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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 computationMon, 11 Oct 2010 14:41:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286808072wb8kob068pamod7.htm/, Retrieved Mon, 18 May 2026 11:52:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82515, Retrieved Mon, 18 May 2026 11:52:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact364

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] [harrell-davis cho...] [2010-10-11 14:41:55] [2d936dc014887261753404b7df36ea79] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,24
7,52
7,57
7,59
7,58
7,55
7,52
7,55
7,62
7,64
7,68
7,69
7,7
7,6
7,51
7,66
7,69
7,66
7,7
7,72
7,74
7,76
7,72
7,73
7,75
8,1
8,22
8,32
8,07
8,18
8,33
8,34
8,25
8,36
8,36
8,34
8,41
8,39
8,43
8,44
8,49
8,47
8,53
8,52
8,51
8,53
8,54
8,53
8,47
8,63
8,67
8,73
8,57
8,55
8,63
8,65
8,44
8,62
8,37
8,59
8,84
8,72
8,8
8,69
8,68
8,57
8,85
8,85
8,85
8,93
8,75
8,78
8,77
9,03
9,01
9,07
8,99
9,02
8,99
8,98
8,94
8,94
8,75
8,86

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82515&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]1 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=82515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82515&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.322585049022030.190263317508205
0.027.418707718205560.102615403930200
0.037.48309747765690.0483142835910627
0.047.517023360211230.0277804246893872
0.057.53534693828070.0245551963917261
0.067.548069770313140.0256813325425821
0.077.55927846212290.0274447328175269
0.087.570210022664170.0294268095369041
0.097.581191534696310.0316276800147071
0.17.592319245407380.0338838164686572
0.117.603599713325420.0358911483738796
0.127.614960842201190.0373221357291141
0.137.626265803433550.037981883688951
0.147.637350658898970.0378483862690416
0.157.648075297113110.0371590385468364
0.167.658373836485380.0363147469703946
0.177.668295139507790.0358920918973131
0.187.678029623386430.03662331425801
0.197.687921998070940.0393379880559717
0.27.698469892643350.0448420418817829
0.217.71030653409160.053797300229405
0.227.724163920042010.0665596564562114
0.237.74081341675480.0831248820898634
0.247.760984411067790.102994364573981
0.257.785267917354130.125218923593756
0.267.814018823483130.148400979389985
0.277.847275036076890.170798203897006
0.287.884711879764140.190558874981314
0.297.925644878175210.206001982841908
0.37.96908455296030.215839825215749
0.318.013835765221830.219367307973838
0.328.05862465379510.216545725445619
0.338.102231071281210.207995408658656
0.348.143604749414540.194797129791722
0.358.181948633204380.178393949399208
0.368.216760948462970.160253137753070
0.378.247836143280770.141827983585843
0.388.275231764643770.124273560660235
0.398.299212405553250.108496448706633
0.48.320182920562460.0950143392316369
0.418.338621767601820.0840818905071903
0.428.355022560319170.0756538368242984
0.438.369848660233250.0694326306709142
0.448.383502613295040.0650817290009307
0.458.396309851646770.062102860084341
0.468.408514495334860.0600561138707349
0.478.42028428517020.0585821414530867
0.488.431721537449230.0573551374262385
0.498.442877352854320.0561800877564825
