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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, 24 Feb 2016 15:15:52 +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/2016/Feb/24/t14563270830jatxarjv1bs2ot.htm/, Retrieved Sat, 04 May 2024 02:34:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292640, Retrieved Sat, 04 May 2024 02:34:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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] [Harrell-Davis Kle...] [2016-02-24 15:15:52] [8955cd9eab9a69f2891c3fcdee8de955] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.68
101.25
101.24
101.11
101.08
101.09
101.09
101.62
101.66
101.96
102.04
102.02
102.02
101.51
101.62
101.83
102.06
102.14
102.14
102.59
102.92
103.31
103.54
103.58
103.58
102.83
102.86
103.03
103.2
103.28
103.28
103.79
103.92
104.26
104.41
104.45
99.92
99.18
99.18
99.35
99.62
99.67
99.72
100.08
100.39
100.77
101.03
101.07
101.29
101.1
101.2
101.15
101.24
101.16
100.81
101.02
101.15
101.06
101.17
101.22
101.84
101.79
101.88
101.9
101.91
101.96
101.26
101.06
100.98
101.12
101.24
101.25

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292640&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292640&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.20109010844190.0628046277714889
0.0299.25340567573480.142330317745053
0.0399.33456256265320.201390362223324
0.0499.43363973334110.232902934427799
0.0599.54009990534770.251072911531784
0.0699.64871125237360.273776924022809
0.0799.75931239637650.308847436442737
0.0899.87398057381680.352560598922197
0.0999.9942383254620.395072313814845
0.1100.1195680355320.427186488900348
0.11100.2473002836150.442252302878427
0.12100.373369767460.437933956271151
0.13100.4933588358590.415399575866534
0.14100.6034121071340.378543609598594
0.15100.700817169930.332418684533429
0.16100.7842165061830.282505298600839
0.17100.8535201560740.233312826006506
0.18100.9096326813770.188156963197675
0.19100.9541076126670.14905555668255
0.2100.9888161797360.116783633353042
0.21101.0156814939460.0913136941298834
0.22101.03649676590.0721160799012531
0.23101.052823083140.05833834329624
0.24101.0659500102430.0490128370873902
0.25101.0768987640930.0431979311694675
0.26101.0864496930550.0401190431772133
0.27101.0951802405280.0388830852418955
0.28101.1035044099970.0390185524155526
0.29101.1117088491190.0401476800468186
0.3101.119983640480.0415845184944061
0.31101.1284477619440.0435050595924243
0.32101.1371701829030.0455533500389928
0.33101.1461879471110.047470203096932
0.34101.1555225572590.0494284397950244
0.35101.1651956443190.0515140220995954
0.36101.175244344540.0538079158931438
0.37101.1857360785630.0564565884382627
0.38101.1967816273310.0598805993858629
0.39101.2085446862170.0643350797497471
0.4101.2212456571640.0703890246054807
0.41101.2351575112570.0782459962126914
0.42101.2505922490130.0882000196824784
0.43101.2678777888350.10010379388849
0.44101.2873268354290.113873076082925
0.45101.3092010699610.128901630718409
0.46101.3336754280270.144350470606796
0.47101.3608078838430.15994992749843
0.48101.3905197836630.174312030344541
0.49101.4225903531890.186880433774518
