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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Feb 2014 05:20:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392546054upitoz6st1yaffs.htm/, Retrieved Wed, 15 May 2024 12:02:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233722, Retrieved Wed, 15 May 2024 12:02:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [HD Percentielen g...] [2014-02-16 10:20:05] [1195732e18620915cb775ad7ef5494bd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
227.81
227.81
227.01
227.26
227.1
227.59
227.59
227.7
227.75
226.33
225.95
226.33
226.33
226.22
224.84
221.88
222.37
221.8
221.8
221.8
221.9
220.2
219.95
220.05
220.05
220.05
220.62
221.53
221.61
221.5
221.5
221.87
222.27
220.86
221.49
221.67
221.67
221.72
221.67
220.29
220.75
219.59
219.59
219.59
219.82
221.59
220.9
221.01
221.01
219.69
221
219.82
218.04
217.97
217.97
217.53
217
217.18
217.68
217.71
217.71
218.5
218.8
218.94
220
219.89
219.89
220.08
220.16
221
222.16
221.5
221.5
221.6
221.85
223.11
222.79
222.45
222.45
222.4
223.15
224.4
224.24
223.92

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'Gertrude Mary Cox' @ cox.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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233722&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233722&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233722&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01217.0954119350930.218791126378431
0.02217.2510074829330.256133209374232
0.03217.4129175239260.246623432268818
0.04217.5532809284030.217679825881901
0.05217.670474996020.21020849798457
0.06217.7760134673270.239768561467333
0.07217.8836685622460.298974979770297
0.08218.0037959972830.374717244301409
0.09218.1416642717920.455061778663253
0.1218.2977344704840.528105439150882
0.11218.4685864407950.583135315261866
0.12218.6480846820440.612471450098804
0.13218.8287251333910.613286068308358
0.14219.0030361583760.587650005244702
0.15219.1647836168510.541195381261049
0.16219.3097432257610.482211466424589
0.17219.4359414798640.418434533433953
0.18219.5434307462610.357257332292083
0.19219.6337731076680.303290384344342
0.2219.7094335277970.258573774050031
0.21219.7732422707950.224088221781937
0.22219.8280142106530.199507107194133
0.23219.8763415381230.183741490601086
0.24219.9205264838840.176166249180783
0.25219.9625978848680.176313952989572
0.26220.0043554835150.18383144241631
0.27220.0474002039110.198093512466568
0.28220.0931288911760.218411391139526
0.29220.1426919135410.243638179699779
0.3220.1969276629910.271716072163094
0.31220.2562970477820.300939220057209
0.32220.3208425127630.328655688031164
0.33220.3901902646860.353018214410686
0.34220.4636030800480.372311937773817
0.35220.5400775833270.385876211119921
0.36220.6184681217150.392940238592609
0.37220.6976127835650.394178719711011
0.38220.7764375880770.390656446551678
0.39220.854022069810.382954137200532
0.4220.929620941010.372644281375867
0.41221.0026485228810.359749137765357
0.42221.0726414920450.344968583172655
0.43221.1392187354480.328490783504479
0.44221.2020542840160.310466253305002
0.45221.2608719433160.290435339873204
