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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 11:34:52 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256060232353q0pk7eu4tfy3.htm/, Retrieved Thu, 02 May 2024 23:20:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48871, Retrieved Thu, 02 May 2024 23:20:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-10-20 17:34:52] [ab2b68d5442f7c9b7e2e9d790849a234] [Current]
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Dataseries X:
2.14
2.45
2.52
2.3
2.25
2.06
1.99
2.25
2.26
2.36
2.3
2.19
2.31
2.21
2.21
2.26
2.18
2.21
2.33
2.12
2.08
1.97
2.09
2.11
2.24
2.45
2.68
2.73
2.76
2.83
3.16
3.22
3.22
3.34
3.35
3.42
3.58
3.71
3.68
3.83
3.94
3.88
4.03
4.15
4.32
4.4
4.37
4.14
4.11
4.16
3.98
4.13
3.76
3.66
3.85
4.03
4.31
4.58
4.46
4.41
3.84
2.84
2.66
2.17
1.43
1.47
1.29
1.23
1.09
0.94
0.76
0.67




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48871&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48871&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48871&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.711909651111470.114664949850023
0.020.7869681821271470.156747708207574
0.030.880194445005840.190292869711537
0.040.979619505094980.210144897506716
0.051.078999777548760.223990520287574
0.061.176512840566890.239800701403564
0.071.272755212808460.260504578007776
0.081.368890631570620.283470707038650
0.091.465321150610860.302791820427086
0.11.561101817319840.312459584974297
0.111.654074570171610.308749663365626
0.121.741480316128700.29124757714122
0.131.820716347060970.262546666195272
0.141.889948134457750.227085538336882
0.151.948413603694510.189725504041963
0.161.996404760167650.15459112041392
0.172.035017758624290.124421457498099
0.182.06580334150860.100458277222529
0.192.090433744716410.0826783825958613
0.22.110456410899590.070210915007627
0.212.127156156165530.0617818082687462
0.222.141512477604980.0561084318732061
0.232.154222125600300.0521580750053569
0.242.165755421760150.0492398997587196
0.252.176421605825410.0469576356689135
0.262.186427928236370.0451333878801128
0.272.195925625378180.0437317495984369
0.282.205041800595480.0427885107076235
0.292.213899475228770.0423884920096322
0.32.222629232621980.0426307261751479
0.312.231375690587710.0436279315796791
0.322.240301163329500.0455013675024527
0.332.249587806178340.0483975005894925
0.342.259438596795460.052449055348337
0.352.270076867411140.0577925193341832
0.362.281743823017690.0645366001665785
0.372.294693540208910.0727373308046673
0.382.309185271229310.0823972708954417
0.392.325473379141820.0934521903408768
0.42.343795785879510.105759467708164
0.412.364362297063940.119104503079588
0.422.387344447128360.133222436770905
0.432.412868476573940.147817251543624
0.442.441012650508270.162595793268510
0.452.471809374534190.177303769570268
0.462.505251580302440.191739009586686
0.472.541301850939240.205786733353349
0.482.579902001251010.219386350097348
0.492.620980567664510.232536977252997
0.52.664456048066310.245233478975776
0.512.710234744701670.257429986591127
0.522.758203493584820.269002686563266
0.532.808219043315580.279722890496162
