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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, 16 Aug 2016 11:27:46 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/16/t1471343299c4l5yfhmhbjxfes.htm/, Retrieved Sat, 04 May 2024 18:10:16 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 18:10:16 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2350
2375
2300
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2325
2250
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2100
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2125
2075
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1950
2025
2175
1800
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2375
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2400
1950
1950
1900
2150
1850
2550
2225
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1850
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2400
1975
2525
2250
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1850
2150
2350
1900
2525
2175
2450
2300
2375
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2450
2275
1825
2200
2050
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2475
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2275
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1650
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1850
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1875
2225
1975
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2475
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1825
2125
2100
2075
2375

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

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011693.4534231277669.0093973483633
0.021749.9257062948657.3134695454856
0.031792.109048431840.073725093033
0.041818.1507041637126.4410194493281
0.051833.9571281258619.4927874457059
0.061844.7965359234217.9956476675173
0.071854.0849468567120.9611230753584
0.081863.8812663302426.9591885251165
0.091875.2688894971333.9697286005715
0.11888.5247767909640.2338521529237
0.111903.3302916493244.7357060335186
0.121919.0792986835147.3341003941077
0.131935.1715979705548.51548833399
0.141951.1846921594248.9684562079434
0.151966.902306660149.1999044032991
0.161982.2480578540749.362281364651
0.171997.1934666819649.3236258727581
0.182011.6914932112148.8530507308613
0.192025.6546108092147.7843951112809
0.22038.9702132046746.0954678109508
0.212051.5341961389343.9203661500613
0.222063.2840510129241.4930408891652
0.232074.2194956829239.1033256676707
0.242084.4061197012737.032944833006
0.252093.9632340869735.484360749648
0.262103.0407584621434.5509562402225
0.272111.791809137334.1792813551796
0.282120.3477248643234.2218464715434
0.292128.8006461919634.4760868270652
0.32137.1959868854934.7359641404581
0.312145.5342275752334.8291322561754
0.322153.7794479236134.640036308331
0.332161.8713731639734.1097205340497
0.342169.7382133698933.2100582360186
0.352177.308566155231.9728059668723
0.362184.5215212987730.4599993500938
0.372191.334574768728.7750165455648
0.382197.729098874127.0283175774981
0.392203.7131421141625.3526446249523
0.42209.3214146385323.8654823591025
