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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 computationWed, 22 Feb 2012 15:56:38 -0500
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/Feb/22/t13299442867emt715t42avr6s.htm/, Retrieved Mon, 06 May 2024 14:57:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163210, Retrieved Mon, 06 May 2024 14:57:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact57

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] [Grafiek van de ge...] [2012-02-22 20:56:38] [bc260e3c602952c552b9bde15a0b19a6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,72
7,67
7,84
7,79
7,83
7,94
8,02
8,06
8,12
8,13
7,97
8,01
8
7,9
7,99
8,02
8,08
8,02
8,07
8,11
8,19
8,16
8,08
8,22
8,15
8,19
8,31
8,3
8,34
8,31
8,38
8,34
8,44
8,64
8,6
8,61
8,54
8,69
8,73
8,91
9,01
9,08
8,94
9,03
9,02
8,96
9,03
8,94
8,95
8,95
8,99
8,93
8,98
8,95
9,02
8,92
9,1
9,06
8,97
8,89
8,99
8,79
8,83
8,61
8,71
8,91
8,91
8,89
8,98
9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.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 & 1 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163210&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163210&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 time1 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.688523845153580.0530357921380846
0.027.71870288093290.0591634845307627
0.037.752645162141340.0627303702276425
0.047.7854994445720.0632812388865199
0.057.815661976672740.0634283653271203
0.067.843196336576280.0643845489367551
0.077.868588099254740.0653135330750789
0.087.89214991043220.0648939542109653
0.097.913898614483910.062476427359147
0.17.933676532374640.0582253321547635
0.117.951329833144380.0528613549489939
0.127.966833684791150.0472604038399857
0.137.980332559814550.0421999409378224
0.147.992113937277960.0382230899262403
0.158.002549461264440.0356233678734106
0.168.01203215409070.0344294391054241
0.178.020926139530630.0344501947124709
0.188.029534928863340.0353836304544966
0.198.038087978723420.0368897224567638
0.28.046742159288770.0387028116778425
0.218.05559358859760.0406302436490128
0.228.06469508908330.0425799311289654
0.238.074074939910510.0445545505311354
0.248.083753495693710.0466067429747474
0.258.093755458258240.0488177771606521
0.268.104116880426820.0513060736013284
0.278.114887098973310.0541211790693676
0.288.126126576895620.0573385328482268
0.298.13790205167930.0609617973323731
0.38.150280502807220.0649547378106282
0.318.163323363129870.0692789215967648
0.328.177082168351540.0738344395025624
0.338.191596481980770.0785394045168039
0.348.206894443379650.0833307413122195
0.358.222995684117840.0881580133722856
0.368.239915725649160.0930140768505157
0.378.25767045646510.0979523662635534
0.388.27627906123870.10302212833698
0.398.295763969443170.108283931368621
0.48.316147033298110.113744364251284
0.418.337442122387070.119344149297116
0.428.359645396661680.124925228735665
0.438.382725387551090.130272246541793
0.448.406615401109560.135113217344465
0.458.431210496710890.13915358472647
0.468.456370404784550.142176958292441
0.478.481928424964730.144022781035964
0.488.50770492162770.144673518944044
0.498.533522877795260.144198061514897
