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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 computationFri, 27 Mar 2009 07:25:52 -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/2009/Mar/27/t1238160411mi32r889zktpjdk.htm/, Retrieved Tue, 23 Apr 2024 19:55:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39224, Retrieved Tue, 23 Apr 2024 19:55:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189

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] [Harrel-Davis perc...] [2009-03-27 13:25:52] [497dd3403aa93022e6ec9f5d7facee10] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
310.95
312.97
315.07
315.43
315.73
315.77
315.77
315.77
313.99
314.57
314.63
314.65
314.65
314.93
315.27
316.26
316.98
317.01
317.07
317.07
317
317.08
317.04
317
317.05
321.59
325.59
326.23
326.28
326.35
326.35
326.35
326.39
326.74
326.9
326.9
326.91
336.93
348.5
349.43
349.26
349.26
349.28
349.61
349.66
349.68
349.91
349.91
350.89
355.52
356.36
357.04
360.28
360.63
360.79
360.97
361
361.01
361
361
361.58
363.19
363.61
364.14
365.51
365.51
365.5
365.5
364.59
364.63
364.54
363.67
365.22
369.05
370.45
370.46
370.46
370.58
370.58
370.22
370.21
370.29
370.29
370.2
370.2
372.55
374.51
375.58
375.75
375.75
375.75
375.69
375.76
377.5
377.51
377.74

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39224&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39224&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39224&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01311.8187461437961.59843727090965
0.02312.9084347093161.13352828596032
0.03313.7127176438850.766589361399612
0.04314.2027389761900.501303514713611
0.05314.4933922655710.35014763450384
0.06314.6836361655990.307967005641297
0.07314.8348545526060.332258243482582
0.08314.9785804741710.376439231646069
0.09315.1268921743990.418348755770681
0.1315.2818486318740.452324322500058
0.11315.4422314653910.482241784531717
0.12315.6070367589020.514145804515349
0.13315.7764346237150.551236887524316
0.14315.9514791039980.593492438183538
0.15316.1337839758720.641054580660636
0.16316.3259208102130.69837930231943
0.17316.5326389996150.781653484328255
0.18316.7623760869120.91468898362374
0.19317.0281642358191.12384794151351
0.2317.3471034572751.42519403498115
0.21317.7380492245951.81469779884782
0.22318.2178651959322.26857386619966
0.23318.7972445714582.74692352486568
0.24319.4774480238623.19978828632891
0.25320.2491940883923.58031831837059
0.26321.0943817417113.8553620698522
0.27321.9904936660354.01863472551688
0.28322.91668954734.09448174252444
0.29323.8600222485874.13926676596774
0.3324.8200757762464.22967532809791
0.31325.8106672640024.44648860319330
0.32326.8579681492634.84834167777155
0.33327.9952823274995.44899361896092
0.34329.2555459004326.21135801539486
0.35330.6631896259327.0597790782785
0.36332.227202404777.89371544106458
0.37333.9370062980928.60647205850513
0.38335.7621456781119.10592291725813
0.39337.655938568939.32615082233281
0.4339.5623381285049.2439137542898
0.41341.4245305792958.87842301748403
0.42343.1934376384948.28977949661043
0.43344.834384050247.5637207942559
0.44346.3306944085926.79937856254317
