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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 08 Oct 2015 18:47:35 +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/2015/Oct/08/t1444326475s5imrntd9x8lrhf.htm/, Retrieved Thu, 16 May 2024 03:22:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281600, Retrieved Thu, 16 May 2024 03:22:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

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] [] [2015-10-08 17:47:35] [4535d628e97572fda841f25b347e529f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
340.7
343.5
345.3
346.9
349
351.4
353
355
360.1
364.7
366.5
369
369.9
370.8
374.5
378.4
381.3
383.5
387.6
391.7
395.4
399.3
403.3
406.6
410.5
413.5
418.7
421.7
422.8
425.8
427.6
431
434.3
437.6
440.4
443.5
446.2
446.2
449.7
454.2
458.4
461.1
464
466.2
468.7
471.8
474.9
477.5
480
482.8
485.7
488.5
492
495.1
498.5
502.2
502.1
510
515
520.4
525.2
530.1
534.5
538.5
544.4
548.4
551.9
554.9
558.1
561.3
564.4
567
568.7
570.9
572.5
574.6
577.1
580.9
583.3
586.5

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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281600&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281600&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281600&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 Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01341.745371550242.53243239324702
0.02343.3275951720012.47758504495976
0.03344.9944639248882.74682661412024
0.04346.634524018363.22894133429257
0.05348.3000257504733.83302719739884
0.06350.0547766132134.51756917706353
0.07351.9339462310245.24555089544374
0.08353.9447698852335.9544089182046
0.09356.0708865284936.56185420466852
0.1358.2772752679827.0017651509082
0.11360.5192663482257.25538109106488
0.12362.7549380910237.3629770103894
0.13364.9566179862237.40954036966811
0.14367.1172193210547.4907224658412
0.15369.2497461764247.6827789959761
0.16371.3812791563268.01855034385125
0.17373.5444712910178.49007044314819
0.18375.769619172689.06087635675424
0.19378.0792609287239.6862167103115
0.2380.48583609495610.321741755322
0.21382.99186981399910.9336432042462
0.22385.59166695696411.4957737980312
0.23388.27354128422311.9905534814783
0.24391.02192444347612.4051028306247
0.25393.81906669482612.7335136772437
0.26396.64631261636112.9715145082764
0.27399.48506839140313.1181529373312
0.28402.31759771944813.1788299783356
0.29405.12774022909213.1581728401821
0.3407.90158291875313.0686181042026
0.31410.62805839195712.9230869607227
0.32413.29940636261212.7390634595655
0.33415.91142258311712.5347691065564
0.34418.46343374366512.3284842369771
0.35420.95797543425412.1376535352264
0.36423.40020405600711.9736101978361
0.37425.79712750054911.8453838216723
0.38428.15677600432711.7544571613131
0.39430.48744039088811.7000112514988
0.4432.79707643721311.6781360620789
0.41435.09292006976911.6821490327938
0.42437.38129675256711.7087700025345
0.43439.66756074329911.7539298832357
0.44441.9560815310911.8138436558708
0.45444.25021015376211.8835318738137
0.46446.55219896410711.9590337737862
0.47448.86309736437612.032500452044
