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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 08 Oct 2015 19:32:02 +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/2015/Oct/08/t14443291889dit8b2kp2cvs5g.htm/, Retrieved Sat, 18 May 2024 19:21:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281631, Retrieved Sat, 18 May 2024 19:21:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2015-10-08 18:25:25] [ae29a80d97dbf7fdde7336bcf9526e8b]
- R P     [Harrell-Davis Quantiles] [] [2015-10-08 18:32:02] [935c69a10ec4a64678755fcf1ddf3064] [Current]
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Dataseries X:
0.62
0.7
1.65
1.79
2.28
2.46
2.57
2.32
2.91
3.01
2.87
3.11
3.22
3.38
3.52
3.41
3.35
3.68
3.75
3.6
3.56
3.57
3.85
3.48
3.65
3.66
3.36
3.19
2.81
2.25
2.32
2.85
2.75
2.78
2.26
2.23
1.46
1.19
1.11
1
1.18
1.59
1.51
1.01
0.9
0.63
0.81
0.97
1.14
0.97
0.89
0.62
0.36
0.27
0.34
0.02
-0.12
0.09
-0.11
-0.38




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281631&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281631&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281631&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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.3246786142783470.213921094922078
0.02-0.2462727093795320.165208716706609
0.03-0.1668300034952790.135975951752803
0.04-0.09539296915575080.134350537186546
0.05-0.03108524377571440.148968565012575
0.060.02985694136385850.167139036789921
0.070.09012295743164750.182829453680268
0.080.150592829550760.19425218004869
0.090.2109780862547630.201462764936327
0.10.2705628182147110.205142999491341
0.110.3286390219391460.206023064202355
0.120.384669751251480.204682085846093
0.130.4383099783247070.201574101497295
0.140.4893787888659230.197143341479889
0.150.5378248659215820.191882404276322
0.160.5836954411051510.186294439565917
0.170.627107186893780.180779667589748
0.180.6682174983186360.175544169589356
0.190.707198433157260.170592378063421
0.20.7442182012566330.165809018935795
0.210.7794345442075170.161087758372393
0.220.813001153961670.156449517245442
0.230.8450842915831210.152102898428636
0.240.8758838591573370.148441226633371
0.250.9056523731041130.145990444030022
0.260.9347065408691330.145320560339709
0.270.9634286515028650.146955626372814
0.280.9922577149777350.151284765159799
0.291.021672395684670.158517385139746
0.31.052168879884460.168671836883511
0.311.084236911065680.181600961304407
0.321.118336609986840.197025693823109
0.331.154877750397710.214573097528028
0.341.194202225578710.233792464194939
0.351.236569739824810.254172949217156
0.361.282146395015850.275156682621653
0.371.330995819812140.296146924173104
0.381.383072746657640.31650925460589
0.391.438219376881260.335587854167266
0.41.49616535526710.352715448113717
0.411.556532551977180.367244537308519
0.421.61884596883230.37858619545837
0.431.682551823289950.386256259214984
0.441.747043158347940.389930801087656
0.451.811692224761170.389499852337158
0.461.875887548784510.385097302432623
0.471.939072304636120.377128779939573
0.482.000779679362230.366248749154538
0.492.060660645524020.353308967614056
0.52.118500128455080.339280316102664
