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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, 12 Mar 2009 14:01:17 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/12/t1236888145izn3pw26a4pebvi.htm/, Retrieved Thu, 02 May 2024 13:55:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39014, Retrieved Thu, 02 May 2024 13:55:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [aantal werklozen/...] [2009-03-12 20:01:17] [d19dedf3d9cbe742e7fe81d57ca6286d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76284
74250
71362
72008
73454
76207
75091
67610
66466
69848
70483
73302
74988
74291
72932
75576
77304
81329
79357
72187
75728
77828
78665
81640
83614
82719
83324
86625
91790
92134
90951
84957
84831
84816
85220
86629
87184
86858
86285
89664
92194
92729
91378
84915
85159
86587
88521
89488
89587
89955
89528
92159
94118
93571
92603
87175
87032
88219
90390
90269
90398
89168
87888
91301
92472
91995
90580
82880
82387
83903
83823
84757
84886

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39014&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39014&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39014&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166962.14044364181341.70403517596
0.0267787.7547261711594.10990939348
0.0368709.02216712841649.67729699965
0.0469567.60896152221533.16028794887
0.0570303.29456525631372.68120589042
0.0670916.36410609351242.85933594668
0.0771431.09826815871155.90306751584
0.0871874.63919958841102.11199762333
0.0972268.79905451131071.70081836059
0.172628.94394762681057.38909211929
0.1172965.36245828171053.90138448796
0.1273284.8835720361057.09155564152
0.1373592.13675475361064.97670632423
0.1473890.47983822261076.90854132014
0.1574182.70788132651094.19400133877
0.1674471.59643595391119.81124703449
0.1774760.28187917451157.90498475599
0.1875052.46086184661213.22354158101
0.1975352.39159370281289.81184992492
0.275664.69570504681389.67764096279
0.2175993.9859127131512.39600367932
0.2276344.37403232641653.98502322392
0.2376718.93726898751807.67663394671
0.2477119.23158444081964.30530517026
0.2577544.93646585882113.29716659479
0.2677993.69637332082243.81734296298
0.2778461.19390439062346.17067134538
0.2878941.4533794192412.57069883497
0.2979427.33718737632438.20525039926
0.379911.1670925182421.89771431484
0.3180385.38422407852365.71079195716
0.3280843.15814379922274.89009474634
0.3381278.8678114372157.02279446603
0.3481688.40279881782020.80491086131
0.3582069.26629929051874.90182279910
0.3682420.49534776631727.32923481711
0.3782742.4413408481584.40613915184
0.3883036.47031721921450.66495703930
0.3983304.64527729131328.77277502320
0.483549.44301004521219.89492547161
0.4183773.53905258741124.27555523438
0.4283979.67173457931041.54987419917
0.4384170.5752382771971.7537095885
0.4484348.9567697666914.939126675591
0.4584517.4869794433871.446362403625
0.4684678.7761151744841.828816700191
0.4784835.3192777138825.914605537825
0.4884989.4091514314822.322701959061
0.4985143.0294735586829.367424035706
0.585297.7532510414843.702432514598
0.5185454.6734550174862.058616114253
