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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 computationSun, 02 Mar 2008 08:54:00 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204473307926g5lja2gvew70.htm/, Retrieved Mon, 06 May 2024 21:39:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9582, Retrieved Mon, 06 May 2024 21:39:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

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] [Prijzen middagmaa...] [2008-03-02 15:54:00] [e120e668935a0d64689fc62dff0df290] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.42
3.42
3.42
3.41
3.33
3.32
3.32
3.32
3.32
3.32
3.32
3.32
3.32
3.32
3.32
3.32
3.27
3.27
3.27
3.27
3.27
3.27
3.27
3.27
3.27
3.27
3.26
3.26
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.15
3.03
3.03
3.03
3.04
3.04
3.04
3.04
3.04
3.04
3.04
3.04
3.04
2.96
2.96
2.96
2.96
2.96
2.96
2.96
2.96
2.96
2.96
2.96
2.95
2.9
2.9
2.9
2.9
2.9
2.9
2.9
2.9

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9582&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9582&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9582&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.900004721538142.46074942629078e-05
0.022.900036096500570.000162770177509029
0.032.900157497500470.000618253390844394
0.042.900500947665750.00170065112345368
0.052.901279185833410.00372881488207518
0.062.902762931900440.00686258386744187
0.072.905217682269130.0109442605160024
0.082.908817223883150.0154554423101451
0.092.91356822155660.0196384310981603
0.12.919279696110850.0227227301974491
0.112.925592582229260.0241766955477302
0.122.932058826595830.0238457568681592
0.132.938240761848150.0219664113374478
0.142.943797939232380.01905383741833
0.152.948538937645590.0157362560827577
0.162.95243208241610.0126156739185184
0.172.955582986782320.010202320569018
0.182.958193569356160.00891300261041577
0.192.960516654404400.00899711072758295
0.22.962815457172020.0103964097948673
0.212.965331789099220.0128178252503186
0.222.968263068464970.0159264917565473
0.232.971746838109040.0194081292763356
0.242.975851828973130.0229258429184819
0.252.980575529084590.0261577235899241
0.262.98584876665550.0288008414362471
0.272.99154755631310.0306248843513043
0.282.997511481806180.0315039982576049
0.293.00356662512020.0314342679599999
0.33.009550006599560.0305355670972418
0.313.015332044413010.0290444454842851
0.323.020833803453280.0272740455933322
0.333.026036676625660.0255978686914303
0.343.030983370052130.0243929185521611
0.353.035770359699320.0239958007488498
0.363.040533122341050.0246208073109694
0.373.045426292246250.0263016555378467
0.383.050601420308640.0288878865985537
0.393.056185226018420.0321010897231160
0.43.062261151442340.0355804273100483
0.413.068856653082650.0389513897768894
0.423.075938002173850.0418434365955972
0.433.083413434146660.0439520639200438
0.443.091144377148350.0450493948776655
0.453.098963344507860.0450367407238748
0.463.106696084685060.0439364678656146
0.473.114184927478030.0419122126094575
0.483.12131007356180.0392332802830845
0.493.128005879230810.036259817394569
0.53.134269922626420.0334034589917462
0.513.140163658331110.0310880329096498
0.523.145804597850370.0296964040031467
