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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, 05 Oct 2014 15:14:47 +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/05/t1412518521ieizkqgoh0xkxbl.htm/, Retrieved Sat, 11 May 2024 08:28:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238794, Retrieved Sat, 11 May 2024 08:28:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

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] [Gemiddelde consum...] [2014-10-05 14:14:47] [6e93958bb59fd6ca90246553243cf8d9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
389,09
391,76
390,96
391,76
392,8
393,06
393,06
393,26
393,87
394,47
394,57
394,57
394,57
399,57
406,13
407,03
409,46
409,9
409,9
410,14
410,54
410,69
410,79
410,97
410,97
413,8
423,31
423,85
426,6
426,26
426,26
426,32
427,14
427,55
428,29
428,8
428,8
434,87
435,66
440,75
440,99
441,04
441,04
441,88
441,92
442,48
442,81
442,81
442,81
447,19
446,52
448,57
448,71
448,73
449,07
449,03
448,68
450,08
449,96
449,96
449,96
452,56
455,31
456,2
456,75
457,63
457,63
457,65
458,32
459,64
460,16
459,89

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238794&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238794&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238794&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01389.6279174324691.54910623806789
0.02390.371642675131.18245254372669
0.03391.0522639347910.919716100956146
0.04391.5867192634290.796285161212245
0.05392.002632115710.758978941130017
0.06392.3471430640170.752976631013222
0.07392.6541322336360.76482240203641
0.08392.9459922082980.814338532831426
0.09393.2423676294770.935034386530798
0.1393.5654401412731.15597900499077
0.11393.9410538078431.4961445803568
0.12394.3972780312911.96378847522192
0.13394.9615233794832.5520882653664
0.14395.6567182909163.23295099091307
0.15396.4970601452173.95553550411687
0.16397.4842232114584.65305222533002
0.17398.6051385984375.25278461157056
0.18399.8322520282435.68950302059116
0.19401.1265403344745.92036990628125
0.2402.4427916869915.92983746253292
0.21403.7360431631685.73523059961459
0.22404.9678292032425.38038248170866
0.23406.1110559994264.92793068319561
0.24407.152760119584.45053306372725
0.25408.0945464606034.02047966902941
0.26408.9509614238893.70182379578987
0.27409.7463460441823.54485193045253
0.28410.5108185512293.57392419665532
0.29411.2760034301093.78237176808114
0.3412.0710215699124.13544623419119
0.31412.9191377891914.58254144447227
0.32413.8353534126685.0678430840098
0.33414.8251316491765.53674135878609
0.34415.8843384791455.93780495228119
0.35417.0003609008116.23093360934786
0.36418.1542306018856.3913241535793
0.37419.3234524377796.4100829941274
0.38420.4851401341366.29484239216731
0.39421.6190210567696.06974964918062
0.4422.7099007457065.77176492983048
0.41423.7492726392525.44432212097976
0.42424.735900013475.13308109215144
0.43425.675357274734.88008545641214
0.44426.5786668984234.71598173971808
0.45427.4602831665084.65689334757603
0.46428.335741274894.7016561648808
0.47429.219307716854.82988227089845
0.48430.1219404572855.01196322317068
