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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Aug 2015 18:32:58 +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/2015/Aug/16/t143974645223uiq7w72hdkgz7.htm/, Retrieved Sun, 19 May 2024 15:56:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280186, Retrieved Sun, 19 May 2024 15:56:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [] [2014-11-24 12:14:04] [46d78fa4bef23992fc20db72a2a0da97]
- RMPD    [Harrell-Davis Quantiles] [] [2015-08-16 17:32:58] [fced41568b3cc41e6659ad201d611503] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95320.00
94965.00
94605.00
93860.00
101230.00
100840.00
95320.00
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55565.00
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55565.00
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29065.00
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50440.00

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280186&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280186&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0133473.68722229255668.38534263002
0.0238316.95706006263734.16698884063
0.0341542.41585672933250.16746094864
0.0443965.90626752093795.26538335821
0.0546221.500416514159.82284059141
0.0648343.14912635633918.67070013184
0.0750178.36806852093319.0950711864
0.0851663.88736369312745.62944616193
0.0952861.12618538962417.62687539595
0.153888.70104120582376.76757569328
0.1154861.76353280012573.62593354389
0.1255864.52125193252921.37139382792
0.1356943.28967123433318.83397189992
0.1458108.23222426033670.70750083186
0.1559340.50184333013907.95320278038
0.1660603.90738358544002.46801845312
0.1761858.47707604293967.87171568061
0.1863072.04361462083848.38525039623
0.1964226.8961657783699.98209984262
0.265320.77001169173572.79604685463
0.2166363.49315707463499.51461913388
0.2267371.59003313533490.9284349617
0.2368362.99969158863541.20249058904
0.2469353.25413691513634.57947338633
0.2570353.51987952943752.5444206569
0.2671370.19846050133879.3837057274
0.2772405.44909525494002.0555206901
0.2873458.00647883774110.90932878556
0.2974523.89403502664196.89819886939
0.375596.92639839694252.23337433478
0.3176669.12642504074269.32751378158
0.3277731.27586582294243.45142291766
0.3378773.76263461094173.75882826318
0.3479787.7257923384065.25142194706
0.3580766.31246081643928.92831107281
0.3681705.73442949113780.41928370307
0.3782605.80345054183637.06066260921
0.3883469.73949100873513.8501859574
0.3984303.24101018723420.0145328314
0.485113.00843763533356.48878044868
0.4185905.05470073113315.87093186142
0.4286683.183362813284.82161796683
0.4387447.96482046213246.16110123698
0.4488196.41813914363183.46758822507
0.4588922.44458899863084.11379207433
0.4689617.89390488652941.9997071151
0.4790274.00958621922757.69495113984
0.4890882.9258621642538.65175389996
0.4991438.89687535982297.52715889422
0.591939.02839936492048.81777853936
0.5192383.42802878351806.36568514421
0.5292774.84489609881581.31308796549
0.5393117.98498715251380.92219639668
