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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 25 May 2008 06:42:50 -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/May/25/t121171946966s0cxnmp33nv90.htm/, Retrieved Sun, 19 May 2024 04:33:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13133, Retrieved Sun, 19 May 2024 04:33:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203

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] [Opgave 4-eigen ge...] [2008-05-25 12:42:50] [d2d5a1abc260c111ab3a656a7350bc1c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,76
0,77
0,76
0,77
0,78
0,79
0,78
0,76
0,78
0,76
0,74
0,73
0,72
0,71
0,73
0,75
0,75
0,72
0,72
0,72
0,74
0,78
0,74
0,74
0,75
0,78
0,81
0,75
0,7
0,71
0,71
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,76
0,8
0,83
0,81
0,83
0,88
0,89
0,93
0,91
0,9
0,86
0,88
0,93
0,98
0,97
1,03
1,06
1,06
1,08
1,09
1,04
1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13133&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13133&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 time13 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7020418909046060.00803777927794163
0.020.7048420357173740.00583073712882382
0.030.7075408363313130.00429744169162194
0.040.7098165188947280.00393088288430406
0.050.7117412224077620.00432339680275492
0.060.7134868933598490.00482601760784626
0.070.7151665145913680.00514099045679616
0.080.7168151148965920.00525172039438819
0.090.7184277928852430.00526871592109609
0.10.7199954555281830.00531100620120469
0.110.7215196404365770.00543494218078105
0.120.7230109308014840.00562399510738474
0.130.7244812179218460.00582567025491793
0.140.7259371988961930.0059894234686684
0.150.7273778356988050.00608445341938282
0.160.7287952488543280.00610049035619514
0.170.7301773105650760.00603698143627667
0.180.7315104271843580.00589860666141795
0.190.7327817674699690.00569218556220399
0.20.7339808515301850.00542586191378982
0.210.7351007062716330.00511350584711864
0.220.7361387613873840.00477724360098658
0.230.7370974862532320.00444678863572534
0.240.7379846246607520.00415901022176327
0.250.7388128602816590.00395022976889049
0.260.7395988404188010.00385079573861176
0.270.7403616414286440.00387568804115788
0.280.7411209047499610.00402063592049703
0.290.741894954672970.00426417022873564
0.30.7426992072716980.00457600613881258
0.310.7435451043918630.0049241713461076
0.320.7444396868756130.00528025239790683
0.330.7453857930320380.00562241726759359
0.340.7463827624225960.00593608251781776
0.350.747427460365210.00621542020975216
0.360.7485154205842060.00646011169812193
0.370.7496419257085680.0066766745514222
0.380.7508028937586550.00687243164728546
0.390.7519954968010950.00705898682840396
0.40.753218491352970.00724674682260431
0.410.7544722802230590.0074440587268324
0.420.7557587502622660.00766024412913699
0.430.7570809433452660.0079006926557423
0.440.7584426247785780.00816848002715142
0.450.7598478194025120.00846289495518684
0.460.7613003927092350.0087803175734364
0.470.7628037598000790.00911326600549284
0.480.7643608031621740.00945577309437405
0.490.7659740646489110.00980122204849552
0.50.7676462438736980.0101481673358436
0.510.7693809857714950.0105009824864118
0.520.7711838816471590.0108744052350772
