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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 computationFri, 09 Oct 2015 10:41:56 +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/09/t1444383820xbxk6ne8rek7cok.htm/, Retrieved Tue, 14 May 2024 17:55:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281776, Retrieved Tue, 14 May 2024 17:55:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2015-10-09 09:41:56] [9ae86903c100cf8412a224b1f49cfd85] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91.04
91.37
91.36
91.4
91.54
91.57
91.57
91.47
91.55
91.71
91.71
92.12
93.28
94.02
94.26
94.19
94.34
94.62
94.9
96.08
96.85
96.61
96.47
96.68
96.43
96.35
96.14
95.39
95.08
94.86
94.8
95.62
96.35
96.77
96.97
96.78
97.71
98.04
98.41
100.05
100.9
100.61
100.71
100.06
100.57
101.03
100.93
100.98
100.46
101.52
101.29
101.84
102.03
101.72
102.23
102.38
102.5
101.5
101.96
101.61

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=281776&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=281776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281776&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
0.0191.10516875061350.257074769679429
0.0291.19313914059230.18258955837662
0.0391.27448695651870.121103881654421
0.0491.33728014460230.0863724043214596
0.0591.38337835635080.0763491438710898
0.0691.41933775356110.0796087611898499
0.0791.45101827919830.0883791564387702
0.0891.48239029207820.102178829640038
0.0991.51629253916920.124828027024608
0.191.55542689612420.161593334392589
0.1191.60291689451390.216560528779036
0.1291.66236132732040.291448177958428
0.1391.7375213627060.385398489879001
0.1491.83180910260560.494996959785612
0.1591.94772794271910.614140657794686
0.1692.08639166318930.734563348509523
0.1792.24722168492120.847230343913303
0.1892.42788494953240.943332157895683
0.1992.62448829027341.01576152618115
0.292.83199577518471.05956161580836
0.2193.04479392463971.07362993326868
0.2293.25730566918031.05964173401924
0.2393.46455241231811.02228741207164
0.2493.66258316730370.967779128490142
0.2593.84872346750050.903558922976286
0.2694.02163480383250.836525847703317
0.2794.18120838171380.773018253575346
0.2894.3283387273440.717830102940381
0.2994.46463100640990.673860616398224
0.394.59209253808420.642394053254429
0.3194.7128479479740.623127274120401
0.3294.82890336907310.61439647580972
0.3394.94197190503170.613530478216827
0.3495.05336245836580.617928851185431
0.3595.16392759644360.624489859308491
0.3695.27406278970390.630579158979381
0.3795.38374798810670.633905467932722
0.3895.49262203805230.632659530181669
0.3995.60008022503250.62592297621192
0.495.7053850841160.613326892673886
0.4195.80778072956380.595095761320446
0.4295.90660161359540.572390308298628
0.4396.00136802693650.546424171408775
0.4496.0918627583640.519337699054928
0.4596.17818584191470.493112364970355
0.4696.26078677545430.470282299810899
0.4796.34047550546710.453122950589067
0.4896.41841447941920.444191095617703
0.4996.49609404642590.445471375087341
0.596.57529259902870.459165170613377
0.5196.65802150387830.486372323639814
0.5296.74645363120430.527808492021618
