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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 13 Dec 2011 11:08:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t1323792518c3s0sgkv1fs3uc9.htm/, Retrieved Thu, 02 May 2024 18:57:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154471, Retrieved Thu, 02 May 2024 18:57:00 +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)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 20:30:15] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-12-13 14:43:33] [c4580079d5d2b3f0ba412f27cdc441be]
- RM D      [Harrell-Davis Quantiles] [] [2011-12-13 16:08:07] [885a9dbaf162325773a0a0afdf9f947e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14,36009776
11,30900293
12,45810893
13,50394283
7,219358341
7,381367182
15,26096233
3,165415029
11,78143911
9,277808364
14,22780485
13,3753608
9,487750499
15,21511671
10,42712012
17,84978648
15,89534882
12,55115438
11,43396085
15,53507626
14,52239325
13,89331579
9,712278591
14,12942504
12,89537363
12,1602659
13,01181689
13,29873685
7,775415068
13,28429728
15,11451039
13,74797244
16,42942616
8,584377305
16,47410685
10,83539947
14,48035784
9,817153316
5,345232896
14,39310875
12,87630593
10,76877965
10,49694082
8,443671407
8,407782836
13,94065255
6,16326461
14,43688293
17,77583855
12,2486023
11,45685566
1,153093302
17,35686844
5,224652076
5,238696901
12,60523152
17,98404039
15,30279334
16,2306506
11,17728596
17,64250157
14,43288916
9,841441509
13,10185804
12,78229154
9,841353028
12,52267132
12,85177133
13,17889823
9,459926349
13,14460233
5,679993974
13,621099
11,4493559
12,45612266
14,52255588
14,00916003
12,87917848
10,91453539
10,67710167
7,500506329
15,71511893
8,451414364
13,04281114
5,475735648
6,318561991
11,67102852
12,88262502
12,34103121
15,31887313
10,00450285
14,86835659
8,706868119
12,38401963
14,23699191
12,98177075
14,75112225
15,68212424
18,1400865
15,91867058
14,96179352
16,04078615
7,958769343
6,117022453
7,408636579
12,70501195
12,21180573
13,7541755
10,16398398
11,38027871
14,09406222
15,38882422
0,694512385
10,98992814
3,847727223
10,36537965
15,07282766
0,406821823
11,07449882
2,651799226
13,40079885
14,266541
11,1935173
9,43355457
2,298582242
11,55994194
16,70032444
14,84074833
17,38403831
15,73039586
19,36265885
11,32605381
7,851840967
13,30225262
17,89762797
9,46320715
17,41915883
9,332238773
13,4187927
11,37725913
8,702323456
14,19611665
14,3980936
7,301383906
15,72027262
14,03405468
14,75498272
17,03707132
0,498724543
10,82410397
13,99003257
0,295218143
1,833602184
0,59944272
6,512322257
8,594439161

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154471&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154471&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.420633387081150.154373152689235
0.020.6708063594836680.39150481560624
0.031.097682828273860.753195111776596
0.041.717798798241631.07886392739988
0.052.465832511431211.29817167694072
0.063.256433322537571.39124020467816
0.074.013921810791411.34216375286713
0.084.682677836151091.18863633095469
0.095.241343790563311.01869482951121
0.15.703662231420970.901305849660327
0.116.099725610017120.843871524118214
0.126.455209275064930.814969860774676
0.136.783110229908430.786304052285361
0.147.086990926364920.74927663421905
0.157.367470446224780.709171447875154
0.167.626182698424920.673862503016825