0.530.7730635526628480.0112903811311518
0.540.7750326461093490.0117814934207170
0.550.7771085642427850.0123827245025072
0.560.7793137681264080.0131308207115756
0.570.7816755517689530.0140557271993591
0.580.7842252539888060.0151792791882830
0.590.7869969509156940.0165083790764391
0.60.7900257345420550.0180346652582540
0.610.793345720609280.0197404716061171
0.620.7969879392094830.0215954753161676
0.630.8009782502567940.0235573280780653
0.640.8053354071936630.0255784484433348
0.650.8100693816940180.0276027652319977
0.660.815180070648370.0295690278337796
0.670.8206565345926320.0314122012779759
0.680.8264769509043160.0330665966987557
0.690.832609481570.034472098918267
0.70.8390142266816780.0355803380406635
0.710.845646340665020.0363625381975443
0.720.8524602254400140.03681501887876
0.730.8594145032006450.0369672313099478
0.740.8664772528360310.0368814777852023
0.750.8736308221082280.0366492120579717
0.760.8808754541199990.0363824008041870
0.770.8882310251451770.0362014107768350
0.780.8957363864989920.0362145187953849
0.790.9034461085990810.0365008125908419
0.80.9114247864160320.0370964820702877
0.810.9197394121865790.0379823214541923
0.820.9284505831698430.0390881958129315
0.830.937603435855490.0402984939461985
0.840.9472191653611180.0414670518182186
0.850.9572878348370740.0424324995954066
0.860.9677630028292350.0430318711480483
0.870.9785586499996750.0431130269572996
0.880.9895491369538240.0425425366555857
0.891.000573557116660.0412167718150725
0.91.011446694735060.0390769269599048
0.911.021979197886840.0361356735893236
0.921.032008209843400.0325133157952232
0.931.041434880278860.0284702831983986
0.941.050256077421770.0244180227562975
0.951.058566357358320.0208471121355059
0.961.066499445797250.0180737933836795
0.971.074087391365340.0158763960456951
0.981.081057528654760.0136312950664927
0.991.086688191111010.0112982850491372

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.702041890904606 & 0.00803777927794163 \tabularnewline
0.02 & 0.704842035717374 & 0.00583073712882382 \tabularnewline
0.03 & 0.707540836331313 & 0.00429744169162194 \tabularnewline
0.04 & 0.709816518894728 & 0.00393088288430406 \tabularnewline
0.05 & 0.711741222407762 & 0.00432339680275492 \tabularnewline
0.06 & 0.713486893359849 & 0.00482601760784626 \tabularnewline
0.07 & 0.715166514591368 & 0.00514099045679616 \tabularnewline
0.08 & 0.716815114896592 & 0.00525172039438819 \tabularnewline
0.09 & 0.718427792885243 & 0.00526871592109609 \tabularnewline
0.1 & 0.719995455528183 & 0.00531100620120469 \tabularnewline
0.11 & 0.721519640436577 & 0.00543494218078105 \tabularnewline
0.12 & 0.723010930801484 & 0.00562399510738474 \tabularnewline
0.13 & 0.724481217921846 & 0.00582567025491793 \tabularnewline
0.14 & 0.725937198896193 & 0.0059894234686684 \tabularnewline
0.15 & 0.727377835698805 & 0.00608445341938282 \tabularnewline
0.16 & 0.728795248854328 & 0.00610049035619514 \tabularnewline
0.17 & 0.730177310565076 & 0.00603698143627667 \tabularnewline
0.18 & 0.731510427184358 & 0.00589860666141795 \tabularnewline
0.19 & 0.732781767469969 & 0.00569218556220399 \tabularnewline
0.2 & 0.733980851530185 & 0.00542586191378982 \tabularnewline
0.21 & 0.735100706271633 & 0.00511350584711864 \tabularnewline
