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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 14:38:54 +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/t128680787074za0gdzu81gxr8.htm/, Retrieved Thu, 18 Apr 2024 21:00:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82511, Retrieved Thu, 18 Apr 2024 21:00:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact79

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] [Harrel Davis gebr...] [2010-10-11 14:38:54] [a8c08f114ed6b33170d4a8ec3391edfe] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,08
7,08
7,09
7,07
7,06
6,99
6,99
6,99
6,98
6,96
6,95
6,91
6,91
6,87
6,91
6,89
6,88
6,9
6,91
6,85
6,86
6,82
6,8
6,83
6,84
6,89
7,14
7,21
7,25
7,31
7,3
7,48
7,49
7,4
7,44
7,42
7,14
7,24
7,33
7,61
7,66
7,69
7,7
7,68
7,71
7,71
7,72
7,68
7,72
7,74
7,76
7,9
7,97
7,96
7,95
7,97
7,93
7,99
7,96
7,92
7,97
7,98
8
8,04
8,17
8,29
8,26
8,3
8,32
8,28
8,27
8,32
8,31
8,34
8,32
8,36
8,33
8,35
8,34
8,37
8,31
8,33
8,34
8,25

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=82511&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=82511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82511&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
0.016.80754460294420.0170595445161707
0.026.818336863198970.0150728738170744
0.036.828749648383430.0151941565075033
0.046.8380549161510.0163502458702792
0.056.846632822439540.0176000791565671
0.066.854793840596950.0185347088336433
0.076.862617422552030.0190240648534399
0.086.870077468604920.0191212648536138
0.096.877146919859130.0190039347515311
0.16.883850208323580.0189474937613608
0.116.890282158147050.0192694538144917
0.126.896605082746260.0202679036788190
0.136.903030179771110.0221353105862296
0.146.90978853187450.024916507457685
0.156.917097993450270.0284854456432708
0.166.925133293775190.0325794489641056
0.176.934006427237220.0369073963680296
0.186.943761843189160.0412122078794366
0.196.954386480308440.0453339419986612
0.26.965830149578470.0492059259920977
0.216.978029262707190.0528963696627891
0.226.990927386231830.0564732186099551
0.237.004488851096730.060059815605904
0.247.018704894813980.0637477811104322
0.257.033593944107740.0676420328720561
0.267.049198080503820.071831913990245
0.277.065577002063560.076396877497916
0.287.082799947640960.081380493295772
0.297.100935882292910.0867446139447091
0.37.12004286018260.0924005189188299
0.317.14015836629230.0981917229325057
0.327.16129286990980.103929013649823
0.337.18342834303520.109456553964523
0.347.206522153898490.114665789170309
0.357.230515033652750.119506626724641
0.367.255340400339690.123981279384663
0.377.280931741676790.128157185825061
0.387.307225211999950.132072359700547
0.397.334155939587120.135710957498416
0.47.3616483714490.139012683604446
0.417.389602815053770.141780040575813
0.427.417881725290630.143775628426422
0.437.44629990971880.144681969914677
0.447.474622524615680.144189050657726
0.457.50257351820390.142082817536797
0.467.52985522803440.138246142970715
0.477.556177498664410.13275250109471
0.487.581292411093790.125906542477314
0.497.605028997826090.118175546923857
0.57.627321572323130.110193932950278
0.517.648225765013570.10268823505916