0.177.86632367309180.646645925562451
0.188.091559097176580.62649378060924
0.198.30502531905740.611195313960043
0.28.508984279629790.599061522038274
0.218.704872905906990.58843818452947
0.228.893444138659240.577433391378846
0.239.074981446602210.564821556530954
0.249.249660917125590.551197281673975
0.259.417968198428450.538992514635955
0.269.580922427214120.530858143748996
0.279.739925822451120.5278757825829
0.289.89629447719410.528540275274992
0.2910.05072925543670.529353162187332
0.310.20301034351280.5265068340696
0.3110.35205670311650.517306842063569
0.3210.49630016382880.501015735175132
0.3310.63419940738850.47890837828622
0.3410.76470668089920.45370482850492
0.3510.88757016733720.428865725630909
0.3611.00344314961880.407746685791004
0.3711.11382511854850.393501723291858
0.3811.2208671599110.388246980115495
0.3911.32705922759280.392932587467309
0.411.43481694155970.406480582794351
0.4111.5460180129890.42583873981246
0.4211.66158717784390.446296072073668
0.4311.78125483969440.462667110779812
0.4411.9035860377050.470667570375279
0.4512.02629282300480.467855113281433
0.4612.14674117949040.454146881701447
0.4712.26249506619150.431546080614978
0.4812.37173975978710.403361868335805
0.4912.4734910357440.373075557994461
0.512.56758816339790.343805375380497
0.5112.65454022326550.317647414499777
0.5212.73531862803010.295860191388324
0.5312.81116703444430.279115988929447
0.5412.88345876862080.267696839006788
0.5512.95359886747530.261573488129623
0.5613.02295499724850.260502190785068
0.5713.09280325086550.263939085663578
0.5813.16427854301010.271303142228173
0.5913.23831861710550.281645437428945
0.613.31559022168530.293864327413256
0.6113.39639507119490.306424895180579
0.6213.48057425940630.317422949984693
0.6313.56745252618670.324775510637225
0.6413.65587040352210.326741390098052
0.6513.7443310125220.322374410296468
0.6613.83124475419910.311886891848164
0.6713.91521185457530.296599689052463
0.6813.99526552812090.278528908958196
0.6914.07101869552590.260122822307874
0.714.14270230336320.243549610530658
0.7114.21112428632210.230665917335095
0.7214.2775889140940.222940736927774
0.7314.34379238619350.221498918562699
0.7414.4116745427050.226847333807976
0.7514.48319326575890.238563296875594
0.7614.56001899056620.254886305036151
0.7714.6432103562420.273043443720554
0.7814.73298702556590.28974087641703
0.7914.8287164126670.302253270352924
0.814.92915904560550.309184200365191
0.8115.03289846607570.310796843955372
0.8215.13878176022210.308723591759406
0.8315.24619659747790.305102966262243
0.8415.35515241850690.301634458628869
0.8515.46634804918210.29969565552383
0.8615.58149681480760.301577585285537
0.8715.70395919179660.311681042077298
0.8815.83928151372720.335503406592789
0.8915.99492880666680.375905346245847
0.916.17860821055440.429331501697504
0.9116.39501519999620.484020966628536
0.9216.64167037888310.520455694657735
0.9316.90623425235450.517271098287199
0.9417.16897344731520.466205155825335
0.9517.4107138538050.382542467518878
0.9617.62033053214740.291302836202319
0.9717.80292544991760.211839971170739
0.9818.03006299694920.213000611115917
0.9918.57251958123510.567498600094492

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.42063338708115 & 0.154373152689235 \tabularnewline
0.02 & 0.670806359483668 & 0.39150481560624 \tabularnewline
0.03 & 1.09768282827386 & 0.753195111776596 \tabularnewline
