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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 10 Mar 2009 07:18:56 -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/2009/Mar/10/t1236691175z6cpskud1azjfvr.htm/, Retrieved Mon, 29 Apr 2024 21:11:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38881, Retrieved Mon, 29 Apr 2024 21:11:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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...] [2009-03-10 13:18:56] [cad785efdc96cabf1c219520e59eafa5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.370
9.330
9.310
9.260
9.350
9.380
9.430
9.270
9.290
9.270
9.290
9.310
9.330
9.350
9.340
9.470
9.630
9.620
9.630
9.500
9.550
9.580
9.610
9.570
9.610
9.650
9.620
9.650
9.960
10.030
10.030
9.720
9.750
9.770
9.780
9.820
9.840
9.900
9.940
10.120
10.520
10.570
10.570
10.120
10.050
10.140
10.170
10.200
10.200
10.350
10.430
10.570
10.820
10.900
10.830
10.650
10.570
10.610
10.630
10.710
10.720
10.770
10.790
10.920
10.900
11.000
10.990
10.910
10.880
10.870
11.000
10.990
11.030
11.040
10.990

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38881&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38881&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.263237203341070.00867384331107627
0.029.268360959837550.0091839249652776
0.039.274328479517760.0118292686716665
0.049.280815201641050.0146710305643863
0.059.287716869249430.0167949960211391
0.069.294873605666370.0182561144497135
0.079.302115885591680.0193660044475079
0.089.309350961436080.0204075096079480
0.099.316590424759180.0216584597302663
0.19.323944788691770.0234924800561267
0.119.331612147103010.0263230564339611
0.129.339862066268020.0304681556771927
0.139.349007354487590.0361049838378228
0.149.359361714712060.0431011515131273
0.159.371188905138580.0511037169016944
0.169.384653476767540.0595639446795877
0.179.399783709239160.067773103792254
0.189.416454831520360.0750480180669674
0.199.434396131046310.080750316813935
0.29.45322045108530.0844524754490546
0.219.472470202314280.0859437146596916
0.229.49167139408310.0852595623980908
0.239.510386724643970.0826664345856788
0.249.528260191783310.0785815349242305
0.259.545048270873850.0736198633879139
0.269.56063560212710.068363726727972
0.279.57503564326720.0634294258372118
0.289.58837850941160.0594136340267334
0.299.600889190679870.0567518685149891
0.39.612859672886660.0557925622468632
0.319.62461841664170.0566469731844047
0.329.636500355724560.0592934396979087
0.339.648820138965960.0634721140263764
0.349.661850761462480.0688513198992629
0.359.675808986932250.0751043104170727
0.369.690848068198950.0818148471505338
0.379.70705731698370.0886999557585033
0.389.72446721544510.0954825373673148
0.399.743058180196460.101955979165555
0.49.762770921344810.107978297501917
0.419.783516621305470.113455261250113
0.429.805185804998830.118299708182332
0.439.827655596317660.122459043283170
0.449.850795820509440.125881577981625
0.459.87447490675740.128574957565716
0.469.898566640694140.130547489551017
0.479.92295849557490.131854261018475
0.489.947561621836720.132638026515760
0.499.972321758879720.133126208448154
0.59.997229540419180.133573627756634
