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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 16:09:25 -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/t1225145509o42w5mjuwr9c60z.htm/, Retrieved Sun, 19 May 2024 14:38:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19683, Retrieved Sun, 19 May 2024 14:38:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Harrell - Davis Q...] [2008-10-27 22:09:25] [d592f629d96b926609f311957d74fcca] [Current]
-    D      [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-10-27 22:48:24] [adb6b6905cde49db36d59ca44433140d]
Feedback Forum
2008-10-28 19:54:39 [Glenn De Maeyer] [reply] 
Een andere manier om dit op te lossen is door in de R-code x <- x - 3444.10 (het gemiddelde van de reeks) in te geven.
2008-10-29 16:18:25 [Jan Van Riet] [reply] 
Dit interval klopt.
Om meteen de waarden waarbinnen dit interval valt af te kunnen lezen (zonder constante factor dus = gemiddelde) kan je dit in de R-code veranderen. Je verandert x in: x <- x - het gemiddelde van deze tijdreeks.

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
2407.60
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
3970.10
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.40
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.40
3857.62
3801.06
3504.37
3032.60
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 time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19683&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19683&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19683&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012135.9770283037553.1774377928592
0.022161.6757066152162.1198695354871
0.032194.2379313159678.3298036903036
0.042230.4903190628192.6975219004896
0.052267.8366046242598.9402088181936
0.062303.9724064851396.201219887623
0.072337.084201515487.3457600099204
0.082366.2059376878376.6049842199856
0.092391.3465852794567.9079978256538
0.12413.3225052141264.0824676134979
0.112433.4329238117266.4861117844426
0.122453.1313088137174.957704104066
0.132473.7736254950288.3438270675352
0.142496.45734996265105.129219891883
0.152521.93380158054123.697178363290
0.162550.57327232817142.392002612760
0.172582.37014766629159.619308780006
0.182616.98162590144173.994561873213
0.192653.79483741521184.467091930495
0.22692.01457526387190.442434338748
0.212730.76060365836191.781273407129
0.222769.16205792668188.788227204772
0.232806.43770007804182.114122983145
0.242841.95429984454172.624880146579
0.252875.25998516691161.297093918306
0.262906.09376402352149.081146583807
0.272934.37561988084136.857639006137
0.282960.18320939406125.36607573463
0.292983.72131765785115.188960751755
0.33005.28925654686106.772354905171
0.313025.24985836308100.419145191737
0.323044.0021132129696.3218980622018
0.333061.9581726728594.5468338382616
0.343079.5245628137895.0498201822787
0.353097.0870249253697.6894082548107
0.363114.9983325432102.223545843572
0.373133.56857187773108.351016334318
0.383153.05757854717115.736418905427
0.393173.66939609628124.024664368160
0.43195.54871415834132.852358815657
0.413218.77925738141.865091788620
