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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 computationThu, 02 Oct 2014 13:54:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/02/t1412254476oi1o1yaciqxs62s.htm/, Retrieved Sat, 11 May 2024 13:55:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237982, Retrieved Sat, 11 May 2024 13:55:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact47

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] [] [2014-10-02 12:54:12] [dfd11b28041a8e54be4091fbe3743b64] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
376
376
377
380
380
381
385
385
386
386
385
384
382
379
376
375
370
367
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359
355
350
349
351
351
352
352
354
355
356
354
349
350
349
350
352
370
370
371
372
373
373
375
381
383
386
390
394
397
401
403
405
407
406
406
407
406
404
405
404
402
401
401
398
401
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390
391
390
387

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237982&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237982&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01349.0265464215580.0903426101149109
0.02349.1068796735410.25770082101243
0.03349.2540387600230.432742258351747
0.04349.4594708108810.559632660391377
0.05349.7031416899020.638364662121534
0.06349.9674731697740.703167165048257
0.07350.2442886780450.783468356970199
0.08350.5337046518470.884994439497004
0.09350.8397774725031.00223775218846
0.1351.1672591492911.13240147043998
0.11351.5207582654531.28022134337488
0.12351.9054405926251.45592474734328
0.13352.3279855160591.67072232396133
0.14352.7970452135941.93462912241829
0.15353.3230295004992.25618449185203
0.16353.9173017478032.63947551831252
0.17354.5909009181333.08067514955247
0.18355.3529001397413.56673509865777
0.19356.2085818972684.07417481262846
0.2357.1577332813764.56931297679031
0.21358.1934524609275.01460471867031
0.22359.3018307320075.37286259891697
0.23360.4627141336315.61462170874225
0.24361.651501141665.72259637734652
0.25362.8416824327565.6928086701186
0.26364.0076569755845.53810847844802
0.27365.127313646565.28152802492584
0.28366.1839508067374.95498529203086
0.29367.1672804154414.59301035735548
0.3368.0734710950864.22793856445103
0.31368.9043703172483.8876199446283
0.32369.666170650473.59112252394132
0.33370.3678331654123.3468539374645
0.34371.0195584021073.15731440321413
0.35371.6315219819963.01795283749255
0.36372.2129942051942.91934805940901
0.37372.7718657466622.85244261600161
0.38373.3145237211182.80937101843123
0.39373.8459745674592.78370924840772
0.4374.3700948019462.77160863098041
0.41374.8899032676282.770603887477
0.42375.407780032562.77924264981139
0.43375.9255965051972.79603625802793
0.44376.4447580841112.81856716169367
0.45376.9661867992192.84380196352393
0.46377.490282987772.86875487905664
0.47378.0169025147062.8893109720241
0.48378.5453735080462.90259206008627
0.49379.0745602232762.90581204313048
0.5379.6029676625992.89802156346203
0.51380.1288732116812.87876662949004
0.52380.6504719585532.84806782282685