0.527.66791802260920.0963891643663078
0.537.686676939663520.091907714520835
0.547.70484790553160.0895979196769497
0.557.722795617798170.0894771955184146
0.567.740851480457870.091177269847731
0.577.759264298725010.0940410208970072
0.587.778162685508620.097227726398952
0.597.797536110008960.0998885216597858
0.67.81723871405830.101289771682162
0.617.837016335397990.100926038407370
0.627.856553260920350.0986015133978665
0.637.875531820242730.0944194161591937
0.647.893695654770980.0888568395872258
0.657.91090672558110.0826274873167137
0.667.927186869634540.0766655183395685
0.677.942736690624810.0719898923464373
0.687.957927356505570.0695922020994187
0.697.973264118573810.0702035777732903
0.77.989323905524220.0740790876636685
0.718.006673153904080.08086839791258
0.728.025775989753960.0896990966395627
0.738.046906463086860.0993056395254345
0.748.070080718125670.108294075178913
0.758.09502439227450.115232420048817
0.768.121186065726570.11893183756842
0.778.147799145548230.118624351860399
0.788.173983657032660.114082200620459
0.798.198869025180880.105678449796220
0.88.221712653040070.094305662712201
0.818.241989656626370.0811784852850285
0.828.259436941645450.067580254308168
0.838.274047531514450.0546476365634475
0.848.286024231833740.0431891554793624
0.858.295710642091630.0336473849612987
0.868.303519316240380.0261216708505203
0.878.309871764587120.0204647268319858
0.888.315156222920610.016408197108912
0.898.319701472043120.0136344970416963
0.98.32376258559740.0117959504611055
0.918.327518532235620.0105405072237737
0.928.331088653557040.00955949068250117
0.938.3345768505660.00870281432638348
0.948.338139135826920.00807517013397824
0.958.342041251116970.0080327387998157
0.968.346647887171830.00875928633355821
0.978.35228778135390.00976726995063236
0.988.358935699200860.0101853960443053
0.998.365623079550950.00991656111025234

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.8075446029442 & 0.0170595445161707 \tabularnewline
0.02 & 6.81833686319897 & 0.0150728738170744 \tabularnewline
0.03 & 6.82874964838343 & 0.0151941565075033 \tabularnewline
0.04 & 6.838054916151 & 0.0163502458702792 \tabularnewline
0.05 & 6.84663282243954 & 0.0176000791565671 \tabularnewline
0.06 & 6.85479384059695 & 0.0185347088336433 \tabularnewline
0.07 & 6.86261742255203 & 0.0190240648534399 \tabularnewline
0.08 & 6.87007746860492 & 0.0191212648536138 \tabularnewline
0.09 & 6.87714691985913 & 0.0190039347515311 \tabularnewline
0.1 & 6.88385020832358 & 0.0189474937613608 \tabularnewline
0.11 & 6.89028215814705 & 0.0192694538144917 \tabularnewline
0.12 & 6.89660508274626 & 0.0202679036788190 \tabularnewline
0.13 & 6.90303017977111 & 0.0221353105862296 \tabularnewline
0.14 & 6.9097885318745 & 0.024916507457685 \tabularnewline
0.15 & 6.91709799345027 & 0.0284854456432708 \tabularnewline
0.16 & 6.92513329377519 & 0.0325794489641056 \tabularnewline
0.17 & 6.93400642723722 & 0.0369073963680296 \tabularnewline
0.18 & 6.94376184318916 & 0.0412122078794366 \tabularnewline
0.19 & 6.95438648030844 & 0.0453339419986612 \tabularnewline
0.2 & 6.96583014957847 & 0.0492059259920977 \tabularnewline