0.48451.18268344529612.0962212312286
0.49453.50950302671412.1423570043614
0.5455.84106935193812.1653711129634
0.51458.17423591688912.1612251007649
0.52460.50570670992912.1311809903791
0.53462.83260935229312.0802319404837
0.54465.15303973264912.015139705084
0.55467.46649589258911.945413983848
0.56469.77414951012111.8817166288922
0.57472.07894451435211.8325984515057
0.58474.38555135320311.8070546049961
0.59476.70023150818811.8130931808979
0.6479.0306738600611.8551745454003
0.61481.38585150582111.9382352395009
0.62483.7759181683512.0666837847508
0.63486.21212440957212.2454938958502
0.64488.70669497175112.4778922263565
0.65491.27258089439212.7665792682799
0.66493.92299480791313.1120810301868
0.67496.67066332639113.5106209775701
0.68499.5267881836313.95157718232
0.69502.49978866600614.4173578825033
0.7505.59398184920414.8833556410043
0.71508.80841702005215.3187651163742
0.72512.1360913516315.6919780931051
0.73515.56372335463815.9705702119719
0.74519.07215790969216.1294926920254
0.75522.63735189305716.1501013396237
0.76526.23178336733516.0242266137005
0.77529.82607404563915.7518613881732
0.78533.39062475665715.3403589778037
0.79536.89711763965914.8022216525325
0.8540.31979770170914.1562494006297
0.81543.6364749272813.4225205115552
0.82546.82918000545212.6249175954108
0.83549.88439450202511.787159207622
0.84552.79281513482710.9304854662123
0.85555.54874060221110.0727791768321
0.86558.149370426569.22581185252695
0.87560.59449152258.39644862105705
0.88562.8870758263637.59128922501831
0.89565.0351238095536.82306499950018
0.9567.0546406222356.11380887771228
0.91568.9729633500225.49632042739555
0.92570.8308309685595.00715693308074
0.93572.6807831895974.67329536307419
0.94574.5794317902984.48869982812048
0.95576.5735980877534.38546351914767
0.96578.6860066449714.23350040261028
0.97580.9064441297673.90294819577487
0.98583.1644772584043.42222397463999
0.99585.2136928474513.11136803957954

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 341.74537155024 & 2.53243239324702 \tabularnewline
0.02 & 343.327595172001 & 2.47758504495976 \tabularnewline
0.03 & 344.994463924888 & 2.74682661412024 \tabularnewline
0.04 & 346.63452401836 & 3.22894133429257 \tabularnewline
0.05 & 348.300025750473 & 3.83302719739884 \tabularnewline
0.06 & 350.054776613213 & 4.51756917706353 \tabularnewline
0.07 & 351.933946231024 & 5.24555089544374 \tabularnewline
0.08 & 353.944769885233 & 5.9544089182046 \tabularnewline
0.09 & 356.070886528493 & 6.56185420466852 \tabularnewline
0.1 & 358.277275267982 & 7.0017651509082 \tabularnewline
0.11 & 360.519266348225 & 7.25538109106488 \tabularnewline
0.12 & 362.754938091023 & 7.3629770103894 \tabularnewline
0.13 & 364.956617986223 & 7.40954036966811 \tabularnewline
0.14 & 367.117219321054 & 7.4907224658412 \tabularnewline
0.15 & 369.249746176424 & 7.6827789959761 \tabularnewline
0.16 & 371.381279156326 & 8.01855034385125 \tabularnewline
0.17 & 373.544471291017 & 8.49007044314819 \tabularnewline
0.18 & 375.76961917268 & 9.06087635675424 \tabularnewline
0.19 & 378.079260928723 & 9.6862167103115 \tabularnewline
