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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 18 Oct 2009 04:19:27 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/18/t12558612390b4bfgw4v6pd7ug.htm/, Retrieved Mon, 29 Apr 2024 14:19:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47254, Retrieved Mon, 29 Apr 2024 14:19:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [WS 3 deel 3 voors...] [2009-10-18 10:19:27] [9be6fbb216efe5bb8ca600257c6e1971] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.34
2.45
2.11
2.17
2.12
1.84
1.27
1.47
1.19
1.23
1.31
1.23
1.09
1.14
1.24
1.28
1.13
1.26
1.35
1.35
1.58
1.46
1.46
1.58
1.58
1.73
1.95
1.49
1.73
1.38
1.88
1.59
1.38
1.89
1.49
1.60
1.39
1.37
1.40
2.14
1.51
2.00
1.54
1.66
1.67
1.53
1.70
1.65
2.08
2.26
2.26
2.24
2.13
1.91
1.92
2.05
2.39
2.26
2.24
2.56

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47254&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47254&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.099672001447790.035632108513141
0.021.114673479366040.0334633556506664
0.031.131800108469390.0354728884664542
0.041.149212759701500.0395143098773222
0.051.166176076794310.042368593844889
0.061.182326237134750.0427075558849404
0.071.197362120374550.0409329465562976
0.081.211083464562540.0382652832587304
0.091.223484913937230.0359615874314475
0.11.234762732422400.0348428419401501
0.111.245239672510470.0351344907575558
0.121.255265013735540.0365905037667106
0.131.26513477333070.03874956107048
0.141.275049104930880.0411400025827075
0.151.285103865259720.0433643138893464
0.161.295305299038890.0451407808665395
0.171.305596587095970.0463083498367787
0.181.315887760873990.046834527890087
0.191.326083364748990.0468015346471998
0.21.336104370987850.046383692331468
0.211.345902380721110.0458072775990317
0.221.355465446285570.0453052640599439
0.231.364816094775070.0450748865616787
0.241.374003240847910.045231638061221
0.251.383090452190540.0458036509692091
0.261.392143310435030.0467276381552838
0.271.401218354067480.0478773499025114
0.281.410355395050250.0491025959968526
0.291.419574060816020.0502593990932062
0.31.428874454725530.0512416771860253
0.311.438241051661780.0519871145137885
0.321.4476484837520.0524794469123156
0.331.457067769663850.0527454948433617
0.341.466471760677480.0528394752080344
0.351.475839015361540.0528280570289840
0.361.485155837729530.0527693096100712
0.371.494416689187790.0527142435285165
0.381.503623512195930.0526921162821538
0.391.512784633262390.052725771822171
0.41.52191384899240.052827911344511
0.411.531030090973440.0530147206500555
0.421.540157789534460.0533134946429267
0.431.549327793153970.0537681433617634
0.441.558578513434320.0544376731376419
0.451.567956888983780.0553892761742881
0.461.577518794910490.056692056707427
0.471.587328638731700.0584006110215037
0.481.597458032897180.0605643130556531
0.491.607983572981780.063196916406667
0.51.618983847073590.0663019211525397
0.511.6305358468410.0698485979139909
0.521.642710958324020.073789414427994
0.531.655570710259230.0780473836231922
0.541.669162481144850.0825242531164138
0.551.683515431513460.0871011961591676
