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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Oct 2008 10:05:46 -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/25/t1224953118l1j753jhosc7caj.htm/, Retrieved Sun, 19 May 2024 00:54:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18779, Retrieved Sun, 19 May 2024 00:54:17 +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)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD    [Harrell-Davis Quantiles] [vraag 3: Q8 ] [2008-10-25 16:05:46] [00a0a665d7a07edd2e460056b0c0c354] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,008268734
1,044398907
1,049725383
1,095125321
1,075439817
0,95363123
0,969179069
0,994091035
0,974662627
1,080101948
1,087587822
1,048460105
1,044095599
1,094185013
1,088566169
1,181301327
1,153788767
1,015977145
0,992014197
1,018994519
1,017077977
1,101430785
1,078896552
1,056001411
1,052057686
1,078972775
1,100610998
1,171171171
1,117453929
0,975495308
1,007174018
0,963777863
0,835514458
0,908574499
0,801022326
0,78187776
0,938598623
0,95568104
1,033661315
1,026250663
0,920331876
0,881018065
0,944640754
0,887705547
0,986675895
1,008033792
0,933228867
0,924274709
0,984704112
0,988828766
0,980660417
1,008750564
0,986830317
0,959172991
0,918272662
0,937563884
0,894713925
0,962158658
0,922627614
0,948659067
0,95782644

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18779&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18779&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18779&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7887508060900450.0227219584272904
0.020.800815101865020.0295197372607792
0.030.8159701254475490.0352722699680544
0.040.8320918432221240.037484723142623
0.050.8475934496975210.0361732909521372
0.060.86151317513830.0326415771812478
0.070.8734426247667250.0283645922957654
0.080.8833848620768430.0243941917962428
0.090.8915836979299580.0211913846902822
0.10.898371515372770.0187577653115591
0.110.904068341681850.0168936050688753
0.120.9089365029517720.0154076060806914
0.130.913174912364290.0141989313291879
0.140.916931981759560.0132454645212874
0.150.9203214379688550.0125471867643039
0.160.9234335527880890.0120935269565897
0.170.9263406802704340.0118443073431604
0.180.9290991087346660.0117389056997781
0.190.9317497257657180.0117110567725445
0.20.9343191581585180.0117031919315148
0.210.9368219589172940.0116759864888028
0.220.9392636376229590.0116057476377374
0.230.9416440009428830.0114842177143514
0.240.9439602776374480.0113153013184488
0.250.9462096715283720.011111704285784
0.260.9483911771500930.0108923318749506
0.270.9505066360346470.0106789969588339
0.280.95256109483960.0104932615102655
0.290.9545625684123250.0103548063399288
0.30.956521335076120.0102779746465093
0.310.958448912109980.0102667782365069
0.320.9603568780331140.0103203466936686
0.330.9622557178606650.0104251654890286
0.340.9641538592081170.0105640622158968
0.350.9660570360665580.0107168786312668
0.360.9679680647472280.0108623827978227
0.370.96988705042150.0109846022674248
0.380.971811974064030.0110728366146274
0.390.9737395503435570.0111239326410333
0.40.9756662070810470.0111392607207492
0.410.9775890226389870.0111316914408988
0.420.979506470908610.0111121261714603
0.430.9814188618562820.0110994098329980
