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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 13:26:53 +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/t1412512038yg2xt9xjzrd6hto.htm/, Retrieved Tue, 10 Feb 2026 21:06:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238751, Retrieved Tue, 10 Feb 2026 21:06:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact327

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] [Werkloosheid vana...] [2014-10-05 12:26:53] [f3f8000f3957416038d6f50ac60d9d25] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
412
406
398
397
385
390
413
413
401
397
397
409
419
424
428
430
424
433
456
459
446
441
439
454
460
457
451
444
437
443
471
469
454
444
436
442
446
442
438
433
428
426
452
455
439
434
431
435
450
449
442
437
431
433
460
465
451
447
446
449
460
457
454
453
449
451
482
486
476
472
471
479

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=238751&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=238751&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238751&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
0.01386.802279938665.02354934771708
0.02389.5434831576394.91726334775508
0.03392.289006342824.31844430547619
0.04394.5716374106133.5443824120296
0.05396.3759858751433.17755296945915
0.06397.8986088155123.47561469859989
0.07399.3576543552234.20649188259219
0.08400.9001591410795.04382755058716
0.09402.5838790932845.77910987979052
0.1404.3991730247286.31932807252104
0.11406.3024079472766.66007919507777
0.12408.2437635011166.84982204174352
0.13410.1830309832346.95020259842183
0.14412.0940871323067.00771791329503
0.15413.9620345698487.03657546668159
0.16415.7775559107077.0237521022471
0.17417.5319604675416.94512292635255
0.18419.2146874409966.78019200001415
0.19420.813422518616.52273070760044
0.2422.3159452888956.18281449252704
0.21423.7124816059745.78471945148337
0.22424.997546997565.35683814431543
0.23426.1707575560774.92862786367033
0.24427.2365822051444.52306858518424
0.25428.2033418324944.15650848317145
0.26429.081876449913.83683378725284
0.27429.8842449600533.56714450543613
0.28430.6226787162473.34712476385407
0.29431.3088604779463.17325775416733
0.3431.9534943714523.04224679193813
0.31432.5660846219182.94924981226903
0.32433.154840250342.88911073486213
0.33433.7266477666762.85639249616204
0.34434.2870833930332.84470394298661
0.35434.840457518042.84797152129482
0.36435.3898928930912.86130326259756
0.37435.9374371383152.87885587639196
0.38436.4842049161382.89680961973395
0.39437.0305406515242.91183040169428
0.4437.5761914773882.92208833661374
0.41438.1204819446112.92518976005408
0.42438.6624849477182.9206026264006
0.43439.2011850035862.90902830495814
0.44439.735629263732.88987391547505
0.45440.2650588629672.86511821852203
0.46440.7890101730842.83701804840929
0.47441.30737441872.80775178897185
0.48441.8204064501712.78094375246689
0.49442.328679412232.75708445700361
0.5442.8329903075782.73863962021354
0.51443.3342298326012.72467195902386
0.52443.8332361153912.71572604644429
0.53444.3306546225312.70844720365603
