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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, 20 May 2015 11:52:59 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/20/t1432119257pizc16a6z2v8wjr.htm/, Retrieved Mon, 29 Apr 2024 07:00:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279156, Retrieved Mon, 29 Apr 2024 07:00:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [consumentenprijze...] [2015-05-20 10:52:59] [0793dda36b6d92f80d1980fc1d00d6bd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.68
99.06
99.84
100.3
100.38
100.02
99.83
100.36
100.74
100.49
100.33
99.96
100.08
100.54
101.63
102.12
102.19
101.77
101.29
101.47
102.07
102.11
102.26
101.83
102.11
102.8
103.82
104.2
104.57
104.38
104.54
104.74
105.19
104.95
104.57
103.81
104.08
104.81
105.86
106.1
106.24
105.87
104.74
105.03
105.59
105.69
105.58
104.96
104.93
105.68
106.93
107.29
107.25
106.74
106.44
106.6
107.26
107.35
107.22
106.99
106.87
107.68
108.9
109.48
109.57
109.03
109.58
109.76
110.15
110.2
109.86
109.58
109.52
110.35
111.61
112.06
111.9
111.36
112.09
112.24
112.7
113.36
112.9
112.74
112.77
113.66
114.87
114.97
115
114.57
115.54
115.39
115.46
115.13
114.56
114.62

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279156&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279156&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.91408735565580.455938144997729
0.0299.26551186631790.468442623187085
0.0399.57556910368980.362432242403254
0.0499.79395493746770.253469439319586
0.0599.94049165778560.203750894407718
0.06100.0486578381050.197132656948894
0.07100.1413363925750.206243008313145
0.08100.2300420581470.22357946251798
0.09100.3209371197490.253574247248121
0.1100.4189706950730.300913800297054
0.11100.5287398371020.363930573960449
0.12100.6534910038360.433403508067731
0.13100.7939057852090.497931647795118
0.14100.9476833375620.546993492372708
0.15101.1101828548850.57482275509937
0.16101.2758249656220.581616086669408
0.17101.4396946474920.573275146525402
0.18101.5988201708090.559602813537443
0.19101.7528069013070.552051544030934
0.2101.9037482031330.560383724920913
0.21102.0555283723260.590314506779781
0.22102.2127450471680.641722296406623
0.23102.3795212174360.70815483016918
0.24102.5584685664370.779927704611695
0.25102.7500142237960.845467911399168
0.26102.9522160661550.894548978048639
0.27103.1610784039270.919520806991022
0.28103.3712648855410.916844173449468
0.29103.5770208021050.887370636690835
0.3103.7730875201170.835454469335497
0.31103.9554227740750.768478754533361
0.32104.1216156065110.694387127378214
0.33104.2709743588510.621123390534142
0.34104.4043411747180.554722018128985
0.35104.5237291531370.500221566573144
0.36104.6318859018310.459730951144998
0.37104.731869034210.434018161741568
0.38104.8266892988110.422152477160652
0.39104.9190478997750.421943564253047
0.4105.0111729747760.430425362034658
0.41105.1047471770530.444827003093699
0.42105.2009113460930.462530606777112
0.43105.3003252015970.48149199291052
0.44105.4032631865190.500077720788235
0.45105.5097223825370.517519789568759
0.46105.6195213777970.533465558322374
0.47105.7323752933750.547737195711813
0.48105.8479424530930.560195002698505
