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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, 12 Oct 2011 14:27:20 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318444150aaf0uyey4kh7fsm.htm/, Retrieved Fri, 10 May 2024 01:41:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128478, Retrieved Fri, 10 May 2024 01:41:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact149

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] [] [2011-10-12 18:27:20] [307fb8dee51f98edb4f1db3243dd69bf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.51
5.54
5.56
5.57
5.57
5.58
5.56
5.57
5.57
5.6
5.61
5.63
5.65
5.71
5.78
5.8
5.8
5.8
5.81
5.84
5.83
5.86
5.88
5.88
5.89
5.91
5.91
5.95
5.92
5.92
5.91
5.95
6.01
6.07
6.08
6.1
6.11
6.13
6.21
6.19
6.17
6.17
6.19
6.21
6.32
6.36
6.36
6.38
6.36
6.42
6.42
6.44
6.41
6.42
6.43
6.44
6.43
6.43
6.45
6.45

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'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128478&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128478&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128478&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.517185444108410.0266969403101677
0.025.527661941539340.0226669741847154
0.035.538278865235710.0184956616068057
0.045.547243409419320.0147407744522175
0.055.55415802686960.0117460712458972
0.065.559363325530540.00975889469612748
0.075.56341579980580.00891659207348178
0.085.566851687150020.0092997224978261
0.095.570128380377670.0109631096032067
0.15.573631684776080.0138781569423635
0.115.577692179764120.0179690572803246
0.125.582593062454480.0231262864817228
0.135.588569070455610.0292066479464344
0.145.595800608690460.0360171396817065
0.155.604406556494340.0433281198014536
0.165.614437594981210.0508401762258444
0.175.625871061254940.0581961371169205
0.185.638608495734660.0649971352695831
0.195.652477551134670.0708380144842457
0.25.667240006881020.0753601280132707
0.215.682606876403370.0782831182453036
0.225.698260114487410.0794692491589567
0.235.713878717742480.0789369472971848
0.245.72916567003810.076870062290469
0.255.74387168023820.0735799381114642
0.265.757812153795090.0694495891856347
0.275.770875169995790.064913490922888
0.285.783020007110050.0603733225965697
0.295.794267492114590.0561552330642931
0.35.804684744318680.0524607626031992
0.315.814367499662990.0493950779509183
0.325.823423115153430.0469526031946728
0.335.831956702544010.0450397296301816
0.345.840061867633460.0435324672334211
0.355.847816494255710.0423019059565766
0.365.85528311960650.0412527371904459
0.375.862512825026850.0403466799862731
0.385.86955125006760.0395827913704942
0.395.87644529425030.0390039453954632
0.45.883249228000470.0387246328373325
0.415.890029210548310.0388508178007894
0.425.896865540025510.0395109355836456
0.435.903852294480080.040825218030679
0.445.911094339217640.0428658598021722
0.455.918701966957840.0456544452744045
0.465.926783697563250.0491350333644803
0.475.935437983508050.0532101237055587
0.485.944744727417110.0577074307321152
0.495.95475759455360.0624058256563651
0.55.965498072851120.0670861849052018
0.515.976952083241690.0714914947119554
0.525.989069679553340.0753961472507118
