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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 computationTue, 26 Feb 2008 07:02:14 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/26/t1204034625g7tjrrxq2joygzn.htm/, Retrieved Sat, 04 May 2024 23:35:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9139, Retrieved Sat, 04 May 2024 23:35:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

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] [harrel-davis perc...] [2008-02-26 14:02:14] [cd7facba9466f9e80bdffad33137a939] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.08
1.08
1.09
1.1
1.1
1.11
1.1
1.1
1.11
1.11
1.11
1.11
1.11
1.12
1.11
1.11
1.12
1.12
1.11
1.12
1.11
1.11
1.1
1.1
1.1
1.11
1.1
1.1
1.09
1.1
1.1
1.11
1.13
1.13
1.13
1.13
1.14
1.14
1.14
1.15
1.15
1.15
1.15
1.15
1.15
1.14
1.14
1.14
1.13
1.12
1.13
1.13
1.13
1.12
1.13
1.12
1.12
1.11
1.11
1.11
1.11
1.14
1.15
1.15
1.16
1.15
1.16
1.13
1.13
1.12
1.12
1.11
1.11

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9139&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9139&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.080890433791690.00260922508804285
0.021.082921711810590.0052147505132125
0.031.085780682635860.00646308839223615
0.041.088899915001110.00653143913494188
0.051.091815935496910.00596407140369284
0.061.094279704764330.005061831508997
0.071.096211376399420.00398612676689945
0.081.097631728821600.00290186978098071
0.091.098616870267260.00196600211853188
0.11.099270205772960.00127994009140843
0.111.099701521574330.000890266963937147
0.121.100011727289180.000820396054863153
0.131.100284508405110.00102389674121494
0.141.100583945916520.00140491381831402
0.151.100955280235870.00189785913026786
0.161.1014262768150.00244729496390007
0.171.102008154101150.00299436207674942
0.181.102696392656920.00347581659826904
0.191.103472294453850.00383359913049636
0.21.104305941341820.00402506515094637
0.211.105160581278210.00403190419265347
0.221.105997848122520.00385861201042488
0.231.106782865814590.00353464761980737
0.241.107488295335320.00310305201023633
0.251.108096693033590.00261465376513376
0.261.108601008347770.00211781621722977
0.271.109003486546750.00165110819595012
0.281.109313531775620.00124359631194850
0.291.109545177523450.000908975473268123
0.31.109714728173900.000651904270732032
0.311.109838943771280.000474571345408222
0.321.109933917931080.000374742188401806
0.331.110014606962840.00035753353050035
0.341.110094839602440.000419380440342145
0.351.110187577754580.000552086752654012
0.361.110305198907250.000748233873866379
0.371.110459613582470.00100563033584727
0.381.110662100234370.00132201534762032
0.391.110922822452580.00169054851192497
0.41.111250078333750.00209779806700703
0.411.111649408554660.00252586052612295
0.421.112122745975550.00295221288549341
0.431.112667813432730.00335093730268664
0.441.113277958685430.00369507933712371
0.451.113942554005020.00396352445231448
0.461.114647989918410.00414117222205998
0.471.115379175201720.0042236762046231
0.481.116121342386410.00421734730940093
0.491.11686187544380.00413913900994443
0.51.117591844908170.00401643411308053
0.511.118306966253750.0038830729970132
0.521.119007787405720.00377159997923105
0.531.11969904534870.00371070467445835