0.04 & 1.71779879824163 & 1.07886392739988 \tabularnewline
0.05 & 2.46583251143121 & 1.29817167694072 \tabularnewline
0.06 & 3.25643332253757 & 1.39124020467816 \tabularnewline
0.07 & 4.01392181079141 & 1.34216375286713 \tabularnewline
0.08 & 4.68267783615109 & 1.18863633095469 \tabularnewline
0.09 & 5.24134379056331 & 1.01869482951121 \tabularnewline
0.1 & 5.70366223142097 & 0.901305849660327 \tabularnewline
0.11 & 6.09972561001712 & 0.843871524118214 \tabularnewline
0.12 & 6.45520927506493 & 0.814969860774676 \tabularnewline
0.13 & 6.78311022990843 & 0.786304052285361 \tabularnewline
0.14 & 7.08699092636492 & 0.74927663421905 \tabularnewline
0.15 & 7.36747044622478 & 0.709171447875154 \tabularnewline
0.16 & 7.62618269842492 & 0.673862503016825 \tabularnewline
0.17 & 7.8663236730918 & 0.646645925562451 \tabularnewline
0.18 & 8.09155909717658 & 0.62649378060924 \tabularnewline
0.19 & 8.3050253190574 & 0.611195313960043 \tabularnewline
0.2 & 8.50898427962979 & 0.599061522038274 \tabularnewline
0.21 & 8.70487290590699 & 0.58843818452947 \tabularnewline
0.22 & 8.89344413865924 & 0.577433391378846 \tabularnewline
0.23 & 9.07498144660221 & 0.564821556530954 \tabularnewline
0.24 & 9.24966091712559 & 0.551197281673975 \tabularnewline
0.25 & 9.41796819842845 & 0.538992514635955 \tabularnewline
0.26 & 9.58092242721412 & 0.530858143748996 \tabularnewline
0.27 & 9.73992582245112 & 0.5278757825829 \tabularnewline
0.28 & 9.8962944771941 & 0.528540275274992 \tabularnewline
0.29 & 10.0507292554367 & 0.529353162187332 \tabularnewline
0.3 & 10.2030103435128 & 0.5265068340696 \tabularnewline
0.31 & 10.3520567031165 & 0.517306842063569 \tabularnewline
0.32 & 10.4963001638288 & 0.501015735175132 \tabularnewline
0.33 & 10.6341994073885 & 0.47890837828622 \tabularnewline
0.34 & 10.7647066808992 & 0.45370482850492 \tabularnewline
0.35 & 10.8875701673372 & 0.428865725630909 \tabularnewline
0.36 & 11.0034431496188 & 0.407746685791004 \tabularnewline
0.37 & 11.1138251185485 & 0.393501723291858 \tabularnewline
0.38 & 11.220867159911 & 0.388246980115495 \tabularnewline
0.39 & 11.3270592275928 & 0.392932587467309 \tabularnewline
0.4 & 11.4348169415597 & 0.406480582794351 \tabularnewline
0.41 & 11.546018012989 & 0.42583873981246 \tabularnewline
0.42 & 11.6615871778439 & 0.446296072073668 \tabularnewline
0.43 & 11.7812548396944 & 0.462667110779812 \tabularnewline
0.44 & 11.903586037705 & 0.470667570375279 \tabularnewline
0.45 & 12.0262928230048 & 0.467855113281433 \tabularnewline
0.46 & 12.1467411794904 & 0.454146881701447 \tabularnewline
0.47 & 12.2624950661915 & 0.431546080614978 \tabularnewline
0.48 & 12.3717397597871 & 0.403361868335805 \tabularnewline
0.49 & 12.473491035744 & 0.373075557994461 \tabularnewline
0.5 & 12.5675881633979 & 0.343805375380497 \tabularnewline
0.51 & 12.6545402232655 & 0.317647414499777 \tabularnewline
0.52 & 12.7353186280301 & 0.295860191388324 \tabularnewline
0.53 & 12.8111670344443 & 0.279115988929447 \tabularnewline
0.54 & 12.8834587686208 & 0.267696839006788 \tabularnewline
0.55 & 12.9535988674753 & 0.261573488129623 \tabularnewline
0.56 & 13.0229549972485 & 0.260502190785068 \tabularnewline
0.57 & 13.0928032508655 & 0.263939085663578 \tabularnewline
0.58 & 13.1642785430101 & 0.271303142228173 \tabularnewline
0.59 & 13.2383186171055 & 0.281645437428945 \tabularnewline
