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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 09 Oct 2011 07:39:10 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/09/t1318160423mk7jm25tosmegrp.htm/, Retrieved Sun, 19 May 2024 03:03:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127396, Retrieved Sun, 19 May 2024 03:03:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [biljet de lijn] [2011-09-26 11:22:37] [8970471211ece064523ec252a60bb336]
- R P   [Histogram] [biljet de lijn 8 ...] [2011-10-04 12:40:42] [8970471211ece064523ec252a60bb336]
- RMP       [Harrell-Davis Quantiles] [Harell-Davis Perc...] [2011-10-09 11:39:10] [6e376bb9389cce432e10fa4d58960065] [Current]
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Dataseries X:
2.2
2.28
2.28
2.28
2.28
2.27
2.28
2.27
2.28
2.28
2.28
2.28
2.27
2.28
2.28
2.28
2.27
2.28
2.27
2.27
2.27
2.27
2.27
2.27
2.27
2.35
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127396&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127396&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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.221049395774830.048643083799453
0.022.245007055081990.0250350833046188
0.032.260118729830340.00999000414454568
0.042.266833631973680.00324237121617409
0.052.269163845966240.000902956709966817
0.062.26985624260340.000315484193898792
0.072.270095774307460.000426840758507039
0.082.270289483456770.000786523754742964
0.092.270575385906540.00131759156105253
0.12.271013092973470.001982679392122
0.112.271630792959920.00270232015631657
0.122.27242943393130.00337018711465694
0.132.273382212700660.00387905662716592
0.142.274441159821360.00416515241000498
0.152.275552559850770.00424161511962179
0.162.276678536963020.00422023069135408
0.172.277820533181710.00434773799399479
0.182.279040670693750.00502068141306451
0.192.280478003499480.00671377808021733
0.22.282357302801050.00982711065134366
0.212.284987833809510.014689027466657
0.222.288749070897070.0215420909024372
0.232.294060572882850.0304769438908735
0.242.301335284262980.0413320311328427
0.252.310919502717530.0536254016259388
0.262.323027706590.0665533786329716
0.272.337684572039970.0790517236087337
0.282.354687909947570.0899437164856615
0.292.37360374048390.0981146356390896
0.32.393798477288470.102700526745037
0.312.414504817359710.103234515108747
0.322.43490992238720.0997322541097567
0.332.454249298183240.092660453341073
0.342.471888954455640.0828486172413321
0.352.487382018301420.0713280137998639
0.362.50049264810630.0591626763534299
0.372.51118770454250.0473019617734897
0.382.519603035282950.0364766270703748
0.392.525994966545660.0271502350963466
0.42.530688242206110.0195338386907875
0.412.534029730442860.0136267940859074
0.422.536353815386460.00929035558840991
0.432.537961688900620.00632373447485286
0.442.53911365988070.00455460741205177
0.452.540031560214640.00390200238672007
0.462.540907381255360.00431069670335966
0.472.541914189959210.00563972895066971
0.482.543215839038530.00779005774905463
0.492.544972752993960.0107407158408274
0.52.547342014671880.014476026039638
0.512.550471063808680.0189376054794949
0.522.554485538897530.0239767398031774
0.532.559473073737290.0293509538154098