0.536.001768028623210.078606194108961
0.546.014937476126470.080978503713154
0.556.028450141858740.082427901348796
0.566.042170207549960.082948965651123
0.576.055964901885950.0826000726877536
0.586.069715165001820.0815026064690557
0.596.083325071155630.0798310263453836
0.66.096729261545230.0778080353286466
0.616.109897836751550.0756496034497881
0.626.122838335882730.0736129389157319
0.636.135594568374460.0719176240098793
0.646.148242179836510.0707611148179803
0.656.160880970026880.0703034320107933
0.666.173624194529140.0706084714284657
0.676.186585410165970.0716643537985148
0.686.199863859723190.073345034234041
0.696.213529862892060.0754194293732618
0.76.227612057100710.0775835075181436
0.716.242088455455940.0794828626469668
0.726.256883025076470.0807631133031108
0.736.271868787490190.081123767459795
0.746.286877382126670.0803462426949734
0.756.301713829077770.078340053371726
0.766.316174185973850.0751296758220045
0.776.33006322721210.0708537247813092
0.786.343209385919780.0657413123540817
0.796.355474995992590.0600637134917381
0.86.366761132444540.0540835878950205
0.816.3770076827140.0480334829889662
0.826.386190263565180.042097828674291
0.836.394315929585870.0364004905192362
0.846.401419251261450.0310403058944194
0.856.40755949231090.0260911752233152
0.866.412818672412720.0216308619721565
0.876.417299638721180.0177309735518824
0.886.421123100870550.014453935926732
0.896.424422906343790.0118357541446417
0.96.427339467719290.00988853447327881
0.916.430011878500710.00856327317047079
0.926.432569349832360.00776814733590913
0.936.435121492832090.00735968672449973
0.946.437744511635630.00718125636990732
0.956.440458559869740.00707817098517261
0.966.443195735564180.00682539679368088
0.976.445774159116160.00605724314331461
0.986.447916513003380.00442480412665784
0.996.44935399469190.00206978743547017

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.51718544410841 & 0.0266969403101677 \tabularnewline
0.02 & 5.52766194153934 & 0.0226669741847154 \tabularnewline
0.03 & 5.53827886523571 & 0.0184956616068057 \tabularnewline
0.04 & 5.54724340941932 & 0.0147407744522175 \tabularnewline
0.05 & 5.5541580268696 & 0.0117460712458972 \tabularnewline
0.06 & 5.55936332553054 & 0.00975889469612748 \tabularnewline
0.07 & 5.5634157998058 & 0.00891659207348178 \tabularnewline
0.08 & 5.56685168715002 & 0.0092997224978261 \tabularnewline
0.09 & 5.57012838037767 & 0.0109631096032067 \tabularnewline
0.1 & 5.57363168477608 & 0.0138781569423635 \tabularnewline
0.11 & 5.57769217976412 & 0.0179690572803246 \tabularnewline
0.12 & 5.58259306245448 & 0.0231262864817228 \tabularnewline
0.13 & 5.58856907045561 & 0.0292066479464344 \tabularnewline
0.14 & 5.59580060869046 & 0.0360171396817065 \tabularnewline
0.15 & 5.60440655649434 & 0.0433281198014536 \tabularnewline
0.16 & 5.61443759498121 & 0.0508401762258444 \tabularnewline
0.17 & 5.62587106125494 & 0.0581961371169205 \tabularnewline
0.18 & 5.63860849573466 & 0.0649971352695831 \tabularnewline
0.19 & 5.65247755113467 & 0.0708380144842457 \tabularnewline
0.2 & 5.66724000688102 & 0.0753601280132707 \tabularnewline
0.21 & 5.68260687640337 & 0.0782831182453036 \tabularnewline
0.22 & 5.69826011448741 & 0.0794692491589567 \tabularnewline
