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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 04:03:22 -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/2010/Mar/10/t1268219430k6he9zjch40ohvt.htm/, Retrieved Thu, 01 Dec 2022 16:01:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74256, Retrieved Thu, 01 Dec 2022 16:01:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-10 11:03:22] [917a4afc20628654d1f716afbd7d9cc1] [Current]
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Dataseries X:
2953
2635
2404
2413
2136
1565
1451
2037
2477
2785
2994
2681
3098
2708
2517
2445
2087
1801
1216
2173
2286
3121
3458
3511
3524
2767
2744
2603
2527
1846
1066
2327
3066
3048
3806
4042
3583
3438
2957
2885
2744
1837
1447
2504
3248
3098
4318
3561
3316
3379
2717
2354
2445
1542
1606
2590
3588
3202
4704
4005
3810
3488
2781
2944
2817
1960
1937
2903
3357
3552
4581
3905
4581
4037
3345
3175
2808
2050
1719
3143
3756
4776
4540
4309
4563
3506
3665
3361
3094
2440
1633
2935
4159
4159
4894
4921
4577
4155
3851
3429
3370
2726




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74256&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]2 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=74256&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74256&T=0

As an alternative you can also use a 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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011157.16686436015161.405752392304
0.021287.56412317874155.737862845627
0.031398.90860009747125.873747423910
0.041480.48099316687104.636295148328
0.051542.61500352367101.435590172283
0.061596.31077423839108.825669614852
0.071647.84218796823119.738433358027
0.081699.56312305222129.645431473896
0.091751.67493435102136.476910571326
0.11803.55987735567140.388376264231
0.111854.59338151075142.732104849482
0.121904.49770765481144.873366495131
0.131953.34816117672147.570438474607
0.142001.40215898943150.926523237867
0.152048.89977503632154.510926349308
0.162095.91330969647157.498442534753
0.172142.27016074444158.862585818652
0.182187.55353407382157.669668344797
0.192231.17710593001153.417378510887
0.22272.51513106873146.233994279004
0.212311.05183616585136.888564563103
0.222346.50603858644126.608221400173
0.232378.89575777661116.777126699746
0.242408.52901377381108.612825184955
0.252435.9305531300102.915967758729
0.262461.7305413943299.901839718483
0.272486.546412132599.2393988869275
0.282510.88455701261100.200655445605
0.292535.07864345385101.881355945019
0.32559.27034735433103.428138728957
0.312583.42900601996104.173378110321
0.322607.40030800175103.752733044147
0.332630.97074620443102.095716072775
0.342653.9338410662599.4209333427015
0.352676.1456880127796.1811759309154
0.362697.5607568360392.9417092364479
0.372718.2434826948690.2718058917092
0.382738.356236509488.6171759412542
0.392758.1288010707188.2444914474546
0.42777.8176178419889.1414250714176
0.412797.6642100711491.0984364440587
0.422817.8612022743193.7541106616868
0.432838.5316374423996.6955513763102
0.442859.723657552999.554847135514
0.452881.41906940891102.047251006785
0.462903.55176461079104.024490300013