0.21 & 6.97802926270719 & 0.0528963696627891 \tabularnewline
0.22 & 6.99092738623183 & 0.0564732186099551 \tabularnewline
0.23 & 7.00448885109673 & 0.060059815605904 \tabularnewline
0.24 & 7.01870489481398 & 0.0637477811104322 \tabularnewline
0.25 & 7.03359394410774 & 0.0676420328720561 \tabularnewline
0.26 & 7.04919808050382 & 0.071831913990245 \tabularnewline
0.27 & 7.06557700206356 & 0.076396877497916 \tabularnewline
0.28 & 7.08279994764096 & 0.081380493295772 \tabularnewline
0.29 & 7.10093588229291 & 0.0867446139447091 \tabularnewline
0.3 & 7.1200428601826 & 0.0924005189188299 \tabularnewline
0.31 & 7.1401583662923 & 0.0981917229325057 \tabularnewline
0.32 & 7.1612928699098 & 0.103929013649823 \tabularnewline
0.33 & 7.1834283430352 & 0.109456553964523 \tabularnewline
0.34 & 7.20652215389849 & 0.114665789170309 \tabularnewline
0.35 & 7.23051503365275 & 0.119506626724641 \tabularnewline
0.36 & 7.25534040033969 & 0.123981279384663 \tabularnewline
0.37 & 7.28093174167679 & 0.128157185825061 \tabularnewline
0.38 & 7.30722521199995 & 0.132072359700547 \tabularnewline
0.39 & 7.33415593958712 & 0.135710957498416 \tabularnewline
0.4 & 7.361648371449 & 0.139012683604446 \tabularnewline
0.41 & 7.38960281505377 & 0.141780040575813 \tabularnewline
0.42 & 7.41788172529063 & 0.143775628426422 \tabularnewline
0.43 & 7.4462999097188 & 0.144681969914677 \tabularnewline
0.44 & 7.47462252461568 & 0.144189050657726 \tabularnewline
0.45 & 7.5025735182039 & 0.142082817536797 \tabularnewline
0.46 & 7.5298552280344 & 0.138246142970715 \tabularnewline
0.47 & 7.55617749866441 & 0.13275250109471 \tabularnewline
0.48 & 7.58129241109379 & 0.125906542477314 \tabularnewline
0.49 & 7.60502899782609 & 0.118175546923857 \tabularnewline
0.5 & 7.62732157232313 & 0.110193932950278 \tabularnewline
0.51 & 7.64822576501357 & 0.10268823505916 \tabularnewline
0.52 & 7.6679180226092 & 0.0963891643663078 \tabularnewline
0.53 & 7.68667693966352 & 0.091907714520835 \tabularnewline
0.54 & 7.7048479055316 & 0.0895979196769497 \tabularnewline
0.55 & 7.72279561779817 & 0.0894771955184146 \tabularnewline
0.56 & 7.74085148045787 & 0.091177269847731 \tabularnewline
0.57 & 7.75926429872501 & 0.0940410208970072 \tabularnewline
0.58 & 7.77816268550862 & 0.097227726398952 \tabularnewline
0.59 & 7.79753611000896 & 0.0998885216597858 \tabularnewline
0.6 & 7.8172387140583 & 0.101289771682162 \tabularnewline
0.61 & 7.83701633539799 & 0.100926038407370 \tabularnewline
0.62 & 7.85655326092035 & 0.0986015133978665 \tabularnewline
0.63 & 7.87553182024273 & 0.0944194161591937 \tabularnewline
0.64 & 7.89369565477098 & 0.0888568395872258 \tabularnewline
0.65 & 7.9109067255811 & 0.0826274873167137 \tabularnewline
0.66 & 7.92718686963454 & 0.0766655183395685 \tabularnewline
0.67 & 7.94273669062481 & 0.0719898923464373 \tabularnewline
0.68 & 7.95792735650557 & 0.0695922020994187 \tabularnewline
0.69 & 7.97326411857381 & 0.0702035777732903 \tabularnewline
0.7 & 7.98932390552422 & 0.0740790876636685 \tabularnewline
0.71 & 8.00667315390408 & 0.08086839791258 \tabularnewline
0.72 & 8.02577598975396 & 0.0896990966395627 \tabularnewline
0.73 & 8.04690646308686 & 0.0993056395254345 \tabularnewline