0.542.860096945686240.289279615017179
0.552.913603183657530.297307009880054
0.562.968451233125520.303442341169911
0.573.024305950446570.307394037271757
0.583.080793971581000.308976133552671
0.593.137518721013930.308141115301734
0.63.194077154112130.304966486025982
0.613.250075291660850.299610502539292
0.623.305140439127030.292305826172977
0.633.358929397899070.283275495688224
0.643.411133459532220.272736872522017
0.653.461482005175180.260889121584881
0.663.509746764017650.247940949015907
0.673.555748159742960.234122765796704
0.683.599363930085490.219735256554614
0.693.640538773938620.20513846645182
0.73.679292632790220.190754248324002
0.713.715724705658220.177030838907871
0.723.750010582915560.164401670036127
0.733.782390903330780.153213853463409
0.743.813151466808810.143698890522020
0.753.842596468820540.135913386913284
0.763.871018155305340.129724236712544
0.773.898667474183230.124824341343826
0.783.925731035988930.120784846831247
0.793.952319749239010.117132844995676
0.83.978473696689620.113439183763771
0.814.004185889130020.109421940091531
0.824.029444090390390.105018034241497
0.834.054284687658240.100436386850967
0.844.078845974017810.0961706014815043
0.854.103401940720490.0929345189961682
0.864.128355125681150.0914416409748998
0.874.154172476808520.0920573321799727
0.884.181264357109230.0944176199821357
0.894.209831962798650.0973139245980174
0.94.239734466582830.0990018878665166
0.914.270442083542080.0977853976920067
0.924.301135902875470.0926476279960423
0.934.330991137808830.0837303640555421
0.944.359647953958540.0725385260846275
0.954.387826717014310.0619789890055133
0.964.417888604794870.0563088730135459
0.974.453635290938470.0602660358443751
0.984.497733670559830.0759717146760171
0.994.545502950982190.0993497246981539

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.71190965111147 & 0.114664949850023 \tabularnewline
0.02 & 0.786968182127147 & 0.156747708207574 \tabularnewline
0.03 & 0.88019444500584 & 0.190292869711537 \tabularnewline
0.04 & 0.97961950509498 & 0.210144897506716 \tabularnewline
0.05 & 1.07899977754876 & 0.223990520287574 \tabularnewline
0.06 & 1.17651284056689 & 0.239800701403564 \tabularnewline
0.07 & 1.27275521280846 & 0.260504578007776 \tabularnewline
0.08 & 1.36889063157062 & 0.283470707038650 \tabularnewline
0.09 & 1.46532115061086 & 0.302791820427086 \tabularnewline
0.1 & 1.56110181731984 & 0.312459584974297 \tabularnewline
0.11 & 1.65407457017161 & 0.308749663365626 \tabularnewline
0.12 & 1.74148031612870 & 0.29124757714122 \tabularnewline
0.13 & 1.82071634706097 & 0.262546666195272 \tabularnewline
0.14 & 1.88994813445775 & 0.227085538336882 \tabularnewline
0.15 & 1.94841360369451 & 0.189725504041963 \tabularnewline
0.16 & 1.99640476016765 & 0.15459112041392 \tabularnewline
0.17 & 2.03501775862429 & 0.124421457498099 \tabularnewline
0.18 & 2.0658033415086 & 0.100458277222529 \tabularnewline
0.19 & 2.09043374471641 & 0.0826783825958613 \tabularnewline
0.2 & 2.11045641089959 & 0.070210915007627 \tabularnewline
0.21 & 2.12715615616553 & 0.0617818082687462 \tabularnewline
0.22 & 2.14151247760498 & 0.0561084318732061 \tabularnewline
