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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 computationTue, 09 Oct 2012 08:02:54 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/09/t1349784215counj3n1iw5ista.htm/, Retrieved Wed, 01 May 2024 14:26:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174539, Retrieved Wed, 01 May 2024 14:26:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59

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 Pizz...] [2012-10-09 12:02:54] [fd7ec8291d4731160120df3dd57458b8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,66
7,53
7,54
7,56
7,57
7,56
7,57
7,61
7,61
7,6
7,61
7,61
7,62
7,7
7,73
7,75
7,76
7,76
7,77
7,79
7,79
7,79
7,83
7,83
7,88
7,95
8,01
8,05
8,1
8,1
8,16
8,18
8,2
7,99
8,01
8,02
8,03
8,04
8,07
8,08
8,08
8,1
8,11
8,15
8,16
8,17
8,18
8,15
8,15
8,17
8,16
8,15
8,16
8,15
8,18
8,19
8,18
8,2
8,21
8,22
8,23
8,25
8,28
8,28
8,29
8,3
8,34
8,38
8,39
8,44
8,46
8,46

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174539&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174539&T=0

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


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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.534175108486680.0114958942184192
0.027.541051615617030.0133347913908968
0.037.548746191539520.0139130984924394
0.047.556160180931830.0140537426579844
0.057.56308836225040.0150465948714339
0.067.569762258556160.0169488420166316
0.077.576448755834920.0190286630793864
0.087.583278986548040.0207222642202492
0.097.590268496630110.0220173624930148
0.17.597420766673180.0234033343848274
0.117.604817428619690.0256045634396199
0.127.612645215370270.0291542111174247
0.137.621157052242030.0340765169911245
0.147.630594649653040.039929292467514
0.157.641109036791860.0459920432455983
0.167.652708502866530.0514915908514383
0.177.665248280638120.0557952614654217
0.187.678460530376550.058508845435787
0.197.692011852760150.059533521830931
0.27.705570703034630.0591033561994738
0.217.718868147807510.0576637666659397
0.227.731740344515320.0558231114219362
0.237.744147479918490.0542321636812359
0.247.756169658599190.0534883665310496
0.257.767984220311350.0540441589736468
0.267.779830908375080.0560932303707483
0.277.791971575794180.0596127450478765
0.287.804650348931340.0643229706131163
0.297.818058973700040.0697961287238727
0.37.832310815875560.0755264251229967
0.317.847425784515950.0809465042148772
0.327.863327240696170.0855482457605897
0.337.879850666569670.088901189561973
0.347.896762518776520.0907048605111313
0.357.913786423968230.0908140162784867
0.367.930632931485230.0892500534981664
0.377.947028654238170.086206964080695
0.387.962740935649280.0819697898951458
0.397.977595144158790.0769279424543704
0.47.991483114995810.0714647205034366
0.418.004362817151170.0659936082816385
0.428.016250686452080.060762209750986
0.438.027208970366360.0560233749149522
0.448.037330750599270.0519032489542451
0.458.04672507510020.0484332708502478
0.468.055503998913280.0455857674799135
0.478.063772528413280.0432794841876176
0.488.0716217087330.0414174534241156
0.498.079124551652050.0398809238749611
0.58.086334239722070.038557103305905
