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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, 27 May 2009 15:43:37 -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/May/27/t1243460678ivewigctv8xjw9v.htm/, Retrieved Thu, 02 May 2024 20:00:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40518, Retrieved Thu, 02 May 2024 20:00:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Annelies Reul con...] [2009-05-27 21:27:13] [d7df5c9fd3abb175149ef024e75d4180]
- RMP     [Harrell-Davis Quantiles] [Annelies Reul con...] [2009-05-27 21:43:37] [9202dc9f5562cf74198e3e368d8190ce] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20

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'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40518&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40518&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.01160824243752.72881266581097
0.02-22.52014370254362.55933172069434
0.03-20.97633025491172.52418983141475
0.04-19.57367800337442.52513858459678
0.05-18.33631042819242.49995914478594
0.06-17.24261203045122.43029661133683
0.07-16.27401732660852.31146666100364
0.08-15.42020314598692.14927787161453
0.09-14.67383798981301.96120368812742
0.1-14.02658883471881.76968437964414
0.11-13.46805614785871.59216086602436
0.12-12.98670443750281.43501299801778
0.13-12.57140998495761.29491698856541
0.14-12.21251569919231.16525930255816
0.15-11.90193564610471.04267631248002
0.16-11.63251153858480.929960563496232
0.17-11.39717235182730.835114541650699
0.18-11.18841536574260.767811784910599
0.19-10.99835200212590.734755793873225
0.2-10.81924902589700.73580351818203
0.21-10.64429359510530.763547743182071
0.22-10.46826836151990.806686471079032
0.23-10.28790840591820.854121891178609
0.24-10.10185651952430.897425123810383
0.25-9.910271401924440.931806632765716
0.26-9.714233337852090.956159507784277
0.27-9.51512070196790.972362805758362
0.28-9.314106614682780.984151574961335
0.29-9.111868076865630.995722240475813
0.3-8.908532273150341.01036782766949
0.31-8.703825121241351.02948426045813
0.32-8.497347389241481.05222909928796
0.33-8.288888107971311.07579249149091
0.34-8.078691496608021.09613990319180
0.35-7.867615985975851.10890877280932
0.36-7.657154340571371.11027774684975
0.37-7.44931502272441.09763743068238
0.38-7.24639126388071.07005716180823
0.39-7.050662447095711.02844485393595
0.4-6.864080971925780.975498462472556
0.41-6.6879968916180.915395790845569
0.42-6.522963505676660.853310634181569
0.43-6.368651817142910.79481700507369
0.44-6.223883036458450.745216619044868
0.45-6.086769260057190.708805684944221
0.46-5.954936217396790.688213606835596
0.47-5.825791196060150.683931300775089
0.48-5.696795501144340.694388498606423
0.49-5.565704253964230.716455925155794
0.5-5.430745713619140.746239642606991
0.51-5.290725224976340.779776409260482
0.52-5.145052463822010.813509630644443
0.53-4.993702179337340.844542757239626
0.54-4.837126264958170.870728850426863
0.55-4.676138031275730.890675657152281
0.56-4.511788489073870.903670882271665
0.57-4.345250605434690.90954034034867
0.58-4.177722524129210.908550009962435
