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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 computationMon, 22 Oct 2007 13:11:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/22/9aunjbazz610ys21193083622.htm/, Retrieved Mon, 06 May 2024 05:21:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1397, Retrieved Mon, 06 May 2024 05:21:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [WS3EVHQ5] [2007-10-22 20:11:19] [142ab5472309a9ae9a3b52678758dc4a] [Current]
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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
1.026192703
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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1397&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1397&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1397&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6903574823081820.0257493744938832
0.020.7006851289064970.021734532514729
0.030.7112036616821370.0181409407214812
0.040.720238984384720.0152701505942662
0.050.7274408814134870.0130169628370724
0.060.7330999213570140.0113755336274530
0.070.7376593354487540.0104102672587416
0.080.741512738453780.0100957980377989
0.090.744955141615840.0102701844619835
0.10.7481864285820470.0107193845356072
0.110.7513279103163620.0112601657760742
0.120.7544418052122760.0117752995862039
0.130.757550632499920.0122043778163178
0.140.760654299486320.0125298799458765
0.150.7637433053434060.0127639590477691
0.160.7668075494625120.012937217037477
0.170.7698411096453410.0130890257027324
0.180.772843795481730.0132543391742880
0.190.7758203960370540.0134562040704081
0.20.778778507182080.0137014134900641
0.210.781725742453370.0139761760838112
0.220.784667022737090.014254906668871
0.230.7876024948688150.0145009100196785
0.240.7905264451849560.0146742460172555
0.250.793427366340790.0147425838993809
0.260.7962891303806530.0146806157352704
0.270.7990930449262890.0144813558459163
0.280.8018204433897070.0141518828509622
0.290.8044553968438990.0137166291746623
0.30.8069871382093710.0132144865802642
0.310.8094118534720780.0126954985073174
0.320.8117336061086860.0122127590106538
0.330.8139642994700860.0118197530780406
0.340.8161227239319740.0115605302029674
0.350.8182328586074670.0114653295564385
0.360.8203216841359230.0115477666075857
0.370.822416804494980.0118008984086779
0.380.8245441716815950.0122015373336842
0.390.826726164489670.0127161972913673
0.40.828980202980720.0133047190084541
0.410.8313179966309320.0139270942039374
0.420.8337454388138560.0145468382768111
0.430.8362630834732790.0151326313986313
0.440.8388670792909960.0156627183912659
0.450.8415503975219250.0161249314936152
0.460.8443041744497640.0165157734928721
0.470.847118997713240.0168385143727890
0.480.8499859941259850.0171040905359246
0.490.8528976188598050.0173246160284153
0.50.8558480939932980.0175143229302128
0.510.8588334903013120.0176871470530748
0.520.861851483358480.0178499332357475
0.530.864900840362480.0180101805121891
0.540.8679807081071460.0181670326317408
0.550.871089778798590.0183152217343903
0.560.8742254136022550.0184445154323164
0.570.87738280749570.0185417822082271
0.580.8805542837879860.0185853019135757
