FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 04 Oct 2016 08:46:03 +0100
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/Oct/04/t14755671938t60imauuq7sf3r.htm/, Retrieved Tue, 21 May 2024 11:02:45 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 11:02:45 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70	
65	
62	
58	
55	
67	
64	
60	
71	
71	
73	
69	
81	
84	
84	
80	
76	
87	
83	
78	
87	
85	
81	
78	
87	
89	
88	
84	
82	
91	
93	
90	
100	
98	
95	
89	
99	
100	
99	
94	
86	
90	
86	
82	
86	
84	
82	
80	
86	
80	
79	
78	
73	
80	
79	
74	
82	
81	
76	
69

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0155.76378647837942.77403053127723
0.0256.94560383712422.63579999301159
0.0358.26779832431962.6309429660728
0.0459.56329883681792.71275054905839
0.0560.77674844202152.80914714748182
0.0661.90673132635542.88338110955773
0.0762.96450623370442.92511742794092
0.0863.95863295496952.9333523919806
0.0964.89312683545432.90859730353347
0.165.76938081336932.8523219896746
0.1166.58815284666662.76929270338197
0.1267.35096341325512.66932970393995
0.1368.06095785609742.56648674667383
0.1468.72325436375342.47587061326031
0.1569.34477088975292.40984115158916
0.1669.93361106161682.37541653879078
0.1770.49819221218522.37321220152141
0.1871.04633849811952.39827064573936
0.1971.58452683273512.44214289846915
0.272.11739493698652.494928308772
0.2172.64753912245192.54666846314226
0.2273.17557031276992.58852736167979
0.2373.70036709193882.61317190086728
0.2474.21945790441812.61540163613445
0.2574.72947026087292.59229748139715
0.2675.22659436854182.54314671309206
0.2775.70701794726332.46938938631223
0.2876.1672977764692.37439817946926
0.2976.60464300478522.26277728283907
0.377.01709635487222.13987567514972
0.3177.40361167534432.01142691888831
0.3277.76403820836191.88261532307986
0.3378.09903136239691.75783747058388
0.3478.40991504103831.64073327559046
0.3578.69852108016651.53361115185349
0.3678.96702770904381.43827624561406
0.3779.21781272185491.35542697618468
0.3879.4533301226391.28540373365896
0.3979.67601303391091.22795289138051
0.479.88820160703991.18263690483202
0.4180.09209270183641.1486320516826
0.4280.28970771996421.12509907147846
0.4380.48287536971521.11086221841373
0.4480.67322655198011.10461190685545
0.4580.86219856380521.1053484506236
0.4681.051045419891.11207584906007
0.4781.24085063617771.12393209440703
0.4881.43253876889181.14015112677045
0.4981.62688269855051.1600100293259
0.581.82450512958371.18287849814125
0.5182.02587473096981.20768832534782
0.5282.2312992143631.23340447848265
0.5382.44091884070921.25894782441719
0.5482.65470397371641.2830794961651
0.5582.87245934139961.304656965563
0.5683.09383601436441.32274487934035
0.5783.31835042913361.33677669336924
0.5883.54540877197141.34611273240942
0.5983.77433513151571.35065421989939
0.684.00440299998841.35021544172997
0.6184.23487141908991.34488997006972
0.6284.46502844663161.33462291799175
0.6384.6942447516751.31996524725017
0.6484.92203845525641.30150001491234