0.5493418.73052957581208.27111965589
0.5593683.45877279251064.06531671447
0.5693918.5717620177947.045843419689
0.5794130.2533947957855.697295193272
0.5894324.3978922562788.653928959008
0.5994506.6222316945745.174180773621
0.694682.2814208703723.965932590699
0.6194856.4341215125723.89083793374
0.6295033.7399130321742.705201369467
0.6395218.2985947514777.30175049889
0.6495413.4651963557823.765001168743
0.6595621.6934179749877.552367537572
0.6695844.4716192691934.051205772679
0.6796082.4083150066989.312509374073
0.6896335.48700376951040.82872090043
0.6996603.44400062971088.53122649175
0.796886.14970654831133.95447397067
0.7197183.83101588541179.5109498039
0.7297496.99354411531226.94907489609
0.7397825.99290759251274.9249912701
0.7498170.33421855781319.12719834311
0.7598527.89645225811351.64081496848
0.7698894.33845757521363.82752652144
0.7799262.92903973061346.89330576572
0.7899624.96336997191295.2356141469
0.7999970.79764530791207.91322413915
0.8100291.3657431811089.86562458764
0.81100579.859384706951.663324383144
0.82100833.117177741808.344426339
0.83101052.268682465675.887662774356
0.84101242.379178249567.710424337179
0.85101411.193073927491.118585297409
0.86101567.408847844445.962011155772
0.87101719.044508669425.760458791166
0.88101872.326544239421.374747474439
0.89102031.336253871424.009165629445
0.9102198.606653605427.7404145407
0.91102376.948947184431.989921991749
0.92102572.752484471444.889145409452
0.93102801.246024603484.418497578877
0.94103095.962543902579.340203638347
0.95103524.685428914787.365511667715
0.96104196.7608882221177.89319285313
0.97105211.9753928091635.00680610835
0.98106543.8877309361728.49255654557
0.99107976.2514450251407.50001121079

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 33473.6872222925 & 5668.38534263002 \tabularnewline
0.02 & 38316.9570600626 & 3734.16698884063 \tabularnewline
0.03 & 41542.4158567293 & 3250.16746094864 \tabularnewline
0.04 & 43965.9062675209 & 3795.26538335821 \tabularnewline
0.05 & 46221.50041651 & 4159.82284059141 \tabularnewline
0.06 & 48343.1491263563 & 3918.67070013184 \tabularnewline
0.07 & 50178.3680685209 & 3319.0950711864 \tabularnewline
0.08 & 51663.8873636931 & 2745.62944616193 \tabularnewline
0.09 & 52861.1261853896 & 2417.62687539595 \tabularnewline
0.1 & 53888.7010412058 & 2376.76757569328 \tabularnewline
0.11 & 54861.7635328001 & 2573.62593354389 \tabularnewline
0.12 & 55864.5212519325 & 2921.37139382792 \tabularnewline
0.13 & 56943.2896712343 & 3318.83397189992 \tabularnewline
0.14 & 58108.2322242603 & 3670.70750083186 \tabularnewline
0.15 & 59340.5018433301 & 3907.95320278038 \tabularnewline
0.16 & 60603.9073835854 & 4002.46801845312 \tabularnewline
0.17 & 61858.4770760429 & 3967.87171568061 \tabularnewline
0.18 & 63072.0436146208 & 3848.38525039623 \tabularnewline
0.19 & 64226.896165778 & 3699.98209984262 \tabularnewline
0.2 & 65320.7700116917 & 3572.79604685463 \tabularnewline
0.21 & 66363.4931570746 & 3499.51461913388 \tabularnewline
0.22 & 67371.5900331353 & 3490.9284349617 \tabularnewline