0.472926.03090150329105.455351652603
0.482948.76413893087106.404025993434
0.492971.67749407593107.011897971619
0.52994.72981519325107.470759220922
0.513017.92080528645107.979209343715
0.523041.29185053196108.752658117464
0.533064.91895605793109.953506289210
0.543088.89750557045111.664055912328
0.553113.31982695790113.829613964639
0.563138.24862029882116.251576202973
0.573163.69149980520118.578442809131
0.583189.58313690055120.387614956475
0.593215.78082098857121.259951552894
0.63242.07641046047120.896043454428
0.613268.22331936209119.170381293502
0.623293.97285333318116.170505129897
0.633319.11155734213112.191442382533
0.643343.49141113715107.628174769575
0.653367.04773964847102.934277851421
0.663389.80441340598.5361769982027
0.673411.8703411586994.7731495526336
0.683433.4334818374591.9364265291964
0.693454.7575800149690.2902390485776
0.73476.1828989862090.1284476734356
0.713498.1270773039791.7700982949956
0.723521.0783123934995.5220489743816
0.733545.57261322660101.528836942245
0.743572.15086201457109.67087240949
0.753601.2989416055119.488830724323
0.763633.38235719525130.235287501001
0.773668.59182783998140.967631784978
0.783706.91540040175150.768383271434
0.793748.14574005346158.885172688072
0.83791.92185691766164.847712741688
0.813837.79792436629168.513963131360
0.823885.33136053979170.041104540009
0.833934.18560310503169.909041090023
0.843984.24139948805168.939588547660
0.854035.69419872510168.305886767013
0.864089.08353764944169.321590606676
0.874145.17155098006172.854207234221
0.884204.60105946958178.391330091597
0.894267.36127831895183.344880228335
0.94332.27462305947183.421373389176
0.914396.90645351365174.472128259301
0.924458.30617875059155.277099434525
0.934514.61992292427129.866226491796
0.944566.88514737815107.675961217695
0.954619.6521688455799.2877950335045
0.964679.16620640793105.714434308514
0.974748.93635255995113.996990786523
0.984824.12166870408105.516463544555
0.994888.4298539096967.0940958058066

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1157.16686436015 & 161.405752392304 \tabularnewline
0.02 & 1287.56412317874 & 155.737862845627 \tabularnewline
0.03 & 1398.90860009747 & 125.873747423910 \tabularnewline
0.04 & 1480.48099316687 & 104.636295148328 \tabularnewline
0.05 & 1542.61500352367 & 101.435590172283 \tabularnewline
0.06 & 1596.31077423839 & 108.825669614852 \tabularnewline
0.07 & 1647.84218796823 & 119.738433358027 \tabularnewline
0.08 & 1699.56312305222 & 129.645431473896 \tabularnewline
0.09 & 1751.67493435102 & 136.476910571326 \tabularnewline
0.1 & 1803.55987735567 & 140.388376264231 \tabularnewline
0.11 & 1854.59338151075 & 142.732104849482 \tabularnewline
0.12 & 1904.49770765481 & 144.873366495131 \tabularnewline
0.13 & 1953.34816117672 & 147.570438474607 \tabularnewline
0.14 & 2001.40215898943 & 150.926523237867 \tabularnewline
0.15 & 2048.89977503632 & 154.510926349308 \tabularnewline
0.16 & 2095.91330969647 & 157.498442534753 \tabularnewline
0.17 & 2142.27016074444 & 158.862585818652 \tabularnewline
0.18 & 2187.55353407382 & 157.669668344797 \tabularnewline