0.49431.0498050704785.21017883088079
0.5432.0035069131395.38856784720174
0.51432.9781005951345.51417845201247
0.52433.9638371806455.56187638481123
0.53434.9475173338855.51670041860281
0.54435.9142454834725.37495278933317
0.55436.8493352777895.14478291165811
0.56437.7401063782534.84144830649626
0.57438.5773383649954.4907590902928
0.58439.356204783154.12075525766341
0.59440.0765894685193.7602577111125
0.6440.7427753852823.43567656831964
0.61441.3625800446043.16932364198736
0.62441.9460801675542.97230409164172
0.63442.5041144228652.84699681710408
0.64443.0467735540622.78446037146533
0.65443.5820817674852.76652303968387
0.66444.1150435058592.77021065205614
0.67444.6471786308662.77258240819849
0.68445.1766012702372.75307020872515
0.69445.6986205590522.69772196153869
0.7446.2067659313122.59929926926028
0.71446.694078619962.45752073815165
0.72447.1544772686732.28070542404377
0.73447.5840069312542.08273087410411
0.74447.9818161588421.8814651435176
0.75448.3507644974911.69737435392201
0.76448.6976223159021.55086933634962
0.77449.0328649812861.46185952642055
0.78449.3700713764851.44563732976387
0.79449.7249179155971.51068603516948
0.8450.1137396198071.65456465748202
0.81450.5516484623171.86386121943087
0.82451.050289275432.11477295304161
0.83451.6154786433682.37492655301241
0.84452.2451696762422.6058883645316
0.85452.9283302100472.76826994474667
0.86453.6453169125652.82953830005026
0.87454.3701124036392.76982888001445
0.88455.0743814704922.58882796651255
0.89455.7327857163152.30848191933505
0.9456.3284926236931.96923094324246
0.91456.8574187073711.6245718836243
0.92457.3295362862081.33069878586716
0.93457.7657355853311.13383155538515
0.94458.1896951720621.04389690969359
0.95458.6164588337841.01286094620272
0.96459.0425911831740.954487773359051
0.97459.4443674301450.802800646968182
0.98459.7863240674750.566620522383754
0.99460.0333693221930.349617775023524

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 389.627917432469 & 1.54910623806789 \tabularnewline
0.02 & 390.37164267513 & 1.18245254372669 \tabularnewline
0.03 & 391.052263934791 & 0.919716100956146 \tabularnewline
0.04 & 391.586719263429 & 0.796285161212245 \tabularnewline
0.05 & 392.00263211571 & 0.758978941130017 \tabularnewline
0.06 & 392.347143064017 & 0.752976631013222 \tabularnewline
0.07 & 392.654132233636 & 0.76482240203641 \tabularnewline
0.08 & 392.945992208298 & 0.814338532831426 \tabularnewline
0.09 & 393.242367629477 & 0.935034386530798 \tabularnewline
0.1 & 393.565440141273 & 1.15597900499077 \tabularnewline
0.11 & 393.941053807843 & 1.4961445803568 \tabularnewline
0.12 & 394.397278031291 & 1.96378847522192 \tabularnewline
0.13 & 394.961523379483 & 2.5520882653664 \tabularnewline
0.14 & 395.656718290916 & 3.23295099091307 \tabularnewline
0.15 & 396.497060145217 & 3.95553550411687 \tabularnewline
0.16 & 397.484223211458 & 4.65305222533002 \tabularnewline
0.17 & 398.605138598437 & 5.25278461157056 \tabularnewline
0.18 & 399.832252028243 & 5.68950302059116 \tabularnewline
0.19 & 401.126540334474 & 5.92036990628125 \tabularnewline
0.2 & 402.442791686991 & 5.92983746253292 \tabularnewline
