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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, 13 Oct 2009 13:07:35 -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/13/t1255460896zu74oxvu00c12mf.htm/, Retrieved Sat, 27 Apr 2024 12:54:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46306, Retrieved Sat, 27 Apr 2024 12:54:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4 oefening...] [2009-10-13 19:07:35] [243e584c296eec1181ddc9ac4f09d2dd] [Current]
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Dataseries X:
100.09
100.09
100.06
100.11
100.08
100.08
100.08
100.08
99.94
99.79
99.98
99.98
99.98
99.98
99.93
99.93
99.93
99.93
99.93
99.93
99.76
99.48
99.55
99.56
99.57
99.56
99.65
99.5
99.5
99.49
99.49
99.46
99.52
99.49
99.55
99.57
99.57
99.57
99.57
99.57
99.57
99.57
99.57
99.53
100.38
100.32
100.46
100.47
100.47
100.47
100.51
100.5
100.51
100.51
100.51
100.51
101.65
102.13
102.2
102.13
102.13
102.12
102.13
102.05
102
102.01
102.01
102.02
102.78
103.39
103.41
103.5
103.5
103.49
103.38
103.24
103.25
103.25
103.25
103.25
103.83
104.33
104.36
104.48
104.5
104.48
104.35
104.48
104.48
104.47
104.47
104.86
105.22
105.96
106.03
106.03




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46306&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46306&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.468390783540.0153969389154068
0.0299.47871104806530.0103977922375002
0.0399.48649176873480.00813529923412169
0.0499.49234437022730.0096246720095453
0.0599.49806001385140.0134467178540208
0.0699.50470166509150.0177083922111119
0.0799.51245804387640.0211927507424487
0.0899.52096225762930.0230257599112004
0.0999.52962270489730.0231364909312611
0.199.53787094411150.0217695153242656
0.1199.54531203960850.0195287175543793
0.1299.55178862301150.0171584841702106
0.1399.55738754126360.015380545461885
0.1499.56242276236380.0150709864928138
0.1599.567415783150.0172994565022803
0.1699.57307367317880.0229088004604189
0.1799.58024881295530.0323392279691715
0.1899.58986205568210.0456096833386649
0.1999.60278277364870.0620174210519267
0.299.6196789358940.0806185980616431
0.2199.64086899967020.0995332926107779
0.2299.66621650770820.116686796140158
0.2399.69510295921690.130164987583258
0.2499.7264954779710.138387583647332
0.2599.7590993749870.140639453001339
0.2699.79156140138340.137233425653234
0.2799.82267599794610.128977942231498
0.2899.85154845753610.117724434445718
0.2999.8776840446260.105305796811409
0.399.90099450451620.093460347931161
0.3199.92173509043040.0835323526675951
0.3299.94039977634350.0764513697998688
0.3399.95760672191230.0724886782748339
0.3499.9740010524360.0714667929723469
0.3599.99019093771820.0730405073986812
0.36100.0067200430860.0767293970382573
0.37100.0240684371720.0824505661506698
0.38100.0426674710150.089980678423634
0.39100.0629130481570.0993859391090256
0.4100.0851658222230.110623132159275
0.41100.1097347961540.123293705466824
0.42100.1368502578800.136780900349558
0.43100.1666401208910.150571887003547
0.44100.1991277280110.163918355985028
0.45100.2342670092040.176472414863704
0.46100.2720220885180.188343649538589
0.47100.3124845046110.200668123401216