0.542.565466018689070.0347222019507513
0.552.572426819401680.0396892785959467
0.562.580239864514220.0438222225454948
0.572.588712824776540.0467354591614485
0.582.597588878386770.0481286455228133
0.592.606569041959890.0478502224221563
0.62.615341610301360.045916252730669
0.612.623614036678370.0425141366122555
0.622.631141936519640.037970485781148
0.632.637750475538060.0327007931721732
0.642.643345059593830.0271441105979057
0.652.647910520579020.0217073641285366
0.662.651500275358330.0167164311882871
0.672.654218653141050.0123894303003432
0.682.656200390398860.008833049957743
0.692.657591138693860.00605580013866173
0.72.658531961009140.00399441613257303
0.712.65914962068260.0025436241561144
0.722.659553429721540.00159018852393094
0.732.659838835649960.00105486913039083
0.742.660097878026720.000960200035865868
0.752.66043693591610.00141923740368366
0.762.661002295581330.00255141360838204
0.772.662013195109070.00464254208469264
0.782.663799267279260.00816349448770221
0.792.666834198612920.0137017939774278
0.82.671750578968070.0218560863853613
0.812.679314900895170.0330474130460248
0.822.690341199613530.0472471831867325
0.832.705532469152440.0637089720576906
0.842.725263815053190.0807889535363452
0.852.749356339913780.0960338805079168
0.862.776922153214340.106614834387729
0.872.806367761914230.110069764965521
0.882.835608122434260.105147862804115
0.892.862467868366010.0923972271765104
0.92.885157925306170.0741619350537259
0.912.902662160232210.0539057100500188
0.922.914889368567070.035108396346499
0.932.922541817755960.0202107943153035
0.942.926775557680470.0101024661454967
0.952.928809898602630.00427854499336731
0.962.929638542232470.00148162664438923
0.972.92991473813920.000396419393973577
0.982.929985951422557.40080569155846e-05
0.992.929998757718097.32753038768164e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.22104939577483 & 0.048643083799453 \tabularnewline
0.02 & 2.24500705508199 & 0.0250350833046188 \tabularnewline
0.03 & 2.26011872983034 & 0.00999000414454568 \tabularnewline
0.04 & 2.26683363197368 & 0.00324237121617409 \tabularnewline
0.05 & 2.26916384596624 & 0.000902956709966817 \tabularnewline
0.06 & 2.2698562426034 & 0.000315484193898792 \tabularnewline
0.07 & 2.27009577430746 & 0.000426840758507039 \tabularnewline
0.08 & 2.27028948345677 & 0.000786523754742964 \tabularnewline
0.09 & 2.27057538590654 & 0.00131759156105253 \tabularnewline
0.1 & 2.27101309297347 & 0.001982679392122 \tabularnewline
0.11 & 2.27163079295992 & 0.00270232015631657 \tabularnewline
0.12 & 2.2724294339313 & 0.00337018711465694 \tabularnewline
0.13 & 2.27338221270066 & 0.00387905662716592 \tabularnewline
0.14 & 2.27444115982136 & 0.00416515241000498 \tabularnewline
0.15 & 2.27555255985077 & 0.00424161511962179 \tabularnewline
0.16 & 2.27667853696302 & 0.00422023069135408 \tabularnewline
0.17 & 2.27782053318171 & 0.00434773799399479 \tabularnewline
0.18 & 2.27904067069375 & 0.00502068141306451 \tabularnewline
0.19 & 2.28047800349948 & 0.00671377808021733 \tabularnewline
0.2 & 2.28235730280105 & 0.00982711065134366 \tabularnewline
0.21 & 2.28498783380951 & 0.014689027466657 \tabularnewline
0.22 & 2.28874907089707 & 0.0215420909024372 \tabularnewline
