FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 21 Apr 2008 13:55:34 -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/2008/Apr/21/t1208807832yec9gmtfkxd6ty7.htm/, Retrieved Thu, 31 Oct 2024 23:03:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10593, Retrieved Thu, 31 Oct 2024 23:03:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

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] [opgave 4 oef 2 vr...] [2008-04-21 19:55:34] [b46ff5180a79ecd706507099e9497e04] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9,26
9,27
9,29
9,27
9,29
9,31
9,33
9,35
9,34
9,35
9,38
9,43
9,47
9,5
9,55
9,58
9,61
9,57
9,61
9,65
9,62
9,63
9,62
9,63
9,65
9,72
9,75
9,77
9,78
9,82
9,84
9,9
9,94
9,96
10,03
10,03
10,12
10,12
10,05
10,14
10,17
10,2
10,2
10,35
10,43
10,52
10,57
10,57
10,57
10,65
10,57
10,61
10,63
10,71
10,72
10,77
10,79
10,82
10,9
10,83
10,92
10,91
10,88
10,87
11
10,99
11,03
11,04
10,99
10,9
11
10,99

Tables (Output of Computation)





Summary of compuational 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 compuational 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=10593&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]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=10593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10593&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.263076734422360.00873511165554283
0.029.268007193708740.00928294599950668
0.039.273923652967260.0123090801391391
0.049.280638816114160.0162178287599390
0.059.288210197067280.0200495949488452
0.069.296629071376410.0236388170284152
0.079.305820682556320.0271262200308715
0.089.315737750006650.030773082484882
0.099.326421960423070.0350409186171105
0.19.338015548008160.0403746502950924
0.119.350731096079830.0469973415387902
0.129.364789500238350.0546758175997686
0.139.380343503536940.0628252282600602
0.149.397411094170530.0706177454948511
0.159.415840039759740.0772544899336498
0.169.435312853063690.0820584492482315
0.179.455387635869830.0846243944154637
0.189.475560820963460.0848535656218001
0.199.495335136069130.0829158273176872
0.29.514278945086740.0792248500211902
0.219.532068692505760.0742827557259447
0.229.54851184384000.0687074576460989
0.239.563551872993070.0631109273960418
0.249.57725903463340.0580301517638547
0.259.589811210735650.0539743374781306
0.269.601468704638150.0513621889706108
0.279.612546111071160.0504716869680127
0.289.623383728922920.0513876580657362
0.299.634320552167820.0540424610211407
0.39.645670615334360.0582146240778623
0.319.657704223784050.0635626725029413
0.329.670635210490970.0697374857850312
0.339.684614756485010.0763712032887525
0.349.699731534420250.0831841553019275
0.359.716017129176930.0899039069399033
0.369.733455051050430.0963371268147077
0.379.75199135910540.102355532112107
0.389.77154504168550.107868778652930
0.399.79201682461890.112849917681175
0.49.81329584946460.117203526429115
0.419.835264470963990.120923880507590
0.429.857802049463050.123983291744813
0.439.880788905034370.126352209972625
0.449.90411149771290.128065820277365
0.459.927669447426580.129178863355536
0.469.951384330129870.129819379039916
0.479.975209442560250.130181334884059
0.489.9991390736990.130538831781449