0.48100.3560054951360.215130578036147
0.49100.4033078353620.234189603799096
0.5100.4555361423520.260741728710459
0.51100.5142097927320.296494169383909
0.52100.5810597091460.342147631459689
0.53100.6577571073530.396235037201742
0.54100.7455733803120.455592710812335
0.55100.8450375970410.515014093407135
0.56100.9556728718170.568912767760969
0.57101.0758882885540.611320078539214
0.58101.2030769136440.63762213824185
0.59101.3339267284470.645103902099294
0.6101.4649000692310.633780417219282
0.61101.5927918548620.606560314352895
0.62101.7152504184410.568805384972208
0.63101.8311453978910.527725313790718
0.64101.9406959521370.490705691673067
0.65102.0453232954320.464186805439825
0.66102.1472526092870.452021949570117
0.67102.2489469870270.454000844706208
0.68102.3524971214110.466221375969649
0.69102.4591049968260.482515177874993
0.7102.5687829358150.495625855932656
0.71102.6803426863680.49989359287538
0.72102.7916821742570.49156989153488
0.73102.9003061382710.470030840847115
0.74103.0039599831290.437678139263317
0.75103.1012291842550.399409438267651
0.76103.1919652482980.361875590795756
0.77103.2774377030050.331835169810557
0.78103.3601663422920.315279635997082
0.79103.4434460567630.315233738686871
0.8103.5306323945590.330460652326975
0.81103.6243103050050.355514575458926
0.82103.7255192058830.38202799446546
0.83103.8332390762050.40092083909751
0.84103.9443261354160.404283841055728
0.85104.0539992564960.387450118773289
0.86104.1568288630540.350207188241025
0.87104.2480258132960.297206485740025
0.88104.3247532829080.23675203746575
0.89104.3872453868970.179154225106938
0.9104.4396765423740.136005797588595
0.91104.4908391034230.121611885346037
0.92104.5545497014120.150398098226956
0.93104.6491648013900.22484144691726
0.94104.7946912883810.335951890933125
0.95105.0053031764400.460068198336405
0.96105.2764156082720.547755302686732
0.97105.5717523865590.53083337539949
0.98105.8262329406590.372393583986199
0.99105.9804263865880.142651102499538

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.46839078354 & 0.0153969389154068 \tabularnewline
0.02 & 99.4787110480653 & 0.0103977922375002 \tabularnewline
0.03 & 99.4864917687348 & 0.00813529923412169 \tabularnewline
0.04 & 99.4923443702273 & 0.0096246720095453 \tabularnewline
0.05 & 99.4980600138514 & 0.0134467178540208 \tabularnewline
0.06 & 99.5047016650915 & 0.0177083922111119 \tabularnewline
0.07 & 99.5124580438764 & 0.0211927507424487 \tabularnewline
0.08 & 99.5209622576293 & 0.0230257599112004 \tabularnewline
0.09 & 99.5296227048973 & 0.0231364909312611 \tabularnewline
0.1 & 99.5378709441115 & 0.0217695153242656 \tabularnewline
0.11 & 99.5453120396085 & 0.0195287175543793 \tabularnewline
0.12 & 99.5517886230115 & 0.0171584841702106 \tabularnewline
0.13 & 99.5573875412636 & 0.015380545461885 \tabularnewline
0.14 & 99.5624227623638 & 0.0150709864928138 \tabularnewline
0.15 & 99.56741578315 & 0.0172994565022803 \tabularnewline
0.16 & 99.5730736731788 & 0.0229088004604189 \tabularnewline
0.17 & 99.5802488129553 & 0.0323392279691715 \tabularnewline
0.18 & 99.5898620556821 & 0.0456096833386649 \tabularnewline
0.19 & 99.6027827736487 & 0.0620174210519267 \tabularnewline
