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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 computationMon, 15 Oct 2012 10:21:24 -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/15/t1350310935b01hvkq4y53po81.htm/, Retrieved Tue, 07 May 2024 14:00:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177079, Retrieved Tue, 07 May 2024 14:00:33 +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] [] [2012-10-15 14:18:52] [128e58518e3986e62ec69e9f9cf25987]
- R PD    [Harrell-Davis Quantiles] [] [2012-10-15 14:21:24] [b91e71fa3b5e2ab5567c9d258a8f1839] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49.98
50.12
50.37
50.39
50.34
50.32
50.32
50.32
50.67
50.86
50.95
51.02
51.02
51.06
50.9
51.23
51.29
51.3
51.3
51.3
51.46
51.47
51.77
51.82
51.82
51.84
51.9
51.94
52.22
52.27
52.27
52.28
52.53
52.73
52.72
52.67
52.67
52.65
52.69
52.73
52.84
52.83
52.83
52.84
52.82
53.09
53.4
53.43
53.43
53.42
53.6
53.69
54.05
54.04
54.04
54.08
54.05
54.39
54.38
54.46
54.46
54.69
54.91
55.52
56.01
56.07
56.07
56.09
56.29
56.45
56.87
56.87

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177079&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177079&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177079&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0150.03069584679450.141279226792275
0.0250.10771373191820.138308041270479
0.0350.1842926564830.119669759245795
0.0450.24668164522560.0938710592141576
0.0550.2941809180850.0783748076986179
0.0650.33276800806460.085084526427589
0.0750.36979507275320.111113996953289
0.0850.41106007846070.14688778346815
0.0950.45972318848720.184194980228971
0.150.5163467908440.216535692016218
0.1150.57950925742780.239289003034356
0.1250.64663975395550.250499887972293
0.1350.71484767839520.250920465467292
0.1450.78158946884190.243083855520142
0.1550.84507750505820.230713380025575
0.1650.9044110938970.217341098255541
0.1750.95948170336150.205740606182178
0.1851.01074832463890.197386234507282
0.1951.05898316683830.192625416255629
0.251.10506075638940.191127706294565
0.2151.14982313246260.192503807132475
0.2251.19401782815960.196305430493983
0.2351.23828409974860.202400509949644
0.2451.28315830199750.210633966869261
0.2551.3290770822890.220720651027683
0.2651.37637016857160.232032106802743
0.2751.42524638483010.243966471999747
0.2851.47578297444890.255642136665435
0.2951.52792823716740.266301550687912
0.351.58152239431410.275394956884458
0.3151.63633447032340.282774936360982
0.3251.69210692893460.288606410886656
0.3351.74859698089840.293105170034594
0.3451.80560452972230.29683855083703
0.3551.86298085109560.300108776809214
0.3651.92061762585680.30314914655949
0.3751.9784210219080.305906718017701
0.3852.0362787755750.308041107307408
0.3952.0940290926990.309067042398145
0.452.15143890559120.308498812822514
0.4152.20819634205740.305776874164153
0.4252.26391910361920.300486247327837
0.4352.31817757623140.292433008447659
0.4452.37052936055520.281661153551329
0.4552.4205606498820.268337304321246
0.4652.46792943050.2530234912884
0.4752.51240567088710.236354607340819
0.4852.55390433436130.219325039970663
0.4952.59250804198790.202906909805879
