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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 computationSat, 27 Feb 2016 18:29:50 +0000
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/Feb/27/t145659782926jgfyihiuijuq0.htm/, Retrieved Sat, 27 Apr 2024 11:26:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292928, Retrieved Sat, 27 Apr 2024 11:26:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

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] [Harrell-Davis Ind...] [2016-02-27 18:29:50] [b2b9e3f51b35fbbda207a2f484be6b24] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90,75
92,82
97,78
99,32
98,33
98,66
98,13
97,8
99,36
100,37
103,22
101,68
104,39
103,99
106,71
106,06
103,5
100,17
101,1
105,93
108,09
107,27
104,9
102,7
102,06
103,05
102,08
100,13
97,56
97,38
99,66
99,58
102,7
98,92
97,85
99,01
97,71
97,95
97,24
96,69
96,41
96,99
98,36
97,8
96,79
94,73
92,67
87,15
79,54
82,35
86,38
84,75
87,54
86,73
84,74
80,75
79,28
78,52
78,54
77,33

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292928&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292928&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292928&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0177.58573591769010.984144174996602
0.0277.95538529184160.785137022776119
0.0378.34741322660880.720106083316452
0.0478.73244828694950.841186264082926
0.0579.12741089742591.0902197224444
0.0679.56097781644631.40159252197701
0.0780.05289364164761.72967034704698
0.0880.60861465964292.03728826808142
0.0981.22161752124162.29477809656423
0.181.87789371558692.48446038067764
0.1182.56045668832352.60321195967817
0.1283.25318752106522.66259744502709
0.1383.94366701979322.68497961796699
0.1484.62472709892762.69742462524827
0.1585.29465204328782.72490846439531
0.1685.95622495320062.78492042565915
0.1786.61501846054062.8833211812323
0.1887.27740528332373.01429084776483
0.1987.9487197229343.16344766127035
0.288.63187943317213.31161000870583
0.2189.32662626534443.43883450545338
0.2290.0294032459443.52797061364048
0.2390.73377474929923.56616892397453
0.2491.43122899114173.54638465918695
0.2592.11217663008823.46695421584438
0.2692.76696996761273.33156168175404
0.2793.38680298910273.14788404518783
0.2893.96440072147762.9258178084937
0.2994.49445570285352.67728247211172
0.394.97381153294772.4140989678521
0.3195.40142418887182.14760172507966
0.3295.77815022656951.88745645635875
0.3396.10641863073931.64151628859837
0.3496.38984241979811.4155880345145
0.3596.63281969787141.21360278480851
0.3696.84016381513541.03704007253666
0.3797.01679036508160.886323794940449
0.3897.16747635136420.760258109552156
0.3997.29669528524680.657092216693761
0.497.40852235565410.574582566972379
0.4197.50659699586140.510448950675053
0.4297.59412657539260.462758685469543
0.4397.67391448690020.429371052956263
0.4497.74839801825240.408791999088054
0.4597.8196852171310.399572305475012
0.4697.8895844694530.400008629195319
0.4797.95962481392650.408612073805865
0.4898.03106843523040.423686117017107
0.4998.10491896247770.443525127989202
0.598.18193009437470.466545092517474
0.5198.26261885543750.491301709962877
