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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 28 Oct 2008 02:44:34 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225183531zs67jf8ejibn85g.htm/, Retrieved Thu, 16 May 2024 07:19:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19760, Retrieved Thu, 16 May 2024 07:19:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD    [Harrell-Davis Quantiles] [werkloosheidsgraa...] [2008-10-28 08:44:34] [e8f764b122b426f433a1e1038b457077] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,3
7,6
7,5
7,6
7,9
7,9
8,1
8,2
8
7,5
6,8
6,5
6,6
7,6
8
8
7,7
7,5
7,6
7,7
7,9
7,8
7,5
7,5
7,1
7,5
7,5
7,6
7,7
7,7
7,9
8,1
8,2
8,2
8,1
7,9
7,3
6,9
6,6
6,7
6,9
7
7,1
7,2
7,1
6,9
7
6,8
6,4
6,7
6,7
6,4
6,3
6,2
6,5
6,8
6,8
6,5
6,3
5,9
5,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19760&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19760&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19760&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.920163684452150.064251131781417
0.025.964326475669880.133820644322213
0.036.027756895885880.173325081684240
0.046.099619058553580.177470865175010
0.056.169506993120550.159904659507370
0.066.231210529646850.136665794925351
0.076.282987960664240.117660146346518
0.086.325957819979260.105748603227054
0.096.362309696150380.0995875167874085
0.16.394156177886230.0968362049801198
0.116.423083835147230.0958475931740167
0.126.450137458525330.095855727790848
0.136.475966861799850.0965928430609977
0.146.500976720274250.0979348031890716
0.156.525423750022050.0996805797406974
0.166.549464045386720.101533948011711
0.176.573172868304620.103137526797667
0.186.596557175750930.104193514997174
0.196.619571867750180.104512388632797
0.26.642141984598760.104077970702460
0.216.664187810575490.102992058639669
0.226.685648160716190.101487867594728
0.236.706497914903920.099843453573325
0.246.726757761109210.0983568766191904
0.256.746496050577630.0973154347817392
0.266.76582406509980.096948124248145
0.276.784886699410030.097434444670688
0.286.803850693243470.0988660024590652
0.296.822892325741580.101261687557770
0.36.8421860972460.104564990539470
0.316.861895477480940.108686036293631
0.326.882166333619430.113487747692585
0.336.903123176897550.118840069127039
0.346.924867900736670.124614459479754
0.356.947480270999070.130701920193328
0.366.97101913565950.137011038951737
0.376.995523214809450.14347076938585
0.387.021010459356360.149982795557474
0.397.047475334167980.156426833991598
0.47.074883943855670.162648073686276
0.417.1031675823270.168423120355367
0.427.132215919809880.173472174385377
0.437.161871499905660.177463574123284
0.447.191927378994420.180063972363863
0.457.2221295246320.180939748217982
0.467.25218499518410.179851785378934
0.477.281776029595060.176638590348442
0.487.310579137858080.171291732159064
0.497.33828729995460.163953709361873
0.57.364632659308960.154922321969576
0.517.38940680056850.144614932362278
0.527.412475914388460.133555315649213
0.537.433788853802550.122299695952586
0.547.453377154254920.111404874172090
0.557.471347320133550.101360693273426
0.567.487866837002130.0925639635240643