0.552.62847737782760.188110257859619
0.5152.66224800700850.176068951621524
0.5252.69441481828330.167833720710931
0.5352.72570411324610.164191830966927
0.5452.75693545369720.165683788161256
0.5552.78897526513020.172439948470599
0.5652.82268484847930.184196691162529
0.5752.85886618880640.20028316949737
0.5852.89820981550790.219735741042942
0.5952.94124969132590.24134652509878
0.652.98833025276960.263807382403825
0.6153.03958986835850.285968834919356
0.6253.09496294018840.306576722698443
0.6353.15419989450980.324767790957394
0.6453.21690110046840.339905026954199
0.6553.2825583255720.351655911992084
0.6653.35059661394880.359938420597378
0.6753.4204109013410.364826922561804
0.6853.4913949225140.366534032374225
0.6953.56296391851840.365211960180225
0.753.63457581480640.361122419773013
0.7153.70575665062530.354455031608686
0.7253.77613467781370.345694817069629
0.7353.84548442512240.335440674779774
0.7453.91377870260560.324806969645144
0.7553.98124458050130.315004925157317
0.7654.04841937442810.307567267624295
0.7754.11620342576580.304199211940565
0.7854.18590525791880.306638180505851
0.7954.25926859025890.316644529533632
0.854.33845880167280.335961182540376
0.8154.4259720960740.365833997097318
0.8254.52442231570740.406484287167235
0.8354.63617000761140.456191257721487
0.8454.76279646431250.510705311441923
0.8554.90449372021580.563240016186535
0.8655.05952554728260.604968980540042
0.8755.22398127640050.62674283798848
0.8855.39204874797730.621398596954012
0.8955.55693685192310.586195529978377
0.955.71237805190910.524851600886602
0.9155.85438785817320.447649113450126
0.9255.98274763353320.36992244251081
0.9356.10159508024430.308771105327965
0.9456.21855520910710.277577936495623
0.9556.34196592357490.277635815476073
0.9656.47608849548410.292338898971386
0.9756.61540623263350.289441367597727
0.9856.74183571261320.232551448395324
0.9956.83106669313340.11480251064727

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.0306958467945 & 0.141279226792275 \tabularnewline
0.02 & 50.1077137319182 & 0.138308041270479 \tabularnewline
0.03 & 50.184292656483 & 0.119669759245795 \tabularnewline
0.04 & 50.2466816452256 & 0.0938710592141576 \tabularnewline
0.05 & 50.294180918085 & 0.0783748076986179 \tabularnewline
0.06 & 50.3327680080646 & 0.085084526427589 \tabularnewline
0.07 & 50.3697950727532 & 0.111113996953289 \tabularnewline
0.08 & 50.4110600784607 & 0.14688778346815 \tabularnewline
0.09 & 50.4597231884872 & 0.184194980228971 \tabularnewline
0.1 & 50.516346790844 & 0.216535692016218 \tabularnewline
0.11 & 50.5795092574278 & 0.239289003034356 \tabularnewline
0.12 & 50.6466397539555 & 0.250499887972293 \tabularnewline
0.13 & 50.7148476783952 & 0.250920465467292 \tabularnewline
0.14 & 50.7815894688419 & 0.243083855520142 \tabularnewline
0.15 & 50.8450775050582 & 0.230713380025575 \tabularnewline
0.16 & 50.904411093897 & 0.217341098255541 \tabularnewline
0.17 & 50.9594817033615 & 0.205740606182178 \tabularnewline
0.18 & 51.0107483246389 & 0.197386234507282 \tabularnewline
0.19 & 51.0589831668383 & 0.192625416255629 \tabularnewline
0.2 & 51.1050607563894 & 0.191127706294565 \tabularnewline