0.23 & 68362.9996915886 & 3541.20249058904 \tabularnewline
0.24 & 69353.2541369151 & 3634.57947338633 \tabularnewline
0.25 & 70353.5198795294 & 3752.5444206569 \tabularnewline
0.26 & 71370.1984605013 & 3879.3837057274 \tabularnewline
0.27 & 72405.4490952549 & 4002.0555206901 \tabularnewline
0.28 & 73458.0064788377 & 4110.90932878556 \tabularnewline
0.29 & 74523.8940350266 & 4196.89819886939 \tabularnewline
0.3 & 75596.9263983969 & 4252.23337433478 \tabularnewline
0.31 & 76669.1264250407 & 4269.32751378158 \tabularnewline
0.32 & 77731.2758658229 & 4243.45142291766 \tabularnewline
0.33 & 78773.7626346109 & 4173.75882826318 \tabularnewline
0.34 & 79787.725792338 & 4065.25142194706 \tabularnewline
0.35 & 80766.3124608164 & 3928.92831107281 \tabularnewline
0.36 & 81705.7344294911 & 3780.41928370307 \tabularnewline
0.37 & 82605.8034505418 & 3637.06066260921 \tabularnewline
0.38 & 83469.7394910087 & 3513.8501859574 \tabularnewline
0.39 & 84303.2410101872 & 3420.0145328314 \tabularnewline
0.4 & 85113.0084376353 & 3356.48878044868 \tabularnewline
0.41 & 85905.0547007311 & 3315.87093186142 \tabularnewline
0.42 & 86683.18336281 & 3284.82161796683 \tabularnewline
0.43 & 87447.9648204621 & 3246.16110123698 \tabularnewline
0.44 & 88196.4181391436 & 3183.46758822507 \tabularnewline
0.45 & 88922.4445889986 & 3084.11379207433 \tabularnewline
0.46 & 89617.8939048865 & 2941.9997071151 \tabularnewline
0.47 & 90274.0095862192 & 2757.69495113984 \tabularnewline
0.48 & 90882.925862164 & 2538.65175389996 \tabularnewline
0.49 & 91438.8968753598 & 2297.52715889422 \tabularnewline
0.5 & 91939.0283993649 & 2048.81777853936 \tabularnewline
0.51 & 92383.4280287835 & 1806.36568514421 \tabularnewline
0.52 & 92774.8448960988 & 1581.31308796549 \tabularnewline
0.53 & 93117.9849871525 & 1380.92219639668 \tabularnewline
0.54 & 93418.7305295758 & 1208.27111965589 \tabularnewline
0.55 & 93683.4587727925 & 1064.06531671447 \tabularnewline
0.56 & 93918.5717620177 & 947.045843419689 \tabularnewline
0.57 & 94130.2533947957 & 855.697295193272 \tabularnewline
0.58 & 94324.3978922562 & 788.653928959008 \tabularnewline
0.59 & 94506.6222316945 & 745.174180773621 \tabularnewline
0.6 & 94682.2814208703 & 723.965932590699 \tabularnewline
0.61 & 94856.4341215125 & 723.89083793374 \tabularnewline
0.62 & 95033.7399130321 & 742.705201369467 \tabularnewline
0.63 & 95218.2985947514 & 777.30175049889 \tabularnewline
0.64 & 95413.4651963557 & 823.765001168743 \tabularnewline
0.65 & 95621.6934179749 & 877.552367537572 \tabularnewline
0.66 & 95844.4716192691 & 934.051205772679 \tabularnewline
0.67 & 96082.4083150066 & 989.312509374073 \tabularnewline
0.68 & 96335.4870037695 & 1040.82872090043 \tabularnewline
0.69 & 96603.4440006297 & 1088.53122649175 \tabularnewline
0.7 & 96886.1497065483 & 1133.95447397067 \tabularnewline
0.71 & 97183.8310158854 & 1179.5109498039 \tabularnewline
0.72 & 97496.9935441153 & 1226.94907489609 \tabularnewline
0.73 & 97825.9929075925 & 1274.9249912701 \tabularnewline
0.74 & 98170.3342185578 & 1319.12719834311 \tabularnewline
