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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 computationFri, 04 Dec 2009 08:59:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259942466c7xggo3dd8cj8j5.htm/, Retrieved Sun, 28 Apr 2024 16:25:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63814, Retrieved Sun, 28 Apr 2024 16:25:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD        [(Partial) Autocorrelation Function] [Ws 8.2] [2009-11-25 19:27:18] [830e13ac5e5ac1e5b21c6af0c149b21d]
-   PD          [(Partial) Autocorrelation Function] [WS 9 ACF] [2009-12-04 15:17:34] [830e13ac5e5ac1e5b21c6af0c149b21d]
- RMPD              [Harrell-Davis Quantiles] [Ws 9 Harrel Davis] [2009-12-04 15:59:51] [51118f1042b56b16d340924f16263174] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0999999358500672
-3.34537991532998
-1.62846400982366
10.6812809214646
13.2825011900209
-18.6736716427229
10.7096677693555
2.04961204104238
9.1204841384269
-7.56482364457695
-5.24700086351533
6.64249905773025
-11.5566665251281
-2.6973152179462
-1.18076251316141
4.63564509879439
8.10285858149781
-2.7705708219563
1.57284332720897
3.31069360539321
22.3408421294330
-22.6551059181226
7.27176172356607
-0.099772547518782
-10.6952695311238
-2.35534469415514
0.932707122913016
26.6532889055699
3.44882443854920
-6.33669243518078
-9.48020249811013
-2.6345965372044
13.6020985812438
2.55813277021340
16.4990835874707
-8.34975231703376
-4.74797377022293
-22.5820000220009
12.0851341143021
24.0507814420286
-2.80263731887658
-21.9666866046142
-6.88357481523707
-12.3261161623532
24.4853067349027
19.8474369491513
7.55724963172844
8.28909320685406
3.87642821675917
-26.3817616627469
12.9004643499501
-4.10721088862945
-10.4955670678746
7.50198292358138
-29.2775026301298
-10.8774144391601
12.3049276483992
-13.4408639898971
-16.8706814738245
11.5488683322063

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=63814&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=63814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63814&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
0.005-28.95073910945732.85345586825755
0.015-27.87751857266112.87402370235456
0.025-26.51130399067792.84598639991919
0.035-25.12505217360232.73385319284573
0.045-23.84785540329212.64552559502479
0.055-22.69003933081762.71848699193896
0.065-21.60677969997472.97086534245148
0.075-20.54792727152753.30687667660755
0.085-19.48324768173263.61305509696178
0.095-18.40806073361523.81192776805235
0.105-17.33747713712303.86994335821870
0.115-16.29642496613233.78963955724471
0.125-15.31030018174293.59773746805281
0.135-14.39857851292583.33346819656433
0.145-13.57182343511593.03885942827774
0.155-12.83146498120712.75194507785095
0.165-12.17136305774582.50236216838186
0.175-11.58022124577692.30901431411257
0.185-11.04414046740672.17921848650322
0.195-10.54885425250112.10966962963174
0.205-10.08140680473962.08926335000899
0.215-9.631203321991172.10306755114407
0.225-9.190478370169882.13593497077397
0.235-8.754297557421442.17484457623019
0.245-8.320237440371762.20982031525018
0.255-7.887887117080262.23405982625055
0.265-7.458292009110152.24345636148112
0.275-7.033425860959062.23608775561779
0.285-6.61574009203832.21159296615154
0.295-6.207807501801282.17070100735606
0.305-5.812054462143742.11497877503333
