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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 11:06:56 -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/t1225127259y9ob3kthq6b6pos.htm/, Retrieved Sun, 19 May 2024 13:00:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19273, Retrieved Sun, 19 May 2024 13:00:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [q9] [2008-10-27 17:06:56] [e81ac192d6ae6d77191d83851a692999] [Current]
Feedback Forum
2008-10-29 17:31:10 [Jan Van Riet] [reply] 
Dit klopt. Door het gemiddelde van het gevonden interval af te trekken bekomen we het het betrouwbaarheidsinterval van de random component. Dit bekomen we ook door dit rechtsteeks aan te passen in de R-code (x vervangen door x <- x - gemiddelde).
2008-11-03 09:29:58 [339a57d8a4d5d113e4804fc423e4a59e] [reply] 
Deze vraag werd correct geinterpreteerd door de student. Men trekt het gemiddelde van de waardes af om zo de grenzen van de random component te berekenen. Men kan dit ook via de R-code doen door volgende regel in te voeren: 'x = x-gemiddelde(getal)'

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,296364694
0,289012188
0,284750546
0,308461168
0,311197802
0,30529117
0,293051134
0,295099724
0,299855329
0,293829075
0,288573454
0,291966049
0,2963183
0,29200924
0,28480764
0,282794428
0,278180549
0,276553189
0,279449933
0,26945731
0,271973446
0,268878727
0,257315852
0,256300537
0,251716995
0,248027075
0,239819848
0,235972015
0,238589686
0,235190343
0,240847054
0,242726478
0,243078651
0,249048485
0,250492336
0,251108768
0,260807534
0,266405235
0,278845462
0,292498505
0,286193952
0,28362042
0,290952119
0,289686229
0,294248482
0,29239326
0,304865687
0,296759995
0,296725458
0,283560093
0,28887286
0,287995152
0,300349538
0,295216859
0,297463824
0,295403904
0,297420797
0,292759913
0,299713181
0,315840172

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19273&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19273&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19273&T=0

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


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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.2355318691639430.00111850712358003
0.020.2361596186747150.00162992683101385
0.030.2369859641001610.00203405148446821
0.040.2379134789629780.00227238019986304
0.050.2388747055923150.0024338400347654
0.060.2398398409816210.00261934558542320
0.070.2408069626853630.00287168270226127
0.080.2417871144396890.00317760883247074
0.090.2427920012761550.0034983626023602
0.10.2438274529021810.00379603186504833
0.110.2448923903955000.00404705014539405
0.120.2459813387514670.00424919976548416
0.130.2470882501245430.00442011580811404
0.140.2482098831721610.00459044743455225
0.150.2493477154466410.0047945950033106
0.160.2505080785441980.00505896990309701
0.170.2517007685772400.00539400388363334
0.180.2529367298257430.00579171952355031
0.190.2542255189747450.00623081296202036
0.20.2555731656264150.00668154767003217
0.210.2569808265992250.00711221063508006
0.220.2584443744242670.00749413438719806
0.230.2599548370801490.00780465255204329
0.240.2614994586381670.00802920722027122
0.250.2630630897587150.00816078163434561
0.260.2646296301866160.00820025527323527
0.270.2661833078107640.00815372831301988
0.280.2677096634802050.00803119284516477
0.290.2691961946805530.0078444937702877
0.30.2706326786079230.00760565067639936
0.310.2720112382234720.007326308111008