0.19 & 2231.17710593001 & 153.417378510887 \tabularnewline
0.2 & 2272.51513106873 & 146.233994279004 \tabularnewline
0.21 & 2311.05183616585 & 136.888564563103 \tabularnewline
0.22 & 2346.50603858644 & 126.608221400173 \tabularnewline
0.23 & 2378.89575777661 & 116.777126699746 \tabularnewline
0.24 & 2408.52901377381 & 108.612825184955 \tabularnewline
0.25 & 2435.9305531300 & 102.915967758729 \tabularnewline
0.26 & 2461.73054139432 & 99.901839718483 \tabularnewline
0.27 & 2486.5464121325 & 99.2393988869275 \tabularnewline
0.28 & 2510.88455701261 & 100.200655445605 \tabularnewline
0.29 & 2535.07864345385 & 101.881355945019 \tabularnewline
0.3 & 2559.27034735433 & 103.428138728957 \tabularnewline
0.31 & 2583.42900601996 & 104.173378110321 \tabularnewline
0.32 & 2607.40030800175 & 103.752733044147 \tabularnewline
0.33 & 2630.97074620443 & 102.095716072775 \tabularnewline
0.34 & 2653.93384106625 & 99.4209333427015 \tabularnewline
0.35 & 2676.14568801277 & 96.1811759309154 \tabularnewline
0.36 & 2697.56075683603 & 92.9417092364479 \tabularnewline
0.37 & 2718.24348269486 & 90.2718058917092 \tabularnewline
0.38 & 2738.3562365094 & 88.6171759412542 \tabularnewline
0.39 & 2758.12880107071 & 88.2444914474546 \tabularnewline
0.4 & 2777.81761784198 & 89.1414250714176 \tabularnewline
0.41 & 2797.66421007114 & 91.0984364440587 \tabularnewline
0.42 & 2817.86120227431 & 93.7541106616868 \tabularnewline
0.43 & 2838.53163744239 & 96.6955513763102 \tabularnewline
0.44 & 2859.7236575529 & 99.554847135514 \tabularnewline
0.45 & 2881.41906940891 & 102.047251006785 \tabularnewline
0.46 & 2903.55176461079 & 104.024490300013 \tabularnewline
0.47 & 2926.03090150329 & 105.455351652603 \tabularnewline
0.48 & 2948.76413893087 & 106.404025993434 \tabularnewline
0.49 & 2971.67749407593 & 107.011897971619 \tabularnewline
0.5 & 2994.72981519325 & 107.470759220922 \tabularnewline
0.51 & 3017.92080528645 & 107.979209343715 \tabularnewline
0.52 & 3041.29185053196 & 108.752658117464 \tabularnewline
0.53 & 3064.91895605793 & 109.953506289210 \tabularnewline
0.54 & 3088.89750557045 & 111.664055912328 \tabularnewline
0.55 & 3113.31982695790 & 113.829613964639 \tabularnewline
0.56 & 3138.24862029882 & 116.251576202973 \tabularnewline
0.57 & 3163.69149980520 & 118.578442809131 \tabularnewline
0.58 & 3189.58313690055 & 120.387614956475 \tabularnewline
0.59 & 3215.78082098857 & 121.259951552894 \tabularnewline
0.6 & 3242.07641046047 & 120.896043454428 \tabularnewline
0.61 & 3268.22331936209 & 119.170381293502 \tabularnewline
0.62 & 3293.97285333318 & 116.170505129897 \tabularnewline
0.63 & 3319.11155734213 & 112.191442382533 \tabularnewline
0.64 & 3343.49141113715 & 107.628174769575 \tabularnewline
0.65 & 3367.04773964847 & 102.934277851421 \tabularnewline
0.66 & 3389.804413405 & 98.5361769982027 \tabularnewline
0.67 & 3411.87034115869 & 94.7731495526336 \tabularnewline
0.68 & 3433.43348183745 & 91.9364265291964 \tabularnewline
0.69 & 3454.75758001496 & 90.2902390485776 \tabularnewline
0.7 & 3476.18289898620 & 90.1284476734356 \tabularnewline
0.71 & 3498.12707730397 & 91.7700982949956 \tabularnewline
