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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 computationSun, 26 Oct 2008 09:51:04 -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/26/t12250364310hpr47snt0vouw3.htm/, Retrieved Thu, 06 Aug 2026 10:58:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18954, Retrieved Thu, 06 Aug 2026 10:58:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact521

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] [Q5 Distributions] [2007-10-22 09:17:45] [b731da8b544846036771bbf9bf2f34ce]
F   PD    [Harrell-Davis Quantiles] [Q5 confidence int...] [2008-10-26 15:51:04] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
Feedback Forum
2008-10-31 20:11:43 [Jan Van Riet] [reply] 
Deze berekening klopt.
We willen de random component hebben dus ga je van de minima en maxima het gemiddelde aftrekken, omdat dit de constante factor is.

Dit kunnen we doen in een excel-file, maar ook door dit rechtstreeks aan te passen in de R-code (x <- x - gemiddelde).
2008-11-03 08:25:16 [Glenn De Maeyer] [reply] 
De student voerde hier een correcte berekening uit. De opgave had te maken met de 95% confidence interval of the prediction error (voorspellingsfout). Eerder (bij Q2 assumptie 4) werkten we met de random component. Daar werden de formules Yt = C + Et en Ft = Yt - Et = c gebruikt. Aangezien we kunnen stellen dat c (=constante) de voorspelling is, kunnen we ook stellen dat de random component (Et) de voorspellingsfout is. Welke voorspelling moet je er nu aftrekken? Als er outliers zijn neem je best de mediaan (deze is robuuster tegen outliers), indien er geen outliers neem je het gemiddelde. Daarom dus brengen we het gemiddelde in mindering van het minimum en het maximum.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,99
0,92
0,93
0,93
1,07
0,85
1,03
0,99
0,91
0,79
0,98
0,99
0,91
0,88
0,83
0,83
1,02
0,82
1,03
0,91
0,81
0,74
0,99
0,97
0,85
0,86
0,78
0,79
0,93
0,74
0,89
0,84
0,82
0,73
0,92
0,92
0,88
0,82
0,77
0,83
0,92
0,76
0,87
0,82
0,80
0,71
0,83
0,91
0,87
0,78
0,75
0,76
0,92
0,74
0,82
0,77
0,78
0,68
0,85
0,90
0,87

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18954&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18954&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0250.704300223775320.0216705100164706
0.030.7098449963409890.019898101790598
0.0350.7149688305193640.0181658374794494
0.040.719584586335730.0164973985000073
0.0450.7236738306982260.0149320643170635
0.050.7272633143850120.0135200236899052
0.0550.7304057806641310.0123129179368339
0.060.7331660423307540.0113530379065303
0.0650.7356117231196340.0106667931378226
0.070.7378075321110760.0102555318123724
0.0750.7398119748757230.0100957841561224
0.080.741675660513070.0101439448988436
0.0850.743440640171280.0103452471356505
0.090.7451404253299380.0106454297830635
0.0950.7468004680263120.0109956496156571
0.10.7484389570104530.0113567511168418
0.1050.7500678178728010.0116995743651474
0.110.7516938217988880.0120038016021861
0.1150.7533197195359590.0122577893985301
0.120.7549453303696750.0124566565619037
0.1250.7565685317629340.0126007410198417
0.130.7581861127455520.0126938786083839
0.1350.7597944712987170.0127440867974884
0.140.7613901511324420.0127603271073115
0.1450.7629702252628720.0127518866517497
0.150.7645325421789880.012730091554938
0.1550.766075855234540.0127033824211204
0.160.7675998577000530.0126820474023146
0.1650.7691051453696850.0126728978301890
0.170.7705931265108840.0126835863914231
0.1750.7720658959918310.0127200720059746
0.180.773526087218430.0127867341866925
0.1850.7749767124944010.0128848132514507
0.190.776420999854910.0130168589419847
0.1950.7778622324370260.0131824919279555
0.20.7793035950410870.0133792638239547
0.2050.7807480316238760.0136034381117238
0.210.782198116917390.0138502575294115
0.2150.7836559450389020.0141130119758550
0.220.7851230377098310.0143843141006615
0.2250.7866002744185020.0146561929705374
0.230.7880878464657270.0149204497755614
0.2350.78958523628090.0151679099347271
0.240.791091222684660.0153906854905040
0.2450.7926039119273210.0155801772476093
0.250.7941207933983010.0157301860536652
0.2550.7956388179425440.0158344564820207
0.260.7971544958031590.0158878669513172
0.2650.7986640104003950.0158880790329646
0.270.8001633435124950.0158340406664293
0.2750.801648406987490.0157246203179212
0.280.8031151759141510.0155622721024531
0.2850.8045598182252920.0153502961637555
0.290.805978815990420.0150927825940047
0.2950.8073690741551150.0147967443636773
0.30.8087280131660870.0144685093678446
0.3050.8100536427388420.0141153426366991
0.310.8113446149284370.0137473184287137
0.3150.8126002556001780.0133719165690060
0.320.8138205743148930.0129991295856794
0.3250.8150062534962280.0126365920656438
0.330.8161586184960370.0122936356537062
0.3350.8172795907888230.0119770702098744
0.340.8183716269877770.0116946193511517
0.3450.8194376466749340.0114515525892263
0.350.8204809521777990.0112529429085974
0.3550.8215051434152880.0111014197365865
0.360.8225140307952410.010999659627745
0.3650.8235115488974890.0109477734358669
0.370.8245016733474870.0109464198725327
0.3750.8254883429035050.0109931007694523
0.380.8264753883722560.0110853666437776
0.3850.8274664695579080.0112205638661813
0.390.8284650210579380.0113934494815145
0.3950.8294742073620330.0116009018973178
0.40.8304968873977370.0118377710108104
0.4050.831535588404610.0120995035156501
0.410.8325924888083690.0123815303981410
0.4150.8336694096054620.0126789822256679
