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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, 14 Jan 2013 04:42:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/14/t1358156598m6k8z7f99aj4ag8.htm/, Retrieved Sun, 28 Apr 2024 00:57:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205312, Retrieved Sun, 28 Apr 2024 00:57:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

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] [opdracht 4 edit] [2013-01-14 09:42:38] [91a4a62a2651e4f95a22762c3a012f20] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46.56
46.72
47.01
47.26
47.49
47.51
47.52
47.66
47.71
47.87
48
48
48.05
48.25
48.72
48.94
49.16
49.18
49.25
49.34
49.49
49.57
49.63
49.67
49.7
49.8
50.09
50.49
50.73
51.12
51.15
51.41
51.61
52.06
52.17
52.18
52.19
52.74
53.05
53.38
53.78
53.82
53.88
53.96
54.14
54.2
54.35
54.36
54.39
54.77
54.91
55.06
55.38
55.41
55.47
55.58
55.67
55.97
56.03
56.06
56.08
56.43
56.65
56.96
57.37
57.51
57.61
57.7
57.91
58.12
58.18
58.16

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205312&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205312&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.63106426186960.1947449773314
0.0246.75515518228260.25360502175875
0.0346.90362540917190.292155600105548
0.0447.0530212336180.29661401582313
0.0547.18956567930110.276399287295303
0.0647.3075994491770.246651015197562
0.0747.40730582637250.220682528367065
0.0847.49240997858090.206898169811128
0.0947.56807024201660.207696287563027
0.147.63932654810080.220767705169618
0.1147.71028502063040.242533128782293
0.1247.78393257046320.270496651685077
0.1347.86230892462340.303527765570181
0.1447.94675743525940.340873971380403
0.1548.03807820075630.381282319776014
0.1648.13653964768240.422179939261966
0.1748.24180556826160.460190311592193
0.1848.35287534632810.491626104986949
0.1948.46811941151020.513308717052056
0.248.5854429134870.523425040070396
0.2148.70255626422730.521764458272745
0.2248.81729346258640.509850246830821
0.2348.92790797149090.490554970688095
0.2449.03328920785340.46751694813909
0.2549.1330701844740.444770970560081
0.2649.22762604840650.425917512655494
0.2749.31798462028050.414274407674594
0.2849.40567950842250.412002591478346
0.2949.49257525839220.420524440435771
0.349.58068683703910.440187043593406
0.3149.67200759085180.470314019868793
0.3249.76835413649680.509293932544908
0.3349.87123447801030.554970022113676
0.3449.98174594808480.604670996157891
0.3550.10051026467390.655593324484404
0.3650.22765216930920.704971236666052
0.3750.36282485290050.750284978236472
0.3850.50527999528390.789689201559042
0.3950.65397400614070.821949486611804
0.450.80769656929470.846699913760889
0.4150.96520422269920.864310955374025
0.4251.12534117545320.875658705566712
0.4351.28713186345090.88231462085175
0.4451.44983430120410.88569319183378
0.4551.6129492349280.887237183433347
0.4651.77618654003220.888228094308953
0.4751.93939642993920.889232830201634
0.4852.1024781570250.890275834389531
0.4952.26528236384720.89052839045979
0.552.42752452281420.888947507491927
0.5152.58872557785760.884026949667003