0.72 & 3521.07831239349 & 95.5220489743816 \tabularnewline
0.73 & 3545.57261322660 & 101.528836942245 \tabularnewline
0.74 & 3572.15086201457 & 109.67087240949 \tabularnewline
0.75 & 3601.2989416055 & 119.488830724323 \tabularnewline
0.76 & 3633.38235719525 & 130.235287501001 \tabularnewline
0.77 & 3668.59182783998 & 140.967631784978 \tabularnewline
0.78 & 3706.91540040175 & 150.768383271434 \tabularnewline
0.79 & 3748.14574005346 & 158.885172688072 \tabularnewline
0.8 & 3791.92185691766 & 164.847712741688 \tabularnewline
0.81 & 3837.79792436629 & 168.513963131360 \tabularnewline
0.82 & 3885.33136053979 & 170.041104540009 \tabularnewline
0.83 & 3934.18560310503 & 169.909041090023 \tabularnewline
0.84 & 3984.24139948805 & 168.939588547660 \tabularnewline
0.85 & 4035.69419872510 & 168.305886767013 \tabularnewline
0.86 & 4089.08353764944 & 169.321590606676 \tabularnewline
0.87 & 4145.17155098006 & 172.854207234221 \tabularnewline
0.88 & 4204.60105946958 & 178.391330091597 \tabularnewline
0.89 & 4267.36127831895 & 183.344880228335 \tabularnewline
0.9 & 4332.27462305947 & 183.421373389176 \tabularnewline
0.91 & 4396.90645351365 & 174.472128259301 \tabularnewline
0.92 & 4458.30617875059 & 155.277099434525 \tabularnewline
0.93 & 4514.61992292427 & 129.866226491796 \tabularnewline
0.94 & 4566.88514737815 & 107.675961217695 \tabularnewline
0.95 & 4619.65216884557 & 99.2877950335045 \tabularnewline
0.96 & 4679.16620640793 & 105.714434308514 \tabularnewline
0.97 & 4748.93635255995 & 113.996990786523 \tabularnewline
0.98 & 4824.12166870408 & 105.516463544555 \tabularnewline
0.99 & 4888.42985390969 & 67.0940958058066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74256&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]1157.16686436015[/C][C]161.405752392304[/C][/ROW]
[ROW][C]0.02[/C][C]1287.56412317874[/C][C]155.737862845627[/C][/ROW]
[ROW][C]0.03[/C][C]1398.90860009747[/C][C]125.873747423910[/C][/ROW]
[ROW][C]0.04[/C][C]1480.48099316687[/C][C]104.636295148328[/C][/ROW]
[ROW][C]0.05[/C][C]1542.61500352367[/C][C]101.435590172283[/C][/ROW]
[ROW][C]0.06[/C][C]1596.31077423839[/C][C]108.825669614852[/C][/ROW]
[ROW][C]0.07[/C][C]1647.84218796823[/C][C]119.738433358027[/C][/ROW]
[ROW][C]0.08[/C][C]1699.56312305222[/C][C]129.645431473896[/C][/ROW]
[ROW][C]0.09[/C][C]1751.67493435102[/C][C]136.476910571326[/C][/ROW]
[ROW][C]0.1[/C][C]1803.55987735567[/C][C]140.388376264231[/C][/ROW]
[ROW][C]0.11[/C][C]1854.59338151075[/C][C]142.732104849482[/C][/ROW]
[ROW][C]0.12[/C][C]1904.49770765481[/C][C]144.873366495131[/C][/ROW]
[ROW][C]0.13[/C][C]1953.34816117672[/C][C]147.570438474607[/C][/ROW]
[ROW][C]0.14[/C][C]2001.40215898943[/C][C]150.926523237867[/C][/ROW]
[ROW][C]0.15[/C][C]2048.89977503632[/C][C]154.510926349308[/C][/ROW]
[ROW][C]0.16[/C][C]2095.91330969647[/C][C]157.498442534753[/C][/ROW]
[ROW][C]0.17[/C][C]2142.27016074444[/C][C]158.862585818652[/C][/ROW]
[ROW][C]0.18[/C][C]2187.55353407382[/C][C]157.669668344797[/C][/ROW]
[ROW][C]0.19[/C][C]2231.17710593001[/C][C]153.417378510887[/C][/ROW]
[ROW][C]0.2[/C][C]2272.51513106873[/C][C]146.233994279004[/C][/ROW]
