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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 computationThu, 09 Mar 2017 20:35:06 +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/2017/Mar/09/t14890918682cbudhw6ds3h0lr.htm/, Retrieved Wed, 15 May 2024 05:17:11 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 05:17:11 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,55
94,11
94,34
94,38
94,39
94,42
94,42
94,47
94,59
94,63
94,84
94,98
95,19
95,76
96,04
96,08
96,2
96,29
96,3
96,31
96,46
96,66
96,83
97
97,1
97,16
97,31
97,33
97,4
97,4
97,52
97,77
98
98,2
98,48
98,53
98,71
99,03
99,52
99,65
99,94
99,98
100,12
100,17
100,38
100,75
100,84
100,9
100,91
101,15
101,25
101,39
101,4
101,53
101,55
101,58
101,58
101,65
101,7
101,71
101,71
101,73
101,73
101,75
101,84
101,95
101,95
101,98
101,99
102,03
102,11
102,14
102,18
102,2
102,28
102,29
102,32
102,33
102,33
102,36
102,54
102,58
102,79
103,01

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.74331144705890.439332971856915
0.0293.9895744795890.295547428666928
0.0394.1780777717070.184297282072399
0.0494.29422854928510.116533058276028
0.0594.36389060370240.08940179289879
0.0694.41327902707560.0978854436139913
0.0794.45997093810240.132182268027588
0.0894.5146988091790.18444642097816
0.0994.5839186506550.249919758692301
0.194.67126748844710.324109456129327
0.1194.77814929660850.40128622082628
0.1294.90389459590040.47421345276491
0.1395.04585638263970.535361599253117
0.1495.19969176064380.578184727202335
0.1595.3599366462520.59876835479792
0.1695.52082501704280.597057582261624
0.1795.67717982167580.576564461495907
0.1895.82515493125870.543839270072998
0.1995.96264984159190.506497201705414
0.296.08932499056190.471985438315813
0.2196.20626622883080.445399234182785
0.2296.3154358462060.428898446337178
0.2396.41908008212080.422178379465535
0.2496.51924065960030.42231571752274
0.2596.61746009132180.426140827701584
0.2696.71470259232650.430989139231254
0.2796.8114553410350.435169882815788
0.2896.90794027338050.438485963148836
0.2997.00435693254060.442162553426241
0.397.10108773691030.448222283936299
0.3197.19882056893740.458743131572318
0.3297.29857146561670.475644603621888
0.3397.40161540158390.500355722751835
0.3497.50935104351540.532696551767387
0.3597.62313389633660.571647746524346
0.3697.74411183753470.615706655467279
0.3797.87308985416470.662334571668792
0.3898.0104400871440.709158438455618
0.3998.15606237998970.753785071567485
0.498.3093919982490.793959541619011
0.4198.46944626590560.827773165378361
0.4298.63490032802740.853753238398102
0.4398.80418279089820.870735215796152
0.4498.97558297940570.878592615226295
0.4599.14736182126420.877002207022071
0.4699.31785771825870.866674291379367
0.4799.4855779465560.848945132553968
0.4899.64926634622730.825058042328785
0.4999.80794025725090.796762893674607
0.599.9608939424310.765545626387888
0.51100.1076712307790.732703249969939
0.52100.248015299120.698995162785558
0.53100.3818068700560.665123636994385
0.54100.5090027593190.631369279796385
0.55100.629584724170.597321700708631
0.56100.7435248495790.563084266271347