0.320.2733262326302720.00701719494148182
0.330.2745740499110910.00668777925519884
0.340.2757528636856730.00634592742448253
0.350.2768623920370490.00599958860904381
0.360.2779036758494070.00565557323820853
0.370.2788788773850240.00532020695807064
0.380.2797910908883770.00499909145862423
0.390.2806441547592130.00469715197440825
0.40.2814424576484600.00441733159023304
0.410.2821907364518670.00416226379153928
0.420.282893870461480.00393336633938442
0.430.2835566811776370.00373000932947866
0.440.2841837503312700.00355074225558687
0.450.2847792689356140.00339281018485619
0.460.2853469276684680.00325336928943497
0.470.2858898541377160.00312854052192313
0.480.2864105966603470.00301424706608158
0.490.2869111484569870.00290786144834136
0.50.2873930019945930.00280615609819388
0.510.2878572215805470.00270716277604346
0.520.2883045235000660.00261068474174403
0.530.2887353564389870.00251396696675409
0.540.2891499793856340.00241778076218626
0.550.2895485380721890.00232090272306402
0.560.2899311428958490.00222334819028425
0.570.2902979504129610.00212544926625232
0.580.2906492471252610.0020281513577311
0.590.2909855294944430.00193253387539335
0.60.2913075696405370.00184058418270993
0.610.2916164537761530.00175452929320830
0.620.2919135813752080.00167728567119151
0.630.2922006177158650.00161067469072138
0.640.2924794000396240.00155614478885304
0.650.2927518064934080.00151407427896643
0.660.2930196051715740.00148321840621494
0.670.2932843059788920.00146113788945452
0.680.2935470393984780.00144511181474798
0.690.2938084833000490.00143120203324211
0.70.2940688524560390.00141614781790511
0.710.2943279570136890.00139770492252550
0.720.2945853276150630.00137400478885692
0.730.2948403976333010.00134436225705171
0.740.2950927277866090.00130996931091666
0.750.2953422550118200.00127304598554243
0.760.2955895452177250.00123667344425502
0.770.2958360278798220.00120595182114917
0.780.2960841898263910.00118618682456352
0.790.2963377077234960.00118340358065729
0.80.2966015060436640.00120357363317094
0.810.2968817408210820.00125191461324944
0.820.2971857265768250.00133106774224696
0.830.2975218362340680.00144223492409731
0.840.2978993994276000.00158434495816032
0.850.2983285939408290.0017568369454425
0.860.2988202727688830.00195816084951959
0.870.2993856240009860.00218654441476554
0.880.3000355717273480.00243735868132291
0.890.3007799389490280.00269988978367787
0.90.3016266082913940.00295620631504598
0.910.3025811610370610.00318401805337786
0.920.3036476288021880.00336341591555585
0.930.3048309330853080.00348521537162057
0.940.3061410789408080.00355386862791117
0.950.3075973440953770.003584763863353
0.960.3092256241260710.00360383239050608
0.970.3110330333323970.00366428894442252
0.980.3129406303415820.00385680270337422
0.990.3146896933683460.00421556245628141

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.235531869163943 & 0.00111850712358003 \tabularnewline
0.02 & 0.236159618674715 & 0.00162992683101385 \tabularnewline
0.03 & 0.236985964100161 & 0.00203405148446821 \tabularnewline
0.04 & 0.237913478962978 & 0.00227238019986304 \tabularnewline
0.05 & 0.238874705592315 & 0.0024338400347654 \tabularnewline
0.06 & 0.239839840981621 & 0.00261934558542320 \tabularnewline
0.07 & 0.240806962685363 & 0.00287168270226127 \tabularnewline
0.08 & 0.241787114439689 & 0.00317760883247074 \tabularnewline
0.09 & 0.242792001276155 & 0.0034983626023602 \tabularnewline
0.1 & 0.243827452902181 & 0.00379603186504833 \tabularnewline