0.23 & 5.71387871774248 & 0.0789369472971848 \tabularnewline
0.24 & 5.7291656700381 & 0.076870062290469 \tabularnewline
0.25 & 5.7438716802382 & 0.0735799381114642 \tabularnewline
0.26 & 5.75781215379509 & 0.0694495891856347 \tabularnewline
0.27 & 5.77087516999579 & 0.064913490922888 \tabularnewline
0.28 & 5.78302000711005 & 0.0603733225965697 \tabularnewline
0.29 & 5.79426749211459 & 0.0561552330642931 \tabularnewline
0.3 & 5.80468474431868 & 0.0524607626031992 \tabularnewline
0.31 & 5.81436749966299 & 0.0493950779509183 \tabularnewline
0.32 & 5.82342311515343 & 0.0469526031946728 \tabularnewline
0.33 & 5.83195670254401 & 0.0450397296301816 \tabularnewline
0.34 & 5.84006186763346 & 0.0435324672334211 \tabularnewline
0.35 & 5.84781649425571 & 0.0423019059565766 \tabularnewline
0.36 & 5.8552831196065 & 0.0412527371904459 \tabularnewline
0.37 & 5.86251282502685 & 0.0403466799862731 \tabularnewline
0.38 & 5.8695512500676 & 0.0395827913704942 \tabularnewline
0.39 & 5.8764452942503 & 0.0390039453954632 \tabularnewline
0.4 & 5.88324922800047 & 0.0387246328373325 \tabularnewline
0.41 & 5.89002921054831 & 0.0388508178007894 \tabularnewline
0.42 & 5.89686554002551 & 0.0395109355836456 \tabularnewline
0.43 & 5.90385229448008 & 0.040825218030679 \tabularnewline
0.44 & 5.91109433921764 & 0.0428658598021722 \tabularnewline
0.45 & 5.91870196695784 & 0.0456544452744045 \tabularnewline
0.46 & 5.92678369756325 & 0.0491350333644803 \tabularnewline
0.47 & 5.93543798350805 & 0.0532101237055587 \tabularnewline
0.48 & 5.94474472741711 & 0.0577074307321152 \tabularnewline
0.49 & 5.9547575945536 & 0.0624058256563651 \tabularnewline
0.5 & 5.96549807285112 & 0.0670861849052018 \tabularnewline
0.51 & 5.97695208324169 & 0.0714914947119554 \tabularnewline
0.52 & 5.98906967955334 & 0.0753961472507118 \tabularnewline
0.53 & 6.00176802862321 & 0.078606194108961 \tabularnewline
0.54 & 6.01493747612647 & 0.080978503713154 \tabularnewline
0.55 & 6.02845014185874 & 0.082427901348796 \tabularnewline
0.56 & 6.04217020754996 & 0.082948965651123 \tabularnewline
0.57 & 6.05596490188595 & 0.0826000726877536 \tabularnewline
0.58 & 6.06971516500182 & 0.0815026064690557 \tabularnewline
0.59 & 6.08332507115563 & 0.0798310263453836 \tabularnewline
0.6 & 6.09672926154523 & 0.0778080353286466 \tabularnewline
0.61 & 6.10989783675155 & 0.0756496034497881 \tabularnewline
0.62 & 6.12283833588273 & 0.0736129389157319 \tabularnewline
0.63 & 6.13559456837446 & 0.0719176240098793 \tabularnewline
0.64 & 6.14824217983651 & 0.0707611148179803 \tabularnewline
0.65 & 6.16088097002688 & 0.0703034320107933 \tabularnewline
0.66 & 6.17362419452914 & 0.0706084714284657 \tabularnewline
0.67 & 6.18658541016597 & 0.0716643537985148 \tabularnewline
0.68 & 6.19986385972319 & 0.073345034234041 \tabularnewline
0.69 & 6.21352986289206 & 0.0754194293732618 \tabularnewline
0.7 & 6.22761205710071 & 0.0775835075181436 \tabularnewline
0.71 & 6.24208845545594 & 0.0794828626469668 \tabularnewline
0.72 & 6.25688302507647 & 0.0807631133031108 \tabularnewline
0.73 & 6.27186878749019 & 0.081123767459795 \tabularnewline
0.74 & 6.28687738212667 & 0.0803462426949734 \tabularnewline