0.49105.9658499842430.570809016684255
0.5106.0857152178330.579403533526756
0.51106.2071834400980.585778783925424
0.52106.3299981695890.590661598932105
0.53106.4541079527160.594795331547047
0.54106.5797964606780.600392643172971
0.55106.7078051099310.609908452604388
0.56106.8394050494970.627002266837751
0.57106.9763733210890.653853991670616
0.58107.1208397841880.692653014459567
0.59107.2749974860.743082805656811
0.6107.4407058985150.802161116176052
0.61107.6190556910470.864594718838666
0.62107.8099938611490.923530426382804
0.63108.0121169620120.971650086627501
0.64108.2227194371291.00245668561374
0.65108.4381332981591.01160082022921
0.66108.6543243365080.998834278781231
0.67108.8676372074010.967576448179912
0.68109.0755289145960.924793624453916
0.69109.2771153355550.879861723889098
0.7109.4733859796920.843032897928119
0.71109.6670126065190.82285209088816
0.72109.8617709170020.823661898432417
0.73110.0616886069150.844963239109383
0.74110.2701050261130.880293467434973
0.75110.4888596642640.92005219782405
0.76110.7178086895160.953905992863579
0.77110.9548011649070.972876070543849
0.78111.1961421855710.971116184690915
0.79111.4374539947140.947751365872227
0.8111.6747492571280.906615057881175
0.81111.9054780649420.855331364821314
0.82112.1293082067970.804417673689812
0.83112.3484327178670.764503064825718
0.84112.5672520618460.744180667517028
0.85112.7913557743770.74715119395002
0.86113.0258679957760.769032399806665
0.87113.2734585464280.797693731987758
0.88113.5326148746310.815335194862821
0.89113.796952557630.804601066842332
0.9114.056184001630.754853462393571
0.91114.2987752860690.667375051240882
0.92114.5155263852890.555442128714971
0.93114.7027572463840.440109451276585
0.94114.8637244196350.342906798797608
0.95115.0071645095530.278198366164131
0.96115.1425044065250.243725148733654
0.97115.2732809383670.214738641886186
0.98115.3933754248490.16435373483935
0.99115.4887238960250.103395813419272
1115.54NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.9140873556558 & 0.455938144997729 \tabularnewline
0.02 & 99.2655118663179 & 0.468442623187085 \tabularnewline
0.03 & 99.5755691036898 & 0.362432242403254 \tabularnewline
0.04 & 99.7939549374677 & 0.253469439319586 \tabularnewline
0.05 & 99.9404916577856 & 0.203750894407718 \tabularnewline
0.06 & 100.048657838105 & 0.197132656948894 \tabularnewline
0.07 & 100.141336392575 & 0.206243008313145 \tabularnewline
0.08 & 100.230042058147 & 0.22357946251798 \tabularnewline
0.09 & 100.320937119749 & 0.253574247248121 \tabularnewline
0.1 & 100.418970695073 & 0.300913800297054 \tabularnewline
0.11 & 100.528739837102 & 0.363930573960449 \tabularnewline
0.12 & 100.653491003836 & 0.433403508067731 \tabularnewline
0.13 & 100.793905785209 & 0.497931647795118 \tabularnewline
0.14 & 100.947683337562 & 0.546993492372708 \tabularnewline
0.15 & 101.110182854885 & 0.57482275509937 \tabularnewline
0.16 & 101.275824965622 & 0.581616086669408 \tabularnewline
0.17 & 101.439694647492 & 0.573275146525402 \tabularnewline
0.18 & 101.598820170809 & 0.559602813537443 \tabularnewline
0.19 & 101.752806901307 & 0.552051544030934 \tabularnewline
0.2 & 101.903748203133 & 0.560383724920913 \tabularnewline