0.533.151351030686470.0294971253990019
0.543.156981203452060.0305641457344756
0.553.162869530332920.0327536599156073
0.563.169162779338930.0357527169947427
0.573.175959241232440.0391442079620774
0.583.183293619903070.0424843493992964
0.593.191129771041070.0453478931857333
0.63.199362479091370.0473518371301278
0.613.207828278950780.0482184160957387
0.623.216324049935450.047792896023271
0.633.224630944806530.0460597145838189
0.643.232540389385190.0431511325950772
0.653.239878573187220.0393192516924719
0.663.246526118052480.0349085946573633
0.673.25243039765870.0303075167602992
0.683.257609109349290.0259137819164067
0.693.262144936837840.0220887127152322
0.73.266172271770360.0191348556091389
0.713.269857846625440.0172639797803545
0.723.273377733624220.0165267942677126
0.733.276893517672190.0167713343793342
0.743.280530597151880.0176765979574822
0.753.284361492132240.0188515249564488
0.763.288396658490940.0199188925204416
0.773.292584500960340.0205630167025262
0.783.296820996671270.0205570696737883
0.793.30096770276280.0197894121676613
0.83.304875267421910.0182700202962796
0.813.308408401922620.0161302237794383
0.823.311468119868540.0135887802889304
0.833.314008221110720.0109089713974698
0.843.316045403339960.00836156231716957
0.853.317665415897280.00619224239458402
0.863.319030156668450.00465078513560163
0.873.320390839847600.00412550861986742
0.883.322108273185400.0051413206678662
0.893.324671271949020.00796545001203507
0.93.328689144214540.0127010708753268
0.913.334820523198740.0193012846561191
0.923.343603133855930.0271567011708172
0.933.355186084088290.0347664325778544
0.943.369044959183480.0398163816105941
0.953.383850316543990.0399191160229055
0.963.397682798624420.0339672036599622
0.973.408653230218110.0233367322166680
0.983.415696182499880.011785399561914
0.993.419048325782030.00343500379126774

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.90000472153814 & 2.46074942629078e-05 \tabularnewline
0.02 & 2.90003609650057 & 0.000162770177509029 \tabularnewline
0.03 & 2.90015749750047 & 0.000618253390844394 \tabularnewline
0.04 & 2.90050094766575 & 0.00170065112345368 \tabularnewline
0.05 & 2.90127918583341 & 0.00372881488207518 \tabularnewline
0.06 & 2.90276293190044 & 0.00686258386744187 \tabularnewline
0.07 & 2.90521768226913 & 0.0109442605160024 \tabularnewline
0.08 & 2.90881722388315 & 0.0154554423101451 \tabularnewline
0.09 & 2.9135682215566 & 0.0196384310981603 \tabularnewline
0.1 & 2.91927969611085 & 0.0227227301974491 \tabularnewline
0.11 & 2.92559258222926 & 0.0241766955477302 \tabularnewline
0.12 & 2.93205882659583 & 0.0238457568681592 \tabularnewline
0.13 & 2.93824076184815 & 0.0219664113374478 \tabularnewline
0.14 & 2.94379793923238 & 0.01905383741833 \tabularnewline
0.15 & 2.94853893764559 & 0.0157362560827577 \tabularnewline
0.16 & 2.9524320824161 & 0.0126156739185184 \tabularnewline
0.17 & 2.95558298678232 & 0.010202320569018 \tabularnewline
0.18 & 2.95819356935616 & 0.00891300261041577 \tabularnewline
0.19 & 2.96051665440440 & 0.00899711072758295 \tabularnewline
0.2 & 2.96281545717202 & 0.0103964097948673 \tabularnewline
0.21 & 2.96533178909922 & 0.0128178252503186 \tabularnewline