0.22 & 0.736138761387384 & 0.00477724360098658 \tabularnewline
0.23 & 0.737097486253232 & 0.00444678863572534 \tabularnewline
0.24 & 0.737984624660752 & 0.00415901022176327 \tabularnewline
0.25 & 0.738812860281659 & 0.00395022976889049 \tabularnewline
0.26 & 0.739598840418801 & 0.00385079573861176 \tabularnewline
0.27 & 0.740361641428644 & 0.00387568804115788 \tabularnewline
0.28 & 0.741120904749961 & 0.00402063592049703 \tabularnewline
0.29 & 0.74189495467297 & 0.00426417022873564 \tabularnewline
0.3 & 0.742699207271698 & 0.00457600613881258 \tabularnewline
0.31 & 0.743545104391863 & 0.0049241713461076 \tabularnewline
0.32 & 0.744439686875613 & 0.00528025239790683 \tabularnewline
0.33 & 0.745385793032038 & 0.00562241726759359 \tabularnewline
0.34 & 0.746382762422596 & 0.00593608251781776 \tabularnewline
0.35 & 0.74742746036521 & 0.00621542020975216 \tabularnewline
0.36 & 0.748515420584206 & 0.00646011169812193 \tabularnewline
0.37 & 0.749641925708568 & 0.0066766745514222 \tabularnewline
0.38 & 0.750802893758655 & 0.00687243164728546 \tabularnewline
0.39 & 0.751995496801095 & 0.00705898682840396 \tabularnewline
0.4 & 0.75321849135297 & 0.00724674682260431 \tabularnewline
0.41 & 0.754472280223059 & 0.0074440587268324 \tabularnewline
0.42 & 0.755758750262266 & 0.00766024412913699 \tabularnewline
0.43 & 0.757080943345266 & 0.0079006926557423 \tabularnewline
0.44 & 0.758442624778578 & 0.00816848002715142 \tabularnewline
0.45 & 0.759847819402512 & 0.00846289495518684 \tabularnewline
0.46 & 0.761300392709235 & 0.0087803175734364 \tabularnewline
0.47 & 0.762803759800079 & 0.00911326600549284 \tabularnewline
0.48 & 0.764360803162174 & 0.00945577309437405 \tabularnewline
0.49 & 0.765974064648911 & 0.00980122204849552 \tabularnewline
0.5 & 0.767646243873698 & 0.0101481673358436 \tabularnewline
0.51 & 0.769380985771495 & 0.0105009824864118 \tabularnewline
0.52 & 0.771183881647159 & 0.0108744052350772 \tabularnewline
0.53 & 0.773063552662848 & 0.0112903811311518 \tabularnewline
0.54 & 0.775032646109349 & 0.0117814934207170 \tabularnewline
0.55 & 0.777108564242785 & 0.0123827245025072 \tabularnewline
0.56 & 0.779313768126408 & 0.0131308207115756 \tabularnewline
0.57 & 0.781675551768953 & 0.0140557271993591 \tabularnewline
0.58 & 0.784225253988806 & 0.0151792791882830 \tabularnewline
0.59 & 0.786996950915694 & 0.0165083790764391 \tabularnewline
0.6 & 0.790025734542055 & 0.0180346652582540 \tabularnewline
0.61 & 0.79334572060928 & 0.0197404716061171 \tabularnewline
0.62 & 0.796987939209483 & 0.0215954753161676 \tabularnewline
0.63 & 0.800978250256794 & 0.0235573280780653 \tabularnewline
0.64 & 0.805335407193663 & 0.0255784484433348 \tabularnewline
0.65 & 0.810069381694018 & 0.0276027652319977 \tabularnewline
0.66 & 0.81518007064837 & 0.0295690278337796 \tabularnewline
0.67 & 0.820656534592632 & 0.0314122012779759 \tabularnewline
0.68 & 0.826476950904316 & 0.0330665966987557 \tabularnewline
0.69 & 0.83260948157 & 0.034472098918267 \tabularnewline
0.7 & 0.839014226681678 & 0.0355803380406635 \tabularnewline
0.71 & 0.84564634066502 & 0.0363625381975443 \tabularnewline
0.72 & 0.852460225440014 & 0.03681501887876 \tabularnewline
0.73 & 0.859414503200645 & 0.0369672313099478 \tabularnewline