0.21 & 102.055528372326 & 0.590314506779781 \tabularnewline
0.22 & 102.212745047168 & 0.641722296406623 \tabularnewline
0.23 & 102.379521217436 & 0.70815483016918 \tabularnewline
0.24 & 102.558468566437 & 0.779927704611695 \tabularnewline
0.25 & 102.750014223796 & 0.845467911399168 \tabularnewline
0.26 & 102.952216066155 & 0.894548978048639 \tabularnewline
0.27 & 103.161078403927 & 0.919520806991022 \tabularnewline
0.28 & 103.371264885541 & 0.916844173449468 \tabularnewline
0.29 & 103.577020802105 & 0.887370636690835 \tabularnewline
0.3 & 103.773087520117 & 0.835454469335497 \tabularnewline
0.31 & 103.955422774075 & 0.768478754533361 \tabularnewline
0.32 & 104.121615606511 & 0.694387127378214 \tabularnewline
0.33 & 104.270974358851 & 0.621123390534142 \tabularnewline
0.34 & 104.404341174718 & 0.554722018128985 \tabularnewline
0.35 & 104.523729153137 & 0.500221566573144 \tabularnewline
0.36 & 104.631885901831 & 0.459730951144998 \tabularnewline
0.37 & 104.73186903421 & 0.434018161741568 \tabularnewline
0.38 & 104.826689298811 & 0.422152477160652 \tabularnewline
0.39 & 104.919047899775 & 0.421943564253047 \tabularnewline
0.4 & 105.011172974776 & 0.430425362034658 \tabularnewline
0.41 & 105.104747177053 & 0.444827003093699 \tabularnewline
0.42 & 105.200911346093 & 0.462530606777112 \tabularnewline
0.43 & 105.300325201597 & 0.48149199291052 \tabularnewline
0.44 & 105.403263186519 & 0.500077720788235 \tabularnewline
0.45 & 105.509722382537 & 0.517519789568759 \tabularnewline
0.46 & 105.619521377797 & 0.533465558322374 \tabularnewline
0.47 & 105.732375293375 & 0.547737195711813 \tabularnewline
0.48 & 105.847942453093 & 0.560195002698505 \tabularnewline
0.49 & 105.965849984243 & 0.570809016684255 \tabularnewline
0.5 & 106.085715217833 & 0.579403533526756 \tabularnewline
0.51 & 106.207183440098 & 0.585778783925424 \tabularnewline
0.52 & 106.329998169589 & 0.590661598932105 \tabularnewline
0.53 & 106.454107952716 & 0.594795331547047 \tabularnewline
0.54 & 106.579796460678 & 0.600392643172971 \tabularnewline
0.55 & 106.707805109931 & 0.609908452604388 \tabularnewline
0.56 & 106.839405049497 & 0.627002266837751 \tabularnewline
0.57 & 106.976373321089 & 0.653853991670616 \tabularnewline
0.58 & 107.120839784188 & 0.692653014459567 \tabularnewline
0.59 & 107.274997486 & 0.743082805656811 \tabularnewline
0.6 & 107.440705898515 & 0.802161116176052 \tabularnewline
0.61 & 107.619055691047 & 0.864594718838666 \tabularnewline
0.62 & 107.809993861149 & 0.923530426382804 \tabularnewline
0.63 & 108.012116962012 & 0.971650086627501 \tabularnewline
0.64 & 108.222719437129 & 1.00245668561374 \tabularnewline
0.65 & 108.438133298159 & 1.01160082022921 \tabularnewline
0.66 & 108.654324336508 & 0.998834278781231 \tabularnewline
0.67 & 108.867637207401 & 0.967576448179912 \tabularnewline
0.68 & 109.075528914596 & 0.924793624453916 \tabularnewline
0.69 & 109.277115335555 & 0.879861723889098 \tabularnewline
0.7 & 109.473385979692 & 0.843032897928119 \tabularnewline
0.71 & 109.667012606519 & 0.82285209088816 \tabularnewline
0.72 & 109.861770917002 & 0.823661898432417 \tabularnewline
0.73 & 110.061688606915 & 0.844963239109383 \tabularnewline