0.11 & 0.244892390395500 & 0.00404705014539405 \tabularnewline
0.12 & 0.245981338751467 & 0.00424919976548416 \tabularnewline
0.13 & 0.247088250124543 & 0.00442011580811404 \tabularnewline
0.14 & 0.248209883172161 & 0.00459044743455225 \tabularnewline
0.15 & 0.249347715446641 & 0.0047945950033106 \tabularnewline
0.16 & 0.250508078544198 & 0.00505896990309701 \tabularnewline
0.17 & 0.251700768577240 & 0.00539400388363334 \tabularnewline
0.18 & 0.252936729825743 & 0.00579171952355031 \tabularnewline
0.19 & 0.254225518974745 & 0.00623081296202036 \tabularnewline
0.2 & 0.255573165626415 & 0.00668154767003217 \tabularnewline
0.21 & 0.256980826599225 & 0.00711221063508006 \tabularnewline
0.22 & 0.258444374424267 & 0.00749413438719806 \tabularnewline
0.23 & 0.259954837080149 & 0.00780465255204329 \tabularnewline
0.24 & 0.261499458638167 & 0.00802920722027122 \tabularnewline
0.25 & 0.263063089758715 & 0.00816078163434561 \tabularnewline
0.26 & 0.264629630186616 & 0.00820025527323527 \tabularnewline
0.27 & 0.266183307810764 & 0.00815372831301988 \tabularnewline
0.28 & 0.267709663480205 & 0.00803119284516477 \tabularnewline
0.29 & 0.269196194680553 & 0.0078444937702877 \tabularnewline
0.3 & 0.270632678607923 & 0.00760565067639936 \tabularnewline
0.31 & 0.272011238223472 & 0.007326308111008 \tabularnewline
0.32 & 0.273326232630272 & 0.00701719494148182 \tabularnewline
0.33 & 0.274574049911091 & 0.00668777925519884 \tabularnewline
0.34 & 0.275752863685673 & 0.00634592742448253 \tabularnewline
0.35 & 0.276862392037049 & 0.00599958860904381 \tabularnewline
0.36 & 0.277903675849407 & 0.00565557323820853 \tabularnewline
0.37 & 0.278878877385024 & 0.00532020695807064 \tabularnewline
0.38 & 0.279791090888377 & 0.00499909145862423 \tabularnewline
0.39 & 0.280644154759213 & 0.00469715197440825 \tabularnewline
0.4 & 0.281442457648460 & 0.00441733159023304 \tabularnewline
0.41 & 0.282190736451867 & 0.00416226379153928 \tabularnewline
0.42 & 0.28289387046148 & 0.00393336633938442 \tabularnewline
0.43 & 0.283556681177637 & 0.00373000932947866 \tabularnewline
0.44 & 0.284183750331270 & 0.00355074225558687 \tabularnewline
0.45 & 0.284779268935614 & 0.00339281018485619 \tabularnewline
0.46 & 0.285346927668468 & 0.00325336928943497 \tabularnewline
0.47 & 0.285889854137716 & 0.00312854052192313 \tabularnewline
0.48 & 0.286410596660347 & 0.00301424706608158 \tabularnewline
0.49 & 0.286911148456987 & 0.00290786144834136 \tabularnewline
0.5 & 0.287393001994593 & 0.00280615609819388 \tabularnewline
0.51 & 0.287857221580547 & 0.00270716277604346 \tabularnewline
0.52 & 0.288304523500066 & 0.00261068474174403 \tabularnewline
0.53 & 0.288735356438987 & 0.00251396696675409 \tabularnewline
0.54 & 0.289149979385634 & 0.00241778076218626 \tabularnewline
0.55 & 0.289548538072189 & 0.00232090272306402 \tabularnewline
0.56 & 0.289931142895849 & 0.00222334819028425 \tabularnewline
0.57 & 0.290297950412961 & 0.00212544926625232 \tabularnewline
0.58 & 0.290649247125261 & 0.0020281513577311 \tabularnewline
0.59 & 0.290985529494443 & 0.00193253387539335 \tabularnewline
0.6 & 0.291307569640537 & 0.00184058418270993 \tabularnewline
0.61 & 0.291616453776153 & 0.00175452929320830 \tabularnewline
0.62 & 0.291913581375208 & 0.00167728567119151 \tabularnewline
0.63 & 0.292200617715865 & 0.00161067469072138 \tabularnewline
0.64 & 0.292479400039624 & 0.00155614478885304 \tabularnewline