0.6585.14814886866321.28043305477396
0.6685.37261230156431.25846843914976
0.6785.59582893941551.23795700691507
0.6885.81860745454251.22160739266525
0.6986.0421748110491.21217790614746
0.786.26814329086811.21217873521607
0.7186.4984348217281.22322039198176
0.7286.73517293889821.24609558600002
0.7386.98056299404511.28017181511566
0.7487.23678880443561.32389505221097
0.7587.50595601582861.3752843060081
0.7687.79010685177721.43242190712304
0.7788.09131690299311.49410613675326
0.7888.41186367476341.56055931812565
0.7988.75443290781471.6333760945737
0.889.12230853776281.71565771352538
0.8189.51948227777151.81094445655853
0.8289.95062334463451.92206736996515
0.8390.42086625045532.04996162502066
0.8490.93539644424452.1925097757616
0.8591.49882800550282.34444340718645
0.8692.11436826337232.49742871111369
0.8792.78276258673592.64037054065961
0.8893.50104442737412.75897405028942
0.8994.2612288466492.83527921750761
0.995.04930094938142.84777264104261
0.9195.84509118454282.77418563342897
0.9296.62369208048382.59816880079252
0.9397.35867594836642.3189656284814
0.9498.02639520163351.95914428099113
0.9598.6094713309811.56363581809603
0.9699.09728338475361.18284982053634
0.9799.48308354165060.842097172975789
0.9899.76110138419520.526378069021215
0.9999.9293834890410.225175785916787

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 55.7637864783794 & 2.77403053127723 \tabularnewline
0.02 & 56.9456038371242 & 2.63579999301159 \tabularnewline
0.03 & 58.2677983243196 & 2.6309429660728 \tabularnewline
0.04 & 59.5632988368179 & 2.71275054905839 \tabularnewline
0.05 & 60.7767484420215 & 2.80914714748182 \tabularnewline
0.06 & 61.9067313263554 & 2.88338110955773 \tabularnewline
0.07 & 62.9645062337044 & 2.92511742794092 \tabularnewline
0.08 & 63.9586329549695 & 2.9333523919806 \tabularnewline
0.09 & 64.8931268354543 & 2.90859730353347 \tabularnewline
0.1 & 65.7693808133693 & 2.8523219896746 \tabularnewline
0.11 & 66.5881528466666 & 2.76929270338197 \tabularnewline
0.12 & 67.3509634132551 & 2.66932970393995 \tabularnewline
0.13 & 68.0609578560974 & 2.56648674667383 \tabularnewline
0.14 & 68.7232543637534 & 2.47587061326031 \tabularnewline
0.15 & 69.3447708897529 & 2.40984115158916 \tabularnewline
0.16 & 69.9336110616168 & 2.37541653879078 \tabularnewline
0.17 & 70.4981922121852 & 2.37321220152141 \tabularnewline
0.18 & 71.0463384981195 & 2.39827064573936 \tabularnewline
0.19 & 71.5845268327351 & 2.44214289846915 \tabularnewline
0.2 & 72.1173949369865 & 2.494928308772 \tabularnewline
0.21 & 72.6475391224519 & 2.54666846314226 \tabularnewline
0.22 & 73.1755703127699 & 2.58852736167979 \tabularnewline
0.23 & 73.7003670919388 & 2.61317190086728 \tabularnewline
0.24 & 74.2194579044181 & 2.61540163613445 \tabularnewline
0.25 & 74.7294702608729 & 2.59229748139715 \tabularnewline
0.26 & 75.2265943685418 & 2.54314671309206 \tabularnewline
0.27 & 75.7070179472633 & 2.46938938631223 \tabularnewline