0.58.559222387902920.142793382890144
0.518.584671123443230.140685844668875
0.528.609768661814880.138140563405891
0.538.63444391995680.135347631634315
0.548.658646455765840.132438464895133
0.558.682333736759050.129427867458979
0.568.705457329072550.12622393231625
0.578.727951156248060.122650286099466
0.588.749724496462930.11852905014167
0.598.770661357007770.113661807676484
0.68.790626524249020.107937466424905
0.618.809477227613320.10133650546562
0.628.82707825912320.093935838298945
0.638.843317770785810.0858868245128795
0.648.858120937654570.0774854757130434
0.658.871459204520880.068991610146065
0.668.883353788824810.0607414195935767
0.678.893873264039610.0529979433883492
0.688.903126134356540.045969548645852
0.698.911250098022160.0398193623268722
0.78.918400031922410.0345991055521407
0.718.92473658283930.0303135481074279
0.728.930416715563680.026897125249355
0.738.935586835609150.0242673179467984
0.748.940378405175160.0223036388104202
0.758.944905505554570.0209167137763192
0.768.949263674701860.0199885060357444
0.778.953529543969750.0194082794966002
0.788.957761169022870.0190796084587228
0.798.961999279642130.0188793897315085
0.88.96626975486650.0187389238322217
0.818.970587359737730.0185985506505353
0.828.974960225388910.0184226362504452
0.838.979393966990490.0182187452277489
0.848.983894085493270.0180071428259618
0.858.988465741908330.0178006183298107
0.868.993111282562620.0175925979497496
0.878.99782782898160.0173444685152664
0.889.002609186921820.0169855866330576
0.899.00745721826550.0164957636093711
0.99.012406299293230.0159206148115133
0.919.017559197208390.0154655214957941
0.929.023123123015630.015484863649623
0.939.029423191399530.0164167288282689
0.949.036864739665780.0184183347954826
0.959.045827310002710.0210581415514349
0.969.056501171405570.023252805836099
0.979.068683581701540.0237839736353929
0.989.081487994894890.0223022752343496
0.999.092932771693580.0203273714281596

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.68852384515358 & 0.0530357921380846 \tabularnewline
0.02 & 7.7187028809329 & 0.0591634845307627 \tabularnewline
0.03 & 7.75264516214134 & 0.0627303702276425 \tabularnewline
0.04 & 7.785499444572 & 0.0632812388865199 \tabularnewline
0.05 & 7.81566197667274 & 0.0634283653271203 \tabularnewline
0.06 & 7.84319633657628 & 0.0643845489367551 \tabularnewline
0.07 & 7.86858809925474 & 0.0653135330750789 \tabularnewline
0.08 & 7.8921499104322 & 0.0648939542109653 \tabularnewline
0.09 & 7.91389861448391 & 0.062476427359147 \tabularnewline
0.1 & 7.93367653237464 & 0.0582253321547635 \tabularnewline
0.11 & 7.95132983314438 & 0.0528613549489939 \tabularnewline
0.12 & 7.96683368479115 & 0.0472604038399857 \tabularnewline
0.13 & 7.98033255981455 & 0.0421999409378224 \tabularnewline
0.14 & 7.99211393727796 & 0.0382230899262403 \tabularnewline
0.15 & 8.00254946126444 & 0.0356233678734106 \tabularnewline
0.16 & 8.0120321540907 & 0.0344294391054241 \tabularnewline
0.17 & 8.02092613953063 & 0.0344501947124709 \tabularnewline
0.18 & 8.02953492886334 & 0.0353836304544966 \tabularnewline
0.19 & 8.03808797872342 & 0.0368897224567638 \tabularnewline
0.2 & 8.04674215928877 & 0.0387028116778425 \tabularnewline
