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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, 07 Oct 2012 12:49:03 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/07/t134962863005j6enylztowcl2.htm/, Retrieved Sat, 04 May 2024 09:57:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173033, Retrieved Sat, 04 May 2024 09:57:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62

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] [Melchocola quanti...] [2012-10-07 16:49:03] [a65efd8010de7ce8a50260769e922377] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,41
8,39
8,43
8,44
8,49
8,47
8,53
8,52
8,51
8,53
8,54
8,53
8,47
8,63
8,67
8,73
8,57
8,55
8,63
8,65
8,44
8,62
8,37
8,59
8,84
8,72
8,8
8,69
8,68
8,57
8,85
8,85
8,85
8,93
8,75
8,78
8,77
9,03
9,01
9,07
8,99
9,02
8,99
8,98
8,94
8,94
8,75
8,86
8,87
8,84
8,84
9,91
10,18
10,34
10,36
10,26
10,16
10,31
10,46
10,54
10,47
10,48
10,46
11,3
11,58
11,69
11,63
11,51
11,37
11,42
11,7
11,75

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=173033&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=173033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173033&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
0.018.377175204031990.0199376741731865
0.028.388622051515150.0212319077983193
0.038.401233133809890.0224837286679691
0.048.413307949465370.0229175084525115
0.058.424379799758250.0230646661244169
0.068.434567405286350.023674935176923
0.078.444176185582560.0250044987868773
0.088.453498491384820.0267502228407127
0.098.462715986353190.0284106039052635
0.18.471874105487150.0295947383149603
0.118.480909525494620.0301074713786015
0.128.489703992213880.0299325323690415
0.138.498139917321560.0292028964291513
0.148.506142731429870.0281996014673743
0.158.513704150037720.0272689975602112
0.168.520886355042360.0267606938675314
0.178.527810398432440.0269104686316165
0.188.534634090243130.0278543057693825
0.198.541525565104560.0295671291274026
0.28.54863846419490.0318714460550379
0.218.556093242814880.0345560331608454
0.228.563966960104140.0373816934364979
0.238.572291687520010.0401753636809911
0.248.581059948358590.0427574380360981
0.258.590234647713640.0450414889289948
0.268.599760759483640.0470090172077264
0.278.609576415198590.0486650082915325
0.288.619621744430910.0500388556464641
0.298.629844628677520.0512067148096202
0.38.640203283647950.0522086822135853
0.318.650666166247840.0530925267593928
0.328.661210047703190.0538887346168485
0.338.671817186389110.0546137096863169
0.348.682472405473370.0552456874626875
0.358.693160608235210.055770229499765
0.368.703864951537830.0561846656084014
0.378.714565647947330.0564545467306176
0.388.725239250561940.0565544695055308
0.398.735858309928280.0564938179657682
0.48.746391439857920.0562289027324231
0.418.756804005419570.0557369336228935
0.428.767059754517920.0550164048611269
0.438.77712367759770.0540590580404069
0.448.786966171545670.0528959273845268
0.458.796568241650730.0515774270310648
0.468.805927095961620.0502316409906344
0.478.815061199629190.0489929684860042
0.488.824013789367690.0479967159057341
0.498.832854084102390.0474673239069625
0.58.841675979053380.0475503999871794