0.590.8837288096407720.0185546256675338
0.60.8868918197174030.0184274237550889
0.610.8900254182823880.0181815126038245
0.620.893108998147960.0178003184355686
0.630.8961202704309170.0172750557804465
0.640.8990366504007640.0166064564640451
0.650.901836903877350.0158060406733841
0.660.9045029377773640.0148957772281856
0.670.907021624760360.0139084949432564
0.680.909386583594680.0128841617006653
0.690.911599880774640.0118732217969068
0.70.9136736522367340.0109276070046339
0.710.9156316395187150.0101118222886584
0.720.9175105695819820.0094955906524746
0.730.9193611741667920.00916083841819465
0.740.921248460770140.00919703433683982
0.750.9232506625810740.00968438506916855
0.760.9254561883433430.0106742913471305
0.770.9279579609765650.0121649595096515
0.780.9308448613948550.0140954137567437
0.790.934190619123560.0163422947029298
0.80.938041365031490.0187253547553665
0.810.9424040217808930.0210153504000639
0.820.9472384824089780.0229581518854807
0.830.952456777322720.0243101462873557
0.840.9579318286391690.024886670194248
0.850.9635167295233330.0246046329518060
0.860.9690727846392930.0235246397989794
0.870.9745011651072760.0218629790162297
0.880.9797697824405520.0199805985887911
0.890.9849252463835710.0183298783311204
0.90.9900814596140850.0173304254644116
0.910.9953835692027580.0171531920939682
0.921.000959599044210.0175490373660681
0.931.006889460926540.0179383444747054
0.941.013231741173920.0177538738190025
0.951.020129917136740.0168765909408637
0.961.027939333519310.0161209786732948
0.971.037167521194920.0174324825582754
0.981.047920937174680.0223196274919401
0.991.058853123692230.0295050170940449

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.690357482308182 & 0.0257493744938832 \tabularnewline
0.02 & 0.700685128906497 & 0.021734532514729 \tabularnewline
0.03 & 0.711203661682137 & 0.0181409407214812 \tabularnewline
0.04 & 0.72023898438472 & 0.0152701505942662 \tabularnewline
0.05 & 0.727440881413487 & 0.0130169628370724 \tabularnewline
0.06 & 0.733099921357014 & 0.0113755336274530 \tabularnewline
0.07 & 0.737659335448754 & 0.0104102672587416 \tabularnewline
0.08 & 0.74151273845378 & 0.0100957980377989 \tabularnewline
0.09 & 0.74495514161584 & 0.0102701844619835 \tabularnewline
0.1 & 0.748186428582047 & 0.0107193845356072 \tabularnewline
0.11 & 0.751327910316362 & 0.0112601657760742 \tabularnewline
0.12 & 0.754441805212276 & 0.0117752995862039 \tabularnewline
0.13 & 0.75755063249992 & 0.0122043778163178 \tabularnewline
0.14 & 0.76065429948632 & 0.0125298799458765 \tabularnewline
0.15 & 0.763743305343406 & 0.0127639590477691 \tabularnewline
0.16 & 0.766807549462512 & 0.012937217037477 \tabularnewline
0.17 & 0.769841109645341 & 0.0130890257027324 \tabularnewline
0.18 & 0.77284379548173 & 0.0132543391742880 \tabularnewline
0.19 & 0.775820396037054 & 0.0134562040704081 \tabularnewline
0.2 & 0.77877850718208 & 0.0137014134900641 \tabularnewline
0.21 & 0.78172574245337 & 0.0139761760838112 \tabularnewline
0.22 & 0.78466702273709 & 0.014254906668871 \tabularnewline
0.23 & 0.787602494868815 & 0.0145009100196785 \tabularnewline
0.24 & 0.790526445184956 & 0.0146742460172555 \tabularnewline
0.25 & 0.79342736634079 & 0.0147425838993809 \tabularnewline