0.21 & 403.736043163168 & 5.73523059961459 \tabularnewline
0.22 & 404.967829203242 & 5.38038248170866 \tabularnewline
0.23 & 406.111055999426 & 4.92793068319561 \tabularnewline
0.24 & 407.15276011958 & 4.45053306372725 \tabularnewline
0.25 & 408.094546460603 & 4.02047966902941 \tabularnewline
0.26 & 408.950961423889 & 3.70182379578987 \tabularnewline
0.27 & 409.746346044182 & 3.54485193045253 \tabularnewline
0.28 & 410.510818551229 & 3.57392419665532 \tabularnewline
0.29 & 411.276003430109 & 3.78237176808114 \tabularnewline
0.3 & 412.071021569912 & 4.13544623419119 \tabularnewline
0.31 & 412.919137789191 & 4.58254144447227 \tabularnewline
0.32 & 413.835353412668 & 5.0678430840098 \tabularnewline
0.33 & 414.825131649176 & 5.53674135878609 \tabularnewline
0.34 & 415.884338479145 & 5.93780495228119 \tabularnewline
0.35 & 417.000360900811 & 6.23093360934786 \tabularnewline
0.36 & 418.154230601885 & 6.3913241535793 \tabularnewline
0.37 & 419.323452437779 & 6.4100829941274 \tabularnewline
0.38 & 420.485140134136 & 6.29484239216731 \tabularnewline
0.39 & 421.619021056769 & 6.06974964918062 \tabularnewline
0.4 & 422.709900745706 & 5.77176492983048 \tabularnewline
0.41 & 423.749272639252 & 5.44432212097976 \tabularnewline
0.42 & 424.73590001347 & 5.13308109215144 \tabularnewline
0.43 & 425.67535727473 & 4.88008545641214 \tabularnewline
0.44 & 426.578666898423 & 4.71598173971808 \tabularnewline
0.45 & 427.460283166508 & 4.65689334757603 \tabularnewline
0.46 & 428.33574127489 & 4.7016561648808 \tabularnewline
0.47 & 429.21930771685 & 4.82988227089845 \tabularnewline
0.48 & 430.121940457285 & 5.01196322317068 \tabularnewline
0.49 & 431.049805070478 & 5.21017883088079 \tabularnewline
0.5 & 432.003506913139 & 5.38856784720174 \tabularnewline
0.51 & 432.978100595134 & 5.51417845201247 \tabularnewline
0.52 & 433.963837180645 & 5.56187638481123 \tabularnewline
0.53 & 434.947517333885 & 5.51670041860281 \tabularnewline
0.54 & 435.914245483472 & 5.37495278933317 \tabularnewline
0.55 & 436.849335277789 & 5.14478291165811 \tabularnewline
0.56 & 437.740106378253 & 4.84144830649626 \tabularnewline
0.57 & 438.577338364995 & 4.4907590902928 \tabularnewline
0.58 & 439.35620478315 & 4.12075525766341 \tabularnewline
0.59 & 440.076589468519 & 3.7602577111125 \tabularnewline
0.6 & 440.742775385282 & 3.43567656831964 \tabularnewline
0.61 & 441.362580044604 & 3.16932364198736 \tabularnewline
0.62 & 441.946080167554 & 2.97230409164172 \tabularnewline
0.63 & 442.504114422865 & 2.84699681710408 \tabularnewline
0.64 & 443.046773554062 & 2.78446037146533 \tabularnewline
0.65 & 443.582081767485 & 2.76652303968387 \tabularnewline
0.66 & 444.115043505859 & 2.77021065205614 \tabularnewline
0.67 & 444.647178630866 & 2.77258240819849 \tabularnewline
0.68 & 445.176601270237 & 2.75307020872515 \tabularnewline
0.69 & 445.698620559052 & 2.69772196153869 \tabularnewline
0.7 & 446.206765931312 & 2.59929926926028 \tabularnewline
0.71 & 446.69407861996 & 2.45752073815165 \tabularnewline
0.72 & 447.154477268673 & 2.28070542404377 \tabularnewline