0.420.8347678136513140.0129872303156284
0.4250.8358888121648770.0133021864947266
0.430.837033177710170.0136196681678444
0.4350.8382013628839520.0139359989666353
0.440.8393935239203030.0142476384269921
0.4450.840609548411490.0145523172936869
0.450.8418490863355680.0148462726424358
0.4550.8431115835719030.0151286665705089
0.460.8443963170750460.0153968574410418
0.4650.8457024308658420.0156514568224672
0.470.8470289719879260.0158888458140516
0.4750.8483749255710910.0161107155798414
0.480.8497392481438540.0163170168398825
0.4850.8511208983502540.0165072626562962
0.490.8525188642545780.0166835964786100
0.4950.8539321864664780.0168461130125906
0.50.8553599763912380.0169958250296389
0.5050.8568014290085480.0171360070011546
0.510.8582558297095790.0172662956343239
0.5150.8597225548766470.0173893712601468
0.520.8612010660709530.0175061026742448
0.5250.8626908978985140.0176186506159529
0.530.8641916398474020.0177271432733880
0.5350.865702912623730.0178325809743100
0.540.8672243397505650.0179354792646741
0.5450.868755515422840.0180353593201978
0.550.8702959698207070.0181320155244646
0.5550.8718451332617970.0182230128596788
0.560.8734023007074450.0183077662975503
0.5650.8749665982184830.0183828934562379
0.570.8765369529736030.0184463808146833
0.5750.878112068411280.0184952850532389
0.580.879690405932220.0185246727014246
0.5850.8812701744043340.0185319229683955
0.590.8828493284521980.0185138103656993
0.5950.8844255761979120.0184666748473341
0.60.8859963967644620.0183855781746181
0.6050.8875590674740030.0182702374435566
0.610.8891107002920840.0181164266371800
0.6150.8906482867063920.0179232845951886
0.620.8921687499064180.0176897336530753
0.6250.8936690028681530.0174158042740473
0.630.895146010761840.0171020082981199
0.6350.8965968560025560.0167501453461214
0.640.8980188042588310.0163625277823769
0.6450.8994093698229420.0159423552840085
0.650.900766378920430.0154943700489033
0.6550.9020880297816230.0150223367314834
0.660.9033729485945620.0145319815828029
0.6650.9046202407817620.014029792621004
0.670.905829537364960.0135203292570985
0.6750.9070010364727610.0130112917810563
0.680.9081355402772590.0125093891760375
0.6850.9092344877909450.0120211829058130
0.690.9102999839925860.0115538848908445
0.6950.9113348256644970.0111151347888026
0.70.9123425241054110.0107123284371675
0.7050.913327324533090.0103529021597579
0.710.9142942215186130.0100453762165042
0.7150.9152489692194540.0097974605179079
0.720.9161980845306090.00961840694887808
0.7250.9171488405923210.00951648107667327
0.730.918109247429110.00950056056842361
0.7350.9190880159072290.00957855807009369
0.740.9200945007536010.00975759221647046
0.7450.9211386181523020.0100447763823385
0.750.9222307335011820.0104431663572113
0.7550.9233815153469380.01095514391496
0.760.924601752390260.0115801587363620
0.7650.9259021318184230.0123143847965651
0.770.9272929791132250.0131521161314924
0.7750.9287839618983830.0140846710486466
0.780.9303837632924940.0150986330666529
0.7850.9320997335324590.0161783375672453
0.790.9339375321832530.0173052540392484
0.7950.9359007768501080.0184564955443016
0.80.937990717698340.0196074476016893
0.8050.940205959954140.0207299446723496
0.810.9425422585588950.0217947446358812
0.8150.9449924099143520.0227713498747957
0.820.947546264825930.023629841040952
0.8250.950190884001580.0243411998027985
0.830.9529108525355070.0248804178650263
0.8350.9556887625423760.0252257777054356
0.840.9585058634881610.0253629722171458
0.8450.9613428679407430.0252836819176938
0.850.9641808867999360.0249884910510709
0.8550.967002453175070.0244879883611272
0.860.9697925788604120.023802452480233
0.8650.972539773045750.0229617545827468
0.870.9752369410863720.0220061083343501
0.8750.9778820738210070.0209839523582308
0.880.980478637416160.0199516220897085
0.8850.9830355826782420.0189704331793296
0.890.985566913994880.0181027036227214
0.8950.988090794154340.0174061270858631
0.90.99062821416410.0169250032337177
0.9050.9932013272450580.0166821398953368
0.910.9958316310670250.0166699999186468
0.9150.9985382751699410.0168486913540258
0.921.001336857751020.0171506672653043
0.9251.004239134486520.0174905503729930
0.931.007254056781710.0177773514719896
0.9351.010390440141130.0179306304679235
0.941.013661278662930.0178932968299711
0.9451.017089216098910.0176501245954888
0.951.020711935162180.0172482830632603
0.9551.024585288851690.0168193889721676
0.961.028781064621580.0166009255666754
0.9651.033375745358690.0169256553778928
0.971.038427149754310.0181401809021045
0.9751.043938201923120.0204502954920460

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 0.70430022377532 & 0.0216705100164706 \tabularnewline
0.03 & 0.709844996340989 & 0.019898101790598 \tabularnewline
0.035 & 0.714968830519364 & 0.0181658374794494 \tabularnewline
0.04 & 0.71958458633573 & 0.0164973985000073 \tabularnewline
0.045 & 0.723673830698226 & 0.0149320643170635 \tabularnewline
0.05 & 0.727263314385012 & 0.0135200236899052 \tabularnewline
0.055 & 0.730405780664131 & 0.0123129179368339 \tabularnewline
0.06 & 0.733166042330754 & 0.0113530379065303 \tabularnewline
0.065 & 0.735611723119634 & 0.0106667931378226 \tabularnewline
0.07 & 0.737807532111076 & 0.0102555318123724 \tabularnewline
0.075 & 0.739811974875723 & 0.0100957841561224 \tabularnewline
0.08 & 0.74167566051307 & 0.0101439448988436 \tabularnewline
0.085 & 0.74344064017128 & 0.0103452471356505 \tabularnewline
0.09 & 0.745140425329938 & 0.0106454297830635 \tabularnewline
0.095 & 0.746800468026312 & 0.0109956496156571 \tabularnewline