0.561.698637028834450.0916275142842128
0.571.714510635632070.0959407265312384
0.581.731094683465330.0998734972307684
0.591.748323899990760.103265327346509
0.61.766112855533110.105983585854921
0.611.784361749720650.107940497454299
0.621.802963916980810.109107812567700
0.631.821814086589440.109526668868115
0.641.840816109355260.109293983947857
0.651.859888774734590.108553316566357
0.661.878968564356060.107462961210664
0.671.898008725148940.106171282039439
0.681.916974817146430.104777982786773
0.691.935837739816070.103317020062408
0.71.95456596132870.101742668047351
0.711.973119061944600.0999597170507603
0.721.9914446029150.0978451624584867
0.732.009479692881420.0952874733544422
0.742.027157520043110.0922353547008142
0.752.044417756824950.0887203027353511
0.762.061218435636330.0848665597638422
0.772.077546001814920.0808821036420706
0.782.093420110925720.0770228534837928
0.792.108890578172250.0735324529798671
0.82.124025735287990.0705690262003208
0.812.138894067393340.0681516270056314
0.822.153543862038040.0661245003803442
0.832.167987928529410.0641959375923469
0.842.182201329670720.0620275528562995
0.852.196138668928760.0593590573076704
0.862.209773289800940.0561362410491682
0.872.223153934852660.0526073639284581
0.882.236466177988830.0493820930698699
0.892.250078834479890.0473786784505923
0.92.264553508151430.0475768172016748
0.912.280603093560010.050505891415954
0.922.299005609181110.0558052364811611
0.932.320510201162390.0622964447301972
0.942.345794454330690.068508902676882
0.952.375501284523620.0733622188851878
0.962.410230870924260.0768907335777609
0.972.450074559119500.0807929727535869
0.982.493132158422580.0878298172768512
0.992.533278496124280.0985663081239725

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.09967200144779 & 0.035632108513141 \tabularnewline
0.02 & 1.11467347936604 & 0.0334633556506664 \tabularnewline
0.03 & 1.13180010846939 & 0.0354728884664542 \tabularnewline
0.04 & 1.14921275970150 & 0.0395143098773222 \tabularnewline
0.05 & 1.16617607679431 & 0.042368593844889 \tabularnewline
0.06 & 1.18232623713475 & 0.0427075558849404 \tabularnewline
0.07 & 1.19736212037455 & 0.0409329465562976 \tabularnewline
0.08 & 1.21108346456254 & 0.0382652832587304 \tabularnewline
0.09 & 1.22348491393723 & 0.0359615874314475 \tabularnewline
0.1 & 1.23476273242240 & 0.0348428419401501 \tabularnewline
0.11 & 1.24523967251047 & 0.0351344907575558 \tabularnewline
0.12 & 1.25526501373554 & 0.0365905037667106 \tabularnewline
0.13 & 1.2651347733307 & 0.03874956107048 \tabularnewline
0.14 & 1.27504910493088 & 0.0411400025827075 \tabularnewline
0.15 & 1.28510386525972 & 0.0433643138893464 \tabularnewline
0.16 & 1.29530529903889 & 0.0451407808665395 \tabularnewline
0.17 & 1.30559658709597 & 0.0463083498367787 \tabularnewline
0.18 & 1.31588776087399 & 0.046834527890087 \tabularnewline
0.19 & 1.32608336474899 & 0.0468015346471998 \tabularnewline
0.2 & 1.33610437098785 & 0.046383692331468 \tabularnewline
0.21 & 1.34590238072111 & 0.0458072775990317 \tabularnewline
0.22 & 1.35546544628557 & 0.0453052640599439 \tabularnewline
0.23 & 1.36481609477507 & 0.0450748865616787 \tabularnewline
