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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 computationTue, 20 Oct 2009 03:40:02 -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/2009/Oct/20/t1256031830nh9pqp27sbdif7l.htm/, Retrieved Fri, 03 May 2024 01:38:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48473, Retrieved Fri, 03 May 2024 01:38:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact130

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] [] [2009-10-20 09:40:02] [d7e29fbdd9c070952bc7bcf8a141229f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,28
104,33
104,46
104,46
104,5
104,61
104,66
104,66
105,03
105,32
105,52
105,67
105,71
105,81
106
106,02
106,19
106,22
106,34
106,42
106,84
107,23
107,42
107,63
107,69
107,81
107,92
108,06
108,21
108,44
108,55
108,66
109,23
109,7
109,94
110,13
110,39
110,46
110,67
110,89
110,98
111,12
111,33
111,43
111,87
112,22
112,47
112,64
112,84
113,03
113,09
113,27
113,44
113,51
113,66
113,62
114,01
114,55
114,77
114,87
115,11
115,09
115,24
115,27
115,41
115,59
115,6
115,68
116,2
116,55
116,73
117,04
117,12
117,28
117,48
117,66
117,92
118,12
118,17
118,39

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48473&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48473&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48473&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01104.3072274966520.0664335804640473
0.02104.3537482900770.0841616598912708
0.03104.4067988851370.0923792905426788
0.04104.4605377001850.105183192399329
0.05104.5166523130300.134984041319359
0.06104.5802515897760.181771720578257
0.07104.6562380895360.240390662307654
0.08104.7474116068280.303362906770911
0.09104.8538781285400.362060086940722
0.1104.9732204786210.408333926227367
0.11105.1011901356990.436973723546364
0.12105.2327608889590.44721897281239
0.13105.3632722129820.44273261490489
0.14105.4893378384240.429610128416643
0.15105.6093051987030.414970190697754
0.16105.7232439715810.404992123455289
0.17105.8325938850100.403897487812539
0.18105.9396533917680.414016049370245
0.19106.0470580465330.435804870106418
0.2106.1573321877360.467237357474755
0.21106.2725440104380.506023097344584
0.22106.3940694096920.548441703694893
0.23106.5224674571010.590106217699698
0.24106.6574736785740.627482333552889
0.25106.7981132915350.657472020496449
0.26106.9429215755160.678623308105346
0.27107.0902377048950.69056267216277
0.28107.2385207696490.695103210856193
0.29107.3866300866080.695265005989286
0.3107.5340192284320.694798530830652
0.31107.6808121308050.697445172217045
0.32107.8277543035080.706484814325133
0.33107.9760558906860.72395782346146
0.34108.1271609581830.749899189807159
0.35108.2824864580420.783418780918195
0.36108.4431748887800.821779428959032
0.37108.6098984011100.861676650134704
0.38108.7827412261910.899603265725589
0.39108.9611739429360.931985228720308
0.4109.1441190510730.95613850738935
0.41109.3300941707410.970396483192986
0.42109.5174084701320.97426768881345
0.43109.7043810290170.968483478608726
0.44109.8895477936750.95517221008803
0.45110.0718268765590.936559539097929
0.46110.2506196137200.916116351642879
0.47110.4258356009820.896598599707177