0.21 & 51.1498231324626 & 0.192503807132475 \tabularnewline
0.22 & 51.1940178281596 & 0.196305430493983 \tabularnewline
0.23 & 51.2382840997486 & 0.202400509949644 \tabularnewline
0.24 & 51.2831583019975 & 0.210633966869261 \tabularnewline
0.25 & 51.329077082289 & 0.220720651027683 \tabularnewline
0.26 & 51.3763701685716 & 0.232032106802743 \tabularnewline
0.27 & 51.4252463848301 & 0.243966471999747 \tabularnewline
0.28 & 51.4757829744489 & 0.255642136665435 \tabularnewline
0.29 & 51.5279282371674 & 0.266301550687912 \tabularnewline
0.3 & 51.5815223943141 & 0.275394956884458 \tabularnewline
0.31 & 51.6363344703234 & 0.282774936360982 \tabularnewline
0.32 & 51.6921069289346 & 0.288606410886656 \tabularnewline
0.33 & 51.7485969808984 & 0.293105170034594 \tabularnewline
0.34 & 51.8056045297223 & 0.29683855083703 \tabularnewline
0.35 & 51.8629808510956 & 0.300108776809214 \tabularnewline
0.36 & 51.9206176258568 & 0.30314914655949 \tabularnewline
0.37 & 51.978421021908 & 0.305906718017701 \tabularnewline
0.38 & 52.036278775575 & 0.308041107307408 \tabularnewline
0.39 & 52.094029092699 & 0.309067042398145 \tabularnewline
0.4 & 52.1514389055912 & 0.308498812822514 \tabularnewline
0.41 & 52.2081963420574 & 0.305776874164153 \tabularnewline
0.42 & 52.2639191036192 & 0.300486247327837 \tabularnewline
0.43 & 52.3181775762314 & 0.292433008447659 \tabularnewline
0.44 & 52.3705293605552 & 0.281661153551329 \tabularnewline
0.45 & 52.420560649882 & 0.268337304321246 \tabularnewline
0.46 & 52.4679294305 & 0.2530234912884 \tabularnewline
0.47 & 52.5124056708871 & 0.236354607340819 \tabularnewline
0.48 & 52.5539043343613 & 0.219325039970663 \tabularnewline
0.49 & 52.5925080419879 & 0.202906909805879 \tabularnewline
0.5 & 52.6284773778276 & 0.188110257859619 \tabularnewline
0.51 & 52.6622480070085 & 0.176068951621524 \tabularnewline
0.52 & 52.6944148182833 & 0.167833720710931 \tabularnewline
0.53 & 52.7257041132461 & 0.164191830966927 \tabularnewline
0.54 & 52.7569354536972 & 0.165683788161256 \tabularnewline
0.55 & 52.7889752651302 & 0.172439948470599 \tabularnewline
0.56 & 52.8226848484793 & 0.184196691162529 \tabularnewline
0.57 & 52.8588661888064 & 0.20028316949737 \tabularnewline
0.58 & 52.8982098155079 & 0.219735741042942 \tabularnewline
0.59 & 52.9412496913259 & 0.24134652509878 \tabularnewline
0.6 & 52.9883302527696 & 0.263807382403825 \tabularnewline
0.61 & 53.0395898683585 & 0.285968834919356 \tabularnewline
0.62 & 53.0949629401884 & 0.306576722698443 \tabularnewline
0.63 & 53.1541998945098 & 0.324767790957394 \tabularnewline
0.64 & 53.2169011004684 & 0.339905026954199 \tabularnewline
0.65 & 53.282558325572 & 0.351655911992084 \tabularnewline
0.66 & 53.3505966139488 & 0.359938420597378 \tabularnewline
0.67 & 53.420410901341 & 0.364826922561804 \tabularnewline
0.68 & 53.491394922514 & 0.366534032374225 \tabularnewline
0.69 & 53.5629639185184 & 0.365211960180225 \tabularnewline
0.7 & 53.6345758148064 & 0.361122419773013 \tabularnewline
0.71 & 53.7057566506253 & 0.354455031608686 \tabularnewline
0.72 & 53.7761346778137 & 0.345694817069629 \tabularnewline