0.412214.6124962298122.6825295291279
0.422219.6635411931321.8831532597157
0.432224.5629919630521.5067480538516
0.442229.4020156611521.5510445567413
0.452234.2655269089221.9665870670475
0.462239.223740306422.6585400084703
0.472244.3251941871423.5082555291751
0.482249.5920999833524.3794232030684
0.492255.0186999064525.1394021809507
0.52260.5730493306625.6756514219638
0.512266.2022529907825.8985217607744
0.522271.8406624108225.7698777403928
0.532277.4199376976925.301151360771
0.542282.8793402508224.5507852523728
0.552288.1743716898223.6171351614512
0.562293.2820927274822.6216966753319
0.572298.2021751525721.682330804305
0.582302.9537788534320.8813788419739
0.592307.5693616138320.2695494149861
0.62312.0871684764619.8456061671549
0.612316.5442099081319.5817079153843
0.622320.9710644328819.4336512760325
0.632325.3890747945419.3451938905076
0.642329.8097618485719.2755401248742
0.652334.2358047371319.1864630100316
0.662338.6628341270219.0555120141456
0.672343.0815198958518.8645687217476
0.682347.4798626761618.60921470926
0.692351.8460051539618.2909420200006
0.72356.1720156306417.9293091103369
0.712360.4587677573817.5566159651846
0.722364.7212461948217.2411273442728
0.732368.9926581586117.066203929362
0.742373.3251965851917.1202823479149
0.752377.7857339230117.4689074733216
0.762382.4462631880618.1043407622676
0.772387.3710292533818.9572171122678
0.782392.6040011950119.9029969977944
0.792398.1606734557620.8003683292167
0.82404.0268644750421.5259608202705
0.812410.1648365670822.0085163911328
0.822416.524889145122.2289170526859
0.832423.0595763907722.2219580128646
0.842429.7379889348622.0597557058579
0.852436.5583091005121.8511064303531
0.862443.5570395231421.7179935197551
0.872450.8123861067121.7871400912905
0.882458.4373436110422.1405976977042
0.892466.5555130573122.7688979281631
0.92475.2516034905223.5163330874877
0.912484.496371783724.0105963741212
0.922494.0766359342923.6937864339691
0.932503.6235554155722.0626040224266
0.942512.8988139560819.2737726012403
0.952522.483366046417.0708972195037
0.962534.8415498513419.5580896034589
0.972555.4731734837630.3461168718573
0.982592.8970257930949.3371381610183
0.992650.4115526151675.4967685955572

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1693.45342312776 & 69.0093973483633 \tabularnewline
0.02 & 1749.92570629486 & 57.3134695454856 \tabularnewline
0.03 & 1792.1090484318 & 40.073725093033 \tabularnewline
0.04 & 1818.15070416371 & 26.4410194493281 \tabularnewline
0.05 & 1833.95712812586 & 19.4927874457059 \tabularnewline
0.06 & 1844.79653592342 & 17.9956476675173 \tabularnewline
0.07 & 1854.08494685671 & 20.9611230753584 \tabularnewline
0.08 & 1863.88126633024 & 26.9591885251165 \tabularnewline
0.09 & 1875.26888949713 & 33.9697286005715 \tabularnewline
0.1 & 1888.52477679096 & 40.2338521529237 \tabularnewline
0.11 & 1903.33029164932 & 44.7357060335186 \tabularnewline
0.12 & 1919.07929868351 & 47.3341003941077 \tabularnewline
0.13 & 1935.17159797055 & 48.51548833399 \tabularnewline
0.14 & 1951.18469215942 & 48.9684562079434 \tabularnewline
0.15 & 1966.9023066601 & 49.1999044032991 \tabularnewline