0.541.120388284592660.00371586812416579
0.551.121083971953100.0037865528405534
0.561.121793444476510.00390659580826899
0.571.122521069369610.00404684976026715
0.581.123266966793440.00417416197724159
0.591.124026552034280.0042551358228967
0.61.124791009382630.00426683767078818
0.611.125548642346800.00419440328233232
0.621.126286884494260.00403716876648604
0.631.126994631430580.00380888420749304
0.641.12766448876370.00353508344641401
0.651.128294533511510.00325202925271911
0.661.128889255361870.00300214454157945
0.671.129459467870980.00282745321020591
0.681.130021140815560.00276405237356178
0.691.130593283993400.00282913696116115
0.71.131195189053190.00301333353416995
0.711.131843485778070.00328565898095281
0.721.132549563772880.0036003004781538
0.731.133317916246270.00391010018486695
0.741.134145848415170.00417141483095469
0.751.135024744222190.00435370283498571
0.761.135942720642280.00444309696962768
0.771.136888085125310.00445041762051625
0.781.137852661518950.00440432292453903
0.791.138833900600660.00434835862313096
0.81.139834860998570.00432665314634571
0.811.140861676026710.00436333293542875
0.821.141918926747480.00444868339208577
0.831.143004195371110.00453624320342949
0.841.144103653960240.00455863293896621
0.851.145190545170450.00444960648627729
0.861.146227696334910.00416643144411317
0.871.147173935976860.00370479692582779
0.881.147992940775370.00310180939408402
0.891.148662317342300.00242691106652462
0.91.149181208833510.00176733785776844
0.911.149576480311190.00120546919568533
0.921.149909566968930.000828275857617686
0.931.150285694785700.00079421091224676
0.941.150860335109450.00127229204009803
0.951.151822609988700.00224740842932974
0.961.153322122348810.00353524392095316
0.971.155326344751400.00454928154964511
0.981.157485259335420.00432290309488732
0.991.159195631401770.00237043078747726

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.08089043379169 & 0.00260922508804285 \tabularnewline
0.02 & 1.08292171181059 & 0.0052147505132125 \tabularnewline
0.03 & 1.08578068263586 & 0.00646308839223615 \tabularnewline
0.04 & 1.08889991500111 & 0.00653143913494188 \tabularnewline
0.05 & 1.09181593549691 & 0.00596407140369284 \tabularnewline
0.06 & 1.09427970476433 & 0.005061831508997 \tabularnewline
0.07 & 1.09621137639942 & 0.00398612676689945 \tabularnewline
0.08 & 1.09763172882160 & 0.00290186978098071 \tabularnewline
0.09 & 1.09861687026726 & 0.00196600211853188 \tabularnewline
0.1 & 1.09927020577296 & 0.00127994009140843 \tabularnewline
0.11 & 1.09970152157433 & 0.000890266963937147 \tabularnewline
0.12 & 1.10001172728918 & 0.000820396054863153 \tabularnewline
0.13 & 1.10028450840511 & 0.00102389674121494 \tabularnewline
0.14 & 1.10058394591652 & 0.00140491381831402 \tabularnewline
0.15 & 1.10095528023587 & 0.00189785913026786 \tabularnewline
0.16 & 1.101426276815 & 0.00244729496390007 \tabularnewline
0.17 & 1.10200815410115 & 0.00299436207674942 \tabularnewline
0.18 & 1.10269639265692 & 0.00347581659826904 \tabularnewline
0.19 & 1.10347229445385 & 0.00383359913049636 \tabularnewline
0.2 & 1.10430594134182 & 0.00402506515094637 \tabularnewline
0.21 & 1.10516058127821 & 0.00403190419265347 \tabularnewline