0.5285614.389569238880.924686390748
0.5385777.061966473897.730969517959
0.5485942.5304742555910.764948179178
0.5586110.4776025922919.680753429681
0.5686280.6047817194925.546917082588
0.5786452.784736363930.17966953567
0.5886627.1562788797936.0099983901
0.5986804.138818742945.268461036304
0.686984.3604154687959.50257816502
0.6187168.511662984978.63379591335
0.6287357.15409567581001.36713315142
0.6387550.5226187421024.88341324448
0.6487748.36432968731045.87708252258
0.6587949.8502796731060.33437641846
0.6688153.58325390171065.12738026174
0.6788357.70616043981057.74744779361
0.6888560.09588258641037.26140978320
0.6988758.61067642461004.22829051439
0.788951.3491097654960.747137642412
0.7189136.8774394821910.118402379573
0.7289314.390332751856.214046959313
0.7389483.7846564944803.099278815199
0.7489645.6434687117754.573836250192
0.7589801.1424486337713.351387160147
0.7689951.8998951977681.279394786488
0.7790099.7926679613659.09883847789
0.7890246.7556711224646.375845015473
0.7990394.5757180437641.802142569995
0.890544.686533415643.174486235787
0.8190697.9734944343647.599179936637
0.8290854.6048620154651.396623492596
0.8391013.918026076650.783507226619
0.8491174.3997590341642.037290403162
0.8591333.8025360431622.456467419116
0.8691489.4282530838590.546141656536
0.8791638.5811136487546.955200218453
0.8891779.143845616494.55719150396
0.8991910.1805872324438.376270967649
0.992032.4515445496385.276479212736
0.9192148.786062329342.367782672637
0.9292264.413644293315.736373411242
0.9392387.4874286807309.914630605522
0.9492529.8671301158330.231084538915
0.9592707.4280364172384.166390633873
0.9692937.7341512226470.680004934313
0.9793231.542807182561.107683707597
0.9893574.981930195602.89479475903
0.9993906.5008509265575.893472548601

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66962.1404436418 & 1341.70403517596 \tabularnewline
0.02 & 67787.754726171 & 1594.10990939348 \tabularnewline
0.03 & 68709.0221671284 & 1649.67729699965 \tabularnewline
0.04 & 69567.6089615222 & 1533.16028794887 \tabularnewline
0.05 & 70303.2945652563 & 1372.68120589042 \tabularnewline
0.06 & 70916.3641060935 & 1242.85933594668 \tabularnewline
0.07 & 71431.0982681587 & 1155.90306751584 \tabularnewline
0.08 & 71874.6391995884 & 1102.11199762333 \tabularnewline
0.09 & 72268.7990545113 & 1071.70081836059 \tabularnewline
0.1 & 72628.9439476268 & 1057.38909211929 \tabularnewline
0.11 & 72965.3624582817 & 1053.90138448796 \tabularnewline
0.12 & 73284.883572036 & 1057.09155564152 \tabularnewline
0.13 & 73592.1367547536 & 1064.97670632423 \tabularnewline
0.14 & 73890.4798382226 & 1076.90854132014 \tabularnewline
0.15 & 74182.7078813265 & 1094.19400133877 \tabularnewline
0.16 & 74471.5964359539 & 1119.81124703449 \tabularnewline
0.17 & 74760.2818791745 & 1157.90498475599 \tabularnewline
0.18 & 75052.4608618466 & 1213.22354158101 \tabularnewline
0.19 & 75352.3915937028 & 1289.81184992492 \tabularnewline
0.2 & 75664.6957050468 & 1389.67764096279 \tabularnewline
0.21 & 75993.985912713 & 1512.39600367932 \tabularnewline