0.48110.5978419680350.880676836006296
0.49110.7673484389930.869817392525446
0.5110.9352486240070.86485331385887
0.51111.1024434106380.864915737446314
0.52111.2696738084160.868757773609145
0.53111.4373882132180.87388359877613
0.54111.6056632956640.877872950223071
0.55111.7741894224830.87855600904342
0.56111.9423218198640.874016099470306
0.57112.1091889082580.863495503026563
0.58112.27384074260.846636965373096
0.59112.4354144638670.824381874839757
0.6112.5932908986900.798955665383326
0.61112.7472172174830.772191892071982
0.62112.8973746912780.74734849516466
0.63113.0443775730780.726584307245375
0.64113.1891983310530.711923097688399
0.65113.3330251569170.704401125621323
0.66113.4770689431650.704013919355941
0.67113.6223474260680.709144935099339
0.68113.7694820340360.716593619143876
0.69113.9185459064370.723316492612501
0.7114.0689975539790.725613675483435
0.71114.2197228833000.720534625171767
0.72114.3691899605130.705905847580827
0.73114.5156993244990.681658929418303
0.74114.6576928045300.648830051501196
0.75114.7940705646470.610564050649312
0.76114.9244625585670.570682141923543
0.77115.0494067256500.534058448240187
0.78115.1703991859180.505407943973417
0.79115.2897973751410.488814382777583
0.8115.4105729532720.486786080486766
0.81115.5359281864160.49940248750035
0.82115.6688108364740.524150261386169
0.83115.8113910487670.5559949944856
0.84115.9645960468020.588194687053345
0.85116.1278222384910.613575292875062
0.86116.2989403960860.625891947549259
0.87116.4746608945470.621251692918017
0.88116.6512302913520.599131938969591
0.89116.8253087903860.563029087889952
0.9116.9947717341070.51924680705976
0.91117.1591334351440.475172666765107
0.92117.3193417814060.436684545167694
0.93117.4768583737750.405252611125887
0.94117.6322590262790.376685310571405
0.95117.7841129037160.342330586550399
0.96117.9294347273510.294339092739205
0.97118.0663937436520.234709913698094
0.98118.1959126917490.186925736134335
0.99118.3130620212470.187283943387208

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.307227496652 & 0.0664335804640473 \tabularnewline
0.02 & 104.353748290077 & 0.0841616598912708 \tabularnewline
0.03 & 104.406798885137 & 0.0923792905426788 \tabularnewline
0.04 & 104.460537700185 & 0.105183192399329 \tabularnewline
0.05 & 104.516652313030 & 0.134984041319359 \tabularnewline
0.06 & 104.580251589776 & 0.181771720578257 \tabularnewline
0.07 & 104.656238089536 & 0.240390662307654 \tabularnewline
0.08 & 104.747411606828 & 0.303362906770911 \tabularnewline
0.09 & 104.853878128540 & 0.362060086940722 \tabularnewline
0.1 & 104.973220478621 & 0.408333926227367 \tabularnewline
0.11 & 105.101190135699 & 0.436973723546364 \tabularnewline
0.12 & 105.232760888959 & 0.44721897281239 \tabularnewline
0.13 & 105.363272212982 & 0.44273261490489 \tabularnewline
0.14 & 105.489337838424 & 0.429610128416643 \tabularnewline
0.15 & 105.609305198703 & 0.414970190697754 \tabularnewline
0.16 & 105.723243971581 & 0.404992123455289 \tabularnewline
0.17 & 105.832593885010 & 0.403897487812539 \tabularnewline
0.18 & 105.939653391768 & 0.414016049370245 \tabularnewline
0.19 & 106.047058046533 & 0.435804870106418 \tabularnewline