0.22 & 1.10599784812252 & 0.00385861201042488 \tabularnewline
0.23 & 1.10678286581459 & 0.00353464761980737 \tabularnewline
0.24 & 1.10748829533532 & 0.00310305201023633 \tabularnewline
0.25 & 1.10809669303359 & 0.00261465376513376 \tabularnewline
0.26 & 1.10860100834777 & 0.00211781621722977 \tabularnewline
0.27 & 1.10900348654675 & 0.00165110819595012 \tabularnewline
0.28 & 1.10931353177562 & 0.00124359631194850 \tabularnewline
0.29 & 1.10954517752345 & 0.000908975473268123 \tabularnewline
0.3 & 1.10971472817390 & 0.000651904270732032 \tabularnewline
0.31 & 1.10983894377128 & 0.000474571345408222 \tabularnewline
0.32 & 1.10993391793108 & 0.000374742188401806 \tabularnewline
0.33 & 1.11001460696284 & 0.00035753353050035 \tabularnewline
0.34 & 1.11009483960244 & 0.000419380440342145 \tabularnewline
0.35 & 1.11018757775458 & 0.000552086752654012 \tabularnewline
0.36 & 1.11030519890725 & 0.000748233873866379 \tabularnewline
0.37 & 1.11045961358247 & 0.00100563033584727 \tabularnewline
0.38 & 1.11066210023437 & 0.00132201534762032 \tabularnewline
0.39 & 1.11092282245258 & 0.00169054851192497 \tabularnewline
0.4 & 1.11125007833375 & 0.00209779806700703 \tabularnewline
0.41 & 1.11164940855466 & 0.00252586052612295 \tabularnewline
0.42 & 1.11212274597555 & 0.00295221288549341 \tabularnewline
0.43 & 1.11266781343273 & 0.00335093730268664 \tabularnewline
0.44 & 1.11327795868543 & 0.00369507933712371 \tabularnewline
0.45 & 1.11394255400502 & 0.00396352445231448 \tabularnewline
0.46 & 1.11464798991841 & 0.00414117222205998 \tabularnewline
0.47 & 1.11537917520172 & 0.0042236762046231 \tabularnewline
0.48 & 1.11612134238641 & 0.00421734730940093 \tabularnewline
0.49 & 1.1168618754438 & 0.00413913900994443 \tabularnewline
0.5 & 1.11759184490817 & 0.00401643411308053 \tabularnewline
0.51 & 1.11830696625375 & 0.0038830729970132 \tabularnewline
0.52 & 1.11900778740572 & 0.00377159997923105 \tabularnewline
0.53 & 1.1196990453487 & 0.00371070467445835 \tabularnewline
0.54 & 1.12038828459266 & 0.00371586812416579 \tabularnewline
0.55 & 1.12108397195310 & 0.0037865528405534 \tabularnewline
0.56 & 1.12179344447651 & 0.00390659580826899 \tabularnewline
0.57 & 1.12252106936961 & 0.00404684976026715 \tabularnewline
0.58 & 1.12326696679344 & 0.00417416197724159 \tabularnewline
0.59 & 1.12402655203428 & 0.0042551358228967 \tabularnewline
0.6 & 1.12479100938263 & 0.00426683767078818 \tabularnewline
0.61 & 1.12554864234680 & 0.00419440328233232 \tabularnewline
0.62 & 1.12628688449426 & 0.00403716876648604 \tabularnewline
0.63 & 1.12699463143058 & 0.00380888420749304 \tabularnewline
0.64 & 1.1276644887637 & 0.00353508344641401 \tabularnewline
0.65 & 1.12829453351151 & 0.00325202925271911 \tabularnewline
0.66 & 1.12888925536187 & 0.00300214454157945 \tabularnewline
0.67 & 1.12945946787098 & 0.00282745321020591 \tabularnewline
0.68 & 1.13002114081556 & 0.00276405237356178 \tabularnewline
0.69 & 1.13059328399340 & 0.00282913696116115 \tabularnewline
0.7 & 1.13119518905319 & 0.00301333353416995 \tabularnewline
0.71 & 1.13184348577807 & 0.00328565898095281 \tabularnewline
0.72 & 1.13254956377288 & 0.0036003004781538 \tabularnewline
0.73 & 1.13331791624627 & 0.00391010018486695 \tabularnewline
