FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 00:20:14 -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/Oct/20/t1224483717cltgmpldg5e4qnw.htm/, Retrieved Sun, 19 May 2024 16:31:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17154, Retrieved Sun, 19 May 2024 16:31:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact220

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Harrell-Davis Quantiles] [Industrial produc...] [2008-10-20 05:47:56] [57fa5e3679c393aa19449b2f1be9928b]
F   PD      [Harrell-Davis Quantiles] [Schatting Industr...] [2008-10-20 06:20:14] [270782e2502ae87124d0ebdcd1862d6a] [Current]
-   PD        [Harrell-Davis Quantiles] [probability indus...] [2008-10-20 16:00:54] [a4ee3bef49b119f4bd2e925060c84f5e]
F   P           [Harrell-Davis Quantiles] [probability indus...] [2008-10-20 16:16:43] [a4ee3bef49b119f4bd2e925060c84f5e]
Feedback Forum
2008-10-24 16:43:15 [Kenny Simons] [reply] 
Om hier p te kunnen schatten, mocht je je reeks niet uitbreiden met de nieuwe gegevens. Als je nu via de Harrell-Davis Quantiles de step size zeer laag zet (bvb. 0,00005), moet je zoeken naar de waarde van 122,4. Je zal zien dat je er nooit zal geraken, bijgevolg is de kans dat 122,4 voorkomt, zeer klein om niet te zeggen onbestaande.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110,40
96,40
101,90
106,20
81,00
94,70
101,00
109,40
102,30
90,70
96,20
96,10
106,00
103,10
102,00
104,70
86,00
92,10
106,90
112,60
101,70
92,00
97,40
97,00
105,40
102,70
98,10
104,50
87,40
89,90
109,80
111,70
98,60
96,90
95,10
97,00
112,70
102,90
97,40
111,40
87,40
96,80
114,10
110,30
103,90
101,60
94,60
95,90
104,70
102,80
98,10
113,90
80,90
95,70
113,20
105,90
108,80
102,30
99,00
100,70
115,50
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17154&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17154&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 time8 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.9114.5079161628660.95902820441781
0.901114.5422273387120.963002660336558
0.902114.5768312787470.966875435138235
0.903114.6117290995780.970718046428965
0.904114.6469217849950.974478097339422
0.905114.6824101856440.978151027495129
0.906114.7181950191830.981759288387304
0.907114.7542768710840.985348618190612
0.908114.7906561962750.988767785678234
0.909114.8273333218280.992133663041804
0.91114.8643084509290.9954030879814
0.911114.9015816684110.9985845697617
0.912114.9391529481251.00167901472921
0.913114.9770221625031.00460730310666
0.914115.0151890946551.00741954373455
0.915115.0536534534021.01017065022206
0.916115.0924148916891.01275909558648
0.917115.1314730288311.01515784727780
0.918115.1708274771151.01749655309470
0.919115.2104778732991.01965645644673
0.92115.2504239156081.02164171664621
0.921115.2906654068411.02344805813022
0.922115.3312023042831.02510052971463
0.923115.3720347771171.02657234094135
0.924115.4131632721001.02788825340096
0.925115.4545885883031.02901008974997
0.926115.4963119617291.02992783473192
0.927115.5383351607021.03064024551731
0.928115.5806605929111.03116088653481
0.929115.6232914250421.03144658746459
0.93115.6662317159561.03155943245731
0.931115.7094865643821.03145124563489
0.932115.7530622720941.03112919812650
0.933115.7969665235601.03059094323976
0.934115.8412085830101.02986402826323