0.24 & 1.37400324084791 & 0.045231638061221 \tabularnewline
0.25 & 1.38309045219054 & 0.0458036509692091 \tabularnewline
0.26 & 1.39214331043503 & 0.0467276381552838 \tabularnewline
0.27 & 1.40121835406748 & 0.0478773499025114 \tabularnewline
0.28 & 1.41035539505025 & 0.0491025959968526 \tabularnewline
0.29 & 1.41957406081602 & 0.0502593990932062 \tabularnewline
0.3 & 1.42887445472553 & 0.0512416771860253 \tabularnewline
0.31 & 1.43824105166178 & 0.0519871145137885 \tabularnewline
0.32 & 1.447648483752 & 0.0524794469123156 \tabularnewline
0.33 & 1.45706776966385 & 0.0527454948433617 \tabularnewline
0.34 & 1.46647176067748 & 0.0528394752080344 \tabularnewline
0.35 & 1.47583901536154 & 0.0528280570289840 \tabularnewline
0.36 & 1.48515583772953 & 0.0527693096100712 \tabularnewline
0.37 & 1.49441668918779 & 0.0527142435285165 \tabularnewline
0.38 & 1.50362351219593 & 0.0526921162821538 \tabularnewline
0.39 & 1.51278463326239 & 0.052725771822171 \tabularnewline
0.4 & 1.5219138489924 & 0.052827911344511 \tabularnewline
0.41 & 1.53103009097344 & 0.0530147206500555 \tabularnewline
0.42 & 1.54015778953446 & 0.0533134946429267 \tabularnewline
0.43 & 1.54932779315397 & 0.0537681433617634 \tabularnewline
0.44 & 1.55857851343432 & 0.0544376731376419 \tabularnewline
0.45 & 1.56795688898378 & 0.0553892761742881 \tabularnewline
0.46 & 1.57751879491049 & 0.056692056707427 \tabularnewline
0.47 & 1.58732863873170 & 0.0584006110215037 \tabularnewline
0.48 & 1.59745803289718 & 0.0605643130556531 \tabularnewline
0.49 & 1.60798357298178 & 0.063196916406667 \tabularnewline
0.5 & 1.61898384707359 & 0.0663019211525397 \tabularnewline
0.51 & 1.630535846841 & 0.0698485979139909 \tabularnewline
0.52 & 1.64271095832402 & 0.073789414427994 \tabularnewline
0.53 & 1.65557071025923 & 0.0780473836231922 \tabularnewline
0.54 & 1.66916248114485 & 0.0825242531164138 \tabularnewline
0.55 & 1.68351543151346 & 0.0871011961591676 \tabularnewline
0.56 & 1.69863702883445 & 0.0916275142842128 \tabularnewline
0.57 & 1.71451063563207 & 0.0959407265312384 \tabularnewline
0.58 & 1.73109468346533 & 0.0998734972307684 \tabularnewline
0.59 & 1.74832389999076 & 0.103265327346509 \tabularnewline
0.6 & 1.76611285553311 & 0.105983585854921 \tabularnewline
0.61 & 1.78436174972065 & 0.107940497454299 \tabularnewline
0.62 & 1.80296391698081 & 0.109107812567700 \tabularnewline
0.63 & 1.82181408658944 & 0.109526668868115 \tabularnewline
0.64 & 1.84081610935526 & 0.109293983947857 \tabularnewline
0.65 & 1.85988877473459 & 0.108553316566357 \tabularnewline
0.66 & 1.87896856435606 & 0.107462961210664 \tabularnewline
0.67 & 1.89800872514894 & 0.106171282039439 \tabularnewline
0.68 & 1.91697481714643 & 0.104777982786773 \tabularnewline
0.69 & 1.93583773981607 & 0.103317020062408 \tabularnewline
0.7 & 1.9545659613287 & 0.101742668047351 \tabularnewline
0.71 & 1.97311906194460 & 0.0999597170507603 \tabularnewline
0.72 & 1.991444602915 & 0.0978451624584867 \tabularnewline
0.73 & 2.00947969288142 & 0.0952874733544422 \tabularnewline
0.74 & 2.02715752004311 & 0.0922353547008142 \tabularnewline
0.75 & 2.04441775682495 & 0.0887203027353511 \tabularnewline