0.5396.84283374430650.583499096206686
0.5496.94936960673180.652660803659982
0.5597.06810461405780.733286121857188
0.5697.20077594439340.823182742408708
0.5797.34866619711360.919031439065375
0.5897.51246052341251.01636247762382
0.5997.69212445179221.11074192540018
0.697.88681908255641.19713282851337
0.6198.09486935844031.27039443103497
0.6298.31379736686951.32594421129195
0.6398.54042624248251.35998241716636
0.6498.7710519153181.36993870700978
0.6599.00167088221111.35474221795986
0.6699.22824387371211.31495227324302
0.6799.44696928810251.25295430772188
0.6899.65453780971051.17240039064774
0.6999.84834135253351.07807656310053
0.7100.0266151972110.975455861480517
0.71100.188500928190.870123442497238
0.72100.3340279261850.767291632948222
0.73100.4640209009510.67154767705996
0.74100.5799486700620.586292686315565
0.75100.6837341426280.514005764708563
0.76100.7775471156110.455648239567831
0.77100.8636006201810.411081285103375
0.78100.9439691129550.37895408152838
0.79101.0204436146180.357045024858429
0.8101.0944352651940.342375802522708
0.81101.166934403010.332092611221237
0.82101.2385266226230.323523320993897
0.83101.3094601276790.314744320380552
0.84101.3797508732870.304636148615691
0.85101.4493055184870.292884813000184
0.86101.5180397851480.279935652554775
0.87101.5859734460330.266624859624126
0.88101.6532923881480.253764609297925
0.89101.7203789541320.242091987739729
0.9101.7878171171110.232119159947113
0.91101.8563728172650.2240667574318
0.92101.926932632330.218094788751412
0.93102.0003681012360.21409240191535
0.94102.0772973741930.210897285870872
0.95102.1577423904420.20581258905532
0.96102.2406813492120.195032283087536
0.97102.3234044780330.175683550170978
0.98102.4005175612880.149921130798297
0.99102.4630368833920.12761401933169

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.1051687506135 & 0.257074769679429 \tabularnewline
0.02 & 91.1931391405923 & 0.18258955837662 \tabularnewline
0.03 & 91.2744869565187 & 0.121103881654421 \tabularnewline
0.04 & 91.3372801446023 & 0.0863724043214596 \tabularnewline
0.05 & 91.3833783563508 & 0.0763491438710898 \tabularnewline
0.06 & 91.4193377535611 & 0.0796087611898499 \tabularnewline
0.07 & 91.4510182791983 & 0.0883791564387702 \tabularnewline
0.08 & 91.4823902920782 & 0.102178829640038 \tabularnewline
0.09 & 91.5162925391692 & 0.124828027024608 \tabularnewline
0.1 & 91.5554268961242 & 0.161593334392589 \tabularnewline
0.11 & 91.6029168945139 & 0.216560528779036 \tabularnewline
0.12 & 91.6623613273204 & 0.291448177958428 \tabularnewline
0.13 & 91.737521362706 & 0.385398489879001 \tabularnewline
0.14 & 91.8318091026056 & 0.494996959785612 \tabularnewline
0.15 & 91.9477279427191 & 0.614140657794686 \tabularnewline
0.16 & 92.0863916631893 & 0.734563348509523 \tabularnewline
0.17 & 92.2472216849212 & 0.847230343913303 \tabularnewline
0.18 & 92.4278849495324 & 0.943332157895683 \tabularnewline
0.19 & 92.6244882902734 & 1.01576152618115 \tabularnewline
0.2 & 92.8319957751847 & 1.05956161580836 \tabularnewline
0.21 & 93.0447939246397 & 1.07362993326868 \tabularnewline