0.23 & 2.29406057288285 & 0.0304769438908735 \tabularnewline
0.24 & 2.30133528426298 & 0.0413320311328427 \tabularnewline
0.25 & 2.31091950271753 & 0.0536254016259388 \tabularnewline
0.26 & 2.32302770659 & 0.0665533786329716 \tabularnewline
0.27 & 2.33768457203997 & 0.0790517236087337 \tabularnewline
0.28 & 2.35468790994757 & 0.0899437164856615 \tabularnewline
0.29 & 2.3736037404839 & 0.0981146356390896 \tabularnewline
0.3 & 2.39379847728847 & 0.102700526745037 \tabularnewline
0.31 & 2.41450481735971 & 0.103234515108747 \tabularnewline
0.32 & 2.4349099223872 & 0.0997322541097567 \tabularnewline
0.33 & 2.45424929818324 & 0.092660453341073 \tabularnewline
0.34 & 2.47188895445564 & 0.0828486172413321 \tabularnewline
0.35 & 2.48738201830142 & 0.0713280137998639 \tabularnewline
0.36 & 2.5004926481063 & 0.0591626763534299 \tabularnewline
0.37 & 2.5111877045425 & 0.0473019617734897 \tabularnewline
0.38 & 2.51960303528295 & 0.0364766270703748 \tabularnewline
0.39 & 2.52599496654566 & 0.0271502350963466 \tabularnewline
0.4 & 2.53068824220611 & 0.0195338386907875 \tabularnewline
0.41 & 2.53402973044286 & 0.0136267940859074 \tabularnewline
0.42 & 2.53635381538646 & 0.00929035558840991 \tabularnewline
0.43 & 2.53796168890062 & 0.00632373447485286 \tabularnewline
0.44 & 2.5391136598807 & 0.00455460741205177 \tabularnewline
0.45 & 2.54003156021464 & 0.00390200238672007 \tabularnewline
0.46 & 2.54090738125536 & 0.00431069670335966 \tabularnewline
0.47 & 2.54191418995921 & 0.00563972895066971 \tabularnewline
0.48 & 2.54321583903853 & 0.00779005774905463 \tabularnewline
0.49 & 2.54497275299396 & 0.0107407158408274 \tabularnewline
0.5 & 2.54734201467188 & 0.014476026039638 \tabularnewline
0.51 & 2.55047106380868 & 0.0189376054794949 \tabularnewline
0.52 & 2.55448553889753 & 0.0239767398031774 \tabularnewline
0.53 & 2.55947307373729 & 0.0293509538154098 \tabularnewline
0.54 & 2.56546601868907 & 0.0347222019507513 \tabularnewline
0.55 & 2.57242681940168 & 0.0396892785959467 \tabularnewline
0.56 & 2.58023986451422 & 0.0438222225454948 \tabularnewline
0.57 & 2.58871282477654 & 0.0467354591614485 \tabularnewline
0.58 & 2.59758887838677 & 0.0481286455228133 \tabularnewline
0.59 & 2.60656904195989 & 0.0478502224221563 \tabularnewline
0.6 & 2.61534161030136 & 0.045916252730669 \tabularnewline
0.61 & 2.62361403667837 & 0.0425141366122555 \tabularnewline
0.62 & 2.63114193651964 & 0.037970485781148 \tabularnewline
0.63 & 2.63775047553806 & 0.0327007931721732 \tabularnewline
0.64 & 2.64334505959383 & 0.0271441105979057 \tabularnewline
0.65 & 2.64791052057902 & 0.0217073641285366 \tabularnewline
0.66 & 2.65150027535833 & 0.0167164311882871 \tabularnewline
0.67 & 2.65421865314105 & 0.0123894303003432 \tabularnewline
0.68 & 2.65620039039886 & 0.008833049957743 \tabularnewline
0.69 & 2.65759113869386 & 0.00605580013866173 \tabularnewline
0.7 & 2.65853196100914 & 0.00399441613257303 \tabularnewline
0.71 & 2.6591496206826 & 0.0025436241561144 \tabularnewline
0.72 & 2.65955342972154 & 0.00159018852393094 \tabularnewline
0.73 & 2.65983883564996 & 0.00105486913039083 \tabularnewline
0.74 & 2.66009787802672 & 0.000960200035865868 \tabularnewline