0.2 & 380.485836094956 & 10.321741755322 \tabularnewline
0.21 & 382.991869813999 & 10.9336432042462 \tabularnewline
0.22 & 385.591666956964 & 11.4957737980312 \tabularnewline
0.23 & 388.273541284223 & 11.9905534814783 \tabularnewline
0.24 & 391.021924443476 & 12.4051028306247 \tabularnewline
0.25 & 393.819066694826 & 12.7335136772437 \tabularnewline
0.26 & 396.646312616361 & 12.9715145082764 \tabularnewline
0.27 & 399.485068391403 & 13.1181529373312 \tabularnewline
0.28 & 402.317597719448 & 13.1788299783356 \tabularnewline
0.29 & 405.127740229092 & 13.1581728401821 \tabularnewline
0.3 & 407.901582918753 & 13.0686181042026 \tabularnewline
0.31 & 410.628058391957 & 12.9230869607227 \tabularnewline
0.32 & 413.299406362612 & 12.7390634595655 \tabularnewline
0.33 & 415.911422583117 & 12.5347691065564 \tabularnewline
0.34 & 418.463433743665 & 12.3284842369771 \tabularnewline
0.35 & 420.957975434254 & 12.1376535352264 \tabularnewline
0.36 & 423.400204056007 & 11.9736101978361 \tabularnewline
0.37 & 425.797127500549 & 11.8453838216723 \tabularnewline
0.38 & 428.156776004327 & 11.7544571613131 \tabularnewline
0.39 & 430.487440390888 & 11.7000112514988 \tabularnewline
0.4 & 432.797076437213 & 11.6781360620789 \tabularnewline
0.41 & 435.092920069769 & 11.6821490327938 \tabularnewline
0.42 & 437.381296752567 & 11.7087700025345 \tabularnewline
0.43 & 439.667560743299 & 11.7539298832357 \tabularnewline
0.44 & 441.95608153109 & 11.8138436558708 \tabularnewline
0.45 & 444.250210153762 & 11.8835318738137 \tabularnewline
0.46 & 446.552198964107 & 11.9590337737862 \tabularnewline
0.47 & 448.863097364376 & 12.032500452044 \tabularnewline
0.48 & 451.182683445296 & 12.0962212312286 \tabularnewline
0.49 & 453.509503026714 & 12.1423570043614 \tabularnewline
0.5 & 455.841069351938 & 12.1653711129634 \tabularnewline
0.51 & 458.174235916889 & 12.1612251007649 \tabularnewline
0.52 & 460.505706709929 & 12.1311809903791 \tabularnewline
0.53 & 462.832609352293 & 12.0802319404837 \tabularnewline
0.54 & 465.153039732649 & 12.015139705084 \tabularnewline
0.55 & 467.466495892589 & 11.945413983848 \tabularnewline
0.56 & 469.774149510121 & 11.8817166288922 \tabularnewline
0.57 & 472.078944514352 & 11.8325984515057 \tabularnewline
0.58 & 474.385551353203 & 11.8070546049961 \tabularnewline
0.59 & 476.700231508188 & 11.8130931808979 \tabularnewline
0.6 & 479.03067386006 & 11.8551745454003 \tabularnewline
0.61 & 481.385851505821 & 11.9382352395009 \tabularnewline
0.62 & 483.77591816835 & 12.0666837847508 \tabularnewline
0.63 & 486.212124409572 & 12.2454938958502 \tabularnewline
0.64 & 488.706694971751 & 12.4778922263565 \tabularnewline
0.65 & 491.272580894392 & 12.7665792682799 \tabularnewline
0.66 & 493.922994807913 & 13.1120810301868 \tabularnewline
0.67 & 496.670663326391 & 13.5106209775701 \tabularnewline
0.68 & 499.52678818363 & 13.95157718232 \tabularnewline
0.69 & 502.499788666006 & 14.4173578825033 \tabularnewline
0.7 & 505.593981849204 & 14.8833556410043 \tabularnewline
0.71 & 508.808417020052 & 15.3187651163742 \tabularnewline
0.72 & 512.13609135163 & 15.6919780931051 \tabularnewline