0.76 & 2.06121843563633 & 0.0848665597638422 \tabularnewline
0.77 & 2.07754600181492 & 0.0808821036420706 \tabularnewline
0.78 & 2.09342011092572 & 0.0770228534837928 \tabularnewline
0.79 & 2.10889057817225 & 0.0735324529798671 \tabularnewline
0.8 & 2.12402573528799 & 0.0705690262003208 \tabularnewline
0.81 & 2.13889406739334 & 0.0681516270056314 \tabularnewline
0.82 & 2.15354386203804 & 0.0661245003803442 \tabularnewline
0.83 & 2.16798792852941 & 0.0641959375923469 \tabularnewline
0.84 & 2.18220132967072 & 0.0620275528562995 \tabularnewline
0.85 & 2.19613866892876 & 0.0593590573076704 \tabularnewline
0.86 & 2.20977328980094 & 0.0561362410491682 \tabularnewline
0.87 & 2.22315393485266 & 0.0526073639284581 \tabularnewline
0.88 & 2.23646617798883 & 0.0493820930698699 \tabularnewline
0.89 & 2.25007883447989 & 0.0473786784505923 \tabularnewline
0.9 & 2.26455350815143 & 0.0475768172016748 \tabularnewline
0.91 & 2.28060309356001 & 0.050505891415954 \tabularnewline
0.92 & 2.29900560918111 & 0.0558052364811611 \tabularnewline
0.93 & 2.32051020116239 & 0.0622964447301972 \tabularnewline
0.94 & 2.34579445433069 & 0.068508902676882 \tabularnewline
0.95 & 2.37550128452362 & 0.0733622188851878 \tabularnewline
0.96 & 2.41023087092426 & 0.0768907335777609 \tabularnewline
0.97 & 2.45007455911950 & 0.0807929727535869 \tabularnewline
0.98 & 2.49313215842258 & 0.0878298172768512 \tabularnewline
0.99 & 2.53327849612428 & 0.0985663081239725 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47254&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]1.09967200144779[/C][C]0.035632108513141[/C][/ROW]
[ROW][C]0.02[/C][C]1.11467347936604[/C][C]0.0334633556506664[/C][/ROW]
[ROW][C]0.03[/C][C]1.13180010846939[/C][C]0.0354728884664542[/C][/ROW]
[ROW][C]0.04[/C][C]1.14921275970150[/C][C]0.0395143098773222[/C][/ROW]
[ROW][C]0.05[/C][C]1.16617607679431[/C][C]0.042368593844889[/C][/ROW]
[ROW][C]0.06[/C][C]1.18232623713475[/C][C]0.0427075558849404[/C][/ROW]
[ROW][C]0.07[/C][C]1.19736212037455[/C][C]0.0409329465562976[/C][/ROW]
[ROW][C]0.08[/C][C]1.21108346456254[/C][C]0.0382652832587304[/C][/ROW]
[ROW][C]0.09[/C][C]1.22348491393723[/C][C]0.0359615874314475[/C][/ROW]
[ROW][C]0.1[/C][C]1.23476273242240[/C][C]0.0348428419401501[/C][/ROW]
[ROW][C]0.11[/C][C]1.24523967251047[/C][C]0.0351344907575558[/C][/ROW]
[ROW][C]0.12[/C][C]1.25526501373554[/C][C]0.0365905037667106[/C][/ROW]
[ROW][C]0.13[/C][C]1.2651347733307[/C][C]0.03874956107048[/C][/ROW]
[ROW][C]0.14[/C][C]1.27504910493088[/C][C]0.0411400025827075[/C][/ROW]
[ROW][C]0.15[/C][C]1.28510386525972[/C][C]0.0433643138893464[/C][/ROW]
[ROW][C]0.16[/C][C]1.29530529903889[/C][C]0.0451407808665395[/C][/ROW]
[ROW][C]0.17[/C][C]1.30559658709597[/C][C]0.0463083498367787[/C][/ROW]
[ROW][C]0.18[/C][C]1.31588776087399[/C][C]0.046834527890087[/C][/ROW]
[ROW][C]0.19[/C][C]1.32608336474899[/C][C]0.0468015346471998[/C][/ROW]
[ROW][C]0.2[/C][C]1.33610437098785[/C][C]0.046383692331468[/C][/ROW]
[ROW][C]0.21[/C][C]1.34590238072111[/C][C]0.0458072775990317[/C][/ROW]
[ROW][C]0.22[/C][C]1.35546544628557[/C][C]0.0453052640599439[/C][/ROW]