0.75 & 2.6604369359161 & 0.00141923740368366 \tabularnewline
0.76 & 2.66100229558133 & 0.00255141360838204 \tabularnewline
0.77 & 2.66201319510907 & 0.00464254208469264 \tabularnewline
0.78 & 2.66379926727926 & 0.00816349448770221 \tabularnewline
0.79 & 2.66683419861292 & 0.0137017939774278 \tabularnewline
0.8 & 2.67175057896807 & 0.0218560863853613 \tabularnewline
0.81 & 2.67931490089517 & 0.0330474130460248 \tabularnewline
0.82 & 2.69034119961353 & 0.0472471831867325 \tabularnewline
0.83 & 2.70553246915244 & 0.0637089720576906 \tabularnewline
0.84 & 2.72526381505319 & 0.0807889535363452 \tabularnewline
0.85 & 2.74935633991378 & 0.0960338805079168 \tabularnewline
0.86 & 2.77692215321434 & 0.106614834387729 \tabularnewline
0.87 & 2.80636776191423 & 0.110069764965521 \tabularnewline
0.88 & 2.83560812243426 & 0.105147862804115 \tabularnewline
0.89 & 2.86246786836601 & 0.0923972271765104 \tabularnewline
0.9 & 2.88515792530617 & 0.0741619350537259 \tabularnewline
0.91 & 2.90266216023221 & 0.0539057100500188 \tabularnewline
0.92 & 2.91488936856707 & 0.035108396346499 \tabularnewline
0.93 & 2.92254181775596 & 0.0202107943153035 \tabularnewline
0.94 & 2.92677555768047 & 0.0101024661454967 \tabularnewline
0.95 & 2.92880989860263 & 0.00427854499336731 \tabularnewline
0.96 & 2.92963854223247 & 0.00148162664438923 \tabularnewline
0.97 & 2.9299147381392 & 0.000396419393973577 \tabularnewline
0.98 & 2.92998595142255 & 7.40080569155846e-05 \tabularnewline
0.99 & 2.92999875771809 & 7.32753038768164e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127396&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]2.22104939577483[/C][C]0.048643083799453[/C][/ROW]
[ROW][C]0.02[/C][C]2.24500705508199[/C][C]0.0250350833046188[/C][/ROW]
[ROW][C]0.03[/C][C]2.26011872983034[/C][C]0.00999000414454568[/C][/ROW]
[ROW][C]0.04[/C][C]2.26683363197368[/C][C]0.00324237121617409[/C][/ROW]
[ROW][C]0.05[/C][C]2.26916384596624[/C][C]0.000902956709966817[/C][/ROW]
[ROW][C]0.06[/C][C]2.2698562426034[/C][C]0.000315484193898792[/C][/ROW]
[ROW][C]0.07[/C][C]2.27009577430746[/C][C]0.000426840758507039[/C][/ROW]
[ROW][C]0.08[/C][C]2.27028948345677[/C][C]0.000786523754742964[/C][/ROW]
[ROW][C]0.09[/C][C]2.27057538590654[/C][C]0.00131759156105253[/C][/ROW]
[ROW][C]0.1[/C][C]2.27101309297347[/C][C]0.001982679392122[/C][/ROW]
[ROW][C]0.11[/C][C]2.27163079295992[/C][C]0.00270232015631657[/C][/ROW]
[ROW][C]0.12[/C][C]2.2724294339313[/C][C]0.00337018711465694[/C][/ROW]
[ROW][C]0.13[/C][C]2.27338221270066[/C][C]0.00387905662716592[/C][/ROW]
[ROW][C]0.14[/C][C]2.27444115982136[/C][C]0.00416515241000498[/C][/ROW]
[ROW][C]0.15[/C][C]2.27555255985077[/C][C]0.00424161511962179[/C][/ROW]
[ROW][C]0.16[/C][C]2.27667853696302[/C][C]0.00422023069135408[/C][/ROW]
[ROW][C]0.17[/C][C]2.27782053318171[/C][C]0.00434773799399479[/C][/ROW]
[ROW][C]0.18[/C][C]2.27904067069375[/C][C]0.00502068141306451[/C][/ROW]
[ROW][C]0.19[/C][C]2.28047800349948[/C][C]0.00671377808021733[/C][/ROW]
[ROW][C]0.2[/C][C]2.28235730280105[/C][C]0.00982711065134366[/C][/ROW]
[ROW][C]0.21[/C][C]2.28498783380951[/C][C]0.014689027466657[/C][/ROW]
[ROW][C]0.22[/C][C]2.28874907089707[/C][C]0.0215420909024372[/C][/ROW]
