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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 14:50:30 -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/t1225054277z7jyqn9g5516nk1.htm/, Retrieved Sun, 19 May 2024 13:00:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19062, Retrieved Sun, 19 May 2024 13:00:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

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] [Harrell – Davis Q...] [2008-10-26 20:50:30] [81dc0ee785f23261ccd6abf7aef76c2a] [Current]
Feedback Forum
2008-11-04 07:04:58 [Bonifer Spillemaeckers] [reply] 
Ik heb deze vraag correct beantwoord en geinterpreteerd. Je kon hier ook een andere methode toepassen. Door in de R-code een kleine aanpassing te doen, namelijk x verminderen met het gemiddelde van de tijdreeks, bekomen we meteen de oplossing.


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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.989130435
0.919087137
0.925417076
0.925612053
1.066666667
0.851108765
1.030693069
0.989031079
0.913000978
0.792723264
0.978170478
0.987513007
0.909433962
0.883608147
0.82745098
0.8252149
1.023255814
0.815418024
1.03
0.914742451
0.807276303
0.739130435
0.98973306
0.972164948
0.853889943
0.856864654
0.775739042
0.789473684
0.931350114
0.73971079
0.885245902
0.842435094
0.818458418
0.72755418
0.923238696
0.922680412
0.883762201
0.818270165
0.771047228
0.825852783
0.924485126
0.755165289
0.874671341
0.815956482
0.799807507
0.712598425
0.832980973
0.910323253
0.869149952
0.779182879
0.750254842
0.75856014
0.920889988
0.743991641
0.816254417
0.769593957
0.784007353
0.683284457
0.850505051
0.900695134
0.868398268

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19062&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19062&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6903574823081830.0257493744938832
0.0150.695328516391510.0237478877648397
0.020.7006851289064970.021734532514729
0.0250.7060633492676350.0198465789395556
0.030.7112036616821370.0181409407214812
0.0350.7159516138801480.0166215258042675
0.040.720238984384720.0152701505942662
0.0450.7240586011050520.0140703182613428
0.050.7274408814134870.0130169628370724
0.0550.7304356673923330.0121149909956676
0.060.7330999213570140.0113755336274530
0.0650.7354903216164830.0108066015941988
0.070.7376593354487550.0104102672587416
0.0750.7396534689499880.0101793297879612
0.080.741512738453780.0100957980377989
0.0850.7432707621623240.0101353192153298
0.090.744955141615840.0102701844619835
0.0950.7465879741608710.0104732151930134
0.10.7481864285820480.0107193845356072
0.1050.7497633548654090.0109874944000426
0.110.7513279103163630.0112601657760742
0.1150.7528861846412480.011526196109277
0.120.7544418052122760.0117752995862039
0.1250.7559965042386430.0120023630740173
0.130.757550632499920.0122043778163178
0.1350.7591036088246720.0123794859228747
0.140.760654299486320.0125298799458765
0.1450.7622013262409710.0126567941304853
0.150.7637433053434060.0127639590477691
0.1550.7652790224013810.0128558221765743
0.160.7668075494625120.012937217037477
0.1650.7683283114925050.0130144421835237
0.170.7698411096453410.0130890257027324
0.1750.771346108658460.0131688330441186
0.180.772843795481730.0132543391742880
0.1850.7743349159566060.0133498482950950
0.190.7758203960370540.0134562040704081
0.1950.777301253686970.0135731710298020
0.20.7787785071820790.0137014134900641
0.2050.7802530850668460.0138365601431088
0.210.781725742453370.0139761760838112
0.2150.7831969876957030.0141174358517317
0.220.7846670227370890.014254906668871
0.2250.786135699627410.0143846557028513
0.230.7876024948688150.0145009100196785
0.2350.7890665023981270.0145991622719790
0.240.7905264451849560.0146742460172555
0.2450.7919807046427040.0147237824554493
0.250.793427366340790.0147425838993809
0.2550.7948642798915040.0147280297587216
0.260.7962891303806530.0146806157352704
0.2650.7976995183296780.0145984773988804
0.270.7990930449262890.0144813558459163
0.2750.8004673991442170.0143309797285947
0.280.8018204433897080.0141518828509622
0.2850.8031502944576240.0139450299536084
0.290.8044553968438990.0137166291746623
0.2950.8057345858297930.0134705795297250
0.30.8069871382093710.0132144865802642
0.3050.8082128090538750.0129541498747749
0.310.8094118534720780.0126954985073174
0.3150.8105850329096770.0124458847090164
0.320.8117336061086860.0122127590106538
0.3250.8128593053962440.0120017778516538
0.330.8139642994700860.0118197530780406
0.3350.8150511442774570.01167077263968
0.340.8161227239319740.0115605302029674
0.3450.81718218386970.0114911913408600
0.350.8182328586074670.0114653295564385
0.3550.8192781965333820.0114847599378424
0.360.8203216841359230.0115477666075857
0.3650.8213667719718760.0116540564540377
0.370.822416804494980.0118008984086779
0.3750.823474955628730.0119849795430896
0.380.8245441716815950.0122015373336842
0.3850.8256271228842550.0124467534622199
0.390.826726164489670.0127161972913673
0.3950.827843308029950.0130032727209724
0.40.828980202980720.0133047190084541
0.4050.8301381287537290.0136141559586320
0.410.8313179966309320.0139270942039374
0.4150.8325203609755270.014239355935933
0.420.8337454388138570.0145468382768111
0.4250.8349931366817240.0148447068575053
0.430.8362630834732790.0151326313986313
0.4350.8375546679228530.0154054385698285
0.440.8388670792909960.0156627183912659
0.4450.840199349815240.0159026498787941
0.450.8415503975219250.0161249314936152
0.4550.842919068074370.0163293765922274
0.460.8443041744497640.0165157734928721
0.4650.845704533386040.0166846565470461
0.470.8471189977132410.0168385143727890