0.73 & 53.8454844251224 & 0.335440674779774 \tabularnewline
0.74 & 53.9137787026056 & 0.324806969645144 \tabularnewline
0.75 & 53.9812445805013 & 0.315004925157317 \tabularnewline
0.76 & 54.0484193744281 & 0.307567267624295 \tabularnewline
0.77 & 54.1162034257658 & 0.304199211940565 \tabularnewline
0.78 & 54.1859052579188 & 0.306638180505851 \tabularnewline
0.79 & 54.2592685902589 & 0.316644529533632 \tabularnewline
0.8 & 54.3384588016728 & 0.335961182540376 \tabularnewline
0.81 & 54.425972096074 & 0.365833997097318 \tabularnewline
0.82 & 54.5244223157074 & 0.406484287167235 \tabularnewline
0.83 & 54.6361700076114 & 0.456191257721487 \tabularnewline
0.84 & 54.7627964643125 & 0.510705311441923 \tabularnewline
0.85 & 54.9044937202158 & 0.563240016186535 \tabularnewline
0.86 & 55.0595255472826 & 0.604968980540042 \tabularnewline
0.87 & 55.2239812764005 & 0.62674283798848 \tabularnewline
0.88 & 55.3920487479773 & 0.621398596954012 \tabularnewline
0.89 & 55.5569368519231 & 0.586195529978377 \tabularnewline
0.9 & 55.7123780519091 & 0.524851600886602 \tabularnewline
0.91 & 55.8543878581732 & 0.447649113450126 \tabularnewline
0.92 & 55.9827476335332 & 0.36992244251081 \tabularnewline
0.93 & 56.1015950802443 & 0.308771105327965 \tabularnewline
0.94 & 56.2185552091071 & 0.277577936495623 \tabularnewline
0.95 & 56.3419659235749 & 0.277635815476073 \tabularnewline
0.96 & 56.4760884954841 & 0.292338898971386 \tabularnewline
0.97 & 56.6154062326335 & 0.289441367597727 \tabularnewline
0.98 & 56.7418357126132 & 0.232551448395324 \tabularnewline
0.99 & 56.8310666931334 & 0.11480251064727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177079&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]50.0306958467945[/C][C]0.141279226792275[/C][/ROW]
[ROW][C]0.02[/C][C]50.1077137319182[/C][C]0.138308041270479[/C][/ROW]
[ROW][C]0.03[/C][C]50.184292656483[/C][C]0.119669759245795[/C][/ROW]
[ROW][C]0.04[/C][C]50.2466816452256[/C][C]0.0938710592141576[/C][/ROW]
[ROW][C]0.05[/C][C]50.294180918085[/C][C]0.0783748076986179[/C][/ROW]
[ROW][C]0.06[/C][C]50.3327680080646[/C][C]0.085084526427589[/C][/ROW]
[ROW][C]0.07[/C][C]50.3697950727532[/C][C]0.111113996953289[/C][/ROW]
[ROW][C]0.08[/C][C]50.4110600784607[/C][C]0.14688778346815[/C][/ROW]
[ROW][C]0.09[/C][C]50.4597231884872[/C][C]0.184194980228971[/C][/ROW]
[ROW][C]0.1[/C][C]50.516346790844[/C][C]0.216535692016218[/C][/ROW]
[ROW][C]0.11[/C][C]50.5795092574278[/C][C]0.239289003034356[/C][/ROW]
[ROW][C]0.12[/C][C]50.6466397539555[/C][C]0.250499887972293[/C][/ROW]
[ROW][C]0.13[/C][C]50.7148476783952[/C][C]0.250920465467292[/C][/ROW]
[ROW][C]0.14[/C][C]50.7815894688419[/C][C]0.243083855520142[/C][/ROW]
[ROW][C]0.15[/C][C]50.8450775050582[/C][C]0.230713380025575[/C][/ROW]
[ROW][C]0.16[/C][C]50.904411093897[/C][C]0.217341098255541[/C][/ROW]
[ROW][C]0.17[/C][C]50.9594817033615[/C][C]0.205740606182178[/C][/ROW]
[ROW][C]0.18[/C][C]51.0107483246389[/C][C]0.197386234507282[/C][/ROW]
[ROW][C]0.19[/C][C]51.0589831668383[/C][C]0.192625416255629[/C][/ROW]
[ROW][C]0.2[/C][C]51.1050607563894[/C][C]0.191127706294565[/C][/ROW]
[ROW][C]0.21[/C][C]51.1498231324626[/C][C]0.192503807132475[/C][/ROW]
