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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 15:01:22 -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/t1204495448zujz1fjpgcfndqn.htm/, Retrieved Mon, 06 May 2024 21:42:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9786, Retrieved Mon, 06 May 2024 21:42:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

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 perc...] [2008-03-02 22:01:22] [0de5017ea2334b95113159299296029a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
66.2
66.2
66.08
66.31
66.39
66.37
66.23
66.27
66.27
66.27
66.28
66.28
66.28
66.26
66.13
65.86
65.9
65.94
65.94
65.91
65.95
65.91
66.08
66.47
66.47
66.56
66.78
67.08
67.28
67.27
67.27
67.26
67.37
67.5
67.63
67.64
67.64
67.71
67.87
67.93
68.33
68.39
68.39
68.58
68.44
68.49
68.52
68.54
68.54
68.54
68.62
68.75
68.71
68.72
68.72
68.72
68.92
68.9
69.12
69.09
69.09
69.1
69.16
68.83
68.52
68.53
68.53
68.51
68.38
68.44
68.41
68.42
68.42
68.45
68.63
68.84
68.72
68.37
68.37
68.47
68.69
68.46
68.17
68.17

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9786&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9786&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9786&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.87346298235160.0306238667824109
0.0265.89115101479280.0220315951443376
0.0365.90696512937470.0219400256944243
0.0465.92168582932160.0305786917861865
0.0565.93824111695030.0445315376471791
0.0665.95868110892190.0608738190589143
0.0765.98362494096020.0766787171788638
0.0866.0125180643970.0892734045918357
0.0966.04402614138870.096816367303527
0.166.07646769584350.09888029676143
0.1166.10821944943250.0962684245240649
0.1266.1380013365350.0902639111502542
0.1366.1650013486640.082159631552387
0.1466.18887266117570.073372945238517
0.1566.20966731527440.0650131601663612
0.1666.22775913570110.0580460428600411
0.1766.2437803004150.0536471083344285
0.1866.25857354793870.0529745351057238
0.1966.27315229992340.057081515323674
0.266.28866046580910.0665917253364846
0.2166.30632656125960.0818390480087524
0.2266.3274092757430.102815879236049
0.2366.35313284225250.129260734170722
0.2466.3846114405350.160509006991320
0.2566.42276390254450.195675544252784
0.2666.46822403650150.233213841166183
0.2766.52125738065170.271265133794479
0.2866.58170012260630.307618089176454
0.2966.64893758548780.339819515321608
0.366.72193602929850.365977056987796
0.3166.79933232071130.384678845918356
0.3266.87957335835530.395199802066207
0.3366.96108477896270.397947160476881
0.3467.04244046029820.394086740689903
0.3567.1225033767280.385456776573862
0.3667.20051473667580.374161702684522
0.3767.2761198803250.362478469681789
0.3867.34933250909350.352097532394729
0.3967.42044981512960.344311783673514
0.467.4899376087810.339514728722639
0.4167.5583060775710.337676471424605
0.4267.62599440853490.337665802652569
0.4367.69327798436020.338692877949561
0.4467.7602068900330.339108995331785
0.4567.826579981940.337651792966660
0.4667.89195492926880.332867390682694
0.4767.9556911543770.324122666667129
0.4868.01701923781040.310660318390592
0.4968.07512725756760.292716911604226
