FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 13 Oct 2008 12:28:14 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/13/t1223922639e5ivm0mbh2t3col.htm/, Retrieved Sun, 19 May 2024 14:06:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15867, Retrieved Sun, 19 May 2024 14:06:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

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] [Gemiddele prijs b...] [2008-10-13 18:28:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.6
5.6
5.6
5.6
5.6
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.82
5.82
5.95
5.95
5.95
5.95
5.95
5.95
6.02
6.02
6.05
6.05
6.05
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.17
6.17
6.17
6.17
6.17
6.28
6.27
6.28
6.28
6.27
6.27
6.28
6.59
6.59
6.59
6.59
6.59
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.79
6.79
6.79

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15867&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15867&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15867&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.600190643507680.000799743896958078
0.025.601039278913710.00351441593593555
0.035.603256249480860.00878043001059795
0.045.607501742595030.0159163030317784
0.055.614023312886650.0230366662473159
0.065.622466823805010.0280532395210593
0.075.631985921174250.029750190969558
0.085.641575791983630.0282674460994048
0.095.650442571421510.0248932335229944
0.15.658244754465350.0215292008092993
0.115.66514735841130.0203059361738489
0.125.671724568001240.0229002080334318
0.135.678785919361530.0296298459890999
0.145.687191427044270.0397887033817261
0.155.697692781068030.0524042963587629
0.165.710815047278770.0663146615535247
0.175.726783380636160.0801803657153299
0.185.745497227132780.0926073441693183
0.195.766552904426140.102379277519388
0.25.78931046526990.108643944312780
0.215.812993170990490.111043972778597
0.225.836801107475840.109757955629643
0.235.860017690639760.105428696731363
0.245.882090379125050.0990116354841893
0.255.902673966454130.0915850111502311
0.265.921633982220220.0841802618240318
0.275.93901624148380.0775885954784297
0.285.954994326863170.072297413210252
0.295.969808833287270.0684431782119428
0.35.983710822796570.0658452352080833
0.315.996918244236030.0641311278791794
0.326.009589506802090.0628648694640898
0.336.021814228645380.0616541190693455
0.346.033618215957230.060192079584212
0.356.044978221263690.0582999942389545
0.366.055841796984760.0559059603759957
0.376.066148177011590.0530501549668556
0.386.07584712799170.0498539567264422
0.396.084913767487930.0465085138074762
0.46.093358267194170.0432368004042339
0.416.101230104591490.0402924904703704
0.426.10861712747990.0379204930616845
0.436.115640190640460.0363208946198576
0.446.122444518531430.0356417251467424
0.456.129189215175980.0359439017811553
0.466.136036445941950.0371972351036319
0.476.143141739347510.0392987400321168
0.486.150646618799310.0421056924396429
0.496.158674420394120.0454849593992626
0.56.167329733718290.0493003606717925
0.516.176701447558190.0534597907897437
0.526.186868892196290.0579289171462267
0.536.197910032966540.0627120976750834
0.546.209910099701810.0678935678183427