0.45347.6837449741936.08899055456981
0.46348.9098019928115.50450054529672
0.47350.0346237043645.08506815751137
0.48351.0871525120754.83010750005197
0.49352.0936367085674.70604421957423
0.5353.0732473117274.65832883224524
0.51354.0358025390794.62730990708836
0.52354.9817063490514.56445667327537
0.53355.9037599132454.43752254820779
0.54356.7901934929444.23343564027107
0.55357.6281283351643.95728720956109
0.56358.4067135854613.62877377581567
0.57359.1193610563663.27604421801216
0.58359.7647689240192.92895401941106
0.59360.3467211596912.61278069464827
0.6360.8729104580532.34744033324273
0.61361.3532083588722.13991802667347
0.62361.7978684181011.98706473379398
0.63362.216094484391.87734529542181
0.64362.6152597412881.79765144504691
0.65363.0008648601541.73605239001106
0.66363.3771239356041.68599521724247
0.67363.7479083784251.64885933953592
0.68364.1176916976741.63003964519718
0.69364.4921360390531.63929068534934
0.7364.8780443286831.68358327392684
0.71365.2825587531321.76445059055051
0.72365.7116947585001.87365534298773
0.73366.1685222158261.99291906169792
0.74366.6514862655612.09695686561956
0.75367.1534331350602.15904880837249
0.76367.6618163690212.15503053228141
0.77368.1602968347532.07283456338742
0.78368.6315755695561.9135092601136
0.79369.0609346212281.69305955067487
0.8369.4397433856251.44167364405577
0.81369.7681914646121.19679150221681
0.82370.0566932019071.00062546900390
0.83370.3256327418660.896597940112908
0.84370.6032412360960.918942582020468
0.85370.921420499341.07108326068099
0.86371.3094651366921.32005772454217
0.87371.7862101989511.60862495137887
0.88372.3522680812531.86391923037667
0.89372.9853105252302.00953584846494
0.9373.6418372383491.98803320295755
0.91374.2675672095691.78584762999307
0.92374.8153402141631.44696659599087
0.93375.2652273969241.06635756040864
0.94375.6377515491320.767439251854399
0.95375.9888036517960.6677090665414
0.96376.3777449987650.750344676318741
0.97376.8178205025200.804683480727492
0.98377.2498747219150.644669662869319
0.99377.5794070382440.346779928999651

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 311.818746143796 & 1.59843727090965 \tabularnewline
0.02 & 312.908434709316 & 1.13352828596032 \tabularnewline
0.03 & 313.712717643885 & 0.766589361399612 \tabularnewline
0.04 & 314.202738976190 & 0.501303514713611 \tabularnewline
0.05 & 314.493392265571 & 0.35014763450384 \tabularnewline
0.06 & 314.683636165599 & 0.307967005641297 \tabularnewline
0.07 & 314.834854552606 & 0.332258243482582 \tabularnewline
0.08 & 314.978580474171 & 0.376439231646069 \tabularnewline
0.09 & 315.126892174399 & 0.418348755770681 \tabularnewline
0.1 & 315.281848631874 & 0.452324322500058 \tabularnewline
0.11 & 315.442231465391 & 0.482241784531717 \tabularnewline
0.12 & 315.607036758902 & 0.514145804515349 \tabularnewline
0.13 & 315.776434623715 & 0.551236887524316 \tabularnewline
0.14 & 315.951479103998 & 0.593492438183538 \tabularnewline
0.15 & 316.133783975872 & 0.641054580660636 \tabularnewline
0.16 & 316.325920810213 & 0.69837930231943 \tabularnewline
0.17 & 316.532638999615 & 0.781653484328255 \tabularnewline