0.315-5.430563743794482.04662611621394
0.325-5.064928042265471.9684615999192
0.335-4.716139289783811.88390876539590
0.345-4.3845073049711.79699430464796
0.355-4.069609692333321.71224070336412
0.365-3.770280461200491.63446750964894
0.375-3.484646156943951.56847904267754
0.385-3.210215288584581.51858936402214
0.395-2.944020513413401.48810163393502
0.405-2.682805126559151.47879615072314
0.415-2.423237855136171.49060662591738
0.425-2.162134503252671.52160121000076
0.435-1.896662802490191.56831263976290
0.445-1.624508315302731.62628822119522
0.455-1.343984090727611.69069731903089
0.465-1.054074059884931.75688197456767
0.475-0.7544086165714991.82079235743269
0.485-0.4451791336290411.87929651126299
0.495-0.1270051905418711.93036074574713
0.5050.1992267442655031.97311662157468
0.5150.5325319029925992.00780550960892
0.5250.8719817598448322.03561751014464
0.5351.216825467139062.05842683004994
0.5451.566563424445422.07845369494988
0.5551.920964228187482.09786508299832
0.5652.280023591793122.11835851836671
0.5752.643871971417092.14081247252128
0.5853.012645786919792.16500293065337
0.5953.386344181605112.18953604651212
0.6053.764697855851152.21198489594939
0.6154.147077256148182.22925275584675
0.6254.532463267878642.23808945107662
0.6354.919494287710722.23575622392487
0.6455.306589999303112.22056687096262
0.6555.692136438110092.19239291964388
0.6656.074702112488362.15283356226311
0.6756.45324458342522.10515241924362
0.6856.827264113925382.05380308994785
0.6957.19686758579222.00370412827932
0.7057.562721642801711.95928528149754
0.7157.925896509834781.92347044231353
0.7258.28762684106791.89701626172821
0.7358.649038030645681.87830325961950
0.7459.010900831882561.86371853777728
0.7559.37348071400491.84858524982636
0.7659.736540481944241.82840483913076
0.77510.09953712419071.80006913186426
0.78510.46202994990881.76295456627669
0.79510.82428986809961.71972691951233
0.80511.18807005328081.67701298165699
0.81511.55746406510921.64574232541567
0.82511.93973458952631.64116209775036
0.83512.34594200154601.68184958597758
0.84512.79114241593041.78676755532687
0.85513.29387917333151.97005337507761
0.86513.87469506413202.23492701582376
0.87514.5534896241012.56933120930353
0.88515.34577356030332.94391937754164
0.89516.25823741625163.3128117792092
0.90517.28451352487343.61769988995544
0.91518.40248201970193.79642612015826
0.92519.574823044053.79587931803331
0.93520.754513265113.58764235528322
0.94521.89603971131553.18352233473333
0.95522.97008042075762.64877057528949
0.96523.97304738986392.11342613995048
0.97524.9153206007591.77349743644791
0.98525.77547729457591.78337791207828

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & -28.9507391094573 & 2.85345586825755 \tabularnewline
0.015 & -27.8775185726611 & 2.87402370235456 \tabularnewline
0.025 & -26.5113039906779 & 2.84598639991919 \tabularnewline
0.035 & -25.1250521736023 & 2.73385319284573 \tabularnewline
0.045 & -23.8478554032921 & 2.64552559502479 \tabularnewline
0.055 & -22.6900393308176 & 2.71848699193896 \tabularnewline
0.065 & -21.6067796999747 & 2.97086534245148 \tabularnewline
0.075 & -20.5479272715275 & 3.30687667660755 \tabularnewline
0.085 & -19.4832476817326 & 3.61305509696178 \tabularnewline
0.095 & -18.4080607336152 & 3.81192776805235 \tabularnewline
0.105 & -17.3374771371230 & 3.86994335821870 \tabularnewline