[ROW][C]0.21[/C][C]2311.05183616585[/C][C]136.888564563103[/C][/ROW]
[ROW][C]0.22[/C][C]2346.50603858644[/C][C]126.608221400173[/C][/ROW]
[ROW][C]0.23[/C][C]2378.89575777661[/C][C]116.777126699746[/C][/ROW]
[ROW][C]0.24[/C][C]2408.52901377381[/C][C]108.612825184955[/C][/ROW]
[ROW][C]0.25[/C][C]2435.9305531300[/C][C]102.915967758729[/C][/ROW]
[ROW][C]0.26[/C][C]2461.73054139432[/C][C]99.901839718483[/C][/ROW]
[ROW][C]0.27[/C][C]2486.5464121325[/C][C]99.2393988869275[/C][/ROW]
[ROW][C]0.28[/C][C]2510.88455701261[/C][C]100.200655445605[/C][/ROW]
[ROW][C]0.29[/C][C]2535.07864345385[/C][C]101.881355945019[/C][/ROW]
[ROW][C]0.3[/C][C]2559.27034735433[/C][C]103.428138728957[/C][/ROW]
[ROW][C]0.31[/C][C]2583.42900601996[/C][C]104.173378110321[/C][/ROW]
[ROW][C]0.32[/C][C]2607.40030800175[/C][C]103.752733044147[/C][/ROW]
[ROW][C]0.33[/C][C]2630.97074620443[/C][C]102.095716072775[/C][/ROW]
[ROW][C]0.34[/C][C]2653.93384106625[/C][C]99.4209333427015[/C][/ROW]
[ROW][C]0.35[/C][C]2676.14568801277[/C][C]96.1811759309154[/C][/ROW]
[ROW][C]0.36[/C][C]2697.56075683603[/C][C]92.9417092364479[/C][/ROW]
[ROW][C]0.37[/C][C]2718.24348269486[/C][C]90.2718058917092[/C][/ROW]
[ROW][C]0.38[/C][C]2738.3562365094[/C][C]88.6171759412542[/C][/ROW]
[ROW][C]0.39[/C][C]2758.12880107071[/C][C]88.2444914474546[/C][/ROW]
[ROW][C]0.4[/C][C]2777.81761784198[/C][C]89.1414250714176[/C][/ROW]
[ROW][C]0.41[/C][C]2797.66421007114[/C][C]91.0984364440587[/C][/ROW]
[ROW][C]0.42[/C][C]2817.86120227431[/C][C]93.7541106616868[/C][/ROW]
[ROW][C]0.43[/C][C]2838.53163744239[/C][C]96.6955513763102[/C][/ROW]
[ROW][C]0.44[/C][C]2859.7236575529[/C][C]99.554847135514[/C][/ROW]
[ROW][C]0.45[/C][C]2881.41906940891[/C][C]102.047251006785[/C][/ROW]
[ROW][C]0.46[/C][C]2903.55176461079[/C][C]104.024490300013[/C][/ROW]
[ROW][C]0.47[/C][C]2926.03090150329[/C][C]105.455351652603[/C][/ROW]
[ROW][C]0.48[/C][C]2948.76413893087[/C][C]106.404025993434[/C][/ROW]
[ROW][C]0.49[/C][C]2971.67749407593[/C][C]107.011897971619[/C][/ROW]
[ROW][C]0.5[/C][C]2994.72981519325[/C][C]107.470759220922[/C][/ROW]
[ROW][C]0.51[/C][C]3017.92080528645[/C][C]107.979209343715[/C][/ROW]
[ROW][C]0.52[/C][C]3041.29185053196[/C][C]108.752658117464[/C][/ROW]
[ROW][C]0.53[/C][C]3064.91895605793[/C][C]109.953506289210[/C][/ROW]
[ROW][C]0.54[/C][C]3088.89750557045[/C][C]111.664055912328[/C][/ROW]
[ROW][C]0.55[/C][C]3113.31982695790[/C][C]113.829613964639[/C][/ROW]
[ROW][C]0.56[/C][C]3138.24862029882[/C][C]116.251576202973[/C][/ROW]
[ROW][C]0.57[/C][C]3163.69149980520[/C][C]118.578442809131[/C][/ROW]
[ROW][C]0.58[/C][C]3189.58313690055[/C][C]120.387614956475[/C][/ROW]
[ROW][C]0.59[/C][C]3215.78082098857[/C][C]121.259951552894[/C][/ROW]
[ROW][C]0.6[/C][C]3242.07641046047[/C][C]120.896043454428[/C][/ROW]
[ROW][C]0.61[/C][C]3268.22331936209[/C][C]119.170381293502[/C][/ROW]
[ROW][C]0.62[/C][C]3293.97285333318[/C][C]116.170505129897[/C][/ROW]
[ROW][C]0.63[/C][C]3319.11155734213[/C][C]112.191442382533[/C][/ROW]
[ROW][C]0.64[/C][C]3343.49141113715[/C][C]107.628174769575[/C][/ROW]
[ROW][C]0.65[/C][C]3367.04773964847[/C][C]102.934277851421[/C][/ROW]