0.28 & 76.167297776469 & 2.37439817946926 \tabularnewline
0.29 & 76.6046430047852 & 2.26277728283907 \tabularnewline
0.3 & 77.0170963548722 & 2.13987567514972 \tabularnewline
0.31 & 77.4036116753443 & 2.01142691888831 \tabularnewline
0.32 & 77.7640382083619 & 1.88261532307986 \tabularnewline
0.33 & 78.0990313623969 & 1.75783747058388 \tabularnewline
0.34 & 78.4099150410383 & 1.64073327559046 \tabularnewline
0.35 & 78.6985210801665 & 1.53361115185349 \tabularnewline
0.36 & 78.9670277090438 & 1.43827624561406 \tabularnewline
0.37 & 79.2178127218549 & 1.35542697618468 \tabularnewline
0.38 & 79.453330122639 & 1.28540373365896 \tabularnewline
0.39 & 79.6760130339109 & 1.22795289138051 \tabularnewline
0.4 & 79.8882016070399 & 1.18263690483202 \tabularnewline
0.41 & 80.0920927018364 & 1.1486320516826 \tabularnewline
0.42 & 80.2897077199642 & 1.12509907147846 \tabularnewline
0.43 & 80.4828753697152 & 1.11086221841373 \tabularnewline
0.44 & 80.6732265519801 & 1.10461190685545 \tabularnewline
0.45 & 80.8621985638052 & 1.1053484506236 \tabularnewline
0.46 & 81.05104541989 & 1.11207584906007 \tabularnewline
0.47 & 81.2408506361777 & 1.12393209440703 \tabularnewline
0.48 & 81.4325387688918 & 1.14015112677045 \tabularnewline
0.49 & 81.6268826985505 & 1.1600100293259 \tabularnewline
0.5 & 81.8245051295837 & 1.18287849814125 \tabularnewline
0.51 & 82.0258747309698 & 1.20768832534782 \tabularnewline
0.52 & 82.231299214363 & 1.23340447848265 \tabularnewline
0.53 & 82.4409188407092 & 1.25894782441719 \tabularnewline
0.54 & 82.6547039737164 & 1.2830794961651 \tabularnewline
0.55 & 82.8724593413996 & 1.304656965563 \tabularnewline
0.56 & 83.0938360143644 & 1.32274487934035 \tabularnewline
0.57 & 83.3183504291336 & 1.33677669336924 \tabularnewline
0.58 & 83.5454087719714 & 1.34611273240942 \tabularnewline
0.59 & 83.7743351315157 & 1.35065421989939 \tabularnewline
0.6 & 84.0044029999884 & 1.35021544172997 \tabularnewline
0.61 & 84.2348714190899 & 1.34488997006972 \tabularnewline
0.62 & 84.4650284466316 & 1.33462291799175 \tabularnewline
0.63 & 84.694244751675 & 1.31996524725017 \tabularnewline
0.64 & 84.9220384552564 & 1.30150001491234 \tabularnewline
0.65 & 85.1481488686632 & 1.28043305477396 \tabularnewline
0.66 & 85.3726123015643 & 1.25846843914976 \tabularnewline
0.67 & 85.5958289394155 & 1.23795700691507 \tabularnewline
0.68 & 85.8186074545425 & 1.22160739266525 \tabularnewline
0.69 & 86.042174811049 & 1.21217790614746 \tabularnewline
0.7 & 86.2681432908681 & 1.21217873521607 \tabularnewline
0.71 & 86.498434821728 & 1.22322039198176 \tabularnewline
0.72 & 86.7351729388982 & 1.24609558600002 \tabularnewline
0.73 & 86.9805629940451 & 1.28017181511566 \tabularnewline
0.74 & 87.2367888044356 & 1.32389505221097 \tabularnewline
0.75 & 87.5059560158286 & 1.3752843060081 \tabularnewline
0.76 & 87.7901068517772 & 1.43242190712304 \tabularnewline
0.77 & 88.0913169029931 & 1.49410613675326 \tabularnewline
0.78 & 88.4118636747634 & 1.56055931812565 \tabularnewline