0.440.9833284223750970.0111085308409333
0.450.9852390279551750.0111496109609251
0.460.9871556592057970.0112290352186309
0.470.9890837072066840.0113455097512725
0.480.9910282784817280.0114913425233365
0.490.9929936481710640.0116550546318913
0.50.994982977955780.0118251654922753
0.510.996998358498240.0119894185435429
0.520.9990411649665350.0121437703925797
0.531.001112642623710.0122877936230036
0.541.003214582475200.0124280563407600
0.551.005349917470070.0125782375907223
0.561.007523075690330.0127536013068908
0.571.009739969409140.0129674838591213
0.581.012007571441880.0132307812914042
0.591.014333119813030.0135431826574180
0.61.016723080868250.0138951209817418
0.611.019182070556710.0142715061762162
0.621.021711966669790.0146462890845427
0.631.024311429770540.0149921692851262
0.641.026975984215560.0152832041940262
0.651.029698700306090.0155034113611783
0.661.032471382351170.0156447017475874
0.671.035286032715160.0157119916209396
0.681.038136261344700.0157241257637196
0.691.041018274964040.0157060985982793
0.71.043931131476030.0156851521987446
0.711.046876086480610.0156853518169006
0.721.049855069941490.0157139659512563
0.731.052868567692640.0157600478729544
0.741.055913383740620.0157936881929158
0.751.058980862238950.0157731551957735
0.761.062056107252010.0156522030423829
0.771.065118545244230.0153908377703912
0.781.068143868687480.0149668685410445
0.791.071107063321480.0143819631102888
0.81.073985966182220.0136621461370479
0.811.076764729825250.0128524410121594
0.821.079436741170650.0120109506698869
0.831.082006951445800.0111983826345691
0.841.084494123482580.0104702455543536
0.851.086934018416180.00988007816803056
0.861.089384775131650.0094868894380914
0.871.091935367803980.00937484236461814
0.881.094716715226720.00967686787681971
0.891.097912508602490.0105754319453549
0.91.101763261796820.0122636971945555
0.911.106553506118390.0148491082465443
0.921.112570889433980.0182347312768951
0.931.120030892404740.0220145740141214
0.941.128974978439020.0254225268581596
0.951.139171076166190.0274152074386495
0.961.150060582420010.0269754073261075
0.971.160784563052210.0236405024125447
0.981.170279656832080.0181278542275966
0.991.177420299484630.0126955029227247

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.788750806090045 & 0.0227219584272904 \tabularnewline
0.02 & 0.80081510186502 & 0.0295197372607792 \tabularnewline
0.03 & 0.815970125447549 & 0.0352722699680544 \tabularnewline
0.04 & 0.832091843222124 & 0.037484723142623 \tabularnewline
0.05 & 0.847593449697521 & 0.0361732909521372 \tabularnewline
0.06 & 0.8615131751383 & 0.0326415771812478 \tabularnewline
0.07 & 0.873442624766725 & 0.0283645922957654 \tabularnewline
0.08 & 0.883384862076843 & 0.0243941917962428 \tabularnewline
0.09 & 0.891583697929958 & 0.0211913846902822 \tabularnewline
0.1 & 0.89837151537277 & 0.0187577653115591 \tabularnewline
0.11 & 0.90406834168185 & 0.0168936050688753 \tabularnewline
0.12 & 0.908936502951772 & 0.0154076060806914 \tabularnewline
0.13 & 0.91317491236429 & 0.0141989313291879 \tabularnewline
0.14 & 0.91693198175956 & 0.0132454645212874 \tabularnewline
0.15 & 0.920321437968855 & 0.0125471867643039 \tabularnewline
0.16 & 0.923433552788089 & 0.0120935269565897 \tabularnewline
0.17 & 0.926340680270434 & 0.0118443073431604 \tabularnewline