0.518.093284036552670.0373607040921216
0.528.099988489109110.0361596305481925
0.538.106445704495670.0349003359643186
0.548.112640615457070.0334943552309992
0.558.118549157284410.031899230788005
0.568.124143165176160.0301081692586249
0.578.129395618169370.0281183400707701
0.588.134285683992210.0260029997626757
0.598.138802936205250.0238179200456088
0.68.142950168835290.0216558332075947
0.618.146744428174680.019604715623979
0.628.150216176923250.0177581396490785
0.638.153406833609610.0161817093751417
0.648.156365213659570.0149055261232979
0.658.159143574193540.0139419637299508
0.668.161793997115950.0132707949510319
0.678.164365732470830.0128704008509606
0.688.166903895869220.0126906678187326
0.698.169449622732420.0126774305596303
0.78.172041492359790.0128334135624685
0.718.174717808192610.0131451703191617
0.728.17751920119010.0136208405147691
0.738.180491023424990.0142955118717329
0.748.18368509233270.0151882658152867
0.758.187160473139520.0163305954430998
0.768.190983079964820.0177500233133799
0.778.19522389843650.0194427834247524
0.788.199955620586110.0213970688325601
0.798.205247562944840.0235829721218135
0.88.211159094093670.0259313384801943
0.818.217732565443220.0283341899378283
0.828.224987854902030.0306624857944766
0.838.232921688735810.0327663180958586
0.848.241515128223110.0345212440530556
0.858.250751085537780.0358942089698087
0.868.26063996941250.0369863470173923
0.878.271246207923540.0380467396704944
0.888.28270376506780.0394128161547789
0.898.295208395948840.0413519288576033
0.98.308981002048330.0438785000465641
0.918.32420861269180.0466383234463047
0.928.340979199766930.0490266269502334
0.938.359222020499960.0504184738257623
0.948.378642821117620.0503415660109562
0.958.398623555534240.0483307893814302
0.968.41808600388570.0436043857646912
0.978.435432322349830.0351440756381468
0.988.448812712007020.0228552044612426
0.998.456916521506360.00931830973621662

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.53417510848668 & 0.0114958942184192 \tabularnewline
0.02 & 7.54105161561703 & 0.0133347913908968 \tabularnewline
0.03 & 7.54874619153952 & 0.0139130984924394 \tabularnewline
0.04 & 7.55616018093183 & 0.0140537426579844 \tabularnewline
0.05 & 7.5630883622504 & 0.0150465948714339 \tabularnewline
0.06 & 7.56976225855616 & 0.0169488420166316 \tabularnewline
0.07 & 7.57644875583492 & 0.0190286630793864 \tabularnewline
0.08 & 7.58327898654804 & 0.0207222642202492 \tabularnewline
0.09 & 7.59026849663011 & 0.0220173624930148 \tabularnewline
0.1 & 7.59742076667318 & 0.0234033343848274 \tabularnewline
0.11 & 7.60481742861969 & 0.0256045634396199 \tabularnewline
0.12 & 7.61264521537027 & 0.0291542111174247 \tabularnewline
0.13 & 7.62115705224203 & 0.0340765169911245 \tabularnewline
0.14 & 7.63059464965304 & 0.039929292467514 \tabularnewline
0.15 & 7.64110903679186 & 0.0459920432455983 \tabularnewline
0.16 & 7.65270850286653 & 0.0514915908514383 \tabularnewline
0.17 & 7.66524828063812 & 0.0557952614654217 \tabularnewline
0.18 & 7.67846053037655 & 0.058508845435787 \tabularnewline
0.19 & 7.69201185276015 & 0.059533521830931 \tabularnewline
0.2 & 7.70557070303463 & 0.0591033561994738 \tabularnewline