0.65 & 0.292751806493408 & 0.00151407427896643 \tabularnewline
0.66 & 0.293019605171574 & 0.00148321840621494 \tabularnewline
0.67 & 0.293284305978892 & 0.00146113788945452 \tabularnewline
0.68 & 0.293547039398478 & 0.00144511181474798 \tabularnewline
0.69 & 0.293808483300049 & 0.00143120203324211 \tabularnewline
0.7 & 0.294068852456039 & 0.00141614781790511 \tabularnewline
0.71 & 0.294327957013689 & 0.00139770492252550 \tabularnewline
0.72 & 0.294585327615063 & 0.00137400478885692 \tabularnewline
0.73 & 0.294840397633301 & 0.00134436225705171 \tabularnewline
0.74 & 0.295092727786609 & 0.00130996931091666 \tabularnewline
0.75 & 0.295342255011820 & 0.00127304598554243 \tabularnewline
0.76 & 0.295589545217725 & 0.00123667344425502 \tabularnewline
0.77 & 0.295836027879822 & 0.00120595182114917 \tabularnewline
0.78 & 0.296084189826391 & 0.00118618682456352 \tabularnewline
0.79 & 0.296337707723496 & 0.00118340358065729 \tabularnewline
0.8 & 0.296601506043664 & 0.00120357363317094 \tabularnewline
0.81 & 0.296881740821082 & 0.00125191461324944 \tabularnewline
0.82 & 0.297185726576825 & 0.00133106774224696 \tabularnewline
0.83 & 0.297521836234068 & 0.00144223492409731 \tabularnewline
0.84 & 0.297899399427600 & 0.00158434495816032 \tabularnewline
0.85 & 0.298328593940829 & 0.0017568369454425 \tabularnewline
0.86 & 0.298820272768883 & 0.00195816084951959 \tabularnewline
0.87 & 0.299385624000986 & 0.00218654441476554 \tabularnewline
0.88 & 0.300035571727348 & 0.00243735868132291 \tabularnewline
0.89 & 0.300779938949028 & 0.00269988978367787 \tabularnewline
0.9 & 0.301626608291394 & 0.00295620631504598 \tabularnewline
0.91 & 0.302581161037061 & 0.00318401805337786 \tabularnewline
0.92 & 0.303647628802188 & 0.00336341591555585 \tabularnewline
0.93 & 0.304830933085308 & 0.00348521537162057 \tabularnewline
0.94 & 0.306141078940808 & 0.00355386862791117 \tabularnewline
0.95 & 0.307597344095377 & 0.003584763863353 \tabularnewline
0.96 & 0.309225624126071 & 0.00360383239050608 \tabularnewline
0.97 & 0.311033033332397 & 0.00366428894442252 \tabularnewline
0.98 & 0.312940630341582 & 0.00385680270337422 \tabularnewline
0.99 & 0.314689693368346 & 0.00421556245628141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19273&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]0.235531869163943[/C][C]0.00111850712358003[/C][/ROW]
[ROW][C]0.02[/C][C]0.236159618674715[/C][C]0.00162992683101385[/C][/ROW]
[ROW][C]0.03[/C][C]0.236985964100161[/C][C]0.00203405148446821[/C][/ROW]
[ROW][C]0.04[/C][C]0.237913478962978[/C][C]0.00227238019986304[/C][/ROW]
[ROW][C]0.05[/C][C]0.238874705592315[/C][C]0.0024338400347654[/C][/ROW]
[ROW][C]0.06[/C][C]0.239839840981621[/C][C]0.00261934558542320[/C][/ROW]
[ROW][C]0.07[/C][C]0.240806962685363[/C][C]0.00287168270226127[/C][/ROW]
[ROW][C]0.08[/C][C]0.241787114439689[/C][C]0.00317760883247074[/C][/ROW]
[ROW][C]0.09[/C][C]0.242792001276155[/C][C]0.0034983626023602[/C][/ROW]
[ROW][C]0.1[/C][C]0.243827452902181[/C][C]0.00379603186504833[/C][/ROW]
[ROW][C]0.11[/C][C]0.244892390395500[/C][C]0.00404705014539405[/C][/ROW]
[ROW][C]0.12[/C][C]0.245981338751467[/C][C]0.00424919976548416[/C][/ROW]
[ROW][C]0.13[/C][C]0.247088250124543[/C][C]0.00442011580811404[/C][/ROW]
[ROW][C]0.14[/C][C]0.248209883172161[/C][C]0.00459044743455225[/C][/ROW]
[ROW][C]0.15[/C][C]0.249347715446641[/C][C]0.0047945950033106[/C][/ROW]
[ROW][C]0.16[/C][C]0.250508078544198[/C][C]0.00505896990309701[/C][/ROW]
