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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 computationWed, 14 Oct 2009 07:02:36 -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/14/t1255525423gdmhmh0lx9ksqef.htm/, Retrieved Sun, 05 May 2024 06:17:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46413, Retrieved Sun, 05 May 2024 06:17:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact156

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] [] [2009-10-14 13:02:36] [d3c74fcd05a317afdc84de11f936034f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,55
8,56
8,57
8,59
8,61
8,62
8,62
8,63
8,71
8,72
8,74
8,75
8,79
8,82
8,82
8,84
8,86
8,86
8,85
8,86
8,86
8,87
8,88
8,9
8,91
8,96
8,98
8,99
9
9
9
9,01
9,01
8,99
8,99
8,99
9
9
9,02
9,05
9,05
9,05
9,06
9,06
9,08
9,07
9,06
9,08
9,07
9,11
9,15
9,15
9,17
9,2
9,23
9,26
9,27
9,28
9,29
9,29
9,11
9,06
9,11
9,13
9,13
9,19
9,2
9,23
9,24
9,28
9,32
9,32
9,32
9,36
9,37
9,38
9,41
9,44
9,44
9,44
9,47
9,48
9,56
9,58
9,56
9,58
9,7
9,74
9,76
9,78
9,84
9,88
9,96
9,97
9,96
9,96

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46413&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46413&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46413&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.556078277816330.0120076260433606
0.028.566882748196480.0177245514089835
0.038.580134916237380.0234014172880425
0.048.59473104754870.0280889935152309
0.058.610384674445920.0337241667528828
0.068.627407902551920.0415688470602812
0.078.646267524632580.0504178073429764
0.088.667043240286580.0580274175311566
0.098.689226721513820.0628037809080744
0.18.711920654748940.0644365293229557
0.118.734182318544540.0634990959911508
0.128.755266797970230.0607880097233808
0.138.774699848226980.0568929947633829
0.148.792244309682390.0522446591177309
0.158.807846783338820.0472858158692233
0.168.821606665451390.0425285684631726
0.178.83376296540310.0385930860646759
0.188.844676420020120.0360526822638698
0.198.854791042369040.0353172882004904
0.28.864574165793130.0364229003699709
0.218.874445761182970.038993127584839
0.228.884712801017850.0423983167718354
0.238.89552359401140.0458300829449307
0.248.906852159590570.0485564637039186
0.258.91851556717490.0499939673294304
0.268.930219513064370.049814344475416
0.278.941621177340780.0480008719919349
0.288.952395225687190.044775049348365
0.298.962289413428530.0405914126647403
0.38.971160119463120.0359768765075322
0.318.978983819066160.0315091240212263
0.328.985846179655840.0276473023324209
0.338.991914651846030.0247341047756734
0.348.997402421412170.0229457225708976
0.359.002531494959680.0222276298775640
0.369.007501158885480.0223689472536233
0.379.01246586013490.0230885805989516
0.389.017524316891480.0240414396411948
0.399.022719701873130.0249521023910637
0.49.028049158611630.0256910737399986
0.419.0334797455060.0261083148826791
0.429.038967214142480.0262452581868792
0.439.044473912241190.0261976001036142
0.449.049982617235160.0261175597831006
0.459.055504194334170.0261682530984055
0.469.061078417937290.0265326443424436
0.479.066768765497560.0272795045585905
0.489.072653137016680.0284859713002301
0.499.078813012754820.0300848823908443