0.46221.3154612126040.269135014473887
0.47221.3657064611680.246795703505853
0.48221.4116173580710.224470757549815
0.49221.4533489928430.202849671292411
0.5221.4912042151930.183049538989805
0.51221.5256166545040.166090918757169
0.52221.5571185703530.152052226892307
0.53221.5863014898560.141165248437289
0.54221.6137787240610.133541329053405
0.55221.6401574438670.129185461503255
0.56221.6660248021690.127867873701801
0.57221.6919486537520.128867130645314
0.58221.7184897499810.132827723682839
0.59221.7462196704930.139324875967653
0.6221.7757377537550.148660224773031
0.61221.807681208050.161262710035704
0.62221.842725418650.177503849096336
0.63221.8815757693180.196638596930564
0.64221.92495706210.219261031322966
0.65221.9736103259410.244493645762436
0.66222.0283077307450.272712452701944
0.67222.089893150150.303980411120273
0.68222.1593484354360.338908361097001
0.69222.2378750724130.378613714038054
0.7222.3269705320560.424656708760092
0.71222.4284719681720.478732009353929
0.72222.5445399697620.541861250706386
0.73222.677562726490.614865501487184
0.74222.8299742338250.697289251265228
0.75223.0039948635620.786707336010833
0.76223.2013145099830.880093964619568
0.77223.4227460876440.97279026664721
0.78223.6678833284151.058992053703
0.79223.9348075639981.13236717154208
0.8224.219907236411.18594984313432
0.81224.5178956608761.21368282598938
0.82224.8221182425871.21045249728187
0.83225.1252033801631.17434538396924
0.84225.4200147538961.10820431690421
0.85225.7007217389841.019061380657
0.86225.9636776864260.91811903904514
0.87226.2077668613870.817889104600562
0.88226.4340111670320.728018666834219
0.89226.6445012366480.65244737886017
0.9226.8410222342260.587737199946503
0.91227.0239252864720.526265305742578
0.92227.1917374954910.460809109683986
0.93227.3417056984950.388015096767754
0.94227.4710389868870.310007079100992
0.95227.5782160371030.233243124238431
0.96227.663544860680.165204313492086
0.97227.7284479133520.110055146586384
0.98227.7739573535560.0654145584162605
0.99227.8003795829140.0267261812502392

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 217.095411935093 & 0.218791126378431 \tabularnewline
0.02 & 217.251007482933 & 0.256133209374232 \tabularnewline
0.03 & 217.412917523926 & 0.246623432268818 \tabularnewline
0.04 & 217.553280928403 & 0.217679825881901 \tabularnewline
0.05 & 217.67047499602 & 0.21020849798457 \tabularnewline
0.06 & 217.776013467327 & 0.239768561467333 \tabularnewline
0.07 & 217.883668562246 & 0.298974979770297 \tabularnewline
0.08 & 218.003795997283 & 0.374717244301409 \tabularnewline
0.09 & 218.141664271792 & 0.455061778663253 \tabularnewline
0.1 & 218.297734470484 & 0.528105439150882 \tabularnewline
0.11 & 218.468586440795 & 0.583135315261866 \tabularnewline
0.12 & 218.648084682044 & 0.612471450098804 \tabularnewline
0.13 & 218.828725133391 & 0.613286068308358 \tabularnewline
0.14 & 219.003036158376 & 0.587650005244702 \tabularnewline
0.15 & 219.164783616851 & 0.541195381261049 \tabularnewline
0.16 & 219.309743225761 & 0.482211466424589 \tabularnewline
0.17 & 219.435941479864 & 0.418434533433953 \tabularnewline
0.18 & 219.543430746261 & 0.357257332292083 \tabularnewline
