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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 18 Nov 2015 17:32:26 +0000
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/Nov/18/t14478679674mz14xfrz6bs6ml.htm/, Retrieved Tue, 14 May 2024 01:12:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283518, Retrieved Tue, 14 May 2024 01:12:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-11-18 17:32:26] [935c69a10ec4a64678755fcf1ddf3064] [Current]
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Dataseries X:
8
10
10
13
14
12
11
8
8
10
10
12
12
12
11
12
12
12
12
12
12
10
12
10
11
10
10
12
10
12
7
12
18
12
11
13
10
10
10
8
12
10
10
8
14
9
8
12
15
14
1
9
7
8
12
57
12
10
10
8
8
16
14
13
10
12
9
12
11
10
8
8
9
12
8
12
10
12
9
8
12
8
12
10
12
9
28
10
12
9
14
12
12
99
13
13
14
12
12
10
11
12
14
10
12
12
6
12
10
12
12
12
9
12
12
13
8
12
10
10
10
9
12
9
10
8
12
10
8
8
9
12
12
10
10
9
11
10
9
15
10
8
10
8
9
9
6
16
12
12
12
12
10
12
8
9
12
12
8
14
10
12
8
11
10
12
12
12
12
8
10
7
10
10
12
11
9
10
12
14
13
10
11
10
10
8
10
10
10
8
8
4
14
8
12
12
10
8
12
12
10
10
12
12
9
11
14
10
8
12
8
10
11
12
10
10
12
8
9
12
8
8
10
10
10
14
10
12
12
13
9
12
12
10
12
6
8
12
10
9
11
11
9
10
15
12
7
7
10
9
10
10
9
12
10
9
12
10
7
12
10
10
12
8
12
10
10
9
8
8
12
12
10
12
10
9
10
10
8
10
12
12
16
10
9
12
12
10
7
12
10
10
6
9
6
18
13
10
12
15
12
12
9
7
12
13
14
13
12
8
8
10
10
8
12
10
12
12
12
9
12
7
12
8
8
12
14
10
5
9
8
13
10
10
14
10
99
10
12
17
14
8
14
12
12
10
10
8
12
12
12
10
12
10
10
12
12
12
12
13
12
8
10
12
8
10
10
12
12
12
12
12
12
14
10
12
14
12
14
12
13
8
12
14
10
10
11
16
12
10
10
99
8
11
12
12
11
10
20
9
14
12
10
12
10
12
12
8
12
12
10
99
12
2
10
10
10
12
12
12
12
88
9
12
14
8
12
10
10
10
7
8
10
1
10
10
9
15
10
12
12
12
11
12
12
14
8
12
12
10
14
8
10
12
10
10
10
12
9
12
11
8
14
12
10
12
10
8
14
12
12
12
8
12
12
10
12
12
12
9
11
10
15
10
9
9
10
7
10
9
10
10
10
15
12
12
10
12
8
12
11
8
14
8
12
10
15
9
13
12
14
12
12
17
10
13
12
12
10
12
10
12
10
10
10
1
8
12
10
10
10
12
12
11
12
8
8
12
12
10
12
9
10
12
12
12
12
10
10
9
12
10
9
12
7
14
10
10
9
10
8
10
12
12
10
9
10
9
12
10
12
10
9
7
12
11
12
9
13
12
12
7
8
12
12
12
11
12
13
10
12
10
12
12
15
12
12
13
10
10
8
11
12
12
12
12
10
10
12
15
12
10
10
7
12
10
11
10
10
10
10
11
7
15
8
10
6
8
9
8
7
10
12
14
11
8
10
8
8
14
12
15
12
12
9
12
12
9
11
15
11
12
7
15
9
10
15
15
8
11
12
10
10
12
7
12
10
11
12
10
10
8
9
8
10
10
14
10
10
12
12
7
12
10
12
9
9
13
14
10
12
12
12
12
12
10
10
8
12
8
14
10
70
12
10
8
8
11
10
8
7
8
50
9
12
12
7
10
8
10
10
10
8
12
7
13
13
8
8
11
6
12
9
12
13
13
12
12
10
8
12
10
10
15
12
10
12
8
8
12
12
10
12
9
12
12
10
9
10
10
10
12
12
12
12
8
10
12
15
10
8
15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
12
12
12
8
8
12
8
12
12
10
10
12
99
8
8
99
10
10
5
9
9
99
9
10
12




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283518&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283518&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.568259983543240.636991557086486
0.026.770731974893840.287685410194831