0.1 & 0.748438957010453 & 0.0113567511168418 \tabularnewline
0.105 & 0.750067817872801 & 0.0116995743651474 \tabularnewline
0.11 & 0.751693821798888 & 0.0120038016021861 \tabularnewline
0.115 & 0.753319719535959 & 0.0122577893985301 \tabularnewline
0.12 & 0.754945330369675 & 0.0124566565619037 \tabularnewline
0.125 & 0.756568531762934 & 0.0126007410198417 \tabularnewline
0.13 & 0.758186112745552 & 0.0126938786083839 \tabularnewline
0.135 & 0.759794471298717 & 0.0127440867974884 \tabularnewline
0.14 & 0.761390151132442 & 0.0127603271073115 \tabularnewline
0.145 & 0.762970225262872 & 0.0127518866517497 \tabularnewline
0.15 & 0.764532542178988 & 0.012730091554938 \tabularnewline
0.155 & 0.76607585523454 & 0.0127033824211204 \tabularnewline
0.16 & 0.767599857700053 & 0.0126820474023146 \tabularnewline
0.165 & 0.769105145369685 & 0.0126728978301890 \tabularnewline
0.17 & 0.770593126510884 & 0.0126835863914231 \tabularnewline
0.175 & 0.772065895991831 & 0.0127200720059746 \tabularnewline
0.18 & 0.77352608721843 & 0.0127867341866925 \tabularnewline
0.185 & 0.774976712494401 & 0.0128848132514507 \tabularnewline
0.19 & 0.77642099985491 & 0.0130168589419847 \tabularnewline
0.195 & 0.777862232437026 & 0.0131824919279555 \tabularnewline
0.2 & 0.779303595041087 & 0.0133792638239547 \tabularnewline
0.205 & 0.780748031623876 & 0.0136034381117238 \tabularnewline
0.21 & 0.78219811691739 & 0.0138502575294115 \tabularnewline
0.215 & 0.783655945038902 & 0.0141130119758550 \tabularnewline
0.22 & 0.785123037709831 & 0.0143843141006615 \tabularnewline
0.225 & 0.786600274418502 & 0.0146561929705374 \tabularnewline
0.23 & 0.788087846465727 & 0.0149204497755614 \tabularnewline
0.235 & 0.7895852362809 & 0.0151679099347271 \tabularnewline
0.24 & 0.79109122268466 & 0.0153906854905040 \tabularnewline
0.245 & 0.792603911927321 & 0.0155801772476093 \tabularnewline
0.25 & 0.794120793398301 & 0.0157301860536652 \tabularnewline
0.255 & 0.795638817942544 & 0.0158344564820207 \tabularnewline
0.26 & 0.797154495803159 & 0.0158878669513172 \tabularnewline
0.265 & 0.798664010400395 & 0.0158880790329646 \tabularnewline
0.27 & 0.800163343512495 & 0.0158340406664293 \tabularnewline
0.275 & 0.80164840698749 & 0.0157246203179212 \tabularnewline
0.28 & 0.803115175914151 & 0.0155622721024531 \tabularnewline
0.285 & 0.804559818225292 & 0.0153502961637555 \tabularnewline
0.29 & 0.80597881599042 & 0.0150927825940047 \tabularnewline
0.295 & 0.807369074155115 & 0.0147967443636773 \tabularnewline
0.3 & 0.808728013166087 & 0.0144685093678446 \tabularnewline
0.305 & 0.810053642738842 & 0.0141153426366991 \tabularnewline
0.31 & 0.811344614928437 & 0.0137473184287137 \tabularnewline
0.315 & 0.812600255600178 & 0.0133719165690060 \tabularnewline
0.32 & 0.813820574314893 & 0.0129991295856794 \tabularnewline
0.325 & 0.815006253496228 & 0.0126365920656438 \tabularnewline
0.33 & 0.816158618496037 & 0.0122936356537062 \tabularnewline
0.335 & 0.817279590788823 & 0.0119770702098744 \tabularnewline
0.34 & 0.818371626987777 & 0.0116946193511517 \tabularnewline
0.345 & 0.819437646674934 & 0.0114515525892263 \tabularnewline
0.35 & 0.820480952177799 & 0.0112529429085974 \tabularnewline
0.355 & 0.821505143415288 & 0.0111014197365865 \tabularnewline
0.36 & 0.822514030795241 & 0.010999659627745 \tabularnewline
0.365 & 0.823511548897489 & 0.0109477734358669 \tabularnewline
0.37 & 0.824501673347487 & 0.0109464198725327 \tabularnewline
0.375 & 0.825488342903505 & 0.0109931007694523 \tabularnewline
0.38 & 0.826475388372256 & 0.0110853666437776 \tabularnewline
0.385 & 0.827466469557908 & 0.0112205638661813 \tabularnewline
0.39 & 0.828465021057938 & 0.0113934494815145 \tabularnewline
0.395 & 0.829474207362033 & 0.0116009018973178 \tabularnewline
0.4 & 0.830496887397737 & 0.0118377710108104 \tabularnewline
0.405 & 0.83153558840461 & 0.0120995035156501 \tabularnewline
0.41 & 0.832592488808369 & 0.0123815303981410 \tabularnewline
0.415 & 0.833669409605462 & 0.0126789822256679 \tabularnewline
0.42 & 0.834767813651314 & 0.0129872303156284 \tabularnewline
0.425 & 0.835888812164877 & 0.0133021864947266 \tabularnewline
0.43 & 0.83703317771017 & 0.0136196681678444 \tabularnewline
0.435 & 0.838201362883952 & 0.0139359989666353 \tabularnewline
0.44 & 0.839393523920303 & 0.0142476384269921 \tabularnewline
0.445 & 0.84060954841149 & 0.0145523172936869 \tabularnewline
0.45 & 0.841849086335568 & 0.0148462726424358 \tabularnewline
0.455 & 0.843111583571903 & 0.0151286665705089 \tabularnewline
0.46 & 0.844396317075046 & 0.0153968574410418 \tabularnewline
0.465 & 0.845702430865842 & 0.0156514568224672 \tabularnewline
0.47 & 0.847028971987926 & 0.0158888458140516 \tabularnewline
0.475 & 0.848374925571091 & 0.0161107155798414 \tabularnewline
0.48 & 0.849739248143854 & 0.0163170168398825 \tabularnewline
0.485 & 0.851120898350254 & 0.0165072626562962 \tabularnewline
0.49 & 0.852518864254578 & 0.0166835964786100 \tabularnewline
0.495 & 0.853932186466478 & 0.0168461130125906 \tabularnewline
0.5 & 0.855359976391238 & 0.0169958250296389 \tabularnewline
0.505 & 0.856801429008548 & 0.0171360070011546 \tabularnewline
0.51 & 0.858255829709579 & 0.0172662956343239 \tabularnewline
0.515 & 0.859722554876647 & 0.0173893712601468 \tabularnewline
0.52 & 0.861201066070953 & 0.0175061026742448 \tabularnewline
0.525 & 0.862690897898514 & 0.0176186506159529 \tabularnewline
0.53 & 0.864191639847402 & 0.0177271432733880 \tabularnewline