0.512.174218975439480.325143127952914
0.522.227861206742650.311772801482755
0.532.279568381292210.299816417460001
0.542.329545073948370.289616089955575
0.552.378020977303810.281190255100693
0.562.425215668173910.27426421629441
0.572.471311478780470.268362146647532
0.582.516438284797440.26294473076657
0.592.560671685607650.257528172272485
0.62.60404347465860.251782073201251
0.612.646560995680920.245592583245909
0.622.688230406924410.239054255328267
0.632.729078326943870.232443424731134
0.642.769166894172140.22614753935314
0.652.808598796667670.220558918412324
0.662.847510989072530.215988490066513
0.672.886058169040780.212566217993276
0.682.924389173474830.210215601960156
0.692.962620885607910.208634479376694
0.73.000814768804960.207367318316945
0.713.038960691598590.205866509136709
0.723.076971387880070.203604247810672
0.733.114688958340380.200141192293021
0.743.151902610446650.195196833375565
0.753.188374739446460.18869145088476
0.763.223870845166220.180737250940427
0.773.258187974902110.171624166499128
0.783.291176595417850.161766780352907
0.793.322752085770730.151629162974944
0.83.352894253472210.141646255701838
0.813.381636001307230.132142273233985
0.823.409044863077520.123286476284879
0.833.435202810395030.115081348662736
0.843.460189848453170.10740240075487
0.853.484075245122920.10008716740088
0.863.5069172963130.0930093153180592
0.873.528769673518650.086134726224483
0.883.549691469835080.0795134660073015
0.893.569760516524250.0732294466755558
0.93.589095224410390.0673523362694314
0.913.607896356340570.0619407150651134
0.923.626521530904080.0571776757178835
0.933.645595546300230.0535933204302702
0.943.666131598229070.0521994728999065
0.953.689579339222380.054150864407892
0.963.717604018736130.0598694819912755
0.973.751250899203460.0686370036197391
0.983.78918151460650.0792736177354063
0.993.825514462473410.0902515311958439

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.324678614278347 & 0.213921094922078 \tabularnewline
0.02 & -0.246272709379532 & 0.165208716706609 \tabularnewline
0.03 & -0.166830003495279 & 0.135975951752803 \tabularnewline
0.04 & -0.0953929691557508 & 0.134350537186546 \tabularnewline
0.05 & -0.0310852437757144 & 0.148968565012575 \tabularnewline
0.06 & 0.0298569413638585 & 0.167139036789921 \tabularnewline
0.07 & 0.0901229574316475 & 0.182829453680268 \tabularnewline
0.08 & 0.15059282955076 & 0.19425218004869 \tabularnewline
0.09 & 0.210978086254763 & 0.201462764936327 \tabularnewline
0.1 & 0.270562818214711 & 0.205142999491341 \tabularnewline
0.11 & 0.328639021939146 & 0.206023064202355 \tabularnewline
0.12 & 0.38466975125148 & 0.204682085846093 \tabularnewline
0.13 & 0.438309978324707 & 0.201574101497295 \tabularnewline
0.14 & 0.489378788865923 & 0.197143341479889 \tabularnewline
0.15 & 0.537824865921582 & 0.191882404276322 \tabularnewline
0.16 & 0.583695441105151 & 0.186294439565917 \tabularnewline
0.17 & 0.62710718689378 & 0.180779667589748 \tabularnewline
0.18 & 0.668217498318636 & 0.175544169589356 \tabularnewline
0.19 & 0.70719843315726 & 0.170592378063421 \tabularnewline
0.2 & 0.744218201256633 & 0.165809018935795 \tabularnewline