[ROW][C]0.23[/C][C]2.29406057288285[/C][C]0.0304769438908735[/C][/ROW]
[ROW][C]0.24[/C][C]2.30133528426298[/C][C]0.0413320311328427[/C][/ROW]
[ROW][C]0.25[/C][C]2.31091950271753[/C][C]0.0536254016259388[/C][/ROW]
[ROW][C]0.26[/C][C]2.32302770659[/C][C]0.0665533786329716[/C][/ROW]
[ROW][C]0.27[/C][C]2.33768457203997[/C][C]0.0790517236087337[/C][/ROW]
[ROW][C]0.28[/C][C]2.35468790994757[/C][C]0.0899437164856615[/C][/ROW]
[ROW][C]0.29[/C][C]2.3736037404839[/C][C]0.0981146356390896[/C][/ROW]
[ROW][C]0.3[/C][C]2.39379847728847[/C][C]0.102700526745037[/C][/ROW]
[ROW][C]0.31[/C][C]2.41450481735971[/C][C]0.103234515108747[/C][/ROW]
[ROW][C]0.32[/C][C]2.4349099223872[/C][C]0.0997322541097567[/C][/ROW]
[ROW][C]0.33[/C][C]2.45424929818324[/C][C]0.092660453341073[/C][/ROW]
[ROW][C]0.34[/C][C]2.47188895445564[/C][C]0.0828486172413321[/C][/ROW]
[ROW][C]0.35[/C][C]2.48738201830142[/C][C]0.0713280137998639[/C][/ROW]
[ROW][C]0.36[/C][C]2.5004926481063[/C][C]0.0591626763534299[/C][/ROW]
[ROW][C]0.37[/C][C]2.5111877045425[/C][C]0.0473019617734897[/C][/ROW]
[ROW][C]0.38[/C][C]2.51960303528295[/C][C]0.0364766270703748[/C][/ROW]
[ROW][C]0.39[/C][C]2.52599496654566[/C][C]0.0271502350963466[/C][/ROW]
[ROW][C]0.4[/C][C]2.53068824220611[/C][C]0.0195338386907875[/C][/ROW]
[ROW][C]0.41[/C][C]2.53402973044286[/C][C]0.0136267940859074[/C][/ROW]
[ROW][C]0.42[/C][C]2.53635381538646[/C][C]0.00929035558840991[/C][/ROW]
[ROW][C]0.43[/C][C]2.53796168890062[/C][C]0.00632373447485286[/C][/ROW]
[ROW][C]0.44[/C][C]2.5391136598807[/C][C]0.00455460741205177[/C][/ROW]
[ROW][C]0.45[/C][C]2.54003156021464[/C][C]0.00390200238672007[/C][/ROW]
[ROW][C]0.46[/C][C]2.54090738125536[/C][C]0.00431069670335966[/C][/ROW]
[ROW][C]0.47[/C][C]2.54191418995921[/C][C]0.00563972895066971[/C][/ROW]
[ROW][C]0.48[/C][C]2.54321583903853[/C][C]0.00779005774905463[/C][/ROW]
[ROW][C]0.49[/C][C]2.54497275299396[/C][C]0.0107407158408274[/C][/ROW]
[ROW][C]0.5[/C][C]2.54734201467188[/C][C]0.014476026039638[/C][/ROW]
[ROW][C]0.51[/C][C]2.55047106380868[/C][C]0.0189376054794949[/C][/ROW]
[ROW][C]0.52[/C][C]2.55448553889753[/C][C]0.0239767398031774[/C][/ROW]
[ROW][C]0.53[/C][C]2.55947307373729[/C][C]0.0293509538154098[/C][/ROW]
[ROW][C]0.54[/C][C]2.56546601868907[/C][C]0.0347222019507513[/C][/ROW]
[ROW][C]0.55[/C][C]2.57242681940168[/C][C]0.0396892785959467[/C][/ROW]
[ROW][C]0.56[/C][C]2.58023986451422[/C][C]0.0438222225454948[/C][/ROW]
[ROW][C]0.57[/C][C]2.58871282477654[/C][C]0.0467354591614485[/C][/ROW]
[ROW][C]0.58[/C][C]2.59758887838677[/C][C]0.0481286455228133[/C][/ROW]
[ROW][C]0.59[/C][C]2.60656904195989[/C][C]0.0478502224221563[/C][/ROW]
[ROW][C]0.6[/C][C]2.61534161030136[/C][C]0.045916252730669[/C][/ROW]
[ROW][C]0.61[/C][C]2.62361403667837[/C][C]0.0425141366122555[/C][/ROW]
[ROW][C]0.62[/C][C]2.63114193651964[/C][C]0.037970485781148[/C][/ROW]
[ROW][C]0.63[/C][C]2.63775047553806[/C][C]0.0327007931721732[/C][/ROW]
[ROW][C]0.64[/C][C]2.64334505959383[/C][C]0.0271441105979057[/C][/ROW]
[ROW][C]0.65[/C][C]2.64791052057902[/C][C]0.0217073641285366[/C][/ROW]
[ROW][C]0.66[/C][C]2.65150027535833[/C][C]0.0167164311882871[/C][/ROW]
[ROW][C]0.67[/C][C]2.65421865314105[/C][C]0.0123894303003432[/C][/ROW]