0.577.503146230115940.0852623750175737
0.587.517419901506180.0795587065021535
0.597.530928383870330.0754137946932471
0.67.543904100899970.0726801092173524
0.617.556561861244090.0711439135330194
0.627.569094328552760.070611800826219
0.637.581671796862830.0709017373325014
0.647.594444911630760.0718962790074653
0.657.607548597455830.0735188944237567
0.667.621105400492340.0757216569909628
0.677.635226694029470.0784648362120859
0.687.650010677283370.0816895235098926
0.697.665536770615070.0852924688782616
0.77.681856830587130.0891268778817752
0.717.698984513399340.0929573354954059
0.727.716884990052050.0964900974219993
0.737.735467868168960.0993846113898325
0.747.754586347585770.101287341793539
0.757.77404507994570.101896450149504
0.767.793617789887620.101026481463511
0.777.81307356550230.0986569237058767
0.787.83220826780350.094971463357746
0.797.850875430819240.0903504288956187
0.87.869010079296190.0853383666939205
0.817.886639611135180.0805362774913788
0.827.903878317968150.0764929125930104
0.837.920905706546010.073566976497936
0.847.93793258766640.0718415132333265
0.857.955161972247080.0711098567650247
0.867.972753599702520.0709828954834288
0.877.990801263319670.070985157854569
0.888.009330660627260.070680179945678
0.898.028320993809660.0697505969289509
0.98.047743826126330.0681094390473987
0.918.067597101880.0659767409286024
0.928.08789623652250.0638232242268742
0.938.108583044452760.0619629177799385
0.948.129347591850260.0598728474873776
0.958.149434984569090.0558476716765525
0.968.167594776844260.047818294918494
0.978.182341203451810.0351283992867828
0.988.192542073934290.0199790776960038
0.998.198065401514060.00693625535869394

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.92016368445215 & 0.064251131781417 \tabularnewline
0.02 & 5.96432647566988 & 0.133820644322213 \tabularnewline
0.03 & 6.02775689588588 & 0.173325081684240 \tabularnewline
0.04 & 6.09961905855358 & 0.177470865175010 \tabularnewline
0.05 & 6.16950699312055 & 0.159904659507370 \tabularnewline
0.06 & 6.23121052964685 & 0.136665794925351 \tabularnewline
0.07 & 6.28298796066424 & 0.117660146346518 \tabularnewline
0.08 & 6.32595781997926 & 0.105748603227054 \tabularnewline
0.09 & 6.36230969615038 & 0.0995875167874085 \tabularnewline
0.1 & 6.39415617788623 & 0.0968362049801198 \tabularnewline
0.11 & 6.42308383514723 & 0.0958475931740167 \tabularnewline
0.12 & 6.45013745852533 & 0.095855727790848 \tabularnewline
0.13 & 6.47596686179985 & 0.0965928430609977 \tabularnewline
0.14 & 6.50097672027425 & 0.0979348031890716 \tabularnewline
0.15 & 6.52542375002205 & 0.0996805797406974 \tabularnewline
0.16 & 6.54946404538672 & 0.101533948011711 \tabularnewline
0.17 & 6.57317286830462 & 0.103137526797667 \tabularnewline
0.18 & 6.59655717575093 & 0.104193514997174 \tabularnewline
0.19 & 6.61957186775018 & 0.104512388632797 \tabularnewline
0.2 & 6.64214198459876 & 0.104077970702460 \tabularnewline
0.21 & 6.66418781057549 & 0.102992058639669 \tabularnewline
0.22 & 6.68564816071619 & 0.101487867594728 \tabularnewline
0.23 & 6.70649791490392 & 0.099843453573325 \tabularnewline
