FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 10:50:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329925909ccmmhg32qjnpy5n.htm/, Retrieved Tue, 07 May 2024 00:33:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163090, Retrieved Tue, 07 May 2024 00:33:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-02-22 15:50:05] [a136497b64b0ea11fa49f30f9c72ef9a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,58
2,59
2,6
2,6
2,61
2,62
2,64
2,65
2,66
2,67
2,68
2,69
2,69
2,71
2,72
2,73
2,73
2,74
2,74
2,74
2,74
2,74
2,75
2,75
2,75
2,75
2,77
2,78
2,79
2,8
2,82
2,83
2,84
2,87
2,89
2,9
2,9
2,91
2,92
2,92
2,92
2,92
2,94
2,95
2,95
2,97
2,99
3
3
3,01
3,03
3,03
3,04
3,04
3,05
3,05
3,09
3,09
3,09
3,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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=163090&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=163090&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163090&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.582659927141870.00955109646679645
0.022.586825838843120.00939216228608775
0.032.591573329437960.00965592441026991
0.042.596400822463660.0106255949249718
0.052.601253381379530.0124676281088109
0.062.606288133533930.0149886293519419
0.072.611670697304450.0177556778783518
0.082.617477716247790.0203457812771081
0.092.6236826953360.0224714712355746
0.12.630185093710440.0240079026316395
0.112.636851865477310.0249661045655284
0.122.643553369841820.0254545000312705
0.132.650186023010710.025625274027761
0.142.656681134476770.0256173521791675
0.152.663003118600780.025548092486577
0.162.669141423269660.0254774570885965
0.172.675100093191260.0254277908647192
0.182.680887800171880.0253748515955514
0.192.68651002523850.0252739241715725
0.22.691964147772350.0250637464276859
0.212.697237543481590.0246804829230427
0.222.702308367044490.0240820091350489
0.232.707148427181790.0232393001526502
0.242.711727406953610.0221592233754644
0.252.716017626411050.0208708154425941
0.262.71999858903340.0194342052726007
0.272.723660692047580.0179181299966583
0.282.72700769024250.0164141385181547
0.292.73005774329060.0150092655728817
0.32.732843102258370.0137959724635182
0.312.735408663750780.0128542484882566
0.322.737809718570840.0122485333681707
0.332.740109244043340.0120388716727192
0.342.742375049787880.012251324331492
0.352.744677009851910.0128895267107262
0.362.747084525787360.0139403860337519
0.372.749664287085750.0153697063406627
0.382.752478340589140.0171362071625728
0.392.755582452676230.0191944452083818
0.42.759024742498720.0214948395562066
0.412.762844571490370.0239787500270959
0.422.767071682910230.02658938646975
0.432.771725587245990.0292675595283675
0.442.776815182231650.0319485591601031
0.452.782338583334510.034575102616955
0.462.788283129506430.0370808764098866
0.472.794625528535090.0394108809323262
0.482.80133212252120.0415056042371227
0.492.808359287138640.0433084175805999
0.52.815654021763010.0447659302022017
0.512.823154828895030.0458279524080663
0.522.830793005724320.0464527848491122
0.532.838494465313980.0466062258457171
0.542.846182163025480.0462731732330182
0.552.853779127522310.0454569008793816
0.562.861211996079780.0441825087292931