0.22 & 2.96826306846497 & 0.0159264917565473 \tabularnewline
0.23 & 2.97174683810904 & 0.0194081292763356 \tabularnewline
0.24 & 2.97585182897313 & 0.0229258429184819 \tabularnewline
0.25 & 2.98057552908459 & 0.0261577235899241 \tabularnewline
0.26 & 2.9858487666555 & 0.0288008414362471 \tabularnewline
0.27 & 2.9915475563131 & 0.0306248843513043 \tabularnewline
0.28 & 2.99751148180618 & 0.0315039982576049 \tabularnewline
0.29 & 3.0035666251202 & 0.0314342679599999 \tabularnewline
0.3 & 3.00955000659956 & 0.0305355670972418 \tabularnewline
0.31 & 3.01533204441301 & 0.0290444454842851 \tabularnewline
0.32 & 3.02083380345328 & 0.0272740455933322 \tabularnewline
0.33 & 3.02603667662566 & 0.0255978686914303 \tabularnewline
0.34 & 3.03098337005213 & 0.0243929185521611 \tabularnewline
0.35 & 3.03577035969932 & 0.0239958007488498 \tabularnewline
0.36 & 3.04053312234105 & 0.0246208073109694 \tabularnewline
0.37 & 3.04542629224625 & 0.0263016555378467 \tabularnewline
0.38 & 3.05060142030864 & 0.0288878865985537 \tabularnewline
0.39 & 3.05618522601842 & 0.0321010897231160 \tabularnewline
0.4 & 3.06226115144234 & 0.0355804273100483 \tabularnewline
0.41 & 3.06885665308265 & 0.0389513897768894 \tabularnewline
0.42 & 3.07593800217385 & 0.0418434365955972 \tabularnewline
0.43 & 3.08341343414666 & 0.0439520639200438 \tabularnewline
0.44 & 3.09114437714835 & 0.0450493948776655 \tabularnewline
0.45 & 3.09896334450786 & 0.0450367407238748 \tabularnewline
0.46 & 3.10669608468506 & 0.0439364678656146 \tabularnewline
0.47 & 3.11418492747803 & 0.0419122126094575 \tabularnewline
0.48 & 3.1213100735618 & 0.0392332802830845 \tabularnewline
0.49 & 3.12800587923081 & 0.036259817394569 \tabularnewline
0.5 & 3.13426992262642 & 0.0334034589917462 \tabularnewline
0.51 & 3.14016365833111 & 0.0310880329096498 \tabularnewline
0.52 & 3.14580459785037 & 0.0296964040031467 \tabularnewline
0.53 & 3.15135103068647 & 0.0294971253990019 \tabularnewline
0.54 & 3.15698120345206 & 0.0305641457344756 \tabularnewline
0.55 & 3.16286953033292 & 0.0327536599156073 \tabularnewline
0.56 & 3.16916277933893 & 0.0357527169947427 \tabularnewline
0.57 & 3.17595924123244 & 0.0391442079620774 \tabularnewline
0.58 & 3.18329361990307 & 0.0424843493992964 \tabularnewline
0.59 & 3.19112977104107 & 0.0453478931857333 \tabularnewline
0.6 & 3.19936247909137 & 0.0473518371301278 \tabularnewline
0.61 & 3.20782827895078 & 0.0482184160957387 \tabularnewline
0.62 & 3.21632404993545 & 0.047792896023271 \tabularnewline
0.63 & 3.22463094480653 & 0.0460597145838189 \tabularnewline
0.64 & 3.23254038938519 & 0.0431511325950772 \tabularnewline
0.65 & 3.23987857318722 & 0.0393192516924719 \tabularnewline
0.66 & 3.24652611805248 & 0.0349085946573633 \tabularnewline
0.67 & 3.2524303976587 & 0.0303075167602992 \tabularnewline
0.68 & 3.25760910934929 & 0.0259137819164067 \tabularnewline
0.69 & 3.26214493683784 & 0.0220887127152322 \tabularnewline
0.7 & 3.26617227177036 & 0.0191348556091389 \tabularnewline
0.71 & 3.26985784662544 & 0.0172639797803545 \tabularnewline
0.72 & 3.27337773362422 & 0.0165267942677126 \tabularnewline
0.73 & 3.27689351767219 & 0.0167713343793342 \tabularnewline
0.74 & 3.28053059715188 & 0.0176765979574822 \tabularnewline