0.75 & 6.30171382907777 & 0.078340053371726 \tabularnewline
0.76 & 6.31617418597385 & 0.0751296758220045 \tabularnewline
0.77 & 6.3300632272121 & 0.0708537247813092 \tabularnewline
0.78 & 6.34320938591978 & 0.0657413123540817 \tabularnewline
0.79 & 6.35547499599259 & 0.0600637134917381 \tabularnewline
0.8 & 6.36676113244454 & 0.0540835878950205 \tabularnewline
0.81 & 6.377007682714 & 0.0480334829889662 \tabularnewline
0.82 & 6.38619026356518 & 0.042097828674291 \tabularnewline
0.83 & 6.39431592958587 & 0.0364004905192362 \tabularnewline
0.84 & 6.40141925126145 & 0.0310403058944194 \tabularnewline
0.85 & 6.4075594923109 & 0.0260911752233152 \tabularnewline
0.86 & 6.41281867241272 & 0.0216308619721565 \tabularnewline
0.87 & 6.41729963872118 & 0.0177309735518824 \tabularnewline
0.88 & 6.42112310087055 & 0.014453935926732 \tabularnewline
0.89 & 6.42442290634379 & 0.0118357541446417 \tabularnewline
0.9 & 6.42733946771929 & 0.00988853447327881 \tabularnewline
0.91 & 6.43001187850071 & 0.00856327317047079 \tabularnewline
0.92 & 6.43256934983236 & 0.00776814733590913 \tabularnewline
0.93 & 6.43512149283209 & 0.00735968672449973 \tabularnewline
0.94 & 6.43774451163563 & 0.00718125636990732 \tabularnewline
0.95 & 6.44045855986974 & 0.00707817098517261 \tabularnewline
0.96 & 6.44319573556418 & 0.00682539679368088 \tabularnewline
0.97 & 6.44577415911616 & 0.00605724314331461 \tabularnewline
0.98 & 6.44791651300338 & 0.00442480412665784 \tabularnewline
0.99 & 6.4493539946919 & 0.00206978743547017 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128478&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]5.51718544410841[/C][C]0.0266969403101677[/C][/ROW]
[ROW][C]0.02[/C][C]5.52766194153934[/C][C]0.0226669741847154[/C][/ROW]
[ROW][C]0.03[/C][C]5.53827886523571[/C][C]0.0184956616068057[/C][/ROW]
[ROW][C]0.04[/C][C]5.54724340941932[/C][C]0.0147407744522175[/C][/ROW]
[ROW][C]0.05[/C][C]5.5541580268696[/C][C]0.0117460712458972[/C][/ROW]
[ROW][C]0.06[/C][C]5.55936332553054[/C][C]0.00975889469612748[/C][/ROW]
[ROW][C]0.07[/C][C]5.5634157998058[/C][C]0.00891659207348178[/C][/ROW]
[ROW][C]0.08[/C][C]5.56685168715002[/C][C]0.0092997224978261[/C][/ROW]
[ROW][C]0.09[/C][C]5.57012838037767[/C][C]0.0109631096032067[/C][/ROW]
[ROW][C]0.1[/C][C]5.57363168477608[/C][C]0.0138781569423635[/C][/ROW]
[ROW][C]0.11[/C][C]5.57769217976412[/C][C]0.0179690572803246[/C][/ROW]
[ROW][C]0.12[/C][C]5.58259306245448[/C][C]0.0231262864817228[/C][/ROW]
[ROW][C]0.13[/C][C]5.58856907045561[/C][C]0.0292066479464344[/C][/ROW]
[ROW][C]0.14[/C][C]5.59580060869046[/C][C]0.0360171396817065[/C][/ROW]
[ROW][C]0.15[/C][C]5.60440655649434[/C][C]0.0433281198014536[/C][/ROW]
[ROW][C]0.16[/C][C]5.61443759498121[/C][C]0.0508401762258444[/C][/ROW]
[ROW][C]0.17[/C][C]5.62587106125494[/C][C]0.0581961371169205[/C][/ROW]
[ROW][C]0.18[/C][C]5.63860849573466[/C][C]0.0649971352695831[/C][/ROW]
[ROW][C]0.19[/C][C]5.65247755113467[/C][C]0.0708380144842457[/C][/ROW]
[ROW][C]0.2[/C][C]5.66724000688102[/C][C]0.0753601280132707[/C][/ROW]
[ROW][C]0.21[/C][C]5.68260687640337[/C][C]0.0782831182453036[/C][/ROW]
[ROW][C]0.22[/C][C]5.69826011448741[/C][C]0.0794692491589567[/C][/ROW]