0.23 & 2.15422212560030 & 0.0521580750053569 \tabularnewline
0.24 & 2.16575542176015 & 0.0492398997587196 \tabularnewline
0.25 & 2.17642160582541 & 0.0469576356689135 \tabularnewline
0.26 & 2.18642792823637 & 0.0451333878801128 \tabularnewline
0.27 & 2.19592562537818 & 0.0437317495984369 \tabularnewline
0.28 & 2.20504180059548 & 0.0427885107076235 \tabularnewline
0.29 & 2.21389947522877 & 0.0423884920096322 \tabularnewline
0.3 & 2.22262923262198 & 0.0426307261751479 \tabularnewline
0.31 & 2.23137569058771 & 0.0436279315796791 \tabularnewline
0.32 & 2.24030116332950 & 0.0455013675024527 \tabularnewline
0.33 & 2.24958780617834 & 0.0483975005894925 \tabularnewline
0.34 & 2.25943859679546 & 0.052449055348337 \tabularnewline
0.35 & 2.27007686741114 & 0.0577925193341832 \tabularnewline
0.36 & 2.28174382301769 & 0.0645366001665785 \tabularnewline
0.37 & 2.29469354020891 & 0.0727373308046673 \tabularnewline
0.38 & 2.30918527122931 & 0.0823972708954417 \tabularnewline
0.39 & 2.32547337914182 & 0.0934521903408768 \tabularnewline
0.4 & 2.34379578587951 & 0.105759467708164 \tabularnewline
0.41 & 2.36436229706394 & 0.119104503079588 \tabularnewline
0.42 & 2.38734444712836 & 0.133222436770905 \tabularnewline
0.43 & 2.41286847657394 & 0.147817251543624 \tabularnewline
0.44 & 2.44101265050827 & 0.162595793268510 \tabularnewline
0.45 & 2.47180937453419 & 0.177303769570268 \tabularnewline
0.46 & 2.50525158030244 & 0.191739009586686 \tabularnewline
0.47 & 2.54130185093924 & 0.205786733353349 \tabularnewline
0.48 & 2.57990200125101 & 0.219386350097348 \tabularnewline
0.49 & 2.62098056766451 & 0.232536977252997 \tabularnewline
0.5 & 2.66445604806631 & 0.245233478975776 \tabularnewline
0.51 & 2.71023474470167 & 0.257429986591127 \tabularnewline
0.52 & 2.75820349358482 & 0.269002686563266 \tabularnewline
0.53 & 2.80821904331558 & 0.279722890496162 \tabularnewline
0.54 & 2.86009694568624 & 0.289279615017179 \tabularnewline
0.55 & 2.91360318365753 & 0.297307009880054 \tabularnewline
0.56 & 2.96845123312552 & 0.303442341169911 \tabularnewline
0.57 & 3.02430595044657 & 0.307394037271757 \tabularnewline
0.58 & 3.08079397158100 & 0.308976133552671 \tabularnewline
0.59 & 3.13751872101393 & 0.308141115301734 \tabularnewline
0.6 & 3.19407715411213 & 0.304966486025982 \tabularnewline
0.61 & 3.25007529166085 & 0.299610502539292 \tabularnewline
0.62 & 3.30514043912703 & 0.292305826172977 \tabularnewline
0.63 & 3.35892939789907 & 0.283275495688224 \tabularnewline
0.64 & 3.41113345953222 & 0.272736872522017 \tabularnewline
0.65 & 3.46148200517518 & 0.260889121584881 \tabularnewline
0.66 & 3.50974676401765 & 0.247940949015907 \tabularnewline
0.67 & 3.55574815974296 & 0.234122765796704 \tabularnewline
0.68 & 3.59936393008549 & 0.219735256554614 \tabularnewline
0.69 & 3.64053877393862 & 0.20513846645182 \tabularnewline
0.7 & 3.67929263279022 & 0.190754248324002 \tabularnewline
0.71 & 3.71572470565822 & 0.177030838907871 \tabularnewline
0.72 & 3.75001058291556 & 0.164401670036127 \tabularnewline
0.73 & 3.78239090333078 & 0.153213853463409 \tabularnewline
0.74 & 3.81315146680881 & 0.143698890522020 \tabularnewline