0.79 & 88.7544329078147 & 1.6333760945737 \tabularnewline
0.8 & 89.1223085377628 & 1.71565771352538 \tabularnewline
0.81 & 89.5194822777715 & 1.81094445655853 \tabularnewline
0.82 & 89.9506233446345 & 1.92206736996515 \tabularnewline
0.83 & 90.4208662504553 & 2.04996162502066 \tabularnewline
0.84 & 90.9353964442445 & 2.1925097757616 \tabularnewline
0.85 & 91.4988280055028 & 2.34444340718645 \tabularnewline
0.86 & 92.1143682633723 & 2.49742871111369 \tabularnewline
0.87 & 92.7827625867359 & 2.64037054065961 \tabularnewline
0.88 & 93.5010444273741 & 2.75897405028942 \tabularnewline
0.89 & 94.261228846649 & 2.83527921750761 \tabularnewline
0.9 & 95.0493009493814 & 2.84777264104261 \tabularnewline
0.91 & 95.8450911845428 & 2.77418563342897 \tabularnewline
0.92 & 96.6236920804838 & 2.59816880079252 \tabularnewline
0.93 & 97.3586759483664 & 2.3189656284814 \tabularnewline
0.94 & 98.0263952016335 & 1.95914428099113 \tabularnewline
0.95 & 98.609471330981 & 1.56363581809603 \tabularnewline
0.96 & 99.0972833847536 & 1.18284982053634 \tabularnewline
0.97 & 99.4830835416506 & 0.842097172975789 \tabularnewline
0.98 & 99.7611013841952 & 0.526378069021215 \tabularnewline
0.99 & 99.929383489041 & 0.225175785916787 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]55.7637864783794[/C][C]2.77403053127723[/C][/ROW]
[ROW][C]0.02[/C][C]56.9456038371242[/C][C]2.63579999301159[/C][/ROW]
[ROW][C]0.03[/C][C]58.2677983243196[/C][C]2.6309429660728[/C][/ROW]
[ROW][C]0.04[/C][C]59.5632988368179[/C][C]2.71275054905839[/C][/ROW]
[ROW][C]0.05[/C][C]60.7767484420215[/C][C]2.80914714748182[/C][/ROW]
[ROW][C]0.06[/C][C]61.9067313263554[/C][C]2.88338110955773[/C][/ROW]
[ROW][C]0.07[/C][C]62.9645062337044[/C][C]2.92511742794092[/C][/ROW]
[ROW][C]0.08[/C][C]63.9586329549695[/C][C]2.9333523919806[/C][/ROW]
[ROW][C]0.09[/C][C]64.8931268354543[/C][C]2.90859730353347[/C][/ROW]
[ROW][C]0.1[/C][C]65.7693808133693[/C][C]2.8523219896746[/C][/ROW]
[ROW][C]0.11[/C][C]66.5881528466666[/C][C]2.76929270338197[/C][/ROW]
[ROW][C]0.12[/C][C]67.3509634132551[/C][C]2.66932970393995[/C][/ROW]
[ROW][C]0.13[/C][C]68.0609578560974[/C][C]2.56648674667383[/C][/ROW]
[ROW][C]0.14[/C][C]68.7232543637534[/C][C]2.47587061326031[/C][/ROW]
[ROW][C]0.15[/C][C]69.3447708897529[/C][C]2.40984115158916[/C][/ROW]
[ROW][C]0.16[/C][C]69.9336110616168[/C][C]2.37541653879078[/C][/ROW]
[ROW][C]0.17[/C][C]70.4981922121852[/C][C]2.37321220152141[/C][/ROW]
[ROW][C]0.18[/C][C]71.0463384981195[/C][C]2.39827064573936[/C][/ROW]
[ROW][C]0.19[/C][C]71.5845268327351[/C][C]2.44214289846915[/C][/ROW]
[ROW][C]0.2[/C][C]72.1173949369865[/C][C]2.494928308772[/C][/ROW]
[ROW][C]0.21[/C][C]72.6475391224519[/C][C]2.54666846314226[/C][/ROW]
[ROW][C]0.22[/C][C]73.1755703127699[/C][C]2.58852736167979[/C][/ROW]
[ROW][C]0.23[/C][C]73.7003670919388[/C][C]2.61317190086728[/C][/ROW]
[ROW][C]0.24[/C][C]74.2194579044181[/C][C]2.61540163613445[/C][/ROW]