0.2 & 106.157332187736 & 0.467237357474755 \tabularnewline
0.21 & 106.272544010438 & 0.506023097344584 \tabularnewline
0.22 & 106.394069409692 & 0.548441703694893 \tabularnewline
0.23 & 106.522467457101 & 0.590106217699698 \tabularnewline
0.24 & 106.657473678574 & 0.627482333552889 \tabularnewline
0.25 & 106.798113291535 & 0.657472020496449 \tabularnewline
0.26 & 106.942921575516 & 0.678623308105346 \tabularnewline
0.27 & 107.090237704895 & 0.69056267216277 \tabularnewline
0.28 & 107.238520769649 & 0.695103210856193 \tabularnewline
0.29 & 107.386630086608 & 0.695265005989286 \tabularnewline
0.3 & 107.534019228432 & 0.694798530830652 \tabularnewline
0.31 & 107.680812130805 & 0.697445172217045 \tabularnewline
0.32 & 107.827754303508 & 0.706484814325133 \tabularnewline
0.33 & 107.976055890686 & 0.72395782346146 \tabularnewline
0.34 & 108.127160958183 & 0.749899189807159 \tabularnewline
0.35 & 108.282486458042 & 0.783418780918195 \tabularnewline
0.36 & 108.443174888780 & 0.821779428959032 \tabularnewline
0.37 & 108.609898401110 & 0.861676650134704 \tabularnewline
0.38 & 108.782741226191 & 0.899603265725589 \tabularnewline
0.39 & 108.961173942936 & 0.931985228720308 \tabularnewline
0.4 & 109.144119051073 & 0.95613850738935 \tabularnewline
0.41 & 109.330094170741 & 0.970396483192986 \tabularnewline
0.42 & 109.517408470132 & 0.97426768881345 \tabularnewline
0.43 & 109.704381029017 & 0.968483478608726 \tabularnewline
0.44 & 109.889547793675 & 0.95517221008803 \tabularnewline
0.45 & 110.071826876559 & 0.936559539097929 \tabularnewline
0.46 & 110.250619613720 & 0.916116351642879 \tabularnewline
0.47 & 110.425835600982 & 0.896598599707177 \tabularnewline
0.48 & 110.597841968035 & 0.880676836006296 \tabularnewline
0.49 & 110.767348438993 & 0.869817392525446 \tabularnewline
0.5 & 110.935248624007 & 0.86485331385887 \tabularnewline
0.51 & 111.102443410638 & 0.864915737446314 \tabularnewline
0.52 & 111.269673808416 & 0.868757773609145 \tabularnewline
0.53 & 111.437388213218 & 0.87388359877613 \tabularnewline
0.54 & 111.605663295664 & 0.877872950223071 \tabularnewline
0.55 & 111.774189422483 & 0.87855600904342 \tabularnewline
0.56 & 111.942321819864 & 0.874016099470306 \tabularnewline
0.57 & 112.109188908258 & 0.863495503026563 \tabularnewline
0.58 & 112.2738407426 & 0.846636965373096 \tabularnewline
0.59 & 112.435414463867 & 0.824381874839757 \tabularnewline
0.6 & 112.593290898690 & 0.798955665383326 \tabularnewline
0.61 & 112.747217217483 & 0.772191892071982 \tabularnewline
0.62 & 112.897374691278 & 0.74734849516466 \tabularnewline
0.63 & 113.044377573078 & 0.726584307245375 \tabularnewline
0.64 & 113.189198331053 & 0.711923097688399 \tabularnewline
0.65 & 113.333025156917 & 0.704401125621323 \tabularnewline
0.66 & 113.477068943165 & 0.704013919355941 \tabularnewline
0.67 & 113.622347426068 & 0.709144935099339 \tabularnewline
0.68 & 113.769482034036 & 0.716593619143876 \tabularnewline
0.69 & 113.918545906437 & 0.723316492612501 \tabularnewline
0.7 & 114.068997553979 & 0.725613675483435 \tabularnewline
0.71 & 114.219722883300 & 0.720534625171767 \tabularnewline
0.72 & 114.369189960513 & 0.705905847580827 \tabularnewline
