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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 computationMon, 28 Dec 2009 06:49:16 -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/2009/Dec/28/t1262008210m49yozdhb3dbad1.htm/, Retrieved Sat, 04 May 2024 20:21:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70965, Retrieved Sat, 04 May 2024 20:21:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RMPD  [Univariate Explorative Data Analysis] [] [2009-11-02 10:43:25] [8b1aef4e7013bd33fbc2a5833375c5f5]
- R  D    [Univariate Explorative Data Analysis] [Run_sequence_et] [2009-12-28 13:10:54] [2663058f2a5dda519058ac6b2228468f]
- RMPD      [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:18:38] [2663058f2a5dda519058ac6b2228468f]
-   PD          [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:49:16] [5b5bced41faf164488f2c271c918b21f] [Current]
-   PD            [Harrell-Davis Quantiles] [Harrell-Davis_et] [2009-12-29 09:57:52] [2663058f2a5dda519058ac6b2228468f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-564,5024598
-563,2868321
-562,6092123
-561,7289219
-561,1287748
-560,5596749
-559,6534424
-559,3645562
-559,116752
-558,4967141
-558,503492
-558,5209538
-557,0677242
-555,4223769
-555,097832
-553,4948419
-552,6864705
-551,9045613
-551,1060444
-550,6091745
-550,3793745
-550,1054427
-549,8546061
-548,844823
-548,5840858
-548,617565
-548,2909357
-548,0708184
-548,0966998
-547,8101955
-547,5950275
-547,5658663
-547,3702787
-547,351529
-547,0982745
-547,1077645
-546,8794054
-546,6257451
-546,3368134
-545,3938705
-544,2206706
-543,9774587
-543,7544865
-543,5103391
-543,3197988
-543,0791292
-543,0649124
-542,8425928
-542,6238584
-542,4033326
-542,1077162
-541,937633
-541,6831711
-541,6820682
-541,4839707
-541,4566051
-540,3987325
-540,1404426
-536,6900434
-535,8951806

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70965&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70965&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-564.2004210853071.10500193190472
0.02-563.7374325305161.02486579161091
0.03-563.2241481958151.00774159974944
0.04-562.7245849143681.03846311270583
0.05-562.2578849982941.08125533537775
0.06-561.8227864857221.11558546012689
0.07-561.4141905400881.13569380609355
0.08-561.0286492410521.14191056664947
0.09-560.6643286454771.13739024398517
0.1-560.3196531618461.12719353670658
0.11-559.9921940512291.12070364986424
0.12-559.6780641603221.12777398269317
0.13-559.3717709179521.16080097801931
0.14-559.0664714157641.22820033878971
0.15-558.7545630368081.33425839585869
0.16-558.4284968148181.47578535447650
0.17-558.0816596935961.64527821068869
0.18-557.7091643638291.83020439244576
0.19-557.3084140388382.01724348744435
0.2-556.8793625365452.1921466942332
0.21-556.4244516436052.34487116580198
0.22-555.9482638868712.4650535196125
0.23-555.4569694373682.54663544797902
0.24-554.9576658253762.58768048576072
0.25-554.4577085324622.58874814933191
0.26-553.9641137535822.55401930692733
0.27-553.4830885835892.48696198237163
0.28-553.0197157156652.39640397401498
0.29-552.57779497062.28752995489256
0.3-552.1598256123592.16728417432028
0.31-551.767102057072.04305785912568
0.32-551.3998902756131.91856533363333
0.33-551.0576513586761.79785155656033
