularnewline
0.67 & 101.825940274978 & 0.1865592103512 \tabularnewline
0.68 & 101.861925424323 & 0.181961049045511 \tabularnewline
0.69 & 101.897267226257 & 0.177783433329509 \tabularnewline
0.7 & 101.932020539242 & 0.173594134290977 \tabularnewline
0.71 & 101.966209153906 & 0.169087493906721 \tabularnewline
0.72 & 101.999846120884 & 0.16434612199221 \tabularnewline
0.73 & 102.032957786469 & 0.159637338761407 \tabularnewline
0.74 & 102.065602880362 & 0.155042700019497 \tabularnewline
0.75 & 102.097879955063 & 0.151094793152107 \tabularnewline
0.76 & 102.129920417713 & 0.147871381249656 \tabularnewline
0.77 & 102.16186906831 & 0.145400381058062 \tabularnewline
0.78 & 102.193858116904 & 0.143559611200025 \tabularnewline
0.79 & 102.225983127843 & 0.14206951827323 \tabularnewline
0.8 & 102.258289862888 & 0.140538862099468 \tabularnewline
0.81 & 102.290779669381 & 0.138602741110741 \tabularnewline
0.82 & 102.323438077143 & 0.136121392820344 \tabularnewline
0.83 & 102.356286569166 & 0.133302158904906 \tabularnewline
0.84 & 102.389450786814 & 0.130367694895354 \tabularnewline
0.85 & 102.423229757735 & 0.128165059858494 \tabularnewline
0.86 & 102.458141418494 & 0.127719030581536 \tabularnewline
0.87 & 102.494913247199 & 0.129949438804988 \tabularnewline
0.88 & 102.534388978329 & 0.135324702110526 \tabularnewline
0.89 & 102.577339580686 & 0.143286780119232 \tabularnewline
0.9 & 102.624202359796 & 0.152069353543041 \tabularnewline
0.91 & 102.674821207363 & 0.15881376821399 \tabularnewline
0.92 & 102.7283050328 & 0.160534311470055 \tabularnewline
0.93 & 102.783126491701 & 0.155030360163867 \tabularnewline
0.94 & 102.83750864734 & 0.142076657104968 \tabularnewline
0.95 & 102.889972872789 & 0.12387260326837 \tabularnewline
0.96 & 102.939694921719 & 0.104416329731266 \tabularnewline
0.97 & 102.986189983677 & 0.0866276149158557 \tabularnewline
0.98 & 103.028056404653 & 0.0692048144576138 \tabularnewline
0.99 & 103.061355661959 & 0.0510119850754448 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]98.9208827661257[/C][C]0.0317485992114096[/C][/ROW]
[ROW][C]0.02[/C][C]98.9354394792868[/C][C]0.0223362422034792[/C][/ROW]
[ROW][C]0.03[/C][C]98.9483942679935[/C][C]0.0166900751502632[/C][/ROW]
[ROW][C]0.04[/C][C]98.9589507895656[/C][C]0.0178312150383069[/C][/ROW]
[ROW][C]0.05[/C][C]98.9689535077586[/C][C]0.0258689942439311[/C][/ROW]
[ROW][C]0.06[/C][C]98.9807114680441[/C][C]0.0392567642389669[/C][/ROW]
[ROW][C]0.07[/C][C]98.9960620365176[/C][C]0.0568041827450582[/C][/ROW]
[ROW][C]0.08[/C][C]99.016182928383[/C][C]0.0769171830496088[/C][/ROW]
[ROW][C]0.09[/C][C]99.0416412514407[/C][C]0.0981159091891299[/C][/ROW]
[ROW][C]0.1[/C][C]99.0725228601286[/C][C]0.119197300082303[/C][/ROW]
[ROW][C]0.11[/C][C]99.1086249223787[/C][C]0.139847587518395[/C][/ROW]
[ROW][C]0.12[/C][C]99.1496787826787[/C][C]0.160647278790082[/C][/ROW]
[ROW][C]0.13[/C][C]99.1955342634375[/C][C]0.182849968048408[/C][/ROW]
[ROW][C]0.14[/C][C]99.2462393831746[/C][C]0.207521981302965[/C][/ROW]
[ROW][C]0.15[/C][C]99.301989388552[/C][C]0.235114504186435[/C][/ROW]
[ROW][C]0.16[/C][C]99.3629700690071[/C][C]0.264289923818078[/C][/ROW]
[ROW][C]0.17[/C][C]99.4291574709551[/C][C]0.293186233564793[/C][/ROW]