0.4750.848546483872970.016977358744869
0.480.8499859941259850.0171040905359246
0.4850.8514366331430270.0172187792349239
0.490.8528976188598050.0173246160284153
0.4950.8543682876468240.0174228142653241
0.50.8558480939932980.0175143229302128
0.5050.8573366050283960.0176023510894760
0.510.8588334903013120.0176871470530748
0.5150.860338507314890.0177692702667512
0.520.861851483358480.0178499332357475
0.5250.8633722942182350.0179306594638612
0.530.864900840362480.0180101805121891
0.5350.8664370212111810.0180887588131363
0.540.8679807081071460.0181670326317408
0.5450.8695317166163640.0182426657825205
0.550.871089778798590.0183152217343903
0.5550.8726545161075930.018383189674388
0.560.8742254136022550.0184445154323164
0.5650.875801796171790.0184986869432896
0.570.87738280749570.0185417822082271
0.5750.8789673924659030.0185711418697827
0.580.8805542837879860.0185853019135757
0.5850.8821419934445170.0185807007579698
0.590.8837288096407720.0185546256675338
0.5950.8853127997586440.0185049726254956
0.60.8868918197174030.0184274237550889
0.6050.88846352998260.0183201309933662
0.610.8900254182823880.0181815126038245
0.6150.891574828892460.0180089438351744
0.620.893108998147960.0178003184355686
0.6250.8946250956461050.0175555885089826
0.630.8961202704309170.0172750557804465
0.6350.8975917013146280.0169579792264604
0.640.8990366504007640.0166064564640451
0.6450.9004525188401710.016221689059496
0.650.901836903877350.0158060406733841
0.6550.9031876563294950.0153625193885056
0.660.9045029377773660.0148957772281856
0.6650.9057812769225150.0144091565224269
0.670.9070216247603680.0139084949432564
0.6750.9082234084093250.0133979903424574
0.680.9093865835947120.0128841617006653
0.6850.9105116858837470.0123737931848146
0.690.9115998807747710.0118732217969068
0.6950.9126530126351010.0113881931568975
0.70.9136736522372410.0109276070046339
0.7050.9146651422520380.010499492187601
0.710.9156316395206220.0101118222886584
0.7150.9165781522597680.0097739816098994
0.720.9175105695889550.0094955906524746
0.7250.9184356799504180.00928730737487212
0.730.9193611741915350.00916083841819465
0.7350.9202956283734850.00912687379165225
0.740.9212484608552970.00919703433683982
0.7450.9222298579802620.00937991935349045
0.750.9232506628651560.00968438506916855
0.7550.9243222224575650.0101152973121683
0.760.9254561892612060.0106742913471305
0.7650.9266642759836460.0113594068413920
0.770.9279579638464030.0121649595096515
0.7750.9293481683759120.0130813501800693
0.780.9308448700699660.0140954651824544
0.7850.9324567212504980.0151890292663688
0.790.9341906444501670.0163422947029298
0.7950.9360514415595350.0175302721648510
0.80.9380414363590050.0187254071827769
0.8050.9401601756193010.0198978197698664
0.810.9424042153103680.0210155616900911
0.8150.9447670182601820.0220461309041956
0.820.947238987542460.0229586844175878
0.8250.949807655705310.0237221690090134
0.830.9524580435358450.0243114015224949
0.8350.955173193363160.0247054456438247
0.840.9579348710515630.0248897253461114
0.8450.960724418111740.0248570343812998
0.850.9635237212370640.0246116702887559
0.8550.966316251755850.0241651700228063
0.860.9690881129386230.0235402643712333
0.8650.9718290200718080.0227699530972607
0.870.9745331283009850.0218963659471783
0.8750.9771996184063420.0209700325339893
0.880.9798329531806260.0200491053495127
0.8850.9824427294550880.0191940004518971
0.890.9850430756189550.0184640174529389
0.8950.9876515839397710.0179122446726602
0.90.990287822466850.0175743656623826
0.9050.9929715424182210.0174611956897012
0.910.9957207804569670.0175528312745850
0.9150.9985501434670280.0177994735384453
0.921.001469642304520.0181247822523246
0.9251.004484488040150.0184400402451421
0.931.007596246752550.018653597096557
0.9351.01080562404650.0186861450409763
0.941.014116868873540.0184852002272859
0.9451.017543303950980.0180405878563165
0.951.021112792513800.0174033572650391
0.9551.024871093519440.016704793938423
0.961.028880220607170.0161766494358414
0.9651.033208468643630.0161436359221554
0.971.037909279774670.0169500270524251
0.9751.042988303806810.0188071207176474
0.981.048362473905470.0216747104665413
0.9851.053821670036710.0252668138202519
0.991.059011242163490.02912490445138

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.690357482308183 & 0.0257493744938832 \tabularnewline
0.015 & 0.69532851639151 & 0.0237478877648397 \tabularnewline
0.02 & 0.700685128906497 & 0.021734532514729 \tabularnewline
0.025 & 0.706063349267635 & 0.0198465789395556 \tabularnewline
0.03 & 0.711203661682137 & 0.0181409407214812 \tabularnewline
0.035 & 0.715951613880148 & 0.0166215258042675 \tabularnewline
0.04 & 0.72023898438472 & 0.0152701505942662 \tabularnewline
0.045 & 0.724058601105052 & 0.0140703182613428 \tabularnewline
0.05 & 0.727440881413487 & 0.0130169628370724 \tabularnewline
0.055 & 0.730435667392333 & 0.0121149909956676 \tabularnewline
0.06 & 0.733099921357014 & 0.0113755336274530 \tabularnewline
0.065 & 0.735490321616483 & 0.0108066015941988 \tabularnewline
0.07 & 0.737659335448755 & 0.0104102672587416 \tabularnewline
0.075 & 0.739653468949988 & 0.0101793297879612 \tabularnewline
0.08 & 0.74151273845378 & 0.0100957980377989 \tabularnewline
0.085 & 0.743270762162324 & 0.0101353192153298 \tabularnewline
0.09 & 0.74495514161584 & 0.0102701844619835 \tabularnewline
0.095 & 0.746587974160871 & 0.0104732151930134 \tabularnewline
0.1 & 0.748186428582048 & 0.0107193845356072 \tabularnewline
0.105 & 0.749763354865409 & 0.0109874944000426 \tabularnewline
0.11 & 0.751327910316363 & 0.0112601657760742 \tabularnewline