0.34-550.7392809475841.68340728256477
0.35-550.4433375910471.57719720545287
0.36-550.1682390163331.47808242298709
0.37-549.912412373051.38675298720206
0.38-549.6743921562831.30066875503208
0.39-549.4528669512021.21929935429204
0.4-549.246682435261.14297482038129
0.41-549.05481238231.06894851632018
0.42-548.8763112167140.998534501473218
0.43-548.7102609323570.931513866108992
0.44-548.5557223925070.869122007678393
0.45-548.4116970190980.811325431245029
0.46-548.2771006811830.759653761015936
0.47-548.150748144880.714712895702892
0.48-548.0313444134220.6774105460497
0.49-547.9174789424360.647783287411186
0.5-547.8076199426790.62662022698176
0.51-547.7001083387590.616681672202613
0.52-547.5931537965630.616553166313964
0.53-547.484837856040.629108714516672
0.54-547.3731309511960.652865906272181
0.55-547.2559304482440.691171828195302
0.56-547.131125476570.741689761948878
0.57-546.9966912162040.804514796559387
0.58-546.8508106890040.87851713600074
0.59-546.6920165441630.95917581659807
0.6-546.5193396905481.04442735110044
0.61-546.3324469748421.12883083830121
0.62-546.1317475475221.20805273759769
0.63-545.9184480296591.27726764459079
0.64-545.6945405913511.33130139191475
0.65-545.4627154332991.36585365229232
0.66-545.2261990458361.37879043273761
0.67-544.9885304659571.36948482387989
0.68-544.7532976333551.33745419585969
0.69-544.5238629503511.28614650359905
0.7-544.3031098370121.21763577574285
0.71-544.0932398351731.13762156586715
0.72-543.8956430445451.05179250712921
0.73-543.7108546598340.964845061205305
0.74-543.5385989693660.881662475641177
0.75-543.3779113060820.80651929256931
0.76-543.2273196592690.742113460010569
0.77-543.0850618045790.68919271303594
0.78-542.9493109482860.647980348225264
0.79-542.8183824380960.616414149109286
0.8-542.6908952022010.592842000788287
0.81-542.565863492210.573669093536281
0.82-542.4426969706810.555862194897109
0.83-542.3210906757870.537427833209583
0.84-542.2007920280970.517713269353927
0.85-542.0812408446030.496755133747626
0.86-541.9610895517020.477765515666652
0.87-541.8376196078440.464873064449816
0.88-541.7060670326390.466525127962186
0.89-541.5588477204060.491950455611515
0.9-541.3846496623470.550515693987663
0.91-541.1674145198340.651606793544073
0.92-540.8855282985470.804787570416676
0.93-540.5122474236811.02119476110319
0.94-540.0194022063191.30524363260563
0.95-539.386971990761.63037281474740
0.96-538.6196662551471.90894795900365
0.97-537.7667396646521.9905652571718
0.98-536.933510107891.74062307885313
0.99-536.2664274546741.21448501101883

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -564.200421085307 & 1.10500193190472 \tabularnewline
0.02 & -563.737432530516 & 1.02486579161091 \tabularnewline
0.03 & -563.224148195815 & 1.00774159974944 \tabularnewline
0.04 & -562.724584914368 & 1.03846311270583 \tabularnewline
0.05 & -562.257884998294 & 1.08125533537775 \tabularnewline
0.06 & -561.822786485722 & 1.11558546012689 \tabularnewline
0.07 & -561.414190540088 & 1.13569380609355 \tabularnewline
0.08 & -561.028649241052 & 1.14191056664947 \tabularnewline
0.09 & -560.664328645477 & 1.13739024398517 \tabularnewline
0.1 & -560.319653161846 & 1.12719353670658 \tabularnewline
0.11 & -559.992194051229 & 1.12070364986424 \tabularnewline
0.12 & -559.678064160322 & 1.12777398269317 \tabularnewline