[ROW][C]0.17[/C][C]0.251700768577240[/C][C]0.00539400388363334[/C][/ROW]
[ROW][C]0.18[/C][C]0.252936729825743[/C][C]0.00579171952355031[/C][/ROW]
[ROW][C]0.19[/C][C]0.254225518974745[/C][C]0.00623081296202036[/C][/ROW]
[ROW][C]0.2[/C][C]0.255573165626415[/C][C]0.00668154767003217[/C][/ROW]
[ROW][C]0.21[/C][C]0.256980826599225[/C][C]0.00711221063508006[/C][/ROW]
[ROW][C]0.22[/C][C]0.258444374424267[/C][C]0.00749413438719806[/C][/ROW]
[ROW][C]0.23[/C][C]0.259954837080149[/C][C]0.00780465255204329[/C][/ROW]
[ROW][C]0.24[/C][C]0.261499458638167[/C][C]0.00802920722027122[/C][/ROW]
[ROW][C]0.25[/C][C]0.263063089758715[/C][C]0.00816078163434561[/C][/ROW]
[ROW][C]0.26[/C][C]0.264629630186616[/C][C]0.00820025527323527[/C][/ROW]
[ROW][C]0.27[/C][C]0.266183307810764[/C][C]0.00815372831301988[/C][/ROW]
[ROW][C]0.28[/C][C]0.267709663480205[/C][C]0.00803119284516477[/C][/ROW]
[ROW][C]0.29[/C][C]0.269196194680553[/C][C]0.0078444937702877[/C][/ROW]
[ROW][C]0.3[/C][C]0.270632678607923[/C][C]0.00760565067639936[/C][/ROW]
[ROW][C]0.31[/C][C]0.272011238223472[/C][C]0.007326308111008[/C][/ROW]
[ROW][C]0.32[/C][C]0.273326232630272[/C][C]0.00701719494148182[/C][/ROW]
[ROW][C]0.33[/C][C]0.274574049911091[/C][C]0.00668777925519884[/C][/ROW]
[ROW][C]0.34[/C][C]0.275752863685673[/C][C]0.00634592742448253[/C][/ROW]
[ROW][C]0.35[/C][C]0.276862392037049[/C][C]0.00599958860904381[/C][/ROW]
[ROW][C]0.36[/C][C]0.277903675849407[/C][C]0.00565557323820853[/C][/ROW]
[ROW][C]0.37[/C][C]0.278878877385024[/C][C]0.00532020695807064[/C][/ROW]
[ROW][C]0.38[/C][C]0.279791090888377[/C][C]0.00499909145862423[/C][/ROW]
[ROW][C]0.39[/C][C]0.280644154759213[/C][C]0.00469715197440825[/C][/ROW]
[ROW][C]0.4[/C][C]0.281442457648460[/C][C]0.00441733159023304[/C][/ROW]
[ROW][C]0.41[/C][C]0.282190736451867[/C][C]0.00416226379153928[/C][/ROW]
[ROW][C]0.42[/C][C]0.28289387046148[/C][C]0.00393336633938442[/C][/ROW]
[ROW][C]0.43[/C][C]0.283556681177637[/C][C]0.00373000932947866[/C][/ROW]
[ROW][C]0.44[/C][C]0.284183750331270[/C][C]0.00355074225558687[/C][/ROW]
[ROW][C]0.45[/C][C]0.284779268935614[/C][C]0.00339281018485619[/C][/ROW]
[ROW][C]0.46[/C][C]0.285346927668468[/C][C]0.00325336928943497[/C][/ROW]
[ROW][C]0.47[/C][C]0.285889854137716[/C][C]0.00312854052192313[/C][/ROW]
[ROW][C]0.48[/C][C]0.286410596660347[/C][C]0.00301424706608158[/C][/ROW]
[ROW][C]0.49[/C][C]0.286911148456987[/C][C]0.00290786144834136[/C][/ROW]
[ROW][C]0.5[/C][C]0.287393001994593[/C][C]0.00280615609819388[/C][/ROW]
[ROW][C]0.51[/C][C]0.287857221580547[/C][C]0.00270716277604346[/C][/ROW]
[ROW][C]0.52[/C][C]0.288304523500066[/C][C]0.00261068474174403[/C][/ROW]
[ROW][C]0.53[/C][C]0.288735356438987[/C][C]0.00251396696675409[/C][/ROW]
[ROW][C]0.54[/C][C]0.289149979385634[/C][C]0.00241778076218626[/C][/ROW]
[ROW][C]0.55[/C][C]0.289548538072189[/C][C]0.00232090272306402[/C][/ROW]
[ROW][C]0.56[/C][C]0.289931142895849[/C][C]0.00222334819028425[/C][/ROW]
[ROW][C]0.57[/C][C]0.290297950412961[/C][C]0.00212544926625232[/C][/ROW]
[ROW][C]0.58[/C][C]0.290649247125261[/C][C]0.0020281513577311[/C][/ROW]
[ROW][C]0.59[/C][C]0.290985529494443[/C][C]0.00193253387539335[/C][/ROW]
[ROW][C]0.6[/C][C]0.291307569640537[/C][C]0.00184058418270993[/C][/ROW]
[ROW][C]0.61[/C][C]0.291616453776153[/C][C]0.00175452929320830[/C][/ROW]
[ROW][C]0.62[/C][C]0.291913581375208[/C][C]0.00167728567119151[/C][/ROW]
[ROW][C]0.63[/C][C]0.292200617715865[/C][C]0.00161067469072138[/C][/ROW]