0.556.222968512227730.0736026716747458
0.566.23720164318070.0799863674276663
0.576.252739060757920.0871737776892823
0.586.269711610581190.0951849707378118
0.596.288231101028940.103888323608754
0.66.30836331118610.112955978793004
0.616.330098160866520.121851092777347
0.626.353322597339540.129881886092111
0.636.377802458203670.136281414046622
0.646.403178831202870.140315963111445
0.656.428982179022510.141395147225494
0.666.45466411614230.139169388029041
0.676.479643001126890.133606710568204
0.686.503356416351210.124977643379343
0.696.525312010530760.113848244088680
0.76.545128538770210.100966741406127
0.716.562561145920740.0871801976538182
0.726.577508361113080.0733077584545658
0.736.590001943589310.0600565806803342
0.746.600183684002580.047957244982924
0.756.608274869786280.0373416484274846
0.766.614544196578620.0283535857596698
0.776.619278745267110.0209890111127015
0.786.622760833330240.0151330622533748
0.796.625251721537250.0106118946519017
0.86.62698177540470.0072212311672715
0.816.628145937629250.00475514245370353
0.826.628903216990640.00301954535711885
0.836.629379186045380.00184288486076314
0.846.629671105493260.00108331524504050
0.856.629856349100290.00062148771470599
0.866.630006599621320.000405522799173617
0.876.630213130447880.000523076222043354
0.886.630631943981220.00114593468389753
0.896.631558894119620.0026187711585911
0.96.633537239209230.00565654008382161
0.916.63747225450240.0113072035307696
0.926.644671976956030.0206828559485735
0.936.65666665664720.0342122273640927
0.946.674650407957620.0503800681666132
0.956.69855161847750.0646456827769557
0.966.726133045846550.0700257977873061
0.976.752948539925610.0608496547559235
0.986.77388593354880.0385536103092097
0.996.78590850151090.0139548991187733

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.60019064350768 & 0.000799743896958078 \tabularnewline
0.02 & 5.60103927891371 & 0.00351441593593555 \tabularnewline
0.03 & 5.60325624948086 & 0.00878043001059795 \tabularnewline
0.04 & 5.60750174259503 & 0.0159163030317784 \tabularnewline
0.05 & 5.61402331288665 & 0.0230366662473159 \tabularnewline
0.06 & 5.62246682380501 & 0.0280532395210593 \tabularnewline
0.07 & 5.63198592117425 & 0.029750190969558 \tabularnewline
0.08 & 5.64157579198363 & 0.0282674460994048 \tabularnewline
0.09 & 5.65044257142151 & 0.0248932335229944 \tabularnewline
0.1 & 5.65824475446535 & 0.0215292008092993 \tabularnewline
0.11 & 5.6651473584113 & 0.0203059361738489 \tabularnewline
0.12 & 5.67172456800124 & 0.0229002080334318 \tabularnewline
0.13 & 5.67878591936153 & 0.0296298459890999 \tabularnewline
0.14 & 5.68719142704427 & 0.0397887033817261 \tabularnewline
0.15 & 5.69769278106803 & 0.0524042963587629 \tabularnewline
0.16 & 5.71081504727877 & 0.0663146615535247 \tabularnewline
0.17 & 5.72678338063616 & 0.0801803657153299 \tabularnewline
0.18 & 5.74549722713278 & 0.0926073441693183 \tabularnewline
0.19 & 5.76655290442614 & 0.102379277519388 \tabularnewline
0.2 & 5.7893104652699 & 0.108643944312780 \tabularnewline
0.21 & 5.81299317099049 & 0.111043972778597 \tabularnewline
0.22 & 5.83680110747584 & 0.109757955629643 \tabularnewline
0.23 & 5.86001769063976 & 0.105428696731363 \tabularnewline