0.58.45376692214460.0549221474022198
0.518.464384436645010.0535148034002798
0.528.474716658505220.0519754174183181
0.538.48475453935980.050334237754414
0.548.494502400318950.0487137876942838
0.558.503984192800830.0472186574593106
0.568.513246385532260.0460015795199191
0.578.522357190734680.045175834485361
0.588.53140220612350.0448576526261356
0.598.540477066644280.0450458917942724
0.68.549678242345260.0457777220539107
0.618.559093516001930.0469023481137481
0.628.5687937761390.0483248870482294
0.638.578827496535330.0498864186879458
0.648.589218682144720.0514455149837799
0.658.599968290786010.0528680905664683
0.668.611058402980470.054100411317476
0.678.622457921188740.0550789903781657
0.688.634128473815190.0558162762247057
0.698.646029490886940.0562993919430954
0.78.658121976255290.0565617676300324
0.718.67037108603760.0566348380506775
0.728.682747971176530.056527746276088
0.738.695231280282230.0562820039897629
0.748.707808271287690.0559309151017824
0.758.72047491385790.0555369886065984
0.768.73323412252660.0551244200454724
0.778.746091762020250.0547113539241762
0.788.759051410662410.0543046835703787
0.798.772110577726280.0538345726508239
0.88.785262071917530.0532353924250007
0.818.798503237694130.0524883845771794
0.828.811852156495050.0516534253889446
0.838.82536450477770.0509215822710329
0.848.839140247431530.0505358740154915
0.858.853309295545620.0506884595972086
0.868.867991939186620.0513142615931437
0.878.88324190168250.0520540718864439
0.888.898991741020020.0522944360566876
0.898.915025093268240.0514401349916202
0.98.93099412971930.0490901393789198
0.918.946485644523950.0452159774951885
0.928.961121311339480.0401370948146866
0.938.974663371523710.034477676623569
0.948.987096977971730.0290000648959505
0.958.998696217331450.0243609617462826
0.969.01015427158140.020971709753946
0.979.022808416827630.0195874873904624
0.989.038355376135930.0225109531714973
0.999.056350941254130.031013843469429

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.32258504902203 & 0.190263317508205 \tabularnewline
0.02 & 7.41870771820556 & 0.102615403930200 \tabularnewline
0.03 & 7.4830974776569 & 0.0483142835910627 \tabularnewline
0.04 & 7.51702336021123 & 0.0277804246893872 \tabularnewline
0.05 & 7.5353469382807 & 0.0245551963917261 \tabularnewline
0.06 & 7.54806977031314 & 0.0256813325425821 \tabularnewline
0.07 & 7.5592784621229 & 0.0274447328175269 \tabularnewline
0.08 & 7.57021002266417 & 0.0294268095369041 \tabularnewline
0.09 & 7.58119153469631 & 0.0316276800147071 \tabularnewline
0.1 & 7.59231924540738 & 0.0338838164686572 \tabularnewline
0.11 & 7.60359971332542 & 0.0358911483738796 \tabularnewline
0.12 & 7.61496084220119 & 0.0373221357291141 \tabularnewline
0.13 & 7.62626580343355 & 0.037981883688951 \tabularnewline
0.14 & 7.63735065889897 & 0.0378483862690416 \tabularnewline
0.15 & 7.64807529711311 & 0.0371590385468364 \tabularnewline
0.16 & 7.65837383648538 & 0.0363147469703946 \tabularnewline
0.17 & 7.66829513950779 & 0.0358920918973131 \tabularnewline
0.18 & 7.67802962338643 & 0.03662331425801 \tabularnewline
0.19 & 7.68792199807094 & 0.0393379880559717 \tabularnewline
0.2 & 7.69846989264335 & 0.0448420418817829 \tabularnewline