0.73 & 114.515699324499 & 0.681658929418303 \tabularnewline
0.74 & 114.657692804530 & 0.648830051501196 \tabularnewline
0.75 & 114.794070564647 & 0.610564050649312 \tabularnewline
0.76 & 114.924462558567 & 0.570682141923543 \tabularnewline
0.77 & 115.049406725650 & 0.534058448240187 \tabularnewline
0.78 & 115.170399185918 & 0.505407943973417 \tabularnewline
0.79 & 115.289797375141 & 0.488814382777583 \tabularnewline
0.8 & 115.410572953272 & 0.486786080486766 \tabularnewline
0.81 & 115.535928186416 & 0.49940248750035 \tabularnewline
0.82 & 115.668810836474 & 0.524150261386169 \tabularnewline
0.83 & 115.811391048767 & 0.5559949944856 \tabularnewline
0.84 & 115.964596046802 & 0.588194687053345 \tabularnewline
0.85 & 116.127822238491 & 0.613575292875062 \tabularnewline
0.86 & 116.298940396086 & 0.625891947549259 \tabularnewline
0.87 & 116.474660894547 & 0.621251692918017 \tabularnewline
0.88 & 116.651230291352 & 0.599131938969591 \tabularnewline
0.89 & 116.825308790386 & 0.563029087889952 \tabularnewline
0.9 & 116.994771734107 & 0.51924680705976 \tabularnewline
0.91 & 117.159133435144 & 0.475172666765107 \tabularnewline
0.92 & 117.319341781406 & 0.436684545167694 \tabularnewline
0.93 & 117.476858373775 & 0.405252611125887 \tabularnewline
0.94 & 117.632259026279 & 0.376685310571405 \tabularnewline
0.95 & 117.784112903716 & 0.342330586550399 \tabularnewline
0.96 & 117.929434727351 & 0.294339092739205 \tabularnewline
0.97 & 118.066393743652 & 0.234709913698094 \tabularnewline
0.98 & 118.195912691749 & 0.186925736134335 \tabularnewline
0.99 & 118.313062021247 & 0.187283943387208 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48473&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]104.307227496652[/C][C]0.0664335804640473[/C][/ROW]
[ROW][C]0.02[/C][C]104.353748290077[/C][C]0.0841616598912708[/C][/ROW]
[ROW][C]0.03[/C][C]104.406798885137[/C][C]0.0923792905426788[/C][/ROW]
[ROW][C]0.04[/C][C]104.460537700185[/C][C]0.105183192399329[/C][/ROW]
[ROW][C]0.05[/C][C]104.516652313030[/C][C]0.134984041319359[/C][/ROW]
[ROW][C]0.06[/C][C]104.580251589776[/C][C]0.181771720578257[/C][/ROW]
[ROW][C]0.07[/C][C]104.656238089536[/C][C]0.240390662307654[/C][/ROW]
[ROW][C]0.08[/C][C]104.747411606828[/C][C]0.303362906770911[/C][/ROW]
[ROW][C]0.09[/C][C]104.853878128540[/C][C]0.362060086940722[/C][/ROW]
[ROW][C]0.1[/C][C]104.973220478621[/C][C]0.408333926227367[/C][/ROW]
[ROW][C]0.11[/C][C]105.101190135699[/C][C]0.436973723546364[/C][/ROW]
[ROW][C]0.12[/C][C]105.232760888959[/C][C]0.44721897281239[/C][/ROW]
[ROW][C]0.13[/C][C]105.363272212982[/C][C]0.44273261490489[/C][/ROW]
[ROW][C]0.14[/C][C]105.489337838424[/C][C]0.429610128416643[/C][/ROW]
[ROW][C]0.15[/C][C]105.609305198703[/C][C]0.414970190697754[/C][/ROW]
[ROW][C]0.16[/C][C]105.723243971581[/C][C]0.404992123455289[/C][/ROW]
[ROW][C]0.17[/C][C]105.832593885010[/C][C]0.403897487812539[/C][/ROW]
[ROW][C]0.18[/C][C]105.939653391768[/C][C]0.414016049370245[/C][/ROW]
[ROW][C]0.19[/C][C]106.047058046533[/C][C]0.435804870106418[/C][/ROW]
[ROW][C]0.2[/C][C]106.157332187736[/C][C]0.467237357474755[/C][/ROW]
