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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 04:20:53 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t12251029185assibfnbvgr2lq.htm/, Retrieved Sun, 19 May 2024 16:29:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19184, Retrieved Sun, 19 May 2024 16:29:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Beurskoers Eurone...] [2008-10-13 22:20:32] [82970caad4b026be9dd352fdec547fe4]
-   PD  [Univariate Data Series] [Beurskoers Eurone...] [2008-10-20 20:09:06] [82970caad4b026be9dd352fdec547fe4]
F RMP     [Univariate Explorative Data Analysis] [Investigating Dis...] [2008-10-27 09:27:49] [82970caad4b026be9dd352fdec547fe4]
F RMP         [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-27 10:20:53] [c33ddd06d9ea3933c8ac89c0e74c9b3a] [Current]
Feedback Forum
2008-10-30 15:20:49 [Gregory Van Overmeiren] [reply] 
Dit kon je ook doen door weer je R-code te veranderen in x<-x-3444,10433333333.
2008-11-03 10:11:59 [Karen Van den Broeck] [reply] 
In taak 1 had je dit ook al correct gedaan, dus hier is het ook goed.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2120.88
2174.56
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19184&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19184&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012135.9770283037553.1774377928592
0.0152147.7367783119156.3334325810753
0.022161.6757066152162.1198695354871
0.0252177.3164784420769.8621271648431
0.032194.2379313159578.3298036903036
0.0352212.0729900836186.268346082777
0.042230.4903190628192.6975219004896
0.0452249.1778541822197.0046010060234
0.052267.8366046242598.9402088181936
0.0552286.1853392848298.5739583071044
0.062303.9724064851396.201219887623
0.0652320.9896583357892.2808132512581
0.072337.0842015154087.3457600099204
0.0752352.1653558833081.9455441092211
0.082366.2059376878376.6049842199856
0.0852379.2383284512371.7941543905036
0.092391.3465852794567.9079978256538
0.0952402.6561344646265.2646933588286
0.12413.3225052141264.0824676134979
0.1052423.5202625649964.4840268558263
0.112433.4329238117266.4861117844426
0.1152443.2442862301870.0218299337135
0.122453.1313088137274.957704104066
0.1252463.2584962791681.1279507825927
0.132473.7736254950288.3438270675352
0.1352484.8046154608296.4115437462828
0.142496.45734996265105.129219891883
0.1452508.81429578563114.294530453628
0.152521.93380158054123.697178363290
0.1552535.85000107152133.130812350077
0.162550.57327232817142.39200261276
0.1652566.09121973151151.282903338823
0.172582.37014766629159.619308780006
0.1752599.35698752156167.238847769105
0.182616.98162590144173.994561873213
0.1852635.15956581753179.765582506819
0.192653.79483741521184.467091930495
0.1952672.783063079188.036355125151
0.22692.01457526387190.442434338748
0.2052711.37748489562191.679728419429
0.212730.76060365836191.781273407129
0.2152750.05613427998190.792631913602
0.222769.16205792668188.788227204772
0.2252787.98416565374185.860711236266
0.232806.43770007804182.114122983145
0.2352824.44859264539177.662618683857
0.242841.95429984454172.624880146579
0.2452858.90425749939167.130876416078
0.252875.25998516691161.297093918306
0.2552890.99488229352155.240682430118
0.262906.09376402352149.081146583807
0.2652920.55218754088142.920821524400
0.272934.37561988084136.857639006137
0.2752947.57849573083130.979332444301
0.282960.18320939406125.36607573463
0.2852972.2190793882120.081585358877
0.292983.72131765785115.188960751755
0.2952994.73002860716110.737944715181
0.33005.28925654687106.772354905171
0.3053015.44609404886103.322454262010
0.313025.24985836308100.419145191737
0.3153034.751338632898.081298083853
0.323044.0021132129696.3218980622018
0.3253053.0539339423995.1420840459462
0.333061.9581726728494.5468338382616
0.3353070.7653245987294.5214963817162
0.343079.5245628137895.0498201822787
0.3453088.2833388856896.1162892530747
0.353097.0870249253697.6894082548107
0.3553105.9785934874999.7377757754569
0.363114.9983325432102.223545843572
0.3653124.18359361446105.108850117375
0.373133.56857187773108.351016334318
0.3753143.18411759024111.908530125630
0.383153.05757854717115.736418905427
0.3853163.21267345181119.791690849422
0.393173.66939609628124.02466436816
0.3953184.44395014789128.392963751784
0.43195.54871415834132.852358815657
0.4053206.99223620557137.358918503295
0.413218.77925738141.865091788620
0.4153230.91076317084146.334285324568
0.423243.38406171195150.717894885628
0.4253256.19288781883154.986280315306
0.433269.3275317815159.091299879863
0.4353282.77499195651163.002726603429
0.443296.51915029810166.681671151549
0.4453310.54097005474170.098330778952
0.453324.81871489965173.217019044322
0.4553339.32818873464176.01405926502
0.463354.04299528276178.462743061991
0.4653368.93481635397180.541373746223
0.473383.97370732785182.233059533664
0.4753399.12840795868183.519167280318
0.483414.36666609461184.391408330788
0.4853429.65557134658184.843406298945
0.493444.96189518620184.872153447140
0.4953460.25243344116184.4773134819
0.53475.49434673812183.667546170987
0.5053490.65549416182182.448366746778
0.513505.70475528993180.840013990517
0.5153520.61233585416178.859942082682
0.523535.35005258092176.530159877131
0.5253549.89159327756173.873934211913