0.21 & 7.7103065340916 & 0.053797300229405 \tabularnewline
0.22 & 7.72416392004201 & 0.0665596564562114 \tabularnewline
0.23 & 7.7408134167548 & 0.0831248820898634 \tabularnewline
0.24 & 7.76098441106779 & 0.102994364573981 \tabularnewline
0.25 & 7.78526791735413 & 0.125218923593756 \tabularnewline
0.26 & 7.81401882348313 & 0.148400979389985 \tabularnewline
0.27 & 7.84727503607689 & 0.170798203897006 \tabularnewline
0.28 & 7.88471187976414 & 0.190558874981314 \tabularnewline
0.29 & 7.92564487817521 & 0.206001982841908 \tabularnewline
0.3 & 7.9690845529603 & 0.215839825215749 \tabularnewline
0.31 & 8.01383576522183 & 0.219367307973838 \tabularnewline
0.32 & 8.0586246537951 & 0.216545725445619 \tabularnewline
0.33 & 8.10223107128121 & 0.207995408658656 \tabularnewline
0.34 & 8.14360474941454 & 0.194797129791722 \tabularnewline
0.35 & 8.18194863320438 & 0.178393949399208 \tabularnewline
0.36 & 8.21676094846297 & 0.160253137753070 \tabularnewline
0.37 & 8.24783614328077 & 0.141827983585843 \tabularnewline
0.38 & 8.27523176464377 & 0.124273560660235 \tabularnewline
0.39 & 8.29921240555325 & 0.108496448706633 \tabularnewline
0.4 & 8.32018292056246 & 0.0950143392316369 \tabularnewline
0.41 & 8.33862176760182 & 0.0840818905071903 \tabularnewline
0.42 & 8.35502256031917 & 0.0756538368242984 \tabularnewline
0.43 & 8.36984866023325 & 0.0694326306709142 \tabularnewline
0.44 & 8.38350261329504 & 0.0650817290009307 \tabularnewline
0.45 & 8.39630985164677 & 0.062102860084341 \tabularnewline
0.46 & 8.40851449533486 & 0.0600561138707349 \tabularnewline
0.47 & 8.4202842851702 & 0.0585821414530867 \tabularnewline
0.48 & 8.43172153744923 & 0.0573551374262385 \tabularnewline
0.49 & 8.44287735285432 & 0.0561800877564825 \tabularnewline
0.5 & 8.4537669221446 & 0.0549221474022198 \tabularnewline
0.51 & 8.46438443664501 & 0.0535148034002798 \tabularnewline
0.52 & 8.47471665850522 & 0.0519754174183181 \tabularnewline
0.53 & 8.4847545393598 & 0.050334237754414 \tabularnewline
0.54 & 8.49450240031895 & 0.0487137876942838 \tabularnewline
0.55 & 8.50398419280083 & 0.0472186574593106 \tabularnewline
0.56 & 8.51324638553226 & 0.0460015795199191 \tabularnewline
0.57 & 8.52235719073468 & 0.045175834485361 \tabularnewline
0.58 & 8.5314022061235 & 0.0448576526261356 \tabularnewline
0.59 & 8.54047706664428 & 0.0450458917942724 \tabularnewline
0.6 & 8.54967824234526 & 0.0457777220539107 \tabularnewline
0.61 & 8.55909351600193 & 0.0469023481137481 \tabularnewline
0.62 & 8.568793776139 & 0.0483248870482294 \tabularnewline
0.63 & 8.57882749653533 & 0.0498864186879458 \tabularnewline
0.64 & 8.58921868214472 & 0.0514455149837799 \tabularnewline
0.65 & 8.59996829078601 & 0.0528680905664683 \tabularnewline
0.66 & 8.61105840298047 & 0.054100411317476 \tabularnewline
0.67 & 8.62245792118874 & 0.0550789903781657 \tabularnewline
0.68 & 8.63412847381519 & 0.0558162762247057 \tabularnewline
0.69 & 8.64602949088694 & 0.0562993919430954 \tabularnewline
0.7 & 8.65812197625529 & 0.0565617676300324 \tabularnewline
0.71 & 8.6703710860376 & 0.0566348380506775 \tabularnewline
0.72 & 8.68274797117653 & 0.056527746276088 \tabularnewline