0.21 & 8.0555935885976 & 0.0406302436490128 \tabularnewline
0.22 & 8.0646950890833 & 0.0425799311289654 \tabularnewline
0.23 & 8.07407493991051 & 0.0445545505311354 \tabularnewline
0.24 & 8.08375349569371 & 0.0466067429747474 \tabularnewline
0.25 & 8.09375545825824 & 0.0488177771606521 \tabularnewline
0.26 & 8.10411688042682 & 0.0513060736013284 \tabularnewline
0.27 & 8.11488709897331 & 0.0541211790693676 \tabularnewline
0.28 & 8.12612657689562 & 0.0573385328482268 \tabularnewline
0.29 & 8.1379020516793 & 0.0609617973323731 \tabularnewline
0.3 & 8.15028050280722 & 0.0649547378106282 \tabularnewline
0.31 & 8.16332336312987 & 0.0692789215967648 \tabularnewline
0.32 & 8.17708216835154 & 0.0738344395025624 \tabularnewline
0.33 & 8.19159648198077 & 0.0785394045168039 \tabularnewline
0.34 & 8.20689444337965 & 0.0833307413122195 \tabularnewline
0.35 & 8.22299568411784 & 0.0881580133722856 \tabularnewline
0.36 & 8.23991572564916 & 0.0930140768505157 \tabularnewline
0.37 & 8.2576704564651 & 0.0979523662635534 \tabularnewline
0.38 & 8.2762790612387 & 0.10302212833698 \tabularnewline
0.39 & 8.29576396944317 & 0.108283931368621 \tabularnewline
0.4 & 8.31614703329811 & 0.113744364251284 \tabularnewline
0.41 & 8.33744212238707 & 0.119344149297116 \tabularnewline
0.42 & 8.35964539666168 & 0.124925228735665 \tabularnewline
0.43 & 8.38272538755109 & 0.130272246541793 \tabularnewline
0.44 & 8.40661540110956 & 0.135113217344465 \tabularnewline
0.45 & 8.43121049671089 & 0.13915358472647 \tabularnewline
0.46 & 8.45637040478455 & 0.142176958292441 \tabularnewline
0.47 & 8.48192842496473 & 0.144022781035964 \tabularnewline
0.48 & 8.5077049216277 & 0.144673518944044 \tabularnewline
0.49 & 8.53352287779526 & 0.144198061514897 \tabularnewline
0.5 & 8.55922238790292 & 0.142793382890144 \tabularnewline
0.51 & 8.58467112344323 & 0.140685844668875 \tabularnewline
0.52 & 8.60976866181488 & 0.138140563405891 \tabularnewline
0.53 & 8.6344439199568 & 0.135347631634315 \tabularnewline
0.54 & 8.65864645576584 & 0.132438464895133 \tabularnewline
0.55 & 8.68233373675905 & 0.129427867458979 \tabularnewline
0.56 & 8.70545732907255 & 0.12622393231625 \tabularnewline
0.57 & 8.72795115624806 & 0.122650286099466 \tabularnewline
0.58 & 8.74972449646293 & 0.11852905014167 \tabularnewline
0.59 & 8.77066135700777 & 0.113661807676484 \tabularnewline
0.6 & 8.79062652424902 & 0.107937466424905 \tabularnewline
0.61 & 8.80947722761332 & 0.10133650546562 \tabularnewline
0.62 & 8.8270782591232 & 0.093935838298945 \tabularnewline
0.63 & 8.84331777078581 & 0.0858868245128795 \tabularnewline
0.64 & 8.85812093765457 & 0.0774854757130434 \tabularnewline
0.65 & 8.87145920452088 & 0.068991610146065 \tabularnewline
0.66 & 8.88335378882481 & 0.0607414195935767 \tabularnewline
0.67 & 8.89387326403961 & 0.0529979433883492 \tabularnewline
0.68 & 8.90312613435654 & 0.045969548645852 \tabularnewline
0.69 & 8.91125009802216 & 0.0398193623268722 \tabularnewline
0.7 & 8.91840003192241 & 0.0345991055521407 \tabularnewline
0.71 & 8.9247365828393 & 0.0303135481074279 \tabularnewline
0.72 & 8.93041671556368 & 0.026897125249355 \tabularnewline