0.74 & 1.13414584841517 & 0.00417141483095469 \tabularnewline
0.75 & 1.13502474422219 & 0.00435370283498571 \tabularnewline
0.76 & 1.13594272064228 & 0.00444309696962768 \tabularnewline
0.77 & 1.13688808512531 & 0.00445041762051625 \tabularnewline
0.78 & 1.13785266151895 & 0.00440432292453903 \tabularnewline
0.79 & 1.13883390060066 & 0.00434835862313096 \tabularnewline
0.8 & 1.13983486099857 & 0.00432665314634571 \tabularnewline
0.81 & 1.14086167602671 & 0.00436333293542875 \tabularnewline
0.82 & 1.14191892674748 & 0.00444868339208577 \tabularnewline
0.83 & 1.14300419537111 & 0.00453624320342949 \tabularnewline
0.84 & 1.14410365396024 & 0.00455863293896621 \tabularnewline
0.85 & 1.14519054517045 & 0.00444960648627729 \tabularnewline
0.86 & 1.14622769633491 & 0.00416643144411317 \tabularnewline
0.87 & 1.14717393597686 & 0.00370479692582779 \tabularnewline
0.88 & 1.14799294077537 & 0.00310180939408402 \tabularnewline
0.89 & 1.14866231734230 & 0.00242691106652462 \tabularnewline
0.9 & 1.14918120883351 & 0.00176733785776844 \tabularnewline
0.91 & 1.14957648031119 & 0.00120546919568533 \tabularnewline
0.92 & 1.14990956696893 & 0.000828275857617686 \tabularnewline
0.93 & 1.15028569478570 & 0.00079421091224676 \tabularnewline
0.94 & 1.15086033510945 & 0.00127229204009803 \tabularnewline
0.95 & 1.15182260998870 & 0.00224740842932974 \tabularnewline
0.96 & 1.15332212234881 & 0.00353524392095316 \tabularnewline
0.97 & 1.15532634475140 & 0.00454928154964511 \tabularnewline
0.98 & 1.15748525933542 & 0.00432290309488732 \tabularnewline
0.99 & 1.15919563140177 & 0.00237043078747726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9139&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]1.08089043379169[/C][C]0.00260922508804285[/C][/ROW]
[ROW][C]0.02[/C][C]1.08292171181059[/C][C]0.0052147505132125[/C][/ROW]
[ROW][C]0.03[/C][C]1.08578068263586[/C][C]0.00646308839223615[/C][/ROW]
[ROW][C]0.04[/C][C]1.08889991500111[/C][C]0.00653143913494188[/C][/ROW]
[ROW][C]0.05[/C][C]1.09181593549691[/C][C]0.00596407140369284[/C][/ROW]
[ROW][C]0.06[/C][C]1.09427970476433[/C][C]0.005061831508997[/C][/ROW]
[ROW][C]0.07[/C][C]1.09621137639942[/C][C]0.00398612676689945[/C][/ROW]
[ROW][C]0.08[/C][C]1.09763172882160[/C][C]0.00290186978098071[/C][/ROW]
[ROW][C]0.09[/C][C]1.09861687026726[/C][C]0.00196600211853188[/C][/ROW]
[ROW][C]0.1[/C][C]1.09927020577296[/C][C]0.00127994009140843[/C][/ROW]
[ROW][C]0.11[/C][C]1.09970152157433[/C][C]0.000890266963937147[/C][/ROW]
[ROW][C]0.12[/C][C]1.10001172728918[/C][C]0.000820396054863153[/C][/ROW]
[ROW][C]0.13[/C][C]1.10028450840511[/C][C]0.00102389674121494[/C][/ROW]
[ROW][C]0.14[/C][C]1.10058394591652[/C][C]0.00140491381831402[/C][/ROW]
[ROW][C]0.15[/C][C]1.10095528023587[/C][C]0.00189785913026786[/C][/ROW]
[ROW][C]0.16[/C][C]1.101426276815[/C][C]0.00244729496390007[/C][/ROW]
[ROW][C]0.17[/C][C]1.10200815410115[/C][C]0.00299436207674942[/C][/ROW]
[ROW][C]0.18[/C][C]1.10269639265692[/C][C]0.00347581659826904[/C][/ROW]
[ROW][C]0.19[/C][C]1.10347229445385[/C][C]0.00383359913049636[/C][/ROW]
[ROW][C]0.2[/C][C]1.10430594134182[/C][C]0.00402506515094637[/C][/ROW]
[ROW][C]0.21[/C][C]1.10516058127821[/C][C]0.00403190419265347[/C][/ROW]
[ROW][C]0.22[/C][C]1.10599784812252[/C][C]0.00385861201042488[/C][/ROW]