0.535 & 0.86570291262373 & 0.0178325809743100 \tabularnewline
0.54 & 0.867224339750565 & 0.0179354792646741 \tabularnewline
0.545 & 0.86875551542284 & 0.0180353593201978 \tabularnewline
0.55 & 0.870295969820707 & 0.0181320155244646 \tabularnewline
0.555 & 0.871845133261797 & 0.0182230128596788 \tabularnewline
0.56 & 0.873402300707445 & 0.0183077662975503 \tabularnewline
0.565 & 0.874966598218483 & 0.0183828934562379 \tabularnewline
0.57 & 0.876536952973603 & 0.0184463808146833 \tabularnewline
0.575 & 0.87811206841128 & 0.0184952850532389 \tabularnewline
0.58 & 0.87969040593222 & 0.0185246727014246 \tabularnewline
0.585 & 0.881270174404334 & 0.0185319229683955 \tabularnewline
0.59 & 0.882849328452198 & 0.0185138103656993 \tabularnewline
0.595 & 0.884425576197912 & 0.0184666748473341 \tabularnewline
0.6 & 0.885996396764462 & 0.0183855781746181 \tabularnewline
0.605 & 0.887559067474003 & 0.0182702374435566 \tabularnewline
0.61 & 0.889110700292084 & 0.0181164266371800 \tabularnewline
0.615 & 0.890648286706392 & 0.0179232845951886 \tabularnewline
0.62 & 0.892168749906418 & 0.0176897336530753 \tabularnewline
0.625 & 0.893669002868153 & 0.0174158042740473 \tabularnewline
0.63 & 0.89514601076184 & 0.0171020082981199 \tabularnewline
0.635 & 0.896596856002556 & 0.0167501453461214 \tabularnewline
0.64 & 0.898018804258831 & 0.0163625277823769 \tabularnewline
0.645 & 0.899409369822942 & 0.0159423552840085 \tabularnewline
0.65 & 0.90076637892043 & 0.0154943700489033 \tabularnewline
0.655 & 0.902088029781623 & 0.0150223367314834 \tabularnewline
0.66 & 0.903372948594562 & 0.0145319815828029 \tabularnewline
0.665 & 0.904620240781762 & 0.014029792621004 \tabularnewline
0.67 & 0.90582953736496 & 0.0135203292570985 \tabularnewline
0.675 & 0.907001036472761 & 0.0130112917810563 \tabularnewline
0.68 & 0.908135540277259 & 0.0125093891760375 \tabularnewline
0.685 & 0.909234487790945 & 0.0120211829058130 \tabularnewline
0.69 & 0.910299983992586 & 0.0115538848908445 \tabularnewline
0.695 & 0.911334825664497 & 0.0111151347888026 \tabularnewline
0.7 & 0.912342524105411 & 0.0107123284371675 \tabularnewline
0.705 & 0.91332732453309 & 0.0103529021597579 \tabularnewline
0.71 & 0.914294221518613 & 0.0100453762165042 \tabularnewline
0.715 & 0.915248969219454 & 0.0097974605179079 \tabularnewline
0.72 & 0.916198084530609 & 0.00961840694887808 \tabularnewline
0.725 & 0.917148840592321 & 0.00951648107667327 \tabularnewline
0.73 & 0.91810924742911 & 0.00950056056842361 \tabularnewline
0.735 & 0.919088015907229 & 0.00957855807009369 \tabularnewline
0.74 & 0.920094500753601 & 0.00975759221647046 \tabularnewline
0.745 & 0.921138618152302 & 0.0100447763823385 \tabularnewline
0.75 & 0.922230733501182 & 0.0104431663572113 \tabularnewline
0.755 & 0.923381515346938 & 0.01095514391496 \tabularnewline
0.76 & 0.92460175239026 & 0.0115801587363620 \tabularnewline
0.765 & 0.925902131818423 & 0.0123143847965651 \tabularnewline
0.77 & 0.927292979113225 & 0.0131521161314924 \tabularnewline
0.775 & 0.928783961898383 & 0.0140846710486466 \tabularnewline
0.78 & 0.930383763292494 & 0.0150986330666529 \tabularnewline
0.785 & 0.932099733532459 & 0.0161783375672453 \tabularnewline
0.79 & 0.933937532183253 & 0.0173052540392484 \tabularnewline
0.795 & 0.935900776850108 & 0.0184564955443016 \tabularnewline
0.8 & 0.93799071769834 & 0.0196074476016893 \tabularnewline
0.805 & 0.94020595995414 & 0.0207299446723496 \tabularnewline
0.81 & 0.942542258558895 & 0.0217947446358812 \tabularnewline
0.815 & 0.944992409914352 & 0.0227713498747957 \tabularnewline
0.82 & 0.94754626482593 & 0.023629841040952 \tabularnewline
0.825 & 0.95019088400158 & 0.0243411998027985 \tabularnewline
0.83 & 0.952910852535507 & 0.0248804178650263 \tabularnewline
0.835 & 0.955688762542376 & 0.0252257777054356 \tabularnewline
0.84 & 0.958505863488161 & 0.0253629722171458 \tabularnewline
0.845 & 0.961342867940743 & 0.0252836819176938 \tabularnewline
0.85 & 0.964180886799936 & 0.0249884910510709 \tabularnewline
0.855 & 0.96700245317507 & 0.0244879883611272 \tabularnewline
0.86 & 0.969792578860412 & 0.023802452480233 \tabularnewline
0.865 & 0.97253977304575 & 0.0229617545827468 \tabularnewline
0.87 & 0.975236941086372 & 0.0220061083343501 \tabularnewline
0.875 & 0.977882073821007 & 0.0209839523582308 \tabularnewline
0.88 & 0.98047863741616 & 0.0199516220897085 \tabularnewline
0.885 & 0.983035582678242 & 0.0189704331793296 \tabularnewline
0.89 & 0.98556691399488 & 0.0181027036227214 \tabularnewline
0.895 & 0.98809079415434 & 0.0174061270858631 \tabularnewline
0.9 & 0.9906282141641 & 0.0169250032337177 \tabularnewline
0.905 & 0.993201327245058 & 0.0166821398953368 \tabularnewline
0.91 & 0.995831631067025 & 0.0166699999186468 \tabularnewline
0.915 & 0.998538275169941 & 0.0168486913540258 \tabularnewline
0.92 & 1.00133685775102 & 0.0171506672653043 \tabularnewline
0.925 & 1.00423913448652 & 0.0174905503729930 \tabularnewline
0.93 & 1.00725405678171 & 0.0177773514719896 \tabularnewline
0.935 & 1.01039044014113 & 0.0179306304679235 \tabularnewline
0.94 & 1.01366127866293 & 0.0178932968299711 \tabularnewline
0.945 & 1.01708921609891 & 0.0176501245954888 \tabularnewline
0.95 & 1.02071193516218 & 0.0172482830632603 \tabularnewline
0.955 & 1.02458528885169 & 0.0168193889721676 \tabularnewline
0.96 & 1.02878106462158 & 0.0166009255666754 \tabularnewline
0.965 & 1.03337574535869 & 0.0169256553778928 \tabularnewline
0.97 & 1.03842714975431 & 0.0181401809021045 \tabularnewline