[ROW][C]0.18[/C][C]99.50014672596[/C][C]0.319296786927008[/C][/ROW]
[ROW][C]0.19[/C][C]99.5750675622034[/C][C]0.339806145342474[/C][/ROW]
[ROW][C]0.2[/C][C]99.6526127393633[/C][C]0.352663987333369[/C][/ROW]
[ROW][C]0.21[/C][C]99.731170639668[/C][C]0.35678400483755[/C][/ROW]
[ROW][C]0.22[/C][C]99.8090255168139[/C][C]0.352183322240778[/C][/ROW]
[ROW][C]0.23[/C][C]99.8845752052765[/C][C]0.339958434221732[/C][/ROW]
[ROW][C]0.24[/C][C]99.9565180021088[/C][C]0.322145184017609[/C][/ROW]
[ROW][C]0.25[/C][C]100.023974812078[/C][C]0.301132198699554[/C][/ROW]
[ROW][C]0.26[/C][C]100.086533286213[/C][C]0.279326839087832[/C][/ROW]
[ROW][C]0.27[/C][C]100.14422063015[/C][C]0.258742398931192[/C][/ROW]
[ROW][C]0.28[/C][C]100.197425560099[/C][C]0.24104761152443[/C][/ROW]
[ROW][C]0.29[/C][C]100.246795025063[/C][C]0.22723680677712[/C][/ROW]
[ROW][C]0.3[/C][C]100.293128453904[/C][C]0.21763055158771[/C][/ROW]
[ROW][C]0.31[/C][C]100.337284406166[/C][C]0.212335192457524[/C][/ROW]
[ROW][C]0.32[/C][C]100.380105451002[/C][C]0.211066523789971[/C][/ROW]
[ROW][C]0.33[/C][C]100.422360131117[/C][C]0.213415970897634[/C][/ROW]
[ROW][C]0.34[/C][C]100.464697718538[/C][C]0.218881664082641[/C][/ROW]
[ROW][C]0.35[/C][C]100.507612096554[/C][C]0.226385523011505[/C][/ROW]
[ROW][C]0.36[/C][C]100.551414095895[/C][C]0.234892369660694[/C][/ROW]
[ROW][C]0.37[/C][C]100.596214963374[/C][C]0.243029246413395[/C][/ROW]
[ROW][C]0.38[/C][C]100.641925560994[/C][C]0.249897122093346[/C][/ROW]
[ROW][C]0.39[/C][C]100.688275414722[/C][C]0.254337578812621[/C][/ROW]
[ROW][C]0.4[/C][C]100.734852925959[/C][C]0.255572220350516[/C][/ROW]
[ROW][C]0.41[/C][C]100.781163873836[/C][C]0.253270119733521[/C][/ROW]
[ROW][C]0.42[/C][C]100.826701168792[/C][C]0.247663745780459[/C][/ROW]
[ROW][C]0.43[/C][C]100.871015990905[/C][C]0.239375937563201[/C][/ROW]
[ROW][C]0.44[/C][C]100.913779783634[/C][C]0.229334146462897[/C][/ROW]
[ROW][C]0.45[/C][C]100.954828189352[/C][C]0.218635668589098[/C][/ROW]
[ROW][C]0.46[/C][C]100.994181360095[/C][C]0.208585580662112[/C][/ROW]
[ROW][C]0.47[/C][C]101.032039200066[/C][C]0.200322833599747[/C][/ROW]
[ROW][C]0.48[/C][C]101.068753978848[/C][C]0.194482995605095[/C][/ROW]
[ROW][C]0.49[/C][C]101.104785629812[/C][C]0.192013373556134[/C][/ROW]
[ROW][C]0.5[/C][C]101.140646577884[/C][C]0.19281262112163[/C][/ROW]
[ROW][C]0.51[/C][C]101.176843216717[/C][C]0.196709482960727[/C][/ROW]
[ROW][C]0.52[/C][C]101.213820555427[/C][C]0.20301425944715[/C][/ROW]
[ROW][C]0.53[/C][C]101.251915526543[/C][C]0.210903336095209[/C][/ROW]
[ROW][C]0.54[/C][C]101.291323308865[/C][C]0.219365349592347[/C][/ROW]
[ROW][C]0.55[/C][C]101.332079859358[/C][C]0.22735251475927[/C][/ROW]
[ROW][C]0.56[/C][C]101.374062546893[/C][C]0.234081144454406[/C][/ROW]
[ROW][C]0.57[/C][C]101.417009138949[/C][C]0.238559599370727[/C][/ROW]
[ROW][C]0.58[/C][C]101.460553308138[/C][C]0.240361018553263[/C][/ROW]
[ROW][C]0.59[/C][C]101.50427243524[/C][C]0.239409546702259[/C][/ROW]
[ROW][C]0.6[/C][C]101.547741208137[/C][C]0.235720060043729[/C][/ROW]
[ROW][C]0.61[/C][C]101.590582966793[/C][C]0.229792741507151[/C][/ROW]
[ROW][C]0.62[/C][C]101.63251054046[/C][C]0.222212832266764[/C][/ROW]
[ROW][C]0.63[/C][C]101.673349843504[/C][C]0.214037685516714[/C][/ROW]