0.18 & 316.762376086912 & 0.91468898362374 \tabularnewline
0.19 & 317.028164235819 & 1.12384794151351 \tabularnewline
0.2 & 317.347103457275 & 1.42519403498115 \tabularnewline
0.21 & 317.738049224595 & 1.81469779884782 \tabularnewline
0.22 & 318.217865195932 & 2.26857386619966 \tabularnewline
0.23 & 318.797244571458 & 2.74692352486568 \tabularnewline
0.24 & 319.477448023862 & 3.19978828632891 \tabularnewline
0.25 & 320.249194088392 & 3.58031831837059 \tabularnewline
0.26 & 321.094381741711 & 3.8553620698522 \tabularnewline
0.27 & 321.990493666035 & 4.01863472551688 \tabularnewline
0.28 & 322.9166895473 & 4.09448174252444 \tabularnewline
0.29 & 323.860022248587 & 4.13926676596774 \tabularnewline
0.3 & 324.820075776246 & 4.22967532809791 \tabularnewline
0.31 & 325.810667264002 & 4.44648860319330 \tabularnewline
0.32 & 326.857968149263 & 4.84834167777155 \tabularnewline
0.33 & 327.995282327499 & 5.44899361896092 \tabularnewline
0.34 & 329.255545900432 & 6.21135801539486 \tabularnewline
0.35 & 330.663189625932 & 7.0597790782785 \tabularnewline
0.36 & 332.22720240477 & 7.89371544106458 \tabularnewline
0.37 & 333.937006298092 & 8.60647205850513 \tabularnewline
0.38 & 335.762145678111 & 9.10592291725813 \tabularnewline
0.39 & 337.65593856893 & 9.32615082233281 \tabularnewline
0.4 & 339.562338128504 & 9.2439137542898 \tabularnewline
0.41 & 341.424530579295 & 8.87842301748403 \tabularnewline
0.42 & 343.193437638494 & 8.28977949661043 \tabularnewline
0.43 & 344.83438405024 & 7.5637207942559 \tabularnewline
0.44 & 346.330694408592 & 6.79937856254317 \tabularnewline
0.45 & 347.683744974193 & 6.08899055456981 \tabularnewline
0.46 & 348.909801992811 & 5.50450054529672 \tabularnewline
0.47 & 350.034623704364 & 5.08506815751137 \tabularnewline
0.48 & 351.087152512075 & 4.83010750005197 \tabularnewline
0.49 & 352.093636708567 & 4.70604421957423 \tabularnewline
0.5 & 353.073247311727 & 4.65832883224524 \tabularnewline
0.51 & 354.035802539079 & 4.62730990708836 \tabularnewline
0.52 & 354.981706349051 & 4.56445667327537 \tabularnewline
0.53 & 355.903759913245 & 4.43752254820779 \tabularnewline
0.54 & 356.790193492944 & 4.23343564027107 \tabularnewline
0.55 & 357.628128335164 & 3.95728720956109 \tabularnewline
0.56 & 358.406713585461 & 3.62877377581567 \tabularnewline
0.57 & 359.119361056366 & 3.27604421801216 \tabularnewline
0.58 & 359.764768924019 & 2.92895401941106 \tabularnewline
0.59 & 360.346721159691 & 2.61278069464827 \tabularnewline
0.6 & 360.872910458053 & 2.34744033324273 \tabularnewline
0.61 & 361.353208358872 & 2.13991802667347 \tabularnewline
0.62 & 361.797868418101 & 1.98706473379398 \tabularnewline
0.63 & 362.21609448439 & 1.87734529542181 \tabularnewline
0.64 & 362.615259741288 & 1.79765144504691 \tabularnewline
0.65 & 363.000864860154 & 1.73605239001106 \tabularnewline
0.66 & 363.377123935604 & 1.68599521724247 \tabularnewline
0.67 & 363.747908378425 & 1.64885933953592 \tabularnewline
0.68 & 364.117691697674 & 1.63003964519718 \tabularnewline
0.69 & 364.492136039053 & 1.63929068534934 \tabularnewline
0.7 & 364.878044328683 & 1.68358327392684 \tabularnewline