0.59-4.010356064616280.90124502401617
0.6-3.844213206200920.888341028991411
0.61-3.680250706394910.870572920411872
0.62-3.51933085298690.848601532330043
0.63-3.362253771662250.822897077630795
0.64-3.209803211058050.79363492815547
0.65-3.062793580996840.760683142431975
0.66-2.922102392304610.723638490205163
0.67-2.788670897113100.682014826892138
0.68-2.663458362803840.635510820402031
0.69-2.547342913961230.584332454773884
0.7-2.440973730183480.529487510314067
0.71-2.344593560049300.472952936187033
0.72-2.257863849528140.417710638414769
0.73-2.179733755528920.367610824186818
0.74-2.108395781318130.327113745848997
0.75-2.041362516929410.300738110686696
0.76-1.975680010878650.291856452178027
0.77-1.908264226298820.300944232532907
0.78-1.836310715524560.324740569228386
0.79-1.757690340706970.357255584579271
0.8-1.671216118595190.391607259158004
0.81-1.57666242545810.421646205589
0.82-1.474452900507960.443416711329864
0.83-1.365016797884010.456594716260282
0.84-1.247940084831800.465609180699951
0.85-1.121178676264650.479706989840173
0.86-0.98070052502210.510577167443705
0.87-0.8209041812922130.566575046802346
0.88-0.6359547426309620.646292714201165
0.89-0.4217762453208530.73663799218425
0.9-0.1779656342650870.816621467439552
0.910.09136180582830180.864778820691665
0.920.378450291533120.86820002629419
0.930.6740746507244340.82943781578846
0.940.9692313408465130.764755757836202
0.951.254285165550470.6883048066624
0.961.515615573582580.591806647872853
0.971.733737677698380.45091350497512
0.981.888621660950420.266569558386619
0.991.972544360909000.0929458362138855

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.0116082424375 & 2.72881266581097 \tabularnewline
0.02 & -22.5201437025436 & 2.55933172069434 \tabularnewline
0.03 & -20.9763302549117 & 2.52418983141475 \tabularnewline
0.04 & -19.5736780033744 & 2.52513858459678 \tabularnewline
0.05 & -18.3363104281924 & 2.49995914478594 \tabularnewline
0.06 & -17.2426120304512 & 2.43029661133683 \tabularnewline
0.07 & -16.2740173266085 & 2.31146666100364 \tabularnewline
0.08 & -15.4202031459869 & 2.14927787161453 \tabularnewline
0.09 & -14.6738379898130 & 1.96120368812742 \tabularnewline
0.1 & -14.0265888347188 & 1.76968437964414 \tabularnewline
0.11 & -13.4680561478587 & 1.59216086602436 \tabularnewline
0.12 & -12.9867044375028 & 1.43501299801778 \tabularnewline
0.13 & -12.5714099849576 & 1.29491698856541 \tabularnewline
0.14 & -12.2125156991923 & 1.16525930255816 \tabularnewline
0.15 & -11.9019356461047 & 1.04267631248002 \tabularnewline
0.16 & -11.6325115385848 & 0.929960563496232 \tabularnewline
0.17 & -11.3971723518273 & 0.835114541650699 \tabularnewline
0.18 & -11.1884153657426 & 0.767811784910599 \tabularnewline
0.19 & -10.9983520021259 & 0.734755793873225 \tabularnewline
0.2 & -10.8192490258970 & 0.73580351818203 \tabularnewline
0.21 & -10.6442935951053 & 0.763547743182071 \tabularnewline
0.22 & -10.4682683615199 & 0.806686471079032 \tabularnewline
0.23 & -10.2879084059182 & 0.854121891178609 \tabularnewline
0.24 & -10.1018565195243 & 0.897425123810383 \tabularnewline
0.25 & -9.91027140192444 & 0.931806632765716 \tabularnewline
