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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, 13 Feb 2014 07:59:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/13/t1392296399qtzdhbiwo7bbot4.htm/, Retrieved Thu, 16 May 2024 09:22:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233574, Retrieved Thu, 16 May 2024 09:22:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

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] [] [2014-02-13 12:59:23] [b3e3d38149b35cb70244b37a39776b3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83.5
83.6
83.9
83.9
84.2
84.4
84.6
84.8
84.8
84.9
85
85.1
85.3
85.5
86.1
86.2
86.3
86.5
86.5
86.6
86.8
87.3
87.7
87.8
88.1
88.8
89.3
89.2
89.3
89.6
89.6
89.9
90.2
90.2
90.4
90.5
91.5
91.5
91.8
92.2
92.4
92.7
93.1
93.1
93.5
93.9
94.3
94.7
95.3
95.9
96.2
96.7
96.7
96.9
97.3
97.4
97.9
98.4
98.4
98.8
98.9
98.9
99.3
99.4
99.7
99.8
99.7
99.9
100.4
101.1
101.3
101.4
101.8
102.2
102.4
102.5
102.8
103
103.2
103.2
103.6
103.7
103.7
103.8
104.2
104.5
104.5
104.8
105.2
105.3
105.5
105.4
105.7
106.8
106.8
107

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233574&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233574&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0183.57942946253290.162466753985537
0.0283.7224081577270.230589223291839
0.0383.88958605721620.27581339171387
0.0484.06163312221690.315986599476325
0.0584.23239664649320.342920500350994
0.0684.39755725337430.349360697084275
0.0784.55327098845610.344344865217146
0.0884.69907564406480.344645685412206
0.0984.83892366318280.364021883846319
0.184.97942958372320.405888111272076
0.1185.12706936884380.46379420981003
0.1285.28598212675830.526213488092235
0.1385.45712968712680.582618465428272
0.1485.63880698557950.626565913939044
0.1585.82802319634750.657893775481252
0.1686.02207828142150.682348094169931
0.1786.21972292771940.708386058941165
0.1886.42154900043360.743979094655895
0.1986.62959313696780.792928411284511
0.286.84641431883320.853732458852621
0.2187.07403774638840.920410408188453
0.2287.31312800492360.984646270130728
0.2387.56261447832251.03842352601556
0.2487.81981732599791.07557302994706
0.2588.08097703447641.09352780396748
0.2688.34200710651551.09259929097592
0.2788.59927031507311.07674316301371
0.2888.85020890699051.05224167027089
0.2989.09371781008981.02639306738458
0.389.33021884471381.00659663682685
0.3189.56145873256540.998414187978482
0.3289.79010382835431.00513045643056
0.3390.01923342547161.02717663296215
0.3490.25183903532161.06230671788094
0.3590.49042144889441.10675703854515
0.3690.73674639143761.15607849532284
0.3790.99178079312741.20655513836477
0.3891.25579299094151.25480522114587
0.3991.52856849422371.29976646796773
0.491.80967356646591.34148387338787
0.4192.0986948462251.38105387404616
0.4292.39539485694051.42019306358162
0.4392.69974781143741.46033305556995
0.4493.01185208162421.50172060839764
0.4593.33174772218351.54383871839061
0.4693.65919189558721.58392512435264
0.4793.99345590809891.61898130529271
0.4894.33320198990981.64534348516582
0.4994.6764772328731.65956509116767
0.595.02083160908151.65937120654635