0.24 & 6.72675776110921 & 0.0983568766191904 \tabularnewline
0.25 & 6.74649605057763 & 0.0973154347817392 \tabularnewline
0.26 & 6.7658240650998 & 0.096948124248145 \tabularnewline
0.27 & 6.78488669941003 & 0.097434444670688 \tabularnewline
0.28 & 6.80385069324347 & 0.0988660024590652 \tabularnewline
0.29 & 6.82289232574158 & 0.101261687557770 \tabularnewline
0.3 & 6.842186097246 & 0.104564990539470 \tabularnewline
0.31 & 6.86189547748094 & 0.108686036293631 \tabularnewline
0.32 & 6.88216633361943 & 0.113487747692585 \tabularnewline
0.33 & 6.90312317689755 & 0.118840069127039 \tabularnewline
0.34 & 6.92486790073667 & 0.124614459479754 \tabularnewline
0.35 & 6.94748027099907 & 0.130701920193328 \tabularnewline
0.36 & 6.9710191356595 & 0.137011038951737 \tabularnewline
0.37 & 6.99552321480945 & 0.14347076938585 \tabularnewline
0.38 & 7.02101045935636 & 0.149982795557474 \tabularnewline
0.39 & 7.04747533416798 & 0.156426833991598 \tabularnewline
0.4 & 7.07488394385567 & 0.162648073686276 \tabularnewline
0.41 & 7.103167582327 & 0.168423120355367 \tabularnewline
0.42 & 7.13221591980988 & 0.173472174385377 \tabularnewline
0.43 & 7.16187149990566 & 0.177463574123284 \tabularnewline
0.44 & 7.19192737899442 & 0.180063972363863 \tabularnewline
0.45 & 7.222129524632 & 0.180939748217982 \tabularnewline
0.46 & 7.2521849951841 & 0.179851785378934 \tabularnewline
0.47 & 7.28177602959506 & 0.176638590348442 \tabularnewline
0.48 & 7.31057913785808 & 0.171291732159064 \tabularnewline
0.49 & 7.3382872999546 & 0.163953709361873 \tabularnewline
0.5 & 7.36463265930896 & 0.154922321969576 \tabularnewline
0.51 & 7.3894068005685 & 0.144614932362278 \tabularnewline
0.52 & 7.41247591438846 & 0.133555315649213 \tabularnewline
0.53 & 7.43378885380255 & 0.122299695952586 \tabularnewline
0.54 & 7.45337715425492 & 0.111404874172090 \tabularnewline
0.55 & 7.47134732013355 & 0.101360693273426 \tabularnewline
0.56 & 7.48786683700213 & 0.0925639635240643 \tabularnewline
0.57 & 7.50314623011594 & 0.0852623750175737 \tabularnewline
0.58 & 7.51741990150618 & 0.0795587065021535 \tabularnewline
0.59 & 7.53092838387033 & 0.0754137946932471 \tabularnewline
0.6 & 7.54390410089997 & 0.0726801092173524 \tabularnewline
0.61 & 7.55656186124409 & 0.0711439135330194 \tabularnewline
0.62 & 7.56909432855276 & 0.070611800826219 \tabularnewline
0.63 & 7.58167179686283 & 0.0709017373325014 \tabularnewline
0.64 & 7.59444491163076 & 0.0718962790074653 \tabularnewline
0.65 & 7.60754859745583 & 0.0735188944237567 \tabularnewline
0.66 & 7.62110540049234 & 0.0757216569909628 \tabularnewline
0.67 & 7.63522669402947 & 0.0784648362120859 \tabularnewline
0.68 & 7.65001067728337 & 0.0816895235098926 \tabularnewline
0.69 & 7.66553677061507 & 0.0852924688782616 \tabularnewline
0.7 & 7.68185683058713 & 0.0891268778817752 \tabularnewline
0.71 & 7.69898451339934 & 0.0929573354954059 \tabularnewline
0.72 & 7.71688499005205 & 0.0964900974219993 \tabularnewline
0.73 & 7.73546786816896 & 0.0993846113898325 \tabularnewline
0.74 & 7.75458634758577 & 0.101287341793539 \tabularnewline
0.75 & 7.7740450799457 & 0.101896450149504 \tabularnewline