0.115 & 0.752886184641248 & 0.011526196109277 \tabularnewline
0.12 & 0.754441805212276 & 0.0117752995862039 \tabularnewline
0.125 & 0.755996504238643 & 0.0120023630740173 \tabularnewline
0.13 & 0.75755063249992 & 0.0122043778163178 \tabularnewline
0.135 & 0.759103608824672 & 0.0123794859228747 \tabularnewline
0.14 & 0.76065429948632 & 0.0125298799458765 \tabularnewline
0.145 & 0.762201326240971 & 0.0126567941304853 \tabularnewline
0.15 & 0.763743305343406 & 0.0127639590477691 \tabularnewline
0.155 & 0.765279022401381 & 0.0128558221765743 \tabularnewline
0.16 & 0.766807549462512 & 0.012937217037477 \tabularnewline
0.165 & 0.768328311492505 & 0.0130144421835237 \tabularnewline
0.17 & 0.769841109645341 & 0.0130890257027324 \tabularnewline
0.175 & 0.77134610865846 & 0.0131688330441186 \tabularnewline
0.18 & 0.77284379548173 & 0.0132543391742880 \tabularnewline
0.185 & 0.774334915956606 & 0.0133498482950950 \tabularnewline
0.19 & 0.775820396037054 & 0.0134562040704081 \tabularnewline
0.195 & 0.77730125368697 & 0.0135731710298020 \tabularnewline
0.2 & 0.778778507182079 & 0.0137014134900641 \tabularnewline
0.205 & 0.780253085066846 & 0.0138365601431088 \tabularnewline
0.21 & 0.78172574245337 & 0.0139761760838112 \tabularnewline
0.215 & 0.783196987695703 & 0.0141174358517317 \tabularnewline
0.22 & 0.784667022737089 & 0.014254906668871 \tabularnewline
0.225 & 0.78613569962741 & 0.0143846557028513 \tabularnewline
0.23 & 0.787602494868815 & 0.0145009100196785 \tabularnewline
0.235 & 0.789066502398127 & 0.0145991622719790 \tabularnewline
0.24 & 0.790526445184956 & 0.0146742460172555 \tabularnewline
0.245 & 0.791980704642704 & 0.0147237824554493 \tabularnewline
0.25 & 0.79342736634079 & 0.0147425838993809 \tabularnewline
0.255 & 0.794864279891504 & 0.0147280297587216 \tabularnewline
0.26 & 0.796289130380653 & 0.0146806157352704 \tabularnewline
0.265 & 0.797699518329678 & 0.0145984773988804 \tabularnewline
0.27 & 0.799093044926289 & 0.0144813558459163 \tabularnewline
0.275 & 0.800467399144217 & 0.0143309797285947 \tabularnewline
0.28 & 0.801820443389708 & 0.0141518828509622 \tabularnewline
0.285 & 0.803150294457624 & 0.0139450299536084 \tabularnewline
0.29 & 0.804455396843899 & 0.0137166291746623 \tabularnewline
0.295 & 0.805734585829793 & 0.0134705795297250 \tabularnewline
0.3 & 0.806987138209371 & 0.0132144865802642 \tabularnewline
0.305 & 0.808212809053875 & 0.0129541498747749 \tabularnewline
0.31 & 0.809411853472078 & 0.0126954985073174 \tabularnewline
0.315 & 0.810585032909677 & 0.0124458847090164 \tabularnewline
0.32 & 0.811733606108686 & 0.0122127590106538 \tabularnewline
0.325 & 0.812859305396244 & 0.0120017778516538 \tabularnewline
0.33 & 0.813964299470086 & 0.0118197530780406 \tabularnewline
0.335 & 0.815051144277457 & 0.01167077263968 \tabularnewline
0.34 & 0.816122723931974 & 0.0115605302029674 \tabularnewline
0.345 & 0.8171821838697 & 0.0114911913408600 \tabularnewline
0.35 & 0.818232858607467 & 0.0114653295564385 \tabularnewline
0.355 & 0.819278196533382 & 0.0114847599378424 \tabularnewline
0.36 & 0.820321684135923 & 0.0115477666075857 \tabularnewline
0.365 & 0.821366771971876 & 0.0116540564540377 \tabularnewline
0.37 & 0.82241680449498 & 0.0118008984086779 \tabularnewline
0.375 & 0.82347495562873 & 0.0119849795430896 \tabularnewline
0.38 & 0.824544171681595 & 0.0122015373336842 \tabularnewline
0.385 & 0.825627122884255 & 0.0124467534622199 \tabularnewline
0.39 & 0.82672616448967 & 0.0127161972913673 \tabularnewline
0.395 & 0.82784330802995 & 0.0130032727209724 \tabularnewline
0.4 & 0.82898020298072 & 0.0133047190084541 \tabularnewline
0.405 & 0.830138128753729 & 0.0136141559586320 \tabularnewline
0.41 & 0.831317996630932 & 0.0139270942039374 \tabularnewline
0.415 & 0.832520360975527 & 0.014239355935933 \tabularnewline
0.42 & 0.833745438813857 & 0.0145468382768111 \tabularnewline
0.425 & 0.834993136681724 & 0.0148447068575053 \tabularnewline
0.43 & 0.836263083473279 & 0.0151326313986313 \tabularnewline
0.435 & 0.837554667922853 & 0.0154054385698285 \tabularnewline
0.44 & 0.838867079290996 & 0.0156627183912659 \tabularnewline
0.445 & 0.84019934981524 & 0.0159026498787941 \tabularnewline
0.45 & 0.841550397521925 & 0.0161249314936152 \tabularnewline
0.455 & 0.84291906807437 & 0.0163293765922274 \tabularnewline
0.46 & 0.844304174449764 & 0.0165157734928721 \tabularnewline
0.465 & 0.84570453338604 & 0.0166846565470461 \tabularnewline
0.47 & 0.847118997713241 & 0.0168385143727890 \tabularnewline
0.475 & 0.84854648387297 & 0.016977358744869 \tabularnewline
0.48 & 0.849985994125985 & 0.0171040905359246 \tabularnewline
0.485 & 0.851436633143027 & 0.0172187792349239 \tabularnewline
0.49 & 0.852897618859805 & 0.0173246160284153 \tabularnewline
0.495 & 0.854368287646824 & 0.0174228142653241 \tabularnewline
0.5 & 0.855848093993298 & 0.0175143229302128 \tabularnewline
0.505 & 0.857336605028396 & 0.0176023510894760 \tabularnewline
0.51 & 0.858833490301312 & 0.0176871470530748 \tabularnewline
0.515 & 0.86033850731489 & 0.0177692702667512 \tabularnewline
0.52 & 0.86185148335848 & 0.0178499332357475 \tabularnewline
0.525 & 0.863372294218235 & 0.0179306594638612 \tabularnewline
0.53 & 0.86490084036248 & 0.0180101805121891 \tabularnewline
0.535 & 0.866437021211181 & 0.0180887588131363 \tabularnewline
0.54 & 0.867980708107146 & 0.0181670326317408 \tabularnewline
0.545 & 0.869531716616364 & 0.0182426657825205 \tabularnewline
0.55 & 0.87108977879859 & 0.0183152217343903 \tabularnewline
0.555 & 0.872654516107593 & 0.018383189674388 \tabularnewline
0.56 & 0.874225413602255 & 0.0184445154323164 \tabularnewline