0.423243.38406171196150.717894885628
0.433269.3275317815159.091299879863
0.443296.51915029809166.681671151549
0.453324.81871489965173.217019044322
0.463354.04299528276178.462743061991
0.473383.97370732785182.233059533664
0.483414.36666609461184.391408330788
0.493444.96189518620184.872153447140
0.53475.49434673812183.667546170987
0.513505.70475528993180.840013990517
0.523535.35005258092176.530159877131
0.533564.2127489357170.917227241434
0.543592.10876383579164.236674175668
0.553618.89336065488156.750672883184
0.563644.46507711023148.738356445532
0.573668.76779045596140.481975045724
0.583691.79125266428132.245133658513
0.593713.57052127161124.291272331524
0.63734.18466473962116.859181287304
0.613753.75493927532110.188997473218
0.623772.44235601161104.498043412084
0.633790.44425382488100.002734098483
0.643807.9892533618496.8990667455032
0.653825.3298822908295.3418979641768
0.663842.7323002527795.417421772537
0.673860.4629432712697.1022570122234
0.683878.77252281249100.254612678285
0.693897.8785605138104.586613826228
0.73917.94836298806109.712419240710
0.713939.08485322441115.146172415890
0.723961.31779126917120.392357156070
0.733984.60250806231124.974279068636
0.744008.82731950776128.494424391314
0.754033.82939818905130.694452536767
0.764059.41730833563131.477863425306
0.774085.39699672742130.915165843576
0.784111.59712797338129.228185113934
0.794137.88952040233126.765588492119
0.84164.20117862131123.904163521806
0.814190.51593485803120.999957884816
0.824216.86573090257118.313320925835
0.834243.31369756464115.972884250084
0.844269.93294816636113.954208943959
0.854296.78589679535112.102679401073
0.864323.90848397969110.187583508784
0.874351.30170838631107.968620751337
0.884378.92965242707105.256113878323
0.894406.72005086259101.943960129803
0.94434.5628028673597.982076694313
0.914462.3066059039793.305250333706
0.924489.7656927889187.7586945910622
0.934516.7641486935481.1287123721522
0.944543.2502876900473.3788820334074
0.954569.4759339963365.0524537653744
0.964596.1093042109357.7592617245356
0.974623.9336149064854.3654965653944
0.984652.6861573030757.5551957183953
0.994679.210035528966.1654088271386

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2135.97702830375 & 53.1774377928592 \tabularnewline
0.02 & 2161.67570661521 & 62.1198695354871 \tabularnewline
0.03 & 2194.23793131596 & 78.3298036903036 \tabularnewline
0.04 & 2230.49031906281 & 92.6975219004896 \tabularnewline
0.05 & 2267.83660462425 & 98.9402088181936 \tabularnewline
0.06 & 2303.97240648513 & 96.201219887623 \tabularnewline
0.07 & 2337.0842015154 & 87.3457600099204 \tabularnewline
0.08 & 2366.20593768783 & 76.6049842199856 \tabularnewline
0.09 & 2391.34658527945 & 67.9079978256538 \tabularnewline
0.1 & 2413.32250521412 & 64.0824676134979 \tabularnewline
0.11 & 2433.43292381172 & 66.4861117844426 \tabularnewline
0.12 & 2453.13130881371 & 74.957704104066 \tabularnewline
0.13 & 2473.77362549502 & 88.3438270675352 \tabularnewline
0.14 & 2496.45734996265 & 105.129219891883 \tabularnewline
0.15 & 2521.93380158054 & 123.697178363290 \tabularnewline