0.22 & 76344.3740323264 & 1653.98502322392 \tabularnewline
0.23 & 76718.9372689875 & 1807.67663394671 \tabularnewline
0.24 & 77119.2315844408 & 1964.30530517026 \tabularnewline
0.25 & 77544.9364658588 & 2113.29716659479 \tabularnewline
0.26 & 77993.6963733208 & 2243.81734296298 \tabularnewline
0.27 & 78461.1939043906 & 2346.17067134538 \tabularnewline
0.28 & 78941.453379419 & 2412.57069883497 \tabularnewline
0.29 & 79427.3371873763 & 2438.20525039926 \tabularnewline
0.3 & 79911.167092518 & 2421.89771431484 \tabularnewline
0.31 & 80385.3842240785 & 2365.71079195716 \tabularnewline
0.32 & 80843.1581437992 & 2274.89009474634 \tabularnewline
0.33 & 81278.867811437 & 2157.02279446603 \tabularnewline
0.34 & 81688.4027988178 & 2020.80491086131 \tabularnewline
0.35 & 82069.2662992905 & 1874.90182279910 \tabularnewline
0.36 & 82420.4953477663 & 1727.32923481711 \tabularnewline
0.37 & 82742.441340848 & 1584.40613915184 \tabularnewline
0.38 & 83036.4703172192 & 1450.66495703930 \tabularnewline
0.39 & 83304.6452772913 & 1328.77277502320 \tabularnewline
0.4 & 83549.4430100452 & 1219.89492547161 \tabularnewline
0.41 & 83773.5390525874 & 1124.27555523438 \tabularnewline
0.42 & 83979.6717345793 & 1041.54987419917 \tabularnewline
0.43 & 84170.5752382771 & 971.7537095885 \tabularnewline
0.44 & 84348.9567697666 & 914.939126675591 \tabularnewline
0.45 & 84517.4869794433 & 871.446362403625 \tabularnewline
0.46 & 84678.7761151744 & 841.828816700191 \tabularnewline
0.47 & 84835.3192777138 & 825.914605537825 \tabularnewline
0.48 & 84989.4091514314 & 822.322701959061 \tabularnewline
0.49 & 85143.0294735586 & 829.367424035706 \tabularnewline
0.5 & 85297.7532510414 & 843.702432514598 \tabularnewline
0.51 & 85454.6734550174 & 862.058616114253 \tabularnewline
0.52 & 85614.389569238 & 880.924686390748 \tabularnewline
0.53 & 85777.061966473 & 897.730969517959 \tabularnewline
0.54 & 85942.5304742555 & 910.764948179178 \tabularnewline
0.55 & 86110.4776025922 & 919.680753429681 \tabularnewline
0.56 & 86280.6047817194 & 925.546917082588 \tabularnewline
0.57 & 86452.784736363 & 930.17966953567 \tabularnewline
0.58 & 86627.1562788797 & 936.0099983901 \tabularnewline
0.59 & 86804.138818742 & 945.268461036304 \tabularnewline
0.6 & 86984.3604154687 & 959.50257816502 \tabularnewline
0.61 & 87168.511662984 & 978.63379591335 \tabularnewline
0.62 & 87357.1540956758 & 1001.36713315142 \tabularnewline
0.63 & 87550.522618742 & 1024.88341324448 \tabularnewline
0.64 & 87748.3643296873 & 1045.87708252258 \tabularnewline
0.65 & 87949.850279673 & 1060.33437641846 \tabularnewline
0.66 & 88153.5832539017 & 1065.12738026174 \tabularnewline
0.67 & 88357.7061604398 & 1057.74744779361 \tabularnewline
0.68 & 88560.0958825864 & 1037.26140978320 \tabularnewline
0.69 & 88758.6106764246 & 1004.22829051439 \tabularnewline
0.7 & 88951.3491097654 & 960.747137642412 \tabularnewline
0.71 & 89136.8774394821 & 910.118402379573 \tabularnewline
0.72 & 89314.390332751 & 856.214046959313 \tabularnewline
0.73 & 89483.7846564944 & 803.099278815199 \tabularnewline