0.975 & 1.04393820192312 & 0.0204502954920460 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18954&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]0.70430022377532[/C][C]0.0216705100164706[/C][/ROW]
[ROW][C]0.03[/C][C]0.709844996340989[/C][C]0.019898101790598[/C][/ROW]
[ROW][C]0.035[/C][C]0.714968830519364[/C][C]0.0181658374794494[/C][/ROW]
[ROW][C]0.04[/C][C]0.71958458633573[/C][C]0.0164973985000073[/C][/ROW]
[ROW][C]0.045[/C][C]0.723673830698226[/C][C]0.0149320643170635[/C][/ROW]
[ROW][C]0.05[/C][C]0.727263314385012[/C][C]0.0135200236899052[/C][/ROW]
[ROW][C]0.055[/C][C]0.730405780664131[/C][C]0.0123129179368339[/C][/ROW]
[ROW][C]0.06[/C][C]0.733166042330754[/C][C]0.0113530379065303[/C][/ROW]
[ROW][C]0.065[/C][C]0.735611723119634[/C][C]0.0106667931378226[/C][/ROW]
[ROW][C]0.07[/C][C]0.737807532111076[/C][C]0.0102555318123724[/C][/ROW]
[ROW][C]0.075[/C][C]0.739811974875723[/C][C]0.0100957841561224[/C][/ROW]
[ROW][C]0.08[/C][C]0.74167566051307[/C][C]0.0101439448988436[/C][/ROW]
[ROW][C]0.085[/C][C]0.74344064017128[/C][C]0.0103452471356505[/C][/ROW]
[ROW][C]0.09[/C][C]0.745140425329938[/C][C]0.0106454297830635[/C][/ROW]
[ROW][C]0.095[/C][C]0.746800468026312[/C][C]0.0109956496156571[/C][/ROW]
[ROW][C]0.1[/C][C]0.748438957010453[/C][C]0.0113567511168418[/C][/ROW]
[ROW][C]0.105[/C][C]0.750067817872801[/C][C]0.0116995743651474[/C][/ROW]
[ROW][C]0.11[/C][C]0.751693821798888[/C][C]0.0120038016021861[/C][/ROW]
[ROW][C]0.115[/C][C]0.753319719535959[/C][C]0.0122577893985301[/C][/ROW]
[ROW][C]0.12[/C][C]0.754945330369675[/C][C]0.0124566565619037[/C][/ROW]
[ROW][C]0.125[/C][C]0.756568531762934[/C][C]0.0126007410198417[/C][/ROW]
[ROW][C]0.13[/C][C]0.758186112745552[/C][C]0.0126938786083839[/C][/ROW]
[ROW][C]0.135[/C][C]0.759794471298717[/C][C]0.0127440867974884[/C][/ROW]
[ROW][C]0.14[/C][C]0.761390151132442[/C][C]0.0127603271073115[/C][/ROW]
[ROW][C]0.145[/C][C]0.762970225262872[/C][C]0.0127518866517497[/C][/ROW]
[ROW][C]0.15[/C][C]0.764532542178988[/C][C]0.012730091554938[/C][/ROW]
[ROW][C]0.155[/C][C]0.76607585523454[/C][C]0.0127033824211204[/C][/ROW]
[ROW][C]0.16[/C][C]0.767599857700053[/C][C]0.0126820474023146[/C][/ROW]
[ROW][C]0.165[/C][C]0.769105145369685[/C][C]0.0126728978301890[/C][/ROW]
[ROW][C]0.17[/C][C]0.770593126510884[/C][C]0.0126835863914231[/C][/ROW]
[ROW][C]0.175[/C][C]0.772065895991831[/C][C]0.0127200720059746[/C][/ROW]
[ROW][C]0.18[/C][C]0.77352608721843[/C][C]0.0127867341866925[/C][/ROW]
[ROW][C]0.185[/C][C]0.774976712494401[/C][C]0.0128848132514507[/C][/ROW]
[ROW][C]0.19[/C][C]0.77642099985491[/C][C]0.0130168589419847[/C][/ROW]
[ROW][C]0.195[/C][C]0.777862232437026[/C][C]0.0131824919279555[/C][/ROW]
[ROW][C]0.2[/C][C]0.779303595041087[/C][C]0.0133792638239547[/C][/ROW]
[ROW][C]0.205[/C][C]0.780748031623876[/C][C]0.0136034381117238[/C][/ROW]
[ROW][C]0.21[/C][C]0.78219811691739[/C][C]0.0138502575294115[/C][/ROW]
[ROW][C]0.215[/C][C]0.783655945038902[/C][C]0.0141130119758550[/C][/ROW]
[ROW][C]0.22[/C][C]0.785123037709831[/C][C]0.0143843141006615[/C][/ROW]
[ROW][C]0.225[/C][C]0.786600274418502[/C][C]0.0146561929705374[/C][/ROW]
[ROW][C]0.23[/C][C]0.788087846465727[/C][C]0.0149204497755614[/C][/ROW]
[ROW][C]0.235[/C][C]0.7895852362809[/C][C]0.0151679099347271[/C][/ROW]
[ROW][C]0.24[/C][C]0.79109122268466[/C][C]0.0153906854905040[/C][/ROW]
[ROW][C]0.245[/C][C]0.792603911927321[/C][C]0.0155801772476093[/C][/ROW]
[ROW][C]0.25[/C][C]0.794120793398301[/C][C]0.0157301860536652[/C][/ROW]
[ROW][C]0.255[/C][C]0.795638817942544[/C][C]0.0158344564820207[/C][/ROW]
[ROW][C]0.26[/C][C]0.797154495803159[/C][C]0.0158878669513172[/C][/ROW]
[ROW][C]0.265[/C][C]0.798664010400395[/C][C]0.0158880790329646[/C][/ROW]
[ROW][C]0.27[/C][C]0.800163343512495[/C][C]0.0158340406664293[/C][/ROW]
[ROW][C]0.275[/C][C]0.80164840698749[/C][C]0.0157246203179212[/C][/ROW]
[ROW][C]0.28[/C][C]0.803115175914151[/C][C]0.0155622721024531[/C][/ROW]
[ROW][C]0.285[/C][C]0.804559818225292[/C][C]0.0153502961637555[/C][/ROW]
[ROW][C]0.29[/C][C]0.80597881599042[/C][C]0.0150927825940047[/C][/ROW]
[ROW][C]0.295[/C][C]0.807369074155115[/C][C]0.0147967443636773[/C][/ROW]
[ROW][C]0.3[/C][C]0.808728013166087[/C][C]0.0144685093678446[/C][/ROW]
[ROW][C]0.305[/C][C]0.810053642738842[/C][C]0.0141153426366991[/C][/ROW]
[ROW][C]0.31[/C][C]0.811344614928437[/C][C]0.0137473184287137[/C][/ROW]
[ROW][C]0.315[/C][C]0.812600255600178[/C][C]0.0133719165690060[/C][/ROW]
[ROW][C]0.32[/C][C]0.813820574314893[/C][C]0.0129991295856794[/C][/ROW]
[ROW][C]0.325[/C][C]0.815006253496228[/C][C]0.0126365920656438[/C][/ROW]
[ROW][C]0.33[/C][C]0.816158618496037[/C][C]0.0122936356537062[/C][/ROW]
[ROW][C]0.335[/C][C]0.817279590788823[/C][C]0.0119770702098744[/C][/ROW]
[ROW][C]0.34[/C][C]0.818371626987777[/C][C]0.0116946193511517[/C][/ROW]
[ROW][C]0.345[/C][C]0.819437646674934[/C][C]0.0114515525892263[/C][/ROW]
[ROW][C]0.35[/C][C]0.820480952177799[/C][C]0.0112529429085974[/C][/ROW]
[ROW][C]0.355[/C][C]0.821505143415288[/C][C]0.0111014197365865[/C][/ROW]
[ROW][C]0.36[/C][C]0.822514030795241[/C][C]0.010999659627745[/C][/ROW]
[ROW][C]0.365[/C][C]0.823511548897489[/C][C]0.0109477734358669[/C][/ROW]
[ROW][C]0.37[/C][C]0.824501673347487[/C][C]0.0109464198725327[/C][/ROW]
[ROW][C]0.375[/C][C]0.825488342903505[/C][C]0.0109931007694523[/C][/ROW]
[ROW][C]0.38[/C][C]0.826475388372256[/C][C]0.0110853666437776[/C][/ROW]
[ROW][C]0.385[/C][C]0.827466469557908[/C][C]0.0112205638661813[/C][/ROW]
[ROW][C]0.39[/C][C]0.828465021057938[/C][C]0.0113934494815145[/C][/ROW]