0.75 & 98527.8964522581 & 1351.64081496848 \tabularnewline
0.76 & 98894.3384575752 & 1363.82752652144 \tabularnewline
0.77 & 99262.9290397306 & 1346.89330576572 \tabularnewline
0.78 & 99624.9633699719 & 1295.2356141469 \tabularnewline
0.79 & 99970.7976453079 & 1207.91322413915 \tabularnewline
0.8 & 100291.365743181 & 1089.86562458764 \tabularnewline
0.81 & 100579.859384706 & 951.663324383144 \tabularnewline
0.82 & 100833.117177741 & 808.344426339 \tabularnewline
0.83 & 101052.268682465 & 675.887662774356 \tabularnewline
0.84 & 101242.379178249 & 567.710424337179 \tabularnewline
0.85 & 101411.193073927 & 491.118585297409 \tabularnewline
0.86 & 101567.408847844 & 445.962011155772 \tabularnewline
0.87 & 101719.044508669 & 425.760458791166 \tabularnewline
0.88 & 101872.326544239 & 421.374747474439 \tabularnewline
0.89 & 102031.336253871 & 424.009165629445 \tabularnewline
0.9 & 102198.606653605 & 427.7404145407 \tabularnewline
0.91 & 102376.948947184 & 431.989921991749 \tabularnewline
0.92 & 102572.752484471 & 444.889145409452 \tabularnewline
0.93 & 102801.246024603 & 484.418497578877 \tabularnewline
0.94 & 103095.962543902 & 579.340203638347 \tabularnewline
0.95 & 103524.685428914 & 787.365511667715 \tabularnewline
0.96 & 104196.760888222 & 1177.89319285313 \tabularnewline
0.97 & 105211.975392809 & 1635.00680610835 \tabularnewline
0.98 & 106543.887730936 & 1728.49255654557 \tabularnewline
0.99 & 107976.251445025 & 1407.50001121079 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280186&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]33473.6872222925[/C][C]5668.38534263002[/C][/ROW]
[ROW][C]0.02[/C][C]38316.9570600626[/C][C]3734.16698884063[/C][/ROW]
[ROW][C]0.03[/C][C]41542.4158567293[/C][C]3250.16746094864[/C][/ROW]
[ROW][C]0.04[/C][C]43965.9062675209[/C][C]3795.26538335821[/C][/ROW]
[ROW][C]0.05[/C][C]46221.50041651[/C][C]4159.82284059141[/C][/ROW]
[ROW][C]0.06[/C][C]48343.1491263563[/C][C]3918.67070013184[/C][/ROW]
[ROW][C]0.07[/C][C]50178.3680685209[/C][C]3319.0950711864[/C][/ROW]
[ROW][C]0.08[/C][C]51663.8873636931[/C][C]2745.62944616193[/C][/ROW]
[ROW][C]0.09[/C][C]52861.1261853896[/C][C]2417.62687539595[/C][/ROW]
[ROW][C]0.1[/C][C]53888.7010412058[/C][C]2376.76757569328[/C][/ROW]
[ROW][C]0.11[/C][C]54861.7635328001[/C][C]2573.62593354389[/C][/ROW]
[ROW][C]0.12[/C][C]55864.5212519325[/C][C]2921.37139382792[/C][/ROW]
[ROW][C]0.13[/C][C]56943.2896712343[/C][C]3318.83397189992[/C][/ROW]
[ROW][C]0.14[/C][C]58108.2322242603[/C][C]3670.70750083186[/C][/ROW]
[ROW][C]0.15[/C][C]59340.5018433301[/C][C]3907.95320278038[/C][/ROW]
[ROW][C]0.16[/C][C]60603.9073835854[/C][C]4002.46801845312[/C][/ROW]
[ROW][C]0.17[/C][C]61858.4770760429[/C][C]3967.87171568061[/C][/ROW]
[ROW][C]0.18[/C][C]63072.0436146208[/C][C]3848.38525039623[/C][/ROW]
[ROW][C]0.19[/C][C]64226.896165778[/C][C]3699.98209984262[/C][/ROW]
[ROW][C]0.2[/C][C]65320.7700116917[/C][C]3572.79604685463[/C][/ROW]
[ROW][C]0.21[/C][C]66363.4931570746[/C][C]3499.51461913388[/C][/ROW]
[ROW][C]0.22[/C][C]67371.5900331353[/C][C]3490.9284349617[/C][/ROW]
