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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 computationWed, 08 Oct 2014 11:58:26 +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/2014/Oct/08/t141276615936b9nvfs4fzaawq.htm/, Retrieved Sat, 11 May 2024 18:21:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239498, Retrieved Sat, 11 May 2024 18:21:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2014-10-08 10:58:26] [25af208440423f5cc2d7fa35cacd4ca5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82
2014,45
1862,83
1905,41
1810,99
1670,07
1864,44
2052,02
2029,6
2070,83
2293,41
2443,27
2513,17
2466,92
2502,66
2539,91
2482,6
2626,15
2656,32
2446,66
2467,38
2462,32
2504,58
2579,39
2649,24
2636,87
2613,94
2634,01
2711,94
2646,43
2717,79
2701,54
2572,98
2488,92
2204,91
2123,99
2149,1
2036,71
2048,32
2159,56
2267,79
2313,55
2247,3
2134,43
2114
2236,94
2345,39
2422,4
2385,96
2378,17
2457,13
2527,67
2530,03
2604,92
2596,8
2713,2
2574,82
2611,98
2768,46
2785,61
2859,27
2880,53
2824,5

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239498&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239498&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011709.92126247365115.179021074409
0.021764.6284846263886.1891850713949
0.031814.6861116270267.6824552454654
0.041854.9300852286163.70044130089
0.051888.1864101552568.0177989141681
0.061917.9077065468572.6365305752758
0.071945.6088394140473.2657294746134
0.081971.259686485269.3571591531179
0.091994.3473292300462.6415383175945
0.12014.5980369327555.5665365440132
0.112032.2004528251750.1116822980342
0.122047.6978639901647.1661355312207
0.132061.7645579143446.5287677997315
0.142075.0143500675347.4101538955944
0.152087.9006869244649.0222830619981
0.162100.7030647904850.8433208666356
0.172113.5654581316952.6508383224931
0.182126.5508104630254.4279746759626
0.192139.6874930250856.2516309745048
0.22152.9977927240358.2089186053084
0.212166.5089640526660.3312014830909
0.222180.2525354782962.6112323109268
0.232194.2583158030564.9980030659078
0.242208.5477866144467.4227781515769
0.252223.1291070543969.8128948093764
0.262237.9940112735372.095692856307
0.272253.1159384051574.1762453833969
0.282268.4487118890875.9552508530019
0.292283.9255805314477.3222138612531
0.32299.4590013674178.1542906771859
0.312314.9418674457578.3307418224736
0.322330.2508407914577.7660448083552
0.332345.2520920388576.398692643586
0.342359.8092237393874.2301526388624
0.352373.7926376525871.3155306030483
0.362387.0892377544567.7598599384602
0.372399.6112195450363.722157895114
0.382411.3027974344359.39551057951
0.392422.1440277836554.9933505040637
0.42432.151323038150.7220601567756
0.412441.374733550246.7712496678503
0.422449.8925100488143.2997308020456
0.432457.8037784434840.4103520891109
0.442465.2203137585738.1730400595075
0.452472.2583795216236.5861986495677
0.462479.0314260306335.6183832581281
0.472485.6441677242135.1894688693282
0.482492.1882548217335.2130018109548
0.492498.7394856732435.5863156353417
0.52505.3563254882536.2101373864659
0.512512.0794277626336.9817726368386
