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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, 12 Aug 2012 12:30:14 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Aug/12/t13447890905hqjt7q0ned608l.htm/, Retrieved Sat, 27 Apr 2024 15:15:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169263, Retrieved Sat, 27 Apr 2024 15:15:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVerbraken Frederik
Estimated Impact132

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] [TIJDREEKS B - STAP 7] [2012-08-12 16:30:14] [31886bd2f92a612f059dd2285dd41f3c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
500
510
590
490
540
530
550
510
390
480
530
690
570
460
540
510
520
520
580
480
410
530
540
670
570
400
510
570
470
640
650
500
340
450
600
680
630
480
400
520
470
610
670
500
290
470
660
650
570
500
400
500
340
530
680
480
340
460
630
650
550
470
240
430
390
570
700
620
280
480
560
560
560
550
140
380
390
500
750
680
280
360
590
580
490
610
170
320
440
510
770
660
300
350
580
620
490
640
150
290
370
560
780
690
310
280
590
590

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169263&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169263&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169263&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01151.90621818755824.1483617128767
0.02177.59858607586844.5712418882539
0.03209.87107877230750.6201195477777
0.04239.73828771025642.2138076874625
0.05262.24980883968729.865213795192
0.06277.58997080674521.5392798755225
0.07288.44295299254719.0645668533844
0.08297.40103003386320.1545943906336
0.09305.96861254008222.2126631393615
0.1314.67959164078523.9233309436041
0.11323.53788455731824.916489052398
0.12332.37581481721725.316541808125
0.13341.04036679858925.3926644781685
0.14349.44581792183625.326610509252
0.15357.55929011951625.1608551727155
0.16365.37456701221124.8869566900726
0.17372.90260316802224.5619578948125
0.18380.179359795124.3469262317401
0.19387.2754767679324.4506334070922
0.2394.29218666272325.0114289597731
0.21401.3386297488226.0010351882437
0.22408.49798979284627.2073114319179
0.23415.79641094193128.3063485058491
0.24423.18734028733228.9656097885135
0.25430.5570300320528.9423108780306
0.26437.74860275999528.1367783522332
0.27444.59602561318826.60245352
0.28450.9574003663224.5178267631041
0.29456.73895523340122.1326053650627
0.3461.9054146429919.7067081498896
0.31466.47700920768417.4625738558842
0.32470.51671553184815.553435410641
0.33474.11273109997814.0516809446022
0.34477.36089144536212.9541149687907
0.35480.35040443150812.2019845044763
0.36483.15464097895611.7041066533602
0.37485.8272850854911.3651325105915
0.38488.40311743455911.1053257240395
0.39490.90209352468910.8720628479469
0.4493.3351156210110.6458928876196
0.41495.70993320953410.4329639048351
0.42498.03589784452210.2597291715313
0.43500.32678273569410.1580634627727
0.44502.6014479537910.1566091544883
0.45504.88265335622410.2699822053784
0.46507.19467560155410.4981352793491
0.47509.56051589403210.8251615141186
0.48511.99940728798811.2256228510792
0.49514.52511174094311.6671464718734