0.13 & -559.371770917952 & 1.16080097801931 \tabularnewline
0.14 & -559.066471415764 & 1.22820033878971 \tabularnewline
0.15 & -558.754563036808 & 1.33425839585869 \tabularnewline
0.16 & -558.428496814818 & 1.47578535447650 \tabularnewline
0.17 & -558.081659693596 & 1.64527821068869 \tabularnewline
0.18 & -557.709164363829 & 1.83020439244576 \tabularnewline
0.19 & -557.308414038838 & 2.01724348744435 \tabularnewline
0.2 & -556.879362536545 & 2.1921466942332 \tabularnewline
0.21 & -556.424451643605 & 2.34487116580198 \tabularnewline
0.22 & -555.948263886871 & 2.4650535196125 \tabularnewline
0.23 & -555.456969437368 & 2.54663544797902 \tabularnewline
0.24 & -554.957665825376 & 2.58768048576072 \tabularnewline
0.25 & -554.457708532462 & 2.58874814933191 \tabularnewline
0.26 & -553.964113753582 & 2.55401930692733 \tabularnewline
0.27 & -553.483088583589 & 2.48696198237163 \tabularnewline
0.28 & -553.019715715665 & 2.39640397401498 \tabularnewline
0.29 & -552.5777949706 & 2.28752995489256 \tabularnewline
0.3 & -552.159825612359 & 2.16728417432028 \tabularnewline
0.31 & -551.76710205707 & 2.04305785912568 \tabularnewline
0.32 & -551.399890275613 & 1.91856533363333 \tabularnewline
0.33 & -551.057651358676 & 1.79785155656033 \tabularnewline
0.34 & -550.739280947584 & 1.68340728256477 \tabularnewline
0.35 & -550.443337591047 & 1.57719720545287 \tabularnewline
0.36 & -550.168239016333 & 1.47808242298709 \tabularnewline
0.37 & -549.91241237305 & 1.38675298720206 \tabularnewline
0.38 & -549.674392156283 & 1.30066875503208 \tabularnewline
0.39 & -549.452866951202 & 1.21929935429204 \tabularnewline
0.4 & -549.24668243526 & 1.14297482038129 \tabularnewline
0.41 & -549.0548123823 & 1.06894851632018 \tabularnewline
0.42 & -548.876311216714 & 0.998534501473218 \tabularnewline
0.43 & -548.710260932357 & 0.931513866108992 \tabularnewline
0.44 & -548.555722392507 & 0.869122007678393 \tabularnewline
0.45 & -548.411697019098 & 0.811325431245029 \tabularnewline
0.46 & -548.277100681183 & 0.759653761015936 \tabularnewline
0.47 & -548.15074814488 & 0.714712895702892 \tabularnewline
0.48 & -548.031344413422 & 0.6774105460497 \tabularnewline
0.49 & -547.917478942436 & 0.647783287411186 \tabularnewline
0.5 & -547.807619942679 & 0.62662022698176 \tabularnewline
0.51 & -547.700108338759 & 0.616681672202613 \tabularnewline
0.52 & -547.593153796563 & 0.616553166313964 \tabularnewline
0.53 & -547.48483785604 & 0.629108714516672 \tabularnewline
0.54 & -547.373130951196 & 0.652865906272181 \tabularnewline
0.55 & -547.255930448244 & 0.691171828195302 \tabularnewline
0.56 & -547.13112547657 & 0.741689761948878 \tabularnewline
0.57 & -546.996691216204 & 0.804514796559387 \tabularnewline
0.58 & -546.850810689004 & 0.87851713600074 \tabularnewline
0.59 & -546.692016544163 & 0.95917581659807 \tabularnewline
0.6 & -546.519339690548 & 1.04442735110044 \tabularnewline
0.61 & -546.332446974842 & 1.12883083830121 \tabularnewline
0.62 & -546.131747547522 & 1.20805273759769 \tabularnewline
0.63 & -545.918448029659 & 1.27726764459079 \tabularnewline
0.64 & -545.694540591351 & 1.33130139191475 \tabularnewline
0.65 & -545.462715433299 & 1.36585365229232 \tabularnewline
0.66 & -545.226199045836 & 1.37879043273761 \tabularnewline