0.4910.0232153848120.13119304356896
0.510.04753087260510.132474599328020
0.5110.07222462608190.134692828442877
0.5210.09747120701780.138053053214972
0.5310.12346196475580.142634922252535
0.5410.15037985806080.148321554206595
0.5510.17837024327770.154834488186309
0.5610.20751136132900.161647261827094
0.5710.2377891212610.16812142047186
0.5810.26908094122060.173560643570341
0.5910.30115266010010.177291144680252
0.610.33367083783940.178739481411496
0.6110.36623031258320.177555373857634
0.6210.39839410114600.173679645030681
0.6310.42974019523750.167275630066935
0.6410.45990812193390.158852712227334
0.6510.48863776527650.149071135397239
0.6610.51579406754270.138770284161169
0.6710.54137367047780.128765684024638
0.6810.56549281621690.119757539793527
0.6910.58835919386630.112253221813648
0.710.61023315394490.106488930270368
0.7110.63138524684790.102385681706734
0.7210.65205710722490.0996186090170524
0.7310.67243139820080.0977289105846009
0.7410.69261425939940.0961945823111615
0.7510.71263107802780.094563860404579
0.7610.73243406361370.0924755267988833
0.7710.75191856693020.0897065081350084
0.7810.77094459717140.0861597439343648
0.7910.78936047957360.0818516117047396
0.810.80702663853670.0769036039414663
0.8110.82383841237700.0715084879409611
0.8210.83974687466450.0659334107550024
0.8310.85477540077570.0605016299799096
0.8410.86902740880770.0555877829120711
0.8510.88267855000180.0515434846218393
0.8610.89594676699600.0486413717373119
0.8710.90903833717070.0468587757591785
0.8810.92207808935180.0457967615228437
0.8910.93504505869000.0447005525953471
0.910.94774476782610.0427102667932824
0.9110.95984803742490.0392130912804225
0.9210.97100810635850.0341389182375804
0.9310.98103378224870.0281245547625893
0.9410.99005430498720.0224204905204143
0.9510.99857479945770.0185946538299589
0.9611.00731124364260.0176276454244170
0.9711.01674847669700.0182635813775875
0.9811.02652717011560.0174350521382613
0.9911.03504667664070.0135885053199889

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.26307673442236 & 0.00873511165554283 \tabularnewline
0.02 & 9.26800719370874 & 0.00928294599950668 \tabularnewline
0.03 & 9.27392365296726 & 0.0123090801391391 \tabularnewline
0.04 & 9.28063881611416 & 0.0162178287599390 \tabularnewline
0.05 & 9.28821019706728 & 0.0200495949488452 \tabularnewline
0.06 & 9.29662907137641 & 0.0236388170284152 \tabularnewline
0.07 & 9.30582068255632 & 0.0271262200308715 \tabularnewline
0.08 & 9.31573775000665 & 0.030773082484882 \tabularnewline
0.09 & 9.32642196042307 & 0.0350409186171105 \tabularnewline
0.1 & 9.33801554800816 & 0.0403746502950924 \tabularnewline
0.11 & 9.35073109607983 & 0.0469973415387902 \tabularnewline
0.12 & 9.36478950023835 & 0.0546758175997686 \tabularnewline
0.13 & 9.38034350353694 & 0.0628252282600602 \tabularnewline
0.14 & 9.39741109417053 & 0.0706177454948511 \tabularnewline
0.15 & 9.41584003975974 & 0.0772544899336498 \tabularnewline
0.16 & 9.43531285306369 & 0.0820584492482315 \tabularnewline
0.17 & 9.45538763586983 & 0.0846243944154637 \tabularnewline
0.18 & 9.47556082096346 & 0.0848535656218001 \tabularnewline
0.19 & 9.49533513606913 & 0.0829158273176872 \tabularnewline