0.59.08532345122810.0320106176661446
0.519.092245656350960.0341631137544731
0.529.099622861581580.0364359464325955
0.539.107479303980920.0387462159556025
0.549.115821364668460.0410152442431854
0.559.124639686624150.0431674912284474
0.569.133911245063990.0451509251934022
0.579.143600804970340.0469287792037956
0.589.153661749112930.0484475536021811
0.599.16403670181350.0496256747035636
0.69.174658588578260.0504643835647047
0.619.185452742931320.0509020205835177
0.629.196340466897560.0509086857701561
0.639.207244169835350.0505435691511899
0.649.218093926451960.0498218909254868
0.659.228835029867750.0488480331444166
0.669.239435849319770.0477220431944024
0.679.249895017734950.0466098232270515
0.689.260246706177330.0456779028624099
0.699.270562593959830.04510433863559
0.79.280949263087980.045048547656113
0.719.29154026627350.0456356609115003
0.729.3024830886360.0468754609576448
0.739.313922559056570.048696853254526
0.749.325983718608960.0509579184230986
0.759.338758301368410.0534437248123089
0.769.3522992761990.0559276691388732
0.779.366626793261590.0582256857212575
0.789.381746135643850.0602930639809626
0.799.397674358831260.0621948627583606
0.89.414468618561440.0641416679425158
0.819.43224774298660.066414310648074
0.829.451200779005820.0692715364382797
0.839.471581181532020.0728672527903942
0.849.49368937687810.077229560109586
0.859.517845398557160.082273512303488
0.869.544347254515780.0878382887825703
0.879.57340775665970.0935606498818927
0.889.605074989676990.09875339903701
0.899.63917165318650.102424902955828
0.99.675313075055150.103687590627683
0.919.713038315418730.102337916079524
0.929.7519855842090.0991724974570674
0.939.791907654795630.0953430097015805
0.949.832300157669230.090783550536812
0.959.871684367681630.0829917370815885
0.969.907154083576210.0684197601557767
0.979.935192344530820.0466238773157354
0.989.953968000457180.0237704022329904
0.999.964857605582050.0104528584659779

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.55607827781633 & 0.0120076260433606 \tabularnewline
0.02 & 8.56688274819648 & 0.0177245514089835 \tabularnewline
0.03 & 8.58013491623738 & 0.0234014172880425 \tabularnewline
0.04 & 8.5947310475487 & 0.0280889935152309 \tabularnewline
0.05 & 8.61038467444592 & 0.0337241667528828 \tabularnewline
0.06 & 8.62740790255192 & 0.0415688470602812 \tabularnewline
0.07 & 8.64626752463258 & 0.0504178073429764 \tabularnewline
0.08 & 8.66704324028658 & 0.0580274175311566 \tabularnewline
0.09 & 8.68922672151382 & 0.0628037809080744 \tabularnewline
0.1 & 8.71192065474894 & 0.0644365293229557 \tabularnewline
0.11 & 8.73418231854454 & 0.0634990959911508 \tabularnewline
0.12 & 8.75526679797023 & 0.0607880097233808 \tabularnewline
0.13 & 8.77469984822698 & 0.0568929947633829 \tabularnewline
0.14 & 8.79224430968239 & 0.0522446591177309 \tabularnewline
0.15 & 8.80784678333882 & 0.0472858158692233 \tabularnewline
0.16 & 8.82160666545139 & 0.0425285684631726 \tabularnewline
0.17 & 8.8337629654031 & 0.0385930860646759 \tabularnewline
0.18 & 8.84467642002012 & 0.0360526822638698 \tabularnewline
0.19 & 8.85479104236904 & 0.0353172882004904 \tabularnewline
0.2 & 8.86457416579313 & 0.0364229003699709 \tabularnewline