0.22 & 93.2573056691803 & 1.05964173401924 \tabularnewline
0.23 & 93.4645524123181 & 1.02228741207164 \tabularnewline
0.24 & 93.6625831673037 & 0.967779128490142 \tabularnewline
0.25 & 93.8487234675005 & 0.903558922976286 \tabularnewline
0.26 & 94.0216348038325 & 0.836525847703317 \tabularnewline
0.27 & 94.1812083817138 & 0.773018253575346 \tabularnewline
0.28 & 94.328338727344 & 0.717830102940381 \tabularnewline
0.29 & 94.4646310064099 & 0.673860616398224 \tabularnewline
0.3 & 94.5920925380842 & 0.642394053254429 \tabularnewline
0.31 & 94.712847947974 & 0.623127274120401 \tabularnewline
0.32 & 94.8289033690731 & 0.61439647580972 \tabularnewline
0.33 & 94.9419719050317 & 0.613530478216827 \tabularnewline
0.34 & 95.0533624583658 & 0.617928851185431 \tabularnewline
0.35 & 95.1639275964436 & 0.624489859308491 \tabularnewline
0.36 & 95.2740627897039 & 0.630579158979381 \tabularnewline
0.37 & 95.3837479881067 & 0.633905467932722 \tabularnewline
0.38 & 95.4926220380523 & 0.632659530181669 \tabularnewline
0.39 & 95.6000802250325 & 0.62592297621192 \tabularnewline
0.4 & 95.705385084116 & 0.613326892673886 \tabularnewline
0.41 & 95.8077807295638 & 0.595095761320446 \tabularnewline
0.42 & 95.9066016135954 & 0.572390308298628 \tabularnewline
0.43 & 96.0013680269365 & 0.546424171408775 \tabularnewline
0.44 & 96.091862758364 & 0.519337699054928 \tabularnewline
0.45 & 96.1781858419147 & 0.493112364970355 \tabularnewline
0.46 & 96.2607867754543 & 0.470282299810899 \tabularnewline
0.47 & 96.3404755054671 & 0.453122950589067 \tabularnewline
0.48 & 96.4184144794192 & 0.444191095617703 \tabularnewline
0.49 & 96.4960940464259 & 0.445471375087341 \tabularnewline
0.5 & 96.5752925990287 & 0.459165170613377 \tabularnewline
0.51 & 96.6580215038783 & 0.486372323639814 \tabularnewline
0.52 & 96.7464536312043 & 0.527808492021618 \tabularnewline
0.53 & 96.8428337443065 & 0.583499096206686 \tabularnewline
0.54 & 96.9493696067318 & 0.652660803659982 \tabularnewline
0.55 & 97.0681046140578 & 0.733286121857188 \tabularnewline
0.56 & 97.2007759443934 & 0.823182742408708 \tabularnewline
0.57 & 97.3486661971136 & 0.919031439065375 \tabularnewline
0.58 & 97.5124605234125 & 1.01636247762382 \tabularnewline
0.59 & 97.6921244517922 & 1.11074192540018 \tabularnewline
0.6 & 97.8868190825564 & 1.19713282851337 \tabularnewline
0.61 & 98.0948693584403 & 1.27039443103497 \tabularnewline
0.62 & 98.3137973668695 & 1.32594421129195 \tabularnewline
0.63 & 98.5404262424825 & 1.35998241716636 \tabularnewline
0.64 & 98.771051915318 & 1.36993870700978 \tabularnewline
0.65 & 99.0016708822111 & 1.35474221795986 \tabularnewline
0.66 & 99.2282438737121 & 1.31495227324302 \tabularnewline
0.67 & 99.4469692881025 & 1.25295430772188 \tabularnewline
0.68 & 99.6545378097105 & 1.17240039064774 \tabularnewline
0.69 & 99.8483413525335 & 1.07807656310053 \tabularnewline
0.7 & 100.026615197211 & 0.975455861480517 \tabularnewline
0.71 & 100.18850092819 & 0.870123442497238 \tabularnewline
0.72 & 100.334027926185 & 0.767291632948222 \tabularnewline
0.73 & 100.464020900951 & 0.67154767705996 \tabularnewline