0.16 & 2550.57327232817 & 142.392002612760 \tabularnewline
0.17 & 2582.37014766629 & 159.619308780006 \tabularnewline
0.18 & 2616.98162590144 & 173.994561873213 \tabularnewline
0.19 & 2653.79483741521 & 184.467091930495 \tabularnewline
0.2 & 2692.01457526387 & 190.442434338748 \tabularnewline
0.21 & 2730.76060365836 & 191.781273407129 \tabularnewline
0.22 & 2769.16205792668 & 188.788227204772 \tabularnewline
0.23 & 2806.43770007804 & 182.114122983145 \tabularnewline
0.24 & 2841.95429984454 & 172.624880146579 \tabularnewline
0.25 & 2875.25998516691 & 161.297093918306 \tabularnewline
0.26 & 2906.09376402352 & 149.081146583807 \tabularnewline
0.27 & 2934.37561988084 & 136.857639006137 \tabularnewline
0.28 & 2960.18320939406 & 125.36607573463 \tabularnewline
0.29 & 2983.72131765785 & 115.188960751755 \tabularnewline
0.3 & 3005.28925654686 & 106.772354905171 \tabularnewline
0.31 & 3025.24985836308 & 100.419145191737 \tabularnewline
0.32 & 3044.00211321296 & 96.3218980622018 \tabularnewline
0.33 & 3061.95817267285 & 94.5468338382616 \tabularnewline
0.34 & 3079.52456281378 & 95.0498201822787 \tabularnewline
0.35 & 3097.08702492536 & 97.6894082548107 \tabularnewline
0.36 & 3114.9983325432 & 102.223545843572 \tabularnewline
0.37 & 3133.56857187773 & 108.351016334318 \tabularnewline
0.38 & 3153.05757854717 & 115.736418905427 \tabularnewline
0.39 & 3173.66939609628 & 124.024664368160 \tabularnewline
0.4 & 3195.54871415834 & 132.852358815657 \tabularnewline
0.41 & 3218.77925738 & 141.865091788620 \tabularnewline
0.42 & 3243.38406171196 & 150.717894885628 \tabularnewline
0.43 & 3269.3275317815 & 159.091299879863 \tabularnewline
0.44 & 3296.51915029809 & 166.681671151549 \tabularnewline
0.45 & 3324.81871489965 & 173.217019044322 \tabularnewline
0.46 & 3354.04299528276 & 178.462743061991 \tabularnewline
0.47 & 3383.97370732785 & 182.233059533664 \tabularnewline
0.48 & 3414.36666609461 & 184.391408330788 \tabularnewline
0.49 & 3444.96189518620 & 184.872153447140 \tabularnewline
0.5 & 3475.49434673812 & 183.667546170987 \tabularnewline
0.51 & 3505.70475528993 & 180.840013990517 \tabularnewline
0.52 & 3535.35005258092 & 176.530159877131 \tabularnewline
0.53 & 3564.2127489357 & 170.917227241434 \tabularnewline
0.54 & 3592.10876383579 & 164.236674175668 \tabularnewline
0.55 & 3618.89336065488 & 156.750672883184 \tabularnewline
0.56 & 3644.46507711023 & 148.738356445532 \tabularnewline
0.57 & 3668.76779045596 & 140.481975045724 \tabularnewline
0.58 & 3691.79125266428 & 132.245133658513 \tabularnewline
0.59 & 3713.57052127161 & 124.291272331524 \tabularnewline
0.6 & 3734.18466473962 & 116.859181287304 \tabularnewline
0.61 & 3753.75493927532 & 110.188997473218 \tabularnewline
0.62 & 3772.44235601161 & 104.498043412084 \tabularnewline
0.63 & 3790.44425382488 & 100.002734098483 \tabularnewline
0.64 & 3807.98925336184 & 96.8990667455032 \tabularnewline
0.65 & 3825.32988229082 & 95.3418979641768 \tabularnewline
0.66 & 3842.73230025277 & 95.417421772537 \tabularnewline
0.67 & 3860.46294327126 & 97.1022570122234 \tabularnewline
0.68 & 3878.77252281249 & 100.254612678285 \tabularnewline