0.5195.36353498337741.64408299708602
0.5295.70184345677981.61440096271082
0.5396.03325525653961.57260154575318
0.5496.35570351625031.52153099092813
0.5596.66765514226061.46433352702922
0.5696.9681143597761.40392609114363
0.5797.25655697330491.3421632654966
0.5897.53283827280651.28064082371302
0.5997.79711909199921.22006746583153
0.698.04984124522071.16163533016638
0.6198.29176059645211.10657979389817
0.6298.52402104870481.05677611242771
0.6398.7482332991331.01472608665151
0.6498.96651348614530.983236833160209
0.6599.18144086681850.964512037336693
0.6699.39590946457950.960184919576929
0.6799.61287303011260.970119828412537
0.6899.83501077146480.991951424602995
0.69100.0643668764871.02162317414425
0.7100.3020329245721.05357647976696
0.71100.547942810451.08180768369102
0.72100.8008320087431.10074226543823
0.73101.0583795394341.10594112790491
0.74101.3175103004331.09536781279362
0.75101.5747995430391.06860313261645
0.76101.8269015214261.02732243860443
0.77102.0709269519620.974537955084386
0.78102.3047173509090.914583215018677
0.79102.5269996460180.851220462394943
0.8102.7374382018650.788419844232961
0.81102.9366199836350.729646646452392
0.82103.126003558070.677630208680455
0.83103.3078357407510.63512615714572
0.84103.4850053048820.603912846545226
0.85103.660783875940.584821106824462
0.86103.8384181691390.576916906768699
0.87104.0205857389810.57677523384197
0.88104.2087941763070.578937375636865
0.89104.4028882800630.577178069062723
0.9104.6009619847140.565190511983848
0.91104.8001707452390.539397363963483
0.92104.9990489974470.502189955810945
0.93105.2014118552280.467532983219077
0.94105.4199320045970.463512998784484
0.95105.6741572322050.514334253427903
0.96105.9769506738760.591393127608692
0.97106.313098005070.59919709504067
0.98106.6326645414340.459835961880534
0.99106.8761716479380.257872893984253

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 83.5794294625329 & 0.162466753985537 \tabularnewline
0.02 & 83.722408157727 & 0.230589223291839 \tabularnewline
0.03 & 83.8895860572162 & 0.27581339171387 \tabularnewline
0.04 & 84.0616331222169 & 0.315986599476325 \tabularnewline
0.05 & 84.2323966464932 & 0.342920500350994 \tabularnewline
0.06 & 84.3975572533743 & 0.349360697084275 \tabularnewline
0.07 & 84.5532709884561 & 0.344344865217146 \tabularnewline
0.08 & 84.6990756440648 & 0.344645685412206 \tabularnewline
0.09 & 84.8389236631828 & 0.364021883846319 \tabularnewline
0.1 & 84.9794295837232 & 0.405888111272076 \tabularnewline
0.11 & 85.1270693688438 & 0.46379420981003 \tabularnewline
0.12 & 85.2859821267583 & 0.526213488092235 \tabularnewline
0.13 & 85.4571296871268 & 0.582618465428272 \tabularnewline
0.14 & 85.6388069855795 & 0.626565913939044 \tabularnewline
0.15 & 85.8280231963475 & 0.657893775481252 \tabularnewline
0.16 & 86.0220782814215 & 0.682348094169931 \tabularnewline
0.17 & 86.2197229277194 & 0.708386058941165 \tabularnewline
0.18 & 86.4215490004336 & 0.743979094655895 \tabularnewline
0.19 & 86.6295931369678 & 0.792928411284511 \tabularnewline
0.2 & 86.8464143188332 & 0.853732458852621 \tabularnewline