[ROW][C]0.64[/C][C]101.713042681902[/C][C]0.205801516074319[/C][/ROW]
[ROW][C]0.65[/C][C]101.751629500562[/C][C]0.198425691630079[/C][/ROW]
[ROW][C]0.66[/C][C]101.789217177051[/C][C]0.191979741948537[/C][/ROW]
[ROW][C]0.67[/C][C]101.825940274978[/C][C]0.1865592103512[/C][/ROW]
[ROW][C]0.68[/C][C]101.861925424323[/C][C]0.181961049045511[/C][/ROW]
[ROW][C]0.69[/C][C]101.897267226257[/C][C]0.177783433329509[/C][/ROW]
[ROW][C]0.7[/C][C]101.932020539242[/C][C]0.173594134290977[/C][/ROW]
[ROW][C]0.71[/C][C]101.966209153906[/C][C]0.169087493906721[/C][/ROW]
[ROW][C]0.72[/C][C]101.999846120884[/C][C]0.16434612199221[/C][/ROW]
[ROW][C]0.73[/C][C]102.032957786469[/C][C]0.159637338761407[/C][/ROW]
[ROW][C]0.74[/C][C]102.065602880362[/C][C]0.155042700019497[/C][/ROW]
[ROW][C]0.75[/C][C]102.097879955063[/C][C]0.151094793152107[/C][/ROW]
[ROW][C]0.76[/C][C]102.129920417713[/C][C]0.147871381249656[/C][/ROW]
[ROW][C]0.77[/C][C]102.16186906831[/C][C]0.145400381058062[/C][/ROW]
[ROW][C]0.78[/C][C]102.193858116904[/C][C]0.143559611200025[/C][/ROW]
[ROW][C]0.79[/C][C]102.225983127843[/C][C]0.14206951827323[/C][/ROW]
[ROW][C]0.8[/C][C]102.258289862888[/C][C]0.140538862099468[/C][/ROW]
[ROW][C]0.81[/C][C]102.290779669381[/C][C]0.138602741110741[/C][/ROW]
[ROW][C]0.82[/C][C]102.323438077143[/C][C]0.136121392820344[/C][/ROW]
[ROW][C]0.83[/C][C]102.356286569166[/C][C]0.133302158904906[/C][/ROW]
[ROW][C]0.84[/C][C]102.389450786814[/C][C]0.130367694895354[/C][/ROW]
[ROW][C]0.85[/C][C]102.423229757735[/C][C]0.128165059858494[/C][/ROW]
[ROW][C]0.86[/C][C]102.458141418494[/C][C]0.127719030581536[/C][/ROW]
[ROW][C]0.87[/C][C]102.494913247199[/C][C]0.129949438804988[/C][/ROW]
[ROW][C]0.88[/C][C]102.534388978329[/C][C]0.135324702110526[/C][/ROW]
[ROW][C]0.89[/C][C]102.577339580686[/C][C]0.143286780119232[/C][/ROW]
[ROW][C]0.9[/C][C]102.624202359796[/C][C]0.152069353543041[/C][/ROW]
[ROW][C]0.91[/C][C]102.674821207363[/C][C]0.15881376821399[/C][/ROW]
[ROW][C]0.92[/C][C]102.7283050328[/C][C]0.160534311470055[/C][/ROW]
[ROW][C]0.93[/C][C]102.783126491701[/C][C]0.155030360163867[/C][/ROW]
[ROW][C]0.94[/C][C]102.83750864734[/C][C]0.142076657104968[/C][/ROW]
[ROW][C]0.95[/C][C]102.889972872789[/C][C]0.12387260326837[/C][/ROW]
[ROW][C]0.96[/C][C]102.939694921719[/C][C]0.104416329731266[/C][/ROW]
[ROW][C]0.97[/C][C]102.986189983677[/C][C]0.0866276149158557[/C][/ROW]
[ROW][C]0.98[/C][C]103.028056404653[/C][C]0.0692048144576138[/C][/ROW]
[ROW][C]0.99[/C][C]103.061355661959[/C][C]0.0510119850754448[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0198.92088276612570.0317485992114096
0.0298.93543947928680.0223362422034792
0.0398.94839426799350.0166900751502632
0.0498.95895078956560.0178312150383069
0.0598.96895350775860.0258689942439311
0.0698.98071146804410.0392567642389669
0.0798.99606203651760.0568041827450582
0.0899.0161829283830.0769171830496088
0.0999.04164125144070.0981159091891299
0.199.07252286012860.119197300082303
0.1199.10862492237870.139847587518395
0.1299.14967878267870.160647278790082
0.1399.19553426343750.182849968048408
0.1499.24623938317460.207521981302965
0.1599.3019893885520.235114504186435
0.1699.36297006900710.264289923818078