0.565 & 0.87580179617179 & 0.0184986869432896 \tabularnewline
0.57 & 0.8773828074957 & 0.0185417822082271 \tabularnewline
0.575 & 0.878967392465903 & 0.0185711418697827 \tabularnewline
0.58 & 0.880554283787986 & 0.0185853019135757 \tabularnewline
0.585 & 0.882141993444517 & 0.0185807007579698 \tabularnewline
0.59 & 0.883728809640772 & 0.0185546256675338 \tabularnewline
0.595 & 0.885312799758644 & 0.0185049726254956 \tabularnewline
0.6 & 0.886891819717403 & 0.0184274237550889 \tabularnewline
0.605 & 0.8884635299826 & 0.0183201309933662 \tabularnewline
0.61 & 0.890025418282388 & 0.0181815126038245 \tabularnewline
0.615 & 0.89157482889246 & 0.0180089438351744 \tabularnewline
0.62 & 0.89310899814796 & 0.0178003184355686 \tabularnewline
0.625 & 0.894625095646105 & 0.0175555885089826 \tabularnewline
0.63 & 0.896120270430917 & 0.0172750557804465 \tabularnewline
0.635 & 0.897591701314628 & 0.0169579792264604 \tabularnewline
0.64 & 0.899036650400764 & 0.0166064564640451 \tabularnewline
0.645 & 0.900452518840171 & 0.016221689059496 \tabularnewline
0.65 & 0.90183690387735 & 0.0158060406733841 \tabularnewline
0.655 & 0.903187656329495 & 0.0153625193885056 \tabularnewline
0.66 & 0.904502937777366 & 0.0148957772281856 \tabularnewline
0.665 & 0.905781276922515 & 0.0144091565224269 \tabularnewline
0.67 & 0.907021624760368 & 0.0139084949432564 \tabularnewline
0.675 & 0.908223408409325 & 0.0133979903424574 \tabularnewline
0.68 & 0.909386583594712 & 0.0128841617006653 \tabularnewline
0.685 & 0.910511685883747 & 0.0123737931848146 \tabularnewline
0.69 & 0.911599880774771 & 0.0118732217969068 \tabularnewline
0.695 & 0.912653012635101 & 0.0113881931568975 \tabularnewline
0.7 & 0.913673652237241 & 0.0109276070046339 \tabularnewline
0.705 & 0.914665142252038 & 0.010499492187601 \tabularnewline
0.71 & 0.915631639520622 & 0.0101118222886584 \tabularnewline
0.715 & 0.916578152259768 & 0.0097739816098994 \tabularnewline
0.72 & 0.917510569588955 & 0.0094955906524746 \tabularnewline
0.725 & 0.918435679950418 & 0.00928730737487212 \tabularnewline
0.73 & 0.919361174191535 & 0.00916083841819465 \tabularnewline
0.735 & 0.920295628373485 & 0.00912687379165225 \tabularnewline
0.74 & 0.921248460855297 & 0.00919703433683982 \tabularnewline
0.745 & 0.922229857980262 & 0.00937991935349045 \tabularnewline
0.75 & 0.923250662865156 & 0.00968438506916855 \tabularnewline
0.755 & 0.924322222457565 & 0.0101152973121683 \tabularnewline
0.76 & 0.925456189261206 & 0.0106742913471305 \tabularnewline
0.765 & 0.926664275983646 & 0.0113594068413920 \tabularnewline
0.77 & 0.927957963846403 & 0.0121649595096515 \tabularnewline
0.775 & 0.929348168375912 & 0.0130813501800693 \tabularnewline
0.78 & 0.930844870069966 & 0.0140954651824544 \tabularnewline
0.785 & 0.932456721250498 & 0.0151890292663688 \tabularnewline
0.79 & 0.934190644450167 & 0.0163422947029298 \tabularnewline
0.795 & 0.936051441559535 & 0.0175302721648510 \tabularnewline
0.8 & 0.938041436359005 & 0.0187254071827769 \tabularnewline
0.805 & 0.940160175619301 & 0.0198978197698664 \tabularnewline
0.81 & 0.942404215310368 & 0.0210155616900911 \tabularnewline
0.815 & 0.944767018260182 & 0.0220461309041956 \tabularnewline
0.82 & 0.94723898754246 & 0.0229586844175878 \tabularnewline
0.825 & 0.94980765570531 & 0.0237221690090134 \tabularnewline
0.83 & 0.952458043535845 & 0.0243114015224949 \tabularnewline
0.835 & 0.95517319336316 & 0.0247054456438247 \tabularnewline
0.84 & 0.957934871051563 & 0.0248897253461114 \tabularnewline
0.845 & 0.96072441811174 & 0.0248570343812998 \tabularnewline
0.85 & 0.963523721237064 & 0.0246116702887559 \tabularnewline
0.855 & 0.96631625175585 & 0.0241651700228063 \tabularnewline
0.86 & 0.969088112938623 & 0.0235402643712333 \tabularnewline
0.865 & 0.971829020071808 & 0.0227699530972607 \tabularnewline
0.87 & 0.974533128300985 & 0.0218963659471783 \tabularnewline
0.875 & 0.977199618406342 & 0.0209700325339893 \tabularnewline
0.88 & 0.979832953180626 & 0.0200491053495127 \tabularnewline
0.885 & 0.982442729455088 & 0.0191940004518971 \tabularnewline
0.89 & 0.985043075618955 & 0.0184640174529389 \tabularnewline
0.895 & 0.987651583939771 & 0.0179122446726602 \tabularnewline
0.9 & 0.99028782246685 & 0.0175743656623826 \tabularnewline
0.905 & 0.992971542418221 & 0.0174611956897012 \tabularnewline
0.91 & 0.995720780456967 & 0.0175528312745850 \tabularnewline
0.915 & 0.998550143467028 & 0.0177994735384453 \tabularnewline
0.92 & 1.00146964230452 & 0.0181247822523246 \tabularnewline
0.925 & 1.00448448804015 & 0.0184400402451421 \tabularnewline
0.93 & 1.00759624675255 & 0.018653597096557 \tabularnewline
0.935 & 1.0108056240465 & 0.0186861450409763 \tabularnewline
0.94 & 1.01411686887354 & 0.0184852002272859 \tabularnewline
0.945 & 1.01754330395098 & 0.0180405878563165 \tabularnewline
0.95 & 1.02111279251380 & 0.0174033572650391 \tabularnewline
0.955 & 1.02487109351944 & 0.016704793938423 \tabularnewline
0.96 & 1.02888022060717 & 0.0161766494358414 \tabularnewline
0.965 & 1.03320846864363 & 0.0161436359221554 \tabularnewline
0.97 & 1.03790927977467 & 0.0169500270524251 \tabularnewline
0.975 & 1.04298830380681 & 0.0188071207176474 \tabularnewline
0.98 & 1.04836247390547 & 0.0216747104665413 \tabularnewline
0.985 & 1.05382167003671 & 0.0252668138202519 \tabularnewline
0.99 & 1.05901124216349 & 0.02912490445138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19062&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]0.690357482308183[/C][C]0.0257493744938832[/C][/ROW]
[ROW][C]0.015[/C][C]0.69532851639151[/C][C]0.0237478877648397[/C][/ROW]