0.5252.74819188427540.874138840746488
0.5352.90504022718610.858168731345716
0.5453.05826602180180.8353958513159
0.5553.20684512306090.805918701344749
0.5653.34985349751260.770666216887341
0.5753.48658559183540.731177868309333
0.5853.61665224132980.689662706056135
0.5953.74004231247530.648639233466573
0.653.85713817888620.610497853205786
0.6153.96868235745070.577578988887388
0.6254.07569985672950.551396287290676
0.6354.17938691083580.532780811200907
0.6454.28098107995570.521691445714492
0.6554.38162987372830.516979541347935
0.6654.48227504134220.517066251271192
0.6754.58356754484330.519895804006197
0.6854.68582413953950.523154093080841
0.6954.78903073484030.524997537242181
0.754.89289092541870.52388300701841
0.7154.99691132284520.518979354823965
0.7255.10050999297470.510108222405742
0.7355.20313183053650.497721361401424
0.7455.3043559312940.48289096952327
0.7555.4039846606530.467088631791611
0.7655.50211044967890.451721455642348
0.7755.59916154838620.438424155266451
0.7855.69592909046360.42869539138725
0.7955.79357326401640.424081991922705
0.855.89359719567350.425923360635342
0.8155.99776756483710.435373345223696
0.8256.10795749222080.452633041842
0.8356.22589642265410.476659756914498
0.8456.35283697012850.504708901223701
0.8556.489187424320.532391312751284
0.8656.63420063726890.55420047111546
0.8756.78583808741480.564482295304922
0.8856.94092113292420.5588671644491
0.8957.0956218379850.535542081982166
0.957.2462284636810.49618418390165
0.9157.38996686162250.446225733496645
0.9257.52552666189190.393400777517099
0.9357.65292496137970.345031192555326
0.9457.77254334232170.303910830577935
0.9557.88363328519210.265631149554162
0.9657.98314834771120.22107767222541
0.9758.06599232581430.164100507340974
0.9858.12711059082180.099527897029119
0.9958.16432969706440.0445402796978949

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46.6310642618696 & 0.1947449773314 \tabularnewline
0.02 & 46.7551551822826 & 0.25360502175875 \tabularnewline
0.03 & 46.9036254091719 & 0.292155600105548 \tabularnewline
0.04 & 47.053021233618 & 0.29661401582313 \tabularnewline
0.05 & 47.1895656793011 & 0.276399287295303 \tabularnewline
0.06 & 47.307599449177 & 0.246651015197562 \tabularnewline
0.07 & 47.4073058263725 & 0.220682528367065 \tabularnewline
0.08 & 47.4924099785809 & 0.206898169811128 \tabularnewline
0.09 & 47.5680702420166 & 0.207696287563027 \tabularnewline
0.1 & 47.6393265481008 & 0.220767705169618 \tabularnewline
0.11 & 47.7102850206304 & 0.242533128782293 \tabularnewline
0.12 & 47.7839325704632 & 0.270496651685077 \tabularnewline
0.13 & 47.8623089246234 & 0.303527765570181 \tabularnewline
0.14 & 47.9467574352594 & 0.340873971380403 \tabularnewline
0.15 & 48.0380782007563 & 0.381282319776014 \tabularnewline
0.16 & 48.1365396476824 & 0.422179939261966 \tabularnewline
0.17 & 48.2418055682616 & 0.460190311592193 \tabularnewline
0.18 & 48.3528753463281 & 0.491626104986949 \tabularnewline
0.19 & 48.4681194115102 & 0.513308717052056 \tabularnewline
0.2 & 48.585442913487 & 0.523425040070396 \tabularnewline
0.21 & 48.7025562642273 & 0.521764458272745 \tabularnewline