0.67 & -544.988530465957 & 1.36948482387989 \tabularnewline
0.68 & -544.753297633355 & 1.33745419585969 \tabularnewline
0.69 & -544.523862950351 & 1.28614650359905 \tabularnewline
0.7 & -544.303109837012 & 1.21763577574285 \tabularnewline
0.71 & -544.093239835173 & 1.13762156586715 \tabularnewline
0.72 & -543.895643044545 & 1.05179250712921 \tabularnewline
0.73 & -543.710854659834 & 0.964845061205305 \tabularnewline
0.74 & -543.538598969366 & 0.881662475641177 \tabularnewline
0.75 & -543.377911306082 & 0.80651929256931 \tabularnewline
0.76 & -543.227319659269 & 0.742113460010569 \tabularnewline
0.77 & -543.085061804579 & 0.68919271303594 \tabularnewline
0.78 & -542.949310948286 & 0.647980348225264 \tabularnewline
0.79 & -542.818382438096 & 0.616414149109286 \tabularnewline
0.8 & -542.690895202201 & 0.592842000788287 \tabularnewline
0.81 & -542.56586349221 & 0.573669093536281 \tabularnewline
0.82 & -542.442696970681 & 0.555862194897109 \tabularnewline
0.83 & -542.321090675787 & 0.537427833209583 \tabularnewline
0.84 & -542.200792028097 & 0.517713269353927 \tabularnewline
0.85 & -542.081240844603 & 0.496755133747626 \tabularnewline
0.86 & -541.961089551702 & 0.477765515666652 \tabularnewline
0.87 & -541.837619607844 & 0.464873064449816 \tabularnewline
0.88 & -541.706067032639 & 0.466525127962186 \tabularnewline
0.89 & -541.558847720406 & 0.491950455611515 \tabularnewline
0.9 & -541.384649662347 & 0.550515693987663 \tabularnewline
0.91 & -541.167414519834 & 0.651606793544073 \tabularnewline
0.92 & -540.885528298547 & 0.804787570416676 \tabularnewline
0.93 & -540.512247423681 & 1.02119476110319 \tabularnewline
0.94 & -540.019402206319 & 1.30524363260563 \tabularnewline
0.95 & -539.38697199076 & 1.63037281474740 \tabularnewline
0.96 & -538.619666255147 & 1.90894795900365 \tabularnewline
0.97 & -537.766739664652 & 1.9905652571718 \tabularnewline
0.98 & -536.93351010789 & 1.74062307885313 \tabularnewline
0.99 & -536.266427454674 & 1.21448501101883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70965&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]-564.200421085307[/C][C]1.10500193190472[/C][/ROW]
[ROW][C]0.02[/C][C]-563.737432530516[/C][C]1.02486579161091[/C][/ROW]
[ROW][C]0.03[/C][C]-563.224148195815[/C][C]1.00774159974944[/C][/ROW]
[ROW][C]0.04[/C][C]-562.724584914368[/C][C]1.03846311270583[/C][/ROW]
[ROW][C]0.05[/C][C]-562.257884998294[/C][C]1.08125533537775[/C][/ROW]
[ROW][C]0.06[/C][C]-561.822786485722[/C][C]1.11558546012689[/C][/ROW]
[ROW][C]0.07[/C][C]-561.414190540088[/C][C]1.13569380609355[/C][/ROW]
[ROW][C]0.08[/C][C]-561.028649241052[/C][C]1.14191056664947[/C][/ROW]
[ROW][C]0.09[/C][C]-560.664328645477[/C][C]1.13739024398517[/C][/ROW]
[ROW][C]0.1[/C][C]-560.319653161846[/C][C]1.12719353670658[/C][/ROW]
[ROW][C]0.11[/C][C]-559.992194051229[/C][C]1.12070364986424[/C][/ROW]
[ROW][C]0.12[/C][C]-559.678064160322[/C][C]1.12777398269317[/C][/ROW]
[ROW][C]0.13[/C][C]-559.371770917952[/C][C]1.16080097801931[/C][/ROW]
[ROW][C]0.14[/C][C]-559.066471415764[/C][C]1.22820033878971[/C][/ROW]
[ROW][C]0.15[/C][C]-558.754563036808[/C][C]1.33425839585869[/C][/ROW]
[ROW][C]0.16[/C][C]-558.428496814818[/C][C]1.47578535447650[/C][/ROW]
[ROW][C]0.17[/C][C]-558.081659693596[/C][C]1.64527821068869[/C][/ROW]