0.21 & 7.71886814780751 & 0.0576637666659397 \tabularnewline
0.22 & 7.73174034451532 & 0.0558231114219362 \tabularnewline
0.23 & 7.74414747991849 & 0.0542321636812359 \tabularnewline
0.24 & 7.75616965859919 & 0.0534883665310496 \tabularnewline
0.25 & 7.76798422031135 & 0.0540441589736468 \tabularnewline
0.26 & 7.77983090837508 & 0.0560932303707483 \tabularnewline
0.27 & 7.79197157579418 & 0.0596127450478765 \tabularnewline
0.28 & 7.80465034893134 & 0.0643229706131163 \tabularnewline
0.29 & 7.81805897370004 & 0.0697961287238727 \tabularnewline
0.3 & 7.83231081587556 & 0.0755264251229967 \tabularnewline
0.31 & 7.84742578451595 & 0.0809465042148772 \tabularnewline
0.32 & 7.86332724069617 & 0.0855482457605897 \tabularnewline
0.33 & 7.87985066656967 & 0.088901189561973 \tabularnewline
0.34 & 7.89676251877652 & 0.0907048605111313 \tabularnewline
0.35 & 7.91378642396823 & 0.0908140162784867 \tabularnewline
0.36 & 7.93063293148523 & 0.0892500534981664 \tabularnewline
0.37 & 7.94702865423817 & 0.086206964080695 \tabularnewline
0.38 & 7.96274093564928 & 0.0819697898951458 \tabularnewline
0.39 & 7.97759514415879 & 0.0769279424543704 \tabularnewline
0.4 & 7.99148311499581 & 0.0714647205034366 \tabularnewline
0.41 & 8.00436281715117 & 0.0659936082816385 \tabularnewline
0.42 & 8.01625068645208 & 0.060762209750986 \tabularnewline
0.43 & 8.02720897036636 & 0.0560233749149522 \tabularnewline
0.44 & 8.03733075059927 & 0.0519032489542451 \tabularnewline
0.45 & 8.0467250751002 & 0.0484332708502478 \tabularnewline
0.46 & 8.05550399891328 & 0.0455857674799135 \tabularnewline
0.47 & 8.06377252841328 & 0.0432794841876176 \tabularnewline
0.48 & 8.071621708733 & 0.0414174534241156 \tabularnewline
0.49 & 8.07912455165205 & 0.0398809238749611 \tabularnewline
0.5 & 8.08633423972207 & 0.038557103305905 \tabularnewline
0.51 & 8.09328403655267 & 0.0373607040921216 \tabularnewline
0.52 & 8.09998848910911 & 0.0361596305481925 \tabularnewline
0.53 & 8.10644570449567 & 0.0349003359643186 \tabularnewline
0.54 & 8.11264061545707 & 0.0334943552309992 \tabularnewline
0.55 & 8.11854915728441 & 0.031899230788005 \tabularnewline
0.56 & 8.12414316517616 & 0.0301081692586249 \tabularnewline
0.57 & 8.12939561816937 & 0.0281183400707701 \tabularnewline
0.58 & 8.13428568399221 & 0.0260029997626757 \tabularnewline
0.59 & 8.13880293620525 & 0.0238179200456088 \tabularnewline
0.6 & 8.14295016883529 & 0.0216558332075947 \tabularnewline
0.61 & 8.14674442817468 & 0.019604715623979 \tabularnewline
0.62 & 8.15021617692325 & 0.0177581396490785 \tabularnewline
0.63 & 8.15340683360961 & 0.0161817093751417 \tabularnewline
0.64 & 8.15636521365957 & 0.0149055261232979 \tabularnewline
0.65 & 8.15914357419354 & 0.0139419637299508 \tabularnewline
0.66 & 8.16179399711595 & 0.0132707949510319 \tabularnewline
0.67 & 8.16436573247083 & 0.0128704008509606 \tabularnewline
0.68 & 8.16690389586922 & 0.0126906678187326 \tabularnewline
0.69 & 8.16944962273242 & 0.0126774305596303 \tabularnewline
0.7 & 8.17204149235979 & 0.0128334135624685 \tabularnewline
0.71 & 8.17471780819261 & 0.0131451703191617 \tabularnewline
0.72 & 8.1775192011901 & 0.0136208405147691 \tabularnewline
0.73 & 8.18049102342499 & 0.0142955118717329 \tabularnewline