0.74 & 100.579948670062 & 0.586292686315565 \tabularnewline
0.75 & 100.683734142628 & 0.514005764708563 \tabularnewline
0.76 & 100.777547115611 & 0.455648239567831 \tabularnewline
0.77 & 100.863600620181 & 0.411081285103375 \tabularnewline
0.78 & 100.943969112955 & 0.37895408152838 \tabularnewline
0.79 & 101.020443614618 & 0.357045024858429 \tabularnewline
0.8 & 101.094435265194 & 0.342375802522708 \tabularnewline
0.81 & 101.16693440301 & 0.332092611221237 \tabularnewline
0.82 & 101.238526622623 & 0.323523320993897 \tabularnewline
0.83 & 101.309460127679 & 0.314744320380552 \tabularnewline
0.84 & 101.379750873287 & 0.304636148615691 \tabularnewline
0.85 & 101.449305518487 & 0.292884813000184 \tabularnewline
0.86 & 101.518039785148 & 0.279935652554775 \tabularnewline
0.87 & 101.585973446033 & 0.266624859624126 \tabularnewline
0.88 & 101.653292388148 & 0.253764609297925 \tabularnewline
0.89 & 101.720378954132 & 0.242091987739729 \tabularnewline
0.9 & 101.787817117111 & 0.232119159947113 \tabularnewline
0.91 & 101.856372817265 & 0.2240667574318 \tabularnewline
0.92 & 101.92693263233 & 0.218094788751412 \tabularnewline
0.93 & 102.000368101236 & 0.21409240191535 \tabularnewline
0.94 & 102.077297374193 & 0.210897285870872 \tabularnewline
0.95 & 102.157742390442 & 0.20581258905532 \tabularnewline
0.96 & 102.240681349212 & 0.195032283087536 \tabularnewline
0.97 & 102.323404478033 & 0.175683550170978 \tabularnewline
0.98 & 102.400517561288 & 0.149921130798297 \tabularnewline
0.99 & 102.463036883392 & 0.12761401933169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281776&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]91.1051687506135[/C][C]0.257074769679429[/C][/ROW]
[ROW][C]0.02[/C][C]91.1931391405923[/C][C]0.18258955837662[/C][/ROW]
[ROW][C]0.03[/C][C]91.2744869565187[/C][C]0.121103881654421[/C][/ROW]
[ROW][C]0.04[/C][C]91.3372801446023[/C][C]0.0863724043214596[/C][/ROW]
[ROW][C]0.05[/C][C]91.3833783563508[/C][C]0.0763491438710898[/C][/ROW]
[ROW][C]0.06[/C][C]91.4193377535611[/C][C]0.0796087611898499[/C][/ROW]
[ROW][C]0.07[/C][C]91.4510182791983[/C][C]0.0883791564387702[/C][/ROW]
[ROW][C]0.08[/C][C]91.4823902920782[/C][C]0.102178829640038[/C][/ROW]
[ROW][C]0.09[/C][C]91.5162925391692[/C][C]0.124828027024608[/C][/ROW]
[ROW][C]0.1[/C][C]91.5554268961242[/C][C]0.161593334392589[/C][/ROW]
[ROW][C]0.11[/C][C]91.6029168945139[/C][C]0.216560528779036[/C][/ROW]
[ROW][C]0.12[/C][C]91.6623613273204[/C][C]0.291448177958428[/C][/ROW]
[ROW][C]0.13[/C][C]91.737521362706[/C][C]0.385398489879001[/C][/ROW]
[ROW][C]0.14[/C][C]91.8318091026056[/C][C]0.494996959785612[/C][/ROW]
[ROW][C]0.15[/C][C]91.9477279427191[/C][C]0.614140657794686[/C][/ROW]
[ROW][C]0.16[/C][C]92.0863916631893[/C][C]0.734563348509523[/C][/ROW]
[ROW][C]0.17[/C][C]92.2472216849212[/C][C]0.847230343913303[/C][/ROW]
[ROW][C]0.18[/C][C]92.4278849495324[/C][C]0.943332157895683[/C][/ROW]
[ROW][C]0.19[/C][C]92.6244882902734[/C][C]1.01576152618115[/C][/ROW]
[ROW][C]0.2[/C][C]92.8319957751847[/C][C]1.05956161580836[/C][/ROW]
[ROW][C]0.21[/C][C]93.0447939246397[/C][C]1.07362993326868[/C][/ROW]
