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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, 09 Oct 2011 07:26:41 -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/2011/Oct/09/t1318159626i09t4rvc3ekupv8.htm/, Retrieved Sun, 19 May 2024 01:11:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127392, Retrieved Sun, 19 May 2024 01:11:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact134

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] [Gemiddelde prijs ...] [2011-10-09 11:26:41] [27830603f12132457d99d827849f2486] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,11
3,1
3,13
3,14
3,16
3,17
3,19
3,18
3,17
3,17
3,2
3,21
3,25
3,22
3,25
3,31
3,35
3,37
3,38
3,38
3,39
3,44
3,56
3,65
3,69
3,71
3,71
3,74
3,75
3,77
3,75
3,78
3,8
3,78
3,79
3,8
3,82
3,82
3,84
3,86
3,8
3,85
3,78
3,79
3,77
3,78
3,77
3,76
3,78
3,76
3,75
3,71
3,72
3,7
3,69
3,7
3,72
3,73
3,73
3,69

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 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 & 12 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127392&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127392&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 time12 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.103473274081450.0117279395911203
0.023.109514368828730.0148960490358622
0.033.117107200387590.0177267696545587
0.043.125299358955230.0193878667709146
0.053.133436399426780.019919205042458
0.063.141132586752210.0196034105497653
0.073.148194337130670.01872576395379
0.083.154566480264160.0176120948428567
0.093.160300845191460.0166535925031548
0.13.165532341218590.0162496751220807
0.113.170453244194490.0166889253079168
0.123.175284805698390.0180673694828187
0.133.180250484153120.0203293627364228
0.143.185555677602030.0233468589558686
0.153.191376244576430.0270048681184697
0.163.197854829065240.0312080953226541
0.173.205101961427740.0358801641881657
0.183.213198693786780.0409275148859745
0.193.222198695363380.0462505300890064
0.23.232129392849410.0517070653432341
0.213.242993089260580.057156198318103
0.223.254769569014210.0624612620594474
0.233.267421411989470.067528374874207
0.243.280902302535770.072323831164657
0.253.295167404864040.0769035124629211
0.263.310183799419290.0813986315875224
0.273.325938385857610.0859968108281664
0.283.342440762902920.0908863586583458
0.293.359719411627320.096212271075665
0.33.377810866280820.10199682563141
0.313.396743140641330.108110143664899
0.323.416516107089640.114262654751064
0.333.437082449121520.120040411262843
0.343.458332992297410.124949965839536
0.353.480089604982590.128493237721859
0.363.502107576517590.130235734861045
0.373.524087705687590.129859111582378
0.383.545696624984010.127227216911579
0.393.566592496476410.122369133759282
0.43.586452405142480.115495497140824
0.413.6049976659910.106968119402837
0.423.622013816931520.0972524697316751
0.433.637363121998090.0868633181015905
0.443.65098870990490.0763132167137775
0.453.662910754295650.0660662481528934
0.463.673216139407190.0565117674968266
0.473.682043705631180.0479304271845244
0.483.689567389253040.0405030156446575
0.493.69597940450490.0343040493851338
0.53.701475171658030.029329820061987