0.71 & 365.282558753132 & 1.76445059055051 \tabularnewline
0.72 & 365.711694758500 & 1.87365534298773 \tabularnewline
0.73 & 366.168522215826 & 1.99291906169792 \tabularnewline
0.74 & 366.651486265561 & 2.09695686561956 \tabularnewline
0.75 & 367.153433135060 & 2.15904880837249 \tabularnewline
0.76 & 367.661816369021 & 2.15503053228141 \tabularnewline
0.77 & 368.160296834753 & 2.07283456338742 \tabularnewline
0.78 & 368.631575569556 & 1.9135092601136 \tabularnewline
0.79 & 369.060934621228 & 1.69305955067487 \tabularnewline
0.8 & 369.439743385625 & 1.44167364405577 \tabularnewline
0.81 & 369.768191464612 & 1.19679150221681 \tabularnewline
0.82 & 370.056693201907 & 1.00062546900390 \tabularnewline
0.83 & 370.325632741866 & 0.896597940112908 \tabularnewline
0.84 & 370.603241236096 & 0.918942582020468 \tabularnewline
0.85 & 370.92142049934 & 1.07108326068099 \tabularnewline
0.86 & 371.309465136692 & 1.32005772454217 \tabularnewline
0.87 & 371.786210198951 & 1.60862495137887 \tabularnewline
0.88 & 372.352268081253 & 1.86391923037667 \tabularnewline
0.89 & 372.985310525230 & 2.00953584846494 \tabularnewline
0.9 & 373.641837238349 & 1.98803320295755 \tabularnewline
0.91 & 374.267567209569 & 1.78584762999307 \tabularnewline
0.92 & 374.815340214163 & 1.44696659599087 \tabularnewline
0.93 & 375.265227396924 & 1.06635756040864 \tabularnewline
0.94 & 375.637751549132 & 0.767439251854399 \tabularnewline
0.95 & 375.988803651796 & 0.6677090665414 \tabularnewline
0.96 & 376.377744998765 & 0.750344676318741 \tabularnewline
0.97 & 376.817820502520 & 0.804683480727492 \tabularnewline
0.98 & 377.249874721915 & 0.644669662869319 \tabularnewline
0.99 & 377.579407038244 & 0.346779928999651 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39224&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]311.818746143796[/C][C]1.59843727090965[/C][/ROW]
[ROW][C]0.02[/C][C]312.908434709316[/C][C]1.13352828596032[/C][/ROW]
[ROW][C]0.03[/C][C]313.712717643885[/C][C]0.766589361399612[/C][/ROW]
[ROW][C]0.04[/C][C]314.202738976190[/C][C]0.501303514713611[/C][/ROW]
[ROW][C]0.05[/C][C]314.493392265571[/C][C]0.35014763450384[/C][/ROW]
[ROW][C]0.06[/C][C]314.683636165599[/C][C]0.307967005641297[/C][/ROW]
[ROW][C]0.07[/C][C]314.834854552606[/C][C]0.332258243482582[/C][/ROW]
[ROW][C]0.08[/C][C]314.978580474171[/C][C]0.376439231646069[/C][/ROW]
[ROW][C]0.09[/C][C]315.126892174399[/C][C]0.418348755770681[/C][/ROW]
[ROW][C]0.1[/C][C]315.281848631874[/C][C]0.452324322500058[/C][/ROW]
[ROW][C]0.11[/C][C]315.442231465391[/C][C]0.482241784531717[/C][/ROW]
[ROW][C]0.12[/C][C]315.607036758902[/C][C]0.514145804515349[/C][/ROW]
[ROW][C]0.13[/C][C]315.776434623715[/C][C]0.551236887524316[/C][/ROW]
[ROW][C]0.14[/C][C]315.951479103998[/C][C]0.593492438183538[/C][/ROW]
[ROW][C]0.15[/C][C]316.133783975872[/C][C]0.641054580660636[/C][/ROW]
[ROW][C]0.16[/C][C]316.325920810213[/C][C]0.69837930231943[/C][/ROW]
[ROW][C]0.17[/C][C]316.532638999615[/C][C]0.781653484328255[/C][/ROW]
[ROW][C]0.18[/C][C]316.762376086912[/C][C]0.91468898362374[/C][/ROW]
[ROW][C]0.19[/C][C]317.028164235819[/C][C]1.12384794151351[/C][/ROW]