0.572.868414848832370.0425012880933773
0.582.875333046494280.0404875087772694
0.592.88192671936630.0382410536686864
0.62.888173544286580.035873047482228
0.612.894070484281970.033508005207888
0.622.899634248071590.0312712239105074
0.632.904900341485970.0292862298862773
0.642.909920714719730.0276565151308627
0.652.914760142038960.0264614272227259
0.662.919491590147920.0257457496961919
0.672.924190927551190.0255146443232989
0.682.928931393436980.0257257034869209
0.692.933778277325640.0263017164102612
0.72.938784257862520.0271390513941189
0.712.943985808511250.0281183305862649
0.722.949400996750880.0291187366253114
0.732.955028879667760.0300233637868939
0.742.960850534963730.030736860061203
0.752.966831574603320.0311792146902591
0.762.972925795563080.0313035247270623
0.772.979079470992590.0310872075575217
0.782.985235727005080.0305407401840413
0.792.991338529911360.0296903058361338
0.82.997336041782840.0285833700002653
0.813.003183454399060.0272669162466255
0.823.008845786643780.0257935436194596
0.833.014301374852350.0242150045875939
0.843.019546712304070.0225978609244785
0.853.024602724367440.0210279107362483
0.863.029521397331110.0196278677308747
0.873.034389995932540.018558837346309
0.883.039328343800510.0180035713715269
0.893.044473769896170.0180924416716301
0.93.049949861096550.01880009169284
0.913.055820722972390.0198444846794724
0.923.062042509581310.0206975267921218
0.933.068435877242460.0207078977933299
0.943.074709069793270.0193482260545063
0.953.080549069382450.0165014278964219
0.963.085756035653710.0126949796526205
0.973.09032938622180.00916370785127089
0.983.094372719356650.00759227492119468
0.993.097781460387460.00841746985707488

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.58265992714187 & 0.00955109646679645 \tabularnewline
0.02 & 2.58682583884312 & 0.00939216228608775 \tabularnewline
0.03 & 2.59157332943796 & 0.00965592441026991 \tabularnewline
0.04 & 2.59640082246366 & 0.0106255949249718 \tabularnewline
0.05 & 2.60125338137953 & 0.0124676281088109 \tabularnewline
0.06 & 2.60628813353393 & 0.0149886293519419 \tabularnewline
0.07 & 2.61167069730445 & 0.0177556778783518 \tabularnewline
0.08 & 2.61747771624779 & 0.0203457812771081 \tabularnewline
0.09 & 2.623682695336 & 0.0224714712355746 \tabularnewline
0.1 & 2.63018509371044 & 0.0240079026316395 \tabularnewline
0.11 & 2.63685186547731 & 0.0249661045655284 \tabularnewline
0.12 & 2.64355336984182 & 0.0254545000312705 \tabularnewline
0.13 & 2.65018602301071 & 0.025625274027761 \tabularnewline
0.14 & 2.65668113447677 & 0.0256173521791675 \tabularnewline
0.15 & 2.66300311860078 & 0.025548092486577 \tabularnewline
0.16 & 2.66914142326966 & 0.0254774570885965 \tabularnewline
0.17 & 2.67510009319126 & 0.0254277908647192 \tabularnewline
0.18 & 2.68088780017188 & 0.0253748515955514 \tabularnewline
0.19 & 2.6865100252385 & 0.0252739241715725 \tabularnewline
0.2 & 2.69196414777235 & 0.0250637464276859 \tabularnewline
0.21 & 2.69723754348159 & 0.0246804829230427 \tabularnewline
0.22 & 2.70230836704449 & 0.0240820091350489 \tabularnewline
0.23 & 2.70714842718179 & 0.0232393001526502 \tabularnewline