0.69 & 3897.8785605138 & 104.586613826228 \tabularnewline
0.7 & 3917.94836298806 & 109.712419240710 \tabularnewline
0.71 & 3939.08485322441 & 115.146172415890 \tabularnewline
0.72 & 3961.31779126917 & 120.392357156070 \tabularnewline
0.73 & 3984.60250806231 & 124.974279068636 \tabularnewline
0.74 & 4008.82731950776 & 128.494424391314 \tabularnewline
0.75 & 4033.82939818905 & 130.694452536767 \tabularnewline
0.76 & 4059.41730833563 & 131.477863425306 \tabularnewline
0.77 & 4085.39699672742 & 130.915165843576 \tabularnewline
0.78 & 4111.59712797338 & 129.228185113934 \tabularnewline
0.79 & 4137.88952040233 & 126.765588492119 \tabularnewline
0.8 & 4164.20117862131 & 123.904163521806 \tabularnewline
0.81 & 4190.51593485803 & 120.999957884816 \tabularnewline
0.82 & 4216.86573090257 & 118.313320925835 \tabularnewline
0.83 & 4243.31369756464 & 115.972884250084 \tabularnewline
0.84 & 4269.93294816636 & 113.954208943959 \tabularnewline
0.85 & 4296.78589679535 & 112.102679401073 \tabularnewline
0.86 & 4323.90848397969 & 110.187583508784 \tabularnewline
0.87 & 4351.30170838631 & 107.968620751337 \tabularnewline
0.88 & 4378.92965242707 & 105.256113878323 \tabularnewline
0.89 & 4406.72005086259 & 101.943960129803 \tabularnewline
0.9 & 4434.56280286735 & 97.982076694313 \tabularnewline
0.91 & 4462.30660590397 & 93.305250333706 \tabularnewline
0.92 & 4489.76569278891 & 87.7586945910622 \tabularnewline
0.93 & 4516.76414869354 & 81.1287123721522 \tabularnewline
0.94 & 4543.25028769004 & 73.3788820334074 \tabularnewline
0.95 & 4569.47593399633 & 65.0524537653744 \tabularnewline
0.96 & 4596.10930421093 & 57.7592617245356 \tabularnewline
0.97 & 4623.93361490648 & 54.3654965653944 \tabularnewline
0.98 & 4652.68615730307 & 57.5551957183953 \tabularnewline
0.99 & 4679.2100355289 & 66.1654088271386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19683&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]0.02[/C][C]2161.67570661521[/C][C]62.1198695354871[/C][/ROW]
[ROW][C]0.03[/C][C]2194.23793131596[/C][C]78.3298036903036[/C][/ROW]
[ROW][C]0.04[/C][C]2230.49031906281[/C][C]92.6975219004896[/C][/ROW]
[ROW][C]0.05[/C][C]2267.83660462425[/C][C]98.9402088181936[/C][/ROW]
[ROW][C]0.06[/C][C]2303.97240648513[/C][C]96.201219887623[/C][/ROW]
[ROW][C]0.07[/C][C]2337.0842015154[/C][C]87.3457600099204[/C][/ROW]
[ROW][C]0.08[/C][C]2366.20593768783[/C][C]76.6049842199856[/C][/ROW]
[ROW][C]0.09[/C][C]2391.34658527945[/C][C]67.9079978256538[/C][/ROW]
[ROW][C]0.1[/C][C]2413.32250521412[/C][C]64.0824676134979[/C][/ROW]
[ROW][C]0.11[/C][C]2433.43292381172[/C][C]66.4861117844426[/C][/ROW]
[ROW][C]0.12[/C][C]2453.13130881371[/C][C]74.957704104066[/C][/ROW]
[ROW][C]0.13[/C][C]2473.77362549502[/C][C]88.3438270675352[/C][/ROW]
[ROW][C]0.14[/C][C]2496.45734996265[/C][C]105.129219891883[/C][/ROW]
[ROW][C]0.15[/C][C]2521.93380158054[/C][C]123.697178363290[/C][/ROW]
[ROW][C]0.16[/C][C]2550.57327232817[/C][C]142.392002612760[/C][/ROW]
[ROW][C]0.17[/C][C]2582.37014766629[/C][C]159.619308780006[/C][/ROW]
[ROW][C]0.18[/C][C]2616.98162590144[/C][C]173.994561873213[/C][/ROW]