0.5110.02232807736600.134340362356726
0.5210.04771546908890.135749480904772
0.5310.07354011953840.138119920250001
0.5410.09998746896260.141694505878543
0.5510.12725797412730.146499543372944
0.5610.15553776578140.152406589517649
0.5710.18496515435870.15903415193235
0.5810.21559770668680.165813456247756
0.5910.24738557471950.172017133302721
0.610.28015674223740.176888875526498
0.6110.31361863038720.179744250511568
0.6210.34737808908460.180034492702833
0.6310.38097854122430.177484875904370
0.6410.41394957765950.172154230585719
0.6510.44586142592510.164393996762962
0.6610.47637519575980.154855511920947
0.6710.50528013200830.144369635542213
0.6810.53251133299110.133833166710488
0.6910.55814508127990.124082885996734
0.710.58237325018340.115743406281811
0.7110.60546218432300.109185696493529
0.7210.62770410010830.104427054696744
0.7310.64936985498590.101157563102076
0.7410.67067082684950.0989139243030933
0.7510.69173504802600.0971322638882857
0.7610.71259942217290.0953079089011242
0.7710.73321671177710.0930111318878153
0.7810.75347378795060.0900041960357724
0.7910.77321681017050.0861729875022929
0.810.79227949585030.08155676138321
0.8110.81051188046450.0762615913170433
0.8210.82780800386020.0705544792897065
0.8310.84413077258330.0647264284690572
0.8410.85953030330500.0591679746853472
0.8510.87414892157540.0543028395819057
0.8610.88820376236930.0505066105094662
0.8710.90193984805530.0479680119829334
0.8810.91555544628110.0464987163326414
0.8910.92911722138080.0454287914056342
0.910.94249959486110.0438143366165632
0.9110.95539024058200.040809373428266
0.9210.96739090824810.0360584104782951
0.9310.97820580349360.0299886700190749
0.9410.98785542353920.0238080755564735
0.9510.99679822022350.0192304208556428
0.9611.00581243216020.0176547599982089
0.9711.01553419395880.0182218642719189
0.9811.02573117308730.0176365611049845
0.9911.03474630190620.0137934024569641

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.26323720334107 & 0.00867384331107627 \tabularnewline
0.02 & 9.26836095983755 & 0.0091839249652776 \tabularnewline
0.03 & 9.27432847951776 & 0.0118292686716665 \tabularnewline
0.04 & 9.28081520164105 & 0.0146710305643863 \tabularnewline
0.05 & 9.28771686924943 & 0.0167949960211391 \tabularnewline
0.06 & 9.29487360566637 & 0.0182561144497135 \tabularnewline
0.07 & 9.30211588559168 & 0.0193660044475079 \tabularnewline
0.08 & 9.30935096143608 & 0.0204075096079480 \tabularnewline
0.09 & 9.31659042475918 & 0.0216584597302663 \tabularnewline
0.1 & 9.32394478869177 & 0.0234924800561267 \tabularnewline
0.11 & 9.33161214710301 & 0.0263230564339611 \tabularnewline
0.12 & 9.33986206626802 & 0.0304681556771927 \tabularnewline
0.13 & 9.34900735448759 & 0.0361049838378228 \tabularnewline
0.14 & 9.35936171471206 & 0.0431011515131273 \tabularnewline
0.15 & 9.37118890513858 & 0.0511037169016944 \tabularnewline
0.16 & 9.38465347676754 & 0.0595639446795877 \tabularnewline
0.17 & 9.39978370923916 & 0.067773103792254 \tabularnewline
0.18 & 9.41645483152036 & 0.0750480180669674 \tabularnewline
0.19 & 9.43439613104631 & 0.080750316813935 \tabularnewline
0.2 & 9.4532204510853 & 0.0844524754490546 \tabularnewline