[ROW][C]0.21[/C][C]106.272544010438[/C][C]0.506023097344584[/C][/ROW]
[ROW][C]0.22[/C][C]106.394069409692[/C][C]0.548441703694893[/C][/ROW]
[ROW][C]0.23[/C][C]106.522467457101[/C][C]0.590106217699698[/C][/ROW]
[ROW][C]0.24[/C][C]106.657473678574[/C][C]0.627482333552889[/C][/ROW]
[ROW][C]0.25[/C][C]106.798113291535[/C][C]0.657472020496449[/C][/ROW]
[ROW][C]0.26[/C][C]106.942921575516[/C][C]0.678623308105346[/C][/ROW]
[ROW][C]0.27[/C][C]107.090237704895[/C][C]0.69056267216277[/C][/ROW]
[ROW][C]0.28[/C][C]107.238520769649[/C][C]0.695103210856193[/C][/ROW]
[ROW][C]0.29[/C][C]107.386630086608[/C][C]0.695265005989286[/C][/ROW]
[ROW][C]0.3[/C][C]107.534019228432[/C][C]0.694798530830652[/C][/ROW]
[ROW][C]0.31[/C][C]107.680812130805[/C][C]0.697445172217045[/C][/ROW]
[ROW][C]0.32[/C][C]107.827754303508[/C][C]0.706484814325133[/C][/ROW]
[ROW][C]0.33[/C][C]107.976055890686[/C][C]0.72395782346146[/C][/ROW]
[ROW][C]0.34[/C][C]108.127160958183[/C][C]0.749899189807159[/C][/ROW]
[ROW][C]0.35[/C][C]108.282486458042[/C][C]0.783418780918195[/C][/ROW]
[ROW][C]0.36[/C][C]108.443174888780[/C][C]0.821779428959032[/C][/ROW]
[ROW][C]0.37[/C][C]108.609898401110[/C][C]0.861676650134704[/C][/ROW]
[ROW][C]0.38[/C][C]108.782741226191[/C][C]0.899603265725589[/C][/ROW]
[ROW][C]0.39[/C][C]108.961173942936[/C][C]0.931985228720308[/C][/ROW]
[ROW][C]0.4[/C][C]109.144119051073[/C][C]0.95613850738935[/C][/ROW]
[ROW][C]0.41[/C][C]109.330094170741[/C][C]0.970396483192986[/C][/ROW]
[ROW][C]0.42[/C][C]109.517408470132[/C][C]0.97426768881345[/C][/ROW]
[ROW][C]0.43[/C][C]109.704381029017[/C][C]0.968483478608726[/C][/ROW]
[ROW][C]0.44[/C][C]109.889547793675[/C][C]0.95517221008803[/C][/ROW]
[ROW][C]0.45[/C][C]110.071826876559[/C][C]0.936559539097929[/C][/ROW]
[ROW][C]0.46[/C][C]110.250619613720[/C][C]0.916116351642879[/C][/ROW]
[ROW][C]0.47[/C][C]110.425835600982[/C][C]0.896598599707177[/C][/ROW]
[ROW][C]0.48[/C][C]110.597841968035[/C][C]0.880676836006296[/C][/ROW]
[ROW][C]0.49[/C][C]110.767348438993[/C][C]0.869817392525446[/C][/ROW]
[ROW][C]0.5[/C][C]110.935248624007[/C][C]0.86485331385887[/C][/ROW]
[ROW][C]0.51[/C][C]111.102443410638[/C][C]0.864915737446314[/C][/ROW]
[ROW][C]0.52[/C][C]111.269673808416[/C][C]0.868757773609145[/C][/ROW]
[ROW][C]0.53[/C][C]111.437388213218[/C][C]0.87388359877613[/C][/ROW]
[ROW][C]0.54[/C][C]111.605663295664[/C][C]0.877872950223071[/C][/ROW]
[ROW][C]0.55[/C][C]111.774189422483[/C][C]0.87855600904342[/C][/ROW]
[ROW][C]0.56[/C][C]111.942321819864[/C][C]0.874016099470306[/C][/ROW]
[ROW][C]0.57[/C][C]112.109188908258[/C][C]0.863495503026563[/C][/ROW]
[ROW][C]0.58[/C][C]112.2738407426[/C][C]0.846636965373096[/C][/ROW]
[ROW][C]0.59[/C][C]112.435414463867[/C][C]0.824381874839757[/C][/ROW]
[ROW][C]0.6[/C][C]112.593290898690[/C][C]0.798955665383326[/C][/ROW]
[ROW][C]0.61[/C][C]112.747217217483[/C][C]0.772191892071982[/C][/ROW]
[ROW][C]0.62[/C][C]112.897374691278[/C][C]0.74734849516466[/C][/ROW]
[ROW][C]0.63[/C][C]113.044377573078[/C][C]0.726584307245375[/C][/ROW]
[ROW][C]0.64[/C][C]113.189198331053[/C][C]0.711923097688399[/C][/ROW]
[ROW][C]0.65[/C][C]113.333025156917[/C][C]0.704401125621323[/C][/ROW]
[ROW][C]0.66[/C][C]113.477068943165[/C][C]0.704013919355941[/C][/ROW]