0.76 & 7.79361778988762 & 0.101026481463511 \tabularnewline
0.77 & 7.8130735655023 & 0.0986569237058767 \tabularnewline
0.78 & 7.8322082678035 & 0.094971463357746 \tabularnewline
0.79 & 7.85087543081924 & 0.0903504288956187 \tabularnewline
0.8 & 7.86901007929619 & 0.0853383666939205 \tabularnewline
0.81 & 7.88663961113518 & 0.0805362774913788 \tabularnewline
0.82 & 7.90387831796815 & 0.0764929125930104 \tabularnewline
0.83 & 7.92090570654601 & 0.073566976497936 \tabularnewline
0.84 & 7.9379325876664 & 0.0718415132333265 \tabularnewline
0.85 & 7.95516197224708 & 0.0711098567650247 \tabularnewline
0.86 & 7.97275359970252 & 0.0709828954834288 \tabularnewline
0.87 & 7.99080126331967 & 0.070985157854569 \tabularnewline
0.88 & 8.00933066062726 & 0.070680179945678 \tabularnewline
0.89 & 8.02832099380966 & 0.0697505969289509 \tabularnewline
0.9 & 8.04774382612633 & 0.0681094390473987 \tabularnewline
0.91 & 8.06759710188 & 0.0659767409286024 \tabularnewline
0.92 & 8.0878962365225 & 0.0638232242268742 \tabularnewline
0.93 & 8.10858304445276 & 0.0619629177799385 \tabularnewline
0.94 & 8.12934759185026 & 0.0598728474873776 \tabularnewline
0.95 & 8.14943498456909 & 0.0558476716765525 \tabularnewline
0.96 & 8.16759477684426 & 0.047818294918494 \tabularnewline
0.97 & 8.18234120345181 & 0.0351283992867828 \tabularnewline
0.98 & 8.19254207393429 & 0.0199790776960038 \tabularnewline
0.99 & 8.19806540151406 & 0.00693625535869394 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19760&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]5.92016368445215[/C][C]0.064251131781417[/C][/ROW]
[ROW][C]0.02[/C][C]5.96432647566988[/C][C]0.133820644322213[/C][/ROW]
[ROW][C]0.03[/C][C]6.02775689588588[/C][C]0.173325081684240[/C][/ROW]
[ROW][C]0.04[/C][C]6.09961905855358[/C][C]0.177470865175010[/C][/ROW]
[ROW][C]0.05[/C][C]6.16950699312055[/C][C]0.159904659507370[/C][/ROW]
[ROW][C]0.06[/C][C]6.23121052964685[/C][C]0.136665794925351[/C][/ROW]
[ROW][C]0.07[/C][C]6.28298796066424[/C][C]0.117660146346518[/C][/ROW]
[ROW][C]0.08[/C][C]6.32595781997926[/C][C]0.105748603227054[/C][/ROW]
[ROW][C]0.09[/C][C]6.36230969615038[/C][C]0.0995875167874085[/C][/ROW]
[ROW][C]0.1[/C][C]6.39415617788623[/C][C]0.0968362049801198[/C][/ROW]
[ROW][C]0.11[/C][C]6.42308383514723[/C][C]0.0958475931740167[/C][/ROW]
[ROW][C]0.12[/C][C]6.45013745852533[/C][C]0.095855727790848[/C][/ROW]
[ROW][C]0.13[/C][C]6.47596686179985[/C][C]0.0965928430609977[/C][/ROW]
[ROW][C]0.14[/C][C]6.50097672027425[/C][C]0.0979348031890716[/C][/ROW]
[ROW][C]0.15[/C][C]6.52542375002205[/C][C]0.0996805797406974[/C][/ROW]
[ROW][C]0.16[/C][C]6.54946404538672[/C][C]0.101533948011711[/C][/ROW]
[ROW][C]0.17[/C][C]6.57317286830462[/C][C]0.103137526797667[/C][/ROW]
[ROW][C]0.18[/C][C]6.59655717575093[/C][C]0.104193514997174[/C][/ROW]
[ROW][C]0.19[/C][C]6.61957186775018[/C][C]0.104512388632797[/C][/ROW]
[ROW][C]0.2[/C][C]6.64214198459876[/C][C]0.104077970702460[/C][/ROW]
[ROW][C]0.21[/C][C]6.66418781057549[/C][C]0.102992058639669[/C][/ROW]
[ROW][C]0.22[/C][C]6.68564816071619[/C][C]0.101487867594728[/C][/ROW]
[ROW][C]0.23[/C][C]6.70649791490392[/C][C]0.099843453573325[/C][/ROW]