[ROW][C]0.23[/C][C]68362.9996915886[/C][C]3541.20249058904[/C][/ROW]
[ROW][C]0.24[/C][C]69353.2541369151[/C][C]3634.57947338633[/C][/ROW]
[ROW][C]0.25[/C][C]70353.5198795294[/C][C]3752.5444206569[/C][/ROW]
[ROW][C]0.26[/C][C]71370.1984605013[/C][C]3879.3837057274[/C][/ROW]
[ROW][C]0.27[/C][C]72405.4490952549[/C][C]4002.0555206901[/C][/ROW]
[ROW][C]0.28[/C][C]73458.0064788377[/C][C]4110.90932878556[/C][/ROW]
[ROW][C]0.29[/C][C]74523.8940350266[/C][C]4196.89819886939[/C][/ROW]
[ROW][C]0.3[/C][C]75596.9263983969[/C][C]4252.23337433478[/C][/ROW]
[ROW][C]0.31[/C][C]76669.1264250407[/C][C]4269.32751378158[/C][/ROW]
[ROW][C]0.32[/C][C]77731.2758658229[/C][C]4243.45142291766[/C][/ROW]
[ROW][C]0.33[/C][C]78773.7626346109[/C][C]4173.75882826318[/C][/ROW]
[ROW][C]0.34[/C][C]79787.725792338[/C][C]4065.25142194706[/C][/ROW]
[ROW][C]0.35[/C][C]80766.3124608164[/C][C]3928.92831107281[/C][/ROW]
[ROW][C]0.36[/C][C]81705.7344294911[/C][C]3780.41928370307[/C][/ROW]
[ROW][C]0.37[/C][C]82605.8034505418[/C][C]3637.06066260921[/C][/ROW]
[ROW][C]0.38[/C][C]83469.7394910087[/C][C]3513.8501859574[/C][/ROW]
[ROW][C]0.39[/C][C]84303.2410101872[/C][C]3420.0145328314[/C][/ROW]
[ROW][C]0.4[/C][C]85113.0084376353[/C][C]3356.48878044868[/C][/ROW]
[ROW][C]0.41[/C][C]85905.0547007311[/C][C]3315.87093186142[/C][/ROW]
[ROW][C]0.42[/C][C]86683.18336281[/C][C]3284.82161796683[/C][/ROW]
[ROW][C]0.43[/C][C]87447.9648204621[/C][C]3246.16110123698[/C][/ROW]
[ROW][C]0.44[/C][C]88196.4181391436[/C][C]3183.46758822507[/C][/ROW]
[ROW][C]0.45[/C][C]88922.4445889986[/C][C]3084.11379207433[/C][/ROW]
[ROW][C]0.46[/C][C]89617.8939048865[/C][C]2941.9997071151[/C][/ROW]
[ROW][C]0.47[/C][C]90274.0095862192[/C][C]2757.69495113984[/C][/ROW]
[ROW][C]0.48[/C][C]90882.925862164[/C][C]2538.65175389996[/C][/ROW]
[ROW][C]0.49[/C][C]91438.8968753598[/C][C]2297.52715889422[/C][/ROW]
[ROW][C]0.5[/C][C]91939.0283993649[/C][C]2048.81777853936[/C][/ROW]
[ROW][C]0.51[/C][C]92383.4280287835[/C][C]1806.36568514421[/C][/ROW]
[ROW][C]0.52[/C][C]92774.8448960988[/C][C]1581.31308796549[/C][/ROW]
[ROW][C]0.53[/C][C]93117.9849871525[/C][C]1380.92219639668[/C][/ROW]
[ROW][C]0.54[/C][C]93418.7305295758[/C][C]1208.27111965589[/C][/ROW]
[ROW][C]0.55[/C][C]93683.4587727925[/C][C]1064.06531671447[/C][/ROW]
[ROW][C]0.56[/C][C]93918.5717620177[/C][C]947.045843419689[/C][/ROW]
[ROW][C]0.57[/C][C]94130.2533947957[/C][C]855.697295193272[/C][/ROW]
[ROW][C]0.58[/C][C]94324.3978922562[/C][C]788.653928959008[/C][/ROW]
[ROW][C]0.59[/C][C]94506.6222316945[/C][C]745.174180773621[/C][/ROW]
[ROW][C]0.6[/C][C]94682.2814208703[/C][C]723.965932590699[/C][/ROW]
[ROW][C]0.61[/C][C]94856.4341215125[/C][C]723.89083793374[/C][/ROW]
[ROW][C]0.62[/C][C]95033.7399130321[/C][C]742.705201369467[/C][/ROW]
[ROW][C]0.63[/C][C]95218.2985947514[/C][C]777.30175049889[/C][/ROW]
[ROW][C]0.64[/C][C]95413.4651963557[/C][C]823.765001168743[/C][/ROW]
[ROW][C]0.65[/C][C]95621.6934179749[/C][C]877.552367537572[/C][/ROW]
[ROW][C]0.66[/C][C]95844.4716192691[/C][C]934.051205772679[/C][/ROW]