[ROW][C]0.18[/C][C]-557.709164363829[/C][C]1.83020439244576[/C][/ROW]
[ROW][C]0.19[/C][C]-557.308414038838[/C][C]2.01724348744435[/C][/ROW]
[ROW][C]0.2[/C][C]-556.879362536545[/C][C]2.1921466942332[/C][/ROW]
[ROW][C]0.21[/C][C]-556.424451643605[/C][C]2.34487116580198[/C][/ROW]
[ROW][C]0.22[/C][C]-555.948263886871[/C][C]2.4650535196125[/C][/ROW]
[ROW][C]0.23[/C][C]-555.456969437368[/C][C]2.54663544797902[/C][/ROW]
[ROW][C]0.24[/C][C]-554.957665825376[/C][C]2.58768048576072[/C][/ROW]
[ROW][C]0.25[/C][C]-554.457708532462[/C][C]2.58874814933191[/C][/ROW]
[ROW][C]0.26[/C][C]-553.964113753582[/C][C]2.55401930692733[/C][/ROW]
[ROW][C]0.27[/C][C]-553.483088583589[/C][C]2.48696198237163[/C][/ROW]
[ROW][C]0.28[/C][C]-553.019715715665[/C][C]2.39640397401498[/C][/ROW]
[ROW][C]0.29[/C][C]-552.5777949706[/C][C]2.28752995489256[/C][/ROW]
[ROW][C]0.3[/C][C]-552.159825612359[/C][C]2.16728417432028[/C][/ROW]
[ROW][C]0.31[/C][C]-551.76710205707[/C][C]2.04305785912568[/C][/ROW]
[ROW][C]0.32[/C][C]-551.399890275613[/C][C]1.91856533363333[/C][/ROW]
[ROW][C]0.33[/C][C]-551.057651358676[/C][C]1.79785155656033[/C][/ROW]
[ROW][C]0.34[/C][C]-550.739280947584[/C][C]1.68340728256477[/C][/ROW]
[ROW][C]0.35[/C][C]-550.443337591047[/C][C]1.57719720545287[/C][/ROW]
[ROW][C]0.36[/C][C]-550.168239016333[/C][C]1.47808242298709[/C][/ROW]
[ROW][C]0.37[/C][C]-549.91241237305[/C][C]1.38675298720206[/C][/ROW]
[ROW][C]0.38[/C][C]-549.674392156283[/C][C]1.30066875503208[/C][/ROW]
[ROW][C]0.39[/C][C]-549.452866951202[/C][C]1.21929935429204[/C][/ROW]
[ROW][C]0.4[/C][C]-549.24668243526[/C][C]1.14297482038129[/C][/ROW]
[ROW][C]0.41[/C][C]-549.0548123823[/C][C]1.06894851632018[/C][/ROW]
[ROW][C]0.42[/C][C]-548.876311216714[/C][C]0.998534501473218[/C][/ROW]
[ROW][C]0.43[/C][C]-548.710260932357[/C][C]0.931513866108992[/C][/ROW]
[ROW][C]0.44[/C][C]-548.555722392507[/C][C]0.869122007678393[/C][/ROW]
[ROW][C]0.45[/C][C]-548.411697019098[/C][C]0.811325431245029[/C][/ROW]
[ROW][C]0.46[/C][C]-548.277100681183[/C][C]0.759653761015936[/C][/ROW]
[ROW][C]0.47[/C][C]-548.15074814488[/C][C]0.714712895702892[/C][/ROW]
[ROW][C]0.48[/C][C]-548.031344413422[/C][C]0.6774105460497[/C][/ROW]
[ROW][C]0.49[/C][C]-547.917478942436[/C][C]0.647783287411186[/C][/ROW]
[ROW][C]0.5[/C][C]-547.807619942679[/C][C]0.62662022698176[/C][/ROW]
[ROW][C]0.51[/C][C]-547.700108338759[/C][C]0.616681672202613[/C][/ROW]
[ROW][C]0.52[/C][C]-547.593153796563[/C][C]0.616553166313964[/C][/ROW]
[ROW][C]0.53[/C][C]-547.48483785604[/C][C]0.629108714516672[/C][/ROW]
[ROW][C]0.54[/C][C]-547.373130951196[/C][C]0.652865906272181[/C][/ROW]
[ROW][C]0.55[/C][C]-547.255930448244[/C][C]0.691171828195302[/C][/ROW]
[ROW][C]0.56[/C][C]-547.13112547657[/C][C]0.741689761948878[/C][/ROW]
[ROW][C]0.57[/C][C]-546.996691216204[/C][C]0.804514796559387[/C][/ROW]
[ROW][C]0.58[/C][C]-546.850810689004[/C][C]0.87851713600074[/C][/ROW]
[ROW][C]0.59[/C][C]-546.692016544163[/C][C]0.95917581659807[/C][/ROW]
[ROW][C]0.6[/C][C]-546.519339690548[/C][C]1.04442735110044[/C][/ROW]
[ROW][C]0.61[/C][C]-546.332446974842[/C][C]1.12883083830121[/C][/ROW]
[ROW][C]0.62[/C][C]-546.131747547522[/C][C]1.20805273759769[/C][/ROW]
[ROW][C]0.63[/C][C]-545.918448029659[/C][C]1.27726764459079[/C][/ROW]