[ROW][C]0.67[/C][C]113.622347426068[/C][C]0.709144935099339[/C][/ROW]
[ROW][C]0.68[/C][C]113.769482034036[/C][C]0.716593619143876[/C][/ROW]
[ROW][C]0.69[/C][C]113.918545906437[/C][C]0.723316492612501[/C][/ROW]
[ROW][C]0.7[/C][C]114.068997553979[/C][C]0.725613675483435[/C][/ROW]
[ROW][C]0.71[/C][C]114.219722883300[/C][C]0.720534625171767[/C][/ROW]
[ROW][C]0.72[/C][C]114.369189960513[/C][C]0.705905847580827[/C][/ROW]
[ROW][C]0.73[/C][C]114.515699324499[/C][C]0.681658929418303[/C][/ROW]
[ROW][C]0.74[/C][C]114.657692804530[/C][C]0.648830051501196[/C][/ROW]
[ROW][C]0.75[/C][C]114.794070564647[/C][C]0.610564050649312[/C][/ROW]
[ROW][C]0.76[/C][C]114.924462558567[/C][C]0.570682141923543[/C][/ROW]
[ROW][C]0.77[/C][C]115.049406725650[/C][C]0.534058448240187[/C][/ROW]
[ROW][C]0.78[/C][C]115.170399185918[/C][C]0.505407943973417[/C][/ROW]
[ROW][C]0.79[/C][C]115.289797375141[/C][C]0.488814382777583[/C][/ROW]
[ROW][C]0.8[/C][C]115.410572953272[/C][C]0.486786080486766[/C][/ROW]
[ROW][C]0.81[/C][C]115.535928186416[/C][C]0.49940248750035[/C][/ROW]
[ROW][C]0.82[/C][C]115.668810836474[/C][C]0.524150261386169[/C][/ROW]
[ROW][C]0.83[/C][C]115.811391048767[/C][C]0.5559949944856[/C][/ROW]
[ROW][C]0.84[/C][C]115.964596046802[/C][C]0.588194687053345[/C][/ROW]
[ROW][C]0.85[/C][C]116.127822238491[/C][C]0.613575292875062[/C][/ROW]
[ROW][C]0.86[/C][C]116.298940396086[/C][C]0.625891947549259[/C][/ROW]
[ROW][C]0.87[/C][C]116.474660894547[/C][C]0.621251692918017[/C][/ROW]
[ROW][C]0.88[/C][C]116.651230291352[/C][C]0.599131938969591[/C][/ROW]
[ROW][C]0.89[/C][C]116.825308790386[/C][C]0.563029087889952[/C][/ROW]
[ROW][C]0.9[/C][C]116.994771734107[/C][C]0.51924680705976[/C][/ROW]
[ROW][C]0.91[/C][C]117.159133435144[/C][C]0.475172666765107[/C][/ROW]
[ROW][C]0.92[/C][C]117.319341781406[/C][C]0.436684545167694[/C][/ROW]
[ROW][C]0.93[/C][C]117.476858373775[/C][C]0.405252611125887[/C][/ROW]
[ROW][C]0.94[/C][C]117.632259026279[/C][C]0.376685310571405[/C][/ROW]
[ROW][C]0.95[/C][C]117.784112903716[/C][C]0.342330586550399[/C][/ROW]
[ROW][C]0.96[/C][C]117.929434727351[/C][C]0.294339092739205[/C][/ROW]
[ROW][C]0.97[/C][C]118.066393743652[/C][C]0.234709913698094[/C][/ROW]
[ROW][C]0.98[/C][C]118.195912691749[/C][C]0.186925736134335[/C][/ROW]
[ROW][C]0.99[/C][C]118.313062021247[/C][C]0.187283943387208[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48473&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48473&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
0.01104.3072274966520.0664335804640473
0.02104.3537482900770.0841616598912708
0.03104.4067988851370.0923792905426788
0.04104.4605377001850.105183192399329
0.05104.5166523130300.134984041319359
0.06104.5802515897760.181771720578257
0.07104.6562380895360.240390662307654
0.08104.7474116068280.303362906770911
0.09104.8538781285400.362060086940722
0.1104.9732204786210.408333926227367
0.11105.1011901356990.436973723546364
0.12105.2327608889590.44721897281239
0.13105.3632722129820.44273261490489
0.14105.4893378384240.429610128416643
0.15105.6093051987030.414970190697754
0.16105.7232439715810.404992123455289
0.17105.8325938850100.403897487812539