0.5298.34728676812970.516435131137621
0.5398.43605074766570.540842293600522
0.5498.52888389411640.563909367264658
0.5598.62566479600360.585216605897943
0.5698.72623261012740.604643480501082
0.5798.83044411359420.622372678987192
0.5898.93822816440370.639182631789018
0.5999.049632573630.655870878798347
0.699.16485831421910.673695137063116
0.6199.28427632222410.693543915327623
0.6299.40842296329430.716682675297364
0.6399.5379716258240.743944972015539
0.6499.67367992318970.77577222095936
0.6599.81631462905830.812054992280374
0.6699.96655959136470.852003774678066
0.67100.1249151567890.894055227213723
0.68100.2916005860430.936222824037533
0.69100.4664729093490.976102199568176
0.7100.6489759999291.01102137918434
0.71100.8381318295721.03820413245599
0.72101.0325817660391.05554362756861
0.73101.2306797235971.0616927748597
0.74101.4306318457451.05592723554378
0.75101.6306704182831.03882274791439
0.76101.8292442080861.01208092292352
0.77102.0252044681610.978350553573049
0.78102.2179659497030.94081841360579
0.79102.4076251990680.903516693797028
0.8102.5950232775680.870257221356236
0.81102.7817454223710.84480727655938
0.82102.9700545323160.830084667610504
0.83103.162757555370.828189696759075
0.84103.363003811380.839745998608802
0.85103.5740139156610.863879278792113
0.86103.7987417818420.898127207932802
0.87104.0394866117390.938197883217695
0.88104.2975019056490.978319472487953
0.89104.5726918587171.01143240038294
0.9104.8635257105041.03008112680206
0.91105.167308206291.02823047602371
0.92105.480891175041.00314037002
0.93105.801791285790.957371243504058
0.94106.1294962635450.898562834611016
0.95106.4664130914730.836772052191494
0.96106.8171565173380.781283368200402
0.97107.1835587779140.741498244648272
0.98107.5524851381410.731953775898895
0.99107.8796145210020.762260353661589

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 77.5857359176901 & 0.984144174996602 \tabularnewline
0.02 & 77.9553852918416 & 0.785137022776119 \tabularnewline
0.03 & 78.3474132266088 & 0.720106083316452 \tabularnewline
0.04 & 78.7324482869495 & 0.841186264082926 \tabularnewline
0.05 & 79.1274108974259 & 1.0902197224444 \tabularnewline
0.06 & 79.5609778164463 & 1.40159252197701 \tabularnewline
0.07 & 80.0528936416476 & 1.72967034704698 \tabularnewline
0.08 & 80.6086146596429 & 2.03728826808142 \tabularnewline
0.09 & 81.2216175212416 & 2.29477809656423 \tabularnewline
0.1 & 81.8778937155869 & 2.48446038067764 \tabularnewline
0.11 & 82.5604566883235 & 2.60321195967817 \tabularnewline
0.12 & 83.2531875210652 & 2.66259744502709 \tabularnewline
0.13 & 83.9436670197932 & 2.68497961796699 \tabularnewline
0.14 & 84.6247270989276 & 2.69742462524827 \tabularnewline
0.15 & 85.2946520432878 & 2.72490846439531 \tabularnewline
0.16 & 85.9562249532006 & 2.78492042565915 \tabularnewline
0.17 & 86.6150184605406 & 2.8833211812323 \tabularnewline
0.18 & 87.2774052833237 & 3.01429084776483 \tabularnewline
0.19 & 87.948719722934 & 3.16344766127035 \tabularnewline
0.2 & 88.6318794331721 & 3.31161000870583 \tabularnewline
0.21 & 89.3266262653444 & 3.43883450545338 \tabularnewline