[ROW][C]0.25[/C][C]74.7294702608729[/C][C]2.59229748139715[/C][/ROW]
[ROW][C]0.26[/C][C]75.2265943685418[/C][C]2.54314671309206[/C][/ROW]
[ROW][C]0.27[/C][C]75.7070179472633[/C][C]2.46938938631223[/C][/ROW]
[ROW][C]0.28[/C][C]76.167297776469[/C][C]2.37439817946926[/C][/ROW]
[ROW][C]0.29[/C][C]76.6046430047852[/C][C]2.26277728283907[/C][/ROW]
[ROW][C]0.3[/C][C]77.0170963548722[/C][C]2.13987567514972[/C][/ROW]
[ROW][C]0.31[/C][C]77.4036116753443[/C][C]2.01142691888831[/C][/ROW]
[ROW][C]0.32[/C][C]77.7640382083619[/C][C]1.88261532307986[/C][/ROW]
[ROW][C]0.33[/C][C]78.0990313623969[/C][C]1.75783747058388[/C][/ROW]
[ROW][C]0.34[/C][C]78.4099150410383[/C][C]1.64073327559046[/C][/ROW]
[ROW][C]0.35[/C][C]78.6985210801665[/C][C]1.53361115185349[/C][/ROW]
[ROW][C]0.36[/C][C]78.9670277090438[/C][C]1.43827624561406[/C][/ROW]
[ROW][C]0.37[/C][C]79.2178127218549[/C][C]1.35542697618468[/C][/ROW]
[ROW][C]0.38[/C][C]79.453330122639[/C][C]1.28540373365896[/C][/ROW]
[ROW][C]0.39[/C][C]79.6760130339109[/C][C]1.22795289138051[/C][/ROW]
[ROW][C]0.4[/C][C]79.8882016070399[/C][C]1.18263690483202[/C][/ROW]
[ROW][C]0.41[/C][C]80.0920927018364[/C][C]1.1486320516826[/C][/ROW]
[ROW][C]0.42[/C][C]80.2897077199642[/C][C]1.12509907147846[/C][/ROW]
[ROW][C]0.43[/C][C]80.4828753697152[/C][C]1.11086221841373[/C][/ROW]
[ROW][C]0.44[/C][C]80.6732265519801[/C][C]1.10461190685545[/C][/ROW]
[ROW][C]0.45[/C][C]80.8621985638052[/C][C]1.1053484506236[/C][/ROW]
[ROW][C]0.46[/C][C]81.05104541989[/C][C]1.11207584906007[/C][/ROW]
[ROW][C]0.47[/C][C]81.2408506361777[/C][C]1.12393209440703[/C][/ROW]
[ROW][C]0.48[/C][C]81.4325387688918[/C][C]1.14015112677045[/C][/ROW]
[ROW][C]0.49[/C][C]81.6268826985505[/C][C]1.1600100293259[/C][/ROW]
[ROW][C]0.5[/C][C]81.8245051295837[/C][C]1.18287849814125[/C][/ROW]
[ROW][C]0.51[/C][C]82.0258747309698[/C][C]1.20768832534782[/C][/ROW]
[ROW][C]0.52[/C][C]82.231299214363[/C][C]1.23340447848265[/C][/ROW]
[ROW][C]0.53[/C][C]82.4409188407092[/C][C]1.25894782441719[/C][/ROW]
[ROW][C]0.54[/C][C]82.6547039737164[/C][C]1.2830794961651[/C][/ROW]
[ROW][C]0.55[/C][C]82.8724593413996[/C][C]1.304656965563[/C][/ROW]
[ROW][C]0.56[/C][C]83.0938360143644[/C][C]1.32274487934035[/C][/ROW]
[ROW][C]0.57[/C][C]83.3183504291336[/C][C]1.33677669336924[/C][/ROW]
[ROW][C]0.58[/C][C]83.5454087719714[/C][C]1.34611273240942[/C][/ROW]
[ROW][C]0.59[/C][C]83.7743351315157[/C][C]1.35065421989939[/C][/ROW]
[ROW][C]0.6[/C][C]84.0044029999884[/C][C]1.35021544172997[/C][/ROW]
[ROW][C]0.61[/C][C]84.2348714190899[/C][C]1.34488997006972[/C][/ROW]
[ROW][C]0.62[/C][C]84.4650284466316[/C][C]1.33462291799175[/C][/ROW]
[ROW][C]0.63[/C][C]84.694244751675[/C][C]1.31996524725017[/C][/ROW]
[ROW][C]0.64[/C][C]84.9220384552564[/C][C]1.30150001491234[/C][/ROW]
[ROW][C]0.65[/C][C]85.1481488686632[/C][C]1.28043305477396[/C][/ROW]
[ROW][C]0.66[/C][C]85.3726123015643[/C][C]1.25846843914976[/C][/ROW]
[ROW][C]0.67[/C][C]85.5958289394155[/C][C]1.23795700691507[/C][/ROW]