0.53381.1660284796262.80643261261512
0.54381.6740355273722.756200728709
0.55382.1733846758222.69896485903399
0.56382.6635525005892.63807117534381
0.57383.1447979523882.57750525163255
0.58383.6183548094042.52350230499968
0.59384.0865920025822.48283569699221
0.6384.5531089235822.46237754721571
0.61385.0227355341222.47062969132959
0.62385.5014181110662.51347784176478
0.63385.9959874515432.59503188864764
0.64386.5138219213462.71723847843884
0.65387.0624275745562.87721858005138
0.66387.6489589733813.07137973938269
0.67388.2796987697123.29251300628031
0.68388.9595072363773.53169951502491
0.69389.6912525774913.77747046055504
0.7390.4752454248054.01649166230023
0.71391.3087276603134.23243042305036
0.72392.1855002593224.40759904591805
0.73393.095803822594.52431041363378
0.74394.0265721286764.56704711709039
0.75394.9621493505764.52449616110897
0.76395.8854904866784.39210525903935
0.77396.779760186374.17485599955311
0.78397.6301292570963.88624697618016
0.79398.4254722525343.54793171848301
0.8399.1596275110973.18775711628827
0.81399.8319192883072.83450303662324
0.82400.4467690121352.51441954685213
0.83401.0124219605292.24670348886663
0.84401.5390404734682.03823928462924
0.85402.0365961991561.8833260260252
0.86402.5130594359061.76602444310424
0.87402.9732881569331.66637368324422
0.88403.4187781884391.56763237123144
0.89403.8481448928271.4589513222264
0.9404.2580249875521.33696691905047
0.91404.6441623222261.20208469084027
0.92405.0027652211411.05691626496812
0.93405.3324659374070.906267482935222
0.94405.6367208799560.762697862174729
0.95405.9247986960440.650786863813279
0.96406.2075906329690.593982274303953
0.97406.4858500767540.564753333530716
0.98406.7369965862270.467296024009506
0.99406.9182998934330.241541469851121

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 349.026546421558 & 0.0903426101149109 \tabularnewline
0.02 & 349.106879673541 & 0.25770082101243 \tabularnewline
0.03 & 349.254038760023 & 0.432742258351747 \tabularnewline
0.04 & 349.459470810881 & 0.559632660391377 \tabularnewline
0.05 & 349.703141689902 & 0.638364662121534 \tabularnewline
0.06 & 349.967473169774 & 0.703167165048257 \tabularnewline
0.07 & 350.244288678045 & 0.783468356970199 \tabularnewline
0.08 & 350.533704651847 & 0.884994439497004 \tabularnewline
0.09 & 350.839777472503 & 1.00223775218846 \tabularnewline
0.1 & 351.167259149291 & 1.13240147043998 \tabularnewline
0.11 & 351.520758265453 & 1.28022134337488 \tabularnewline
0.12 & 351.905440592625 & 1.45592474734328 \tabularnewline
0.13 & 352.327985516059 & 1.67072232396133 \tabularnewline
0.14 & 352.797045213594 & 1.93462912241829 \tabularnewline
0.15 & 353.323029500499 & 2.25618449185203 \tabularnewline
0.16 & 353.917301747803 & 2.63947551831252 \tabularnewline
0.17 & 354.590900918133 & 3.08067514955247 \tabularnewline
0.18 & 355.352900139741 & 3.56673509865777 \tabularnewline
0.19 & 356.208581897268 & 4.07417481262846 \tabularnewline
0.2 & 357.157733281376 & 4.56931297679031 \tabularnewline
0.21 & 358.193452460927 & 5.01460471867031 \tabularnewline