0.5101.456666794050.196811879265621
0.51101.4922888489690.203731065741382
0.52101.5289244131410.207379147945103
0.53101.566011202160.207597149055088
0.54101.6029989628720.204811669072175
0.55101.6393872735790.199343436402941
0.56101.6747554049680.191686937160669
0.57101.7087826080090.182683684132312
0.58101.7412591138720.17258760190961
0.59101.7720896958440.162475826480551
0.6101.8012926178840.152602504401444
0.61101.8289970928580.143617366770474
0.62101.8554420163920.135998940006299
0.63101.8809777957080.130345715892299
0.64101.9060716300990.12734634242243
0.65101.9313147154440.127470138768057
0.66101.9574277221360.131712551891235
0.67101.9852588895780.140556267326909
0.68102.0157677635130.154760076379554
0.69102.0499877029260.174244126478569
0.7102.0889624821110.199035923514019
0.71102.1336569233090.22829588273302
0.72102.1848481186180.26059430703057
0.73102.2430111326010.293988408756316
0.74102.3082190297630.326140723871937
0.75102.3800793016390.354477526970462
0.76102.4577255437870.376749235873973
0.77102.5398743209240.39093634605305
0.78102.6249443085790.396142719668762
0.79102.7112214336620.392383161930332
0.8102.7970437905090.380350778105439
0.81102.8809764655130.361909364067347
0.82102.9619497321650.339158155342088
0.83103.0393428500280.314413624026965
0.84103.1130074546840.289911519811824
0.85103.1832374593290.267487601694413
0.86103.250705731660.248423170117048
0.87103.3164000532620.233524025644902
0.88103.3815968584760.2230810400675
0.89103.4479011132530.217264906943566
0.9103.5173434951460.216677482095044
0.91103.5924581287140.222475079147342
0.92103.6761790621890.235655981035213
0.93103.7713311702150.25535565772417
0.94103.8795248773280.276940166466219
0.95103.9994961230680.29087893567403
0.96104.1254277048980.284041755842836
0.97104.2463883911330.244777904160992
0.98104.3481692026320.172767813794468
0.99104.4178592266590.0895234583644783

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.2010901084419 & 0.0628046277714889 \tabularnewline
0.02 & 99.2534056757348 & 0.142330317745053 \tabularnewline
0.03 & 99.3345625626532 & 0.201390362223324 \tabularnewline
0.04 & 99.4336397333411 & 0.232902934427799 \tabularnewline
0.05 & 99.5400999053477 & 0.251072911531784 \tabularnewline
0.06 & 99.6487112523736 & 0.273776924022809 \tabularnewline
0.07 & 99.7593123963765 & 0.308847436442737 \tabularnewline
0.08 & 99.8739805738168 & 0.352560598922197 \tabularnewline
0.09 & 99.994238325462 & 0.395072313814845 \tabularnewline
0.1 & 100.119568035532 & 0.427186488900348 \tabularnewline
0.11 & 100.247300283615 & 0.442252302878427 \tabularnewline
0.12 & 100.37336976746 & 0.437933956271151 \tabularnewline
0.13 & 100.493358835859 & 0.415399575866534 \tabularnewline
0.14 & 100.603412107134 & 0.378543609598594 \tabularnewline
0.15 & 100.70081716993 & 0.332418684533429 \tabularnewline
0.16 & 100.784216506183 & 0.282505298600839 \tabularnewline
0.17 & 100.853520156074 & 0.233312826006506 \tabularnewline
0.18 & 100.909632681377 & 0.188156963197675 \tabularnewline
0.19 & 100.954107612667 & 0.14905555668255 \tabularnewline
0.2 & 100.988816179736 & 0.116783633353042 \tabularnewline