0.935115.8857995098571.02891794415892
0.936115.9307523933611.02775366904513
0.937115.9760826073191.02647755744964
0.938116.0218080855211.02498727083531
0.939116.0679496185221.02338259453341
0.94116.1145311721631.02161904904118
0.941116.1615802280261.01977559595920
0.942116.2091281457571.01784342200624
0.943116.2572105468701.01591039648616
0.944116.3058677192451.01395723631397
0.945116.3551450410501.01208356005281
0.946116.4050934222711.01031746353459
0.947116.4557697613411.00870469247926
0.948116.5072374135951.00735305894131
0.949116.5595666673401.00634571458407
0.95116.6128352223011.00572418987347
0.951116.6671286639681.00561974915789
0.952116.7225409260081.00609673880428
0.953116.7791747313601.00733987850911
0.954116.8371420008831.00944893748675
0.955116.8965642165431.01250883290608
0.956116.9575727240011.01672734270951
0.957117.0203089572321.02219732374024
0.958117.0849245653641.02915552752625
0.959117.1515814194201.03771221495865
0.96117.2204514740041.04804614080601
0.961117.2917164563641.06035849565039
0.962117.3655673526481.07479820550199
0.963117.4422036587551.09157394913302
0.964117.5218323610011.11085882965714
0.965117.6046666100161.13281824257310
0.966117.6909240501171.15762813248134
0.967117.7808247658971.18545307198619
0.968117.8745888083141.21646129922946
0.969117.9724332642641.25077316246269
0.97118.0745688368231.28856199434925
0.971118.1811959083031.32988742186094
0.972118.2925000652211.37493173816301
0.973118.4086470736701.42373566401879
0.974118.5297773054691.47639293484281
0.975118.6559996303631.53295506660069
0.976118.7873848074381.59347049502374
0.977118.9239584301251.65790000844575
0.978119.0656935036881.72626466995345
0.979119.2125027618491.79850184960981
0.98119.3642308600871.87449852772949
0.981119.5206466166881.95412379814195
0.982119.6814355082972.03721337126544
0.983119.8461926636662.12350064774674
0.984120.0144166364092.21271815458692
0.985120.1855042734112.30449023017499
0.986120.3587470284512.39839896956855
0.987120.5333290983942.49396336436639
0.988120.7083277797052.59061995244058
0.989120.8827164532902.68774791318873
0.99121.0553706028572.78463226575872
0.991121.2250772529732.88054832557518
0.992121.3905481745872.97466682644375
0.993121.5504371448783.06614069742118
0.994121.7033614619353.15409166008518
0.995121.8479278005853.2376256650417
0.996121.9827623519463.3158565319335
0.997122.1065450151663.38791701248498
0.998122.2180472060613.45302281846182
0.999122.3161726160183.5104310716265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.9 & 114.507916162866 & 0.95902820441781 \tabularnewline
0.901 & 114.542227338712 & 0.963002660336558 \tabularnewline
0.902 & 114.576831278747 & 0.966875435138235 \tabularnewline
0.903 & 114.611729099578 & 0.970718046428965 \tabularnewline
0.904 & 114.646921784995 & 0.974478097339422 \tabularnewline
0.905 & 114.682410185644 & 0.978151027495129 \tabularnewline
0.906 & 114.718195019183 & 0.981759288387304 \tabularnewline
0.907 & 114.754276871084 & 0.985348618190612 \tabularnewline
0.908 & 114.790656196275 & 0.988767785678234 \tabularnewline
0.909 & 114.827333321828 & 0.992133663041804 \tabularnewline
0.91 & 114.864308450929 & 0.9954030879814 \tabularnewline
0.911 & 114.901581668411 & 0.9985845697617 \tabularnewline
0.912 & 114.939152948125 & 1.00167901472921 \tabularnewline