0.21 & 87.0740377463884 & 0.920410408188453 \tabularnewline
0.22 & 87.3131280049236 & 0.984646270130728 \tabularnewline
0.23 & 87.5626144783225 & 1.03842352601556 \tabularnewline
0.24 & 87.8198173259979 & 1.07557302994706 \tabularnewline
0.25 & 88.0809770344764 & 1.09352780396748 \tabularnewline
0.26 & 88.3420071065155 & 1.09259929097592 \tabularnewline
0.27 & 88.5992703150731 & 1.07674316301371 \tabularnewline
0.28 & 88.8502089069905 & 1.05224167027089 \tabularnewline
0.29 & 89.0937178100898 & 1.02639306738458 \tabularnewline
0.3 & 89.3302188447138 & 1.00659663682685 \tabularnewline
0.31 & 89.5614587325654 & 0.998414187978482 \tabularnewline
0.32 & 89.7901038283543 & 1.00513045643056 \tabularnewline
0.33 & 90.0192334254716 & 1.02717663296215 \tabularnewline
0.34 & 90.2518390353216 & 1.06230671788094 \tabularnewline
0.35 & 90.4904214488944 & 1.10675703854515 \tabularnewline
0.36 & 90.7367463914376 & 1.15607849532284 \tabularnewline
0.37 & 90.9917807931274 & 1.20655513836477 \tabularnewline
0.38 & 91.2557929909415 & 1.25480522114587 \tabularnewline
0.39 & 91.5285684942237 & 1.29976646796773 \tabularnewline
0.4 & 91.8096735664659 & 1.34148387338787 \tabularnewline
0.41 & 92.098694846225 & 1.38105387404616 \tabularnewline
0.42 & 92.3953948569405 & 1.42019306358162 \tabularnewline
0.43 & 92.6997478114374 & 1.46033305556995 \tabularnewline
0.44 & 93.0118520816242 & 1.50172060839764 \tabularnewline
0.45 & 93.3317477221835 & 1.54383871839061 \tabularnewline
0.46 & 93.6591918955872 & 1.58392512435264 \tabularnewline
0.47 & 93.9934559080989 & 1.61898130529271 \tabularnewline
0.48 & 94.3332019899098 & 1.64534348516582 \tabularnewline
0.49 & 94.676477232873 & 1.65956509116767 \tabularnewline
0.5 & 95.0208316090815 & 1.65937120654635 \tabularnewline
0.51 & 95.3635349833774 & 1.64408299708602 \tabularnewline
0.52 & 95.7018434567798 & 1.61440096271082 \tabularnewline
0.53 & 96.0332552565396 & 1.57260154575318 \tabularnewline
0.54 & 96.3557035162503 & 1.52153099092813 \tabularnewline
0.55 & 96.6676551422606 & 1.46433352702922 \tabularnewline
0.56 & 96.968114359776 & 1.40392609114363 \tabularnewline
0.57 & 97.2565569733049 & 1.3421632654966 \tabularnewline
0.58 & 97.5328382728065 & 1.28064082371302 \tabularnewline
0.59 & 97.7971190919992 & 1.22006746583153 \tabularnewline
0.6 & 98.0498412452207 & 1.16163533016638 \tabularnewline
0.61 & 98.2917605964521 & 1.10657979389817 \tabularnewline
0.62 & 98.5240210487048 & 1.05677611242771 \tabularnewline
0.63 & 98.748233299133 & 1.01472608665151 \tabularnewline
0.64 & 98.9665134861453 & 0.983236833160209 \tabularnewline
0.65 & 99.1814408668185 & 0.964512037336693 \tabularnewline
0.66 & 99.3959094645795 & 0.960184919576929 \tabularnewline
0.67 & 99.6128730301126 & 0.970119828412537 \tabularnewline
0.68 & 99.8350107714648 & 0.991951424602995 \tabularnewline
0.69 & 100.064366876487 & 1.02162317414425 \tabularnewline
0.7 & 100.302032924572 & 1.05357647976696 \tabularnewline
0.71 & 100.54794281045 & 1.08180768369102 \tabularnewline
0.72 & 100.800832008743 & 1.10074226543823 \tabularnewline
0.73 & 101.058379539434 & 1.10594112790491 \tabularnewline