0.57100.8507695441250.528435353577401
0.58100.9512407259960.493108661736678
0.59101.0448505556950.457469737700779
0.6101.1315251224550.421255424979395
0.61101.2112324474490.384960179465314
0.62101.2840106004630.349121285197367
0.63101.3499923751920.314030337748886
0.64101.4094237661840.280383275661303
0.65101.4626744371710.24887579512114
0.66101.5102393693160.220163917961346
0.67101.5527316877090.194695698946774
0.68101.5908670255690.172955261175969
0.69101.6254396474010.15528021995589
0.7101.6572902412870.141951389154459
0.71101.6872654535720.132935563548013
0.72101.7161705138050.127969087623819
0.73101.7447188330310.12627884528909
0.74101.7734855575490.12719352250224
0.75101.8028742336510.129489708703666
0.76101.8331052890690.132047421162702
0.77101.8642309997960.134319127338692
0.78101.8961745816460.135487934088393
0.79101.9287833359990.135580532302284
0.8101.9618806045650.134529481793977
0.81101.9953012375280.132772198272535
0.82102.0289008675470.130426267218622
0.83102.0625385509920.127528617658158
0.84102.0960419662340.124059391340208
0.85102.1291717242620.119581421145277
0.86102.1616060661580.113857717206121
0.87102.1929706042010.106635682607227
0.88102.2229396709520.0979836151262763
0.89102.2514304674830.0885556543654361
0.9102.2788859017160.0799448104805899
0.91102.3065858643180.0748708894634908
0.92102.3368539866650.0768517946869865
0.93102.3730043136120.0881614297499666
0.94102.4190015470990.107181865985415
0.95102.4790963947390.129734938391987
0.96102.5578172085870.152351745622861
0.97102.6597829475390.173897781451854
0.98102.7857845903170.192109017746044
0.99102.919000996980.20579717712774

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.7433114470589 & 0.439332971856915 \tabularnewline
0.02 & 93.989574479589 & 0.295547428666928 \tabularnewline
0.03 & 94.178077771707 & 0.184297282072399 \tabularnewline
0.04 & 94.2942285492851 & 0.116533058276028 \tabularnewline
0.05 & 94.3638906037024 & 0.08940179289879 \tabularnewline
0.06 & 94.4132790270756 & 0.0978854436139913 \tabularnewline
0.07 & 94.4599709381024 & 0.132182268027588 \tabularnewline
0.08 & 94.514698809179 & 0.18444642097816 \tabularnewline
0.09 & 94.583918650655 & 0.249919758692301 \tabularnewline
0.1 & 94.6712674884471 & 0.324109456129327 \tabularnewline
0.11 & 94.7781492966085 & 0.40128622082628 \tabularnewline
0.12 & 94.9038945959004 & 0.47421345276491 \tabularnewline
0.13 & 95.0458563826397 & 0.535361599253117 \tabularnewline
0.14 & 95.1996917606438 & 0.578184727202335 \tabularnewline
0.15 & 95.359936646252 & 0.59876835479792 \tabularnewline
0.16 & 95.5208250170428 & 0.597057582261624 \tabularnewline
0.17 & 95.6771798216758 & 0.576564461495907 \tabularnewline
0.18 & 95.8251549312587 & 0.543839270072998 \tabularnewline
0.19 & 95.9626498415919 & 0.506497201705414 \tabularnewline
0.2 & 96.0893249905619 & 0.471985438315813 \tabularnewline
0.21 & 96.2062662288308 & 0.445399234182785 \tabularnewline
0.22 & 96.315435846206 & 0.428898446337178 \tabularnewline
0.23 & 96.4190800821208 & 0.422178379465535 \tabularnewline