0.913 & 114.977022162503 & 1.00460730310666 \tabularnewline
0.914 & 115.015189094655 & 1.00741954373455 \tabularnewline
0.915 & 115.053653453402 & 1.01017065022206 \tabularnewline
0.916 & 115.092414891689 & 1.01275909558648 \tabularnewline
0.917 & 115.131473028831 & 1.01515784727780 \tabularnewline
0.918 & 115.170827477115 & 1.01749655309470 \tabularnewline
0.919 & 115.210477873299 & 1.01965645644673 \tabularnewline
0.92 & 115.250423915608 & 1.02164171664621 \tabularnewline
0.921 & 115.290665406841 & 1.02344805813022 \tabularnewline
0.922 & 115.331202304283 & 1.02510052971463 \tabularnewline
0.923 & 115.372034777117 & 1.02657234094135 \tabularnewline
0.924 & 115.413163272100 & 1.02788825340096 \tabularnewline
0.925 & 115.454588588303 & 1.02901008974997 \tabularnewline
0.926 & 115.496311961729 & 1.02992783473192 \tabularnewline
0.927 & 115.538335160702 & 1.03064024551731 \tabularnewline
0.928 & 115.580660592911 & 1.03116088653481 \tabularnewline
0.929 & 115.623291425042 & 1.03144658746459 \tabularnewline
0.93 & 115.666231715956 & 1.03155943245731 \tabularnewline
0.931 & 115.709486564382 & 1.03145124563489 \tabularnewline
0.932 & 115.753062272094 & 1.03112919812650 \tabularnewline
0.933 & 115.796966523560 & 1.03059094323976 \tabularnewline
0.934 & 115.841208583010 & 1.02986402826323 \tabularnewline
0.935 & 115.885799509857 & 1.02891794415892 \tabularnewline
0.936 & 115.930752393361 & 1.02775366904513 \tabularnewline
0.937 & 115.976082607319 & 1.02647755744964 \tabularnewline
0.938 & 116.021808085521 & 1.02498727083531 \tabularnewline
0.939 & 116.067949618522 & 1.02338259453341 \tabularnewline
0.94 & 116.114531172163 & 1.02161904904118 \tabularnewline
0.941 & 116.161580228026 & 1.01977559595920 \tabularnewline
0.942 & 116.209128145757 & 1.01784342200624 \tabularnewline
0.943 & 116.257210546870 & 1.01591039648616 \tabularnewline
0.944 & 116.305867719245 & 1.01395723631397 \tabularnewline
0.945 & 116.355145041050 & 1.01208356005281 \tabularnewline
0.946 & 116.405093422271 & 1.01031746353459 \tabularnewline
0.947 & 116.455769761341 & 1.00870469247926 \tabularnewline
0.948 & 116.507237413595 & 1.00735305894131 \tabularnewline
0.949 & 116.559566667340 & 1.00634571458407 \tabularnewline
0.95 & 116.612835222301 & 1.00572418987347 \tabularnewline
0.951 & 116.667128663968 & 1.00561974915789 \tabularnewline
0.952 & 116.722540926008 & 1.00609673880428 \tabularnewline
0.953 & 116.779174731360 & 1.00733987850911 \tabularnewline
0.954 & 116.837142000883 & 1.00944893748675 \tabularnewline
0.955 & 116.896564216543 & 1.01250883290608 \tabularnewline
0.956 & 116.957572724001 & 1.01672734270951 \tabularnewline
0.957 & 117.020308957232 & 1.02219732374024 \tabularnewline
0.958 & 117.084924565364 & 1.02915552752625 \tabularnewline
0.959 & 117.151581419420 & 1.03771221495865 \tabularnewline
0.96 & 117.220451474004 & 1.04804614080601 \tabularnewline
0.961 & 117.291716456364 & 1.06035849565039 \tabularnewline
0.962 & 117.365567352648 & 1.07479820550199 \tabularnewline
0.963 & 117.442203658755 & 1.09157394913302 \tabularnewline
0.964 & 117.521832361001 & 1.11085882965714 \tabularnewline
0.965 & 117.604666610016 & 1.13281824257310 \tabularnewline
0.966 & 117.690924050117 & 1.15762813248134 \tabularnewline
0.967 & 117.780824765897 & 1.18545307198619 \tabularnewline
