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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 21 Dec 2008 19:50:12 -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/Dec/22/t12299143440llsedsxvklfp4w.htm/, Retrieved Sun, 12 May 2024 20:36:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35933, Retrieved Sun, 12 May 2024 20:36:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-10-27 20:46:01] [504b73e6de93b01331326637b3288ad4]
-   PD      [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-12-22 02:50:12] [ba85d9d0a82357dd3edf208eef933423] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,477269891
0,478410492
0,504316364
0,506990676
0,500622376
0,497114437
0,489770935
0,50032426
0,496225333
0,487762793
0,472753331
0,501663748
0,479368898
0,476033445
0,486479244
0,501023137
0,48446665
0,486717446
0,482483391
0,483640092
0,480041869
0,481223922
0,468463974
0,501452361
0,475514958
0,480470499
0,484596338
0,51612149
0,49487311
0,49206278
0,489188671
0,484279009
0,477914997
0,478499046
0,472352468
0,503272274
0,473015832
0,483269951
0,484650263
0,500445401
0,49263478
0,488934448
0,489865057
0,484365113
0,480927311
0,495142257
0,47672132
0,509407461
0,48267775
0,482611377
0,488165194
0,502454309
0,494830217
0,496604793
0,491006409
0,486326477
0,489553425
0,496401806
0,4807411
0,509049524
0,485714056
0,485835226
0,49727307
0,513230783
0,508231932
0,500341985
0,504904575
0,498470877
0,490171652
0,489131192
0,482692545
0,511044702
0,488010816
0,491555299
0,493155728
0,503378881
0,49618093
0,493214336
0,48908809
0,492917878
0,496698074
0,488400632
0,494690964
0,500762843
0,492406698
0,497969393
0,506544509
0,522583929
0,522288862
0,511579477
0,518798333
0,516002006
0,518942733
0,509925739

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=35933&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=35933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35933&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
0.010.4699045604671530.00272522097577003
0.020.4716295191164390.00171609621503740
0.030.4729532625442740.00153467562883571
0.040.4739795106429180.00169540796254204
0.050.4748838307892260.00175521711384840
0.060.4757091977913430.00167626556227465
0.070.4764458450040420.00155174210417148
0.080.4770939173976690.00145505667543183
0.090.4776703000552420.00140504411674653
0.10.4781964950727040.00139075895774268
0.110.4786896421024270.00139468454500301
0.120.4791601374440950.0014021416175248
0.130.4796129215941470.00140450683909616
0.140.4800496929087170.00139908681426113
0.150.4804707396653790.00138764498299412
0.160.4808760337869430.00137230645228937
0.170.4812656858329620.00135295448368512
0.180.4816400375157110.00133088184102440
0.190.4819996576555270.00130680480578264
0.20.4823453827257510.00128287990348886
0.210.4826784069702950.00126070551653304
0.220.4830003589065120.00124370720426567
0.230.4833133100090110.00123455554351068
0.240.4836197034325150.00123486023979540
0.250.4839222195939940.00124491188156332
0.260.4842235972208740.00126596417875977
0.270.4845264184474980.00129711721836181
0.280.4848328654621730.00133632733073426
0.290.4851444705588020.00138047368225729
0.30.4854619012851760.00142362564111022
0.310.4857848323717030.00146225547081182
0.320.4861119476176590.00149065082296614
0.330.486441090348330.00150586341885049
0.340.4867695502160990.00150502457173187
0.350.487094447231070.00148968842625359