0.75 & 3.84259646882054 & 0.135913386913284 \tabularnewline
0.76 & 3.87101815530534 & 0.129724236712544 \tabularnewline
0.77 & 3.89866747418323 & 0.124824341343826 \tabularnewline
0.78 & 3.92573103598893 & 0.120784846831247 \tabularnewline
0.79 & 3.95231974923901 & 0.117132844995676 \tabularnewline
0.8 & 3.97847369668962 & 0.113439183763771 \tabularnewline
0.81 & 4.00418588913002 & 0.109421940091531 \tabularnewline
0.82 & 4.02944409039039 & 0.105018034241497 \tabularnewline
0.83 & 4.05428468765824 & 0.100436386850967 \tabularnewline
0.84 & 4.07884597401781 & 0.0961706014815043 \tabularnewline
0.85 & 4.10340194072049 & 0.0929345189961682 \tabularnewline
0.86 & 4.12835512568115 & 0.0914416409748998 \tabularnewline
0.87 & 4.15417247680852 & 0.0920573321799727 \tabularnewline
0.88 & 4.18126435710923 & 0.0944176199821357 \tabularnewline
0.89 & 4.20983196279865 & 0.0973139245980174 \tabularnewline
0.9 & 4.23973446658283 & 0.0990018878665166 \tabularnewline
0.91 & 4.27044208354208 & 0.0977853976920067 \tabularnewline
0.92 & 4.30113590287547 & 0.0926476279960423 \tabularnewline
0.93 & 4.33099113780883 & 0.0837303640555421 \tabularnewline
0.94 & 4.35964795395854 & 0.0725385260846275 \tabularnewline
0.95 & 4.38782671701431 & 0.0619789890055133 \tabularnewline
0.96 & 4.41788860479487 & 0.0563088730135459 \tabularnewline
0.97 & 4.45363529093847 & 0.0602660358443751 \tabularnewline
0.98 & 4.49773367055983 & 0.0759717146760171 \tabularnewline
0.99 & 4.54550295098219 & 0.0993497246981539 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48871&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]0.71190965111147[/C][C]0.114664949850023[/C][/ROW]
[ROW][C]0.02[/C][C]0.786968182127147[/C][C]0.156747708207574[/C][/ROW]
[ROW][C]0.03[/C][C]0.88019444500584[/C][C]0.190292869711537[/C][/ROW]
[ROW][C]0.04[/C][C]0.97961950509498[/C][C]0.210144897506716[/C][/ROW]
[ROW][C]0.05[/C][C]1.07899977754876[/C][C]0.223990520287574[/C][/ROW]
[ROW][C]0.06[/C][C]1.17651284056689[/C][C]0.239800701403564[/C][/ROW]
[ROW][C]0.07[/C][C]1.27275521280846[/C][C]0.260504578007776[/C][/ROW]
[ROW][C]0.08[/C][C]1.36889063157062[/C][C]0.283470707038650[/C][/ROW]
[ROW][C]0.09[/C][C]1.46532115061086[/C][C]0.302791820427086[/C][/ROW]
[ROW][C]0.1[/C][C]1.56110181731984[/C][C]0.312459584974297[/C][/ROW]
[ROW][C]0.11[/C][C]1.65407457017161[/C][C]0.308749663365626[/C][/ROW]
[ROW][C]0.12[/C][C]1.74148031612870[/C][C]0.29124757714122[/C][/ROW]
[ROW][C]0.13[/C][C]1.82071634706097[/C][C]0.262546666195272[/C][/ROW]
[ROW][C]0.14[/C][C]1.88994813445775[/C][C]0.227085538336882[/C][/ROW]
[ROW][C]0.15[/C][C]1.94841360369451[/C][C]0.189725504041963[/C][/ROW]
[ROW][C]0.16[/C][C]1.99640476016765[/C][C]0.15459112041392[/C][/ROW]
[ROW][C]0.17[/C][C]2.03501775862429[/C][C]0.124421457498099[/C][/ROW]
[ROW][C]0.18[/C][C]2.0658033415086[/C][C]0.100458277222529[/C][/ROW]
[ROW][C]0.19[/C][C]2.09043374471641[/C][C]0.0826783825958613[/C][/ROW]
[ROW][C]0.2[/C][C]2.11045641089959[/C][C]0.070210915007627[/C][/ROW]
[ROW][C]0.21[/C][C]2.12715615616553[/C][C]0.0617818082687462[/C][/ROW]
[ROW][C]0.22[/C][C]2.14151247760498[/C][C]0.0561084318732061[/C][/ROW]