[ROW][C]0.64[/C][C]-545.694540591351[/C][C]1.33130139191475[/C][/ROW]
[ROW][C]0.65[/C][C]-545.462715433299[/C][C]1.36585365229232[/C][/ROW]
[ROW][C]0.66[/C][C]-545.226199045836[/C][C]1.37879043273761[/C][/ROW]
[ROW][C]0.67[/C][C]-544.988530465957[/C][C]1.36948482387989[/C][/ROW]
[ROW][C]0.68[/C][C]-544.753297633355[/C][C]1.33745419585969[/C][/ROW]
[ROW][C]0.69[/C][C]-544.523862950351[/C][C]1.28614650359905[/C][/ROW]
[ROW][C]0.7[/C][C]-544.303109837012[/C][C]1.21763577574285[/C][/ROW]
[ROW][C]0.71[/C][C]-544.093239835173[/C][C]1.13762156586715[/C][/ROW]
[ROW][C]0.72[/C][C]-543.895643044545[/C][C]1.05179250712921[/C][/ROW]
[ROW][C]0.73[/C][C]-543.710854659834[/C][C]0.964845061205305[/C][/ROW]
[ROW][C]0.74[/C][C]-543.538598969366[/C][C]0.881662475641177[/C][/ROW]
[ROW][C]0.75[/C][C]-543.377911306082[/C][C]0.80651929256931[/C][/ROW]
[ROW][C]0.76[/C][C]-543.227319659269[/C][C]0.742113460010569[/C][/ROW]
[ROW][C]0.77[/C][C]-543.085061804579[/C][C]0.68919271303594[/C][/ROW]
[ROW][C]0.78[/C][C]-542.949310948286[/C][C]0.647980348225264[/C][/ROW]
[ROW][C]0.79[/C][C]-542.818382438096[/C][C]0.616414149109286[/C][/ROW]
[ROW][C]0.8[/C][C]-542.690895202201[/C][C]0.592842000788287[/C][/ROW]
[ROW][C]0.81[/C][C]-542.56586349221[/C][C]0.573669093536281[/C][/ROW]
[ROW][C]0.82[/C][C]-542.442696970681[/C][C]0.555862194897109[/C][/ROW]
[ROW][C]0.83[/C][C]-542.321090675787[/C][C]0.537427833209583[/C][/ROW]
[ROW][C]0.84[/C][C]-542.200792028097[/C][C]0.517713269353927[/C][/ROW]
[ROW][C]0.85[/C][C]-542.081240844603[/C][C]0.496755133747626[/C][/ROW]
[ROW][C]0.86[/C][C]-541.961089551702[/C][C]0.477765515666652[/C][/ROW]
[ROW][C]0.87[/C][C]-541.837619607844[/C][C]0.464873064449816[/C][/ROW]
[ROW][C]0.88[/C][C]-541.706067032639[/C][C]0.466525127962186[/C][/ROW]
[ROW][C]0.89[/C][C]-541.558847720406[/C][C]0.491950455611515[/C][/ROW]
[ROW][C]0.9[/C][C]-541.384649662347[/C][C]0.550515693987663[/C][/ROW]
[ROW][C]0.91[/C][C]-541.167414519834[/C][C]0.651606793544073[/C][/ROW]
[ROW][C]0.92[/C][C]-540.885528298547[/C][C]0.804787570416676[/C][/ROW]
[ROW][C]0.93[/C][C]-540.512247423681[/C][C]1.02119476110319[/C][/ROW]
[ROW][C]0.94[/C][C]-540.019402206319[/C][C]1.30524363260563[/C][/ROW]
[ROW][C]0.95[/C][C]-539.38697199076[/C][C]1.63037281474740[/C][/ROW]
[ROW][C]0.96[/C][C]-538.619666255147[/C][C]1.90894795900365[/C][/ROW]
[ROW][C]0.97[/C][C]-537.766739664652[/C][C]1.9905652571718[/C][/ROW]
[ROW][C]0.98[/C][C]-536.93351010789[/C][C]1.74062307885313[/C][/ROW]
[ROW][C]0.99[/C][C]-536.266427454674[/C][C]1.21448501101883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70965&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
0.01-564.2004210853071.10500193190472
0.02-563.7374325305161.02486579161091
0.03-563.2241481958151.00774159974944
0.04-562.7245849143681.03846311270583
0.05-562.2578849982941.08125533537775
0.06-561.8227864857221.11558546012689
0.07-561.4141905400881.13569380609355
0.08-561.0286492410521.14191056664947
0.09-560.6643286454771.13739024398517
0.1-560.3196531618461.12719353670658
0.11-559.9921940512291.12070364986424
0.12-559.6780641603221.12777398269317
0.13-559.3717709179521.16080097801931
0.14-559.0664714157641.22820033878971
0.15-558.7545630368081.33425839585869
0.16-558.4284968148181.47578535447650
0.17-558.0816596935961.64527821068869