0.21 & 8.87444576118297 & 0.038993127584839 \tabularnewline
0.22 & 8.88471280101785 & 0.0423983167718354 \tabularnewline
0.23 & 8.8955235940114 & 0.0458300829449307 \tabularnewline
0.24 & 8.90685215959057 & 0.0485564637039186 \tabularnewline
0.25 & 8.9185155671749 & 0.0499939673294304 \tabularnewline
0.26 & 8.93021951306437 & 0.049814344475416 \tabularnewline
0.27 & 8.94162117734078 & 0.0480008719919349 \tabularnewline
0.28 & 8.95239522568719 & 0.044775049348365 \tabularnewline
0.29 & 8.96228941342853 & 0.0405914126647403 \tabularnewline
0.3 & 8.97116011946312 & 0.0359768765075322 \tabularnewline
0.31 & 8.97898381906616 & 0.0315091240212263 \tabularnewline
0.32 & 8.98584617965584 & 0.0276473023324209 \tabularnewline
0.33 & 8.99191465184603 & 0.0247341047756734 \tabularnewline
0.34 & 8.99740242141217 & 0.0229457225708976 \tabularnewline
0.35 & 9.00253149495968 & 0.0222276298775640 \tabularnewline
0.36 & 9.00750115888548 & 0.0223689472536233 \tabularnewline
0.37 & 9.0124658601349 & 0.0230885805989516 \tabularnewline
0.38 & 9.01752431689148 & 0.0240414396411948 \tabularnewline
0.39 & 9.02271970187313 & 0.0249521023910637 \tabularnewline
0.4 & 9.02804915861163 & 0.0256910737399986 \tabularnewline
0.41 & 9.033479745506 & 0.0261083148826791 \tabularnewline
0.42 & 9.03896721414248 & 0.0262452581868792 \tabularnewline
0.43 & 9.04447391224119 & 0.0261976001036142 \tabularnewline
0.44 & 9.04998261723516 & 0.0261175597831006 \tabularnewline
0.45 & 9.05550419433417 & 0.0261682530984055 \tabularnewline
0.46 & 9.06107841793729 & 0.0265326443424436 \tabularnewline
0.47 & 9.06676876549756 & 0.0272795045585905 \tabularnewline
0.48 & 9.07265313701668 & 0.0284859713002301 \tabularnewline
0.49 & 9.07881301275482 & 0.0300848823908443 \tabularnewline
0.5 & 9.0853234512281 & 0.0320106176661446 \tabularnewline
0.51 & 9.09224565635096 & 0.0341631137544731 \tabularnewline
0.52 & 9.09962286158158 & 0.0364359464325955 \tabularnewline
0.53 & 9.10747930398092 & 0.0387462159556025 \tabularnewline
0.54 & 9.11582136466846 & 0.0410152442431854 \tabularnewline
0.55 & 9.12463968662415 & 0.0431674912284474 \tabularnewline
0.56 & 9.13391124506399 & 0.0451509251934022 \tabularnewline
0.57 & 9.14360080497034 & 0.0469287792037956 \tabularnewline
0.58 & 9.15366174911293 & 0.0484475536021811 \tabularnewline
0.59 & 9.1640367018135 & 0.0496256747035636 \tabularnewline
0.6 & 9.17465858857826 & 0.0504643835647047 \tabularnewline
0.61 & 9.18545274293132 & 0.0509020205835177 \tabularnewline
0.62 & 9.19634046689756 & 0.0509086857701561 \tabularnewline
0.63 & 9.20724416983535 & 0.0505435691511899 \tabularnewline
0.64 & 9.21809392645196 & 0.0498218909254868 \tabularnewline
0.65 & 9.22883502986775 & 0.0488480331444166 \tabularnewline
0.66 & 9.23943584931977 & 0.0477220431944024 \tabularnewline
0.67 & 9.24989501773495 & 0.0466098232270515 \tabularnewline
0.68 & 9.26024670617733 & 0.0456779028624099 \tabularnewline
0.69 & 9.27056259395983 & 0.04510433863559 \tabularnewline
0.7 & 9.28094926308798 & 0.045048547656113 \tabularnewline
0.71 & 9.2915402662735 & 0.0456356609115003 \tabularnewline
0.72 & 9.302483088636 & 0.0468754609576448 \tabularnewline