0.522518.9318884474337.8107295901139
0.532525.9200648171338.6057647221678
0.542533.0349120801339.2839023070126
0.552540.2538835178139.7774681335786
0.562547.5434722850240.0240367648879
0.572554.8624364273539.9966526709722
0.582562.1656581383139.6744589735807
0.592569.4084746607539.073588976022
0.62576.5512162014138.2378530191593
0.612583.563622165537.2254830879232
0.622590.4287914270136.116254171174
0.632597.146349406235.0203139853968
0.642603.734569051434.0372912932511
0.652610.2312504066933.2732814167786
0.662616.6932415158632.8419555499425
0.672623.1945836452732.8262091841016
0.682629.8234053193233.2955977177634
0.692636.6778826725634.2751803584829
0.72643.8618103700935.7715497134256
0.712651.4805314207737.7417111879688
0.722659.6380696968840.1331239635214
0.732668.4362145392942.8869137248322
0.742677.9759971611145.9591596172515
0.752688.3615516754149.3367084848013
0.762699.7059648347553.0444026861242
0.772712.1386592015857.1364241095722
0.782725.8143734452761.699064967511
0.792740.9249967302766.8276259345878
0.82757.7171939574572.6588271416687
0.812776.5203371434279.4069309379356
0.822797.789634013487.4187781790542
0.832822.1668130860397.2787891509627
0.842850.55310123569109.864696483204
0.852884.17466628993126.329432173602
0.862924.59978990697147.899753499244
0.872973.64624333155175.359614741274
0.883033.11189980259208.256605434257
0.893104.29359031811244.051916797001
0.93187.34537728319277.671120109739
0.913280.65670678288301.997454382541
0.923380.54364144937309.635921252469
0.933481.54198501903295.679987859971
0.943577.38834059869260.337070799084
0.953662.41089892473209.736092110419
0.963732.73720335307153.79587642575
0.973786.74594157874101.824561965988
0.983824.6381554271959.0140392795846
0.993847.6200887744727.8139319144023

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1709.92126247365 & 115.179021074409 \tabularnewline
0.02 & 1764.62848462638 & 86.1891850713949 \tabularnewline
0.03 & 1814.68611162702 & 67.6824552454654 \tabularnewline
0.04 & 1854.93008522861 & 63.70044130089 \tabularnewline
0.05 & 1888.18641015525 & 68.0177989141681 \tabularnewline
0.06 & 1917.90770654685 & 72.6365305752758 \tabularnewline
0.07 & 1945.60883941404 & 73.2657294746134 \tabularnewline
0.08 & 1971.2596864852 & 69.3571591531179 \tabularnewline
0.09 & 1994.34732923004 & 62.6415383175945 \tabularnewline
0.1 & 2014.59803693275 & 55.5665365440132 \tabularnewline
0.11 & 2032.20045282517 & 50.1116822980342 \tabularnewline
0.12 & 2047.69786399016 & 47.1661355312207 \tabularnewline
0.13 & 2061.76455791434 & 46.5287677997315 \tabularnewline
0.14 & 2075.01435006753 & 47.4101538955944 \tabularnewline
0.15 & 2087.90068692446 & 49.0222830619981 \tabularnewline
0.16 & 2100.70306479048 & 50.8433208666356 \tabularnewline
0.17 & 2113.56545813169 & 52.6508383224931 \tabularnewline
0.18 & 2126.55081046302 & 54.4279746759626 \tabularnewline
0.19 & 2139.68749302508 & 56.2516309745048 \tabularnewline
0.2 & 2152.99779272403 & 58.2089186053084 \tabularnewline
0.21 & 2166.50896405266 & 60.3312014830909 \tabularnewline