0.73 & 447.584006931254 & 2.08273087410411 \tabularnewline
0.74 & 447.981816158842 & 1.8814651435176 \tabularnewline
0.75 & 448.350764497491 & 1.69737435392201 \tabularnewline
0.76 & 448.697622315902 & 1.55086933634962 \tabularnewline
0.77 & 449.032864981286 & 1.46185952642055 \tabularnewline
0.78 & 449.370071376485 & 1.44563732976387 \tabularnewline
0.79 & 449.724917915597 & 1.51068603516948 \tabularnewline
0.8 & 450.113739619807 & 1.65456465748202 \tabularnewline
0.81 & 450.551648462317 & 1.86386121943087 \tabularnewline
0.82 & 451.05028927543 & 2.11477295304161 \tabularnewline
0.83 & 451.615478643368 & 2.37492655301241 \tabularnewline
0.84 & 452.245169676242 & 2.6058883645316 \tabularnewline
0.85 & 452.928330210047 & 2.76826994474667 \tabularnewline
0.86 & 453.645316912565 & 2.82953830005026 \tabularnewline
0.87 & 454.370112403639 & 2.76982888001445 \tabularnewline
0.88 & 455.074381470492 & 2.58882796651255 \tabularnewline
0.89 & 455.732785716315 & 2.30848191933505 \tabularnewline
0.9 & 456.328492623693 & 1.96923094324246 \tabularnewline
0.91 & 456.857418707371 & 1.6245718836243 \tabularnewline
0.92 & 457.329536286208 & 1.33069878586716 \tabularnewline
0.93 & 457.765735585331 & 1.13383155538515 \tabularnewline
0.94 & 458.189695172062 & 1.04389690969359 \tabularnewline
0.95 & 458.616458833784 & 1.01286094620272 \tabularnewline
0.96 & 459.042591183174 & 0.954487773359051 \tabularnewline
0.97 & 459.444367430145 & 0.802800646968182 \tabularnewline
0.98 & 459.786324067475 & 0.566620522383754 \tabularnewline
0.99 & 460.033369322193 & 0.349617775023524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238794&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]389.627917432469[/C][C]1.54910623806789[/C][/ROW]
[ROW][C]0.02[/C][C]390.37164267513[/C][C]1.18245254372669[/C][/ROW]
[ROW][C]0.03[/C][C]391.052263934791[/C][C]0.919716100956146[/C][/ROW]
[ROW][C]0.04[/C][C]391.586719263429[/C][C]0.796285161212245[/C][/ROW]
[ROW][C]0.05[/C][C]392.00263211571[/C][C]0.758978941130017[/C][/ROW]
[ROW][C]0.06[/C][C]392.347143064017[/C][C]0.752976631013222[/C][/ROW]
[ROW][C]0.07[/C][C]392.654132233636[/C][C]0.76482240203641[/C][/ROW]
[ROW][C]0.08[/C][C]392.945992208298[/C][C]0.814338532831426[/C][/ROW]
[ROW][C]0.09[/C][C]393.242367629477[/C][C]0.935034386530798[/C][/ROW]
[ROW][C]0.1[/C][C]393.565440141273[/C][C]1.15597900499077[/C][/ROW]
[ROW][C]0.11[/C][C]393.941053807843[/C][C]1.4961445803568[/C][/ROW]
[ROW][C]0.12[/C][C]394.397278031291[/C][C]1.96378847522192[/C][/ROW]
[ROW][C]0.13[/C][C]394.961523379483[/C][C]2.5520882653664[/C][/ROW]
[ROW][C]0.14[/C][C]395.656718290916[/C][C]3.23295099091307[/C][/ROW]
[ROW][C]0.15[/C][C]396.497060145217[/C][C]3.95553550411687[/C][/ROW]
[ROW][C]0.16[/C][C]397.484223211458[/C][C]4.65305222533002[/C][/ROW]
[ROW][C]0.17[/C][C]398.605138598437[/C][C]5.25278461157056[/C][/ROW]
[ROW][C]0.18[/C][C]399.832252028243[/C][C]5.68950302059116[/C][/ROW]
[ROW][C]0.19[/C][C]401.126540334474[/C][C]5.92036990628125[/C][/ROW]
[ROW][C]0.2[/C][C]402.442791686991[/C][C]5.92983746253292[/C][/ROW]
[ROW][C]0.21[/C][C]403.736043163168[/C][C]5.73523059961459[/C][/ROW]