0.21 & 9.47247020231428 & 0.0859437146596916 \tabularnewline
0.22 & 9.4916713940831 & 0.0852595623980908 \tabularnewline
0.23 & 9.51038672464397 & 0.0826664345856788 \tabularnewline
0.24 & 9.52826019178331 & 0.0785815349242305 \tabularnewline
0.25 & 9.54504827087385 & 0.0736198633879139 \tabularnewline
0.26 & 9.5606356021271 & 0.068363726727972 \tabularnewline
0.27 & 9.5750356432672 & 0.0634294258372118 \tabularnewline
0.28 & 9.5883785094116 & 0.0594136340267334 \tabularnewline
0.29 & 9.60088919067987 & 0.0567518685149891 \tabularnewline
0.3 & 9.61285967288666 & 0.0557925622468632 \tabularnewline
0.31 & 9.6246184166417 & 0.0566469731844047 \tabularnewline
0.32 & 9.63650035572456 & 0.0592934396979087 \tabularnewline
0.33 & 9.64882013896596 & 0.0634721140263764 \tabularnewline
0.34 & 9.66185076146248 & 0.0688513198992629 \tabularnewline
0.35 & 9.67580898693225 & 0.0751043104170727 \tabularnewline
0.36 & 9.69084806819895 & 0.0818148471505338 \tabularnewline
0.37 & 9.7070573169837 & 0.0886999557585033 \tabularnewline
0.38 & 9.7244672154451 & 0.0954825373673148 \tabularnewline
0.39 & 9.74305818019646 & 0.101955979165555 \tabularnewline
0.4 & 9.76277092134481 & 0.107978297501917 \tabularnewline
0.41 & 9.78351662130547 & 0.113455261250113 \tabularnewline
0.42 & 9.80518580499883 & 0.118299708182332 \tabularnewline
0.43 & 9.82765559631766 & 0.122459043283170 \tabularnewline
0.44 & 9.85079582050944 & 0.125881577981625 \tabularnewline
0.45 & 9.8744749067574 & 0.128574957565716 \tabularnewline
0.46 & 9.89856664069414 & 0.130547489551017 \tabularnewline
0.47 & 9.9229584955749 & 0.131854261018475 \tabularnewline
0.48 & 9.94756162183672 & 0.132638026515760 \tabularnewline
0.49 & 9.97232175887972 & 0.133126208448154 \tabularnewline
0.5 & 9.99722954041918 & 0.133573627756634 \tabularnewline
0.51 & 10.0223280773660 & 0.134340362356726 \tabularnewline
0.52 & 10.0477154690889 & 0.135749480904772 \tabularnewline
0.53 & 10.0735401195384 & 0.138119920250001 \tabularnewline
0.54 & 10.0999874689626 & 0.141694505878543 \tabularnewline
0.55 & 10.1272579741273 & 0.146499543372944 \tabularnewline
0.56 & 10.1555377657814 & 0.152406589517649 \tabularnewline
0.57 & 10.1849651543587 & 0.15903415193235 \tabularnewline
0.58 & 10.2155977066868 & 0.165813456247756 \tabularnewline
0.59 & 10.2473855747195 & 0.172017133302721 \tabularnewline
0.6 & 10.2801567422374 & 0.176888875526498 \tabularnewline
0.61 & 10.3136186303872 & 0.179744250511568 \tabularnewline
0.62 & 10.3473780890846 & 0.180034492702833 \tabularnewline
0.63 & 10.3809785412243 & 0.177484875904370 \tabularnewline
0.64 & 10.4139495776595 & 0.172154230585719 \tabularnewline
0.65 & 10.4458614259251 & 0.164393996762962 \tabularnewline
0.66 & 10.4763751957598 & 0.154855511920947 \tabularnewline
0.67 & 10.5052801320083 & 0.144369635542213 \tabularnewline
0.68 & 10.5325113329911 & 0.133833166710488 \tabularnewline
0.69 & 10.5581450812799 & 0.124082885996734 \tabularnewline
0.7 & 10.5823732501834 & 0.115743406281811 \tabularnewline
0.71 & 10.6054621843230 & 0.109185696493529 \tabularnewline
0.72 & 10.6277041001083 & 0.104427054696744 \tabularnewline
0.73 & 10.6493698549859 & 0.101157563102076 \tabularnewline