0.2 & 9.51427894508674 & 0.0792248500211902 \tabularnewline
0.21 & 9.53206869250576 & 0.0742827557259447 \tabularnewline
0.22 & 9.5485118438400 & 0.0687074576460989 \tabularnewline
0.23 & 9.56355187299307 & 0.0631109273960418 \tabularnewline
0.24 & 9.5772590346334 & 0.0580301517638547 \tabularnewline
0.25 & 9.58981121073565 & 0.0539743374781306 \tabularnewline
0.26 & 9.60146870463815 & 0.0513621889706108 \tabularnewline
0.27 & 9.61254611107116 & 0.0504716869680127 \tabularnewline
0.28 & 9.62338372892292 & 0.0513876580657362 \tabularnewline
0.29 & 9.63432055216782 & 0.0540424610211407 \tabularnewline
0.3 & 9.64567061533436 & 0.0582146240778623 \tabularnewline
0.31 & 9.65770422378405 & 0.0635626725029413 \tabularnewline
0.32 & 9.67063521049097 & 0.0697374857850312 \tabularnewline
0.33 & 9.68461475648501 & 0.0763712032887525 \tabularnewline
0.34 & 9.69973153442025 & 0.0831841553019275 \tabularnewline
0.35 & 9.71601712917693 & 0.0899039069399033 \tabularnewline
0.36 & 9.73345505105043 & 0.0963371268147077 \tabularnewline
0.37 & 9.7519913591054 & 0.102355532112107 \tabularnewline
0.38 & 9.7715450416855 & 0.107868778652930 \tabularnewline
0.39 & 9.7920168246189 & 0.112849917681175 \tabularnewline
0.4 & 9.8132958494646 & 0.117203526429115 \tabularnewline
0.41 & 9.83526447096399 & 0.120923880507590 \tabularnewline
0.42 & 9.85780204946305 & 0.123983291744813 \tabularnewline
0.43 & 9.88078890503437 & 0.126352209972625 \tabularnewline
0.44 & 9.9041114977129 & 0.128065820277365 \tabularnewline
0.45 & 9.92766944742658 & 0.129178863355536 \tabularnewline
0.46 & 9.95138433012987 & 0.129819379039916 \tabularnewline
0.47 & 9.97520944256025 & 0.130181334884059 \tabularnewline
0.48 & 9.999139073699 & 0.130538831781449 \tabularnewline
0.49 & 10.023215384812 & 0.13119304356896 \tabularnewline
0.5 & 10.0475308726051 & 0.132474599328020 \tabularnewline
0.51 & 10.0722246260819 & 0.134692828442877 \tabularnewline
0.52 & 10.0974712070178 & 0.138053053214972 \tabularnewline
0.53 & 10.1234619647558 & 0.142634922252535 \tabularnewline
0.54 & 10.1503798580608 & 0.148321554206595 \tabularnewline
0.55 & 10.1783702432777 & 0.154834488186309 \tabularnewline
0.56 & 10.2075113613290 & 0.161647261827094 \tabularnewline
0.57 & 10.237789121261 & 0.16812142047186 \tabularnewline
0.58 & 10.2690809412206 & 0.173560643570341 \tabularnewline
0.59 & 10.3011526601001 & 0.177291144680252 \tabularnewline
0.6 & 10.3336708378394 & 0.178739481411496 \tabularnewline
0.61 & 10.3662303125832 & 0.177555373857634 \tabularnewline
0.62 & 10.3983941011460 & 0.173679645030681 \tabularnewline
0.63 & 10.4297401952375 & 0.167275630066935 \tabularnewline
0.64 & 10.4599081219339 & 0.158852712227334 \tabularnewline
0.65 & 10.4886377652765 & 0.149071135397239 \tabularnewline
0.66 & 10.5157940675427 & 0.138770284161169 \tabularnewline
0.67 & 10.5413736704778 & 0.128765684024638 \tabularnewline
0.68 & 10.5654928162169 & 0.119757539793527 \tabularnewline
0.69 & 10.5883591938663 & 0.112253221813648 \tabularnewline
0.7 & 10.6102331539449 & 0.106488930270368 \tabularnewline
0.71 & 10.6313852468479 & 0.102385681706734 \tabularnewline
0.72 & 10.6520571072249 & 0.0996186090170524 \tabularnewline