0.22 & 359.301830732007 & 5.37286259891697 \tabularnewline
0.23 & 360.462714133631 & 5.61462170874225 \tabularnewline
0.24 & 361.65150114166 & 5.72259637734652 \tabularnewline
0.25 & 362.841682432756 & 5.6928086701186 \tabularnewline
0.26 & 364.007656975584 & 5.53810847844802 \tabularnewline
0.27 & 365.12731364656 & 5.28152802492584 \tabularnewline
0.28 & 366.183950806737 & 4.95498529203086 \tabularnewline
0.29 & 367.167280415441 & 4.59301035735548 \tabularnewline
0.3 & 368.073471095086 & 4.22793856445103 \tabularnewline
0.31 & 368.904370317248 & 3.8876199446283 \tabularnewline
0.32 & 369.66617065047 & 3.59112252394132 \tabularnewline
0.33 & 370.367833165412 & 3.3468539374645 \tabularnewline
0.34 & 371.019558402107 & 3.15731440321413 \tabularnewline
0.35 & 371.631521981996 & 3.01795283749255 \tabularnewline
0.36 & 372.212994205194 & 2.91934805940901 \tabularnewline
0.37 & 372.771865746662 & 2.85244261600161 \tabularnewline
0.38 & 373.314523721118 & 2.80937101843123 \tabularnewline
0.39 & 373.845974567459 & 2.78370924840772 \tabularnewline
0.4 & 374.370094801946 & 2.77160863098041 \tabularnewline
0.41 & 374.889903267628 & 2.770603887477 \tabularnewline
0.42 & 375.40778003256 & 2.77924264981139 \tabularnewline
0.43 & 375.925596505197 & 2.79603625802793 \tabularnewline
0.44 & 376.444758084111 & 2.81856716169367 \tabularnewline
0.45 & 376.966186799219 & 2.84380196352393 \tabularnewline
0.46 & 377.49028298777 & 2.86875487905664 \tabularnewline
0.47 & 378.016902514706 & 2.8893109720241 \tabularnewline
0.48 & 378.545373508046 & 2.90259206008627 \tabularnewline
0.49 & 379.074560223276 & 2.90581204313048 \tabularnewline
0.5 & 379.602967662599 & 2.89802156346203 \tabularnewline
0.51 & 380.128873211681 & 2.87876662949004 \tabularnewline
0.52 & 380.650471958553 & 2.84806782282685 \tabularnewline
0.53 & 381.166028479626 & 2.80643261261512 \tabularnewline
0.54 & 381.674035527372 & 2.756200728709 \tabularnewline
0.55 & 382.173384675822 & 2.69896485903399 \tabularnewline
0.56 & 382.663552500589 & 2.63807117534381 \tabularnewline
0.57 & 383.144797952388 & 2.57750525163255 \tabularnewline
0.58 & 383.618354809404 & 2.52350230499968 \tabularnewline
0.59 & 384.086592002582 & 2.48283569699221 \tabularnewline
0.6 & 384.553108923582 & 2.46237754721571 \tabularnewline
0.61 & 385.022735534122 & 2.47062969132959 \tabularnewline
0.62 & 385.501418111066 & 2.51347784176478 \tabularnewline
0.63 & 385.995987451543 & 2.59503188864764 \tabularnewline
0.64 & 386.513821921346 & 2.71723847843884 \tabularnewline
0.65 & 387.062427574556 & 2.87721858005138 \tabularnewline
0.66 & 387.648958973381 & 3.07137973938269 \tabularnewline
0.67 & 388.279698769712 & 3.29251300628031 \tabularnewline
0.68 & 388.959507236377 & 3.53169951502491 \tabularnewline
0.69 & 389.691252577491 & 3.77747046055504 \tabularnewline
0.7 & 390.475245424805 & 4.01649166230023 \tabularnewline
0.71 & 391.308727660313 & 4.23243042305036 \tabularnewline
0.72 & 392.185500259322 & 4.40759904591805 \tabularnewline
0.73 & 393.09580382259 & 4.52431041363378 \tabularnewline
0.74 & 394.026572128676 & 4.56704711709039 \tabularnewline