[ROW][C]0.23[/C][C]5.71387871774248[/C][C]0.0789369472971848[/C][/ROW]
[ROW][C]0.24[/C][C]5.7291656700381[/C][C]0.076870062290469[/C][/ROW]
[ROW][C]0.25[/C][C]5.7438716802382[/C][C]0.0735799381114642[/C][/ROW]
[ROW][C]0.26[/C][C]5.75781215379509[/C][C]0.0694495891856347[/C][/ROW]
[ROW][C]0.27[/C][C]5.77087516999579[/C][C]0.064913490922888[/C][/ROW]
[ROW][C]0.28[/C][C]5.78302000711005[/C][C]0.0603733225965697[/C][/ROW]
[ROW][C]0.29[/C][C]5.79426749211459[/C][C]0.0561552330642931[/C][/ROW]
[ROW][C]0.3[/C][C]5.80468474431868[/C][C]0.0524607626031992[/C][/ROW]
[ROW][C]0.31[/C][C]5.81436749966299[/C][C]0.0493950779509183[/C][/ROW]
[ROW][C]0.32[/C][C]5.82342311515343[/C][C]0.0469526031946728[/C][/ROW]
[ROW][C]0.33[/C][C]5.83195670254401[/C][C]0.0450397296301816[/C][/ROW]
[ROW][C]0.34[/C][C]5.84006186763346[/C][C]0.0435324672334211[/C][/ROW]
[ROW][C]0.35[/C][C]5.84781649425571[/C][C]0.0423019059565766[/C][/ROW]
[ROW][C]0.36[/C][C]5.8552831196065[/C][C]0.0412527371904459[/C][/ROW]
[ROW][C]0.37[/C][C]5.86251282502685[/C][C]0.0403466799862731[/C][/ROW]
[ROW][C]0.38[/C][C]5.8695512500676[/C][C]0.0395827913704942[/C][/ROW]
[ROW][C]0.39[/C][C]5.8764452942503[/C][C]0.0390039453954632[/C][/ROW]
[ROW][C]0.4[/C][C]5.88324922800047[/C][C]0.0387246328373325[/C][/ROW]
[ROW][C]0.41[/C][C]5.89002921054831[/C][C]0.0388508178007894[/C][/ROW]
[ROW][C]0.42[/C][C]5.89686554002551[/C][C]0.0395109355836456[/C][/ROW]
[ROW][C]0.43[/C][C]5.90385229448008[/C][C]0.040825218030679[/C][/ROW]
[ROW][C]0.44[/C][C]5.91109433921764[/C][C]0.0428658598021722[/C][/ROW]
[ROW][C]0.45[/C][C]5.91870196695784[/C][C]0.0456544452744045[/C][/ROW]
[ROW][C]0.46[/C][C]5.92678369756325[/C][C]0.0491350333644803[/C][/ROW]
[ROW][C]0.47[/C][C]5.93543798350805[/C][C]0.0532101237055587[/C][/ROW]
[ROW][C]0.48[/C][C]5.94474472741711[/C][C]0.0577074307321152[/C][/ROW]
[ROW][C]0.49[/C][C]5.9547575945536[/C][C]0.0624058256563651[/C][/ROW]
[ROW][C]0.5[/C][C]5.96549807285112[/C][C]0.0670861849052018[/C][/ROW]
[ROW][C]0.51[/C][C]5.97695208324169[/C][C]0.0714914947119554[/C][/ROW]
[ROW][C]0.52[/C][C]5.98906967955334[/C][C]0.0753961472507118[/C][/ROW]
[ROW][C]0.53[/C][C]6.00176802862321[/C][C]0.078606194108961[/C][/ROW]
[ROW][C]0.54[/C][C]6.01493747612647[/C][C]0.080978503713154[/C][/ROW]
[ROW][C]0.55[/C][C]6.02845014185874[/C][C]0.082427901348796[/C][/ROW]
[ROW][C]0.56[/C][C]6.04217020754996[/C][C]0.082948965651123[/C][/ROW]
[ROW][C]0.57[/C][C]6.05596490188595[/C][C]0.0826000726877536[/C][/ROW]
[ROW][C]0.58[/C][C]6.06971516500182[/C][C]0.0815026064690557[/C][/ROW]
[ROW][C]0.59[/C][C]6.08332507115563[/C][C]0.0798310263453836[/C][/ROW]
[ROW][C]0.6[/C][C]6.09672926154523[/C][C]0.0778080353286466[/C][/ROW]
[ROW][C]0.61[/C][C]6.10989783675155[/C][C]0.0756496034497881[/C][/ROW]
[ROW][C]0.62[/C][C]6.12283833588273[/C][C]0.0736129389157319[/C][/ROW]
[ROW][C]0.63[/C][C]6.13559456837446[/C][C]0.0719176240098793[/C][/ROW]
[ROW][C]0.64[/C][C]6.14824217983651[/C][C]0.0707611148179803[/C][/ROW]
[ROW][C]0.65[/C][C]6.16088097002688[/C][C]0.0703034320107933[/C][/ROW]
[ROW][C]0.66[/C][C]6.17362419452914[/C][C]0.0706084714284657[/C][/ROW]
[ROW][C]0.67[/C][C]6.18658541016597[/C][C]0.0716643537985148[/C][/ROW]