0.21 & 101.015681493946 & 0.0913136941298834 \tabularnewline
0.22 & 101.0364967659 & 0.0721160799012531 \tabularnewline
0.23 & 101.05282308314 & 0.05833834329624 \tabularnewline
0.24 & 101.065950010243 & 0.0490128370873902 \tabularnewline
0.25 & 101.076898764093 & 0.0431979311694675 \tabularnewline
0.26 & 101.086449693055 & 0.0401190431772133 \tabularnewline
0.27 & 101.095180240528 & 0.0388830852418955 \tabularnewline
0.28 & 101.103504409997 & 0.0390185524155526 \tabularnewline
0.29 & 101.111708849119 & 0.0401476800468186 \tabularnewline
0.3 & 101.11998364048 & 0.0415845184944061 \tabularnewline
0.31 & 101.128447761944 & 0.0435050595924243 \tabularnewline
0.32 & 101.137170182903 & 0.0455533500389928 \tabularnewline
0.33 & 101.146187947111 & 0.047470203096932 \tabularnewline
0.34 & 101.155522557259 & 0.0494284397950244 \tabularnewline
0.35 & 101.165195644319 & 0.0515140220995954 \tabularnewline
0.36 & 101.17524434454 & 0.0538079158931438 \tabularnewline
0.37 & 101.185736078563 & 0.0564565884382627 \tabularnewline
0.38 & 101.196781627331 & 0.0598805993858629 \tabularnewline
0.39 & 101.208544686217 & 0.0643350797497471 \tabularnewline
0.4 & 101.221245657164 & 0.0703890246054807 \tabularnewline
0.41 & 101.235157511257 & 0.0782459962126914 \tabularnewline
0.42 & 101.250592249013 & 0.0882000196824784 \tabularnewline
0.43 & 101.267877788835 & 0.10010379388849 \tabularnewline
0.44 & 101.287326835429 & 0.113873076082925 \tabularnewline
0.45 & 101.309201069961 & 0.128901630718409 \tabularnewline
0.46 & 101.333675428027 & 0.144350470606796 \tabularnewline
0.47 & 101.360807883843 & 0.15994992749843 \tabularnewline
0.48 & 101.390519783663 & 0.174312030344541 \tabularnewline
0.49 & 101.422590353189 & 0.186880433774518 \tabularnewline
0.5 & 101.45666679405 & 0.196811879265621 \tabularnewline
0.51 & 101.492288848969 & 0.203731065741382 \tabularnewline
0.52 & 101.528924413141 & 0.207379147945103 \tabularnewline
0.53 & 101.56601120216 & 0.207597149055088 \tabularnewline
0.54 & 101.602998962872 & 0.204811669072175 \tabularnewline
0.55 & 101.639387273579 & 0.199343436402941 \tabularnewline
0.56 & 101.674755404968 & 0.191686937160669 \tabularnewline
0.57 & 101.708782608009 & 0.182683684132312 \tabularnewline
0.58 & 101.741259113872 & 0.17258760190961 \tabularnewline
0.59 & 101.772089695844 & 0.162475826480551 \tabularnewline
0.6 & 101.801292617884 & 0.152602504401444 \tabularnewline
0.61 & 101.828997092858 & 0.143617366770474 \tabularnewline
0.62 & 101.855442016392 & 0.135998940006299 \tabularnewline
0.63 & 101.880977795708 & 0.130345715892299 \tabularnewline
0.64 & 101.906071630099 & 0.12734634242243 \tabularnewline
0.65 & 101.931314715444 & 0.127470138768057 \tabularnewline
0.66 & 101.957427722136 & 0.131712551891235 \tabularnewline
0.67 & 101.985258889578 & 0.140556267326909 \tabularnewline
0.68 & 102.015767763513 & 0.154760076379554 \tabularnewline
0.69 & 102.049987702926 & 0.174244126478569 \tabularnewline
0.7 & 102.088962482111 & 0.199035923514019 \tabularnewline
0.71 & 102.133656923309 & 0.22829588273302 \tabularnewline
0.72 & 102.184848118618 & 0.26059430703057 \tabularnewline