0.73 & 8.69523128028223 & 0.0562820039897629 \tabularnewline
0.74 & 8.70780827128769 & 0.0559309151017824 \tabularnewline
0.75 & 8.7204749138579 & 0.0555369886065984 \tabularnewline
0.76 & 8.7332341225266 & 0.0551244200454724 \tabularnewline
0.77 & 8.74609176202025 & 0.0547113539241762 \tabularnewline
0.78 & 8.75905141066241 & 0.0543046835703787 \tabularnewline
0.79 & 8.77211057772628 & 0.0538345726508239 \tabularnewline
0.8 & 8.78526207191753 & 0.0532353924250007 \tabularnewline
0.81 & 8.79850323769413 & 0.0524883845771794 \tabularnewline
0.82 & 8.81185215649505 & 0.0516534253889446 \tabularnewline
0.83 & 8.8253645047777 & 0.0509215822710329 \tabularnewline
0.84 & 8.83914024743153 & 0.0505358740154915 \tabularnewline
0.85 & 8.85330929554562 & 0.0506884595972086 \tabularnewline
0.86 & 8.86799193918662 & 0.0513142615931437 \tabularnewline
0.87 & 8.8832419016825 & 0.0520540718864439 \tabularnewline
0.88 & 8.89899174102002 & 0.0522944360566876 \tabularnewline
0.89 & 8.91502509326824 & 0.0514401349916202 \tabularnewline
0.9 & 8.9309941297193 & 0.0490901393789198 \tabularnewline
0.91 & 8.94648564452395 & 0.0452159774951885 \tabularnewline
0.92 & 8.96112131133948 & 0.0401370948146866 \tabularnewline
0.93 & 8.97466337152371 & 0.034477676623569 \tabularnewline
0.94 & 8.98709697797173 & 0.0290000648959505 \tabularnewline
0.95 & 8.99869621733145 & 0.0243609617462826 \tabularnewline
0.96 & 9.0101542715814 & 0.020971709753946 \tabularnewline
0.97 & 9.02280841682763 & 0.0195874873904624 \tabularnewline
0.98 & 9.03835537613593 & 0.0225109531714973 \tabularnewline
0.99 & 9.05635094125413 & 0.031013843469429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82515&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]7.32258504902203[/C][C]0.190263317508205[/C][/ROW]
[ROW][C]0.02[/C][C]7.41870771820556[/C][C]0.102615403930200[/C][/ROW]
[ROW][C]0.03[/C][C]7.4830974776569[/C][C]0.0483142835910627[/C][/ROW]
[ROW][C]0.04[/C][C]7.51702336021123[/C][C]0.0277804246893872[/C][/ROW]
[ROW][C]0.05[/C][C]7.5353469382807[/C][C]0.0245551963917261[/C][/ROW]
[ROW][C]0.06[/C][C]7.54806977031314[/C][C]0.0256813325425821[/C][/ROW]
[ROW][C]0.07[/C][C]7.5592784621229[/C][C]0.0274447328175269[/C][/ROW]
[ROW][C]0.08[/C][C]7.57021002266417[/C][C]0.0294268095369041[/C][/ROW]
[ROW][C]0.09[/C][C]7.58119153469631[/C][C]0.0316276800147071[/C][/ROW]
[ROW][C]0.1[/C][C]7.59231924540738[/C][C]0.0338838164686572[/C][/ROW]
[ROW][C]0.11[/C][C]7.60359971332542[/C][C]0.0358911483738796[/C][/ROW]
[ROW][C]0.12[/C][C]7.61496084220119[/C][C]0.0373221357291141[/C][/ROW]
[ROW][C]0.13[/C][C]7.62626580343355[/C][C]0.037981883688951[/C][/ROW]
[ROW][C]0.14[/C][C]7.63735065889897[/C][C]0.0378483862690416[/C][/ROW]
[ROW][C]0.15[/C][C]7.64807529711311[/C][C]0.0371590385468364[/C][/ROW]
[ROW][C]0.16[/C][C]7.65837383648538[/C][C]0.0363147469703946[/C][/ROW]
[ROW][C]0.17[/C][C]7.66829513950779[/C][C]0.0358920918973131[/C][/ROW]
[ROW][C]0.18[/C][C]7.67802962338643[/C][C]0.03662331425801[/C][/ROW]
[ROW][C]0.19[/C][C]7.68792199807094[/C][C]0.0393379880559717[/C][/ROW]
[ROW][C]0.2[/C][C]7.69846989264335[/C][C]0.0448420418817829[/C][/ROW]
[ROW][C]0.21[/C][C]7.7103065340916[/C][C]0.053797300229405[/C][/ROW]