0.19 & 219.633773107668 & 0.303290384344342 \tabularnewline
0.2 & 219.709433527797 & 0.258573774050031 \tabularnewline
0.21 & 219.773242270795 & 0.224088221781937 \tabularnewline
0.22 & 219.828014210653 & 0.199507107194133 \tabularnewline
0.23 & 219.876341538123 & 0.183741490601086 \tabularnewline
0.24 & 219.920526483884 & 0.176166249180783 \tabularnewline
0.25 & 219.962597884868 & 0.176313952989572 \tabularnewline
0.26 & 220.004355483515 & 0.18383144241631 \tabularnewline
0.27 & 220.047400203911 & 0.198093512466568 \tabularnewline
0.28 & 220.093128891176 & 0.218411391139526 \tabularnewline
0.29 & 220.142691913541 & 0.243638179699779 \tabularnewline
0.3 & 220.196927662991 & 0.271716072163094 \tabularnewline
0.31 & 220.256297047782 & 0.300939220057209 \tabularnewline
0.32 & 220.320842512763 & 0.328655688031164 \tabularnewline
0.33 & 220.390190264686 & 0.353018214410686 \tabularnewline
0.34 & 220.463603080048 & 0.372311937773817 \tabularnewline
0.35 & 220.540077583327 & 0.385876211119921 \tabularnewline
0.36 & 220.618468121715 & 0.392940238592609 \tabularnewline
0.37 & 220.697612783565 & 0.394178719711011 \tabularnewline
0.38 & 220.776437588077 & 0.390656446551678 \tabularnewline
0.39 & 220.85402206981 & 0.382954137200532 \tabularnewline
0.4 & 220.92962094101 & 0.372644281375867 \tabularnewline
0.41 & 221.002648522881 & 0.359749137765357 \tabularnewline
0.42 & 221.072641492045 & 0.344968583172655 \tabularnewline
0.43 & 221.139218735448 & 0.328490783504479 \tabularnewline
0.44 & 221.202054284016 & 0.310466253305002 \tabularnewline
0.45 & 221.260871943316 & 0.290435339873204 \tabularnewline
0.46 & 221.315461212604 & 0.269135014473887 \tabularnewline
0.47 & 221.365706461168 & 0.246795703505853 \tabularnewline
0.48 & 221.411617358071 & 0.224470757549815 \tabularnewline
0.49 & 221.453348992843 & 0.202849671292411 \tabularnewline
0.5 & 221.491204215193 & 0.183049538989805 \tabularnewline
0.51 & 221.525616654504 & 0.166090918757169 \tabularnewline
0.52 & 221.557118570353 & 0.152052226892307 \tabularnewline
0.53 & 221.586301489856 & 0.141165248437289 \tabularnewline
0.54 & 221.613778724061 & 0.133541329053405 \tabularnewline
0.55 & 221.640157443867 & 0.129185461503255 \tabularnewline
0.56 & 221.666024802169 & 0.127867873701801 \tabularnewline
0.57 & 221.691948653752 & 0.128867130645314 \tabularnewline
0.58 & 221.718489749981 & 0.132827723682839 \tabularnewline
0.59 & 221.746219670493 & 0.139324875967653 \tabularnewline
0.6 & 221.775737753755 & 0.148660224773031 \tabularnewline
0.61 & 221.80768120805 & 0.161262710035704 \tabularnewline
0.62 & 221.84272541865 & 0.177503849096336 \tabularnewline
0.63 & 221.881575769318 & 0.196638596930564 \tabularnewline
0.64 & 221.9249570621 & 0.219261031322966 \tabularnewline
0.65 & 221.973610325941 & 0.244493645762436 \tabularnewline
0.66 & 222.028307730745 & 0.272712452701944 \tabularnewline
0.67 & 222.08989315015 & 0.303980411120273 \tabularnewline
0.68 & 222.159348435436 & 0.338908361097001 \tabularnewline
0.69 & 222.237875072413 & 0.378613714038054 \tabularnewline
0.7 & 222.326970532056 & 0.424656708760092 \tabularnewline
0.71 & 222.428471968172 & 0.478732009353929 \tabularnewline