0.73 & 10.6724313982008 & 0.0977289105846009 \tabularnewline
0.74 & 10.6926142593994 & 0.0961945823111615 \tabularnewline
0.75 & 10.7126310780278 & 0.094563860404579 \tabularnewline
0.76 & 10.7324340636137 & 0.0924755267988833 \tabularnewline
0.77 & 10.7519185669302 & 0.0897065081350084 \tabularnewline
0.78 & 10.7709445971714 & 0.0861597439343648 \tabularnewline
0.79 & 10.7893604795736 & 0.0818516117047396 \tabularnewline
0.8 & 10.8070266385367 & 0.0769036039414663 \tabularnewline
0.81 & 10.8238384123770 & 0.0715084879409611 \tabularnewline
0.82 & 10.8397468746645 & 0.0659334107550024 \tabularnewline
0.83 & 10.8547754007757 & 0.0605016299799096 \tabularnewline
0.84 & 10.8690274088077 & 0.0555877829120711 \tabularnewline
0.85 & 10.8826785500018 & 0.0515434846218393 \tabularnewline
0.86 & 10.8959467669960 & 0.0486413717373119 \tabularnewline
0.87 & 10.9090383371707 & 0.0468587757591785 \tabularnewline
0.88 & 10.9220780893518 & 0.0457967615228437 \tabularnewline
0.89 & 10.9350450586900 & 0.0447005525953471 \tabularnewline
0.9 & 10.9477447678261 & 0.0427102667932824 \tabularnewline
0.91 & 10.9598480374249 & 0.0392130912804225 \tabularnewline
0.92 & 10.9710081063585 & 0.0341389182375804 \tabularnewline
0.93 & 10.9810337822487 & 0.0281245547625893 \tabularnewline
0.94 & 10.9900543049872 & 0.0224204905204143 \tabularnewline
0.95 & 10.9985747994577 & 0.0185946538299589 \tabularnewline
0.96 & 11.0073112436426 & 0.0176276454244170 \tabularnewline
0.97 & 11.0167484766970 & 0.0182635813775875 \tabularnewline
0.98 & 11.0265271701156 & 0.0174350521382613 \tabularnewline
0.99 & 11.0350466766407 & 0.0135885053199889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10593&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]9.26307673442236[/C][C]0.00873511165554283[/C][/ROW]
[ROW][C]0.02[/C][C]9.26800719370874[/C][C]0.00928294599950668[/C][/ROW]
[ROW][C]0.03[/C][C]9.27392365296726[/C][C]0.0123090801391391[/C][/ROW]
[ROW][C]0.04[/C][C]9.28063881611416[/C][C]0.0162178287599390[/C][/ROW]
[ROW][C]0.05[/C][C]9.28821019706728[/C][C]0.0200495949488452[/C][/ROW]
[ROW][C]0.06[/C][C]9.29662907137641[/C][C]0.0236388170284152[/C][/ROW]
[ROW][C]0.07[/C][C]9.30582068255632[/C][C]0.0271262200308715[/C][/ROW]
[ROW][C]0.08[/C][C]9.31573775000665[/C][C]0.030773082484882[/C][/ROW]
[ROW][C]0.09[/C][C]9.32642196042307[/C][C]0.0350409186171105[/C][/ROW]
[ROW][C]0.1[/C][C]9.33801554800816[/C][C]0.0403746502950924[/C][/ROW]
[ROW][C]0.11[/C][C]9.35073109607983[/C][C]0.0469973415387902[/C][/ROW]
[ROW][C]0.12[/C][C]9.36478950023835[/C][C]0.0546758175997686[/C][/ROW]
[ROW][C]0.13[/C][C]9.38034350353694[/C][C]0.0628252282600602[/C][/ROW]
[ROW][C]0.14[/C][C]9.39741109417053[/C][C]0.0706177454948511[/C][/ROW]
[ROW][C]0.15[/C][C]9.41584003975974[/C][C]0.0772544899336498[/C][/ROW]
[ROW][C]0.16[/C][C]9.43531285306369[/C][C]0.0820584492482315[/C][/ROW]
[ROW][C]0.17[/C][C]9.45538763586983[/C][C]0.0846243944154637[/C][/ROW]
[ROW][C]0.18[/C][C]9.47556082096346[/C][C]0.0848535656218001[/C][/ROW]
[ROW][C]0.19[/C][C]9.49533513606913[/C][C]0.0829158273176872[/C][/ROW]
[ROW][C]0.2[/C][C]9.51427894508674[/C][C]0.0792248500211902[/C][/ROW]