0.73 & 9.31392255905657 & 0.048696853254526 \tabularnewline
0.74 & 9.32598371860896 & 0.0509579184230986 \tabularnewline
0.75 & 9.33875830136841 & 0.0534437248123089 \tabularnewline
0.76 & 9.352299276199 & 0.0559276691388732 \tabularnewline
0.77 & 9.36662679326159 & 0.0582256857212575 \tabularnewline
0.78 & 9.38174613564385 & 0.0602930639809626 \tabularnewline
0.79 & 9.39767435883126 & 0.0621948627583606 \tabularnewline
0.8 & 9.41446861856144 & 0.0641416679425158 \tabularnewline
0.81 & 9.4322477429866 & 0.066414310648074 \tabularnewline
0.82 & 9.45120077900582 & 0.0692715364382797 \tabularnewline
0.83 & 9.47158118153202 & 0.0728672527903942 \tabularnewline
0.84 & 9.4936893768781 & 0.077229560109586 \tabularnewline
0.85 & 9.51784539855716 & 0.082273512303488 \tabularnewline
0.86 & 9.54434725451578 & 0.0878382887825703 \tabularnewline
0.87 & 9.5734077566597 & 0.0935606498818927 \tabularnewline
0.88 & 9.60507498967699 & 0.09875339903701 \tabularnewline
0.89 & 9.6391716531865 & 0.102424902955828 \tabularnewline
0.9 & 9.67531307505515 & 0.103687590627683 \tabularnewline
0.91 & 9.71303831541873 & 0.102337916079524 \tabularnewline
0.92 & 9.751985584209 & 0.0991724974570674 \tabularnewline
0.93 & 9.79190765479563 & 0.0953430097015805 \tabularnewline
0.94 & 9.83230015766923 & 0.090783550536812 \tabularnewline
0.95 & 9.87168436768163 & 0.0829917370815885 \tabularnewline
0.96 & 9.90715408357621 & 0.0684197601557767 \tabularnewline
0.97 & 9.93519234453082 & 0.0466238773157354 \tabularnewline
0.98 & 9.95396800045718 & 0.0237704022329904 \tabularnewline
0.99 & 9.96485760558205 & 0.0104528584659779 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46413&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]8.55607827781633[/C][C]0.0120076260433606[/C][/ROW]
[ROW][C]0.02[/C][C]8.56688274819648[/C][C]0.0177245514089835[/C][/ROW]
[ROW][C]0.03[/C][C]8.58013491623738[/C][C]0.0234014172880425[/C][/ROW]
[ROW][C]0.04[/C][C]8.5947310475487[/C][C]0.0280889935152309[/C][/ROW]
[ROW][C]0.05[/C][C]8.61038467444592[/C][C]0.0337241667528828[/C][/ROW]
[ROW][C]0.06[/C][C]8.62740790255192[/C][C]0.0415688470602812[/C][/ROW]
[ROW][C]0.07[/C][C]8.64626752463258[/C][C]0.0504178073429764[/C][/ROW]
[ROW][C]0.08[/C][C]8.66704324028658[/C][C]0.0580274175311566[/C][/ROW]
[ROW][C]0.09[/C][C]8.68922672151382[/C][C]0.0628037809080744[/C][/ROW]
[ROW][C]0.1[/C][C]8.71192065474894[/C][C]0.0644365293229557[/C][/ROW]
[ROW][C]0.11[/C][C]8.73418231854454[/C][C]0.0634990959911508[/C][/ROW]
[ROW][C]0.12[/C][C]8.75526679797023[/C][C]0.0607880097233808[/C][/ROW]
[ROW][C]0.13[/C][C]8.77469984822698[/C][C]0.0568929947633829[/C][/ROW]
[ROW][C]0.14[/C][C]8.79224430968239[/C][C]0.0522446591177309[/C][/ROW]
[ROW][C]0.15[/C][C]8.80784678333882[/C][C]0.0472858158692233[/C][/ROW]
[ROW][C]0.16[/C][C]8.82160666545139[/C][C]0.0425285684631726[/C][/ROW]
[ROW][C]0.17[/C][C]8.8337629654031[/C][C]0.0385930860646759[/C][/ROW]
[ROW][C]0.18[/C][C]8.84467642002012[/C][C]0.0360526822638698[/C][/ROW]
[ROW][C]0.19[/C][C]8.85479104236904[/C][C]0.0353172882004904[/C][/ROW]
[ROW][C]0.2[/C][C]8.86457416579313[/C][C]0.0364229003699709[/C][/ROW]
[ROW][C]0.21[/C][C]8.87444576118297[/C][C]0.038993127584839[/C][/ROW]