0.513.706241107524020.0254973597622848
0.523.710445794015230.0226773933522879
0.533.714234525703060.0207000570887121
0.543.717726865738190.019385332605374
0.553.721016626082480.0185533904214039
0.563.724173614804520.0180552124978979
0.573.727246522992430.017753760001681
0.583.730266414009970.0175570190126531
0.593.73325039112930.0173906096443369
0.63.736205130296740.0172068786326516
0.613.739130060083930.0169791648246948
0.623.742020048473770.0166905188363131
0.633.744867520024290.0163392612863867
0.643.74766398284770.0159311055713871
0.653.750400996682350.0154718806626664
0.663.753070661633670.0149713825560102
0.673.755665749104990.0144346856964916
0.683.758179627206530.0138693461200921
0.693.760606147356390.0132754365079952
0.73.762939652670320.0126501880391427
0.713.765175239508790.0120015418695923
0.723.767309350574470.0113306852128888
0.733.769340703106610.0106481720024497
0.743.771271464773340.00996967920606534
0.753.773108494589560.0093205410121996
0.763.774864386100920.0087333684952106
0.773.776558011961370.00824210815716016
0.783.778214302269190.00788899149955096
0.793.779863115704490.00770027977328774
0.83.781537283508750.00768875560980934
0.813.783270187471080.00784504069523371
0.823.785093498288250.00813545408386737
0.833.787035841055370.0085155969796405
0.843.789123060221520.00894141815373327
0.853.791380369464840.00938905566386908
0.863.793836045456580.00986409832421706
0.873.79652564724610.0103954566371781
0.883.799495286339180.011031212049878
0.893.802802440562590.0118063584887204
0.93.806513158648920.0127215000889702
0.913.810694941022960.0137313792933308
0.923.815404864327140.0147545254296698
0.933.820672992902160.0156667898336912
0.943.826482655327020.0162884570753373
0.953.832751254109640.0163625310208524
0.963.839312978957890.0156211336701579
0.973.845891102534070.0139955107331371
0.983.852033289642720.0119126875537398
0.993.857028377755640.0103381833107711

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.10347327408145 & 0.0117279395911203 \tabularnewline
0.02 & 3.10951436882873 & 0.0148960490358622 \tabularnewline
0.03 & 3.11710720038759 & 0.0177267696545587 \tabularnewline
0.04 & 3.12529935895523 & 0.0193878667709146 \tabularnewline
0.05 & 3.13343639942678 & 0.019919205042458 \tabularnewline
0.06 & 3.14113258675221 & 0.0196034105497653 \tabularnewline
0.07 & 3.14819433713067 & 0.01872576395379 \tabularnewline
0.08 & 3.15456648026416 & 0.0176120948428567 \tabularnewline
0.09 & 3.16030084519146 & 0.0166535925031548 \tabularnewline
0.1 & 3.16553234121859 & 0.0162496751220807 \tabularnewline
0.11 & 3.17045324419449 & 0.0166889253079168 \tabularnewline
0.12 & 3.17528480569839 & 0.0180673694828187 \tabularnewline
0.13 & 3.18025048415312 & 0.0203293627364228 \tabularnewline
0.14 & 3.18555567760203 & 0.0233468589558686 \tabularnewline
0.15 & 3.19137624457643 & 0.0270048681184697 \tabularnewline
0.16 & 3.19785482906524 & 0.0312080953226541 \tabularnewline
0.17 & 3.20510196142774 & 0.0358801641881657 \tabularnewline
0.18 & 3.21319869378678 & 0.0409275148859745 \tabularnewline
0.19 & 3.22219869536338 & 0.0462505300890064 \tabularnewline
0.2 & 3.23212939284941 & 0.0517070653432341 \tabularnewline