0.18 & 0.929099108734666 & 0.0117389056997781 \tabularnewline
0.19 & 0.931749725765718 & 0.0117110567725445 \tabularnewline
0.2 & 0.934319158158518 & 0.0117031919315148 \tabularnewline
0.21 & 0.936821958917294 & 0.0116759864888028 \tabularnewline
0.22 & 0.939263637622959 & 0.0116057476377374 \tabularnewline
0.23 & 0.941644000942883 & 0.0114842177143514 \tabularnewline
0.24 & 0.943960277637448 & 0.0113153013184488 \tabularnewline
0.25 & 0.946209671528372 & 0.011111704285784 \tabularnewline
0.26 & 0.948391177150093 & 0.0108923318749506 \tabularnewline
0.27 & 0.950506636034647 & 0.0106789969588339 \tabularnewline
0.28 & 0.9525610948396 & 0.0104932615102655 \tabularnewline
0.29 & 0.954562568412325 & 0.0103548063399288 \tabularnewline
0.3 & 0.95652133507612 & 0.0102779746465093 \tabularnewline
0.31 & 0.95844891210998 & 0.0102667782365069 \tabularnewline
0.32 & 0.960356878033114 & 0.0103203466936686 \tabularnewline
0.33 & 0.962255717860665 & 0.0104251654890286 \tabularnewline
0.34 & 0.964153859208117 & 0.0105640622158968 \tabularnewline
0.35 & 0.966057036066558 & 0.0107168786312668 \tabularnewline
0.36 & 0.967968064747228 & 0.0108623827978227 \tabularnewline
0.37 & 0.9698870504215 & 0.0109846022674248 \tabularnewline
0.38 & 0.97181197406403 & 0.0110728366146274 \tabularnewline
0.39 & 0.973739550343557 & 0.0111239326410333 \tabularnewline
0.4 & 0.975666207081047 & 0.0111392607207492 \tabularnewline
0.41 & 0.977589022638987 & 0.0111316914408988 \tabularnewline
0.42 & 0.97950647090861 & 0.0111121261714603 \tabularnewline
0.43 & 0.981418861856282 & 0.0110994098329980 \tabularnewline
0.44 & 0.983328422375097 & 0.0111085308409333 \tabularnewline
0.45 & 0.985239027955175 & 0.0111496109609251 \tabularnewline
0.46 & 0.987155659205797 & 0.0112290352186309 \tabularnewline
0.47 & 0.989083707206684 & 0.0113455097512725 \tabularnewline
0.48 & 0.991028278481728 & 0.0114913425233365 \tabularnewline
0.49 & 0.992993648171064 & 0.0116550546318913 \tabularnewline
0.5 & 0.99498297795578 & 0.0118251654922753 \tabularnewline
0.51 & 0.99699835849824 & 0.0119894185435429 \tabularnewline
0.52 & 0.999041164966535 & 0.0121437703925797 \tabularnewline
0.53 & 1.00111264262371 & 0.0122877936230036 \tabularnewline
0.54 & 1.00321458247520 & 0.0124280563407600 \tabularnewline
0.55 & 1.00534991747007 & 0.0125782375907223 \tabularnewline
0.56 & 1.00752307569033 & 0.0127536013068908 \tabularnewline
0.57 & 1.00973996940914 & 0.0129674838591213 \tabularnewline
0.58 & 1.01200757144188 & 0.0132307812914042 \tabularnewline
0.59 & 1.01433311981303 & 0.0135431826574180 \tabularnewline
0.6 & 1.01672308086825 & 0.0138951209817418 \tabularnewline
0.61 & 1.01918207055671 & 0.0142715061762162 \tabularnewline
0.62 & 1.02171196666979 & 0.0146462890845427 \tabularnewline
0.63 & 1.02431142977054 & 0.0149921692851262 \tabularnewline
0.64 & 1.02697598421556 & 0.0152832041940262 \tabularnewline
0.65 & 1.02969870030609 & 0.0155034113611783 \tabularnewline
0.66 & 1.03247138235117 & 0.0156447017475874 \tabularnewline
0.67 & 1.03528603271516 & 0.0157119916209396 \tabularnewline
0.68 & 1.03813626134470 & 0.0157241257637196 \tabularnewline
0.69 & 1.04101827496404 & 0.0157060985982793 \tabularnewline
0.7 & 1.04393113147603 & 0.0156851521987446 \tabularnewline