[ROW][C]0.22[/C][C]93.2573056691803[/C][C]1.05964173401924[/C][/ROW]
[ROW][C]0.23[/C][C]93.4645524123181[/C][C]1.02228741207164[/C][/ROW]
[ROW][C]0.24[/C][C]93.6625831673037[/C][C]0.967779128490142[/C][/ROW]
[ROW][C]0.25[/C][C]93.8487234675005[/C][C]0.903558922976286[/C][/ROW]
[ROW][C]0.26[/C][C]94.0216348038325[/C][C]0.836525847703317[/C][/ROW]
[ROW][C]0.27[/C][C]94.1812083817138[/C][C]0.773018253575346[/C][/ROW]
[ROW][C]0.28[/C][C]94.328338727344[/C][C]0.717830102940381[/C][/ROW]
[ROW][C]0.29[/C][C]94.4646310064099[/C][C]0.673860616398224[/C][/ROW]
[ROW][C]0.3[/C][C]94.5920925380842[/C][C]0.642394053254429[/C][/ROW]
[ROW][C]0.31[/C][C]94.712847947974[/C][C]0.623127274120401[/C][/ROW]
[ROW][C]0.32[/C][C]94.8289033690731[/C][C]0.61439647580972[/C][/ROW]
[ROW][C]0.33[/C][C]94.9419719050317[/C][C]0.613530478216827[/C][/ROW]
[ROW][C]0.34[/C][C]95.0533624583658[/C][C]0.617928851185431[/C][/ROW]
[ROW][C]0.35[/C][C]95.1639275964436[/C][C]0.624489859308491[/C][/ROW]
[ROW][C]0.36[/C][C]95.2740627897039[/C][C]0.630579158979381[/C][/ROW]
[ROW][C]0.37[/C][C]95.3837479881067[/C][C]0.633905467932722[/C][/ROW]
[ROW][C]0.38[/C][C]95.4926220380523[/C][C]0.632659530181669[/C][/ROW]
[ROW][C]0.39[/C][C]95.6000802250325[/C][C]0.62592297621192[/C][/ROW]
[ROW][C]0.4[/C][C]95.705385084116[/C][C]0.613326892673886[/C][/ROW]
[ROW][C]0.41[/C][C]95.8077807295638[/C][C]0.595095761320446[/C][/ROW]
[ROW][C]0.42[/C][C]95.9066016135954[/C][C]0.572390308298628[/C][/ROW]
[ROW][C]0.43[/C][C]96.0013680269365[/C][C]0.546424171408775[/C][/ROW]
[ROW][C]0.44[/C][C]96.091862758364[/C][C]0.519337699054928[/C][/ROW]
[ROW][C]0.45[/C][C]96.1781858419147[/C][C]0.493112364970355[/C][/ROW]
[ROW][C]0.46[/C][C]96.2607867754543[/C][C]0.470282299810899[/C][/ROW]
[ROW][C]0.47[/C][C]96.3404755054671[/C][C]0.453122950589067[/C][/ROW]
[ROW][C]0.48[/C][C]96.4184144794192[/C][C]0.444191095617703[/C][/ROW]
[ROW][C]0.49[/C][C]96.4960940464259[/C][C]0.445471375087341[/C][/ROW]
[ROW][C]0.5[/C][C]96.5752925990287[/C][C]0.459165170613377[/C][/ROW]
[ROW][C]0.51[/C][C]96.6580215038783[/C][C]0.486372323639814[/C][/ROW]
[ROW][C]0.52[/C][C]96.7464536312043[/C][C]0.527808492021618[/C][/ROW]
[ROW][C]0.53[/C][C]96.8428337443065[/C][C]0.583499096206686[/C][/ROW]
[ROW][C]0.54[/C][C]96.9493696067318[/C][C]0.652660803659982[/C][/ROW]
[ROW][C]0.55[/C][C]97.0681046140578[/C][C]0.733286121857188[/C][/ROW]
[ROW][C]0.56[/C][C]97.2007759443934[/C][C]0.823182742408708[/C][/ROW]
[ROW][C]0.57[/C][C]97.3486661971136[/C][C]0.919031439065375[/C][/ROW]
[ROW][C]0.58[/C][C]97.5124605234125[/C][C]1.01636247762382[/C][/ROW]
[ROW][C]0.59[/C][C]97.6921244517922[/C][C]1.11074192540018[/C][/ROW]
[ROW][C]0.6[/C][C]97.8868190825564[/C][C]1.19713282851337[/C][/ROW]
[ROW][C]0.61[/C][C]98.0948693584403[/C][C]1.27039443103497[/C][/ROW]
[ROW][C]0.62[/C][C]98.3137973668695[/C][C]1.32594421129195[/C][/ROW]
[ROW][C]0.63[/C][C]98.5404262424825[/C][C]1.35998241716636[/C][/ROW]
[ROW][C]0.64[/C][C]98.771051915318[/C][C]1.36993870700978[/C][/ROW]
[ROW][C]0.65[/C][C]99.0016708822111[/C][C]1.35474221795986[/C][/ROW]
[ROW][C]0.66[/C][C]99.2282438737121[/C][C]1.31495227324302[/C][/ROW]