[ROW][C]0.68[/C][C]85.8186074545425[/C][C]1.22160739266525[/C][/ROW]
[ROW][C]0.69[/C][C]86.042174811049[/C][C]1.21217790614746[/C][/ROW]
[ROW][C]0.7[/C][C]86.2681432908681[/C][C]1.21217873521607[/C][/ROW]
[ROW][C]0.71[/C][C]86.498434821728[/C][C]1.22322039198176[/C][/ROW]
[ROW][C]0.72[/C][C]86.7351729388982[/C][C]1.24609558600002[/C][/ROW]
[ROW][C]0.73[/C][C]86.9805629940451[/C][C]1.28017181511566[/C][/ROW]
[ROW][C]0.74[/C][C]87.2367888044356[/C][C]1.32389505221097[/C][/ROW]
[ROW][C]0.75[/C][C]87.5059560158286[/C][C]1.3752843060081[/C][/ROW]
[ROW][C]0.76[/C][C]87.7901068517772[/C][C]1.43242190712304[/C][/ROW]
[ROW][C]0.77[/C][C]88.0913169029931[/C][C]1.49410613675326[/C][/ROW]
[ROW][C]0.78[/C][C]88.4118636747634[/C][C]1.56055931812565[/C][/ROW]
[ROW][C]0.79[/C][C]88.7544329078147[/C][C]1.6333760945737[/C][/ROW]
[ROW][C]0.8[/C][C]89.1223085377628[/C][C]1.71565771352538[/C][/ROW]
[ROW][C]0.81[/C][C]89.5194822777715[/C][C]1.81094445655853[/C][/ROW]
[ROW][C]0.82[/C][C]89.9506233446345[/C][C]1.92206736996515[/C][/ROW]
[ROW][C]0.83[/C][C]90.4208662504553[/C][C]2.04996162502066[/C][/ROW]
[ROW][C]0.84[/C][C]90.9353964442445[/C][C]2.1925097757616[/C][/ROW]
[ROW][C]0.85[/C][C]91.4988280055028[/C][C]2.34444340718645[/C][/ROW]
[ROW][C]0.86[/C][C]92.1143682633723[/C][C]2.49742871111369[/C][/ROW]
[ROW][C]0.87[/C][C]92.7827625867359[/C][C]2.64037054065961[/C][/ROW]
[ROW][C]0.88[/C][C]93.5010444273741[/C][C]2.75897405028942[/C][/ROW]
[ROW][C]0.89[/C][C]94.261228846649[/C][C]2.83527921750761[/C][/ROW]
[ROW][C]0.9[/C][C]95.0493009493814[/C][C]2.84777264104261[/C][/ROW]
[ROW][C]0.91[/C][C]95.8450911845428[/C][C]2.77418563342897[/C][/ROW]
[ROW][C]0.92[/C][C]96.6236920804838[/C][C]2.59816880079252[/C][/ROW]
[ROW][C]0.93[/C][C]97.3586759483664[/C][C]2.3189656284814[/C][/ROW]
[ROW][C]0.94[/C][C]98.0263952016335[/C][C]1.95914428099113[/C][/ROW]
[ROW][C]0.95[/C][C]98.609471330981[/C][C]1.56363581809603[/C][/ROW]
[ROW][C]0.96[/C][C]99.0972833847536[/C][C]1.18284982053634[/C][/ROW]
[ROW][C]0.97[/C][C]99.4830835416506[/C][C]0.842097172975789[/C][/ROW]
[ROW][C]0.98[/C][C]99.7611013841952[/C][C]0.526378069021215[/C][/ROW]
[ROW][C]0.99[/C][C]99.929383489041[/C][C]0.225175785916787[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0155.76378647837942.77403053127723
0.0256.94560383712422.63579999301159
0.0358.26779832431962.6309429660728
0.0459.56329883681792.71275054905839
0.0560.77674844202152.80914714748182
0.0661.90673132635542.88338110955773
0.0762.96450623370442.92511742794092
0.0863.95863295496952.9333523919806
0.0964.89312683545432.90859730353347
0.165.76938081336932.8523219896746
0.1166.58815284666662.76929270338197
0.1267.35096341325512.66932970393995
0.1368.06095785609742.56648674667383
0.1468.72325436375342.47587061326031
0.1569.34477088975292.40984115158916
0.1669.93361106161682.37541653879078
0.1770.49819221218522.37321220152141
0.1871.04633849811952.39827064573936
0.1971.58452683273512.44214289846915
0.272.11739493698652.494928308772