[ROW][C]0.21[/C][C]9.53206869250576[/C][C]0.0742827557259447[/C][/ROW]
[ROW][C]0.22[/C][C]9.5485118438400[/C][C]0.0687074576460989[/C][/ROW]
[ROW][C]0.23[/C][C]9.56355187299307[/C][C]0.0631109273960418[/C][/ROW]
[ROW][C]0.24[/C][C]9.5772590346334[/C][C]0.0580301517638547[/C][/ROW]
[ROW][C]0.25[/C][C]9.58981121073565[/C][C]0.0539743374781306[/C][/ROW]
[ROW][C]0.26[/C][C]9.60146870463815[/C][C]0.0513621889706108[/C][/ROW]
[ROW][C]0.27[/C][C]9.61254611107116[/C][C]0.0504716869680127[/C][/ROW]
[ROW][C]0.28[/C][C]9.62338372892292[/C][C]0.0513876580657362[/C][/ROW]
[ROW][C]0.29[/C][C]9.63432055216782[/C][C]0.0540424610211407[/C][/ROW]
[ROW][C]0.3[/C][C]9.64567061533436[/C][C]0.0582146240778623[/C][/ROW]
[ROW][C]0.31[/C][C]9.65770422378405[/C][C]0.0635626725029413[/C][/ROW]
[ROW][C]0.32[/C][C]9.67063521049097[/C][C]0.0697374857850312[/C][/ROW]
[ROW][C]0.33[/C][C]9.68461475648501[/C][C]0.0763712032887525[/C][/ROW]
[ROW][C]0.34[/C][C]9.69973153442025[/C][C]0.0831841553019275[/C][/ROW]
[ROW][C]0.35[/C][C]9.71601712917693[/C][C]0.0899039069399033[/C][/ROW]
[ROW][C]0.36[/C][C]9.73345505105043[/C][C]0.0963371268147077[/C][/ROW]
[ROW][C]0.37[/C][C]9.7519913591054[/C][C]0.102355532112107[/C][/ROW]
[ROW][C]0.38[/C][C]9.7715450416855[/C][C]0.107868778652930[/C][/ROW]
[ROW][C]0.39[/C][C]9.7920168246189[/C][C]0.112849917681175[/C][/ROW]
[ROW][C]0.4[/C][C]9.8132958494646[/C][C]0.117203526429115[/C][/ROW]
[ROW][C]0.41[/C][C]9.83526447096399[/C][C]0.120923880507590[/C][/ROW]
[ROW][C]0.42[/C][C]9.85780204946305[/C][C]0.123983291744813[/C][/ROW]
[ROW][C]0.43[/C][C]9.88078890503437[/C][C]0.126352209972625[/C][/ROW]
[ROW][C]0.44[/C][C]9.9041114977129[/C][C]0.128065820277365[/C][/ROW]
[ROW][C]0.45[/C][C]9.92766944742658[/C][C]0.129178863355536[/C][/ROW]
[ROW][C]0.46[/C][C]9.95138433012987[/C][C]0.129819379039916[/C][/ROW]
[ROW][C]0.47[/C][C]9.97520944256025[/C][C]0.130181334884059[/C][/ROW]
[ROW][C]0.48[/C][C]9.999139073699[/C][C]0.130538831781449[/C][/ROW]
[ROW][C]0.49[/C][C]10.023215384812[/C][C]0.13119304356896[/C][/ROW]
[ROW][C]0.5[/C][C]10.0475308726051[/C][C]0.132474599328020[/C][/ROW]
[ROW][C]0.51[/C][C]10.0722246260819[/C][C]0.134692828442877[/C][/ROW]
[ROW][C]0.52[/C][C]10.0974712070178[/C][C]0.138053053214972[/C][/ROW]
[ROW][C]0.53[/C][C]10.1234619647558[/C][C]0.142634922252535[/C][/ROW]
[ROW][C]0.54[/C][C]10.1503798580608[/C][C]0.148321554206595[/C][/ROW]
[ROW][C]0.55[/C][C]10.1783702432777[/C][C]0.154834488186309[/C][/ROW]
[ROW][C]0.56[/C][C]10.2075113613290[/C][C]0.161647261827094[/C][/ROW]
[ROW][C]0.57[/C][C]10.237789121261[/C][C]0.16812142047186[/C][/ROW]
[ROW][C]0.58[/C][C]10.2690809412206[/C][C]0.173560643570341[/C][/ROW]
[ROW][C]0.59[/C][C]10.3011526601001[/C][C]0.177291144680252[/C][/ROW]
[ROW][C]0.6[/C][C]10.3336708378394[/C][C]0.178739481411496[/C][/ROW]
[ROW][C]0.61[/C][C]10.3662303125832[/C][C]0.177555373857634[/C][/ROW]
[ROW][C]0.62[/C][C]10.3983941011460[/C][C]0.173679645030681[/C][/ROW]
[ROW][C]0.63[/C][C]10.4297401952375[/C][C]0.167275630066935[/C][/ROW]
[ROW][C]0.64[/C][C]10.4599081219339[/C][C]0.158852712227334[/C][/ROW]
[ROW][C]0.65[/C][C]10.4886377652765[/C][C]0.149071135397239[/C][/ROW]