[ROW][C]0.395[/C][C]0.829474207362033[/C][C]0.0116009018973178[/C][/ROW]
[ROW][C]0.4[/C][C]0.830496887397737[/C][C]0.0118377710108104[/C][/ROW]
[ROW][C]0.405[/C][C]0.83153558840461[/C][C]0.0120995035156501[/C][/ROW]
[ROW][C]0.41[/C][C]0.832592488808369[/C][C]0.0123815303981410[/C][/ROW]
[ROW][C]0.415[/C][C]0.833669409605462[/C][C]0.0126789822256679[/C][/ROW]
[ROW][C]0.42[/C][C]0.834767813651314[/C][C]0.0129872303156284[/C][/ROW]
[ROW][C]0.425[/C][C]0.835888812164877[/C][C]0.0133021864947266[/C][/ROW]
[ROW][C]0.43[/C][C]0.83703317771017[/C][C]0.0136196681678444[/C][/ROW]
[ROW][C]0.435[/C][C]0.838201362883952[/C][C]0.0139359989666353[/C][/ROW]
[ROW][C]0.44[/C][C]0.839393523920303[/C][C]0.0142476384269921[/C][/ROW]
[ROW][C]0.445[/C][C]0.84060954841149[/C][C]0.0145523172936869[/C][/ROW]
[ROW][C]0.45[/C][C]0.841849086335568[/C][C]0.0148462726424358[/C][/ROW]
[ROW][C]0.455[/C][C]0.843111583571903[/C][C]0.0151286665705089[/C][/ROW]
[ROW][C]0.46[/C][C]0.844396317075046[/C][C]0.0153968574410418[/C][/ROW]
[ROW][C]0.465[/C][C]0.845702430865842[/C][C]0.0156514568224672[/C][/ROW]
[ROW][C]0.47[/C][C]0.847028971987926[/C][C]0.0158888458140516[/C][/ROW]
[ROW][C]0.475[/C][C]0.848374925571091[/C][C]0.0161107155798414[/C][/ROW]
[ROW][C]0.48[/C][C]0.849739248143854[/C][C]0.0163170168398825[/C][/ROW]
[ROW][C]0.485[/C][C]0.851120898350254[/C][C]0.0165072626562962[/C][/ROW]
[ROW][C]0.49[/C][C]0.852518864254578[/C][C]0.0166835964786100[/C][/ROW]
[ROW][C]0.495[/C][C]0.853932186466478[/C][C]0.0168461130125906[/C][/ROW]
[ROW][C]0.5[/C][C]0.855359976391238[/C][C]0.0169958250296389[/C][/ROW]
[ROW][C]0.505[/C][C]0.856801429008548[/C][C]0.0171360070011546[/C][/ROW]
[ROW][C]0.51[/C][C]0.858255829709579[/C][C]0.0172662956343239[/C][/ROW]
[ROW][C]0.515[/C][C]0.859722554876647[/C][C]0.0173893712601468[/C][/ROW]
[ROW][C]0.52[/C][C]0.861201066070953[/C][C]0.0175061026742448[/C][/ROW]
[ROW][C]0.525[/C][C]0.862690897898514[/C][C]0.0176186506159529[/C][/ROW]
[ROW][C]0.53[/C][C]0.864191639847402[/C][C]0.0177271432733880[/C][/ROW]
[ROW][C]0.535[/C][C]0.86570291262373[/C][C]0.0178325809743100[/C][/ROW]
[ROW][C]0.54[/C][C]0.867224339750565[/C][C]0.0179354792646741[/C][/ROW]
[ROW][C]0.545[/C][C]0.86875551542284[/C][C]0.0180353593201978[/C][/ROW]
[ROW][C]0.55[/C][C]0.870295969820707[/C][C]0.0181320155244646[/C][/ROW]
[ROW][C]0.555[/C][C]0.871845133261797[/C][C]0.0182230128596788[/C][/ROW]
[ROW][C]0.56[/C][C]0.873402300707445[/C][C]0.0183077662975503[/C][/ROW]
[ROW][C]0.565[/C][C]0.874966598218483[/C][C]0.0183828934562379[/C][/ROW]
[ROW][C]0.57[/C][C]0.876536952973603[/C][C]0.0184463808146833[/C][/ROW]
[ROW][C]0.575[/C][C]0.87811206841128[/C][C]0.0184952850532389[/C][/ROW]
[ROW][C]0.58[/C][C]0.87969040593222[/C][C]0.0185246727014246[/C][/ROW]
[ROW][C]0.585[/C][C]0.881270174404334[/C][C]0.0185319229683955[/C][/ROW]
[ROW][C]0.59[/C][C]0.882849328452198[/C][C]0.0185138103656993[/C][/ROW]
[ROW][C]0.595[/C][C]0.884425576197912[/C][C]0.0184666748473341[/C][/ROW]
[ROW][C]0.6[/C][C]0.885996396764462[/C][C]0.0183855781746181[/C][/ROW]
[ROW][C]0.605[/C][C]0.887559067474003[/C][C]0.0182702374435566[/C][/ROW]
[ROW][C]0.61[/C][C]0.889110700292084[/C][C]0.0181164266371800[/C][/ROW]
[ROW][C]0.615[/C][C]0.890648286706392[/C][C]0.0179232845951886[/C][/ROW]
[ROW][C]0.62[/C][C]0.892168749906418[/C][C]0.0176897336530753[/C][/ROW]
[ROW][C]0.625[/C][C]0.893669002868153[/C][C]0.0174158042740473[/C][/ROW]
[ROW][C]0.63[/C][C]0.89514601076184[/C][C]0.0171020082981199[/C][/ROW]
[ROW][C]0.635[/C][C]0.896596856002556[/C][C]0.0167501453461214[/C][/ROW]
[ROW][C]0.64[/C][C]0.898018804258831[/C][C]0.0163625277823769[/C][/ROW]
[ROW][C]0.645[/C][C]0.899409369822942[/C][C]0.0159423552840085[/C][/ROW]
[ROW][C]0.65[/C][C]0.90076637892043[/C][C]0.0154943700489033[/C][/ROW]
[ROW][C]0.655[/C][C]0.902088029781623[/C][C]0.0150223367314834[/C][/ROW]
[ROW][C]0.66[/C][C]0.903372948594562[/C][C]0.0145319815828029[/C][/ROW]
[ROW][C]0.665[/C][C]0.904620240781762[/C][C]0.014029792621004[/C][/ROW]
[ROW][C]0.67[/C][C]0.90582953736496[/C][C]0.0135203292570985[/C][/ROW]
[ROW][C]0.675[/C][C]0.907001036472761[/C][C]0.0130112917810563[/C][/ROW]
[ROW][C]0.68[/C][C]0.908135540277259[/C][C]0.0125093891760375[/C][/ROW]
[ROW][C]0.685[/C][C]0.909234487790945[/C][C]0.0120211829058130[/C][/ROW]
[ROW][C]0.69[/C][C]0.910299983992586[/C][C]0.0115538848908445[/C][/ROW]
[ROW][C]0.695[/C][C]0.911334825664497[/C][C]0.0111151347888026[/C][/ROW]
[ROW][C]0.7[/C][C]0.912342524105411[/C][C]0.0107123284371675[/C][/ROW]
[ROW][C]0.705[/C][C]0.91332732453309[/C][C]0.0103529021597579[/C][/ROW]
[ROW][C]0.71[/C][C]0.914294221518613[/C][C]0.0100453762165042[/C][/ROW]
[ROW][C]0.715[/C][C]0.915248969219454[/C][C]0.0097974605179079[/C][/ROW]
[ROW][C]0.72[/C][C]0.916198084530609[/C][C]0.00961840694887808[/C][/ROW]
[ROW][C]0.725[/C][C]0.917148840592321[/C][C]0.00951648107667327[/C][/ROW]
[ROW][C]0.73[/C][C]0.91810924742911[/C][C]0.00950056056842361[/C][/ROW]
[ROW][C]0.735[/C][C]0.919088015907229[/C][C]0.00957855807009369[/C][/ROW]
[ROW][C]0.74[/C][C]0.920094500753601[/C][C]0.00975759221647046[/C][/ROW]
[ROW][C]0.745[/C][C]0.921138618152302[/C][C]0.0100447763823385[/C][/ROW]
[ROW][C]0.75[/C][C]0.922230733501182[/C][C]0.0104431663572113[/C][/ROW]
[ROW][C]0.755[/C][C]0.923381515346938[/C][C]0.01095514391496[/C][/ROW]
[ROW][C]0.76[/C][C]0.92460175239026[/C][C]0.0115801587363620[/C][/ROW]
[ROW][C]0.765[/C][C]0.925902131818423[/C][C]0.0123143847965651[/C][/ROW]