0.21 & 0.779434544207517 & 0.161087758372393 \tabularnewline
0.22 & 0.81300115396167 & 0.156449517245442 \tabularnewline
0.23 & 0.845084291583121 & 0.152102898428636 \tabularnewline
0.24 & 0.875883859157337 & 0.148441226633371 \tabularnewline
0.25 & 0.905652373104113 & 0.145990444030022 \tabularnewline
0.26 & 0.934706540869133 & 0.145320560339709 \tabularnewline
0.27 & 0.963428651502865 & 0.146955626372814 \tabularnewline
0.28 & 0.992257714977735 & 0.151284765159799 \tabularnewline
0.29 & 1.02167239568467 & 0.158517385139746 \tabularnewline
0.3 & 1.05216887988446 & 0.168671836883511 \tabularnewline
0.31 & 1.08423691106568 & 0.181600961304407 \tabularnewline
0.32 & 1.11833660998684 & 0.197025693823109 \tabularnewline
0.33 & 1.15487775039771 & 0.214573097528028 \tabularnewline
0.34 & 1.19420222557871 & 0.233792464194939 \tabularnewline
0.35 & 1.23656973982481 & 0.254172949217156 \tabularnewline
0.36 & 1.28214639501585 & 0.275156682621653 \tabularnewline
0.37 & 1.33099581981214 & 0.296146924173104 \tabularnewline
0.38 & 1.38307274665764 & 0.31650925460589 \tabularnewline
0.39 & 1.43821937688126 & 0.335587854167266 \tabularnewline
0.4 & 1.4961653552671 & 0.352715448113717 \tabularnewline
0.41 & 1.55653255197718 & 0.367244537308519 \tabularnewline
0.42 & 1.6188459688323 & 0.37858619545837 \tabularnewline
0.43 & 1.68255182328995 & 0.386256259214984 \tabularnewline
0.44 & 1.74704315834794 & 0.389930801087656 \tabularnewline
0.45 & 1.81169222476117 & 0.389499852337158 \tabularnewline
0.46 & 1.87588754878451 & 0.385097302432623 \tabularnewline
0.47 & 1.93907230463612 & 0.377128779939573 \tabularnewline
0.48 & 2.00077967936223 & 0.366248749154538 \tabularnewline
0.49 & 2.06066064552402 & 0.353308967614056 \tabularnewline
0.5 & 2.11850012845508 & 0.339280316102664 \tabularnewline
0.51 & 2.17421897543948 & 0.325143127952914 \tabularnewline
0.52 & 2.22786120674265 & 0.311772801482755 \tabularnewline
0.53 & 2.27956838129221 & 0.299816417460001 \tabularnewline
0.54 & 2.32954507394837 & 0.289616089955575 \tabularnewline
0.55 & 2.37802097730381 & 0.281190255100693 \tabularnewline
0.56 & 2.42521566817391 & 0.27426421629441 \tabularnewline
0.57 & 2.47131147878047 & 0.268362146647532 \tabularnewline
0.58 & 2.51643828479744 & 0.26294473076657 \tabularnewline
0.59 & 2.56067168560765 & 0.257528172272485 \tabularnewline
0.6 & 2.6040434746586 & 0.251782073201251 \tabularnewline
0.61 & 2.64656099568092 & 0.245592583245909 \tabularnewline
0.62 & 2.68823040692441 & 0.239054255328267 \tabularnewline
0.63 & 2.72907832694387 & 0.232443424731134 \tabularnewline
0.64 & 2.76916689417214 & 0.22614753935314 \tabularnewline
0.65 & 2.80859879666767 & 0.220558918412324 \tabularnewline
0.66 & 2.84751098907253 & 0.215988490066513 \tabularnewline
0.67 & 2.88605816904078 & 0.212566217993276 \tabularnewline
0.68 & 2.92438917347483 & 0.210215601960156 \tabularnewline
0.69 & 2.96262088560791 & 0.208634479376694 \tabularnewline
0.7 & 3.00081476880496 & 0.207367318316945 \tabularnewline
0.71 & 3.03896069159859 & 0.205866509136709 \tabularnewline
0.72 & 3.07697138788007 & 0.203604247810672 \tabularnewline
0.73 & 3.11468895834038 & 0.200141192293021 \tabularnewline