0.24 & 5.88209037912505 & 0.0990116354841893 \tabularnewline
0.25 & 5.90267396645413 & 0.0915850111502311 \tabularnewline
0.26 & 5.92163398222022 & 0.0841802618240318 \tabularnewline
0.27 & 5.9390162414838 & 0.0775885954784297 \tabularnewline
0.28 & 5.95499432686317 & 0.072297413210252 \tabularnewline
0.29 & 5.96980883328727 & 0.0684431782119428 \tabularnewline
0.3 & 5.98371082279657 & 0.0658452352080833 \tabularnewline
0.31 & 5.99691824423603 & 0.0641311278791794 \tabularnewline
0.32 & 6.00958950680209 & 0.0628648694640898 \tabularnewline
0.33 & 6.02181422864538 & 0.0616541190693455 \tabularnewline
0.34 & 6.03361821595723 & 0.060192079584212 \tabularnewline
0.35 & 6.04497822126369 & 0.0582999942389545 \tabularnewline
0.36 & 6.05584179698476 & 0.0559059603759957 \tabularnewline
0.37 & 6.06614817701159 & 0.0530501549668556 \tabularnewline
0.38 & 6.0758471279917 & 0.0498539567264422 \tabularnewline
0.39 & 6.08491376748793 & 0.0465085138074762 \tabularnewline
0.4 & 6.09335826719417 & 0.0432368004042339 \tabularnewline
0.41 & 6.10123010459149 & 0.0402924904703704 \tabularnewline
0.42 & 6.1086171274799 & 0.0379204930616845 \tabularnewline
0.43 & 6.11564019064046 & 0.0363208946198576 \tabularnewline
0.44 & 6.12244451853143 & 0.0356417251467424 \tabularnewline
0.45 & 6.12918921517598 & 0.0359439017811553 \tabularnewline
0.46 & 6.13603644594195 & 0.0371972351036319 \tabularnewline
0.47 & 6.14314173934751 & 0.0392987400321168 \tabularnewline
0.48 & 6.15064661879931 & 0.0421056924396429 \tabularnewline
0.49 & 6.15867442039412 & 0.0454849593992626 \tabularnewline
0.5 & 6.16732973371829 & 0.0493003606717925 \tabularnewline
0.51 & 6.17670144755819 & 0.0534597907897437 \tabularnewline
0.52 & 6.18686889219629 & 0.0579289171462267 \tabularnewline
0.53 & 6.19791003296654 & 0.0627120976750834 \tabularnewline
0.54 & 6.20991009970181 & 0.0678935678183427 \tabularnewline
0.55 & 6.22296851222773 & 0.0736026716747458 \tabularnewline
0.56 & 6.2372016431807 & 0.0799863674276663 \tabularnewline
0.57 & 6.25273906075792 & 0.0871737776892823 \tabularnewline
0.58 & 6.26971161058119 & 0.0951849707378118 \tabularnewline
0.59 & 6.28823110102894 & 0.103888323608754 \tabularnewline
0.6 & 6.3083633111861 & 0.112955978793004 \tabularnewline
0.61 & 6.33009816086652 & 0.121851092777347 \tabularnewline
0.62 & 6.35332259733954 & 0.129881886092111 \tabularnewline
0.63 & 6.37780245820367 & 0.136281414046622 \tabularnewline
0.64 & 6.40317883120287 & 0.140315963111445 \tabularnewline
0.65 & 6.42898217902251 & 0.141395147225494 \tabularnewline
0.66 & 6.4546641161423 & 0.139169388029041 \tabularnewline
0.67 & 6.47964300112689 & 0.133606710568204 \tabularnewline
0.68 & 6.50335641635121 & 0.124977643379343 \tabularnewline
0.69 & 6.52531201053076 & 0.113848244088680 \tabularnewline
0.7 & 6.54512853877021 & 0.100966741406127 \tabularnewline
0.71 & 6.56256114592074 & 0.0871801976538182 \tabularnewline
0.72 & 6.57750836111308 & 0.0733077584545658 \tabularnewline
0.73 & 6.59000194358931 & 0.0600565806803342 \tabularnewline
0.74 & 6.60018368400258 & 0.047957244982924 \tabularnewline
0.75 & 6.60827486978628 & 0.0373416484274846 \tabularnewline