0.16 & 1982.24805785407 & 49.362281364651 \tabularnewline
0.17 & 1997.19346668196 & 49.3236258727581 \tabularnewline
0.18 & 2011.69149321121 & 48.8530507308613 \tabularnewline
0.19 & 2025.65461080921 & 47.7843951112809 \tabularnewline
0.2 & 2038.97021320467 & 46.0954678109508 \tabularnewline
0.21 & 2051.53419613893 & 43.9203661500613 \tabularnewline
0.22 & 2063.28405101292 & 41.4930408891652 \tabularnewline
0.23 & 2074.21949568292 & 39.1033256676707 \tabularnewline
0.24 & 2084.40611970127 & 37.032944833006 \tabularnewline
0.25 & 2093.96323408697 & 35.484360749648 \tabularnewline
0.26 & 2103.04075846214 & 34.5509562402225 \tabularnewline
0.27 & 2111.7918091373 & 34.1792813551796 \tabularnewline
0.28 & 2120.34772486432 & 34.2218464715434 \tabularnewline
0.29 & 2128.80064619196 & 34.4760868270652 \tabularnewline
0.3 & 2137.19598688549 & 34.7359641404581 \tabularnewline
0.31 & 2145.53422757523 & 34.8291322561754 \tabularnewline
0.32 & 2153.77944792361 & 34.640036308331 \tabularnewline
0.33 & 2161.87137316397 & 34.1097205340497 \tabularnewline
0.34 & 2169.73821336989 & 33.2100582360186 \tabularnewline
0.35 & 2177.3085661552 & 31.9728059668723 \tabularnewline
0.36 & 2184.52152129877 & 30.4599993500938 \tabularnewline
0.37 & 2191.3345747687 & 28.7750165455648 \tabularnewline
0.38 & 2197.7290988741 & 27.0283175774981 \tabularnewline
0.39 & 2203.71314211416 & 25.3526446249523 \tabularnewline
0.4 & 2209.32141463853 & 23.8654823591025 \tabularnewline
0.41 & 2214.61249622981 & 22.6825295291279 \tabularnewline
0.42 & 2219.66354119313 & 21.8831532597157 \tabularnewline
0.43 & 2224.56299196305 & 21.5067480538516 \tabularnewline
0.44 & 2229.40201566115 & 21.5510445567413 \tabularnewline
0.45 & 2234.26552690892 & 21.9665870670475 \tabularnewline
0.46 & 2239.2237403064 & 22.6585400084703 \tabularnewline
0.47 & 2244.32519418714 & 23.5082555291751 \tabularnewline
0.48 & 2249.59209998335 & 24.3794232030684 \tabularnewline
0.49 & 2255.01869990645 & 25.1394021809507 \tabularnewline
0.5 & 2260.57304933066 & 25.6756514219638 \tabularnewline
0.51 & 2266.20225299078 & 25.8985217607744 \tabularnewline
0.52 & 2271.84066241082 & 25.7698777403928 \tabularnewline
0.53 & 2277.41993769769 & 25.301151360771 \tabularnewline
0.54 & 2282.87934025082 & 24.5507852523728 \tabularnewline
0.55 & 2288.17437168982 & 23.6171351614512 \tabularnewline
0.56 & 2293.28209272748 & 22.6216966753319 \tabularnewline
0.57 & 2298.20217515257 & 21.682330804305 \tabularnewline
0.58 & 2302.95377885343 & 20.8813788419739 \tabularnewline
0.59 & 2307.56936161383 & 20.2695494149861 \tabularnewline
0.6 & 2312.08716847646 & 19.8456061671549 \tabularnewline
0.61 & 2316.54420990813 & 19.5817079153843 \tabularnewline
0.62 & 2320.97106443288 & 19.4336512760325 \tabularnewline
0.63 & 2325.38907479454 & 19.3451938905076 \tabularnewline
0.64 & 2329.80976184857 & 19.2755401248742 \tabularnewline
0.65 & 2334.23580473713 & 19.1864630100316 \tabularnewline
0.66 & 2338.66283412702 & 19.0555120141456 \tabularnewline
0.67 & 2343.08151989585 & 18.8645687217476 \tabularnewline
0.68 & 2347.47986267616 & 18.60921470926 \tabularnewline