0.54444.8268251802952.70156488523283
0.55445.3217124854462.69269481470862
0.56445.8148899376112.67907093175677
0.57446.3055793829272.65838004766358
0.58446.7927423059332.62999357242296
0.59447.2752116064042.59267821069897
0.6447.7518476439512.5472578340469
0.61448.2216982010292.49574019636024
0.62448.6841402509062.43957048602288
0.63449.1389829935012.38228278961119
0.64449.5865173516952.32686541194747
0.65450.0275069125362.27647210864551
0.66450.4631276615122.23263761294606
0.67450.8948758754032.19714638948999
0.68451.3244714910312.17051091466469
0.69451.7537848656842.15258351616123
0.7452.184806730212.14277170141183
0.71452.6196660719052.14097360442727
0.72453.0606838307552.14820680246657
0.73453.5104391173782.16508563917235
0.74453.9718264670432.19357325678827
0.75454.4481011795092.23497785577816
0.76454.9429418588232.29021806087967
0.77455.4605925249452.35944306326189
0.78456.0061600918542.44459311349035
0.79456.5861115065312.5483468609858
0.8457.2089194289592.67826163057368
0.81457.8856486810522.84517583987181
0.82458.6300993630123.06240507326631
0.83459.4580162222673.33954231113945
0.84460.3849616935523.6751369286374
0.85461.4228400245534.04730716816377
0.86462.5757570424164.41278924493131
0.87463.8367134330094.71265398272282
0.88465.1871389480194.88831451253051
0.89466.6009406760774.90289817528612
0.9468.0531962022754.76356562382605
0.91469.5311002949034.53042436017138
0.92471.0423983157854.3039734963292
0.93472.6161717506864.17809992935081
0.94474.2940997987874.17286754173049
0.95476.1165918617274.21002790669011
0.96478.1116763017774.17030775897006
0.97480.282723944723.99567771870294
0.98482.5573463811713.78368990776687
0.99484.6544582180353.7658614154708

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 386.80227993866 & 5.02354934771708 \tabularnewline
0.02 & 389.543483157639 & 4.91726334775508 \tabularnewline
0.03 & 392.28900634282 & 4.31844430547619 \tabularnewline
0.04 & 394.571637410613 & 3.5443824120296 \tabularnewline
0.05 & 396.375985875143 & 3.17755296945915 \tabularnewline
0.06 & 397.898608815512 & 3.47561469859989 \tabularnewline
0.07 & 399.357654355223 & 4.20649188259219 \tabularnewline
0.08 & 400.900159141079 & 5.04382755058716 \tabularnewline
0.09 & 402.583879093284 & 5.77910987979052 \tabularnewline
0.1 & 404.399173024728 & 6.31932807252104 \tabularnewline
0.11 & 406.302407947276 & 6.66007919507777 \tabularnewline
0.12 & 408.243763501116 & 6.84982204174352 \tabularnewline
0.13 & 410.183030983234 & 6.95020259842183 \tabularnewline
0.14 & 412.094087132306 & 7.00771791329503 \tabularnewline
0.15 & 413.962034569848 & 7.03657546668159 \tabularnewline
0.16 & 415.777555910707 & 7.0237521022471 \tabularnewline
0.17 & 417.531960467541 & 6.94512292635255 \tabularnewline
0.18 & 419.214687440996 & 6.78019200001415 \tabularnewline
0.19 & 420.81342251861 & 6.52273070760044 \tabularnewline
0.2 & 422.315945288895 & 6.18281449252704 \tabularnewline
0.21 & 423.712481605974 & 5.78471945148337 \tabularnewline
0.22 & 424.99754699756 & 5.35683814431543 \tabularnewline