0.76 & 6.61454419657862 & 0.0283535857596698 \tabularnewline
0.77 & 6.61927874526711 & 0.0209890111127015 \tabularnewline
0.78 & 6.62276083333024 & 0.0151330622533748 \tabularnewline
0.79 & 6.62525172153725 & 0.0106118946519017 \tabularnewline
0.8 & 6.6269817754047 & 0.0072212311672715 \tabularnewline
0.81 & 6.62814593762925 & 0.00475514245370353 \tabularnewline
0.82 & 6.62890321699064 & 0.00301954535711885 \tabularnewline
0.83 & 6.62937918604538 & 0.00184288486076314 \tabularnewline
0.84 & 6.62967110549326 & 0.00108331524504050 \tabularnewline
0.85 & 6.62985634910029 & 0.00062148771470599 \tabularnewline
0.86 & 6.63000659962132 & 0.000405522799173617 \tabularnewline
0.87 & 6.63021313044788 & 0.000523076222043354 \tabularnewline
0.88 & 6.63063194398122 & 0.00114593468389753 \tabularnewline
0.89 & 6.63155889411962 & 0.0026187711585911 \tabularnewline
0.9 & 6.63353723920923 & 0.00565654008382161 \tabularnewline
0.91 & 6.6374722545024 & 0.0113072035307696 \tabularnewline
0.92 & 6.64467197695603 & 0.0206828559485735 \tabularnewline
0.93 & 6.6566666566472 & 0.0342122273640927 \tabularnewline
0.94 & 6.67465040795762 & 0.0503800681666132 \tabularnewline
0.95 & 6.6985516184775 & 0.0646456827769557 \tabularnewline
0.96 & 6.72613304584655 & 0.0700257977873061 \tabularnewline
0.97 & 6.75294853992561 & 0.0608496547559235 \tabularnewline
0.98 & 6.7738859335488 & 0.0385536103092097 \tabularnewline
0.99 & 6.7859085015109 & 0.0139548991187733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15867&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]5.60019064350768[/C][C]0.000799743896958078[/C][/ROW]
[ROW][C]0.02[/C][C]5.60103927891371[/C][C]0.00351441593593555[/C][/ROW]
[ROW][C]0.03[/C][C]5.60325624948086[/C][C]0.00878043001059795[/C][/ROW]
[ROW][C]0.04[/C][C]5.60750174259503[/C][C]0.0159163030317784[/C][/ROW]
[ROW][C]0.05[/C][C]5.61402331288665[/C][C]0.0230366662473159[/C][/ROW]
[ROW][C]0.06[/C][C]5.62246682380501[/C][C]0.0280532395210593[/C][/ROW]
[ROW][C]0.07[/C][C]5.63198592117425[/C][C]0.029750190969558[/C][/ROW]
[ROW][C]0.08[/C][C]5.64157579198363[/C][C]0.0282674460994048[/C][/ROW]
[ROW][C]0.09[/C][C]5.65044257142151[/C][C]0.0248932335229944[/C][/ROW]
[ROW][C]0.1[/C][C]5.65824475446535[/C][C]0.0215292008092993[/C][/ROW]
[ROW][C]0.11[/C][C]5.6651473584113[/C][C]0.0203059361738489[/C][/ROW]
[ROW][C]0.12[/C][C]5.67172456800124[/C][C]0.0229002080334318[/C][/ROW]
[ROW][C]0.13[/C][C]5.67878591936153[/C][C]0.0296298459890999[/C][/ROW]
[ROW][C]0.14[/C][C]5.68719142704427[/C][C]0.0397887033817261[/C][/ROW]
[ROW][C]0.15[/C][C]5.69769278106803[/C][C]0.0524042963587629[/C][/ROW]
[ROW][C]0.16[/C][C]5.71081504727877[/C][C]0.0663146615535247[/C][/ROW]
[ROW][C]0.17[/C][C]5.72678338063616[/C][C]0.0801803657153299[/C][/ROW]
[ROW][C]0.18[/C][C]5.74549722713278[/C][C]0.0926073441693183[/C][/ROW]
[ROW][C]0.19[/C][C]5.76655290442614[/C][C]0.102379277519388[/C][/ROW]
[ROW][C]0.2[/C][C]5.7893104652699[/C][C]0.108643944312780[/C][/ROW]
[ROW][C]0.21[/C][C]5.81299317099049[/C][C]0.111043972778597[/C][/ROW]
[ROW][C]0.22[/C][C]5.83680110747584[/C][C]0.109757955629643[/C][/ROW]