0.73 & 515.563723354638 & 15.9705702119719 \tabularnewline
0.74 & 519.072157909692 & 16.1294926920254 \tabularnewline
0.75 & 522.637351893057 & 16.1501013396237 \tabularnewline
0.76 & 526.231783367335 & 16.0242266137005 \tabularnewline
0.77 & 529.826074045639 & 15.7518613881732 \tabularnewline
0.78 & 533.390624756657 & 15.3403589778037 \tabularnewline
0.79 & 536.897117639659 & 14.8022216525325 \tabularnewline
0.8 & 540.319797701709 & 14.1562494006297 \tabularnewline
0.81 & 543.63647492728 & 13.4225205115552 \tabularnewline
0.82 & 546.829180005452 & 12.6249175954108 \tabularnewline
0.83 & 549.884394502025 & 11.787159207622 \tabularnewline
0.84 & 552.792815134827 & 10.9304854662123 \tabularnewline
0.85 & 555.548740602211 & 10.0727791768321 \tabularnewline
0.86 & 558.14937042656 & 9.22581185252695 \tabularnewline
0.87 & 560.5944915225 & 8.39644862105705 \tabularnewline
0.88 & 562.887075826363 & 7.59128922501831 \tabularnewline
0.89 & 565.035123809553 & 6.82306499950018 \tabularnewline
0.9 & 567.054640622235 & 6.11380887771228 \tabularnewline
0.91 & 568.972963350022 & 5.49632042739555 \tabularnewline
0.92 & 570.830830968559 & 5.00715693308074 \tabularnewline
0.93 & 572.680783189597 & 4.67329536307419 \tabularnewline
0.94 & 574.579431790298 & 4.48869982812048 \tabularnewline
0.95 & 576.573598087753 & 4.38546351914767 \tabularnewline
0.96 & 578.686006644971 & 4.23350040261028 \tabularnewline
0.97 & 580.906444129767 & 3.90294819577487 \tabularnewline
0.98 & 583.164477258404 & 3.42222397463999 \tabularnewline
0.99 & 585.213692847451 & 3.11136803957954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281600&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]341.74537155024[/C][C]2.53243239324702[/C][/ROW]
[ROW][C]0.02[/C][C]343.327595172001[/C][C]2.47758504495976[/C][/ROW]
[ROW][C]0.03[/C][C]344.994463924888[/C][C]2.74682661412024[/C][/ROW]
[ROW][C]0.04[/C][C]346.63452401836[/C][C]3.22894133429257[/C][/ROW]
[ROW][C]0.05[/C][C]348.300025750473[/C][C]3.83302719739884[/C][/ROW]
[ROW][C]0.06[/C][C]350.054776613213[/C][C]4.51756917706353[/C][/ROW]
[ROW][C]0.07[/C][C]351.933946231024[/C][C]5.24555089544374[/C][/ROW]
[ROW][C]0.08[/C][C]353.944769885233[/C][C]5.9544089182046[/C][/ROW]
[ROW][C]0.09[/C][C]356.070886528493[/C][C]6.56185420466852[/C][/ROW]
[ROW][C]0.1[/C][C]358.277275267982[/C][C]7.0017651509082[/C][/ROW]
[ROW][C]0.11[/C][C]360.519266348225[/C][C]7.25538109106488[/C][/ROW]
[ROW][C]0.12[/C][C]362.754938091023[/C][C]7.3629770103894[/C][/ROW]
[ROW][C]0.13[/C][C]364.956617986223[/C][C]7.40954036966811[/C][/ROW]
[ROW][C]0.14[/C][C]367.117219321054[/C][C]7.4907224658412[/C][/ROW]
[ROW][C]0.15[/C][C]369.249746176424[/C][C]7.6827789959761[/C][/ROW]
[ROW][C]0.16[/C][C]371.381279156326[/C][C]8.01855034385125[/C][/ROW]
[ROW][C]0.17[/C][C]373.544471291017[/C][C]8.49007044314819[/C][/ROW]
[ROW][C]0.18[/C][C]375.76961917268[/C][C]9.06087635675424[/C][/ROW]
[ROW][C]0.19[/C][C]378.079260928723[/C][C]9.6862167103115[/C][/ROW]
[ROW][C]0.2[/C][C]380.485836094956[/C][C]10.321741755322[/C][/ROW]