0.74 & 8.07008071812567 & 0.108294075178913 \tabularnewline
0.75 & 8.0950243922745 & 0.115232420048817 \tabularnewline
0.76 & 8.12118606572657 & 0.11893183756842 \tabularnewline
0.77 & 8.14779914554823 & 0.118624351860399 \tabularnewline
0.78 & 8.17398365703266 & 0.114082200620459 \tabularnewline
0.79 & 8.19886902518088 & 0.105678449796220 \tabularnewline
0.8 & 8.22171265304007 & 0.094305662712201 \tabularnewline
0.81 & 8.24198965662637 & 0.0811784852850285 \tabularnewline
0.82 & 8.25943694164545 & 0.067580254308168 \tabularnewline
0.83 & 8.27404753151445 & 0.0546476365634475 \tabularnewline
0.84 & 8.28602423183374 & 0.0431891554793624 \tabularnewline
0.85 & 8.29571064209163 & 0.0336473849612987 \tabularnewline
0.86 & 8.30351931624038 & 0.0261216708505203 \tabularnewline
0.87 & 8.30987176458712 & 0.0204647268319858 \tabularnewline
0.88 & 8.31515622292061 & 0.016408197108912 \tabularnewline
0.89 & 8.31970147204312 & 0.0136344970416963 \tabularnewline
0.9 & 8.3237625855974 & 0.0117959504611055 \tabularnewline
0.91 & 8.32751853223562 & 0.0105405072237737 \tabularnewline
0.92 & 8.33108865355704 & 0.00955949068250117 \tabularnewline
0.93 & 8.334576850566 & 0.00870281432638348 \tabularnewline
0.94 & 8.33813913582692 & 0.00807517013397824 \tabularnewline
0.95 & 8.34204125111697 & 0.0080327387998157 \tabularnewline
0.96 & 8.34664788717183 & 0.00875928633355821 \tabularnewline
0.97 & 8.3522877813539 & 0.00976726995063236 \tabularnewline
0.98 & 8.35893569920086 & 0.0101853960443053 \tabularnewline
0.99 & 8.36562307955095 & 0.00991656111025234 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82511&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]6.8075446029442[/C][C]0.0170595445161707[/C][/ROW]
[ROW][C]0.02[/C][C]6.81833686319897[/C][C]0.0150728738170744[/C][/ROW]
[ROW][C]0.03[/C][C]6.82874964838343[/C][C]0.0151941565075033[/C][/ROW]
[ROW][C]0.04[/C][C]6.838054916151[/C][C]0.0163502458702792[/C][/ROW]
[ROW][C]0.05[/C][C]6.84663282243954[/C][C]0.0176000791565671[/C][/ROW]
[ROW][C]0.06[/C][C]6.85479384059695[/C][C]0.0185347088336433[/C][/ROW]
[ROW][C]0.07[/C][C]6.86261742255203[/C][C]0.0190240648534399[/C][/ROW]
[ROW][C]0.08[/C][C]6.87007746860492[/C][C]0.0191212648536138[/C][/ROW]
[ROW][C]0.09[/C][C]6.87714691985913[/C][C]0.0190039347515311[/C][/ROW]
[ROW][C]0.1[/C][C]6.88385020832358[/C][C]0.0189474937613608[/C][/ROW]
[ROW][C]0.11[/C][C]6.89028215814705[/C][C]0.0192694538144917[/C][/ROW]
[ROW][C]0.12[/C][C]6.89660508274626[/C][C]0.0202679036788190[/C][/ROW]
[ROW][C]0.13[/C][C]6.90303017977111[/C][C]0.0221353105862296[/C][/ROW]
[ROW][C]0.14[/C][C]6.9097885318745[/C][C]0.024916507457685[/C][/ROW]
[ROW][C]0.15[/C][C]6.91709799345027[/C][C]0.0284854456432708[/C][/ROW]
[ROW][C]0.16[/C][C]6.92513329377519[/C][C]0.0325794489641056[/C][/ROW]
[ROW][C]0.17[/C][C]6.93400642723722[/C][C]0.0369073963680296[/C][/ROW]
[ROW][C]0.18[/C][C]6.94376184318916[/C][C]0.0412122078794366[/C][/ROW]
[ROW][C]0.19[/C][C]6.95438648030844[/C][C]0.0453339419986612[/C][/ROW]
[ROW][C]0.2[/C][C]6.96583014957847[/C][C]0.0492059259920977[/C][/ROW]
[ROW][C]0.21[/C][C]6.97802926270719[/C][C]0.0528963696627891[/C][/ROW]