[ROW][C]0.66[/C][C]3389.804413405[/C][C]98.5361769982027[/C][/ROW]
[ROW][C]0.67[/C][C]3411.87034115869[/C][C]94.7731495526336[/C][/ROW]
[ROW][C]0.68[/C][C]3433.43348183745[/C][C]91.9364265291964[/C][/ROW]
[ROW][C]0.69[/C][C]3454.75758001496[/C][C]90.2902390485776[/C][/ROW]
[ROW][C]0.7[/C][C]3476.18289898620[/C][C]90.1284476734356[/C][/ROW]
[ROW][C]0.71[/C][C]3498.12707730397[/C][C]91.7700982949956[/C][/ROW]
[ROW][C]0.72[/C][C]3521.07831239349[/C][C]95.5220489743816[/C][/ROW]
[ROW][C]0.73[/C][C]3545.57261322660[/C][C]101.528836942245[/C][/ROW]
[ROW][C]0.74[/C][C]3572.15086201457[/C][C]109.67087240949[/C][/ROW]
[ROW][C]0.75[/C][C]3601.2989416055[/C][C]119.488830724323[/C][/ROW]
[ROW][C]0.76[/C][C]3633.38235719525[/C][C]130.235287501001[/C][/ROW]
[ROW][C]0.77[/C][C]3668.59182783998[/C][C]140.967631784978[/C][/ROW]
[ROW][C]0.78[/C][C]3706.91540040175[/C][C]150.768383271434[/C][/ROW]
[ROW][C]0.79[/C][C]3748.14574005346[/C][C]158.885172688072[/C][/ROW]
[ROW][C]0.8[/C][C]3791.92185691766[/C][C]164.847712741688[/C][/ROW]
[ROW][C]0.81[/C][C]3837.79792436629[/C][C]168.513963131360[/C][/ROW]
[ROW][C]0.82[/C][C]3885.33136053979[/C][C]170.041104540009[/C][/ROW]
[ROW][C]0.83[/C][C]3934.18560310503[/C][C]169.909041090023[/C][/ROW]
[ROW][C]0.84[/C][C]3984.24139948805[/C][C]168.939588547660[/C][/ROW]
[ROW][C]0.85[/C][C]4035.69419872510[/C][C]168.305886767013[/C][/ROW]
[ROW][C]0.86[/C][C]4089.08353764944[/C][C]169.321590606676[/C][/ROW]
[ROW][C]0.87[/C][C]4145.17155098006[/C][C]172.854207234221[/C][/ROW]
[ROW][C]0.88[/C][C]4204.60105946958[/C][C]178.391330091597[/C][/ROW]
[ROW][C]0.89[/C][C]4267.36127831895[/C][C]183.344880228335[/C][/ROW]
[ROW][C]0.9[/C][C]4332.27462305947[/C][C]183.421373389176[/C][/ROW]
[ROW][C]0.91[/C][C]4396.90645351365[/C][C]174.472128259301[/C][/ROW]
[ROW][C]0.92[/C][C]4458.30617875059[/C][C]155.277099434525[/C][/ROW]
[ROW][C]0.93[/C][C]4514.61992292427[/C][C]129.866226491796[/C][/ROW]
[ROW][C]0.94[/C][C]4566.88514737815[/C][C]107.675961217695[/C][/ROW]
[ROW][C]0.95[/C][C]4619.65216884557[/C][C]99.2877950335045[/C][/ROW]
[ROW][C]0.96[/C][C]4679.16620640793[/C][C]105.714434308514[/C][/ROW]
[ROW][C]0.97[/C][C]4748.93635255995[/C][C]113.996990786523[/C][/ROW]
[ROW][C]0.98[/C][C]4824.12166870408[/C][C]105.516463544555[/C][/ROW]
[ROW][C]0.99[/C][C]4888.42985390969[/C][C]67.0940958058066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74256&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74256&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011157.16686436015161.405752392304
0.021287.56412317874155.737862845627
0.031398.90860009747125.873747423910
0.041480.48099316687104.636295148328
0.051542.61500352367101.435590172283
0.061596.31077423839108.825669614852
0.071647.84218796823119.738433358027
0.081699.56312305222129.645431473896
0.091751.67493435102136.476910571326
0.11803.55987735567140.388376264231
0.111854.59338151075142.732104849482
0.121904.49770765481144.873366495131
0.131953.34816117672147.570438474607
0.142001.40215898943150.926523237867
0.152048.89977503632154.510926349308
0.162095.91330969647157.498442534753