0.22 & 90.029403245944 & 3.52797061364048 \tabularnewline
0.23 & 90.7337747492992 & 3.56616892397453 \tabularnewline
0.24 & 91.4312289911417 & 3.54638465918695 \tabularnewline
0.25 & 92.1121766300882 & 3.46695421584438 \tabularnewline
0.26 & 92.7669699676127 & 3.33156168175404 \tabularnewline
0.27 & 93.3868029891027 & 3.14788404518783 \tabularnewline
0.28 & 93.9644007214776 & 2.9258178084937 \tabularnewline
0.29 & 94.4944557028535 & 2.67728247211172 \tabularnewline
0.3 & 94.9738115329477 & 2.4140989678521 \tabularnewline
0.31 & 95.4014241888718 & 2.14760172507966 \tabularnewline
0.32 & 95.7781502265695 & 1.88745645635875 \tabularnewline
0.33 & 96.1064186307393 & 1.64151628859837 \tabularnewline
0.34 & 96.3898424197981 & 1.4155880345145 \tabularnewline
0.35 & 96.6328196978714 & 1.21360278480851 \tabularnewline
0.36 & 96.8401638151354 & 1.03704007253666 \tabularnewline
0.37 & 97.0167903650816 & 0.886323794940449 \tabularnewline
0.38 & 97.1674763513642 & 0.760258109552156 \tabularnewline
0.39 & 97.2966952852468 & 0.657092216693761 \tabularnewline
0.4 & 97.4085223556541 & 0.574582566972379 \tabularnewline
0.41 & 97.5065969958614 & 0.510448950675053 \tabularnewline
0.42 & 97.5941265753926 & 0.462758685469543 \tabularnewline
0.43 & 97.6739144869002 & 0.429371052956263 \tabularnewline
0.44 & 97.7483980182524 & 0.408791999088054 \tabularnewline
0.45 & 97.819685217131 & 0.399572305475012 \tabularnewline
0.46 & 97.889584469453 & 0.400008629195319 \tabularnewline
0.47 & 97.9596248139265 & 0.408612073805865 \tabularnewline
0.48 & 98.0310684352304 & 0.423686117017107 \tabularnewline
0.49 & 98.1049189624777 & 0.443525127989202 \tabularnewline
0.5 & 98.1819300943747 & 0.466545092517474 \tabularnewline
0.51 & 98.2626188554375 & 0.491301709962877 \tabularnewline
0.52 & 98.3472867681297 & 0.516435131137621 \tabularnewline
0.53 & 98.4360507476657 & 0.540842293600522 \tabularnewline
0.54 & 98.5288838941164 & 0.563909367264658 \tabularnewline
0.55 & 98.6256647960036 & 0.585216605897943 \tabularnewline
0.56 & 98.7262326101274 & 0.604643480501082 \tabularnewline
0.57 & 98.8304441135942 & 0.622372678987192 \tabularnewline
0.58 & 98.9382281644037 & 0.639182631789018 \tabularnewline
0.59 & 99.04963257363 & 0.655870878798347 \tabularnewline
0.6 & 99.1648583142191 & 0.673695137063116 \tabularnewline
0.61 & 99.2842763222241 & 0.693543915327623 \tabularnewline
0.62 & 99.4084229632943 & 0.716682675297364 \tabularnewline
0.63 & 99.537971625824 & 0.743944972015539 \tabularnewline
0.64 & 99.6736799231897 & 0.77577222095936 \tabularnewline
0.65 & 99.8163146290583 & 0.812054992280374 \tabularnewline
0.66 & 99.9665595913647 & 0.852003774678066 \tabularnewline
0.67 & 100.124915156789 & 0.894055227213723 \tabularnewline
0.68 & 100.291600586043 & 0.936222824037533 \tabularnewline
0.69 & 100.466472909349 & 0.976102199568176 \tabularnewline
0.7 & 100.648975999929 & 1.01102137918434 \tabularnewline
0.71 & 100.838131829572 & 1.03820413245599 \tabularnewline
0.72 & 101.032581766039 & 1.05554362756861 \tabularnewline
0.73 & 101.230679723597 & 1.0616927748597 \tabularnewline