0.18105.9396533917680.414016049370245
0.19106.0470580465330.435804870106418
0.2106.1573321877360.467237357474755
0.21106.2725440104380.506023097344584
0.22106.3940694096920.548441703694893
0.23106.5224674571010.590106217699698
0.24106.6574736785740.627482333552889
0.25106.7981132915350.657472020496449
0.26106.9429215755160.678623308105346
0.27107.0902377048950.69056267216277
0.28107.2385207696490.695103210856193
0.29107.3866300866080.695265005989286
0.3107.5340192284320.694798530830652
0.31107.6808121308050.697445172217045
0.32107.8277543035080.706484814325133
0.33107.9760558906860.72395782346146
0.34108.1271609581830.749899189807159
0.35108.2824864580420.783418780918195
0.36108.4431748887800.821779428959032
0.37108.6098984011100.861676650134704
0.38108.7827412261910.899603265725589
0.39108.9611739429360.931985228720308
0.4109.1441190510730.95613850738935
0.41109.3300941707410.970396483192986
0.42109.5174084701320.97426768881345
0.43109.7043810290170.968483478608726
0.44109.8895477936750.95517221008803
0.45110.0718268765590.936559539097929
0.46110.2506196137200.916116351642879
0.47110.4258356009820.896598599707177
0.48110.5978419680350.880676836006296
0.49110.7673484389930.869817392525446
0.5110.9352486240070.86485331385887
0.51111.1024434106380.864915737446314
0.52111.2696738084160.868757773609145
0.53111.4373882132180.87388359877613
0.54111.6056632956640.877872950223071
0.55111.7741894224830.87855600904342
0.56111.9423218198640.874016099470306
0.57112.1091889082580.863495503026563
0.58112.27384074260.846636965373096
0.59112.4354144638670.824381874839757
0.6112.5932908986900.798955665383326
0.61112.7472172174830.772191892071982
0.62112.8973746912780.74734849516466
0.63113.0443775730780.726584307245375
0.64113.1891983310530.711923097688399
0.65113.3330251569170.704401125621323
0.66113.4770689431650.704013919355941
0.67113.6223474260680.709144935099339
0.68113.7694820340360.716593619143876
0.69113.9185459064370.723316492612501
0.7114.0689975539790.725613675483435
0.71114.2197228833000.720534625171767
0.72114.3691899605130.705905847580827
0.73114.5156993244990.681658929418303
0.74114.6576928045300.648830051501196
0.75114.7940705646470.610564050649312
0.76114.9244625585670.570682141923543
0.77115.0494067256500.534058448240187
0.78115.1703991859180.505407943973417
0.79115.2897973751410.488814382777583
0.8115.4105729532720.486786080486766
0.81115.5359281864160.49940248750035
0.82115.6688108364740.524150261386169
0.83115.8113910487670.5559949944856
0.84115.9645960468020.588194687053345
0.85116.1278222384910.613575292875062
0.86116.2989403960860.625891947549259
0.87116.4746608945470.621251692918017
0.88116.6512302913520.599131938969591
0.89116.8253087903860.563029087889952
0.9116.9947717341070.51924680705976
0.91117.1591334351440.475172666765107
0.92117.3193417814060.436684545167694
0.93117.4768583737750.405252611125887
0.94117.6322590262790.376685310571405
0.95117.7841129037160.342330586550399
0.96117.9294347273510.294339092739205
0.97118.0663937436520.234709913698094
0.98118.1959126917490.186925736134335
0.99118.3130620212470.187283943387208


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')