0.6 & 13.3155902216853 & 0.293864327413256 \tabularnewline
0.61 & 13.3963950711949 & 0.306424895180579 \tabularnewline
0.62 & 13.4805742594063 & 0.317422949984693 \tabularnewline
0.63 & 13.5674525261867 & 0.324775510637225 \tabularnewline
0.64 & 13.6558704035221 & 0.326741390098052 \tabularnewline
0.65 & 13.744331012522 & 0.322374410296468 \tabularnewline
0.66 & 13.8312447541991 & 0.311886891848164 \tabularnewline
0.67 & 13.9152118545753 & 0.296599689052463 \tabularnewline
0.68 & 13.9952655281209 & 0.278528908958196 \tabularnewline
0.69 & 14.0710186955259 & 0.260122822307874 \tabularnewline
0.7 & 14.1427023033632 & 0.243549610530658 \tabularnewline
0.71 & 14.2111242863221 & 0.230665917335095 \tabularnewline
0.72 & 14.277588914094 & 0.222940736927774 \tabularnewline
0.73 & 14.3437923861935 & 0.221498918562699 \tabularnewline
0.74 & 14.411674542705 & 0.226847333807976 \tabularnewline
0.75 & 14.4831932657589 & 0.238563296875594 \tabularnewline
0.76 & 14.5600189905662 & 0.254886305036151 \tabularnewline
0.77 & 14.643210356242 & 0.273043443720554 \tabularnewline
0.78 & 14.7329870255659 & 0.28974087641703 \tabularnewline
0.79 & 14.828716412667 & 0.302253270352924 \tabularnewline
0.8 & 14.9291590456055 & 0.309184200365191 \tabularnewline
0.81 & 15.0328984660757 & 0.310796843955372 \tabularnewline
0.82 & 15.1387817602221 & 0.308723591759406 \tabularnewline
0.83 & 15.2461965974779 & 0.305102966262243 \tabularnewline
0.84 & 15.3551524185069 & 0.301634458628869 \tabularnewline
0.85 & 15.4663480491821 & 0.29969565552383 \tabularnewline
0.86 & 15.5814968148076 & 0.301577585285537 \tabularnewline
0.87 & 15.7039591917966 & 0.311681042077298 \tabularnewline
0.88 & 15.8392815137272 & 0.335503406592789 \tabularnewline
0.89 & 15.9949288066668 & 0.375905346245847 \tabularnewline
0.9 & 16.1786082105544 & 0.429331501697504 \tabularnewline
0.91 & 16.3950151999962 & 0.484020966628536 \tabularnewline
0.92 & 16.6416703788831 & 0.520455694657735 \tabularnewline
0.93 & 16.9062342523545 & 0.517271098287199 \tabularnewline
0.94 & 17.1689734473152 & 0.466205155825335 \tabularnewline
0.95 & 17.410713853805 & 0.382542467518878 \tabularnewline
0.96 & 17.6203305321474 & 0.291302836202319 \tabularnewline
0.97 & 17.8029254499176 & 0.211839971170739 \tabularnewline
0.98 & 18.0300629969492 & 0.213000611115917 \tabularnewline
0.99 & 18.5725195812351 & 0.567498600094492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154471&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]0.42063338708115[/C][C]0.154373152689235[/C][/ROW]
[ROW][C]0.02[/C][C]0.670806359483668[/C][C]0.39150481560624[/C][/ROW]
[ROW][C]0.03[/C][C]1.09768282827386[/C][C]0.753195111776596[/C][/ROW]
[ROW][C]0.04[/C][C]1.71779879824163[/C][C]1.07886392739988[/C][/ROW]
[ROW][C]0.05[/C][C]2.46583251143121[/C][C]1.29817167694072[/C][/ROW]
[ROW][C]0.06[/C][C]3.25643332253757[/C][C]1.39124020467816[/C][/ROW]
[ROW][C]0.07[/C][C]4.01392181079141[/C][C]1.34216375286713[/C][/ROW]
[ROW][C]0.08[/C][C]4.68267783615109[/C][C]1.18863633095469[/C][/ROW]
[ROW][C]0.09[/C][C]5.24134379056331[/C][C]1.01869482951121[/C][/ROW]
[ROW][C]0.1[/C][C]5.70366223142097[/C][C]0.901305849660327[/C][/ROW]
[ROW][C]0.11[/C][C]6.09972561001712[/C][C]0.843871524118214[/C][/ROW]
[ROW][C]0.12[/C][C]6.45520927506493[/C][C]0.814969860774676[/C][/ROW]