0.73 & 8.93558683560915 & 0.0242673179467984 \tabularnewline
0.74 & 8.94037840517516 & 0.0223036388104202 \tabularnewline
0.75 & 8.94490550555457 & 0.0209167137763192 \tabularnewline
0.76 & 8.94926367470186 & 0.0199885060357444 \tabularnewline
0.77 & 8.95352954396975 & 0.0194082794966002 \tabularnewline
0.78 & 8.95776116902287 & 0.0190796084587228 \tabularnewline
0.79 & 8.96199927964213 & 0.0188793897315085 \tabularnewline
0.8 & 8.9662697548665 & 0.0187389238322217 \tabularnewline
0.81 & 8.97058735973773 & 0.0185985506505353 \tabularnewline
0.82 & 8.97496022538891 & 0.0184226362504452 \tabularnewline
0.83 & 8.97939396699049 & 0.0182187452277489 \tabularnewline
0.84 & 8.98389408549327 & 0.0180071428259618 \tabularnewline
0.85 & 8.98846574190833 & 0.0178006183298107 \tabularnewline
0.86 & 8.99311128256262 & 0.0175925979497496 \tabularnewline
0.87 & 8.9978278289816 & 0.0173444685152664 \tabularnewline
0.88 & 9.00260918692182 & 0.0169855866330576 \tabularnewline
0.89 & 9.0074572182655 & 0.0164957636093711 \tabularnewline
0.9 & 9.01240629929323 & 0.0159206148115133 \tabularnewline
0.91 & 9.01755919720839 & 0.0154655214957941 \tabularnewline
0.92 & 9.02312312301563 & 0.015484863649623 \tabularnewline
0.93 & 9.02942319139953 & 0.0164167288282689 \tabularnewline
0.94 & 9.03686473966578 & 0.0184183347954826 \tabularnewline
0.95 & 9.04582731000271 & 0.0210581415514349 \tabularnewline
0.96 & 9.05650117140557 & 0.023252805836099 \tabularnewline
0.97 & 9.06868358170154 & 0.0237839736353929 \tabularnewline
0.98 & 9.08148799489489 & 0.0223022752343496 \tabularnewline
0.99 & 9.09293277169358 & 0.0203273714281596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163210&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]7.68852384515358[/C][C]0.0530357921380846[/C][/ROW]
[ROW][C]0.02[/C][C]7.7187028809329[/C][C]0.0591634845307627[/C][/ROW]
[ROW][C]0.03[/C][C]7.75264516214134[/C][C]0.0627303702276425[/C][/ROW]
[ROW][C]0.04[/C][C]7.785499444572[/C][C]0.0632812388865199[/C][/ROW]
[ROW][C]0.05[/C][C]7.81566197667274[/C][C]0.0634283653271203[/C][/ROW]
[ROW][C]0.06[/C][C]7.84319633657628[/C][C]0.0643845489367551[/C][/ROW]
[ROW][C]0.07[/C][C]7.86858809925474[/C][C]0.0653135330750789[/C][/ROW]
[ROW][C]0.08[/C][C]7.8921499104322[/C][C]0.0648939542109653[/C][/ROW]
[ROW][C]0.09[/C][C]7.91389861448391[/C][C]0.062476427359147[/C][/ROW]
[ROW][C]0.1[/C][C]7.93367653237464[/C][C]0.0582253321547635[/C][/ROW]
[ROW][C]0.11[/C][C]7.95132983314438[/C][C]0.0528613549489939[/C][/ROW]
[ROW][C]0.12[/C][C]7.96683368479115[/C][C]0.0472604038399857[/C][/ROW]
[ROW][C]0.13[/C][C]7.98033255981455[/C][C]0.0421999409378224[/C][/ROW]
[ROW][C]0.14[/C][C]7.99211393727796[/C][C]0.0382230899262403[/C][/ROW]
[ROW][C]0.15[/C][C]8.00254946126444[/C][C]0.0356233678734106[/C][/ROW]
[ROW][C]0.16[/C][C]8.0120321540907[/C][C]0.0344294391054241[/C][/ROW]
[ROW][C]0.17[/C][C]8.02092613953063[/C][C]0.0344501947124709[/C][/ROW]
[ROW][C]0.18[/C][C]8.02953492886334[/C][C]0.0353836304544966[/C][/ROW]
[ROW][C]0.19[/C][C]8.03808797872342[/C][C]0.0368897224567638[/C][/ROW]
[ROW][C]0.2[/C][C]8.04674215928877[/C][C]0.0387028116778425[/C][/ROW]
[ROW][C]0.21[/C][C]8.0555935885976[/C][C]0.0406302436490128[/C][/ROW]