0.74 & 101.430631845745 & 1.05592723554378 \tabularnewline
0.75 & 101.630670418283 & 1.03882274791439 \tabularnewline
0.76 & 101.829244208086 & 1.01208092292352 \tabularnewline
0.77 & 102.025204468161 & 0.978350553573049 \tabularnewline
0.78 & 102.217965949703 & 0.94081841360579 \tabularnewline
0.79 & 102.407625199068 & 0.903516693797028 \tabularnewline
0.8 & 102.595023277568 & 0.870257221356236 \tabularnewline
0.81 & 102.781745422371 & 0.84480727655938 \tabularnewline
0.82 & 102.970054532316 & 0.830084667610504 \tabularnewline
0.83 & 103.16275755537 & 0.828189696759075 \tabularnewline
0.84 & 103.36300381138 & 0.839745998608802 \tabularnewline
0.85 & 103.574013915661 & 0.863879278792113 \tabularnewline
0.86 & 103.798741781842 & 0.898127207932802 \tabularnewline
0.87 & 104.039486611739 & 0.938197883217695 \tabularnewline
0.88 & 104.297501905649 & 0.978319472487953 \tabularnewline
0.89 & 104.572691858717 & 1.01143240038294 \tabularnewline
0.9 & 104.863525710504 & 1.03008112680206 \tabularnewline
0.91 & 105.16730820629 & 1.02823047602371 \tabularnewline
0.92 & 105.48089117504 & 1.00314037002 \tabularnewline
0.93 & 105.80179128579 & 0.957371243504058 \tabularnewline
0.94 & 106.129496263545 & 0.898562834611016 \tabularnewline
0.95 & 106.466413091473 & 0.836772052191494 \tabularnewline
0.96 & 106.817156517338 & 0.781283368200402 \tabularnewline
0.97 & 107.183558777914 & 0.741498244648272 \tabularnewline
0.98 & 107.552485138141 & 0.731953775898895 \tabularnewline
0.99 & 107.879614521002 & 0.762260353661589 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292928&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]77.5857359176901[/C][C]0.984144174996602[/C][/ROW]
[ROW][C]0.02[/C][C]77.9553852918416[/C][C]0.785137022776119[/C][/ROW]
[ROW][C]0.03[/C][C]78.3474132266088[/C][C]0.720106083316452[/C][/ROW]
[ROW][C]0.04[/C][C]78.7324482869495[/C][C]0.841186264082926[/C][/ROW]
[ROW][C]0.05[/C][C]79.1274108974259[/C][C]1.0902197224444[/C][/ROW]
[ROW][C]0.06[/C][C]79.5609778164463[/C][C]1.40159252197701[/C][/ROW]
[ROW][C]0.07[/C][C]80.0528936416476[/C][C]1.72967034704698[/C][/ROW]
[ROW][C]0.08[/C][C]80.6086146596429[/C][C]2.03728826808142[/C][/ROW]
[ROW][C]0.09[/C][C]81.2216175212416[/C][C]2.29477809656423[/C][/ROW]
[ROW][C]0.1[/C][C]81.8778937155869[/C][C]2.48446038067764[/C][/ROW]
[ROW][C]0.11[/C][C]82.5604566883235[/C][C]2.60321195967817[/C][/ROW]
[ROW][C]0.12[/C][C]83.2531875210652[/C][C]2.66259744502709[/C][/ROW]
[ROW][C]0.13[/C][C]83.9436670197932[/C][C]2.68497961796699[/C][/ROW]
[ROW][C]0.14[/C][C]84.6247270989276[/C][C]2.69742462524827[/C][/ROW]
[ROW][C]0.15[/C][C]85.2946520432878[/C][C]2.72490846439531[/C][/ROW]
[ROW][C]0.16[/C][C]85.9562249532006[/C][C]2.78492042565915[/C][/ROW]
[ROW][C]0.17[/C][C]86.6150184605406[/C][C]2.8833211812323[/C][/ROW]
[ROW][C]0.18[/C][C]87.2774052833237[/C][C]3.01429084776483[/C][/ROW]
[ROW][C]0.19[/C][C]87.948719722934[/C][C]3.16344766127035[/C][/ROW]
[ROW][C]0.2[/C][C]88.6318794331721[/C][C]3.31161000870583[/C][/ROW]
[ROW][C]0.21[/C][C]89.3266262653444[/C][C]3.43883450545338[/C][/ROW]