0.75 & 3.28436149213224 & 0.0188515249564488 \tabularnewline
0.76 & 3.28839665849094 & 0.0199188925204416 \tabularnewline
0.77 & 3.29258450096034 & 0.0205630167025262 \tabularnewline
0.78 & 3.29682099667127 & 0.0205570696737883 \tabularnewline
0.79 & 3.3009677027628 & 0.0197894121676613 \tabularnewline
0.8 & 3.30487526742191 & 0.0182700202962796 \tabularnewline
0.81 & 3.30840840192262 & 0.0161302237794383 \tabularnewline
0.82 & 3.31146811986854 & 0.0135887802889304 \tabularnewline
0.83 & 3.31400822111072 & 0.0109089713974698 \tabularnewline
0.84 & 3.31604540333996 & 0.00836156231716957 \tabularnewline
0.85 & 3.31766541589728 & 0.00619224239458402 \tabularnewline
0.86 & 3.31903015666845 & 0.00465078513560163 \tabularnewline
0.87 & 3.32039083984760 & 0.00412550861986742 \tabularnewline
0.88 & 3.32210827318540 & 0.0051413206678662 \tabularnewline
0.89 & 3.32467127194902 & 0.00796545001203507 \tabularnewline
0.9 & 3.32868914421454 & 0.0127010708753268 \tabularnewline
0.91 & 3.33482052319874 & 0.0193012846561191 \tabularnewline
0.92 & 3.34360313385593 & 0.0271567011708172 \tabularnewline
0.93 & 3.35518608408829 & 0.0347664325778544 \tabularnewline
0.94 & 3.36904495918348 & 0.0398163816105941 \tabularnewline
0.95 & 3.38385031654399 & 0.0399191160229055 \tabularnewline
0.96 & 3.39768279862442 & 0.0339672036599622 \tabularnewline
0.97 & 3.40865323021811 & 0.0233367322166680 \tabularnewline
0.98 & 3.41569618249988 & 0.011785399561914 \tabularnewline
0.99 & 3.41904832578203 & 0.00343500379126774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9582&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]2.90000472153814[/C][C]2.46074942629078e-05[/C][/ROW]
[ROW][C]0.02[/C][C]2.90003609650057[/C][C]0.000162770177509029[/C][/ROW]
[ROW][C]0.03[/C][C]2.90015749750047[/C][C]0.000618253390844394[/C][/ROW]
[ROW][C]0.04[/C][C]2.90050094766575[/C][C]0.00170065112345368[/C][/ROW]
[ROW][C]0.05[/C][C]2.90127918583341[/C][C]0.00372881488207518[/C][/ROW]
[ROW][C]0.06[/C][C]2.90276293190044[/C][C]0.00686258386744187[/C][/ROW]
[ROW][C]0.07[/C][C]2.90521768226913[/C][C]0.0109442605160024[/C][/ROW]
[ROW][C]0.08[/C][C]2.90881722388315[/C][C]0.0154554423101451[/C][/ROW]
[ROW][C]0.09[/C][C]2.9135682215566[/C][C]0.0196384310981603[/C][/ROW]
[ROW][C]0.1[/C][C]2.91927969611085[/C][C]0.0227227301974491[/C][/ROW]
[ROW][C]0.11[/C][C]2.92559258222926[/C][C]0.0241766955477302[/C][/ROW]
[ROW][C]0.12[/C][C]2.93205882659583[/C][C]0.0238457568681592[/C][/ROW]
[ROW][C]0.13[/C][C]2.93824076184815[/C][C]0.0219664113374478[/C][/ROW]
[ROW][C]0.14[/C][C]2.94379793923238[/C][C]0.01905383741833[/C][/ROW]
[ROW][C]0.15[/C][C]2.94853893764559[/C][C]0.0157362560827577[/C][/ROW]
[ROW][C]0.16[/C][C]2.9524320824161[/C][C]0.0126156739185184[/C][/ROW]
[ROW][C]0.17[/C][C]2.95558298678232[/C][C]0.010202320569018[/C][/ROW]
[ROW][C]0.18[/C][C]2.95819356935616[/C][C]0.00891300261041577[/C][/ROW]
[ROW][C]0.19[/C][C]2.96051665440440[/C][C]0.00899711072758295[/C][/ROW]
[ROW][C]0.2[/C][C]2.96281545717202[/C][C]0.0103964097948673[/C][/ROW]
[ROW][C]0.21[/C][C]2.96533178909922[/C][C]0.0128178252503186[/C][/ROW]
[ROW][C]0.22[/C][C]2.96826306846497[/C][C]0.0159264917565473[/C][/ROW]