0.74 & 8.1836850923327 & 0.0151882658152867 \tabularnewline
0.75 & 8.18716047313952 & 0.0163305954430998 \tabularnewline
0.76 & 8.19098307996482 & 0.0177500233133799 \tabularnewline
0.77 & 8.1952238984365 & 0.0194427834247524 \tabularnewline
0.78 & 8.19995562058611 & 0.0213970688325601 \tabularnewline
0.79 & 8.20524756294484 & 0.0235829721218135 \tabularnewline
0.8 & 8.21115909409367 & 0.0259313384801943 \tabularnewline
0.81 & 8.21773256544322 & 0.0283341899378283 \tabularnewline
0.82 & 8.22498785490203 & 0.0306624857944766 \tabularnewline
0.83 & 8.23292168873581 & 0.0327663180958586 \tabularnewline
0.84 & 8.24151512822311 & 0.0345212440530556 \tabularnewline
0.85 & 8.25075108553778 & 0.0358942089698087 \tabularnewline
0.86 & 8.2606399694125 & 0.0369863470173923 \tabularnewline
0.87 & 8.27124620792354 & 0.0380467396704944 \tabularnewline
0.88 & 8.2827037650678 & 0.0394128161547789 \tabularnewline
0.89 & 8.29520839594884 & 0.0413519288576033 \tabularnewline
0.9 & 8.30898100204833 & 0.0438785000465641 \tabularnewline
0.91 & 8.3242086126918 & 0.0466383234463047 \tabularnewline
0.92 & 8.34097919976693 & 0.0490266269502334 \tabularnewline
0.93 & 8.35922202049996 & 0.0504184738257623 \tabularnewline
0.94 & 8.37864282111762 & 0.0503415660109562 \tabularnewline
0.95 & 8.39862355553424 & 0.0483307893814302 \tabularnewline
0.96 & 8.4180860038857 & 0.0436043857646912 \tabularnewline
0.97 & 8.43543232234983 & 0.0351440756381468 \tabularnewline
0.98 & 8.44881271200702 & 0.0228552044612426 \tabularnewline
0.99 & 8.45691652150636 & 0.00931830973621662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174539&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]7.53417510848668[/C][C]0.0114958942184192[/C][/ROW]
[ROW][C]0.02[/C][C]7.54105161561703[/C][C]0.0133347913908968[/C][/ROW]
[ROW][C]0.03[/C][C]7.54874619153952[/C][C]0.0139130984924394[/C][/ROW]
[ROW][C]0.04[/C][C]7.55616018093183[/C][C]0.0140537426579844[/C][/ROW]
[ROW][C]0.05[/C][C]7.5630883622504[/C][C]0.0150465948714339[/C][/ROW]
[ROW][C]0.06[/C][C]7.56976225855616[/C][C]0.0169488420166316[/C][/ROW]
[ROW][C]0.07[/C][C]7.57644875583492[/C][C]0.0190286630793864[/C][/ROW]
[ROW][C]0.08[/C][C]7.58327898654804[/C][C]0.0207222642202492[/C][/ROW]
[ROW][C]0.09[/C][C]7.59026849663011[/C][C]0.0220173624930148[/C][/ROW]
[ROW][C]0.1[/C][C]7.59742076667318[/C][C]0.0234033343848274[/C][/ROW]
[ROW][C]0.11[/C][C]7.60481742861969[/C][C]0.0256045634396199[/C][/ROW]
[ROW][C]0.12[/C][C]7.61264521537027[/C][C]0.0291542111174247[/C][/ROW]
[ROW][C]0.13[/C][C]7.62115705224203[/C][C]0.0340765169911245[/C][/ROW]
[ROW][C]0.14[/C][C]7.63059464965304[/C][C]0.039929292467514[/C][/ROW]
[ROW][C]0.15[/C][C]7.64110903679186[/C][C]0.0459920432455983[/C][/ROW]
[ROW][C]0.16[/C][C]7.65270850286653[/C][C]0.0514915908514383[/C][/ROW]
[ROW][C]0.17[/C][C]7.66524828063812[/C][C]0.0557952614654217[/C][/ROW]
[ROW][C]0.18[/C][C]7.67846053037655[/C][C]0.058508845435787[/C][/ROW]
[ROW][C]0.19[/C][C]7.69201185276015[/C][C]0.059533521830931[/C][/ROW]
[ROW][C]0.2[/C][C]7.70557070303463[/C][C]0.0591033561994738[/C][/ROW]
[ROW][C]0.21[/C][C]7.71886814780751[/C][C]0.0576637666659397[/C][/ROW]