0.24 & 96.5192406596003 & 0.42231571752274 \tabularnewline
0.25 & 96.6174600913218 & 0.426140827701584 \tabularnewline
0.26 & 96.7147025923265 & 0.430989139231254 \tabularnewline
0.27 & 96.811455341035 & 0.435169882815788 \tabularnewline
0.28 & 96.9079402733805 & 0.438485963148836 \tabularnewline
0.29 & 97.0043569325406 & 0.442162553426241 \tabularnewline
0.3 & 97.1010877369103 & 0.448222283936299 \tabularnewline
0.31 & 97.1988205689374 & 0.458743131572318 \tabularnewline
0.32 & 97.2985714656167 & 0.475644603621888 \tabularnewline
0.33 & 97.4016154015839 & 0.500355722751835 \tabularnewline
0.34 & 97.5093510435154 & 0.532696551767387 \tabularnewline
0.35 & 97.6231338963366 & 0.571647746524346 \tabularnewline
0.36 & 97.7441118375347 & 0.615706655467279 \tabularnewline
0.37 & 97.8730898541647 & 0.662334571668792 \tabularnewline
0.38 & 98.010440087144 & 0.709158438455618 \tabularnewline
0.39 & 98.1560623799897 & 0.753785071567485 \tabularnewline
0.4 & 98.309391998249 & 0.793959541619011 \tabularnewline
0.41 & 98.4694462659056 & 0.827773165378361 \tabularnewline
0.42 & 98.6349003280274 & 0.853753238398102 \tabularnewline
0.43 & 98.8041827908982 & 0.870735215796152 \tabularnewline
0.44 & 98.9755829794057 & 0.878592615226295 \tabularnewline
0.45 & 99.1473618212642 & 0.877002207022071 \tabularnewline
0.46 & 99.3178577182587 & 0.866674291379367 \tabularnewline
0.47 & 99.485577946556 & 0.848945132553968 \tabularnewline
0.48 & 99.6492663462273 & 0.825058042328785 \tabularnewline
0.49 & 99.8079402572509 & 0.796762893674607 \tabularnewline
0.5 & 99.960893942431 & 0.765545626387888 \tabularnewline
0.51 & 100.107671230779 & 0.732703249969939 \tabularnewline
0.52 & 100.24801529912 & 0.698995162785558 \tabularnewline
0.53 & 100.381806870056 & 0.665123636994385 \tabularnewline
0.54 & 100.509002759319 & 0.631369279796385 \tabularnewline
0.55 & 100.62958472417 & 0.597321700708631 \tabularnewline
0.56 & 100.743524849579 & 0.563084266271347 \tabularnewline
0.57 & 100.850769544125 & 0.528435353577401 \tabularnewline
0.58 & 100.951240725996 & 0.493108661736678 \tabularnewline
0.59 & 101.044850555695 & 0.457469737700779 \tabularnewline
0.6 & 101.131525122455 & 0.421255424979395 \tabularnewline
0.61 & 101.211232447449 & 0.384960179465314 \tabularnewline
0.62 & 101.284010600463 & 0.349121285197367 \tabularnewline
0.63 & 101.349992375192 & 0.314030337748886 \tabularnewline
0.64 & 101.409423766184 & 0.280383275661303 \tabularnewline
0.65 & 101.462674437171 & 0.24887579512114 \tabularnewline
0.66 & 101.510239369316 & 0.220163917961346 \tabularnewline
0.67 & 101.552731687709 & 0.194695698946774 \tabularnewline
0.68 & 101.590867025569 & 0.172955261175969 \tabularnewline
0.69 & 101.625439647401 & 0.15528021995589 \tabularnewline
0.7 & 101.657290241287 & 0.141951389154459 \tabularnewline
0.71 & 101.687265453572 & 0.132935563548013 \tabularnewline
0.72 & 101.716170513805 & 0.127969087623819 \tabularnewline
0.73 & 101.744718833031 & 0.12627884528909 \tabularnewline
0.74 & 101.773485557549 & 0.12719352250224 \tabularnewline