0.568.12925225070.270579167456351
0.5168.17876422387510.245356508493483
0.5268.22323139062250.218142475339526
0.5368.2624585656040.190268420991046
0.5468.29649530852750.163256367324718
0.5568.3256154696810.138062991117131
0.5668.3502741305020.11561421105603
0.5768.3710506810420.0964614301828584
0.5868.388587536320.080800927095573
0.5968.40353291410620.068657357016615
0.668.41649375845890.059622726024185
0.6168.42800208040740.0532802593081776
0.6268.43849543058120.04915787486916
0.6368.44831039757910.0464419224523001
0.6468.45768707972790.0447392613795742
0.6568.46678223844490.0435753567162326
0.6668.47568895676660.0426211470980556
0.6768.48446072301940.0417129736494494
0.6868.49313768560790.0408833946773695
0.6968.5017723363460.0402167208061955
0.768.51045124943070.0398862330372757
0.7168.51930906289940.0402314263593151
0.7268.52853102823490.0415439463583396
0.7368.53834149955040.0440145322142775
0.7468.54897784098660.04767210003808
0.7568.56065229049540.0521701050167956
0.7668.57350790187990.0571626613144908
0.7768.58757804232130.0620512384076503
0.7868.60276103862520.0659980327645897
0.7968.61882133471660.0686020106581898
0.868.63542502365350.0693006709405524
0.8168.65221052250640.068130354039648
0.8268.6688852300520.0654080459188645
0.8368.68532852447920.0620231992359856
0.8468.70167424495160.0591612198085663
0.8568.71834634345580.0581021526568488
0.8668.73603259679940.0599437573088556
0.8768.75560106955460.0649099023503476
0.8868.77798266715750.0725588572447185
0.8968.80404501568240.081979740520699
0.968.8344573473840.0922170890586784
0.9168.86950610026880.102127298020669
0.9268.90881599205780.109944661744994
0.9368.95102481719760.112814474743684
0.9468.99365335414340.107452181886675
0.9569.03355735448360.0922618540742395
0.9669.06817449973140.0697611903422867
0.9769.09708162387550.0471949634485992
0.9869.12225803052680.0339067478008120
0.9969.14487767424670.0341899237721055

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.8734629823516 & 0.0306238667824109 \tabularnewline
0.02 & 65.8911510147928 & 0.0220315951443376 \tabularnewline
0.03 & 65.9069651293747 & 0.0219400256944243 \tabularnewline
0.04 & 65.9216858293216 & 0.0305786917861865 \tabularnewline
0.05 & 65.9382411169503 & 0.0445315376471791 \tabularnewline
0.06 & 65.9586811089219 & 0.0608738190589143 \tabularnewline
0.07 & 65.9836249409602 & 0.0766787171788638 \tabularnewline
0.08 & 66.012518064397 & 0.0892734045918357 \tabularnewline
0.09 & 66.0440261413887 & 0.096816367303527 \tabularnewline
0.1 & 66.0764676958435 & 0.09888029676143 \tabularnewline
0.11 & 66.1082194494325 & 0.0962684245240649 \tabularnewline
0.12 & 66.138001336535 & 0.0902639111502542 \tabularnewline
0.13 & 66.165001348664 & 0.082159631552387 \tabularnewline
0.14 & 66.1888726611757 & 0.073372945238517 \tabularnewline
0.15 & 66.2096673152744 & 0.0650131601663612 \tabularnewline
0.16 & 66.2277591357011 & 0.0580460428600411 \tabularnewline
0.17 & 66.243780300415 & 0.0536471083344285 \tabularnewline
0.18 & 66.2585735479387 & 0.0529745351057238 \tabularnewline
0.19 & 66.2731522999234 & 0.057081515323674 \tabularnewline
0.2 & 66.2886604658091 & 0.0665917253364846 \tabularnewline