0.75 & 394.962149350576 & 4.52449616110897 \tabularnewline
0.76 & 395.885490486678 & 4.39210525903935 \tabularnewline
0.77 & 396.77976018637 & 4.17485599955311 \tabularnewline
0.78 & 397.630129257096 & 3.88624697618016 \tabularnewline
0.79 & 398.425472252534 & 3.54793171848301 \tabularnewline
0.8 & 399.159627511097 & 3.18775711628827 \tabularnewline
0.81 & 399.831919288307 & 2.83450303662324 \tabularnewline
0.82 & 400.446769012135 & 2.51441954685213 \tabularnewline
0.83 & 401.012421960529 & 2.24670348886663 \tabularnewline
0.84 & 401.539040473468 & 2.03823928462924 \tabularnewline
0.85 & 402.036596199156 & 1.8833260260252 \tabularnewline
0.86 & 402.513059435906 & 1.76602444310424 \tabularnewline
0.87 & 402.973288156933 & 1.66637368324422 \tabularnewline
0.88 & 403.418778188439 & 1.56763237123144 \tabularnewline
0.89 & 403.848144892827 & 1.4589513222264 \tabularnewline
0.9 & 404.258024987552 & 1.33696691905047 \tabularnewline
0.91 & 404.644162322226 & 1.20208469084027 \tabularnewline
0.92 & 405.002765221141 & 1.05691626496812 \tabularnewline
0.93 & 405.332465937407 & 0.906267482935222 \tabularnewline
0.94 & 405.636720879956 & 0.762697862174729 \tabularnewline
0.95 & 405.924798696044 & 0.650786863813279 \tabularnewline
0.96 & 406.207590632969 & 0.593982274303953 \tabularnewline
0.97 & 406.485850076754 & 0.564753333530716 \tabularnewline
0.98 & 406.736996586227 & 0.467296024009506 \tabularnewline
0.99 & 406.918299893433 & 0.241541469851121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237982&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]349.026546421558[/C][C]0.0903426101149109[/C][/ROW]
[ROW][C]0.02[/C][C]349.106879673541[/C][C]0.25770082101243[/C][/ROW]
[ROW][C]0.03[/C][C]349.254038760023[/C][C]0.432742258351747[/C][/ROW]
[ROW][C]0.04[/C][C]349.459470810881[/C][C]0.559632660391377[/C][/ROW]
[ROW][C]0.05[/C][C]349.703141689902[/C][C]0.638364662121534[/C][/ROW]
[ROW][C]0.06[/C][C]349.967473169774[/C][C]0.703167165048257[/C][/ROW]
[ROW][C]0.07[/C][C]350.244288678045[/C][C]0.783468356970199[/C][/ROW]
[ROW][C]0.08[/C][C]350.533704651847[/C][C]0.884994439497004[/C][/ROW]
[ROW][C]0.09[/C][C]350.839777472503[/C][C]1.00223775218846[/C][/ROW]
[ROW][C]0.1[/C][C]351.167259149291[/C][C]1.13240147043998[/C][/ROW]
[ROW][C]0.11[/C][C]351.520758265453[/C][C]1.28022134337488[/C][/ROW]
[ROW][C]0.12[/C][C]351.905440592625[/C][C]1.45592474734328[/C][/ROW]
[ROW][C]0.13[/C][C]352.327985516059[/C][C]1.67072232396133[/C][/ROW]
[ROW][C]0.14[/C][C]352.797045213594[/C][C]1.93462912241829[/C][/ROW]
[ROW][C]0.15[/C][C]353.323029500499[/C][C]2.25618449185203[/C][/ROW]
[ROW][C]0.16[/C][C]353.917301747803[/C][C]2.63947551831252[/C][/ROW]
[ROW][C]0.17[/C][C]354.590900918133[/C][C]3.08067514955247[/C][/ROW]
[ROW][C]0.18[/C][C]355.352900139741[/C][C]3.56673509865777[/C][/ROW]
[ROW][C]0.19[/C][C]356.208581897268[/C][C]4.07417481262846[/C][/ROW]
[ROW][C]0.2[/C][C]357.157733281376[/C][C]4.56931297679031[/C][/ROW]
[ROW][C]0.21[/C][C]358.193452460927[/C][C]5.01460471867031[/C][/ROW]