0.115 & -16.2964249661323 & 3.78963955724471 \tabularnewline
0.125 & -15.3103001817429 & 3.59773746805281 \tabularnewline
0.135 & -14.3985785129258 & 3.33346819656433 \tabularnewline
0.145 & -13.5718234351159 & 3.03885942827774 \tabularnewline
0.155 & -12.8314649812071 & 2.75194507785095 \tabularnewline
0.165 & -12.1713630577458 & 2.50236216838186 \tabularnewline
0.175 & -11.5802212457769 & 2.30901431411257 \tabularnewline
0.185 & -11.0441404674067 & 2.17921848650322 \tabularnewline
0.195 & -10.5488542525011 & 2.10966962963174 \tabularnewline
0.205 & -10.0814068047396 & 2.08926335000899 \tabularnewline
0.215 & -9.63120332199117 & 2.10306755114407 \tabularnewline
0.225 & -9.19047837016988 & 2.13593497077397 \tabularnewline
0.235 & -8.75429755742144 & 2.17484457623019 \tabularnewline
0.245 & -8.32023744037176 & 2.20982031525018 \tabularnewline
0.255 & -7.88788711708026 & 2.23405982625055 \tabularnewline
0.265 & -7.45829200911015 & 2.24345636148112 \tabularnewline
0.275 & -7.03342586095906 & 2.23608775561779 \tabularnewline
0.285 & -6.6157400920383 & 2.21159296615154 \tabularnewline
0.295 & -6.20780750180128 & 2.17070100735606 \tabularnewline
0.305 & -5.81205446214374 & 2.11497877503333 \tabularnewline
0.315 & -5.43056374379448 & 2.04662611621394 \tabularnewline
0.325 & -5.06492804226547 & 1.9684615999192 \tabularnewline
0.335 & -4.71613928978381 & 1.88390876539590 \tabularnewline
0.345 & -4.384507304971 & 1.79699430464796 \tabularnewline
0.355 & -4.06960969233332 & 1.71224070336412 \tabularnewline
0.365 & -3.77028046120049 & 1.63446750964894 \tabularnewline
0.375 & -3.48464615694395 & 1.56847904267754 \tabularnewline
0.385 & -3.21021528858458 & 1.51858936402214 \tabularnewline
0.395 & -2.94402051341340 & 1.48810163393502 \tabularnewline
0.405 & -2.68280512655915 & 1.47879615072314 \tabularnewline
0.415 & -2.42323785513617 & 1.49060662591738 \tabularnewline
0.425 & -2.16213450325267 & 1.52160121000076 \tabularnewline
0.435 & -1.89666280249019 & 1.56831263976290 \tabularnewline
0.445 & -1.62450831530273 & 1.62628822119522 \tabularnewline
0.455 & -1.34398409072761 & 1.69069731903089 \tabularnewline
0.465 & -1.05407405988493 & 1.75688197456767 \tabularnewline
0.475 & -0.754408616571499 & 1.82079235743269 \tabularnewline
0.485 & -0.445179133629041 & 1.87929651126299 \tabularnewline
0.495 & -0.127005190541871 & 1.93036074574713 \tabularnewline
0.505 & 0.199226744265503 & 1.97311662157468 \tabularnewline
0.515 & 0.532531902992599 & 2.00780550960892 \tabularnewline
0.525 & 0.871981759844832 & 2.03561751014464 \tabularnewline
0.535 & 1.21682546713906 & 2.05842683004994 \tabularnewline
0.545 & 1.56656342444542 & 2.07845369494988 \tabularnewline
0.555 & 1.92096422818748 & 2.09786508299832 \tabularnewline
0.565 & 2.28002359179312 & 2.11835851836671 \tabularnewline
0.575 & 2.64387197141709 & 2.14081247252128 \tabularnewline
0.585 & 3.01264578691979 & 2.16500293065337 \tabularnewline
0.595 & 3.38634418160511 & 2.18953604651212 \tabularnewline
0.605 & 3.76469785585115 & 2.21198489594939 \tabularnewline
0.615 & 4.14707725614818 & 2.22925275584675 \tabularnewline
0.625 & 4.53246326787864 & 2.23808945107662 \tabularnewline
0.635 & 4.91949428771072 & 2.23575622392487 \tabularnewline
0.645 & 5.30658999930311 & 2.22056687096262 \tabularnewline