0.533564.2127489357170.917227241434
0.5353578.29161548822167.689345444425
0.543592.10876383579164.236674175668
0.5453605.64737779546160.575674972727
0.553618.89336065487156.750672883184
0.5553631.83541197541152.793022547125
0.563644.46507711023148.738356445532
0.5653656.77677253265144.625751630573
0.573668.76779045596140.481975045724
0.5753680.43828633616136.344743440563
0.583691.79125266428132.245133658513
0.5853702.83248197789128.217136485573
0.593713.57052127161124.291272331524
0.5953724.01661900390120.496968022546
0.63734.18466473962116.859181287304
0.6053744.09112020761113.416151270076
0.613753.75493927532110.188997473218
0.6153763.19747314054107.206572559129
0.623772.44235601161104.498043412084
0.6253781.51536578533102.087555230745
0.633790.44425382488100.002734098483
0.6353799.2585379626398.2667230222194
0.643807.9892533618496.8990667455032
0.6453816.6686568999295.9212659370137
0.653825.3298822908295.3418979641768
0.6553834.0065452187895.1719867210587
0.663842.7323002527795.4174217725371
0.6653851.5403541558396.0650460451553
0.673860.4629432712697.1022570122234
0.6753869.5307858012998.5095045711603
0.683878.77252281249100.254612678285
0.6853888.21416450988102.296417853738
0.693897.8785605138104.586613826228
0.6953907.78491435419107.079104731871
0.73917.94836298806109.712419240710
0.7053928.37964170571112.422347073857
0.713939.08485322441115.146172415890
0.7153950.06535704153117.822630566756
0.723961.31779126917120.392357156070
0.7253972.83423431144122.792499291621
0.733984.60250806231124.974279068636
0.7353996.60661805569126.886075679938
0.744008.82731950776128.494424391314
0.7454021.24279181505129.771728235289
0.754033.82939818905130.694452536767
0.7554046.56250209252131.262094615047
0.764059.41730833563131.477863425306
0.7654072.36969437372131.353598427475
0.774085.39699672742130.915165843576
0.7754098.47871862722130.193573137866
0.784111.59712797338129.228185113934
0.7854124.73771939615128.071018918707
0.794137.88952040233126.765588492119
0.7954151.04522901719125.360334591046
0.84164.20117862131123.904163521806
0.8054177.35713443325122.438720309960
0.814190.51593485803120.999957884816
0.8154203.68299923637119.616472896118
0.824216.86573090257118.313320925835
0.8254230.07285038593117.097662438053
0.834243.31369756464115.972884250084
0.8354256.59754310697114.930262072848
0.844269.93294816636113.954208943959
0.8454283.32720669812113.019467253239
0.854296.78589679535112.102679401073
0.8554310.31255627343111.167747673758
0.864323.90848397969110.187583508784
0.8654337.57265314736109.130348771717
0.874351.30170838631107.968620751337
0.8754365.0900061111106.682689593788
0.884378.92965242707105.256113878323
0.8854392.81049613280103.677153458633
0.894406.72005086259101.943960129803
0.8954420.64335209426100.046592312508
0.94434.5628028673597.982076694313
0.9054448.4581250986595.7415595416673
0.914462.3066059039793.305250333706
0.9154476.0838991851790.6558417372697
0.924489.7656927889187.7586945910622
0.9254503.3305510401684.5890688506835
0.934516.7641486935481.1287123721522
0.9354530.0648695145977.3785172050802
0.944543.2502876900473.3788820334074
0.9454556.3633306470169.2161515375659
0.954569.4759339963365.0524537653744
0.9554582.6868531262861.1233515650518
0.964596.1093042109357.7592617245356
0.9654609.8438761035655.3658115801335
0.974623.9336149064854.3654965653944
0.9754638.3024578001255.078500459478
0.984652.6861573030757.5551957183953
0.9854666.5762612518461.4751416306733
0.994679.210035528966.1654088271386

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2135.97702830375 & 53.1774377928592 \tabularnewline
0.015 & 2147.73677831191 & 56.3334325810753 \tabularnewline
0.02 & 2161.67570661521 & 62.1198695354871 \tabularnewline
0.025 & 2177.31647844207 & 69.8621271648431 \tabularnewline
0.03 & 2194.23793131595 & 78.3298036903036 \tabularnewline
0.035 & 2212.07299008361 & 86.268346082777 \tabularnewline
0.04 & 2230.49031906281 & 92.6975219004896 \tabularnewline
0.045 & 2249.17785418221 & 97.0046010060234 \tabularnewline
0.05 & 2267.83660462425 & 98.9402088181936 \tabularnewline
0.055 & 2286.18533928482 & 98.5739583071044 \tabularnewline
0.06 & 2303.97240648513 & 96.201219887623 \tabularnewline
0.065 & 2320.98965833578 & 92.2808132512581 \tabularnewline
0.07 & 2337.08420151540 & 87.3457600099204 \tabularnewline
0.075 & 2352.16535588330 & 81.9455441092211 \tabularnewline
0.08 & 2366.20593768783 & 76.6049842199856 \tabularnewline
0.085 & 2379.23832845123 & 71.7941543905036 \tabularnewline
0.09 & 2391.34658527945 & 67.9079978256538 \tabularnewline
0.095 & 2402.65613446462 & 65.2646933588286 \tabularnewline
0.1 & 2413.32250521412 & 64.0824676134979 \tabularnewline
0.105 & 2423.52026256499 & 64.4840268558263 \tabularnewline
0.11 & 2433.43292381172 & 66.4861117844426 \tabularnewline
0.115 & 2443.24428623018 & 70.0218299337135 \tabularnewline
0.12 & 2453.13130881372 & 74.957704104066 \tabularnewline
0.125 & 2463.25849627916 & 81.1279507825927 \tabularnewline
0.13 & 2473.77362549502 & 88.3438270675352 \tabularnewline
0.135 & 2484.80461546082 & 96.4115437462828 \tabularnewline
0.14 & 2496.45734996265 & 105.129219891883 \tabularnewline
0.145 & 2508.81429578563 & 114.294530453628 \tabularnewline