[ROW][C]0.23[/C][C]2.15422212560030[/C][C]0.0521580750053569[/C][/ROW]
[ROW][C]0.24[/C][C]2.16575542176015[/C][C]0.0492398997587196[/C][/ROW]
[ROW][C]0.25[/C][C]2.17642160582541[/C][C]0.0469576356689135[/C][/ROW]
[ROW][C]0.26[/C][C]2.18642792823637[/C][C]0.0451333878801128[/C][/ROW]
[ROW][C]0.27[/C][C]2.19592562537818[/C][C]0.0437317495984369[/C][/ROW]
[ROW][C]0.28[/C][C]2.20504180059548[/C][C]0.0427885107076235[/C][/ROW]
[ROW][C]0.29[/C][C]2.21389947522877[/C][C]0.0423884920096322[/C][/ROW]
[ROW][C]0.3[/C][C]2.22262923262198[/C][C]0.0426307261751479[/C][/ROW]
[ROW][C]0.31[/C][C]2.23137569058771[/C][C]0.0436279315796791[/C][/ROW]
[ROW][C]0.32[/C][C]2.24030116332950[/C][C]0.0455013675024527[/C][/ROW]
[ROW][C]0.33[/C][C]2.24958780617834[/C][C]0.0483975005894925[/C][/ROW]
[ROW][C]0.34[/C][C]2.25943859679546[/C][C]0.052449055348337[/C][/ROW]
[ROW][C]0.35[/C][C]2.27007686741114[/C][C]0.0577925193341832[/C][/ROW]
[ROW][C]0.36[/C][C]2.28174382301769[/C][C]0.0645366001665785[/C][/ROW]
[ROW][C]0.37[/C][C]2.29469354020891[/C][C]0.0727373308046673[/C][/ROW]
[ROW][C]0.38[/C][C]2.30918527122931[/C][C]0.0823972708954417[/C][/ROW]
[ROW][C]0.39[/C][C]2.32547337914182[/C][C]0.0934521903408768[/C][/ROW]
[ROW][C]0.4[/C][C]2.34379578587951[/C][C]0.105759467708164[/C][/ROW]
[ROW][C]0.41[/C][C]2.36436229706394[/C][C]0.119104503079588[/C][/ROW]
[ROW][C]0.42[/C][C]2.38734444712836[/C][C]0.133222436770905[/C][/ROW]
[ROW][C]0.43[/C][C]2.41286847657394[/C][C]0.147817251543624[/C][/ROW]
[ROW][C]0.44[/C][C]2.44101265050827[/C][C]0.162595793268510[/C][/ROW]
[ROW][C]0.45[/C][C]2.47180937453419[/C][C]0.177303769570268[/C][/ROW]
[ROW][C]0.46[/C][C]2.50525158030244[/C][C]0.191739009586686[/C][/ROW]
[ROW][C]0.47[/C][C]2.54130185093924[/C][C]0.205786733353349[/C][/ROW]
[ROW][C]0.48[/C][C]2.57990200125101[/C][C]0.219386350097348[/C][/ROW]
[ROW][C]0.49[/C][C]2.62098056766451[/C][C]0.232536977252997[/C][/ROW]
[ROW][C]0.5[/C][C]2.66445604806631[/C][C]0.245233478975776[/C][/ROW]
[ROW][C]0.51[/C][C]2.71023474470167[/C][C]0.257429986591127[/C][/ROW]
[ROW][C]0.52[/C][C]2.75820349358482[/C][C]0.269002686563266[/C][/ROW]
[ROW][C]0.53[/C][C]2.80821904331558[/C][C]0.279722890496162[/C][/ROW]
[ROW][C]0.54[/C][C]2.86009694568624[/C][C]0.289279615017179[/C][/ROW]
[ROW][C]0.55[/C][C]2.91360318365753[/C][C]0.297307009880054[/C][/ROW]
[ROW][C]0.56[/C][C]2.96845123312552[/C][C]0.303442341169911[/C][/ROW]
[ROW][C]0.57[/C][C]3.02430595044657[/C][C]0.307394037271757[/C][/ROW]
[ROW][C]0.58[/C][C]3.08079397158100[/C][C]0.308976133552671[/C][/ROW]
[ROW][C]0.59[/C][C]3.13751872101393[/C][C]0.308141115301734[/C][/ROW]
[ROW][C]0.6[/C][C]3.19407715411213[/C][C]0.304966486025982[/C][/ROW]
[ROW][C]0.61[/C][C]3.25007529166085[/C][C]0.299610502539292[/C][/ROW]
[ROW][C]0.62[/C][C]3.30514043912703[/C][C]0.292305826172977[/C][/ROW]
[ROW][C]0.63[/C][C]3.35892939789907[/C][C]0.283275495688224[/C][/ROW]
[ROW][C]0.64[/C][C]3.41113345953222[/C][C]0.272736872522017[/C][/ROW]
[ROW][C]0.65[/C][C]3.46148200517518[/C][C]0.260889121584881[/C][/ROW]
[ROW][C]0.66[/C][C]3.50974676401765[/C][C]0.247940949015907[/C][/ROW]
[ROW][C]0.67[/C][C]3.55574815974296[/C][C]0.234122765796704[/C][/ROW]