[ROW][C]0.22[/C][C]51.1940178281596[/C][C]0.196305430493983[/C][/ROW]
[ROW][C]0.23[/C][C]51.2382840997486[/C][C]0.202400509949644[/C][/ROW]
[ROW][C]0.24[/C][C]51.2831583019975[/C][C]0.210633966869261[/C][/ROW]
[ROW][C]0.25[/C][C]51.329077082289[/C][C]0.220720651027683[/C][/ROW]
[ROW][C]0.26[/C][C]51.3763701685716[/C][C]0.232032106802743[/C][/ROW]
[ROW][C]0.27[/C][C]51.4252463848301[/C][C]0.243966471999747[/C][/ROW]
[ROW][C]0.28[/C][C]51.4757829744489[/C][C]0.255642136665435[/C][/ROW]
[ROW][C]0.29[/C][C]51.5279282371674[/C][C]0.266301550687912[/C][/ROW]
[ROW][C]0.3[/C][C]51.5815223943141[/C][C]0.275394956884458[/C][/ROW]
[ROW][C]0.31[/C][C]51.6363344703234[/C][C]0.282774936360982[/C][/ROW]
[ROW][C]0.32[/C][C]51.6921069289346[/C][C]0.288606410886656[/C][/ROW]
[ROW][C]0.33[/C][C]51.7485969808984[/C][C]0.293105170034594[/C][/ROW]
[ROW][C]0.34[/C][C]51.8056045297223[/C][C]0.29683855083703[/C][/ROW]
[ROW][C]0.35[/C][C]51.8629808510956[/C][C]0.300108776809214[/C][/ROW]
[ROW][C]0.36[/C][C]51.9206176258568[/C][C]0.30314914655949[/C][/ROW]
[ROW][C]0.37[/C][C]51.978421021908[/C][C]0.305906718017701[/C][/ROW]
[ROW][C]0.38[/C][C]52.036278775575[/C][C]0.308041107307408[/C][/ROW]
[ROW][C]0.39[/C][C]52.094029092699[/C][C]0.309067042398145[/C][/ROW]
[ROW][C]0.4[/C][C]52.1514389055912[/C][C]0.308498812822514[/C][/ROW]
[ROW][C]0.41[/C][C]52.2081963420574[/C][C]0.305776874164153[/C][/ROW]
[ROW][C]0.42[/C][C]52.2639191036192[/C][C]0.300486247327837[/C][/ROW]
[ROW][C]0.43[/C][C]52.3181775762314[/C][C]0.292433008447659[/C][/ROW]
[ROW][C]0.44[/C][C]52.3705293605552[/C][C]0.281661153551329[/C][/ROW]
[ROW][C]0.45[/C][C]52.420560649882[/C][C]0.268337304321246[/C][/ROW]
[ROW][C]0.46[/C][C]52.4679294305[/C][C]0.2530234912884[/C][/ROW]
[ROW][C]0.47[/C][C]52.5124056708871[/C][C]0.236354607340819[/C][/ROW]
[ROW][C]0.48[/C][C]52.5539043343613[/C][C]0.219325039970663[/C][/ROW]
[ROW][C]0.49[/C][C]52.5925080419879[/C][C]0.202906909805879[/C][/ROW]
[ROW][C]0.5[/C][C]52.6284773778276[/C][C]0.188110257859619[/C][/ROW]
[ROW][C]0.51[/C][C]52.6622480070085[/C][C]0.176068951621524[/C][/ROW]
[ROW][C]0.52[/C][C]52.6944148182833[/C][C]0.167833720710931[/C][/ROW]
[ROW][C]0.53[/C][C]52.7257041132461[/C][C]0.164191830966927[/C][/ROW]
[ROW][C]0.54[/C][C]52.7569354536972[/C][C]0.165683788161256[/C][/ROW]
[ROW][C]0.55[/C][C]52.7889752651302[/C][C]0.172439948470599[/C][/ROW]
[ROW][C]0.56[/C][C]52.8226848484793[/C][C]0.184196691162529[/C][/ROW]
[ROW][C]0.57[/C][C]52.8588661888064[/C][C]0.20028316949737[/C][/ROW]
[ROW][C]0.58[/C][C]52.8982098155079[/C][C]0.219735741042942[/C][/ROW]
[ROW][C]0.59[/C][C]52.9412496913259[/C][C]0.24134652509878[/C][/ROW]
[ROW][C]0.6[/C][C]52.9883302527696[/C][C]0.263807382403825[/C][/ROW]
[ROW][C]0.61[/C][C]53.0395898683585[/C][C]0.285968834919356[/C][/ROW]
[ROW][C]0.62[/C][C]53.0949629401884[/C][C]0.306576722698443[/C][/ROW]
[ROW][C]0.63[/C][C]53.1541998945098[/C][C]0.324767790957394[/C][/ROW]
[ROW][C]0.64[/C][C]53.2169011004684[/C][C]0.339905026954199[/C][/ROW]
[ROW][C]0.65[/C][C]53.282558325572[/C][C]0.351655911992084[/C][/ROW]
[ROW][C]0.66[/C][C]53.3505966139488[/C][C]0.359938420597378[/C][/ROW]