0.74 & 0.866477252836031 & 0.0368814777852023 \tabularnewline
0.75 & 0.873630822108228 & 0.0366492120579717 \tabularnewline
0.76 & 0.880875454119999 & 0.0363824008041870 \tabularnewline
0.77 & 0.888231025145177 & 0.0362014107768350 \tabularnewline
0.78 & 0.895736386498992 & 0.0362145187953849 \tabularnewline
0.79 & 0.903446108599081 & 0.0365008125908419 \tabularnewline
0.8 & 0.911424786416032 & 0.0370964820702877 \tabularnewline
0.81 & 0.919739412186579 & 0.0379823214541923 \tabularnewline
0.82 & 0.928450583169843 & 0.0390881958129315 \tabularnewline
0.83 & 0.93760343585549 & 0.0402984939461985 \tabularnewline
0.84 & 0.947219165361118 & 0.0414670518182186 \tabularnewline
0.85 & 0.957287834837074 & 0.0424324995954066 \tabularnewline
0.86 & 0.967763002829235 & 0.0430318711480483 \tabularnewline
0.87 & 0.978558649999675 & 0.0431130269572996 \tabularnewline
0.88 & 0.989549136953824 & 0.0425425366555857 \tabularnewline
0.89 & 1.00057355711666 & 0.0412167718150725 \tabularnewline
0.9 & 1.01144669473506 & 0.0390769269599048 \tabularnewline
0.91 & 1.02197919788684 & 0.0361356735893236 \tabularnewline
0.92 & 1.03200820984340 & 0.0325133157952232 \tabularnewline
0.93 & 1.04143488027886 & 0.0284702831983986 \tabularnewline
0.94 & 1.05025607742177 & 0.0244180227562975 \tabularnewline
0.95 & 1.05856635735832 & 0.0208471121355059 \tabularnewline
0.96 & 1.06649944579725 & 0.0180737933836795 \tabularnewline
0.97 & 1.07408739136534 & 0.0158763960456951 \tabularnewline
0.98 & 1.08105752865476 & 0.0136312950664927 \tabularnewline
0.99 & 1.08668819111101 & 0.0112982850491372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13133&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]0.702041890904606[/C][C]0.00803777927794163[/C][/ROW]
[ROW][C]0.02[/C][C]0.704842035717374[/C][C]0.00583073712882382[/C][/ROW]
[ROW][C]0.03[/C][C]0.707540836331313[/C][C]0.00429744169162194[/C][/ROW]
[ROW][C]0.04[/C][C]0.709816518894728[/C][C]0.00393088288430406[/C][/ROW]
[ROW][C]0.05[/C][C]0.711741222407762[/C][C]0.00432339680275492[/C][/ROW]
[ROW][C]0.06[/C][C]0.713486893359849[/C][C]0.00482601760784626[/C][/ROW]
[ROW][C]0.07[/C][C]0.715166514591368[/C][C]0.00514099045679616[/C][/ROW]
[ROW][C]0.08[/C][C]0.716815114896592[/C][C]0.00525172039438819[/C][/ROW]
[ROW][C]0.09[/C][C]0.718427792885243[/C][C]0.00526871592109609[/C][/ROW]
[ROW][C]0.1[/C][C]0.719995455528183[/C][C]0.00531100620120469[/C][/ROW]
[ROW][C]0.11[/C][C]0.721519640436577[/C][C]0.00543494218078105[/C][/ROW]
[ROW][C]0.12[/C][C]0.723010930801484[/C][C]0.00562399510738474[/C][/ROW]
[ROW][C]0.13[/C][C]0.724481217921846[/C][C]0.00582567025491793[/C][/ROW]
[ROW][C]0.14[/C][C]0.725937198896193[/C][C]0.0059894234686684[/C][/ROW]
[ROW][C]0.15[/C][C]0.727377835698805[/C][C]0.00608445341938282[/C][/ROW]
[ROW][C]0.16[/C][C]0.728795248854328[/C][C]0.00610049035619514[/C][/ROW]
[ROW][C]0.17[/C][C]0.730177310565076[/C][C]0.00603698143627667[/C][/ROW]
[ROW][C]0.18[/C][C]0.731510427184358[/C][C]0.00589860666141795[/C][/ROW]
[ROW][C]0.19[/C][C]0.732781767469969[/C][C]0.00569218556220399[/C][/ROW]
[ROW][C]0.2[/C][C]0.733980851530185[/C][C]0.00542586191378982[/C][/ROW]
[ROW][C]0.21[/C][C]0.735100706271633[/C][C]0.00511350584711864[/C][/ROW]