[ROW][C]0.21[/C][C]382.991869813999[/C][C]10.9336432042462[/C][/ROW]
[ROW][C]0.22[/C][C]385.591666956964[/C][C]11.4957737980312[/C][/ROW]
[ROW][C]0.23[/C][C]388.273541284223[/C][C]11.9905534814783[/C][/ROW]
[ROW][C]0.24[/C][C]391.021924443476[/C][C]12.4051028306247[/C][/ROW]
[ROW][C]0.25[/C][C]393.819066694826[/C][C]12.7335136772437[/C][/ROW]
[ROW][C]0.26[/C][C]396.646312616361[/C][C]12.9715145082764[/C][/ROW]
[ROW][C]0.27[/C][C]399.485068391403[/C][C]13.1181529373312[/C][/ROW]
[ROW][C]0.28[/C][C]402.317597719448[/C][C]13.1788299783356[/C][/ROW]
[ROW][C]0.29[/C][C]405.127740229092[/C][C]13.1581728401821[/C][/ROW]
[ROW][C]0.3[/C][C]407.901582918753[/C][C]13.0686181042026[/C][/ROW]
[ROW][C]0.31[/C][C]410.628058391957[/C][C]12.9230869607227[/C][/ROW]
[ROW][C]0.32[/C][C]413.299406362612[/C][C]12.7390634595655[/C][/ROW]
[ROW][C]0.33[/C][C]415.911422583117[/C][C]12.5347691065564[/C][/ROW]
[ROW][C]0.34[/C][C]418.463433743665[/C][C]12.3284842369771[/C][/ROW]
[ROW][C]0.35[/C][C]420.957975434254[/C][C]12.1376535352264[/C][/ROW]
[ROW][C]0.36[/C][C]423.400204056007[/C][C]11.9736101978361[/C][/ROW]
[ROW][C]0.37[/C][C]425.797127500549[/C][C]11.8453838216723[/C][/ROW]
[ROW][C]0.38[/C][C]428.156776004327[/C][C]11.7544571613131[/C][/ROW]
[ROW][C]0.39[/C][C]430.487440390888[/C][C]11.7000112514988[/C][/ROW]
[ROW][C]0.4[/C][C]432.797076437213[/C][C]11.6781360620789[/C][/ROW]
[ROW][C]0.41[/C][C]435.092920069769[/C][C]11.6821490327938[/C][/ROW]
[ROW][C]0.42[/C][C]437.381296752567[/C][C]11.7087700025345[/C][/ROW]
[ROW][C]0.43[/C][C]439.667560743299[/C][C]11.7539298832357[/C][/ROW]
[ROW][C]0.44[/C][C]441.95608153109[/C][C]11.8138436558708[/C][/ROW]
[ROW][C]0.45[/C][C]444.250210153762[/C][C]11.8835318738137[/C][/ROW]
[ROW][C]0.46[/C][C]446.552198964107[/C][C]11.9590337737862[/C][/ROW]
[ROW][C]0.47[/C][C]448.863097364376[/C][C]12.032500452044[/C][/ROW]
[ROW][C]0.48[/C][C]451.182683445296[/C][C]12.0962212312286[/C][/ROW]
[ROW][C]0.49[/C][C]453.509503026714[/C][C]12.1423570043614[/C][/ROW]
[ROW][C]0.5[/C][C]455.841069351938[/C][C]12.1653711129634[/C][/ROW]
[ROW][C]0.51[/C][C]458.174235916889[/C][C]12.1612251007649[/C][/ROW]
[ROW][C]0.52[/C][C]460.505706709929[/C][C]12.1311809903791[/C][/ROW]
[ROW][C]0.53[/C][C]462.832609352293[/C][C]12.0802319404837[/C][/ROW]
[ROW][C]0.54[/C][C]465.153039732649[/C][C]12.015139705084[/C][/ROW]
[ROW][C]0.55[/C][C]467.466495892589[/C][C]11.945413983848[/C][/ROW]
[ROW][C]0.56[/C][C]469.774149510121[/C][C]11.8817166288922[/C][/ROW]
[ROW][C]0.57[/C][C]472.078944514352[/C][C]11.8325984515057[/C][/ROW]
[ROW][C]0.58[/C][C]474.385551353203[/C][C]11.8070546049961[/C][/ROW]
[ROW][C]0.59[/C][C]476.700231508188[/C][C]11.8130931808979[/C][/ROW]
[ROW][C]0.6[/C][C]479.03067386006[/C][C]11.8551745454003[/C][/ROW]
[ROW][C]0.61[/C][C]481.385851505821[/C][C]11.9382352395009[/C][/ROW]
[ROW][C]0.62[/C][C]483.77591816835[/C][C]12.0666837847508[/C][/ROW]
[ROW][C]0.63[/C][C]486.212124409572[/C][C]12.2454938958502[/C][/ROW]
[ROW][C]0.64[/C][C]488.706694971751[/C][C]12.4778922263565[/C][/ROW]
[ROW][C]0.65[/C][C]491.272580894392[/C][C]12.7665792682799[/C][/ROW]