0.74 & 101.317510300433 & 1.09536781279362 \tabularnewline
0.75 & 101.574799543039 & 1.06860313261645 \tabularnewline
0.76 & 101.826901521426 & 1.02732243860443 \tabularnewline
0.77 & 102.070926951962 & 0.974537955084386 \tabularnewline
0.78 & 102.304717350909 & 0.914583215018677 \tabularnewline
0.79 & 102.526999646018 & 0.851220462394943 \tabularnewline
0.8 & 102.737438201865 & 0.788419844232961 \tabularnewline
0.81 & 102.936619983635 & 0.729646646452392 \tabularnewline
0.82 & 103.12600355807 & 0.677630208680455 \tabularnewline
0.83 & 103.307835740751 & 0.63512615714572 \tabularnewline
0.84 & 103.485005304882 & 0.603912846545226 \tabularnewline
0.85 & 103.66078387594 & 0.584821106824462 \tabularnewline
0.86 & 103.838418169139 & 0.576916906768699 \tabularnewline
0.87 & 104.020585738981 & 0.57677523384197 \tabularnewline
0.88 & 104.208794176307 & 0.578937375636865 \tabularnewline
0.89 & 104.402888280063 & 0.577178069062723 \tabularnewline
0.9 & 104.600961984714 & 0.565190511983848 \tabularnewline
0.91 & 104.800170745239 & 0.539397363963483 \tabularnewline
0.92 & 104.999048997447 & 0.502189955810945 \tabularnewline
0.93 & 105.201411855228 & 0.467532983219077 \tabularnewline
0.94 & 105.419932004597 & 0.463512998784484 \tabularnewline
0.95 & 105.674157232205 & 0.514334253427903 \tabularnewline
0.96 & 105.976950673876 & 0.591393127608692 \tabularnewline
0.97 & 106.31309800507 & 0.59919709504067 \tabularnewline
0.98 & 106.632664541434 & 0.459835961880534 \tabularnewline
0.99 & 106.876171647938 & 0.257872893984253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233574&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]83.5794294625329[/C][C]0.162466753985537[/C][/ROW]
[ROW][C]0.02[/C][C]83.722408157727[/C][C]0.230589223291839[/C][/ROW]
[ROW][C]0.03[/C][C]83.8895860572162[/C][C]0.27581339171387[/C][/ROW]
[ROW][C]0.04[/C][C]84.0616331222169[/C][C]0.315986599476325[/C][/ROW]
[ROW][C]0.05[/C][C]84.2323966464932[/C][C]0.342920500350994[/C][/ROW]
[ROW][C]0.06[/C][C]84.3975572533743[/C][C]0.349360697084275[/C][/ROW]
[ROW][C]0.07[/C][C]84.5532709884561[/C][C]0.344344865217146[/C][/ROW]
[ROW][C]0.08[/C][C]84.6990756440648[/C][C]0.344645685412206[/C][/ROW]
[ROW][C]0.09[/C][C]84.8389236631828[/C][C]0.364021883846319[/C][/ROW]
[ROW][C]0.1[/C][C]84.9794295837232[/C][C]0.405888111272076[/C][/ROW]
[ROW][C]0.11[/C][C]85.1270693688438[/C][C]0.46379420981003[/C][/ROW]
[ROW][C]0.12[/C][C]85.2859821267583[/C][C]0.526213488092235[/C][/ROW]
[ROW][C]0.13[/C][C]85.4571296871268[/C][C]0.582618465428272[/C][/ROW]
[ROW][C]0.14[/C][C]85.6388069855795[/C][C]0.626565913939044[/C][/ROW]
[ROW][C]0.15[/C][C]85.8280231963475[/C][C]0.657893775481252[/C][/ROW]
[ROW][C]0.16[/C][C]86.0220782814215[/C][C]0.682348094169931[/C][/ROW]
[ROW][C]0.17[/C][C]86.2197229277194[/C][C]0.708386058941165[/C][/ROW]
[ROW][C]0.18[/C][C]86.4215490004336[/C][C]0.743979094655895[/C][/ROW]
[ROW][C]0.19[/C][C]86.6295931369678[/C][C]0.792928411284511[/C][/ROW]
[ROW][C]0.2[/C][C]86.8464143188332[/C][C]0.853732458852621[/C][/ROW]
[ROW][C]0.21[/C][C]87.0740377463884[/C][C]0.920410408188453[/C][/ROW]