0.518.850594803680610.0483434278644677
0.528.859743607275880.0499291117408531
0.538.869271202404370.0523402470180143
0.548.879344617161180.0556242788435121
0.558.890158469834870.0598399218134381
0.568.901952926078120.065243821214556
0.578.915040264494550.0722790693516523
0.588.929837732077340.0816234905099614
0.598.946901564662010.0942133666339802
0.68.966954240005340.111134902985122
0.618.990894896126670.13343180060098
0.629.019782207919510.161929659554124
0.639.054780683347380.19698842043495
0.649.097065862044550.238284288326467
0.659.147691240895540.284681750470487
0.669.207429037687210.334141169815579
0.679.276606337881830.383780331838078
0.689.354965264116980.430115610523381
0.699.441577975917710.469373264685872
0.79.534842708506810.498078990121191
0.719.632575453656280.513462709668007
0.729.732195132036380.514016395028549
0.739.830981997989110.499732113231366
0.749.926374316004810.472169211789496
0.7510.01626121426880.434333789895625
0.7610.09923194736270.39022638415594
0.7710.17475214868910.344478169061552
0.7810.24325142820640.301866038340392
0.7910.30611781226820.26705014536614
0.810.36559838528760.244330183348343
0.8110.42460189630880.237102809749882
0.8210.48639396651030.246742359361392
0.8310.55417955277860.271612460096075
0.8410.63059076865580.307082629843987
0.8510.71714313466810.346366749799503
0.8610.81377697612840.38150972000074
0.8710.91863488375860.40465886681286
0.8811.0282078522210.409683008216558
0.8911.13789374906420.393780413368858
0.911.24286867561620.358452970145696
0.9111.33903076679210.309189951206691
0.9211.42371273761330.253814938865631
0.9311.49592959466430.200041015074656
0.9411.55612958775090.153133233547176
0.9511.60567246677880.114826566377604
0.9611.64640541064960.0841371934970502
0.9711.68048879279160.0601374201964219
0.9811.70989231923720.0453543142501151
0.9911.73450394329730.0438692816307882

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.37717520403199 & 0.0199376741731865 \tabularnewline
0.02 & 8.38862205151515 & 0.0212319077983193 \tabularnewline
0.03 & 8.40123313380989 & 0.0224837286679691 \tabularnewline
0.04 & 8.41330794946537 & 0.0229175084525115 \tabularnewline
0.05 & 8.42437979975825 & 0.0230646661244169 \tabularnewline
0.06 & 8.43456740528635 & 0.023674935176923 \tabularnewline
0.07 & 8.44417618558256 & 0.0250044987868773 \tabularnewline
0.08 & 8.45349849138482 & 0.0267502228407127 \tabularnewline
0.09 & 8.46271598635319 & 0.0284106039052635 \tabularnewline
0.1 & 8.47187410548715 & 0.0295947383149603 \tabularnewline
0.11 & 8.48090952549462 & 0.0301074713786015 \tabularnewline
0.12 & 8.48970399221388 & 0.0299325323690415 \tabularnewline
0.13 & 8.49813991732156 & 0.0292028964291513 \tabularnewline
0.14 & 8.50614273142987 & 0.0281996014673743 \tabularnewline
0.15 & 8.51370415003772 & 0.0272689975602112 \tabularnewline
0.16 & 8.52088635504236 & 0.0267606938675314 \tabularnewline
0.17 & 8.52781039843244 & 0.0269104686316165 \tabularnewline
0.18 & 8.53463409024313 & 0.0278543057693825 \tabularnewline
0.19 & 8.54152556510456 & 0.0295671291274026 \tabularnewline
0.2 & 8.5486384641949 & 0.0318714460550379 \tabularnewline
0.21 & 8.55609324281488 & 0.0345560331608454 \tabularnewline