[ROW][C]0.22[/C][C]359.301830732007[/C][C]5.37286259891697[/C][/ROW]
[ROW][C]0.23[/C][C]360.462714133631[/C][C]5.61462170874225[/C][/ROW]
[ROW][C]0.24[/C][C]361.65150114166[/C][C]5.72259637734652[/C][/ROW]
[ROW][C]0.25[/C][C]362.841682432756[/C][C]5.6928086701186[/C][/ROW]
[ROW][C]0.26[/C][C]364.007656975584[/C][C]5.53810847844802[/C][/ROW]
[ROW][C]0.27[/C][C]365.12731364656[/C][C]5.28152802492584[/C][/ROW]
[ROW][C]0.28[/C][C]366.183950806737[/C][C]4.95498529203086[/C][/ROW]
[ROW][C]0.29[/C][C]367.167280415441[/C][C]4.59301035735548[/C][/ROW]
[ROW][C]0.3[/C][C]368.073471095086[/C][C]4.22793856445103[/C][/ROW]
[ROW][C]0.31[/C][C]368.904370317248[/C][C]3.8876199446283[/C][/ROW]
[ROW][C]0.32[/C][C]369.66617065047[/C][C]3.59112252394132[/C][/ROW]
[ROW][C]0.33[/C][C]370.367833165412[/C][C]3.3468539374645[/C][/ROW]
[ROW][C]0.34[/C][C]371.019558402107[/C][C]3.15731440321413[/C][/ROW]
[ROW][C]0.35[/C][C]371.631521981996[/C][C]3.01795283749255[/C][/ROW]
[ROW][C]0.36[/C][C]372.212994205194[/C][C]2.91934805940901[/C][/ROW]
[ROW][C]0.37[/C][C]372.771865746662[/C][C]2.85244261600161[/C][/ROW]
[ROW][C]0.38[/C][C]373.314523721118[/C][C]2.80937101843123[/C][/ROW]
[ROW][C]0.39[/C][C]373.845974567459[/C][C]2.78370924840772[/C][/ROW]
[ROW][C]0.4[/C][C]374.370094801946[/C][C]2.77160863098041[/C][/ROW]
[ROW][C]0.41[/C][C]374.889903267628[/C][C]2.770603887477[/C][/ROW]
[ROW][C]0.42[/C][C]375.40778003256[/C][C]2.77924264981139[/C][/ROW]
[ROW][C]0.43[/C][C]375.925596505197[/C][C]2.79603625802793[/C][/ROW]
[ROW][C]0.44[/C][C]376.444758084111[/C][C]2.81856716169367[/C][/ROW]
[ROW][C]0.45[/C][C]376.966186799219[/C][C]2.84380196352393[/C][/ROW]
[ROW][C]0.46[/C][C]377.49028298777[/C][C]2.86875487905664[/C][/ROW]
[ROW][C]0.47[/C][C]378.016902514706[/C][C]2.8893109720241[/C][/ROW]
[ROW][C]0.48[/C][C]378.545373508046[/C][C]2.90259206008627[/C][/ROW]
[ROW][C]0.49[/C][C]379.074560223276[/C][C]2.90581204313048[/C][/ROW]
[ROW][C]0.5[/C][C]379.602967662599[/C][C]2.89802156346203[/C][/ROW]
[ROW][C]0.51[/C][C]380.128873211681[/C][C]2.87876662949004[/C][/ROW]
[ROW][C]0.52[/C][C]380.650471958553[/C][C]2.84806782282685[/C][/ROW]
[ROW][C]0.53[/C][C]381.166028479626[/C][C]2.80643261261512[/C][/ROW]
[ROW][C]0.54[/C][C]381.674035527372[/C][C]2.756200728709[/C][/ROW]
[ROW][C]0.55[/C][C]382.173384675822[/C][C]2.69896485903399[/C][/ROW]
[ROW][C]0.56[/C][C]382.663552500589[/C][C]2.63807117534381[/C][/ROW]
[ROW][C]0.57[/C][C]383.144797952388[/C][C]2.57750525163255[/C][/ROW]
[ROW][C]0.58[/C][C]383.618354809404[/C][C]2.52350230499968[/C][/ROW]
[ROW][C]0.59[/C][C]384.086592002582[/C][C]2.48283569699221[/C][/ROW]
[ROW][C]0.6[/C][C]384.553108923582[/C][C]2.46237754721571[/C][/ROW]
[ROW][C]0.61[/C][C]385.022735534122[/C][C]2.47062969132959[/C][/ROW]
[ROW][C]0.62[/C][C]385.501418111066[/C][C]2.51347784176478[/C][/ROW]
[ROW][C]0.63[/C][C]385.995987451543[/C][C]2.59503188864764[/C][/ROW]
[ROW][C]0.64[/C][C]386.513821921346[/C][C]2.71723847843884[/C][/ROW]
[ROW][C]0.65[/C][C]387.062427574556[/C][C]2.87721858005138[/C][/ROW]
[ROW][C]0.66[/C][C]387.648958973381[/C][C]3.07137973938269[/C][/ROW]