0.23 & 426.170757556077 & 4.92862786367033 \tabularnewline
0.24 & 427.236582205144 & 4.52306858518424 \tabularnewline
0.25 & 428.203341832494 & 4.15650848317145 \tabularnewline
0.26 & 429.08187644991 & 3.83683378725284 \tabularnewline
0.27 & 429.884244960053 & 3.56714450543613 \tabularnewline
0.28 & 430.622678716247 & 3.34712476385407 \tabularnewline
0.29 & 431.308860477946 & 3.17325775416733 \tabularnewline
0.3 & 431.953494371452 & 3.04224679193813 \tabularnewline
0.31 & 432.566084621918 & 2.94924981226903 \tabularnewline
0.32 & 433.15484025034 & 2.88911073486213 \tabularnewline
0.33 & 433.726647766676 & 2.85639249616204 \tabularnewline
0.34 & 434.287083393033 & 2.84470394298661 \tabularnewline
0.35 & 434.84045751804 & 2.84797152129482 \tabularnewline
0.36 & 435.389892893091 & 2.86130326259756 \tabularnewline
0.37 & 435.937437138315 & 2.87885587639196 \tabularnewline
0.38 & 436.484204916138 & 2.89680961973395 \tabularnewline
0.39 & 437.030540651524 & 2.91183040169428 \tabularnewline
0.4 & 437.576191477388 & 2.92208833661374 \tabularnewline
0.41 & 438.120481944611 & 2.92518976005408 \tabularnewline
0.42 & 438.662484947718 & 2.9206026264006 \tabularnewline
0.43 & 439.201185003586 & 2.90902830495814 \tabularnewline
0.44 & 439.73562926373 & 2.88987391547505 \tabularnewline
0.45 & 440.265058862967 & 2.86511821852203 \tabularnewline
0.46 & 440.789010173084 & 2.83701804840929 \tabularnewline
0.47 & 441.3073744187 & 2.80775178897185 \tabularnewline
0.48 & 441.820406450171 & 2.78094375246689 \tabularnewline
0.49 & 442.32867941223 & 2.75708445700361 \tabularnewline
0.5 & 442.832990307578 & 2.73863962021354 \tabularnewline
0.51 & 443.334229832601 & 2.72467195902386 \tabularnewline
0.52 & 443.833236115391 & 2.71572604644429 \tabularnewline
0.53 & 444.330654622531 & 2.70844720365603 \tabularnewline
0.54 & 444.826825180295 & 2.70156488523283 \tabularnewline
0.55 & 445.321712485446 & 2.69269481470862 \tabularnewline
0.56 & 445.814889937611 & 2.67907093175677 \tabularnewline
0.57 & 446.305579382927 & 2.65838004766358 \tabularnewline
0.58 & 446.792742305933 & 2.62999357242296 \tabularnewline
0.59 & 447.275211606404 & 2.59267821069897 \tabularnewline
0.6 & 447.751847643951 & 2.5472578340469 \tabularnewline
0.61 & 448.221698201029 & 2.49574019636024 \tabularnewline
0.62 & 448.684140250906 & 2.43957048602288 \tabularnewline
0.63 & 449.138982993501 & 2.38228278961119 \tabularnewline
0.64 & 449.586517351695 & 2.32686541194747 \tabularnewline
0.65 & 450.027506912536 & 2.27647210864551 \tabularnewline
0.66 & 450.463127661512 & 2.23263761294606 \tabularnewline
0.67 & 450.894875875403 & 2.19714638948999 \tabularnewline
0.68 & 451.324471491031 & 2.17051091466469 \tabularnewline
0.69 & 451.753784865684 & 2.15258351616123 \tabularnewline
0.7 & 452.18480673021 & 2.14277170141183 \tabularnewline
0.71 & 452.619666071905 & 2.14097360442727 \tabularnewline
0.72 & 453.060683830755 & 2.14820680246657 \tabularnewline
0.73 & 453.510439117378 & 2.16508563917235 \tabularnewline
0.74 & 453.971826467043 & 2.19357325678827 \tabularnewline