0.22 & 48.8172934625864 & 0.509850246830821 \tabularnewline
0.23 & 48.9279079714909 & 0.490554970688095 \tabularnewline
0.24 & 49.0332892078534 & 0.46751694813909 \tabularnewline
0.25 & 49.133070184474 & 0.444770970560081 \tabularnewline
0.26 & 49.2276260484065 & 0.425917512655494 \tabularnewline
0.27 & 49.3179846202805 & 0.414274407674594 \tabularnewline
0.28 & 49.4056795084225 & 0.412002591478346 \tabularnewline
0.29 & 49.4925752583922 & 0.420524440435771 \tabularnewline
0.3 & 49.5806868370391 & 0.440187043593406 \tabularnewline
0.31 & 49.6720075908518 & 0.470314019868793 \tabularnewline
0.32 & 49.7683541364968 & 0.509293932544908 \tabularnewline
0.33 & 49.8712344780103 & 0.554970022113676 \tabularnewline
0.34 & 49.9817459480848 & 0.604670996157891 \tabularnewline
0.35 & 50.1005102646739 & 0.655593324484404 \tabularnewline
0.36 & 50.2276521693092 & 0.704971236666052 \tabularnewline
0.37 & 50.3628248529005 & 0.750284978236472 \tabularnewline
0.38 & 50.5052799952839 & 0.789689201559042 \tabularnewline
0.39 & 50.6539740061407 & 0.821949486611804 \tabularnewline
0.4 & 50.8076965692947 & 0.846699913760889 \tabularnewline
0.41 & 50.9652042226992 & 0.864310955374025 \tabularnewline
0.42 & 51.1253411754532 & 0.875658705566712 \tabularnewline
0.43 & 51.2871318634509 & 0.88231462085175 \tabularnewline
0.44 & 51.4498343012041 & 0.88569319183378 \tabularnewline
0.45 & 51.612949234928 & 0.887237183433347 \tabularnewline
0.46 & 51.7761865400322 & 0.888228094308953 \tabularnewline
0.47 & 51.9393964299392 & 0.889232830201634 \tabularnewline
0.48 & 52.102478157025 & 0.890275834389531 \tabularnewline
0.49 & 52.2652823638472 & 0.89052839045979 \tabularnewline
0.5 & 52.4275245228142 & 0.888947507491927 \tabularnewline
0.51 & 52.5887255778576 & 0.884026949667003 \tabularnewline
0.52 & 52.7481918842754 & 0.874138840746488 \tabularnewline
0.53 & 52.9050402271861 & 0.858168731345716 \tabularnewline
0.54 & 53.0582660218018 & 0.8353958513159 \tabularnewline
0.55 & 53.2068451230609 & 0.805918701344749 \tabularnewline
0.56 & 53.3498534975126 & 0.770666216887341 \tabularnewline
0.57 & 53.4865855918354 & 0.731177868309333 \tabularnewline
0.58 & 53.6166522413298 & 0.689662706056135 \tabularnewline
0.59 & 53.7400423124753 & 0.648639233466573 \tabularnewline
0.6 & 53.8571381788862 & 0.610497853205786 \tabularnewline
0.61 & 53.9686823574507 & 0.577578988887388 \tabularnewline
0.62 & 54.0756998567295 & 0.551396287290676 \tabularnewline
0.63 & 54.1793869108358 & 0.532780811200907 \tabularnewline
0.64 & 54.2809810799557 & 0.521691445714492 \tabularnewline
0.65 & 54.3816298737283 & 0.516979541347935 \tabularnewline
0.66 & 54.4822750413422 & 0.517066251271192 \tabularnewline
0.67 & 54.5835675448433 & 0.519895804006197 \tabularnewline
0.68 & 54.6858241395395 & 0.523154093080841 \tabularnewline
0.69 & 54.7890307348403 & 0.524997537242181 \tabularnewline
0.7 & 54.8928909254187 & 0.52388300701841 \tabularnewline
0.71 & 54.9969113228452 & 0.518979354823965 \tabularnewline
0.72 & 55.1005099929747 & 0.510108222405742 \tabularnewline
0.73 & 55.2031318305365 & 0.497721361401424 \tabularnewline