0.72 & 222.544539969762 & 0.541861250706386 \tabularnewline
0.73 & 222.67756272649 & 0.614865501487184 \tabularnewline
0.74 & 222.829974233825 & 0.697289251265228 \tabularnewline
0.75 & 223.003994863562 & 0.786707336010833 \tabularnewline
0.76 & 223.201314509983 & 0.880093964619568 \tabularnewline
0.77 & 223.422746087644 & 0.97279026664721 \tabularnewline
0.78 & 223.667883328415 & 1.058992053703 \tabularnewline
0.79 & 223.934807563998 & 1.13236717154208 \tabularnewline
0.8 & 224.21990723641 & 1.18594984313432 \tabularnewline
0.81 & 224.517895660876 & 1.21368282598938 \tabularnewline
0.82 & 224.822118242587 & 1.21045249728187 \tabularnewline
0.83 & 225.125203380163 & 1.17434538396924 \tabularnewline
0.84 & 225.420014753896 & 1.10820431690421 \tabularnewline
0.85 & 225.700721738984 & 1.019061380657 \tabularnewline
0.86 & 225.963677686426 & 0.91811903904514 \tabularnewline
0.87 & 226.207766861387 & 0.817889104600562 \tabularnewline
0.88 & 226.434011167032 & 0.728018666834219 \tabularnewline
0.89 & 226.644501236648 & 0.65244737886017 \tabularnewline
0.9 & 226.841022234226 & 0.587737199946503 \tabularnewline
0.91 & 227.023925286472 & 0.526265305742578 \tabularnewline
0.92 & 227.191737495491 & 0.460809109683986 \tabularnewline
0.93 & 227.341705698495 & 0.388015096767754 \tabularnewline
0.94 & 227.471038986887 & 0.310007079100992 \tabularnewline
0.95 & 227.578216037103 & 0.233243124238431 \tabularnewline
0.96 & 227.66354486068 & 0.165204313492086 \tabularnewline
0.97 & 227.728447913352 & 0.110055146586384 \tabularnewline
0.98 & 227.773957353556 & 0.0654145584162605 \tabularnewline
0.99 & 227.800379582914 & 0.0267261812502392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233722&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]217.095411935093[/C][C]0.218791126378431[/C][/ROW]
[ROW][C]0.02[/C][C]217.251007482933[/C][C]0.256133209374232[/C][/ROW]
[ROW][C]0.03[/C][C]217.412917523926[/C][C]0.246623432268818[/C][/ROW]
[ROW][C]0.04[/C][C]217.553280928403[/C][C]0.217679825881901[/C][/ROW]
[ROW][C]0.05[/C][C]217.67047499602[/C][C]0.21020849798457[/C][/ROW]
[ROW][C]0.06[/C][C]217.776013467327[/C][C]0.239768561467333[/C][/ROW]
[ROW][C]0.07[/C][C]217.883668562246[/C][C]0.298974979770297[/C][/ROW]
[ROW][C]0.08[/C][C]218.003795997283[/C][C]0.374717244301409[/C][/ROW]
[ROW][C]0.09[/C][C]218.141664271792[/C][C]0.455061778663253[/C][/ROW]
[ROW][C]0.1[/C][C]218.297734470484[/C][C]0.528105439150882[/C][/ROW]
[ROW][C]0.11[/C][C]218.468586440795[/C][C]0.583135315261866[/C][/ROW]
[ROW][C]0.12[/C][C]218.648084682044[/C][C]0.612471450098804[/C][/ROW]
[ROW][C]0.13[/C][C]218.828725133391[/C][C]0.613286068308358[/C][/ROW]
[ROW][C]0.14[/C][C]219.003036158376[/C][C]0.587650005244702[/C][/ROW]
[ROW][C]0.15[/C][C]219.164783616851[/C][C]0.541195381261049[/C][/ROW]
[ROW][C]0.16[/C][C]219.309743225761[/C][C]0.482211466424589[/C][/ROW]
[ROW][C]0.17[/C][C]219.435941479864[/C][C]0.418434533433953[/C][/ROW]
[ROW][C]0.18[/C][C]219.543430746261[/C][C]0.357257332292083[/C][/ROW]
[ROW][C]0.19[/C][C]219.633773107668[/C][C]0.303290384344342[/C][/ROW]
[ROW][C]0.2[/C][C]219.709433527797[/C][C]0.258573774050031[/C][/ROW]
