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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 01 Jun 2009 03:08:50 -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/Jun/01/t1243847510heiulsci50ifmdg.htm/, Retrieved Mon, 13 May 2024 01:50:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40857, Retrieved Mon, 13 May 2024 01:50:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [datareeks - H-D p...] [2009-06-01 09:08:50] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
40.04
40.04
40.03
40.03
41.63
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.38
42.06
42.06
42.05
42.05
42.05
42.05
44.36
44.48
44.49
44.49
44.49
44.49
44.49
44.48
44.48
44.48
44.48
44.48
44.48
44.49
44.49
44.49
44.49
44.49
44.49
44.49
44.49
45.5
45.94
45.95
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.97
46.06
47.9
47.93
47.94
47.94
47.94
47.94
47.94
47.94
47.94
47.94




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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40857&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40857&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40857&T=0

As an alternative you can also use a 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' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0140.04516674811790.0565126592912766
0.0240.10096805397780.203937427125842
0.0340.22343481542170.423318680937115
0.0440.42234802309030.642987404329184
0.0540.68321445258240.785319372388958
0.0640.97287183038430.811428702198665
0.0741.25348820794520.732284944234612
0.0841.49568407295790.590081401426828
0.0941.68480450238870.431488990925201
0.141.8200080580610.289874615073896
0.1141.90934275674570.180650912449285
0.1241.96431933185090.105251063433988
0.1341.99603293988530.0577045408878645
0.1442.01327734343450.0299316832641819
0.1542.02216598538990.0147731073552719
0.1642.0265471230040.00704258569752898
0.1742.02866085616710.00340186948254569
0.1842.02974008798570.00211960668703218
0.1942.03045414302280.00248210767477105
0.242.03120007735360.00402661774729491
0.2142.0322848310380.00691195867229242
0.2242.03404314439410.0116425746774817
0.2342.03692427638740.0192450451998980
0.2442.04156638277010.0310994942023563
0.2542.04886484481110.0488301587357621
0.2642.06003054995910.074392302218405
0.2742.07662618797740.109880941101016
0.2842.10056363990170.157245336791096
0.2942.13404467545030.217878062369868
0.342.17943162100670.29225520810039
0.3142.23904481706650.379405229485784
0.3242.31489849459470.476812532296259
0.3342.40840339775430.580184021416952
0.3442.52007896324990.683630342457056
0.3542.64932568748510.780224646760342
0.3642.79430603868750.862854275535231
0.3742.95196875725120.924808529704769
0.3843.11822848094750.960982549029307
0.3943.28828497001210.968348165882236
0.443.45704008693480.946508424453768
0.4143.61955232284870.897683430711552
0.4243.77146240886670.826277640030983
0.4343.90933066531460.738295678960201
0.4444.03084511484080.640537283423952
0.4544.13488427679630.539747723779485
0.4644.22144405838280.441888856836599
0.4744.29145884318730.351634990452273
0.4844.34655915554850.272163588851183
0.4944.38881101944240.205174073875191
0.544.42047652159810.151025737935358
0.5144.44382388392370.109210388500273
0.5244.46100184482860.0786861530487389
0.5344.47398024265450.0585240840946877