0.26 & 0.796289130380653 & 0.0146806157352704 \tabularnewline
0.27 & 0.799093044926289 & 0.0144813558459163 \tabularnewline
0.28 & 0.801820443389707 & 0.0141518828509622 \tabularnewline
0.29 & 0.804455396843899 & 0.0137166291746623 \tabularnewline
0.3 & 0.806987138209371 & 0.0132144865802642 \tabularnewline
0.31 & 0.809411853472078 & 0.0126954985073174 \tabularnewline
0.32 & 0.811733606108686 & 0.0122127590106538 \tabularnewline
0.33 & 0.813964299470086 & 0.0118197530780406 \tabularnewline
0.34 & 0.816122723931974 & 0.0115605302029674 \tabularnewline
0.35 & 0.818232858607467 & 0.0114653295564385 \tabularnewline
0.36 & 0.820321684135923 & 0.0115477666075857 \tabularnewline
0.37 & 0.82241680449498 & 0.0118008984086779 \tabularnewline
0.38 & 0.824544171681595 & 0.0122015373336842 \tabularnewline
0.39 & 0.82672616448967 & 0.0127161972913673 \tabularnewline
0.4 & 0.82898020298072 & 0.0133047190084541 \tabularnewline
0.41 & 0.831317996630932 & 0.0139270942039374 \tabularnewline
0.42 & 0.833745438813856 & 0.0145468382768111 \tabularnewline
0.43 & 0.836263083473279 & 0.0151326313986313 \tabularnewline
0.44 & 0.838867079290996 & 0.0156627183912659 \tabularnewline
0.45 & 0.841550397521925 & 0.0161249314936152 \tabularnewline
0.46 & 0.844304174449764 & 0.0165157734928721 \tabularnewline
0.47 & 0.84711899771324 & 0.0168385143727890 \tabularnewline
0.48 & 0.849985994125985 & 0.0171040905359246 \tabularnewline
0.49 & 0.852897618859805 & 0.0173246160284153 \tabularnewline
0.5 & 0.855848093993298 & 0.0175143229302128 \tabularnewline
0.51 & 0.858833490301312 & 0.0176871470530748 \tabularnewline
0.52 & 0.86185148335848 & 0.0178499332357475 \tabularnewline
0.53 & 0.86490084036248 & 0.0180101805121891 \tabularnewline
0.54 & 0.867980708107146 & 0.0181670326317408 \tabularnewline
0.55 & 0.87108977879859 & 0.0183152217343903 \tabularnewline
0.56 & 0.874225413602255 & 0.0184445154323164 \tabularnewline
0.57 & 0.8773828074957 & 0.0185417822082271 \tabularnewline
0.58 & 0.880554283787986 & 0.0185853019135757 \tabularnewline
0.59 & 0.883728809640772 & 0.0185546256675338 \tabularnewline
0.6 & 0.886891819717403 & 0.0184274237550889 \tabularnewline
0.61 & 0.890025418282388 & 0.0181815126038245 \tabularnewline
0.62 & 0.89310899814796 & 0.0178003184355686 \tabularnewline
0.63 & 0.896120270430917 & 0.0172750557804465 \tabularnewline
0.64 & 0.899036650400764 & 0.0166064564640451 \tabularnewline
0.65 & 0.90183690387735 & 0.0158060406733841 \tabularnewline
0.66 & 0.904502937777364 & 0.0148957772281856 \tabularnewline
0.67 & 0.90702162476036 & 0.0139084949432564 \tabularnewline
0.68 & 0.90938658359468 & 0.0128841617006653 \tabularnewline
0.69 & 0.91159988077464 & 0.0118732217969068 \tabularnewline
0.7 & 0.913673652236734 & 0.0109276070046339 \tabularnewline
0.71 & 0.915631639518715 & 0.0101118222886584 \tabularnewline
0.72 & 0.917510569581982 & 0.0094955906524746 \tabularnewline
0.73 & 0.919361174166792 & 0.00916083841819465 \tabularnewline
0.74 & 0.92124846077014 & 0.00919703433683982 \tabularnewline
0.75 & 0.923250662581074 & 0.00968438506916855 \tabularnewline
0.76 & 0.925456188343343 & 0.0106742913471305 \tabularnewline