0.22 & 2180.25253547829 & 62.6112323109268 \tabularnewline
0.23 & 2194.25831580305 & 64.9980030659078 \tabularnewline
0.24 & 2208.54778661444 & 67.4227781515769 \tabularnewline
0.25 & 2223.12910705439 & 69.8128948093764 \tabularnewline
0.26 & 2237.99401127353 & 72.095692856307 \tabularnewline
0.27 & 2253.11593840515 & 74.1762453833969 \tabularnewline
0.28 & 2268.44871188908 & 75.9552508530019 \tabularnewline
0.29 & 2283.92558053144 & 77.3222138612531 \tabularnewline
0.3 & 2299.45900136741 & 78.1542906771859 \tabularnewline
0.31 & 2314.94186744575 & 78.3307418224736 \tabularnewline
0.32 & 2330.25084079145 & 77.7660448083552 \tabularnewline
0.33 & 2345.25209203885 & 76.398692643586 \tabularnewline
0.34 & 2359.80922373938 & 74.2301526388624 \tabularnewline
0.35 & 2373.79263765258 & 71.3155306030483 \tabularnewline
0.36 & 2387.08923775445 & 67.7598599384602 \tabularnewline
0.37 & 2399.61121954503 & 63.722157895114 \tabularnewline
0.38 & 2411.30279743443 & 59.39551057951 \tabularnewline
0.39 & 2422.14402778365 & 54.9933505040637 \tabularnewline
0.4 & 2432.1513230381 & 50.7220601567756 \tabularnewline
0.41 & 2441.3747335502 & 46.7712496678503 \tabularnewline
0.42 & 2449.89251004881 & 43.2997308020456 \tabularnewline
0.43 & 2457.80377844348 & 40.4103520891109 \tabularnewline
0.44 & 2465.22031375857 & 38.1730400595075 \tabularnewline
0.45 & 2472.25837952162 & 36.5861986495677 \tabularnewline
0.46 & 2479.03142603063 & 35.6183832581281 \tabularnewline
0.47 & 2485.64416772421 & 35.1894688693282 \tabularnewline
0.48 & 2492.18825482173 & 35.2130018109548 \tabularnewline
0.49 & 2498.73948567324 & 35.5863156353417 \tabularnewline
0.5 & 2505.35632548825 & 36.2101373864659 \tabularnewline
0.51 & 2512.07942776263 & 36.9817726368386 \tabularnewline
0.52 & 2518.93188844743 & 37.8107295901139 \tabularnewline
0.53 & 2525.92006481713 & 38.6057647221678 \tabularnewline
0.54 & 2533.03491208013 & 39.2839023070126 \tabularnewline
0.55 & 2540.25388351781 & 39.7774681335786 \tabularnewline
0.56 & 2547.54347228502 & 40.0240367648879 \tabularnewline
0.57 & 2554.86243642735 & 39.9966526709722 \tabularnewline
0.58 & 2562.16565813831 & 39.6744589735807 \tabularnewline
0.59 & 2569.40847466075 & 39.073588976022 \tabularnewline
0.6 & 2576.55121620141 & 38.2378530191593 \tabularnewline
0.61 & 2583.5636221655 & 37.2254830879232 \tabularnewline
0.62 & 2590.42879142701 & 36.116254171174 \tabularnewline
0.63 & 2597.1463494062 & 35.0203139853968 \tabularnewline
0.64 & 2603.7345690514 & 34.0372912932511 \tabularnewline
0.65 & 2610.23125040669 & 33.2732814167786 \tabularnewline
0.66 & 2616.69324151586 & 32.8419555499425 \tabularnewline
0.67 & 2623.19458364527 & 32.8262091841016 \tabularnewline
0.68 & 2629.82340531932 & 33.2955977177634 \tabularnewline
0.69 & 2636.67788267256 & 34.2751803584829 \tabularnewline
0.7 & 2643.86181037009 & 35.7715497134256 \tabularnewline
0.71 & 2651.48053142077 & 37.7417111879688 \tabularnewline
0.72 & 2659.63806969688 & 40.1331239635214 \tabularnewline
0.73 & 2668.43621453929 & 42.8869137248322 \tabularnewline