0.74 & 89645.6434687117 & 754.573836250192 \tabularnewline
0.75 & 89801.1424486337 & 713.351387160147 \tabularnewline
0.76 & 89951.8998951977 & 681.279394786488 \tabularnewline
0.77 & 90099.7926679613 & 659.09883847789 \tabularnewline
0.78 & 90246.7556711224 & 646.375845015473 \tabularnewline
0.79 & 90394.5757180437 & 641.802142569995 \tabularnewline
0.8 & 90544.686533415 & 643.174486235787 \tabularnewline
0.81 & 90697.9734944343 & 647.599179936637 \tabularnewline
0.82 & 90854.6048620154 & 651.396623492596 \tabularnewline
0.83 & 91013.918026076 & 650.783507226619 \tabularnewline
0.84 & 91174.3997590341 & 642.037290403162 \tabularnewline
0.85 & 91333.8025360431 & 622.456467419116 \tabularnewline
0.86 & 91489.4282530838 & 590.546141656536 \tabularnewline
0.87 & 91638.5811136487 & 546.955200218453 \tabularnewline
0.88 & 91779.143845616 & 494.55719150396 \tabularnewline
0.89 & 91910.1805872324 & 438.376270967649 \tabularnewline
0.9 & 92032.4515445496 & 385.276479212736 \tabularnewline
0.91 & 92148.786062329 & 342.367782672637 \tabularnewline
0.92 & 92264.413644293 & 315.736373411242 \tabularnewline
0.93 & 92387.4874286807 & 309.914630605522 \tabularnewline
0.94 & 92529.8671301158 & 330.231084538915 \tabularnewline
0.95 & 92707.4280364172 & 384.166390633873 \tabularnewline
0.96 & 92937.7341512226 & 470.680004934313 \tabularnewline
0.97 & 93231.542807182 & 561.107683707597 \tabularnewline
0.98 & 93574.981930195 & 602.89479475903 \tabularnewline
0.99 & 93906.5008509265 & 575.893472548601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39014&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]66962.1404436418[/C][C]1341.70403517596[/C][/ROW]
[ROW][C]0.02[/C][C]67787.754726171[/C][C]1594.10990939348[/C][/ROW]
[ROW][C]0.03[/C][C]68709.0221671284[/C][C]1649.67729699965[/C][/ROW]
[ROW][C]0.04[/C][C]69567.6089615222[/C][C]1533.16028794887[/C][/ROW]
[ROW][C]0.05[/C][C]70303.2945652563[/C][C]1372.68120589042[/C][/ROW]
[ROW][C]0.06[/C][C]70916.3641060935[/C][C]1242.85933594668[/C][/ROW]
[ROW][C]0.07[/C][C]71431.0982681587[/C][C]1155.90306751584[/C][/ROW]
[ROW][C]0.08[/C][C]71874.6391995884[/C][C]1102.11199762333[/C][/ROW]
[ROW][C]0.09[/C][C]72268.7990545113[/C][C]1071.70081836059[/C][/ROW]
[ROW][C]0.1[/C][C]72628.9439476268[/C][C]1057.38909211929[/C][/ROW]
[ROW][C]0.11[/C][C]72965.3624582817[/C][C]1053.90138448796[/C][/ROW]
[ROW][C]0.12[/C][C]73284.883572036[/C][C]1057.09155564152[/C][/ROW]
[ROW][C]0.13[/C][C]73592.1367547536[/C][C]1064.97670632423[/C][/ROW]
[ROW][C]0.14[/C][C]73890.4798382226[/C][C]1076.90854132014[/C][/ROW]
[ROW][C]0.15[/C][C]74182.7078813265[/C][C]1094.19400133877[/C][/ROW]
[ROW][C]0.16[/C][C]74471.5964359539[/C][C]1119.81124703449[/C][/ROW]
[ROW][C]0.17[/C][C]74760.2818791745[/C][C]1157.90498475599[/C][/ROW]
[ROW][C]0.18[/C][C]75052.4608618466[/C][C]1213.22354158101[/C][/ROW]
[ROW][C]0.19[/C][C]75352.3915937028[/C][C]1289.81184992492[/C][/ROW]
[ROW][C]0.2[/C][C]75664.6957050468[/C][C]1389.67764096279[/C][/ROW]
[ROW][C]0.21[/C][C]75993.985912713[/C][C]1512.39600367932[/C][/ROW]