[ROW][C]0.67[/C][C]53.420410901341[/C][C]0.364826922561804[/C][/ROW]
[ROW][C]0.68[/C][C]53.491394922514[/C][C]0.366534032374225[/C][/ROW]
[ROW][C]0.69[/C][C]53.5629639185184[/C][C]0.365211960180225[/C][/ROW]
[ROW][C]0.7[/C][C]53.6345758148064[/C][C]0.361122419773013[/C][/ROW]
[ROW][C]0.71[/C][C]53.7057566506253[/C][C]0.354455031608686[/C][/ROW]
[ROW][C]0.72[/C][C]53.7761346778137[/C][C]0.345694817069629[/C][/ROW]
[ROW][C]0.73[/C][C]53.8454844251224[/C][C]0.335440674779774[/C][/ROW]
[ROW][C]0.74[/C][C]53.9137787026056[/C][C]0.324806969645144[/C][/ROW]
[ROW][C]0.75[/C][C]53.9812445805013[/C][C]0.315004925157317[/C][/ROW]
[ROW][C]0.76[/C][C]54.0484193744281[/C][C]0.307567267624295[/C][/ROW]
[ROW][C]0.77[/C][C]54.1162034257658[/C][C]0.304199211940565[/C][/ROW]
[ROW][C]0.78[/C][C]54.1859052579188[/C][C]0.306638180505851[/C][/ROW]
[ROW][C]0.79[/C][C]54.2592685902589[/C][C]0.316644529533632[/C][/ROW]
[ROW][C]0.8[/C][C]54.3384588016728[/C][C]0.335961182540376[/C][/ROW]
[ROW][C]0.81[/C][C]54.425972096074[/C][C]0.365833997097318[/C][/ROW]
[ROW][C]0.82[/C][C]54.5244223157074[/C][C]0.406484287167235[/C][/ROW]
[ROW][C]0.83[/C][C]54.6361700076114[/C][C]0.456191257721487[/C][/ROW]
[ROW][C]0.84[/C][C]54.7627964643125[/C][C]0.510705311441923[/C][/ROW]
[ROW][C]0.85[/C][C]54.9044937202158[/C][C]0.563240016186535[/C][/ROW]
[ROW][C]0.86[/C][C]55.0595255472826[/C][C]0.604968980540042[/C][/ROW]
[ROW][C]0.87[/C][C]55.2239812764005[/C][C]0.62674283798848[/C][/ROW]
[ROW][C]0.88[/C][C]55.3920487479773[/C][C]0.621398596954012[/C][/ROW]
[ROW][C]0.89[/C][C]55.5569368519231[/C][C]0.586195529978377[/C][/ROW]
[ROW][C]0.9[/C][C]55.7123780519091[/C][C]0.524851600886602[/C][/ROW]
[ROW][C]0.91[/C][C]55.8543878581732[/C][C]0.447649113450126[/C][/ROW]
[ROW][C]0.92[/C][C]55.9827476335332[/C][C]0.36992244251081[/C][/ROW]
[ROW][C]0.93[/C][C]56.1015950802443[/C][C]0.308771105327965[/C][/ROW]
[ROW][C]0.94[/C][C]56.2185552091071[/C][C]0.277577936495623[/C][/ROW]
[ROW][C]0.95[/C][C]56.3419659235749[/C][C]0.277635815476073[/C][/ROW]
[ROW][C]0.96[/C][C]56.4760884954841[/C][C]0.292338898971386[/C][/ROW]
[ROW][C]0.97[/C][C]56.6154062326335[/C][C]0.289441367597727[/C][/ROW]
[ROW][C]0.98[/C][C]56.7418357126132[/C][C]0.232551448395324[/C][/ROW]
[ROW][C]0.99[/C][C]56.8310666931334[/C][C]0.11480251064727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177079&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177079&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
0.0150.03069584679450.141279226792275
0.0250.10771373191820.138308041270479
0.0350.1842926564830.119669759245795
0.0450.24668164522560.0938710592141576
0.0550.2941809180850.0783748076986179
0.0650.33276800806460.085084526427589
0.0750.36979507275320.111113996953289
0.0850.41106007846070.14688778346815
0.0950.45972318848720.184194980228971
0.150.5163467908440.216535692016218
0.1150.57950925742780.239289003034356
0.1250.64663975395550.250499887972293
0.1350.71484767839520.250920465467292
0.1450.78158946884190.243083855520142
0.1550.84507750505820.230713380025575
0.1650.9044110938970.217341098255541
0.1750.95948170336150.205740606182178