[ROW][C]0.67[/C][C]388.279698769712[/C][C]3.29251300628031[/C][/ROW]
[ROW][C]0.68[/C][C]388.959507236377[/C][C]3.53169951502491[/C][/ROW]
[ROW][C]0.69[/C][C]389.691252577491[/C][C]3.77747046055504[/C][/ROW]
[ROW][C]0.7[/C][C]390.475245424805[/C][C]4.01649166230023[/C][/ROW]
[ROW][C]0.71[/C][C]391.308727660313[/C][C]4.23243042305036[/C][/ROW]
[ROW][C]0.72[/C][C]392.185500259322[/C][C]4.40759904591805[/C][/ROW]
[ROW][C]0.73[/C][C]393.09580382259[/C][C]4.52431041363378[/C][/ROW]
[ROW][C]0.74[/C][C]394.026572128676[/C][C]4.56704711709039[/C][/ROW]
[ROW][C]0.75[/C][C]394.962149350576[/C][C]4.52449616110897[/C][/ROW]
[ROW][C]0.76[/C][C]395.885490486678[/C][C]4.39210525903935[/C][/ROW]
[ROW][C]0.77[/C][C]396.77976018637[/C][C]4.17485599955311[/C][/ROW]
[ROW][C]0.78[/C][C]397.630129257096[/C][C]3.88624697618016[/C][/ROW]
[ROW][C]0.79[/C][C]398.425472252534[/C][C]3.54793171848301[/C][/ROW]
[ROW][C]0.8[/C][C]399.159627511097[/C][C]3.18775711628827[/C][/ROW]
[ROW][C]0.81[/C][C]399.831919288307[/C][C]2.83450303662324[/C][/ROW]
[ROW][C]0.82[/C][C]400.446769012135[/C][C]2.51441954685213[/C][/ROW]
[ROW][C]0.83[/C][C]401.012421960529[/C][C]2.24670348886663[/C][/ROW]
[ROW][C]0.84[/C][C]401.539040473468[/C][C]2.03823928462924[/C][/ROW]
[ROW][C]0.85[/C][C]402.036596199156[/C][C]1.8833260260252[/C][/ROW]
[ROW][C]0.86[/C][C]402.513059435906[/C][C]1.76602444310424[/C][/ROW]
[ROW][C]0.87[/C][C]402.973288156933[/C][C]1.66637368324422[/C][/ROW]
[ROW][C]0.88[/C][C]403.418778188439[/C][C]1.56763237123144[/C][/ROW]
[ROW][C]0.89[/C][C]403.848144892827[/C][C]1.4589513222264[/C][/ROW]
[ROW][C]0.9[/C][C]404.258024987552[/C][C]1.33696691905047[/C][/ROW]
[ROW][C]0.91[/C][C]404.644162322226[/C][C]1.20208469084027[/C][/ROW]
[ROW][C]0.92[/C][C]405.002765221141[/C][C]1.05691626496812[/C][/ROW]
[ROW][C]0.93[/C][C]405.332465937407[/C][C]0.906267482935222[/C][/ROW]
[ROW][C]0.94[/C][C]405.636720879956[/C][C]0.762697862174729[/C][/ROW]
[ROW][C]0.95[/C][C]405.924798696044[/C][C]0.650786863813279[/C][/ROW]
[ROW][C]0.96[/C][C]406.207590632969[/C][C]0.593982274303953[/C][/ROW]
[ROW][C]0.97[/C][C]406.485850076754[/C][C]0.564753333530716[/C][/ROW]
[ROW][C]0.98[/C][C]406.736996586227[/C][C]0.467296024009506[/C][/ROW]
[ROW][C]0.99[/C][C]406.918299893433[/C][C]0.241541469851121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237982&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
0.01349.0265464215580.0903426101149109
0.02349.1068796735410.25770082101243
0.03349.2540387600230.432742258351747
0.04349.4594708108810.559632660391377
0.05349.7031416899020.638364662121534
0.06349.9674731697740.703167165048257
0.07350.2442886780450.783468356970199
0.08350.5337046518470.884994439497004
0.09350.8397774725031.00223775218846
0.1351.1672591492911.13240147043998
0.11351.5207582654531.28022134337488
0.12351.9054405926251.45592474734328
0.13352.3279855160591.67072232396133
0.14352.7970452135941.93462912241829
0.15353.3230295004992.25618449185203
0.16353.9173017478032.63947551831252
0.17354.5909009181333.08067514955247
0.18355.3529001397413.56673509865777