[ROW][C]0.22[/C][C]76344.3740323264[/C][C]1653.98502322392[/C][/ROW]
[ROW][C]0.23[/C][C]76718.9372689875[/C][C]1807.67663394671[/C][/ROW]
[ROW][C]0.24[/C][C]77119.2315844408[/C][C]1964.30530517026[/C][/ROW]
[ROW][C]0.25[/C][C]77544.9364658588[/C][C]2113.29716659479[/C][/ROW]
[ROW][C]0.26[/C][C]77993.6963733208[/C][C]2243.81734296298[/C][/ROW]
[ROW][C]0.27[/C][C]78461.1939043906[/C][C]2346.17067134538[/C][/ROW]
[ROW][C]0.28[/C][C]78941.453379419[/C][C]2412.57069883497[/C][/ROW]
[ROW][C]0.29[/C][C]79427.3371873763[/C][C]2438.20525039926[/C][/ROW]
[ROW][C]0.3[/C][C]79911.167092518[/C][C]2421.89771431484[/C][/ROW]
[ROW][C]0.31[/C][C]80385.3842240785[/C][C]2365.71079195716[/C][/ROW]
[ROW][C]0.32[/C][C]80843.1581437992[/C][C]2274.89009474634[/C][/ROW]
[ROW][C]0.33[/C][C]81278.867811437[/C][C]2157.02279446603[/C][/ROW]
[ROW][C]0.34[/C][C]81688.4027988178[/C][C]2020.80491086131[/C][/ROW]
[ROW][C]0.35[/C][C]82069.2662992905[/C][C]1874.90182279910[/C][/ROW]
[ROW][C]0.36[/C][C]82420.4953477663[/C][C]1727.32923481711[/C][/ROW]
[ROW][C]0.37[/C][C]82742.441340848[/C][C]1584.40613915184[/C][/ROW]
[ROW][C]0.38[/C][C]83036.4703172192[/C][C]1450.66495703930[/C][/ROW]
[ROW][C]0.39[/C][C]83304.6452772913[/C][C]1328.77277502320[/C][/ROW]
[ROW][C]0.4[/C][C]83549.4430100452[/C][C]1219.89492547161[/C][/ROW]
[ROW][C]0.41[/C][C]83773.5390525874[/C][C]1124.27555523438[/C][/ROW]
[ROW][C]0.42[/C][C]83979.6717345793[/C][C]1041.54987419917[/C][/ROW]
[ROW][C]0.43[/C][C]84170.5752382771[/C][C]971.7537095885[/C][/ROW]
[ROW][C]0.44[/C][C]84348.9567697666[/C][C]914.939126675591[/C][/ROW]
[ROW][C]0.45[/C][C]84517.4869794433[/C][C]871.446362403625[/C][/ROW]
[ROW][C]0.46[/C][C]84678.7761151744[/C][C]841.828816700191[/C][/ROW]
[ROW][C]0.47[/C][C]84835.3192777138[/C][C]825.914605537825[/C][/ROW]
[ROW][C]0.48[/C][C]84989.4091514314[/C][C]822.322701959061[/C][/ROW]
[ROW][C]0.49[/C][C]85143.0294735586[/C][C]829.367424035706[/C][/ROW]
[ROW][C]0.5[/C][C]85297.7532510414[/C][C]843.702432514598[/C][/ROW]
[ROW][C]0.51[/C][C]85454.6734550174[/C][C]862.058616114253[/C][/ROW]
[ROW][C]0.52[/C][C]85614.389569238[/C][C]880.924686390748[/C][/ROW]
[ROW][C]0.53[/C][C]85777.061966473[/C][C]897.730969517959[/C][/ROW]
[ROW][C]0.54[/C][C]85942.5304742555[/C][C]910.764948179178[/C][/ROW]
[ROW][C]0.55[/C][C]86110.4776025922[/C][C]919.680753429681[/C][/ROW]
[ROW][C]0.56[/C][C]86280.6047817194[/C][C]925.546917082588[/C][/ROW]
[ROW][C]0.57[/C][C]86452.784736363[/C][C]930.17966953567[/C][/ROW]
[ROW][C]0.58[/C][C]86627.1562788797[/C][C]936.0099983901[/C][/ROW]
[ROW][C]0.59[/C][C]86804.138818742[/C][C]945.268461036304[/C][/ROW]
[ROW][C]0.6[/C][C]86984.3604154687[/C][C]959.50257816502[/C][/ROW]
[ROW][C]0.61[/C][C]87168.511662984[/C][C]978.63379591335[/C][/ROW]
[ROW][C]0.62[/C][C]87357.1540956758[/C][C]1001.36713315142[/C][/ROW]
[ROW][C]0.63[/C][C]87550.522618742[/C][C]1024.88341324448[/C][/ROW]
[ROW][C]0.64[/C][C]87748.3643296873[/C][C]1045.87708252258[/C][/ROW]
[ROW][C]0.65[/C][C]87949.850279673[/C][C]1060.33437641846[/C][/ROW]
[ROW][C]0.66[/C][C]88153.5832539017[/C][C]1065.12738026174[/C][/ROW]