[ROW][C]0.22[/C][C]7.73174034451532[/C][C]0.0558231114219362[/C][/ROW]
[ROW][C]0.23[/C][C]7.74414747991849[/C][C]0.0542321636812359[/C][/ROW]
[ROW][C]0.24[/C][C]7.75616965859919[/C][C]0.0534883665310496[/C][/ROW]
[ROW][C]0.25[/C][C]7.76798422031135[/C][C]0.0540441589736468[/C][/ROW]
[ROW][C]0.26[/C][C]7.77983090837508[/C][C]0.0560932303707483[/C][/ROW]
[ROW][C]0.27[/C][C]7.79197157579418[/C][C]0.0596127450478765[/C][/ROW]
[ROW][C]0.28[/C][C]7.80465034893134[/C][C]0.0643229706131163[/C][/ROW]
[ROW][C]0.29[/C][C]7.81805897370004[/C][C]0.0697961287238727[/C][/ROW]
[ROW][C]0.3[/C][C]7.83231081587556[/C][C]0.0755264251229967[/C][/ROW]
[ROW][C]0.31[/C][C]7.84742578451595[/C][C]0.0809465042148772[/C][/ROW]
[ROW][C]0.32[/C][C]7.86332724069617[/C][C]0.0855482457605897[/C][/ROW]
[ROW][C]0.33[/C][C]7.87985066656967[/C][C]0.088901189561973[/C][/ROW]
[ROW][C]0.34[/C][C]7.89676251877652[/C][C]0.0907048605111313[/C][/ROW]
[ROW][C]0.35[/C][C]7.91378642396823[/C][C]0.0908140162784867[/C][/ROW]
[ROW][C]0.36[/C][C]7.93063293148523[/C][C]0.0892500534981664[/C][/ROW]
[ROW][C]0.37[/C][C]7.94702865423817[/C][C]0.086206964080695[/C][/ROW]
[ROW][C]0.38[/C][C]7.96274093564928[/C][C]0.0819697898951458[/C][/ROW]
[ROW][C]0.39[/C][C]7.97759514415879[/C][C]0.0769279424543704[/C][/ROW]
[ROW][C]0.4[/C][C]7.99148311499581[/C][C]0.0714647205034366[/C][/ROW]
[ROW][C]0.41[/C][C]8.00436281715117[/C][C]0.0659936082816385[/C][/ROW]
[ROW][C]0.42[/C][C]8.01625068645208[/C][C]0.060762209750986[/C][/ROW]
[ROW][C]0.43[/C][C]8.02720897036636[/C][C]0.0560233749149522[/C][/ROW]
[ROW][C]0.44[/C][C]8.03733075059927[/C][C]0.0519032489542451[/C][/ROW]
[ROW][C]0.45[/C][C]8.0467250751002[/C][C]0.0484332708502478[/C][/ROW]
[ROW][C]0.46[/C][C]8.05550399891328[/C][C]0.0455857674799135[/C][/ROW]
[ROW][C]0.47[/C][C]8.06377252841328[/C][C]0.0432794841876176[/C][/ROW]
[ROW][C]0.48[/C][C]8.071621708733[/C][C]0.0414174534241156[/C][/ROW]
[ROW][C]0.49[/C][C]8.07912455165205[/C][C]0.0398809238749611[/C][/ROW]
[ROW][C]0.5[/C][C]8.08633423972207[/C][C]0.038557103305905[/C][/ROW]
[ROW][C]0.51[/C][C]8.09328403655267[/C][C]0.0373607040921216[/C][/ROW]
[ROW][C]0.52[/C][C]8.09998848910911[/C][C]0.0361596305481925[/C][/ROW]
[ROW][C]0.53[/C][C]8.10644570449567[/C][C]0.0349003359643186[/C][/ROW]
[ROW][C]0.54[/C][C]8.11264061545707[/C][C]0.0334943552309992[/C][/ROW]
[ROW][C]0.55[/C][C]8.11854915728441[/C][C]0.031899230788005[/C][/ROW]
[ROW][C]0.56[/C][C]8.12414316517616[/C][C]0.0301081692586249[/C][/ROW]
[ROW][C]0.57[/C][C]8.12939561816937[/C][C]0.0281183400707701[/C][/ROW]
[ROW][C]0.58[/C][C]8.13428568399221[/C][C]0.0260029997626757[/C][/ROW]
[ROW][C]0.59[/C][C]8.13880293620525[/C][C]0.0238179200456088[/C][/ROW]
[ROW][C]0.6[/C][C]8.14295016883529[/C][C]0.0216558332075947[/C][/ROW]
[ROW][C]0.61[/C][C]8.14674442817468[/C][C]0.019604715623979[/C][/ROW]
[ROW][C]0.62[/C][C]8.15021617692325[/C][C]0.0177581396490785[/C][/ROW]
[ROW][C]0.63[/C][C]8.15340683360961[/C][C]0.0161817093751417[/C][/ROW]
[ROW][C]0.64[/C][C]8.15636521365957[/C][C]0.0149055261232979[/C][/ROW]
[ROW][C]0.65[/C][C]8.15914357419354[/C][C]0.0139419637299508[/C][/ROW]
[ROW][C]0.66[/C][C]8.16179399711595[/C][C]0.0132707949510319[/C][/ROW]