0.037.01691489011070.0573831583937742
0.047.305369999172280.361635676048002
0.057.821401489336860.249927343801228
0.067.988093445708990.0275535687915285
0.077.999790948480020.000652189031805245
0.087.999998923557862.83560448610976e-06
0.098.000000000709270
0.18.000000435047270
0.118.000029343411060.000132154694485644
0.128.000845902015210.00309038670181812
0.138.011267619143730.0310665189498559
0.148.074807957222060.145878451220691
0.158.268652647211320.334697012403487
0.168.576214866451730.390598448170914
0.178.838351561961110.240113958136822
0.188.961716679303220.0802490362604374
0.198.994953702528250.016324378627482
0.29.004337853428710.0157938109095993
0.219.03037892766930.0707950084365181
0.229.121178810971340.204993557354896
0.239.318874113338850.359845147158609
0.249.587213715912210.388546855513155
0.259.817276035770520.261779988187826
0.269.943346949136070.111460871551305
0.279.98797025532120.0303509590619797
0.289.998268805830450.00533930085140379
0.299.999831765894840.000616985876162215
0.39.999988958345954.74604520124781e-05
0.319.999999509455330
0.329.999999985198920
0.339.999999999695530
0.349.999999999995720
0.359.999999999999950
0.36100
0.3710.00000000000010
0.3810.00000000000830
0.3910.0000000004190
0.410.0000000147670
0.4110.00000036715340
0.4210.00000647126852.79165019522688e-05
0.4310.00008127156320.000321039772451091
0.4410.00073143839490.00252644342668033
0.4510.00474949828370.0138465849683253
0.4610.02244196351840.0534728697879289
0.4710.07805846970870.146212372496975
0.4810.20319669080180.283862158771248
0.4910.40598948064010.395203840056037
0.510.64795104023940.410094448277671
0.5110.87789212048690.363446793503512
0.5211.09018114911390.358046582435015
0.5311.31680037668660.404757974064609
0.5411.56026292524040.404089255920188
0.5511.77264662514120.30360630066362
0.5611.90960608901490.163572524347641
0.5711.97312299252660.0623757948318893
0.5811.99413340394060.0167600539714921
0.5911.99907214861150.00315991050791421
0.611.99989471536540.000431529628834099
0.6111.99999149700112.78406212151032e-05
0.6211.99999951459410
0.6311.99999998053590
0.6411.99999999945510
0.6511.99999999998940
0.6611.99999999999990
0.67120
0.68120
0.69120
0.7120
0.71120
0.72120
0.73120
0.74120
0.75120
0.76120
0.77120
0.7812.00000000000020
0.7912.00000000003310
0.812.00000000419340
0.8112.00000031596410
0.8212.00001391716544.68484260326891e-05
0.8312.00035266008620.00118058033602377
0.8412.00506746427950.0137172191423714
0.8512.0408953650340.0840532513944031
0.8612.18578903149630.262248496755825
0.8712.49005011048730.404094858526664
0.8812.82783454265890.331579264701466
0.8913.11284128969990.308540315776331
0.913.47208117385240.408373700500408
0.9113.82479276654350.266414396033111
0.9213.97647005278210.0644635317440321
0.9314.03135915837990.0703537792307426
0.9414.26755641027770.321361618388181
0.9514.75130699278630.334481361633484
0.9615.09896829852450.252800360585089
0.9717.47464504367143.48940366188006
0.9848.182878955890827.1822951493033
0.9996.62409139235485.75516716908