0.69 & 2351.84600515396 & 18.2909420200006 \tabularnewline
0.7 & 2356.17201563064 & 17.9293091103369 \tabularnewline
0.71 & 2360.45876775738 & 17.5566159651846 \tabularnewline
0.72 & 2364.72124619482 & 17.2411273442728 \tabularnewline
0.73 & 2368.99265815861 & 17.066203929362 \tabularnewline
0.74 & 2373.32519658519 & 17.1202823479149 \tabularnewline
0.75 & 2377.78573392301 & 17.4689074733216 \tabularnewline
0.76 & 2382.44626318806 & 18.1043407622676 \tabularnewline
0.77 & 2387.37102925338 & 18.9572171122678 \tabularnewline
0.78 & 2392.60400119501 & 19.9029969977944 \tabularnewline
0.79 & 2398.16067345576 & 20.8003683292167 \tabularnewline
0.8 & 2404.02686447504 & 21.5259608202705 \tabularnewline
0.81 & 2410.16483656708 & 22.0085163911328 \tabularnewline
0.82 & 2416.5248891451 & 22.2289170526859 \tabularnewline
0.83 & 2423.05957639077 & 22.2219580128646 \tabularnewline
0.84 & 2429.73798893486 & 22.0597557058579 \tabularnewline
0.85 & 2436.55830910051 & 21.8511064303531 \tabularnewline
0.86 & 2443.55703952314 & 21.7179935197551 \tabularnewline
0.87 & 2450.81238610671 & 21.7871400912905 \tabularnewline
0.88 & 2458.43734361104 & 22.1405976977042 \tabularnewline
0.89 & 2466.55551305731 & 22.7688979281631 \tabularnewline
0.9 & 2475.25160349052 & 23.5163330874877 \tabularnewline
0.91 & 2484.4963717837 & 24.0105963741212 \tabularnewline
0.92 & 2494.07663593429 & 23.6937864339691 \tabularnewline
0.93 & 2503.62355541557 & 22.0626040224266 \tabularnewline
0.94 & 2512.89881395608 & 19.2737726012403 \tabularnewline
0.95 & 2522.4833660464 & 17.0708972195037 \tabularnewline
0.96 & 2534.84154985134 & 19.5580896034589 \tabularnewline
0.97 & 2555.47317348376 & 30.3461168718573 \tabularnewline
0.98 & 2592.89702579309 & 49.3371381610183 \tabularnewline
0.99 & 2650.41155261516 & 75.4967685955572 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1693.45342312776[/C][C]69.0093973483633[/C][/ROW]
[ROW][C]0.02[/C][C]1749.92570629486[/C][C]57.3134695454856[/C][/ROW]
[ROW][C]0.03[/C][C]1792.1090484318[/C][C]40.073725093033[/C][/ROW]
[ROW][C]0.04[/C][C]1818.15070416371[/C][C]26.4410194493281[/C][/ROW]
[ROW][C]0.05[/C][C]1833.95712812586[/C][C]19.4927874457059[/C][/ROW]
[ROW][C]0.06[/C][C]1844.79653592342[/C][C]17.9956476675173[/C][/ROW]
[ROW][C]0.07[/C][C]1854.08494685671[/C][C]20.9611230753584[/C][/ROW]
[ROW][C]0.08[/C][C]1863.88126633024[/C][C]26.9591885251165[/C][/ROW]
[ROW][C]0.09[/C][C]1875.26888949713[/C][C]33.9697286005715[/C][/ROW]
[ROW][C]0.1[/C][C]1888.52477679096[/C][C]40.2338521529237[/C][/ROW]
[ROW][C]0.11[/C][C]1903.33029164932[/C][C]44.7357060335186[/C][/ROW]
[ROW][C]0.12[/C][C]1919.07929868351[/C][C]47.3341003941077[/C][/ROW]
[ROW][C]0.13[/C][C]1935.17159797055[/C][C]48.51548833399[/C][/ROW]
[ROW][C]0.14[/C][C]1951.18469215942[/C][C]48.9684562079434[/C][/ROW]
[ROW][C]0.15[/C][C]1966.9023066601[/C][C]49.1999044032991[/C][/ROW]
[ROW][C]0.16[/C][C]1982.24805785407[/C][C]49.362281364651[/C][/ROW]
[ROW][C]0.17[/C][C]1997.19346668196[/C][C]49.3236258727581[/C][/ROW]
[ROW][C]0.18[/C][C]2011.69149321121[/C][C]48.8530507308613[/C][/ROW]