0.26 & -9.71423333785209 & 0.956159507784277 \tabularnewline
0.27 & -9.5151207019679 & 0.972362805758362 \tabularnewline
0.28 & -9.31410661468278 & 0.984151574961335 \tabularnewline
0.29 & -9.11186807686563 & 0.995722240475813 \tabularnewline
0.3 & -8.90853227315034 & 1.01036782766949 \tabularnewline
0.31 & -8.70382512124135 & 1.02948426045813 \tabularnewline
0.32 & -8.49734738924148 & 1.05222909928796 \tabularnewline
0.33 & -8.28888810797131 & 1.07579249149091 \tabularnewline
0.34 & -8.07869149660802 & 1.09613990319180 \tabularnewline
0.35 & -7.86761598597585 & 1.10890877280932 \tabularnewline
0.36 & -7.65715434057137 & 1.11027774684975 \tabularnewline
0.37 & -7.4493150227244 & 1.09763743068238 \tabularnewline
0.38 & -7.2463912638807 & 1.07005716180823 \tabularnewline
0.39 & -7.05066244709571 & 1.02844485393595 \tabularnewline
0.4 & -6.86408097192578 & 0.975498462472556 \tabularnewline
0.41 & -6.687996891618 & 0.915395790845569 \tabularnewline
0.42 & -6.52296350567666 & 0.853310634181569 \tabularnewline
0.43 & -6.36865181714291 & 0.79481700507369 \tabularnewline
0.44 & -6.22388303645845 & 0.745216619044868 \tabularnewline
0.45 & -6.08676926005719 & 0.708805684944221 \tabularnewline
0.46 & -5.95493621739679 & 0.688213606835596 \tabularnewline
0.47 & -5.82579119606015 & 0.683931300775089 \tabularnewline
0.48 & -5.69679550114434 & 0.694388498606423 \tabularnewline
0.49 & -5.56570425396423 & 0.716455925155794 \tabularnewline
0.5 & -5.43074571361914 & 0.746239642606991 \tabularnewline
0.51 & -5.29072522497634 & 0.779776409260482 \tabularnewline
0.52 & -5.14505246382201 & 0.813509630644443 \tabularnewline
0.53 & -4.99370217933734 & 0.844542757239626 \tabularnewline
0.54 & -4.83712626495817 & 0.870728850426863 \tabularnewline
0.55 & -4.67613803127573 & 0.890675657152281 \tabularnewline
0.56 & -4.51178848907387 & 0.903670882271665 \tabularnewline
0.57 & -4.34525060543469 & 0.90954034034867 \tabularnewline
0.58 & -4.17772252412921 & 0.908550009962435 \tabularnewline
0.59 & -4.01035606461628 & 0.90124502401617 \tabularnewline
0.6 & -3.84421320620092 & 0.888341028991411 \tabularnewline
0.61 & -3.68025070639491 & 0.870572920411872 \tabularnewline
0.62 & -3.5193308529869 & 0.848601532330043 \tabularnewline
0.63 & -3.36225377166225 & 0.822897077630795 \tabularnewline
0.64 & -3.20980321105805 & 0.79363492815547 \tabularnewline
0.65 & -3.06279358099684 & 0.760683142431975 \tabularnewline
0.66 & -2.92210239230461 & 0.723638490205163 \tabularnewline
0.67 & -2.78867089711310 & 0.682014826892138 \tabularnewline
0.68 & -2.66345836280384 & 0.635510820402031 \tabularnewline
0.69 & -2.54734291396123 & 0.584332454773884 \tabularnewline
0.7 & -2.44097373018348 & 0.529487510314067 \tabularnewline
0.71 & -2.34459356004930 & 0.472952936187033 \tabularnewline
0.72 & -2.25786384952814 & 0.417710638414769 \tabularnewline
0.73 & -2.17973375552892 & 0.367610824186818 \tabularnewline
0.74 & -2.10839578131813 & 0.327113745848997 \tabularnewline
0.75 & -2.04136251692941 & 0.300738110686696 \tabularnewline
0.76 & -1.97568001087865 & 0.291856452178027 \tabularnewline