0.2 & 99.619678935894 & 0.0806185980616431 \tabularnewline
0.21 & 99.6408689996702 & 0.0995332926107779 \tabularnewline
0.22 & 99.6662165077082 & 0.116686796140158 \tabularnewline
0.23 & 99.6951029592169 & 0.130164987583258 \tabularnewline
0.24 & 99.726495477971 & 0.138387583647332 \tabularnewline
0.25 & 99.759099374987 & 0.140639453001339 \tabularnewline
0.26 & 99.7915614013834 & 0.137233425653234 \tabularnewline
0.27 & 99.8226759979461 & 0.128977942231498 \tabularnewline
0.28 & 99.8515484575361 & 0.117724434445718 \tabularnewline
0.29 & 99.877684044626 & 0.105305796811409 \tabularnewline
0.3 & 99.9009945045162 & 0.093460347931161 \tabularnewline
0.31 & 99.9217350904304 & 0.0835323526675951 \tabularnewline
0.32 & 99.9403997763435 & 0.0764513697998688 \tabularnewline
0.33 & 99.9576067219123 & 0.0724886782748339 \tabularnewline
0.34 & 99.974001052436 & 0.0714667929723469 \tabularnewline
0.35 & 99.9901909377182 & 0.0730405073986812 \tabularnewline
0.36 & 100.006720043086 & 0.0767293970382573 \tabularnewline
0.37 & 100.024068437172 & 0.0824505661506698 \tabularnewline
0.38 & 100.042667471015 & 0.089980678423634 \tabularnewline
0.39 & 100.062913048157 & 0.0993859391090256 \tabularnewline
0.4 & 100.085165822223 & 0.110623132159275 \tabularnewline
0.41 & 100.109734796154 & 0.123293705466824 \tabularnewline
0.42 & 100.136850257880 & 0.136780900349558 \tabularnewline
0.43 & 100.166640120891 & 0.150571887003547 \tabularnewline
0.44 & 100.199127728011 & 0.163918355985028 \tabularnewline
0.45 & 100.234267009204 & 0.176472414863704 \tabularnewline
0.46 & 100.272022088518 & 0.188343649538589 \tabularnewline
0.47 & 100.312484504611 & 0.200668123401216 \tabularnewline
0.48 & 100.356005495136 & 0.215130578036147 \tabularnewline
0.49 & 100.403307835362 & 0.234189603799096 \tabularnewline
0.5 & 100.455536142352 & 0.260741728710459 \tabularnewline
0.51 & 100.514209792732 & 0.296494169383909 \tabularnewline
0.52 & 100.581059709146 & 0.342147631459689 \tabularnewline
0.53 & 100.657757107353 & 0.396235037201742 \tabularnewline
0.54 & 100.745573380312 & 0.455592710812335 \tabularnewline
0.55 & 100.845037597041 & 0.515014093407135 \tabularnewline
0.56 & 100.955672871817 & 0.568912767760969 \tabularnewline
0.57 & 101.075888288554 & 0.611320078539214 \tabularnewline
0.58 & 101.203076913644 & 0.63762213824185 \tabularnewline
0.59 & 101.333926728447 & 0.645103902099294 \tabularnewline
0.6 & 101.464900069231 & 0.633780417219282 \tabularnewline
0.61 & 101.592791854862 & 0.606560314352895 \tabularnewline
0.62 & 101.715250418441 & 0.568805384972208 \tabularnewline
0.63 & 101.831145397891 & 0.527725313790718 \tabularnewline
0.64 & 101.940695952137 & 0.490705691673067 \tabularnewline
0.65 & 102.045323295432 & 0.464186805439825 \tabularnewline
0.66 & 102.147252609287 & 0.452021949570117 \tabularnewline
0.67 & 102.248946987027 & 0.454000844706208 \tabularnewline
0.68 & 102.352497121411 & 0.466221375969649 \tabularnewline
0.69 & 102.459104996826 & 0.482515177874993 \tabularnewline
0.7 & 102.568782935815 & 0.495625855932656 \tabularnewline
0.71 & 102.680342686368 & 0.49989359287538 \tabularnewline