0.5444.48454830281350.0482277375641702
0.5544.4943550381620.0480056606175021
0.5644.50497226920440.0574420028334443
0.5744.51795950184630.0757096126034545
0.5844.53491072878750.102570814020962
0.5944.55746592865090.138080143363557
0.644.58727476438270.182172201528316
0.6144.62590699593410.234182811556041
0.6244.67471340653840.2925800033353
0.6344.73465187996430.354776442172572
0.6444.80610400821790.417223426045919
0.6544.88871580061880.475459995923648
0.6644.98129899827470.524915430102777
0.6745.08182509161430.561115941074484
0.6845.18753187959570.58052440108547
0.6945.29514398129590.581042761323801
0.745.40118796105750.562407624353066
0.7145.50236480162540.526361059074967
0.7245.59593222961550.47656178859887
0.7345.68004965080320.418042183855349
0.7445.75404848862450.356934099070669
0.7545.81860603838840.299778842166105
0.7645.87581445878570.253659550302258
0.7745.92914123484370.226402217647376
0.7845.98327006830930.226054911837429
0.7946.04379532577960.257285930620090
0.846.11673068227680.318670239338234
0.8146.20780077085480.404385490435481
0.8246.32152911508040.505871008019017
0.8346.46021958730720.611335231016654
0.8446.62303298808980.706045558906227
0.8546.80544143820620.774185669665765
0.8646.99934488563740.801988058623407
0.8747.19401425849190.78127208566241
0.8847.37778947571050.712401374427443
0.8947.5401778637510.604818904910268
0.947.67379019374530.475122007372746
0.9147.77553538686630.342765592376796
0.9247.84671575451210.224995760977912
0.9347.89205003711860.132794745993166
0.9447.91803208038740.0693737022742068
0.9547.93122868130840.0314076783665026
0.9647.93704512023190.0119248139398133
0.9747.93920234569030.00361647525416832
0.9847.93984324157990.000790519617213303
0.9947.93998243110419.79389995255275e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 40.0451667481179 & 0.0565126592912766 \tabularnewline
0.02 & 40.1009680539778 & 0.203937427125842 \tabularnewline
0.03 & 40.2234348154217 & 0.423318680937115 \tabularnewline
0.04 & 40.4223480230903 & 0.642987404329184 \tabularnewline
0.05 & 40.6832144525824 & 0.785319372388958 \tabularnewline
0.06 & 40.9728718303843 & 0.811428702198665 \tabularnewline
0.07 & 41.2534882079452 & 0.732284944234612 \tabularnewline
0.08 & 41.4956840729579 & 0.590081401426828 \tabularnewline
0.09 & 41.6848045023887 & 0.431488990925201 \tabularnewline
0.1 & 41.820008058061 & 0.289874615073896 \tabularnewline
0.11 & 41.9093427567457 & 0.180650912449285 \tabularnewline
0.12 & 41.9643193318509 & 0.105251063433988 \tabularnewline
0.13 & 41.9960329398853 & 0.0577045408878645 \tabularnewline
0.14 & 42.0132773434345 & 0.0299316832641819 \tabularnewline
0.15 & 42.0221659853899 & 0.0147731073552719 \tabularnewline
0.16 & 42.026547123004 & 0.00704258569752898 \tabularnewline
0.17 & 42.0286608561671 & 0.00340186948254569 \tabularnewline
0.18 & 42.0297400879857 & 0.00211960668703218 \tabularnewline
0.19 & 42.0304541430228 & 0.00248210767477105 \tabularnewline
0.2 & 42.0312000773536 & 0.00402661774729491 \tabularnewline
0.21 & 42.032284831038 & 0.00691195867229242 \tabularnewline
0.22 & 42.0340431443941 & 0.0116425746774817 \tabularnewline
0.23 & 42.0369242763874 & 0.0192450451998980 \tabularnewline
0.24 & 42.0415663827701 & 0.0310994942023563 \tabularnewline
0.25 & 42.0488648448111 & 0.0488301587357621 \tabularnewline