0.74 & 2677.97599716111 & 45.9591596172515 \tabularnewline
0.75 & 2688.36155167541 & 49.3367084848013 \tabularnewline
0.76 & 2699.70596483475 & 53.0444026861242 \tabularnewline
0.77 & 2712.13865920158 & 57.1364241095722 \tabularnewline
0.78 & 2725.81437344527 & 61.699064967511 \tabularnewline
0.79 & 2740.92499673027 & 66.8276259345878 \tabularnewline
0.8 & 2757.71719395745 & 72.6588271416687 \tabularnewline
0.81 & 2776.52033714342 & 79.4069309379356 \tabularnewline
0.82 & 2797.7896340134 & 87.4187781790542 \tabularnewline
0.83 & 2822.16681308603 & 97.2787891509627 \tabularnewline
0.84 & 2850.55310123569 & 109.864696483204 \tabularnewline
0.85 & 2884.17466628993 & 126.329432173602 \tabularnewline
0.86 & 2924.59978990697 & 147.899753499244 \tabularnewline
0.87 & 2973.64624333155 & 175.359614741274 \tabularnewline
0.88 & 3033.11189980259 & 208.256605434257 \tabularnewline
0.89 & 3104.29359031811 & 244.051916797001 \tabularnewline
0.9 & 3187.34537728319 & 277.671120109739 \tabularnewline
0.91 & 3280.65670678288 & 301.997454382541 \tabularnewline
0.92 & 3380.54364144937 & 309.635921252469 \tabularnewline
0.93 & 3481.54198501903 & 295.679987859971 \tabularnewline
0.94 & 3577.38834059869 & 260.337070799084 \tabularnewline
0.95 & 3662.41089892473 & 209.736092110419 \tabularnewline
0.96 & 3732.73720335307 & 153.79587642575 \tabularnewline
0.97 & 3786.74594157874 & 101.824561965988 \tabularnewline
0.98 & 3824.63815542719 & 59.0140392795846 \tabularnewline
0.99 & 3847.62008877447 & 27.8139319144023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239498&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]1709.92126247365[/C][C]115.179021074409[/C][/ROW]
[ROW][C]0.02[/C][C]1764.62848462638[/C][C]86.1891850713949[/C][/ROW]
[ROW][C]0.03[/C][C]1814.68611162702[/C][C]67.6824552454654[/C][/ROW]
[ROW][C]0.04[/C][C]1854.93008522861[/C][C]63.70044130089[/C][/ROW]
[ROW][C]0.05[/C][C]1888.18641015525[/C][C]68.0177989141681[/C][/ROW]
[ROW][C]0.06[/C][C]1917.90770654685[/C][C]72.6365305752758[/C][/ROW]
[ROW][C]0.07[/C][C]1945.60883941404[/C][C]73.2657294746134[/C][/ROW]
[ROW][C]0.08[/C][C]1971.2596864852[/C][C]69.3571591531179[/C][/ROW]
[ROW][C]0.09[/C][C]1994.34732923004[/C][C]62.6415383175945[/C][/ROW]
[ROW][C]0.1[/C][C]2014.59803693275[/C][C]55.5665365440132[/C][/ROW]
[ROW][C]0.11[/C][C]2032.20045282517[/C][C]50.1116822980342[/C][/ROW]
[ROW][C]0.12[/C][C]2047.69786399016[/C][C]47.1661355312207[/C][/ROW]
[ROW][C]0.13[/C][C]2061.76455791434[/C][C]46.5287677997315[/C][/ROW]
[ROW][C]0.14[/C][C]2075.01435006753[/C][C]47.4101538955944[/C][/ROW]
[ROW][C]0.15[/C][C]2087.90068692446[/C][C]49.0222830619981[/C][/ROW]
[ROW][C]0.16[/C][C]2100.70306479048[/C][C]50.8433208666356[/C][/ROW]
[ROW][C]0.17[/C][C]2113.56545813169[/C][C]52.6508383224931[/C][/ROW]
[ROW][C]0.18[/C][C]2126.55081046302[/C][C]54.4279746759626[/C][/ROW]
[ROW][C]0.19[/C][C]2139.68749302508[/C][C]56.2516309745048[/C][/ROW]
[ROW][C]0.2[/C][C]2152.99779272403[/C][C]58.2089186053084[/C][/ROW]
[ROW][C]0.21[/C][C]2166.50896405266[/C][C]60.3312014830909[/C][/ROW]