[ROW][C]0.24[/C][C]6.72675776110921[/C][C]0.0983568766191904[/C][/ROW]
[ROW][C]0.25[/C][C]6.74649605057763[/C][C]0.0973154347817392[/C][/ROW]
[ROW][C]0.26[/C][C]6.7658240650998[/C][C]0.096948124248145[/C][/ROW]
[ROW][C]0.27[/C][C]6.78488669941003[/C][C]0.097434444670688[/C][/ROW]
[ROW][C]0.28[/C][C]6.80385069324347[/C][C]0.0988660024590652[/C][/ROW]
[ROW][C]0.29[/C][C]6.82289232574158[/C][C]0.101261687557770[/C][/ROW]
[ROW][C]0.3[/C][C]6.842186097246[/C][C]0.104564990539470[/C][/ROW]
[ROW][C]0.31[/C][C]6.86189547748094[/C][C]0.108686036293631[/C][/ROW]
[ROW][C]0.32[/C][C]6.88216633361943[/C][C]0.113487747692585[/C][/ROW]
[ROW][C]0.33[/C][C]6.90312317689755[/C][C]0.118840069127039[/C][/ROW]
[ROW][C]0.34[/C][C]6.92486790073667[/C][C]0.124614459479754[/C][/ROW]
[ROW][C]0.35[/C][C]6.94748027099907[/C][C]0.130701920193328[/C][/ROW]
[ROW][C]0.36[/C][C]6.9710191356595[/C][C]0.137011038951737[/C][/ROW]
[ROW][C]0.37[/C][C]6.99552321480945[/C][C]0.14347076938585[/C][/ROW]
[ROW][C]0.38[/C][C]7.02101045935636[/C][C]0.149982795557474[/C][/ROW]
[ROW][C]0.39[/C][C]7.04747533416798[/C][C]0.156426833991598[/C][/ROW]
[ROW][C]0.4[/C][C]7.07488394385567[/C][C]0.162648073686276[/C][/ROW]
[ROW][C]0.41[/C][C]7.103167582327[/C][C]0.168423120355367[/C][/ROW]
[ROW][C]0.42[/C][C]7.13221591980988[/C][C]0.173472174385377[/C][/ROW]
[ROW][C]0.43[/C][C]7.16187149990566[/C][C]0.177463574123284[/C][/ROW]
[ROW][C]0.44[/C][C]7.19192737899442[/C][C]0.180063972363863[/C][/ROW]
[ROW][C]0.45[/C][C]7.222129524632[/C][C]0.180939748217982[/C][/ROW]
[ROW][C]0.46[/C][C]7.2521849951841[/C][C]0.179851785378934[/C][/ROW]
[ROW][C]0.47[/C][C]7.28177602959506[/C][C]0.176638590348442[/C][/ROW]
[ROW][C]0.48[/C][C]7.31057913785808[/C][C]0.171291732159064[/C][/ROW]
[ROW][C]0.49[/C][C]7.3382872999546[/C][C]0.163953709361873[/C][/ROW]
[ROW][C]0.5[/C][C]7.36463265930896[/C][C]0.154922321969576[/C][/ROW]
[ROW][C]0.51[/C][C]7.3894068005685[/C][C]0.144614932362278[/C][/ROW]
[ROW][C]0.52[/C][C]7.41247591438846[/C][C]0.133555315649213[/C][/ROW]
[ROW][C]0.53[/C][C]7.43378885380255[/C][C]0.122299695952586[/C][/ROW]
[ROW][C]0.54[/C][C]7.45337715425492[/C][C]0.111404874172090[/C][/ROW]
[ROW][C]0.55[/C][C]7.47134732013355[/C][C]0.101360693273426[/C][/ROW]
[ROW][C]0.56[/C][C]7.48786683700213[/C][C]0.0925639635240643[/C][/ROW]
[ROW][C]0.57[/C][C]7.50314623011594[/C][C]0.0852623750175737[/C][/ROW]
[ROW][C]0.58[/C][C]7.51741990150618[/C][C]0.0795587065021535[/C][/ROW]
[ROW][C]0.59[/C][C]7.53092838387033[/C][C]0.0754137946932471[/C][/ROW]
[ROW][C]0.6[/C][C]7.54390410089997[/C][C]0.0726801092173524[/C][/ROW]
[ROW][C]0.61[/C][C]7.55656186124409[/C][C]0.0711439135330194[/C][/ROW]
[ROW][C]0.62[/C][C]7.56909432855276[/C][C]0.070611800826219[/C][/ROW]
[ROW][C]0.63[/C][C]7.58167179686283[/C][C]0.0709017373325014[/C][/ROW]
[ROW][C]0.64[/C][C]7.59444491163076[/C][C]0.0718962790074653[/C][/ROW]
[ROW][C]0.65[/C][C]7.60754859745583[/C][C]0.0735188944237567[/C][/ROW]
[ROW][C]0.66[/C][C]7.62110540049234[/C][C]0.0757216569909628[/C][/ROW]
[ROW][C]0.67[/C][C]7.63522669402947[/C][C]0.0784648362120859[/C][/ROW]