0.73 & 102.243011132601 & 0.293988408756316 \tabularnewline
0.74 & 102.308219029763 & 0.326140723871937 \tabularnewline
0.75 & 102.380079301639 & 0.354477526970462 \tabularnewline
0.76 & 102.457725543787 & 0.376749235873973 \tabularnewline
0.77 & 102.539874320924 & 0.39093634605305 \tabularnewline
0.78 & 102.624944308579 & 0.396142719668762 \tabularnewline
0.79 & 102.711221433662 & 0.392383161930332 \tabularnewline
0.8 & 102.797043790509 & 0.380350778105439 \tabularnewline
0.81 & 102.880976465513 & 0.361909364067347 \tabularnewline
0.82 & 102.961949732165 & 0.339158155342088 \tabularnewline
0.83 & 103.039342850028 & 0.314413624026965 \tabularnewline
0.84 & 103.113007454684 & 0.289911519811824 \tabularnewline
0.85 & 103.183237459329 & 0.267487601694413 \tabularnewline
0.86 & 103.25070573166 & 0.248423170117048 \tabularnewline
0.87 & 103.316400053262 & 0.233524025644902 \tabularnewline
0.88 & 103.381596858476 & 0.2230810400675 \tabularnewline
0.89 & 103.447901113253 & 0.217264906943566 \tabularnewline
0.9 & 103.517343495146 & 0.216677482095044 \tabularnewline
0.91 & 103.592458128714 & 0.222475079147342 \tabularnewline
0.92 & 103.676179062189 & 0.235655981035213 \tabularnewline
0.93 & 103.771331170215 & 0.25535565772417 \tabularnewline
0.94 & 103.879524877328 & 0.276940166466219 \tabularnewline
0.95 & 103.999496123068 & 0.29087893567403 \tabularnewline
0.96 & 104.125427704898 & 0.284041755842836 \tabularnewline
0.97 & 104.246388391133 & 0.244777904160992 \tabularnewline
0.98 & 104.348169202632 & 0.172767813794468 \tabularnewline
0.99 & 104.417859226659 & 0.0895234583644783 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292640&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]99.2010901084419[/C][C]0.0628046277714889[/C][/ROW]
[ROW][C]0.02[/C][C]99.2534056757348[/C][C]0.142330317745053[/C][/ROW]
[ROW][C]0.03[/C][C]99.3345625626532[/C][C]0.201390362223324[/C][/ROW]
[ROW][C]0.04[/C][C]99.4336397333411[/C][C]0.232902934427799[/C][/ROW]
[ROW][C]0.05[/C][C]99.5400999053477[/C][C]0.251072911531784[/C][/ROW]
[ROW][C]0.06[/C][C]99.6487112523736[/C][C]0.273776924022809[/C][/ROW]
[ROW][C]0.07[/C][C]99.7593123963765[/C][C]0.308847436442737[/C][/ROW]
[ROW][C]0.08[/C][C]99.8739805738168[/C][C]0.352560598922197[/C][/ROW]
[ROW][C]0.09[/C][C]99.994238325462[/C][C]0.395072313814845[/C][/ROW]
[ROW][C]0.1[/C][C]100.119568035532[/C][C]0.427186488900348[/C][/ROW]
[ROW][C]0.11[/C][C]100.247300283615[/C][C]0.442252302878427[/C][/ROW]
[ROW][C]0.12[/C][C]100.37336976746[/C][C]0.437933956271151[/C][/ROW]
[ROW][C]0.13[/C][C]100.493358835859[/C][C]0.415399575866534[/C][/ROW]
[ROW][C]0.14[/C][C]100.603412107134[/C][C]0.378543609598594[/C][/ROW]
[ROW][C]0.15[/C][C]100.70081716993[/C][C]0.332418684533429[/C][/ROW]
[ROW][C]0.16[/C][C]100.784216506183[/C][C]0.282505298600839[/C][/ROW]
[ROW][C]0.17[/C][C]100.853520156074[/C][C]0.233312826006506[/C][/ROW]
[ROW][C]0.18[/C][C]100.909632681377[/C][C]0.188156963197675[/C][/ROW]
[ROW][C]0.19[/C][C]100.954107612667[/C][C]0.14905555668255[/C][/ROW]
[ROW][C]0.2[/C][C]100.988816179736[/C][C]0.116783633353042[/C][/ROW]
[ROW][C]0.21[/C][C]101.015681493946[/C][C]0.0913136941298834[/C][/ROW]