0.24 & 2.71172740695361 & 0.0221592233754644 \tabularnewline
0.25 & 2.71601762641105 & 0.0208708154425941 \tabularnewline
0.26 & 2.7199985890334 & 0.0194342052726007 \tabularnewline
0.27 & 2.72366069204758 & 0.0179181299966583 \tabularnewline
0.28 & 2.7270076902425 & 0.0164141385181547 \tabularnewline
0.29 & 2.7300577432906 & 0.0150092655728817 \tabularnewline
0.3 & 2.73284310225837 & 0.0137959724635182 \tabularnewline
0.31 & 2.73540866375078 & 0.0128542484882566 \tabularnewline
0.32 & 2.73780971857084 & 0.0122485333681707 \tabularnewline
0.33 & 2.74010924404334 & 0.0120388716727192 \tabularnewline
0.34 & 2.74237504978788 & 0.012251324331492 \tabularnewline
0.35 & 2.74467700985191 & 0.0128895267107262 \tabularnewline
0.36 & 2.74708452578736 & 0.0139403860337519 \tabularnewline
0.37 & 2.74966428708575 & 0.0153697063406627 \tabularnewline
0.38 & 2.75247834058914 & 0.0171362071625728 \tabularnewline
0.39 & 2.75558245267623 & 0.0191944452083818 \tabularnewline
0.4 & 2.75902474249872 & 0.0214948395562066 \tabularnewline
0.41 & 2.76284457149037 & 0.0239787500270959 \tabularnewline
0.42 & 2.76707168291023 & 0.02658938646975 \tabularnewline
0.43 & 2.77172558724599 & 0.0292675595283675 \tabularnewline
0.44 & 2.77681518223165 & 0.0319485591601031 \tabularnewline
0.45 & 2.78233858333451 & 0.034575102616955 \tabularnewline
0.46 & 2.78828312950643 & 0.0370808764098866 \tabularnewline
0.47 & 2.79462552853509 & 0.0394108809323262 \tabularnewline
0.48 & 2.8013321225212 & 0.0415056042371227 \tabularnewline
0.49 & 2.80835928713864 & 0.0433084175805999 \tabularnewline
0.5 & 2.81565402176301 & 0.0447659302022017 \tabularnewline
0.51 & 2.82315482889503 & 0.0458279524080663 \tabularnewline
0.52 & 2.83079300572432 & 0.0464527848491122 \tabularnewline
0.53 & 2.83849446531398 & 0.0466062258457171 \tabularnewline
0.54 & 2.84618216302548 & 0.0462731732330182 \tabularnewline
0.55 & 2.85377912752231 & 0.0454569008793816 \tabularnewline
0.56 & 2.86121199607978 & 0.0441825087292931 \tabularnewline
0.57 & 2.86841484883237 & 0.0425012880933773 \tabularnewline
0.58 & 2.87533304649428 & 0.0404875087772694 \tabularnewline
0.59 & 2.8819267193663 & 0.0382410536686864 \tabularnewline
0.6 & 2.88817354428658 & 0.035873047482228 \tabularnewline
0.61 & 2.89407048428197 & 0.033508005207888 \tabularnewline
0.62 & 2.89963424807159 & 0.0312712239105074 \tabularnewline
0.63 & 2.90490034148597 & 0.0292862298862773 \tabularnewline
0.64 & 2.90992071471973 & 0.0276565151308627 \tabularnewline
0.65 & 2.91476014203896 & 0.0264614272227259 \tabularnewline
0.66 & 2.91949159014792 & 0.0257457496961919 \tabularnewline
0.67 & 2.92419092755119 & 0.0255146443232989 \tabularnewline
0.68 & 2.92893139343698 & 0.0257257034869209 \tabularnewline
0.69 & 2.93377827732564 & 0.0263017164102612 \tabularnewline
0.7 & 2.93878425786252 & 0.0271390513941189 \tabularnewline
0.71 & 2.94398580851125 & 0.0281183305862649 \tabularnewline
0.72 & 2.94940099675088 & 0.0291187366253114 \tabularnewline
0.73 & 2.95502887966776 & 0.0300233637868939 \tabularnewline
0.74 & 2.96085053496373 & 0.030736860061203 \tabularnewline
0.75 & 2.96683157460332 & 0.0311792146902591 \tabularnewline