0.75 & 454.448101179509 & 2.23497785577816 \tabularnewline
0.76 & 454.942941858823 & 2.29021806087967 \tabularnewline
0.77 & 455.460592524945 & 2.35944306326189 \tabularnewline
0.78 & 456.006160091854 & 2.44459311349035 \tabularnewline
0.79 & 456.586111506531 & 2.5483468609858 \tabularnewline
0.8 & 457.208919428959 & 2.67826163057368 \tabularnewline
0.81 & 457.885648681052 & 2.84517583987181 \tabularnewline
0.82 & 458.630099363012 & 3.06240507326631 \tabularnewline
0.83 & 459.458016222267 & 3.33954231113945 \tabularnewline
0.84 & 460.384961693552 & 3.6751369286374 \tabularnewline
0.85 & 461.422840024553 & 4.04730716816377 \tabularnewline
0.86 & 462.575757042416 & 4.41278924493131 \tabularnewline
0.87 & 463.836713433009 & 4.71265398272282 \tabularnewline
0.88 & 465.187138948019 & 4.88831451253051 \tabularnewline
0.89 & 466.600940676077 & 4.90289817528612 \tabularnewline
0.9 & 468.053196202275 & 4.76356562382605 \tabularnewline
0.91 & 469.531100294903 & 4.53042436017138 \tabularnewline
0.92 & 471.042398315785 & 4.3039734963292 \tabularnewline
0.93 & 472.616171750686 & 4.17809992935081 \tabularnewline
0.94 & 474.294099798787 & 4.17286754173049 \tabularnewline
0.95 & 476.116591861727 & 4.21002790669011 \tabularnewline
0.96 & 478.111676301777 & 4.17030775897006 \tabularnewline
0.97 & 480.28272394472 & 3.99567771870294 \tabularnewline
0.98 & 482.557346381171 & 3.78368990776687 \tabularnewline
0.99 & 484.654458218035 & 3.7658614154708 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238751&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]386.80227993866[/C][C]5.02354934771708[/C][/ROW]
[ROW][C]0.02[/C][C]389.543483157639[/C][C]4.91726334775508[/C][/ROW]
[ROW][C]0.03[/C][C]392.28900634282[/C][C]4.31844430547619[/C][/ROW]
[ROW][C]0.04[/C][C]394.571637410613[/C][C]3.5443824120296[/C][/ROW]
[ROW][C]0.05[/C][C]396.375985875143[/C][C]3.17755296945915[/C][/ROW]
[ROW][C]0.06[/C][C]397.898608815512[/C][C]3.47561469859989[/C][/ROW]
[ROW][C]0.07[/C][C]399.357654355223[/C][C]4.20649188259219[/C][/ROW]
[ROW][C]0.08[/C][C]400.900159141079[/C][C]5.04382755058716[/C][/ROW]
[ROW][C]0.09[/C][C]402.583879093284[/C][C]5.77910987979052[/C][/ROW]
[ROW][C]0.1[/C][C]404.399173024728[/C][C]6.31932807252104[/C][/ROW]
[ROW][C]0.11[/C][C]406.302407947276[/C][C]6.66007919507777[/C][/ROW]
[ROW][C]0.12[/C][C]408.243763501116[/C][C]6.84982204174352[/C][/ROW]
[ROW][C]0.13[/C][C]410.183030983234[/C][C]6.95020259842183[/C][/ROW]
[ROW][C]0.14[/C][C]412.094087132306[/C][C]7.00771791329503[/C][/ROW]
[ROW][C]0.15[/C][C]413.962034569848[/C][C]7.03657546668159[/C][/ROW]
[ROW][C]0.16[/C][C]415.777555910707[/C][C]7.0237521022471[/C][/ROW]
[ROW][C]0.17[/C][C]417.531960467541[/C][C]6.94512292635255[/C][/ROW]
[ROW][C]0.18[/C][C]419.214687440996[/C][C]6.78019200001415[/C][/ROW]
[ROW][C]0.19[/C][C]420.81342251861[/C][C]6.52273070760044[/C][/ROW]
[ROW][C]0.2[/C][C]422.315945288895[/C][C]6.18281449252704[/C][/ROW]
[ROW][C]0.21[/C][C]423.712481605974[/C][C]5.78471945148337[/C][/ROW]
[ROW][C]0.22[/C][C]424.99754699756[/C][C]5.35683814431543[/C][/ROW]