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.56825998354324 & 0.636991557086486 \tabularnewline
0.02 & 6.77073197489384 & 0.287685410194831 \tabularnewline
0.03 & 7.0169148901107 & 0.0573831583937742 \tabularnewline
0.04 & 7.30536999917228 & 0.361635676048002 \tabularnewline
0.05 & 7.82140148933686 & 0.249927343801228 \tabularnewline
0.06 & 7.98809344570899 & 0.0275535687915285 \tabularnewline
0.07 & 7.99979094848002 & 0.000652189031805245 \tabularnewline
0.08 & 7.99999892355786 & 2.83560448610976e-06 \tabularnewline
0.09 & 8.00000000070927 & 0 \tabularnewline
0.1 & 8.00000043504727 & 0 \tabularnewline
0.11 & 8.00002934341106 & 0.000132154694485644 \tabularnewline
0.12 & 8.00084590201521 & 0.00309038670181812 \tabularnewline
0.13 & 8.01126761914373 & 0.0310665189498559 \tabularnewline
0.14 & 8.07480795722206 & 0.145878451220691 \tabularnewline
0.15 & 8.26865264721132 & 0.334697012403487 \tabularnewline
0.16 & 8.57621486645173 & 0.390598448170914 \tabularnewline
0.17 & 8.83835156196111 & 0.240113958136822 \tabularnewline
0.18 & 8.96171667930322 & 0.0802490362604374 \tabularnewline
0.19 & 8.99495370252825 & 0.016324378627482 \tabularnewline
0.2 & 9.00433785342871 & 0.0157938109095993 \tabularnewline
0.21 & 9.0303789276693 & 0.0707950084365181 \tabularnewline
0.22 & 9.12117881097134 & 0.204993557354896 \tabularnewline
0.23 & 9.31887411333885 & 0.359845147158609 \tabularnewline
0.24 & 9.58721371591221 & 0.388546855513155 \tabularnewline
0.25 & 9.81727603577052 & 0.261779988187826 \tabularnewline
0.26 & 9.94334694913607 & 0.111460871551305 \tabularnewline
0.27 & 9.9879702553212 & 0.0303509590619797 \tabularnewline
0.28 & 9.99826880583045 & 0.00533930085140379 \tabularnewline
0.29 & 9.99983176589484 & 0.000616985876162215 \tabularnewline
0.3 & 9.99998895834595 & 4.74604520124781e-05 \tabularnewline
0.31 & 9.99999950945533 & 0 \tabularnewline
0.32 & 9.99999998519892 & 0 \tabularnewline
0.33 & 9.99999999969553 & 0 \tabularnewline
0.34 & 9.99999999999572 & 0 \tabularnewline
0.35 & 9.99999999999995 & 0 \tabularnewline
0.36 & 10 & 0 \tabularnewline
0.37 & 10.0000000000001 & 0 \tabularnewline
0.38 & 10.0000000000083 & 0 \tabularnewline
0.39 & 10.000000000419 & 0 \tabularnewline
0.4 & 10.000000014767 & 0 \tabularnewline
0.41 & 10.0000003671534 & 0 \tabularnewline
0.42 & 10.0000064712685 & 2.79165019522688e-05 \tabularnewline
0.43 & 10.0000812715632 & 0.000321039772451091 \tabularnewline
0.44 & 10.0007314383949 & 0.00252644342668033 \tabularnewline
0.45 & 10.0047494982837 & 0.0138465849683253 \tabularnewline
0.46 & 10.0224419635184 & 0.0534728697879289 \tabularnewline
0.47 & 10.0780584697087 & 0.146212372496975 \tabularnewline
0.48 & 10.2031966908018 & 0.283862158771248 \tabularnewline
0.49 & 10.4059894806401 & 0.395203840056037 \tabularnewline
0.5 & 10.6479510402394 & 0.410094448277671 \tabularnewline
0.51 & 10.8778921204869 & 0.363446793503512 \tabularnewline
0.52 & 11.0901811491139 & 0.358046582435015 \tabularnewline
0.53 & 11.3168003766866 & 0.404757974064609 \tabularnewline