[ROW][C]0.22[/C][C]101.0364967659[/C][C]0.0721160799012531[/C][/ROW]
[ROW][C]0.23[/C][C]101.05282308314[/C][C]0.05833834329624[/C][/ROW]
[ROW][C]0.24[/C][C]101.065950010243[/C][C]0.0490128370873902[/C][/ROW]
[ROW][C]0.25[/C][C]101.076898764093[/C][C]0.0431979311694675[/C][/ROW]
[ROW][C]0.26[/C][C]101.086449693055[/C][C]0.0401190431772133[/C][/ROW]
[ROW][C]0.27[/C][C]101.095180240528[/C][C]0.0388830852418955[/C][/ROW]
[ROW][C]0.28[/C][C]101.103504409997[/C][C]0.0390185524155526[/C][/ROW]
[ROW][C]0.29[/C][C]101.111708849119[/C][C]0.0401476800468186[/C][/ROW]
[ROW][C]0.3[/C][C]101.11998364048[/C][C]0.0415845184944061[/C][/ROW]
[ROW][C]0.31[/C][C]101.128447761944[/C][C]0.0435050595924243[/C][/ROW]
[ROW][C]0.32[/C][C]101.137170182903[/C][C]0.0455533500389928[/C][/ROW]
[ROW][C]0.33[/C][C]101.146187947111[/C][C]0.047470203096932[/C][/ROW]
[ROW][C]0.34[/C][C]101.155522557259[/C][C]0.0494284397950244[/C][/ROW]
[ROW][C]0.35[/C][C]101.165195644319[/C][C]0.0515140220995954[/C][/ROW]
[ROW][C]0.36[/C][C]101.17524434454[/C][C]0.0538079158931438[/C][/ROW]
[ROW][C]0.37[/C][C]101.185736078563[/C][C]0.0564565884382627[/C][/ROW]
[ROW][C]0.38[/C][C]101.196781627331[/C][C]0.0598805993858629[/C][/ROW]
[ROW][C]0.39[/C][C]101.208544686217[/C][C]0.0643350797497471[/C][/ROW]
[ROW][C]0.4[/C][C]101.221245657164[/C][C]0.0703890246054807[/C][/ROW]
[ROW][C]0.41[/C][C]101.235157511257[/C][C]0.0782459962126914[/C][/ROW]
[ROW][C]0.42[/C][C]101.250592249013[/C][C]0.0882000196824784[/C][/ROW]
[ROW][C]0.43[/C][C]101.267877788835[/C][C]0.10010379388849[/C][/ROW]
[ROW][C]0.44[/C][C]101.287326835429[/C][C]0.113873076082925[/C][/ROW]
[ROW][C]0.45[/C][C]101.309201069961[/C][C]0.128901630718409[/C][/ROW]
[ROW][C]0.46[/C][C]101.333675428027[/C][C]0.144350470606796[/C][/ROW]
[ROW][C]0.47[/C][C]101.360807883843[/C][C]0.15994992749843[/C][/ROW]
[ROW][C]0.48[/C][C]101.390519783663[/C][C]0.174312030344541[/C][/ROW]
[ROW][C]0.49[/C][C]101.422590353189[/C][C]0.186880433774518[/C][/ROW]
[ROW][C]0.5[/C][C]101.45666679405[/C][C]0.196811879265621[/C][/ROW]
[ROW][C]0.51[/C][C]101.492288848969[/C][C]0.203731065741382[/C][/ROW]
[ROW][C]0.52[/C][C]101.528924413141[/C][C]0.207379147945103[/C][/ROW]
[ROW][C]0.53[/C][C]101.56601120216[/C][C]0.207597149055088[/C][/ROW]
[ROW][C]0.54[/C][C]101.602998962872[/C][C]0.204811669072175[/C][/ROW]
[ROW][C]0.55[/C][C]101.639387273579[/C][C]0.199343436402941[/C][/ROW]
[ROW][C]0.56[/C][C]101.674755404968[/C][C]0.191686937160669[/C][/ROW]
[ROW][C]0.57[/C][C]101.708782608009[/C][C]0.182683684132312[/C][/ROW]
[ROW][C]0.58[/C][C]101.741259113872[/C][C]0.17258760190961[/C][/ROW]
[ROW][C]0.59[/C][C]101.772089695844[/C][C]0.162475826480551[/C][/ROW]
[ROW][C]0.6[/C][C]101.801292617884[/C][C]0.152602504401444[/C][/ROW]
[ROW][C]0.61[/C][C]101.828997092858[/C][C]0.143617366770474[/C][/ROW]
[ROW][C]0.62[/C][C]101.855442016392[/C][C]0.135998940006299[/C][/ROW]
[ROW][C]0.63[/C][C]101.880977795708[/C][C]0.130345715892299[/C][/ROW]
[ROW][C]0.64[/C][C]101.906071630099[/C][C]0.12734634242243[/C][/ROW]
[ROW][C]0.65[/C][C]101.931314715444[/C][C]0.127470138768057[/C][/ROW]