[ROW][C]0.22[/C][C]87.3131280049236[/C][C]0.984646270130728[/C][/ROW]
[ROW][C]0.23[/C][C]87.5626144783225[/C][C]1.03842352601556[/C][/ROW]
[ROW][C]0.24[/C][C]87.8198173259979[/C][C]1.07557302994706[/C][/ROW]
[ROW][C]0.25[/C][C]88.0809770344764[/C][C]1.09352780396748[/C][/ROW]
[ROW][C]0.26[/C][C]88.3420071065155[/C][C]1.09259929097592[/C][/ROW]
[ROW][C]0.27[/C][C]88.5992703150731[/C][C]1.07674316301371[/C][/ROW]
[ROW][C]0.28[/C][C]88.8502089069905[/C][C]1.05224167027089[/C][/ROW]
[ROW][C]0.29[/C][C]89.0937178100898[/C][C]1.02639306738458[/C][/ROW]
[ROW][C]0.3[/C][C]89.3302188447138[/C][C]1.00659663682685[/C][/ROW]
[ROW][C]0.31[/C][C]89.5614587325654[/C][C]0.998414187978482[/C][/ROW]
[ROW][C]0.32[/C][C]89.7901038283543[/C][C]1.00513045643056[/C][/ROW]
[ROW][C]0.33[/C][C]90.0192334254716[/C][C]1.02717663296215[/C][/ROW]
[ROW][C]0.34[/C][C]90.2518390353216[/C][C]1.06230671788094[/C][/ROW]
[ROW][C]0.35[/C][C]90.4904214488944[/C][C]1.10675703854515[/C][/ROW]
[ROW][C]0.36[/C][C]90.7367463914376[/C][C]1.15607849532284[/C][/ROW]
[ROW][C]0.37[/C][C]90.9917807931274[/C][C]1.20655513836477[/C][/ROW]
[ROW][C]0.38[/C][C]91.2557929909415[/C][C]1.25480522114587[/C][/ROW]
[ROW][C]0.39[/C][C]91.5285684942237[/C][C]1.29976646796773[/C][/ROW]
[ROW][C]0.4[/C][C]91.8096735664659[/C][C]1.34148387338787[/C][/ROW]
[ROW][C]0.41[/C][C]92.098694846225[/C][C]1.38105387404616[/C][/ROW]
[ROW][C]0.42[/C][C]92.3953948569405[/C][C]1.42019306358162[/C][/ROW]
[ROW][C]0.43[/C][C]92.6997478114374[/C][C]1.46033305556995[/C][/ROW]
[ROW][C]0.44[/C][C]93.0118520816242[/C][C]1.50172060839764[/C][/ROW]
[ROW][C]0.45[/C][C]93.3317477221835[/C][C]1.54383871839061[/C][/ROW]
[ROW][C]0.46[/C][C]93.6591918955872[/C][C]1.58392512435264[/C][/ROW]
[ROW][C]0.47[/C][C]93.9934559080989[/C][C]1.61898130529271[/C][/ROW]
[ROW][C]0.48[/C][C]94.3332019899098[/C][C]1.64534348516582[/C][/ROW]
[ROW][C]0.49[/C][C]94.676477232873[/C][C]1.65956509116767[/C][/ROW]
[ROW][C]0.5[/C][C]95.0208316090815[/C][C]1.65937120654635[/C][/ROW]
[ROW][C]0.51[/C][C]95.3635349833774[/C][C]1.64408299708602[/C][/ROW]
[ROW][C]0.52[/C][C]95.7018434567798[/C][C]1.61440096271082[/C][/ROW]
[ROW][C]0.53[/C][C]96.0332552565396[/C][C]1.57260154575318[/C][/ROW]
[ROW][C]0.54[/C][C]96.3557035162503[/C][C]1.52153099092813[/C][/ROW]
[ROW][C]0.55[/C][C]96.6676551422606[/C][C]1.46433352702922[/C][/ROW]
[ROW][C]0.56[/C][C]96.968114359776[/C][C]1.40392609114363[/C][/ROW]
[ROW][C]0.57[/C][C]97.2565569733049[/C][C]1.3421632654966[/C][/ROW]
[ROW][C]0.58[/C][C]97.5328382728065[/C][C]1.28064082371302[/C][/ROW]
[ROW][C]0.59[/C][C]97.7971190919992[/C][C]1.22006746583153[/C][/ROW]
[ROW][C]0.6[/C][C]98.0498412452207[/C][C]1.16163533016638[/C][/ROW]
[ROW][C]0.61[/C][C]98.2917605964521[/C][C]1.10657979389817[/C][/ROW]
[ROW][C]0.62[/C][C]98.5240210487048[/C][C]1.05677611242771[/C][/ROW]
[ROW][C]0.63[/C][C]98.748233299133[/C][C]1.01472608665151[/C][/ROW]
[ROW][C]0.64[/C][C]98.9665134861453[/C][C]0.983236833160209[/C][/ROW]
[ROW][C]0.65[/C][C]99.1814408668185[/C][C]0.964512037336693[/C][/ROW]
[ROW][C]0.66[/C][C]99.3959094645795[/C][C]0.960184919576929[/C][/ROW]