[ROW][C]0.68[/C][C]2.65620039039886[/C][C]0.008833049957743[/C][/ROW]
[ROW][C]0.69[/C][C]2.65759113869386[/C][C]0.00605580013866173[/C][/ROW]
[ROW][C]0.7[/C][C]2.65853196100914[/C][C]0.00399441613257303[/C][/ROW]
[ROW][C]0.71[/C][C]2.6591496206826[/C][C]0.0025436241561144[/C][/ROW]
[ROW][C]0.72[/C][C]2.65955342972154[/C][C]0.00159018852393094[/C][/ROW]
[ROW][C]0.73[/C][C]2.65983883564996[/C][C]0.00105486913039083[/C][/ROW]
[ROW][C]0.74[/C][C]2.66009787802672[/C][C]0.000960200035865868[/C][/ROW]
[ROW][C]0.75[/C][C]2.6604369359161[/C][C]0.00141923740368366[/C][/ROW]
[ROW][C]0.76[/C][C]2.66100229558133[/C][C]0.00255141360838204[/C][/ROW]
[ROW][C]0.77[/C][C]2.66201319510907[/C][C]0.00464254208469264[/C][/ROW]
[ROW][C]0.78[/C][C]2.66379926727926[/C][C]0.00816349448770221[/C][/ROW]
[ROW][C]0.79[/C][C]2.66683419861292[/C][C]0.0137017939774278[/C][/ROW]
[ROW][C]0.8[/C][C]2.67175057896807[/C][C]0.0218560863853613[/C][/ROW]
[ROW][C]0.81[/C][C]2.67931490089517[/C][C]0.0330474130460248[/C][/ROW]
[ROW][C]0.82[/C][C]2.69034119961353[/C][C]0.0472471831867325[/C][/ROW]
[ROW][C]0.83[/C][C]2.70553246915244[/C][C]0.0637089720576906[/C][/ROW]
[ROW][C]0.84[/C][C]2.72526381505319[/C][C]0.0807889535363452[/C][/ROW]
[ROW][C]0.85[/C][C]2.74935633991378[/C][C]0.0960338805079168[/C][/ROW]
[ROW][C]0.86[/C][C]2.77692215321434[/C][C]0.106614834387729[/C][/ROW]
[ROW][C]0.87[/C][C]2.80636776191423[/C][C]0.110069764965521[/C][/ROW]
[ROW][C]0.88[/C][C]2.83560812243426[/C][C]0.105147862804115[/C][/ROW]
[ROW][C]0.89[/C][C]2.86246786836601[/C][C]0.0923972271765104[/C][/ROW]
[ROW][C]0.9[/C][C]2.88515792530617[/C][C]0.0741619350537259[/C][/ROW]
[ROW][C]0.91[/C][C]2.90266216023221[/C][C]0.0539057100500188[/C][/ROW]
[ROW][C]0.92[/C][C]2.91488936856707[/C][C]0.035108396346499[/C][/ROW]
[ROW][C]0.93[/C][C]2.92254181775596[/C][C]0.0202107943153035[/C][/ROW]
[ROW][C]0.94[/C][C]2.92677555768047[/C][C]0.0101024661454967[/C][/ROW]
[ROW][C]0.95[/C][C]2.92880989860263[/C][C]0.00427854499336731[/C][/ROW]
[ROW][C]0.96[/C][C]2.92963854223247[/C][C]0.00148162664438923[/C][/ROW]
[ROW][C]0.97[/C][C]2.9299147381392[/C][C]0.000396419393973577[/C][/ROW]
[ROW][C]0.98[/C][C]2.92998595142255[/C][C]7.40080569155846e-05[/C][/ROW]
[ROW][C]0.99[/C][C]2.92999875771809[/C][C]7.32753038768164e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127396&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127396&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
0.012.221049395774830.048643083799453
0.022.245007055081990.0250350833046188
0.032.260118729830340.00999000414454568
0.042.266833631973680.00324237121617409
0.052.269163845966240.000902956709966817
0.062.26985624260340.000315484193898792
0.072.270095774307460.000426840758507039
0.082.270289483456770.000786523754742964
0.092.270575385906540.00131759156105253
0.12.271013092973470.001982679392122
0.112.271630792959920.00270232015631657
0.122.27242943393130.00337018711465694
0.132.273382212700660.00387905662716592
0.142.274441159821360.00416515241000498
0.152.275552559850770.00424161511962179
0.162.276678536963020.00422023069135408
0.172.277820533181710.00434773799399479
0.182.279040670693750.00502068141306451
0.192.280478003499480.00671377808021733