[ROW][C]0.23[/C][C]1.36481609477507[/C][C]0.0450748865616787[/C][/ROW]
[ROW][C]0.24[/C][C]1.37400324084791[/C][C]0.045231638061221[/C][/ROW]
[ROW][C]0.25[/C][C]1.38309045219054[/C][C]0.0458036509692091[/C][/ROW]
[ROW][C]0.26[/C][C]1.39214331043503[/C][C]0.0467276381552838[/C][/ROW]
[ROW][C]0.27[/C][C]1.40121835406748[/C][C]0.0478773499025114[/C][/ROW]
[ROW][C]0.28[/C][C]1.41035539505025[/C][C]0.0491025959968526[/C][/ROW]
[ROW][C]0.29[/C][C]1.41957406081602[/C][C]0.0502593990932062[/C][/ROW]
[ROW][C]0.3[/C][C]1.42887445472553[/C][C]0.0512416771860253[/C][/ROW]
[ROW][C]0.31[/C][C]1.43824105166178[/C][C]0.0519871145137885[/C][/ROW]
[ROW][C]0.32[/C][C]1.447648483752[/C][C]0.0524794469123156[/C][/ROW]
[ROW][C]0.33[/C][C]1.45706776966385[/C][C]0.0527454948433617[/C][/ROW]
[ROW][C]0.34[/C][C]1.46647176067748[/C][C]0.0528394752080344[/C][/ROW]
[ROW][C]0.35[/C][C]1.47583901536154[/C][C]0.0528280570289840[/C][/ROW]
[ROW][C]0.36[/C][C]1.48515583772953[/C][C]0.0527693096100712[/C][/ROW]
[ROW][C]0.37[/C][C]1.49441668918779[/C][C]0.0527142435285165[/C][/ROW]
[ROW][C]0.38[/C][C]1.50362351219593[/C][C]0.0526921162821538[/C][/ROW]
[ROW][C]0.39[/C][C]1.51278463326239[/C][C]0.052725771822171[/C][/ROW]
[ROW][C]0.4[/C][C]1.5219138489924[/C][C]0.052827911344511[/C][/ROW]
[ROW][C]0.41[/C][C]1.53103009097344[/C][C]0.0530147206500555[/C][/ROW]
[ROW][C]0.42[/C][C]1.54015778953446[/C][C]0.0533134946429267[/C][/ROW]
[ROW][C]0.43[/C][C]1.54932779315397[/C][C]0.0537681433617634[/C][/ROW]
[ROW][C]0.44[/C][C]1.55857851343432[/C][C]0.0544376731376419[/C][/ROW]
[ROW][C]0.45[/C][C]1.56795688898378[/C][C]0.0553892761742881[/C][/ROW]
[ROW][C]0.46[/C][C]1.57751879491049[/C][C]0.056692056707427[/C][/ROW]
[ROW][C]0.47[/C][C]1.58732863873170[/C][C]0.0584006110215037[/C][/ROW]
[ROW][C]0.48[/C][C]1.59745803289718[/C][C]0.0605643130556531[/C][/ROW]
[ROW][C]0.49[/C][C]1.60798357298178[/C][C]0.063196916406667[/C][/ROW]
[ROW][C]0.5[/C][C]1.61898384707359[/C][C]0.0663019211525397[/C][/ROW]
[ROW][C]0.51[/C][C]1.630535846841[/C][C]0.0698485979139909[/C][/ROW]
[ROW][C]0.52[/C][C]1.64271095832402[/C][C]0.073789414427994[/C][/ROW]
[ROW][C]0.53[/C][C]1.65557071025923[/C][C]0.0780473836231922[/C][/ROW]
[ROW][C]0.54[/C][C]1.66916248114485[/C][C]0.0825242531164138[/C][/ROW]
[ROW][C]0.55[/C][C]1.68351543151346[/C][C]0.0871011961591676[/C][/ROW]
[ROW][C]0.56[/C][C]1.69863702883445[/C][C]0.0916275142842128[/C][/ROW]
[ROW][C]0.57[/C][C]1.71451063563207[/C][C]0.0959407265312384[/C][/ROW]
[ROW][C]0.58[/C][C]1.73109468346533[/C][C]0.0998734972307684[/C][/ROW]
[ROW][C]0.59[/C][C]1.74832389999076[/C][C]0.103265327346509[/C][/ROW]
[ROW][C]0.6[/C][C]1.76611285553311[/C][C]0.105983585854921[/C][/ROW]
[ROW][C]0.61[/C][C]1.78436174972065[/C][C]0.107940497454299[/C][/ROW]
[ROW][C]0.62[/C][C]1.80296391698081[/C][C]0.109107812567700[/C][/ROW]
[ROW][C]0.63[/C][C]1.82181408658944[/C][C]0.109526668868115[/C][/ROW]
[ROW][C]0.64[/C][C]1.84081610935526[/C][C]0.109293983947857[/C][/ROW]
[ROW][C]0.65[/C][C]1.85988877473459[/C][C]0.108553316566357[/C][/ROW]
[ROW][C]0.66[/C][C]1.87896856435606[/C][C]0.107462961210664[/C][/ROW]
[ROW][C]0.67[/C][C]1.89800872514894[/C][C]0.106171282039439[/C][/ROW]