[ROW][C]0.67[/C][C]99.6128730301126[/C][C]0.970119828412537[/C][/ROW]
[ROW][C]0.68[/C][C]99.8350107714648[/C][C]0.991951424602995[/C][/ROW]
[ROW][C]0.69[/C][C]100.064366876487[/C][C]1.02162317414425[/C][/ROW]
[ROW][C]0.7[/C][C]100.302032924572[/C][C]1.05357647976696[/C][/ROW]
[ROW][C]0.71[/C][C]100.54794281045[/C][C]1.08180768369102[/C][/ROW]
[ROW][C]0.72[/C][C]100.800832008743[/C][C]1.10074226543823[/C][/ROW]
[ROW][C]0.73[/C][C]101.058379539434[/C][C]1.10594112790491[/C][/ROW]
[ROW][C]0.74[/C][C]101.317510300433[/C][C]1.09536781279362[/C][/ROW]
[ROW][C]0.75[/C][C]101.574799543039[/C][C]1.06860313261645[/C][/ROW]
[ROW][C]0.76[/C][C]101.826901521426[/C][C]1.02732243860443[/C][/ROW]
[ROW][C]0.77[/C][C]102.070926951962[/C][C]0.974537955084386[/C][/ROW]
[ROW][C]0.78[/C][C]102.304717350909[/C][C]0.914583215018677[/C][/ROW]
[ROW][C]0.79[/C][C]102.526999646018[/C][C]0.851220462394943[/C][/ROW]
[ROW][C]0.8[/C][C]102.737438201865[/C][C]0.788419844232961[/C][/ROW]
[ROW][C]0.81[/C][C]102.936619983635[/C][C]0.729646646452392[/C][/ROW]
[ROW][C]0.82[/C][C]103.12600355807[/C][C]0.677630208680455[/C][/ROW]
[ROW][C]0.83[/C][C]103.307835740751[/C][C]0.63512615714572[/C][/ROW]
[ROW][C]0.84[/C][C]103.485005304882[/C][C]0.603912846545226[/C][/ROW]
[ROW][C]0.85[/C][C]103.66078387594[/C][C]0.584821106824462[/C][/ROW]
[ROW][C]0.86[/C][C]103.838418169139[/C][C]0.576916906768699[/C][/ROW]
[ROW][C]0.87[/C][C]104.020585738981[/C][C]0.57677523384197[/C][/ROW]
[ROW][C]0.88[/C][C]104.208794176307[/C][C]0.578937375636865[/C][/ROW]
[ROW][C]0.89[/C][C]104.402888280063[/C][C]0.577178069062723[/C][/ROW]
[ROW][C]0.9[/C][C]104.600961984714[/C][C]0.565190511983848[/C][/ROW]
[ROW][C]0.91[/C][C]104.800170745239[/C][C]0.539397363963483[/C][/ROW]
[ROW][C]0.92[/C][C]104.999048997447[/C][C]0.502189955810945[/C][/ROW]
[ROW][C]0.93[/C][C]105.201411855228[/C][C]0.467532983219077[/C][/ROW]
[ROW][C]0.94[/C][C]105.419932004597[/C][C]0.463512998784484[/C][/ROW]
[ROW][C]0.95[/C][C]105.674157232205[/C][C]0.514334253427903[/C][/ROW]
[ROW][C]0.96[/C][C]105.976950673876[/C][C]0.591393127608692[/C][/ROW]
[ROW][C]0.97[/C][C]106.31309800507[/C][C]0.59919709504067[/C][/ROW]
[ROW][C]0.98[/C][C]106.632664541434[/C][C]0.459835961880534[/C][/ROW]
[ROW][C]0.99[/C][C]106.876171647938[/C][C]0.257872893984253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233574&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233574&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
0.0183.57942946253290.162466753985537
0.0283.7224081577270.230589223291839
0.0383.88958605721620.27581339171387
0.0484.06163312221690.315986599476325
0.0584.23239664649320.342920500350994
0.0684.39755725337430.349360697084275
0.0784.55327098845610.344344865217146
0.0884.69907564406480.344645685412206
0.0984.83892366318280.364021883846319
0.184.97942958372320.405888111272076
0.1185.12706936884380.46379420981003
0.1285.28598212675830.526213488092235
0.1385.45712968712680.582618465428272
0.1485.63880698557950.626565913939044
0.1585.82802319634750.657893775481252
0.1686.02207828142150.682348094169931
0.1786.21972292771940.708386058941165