[ROW][C]0.22[/C][C]8.88471280101785[/C][C]0.0423983167718354[/C][/ROW]
[ROW][C]0.23[/C][C]8.8955235940114[/C][C]0.0458300829449307[/C][/ROW]
[ROW][C]0.24[/C][C]8.90685215959057[/C][C]0.0485564637039186[/C][/ROW]
[ROW][C]0.25[/C][C]8.9185155671749[/C][C]0.0499939673294304[/C][/ROW]
[ROW][C]0.26[/C][C]8.93021951306437[/C][C]0.049814344475416[/C][/ROW]
[ROW][C]0.27[/C][C]8.94162117734078[/C][C]0.0480008719919349[/C][/ROW]
[ROW][C]0.28[/C][C]8.95239522568719[/C][C]0.044775049348365[/C][/ROW]
[ROW][C]0.29[/C][C]8.96228941342853[/C][C]0.0405914126647403[/C][/ROW]
[ROW][C]0.3[/C][C]8.97116011946312[/C][C]0.0359768765075322[/C][/ROW]
[ROW][C]0.31[/C][C]8.97898381906616[/C][C]0.0315091240212263[/C][/ROW]
[ROW][C]0.32[/C][C]8.98584617965584[/C][C]0.0276473023324209[/C][/ROW]
[ROW][C]0.33[/C][C]8.99191465184603[/C][C]0.0247341047756734[/C][/ROW]
[ROW][C]0.34[/C][C]8.99740242141217[/C][C]0.0229457225708976[/C][/ROW]
[ROW][C]0.35[/C][C]9.00253149495968[/C][C]0.0222276298775640[/C][/ROW]
[ROW][C]0.36[/C][C]9.00750115888548[/C][C]0.0223689472536233[/C][/ROW]
[ROW][C]0.37[/C][C]9.0124658601349[/C][C]0.0230885805989516[/C][/ROW]
[ROW][C]0.38[/C][C]9.01752431689148[/C][C]0.0240414396411948[/C][/ROW]
[ROW][C]0.39[/C][C]9.02271970187313[/C][C]0.0249521023910637[/C][/ROW]
[ROW][C]0.4[/C][C]9.02804915861163[/C][C]0.0256910737399986[/C][/ROW]
[ROW][C]0.41[/C][C]9.033479745506[/C][C]0.0261083148826791[/C][/ROW]
[ROW][C]0.42[/C][C]9.03896721414248[/C][C]0.0262452581868792[/C][/ROW]
[ROW][C]0.43[/C][C]9.04447391224119[/C][C]0.0261976001036142[/C][/ROW]
[ROW][C]0.44[/C][C]9.04998261723516[/C][C]0.0261175597831006[/C][/ROW]
[ROW][C]0.45[/C][C]9.05550419433417[/C][C]0.0261682530984055[/C][/ROW]
[ROW][C]0.46[/C][C]9.06107841793729[/C][C]0.0265326443424436[/C][/ROW]
[ROW][C]0.47[/C][C]9.06676876549756[/C][C]0.0272795045585905[/C][/ROW]
[ROW][C]0.48[/C][C]9.07265313701668[/C][C]0.0284859713002301[/C][/ROW]
[ROW][C]0.49[/C][C]9.07881301275482[/C][C]0.0300848823908443[/C][/ROW]
[ROW][C]0.5[/C][C]9.0853234512281[/C][C]0.0320106176661446[/C][/ROW]
[ROW][C]0.51[/C][C]9.09224565635096[/C][C]0.0341631137544731[/C][/ROW]
[ROW][C]0.52[/C][C]9.09962286158158[/C][C]0.0364359464325955[/C][/ROW]
[ROW][C]0.53[/C][C]9.10747930398092[/C][C]0.0387462159556025[/C][/ROW]
[ROW][C]0.54[/C][C]9.11582136466846[/C][C]0.0410152442431854[/C][/ROW]
[ROW][C]0.55[/C][C]9.12463968662415[/C][C]0.0431674912284474[/C][/ROW]
[ROW][C]0.56[/C][C]9.13391124506399[/C][C]0.0451509251934022[/C][/ROW]
[ROW][C]0.57[/C][C]9.14360080497034[/C][C]0.0469287792037956[/C][/ROW]
[ROW][C]0.58[/C][C]9.15366174911293[/C][C]0.0484475536021811[/C][/ROW]
[ROW][C]0.59[/C][C]9.1640367018135[/C][C]0.0496256747035636[/C][/ROW]
[ROW][C]0.6[/C][C]9.17465858857826[/C][C]0.0504643835647047[/C][/ROW]
[ROW][C]0.61[/C][C]9.18545274293132[/C][C]0.0509020205835177[/C][/ROW]
[ROW][C]0.62[/C][C]9.19634046689756[/C][C]0.0509086857701561[/C][/ROW]
[ROW][C]0.63[/C][C]9.20724416983535[/C][C]0.0505435691511899[/C][/ROW]
[ROW][C]0.64[/C][C]9.21809392645196[/C][C]0.0498218909254868[/C][/ROW]
[ROW][C]0.65[/C][C]9.22883502986775[/C][C]0.0488480331444166[/C][/ROW]
[ROW][C]0.66[/C][C]9.23943584931977[/C][C]0.0477220431944024[/C][/ROW]