0.360.4874131568894670.00146100005880478
0.370.4877237141091420.00142363755003808
0.380.4880251366768390.00138302356588535
0.390.4883176191959250.00134629703056326
0.40.4886025651324190.00131828650683118
0.410.488882446835020.00130589398931206
0.420.489160509681540.00131138313792104
0.430.4894403631864980.00133606919488776
0.440.4897255236532240.00137819162303916
0.450.4900189839797120.00143293458787443
0.460.4903228822435620.00149492448575145
0.470.4906383207971590.00155784102342069
0.480.4909653553472390.00161621545698439
0.490.4913031365329570.00166652113184047
0.50.4916501547398070.00170682328471086
0.510.4920045213984070.00173572506982002
0.520.4923642219933640.00175405097480294
0.530.4927272966136630.00176286974699327
0.540.493091936184770.00176349225039422
0.550.4934565156177490.00175641499006841
0.560.4938196076819840.00174224888178313
0.570.4941800255288290.00172151059394176
0.580.4945369255427520.00169620228158799
0.590.4948899703176350.00166912091412638
0.60.495239514121640.00164311836921048
0.610.4955867428840780.00162320952190569
0.620.4959336893941830.00161469684688532
0.630.4962830598235720.0016213441219843
0.640.4966378507458220.00164367330358735
0.650.4970007987793230.00167969883481735
0.660.497373771624220.00172327633575437
0.670.4977572579020290.00176587924517951
0.680.4981501226681420.00179809836353955
0.690.4985497531454240.00181154939850889
0.70.4989526283587190.00180347974969064
0.710.4993552288480810.00177362070001361
0.720.4997550945708440.00173044919880793
0.730.5001517787458680.00168526792272972
0.740.5005474576621890.00165196843287389
0.750.5009470405140980.00164402659944994
0.760.5013577501150530.00167048015036901
0.770.5017882684880560.00173469324058461
0.780.5022476178945310.00183409980356160
0.790.5027439600070740.00195997529320538
0.80.5032834616222040.00210113723435159
0.810.5038693398224510.00224309407794082
0.820.5045012084352680.00237055325448622
0.830.5051749132423170.00246813426228015
0.840.5058831229401540.00252431400084301
0.850.5066169452745280.00253300819498770
0.860.5073686615642770.00250097766080096
0.870.5081352623679150.00244686882405891
0.880.5089218693122230.00240171533626773
0.890.5097435417259870.00240168311439814
0.90.5106237722572830.0024723507525443
0.910.5115886792154190.00261035899872752
0.920.512657866030140.00277338415034670
0.930.5138358692471360.00289273095569309
0.940.5151106534419760.00290612304922767
0.950.5164643717108060.00279680069166897
0.960.517889832051550.00262192075711270
0.970.519379713150520.00246121388281653
0.980.5208459272572530.00216416197284666
0.990.5220220153127120.00131037947839559

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.469904560467153 & 0.00272522097577003 \tabularnewline
0.02 & 0.471629519116439 & 0.00171609621503740 \tabularnewline
0.03 & 0.472953262544274 & 0.00153467562883571 \tabularnewline
0.04 & 0.473979510642918 & 0.00169540796254204 \tabularnewline
0.05 & 0.474883830789226 & 0.00175521711384840 \tabularnewline
0.06 & 0.475709197791343 & 0.00167626556227465 \tabularnewline
0.07 & 0.476445845004042 & 0.00155174210417148 \tabularnewline
0.08 & 0.477093917397669 & 0.00145505667543183 \tabularnewline
0.09 & 0.477670300055242 & 0.00140504411674653 \tabularnewline
0.1 & 0.478196495072704 & 0.00139075895774268 \tabularnewline
0.11 & 0.478689642102427 & 0.00139468454500301 \tabularnewline
0.12 & 0.479160137444095 & 0.0014021416175248 \tabularnewline