0.15 & 2521.93380158054 & 123.697178363290 \tabularnewline
0.155 & 2535.85000107152 & 133.130812350077 \tabularnewline
0.16 & 2550.57327232817 & 142.39200261276 \tabularnewline
0.165 & 2566.09121973151 & 151.282903338823 \tabularnewline
0.17 & 2582.37014766629 & 159.619308780006 \tabularnewline
0.175 & 2599.35698752156 & 167.238847769105 \tabularnewline
0.18 & 2616.98162590144 & 173.994561873213 \tabularnewline
0.185 & 2635.15956581753 & 179.765582506819 \tabularnewline
0.19 & 2653.79483741521 & 184.467091930495 \tabularnewline
0.195 & 2672.783063079 & 188.036355125151 \tabularnewline
0.2 & 2692.01457526387 & 190.442434338748 \tabularnewline
0.205 & 2711.37748489562 & 191.679728419429 \tabularnewline
0.21 & 2730.76060365836 & 191.781273407129 \tabularnewline
0.215 & 2750.05613427998 & 190.792631913602 \tabularnewline
0.22 & 2769.16205792668 & 188.788227204772 \tabularnewline
0.225 & 2787.98416565374 & 185.860711236266 \tabularnewline
0.23 & 2806.43770007804 & 182.114122983145 \tabularnewline
0.235 & 2824.44859264539 & 177.662618683857 \tabularnewline
0.24 & 2841.95429984454 & 172.624880146579 \tabularnewline
0.245 & 2858.90425749939 & 167.130876416078 \tabularnewline
0.25 & 2875.25998516691 & 161.297093918306 \tabularnewline
0.255 & 2890.99488229352 & 155.240682430118 \tabularnewline
0.26 & 2906.09376402352 & 149.081146583807 \tabularnewline
0.265 & 2920.55218754088 & 142.920821524400 \tabularnewline
0.27 & 2934.37561988084 & 136.857639006137 \tabularnewline
0.275 & 2947.57849573083 & 130.979332444301 \tabularnewline
0.28 & 2960.18320939406 & 125.36607573463 \tabularnewline
0.285 & 2972.2190793882 & 120.081585358877 \tabularnewline
0.29 & 2983.72131765785 & 115.188960751755 \tabularnewline
0.295 & 2994.73002860716 & 110.737944715181 \tabularnewline
0.3 & 3005.28925654687 & 106.772354905171 \tabularnewline
0.305 & 3015.44609404886 & 103.322454262010 \tabularnewline
0.31 & 3025.24985836308 & 100.419145191737 \tabularnewline
0.315 & 3034.7513386328 & 98.081298083853 \tabularnewline
0.32 & 3044.00211321296 & 96.3218980622018 \tabularnewline
0.325 & 3053.05393394239 & 95.1420840459462 \tabularnewline
0.33 & 3061.95817267284 & 94.5468338382616 \tabularnewline
0.335 & 3070.76532459872 & 94.5214963817162 \tabularnewline
0.34 & 3079.52456281378 & 95.0498201822787 \tabularnewline
0.345 & 3088.28333888568 & 96.1162892530747 \tabularnewline
0.35 & 3097.08702492536 & 97.6894082548107 \tabularnewline
0.355 & 3105.97859348749 & 99.7377757754569 \tabularnewline
0.36 & 3114.9983325432 & 102.223545843572 \tabularnewline
0.365 & 3124.18359361446 & 105.108850117375 \tabularnewline
0.37 & 3133.56857187773 & 108.351016334318 \tabularnewline
0.375 & 3143.18411759024 & 111.908530125630 \tabularnewline
0.38 & 3153.05757854717 & 115.736418905427 \tabularnewline
0.385 & 3163.21267345181 & 119.791690849422 \tabularnewline
0.39 & 3173.66939609628 & 124.02466436816 \tabularnewline
0.395 & 3184.44395014789 & 128.392963751784 \tabularnewline
0.4 & 3195.54871415834 & 132.852358815657 \tabularnewline
0.405 & 3206.99223620557 & 137.358918503295 \tabularnewline
0.41 & 3218.77925738 & 141.865091788620 \tabularnewline
0.415 & 3230.91076317084 & 146.334285324568 \tabularnewline
0.42 & 3243.38406171195 & 150.717894885628 \tabularnewline
0.425 & 3256.19288781883 & 154.986280315306 \tabularnewline
0.43 & 3269.3275317815 & 159.091299879863 \tabularnewline
0.435 & 3282.77499195651 & 163.002726603429 \tabularnewline
0.44 & 3296.51915029810 & 166.681671151549 \tabularnewline
0.445 & 3310.54097005474 & 170.098330778952 \tabularnewline
0.45 & 3324.81871489965 & 173.217019044322 \tabularnewline
0.455 & 3339.32818873464 & 176.01405926502 \tabularnewline
0.46 & 3354.04299528276 & 178.462743061991 \tabularnewline
0.465 & 3368.93481635397 & 180.541373746223 \tabularnewline
0.47 & 3383.97370732785 & 182.233059533664 \tabularnewline
0.475 & 3399.12840795868 & 183.519167280318 \tabularnewline
0.48 & 3414.36666609461 & 184.391408330788 \tabularnewline
0.485 & 3429.65557134658 & 184.843406298945 \tabularnewline
0.49 & 3444.96189518620 & 184.872153447140 \tabularnewline
0.495 & 3460.25243344116 & 184.4773134819 \tabularnewline
0.5 & 3475.49434673812 & 183.667546170987 \tabularnewline
0.505 & 3490.65549416182 & 182.448366746778 \tabularnewline
0.51 & 3505.70475528993 & 180.840013990517 \tabularnewline
0.515 & 3520.61233585416 & 178.859942082682 \tabularnewline
0.52 & 3535.35005258092 & 176.530159877131 \tabularnewline
0.525 & 3549.89159327756 & 173.873934211913 \tabularnewline
0.53 & 3564.2127489357 & 170.917227241434 \tabularnewline
0.535 & 3578.29161548822 & 167.689345444425 \tabularnewline
0.54 & 3592.10876383579 & 164.236674175668 \tabularnewline
0.545 & 3605.64737779546 & 160.575674972727 \tabularnewline
0.55 & 3618.89336065487 & 156.750672883184 \tabularnewline
0.555 & 3631.83541197541 & 152.793022547125 \tabularnewline
0.56 & 3644.46507711023 & 148.738356445532 \tabularnewline
0.565 & 3656.77677253265 & 144.625751630573 \tabularnewline
0.57 & 3668.76779045596 & 140.481975045724 \tabularnewline
0.575 & 3680.43828633616 & 136.344743440563 \tabularnewline
0.58 & 3691.79125266428 & 132.245133658513 \tabularnewline
0.585 & 3702.83248197789 & 128.217136485573 \tabularnewline