[ROW][C]0.67[/C][C]88357.7061604398[/C][C]1057.74744779361[/C][/ROW]
[ROW][C]0.68[/C][C]88560.0958825864[/C][C]1037.26140978320[/C][/ROW]
[ROW][C]0.69[/C][C]88758.6106764246[/C][C]1004.22829051439[/C][/ROW]
[ROW][C]0.7[/C][C]88951.3491097654[/C][C]960.747137642412[/C][/ROW]
[ROW][C]0.71[/C][C]89136.8774394821[/C][C]910.118402379573[/C][/ROW]
[ROW][C]0.72[/C][C]89314.390332751[/C][C]856.214046959313[/C][/ROW]
[ROW][C]0.73[/C][C]89483.7846564944[/C][C]803.099278815199[/C][/ROW]
[ROW][C]0.74[/C][C]89645.6434687117[/C][C]754.573836250192[/C][/ROW]
[ROW][C]0.75[/C][C]89801.1424486337[/C][C]713.351387160147[/C][/ROW]
[ROW][C]0.76[/C][C]89951.8998951977[/C][C]681.279394786488[/C][/ROW]
[ROW][C]0.77[/C][C]90099.7926679613[/C][C]659.09883847789[/C][/ROW]
[ROW][C]0.78[/C][C]90246.7556711224[/C][C]646.375845015473[/C][/ROW]
[ROW][C]0.79[/C][C]90394.5757180437[/C][C]641.802142569995[/C][/ROW]
[ROW][C]0.8[/C][C]90544.686533415[/C][C]643.174486235787[/C][/ROW]
[ROW][C]0.81[/C][C]90697.9734944343[/C][C]647.599179936637[/C][/ROW]
[ROW][C]0.82[/C][C]90854.6048620154[/C][C]651.396623492596[/C][/ROW]
[ROW][C]0.83[/C][C]91013.918026076[/C][C]650.783507226619[/C][/ROW]
[ROW][C]0.84[/C][C]91174.3997590341[/C][C]642.037290403162[/C][/ROW]
[ROW][C]0.85[/C][C]91333.8025360431[/C][C]622.456467419116[/C][/ROW]
[ROW][C]0.86[/C][C]91489.4282530838[/C][C]590.546141656536[/C][/ROW]
[ROW][C]0.87[/C][C]91638.5811136487[/C][C]546.955200218453[/C][/ROW]
[ROW][C]0.88[/C][C]91779.143845616[/C][C]494.55719150396[/C][/ROW]
[ROW][C]0.89[/C][C]91910.1805872324[/C][C]438.376270967649[/C][/ROW]
[ROW][C]0.9[/C][C]92032.4515445496[/C][C]385.276479212736[/C][/ROW]
[ROW][C]0.91[/C][C]92148.786062329[/C][C]342.367782672637[/C][/ROW]
[ROW][C]0.92[/C][C]92264.413644293[/C][C]315.736373411242[/C][/ROW]
[ROW][C]0.93[/C][C]92387.4874286807[/C][C]309.914630605522[/C][/ROW]
[ROW][C]0.94[/C][C]92529.8671301158[/C][C]330.231084538915[/C][/ROW]
[ROW][C]0.95[/C][C]92707.4280364172[/C][C]384.166390633873[/C][/ROW]
[ROW][C]0.96[/C][C]92937.7341512226[/C][C]470.680004934313[/C][/ROW]
[ROW][C]0.97[/C][C]93231.542807182[/C][C]561.107683707597[/C][/ROW]
[ROW][C]0.98[/C][C]93574.981930195[/C][C]602.89479475903[/C][/ROW]
[ROW][C]0.99[/C][C]93906.5008509265[/C][C]575.893472548601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39014&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39014&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
0.0166962.14044364181341.70403517596
0.0267787.7547261711594.10990939348
0.0368709.02216712841649.67729699965
0.0469567.60896152221533.16028794887
0.0570303.29456525631372.68120589042
0.0670916.36410609351242.85933594668
0.0771431.09826815871155.90306751584
0.0871874.63919958841102.11199762333
0.0972268.79905451131071.70081836059
0.172628.94394762681057.38909211929
0.1172965.36245828171053.90138448796
0.1273284.8835720361057.09155564152
0.1373592.13675475361064.97670632423
0.1473890.47983822261076.90854132014
0.1574182.70788132651094.19400133877
0.1674471.59643595391119.81124703449
0.1774760.28187917451157.90498475599