0.5517.14521958392412.1187967220445
0.51519.86139647934712.5544031210541
0.52522.67031299055312.9549693694577
0.53525.56487171384813.3065210475358
0.54528.53533716580113.6030892807284
0.55531.57007759843113.8401766195321
0.56534.65582046378314.0119214683709
0.57537.7775472194214.108869934759
0.58540.91833310974914.1222562182105
0.59544.05950764078214.0418732983459
0.6547.18144335770613.8639188861657
0.61550.26509556017913.5930836982868
0.62553.29417486674313.2457190269655
0.63556.25761408411112.8512652955348
0.64559.15185603736412.4464950589443
0.65561.98247944208112.0779308338352
0.66564.76480471924111.78974793649
0.67567.52335768061511.6211856975701
0.68570.29035593181111.6015040201573
0.69573.10362274106211.7454781035856
0.7576.00441193038812.0554447874169
0.71579.03546893739612.52617350225
0.72582.23928874618113.1472023283608
0.73585.65613436515913.9046899235241
0.74589.3212130100414.7704441731085
0.75593.26067667262615.6995171554018
0.76597.48679900147316.6242852249677
0.77601.99347295927417.458869141783
0.78606.75361207002318.1148365350606
0.79611.71979738899618.517806496006
0.8616.82865717296418.6228289157459
0.81622.00844374079518.4221481073569
0.82627.1885860394717.944722428309
0.83632.30978143888317.2514706084419
0.84637.33307558916716.4288565239957
0.85642.24588699409515.5797241376179
0.86647.06220073836714.8018430727615
0.87651.81433854329514.1566054242256
0.88656.53644679838813.6317154439656
0.89661.24582081173713.1357504240941
0.9665.93588831699812.5468484474111
0.91670.60108089682311.8156642754963
0.92675.31754786713811.1023576513685
0.93680.40417592537310.9458967669644
0.94686.66427251182712.4545094655126
0.95695.57985321503217.0452610952915
0.96709.0290468301724.7607135364231
0.97727.9362464831.8353782935247
0.98750.16526940406930.9894969657618
0.99769.82608624581319.4701678288314

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 151.906218187558 & 24.1483617128767 \tabularnewline
0.02 & 177.598586075868 & 44.5712418882539 \tabularnewline
0.03 & 209.871078772307 & 50.6201195477777 \tabularnewline
0.04 & 239.738287710256 & 42.2138076874625 \tabularnewline
0.05 & 262.249808839687 & 29.865213795192 \tabularnewline
0.06 & 277.589970806745 & 21.5392798755225 \tabularnewline
0.07 & 288.442952992547 & 19.0645668533844 \tabularnewline
0.08 & 297.401030033863 & 20.1545943906336 \tabularnewline
0.09 & 305.968612540082 & 22.2126631393615 \tabularnewline
0.1 & 314.679591640785 & 23.9233309436041 \tabularnewline
0.11 & 323.537884557318 & 24.916489052398 \tabularnewline
0.12 & 332.375814817217 & 25.316541808125 \tabularnewline
0.13 & 341.040366798589 & 25.3926644781685 \tabularnewline
0.14 & 349.445817921836 & 25.326610509252 \tabularnewline
0.15 & 357.559290119516 & 25.1608551727155 \tabularnewline
0.16 & 365.374567012211 & 24.8869566900726 \tabularnewline
0.17 & 372.902603168022 & 24.5619578948125 \tabularnewline
0.18 & 380.1793597951 & 24.3469262317401 \tabularnewline
0.19 & 387.27547676793 & 24.4506334070922 \tabularnewline
0.2 & 394.292186662723 & 25.0114289597731 \tabularnewline