0.74 & 10.6706708268495 & 0.0989139243030933 \tabularnewline
0.75 & 10.6917350480260 & 0.0971322638882857 \tabularnewline
0.76 & 10.7125994221729 & 0.0953079089011242 \tabularnewline
0.77 & 10.7332167117771 & 0.0930111318878153 \tabularnewline
0.78 & 10.7534737879506 & 0.0900041960357724 \tabularnewline
0.79 & 10.7732168101705 & 0.0861729875022929 \tabularnewline
0.8 & 10.7922794958503 & 0.08155676138321 \tabularnewline
0.81 & 10.8105118804645 & 0.0762615913170433 \tabularnewline
0.82 & 10.8278080038602 & 0.0705544792897065 \tabularnewline
0.83 & 10.8441307725833 & 0.0647264284690572 \tabularnewline
0.84 & 10.8595303033050 & 0.0591679746853472 \tabularnewline
0.85 & 10.8741489215754 & 0.0543028395819057 \tabularnewline
0.86 & 10.8882037623693 & 0.0505066105094662 \tabularnewline
0.87 & 10.9019398480553 & 0.0479680119829334 \tabularnewline
0.88 & 10.9155554462811 & 0.0464987163326414 \tabularnewline
0.89 & 10.9291172213808 & 0.0454287914056342 \tabularnewline
0.9 & 10.9424995948611 & 0.0438143366165632 \tabularnewline
0.91 & 10.9553902405820 & 0.040809373428266 \tabularnewline
0.92 & 10.9673909082481 & 0.0360584104782951 \tabularnewline
0.93 & 10.9782058034936 & 0.0299886700190749 \tabularnewline
0.94 & 10.9878554235392 & 0.0238080755564735 \tabularnewline
0.95 & 10.9967982202235 & 0.0192304208556428 \tabularnewline
0.96 & 11.0058124321602 & 0.0176547599982089 \tabularnewline
0.97 & 11.0155341939588 & 0.0182218642719189 \tabularnewline
0.98 & 11.0257311730873 & 0.0176365611049845 \tabularnewline
0.99 & 11.0347463019062 & 0.0137934024569641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38881&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]9.26323720334107[/C][C]0.00867384331107627[/C][/ROW]
[ROW][C]0.02[/C][C]9.26836095983755[/C][C]0.0091839249652776[/C][/ROW]
[ROW][C]0.03[/C][C]9.27432847951776[/C][C]0.0118292686716665[/C][/ROW]
[ROW][C]0.04[/C][C]9.28081520164105[/C][C]0.0146710305643863[/C][/ROW]
[ROW][C]0.05[/C][C]9.28771686924943[/C][C]0.0167949960211391[/C][/ROW]
[ROW][C]0.06[/C][C]9.29487360566637[/C][C]0.0182561144497135[/C][/ROW]
[ROW][C]0.07[/C][C]9.30211588559168[/C][C]0.0193660044475079[/C][/ROW]
[ROW][C]0.08[/C][C]9.30935096143608[/C][C]0.0204075096079480[/C][/ROW]
[ROW][C]0.09[/C][C]9.31659042475918[/C][C]0.0216584597302663[/C][/ROW]
[ROW][C]0.1[/C][C]9.32394478869177[/C][C]0.0234924800561267[/C][/ROW]
[ROW][C]0.11[/C][C]9.33161214710301[/C][C]0.0263230564339611[/C][/ROW]
[ROW][C]0.12[/C][C]9.33986206626802[/C][C]0.0304681556771927[/C][/ROW]
[ROW][C]0.13[/C][C]9.34900735448759[/C][C]0.0361049838378228[/C][/ROW]
[ROW][C]0.14[/C][C]9.35936171471206[/C][C]0.0431011515131273[/C][/ROW]
[ROW][C]0.15[/C][C]9.37118890513858[/C][C]0.0511037169016944[/C][/ROW]
[ROW][C]0.16[/C][C]9.38465347676754[/C][C]0.0595639446795877[/C][/ROW]
[ROW][C]0.17[/C][C]9.39978370923916[/C][C]0.067773103792254[/C][/ROW]
[ROW][C]0.18[/C][C]9.41645483152036[/C][C]0.0750480180669674[/C][/ROW]
[ROW][C]0.19[/C][C]9.43439613104631[/C][C]0.080750316813935[/C][/ROW]
[ROW][C]0.2[/C][C]9.4532204510853[/C][C]0.0844524754490546[/C][/ROW]
[ROW][C]0.21[/C][C]9.47247020231428[/C][C]0.0859437146596916[/C][/ROW]