[ROW][C]0.64[/C][C]0.292479400039624[/C][C]0.00155614478885304[/C][/ROW]
[ROW][C]0.65[/C][C]0.292751806493408[/C][C]0.00151407427896643[/C][/ROW]
[ROW][C]0.66[/C][C]0.293019605171574[/C][C]0.00148321840621494[/C][/ROW]
[ROW][C]0.67[/C][C]0.293284305978892[/C][C]0.00146113788945452[/C][/ROW]
[ROW][C]0.68[/C][C]0.293547039398478[/C][C]0.00144511181474798[/C][/ROW]
[ROW][C]0.69[/C][C]0.293808483300049[/C][C]0.00143120203324211[/C][/ROW]
[ROW][C]0.7[/C][C]0.294068852456039[/C][C]0.00141614781790511[/C][/ROW]
[ROW][C]0.71[/C][C]0.294327957013689[/C][C]0.00139770492252550[/C][/ROW]
[ROW][C]0.72[/C][C]0.294585327615063[/C][C]0.00137400478885692[/C][/ROW]
[ROW][C]0.73[/C][C]0.294840397633301[/C][C]0.00134436225705171[/C][/ROW]
[ROW][C]0.74[/C][C]0.295092727786609[/C][C]0.00130996931091666[/C][/ROW]
[ROW][C]0.75[/C][C]0.295342255011820[/C][C]0.00127304598554243[/C][/ROW]
[ROW][C]0.76[/C][C]0.295589545217725[/C][C]0.00123667344425502[/C][/ROW]
[ROW][C]0.77[/C][C]0.295836027879822[/C][C]0.00120595182114917[/C][/ROW]
[ROW][C]0.78[/C][C]0.296084189826391[/C][C]0.00118618682456352[/C][/ROW]
[ROW][C]0.79[/C][C]0.296337707723496[/C][C]0.00118340358065729[/C][/ROW]
[ROW][C]0.8[/C][C]0.296601506043664[/C][C]0.00120357363317094[/C][/ROW]
[ROW][C]0.81[/C][C]0.296881740821082[/C][C]0.00125191461324944[/C][/ROW]
[ROW][C]0.82[/C][C]0.297185726576825[/C][C]0.00133106774224696[/C][/ROW]
[ROW][C]0.83[/C][C]0.297521836234068[/C][C]0.00144223492409731[/C][/ROW]
[ROW][C]0.84[/C][C]0.297899399427600[/C][C]0.00158434495816032[/C][/ROW]
[ROW][C]0.85[/C][C]0.298328593940829[/C][C]0.0017568369454425[/C][/ROW]
[ROW][C]0.86[/C][C]0.298820272768883[/C][C]0.00195816084951959[/C][/ROW]
[ROW][C]0.87[/C][C]0.299385624000986[/C][C]0.00218654441476554[/C][/ROW]
[ROW][C]0.88[/C][C]0.300035571727348[/C][C]0.00243735868132291[/C][/ROW]
[ROW][C]0.89[/C][C]0.300779938949028[/C][C]0.00269988978367787[/C][/ROW]
[ROW][C]0.9[/C][C]0.301626608291394[/C][C]0.00295620631504598[/C][/ROW]
[ROW][C]0.91[/C][C]0.302581161037061[/C][C]0.00318401805337786[/C][/ROW]
[ROW][C]0.92[/C][C]0.303647628802188[/C][C]0.00336341591555585[/C][/ROW]
[ROW][C]0.93[/C][C]0.304830933085308[/C][C]0.00348521537162057[/C][/ROW]
[ROW][C]0.94[/C][C]0.306141078940808[/C][C]0.00355386862791117[/C][/ROW]
[ROW][C]0.95[/C][C]0.307597344095377[/C][C]0.003584763863353[/C][/ROW]
[ROW][C]0.96[/C][C]0.309225624126071[/C][C]0.00360383239050608[/C][/ROW]
[ROW][C]0.97[/C][C]0.311033033332397[/C][C]0.00366428894442252[/C][/ROW]
[ROW][C]0.98[/C][C]0.312940630341582[/C][C]0.00385680270337422[/C][/ROW]
[ROW][C]0.99[/C][C]0.314689693368346[/C][C]0.00421556245628141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19273&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19273&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
0.010.2355318691639430.00111850712358003
0.020.2361596186747150.00162992683101385
0.030.2369859641001610.00203405148446821
0.040.2379134789629780.00227238019986304
0.050.2388747055923150.0024338400347654
0.060.2398398409816210.00261934558542320
0.070.2408069626853630.00287168270226127
0.080.2417871144396890.00317760883247074
0.090.2427920012761550.0034983626023602
0.10.2438274529021810.00379603186504833
0.110.2448923903955000.00404705014539405
0.120.2459813387514670.00424919976548416
0.130.2470882501245430.00442011580811404
0.140.2482098831721610.00459044743455225
0.150.2493477154466410.0047945950033106
0.160.2505080785441980.00505896990309701