0.21 & 401.33862974882 & 26.0010351882437 \tabularnewline
0.22 & 408.497989792846 & 27.2073114319179 \tabularnewline
0.23 & 415.796410941931 & 28.3063485058491 \tabularnewline
0.24 & 423.187340287332 & 28.9656097885135 \tabularnewline
0.25 & 430.55703003205 & 28.9423108780306 \tabularnewline
0.26 & 437.748602759995 & 28.1367783522332 \tabularnewline
0.27 & 444.596025613188 & 26.60245352 \tabularnewline
0.28 & 450.95740036632 & 24.5178267631041 \tabularnewline
0.29 & 456.738955233401 & 22.1326053650627 \tabularnewline
0.3 & 461.90541464299 & 19.7067081498896 \tabularnewline
0.31 & 466.477009207684 & 17.4625738558842 \tabularnewline
0.32 & 470.516715531848 & 15.553435410641 \tabularnewline
0.33 & 474.112731099978 & 14.0516809446022 \tabularnewline
0.34 & 477.360891445362 & 12.9541149687907 \tabularnewline
0.35 & 480.350404431508 & 12.2019845044763 \tabularnewline
0.36 & 483.154640978956 & 11.7041066533602 \tabularnewline
0.37 & 485.82728508549 & 11.3651325105915 \tabularnewline
0.38 & 488.403117434559 & 11.1053257240395 \tabularnewline
0.39 & 490.902093524689 & 10.8720628479469 \tabularnewline
0.4 & 493.33511562101 & 10.6458928876196 \tabularnewline
0.41 & 495.709933209534 & 10.4329639048351 \tabularnewline
0.42 & 498.035897844522 & 10.2597291715313 \tabularnewline
0.43 & 500.326782735694 & 10.1580634627727 \tabularnewline
0.44 & 502.60144795379 & 10.1566091544883 \tabularnewline
0.45 & 504.882653356224 & 10.2699822053784 \tabularnewline
0.46 & 507.194675601554 & 10.4981352793491 \tabularnewline
0.47 & 509.560515894032 & 10.8251615141186 \tabularnewline
0.48 & 511.999407287988 & 11.2256228510792 \tabularnewline
0.49 & 514.525111740943 & 11.6671464718734 \tabularnewline
0.5 & 517.145219583924 & 12.1187967220445 \tabularnewline
0.51 & 519.861396479347 & 12.5544031210541 \tabularnewline
0.52 & 522.670312990553 & 12.9549693694577 \tabularnewline
0.53 & 525.564871713848 & 13.3065210475358 \tabularnewline
0.54 & 528.535337165801 & 13.6030892807284 \tabularnewline
0.55 & 531.570077598431 & 13.8401766195321 \tabularnewline
0.56 & 534.655820463783 & 14.0119214683709 \tabularnewline
0.57 & 537.77754721942 & 14.108869934759 \tabularnewline
0.58 & 540.918333109749 & 14.1222562182105 \tabularnewline
0.59 & 544.059507640782 & 14.0418732983459 \tabularnewline
0.6 & 547.181443357706 & 13.8639188861657 \tabularnewline
0.61 & 550.265095560179 & 13.5930836982868 \tabularnewline
0.62 & 553.294174866743 & 13.2457190269655 \tabularnewline
0.63 & 556.257614084111 & 12.8512652955348 \tabularnewline
0.64 & 559.151856037364 & 12.4464950589443 \tabularnewline
0.65 & 561.982479442081 & 12.0779308338352 \tabularnewline
0.66 & 564.764804719241 & 11.78974793649 \tabularnewline
0.67 & 567.523357680615 & 11.6211856975701 \tabularnewline
0.68 & 570.290355931811 & 11.6015040201573 \tabularnewline
0.69 & 573.103622741062 & 11.7454781035856 \tabularnewline
0.7 & 576.004411930388 & 12.0554447874169 \tabularnewline
0.71 & 579.035468937396 & 12.52617350225 \tabularnewline
0.72 & 582.239288746181 & 13.1472023283608 \tabularnewline