0.968 & 117.874588808314 & 1.21646129922946 \tabularnewline
0.969 & 117.972433264264 & 1.25077316246269 \tabularnewline
0.97 & 118.074568836823 & 1.28856199434925 \tabularnewline
0.971 & 118.181195908303 & 1.32988742186094 \tabularnewline
0.972 & 118.292500065221 & 1.37493173816301 \tabularnewline
0.973 & 118.408647073670 & 1.42373566401879 \tabularnewline
0.974 & 118.529777305469 & 1.47639293484281 \tabularnewline
0.975 & 118.655999630363 & 1.53295506660069 \tabularnewline
0.976 & 118.787384807438 & 1.59347049502374 \tabularnewline
0.977 & 118.923958430125 & 1.65790000844575 \tabularnewline
0.978 & 119.065693503688 & 1.72626466995345 \tabularnewline
0.979 & 119.212502761849 & 1.79850184960981 \tabularnewline
0.98 & 119.364230860087 & 1.87449852772949 \tabularnewline
0.981 & 119.520646616688 & 1.95412379814195 \tabularnewline
0.982 & 119.681435508297 & 2.03721337126544 \tabularnewline
0.983 & 119.846192663666 & 2.12350064774674 \tabularnewline
0.984 & 120.014416636409 & 2.21271815458692 \tabularnewline
0.985 & 120.185504273411 & 2.30449023017499 \tabularnewline
0.986 & 120.358747028451 & 2.39839896956855 \tabularnewline
0.987 & 120.533329098394 & 2.49396336436639 \tabularnewline
0.988 & 120.708327779705 & 2.59061995244058 \tabularnewline
0.989 & 120.882716453290 & 2.68774791318873 \tabularnewline
0.99 & 121.055370602857 & 2.78463226575872 \tabularnewline
0.991 & 121.225077252973 & 2.88054832557518 \tabularnewline
0.992 & 121.390548174587 & 2.97466682644375 \tabularnewline
0.993 & 121.550437144878 & 3.06614069742118 \tabularnewline
0.994 & 121.703361461935 & 3.15409166008518 \tabularnewline
0.995 & 121.847927800585 & 3.2376256650417 \tabularnewline
0.996 & 121.982762351946 & 3.3158565319335 \tabularnewline
0.997 & 122.106545015166 & 3.38791701248498 \tabularnewline
0.998 & 122.218047206061 & 3.45302281846182 \tabularnewline
0.999 & 122.316172616018 & 3.5104310716265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17154&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.9[/C][C]114.507916162866[/C][C]0.95902820441781[/C][/ROW]
[ROW][C]0.901[/C][C]114.542227338712[/C][C]0.963002660336558[/C][/ROW]
[ROW][C]0.902[/C][C]114.576831278747[/C][C]0.966875435138235[/C][/ROW]
[ROW][C]0.903[/C][C]114.611729099578[/C][C]0.970718046428965[/C][/ROW]
[ROW][C]0.904[/C][C]114.646921784995[/C][C]0.974478097339422[/C][/ROW]
[ROW][C]0.905[/C][C]114.682410185644[/C][C]0.978151027495129[/C][/ROW]
[ROW][C]0.906[/C][C]114.718195019183[/C][C]0.981759288387304[/C][/ROW]
[ROW][C]0.907[/C][C]114.754276871084[/C][C]0.985348618190612[/C][/ROW]
[ROW][C]0.908[/C][C]114.790656196275[/C][C]0.988767785678234[/C][/ROW]
[ROW][C]0.909[/C][C]114.827333321828[/C][C]0.992133663041804[/C][/ROW]
[ROW][C]0.91[/C][C]114.864308450929[/C][C]0.9954030879814[/C][/ROW]
[ROW][C]0.911[/C][C]114.901581668411[/C][C]0.9985845697617[/C][/ROW]
[ROW][C]0.912[/C][C]114.939152948125[/C][C]1.00167901472921[/C][/ROW]
[ROW][C]0.913[/C][C]114.977022162503[/C][C]1.00460730310666[/C][/ROW]
[ROW][C]0.914[/C][C]115.015189094655[/C][C]1.00741954373455[/C][/ROW]
[ROW][C]0.915[/C][C]115.053653453402[/C][C]1.01017065022206[/C][/ROW]
[ROW][C]0.916[/C][C]115.092414891689[/C][C]1.01275909558648[/C][/ROW]
[ROW][C]0.917[/C][C]115.131473028831[/C][C]1.01515784727780[/C][/ROW]