0.655 & 5.69213643811009 & 2.19239291964388 \tabularnewline
0.665 & 6.07470211248836 & 2.15283356226311 \tabularnewline
0.675 & 6.4532445834252 & 2.10515241924362 \tabularnewline
0.685 & 6.82726411392538 & 2.05380308994785 \tabularnewline
0.695 & 7.1968675857922 & 2.00370412827932 \tabularnewline
0.705 & 7.56272164280171 & 1.95928528149754 \tabularnewline
0.715 & 7.92589650983478 & 1.92347044231353 \tabularnewline
0.725 & 8.2876268410679 & 1.89701626172821 \tabularnewline
0.735 & 8.64903803064568 & 1.87830325961950 \tabularnewline
0.745 & 9.01090083188256 & 1.86371853777728 \tabularnewline
0.755 & 9.3734807140049 & 1.84858524982636 \tabularnewline
0.765 & 9.73654048194424 & 1.82840483913076 \tabularnewline
0.775 & 10.0995371241907 & 1.80006913186426 \tabularnewline
0.785 & 10.4620299499088 & 1.76295456627669 \tabularnewline
0.795 & 10.8242898680996 & 1.71972691951233 \tabularnewline
0.805 & 11.1880700532808 & 1.67701298165699 \tabularnewline
0.815 & 11.5574640651092 & 1.64574232541567 \tabularnewline
0.825 & 11.9397345895263 & 1.64116209775036 \tabularnewline
0.835 & 12.3459420015460 & 1.68184958597758 \tabularnewline
0.845 & 12.7911424159304 & 1.78676755532687 \tabularnewline
0.855 & 13.2938791733315 & 1.97005337507761 \tabularnewline
0.865 & 13.8746950641320 & 2.23492701582376 \tabularnewline
0.875 & 14.553489624101 & 2.56933120930353 \tabularnewline
0.885 & 15.3457735603033 & 2.94391937754164 \tabularnewline
0.895 & 16.2582374162516 & 3.3128117792092 \tabularnewline
0.905 & 17.2845135248734 & 3.61769988995544 \tabularnewline
0.915 & 18.4024820197019 & 3.79642612015826 \tabularnewline
0.925 & 19.57482304405 & 3.79587931803331 \tabularnewline
0.935 & 20.75451326511 & 3.58764235528322 \tabularnewline
0.945 & 21.8960397113155 & 3.18352233473333 \tabularnewline
0.955 & 22.9700804207576 & 2.64877057528949 \tabularnewline
0.965 & 23.9730473898639 & 2.11342613995048 \tabularnewline
0.975 & 24.915320600759 & 1.77349743644791 \tabularnewline
0.985 & 25.7754772945759 & 1.78337791207828 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63814&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]-28.9507391094573[/C][C]2.85345586825755[/C][/ROW]
[ROW][C]0.015[/C][C]-27.8775185726611[/C][C]2.87402370235456[/C][/ROW]
[ROW][C]0.025[/C][C]-26.5113039906779[/C][C]2.84598639991919[/C][/ROW]
[ROW][C]0.035[/C][C]-25.1250521736023[/C][C]2.73385319284573[/C][/ROW]
[ROW][C]0.045[/C][C]-23.8478554032921[/C][C]2.64552559502479[/C][/ROW]
[ROW][C]0.055[/C][C]-22.6900393308176[/C][C]2.71848699193896[/C][/ROW]
[ROW][C]0.065[/C][C]-21.6067796999747[/C][C]2.97086534245148[/C][/ROW]
[ROW][C]0.075[/C][C]-20.5479272715275[/C][C]3.30687667660755[/C][/ROW]
[ROW][C]0.085[/C][C]-19.4832476817326[/C][C]3.61305509696178[/C][/ROW]
[ROW][C]0.095[/C][C]-18.4080607336152[/C][C]3.81192776805235[/C][/ROW]
[ROW][C]0.105[/C][C]-17.3374771371230[/C][C]3.86994335821870[/C][/ROW]
[ROW][C]0.115[/C][C]-16.2964249661323[/C][C]3.78963955724471[/C][/ROW]
[ROW][C]0.125[/C][C]-15.3103001817429[/C][C]3.59773746805281[/C][/ROW]
[ROW][C]0.135[/C][C]-14.3985785129258[/C][C]3.33346819656433[/C][/ROW]
[ROW][C]0.145[/C][C]-13.5718234351159[/C][C]3.03885942827774[/C][/ROW]
[ROW][C]0.155[/C][C]-12.8314649812071[/C][C]2.75194507785095[/C][/ROW]
[ROW][C]0.165[/C][C]-12.1713630577458[/C][C]2.50236216838186[/C][/ROW]