0.2172.64753912245192.54666846314226
0.2273.17557031276992.58852736167979
0.2373.70036709193882.61317190086728
0.2474.21945790441812.61540163613445
0.2574.72947026087292.59229748139715
0.2675.22659436854182.54314671309206
0.2775.70701794726332.46938938631223
0.2876.1672977764692.37439817946926
0.2976.60464300478522.26277728283907
0.377.01709635487222.13987567514972
0.3177.40361167534432.01142691888831
0.3277.76403820836191.88261532307986
0.3378.09903136239691.75783747058388
0.3478.40991504103831.64073327559046
0.3578.69852108016651.53361115185349
0.3678.96702770904381.43827624561406
0.3779.21781272185491.35542697618468
0.3879.4533301226391.28540373365896
0.3979.67601303391091.22795289138051
0.479.88820160703991.18263690483202
0.4180.09209270183641.1486320516826
0.4280.28970771996421.12509907147846
0.4380.48287536971521.11086221841373
0.4480.67322655198011.10461190685545
0.4580.86219856380521.1053484506236
0.4681.051045419891.11207584906007
0.4781.24085063617771.12393209440703
0.4881.43253876889181.14015112677045
0.4981.62688269855051.1600100293259
0.581.82450512958371.18287849814125
0.5182.02587473096981.20768832534782
0.5282.2312992143631.23340447848265
0.5382.44091884070921.25894782441719
0.5482.65470397371641.2830794961651
0.5582.87245934139961.304656965563
0.5683.09383601436441.32274487934035
0.5783.31835042913361.33677669336924
0.5883.54540877197141.34611273240942
0.5983.77433513151571.35065421989939
0.684.00440299998841.35021544172997
0.6184.23487141908991.34488997006972
0.6284.46502844663161.33462291799175
0.6384.6942447516751.31996524725017
0.6484.92203845525641.30150001491234
0.6585.14814886866321.28043305477396
0.6685.37261230156431.25846843914976
0.6785.59582893941551.23795700691507
0.6885.81860745454251.22160739266525
0.6986.0421748110491.21217790614746
0.786.26814329086811.21217873521607
0.7186.4984348217281.22322039198176
0.7286.73517293889821.24609558600002
0.7386.98056299404511.28017181511566
0.7487.23678880443561.32389505221097
0.7587.50595601582861.3752843060081
0.7687.79010685177721.43242190712304
0.7788.09131690299311.49410613675326
0.7888.41186367476341.56055931812565
0.7988.75443290781471.6333760945737
0.889.12230853776281.71565771352538
0.8189.51948227777151.81094445655853
0.8289.95062334463451.92206736996515
0.8390.42086625045532.04996162502066
0.8490.93539644424452.1925097757616
0.8591.49882800550282.34444340718645
0.8692.11436826337232.49742871111369
0.8792.78276258673592.64037054065961
0.8893.50104442737412.75897405028942
0.8994.2612288466492.83527921750761
0.995.04930094938142.84777264104261
0.9195.84509118454282.77418563342897
0.9296.62369208048382.59816880079252
0.9397.35867594836642.3189656284814
0.9498.02639520163351.95914428099113
0.9598.6094713309811.56363581809603
0.9699.09728338475361.18284982053634
0.9799.48308354165060.842097172975789
0.9899.76110138419520.526378069021215
0.9999.9293834890410.225175785916787


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')