0.18-557.7091643638291.83020439244576
0.19-557.3084140388382.01724348744435
0.2-556.8793625365452.1921466942332
0.21-556.4244516436052.34487116580198
0.22-555.9482638868712.4650535196125
0.23-555.4569694373682.54663544797902
0.24-554.9576658253762.58768048576072
0.25-554.4577085324622.58874814933191
0.26-553.9641137535822.55401930692733
0.27-553.4830885835892.48696198237163
0.28-553.0197157156652.39640397401498
0.29-552.57779497062.28752995489256
0.3-552.1598256123592.16728417432028
0.31-551.767102057072.04305785912568
0.32-551.3998902756131.91856533363333
0.33-551.0576513586761.79785155656033
0.34-550.7392809475841.68340728256477
0.35-550.4433375910471.57719720545287
0.36-550.1682390163331.47808242298709
0.37-549.912412373051.38675298720206
0.38-549.6743921562831.30066875503208
0.39-549.4528669512021.21929935429204
0.4-549.246682435261.14297482038129
0.41-549.05481238231.06894851632018
0.42-548.8763112167140.998534501473218
0.43-548.7102609323570.931513866108992
0.44-548.5557223925070.869122007678393
0.45-548.4116970190980.811325431245029
0.46-548.2771006811830.759653761015936
0.47-548.150748144880.714712895702892
0.48-548.0313444134220.6774105460497
0.49-547.9174789424360.647783287411186
0.5-547.8076199426790.62662022698176
0.51-547.7001083387590.616681672202613
0.52-547.5931537965630.616553166313964
0.53-547.484837856040.629108714516672
0.54-547.3731309511960.652865906272181
0.55-547.2559304482440.691171828195302
0.56-547.131125476570.741689761948878
0.57-546.9966912162040.804514796559387
0.58-546.8508106890040.87851713600074
0.59-546.6920165441630.95917581659807
0.6-546.5193396905481.04442735110044
0.61-546.3324469748421.12883083830121
0.62-546.1317475475221.20805273759769
0.63-545.9184480296591.27726764459079
0.64-545.6945405913511.33130139191475
0.65-545.4627154332991.36585365229232
0.66-545.2261990458361.37879043273761
0.67-544.9885304659571.36948482387989
0.68-544.7532976333551.33745419585969
0.69-544.5238629503511.28614650359905
0.7-544.3031098370121.21763577574285
0.71-544.0932398351731.13762156586715
0.72-543.8956430445451.05179250712921
0.73-543.7108546598340.964845061205305
0.74-543.5385989693660.881662475641177
0.75-543.3779113060820.80651929256931
0.76-543.2273196592690.742113460010569
0.77-543.0850618045790.68919271303594
0.78-542.9493109482860.647980348225264
0.79-542.8183824380960.616414149109286
0.8-542.6908952022010.592842000788287
0.81-542.565863492210.573669093536281
0.82-542.4426969706810.555862194897109
0.83-542.3210906757870.537427833209583
0.84-542.2007920280970.517713269353927
0.85-542.0812408446030.496755133747626
0.86-541.9610895517020.477765515666652
0.87-541.8376196078440.464873064449816
0.88-541.7060670326390.466525127962186
0.89-541.5588477204060.491950455611515
0.9-541.3846496623470.550515693987663
0.91-541.1674145198340.651606793544073
0.92-540.8855282985470.804787570416676
0.93-540.5122474236811.02119476110319
0.94-540.0194022063191.30524363260563
0.95-539.386971990761.63037281474740
0.96-538.6196662551471.90894795900365
0.97-537.7667396646521.9905652571718
0.98-536.933510107891.74062307885313
0.99-536.2664274546741.21448501101883


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
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')