0.71 & 1.04687608648061 & 0.0156853518169006 \tabularnewline
0.72 & 1.04985506994149 & 0.0157139659512563 \tabularnewline
0.73 & 1.05286856769264 & 0.0157600478729544 \tabularnewline
0.74 & 1.05591338374062 & 0.0157936881929158 \tabularnewline
0.75 & 1.05898086223895 & 0.0157731551957735 \tabularnewline
0.76 & 1.06205610725201 & 0.0156522030423829 \tabularnewline
0.77 & 1.06511854524423 & 0.0153908377703912 \tabularnewline
0.78 & 1.06814386868748 & 0.0149668685410445 \tabularnewline
0.79 & 1.07110706332148 & 0.0143819631102888 \tabularnewline
0.8 & 1.07398596618222 & 0.0136621461370479 \tabularnewline
0.81 & 1.07676472982525 & 0.0128524410121594 \tabularnewline
0.82 & 1.07943674117065 & 0.0120109506698869 \tabularnewline
0.83 & 1.08200695144580 & 0.0111983826345691 \tabularnewline
0.84 & 1.08449412348258 & 0.0104702455543536 \tabularnewline
0.85 & 1.08693401841618 & 0.00988007816803056 \tabularnewline
0.86 & 1.08938477513165 & 0.0094868894380914 \tabularnewline
0.87 & 1.09193536780398 & 0.00937484236461814 \tabularnewline
0.88 & 1.09471671522672 & 0.00967686787681971 \tabularnewline
0.89 & 1.09791250860249 & 0.0105754319453549 \tabularnewline
0.9 & 1.10176326179682 & 0.0122636971945555 \tabularnewline
0.91 & 1.10655350611839 & 0.0148491082465443 \tabularnewline
0.92 & 1.11257088943398 & 0.0182347312768951 \tabularnewline
0.93 & 1.12003089240474 & 0.0220145740141214 \tabularnewline
0.94 & 1.12897497843902 & 0.0254225268581596 \tabularnewline
0.95 & 1.13917107616619 & 0.0274152074386495 \tabularnewline
0.96 & 1.15006058242001 & 0.0269754073261075 \tabularnewline
0.97 & 1.16078456305221 & 0.0236405024125447 \tabularnewline
0.98 & 1.17027965683208 & 0.0181278542275966 \tabularnewline
0.99 & 1.17742029948463 & 0.0126955029227247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18779&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]0.788750806090045[/C][C]0.0227219584272904[/C][/ROW]
[ROW][C]0.02[/C][C]0.80081510186502[/C][C]0.0295197372607792[/C][/ROW]
[ROW][C]0.03[/C][C]0.815970125447549[/C][C]0.0352722699680544[/C][/ROW]
[ROW][C]0.04[/C][C]0.832091843222124[/C][C]0.037484723142623[/C][/ROW]
[ROW][C]0.05[/C][C]0.847593449697521[/C][C]0.0361732909521372[/C][/ROW]
[ROW][C]0.06[/C][C]0.8615131751383[/C][C]0.0326415771812478[/C][/ROW]
[ROW][C]0.07[/C][C]0.873442624766725[/C][C]0.0283645922957654[/C][/ROW]
[ROW][C]0.08[/C][C]0.883384862076843[/C][C]0.0243941917962428[/C][/ROW]
[ROW][C]0.09[/C][C]0.891583697929958[/C][C]0.0211913846902822[/C][/ROW]
[ROW][C]0.1[/C][C]0.89837151537277[/C][C]0.0187577653115591[/C][/ROW]
[ROW][C]0.11[/C][C]0.90406834168185[/C][C]0.0168936050688753[/C][/ROW]
[ROW][C]0.12[/C][C]0.908936502951772[/C][C]0.0154076060806914[/C][/ROW]
[ROW][C]0.13[/C][C]0.91317491236429[/C][C]0.0141989313291879[/C][/ROW]
[ROW][C]0.14[/C][C]0.91693198175956[/C][C]0.0132454645212874[/C][/ROW]
[ROW][C]0.15[/C][C]0.920321437968855[/C][C]0.0125471867643039[/C][/ROW]
[ROW][C]0.16[/C][C]0.923433552788089[/C][C]0.0120935269565897[/C][/ROW]
[ROW][C]0.17[/C][C]0.926340680270434[/C][C]0.0118443073431604[/C][/ROW]
[ROW][C]0.18[/C][C]0.929099108734666[/C][C]0.0117389056997781[/C][/ROW]
[ROW][C]0.19[/C][C]0.931749725765718[/C][C]0.0117110567725445[/C][/ROW]