0.72 & 102.791682174257 & 0.49156989153488 \tabularnewline
0.73 & 102.900306138271 & 0.470030840847115 \tabularnewline
0.74 & 103.003959983129 & 0.437678139263317 \tabularnewline
0.75 & 103.101229184255 & 0.399409438267651 \tabularnewline
0.76 & 103.191965248298 & 0.361875590795756 \tabularnewline
0.77 & 103.277437703005 & 0.331835169810557 \tabularnewline
0.78 & 103.360166342292 & 0.315279635997082 \tabularnewline
0.79 & 103.443446056763 & 0.315233738686871 \tabularnewline
0.8 & 103.530632394559 & 0.330460652326975 \tabularnewline
0.81 & 103.624310305005 & 0.355514575458926 \tabularnewline
0.82 & 103.725519205883 & 0.38202799446546 \tabularnewline
0.83 & 103.833239076205 & 0.40092083909751 \tabularnewline
0.84 & 103.944326135416 & 0.404283841055728 \tabularnewline
0.85 & 104.053999256496 & 0.387450118773289 \tabularnewline
0.86 & 104.156828863054 & 0.350207188241025 \tabularnewline
0.87 & 104.248025813296 & 0.297206485740025 \tabularnewline
0.88 & 104.324753282908 & 0.23675203746575 \tabularnewline
0.89 & 104.387245386897 & 0.179154225106938 \tabularnewline
0.9 & 104.439676542374 & 0.136005797588595 \tabularnewline
0.91 & 104.490839103423 & 0.121611885346037 \tabularnewline
0.92 & 104.554549701412 & 0.150398098226956 \tabularnewline
0.93 & 104.649164801390 & 0.22484144691726 \tabularnewline
0.94 & 104.794691288381 & 0.335951890933125 \tabularnewline
0.95 & 105.005303176440 & 0.460068198336405 \tabularnewline
0.96 & 105.276415608272 & 0.547755302686732 \tabularnewline
0.97 & 105.571752386559 & 0.53083337539949 \tabularnewline
0.98 & 105.826232940659 & 0.372393583986199 \tabularnewline
0.99 & 105.980426386588 & 0.142651102499538 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46306&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]99.46839078354[/C][C]0.0153969389154068[/C][/ROW]
[ROW][C]0.02[/C][C]99.4787110480653[/C][C]0.0103977922375002[/C][/ROW]
[ROW][C]0.03[/C][C]99.4864917687348[/C][C]0.00813529923412169[/C][/ROW]
[ROW][C]0.04[/C][C]99.4923443702273[/C][C]0.0096246720095453[/C][/ROW]
[ROW][C]0.05[/C][C]99.4980600138514[/C][C]0.0134467178540208[/C][/ROW]
[ROW][C]0.06[/C][C]99.5047016650915[/C][C]0.0177083922111119[/C][/ROW]
[ROW][C]0.07[/C][C]99.5124580438764[/C][C]0.0211927507424487[/C][/ROW]
[ROW][C]0.08[/C][C]99.5209622576293[/C][C]0.0230257599112004[/C][/ROW]
[ROW][C]0.09[/C][C]99.5296227048973[/C][C]0.0231364909312611[/C][/ROW]
[ROW][C]0.1[/C][C]99.5378709441115[/C][C]0.0217695153242656[/C][/ROW]
[ROW][C]0.11[/C][C]99.5453120396085[/C][C]0.0195287175543793[/C][/ROW]
[ROW][C]0.12[/C][C]99.5517886230115[/C][C]0.0171584841702106[/C][/ROW]
[ROW][C]0.13[/C][C]99.5573875412636[/C][C]0.015380545461885[/C][/ROW]
[ROW][C]0.14[/C][C]99.5624227623638[/C][C]0.0150709864928138[/C][/ROW]
[ROW][C]0.15[/C][C]99.56741578315[/C][C]0.0172994565022803[/C][/ROW]
[ROW][C]0.16[/C][C]99.5730736731788[/C][C]0.0229088004604189[/C][/ROW]
[ROW][C]0.17[/C][C]99.5802488129553[/C][C]0.0323392279691715[/C][/ROW]
[ROW][C]0.18[/C][C]99.5898620556821[/C][C]0.0456096833386649[/C][/ROW]
[ROW][C]0.19[/C][C]99.6027827736487[/C][C]0.0620174210519267[/C][/ROW]
[ROW][C]0.2[/C][C]99.619678935894[/C][C]0.0806185980616431[/C][/ROW]