0.74 & 110.270105026113 & 0.880293467434973 \tabularnewline
0.75 & 110.488859664264 & 0.92005219782405 \tabularnewline
0.76 & 110.717808689516 & 0.953905992863579 \tabularnewline
0.77 & 110.954801164907 & 0.972876070543849 \tabularnewline
0.78 & 111.196142185571 & 0.971116184690915 \tabularnewline
0.79 & 111.437453994714 & 0.947751365872227 \tabularnewline
0.8 & 111.674749257128 & 0.906615057881175 \tabularnewline
0.81 & 111.905478064942 & 0.855331364821314 \tabularnewline
0.82 & 112.129308206797 & 0.804417673689812 \tabularnewline
0.83 & 112.348432717867 & 0.764503064825718 \tabularnewline
0.84 & 112.567252061846 & 0.744180667517028 \tabularnewline
0.85 & 112.791355774377 & 0.74715119395002 \tabularnewline
0.86 & 113.025867995776 & 0.769032399806665 \tabularnewline
0.87 & 113.273458546428 & 0.797693731987758 \tabularnewline
0.88 & 113.532614874631 & 0.815335194862821 \tabularnewline
0.89 & 113.79695255763 & 0.804601066842332 \tabularnewline
0.9 & 114.05618400163 & 0.754853462393571 \tabularnewline
0.91 & 114.298775286069 & 0.667375051240882 \tabularnewline
0.92 & 114.515526385289 & 0.555442128714971 \tabularnewline
0.93 & 114.702757246384 & 0.440109451276585 \tabularnewline
0.94 & 114.863724419635 & 0.342906798797608 \tabularnewline
0.95 & 115.007164509553 & 0.278198366164131 \tabularnewline
0.96 & 115.142504406525 & 0.243725148733654 \tabularnewline
0.97 & 115.273280938367 & 0.214738641886186 \tabularnewline
0.98 & 115.393375424849 & 0.16435373483935 \tabularnewline
0.99 & 115.488723896025 & 0.103395813419272 \tabularnewline
1 & 115.54 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279156&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]98.9140873556558[/C][C]0.455938144997729[/C][/ROW]
[ROW][C]0.02[/C][C]99.2655118663179[/C][C]0.468442623187085[/C][/ROW]
[ROW][C]0.03[/C][C]99.5755691036898[/C][C]0.362432242403254[/C][/ROW]
[ROW][C]0.04[/C][C]99.7939549374677[/C][C]0.253469439319586[/C][/ROW]
[ROW][C]0.05[/C][C]99.9404916577856[/C][C]0.203750894407718[/C][/ROW]
[ROW][C]0.06[/C][C]100.048657838105[/C][C]0.197132656948894[/C][/ROW]
[ROW][C]0.07[/C][C]100.141336392575[/C][C]0.206243008313145[/C][/ROW]
[ROW][C]0.08[/C][C]100.230042058147[/C][C]0.22357946251798[/C][/ROW]
[ROW][C]0.09[/C][C]100.320937119749[/C][C]0.253574247248121[/C][/ROW]
[ROW][C]0.1[/C][C]100.418970695073[/C][C]0.300913800297054[/C][/ROW]
[ROW][C]0.11[/C][C]100.528739837102[/C][C]0.363930573960449[/C][/ROW]
[ROW][C]0.12[/C][C]100.653491003836[/C][C]0.433403508067731[/C][/ROW]
[ROW][C]0.13[/C][C]100.793905785209[/C][C]0.497931647795118[/C][/ROW]
[ROW][C]0.14[/C][C]100.947683337562[/C][C]0.546993492372708[/C][/ROW]
[ROW][C]0.15[/C][C]101.110182854885[/C][C]0.57482275509937[/C][/ROW]
[ROW][C]0.16[/C][C]101.275824965622[/C][C]0.581616086669408[/C][/ROW]
[ROW][C]0.17[/C][C]101.439694647492[/C][C]0.573275146525402[/C][/ROW]
[ROW][C]0.18[/C][C]101.598820170809[/C][C]0.559602813537443[/C][/ROW]
[ROW][C]0.19[/C][C]101.752806901307[/C][C]0.552051544030934[/C][/ROW]
[ROW][C]0.2[/C][C]101.903748203133[/C][C]0.560383724920913[/C][/ROW]
[ROW][C]0.21[/C][C]102.055528372326[/C][C]0.590314506779781[/C][/ROW]