[ROW][C]0.68[/C][C]7.65001067728337[/C][C]0.0816895235098926[/C][/ROW]
[ROW][C]0.69[/C][C]7.66553677061507[/C][C]0.0852924688782616[/C][/ROW]
[ROW][C]0.7[/C][C]7.68185683058713[/C][C]0.0891268778817752[/C][/ROW]
[ROW][C]0.71[/C][C]7.69898451339934[/C][C]0.0929573354954059[/C][/ROW]
[ROW][C]0.72[/C][C]7.71688499005205[/C][C]0.0964900974219993[/C][/ROW]
[ROW][C]0.73[/C][C]7.73546786816896[/C][C]0.0993846113898325[/C][/ROW]
[ROW][C]0.74[/C][C]7.75458634758577[/C][C]0.101287341793539[/C][/ROW]
[ROW][C]0.75[/C][C]7.7740450799457[/C][C]0.101896450149504[/C][/ROW]
[ROW][C]0.76[/C][C]7.79361778988762[/C][C]0.101026481463511[/C][/ROW]
[ROW][C]0.77[/C][C]7.8130735655023[/C][C]0.0986569237058767[/C][/ROW]
[ROW][C]0.78[/C][C]7.8322082678035[/C][C]0.094971463357746[/C][/ROW]
[ROW][C]0.79[/C][C]7.85087543081924[/C][C]0.0903504288956187[/C][/ROW]
[ROW][C]0.8[/C][C]7.86901007929619[/C][C]0.0853383666939205[/C][/ROW]
[ROW][C]0.81[/C][C]7.88663961113518[/C][C]0.0805362774913788[/C][/ROW]
[ROW][C]0.82[/C][C]7.90387831796815[/C][C]0.0764929125930104[/C][/ROW]
[ROW][C]0.83[/C][C]7.92090570654601[/C][C]0.073566976497936[/C][/ROW]
[ROW][C]0.84[/C][C]7.9379325876664[/C][C]0.0718415132333265[/C][/ROW]
[ROW][C]0.85[/C][C]7.95516197224708[/C][C]0.0711098567650247[/C][/ROW]
[ROW][C]0.86[/C][C]7.97275359970252[/C][C]0.0709828954834288[/C][/ROW]
[ROW][C]0.87[/C][C]7.99080126331967[/C][C]0.070985157854569[/C][/ROW]
[ROW][C]0.88[/C][C]8.00933066062726[/C][C]0.070680179945678[/C][/ROW]
[ROW][C]0.89[/C][C]8.02832099380966[/C][C]0.0697505969289509[/C][/ROW]
[ROW][C]0.9[/C][C]8.04774382612633[/C][C]0.0681094390473987[/C][/ROW]
[ROW][C]0.91[/C][C]8.06759710188[/C][C]0.0659767409286024[/C][/ROW]
[ROW][C]0.92[/C][C]8.0878962365225[/C][C]0.0638232242268742[/C][/ROW]
[ROW][C]0.93[/C][C]8.10858304445276[/C][C]0.0619629177799385[/C][/ROW]
[ROW][C]0.94[/C][C]8.12934759185026[/C][C]0.0598728474873776[/C][/ROW]
[ROW][C]0.95[/C][C]8.14943498456909[/C][C]0.0558476716765525[/C][/ROW]
[ROW][C]0.96[/C][C]8.16759477684426[/C][C]0.047818294918494[/C][/ROW]
[ROW][C]0.97[/C][C]8.18234120345181[/C][C]0.0351283992867828[/C][/ROW]
[ROW][C]0.98[/C][C]8.19254207393429[/C][C]0.0199790776960038[/C][/ROW]
[ROW][C]0.99[/C][C]8.19806540151406[/C][C]0.00693625535869394[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19760&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19760&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
0.015.920163684452150.064251131781417
0.025.964326475669880.133820644322213
0.036.027756895885880.173325081684240
0.046.099619058553580.177470865175010
0.056.169506993120550.159904659507370
0.066.231210529646850.136665794925351
0.076.282987960664240.117660146346518
0.086.325957819979260.105748603227054
0.096.362309696150380.0995875167874085
0.16.394156177886230.0968362049801198
0.116.423083835147230.0958475931740167
0.126.450137458525330.095855727790848
0.136.475966861799850.0965928430609977
0.146.500976720274250.0979348031890716
0.156.525423750022050.0996805797406974
0.166.549464045386720.101533948011711
0.176.573172868304620.103137526797667
0.186.596557175750930.104193514997174
0.196.619571867750180.104512388632797