[ROW][C]0.23[/C][C]426.170757556077[/C][C]4.92862786367033[/C][/ROW]
[ROW][C]0.24[/C][C]427.236582205144[/C][C]4.52306858518424[/C][/ROW]
[ROW][C]0.25[/C][C]428.203341832494[/C][C]4.15650848317145[/C][/ROW]
[ROW][C]0.26[/C][C]429.08187644991[/C][C]3.83683378725284[/C][/ROW]
[ROW][C]0.27[/C][C]429.884244960053[/C][C]3.56714450543613[/C][/ROW]
[ROW][C]0.28[/C][C]430.622678716247[/C][C]3.34712476385407[/C][/ROW]
[ROW][C]0.29[/C][C]431.308860477946[/C][C]3.17325775416733[/C][/ROW]
[ROW][C]0.3[/C][C]431.953494371452[/C][C]3.04224679193813[/C][/ROW]
[ROW][C]0.31[/C][C]432.566084621918[/C][C]2.94924981226903[/C][/ROW]
[ROW][C]0.32[/C][C]433.15484025034[/C][C]2.88911073486213[/C][/ROW]
[ROW][C]0.33[/C][C]433.726647766676[/C][C]2.85639249616204[/C][/ROW]
[ROW][C]0.34[/C][C]434.287083393033[/C][C]2.84470394298661[/C][/ROW]
[ROW][C]0.35[/C][C]434.84045751804[/C][C]2.84797152129482[/C][/ROW]
[ROW][C]0.36[/C][C]435.389892893091[/C][C]2.86130326259756[/C][/ROW]
[ROW][C]0.37[/C][C]435.937437138315[/C][C]2.87885587639196[/C][/ROW]
[ROW][C]0.38[/C][C]436.484204916138[/C][C]2.89680961973395[/C][/ROW]
[ROW][C]0.39[/C][C]437.030540651524[/C][C]2.91183040169428[/C][/ROW]
[ROW][C]0.4[/C][C]437.576191477388[/C][C]2.92208833661374[/C][/ROW]
[ROW][C]0.41[/C][C]438.120481944611[/C][C]2.92518976005408[/C][/ROW]
[ROW][C]0.42[/C][C]438.662484947718[/C][C]2.9206026264006[/C][/ROW]
[ROW][C]0.43[/C][C]439.201185003586[/C][C]2.90902830495814[/C][/ROW]
[ROW][C]0.44[/C][C]439.73562926373[/C][C]2.88987391547505[/C][/ROW]
[ROW][C]0.45[/C][C]440.265058862967[/C][C]2.86511821852203[/C][/ROW]
[ROW][C]0.46[/C][C]440.789010173084[/C][C]2.83701804840929[/C][/ROW]
[ROW][C]0.47[/C][C]441.3073744187[/C][C]2.80775178897185[/C][/ROW]
[ROW][C]0.48[/C][C]441.820406450171[/C][C]2.78094375246689[/C][/ROW]
[ROW][C]0.49[/C][C]442.32867941223[/C][C]2.75708445700361[/C][/ROW]
[ROW][C]0.5[/C][C]442.832990307578[/C][C]2.73863962021354[/C][/ROW]
[ROW][C]0.51[/C][C]443.334229832601[/C][C]2.72467195902386[/C][/ROW]
[ROW][C]0.52[/C][C]443.833236115391[/C][C]2.71572604644429[/C][/ROW]
[ROW][C]0.53[/C][C]444.330654622531[/C][C]2.70844720365603[/C][/ROW]
[ROW][C]0.54[/C][C]444.826825180295[/C][C]2.70156488523283[/C][/ROW]
[ROW][C]0.55[/C][C]445.321712485446[/C][C]2.69269481470862[/C][/ROW]
[ROW][C]0.56[/C][C]445.814889937611[/C][C]2.67907093175677[/C][/ROW]
[ROW][C]0.57[/C][C]446.305579382927[/C][C]2.65838004766358[/C][/ROW]
[ROW][C]0.58[/C][C]446.792742305933[/C][C]2.62999357242296[/C][/ROW]
[ROW][C]0.59[/C][C]447.275211606404[/C][C]2.59267821069897[/C][/ROW]
[ROW][C]0.6[/C][C]447.751847643951[/C][C]2.5472578340469[/C][/ROW]
[ROW][C]0.61[/C][C]448.221698201029[/C][C]2.49574019636024[/C][/ROW]
[ROW][C]0.62[/C][C]448.684140250906[/C][C]2.43957048602288[/C][/ROW]
[ROW][C]0.63[/C][C]449.138982993501[/C][C]2.38228278961119[/C][/ROW]
[ROW][C]0.64[/C][C]449.586517351695[/C][C]2.32686541194747[/C][/ROW]
[ROW][C]0.65[/C][C]450.027506912536[/C][C]2.27647210864551[/C][/ROW]
[ROW][C]0.66[/C][C]450.463127661512[/C][C]2.23263761294606[/C][/ROW]