[ROW][C]0.22[/C][C]6.99092738623183[/C][C]0.0564732186099551[/C][/ROW]
[ROW][C]0.23[/C][C]7.00448885109673[/C][C]0.060059815605904[/C][/ROW]
[ROW][C]0.24[/C][C]7.01870489481398[/C][C]0.0637477811104322[/C][/ROW]
[ROW][C]0.25[/C][C]7.03359394410774[/C][C]0.0676420328720561[/C][/ROW]
[ROW][C]0.26[/C][C]7.04919808050382[/C][C]0.071831913990245[/C][/ROW]
[ROW][C]0.27[/C][C]7.06557700206356[/C][C]0.076396877497916[/C][/ROW]
[ROW][C]0.28[/C][C]7.08279994764096[/C][C]0.081380493295772[/C][/ROW]
[ROW][C]0.29[/C][C]7.10093588229291[/C][C]0.0867446139447091[/C][/ROW]
[ROW][C]0.3[/C][C]7.1200428601826[/C][C]0.0924005189188299[/C][/ROW]
[ROW][C]0.31[/C][C]7.1401583662923[/C][C]0.0981917229325057[/C][/ROW]
[ROW][C]0.32[/C][C]7.1612928699098[/C][C]0.103929013649823[/C][/ROW]
[ROW][C]0.33[/C][C]7.1834283430352[/C][C]0.109456553964523[/C][/ROW]
[ROW][C]0.34[/C][C]7.20652215389849[/C][C]0.114665789170309[/C][/ROW]
[ROW][C]0.35[/C][C]7.23051503365275[/C][C]0.119506626724641[/C][/ROW]
[ROW][C]0.36[/C][C]7.25534040033969[/C][C]0.123981279384663[/C][/ROW]
[ROW][C]0.37[/C][C]7.28093174167679[/C][C]0.128157185825061[/C][/ROW]
[ROW][C]0.38[/C][C]7.30722521199995[/C][C]0.132072359700547[/C][/ROW]
[ROW][C]0.39[/C][C]7.33415593958712[/C][C]0.135710957498416[/C][/ROW]
[ROW][C]0.4[/C][C]7.361648371449[/C][C]0.139012683604446[/C][/ROW]
[ROW][C]0.41[/C][C]7.38960281505377[/C][C]0.141780040575813[/C][/ROW]
[ROW][C]0.42[/C][C]7.41788172529063[/C][C]0.143775628426422[/C][/ROW]
[ROW][C]0.43[/C][C]7.4462999097188[/C][C]0.144681969914677[/C][/ROW]
[ROW][C]0.44[/C][C]7.47462252461568[/C][C]0.144189050657726[/C][/ROW]
[ROW][C]0.45[/C][C]7.5025735182039[/C][C]0.142082817536797[/C][/ROW]
[ROW][C]0.46[/C][C]7.5298552280344[/C][C]0.138246142970715[/C][/ROW]
[ROW][C]0.47[/C][C]7.55617749866441[/C][C]0.13275250109471[/C][/ROW]
[ROW][C]0.48[/C][C]7.58129241109379[/C][C]0.125906542477314[/C][/ROW]
[ROW][C]0.49[/C][C]7.60502899782609[/C][C]0.118175546923857[/C][/ROW]
[ROW][C]0.5[/C][C]7.62732157232313[/C][C]0.110193932950278[/C][/ROW]
[ROW][C]0.51[/C][C]7.64822576501357[/C][C]0.10268823505916[/C][/ROW]
[ROW][C]0.52[/C][C]7.6679180226092[/C][C]0.0963891643663078[/C][/ROW]
[ROW][C]0.53[/C][C]7.68667693966352[/C][C]0.091907714520835[/C][/ROW]
[ROW][C]0.54[/C][C]7.7048479055316[/C][C]0.0895979196769497[/C][/ROW]
[ROW][C]0.55[/C][C]7.72279561779817[/C][C]0.0894771955184146[/C][/ROW]
[ROW][C]0.56[/C][C]7.74085148045787[/C][C]0.091177269847731[/C][/ROW]
[ROW][C]0.57[/C][C]7.75926429872501[/C][C]0.0940410208970072[/C][/ROW]
[ROW][C]0.58[/C][C]7.77816268550862[/C][C]0.097227726398952[/C][/ROW]
[ROW][C]0.59[/C][C]7.79753611000896[/C][C]0.0998885216597858[/C][/ROW]
[ROW][C]0.6[/C][C]7.8172387140583[/C][C]0.101289771682162[/C][/ROW]
[ROW][C]0.61[/C][C]7.83701633539799[/C][C]0.100926038407370[/C][/ROW]
[ROW][C]0.62[/C][C]7.85655326092035[/C][C]0.0986015133978665[/C][/ROW]
[ROW][C]0.63[/C][C]7.87553182024273[/C][C]0.0944194161591937[/C][/ROW]
[ROW][C]0.64[/C][C]7.89369565477098[/C][C]0.0888568395872258[/C][/ROW]
[ROW][C]0.65[/C][C]7.9109067255811[/C][C]0.0826274873167137[/C][/ROW]
[ROW][C]0.66[/C][C]7.92718686963454[/C][C]0.0766655183395685[/C][/ROW]