[ROW][C]0.22[/C][C]8.0646950890833[/C][C]0.0425799311289654[/C][/ROW]
[ROW][C]0.23[/C][C]8.07407493991051[/C][C]0.0445545505311354[/C][/ROW]
[ROW][C]0.24[/C][C]8.08375349569371[/C][C]0.0466067429747474[/C][/ROW]
[ROW][C]0.25[/C][C]8.09375545825824[/C][C]0.0488177771606521[/C][/ROW]
[ROW][C]0.26[/C][C]8.10411688042682[/C][C]0.0513060736013284[/C][/ROW]
[ROW][C]0.27[/C][C]8.11488709897331[/C][C]0.0541211790693676[/C][/ROW]
[ROW][C]0.28[/C][C]8.12612657689562[/C][C]0.0573385328482268[/C][/ROW]
[ROW][C]0.29[/C][C]8.1379020516793[/C][C]0.0609617973323731[/C][/ROW]
[ROW][C]0.3[/C][C]8.15028050280722[/C][C]0.0649547378106282[/C][/ROW]
[ROW][C]0.31[/C][C]8.16332336312987[/C][C]0.0692789215967648[/C][/ROW]
[ROW][C]0.32[/C][C]8.17708216835154[/C][C]0.0738344395025624[/C][/ROW]
[ROW][C]0.33[/C][C]8.19159648198077[/C][C]0.0785394045168039[/C][/ROW]
[ROW][C]0.34[/C][C]8.20689444337965[/C][C]0.0833307413122195[/C][/ROW]
[ROW][C]0.35[/C][C]8.22299568411784[/C][C]0.0881580133722856[/C][/ROW]
[ROW][C]0.36[/C][C]8.23991572564916[/C][C]0.0930140768505157[/C][/ROW]
[ROW][C]0.37[/C][C]8.2576704564651[/C][C]0.0979523662635534[/C][/ROW]
[ROW][C]0.38[/C][C]8.2762790612387[/C][C]0.10302212833698[/C][/ROW]
[ROW][C]0.39[/C][C]8.29576396944317[/C][C]0.108283931368621[/C][/ROW]
[ROW][C]0.4[/C][C]8.31614703329811[/C][C]0.113744364251284[/C][/ROW]
[ROW][C]0.41[/C][C]8.33744212238707[/C][C]0.119344149297116[/C][/ROW]
[ROW][C]0.42[/C][C]8.35964539666168[/C][C]0.124925228735665[/C][/ROW]
[ROW][C]0.43[/C][C]8.38272538755109[/C][C]0.130272246541793[/C][/ROW]
[ROW][C]0.44[/C][C]8.40661540110956[/C][C]0.135113217344465[/C][/ROW]
[ROW][C]0.45[/C][C]8.43121049671089[/C][C]0.13915358472647[/C][/ROW]
[ROW][C]0.46[/C][C]8.45637040478455[/C][C]0.142176958292441[/C][/ROW]
[ROW][C]0.47[/C][C]8.48192842496473[/C][C]0.144022781035964[/C][/ROW]
[ROW][C]0.48[/C][C]8.5077049216277[/C][C]0.144673518944044[/C][/ROW]
[ROW][C]0.49[/C][C]8.53352287779526[/C][C]0.144198061514897[/C][/ROW]
[ROW][C]0.5[/C][C]8.55922238790292[/C][C]0.142793382890144[/C][/ROW]
[ROW][C]0.51[/C][C]8.58467112344323[/C][C]0.140685844668875[/C][/ROW]
[ROW][C]0.52[/C][C]8.60976866181488[/C][C]0.138140563405891[/C][/ROW]
[ROW][C]0.53[/C][C]8.6344439199568[/C][C]0.135347631634315[/C][/ROW]
[ROW][C]0.54[/C][C]8.65864645576584[/C][C]0.132438464895133[/C][/ROW]
[ROW][C]0.55[/C][C]8.68233373675905[/C][C]0.129427867458979[/C][/ROW]
[ROW][C]0.56[/C][C]8.70545732907255[/C][C]0.12622393231625[/C][/ROW]
[ROW][C]0.57[/C][C]8.72795115624806[/C][C]0.122650286099466[/C][/ROW]
[ROW][C]0.58[/C][C]8.74972449646293[/C][C]0.11852905014167[/C][/ROW]
[ROW][C]0.59[/C][C]8.77066135700777[/C][C]0.113661807676484[/C][/ROW]
[ROW][C]0.6[/C][C]8.79062652424902[/C][C]0.107937466424905[/C][/ROW]
[ROW][C]0.61[/C][C]8.80947722761332[/C][C]0.10133650546562[/C][/ROW]
[ROW][C]0.62[/C][C]8.8270782591232[/C][C]0.093935838298945[/C][/ROW]
[ROW][C]0.63[/C][C]8.84331777078581[/C][C]0.0858868245128795[/C][/ROW]
[ROW][C]0.64[/C][C]8.85812093765457[/C][C]0.0774854757130434[/C][/ROW]
[ROW][C]0.65[/C][C]8.87145920452088[/C][C]0.068991610146065[/C][/ROW]
[ROW][C]0.66[/C][C]8.88335378882481[/C][C]0.0607414195935767[/C][/ROW]