[ROW][C]0.22[/C][C]7.72416392004201[/C][C]0.0665596564562114[/C][/ROW]
[ROW][C]0.23[/C][C]7.7408134167548[/C][C]0.0831248820898634[/C][/ROW]
[ROW][C]0.24[/C][C]7.76098441106779[/C][C]0.102994364573981[/C][/ROW]
[ROW][C]0.25[/C][C]7.78526791735413[/C][C]0.125218923593756[/C][/ROW]
[ROW][C]0.26[/C][C]7.81401882348313[/C][C]0.148400979389985[/C][/ROW]
[ROW][C]0.27[/C][C]7.84727503607689[/C][C]0.170798203897006[/C][/ROW]
[ROW][C]0.28[/C][C]7.88471187976414[/C][C]0.190558874981314[/C][/ROW]
[ROW][C]0.29[/C][C]7.92564487817521[/C][C]0.206001982841908[/C][/ROW]
[ROW][C]0.3[/C][C]7.9690845529603[/C][C]0.215839825215749[/C][/ROW]
[ROW][C]0.31[/C][C]8.01383576522183[/C][C]0.219367307973838[/C][/ROW]
[ROW][C]0.32[/C][C]8.0586246537951[/C][C]0.216545725445619[/C][/ROW]
[ROW][C]0.33[/C][C]8.10223107128121[/C][C]0.207995408658656[/C][/ROW]
[ROW][C]0.34[/C][C]8.14360474941454[/C][C]0.194797129791722[/C][/ROW]
[ROW][C]0.35[/C][C]8.18194863320438[/C][C]0.178393949399208[/C][/ROW]
[ROW][C]0.36[/C][C]8.21676094846297[/C][C]0.160253137753070[/C][/ROW]
[ROW][C]0.37[/C][C]8.24783614328077[/C][C]0.141827983585843[/C][/ROW]
[ROW][C]0.38[/C][C]8.27523176464377[/C][C]0.124273560660235[/C][/ROW]
[ROW][C]0.39[/C][C]8.29921240555325[/C][C]0.108496448706633[/C][/ROW]
[ROW][C]0.4[/C][C]8.32018292056246[/C][C]0.0950143392316369[/C][/ROW]
[ROW][C]0.41[/C][C]8.33862176760182[/C][C]0.0840818905071903[/C][/ROW]
[ROW][C]0.42[/C][C]8.35502256031917[/C][C]0.0756538368242984[/C][/ROW]
[ROW][C]0.43[/C][C]8.36984866023325[/C][C]0.0694326306709142[/C][/ROW]
[ROW][C]0.44[/C][C]8.38350261329504[/C][C]0.0650817290009307[/C][/ROW]
[ROW][C]0.45[/C][C]8.39630985164677[/C][C]0.062102860084341[/C][/ROW]
[ROW][C]0.46[/C][C]8.40851449533486[/C][C]0.0600561138707349[/C][/ROW]
[ROW][C]0.47[/C][C]8.4202842851702[/C][C]0.0585821414530867[/C][/ROW]
[ROW][C]0.48[/C][C]8.43172153744923[/C][C]0.0573551374262385[/C][/ROW]
[ROW][C]0.49[/C][C]8.44287735285432[/C][C]0.0561800877564825[/C][/ROW]
[ROW][C]0.5[/C][C]8.4537669221446[/C][C]0.0549221474022198[/C][/ROW]
[ROW][C]0.51[/C][C]8.46438443664501[/C][C]0.0535148034002798[/C][/ROW]
[ROW][C]0.52[/C][C]8.47471665850522[/C][C]0.0519754174183181[/C][/ROW]
[ROW][C]0.53[/C][C]8.4847545393598[/C][C]0.050334237754414[/C][/ROW]
[ROW][C]0.54[/C][C]8.49450240031895[/C][C]0.0487137876942838[/C][/ROW]
[ROW][C]0.55[/C][C]8.50398419280083[/C][C]0.0472186574593106[/C][/ROW]
[ROW][C]0.56[/C][C]8.51324638553226[/C][C]0.0460015795199191[/C][/ROW]
[ROW][C]0.57[/C][C]8.52235719073468[/C][C]0.045175834485361[/C][/ROW]
[ROW][C]0.58[/C][C]8.5314022061235[/C][C]0.0448576526261356[/C][/ROW]
[ROW][C]0.59[/C][C]8.54047706664428[/C][C]0.0450458917942724[/C][/ROW]
[ROW][C]0.6[/C][C]8.54967824234526[/C][C]0.0457777220539107[/C][/ROW]
[ROW][C]0.61[/C][C]8.55909351600193[/C][C]0.0469023481137481[/C][/ROW]
[ROW][C]0.62[/C][C]8.568793776139[/C][C]0.0483248870482294[/C][/ROW]
[ROW][C]0.63[/C][C]8.57882749653533[/C][C]0.0498864186879458[/C][/ROW]
[ROW][C]0.64[/C][C]8.58921868214472[/C][C]0.0514455149837799[/C][/ROW]
[ROW][C]0.65[/C][C]8.59996829078601[/C][C]0.0528680905664683[/C][/ROW]
[ROW][C]0.66[/C][C]8.61105840298047[/C][C]0.054100411317476[/C][/ROW]