0.77 & -1.90826422629882 & 0.300944232532907 \tabularnewline
0.78 & -1.83631071552456 & 0.324740569228386 \tabularnewline
0.79 & -1.75769034070697 & 0.357255584579271 \tabularnewline
0.8 & -1.67121611859519 & 0.391607259158004 \tabularnewline
0.81 & -1.5766624254581 & 0.421646205589 \tabularnewline
0.82 & -1.47445290050796 & 0.443416711329864 \tabularnewline
0.83 & -1.36501679788401 & 0.456594716260282 \tabularnewline
0.84 & -1.24794008483180 & 0.465609180699951 \tabularnewline
0.85 & -1.12117867626465 & 0.479706989840173 \tabularnewline
0.86 & -0.9807005250221 & 0.510577167443705 \tabularnewline
0.87 & -0.820904181292213 & 0.566575046802346 \tabularnewline
0.88 & -0.635954742630962 & 0.646292714201165 \tabularnewline
0.89 & -0.421776245320853 & 0.73663799218425 \tabularnewline
0.9 & -0.177965634265087 & 0.816621467439552 \tabularnewline
0.91 & 0.0913618058283018 & 0.864778820691665 \tabularnewline
0.92 & 0.37845029153312 & 0.86820002629419 \tabularnewline
0.93 & 0.674074650724434 & 0.82943781578846 \tabularnewline
0.94 & 0.969231340846513 & 0.764755757836202 \tabularnewline
0.95 & 1.25428516555047 & 0.6883048066624 \tabularnewline
0.96 & 1.51561557358258 & 0.591806647872853 \tabularnewline
0.97 & 1.73373767769838 & 0.45091350497512 \tabularnewline
0.98 & 1.88862166095042 & 0.266569558386619 \tabularnewline
0.99 & 1.97254436090900 & 0.0929458362138855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40518&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]-24.0116082424375[/C][C]2.72881266581097[/C][/ROW]
[ROW][C]0.02[/C][C]-22.5201437025436[/C][C]2.55933172069434[/C][/ROW]
[ROW][C]0.03[/C][C]-20.9763302549117[/C][C]2.52418983141475[/C][/ROW]
[ROW][C]0.04[/C][C]-19.5736780033744[/C][C]2.52513858459678[/C][/ROW]
[ROW][C]0.05[/C][C]-18.3363104281924[/C][C]2.49995914478594[/C][/ROW]
[ROW][C]0.06[/C][C]-17.2426120304512[/C][C]2.43029661133683[/C][/ROW]
[ROW][C]0.07[/C][C]-16.2740173266085[/C][C]2.31146666100364[/C][/ROW]
[ROW][C]0.08[/C][C]-15.4202031459869[/C][C]2.14927787161453[/C][/ROW]
[ROW][C]0.09[/C][C]-14.6738379898130[/C][C]1.96120368812742[/C][/ROW]
[ROW][C]0.1[/C][C]-14.0265888347188[/C][C]1.76968437964414[/C][/ROW]
[ROW][C]0.11[/C][C]-13.4680561478587[/C][C]1.59216086602436[/C][/ROW]
[ROW][C]0.12[/C][C]-12.9867044375028[/C][C]1.43501299801778[/C][/ROW]
[ROW][C]0.13[/C][C]-12.5714099849576[/C][C]1.29491698856541[/C][/ROW]
[ROW][C]0.14[/C][C]-12.2125156991923[/C][C]1.16525930255816[/C][/ROW]
[ROW][C]0.15[/C][C]-11.9019356461047[/C][C]1.04267631248002[/C][/ROW]
[ROW][C]0.16[/C][C]-11.6325115385848[/C][C]0.929960563496232[/C][/ROW]
[ROW][C]0.17[/C][C]-11.3971723518273[/C][C]0.835114541650699[/C][/ROW]
[ROW][C]0.18[/C][C]-11.1884153657426[/C][C]0.767811784910599[/C][/ROW]
[ROW][C]0.19[/C][C]-10.9983520021259[/C][C]0.734755793873225[/C][/ROW]
[ROW][C]0.2[/C][C]-10.8192490258970[/C][C]0.73580351818203[/C][/ROW]
[ROW][C]0.21[/C][C]-10.6442935951053[/C][C]0.763547743182071[/C][/ROW]
[ROW][C]0.22[/C][C]-10.4682683615199[/C][C]0.806686471079032[/C][/ROW]
[ROW][C]0.23[/C][C]-10.2879084059182[/C][C]0.854121891178609[/C][/ROW]