[ROW][C]0.23[/C][C]1.10678286581459[/C][C]0.00353464761980737[/C][/ROW]
[ROW][C]0.24[/C][C]1.10748829533532[/C][C]0.00310305201023633[/C][/ROW]
[ROW][C]0.25[/C][C]1.10809669303359[/C][C]0.00261465376513376[/C][/ROW]
[ROW][C]0.26[/C][C]1.10860100834777[/C][C]0.00211781621722977[/C][/ROW]
[ROW][C]0.27[/C][C]1.10900348654675[/C][C]0.00165110819595012[/C][/ROW]
[ROW][C]0.28[/C][C]1.10931353177562[/C][C]0.00124359631194850[/C][/ROW]
[ROW][C]0.29[/C][C]1.10954517752345[/C][C]0.000908975473268123[/C][/ROW]
[ROW][C]0.3[/C][C]1.10971472817390[/C][C]0.000651904270732032[/C][/ROW]
[ROW][C]0.31[/C][C]1.10983894377128[/C][C]0.000474571345408222[/C][/ROW]
[ROW][C]0.32[/C][C]1.10993391793108[/C][C]0.000374742188401806[/C][/ROW]
[ROW][C]0.33[/C][C]1.11001460696284[/C][C]0.00035753353050035[/C][/ROW]
[ROW][C]0.34[/C][C]1.11009483960244[/C][C]0.000419380440342145[/C][/ROW]
[ROW][C]0.35[/C][C]1.11018757775458[/C][C]0.000552086752654012[/C][/ROW]
[ROW][C]0.36[/C][C]1.11030519890725[/C][C]0.000748233873866379[/C][/ROW]
[ROW][C]0.37[/C][C]1.11045961358247[/C][C]0.00100563033584727[/C][/ROW]
[ROW][C]0.38[/C][C]1.11066210023437[/C][C]0.00132201534762032[/C][/ROW]
[ROW][C]0.39[/C][C]1.11092282245258[/C][C]0.00169054851192497[/C][/ROW]
[ROW][C]0.4[/C][C]1.11125007833375[/C][C]0.00209779806700703[/C][/ROW]
[ROW][C]0.41[/C][C]1.11164940855466[/C][C]0.00252586052612295[/C][/ROW]
[ROW][C]0.42[/C][C]1.11212274597555[/C][C]0.00295221288549341[/C][/ROW]
[ROW][C]0.43[/C][C]1.11266781343273[/C][C]0.00335093730268664[/C][/ROW]
[ROW][C]0.44[/C][C]1.11327795868543[/C][C]0.00369507933712371[/C][/ROW]
[ROW][C]0.45[/C][C]1.11394255400502[/C][C]0.00396352445231448[/C][/ROW]
[ROW][C]0.46[/C][C]1.11464798991841[/C][C]0.00414117222205998[/C][/ROW]
[ROW][C]0.47[/C][C]1.11537917520172[/C][C]0.0042236762046231[/C][/ROW]
[ROW][C]0.48[/C][C]1.11612134238641[/C][C]0.00421734730940093[/C][/ROW]
[ROW][C]0.49[/C][C]1.1168618754438[/C][C]0.00413913900994443[/C][/ROW]
[ROW][C]0.5[/C][C]1.11759184490817[/C][C]0.00401643411308053[/C][/ROW]
[ROW][C]0.51[/C][C]1.11830696625375[/C][C]0.0038830729970132[/C][/ROW]
[ROW][C]0.52[/C][C]1.11900778740572[/C][C]0.00377159997923105[/C][/ROW]
[ROW][C]0.53[/C][C]1.1196990453487[/C][C]0.00371070467445835[/C][/ROW]
[ROW][C]0.54[/C][C]1.12038828459266[/C][C]0.00371586812416579[/C][/ROW]
[ROW][C]0.55[/C][C]1.12108397195310[/C][C]0.0037865528405534[/C][/ROW]
[ROW][C]0.56[/C][C]1.12179344447651[/C][C]0.00390659580826899[/C][/ROW]
[ROW][C]0.57[/C][C]1.12252106936961[/C][C]0.00404684976026715[/C][/ROW]
[ROW][C]0.58[/C][C]1.12326696679344[/C][C]0.00417416197724159[/C][/ROW]
[ROW][C]0.59[/C][C]1.12402655203428[/C][C]0.0042551358228967[/C][/ROW]
[ROW][C]0.6[/C][C]1.12479100938263[/C][C]0.00426683767078818[/C][/ROW]
[ROW][C]0.61[/C][C]1.12554864234680[/C][C]0.00419440328233232[/C][/ROW]
[ROW][C]0.62[/C][C]1.12628688449426[/C][C]0.00403716876648604[/C][/ROW]
[ROW][C]0.63[/C][C]1.12699463143058[/C][C]0.00380888420749304[/C][/ROW]
[ROW][C]0.64[/C][C]1.1276644887637[/C][C]0.00353508344641401[/C][/ROW]
[ROW][C]0.65[/C][C]1.12829453351151[/C][C]0.00325202925271911[/C][/ROW]
[ROW][C]0.66[/C][C]1.12888925536187[/C][C]0.00300214454157945[/C][/ROW]
[ROW][C]0.67[/C][C]1.12945946787098[/C][C]0.00282745321020591[/C][/ROW]