0.21 & 3.24299308926058 & 0.057156198318103 \tabularnewline
0.22 & 3.25476956901421 & 0.0624612620594474 \tabularnewline
0.23 & 3.26742141198947 & 0.067528374874207 \tabularnewline
0.24 & 3.28090230253577 & 0.072323831164657 \tabularnewline
0.25 & 3.29516740486404 & 0.0769035124629211 \tabularnewline
0.26 & 3.31018379941929 & 0.0813986315875224 \tabularnewline
0.27 & 3.32593838585761 & 0.0859968108281664 \tabularnewline
0.28 & 3.34244076290292 & 0.0908863586583458 \tabularnewline
0.29 & 3.35971941162732 & 0.096212271075665 \tabularnewline
0.3 & 3.37781086628082 & 0.10199682563141 \tabularnewline
0.31 & 3.39674314064133 & 0.108110143664899 \tabularnewline
0.32 & 3.41651610708964 & 0.114262654751064 \tabularnewline
0.33 & 3.43708244912152 & 0.120040411262843 \tabularnewline
0.34 & 3.45833299229741 & 0.124949965839536 \tabularnewline
0.35 & 3.48008960498259 & 0.128493237721859 \tabularnewline
0.36 & 3.50210757651759 & 0.130235734861045 \tabularnewline
0.37 & 3.52408770568759 & 0.129859111582378 \tabularnewline
0.38 & 3.54569662498401 & 0.127227216911579 \tabularnewline
0.39 & 3.56659249647641 & 0.122369133759282 \tabularnewline
0.4 & 3.58645240514248 & 0.115495497140824 \tabularnewline
0.41 & 3.604997665991 & 0.106968119402837 \tabularnewline
0.42 & 3.62201381693152 & 0.0972524697316751 \tabularnewline
0.43 & 3.63736312199809 & 0.0868633181015905 \tabularnewline
0.44 & 3.6509887099049 & 0.0763132167137775 \tabularnewline
0.45 & 3.66291075429565 & 0.0660662481528934 \tabularnewline
0.46 & 3.67321613940719 & 0.0565117674968266 \tabularnewline
0.47 & 3.68204370563118 & 0.0479304271845244 \tabularnewline
0.48 & 3.68956738925304 & 0.0405030156446575 \tabularnewline
0.49 & 3.6959794045049 & 0.0343040493851338 \tabularnewline
0.5 & 3.70147517165803 & 0.029329820061987 \tabularnewline
0.51 & 3.70624110752402 & 0.0254973597622848 \tabularnewline
0.52 & 3.71044579401523 & 0.0226773933522879 \tabularnewline
0.53 & 3.71423452570306 & 0.0207000570887121 \tabularnewline
0.54 & 3.71772686573819 & 0.019385332605374 \tabularnewline
0.55 & 3.72101662608248 & 0.0185533904214039 \tabularnewline
0.56 & 3.72417361480452 & 0.0180552124978979 \tabularnewline
0.57 & 3.72724652299243 & 0.017753760001681 \tabularnewline
0.58 & 3.73026641400997 & 0.0175570190126531 \tabularnewline
0.59 & 3.7332503911293 & 0.0173906096443369 \tabularnewline
0.6 & 3.73620513029674 & 0.0172068786326516 \tabularnewline
0.61 & 3.73913006008393 & 0.0169791648246948 \tabularnewline
0.62 & 3.74202004847377 & 0.0166905188363131 \tabularnewline
0.63 & 3.74486752002429 & 0.0163392612863867 \tabularnewline
0.64 & 3.7476639828477 & 0.0159311055713871 \tabularnewline
0.65 & 3.75040099668235 & 0.0154718806626664 \tabularnewline
0.66 & 3.75307066163367 & 0.0149713825560102 \tabularnewline
0.67 & 3.75566574910499 & 0.0144346856964916 \tabularnewline
0.68 & 3.75817962720653 & 0.0138693461200921 \tabularnewline
0.69 & 3.76060614735639 & 0.0132754365079952 \tabularnewline
0.7 & 3.76293965267032 & 0.0126501880391427 \tabularnewline
0.71 & 3.76517523950879 & 0.0120015418695923 \tabularnewline
0.72 & 3.76730935057447 & 0.0113306852128888 \tabularnewline
0.73 & 3.76934070310661 & 0.0106481720024497 \tabularnewline