[ROW][C]0.175[/C][C]-11.5802212457769[/C][C]2.30901431411257[/C][/ROW]
[ROW][C]0.185[/C][C]-11.0441404674067[/C][C]2.17921848650322[/C][/ROW]
[ROW][C]0.195[/C][C]-10.5488542525011[/C][C]2.10966962963174[/C][/ROW]
[ROW][C]0.205[/C][C]-10.0814068047396[/C][C]2.08926335000899[/C][/ROW]
[ROW][C]0.215[/C][C]-9.63120332199117[/C][C]2.10306755114407[/C][/ROW]
[ROW][C]0.225[/C][C]-9.19047837016988[/C][C]2.13593497077397[/C][/ROW]
[ROW][C]0.235[/C][C]-8.75429755742144[/C][C]2.17484457623019[/C][/ROW]
[ROW][C]0.245[/C][C]-8.32023744037176[/C][C]2.20982031525018[/C][/ROW]
[ROW][C]0.255[/C][C]-7.88788711708026[/C][C]2.23405982625055[/C][/ROW]
[ROW][C]0.265[/C][C]-7.45829200911015[/C][C]2.24345636148112[/C][/ROW]
[ROW][C]0.275[/C][C]-7.03342586095906[/C][C]2.23608775561779[/C][/ROW]
[ROW][C]0.285[/C][C]-6.6157400920383[/C][C]2.21159296615154[/C][/ROW]
[ROW][C]0.295[/C][C]-6.20780750180128[/C][C]2.17070100735606[/C][/ROW]
[ROW][C]0.305[/C][C]-5.81205446214374[/C][C]2.11497877503333[/C][/ROW]
[ROW][C]0.315[/C][C]-5.43056374379448[/C][C]2.04662611621394[/C][/ROW]
[ROW][C]0.325[/C][C]-5.06492804226547[/C][C]1.9684615999192[/C][/ROW]
[ROW][C]0.335[/C][C]-4.71613928978381[/C][C]1.88390876539590[/C][/ROW]
[ROW][C]0.345[/C][C]-4.384507304971[/C][C]1.79699430464796[/C][/ROW]
[ROW][C]0.355[/C][C]-4.06960969233332[/C][C]1.71224070336412[/C][/ROW]
[ROW][C]0.365[/C][C]-3.77028046120049[/C][C]1.63446750964894[/C][/ROW]
[ROW][C]0.375[/C][C]-3.48464615694395[/C][C]1.56847904267754[/C][/ROW]
[ROW][C]0.385[/C][C]-3.21021528858458[/C][C]1.51858936402214[/C][/ROW]
[ROW][C]0.395[/C][C]-2.94402051341340[/C][C]1.48810163393502[/C][/ROW]
[ROW][C]0.405[/C][C]-2.68280512655915[/C][C]1.47879615072314[/C][/ROW]
[ROW][C]0.415[/C][C]-2.42323785513617[/C][C]1.49060662591738[/C][/ROW]
[ROW][C]0.425[/C][C]-2.16213450325267[/C][C]1.52160121000076[/C][/ROW]
[ROW][C]0.435[/C][C]-1.89666280249019[/C][C]1.56831263976290[/C][/ROW]
[ROW][C]0.445[/C][C]-1.62450831530273[/C][C]1.62628822119522[/C][/ROW]
[ROW][C]0.455[/C][C]-1.34398409072761[/C][C]1.69069731903089[/C][/ROW]
[ROW][C]0.465[/C][C]-1.05407405988493[/C][C]1.75688197456767[/C][/ROW]
[ROW][C]0.475[/C][C]-0.754408616571499[/C][C]1.82079235743269[/C][/ROW]
[ROW][C]0.485[/C][C]-0.445179133629041[/C][C]1.87929651126299[/C][/ROW]
[ROW][C]0.495[/C][C]-0.127005190541871[/C][C]1.93036074574713[/C][/ROW]
[ROW][C]0.505[/C][C]0.199226744265503[/C][C]1.97311662157468[/C][/ROW]
[ROW][C]0.515[/C][C]0.532531902992599[/C][C]2.00780550960892[/C][/ROW]
[ROW][C]0.525[/C][C]0.871981759844832[/C][C]2.03561751014464[/C][/ROW]
[ROW][C]0.535[/C][C]1.21682546713906[/C][C]2.05842683004994[/C][/ROW]
[ROW][C]0.545[/C][C]1.56656342444542[/C][C]2.07845369494988[/C][/ROW]
[ROW][C]0.555[/C][C]1.92096422818748[/C][C]2.09786508299832[/C][/ROW]
[ROW][C]0.565[/C][C]2.28002359179312[/C][C]2.11835851836671[/C][/ROW]
[ROW][C]0.575[/C][C]2.64387197141709[/C][C]2.14081247252128[/C][/ROW]
[ROW][C]0.585[/C][C]3.01264578691979[/C][C]2.16500293065337[/C][/ROW]
[ROW][C]0.595[/C][C]3.38634418160511[/C][C]2.18953604651212[/C][/ROW]
[ROW][C]0.605[/C][C]3.76469785585115[/C][C]2.21198489594939[/C][/ROW]
[ROW][C]0.615[/C][C]4.14707725614818[/C][C]2.22925275584675[/C][/ROW]
[ROW][C]0.625[/C][C]4.53246326787864[/C][C]2.23808945107662[/C][/ROW]