0.73 & 585.656134365159 & 13.9046899235241 \tabularnewline
0.74 & 589.32121301004 & 14.7704441731085 \tabularnewline
0.75 & 593.260676672626 & 15.6995171554018 \tabularnewline
0.76 & 597.486799001473 & 16.6242852249677 \tabularnewline
0.77 & 601.993472959274 & 17.458869141783 \tabularnewline
0.78 & 606.753612070023 & 18.1148365350606 \tabularnewline
0.79 & 611.719797388996 & 18.517806496006 \tabularnewline
0.8 & 616.828657172964 & 18.6228289157459 \tabularnewline
0.81 & 622.008443740795 & 18.4221481073569 \tabularnewline
0.82 & 627.18858603947 & 17.944722428309 \tabularnewline
0.83 & 632.309781438883 & 17.2514706084419 \tabularnewline
0.84 & 637.333075589167 & 16.4288565239957 \tabularnewline
0.85 & 642.245886994095 & 15.5797241376179 \tabularnewline
0.86 & 647.062200738367 & 14.8018430727615 \tabularnewline
0.87 & 651.814338543295 & 14.1566054242256 \tabularnewline
0.88 & 656.536446798388 & 13.6317154439656 \tabularnewline
0.89 & 661.245820811737 & 13.1357504240941 \tabularnewline
0.9 & 665.935888316998 & 12.5468484474111 \tabularnewline
0.91 & 670.601080896823 & 11.8156642754963 \tabularnewline
0.92 & 675.317547867138 & 11.1023576513685 \tabularnewline
0.93 & 680.404175925373 & 10.9458967669644 \tabularnewline
0.94 & 686.664272511827 & 12.4545094655126 \tabularnewline
0.95 & 695.579853215032 & 17.0452610952915 \tabularnewline
0.96 & 709.02904683017 & 24.7607135364231 \tabularnewline
0.97 & 727.93624648 & 31.8353782935247 \tabularnewline
0.98 & 750.165269404069 & 30.9894969657618 \tabularnewline
0.99 & 769.826086245813 & 19.4701678288314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169263&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]151.906218187558[/C][C]24.1483617128767[/C][/ROW]
[ROW][C]0.02[/C][C]177.598586075868[/C][C]44.5712418882539[/C][/ROW]
[ROW][C]0.03[/C][C]209.871078772307[/C][C]50.6201195477777[/C][/ROW]
[ROW][C]0.04[/C][C]239.738287710256[/C][C]42.2138076874625[/C][/ROW]
[ROW][C]0.05[/C][C]262.249808839687[/C][C]29.865213795192[/C][/ROW]
[ROW][C]0.06[/C][C]277.589970806745[/C][C]21.5392798755225[/C][/ROW]
[ROW][C]0.07[/C][C]288.442952992547[/C][C]19.0645668533844[/C][/ROW]
[ROW][C]0.08[/C][C]297.401030033863[/C][C]20.1545943906336[/C][/ROW]
[ROW][C]0.09[/C][C]305.968612540082[/C][C]22.2126631393615[/C][/ROW]
[ROW][C]0.1[/C][C]314.679591640785[/C][C]23.9233309436041[/C][/ROW]
[ROW][C]0.11[/C][C]323.537884557318[/C][C]24.916489052398[/C][/ROW]
[ROW][C]0.12[/C][C]332.375814817217[/C][C]25.316541808125[/C][/ROW]
[ROW][C]0.13[/C][C]341.040366798589[/C][C]25.3926644781685[/C][/ROW]
[ROW][C]0.14[/C][C]349.445817921836[/C][C]25.326610509252[/C][/ROW]
[ROW][C]0.15[/C][C]357.559290119516[/C][C]25.1608551727155[/C][/ROW]
[ROW][C]0.16[/C][C]365.374567012211[/C][C]24.8869566900726[/C][/ROW]
[ROW][C]0.17[/C][C]372.902603168022[/C][C]24.5619578948125[/C][/ROW]
[ROW][C]0.18[/C][C]380.1793597951[/C][C]24.3469262317401[/C][/ROW]
[ROW][C]0.19[/C][C]387.27547676793[/C][C]24.4506334070922[/C][/ROW]
[ROW][C]0.2[/C][C]394.292186662723[/C][C]25.0114289597731[/C][/ROW]
[ROW][C]0.21[/C][C]401.33862974882[/C][C]26.0010351882437[/C][/ROW]
