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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 11 Oct 2012 09:01:48 -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/2012/Oct/11/t1349960573yq8ojeef5fl0a91.htm/, Retrieved Sun, 28 Apr 2024 01:00:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=175050, Retrieved Sun, 28 Apr 2024 01:00:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

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] [] [2012-10-11 13:01:48] [d241ff6d22df5f98716704005cba5463] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.72
7.67
7.84
7.79
7.83
7.94
8.02
8.06
8.12
8.13
7.97
8.01
8
7.9
7.99
8.02
8.08
8.02
8.07
8.11
8.19
8.16
8.08
8.22
8.15
8.19
8.31
8.3
8.34
8.31
8.38
8.34
8.44
8.64
8.6
8.61
8.54
8.69
8.73
8.91
9.01
9.08
8.94
9.03
9.02
8.96
9.03
8.94
8.95
8.95
8.99
8.93
8.98
8.95
9.02
8.92
9.1
9.06
8.97
8.89
8.99
8.79
8.83
8.61
8.71
8.91
8.91
8.89
8.98
9
8.99
8.88

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175050&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175050&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.689267132445560.0532292746200336
0.027.720603019390290.0595030443174299
0.037.75553534417520.0629114295318162
0.047.789076962920440.0633342903309345
0.057.819729601964080.0635896788802177
0.067.847669621280260.0646550164164086
0.077.873416559480180.0654411563462042
0.087.897249636057910.0645938628354591
0.097.919134287848990.0616038754120867
0.17.938887544645160.0568531616743191
0.117.956373719851410.0511877780568466
0.127.971621491875710.0455488387047391
0.137.98484399814570.0407054210398223
0.147.996392842426760.0371510401448796
0.158.006686562838090.035106310377471
0.168.016143093146570.0344654849648506
0.178.02513083870610.0349738368024581
0.188.033942006113820.0362710777081963
0.198.042785831486090.0380357009632393
0.28.05179676441610.039997295516012
0.218.061051888067860.0420174996135956
0.228.070592056884460.0440656329257867
0.238.080442110058470.0461718551755536
0.248.090626887181620.0484376437114453
0.258.101181361298790.0509383860698501
0.268.112154686389280.0537863246252548
0.278.123609074072310.0570410090408714
0.288.135615067960610.0607201780523732
0.298.148245020650080.0648111305319365
0.38.161566512905370.0692496314913949
0.318.17563718531530.0739615295601073
0.328.190502022269120.0788545904517926
0.338.206193544748480.0838380895198632
0.348.222734661146560.0888834619203083
0.358.240143191583080.093979311293837
0.368.258436492653810.0991649281941853
0.378.277634366290390.104489652243744
0.388.297758687240390.10999281204016
0.398.318828948380710.11570274274594
0.48.340854053301610.121497229577196
0.418.363821886832240.127229413059879
0.428.38768910686910.132636702437988
0.438.412373914824990.137445721096276
0.448.43775412398930.141350294349877
0.458.463671720300890.144147396982965
0.468.489943574095070.145698092155192
0.478.516376423560440.146015413666266
0.488.542783133315020.145195925676076
0.498.568996845390550.143435622158096
0.58.59488009480130.140999164099749
0.518.620327139484890.138120897334203
0.528.645259348274330.134964398112501
0.538.669615096728710.131609944023959