[ROW][C]0.19[/C][C]2653.79483741521[/C][C]184.467091930495[/C][/ROW]
[ROW][C]0.2[/C][C]2692.01457526387[/C][C]190.442434338748[/C][/ROW]
[ROW][C]0.21[/C][C]2730.76060365836[/C][C]191.781273407129[/C][/ROW]
[ROW][C]0.22[/C][C]2769.16205792668[/C][C]188.788227204772[/C][/ROW]
[ROW][C]0.23[/C][C]2806.43770007804[/C][C]182.114122983145[/C][/ROW]
[ROW][C]0.24[/C][C]2841.95429984454[/C][C]172.624880146579[/C][/ROW]
[ROW][C]0.25[/C][C]2875.25998516691[/C][C]161.297093918306[/C][/ROW]
[ROW][C]0.26[/C][C]2906.09376402352[/C][C]149.081146583807[/C][/ROW]
[ROW][C]0.27[/C][C]2934.37561988084[/C][C]136.857639006137[/C][/ROW]
[ROW][C]0.28[/C][C]2960.18320939406[/C][C]125.36607573463[/C][/ROW]
[ROW][C]0.29[/C][C]2983.72131765785[/C][C]115.188960751755[/C][/ROW]
[ROW][C]0.3[/C][C]3005.28925654686[/C][C]106.772354905171[/C][/ROW]
[ROW][C]0.31[/C][C]3025.24985836308[/C][C]100.419145191737[/C][/ROW]
[ROW][C]0.32[/C][C]3044.00211321296[/C][C]96.3218980622018[/C][/ROW]
[ROW][C]0.33[/C][C]3061.95817267285[/C][C]94.5468338382616[/C][/ROW]
[ROW][C]0.34[/C][C]3079.52456281378[/C][C]95.0498201822787[/C][/ROW]
[ROW][C]0.35[/C][C]3097.08702492536[/C][C]97.6894082548107[/C][/ROW]
[ROW][C]0.36[/C][C]3114.9983325432[/C][C]102.223545843572[/C][/ROW]
[ROW][C]0.37[/C][C]3133.56857187773[/C][C]108.351016334318[/C][/ROW]
[ROW][C]0.38[/C][C]3153.05757854717[/C][C]115.736418905427[/C][/ROW]
[ROW][C]0.39[/C][C]3173.66939609628[/C][C]124.024664368160[/C][/ROW]
[ROW][C]0.4[/C][C]3195.54871415834[/C][C]132.852358815657[/C][/ROW]
[ROW][C]0.41[/C][C]3218.77925738[/C][C]141.865091788620[/C][/ROW]
[ROW][C]0.42[/C][C]3243.38406171196[/C][C]150.717894885628[/C][/ROW]
[ROW][C]0.43[/C][C]3269.3275317815[/C][C]159.091299879863[/C][/ROW]
[ROW][C]0.44[/C][C]3296.51915029809[/C][C]166.681671151549[/C][/ROW]
[ROW][C]0.45[/C][C]3324.81871489965[/C][C]173.217019044322[/C][/ROW]
[ROW][C]0.46[/C][C]3354.04299528276[/C][C]178.462743061991[/C][/ROW]
[ROW][C]0.47[/C][C]3383.97370732785[/C][C]182.233059533664[/C][/ROW]
[ROW][C]0.48[/C][C]3414.36666609461[/C][C]184.391408330788[/C][/ROW]
[ROW][C]0.49[/C][C]3444.96189518620[/C][C]184.872153447140[/C][/ROW]
[ROW][C]0.5[/C][C]3475.49434673812[/C][C]183.667546170987[/C][/ROW]
[ROW][C]0.51[/C][C]3505.70475528993[/C][C]180.840013990517[/C][/ROW]
[ROW][C]0.52[/C][C]3535.35005258092[/C][C]176.530159877131[/C][/ROW]
[ROW][C]0.53[/C][C]3564.2127489357[/C][C]170.917227241434[/C][/ROW]
[ROW][C]0.54[/C][C]3592.10876383579[/C][C]164.236674175668[/C][/ROW]
[ROW][C]0.55[/C][C]3618.89336065488[/C][C]156.750672883184[/C][/ROW]
[ROW][C]0.56[/C][C]3644.46507711023[/C][C]148.738356445532[/C][/ROW]
[ROW][C]0.57[/C][C]3668.76779045596[/C][C]140.481975045724[/C][/ROW]
[ROW][C]0.58[/C][C]3691.79125266428[/C][C]132.245133658513[/C][/ROW]
[ROW][C]0.59[/C][C]3713.57052127161[/C][C]124.291272331524[/C][/ROW]
[ROW][C]0.6[/C][C]3734.18466473962[/C][C]116.859181287304[/C][/ROW]
[ROW][C]0.61[/C][C]3753.75493927532[/C][C]110.188997473218[/C][/ROW]
[ROW][C]0.62[/C][C]3772.44235601161[/C][C]104.498043412084[/C][/ROW]
[ROW][C]0.63[/C][C]3790.44425382488[/C][C]100.002734098483[/C][/ROW]
[ROW][C]0.64[/C][C]3807.98925336184[/C][C]96.8990667455032[/C][/ROW]