[ROW][C]0.22[/C][C]90.029403245944[/C][C]3.52797061364048[/C][/ROW]
[ROW][C]0.23[/C][C]90.7337747492992[/C][C]3.56616892397453[/C][/ROW]
[ROW][C]0.24[/C][C]91.4312289911417[/C][C]3.54638465918695[/C][/ROW]
[ROW][C]0.25[/C][C]92.1121766300882[/C][C]3.46695421584438[/C][/ROW]
[ROW][C]0.26[/C][C]92.7669699676127[/C][C]3.33156168175404[/C][/ROW]
[ROW][C]0.27[/C][C]93.3868029891027[/C][C]3.14788404518783[/C][/ROW]
[ROW][C]0.28[/C][C]93.9644007214776[/C][C]2.9258178084937[/C][/ROW]
[ROW][C]0.29[/C][C]94.4944557028535[/C][C]2.67728247211172[/C][/ROW]
[ROW][C]0.3[/C][C]94.9738115329477[/C][C]2.4140989678521[/C][/ROW]
[ROW][C]0.31[/C][C]95.4014241888718[/C][C]2.14760172507966[/C][/ROW]
[ROW][C]0.32[/C][C]95.7781502265695[/C][C]1.88745645635875[/C][/ROW]
[ROW][C]0.33[/C][C]96.1064186307393[/C][C]1.64151628859837[/C][/ROW]
[ROW][C]0.34[/C][C]96.3898424197981[/C][C]1.4155880345145[/C][/ROW]
[ROW][C]0.35[/C][C]96.6328196978714[/C][C]1.21360278480851[/C][/ROW]
[ROW][C]0.36[/C][C]96.8401638151354[/C][C]1.03704007253666[/C][/ROW]
[ROW][C]0.37[/C][C]97.0167903650816[/C][C]0.886323794940449[/C][/ROW]
[ROW][C]0.38[/C][C]97.1674763513642[/C][C]0.760258109552156[/C][/ROW]
[ROW][C]0.39[/C][C]97.2966952852468[/C][C]0.657092216693761[/C][/ROW]
[ROW][C]0.4[/C][C]97.4085223556541[/C][C]0.574582566972379[/C][/ROW]
[ROW][C]0.41[/C][C]97.5065969958614[/C][C]0.510448950675053[/C][/ROW]
[ROW][C]0.42[/C][C]97.5941265753926[/C][C]0.462758685469543[/C][/ROW]
[ROW][C]0.43[/C][C]97.6739144869002[/C][C]0.429371052956263[/C][/ROW]
[ROW][C]0.44[/C][C]97.7483980182524[/C][C]0.408791999088054[/C][/ROW]
[ROW][C]0.45[/C][C]97.819685217131[/C][C]0.399572305475012[/C][/ROW]
[ROW][C]0.46[/C][C]97.889584469453[/C][C]0.400008629195319[/C][/ROW]
[ROW][C]0.47[/C][C]97.9596248139265[/C][C]0.408612073805865[/C][/ROW]
[ROW][C]0.48[/C][C]98.0310684352304[/C][C]0.423686117017107[/C][/ROW]
[ROW][C]0.49[/C][C]98.1049189624777[/C][C]0.443525127989202[/C][/ROW]
[ROW][C]0.5[/C][C]98.1819300943747[/C][C]0.466545092517474[/C][/ROW]
[ROW][C]0.51[/C][C]98.2626188554375[/C][C]0.491301709962877[/C][/ROW]
[ROW][C]0.52[/C][C]98.3472867681297[/C][C]0.516435131137621[/C][/ROW]
[ROW][C]0.53[/C][C]98.4360507476657[/C][C]0.540842293600522[/C][/ROW]
[ROW][C]0.54[/C][C]98.5288838941164[/C][C]0.563909367264658[/C][/ROW]
[ROW][C]0.55[/C][C]98.6256647960036[/C][C]0.585216605897943[/C][/ROW]
[ROW][C]0.56[/C][C]98.7262326101274[/C][C]0.604643480501082[/C][/ROW]
[ROW][C]0.57[/C][C]98.8304441135942[/C][C]0.622372678987192[/C][/ROW]
[ROW][C]0.58[/C][C]98.9382281644037[/C][C]0.639182631789018[/C][/ROW]
[ROW][C]0.59[/C][C]99.04963257363[/C][C]0.655870878798347[/C][/ROW]
[ROW][C]0.6[/C][C]99.1648583142191[/C][C]0.673695137063116[/C][/ROW]
[ROW][C]0.61[/C][C]99.2842763222241[/C][C]0.693543915327623[/C][/ROW]
[ROW][C]0.62[/C][C]99.4084229632943[/C][C]0.716682675297364[/C][/ROW]
[ROW][C]0.63[/C][C]99.537971625824[/C][C]0.743944972015539[/C][/ROW]
[ROW][C]0.64[/C][C]99.6736799231897[/C][C]0.77577222095936[/C][/ROW]
[ROW][C]0.65[/C][C]99.8163146290583[/C][C]0.812054992280374[/C][/ROW]
[ROW][C]0.66[/C][C]99.9665595913647[/C][C]0.852003774678066[/C][/ROW]