[ROW][C]0.68[/C][C]3.59936393008549[/C][C]0.219735256554614[/C][/ROW]
[ROW][C]0.69[/C][C]3.64053877393862[/C][C]0.20513846645182[/C][/ROW]
[ROW][C]0.7[/C][C]3.67929263279022[/C][C]0.190754248324002[/C][/ROW]
[ROW][C]0.71[/C][C]3.71572470565822[/C][C]0.177030838907871[/C][/ROW]
[ROW][C]0.72[/C][C]3.75001058291556[/C][C]0.164401670036127[/C][/ROW]
[ROW][C]0.73[/C][C]3.78239090333078[/C][C]0.153213853463409[/C][/ROW]
[ROW][C]0.74[/C][C]3.81315146680881[/C][C]0.143698890522020[/C][/ROW]
[ROW][C]0.75[/C][C]3.84259646882054[/C][C]0.135913386913284[/C][/ROW]
[ROW][C]0.76[/C][C]3.87101815530534[/C][C]0.129724236712544[/C][/ROW]
[ROW][C]0.77[/C][C]3.89866747418323[/C][C]0.124824341343826[/C][/ROW]
[ROW][C]0.78[/C][C]3.92573103598893[/C][C]0.120784846831247[/C][/ROW]
[ROW][C]0.79[/C][C]3.95231974923901[/C][C]0.117132844995676[/C][/ROW]
[ROW][C]0.8[/C][C]3.97847369668962[/C][C]0.113439183763771[/C][/ROW]
[ROW][C]0.81[/C][C]4.00418588913002[/C][C]0.109421940091531[/C][/ROW]
[ROW][C]0.82[/C][C]4.02944409039039[/C][C]0.105018034241497[/C][/ROW]
[ROW][C]0.83[/C][C]4.05428468765824[/C][C]0.100436386850967[/C][/ROW]
[ROW][C]0.84[/C][C]4.07884597401781[/C][C]0.0961706014815043[/C][/ROW]
[ROW][C]0.85[/C][C]4.10340194072049[/C][C]0.0929345189961682[/C][/ROW]
[ROW][C]0.86[/C][C]4.12835512568115[/C][C]0.0914416409748998[/C][/ROW]
[ROW][C]0.87[/C][C]4.15417247680852[/C][C]0.0920573321799727[/C][/ROW]
[ROW][C]0.88[/C][C]4.18126435710923[/C][C]0.0944176199821357[/C][/ROW]
[ROW][C]0.89[/C][C]4.20983196279865[/C][C]0.0973139245980174[/C][/ROW]
[ROW][C]0.9[/C][C]4.23973446658283[/C][C]0.0990018878665166[/C][/ROW]
[ROW][C]0.91[/C][C]4.27044208354208[/C][C]0.0977853976920067[/C][/ROW]
[ROW][C]0.92[/C][C]4.30113590287547[/C][C]0.0926476279960423[/C][/ROW]
[ROW][C]0.93[/C][C]4.33099113780883[/C][C]0.0837303640555421[/C][/ROW]
[ROW][C]0.94[/C][C]4.35964795395854[/C][C]0.0725385260846275[/C][/ROW]
[ROW][C]0.95[/C][C]4.38782671701431[/C][C]0.0619789890055133[/C][/ROW]
[ROW][C]0.96[/C][C]4.41788860479487[/C][C]0.0563088730135459[/C][/ROW]
[ROW][C]0.97[/C][C]4.45363529093847[/C][C]0.0602660358443751[/C][/ROW]
[ROW][C]0.98[/C][C]4.49773367055983[/C][C]0.0759717146760171[/C][/ROW]
[ROW][C]0.99[/C][C]4.54550295098219[/C][C]0.0993497246981539[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48871&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48871&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.711909651111470.114664949850023
0.020.7869681821271470.156747708207574
0.030.880194445005840.190292869711537
0.040.979619505094980.210144897506716
0.051.078999777548760.223990520287574
0.061.176512840566890.239800701403564
0.071.272755212808460.260504578007776
0.081.368890631570620.283470707038650
0.091.465321150610860.302791820427086
0.11.561101817319840.312459584974297
0.111.654074570171610.308749663365626
0.121.741480316128700.29124757714122
0.131.820716347060970.262546666195272
0.141.889948134457750.227085538336882
0.151.948413603694510.189725504041963
0.161.996404760167650.15459112041392
0.172.035017758624290.124421457498099
0.182.06580334150860.100458277222529
0.192.090433744716410.0826783825958613