0.74 & 3.77127146477334 & 0.00996967920606534 \tabularnewline
0.75 & 3.77310849458956 & 0.0093205410121996 \tabularnewline
0.76 & 3.77486438610092 & 0.0087333684952106 \tabularnewline
0.77 & 3.77655801196137 & 0.00824210815716016 \tabularnewline
0.78 & 3.77821430226919 & 0.00788899149955096 \tabularnewline
0.79 & 3.77986311570449 & 0.00770027977328774 \tabularnewline
0.8 & 3.78153728350875 & 0.00768875560980934 \tabularnewline
0.81 & 3.78327018747108 & 0.00784504069523371 \tabularnewline
0.82 & 3.78509349828825 & 0.00813545408386737 \tabularnewline
0.83 & 3.78703584105537 & 0.0085155969796405 \tabularnewline
0.84 & 3.78912306022152 & 0.00894141815373327 \tabularnewline
0.85 & 3.79138036946484 & 0.00938905566386908 \tabularnewline
0.86 & 3.79383604545658 & 0.00986409832421706 \tabularnewline
0.87 & 3.7965256472461 & 0.0103954566371781 \tabularnewline
0.88 & 3.79949528633918 & 0.011031212049878 \tabularnewline
0.89 & 3.80280244056259 & 0.0118063584887204 \tabularnewline
0.9 & 3.80651315864892 & 0.0127215000889702 \tabularnewline
0.91 & 3.81069494102296 & 0.0137313792933308 \tabularnewline
0.92 & 3.81540486432714 & 0.0147545254296698 \tabularnewline
0.93 & 3.82067299290216 & 0.0156667898336912 \tabularnewline
0.94 & 3.82648265532702 & 0.0162884570753373 \tabularnewline
0.95 & 3.83275125410964 & 0.0163625310208524 \tabularnewline
0.96 & 3.83931297895789 & 0.0156211336701579 \tabularnewline
0.97 & 3.84589110253407 & 0.0139955107331371 \tabularnewline
0.98 & 3.85203328964272 & 0.0119126875537398 \tabularnewline
0.99 & 3.85702837775564 & 0.0103381833107711 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127392&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]3.10347327408145[/C][C]0.0117279395911203[/C][/ROW]
[ROW][C]0.02[/C][C]3.10951436882873[/C][C]0.0148960490358622[/C][/ROW]
[ROW][C]0.03[/C][C]3.11710720038759[/C][C]0.0177267696545587[/C][/ROW]
[ROW][C]0.04[/C][C]3.12529935895523[/C][C]0.0193878667709146[/C][/ROW]
[ROW][C]0.05[/C][C]3.13343639942678[/C][C]0.019919205042458[/C][/ROW]
[ROW][C]0.06[/C][C]3.14113258675221[/C][C]0.0196034105497653[/C][/ROW]
[ROW][C]0.07[/C][C]3.14819433713067[/C][C]0.01872576395379[/C][/ROW]
[ROW][C]0.08[/C][C]3.15456648026416[/C][C]0.0176120948428567[/C][/ROW]
[ROW][C]0.09[/C][C]3.16030084519146[/C][C]0.0166535925031548[/C][/ROW]
[ROW][C]0.1[/C][C]3.16553234121859[/C][C]0.0162496751220807[/C][/ROW]
[ROW][C]0.11[/C][C]3.17045324419449[/C][C]0.0166889253079168[/C][/ROW]
[ROW][C]0.12[/C][C]3.17528480569839[/C][C]0.0180673694828187[/C][/ROW]
[ROW][C]0.13[/C][C]3.18025048415312[/C][C]0.0203293627364228[/C][/ROW]
[ROW][C]0.14[/C][C]3.18555567760203[/C][C]0.0233468589558686[/C][/ROW]
[ROW][C]0.15[/C][C]3.19137624457643[/C][C]0.0270048681184697[/C][/ROW]
[ROW][C]0.16[/C][C]3.19785482906524[/C][C]0.0312080953226541[/C][/ROW]
[ROW][C]0.17[/C][C]3.20510196142774[/C][C]0.0358801641881657[/C][/ROW]
[ROW][C]0.18[/C][C]3.21319869378678[/C][C]0.0409275148859745[/C][/ROW]
[ROW][C]0.19[/C][C]3.22219869536338[/C][C]0.0462505300890064[/C][/ROW]
[ROW][C]0.2[/C][C]3.23212939284941[/C][C]0.0517070653432341[/C][/ROW]
[ROW][C]0.21[/C][C]3.24299308926058[/C][C]0.057156198318103[/C][/ROW]