[ROW][C]0.21[/C][C]219.773242270795[/C][C]0.224088221781937[/C][/ROW]
[ROW][C]0.22[/C][C]219.828014210653[/C][C]0.199507107194133[/C][/ROW]
[ROW][C]0.23[/C][C]219.876341538123[/C][C]0.183741490601086[/C][/ROW]
[ROW][C]0.24[/C][C]219.920526483884[/C][C]0.176166249180783[/C][/ROW]
[ROW][C]0.25[/C][C]219.962597884868[/C][C]0.176313952989572[/C][/ROW]
[ROW][C]0.26[/C][C]220.004355483515[/C][C]0.18383144241631[/C][/ROW]
[ROW][C]0.27[/C][C]220.047400203911[/C][C]0.198093512466568[/C][/ROW]
[ROW][C]0.28[/C][C]220.093128891176[/C][C]0.218411391139526[/C][/ROW]
[ROW][C]0.29[/C][C]220.142691913541[/C][C]0.243638179699779[/C][/ROW]
[ROW][C]0.3[/C][C]220.196927662991[/C][C]0.271716072163094[/C][/ROW]
[ROW][C]0.31[/C][C]220.256297047782[/C][C]0.300939220057209[/C][/ROW]
[ROW][C]0.32[/C][C]220.320842512763[/C][C]0.328655688031164[/C][/ROW]
[ROW][C]0.33[/C][C]220.390190264686[/C][C]0.353018214410686[/C][/ROW]
[ROW][C]0.34[/C][C]220.463603080048[/C][C]0.372311937773817[/C][/ROW]
[ROW][C]0.35[/C][C]220.540077583327[/C][C]0.385876211119921[/C][/ROW]
[ROW][C]0.36[/C][C]220.618468121715[/C][C]0.392940238592609[/C][/ROW]
[ROW][C]0.37[/C][C]220.697612783565[/C][C]0.394178719711011[/C][/ROW]
[ROW][C]0.38[/C][C]220.776437588077[/C][C]0.390656446551678[/C][/ROW]
[ROW][C]0.39[/C][C]220.85402206981[/C][C]0.382954137200532[/C][/ROW]
[ROW][C]0.4[/C][C]220.92962094101[/C][C]0.372644281375867[/C][/ROW]
[ROW][C]0.41[/C][C]221.002648522881[/C][C]0.359749137765357[/C][/ROW]
[ROW][C]0.42[/C][C]221.072641492045[/C][C]0.344968583172655[/C][/ROW]
[ROW][C]0.43[/C][C]221.139218735448[/C][C]0.328490783504479[/C][/ROW]
[ROW][C]0.44[/C][C]221.202054284016[/C][C]0.310466253305002[/C][/ROW]
[ROW][C]0.45[/C][C]221.260871943316[/C][C]0.290435339873204[/C][/ROW]
[ROW][C]0.46[/C][C]221.315461212604[/C][C]0.269135014473887[/C][/ROW]
[ROW][C]0.47[/C][C]221.365706461168[/C][C]0.246795703505853[/C][/ROW]
[ROW][C]0.48[/C][C]221.411617358071[/C][C]0.224470757549815[/C][/ROW]
[ROW][C]0.49[/C][C]221.453348992843[/C][C]0.202849671292411[/C][/ROW]
[ROW][C]0.5[/C][C]221.491204215193[/C][C]0.183049538989805[/C][/ROW]
[ROW][C]0.51[/C][C]221.525616654504[/C][C]0.166090918757169[/C][/ROW]
[ROW][C]0.52[/C][C]221.557118570353[/C][C]0.152052226892307[/C][/ROW]
[ROW][C]0.53[/C][C]221.586301489856[/C][C]0.141165248437289[/C][/ROW]
[ROW][C]0.54[/C][C]221.613778724061[/C][C]0.133541329053405[/C][/ROW]
[ROW][C]0.55[/C][C]221.640157443867[/C][C]0.129185461503255[/C][/ROW]
[ROW][C]0.56[/C][C]221.666024802169[/C][C]0.127867873701801[/C][/ROW]
[ROW][C]0.57[/C][C]221.691948653752[/C][C]0.128867130645314[/C][/ROW]
[ROW][C]0.58[/C][C]221.718489749981[/C][C]0.132827723682839[/C][/ROW]
[ROW][C]0.59[/C][C]221.746219670493[/C][C]0.139324875967653[/C][/ROW]
[ROW][C]0.6[/C][C]221.775737753755[/C][C]0.148660224773031[/C][/ROW]
[ROW][C]0.61[/C][C]221.80768120805[/C][C]0.161262710035704[/C][/ROW]
[ROW][C]0.62[/C][C]221.84272541865[/C][C]0.177503849096336[/C][/ROW]
[ROW][C]0.63[/C][C]221.881575769318[/C][C]0.196638596930564[/C][/ROW]
[ROW][C]0.64[/C][C]221.9249570621[/C][C]0.219261031322966[/C][/ROW]
[ROW][C]0.65[/C][C]221.973610325941[/C][C]0.244493645762436[/C][/ROW]