[ROW][C]0.67[/C][C]7.94273669062481[/C][C]0.0719898923464373[/C][/ROW]
[ROW][C]0.68[/C][C]7.95792735650557[/C][C]0.0695922020994187[/C][/ROW]
[ROW][C]0.69[/C][C]7.97326411857381[/C][C]0.0702035777732903[/C][/ROW]
[ROW][C]0.7[/C][C]7.98932390552422[/C][C]0.0740790876636685[/C][/ROW]
[ROW][C]0.71[/C][C]8.00667315390408[/C][C]0.08086839791258[/C][/ROW]
[ROW][C]0.72[/C][C]8.02577598975396[/C][C]0.0896990966395627[/C][/ROW]
[ROW][C]0.73[/C][C]8.04690646308686[/C][C]0.0993056395254345[/C][/ROW]
[ROW][C]0.74[/C][C]8.07008071812567[/C][C]0.108294075178913[/C][/ROW]
[ROW][C]0.75[/C][C]8.0950243922745[/C][C]0.115232420048817[/C][/ROW]
[ROW][C]0.76[/C][C]8.12118606572657[/C][C]0.11893183756842[/C][/ROW]
[ROW][C]0.77[/C][C]8.14779914554823[/C][C]0.118624351860399[/C][/ROW]
[ROW][C]0.78[/C][C]8.17398365703266[/C][C]0.114082200620459[/C][/ROW]
[ROW][C]0.79[/C][C]8.19886902518088[/C][C]0.105678449796220[/C][/ROW]
[ROW][C]0.8[/C][C]8.22171265304007[/C][C]0.094305662712201[/C][/ROW]
[ROW][C]0.81[/C][C]8.24198965662637[/C][C]0.0811784852850285[/C][/ROW]
[ROW][C]0.82[/C][C]8.25943694164545[/C][C]0.067580254308168[/C][/ROW]
[ROW][C]0.83[/C][C]8.27404753151445[/C][C]0.0546476365634475[/C][/ROW]
[ROW][C]0.84[/C][C]8.28602423183374[/C][C]0.0431891554793624[/C][/ROW]
[ROW][C]0.85[/C][C]8.29571064209163[/C][C]0.0336473849612987[/C][/ROW]
[ROW][C]0.86[/C][C]8.30351931624038[/C][C]0.0261216708505203[/C][/ROW]
[ROW][C]0.87[/C][C]8.30987176458712[/C][C]0.0204647268319858[/C][/ROW]
[ROW][C]0.88[/C][C]8.31515622292061[/C][C]0.016408197108912[/C][/ROW]
[ROW][C]0.89[/C][C]8.31970147204312[/C][C]0.0136344970416963[/C][/ROW]
[ROW][C]0.9[/C][C]8.3237625855974[/C][C]0.0117959504611055[/C][/ROW]
[ROW][C]0.91[/C][C]8.32751853223562[/C][C]0.0105405072237737[/C][/ROW]
[ROW][C]0.92[/C][C]8.33108865355704[/C][C]0.00955949068250117[/C][/ROW]
[ROW][C]0.93[/C][C]8.334576850566[/C][C]0.00870281432638348[/C][/ROW]
[ROW][C]0.94[/C][C]8.33813913582692[/C][C]0.00807517013397824[/C][/ROW]
[ROW][C]0.95[/C][C]8.34204125111697[/C][C]0.0080327387998157[/C][/ROW]
[ROW][C]0.96[/C][C]8.34664788717183[/C][C]0.00875928633355821[/C][/ROW]
[ROW][C]0.97[/C][C]8.3522877813539[/C][C]0.00976726995063236[/C][/ROW]
[ROW][C]0.98[/C][C]8.35893569920086[/C][C]0.0101853960443053[/C][/ROW]
[ROW][C]0.99[/C][C]8.36562307955095[/C][C]0.00991656111025234[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82511&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
0.016.80754460294420.0170595445161707
0.026.818336863198970.0150728738170744
0.036.828749648383430.0151941565075033
0.046.8380549161510.0163502458702792
0.056.846632822439540.0176000791565671
0.066.854793840596950.0185347088336433
0.076.862617422552030.0190240648534399
0.086.870077468604920.0191212648536138
0.096.877146919859130.0190039347515311
0.16.883850208323580.0189474937613608
0.116.890282158147050.0192694538144917
0.126.896605082746260.0202679036788190
0.136.903030179771110.0221353105862296
0.146.90978853187450.024916507457685
0.156.917097993450270.0284854456432708
0.166.925133293775190.0325794489641056
0.176.934006427237220.0369073963680296
0.186.943761843189160.0412122078794366