0.22.110456410899590.070210915007627
0.212.127156156165530.0617818082687462
0.222.141512477604980.0561084318732061
0.232.154222125600300.0521580750053569
0.242.165755421760150.0492398997587196
0.252.176421605825410.0469576356689135
0.262.186427928236370.0451333878801128
0.272.195925625378180.0437317495984369
0.282.205041800595480.0427885107076235
0.292.213899475228770.0423884920096322
0.32.222629232621980.0426307261751479
0.312.231375690587710.0436279315796791
0.322.240301163329500.0455013675024527
0.332.249587806178340.0483975005894925
0.342.259438596795460.052449055348337
0.352.270076867411140.0577925193341832
0.362.281743823017690.0645366001665785
0.372.294693540208910.0727373308046673
0.382.309185271229310.0823972708954417
0.392.325473379141820.0934521903408768
0.42.343795785879510.105759467708164
0.412.364362297063940.119104503079588
0.422.387344447128360.133222436770905
0.432.412868476573940.147817251543624
0.442.441012650508270.162595793268510
0.452.471809374534190.177303769570268
0.462.505251580302440.191739009586686
0.472.541301850939240.205786733353349
0.482.579902001251010.219386350097348
0.492.620980567664510.232536977252997
0.52.664456048066310.245233478975776
0.512.710234744701670.257429986591127
0.522.758203493584820.269002686563266
0.532.808219043315580.279722890496162
0.542.860096945686240.289279615017179
0.552.913603183657530.297307009880054
0.562.968451233125520.303442341169911
0.573.024305950446570.307394037271757
0.583.080793971581000.308976133552671
0.593.137518721013930.308141115301734
0.63.194077154112130.304966486025982
0.613.250075291660850.299610502539292
0.623.305140439127030.292305826172977
0.633.358929397899070.283275495688224
0.643.411133459532220.272736872522017
0.653.461482005175180.260889121584881
0.663.509746764017650.247940949015907
0.673.555748159742960.234122765796704
0.683.599363930085490.219735256554614
0.693.640538773938620.20513846645182
0.73.679292632790220.190754248324002
0.713.715724705658220.177030838907871
0.723.750010582915560.164401670036127
0.733.782390903330780.153213853463409
0.743.813151466808810.143698890522020
0.753.842596468820540.135913386913284
0.763.871018155305340.129724236712544
0.773.898667474183230.124824341343826
0.783.925731035988930.120784846831247
0.793.952319749239010.117132844995676
0.83.978473696689620.113439183763771
0.814.004185889130020.109421940091531
0.824.029444090390390.105018034241497
0.834.054284687658240.100436386850967
0.844.078845974017810.0961706014815043
0.854.103401940720490.0929345189961682
0.864.128355125681150.0914416409748998
0.874.154172476808520.0920573321799727
0.884.181264357109230.0944176199821357
0.894.209831962798650.0973139245980174
0.94.239734466582830.0990018878665166
0.914.270442083542080.0977853976920067
0.924.301135902875470.0926476279960423
0.934.330991137808830.0837303640555421
0.944.359647953958540.0725385260846275
0.954.387826717014310.0619789890055133
0.964.417888604794870.0563088730135459
0.974.453635290938470.0602660358443751
0.984.497733670559830.0759717146760171
0.994.545502950982190.0993497246981539



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')