0.13 & 0.479612921594147 & 0.00140450683909616 \tabularnewline
0.14 & 0.480049692908717 & 0.00139908681426113 \tabularnewline
0.15 & 0.480470739665379 & 0.00138764498299412 \tabularnewline
0.16 & 0.480876033786943 & 0.00137230645228937 \tabularnewline
0.17 & 0.481265685832962 & 0.00135295448368512 \tabularnewline
0.18 & 0.481640037515711 & 0.00133088184102440 \tabularnewline
0.19 & 0.481999657655527 & 0.00130680480578264 \tabularnewline
0.2 & 0.482345382725751 & 0.00128287990348886 \tabularnewline
0.21 & 0.482678406970295 & 0.00126070551653304 \tabularnewline
0.22 & 0.483000358906512 & 0.00124370720426567 \tabularnewline
0.23 & 0.483313310009011 & 0.00123455554351068 \tabularnewline
0.24 & 0.483619703432515 & 0.00123486023979540 \tabularnewline
0.25 & 0.483922219593994 & 0.00124491188156332 \tabularnewline
0.26 & 0.484223597220874 & 0.00126596417875977 \tabularnewline
0.27 & 0.484526418447498 & 0.00129711721836181 \tabularnewline
0.28 & 0.484832865462173 & 0.00133632733073426 \tabularnewline
0.29 & 0.485144470558802 & 0.00138047368225729 \tabularnewline
0.3 & 0.485461901285176 & 0.00142362564111022 \tabularnewline
0.31 & 0.485784832371703 & 0.00146225547081182 \tabularnewline
0.32 & 0.486111947617659 & 0.00149065082296614 \tabularnewline
0.33 & 0.48644109034833 & 0.00150586341885049 \tabularnewline
0.34 & 0.486769550216099 & 0.00150502457173187 \tabularnewline
0.35 & 0.48709444723107 & 0.00148968842625359 \tabularnewline
0.36 & 0.487413156889467 & 0.00146100005880478 \tabularnewline
0.37 & 0.487723714109142 & 0.00142363755003808 \tabularnewline
0.38 & 0.488025136676839 & 0.00138302356588535 \tabularnewline
0.39 & 0.488317619195925 & 0.00134629703056326 \tabularnewline
0.4 & 0.488602565132419 & 0.00131828650683118 \tabularnewline
0.41 & 0.48888244683502 & 0.00130589398931206 \tabularnewline
0.42 & 0.48916050968154 & 0.00131138313792104 \tabularnewline
0.43 & 0.489440363186498 & 0.00133606919488776 \tabularnewline
0.44 & 0.489725523653224 & 0.00137819162303916 \tabularnewline
0.45 & 0.490018983979712 & 0.00143293458787443 \tabularnewline
0.46 & 0.490322882243562 & 0.00149492448575145 \tabularnewline
0.47 & 0.490638320797159 & 0.00155784102342069 \tabularnewline
0.48 & 0.490965355347239 & 0.00161621545698439 \tabularnewline
0.49 & 0.491303136532957 & 0.00166652113184047 \tabularnewline
0.5 & 0.491650154739807 & 0.00170682328471086 \tabularnewline
0.51 & 0.492004521398407 & 0.00173572506982002 \tabularnewline
0.52 & 0.492364221993364 & 0.00175405097480294 \tabularnewline
0.53 & 0.492727296613663 & 0.00176286974699327 \tabularnewline
0.54 & 0.49309193618477 & 0.00176349225039422 \tabularnewline
0.55 & 0.493456515617749 & 0.00175641499006841 \tabularnewline
0.56 & 0.493819607681984 & 0.00174224888178313 \tabularnewline
0.57 & 0.494180025528829 & 0.00172151059394176 \tabularnewline
0.58 & 0.494536925542752 & 0.00169620228158799 \tabularnewline
0.59 & 0.494889970317635 & 0.00166912091412638 \tabularnewline
0.6 & 0.49523951412164 & 0.00164311836921048 \tabularnewline
0.61 & 0.495586742884078 & 0.00162320952190569 \tabularnewline
0.62 & 0.495933689394183 & 0.00161469684688532 \tabularnewline
0.63 & 0.496283059823572 & 0.0016213441219843 \tabularnewline
0.64 & 0.496637850745822 & 0.00164367330358735 \tabularnewline
0.65 & 0.497000798779323 & 0.00167969883481735 \tabularnewline
0.66 & 0.49737377162422 & 0.00172327633575437 \tabularnewline