[ROW][C]0.67[/C][C]96082.4083150066[/C][C]989.312509374073[/C][/ROW]
[ROW][C]0.68[/C][C]96335.4870037695[/C][C]1040.82872090043[/C][/ROW]
[ROW][C]0.69[/C][C]96603.4440006297[/C][C]1088.53122649175[/C][/ROW]
[ROW][C]0.7[/C][C]96886.1497065483[/C][C]1133.95447397067[/C][/ROW]
[ROW][C]0.71[/C][C]97183.8310158854[/C][C]1179.5109498039[/C][/ROW]
[ROW][C]0.72[/C][C]97496.9935441153[/C][C]1226.94907489609[/C][/ROW]
[ROW][C]0.73[/C][C]97825.9929075925[/C][C]1274.9249912701[/C][/ROW]
[ROW][C]0.74[/C][C]98170.3342185578[/C][C]1319.12719834311[/C][/ROW]
[ROW][C]0.75[/C][C]98527.8964522581[/C][C]1351.64081496848[/C][/ROW]
[ROW][C]0.76[/C][C]98894.3384575752[/C][C]1363.82752652144[/C][/ROW]
[ROW][C]0.77[/C][C]99262.9290397306[/C][C]1346.89330576572[/C][/ROW]
[ROW][C]0.78[/C][C]99624.9633699719[/C][C]1295.2356141469[/C][/ROW]
[ROW][C]0.79[/C][C]99970.7976453079[/C][C]1207.91322413915[/C][/ROW]
[ROW][C]0.8[/C][C]100291.365743181[/C][C]1089.86562458764[/C][/ROW]
[ROW][C]0.81[/C][C]100579.859384706[/C][C]951.663324383144[/C][/ROW]
[ROW][C]0.82[/C][C]100833.117177741[/C][C]808.344426339[/C][/ROW]
[ROW][C]0.83[/C][C]101052.268682465[/C][C]675.887662774356[/C][/ROW]
[ROW][C]0.84[/C][C]101242.379178249[/C][C]567.710424337179[/C][/ROW]
[ROW][C]0.85[/C][C]101411.193073927[/C][C]491.118585297409[/C][/ROW]
[ROW][C]0.86[/C][C]101567.408847844[/C][C]445.962011155772[/C][/ROW]
[ROW][C]0.87[/C][C]101719.044508669[/C][C]425.760458791166[/C][/ROW]
[ROW][C]0.88[/C][C]101872.326544239[/C][C]421.374747474439[/C][/ROW]
[ROW][C]0.89[/C][C]102031.336253871[/C][C]424.009165629445[/C][/ROW]
[ROW][C]0.9[/C][C]102198.606653605[/C][C]427.7404145407[/C][/ROW]
[ROW][C]0.91[/C][C]102376.948947184[/C][C]431.989921991749[/C][/ROW]
[ROW][C]0.92[/C][C]102572.752484471[/C][C]444.889145409452[/C][/ROW]
[ROW][C]0.93[/C][C]102801.246024603[/C][C]484.418497578877[/C][/ROW]
[ROW][C]0.94[/C][C]103095.962543902[/C][C]579.340203638347[/C][/ROW]
[ROW][C]0.95[/C][C]103524.685428914[/C][C]787.365511667715[/C][/ROW]
[ROW][C]0.96[/C][C]104196.760888222[/C][C]1177.89319285313[/C][/ROW]
[ROW][C]0.97[/C][C]105211.975392809[/C][C]1635.00680610835[/C][/ROW]
[ROW][C]0.98[/C][C]106543.887730936[/C][C]1728.49255654557[/C][/ROW]
[ROW][C]0.99[/C][C]107976.251445025[/C][C]1407.50001121079[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280186&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
0.0133473.68722229255668.38534263002
0.0238316.95706006263734.16698884063
0.0341542.41585672933250.16746094864
0.0443965.90626752093795.26538335821
0.0546221.500416514159.82284059141
0.0648343.14912635633918.67070013184
0.0750178.36806852093319.0950711864
0.0851663.88736369312745.62944616193
0.0952861.12618538962417.62687539595
0.153888.70104120582376.76757569328
0.1154861.76353280012573.62593354389
0.1255864.52125193252921.37139382792
0.1356943.28967123433318.83397189992
0.1458108.23222426033670.70750083186
0.1559340.50184333013907.95320278038
0.1660603.90738358544002.46801845312
0.1761858.47707604293967.87171568061
0.1863072.04361462083848.38525039623