0.74 & 3.15190261044665 & 0.195196833375565 \tabularnewline
0.75 & 3.18837473944646 & 0.18869145088476 \tabularnewline
0.76 & 3.22387084516622 & 0.180737250940427 \tabularnewline
0.77 & 3.25818797490211 & 0.171624166499128 \tabularnewline
0.78 & 3.29117659541785 & 0.161766780352907 \tabularnewline
0.79 & 3.32275208577073 & 0.151629162974944 \tabularnewline
0.8 & 3.35289425347221 & 0.141646255701838 \tabularnewline
0.81 & 3.38163600130723 & 0.132142273233985 \tabularnewline
0.82 & 3.40904486307752 & 0.123286476284879 \tabularnewline
0.83 & 3.43520281039503 & 0.115081348662736 \tabularnewline
0.84 & 3.46018984845317 & 0.10740240075487 \tabularnewline
0.85 & 3.48407524512292 & 0.10008716740088 \tabularnewline
0.86 & 3.506917296313 & 0.0930093153180592 \tabularnewline
0.87 & 3.52876967351865 & 0.086134726224483 \tabularnewline
0.88 & 3.54969146983508 & 0.0795134660073015 \tabularnewline
0.89 & 3.56976051652425 & 0.0732294466755558 \tabularnewline
0.9 & 3.58909522441039 & 0.0673523362694314 \tabularnewline
0.91 & 3.60789635634057 & 0.0619407150651134 \tabularnewline
0.92 & 3.62652153090408 & 0.0571776757178835 \tabularnewline
0.93 & 3.64559554630023 & 0.0535933204302702 \tabularnewline
0.94 & 3.66613159822907 & 0.0521994728999065 \tabularnewline
0.95 & 3.68957933922238 & 0.054150864407892 \tabularnewline
0.96 & 3.71760401873613 & 0.0598694819912755 \tabularnewline
0.97 & 3.75125089920346 & 0.0686370036197391 \tabularnewline
0.98 & 3.7891815146065 & 0.0792736177354063 \tabularnewline
0.99 & 3.82551446247341 & 0.0902515311958439 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281631&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]-0.324678614278347[/C][C]0.213921094922078[/C][/ROW]
[ROW][C]0.02[/C][C]-0.246272709379532[/C][C]0.165208716706609[/C][/ROW]
[ROW][C]0.03[/C][C]-0.166830003495279[/C][C]0.135975951752803[/C][/ROW]
[ROW][C]0.04[/C][C]-0.0953929691557508[/C][C]0.134350537186546[/C][/ROW]
[ROW][C]0.05[/C][C]-0.0310852437757144[/C][C]0.148968565012575[/C][/ROW]
[ROW][C]0.06[/C][C]0.0298569413638585[/C][C]0.167139036789921[/C][/ROW]
[ROW][C]0.07[/C][C]0.0901229574316475[/C][C]0.182829453680268[/C][/ROW]
[ROW][C]0.08[/C][C]0.15059282955076[/C][C]0.19425218004869[/C][/ROW]
[ROW][C]0.09[/C][C]0.210978086254763[/C][C]0.201462764936327[/C][/ROW]
[ROW][C]0.1[/C][C]0.270562818214711[/C][C]0.205142999491341[/C][/ROW]
[ROW][C]0.11[/C][C]0.328639021939146[/C][C]0.206023064202355[/C][/ROW]
[ROW][C]0.12[/C][C]0.38466975125148[/C][C]0.204682085846093[/C][/ROW]
[ROW][C]0.13[/C][C]0.438309978324707[/C][C]0.201574101497295[/C][/ROW]
[ROW][C]0.14[/C][C]0.489378788865923[/C][C]0.197143341479889[/C][/ROW]
[ROW][C]0.15[/C][C]0.537824865921582[/C][C]0.191882404276322[/C][/ROW]
[ROW][C]0.16[/C][C]0.583695441105151[/C][C]0.186294439565917[/C][/ROW]
[ROW][C]0.17[/C][C]0.62710718689378[/C][C]0.180779667589748[/C][/ROW]
[ROW][C]0.18[/C][C]0.668217498318636[/C][C]0.175544169589356[/C][/ROW]
[ROW][C]0.19[/C][C]0.70719843315726[/C][C]0.170592378063421[/C][/ROW]
[ROW][C]0.2[/C][C]0.744218201256633[/C][C]0.165809018935795[/C][/ROW]
[ROW][C]0.21[/C][C]0.779434544207517[/C][C]0.161087758372393[/C][/ROW]