[ROW][C]0.22[/C][C]404.967829203242[/C][C]5.38038248170866[/C][/ROW]
[ROW][C]0.23[/C][C]406.111055999426[/C][C]4.92793068319561[/C][/ROW]
[ROW][C]0.24[/C][C]407.15276011958[/C][C]4.45053306372725[/C][/ROW]
[ROW][C]0.25[/C][C]408.094546460603[/C][C]4.02047966902941[/C][/ROW]
[ROW][C]0.26[/C][C]408.950961423889[/C][C]3.70182379578987[/C][/ROW]
[ROW][C]0.27[/C][C]409.746346044182[/C][C]3.54485193045253[/C][/ROW]
[ROW][C]0.28[/C][C]410.510818551229[/C][C]3.57392419665532[/C][/ROW]
[ROW][C]0.29[/C][C]411.276003430109[/C][C]3.78237176808114[/C][/ROW]
[ROW][C]0.3[/C][C]412.071021569912[/C][C]4.13544623419119[/C][/ROW]
[ROW][C]0.31[/C][C]412.919137789191[/C][C]4.58254144447227[/C][/ROW]
[ROW][C]0.32[/C][C]413.835353412668[/C][C]5.0678430840098[/C][/ROW]
[ROW][C]0.33[/C][C]414.825131649176[/C][C]5.53674135878609[/C][/ROW]
[ROW][C]0.34[/C][C]415.884338479145[/C][C]5.93780495228119[/C][/ROW]
[ROW][C]0.35[/C][C]417.000360900811[/C][C]6.23093360934786[/C][/ROW]
[ROW][C]0.36[/C][C]418.154230601885[/C][C]6.3913241535793[/C][/ROW]
[ROW][C]0.37[/C][C]419.323452437779[/C][C]6.4100829941274[/C][/ROW]
[ROW][C]0.38[/C][C]420.485140134136[/C][C]6.29484239216731[/C][/ROW]
[ROW][C]0.39[/C][C]421.619021056769[/C][C]6.06974964918062[/C][/ROW]
[ROW][C]0.4[/C][C]422.709900745706[/C][C]5.77176492983048[/C][/ROW]
[ROW][C]0.41[/C][C]423.749272639252[/C][C]5.44432212097976[/C][/ROW]
[ROW][C]0.42[/C][C]424.73590001347[/C][C]5.13308109215144[/C][/ROW]
[ROW][C]0.43[/C][C]425.67535727473[/C][C]4.88008545641214[/C][/ROW]
[ROW][C]0.44[/C][C]426.578666898423[/C][C]4.71598173971808[/C][/ROW]
[ROW][C]0.45[/C][C]427.460283166508[/C][C]4.65689334757603[/C][/ROW]
[ROW][C]0.46[/C][C]428.33574127489[/C][C]4.7016561648808[/C][/ROW]
[ROW][C]0.47[/C][C]429.21930771685[/C][C]4.82988227089845[/C][/ROW]
[ROW][C]0.48[/C][C]430.121940457285[/C][C]5.01196322317068[/C][/ROW]
[ROW][C]0.49[/C][C]431.049805070478[/C][C]5.21017883088079[/C][/ROW]
[ROW][C]0.5[/C][C]432.003506913139[/C][C]5.38856784720174[/C][/ROW]
[ROW][C]0.51[/C][C]432.978100595134[/C][C]5.51417845201247[/C][/ROW]
[ROW][C]0.52[/C][C]433.963837180645[/C][C]5.56187638481123[/C][/ROW]
[ROW][C]0.53[/C][C]434.947517333885[/C][C]5.51670041860281[/C][/ROW]
[ROW][C]0.54[/C][C]435.914245483472[/C][C]5.37495278933317[/C][/ROW]
[ROW][C]0.55[/C][C]436.849335277789[/C][C]5.14478291165811[/C][/ROW]
[ROW][C]0.56[/C][C]437.740106378253[/C][C]4.84144830649626[/C][/ROW]
[ROW][C]0.57[/C][C]438.577338364995[/C][C]4.4907590902928[/C][/ROW]
[ROW][C]0.58[/C][C]439.35620478315[/C][C]4.12075525766341[/C][/ROW]
[ROW][C]0.59[/C][C]440.076589468519[/C][C]3.7602577111125[/C][/ROW]
[ROW][C]0.6[/C][C]440.742775385282[/C][C]3.43567656831964[/C][/ROW]
[ROW][C]0.61[/C][C]441.362580044604[/C][C]3.16932364198736[/C][/ROW]
[ROW][C]0.62[/C][C]441.946080167554[/C][C]2.97230409164172[/C][/ROW]
[ROW][C]0.63[/C][C]442.504114422865[/C][C]2.84699681710408[/C][/ROW]
[ROW][C]0.64[/C][C]443.046773554062[/C][C]2.78446037146533[/C][/ROW]
[ROW][C]0.65[/C][C]443.582081767485[/C][C]2.76652303968387[/C][/ROW]
[ROW][C]0.66[/C][C]444.115043505859[/C][C]2.77021065205614[/C][/ROW]