0.59 & 3713.57052127161 & 124.291272331524 \tabularnewline
0.595 & 3724.01661900390 & 120.496968022546 \tabularnewline
0.6 & 3734.18466473962 & 116.859181287304 \tabularnewline
0.605 & 3744.09112020761 & 113.416151270076 \tabularnewline
0.61 & 3753.75493927532 & 110.188997473218 \tabularnewline
0.615 & 3763.19747314054 & 107.206572559129 \tabularnewline
0.62 & 3772.44235601161 & 104.498043412084 \tabularnewline
0.625 & 3781.51536578533 & 102.087555230745 \tabularnewline
0.63 & 3790.44425382488 & 100.002734098483 \tabularnewline
0.635 & 3799.25853796263 & 98.2667230222194 \tabularnewline
0.64 & 3807.98925336184 & 96.8990667455032 \tabularnewline
0.645 & 3816.66865689992 & 95.9212659370137 \tabularnewline
0.65 & 3825.32988229082 & 95.3418979641768 \tabularnewline
0.655 & 3834.00654521878 & 95.1719867210587 \tabularnewline
0.66 & 3842.73230025277 & 95.4174217725371 \tabularnewline
0.665 & 3851.54035415583 & 96.0650460451553 \tabularnewline
0.67 & 3860.46294327126 & 97.1022570122234 \tabularnewline
0.675 & 3869.53078580129 & 98.5095045711603 \tabularnewline
0.68 & 3878.77252281249 & 100.254612678285 \tabularnewline
0.685 & 3888.21416450988 & 102.296417853738 \tabularnewline
0.69 & 3897.8785605138 & 104.586613826228 \tabularnewline
0.695 & 3907.78491435419 & 107.079104731871 \tabularnewline
0.7 & 3917.94836298806 & 109.712419240710 \tabularnewline
0.705 & 3928.37964170571 & 112.422347073857 \tabularnewline
0.71 & 3939.08485322441 & 115.146172415890 \tabularnewline
0.715 & 3950.06535704153 & 117.822630566756 \tabularnewline
0.72 & 3961.31779126917 & 120.392357156070 \tabularnewline
0.725 & 3972.83423431144 & 122.792499291621 \tabularnewline
0.73 & 3984.60250806231 & 124.974279068636 \tabularnewline
0.735 & 3996.60661805569 & 126.886075679938 \tabularnewline
0.74 & 4008.82731950776 & 128.494424391314 \tabularnewline
0.745 & 4021.24279181505 & 129.771728235289 \tabularnewline
0.75 & 4033.82939818905 & 130.694452536767 \tabularnewline
0.755 & 4046.56250209252 & 131.262094615047 \tabularnewline
0.76 & 4059.41730833563 & 131.477863425306 \tabularnewline
0.765 & 4072.36969437372 & 131.353598427475 \tabularnewline
0.77 & 4085.39699672742 & 130.915165843576 \tabularnewline
0.775 & 4098.47871862722 & 130.193573137866 \tabularnewline
0.78 & 4111.59712797338 & 129.228185113934 \tabularnewline
0.785 & 4124.73771939615 & 128.071018918707 \tabularnewline
0.79 & 4137.88952040233 & 126.765588492119 \tabularnewline
0.795 & 4151.04522901719 & 125.360334591046 \tabularnewline
0.8 & 4164.20117862131 & 123.904163521806 \tabularnewline
0.805 & 4177.35713443325 & 122.438720309960 \tabularnewline
0.81 & 4190.51593485803 & 120.999957884816 \tabularnewline
0.815 & 4203.68299923637 & 119.616472896118 \tabularnewline
0.82 & 4216.86573090257 & 118.313320925835 \tabularnewline
0.825 & 4230.07285038593 & 117.097662438053 \tabularnewline
0.83 & 4243.31369756464 & 115.972884250084 \tabularnewline
0.835 & 4256.59754310697 & 114.930262072848 \tabularnewline
0.84 & 4269.93294816636 & 113.954208943959 \tabularnewline
0.845 & 4283.32720669812 & 113.019467253239 \tabularnewline
0.85 & 4296.78589679535 & 112.102679401073 \tabularnewline
0.855 & 4310.31255627343 & 111.167747673758 \tabularnewline
0.86 & 4323.90848397969 & 110.187583508784 \tabularnewline
0.865 & 4337.57265314736 & 109.130348771717 \tabularnewline
0.87 & 4351.30170838631 & 107.968620751337 \tabularnewline
0.875 & 4365.0900061111 & 106.682689593788 \tabularnewline
0.88 & 4378.92965242707 & 105.256113878323 \tabularnewline
0.885 & 4392.81049613280 & 103.677153458633 \tabularnewline
0.89 & 4406.72005086259 & 101.943960129803 \tabularnewline
0.895 & 4420.64335209426 & 100.046592312508 \tabularnewline
0.9 & 4434.56280286735 & 97.982076694313 \tabularnewline
0.905 & 4448.45812509865 & 95.7415595416673 \tabularnewline
0.91 & 4462.30660590397 & 93.305250333706 \tabularnewline
0.915 & 4476.08389918517 & 90.6558417372697 \tabularnewline
0.92 & 4489.76569278891 & 87.7586945910622 \tabularnewline
0.925 & 4503.33055104016 & 84.5890688506835 \tabularnewline
0.93 & 4516.76414869354 & 81.1287123721522 \tabularnewline
0.935 & 4530.06486951459 & 77.3785172050802 \tabularnewline
0.94 & 4543.25028769004 & 73.3788820334074 \tabularnewline
0.945 & 4556.36333064701 & 69.2161515375659 \tabularnewline
0.95 & 4569.47593399633 & 65.0524537653744 \tabularnewline
0.955 & 4582.68685312628 & 61.1233515650518 \tabularnewline
0.96 & 4596.10930421093 & 57.7592617245356 \tabularnewline
0.965 & 4609.84387610356 & 55.3658115801335 \tabularnewline
0.97 & 4623.93361490648 & 54.3654965653944 \tabularnewline
0.975 & 4638.30245780012 & 55.078500459478 \tabularnewline
0.98 & 4652.68615730307 & 57.5551957183953 \tabularnewline
0.985 & 4666.57626125184 & 61.4751416306733 \tabularnewline
0.99 & 4679.2100355289 & 66.1654088271386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19184&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]2135.97702830375[/C][C]53.1774377928592[/C][/ROW]
[ROW][C]0.015[/C][C]2147.73677831191[/C][C]56.3334325810753[/C][/ROW]
[ROW][C]0.02[/C][C]2161.67570661521[/C][C]62.1198695354871[/C][/ROW]
[ROW][C]0.025[/C][C]2177.31647844207[/C][C]69.8621271648431[/C][/ROW]
[ROW][C]0.03[/C][C]2194.23793131595[/C][C]78.3298036903036[/C][/ROW]