[ROW][C]0.22[/C][C]9.4916713940831[/C][C]0.0852595623980908[/C][/ROW]
[ROW][C]0.23[/C][C]9.51038672464397[/C][C]0.0826664345856788[/C][/ROW]
[ROW][C]0.24[/C][C]9.52826019178331[/C][C]0.0785815349242305[/C][/ROW]
[ROW][C]0.25[/C][C]9.54504827087385[/C][C]0.0736198633879139[/C][/ROW]
[ROW][C]0.26[/C][C]9.5606356021271[/C][C]0.068363726727972[/C][/ROW]
[ROW][C]0.27[/C][C]9.5750356432672[/C][C]0.0634294258372118[/C][/ROW]
[ROW][C]0.28[/C][C]9.5883785094116[/C][C]0.0594136340267334[/C][/ROW]
[ROW][C]0.29[/C][C]9.60088919067987[/C][C]0.0567518685149891[/C][/ROW]
[ROW][C]0.3[/C][C]9.61285967288666[/C][C]0.0557925622468632[/C][/ROW]
[ROW][C]0.31[/C][C]9.6246184166417[/C][C]0.0566469731844047[/C][/ROW]
[ROW][C]0.32[/C][C]9.63650035572456[/C][C]0.0592934396979087[/C][/ROW]
[ROW][C]0.33[/C][C]9.64882013896596[/C][C]0.0634721140263764[/C][/ROW]
[ROW][C]0.34[/C][C]9.66185076146248[/C][C]0.0688513198992629[/C][/ROW]
[ROW][C]0.35[/C][C]9.67580898693225[/C][C]0.0751043104170727[/C][/ROW]
[ROW][C]0.36[/C][C]9.69084806819895[/C][C]0.0818148471505338[/C][/ROW]
[ROW][C]0.37[/C][C]9.7070573169837[/C][C]0.0886999557585033[/C][/ROW]
[ROW][C]0.38[/C][C]9.7244672154451[/C][C]0.0954825373673148[/C][/ROW]
[ROW][C]0.39[/C][C]9.74305818019646[/C][C]0.101955979165555[/C][/ROW]
[ROW][C]0.4[/C][C]9.76277092134481[/C][C]0.107978297501917[/C][/ROW]
[ROW][C]0.41[/C][C]9.78351662130547[/C][C]0.113455261250113[/C][/ROW]
[ROW][C]0.42[/C][C]9.80518580499883[/C][C]0.118299708182332[/C][/ROW]
[ROW][C]0.43[/C][C]9.82765559631766[/C][C]0.122459043283170[/C][/ROW]
[ROW][C]0.44[/C][C]9.85079582050944[/C][C]0.125881577981625[/C][/ROW]
[ROW][C]0.45[/C][C]9.8744749067574[/C][C]0.128574957565716[/C][/ROW]
[ROW][C]0.46[/C][C]9.89856664069414[/C][C]0.130547489551017[/C][/ROW]
[ROW][C]0.47[/C][C]9.9229584955749[/C][C]0.131854261018475[/C][/ROW]
[ROW][C]0.48[/C][C]9.94756162183672[/C][C]0.132638026515760[/C][/ROW]
[ROW][C]0.49[/C][C]9.97232175887972[/C][C]0.133126208448154[/C][/ROW]
[ROW][C]0.5[/C][C]9.99722954041918[/C][C]0.133573627756634[/C][/ROW]
[ROW][C]0.51[/C][C]10.0223280773660[/C][C]0.134340362356726[/C][/ROW]
[ROW][C]0.52[/C][C]10.0477154690889[/C][C]0.135749480904772[/C][/ROW]
[ROW][C]0.53[/C][C]10.0735401195384[/C][C]0.138119920250001[/C][/ROW]
[ROW][C]0.54[/C][C]10.0999874689626[/C][C]0.141694505878543[/C][/ROW]
[ROW][C]0.55[/C][C]10.1272579741273[/C][C]0.146499543372944[/C][/ROW]
[ROW][C]0.56[/C][C]10.1555377657814[/C][C]0.152406589517649[/C][/ROW]
[ROW][C]0.57[/C][C]10.1849651543587[/C][C]0.15903415193235[/C][/ROW]
[ROW][C]0.58[/C][C]10.2155977066868[/C][C]0.165813456247756[/C][/ROW]
[ROW][C]0.59[/C][C]10.2473855747195[/C][C]0.172017133302721[/C][/ROW]
[ROW][C]0.6[/C][C]10.2801567422374[/C][C]0.176888875526498[/C][/ROW]
[ROW][C]0.61[/C][C]10.3136186303872[/C][C]0.179744250511568[/C][/ROW]
[ROW][C]0.62[/C][C]10.3473780890846[/C][C]0.180034492702833[/C][/ROW]
[ROW][C]0.63[/C][C]10.3809785412243[/C][C]0.177484875904370[/C][/ROW]
[ROW][C]0.64[/C][C]10.4139495776595[/C][C]0.172154230585719[/C][/ROW]
[ROW][C]0.65[/C][C]10.4458614259251[/C][C]0.164393996762962[/C][/ROW]
[ROW][C]0.66[/C][C]10.4763751957598[/C][C]0.154855511920947[/C][/ROW]