0.22 & 8.56396696010414 & 0.0373816934364979 \tabularnewline
0.23 & 8.57229168752001 & 0.0401753636809911 \tabularnewline
0.24 & 8.58105994835859 & 0.0427574380360981 \tabularnewline
0.25 & 8.59023464771364 & 0.0450414889289948 \tabularnewline
0.26 & 8.59976075948364 & 0.0470090172077264 \tabularnewline
0.27 & 8.60957641519859 & 0.0486650082915325 \tabularnewline
0.28 & 8.61962174443091 & 0.0500388556464641 \tabularnewline
0.29 & 8.62984462867752 & 0.0512067148096202 \tabularnewline
0.3 & 8.64020328364795 & 0.0522086822135853 \tabularnewline
0.31 & 8.65066616624784 & 0.0530925267593928 \tabularnewline
0.32 & 8.66121004770319 & 0.0538887346168485 \tabularnewline
0.33 & 8.67181718638911 & 0.0546137096863169 \tabularnewline
0.34 & 8.68247240547337 & 0.0552456874626875 \tabularnewline
0.35 & 8.69316060823521 & 0.055770229499765 \tabularnewline
0.36 & 8.70386495153783 & 0.0561846656084014 \tabularnewline
0.37 & 8.71456564794733 & 0.0564545467306176 \tabularnewline
0.38 & 8.72523925056194 & 0.0565544695055308 \tabularnewline
0.39 & 8.73585830992828 & 0.0564938179657682 \tabularnewline
0.4 & 8.74639143985792 & 0.0562289027324231 \tabularnewline
0.41 & 8.75680400541957 & 0.0557369336228935 \tabularnewline
0.42 & 8.76705975451792 & 0.0550164048611269 \tabularnewline
0.43 & 8.7771236775977 & 0.0540590580404069 \tabularnewline
0.44 & 8.78696617154567 & 0.0528959273845268 \tabularnewline
0.45 & 8.79656824165073 & 0.0515774270310648 \tabularnewline
0.46 & 8.80592709596162 & 0.0502316409906344 \tabularnewline
0.47 & 8.81506119962919 & 0.0489929684860042 \tabularnewline
0.48 & 8.82401378936769 & 0.0479967159057341 \tabularnewline
0.49 & 8.83285408410239 & 0.0474673239069625 \tabularnewline
0.5 & 8.84167597905338 & 0.0475503999871794 \tabularnewline
0.51 & 8.85059480368061 & 0.0483434278644677 \tabularnewline
0.52 & 8.85974360727588 & 0.0499291117408531 \tabularnewline
0.53 & 8.86927120240437 & 0.0523402470180143 \tabularnewline
0.54 & 8.87934461716118 & 0.0556242788435121 \tabularnewline
0.55 & 8.89015846983487 & 0.0598399218134381 \tabularnewline
0.56 & 8.90195292607812 & 0.065243821214556 \tabularnewline
0.57 & 8.91504026449455 & 0.0722790693516523 \tabularnewline
0.58 & 8.92983773207734 & 0.0816234905099614 \tabularnewline
0.59 & 8.94690156466201 & 0.0942133666339802 \tabularnewline
0.6 & 8.96695424000534 & 0.111134902985122 \tabularnewline
0.61 & 8.99089489612667 & 0.13343180060098 \tabularnewline
0.62 & 9.01978220791951 & 0.161929659554124 \tabularnewline
0.63 & 9.05478068334738 & 0.19698842043495 \tabularnewline
0.64 & 9.09706586204455 & 0.238284288326467 \tabularnewline
0.65 & 9.14769124089554 & 0.284681750470487 \tabularnewline
0.66 & 9.20742903768721 & 0.334141169815579 \tabularnewline
0.67 & 9.27660633788183 & 0.383780331838078 \tabularnewline
0.68 & 9.35496526411698 & 0.430115610523381 \tabularnewline
0.69 & 9.44157797591771 & 0.469373264685872 \tabularnewline
0.7 & 9.53484270850681 & 0.498078990121191 \tabularnewline
0.71 & 9.63257545365628 & 0.513462709668007 \tabularnewline
0.72 & 9.73219513203638 & 0.514016395028549 \tabularnewline
0.73 & 9.83098199798911 & 0.499732113231366 \tabularnewline