0.67 & 0.497757257902029 & 0.00176587924517951 \tabularnewline
0.68 & 0.498150122668142 & 0.00179809836353955 \tabularnewline
0.69 & 0.498549753145424 & 0.00181154939850889 \tabularnewline
0.7 & 0.498952628358719 & 0.00180347974969064 \tabularnewline
0.71 & 0.499355228848081 & 0.00177362070001361 \tabularnewline
0.72 & 0.499755094570844 & 0.00173044919880793 \tabularnewline
0.73 & 0.500151778745868 & 0.00168526792272972 \tabularnewline
0.74 & 0.500547457662189 & 0.00165196843287389 \tabularnewline
0.75 & 0.500947040514098 & 0.00164402659944994 \tabularnewline
0.76 & 0.501357750115053 & 0.00167048015036901 \tabularnewline
0.77 & 0.501788268488056 & 0.00173469324058461 \tabularnewline
0.78 & 0.502247617894531 & 0.00183409980356160 \tabularnewline
0.79 & 0.502743960007074 & 0.00195997529320538 \tabularnewline
0.8 & 0.503283461622204 & 0.00210113723435159 \tabularnewline
0.81 & 0.503869339822451 & 0.00224309407794082 \tabularnewline
0.82 & 0.504501208435268 & 0.00237055325448622 \tabularnewline
0.83 & 0.505174913242317 & 0.00246813426228015 \tabularnewline
0.84 & 0.505883122940154 & 0.00252431400084301 \tabularnewline
0.85 & 0.506616945274528 & 0.00253300819498770 \tabularnewline
0.86 & 0.507368661564277 & 0.00250097766080096 \tabularnewline
0.87 & 0.508135262367915 & 0.00244686882405891 \tabularnewline
0.88 & 0.508921869312223 & 0.00240171533626773 \tabularnewline
0.89 & 0.509743541725987 & 0.00240168311439814 \tabularnewline
0.9 & 0.510623772257283 & 0.0024723507525443 \tabularnewline
0.91 & 0.511588679215419 & 0.00261035899872752 \tabularnewline
0.92 & 0.51265786603014 & 0.00277338415034670 \tabularnewline
0.93 & 0.513835869247136 & 0.00289273095569309 \tabularnewline
0.94 & 0.515110653441976 & 0.00290612304922767 \tabularnewline
0.95 & 0.516464371710806 & 0.00279680069166897 \tabularnewline
0.96 & 0.51788983205155 & 0.00262192075711270 \tabularnewline
0.97 & 0.51937971315052 & 0.00246121388281653 \tabularnewline
0.98 & 0.520845927257253 & 0.00216416197284666 \tabularnewline
0.99 & 0.522022015312712 & 0.00131037947839559 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35933&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]0.469904560467153[/C][C]0.00272522097577003[/C][/ROW]
[ROW][C]0.02[/C][C]0.471629519116439[/C][C]0.00171609621503740[/C][/ROW]
[ROW][C]0.03[/C][C]0.472953262544274[/C][C]0.00153467562883571[/C][/ROW]
[ROW][C]0.04[/C][C]0.473979510642918[/C][C]0.00169540796254204[/C][/ROW]
[ROW][C]0.05[/C][C]0.474883830789226[/C][C]0.00175521711384840[/C][/ROW]
[ROW][C]0.06[/C][C]0.475709197791343[/C][C]0.00167626556227465[/C][/ROW]
[ROW][C]0.07[/C][C]0.476445845004042[/C][C]0.00155174210417148[/C][/ROW]
[ROW][C]0.08[/C][C]0.477093917397669[/C][C]0.00145505667543183[/C][/ROW]
[ROW][C]0.09[/C][C]0.477670300055242[/C][C]0.00140504411674653[/C][/ROW]
[ROW][C]0.1[/C][C]0.478196495072704[/C][C]0.00139075895774268[/C][/ROW]
[ROW][C]0.11[/C][C]0.478689642102427[/C][C]0.00139468454500301[/C][/ROW]
[ROW][C]0.12[/C][C]0.479160137444095[/C][C]0.0014021416175248[/C][/ROW]
[ROW][C]0.13[/C][C]0.479612921594147[/C][C]0.00140450683909616[/C][/ROW]
[ROW][C]0.14[/C][C]0.480049692908717[/C][C]0.00139908681426113[/C][/ROW]
[ROW][C]0.15[/C][C]0.480470739665379[/C][C]0.00138764498299412[/C][/ROW]
[ROW][C]0.16[/C][C]0.480876033786943[/C][C]0.00137230645228937[/C][/ROW]
[ROW][C]0.17[/C][C]0.481265685832962[/C][C]0.00135295448368512[/C][/ROW]