[ROW][C]0.67[/C][C]100.124915156789[/C][C]0.894055227213723[/C][/ROW]
[ROW][C]0.68[/C][C]100.291600586043[/C][C]0.936222824037533[/C][/ROW]
[ROW][C]0.69[/C][C]100.466472909349[/C][C]0.976102199568176[/C][/ROW]
[ROW][C]0.7[/C][C]100.648975999929[/C][C]1.01102137918434[/C][/ROW]
[ROW][C]0.71[/C][C]100.838131829572[/C][C]1.03820413245599[/C][/ROW]
[ROW][C]0.72[/C][C]101.032581766039[/C][C]1.05554362756861[/C][/ROW]
[ROW][C]0.73[/C][C]101.230679723597[/C][C]1.0616927748597[/C][/ROW]
[ROW][C]0.74[/C][C]101.430631845745[/C][C]1.05592723554378[/C][/ROW]
[ROW][C]0.75[/C][C]101.630670418283[/C][C]1.03882274791439[/C][/ROW]
[ROW][C]0.76[/C][C]101.829244208086[/C][C]1.01208092292352[/C][/ROW]
[ROW][C]0.77[/C][C]102.025204468161[/C][C]0.978350553573049[/C][/ROW]
[ROW][C]0.78[/C][C]102.217965949703[/C][C]0.94081841360579[/C][/ROW]
[ROW][C]0.79[/C][C]102.407625199068[/C][C]0.903516693797028[/C][/ROW]
[ROW][C]0.8[/C][C]102.595023277568[/C][C]0.870257221356236[/C][/ROW]
[ROW][C]0.81[/C][C]102.781745422371[/C][C]0.84480727655938[/C][/ROW]
[ROW][C]0.82[/C][C]102.970054532316[/C][C]0.830084667610504[/C][/ROW]
[ROW][C]0.83[/C][C]103.16275755537[/C][C]0.828189696759075[/C][/ROW]
[ROW][C]0.84[/C][C]103.36300381138[/C][C]0.839745998608802[/C][/ROW]
[ROW][C]0.85[/C][C]103.574013915661[/C][C]0.863879278792113[/C][/ROW]
[ROW][C]0.86[/C][C]103.798741781842[/C][C]0.898127207932802[/C][/ROW]
[ROW][C]0.87[/C][C]104.039486611739[/C][C]0.938197883217695[/C][/ROW]
[ROW][C]0.88[/C][C]104.297501905649[/C][C]0.978319472487953[/C][/ROW]
[ROW][C]0.89[/C][C]104.572691858717[/C][C]1.01143240038294[/C][/ROW]
[ROW][C]0.9[/C][C]104.863525710504[/C][C]1.03008112680206[/C][/ROW]
[ROW][C]0.91[/C][C]105.16730820629[/C][C]1.02823047602371[/C][/ROW]
[ROW][C]0.92[/C][C]105.48089117504[/C][C]1.00314037002[/C][/ROW]
[ROW][C]0.93[/C][C]105.80179128579[/C][C]0.957371243504058[/C][/ROW]
[ROW][C]0.94[/C][C]106.129496263545[/C][C]0.898562834611016[/C][/ROW]
[ROW][C]0.95[/C][C]106.466413091473[/C][C]0.836772052191494[/C][/ROW]
[ROW][C]0.96[/C][C]106.817156517338[/C][C]0.781283368200402[/C][/ROW]
[ROW][C]0.97[/C][C]107.183558777914[/C][C]0.741498244648272[/C][/ROW]
[ROW][C]0.98[/C][C]107.552485138141[/C][C]0.731953775898895[/C][/ROW]
[ROW][C]0.99[/C][C]107.879614521002[/C][C]0.762260353661589[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292928&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292928&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
0.0177.58573591769010.984144174996602
0.0277.95538529184160.785137022776119
0.0378.34741322660880.720106083316452
0.0478.73244828694950.841186264082926
0.0579.12741089742591.0902197224444
0.0679.56097781644631.40159252197701
0.0780.05289364164761.72967034704698
0.0880.60861465964292.03728826808142
0.0981.22161752124162.29477809656423
0.181.87789371558692.48446038067764
0.1182.56045668832352.60321195967817
0.1283.25318752106522.66259744502709
0.1383.94366701979322.68497961796699
0.1484.62472709892762.69742462524827
0.1585.29465204328782.72490846439531
0.1685.95622495320062.78492042565915
0.1786.61501846054062.8833211812323
0.1887.27740528332373.01429084776483