0.74 & 9.92637431600481 & 0.472169211789496 \tabularnewline
0.75 & 10.0162612142688 & 0.434333789895625 \tabularnewline
0.76 & 10.0992319473627 & 0.39022638415594 \tabularnewline
0.77 & 10.1747521486891 & 0.344478169061552 \tabularnewline
0.78 & 10.2432514282064 & 0.301866038340392 \tabularnewline
0.79 & 10.3061178122682 & 0.26705014536614 \tabularnewline
0.8 & 10.3655983852876 & 0.244330183348343 \tabularnewline
0.81 & 10.4246018963088 & 0.237102809749882 \tabularnewline
0.82 & 10.4863939665103 & 0.246742359361392 \tabularnewline
0.83 & 10.5541795527786 & 0.271612460096075 \tabularnewline
0.84 & 10.6305907686558 & 0.307082629843987 \tabularnewline
0.85 & 10.7171431346681 & 0.346366749799503 \tabularnewline
0.86 & 10.8137769761284 & 0.38150972000074 \tabularnewline
0.87 & 10.9186348837586 & 0.40465886681286 \tabularnewline
0.88 & 11.028207852221 & 0.409683008216558 \tabularnewline
0.89 & 11.1378937490642 & 0.393780413368858 \tabularnewline
0.9 & 11.2428686756162 & 0.358452970145696 \tabularnewline
0.91 & 11.3390307667921 & 0.309189951206691 \tabularnewline
0.92 & 11.4237127376133 & 0.253814938865631 \tabularnewline
0.93 & 11.4959295946643 & 0.200041015074656 \tabularnewline
0.94 & 11.5561295877509 & 0.153133233547176 \tabularnewline
0.95 & 11.6056724667788 & 0.114826566377604 \tabularnewline
0.96 & 11.6464054106496 & 0.0841371934970502 \tabularnewline
0.97 & 11.6804887927916 & 0.0601374201964219 \tabularnewline
0.98 & 11.7098923192372 & 0.0453543142501151 \tabularnewline
0.99 & 11.7345039432973 & 0.0438692816307882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173033&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]8.37717520403199[/C][C]0.0199376741731865[/C][/ROW]
[ROW][C]0.02[/C][C]8.38862205151515[/C][C]0.0212319077983193[/C][/ROW]
[ROW][C]0.03[/C][C]8.40123313380989[/C][C]0.0224837286679691[/C][/ROW]
[ROW][C]0.04[/C][C]8.41330794946537[/C][C]0.0229175084525115[/C][/ROW]
[ROW][C]0.05[/C][C]8.42437979975825[/C][C]0.0230646661244169[/C][/ROW]
[ROW][C]0.06[/C][C]8.43456740528635[/C][C]0.023674935176923[/C][/ROW]
[ROW][C]0.07[/C][C]8.44417618558256[/C][C]0.0250044987868773[/C][/ROW]
[ROW][C]0.08[/C][C]8.45349849138482[/C][C]0.0267502228407127[/C][/ROW]
[ROW][C]0.09[/C][C]8.46271598635319[/C][C]0.0284106039052635[/C][/ROW]
[ROW][C]0.1[/C][C]8.47187410548715[/C][C]0.0295947383149603[/C][/ROW]
[ROW][C]0.11[/C][C]8.48090952549462[/C][C]0.0301074713786015[/C][/ROW]
[ROW][C]0.12[/C][C]8.48970399221388[/C][C]0.0299325323690415[/C][/ROW]
[ROW][C]0.13[/C][C]8.49813991732156[/C][C]0.0292028964291513[/C][/ROW]
[ROW][C]0.14[/C][C]8.50614273142987[/C][C]0.0281996014673743[/C][/ROW]
[ROW][C]0.15[/C][C]8.51370415003772[/C][C]0.0272689975602112[/C][/ROW]
[ROW][C]0.16[/C][C]8.52088635504236[/C][C]0.0267606938675314[/C][/ROW]
[ROW][C]0.17[/C][C]8.52781039843244[/C][C]0.0269104686316165[/C][/ROW]
[ROW][C]0.18[/C][C]8.53463409024313[/C][C]0.0278543057693825[/C][/ROW]
[ROW][C]0.19[/C][C]8.54152556510456[/C][C]0.0295671291274026[/C][/ROW]
[ROW][C]0.2[/C][C]8.5486384641949[/C][C]0.0318714460550379[/C][/ROW]
[ROW][C]0.21[/C][C]8.55609324281488[/C][C]0.0345560331608454[/C][/ROW]