[ROW][C]0.22[/C][C]408.497989792846[/C][C]27.2073114319179[/C][/ROW]
[ROW][C]0.23[/C][C]415.796410941931[/C][C]28.3063485058491[/C][/ROW]
[ROW][C]0.24[/C][C]423.187340287332[/C][C]28.9656097885135[/C][/ROW]
[ROW][C]0.25[/C][C]430.55703003205[/C][C]28.9423108780306[/C][/ROW]
[ROW][C]0.26[/C][C]437.748602759995[/C][C]28.1367783522332[/C][/ROW]
[ROW][C]0.27[/C][C]444.596025613188[/C][C]26.60245352[/C][/ROW]
[ROW][C]0.28[/C][C]450.95740036632[/C][C]24.5178267631041[/C][/ROW]
[ROW][C]0.29[/C][C]456.738955233401[/C][C]22.1326053650627[/C][/ROW]
[ROW][C]0.3[/C][C]461.90541464299[/C][C]19.7067081498896[/C][/ROW]
[ROW][C]0.31[/C][C]466.477009207684[/C][C]17.4625738558842[/C][/ROW]
[ROW][C]0.32[/C][C]470.516715531848[/C][C]15.553435410641[/C][/ROW]
[ROW][C]0.33[/C][C]474.112731099978[/C][C]14.0516809446022[/C][/ROW]
[ROW][C]0.34[/C][C]477.360891445362[/C][C]12.9541149687907[/C][/ROW]
[ROW][C]0.35[/C][C]480.350404431508[/C][C]12.2019845044763[/C][/ROW]
[ROW][C]0.36[/C][C]483.154640978956[/C][C]11.7041066533602[/C][/ROW]
[ROW][C]0.37[/C][C]485.82728508549[/C][C]11.3651325105915[/C][/ROW]
[ROW][C]0.38[/C][C]488.403117434559[/C][C]11.1053257240395[/C][/ROW]
[ROW][C]0.39[/C][C]490.902093524689[/C][C]10.8720628479469[/C][/ROW]
[ROW][C]0.4[/C][C]493.33511562101[/C][C]10.6458928876196[/C][/ROW]
[ROW][C]0.41[/C][C]495.709933209534[/C][C]10.4329639048351[/C][/ROW]
[ROW][C]0.42[/C][C]498.035897844522[/C][C]10.2597291715313[/C][/ROW]
[ROW][C]0.43[/C][C]500.326782735694[/C][C]10.1580634627727[/C][/ROW]
[ROW][C]0.44[/C][C]502.60144795379[/C][C]10.1566091544883[/C][/ROW]
[ROW][C]0.45[/C][C]504.882653356224[/C][C]10.2699822053784[/C][/ROW]
[ROW][C]0.46[/C][C]507.194675601554[/C][C]10.4981352793491[/C][/ROW]
[ROW][C]0.47[/C][C]509.560515894032[/C][C]10.8251615141186[/C][/ROW]
[ROW][C]0.48[/C][C]511.999407287988[/C][C]11.2256228510792[/C][/ROW]
[ROW][C]0.49[/C][C]514.525111740943[/C][C]11.6671464718734[/C][/ROW]
[ROW][C]0.5[/C][C]517.145219583924[/C][C]12.1187967220445[/C][/ROW]
[ROW][C]0.51[/C][C]519.861396479347[/C][C]12.5544031210541[/C][/ROW]
[ROW][C]0.52[/C][C]522.670312990553[/C][C]12.9549693694577[/C][/ROW]
[ROW][C]0.53[/C][C]525.564871713848[/C][C]13.3065210475358[/C][/ROW]
[ROW][C]0.54[/C][C]528.535337165801[/C][C]13.6030892807284[/C][/ROW]
[ROW][C]0.55[/C][C]531.570077598431[/C][C]13.8401766195321[/C][/ROW]
[ROW][C]0.56[/C][C]534.655820463783[/C][C]14.0119214683709[/C][/ROW]
[ROW][C]0.57[/C][C]537.77754721942[/C][C]14.108869934759[/C][/ROW]
[ROW][C]0.58[/C][C]540.918333109749[/C][C]14.1222562182105[/C][/ROW]
[ROW][C]0.59[/C][C]544.059507640782[/C][C]14.0418732983459[/C][/ROW]
[ROW][C]0.6[/C][C]547.181443357706[/C][C]13.8639188861657[/C][/ROW]
[ROW][C]0.61[/C][C]550.265095560179[/C][C]13.5930836982868[/C][/ROW]
[ROW][C]0.62[/C][C]553.294174866743[/C][C]13.2457190269655[/C][/ROW]
[ROW][C]0.63[/C][C]556.257614084111[/C][C]12.8512652955348[/C][/ROW]
[ROW][C]0.64[/C][C]559.151856037364[/C][C]12.4464950589443[/C][/ROW]
[ROW][C]0.65[/C][C]561.982479442081[/C][C]12.0779308338352[/C][/ROW]
[ROW][C]0.66[/C][C]564.764804719241[/C][C]11.78974793649[/C][/ROW]