[ROW][C]0.66[/C][C]101.957427722136[/C][C]0.131712551891235[/C][/ROW]
[ROW][C]0.67[/C][C]101.985258889578[/C][C]0.140556267326909[/C][/ROW]
[ROW][C]0.68[/C][C]102.015767763513[/C][C]0.154760076379554[/C][/ROW]
[ROW][C]0.69[/C][C]102.049987702926[/C][C]0.174244126478569[/C][/ROW]
[ROW][C]0.7[/C][C]102.088962482111[/C][C]0.199035923514019[/C][/ROW]
[ROW][C]0.71[/C][C]102.133656923309[/C][C]0.22829588273302[/C][/ROW]
[ROW][C]0.72[/C][C]102.184848118618[/C][C]0.26059430703057[/C][/ROW]
[ROW][C]0.73[/C][C]102.243011132601[/C][C]0.293988408756316[/C][/ROW]
[ROW][C]0.74[/C][C]102.308219029763[/C][C]0.326140723871937[/C][/ROW]
[ROW][C]0.75[/C][C]102.380079301639[/C][C]0.354477526970462[/C][/ROW]
[ROW][C]0.76[/C][C]102.457725543787[/C][C]0.376749235873973[/C][/ROW]
[ROW][C]0.77[/C][C]102.539874320924[/C][C]0.39093634605305[/C][/ROW]
[ROW][C]0.78[/C][C]102.624944308579[/C][C]0.396142719668762[/C][/ROW]
[ROW][C]0.79[/C][C]102.711221433662[/C][C]0.392383161930332[/C][/ROW]
[ROW][C]0.8[/C][C]102.797043790509[/C][C]0.380350778105439[/C][/ROW]
[ROW][C]0.81[/C][C]102.880976465513[/C][C]0.361909364067347[/C][/ROW]
[ROW][C]0.82[/C][C]102.961949732165[/C][C]0.339158155342088[/C][/ROW]
[ROW][C]0.83[/C][C]103.039342850028[/C][C]0.314413624026965[/C][/ROW]
[ROW][C]0.84[/C][C]103.113007454684[/C][C]0.289911519811824[/C][/ROW]
[ROW][C]0.85[/C][C]103.183237459329[/C][C]0.267487601694413[/C][/ROW]
[ROW][C]0.86[/C][C]103.25070573166[/C][C]0.248423170117048[/C][/ROW]
[ROW][C]0.87[/C][C]103.316400053262[/C][C]0.233524025644902[/C][/ROW]
[ROW][C]0.88[/C][C]103.381596858476[/C][C]0.2230810400675[/C][/ROW]
[ROW][C]0.89[/C][C]103.447901113253[/C][C]0.217264906943566[/C][/ROW]
[ROW][C]0.9[/C][C]103.517343495146[/C][C]0.216677482095044[/C][/ROW]
[ROW][C]0.91[/C][C]103.592458128714[/C][C]0.222475079147342[/C][/ROW]
[ROW][C]0.92[/C][C]103.676179062189[/C][C]0.235655981035213[/C][/ROW]
[ROW][C]0.93[/C][C]103.771331170215[/C][C]0.25535565772417[/C][/ROW]
[ROW][C]0.94[/C][C]103.879524877328[/C][C]0.276940166466219[/C][/ROW]
[ROW][C]0.95[/C][C]103.999496123068[/C][C]0.29087893567403[/C][/ROW]
[ROW][C]0.96[/C][C]104.125427704898[/C][C]0.284041755842836[/C][/ROW]
[ROW][C]0.97[/C][C]104.246388391133[/C][C]0.244777904160992[/C][/ROW]
[ROW][C]0.98[/C][C]104.348169202632[/C][C]0.172767813794468[/C][/ROW]
[ROW][C]0.99[/C][C]104.417859226659[/C][C]0.0895234583644783[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292640&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
0.0199.20109010844190.0628046277714889
0.0299.25340567573480.142330317745053
0.0399.33456256265320.201390362223324
0.0499.43363973334110.232902934427799
0.0599.54009990534770.251072911531784
0.0699.64871125237360.273776924022809
0.0799.75931239637650.308847436442737
0.0899.87398057381680.352560598922197
0.0999.9942383254620.395072313814845
0.1100.1195680355320.427186488900348
0.11100.2473002836150.442252302878427
0.12100.373369767460.437933956271151
0.13100.4933588358590.415399575866534
0.14100.6034121071340.378543609598594
0.15100.700817169930.332418684533429
0.16100.7842165061830.282505298600839
0.17100.8535201560740.233312826006506
0.18100.9096326813770.188156963197675