0.54 & 11.5602629252404 & 0.404089255920188 \tabularnewline
0.55 & 11.7726466251412 & 0.30360630066362 \tabularnewline
0.56 & 11.9096060890149 & 0.163572524347641 \tabularnewline
0.57 & 11.9731229925266 & 0.0623757948318893 \tabularnewline
0.58 & 11.9941334039406 & 0.0167600539714921 \tabularnewline
0.59 & 11.9990721486115 & 0.00315991050791421 \tabularnewline
0.6 & 11.9998947153654 & 0.000431529628834099 \tabularnewline
0.61 & 11.9999914970011 & 2.78406212151032e-05 \tabularnewline
0.62 & 11.9999995145941 & 0 \tabularnewline
0.63 & 11.9999999805359 & 0 \tabularnewline
0.64 & 11.9999999994551 & 0 \tabularnewline
0.65 & 11.9999999999894 & 0 \tabularnewline
0.66 & 11.9999999999999 & 0 \tabularnewline
0.67 & 12 & 0 \tabularnewline
0.68 & 12 & 0 \tabularnewline
0.69 & 12 & 0 \tabularnewline
0.7 & 12 & 0 \tabularnewline
0.71 & 12 & 0 \tabularnewline
0.72 & 12 & 0 \tabularnewline
0.73 & 12 & 0 \tabularnewline
0.74 & 12 & 0 \tabularnewline
0.75 & 12 & 0 \tabularnewline
0.76 & 12 & 0 \tabularnewline
0.77 & 12 & 0 \tabularnewline
0.78 & 12.0000000000002 & 0 \tabularnewline
0.79 & 12.0000000000331 & 0 \tabularnewline
0.8 & 12.0000000041934 & 0 \tabularnewline
0.81 & 12.0000003159641 & 0 \tabularnewline
0.82 & 12.0000139171654 & 4.68484260326891e-05 \tabularnewline
0.83 & 12.0003526600862 & 0.00118058033602377 \tabularnewline
0.84 & 12.0050674642795 & 0.0137172191423714 \tabularnewline
0.85 & 12.040895365034 & 0.0840532513944031 \tabularnewline
0.86 & 12.1857890314963 & 0.262248496755825 \tabularnewline
0.87 & 12.4900501104873 & 0.404094858526664 \tabularnewline
0.88 & 12.8278345426589 & 0.331579264701466 \tabularnewline
0.89 & 13.1128412896999 & 0.308540315776331 \tabularnewline
0.9 & 13.4720811738524 & 0.408373700500408 \tabularnewline
0.91 & 13.8247927665435 & 0.266414396033111 \tabularnewline
0.92 & 13.9764700527821 & 0.0644635317440321 \tabularnewline
0.93 & 14.0313591583799 & 0.0703537792307426 \tabularnewline
0.94 & 14.2675564102777 & 0.321361618388181 \tabularnewline
0.95 & 14.7513069927863 & 0.334481361633484 \tabularnewline
0.96 & 15.0989682985245 & 0.252800360585089 \tabularnewline
0.97 & 17.4746450436714 & 3.48940366188006 \tabularnewline
0.98 & 48.1828789558908 & 27.1822951493033 \tabularnewline
0.99 & 96.6240913923548 & 5.75516716908 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283518&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]5.56825998354324[/C][C]0.636991557086486[/C][/ROW]
[ROW][C]0.02[/C][C]6.77073197489384[/C][C]0.287685410194831[/C][/ROW]
[ROW][C]0.03[/C][C]7.0169148901107[/C][C]0.0573831583937742[/C][/ROW]
[ROW][C]0.04[/C][C]7.30536999917228[/C][C]0.361635676048002[/C][/ROW]
[ROW][C]0.05[/C][C]7.82140148933686[/C][C]0.249927343801228[/C][/ROW]
[ROW][C]0.06[/C][C]7.98809344570899[/C][C]0.0275535687915285[/C][/ROW]
[ROW][C]0.07[/C][C]7.99979094848002[/C][C]0.000652189031805245[/C][/ROW]
[ROW][C]0.08[/C][C]7.99999892355786[/C][C]2.83560448610976e-06[/C][/ROW]
[ROW][C]0.09[/C][C]8.00000000070927[/C][C]0[/C][/ROW]