[ROW][C]0.67[/C][C]9.24989501773495[/C][C]0.0466098232270515[/C][/ROW]
[ROW][C]0.68[/C][C]9.26024670617733[/C][C]0.0456779028624099[/C][/ROW]
[ROW][C]0.69[/C][C]9.27056259395983[/C][C]0.04510433863559[/C][/ROW]
[ROW][C]0.7[/C][C]9.28094926308798[/C][C]0.045048547656113[/C][/ROW]
[ROW][C]0.71[/C][C]9.2915402662735[/C][C]0.0456356609115003[/C][/ROW]
[ROW][C]0.72[/C][C]9.302483088636[/C][C]0.0468754609576448[/C][/ROW]
[ROW][C]0.73[/C][C]9.31392255905657[/C][C]0.048696853254526[/C][/ROW]
[ROW][C]0.74[/C][C]9.32598371860896[/C][C]0.0509579184230986[/C][/ROW]
[ROW][C]0.75[/C][C]9.33875830136841[/C][C]0.0534437248123089[/C][/ROW]
[ROW][C]0.76[/C][C]9.352299276199[/C][C]0.0559276691388732[/C][/ROW]
[ROW][C]0.77[/C][C]9.36662679326159[/C][C]0.0582256857212575[/C][/ROW]
[ROW][C]0.78[/C][C]9.38174613564385[/C][C]0.0602930639809626[/C][/ROW]
[ROW][C]0.79[/C][C]9.39767435883126[/C][C]0.0621948627583606[/C][/ROW]
[ROW][C]0.8[/C][C]9.41446861856144[/C][C]0.0641416679425158[/C][/ROW]
[ROW][C]0.81[/C][C]9.4322477429866[/C][C]0.066414310648074[/C][/ROW]
[ROW][C]0.82[/C][C]9.45120077900582[/C][C]0.0692715364382797[/C][/ROW]
[ROW][C]0.83[/C][C]9.47158118153202[/C][C]0.0728672527903942[/C][/ROW]
[ROW][C]0.84[/C][C]9.4936893768781[/C][C]0.077229560109586[/C][/ROW]
[ROW][C]0.85[/C][C]9.51784539855716[/C][C]0.082273512303488[/C][/ROW]
[ROW][C]0.86[/C][C]9.54434725451578[/C][C]0.0878382887825703[/C][/ROW]
[ROW][C]0.87[/C][C]9.5734077566597[/C][C]0.0935606498818927[/C][/ROW]
[ROW][C]0.88[/C][C]9.60507498967699[/C][C]0.09875339903701[/C][/ROW]
[ROW][C]0.89[/C][C]9.6391716531865[/C][C]0.102424902955828[/C][/ROW]
[ROW][C]0.9[/C][C]9.67531307505515[/C][C]0.103687590627683[/C][/ROW]
[ROW][C]0.91[/C][C]9.71303831541873[/C][C]0.102337916079524[/C][/ROW]
[ROW][C]0.92[/C][C]9.751985584209[/C][C]0.0991724974570674[/C][/ROW]
[ROW][C]0.93[/C][C]9.79190765479563[/C][C]0.0953430097015805[/C][/ROW]
[ROW][C]0.94[/C][C]9.83230015766923[/C][C]0.090783550536812[/C][/ROW]
[ROW][C]0.95[/C][C]9.87168436768163[/C][C]0.0829917370815885[/C][/ROW]
[ROW][C]0.96[/C][C]9.90715408357621[/C][C]0.0684197601557767[/C][/ROW]
[ROW][C]0.97[/C][C]9.93519234453082[/C][C]0.0466238773157354[/C][/ROW]
[ROW][C]0.98[/C][C]9.95396800045718[/C][C]0.0237704022329904[/C][/ROW]
[ROW][C]0.99[/C][C]9.96485760558205[/C][C]0.0104528584659779[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46413&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46413&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
0.018.556078277816330.0120076260433606
0.028.566882748196480.0177245514089835
0.038.580134916237380.0234014172880425
0.048.59473104754870.0280889935152309
0.058.610384674445920.0337241667528828
0.068.627407902551920.0415688470602812
0.078.646267524632580.0504178073429764
0.088.667043240286580.0580274175311566
0.098.689226721513820.0628037809080744
0.18.711920654748940.0644365293229557
0.118.734182318544540.0634990959911508
0.128.755266797970230.0607880097233808
0.138.774699848226980.0568929947633829
0.148.792244309682390.0522446591177309
0.158.807846783338820.0472858158692233
0.168.821606665451390.0425285684631726
0.178.83376296540310.0385930860646759
0.188.844676420020120.0360526822638698