0.548.693336848850940.128050970890011
0.558.716358675049380.12416086909254
0.568.738597268434280.119785978952307
0.578.759948652807640.114762286132734
0.588.780291457410650.108972519954095
0.598.79949618181620.102387326065237
0.68.817438613051280.0950454170487412
0.618.834014746085340.0871122226584887
0.628.8491543434920.0788136654908384
0.638.862830658405850.0704391542948574
0.648.875064715275130.0622786939360885
0.658.885923678206080.0546030844079567
0.668.895513976344920.0476353351500383
0.678.903970754720.0415101783170349
0.688.911445701114790.0363003687251327
0.698.918095294146050.03200183908084
0.78.924071071655150.02854215429364
0.718.929512781415550.0258175354535594
0.728.934544461705750.0237273636570941
0.738.939272830826930.0221612443621099
0.748.943787016952680.0210146761040225
0.758.948158710653620.0202053501797865
0.768.952442227226310.0196415799434477
0.778.956674562992310.0192313074809263
0.788.960876080745670.0188904328702672
0.798.965052717762210.0185191216100799
0.88.969200401940380.0180730965936754
0.818.973311663208160.0175316154330865
0.828.977383408759970.0169158242077366
0.838.981423853308560.016305178743416
0.848.985456140662950.0157857297951263
0.858.989516718330910.0154378589869164
0.868.993648266656120.0152916136647322
0.878.99788974232510.0152900357346478
0.889.00226911208740.0153283271356905
0.899.006806303648950.0152835227840361
0.99.011533057103320.0151145160856473
0.919.016530921532660.0149371907935571
0.929.021977572388850.0150767987113724
0.939.028176741383660.0159851119417228
0.949.035536384618690.0179539630444007
0.959.044467685293830.0206676661614934
0.969.055209671600710.0230698590131717
0.979.067602650452150.0238342278693958
0.989.080769628338130.0224357414214995
0.999.092650296224780.0203787684931277

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.68926713244556 & 0.0532292746200336 \tabularnewline
0.02 & 7.72060301939029 & 0.0595030443174299 \tabularnewline
0.03 & 7.7555353441752 & 0.0629114295318162 \tabularnewline
0.04 & 7.78907696292044 & 0.0633342903309345 \tabularnewline
0.05 & 7.81972960196408 & 0.0635896788802177 \tabularnewline
0.06 & 7.84766962128026 & 0.0646550164164086 \tabularnewline
0.07 & 7.87341655948018 & 0.0654411563462042 \tabularnewline
0.08 & 7.89724963605791 & 0.0645938628354591 \tabularnewline
0.09 & 7.91913428784899 & 0.0616038754120867 \tabularnewline
0.1 & 7.93888754464516 & 0.0568531616743191 \tabularnewline
0.11 & 7.95637371985141 & 0.0511877780568466 \tabularnewline
0.12 & 7.97162149187571 & 0.0455488387047391 \tabularnewline
0.13 & 7.9848439981457 & 0.0407054210398223 \tabularnewline
0.14 & 7.99639284242676 & 0.0371510401448796 \tabularnewline
0.15 & 8.00668656283809 & 0.035106310377471 \tabularnewline
0.16 & 8.01614309314657 & 0.0344654849648506 \tabularnewline
0.17 & 8.0251308387061 & 0.0349738368024581 \tabularnewline
0.18 & 8.03394200611382 & 0.0362710777081963 \tabularnewline
0.19 & 8.04278583148609 & 0.0380357009632393 \tabularnewline
0.2 & 8.0517967644161 & 0.039997295516012 \tabularnewline
0.21 & 8.06105188806786 & 0.0420174996135956 \tabularnewline
0.22 & 8.07059205688446 & 0.0440656329257867 \tabularnewline