[ROW][C]0.67[/C][C]8.89387326403961[/C][C]0.0529979433883492[/C][/ROW]
[ROW][C]0.68[/C][C]8.90312613435654[/C][C]0.045969548645852[/C][/ROW]
[ROW][C]0.69[/C][C]8.91125009802216[/C][C]0.0398193623268722[/C][/ROW]
[ROW][C]0.7[/C][C]8.91840003192241[/C][C]0.0345991055521407[/C][/ROW]
[ROW][C]0.71[/C][C]8.9247365828393[/C][C]0.0303135481074279[/C][/ROW]
[ROW][C]0.72[/C][C]8.93041671556368[/C][C]0.026897125249355[/C][/ROW]
[ROW][C]0.73[/C][C]8.93558683560915[/C][C]0.0242673179467984[/C][/ROW]
[ROW][C]0.74[/C][C]8.94037840517516[/C][C]0.0223036388104202[/C][/ROW]
[ROW][C]0.75[/C][C]8.94490550555457[/C][C]0.0209167137763192[/C][/ROW]
[ROW][C]0.76[/C][C]8.94926367470186[/C][C]0.0199885060357444[/C][/ROW]
[ROW][C]0.77[/C][C]8.95352954396975[/C][C]0.0194082794966002[/C][/ROW]
[ROW][C]0.78[/C][C]8.95776116902287[/C][C]0.0190796084587228[/C][/ROW]
[ROW][C]0.79[/C][C]8.96199927964213[/C][C]0.0188793897315085[/C][/ROW]
[ROW][C]0.8[/C][C]8.9662697548665[/C][C]0.0187389238322217[/C][/ROW]
[ROW][C]0.81[/C][C]8.97058735973773[/C][C]0.0185985506505353[/C][/ROW]
[ROW][C]0.82[/C][C]8.97496022538891[/C][C]0.0184226362504452[/C][/ROW]
[ROW][C]0.83[/C][C]8.97939396699049[/C][C]0.0182187452277489[/C][/ROW]
[ROW][C]0.84[/C][C]8.98389408549327[/C][C]0.0180071428259618[/C][/ROW]
[ROW][C]0.85[/C][C]8.98846574190833[/C][C]0.0178006183298107[/C][/ROW]
[ROW][C]0.86[/C][C]8.99311128256262[/C][C]0.0175925979497496[/C][/ROW]
[ROW][C]0.87[/C][C]8.9978278289816[/C][C]0.0173444685152664[/C][/ROW]
[ROW][C]0.88[/C][C]9.00260918692182[/C][C]0.0169855866330576[/C][/ROW]
[ROW][C]0.89[/C][C]9.0074572182655[/C][C]0.0164957636093711[/C][/ROW]
[ROW][C]0.9[/C][C]9.01240629929323[/C][C]0.0159206148115133[/C][/ROW]
[ROW][C]0.91[/C][C]9.01755919720839[/C][C]0.0154655214957941[/C][/ROW]
[ROW][C]0.92[/C][C]9.02312312301563[/C][C]0.015484863649623[/C][/ROW]
[ROW][C]0.93[/C][C]9.02942319139953[/C][C]0.0164167288282689[/C][/ROW]
[ROW][C]0.94[/C][C]9.03686473966578[/C][C]0.0184183347954826[/C][/ROW]
[ROW][C]0.95[/C][C]9.04582731000271[/C][C]0.0210581415514349[/C][/ROW]
[ROW][C]0.96[/C][C]9.05650117140557[/C][C]0.023252805836099[/C][/ROW]
[ROW][C]0.97[/C][C]9.06868358170154[/C][C]0.0237839736353929[/C][/ROW]
[ROW][C]0.98[/C][C]9.08148799489489[/C][C]0.0223022752343496[/C][/ROW]
[ROW][C]0.99[/C][C]9.09293277169358[/C][C]0.0203273714281596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163210&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163210&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
0.017.688523845153580.0530357921380846
0.027.71870288093290.0591634845307627
0.037.752645162141340.0627303702276425
0.047.7854994445720.0632812388865199
0.057.815661976672740.0634283653271203
0.067.843196336576280.0643845489367551
0.077.868588099254740.0653135330750789
0.087.89214991043220.0648939542109653
0.097.913898614483910.062476427359147
0.17.933676532374640.0582253321547635
0.117.951329833144380.0528613549489939
0.127.966833684791150.0472604038399857
0.137.980332559814550.0421999409378224
0.147.992113937277960.0382230899262403
0.158.002549461264440.0356233678734106
0.168.01203215409070.0344294391054241
0.178.020926139530630.0344501947124709
0.188.029534928863340.0353836304544966