[ROW][C]0.2[/C][C]317.347103457275[/C][C]1.42519403498115[/C][/ROW]
[ROW][C]0.21[/C][C]317.738049224595[/C][C]1.81469779884782[/C][/ROW]
[ROW][C]0.22[/C][C]318.217865195932[/C][C]2.26857386619966[/C][/ROW]
[ROW][C]0.23[/C][C]318.797244571458[/C][C]2.74692352486568[/C][/ROW]
[ROW][C]0.24[/C][C]319.477448023862[/C][C]3.19978828632891[/C][/ROW]
[ROW][C]0.25[/C][C]320.249194088392[/C][C]3.58031831837059[/C][/ROW]
[ROW][C]0.26[/C][C]321.094381741711[/C][C]3.8553620698522[/C][/ROW]
[ROW][C]0.27[/C][C]321.990493666035[/C][C]4.01863472551688[/C][/ROW]
[ROW][C]0.28[/C][C]322.9166895473[/C][C]4.09448174252444[/C][/ROW]
[ROW][C]0.29[/C][C]323.860022248587[/C][C]4.13926676596774[/C][/ROW]
[ROW][C]0.3[/C][C]324.820075776246[/C][C]4.22967532809791[/C][/ROW]
[ROW][C]0.31[/C][C]325.810667264002[/C][C]4.44648860319330[/C][/ROW]
[ROW][C]0.32[/C][C]326.857968149263[/C][C]4.84834167777155[/C][/ROW]
[ROW][C]0.33[/C][C]327.995282327499[/C][C]5.44899361896092[/C][/ROW]
[ROW][C]0.34[/C][C]329.255545900432[/C][C]6.21135801539486[/C][/ROW]
[ROW][C]0.35[/C][C]330.663189625932[/C][C]7.0597790782785[/C][/ROW]
[ROW][C]0.36[/C][C]332.22720240477[/C][C]7.89371544106458[/C][/ROW]
[ROW][C]0.37[/C][C]333.937006298092[/C][C]8.60647205850513[/C][/ROW]
[ROW][C]0.38[/C][C]335.762145678111[/C][C]9.10592291725813[/C][/ROW]
[ROW][C]0.39[/C][C]337.65593856893[/C][C]9.32615082233281[/C][/ROW]
[ROW][C]0.4[/C][C]339.562338128504[/C][C]9.2439137542898[/C][/ROW]
[ROW][C]0.41[/C][C]341.424530579295[/C][C]8.87842301748403[/C][/ROW]
[ROW][C]0.42[/C][C]343.193437638494[/C][C]8.28977949661043[/C][/ROW]
[ROW][C]0.43[/C][C]344.83438405024[/C][C]7.5637207942559[/C][/ROW]
[ROW][C]0.44[/C][C]346.330694408592[/C][C]6.79937856254317[/C][/ROW]
[ROW][C]0.45[/C][C]347.683744974193[/C][C]6.08899055456981[/C][/ROW]
[ROW][C]0.46[/C][C]348.909801992811[/C][C]5.50450054529672[/C][/ROW]
[ROW][C]0.47[/C][C]350.034623704364[/C][C]5.08506815751137[/C][/ROW]
[ROW][C]0.48[/C][C]351.087152512075[/C][C]4.83010750005197[/C][/ROW]
[ROW][C]0.49[/C][C]352.093636708567[/C][C]4.70604421957423[/C][/ROW]
[ROW][C]0.5[/C][C]353.073247311727[/C][C]4.65832883224524[/C][/ROW]
[ROW][C]0.51[/C][C]354.035802539079[/C][C]4.62730990708836[/C][/ROW]
[ROW][C]0.52[/C][C]354.981706349051[/C][C]4.56445667327537[/C][/ROW]
[ROW][C]0.53[/C][C]355.903759913245[/C][C]4.43752254820779[/C][/ROW]
[ROW][C]0.54[/C][C]356.790193492944[/C][C]4.23343564027107[/C][/ROW]
[ROW][C]0.55[/C][C]357.628128335164[/C][C]3.95728720956109[/C][/ROW]
[ROW][C]0.56[/C][C]358.406713585461[/C][C]3.62877377581567[/C][/ROW]
[ROW][C]0.57[/C][C]359.119361056366[/C][C]3.27604421801216[/C][/ROW]
[ROW][C]0.58[/C][C]359.764768924019[/C][C]2.92895401941106[/C][/ROW]
[ROW][C]0.59[/C][C]360.346721159691[/C][C]2.61278069464827[/C][/ROW]
[ROW][C]0.6[/C][C]360.872910458053[/C][C]2.34744033324273[/C][/ROW]
[ROW][C]0.61[/C][C]361.353208358872[/C][C]2.13991802667347[/C][/ROW]
[ROW][C]0.62[/C][C]361.797868418101[/C][C]1.98706473379398[/C][/ROW]
[ROW][C]0.63[/C][C]362.21609448439[/C][C]1.87734529542181[/C][/ROW]
[ROW][C]0.64[/C][C]362.615259741288[/C][C]1.79765144504691[/C][/ROW]
[ROW][C]0.65[/C][C]363.000864860154[/C][C]1.73605239001106[/C][/ROW]