[ROW][C]0.22[/C][C]8.56396696010414[/C][C]0.0373816934364979[/C][/ROW]
[ROW][C]0.23[/C][C]8.57229168752001[/C][C]0.0401753636809911[/C][/ROW]
[ROW][C]0.24[/C][C]8.58105994835859[/C][C]0.0427574380360981[/C][/ROW]
[ROW][C]0.25[/C][C]8.59023464771364[/C][C]0.0450414889289948[/C][/ROW]
[ROW][C]0.26[/C][C]8.59976075948364[/C][C]0.0470090172077264[/C][/ROW]
[ROW][C]0.27[/C][C]8.60957641519859[/C][C]0.0486650082915325[/C][/ROW]
[ROW][C]0.28[/C][C]8.61962174443091[/C][C]0.0500388556464641[/C][/ROW]
[ROW][C]0.29[/C][C]8.62984462867752[/C][C]0.0512067148096202[/C][/ROW]
[ROW][C]0.3[/C][C]8.64020328364795[/C][C]0.0522086822135853[/C][/ROW]
[ROW][C]0.31[/C][C]8.65066616624784[/C][C]0.0530925267593928[/C][/ROW]
[ROW][C]0.32[/C][C]8.66121004770319[/C][C]0.0538887346168485[/C][/ROW]
[ROW][C]0.33[/C][C]8.67181718638911[/C][C]0.0546137096863169[/C][/ROW]
[ROW][C]0.34[/C][C]8.68247240547337[/C][C]0.0552456874626875[/C][/ROW]
[ROW][C]0.35[/C][C]8.69316060823521[/C][C]0.055770229499765[/C][/ROW]
[ROW][C]0.36[/C][C]8.70386495153783[/C][C]0.0561846656084014[/C][/ROW]
[ROW][C]0.37[/C][C]8.71456564794733[/C][C]0.0564545467306176[/C][/ROW]
[ROW][C]0.38[/C][C]8.72523925056194[/C][C]0.0565544695055308[/C][/ROW]
[ROW][C]0.39[/C][C]8.73585830992828[/C][C]0.0564938179657682[/C][/ROW]
[ROW][C]0.4[/C][C]8.74639143985792[/C][C]0.0562289027324231[/C][/ROW]
[ROW][C]0.41[/C][C]8.75680400541957[/C][C]0.0557369336228935[/C][/ROW]
[ROW][C]0.42[/C][C]8.76705975451792[/C][C]0.0550164048611269[/C][/ROW]
[ROW][C]0.43[/C][C]8.7771236775977[/C][C]0.0540590580404069[/C][/ROW]
[ROW][C]0.44[/C][C]8.78696617154567[/C][C]0.0528959273845268[/C][/ROW]
[ROW][C]0.45[/C][C]8.79656824165073[/C][C]0.0515774270310648[/C][/ROW]
[ROW][C]0.46[/C][C]8.80592709596162[/C][C]0.0502316409906344[/C][/ROW]
[ROW][C]0.47[/C][C]8.81506119962919[/C][C]0.0489929684860042[/C][/ROW]
[ROW][C]0.48[/C][C]8.82401378936769[/C][C]0.0479967159057341[/C][/ROW]
[ROW][C]0.49[/C][C]8.83285408410239[/C][C]0.0474673239069625[/C][/ROW]
[ROW][C]0.5[/C][C]8.84167597905338[/C][C]0.0475503999871794[/C][/ROW]
[ROW][C]0.51[/C][C]8.85059480368061[/C][C]0.0483434278644677[/C][/ROW]
[ROW][C]0.52[/C][C]8.85974360727588[/C][C]0.0499291117408531[/C][/ROW]
[ROW][C]0.53[/C][C]8.86927120240437[/C][C]0.0523402470180143[/C][/ROW]
[ROW][C]0.54[/C][C]8.87934461716118[/C][C]0.0556242788435121[/C][/ROW]
[ROW][C]0.55[/C][C]8.89015846983487[/C][C]0.0598399218134381[/C][/ROW]
[ROW][C]0.56[/C][C]8.90195292607812[/C][C]0.065243821214556[/C][/ROW]
[ROW][C]0.57[/C][C]8.91504026449455[/C][C]0.0722790693516523[/C][/ROW]
[ROW][C]0.58[/C][C]8.92983773207734[/C][C]0.0816234905099614[/C][/ROW]
[ROW][C]0.59[/C][C]8.94690156466201[/C][C]0.0942133666339802[/C][/ROW]
[ROW][C]0.6[/C][C]8.96695424000534[/C][C]0.111134902985122[/C][/ROW]
[ROW][C]0.61[/C][C]8.99089489612667[/C][C]0.13343180060098[/C][/ROW]
[ROW][C]0.62[/C][C]9.01978220791951[/C][C]0.161929659554124[/C][/ROW]
[ROW][C]0.63[/C][C]9.05478068334738[/C][C]0.19698842043495[/C][/ROW]
[ROW][C]0.64[/C][C]9.09706586204455[/C][C]0.238284288326467[/C][/ROW]
[ROW][C]0.65[/C][C]9.14769124089554[/C][C]0.284681750470487[/C][/ROW]
[ROW][C]0.66[/C][C]9.20742903768721[/C][C]0.334141169815579[/C][/ROW]