[ROW][C]0.918[/C][C]115.170827477115[/C][C]1.01749655309470[/C][/ROW]
[ROW][C]0.919[/C][C]115.210477873299[/C][C]1.01965645644673[/C][/ROW]
[ROW][C]0.92[/C][C]115.250423915608[/C][C]1.02164171664621[/C][/ROW]
[ROW][C]0.921[/C][C]115.290665406841[/C][C]1.02344805813022[/C][/ROW]
[ROW][C]0.922[/C][C]115.331202304283[/C][C]1.02510052971463[/C][/ROW]
[ROW][C]0.923[/C][C]115.372034777117[/C][C]1.02657234094135[/C][/ROW]
[ROW][C]0.924[/C][C]115.413163272100[/C][C]1.02788825340096[/C][/ROW]
[ROW][C]0.925[/C][C]115.454588588303[/C][C]1.02901008974997[/C][/ROW]
[ROW][C]0.926[/C][C]115.496311961729[/C][C]1.02992783473192[/C][/ROW]
[ROW][C]0.927[/C][C]115.538335160702[/C][C]1.03064024551731[/C][/ROW]
[ROW][C]0.928[/C][C]115.580660592911[/C][C]1.03116088653481[/C][/ROW]
[ROW][C]0.929[/C][C]115.623291425042[/C][C]1.03144658746459[/C][/ROW]
[ROW][C]0.93[/C][C]115.666231715956[/C][C]1.03155943245731[/C][/ROW]
[ROW][C]0.931[/C][C]115.709486564382[/C][C]1.03145124563489[/C][/ROW]
[ROW][C]0.932[/C][C]115.753062272094[/C][C]1.03112919812650[/C][/ROW]
[ROW][C]0.933[/C][C]115.796966523560[/C][C]1.03059094323976[/C][/ROW]
[ROW][C]0.934[/C][C]115.841208583010[/C][C]1.02986402826323[/C][/ROW]
[ROW][C]0.935[/C][C]115.885799509857[/C][C]1.02891794415892[/C][/ROW]
[ROW][C]0.936[/C][C]115.930752393361[/C][C]1.02775366904513[/C][/ROW]
[ROW][C]0.937[/C][C]115.976082607319[/C][C]1.02647755744964[/C][/ROW]
[ROW][C]0.938[/C][C]116.021808085521[/C][C]1.02498727083531[/C][/ROW]
[ROW][C]0.939[/C][C]116.067949618522[/C][C]1.02338259453341[/C][/ROW]
[ROW][C]0.94[/C][C]116.114531172163[/C][C]1.02161904904118[/C][/ROW]
[ROW][C]0.941[/C][C]116.161580228026[/C][C]1.01977559595920[/C][/ROW]
[ROW][C]0.942[/C][C]116.209128145757[/C][C]1.01784342200624[/C][/ROW]
[ROW][C]0.943[/C][C]116.257210546870[/C][C]1.01591039648616[/C][/ROW]
[ROW][C]0.944[/C][C]116.305867719245[/C][C]1.01395723631397[/C][/ROW]
[ROW][C]0.945[/C][C]116.355145041050[/C][C]1.01208356005281[/C][/ROW]
[ROW][C]0.946[/C][C]116.405093422271[/C][C]1.01031746353459[/C][/ROW]
[ROW][C]0.947[/C][C]116.455769761341[/C][C]1.00870469247926[/C][/ROW]
[ROW][C]0.948[/C][C]116.507237413595[/C][C]1.00735305894131[/C][/ROW]
[ROW][C]0.949[/C][C]116.559566667340[/C][C]1.00634571458407[/C][/ROW]
[ROW][C]0.95[/C][C]116.612835222301[/C][C]1.00572418987347[/C][/ROW]
[ROW][C]0.951[/C][C]116.667128663968[/C][C]1.00561974915789[/C][/ROW]
[ROW][C]0.952[/C][C]116.722540926008[/C][C]1.00609673880428[/C][/ROW]
[ROW][C]0.953[/C][C]116.779174731360[/C][C]1.00733987850911[/C][/ROW]
[ROW][C]0.954[/C][C]116.837142000883[/C][C]1.00944893748675[/C][/ROW]
[ROW][C]0.955[/C][C]116.896564216543[/C][C]1.01250883290608[/C][/ROW]
[ROW][C]0.956[/C][C]116.957572724001[/C][C]1.01672734270951[/C][/ROW]
[ROW][C]0.957[/C][C]117.020308957232[/C][C]1.02219732374024[/C][/ROW]
[ROW][C]0.958[/C][C]117.084924565364[/C][C]1.02915552752625[/C][/ROW]
[ROW][C]0.959[/C][C]117.151581419420[/C][C]1.03771221495865[/C][/ROW]
[ROW][C]0.96[/C][C]117.220451474004[/C][C]1.04804614080601[/C][/ROW]
[ROW][C]0.961[/C][C]117.291716456364[/C][C]1.06035849565039[/C][/ROW]
[ROW][C]0.962[/C][C]117.365567352648[/C][C]1.07479820550199[/C][/ROW]
[ROW][C]0.963[/C][C]117.442203658755[/C][C]1.09157394913302[/C][/ROW]
[ROW][C]0.964[/C][C]117.521832361001[/C][C]1.11085882965714[/C][/ROW]