[ROW][C]0.1[/C][C]8.00000043504727[/C][C]0[/C][/ROW]
[ROW][C]0.11[/C][C]8.00002934341106[/C][C]0.000132154694485644[/C][/ROW]
[ROW][C]0.12[/C][C]8.00084590201521[/C][C]0.00309038670181812[/C][/ROW]
[ROW][C]0.13[/C][C]8.01126761914373[/C][C]0.0310665189498559[/C][/ROW]
[ROW][C]0.14[/C][C]8.07480795722206[/C][C]0.145878451220691[/C][/ROW]
[ROW][C]0.15[/C][C]8.26865264721132[/C][C]0.334697012403487[/C][/ROW]
[ROW][C]0.16[/C][C]8.57621486645173[/C][C]0.390598448170914[/C][/ROW]
[ROW][C]0.17[/C][C]8.83835156196111[/C][C]0.240113958136822[/C][/ROW]
[ROW][C]0.18[/C][C]8.96171667930322[/C][C]0.0802490362604374[/C][/ROW]
[ROW][C]0.19[/C][C]8.99495370252825[/C][C]0.016324378627482[/C][/ROW]
[ROW][C]0.2[/C][C]9.00433785342871[/C][C]0.0157938109095993[/C][/ROW]
[ROW][C]0.21[/C][C]9.0303789276693[/C][C]0.0707950084365181[/C][/ROW]
[ROW][C]0.22[/C][C]9.12117881097134[/C][C]0.204993557354896[/C][/ROW]
[ROW][C]0.23[/C][C]9.31887411333885[/C][C]0.359845147158609[/C][/ROW]
[ROW][C]0.24[/C][C]9.58721371591221[/C][C]0.388546855513155[/C][/ROW]
[ROW][C]0.25[/C][C]9.81727603577052[/C][C]0.261779988187826[/C][/ROW]
[ROW][C]0.26[/C][C]9.94334694913607[/C][C]0.111460871551305[/C][/ROW]
[ROW][C]0.27[/C][C]9.9879702553212[/C][C]0.0303509590619797[/C][/ROW]
[ROW][C]0.28[/C][C]9.99826880583045[/C][C]0.00533930085140379[/C][/ROW]
[ROW][C]0.29[/C][C]9.99983176589484[/C][C]0.000616985876162215[/C][/ROW]
[ROW][C]0.3[/C][C]9.99998895834595[/C][C]4.74604520124781e-05[/C][/ROW]
[ROW][C]0.31[/C][C]9.99999950945533[/C][C]0[/C][/ROW]
[ROW][C]0.32[/C][C]9.99999998519892[/C][C]0[/C][/ROW]
[ROW][C]0.33[/C][C]9.99999999969553[/C][C]0[/C][/ROW]
[ROW][C]0.34[/C][C]9.99999999999572[/C][C]0[/C][/ROW]
[ROW][C]0.35[/C][C]9.99999999999995[/C][C]0[/C][/ROW]
[ROW][C]0.36[/C][C]10[/C][C]0[/C][/ROW]
[ROW][C]0.37[/C][C]10.0000000000001[/C][C]0[/C][/ROW]
[ROW][C]0.38[/C][C]10.0000000000083[/C][C]0[/C][/ROW]
[ROW][C]0.39[/C][C]10.000000000419[/C][C]0[/C][/ROW]
[ROW][C]0.4[/C][C]10.000000014767[/C][C]0[/C][/ROW]
[ROW][C]0.41[/C][C]10.0000003671534[/C][C]0[/C][/ROW]
[ROW][C]0.42[/C][C]10.0000064712685[/C][C]2.79165019522688e-05[/C][/ROW]
[ROW][C]0.43[/C][C]10.0000812715632[/C][C]0.000321039772451091[/C][/ROW]
[ROW][C]0.44[/C][C]10.0007314383949[/C][C]0.00252644342668033[/C][/ROW]
[ROW][C]0.45[/C][C]10.0047494982837[/C][C]0.0138465849683253[/C][/ROW]
[ROW][C]0.46[/C][C]10.0224419635184[/C][C]0.0534728697879289[/C][/ROW]
[ROW][C]0.47[/C][C]10.0780584697087[/C][C]0.146212372496975[/C][/ROW]
[ROW][C]0.48[/C][C]10.2031966908018[/C][C]0.283862158771248[/C][/ROW]
[ROW][C]0.49[/C][C]10.4059894806401[/C][C]0.395203840056037[/C][/ROW]
[ROW][C]0.5[/C][C]10.6479510402394[/C][C]0.410094448277671[/C][/ROW]
[ROW][C]0.51[/C][C]10.8778921204869[/C][C]0.363446793503512[/C][/ROW]
[ROW][C]0.52[/C][C]11.0901811491139[/C][C]0.358046582435015[/C][/ROW]
[ROW][C]0.53[/C][C]11.3168003766866[/C][C]0.404757974064609[/C][/ROW]
[ROW][C]0.54[/C][C]11.5602629252404[/C][C]0.404089255920188[/C][/ROW]
[ROW][C]0.55[/C][C]11.7726466251412[/C][C]0.30360630066362[/C][/ROW]