0.75 & 101.802874233651 & 0.129489708703666 \tabularnewline
0.76 & 101.833105289069 & 0.132047421162702 \tabularnewline
0.77 & 101.864230999796 & 0.134319127338692 \tabularnewline
0.78 & 101.896174581646 & 0.135487934088393 \tabularnewline
0.79 & 101.928783335999 & 0.135580532302284 \tabularnewline
0.8 & 101.961880604565 & 0.134529481793977 \tabularnewline
0.81 & 101.995301237528 & 0.132772198272535 \tabularnewline
0.82 & 102.028900867547 & 0.130426267218622 \tabularnewline
0.83 & 102.062538550992 & 0.127528617658158 \tabularnewline
0.84 & 102.096041966234 & 0.124059391340208 \tabularnewline
0.85 & 102.129171724262 & 0.119581421145277 \tabularnewline
0.86 & 102.161606066158 & 0.113857717206121 \tabularnewline
0.87 & 102.192970604201 & 0.106635682607227 \tabularnewline
0.88 & 102.222939670952 & 0.0979836151262763 \tabularnewline
0.89 & 102.251430467483 & 0.0885556543654361 \tabularnewline
0.9 & 102.278885901716 & 0.0799448104805899 \tabularnewline
0.91 & 102.306585864318 & 0.0748708894634908 \tabularnewline
0.92 & 102.336853986665 & 0.0768517946869865 \tabularnewline
0.93 & 102.373004313612 & 0.0881614297499666 \tabularnewline
0.94 & 102.419001547099 & 0.107181865985415 \tabularnewline
0.95 & 102.479096394739 & 0.129734938391987 \tabularnewline
0.96 & 102.557817208587 & 0.152351745622861 \tabularnewline
0.97 & 102.659782947539 & 0.173897781451854 \tabularnewline
0.98 & 102.785784590317 & 0.192109017746044 \tabularnewline
0.99 & 102.91900099698 & 0.20579717712774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]93.7433114470589[/C][C]0.439332971856915[/C][/ROW]
[ROW][C]0.02[/C][C]93.989574479589[/C][C]0.295547428666928[/C][/ROW]
[ROW][C]0.03[/C][C]94.178077771707[/C][C]0.184297282072399[/C][/ROW]
[ROW][C]0.04[/C][C]94.2942285492851[/C][C]0.116533058276028[/C][/ROW]
[ROW][C]0.05[/C][C]94.3638906037024[/C][C]0.08940179289879[/C][/ROW]
[ROW][C]0.06[/C][C]94.4132790270756[/C][C]0.0978854436139913[/C][/ROW]
[ROW][C]0.07[/C][C]94.4599709381024[/C][C]0.132182268027588[/C][/ROW]
[ROW][C]0.08[/C][C]94.514698809179[/C][C]0.18444642097816[/C][/ROW]
[ROW][C]0.09[/C][C]94.583918650655[/C][C]0.249919758692301[/C][/ROW]
[ROW][C]0.1[/C][C]94.6712674884471[/C][C]0.324109456129327[/C][/ROW]
[ROW][C]0.11[/C][C]94.7781492966085[/C][C]0.40128622082628[/C][/ROW]
[ROW][C]0.12[/C][C]94.9038945959004[/C][C]0.47421345276491[/C][/ROW]
[ROW][C]0.13[/C][C]95.0458563826397[/C][C]0.535361599253117[/C][/ROW]
[ROW][C]0.14[/C][C]95.1996917606438[/C][C]0.578184727202335[/C][/ROW]
[ROW][C]0.15[/C][C]95.359936646252[/C][C]0.59876835479792[/C][/ROW]
[ROW][C]0.16[/C][C]95.5208250170428[/C][C]0.597057582261624[/C][/ROW]
[ROW][C]0.17[/C][C]95.6771798216758[/C][C]0.576564461495907[/C][/ROW]
[ROW][C]0.18[/C][C]95.8251549312587[/C][C]0.543839270072998[/C][/ROW]
[ROW][C]0.19[/C][C]95.9626498415919[/C][C]0.506497201705414[/C][/ROW]
[ROW][C]0.2[/C][C]96.0893249905619[/C][C]0.471985438315813[/C][/ROW]
[ROW][C]0.21[/C][C]96.2062662288308[/C][C]0.445399234182785[/C][/ROW]
[ROW][C]0.22[/C][C]96.315435846206[/C][C]0.428898446337178[/C][/ROW]