[ROW][C]0.66[/C][C]363.377123935604[/C][C]1.68599521724247[/C][/ROW]
[ROW][C]0.67[/C][C]363.747908378425[/C][C]1.64885933953592[/C][/ROW]
[ROW][C]0.68[/C][C]364.117691697674[/C][C]1.63003964519718[/C][/ROW]
[ROW][C]0.69[/C][C]364.492136039053[/C][C]1.63929068534934[/C][/ROW]
[ROW][C]0.7[/C][C]364.878044328683[/C][C]1.68358327392684[/C][/ROW]
[ROW][C]0.71[/C][C]365.282558753132[/C][C]1.76445059055051[/C][/ROW]
[ROW][C]0.72[/C][C]365.711694758500[/C][C]1.87365534298773[/C][/ROW]
[ROW][C]0.73[/C][C]366.168522215826[/C][C]1.99291906169792[/C][/ROW]
[ROW][C]0.74[/C][C]366.651486265561[/C][C]2.09695686561956[/C][/ROW]
[ROW][C]0.75[/C][C]367.153433135060[/C][C]2.15904880837249[/C][/ROW]
[ROW][C]0.76[/C][C]367.661816369021[/C][C]2.15503053228141[/C][/ROW]
[ROW][C]0.77[/C][C]368.160296834753[/C][C]2.07283456338742[/C][/ROW]
[ROW][C]0.78[/C][C]368.631575569556[/C][C]1.9135092601136[/C][/ROW]
[ROW][C]0.79[/C][C]369.060934621228[/C][C]1.69305955067487[/C][/ROW]
[ROW][C]0.8[/C][C]369.439743385625[/C][C]1.44167364405577[/C][/ROW]
[ROW][C]0.81[/C][C]369.768191464612[/C][C]1.19679150221681[/C][/ROW]
[ROW][C]0.82[/C][C]370.056693201907[/C][C]1.00062546900390[/C][/ROW]
[ROW][C]0.83[/C][C]370.325632741866[/C][C]0.896597940112908[/C][/ROW]
[ROW][C]0.84[/C][C]370.603241236096[/C][C]0.918942582020468[/C][/ROW]
[ROW][C]0.85[/C][C]370.92142049934[/C][C]1.07108326068099[/C][/ROW]
[ROW][C]0.86[/C][C]371.309465136692[/C][C]1.32005772454217[/C][/ROW]
[ROW][C]0.87[/C][C]371.786210198951[/C][C]1.60862495137887[/C][/ROW]
[ROW][C]0.88[/C][C]372.352268081253[/C][C]1.86391923037667[/C][/ROW]
[ROW][C]0.89[/C][C]372.985310525230[/C][C]2.00953584846494[/C][/ROW]
[ROW][C]0.9[/C][C]373.641837238349[/C][C]1.98803320295755[/C][/ROW]
[ROW][C]0.91[/C][C]374.267567209569[/C][C]1.78584762999307[/C][/ROW]
[ROW][C]0.92[/C][C]374.815340214163[/C][C]1.44696659599087[/C][/ROW]
[ROW][C]0.93[/C][C]375.265227396924[/C][C]1.06635756040864[/C][/ROW]
[ROW][C]0.94[/C][C]375.637751549132[/C][C]0.767439251854399[/C][/ROW]
[ROW][C]0.95[/C][C]375.988803651796[/C][C]0.6677090665414[/C][/ROW]
[ROW][C]0.96[/C][C]376.377744998765[/C][C]0.750344676318741[/C][/ROW]
[ROW][C]0.97[/C][C]376.817820502520[/C][C]0.804683480727492[/C][/ROW]
[ROW][C]0.98[/C][C]377.249874721915[/C][C]0.644669662869319[/C][/ROW]
[ROW][C]0.99[/C][C]377.579407038244[/C][C]0.346779928999651[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39224&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39224&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
0.01311.8187461437961.59843727090965
0.02312.9084347093161.13352828596032
0.03313.7127176438850.766589361399612
0.04314.2027389761900.501303514713611
0.05314.4933922655710.35014763450384
0.06314.6836361655990.307967005641297
0.07314.8348545526060.332258243482582
0.08314.9785804741710.376439231646069
0.09315.1268921743990.418348755770681
0.1315.2818486318740.452324322500058
0.11315.4422314653910.482241784531717
0.12315.6070367589020.514145804515349
0.13315.7764346237150.551236887524316
0.14315.9514791039980.593492438183538
0.15316.1337839758720.641054580660636
0.16316.3259208102130.69837930231943
