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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, 06 Mar 2011 20:53:29 +0000
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/Mar/06/t1299445133cxc83ht1iczez1h.htm/, Retrieved Mon, 13 May 2024 12:28:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119712, Retrieved Mon, 13 May 2024 12:28:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact204

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] [Percentielen goud...] [2011-03-06 20:53:29] [58d8a931f127f4dbe815c0a9b73ee0dc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
25739
26434
27525
30695
32436
30160
30236
31293
31077
32226
33865
32810

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'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119712&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]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119712&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'Herman Ole Andreas Wold' @ www.yougetit.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110433.422562809371.2362573654325
0.0210484.3034553809111.806463082024
0.0310557.2277494439175.028269783865
0.0410652.9733854925257.400603965276
0.0510773.8841607692351.62630875347
0.0610921.4232909502450.078372058499
0.0711095.6644915335550.958661395861
0.0811296.1198276367658.020286541436
0.0911522.4863782076774.490419402292
0.111774.4782057338897.35892643789
0.1112050.85138321961016.61244321933
0.1212348.31010510741118.64821166319
0.1312660.97127574551190.56742496094
0.1412980.6745714441223.58672841329
0.1513297.99978774481214.67773778982
0.1613603.61118644411166.68432105592
0.1713889.52230282051087.15584740902
0.1814149.9888944299986.606340347529
0.1914381.9000699946876.4122447241
0.214584.6846176626766.905649841869
0.2114759.8510694156666.131823319194
0.2214910.3283699181579.136514965419
0.2315039.7740823102507.841380098719
0.2415151.9813752408451.659511781313
0.2515250.4613929199408.408180953717
0.2615338.2212214354375.342960171938
0.2715417.7130455962349.993889061514
0.2815490.9043112117330.748408324351
0.2915559.4120214568316.857866392025
0.315624.651931731308.406976256137
0.3115687.9684237272305.996252432362
0.3215750.7268030484310.534608187729
0.3315814.3624366663322.868444403258
0.3415880.3889504285343.663136671204
0.3515950.3712242395373.234888543259
0.3616025.8698853242411.420194737858
0.3716108.3642516167457.503085025474
0.3816199.1614347015510.146749321723
0.3916299.3008671842567.560123271184
0.416409.4653514433627.35991603284
0.4116529.9108761788686.941530210212
0.4216660.4269761686743.522298598489
0.4316800.3367852863794.541290235202
0.4416948.5412298079837.695677863485
0.4517103.6057165481871.389672328128
0.4617263.881312839894.815162320921
0.4717427.6470674988907.986417692608
0.4817593.2568917509911.812568122631
0.4917759.2739750111907.909498466085
0.517924.5781129578898.41431196599
0.5118088.4360011435885.808613197034
0.5218250.5304188838872.565803727507
0.5318410.9499768701860.912149257782
0.5418570.1455126944852.787186186268