0.1875052.46086184661213.22354158101
0.1975352.39159370281289.81184992492
0.275664.69570504681389.67764096279
0.2175993.9859127131512.39600367932
0.2276344.37403232641653.98502322392
0.2376718.93726898751807.67663394671
0.2477119.23158444081964.30530517026
0.2577544.93646585882113.29716659479
0.2677993.69637332082243.81734296298
0.2778461.19390439062346.17067134538
0.2878941.4533794192412.57069883497
0.2979427.33718737632438.20525039926
0.379911.1670925182421.89771431484
0.3180385.38422407852365.71079195716
0.3280843.15814379922274.89009474634
0.3381278.8678114372157.02279446603
0.3481688.40279881782020.80491086131
0.3582069.26629929051874.90182279910
0.3682420.49534776631727.32923481711
0.3782742.4413408481584.40613915184
0.3883036.47031721921450.66495703930
0.3983304.64527729131328.77277502320
0.483549.44301004521219.89492547161
0.4183773.53905258741124.27555523438
0.4283979.67173457931041.54987419917
0.4384170.5752382771971.7537095885
0.4484348.9567697666914.939126675591
0.4584517.4869794433871.446362403625
0.4684678.7761151744841.828816700191
0.4784835.3192777138825.914605537825
0.4884989.4091514314822.322701959061
0.4985143.0294735586829.367424035706
0.585297.7532510414843.702432514598
0.5185454.6734550174862.058616114253
0.5285614.389569238880.924686390748
0.5385777.061966473897.730969517959
0.5485942.5304742555910.764948179178
0.5586110.4776025922919.680753429681
0.5686280.6047817194925.546917082588
0.5786452.784736363930.17966953567
0.5886627.1562788797936.0099983901
0.5986804.138818742945.268461036304
0.686984.3604154687959.50257816502
0.6187168.511662984978.63379591335
0.6287357.15409567581001.36713315142
0.6387550.5226187421024.88341324448
0.6487748.36432968731045.87708252258
0.6587949.8502796731060.33437641846
0.6688153.58325390171065.12738026174
0.6788357.70616043981057.74744779361
0.6888560.09588258641037.26140978320
0.6988758.61067642461004.22829051439
0.788951.3491097654960.747137642412
0.7189136.8774394821910.118402379573
0.7289314.390332751856.214046959313
0.7389483.7846564944803.099278815199
0.7489645.6434687117754.573836250192
0.7589801.1424486337713.351387160147
0.7689951.8998951977681.279394786488
0.7790099.7926679613659.09883847789
0.7890246.7556711224646.375845015473
0.7990394.5757180437641.802142569995
0.890544.686533415643.174486235787
0.8190697.9734944343647.599179936637
0.8290854.6048620154651.396623492596
0.8391013.918026076650.783507226619
0.8491174.3997590341642.037290403162
0.8591333.8025360431622.456467419116
0.8691489.4282530838590.546141656536
0.8791638.5811136487546.955200218453
0.8891779.143845616494.55719150396
0.8991910.1805872324438.376270967649
0.992032.4515445496385.276479212736
0.9192148.786062329342.367782672637
0.9292264.413644293315.736373411242
0.9392387.4874286807309.914630605522
0.9492529.8671301158330.231084538915
0.9592707.4280364172384.166390633873
0.9692937.7341512226470.680004934313
0.9793231.542807182561.107683707597
0.9893574.981930195602.89479475903
0.9993906.5008509265575.893472548601


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')