[ROW][C]0.68[/C][C]1.13002114081556[/C][C]0.00276405237356178[/C][/ROW]
[ROW][C]0.69[/C][C]1.13059328399340[/C][C]0.00282913696116115[/C][/ROW]
[ROW][C]0.7[/C][C]1.13119518905319[/C][C]0.00301333353416995[/C][/ROW]
[ROW][C]0.71[/C][C]1.13184348577807[/C][C]0.00328565898095281[/C][/ROW]
[ROW][C]0.72[/C][C]1.13254956377288[/C][C]0.0036003004781538[/C][/ROW]
[ROW][C]0.73[/C][C]1.13331791624627[/C][C]0.00391010018486695[/C][/ROW]
[ROW][C]0.74[/C][C]1.13414584841517[/C][C]0.00417141483095469[/C][/ROW]
[ROW][C]0.75[/C][C]1.13502474422219[/C][C]0.00435370283498571[/C][/ROW]
[ROW][C]0.76[/C][C]1.13594272064228[/C][C]0.00444309696962768[/C][/ROW]
[ROW][C]0.77[/C][C]1.13688808512531[/C][C]0.00445041762051625[/C][/ROW]
[ROW][C]0.78[/C][C]1.13785266151895[/C][C]0.00440432292453903[/C][/ROW]
[ROW][C]0.79[/C][C]1.13883390060066[/C][C]0.00434835862313096[/C][/ROW]
[ROW][C]0.8[/C][C]1.13983486099857[/C][C]0.00432665314634571[/C][/ROW]
[ROW][C]0.81[/C][C]1.14086167602671[/C][C]0.00436333293542875[/C][/ROW]
[ROW][C]0.82[/C][C]1.14191892674748[/C][C]0.00444868339208577[/C][/ROW]
[ROW][C]0.83[/C][C]1.14300419537111[/C][C]0.00453624320342949[/C][/ROW]
[ROW][C]0.84[/C][C]1.14410365396024[/C][C]0.00455863293896621[/C][/ROW]
[ROW][C]0.85[/C][C]1.14519054517045[/C][C]0.00444960648627729[/C][/ROW]
[ROW][C]0.86[/C][C]1.14622769633491[/C][C]0.00416643144411317[/C][/ROW]
[ROW][C]0.87[/C][C]1.14717393597686[/C][C]0.00370479692582779[/C][/ROW]
[ROW][C]0.88[/C][C]1.14799294077537[/C][C]0.00310180939408402[/C][/ROW]
[ROW][C]0.89[/C][C]1.14866231734230[/C][C]0.00242691106652462[/C][/ROW]
[ROW][C]0.9[/C][C]1.14918120883351[/C][C]0.00176733785776844[/C][/ROW]
[ROW][C]0.91[/C][C]1.14957648031119[/C][C]0.00120546919568533[/C][/ROW]
[ROW][C]0.92[/C][C]1.14990956696893[/C][C]0.000828275857617686[/C][/ROW]
[ROW][C]0.93[/C][C]1.15028569478570[/C][C]0.00079421091224676[/C][/ROW]
[ROW][C]0.94[/C][C]1.15086033510945[/C][C]0.00127229204009803[/C][/ROW]
[ROW][C]0.95[/C][C]1.15182260998870[/C][C]0.00224740842932974[/C][/ROW]
[ROW][C]0.96[/C][C]1.15332212234881[/C][C]0.00353524392095316[/C][/ROW]
[ROW][C]0.97[/C][C]1.15532634475140[/C][C]0.00454928154964511[/C][/ROW]
[ROW][C]0.98[/C][C]1.15748525933542[/C][C]0.00432290309488732[/C][/ROW]
[ROW][C]0.99[/C][C]1.15919563140177[/C][C]0.00237043078747726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9139&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
0.011.080890433791690.00260922508804285
0.021.082921711810590.0052147505132125
0.031.085780682635860.00646308839223615
0.041.088899915001110.00653143913494188
0.051.091815935496910.00596407140369284
0.061.094279704764330.005061831508997
0.071.096211376399420.00398612676689945
0.081.097631728821600.00290186978098071
0.091.098616870267260.00196600211853188
0.11.099270205772960.00127994009140843
0.111.099701521574330.000890266963937147
0.121.100011727289180.000820396054863153
0.131.100284508405110.00102389674121494
0.141.100583945916520.00140491381831402
0.151.100955280235870.00189785913026786
0.161.1014262768150.00244729496390007
0.171.102008154101150.00299436207674942
0.181.102696392656920.00347581659826904
0.191.103472294453850.00383359913049636
0.21.104305941341820.00402506515094637