0.5518728.8615186522849.573024620917
0.5618888.0510810238852.080727736668
0.5719048.781326145860.668392175548
0.5819212.1344629541875.08008319536
0.5919379.1084738678894.601274010661
0.619550.5222590808917.98484056302
0.6119726.9327033953943.47684182626
0.6219908.574821182969.032024401531
0.6320095.3390944687992.358677405798
0.6420286.8002501251011.51400909139
0.6520482.30732460821024.97878545356
0.6620681.13540908061032.39270700727
0.6720882.6861081341034.57564044074
0.6821086.70935464451033.77472674418
0.6921293.50785654351033.53717322527
0.721504.08132362661038.25972051757
0.7121720.17384509531052.40850113954
0.7221944.20519243961079.70635892972
0.7322179.09318349471122.05551241373
0.7422428.00412558381179.33756408434
0.7522694.09367401931249.4966436689
0.7622980.31179252811329.21179715633
0.7723289.33429958161415.15771633653
0.7823623.64494353161505.01457358981
0.7923985.7287043451598.28392636467
0.824378.26255963111696.43201397236
0.8124804.13003090391801.64417385406
0.8225266.0750829231914.88326305534
0.8325765.88216397732032.78916298705
0.8426303.13505892252145.34203367589
0.8526873.83990437472235.65815212968
0.8627469.41735721282282.48605649077
0.8728076.65598634242265.814440792
0.8828679.05901079532173.68149401704
0.8929259.57019488422008.08715799094
0.929804.03521706771787.13507742366
0.9130304.2115170621541.85683633296
0.9230759.0609000361307.0969780854
0.9331173.77520669461108.6306332818
0.9431557.5123210611952.117574177661
0.9531922.4468328642825.18441729903
0.9632286.4052421643719.479343798191
0.9732675.4052129792660.785683512927
0.9833109.5724546201710.208256611137
0.9933553.0735190005876.76956641963

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10433.4225628093 & 71.2362573654325 \tabularnewline
0.02 & 10484.3034553809 & 111.806463082024 \tabularnewline
0.03 & 10557.2277494439 & 175.028269783865 \tabularnewline
0.04 & 10652.9733854925 & 257.400603965276 \tabularnewline
0.05 & 10773.8841607692 & 351.62630875347 \tabularnewline
0.06 & 10921.4232909502 & 450.078372058499 \tabularnewline
0.07 & 11095.6644915335 & 550.958661395861 \tabularnewline
0.08 & 11296.1198276367 & 658.020286541436 \tabularnewline
0.09 & 11522.4863782076 & 774.490419402292 \tabularnewline
0.1 & 11774.4782057338 & 897.35892643789 \tabularnewline
0.11 & 12050.8513832196 & 1016.61244321933 \tabularnewline
0.12 & 12348.3101051074 & 1118.64821166319 \tabularnewline
0.13 & 12660.9712757455 & 1190.56742496094 \tabularnewline
0.14 & 12980.674571444 & 1223.58672841329 \tabularnewline
0.15 & 13297.9997877448 & 1214.67773778982 \tabularnewline
0.16 & 13603.6111864441 & 1166.68432105592 \tabularnewline
0.17 & 13889.5223028205 & 1087.15584740902 \tabularnewline
0.18 & 14149.9888944299 & 986.606340347529 \tabularnewline
0.19 & 14381.9000699946 & 876.4122447241 \tabularnewline
0.2 & 14584.6846176626 & 766.905649841869 \tabularnewline
0.21 & 14759.8510694156 & 666.131823319194 \tabularnewline
0.22 & 14910.3283699181 & 579.136514965419 \tabularnewline
0.23 & 15039.7740823102 & 507.841380098719 \tabularnewline