[ROW][C]0.13[/C][C]6.78311022990843[/C][C]0.786304052285361[/C][/ROW]
[ROW][C]0.14[/C][C]7.08699092636492[/C][C]0.74927663421905[/C][/ROW]
[ROW][C]0.15[/C][C]7.36747044622478[/C][C]0.709171447875154[/C][/ROW]
[ROW][C]0.16[/C][C]7.62618269842492[/C][C]0.673862503016825[/C][/ROW]
[ROW][C]0.17[/C][C]7.8663236730918[/C][C]0.646645925562451[/C][/ROW]
[ROW][C]0.18[/C][C]8.09155909717658[/C][C]0.62649378060924[/C][/ROW]
[ROW][C]0.19[/C][C]8.3050253190574[/C][C]0.611195313960043[/C][/ROW]
[ROW][C]0.2[/C][C]8.50898427962979[/C][C]0.599061522038274[/C][/ROW]
[ROW][C]0.21[/C][C]8.70487290590699[/C][C]0.58843818452947[/C][/ROW]
[ROW][C]0.22[/C][C]8.89344413865924[/C][C]0.577433391378846[/C][/ROW]
[ROW][C]0.23[/C][C]9.07498144660221[/C][C]0.564821556530954[/C][/ROW]
[ROW][C]0.24[/C][C]9.24966091712559[/C][C]0.551197281673975[/C][/ROW]
[ROW][C]0.25[/C][C]9.41796819842845[/C][C]0.538992514635955[/C][/ROW]
[ROW][C]0.26[/C][C]9.58092242721412[/C][C]0.530858143748996[/C][/ROW]
[ROW][C]0.27[/C][C]9.73992582245112[/C][C]0.5278757825829[/C][/ROW]
[ROW][C]0.28[/C][C]9.8962944771941[/C][C]0.528540275274992[/C][/ROW]
[ROW][C]0.29[/C][C]10.0507292554367[/C][C]0.529353162187332[/C][/ROW]
[ROW][C]0.3[/C][C]10.2030103435128[/C][C]0.5265068340696[/C][/ROW]
[ROW][C]0.31[/C][C]10.3520567031165[/C][C]0.517306842063569[/C][/ROW]
[ROW][C]0.32[/C][C]10.4963001638288[/C][C]0.501015735175132[/C][/ROW]
[ROW][C]0.33[/C][C]10.6341994073885[/C][C]0.47890837828622[/C][/ROW]
[ROW][C]0.34[/C][C]10.7647066808992[/C][C]0.45370482850492[/C][/ROW]
[ROW][C]0.35[/C][C]10.8875701673372[/C][C]0.428865725630909[/C][/ROW]
[ROW][C]0.36[/C][C]11.0034431496188[/C][C]0.407746685791004[/C][/ROW]
[ROW][C]0.37[/C][C]11.1138251185485[/C][C]0.393501723291858[/C][/ROW]
[ROW][C]0.38[/C][C]11.220867159911[/C][C]0.388246980115495[/C][/ROW]
[ROW][C]0.39[/C][C]11.3270592275928[/C][C]0.392932587467309[/C][/ROW]
[ROW][C]0.4[/C][C]11.4348169415597[/C][C]0.406480582794351[/C][/ROW]
[ROW][C]0.41[/C][C]11.546018012989[/C][C]0.42583873981246[/C][/ROW]
[ROW][C]0.42[/C][C]11.6615871778439[/C][C]0.446296072073668[/C][/ROW]
[ROW][C]0.43[/C][C]11.7812548396944[/C][C]0.462667110779812[/C][/ROW]
[ROW][C]0.44[/C][C]11.903586037705[/C][C]0.470667570375279[/C][/ROW]
[ROW][C]0.45[/C][C]12.0262928230048[/C][C]0.467855113281433[/C][/ROW]
[ROW][C]0.46[/C][C]12.1467411794904[/C][C]0.454146881701447[/C][/ROW]
[ROW][C]0.47[/C][C]12.2624950661915[/C][C]0.431546080614978[/C][/ROW]
[ROW][C]0.48[/C][C]12.3717397597871[/C][C]0.403361868335805[/C][/ROW]
[ROW][C]0.49[/C][C]12.473491035744[/C][C]0.373075557994461[/C][/ROW]
[ROW][C]0.5[/C][C]12.5675881633979[/C][C]0.343805375380497[/C][/ROW]
[ROW][C]0.51[/C][C]12.6545402232655[/C][C]0.317647414499777[/C][/ROW]
[ROW][C]0.52[/C][C]12.7353186280301[/C][C]0.295860191388324[/C][/ROW]
[ROW][C]0.53[/C][C]12.8111670344443[/C][C]0.279115988929447[/C][/ROW]
[ROW][C]0.54[/C][C]12.8834587686208[/C][C]0.267696839006788[/C][/ROW]
[ROW][C]0.55[/C][C]12.9535988674753[/C][C]0.261573488129623[/C][/ROW]
[ROW][C]0.56[/C][C]13.0229549972485[/C][C]0.260502190785068[/C][/ROW]
[ROW][C]0.57[/C][C]13.0928032508655[/C][C]0.263939085663578[/C][/ROW]
[ROW][C]0.58[/C][C]13.1642785430101[/C][C]0.271303142228173[/C][/ROW]
[ROW][C]0.59[/C][C]13.2383186171055[/C][C]0.281645437428945[/C][/ROW]
[ROW][C]0.6[/C][C]13.3155902216853[/C][C]0.293864327413256[/C][/ROW]