[ROW][C]0.23[/C][C]5.86001769063976[/C][C]0.105428696731363[/C][/ROW]
[ROW][C]0.24[/C][C]5.88209037912505[/C][C]0.0990116354841893[/C][/ROW]
[ROW][C]0.25[/C][C]5.90267396645413[/C][C]0.0915850111502311[/C][/ROW]
[ROW][C]0.26[/C][C]5.92163398222022[/C][C]0.0841802618240318[/C][/ROW]
[ROW][C]0.27[/C][C]5.9390162414838[/C][C]0.0775885954784297[/C][/ROW]
[ROW][C]0.28[/C][C]5.95499432686317[/C][C]0.072297413210252[/C][/ROW]
[ROW][C]0.29[/C][C]5.96980883328727[/C][C]0.0684431782119428[/C][/ROW]
[ROW][C]0.3[/C][C]5.98371082279657[/C][C]0.0658452352080833[/C][/ROW]
[ROW][C]0.31[/C][C]5.99691824423603[/C][C]0.0641311278791794[/C][/ROW]
[ROW][C]0.32[/C][C]6.00958950680209[/C][C]0.0628648694640898[/C][/ROW]
[ROW][C]0.33[/C][C]6.02181422864538[/C][C]0.0616541190693455[/C][/ROW]
[ROW][C]0.34[/C][C]6.03361821595723[/C][C]0.060192079584212[/C][/ROW]
[ROW][C]0.35[/C][C]6.04497822126369[/C][C]0.0582999942389545[/C][/ROW]
[ROW][C]0.36[/C][C]6.05584179698476[/C][C]0.0559059603759957[/C][/ROW]
[ROW][C]0.37[/C][C]6.06614817701159[/C][C]0.0530501549668556[/C][/ROW]
[ROW][C]0.38[/C][C]6.0758471279917[/C][C]0.0498539567264422[/C][/ROW]
[ROW][C]0.39[/C][C]6.08491376748793[/C][C]0.0465085138074762[/C][/ROW]
[ROW][C]0.4[/C][C]6.09335826719417[/C][C]0.0432368004042339[/C][/ROW]
[ROW][C]0.41[/C][C]6.10123010459149[/C][C]0.0402924904703704[/C][/ROW]
[ROW][C]0.42[/C][C]6.1086171274799[/C][C]0.0379204930616845[/C][/ROW]
[ROW][C]0.43[/C][C]6.11564019064046[/C][C]0.0363208946198576[/C][/ROW]
[ROW][C]0.44[/C][C]6.12244451853143[/C][C]0.0356417251467424[/C][/ROW]
[ROW][C]0.45[/C][C]6.12918921517598[/C][C]0.0359439017811553[/C][/ROW]
[ROW][C]0.46[/C][C]6.13603644594195[/C][C]0.0371972351036319[/C][/ROW]
[ROW][C]0.47[/C][C]6.14314173934751[/C][C]0.0392987400321168[/C][/ROW]
[ROW][C]0.48[/C][C]6.15064661879931[/C][C]0.0421056924396429[/C][/ROW]
[ROW][C]0.49[/C][C]6.15867442039412[/C][C]0.0454849593992626[/C][/ROW]
[ROW][C]0.5[/C][C]6.16732973371829[/C][C]0.0493003606717925[/C][/ROW]
[ROW][C]0.51[/C][C]6.17670144755819[/C][C]0.0534597907897437[/C][/ROW]
[ROW][C]0.52[/C][C]6.18686889219629[/C][C]0.0579289171462267[/C][/ROW]
[ROW][C]0.53[/C][C]6.19791003296654[/C][C]0.0627120976750834[/C][/ROW]
[ROW][C]0.54[/C][C]6.20991009970181[/C][C]0.0678935678183427[/C][/ROW]
[ROW][C]0.55[/C][C]6.22296851222773[/C][C]0.0736026716747458[/C][/ROW]
[ROW][C]0.56[/C][C]6.2372016431807[/C][C]0.0799863674276663[/C][/ROW]
[ROW][C]0.57[/C][C]6.25273906075792[/C][C]0.0871737776892823[/C][/ROW]
[ROW][C]0.58[/C][C]6.26971161058119[/C][C]0.0951849707378118[/C][/ROW]
[ROW][C]0.59[/C][C]6.28823110102894[/C][C]0.103888323608754[/C][/ROW]
[ROW][C]0.6[/C][C]6.3083633111861[/C][C]0.112955978793004[/C][/ROW]
[ROW][C]0.61[/C][C]6.33009816086652[/C][C]0.121851092777347[/C][/ROW]
[ROW][C]0.62[/C][C]6.35332259733954[/C][C]0.129881886092111[/C][/ROW]
[ROW][C]0.63[/C][C]6.37780245820367[/C][C]0.136281414046622[/C][/ROW]
[ROW][C]0.64[/C][C]6.40317883120287[/C][C]0.140315963111445[/C][/ROW]
[ROW][C]0.65[/C][C]6.42898217902251[/C][C]0.141395147225494[/C][/ROW]
[ROW][C]0.66[/C][C]6.4546641161423[/C][C]0.139169388029041[/C][/ROW]
[ROW][C]0.67[/C][C]6.47964300112689[/C][C]0.133606710568204[/C][/ROW]