[ROW][C]0.67[/C][C]8.16436573247083[/C][C]0.0128704008509606[/C][/ROW]
[ROW][C]0.68[/C][C]8.16690389586922[/C][C]0.0126906678187326[/C][/ROW]
[ROW][C]0.69[/C][C]8.16944962273242[/C][C]0.0126774305596303[/C][/ROW]
[ROW][C]0.7[/C][C]8.17204149235979[/C][C]0.0128334135624685[/C][/ROW]
[ROW][C]0.71[/C][C]8.17471780819261[/C][C]0.0131451703191617[/C][/ROW]
[ROW][C]0.72[/C][C]8.1775192011901[/C][C]0.0136208405147691[/C][/ROW]
[ROW][C]0.73[/C][C]8.18049102342499[/C][C]0.0142955118717329[/C][/ROW]
[ROW][C]0.74[/C][C]8.1836850923327[/C][C]0.0151882658152867[/C][/ROW]
[ROW][C]0.75[/C][C]8.18716047313952[/C][C]0.0163305954430998[/C][/ROW]
[ROW][C]0.76[/C][C]8.19098307996482[/C][C]0.0177500233133799[/C][/ROW]
[ROW][C]0.77[/C][C]8.1952238984365[/C][C]0.0194427834247524[/C][/ROW]
[ROW][C]0.78[/C][C]8.19995562058611[/C][C]0.0213970688325601[/C][/ROW]
[ROW][C]0.79[/C][C]8.20524756294484[/C][C]0.0235829721218135[/C][/ROW]
[ROW][C]0.8[/C][C]8.21115909409367[/C][C]0.0259313384801943[/C][/ROW]
[ROW][C]0.81[/C][C]8.21773256544322[/C][C]0.0283341899378283[/C][/ROW]
[ROW][C]0.82[/C][C]8.22498785490203[/C][C]0.0306624857944766[/C][/ROW]
[ROW][C]0.83[/C][C]8.23292168873581[/C][C]0.0327663180958586[/C][/ROW]
[ROW][C]0.84[/C][C]8.24151512822311[/C][C]0.0345212440530556[/C][/ROW]
[ROW][C]0.85[/C][C]8.25075108553778[/C][C]0.0358942089698087[/C][/ROW]
[ROW][C]0.86[/C][C]8.2606399694125[/C][C]0.0369863470173923[/C][/ROW]
[ROW][C]0.87[/C][C]8.27124620792354[/C][C]0.0380467396704944[/C][/ROW]
[ROW][C]0.88[/C][C]8.2827037650678[/C][C]0.0394128161547789[/C][/ROW]
[ROW][C]0.89[/C][C]8.29520839594884[/C][C]0.0413519288576033[/C][/ROW]
[ROW][C]0.9[/C][C]8.30898100204833[/C][C]0.0438785000465641[/C][/ROW]
[ROW][C]0.91[/C][C]8.3242086126918[/C][C]0.0466383234463047[/C][/ROW]
[ROW][C]0.92[/C][C]8.34097919976693[/C][C]0.0490266269502334[/C][/ROW]
[ROW][C]0.93[/C][C]8.35922202049996[/C][C]0.0504184738257623[/C][/ROW]
[ROW][C]0.94[/C][C]8.37864282111762[/C][C]0.0503415660109562[/C][/ROW]
[ROW][C]0.95[/C][C]8.39862355553424[/C][C]0.0483307893814302[/C][/ROW]
[ROW][C]0.96[/C][C]8.4180860038857[/C][C]0.0436043857646912[/C][/ROW]
[ROW][C]0.97[/C][C]8.43543232234983[/C][C]0.0351440756381468[/C][/ROW]
[ROW][C]0.98[/C][C]8.44881271200702[/C][C]0.0228552044612426[/C][/ROW]
[ROW][C]0.99[/C][C]8.45691652150636[/C][C]0.00931830973621662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174539&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
0.017.534175108486680.0114958942184192
0.027.541051615617030.0133347913908968
0.037.548746191539520.0139130984924394
0.047.556160180931830.0140537426579844
0.057.56308836225040.0150465948714339
0.067.569762258556160.0169488420166316
0.077.576448755834920.0190286630793864
0.087.583278986548040.0207222642202492
0.097.590268496630110.0220173624930148
0.17.597420766673180.0234033343848274
0.117.604817428619690.0256045634396199
0.127.612645215370270.0291542111174247
0.137.621157052242030.0340765169911245
0.147.630594649653040.039929292467514
0.157.641109036791860.0459920432455983
0.167.652708502866530.0514915908514383
0.177.665248280638120.0557952614654217
0.187.678460530376550.058508845435787
0.197.692011852760150.059533521830931