0.172142.27016074444158.862585818652
0.182187.55353407382157.669668344797
0.192231.17710593001153.417378510887
0.22272.51513106873146.233994279004
0.212311.05183616585136.888564563103
0.222346.50603858644126.608221400173
0.232378.89575777661116.777126699746
0.242408.52901377381108.612825184955
0.252435.9305531300102.915967758729
0.262461.7305413943299.901839718483
0.272486.546412132599.2393988869275
0.282510.88455701261100.200655445605
0.292535.07864345385101.881355945019
0.32559.27034735433103.428138728957
0.312583.42900601996104.173378110321
0.322607.40030800175103.752733044147
0.332630.97074620443102.095716072775
0.342653.9338410662599.4209333427015
0.352676.1456880127796.1811759309154
0.362697.5607568360392.9417092364479
0.372718.2434826948690.2718058917092
0.382738.356236509488.6171759412542
0.392758.1288010707188.2444914474546
0.42777.8176178419889.1414250714176
0.412797.6642100711491.0984364440587
0.422817.8612022743193.7541106616868
0.432838.5316374423996.6955513763102
0.442859.723657552999.554847135514
0.452881.41906940891102.047251006785
0.462903.55176461079104.024490300013
0.472926.03090150329105.455351652603
0.482948.76413893087106.404025993434
0.492971.67749407593107.011897971619
0.52994.72981519325107.470759220922
0.513017.92080528645107.979209343715
0.523041.29185053196108.752658117464
0.533064.91895605793109.953506289210
0.543088.89750557045111.664055912328
0.553113.31982695790113.829613964639
0.563138.24862029882116.251576202973
0.573163.69149980520118.578442809131
0.583189.58313690055120.387614956475
0.593215.78082098857121.259951552894
0.63242.07641046047120.896043454428
0.613268.22331936209119.170381293502
0.623293.97285333318116.170505129897
0.633319.11155734213112.191442382533
0.643343.49141113715107.628174769575
0.653367.04773964847102.934277851421
0.663389.80441340598.5361769982027
0.673411.8703411586994.7731495526336
0.683433.4334818374591.9364265291964
0.693454.7575800149690.2902390485776
0.73476.1828989862090.1284476734356
0.713498.1270773039791.7700982949956
0.723521.0783123934995.5220489743816
0.733545.57261322660101.528836942245
0.743572.15086201457109.67087240949
0.753601.2989416055119.488830724323
0.763633.38235719525130.235287501001
0.773668.59182783998140.967631784978
0.783706.91540040175150.768383271434
0.793748.14574005346158.885172688072
0.83791.92185691766164.847712741688
0.813837.79792436629168.513963131360
0.823885.33136053979170.041104540009
0.833934.18560310503169.909041090023
0.843984.24139948805168.939588547660
0.854035.69419872510168.305886767013
0.864089.08353764944169.321590606676
0.874145.17155098006172.854207234221
0.884204.60105946958178.391330091597
0.894267.36127831895183.344880228335
0.94332.27462305947183.421373389176
0.914396.90645351365174.472128259301
0.924458.30617875059155.277099434525
0.934514.61992292427129.866226491796
0.944566.88514737815107.675961217695
0.954619.6521688455799.2877950335045
0.964679.16620640793105.714434308514
0.974748.93635255995113.996990786523
0.984824.12166870408105.516463544555
0.994888.4298539096967.0940958058066



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')