[ROW][C]0.02[/C][C]0.700685128906497[/C][C]0.021734532514729[/C][/ROW]
[ROW][C]0.025[/C][C]0.706063349267635[/C][C]0.0198465789395556[/C][/ROW]
[ROW][C]0.03[/C][C]0.711203661682137[/C][C]0.0181409407214812[/C][/ROW]
[ROW][C]0.035[/C][C]0.715951613880148[/C][C]0.0166215258042675[/C][/ROW]
[ROW][C]0.04[/C][C]0.72023898438472[/C][C]0.0152701505942662[/C][/ROW]
[ROW][C]0.045[/C][C]0.724058601105052[/C][C]0.0140703182613428[/C][/ROW]
[ROW][C]0.05[/C][C]0.727440881413487[/C][C]0.0130169628370724[/C][/ROW]
[ROW][C]0.055[/C][C]0.730435667392333[/C][C]0.0121149909956676[/C][/ROW]
[ROW][C]0.06[/C][C]0.733099921357014[/C][C]0.0113755336274530[/C][/ROW]
[ROW][C]0.065[/C][C]0.735490321616483[/C][C]0.0108066015941988[/C][/ROW]
[ROW][C]0.07[/C][C]0.737659335448755[/C][C]0.0104102672587416[/C][/ROW]
[ROW][C]0.075[/C][C]0.739653468949988[/C][C]0.0101793297879612[/C][/ROW]
[ROW][C]0.08[/C][C]0.74151273845378[/C][C]0.0100957980377989[/C][/ROW]
[ROW][C]0.085[/C][C]0.743270762162324[/C][C]0.0101353192153298[/C][/ROW]
[ROW][C]0.09[/C][C]0.74495514161584[/C][C]0.0102701844619835[/C][/ROW]
[ROW][C]0.095[/C][C]0.746587974160871[/C][C]0.0104732151930134[/C][/ROW]
[ROW][C]0.1[/C][C]0.748186428582048[/C][C]0.0107193845356072[/C][/ROW]
[ROW][C]0.105[/C][C]0.749763354865409[/C][C]0.0109874944000426[/C][/ROW]
[ROW][C]0.11[/C][C]0.751327910316363[/C][C]0.0112601657760742[/C][/ROW]
[ROW][C]0.115[/C][C]0.752886184641248[/C][C]0.011526196109277[/C][/ROW]
[ROW][C]0.12[/C][C]0.754441805212276[/C][C]0.0117752995862039[/C][/ROW]
[ROW][C]0.125[/C][C]0.755996504238643[/C][C]0.0120023630740173[/C][/ROW]
[ROW][C]0.13[/C][C]0.75755063249992[/C][C]0.0122043778163178[/C][/ROW]
[ROW][C]0.135[/C][C]0.759103608824672[/C][C]0.0123794859228747[/C][/ROW]
[ROW][C]0.14[/C][C]0.76065429948632[/C][C]0.0125298799458765[/C][/ROW]
[ROW][C]0.145[/C][C]0.762201326240971[/C][C]0.0126567941304853[/C][/ROW]
[ROW][C]0.15[/C][C]0.763743305343406[/C][C]0.0127639590477691[/C][/ROW]
[ROW][C]0.155[/C][C]0.765279022401381[/C][C]0.0128558221765743[/C][/ROW]
[ROW][C]0.16[/C][C]0.766807549462512[/C][C]0.012937217037477[/C][/ROW]
[ROW][C]0.165[/C][C]0.768328311492505[/C][C]0.0130144421835237[/C][/ROW]
[ROW][C]0.17[/C][C]0.769841109645341[/C][C]0.0130890257027324[/C][/ROW]
[ROW][C]0.175[/C][C]0.77134610865846[/C][C]0.0131688330441186[/C][/ROW]
[ROW][C]0.18[/C][C]0.77284379548173[/C][C]0.0132543391742880[/C][/ROW]
[ROW][C]0.185[/C][C]0.774334915956606[/C][C]0.0133498482950950[/C][/ROW]
[ROW][C]0.19[/C][C]0.775820396037054[/C][C]0.0134562040704081[/C][/ROW]
[ROW][C]0.195[/C][C]0.77730125368697[/C][C]0.0135731710298020[/C][/ROW]
[ROW][C]0.2[/C][C]0.778778507182079[/C][C]0.0137014134900641[/C][/ROW]
[ROW][C]0.205[/C][C]0.780253085066846[/C][C]0.0138365601431088[/C][/ROW]
[ROW][C]0.21[/C][C]0.78172574245337[/C][C]0.0139761760838112[/C][/ROW]
[ROW][C]0.215[/C][C]0.783196987695703[/C][C]0.0141174358517317[/C][/ROW]
[ROW][C]0.22[/C][C]0.784667022737089[/C][C]0.014254906668871[/C][/ROW]
[ROW][C]0.225[/C][C]0.78613569962741[/C][C]0.0143846557028513[/C][/ROW]
[ROW][C]0.23[/C][C]0.787602494868815[/C][C]0.0145009100196785[/C][/ROW]
[ROW][C]0.235[/C][C]0.789066502398127[/C][C]0.0145991622719790[/C][/ROW]
[ROW][C]0.24[/C][C]0.790526445184956[/C][C]0.0146742460172555[/C][/ROW]
[ROW][C]0.245[/C][C]0.791980704642704[/C][C]0.0147237824554493[/C][/ROW]
[ROW][C]0.25[/C][C]0.79342736634079[/C][C]0.0147425838993809[/C][/ROW]
[ROW][C]0.255[/C][C]0.794864279891504[/C][C]0.0147280297587216[/C][/ROW]
[ROW][C]0.26[/C][C]0.796289130380653[/C][C]0.0146806157352704[/C][/ROW]
[ROW][C]0.265[/C][C]0.797699518329678[/C][C]0.0145984773988804[/C][/ROW]
[ROW][C]0.27[/C][C]0.799093044926289[/C][C]0.0144813558459163[/C][/ROW]
[ROW][C]0.275[/C][C]0.800467399144217[/C][C]0.0143309797285947[/C][/ROW]
[ROW][C]0.28[/C][C]0.801820443389708[/C][C]0.0141518828509622[/C][/ROW]
[ROW][C]0.285[/C][C]0.803150294457624[/C][C]0.0139450299536084[/C][/ROW]
[ROW][C]0.29[/C][C]0.804455396843899[/C][C]0.0137166291746623[/C][/ROW]
[ROW][C]0.295[/C][C]0.805734585829793[/C][C]0.0134705795297250[/C][/ROW]
[ROW][C]0.3[/C][C]0.806987138209371[/C][C]0.0132144865802642[/C][/ROW]
[ROW][C]0.305[/C][C]0.808212809053875[/C][C]0.0129541498747749[/C][/ROW]
[ROW][C]0.31[/C][C]0.809411853472078[/C][C]0.0126954985073174[/C][/ROW]
[ROW][C]0.315[/C][C]0.810585032909677[/C][C]0.0124458847090164[/C][/ROW]
[ROW][C]0.32[/C][C]0.811733606108686[/C][C]0.0122127590106538[/C][/ROW]
[ROW][C]0.325[/C][C]0.812859305396244[/C][C]0.0120017778516538[/C][/ROW]
[ROW][C]0.33[/C][C]0.813964299470086[/C][C]0.0118197530780406[/C][/ROW]
[ROW][C]0.335[/C][C]0.815051144277457[/C][C]0.01167077263968[/C][/ROW]
[ROW][C]0.34[/C][C]0.816122723931974[/C][C]0.0115605302029674[/C][/ROW]
[ROW][C]0.345[/C][C]0.8171821838697[/C][C]0.0114911913408600[/C][/ROW]
[ROW][C]0.35[/C][C]0.818232858607467[/C][C]0.0114653295564385[/C][/ROW]
[ROW][C]0.355[/C][C]0.819278196533382[/C][C]0.0114847599378424[/C][/ROW]
[ROW][C]0.36[/C][C]0.820321684135923[/C][C]0.0115477666075857[/C][/ROW]
[ROW][C]0.365[/C][C]0.821366771971876[/C][C]0.0116540564540377[/C][/ROW]
[ROW][C]0.37[/C][C]0.82241680449498[/C][C]0.0118008984086779[/C][/ROW]
[ROW][C]0.375[/C][C]0.82347495562873[/C][C]0.0119849795430896[/C][/ROW]
[ROW][C]0.38[/C][C]0.824544171681595[/C][C]0.0122015373336842[/C][/ROW]
[ROW][C]0.385[/C][C]0.825627122884255[/C][C]0.0124467534622199[/C][/ROW]
[ROW][C]0.39[/C][C]0.82672616448967[/C][C]0.0127161972913673[/C][/ROW]
[ROW][C]0.395[/C][C]0.82784330802995[/C][C]0.0130032727209724[/C][/ROW]
[ROW][C]0.4[/C][C]0.82898020298072[/C][C]0.0133047190084541[/C][/ROW]