[ROW][C]0.68[/C][C]6.50335641635121[/C][C]0.124977643379343[/C][/ROW]
[ROW][C]0.69[/C][C]6.52531201053076[/C][C]0.113848244088680[/C][/ROW]
[ROW][C]0.7[/C][C]6.54512853877021[/C][C]0.100966741406127[/C][/ROW]
[ROW][C]0.71[/C][C]6.56256114592074[/C][C]0.0871801976538182[/C][/ROW]
[ROW][C]0.72[/C][C]6.57750836111308[/C][C]0.0733077584545658[/C][/ROW]
[ROW][C]0.73[/C][C]6.59000194358931[/C][C]0.0600565806803342[/C][/ROW]
[ROW][C]0.74[/C][C]6.60018368400258[/C][C]0.047957244982924[/C][/ROW]
[ROW][C]0.75[/C][C]6.60827486978628[/C][C]0.0373416484274846[/C][/ROW]
[ROW][C]0.76[/C][C]6.61454419657862[/C][C]0.0283535857596698[/C][/ROW]
[ROW][C]0.77[/C][C]6.61927874526711[/C][C]0.0209890111127015[/C][/ROW]
[ROW][C]0.78[/C][C]6.62276083333024[/C][C]0.0151330622533748[/C][/ROW]
[ROW][C]0.79[/C][C]6.62525172153725[/C][C]0.0106118946519017[/C][/ROW]
[ROW][C]0.8[/C][C]6.6269817754047[/C][C]0.0072212311672715[/C][/ROW]
[ROW][C]0.81[/C][C]6.62814593762925[/C][C]0.00475514245370353[/C][/ROW]
[ROW][C]0.82[/C][C]6.62890321699064[/C][C]0.00301954535711885[/C][/ROW]
[ROW][C]0.83[/C][C]6.62937918604538[/C][C]0.00184288486076314[/C][/ROW]
[ROW][C]0.84[/C][C]6.62967110549326[/C][C]0.00108331524504050[/C][/ROW]
[ROW][C]0.85[/C][C]6.62985634910029[/C][C]0.00062148771470599[/C][/ROW]
[ROW][C]0.86[/C][C]6.63000659962132[/C][C]0.000405522799173617[/C][/ROW]
[ROW][C]0.87[/C][C]6.63021313044788[/C][C]0.000523076222043354[/C][/ROW]
[ROW][C]0.88[/C][C]6.63063194398122[/C][C]0.00114593468389753[/C][/ROW]
[ROW][C]0.89[/C][C]6.63155889411962[/C][C]0.0026187711585911[/C][/ROW]
[ROW][C]0.9[/C][C]6.63353723920923[/C][C]0.00565654008382161[/C][/ROW]
[ROW][C]0.91[/C][C]6.6374722545024[/C][C]0.0113072035307696[/C][/ROW]
[ROW][C]0.92[/C][C]6.64467197695603[/C][C]0.0206828559485735[/C][/ROW]
[ROW][C]0.93[/C][C]6.6566666566472[/C][C]0.0342122273640927[/C][/ROW]
[ROW][C]0.94[/C][C]6.67465040795762[/C][C]0.0503800681666132[/C][/ROW]
[ROW][C]0.95[/C][C]6.6985516184775[/C][C]0.0646456827769557[/C][/ROW]
[ROW][C]0.96[/C][C]6.72613304584655[/C][C]0.0700257977873061[/C][/ROW]
[ROW][C]0.97[/C][C]6.75294853992561[/C][C]0.0608496547559235[/C][/ROW]
[ROW][C]0.98[/C][C]6.7738859335488[/C][C]0.0385536103092097[/C][/ROW]
[ROW][C]0.99[/C][C]6.7859085015109[/C][C]0.0139548991187733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15867&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15867&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
0.015.600190643507680.000799743896958078
0.025.601039278913710.00351441593593555
0.035.603256249480860.00878043001059795
0.045.607501742595030.0159163030317784
0.055.614023312886650.0230366662473159
0.065.622466823805010.0280532395210593
0.075.631985921174250.029750190969558
0.085.641575791983630.0282674460994048
0.095.650442571421510.0248932335229944
0.15.658244754465350.0215292008092993
0.115.66514735841130.0203059361738489
0.125.671724568001240.0229002080334318
0.135.678785919361530.0296298459890999
0.145.687191427044270.0397887033817261
0.155.697692781068030.0524042963587629
0.165.710815047278770.0663146615535247
0.175.726783380636160.0801803657153299
0.185.745497227132780.0926073441693183
0.195.766552904426140.102379277519388