[ROW][C]0.24[/C][C]-10.1018565195243[/C][C]0.897425123810383[/C][/ROW]
[ROW][C]0.25[/C][C]-9.91027140192444[/C][C]0.931806632765716[/C][/ROW]
[ROW][C]0.26[/C][C]-9.71423333785209[/C][C]0.956159507784277[/C][/ROW]
[ROW][C]0.27[/C][C]-9.5151207019679[/C][C]0.972362805758362[/C][/ROW]
[ROW][C]0.28[/C][C]-9.31410661468278[/C][C]0.984151574961335[/C][/ROW]
[ROW][C]0.29[/C][C]-9.11186807686563[/C][C]0.995722240475813[/C][/ROW]
[ROW][C]0.3[/C][C]-8.90853227315034[/C][C]1.01036782766949[/C][/ROW]
[ROW][C]0.31[/C][C]-8.70382512124135[/C][C]1.02948426045813[/C][/ROW]
[ROW][C]0.32[/C][C]-8.49734738924148[/C][C]1.05222909928796[/C][/ROW]
[ROW][C]0.33[/C][C]-8.28888810797131[/C][C]1.07579249149091[/C][/ROW]
[ROW][C]0.34[/C][C]-8.07869149660802[/C][C]1.09613990319180[/C][/ROW]
[ROW][C]0.35[/C][C]-7.86761598597585[/C][C]1.10890877280932[/C][/ROW]
[ROW][C]0.36[/C][C]-7.65715434057137[/C][C]1.11027774684975[/C][/ROW]
[ROW][C]0.37[/C][C]-7.4493150227244[/C][C]1.09763743068238[/C][/ROW]
[ROW][C]0.38[/C][C]-7.2463912638807[/C][C]1.07005716180823[/C][/ROW]
[ROW][C]0.39[/C][C]-7.05066244709571[/C][C]1.02844485393595[/C][/ROW]
[ROW][C]0.4[/C][C]-6.86408097192578[/C][C]0.975498462472556[/C][/ROW]
[ROW][C]0.41[/C][C]-6.687996891618[/C][C]0.915395790845569[/C][/ROW]
[ROW][C]0.42[/C][C]-6.52296350567666[/C][C]0.853310634181569[/C][/ROW]
[ROW][C]0.43[/C][C]-6.36865181714291[/C][C]0.79481700507369[/C][/ROW]
[ROW][C]0.44[/C][C]-6.22388303645845[/C][C]0.745216619044868[/C][/ROW]
[ROW][C]0.45[/C][C]-6.08676926005719[/C][C]0.708805684944221[/C][/ROW]
[ROW][C]0.46[/C][C]-5.95493621739679[/C][C]0.688213606835596[/C][/ROW]
[ROW][C]0.47[/C][C]-5.82579119606015[/C][C]0.683931300775089[/C][/ROW]
[ROW][C]0.48[/C][C]-5.69679550114434[/C][C]0.694388498606423[/C][/ROW]
[ROW][C]0.49[/C][C]-5.56570425396423[/C][C]0.716455925155794[/C][/ROW]
[ROW][C]0.5[/C][C]-5.43074571361914[/C][C]0.746239642606991[/C][/ROW]
[ROW][C]0.51[/C][C]-5.29072522497634[/C][C]0.779776409260482[/C][/ROW]
[ROW][C]0.52[/C][C]-5.14505246382201[/C][C]0.813509630644443[/C][/ROW]
[ROW][C]0.53[/C][C]-4.99370217933734[/C][C]0.844542757239626[/C][/ROW]
[ROW][C]0.54[/C][C]-4.83712626495817[/C][C]0.870728850426863[/C][/ROW]
[ROW][C]0.55[/C][C]-4.67613803127573[/C][C]0.890675657152281[/C][/ROW]
[ROW][C]0.56[/C][C]-4.51178848907387[/C][C]0.903670882271665[/C][/ROW]
[ROW][C]0.57[/C][C]-4.34525060543469[/C][C]0.90954034034867[/C][/ROW]
[ROW][C]0.58[/C][C]-4.17772252412921[/C][C]0.908550009962435[/C][/ROW]
[ROW][C]0.59[/C][C]-4.01035606461628[/C][C]0.90124502401617[/C][/ROW]
[ROW][C]0.6[/C][C]-3.84421320620092[/C][C]0.888341028991411[/C][/ROW]
[ROW][C]0.61[/C][C]-3.68025070639491[/C][C]0.870572920411872[/C][/ROW]
[ROW][C]0.62[/C][C]-3.5193308529869[/C][C]0.848601532330043[/C][/ROW]
[ROW][C]0.63[/C][C]-3.36225377166225[/C][C]0.822897077630795[/C][/ROW]
[ROW][C]0.64[/C][C]-3.20980321105805[/C][C]0.79363492815547[/C][/ROW]
[ROW][C]0.65[/C][C]-3.06279358099684[/C][C]0.760683142431975[/C][/ROW]
[ROW][C]0.66[/C][C]-2.92210239230461[/C][C]0.723638490205163[/C][/ROW]
[ROW][C]0.67[/C][C]-2.78867089711310[/C][C]0.682014826892138[/C][/ROW]