[ROW][C]0.23[/C][C]96.4190800821208[/C][C]0.422178379465535[/C][/ROW]
[ROW][C]0.24[/C][C]96.5192406596003[/C][C]0.42231571752274[/C][/ROW]
[ROW][C]0.25[/C][C]96.6174600913218[/C][C]0.426140827701584[/C][/ROW]
[ROW][C]0.26[/C][C]96.7147025923265[/C][C]0.430989139231254[/C][/ROW]
[ROW][C]0.27[/C][C]96.811455341035[/C][C]0.435169882815788[/C][/ROW]
[ROW][C]0.28[/C][C]96.9079402733805[/C][C]0.438485963148836[/C][/ROW]
[ROW][C]0.29[/C][C]97.0043569325406[/C][C]0.442162553426241[/C][/ROW]
[ROW][C]0.3[/C][C]97.1010877369103[/C][C]0.448222283936299[/C][/ROW]
[ROW][C]0.31[/C][C]97.1988205689374[/C][C]0.458743131572318[/C][/ROW]
[ROW][C]0.32[/C][C]97.2985714656167[/C][C]0.475644603621888[/C][/ROW]
[ROW][C]0.33[/C][C]97.4016154015839[/C][C]0.500355722751835[/C][/ROW]
[ROW][C]0.34[/C][C]97.5093510435154[/C][C]0.532696551767387[/C][/ROW]
[ROW][C]0.35[/C][C]97.6231338963366[/C][C]0.571647746524346[/C][/ROW]
[ROW][C]0.36[/C][C]97.7441118375347[/C][C]0.615706655467279[/C][/ROW]
[ROW][C]0.37[/C][C]97.8730898541647[/C][C]0.662334571668792[/C][/ROW]
[ROW][C]0.38[/C][C]98.010440087144[/C][C]0.709158438455618[/C][/ROW]
[ROW][C]0.39[/C][C]98.1560623799897[/C][C]0.753785071567485[/C][/ROW]
[ROW][C]0.4[/C][C]98.309391998249[/C][C]0.793959541619011[/C][/ROW]
[ROW][C]0.41[/C][C]98.4694462659056[/C][C]0.827773165378361[/C][/ROW]
[ROW][C]0.42[/C][C]98.6349003280274[/C][C]0.853753238398102[/C][/ROW]
[ROW][C]0.43[/C][C]98.8041827908982[/C][C]0.870735215796152[/C][/ROW]
[ROW][C]0.44[/C][C]98.9755829794057[/C][C]0.878592615226295[/C][/ROW]
[ROW][C]0.45[/C][C]99.1473618212642[/C][C]0.877002207022071[/C][/ROW]
[ROW][C]0.46[/C][C]99.3178577182587[/C][C]0.866674291379367[/C][/ROW]
[ROW][C]0.47[/C][C]99.485577946556[/C][C]0.848945132553968[/C][/ROW]
[ROW][C]0.48[/C][C]99.6492663462273[/C][C]0.825058042328785[/C][/ROW]
[ROW][C]0.49[/C][C]99.8079402572509[/C][C]0.796762893674607[/C][/ROW]
[ROW][C]0.5[/C][C]99.960893942431[/C][C]0.765545626387888[/C][/ROW]
[ROW][C]0.51[/C][C]100.107671230779[/C][C]0.732703249969939[/C][/ROW]
[ROW][C]0.52[/C][C]100.24801529912[/C][C]0.698995162785558[/C][/ROW]
[ROW][C]0.53[/C][C]100.381806870056[/C][C]0.665123636994385[/C][/ROW]
[ROW][C]0.54[/C][C]100.509002759319[/C][C]0.631369279796385[/C][/ROW]
[ROW][C]0.55[/C][C]100.62958472417[/C][C]0.597321700708631[/C][/ROW]
[ROW][C]0.56[/C][C]100.743524849579[/C][C]0.563084266271347[/C][/ROW]
[ROW][C]0.57[/C][C]100.850769544125[/C][C]0.528435353577401[/C][/ROW]
[ROW][C]0.58[/C][C]100.951240725996[/C][C]0.493108661736678[/C][/ROW]
[ROW][C]0.59[/C][C]101.044850555695[/C][C]0.457469737700779[/C][/ROW]
[ROW][C]0.6[/C][C]101.131525122455[/C][C]0.421255424979395[/C][/ROW]
[ROW][C]0.61[/C][C]101.211232447449[/C][C]0.384960179465314[/C][/ROW]
[ROW][C]0.62[/C][C]101.284010600463[/C][C]0.349121285197367[/C][/ROW]
[ROW][C]0.63[/C][C]101.349992375192[/C][C]0.314030337748886[/C][/ROW]
[ROW][C]0.64[/C][C]101.409423766184[/C][C]0.280383275661303[/C][/ROW]
[ROW][C]0.65[/C][C]101.462674437171[/C][C]0.24887579512114[/C][/ROW]
[ROW][C]0.66[/C][C]101.510239369316[/C][C]0.220163917961346[/C][/ROW]