[ROW][C]0.77[/C][C]0.927292979113225[/C][C]0.0131521161314924[/C][/ROW]
[ROW][C]0.775[/C][C]0.928783961898383[/C][C]0.0140846710486466[/C][/ROW]
[ROW][C]0.78[/C][C]0.930383763292494[/C][C]0.0150986330666529[/C][/ROW]
[ROW][C]0.785[/C][C]0.932099733532459[/C][C]0.0161783375672453[/C][/ROW]
[ROW][C]0.79[/C][C]0.933937532183253[/C][C]0.0173052540392484[/C][/ROW]
[ROW][C]0.795[/C][C]0.935900776850108[/C][C]0.0184564955443016[/C][/ROW]
[ROW][C]0.8[/C][C]0.93799071769834[/C][C]0.0196074476016893[/C][/ROW]
[ROW][C]0.805[/C][C]0.94020595995414[/C][C]0.0207299446723496[/C][/ROW]
[ROW][C]0.81[/C][C]0.942542258558895[/C][C]0.0217947446358812[/C][/ROW]
[ROW][C]0.815[/C][C]0.944992409914352[/C][C]0.0227713498747957[/C][/ROW]
[ROW][C]0.82[/C][C]0.94754626482593[/C][C]0.023629841040952[/C][/ROW]
[ROW][C]0.825[/C][C]0.95019088400158[/C][C]0.0243411998027985[/C][/ROW]
[ROW][C]0.83[/C][C]0.952910852535507[/C][C]0.0248804178650263[/C][/ROW]
[ROW][C]0.835[/C][C]0.955688762542376[/C][C]0.0252257777054356[/C][/ROW]
[ROW][C]0.84[/C][C]0.958505863488161[/C][C]0.0253629722171458[/C][/ROW]
[ROW][C]0.845[/C][C]0.961342867940743[/C][C]0.0252836819176938[/C][/ROW]
[ROW][C]0.85[/C][C]0.964180886799936[/C][C]0.0249884910510709[/C][/ROW]
[ROW][C]0.855[/C][C]0.96700245317507[/C][C]0.0244879883611272[/C][/ROW]
[ROW][C]0.86[/C][C]0.969792578860412[/C][C]0.023802452480233[/C][/ROW]
[ROW][C]0.865[/C][C]0.97253977304575[/C][C]0.0229617545827468[/C][/ROW]
[ROW][C]0.87[/C][C]0.975236941086372[/C][C]0.0220061083343501[/C][/ROW]
[ROW][C]0.875[/C][C]0.977882073821007[/C][C]0.0209839523582308[/C][/ROW]
[ROW][C]0.88[/C][C]0.98047863741616[/C][C]0.0199516220897085[/C][/ROW]
[ROW][C]0.885[/C][C]0.983035582678242[/C][C]0.0189704331793296[/C][/ROW]
[ROW][C]0.89[/C][C]0.98556691399488[/C][C]0.0181027036227214[/C][/ROW]
[ROW][C]0.895[/C][C]0.98809079415434[/C][C]0.0174061270858631[/C][/ROW]
[ROW][C]0.9[/C][C]0.9906282141641[/C][C]0.0169250032337177[/C][/ROW]
[ROW][C]0.905[/C][C]0.993201327245058[/C][C]0.0166821398953368[/C][/ROW]
[ROW][C]0.91[/C][C]0.995831631067025[/C][C]0.0166699999186468[/C][/ROW]
[ROW][C]0.915[/C][C]0.998538275169941[/C][C]0.0168486913540258[/C][/ROW]
[ROW][C]0.92[/C][C]1.00133685775102[/C][C]0.0171506672653043[/C][/ROW]
[ROW][C]0.925[/C][C]1.00423913448652[/C][C]0.0174905503729930[/C][/ROW]
[ROW][C]0.93[/C][C]1.00725405678171[/C][C]0.0177773514719896[/C][/ROW]
[ROW][C]0.935[/C][C]1.01039044014113[/C][C]0.0179306304679235[/C][/ROW]
[ROW][C]0.94[/C][C]1.01366127866293[/C][C]0.0178932968299711[/C][/ROW]
[ROW][C]0.945[/C][C]1.01708921609891[/C][C]0.0176501245954888[/C][/ROW]
[ROW][C]0.95[/C][C]1.02071193516218[/C][C]0.0172482830632603[/C][/ROW]
[ROW][C]0.955[/C][C]1.02458528885169[/C][C]0.0168193889721676[/C][/ROW]
[ROW][C]0.96[/C][C]1.02878106462158[/C][C]0.0166009255666754[/C][/ROW]
[ROW][C]0.965[/C][C]1.03337574535869[/C][C]0.0169256553778928[/C][/ROW]
[ROW][C]0.97[/C][C]1.03842714975431[/C][C]0.0181401809021045[/C][/ROW]
[ROW][C]0.975[/C][C]1.04393820192312[/C][C]0.0204502954920460[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18954&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
0.0250.704300223775320.0216705100164706
0.030.7098449963409890.019898101790598
0.0350.7149688305193640.0181658374794494
0.040.719584586335730.0164973985000073
0.0450.7236738306982260.0149320643170635
0.050.7272633143850120.0135200236899052
0.0550.7304057806641310.0123129179368339
0.060.7331660423307540.0113530379065303
0.0650.7356117231196340.0106667931378226
0.070.7378075321110760.0102555318123724
0.0750.7398119748757230.0100957841561224
0.080.741675660513070.0101439448988436
0.0850.743440640171280.0103452471356505
0.090.7451404253299380.0106454297830635
0.0950.7468004680263120.0109956496156571
0.10.7484389570104530.0113567511168418
0.1050.7500678178728010.0116995743651474
0.110.7516938217988880.0120038016021861
0.1150.7533197195359590.0122577893985301
0.120.7549453303696750.0124566565619037
0.1250.7565685317629340.0126007410198417
0.130.7581861127455520.0126938786083839
0.1350.7597944712987170.0127440867974884
0.140.7613901511324420.0127603271073115
0.1450.7629702252628720.0127518866517497
0.150.7645325421789880.012730091554938
0.1550.766075855234540.0127033824211204
0.160.7675998577000530.0126820474023146
0.1650.7691051453696850.0126728978301890
0.170.7705931265108840.0126835863914231
0.1750.7720658959918310.0127200720059746
0.180.773526087218430.0127867341866925
0.1850.7749767124944010.0128848132514507
0.190.776420999854910.0130168589419847
0.1950.7778622324370260.0131824919279555
0.20.7793035950410870.0133792638239547
0.2050.7807480316238760.0136034381117238
0.210.782198116917390.0138502575294115
0.2150.7836559450389020.0141130119758550
0.220.7851230377098310.0143843141006615
0.2250.7866002744185020.0146561929705374
0.230.7880878464657270.0149204497755614
0.2350.78958523628090.0151679099347271
0.240.791091222684660.0153906854905040
0.2450.7926039119273210.0155801772476093
0.250.7941207933983010.0157301860536652
0.2550.7956388179425440.0158344564820207
0.260.7971544958031590.0158878669513172
0.2650.7986640104003950.0158880790329646
0.270.8001633435124950.0158340406664293
0.2750.801648406987490.0157246203179212
0.280.8031151759141510.0155622721024531
0.2850.8045598182252920.0153502961637555
0.290.805978815990420.0150927825940047
0.2950.8073690741551150.0147967443636773
0.30.8087280131660870.0144685093678446
0.3050.8100536427388420.0141153426366991
0.310.8113446149284370.0137473184287137