[ROW][C]0.19[/C][C]2025.65461080921[/C][C]47.7843951112809[/C][/ROW]
[ROW][C]0.2[/C][C]2038.97021320467[/C][C]46.0954678109508[/C][/ROW]
[ROW][C]0.21[/C][C]2051.53419613893[/C][C]43.9203661500613[/C][/ROW]
[ROW][C]0.22[/C][C]2063.28405101292[/C][C]41.4930408891652[/C][/ROW]
[ROW][C]0.23[/C][C]2074.21949568292[/C][C]39.1033256676707[/C][/ROW]
[ROW][C]0.24[/C][C]2084.40611970127[/C][C]37.032944833006[/C][/ROW]
[ROW][C]0.25[/C][C]2093.96323408697[/C][C]35.484360749648[/C][/ROW]
[ROW][C]0.26[/C][C]2103.04075846214[/C][C]34.5509562402225[/C][/ROW]
[ROW][C]0.27[/C][C]2111.7918091373[/C][C]34.1792813551796[/C][/ROW]
[ROW][C]0.28[/C][C]2120.34772486432[/C][C]34.2218464715434[/C][/ROW]
[ROW][C]0.29[/C][C]2128.80064619196[/C][C]34.4760868270652[/C][/ROW]
[ROW][C]0.3[/C][C]2137.19598688549[/C][C]34.7359641404581[/C][/ROW]
[ROW][C]0.31[/C][C]2145.53422757523[/C][C]34.8291322561754[/C][/ROW]
[ROW][C]0.32[/C][C]2153.77944792361[/C][C]34.640036308331[/C][/ROW]
[ROW][C]0.33[/C][C]2161.87137316397[/C][C]34.1097205340497[/C][/ROW]
[ROW][C]0.34[/C][C]2169.73821336989[/C][C]33.2100582360186[/C][/ROW]
[ROW][C]0.35[/C][C]2177.3085661552[/C][C]31.9728059668723[/C][/ROW]
[ROW][C]0.36[/C][C]2184.52152129877[/C][C]30.4599993500938[/C][/ROW]
[ROW][C]0.37[/C][C]2191.3345747687[/C][C]28.7750165455648[/C][/ROW]
[ROW][C]0.38[/C][C]2197.7290988741[/C][C]27.0283175774981[/C][/ROW]
[ROW][C]0.39[/C][C]2203.71314211416[/C][C]25.3526446249523[/C][/ROW]
[ROW][C]0.4[/C][C]2209.32141463853[/C][C]23.8654823591025[/C][/ROW]
[ROW][C]0.41[/C][C]2214.61249622981[/C][C]22.6825295291279[/C][/ROW]
[ROW][C]0.42[/C][C]2219.66354119313[/C][C]21.8831532597157[/C][/ROW]
[ROW][C]0.43[/C][C]2224.56299196305[/C][C]21.5067480538516[/C][/ROW]
[ROW][C]0.44[/C][C]2229.40201566115[/C][C]21.5510445567413[/C][/ROW]
[ROW][C]0.45[/C][C]2234.26552690892[/C][C]21.9665870670475[/C][/ROW]
[ROW][C]0.46[/C][C]2239.2237403064[/C][C]22.6585400084703[/C][/ROW]
[ROW][C]0.47[/C][C]2244.32519418714[/C][C]23.5082555291751[/C][/ROW]
[ROW][C]0.48[/C][C]2249.59209998335[/C][C]24.3794232030684[/C][/ROW]
[ROW][C]0.49[/C][C]2255.01869990645[/C][C]25.1394021809507[/C][/ROW]
[ROW][C]0.5[/C][C]2260.57304933066[/C][C]25.6756514219638[/C][/ROW]
[ROW][C]0.51[/C][C]2266.20225299078[/C][C]25.8985217607744[/C][/ROW]
[ROW][C]0.52[/C][C]2271.84066241082[/C][C]25.7698777403928[/C][/ROW]
[ROW][C]0.53[/C][C]2277.41993769769[/C][C]25.301151360771[/C][/ROW]
[ROW][C]0.54[/C][C]2282.87934025082[/C][C]24.5507852523728[/C][/ROW]
[ROW][C]0.55[/C][C]2288.17437168982[/C][C]23.6171351614512[/C][/ROW]
[ROW][C]0.56[/C][C]2293.28209272748[/C][C]22.6216966753319[/C][/ROW]
[ROW][C]0.57[/C][C]2298.20217515257[/C][C]21.682330804305[/C][/ROW]
[ROW][C]0.58[/C][C]2302.95377885343[/C][C]20.8813788419739[/C][/ROW]
[ROW][C]0.59[/C][C]2307.56936161383[/C][C]20.2695494149861[/C][/ROW]
[ROW][C]0.6[/C][C]2312.08716847646[/C][C]19.8456061671549[/C][/ROW]
[ROW][C]0.61[/C][C]2316.54420990813[/C][C]19.5817079153843[/C][/ROW]
[ROW][C]0.62[/C][C]2320.97106443288[/C][C]19.4336512760325[/C][/ROW]
[ROW][C]0.63[/C][C]2325.38907479454[/C][C]19.3451938905076[/C][/ROW]