0.1987.9487197229343.16344766127035
0.288.63187943317213.31161000870583
0.2189.32662626534443.43883450545338
0.2290.0294032459443.52797061364048
0.2390.73377474929923.56616892397453
0.2491.43122899114173.54638465918695
0.2592.11217663008823.46695421584438
0.2692.76696996761273.33156168175404
0.2793.38680298910273.14788404518783
0.2893.96440072147762.9258178084937
0.2994.49445570285352.67728247211172
0.394.97381153294772.4140989678521
0.3195.40142418887182.14760172507966
0.3295.77815022656951.88745645635875
0.3396.10641863073931.64151628859837
0.3496.38984241979811.4155880345145
0.3596.63281969787141.21360278480851
0.3696.84016381513541.03704007253666
0.3797.01679036508160.886323794940449
0.3897.16747635136420.760258109552156
0.3997.29669528524680.657092216693761
0.497.40852235565410.574582566972379
0.4197.50659699586140.510448950675053
0.4297.59412657539260.462758685469543
0.4397.67391448690020.429371052956263
0.4497.74839801825240.408791999088054
0.4597.8196852171310.399572305475012
0.4697.8895844694530.400008629195319
0.4797.95962481392650.408612073805865
0.4898.03106843523040.423686117017107
0.4998.10491896247770.443525127989202
0.598.18193009437470.466545092517474
0.5198.26261885543750.491301709962877
0.5298.34728676812970.516435131137621
0.5398.43605074766570.540842293600522
0.5498.52888389411640.563909367264658
0.5598.62566479600360.585216605897943
0.5698.72623261012740.604643480501082
0.5798.83044411359420.622372678987192
0.5898.93822816440370.639182631789018
0.5999.049632573630.655870878798347
0.699.16485831421910.673695137063116
0.6199.28427632222410.693543915327623
0.6299.40842296329430.716682675297364
0.6399.5379716258240.743944972015539
0.6499.67367992318970.77577222095936
0.6599.81631462905830.812054992280374
0.6699.96655959136470.852003774678066
0.67100.1249151567890.894055227213723
0.68100.2916005860430.936222824037533
0.69100.4664729093490.976102199568176
0.7100.6489759999291.01102137918434
0.71100.8381318295721.03820413245599
0.72101.0325817660391.05554362756861
0.73101.2306797235971.0616927748597
0.74101.4306318457451.05592723554378
0.75101.6306704182831.03882274791439
0.76101.8292442080861.01208092292352
0.77102.0252044681610.978350553573049
0.78102.2179659497030.94081841360579
0.79102.4076251990680.903516693797028
0.8102.5950232775680.870257221356236
0.81102.7817454223710.84480727655938
0.82102.9700545323160.830084667610504
0.83103.162757555370.828189696759075
0.84103.363003811380.839745998608802
0.85103.5740139156610.863879278792113
0.86103.7987417818420.898127207932802
0.87104.0394866117390.938197883217695
0.88104.2975019056490.978319472487953
0.89104.5726918587171.01143240038294
0.9104.8635257105041.03008112680206
0.91105.167308206291.02823047602371
0.92105.480891175041.00314037002
0.93105.801791285790.957371243504058
0.94106.1294962635450.898562834611016
0.95106.4664130914730.836772052191494
0.96106.8171565173380.781283368200402
0.97107.1835587779140.741498244648272
0.98107.5524851381410.731953775898895
0.99107.8796145210020.762260353661589


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')