[ROW][C]0.67[/C][C]99.4469692881025[/C][C]1.25295430772188[/C][/ROW]
[ROW][C]0.68[/C][C]99.6545378097105[/C][C]1.17240039064774[/C][/ROW]
[ROW][C]0.69[/C][C]99.8483413525335[/C][C]1.07807656310053[/C][/ROW]
[ROW][C]0.7[/C][C]100.026615197211[/C][C]0.975455861480517[/C][/ROW]
[ROW][C]0.71[/C][C]100.18850092819[/C][C]0.870123442497238[/C][/ROW]
[ROW][C]0.72[/C][C]100.334027926185[/C][C]0.767291632948222[/C][/ROW]
[ROW][C]0.73[/C][C]100.464020900951[/C][C]0.67154767705996[/C][/ROW]
[ROW][C]0.74[/C][C]100.579948670062[/C][C]0.586292686315565[/C][/ROW]
[ROW][C]0.75[/C][C]100.683734142628[/C][C]0.514005764708563[/C][/ROW]
[ROW][C]0.76[/C][C]100.777547115611[/C][C]0.455648239567831[/C][/ROW]
[ROW][C]0.77[/C][C]100.863600620181[/C][C]0.411081285103375[/C][/ROW]
[ROW][C]0.78[/C][C]100.943969112955[/C][C]0.37895408152838[/C][/ROW]
[ROW][C]0.79[/C][C]101.020443614618[/C][C]0.357045024858429[/C][/ROW]
[ROW][C]0.8[/C][C]101.094435265194[/C][C]0.342375802522708[/C][/ROW]
[ROW][C]0.81[/C][C]101.16693440301[/C][C]0.332092611221237[/C][/ROW]
[ROW][C]0.82[/C][C]101.238526622623[/C][C]0.323523320993897[/C][/ROW]
[ROW][C]0.83[/C][C]101.309460127679[/C][C]0.314744320380552[/C][/ROW]
[ROW][C]0.84[/C][C]101.379750873287[/C][C]0.304636148615691[/C][/ROW]
[ROW][C]0.85[/C][C]101.449305518487[/C][C]0.292884813000184[/C][/ROW]
[ROW][C]0.86[/C][C]101.518039785148[/C][C]0.279935652554775[/C][/ROW]
[ROW][C]0.87[/C][C]101.585973446033[/C][C]0.266624859624126[/C][/ROW]
[ROW][C]0.88[/C][C]101.653292388148[/C][C]0.253764609297925[/C][/ROW]
[ROW][C]0.89[/C][C]101.720378954132[/C][C]0.242091987739729[/C][/ROW]
[ROW][C]0.9[/C][C]101.787817117111[/C][C]0.232119159947113[/C][/ROW]
[ROW][C]0.91[/C][C]101.856372817265[/C][C]0.2240667574318[/C][/ROW]
[ROW][C]0.92[/C][C]101.92693263233[/C][C]0.218094788751412[/C][/ROW]
[ROW][C]0.93[/C][C]102.000368101236[/C][C]0.21409240191535[/C][/ROW]
[ROW][C]0.94[/C][C]102.077297374193[/C][C]0.210897285870872[/C][/ROW]
[ROW][C]0.95[/C][C]102.157742390442[/C][C]0.20581258905532[/C][/ROW]
[ROW][C]0.96[/C][C]102.240681349212[/C][C]0.195032283087536[/C][/ROW]
[ROW][C]0.97[/C][C]102.323404478033[/C][C]0.175683550170978[/C][/ROW]
[ROW][C]0.98[/C][C]102.400517561288[/C][C]0.149921130798297[/C][/ROW]
[ROW][C]0.99[/C][C]102.463036883392[/C][C]0.12761401933169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281776&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
0.0191.10516875061350.257074769679429
0.0291.19313914059230.18258955837662
0.0391.27448695651870.121103881654421
0.0491.33728014460230.0863724043214596
0.0591.38337835635080.0763491438710898
0.0691.41933775356110.0796087611898499
0.0791.45101827919830.0883791564387702
0.0891.48239029207820.102178829640038
0.0991.51629253916920.124828027024608
0.191.55542689612420.161593334392589
0.1191.60291689451390.216560528779036
0.1291.66236132732040.291448177958428
0.1391.7375213627060.385398489879001
0.1491.83180910260560.494996959785612
0.1591.94772794271910.614140657794686
0.1692.08639166318930.734563348509523
0.1792.24722168492120.847230343913303
0.1892.42788494953240.943332157895683