[ROW][C]0.22[/C][C]2180.25253547829[/C][C]62.6112323109268[/C][/ROW]
[ROW][C]0.23[/C][C]2194.25831580305[/C][C]64.9980030659078[/C][/ROW]
[ROW][C]0.24[/C][C]2208.54778661444[/C][C]67.4227781515769[/C][/ROW]
[ROW][C]0.25[/C][C]2223.12910705439[/C][C]69.8128948093764[/C][/ROW]
[ROW][C]0.26[/C][C]2237.99401127353[/C][C]72.095692856307[/C][/ROW]
[ROW][C]0.27[/C][C]2253.11593840515[/C][C]74.1762453833969[/C][/ROW]
[ROW][C]0.28[/C][C]2268.44871188908[/C][C]75.9552508530019[/C][/ROW]
[ROW][C]0.29[/C][C]2283.92558053144[/C][C]77.3222138612531[/C][/ROW]
[ROW][C]0.3[/C][C]2299.45900136741[/C][C]78.1542906771859[/C][/ROW]
[ROW][C]0.31[/C][C]2314.94186744575[/C][C]78.3307418224736[/C][/ROW]
[ROW][C]0.32[/C][C]2330.25084079145[/C][C]77.7660448083552[/C][/ROW]
[ROW][C]0.33[/C][C]2345.25209203885[/C][C]76.398692643586[/C][/ROW]
[ROW][C]0.34[/C][C]2359.80922373938[/C][C]74.2301526388624[/C][/ROW]
[ROW][C]0.35[/C][C]2373.79263765258[/C][C]71.3155306030483[/C][/ROW]
[ROW][C]0.36[/C][C]2387.08923775445[/C][C]67.7598599384602[/C][/ROW]
[ROW][C]0.37[/C][C]2399.61121954503[/C][C]63.722157895114[/C][/ROW]
[ROW][C]0.38[/C][C]2411.30279743443[/C][C]59.39551057951[/C][/ROW]
[ROW][C]0.39[/C][C]2422.14402778365[/C][C]54.9933505040637[/C][/ROW]
[ROW][C]0.4[/C][C]2432.1513230381[/C][C]50.7220601567756[/C][/ROW]
[ROW][C]0.41[/C][C]2441.3747335502[/C][C]46.7712496678503[/C][/ROW]
[ROW][C]0.42[/C][C]2449.89251004881[/C][C]43.2997308020456[/C][/ROW]
[ROW][C]0.43[/C][C]2457.80377844348[/C][C]40.4103520891109[/C][/ROW]
[ROW][C]0.44[/C][C]2465.22031375857[/C][C]38.1730400595075[/C][/ROW]
[ROW][C]0.45[/C][C]2472.25837952162[/C][C]36.5861986495677[/C][/ROW]
[ROW][C]0.46[/C][C]2479.03142603063[/C][C]35.6183832581281[/C][/ROW]
[ROW][C]0.47[/C][C]2485.64416772421[/C][C]35.1894688693282[/C][/ROW]
[ROW][C]0.48[/C][C]2492.18825482173[/C][C]35.2130018109548[/C][/ROW]
[ROW][C]0.49[/C][C]2498.73948567324[/C][C]35.5863156353417[/C][/ROW]
[ROW][C]0.5[/C][C]2505.35632548825[/C][C]36.2101373864659[/C][/ROW]
[ROW][C]0.51[/C][C]2512.07942776263[/C][C]36.9817726368386[/C][/ROW]
[ROW][C]0.52[/C][C]2518.93188844743[/C][C]37.8107295901139[/C][/ROW]
[ROW][C]0.53[/C][C]2525.92006481713[/C][C]38.6057647221678[/C][/ROW]
[ROW][C]0.54[/C][C]2533.03491208013[/C][C]39.2839023070126[/C][/ROW]
[ROW][C]0.55[/C][C]2540.25388351781[/C][C]39.7774681335786[/C][/ROW]
[ROW][C]0.56[/C][C]2547.54347228502[/C][C]40.0240367648879[/C][/ROW]
[ROW][C]0.57[/C][C]2554.86243642735[/C][C]39.9966526709722[/C][/ROW]
[ROW][C]0.58[/C][C]2562.16565813831[/C][C]39.6744589735807[/C][/ROW]
[ROW][C]0.59[/C][C]2569.40847466075[/C][C]39.073588976022[/C][/ROW]
[ROW][C]0.6[/C][C]2576.55121620141[/C][C]38.2378530191593[/C][/ROW]
[ROW][C]0.61[/C][C]2583.5636221655[/C][C]37.2254830879232[/C][/ROW]
[ROW][C]0.62[/C][C]2590.42879142701[/C][C]36.116254171174[/C][/ROW]
[ROW][C]0.63[/C][C]2597.1463494062[/C][C]35.0203139853968[/C][/ROW]
[ROW][C]0.64[/C][C]2603.7345690514[/C][C]34.0372912932511[/C][/ROW]
[ROW][C]0.65[/C][C]2610.23125040669[/C][C]33.2732814167786[/C][/ROW]