0.211.105160581278210.00403190419265347
0.221.105997848122520.00385861201042488
0.231.106782865814590.00353464761980737
0.241.107488295335320.00310305201023633
0.251.108096693033590.00261465376513376
0.261.108601008347770.00211781621722977
0.271.109003486546750.00165110819595012
0.281.109313531775620.00124359631194850
0.291.109545177523450.000908975473268123
0.31.109714728173900.000651904270732032
0.311.109838943771280.000474571345408222
0.321.109933917931080.000374742188401806
0.331.110014606962840.00035753353050035
0.341.110094839602440.000419380440342145
0.351.110187577754580.000552086752654012
0.361.110305198907250.000748233873866379
0.371.110459613582470.00100563033584727
0.381.110662100234370.00132201534762032
0.391.110922822452580.00169054851192497
0.41.111250078333750.00209779806700703
0.411.111649408554660.00252586052612295
0.421.112122745975550.00295221288549341
0.431.112667813432730.00335093730268664
0.441.113277958685430.00369507933712371
0.451.113942554005020.00396352445231448
0.461.114647989918410.00414117222205998
0.471.115379175201720.0042236762046231
0.481.116121342386410.00421734730940093
0.491.11686187544380.00413913900994443
0.51.117591844908170.00401643411308053
0.511.118306966253750.0038830729970132
0.521.119007787405720.00377159997923105
0.531.11969904534870.00371070467445835
0.541.120388284592660.00371586812416579
0.551.121083971953100.0037865528405534
0.561.121793444476510.00390659580826899
0.571.122521069369610.00404684976026715
0.581.123266966793440.00417416197724159
0.591.124026552034280.0042551358228967
0.61.124791009382630.00426683767078818
0.611.125548642346800.00419440328233232
0.621.126286884494260.00403716876648604
0.631.126994631430580.00380888420749304
0.641.12766448876370.00353508344641401
0.651.128294533511510.00325202925271911
0.661.128889255361870.00300214454157945
0.671.129459467870980.00282745321020591
0.681.130021140815560.00276405237356178
0.691.130593283993400.00282913696116115
0.71.131195189053190.00301333353416995
0.711.131843485778070.00328565898095281
0.721.132549563772880.0036003004781538
0.731.133317916246270.00391010018486695
0.741.134145848415170.00417141483095469
0.751.135024744222190.00435370283498571
0.761.135942720642280.00444309696962768
0.771.136888085125310.00445041762051625
0.781.137852661518950.00440432292453903
0.791.138833900600660.00434835862313096
0.81.139834860998570.00432665314634571
0.811.140861676026710.00436333293542875
0.821.141918926747480.00444868339208577
0.831.143004195371110.00453624320342949
0.841.144103653960240.00455863293896621
0.851.145190545170450.00444960648627729
0.861.146227696334910.00416643144411317
0.871.147173935976860.00370479692582779
0.881.147992940775370.00310180939408402
0.891.148662317342300.00242691106652462
0.91.149181208833510.00176733785776844
0.911.149576480311190.00120546919568533
0.921.149909566968930.000828275857617686
0.931.150285694785700.00079421091224676
0.941.150860335109450.00127229204009803
0.951.151822609988700.00224740842932974
0.961.153322122348810.00353524392095316
0.971.155326344751400.00454928154964511
0.981.157485259335420.00432290309488732
0.991.159195631401770.00237043078747726


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')