[ROW][C]0.635[/C][C]4.91949428771072[/C][C]2.23575622392487[/C][/ROW]
[ROW][C]0.645[/C][C]5.30658999930311[/C][C]2.22056687096262[/C][/ROW]
[ROW][C]0.655[/C][C]5.69213643811009[/C][C]2.19239291964388[/C][/ROW]
[ROW][C]0.665[/C][C]6.07470211248836[/C][C]2.15283356226311[/C][/ROW]
[ROW][C]0.675[/C][C]6.4532445834252[/C][C]2.10515241924362[/C][/ROW]
[ROW][C]0.685[/C][C]6.82726411392538[/C][C]2.05380308994785[/C][/ROW]
[ROW][C]0.695[/C][C]7.1968675857922[/C][C]2.00370412827932[/C][/ROW]
[ROW][C]0.705[/C][C]7.56272164280171[/C][C]1.95928528149754[/C][/ROW]
[ROW][C]0.715[/C][C]7.92589650983478[/C][C]1.92347044231353[/C][/ROW]
[ROW][C]0.725[/C][C]8.2876268410679[/C][C]1.89701626172821[/C][/ROW]
[ROW][C]0.735[/C][C]8.64903803064568[/C][C]1.87830325961950[/C][/ROW]
[ROW][C]0.745[/C][C]9.01090083188256[/C][C]1.86371853777728[/C][/ROW]
[ROW][C]0.755[/C][C]9.3734807140049[/C][C]1.84858524982636[/C][/ROW]
[ROW][C]0.765[/C][C]9.73654048194424[/C][C]1.82840483913076[/C][/ROW]
[ROW][C]0.775[/C][C]10.0995371241907[/C][C]1.80006913186426[/C][/ROW]
[ROW][C]0.785[/C][C]10.4620299499088[/C][C]1.76295456627669[/C][/ROW]
[ROW][C]0.795[/C][C]10.8242898680996[/C][C]1.71972691951233[/C][/ROW]
[ROW][C]0.805[/C][C]11.1880700532808[/C][C]1.67701298165699[/C][/ROW]
[ROW][C]0.815[/C][C]11.5574640651092[/C][C]1.64574232541567[/C][/ROW]
[ROW][C]0.825[/C][C]11.9397345895263[/C][C]1.64116209775036[/C][/ROW]
[ROW][C]0.835[/C][C]12.3459420015460[/C][C]1.68184958597758[/C][/ROW]
[ROW][C]0.845[/C][C]12.7911424159304[/C][C]1.78676755532687[/C][/ROW]
[ROW][C]0.855[/C][C]13.2938791733315[/C][C]1.97005337507761[/C][/ROW]
[ROW][C]0.865[/C][C]13.8746950641320[/C][C]2.23492701582376[/C][/ROW]
[ROW][C]0.875[/C][C]14.553489624101[/C][C]2.56933120930353[/C][/ROW]
[ROW][C]0.885[/C][C]15.3457735603033[/C][C]2.94391937754164[/C][/ROW]
[ROW][C]0.895[/C][C]16.2582374162516[/C][C]3.3128117792092[/C][/ROW]
[ROW][C]0.905[/C][C]17.2845135248734[/C][C]3.61769988995544[/C][/ROW]
[ROW][C]0.915[/C][C]18.4024820197019[/C][C]3.79642612015826[/C][/ROW]
[ROW][C]0.925[/C][C]19.57482304405[/C][C]3.79587931803331[/C][/ROW]
[ROW][C]0.935[/C][C]20.75451326511[/C][C]3.58764235528322[/C][/ROW]
[ROW][C]0.945[/C][C]21.8960397113155[/C][C]3.18352233473333[/C][/ROW]
[ROW][C]0.955[/C][C]22.9700804207576[/C][C]2.64877057528949[/C][/ROW]
[ROW][C]0.965[/C][C]23.9730473898639[/C][C]2.11342613995048[/C][/ROW]
[ROW][C]0.975[/C][C]24.915320600759[/C][C]1.77349743644791[/C][/ROW]
[ROW][C]0.985[/C][C]25.7754772945759[/C][C]1.78337791207828[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63814&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
0.005-28.95073910945732.85345586825755
0.015-27.87751857266112.87402370235456
0.025-26.51130399067792.84598639991919
0.035-25.12505217360232.73385319284573
0.045-23.84785540329212.64552559502479
0.055-22.69003933081762.71848699193896
0.065-21.60677969997472.97086534245148
0.075-20.54792727152753.30687667660755
0.085-19.48324768173263.61305509696178
0.095-18.40806073361523.81192776805235
0.105-17.33747713712303.86994335821870
0.115-16.29642496613233.78963955724471
0.125-15.31030018174293.59773746805281
0.135-14.39857851292583.33346819656433
0.145-13.57182343511593.03885942827774
0.155-12.83146498120712.75194507785095
0.165-12.17136305774582.50236216838186
0.175-11.58022124577692.30901431411257