0.21 & 66.3063265612596 & 0.0818390480087524 \tabularnewline
0.22 & 66.327409275743 & 0.102815879236049 \tabularnewline
0.23 & 66.3531328422525 & 0.129260734170722 \tabularnewline
0.24 & 66.384611440535 & 0.160509006991320 \tabularnewline
0.25 & 66.4227639025445 & 0.195675544252784 \tabularnewline
0.26 & 66.4682240365015 & 0.233213841166183 \tabularnewline
0.27 & 66.5212573806517 & 0.271265133794479 \tabularnewline
0.28 & 66.5817001226063 & 0.307618089176454 \tabularnewline
0.29 & 66.6489375854878 & 0.339819515321608 \tabularnewline
0.3 & 66.7219360292985 & 0.365977056987796 \tabularnewline
0.31 & 66.7993323207113 & 0.384678845918356 \tabularnewline
0.32 & 66.8795733583553 & 0.395199802066207 \tabularnewline
0.33 & 66.9610847789627 & 0.397947160476881 \tabularnewline
0.34 & 67.0424404602982 & 0.394086740689903 \tabularnewline
0.35 & 67.122503376728 & 0.385456776573862 \tabularnewline
0.36 & 67.2005147366758 & 0.374161702684522 \tabularnewline
0.37 & 67.276119880325 & 0.362478469681789 \tabularnewline
0.38 & 67.3493325090935 & 0.352097532394729 \tabularnewline
0.39 & 67.4204498151296 & 0.344311783673514 \tabularnewline
0.4 & 67.489937608781 & 0.339514728722639 \tabularnewline
0.41 & 67.558306077571 & 0.337676471424605 \tabularnewline
0.42 & 67.6259944085349 & 0.337665802652569 \tabularnewline
0.43 & 67.6932779843602 & 0.338692877949561 \tabularnewline
0.44 & 67.760206890033 & 0.339108995331785 \tabularnewline
0.45 & 67.82657998194 & 0.337651792966660 \tabularnewline
0.46 & 67.8919549292688 & 0.332867390682694 \tabularnewline
0.47 & 67.955691154377 & 0.324122666667129 \tabularnewline
0.48 & 68.0170192378104 & 0.310660318390592 \tabularnewline
0.49 & 68.0751272575676 & 0.292716911604226 \tabularnewline
0.5 & 68.1292522507 & 0.270579167456351 \tabularnewline
0.51 & 68.1787642238751 & 0.245356508493483 \tabularnewline
0.52 & 68.2232313906225 & 0.218142475339526 \tabularnewline
0.53 & 68.262458565604 & 0.190268420991046 \tabularnewline
0.54 & 68.2964953085275 & 0.163256367324718 \tabularnewline
0.55 & 68.325615469681 & 0.138062991117131 \tabularnewline
0.56 & 68.350274130502 & 0.11561421105603 \tabularnewline
0.57 & 68.371050681042 & 0.0964614301828584 \tabularnewline
0.58 & 68.38858753632 & 0.080800927095573 \tabularnewline
0.59 & 68.4035329141062 & 0.068657357016615 \tabularnewline
0.6 & 68.4164937584589 & 0.059622726024185 \tabularnewline
0.61 & 68.4280020804074 & 0.0532802593081776 \tabularnewline
0.62 & 68.4384954305812 & 0.04915787486916 \tabularnewline
0.63 & 68.4483103975791 & 0.0464419224523001 \tabularnewline
0.64 & 68.4576870797279 & 0.0447392613795742 \tabularnewline
0.65 & 68.4667822384449 & 0.0435753567162326 \tabularnewline
0.66 & 68.4756889567666 & 0.0426211470980556 \tabularnewline
0.67 & 68.4844607230194 & 0.0417129736494494 \tabularnewline
0.68 & 68.4931376856079 & 0.0408833946773695 \tabularnewline
0.69 & 68.501772336346 & 0.0402167208061955 \tabularnewline
0.7 & 68.5104512494307 & 0.0398862330372757 \tabularnewline
0.71 & 68.5193090628994 & 0.0402314263593151 \tabularnewline
0.72 & 68.5285310282349 & 0.0415439463583396 \tabularnewline
0.73 & 68.5383414995504 & 0.0440145322142775 \tabularnewline