[ROW][C]0.21[/C][C]99.6408689996702[/C][C]0.0995332926107779[/C][/ROW]
[ROW][C]0.22[/C][C]99.6662165077082[/C][C]0.116686796140158[/C][/ROW]
[ROW][C]0.23[/C][C]99.6951029592169[/C][C]0.130164987583258[/C][/ROW]
[ROW][C]0.24[/C][C]99.726495477971[/C][C]0.138387583647332[/C][/ROW]
[ROW][C]0.25[/C][C]99.759099374987[/C][C]0.140639453001339[/C][/ROW]
[ROW][C]0.26[/C][C]99.7915614013834[/C][C]0.137233425653234[/C][/ROW]
[ROW][C]0.27[/C][C]99.8226759979461[/C][C]0.128977942231498[/C][/ROW]
[ROW][C]0.28[/C][C]99.8515484575361[/C][C]0.117724434445718[/C][/ROW]
[ROW][C]0.29[/C][C]99.877684044626[/C][C]0.105305796811409[/C][/ROW]
[ROW][C]0.3[/C][C]99.9009945045162[/C][C]0.093460347931161[/C][/ROW]
[ROW][C]0.31[/C][C]99.9217350904304[/C][C]0.0835323526675951[/C][/ROW]
[ROW][C]0.32[/C][C]99.9403997763435[/C][C]0.0764513697998688[/C][/ROW]
[ROW][C]0.33[/C][C]99.9576067219123[/C][C]0.0724886782748339[/C][/ROW]
[ROW][C]0.34[/C][C]99.974001052436[/C][C]0.0714667929723469[/C][/ROW]
[ROW][C]0.35[/C][C]99.9901909377182[/C][C]0.0730405073986812[/C][/ROW]
[ROW][C]0.36[/C][C]100.006720043086[/C][C]0.0767293970382573[/C][/ROW]
[ROW][C]0.37[/C][C]100.024068437172[/C][C]0.0824505661506698[/C][/ROW]
[ROW][C]0.38[/C][C]100.042667471015[/C][C]0.089980678423634[/C][/ROW]
[ROW][C]0.39[/C][C]100.062913048157[/C][C]0.0993859391090256[/C][/ROW]
[ROW][C]0.4[/C][C]100.085165822223[/C][C]0.110623132159275[/C][/ROW]
[ROW][C]0.41[/C][C]100.109734796154[/C][C]0.123293705466824[/C][/ROW]
[ROW][C]0.42[/C][C]100.136850257880[/C][C]0.136780900349558[/C][/ROW]
[ROW][C]0.43[/C][C]100.166640120891[/C][C]0.150571887003547[/C][/ROW]
[ROW][C]0.44[/C][C]100.199127728011[/C][C]0.163918355985028[/C][/ROW]
[ROW][C]0.45[/C][C]100.234267009204[/C][C]0.176472414863704[/C][/ROW]
[ROW][C]0.46[/C][C]100.272022088518[/C][C]0.188343649538589[/C][/ROW]
[ROW][C]0.47[/C][C]100.312484504611[/C][C]0.200668123401216[/C][/ROW]
[ROW][C]0.48[/C][C]100.356005495136[/C][C]0.215130578036147[/C][/ROW]
[ROW][C]0.49[/C][C]100.403307835362[/C][C]0.234189603799096[/C][/ROW]
[ROW][C]0.5[/C][C]100.455536142352[/C][C]0.260741728710459[/C][/ROW]
[ROW][C]0.51[/C][C]100.514209792732[/C][C]0.296494169383909[/C][/ROW]
[ROW][C]0.52[/C][C]100.581059709146[/C][C]0.342147631459689[/C][/ROW]
[ROW][C]0.53[/C][C]100.657757107353[/C][C]0.396235037201742[/C][/ROW]
[ROW][C]0.54[/C][C]100.745573380312[/C][C]0.455592710812335[/C][/ROW]
[ROW][C]0.55[/C][C]100.845037597041[/C][C]0.515014093407135[/C][/ROW]
[ROW][C]0.56[/C][C]100.955672871817[/C][C]0.568912767760969[/C][/ROW]
[ROW][C]0.57[/C][C]101.075888288554[/C][C]0.611320078539214[/C][/ROW]
[ROW][C]0.58[/C][C]101.203076913644[/C][C]0.63762213824185[/C][/ROW]
[ROW][C]0.59[/C][C]101.333926728447[/C][C]0.645103902099294[/C][/ROW]
[ROW][C]0.6[/C][C]101.464900069231[/C][C]0.633780417219282[/C][/ROW]
[ROW][C]0.61[/C][C]101.592791854862[/C][C]0.606560314352895[/C][/ROW]
[ROW][C]0.62[/C][C]101.715250418441[/C][C]0.568805384972208[/C][/ROW]
[ROW][C]0.63[/C][C]101.831145397891[/C][C]0.527725313790718[/C][/ROW]
[ROW][C]0.64[/C][C]101.940695952137[/C][C]0.490705691673067[/C][/ROW]
[ROW][C]0.65[/C][C]102.045323295432[/C][C]0.464186805439825[/C][/ROW]