0.77 & 0.927957960976565 & 0.0121649595096515 \tabularnewline
0.78 & 0.930844861394855 & 0.0140954137567437 \tabularnewline
0.79 & 0.93419061912356 & 0.0163422947029298 \tabularnewline
0.8 & 0.93804136503149 & 0.0187253547553665 \tabularnewline
0.81 & 0.942404021780893 & 0.0210153504000639 \tabularnewline
0.82 & 0.947238482408978 & 0.0229581518854807 \tabularnewline
0.83 & 0.95245677732272 & 0.0243101462873557 \tabularnewline
0.84 & 0.957931828639169 & 0.024886670194248 \tabularnewline
0.85 & 0.963516729523333 & 0.0246046329518060 \tabularnewline
0.86 & 0.969072784639293 & 0.0235246397989794 \tabularnewline
0.87 & 0.974501165107276 & 0.0218629790162297 \tabularnewline
0.88 & 0.979769782440552 & 0.0199805985887911 \tabularnewline
0.89 & 0.984925246383571 & 0.0183298783311204 \tabularnewline
0.9 & 0.990081459614085 & 0.0173304254644116 \tabularnewline
0.91 & 0.995383569202758 & 0.0171531920939682 \tabularnewline
0.92 & 1.00095959904421 & 0.0175490373660681 \tabularnewline
0.93 & 1.00688946092654 & 0.0179383444747054 \tabularnewline
0.94 & 1.01323174117392 & 0.0177538738190025 \tabularnewline
0.95 & 1.02012991713674 & 0.0168765909408637 \tabularnewline
0.96 & 1.02793933351931 & 0.0161209786732948 \tabularnewline
0.97 & 1.03716752119492 & 0.0174324825582754 \tabularnewline
0.98 & 1.04792093717468 & 0.0223196274919401 \tabularnewline
0.99 & 1.05885312369223 & 0.0295050170940449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1397&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]0.690357482308182[/C][C]0.0257493744938832[/C][/ROW]
[ROW][C]0.02[/C][C]0.700685128906497[/C][C]0.021734532514729[/C][/ROW]
[ROW][C]0.03[/C][C]0.711203661682137[/C][C]0.0181409407214812[/C][/ROW]
[ROW][C]0.04[/C][C]0.72023898438472[/C][C]0.0152701505942662[/C][/ROW]
[ROW][C]0.05[/C][C]0.727440881413487[/C][C]0.0130169628370724[/C][/ROW]
[ROW][C]0.06[/C][C]0.733099921357014[/C][C]0.0113755336274530[/C][/ROW]
[ROW][C]0.07[/C][C]0.737659335448754[/C][C]0.0104102672587416[/C][/ROW]
[ROW][C]0.08[/C][C]0.74151273845378[/C][C]0.0100957980377989[/C][/ROW]
[ROW][C]0.09[/C][C]0.74495514161584[/C][C]0.0102701844619835[/C][/ROW]
[ROW][C]0.1[/C][C]0.748186428582047[/C][C]0.0107193845356072[/C][/ROW]
[ROW][C]0.11[/C][C]0.751327910316362[/C][C]0.0112601657760742[/C][/ROW]
[ROW][C]0.12[/C][C]0.754441805212276[/C][C]0.0117752995862039[/C][/ROW]
[ROW][C]0.13[/C][C]0.75755063249992[/C][C]0.0122043778163178[/C][/ROW]
[ROW][C]0.14[/C][C]0.76065429948632[/C][C]0.0125298799458765[/C][/ROW]
[ROW][C]0.15[/C][C]0.763743305343406[/C][C]0.0127639590477691[/C][/ROW]
[ROW][C]0.16[/C][C]0.766807549462512[/C][C]0.012937217037477[/C][/ROW]
[ROW][C]0.17[/C][C]0.769841109645341[/C][C]0.0130890257027324[/C][/ROW]
[ROW][C]0.18[/C][C]0.77284379548173[/C][C]0.0132543391742880[/C][/ROW]
[ROW][C]0.19[/C][C]0.775820396037054[/C][C]0.0134562040704081[/C][/ROW]
[ROW][C]0.2[/C][C]0.77877850718208[/C][C]0.0137014134900641[/C][/ROW]
[ROW][C]0.21[/C][C]0.78172574245337[/C][C]0.0139761760838112[/C][/ROW]
[ROW][C]0.22[/C][C]0.78466702273709[/C][C]0.014254906668871[/C][/ROW]
[ROW][C]0.23[/C][C]0.787602494868815[/C][C]0.0145009100196785[/C][/ROW]
[ROW][C]0.24[/C][C]0.790526445184956[/C][C]0.0146742460172555[/C][/ROW]