0.76 & 2.97292579556308 & 0.0313035247270623 \tabularnewline
0.77 & 2.97907947099259 & 0.0310872075575217 \tabularnewline
0.78 & 2.98523572700508 & 0.0305407401840413 \tabularnewline
0.79 & 2.99133852991136 & 0.0296903058361338 \tabularnewline
0.8 & 2.99733604178284 & 0.0285833700002653 \tabularnewline
0.81 & 3.00318345439906 & 0.0272669162466255 \tabularnewline
0.82 & 3.00884578664378 & 0.0257935436194596 \tabularnewline
0.83 & 3.01430137485235 & 0.0242150045875939 \tabularnewline
0.84 & 3.01954671230407 & 0.0225978609244785 \tabularnewline
0.85 & 3.02460272436744 & 0.0210279107362483 \tabularnewline
0.86 & 3.02952139733111 & 0.0196278677308747 \tabularnewline
0.87 & 3.03438999593254 & 0.018558837346309 \tabularnewline
0.88 & 3.03932834380051 & 0.0180035713715269 \tabularnewline
0.89 & 3.04447376989617 & 0.0180924416716301 \tabularnewline
0.9 & 3.04994986109655 & 0.01880009169284 \tabularnewline
0.91 & 3.05582072297239 & 0.0198444846794724 \tabularnewline
0.92 & 3.06204250958131 & 0.0206975267921218 \tabularnewline
0.93 & 3.06843587724246 & 0.0207078977933299 \tabularnewline
0.94 & 3.07470906979327 & 0.0193482260545063 \tabularnewline
0.95 & 3.08054906938245 & 0.0165014278964219 \tabularnewline
0.96 & 3.08575603565371 & 0.0126949796526205 \tabularnewline
0.97 & 3.0903293862218 & 0.00916370785127089 \tabularnewline
0.98 & 3.09437271935665 & 0.00759227492119468 \tabularnewline
0.99 & 3.09778146038746 & 0.00841746985707488 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163090&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]2.58265992714187[/C][C]0.00955109646679645[/C][/ROW]
[ROW][C]0.02[/C][C]2.58682583884312[/C][C]0.00939216228608775[/C][/ROW]
[ROW][C]0.03[/C][C]2.59157332943796[/C][C]0.00965592441026991[/C][/ROW]
[ROW][C]0.04[/C][C]2.59640082246366[/C][C]0.0106255949249718[/C][/ROW]
[ROW][C]0.05[/C][C]2.60125338137953[/C][C]0.0124676281088109[/C][/ROW]
[ROW][C]0.06[/C][C]2.60628813353393[/C][C]0.0149886293519419[/C][/ROW]
[ROW][C]0.07[/C][C]2.61167069730445[/C][C]0.0177556778783518[/C][/ROW]
[ROW][C]0.08[/C][C]2.61747771624779[/C][C]0.0203457812771081[/C][/ROW]
[ROW][C]0.09[/C][C]2.623682695336[/C][C]0.0224714712355746[/C][/ROW]
[ROW][C]0.1[/C][C]2.63018509371044[/C][C]0.0240079026316395[/C][/ROW]
[ROW][C]0.11[/C][C]2.63685186547731[/C][C]0.0249661045655284[/C][/ROW]
[ROW][C]0.12[/C][C]2.64355336984182[/C][C]0.0254545000312705[/C][/ROW]
[ROW][C]0.13[/C][C]2.65018602301071[/C][C]0.025625274027761[/C][/ROW]
[ROW][C]0.14[/C][C]2.65668113447677[/C][C]0.0256173521791675[/C][/ROW]
[ROW][C]0.15[/C][C]2.66300311860078[/C][C]0.025548092486577[/C][/ROW]
[ROW][C]0.16[/C][C]2.66914142326966[/C][C]0.0254774570885965[/C][/ROW]
[ROW][C]0.17[/C][C]2.67510009319126[/C][C]0.0254277908647192[/C][/ROW]
[ROW][C]0.18[/C][C]2.68088780017188[/C][C]0.0253748515955514[/C][/ROW]
[ROW][C]0.19[/C][C]2.6865100252385[/C][C]0.0252739241715725[/C][/ROW]
[ROW][C]0.2[/C][C]2.69196414777235[/C][C]0.0250637464276859[/C][/ROW]
[ROW][C]0.21[/C][C]2.69723754348159[/C][C]0.0246804829230427[/C][/ROW]
[ROW][C]0.22[/C][C]2.70230836704449[/C][C]0.0240820091350489[/C][/ROW]
[ROW][C]0.23[/C][C]2.70714842718179[/C][C]0.0232393001526502[/C][/ROW]