0.1851.01074832463890.197386234507282
0.1951.05898316683830.192625416255629
0.251.10506075638940.191127706294565
0.2151.14982313246260.192503807132475
0.2251.19401782815960.196305430493983
0.2351.23828409974860.202400509949644
0.2451.28315830199750.210633966869261
0.2551.3290770822890.220720651027683
0.2651.37637016857160.232032106802743
0.2751.42524638483010.243966471999747
0.2851.47578297444890.255642136665435
0.2951.52792823716740.266301550687912
0.351.58152239431410.275394956884458
0.3151.63633447032340.282774936360982
0.3251.69210692893460.288606410886656
0.3351.74859698089840.293105170034594
0.3451.80560452972230.29683855083703
0.3551.86298085109560.300108776809214
0.3651.92061762585680.30314914655949
0.3751.9784210219080.305906718017701
0.3852.0362787755750.308041107307408
0.3952.0940290926990.309067042398145
0.452.15143890559120.308498812822514
0.4152.20819634205740.305776874164153
0.4252.26391910361920.300486247327837
0.4352.31817757623140.292433008447659
0.4452.37052936055520.281661153551329
0.4552.4205606498820.268337304321246
0.4652.46792943050.2530234912884
0.4752.51240567088710.236354607340819
0.4852.55390433436130.219325039970663
0.4952.59250804198790.202906909805879
0.552.62847737782760.188110257859619
0.5152.66224800700850.176068951621524
0.5252.69441481828330.167833720710931
0.5352.72570411324610.164191830966927
0.5452.75693545369720.165683788161256
0.5552.78897526513020.172439948470599
0.5652.82268484847930.184196691162529
0.5752.85886618880640.20028316949737
0.5852.89820981550790.219735741042942
0.5952.94124969132590.24134652509878
0.652.98833025276960.263807382403825
0.6153.03958986835850.285968834919356
0.6253.09496294018840.306576722698443
0.6353.15419989450980.324767790957394
0.6453.21690110046840.339905026954199
0.6553.2825583255720.351655911992084
0.6653.35059661394880.359938420597378
0.6753.4204109013410.364826922561804
0.6853.4913949225140.366534032374225
0.6953.56296391851840.365211960180225
0.753.63457581480640.361122419773013
0.7153.70575665062530.354455031608686
0.7253.77613467781370.345694817069629
0.7353.84548442512240.335440674779774
0.7453.91377870260560.324806969645144
0.7553.98124458050130.315004925157317
0.7654.04841937442810.307567267624295
0.7754.11620342576580.304199211940565
0.7854.18590525791880.306638180505851
0.7954.25926859025890.316644529533632
0.854.33845880167280.335961182540376
0.8154.4259720960740.365833997097318
0.8254.52442231570740.406484287167235
0.8354.63617000761140.456191257721487
0.8454.76279646431250.510705311441923
0.8554.90449372021580.563240016186535
0.8655.05952554728260.604968980540042
0.8755.22398127640050.62674283798848
0.8855.39204874797730.621398596954012
0.8955.55693685192310.586195529978377
0.955.71237805190910.524851600886602
0.9155.85438785817320.447649113450126
0.9255.98274763353320.36992244251081
0.9356.10159508024430.308771105327965
0.9456.21855520910710.277577936495623
0.9556.34196592357490.277635815476073
0.9656.47608849548410.292338898971386
0.9756.61540623263350.289441367597727
0.9856.74183571261320.232551448395324
0.9956.83106669313340.11480251064727


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')