[ROW][C]0.22[/C][C]102.212745047168[/C][C]0.641722296406623[/C][/ROW]
[ROW][C]0.23[/C][C]102.379521217436[/C][C]0.70815483016918[/C][/ROW]
[ROW][C]0.24[/C][C]102.558468566437[/C][C]0.779927704611695[/C][/ROW]
[ROW][C]0.25[/C][C]102.750014223796[/C][C]0.845467911399168[/C][/ROW]
[ROW][C]0.26[/C][C]102.952216066155[/C][C]0.894548978048639[/C][/ROW]
[ROW][C]0.27[/C][C]103.161078403927[/C][C]0.919520806991022[/C][/ROW]
[ROW][C]0.28[/C][C]103.371264885541[/C][C]0.916844173449468[/C][/ROW]
[ROW][C]0.29[/C][C]103.577020802105[/C][C]0.887370636690835[/C][/ROW]
[ROW][C]0.3[/C][C]103.773087520117[/C][C]0.835454469335497[/C][/ROW]
[ROW][C]0.31[/C][C]103.955422774075[/C][C]0.768478754533361[/C][/ROW]
[ROW][C]0.32[/C][C]104.121615606511[/C][C]0.694387127378214[/C][/ROW]
[ROW][C]0.33[/C][C]104.270974358851[/C][C]0.621123390534142[/C][/ROW]
[ROW][C]0.34[/C][C]104.404341174718[/C][C]0.554722018128985[/C][/ROW]
[ROW][C]0.35[/C][C]104.523729153137[/C][C]0.500221566573144[/C][/ROW]
[ROW][C]0.36[/C][C]104.631885901831[/C][C]0.459730951144998[/C][/ROW]
[ROW][C]0.37[/C][C]104.73186903421[/C][C]0.434018161741568[/C][/ROW]
[ROW][C]0.38[/C][C]104.826689298811[/C][C]0.422152477160652[/C][/ROW]
[ROW][C]0.39[/C][C]104.919047899775[/C][C]0.421943564253047[/C][/ROW]
[ROW][C]0.4[/C][C]105.011172974776[/C][C]0.430425362034658[/C][/ROW]
[ROW][C]0.41[/C][C]105.104747177053[/C][C]0.444827003093699[/C][/ROW]
[ROW][C]0.42[/C][C]105.200911346093[/C][C]0.462530606777112[/C][/ROW]
[ROW][C]0.43[/C][C]105.300325201597[/C][C]0.48149199291052[/C][/ROW]
[ROW][C]0.44[/C][C]105.403263186519[/C][C]0.500077720788235[/C][/ROW]
[ROW][C]0.45[/C][C]105.509722382537[/C][C]0.517519789568759[/C][/ROW]
[ROW][C]0.46[/C][C]105.619521377797[/C][C]0.533465558322374[/C][/ROW]
[ROW][C]0.47[/C][C]105.732375293375[/C][C]0.547737195711813[/C][/ROW]
[ROW][C]0.48[/C][C]105.847942453093[/C][C]0.560195002698505[/C][/ROW]
[ROW][C]0.49[/C][C]105.965849984243[/C][C]0.570809016684255[/C][/ROW]
[ROW][C]0.5[/C][C]106.085715217833[/C][C]0.579403533526756[/C][/ROW]
[ROW][C]0.51[/C][C]106.207183440098[/C][C]0.585778783925424[/C][/ROW]
[ROW][C]0.52[/C][C]106.329998169589[/C][C]0.590661598932105[/C][/ROW]
[ROW][C]0.53[/C][C]106.454107952716[/C][C]0.594795331547047[/C][/ROW]
[ROW][C]0.54[/C][C]106.579796460678[/C][C]0.600392643172971[/C][/ROW]
[ROW][C]0.55[/C][C]106.707805109931[/C][C]0.609908452604388[/C][/ROW]
[ROW][C]0.56[/C][C]106.839405049497[/C][C]0.627002266837751[/C][/ROW]
[ROW][C]0.57[/C][C]106.976373321089[/C][C]0.653853991670616[/C][/ROW]
[ROW][C]0.58[/C][C]107.120839784188[/C][C]0.692653014459567[/C][/ROW]
[ROW][C]0.59[/C][C]107.274997486[/C][C]0.743082805656811[/C][/ROW]
[ROW][C]0.6[/C][C]107.440705898515[/C][C]0.802161116176052[/C][/ROW]
[ROW][C]0.61[/C][C]107.619055691047[/C][C]0.864594718838666[/C][/ROW]
[ROW][C]0.62[/C][C]107.809993861149[/C][C]0.923530426382804[/C][/ROW]
[ROW][C]0.63[/C][C]108.012116962012[/C][C]0.971650086627501[/C][/ROW]
[ROW][C]0.64[/C][C]108.222719437129[/C][C]1.00245668561374[/C][/ROW]
[ROW][C]0.65[/C][C]108.438133298159[/C][C]1.01160082022921[/C][/ROW]
[ROW][C]0.66[/C][C]108.654324336508[/C][C]0.998834278781231[/C][/ROW]
[ROW][C]0.67[/C][C]108.867637207401[/C][C]0.967576448179912[/C][/ROW]