[ROW][C]0.66[/C][C]2616.69324151586[/C][C]32.8419555499425[/C][/ROW]
[ROW][C]0.67[/C][C]2623.19458364527[/C][C]32.8262091841016[/C][/ROW]
[ROW][C]0.68[/C][C]2629.82340531932[/C][C]33.2955977177634[/C][/ROW]
[ROW][C]0.69[/C][C]2636.67788267256[/C][C]34.2751803584829[/C][/ROW]
[ROW][C]0.7[/C][C]2643.86181037009[/C][C]35.7715497134256[/C][/ROW]
[ROW][C]0.71[/C][C]2651.48053142077[/C][C]37.7417111879688[/C][/ROW]
[ROW][C]0.72[/C][C]2659.63806969688[/C][C]40.1331239635214[/C][/ROW]
[ROW][C]0.73[/C][C]2668.43621453929[/C][C]42.8869137248322[/C][/ROW]
[ROW][C]0.74[/C][C]2677.97599716111[/C][C]45.9591596172515[/C][/ROW]
[ROW][C]0.75[/C][C]2688.36155167541[/C][C]49.3367084848013[/C][/ROW]
[ROW][C]0.76[/C][C]2699.70596483475[/C][C]53.0444026861242[/C][/ROW]
[ROW][C]0.77[/C][C]2712.13865920158[/C][C]57.1364241095722[/C][/ROW]
[ROW][C]0.78[/C][C]2725.81437344527[/C][C]61.699064967511[/C][/ROW]
[ROW][C]0.79[/C][C]2740.92499673027[/C][C]66.8276259345878[/C][/ROW]
[ROW][C]0.8[/C][C]2757.71719395745[/C][C]72.6588271416687[/C][/ROW]
[ROW][C]0.81[/C][C]2776.52033714342[/C][C]79.4069309379356[/C][/ROW]
[ROW][C]0.82[/C][C]2797.7896340134[/C][C]87.4187781790542[/C][/ROW]
[ROW][C]0.83[/C][C]2822.16681308603[/C][C]97.2787891509627[/C][/ROW]
[ROW][C]0.84[/C][C]2850.55310123569[/C][C]109.864696483204[/C][/ROW]
[ROW][C]0.85[/C][C]2884.17466628993[/C][C]126.329432173602[/C][/ROW]
[ROW][C]0.86[/C][C]2924.59978990697[/C][C]147.899753499244[/C][/ROW]
[ROW][C]0.87[/C][C]2973.64624333155[/C][C]175.359614741274[/C][/ROW]
[ROW][C]0.88[/C][C]3033.11189980259[/C][C]208.256605434257[/C][/ROW]
[ROW][C]0.89[/C][C]3104.29359031811[/C][C]244.051916797001[/C][/ROW]
[ROW][C]0.9[/C][C]3187.34537728319[/C][C]277.671120109739[/C][/ROW]
[ROW][C]0.91[/C][C]3280.65670678288[/C][C]301.997454382541[/C][/ROW]
[ROW][C]0.92[/C][C]3380.54364144937[/C][C]309.635921252469[/C][/ROW]
[ROW][C]0.93[/C][C]3481.54198501903[/C][C]295.679987859971[/C][/ROW]
[ROW][C]0.94[/C][C]3577.38834059869[/C][C]260.337070799084[/C][/ROW]
[ROW][C]0.95[/C][C]3662.41089892473[/C][C]209.736092110419[/C][/ROW]
[ROW][C]0.96[/C][C]3732.73720335307[/C][C]153.79587642575[/C][/ROW]
[ROW][C]0.97[/C][C]3786.74594157874[/C][C]101.824561965988[/C][/ROW]
[ROW][C]0.98[/C][C]3824.63815542719[/C][C]59.0140392795846[/C][/ROW]
[ROW][C]0.99[/C][C]3847.62008877447[/C][C]27.8139319144023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239498&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
0.011709.92126247365115.179021074409
0.021764.6284846263886.1891850713949
0.031814.6861116270267.6824552454654
0.041854.9300852286163.70044130089
0.051888.1864101552568.0177989141681
0.061917.9077065468572.6365305752758
0.071945.6088394140473.2657294746134
0.081971.259686485269.3571591531179
0.091994.3473292300462.6415383175945
0.12014.5980369327555.5665365440132
0.112032.2004528251750.1116822980342
0.122047.6978639901647.1661355312207
0.132061.7645579143446.5287677997315
0.142075.0143500675347.4101538955944
0.152087.9006869244649.0222830619981
0.162100.7030647904850.8433208666356
0.172113.5654581316952.6508383224931