[ROW][C]0.65[/C][C]3825.32988229082[/C][C]95.3418979641768[/C][/ROW]
[ROW][C]0.66[/C][C]3842.73230025277[/C][C]95.417421772537[/C][/ROW]
[ROW][C]0.67[/C][C]3860.46294327126[/C][C]97.1022570122234[/C][/ROW]
[ROW][C]0.68[/C][C]3878.77252281249[/C][C]100.254612678285[/C][/ROW]
[ROW][C]0.69[/C][C]3897.8785605138[/C][C]104.586613826228[/C][/ROW]
[ROW][C]0.7[/C][C]3917.94836298806[/C][C]109.712419240710[/C][/ROW]
[ROW][C]0.71[/C][C]3939.08485322441[/C][C]115.146172415890[/C][/ROW]
[ROW][C]0.72[/C][C]3961.31779126917[/C][C]120.392357156070[/C][/ROW]
[ROW][C]0.73[/C][C]3984.60250806231[/C][C]124.974279068636[/C][/ROW]
[ROW][C]0.74[/C][C]4008.82731950776[/C][C]128.494424391314[/C][/ROW]
[ROW][C]0.75[/C][C]4033.82939818905[/C][C]130.694452536767[/C][/ROW]
[ROW][C]0.76[/C][C]4059.41730833563[/C][C]131.477863425306[/C][/ROW]
[ROW][C]0.77[/C][C]4085.39699672742[/C][C]130.915165843576[/C][/ROW]
[ROW][C]0.78[/C][C]4111.59712797338[/C][C]129.228185113934[/C][/ROW]
[ROW][C]0.79[/C][C]4137.88952040233[/C][C]126.765588492119[/C][/ROW]
[ROW][C]0.8[/C][C]4164.20117862131[/C][C]123.904163521806[/C][/ROW]
[ROW][C]0.81[/C][C]4190.51593485803[/C][C]120.999957884816[/C][/ROW]
[ROW][C]0.82[/C][C]4216.86573090257[/C][C]118.313320925835[/C][/ROW]
[ROW][C]0.83[/C][C]4243.31369756464[/C][C]115.972884250084[/C][/ROW]
[ROW][C]0.84[/C][C]4269.93294816636[/C][C]113.954208943959[/C][/ROW]
[ROW][C]0.85[/C][C]4296.78589679535[/C][C]112.102679401073[/C][/ROW]
[ROW][C]0.86[/C][C]4323.90848397969[/C][C]110.187583508784[/C][/ROW]
[ROW][C]0.87[/C][C]4351.30170838631[/C][C]107.968620751337[/C][/ROW]
[ROW][C]0.88[/C][C]4378.92965242707[/C][C]105.256113878323[/C][/ROW]
[ROW][C]0.89[/C][C]4406.72005086259[/C][C]101.943960129803[/C][/ROW]
[ROW][C]0.9[/C][C]4434.56280286735[/C][C]97.982076694313[/C][/ROW]
[ROW][C]0.91[/C][C]4462.30660590397[/C][C]93.305250333706[/C][/ROW]
[ROW][C]0.92[/C][C]4489.76569278891[/C][C]87.7586945910622[/C][/ROW]
[ROW][C]0.93[/C][C]4516.76414869354[/C][C]81.1287123721522[/C][/ROW]
[ROW][C]0.94[/C][C]4543.25028769004[/C][C]73.3788820334074[/C][/ROW]
[ROW][C]0.95[/C][C]4569.47593399633[/C][C]65.0524537653744[/C][/ROW]
[ROW][C]0.96[/C][C]4596.10930421093[/C][C]57.7592617245356[/C][/ROW]
[ROW][C]0.97[/C][C]4623.93361490648[/C][C]54.3654965653944[/C][/ROW]
[ROW][C]0.98[/C][C]4652.68615730307[/C][C]57.5551957183953[/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=19683&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19683&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
0.022161.6757066152162.1198695354871
0.032194.2379313159678.3298036903036
0.042230.4903190628192.6975219004896
0.052267.8366046242598.9402088181936
0.062303.9724064851396.201219887623
0.072337.084201515487.3457600099204
0.082366.2059376878376.6049842199856
0.092391.3465852794567.9079978256538
0.12413.3225052141264.0824676134979
0.112433.4329238117266.4861117844426
0.122453.1313088137174.957704104066
0.132473.7736254950288.3438270675352
0.142496.45734996265105.129219891883
0.152521.93380158054123.697178363290
0.162550.57327232817142.392002612760