[ROW][C]0.67[/C][C]567.523357680615[/C][C]11.6211856975701[/C][/ROW]
[ROW][C]0.68[/C][C]570.290355931811[/C][C]11.6015040201573[/C][/ROW]
[ROW][C]0.69[/C][C]573.103622741062[/C][C]11.7454781035856[/C][/ROW]
[ROW][C]0.7[/C][C]576.004411930388[/C][C]12.0554447874169[/C][/ROW]
[ROW][C]0.71[/C][C]579.035468937396[/C][C]12.52617350225[/C][/ROW]
[ROW][C]0.72[/C][C]582.239288746181[/C][C]13.1472023283608[/C][/ROW]
[ROW][C]0.73[/C][C]585.656134365159[/C][C]13.9046899235241[/C][/ROW]
[ROW][C]0.74[/C][C]589.32121301004[/C][C]14.7704441731085[/C][/ROW]
[ROW][C]0.75[/C][C]593.260676672626[/C][C]15.6995171554018[/C][/ROW]
[ROW][C]0.76[/C][C]597.486799001473[/C][C]16.6242852249677[/C][/ROW]
[ROW][C]0.77[/C][C]601.993472959274[/C][C]17.458869141783[/C][/ROW]
[ROW][C]0.78[/C][C]606.753612070023[/C][C]18.1148365350606[/C][/ROW]
[ROW][C]0.79[/C][C]611.719797388996[/C][C]18.517806496006[/C][/ROW]
[ROW][C]0.8[/C][C]616.828657172964[/C][C]18.6228289157459[/C][/ROW]
[ROW][C]0.81[/C][C]622.008443740795[/C][C]18.4221481073569[/C][/ROW]
[ROW][C]0.82[/C][C]627.18858603947[/C][C]17.944722428309[/C][/ROW]
[ROW][C]0.83[/C][C]632.309781438883[/C][C]17.2514706084419[/C][/ROW]
[ROW][C]0.84[/C][C]637.333075589167[/C][C]16.4288565239957[/C][/ROW]
[ROW][C]0.85[/C][C]642.245886994095[/C][C]15.5797241376179[/C][/ROW]
[ROW][C]0.86[/C][C]647.062200738367[/C][C]14.8018430727615[/C][/ROW]
[ROW][C]0.87[/C][C]651.814338543295[/C][C]14.1566054242256[/C][/ROW]
[ROW][C]0.88[/C][C]656.536446798388[/C][C]13.6317154439656[/C][/ROW]
[ROW][C]0.89[/C][C]661.245820811737[/C][C]13.1357504240941[/C][/ROW]
[ROW][C]0.9[/C][C]665.935888316998[/C][C]12.5468484474111[/C][/ROW]
[ROW][C]0.91[/C][C]670.601080896823[/C][C]11.8156642754963[/C][/ROW]
[ROW][C]0.92[/C][C]675.317547867138[/C][C]11.1023576513685[/C][/ROW]
[ROW][C]0.93[/C][C]680.404175925373[/C][C]10.9458967669644[/C][/ROW]
[ROW][C]0.94[/C][C]686.664272511827[/C][C]12.4545094655126[/C][/ROW]
[ROW][C]0.95[/C][C]695.579853215032[/C][C]17.0452610952915[/C][/ROW]
[ROW][C]0.96[/C][C]709.02904683017[/C][C]24.7607135364231[/C][/ROW]
[ROW][C]0.97[/C][C]727.93624648[/C][C]31.8353782935247[/C][/ROW]
[ROW][C]0.98[/C][C]750.165269404069[/C][C]30.9894969657618[/C][/ROW]
[ROW][C]0.99[/C][C]769.826086245813[/C][C]19.4701678288314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169263&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169263&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
0.01151.90621818755824.1483617128767
0.02177.59858607586844.5712418882539
0.03209.87107877230750.6201195477777
0.04239.73828771025642.2138076874625
0.05262.24980883968729.865213795192
0.06277.58997080674521.5392798755225
0.07288.44295299254719.0645668533844
0.08297.40103003386320.1545943906336
0.09305.96861254008222.2126631393615
0.1314.67959164078523.9233309436041
0.11323.53788455731824.916489052398
0.12332.37581481721725.316541808125
0.13341.04036679858925.3926644781685
0.14349.44581792183625.326610509252
0.15357.55929011951625.1608551727155
0.16365.37456701221124.8869566900726
0.17372.90260316802224.5619578948125