[ROW][C]0.23[/C][C]2.97174683810904[/C][C]0.0194081292763356[/C][/ROW]
[ROW][C]0.24[/C][C]2.97585182897313[/C][C]0.0229258429184819[/C][/ROW]
[ROW][C]0.25[/C][C]2.98057552908459[/C][C]0.0261577235899241[/C][/ROW]
[ROW][C]0.26[/C][C]2.9858487666555[/C][C]0.0288008414362471[/C][/ROW]
[ROW][C]0.27[/C][C]2.9915475563131[/C][C]0.0306248843513043[/C][/ROW]
[ROW][C]0.28[/C][C]2.99751148180618[/C][C]0.0315039982576049[/C][/ROW]
[ROW][C]0.29[/C][C]3.0035666251202[/C][C]0.0314342679599999[/C][/ROW]
[ROW][C]0.3[/C][C]3.00955000659956[/C][C]0.0305355670972418[/C][/ROW]
[ROW][C]0.31[/C][C]3.01533204441301[/C][C]0.0290444454842851[/C][/ROW]
[ROW][C]0.32[/C][C]3.02083380345328[/C][C]0.0272740455933322[/C][/ROW]
[ROW][C]0.33[/C][C]3.02603667662566[/C][C]0.0255978686914303[/C][/ROW]
[ROW][C]0.34[/C][C]3.03098337005213[/C][C]0.0243929185521611[/C][/ROW]
[ROW][C]0.35[/C][C]3.03577035969932[/C][C]0.0239958007488498[/C][/ROW]
[ROW][C]0.36[/C][C]3.04053312234105[/C][C]0.0246208073109694[/C][/ROW]
[ROW][C]0.37[/C][C]3.04542629224625[/C][C]0.0263016555378467[/C][/ROW]
[ROW][C]0.38[/C][C]3.05060142030864[/C][C]0.0288878865985537[/C][/ROW]
[ROW][C]0.39[/C][C]3.05618522601842[/C][C]0.0321010897231160[/C][/ROW]
[ROW][C]0.4[/C][C]3.06226115144234[/C][C]0.0355804273100483[/C][/ROW]
[ROW][C]0.41[/C][C]3.06885665308265[/C][C]0.0389513897768894[/C][/ROW]
[ROW][C]0.42[/C][C]3.07593800217385[/C][C]0.0418434365955972[/C][/ROW]
[ROW][C]0.43[/C][C]3.08341343414666[/C][C]0.0439520639200438[/C][/ROW]
[ROW][C]0.44[/C][C]3.09114437714835[/C][C]0.0450493948776655[/C][/ROW]
[ROW][C]0.45[/C][C]3.09896334450786[/C][C]0.0450367407238748[/C][/ROW]
[ROW][C]0.46[/C][C]3.10669608468506[/C][C]0.0439364678656146[/C][/ROW]
[ROW][C]0.47[/C][C]3.11418492747803[/C][C]0.0419122126094575[/C][/ROW]
[ROW][C]0.48[/C][C]3.1213100735618[/C][C]0.0392332802830845[/C][/ROW]
[ROW][C]0.49[/C][C]3.12800587923081[/C][C]0.036259817394569[/C][/ROW]
[ROW][C]0.5[/C][C]3.13426992262642[/C][C]0.0334034589917462[/C][/ROW]
[ROW][C]0.51[/C][C]3.14016365833111[/C][C]0.0310880329096498[/C][/ROW]
[ROW][C]0.52[/C][C]3.14580459785037[/C][C]0.0296964040031467[/C][/ROW]
[ROW][C]0.53[/C][C]3.15135103068647[/C][C]0.0294971253990019[/C][/ROW]
[ROW][C]0.54[/C][C]3.15698120345206[/C][C]0.0305641457344756[/C][/ROW]
[ROW][C]0.55[/C][C]3.16286953033292[/C][C]0.0327536599156073[/C][/ROW]
[ROW][C]0.56[/C][C]3.16916277933893[/C][C]0.0357527169947427[/C][/ROW]
[ROW][C]0.57[/C][C]3.17595924123244[/C][C]0.0391442079620774[/C][/ROW]
[ROW][C]0.58[/C][C]3.18329361990307[/C][C]0.0424843493992964[/C][/ROW]
[ROW][C]0.59[/C][C]3.19112977104107[/C][C]0.0453478931857333[/C][/ROW]
[ROW][C]0.6[/C][C]3.19936247909137[/C][C]0.0473518371301278[/C][/ROW]
[ROW][C]0.61[/C][C]3.20782827895078[/C][C]0.0482184160957387[/C][/ROW]
[ROW][C]0.62[/C][C]3.21632404993545[/C][C]0.047792896023271[/C][/ROW]
[ROW][C]0.63[/C][C]3.22463094480653[/C][C]0.0460597145838189[/C][/ROW]
[ROW][C]0.64[/C][C]3.23254038938519[/C][C]0.0431511325950772[/C][/ROW]
[ROW][C]0.65[/C][C]3.23987857318722[/C][C]0.0393192516924719[/C][/ROW]
[ROW][C]0.66[/C][C]3.24652611805248[/C][C]0.0349085946573633[/C][/ROW]
[ROW][C]0.67[/C][C]3.2524303976587[/C][C]0.0303075167602992[/C][/ROW]