[ROW][C]0.68[/C][C]-2.66345836280384[/C][C]0.635510820402031[/C][/ROW]
[ROW][C]0.69[/C][C]-2.54734291396123[/C][C]0.584332454773884[/C][/ROW]
[ROW][C]0.7[/C][C]-2.44097373018348[/C][C]0.529487510314067[/C][/ROW]
[ROW][C]0.71[/C][C]-2.34459356004930[/C][C]0.472952936187033[/C][/ROW]
[ROW][C]0.72[/C][C]-2.25786384952814[/C][C]0.417710638414769[/C][/ROW]
[ROW][C]0.73[/C][C]-2.17973375552892[/C][C]0.367610824186818[/C][/ROW]
[ROW][C]0.74[/C][C]-2.10839578131813[/C][C]0.327113745848997[/C][/ROW]
[ROW][C]0.75[/C][C]-2.04136251692941[/C][C]0.300738110686696[/C][/ROW]
[ROW][C]0.76[/C][C]-1.97568001087865[/C][C]0.291856452178027[/C][/ROW]
[ROW][C]0.77[/C][C]-1.90826422629882[/C][C]0.300944232532907[/C][/ROW]
[ROW][C]0.78[/C][C]-1.83631071552456[/C][C]0.324740569228386[/C][/ROW]
[ROW][C]0.79[/C][C]-1.75769034070697[/C][C]0.357255584579271[/C][/ROW]
[ROW][C]0.8[/C][C]-1.67121611859519[/C][C]0.391607259158004[/C][/ROW]
[ROW][C]0.81[/C][C]-1.5766624254581[/C][C]0.421646205589[/C][/ROW]
[ROW][C]0.82[/C][C]-1.47445290050796[/C][C]0.443416711329864[/C][/ROW]
[ROW][C]0.83[/C][C]-1.36501679788401[/C][C]0.456594716260282[/C][/ROW]
[ROW][C]0.84[/C][C]-1.24794008483180[/C][C]0.465609180699951[/C][/ROW]
[ROW][C]0.85[/C][C]-1.12117867626465[/C][C]0.479706989840173[/C][/ROW]
[ROW][C]0.86[/C][C]-0.9807005250221[/C][C]0.510577167443705[/C][/ROW]
[ROW][C]0.87[/C][C]-0.820904181292213[/C][C]0.566575046802346[/C][/ROW]
[ROW][C]0.88[/C][C]-0.635954742630962[/C][C]0.646292714201165[/C][/ROW]
[ROW][C]0.89[/C][C]-0.421776245320853[/C][C]0.73663799218425[/C][/ROW]
[ROW][C]0.9[/C][C]-0.177965634265087[/C][C]0.816621467439552[/C][/ROW]
[ROW][C]0.91[/C][C]0.0913618058283018[/C][C]0.864778820691665[/C][/ROW]
[ROW][C]0.92[/C][C]0.37845029153312[/C][C]0.86820002629419[/C][/ROW]
[ROW][C]0.93[/C][C]0.674074650724434[/C][C]0.82943781578846[/C][/ROW]
[ROW][C]0.94[/C][C]0.969231340846513[/C][C]0.764755757836202[/C][/ROW]
[ROW][C]0.95[/C][C]1.25428516555047[/C][C]0.6883048066624[/C][/ROW]
[ROW][C]0.96[/C][C]1.51561557358258[/C][C]0.591806647872853[/C][/ROW]
[ROW][C]0.97[/C][C]1.73373767769838[/C][C]0.45091350497512[/C][/ROW]
[ROW][C]0.98[/C][C]1.88862166095042[/C][C]0.266569558386619[/C][/ROW]
[ROW][C]0.99[/C][C]1.97254436090900[/C][C]0.0929458362138855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40518&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
0.01-24.01160824243752.72881266581097
0.02-22.52014370254362.55933172069434
0.03-20.97633025491172.52418983141475
0.04-19.57367800337442.52513858459678
0.05-18.33631042819242.49995914478594
0.06-17.24261203045122.43029661133683
0.07-16.27401732660852.31146666100364
0.08-15.42020314598692.14927787161453
0.09-14.67383798981301.96120368812742
0.1-14.02658883471881.76968437964414
0.11-13.46805614785871.59216086602436
0.12-12.98670443750281.43501299801778
0.13-12.57140998495761.29491698856541
0.14-12.21251569919231.16525930255816
0.15-11.90193564610471.04267631248002
0.16-11.63251153858480.929960563496232
0.17-11.39717235182730.835114541650699
0.18-11.18841536574260.767811784910599
0.19-10.99835200212590.734755793873225
0.2-10.81924902589700.73580351818203