[ROW][C]0.67[/C][C]10.5052801320083[/C][C]0.144369635542213[/C][/ROW]
[ROW][C]0.68[/C][C]10.5325113329911[/C][C]0.133833166710488[/C][/ROW]
[ROW][C]0.69[/C][C]10.5581450812799[/C][C]0.124082885996734[/C][/ROW]
[ROW][C]0.7[/C][C]10.5823732501834[/C][C]0.115743406281811[/C][/ROW]
[ROW][C]0.71[/C][C]10.6054621843230[/C][C]0.109185696493529[/C][/ROW]
[ROW][C]0.72[/C][C]10.6277041001083[/C][C]0.104427054696744[/C][/ROW]
[ROW][C]0.73[/C][C]10.6493698549859[/C][C]0.101157563102076[/C][/ROW]
[ROW][C]0.74[/C][C]10.6706708268495[/C][C]0.0989139243030933[/C][/ROW]
[ROW][C]0.75[/C][C]10.6917350480260[/C][C]0.0971322638882857[/C][/ROW]
[ROW][C]0.76[/C][C]10.7125994221729[/C][C]0.0953079089011242[/C][/ROW]
[ROW][C]0.77[/C][C]10.7332167117771[/C][C]0.0930111318878153[/C][/ROW]
[ROW][C]0.78[/C][C]10.7534737879506[/C][C]0.0900041960357724[/C][/ROW]
[ROW][C]0.79[/C][C]10.7732168101705[/C][C]0.0861729875022929[/C][/ROW]
[ROW][C]0.8[/C][C]10.7922794958503[/C][C]0.08155676138321[/C][/ROW]
[ROW][C]0.81[/C][C]10.8105118804645[/C][C]0.0762615913170433[/C][/ROW]
[ROW][C]0.82[/C][C]10.8278080038602[/C][C]0.0705544792897065[/C][/ROW]
[ROW][C]0.83[/C][C]10.8441307725833[/C][C]0.0647264284690572[/C][/ROW]
[ROW][C]0.84[/C][C]10.8595303033050[/C][C]0.0591679746853472[/C][/ROW]
[ROW][C]0.85[/C][C]10.8741489215754[/C][C]0.0543028395819057[/C][/ROW]
[ROW][C]0.86[/C][C]10.8882037623693[/C][C]0.0505066105094662[/C][/ROW]
[ROW][C]0.87[/C][C]10.9019398480553[/C][C]0.0479680119829334[/C][/ROW]
[ROW][C]0.88[/C][C]10.9155554462811[/C][C]0.0464987163326414[/C][/ROW]
[ROW][C]0.89[/C][C]10.9291172213808[/C][C]0.0454287914056342[/C][/ROW]
[ROW][C]0.9[/C][C]10.9424995948611[/C][C]0.0438143366165632[/C][/ROW]
[ROW][C]0.91[/C][C]10.9553902405820[/C][C]0.040809373428266[/C][/ROW]
[ROW][C]0.92[/C][C]10.9673909082481[/C][C]0.0360584104782951[/C][/ROW]
[ROW][C]0.93[/C][C]10.9782058034936[/C][C]0.0299886700190749[/C][/ROW]
[ROW][C]0.94[/C][C]10.9878554235392[/C][C]0.0238080755564735[/C][/ROW]
[ROW][C]0.95[/C][C]10.9967982202235[/C][C]0.0192304208556428[/C][/ROW]
[ROW][C]0.96[/C][C]11.0058124321602[/C][C]0.0176547599982089[/C][/ROW]
[ROW][C]0.97[/C][C]11.0155341939588[/C][C]0.0182218642719189[/C][/ROW]
[ROW][C]0.98[/C][C]11.0257311730873[/C][C]0.0176365611049845[/C][/ROW]
[ROW][C]0.99[/C][C]11.0347463019062[/C][C]0.0137934024569641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38881&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
0.019.263237203341070.00867384331107627
0.029.268360959837550.0091839249652776
0.039.274328479517760.0118292686716665
0.049.280815201641050.0146710305643863
0.059.287716869249430.0167949960211391
0.069.294873605666370.0182561144497135
0.079.302115885591680.0193660044475079
0.089.309350961436080.0204075096079480
0.099.316590424759180.0216584597302663
0.19.323944788691770.0234924800561267
0.119.331612147103010.0263230564339611
0.129.339862066268020.0304681556771927
0.139.349007354487590.0361049838378228
0.149.359361714712060.0431011515131273
0.159.371188905138580.0511037169016944
0.169.384653476767540.0595639446795877
0.179.399783709239160.067773103792254
0.189.416454831520360.0750480180669674