[ROW][C]0.67[/C][C]444.647178630866[/C][C]2.77258240819849[/C][/ROW]
[ROW][C]0.68[/C][C]445.176601270237[/C][C]2.75307020872515[/C][/ROW]
[ROW][C]0.69[/C][C]445.698620559052[/C][C]2.69772196153869[/C][/ROW]
[ROW][C]0.7[/C][C]446.206765931312[/C][C]2.59929926926028[/C][/ROW]
[ROW][C]0.71[/C][C]446.69407861996[/C][C]2.45752073815165[/C][/ROW]
[ROW][C]0.72[/C][C]447.154477268673[/C][C]2.28070542404377[/C][/ROW]
[ROW][C]0.73[/C][C]447.584006931254[/C][C]2.08273087410411[/C][/ROW]
[ROW][C]0.74[/C][C]447.981816158842[/C][C]1.8814651435176[/C][/ROW]
[ROW][C]0.75[/C][C]448.350764497491[/C][C]1.69737435392201[/C][/ROW]
[ROW][C]0.76[/C][C]448.697622315902[/C][C]1.55086933634962[/C][/ROW]
[ROW][C]0.77[/C][C]449.032864981286[/C][C]1.46185952642055[/C][/ROW]
[ROW][C]0.78[/C][C]449.370071376485[/C][C]1.44563732976387[/C][/ROW]
[ROW][C]0.79[/C][C]449.724917915597[/C][C]1.51068603516948[/C][/ROW]
[ROW][C]0.8[/C][C]450.113739619807[/C][C]1.65456465748202[/C][/ROW]
[ROW][C]0.81[/C][C]450.551648462317[/C][C]1.86386121943087[/C][/ROW]
[ROW][C]0.82[/C][C]451.05028927543[/C][C]2.11477295304161[/C][/ROW]
[ROW][C]0.83[/C][C]451.615478643368[/C][C]2.37492655301241[/C][/ROW]
[ROW][C]0.84[/C][C]452.245169676242[/C][C]2.6058883645316[/C][/ROW]
[ROW][C]0.85[/C][C]452.928330210047[/C][C]2.76826994474667[/C][/ROW]
[ROW][C]0.86[/C][C]453.645316912565[/C][C]2.82953830005026[/C][/ROW]
[ROW][C]0.87[/C][C]454.370112403639[/C][C]2.76982888001445[/C][/ROW]
[ROW][C]0.88[/C][C]455.074381470492[/C][C]2.58882796651255[/C][/ROW]
[ROW][C]0.89[/C][C]455.732785716315[/C][C]2.30848191933505[/C][/ROW]
[ROW][C]0.9[/C][C]456.328492623693[/C][C]1.96923094324246[/C][/ROW]
[ROW][C]0.91[/C][C]456.857418707371[/C][C]1.6245718836243[/C][/ROW]
[ROW][C]0.92[/C][C]457.329536286208[/C][C]1.33069878586716[/C][/ROW]
[ROW][C]0.93[/C][C]457.765735585331[/C][C]1.13383155538515[/C][/ROW]
[ROW][C]0.94[/C][C]458.189695172062[/C][C]1.04389690969359[/C][/ROW]
[ROW][C]0.95[/C][C]458.616458833784[/C][C]1.01286094620272[/C][/ROW]
[ROW][C]0.96[/C][C]459.042591183174[/C][C]0.954487773359051[/C][/ROW]
[ROW][C]0.97[/C][C]459.444367430145[/C][C]0.802800646968182[/C][/ROW]
[ROW][C]0.98[/C][C]459.786324067475[/C][C]0.566620522383754[/C][/ROW]
[ROW][C]0.99[/C][C]460.033369322193[/C][C]0.349617775023524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238794&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238794&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
0.01389.6279174324691.54910623806789
0.02390.371642675131.18245254372669
0.03391.0522639347910.919716100956146
0.04391.5867192634290.796285161212245
0.05392.002632115710.758978941130017
0.06392.3471430640170.752976631013222
0.07392.6541322336360.76482240203641
0.08392.9459922082980.814338532831426
0.09393.2423676294770.935034386530798
0.1393.5654401412731.15597900499077
0.11393.9410538078431.4961445803568
0.12394.3972780312911.96378847522192
0.13394.9615233794832.5520882653664
0.14395.6567182909163.23295099091307
0.15396.4970601452173.95553550411687
0.16397.4842232114584.65305222533002
0.17398.6051385984375.25278461157056