[ROW][C]0.22[/C][C]0.81300115396167[/C][C]0.156449517245442[/C][/ROW]
[ROW][C]0.23[/C][C]0.845084291583121[/C][C]0.152102898428636[/C][/ROW]
[ROW][C]0.24[/C][C]0.875883859157337[/C][C]0.148441226633371[/C][/ROW]
[ROW][C]0.25[/C][C]0.905652373104113[/C][C]0.145990444030022[/C][/ROW]
[ROW][C]0.26[/C][C]0.934706540869133[/C][C]0.145320560339709[/C][/ROW]
[ROW][C]0.27[/C][C]0.963428651502865[/C][C]0.146955626372814[/C][/ROW]
[ROW][C]0.28[/C][C]0.992257714977735[/C][C]0.151284765159799[/C][/ROW]
[ROW][C]0.29[/C][C]1.02167239568467[/C][C]0.158517385139746[/C][/ROW]
[ROW][C]0.3[/C][C]1.05216887988446[/C][C]0.168671836883511[/C][/ROW]
[ROW][C]0.31[/C][C]1.08423691106568[/C][C]0.181600961304407[/C][/ROW]
[ROW][C]0.32[/C][C]1.11833660998684[/C][C]0.197025693823109[/C][/ROW]
[ROW][C]0.33[/C][C]1.15487775039771[/C][C]0.214573097528028[/C][/ROW]
[ROW][C]0.34[/C][C]1.19420222557871[/C][C]0.233792464194939[/C][/ROW]
[ROW][C]0.35[/C][C]1.23656973982481[/C][C]0.254172949217156[/C][/ROW]
[ROW][C]0.36[/C][C]1.28214639501585[/C][C]0.275156682621653[/C][/ROW]
[ROW][C]0.37[/C][C]1.33099581981214[/C][C]0.296146924173104[/C][/ROW]
[ROW][C]0.38[/C][C]1.38307274665764[/C][C]0.31650925460589[/C][/ROW]
[ROW][C]0.39[/C][C]1.43821937688126[/C][C]0.335587854167266[/C][/ROW]
[ROW][C]0.4[/C][C]1.4961653552671[/C][C]0.352715448113717[/C][/ROW]
[ROW][C]0.41[/C][C]1.55653255197718[/C][C]0.367244537308519[/C][/ROW]
[ROW][C]0.42[/C][C]1.6188459688323[/C][C]0.37858619545837[/C][/ROW]
[ROW][C]0.43[/C][C]1.68255182328995[/C][C]0.386256259214984[/C][/ROW]
[ROW][C]0.44[/C][C]1.74704315834794[/C][C]0.389930801087656[/C][/ROW]
[ROW][C]0.45[/C][C]1.81169222476117[/C][C]0.389499852337158[/C][/ROW]
[ROW][C]0.46[/C][C]1.87588754878451[/C][C]0.385097302432623[/C][/ROW]
[ROW][C]0.47[/C][C]1.93907230463612[/C][C]0.377128779939573[/C][/ROW]
[ROW][C]0.48[/C][C]2.00077967936223[/C][C]0.366248749154538[/C][/ROW]
[ROW][C]0.49[/C][C]2.06066064552402[/C][C]0.353308967614056[/C][/ROW]
[ROW][C]0.5[/C][C]2.11850012845508[/C][C]0.339280316102664[/C][/ROW]
[ROW][C]0.51[/C][C]2.17421897543948[/C][C]0.325143127952914[/C][/ROW]
[ROW][C]0.52[/C][C]2.22786120674265[/C][C]0.311772801482755[/C][/ROW]
[ROW][C]0.53[/C][C]2.27956838129221[/C][C]0.299816417460001[/C][/ROW]
[ROW][C]0.54[/C][C]2.32954507394837[/C][C]0.289616089955575[/C][/ROW]
[ROW][C]0.55[/C][C]2.37802097730381[/C][C]0.281190255100693[/C][/ROW]
[ROW][C]0.56[/C][C]2.42521566817391[/C][C]0.27426421629441[/C][/ROW]
[ROW][C]0.57[/C][C]2.47131147878047[/C][C]0.268362146647532[/C][/ROW]
[ROW][C]0.58[/C][C]2.51643828479744[/C][C]0.26294473076657[/C][/ROW]
[ROW][C]0.59[/C][C]2.56067168560765[/C][C]0.257528172272485[/C][/ROW]
[ROW][C]0.6[/C][C]2.6040434746586[/C][C]0.251782073201251[/C][/ROW]
[ROW][C]0.61[/C][C]2.64656099568092[/C][C]0.245592583245909[/C][/ROW]
[ROW][C]0.62[/C][C]2.68823040692441[/C][C]0.239054255328267[/C][/ROW]
[ROW][C]0.63[/C][C]2.72907832694387[/C][C]0.232443424731134[/C][/ROW]
[ROW][C]0.64[/C][C]2.76916689417214[/C][C]0.22614753935314[/C][/ROW]
[ROW][C]0.65[/C][C]2.80859879666767[/C][C]0.220558918412324[/C][/ROW]
[ROW][C]0.66[/C][C]2.84751098907253[/C][C]0.215988490066513[/C][/ROW]