0.196.954386480308440.0453339419986612
0.26.965830149578470.0492059259920977
0.216.978029262707190.0528963696627891
0.226.990927386231830.0564732186099551
0.237.004488851096730.060059815605904
0.247.018704894813980.0637477811104322
0.257.033593944107740.0676420328720561
0.267.049198080503820.071831913990245
0.277.065577002063560.076396877497916
0.287.082799947640960.081380493295772
0.297.100935882292910.0867446139447091
0.37.12004286018260.0924005189188299
0.317.14015836629230.0981917229325057
0.327.16129286990980.103929013649823
0.337.18342834303520.109456553964523
0.347.206522153898490.114665789170309
0.357.230515033652750.119506626724641
0.367.255340400339690.123981279384663
0.377.280931741676790.128157185825061
0.387.307225211999950.132072359700547
0.397.334155939587120.135710957498416
0.47.3616483714490.139012683604446
0.417.389602815053770.141780040575813
0.427.417881725290630.143775628426422
0.437.44629990971880.144681969914677
0.447.474622524615680.144189050657726
0.457.50257351820390.142082817536797
0.467.52985522803440.138246142970715
0.477.556177498664410.13275250109471
0.487.581292411093790.125906542477314
0.497.605028997826090.118175546923857
0.57.627321572323130.110193932950278
0.517.648225765013570.10268823505916
0.527.66791802260920.0963891643663078
0.537.686676939663520.091907714520835
0.547.70484790553160.0895979196769497
0.557.722795617798170.0894771955184146
0.567.740851480457870.091177269847731
0.577.759264298725010.0940410208970072
0.587.778162685508620.097227726398952
0.597.797536110008960.0998885216597858
0.67.81723871405830.101289771682162
0.617.837016335397990.100926038407370
0.627.856553260920350.0986015133978665
0.637.875531820242730.0944194161591937
0.647.893695654770980.0888568395872258
0.657.91090672558110.0826274873167137
0.667.927186869634540.0766655183395685
0.677.942736690624810.0719898923464373
0.687.957927356505570.0695922020994187
0.697.973264118573810.0702035777732903
0.77.989323905524220.0740790876636685
0.718.006673153904080.08086839791258
0.728.025775989753960.0896990966395627
0.738.046906463086860.0993056395254345
0.748.070080718125670.108294075178913
0.758.09502439227450.115232420048817
0.768.121186065726570.11893183756842
0.778.147799145548230.118624351860399
0.788.173983657032660.114082200620459
0.798.198869025180880.105678449796220
0.88.221712653040070.094305662712201
0.818.241989656626370.0811784852850285
0.828.259436941645450.067580254308168
0.838.274047531514450.0546476365634475
0.848.286024231833740.0431891554793624
0.858.295710642091630.0336473849612987
0.868.303519316240380.0261216708505203
0.878.309871764587120.0204647268319858
0.888.315156222920610.016408197108912
0.898.319701472043120.0136344970416963
0.98.32376258559740.0117959504611055
0.918.327518532235620.0105405072237737
0.928.331088653557040.00955949068250117
0.938.3345768505660.00870281432638348
0.948.338139135826920.00807517013397824
0.958.342041251116970.0080327387998157
0.968.346647887171830.00875928633355821
0.978.35228778135390.00976726995063236
0.988.358935699200860.0101853960443053
0.998.365623079550950.00991656111025234


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')