[ROW][C]0.405[/C][C]0.830138128753729[/C][C]0.0136141559586320[/C][/ROW]
[ROW][C]0.41[/C][C]0.831317996630932[/C][C]0.0139270942039374[/C][/ROW]
[ROW][C]0.415[/C][C]0.832520360975527[/C][C]0.014239355935933[/C][/ROW]
[ROW][C]0.42[/C][C]0.833745438813857[/C][C]0.0145468382768111[/C][/ROW]
[ROW][C]0.425[/C][C]0.834993136681724[/C][C]0.0148447068575053[/C][/ROW]
[ROW][C]0.43[/C][C]0.836263083473279[/C][C]0.0151326313986313[/C][/ROW]
[ROW][C]0.435[/C][C]0.837554667922853[/C][C]0.0154054385698285[/C][/ROW]
[ROW][C]0.44[/C][C]0.838867079290996[/C][C]0.0156627183912659[/C][/ROW]
[ROW][C]0.445[/C][C]0.84019934981524[/C][C]0.0159026498787941[/C][/ROW]
[ROW][C]0.45[/C][C]0.841550397521925[/C][C]0.0161249314936152[/C][/ROW]
[ROW][C]0.455[/C][C]0.84291906807437[/C][C]0.0163293765922274[/C][/ROW]
[ROW][C]0.46[/C][C]0.844304174449764[/C][C]0.0165157734928721[/C][/ROW]
[ROW][C]0.465[/C][C]0.84570453338604[/C][C]0.0166846565470461[/C][/ROW]
[ROW][C]0.47[/C][C]0.847118997713241[/C][C]0.0168385143727890[/C][/ROW]
[ROW][C]0.475[/C][C]0.84854648387297[/C][C]0.016977358744869[/C][/ROW]
[ROW][C]0.48[/C][C]0.849985994125985[/C][C]0.0171040905359246[/C][/ROW]
[ROW][C]0.485[/C][C]0.851436633143027[/C][C]0.0172187792349239[/C][/ROW]
[ROW][C]0.49[/C][C]0.852897618859805[/C][C]0.0173246160284153[/C][/ROW]
[ROW][C]0.495[/C][C]0.854368287646824[/C][C]0.0174228142653241[/C][/ROW]
[ROW][C]0.5[/C][C]0.855848093993298[/C][C]0.0175143229302128[/C][/ROW]
[ROW][C]0.505[/C][C]0.857336605028396[/C][C]0.0176023510894760[/C][/ROW]
[ROW][C]0.51[/C][C]0.858833490301312[/C][C]0.0176871470530748[/C][/ROW]
[ROW][C]0.515[/C][C]0.86033850731489[/C][C]0.0177692702667512[/C][/ROW]
[ROW][C]0.52[/C][C]0.86185148335848[/C][C]0.0178499332357475[/C][/ROW]
[ROW][C]0.525[/C][C]0.863372294218235[/C][C]0.0179306594638612[/C][/ROW]
[ROW][C]0.53[/C][C]0.86490084036248[/C][C]0.0180101805121891[/C][/ROW]
[ROW][C]0.535[/C][C]0.866437021211181[/C][C]0.0180887588131363[/C][/ROW]
[ROW][C]0.54[/C][C]0.867980708107146[/C][C]0.0181670326317408[/C][/ROW]
[ROW][C]0.545[/C][C]0.869531716616364[/C][C]0.0182426657825205[/C][/ROW]
[ROW][C]0.55[/C][C]0.87108977879859[/C][C]0.0183152217343903[/C][/ROW]
[ROW][C]0.555[/C][C]0.872654516107593[/C][C]0.018383189674388[/C][/ROW]
[ROW][C]0.56[/C][C]0.874225413602255[/C][C]0.0184445154323164[/C][/ROW]
[ROW][C]0.565[/C][C]0.87580179617179[/C][C]0.0184986869432896[/C][/ROW]
[ROW][C]0.57[/C][C]0.8773828074957[/C][C]0.0185417822082271[/C][/ROW]
[ROW][C]0.575[/C][C]0.878967392465903[/C][C]0.0185711418697827[/C][/ROW]
[ROW][C]0.58[/C][C]0.880554283787986[/C][C]0.0185853019135757[/C][/ROW]
[ROW][C]0.585[/C][C]0.882141993444517[/C][C]0.0185807007579698[/C][/ROW]
[ROW][C]0.59[/C][C]0.883728809640772[/C][C]0.0185546256675338[/C][/ROW]
[ROW][C]0.595[/C][C]0.885312799758644[/C][C]0.0185049726254956[/C][/ROW]
[ROW][C]0.6[/C][C]0.886891819717403[/C][C]0.0184274237550889[/C][/ROW]
[ROW][C]0.605[/C][C]0.8884635299826[/C][C]0.0183201309933662[/C][/ROW]
[ROW][C]0.61[/C][C]0.890025418282388[/C][C]0.0181815126038245[/C][/ROW]
[ROW][C]0.615[/C][C]0.89157482889246[/C][C]0.0180089438351744[/C][/ROW]
[ROW][C]0.62[/C][C]0.89310899814796[/C][C]0.0178003184355686[/C][/ROW]
[ROW][C]0.625[/C][C]0.894625095646105[/C][C]0.0175555885089826[/C][/ROW]
[ROW][C]0.63[/C][C]0.896120270430917[/C][C]0.0172750557804465[/C][/ROW]
[ROW][C]0.635[/C][C]0.897591701314628[/C][C]0.0169579792264604[/C][/ROW]
[ROW][C]0.64[/C][C]0.899036650400764[/C][C]0.0166064564640451[/C][/ROW]
[ROW][C]0.645[/C][C]0.900452518840171[/C][C]0.016221689059496[/C][/ROW]
[ROW][C]0.65[/C][C]0.90183690387735[/C][C]0.0158060406733841[/C][/ROW]
[ROW][C]0.655[/C][C]0.903187656329495[/C][C]0.0153625193885056[/C][/ROW]
[ROW][C]0.66[/C][C]0.904502937777366[/C][C]0.0148957772281856[/C][/ROW]
[ROW][C]0.665[/C][C]0.905781276922515[/C][C]0.0144091565224269[/C][/ROW]
[ROW][C]0.67[/C][C]0.907021624760368[/C][C]0.0139084949432564[/C][/ROW]
[ROW][C]0.675[/C][C]0.908223408409325[/C][C]0.0133979903424574[/C][/ROW]
[ROW][C]0.68[/C][C]0.909386583594712[/C][C]0.0128841617006653[/C][/ROW]
[ROW][C]0.685[/C][C]0.910511685883747[/C][C]0.0123737931848146[/C][/ROW]
[ROW][C]0.69[/C][C]0.911599880774771[/C][C]0.0118732217969068[/C][/ROW]
[ROW][C]0.695[/C][C]0.912653012635101[/C][C]0.0113881931568975[/C][/ROW]
[ROW][C]0.7[/C][C]0.913673652237241[/C][C]0.0109276070046339[/C][/ROW]
[ROW][C]0.705[/C][C]0.914665142252038[/C][C]0.010499492187601[/C][/ROW]
[ROW][C]0.71[/C][C]0.915631639520622[/C][C]0.0101118222886584[/C][/ROW]
[ROW][C]0.715[/C][C]0.916578152259768[/C][C]0.0097739816098994[/C][/ROW]
[ROW][C]0.72[/C][C]0.917510569588955[/C][C]0.0094955906524746[/C][/ROW]
[ROW][C]0.725[/C][C]0.918435679950418[/C][C]0.00928730737487212[/C][/ROW]
[ROW][C]0.73[/C][C]0.919361174191535[/C][C]0.00916083841819465[/C][/ROW]
[ROW][C]0.735[/C][C]0.920295628373485[/C][C]0.00912687379165225[/C][/ROW]
[ROW][C]0.74[/C][C]0.921248460855297[/C][C]0.00919703433683982[/C][/ROW]
[ROW][C]0.745[/C][C]0.922229857980262[/C][C]0.00937991935349045[/C][/ROW]
[ROW][C]0.75[/C][C]0.923250662865156[/C][C]0.00968438506916855[/C][/ROW]
[ROW][C]0.755[/C][C]0.924322222457565[/C][C]0.0101152973121683[/C][/ROW]
[ROW][C]0.76[/C][C]0.925456189261206[/C][C]0.0106742913471305[/C][/ROW]
[ROW][C]0.765[/C][C]0.926664275983646[/C][C]0.0113594068413920[/C][/ROW]
[ROW][C]0.77[/C][C]0.927957963846403[/C][C]0.0121649595096515[/C][/ROW]
[ROW][C]0.775[/C][C]0.929348168375912[/C][C]0.0130813501800693[/C][/ROW]
[ROW][C]0.78[/C][C]0.930844870069966[/C][C]0.0140954651824544[/C][/ROW]