[ROW][C]0.68[/C][C]3.25760910934929[/C][C]0.0259137819164067[/C][/ROW]
[ROW][C]0.69[/C][C]3.26214493683784[/C][C]0.0220887127152322[/C][/ROW]
[ROW][C]0.7[/C][C]3.26617227177036[/C][C]0.0191348556091389[/C][/ROW]
[ROW][C]0.71[/C][C]3.26985784662544[/C][C]0.0172639797803545[/C][/ROW]
[ROW][C]0.72[/C][C]3.27337773362422[/C][C]0.0165267942677126[/C][/ROW]
[ROW][C]0.73[/C][C]3.27689351767219[/C][C]0.0167713343793342[/C][/ROW]
[ROW][C]0.74[/C][C]3.28053059715188[/C][C]0.0176765979574822[/C][/ROW]
[ROW][C]0.75[/C][C]3.28436149213224[/C][C]0.0188515249564488[/C][/ROW]
[ROW][C]0.76[/C][C]3.28839665849094[/C][C]0.0199188925204416[/C][/ROW]
[ROW][C]0.77[/C][C]3.29258450096034[/C][C]0.0205630167025262[/C][/ROW]
[ROW][C]0.78[/C][C]3.29682099667127[/C][C]0.0205570696737883[/C][/ROW]
[ROW][C]0.79[/C][C]3.3009677027628[/C][C]0.0197894121676613[/C][/ROW]
[ROW][C]0.8[/C][C]3.30487526742191[/C][C]0.0182700202962796[/C][/ROW]
[ROW][C]0.81[/C][C]3.30840840192262[/C][C]0.0161302237794383[/C][/ROW]
[ROW][C]0.82[/C][C]3.31146811986854[/C][C]0.0135887802889304[/C][/ROW]
[ROW][C]0.83[/C][C]3.31400822111072[/C][C]0.0109089713974698[/C][/ROW]
[ROW][C]0.84[/C][C]3.31604540333996[/C][C]0.00836156231716957[/C][/ROW]
[ROW][C]0.85[/C][C]3.31766541589728[/C][C]0.00619224239458402[/C][/ROW]
[ROW][C]0.86[/C][C]3.31903015666845[/C][C]0.00465078513560163[/C][/ROW]
[ROW][C]0.87[/C][C]3.32039083984760[/C][C]0.00412550861986742[/C][/ROW]
[ROW][C]0.88[/C][C]3.32210827318540[/C][C]0.0051413206678662[/C][/ROW]
[ROW][C]0.89[/C][C]3.32467127194902[/C][C]0.00796545001203507[/C][/ROW]
[ROW][C]0.9[/C][C]3.32868914421454[/C][C]0.0127010708753268[/C][/ROW]
[ROW][C]0.91[/C][C]3.33482052319874[/C][C]0.0193012846561191[/C][/ROW]
[ROW][C]0.92[/C][C]3.34360313385593[/C][C]0.0271567011708172[/C][/ROW]
[ROW][C]0.93[/C][C]3.35518608408829[/C][C]0.0347664325778544[/C][/ROW]
[ROW][C]0.94[/C][C]3.36904495918348[/C][C]0.0398163816105941[/C][/ROW]
[ROW][C]0.95[/C][C]3.38385031654399[/C][C]0.0399191160229055[/C][/ROW]
[ROW][C]0.96[/C][C]3.39768279862442[/C][C]0.0339672036599622[/C][/ROW]
[ROW][C]0.97[/C][C]3.40865323021811[/C][C]0.0233367322166680[/C][/ROW]
[ROW][C]0.98[/C][C]3.41569618249988[/C][C]0.011785399561914[/C][/ROW]
[ROW][C]0.99[/C][C]3.41904832578203[/C][C]0.00343500379126774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9582&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9582&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
0.012.900004721538142.46074942629078e-05
0.022.900036096500570.000162770177509029
0.032.900157497500470.000618253390844394
0.042.900500947665750.00170065112345368
0.052.901279185833410.00372881488207518
0.062.902762931900440.00686258386744187
0.072.905217682269130.0109442605160024
0.082.908817223883150.0154554423101451
0.092.91356822155660.0196384310981603
0.12.919279696110850.0227227301974491
0.112.925592582229260.0241766955477302
0.122.932058826595830.0238457568681592
0.132.938240761848150.0219664113374478
0.142.943797939232380.01905383741833
0.152.948538937645590.0157362560827577
0.162.95243208241610.0126156739185184
0.172.955582986782320.010202320569018
0.182.958193569356160.00891300261041577
0.192.960516654404400.00899711072758295