[ROW][C]0.035[/C][C]2212.07299008361[/C][C]86.268346082777[/C][/ROW]
[ROW][C]0.04[/C][C]2230.49031906281[/C][C]92.6975219004896[/C][/ROW]
[ROW][C]0.045[/C][C]2249.17785418221[/C][C]97.0046010060234[/C][/ROW]
[ROW][C]0.05[/C][C]2267.83660462425[/C][C]98.9402088181936[/C][/ROW]
[ROW][C]0.055[/C][C]2286.18533928482[/C][C]98.5739583071044[/C][/ROW]
[ROW][C]0.06[/C][C]2303.97240648513[/C][C]96.201219887623[/C][/ROW]
[ROW][C]0.065[/C][C]2320.98965833578[/C][C]92.2808132512581[/C][/ROW]
[ROW][C]0.07[/C][C]2337.08420151540[/C][C]87.3457600099204[/C][/ROW]
[ROW][C]0.075[/C][C]2352.16535588330[/C][C]81.9455441092211[/C][/ROW]
[ROW][C]0.08[/C][C]2366.20593768783[/C][C]76.6049842199856[/C][/ROW]
[ROW][C]0.085[/C][C]2379.23832845123[/C][C]71.7941543905036[/C][/ROW]
[ROW][C]0.09[/C][C]2391.34658527945[/C][C]67.9079978256538[/C][/ROW]
[ROW][C]0.095[/C][C]2402.65613446462[/C][C]65.2646933588286[/C][/ROW]
[ROW][C]0.1[/C][C]2413.32250521412[/C][C]64.0824676134979[/C][/ROW]
[ROW][C]0.105[/C][C]2423.52026256499[/C][C]64.4840268558263[/C][/ROW]
[ROW][C]0.11[/C][C]2433.43292381172[/C][C]66.4861117844426[/C][/ROW]
[ROW][C]0.115[/C][C]2443.24428623018[/C][C]70.0218299337135[/C][/ROW]
[ROW][C]0.12[/C][C]2453.13130881372[/C][C]74.957704104066[/C][/ROW]
[ROW][C]0.125[/C][C]2463.25849627916[/C][C]81.1279507825927[/C][/ROW]
[ROW][C]0.13[/C][C]2473.77362549502[/C][C]88.3438270675352[/C][/ROW]
[ROW][C]0.135[/C][C]2484.80461546082[/C][C]96.4115437462828[/C][/ROW]
[ROW][C]0.14[/C][C]2496.45734996265[/C][C]105.129219891883[/C][/ROW]
[ROW][C]0.145[/C][C]2508.81429578563[/C][C]114.294530453628[/C][/ROW]
[ROW][C]0.15[/C][C]2521.93380158054[/C][C]123.697178363290[/C][/ROW]
[ROW][C]0.155[/C][C]2535.85000107152[/C][C]133.130812350077[/C][/ROW]
[ROW][C]0.16[/C][C]2550.57327232817[/C][C]142.39200261276[/C][/ROW]
[ROW][C]0.165[/C][C]2566.09121973151[/C][C]151.282903338823[/C][/ROW]
[ROW][C]0.17[/C][C]2582.37014766629[/C][C]159.619308780006[/C][/ROW]
[ROW][C]0.175[/C][C]2599.35698752156[/C][C]167.238847769105[/C][/ROW]
[ROW][C]0.18[/C][C]2616.98162590144[/C][C]173.994561873213[/C][/ROW]
[ROW][C]0.185[/C][C]2635.15956581753[/C][C]179.765582506819[/C][/ROW]
[ROW][C]0.19[/C][C]2653.79483741521[/C][C]184.467091930495[/C][/ROW]
[ROW][C]0.195[/C][C]2672.783063079[/C][C]188.036355125151[/C][/ROW]
[ROW][C]0.2[/C][C]2692.01457526387[/C][C]190.442434338748[/C][/ROW]
[ROW][C]0.205[/C][C]2711.37748489562[/C][C]191.679728419429[/C][/ROW]
[ROW][C]0.21[/C][C]2730.76060365836[/C][C]191.781273407129[/C][/ROW]
[ROW][C]0.215[/C][C]2750.05613427998[/C][C]190.792631913602[/C][/ROW]
[ROW][C]0.22[/C][C]2769.16205792668[/C][C]188.788227204772[/C][/ROW]
[ROW][C]0.225[/C][C]2787.98416565374[/C][C]185.860711236266[/C][/ROW]
[ROW][C]0.23[/C][C]2806.43770007804[/C][C]182.114122983145[/C][/ROW]
[ROW][C]0.235[/C][C]2824.44859264539[/C][C]177.662618683857[/C][/ROW]
[ROW][C]0.24[/C][C]2841.95429984454[/C][C]172.624880146579[/C][/ROW]
[ROW][C]0.245[/C][C]2858.90425749939[/C][C]167.130876416078[/C][/ROW]
[ROW][C]0.25[/C][C]2875.25998516691[/C][C]161.297093918306[/C][/ROW]
[ROW][C]0.255[/C][C]2890.99488229352[/C][C]155.240682430118[/C][/ROW]
[ROW][C]0.26[/C][C]2906.09376402352[/C][C]149.081146583807[/C][/ROW]
[ROW][C]0.265[/C][C]2920.55218754088[/C][C]142.920821524400[/C][/ROW]
[ROW][C]0.27[/C][C]2934.37561988084[/C][C]136.857639006137[/C][/ROW]
[ROW][C]0.275[/C][C]2947.57849573083[/C][C]130.979332444301[/C][/ROW]
[ROW][C]0.28[/C][C]2960.18320939406[/C][C]125.36607573463[/C][/ROW]
[ROW][C]0.285[/C][C]2972.2190793882[/C][C]120.081585358877[/C][/ROW]
[ROW][C]0.29[/C][C]2983.72131765785[/C][C]115.188960751755[/C][/ROW]
[ROW][C]0.295[/C][C]2994.73002860716[/C][C]110.737944715181[/C][/ROW]
[ROW][C]0.3[/C][C]3005.28925654687[/C][C]106.772354905171[/C][/ROW]
[ROW][C]0.305[/C][C]3015.44609404886[/C][C]103.322454262010[/C][/ROW]
[ROW][C]0.31[/C][C]3025.24985836308[/C][C]100.419145191737[/C][/ROW]
[ROW][C]0.315[/C][C]3034.7513386328[/C][C]98.081298083853[/C][/ROW]
[ROW][C]0.32[/C][C]3044.00211321296[/C][C]96.3218980622018[/C][/ROW]
[ROW][C]0.325[/C][C]3053.05393394239[/C][C]95.1420840459462[/C][/ROW]
[ROW][C]0.33[/C][C]3061.95817267284[/C][C]94.5468338382616[/C][/ROW]
[ROW][C]0.335[/C][C]3070.76532459872[/C][C]94.5214963817162[/C][/ROW]
[ROW][C]0.34[/C][C]3079.52456281378[/C][C]95.0498201822787[/C][/ROW]
[ROW][C]0.345[/C][C]3088.28333888568[/C][C]96.1162892530747[/C][/ROW]
[ROW][C]0.35[/C][C]3097.08702492536[/C][C]97.6894082548107[/C][/ROW]
[ROW][C]0.355[/C][C]3105.97859348749[/C][C]99.7377757754569[/C][/ROW]
[ROW][C]0.36[/C][C]3114.9983325432[/C][C]102.223545843572[/C][/ROW]
[ROW][C]0.365[/C][C]3124.18359361446[/C][C]105.108850117375[/C][/ROW]
[ROW][C]0.37[/C][C]3133.56857187773[/C][C]108.351016334318[/C][/ROW]
[ROW][C]0.375[/C][C]3143.18411759024[/C][C]111.908530125630[/C][/ROW]
[ROW][C]0.38[/C][C]3153.05757854717[/C][C]115.736418905427[/C][/ROW]
[ROW][C]0.385[/C][C]3163.21267345181[/C][C]119.791690849422[/C][/ROW]
[ROW][C]0.39[/C][C]3173.66939609628[/C][C]124.02466436816[/C][/ROW]
[ROW][C]0.395[/C][C]3184.44395014789[/C][C]128.392963751784[/C][/ROW]
[ROW][C]0.4[/C][C]3195.54871415834[/C][C]132.852358815657[/C][/ROW]
[ROW][C]0.405[/C][C]3206.99223620557[/C][C]137.358918503295[/C][/ROW]