0.1992.62448829027341.01576152618115
0.292.83199577518471.05956161580836
0.2193.04479392463971.07362993326868
0.2293.25730566918031.05964173401924
0.2393.46455241231811.02228741207164
0.2493.66258316730370.967779128490142
0.2593.84872346750050.903558922976286
0.2694.02163480383250.836525847703317
0.2794.18120838171380.773018253575346
0.2894.3283387273440.717830102940381
0.2994.46463100640990.673860616398224
0.394.59209253808420.642394053254429
0.3194.7128479479740.623127274120401
0.3294.82890336907310.61439647580972
0.3394.94197190503170.613530478216827
0.3495.05336245836580.617928851185431
0.3595.16392759644360.624489859308491
0.3695.27406278970390.630579158979381
0.3795.38374798810670.633905467932722
0.3895.49262203805230.632659530181669
0.3995.60008022503250.62592297621192
0.495.7053850841160.613326892673886
0.4195.80778072956380.595095761320446
0.4295.90660161359540.572390308298628
0.4396.00136802693650.546424171408775
0.4496.0918627583640.519337699054928
0.4596.17818584191470.493112364970355
0.4696.26078677545430.470282299810899
0.4796.34047550546710.453122950589067
0.4896.41841447941920.444191095617703
0.4996.49609404642590.445471375087341
0.596.57529259902870.459165170613377
0.5196.65802150387830.486372323639814
0.5296.74645363120430.527808492021618
0.5396.84283374430650.583499096206686
0.5496.94936960673180.652660803659982
0.5597.06810461405780.733286121857188
0.5697.20077594439340.823182742408708
0.5797.34866619711360.919031439065375
0.5897.51246052341251.01636247762382
0.5997.69212445179221.11074192540018
0.697.88681908255641.19713282851337
0.6198.09486935844031.27039443103497
0.6298.31379736686951.32594421129195
0.6398.54042624248251.35998241716636
0.6498.7710519153181.36993870700978
0.6599.00167088221111.35474221795986
0.6699.22824387371211.31495227324302
0.6799.44696928810251.25295430772188
0.6899.65453780971051.17240039064774
0.6999.84834135253351.07807656310053
0.7100.0266151972110.975455861480517
0.71100.188500928190.870123442497238
0.72100.3340279261850.767291632948222
0.73100.4640209009510.67154767705996
0.74100.5799486700620.586292686315565
0.75100.6837341426280.514005764708563
0.76100.7775471156110.455648239567831
0.77100.8636006201810.411081285103375
0.78100.9439691129550.37895408152838
0.79101.0204436146180.357045024858429
0.8101.0944352651940.342375802522708
0.81101.166934403010.332092611221237
0.82101.2385266226230.323523320993897
0.83101.3094601276790.314744320380552
0.84101.3797508732870.304636148615691
0.85101.4493055184870.292884813000184
0.86101.5180397851480.279935652554775
0.87101.5859734460330.266624859624126
0.88101.6532923881480.253764609297925
0.89101.7203789541320.242091987739729
0.9101.7878171171110.232119159947113
0.91101.8563728172650.2240667574318
0.92101.926932632330.218094788751412
0.93102.0003681012360.21409240191535
0.94102.0772973741930.210897285870872
0.95102.1577423904420.20581258905532
0.96102.2406813492120.195032283087536
0.97102.3234044780330.175683550170978
0.98102.4005175612880.149921130798297
0.99102.4630368833920.12761401933169


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')