[ROW][C]0.67[/C][C]8.62245792118874[/C][C]0.0550789903781657[/C][/ROW]
[ROW][C]0.68[/C][C]8.63412847381519[/C][C]0.0558162762247057[/C][/ROW]
[ROW][C]0.69[/C][C]8.64602949088694[/C][C]0.0562993919430954[/C][/ROW]
[ROW][C]0.7[/C][C]8.65812197625529[/C][C]0.0565617676300324[/C][/ROW]
[ROW][C]0.71[/C][C]8.6703710860376[/C][C]0.0566348380506775[/C][/ROW]
[ROW][C]0.72[/C][C]8.68274797117653[/C][C]0.056527746276088[/C][/ROW]
[ROW][C]0.73[/C][C]8.69523128028223[/C][C]0.0562820039897629[/C][/ROW]
[ROW][C]0.74[/C][C]8.70780827128769[/C][C]0.0559309151017824[/C][/ROW]
[ROW][C]0.75[/C][C]8.7204749138579[/C][C]0.0555369886065984[/C][/ROW]
[ROW][C]0.76[/C][C]8.7332341225266[/C][C]0.0551244200454724[/C][/ROW]
[ROW][C]0.77[/C][C]8.74609176202025[/C][C]0.0547113539241762[/C][/ROW]
[ROW][C]0.78[/C][C]8.75905141066241[/C][C]0.0543046835703787[/C][/ROW]
[ROW][C]0.79[/C][C]8.77211057772628[/C][C]0.0538345726508239[/C][/ROW]
[ROW][C]0.8[/C][C]8.78526207191753[/C][C]0.0532353924250007[/C][/ROW]
[ROW][C]0.81[/C][C]8.79850323769413[/C][C]0.0524883845771794[/C][/ROW]
[ROW][C]0.82[/C][C]8.81185215649505[/C][C]0.0516534253889446[/C][/ROW]
[ROW][C]0.83[/C][C]8.8253645047777[/C][C]0.0509215822710329[/C][/ROW]
[ROW][C]0.84[/C][C]8.83914024743153[/C][C]0.0505358740154915[/C][/ROW]
[ROW][C]0.85[/C][C]8.85330929554562[/C][C]0.0506884595972086[/C][/ROW]
[ROW][C]0.86[/C][C]8.86799193918662[/C][C]0.0513142615931437[/C][/ROW]
[ROW][C]0.87[/C][C]8.8832419016825[/C][C]0.0520540718864439[/C][/ROW]
[ROW][C]0.88[/C][C]8.89899174102002[/C][C]0.0522944360566876[/C][/ROW]
[ROW][C]0.89[/C][C]8.91502509326824[/C][C]0.0514401349916202[/C][/ROW]
[ROW][C]0.9[/C][C]8.9309941297193[/C][C]0.0490901393789198[/C][/ROW]
[ROW][C]0.91[/C][C]8.94648564452395[/C][C]0.0452159774951885[/C][/ROW]
[ROW][C]0.92[/C][C]8.96112131133948[/C][C]0.0401370948146866[/C][/ROW]
[ROW][C]0.93[/C][C]8.97466337152371[/C][C]0.034477676623569[/C][/ROW]
[ROW][C]0.94[/C][C]8.98709697797173[/C][C]0.0290000648959505[/C][/ROW]
[ROW][C]0.95[/C][C]8.99869621733145[/C][C]0.0243609617462826[/C][/ROW]
[ROW][C]0.96[/C][C]9.0101542715814[/C][C]0.020971709753946[/C][/ROW]
[ROW][C]0.97[/C][C]9.02280841682763[/C][C]0.0195874873904624[/C][/ROW]
[ROW][C]0.98[/C][C]9.03835537613593[/C][C]0.0225109531714973[/C][/ROW]
[ROW][C]0.99[/C][C]9.05635094125413[/C][C]0.031013843469429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82515&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
0.017.322585049022030.190263317508205
0.027.418707718205560.102615403930200
0.037.48309747765690.0483142835910627
0.047.517023360211230.0277804246893872
0.057.53534693828070.0245551963917261
0.067.548069770313140.0256813325425821
0.077.55927846212290.0274447328175269
0.087.570210022664170.0294268095369041
0.097.581191534696310.0316276800147071
0.17.592319245407380.0338838164686572
0.117.603599713325420.0358911483738796
0.127.614960842201190.0373221357291141
0.137.626265803433550.037981883688951
0.147.637350658898970.0378483862690416
0.157.648075297113110.0371590385468364
0.167.658373836485380.0363147469703946
0.177.668295139507790.0358920918973131
0.187.678029623386430.03662331425801