[ROW][C]0.67[/C][C]450.894875875403[/C][C]2.19714638948999[/C][/ROW]
[ROW][C]0.68[/C][C]451.324471491031[/C][C]2.17051091466469[/C][/ROW]
[ROW][C]0.69[/C][C]451.753784865684[/C][C]2.15258351616123[/C][/ROW]
[ROW][C]0.7[/C][C]452.18480673021[/C][C]2.14277170141183[/C][/ROW]
[ROW][C]0.71[/C][C]452.619666071905[/C][C]2.14097360442727[/C][/ROW]
[ROW][C]0.72[/C][C]453.060683830755[/C][C]2.14820680246657[/C][/ROW]
[ROW][C]0.73[/C][C]453.510439117378[/C][C]2.16508563917235[/C][/ROW]
[ROW][C]0.74[/C][C]453.971826467043[/C][C]2.19357325678827[/C][/ROW]
[ROW][C]0.75[/C][C]454.448101179509[/C][C]2.23497785577816[/C][/ROW]
[ROW][C]0.76[/C][C]454.942941858823[/C][C]2.29021806087967[/C][/ROW]
[ROW][C]0.77[/C][C]455.460592524945[/C][C]2.35944306326189[/C][/ROW]
[ROW][C]0.78[/C][C]456.006160091854[/C][C]2.44459311349035[/C][/ROW]
[ROW][C]0.79[/C][C]456.586111506531[/C][C]2.5483468609858[/C][/ROW]
[ROW][C]0.8[/C][C]457.208919428959[/C][C]2.67826163057368[/C][/ROW]
[ROW][C]0.81[/C][C]457.885648681052[/C][C]2.84517583987181[/C][/ROW]
[ROW][C]0.82[/C][C]458.630099363012[/C][C]3.06240507326631[/C][/ROW]
[ROW][C]0.83[/C][C]459.458016222267[/C][C]3.33954231113945[/C][/ROW]
[ROW][C]0.84[/C][C]460.384961693552[/C][C]3.6751369286374[/C][/ROW]
[ROW][C]0.85[/C][C]461.422840024553[/C][C]4.04730716816377[/C][/ROW]
[ROW][C]0.86[/C][C]462.575757042416[/C][C]4.41278924493131[/C][/ROW]
[ROW][C]0.87[/C][C]463.836713433009[/C][C]4.71265398272282[/C][/ROW]
[ROW][C]0.88[/C][C]465.187138948019[/C][C]4.88831451253051[/C][/ROW]
[ROW][C]0.89[/C][C]466.600940676077[/C][C]4.90289817528612[/C][/ROW]
[ROW][C]0.9[/C][C]468.053196202275[/C][C]4.76356562382605[/C][/ROW]
[ROW][C]0.91[/C][C]469.531100294903[/C][C]4.53042436017138[/C][/ROW]
[ROW][C]0.92[/C][C]471.042398315785[/C][C]4.3039734963292[/C][/ROW]
[ROW][C]0.93[/C][C]472.616171750686[/C][C]4.17809992935081[/C][/ROW]
[ROW][C]0.94[/C][C]474.294099798787[/C][C]4.17286754173049[/C][/ROW]
[ROW][C]0.95[/C][C]476.116591861727[/C][C]4.21002790669011[/C][/ROW]
[ROW][C]0.96[/C][C]478.111676301777[/C][C]4.17030775897006[/C][/ROW]
[ROW][C]0.97[/C][C]480.28272394472[/C][C]3.99567771870294[/C][/ROW]
[ROW][C]0.98[/C][C]482.557346381171[/C][C]3.78368990776687[/C][/ROW]
[ROW][C]0.99[/C][C]484.654458218035[/C][C]3.7658614154708[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238751&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238751&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
0.01386.802279938665.02354934771708
0.02389.5434831576394.91726334775508
0.03392.289006342824.31844430547619
0.04394.5716374106133.5443824120296
0.05396.3759858751433.17755296945915
0.06397.8986088155123.47561469859989
0.07399.3576543552234.20649188259219
0.08400.9001591410795.04382755058716
0.09402.5838790932845.77910987979052
0.1404.3991730247286.31932807252104
0.11406.3024079472766.66007919507777
0.12408.2437635011166.84982204174352
0.13410.1830309832346.95020259842183
0.14412.0940871323067.00771791329503
0.15413.9620345698487.03657546668159
0.16415.7775559107077.0237521022471
0.17417.5319604675416.94512292635255
0.18419.2146874409966.78019200001415