0.185-11.04414046740672.17921848650322
0.195-10.54885425250112.10966962963174
0.205-10.08140680473962.08926335000899
0.215-9.631203321991172.10306755114407
0.225-9.190478370169882.13593497077397
0.235-8.754297557421442.17484457623019
0.245-8.320237440371762.20982031525018
0.255-7.887887117080262.23405982625055
0.265-7.458292009110152.24345636148112
0.275-7.033425860959062.23608775561779
0.285-6.61574009203832.21159296615154
0.295-6.207807501801282.17070100735606
0.305-5.812054462143742.11497877503333
0.315-5.430563743794482.04662611621394
0.325-5.064928042265471.9684615999192
0.335-4.716139289783811.88390876539590
0.345-4.3845073049711.79699430464796
0.355-4.069609692333321.71224070336412
0.365-3.770280461200491.63446750964894
0.375-3.484646156943951.56847904267754
0.385-3.210215288584581.51858936402214
0.395-2.944020513413401.48810163393502
0.405-2.682805126559151.47879615072314
0.415-2.423237855136171.49060662591738
0.425-2.162134503252671.52160121000076
0.435-1.896662802490191.56831263976290
0.445-1.624508315302731.62628822119522
0.455-1.343984090727611.69069731903089
0.465-1.054074059884931.75688197456767
0.475-0.7544086165714991.82079235743269
0.485-0.4451791336290411.87929651126299
0.495-0.1270051905418711.93036074574713
0.5050.1992267442655031.97311662157468
0.5150.5325319029925992.00780550960892
0.5250.8719817598448322.03561751014464
0.5351.216825467139062.05842683004994
0.5451.566563424445422.07845369494988
0.5551.920964228187482.09786508299832
0.5652.280023591793122.11835851836671
0.5752.643871971417092.14081247252128
0.5853.012645786919792.16500293065337
0.5953.386344181605112.18953604651212
0.6053.764697855851152.21198489594939
0.6154.147077256148182.22925275584675
0.6254.532463267878642.23808945107662
0.6354.919494287710722.23575622392487
0.6455.306589999303112.22056687096262
0.6555.692136438110092.19239291964388
0.6656.074702112488362.15283356226311
0.6756.45324458342522.10515241924362
0.6856.827264113925382.05380308994785
0.6957.19686758579222.00370412827932
0.7057.562721642801711.95928528149754
0.7157.925896509834781.92347044231353
0.7258.28762684106791.89701626172821
0.7358.649038030645681.87830325961950
0.7459.010900831882561.86371853777728
0.7559.37348071400491.84858524982636
0.7659.736540481944241.82840483913076
0.77510.09953712419071.80006913186426
0.78510.46202994990881.76295456627669
0.79510.82428986809961.71972691951233
0.80511.18807005328081.67701298165699
0.81511.55746406510921.64574232541567
0.82511.93973458952631.64116209775036
0.83512.34594200154601.68184958597758
0.84512.79114241593041.78676755532687
0.85513.29387917333151.97005337507761
0.86513.87469506413202.23492701582376
0.87514.5534896241012.56933120930353
0.88515.34577356030332.94391937754164
0.89516.25823741625163.3128117792092
0.90517.28451352487343.61769988995544
0.91518.40248201970193.79642612015826
0.92519.574823044053.79587931803331
0.93520.754513265113.58764235528322
0.94521.89603971131553.18352233473333
0.95522.97008042075762.64877057528949
0.96523.97304738986392.11342613995048
0.97524.9153206007591.77349743644791
0.98525.77547729457591.78337791207828


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = TRUE ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
Parameters (R input):
par1 = 0.005 ; 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')