0.17316.5326389996150.781653484328255
0.18316.7623760869120.91468898362374
0.19317.0281642358191.12384794151351
0.2317.3471034572751.42519403498115
0.21317.7380492245951.81469779884782
0.22318.2178651959322.26857386619966
0.23318.7972445714582.74692352486568
0.24319.4774480238623.19978828632891
0.25320.2491940883923.58031831837059
0.26321.0943817417113.8553620698522
0.27321.9904936660354.01863472551688
0.28322.91668954734.09448174252444
0.29323.8600222485874.13926676596774
0.3324.8200757762464.22967532809791
0.31325.8106672640024.44648860319330
0.32326.8579681492634.84834167777155
0.33327.9952823274995.44899361896092
0.34329.2555459004326.21135801539486
0.35330.6631896259327.0597790782785
0.36332.227202404777.89371544106458
0.37333.9370062980928.60647205850513
0.38335.7621456781119.10592291725813
0.39337.655938568939.32615082233281
0.4339.5623381285049.2439137542898
0.41341.4245305792958.87842301748403
0.42343.1934376384948.28977949661043
0.43344.834384050247.5637207942559
0.44346.3306944085926.79937856254317
0.45347.6837449741936.08899055456981
0.46348.9098019928115.50450054529672
0.47350.0346237043645.08506815751137
0.48351.0871525120754.83010750005197
0.49352.0936367085674.70604421957423
0.5353.0732473117274.65832883224524
0.51354.0358025390794.62730990708836
0.52354.9817063490514.56445667327537
0.53355.9037599132454.43752254820779
0.54356.7901934929444.23343564027107
0.55357.6281283351643.95728720956109
0.56358.4067135854613.62877377581567
0.57359.1193610563663.27604421801216
0.58359.7647689240192.92895401941106
0.59360.3467211596912.61278069464827
0.6360.8729104580532.34744033324273
0.61361.3532083588722.13991802667347
0.62361.7978684181011.98706473379398
0.63362.216094484391.87734529542181
0.64362.6152597412881.79765144504691
0.65363.0008648601541.73605239001106
0.66363.3771239356041.68599521724247
0.67363.7479083784251.64885933953592
0.68364.1176916976741.63003964519718
0.69364.4921360390531.63929068534934
0.7364.8780443286831.68358327392684
0.71365.2825587531321.76445059055051
0.72365.7116947585001.87365534298773
0.73366.1685222158261.99291906169792
0.74366.6514862655612.09695686561956
0.75367.1534331350602.15904880837249
0.76367.6618163690212.15503053228141
0.77368.1602968347532.07283456338742
0.78368.6315755695561.9135092601136
0.79369.0609346212281.69305955067487
0.8369.4397433856251.44167364405577
0.81369.7681914646121.19679150221681
0.82370.0566932019071.00062546900390
0.83370.3256327418660.896597940112908
0.84370.6032412360960.918942582020468
0.85370.921420499341.07108326068099
0.86371.3094651366921.32005772454217
0.87371.7862101989511.60862495137887
0.88372.3522680812531.86391923037667
0.89372.9853105252302.00953584846494
0.9373.6418372383491.98803320295755
0.91374.2675672095691.78584762999307
0.92374.8153402141631.44696659599087
0.93375.2652273969241.06635756040864
0.94375.6377515491320.767439251854399
0.95375.9888036517960.6677090665414
0.96376.3777449987650.750344676318741
0.97376.8178205025200.804683480727492
0.98377.2498747219150.644669662869319
0.99377.5794070382440.346779928999651


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')