0.19420.813422518616.52273070760044
0.2422.3159452888956.18281449252704
0.21423.7124816059745.78471945148337
0.22424.997546997565.35683814431543
0.23426.1707575560774.92862786367033
0.24427.2365822051444.52306858518424
0.25428.2033418324944.15650848317145
0.26429.081876449913.83683378725284
0.27429.8842449600533.56714450543613
0.28430.6226787162473.34712476385407
0.29431.3088604779463.17325775416733
0.3431.9534943714523.04224679193813
0.31432.5660846219182.94924981226903
0.32433.154840250342.88911073486213
0.33433.7266477666762.85639249616204
0.34434.2870833930332.84470394298661
0.35434.840457518042.84797152129482
0.36435.3898928930912.86130326259756
0.37435.9374371383152.87885587639196
0.38436.4842049161382.89680961973395
0.39437.0305406515242.91183040169428
0.4437.5761914773882.92208833661374
0.41438.1204819446112.92518976005408
0.42438.6624849477182.9206026264006
0.43439.2011850035862.90902830495814
0.44439.735629263732.88987391547505
0.45440.2650588629672.86511821852203
0.46440.7890101730842.83701804840929
0.47441.30737441872.80775178897185
0.48441.8204064501712.78094375246689
0.49442.328679412232.75708445700361
0.5442.8329903075782.73863962021354
0.51443.3342298326012.72467195902386
0.52443.8332361153912.71572604644429
0.53444.3306546225312.70844720365603
0.54444.8268251802952.70156488523283
0.55445.3217124854462.69269481470862
0.56445.8148899376112.67907093175677
0.57446.3055793829272.65838004766358
0.58446.7927423059332.62999357242296
0.59447.2752116064042.59267821069897
0.6447.7518476439512.5472578340469
0.61448.2216982010292.49574019636024
0.62448.6841402509062.43957048602288
0.63449.1389829935012.38228278961119
0.64449.5865173516952.32686541194747
0.65450.0275069125362.27647210864551
0.66450.4631276615122.23263761294606
0.67450.8948758754032.19714638948999
0.68451.3244714910312.17051091466469
0.69451.7537848656842.15258351616123
0.7452.184806730212.14277170141183
0.71452.6196660719052.14097360442727
0.72453.0606838307552.14820680246657
0.73453.5104391173782.16508563917235
0.74453.9718264670432.19357325678827
0.75454.4481011795092.23497785577816
0.76454.9429418588232.29021806087967
0.77455.4605925249452.35944306326189
0.78456.0061600918542.44459311349035
0.79456.5861115065312.5483468609858
0.8457.2089194289592.67826163057368
0.81457.8856486810522.84517583987181
0.82458.6300993630123.06240507326631
0.83459.4580162222673.33954231113945
0.84460.3849616935523.6751369286374
0.85461.4228400245534.04730716816377
0.86462.5757570424164.41278924493131
0.87463.8367134330094.71265398272282
0.88465.1871389480194.88831451253051
0.89466.6009406760774.90289817528612
0.9468.0531962022754.76356562382605
0.91469.5311002949034.53042436017138
0.92471.0423983157854.3039734963292
0.93472.6161717506864.17809992935081
0.94474.2940997987874.17286754173049
0.95476.1165918617274.21002790669011
0.96478.1116763017774.17030775897006
0.97480.282723944723.99567771870294
0.98482.5573463811713.78368990776687
0.99484.6544582180353.7658614154708


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')