[ROW][C]0.24[/C][C]2.71172740695361[/C][C]0.0221592233754644[/C][/ROW]
[ROW][C]0.25[/C][C]2.71601762641105[/C][C]0.0208708154425941[/C][/ROW]
[ROW][C]0.26[/C][C]2.7199985890334[/C][C]0.0194342052726007[/C][/ROW]
[ROW][C]0.27[/C][C]2.72366069204758[/C][C]0.0179181299966583[/C][/ROW]
[ROW][C]0.28[/C][C]2.7270076902425[/C][C]0.0164141385181547[/C][/ROW]
[ROW][C]0.29[/C][C]2.7300577432906[/C][C]0.0150092655728817[/C][/ROW]
[ROW][C]0.3[/C][C]2.73284310225837[/C][C]0.0137959724635182[/C][/ROW]
[ROW][C]0.31[/C][C]2.73540866375078[/C][C]0.0128542484882566[/C][/ROW]
[ROW][C]0.32[/C][C]2.73780971857084[/C][C]0.0122485333681707[/C][/ROW]
[ROW][C]0.33[/C][C]2.74010924404334[/C][C]0.0120388716727192[/C][/ROW]
[ROW][C]0.34[/C][C]2.74237504978788[/C][C]0.012251324331492[/C][/ROW]
[ROW][C]0.35[/C][C]2.74467700985191[/C][C]0.0128895267107262[/C][/ROW]
[ROW][C]0.36[/C][C]2.74708452578736[/C][C]0.0139403860337519[/C][/ROW]
[ROW][C]0.37[/C][C]2.74966428708575[/C][C]0.0153697063406627[/C][/ROW]
[ROW][C]0.38[/C][C]2.75247834058914[/C][C]0.0171362071625728[/C][/ROW]
[ROW][C]0.39[/C][C]2.75558245267623[/C][C]0.0191944452083818[/C][/ROW]
[ROW][C]0.4[/C][C]2.75902474249872[/C][C]0.0214948395562066[/C][/ROW]
[ROW][C]0.41[/C][C]2.76284457149037[/C][C]0.0239787500270959[/C][/ROW]
[ROW][C]0.42[/C][C]2.76707168291023[/C][C]0.02658938646975[/C][/ROW]
[ROW][C]0.43[/C][C]2.77172558724599[/C][C]0.0292675595283675[/C][/ROW]
[ROW][C]0.44[/C][C]2.77681518223165[/C][C]0.0319485591601031[/C][/ROW]
[ROW][C]0.45[/C][C]2.78233858333451[/C][C]0.034575102616955[/C][/ROW]
[ROW][C]0.46[/C][C]2.78828312950643[/C][C]0.0370808764098866[/C][/ROW]
[ROW][C]0.47[/C][C]2.79462552853509[/C][C]0.0394108809323262[/C][/ROW]
[ROW][C]0.48[/C][C]2.8013321225212[/C][C]0.0415056042371227[/C][/ROW]
[ROW][C]0.49[/C][C]2.80835928713864[/C][C]0.0433084175805999[/C][/ROW]
[ROW][C]0.5[/C][C]2.81565402176301[/C][C]0.0447659302022017[/C][/ROW]
[ROW][C]0.51[/C][C]2.82315482889503[/C][C]0.0458279524080663[/C][/ROW]
[ROW][C]0.52[/C][C]2.83079300572432[/C][C]0.0464527848491122[/C][/ROW]
[ROW][C]0.53[/C][C]2.83849446531398[/C][C]0.0466062258457171[/C][/ROW]
[ROW][C]0.54[/C][C]2.84618216302548[/C][C]0.0462731732330182[/C][/ROW]
[ROW][C]0.55[/C][C]2.85377912752231[/C][C]0.0454569008793816[/C][/ROW]
[ROW][C]0.56[/C][C]2.86121199607978[/C][C]0.0441825087292931[/C][/ROW]
[ROW][C]0.57[/C][C]2.86841484883237[/C][C]0.0425012880933773[/C][/ROW]
[ROW][C]0.58[/C][C]2.87533304649428[/C][C]0.0404875087772694[/C][/ROW]
[ROW][C]0.59[/C][C]2.8819267193663[/C][C]0.0382410536686864[/C][/ROW]
[ROW][C]0.6[/C][C]2.88817354428658[/C][C]0.035873047482228[/C][/ROW]
[ROW][C]0.61[/C][C]2.89407048428197[/C][C]0.033508005207888[/C][/ROW]
[ROW][C]0.62[/C][C]2.89963424807159[/C][C]0.0312712239105074[/C][/ROW]
[ROW][C]0.63[/C][C]2.90490034148597[/C][C]0.0292862298862773[/C][/ROW]
[ROW][C]0.64[/C][C]2.90992071471973[/C][C]0.0276565151308627[/C][/ROW]
[ROW][C]0.65[/C][C]2.91476014203896[/C][C]0.0264614272227259[/C][/ROW]
[ROW][C]0.66[/C][C]2.91949159014792[/C][C]0.0257457496961919[/C][/ROW]
[ROW][C]0.67[/C][C]2.92419092755119[/C][C]0.0255146443232989[/C][/ROW]