[ROW][C]0.66[/C][C]493.922994807913[/C][C]13.1120810301868[/C][/ROW]
[ROW][C]0.67[/C][C]496.670663326391[/C][C]13.5106209775701[/C][/ROW]
[ROW][C]0.68[/C][C]499.52678818363[/C][C]13.95157718232[/C][/ROW]
[ROW][C]0.69[/C][C]502.499788666006[/C][C]14.4173578825033[/C][/ROW]
[ROW][C]0.7[/C][C]505.593981849204[/C][C]14.8833556410043[/C][/ROW]
[ROW][C]0.71[/C][C]508.808417020052[/C][C]15.3187651163742[/C][/ROW]
[ROW][C]0.72[/C][C]512.13609135163[/C][C]15.6919780931051[/C][/ROW]
[ROW][C]0.73[/C][C]515.563723354638[/C][C]15.9705702119719[/C][/ROW]
[ROW][C]0.74[/C][C]519.072157909692[/C][C]16.1294926920254[/C][/ROW]
[ROW][C]0.75[/C][C]522.637351893057[/C][C]16.1501013396237[/C][/ROW]
[ROW][C]0.76[/C][C]526.231783367335[/C][C]16.0242266137005[/C][/ROW]
[ROW][C]0.77[/C][C]529.826074045639[/C][C]15.7518613881732[/C][/ROW]
[ROW][C]0.78[/C][C]533.390624756657[/C][C]15.3403589778037[/C][/ROW]
[ROW][C]0.79[/C][C]536.897117639659[/C][C]14.8022216525325[/C][/ROW]
[ROW][C]0.8[/C][C]540.319797701709[/C][C]14.1562494006297[/C][/ROW]
[ROW][C]0.81[/C][C]543.63647492728[/C][C]13.4225205115552[/C][/ROW]
[ROW][C]0.82[/C][C]546.829180005452[/C][C]12.6249175954108[/C][/ROW]
[ROW][C]0.83[/C][C]549.884394502025[/C][C]11.787159207622[/C][/ROW]
[ROW][C]0.84[/C][C]552.792815134827[/C][C]10.9304854662123[/C][/ROW]
[ROW][C]0.85[/C][C]555.548740602211[/C][C]10.0727791768321[/C][/ROW]
[ROW][C]0.86[/C][C]558.14937042656[/C][C]9.22581185252695[/C][/ROW]
[ROW][C]0.87[/C][C]560.5944915225[/C][C]8.39644862105705[/C][/ROW]
[ROW][C]0.88[/C][C]562.887075826363[/C][C]7.59128922501831[/C][/ROW]
[ROW][C]0.89[/C][C]565.035123809553[/C][C]6.82306499950018[/C][/ROW]
[ROW][C]0.9[/C][C]567.054640622235[/C][C]6.11380887771228[/C][/ROW]
[ROW][C]0.91[/C][C]568.972963350022[/C][C]5.49632042739555[/C][/ROW]
[ROW][C]0.92[/C][C]570.830830968559[/C][C]5.00715693308074[/C][/ROW]
[ROW][C]0.93[/C][C]572.680783189597[/C][C]4.67329536307419[/C][/ROW]
[ROW][C]0.94[/C][C]574.579431790298[/C][C]4.48869982812048[/C][/ROW]
[ROW][C]0.95[/C][C]576.573598087753[/C][C]4.38546351914767[/C][/ROW]
[ROW][C]0.96[/C][C]578.686006644971[/C][C]4.23350040261028[/C][/ROW]
[ROW][C]0.97[/C][C]580.906444129767[/C][C]3.90294819577487[/C][/ROW]
[ROW][C]0.98[/C][C]583.164477258404[/C][C]3.42222397463999[/C][/ROW]
[ROW][C]0.99[/C][C]585.213692847451[/C][C]3.11136803957954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281600&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281600&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
0.01341.745371550242.53243239324702
0.02343.3275951720012.47758504495976
0.03344.9944639248882.74682661412024
0.04346.634524018363.22894133429257
0.05348.3000257504733.83302719739884
0.06350.0547766132134.51756917706353
0.07351.9339462310245.24555089544374
0.08353.9447698852335.9544089182046
0.09356.0708865284936.56185420466852
0.1358.2772752679827.0017651509082
0.11360.5192663482257.25538109106488
0.12362.7549380910237.3629770103894
0.13364.9566179862237.40954036966811
0.14367.1172193210547.4907224658412
0.15369.2497461764247.6827789959761
0.16371.3812791563268.01855034385125
0.17373.5444712910178.49007044314819