[ROW][C]0.66[/C][C]102.147252609287[/C][C]0.452021949570117[/C][/ROW]
[ROW][C]0.67[/C][C]102.248946987027[/C][C]0.454000844706208[/C][/ROW]
[ROW][C]0.68[/C][C]102.352497121411[/C][C]0.466221375969649[/C][/ROW]
[ROW][C]0.69[/C][C]102.459104996826[/C][C]0.482515177874993[/C][/ROW]
[ROW][C]0.7[/C][C]102.568782935815[/C][C]0.495625855932656[/C][/ROW]
[ROW][C]0.71[/C][C]102.680342686368[/C][C]0.49989359287538[/C][/ROW]
[ROW][C]0.72[/C][C]102.791682174257[/C][C]0.49156989153488[/C][/ROW]
[ROW][C]0.73[/C][C]102.900306138271[/C][C]0.470030840847115[/C][/ROW]
[ROW][C]0.74[/C][C]103.003959983129[/C][C]0.437678139263317[/C][/ROW]
[ROW][C]0.75[/C][C]103.101229184255[/C][C]0.399409438267651[/C][/ROW]
[ROW][C]0.76[/C][C]103.191965248298[/C][C]0.361875590795756[/C][/ROW]
[ROW][C]0.77[/C][C]103.277437703005[/C][C]0.331835169810557[/C][/ROW]
[ROW][C]0.78[/C][C]103.360166342292[/C][C]0.315279635997082[/C][/ROW]
[ROW][C]0.79[/C][C]103.443446056763[/C][C]0.315233738686871[/C][/ROW]
[ROW][C]0.8[/C][C]103.530632394559[/C][C]0.330460652326975[/C][/ROW]
[ROW][C]0.81[/C][C]103.624310305005[/C][C]0.355514575458926[/C][/ROW]
[ROW][C]0.82[/C][C]103.725519205883[/C][C]0.38202799446546[/C][/ROW]
[ROW][C]0.83[/C][C]103.833239076205[/C][C]0.40092083909751[/C][/ROW]
[ROW][C]0.84[/C][C]103.944326135416[/C][C]0.404283841055728[/C][/ROW]
[ROW][C]0.85[/C][C]104.053999256496[/C][C]0.387450118773289[/C][/ROW]
[ROW][C]0.86[/C][C]104.156828863054[/C][C]0.350207188241025[/C][/ROW]
[ROW][C]0.87[/C][C]104.248025813296[/C][C]0.297206485740025[/C][/ROW]
[ROW][C]0.88[/C][C]104.324753282908[/C][C]0.23675203746575[/C][/ROW]
[ROW][C]0.89[/C][C]104.387245386897[/C][C]0.179154225106938[/C][/ROW]
[ROW][C]0.9[/C][C]104.439676542374[/C][C]0.136005797588595[/C][/ROW]
[ROW][C]0.91[/C][C]104.490839103423[/C][C]0.121611885346037[/C][/ROW]
[ROW][C]0.92[/C][C]104.554549701412[/C][C]0.150398098226956[/C][/ROW]
[ROW][C]0.93[/C][C]104.649164801390[/C][C]0.22484144691726[/C][/ROW]
[ROW][C]0.94[/C][C]104.794691288381[/C][C]0.335951890933125[/C][/ROW]
[ROW][C]0.95[/C][C]105.005303176440[/C][C]0.460068198336405[/C][/ROW]
[ROW][C]0.96[/C][C]105.276415608272[/C][C]0.547755302686732[/C][/ROW]
[ROW][C]0.97[/C][C]105.571752386559[/C][C]0.53083337539949[/C][/ROW]
[ROW][C]0.98[/C][C]105.826232940659[/C][C]0.372393583986199[/C][/ROW]
[ROW][C]0.99[/C][C]105.980426386588[/C][C]0.142651102499538[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46306&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
0.0199.468390783540.0153969389154068
0.0299.47871104806530.0103977922375002
0.0399.48649176873480.00813529923412169
0.0499.49234437022730.0096246720095453
0.0599.49806001385140.0134467178540208
0.0699.50470166509150.0177083922111119
0.0799.51245804387640.0211927507424487
0.0899.52096225762930.0230257599112004
0.0999.52962270489730.0231364909312611
0.199.53787094411150.0217695153242656
0.1199.54531203960850.0195287175543793
0.1299.55178862301150.0171584841702106
0.1399.55738754126360.015380545461885
0.1499.56242276236380.0150709864928138
0.1599.567415783150.0172994565022803
0.1699.57307367317880.0229088004604189
0.1799.58024881295530.0323392279691715