0.74 & 55.304355931294 & 0.48289096952327 \tabularnewline
0.75 & 55.403984660653 & 0.467088631791611 \tabularnewline
0.76 & 55.5021104496789 & 0.451721455642348 \tabularnewline
0.77 & 55.5991615483862 & 0.438424155266451 \tabularnewline
0.78 & 55.6959290904636 & 0.42869539138725 \tabularnewline
0.79 & 55.7935732640164 & 0.424081991922705 \tabularnewline
0.8 & 55.8935971956735 & 0.425923360635342 \tabularnewline
0.81 & 55.9977675648371 & 0.435373345223696 \tabularnewline
0.82 & 56.1079574922208 & 0.452633041842 \tabularnewline
0.83 & 56.2258964226541 & 0.476659756914498 \tabularnewline
0.84 & 56.3528369701285 & 0.504708901223701 \tabularnewline
0.85 & 56.48918742432 & 0.532391312751284 \tabularnewline
0.86 & 56.6342006372689 & 0.55420047111546 \tabularnewline
0.87 & 56.7858380874148 & 0.564482295304922 \tabularnewline
0.88 & 56.9409211329242 & 0.5588671644491 \tabularnewline
0.89 & 57.095621837985 & 0.535542081982166 \tabularnewline
0.9 & 57.246228463681 & 0.49618418390165 \tabularnewline
0.91 & 57.3899668616225 & 0.446225733496645 \tabularnewline
0.92 & 57.5255266618919 & 0.393400777517099 \tabularnewline
0.93 & 57.6529249613797 & 0.345031192555326 \tabularnewline
0.94 & 57.7725433423217 & 0.303910830577935 \tabularnewline
0.95 & 57.8836332851921 & 0.265631149554162 \tabularnewline
0.96 & 57.9831483477112 & 0.22107767222541 \tabularnewline
0.97 & 58.0659923258143 & 0.164100507340974 \tabularnewline
0.98 & 58.1271105908218 & 0.099527897029119 \tabularnewline
0.99 & 58.1643296970644 & 0.0445402796978949 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205312&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]46.6310642618696[/C][C]0.1947449773314[/C][/ROW]
[ROW][C]0.02[/C][C]46.7551551822826[/C][C]0.25360502175875[/C][/ROW]
[ROW][C]0.03[/C][C]46.9036254091719[/C][C]0.292155600105548[/C][/ROW]
[ROW][C]0.04[/C][C]47.053021233618[/C][C]0.29661401582313[/C][/ROW]
[ROW][C]0.05[/C][C]47.1895656793011[/C][C]0.276399287295303[/C][/ROW]
[ROW][C]0.06[/C][C]47.307599449177[/C][C]0.246651015197562[/C][/ROW]
[ROW][C]0.07[/C][C]47.4073058263725[/C][C]0.220682528367065[/C][/ROW]
[ROW][C]0.08[/C][C]47.4924099785809[/C][C]0.206898169811128[/C][/ROW]
[ROW][C]0.09[/C][C]47.5680702420166[/C][C]0.207696287563027[/C][/ROW]
[ROW][C]0.1[/C][C]47.6393265481008[/C][C]0.220767705169618[/C][/ROW]
[ROW][C]0.11[/C][C]47.7102850206304[/C][C]0.242533128782293[/C][/ROW]
[ROW][C]0.12[/C][C]47.7839325704632[/C][C]0.270496651685077[/C][/ROW]
[ROW][C]0.13[/C][C]47.8623089246234[/C][C]0.303527765570181[/C][/ROW]
[ROW][C]0.14[/C][C]47.9467574352594[/C][C]0.340873971380403[/C][/ROW]
[ROW][C]0.15[/C][C]48.0380782007563[/C][C]0.381282319776014[/C][/ROW]
[ROW][C]0.16[/C][C]48.1365396476824[/C][C]0.422179939261966[/C][/ROW]
[ROW][C]0.17[/C][C]48.2418055682616[/C][C]0.460190311592193[/C][/ROW]
[ROW][C]0.18[/C][C]48.3528753463281[/C][C]0.491626104986949[/C][/ROW]
[ROW][C]0.19[/C][C]48.4681194115102[/C][C]0.513308717052056[/C][/ROW]
[ROW][C]0.2[/C][C]48.585442913487[/C][C]0.523425040070396[/C][/ROW]
[ROW][C]0.21[/C][C]48.7025562642273[/C][C]0.521764458272745[/C][/ROW]