0.24 & 15151.9813752408 & 451.659511781313 \tabularnewline
0.25 & 15250.4613929199 & 408.408180953717 \tabularnewline
0.26 & 15338.2212214354 & 375.342960171938 \tabularnewline
0.27 & 15417.7130455962 & 349.993889061514 \tabularnewline
0.28 & 15490.9043112117 & 330.748408324351 \tabularnewline
0.29 & 15559.4120214568 & 316.857866392025 \tabularnewline
0.3 & 15624.651931731 & 308.406976256137 \tabularnewline
0.31 & 15687.9684237272 & 305.996252432362 \tabularnewline
0.32 & 15750.7268030484 & 310.534608187729 \tabularnewline
0.33 & 15814.3624366663 & 322.868444403258 \tabularnewline
0.34 & 15880.3889504285 & 343.663136671204 \tabularnewline
0.35 & 15950.3712242395 & 373.234888543259 \tabularnewline
0.36 & 16025.8698853242 & 411.420194737858 \tabularnewline
0.37 & 16108.3642516167 & 457.503085025474 \tabularnewline
0.38 & 16199.1614347015 & 510.146749321723 \tabularnewline
0.39 & 16299.3008671842 & 567.560123271184 \tabularnewline
0.4 & 16409.4653514433 & 627.35991603284 \tabularnewline
0.41 & 16529.9108761788 & 686.941530210212 \tabularnewline
0.42 & 16660.4269761686 & 743.522298598489 \tabularnewline
0.43 & 16800.3367852863 & 794.541290235202 \tabularnewline
0.44 & 16948.5412298079 & 837.695677863485 \tabularnewline
0.45 & 17103.6057165481 & 871.389672328128 \tabularnewline
0.46 & 17263.881312839 & 894.815162320921 \tabularnewline
0.47 & 17427.6470674988 & 907.986417692608 \tabularnewline
0.48 & 17593.2568917509 & 911.812568122631 \tabularnewline
0.49 & 17759.2739750111 & 907.909498466085 \tabularnewline
0.5 & 17924.5781129578 & 898.41431196599 \tabularnewline
0.51 & 18088.4360011435 & 885.808613197034 \tabularnewline
0.52 & 18250.5304188838 & 872.565803727507 \tabularnewline
0.53 & 18410.9499768701 & 860.912149257782 \tabularnewline
0.54 & 18570.1455126944 & 852.787186186268 \tabularnewline
0.55 & 18728.8615186522 & 849.573024620917 \tabularnewline
0.56 & 18888.0510810238 & 852.080727736668 \tabularnewline
0.57 & 19048.781326145 & 860.668392175548 \tabularnewline
0.58 & 19212.1344629541 & 875.08008319536 \tabularnewline
0.59 & 19379.1084738678 & 894.601274010661 \tabularnewline
0.6 & 19550.5222590808 & 917.98484056302 \tabularnewline
0.61 & 19726.9327033953 & 943.47684182626 \tabularnewline
0.62 & 19908.574821182 & 969.032024401531 \tabularnewline
0.63 & 20095.3390944687 & 992.358677405798 \tabularnewline
0.64 & 20286.800250125 & 1011.51400909139 \tabularnewline
0.65 & 20482.3073246082 & 1024.97878545356 \tabularnewline
0.66 & 20681.1354090806 & 1032.39270700727 \tabularnewline
0.67 & 20882.686108134 & 1034.57564044074 \tabularnewline
0.68 & 21086.7093546445 & 1033.77472674418 \tabularnewline
0.69 & 21293.5078565435 & 1033.53717322527 \tabularnewline
0.7 & 21504.0813236266 & 1038.25972051757 \tabularnewline
0.71 & 21720.1738450953 & 1052.40850113954 \tabularnewline
0.72 & 21944.2051924396 & 1079.70635892972 \tabularnewline
0.73 & 22179.0931834947 & 1122.05551241373 \tabularnewline
0.74 & 22428.0041255838 & 1179.33756408434 \tabularnewline