0.198.038087978723420.0368897224567638
0.28.046742159288770.0387028116778425
0.218.05559358859760.0406302436490128
0.228.06469508908330.0425799311289654
0.238.074074939910510.0445545505311354
0.248.083753495693710.0466067429747474
0.258.093755458258240.0488177771606521
0.268.104116880426820.0513060736013284
0.278.114887098973310.0541211790693676
0.288.126126576895620.0573385328482268
0.298.13790205167930.0609617973323731
0.38.150280502807220.0649547378106282
0.318.163323363129870.0692789215967648
0.328.177082168351540.0738344395025624
0.338.191596481980770.0785394045168039
0.348.206894443379650.0833307413122195
0.358.222995684117840.0881580133722856
0.368.239915725649160.0930140768505157
0.378.25767045646510.0979523662635534
0.388.27627906123870.10302212833698
0.398.295763969443170.108283931368621
0.48.316147033298110.113744364251284
0.418.337442122387070.119344149297116
0.428.359645396661680.124925228735665
0.438.382725387551090.130272246541793
0.448.406615401109560.135113217344465
0.458.431210496710890.13915358472647
0.468.456370404784550.142176958292441
0.478.481928424964730.144022781035964
0.488.50770492162770.144673518944044
0.498.533522877795260.144198061514897
0.58.559222387902920.142793382890144
0.518.584671123443230.140685844668875
0.528.609768661814880.138140563405891
0.538.63444391995680.135347631634315
0.548.658646455765840.132438464895133
0.558.682333736759050.129427867458979
0.568.705457329072550.12622393231625
0.578.727951156248060.122650286099466
0.588.749724496462930.11852905014167
0.598.770661357007770.113661807676484
0.68.790626524249020.107937466424905
0.618.809477227613320.10133650546562
0.628.82707825912320.093935838298945
0.638.843317770785810.0858868245128795
0.648.858120937654570.0774854757130434
0.658.871459204520880.068991610146065
0.668.883353788824810.0607414195935767
0.678.893873264039610.0529979433883492
0.688.903126134356540.045969548645852
0.698.911250098022160.0398193623268722
0.78.918400031922410.0345991055521407
0.718.92473658283930.0303135481074279
0.728.930416715563680.026897125249355
0.738.935586835609150.0242673179467984
0.748.940378405175160.0223036388104202
0.758.944905505554570.0209167137763192
0.768.949263674701860.0199885060357444
0.778.953529543969750.0194082794966002
0.788.957761169022870.0190796084587228
0.798.961999279642130.0188793897315085
0.88.96626975486650.0187389238322217
0.818.970587359737730.0185985506505353
0.828.974960225388910.0184226362504452
0.838.979393966990490.0182187452277489
0.848.983894085493270.0180071428259618
0.858.988465741908330.0178006183298107
0.868.993111282562620.0175925979497496
0.878.99782782898160.0173444685152664
0.889.002609186921820.0169855866330576
0.899.00745721826550.0164957636093711
0.99.012406299293230.0159206148115133
0.919.017559197208390.0154655214957941
0.929.023123123015630.015484863649623
0.939.029423191399530.0164167288282689
0.949.036864739665780.0184183347954826
0.959.045827310002710.0210581415514349
0.969.056501171405570.023252805836099
0.979.068683581701540.0237839736353929
0.989.081487994894890.0223022752343496
0.999.092932771693580.0203273714281596


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')