0.26.642141984598760.104077970702460
0.216.664187810575490.102992058639669
0.226.685648160716190.101487867594728
0.236.706497914903920.099843453573325
0.246.726757761109210.0983568766191904
0.256.746496050577630.0973154347817392
0.266.76582406509980.096948124248145
0.276.784886699410030.097434444670688
0.286.803850693243470.0988660024590652
0.296.822892325741580.101261687557770
0.36.8421860972460.104564990539470
0.316.861895477480940.108686036293631
0.326.882166333619430.113487747692585
0.336.903123176897550.118840069127039
0.346.924867900736670.124614459479754
0.356.947480270999070.130701920193328
0.366.97101913565950.137011038951737
0.376.995523214809450.14347076938585
0.387.021010459356360.149982795557474
0.397.047475334167980.156426833991598
0.47.074883943855670.162648073686276
0.417.1031675823270.168423120355367
0.427.132215919809880.173472174385377
0.437.161871499905660.177463574123284
0.447.191927378994420.180063972363863
0.457.2221295246320.180939748217982
0.467.25218499518410.179851785378934
0.477.281776029595060.176638590348442
0.487.310579137858080.171291732159064
0.497.33828729995460.163953709361873
0.57.364632659308960.154922321969576
0.517.38940680056850.144614932362278
0.527.412475914388460.133555315649213
0.537.433788853802550.122299695952586
0.547.453377154254920.111404874172090
0.557.471347320133550.101360693273426
0.567.487866837002130.0925639635240643
0.577.503146230115940.0852623750175737
0.587.517419901506180.0795587065021535
0.597.530928383870330.0754137946932471
0.67.543904100899970.0726801092173524
0.617.556561861244090.0711439135330194
0.627.569094328552760.070611800826219
0.637.581671796862830.0709017373325014
0.647.594444911630760.0718962790074653
0.657.607548597455830.0735188944237567
0.667.621105400492340.0757216569909628
0.677.635226694029470.0784648362120859
0.687.650010677283370.0816895235098926
0.697.665536770615070.0852924688782616
0.77.681856830587130.0891268778817752
0.717.698984513399340.0929573354954059
0.727.716884990052050.0964900974219993
0.737.735467868168960.0993846113898325
0.747.754586347585770.101287341793539
0.757.77404507994570.101896450149504
0.767.793617789887620.101026481463511
0.777.81307356550230.0986569237058767
0.787.83220826780350.094971463357746
0.797.850875430819240.0903504288956187
0.87.869010079296190.0853383666939205
0.817.886639611135180.0805362774913788
0.827.903878317968150.0764929125930104
0.837.920905706546010.073566976497936
0.847.93793258766640.0718415132333265
0.857.955161972247080.0711098567650247
0.867.972753599702520.0709828954834288
0.877.990801263319670.070985157854569
0.888.009330660627260.070680179945678
0.898.028320993809660.0697505969289509
0.98.047743826126330.0681094390473987
0.918.067597101880.0659767409286024
0.928.08789623652250.0638232242268742
0.938.108583044452760.0619629177799385
0.948.129347591850260.0598728474873776
0.958.149434984569090.0558476716765525
0.968.167594776844260.047818294918494
0.978.182341203451810.0351283992867828
0.988.192542073934290.0199790776960038
0.998.198065401514060.00693625535869394


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')