[ROW][C]0.64[/C][C]2329.80976184857[/C][C]19.2755401248742[/C][/ROW]
[ROW][C]0.65[/C][C]2334.23580473713[/C][C]19.1864630100316[/C][/ROW]
[ROW][C]0.66[/C][C]2338.66283412702[/C][C]19.0555120141456[/C][/ROW]
[ROW][C]0.67[/C][C]2343.08151989585[/C][C]18.8645687217476[/C][/ROW]
[ROW][C]0.68[/C][C]2347.47986267616[/C][C]18.60921470926[/C][/ROW]
[ROW][C]0.69[/C][C]2351.84600515396[/C][C]18.2909420200006[/C][/ROW]
[ROW][C]0.7[/C][C]2356.17201563064[/C][C]17.9293091103369[/C][/ROW]
[ROW][C]0.71[/C][C]2360.45876775738[/C][C]17.5566159651846[/C][/ROW]
[ROW][C]0.72[/C][C]2364.72124619482[/C][C]17.2411273442728[/C][/ROW]
[ROW][C]0.73[/C][C]2368.99265815861[/C][C]17.066203929362[/C][/ROW]
[ROW][C]0.74[/C][C]2373.32519658519[/C][C]17.1202823479149[/C][/ROW]
[ROW][C]0.75[/C][C]2377.78573392301[/C][C]17.4689074733216[/C][/ROW]
[ROW][C]0.76[/C][C]2382.44626318806[/C][C]18.1043407622676[/C][/ROW]
[ROW][C]0.77[/C][C]2387.37102925338[/C][C]18.9572171122678[/C][/ROW]
[ROW][C]0.78[/C][C]2392.60400119501[/C][C]19.9029969977944[/C][/ROW]
[ROW][C]0.79[/C][C]2398.16067345576[/C][C]20.8003683292167[/C][/ROW]
[ROW][C]0.8[/C][C]2404.02686447504[/C][C]21.5259608202705[/C][/ROW]
[ROW][C]0.81[/C][C]2410.16483656708[/C][C]22.0085163911328[/C][/ROW]
[ROW][C]0.82[/C][C]2416.5248891451[/C][C]22.2289170526859[/C][/ROW]
[ROW][C]0.83[/C][C]2423.05957639077[/C][C]22.2219580128646[/C][/ROW]
[ROW][C]0.84[/C][C]2429.73798893486[/C][C]22.0597557058579[/C][/ROW]
[ROW][C]0.85[/C][C]2436.55830910051[/C][C]21.8511064303531[/C][/ROW]
[ROW][C]0.86[/C][C]2443.55703952314[/C][C]21.7179935197551[/C][/ROW]
[ROW][C]0.87[/C][C]2450.81238610671[/C][C]21.7871400912905[/C][/ROW]
[ROW][C]0.88[/C][C]2458.43734361104[/C][C]22.1405976977042[/C][/ROW]
[ROW][C]0.89[/C][C]2466.55551305731[/C][C]22.7688979281631[/C][/ROW]
[ROW][C]0.9[/C][C]2475.25160349052[/C][C]23.5163330874877[/C][/ROW]
[ROW][C]0.91[/C][C]2484.4963717837[/C][C]24.0105963741212[/C][/ROW]
[ROW][C]0.92[/C][C]2494.07663593429[/C][C]23.6937864339691[/C][/ROW]
[ROW][C]0.93[/C][C]2503.62355541557[/C][C]22.0626040224266[/C][/ROW]
[ROW][C]0.94[/C][C]2512.89881395608[/C][C]19.2737726012403[/C][/ROW]
[ROW][C]0.95[/C][C]2522.4833660464[/C][C]17.0708972195037[/C][/ROW]
[ROW][C]0.96[/C][C]2534.84154985134[/C][C]19.5580896034589[/C][/ROW]
[ROW][C]0.97[/C][C]2555.47317348376[/C][C]30.3461168718573[/C][/ROW]
[ROW][C]0.98[/C][C]2592.89702579309[/C][C]49.3371381610183[/C][/ROW]
[ROW][C]0.99[/C][C]2650.41155261516[/C][C]75.4967685955572[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.011693.4534231277669.0093973483633
0.021749.9257062948657.3134695454856
0.031792.109048431840.073725093033
0.041818.1507041637126.4410194493281
0.051833.9571281258619.4927874457059
0.061844.7965359234217.9956476675173
0.071854.0849468567120.9611230753584
0.081863.8812663302426.9591885251165
0.091875.2688894971333.9697286005715
0.11888.5247767909640.2338521529237
0.111903.3302916493244.7357060335186
0.121919.0792986835147.3341003941077
0.131935.1715979705548.51548833399
0.141951.1846921594248.9684562079434
0.151966.902306660149.1999044032991
0.161982.2480578540749.362281364651