[ROW][C]0.68[/C][C]2.92893139343698[/C][C]0.0257257034869209[/C][/ROW]
[ROW][C]0.69[/C][C]2.93377827732564[/C][C]0.0263017164102612[/C][/ROW]
[ROW][C]0.7[/C][C]2.93878425786252[/C][C]0.0271390513941189[/C][/ROW]
[ROW][C]0.71[/C][C]2.94398580851125[/C][C]0.0281183305862649[/C][/ROW]
[ROW][C]0.72[/C][C]2.94940099675088[/C][C]0.0291187366253114[/C][/ROW]
[ROW][C]0.73[/C][C]2.95502887966776[/C][C]0.0300233637868939[/C][/ROW]
[ROW][C]0.74[/C][C]2.96085053496373[/C][C]0.030736860061203[/C][/ROW]
[ROW][C]0.75[/C][C]2.96683157460332[/C][C]0.0311792146902591[/C][/ROW]
[ROW][C]0.76[/C][C]2.97292579556308[/C][C]0.0313035247270623[/C][/ROW]
[ROW][C]0.77[/C][C]2.97907947099259[/C][C]0.0310872075575217[/C][/ROW]
[ROW][C]0.78[/C][C]2.98523572700508[/C][C]0.0305407401840413[/C][/ROW]
[ROW][C]0.79[/C][C]2.99133852991136[/C][C]0.0296903058361338[/C][/ROW]
[ROW][C]0.8[/C][C]2.99733604178284[/C][C]0.0285833700002653[/C][/ROW]
[ROW][C]0.81[/C][C]3.00318345439906[/C][C]0.0272669162466255[/C][/ROW]
[ROW][C]0.82[/C][C]3.00884578664378[/C][C]0.0257935436194596[/C][/ROW]
[ROW][C]0.83[/C][C]3.01430137485235[/C][C]0.0242150045875939[/C][/ROW]
[ROW][C]0.84[/C][C]3.01954671230407[/C][C]0.0225978609244785[/C][/ROW]
[ROW][C]0.85[/C][C]3.02460272436744[/C][C]0.0210279107362483[/C][/ROW]
[ROW][C]0.86[/C][C]3.02952139733111[/C][C]0.0196278677308747[/C][/ROW]
[ROW][C]0.87[/C][C]3.03438999593254[/C][C]0.018558837346309[/C][/ROW]
[ROW][C]0.88[/C][C]3.03932834380051[/C][C]0.0180035713715269[/C][/ROW]
[ROW][C]0.89[/C][C]3.04447376989617[/C][C]0.0180924416716301[/C][/ROW]
[ROW][C]0.9[/C][C]3.04994986109655[/C][C]0.01880009169284[/C][/ROW]
[ROW][C]0.91[/C][C]3.05582072297239[/C][C]0.0198444846794724[/C][/ROW]
[ROW][C]0.92[/C][C]3.06204250958131[/C][C]0.0206975267921218[/C][/ROW]
[ROW][C]0.93[/C][C]3.06843587724246[/C][C]0.0207078977933299[/C][/ROW]
[ROW][C]0.94[/C][C]3.07470906979327[/C][C]0.0193482260545063[/C][/ROW]
[ROW][C]0.95[/C][C]3.08054906938245[/C][C]0.0165014278964219[/C][/ROW]
[ROW][C]0.96[/C][C]3.08575603565371[/C][C]0.0126949796526205[/C][/ROW]
[ROW][C]0.97[/C][C]3.0903293862218[/C][C]0.00916370785127089[/C][/ROW]
[ROW][C]0.98[/C][C]3.09437271935665[/C][C]0.00759227492119468[/C][/ROW]
[ROW][C]0.99[/C][C]3.09778146038746[/C][C]0.00841746985707488[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163090&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163090&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.582659927141870.00955109646679645
0.022.586825838843120.00939216228608775
0.032.591573329437960.00965592441026991
0.042.596400822463660.0106255949249718
0.052.601253381379530.0124676281088109
0.062.606288133533930.0149886293519419
0.072.611670697304450.0177556778783518
0.082.617477716247790.0203457812771081
0.092.6236826953360.0224714712355746
0.12.630185093710440.0240079026316395
0.112.636851865477310.0249661045655284
0.122.643553369841820.0254545000312705
0.132.650186023010710.025625274027761
0.142.656681134476770.0256173521791675
0.152.663003118600780.025548092486577
0.162.669141423269660.0254774570885965
0.172.675100093191260.0254277908647192
0.182.680887800171880.0253748515955514
0.192.68651002523850.0252739241715725