0.27.705570703034630.0591033561994738
0.217.718868147807510.0576637666659397
0.227.731740344515320.0558231114219362
0.237.744147479918490.0542321636812359
0.247.756169658599190.0534883665310496
0.257.767984220311350.0540441589736468
0.267.779830908375080.0560932303707483
0.277.791971575794180.0596127450478765
0.287.804650348931340.0643229706131163
0.297.818058973700040.0697961287238727
0.37.832310815875560.0755264251229967
0.317.847425784515950.0809465042148772
0.327.863327240696170.0855482457605897
0.337.879850666569670.088901189561973
0.347.896762518776520.0907048605111313
0.357.913786423968230.0908140162784867
0.367.930632931485230.0892500534981664
0.377.947028654238170.086206964080695
0.387.962740935649280.0819697898951458
0.397.977595144158790.0769279424543704
0.47.991483114995810.0714647205034366
0.418.004362817151170.0659936082816385
0.428.016250686452080.060762209750986
0.438.027208970366360.0560233749149522
0.448.037330750599270.0519032489542451
0.458.04672507510020.0484332708502478
0.468.055503998913280.0455857674799135
0.478.063772528413280.0432794841876176
0.488.0716217087330.0414174534241156
0.498.079124551652050.0398809238749611
0.58.086334239722070.038557103305905
0.518.093284036552670.0373607040921216
0.528.099988489109110.0361596305481925
0.538.106445704495670.0349003359643186
0.548.112640615457070.0334943552309992
0.558.118549157284410.031899230788005
0.568.124143165176160.0301081692586249
0.578.129395618169370.0281183400707701
0.588.134285683992210.0260029997626757
0.598.138802936205250.0238179200456088
0.68.142950168835290.0216558332075947
0.618.146744428174680.019604715623979
0.628.150216176923250.0177581396490785
0.638.153406833609610.0161817093751417
0.648.156365213659570.0149055261232979
0.658.159143574193540.0139419637299508
0.668.161793997115950.0132707949510319
0.678.164365732470830.0128704008509606
0.688.166903895869220.0126906678187326
0.698.169449622732420.0126774305596303
0.78.172041492359790.0128334135624685
0.718.174717808192610.0131451703191617
0.728.17751920119010.0136208405147691
0.738.180491023424990.0142955118717329
0.748.18368509233270.0151882658152867
0.758.187160473139520.0163305954430998
0.768.190983079964820.0177500233133799
0.778.19522389843650.0194427834247524
0.788.199955620586110.0213970688325601
0.798.205247562944840.0235829721218135
0.88.211159094093670.0259313384801943
0.818.217732565443220.0283341899378283
0.828.224987854902030.0306624857944766
0.838.232921688735810.0327663180958586
0.848.241515128223110.0345212440530556
0.858.250751085537780.0358942089698087
0.868.26063996941250.0369863470173923
0.878.271246207923540.0380467396704944
0.888.28270376506780.0394128161547789
0.898.295208395948840.0413519288576033
0.98.308981002048330.0438785000465641
0.918.32420861269180.0466383234463047
0.928.340979199766930.0490266269502334
0.938.359222020499960.0504184738257623
0.948.378642821117620.0503415660109562
0.958.398623555534240.0483307893814302
0.968.41808600388570.0436043857646912
0.978.435432322349830.0351440756381468
0.988.448812712007020.0228552044612426
0.998.456916521506360.00931830973621662


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')