[ROW][C]0.68[/C][C]109.075528914596[/C][C]0.924793624453916[/C][/ROW]
[ROW][C]0.69[/C][C]109.277115335555[/C][C]0.879861723889098[/C][/ROW]
[ROW][C]0.7[/C][C]109.473385979692[/C][C]0.843032897928119[/C][/ROW]
[ROW][C]0.71[/C][C]109.667012606519[/C][C]0.82285209088816[/C][/ROW]
[ROW][C]0.72[/C][C]109.861770917002[/C][C]0.823661898432417[/C][/ROW]
[ROW][C]0.73[/C][C]110.061688606915[/C][C]0.844963239109383[/C][/ROW]
[ROW][C]0.74[/C][C]110.270105026113[/C][C]0.880293467434973[/C][/ROW]
[ROW][C]0.75[/C][C]110.488859664264[/C][C]0.92005219782405[/C][/ROW]
[ROW][C]0.76[/C][C]110.717808689516[/C][C]0.953905992863579[/C][/ROW]
[ROW][C]0.77[/C][C]110.954801164907[/C][C]0.972876070543849[/C][/ROW]
[ROW][C]0.78[/C][C]111.196142185571[/C][C]0.971116184690915[/C][/ROW]
[ROW][C]0.79[/C][C]111.437453994714[/C][C]0.947751365872227[/C][/ROW]
[ROW][C]0.8[/C][C]111.674749257128[/C][C]0.906615057881175[/C][/ROW]
[ROW][C]0.81[/C][C]111.905478064942[/C][C]0.855331364821314[/C][/ROW]
[ROW][C]0.82[/C][C]112.129308206797[/C][C]0.804417673689812[/C][/ROW]
[ROW][C]0.83[/C][C]112.348432717867[/C][C]0.764503064825718[/C][/ROW]
[ROW][C]0.84[/C][C]112.567252061846[/C][C]0.744180667517028[/C][/ROW]
[ROW][C]0.85[/C][C]112.791355774377[/C][C]0.74715119395002[/C][/ROW]
[ROW][C]0.86[/C][C]113.025867995776[/C][C]0.769032399806665[/C][/ROW]
[ROW][C]0.87[/C][C]113.273458546428[/C][C]0.797693731987758[/C][/ROW]
[ROW][C]0.88[/C][C]113.532614874631[/C][C]0.815335194862821[/C][/ROW]
[ROW][C]0.89[/C][C]113.79695255763[/C][C]0.804601066842332[/C][/ROW]
[ROW][C]0.9[/C][C]114.05618400163[/C][C]0.754853462393571[/C][/ROW]
[ROW][C]0.91[/C][C]114.298775286069[/C][C]0.667375051240882[/C][/ROW]
[ROW][C]0.92[/C][C]114.515526385289[/C][C]0.555442128714971[/C][/ROW]
[ROW][C]0.93[/C][C]114.702757246384[/C][C]0.440109451276585[/C][/ROW]
[ROW][C]0.94[/C][C]114.863724419635[/C][C]0.342906798797608[/C][/ROW]
[ROW][C]0.95[/C][C]115.007164509553[/C][C]0.278198366164131[/C][/ROW]
[ROW][C]0.96[/C][C]115.142504406525[/C][C]0.243725148733654[/C][/ROW]
[ROW][C]0.97[/C][C]115.273280938367[/C][C]0.214738641886186[/C][/ROW]
[ROW][C]0.98[/C][C]115.393375424849[/C][C]0.16435373483935[/C][/ROW]
[ROW][C]0.99[/C][C]115.488723896025[/C][C]0.103395813419272[/C][/ROW]
[ROW][C]1[/C][C]115.54[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279156&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
0.0198.91408735565580.455938144997729
0.0299.26551186631790.468442623187085
0.0399.57556910368980.362432242403254
0.0499.79395493746770.253469439319586
0.0599.94049165778560.203750894407718
0.06100.0486578381050.197132656948894
0.07100.1413363925750.206243008313145
0.08100.2300420581470.22357946251798
0.09100.3209371197490.253574247248121
0.1100.4189706950730.300913800297054
0.11100.5287398371020.363930573960449
0.12100.6534910038360.433403508067731
0.13100.7939057852090.497931647795118
0.14100.9476833375620.546993492372708
0.15101.1101828548850.57482275509937
0.16101.2758249656220.581616086669408
0.17101.4396946474920.573275146525402
0.18101.5988201708090.559602813537443
0.19101.7528069013070.552051544030934
0.2101.9037482031330.560383724920913
0.21102.0555283723260.590314506779781