0.21-10.64429359510530.763547743182071
0.22-10.46826836151990.806686471079032
0.23-10.28790840591820.854121891178609
0.24-10.10185651952430.897425123810383
0.25-9.910271401924440.931806632765716
0.26-9.714233337852090.956159507784277
0.27-9.51512070196790.972362805758362
0.28-9.314106614682780.984151574961335
0.29-9.111868076865630.995722240475813
0.3-8.908532273150341.01036782766949
0.31-8.703825121241351.02948426045813
0.32-8.497347389241481.05222909928796
0.33-8.288888107971311.07579249149091
0.34-8.078691496608021.09613990319180
0.35-7.867615985975851.10890877280932
0.36-7.657154340571371.11027774684975
0.37-7.44931502272441.09763743068238
0.38-7.24639126388071.07005716180823
0.39-7.050662447095711.02844485393595
0.4-6.864080971925780.975498462472556
0.41-6.6879968916180.915395790845569
0.42-6.522963505676660.853310634181569
0.43-6.368651817142910.79481700507369
0.44-6.223883036458450.745216619044868
0.45-6.086769260057190.708805684944221
0.46-5.954936217396790.688213606835596
0.47-5.825791196060150.683931300775089
0.48-5.696795501144340.694388498606423
0.49-5.565704253964230.716455925155794
0.5-5.430745713619140.746239642606991
0.51-5.290725224976340.779776409260482
0.52-5.145052463822010.813509630644443
0.53-4.993702179337340.844542757239626
0.54-4.837126264958170.870728850426863
0.55-4.676138031275730.890675657152281
0.56-4.511788489073870.903670882271665
0.57-4.345250605434690.90954034034867
0.58-4.177722524129210.908550009962435
0.59-4.010356064616280.90124502401617
0.6-3.844213206200920.888341028991411
0.61-3.680250706394910.870572920411872
0.62-3.51933085298690.848601532330043
0.63-3.362253771662250.822897077630795
0.64-3.209803211058050.79363492815547
0.65-3.062793580996840.760683142431975
0.66-2.922102392304610.723638490205163
0.67-2.788670897113100.682014826892138
0.68-2.663458362803840.635510820402031
0.69-2.547342913961230.584332454773884
0.7-2.440973730183480.529487510314067
0.71-2.344593560049300.472952936187033
0.72-2.257863849528140.417710638414769
0.73-2.179733755528920.367610824186818
0.74-2.108395781318130.327113745848997
0.75-2.041362516929410.300738110686696
0.76-1.975680010878650.291856452178027
0.77-1.908264226298820.300944232532907
0.78-1.836310715524560.324740569228386
0.79-1.757690340706970.357255584579271
0.8-1.671216118595190.391607259158004
0.81-1.57666242545810.421646205589
0.82-1.474452900507960.443416711329864
0.83-1.365016797884010.456594716260282
0.84-1.247940084831800.465609180699951
0.85-1.121178676264650.479706989840173
0.86-0.98070052502210.510577167443705
0.87-0.8209041812922130.566575046802346
0.88-0.6359547426309620.646292714201165
0.89-0.4217762453208530.73663799218425
0.9-0.1779656342650870.816621467439552
0.910.09136180582830180.864778820691665
0.920.378450291533120.86820002629419
0.930.6740746507244340.82943781578846
0.940.9692313408465130.764755757836202
0.951.254285165550470.6883048066624
0.961.515615573582580.591806647872853
0.971.733737677698380.45091350497512
0.981.888621660950420.266569558386619
0.991.972544360909000.0929458362138855


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')