[ROW][C]0.67[/C][C]2.88605816904078[/C][C]0.212566217993276[/C][/ROW]
[ROW][C]0.68[/C][C]2.92438917347483[/C][C]0.210215601960156[/C][/ROW]
[ROW][C]0.69[/C][C]2.96262088560791[/C][C]0.208634479376694[/C][/ROW]
[ROW][C]0.7[/C][C]3.00081476880496[/C][C]0.207367318316945[/C][/ROW]
[ROW][C]0.71[/C][C]3.03896069159859[/C][C]0.205866509136709[/C][/ROW]
[ROW][C]0.72[/C][C]3.07697138788007[/C][C]0.203604247810672[/C][/ROW]
[ROW][C]0.73[/C][C]3.11468895834038[/C][C]0.200141192293021[/C][/ROW]
[ROW][C]0.74[/C][C]3.15190261044665[/C][C]0.195196833375565[/C][/ROW]
[ROW][C]0.75[/C][C]3.18837473944646[/C][C]0.18869145088476[/C][/ROW]
[ROW][C]0.76[/C][C]3.22387084516622[/C][C]0.180737250940427[/C][/ROW]
[ROW][C]0.77[/C][C]3.25818797490211[/C][C]0.171624166499128[/C][/ROW]
[ROW][C]0.78[/C][C]3.29117659541785[/C][C]0.161766780352907[/C][/ROW]
[ROW][C]0.79[/C][C]3.32275208577073[/C][C]0.151629162974944[/C][/ROW]
[ROW][C]0.8[/C][C]3.35289425347221[/C][C]0.141646255701838[/C][/ROW]
[ROW][C]0.81[/C][C]3.38163600130723[/C][C]0.132142273233985[/C][/ROW]
[ROW][C]0.82[/C][C]3.40904486307752[/C][C]0.123286476284879[/C][/ROW]
[ROW][C]0.83[/C][C]3.43520281039503[/C][C]0.115081348662736[/C][/ROW]
[ROW][C]0.84[/C][C]3.46018984845317[/C][C]0.10740240075487[/C][/ROW]
[ROW][C]0.85[/C][C]3.48407524512292[/C][C]0.10008716740088[/C][/ROW]
[ROW][C]0.86[/C][C]3.506917296313[/C][C]0.0930093153180592[/C][/ROW]
[ROW][C]0.87[/C][C]3.52876967351865[/C][C]0.086134726224483[/C][/ROW]
[ROW][C]0.88[/C][C]3.54969146983508[/C][C]0.0795134660073015[/C][/ROW]
[ROW][C]0.89[/C][C]3.56976051652425[/C][C]0.0732294466755558[/C][/ROW]
[ROW][C]0.9[/C][C]3.58909522441039[/C][C]0.0673523362694314[/C][/ROW]
[ROW][C]0.91[/C][C]3.60789635634057[/C][C]0.0619407150651134[/C][/ROW]
[ROW][C]0.92[/C][C]3.62652153090408[/C][C]0.0571776757178835[/C][/ROW]
[ROW][C]0.93[/C][C]3.64559554630023[/C][C]0.0535933204302702[/C][/ROW]
[ROW][C]0.94[/C][C]3.66613159822907[/C][C]0.0521994728999065[/C][/ROW]
[ROW][C]0.95[/C][C]3.68957933922238[/C][C]0.054150864407892[/C][/ROW]
[ROW][C]0.96[/C][C]3.71760401873613[/C][C]0.0598694819912755[/C][/ROW]
[ROW][C]0.97[/C][C]3.75125089920346[/C][C]0.0686370036197391[/C][/ROW]
[ROW][C]0.98[/C][C]3.7891815146065[/C][C]0.0792736177354063[/C][/ROW]
[ROW][C]0.99[/C][C]3.82551446247341[/C][C]0.0902515311958439[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281631&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281631&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
0.01-0.3246786142783470.213921094922078
0.02-0.2462727093795320.165208716706609
0.03-0.1668300034952790.135975951752803
0.04-0.09539296915575080.134350537186546
0.05-0.03108524377571440.148968565012575
0.060.02985694136385850.167139036789921
0.070.09012295743164750.182829453680268
0.080.150592829550760.19425218004869
0.090.2109780862547630.201462764936327
0.10.2705628182147110.205142999491341
0.110.3286390219391460.206023064202355
0.120.384669751251480.204682085846093
0.130.4383099783247070.201574101497295
0.140.4893787888659230.197143341479889
0.150.5378248659215820.191882404276322
0.160.5836954411051510.186294439565917
0.170.627107186893780.180779667589748
0.180.6682174983186360.175544169589356