0.23 & 8.08044211005847 & 0.0461718551755536 \tabularnewline
0.24 & 8.09062688718162 & 0.0484376437114453 \tabularnewline
0.25 & 8.10118136129879 & 0.0509383860698501 \tabularnewline
0.26 & 8.11215468638928 & 0.0537863246252548 \tabularnewline
0.27 & 8.12360907407231 & 0.0570410090408714 \tabularnewline
0.28 & 8.13561506796061 & 0.0607201780523732 \tabularnewline
0.29 & 8.14824502065008 & 0.0648111305319365 \tabularnewline
0.3 & 8.16156651290537 & 0.0692496314913949 \tabularnewline
0.31 & 8.1756371853153 & 0.0739615295601073 \tabularnewline
0.32 & 8.19050202226912 & 0.0788545904517926 \tabularnewline
0.33 & 8.20619354474848 & 0.0838380895198632 \tabularnewline
0.34 & 8.22273466114656 & 0.0888834619203083 \tabularnewline
0.35 & 8.24014319158308 & 0.093979311293837 \tabularnewline
0.36 & 8.25843649265381 & 0.0991649281941853 \tabularnewline
0.37 & 8.27763436629039 & 0.104489652243744 \tabularnewline
0.38 & 8.29775868724039 & 0.10999281204016 \tabularnewline
0.39 & 8.31882894838071 & 0.11570274274594 \tabularnewline
0.4 & 8.34085405330161 & 0.121497229577196 \tabularnewline
0.41 & 8.36382188683224 & 0.127229413059879 \tabularnewline
0.42 & 8.3876891068691 & 0.132636702437988 \tabularnewline
0.43 & 8.41237391482499 & 0.137445721096276 \tabularnewline
0.44 & 8.4377541239893 & 0.141350294349877 \tabularnewline
0.45 & 8.46367172030089 & 0.144147396982965 \tabularnewline
0.46 & 8.48994357409507 & 0.145698092155192 \tabularnewline
0.47 & 8.51637642356044 & 0.146015413666266 \tabularnewline
0.48 & 8.54278313331502 & 0.145195925676076 \tabularnewline
0.49 & 8.56899684539055 & 0.143435622158096 \tabularnewline
0.5 & 8.5948800948013 & 0.140999164099749 \tabularnewline
0.51 & 8.62032713948489 & 0.138120897334203 \tabularnewline
0.52 & 8.64525934827433 & 0.134964398112501 \tabularnewline
0.53 & 8.66961509672871 & 0.131609944023959 \tabularnewline
0.54 & 8.69333684885094 & 0.128050970890011 \tabularnewline
0.55 & 8.71635867504938 & 0.12416086909254 \tabularnewline
0.56 & 8.73859726843428 & 0.119785978952307 \tabularnewline
0.57 & 8.75994865280764 & 0.114762286132734 \tabularnewline
0.58 & 8.78029145741065 & 0.108972519954095 \tabularnewline
0.59 & 8.7994961818162 & 0.102387326065237 \tabularnewline
0.6 & 8.81743861305128 & 0.0950454170487412 \tabularnewline
0.61 & 8.83401474608534 & 0.0871122226584887 \tabularnewline
0.62 & 8.849154343492 & 0.0788136654908384 \tabularnewline
0.63 & 8.86283065840585 & 0.0704391542948574 \tabularnewline
0.64 & 8.87506471527513 & 0.0622786939360885 \tabularnewline
0.65 & 8.88592367820608 & 0.0546030844079567 \tabularnewline
0.66 & 8.89551397634492 & 0.0476353351500383 \tabularnewline
0.67 & 8.90397075472 & 0.0415101783170349 \tabularnewline
0.68 & 8.91144570111479 & 0.0363003687251327 \tabularnewline
0.69 & 8.91809529414605 & 0.03200183908084 \tabularnewline
0.7 & 8.92407107165515 & 0.02854215429364 \tabularnewline
0.71 & 8.92951278141555 & 0.0258175354535594 \tabularnewline
0.72 & 8.93454446170575 & 0.0237273636570941 \tabularnewline
0.73 & 8.93927283082693 & 0.0221612443621099 \tabularnewline
0.74 & 8.94378701695268 & 0.0210146761040225 \tabularnewline