0.1799.42915747095510.293186233564793
0.1899.500146725960.319296786927008
0.1999.57506756220340.339806145342474
0.299.65261273936330.352663987333369
0.2199.7311706396680.35678400483755
0.2299.80902551681390.352183322240778
0.2399.88457520527650.339958434221732
0.2499.95651800210880.322145184017609
0.25100.0239748120780.301132198699554
0.26100.0865332862130.279326839087832
0.27100.144220630150.258742398931192
0.28100.1974255600990.24104761152443
0.29100.2467950250630.22723680677712
0.3100.2931284539040.21763055158771
0.31100.3372844061660.212335192457524
0.32100.3801054510020.211066523789971
0.33100.4223601311170.213415970897634
0.34100.4646977185380.218881664082641
0.35100.5076120965540.226385523011505
0.36100.5514140958950.234892369660694
0.37100.5962149633740.243029246413395
0.38100.6419255609940.249897122093346
0.39100.6882754147220.254337578812621
0.4100.7348529259590.255572220350516
0.41100.7811638738360.253270119733521
0.42100.8267011687920.247663745780459
0.43100.8710159909050.239375937563201
0.44100.9137797836340.229334146462897
0.45100.9548281893520.218635668589098
0.46100.9941813600950.208585580662112
0.47101.0320392000660.200322833599747
0.48101.0687539788480.194482995605095
0.49101.1047856298120.192013373556134
0.5101.1406465778840.19281262112163
0.51101.1768432167170.196709482960727
0.52101.2138205554270.20301425944715
0.53101.2519155265430.210903336095209
0.54101.2913233088650.219365349592347
0.55101.3320798593580.22735251475927
0.56101.3740625468930.234081144454406
0.57101.4170091389490.238559599370727
0.58101.4605533081380.240361018553263
0.59101.504272435240.239409546702259
0.6101.5477412081370.235720060043729
0.61101.5905829667930.229792741507151
0.62101.632510540460.222212832266764
0.63101.6733498435040.214037685516714
0.64101.7130426819020.205801516074319
0.65101.7516295005620.198425691630079
0.66101.7892171770510.191979741948537
0.67101.8259402749780.1865592103512
0.68101.8619254243230.181961049045511
0.69101.8972672262570.177783433329509
0.7101.9320205392420.173594134290977
0.71101.9662091539060.169087493906721
0.72101.9998461208840.16434612199221
0.73102.0329577864690.159637338761407
0.74102.0656028803620.155042700019497
0.75102.0978799550630.151094793152107
0.76102.1299204177130.147871381249656
0.77102.161869068310.145400381058062
0.78102.1938581169040.143559611200025
0.79102.2259831278430.14206951827323
0.8102.2582898628880.140538862099468
0.81102.2907796693810.138602741110741
0.82102.3234380771430.136121392820344
0.83102.3562865691660.133302158904906
0.84102.3894507868140.130367694895354
0.85102.4232297577350.128165059858494
0.86102.4581414184940.127719030581536
0.87102.4949132471990.129949438804988
0.88102.5343889783290.135324702110526
0.89102.5773395806860.143286780119232
0.9102.6242023597960.152069353543041
0.91102.6748212073630.15881376821399
0.92102.72830503280.160534311470055
0.93102.7831264917010.155030360163867
0.94102.837508647340.142076657104968
0.95102.8899728727890.12387260326837
0.96102.9396949217190.104416329731266
0.97102.9861899836770.0866276149158557
0.98103.0280564046530.0692048144576138
0.99103.0613556619590.0510119850754448


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')