0.171997.1934666819649.3236258727581
0.182011.6914932112148.8530507308613
0.192025.6546108092147.7843951112809
0.22038.9702132046746.0954678109508
0.212051.5341961389343.9203661500613
0.222063.2840510129241.4930408891652
0.232074.2194956829239.1033256676707
0.242084.4061197012737.032944833006
0.252093.9632340869735.484360749648
0.262103.0407584621434.5509562402225
0.272111.791809137334.1792813551796
0.282120.3477248643234.2218464715434
0.292128.8006461919634.4760868270652
0.32137.1959868854934.7359641404581
0.312145.5342275752334.8291322561754
0.322153.7794479236134.640036308331
0.332161.8713731639734.1097205340497
0.342169.7382133698933.2100582360186
0.352177.308566155231.9728059668723
0.362184.5215212987730.4599993500938
0.372191.334574768728.7750165455648
0.382197.729098874127.0283175774981
0.392203.7131421141625.3526446249523
0.42209.3214146385323.8654823591025
0.412214.6124962298122.6825295291279
0.422219.6635411931321.8831532597157
0.432224.5629919630521.5067480538516
0.442229.4020156611521.5510445567413
0.452234.2655269089221.9665870670475
0.462239.223740306422.6585400084703
0.472244.3251941871423.5082555291751
0.482249.5920999833524.3794232030684
0.492255.0186999064525.1394021809507
0.52260.5730493306625.6756514219638
0.512266.2022529907825.8985217607744
0.522271.8406624108225.7698777403928
0.532277.4199376976925.301151360771
0.542282.8793402508224.5507852523728
0.552288.1743716898223.6171351614512
0.562293.2820927274822.6216966753319
0.572298.2021751525721.682330804305
0.582302.9537788534320.8813788419739
0.592307.5693616138320.2695494149861
0.62312.0871684764619.8456061671549
0.612316.5442099081319.5817079153843
0.622320.9710644328819.4336512760325
0.632325.3890747945419.3451938905076
0.642329.8097618485719.2755401248742
0.652334.2358047371319.1864630100316
0.662338.6628341270219.0555120141456
0.672343.0815198958518.8645687217476
0.682347.4798626761618.60921470926
0.692351.8460051539618.2909420200006
0.72356.1720156306417.9293091103369
0.712360.4587677573817.5566159651846
0.722364.7212461948217.2411273442728
0.732368.9926581586117.066203929362
0.742373.3251965851917.1202823479149
0.752377.7857339230117.4689074733216
0.762382.4462631880618.1043407622676
0.772387.3710292533818.9572171122678
0.782392.6040011950119.9029969977944
0.792398.1606734557620.8003683292167
0.82404.0268644750421.5259608202705
0.812410.1648365670822.0085163911328
0.822416.524889145122.2289170526859
0.832423.0595763907722.2219580128646
0.842429.7379889348622.0597557058579
0.852436.5583091005121.8511064303531
0.862443.5570395231421.7179935197551
0.872450.8123861067121.7871400912905
0.882458.4373436110422.1405976977042
0.892466.5555130573122.7688979281631
0.92475.2516034905223.5163330874877
0.912484.496371783724.0105963741212
0.922494.0766359342923.6937864339691
0.932503.6235554155722.0626040224266
0.942512.8988139560819.2737726012403
0.952522.483366046417.0708972195037
0.962534.8415498513419.5580896034589
0.972555.4731734837630.3461168718573
0.982592.8970257930949.3371381610183
0.992650.4115526151675.4967685955572


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')