0.74 & 68.5489778409866 & 0.04767210003808 \tabularnewline
0.75 & 68.5606522904954 & 0.0521701050167956 \tabularnewline
0.76 & 68.5735079018799 & 0.0571626613144908 \tabularnewline
0.77 & 68.5875780423213 & 0.0620512384076503 \tabularnewline
0.78 & 68.6027610386252 & 0.0659980327645897 \tabularnewline
0.79 & 68.6188213347166 & 0.0686020106581898 \tabularnewline
0.8 & 68.6354250236535 & 0.0693006709405524 \tabularnewline
0.81 & 68.6522105225064 & 0.068130354039648 \tabularnewline
0.82 & 68.668885230052 & 0.0654080459188645 \tabularnewline
0.83 & 68.6853285244792 & 0.0620231992359856 \tabularnewline
0.84 & 68.7016742449516 & 0.0591612198085663 \tabularnewline
0.85 & 68.7183463434558 & 0.0581021526568488 \tabularnewline
0.86 & 68.7360325967994 & 0.0599437573088556 \tabularnewline
0.87 & 68.7556010695546 & 0.0649099023503476 \tabularnewline
0.88 & 68.7779826671575 & 0.0725588572447185 \tabularnewline
0.89 & 68.8040450156824 & 0.081979740520699 \tabularnewline
0.9 & 68.834457347384 & 0.0922170890586784 \tabularnewline
0.91 & 68.8695061002688 & 0.102127298020669 \tabularnewline
0.92 & 68.9088159920578 & 0.109944661744994 \tabularnewline
0.93 & 68.9510248171976 & 0.112814474743684 \tabularnewline
0.94 & 68.9936533541434 & 0.107452181886675 \tabularnewline
0.95 & 69.0335573544836 & 0.0922618540742395 \tabularnewline
0.96 & 69.0681744997314 & 0.0697611903422867 \tabularnewline
0.97 & 69.0970816238755 & 0.0471949634485992 \tabularnewline
0.98 & 69.1222580305268 & 0.0339067478008120 \tabularnewline
0.99 & 69.1448776742467 & 0.0341899237721055 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9786&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]65.8734629823516[/C][C]0.0306238667824109[/C][/ROW]
[ROW][C]0.02[/C][C]65.8911510147928[/C][C]0.0220315951443376[/C][/ROW]
[ROW][C]0.03[/C][C]65.9069651293747[/C][C]0.0219400256944243[/C][/ROW]
[ROW][C]0.04[/C][C]65.9216858293216[/C][C]0.0305786917861865[/C][/ROW]
[ROW][C]0.05[/C][C]65.9382411169503[/C][C]0.0445315376471791[/C][/ROW]
[ROW][C]0.06[/C][C]65.9586811089219[/C][C]0.0608738190589143[/C][/ROW]
[ROW][C]0.07[/C][C]65.9836249409602[/C][C]0.0766787171788638[/C][/ROW]
[ROW][C]0.08[/C][C]66.012518064397[/C][C]0.0892734045918357[/C][/ROW]
[ROW][C]0.09[/C][C]66.0440261413887[/C][C]0.096816367303527[/C][/ROW]
[ROW][C]0.1[/C][C]66.0764676958435[/C][C]0.09888029676143[/C][/ROW]
[ROW][C]0.11[/C][C]66.1082194494325[/C][C]0.0962684245240649[/C][/ROW]
[ROW][C]0.12[/C][C]66.138001336535[/C][C]0.0902639111502542[/C][/ROW]
[ROW][C]0.13[/C][C]66.165001348664[/C][C]0.082159631552387[/C][/ROW]
[ROW][C]0.14[/C][C]66.1888726611757[/C][C]0.073372945238517[/C][/ROW]
[ROW][C]0.15[/C][C]66.2096673152744[/C][C]0.0650131601663612[/C][/ROW]
[ROW][C]0.16[/C][C]66.2277591357011[/C][C]0.0580460428600411[/C][/ROW]
[ROW][C]0.17[/C][C]66.243780300415[/C][C]0.0536471083344285[/C][/ROW]
[ROW][C]0.18[/C][C]66.2585735479387[/C][C]0.0529745351057238[/C][/ROW]
[ROW][C]0.19[/C][C]66.2731522999234[/C][C]0.057081515323674[/C][/ROW]
[ROW][C]0.2[/C][C]66.2886604658091[/C][C]0.0665917253364846[/C][/ROW]
[ROW][C]0.21[/C][C]66.3063265612596[/C][C]0.0818390480087524[/C][/ROW]