[ROW][C]0.965[/C][C]117.604666610016[/C][C]1.13281824257310[/C][/ROW]
[ROW][C]0.966[/C][C]117.690924050117[/C][C]1.15762813248134[/C][/ROW]
[ROW][C]0.967[/C][C]117.780824765897[/C][C]1.18545307198619[/C][/ROW]
[ROW][C]0.968[/C][C]117.874588808314[/C][C]1.21646129922946[/C][/ROW]
[ROW][C]0.969[/C][C]117.972433264264[/C][C]1.25077316246269[/C][/ROW]
[ROW][C]0.97[/C][C]118.074568836823[/C][C]1.28856199434925[/C][/ROW]
[ROW][C]0.971[/C][C]118.181195908303[/C][C]1.32988742186094[/C][/ROW]
[ROW][C]0.972[/C][C]118.292500065221[/C][C]1.37493173816301[/C][/ROW]
[ROW][C]0.973[/C][C]118.408647073670[/C][C]1.42373566401879[/C][/ROW]
[ROW][C]0.974[/C][C]118.529777305469[/C][C]1.47639293484281[/C][/ROW]
[ROW][C]0.975[/C][C]118.655999630363[/C][C]1.53295506660069[/C][/ROW]
[ROW][C]0.976[/C][C]118.787384807438[/C][C]1.59347049502374[/C][/ROW]
[ROW][C]0.977[/C][C]118.923958430125[/C][C]1.65790000844575[/C][/ROW]
[ROW][C]0.978[/C][C]119.065693503688[/C][C]1.72626466995345[/C][/ROW]
[ROW][C]0.979[/C][C]119.212502761849[/C][C]1.79850184960981[/C][/ROW]
[ROW][C]0.98[/C][C]119.364230860087[/C][C]1.87449852772949[/C][/ROW]
[ROW][C]0.981[/C][C]119.520646616688[/C][C]1.95412379814195[/C][/ROW]
[ROW][C]0.982[/C][C]119.681435508297[/C][C]2.03721337126544[/C][/ROW]
[ROW][C]0.983[/C][C]119.846192663666[/C][C]2.12350064774674[/C][/ROW]
[ROW][C]0.984[/C][C]120.014416636409[/C][C]2.21271815458692[/C][/ROW]
[ROW][C]0.985[/C][C]120.185504273411[/C][C]2.30449023017499[/C][/ROW]
[ROW][C]0.986[/C][C]120.358747028451[/C][C]2.39839896956855[/C][/ROW]
[ROW][C]0.987[/C][C]120.533329098394[/C][C]2.49396336436639[/C][/ROW]
[ROW][C]0.988[/C][C]120.708327779705[/C][C]2.59061995244058[/C][/ROW]
[ROW][C]0.989[/C][C]120.882716453290[/C][C]2.68774791318873[/C][/ROW]
[ROW][C]0.99[/C][C]121.055370602857[/C][C]2.78463226575872[/C][/ROW]
[ROW][C]0.991[/C][C]121.225077252973[/C][C]2.88054832557518[/C][/ROW]
[ROW][C]0.992[/C][C]121.390548174587[/C][C]2.97466682644375[/C][/ROW]
[ROW][C]0.993[/C][C]121.550437144878[/C][C]3.06614069742118[/C][/ROW]
[ROW][C]0.994[/C][C]121.703361461935[/C][C]3.15409166008518[/C][/ROW]
[ROW][C]0.995[/C][C]121.847927800585[/C][C]3.2376256650417[/C][/ROW]
[ROW][C]0.996[/C][C]121.982762351946[/C][C]3.3158565319335[/C][/ROW]
[ROW][C]0.997[/C][C]122.106545015166[/C][C]3.38791701248498[/C][/ROW]
[ROW][C]0.998[/C][C]122.218047206061[/C][C]3.45302281846182[/C][/ROW]
[ROW][C]0.999[/C][C]122.316172616018[/C][C]3.5104310716265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17154&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
0.9114.5079161628660.95902820441781
0.901114.5422273387120.963002660336558
0.902114.5768312787470.966875435138235
0.903114.6117290995780.970718046428965
0.904114.6469217849950.974478097339422
0.905114.6824101856440.978151027495129
0.906114.7181950191830.981759288387304
0.907114.7542768710840.985348618190612
0.908114.7906561962750.988767785678234
0.909114.8273333218280.992133663041804
0.91114.8643084509290.9954030879814
0.911114.9015816684110.9985845697617
0.912114.9391529481251.00167901472921
0.913114.9770221625031.00460730310666
0.914115.0151890946551.00741954373455
0.915115.0536534534021.01017065022206
0.916115.0924148916891.01275909558648
0.917115.1314730288311.01515784727780
0.918115.1708274771151.01749655309470