[ROW][C]0.68[/C][C]6.19986385972319[/C][C]0.073345034234041[/C][/ROW]
[ROW][C]0.69[/C][C]6.21352986289206[/C][C]0.0754194293732618[/C][/ROW]
[ROW][C]0.7[/C][C]6.22761205710071[/C][C]0.0775835075181436[/C][/ROW]
[ROW][C]0.71[/C][C]6.24208845545594[/C][C]0.0794828626469668[/C][/ROW]
[ROW][C]0.72[/C][C]6.25688302507647[/C][C]0.0807631133031108[/C][/ROW]
[ROW][C]0.73[/C][C]6.27186878749019[/C][C]0.081123767459795[/C][/ROW]
[ROW][C]0.74[/C][C]6.28687738212667[/C][C]0.0803462426949734[/C][/ROW]
[ROW][C]0.75[/C][C]6.30171382907777[/C][C]0.078340053371726[/C][/ROW]
[ROW][C]0.76[/C][C]6.31617418597385[/C][C]0.0751296758220045[/C][/ROW]
[ROW][C]0.77[/C][C]6.3300632272121[/C][C]0.0708537247813092[/C][/ROW]
[ROW][C]0.78[/C][C]6.34320938591978[/C][C]0.0657413123540817[/C][/ROW]
[ROW][C]0.79[/C][C]6.35547499599259[/C][C]0.0600637134917381[/C][/ROW]
[ROW][C]0.8[/C][C]6.36676113244454[/C][C]0.0540835878950205[/C][/ROW]
[ROW][C]0.81[/C][C]6.377007682714[/C][C]0.0480334829889662[/C][/ROW]
[ROW][C]0.82[/C][C]6.38619026356518[/C][C]0.042097828674291[/C][/ROW]
[ROW][C]0.83[/C][C]6.39431592958587[/C][C]0.0364004905192362[/C][/ROW]
[ROW][C]0.84[/C][C]6.40141925126145[/C][C]0.0310403058944194[/C][/ROW]
[ROW][C]0.85[/C][C]6.4075594923109[/C][C]0.0260911752233152[/C][/ROW]
[ROW][C]0.86[/C][C]6.41281867241272[/C][C]0.0216308619721565[/C][/ROW]
[ROW][C]0.87[/C][C]6.41729963872118[/C][C]0.0177309735518824[/C][/ROW]
[ROW][C]0.88[/C][C]6.42112310087055[/C][C]0.014453935926732[/C][/ROW]
[ROW][C]0.89[/C][C]6.42442290634379[/C][C]0.0118357541446417[/C][/ROW]
[ROW][C]0.9[/C][C]6.42733946771929[/C][C]0.00988853447327881[/C][/ROW]
[ROW][C]0.91[/C][C]6.43001187850071[/C][C]0.00856327317047079[/C][/ROW]
[ROW][C]0.92[/C][C]6.43256934983236[/C][C]0.00776814733590913[/C][/ROW]
[ROW][C]0.93[/C][C]6.43512149283209[/C][C]0.00735968672449973[/C][/ROW]
[ROW][C]0.94[/C][C]6.43774451163563[/C][C]0.00718125636990732[/C][/ROW]
[ROW][C]0.95[/C][C]6.44045855986974[/C][C]0.00707817098517261[/C][/ROW]
[ROW][C]0.96[/C][C]6.44319573556418[/C][C]0.00682539679368088[/C][/ROW]
[ROW][C]0.97[/C][C]6.44577415911616[/C][C]0.00605724314331461[/C][/ROW]
[ROW][C]0.98[/C][C]6.44791651300338[/C][C]0.00442480412665784[/C][/ROW]
[ROW][C]0.99[/C][C]6.4493539946919[/C][C]0.00206978743547017[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128478&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128478&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
0.015.517185444108410.0266969403101677
0.025.527661941539340.0226669741847154
0.035.538278865235710.0184956616068057
0.045.547243409419320.0147407744522175
0.055.55415802686960.0117460712458972
0.065.559363325530540.00975889469612748
0.075.56341579980580.00891659207348178
0.085.566851687150020.0092997224978261
0.095.570128380377670.0109631096032067
0.15.573631684776080.0138781569423635
0.115.577692179764120.0179690572803246
0.125.582593062454480.0231262864817228
0.135.588569070455610.0292066479464344
0.145.595800608690460.0360171396817065
0.155.604406556494340.0433281198014536
0.165.614437594981210.0508401762258444
0.175.625871061254940.0581961371169205
0.185.638608495734660.0649971352695831
0.195.652477551134670.0708380144842457