0.22102.2127450471680.641722296406623
0.23102.3795212174360.70815483016918
0.24102.5584685664370.779927704611695
0.25102.7500142237960.845467911399168
0.26102.9522160661550.894548978048639
0.27103.1610784039270.919520806991022
0.28103.3712648855410.916844173449468
0.29103.5770208021050.887370636690835
0.3103.7730875201170.835454469335497
0.31103.9554227740750.768478754533361
0.32104.1216156065110.694387127378214
0.33104.2709743588510.621123390534142
0.34104.4043411747180.554722018128985
0.35104.5237291531370.500221566573144
0.36104.6318859018310.459730951144998
0.37104.731869034210.434018161741568
0.38104.8266892988110.422152477160652
0.39104.9190478997750.421943564253047
0.4105.0111729747760.430425362034658
0.41105.1047471770530.444827003093699
0.42105.2009113460930.462530606777112
0.43105.3003252015970.48149199291052
0.44105.4032631865190.500077720788235
0.45105.5097223825370.517519789568759
0.46105.6195213777970.533465558322374
0.47105.7323752933750.547737195711813
0.48105.8479424530930.560195002698505
0.49105.9658499842430.570809016684255
0.5106.0857152178330.579403533526756
0.51106.2071834400980.585778783925424
0.52106.3299981695890.590661598932105
0.53106.4541079527160.594795331547047
0.54106.5797964606780.600392643172971
0.55106.7078051099310.609908452604388
0.56106.8394050494970.627002266837751
0.57106.9763733210890.653853991670616
0.58107.1208397841880.692653014459567
0.59107.2749974860.743082805656811
0.6107.4407058985150.802161116176052
0.61107.6190556910470.864594718838666
0.62107.8099938611490.923530426382804
0.63108.0121169620120.971650086627501
0.64108.2227194371291.00245668561374
0.65108.4381332981591.01160082022921
0.66108.6543243365080.998834278781231
0.67108.8676372074010.967576448179912
0.68109.0755289145960.924793624453916
0.69109.2771153355550.879861723889098
0.7109.4733859796920.843032897928119
0.71109.6670126065190.82285209088816
0.72109.8617709170020.823661898432417
0.73110.0616886069150.844963239109383
0.74110.2701050261130.880293467434973
0.75110.4888596642640.92005219782405
0.76110.7178086895160.953905992863579
0.77110.9548011649070.972876070543849
0.78111.1961421855710.971116184690915
0.79111.4374539947140.947751365872227
0.8111.6747492571280.906615057881175
0.81111.9054780649420.855331364821314
0.82112.1293082067970.804417673689812
0.83112.3484327178670.764503064825718
0.84112.5672520618460.744180667517028
0.85112.7913557743770.74715119395002
0.86113.0258679957760.769032399806665
0.87113.2734585464280.797693731987758
0.88113.5326148746310.815335194862821
0.89113.796952557630.804601066842332
0.9114.056184001630.754853462393571
0.91114.2987752860690.667375051240882
0.92114.5155263852890.555442128714971
0.93114.7027572463840.440109451276585
0.94114.8637244196350.342906798797608
0.95115.0071645095530.278198366164131
0.96115.1425044065250.243725148733654
0.97115.2732809383670.214738641886186
0.98115.3933754248490.16435373483935
0.99115.4887238960250.103395813419272
1115.54NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = no ; par3 = 512 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '1'
par1 <- '0.01'
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')