0.919115.2104778732991.01965645644673
0.92115.2504239156081.02164171664621
0.921115.2906654068411.02344805813022
0.922115.3312023042831.02510052971463
0.923115.3720347771171.02657234094135
0.924115.4131632721001.02788825340096
0.925115.4545885883031.02901008974997
0.926115.4963119617291.02992783473192
0.927115.5383351607021.03064024551731
0.928115.5806605929111.03116088653481
0.929115.6232914250421.03144658746459
0.93115.6662317159561.03155943245731
0.931115.7094865643821.03145124563489
0.932115.7530622720941.03112919812650
0.933115.7969665235601.03059094323976
0.934115.8412085830101.02986402826323
0.935115.8857995098571.02891794415892
0.936115.9307523933611.02775366904513
0.937115.9760826073191.02647755744964
0.938116.0218080855211.02498727083531
0.939116.0679496185221.02338259453341
0.94116.1145311721631.02161904904118
0.941116.1615802280261.01977559595920
0.942116.2091281457571.01784342200624
0.943116.2572105468701.01591039648616
0.944116.3058677192451.01395723631397
0.945116.3551450410501.01208356005281
0.946116.4050934222711.01031746353459
0.947116.4557697613411.00870469247926
0.948116.5072374135951.00735305894131
0.949116.5595666673401.00634571458407
0.95116.6128352223011.00572418987347
0.951116.6671286639681.00561974915789
0.952116.7225409260081.00609673880428
0.953116.7791747313601.00733987850911
0.954116.8371420008831.00944893748675
0.955116.8965642165431.01250883290608
0.956116.9575727240011.01672734270951
0.957117.0203089572321.02219732374024
0.958117.0849245653641.02915552752625
0.959117.1515814194201.03771221495865
0.96117.2204514740041.04804614080601
0.961117.2917164563641.06035849565039
0.962117.3655673526481.07479820550199
0.963117.4422036587551.09157394913302
0.964117.5218323610011.11085882965714
0.965117.6046666100161.13281824257310
0.966117.6909240501171.15762813248134
0.967117.7808247658971.18545307198619
0.968117.8745888083141.21646129922946
0.969117.9724332642641.25077316246269
0.97118.0745688368231.28856199434925
0.971118.1811959083031.32988742186094
0.972118.2925000652211.37493173816301
0.973118.4086470736701.42373566401879
0.974118.5297773054691.47639293484281
0.975118.6559996303631.53295506660069
0.976118.7873848074381.59347049502374
0.977118.9239584301251.65790000844575
0.978119.0656935036881.72626466995345
0.979119.2125027618491.79850184960981
0.98119.3642308600871.87449852772949
0.981119.5206466166881.95412379814195
0.982119.6814355082972.03721337126544
0.983119.8461926636662.12350064774674
0.984120.0144166364092.21271815458692
0.985120.1855042734112.30449023017499
0.986120.3587470284512.39839896956855
0.987120.5333290983942.49396336436639
0.988120.7083277797052.59061995244058
0.989120.8827164532902.68774791318873
0.99121.0553706028572.78463226575872
0.991121.2250772529732.88054832557518
0.992121.3905481745872.97466682644375
0.993121.5504371448783.06614069742118
0.994121.7033614619353.15409166008518
0.995121.8479278005853.2376256650417
0.996121.9827623519463.3158565319335
0.997122.1065450151663.38791701248498
0.998122.2180472060613.45302281846182
0.999122.3161726160183.5104310716265


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.9 ; par2 = 0.999 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.9 ; par2 = 0.999 ; par3 = 0.001 ;
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')