0.1899.58986205568210.0456096833386649
0.1999.60278277364870.0620174210519267
0.299.6196789358940.0806185980616431
0.2199.64086899967020.0995332926107779
0.2299.66621650770820.116686796140158
0.2399.69510295921690.130164987583258
0.2499.7264954779710.138387583647332
0.2599.7590993749870.140639453001339
0.2699.79156140138340.137233425653234
0.2799.82267599794610.128977942231498
0.2899.85154845753610.117724434445718
0.2999.8776840446260.105305796811409
0.399.90099450451620.093460347931161
0.3199.92173509043040.0835323526675951
0.3299.94039977634350.0764513697998688
0.3399.95760672191230.0724886782748339
0.3499.9740010524360.0714667929723469
0.3599.99019093771820.0730405073986812
0.36100.0067200430860.0767293970382573
0.37100.0240684371720.0824505661506698
0.38100.0426674710150.089980678423634
0.39100.0629130481570.0993859391090256
0.4100.0851658222230.110623132159275
0.41100.1097347961540.123293705466824
0.42100.1368502578800.136780900349558
0.43100.1666401208910.150571887003547
0.44100.1991277280110.163918355985028
0.45100.2342670092040.176472414863704
0.46100.2720220885180.188343649538589
0.47100.3124845046110.200668123401216
0.48100.3560054951360.215130578036147
0.49100.4033078353620.234189603799096
0.5100.4555361423520.260741728710459
0.51100.5142097927320.296494169383909
0.52100.5810597091460.342147631459689
0.53100.6577571073530.396235037201742
0.54100.7455733803120.455592710812335
0.55100.8450375970410.515014093407135
0.56100.9556728718170.568912767760969
0.57101.0758882885540.611320078539214
0.58101.2030769136440.63762213824185
0.59101.3339267284470.645103902099294
0.6101.4649000692310.633780417219282
0.61101.5927918548620.606560314352895
0.62101.7152504184410.568805384972208
0.63101.8311453978910.527725313790718
0.64101.9406959521370.490705691673067
0.65102.0453232954320.464186805439825
0.66102.1472526092870.452021949570117
0.67102.2489469870270.454000844706208
0.68102.3524971214110.466221375969649
0.69102.4591049968260.482515177874993
0.7102.5687829358150.495625855932656
0.71102.6803426863680.49989359287538
0.72102.7916821742570.49156989153488
0.73102.9003061382710.470030840847115
0.74103.0039599831290.437678139263317
0.75103.1012291842550.399409438267651
0.76103.1919652482980.361875590795756
0.77103.2774377030050.331835169810557
0.78103.3601663422920.315279635997082
0.79103.4434460567630.315233738686871
0.8103.5306323945590.330460652326975
0.81103.6243103050050.355514575458926
0.82103.7255192058830.38202799446546
0.83103.8332390762050.40092083909751
0.84103.9443261354160.404283841055728
0.85104.0539992564960.387450118773289
0.86104.1568288630540.350207188241025
0.87104.2480258132960.297206485740025
0.88104.3247532829080.23675203746575
0.89104.3872453868970.179154225106938
0.9104.4396765423740.136005797588595
0.91104.4908391034230.121611885346037
0.92104.5545497014120.150398098226956
0.93104.6491648013900.22484144691726
0.94104.7946912883810.335951890933125
0.95105.0053031764400.460068198336405
0.96105.2764156082720.547755302686732
0.97105.5717523865590.53083337539949
0.98105.8262329406590.372393583986199
0.99105.9804263865880.142651102499538



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')