[ROW][C]0.22[/C][C]48.8172934625864[/C][C]0.509850246830821[/C][/ROW]
[ROW][C]0.23[/C][C]48.9279079714909[/C][C]0.490554970688095[/C][/ROW]
[ROW][C]0.24[/C][C]49.0332892078534[/C][C]0.46751694813909[/C][/ROW]
[ROW][C]0.25[/C][C]49.133070184474[/C][C]0.444770970560081[/C][/ROW]
[ROW][C]0.26[/C][C]49.2276260484065[/C][C]0.425917512655494[/C][/ROW]
[ROW][C]0.27[/C][C]49.3179846202805[/C][C]0.414274407674594[/C][/ROW]
[ROW][C]0.28[/C][C]49.4056795084225[/C][C]0.412002591478346[/C][/ROW]
[ROW][C]0.29[/C][C]49.4925752583922[/C][C]0.420524440435771[/C][/ROW]
[ROW][C]0.3[/C][C]49.5806868370391[/C][C]0.440187043593406[/C][/ROW]
[ROW][C]0.31[/C][C]49.6720075908518[/C][C]0.470314019868793[/C][/ROW]
[ROW][C]0.32[/C][C]49.7683541364968[/C][C]0.509293932544908[/C][/ROW]
[ROW][C]0.33[/C][C]49.8712344780103[/C][C]0.554970022113676[/C][/ROW]
[ROW][C]0.34[/C][C]49.9817459480848[/C][C]0.604670996157891[/C][/ROW]
[ROW][C]0.35[/C][C]50.1005102646739[/C][C]0.655593324484404[/C][/ROW]
[ROW][C]0.36[/C][C]50.2276521693092[/C][C]0.704971236666052[/C][/ROW]
[ROW][C]0.37[/C][C]50.3628248529005[/C][C]0.750284978236472[/C][/ROW]
[ROW][C]0.38[/C][C]50.5052799952839[/C][C]0.789689201559042[/C][/ROW]
[ROW][C]0.39[/C][C]50.6539740061407[/C][C]0.821949486611804[/C][/ROW]
[ROW][C]0.4[/C][C]50.8076965692947[/C][C]0.846699913760889[/C][/ROW]
[ROW][C]0.41[/C][C]50.9652042226992[/C][C]0.864310955374025[/C][/ROW]
[ROW][C]0.42[/C][C]51.1253411754532[/C][C]0.875658705566712[/C][/ROW]
[ROW][C]0.43[/C][C]51.2871318634509[/C][C]0.88231462085175[/C][/ROW]
[ROW][C]0.44[/C][C]51.4498343012041[/C][C]0.88569319183378[/C][/ROW]
[ROW][C]0.45[/C][C]51.612949234928[/C][C]0.887237183433347[/C][/ROW]
[ROW][C]0.46[/C][C]51.7761865400322[/C][C]0.888228094308953[/C][/ROW]
[ROW][C]0.47[/C][C]51.9393964299392[/C][C]0.889232830201634[/C][/ROW]
[ROW][C]0.48[/C][C]52.102478157025[/C][C]0.890275834389531[/C][/ROW]
[ROW][C]0.49[/C][C]52.2652823638472[/C][C]0.89052839045979[/C][/ROW]
[ROW][C]0.5[/C][C]52.4275245228142[/C][C]0.888947507491927[/C][/ROW]
[ROW][C]0.51[/C][C]52.5887255778576[/C][C]0.884026949667003[/C][/ROW]
[ROW][C]0.52[/C][C]52.7481918842754[/C][C]0.874138840746488[/C][/ROW]
[ROW][C]0.53[/C][C]52.9050402271861[/C][C]0.858168731345716[/C][/ROW]
[ROW][C]0.54[/C][C]53.0582660218018[/C][C]0.8353958513159[/C][/ROW]
[ROW][C]0.55[/C][C]53.2068451230609[/C][C]0.805918701344749[/C][/ROW]
[ROW][C]0.56[/C][C]53.3498534975126[/C][C]0.770666216887341[/C][/ROW]
[ROW][C]0.57[/C][C]53.4865855918354[/C][C]0.731177868309333[/C][/ROW]
[ROW][C]0.58[/C][C]53.6166522413298[/C][C]0.689662706056135[/C][/ROW]
[ROW][C]0.59[/C][C]53.7400423124753[/C][C]0.648639233466573[/C][/ROW]
[ROW][C]0.6[/C][C]53.8571381788862[/C][C]0.610497853205786[/C][/ROW]
[ROW][C]0.61[/C][C]53.9686823574507[/C][C]0.577578988887388[/C][/ROW]
[ROW][C]0.62[/C][C]54.0756998567295[/C][C]0.551396287290676[/C][/ROW]
[ROW][C]0.63[/C][C]54.1793869108358[/C][C]0.532780811200907[/C][/ROW]
[ROW][C]0.64[/C][C]54.2809810799557[/C][C]0.521691445714492[/C][/ROW]
[ROW][C]0.65[/C][C]54.3816298737283[/C][C]0.516979541347935[/C][/ROW]
[ROW][C]0.66[/C][C]54.4822750413422[/C][C]0.517066251271192[/C][/ROW]