0.75 & 8.94815871065362 & 0.0202053501797865 \tabularnewline
0.76 & 8.95244222722631 & 0.0196415799434477 \tabularnewline
0.77 & 8.95667456299231 & 0.0192313074809263 \tabularnewline
0.78 & 8.96087608074567 & 0.0188904328702672 \tabularnewline
0.79 & 8.96505271776221 & 0.0185191216100799 \tabularnewline
0.8 & 8.96920040194038 & 0.0180730965936754 \tabularnewline
0.81 & 8.97331166320816 & 0.0175316154330865 \tabularnewline
0.82 & 8.97738340875997 & 0.0169158242077366 \tabularnewline
0.83 & 8.98142385330856 & 0.016305178743416 \tabularnewline
0.84 & 8.98545614066295 & 0.0157857297951263 \tabularnewline
0.85 & 8.98951671833091 & 0.0154378589869164 \tabularnewline
0.86 & 8.99364826665612 & 0.0152916136647322 \tabularnewline
0.87 & 8.9978897423251 & 0.0152900357346478 \tabularnewline
0.88 & 9.0022691120874 & 0.0153283271356905 \tabularnewline
0.89 & 9.00680630364895 & 0.0152835227840361 \tabularnewline
0.9 & 9.01153305710332 & 0.0151145160856473 \tabularnewline
0.91 & 9.01653092153266 & 0.0149371907935571 \tabularnewline
0.92 & 9.02197757238885 & 0.0150767987113724 \tabularnewline
0.93 & 9.02817674138366 & 0.0159851119417228 \tabularnewline
0.94 & 9.03553638461869 & 0.0179539630444007 \tabularnewline
0.95 & 9.04446768529383 & 0.0206676661614934 \tabularnewline
0.96 & 9.05520967160071 & 0.0230698590131717 \tabularnewline
0.97 & 9.06760265045215 & 0.0238342278693958 \tabularnewline
0.98 & 9.08076962833813 & 0.0224357414214995 \tabularnewline
0.99 & 9.09265029622478 & 0.0203787684931277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175050&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]7.68926713244556[/C][C]0.0532292746200336[/C][/ROW]
[ROW][C]0.02[/C][C]7.72060301939029[/C][C]0.0595030443174299[/C][/ROW]
[ROW][C]0.03[/C][C]7.7555353441752[/C][C]0.0629114295318162[/C][/ROW]
[ROW][C]0.04[/C][C]7.78907696292044[/C][C]0.0633342903309345[/C][/ROW]
[ROW][C]0.05[/C][C]7.81972960196408[/C][C]0.0635896788802177[/C][/ROW]
[ROW][C]0.06[/C][C]7.84766962128026[/C][C]0.0646550164164086[/C][/ROW]
[ROW][C]0.07[/C][C]7.87341655948018[/C][C]0.0654411563462042[/C][/ROW]
[ROW][C]0.08[/C][C]7.89724963605791[/C][C]0.0645938628354591[/C][/ROW]
[ROW][C]0.09[/C][C]7.91913428784899[/C][C]0.0616038754120867[/C][/ROW]
[ROW][C]0.1[/C][C]7.93888754464516[/C][C]0.0568531616743191[/C][/ROW]
[ROW][C]0.11[/C][C]7.95637371985141[/C][C]0.0511877780568466[/C][/ROW]
[ROW][C]0.12[/C][C]7.97162149187571[/C][C]0.0455488387047391[/C][/ROW]
[ROW][C]0.13[/C][C]7.9848439981457[/C][C]0.0407054210398223[/C][/ROW]
[ROW][C]0.14[/C][C]7.99639284242676[/C][C]0.0371510401448796[/C][/ROW]
[ROW][C]0.15[/C][C]8.00668656283809[/C][C]0.035106310377471[/C][/ROW]
[ROW][C]0.16[/C][C]8.01614309314657[/C][C]0.0344654849648506[/C][/ROW]
[ROW][C]0.17[/C][C]8.0251308387061[/C][C]0.0349738368024581[/C][/ROW]
[ROW][C]0.18[/C][C]8.03394200611382[/C][C]0.0362710777081963[/C][/ROW]
[ROW][C]0.19[/C][C]8.04278583148609[/C][C]0.0380357009632393[/C][/ROW]
[ROW][C]0.2[/C][C]8.0517967644161[/C][C]0.039997295516012[/C][/ROW]
[ROW][C]0.21[/C][C]8.06105188806786[/C][C]0.0420174996135956[/C][/ROW]
[ROW][C]0.22[/C][C]8.07059205688446[/C][C]0.0440656329257867[/C][/ROW]