[ROW][C]0.61[/C][C]13.3963950711949[/C][C]0.306424895180579[/C][/ROW]
[ROW][C]0.62[/C][C]13.4805742594063[/C][C]0.317422949984693[/C][/ROW]
[ROW][C]0.63[/C][C]13.5674525261867[/C][C]0.324775510637225[/C][/ROW]
[ROW][C]0.64[/C][C]13.6558704035221[/C][C]0.326741390098052[/C][/ROW]
[ROW][C]0.65[/C][C]13.744331012522[/C][C]0.322374410296468[/C][/ROW]
[ROW][C]0.66[/C][C]13.8312447541991[/C][C]0.311886891848164[/C][/ROW]
[ROW][C]0.67[/C][C]13.9152118545753[/C][C]0.296599689052463[/C][/ROW]
[ROW][C]0.68[/C][C]13.9952655281209[/C][C]0.278528908958196[/C][/ROW]
[ROW][C]0.69[/C][C]14.0710186955259[/C][C]0.260122822307874[/C][/ROW]
[ROW][C]0.7[/C][C]14.1427023033632[/C][C]0.243549610530658[/C][/ROW]
[ROW][C]0.71[/C][C]14.2111242863221[/C][C]0.230665917335095[/C][/ROW]
[ROW][C]0.72[/C][C]14.277588914094[/C][C]0.222940736927774[/C][/ROW]
[ROW][C]0.73[/C][C]14.3437923861935[/C][C]0.221498918562699[/C][/ROW]
[ROW][C]0.74[/C][C]14.411674542705[/C][C]0.226847333807976[/C][/ROW]
[ROW][C]0.75[/C][C]14.4831932657589[/C][C]0.238563296875594[/C][/ROW]
[ROW][C]0.76[/C][C]14.5600189905662[/C][C]0.254886305036151[/C][/ROW]
[ROW][C]0.77[/C][C]14.643210356242[/C][C]0.273043443720554[/C][/ROW]
[ROW][C]0.78[/C][C]14.7329870255659[/C][C]0.28974087641703[/C][/ROW]
[ROW][C]0.79[/C][C]14.828716412667[/C][C]0.302253270352924[/C][/ROW]
[ROW][C]0.8[/C][C]14.9291590456055[/C][C]0.309184200365191[/C][/ROW]
[ROW][C]0.81[/C][C]15.0328984660757[/C][C]0.310796843955372[/C][/ROW]
[ROW][C]0.82[/C][C]15.1387817602221[/C][C]0.308723591759406[/C][/ROW]
[ROW][C]0.83[/C][C]15.2461965974779[/C][C]0.305102966262243[/C][/ROW]
[ROW][C]0.84[/C][C]15.3551524185069[/C][C]0.301634458628869[/C][/ROW]
[ROW][C]0.85[/C][C]15.4663480491821[/C][C]0.29969565552383[/C][/ROW]
[ROW][C]0.86[/C][C]15.5814968148076[/C][C]0.301577585285537[/C][/ROW]
[ROW][C]0.87[/C][C]15.7039591917966[/C][C]0.311681042077298[/C][/ROW]
[ROW][C]0.88[/C][C]15.8392815137272[/C][C]0.335503406592789[/C][/ROW]
[ROW][C]0.89[/C][C]15.9949288066668[/C][C]0.375905346245847[/C][/ROW]
[ROW][C]0.9[/C][C]16.1786082105544[/C][C]0.429331501697504[/C][/ROW]
[ROW][C]0.91[/C][C]16.3950151999962[/C][C]0.484020966628536[/C][/ROW]
[ROW][C]0.92[/C][C]16.6416703788831[/C][C]0.520455694657735[/C][/ROW]
[ROW][C]0.93[/C][C]16.9062342523545[/C][C]0.517271098287199[/C][/ROW]
[ROW][C]0.94[/C][C]17.1689734473152[/C][C]0.466205155825335[/C][/ROW]
[ROW][C]0.95[/C][C]17.410713853805[/C][C]0.382542467518878[/C][/ROW]
[ROW][C]0.96[/C][C]17.6203305321474[/C][C]0.291302836202319[/C][/ROW]
[ROW][C]0.97[/C][C]17.8029254499176[/C][C]0.211839971170739[/C][/ROW]
[ROW][C]0.98[/C][C]18.0300629969492[/C][C]0.213000611115917[/C][/ROW]
[ROW][C]0.99[/C][C]18.5725195812351[/C][C]0.567498600094492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154471&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
0.010.420633387081150.154373152689235
0.020.6708063594836680.39150481560624
0.031.097682828273860.753195111776596
0.041.717798798241631.07886392739988
0.052.465832511431211.29817167694072
0.063.256433322537571.39124020467816
0.074.013921810791411.34216375286713
0.084.682677836151091.18863633095469
0.095.241343790563311.01869482951121
0.15.703662231420970.901305849660327
0.116.099725610017120.843871524118214
0.126.455209275064930.814969860774676
0.136.783110229908430.786304052285361