[ROW][C]0.67[/C][C]54.5835675448433[/C][C]0.519895804006197[/C][/ROW]
[ROW][C]0.68[/C][C]54.6858241395395[/C][C]0.523154093080841[/C][/ROW]
[ROW][C]0.69[/C][C]54.7890307348403[/C][C]0.524997537242181[/C][/ROW]
[ROW][C]0.7[/C][C]54.8928909254187[/C][C]0.52388300701841[/C][/ROW]
[ROW][C]0.71[/C][C]54.9969113228452[/C][C]0.518979354823965[/C][/ROW]
[ROW][C]0.72[/C][C]55.1005099929747[/C][C]0.510108222405742[/C][/ROW]
[ROW][C]0.73[/C][C]55.2031318305365[/C][C]0.497721361401424[/C][/ROW]
[ROW][C]0.74[/C][C]55.304355931294[/C][C]0.48289096952327[/C][/ROW]
[ROW][C]0.75[/C][C]55.403984660653[/C][C]0.467088631791611[/C][/ROW]
[ROW][C]0.76[/C][C]55.5021104496789[/C][C]0.451721455642348[/C][/ROW]
[ROW][C]0.77[/C][C]55.5991615483862[/C][C]0.438424155266451[/C][/ROW]
[ROW][C]0.78[/C][C]55.6959290904636[/C][C]0.42869539138725[/C][/ROW]
[ROW][C]0.79[/C][C]55.7935732640164[/C][C]0.424081991922705[/C][/ROW]
[ROW][C]0.8[/C][C]55.8935971956735[/C][C]0.425923360635342[/C][/ROW]
[ROW][C]0.81[/C][C]55.9977675648371[/C][C]0.435373345223696[/C][/ROW]
[ROW][C]0.82[/C][C]56.1079574922208[/C][C]0.452633041842[/C][/ROW]
[ROW][C]0.83[/C][C]56.2258964226541[/C][C]0.476659756914498[/C][/ROW]
[ROW][C]0.84[/C][C]56.3528369701285[/C][C]0.504708901223701[/C][/ROW]
[ROW][C]0.85[/C][C]56.48918742432[/C][C]0.532391312751284[/C][/ROW]
[ROW][C]0.86[/C][C]56.6342006372689[/C][C]0.55420047111546[/C][/ROW]
[ROW][C]0.87[/C][C]56.7858380874148[/C][C]0.564482295304922[/C][/ROW]
[ROW][C]0.88[/C][C]56.9409211329242[/C][C]0.5588671644491[/C][/ROW]
[ROW][C]0.89[/C][C]57.095621837985[/C][C]0.535542081982166[/C][/ROW]
[ROW][C]0.9[/C][C]57.246228463681[/C][C]0.49618418390165[/C][/ROW]
[ROW][C]0.91[/C][C]57.3899668616225[/C][C]0.446225733496645[/C][/ROW]
[ROW][C]0.92[/C][C]57.5255266618919[/C][C]0.393400777517099[/C][/ROW]
[ROW][C]0.93[/C][C]57.6529249613797[/C][C]0.345031192555326[/C][/ROW]
[ROW][C]0.94[/C][C]57.7725433423217[/C][C]0.303910830577935[/C][/ROW]
[ROW][C]0.95[/C][C]57.8836332851921[/C][C]0.265631149554162[/C][/ROW]
[ROW][C]0.96[/C][C]57.9831483477112[/C][C]0.22107767222541[/C][/ROW]
[ROW][C]0.97[/C][C]58.0659923258143[/C][C]0.164100507340974[/C][/ROW]
[ROW][C]0.98[/C][C]58.1271105908218[/C][C]0.099527897029119[/C][/ROW]
[ROW][C]0.99[/C][C]58.1643296970644[/C][C]0.0445402796978949[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205312&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
0.0146.63106426186960.1947449773314
0.0246.75515518228260.25360502175875
0.0346.90362540917190.292155600105548
0.0447.0530212336180.29661401582313
0.0547.18956567930110.276399287295303
0.0647.3075994491770.246651015197562
0.0747.40730582637250.220682528367065
0.0847.49240997858090.206898169811128
0.0947.56807024201660.207696287563027
0.147.63932654810080.220767705169618
0.1147.71028502063040.242533128782293
0.1247.78393257046320.270496651685077
0.1347.86230892462340.303527765570181
0.1447.94675743525940.340873971380403
0.1548.03807820075630.381282319776014
0.1648.13653964768240.422179939261966
0.1748.24180556826160.460190311592193
0.1848.35287534632810.491626104986949