0.25.78931046526990.108643944312780
0.215.812993170990490.111043972778597
0.225.836801107475840.109757955629643
0.235.860017690639760.105428696731363
0.245.882090379125050.0990116354841893
0.255.902673966454130.0915850111502311
0.265.921633982220220.0841802618240318
0.275.93901624148380.0775885954784297
0.285.954994326863170.072297413210252
0.295.969808833287270.0684431782119428
0.35.983710822796570.0658452352080833
0.315.996918244236030.0641311278791794
0.326.009589506802090.0628648694640898
0.336.021814228645380.0616541190693455
0.346.033618215957230.060192079584212
0.356.044978221263690.0582999942389545
0.366.055841796984760.0559059603759957
0.376.066148177011590.0530501549668556
0.386.07584712799170.0498539567264422
0.396.084913767487930.0465085138074762
0.46.093358267194170.0432368004042339
0.416.101230104591490.0402924904703704
0.426.10861712747990.0379204930616845
0.436.115640190640460.0363208946198576
0.446.122444518531430.0356417251467424
0.456.129189215175980.0359439017811553
0.466.136036445941950.0371972351036319
0.476.143141739347510.0392987400321168
0.486.150646618799310.0421056924396429
0.496.158674420394120.0454849593992626
0.56.167329733718290.0493003606717925
0.516.176701447558190.0534597907897437
0.526.186868892196290.0579289171462267
0.536.197910032966540.0627120976750834
0.546.209910099701810.0678935678183427
0.556.222968512227730.0736026716747458
0.566.23720164318070.0799863674276663
0.576.252739060757920.0871737776892823
0.586.269711610581190.0951849707378118
0.596.288231101028940.103888323608754
0.66.30836331118610.112955978793004
0.616.330098160866520.121851092777347
0.626.353322597339540.129881886092111
0.636.377802458203670.136281414046622
0.646.403178831202870.140315963111445
0.656.428982179022510.141395147225494
0.666.45466411614230.139169388029041
0.676.479643001126890.133606710568204
0.686.503356416351210.124977643379343
0.696.525312010530760.113848244088680
0.76.545128538770210.100966741406127
0.716.562561145920740.0871801976538182
0.726.577508361113080.0733077584545658
0.736.590001943589310.0600565806803342
0.746.600183684002580.047957244982924
0.756.608274869786280.0373416484274846
0.766.614544196578620.0283535857596698
0.776.619278745267110.0209890111127015
0.786.622760833330240.0151330622533748
0.796.625251721537250.0106118946519017
0.86.62698177540470.0072212311672715
0.816.628145937629250.00475514245370353
0.826.628903216990640.00301954535711885
0.836.629379186045380.00184288486076314
0.846.629671105493260.00108331524504050
0.856.629856349100290.00062148771470599
0.866.630006599621320.000405522799173617
0.876.630213130447880.000523076222043354
0.886.630631943981220.00114593468389753
0.896.631558894119620.0026187711585911
0.96.633537239209230.00565654008382161
0.916.63747225450240.0113072035307696
0.926.644671976956030.0206828559485735
0.936.65666665664720.0342122273640927
0.946.674650407957620.0503800681666132
0.956.69855161847750.0646456827769557
0.966.726133045846550.0700257977873061
0.976.752948539925610.0608496547559235
0.986.77388593354880.0385536103092097
0.996.78590850151090.0139548991187733


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')