[ROW][C]0.23[/C][C]8.08044211005847[/C][C]0.0461718551755536[/C][/ROW]
[ROW][C]0.24[/C][C]8.09062688718162[/C][C]0.0484376437114453[/C][/ROW]
[ROW][C]0.25[/C][C]8.10118136129879[/C][C]0.0509383860698501[/C][/ROW]
[ROW][C]0.26[/C][C]8.11215468638928[/C][C]0.0537863246252548[/C][/ROW]
[ROW][C]0.27[/C][C]8.12360907407231[/C][C]0.0570410090408714[/C][/ROW]
[ROW][C]0.28[/C][C]8.13561506796061[/C][C]0.0607201780523732[/C][/ROW]
[ROW][C]0.29[/C][C]8.14824502065008[/C][C]0.0648111305319365[/C][/ROW]
[ROW][C]0.3[/C][C]8.16156651290537[/C][C]0.0692496314913949[/C][/ROW]
[ROW][C]0.31[/C][C]8.1756371853153[/C][C]0.0739615295601073[/C][/ROW]
[ROW][C]0.32[/C][C]8.19050202226912[/C][C]0.0788545904517926[/C][/ROW]
[ROW][C]0.33[/C][C]8.20619354474848[/C][C]0.0838380895198632[/C][/ROW]
[ROW][C]0.34[/C][C]8.22273466114656[/C][C]0.0888834619203083[/C][/ROW]
[ROW][C]0.35[/C][C]8.24014319158308[/C][C]0.093979311293837[/C][/ROW]
[ROW][C]0.36[/C][C]8.25843649265381[/C][C]0.0991649281941853[/C][/ROW]
[ROW][C]0.37[/C][C]8.27763436629039[/C][C]0.104489652243744[/C][/ROW]
[ROW][C]0.38[/C][C]8.29775868724039[/C][C]0.10999281204016[/C][/ROW]
[ROW][C]0.39[/C][C]8.31882894838071[/C][C]0.11570274274594[/C][/ROW]
[ROW][C]0.4[/C][C]8.34085405330161[/C][C]0.121497229577196[/C][/ROW]
[ROW][C]0.41[/C][C]8.36382188683224[/C][C]0.127229413059879[/C][/ROW]
[ROW][C]0.42[/C][C]8.3876891068691[/C][C]0.132636702437988[/C][/ROW]
[ROW][C]0.43[/C][C]8.41237391482499[/C][C]0.137445721096276[/C][/ROW]
[ROW][C]0.44[/C][C]8.4377541239893[/C][C]0.141350294349877[/C][/ROW]
[ROW][C]0.45[/C][C]8.46367172030089[/C][C]0.144147396982965[/C][/ROW]
[ROW][C]0.46[/C][C]8.48994357409507[/C][C]0.145698092155192[/C][/ROW]
[ROW][C]0.47[/C][C]8.51637642356044[/C][C]0.146015413666266[/C][/ROW]
[ROW][C]0.48[/C][C]8.54278313331502[/C][C]0.145195925676076[/C][/ROW]
[ROW][C]0.49[/C][C]8.56899684539055[/C][C]0.143435622158096[/C][/ROW]
[ROW][C]0.5[/C][C]8.5948800948013[/C][C]0.140999164099749[/C][/ROW]
[ROW][C]0.51[/C][C]8.62032713948489[/C][C]0.138120897334203[/C][/ROW]
[ROW][C]0.52[/C][C]8.64525934827433[/C][C]0.134964398112501[/C][/ROW]
[ROW][C]0.53[/C][C]8.66961509672871[/C][C]0.131609944023959[/C][/ROW]
[ROW][C]0.54[/C][C]8.69333684885094[/C][C]0.128050970890011[/C][/ROW]
[ROW][C]0.55[/C][C]8.71635867504938[/C][C]0.12416086909254[/C][/ROW]
[ROW][C]0.56[/C][C]8.73859726843428[/C][C]0.119785978952307[/C][/ROW]
[ROW][C]0.57[/C][C]8.75994865280764[/C][C]0.114762286132734[/C][/ROW]
[ROW][C]0.58[/C][C]8.78029145741065[/C][C]0.108972519954095[/C][/ROW]
[ROW][C]0.59[/C][C]8.7994961818162[/C][C]0.102387326065237[/C][/ROW]
[ROW][C]0.6[/C][C]8.81743861305128[/C][C]0.0950454170487412[/C][/ROW]
[ROW][C]0.61[/C][C]8.83401474608534[/C][C]0.0871122226584887[/C][/ROW]
[ROW][C]0.62[/C][C]8.849154343492[/C][C]0.0788136654908384[/C][/ROW]
[ROW][C]0.63[/C][C]8.86283065840585[/C][C]0.0704391542948574[/C][/ROW]
[ROW][C]0.64[/C][C]8.87506471527513[/C][C]0.0622786939360885[/C][/ROW]
[ROW][C]0.65[/C][C]8.88592367820608[/C][C]0.0546030844079567[/C][/ROW]
[ROW][C]0.66[/C][C]8.89551397634492[/C][C]0.0476353351500383[/C][/ROW]