[ROW][C]0.2[/C][C]0.934319158158518[/C][C]0.0117031919315148[/C][/ROW]
[ROW][C]0.21[/C][C]0.936821958917294[/C][C]0.0116759864888028[/C][/ROW]
[ROW][C]0.22[/C][C]0.939263637622959[/C][C]0.0116057476377374[/C][/ROW]
[ROW][C]0.23[/C][C]0.941644000942883[/C][C]0.0114842177143514[/C][/ROW]
[ROW][C]0.24[/C][C]0.943960277637448[/C][C]0.0113153013184488[/C][/ROW]
[ROW][C]0.25[/C][C]0.946209671528372[/C][C]0.011111704285784[/C][/ROW]
[ROW][C]0.26[/C][C]0.948391177150093[/C][C]0.0108923318749506[/C][/ROW]
[ROW][C]0.27[/C][C]0.950506636034647[/C][C]0.0106789969588339[/C][/ROW]
[ROW][C]0.28[/C][C]0.9525610948396[/C][C]0.0104932615102655[/C][/ROW]
[ROW][C]0.29[/C][C]0.954562568412325[/C][C]0.0103548063399288[/C][/ROW]
[ROW][C]0.3[/C][C]0.95652133507612[/C][C]0.0102779746465093[/C][/ROW]
[ROW][C]0.31[/C][C]0.95844891210998[/C][C]0.0102667782365069[/C][/ROW]
[ROW][C]0.32[/C][C]0.960356878033114[/C][C]0.0103203466936686[/C][/ROW]
[ROW][C]0.33[/C][C]0.962255717860665[/C][C]0.0104251654890286[/C][/ROW]
[ROW][C]0.34[/C][C]0.964153859208117[/C][C]0.0105640622158968[/C][/ROW]
[ROW][C]0.35[/C][C]0.966057036066558[/C][C]0.0107168786312668[/C][/ROW]
[ROW][C]0.36[/C][C]0.967968064747228[/C][C]0.0108623827978227[/C][/ROW]
[ROW][C]0.37[/C][C]0.9698870504215[/C][C]0.0109846022674248[/C][/ROW]
[ROW][C]0.38[/C][C]0.97181197406403[/C][C]0.0110728366146274[/C][/ROW]
[ROW][C]0.39[/C][C]0.973739550343557[/C][C]0.0111239326410333[/C][/ROW]
[ROW][C]0.4[/C][C]0.975666207081047[/C][C]0.0111392607207492[/C][/ROW]
[ROW][C]0.41[/C][C]0.977589022638987[/C][C]0.0111316914408988[/C][/ROW]
[ROW][C]0.42[/C][C]0.97950647090861[/C][C]0.0111121261714603[/C][/ROW]
[ROW][C]0.43[/C][C]0.981418861856282[/C][C]0.0110994098329980[/C][/ROW]
[ROW][C]0.44[/C][C]0.983328422375097[/C][C]0.0111085308409333[/C][/ROW]
[ROW][C]0.45[/C][C]0.985239027955175[/C][C]0.0111496109609251[/C][/ROW]
[ROW][C]0.46[/C][C]0.987155659205797[/C][C]0.0112290352186309[/C][/ROW]
[ROW][C]0.47[/C][C]0.989083707206684[/C][C]0.0113455097512725[/C][/ROW]
[ROW][C]0.48[/C][C]0.991028278481728[/C][C]0.0114913425233365[/C][/ROW]
[ROW][C]0.49[/C][C]0.992993648171064[/C][C]0.0116550546318913[/C][/ROW]
[ROW][C]0.5[/C][C]0.99498297795578[/C][C]0.0118251654922753[/C][/ROW]
[ROW][C]0.51[/C][C]0.99699835849824[/C][C]0.0119894185435429[/C][/ROW]
[ROW][C]0.52[/C][C]0.999041164966535[/C][C]0.0121437703925797[/C][/ROW]
[ROW][C]0.53[/C][C]1.00111264262371[/C][C]0.0122877936230036[/C][/ROW]
[ROW][C]0.54[/C][C]1.00321458247520[/C][C]0.0124280563407600[/C][/ROW]
[ROW][C]0.55[/C][C]1.00534991747007[/C][C]0.0125782375907223[/C][/ROW]
[ROW][C]0.56[/C][C]1.00752307569033[/C][C]0.0127536013068908[/C][/ROW]
[ROW][C]0.57[/C][C]1.00973996940914[/C][C]0.0129674838591213[/C][/ROW]
[ROW][C]0.58[/C][C]1.01200757144188[/C][C]0.0132307812914042[/C][/ROW]
[ROW][C]0.59[/C][C]1.01433311981303[/C][C]0.0135431826574180[/C][/ROW]
[ROW][C]0.6[/C][C]1.01672308086825[/C][C]0.0138951209817418[/C][/ROW]
[ROW][C]0.61[/C][C]1.01918207055671[/C][C]0.0142715061762162[/C][/ROW]
[ROW][C]0.62[/C][C]1.02171196666979[/C][C]0.0146462890845427[/C][/ROW]
[ROW][C]0.63[/C][C]1.02431142977054[/C][C]0.0149921692851262[/C][/ROW]
[ROW][C]0.64[/C][C]1.02697598421556[/C][C]0.0152832041940262[/C][/ROW]
[ROW][C]0.65[/C][C]1.02969870030609[/C][C]0.0155034113611783[/C][/ROW]