0.199.434396131046310.080750316813935
0.29.45322045108530.0844524754490546
0.219.472470202314280.0859437146596916
0.229.49167139408310.0852595623980908
0.239.510386724643970.0826664345856788
0.249.528260191783310.0785815349242305
0.259.545048270873850.0736198633879139
0.269.56063560212710.068363726727972
0.279.57503564326720.0634294258372118
0.289.58837850941160.0594136340267334
0.299.600889190679870.0567518685149891
0.39.612859672886660.0557925622468632
0.319.62461841664170.0566469731844047
0.329.636500355724560.0592934396979087
0.339.648820138965960.0634721140263764
0.349.661850761462480.0688513198992629
0.359.675808986932250.0751043104170727
0.369.690848068198950.0818148471505338
0.379.70705731698370.0886999557585033
0.389.72446721544510.0954825373673148
0.399.743058180196460.101955979165555
0.49.762770921344810.107978297501917
0.419.783516621305470.113455261250113
0.429.805185804998830.118299708182332
0.439.827655596317660.122459043283170
0.449.850795820509440.125881577981625
0.459.87447490675740.128574957565716
0.469.898566640694140.130547489551017
0.479.92295849557490.131854261018475
0.489.947561621836720.132638026515760
0.499.972321758879720.133126208448154
0.59.997229540419180.133573627756634
0.5110.02232807736600.134340362356726
0.5210.04771546908890.135749480904772
0.5310.07354011953840.138119920250001
0.5410.09998746896260.141694505878543
0.5510.12725797412730.146499543372944
0.5610.15553776578140.152406589517649
0.5710.18496515435870.15903415193235
0.5810.21559770668680.165813456247756
0.5910.24738557471950.172017133302721
0.610.28015674223740.176888875526498
0.6110.31361863038720.179744250511568
0.6210.34737808908460.180034492702833
0.6310.38097854122430.177484875904370
0.6410.41394957765950.172154230585719
0.6510.44586142592510.164393996762962
0.6610.47637519575980.154855511920947
0.6710.50528013200830.144369635542213
0.6810.53251133299110.133833166710488
0.6910.55814508127990.124082885996734
0.710.58237325018340.115743406281811
0.7110.60546218432300.109185696493529
0.7210.62770410010830.104427054696744
0.7310.64936985498590.101157563102076
0.7410.67067082684950.0989139243030933
0.7510.69173504802600.0971322638882857
0.7610.71259942217290.0953079089011242
0.7710.73321671177710.0930111318878153
0.7810.75347378795060.0900041960357724
0.7910.77321681017050.0861729875022929
0.810.79227949585030.08155676138321
0.8110.81051188046450.0762615913170433
0.8210.82780800386020.0705544792897065
0.8310.84413077258330.0647264284690572
0.8410.85953030330500.0591679746853472
0.8510.87414892157540.0543028395819057
0.8610.88820376236930.0505066105094662
0.8710.90193984805530.0479680119829334
0.8810.91555544628110.0464987163326414
0.8910.92911722138080.0454287914056342
0.910.94249959486110.0438143366165632
0.9110.95539024058200.040809373428266
0.9210.96739090824810.0360584104782951
0.9310.97820580349360.0299886700190749
0.9410.98785542353920.0238080755564735
0.9510.99679822022350.0192304208556428
0.9611.00581243216020.0176547599982089
0.9711.01553419395880.0182218642719189
0.9811.02573117308730.0176365611049845
0.9911.03474630190620.0137934024569641


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')