0.1964226.8961657783699.98209984262
0.265320.77001169173572.79604685463
0.2166363.49315707463499.51461913388
0.2267371.59003313533490.9284349617
0.2368362.99969158863541.20249058904
0.2469353.25413691513634.57947338633
0.2570353.51987952943752.5444206569
0.2671370.19846050133879.3837057274
0.2772405.44909525494002.0555206901
0.2873458.00647883774110.90932878556
0.2974523.89403502664196.89819886939
0.375596.92639839694252.23337433478
0.3176669.12642504074269.32751378158
0.3277731.27586582294243.45142291766
0.3378773.76263461094173.75882826318
0.3479787.7257923384065.25142194706
0.3580766.31246081643928.92831107281
0.3681705.73442949113780.41928370307
0.3782605.80345054183637.06066260921
0.3883469.73949100873513.8501859574
0.3984303.24101018723420.0145328314
0.485113.00843763533356.48878044868
0.4185905.05470073113315.87093186142
0.4286683.183362813284.82161796683
0.4387447.96482046213246.16110123698
0.4488196.41813914363183.46758822507
0.4588922.44458899863084.11379207433
0.4689617.89390488652941.9997071151
0.4790274.00958621922757.69495113984
0.4890882.9258621642538.65175389996
0.4991438.89687535982297.52715889422
0.591939.02839936492048.81777853936
0.5192383.42802878351806.36568514421
0.5292774.84489609881581.31308796549
0.5393117.98498715251380.92219639668
0.5493418.73052957581208.27111965589
0.5593683.45877279251064.06531671447
0.5693918.5717620177947.045843419689
0.5794130.2533947957855.697295193272
0.5894324.3978922562788.653928959008
0.5994506.6222316945745.174180773621
0.694682.2814208703723.965932590699
0.6194856.4341215125723.89083793374
0.6295033.7399130321742.705201369467
0.6395218.2985947514777.30175049889
0.6495413.4651963557823.765001168743
0.6595621.6934179749877.552367537572
0.6695844.4716192691934.051205772679
0.6796082.4083150066989.312509374073
0.6896335.48700376951040.82872090043
0.6996603.44400062971088.53122649175
0.796886.14970654831133.95447397067
0.7197183.83101588541179.5109498039
0.7297496.99354411531226.94907489609
0.7397825.99290759251274.9249912701
0.7498170.33421855781319.12719834311
0.7598527.89645225811351.64081496848
0.7698894.33845757521363.82752652144
0.7799262.92903973061346.89330576572
0.7899624.96336997191295.2356141469
0.7999970.79764530791207.91322413915
0.8100291.3657431811089.86562458764
0.81100579.859384706951.663324383144
0.82100833.117177741808.344426339
0.83101052.268682465675.887662774356
0.84101242.379178249567.710424337179
0.85101411.193073927491.118585297409
0.86101567.408847844445.962011155772
0.87101719.044508669425.760458791166
0.88101872.326544239421.374747474439
0.89102031.336253871424.009165629445
0.9102198.606653605427.7404145407
0.91102376.948947184431.989921991749
0.92102572.752484471444.889145409452
0.93102801.246024603484.418497578877
0.94103095.962543902579.340203638347
0.95103524.685428914787.365511667715
0.96104196.7608882221177.89319285313
0.97105211.9753928091635.00680610835
0.98106543.8877309361728.49255654557
0.99107976.2514450251407.50001121079


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')