[ROW][C]0.785[/C][C]0.932456721250498[/C][C]0.0151890292663688[/C][/ROW]
[ROW][C]0.79[/C][C]0.934190644450167[/C][C]0.0163422947029298[/C][/ROW]
[ROW][C]0.795[/C][C]0.936051441559535[/C][C]0.0175302721648510[/C][/ROW]
[ROW][C]0.8[/C][C]0.938041436359005[/C][C]0.0187254071827769[/C][/ROW]
[ROW][C]0.805[/C][C]0.940160175619301[/C][C]0.0198978197698664[/C][/ROW]
[ROW][C]0.81[/C][C]0.942404215310368[/C][C]0.0210155616900911[/C][/ROW]
[ROW][C]0.815[/C][C]0.944767018260182[/C][C]0.0220461309041956[/C][/ROW]
[ROW][C]0.82[/C][C]0.94723898754246[/C][C]0.0229586844175878[/C][/ROW]
[ROW][C]0.825[/C][C]0.94980765570531[/C][C]0.0237221690090134[/C][/ROW]
[ROW][C]0.83[/C][C]0.952458043535845[/C][C]0.0243114015224949[/C][/ROW]
[ROW][C]0.835[/C][C]0.95517319336316[/C][C]0.0247054456438247[/C][/ROW]
[ROW][C]0.84[/C][C]0.957934871051563[/C][C]0.0248897253461114[/C][/ROW]
[ROW][C]0.845[/C][C]0.96072441811174[/C][C]0.0248570343812998[/C][/ROW]
[ROW][C]0.85[/C][C]0.963523721237064[/C][C]0.0246116702887559[/C][/ROW]
[ROW][C]0.855[/C][C]0.96631625175585[/C][C]0.0241651700228063[/C][/ROW]
[ROW][C]0.86[/C][C]0.969088112938623[/C][C]0.0235402643712333[/C][/ROW]
[ROW][C]0.865[/C][C]0.971829020071808[/C][C]0.0227699530972607[/C][/ROW]
[ROW][C]0.87[/C][C]0.974533128300985[/C][C]0.0218963659471783[/C][/ROW]
[ROW][C]0.875[/C][C]0.977199618406342[/C][C]0.0209700325339893[/C][/ROW]
[ROW][C]0.88[/C][C]0.979832953180626[/C][C]0.0200491053495127[/C][/ROW]
[ROW][C]0.885[/C][C]0.982442729455088[/C][C]0.0191940004518971[/C][/ROW]
[ROW][C]0.89[/C][C]0.985043075618955[/C][C]0.0184640174529389[/C][/ROW]
[ROW][C]0.895[/C][C]0.987651583939771[/C][C]0.0179122446726602[/C][/ROW]
[ROW][C]0.9[/C][C]0.99028782246685[/C][C]0.0175743656623826[/C][/ROW]
[ROW][C]0.905[/C][C]0.992971542418221[/C][C]0.0174611956897012[/C][/ROW]
[ROW][C]0.91[/C][C]0.995720780456967[/C][C]0.0175528312745850[/C][/ROW]
[ROW][C]0.915[/C][C]0.998550143467028[/C][C]0.0177994735384453[/C][/ROW]
[ROW][C]0.92[/C][C]1.00146964230452[/C][C]0.0181247822523246[/C][/ROW]
[ROW][C]0.925[/C][C]1.00448448804015[/C][C]0.0184400402451421[/C][/ROW]
[ROW][C]0.93[/C][C]1.00759624675255[/C][C]0.018653597096557[/C][/ROW]
[ROW][C]0.935[/C][C]1.0108056240465[/C][C]0.0186861450409763[/C][/ROW]
[ROW][C]0.94[/C][C]1.01411686887354[/C][C]0.0184852002272859[/C][/ROW]
[ROW][C]0.945[/C][C]1.01754330395098[/C][C]0.0180405878563165[/C][/ROW]
[ROW][C]0.95[/C][C]1.02111279251380[/C][C]0.0174033572650391[/C][/ROW]
[ROW][C]0.955[/C][C]1.02487109351944[/C][C]0.016704793938423[/C][/ROW]
[ROW][C]0.96[/C][C]1.02888022060717[/C][C]0.0161766494358414[/C][/ROW]
[ROW][C]0.965[/C][C]1.03320846864363[/C][C]0.0161436359221554[/C][/ROW]
[ROW][C]0.97[/C][C]1.03790927977467[/C][C]0.0169500270524251[/C][/ROW]
[ROW][C]0.975[/C][C]1.04298830380681[/C][C]0.0188071207176474[/C][/ROW]
[ROW][C]0.98[/C][C]1.04836247390547[/C][C]0.0216747104665413[/C][/ROW]
[ROW][C]0.985[/C][C]1.05382167003671[/C][C]0.0252668138202519[/C][/ROW]
[ROW][C]0.99[/C][C]1.05901124216349[/C][C]0.02912490445138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19062&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
0.010.6903574823081830.0257493744938832
0.0150.695328516391510.0237478877648397
0.020.7006851289064970.021734532514729
0.0250.7060633492676350.0198465789395556
0.030.7112036616821370.0181409407214812
0.0350.7159516138801480.0166215258042675
0.040.720238984384720.0152701505942662
0.0450.7240586011050520.0140703182613428
0.050.7274408814134870.0130169628370724
0.0550.7304356673923330.0121149909956676
0.060.7330999213570140.0113755336274530
0.0650.7354903216164830.0108066015941988
0.070.7376593354487550.0104102672587416
0.0750.7396534689499880.0101793297879612
0.080.741512738453780.0100957980377989
0.0850.7432707621623240.0101353192153298
0.090.744955141615840.0102701844619835
0.0950.7465879741608710.0104732151930134
0.10.7481864285820480.0107193845356072
0.1050.7497633548654090.0109874944000426
0.110.7513279103163630.0112601657760742
0.1150.7528861846412480.011526196109277
0.120.7544418052122760.0117752995862039
0.1250.7559965042386430.0120023630740173
0.130.757550632499920.0122043778163178
0.1350.7591036088246720.0123794859228747
0.140.760654299486320.0125298799458765
0.1450.7622013262409710.0126567941304853
0.150.7637433053434060.0127639590477691
0.1550.7652790224013810.0128558221765743
0.160.7668075494625120.012937217037477
0.1650.7683283114925050.0130144421835237
0.170.7698411096453410.0130890257027324
0.1750.771346108658460.0131688330441186
0.180.772843795481730.0132543391742880
0.1850.7743349159566060.0133498482950950
0.190.7758203960370540.0134562040704081
0.1950.777301253686970.0135731710298020
0.20.7787785071820790.0137014134900641
0.2050.7802530850668460.0138365601431088
0.210.781725742453370.0139761760838112
0.2150.7831969876957030.0141174358517317
0.220.7846670227370890.014254906668871
0.2250.786135699627410.0143846557028513
0.230.7876024948688150.0145009100196785
0.2350.7890665023981270.0145991622719790
0.240.7905264451849560.0146742460172555
0.2450.7919807046427040.0147237824554493
0.250.793427366340790.0147425838993809
0.2550.7948642798915040.0147280297587216
0.260.7962891303806530.0146806157352704
0.2650.7976995183296780.0145984773988804
0.270.7990930449262890.0144813558459163
0.2750.8004673991442170.0143309797285947
0.280.8018204433897080.0141518828509622
0.2850.8031502944576240.0139450299536084
0.290.8044553968438990.0137166291746623
0.2950.8057345858297930.0134705795297250
0.30.8069871382093710.0132144865802642
0.3050.8082128090538750.0129541498747749
0.310.8094118534720780.0126954985073174