[ROW][C]0.68[/C][C]1.91697481714643[/C][C]0.104777982786773[/C][/ROW]
[ROW][C]0.69[/C][C]1.93583773981607[/C][C]0.103317020062408[/C][/ROW]
[ROW][C]0.7[/C][C]1.9545659613287[/C][C]0.101742668047351[/C][/ROW]
[ROW][C]0.71[/C][C]1.97311906194460[/C][C]0.0999597170507603[/C][/ROW]
[ROW][C]0.72[/C][C]1.991444602915[/C][C]0.0978451624584867[/C][/ROW]
[ROW][C]0.73[/C][C]2.00947969288142[/C][C]0.0952874733544422[/C][/ROW]
[ROW][C]0.74[/C][C]2.02715752004311[/C][C]0.0922353547008142[/C][/ROW]
[ROW][C]0.75[/C][C]2.04441775682495[/C][C]0.0887203027353511[/C][/ROW]
[ROW][C]0.76[/C][C]2.06121843563633[/C][C]0.0848665597638422[/C][/ROW]
[ROW][C]0.77[/C][C]2.07754600181492[/C][C]0.0808821036420706[/C][/ROW]
[ROW][C]0.78[/C][C]2.09342011092572[/C][C]0.0770228534837928[/C][/ROW]
[ROW][C]0.79[/C][C]2.10889057817225[/C][C]0.0735324529798671[/C][/ROW]
[ROW][C]0.8[/C][C]2.12402573528799[/C][C]0.0705690262003208[/C][/ROW]
[ROW][C]0.81[/C][C]2.13889406739334[/C][C]0.0681516270056314[/C][/ROW]
[ROW][C]0.82[/C][C]2.15354386203804[/C][C]0.0661245003803442[/C][/ROW]
[ROW][C]0.83[/C][C]2.16798792852941[/C][C]0.0641959375923469[/C][/ROW]
[ROW][C]0.84[/C][C]2.18220132967072[/C][C]0.0620275528562995[/C][/ROW]
[ROW][C]0.85[/C][C]2.19613866892876[/C][C]0.0593590573076704[/C][/ROW]
[ROW][C]0.86[/C][C]2.20977328980094[/C][C]0.0561362410491682[/C][/ROW]
[ROW][C]0.87[/C][C]2.22315393485266[/C][C]0.0526073639284581[/C][/ROW]
[ROW][C]0.88[/C][C]2.23646617798883[/C][C]0.0493820930698699[/C][/ROW]
[ROW][C]0.89[/C][C]2.25007883447989[/C][C]0.0473786784505923[/C][/ROW]
[ROW][C]0.9[/C][C]2.26455350815143[/C][C]0.0475768172016748[/C][/ROW]
[ROW][C]0.91[/C][C]2.28060309356001[/C][C]0.050505891415954[/C][/ROW]
[ROW][C]0.92[/C][C]2.29900560918111[/C][C]0.0558052364811611[/C][/ROW]
[ROW][C]0.93[/C][C]2.32051020116239[/C][C]0.0622964447301972[/C][/ROW]
[ROW][C]0.94[/C][C]2.34579445433069[/C][C]0.068508902676882[/C][/ROW]
[ROW][C]0.95[/C][C]2.37550128452362[/C][C]0.0733622188851878[/C][/ROW]
[ROW][C]0.96[/C][C]2.41023087092426[/C][C]0.0768907335777609[/C][/ROW]
[ROW][C]0.97[/C][C]2.45007455911950[/C][C]0.0807929727535869[/C][/ROW]
[ROW][C]0.98[/C][C]2.49313215842258[/C][C]0.0878298172768512[/C][/ROW]
[ROW][C]0.99[/C][C]2.53327849612428[/C][C]0.0985663081239725[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47254&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
0.011.099672001447790.035632108513141
0.021.114673479366040.0334633556506664
0.031.131800108469390.0354728884664542
0.041.149212759701500.0395143098773222
0.051.166176076794310.042368593844889
0.061.182326237134750.0427075558849404
0.071.197362120374550.0409329465562976
0.081.211083464562540.0382652832587304
0.091.223484913937230.0359615874314475
0.11.234762732422400.0348428419401501
0.111.245239672510470.0351344907575558
0.121.255265013735540.0365905037667106
0.131.26513477333070.03874956107048
0.141.275049104930880.0411400025827075
0.151.285103865259720.0433643138893464
0.161.295305299038890.0451407808665395
0.171.305596587095970.0463083498367787
0.181.315887760873990.046834527890087
0.191.326083364748990.0468015346471998