0.182126.5508104630254.4279746759626
0.192139.6874930250856.2516309745048
0.22152.9977927240358.2089186053084
0.212166.5089640526660.3312014830909
0.222180.2525354782962.6112323109268
0.232194.2583158030564.9980030659078
0.242208.5477866144467.4227781515769
0.252223.1291070543969.8128948093764
0.262237.9940112735372.095692856307
0.272253.1159384051574.1762453833969
0.282268.4487118890875.9552508530019
0.292283.9255805314477.3222138612531
0.32299.4590013674178.1542906771859
0.312314.9418674457578.3307418224736
0.322330.2508407914577.7660448083552
0.332345.2520920388576.398692643586
0.342359.8092237393874.2301526388624
0.352373.7926376525871.3155306030483
0.362387.0892377544567.7598599384602
0.372399.6112195450363.722157895114
0.382411.3027974344359.39551057951
0.392422.1440277836554.9933505040637
0.42432.151323038150.7220601567756
0.412441.374733550246.7712496678503
0.422449.8925100488143.2997308020456
0.432457.8037784434840.4103520891109
0.442465.2203137585738.1730400595075
0.452472.2583795216236.5861986495677
0.462479.0314260306335.6183832581281
0.472485.6441677242135.1894688693282
0.482492.1882548217335.2130018109548
0.492498.7394856732435.5863156353417
0.52505.3563254882536.2101373864659
0.512512.0794277626336.9817726368386
0.522518.9318884474337.8107295901139
0.532525.9200648171338.6057647221678
0.542533.0349120801339.2839023070126
0.552540.2538835178139.7774681335786
0.562547.5434722850240.0240367648879
0.572554.8624364273539.9966526709722
0.582562.1656581383139.6744589735807
0.592569.4084746607539.073588976022
0.62576.5512162014138.2378530191593
0.612583.563622165537.2254830879232
0.622590.4287914270136.116254171174
0.632597.146349406235.0203139853968
0.642603.734569051434.0372912932511
0.652610.2312504066933.2732814167786
0.662616.6932415158632.8419555499425
0.672623.1945836452732.8262091841016
0.682629.8234053193233.2955977177634
0.692636.6778826725634.2751803584829
0.72643.8618103700935.7715497134256
0.712651.4805314207737.7417111879688
0.722659.6380696968840.1331239635214
0.732668.4362145392942.8869137248322
0.742677.9759971611145.9591596172515
0.752688.3615516754149.3367084848013
0.762699.7059648347553.0444026861242
0.772712.1386592015857.1364241095722
0.782725.8143734452761.699064967511
0.792740.9249967302766.8276259345878
0.82757.7171939574572.6588271416687
0.812776.5203371434279.4069309379356
0.822797.789634013487.4187781790542
0.832822.1668130860397.2787891509627
0.842850.55310123569109.864696483204
0.852884.17466628993126.329432173602
0.862924.59978990697147.899753499244
0.872973.64624333155175.359614741274
0.883033.11189980259208.256605434257
0.893104.29359031811244.051916797001
0.93187.34537728319277.671120109739
0.913280.65670678288301.997454382541
0.923380.54364144937309.635921252469
0.933481.54198501903295.679987859971
0.943577.38834059869260.337070799084
0.953662.41089892473209.736092110419
0.963732.73720335307153.79587642575
0.973786.74594157874101.824561965988
0.983824.6381554271959.0140392795846
0.993847.6200887744727.8139319144023


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')