0.197.687921998070940.0393379880559717
0.27.698469892643350.0448420418817829
0.217.71030653409160.053797300229405
0.227.724163920042010.0665596564562114
0.237.74081341675480.0831248820898634
0.247.760984411067790.102994364573981
0.257.785267917354130.125218923593756
0.267.814018823483130.148400979389985
0.277.847275036076890.170798203897006
0.287.884711879764140.190558874981314
0.297.925644878175210.206001982841908
0.37.96908455296030.215839825215749
0.318.013835765221830.219367307973838
0.328.05862465379510.216545725445619
0.338.102231071281210.207995408658656
0.348.143604749414540.194797129791722
0.358.181948633204380.178393949399208
0.368.216760948462970.160253137753070
0.378.247836143280770.141827983585843
0.388.275231764643770.124273560660235
0.398.299212405553250.108496448706633
0.48.320182920562460.0950143392316369
0.418.338621767601820.0840818905071903
0.428.355022560319170.0756538368242984
0.438.369848660233250.0694326306709142
0.448.383502613295040.0650817290009307
0.458.396309851646770.062102860084341
0.468.408514495334860.0600561138707349
0.478.42028428517020.0585821414530867
0.488.431721537449230.0573551374262385
0.498.442877352854320.0561800877564825
0.58.45376692214460.0549221474022198
0.518.464384436645010.0535148034002798
0.528.474716658505220.0519754174183181
0.538.48475453935980.050334237754414
0.548.494502400318950.0487137876942838
0.558.503984192800830.0472186574593106
0.568.513246385532260.0460015795199191
0.578.522357190734680.045175834485361
0.588.53140220612350.0448576526261356
0.598.540477066644280.0450458917942724
0.68.549678242345260.0457777220539107
0.618.559093516001930.0469023481137481
0.628.5687937761390.0483248870482294
0.638.578827496535330.0498864186879458
0.648.589218682144720.0514455149837799
0.658.599968290786010.0528680905664683
0.668.611058402980470.054100411317476
0.678.622457921188740.0550789903781657
0.688.634128473815190.0558162762247057
0.698.646029490886940.0562993919430954
0.78.658121976255290.0565617676300324
0.718.67037108603760.0566348380506775
0.728.682747971176530.056527746276088
0.738.695231280282230.0562820039897629
0.748.707808271287690.0559309151017824
0.758.72047491385790.0555369886065984
0.768.73323412252660.0551244200454724
0.778.746091762020250.0547113539241762
0.788.759051410662410.0543046835703787
0.798.772110577726280.0538345726508239
0.88.785262071917530.0532353924250007
0.818.798503237694130.0524883845771794
0.828.811852156495050.0516534253889446
0.838.82536450477770.0509215822710329
0.848.839140247431530.0505358740154915
0.858.853309295545620.0506884595972086
0.868.867991939186620.0513142615931437
0.878.88324190168250.0520540718864439
0.888.898991741020020.0522944360566876
0.898.915025093268240.0514401349916202
0.98.93099412971930.0490901393789198
0.918.946485644523950.0452159774951885
0.928.961121311339480.0401370948146866
0.938.974663371523710.034477676623569
0.948.987096977971730.0290000648959505
0.958.998696217331450.0243609617462826
0.969.01015427158140.020971709753946
0.979.022808416827630.0195874873904624
0.989.038355376135930.0225109531714973
0.999.056350941254130.031013843469429


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')