[ROW][C]0.67[/C][C]8.90397075472[/C][C]0.0415101783170349[/C][/ROW]
[ROW][C]0.68[/C][C]8.91144570111479[/C][C]0.0363003687251327[/C][/ROW]
[ROW][C]0.69[/C][C]8.91809529414605[/C][C]0.03200183908084[/C][/ROW]
[ROW][C]0.7[/C][C]8.92407107165515[/C][C]0.02854215429364[/C][/ROW]
[ROW][C]0.71[/C][C]8.92951278141555[/C][C]0.0258175354535594[/C][/ROW]
[ROW][C]0.72[/C][C]8.93454446170575[/C][C]0.0237273636570941[/C][/ROW]
[ROW][C]0.73[/C][C]8.93927283082693[/C][C]0.0221612443621099[/C][/ROW]
[ROW][C]0.74[/C][C]8.94378701695268[/C][C]0.0210146761040225[/C][/ROW]
[ROW][C]0.75[/C][C]8.94815871065362[/C][C]0.0202053501797865[/C][/ROW]
[ROW][C]0.76[/C][C]8.95244222722631[/C][C]0.0196415799434477[/C][/ROW]
[ROW][C]0.77[/C][C]8.95667456299231[/C][C]0.0192313074809263[/C][/ROW]
[ROW][C]0.78[/C][C]8.96087608074567[/C][C]0.0188904328702672[/C][/ROW]
[ROW][C]0.79[/C][C]8.96505271776221[/C][C]0.0185191216100799[/C][/ROW]
[ROW][C]0.8[/C][C]8.96920040194038[/C][C]0.0180730965936754[/C][/ROW]
[ROW][C]0.81[/C][C]8.97331166320816[/C][C]0.0175316154330865[/C][/ROW]
[ROW][C]0.82[/C][C]8.97738340875997[/C][C]0.0169158242077366[/C][/ROW]
[ROW][C]0.83[/C][C]8.98142385330856[/C][C]0.016305178743416[/C][/ROW]
[ROW][C]0.84[/C][C]8.98545614066295[/C][C]0.0157857297951263[/C][/ROW]
[ROW][C]0.85[/C][C]8.98951671833091[/C][C]0.0154378589869164[/C][/ROW]
[ROW][C]0.86[/C][C]8.99364826665612[/C][C]0.0152916136647322[/C][/ROW]
[ROW][C]0.87[/C][C]8.9978897423251[/C][C]0.0152900357346478[/C][/ROW]
[ROW][C]0.88[/C][C]9.0022691120874[/C][C]0.0153283271356905[/C][/ROW]
[ROW][C]0.89[/C][C]9.00680630364895[/C][C]0.0152835227840361[/C][/ROW]
[ROW][C]0.9[/C][C]9.01153305710332[/C][C]0.0151145160856473[/C][/ROW]
[ROW][C]0.91[/C][C]9.01653092153266[/C][C]0.0149371907935571[/C][/ROW]
[ROW][C]0.92[/C][C]9.02197757238885[/C][C]0.0150767987113724[/C][/ROW]
[ROW][C]0.93[/C][C]9.02817674138366[/C][C]0.0159851119417228[/C][/ROW]
[ROW][C]0.94[/C][C]9.03553638461869[/C][C]0.0179539630444007[/C][/ROW]
[ROW][C]0.95[/C][C]9.04446768529383[/C][C]0.0206676661614934[/C][/ROW]
[ROW][C]0.96[/C][C]9.05520967160071[/C][C]0.0230698590131717[/C][/ROW]
[ROW][C]0.97[/C][C]9.06760265045215[/C][C]0.0238342278693958[/C][/ROW]
[ROW][C]0.98[/C][C]9.08076962833813[/C][C]0.0224357414214995[/C][/ROW]
[ROW][C]0.99[/C][C]9.09265029622478[/C][C]0.0203787684931277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175050&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
0.017.689267132445560.0532292746200336
0.027.720603019390290.0595030443174299
0.037.75553534417520.0629114295318162
0.047.789076962920440.0633342903309345
0.057.819729601964080.0635896788802177
0.067.847669621280260.0646550164164086
0.077.873416559480180.0654411563462042
0.087.897249636057910.0645938628354591
0.097.919134287848990.0616038754120867
0.17.938887544645160.0568531616743191
0.117.956373719851410.0511877780568466
0.127.971621491875710.0455488387047391
0.137.98484399814570.0407054210398223
0.147.996392842426760.0371510401448796
0.158.006686562838090.035106310377471
0.168.016143093146570.0344654849648506
0.178.02513083870610.0349738368024581
0.188.033942006113820.0362710777081963
0.198.042785831486090.0380357009632393