[ROW][C]0.22[/C][C]3.25476956901421[/C][C]0.0624612620594474[/C][/ROW]
[ROW][C]0.23[/C][C]3.26742141198947[/C][C]0.067528374874207[/C][/ROW]
[ROW][C]0.24[/C][C]3.28090230253577[/C][C]0.072323831164657[/C][/ROW]
[ROW][C]0.25[/C][C]3.29516740486404[/C][C]0.0769035124629211[/C][/ROW]
[ROW][C]0.26[/C][C]3.31018379941929[/C][C]0.0813986315875224[/C][/ROW]
[ROW][C]0.27[/C][C]3.32593838585761[/C][C]0.0859968108281664[/C][/ROW]
[ROW][C]0.28[/C][C]3.34244076290292[/C][C]0.0908863586583458[/C][/ROW]
[ROW][C]0.29[/C][C]3.35971941162732[/C][C]0.096212271075665[/C][/ROW]
[ROW][C]0.3[/C][C]3.37781086628082[/C][C]0.10199682563141[/C][/ROW]
[ROW][C]0.31[/C][C]3.39674314064133[/C][C]0.108110143664899[/C][/ROW]
[ROW][C]0.32[/C][C]3.41651610708964[/C][C]0.114262654751064[/C][/ROW]
[ROW][C]0.33[/C][C]3.43708244912152[/C][C]0.120040411262843[/C][/ROW]
[ROW][C]0.34[/C][C]3.45833299229741[/C][C]0.124949965839536[/C][/ROW]
[ROW][C]0.35[/C][C]3.48008960498259[/C][C]0.128493237721859[/C][/ROW]
[ROW][C]0.36[/C][C]3.50210757651759[/C][C]0.130235734861045[/C][/ROW]
[ROW][C]0.37[/C][C]3.52408770568759[/C][C]0.129859111582378[/C][/ROW]
[ROW][C]0.38[/C][C]3.54569662498401[/C][C]0.127227216911579[/C][/ROW]
[ROW][C]0.39[/C][C]3.56659249647641[/C][C]0.122369133759282[/C][/ROW]
[ROW][C]0.4[/C][C]3.58645240514248[/C][C]0.115495497140824[/C][/ROW]
[ROW][C]0.41[/C][C]3.604997665991[/C][C]0.106968119402837[/C][/ROW]
[ROW][C]0.42[/C][C]3.62201381693152[/C][C]0.0972524697316751[/C][/ROW]
[ROW][C]0.43[/C][C]3.63736312199809[/C][C]0.0868633181015905[/C][/ROW]
[ROW][C]0.44[/C][C]3.6509887099049[/C][C]0.0763132167137775[/C][/ROW]
[ROW][C]0.45[/C][C]3.66291075429565[/C][C]0.0660662481528934[/C][/ROW]
[ROW][C]0.46[/C][C]3.67321613940719[/C][C]0.0565117674968266[/C][/ROW]
[ROW][C]0.47[/C][C]3.68204370563118[/C][C]0.0479304271845244[/C][/ROW]
[ROW][C]0.48[/C][C]3.68956738925304[/C][C]0.0405030156446575[/C][/ROW]
[ROW][C]0.49[/C][C]3.6959794045049[/C][C]0.0343040493851338[/C][/ROW]
[ROW][C]0.5[/C][C]3.70147517165803[/C][C]0.029329820061987[/C][/ROW]
[ROW][C]0.51[/C][C]3.70624110752402[/C][C]0.0254973597622848[/C][/ROW]
[ROW][C]0.52[/C][C]3.71044579401523[/C][C]0.0226773933522879[/C][/ROW]
[ROW][C]0.53[/C][C]3.71423452570306[/C][C]0.0207000570887121[/C][/ROW]
[ROW][C]0.54[/C][C]3.71772686573819[/C][C]0.019385332605374[/C][/ROW]
[ROW][C]0.55[/C][C]3.72101662608248[/C][C]0.0185533904214039[/C][/ROW]
[ROW][C]0.56[/C][C]3.72417361480452[/C][C]0.0180552124978979[/C][/ROW]
[ROW][C]0.57[/C][C]3.72724652299243[/C][C]0.017753760001681[/C][/ROW]
[ROW][C]0.58[/C][C]3.73026641400997[/C][C]0.0175570190126531[/C][/ROW]
[ROW][C]0.59[/C][C]3.7332503911293[/C][C]0.0173906096443369[/C][/ROW]
[ROW][C]0.6[/C][C]3.73620513029674[/C][C]0.0172068786326516[/C][/ROW]
[ROW][C]0.61[/C][C]3.73913006008393[/C][C]0.0169791648246948[/C][/ROW]
[ROW][C]0.62[/C][C]3.74202004847377[/C][C]0.0166905188363131[/C][/ROW]
[ROW][C]0.63[/C][C]3.74486752002429[/C][C]0.0163392612863867[/C][/ROW]
[ROW][C]0.64[/C][C]3.7476639828477[/C][C]0.0159311055713871[/C][/ROW]
[ROW][C]0.65[/C][C]3.75040099668235[/C][C]0.0154718806626664[/C][/ROW]
[ROW][C]0.66[/C][C]3.75307066163367[/C][C]0.0149713825560102[/C][/ROW]