0.3150.8126002556001780.0133719165690060
0.320.8138205743148930.0129991295856794
0.3250.8150062534962280.0126365920656438
0.330.8161586184960370.0122936356537062
0.3350.8172795907888230.0119770702098744
0.340.8183716269877770.0116946193511517
0.3450.8194376466749340.0114515525892263
0.350.8204809521777990.0112529429085974
0.3550.8215051434152880.0111014197365865
0.360.8225140307952410.010999659627745
0.3650.8235115488974890.0109477734358669
0.370.8245016733474870.0109464198725327
0.3750.8254883429035050.0109931007694523
0.380.8264753883722560.0110853666437776
0.3850.8274664695579080.0112205638661813
0.390.8284650210579380.0113934494815145
0.3950.8294742073620330.0116009018973178
0.40.8304968873977370.0118377710108104
0.4050.831535588404610.0120995035156501
0.410.8325924888083690.0123815303981410
0.4150.8336694096054620.0126789822256679
0.420.8347678136513140.0129872303156284
0.4250.8358888121648770.0133021864947266
0.430.837033177710170.0136196681678444
0.4350.8382013628839520.0139359989666353
0.440.8393935239203030.0142476384269921
0.4450.840609548411490.0145523172936869
0.450.8418490863355680.0148462726424358
0.4550.8431115835719030.0151286665705089
0.460.8443963170750460.0153968574410418
0.4650.8457024308658420.0156514568224672
0.470.8470289719879260.0158888458140516
0.4750.8483749255710910.0161107155798414
0.480.8497392481438540.0163170168398825
0.4850.8511208983502540.0165072626562962
0.490.8525188642545780.0166835964786100
0.4950.8539321864664780.0168461130125906
0.50.8553599763912380.0169958250296389
0.5050.8568014290085480.0171360070011546
0.510.8582558297095790.0172662956343239
0.5150.8597225548766470.0173893712601468
0.520.8612010660709530.0175061026742448
0.5250.8626908978985140.0176186506159529
0.530.8641916398474020.0177271432733880
0.5350.865702912623730.0178325809743100
0.540.8672243397505650.0179354792646741
0.5450.868755515422840.0180353593201978
0.550.8702959698207070.0181320155244646
0.5550.8718451332617970.0182230128596788
0.560.8734023007074450.0183077662975503
0.5650.8749665982184830.0183828934562379
0.570.8765369529736030.0184463808146833
0.5750.878112068411280.0184952850532389
0.580.879690405932220.0185246727014246
0.5850.8812701744043340.0185319229683955
0.590.8828493284521980.0185138103656993
0.5950.8844255761979120.0184666748473341
0.60.8859963967644620.0183855781746181
0.6050.8875590674740030.0182702374435566
0.610.8891107002920840.0181164266371800
0.6150.8906482867063920.0179232845951886
0.620.8921687499064180.0176897336530753
0.6250.8936690028681530.0174158042740473
0.630.895146010761840.0171020082981199
0.6350.8965968560025560.0167501453461214
0.640.8980188042588310.0163625277823769
0.6450.8994093698229420.0159423552840085
0.650.900766378920430.0154943700489033
0.6550.9020880297816230.0150223367314834
0.660.9033729485945620.0145319815828029
0.6650.9046202407817620.014029792621004
0.670.905829537364960.0135203292570985
0.6750.9070010364727610.0130112917810563
0.680.9081355402772590.0125093891760375
0.6850.9092344877909450.0120211829058130
0.690.9102999839925860.0115538848908445
0.6950.9113348256644970.0111151347888026
0.70.9123425241054110.0107123284371675
0.7050.913327324533090.0103529021597579
0.710.9142942215186130.0100453762165042
0.7150.9152489692194540.0097974605179079
0.720.9161980845306090.00961840694887808
0.7250.9171488405923210.00951648107667327
0.730.918109247429110.00950056056842361
0.7350.9190880159072290.00957855807009369
0.740.9200945007536010.00975759221647046
0.7450.9211386181523020.0100447763823385
0.750.9222307335011820.0104431663572113
0.7550.9233815153469380.01095514391496
0.760.924601752390260.0115801587363620
0.7650.9259021318184230.0123143847965651
0.770.9272929791132250.0131521161314924
0.7750.9287839618983830.0140846710486466
0.780.9303837632924940.0150986330666529
0.7850.9320997335324590.0161783375672453
0.790.9339375321832530.0173052540392484
0.7950.9359007768501080.0184564955443016
0.80.937990717698340.0196074476016893
0.8050.940205959954140.0207299446723496
0.810.9425422585588950.0217947446358812
0.8150.9449924099143520.0227713498747957
0.820.947546264825930.023629841040952
0.8250.950190884001580.0243411998027985
0.830.9529108525355070.0248804178650263
0.8350.9556887625423760.0252257777054356
0.840.9585058634881610.0253629722171458
0.8450.9613428679407430.0252836819176938
0.850.9641808867999360.0249884910510709
0.8550.967002453175070.0244879883611272
0.860.9697925788604120.023802452480233
0.8650.972539773045750.0229617545827468
0.870.9752369410863720.0220061083343501
0.8750.9778820738210070.0209839523582308
0.880.980478637416160.0199516220897085
0.8850.9830355826782420.0189704331793296
0.890.985566913994880.0181027036227214
0.8950.988090794154340.0174061270858631
0.90.99062821416410.0169250032337177
0.9050.9932013272450580.0166821398953368
0.910.9958316310670250.0166699999186468
0.9150.9985382751699410.0168486913540258
0.921.001336857751020.0171506672653043
0.9251.004239134486520.0174905503729930
0.931.007254056781710.0177773514719896
0.9351.010390440141130.0179306304679235
0.941.013661278662930.0178932968299711
0.9451.017089216098910.0176501245954888
0.951.020711935162180.0172482830632603
0.9551.024585288851690.0168193889721676
0.961.028781064621580.0166009255666754
0.9651.033375745358690.0169256553778928
0.971.038427149754310.0181401809021045
0.9751.043938201923120.0204502954920460


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.005 ;
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')