[ROW][C]0.41[/C][C]3218.77925738[/C][C]141.865091788620[/C][/ROW]
[ROW][C]0.415[/C][C]3230.91076317084[/C][C]146.334285324568[/C][/ROW]
[ROW][C]0.42[/C][C]3243.38406171195[/C][C]150.717894885628[/C][/ROW]
[ROW][C]0.425[/C][C]3256.19288781883[/C][C]154.986280315306[/C][/ROW]
[ROW][C]0.43[/C][C]3269.3275317815[/C][C]159.091299879863[/C][/ROW]
[ROW][C]0.435[/C][C]3282.77499195651[/C][C]163.002726603429[/C][/ROW]
[ROW][C]0.44[/C][C]3296.51915029810[/C][C]166.681671151549[/C][/ROW]
[ROW][C]0.445[/C][C]3310.54097005474[/C][C]170.098330778952[/C][/ROW]
[ROW][C]0.45[/C][C]3324.81871489965[/C][C]173.217019044322[/C][/ROW]
[ROW][C]0.455[/C][C]3339.32818873464[/C][C]176.01405926502[/C][/ROW]
[ROW][C]0.46[/C][C]3354.04299528276[/C][C]178.462743061991[/C][/ROW]
[ROW][C]0.465[/C][C]3368.93481635397[/C][C]180.541373746223[/C][/ROW]
[ROW][C]0.47[/C][C]3383.97370732785[/C][C]182.233059533664[/C][/ROW]
[ROW][C]0.475[/C][C]3399.12840795868[/C][C]183.519167280318[/C][/ROW]
[ROW][C]0.48[/C][C]3414.36666609461[/C][C]184.391408330788[/C][/ROW]
[ROW][C]0.485[/C][C]3429.65557134658[/C][C]184.843406298945[/C][/ROW]
[ROW][C]0.49[/C][C]3444.96189518620[/C][C]184.872153447140[/C][/ROW]
[ROW][C]0.495[/C][C]3460.25243344116[/C][C]184.4773134819[/C][/ROW]
[ROW][C]0.5[/C][C]3475.49434673812[/C][C]183.667546170987[/C][/ROW]
[ROW][C]0.505[/C][C]3490.65549416182[/C][C]182.448366746778[/C][/ROW]
[ROW][C]0.51[/C][C]3505.70475528993[/C][C]180.840013990517[/C][/ROW]
[ROW][C]0.515[/C][C]3520.61233585416[/C][C]178.859942082682[/C][/ROW]
[ROW][C]0.52[/C][C]3535.35005258092[/C][C]176.530159877131[/C][/ROW]
[ROW][C]0.525[/C][C]3549.89159327756[/C][C]173.873934211913[/C][/ROW]
[ROW][C]0.53[/C][C]3564.2127489357[/C][C]170.917227241434[/C][/ROW]
[ROW][C]0.535[/C][C]3578.29161548822[/C][C]167.689345444425[/C][/ROW]
[ROW][C]0.54[/C][C]3592.10876383579[/C][C]164.236674175668[/C][/ROW]
[ROW][C]0.545[/C][C]3605.64737779546[/C][C]160.575674972727[/C][/ROW]
[ROW][C]0.55[/C][C]3618.89336065487[/C][C]156.750672883184[/C][/ROW]
[ROW][C]0.555[/C][C]3631.83541197541[/C][C]152.793022547125[/C][/ROW]
[ROW][C]0.56[/C][C]3644.46507711023[/C][C]148.738356445532[/C][/ROW]
[ROW][C]0.565[/C][C]3656.77677253265[/C][C]144.625751630573[/C][/ROW]
[ROW][C]0.57[/C][C]3668.76779045596[/C][C]140.481975045724[/C][/ROW]
[ROW][C]0.575[/C][C]3680.43828633616[/C][C]136.344743440563[/C][/ROW]
[ROW][C]0.58[/C][C]3691.79125266428[/C][C]132.245133658513[/C][/ROW]
[ROW][C]0.585[/C][C]3702.83248197789[/C][C]128.217136485573[/C][/ROW]
[ROW][C]0.59[/C][C]3713.57052127161[/C][C]124.291272331524[/C][/ROW]
[ROW][C]0.595[/C][C]3724.01661900390[/C][C]120.496968022546[/C][/ROW]
[ROW][C]0.6[/C][C]3734.18466473962[/C][C]116.859181287304[/C][/ROW]
[ROW][C]0.605[/C][C]3744.09112020761[/C][C]113.416151270076[/C][/ROW]
[ROW][C]0.61[/C][C]3753.75493927532[/C][C]110.188997473218[/C][/ROW]
[ROW][C]0.615[/C][C]3763.19747314054[/C][C]107.206572559129[/C][/ROW]
[ROW][C]0.62[/C][C]3772.44235601161[/C][C]104.498043412084[/C][/ROW]
[ROW][C]0.625[/C][C]3781.51536578533[/C][C]102.087555230745[/C][/ROW]
[ROW][C]0.63[/C][C]3790.44425382488[/C][C]100.002734098483[/C][/ROW]
[ROW][C]0.635[/C][C]3799.25853796263[/C][C]98.2667230222194[/C][/ROW]
[ROW][C]0.64[/C][C]3807.98925336184[/C][C]96.8990667455032[/C][/ROW]
[ROW][C]0.645[/C][C]3816.66865689992[/C][C]95.9212659370137[/C][/ROW]
[ROW][C]0.65[/C][C]3825.32988229082[/C][C]95.3418979641768[/C][/ROW]
[ROW][C]0.655[/C][C]3834.00654521878[/C][C]95.1719867210587[/C][/ROW]
[ROW][C]0.66[/C][C]3842.73230025277[/C][C]95.4174217725371[/C][/ROW]
[ROW][C]0.665[/C][C]3851.54035415583[/C][C]96.0650460451553[/C][/ROW]
[ROW][C]0.67[/C][C]3860.46294327126[/C][C]97.1022570122234[/C][/ROW]
[ROW][C]0.675[/C][C]3869.53078580129[/C][C]98.5095045711603[/C][/ROW]
[ROW][C]0.68[/C][C]3878.77252281249[/C][C]100.254612678285[/C][/ROW]
[ROW][C]0.685[/C][C]3888.21416450988[/C][C]102.296417853738[/C][/ROW]
[ROW][C]0.69[/C][C]3897.8785605138[/C][C]104.586613826228[/C][/ROW]
[ROW][C]0.695[/C][C]3907.78491435419[/C][C]107.079104731871[/C][/ROW]
[ROW][C]0.7[/C][C]3917.94836298806[/C][C]109.712419240710[/C][/ROW]
[ROW][C]0.705[/C][C]3928.37964170571[/C][C]112.422347073857[/C][/ROW]
[ROW][C]0.71[/C][C]3939.08485322441[/C][C]115.146172415890[/C][/ROW]
[ROW][C]0.715[/C][C]3950.06535704153[/C][C]117.822630566756[/C][/ROW]
[ROW][C]0.72[/C][C]3961.31779126917[/C][C]120.392357156070[/C][/ROW]
[ROW][C]0.725[/C][C]3972.83423431144[/C][C]122.792499291621[/C][/ROW]
[ROW][C]0.73[/C][C]3984.60250806231[/C][C]124.974279068636[/C][/ROW]
[ROW][C]0.735[/C][C]3996.60661805569[/C][C]126.886075679938[/C][/ROW]
[ROW][C]0.74[/C][C]4008.82731950776[/C][C]128.494424391314[/C][/ROW]
[ROW][C]0.745[/C][C]4021.24279181505[/C][C]129.771728235289[/C][/ROW]
[ROW][C]0.75[/C][C]4033.82939818905[/C][C]130.694452536767[/C][/ROW]
[ROW][C]0.755[/C][C]4046.56250209252[/C][C]131.262094615047[/C][/ROW]
[ROW][C]0.76[/C][C]4059.41730833563[/C][C]131.477863425306[/C][/ROW]
[ROW][C]0.765[/C][C]4072.36969437372[/C][C]131.353598427475[/C][/ROW]
[ROW][C]0.77[/C][C]4085.39699672742[/C][C]130.915165843576[/C][/ROW]
[ROW][C]0.775[/C][C]4098.47871862722[/C][C]130.193573137866[/C][/ROW]
[ROW][C]0.78[/C][C]4111.59712797338[/C][C]129.228185113934[/C][/ROW]