[ROW][C]0.66[/C][C]10.5157940675427[/C][C]0.138770284161169[/C][/ROW]
[ROW][C]0.67[/C][C]10.5413736704778[/C][C]0.128765684024638[/C][/ROW]
[ROW][C]0.68[/C][C]10.5654928162169[/C][C]0.119757539793527[/C][/ROW]
[ROW][C]0.69[/C][C]10.5883591938663[/C][C]0.112253221813648[/C][/ROW]
[ROW][C]0.7[/C][C]10.6102331539449[/C][C]0.106488930270368[/C][/ROW]
[ROW][C]0.71[/C][C]10.6313852468479[/C][C]0.102385681706734[/C][/ROW]
[ROW][C]0.72[/C][C]10.6520571072249[/C][C]0.0996186090170524[/C][/ROW]
[ROW][C]0.73[/C][C]10.6724313982008[/C][C]0.0977289105846009[/C][/ROW]
[ROW][C]0.74[/C][C]10.6926142593994[/C][C]0.0961945823111615[/C][/ROW]
[ROW][C]0.75[/C][C]10.7126310780278[/C][C]0.094563860404579[/C][/ROW]
[ROW][C]0.76[/C][C]10.7324340636137[/C][C]0.0924755267988833[/C][/ROW]
[ROW][C]0.77[/C][C]10.7519185669302[/C][C]0.0897065081350084[/C][/ROW]
[ROW][C]0.78[/C][C]10.7709445971714[/C][C]0.0861597439343648[/C][/ROW]
[ROW][C]0.79[/C][C]10.7893604795736[/C][C]0.0818516117047396[/C][/ROW]
[ROW][C]0.8[/C][C]10.8070266385367[/C][C]0.0769036039414663[/C][/ROW]
[ROW][C]0.81[/C][C]10.8238384123770[/C][C]0.0715084879409611[/C][/ROW]
[ROW][C]0.82[/C][C]10.8397468746645[/C][C]0.0659334107550024[/C][/ROW]
[ROW][C]0.83[/C][C]10.8547754007757[/C][C]0.0605016299799096[/C][/ROW]
[ROW][C]0.84[/C][C]10.8690274088077[/C][C]0.0555877829120711[/C][/ROW]
[ROW][C]0.85[/C][C]10.8826785500018[/C][C]0.0515434846218393[/C][/ROW]
[ROW][C]0.86[/C][C]10.8959467669960[/C][C]0.0486413717373119[/C][/ROW]
[ROW][C]0.87[/C][C]10.9090383371707[/C][C]0.0468587757591785[/C][/ROW]
[ROW][C]0.88[/C][C]10.9220780893518[/C][C]0.0457967615228437[/C][/ROW]
[ROW][C]0.89[/C][C]10.9350450586900[/C][C]0.0447005525953471[/C][/ROW]
[ROW][C]0.9[/C][C]10.9477447678261[/C][C]0.0427102667932824[/C][/ROW]
[ROW][C]0.91[/C][C]10.9598480374249[/C][C]0.0392130912804225[/C][/ROW]
[ROW][C]0.92[/C][C]10.9710081063585[/C][C]0.0341389182375804[/C][/ROW]
[ROW][C]0.93[/C][C]10.9810337822487[/C][C]0.0281245547625893[/C][/ROW]
[ROW][C]0.94[/C][C]10.9900543049872[/C][C]0.0224204905204143[/C][/ROW]
[ROW][C]0.95[/C][C]10.9985747994577[/C][C]0.0185946538299589[/C][/ROW]
[ROW][C]0.96[/C][C]11.0073112436426[/C][C]0.0176276454244170[/C][/ROW]
[ROW][C]0.97[/C][C]11.0167484766970[/C][C]0.0182635813775875[/C][/ROW]
[ROW][C]0.98[/C][C]11.0265271701156[/C][C]0.0174350521382613[/C][/ROW]
[ROW][C]0.99[/C][C]11.0350466766407[/C][C]0.0135885053199889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10593&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
0.019.263076734422360.00873511165554283
0.029.268007193708740.00928294599950668
0.039.273923652967260.0123090801391391
0.049.280638816114160.0162178287599390
0.059.288210197067280.0200495949488452
0.069.296629071376410.0236388170284152
0.079.305820682556320.0271262200308715
0.089.315737750006650.030773082484882
0.099.326421960423070.0350409186171105
0.19.338015548008160.0403746502950924
0.119.350731096079830.0469973415387902
0.129.364789500238350.0546758175997686
0.139.380343503536940.0628252282600602
0.149.397411094170530.0706177454948511
0.159.415840039759740.0772544899336498
0.169.435312853063690.0820584492482315
0.179.455387635869830.0846243944154637
0.189.475560820963460.0848535656218001