[ROW][C]0.22[/C][C]66.327409275743[/C][C]0.102815879236049[/C][/ROW]
[ROW][C]0.23[/C][C]66.3531328422525[/C][C]0.129260734170722[/C][/ROW]
[ROW][C]0.24[/C][C]66.384611440535[/C][C]0.160509006991320[/C][/ROW]
[ROW][C]0.25[/C][C]66.4227639025445[/C][C]0.195675544252784[/C][/ROW]
[ROW][C]0.26[/C][C]66.4682240365015[/C][C]0.233213841166183[/C][/ROW]
[ROW][C]0.27[/C][C]66.5212573806517[/C][C]0.271265133794479[/C][/ROW]
[ROW][C]0.28[/C][C]66.5817001226063[/C][C]0.307618089176454[/C][/ROW]
[ROW][C]0.29[/C][C]66.6489375854878[/C][C]0.339819515321608[/C][/ROW]
[ROW][C]0.3[/C][C]66.7219360292985[/C][C]0.365977056987796[/C][/ROW]
[ROW][C]0.31[/C][C]66.7993323207113[/C][C]0.384678845918356[/C][/ROW]
[ROW][C]0.32[/C][C]66.8795733583553[/C][C]0.395199802066207[/C][/ROW]
[ROW][C]0.33[/C][C]66.9610847789627[/C][C]0.397947160476881[/C][/ROW]
[ROW][C]0.34[/C][C]67.0424404602982[/C][C]0.394086740689903[/C][/ROW]
[ROW][C]0.35[/C][C]67.122503376728[/C][C]0.385456776573862[/C][/ROW]
[ROW][C]0.36[/C][C]67.2005147366758[/C][C]0.374161702684522[/C][/ROW]
[ROW][C]0.37[/C][C]67.276119880325[/C][C]0.362478469681789[/C][/ROW]
[ROW][C]0.38[/C][C]67.3493325090935[/C][C]0.352097532394729[/C][/ROW]
[ROW][C]0.39[/C][C]67.4204498151296[/C][C]0.344311783673514[/C][/ROW]
[ROW][C]0.4[/C][C]67.489937608781[/C][C]0.339514728722639[/C][/ROW]
[ROW][C]0.41[/C][C]67.558306077571[/C][C]0.337676471424605[/C][/ROW]
[ROW][C]0.42[/C][C]67.6259944085349[/C][C]0.337665802652569[/C][/ROW]
[ROW][C]0.43[/C][C]67.6932779843602[/C][C]0.338692877949561[/C][/ROW]
[ROW][C]0.44[/C][C]67.760206890033[/C][C]0.339108995331785[/C][/ROW]
[ROW][C]0.45[/C][C]67.82657998194[/C][C]0.337651792966660[/C][/ROW]
[ROW][C]0.46[/C][C]67.8919549292688[/C][C]0.332867390682694[/C][/ROW]
[ROW][C]0.47[/C][C]67.955691154377[/C][C]0.324122666667129[/C][/ROW]
[ROW][C]0.48[/C][C]68.0170192378104[/C][C]0.310660318390592[/C][/ROW]
[ROW][C]0.49[/C][C]68.0751272575676[/C][C]0.292716911604226[/C][/ROW]
[ROW][C]0.5[/C][C]68.1292522507[/C][C]0.270579167456351[/C][/ROW]
[ROW][C]0.51[/C][C]68.1787642238751[/C][C]0.245356508493483[/C][/ROW]
[ROW][C]0.52[/C][C]68.2232313906225[/C][C]0.218142475339526[/C][/ROW]
[ROW][C]0.53[/C][C]68.262458565604[/C][C]0.190268420991046[/C][/ROW]
[ROW][C]0.54[/C][C]68.2964953085275[/C][C]0.163256367324718[/C][/ROW]
[ROW][C]0.55[/C][C]68.325615469681[/C][C]0.138062991117131[/C][/ROW]
[ROW][C]0.56[/C][C]68.350274130502[/C][C]0.11561421105603[/C][/ROW]
[ROW][C]0.57[/C][C]68.371050681042[/C][C]0.0964614301828584[/C][/ROW]
[ROW][C]0.58[/C][C]68.38858753632[/C][C]0.080800927095573[/C][/ROW]
[ROW][C]0.59[/C][C]68.4035329141062[/C][C]0.068657357016615[/C][/ROW]
[ROW][C]0.6[/C][C]68.4164937584589[/C][C]0.059622726024185[/C][/ROW]
[ROW][C]0.61[/C][C]68.4280020804074[/C][C]0.0532802593081776[/C][/ROW]
[ROW][C]0.62[/C][C]68.4384954305812[/C][C]0.04915787486916[/C][/ROW]
[ROW][C]0.63[/C][C]68.4483103975791[/C][C]0.0464419224523001[/C][/ROW]
[ROW][C]0.64[/C][C]68.4576870797279[/C][C]0.0447392613795742[/C][/ROW]
[ROW][C]0.65[/C][C]68.4667822384449[/C][C]0.0435753567162326[/C][/ROW]
[ROW][C]0.66[/C][C]68.4756889567666[/C][C]0.0426211470980556[/C][/ROW]