[ROW][C]0.785[/C][C]4124.73771939615[/C][C]128.071018918707[/C][/ROW]
[ROW][C]0.79[/C][C]4137.88952040233[/C][C]126.765588492119[/C][/ROW]
[ROW][C]0.795[/C][C]4151.04522901719[/C][C]125.360334591046[/C][/ROW]
[ROW][C]0.8[/C][C]4164.20117862131[/C][C]123.904163521806[/C][/ROW]
[ROW][C]0.805[/C][C]4177.35713443325[/C][C]122.438720309960[/C][/ROW]
[ROW][C]0.81[/C][C]4190.51593485803[/C][C]120.999957884816[/C][/ROW]
[ROW][C]0.815[/C][C]4203.68299923637[/C][C]119.616472896118[/C][/ROW]
[ROW][C]0.82[/C][C]4216.86573090257[/C][C]118.313320925835[/C][/ROW]
[ROW][C]0.825[/C][C]4230.07285038593[/C][C]117.097662438053[/C][/ROW]
[ROW][C]0.83[/C][C]4243.31369756464[/C][C]115.972884250084[/C][/ROW]
[ROW][C]0.835[/C][C]4256.59754310697[/C][C]114.930262072848[/C][/ROW]
[ROW][C]0.84[/C][C]4269.93294816636[/C][C]113.954208943959[/C][/ROW]
[ROW][C]0.845[/C][C]4283.32720669812[/C][C]113.019467253239[/C][/ROW]
[ROW][C]0.85[/C][C]4296.78589679535[/C][C]112.102679401073[/C][/ROW]
[ROW][C]0.855[/C][C]4310.31255627343[/C][C]111.167747673758[/C][/ROW]
[ROW][C]0.86[/C][C]4323.90848397969[/C][C]110.187583508784[/C][/ROW]
[ROW][C]0.865[/C][C]4337.57265314736[/C][C]109.130348771717[/C][/ROW]
[ROW][C]0.87[/C][C]4351.30170838631[/C][C]107.968620751337[/C][/ROW]
[ROW][C]0.875[/C][C]4365.0900061111[/C][C]106.682689593788[/C][/ROW]
[ROW][C]0.88[/C][C]4378.92965242707[/C][C]105.256113878323[/C][/ROW]
[ROW][C]0.885[/C][C]4392.81049613280[/C][C]103.677153458633[/C][/ROW]
[ROW][C]0.89[/C][C]4406.72005086259[/C][C]101.943960129803[/C][/ROW]
[ROW][C]0.895[/C][C]4420.64335209426[/C][C]100.046592312508[/C][/ROW]
[ROW][C]0.9[/C][C]4434.56280286735[/C][C]97.982076694313[/C][/ROW]
[ROW][C]0.905[/C][C]4448.45812509865[/C][C]95.7415595416673[/C][/ROW]
[ROW][C]0.91[/C][C]4462.30660590397[/C][C]93.305250333706[/C][/ROW]
[ROW][C]0.915[/C][C]4476.08389918517[/C][C]90.6558417372697[/C][/ROW]
[ROW][C]0.92[/C][C]4489.76569278891[/C][C]87.7586945910622[/C][/ROW]
[ROW][C]0.925[/C][C]4503.33055104016[/C][C]84.5890688506835[/C][/ROW]
[ROW][C]0.93[/C][C]4516.76414869354[/C][C]81.1287123721522[/C][/ROW]
[ROW][C]0.935[/C][C]4530.06486951459[/C][C]77.3785172050802[/C][/ROW]
[ROW][C]0.94[/C][C]4543.25028769004[/C][C]73.3788820334074[/C][/ROW]
[ROW][C]0.945[/C][C]4556.36333064701[/C][C]69.2161515375659[/C][/ROW]
[ROW][C]0.95[/C][C]4569.47593399633[/C][C]65.0524537653744[/C][/ROW]
[ROW][C]0.955[/C][C]4582.68685312628[/C][C]61.1233515650518[/C][/ROW]
[ROW][C]0.96[/C][C]4596.10930421093[/C][C]57.7592617245356[/C][/ROW]
[ROW][C]0.965[/C][C]4609.84387610356[/C][C]55.3658115801335[/C][/ROW]
[ROW][C]0.97[/C][C]4623.93361490648[/C][C]54.3654965653944[/C][/ROW]
[ROW][C]0.975[/C][C]4638.30245780012[/C][C]55.078500459478[/C][/ROW]
[ROW][C]0.98[/C][C]4652.68615730307[/C][C]57.5551957183953[/C][/ROW]
[ROW][C]0.985[/C][C]4666.57626125184[/C][C]61.4751416306733[/C][/ROW]
[ROW][C]0.99[/C][C]4679.2100355289[/C][C]66.1654088271386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19184&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
0.012135.9770283037553.1774377928592
0.0152147.7367783119156.3334325810753
0.022161.6757066152162.1198695354871
0.0252177.3164784420769.8621271648431
0.032194.2379313159578.3298036903036
0.0352212.0729900836186.268346082777
0.042230.4903190628192.6975219004896
0.0452249.1778541822197.0046010060234
0.052267.8366046242598.9402088181936
0.0552286.1853392848298.5739583071044
0.062303.9724064851396.201219887623
0.0652320.9896583357892.2808132512581
0.072337.0842015154087.3457600099204
0.0752352.1653558833081.9455441092211
0.082366.2059376878376.6049842199856
0.0852379.2383284512371.7941543905036
0.092391.3465852794567.9079978256538
0.0952402.6561344646265.2646933588286
0.12413.3225052141264.0824676134979
0.1052423.5202625649964.4840268558263
0.112433.4329238117266.4861117844426
0.1152443.2442862301870.0218299337135
0.122453.1313088137274.957704104066
0.1252463.2584962791681.1279507825927
0.132473.7736254950288.3438270675352
0.1352484.8046154608296.4115437462828
0.142496.45734996265105.129219891883
0.1452508.81429578563114.294530453628
0.152521.93380158054123.697178363290
0.1552535.85000107152133.130812350077
0.162550.57327232817142.39200261276
0.1652566.09121973151151.282903338823
0.172582.37014766629159.619308780006
0.1752599.35698752156167.238847769105
0.182616.98162590144173.994561873213
0.1852635.15956581753179.765582506819
0.192653.79483741521184.467091930495
0.1952672.783063079188.036355125151
0.22692.01457526387190.442434338748
0.2052711.37748489562191.679728419429
0.212730.76060365836191.781273407129
0.2152750.05613427998190.792631913602
0.222769.16205792668188.788227204772
0.2252787.98416565374185.860711236266
0.232806.43770007804182.114122983145
0.2352824.44859264539177.662618683857
0.242841.95429984454172.624880146579
0.2452858.90425749939167.130876416078
0.252875.25998516691161.297093918306
0.2552890.99488229352155.240682430118
0.262906.09376402352149.081146583807
0.2652920.55218754088142.920821524400
0.272934.37561988084136.857639006137
0.2752947.57849573083130.979332444301
0.282960.18320939406125.36607573463
0.2852972.2190793882120.081585358877
0.292983.72131765785115.188960751755
0.2952994.73002860716110.737944715181
0.33005.28925654687106.772354905171