[ROW][C]0.67[/C][C]3.75566574910499[/C][C]0.0144346856964916[/C][/ROW]
[ROW][C]0.68[/C][C]3.75817962720653[/C][C]0.0138693461200921[/C][/ROW]
[ROW][C]0.69[/C][C]3.76060614735639[/C][C]0.0132754365079952[/C][/ROW]
[ROW][C]0.7[/C][C]3.76293965267032[/C][C]0.0126501880391427[/C][/ROW]
[ROW][C]0.71[/C][C]3.76517523950879[/C][C]0.0120015418695923[/C][/ROW]
[ROW][C]0.72[/C][C]3.76730935057447[/C][C]0.0113306852128888[/C][/ROW]
[ROW][C]0.73[/C][C]3.76934070310661[/C][C]0.0106481720024497[/C][/ROW]
[ROW][C]0.74[/C][C]3.77127146477334[/C][C]0.00996967920606534[/C][/ROW]
[ROW][C]0.75[/C][C]3.77310849458956[/C][C]0.0093205410121996[/C][/ROW]
[ROW][C]0.76[/C][C]3.77486438610092[/C][C]0.0087333684952106[/C][/ROW]
[ROW][C]0.77[/C][C]3.77655801196137[/C][C]0.00824210815716016[/C][/ROW]
[ROW][C]0.78[/C][C]3.77821430226919[/C][C]0.00788899149955096[/C][/ROW]
[ROW][C]0.79[/C][C]3.77986311570449[/C][C]0.00770027977328774[/C][/ROW]
[ROW][C]0.8[/C][C]3.78153728350875[/C][C]0.00768875560980934[/C][/ROW]
[ROW][C]0.81[/C][C]3.78327018747108[/C][C]0.00784504069523371[/C][/ROW]
[ROW][C]0.82[/C][C]3.78509349828825[/C][C]0.00813545408386737[/C][/ROW]
[ROW][C]0.83[/C][C]3.78703584105537[/C][C]0.0085155969796405[/C][/ROW]
[ROW][C]0.84[/C][C]3.78912306022152[/C][C]0.00894141815373327[/C][/ROW]
[ROW][C]0.85[/C][C]3.79138036946484[/C][C]0.00938905566386908[/C][/ROW]
[ROW][C]0.86[/C][C]3.79383604545658[/C][C]0.00986409832421706[/C][/ROW]
[ROW][C]0.87[/C][C]3.7965256472461[/C][C]0.0103954566371781[/C][/ROW]
[ROW][C]0.88[/C][C]3.79949528633918[/C][C]0.011031212049878[/C][/ROW]
[ROW][C]0.89[/C][C]3.80280244056259[/C][C]0.0118063584887204[/C][/ROW]
[ROW][C]0.9[/C][C]3.80651315864892[/C][C]0.0127215000889702[/C][/ROW]
[ROW][C]0.91[/C][C]3.81069494102296[/C][C]0.0137313792933308[/C][/ROW]
[ROW][C]0.92[/C][C]3.81540486432714[/C][C]0.0147545254296698[/C][/ROW]
[ROW][C]0.93[/C][C]3.82067299290216[/C][C]0.0156667898336912[/C][/ROW]
[ROW][C]0.94[/C][C]3.82648265532702[/C][C]0.0162884570753373[/C][/ROW]
[ROW][C]0.95[/C][C]3.83275125410964[/C][C]0.0163625310208524[/C][/ROW]
[ROW][C]0.96[/C][C]3.83931297895789[/C][C]0.0156211336701579[/C][/ROW]
[ROW][C]0.97[/C][C]3.84589110253407[/C][C]0.0139955107331371[/C][/ROW]
[ROW][C]0.98[/C][C]3.85203328964272[/C][C]0.0119126875537398[/C][/ROW]
[ROW][C]0.99[/C][C]3.85702837775564[/C][C]0.0103381833107711[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127392&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
0.013.103473274081450.0117279395911203
0.023.109514368828730.0148960490358622
0.033.117107200387590.0177267696545587
0.043.125299358955230.0193878667709146
0.053.133436399426780.019919205042458
0.063.141132586752210.0196034105497653
0.073.148194337130670.01872576395379
0.083.154566480264160.0176120948428567
0.093.160300845191460.0166535925031548
0.13.165532341218590.0162496751220807
0.113.170453244194490.0166889253079168
0.123.175284805698390.0180673694828187
0.133.180250484153120.0203293627364228
0.143.185555677602030.0233468589558686
0.153.191376244576430.0270048681184697
0.163.197854829065240.0312080953226541
0.173.205101961427740.0358801641881657
0.183.213198693786780.0409275148859745