[ROW][C]0.22[/C][C]0.736138761387384[/C][C]0.00477724360098658[/C][/ROW]
[ROW][C]0.23[/C][C]0.737097486253232[/C][C]0.00444678863572534[/C][/ROW]
[ROW][C]0.24[/C][C]0.737984624660752[/C][C]0.00415901022176327[/C][/ROW]
[ROW][C]0.25[/C][C]0.738812860281659[/C][C]0.00395022976889049[/C][/ROW]
[ROW][C]0.26[/C][C]0.739598840418801[/C][C]0.00385079573861176[/C][/ROW]
[ROW][C]0.27[/C][C]0.740361641428644[/C][C]0.00387568804115788[/C][/ROW]
[ROW][C]0.28[/C][C]0.741120904749961[/C][C]0.00402063592049703[/C][/ROW]
[ROW][C]0.29[/C][C]0.74189495467297[/C][C]0.00426417022873564[/C][/ROW]
[ROW][C]0.3[/C][C]0.742699207271698[/C][C]0.00457600613881258[/C][/ROW]
[ROW][C]0.31[/C][C]0.743545104391863[/C][C]0.0049241713461076[/C][/ROW]
[ROW][C]0.32[/C][C]0.744439686875613[/C][C]0.00528025239790683[/C][/ROW]
[ROW][C]0.33[/C][C]0.745385793032038[/C][C]0.00562241726759359[/C][/ROW]
[ROW][C]0.34[/C][C]0.746382762422596[/C][C]0.00593608251781776[/C][/ROW]
[ROW][C]0.35[/C][C]0.74742746036521[/C][C]0.00621542020975216[/C][/ROW]
[ROW][C]0.36[/C][C]0.748515420584206[/C][C]0.00646011169812193[/C][/ROW]
[ROW][C]0.37[/C][C]0.749641925708568[/C][C]0.0066766745514222[/C][/ROW]
[ROW][C]0.38[/C][C]0.750802893758655[/C][C]0.00687243164728546[/C][/ROW]
[ROW][C]0.39[/C][C]0.751995496801095[/C][C]0.00705898682840396[/C][/ROW]
[ROW][C]0.4[/C][C]0.75321849135297[/C][C]0.00724674682260431[/C][/ROW]
[ROW][C]0.41[/C][C]0.754472280223059[/C][C]0.0074440587268324[/C][/ROW]
[ROW][C]0.42[/C][C]0.755758750262266[/C][C]0.00766024412913699[/C][/ROW]
[ROW][C]0.43[/C][C]0.757080943345266[/C][C]0.0079006926557423[/C][/ROW]
[ROW][C]0.44[/C][C]0.758442624778578[/C][C]0.00816848002715142[/C][/ROW]
[ROW][C]0.45[/C][C]0.759847819402512[/C][C]0.00846289495518684[/C][/ROW]
[ROW][C]0.46[/C][C]0.761300392709235[/C][C]0.0087803175734364[/C][/ROW]
[ROW][C]0.47[/C][C]0.762803759800079[/C][C]0.00911326600549284[/C][/ROW]
[ROW][C]0.48[/C][C]0.764360803162174[/C][C]0.00945577309437405[/C][/ROW]
[ROW][C]0.49[/C][C]0.765974064648911[/C][C]0.00980122204849552[/C][/ROW]
[ROW][C]0.5[/C][C]0.767646243873698[/C][C]0.0101481673358436[/C][/ROW]
[ROW][C]0.51[/C][C]0.769380985771495[/C][C]0.0105009824864118[/C][/ROW]
[ROW][C]0.52[/C][C]0.771183881647159[/C][C]0.0108744052350772[/C][/ROW]
[ROW][C]0.53[/C][C]0.773063552662848[/C][C]0.0112903811311518[/C][/ROW]
[ROW][C]0.54[/C][C]0.775032646109349[/C][C]0.0117814934207170[/C][/ROW]
[ROW][C]0.55[/C][C]0.777108564242785[/C][C]0.0123827245025072[/C][/ROW]
[ROW][C]0.56[/C][C]0.779313768126408[/C][C]0.0131308207115756[/C][/ROW]
[ROW][C]0.57[/C][C]0.781675551768953[/C][C]0.0140557271993591[/C][/ROW]
[ROW][C]0.58[/C][C]0.784225253988806[/C][C]0.0151792791882830[/C][/ROW]
[ROW][C]0.59[/C][C]0.786996950915694[/C][C]0.0165083790764391[/C][/ROW]
[ROW][C]0.6[/C][C]0.790025734542055[/C][C]0.0180346652582540[/C][/ROW]
[ROW][C]0.61[/C][C]0.79334572060928[/C][C]0.0197404716061171[/C][/ROW]
[ROW][C]0.62[/C][C]0.796987939209483[/C][C]0.0215954753161676[/C][/ROW]
[ROW][C]0.63[/C][C]0.800978250256794[/C][C]0.0235573280780653[/C][/ROW]
[ROW][C]0.64[/C][C]0.805335407193663[/C][C]0.0255784484433348[/C][/ROW]
[ROW][C]0.65[/C][C]0.810069381694018[/C][C]0.0276027652319977[/C][/ROW]
[ROW][C]0.66[/C][C]0.81518007064837[/C][C]0.0295690278337796[/C][/ROW]