0.18399.8322520282435.68950302059116
0.19401.1265403344745.92036990628125
0.2402.4427916869915.92983746253292
0.21403.7360431631685.73523059961459
0.22404.9678292032425.38038248170866
0.23406.1110559994264.92793068319561
0.24407.152760119584.45053306372725
0.25408.0945464606034.02047966902941
0.26408.9509614238893.70182379578987
0.27409.7463460441823.54485193045253
0.28410.5108185512293.57392419665532
0.29411.2760034301093.78237176808114
0.3412.0710215699124.13544623419119
0.31412.9191377891914.58254144447227
0.32413.8353534126685.0678430840098
0.33414.8251316491765.53674135878609
0.34415.8843384791455.93780495228119
0.35417.0003609008116.23093360934786
0.36418.1542306018856.3913241535793
0.37419.3234524377796.4100829941274
0.38420.4851401341366.29484239216731
0.39421.6190210567696.06974964918062
0.4422.7099007457065.77176492983048
0.41423.7492726392525.44432212097976
0.42424.735900013475.13308109215144
0.43425.675357274734.88008545641214
0.44426.5786668984234.71598173971808
0.45427.4602831665084.65689334757603
0.46428.335741274894.7016561648808
0.47429.219307716854.82988227089845
0.48430.1219404572855.01196322317068
0.49431.0498050704785.21017883088079
0.5432.0035069131395.38856784720174
0.51432.9781005951345.51417845201247
0.52433.9638371806455.56187638481123
0.53434.9475173338855.51670041860281
0.54435.9142454834725.37495278933317
0.55436.8493352777895.14478291165811
0.56437.7401063782534.84144830649626
0.57438.5773383649954.4907590902928
0.58439.356204783154.12075525766341
0.59440.0765894685193.7602577111125
0.6440.7427753852823.43567656831964
0.61441.3625800446043.16932364198736
0.62441.9460801675542.97230409164172
0.63442.5041144228652.84699681710408
0.64443.0467735540622.78446037146533
0.65443.5820817674852.76652303968387
0.66444.1150435058592.77021065205614
0.67444.6471786308662.77258240819849
0.68445.1766012702372.75307020872515
0.69445.6986205590522.69772196153869
0.7446.2067659313122.59929926926028
0.71446.694078619962.45752073815165
0.72447.1544772686732.28070542404377
0.73447.5840069312542.08273087410411
0.74447.9818161588421.8814651435176
0.75448.3507644974911.69737435392201
0.76448.6976223159021.55086933634962
0.77449.0328649812861.46185952642055
0.78449.3700713764851.44563732976387
0.79449.7249179155971.51068603516948
0.8450.1137396198071.65456465748202
0.81450.5516484623171.86386121943087
0.82451.050289275432.11477295304161
0.83451.6154786433682.37492655301241
0.84452.2451696762422.6058883645316
0.85452.9283302100472.76826994474667
0.86453.6453169125652.82953830005026
0.87454.3701124036392.76982888001445
0.88455.0743814704922.58882796651255
0.89455.7327857163152.30848191933505
0.9456.3284926236931.96923094324246
0.91456.8574187073711.6245718836243
0.92457.3295362862081.33069878586716
0.93457.7657355853311.13383155538515
0.94458.1896951720621.04389690969359
0.95458.6164588337841.01286094620272
0.96459.0425911831740.954487773359051
0.97459.4443674301450.802800646968182
0.98459.7863240674750.566620522383754
0.99460.0333693221930.349617775023524


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')