[ROW][C]0.18[/C][C]0.481640037515711[/C][C]0.00133088184102440[/C][/ROW]
[ROW][C]0.19[/C][C]0.481999657655527[/C][C]0.00130680480578264[/C][/ROW]
[ROW][C]0.2[/C][C]0.482345382725751[/C][C]0.00128287990348886[/C][/ROW]
[ROW][C]0.21[/C][C]0.482678406970295[/C][C]0.00126070551653304[/C][/ROW]
[ROW][C]0.22[/C][C]0.483000358906512[/C][C]0.00124370720426567[/C][/ROW]
[ROW][C]0.23[/C][C]0.483313310009011[/C][C]0.00123455554351068[/C][/ROW]
[ROW][C]0.24[/C][C]0.483619703432515[/C][C]0.00123486023979540[/C][/ROW]
[ROW][C]0.25[/C][C]0.483922219593994[/C][C]0.00124491188156332[/C][/ROW]
[ROW][C]0.26[/C][C]0.484223597220874[/C][C]0.00126596417875977[/C][/ROW]
[ROW][C]0.27[/C][C]0.484526418447498[/C][C]0.00129711721836181[/C][/ROW]
[ROW][C]0.28[/C][C]0.484832865462173[/C][C]0.00133632733073426[/C][/ROW]
[ROW][C]0.29[/C][C]0.485144470558802[/C][C]0.00138047368225729[/C][/ROW]
[ROW][C]0.3[/C][C]0.485461901285176[/C][C]0.00142362564111022[/C][/ROW]
[ROW][C]0.31[/C][C]0.485784832371703[/C][C]0.00146225547081182[/C][/ROW]
[ROW][C]0.32[/C][C]0.486111947617659[/C][C]0.00149065082296614[/C][/ROW]
[ROW][C]0.33[/C][C]0.48644109034833[/C][C]0.00150586341885049[/C][/ROW]
[ROW][C]0.34[/C][C]0.486769550216099[/C][C]0.00150502457173187[/C][/ROW]
[ROW][C]0.35[/C][C]0.48709444723107[/C][C]0.00148968842625359[/C][/ROW]
[ROW][C]0.36[/C][C]0.487413156889467[/C][C]0.00146100005880478[/C][/ROW]
[ROW][C]0.37[/C][C]0.487723714109142[/C][C]0.00142363755003808[/C][/ROW]
[ROW][C]0.38[/C][C]0.488025136676839[/C][C]0.00138302356588535[/C][/ROW]
[ROW][C]0.39[/C][C]0.488317619195925[/C][C]0.00134629703056326[/C][/ROW]
[ROW][C]0.4[/C][C]0.488602565132419[/C][C]0.00131828650683118[/C][/ROW]
[ROW][C]0.41[/C][C]0.48888244683502[/C][C]0.00130589398931206[/C][/ROW]
[ROW][C]0.42[/C][C]0.48916050968154[/C][C]0.00131138313792104[/C][/ROW]
[ROW][C]0.43[/C][C]0.489440363186498[/C][C]0.00133606919488776[/C][/ROW]
[ROW][C]0.44[/C][C]0.489725523653224[/C][C]0.00137819162303916[/C][/ROW]
[ROW][C]0.45[/C][C]0.490018983979712[/C][C]0.00143293458787443[/C][/ROW]
[ROW][C]0.46[/C][C]0.490322882243562[/C][C]0.00149492448575145[/C][/ROW]
[ROW][C]0.47[/C][C]0.490638320797159[/C][C]0.00155784102342069[/C][/ROW]
[ROW][C]0.48[/C][C]0.490965355347239[/C][C]0.00161621545698439[/C][/ROW]
[ROW][C]0.49[/C][C]0.491303136532957[/C][C]0.00166652113184047[/C][/ROW]
[ROW][C]0.5[/C][C]0.491650154739807[/C][C]0.00170682328471086[/C][/ROW]
[ROW][C]0.51[/C][C]0.492004521398407[/C][C]0.00173572506982002[/C][/ROW]
[ROW][C]0.52[/C][C]0.492364221993364[/C][C]0.00175405097480294[/C][/ROW]
[ROW][C]0.53[/C][C]0.492727296613663[/C][C]0.00176286974699327[/C][/ROW]
[ROW][C]0.54[/C][C]0.49309193618477[/C][C]0.00176349225039422[/C][/ROW]
[ROW][C]0.55[/C][C]0.493456515617749[/C][C]0.00175641499006841[/C][/ROW]
[ROW][C]0.56[/C][C]0.493819607681984[/C][C]0.00174224888178313[/C][/ROW]
[ROW][C]0.57[/C][C]0.494180025528829[/C][C]0.00172151059394176[/C][/ROW]
[ROW][C]0.58[/C][C]0.494536925542752[/C][C]0.00169620228158799[/C][/ROW]
[ROW][C]0.59[/C][C]0.494889970317635[/C][C]0.00166912091412638[/C][/ROW]
[ROW][C]0.6[/C][C]0.49523951412164[/C][C]0.00164311836921048[/C][/ROW]
[ROW][C]0.61[/C][C]0.495586742884078[/C][C]0.00162320952190569[/C][/ROW]
[ROW][C]0.62[/C][C]0.495933689394183[/C][C]0.00161469684688532[/C][/ROW]
[ROW][C]0.63[/C][C]0.496283059823572[/C][C]0.0016213441219843[/C][/ROW]