0.170.2517007685772400.00539400388363334
0.180.2529367298257430.00579171952355031
0.190.2542255189747450.00623081296202036
0.20.2555731656264150.00668154767003217
0.210.2569808265992250.00711221063508006
0.220.2584443744242670.00749413438719806
0.230.2599548370801490.00780465255204329
0.240.2614994586381670.00802920722027122
0.250.2630630897587150.00816078163434561
0.260.2646296301866160.00820025527323527
0.270.2661833078107640.00815372831301988
0.280.2677096634802050.00803119284516477
0.290.2691961946805530.0078444937702877
0.30.2706326786079230.00760565067639936
0.310.2720112382234720.007326308111008
0.320.2733262326302720.00701719494148182
0.330.2745740499110910.00668777925519884
0.340.2757528636856730.00634592742448253
0.350.2768623920370490.00599958860904381
0.360.2779036758494070.00565557323820853
0.370.2788788773850240.00532020695807064
0.380.2797910908883770.00499909145862423
0.390.2806441547592130.00469715197440825
0.40.2814424576484600.00441733159023304
0.410.2821907364518670.00416226379153928
0.420.282893870461480.00393336633938442
0.430.2835566811776370.00373000932947866
0.440.2841837503312700.00355074225558687
0.450.2847792689356140.00339281018485619
0.460.2853469276684680.00325336928943497
0.470.2858898541377160.00312854052192313
0.480.2864105966603470.00301424706608158
0.490.2869111484569870.00290786144834136
0.50.2873930019945930.00280615609819388
0.510.2878572215805470.00270716277604346
0.520.2883045235000660.00261068474174403
0.530.2887353564389870.00251396696675409
0.540.2891499793856340.00241778076218626
0.550.2895485380721890.00232090272306402
0.560.2899311428958490.00222334819028425
0.570.2902979504129610.00212544926625232
0.580.2906492471252610.0020281513577311
0.590.2909855294944430.00193253387539335
0.60.2913075696405370.00184058418270993
0.610.2916164537761530.00175452929320830
0.620.2919135813752080.00167728567119151
0.630.2922006177158650.00161067469072138
0.640.2924794000396240.00155614478885304
0.650.2927518064934080.00151407427896643
0.660.2930196051715740.00148321840621494
0.670.2932843059788920.00146113788945452
0.680.2935470393984780.00144511181474798
0.690.2938084833000490.00143120203324211
0.70.2940688524560390.00141614781790511
0.710.2943279570136890.00139770492252550
0.720.2945853276150630.00137400478885692
0.730.2948403976333010.00134436225705171
0.740.2950927277866090.00130996931091666
0.750.2953422550118200.00127304598554243
0.760.2955895452177250.00123667344425502
0.770.2958360278798220.00120595182114917
0.780.2960841898263910.00118618682456352
0.790.2963377077234960.00118340358065729
0.80.2966015060436640.00120357363317094
0.810.2968817408210820.00125191461324944
0.820.2971857265768250.00133106774224696
0.830.2975218362340680.00144223492409731
0.840.2978993994276000.00158434495816032
0.850.2983285939408290.0017568369454425
0.860.2988202727688830.00195816084951959
0.870.2993856240009860.00218654441476554
0.880.3000355717273480.00243735868132291
0.890.3007799389490280.00269988978367787
0.90.3016266082913940.00295620631504598
0.910.3025811610370610.00318401805337786
0.920.3036476288021880.00336341591555585
0.930.3048309330853080.00348521537162057
0.940.3061410789408080.00355386862791117
0.950.3075973440953770.003584763863353
0.960.3092256241260710.00360383239050608
0.970.3110330333323970.00366428894442252
0.980.3129406303415820.00385680270337422
0.990.3146896933683460.00421556245628141


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')