[ROW][C]0.67[/C][C]101.552731687709[/C][C]0.194695698946774[/C][/ROW]
[ROW][C]0.68[/C][C]101.590867025569[/C][C]0.172955261175969[/C][/ROW]
[ROW][C]0.69[/C][C]101.625439647401[/C][C]0.15528021995589[/C][/ROW]
[ROW][C]0.7[/C][C]101.657290241287[/C][C]0.141951389154459[/C][/ROW]
[ROW][C]0.71[/C][C]101.687265453572[/C][C]0.132935563548013[/C][/ROW]
[ROW][C]0.72[/C][C]101.716170513805[/C][C]0.127969087623819[/C][/ROW]
[ROW][C]0.73[/C][C]101.744718833031[/C][C]0.12627884528909[/C][/ROW]
[ROW][C]0.74[/C][C]101.773485557549[/C][C]0.12719352250224[/C][/ROW]
[ROW][C]0.75[/C][C]101.802874233651[/C][C]0.129489708703666[/C][/ROW]
[ROW][C]0.76[/C][C]101.833105289069[/C][C]0.132047421162702[/C][/ROW]
[ROW][C]0.77[/C][C]101.864230999796[/C][C]0.134319127338692[/C][/ROW]
[ROW][C]0.78[/C][C]101.896174581646[/C][C]0.135487934088393[/C][/ROW]
[ROW][C]0.79[/C][C]101.928783335999[/C][C]0.135580532302284[/C][/ROW]
[ROW][C]0.8[/C][C]101.961880604565[/C][C]0.134529481793977[/C][/ROW]
[ROW][C]0.81[/C][C]101.995301237528[/C][C]0.132772198272535[/C][/ROW]
[ROW][C]0.82[/C][C]102.028900867547[/C][C]0.130426267218622[/C][/ROW]
[ROW][C]0.83[/C][C]102.062538550992[/C][C]0.127528617658158[/C][/ROW]
[ROW][C]0.84[/C][C]102.096041966234[/C][C]0.124059391340208[/C][/ROW]
[ROW][C]0.85[/C][C]102.129171724262[/C][C]0.119581421145277[/C][/ROW]
[ROW][C]0.86[/C][C]102.161606066158[/C][C]0.113857717206121[/C][/ROW]
[ROW][C]0.87[/C][C]102.192970604201[/C][C]0.106635682607227[/C][/ROW]
[ROW][C]0.88[/C][C]102.222939670952[/C][C]0.0979836151262763[/C][/ROW]
[ROW][C]0.89[/C][C]102.251430467483[/C][C]0.0885556543654361[/C][/ROW]
[ROW][C]0.9[/C][C]102.278885901716[/C][C]0.0799448104805899[/C][/ROW]
[ROW][C]0.91[/C][C]102.306585864318[/C][C]0.0748708894634908[/C][/ROW]
[ROW][C]0.92[/C][C]102.336853986665[/C][C]0.0768517946869865[/C][/ROW]
[ROW][C]0.93[/C][C]102.373004313612[/C][C]0.0881614297499666[/C][/ROW]
[ROW][C]0.94[/C][C]102.419001547099[/C][C]0.107181865985415[/C][/ROW]
[ROW][C]0.95[/C][C]102.479096394739[/C][C]0.129734938391987[/C][/ROW]
[ROW][C]0.96[/C][C]102.557817208587[/C][C]0.152351745622861[/C][/ROW]
[ROW][C]0.97[/C][C]102.659782947539[/C][C]0.173897781451854[/C][/ROW]
[ROW][C]0.98[/C][C]102.785784590317[/C][C]0.192109017746044[/C][/ROW]
[ROW][C]0.99[/C][C]102.91900099698[/C][C]0.20579717712774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0193.74331144705890.439332971856915
0.0293.9895744795890.295547428666928
0.0394.1780777717070.184297282072399
0.0494.29422854928510.116533058276028
0.0594.36389060370240.08940179289879
0.0694.41327902707560.0978854436139913
0.0794.45997093810240.132182268027588
0.0894.5146988091790.18444642097816
0.0994.5839186506550.249919758692301
0.194.67126748844710.324109456129327
0.1194.77814929660850.40128622082628
0.1294.90389459590040.47421345276491
0.1395.04585638263970.535361599253117
0.1495.19969176064380.578184727202335
0.1595.3599366462520.59876835479792
0.1695.52082501704280.597057582261624
0.1795.67717982167580.576564461495907
0.1895.82515493125870.543839270072998
0.1995.96264984159190.506497201705414
0.296.08932499056190.471985438315813