[ROW][C]0.66[/C][C]222.028307730745[/C][C]0.272712452701944[/C][/ROW]
[ROW][C]0.67[/C][C]222.08989315015[/C][C]0.303980411120273[/C][/ROW]
[ROW][C]0.68[/C][C]222.159348435436[/C][C]0.338908361097001[/C][/ROW]
[ROW][C]0.69[/C][C]222.237875072413[/C][C]0.378613714038054[/C][/ROW]
[ROW][C]0.7[/C][C]222.326970532056[/C][C]0.424656708760092[/C][/ROW]
[ROW][C]0.71[/C][C]222.428471968172[/C][C]0.478732009353929[/C][/ROW]
[ROW][C]0.72[/C][C]222.544539969762[/C][C]0.541861250706386[/C][/ROW]
[ROW][C]0.73[/C][C]222.67756272649[/C][C]0.614865501487184[/C][/ROW]
[ROW][C]0.74[/C][C]222.829974233825[/C][C]0.697289251265228[/C][/ROW]
[ROW][C]0.75[/C][C]223.003994863562[/C][C]0.786707336010833[/C][/ROW]
[ROW][C]0.76[/C][C]223.201314509983[/C][C]0.880093964619568[/C][/ROW]
[ROW][C]0.77[/C][C]223.422746087644[/C][C]0.97279026664721[/C][/ROW]
[ROW][C]0.78[/C][C]223.667883328415[/C][C]1.058992053703[/C][/ROW]
[ROW][C]0.79[/C][C]223.934807563998[/C][C]1.13236717154208[/C][/ROW]
[ROW][C]0.8[/C][C]224.21990723641[/C][C]1.18594984313432[/C][/ROW]
[ROW][C]0.81[/C][C]224.517895660876[/C][C]1.21368282598938[/C][/ROW]
[ROW][C]0.82[/C][C]224.822118242587[/C][C]1.21045249728187[/C][/ROW]
[ROW][C]0.83[/C][C]225.125203380163[/C][C]1.17434538396924[/C][/ROW]
[ROW][C]0.84[/C][C]225.420014753896[/C][C]1.10820431690421[/C][/ROW]
[ROW][C]0.85[/C][C]225.700721738984[/C][C]1.019061380657[/C][/ROW]
[ROW][C]0.86[/C][C]225.963677686426[/C][C]0.91811903904514[/C][/ROW]
[ROW][C]0.87[/C][C]226.207766861387[/C][C]0.817889104600562[/C][/ROW]
[ROW][C]0.88[/C][C]226.434011167032[/C][C]0.728018666834219[/C][/ROW]
[ROW][C]0.89[/C][C]226.644501236648[/C][C]0.65244737886017[/C][/ROW]
[ROW][C]0.9[/C][C]226.841022234226[/C][C]0.587737199946503[/C][/ROW]
[ROW][C]0.91[/C][C]227.023925286472[/C][C]0.526265305742578[/C][/ROW]
[ROW][C]0.92[/C][C]227.191737495491[/C][C]0.460809109683986[/C][/ROW]
[ROW][C]0.93[/C][C]227.341705698495[/C][C]0.388015096767754[/C][/ROW]
[ROW][C]0.94[/C][C]227.471038986887[/C][C]0.310007079100992[/C][/ROW]
[ROW][C]0.95[/C][C]227.578216037103[/C][C]0.233243124238431[/C][/ROW]
[ROW][C]0.96[/C][C]227.66354486068[/C][C]0.165204313492086[/C][/ROW]
[ROW][C]0.97[/C][C]227.728447913352[/C][C]0.110055146586384[/C][/ROW]
[ROW][C]0.98[/C][C]227.773957353556[/C][C]0.0654145584162605[/C][/ROW]
[ROW][C]0.99[/C][C]227.800379582914[/C][C]0.0267261812502392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233722&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233722&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
0.01217.0954119350930.218791126378431
0.02217.2510074829330.256133209374232
0.03217.4129175239260.246623432268818
0.04217.5532809284030.217679825881901
0.05217.670474996020.21020849798457
0.06217.7760134673270.239768561467333
0.07217.8836685622460.298974979770297
0.08218.0037959972830.374717244301409
0.09218.1416642717920.455061778663253
0.1218.2977344704840.528105439150882
0.11218.4685864407950.583135315261866
0.12218.6480846820440.612471450098804
0.13218.8287251333910.613286068308358
0.14219.0030361583760.587650005244702
0.15219.1647836168510.541195381261049
0.16219.3097432257610.482211466424589
0.17219.4359414798640.418434533433953