0.75 & 22694.0936740193 & 1249.4966436689 \tabularnewline
0.76 & 22980.3117925281 & 1329.21179715633 \tabularnewline
0.77 & 23289.3342995816 & 1415.15771633653 \tabularnewline
0.78 & 23623.6449435316 & 1505.01457358981 \tabularnewline
0.79 & 23985.728704345 & 1598.28392636467 \tabularnewline
0.8 & 24378.2625596311 & 1696.43201397236 \tabularnewline
0.81 & 24804.1300309039 & 1801.64417385406 \tabularnewline
0.82 & 25266.075082923 & 1914.88326305534 \tabularnewline
0.83 & 25765.8821639773 & 2032.78916298705 \tabularnewline
0.84 & 26303.1350589225 & 2145.34203367589 \tabularnewline
0.85 & 26873.8399043747 & 2235.65815212968 \tabularnewline
0.86 & 27469.4173572128 & 2282.48605649077 \tabularnewline
0.87 & 28076.6559863424 & 2265.814440792 \tabularnewline
0.88 & 28679.0590107953 & 2173.68149401704 \tabularnewline
0.89 & 29259.5701948842 & 2008.08715799094 \tabularnewline
0.9 & 29804.0352170677 & 1787.13507742366 \tabularnewline
0.91 & 30304.211517062 & 1541.85683633296 \tabularnewline
0.92 & 30759.060900036 & 1307.0969780854 \tabularnewline
0.93 & 31173.7752066946 & 1108.6306332818 \tabularnewline
0.94 & 31557.5123210611 & 952.117574177661 \tabularnewline
0.95 & 31922.4468328642 & 825.18441729903 \tabularnewline
0.96 & 32286.4052421643 & 719.479343798191 \tabularnewline
0.97 & 32675.4052129792 & 660.785683512927 \tabularnewline
0.98 & 33109.5724546201 & 710.208256611137 \tabularnewline
0.99 & 33553.0735190005 & 876.76956641963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119712&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]10433.4225628093[/C][C]71.2362573654325[/C][/ROW]
[ROW][C]0.02[/C][C]10484.3034553809[/C][C]111.806463082024[/C][/ROW]
[ROW][C]0.03[/C][C]10557.2277494439[/C][C]175.028269783865[/C][/ROW]
[ROW][C]0.04[/C][C]10652.9733854925[/C][C]257.400603965276[/C][/ROW]
[ROW][C]0.05[/C][C]10773.8841607692[/C][C]351.62630875347[/C][/ROW]
[ROW][C]0.06[/C][C]10921.4232909502[/C][C]450.078372058499[/C][/ROW]
[ROW][C]0.07[/C][C]11095.6644915335[/C][C]550.958661395861[/C][/ROW]
[ROW][C]0.08[/C][C]11296.1198276367[/C][C]658.020286541436[/C][/ROW]
[ROW][C]0.09[/C][C]11522.4863782076[/C][C]774.490419402292[/C][/ROW]
[ROW][C]0.1[/C][C]11774.4782057338[/C][C]897.35892643789[/C][/ROW]
[ROW][C]0.11[/C][C]12050.8513832196[/C][C]1016.61244321933[/C][/ROW]
[ROW][C]0.12[/C][C]12348.3101051074[/C][C]1118.64821166319[/C][/ROW]
[ROW][C]0.13[/C][C]12660.9712757455[/C][C]1190.56742496094[/C][/ROW]
[ROW][C]0.14[/C][C]12980.674571444[/C][C]1223.58672841329[/C][/ROW]
[ROW][C]0.15[/C][C]13297.9997877448[/C][C]1214.67773778982[/C][/ROW]
[ROW][C]0.16[/C][C]13603.6111864441[/C][C]1166.68432105592[/C][/ROW]
[ROW][C]0.17[/C][C]13889.5223028205[/C][C]1087.15584740902[/C][/ROW]
[ROW][C]0.18[/C][C]14149.9888944299[/C][C]986.606340347529[/C][/ROW]
[ROW][C]0.19[/C][C]14381.9000699946[/C][C]876.4122447241[/C][/ROW]
[ROW][C]0.2[/C][C]14584.6846176626[/C][C]766.905649841869[/C][/ROW]
[ROW][C]0.21[/C][C]14759.8510694156[/C][C]666.131823319194[/C][/ROW]
[ROW][C]0.22[/C][C]14910.3283699181[/C][C]579.136514965419[/C][/ROW]