0.22.962815457172020.0103964097948673
0.212.965331789099220.0128178252503186
0.222.968263068464970.0159264917565473
0.232.971746838109040.0194081292763356
0.242.975851828973130.0229258429184819
0.252.980575529084590.0261577235899241
0.262.98584876665550.0288008414362471
0.272.99154755631310.0306248843513043
0.282.997511481806180.0315039982576049
0.293.00356662512020.0314342679599999
0.33.009550006599560.0305355670972418
0.313.015332044413010.0290444454842851
0.323.020833803453280.0272740455933322
0.333.026036676625660.0255978686914303
0.343.030983370052130.0243929185521611
0.353.035770359699320.0239958007488498
0.363.040533122341050.0246208073109694
0.373.045426292246250.0263016555378467
0.383.050601420308640.0288878865985537
0.393.056185226018420.0321010897231160
0.43.062261151442340.0355804273100483
0.413.068856653082650.0389513897768894
0.423.075938002173850.0418434365955972
0.433.083413434146660.0439520639200438
0.443.091144377148350.0450493948776655
0.453.098963344507860.0450367407238748
0.463.106696084685060.0439364678656146
0.473.114184927478030.0419122126094575
0.483.12131007356180.0392332802830845
0.493.128005879230810.036259817394569
0.53.134269922626420.0334034589917462
0.513.140163658331110.0310880329096498
0.523.145804597850370.0296964040031467
0.533.151351030686470.0294971253990019
0.543.156981203452060.0305641457344756
0.553.162869530332920.0327536599156073
0.563.169162779338930.0357527169947427
0.573.175959241232440.0391442079620774
0.583.183293619903070.0424843493992964
0.593.191129771041070.0453478931857333
0.63.199362479091370.0473518371301278
0.613.207828278950780.0482184160957387
0.623.216324049935450.047792896023271
0.633.224630944806530.0460597145838189
0.643.232540389385190.0431511325950772
0.653.239878573187220.0393192516924719
0.663.246526118052480.0349085946573633
0.673.25243039765870.0303075167602992
0.683.257609109349290.0259137819164067
0.693.262144936837840.0220887127152322
0.73.266172271770360.0191348556091389
0.713.269857846625440.0172639797803545
0.723.273377733624220.0165267942677126
0.733.276893517672190.0167713343793342
0.743.280530597151880.0176765979574822
0.753.284361492132240.0188515249564488
0.763.288396658490940.0199188925204416
0.773.292584500960340.0205630167025262
0.783.296820996671270.0205570696737883
0.793.30096770276280.0197894121676613
0.83.304875267421910.0182700202962796
0.813.308408401922620.0161302237794383
0.823.311468119868540.0135887802889304
0.833.314008221110720.0109089713974698
0.843.316045403339960.00836156231716957
0.853.317665415897280.00619224239458402
0.863.319030156668450.00465078513560163
0.873.320390839847600.00412550861986742
0.883.322108273185400.0051413206678662
0.893.324671271949020.00796545001203507
0.93.328689144214540.0127010708753268
0.913.334820523198740.0193012846561191
0.923.343603133855930.0271567011708172
0.933.355186084088290.0347664325778544
0.943.369044959183480.0398163816105941
0.953.383850316543990.0399191160229055
0.963.397682798624420.0339672036599622
0.973.408653230218110.0233367322166680
0.983.415696182499880.011785399561914
0.993.419048325782030.00343500379126774


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')