[ROW][C]0.67[/C][C]0.820656534592632[/C][C]0.0314122012779759[/C][/ROW]
[ROW][C]0.68[/C][C]0.826476950904316[/C][C]0.0330665966987557[/C][/ROW]
[ROW][C]0.69[/C][C]0.83260948157[/C][C]0.034472098918267[/C][/ROW]
[ROW][C]0.7[/C][C]0.839014226681678[/C][C]0.0355803380406635[/C][/ROW]
[ROW][C]0.71[/C][C]0.84564634066502[/C][C]0.0363625381975443[/C][/ROW]
[ROW][C]0.72[/C][C]0.852460225440014[/C][C]0.03681501887876[/C][/ROW]
[ROW][C]0.73[/C][C]0.859414503200645[/C][C]0.0369672313099478[/C][/ROW]
[ROW][C]0.74[/C][C]0.866477252836031[/C][C]0.0368814777852023[/C][/ROW]
[ROW][C]0.75[/C][C]0.873630822108228[/C][C]0.0366492120579717[/C][/ROW]
[ROW][C]0.76[/C][C]0.880875454119999[/C][C]0.0363824008041870[/C][/ROW]
[ROW][C]0.77[/C][C]0.888231025145177[/C][C]0.0362014107768350[/C][/ROW]
[ROW][C]0.78[/C][C]0.895736386498992[/C][C]0.0362145187953849[/C][/ROW]
[ROW][C]0.79[/C][C]0.903446108599081[/C][C]0.0365008125908419[/C][/ROW]
[ROW][C]0.8[/C][C]0.911424786416032[/C][C]0.0370964820702877[/C][/ROW]
[ROW][C]0.81[/C][C]0.919739412186579[/C][C]0.0379823214541923[/C][/ROW]
[ROW][C]0.82[/C][C]0.928450583169843[/C][C]0.0390881958129315[/C][/ROW]
[ROW][C]0.83[/C][C]0.93760343585549[/C][C]0.0402984939461985[/C][/ROW]
[ROW][C]0.84[/C][C]0.947219165361118[/C][C]0.0414670518182186[/C][/ROW]
[ROW][C]0.85[/C][C]0.957287834837074[/C][C]0.0424324995954066[/C][/ROW]
[ROW][C]0.86[/C][C]0.967763002829235[/C][C]0.0430318711480483[/C][/ROW]
[ROW][C]0.87[/C][C]0.978558649999675[/C][C]0.0431130269572996[/C][/ROW]
[ROW][C]0.88[/C][C]0.989549136953824[/C][C]0.0425425366555857[/C][/ROW]
[ROW][C]0.89[/C][C]1.00057355711666[/C][C]0.0412167718150725[/C][/ROW]
[ROW][C]0.9[/C][C]1.01144669473506[/C][C]0.0390769269599048[/C][/ROW]
[ROW][C]0.91[/C][C]1.02197919788684[/C][C]0.0361356735893236[/C][/ROW]
[ROW][C]0.92[/C][C]1.03200820984340[/C][C]0.0325133157952232[/C][/ROW]
[ROW][C]0.93[/C][C]1.04143488027886[/C][C]0.0284702831983986[/C][/ROW]
[ROW][C]0.94[/C][C]1.05025607742177[/C][C]0.0244180227562975[/C][/ROW]
[ROW][C]0.95[/C][C]1.05856635735832[/C][C]0.0208471121355059[/C][/ROW]
[ROW][C]0.96[/C][C]1.06649944579725[/C][C]0.0180737933836795[/C][/ROW]
[ROW][C]0.97[/C][C]1.07408739136534[/C][C]0.0158763960456951[/C][/ROW]
[ROW][C]0.98[/C][C]1.08105752865476[/C][C]0.0136312950664927[/C][/ROW]
[ROW][C]0.99[/C][C]1.08668819111101[/C][C]0.0112982850491372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13133&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
0.010.7020418909046060.00803777927794163
0.020.7048420357173740.00583073712882382
0.030.7075408363313130.00429744169162194
0.040.7098165188947280.00393088288430406
0.050.7117412224077620.00432339680275492
0.060.7134868933598490.00482601760784626
0.070.7151665145913680.00514099045679616
0.080.7168151148965920.00525172039438819
0.090.7184277928852430.00526871592109609
0.10.7199954555281830.00531100620120469
0.110.7215196404365770.00543494218078105
0.120.7230109308014840.00562399510738474
0.130.7244812179218460.00582567025491793
0.140.7259371988961930.0059894234686684
0.150.7273778356988050.00608445341938282
0.160.7287952488543280.00610049035619514
0.170.7301773105650760.00603698143627667
0.180.7315104271843580.00589860666141795
0.190.7327817674699690.00569218556220399