0.3053015.44609404886103.322454262010
0.313025.24985836308100.419145191737
0.3153034.751338632898.081298083853
0.323044.0021132129696.3218980622018
0.3253053.0539339423995.1420840459462
0.333061.9581726728494.5468338382616
0.3353070.7653245987294.5214963817162
0.343079.5245628137895.0498201822787
0.3453088.2833388856896.1162892530747
0.353097.0870249253697.6894082548107
0.3553105.9785934874999.7377757754569
0.363114.9983325432102.223545843572
0.3653124.18359361446105.108850117375
0.373133.56857187773108.351016334318
0.3753143.18411759024111.908530125630
0.383153.05757854717115.736418905427
0.3853163.21267345181119.791690849422
0.393173.66939609628124.02466436816
0.3953184.44395014789128.392963751784
0.43195.54871415834132.852358815657
0.4053206.99223620557137.358918503295
0.413218.77925738141.865091788620
0.4153230.91076317084146.334285324568
0.423243.38406171195150.717894885628
0.4253256.19288781883154.986280315306
0.433269.3275317815159.091299879863
0.4353282.77499195651163.002726603429
0.443296.51915029810166.681671151549
0.4453310.54097005474170.098330778952
0.453324.81871489965173.217019044322
0.4553339.32818873464176.01405926502
0.463354.04299528276178.462743061991
0.4653368.93481635397180.541373746223
0.473383.97370732785182.233059533664
0.4753399.12840795868183.519167280318
0.483414.36666609461184.391408330788
0.4853429.65557134658184.843406298945
0.493444.96189518620184.872153447140
0.4953460.25243344116184.4773134819
0.53475.49434673812183.667546170987
0.5053490.65549416182182.448366746778
0.513505.70475528993180.840013990517
0.5153520.61233585416178.859942082682
0.523535.35005258092176.530159877131
0.5253549.89159327756173.873934211913
0.533564.2127489357170.917227241434
0.5353578.29161548822167.689345444425
0.543592.10876383579164.236674175668
0.5453605.64737779546160.575674972727
0.553618.89336065487156.750672883184
0.5553631.83541197541152.793022547125
0.563644.46507711023148.738356445532
0.5653656.77677253265144.625751630573
0.573668.76779045596140.481975045724
0.5753680.43828633616136.344743440563
0.583691.79125266428132.245133658513
0.5853702.83248197789128.217136485573
0.593713.57052127161124.291272331524
0.5953724.01661900390120.496968022546
0.63734.18466473962116.859181287304
0.6053744.09112020761113.416151270076
0.613753.75493927532110.188997473218
0.6153763.19747314054107.206572559129
0.623772.44235601161104.498043412084
0.6253781.51536578533102.087555230745
0.633790.44425382488100.002734098483
0.6353799.2585379626398.2667230222194
0.643807.9892533618496.8990667455032
0.6453816.6686568999295.9212659370137
0.653825.3298822908295.3418979641768
0.6553834.0065452187895.1719867210587
0.663842.7323002527795.4174217725371
0.6653851.5403541558396.0650460451553
0.673860.4629432712697.1022570122234
0.6753869.5307858012998.5095045711603
0.683878.77252281249100.254612678285
0.6853888.21416450988102.296417853738
0.693897.8785605138104.586613826228
0.6953907.78491435419107.079104731871
0.73917.94836298806109.712419240710
0.7053928.37964170571112.422347073857
0.713939.08485322441115.146172415890
0.7153950.06535704153117.822630566756
0.723961.31779126917120.392357156070
0.7253972.83423431144122.792499291621
0.733984.60250806231124.974279068636
0.7353996.60661805569126.886075679938
0.744008.82731950776128.494424391314
0.7454021.24279181505129.771728235289
0.754033.82939818905130.694452536767
0.7554046.56250209252131.262094615047
0.764059.41730833563131.477863425306
0.7654072.36969437372131.353598427475
0.774085.39699672742130.915165843576
0.7754098.47871862722130.193573137866
0.784111.59712797338129.228185113934
0.7854124.73771939615128.071018918707
0.794137.88952040233126.765588492119
0.7954151.04522901719125.360334591046
0.84164.20117862131123.904163521806
0.8054177.35713443325122.438720309960
0.814190.51593485803120.999957884816
0.8154203.68299923637119.616472896118
0.824216.86573090257118.313320925835
0.8254230.07285038593117.097662438053
0.834243.31369756464115.972884250084
0.8354256.59754310697114.930262072848
0.844269.93294816636113.954208943959
0.8454283.32720669812113.019467253239
0.854296.78589679535112.102679401073
0.8554310.31255627343111.167747673758
0.864323.90848397969110.187583508784
0.8654337.57265314736109.130348771717
0.874351.30170838631107.968620751337
0.8754365.0900061111106.682689593788
0.884378.92965242707105.256113878323
0.8854392.81049613280103.677153458633
0.894406.72005086259101.943960129803
0.8954420.64335209426100.046592312508
0.94434.5628028673597.982076694313
0.9054448.4581250986595.7415595416673
0.914462.3066059039793.305250333706
0.9154476.0838991851790.6558417372697
0.924489.7656927889187.7586945910622
0.9254503.3305510401684.5890688506835
0.934516.7641486935481.1287123721522
0.9354530.0648695145977.3785172050802
0.944543.2502876900473.3788820334074
0.9454556.3633306470169.2161515375659
0.954569.4759339963365.0524537653744
0.9554582.6868531262861.1233515650518
0.964596.1093042109357.7592617245356
0.9654609.8438761035655.3658115801335
0.974623.9336149064854.3654965653944
0.9754638.3024578001255.078500459478
0.984652.6861573030757.5551957183953
0.9854666.5762612518461.4751416306733
0.994679.210035528966.1654088271386


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')