0.18380.179359795124.3469262317401
0.19387.2754767679324.4506334070922
0.2394.29218666272325.0114289597731
0.21401.3386297488226.0010351882437
0.22408.49798979284627.2073114319179
0.23415.79641094193128.3063485058491
0.24423.18734028733228.9656097885135
0.25430.5570300320528.9423108780306
0.26437.74860275999528.1367783522332
0.27444.59602561318826.60245352
0.28450.9574003663224.5178267631041
0.29456.73895523340122.1326053650627
0.3461.9054146429919.7067081498896
0.31466.47700920768417.4625738558842
0.32470.51671553184815.553435410641
0.33474.11273109997814.0516809446022
0.34477.36089144536212.9541149687907
0.35480.35040443150812.2019845044763
0.36483.15464097895611.7041066533602
0.37485.8272850854911.3651325105915
0.38488.40311743455911.1053257240395
0.39490.90209352468910.8720628479469
0.4493.3351156210110.6458928876196
0.41495.70993320953410.4329639048351
0.42498.03589784452210.2597291715313
0.43500.32678273569410.1580634627727
0.44502.6014479537910.1566091544883
0.45504.88265335622410.2699822053784
0.46507.19467560155410.4981352793491
0.47509.56051589403210.8251615141186
0.48511.99940728798811.2256228510792
0.49514.52511174094311.6671464718734
0.5517.14521958392412.1187967220445
0.51519.86139647934712.5544031210541
0.52522.67031299055312.9549693694577
0.53525.56487171384813.3065210475358
0.54528.53533716580113.6030892807284
0.55531.57007759843113.8401766195321
0.56534.65582046378314.0119214683709
0.57537.7775472194214.108869934759
0.58540.91833310974914.1222562182105
0.59544.05950764078214.0418732983459
0.6547.18144335770613.8639188861657
0.61550.26509556017913.5930836982868
0.62553.29417486674313.2457190269655
0.63556.25761408411112.8512652955348
0.64559.15185603736412.4464950589443
0.65561.98247944208112.0779308338352
0.66564.76480471924111.78974793649
0.67567.52335768061511.6211856975701
0.68570.29035593181111.6015040201573
0.69573.10362274106211.7454781035856
0.7576.00441193038812.0554447874169
0.71579.03546893739612.52617350225
0.72582.23928874618113.1472023283608
0.73585.65613436515913.9046899235241
0.74589.3212130100414.7704441731085
0.75593.26067667262615.6995171554018
0.76597.48679900147316.6242852249677
0.77601.99347295927417.458869141783
0.78606.75361207002318.1148365350606
0.79611.71979738899618.517806496006
0.8616.82865717296418.6228289157459
0.81622.00844374079518.4221481073569
0.82627.1885860394717.944722428309
0.83632.30978143888317.2514706084419
0.84637.33307558916716.4288565239957
0.85642.24588699409515.5797241376179
0.86647.06220073836714.8018430727615
0.87651.81433854329514.1566054242256
0.88656.53644679838813.6317154439656
0.89661.24582081173713.1357504240941
0.9665.93588831699812.5468484474111
0.91670.60108089682311.8156642754963
0.92675.31754786713811.1023576513685
0.93680.40417592537310.9458967669644
0.94686.66427251182712.4545094655126
0.95695.57985321503217.0452610952915
0.96709.0290468301724.7607135364231
0.97727.9362464831.8353782935247
0.98750.16526940406930.9894969657618
0.99769.82608624581319.4701678288314


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')