[ROW][C]0.56[/C][C]11.9096060890149[/C][C]0.163572524347641[/C][/ROW]
[ROW][C]0.57[/C][C]11.9731229925266[/C][C]0.0623757948318893[/C][/ROW]
[ROW][C]0.58[/C][C]11.9941334039406[/C][C]0.0167600539714921[/C][/ROW]
[ROW][C]0.59[/C][C]11.9990721486115[/C][C]0.00315991050791421[/C][/ROW]
[ROW][C]0.6[/C][C]11.9998947153654[/C][C]0.000431529628834099[/C][/ROW]
[ROW][C]0.61[/C][C]11.9999914970011[/C][C]2.78406212151032e-05[/C][/ROW]
[ROW][C]0.62[/C][C]11.9999995145941[/C][C]0[/C][/ROW]
[ROW][C]0.63[/C][C]11.9999999805359[/C][C]0[/C][/ROW]
[ROW][C]0.64[/C][C]11.9999999994551[/C][C]0[/C][/ROW]
[ROW][C]0.65[/C][C]11.9999999999894[/C][C]0[/C][/ROW]
[ROW][C]0.66[/C][C]11.9999999999999[/C][C]0[/C][/ROW]
[ROW][C]0.67[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.68[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.69[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.7[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.71[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.72[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.73[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.74[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.75[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.76[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.77[/C][C]12[/C][C]0[/C][/ROW]
[ROW][C]0.78[/C][C]12.0000000000002[/C][C]0[/C][/ROW]
[ROW][C]0.79[/C][C]12.0000000000331[/C][C]0[/C][/ROW]
[ROW][C]0.8[/C][C]12.0000000041934[/C][C]0[/C][/ROW]
[ROW][C]0.81[/C][C]12.0000003159641[/C][C]0[/C][/ROW]
[ROW][C]0.82[/C][C]12.0000139171654[/C][C]4.68484260326891e-05[/C][/ROW]
[ROW][C]0.83[/C][C]12.0003526600862[/C][C]0.00118058033602377[/C][/ROW]
[ROW][C]0.84[/C][C]12.0050674642795[/C][C]0.0137172191423714[/C][/ROW]
[ROW][C]0.85[/C][C]12.040895365034[/C][C]0.0840532513944031[/C][/ROW]
[ROW][C]0.86[/C][C]12.1857890314963[/C][C]0.262248496755825[/C][/ROW]
[ROW][C]0.87[/C][C]12.4900501104873[/C][C]0.404094858526664[/C][/ROW]
[ROW][C]0.88[/C][C]12.8278345426589[/C][C]0.331579264701466[/C][/ROW]
[ROW][C]0.89[/C][C]13.1128412896999[/C][C]0.308540315776331[/C][/ROW]
[ROW][C]0.9[/C][C]13.4720811738524[/C][C]0.408373700500408[/C][/ROW]
[ROW][C]0.91[/C][C]13.8247927665435[/C][C]0.266414396033111[/C][/ROW]
[ROW][C]0.92[/C][C]13.9764700527821[/C][C]0.0644635317440321[/C][/ROW]
[ROW][C]0.93[/C][C]14.0313591583799[/C][C]0.0703537792307426[/C][/ROW]
[ROW][C]0.94[/C][C]14.2675564102777[/C][C]0.321361618388181[/C][/ROW]
[ROW][C]0.95[/C][C]14.7513069927863[/C][C]0.334481361633484[/C][/ROW]
[ROW][C]0.96[/C][C]15.0989682985245[/C][C]0.252800360585089[/C][/ROW]
[ROW][C]0.97[/C][C]17.4746450436714[/C][C]3.48940366188006[/C][/ROW]
[ROW][C]0.98[/C][C]48.1828789558908[/C][C]27.1822951493033[/C][/ROW]
[ROW][C]0.99[/C][C]96.6240913923548[/C][C]5.75516716908[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283518&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.568259983543240.636991557086486
0.026.770731974893840.287685410194831
0.037.01691489011070.0573831583937742
0.047.305369999172280.361635676048002