0.20.7339808515301850.00542586191378982
0.210.7351007062716330.00511350584711864
0.220.7361387613873840.00477724360098658
0.230.7370974862532320.00444678863572534
0.240.7379846246607520.00415901022176327
0.250.7388128602816590.00395022976889049
0.260.7395988404188010.00385079573861176
0.270.7403616414286440.00387568804115788
0.280.7411209047499610.00402063592049703
0.290.741894954672970.00426417022873564
0.30.7426992072716980.00457600613881258
0.310.7435451043918630.0049241713461076
0.320.7444396868756130.00528025239790683
0.330.7453857930320380.00562241726759359
0.340.7463827624225960.00593608251781776
0.350.747427460365210.00621542020975216
0.360.7485154205842060.00646011169812193
0.370.7496419257085680.0066766745514222
0.380.7508028937586550.00687243164728546
0.390.7519954968010950.00705898682840396
0.40.753218491352970.00724674682260431
0.410.7544722802230590.0074440587268324
0.420.7557587502622660.00766024412913699
0.430.7570809433452660.0079006926557423
0.440.7584426247785780.00816848002715142
0.450.7598478194025120.00846289495518684
0.460.7613003927092350.0087803175734364
0.470.7628037598000790.00911326600549284
0.480.7643608031621740.00945577309437405
0.490.7659740646489110.00980122204849552
0.50.7676462438736980.0101481673358436
0.510.7693809857714950.0105009824864118
0.520.7711838816471590.0108744052350772
0.530.7730635526628480.0112903811311518
0.540.7750326461093490.0117814934207170
0.550.7771085642427850.0123827245025072
0.560.7793137681264080.0131308207115756
0.570.7816755517689530.0140557271993591
0.580.7842252539888060.0151792791882830
0.590.7869969509156940.0165083790764391
0.60.7900257345420550.0180346652582540
0.610.793345720609280.0197404716061171
0.620.7969879392094830.0215954753161676
0.630.8009782502567940.0235573280780653
0.640.8053354071936630.0255784484433348
0.650.8100693816940180.0276027652319977
0.660.815180070648370.0295690278337796
0.670.8206565345926320.0314122012779759
0.680.8264769509043160.0330665966987557
0.690.832609481570.034472098918267
0.70.8390142266816780.0355803380406635
0.710.845646340665020.0363625381975443
0.720.8524602254400140.03681501887876
0.730.8594145032006450.0369672313099478
0.740.8664772528360310.0368814777852023
0.750.8736308221082280.0366492120579717
0.760.8808754541199990.0363824008041870
0.770.8882310251451770.0362014107768350
0.780.8957363864989920.0362145187953849
0.790.9034461085990810.0365008125908419
0.80.9114247864160320.0370964820702877
0.810.9197394121865790.0379823214541923
0.820.9284505831698430.0390881958129315
0.830.937603435855490.0402984939461985
0.840.9472191653611180.0414670518182186
0.850.9572878348370740.0424324995954066
0.860.9677630028292350.0430318711480483
0.870.9785586499996750.0431130269572996
0.880.9895491369538240.0425425366555857
0.891.000573557116660.0412167718150725
0.91.011446694735060.0390769269599048
0.911.021979197886840.0361356735893236
0.921.032008209843400.0325133157952232
0.931.041434880278860.0284702831983986
0.941.050256077421770.0244180227562975
0.951.058566357358320.0208471121355059
0.961.066499445797250.0180737933836795
0.971.074087391365340.0158763960456951
0.981.081057528654760.0136312950664927
0.991.086688191111010.0112982850491372


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')