0.198.854791042369040.0353172882004904
0.28.864574165793130.0364229003699709
0.218.874445761182970.038993127584839
0.228.884712801017850.0423983167718354
0.238.89552359401140.0458300829449307
0.248.906852159590570.0485564637039186
0.258.91851556717490.0499939673294304
0.268.930219513064370.049814344475416
0.278.941621177340780.0480008719919349
0.288.952395225687190.044775049348365
0.298.962289413428530.0405914126647403
0.38.971160119463120.0359768765075322
0.318.978983819066160.0315091240212263
0.328.985846179655840.0276473023324209
0.338.991914651846030.0247341047756734
0.348.997402421412170.0229457225708976
0.359.002531494959680.0222276298775640
0.369.007501158885480.0223689472536233
0.379.01246586013490.0230885805989516
0.389.017524316891480.0240414396411948
0.399.022719701873130.0249521023910637
0.49.028049158611630.0256910737399986
0.419.0334797455060.0261083148826791
0.429.038967214142480.0262452581868792
0.439.044473912241190.0261976001036142
0.449.049982617235160.0261175597831006
0.459.055504194334170.0261682530984055
0.469.061078417937290.0265326443424436
0.479.066768765497560.0272795045585905
0.489.072653137016680.0284859713002301
0.499.078813012754820.0300848823908443
0.59.08532345122810.0320106176661446
0.519.092245656350960.0341631137544731
0.529.099622861581580.0364359464325955
0.539.107479303980920.0387462159556025
0.549.115821364668460.0410152442431854
0.559.124639686624150.0431674912284474
0.569.133911245063990.0451509251934022
0.579.143600804970340.0469287792037956
0.589.153661749112930.0484475536021811
0.599.16403670181350.0496256747035636
0.69.174658588578260.0504643835647047
0.619.185452742931320.0509020205835177
0.629.196340466897560.0509086857701561
0.639.207244169835350.0505435691511899
0.649.218093926451960.0498218909254868
0.659.228835029867750.0488480331444166
0.669.239435849319770.0477220431944024
0.679.249895017734950.0466098232270515
0.689.260246706177330.0456779028624099
0.699.270562593959830.04510433863559
0.79.280949263087980.045048547656113
0.719.29154026627350.0456356609115003
0.729.3024830886360.0468754609576448
0.739.313922559056570.048696853254526
0.749.325983718608960.0509579184230986
0.759.338758301368410.0534437248123089
0.769.3522992761990.0559276691388732
0.779.366626793261590.0582256857212575
0.789.381746135643850.0602930639809626
0.799.397674358831260.0621948627583606
0.89.414468618561440.0641416679425158
0.819.43224774298660.066414310648074
0.829.451200779005820.0692715364382797
0.839.471581181532020.0728672527903942
0.849.49368937687810.077229560109586
0.859.517845398557160.082273512303488
0.869.544347254515780.0878382887825703
0.879.57340775665970.0935606498818927
0.889.605074989676990.09875339903701
0.899.63917165318650.102424902955828
0.99.675313075055150.103687590627683
0.919.713038315418730.102337916079524
0.929.7519855842090.0991724974570674
0.939.791907654795630.0953430097015805
0.949.832300157669230.090783550536812
0.959.871684367681630.0829917370815885
0.969.907154083576210.0684197601557767
0.979.935192344530820.0466238773157354
0.989.953968000457180.0237704022329904
0.999.964857605582050.0104528584659779


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')