0.172582.37014766629159.619308780006
0.182616.98162590144173.994561873213
0.192653.79483741521184.467091930495
0.22692.01457526387190.442434338748
0.212730.76060365836191.781273407129
0.222769.16205792668188.788227204772
0.232806.43770007804182.114122983145
0.242841.95429984454172.624880146579
0.252875.25998516691161.297093918306
0.262906.09376402352149.081146583807
0.272934.37561988084136.857639006137
0.282960.18320939406125.36607573463
0.292983.72131765785115.188960751755
0.33005.28925654686106.772354905171
0.313025.24985836308100.419145191737
0.323044.0021132129696.3218980622018
0.333061.9581726728594.5468338382616
0.343079.5245628137895.0498201822787
0.353097.0870249253697.6894082548107
0.363114.9983325432102.223545843572
0.373133.56857187773108.351016334318
0.383153.05757854717115.736418905427
0.393173.66939609628124.024664368160
0.43195.54871415834132.852358815657
0.413218.77925738141.865091788620
0.423243.38406171196150.717894885628
0.433269.3275317815159.091299879863
0.443296.51915029809166.681671151549
0.453324.81871489965173.217019044322
0.463354.04299528276178.462743061991
0.473383.97370732785182.233059533664
0.483414.36666609461184.391408330788
0.493444.96189518620184.872153447140
0.53475.49434673812183.667546170987
0.513505.70475528993180.840013990517
0.523535.35005258092176.530159877131
0.533564.2127489357170.917227241434
0.543592.10876383579164.236674175668
0.553618.89336065488156.750672883184
0.563644.46507711023148.738356445532
0.573668.76779045596140.481975045724
0.583691.79125266428132.245133658513
0.593713.57052127161124.291272331524
0.63734.18466473962116.859181287304
0.613753.75493927532110.188997473218
0.623772.44235601161104.498043412084
0.633790.44425382488100.002734098483
0.643807.9892533618496.8990667455032
0.653825.3298822908295.3418979641768
0.663842.7323002527795.417421772537
0.673860.4629432712697.1022570122234
0.683878.77252281249100.254612678285
0.693897.8785605138104.586613826228
0.73917.94836298806109.712419240710
0.713939.08485322441115.146172415890
0.723961.31779126917120.392357156070
0.733984.60250806231124.974279068636
0.744008.82731950776128.494424391314
0.754033.82939818905130.694452536767
0.764059.41730833563131.477863425306
0.774085.39699672742130.915165843576
0.784111.59712797338129.228185113934
0.794137.88952040233126.765588492119
0.84164.20117862131123.904163521806
0.814190.51593485803120.999957884816
0.824216.86573090257118.313320925835
0.834243.31369756464115.972884250084
0.844269.93294816636113.954208943959
0.854296.78589679535112.102679401073
0.864323.90848397969110.187583508784
0.874351.30170838631107.968620751337
0.884378.92965242707105.256113878323
0.894406.72005086259101.943960129803
0.94434.5628028673597.982076694313
0.914462.3066059039793.305250333706
0.924489.7656927889187.7586945910622
0.934516.7641486935481.1287123721522
0.944543.2502876900473.3788820334074
0.954569.4759339963365.0524537653744
0.964596.1093042109357.7592617245356
0.974623.9336149064854.3654965653944
0.984652.6861573030757.5551957183953
0.994679.210035528966.1654088271386


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')