[ROW][C]0.25[/C][C]0.79342736634079[/C][C]0.0147425838993809[/C][/ROW]
[ROW][C]0.26[/C][C]0.796289130380653[/C][C]0.0146806157352704[/C][/ROW]
[ROW][C]0.27[/C][C]0.799093044926289[/C][C]0.0144813558459163[/C][/ROW]
[ROW][C]0.28[/C][C]0.801820443389707[/C][C]0.0141518828509622[/C][/ROW]
[ROW][C]0.29[/C][C]0.804455396843899[/C][C]0.0137166291746623[/C][/ROW]
[ROW][C]0.3[/C][C]0.806987138209371[/C][C]0.0132144865802642[/C][/ROW]
[ROW][C]0.31[/C][C]0.809411853472078[/C][C]0.0126954985073174[/C][/ROW]
[ROW][C]0.32[/C][C]0.811733606108686[/C][C]0.0122127590106538[/C][/ROW]
[ROW][C]0.33[/C][C]0.813964299470086[/C][C]0.0118197530780406[/C][/ROW]
[ROW][C]0.34[/C][C]0.816122723931974[/C][C]0.0115605302029674[/C][/ROW]
[ROW][C]0.35[/C][C]0.818232858607467[/C][C]0.0114653295564385[/C][/ROW]
[ROW][C]0.36[/C][C]0.820321684135923[/C][C]0.0115477666075857[/C][/ROW]
[ROW][C]0.37[/C][C]0.82241680449498[/C][C]0.0118008984086779[/C][/ROW]
[ROW][C]0.38[/C][C]0.824544171681595[/C][C]0.0122015373336842[/C][/ROW]
[ROW][C]0.39[/C][C]0.82672616448967[/C][C]0.0127161972913673[/C][/ROW]
[ROW][C]0.4[/C][C]0.82898020298072[/C][C]0.0133047190084541[/C][/ROW]
[ROW][C]0.41[/C][C]0.831317996630932[/C][C]0.0139270942039374[/C][/ROW]
[ROW][C]0.42[/C][C]0.833745438813856[/C][C]0.0145468382768111[/C][/ROW]
[ROW][C]0.43[/C][C]0.836263083473279[/C][C]0.0151326313986313[/C][/ROW]
[ROW][C]0.44[/C][C]0.838867079290996[/C][C]0.0156627183912659[/C][/ROW]
[ROW][C]0.45[/C][C]0.841550397521925[/C][C]0.0161249314936152[/C][/ROW]
[ROW][C]0.46[/C][C]0.844304174449764[/C][C]0.0165157734928721[/C][/ROW]
[ROW][C]0.47[/C][C]0.84711899771324[/C][C]0.0168385143727890[/C][/ROW]
[ROW][C]0.48[/C][C]0.849985994125985[/C][C]0.0171040905359246[/C][/ROW]
[ROW][C]0.49[/C][C]0.852897618859805[/C][C]0.0173246160284153[/C][/ROW]
[ROW][C]0.5[/C][C]0.855848093993298[/C][C]0.0175143229302128[/C][/ROW]
[ROW][C]0.51[/C][C]0.858833490301312[/C][C]0.0176871470530748[/C][/ROW]
[ROW][C]0.52[/C][C]0.86185148335848[/C][C]0.0178499332357475[/C][/ROW]
[ROW][C]0.53[/C][C]0.86490084036248[/C][C]0.0180101805121891[/C][/ROW]
[ROW][C]0.54[/C][C]0.867980708107146[/C][C]0.0181670326317408[/C][/ROW]
[ROW][C]0.55[/C][C]0.87108977879859[/C][C]0.0183152217343903[/C][/ROW]
[ROW][C]0.56[/C][C]0.874225413602255[/C][C]0.0184445154323164[/C][/ROW]
[ROW][C]0.57[/C][C]0.8773828074957[/C][C]0.0185417822082271[/C][/ROW]
[ROW][C]0.58[/C][C]0.880554283787986[/C][C]0.0185853019135757[/C][/ROW]
[ROW][C]0.59[/C][C]0.883728809640772[/C][C]0.0185546256675338[/C][/ROW]
[ROW][C]0.6[/C][C]0.886891819717403[/C][C]0.0184274237550889[/C][/ROW]
[ROW][C]0.61[/C][C]0.890025418282388[/C][C]0.0181815126038245[/C][/ROW]
[ROW][C]0.62[/C][C]0.89310899814796[/C][C]0.0178003184355686[/C][/ROW]
[ROW][C]0.63[/C][C]0.896120270430917[/C][C]0.0172750557804465[/C][/ROW]
[ROW][C]0.64[/C][C]0.899036650400764[/C][C]0.0166064564640451[/C][/ROW]
[ROW][C]0.65[/C][C]0.90183690387735[/C][C]0.0158060406733841[/C][/ROW]
[ROW][C]0.66[/C][C]0.904502937777364[/C][C]0.0148957772281856[/C][/ROW]
[ROW][C]0.67[/C][C]0.90702162476036[/C][C]0.0139084949432564[/C][/ROW]
[ROW][C]0.68[/C][C]0.90938658359468[/C][C]0.0128841617006653[/C][/ROW]