0.28.05179676441610.039997295516012
0.218.061051888067860.0420174996135956
0.228.070592056884460.0440656329257867
0.238.080442110058470.0461718551755536
0.248.090626887181620.0484376437114453
0.258.101181361298790.0509383860698501
0.268.112154686389280.0537863246252548
0.278.123609074072310.0570410090408714
0.288.135615067960610.0607201780523732
0.298.148245020650080.0648111305319365
0.38.161566512905370.0692496314913949
0.318.17563718531530.0739615295601073
0.328.190502022269120.0788545904517926
0.338.206193544748480.0838380895198632
0.348.222734661146560.0888834619203083
0.358.240143191583080.093979311293837
0.368.258436492653810.0991649281941853
0.378.277634366290390.104489652243744
0.388.297758687240390.10999281204016
0.398.318828948380710.11570274274594
0.48.340854053301610.121497229577196
0.418.363821886832240.127229413059879
0.428.38768910686910.132636702437988
0.438.412373914824990.137445721096276
0.448.43775412398930.141350294349877
0.458.463671720300890.144147396982965
0.468.489943574095070.145698092155192
0.478.516376423560440.146015413666266
0.488.542783133315020.145195925676076
0.498.568996845390550.143435622158096
0.58.59488009480130.140999164099749
0.518.620327139484890.138120897334203
0.528.645259348274330.134964398112501
0.538.669615096728710.131609944023959
0.548.693336848850940.128050970890011
0.558.716358675049380.12416086909254
0.568.738597268434280.119785978952307
0.578.759948652807640.114762286132734
0.588.780291457410650.108972519954095
0.598.79949618181620.102387326065237
0.68.817438613051280.0950454170487412
0.618.834014746085340.0871122226584887
0.628.8491543434920.0788136654908384
0.638.862830658405850.0704391542948574
0.648.875064715275130.0622786939360885
0.658.885923678206080.0546030844079567
0.668.895513976344920.0476353351500383
0.678.903970754720.0415101783170349
0.688.911445701114790.0363003687251327
0.698.918095294146050.03200183908084
0.78.924071071655150.02854215429364
0.718.929512781415550.0258175354535594
0.728.934544461705750.0237273636570941
0.738.939272830826930.0221612443621099
0.748.943787016952680.0210146761040225
0.758.948158710653620.0202053501797865
0.768.952442227226310.0196415799434477
0.778.956674562992310.0192313074809263
0.788.960876080745670.0188904328702672
0.798.965052717762210.0185191216100799
0.88.969200401940380.0180730965936754
0.818.973311663208160.0175316154330865
0.828.977383408759970.0169158242077366
0.838.981423853308560.016305178743416
0.848.985456140662950.0157857297951263
0.858.989516718330910.0154378589869164
0.868.993648266656120.0152916136647322
0.878.99788974232510.0152900357346478
0.889.00226911208740.0153283271356905
0.899.006806303648950.0152835227840361
0.99.011533057103320.0151145160856473
0.919.016530921532660.0149371907935571
0.929.021977572388850.0150767987113724
0.939.028176741383660.0159851119417228
0.949.035536384618690.0179539630444007
0.959.044467685293830.0206676661614934
0.969.055209671600710.0230698590131717
0.979.067602650452150.0238342278693958
0.989.080769628338130.0224357414214995
0.999.092650296224780.0203787684931277


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')