[ROW][C]0.23[/C][C]15039.7740823102[/C][C]507.841380098719[/C][/ROW]
[ROW][C]0.24[/C][C]15151.9813752408[/C][C]451.659511781313[/C][/ROW]
[ROW][C]0.25[/C][C]15250.4613929199[/C][C]408.408180953717[/C][/ROW]
[ROW][C]0.26[/C][C]15338.2212214354[/C][C]375.342960171938[/C][/ROW]
[ROW][C]0.27[/C][C]15417.7130455962[/C][C]349.993889061514[/C][/ROW]
[ROW][C]0.28[/C][C]15490.9043112117[/C][C]330.748408324351[/C][/ROW]
[ROW][C]0.29[/C][C]15559.4120214568[/C][C]316.857866392025[/C][/ROW]
[ROW][C]0.3[/C][C]15624.651931731[/C][C]308.406976256137[/C][/ROW]
[ROW][C]0.31[/C][C]15687.9684237272[/C][C]305.996252432362[/C][/ROW]
[ROW][C]0.32[/C][C]15750.7268030484[/C][C]310.534608187729[/C][/ROW]
[ROW][C]0.33[/C][C]15814.3624366663[/C][C]322.868444403258[/C][/ROW]
[ROW][C]0.34[/C][C]15880.3889504285[/C][C]343.663136671204[/C][/ROW]
[ROW][C]0.35[/C][C]15950.3712242395[/C][C]373.234888543259[/C][/ROW]
[ROW][C]0.36[/C][C]16025.8698853242[/C][C]411.420194737858[/C][/ROW]
[ROW][C]0.37[/C][C]16108.3642516167[/C][C]457.503085025474[/C][/ROW]
[ROW][C]0.38[/C][C]16199.1614347015[/C][C]510.146749321723[/C][/ROW]
[ROW][C]0.39[/C][C]16299.3008671842[/C][C]567.560123271184[/C][/ROW]
[ROW][C]0.4[/C][C]16409.4653514433[/C][C]627.35991603284[/C][/ROW]
[ROW][C]0.41[/C][C]16529.9108761788[/C][C]686.941530210212[/C][/ROW]
[ROW][C]0.42[/C][C]16660.4269761686[/C][C]743.522298598489[/C][/ROW]
[ROW][C]0.43[/C][C]16800.3367852863[/C][C]794.541290235202[/C][/ROW]
[ROW][C]0.44[/C][C]16948.5412298079[/C][C]837.695677863485[/C][/ROW]
[ROW][C]0.45[/C][C]17103.6057165481[/C][C]871.389672328128[/C][/ROW]
[ROW][C]0.46[/C][C]17263.881312839[/C][C]894.815162320921[/C][/ROW]
[ROW][C]0.47[/C][C]17427.6470674988[/C][C]907.986417692608[/C][/ROW]
[ROW][C]0.48[/C][C]17593.2568917509[/C][C]911.812568122631[/C][/ROW]
[ROW][C]0.49[/C][C]17759.2739750111[/C][C]907.909498466085[/C][/ROW]
[ROW][C]0.5[/C][C]17924.5781129578[/C][C]898.41431196599[/C][/ROW]
[ROW][C]0.51[/C][C]18088.4360011435[/C][C]885.808613197034[/C][/ROW]
[ROW][C]0.52[/C][C]18250.5304188838[/C][C]872.565803727507[/C][/ROW]
[ROW][C]0.53[/C][C]18410.9499768701[/C][C]860.912149257782[/C][/ROW]
[ROW][C]0.54[/C][C]18570.1455126944[/C][C]852.787186186268[/C][/ROW]
[ROW][C]0.55[/C][C]18728.8615186522[/C][C]849.573024620917[/C][/ROW]
[ROW][C]0.56[/C][C]18888.0510810238[/C][C]852.080727736668[/C][/ROW]
[ROW][C]0.57[/C][C]19048.781326145[/C][C]860.668392175548[/C][/ROW]
[ROW][C]0.58[/C][C]19212.1344629541[/C][C]875.08008319536[/C][/ROW]
[ROW][C]0.59[/C][C]19379.1084738678[/C][C]894.601274010661[/C][/ROW]
[ROW][C]0.6[/C][C]19550.5222590808[/C][C]917.98484056302[/C][/ROW]
[ROW][C]0.61[/C][C]19726.9327033953[/C][C]943.47684182626[/C][/ROW]
[ROW][C]0.62[/C][C]19908.574821182[/C][C]969.032024401531[/C][/ROW]
[ROW][C]0.63[/C][C]20095.3390944687[/C][C]992.358677405798[/C][/ROW]
[ROW][C]0.64[/C][C]20286.800250125[/C][C]1011.51400909139[/C][/ROW]
[ROW][C]0.65[/C][C]20482.3073246082[/C][C]1024.97878545356[/C][/ROW]
[ROW][C]0.66[/C][C]20681.1354090806[/C][C]1032.39270700727[/C][/ROW]