0.22.691964147772350.0250637464276859
0.212.697237543481590.0246804829230427
0.222.702308367044490.0240820091350489
0.232.707148427181790.0232393001526502
0.242.711727406953610.0221592233754644
0.252.716017626411050.0208708154425941
0.262.71999858903340.0194342052726007
0.272.723660692047580.0179181299966583
0.282.72700769024250.0164141385181547
0.292.73005774329060.0150092655728817
0.32.732843102258370.0137959724635182
0.312.735408663750780.0128542484882566
0.322.737809718570840.0122485333681707
0.332.740109244043340.0120388716727192
0.342.742375049787880.012251324331492
0.352.744677009851910.0128895267107262
0.362.747084525787360.0139403860337519
0.372.749664287085750.0153697063406627
0.382.752478340589140.0171362071625728
0.392.755582452676230.0191944452083818
0.42.759024742498720.0214948395562066
0.412.762844571490370.0239787500270959
0.422.767071682910230.02658938646975
0.432.771725587245990.0292675595283675
0.442.776815182231650.0319485591601031
0.452.782338583334510.034575102616955
0.462.788283129506430.0370808764098866
0.472.794625528535090.0394108809323262
0.482.80133212252120.0415056042371227
0.492.808359287138640.0433084175805999
0.52.815654021763010.0447659302022017
0.512.823154828895030.0458279524080663
0.522.830793005724320.0464527848491122
0.532.838494465313980.0466062258457171
0.542.846182163025480.0462731732330182
0.552.853779127522310.0454569008793816
0.562.861211996079780.0441825087292931
0.572.868414848832370.0425012880933773
0.582.875333046494280.0404875087772694
0.592.88192671936630.0382410536686864
0.62.888173544286580.035873047482228
0.612.894070484281970.033508005207888
0.622.899634248071590.0312712239105074
0.632.904900341485970.0292862298862773
0.642.909920714719730.0276565151308627
0.652.914760142038960.0264614272227259
0.662.919491590147920.0257457496961919
0.672.924190927551190.0255146443232989
0.682.928931393436980.0257257034869209
0.692.933778277325640.0263017164102612
0.72.938784257862520.0271390513941189
0.712.943985808511250.0281183305862649
0.722.949400996750880.0291187366253114
0.732.955028879667760.0300233637868939
0.742.960850534963730.030736860061203
0.752.966831574603320.0311792146902591
0.762.972925795563080.0313035247270623
0.772.979079470992590.0310872075575217
0.782.985235727005080.0305407401840413
0.792.991338529911360.0296903058361338
0.82.997336041782840.0285833700002653
0.813.003183454399060.0272669162466255
0.823.008845786643780.0257935436194596
0.833.014301374852350.0242150045875939
0.843.019546712304070.0225978609244785
0.853.024602724367440.0210279107362483
0.863.029521397331110.0196278677308747
0.873.034389995932540.018558837346309
0.883.039328343800510.0180035713715269
0.893.044473769896170.0180924416716301
0.93.049949861096550.01880009169284
0.913.055820722972390.0198444846794724
0.923.062042509581310.0206975267921218
0.933.068435877242460.0207078977933299
0.943.074709069793270.0193482260545063
0.953.080549069382450.0165014278964219
0.963.085756035653710.0126949796526205
0.973.09032938622180.00916370785127089
0.983.094372719356650.00759227492119468
0.993.097781460387460.00841746985707488


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')