0.22.282357302801050.00982711065134366
0.212.284987833809510.014689027466657
0.222.288749070897070.0215420909024372
0.232.294060572882850.0304769438908735
0.242.301335284262980.0413320311328427
0.252.310919502717530.0536254016259388
0.262.323027706590.0665533786329716
0.272.337684572039970.0790517236087337
0.282.354687909947570.0899437164856615
0.292.37360374048390.0981146356390896
0.32.393798477288470.102700526745037
0.312.414504817359710.103234515108747
0.322.43490992238720.0997322541097567
0.332.454249298183240.092660453341073
0.342.471888954455640.0828486172413321
0.352.487382018301420.0713280137998639
0.362.50049264810630.0591626763534299
0.372.51118770454250.0473019617734897
0.382.519603035282950.0364766270703748
0.392.525994966545660.0271502350963466
0.42.530688242206110.0195338386907875
0.412.534029730442860.0136267940859074
0.422.536353815386460.00929035558840991
0.432.537961688900620.00632373447485286
0.442.53911365988070.00455460741205177
0.452.540031560214640.00390200238672007
0.462.540907381255360.00431069670335966
0.472.541914189959210.00563972895066971
0.482.543215839038530.00779005774905463
0.492.544972752993960.0107407158408274
0.52.547342014671880.014476026039638
0.512.550471063808680.0189376054794949
0.522.554485538897530.0239767398031774
0.532.559473073737290.0293509538154098
0.542.565466018689070.0347222019507513
0.552.572426819401680.0396892785959467
0.562.580239864514220.0438222225454948
0.572.588712824776540.0467354591614485
0.582.597588878386770.0481286455228133
0.592.606569041959890.0478502224221563
0.62.615341610301360.045916252730669
0.612.623614036678370.0425141366122555
0.622.631141936519640.037970485781148
0.632.637750475538060.0327007931721732
0.642.643345059593830.0271441105979057
0.652.647910520579020.0217073641285366
0.662.651500275358330.0167164311882871
0.672.654218653141050.0123894303003432
0.682.656200390398860.008833049957743
0.692.657591138693860.00605580013866173
0.72.658531961009140.00399441613257303
0.712.65914962068260.0025436241561144
0.722.659553429721540.00159018852393094
0.732.659838835649960.00105486913039083
0.742.660097878026720.000960200035865868
0.752.66043693591610.00141923740368366
0.762.661002295581330.00255141360838204
0.772.662013195109070.00464254208469264
0.782.663799267279260.00816349448770221
0.792.666834198612920.0137017939774278
0.82.671750578968070.0218560863853613
0.812.679314900895170.0330474130460248
0.822.690341199613530.0472471831867325
0.832.705532469152440.0637089720576906
0.842.725263815053190.0807889535363452
0.852.749356339913780.0960338805079168
0.862.776922153214340.106614834387729
0.872.806367761914230.110069764965521
0.882.835608122434260.105147862804115
0.892.862467868366010.0923972271765104
0.92.885157925306170.0741619350537259
0.912.902662160232210.0539057100500188
0.922.914889368567070.035108396346499
0.932.922541817755960.0202107943153035
0.942.926775557680470.0101024661454967
0.952.928809898602630.00427854499336731
0.962.929638542232470.00148162664438923
0.972.92991473813920.000396419393973577
0.982.929985951422557.40080569155846e-05
0.992.929998757718097.32753038768164e-06



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')