0.147.086990926364920.74927663421905
0.157.367470446224780.709171447875154
0.167.626182698424920.673862503016825
0.177.86632367309180.646645925562451
0.188.091559097176580.62649378060924
0.198.30502531905740.611195313960043
0.28.508984279629790.599061522038274
0.218.704872905906990.58843818452947
0.228.893444138659240.577433391378846
0.239.074981446602210.564821556530954
0.249.249660917125590.551197281673975
0.259.417968198428450.538992514635955
0.269.580922427214120.530858143748996
0.279.739925822451120.5278757825829
0.289.89629447719410.528540275274992
0.2910.05072925543670.529353162187332
0.310.20301034351280.5265068340696
0.3110.35205670311650.517306842063569
0.3210.49630016382880.501015735175132
0.3310.63419940738850.47890837828622
0.3410.76470668089920.45370482850492
0.3510.88757016733720.428865725630909
0.3611.00344314961880.407746685791004
0.3711.11382511854850.393501723291858
0.3811.2208671599110.388246980115495
0.3911.32705922759280.392932587467309
0.411.43481694155970.406480582794351
0.4111.5460180129890.42583873981246
0.4211.66158717784390.446296072073668
0.4311.78125483969440.462667110779812
0.4411.9035860377050.470667570375279
0.4512.02629282300480.467855113281433
0.4612.14674117949040.454146881701447
0.4712.26249506619150.431546080614978
0.4812.37173975978710.403361868335805
0.4912.4734910357440.373075557994461
0.512.56758816339790.343805375380497
0.5112.65454022326550.317647414499777
0.5212.73531862803010.295860191388324
0.5312.81116703444430.279115988929447
0.5412.88345876862080.267696839006788
0.5512.95359886747530.261573488129623
0.5613.02295499724850.260502190785068
0.5713.09280325086550.263939085663578
0.5813.16427854301010.271303142228173
0.5913.23831861710550.281645437428945
0.613.31559022168530.293864327413256
0.6113.39639507119490.306424895180579
0.6213.48057425940630.317422949984693
0.6313.56745252618670.324775510637225
0.6413.65587040352210.326741390098052
0.6513.7443310125220.322374410296468
0.6613.83124475419910.311886891848164
0.6713.91521185457530.296599689052463
0.6813.99526552812090.278528908958196
0.6914.07101869552590.260122822307874
0.714.14270230336320.243549610530658
0.7114.21112428632210.230665917335095
0.7214.2775889140940.222940736927774
0.7314.34379238619350.221498918562699
0.7414.4116745427050.226847333807976
0.7514.48319326575890.238563296875594
0.7614.56001899056620.254886305036151
0.7714.6432103562420.273043443720554
0.7814.73298702556590.28974087641703
0.7914.8287164126670.302253270352924
0.814.92915904560550.309184200365191
0.8115.03289846607570.310796843955372
0.8215.13878176022210.308723591759406
0.8315.24619659747790.305102966262243
0.8415.35515241850690.301634458628869
0.8515.46634804918210.29969565552383
0.8615.58149681480760.301577585285537
0.8715.70395919179660.311681042077298
0.8815.83928151372720.335503406592789
0.8915.99492880666680.375905346245847
0.916.17860821055440.429331501697504
0.9116.39501519999620.484020966628536
0.9216.64167037888310.520455694657735
0.9316.90623425235450.517271098287199
0.9417.16897344731520.466205155825335
0.9517.4107138538050.382542467518878
0.9617.62033053214740.291302836202319
0.9717.80292544991760.211839971170739
0.9818.03006299694920.213000611115917
0.9918.57251958123510.567498600094492


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ;
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')