0.057.821401489336860.249927343801228
0.067.988093445708990.0275535687915285
0.077.999790948480020.000652189031805245
0.087.999998923557862.83560448610976e-06
0.098.000000000709270
0.18.000000435047270
0.118.000029343411060.000132154694485644
0.128.000845902015210.00309038670181812
0.138.011267619143730.0310665189498559
0.148.074807957222060.145878451220691
0.158.268652647211320.334697012403487
0.168.576214866451730.390598448170914
0.178.838351561961110.240113958136822
0.188.961716679303220.0802490362604374
0.198.994953702528250.016324378627482
0.29.004337853428710.0157938109095993
0.219.03037892766930.0707950084365181
0.229.121178810971340.204993557354896
0.239.318874113338850.359845147158609
0.249.587213715912210.388546855513155
0.259.817276035770520.261779988187826
0.269.943346949136070.111460871551305
0.279.98797025532120.0303509590619797
0.289.998268805830450.00533930085140379
0.299.999831765894840.000616985876162215
0.39.999988958345954.74604520124781e-05
0.319.999999509455330
0.329.999999985198920
0.339.999999999695530
0.349.999999999995720
0.359.999999999999950
0.36100
0.3710.00000000000010
0.3810.00000000000830
0.3910.0000000004190
0.410.0000000147670
0.4110.00000036715340
0.4210.00000647126852.79165019522688e-05
0.4310.00008127156320.000321039772451091
0.4410.00073143839490.00252644342668033
0.4510.00474949828370.0138465849683253
0.4610.02244196351840.0534728697879289
0.4710.07805846970870.146212372496975
0.4810.20319669080180.283862158771248
0.4910.40598948064010.395203840056037
0.510.64795104023940.410094448277671
0.5110.87789212048690.363446793503512
0.5211.09018114911390.358046582435015
0.5311.31680037668660.404757974064609
0.5411.56026292524040.404089255920188
0.5511.77264662514120.30360630066362
0.5611.90960608901490.163572524347641
0.5711.97312299252660.0623757948318893
0.5811.99413340394060.0167600539714921
0.5911.99907214861150.00315991050791421
0.611.99989471536540.000431529628834099
0.6111.99999149700112.78406212151032e-05
0.6211.99999951459410
0.6311.99999998053590
0.6411.99999999945510
0.6511.99999999998940
0.6611.99999999999990
0.67120
0.68120
0.69120
0.7120
0.71120
0.72120
0.73120
0.74120
0.75120
0.76120
0.77120
0.7812.00000000000020
0.7912.00000000003310
0.812.00000000419340
0.8112.00000031596410
0.8212.00001391716544.68484260326891e-05
0.8312.00035266008620.00118058033602377
0.8412.00506746427950.0137172191423714
0.8512.0408953650340.0840532513944031
0.8612.18578903149630.262248496755825
0.8712.49005011048730.404094858526664
0.8812.82783454265890.331579264701466
0.8913.11284128969990.308540315776331
0.913.47208117385240.408373700500408
0.9113.82479276654350.266414396033111
0.9213.97647005278210.0644635317440321
0.9314.03135915837990.0703537792307426
0.9414.26755641027770.321361618388181
0.9514.75130699278630.334481361633484
0.9615.09896829852450.252800360585089
0.9717.47464504367143.48940366188006
0.9848.182878955890827.1822951493033
0.9996.62409139235485.75516716908



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')