[ROW][C]0.67[/C][C]68.4844607230194[/C][C]0.0417129736494494[/C][/ROW]
[ROW][C]0.68[/C][C]68.4931376856079[/C][C]0.0408833946773695[/C][/ROW]
[ROW][C]0.69[/C][C]68.501772336346[/C][C]0.0402167208061955[/C][/ROW]
[ROW][C]0.7[/C][C]68.5104512494307[/C][C]0.0398862330372757[/C][/ROW]
[ROW][C]0.71[/C][C]68.5193090628994[/C][C]0.0402314263593151[/C][/ROW]
[ROW][C]0.72[/C][C]68.5285310282349[/C][C]0.0415439463583396[/C][/ROW]
[ROW][C]0.73[/C][C]68.5383414995504[/C][C]0.0440145322142775[/C][/ROW]
[ROW][C]0.74[/C][C]68.5489778409866[/C][C]0.04767210003808[/C][/ROW]
[ROW][C]0.75[/C][C]68.5606522904954[/C][C]0.0521701050167956[/C][/ROW]
[ROW][C]0.76[/C][C]68.5735079018799[/C][C]0.0571626613144908[/C][/ROW]
[ROW][C]0.77[/C][C]68.5875780423213[/C][C]0.0620512384076503[/C][/ROW]
[ROW][C]0.78[/C][C]68.6027610386252[/C][C]0.0659980327645897[/C][/ROW]
[ROW][C]0.79[/C][C]68.6188213347166[/C][C]0.0686020106581898[/C][/ROW]
[ROW][C]0.8[/C][C]68.6354250236535[/C][C]0.0693006709405524[/C][/ROW]
[ROW][C]0.81[/C][C]68.6522105225064[/C][C]0.068130354039648[/C][/ROW]
[ROW][C]0.82[/C][C]68.668885230052[/C][C]0.0654080459188645[/C][/ROW]
[ROW][C]0.83[/C][C]68.6853285244792[/C][C]0.0620231992359856[/C][/ROW]
[ROW][C]0.84[/C][C]68.7016742449516[/C][C]0.0591612198085663[/C][/ROW]
[ROW][C]0.85[/C][C]68.7183463434558[/C][C]0.0581021526568488[/C][/ROW]
[ROW][C]0.86[/C][C]68.7360325967994[/C][C]0.0599437573088556[/C][/ROW]
[ROW][C]0.87[/C][C]68.7556010695546[/C][C]0.0649099023503476[/C][/ROW]
[ROW][C]0.88[/C][C]68.7779826671575[/C][C]0.0725588572447185[/C][/ROW]
[ROW][C]0.89[/C][C]68.8040450156824[/C][C]0.081979740520699[/C][/ROW]
[ROW][C]0.9[/C][C]68.834457347384[/C][C]0.0922170890586784[/C][/ROW]
[ROW][C]0.91[/C][C]68.8695061002688[/C][C]0.102127298020669[/C][/ROW]
[ROW][C]0.92[/C][C]68.9088159920578[/C][C]0.109944661744994[/C][/ROW]
[ROW][C]0.93[/C][C]68.9510248171976[/C][C]0.112814474743684[/C][/ROW]
[ROW][C]0.94[/C][C]68.9936533541434[/C][C]0.107452181886675[/C][/ROW]
[ROW][C]0.95[/C][C]69.0335573544836[/C][C]0.0922618540742395[/C][/ROW]
[ROW][C]0.96[/C][C]69.0681744997314[/C][C]0.0697611903422867[/C][/ROW]
[ROW][C]0.97[/C][C]69.0970816238755[/C][C]0.0471949634485992[/C][/ROW]
[ROW][C]0.98[/C][C]69.1222580305268[/C][C]0.0339067478008120[/C][/ROW]
[ROW][C]0.99[/C][C]69.1448776742467[/C][C]0.0341899237721055[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9786&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9786&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
0.0165.87346298235160.0306238667824109
0.0265.89115101479280.0220315951443376
0.0365.90696512937470.0219400256944243
0.0465.92168582932160.0305786917861865
0.0565.93824111695030.0445315376471791
0.0665.95868110892190.0608738190589143
0.0765.98362494096020.0766787171788638
0.0866.0125180643970.0892734045918357
0.0966.04402614138870.096816367303527
0.166.07646769584350.09888029676143
0.1166.10821944943250.0962684245240649
0.1266.1380013365350.0902639111502542
0.1366.1650013486640.082159631552387
0.1466.18887266117570.073372945238517
0.1566.20966731527440.0650131601663612
0.1666.22775913570110.0580460428600411
0.1766.2437803004150.0536471083344285
0.1866.25857354793870.0529745351057238