0.19100.9541076126670.14905555668255
0.2100.9888161797360.116783633353042
0.21101.0156814939460.0913136941298834
0.22101.03649676590.0721160799012531
0.23101.052823083140.05833834329624
0.24101.0659500102430.0490128370873902
0.25101.0768987640930.0431979311694675
0.26101.0864496930550.0401190431772133
0.27101.0951802405280.0388830852418955
0.28101.1035044099970.0390185524155526
0.29101.1117088491190.0401476800468186
0.3101.119983640480.0415845184944061
0.31101.1284477619440.0435050595924243
0.32101.1371701829030.0455533500389928
0.33101.1461879471110.047470203096932
0.34101.1555225572590.0494284397950244
0.35101.1651956443190.0515140220995954
0.36101.175244344540.0538079158931438
0.37101.1857360785630.0564565884382627
0.38101.1967816273310.0598805993858629
0.39101.2085446862170.0643350797497471
0.4101.2212456571640.0703890246054807
0.41101.2351575112570.0782459962126914
0.42101.2505922490130.0882000196824784
0.43101.2678777888350.10010379388849
0.44101.2873268354290.113873076082925
0.45101.3092010699610.128901630718409
0.46101.3336754280270.144350470606796
0.47101.3608078838430.15994992749843
0.48101.3905197836630.174312030344541
0.49101.4225903531890.186880433774518
0.5101.456666794050.196811879265621
0.51101.4922888489690.203731065741382
0.52101.5289244131410.207379147945103
0.53101.566011202160.207597149055088
0.54101.6029989628720.204811669072175
0.55101.6393872735790.199343436402941
0.56101.6747554049680.191686937160669
0.57101.7087826080090.182683684132312
0.58101.7412591138720.17258760190961
0.59101.7720896958440.162475826480551
0.6101.8012926178840.152602504401444
0.61101.8289970928580.143617366770474
0.62101.8554420163920.135998940006299
0.63101.8809777957080.130345715892299
0.64101.9060716300990.12734634242243
0.65101.9313147154440.127470138768057
0.66101.9574277221360.131712551891235
0.67101.9852588895780.140556267326909
0.68102.0157677635130.154760076379554
0.69102.0499877029260.174244126478569
0.7102.0889624821110.199035923514019
0.71102.1336569233090.22829588273302
0.72102.1848481186180.26059430703057
0.73102.2430111326010.293988408756316
0.74102.3082190297630.326140723871937
0.75102.3800793016390.354477526970462
0.76102.4577255437870.376749235873973
0.77102.5398743209240.39093634605305
0.78102.6249443085790.396142719668762
0.79102.7112214336620.392383161930332
0.8102.7970437905090.380350778105439
0.81102.8809764655130.361909364067347
0.82102.9619497321650.339158155342088
0.83103.0393428500280.314413624026965
0.84103.1130074546840.289911519811824
0.85103.1832374593290.267487601694413
0.86103.250705731660.248423170117048
0.87103.3164000532620.233524025644902
0.88103.3815968584760.2230810400675
0.89103.4479011132530.217264906943566
0.9103.5173434951460.216677482095044
0.91103.5924581287140.222475079147342
0.92103.6761790621890.235655981035213
0.93103.7713311702150.25535565772417
0.94103.8795248773280.276940166466219
0.95103.9994961230680.29087893567403
0.96104.1254277048980.284041755842836
0.97104.2463883911330.244777904160992
0.98104.3481692026320.172767813794468
0.99104.4178592266590.0895234583644783


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')