0.21.336104370987850.046383692331468
0.211.345902380721110.0458072775990317
0.221.355465446285570.0453052640599439
0.231.364816094775070.0450748865616787
0.241.374003240847910.045231638061221
0.251.383090452190540.0458036509692091
0.261.392143310435030.0467276381552838
0.271.401218354067480.0478773499025114
0.281.410355395050250.0491025959968526
0.291.419574060816020.0502593990932062
0.31.428874454725530.0512416771860253
0.311.438241051661780.0519871145137885
0.321.4476484837520.0524794469123156
0.331.457067769663850.0527454948433617
0.341.466471760677480.0528394752080344
0.351.475839015361540.0528280570289840
0.361.485155837729530.0527693096100712
0.371.494416689187790.0527142435285165
0.381.503623512195930.0526921162821538
0.391.512784633262390.052725771822171
0.41.52191384899240.052827911344511
0.411.531030090973440.0530147206500555
0.421.540157789534460.0533134946429267
0.431.549327793153970.0537681433617634
0.441.558578513434320.0544376731376419
0.451.567956888983780.0553892761742881
0.461.577518794910490.056692056707427
0.471.587328638731700.0584006110215037
0.481.597458032897180.0605643130556531
0.491.607983572981780.063196916406667
0.51.618983847073590.0663019211525397
0.511.6305358468410.0698485979139909
0.521.642710958324020.073789414427994
0.531.655570710259230.0780473836231922
0.541.669162481144850.0825242531164138
0.551.683515431513460.0871011961591676
0.561.698637028834450.0916275142842128
0.571.714510635632070.0959407265312384
0.581.731094683465330.0998734972307684
0.591.748323899990760.103265327346509
0.61.766112855533110.105983585854921
0.611.784361749720650.107940497454299
0.621.802963916980810.109107812567700
0.631.821814086589440.109526668868115
0.641.840816109355260.109293983947857
0.651.859888774734590.108553316566357
0.661.878968564356060.107462961210664
0.671.898008725148940.106171282039439
0.681.916974817146430.104777982786773
0.691.935837739816070.103317020062408
0.71.95456596132870.101742668047351
0.711.973119061944600.0999597170507603
0.721.9914446029150.0978451624584867
0.732.009479692881420.0952874733544422
0.742.027157520043110.0922353547008142
0.752.044417756824950.0887203027353511
0.762.061218435636330.0848665597638422
0.772.077546001814920.0808821036420706
0.782.093420110925720.0770228534837928
0.792.108890578172250.0735324529798671
0.82.124025735287990.0705690262003208
0.812.138894067393340.0681516270056314
0.822.153543862038040.0661245003803442
0.832.167987928529410.0641959375923469
0.842.182201329670720.0620275528562995
0.852.196138668928760.0593590573076704
0.862.209773289800940.0561362410491682
0.872.223153934852660.0526073639284581
0.882.236466177988830.0493820930698699
0.892.250078834479890.0473786784505923
0.92.264553508151430.0475768172016748
0.912.280603093560010.050505891415954
0.922.299005609181110.0558052364811611
0.932.320510201162390.0622964447301972
0.942.345794454330690.068508902676882
0.952.375501284523620.0733622188851878
0.962.410230870924260.0768907335777609
0.972.450074559119500.0807929727535869
0.982.493132158422580.0878298172768512
0.992.533278496124280.0985663081239725


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')