[ROW][C]0.67[/C][C]9.27660633788183[/C][C]0.383780331838078[/C][/ROW]
[ROW][C]0.68[/C][C]9.35496526411698[/C][C]0.430115610523381[/C][/ROW]
[ROW][C]0.69[/C][C]9.44157797591771[/C][C]0.469373264685872[/C][/ROW]
[ROW][C]0.7[/C][C]9.53484270850681[/C][C]0.498078990121191[/C][/ROW]
[ROW][C]0.71[/C][C]9.63257545365628[/C][C]0.513462709668007[/C][/ROW]
[ROW][C]0.72[/C][C]9.73219513203638[/C][C]0.514016395028549[/C][/ROW]
[ROW][C]0.73[/C][C]9.83098199798911[/C][C]0.499732113231366[/C][/ROW]
[ROW][C]0.74[/C][C]9.92637431600481[/C][C]0.472169211789496[/C][/ROW]
[ROW][C]0.75[/C][C]10.0162612142688[/C][C]0.434333789895625[/C][/ROW]
[ROW][C]0.76[/C][C]10.0992319473627[/C][C]0.39022638415594[/C][/ROW]
[ROW][C]0.77[/C][C]10.1747521486891[/C][C]0.344478169061552[/C][/ROW]
[ROW][C]0.78[/C][C]10.2432514282064[/C][C]0.301866038340392[/C][/ROW]
[ROW][C]0.79[/C][C]10.3061178122682[/C][C]0.26705014536614[/C][/ROW]
[ROW][C]0.8[/C][C]10.3655983852876[/C][C]0.244330183348343[/C][/ROW]
[ROW][C]0.81[/C][C]10.4246018963088[/C][C]0.237102809749882[/C][/ROW]
[ROW][C]0.82[/C][C]10.4863939665103[/C][C]0.246742359361392[/C][/ROW]
[ROW][C]0.83[/C][C]10.5541795527786[/C][C]0.271612460096075[/C][/ROW]
[ROW][C]0.84[/C][C]10.6305907686558[/C][C]0.307082629843987[/C][/ROW]
[ROW][C]0.85[/C][C]10.7171431346681[/C][C]0.346366749799503[/C][/ROW]
[ROW][C]0.86[/C][C]10.8137769761284[/C][C]0.38150972000074[/C][/ROW]
[ROW][C]0.87[/C][C]10.9186348837586[/C][C]0.40465886681286[/C][/ROW]
[ROW][C]0.88[/C][C]11.028207852221[/C][C]0.409683008216558[/C][/ROW]
[ROW][C]0.89[/C][C]11.1378937490642[/C][C]0.393780413368858[/C][/ROW]
[ROW][C]0.9[/C][C]11.2428686756162[/C][C]0.358452970145696[/C][/ROW]
[ROW][C]0.91[/C][C]11.3390307667921[/C][C]0.309189951206691[/C][/ROW]
[ROW][C]0.92[/C][C]11.4237127376133[/C][C]0.253814938865631[/C][/ROW]
[ROW][C]0.93[/C][C]11.4959295946643[/C][C]0.200041015074656[/C][/ROW]
[ROW][C]0.94[/C][C]11.5561295877509[/C][C]0.153133233547176[/C][/ROW]
[ROW][C]0.95[/C][C]11.6056724667788[/C][C]0.114826566377604[/C][/ROW]
[ROW][C]0.96[/C][C]11.6464054106496[/C][C]0.0841371934970502[/C][/ROW]
[ROW][C]0.97[/C][C]11.6804887927916[/C][C]0.0601374201964219[/C][/ROW]
[ROW][C]0.98[/C][C]11.7098923192372[/C][C]0.0453543142501151[/C][/ROW]
[ROW][C]0.99[/C][C]11.7345039432973[/C][C]0.0438692816307882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173033&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
0.018.377175204031990.0199376741731865
0.028.388622051515150.0212319077983193
0.038.401233133809890.0224837286679691
0.048.413307949465370.0229175084525115
0.058.424379799758250.0230646661244169
0.068.434567405286350.023674935176923
0.078.444176185582560.0250044987868773
0.088.453498491384820.0267502228407127
0.098.462715986353190.0284106039052635
0.18.471874105487150.0295947383149603
0.118.480909525494620.0301074713786015
0.128.489703992213880.0299325323690415
0.138.498139917321560.0292028964291513
0.148.506142731429870.0281996014673743
0.158.513704150037720.0272689975602112
0.168.520886355042360.0267606938675314
0.178.527810398432440.0269104686316165
0.188.534634090243130.0278543057693825