0.199.495335136069130.0829158273176872
0.29.514278945086740.0792248500211902
0.219.532068692505760.0742827557259447
0.229.54851184384000.0687074576460989
0.239.563551872993070.0631109273960418
0.249.57725903463340.0580301517638547
0.259.589811210735650.0539743374781306
0.269.601468704638150.0513621889706108
0.279.612546111071160.0504716869680127
0.289.623383728922920.0513876580657362
0.299.634320552167820.0540424610211407
0.39.645670615334360.0582146240778623
0.319.657704223784050.0635626725029413
0.329.670635210490970.0697374857850312
0.339.684614756485010.0763712032887525
0.349.699731534420250.0831841553019275
0.359.716017129176930.0899039069399033
0.369.733455051050430.0963371268147077
0.379.75199135910540.102355532112107
0.389.77154504168550.107868778652930
0.399.79201682461890.112849917681175
0.49.81329584946460.117203526429115
0.419.835264470963990.120923880507590
0.429.857802049463050.123983291744813
0.439.880788905034370.126352209972625
0.449.90411149771290.128065820277365
0.459.927669447426580.129178863355536
0.469.951384330129870.129819379039916
0.479.975209442560250.130181334884059
0.489.9991390736990.130538831781449
0.4910.0232153848120.13119304356896
0.510.04753087260510.132474599328020
0.5110.07222462608190.134692828442877
0.5210.09747120701780.138053053214972
0.5310.12346196475580.142634922252535
0.5410.15037985806080.148321554206595
0.5510.17837024327770.154834488186309
0.5610.20751136132900.161647261827094
0.5710.2377891212610.16812142047186
0.5810.26908094122060.173560643570341
0.5910.30115266010010.177291144680252
0.610.33367083783940.178739481411496
0.6110.36623031258320.177555373857634
0.6210.39839410114600.173679645030681
0.6310.42974019523750.167275630066935
0.6410.45990812193390.158852712227334
0.6510.48863776527650.149071135397239
0.6610.51579406754270.138770284161169
0.6710.54137367047780.128765684024638
0.6810.56549281621690.119757539793527
0.6910.58835919386630.112253221813648
0.710.61023315394490.106488930270368
0.7110.63138524684790.102385681706734
0.7210.65205710722490.0996186090170524
0.7310.67243139820080.0977289105846009
0.7410.69261425939940.0961945823111615
0.7510.71263107802780.094563860404579
0.7610.73243406361370.0924755267988833
0.7710.75191856693020.0897065081350084
0.7810.77094459717140.0861597439343648
0.7910.78936047957360.0818516117047396
0.810.80702663853670.0769036039414663
0.8110.82383841237700.0715084879409611
0.8210.83974687466450.0659334107550024
0.8310.85477540077570.0605016299799096
0.8410.86902740880770.0555877829120711
0.8510.88267855000180.0515434846218393
0.8610.89594676699600.0486413717373119
0.8710.90903833717070.0468587757591785
0.8810.92207808935180.0457967615228437
0.8910.93504505869000.0447005525953471
0.910.94774476782610.0427102667932824
0.9110.95984803742490.0392130912804225
0.9210.97100810635850.0341389182375804
0.9310.98103378224870.0281245547625893
0.9410.99005430498720.0224204905204143
0.9510.99857479945770.0185946538299589
0.9611.00731124364260.0176276454244170
0.9711.01674847669700.0182635813775875
0.9811.02652717011560.0174350521382613
0.9911.03504667664070.0135885053199889


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')