[ROW][C]0.66[/C][C]1.03247138235117[/C][C]0.0156447017475874[/C][/ROW]
[ROW][C]0.67[/C][C]1.03528603271516[/C][C]0.0157119916209396[/C][/ROW]
[ROW][C]0.68[/C][C]1.03813626134470[/C][C]0.0157241257637196[/C][/ROW]
[ROW][C]0.69[/C][C]1.04101827496404[/C][C]0.0157060985982793[/C][/ROW]
[ROW][C]0.7[/C][C]1.04393113147603[/C][C]0.0156851521987446[/C][/ROW]
[ROW][C]0.71[/C][C]1.04687608648061[/C][C]0.0156853518169006[/C][/ROW]
[ROW][C]0.72[/C][C]1.04985506994149[/C][C]0.0157139659512563[/C][/ROW]
[ROW][C]0.73[/C][C]1.05286856769264[/C][C]0.0157600478729544[/C][/ROW]
[ROW][C]0.74[/C][C]1.05591338374062[/C][C]0.0157936881929158[/C][/ROW]
[ROW][C]0.75[/C][C]1.05898086223895[/C][C]0.0157731551957735[/C][/ROW]
[ROW][C]0.76[/C][C]1.06205610725201[/C][C]0.0156522030423829[/C][/ROW]
[ROW][C]0.77[/C][C]1.06511854524423[/C][C]0.0153908377703912[/C][/ROW]
[ROW][C]0.78[/C][C]1.06814386868748[/C][C]0.0149668685410445[/C][/ROW]
[ROW][C]0.79[/C][C]1.07110706332148[/C][C]0.0143819631102888[/C][/ROW]
[ROW][C]0.8[/C][C]1.07398596618222[/C][C]0.0136621461370479[/C][/ROW]
[ROW][C]0.81[/C][C]1.07676472982525[/C][C]0.0128524410121594[/C][/ROW]
[ROW][C]0.82[/C][C]1.07943674117065[/C][C]0.0120109506698869[/C][/ROW]
[ROW][C]0.83[/C][C]1.08200695144580[/C][C]0.0111983826345691[/C][/ROW]
[ROW][C]0.84[/C][C]1.08449412348258[/C][C]0.0104702455543536[/C][/ROW]
[ROW][C]0.85[/C][C]1.08693401841618[/C][C]0.00988007816803056[/C][/ROW]
[ROW][C]0.86[/C][C]1.08938477513165[/C][C]0.0094868894380914[/C][/ROW]
[ROW][C]0.87[/C][C]1.09193536780398[/C][C]0.00937484236461814[/C][/ROW]
[ROW][C]0.88[/C][C]1.09471671522672[/C][C]0.00967686787681971[/C][/ROW]
[ROW][C]0.89[/C][C]1.09791250860249[/C][C]0.0105754319453549[/C][/ROW]
[ROW][C]0.9[/C][C]1.10176326179682[/C][C]0.0122636971945555[/C][/ROW]
[ROW][C]0.91[/C][C]1.10655350611839[/C][C]0.0148491082465443[/C][/ROW]
[ROW][C]0.92[/C][C]1.11257088943398[/C][C]0.0182347312768951[/C][/ROW]
[ROW][C]0.93[/C][C]1.12003089240474[/C][C]0.0220145740141214[/C][/ROW]
[ROW][C]0.94[/C][C]1.12897497843902[/C][C]0.0254225268581596[/C][/ROW]
[ROW][C]0.95[/C][C]1.13917107616619[/C][C]0.0274152074386495[/C][/ROW]
[ROW][C]0.96[/C][C]1.15006058242001[/C][C]0.0269754073261075[/C][/ROW]
[ROW][C]0.97[/C][C]1.16078456305221[/C][C]0.0236405024125447[/C][/ROW]
[ROW][C]0.98[/C][C]1.17027965683208[/C][C]0.0181278542275966[/C][/ROW]
[ROW][C]0.99[/C][C]1.17742029948463[/C][C]0.0126955029227247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18779&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18779&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
0.010.7887508060900450.0227219584272904
0.020.800815101865020.0295197372607792
0.030.8159701254475490.0352722699680544
0.040.8320918432221240.037484723142623
0.050.8475934496975210.0361732909521372
0.060.86151317513830.0326415771812478
0.070.8734426247667250.0283645922957654
0.080.8833848620768430.0243941917962428
0.090.8915836979299580.0211913846902822
0.10.898371515372770.0187577653115591
0.110.904068341681850.0168936050688753
0.120.9089365029517720.0154076060806914
0.130.913174912364290.0141989313291879
0.140.916931981759560.0132454645212874
0.150.9203214379688550.0125471867643039
0.160.9234335527880890.0120935269565897
0.170.9263406802704340.0118443073431604