0.19356.2085818972684.07417481262846
0.2357.1577332813764.56931297679031
0.21358.1934524609275.01460471867031
0.22359.3018307320075.37286259891697
0.23360.4627141336315.61462170874225
0.24361.651501141665.72259637734652
0.25362.8416824327565.6928086701186
0.26364.0076569755845.53810847844802
0.27365.127313646565.28152802492584
0.28366.1839508067374.95498529203086
0.29367.1672804154414.59301035735548
0.3368.0734710950864.22793856445103
0.31368.9043703172483.8876199446283
0.32369.666170650473.59112252394132
0.33370.3678331654123.3468539374645
0.34371.0195584021073.15731440321413
0.35371.6315219819963.01795283749255
0.36372.2129942051942.91934805940901
0.37372.7718657466622.85244261600161
0.38373.3145237211182.80937101843123
0.39373.8459745674592.78370924840772
0.4374.3700948019462.77160863098041
0.41374.8899032676282.770603887477
0.42375.407780032562.77924264981139
0.43375.9255965051972.79603625802793
0.44376.4447580841112.81856716169367
0.45376.9661867992192.84380196352393
0.46377.490282987772.86875487905664
0.47378.0169025147062.8893109720241
0.48378.5453735080462.90259206008627
0.49379.0745602232762.90581204313048
0.5379.6029676625992.89802156346203
0.51380.1288732116812.87876662949004
0.52380.6504719585532.84806782282685
0.53381.1660284796262.80643261261512
0.54381.6740355273722.756200728709
0.55382.1733846758222.69896485903399
0.56382.6635525005892.63807117534381
0.57383.1447979523882.57750525163255
0.58383.6183548094042.52350230499968
0.59384.0865920025822.48283569699221
0.6384.5531089235822.46237754721571
0.61385.0227355341222.47062969132959
0.62385.5014181110662.51347784176478
0.63385.9959874515432.59503188864764
0.64386.5138219213462.71723847843884
0.65387.0624275745562.87721858005138
0.66387.6489589733813.07137973938269
0.67388.2796987697123.29251300628031
0.68388.9595072363773.53169951502491
0.69389.6912525774913.77747046055504
0.7390.4752454248054.01649166230023
0.71391.3087276603134.23243042305036
0.72392.1855002593224.40759904591805
0.73393.095803822594.52431041363378
0.74394.0265721286764.56704711709039
0.75394.9621493505764.52449616110897
0.76395.8854904866784.39210525903935
0.77396.779760186374.17485599955311
0.78397.6301292570963.88624697618016
0.79398.4254722525343.54793171848301
0.8399.1596275110973.18775711628827
0.81399.8319192883072.83450303662324
0.82400.4467690121352.51441954685213
0.83401.0124219605292.24670348886663
0.84401.5390404734682.03823928462924
0.85402.0365961991561.8833260260252
0.86402.5130594359061.76602444310424
0.87402.9732881569331.66637368324422
0.88403.4187781884391.56763237123144
0.89403.8481448928271.4589513222264
0.9404.2580249875521.33696691905047
0.91404.6441623222261.20208469084027
0.92405.0027652211411.05691626496812
0.93405.3324659374070.906267482935222
0.94405.6367208799560.762697862174729
0.95405.9247986960440.650786863813279
0.96406.2075906329690.593982274303953
0.97406.4858500767540.564753333530716
0.98406.7369965862270.467296024009506
0.99406.9182998934330.241541469851121


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')