[ROW][C]0.64[/C][C]0.496637850745822[/C][C]0.00164367330358735[/C][/ROW]
[ROW][C]0.65[/C][C]0.497000798779323[/C][C]0.00167969883481735[/C][/ROW]
[ROW][C]0.66[/C][C]0.49737377162422[/C][C]0.00172327633575437[/C][/ROW]
[ROW][C]0.67[/C][C]0.497757257902029[/C][C]0.00176587924517951[/C][/ROW]
[ROW][C]0.68[/C][C]0.498150122668142[/C][C]0.00179809836353955[/C][/ROW]
[ROW][C]0.69[/C][C]0.498549753145424[/C][C]0.00181154939850889[/C][/ROW]
[ROW][C]0.7[/C][C]0.498952628358719[/C][C]0.00180347974969064[/C][/ROW]
[ROW][C]0.71[/C][C]0.499355228848081[/C][C]0.00177362070001361[/C][/ROW]
[ROW][C]0.72[/C][C]0.499755094570844[/C][C]0.00173044919880793[/C][/ROW]
[ROW][C]0.73[/C][C]0.500151778745868[/C][C]0.00168526792272972[/C][/ROW]
[ROW][C]0.74[/C][C]0.500547457662189[/C][C]0.00165196843287389[/C][/ROW]
[ROW][C]0.75[/C][C]0.500947040514098[/C][C]0.00164402659944994[/C][/ROW]
[ROW][C]0.76[/C][C]0.501357750115053[/C][C]0.00167048015036901[/C][/ROW]
[ROW][C]0.77[/C][C]0.501788268488056[/C][C]0.00173469324058461[/C][/ROW]
[ROW][C]0.78[/C][C]0.502247617894531[/C][C]0.00183409980356160[/C][/ROW]
[ROW][C]0.79[/C][C]0.502743960007074[/C][C]0.00195997529320538[/C][/ROW]
[ROW][C]0.8[/C][C]0.503283461622204[/C][C]0.00210113723435159[/C][/ROW]
[ROW][C]0.81[/C][C]0.503869339822451[/C][C]0.00224309407794082[/C][/ROW]
[ROW][C]0.82[/C][C]0.504501208435268[/C][C]0.00237055325448622[/C][/ROW]
[ROW][C]0.83[/C][C]0.505174913242317[/C][C]0.00246813426228015[/C][/ROW]
[ROW][C]0.84[/C][C]0.505883122940154[/C][C]0.00252431400084301[/C][/ROW]
[ROW][C]0.85[/C][C]0.506616945274528[/C][C]0.00253300819498770[/C][/ROW]
[ROW][C]0.86[/C][C]0.507368661564277[/C][C]0.00250097766080096[/C][/ROW]
[ROW][C]0.87[/C][C]0.508135262367915[/C][C]0.00244686882405891[/C][/ROW]
[ROW][C]0.88[/C][C]0.508921869312223[/C][C]0.00240171533626773[/C][/ROW]
[ROW][C]0.89[/C][C]0.509743541725987[/C][C]0.00240168311439814[/C][/ROW]
[ROW][C]0.9[/C][C]0.510623772257283[/C][C]0.0024723507525443[/C][/ROW]
[ROW][C]0.91[/C][C]0.511588679215419[/C][C]0.00261035899872752[/C][/ROW]
[ROW][C]0.92[/C][C]0.51265786603014[/C][C]0.00277338415034670[/C][/ROW]
[ROW][C]0.93[/C][C]0.513835869247136[/C][C]0.00289273095569309[/C][/ROW]
[ROW][C]0.94[/C][C]0.515110653441976[/C][C]0.00290612304922767[/C][/ROW]
[ROW][C]0.95[/C][C]0.516464371710806[/C][C]0.00279680069166897[/C][/ROW]
[ROW][C]0.96[/C][C]0.51788983205155[/C][C]0.00262192075711270[/C][/ROW]
[ROW][C]0.97[/C][C]0.51937971315052[/C][C]0.00246121388281653[/C][/ROW]
[ROW][C]0.98[/C][C]0.520845927257253[/C][C]0.00216416197284666[/C][/ROW]
[ROW][C]0.99[/C][C]0.522022015312712[/C][C]0.00131037947839559[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35933&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
0.010.4699045604671530.00272522097577003
0.020.4716295191164390.00171609621503740
0.030.4729532625442740.00153467562883571
0.040.4739795106429180.00169540796254204
0.050.4748838307892260.00175521711384840
0.060.4757091977913430.00167626556227465
0.070.4764458450040420.00155174210417148
0.080.4770939173976690.00145505667543183
0.090.4776703000552420.00140504411674653
0.10.4781964950727040.00139075895774268
0.110.4786896421024270.00139468454500301
0.120.4791601374440950.0014021416175248
0.130.4796129215941470.00140450683909616
0.140.4800496929087170.00139908681426113
0.150.4804707396653790.00138764498299412
0.160.4808760337869430.00137230645228937
0.170.4812656858329620.00135295448368512