0.198.541525565104560.0295671291274026
0.28.54863846419490.0318714460550379
0.218.556093242814880.0345560331608454
0.228.563966960104140.0373816934364979
0.238.572291687520010.0401753636809911
0.248.581059948358590.0427574380360981
0.258.590234647713640.0450414889289948
0.268.599760759483640.0470090172077264
0.278.609576415198590.0486650082915325
0.288.619621744430910.0500388556464641
0.298.629844628677520.0512067148096202
0.38.640203283647950.0522086822135853
0.318.650666166247840.0530925267593928
0.328.661210047703190.0538887346168485
0.338.671817186389110.0546137096863169
0.348.682472405473370.0552456874626875
0.358.693160608235210.055770229499765
0.368.703864951537830.0561846656084014
0.378.714565647947330.0564545467306176
0.388.725239250561940.0565544695055308
0.398.735858309928280.0564938179657682
0.48.746391439857920.0562289027324231
0.418.756804005419570.0557369336228935
0.428.767059754517920.0550164048611269
0.438.77712367759770.0540590580404069
0.448.786966171545670.0528959273845268
0.458.796568241650730.0515774270310648
0.468.805927095961620.0502316409906344
0.478.815061199629190.0489929684860042
0.488.824013789367690.0479967159057341
0.498.832854084102390.0474673239069625
0.58.841675979053380.0475503999871794
0.518.850594803680610.0483434278644677
0.528.859743607275880.0499291117408531
0.538.869271202404370.0523402470180143
0.548.879344617161180.0556242788435121
0.558.890158469834870.0598399218134381
0.568.901952926078120.065243821214556
0.578.915040264494550.0722790693516523
0.588.929837732077340.0816234905099614
0.598.946901564662010.0942133666339802
0.68.966954240005340.111134902985122
0.618.990894896126670.13343180060098
0.629.019782207919510.161929659554124
0.639.054780683347380.19698842043495
0.649.097065862044550.238284288326467
0.659.147691240895540.284681750470487
0.669.207429037687210.334141169815579
0.679.276606337881830.383780331838078
0.689.354965264116980.430115610523381
0.699.441577975917710.469373264685872
0.79.534842708506810.498078990121191
0.719.632575453656280.513462709668007
0.729.732195132036380.514016395028549
0.739.830981997989110.499732113231366
0.749.926374316004810.472169211789496
0.7510.01626121426880.434333789895625
0.7610.09923194736270.39022638415594
0.7710.17475214868910.344478169061552
0.7810.24325142820640.301866038340392
0.7910.30611781226820.26705014536614
0.810.36559838528760.244330183348343
0.8110.42460189630880.237102809749882
0.8210.48639396651030.246742359361392
0.8310.55417955277860.271612460096075
0.8410.63059076865580.307082629843987
0.8510.71714313466810.346366749799503
0.8610.81377697612840.38150972000074
0.8710.91863488375860.40465886681286
0.8811.0282078522210.409683008216558
0.8911.13789374906420.393780413368858
0.911.24286867561620.358452970145696
0.9111.33903076679210.309189951206691
0.9211.42371273761330.253814938865631
0.9311.49592959466430.200041015074656
0.9411.55612958775090.153133233547176
0.9511.60567246677880.114826566377604
0.9611.64640541064960.0841371934970502
0.9711.68048879279160.0601374201964219
0.9811.70989231923720.0453543142501151
0.9911.73450394329730.0438692816307882


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')