0.18375.769619172689.06087635675424
0.19378.0792609287239.6862167103115
0.2380.48583609495610.321741755322
0.21382.99186981399910.9336432042462
0.22385.59166695696411.4957737980312
0.23388.27354128422311.9905534814783
0.24391.02192444347612.4051028306247
0.25393.81906669482612.7335136772437
0.26396.64631261636112.9715145082764
0.27399.48506839140313.1181529373312
0.28402.31759771944813.1788299783356
0.29405.12774022909213.1581728401821
0.3407.90158291875313.0686181042026
0.31410.62805839195712.9230869607227
0.32413.29940636261212.7390634595655
0.33415.91142258311712.5347691065564
0.34418.46343374366512.3284842369771
0.35420.95797543425412.1376535352264
0.36423.40020405600711.9736101978361
0.37425.79712750054911.8453838216723
0.38428.15677600432711.7544571613131
0.39430.48744039088811.7000112514988
0.4432.79707643721311.6781360620789
0.41435.09292006976911.6821490327938
0.42437.38129675256711.7087700025345
0.43439.66756074329911.7539298832357
0.44441.9560815310911.8138436558708
0.45444.25021015376211.8835318738137
0.46446.55219896410711.9590337737862
0.47448.86309736437612.032500452044
0.48451.18268344529612.0962212312286
0.49453.50950302671412.1423570043614
0.5455.84106935193812.1653711129634
0.51458.17423591688912.1612251007649
0.52460.50570670992912.1311809903791
0.53462.83260935229312.0802319404837
0.54465.15303973264912.015139705084
0.55467.46649589258911.945413983848
0.56469.77414951012111.8817166288922
0.57472.07894451435211.8325984515057
0.58474.38555135320311.8070546049961
0.59476.70023150818811.8130931808979
0.6479.0306738600611.8551745454003
0.61481.38585150582111.9382352395009
0.62483.7759181683512.0666837847508
0.63486.21212440957212.2454938958502
0.64488.70669497175112.4778922263565
0.65491.27258089439212.7665792682799
0.66493.92299480791313.1120810301868
0.67496.67066332639113.5106209775701
0.68499.5267881836313.95157718232
0.69502.49978866600614.4173578825033
0.7505.59398184920414.8833556410043
0.71508.80841702005215.3187651163742
0.72512.1360913516315.6919780931051
0.73515.56372335463815.9705702119719
0.74519.07215790969216.1294926920254
0.75522.63735189305716.1501013396237
0.76526.23178336733516.0242266137005
0.77529.82607404563915.7518613881732
0.78533.39062475665715.3403589778037
0.79536.89711763965914.8022216525325
0.8540.31979770170914.1562494006297
0.81543.6364749272813.4225205115552
0.82546.82918000545212.6249175954108
0.83549.88439450202511.787159207622
0.84552.79281513482710.9304854662123
0.85555.54874060221110.0727791768321
0.86558.149370426569.22581185252695
0.87560.59449152258.39644862105705
0.88562.8870758263637.59128922501831
0.89565.0351238095536.82306499950018
0.9567.0546406222356.11380887771228
0.91568.9729633500225.49632042739555
0.92570.8308309685595.00715693308074
0.93572.6807831895974.67329536307419
0.94574.5794317902984.48869982812048
0.95576.5735980877534.38546351914767
0.96578.6860066449714.23350040261028
0.97580.9064441297673.90294819577487
0.98583.1644772584043.42222397463999
0.99585.2136928474513.11136803957954


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')