[ROW][C]0.69[/C][C]0.91159988077464[/C][C]0.0118732217969068[/C][/ROW]
[ROW][C]0.7[/C][C]0.913673652236734[/C][C]0.0109276070046339[/C][/ROW]
[ROW][C]0.71[/C][C]0.915631639518715[/C][C]0.0101118222886584[/C][/ROW]
[ROW][C]0.72[/C][C]0.917510569581982[/C][C]0.0094955906524746[/C][/ROW]
[ROW][C]0.73[/C][C]0.919361174166792[/C][C]0.00916083841819465[/C][/ROW]
[ROW][C]0.74[/C][C]0.92124846077014[/C][C]0.00919703433683982[/C][/ROW]
[ROW][C]0.75[/C][C]0.923250662581074[/C][C]0.00968438506916855[/C][/ROW]
[ROW][C]0.76[/C][C]0.925456188343343[/C][C]0.0106742913471305[/C][/ROW]
[ROW][C]0.77[/C][C]0.927957960976565[/C][C]0.0121649595096515[/C][/ROW]
[ROW][C]0.78[/C][C]0.930844861394855[/C][C]0.0140954137567437[/C][/ROW]
[ROW][C]0.79[/C][C]0.93419061912356[/C][C]0.0163422947029298[/C][/ROW]
[ROW][C]0.8[/C][C]0.93804136503149[/C][C]0.0187253547553665[/C][/ROW]
[ROW][C]0.81[/C][C]0.942404021780893[/C][C]0.0210153504000639[/C][/ROW]
[ROW][C]0.82[/C][C]0.947238482408978[/C][C]0.0229581518854807[/C][/ROW]
[ROW][C]0.83[/C][C]0.95245677732272[/C][C]0.0243101462873557[/C][/ROW]
[ROW][C]0.84[/C][C]0.957931828639169[/C][C]0.024886670194248[/C][/ROW]
[ROW][C]0.85[/C][C]0.963516729523333[/C][C]0.0246046329518060[/C][/ROW]
[ROW][C]0.86[/C][C]0.969072784639293[/C][C]0.0235246397989794[/C][/ROW]
[ROW][C]0.87[/C][C]0.974501165107276[/C][C]0.0218629790162297[/C][/ROW]
[ROW][C]0.88[/C][C]0.979769782440552[/C][C]0.0199805985887911[/C][/ROW]
[ROW][C]0.89[/C][C]0.984925246383571[/C][C]0.0183298783311204[/C][/ROW]
[ROW][C]0.9[/C][C]0.990081459614085[/C][C]0.0173304254644116[/C][/ROW]
[ROW][C]0.91[/C][C]0.995383569202758[/C][C]0.0171531920939682[/C][/ROW]
[ROW][C]0.92[/C][C]1.00095959904421[/C][C]0.0175490373660681[/C][/ROW]
[ROW][C]0.93[/C][C]1.00688946092654[/C][C]0.0179383444747054[/C][/ROW]
[ROW][C]0.94[/C][C]1.01323174117392[/C][C]0.0177538738190025[/C][/ROW]
[ROW][C]0.95[/C][C]1.02012991713674[/C][C]0.0168765909408637[/C][/ROW]
[ROW][C]0.96[/C][C]1.02793933351931[/C][C]0.0161209786732948[/C][/ROW]
[ROW][C]0.97[/C][C]1.03716752119492[/C][C]0.0174324825582754[/C][/ROW]
[ROW][C]0.98[/C][C]1.04792093717468[/C][C]0.0223196274919401[/C][/ROW]
[ROW][C]0.99[/C][C]1.05885312369223[/C][C]0.0295050170940449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1397&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1397&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
0.010.6903574823081820.0257493744938832
0.020.7006851289064970.021734532514729
0.030.7112036616821370.0181409407214812
0.040.720238984384720.0152701505942662
0.050.7274408814134870.0130169628370724
0.060.7330999213570140.0113755336274530
0.070.7376593354487540.0104102672587416
0.080.741512738453780.0100957980377989
0.090.744955141615840.0102701844619835
0.10.7481864285820470.0107193845356072
0.110.7513279103163620.0112601657760742
0.120.7544418052122760.0117752995862039
0.130.757550632499920.0122043778163178
0.140.760654299486320.0125298799458765
0.150.7637433053434060.0127639590477691
0.160.7668075494625120.012937217037477
0.170.7698411096453410.0130890257027324
0.180.772843795481730.0132543391742880
0.190.7758203960370540.0134562040704081
0.20.778778507182080.0137014134900641