0.18219.5434307462610.357257332292083
0.19219.6337731076680.303290384344342
0.2219.7094335277970.258573774050031
0.21219.7732422707950.224088221781937
0.22219.8280142106530.199507107194133
0.23219.8763415381230.183741490601086
0.24219.9205264838840.176166249180783
0.25219.9625978848680.176313952989572
0.26220.0043554835150.18383144241631
0.27220.0474002039110.198093512466568
0.28220.0931288911760.218411391139526
0.29220.1426919135410.243638179699779
0.3220.1969276629910.271716072163094
0.31220.2562970477820.300939220057209
0.32220.3208425127630.328655688031164
0.33220.3901902646860.353018214410686
0.34220.4636030800480.372311937773817
0.35220.5400775833270.385876211119921
0.36220.6184681217150.392940238592609
0.37220.6976127835650.394178719711011
0.38220.7764375880770.390656446551678
0.39220.854022069810.382954137200532
0.4220.929620941010.372644281375867
0.41221.0026485228810.359749137765357
0.42221.0726414920450.344968583172655
0.43221.1392187354480.328490783504479
0.44221.2020542840160.310466253305002
0.45221.2608719433160.290435339873204
0.46221.3154612126040.269135014473887
0.47221.3657064611680.246795703505853
0.48221.4116173580710.224470757549815
0.49221.4533489928430.202849671292411
0.5221.4912042151930.183049538989805
0.51221.5256166545040.166090918757169
0.52221.5571185703530.152052226892307
0.53221.5863014898560.141165248437289
0.54221.6137787240610.133541329053405
0.55221.6401574438670.129185461503255
0.56221.6660248021690.127867873701801
0.57221.6919486537520.128867130645314
0.58221.7184897499810.132827723682839
0.59221.7462196704930.139324875967653
0.6221.7757377537550.148660224773031
0.61221.807681208050.161262710035704
0.62221.842725418650.177503849096336
0.63221.8815757693180.196638596930564
0.64221.92495706210.219261031322966
0.65221.9736103259410.244493645762436
0.66222.0283077307450.272712452701944
0.67222.089893150150.303980411120273
0.68222.1593484354360.338908361097001
0.69222.2378750724130.378613714038054
0.7222.3269705320560.424656708760092
0.71222.4284719681720.478732009353929
0.72222.5445399697620.541861250706386
0.73222.677562726490.614865501487184
0.74222.8299742338250.697289251265228
0.75223.0039948635620.786707336010833
0.76223.2013145099830.880093964619568
0.77223.4227460876440.97279026664721
0.78223.6678833284151.058992053703
0.79223.9348075639981.13236717154208
0.8224.219907236411.18594984313432
0.81224.5178956608761.21368282598938
0.82224.8221182425871.21045249728187
0.83225.1252033801631.17434538396924
0.84225.4200147538961.10820431690421
0.85225.7007217389841.019061380657
0.86225.9636776864260.91811903904514
0.87226.2077668613870.817889104600562
0.88226.4340111670320.728018666834219
0.89226.6445012366480.65244737886017
0.9226.8410222342260.587737199946503
0.91227.0239252864720.526265305742578
0.92227.1917374954910.460809109683986
0.93227.3417056984950.388015096767754
0.94227.4710389868870.310007079100992
0.95227.5782160371030.233243124238431
0.96227.663544860680.165204313492086
0.97227.7284479133520.110055146586384
0.98227.7739573535560.0654145584162605
0.99227.8003795829140.0267261812502392


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')