[ROW][C]0.67[/C][C]20882.686108134[/C][C]1034.57564044074[/C][/ROW]
[ROW][C]0.68[/C][C]21086.7093546445[/C][C]1033.77472674418[/C][/ROW]
[ROW][C]0.69[/C][C]21293.5078565435[/C][C]1033.53717322527[/C][/ROW]
[ROW][C]0.7[/C][C]21504.0813236266[/C][C]1038.25972051757[/C][/ROW]
[ROW][C]0.71[/C][C]21720.1738450953[/C][C]1052.40850113954[/C][/ROW]
[ROW][C]0.72[/C][C]21944.2051924396[/C][C]1079.70635892972[/C][/ROW]
[ROW][C]0.73[/C][C]22179.0931834947[/C][C]1122.05551241373[/C][/ROW]
[ROW][C]0.74[/C][C]22428.0041255838[/C][C]1179.33756408434[/C][/ROW]
[ROW][C]0.75[/C][C]22694.0936740193[/C][C]1249.4966436689[/C][/ROW]
[ROW][C]0.76[/C][C]22980.3117925281[/C][C]1329.21179715633[/C][/ROW]
[ROW][C]0.77[/C][C]23289.3342995816[/C][C]1415.15771633653[/C][/ROW]
[ROW][C]0.78[/C][C]23623.6449435316[/C][C]1505.01457358981[/C][/ROW]
[ROW][C]0.79[/C][C]23985.728704345[/C][C]1598.28392636467[/C][/ROW]
[ROW][C]0.8[/C][C]24378.2625596311[/C][C]1696.43201397236[/C][/ROW]
[ROW][C]0.81[/C][C]24804.1300309039[/C][C]1801.64417385406[/C][/ROW]
[ROW][C]0.82[/C][C]25266.075082923[/C][C]1914.88326305534[/C][/ROW]
[ROW][C]0.83[/C][C]25765.8821639773[/C][C]2032.78916298705[/C][/ROW]
[ROW][C]0.84[/C][C]26303.1350589225[/C][C]2145.34203367589[/C][/ROW]
[ROW][C]0.85[/C][C]26873.8399043747[/C][C]2235.65815212968[/C][/ROW]
[ROW][C]0.86[/C][C]27469.4173572128[/C][C]2282.48605649077[/C][/ROW]
[ROW][C]0.87[/C][C]28076.6559863424[/C][C]2265.814440792[/C][/ROW]
[ROW][C]0.88[/C][C]28679.0590107953[/C][C]2173.68149401704[/C][/ROW]
[ROW][C]0.89[/C][C]29259.5701948842[/C][C]2008.08715799094[/C][/ROW]
[ROW][C]0.9[/C][C]29804.0352170677[/C][C]1787.13507742366[/C][/ROW]
[ROW][C]0.91[/C][C]30304.211517062[/C][C]1541.85683633296[/C][/ROW]
[ROW][C]0.92[/C][C]30759.060900036[/C][C]1307.0969780854[/C][/ROW]
[ROW][C]0.93[/C][C]31173.7752066946[/C][C]1108.6306332818[/C][/ROW]
[ROW][C]0.94[/C][C]31557.5123210611[/C][C]952.117574177661[/C][/ROW]
[ROW][C]0.95[/C][C]31922.4468328642[/C][C]825.18441729903[/C][/ROW]
[ROW][C]0.96[/C][C]32286.4052421643[/C][C]719.479343798191[/C][/ROW]
[ROW][C]0.97[/C][C]32675.4052129792[/C][C]660.785683512927[/C][/ROW]
[ROW][C]0.98[/C][C]33109.5724546201[/C][C]710.208256611137[/C][/ROW]
[ROW][C]0.99[/C][C]33553.0735190005[/C][C]876.76956641963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119712&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
0.0110433.422562809371.2362573654325
0.0210484.3034553809111.806463082024
0.0310557.2277494439175.028269783865
0.0410652.9733854925257.400603965276
0.0510773.8841607692351.62630875347
0.0610921.4232909502450.078372058499
0.0711095.6644915335550.958661395861
0.0811296.1198276367658.020286541436
0.0911522.4863782076774.490419402292
0.111774.4782057338897.35892643789
0.1112050.85138321961016.61244321933
0.1212348.31010510741118.64821166319
0.1312660.97127574551190.56742496094
0.1412980.6745714441223.58672841329
0.1513297.99978774481214.67773778982
0.1613603.61118644411166.68432105592
0.1713889.52230282051087.15584740902
0.1814149.9888944299986.606340347529