0.2196.20626622883080.445399234182785
0.2296.3154358462060.428898446337178
0.2396.41908008212080.422178379465535
0.2496.51924065960030.42231571752274
0.2596.61746009132180.426140827701584
0.2696.71470259232650.430989139231254
0.2796.8114553410350.435169882815788
0.2896.90794027338050.438485963148836
0.2997.00435693254060.442162553426241
0.397.10108773691030.448222283936299
0.3197.19882056893740.458743131572318
0.3297.29857146561670.475644603621888
0.3397.40161540158390.500355722751835
0.3497.50935104351540.532696551767387
0.3597.62313389633660.571647746524346
0.3697.74411183753470.615706655467279
0.3797.87308985416470.662334571668792
0.3898.0104400871440.709158438455618
0.3998.15606237998970.753785071567485
0.498.3093919982490.793959541619011
0.4198.46944626590560.827773165378361
0.4298.63490032802740.853753238398102
0.4398.80418279089820.870735215796152
0.4498.97558297940570.878592615226295
0.4599.14736182126420.877002207022071
0.4699.31785771825870.866674291379367
0.4799.4855779465560.848945132553968
0.4899.64926634622730.825058042328785
0.4999.80794025725090.796762893674607
0.599.9608939424310.765545626387888
0.51100.1076712307790.732703249969939
0.52100.248015299120.698995162785558
0.53100.3818068700560.665123636994385
0.54100.5090027593190.631369279796385
0.55100.629584724170.597321700708631
0.56100.7435248495790.563084266271347
0.57100.8507695441250.528435353577401
0.58100.9512407259960.493108661736678
0.59101.0448505556950.457469737700779
0.6101.1315251224550.421255424979395
0.61101.2112324474490.384960179465314
0.62101.2840106004630.349121285197367
0.63101.3499923751920.314030337748886
0.64101.4094237661840.280383275661303
0.65101.4626744371710.24887579512114
0.66101.5102393693160.220163917961346
0.67101.5527316877090.194695698946774
0.68101.5908670255690.172955261175969
0.69101.6254396474010.15528021995589
0.7101.6572902412870.141951389154459
0.71101.6872654535720.132935563548013
0.72101.7161705138050.127969087623819
0.73101.7447188330310.12627884528909
0.74101.7734855575490.12719352250224
0.75101.8028742336510.129489708703666
0.76101.8331052890690.132047421162702
0.77101.8642309997960.134319127338692
0.78101.8961745816460.135487934088393
0.79101.9287833359990.135580532302284
0.8101.9618806045650.134529481793977
0.81101.9953012375280.132772198272535
0.82102.0289008675470.130426267218622
0.83102.0625385509920.127528617658158
0.84102.0960419662340.124059391340208
0.85102.1291717242620.119581421145277
0.86102.1616060661580.113857717206121
0.87102.1929706042010.106635682607227
0.88102.2229396709520.0979836151262763
0.89102.2514304674830.0885556543654361
0.9102.2788859017160.0799448104805899
0.91102.3065858643180.0748708894634908
0.92102.3368539866650.0768517946869865
0.93102.3730043136120.0881614297499666
0.94102.4190015470990.107181865985415
0.95102.4790963947390.129734938391987
0.96102.5578172085870.152351745622861
0.97102.6597829475390.173897781451854
0.98102.7857845903170.192109017746044
0.99102.919000996980.20579717712774


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')