0.25.667240006881020.0753601280132707
0.215.682606876403370.0782831182453036
0.225.698260114487410.0794692491589567
0.235.713878717742480.0789369472971848
0.245.72916567003810.076870062290469
0.255.74387168023820.0735799381114642
0.265.757812153795090.0694495891856347
0.275.770875169995790.064913490922888
0.285.783020007110050.0603733225965697
0.295.794267492114590.0561552330642931
0.35.804684744318680.0524607626031992
0.315.814367499662990.0493950779509183
0.325.823423115153430.0469526031946728
0.335.831956702544010.0450397296301816
0.345.840061867633460.0435324672334211
0.355.847816494255710.0423019059565766
0.365.85528311960650.0412527371904459
0.375.862512825026850.0403466799862731
0.385.86955125006760.0395827913704942
0.395.87644529425030.0390039453954632
0.45.883249228000470.0387246328373325
0.415.890029210548310.0388508178007894
0.425.896865540025510.0395109355836456
0.435.903852294480080.040825218030679
0.445.911094339217640.0428658598021722
0.455.918701966957840.0456544452744045
0.465.926783697563250.0491350333644803
0.475.935437983508050.0532101237055587
0.485.944744727417110.0577074307321152
0.495.95475759455360.0624058256563651
0.55.965498072851120.0670861849052018
0.515.976952083241690.0714914947119554
0.525.989069679553340.0753961472507118
0.536.001768028623210.078606194108961
0.546.014937476126470.080978503713154
0.556.028450141858740.082427901348796
0.566.042170207549960.082948965651123
0.576.055964901885950.0826000726877536
0.586.069715165001820.0815026064690557
0.596.083325071155630.0798310263453836
0.66.096729261545230.0778080353286466
0.616.109897836751550.0756496034497881
0.626.122838335882730.0736129389157319
0.636.135594568374460.0719176240098793
0.646.148242179836510.0707611148179803
0.656.160880970026880.0703034320107933
0.666.173624194529140.0706084714284657
0.676.186585410165970.0716643537985148
0.686.199863859723190.073345034234041
0.696.213529862892060.0754194293732618
0.76.227612057100710.0775835075181436
0.716.242088455455940.0794828626469668
0.726.256883025076470.0807631133031108
0.736.271868787490190.081123767459795
0.746.286877382126670.0803462426949734
0.756.301713829077770.078340053371726
0.766.316174185973850.0751296758220045
0.776.33006322721210.0708537247813092
0.786.343209385919780.0657413123540817
0.796.355474995992590.0600637134917381
0.86.366761132444540.0540835878950205
0.816.3770076827140.0480334829889662
0.826.386190263565180.042097828674291
0.836.394315929585870.0364004905192362
0.846.401419251261450.0310403058944194
0.856.40755949231090.0260911752233152
0.866.412818672412720.0216308619721565
0.876.417299638721180.0177309735518824
0.886.421123100870550.014453935926732
0.896.424422906343790.0118357541446417
0.96.427339467719290.00988853447327881
0.916.430011878500710.00856327317047079
0.926.432569349832360.00776814733590913
0.936.435121492832090.00735968672449973
0.946.437744511635630.00718125636990732
0.956.440458559869740.00707817098517261
0.966.443195735564180.00682539679368088
0.976.445774159116160.00605724314331461
0.986.447916513003380.00442480412665784
0.996.44935399469190.00206978743547017


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')