0.1914381.9000699946876.4122447241
0.214584.6846176626766.905649841869
0.2114759.8510694156666.131823319194
0.2214910.3283699181579.136514965419
0.2315039.7740823102507.841380098719
0.2415151.9813752408451.659511781313
0.2515250.4613929199408.408180953717
0.2615338.2212214354375.342960171938
0.2715417.7130455962349.993889061514
0.2815490.9043112117330.748408324351
0.2915559.4120214568316.857866392025
0.315624.651931731308.406976256137
0.3115687.9684237272305.996252432362
0.3215750.7268030484310.534608187729
0.3315814.3624366663322.868444403258
0.3415880.3889504285343.663136671204
0.3515950.3712242395373.234888543259
0.3616025.8698853242411.420194737858
0.3716108.3642516167457.503085025474
0.3816199.1614347015510.146749321723
0.3916299.3008671842567.560123271184
0.416409.4653514433627.35991603284
0.4116529.9108761788686.941530210212
0.4216660.4269761686743.522298598489
0.4316800.3367852863794.541290235202
0.4416948.5412298079837.695677863485
0.4517103.6057165481871.389672328128
0.4617263.881312839894.815162320921
0.4717427.6470674988907.986417692608
0.4817593.2568917509911.812568122631
0.4917759.2739750111907.909498466085
0.517924.5781129578898.41431196599
0.5118088.4360011435885.808613197034
0.5218250.5304188838872.565803727507
0.5318410.9499768701860.912149257782
0.5418570.1455126944852.787186186268
0.5518728.8615186522849.573024620917
0.5618888.0510810238852.080727736668
0.5719048.781326145860.668392175548
0.5819212.1344629541875.08008319536
0.5919379.1084738678894.601274010661
0.619550.5222590808917.98484056302
0.6119726.9327033953943.47684182626
0.6219908.574821182969.032024401531
0.6320095.3390944687992.358677405798
0.6420286.8002501251011.51400909139
0.6520482.30732460821024.97878545356
0.6620681.13540908061032.39270700727
0.6720882.6861081341034.57564044074
0.6821086.70935464451033.77472674418
0.6921293.50785654351033.53717322527
0.721504.08132362661038.25972051757
0.7121720.17384509531052.40850113954
0.7221944.20519243961079.70635892972
0.7322179.09318349471122.05551241373
0.7422428.00412558381179.33756408434
0.7522694.09367401931249.4966436689
0.7622980.31179252811329.21179715633
0.7723289.33429958161415.15771633653
0.7823623.64494353161505.01457358981
0.7923985.7287043451598.28392636467
0.824378.26255963111696.43201397236
0.8124804.13003090391801.64417385406
0.8225266.0750829231914.88326305534
0.8325765.88216397732032.78916298705
0.8426303.13505892252145.34203367589
0.8526873.83990437472235.65815212968
0.8627469.41735721282282.48605649077
0.8728076.65598634242265.814440792
0.8828679.05901079532173.68149401704
0.8929259.57019488422008.08715799094
0.929804.03521706771787.13507742366
0.9130304.2115170621541.85683633296
0.9230759.0609000361307.0969780854
0.9331173.77520669461108.6306332818
0.9431557.5123210611952.117574177661
0.9531922.4468328642825.18441729903
0.9632286.4052421643719.479343798191
0.9732675.4052129792660.785683512927
0.9833109.5724546201710.208256611137
0.9933553.0735190005876.76956641963


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')