0.180.4816400375157110.00133088184102440
0.190.4819996576555270.00130680480578264
0.20.4823453827257510.00128287990348886
0.210.4826784069702950.00126070551653304
0.220.4830003589065120.00124370720426567
0.230.4833133100090110.00123455554351068
0.240.4836197034325150.00123486023979540
0.250.4839222195939940.00124491188156332
0.260.4842235972208740.00126596417875977
0.270.4845264184474980.00129711721836181
0.280.4848328654621730.00133632733073426
0.290.4851444705588020.00138047368225729
0.30.4854619012851760.00142362564111022
0.310.4857848323717030.00146225547081182
0.320.4861119476176590.00149065082296614
0.330.486441090348330.00150586341885049
0.340.4867695502160990.00150502457173187
0.350.487094447231070.00148968842625359
0.360.4874131568894670.00146100005880478
0.370.4877237141091420.00142363755003808
0.380.4880251366768390.00138302356588535
0.390.4883176191959250.00134629703056326
0.40.4886025651324190.00131828650683118
0.410.488882446835020.00130589398931206
0.420.489160509681540.00131138313792104
0.430.4894403631864980.00133606919488776
0.440.4897255236532240.00137819162303916
0.450.4900189839797120.00143293458787443
0.460.4903228822435620.00149492448575145
0.470.4906383207971590.00155784102342069
0.480.4909653553472390.00161621545698439
0.490.4913031365329570.00166652113184047
0.50.4916501547398070.00170682328471086
0.510.4920045213984070.00173572506982002
0.520.4923642219933640.00175405097480294
0.530.4927272966136630.00176286974699327
0.540.493091936184770.00176349225039422
0.550.4934565156177490.00175641499006841
0.560.4938196076819840.00174224888178313
0.570.4941800255288290.00172151059394176
0.580.4945369255427520.00169620228158799
0.590.4948899703176350.00166912091412638
0.60.495239514121640.00164311836921048
0.610.4955867428840780.00162320952190569
0.620.4959336893941830.00161469684688532
0.630.4962830598235720.0016213441219843
0.640.4966378507458220.00164367330358735
0.650.4970007987793230.00167969883481735
0.660.497373771624220.00172327633575437
0.670.4977572579020290.00176587924517951
0.680.4981501226681420.00179809836353955
0.690.4985497531454240.00181154939850889
0.70.4989526283587190.00180347974969064
0.710.4993552288480810.00177362070001361
0.720.4997550945708440.00173044919880793
0.730.5001517787458680.00168526792272972
0.740.5005474576621890.00165196843287389
0.750.5009470405140980.00164402659944994
0.760.5013577501150530.00167048015036901
0.770.5017882684880560.00173469324058461
0.780.5022476178945310.00183409980356160
0.790.5027439600070740.00195997529320538
0.80.5032834616222040.00210113723435159
0.810.5038693398224510.00224309407794082
0.820.5045012084352680.00237055325448622
0.830.5051749132423170.00246813426228015
0.840.5058831229401540.00252431400084301
0.850.5066169452745280.00253300819498770
0.860.5073686615642770.00250097766080096
0.870.5081352623679150.00244686882405891
0.880.5089218693122230.00240171533626773
0.890.5097435417259870.00240168311439814
0.90.5106237722572830.0024723507525443
0.910.5115886792154190.00261035899872752
0.920.512657866030140.00277338415034670
0.930.5138358692471360.00289273095569309
0.940.5151106534419760.00290612304922767
0.950.5164643717108060.00279680069166897
0.960.517889832051550.00262192075711270
0.970.519379713150520.00246121388281653
0.980.5208459272572530.00216416197284666
0.990.5220220153127120.00131037947839559


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')