0.1966.27315229992340.057081515323674
0.266.28866046580910.0665917253364846
0.2166.30632656125960.0818390480087524
0.2266.3274092757430.102815879236049
0.2366.35313284225250.129260734170722
0.2466.3846114405350.160509006991320
0.2566.42276390254450.195675544252784
0.2666.46822403650150.233213841166183
0.2766.52125738065170.271265133794479
0.2866.58170012260630.307618089176454
0.2966.64893758548780.339819515321608
0.366.72193602929850.365977056987796
0.3166.79933232071130.384678845918356
0.3266.87957335835530.395199802066207
0.3366.96108477896270.397947160476881
0.3467.04244046029820.394086740689903
0.3567.1225033767280.385456776573862
0.3667.20051473667580.374161702684522
0.3767.2761198803250.362478469681789
0.3867.34933250909350.352097532394729
0.3967.42044981512960.344311783673514
0.467.4899376087810.339514728722639
0.4167.5583060775710.337676471424605
0.4267.62599440853490.337665802652569
0.4367.69327798436020.338692877949561
0.4467.7602068900330.339108995331785
0.4567.826579981940.337651792966660
0.4667.89195492926880.332867390682694
0.4767.9556911543770.324122666667129
0.4868.01701923781040.310660318390592
0.4968.07512725756760.292716911604226
0.568.12925225070.270579167456351
0.5168.17876422387510.245356508493483
0.5268.22323139062250.218142475339526
0.5368.2624585656040.190268420991046
0.5468.29649530852750.163256367324718
0.5568.3256154696810.138062991117131
0.5668.3502741305020.11561421105603
0.5768.3710506810420.0964614301828584
0.5868.388587536320.080800927095573
0.5968.40353291410620.068657357016615
0.668.41649375845890.059622726024185
0.6168.42800208040740.0532802593081776
0.6268.43849543058120.04915787486916
0.6368.44831039757910.0464419224523001
0.6468.45768707972790.0447392613795742
0.6568.46678223844490.0435753567162326
0.6668.47568895676660.0426211470980556
0.6768.48446072301940.0417129736494494
0.6868.49313768560790.0408833946773695
0.6968.5017723363460.0402167208061955
0.768.51045124943070.0398862330372757
0.7168.51930906289940.0402314263593151
0.7268.52853102823490.0415439463583396
0.7368.53834149955040.0440145322142775
0.7468.54897784098660.04767210003808
0.7568.56065229049540.0521701050167956
0.7668.57350790187990.0571626613144908
0.7768.58757804232130.0620512384076503
0.7868.60276103862520.0659980327645897
0.7968.61882133471660.0686020106581898
0.868.63542502365350.0693006709405524
0.8168.65221052250640.068130354039648
0.8268.6688852300520.0654080459188645
0.8368.68532852447920.0620231992359856
0.8468.70167424495160.0591612198085663
0.8568.71834634345580.0581021526568488
0.8668.73603259679940.0599437573088556
0.8768.75560106955460.0649099023503476
0.8868.77798266715750.0725588572447185
0.8968.80404501568240.081979740520699
0.968.8344573473840.0922170890586784
0.9168.86950610026880.102127298020669
0.9268.90881599205780.109944661744994
0.9368.95102481719760.112814474743684
0.9468.99365335414340.107452181886675
0.9569.03355735448360.0922618540742395
0.9669.06817449973140.0697611903422867
0.9769.09708162387550.0471949634485992
0.9869.12225803052680.0339067478008120
0.9969.14487767424670.0341899237721055


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')