0.1886.42154900043360.743979094655895
0.1986.62959313696780.792928411284511
0.286.84641431883320.853732458852621
0.2187.07403774638840.920410408188453
0.2287.31312800492360.984646270130728
0.2387.56261447832251.03842352601556
0.2487.81981732599791.07557302994706
0.2588.08097703447641.09352780396748
0.2688.34200710651551.09259929097592
0.2788.59927031507311.07674316301371
0.2888.85020890699051.05224167027089
0.2989.09371781008981.02639306738458
0.389.33021884471381.00659663682685
0.3189.56145873256540.998414187978482
0.3289.79010382835431.00513045643056
0.3390.01923342547161.02717663296215
0.3490.25183903532161.06230671788094
0.3590.49042144889441.10675703854515
0.3690.73674639143761.15607849532284
0.3790.99178079312741.20655513836477
0.3891.25579299094151.25480522114587
0.3991.52856849422371.29976646796773
0.491.80967356646591.34148387338787
0.4192.0986948462251.38105387404616
0.4292.39539485694051.42019306358162
0.4392.69974781143741.46033305556995
0.4493.01185208162421.50172060839764
0.4593.33174772218351.54383871839061
0.4693.65919189558721.58392512435264
0.4793.99345590809891.61898130529271
0.4894.33320198990981.64534348516582
0.4994.6764772328731.65956509116767
0.595.02083160908151.65937120654635
0.5195.36353498337741.64408299708602
0.5295.70184345677981.61440096271082
0.5396.03325525653961.57260154575318
0.5496.35570351625031.52153099092813
0.5596.66765514226061.46433352702922
0.5696.9681143597761.40392609114363
0.5797.25655697330491.3421632654966
0.5897.53283827280651.28064082371302
0.5997.79711909199921.22006746583153
0.698.04984124522071.16163533016638
0.6198.29176059645211.10657979389817
0.6298.52402104870481.05677611242771
0.6398.7482332991331.01472608665151
0.6498.96651348614530.983236833160209
0.6599.18144086681850.964512037336693
0.6699.39590946457950.960184919576929
0.6799.61287303011260.970119828412537
0.6899.83501077146480.991951424602995
0.69100.0643668764871.02162317414425
0.7100.3020329245721.05357647976696
0.71100.547942810451.08180768369102
0.72100.8008320087431.10074226543823
0.73101.0583795394341.10594112790491
0.74101.3175103004331.09536781279362
0.75101.5747995430391.06860313261645
0.76101.8269015214261.02732243860443
0.77102.0709269519620.974537955084386
0.78102.3047173509090.914583215018677
0.79102.5269996460180.851220462394943
0.8102.7374382018650.788419844232961
0.81102.9366199836350.729646646452392
0.82103.126003558070.677630208680455
0.83103.3078357407510.63512615714572
0.84103.4850053048820.603912846545226
0.85103.660783875940.584821106824462
0.86103.8384181691390.576916906768699
0.87104.0205857389810.57677523384197
0.88104.2087941763070.578937375636865
0.89104.4028882800630.577178069062723
0.9104.6009619847140.565190511983848
0.91104.8001707452390.539397363963483
0.92104.9990489974470.502189955810945
0.93105.2014118552280.467532983219077
0.94105.4199320045970.463512998784484
0.95105.6741572322050.514334253427903
0.96105.9769506738760.591393127608692
0.97106.313098005070.59919709504067
0.98106.6326645414340.459835961880534
0.99106.8761716479380.257872893984253


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')