0.193.222198695363380.0462505300890064
0.23.232129392849410.0517070653432341
0.213.242993089260580.057156198318103
0.223.254769569014210.0624612620594474
0.233.267421411989470.067528374874207
0.243.280902302535770.072323831164657
0.253.295167404864040.0769035124629211
0.263.310183799419290.0813986315875224
0.273.325938385857610.0859968108281664
0.283.342440762902920.0908863586583458
0.293.359719411627320.096212271075665
0.33.377810866280820.10199682563141
0.313.396743140641330.108110143664899
0.323.416516107089640.114262654751064
0.333.437082449121520.120040411262843
0.343.458332992297410.124949965839536
0.353.480089604982590.128493237721859
0.363.502107576517590.130235734861045
0.373.524087705687590.129859111582378
0.383.545696624984010.127227216911579
0.393.566592496476410.122369133759282
0.43.586452405142480.115495497140824
0.413.6049976659910.106968119402837
0.423.622013816931520.0972524697316751
0.433.637363121998090.0868633181015905
0.443.65098870990490.0763132167137775
0.453.662910754295650.0660662481528934
0.463.673216139407190.0565117674968266
0.473.682043705631180.0479304271845244
0.483.689567389253040.0405030156446575
0.493.69597940450490.0343040493851338
0.53.701475171658030.029329820061987
0.513.706241107524020.0254973597622848
0.523.710445794015230.0226773933522879
0.533.714234525703060.0207000570887121
0.543.717726865738190.019385332605374
0.553.721016626082480.0185533904214039
0.563.724173614804520.0180552124978979
0.573.727246522992430.017753760001681
0.583.730266414009970.0175570190126531
0.593.73325039112930.0173906096443369
0.63.736205130296740.0172068786326516
0.613.739130060083930.0169791648246948
0.623.742020048473770.0166905188363131
0.633.744867520024290.0163392612863867
0.643.74766398284770.0159311055713871
0.653.750400996682350.0154718806626664
0.663.753070661633670.0149713825560102
0.673.755665749104990.0144346856964916
0.683.758179627206530.0138693461200921
0.693.760606147356390.0132754365079952
0.73.762939652670320.0126501880391427
0.713.765175239508790.0120015418695923
0.723.767309350574470.0113306852128888
0.733.769340703106610.0106481720024497
0.743.771271464773340.00996967920606534
0.753.773108494589560.0093205410121996
0.763.774864386100920.0087333684952106
0.773.776558011961370.00824210815716016
0.783.778214302269190.00788899149955096
0.793.779863115704490.00770027977328774
0.83.781537283508750.00768875560980934
0.813.783270187471080.00784504069523371
0.823.785093498288250.00813545408386737
0.833.787035841055370.0085155969796405
0.843.789123060221520.00894141815373327
0.853.791380369464840.00938905566386908
0.863.793836045456580.00986409832421706
0.873.79652564724610.0103954566371781
0.883.799495286339180.011031212049878
0.893.802802440562590.0118063584887204
0.93.806513158648920.0127215000889702
0.913.810694941022960.0137313792933308
0.923.815404864327140.0147545254296698
0.933.820672992902160.0156667898336912
0.943.826482655327020.0162884570753373
0.953.832751254109640.0163625310208524
0.963.839312978957890.0156211336701579
0.973.845891102534070.0139955107331371
0.983.852033289642720.0119126875537398
0.993.857028377755640.0103381833107711


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')