0.180.9290991087346660.0117389056997781
0.190.9317497257657180.0117110567725445
0.20.9343191581585180.0117031919315148
0.210.9368219589172940.0116759864888028
0.220.9392636376229590.0116057476377374
0.230.9416440009428830.0114842177143514
0.240.9439602776374480.0113153013184488
0.250.9462096715283720.011111704285784
0.260.9483911771500930.0108923318749506
0.270.9505066360346470.0106789969588339
0.280.95256109483960.0104932615102655
0.290.9545625684123250.0103548063399288
0.30.956521335076120.0102779746465093
0.310.958448912109980.0102667782365069
0.320.9603568780331140.0103203466936686
0.330.9622557178606650.0104251654890286
0.340.9641538592081170.0105640622158968
0.350.9660570360665580.0107168786312668
0.360.9679680647472280.0108623827978227
0.370.96988705042150.0109846022674248
0.380.971811974064030.0110728366146274
0.390.9737395503435570.0111239326410333
0.40.9756662070810470.0111392607207492
0.410.9775890226389870.0111316914408988
0.420.979506470908610.0111121261714603
0.430.9814188618562820.0110994098329980
0.440.9833284223750970.0111085308409333
0.450.9852390279551750.0111496109609251
0.460.9871556592057970.0112290352186309
0.470.9890837072066840.0113455097512725
0.480.9910282784817280.0114913425233365
0.490.9929936481710640.0116550546318913
0.50.994982977955780.0118251654922753
0.510.996998358498240.0119894185435429
0.520.9990411649665350.0121437703925797
0.531.001112642623710.0122877936230036
0.541.003214582475200.0124280563407600
0.551.005349917470070.0125782375907223
0.561.007523075690330.0127536013068908
0.571.009739969409140.0129674838591213
0.581.012007571441880.0132307812914042
0.591.014333119813030.0135431826574180
0.61.016723080868250.0138951209817418
0.611.019182070556710.0142715061762162
0.621.021711966669790.0146462890845427
0.631.024311429770540.0149921692851262
0.641.026975984215560.0152832041940262
0.651.029698700306090.0155034113611783
0.661.032471382351170.0156447017475874
0.671.035286032715160.0157119916209396
0.681.038136261344700.0157241257637196
0.691.041018274964040.0157060985982793
0.71.043931131476030.0156851521987446
0.711.046876086480610.0156853518169006
0.721.049855069941490.0157139659512563
0.731.052868567692640.0157600478729544
0.741.055913383740620.0157936881929158
0.751.058980862238950.0157731551957735
0.761.062056107252010.0156522030423829
0.771.065118545244230.0153908377703912
0.781.068143868687480.0149668685410445
0.791.071107063321480.0143819631102888
0.81.073985966182220.0136621461370479
0.811.076764729825250.0128524410121594
0.821.079436741170650.0120109506698869
0.831.082006951445800.0111983826345691
0.841.084494123482580.0104702455543536
0.851.086934018416180.00988007816803056
0.861.089384775131650.0094868894380914
0.871.091935367803980.00937484236461814
0.881.094716715226720.00967686787681971
0.891.097912508602490.0105754319453549
0.91.101763261796820.0122636971945555
0.911.106553506118390.0148491082465443
0.921.112570889433980.0182347312768951
0.931.120030892404740.0220145740141214
0.941.128974978439020.0254225268581596
0.951.139171076166190.0274152074386495
0.961.150060582420010.0269754073261075
0.971.160784563052210.0236405024125447
0.981.170279656832080.0181278542275966
0.991.177420299484630.0126955029227247


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')