0.190.707198433157260.170592378063421
0.20.7442182012566330.165809018935795
0.210.7794345442075170.161087758372393
0.220.813001153961670.156449517245442
0.230.8450842915831210.152102898428636
0.240.8758838591573370.148441226633371
0.250.9056523731041130.145990444030022
0.260.9347065408691330.145320560339709
0.270.9634286515028650.146955626372814
0.280.9922577149777350.151284765159799
0.291.021672395684670.158517385139746
0.31.052168879884460.168671836883511
0.311.084236911065680.181600961304407
0.321.118336609986840.197025693823109
0.331.154877750397710.214573097528028
0.341.194202225578710.233792464194939
0.351.236569739824810.254172949217156
0.361.282146395015850.275156682621653
0.371.330995819812140.296146924173104
0.381.383072746657640.31650925460589
0.391.438219376881260.335587854167266
0.41.49616535526710.352715448113717
0.411.556532551977180.367244537308519
0.421.61884596883230.37858619545837
0.431.682551823289950.386256259214984
0.441.747043158347940.389930801087656
0.451.811692224761170.389499852337158
0.461.875887548784510.385097302432623
0.471.939072304636120.377128779939573
0.482.000779679362230.366248749154538
0.492.060660645524020.353308967614056
0.52.118500128455080.339280316102664
0.512.174218975439480.325143127952914
0.522.227861206742650.311772801482755
0.532.279568381292210.299816417460001
0.542.329545073948370.289616089955575
0.552.378020977303810.281190255100693
0.562.425215668173910.27426421629441
0.572.471311478780470.268362146647532
0.582.516438284797440.26294473076657
0.592.560671685607650.257528172272485
0.62.60404347465860.251782073201251
0.612.646560995680920.245592583245909
0.622.688230406924410.239054255328267
0.632.729078326943870.232443424731134
0.642.769166894172140.22614753935314
0.652.808598796667670.220558918412324
0.662.847510989072530.215988490066513
0.672.886058169040780.212566217993276
0.682.924389173474830.210215601960156
0.692.962620885607910.208634479376694
0.73.000814768804960.207367318316945
0.713.038960691598590.205866509136709
0.723.076971387880070.203604247810672
0.733.114688958340380.200141192293021
0.743.151902610446650.195196833375565
0.753.188374739446460.18869145088476
0.763.223870845166220.180737250940427
0.773.258187974902110.171624166499128
0.783.291176595417850.161766780352907
0.793.322752085770730.151629162974944
0.83.352894253472210.141646255701838
0.813.381636001307230.132142273233985
0.823.409044863077520.123286476284879
0.833.435202810395030.115081348662736
0.843.460189848453170.10740240075487
0.853.484075245122920.10008716740088
0.863.5069172963130.0930093153180592
0.873.528769673518650.086134726224483
0.883.549691469835080.0795134660073015
0.893.569760516524250.0732294466755558
0.93.589095224410390.0673523362694314
0.913.607896356340570.0619407150651134
0.923.626521530904080.0571776757178835
0.933.645595546300230.0535933204302702
0.943.666131598229070.0521994728999065
0.953.689579339222380.054150864407892
0.963.717604018736130.0598694819912755
0.973.751250899203460.0686370036197391
0.983.78918151460650.0792736177354063
0.993.825514462473410.0902515311958439



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')