0.3150.8105850329096770.0124458847090164
0.320.8117336061086860.0122127590106538
0.3250.8128593053962440.0120017778516538
0.330.8139642994700860.0118197530780406
0.3350.8150511442774570.01167077263968
0.340.8161227239319740.0115605302029674
0.3450.81718218386970.0114911913408600
0.350.8182328586074670.0114653295564385
0.3550.8192781965333820.0114847599378424
0.360.8203216841359230.0115477666075857
0.3650.8213667719718760.0116540564540377
0.370.822416804494980.0118008984086779
0.3750.823474955628730.0119849795430896
0.380.8245441716815950.0122015373336842
0.3850.8256271228842550.0124467534622199
0.390.826726164489670.0127161972913673
0.3950.827843308029950.0130032727209724
0.40.828980202980720.0133047190084541
0.4050.8301381287537290.0136141559586320
0.410.8313179966309320.0139270942039374
0.4150.8325203609755270.014239355935933
0.420.8337454388138570.0145468382768111
0.4250.8349931366817240.0148447068575053
0.430.8362630834732790.0151326313986313
0.4350.8375546679228530.0154054385698285
0.440.8388670792909960.0156627183912659
0.4450.840199349815240.0159026498787941
0.450.8415503975219250.0161249314936152
0.4550.842919068074370.0163293765922274
0.460.8443041744497640.0165157734928721
0.4650.845704533386040.0166846565470461
0.470.8471189977132410.0168385143727890
0.4750.848546483872970.016977358744869
0.480.8499859941259850.0171040905359246
0.4850.8514366331430270.0172187792349239
0.490.8528976188598050.0173246160284153
0.4950.8543682876468240.0174228142653241
0.50.8558480939932980.0175143229302128
0.5050.8573366050283960.0176023510894760
0.510.8588334903013120.0176871470530748
0.5150.860338507314890.0177692702667512
0.520.861851483358480.0178499332357475
0.5250.8633722942182350.0179306594638612
0.530.864900840362480.0180101805121891
0.5350.8664370212111810.0180887588131363
0.540.8679807081071460.0181670326317408
0.5450.8695317166163640.0182426657825205
0.550.871089778798590.0183152217343903
0.5550.8726545161075930.018383189674388
0.560.8742254136022550.0184445154323164
0.5650.875801796171790.0184986869432896
0.570.87738280749570.0185417822082271
0.5750.8789673924659030.0185711418697827
0.580.8805542837879860.0185853019135757
0.5850.8821419934445170.0185807007579698
0.590.8837288096407720.0185546256675338
0.5950.8853127997586440.0185049726254956
0.60.8868918197174030.0184274237550889
0.6050.88846352998260.0183201309933662
0.610.8900254182823880.0181815126038245
0.6150.891574828892460.0180089438351744
0.620.893108998147960.0178003184355686
0.6250.8946250956461050.0175555885089826
0.630.8961202704309170.0172750557804465
0.6350.8975917013146280.0169579792264604
0.640.8990366504007640.0166064564640451
0.6450.9004525188401710.016221689059496
0.650.901836903877350.0158060406733841
0.6550.9031876563294950.0153625193885056
0.660.9045029377773660.0148957772281856
0.6650.9057812769225150.0144091565224269
0.670.9070216247603680.0139084949432564
0.6750.9082234084093250.0133979903424574
0.680.9093865835947120.0128841617006653
0.6850.9105116858837470.0123737931848146
0.690.9115998807747710.0118732217969068
0.6950.9126530126351010.0113881931568975
0.70.9136736522372410.0109276070046339
0.7050.9146651422520380.010499492187601
0.710.9156316395206220.0101118222886584
0.7150.9165781522597680.0097739816098994
0.720.9175105695889550.0094955906524746
0.7250.9184356799504180.00928730737487212
0.730.9193611741915350.00916083841819465
0.7350.9202956283734850.00912687379165225
0.740.9212484608552970.00919703433683982
0.7450.9222298579802620.00937991935349045
0.750.9232506628651560.00968438506916855
0.7550.9243222224575650.0101152973121683
0.760.9254561892612060.0106742913471305
0.7650.9266642759836460.0113594068413920
0.770.9279579638464030.0121649595096515
0.7750.9293481683759120.0130813501800693
0.780.9308448700699660.0140954651824544
0.7850.9324567212504980.0151890292663688
0.790.9341906444501670.0163422947029298
0.7950.9360514415595350.0175302721648510
0.80.9380414363590050.0187254071827769
0.8050.9401601756193010.0198978197698664
0.810.9424042153103680.0210155616900911
0.8150.9447670182601820.0220461309041956
0.820.947238987542460.0229586844175878
0.8250.949807655705310.0237221690090134
0.830.9524580435358450.0243114015224949
0.8350.955173193363160.0247054456438247
0.840.9579348710515630.0248897253461114
0.8450.960724418111740.0248570343812998
0.850.9635237212370640.0246116702887559
0.8550.966316251755850.0241651700228063
0.860.9690881129386230.0235402643712333
0.8650.9718290200718080.0227699530972607
0.870.9745331283009850.0218963659471783
0.8750.9771996184063420.0209700325339893
0.880.9798329531806260.0200491053495127
0.8850.9824427294550880.0191940004518971
0.890.9850430756189550.0184640174529389
0.8950.9876515839397710.0179122446726602
0.90.990287822466850.0175743656623826
0.9050.9929715424182210.0174611956897012
0.910.9957207804569670.0175528312745850
0.9150.9985501434670280.0177994735384453
0.921.001469642304520.0181247822523246
0.9251.004484488040150.0184400402451421
0.931.007596246752550.018653597096557
0.9351.01080562404650.0186861450409763
0.941.014116868873540.0184852002272859
0.9451.017543303950980.0180405878563165
0.951.021112792513800.0174033572650391
0.9551.024871093519440.016704793938423
0.961.028880220607170.0161766494358414
0.9651.033208468643630.0161436359221554
0.971.037909279774670.0169500270524251
0.9751.042988303806810.0188071207176474
0.981.048362473905470.0216747104665413
0.9851.053821670036710.0252668138202519
0.991.059011242163490.02912490445138


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; 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')