0.210.781725742453370.0139761760838112
0.220.784667022737090.014254906668871
0.230.7876024948688150.0145009100196785
0.240.7905264451849560.0146742460172555
0.250.793427366340790.0147425838993809
0.260.7962891303806530.0146806157352704
0.270.7990930449262890.0144813558459163
0.280.8018204433897070.0141518828509622
0.290.8044553968438990.0137166291746623
0.30.8069871382093710.0132144865802642
0.310.8094118534720780.0126954985073174
0.320.8117336061086860.0122127590106538
0.330.8139642994700860.0118197530780406
0.340.8161227239319740.0115605302029674
0.350.8182328586074670.0114653295564385
0.360.8203216841359230.0115477666075857
0.370.822416804494980.0118008984086779
0.380.8245441716815950.0122015373336842
0.390.826726164489670.0127161972913673
0.40.828980202980720.0133047190084541
0.410.8313179966309320.0139270942039374
0.420.8337454388138560.0145468382768111
0.430.8362630834732790.0151326313986313
0.440.8388670792909960.0156627183912659
0.450.8415503975219250.0161249314936152
0.460.8443041744497640.0165157734928721
0.470.847118997713240.0168385143727890
0.480.8499859941259850.0171040905359246
0.490.8528976188598050.0173246160284153
0.50.8558480939932980.0175143229302128
0.510.8588334903013120.0176871470530748
0.520.861851483358480.0178499332357475
0.530.864900840362480.0180101805121891
0.540.8679807081071460.0181670326317408
0.550.871089778798590.0183152217343903
0.560.8742254136022550.0184445154323164
0.570.87738280749570.0185417822082271
0.580.8805542837879860.0185853019135757
0.590.8837288096407720.0185546256675338
0.60.8868918197174030.0184274237550889
0.610.8900254182823880.0181815126038245
0.620.893108998147960.0178003184355686
0.630.8961202704309170.0172750557804465
0.640.8990366504007640.0166064564640451
0.650.901836903877350.0158060406733841
0.660.9045029377773640.0148957772281856
0.670.907021624760360.0139084949432564
0.680.909386583594680.0128841617006653
0.690.911599880774640.0118732217969068
0.70.9136736522367340.0109276070046339
0.710.9156316395187150.0101118222886584
0.720.9175105695819820.0094955906524746
0.730.9193611741667920.00916083841819465
0.740.921248460770140.00919703433683982
0.750.9232506625810740.00968438506916855
0.760.9254561883433430.0106742913471305
0.770.9279579609765650.0121649595096515
0.780.9308448613948550.0140954137567437
0.790.934190619123560.0163422947029298
0.80.938041365031490.0187253547553665
0.810.9424040217808930.0210153504000639
0.820.9472384824089780.0229581518854807
0.830.952456777322720.0243101462873557
0.840.9579318286391690.024886670194248
0.850.9635167295233330.0246046329518060
0.860.9690727846392930.0235246397989794
0.870.9745011651072760.0218629790162297
0.880.9797697824405520.0199805985887911
0.890.9849252463835710.0183298783311204
0.90.9900814596140850.0173304254644116
0.910.9953835692027580.0171531920939682
0.921.000959599044210.0175490373660681
0.931.006889460926540.0179383444747054
0.941.013231741173920.0177538738190025
0.951.020129917136740.0168765909408637
0.961.027939333519310.0161209786732948
0.971.037167521194920.0174324825582754
0.981.047920937174680.0223196274919401
0.991.058853123692230.0295050170940449


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')