0.1948.46811941151020.513308717052056
0.248.5854429134870.523425040070396
0.2148.70255626422730.521764458272745
0.2248.81729346258640.509850246830821
0.2348.92790797149090.490554970688095
0.2449.03328920785340.46751694813909
0.2549.1330701844740.444770970560081
0.2649.22762604840650.425917512655494
0.2749.31798462028050.414274407674594
0.2849.40567950842250.412002591478346
0.2949.49257525839220.420524440435771
0.349.58068683703910.440187043593406
0.3149.67200759085180.470314019868793
0.3249.76835413649680.509293932544908
0.3349.87123447801030.554970022113676
0.3449.98174594808480.604670996157891
0.3550.10051026467390.655593324484404
0.3650.22765216930920.704971236666052
0.3750.36282485290050.750284978236472
0.3850.50527999528390.789689201559042
0.3950.65397400614070.821949486611804
0.450.80769656929470.846699913760889
0.4150.96520422269920.864310955374025
0.4251.12534117545320.875658705566712
0.4351.28713186345090.88231462085175
0.4451.44983430120410.88569319183378
0.4551.6129492349280.887237183433347
0.4651.77618654003220.888228094308953
0.4751.93939642993920.889232830201634
0.4852.1024781570250.890275834389531
0.4952.26528236384720.89052839045979
0.552.42752452281420.888947507491927
0.5152.58872557785760.884026949667003
0.5252.74819188427540.874138840746488
0.5352.90504022718610.858168731345716
0.5453.05826602180180.8353958513159
0.5553.20684512306090.805918701344749
0.5653.34985349751260.770666216887341
0.5753.48658559183540.731177868309333
0.5853.61665224132980.689662706056135
0.5953.74004231247530.648639233466573
0.653.85713817888620.610497853205786
0.6153.96868235745070.577578988887388
0.6254.07569985672950.551396287290676
0.6354.17938691083580.532780811200907
0.6454.28098107995570.521691445714492
0.6554.38162987372830.516979541347935
0.6654.48227504134220.517066251271192
0.6754.58356754484330.519895804006197
0.6854.68582413953950.523154093080841
0.6954.78903073484030.524997537242181
0.754.89289092541870.52388300701841
0.7154.99691132284520.518979354823965
0.7255.10050999297470.510108222405742
0.7355.20313183053650.497721361401424
0.7455.3043559312940.48289096952327
0.7555.4039846606530.467088631791611
0.7655.50211044967890.451721455642348
0.7755.59916154838620.438424155266451
0.7855.69592909046360.42869539138725
0.7955.79357326401640.424081991922705
0.855.89359719567350.425923360635342
0.8155.99776756483710.435373345223696
0.8256.10795749222080.452633041842
0.8356.22589642265410.476659756914498
0.8456.35283697012850.504708901223701
0.8556.489187424320.532391312751284
0.8656.63420063726890.55420047111546
0.8756.78583808741480.564482295304922
0.8856.94092113292420.5588671644491
0.8957.0956218379850.535542081982166
0.957.2462284636810.49618418390165
0.9157.38996686162250.446225733496645
0.9257.52552666189190.393400777517099
0.9357.65292496137970.345031192555326
0.9457.77254334232170.303910830577935
0.9557.88363328519210.265631149554162
0.9657.98314834771120.22107767222541
0.9758.06599232581430.164100507340974
0.9858.12711059082180.099527897029119
0.9958.16432969706440.0445402796978949


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')