0.26 & 42.0600305499591 & 0.074392302218405 \tabularnewline
0.27 & 42.0766261879774 & 0.109880941101016 \tabularnewline
0.28 & 42.1005636399017 & 0.157245336791096 \tabularnewline
0.29 & 42.1340446754503 & 0.217878062369868 \tabularnewline
0.3 & 42.1794316210067 & 0.29225520810039 \tabularnewline
0.31 & 42.2390448170665 & 0.379405229485784 \tabularnewline
0.32 & 42.3148984945947 & 0.476812532296259 \tabularnewline
0.33 & 42.4084033977543 & 0.580184021416952 \tabularnewline
0.34 & 42.5200789632499 & 0.683630342457056 \tabularnewline
0.35 & 42.6493256874851 & 0.780224646760342 \tabularnewline
0.36 & 42.7943060386875 & 0.862854275535231 \tabularnewline
0.37 & 42.9519687572512 & 0.924808529704769 \tabularnewline
0.38 & 43.1182284809475 & 0.960982549029307 \tabularnewline
0.39 & 43.2882849700121 & 0.968348165882236 \tabularnewline
0.4 & 43.4570400869348 & 0.946508424453768 \tabularnewline
0.41 & 43.6195523228487 & 0.897683430711552 \tabularnewline
0.42 & 43.7714624088667 & 0.826277640030983 \tabularnewline
0.43 & 43.9093306653146 & 0.738295678960201 \tabularnewline
0.44 & 44.0308451148408 & 0.640537283423952 \tabularnewline
0.45 & 44.1348842767963 & 0.539747723779485 \tabularnewline
0.46 & 44.2214440583828 & 0.441888856836599 \tabularnewline
0.47 & 44.2914588431873 & 0.351634990452273 \tabularnewline
0.48 & 44.3465591555485 & 0.272163588851183 \tabularnewline
0.49 & 44.3888110194424 & 0.205174073875191 \tabularnewline
0.5 & 44.4204765215981 & 0.151025737935358 \tabularnewline
0.51 & 44.4438238839237 & 0.109210388500273 \tabularnewline
0.52 & 44.4610018448286 & 0.0786861530487389 \tabularnewline
0.53 & 44.4739802426545 & 0.0585240840946877 \tabularnewline
0.54 & 44.4845483028135 & 0.0482277375641702 \tabularnewline
0.55 & 44.494355038162 & 0.0480056606175021 \tabularnewline
0.56 & 44.5049722692044 & 0.0574420028334443 \tabularnewline
0.57 & 44.5179595018463 & 0.0757096126034545 \tabularnewline
0.58 & 44.5349107287875 & 0.102570814020962 \tabularnewline
0.59 & 44.5574659286509 & 0.138080143363557 \tabularnewline
0.6 & 44.5872747643827 & 0.182172201528316 \tabularnewline
0.61 & 44.6259069959341 & 0.234182811556041 \tabularnewline
0.62 & 44.6747134065384 & 0.2925800033353 \tabularnewline
0.63 & 44.7346518799643 & 0.354776442172572 \tabularnewline
0.64 & 44.8061040082179 & 0.417223426045919 \tabularnewline
0.65 & 44.8887158006188 & 0.475459995923648 \tabularnewline
0.66 & 44.9812989982747 & 0.524915430102777 \tabularnewline
0.67 & 45.0818250916143 & 0.561115941074484 \tabularnewline
0.68 & 45.1875318795957 & 0.58052440108547 \tabularnewline
0.69 & 45.2951439812959 & 0.581042761323801 \tabularnewline
0.7 & 45.4011879610575 & 0.562407624353066 \tabularnewline
0.71 & 45.5023648016254 & 0.526361059074967 \tabularnewline
0.72 & 45.5959322296155 & 0.47656178859887 \tabularnewline
0.73 & 45.6800496508032 & 0.418042183855349 \tabularnewline
0.74 & 45.7540484886245 & 0.356934099070669 \tabularnewline
0.75 & 45.8186060383884 & 0.299778842166105 \tabularnewline
0.76 & 45.8758144587857 & 0.253659550302258 \tabularnewline
0.77 & 45.9291412348437 & 0.226402217647376 \tabularnewline
0.78 & 45.9832700683093 & 0.226054911837429 \tabularnewline
0.79 & 46.0437953257796 & 0.257285930620090 \tabularnewline
0.8 & 46.1167306822768 & 0.318670239338234 \tabularnewline
0.81 & 46.2078007708548 & 0.404385490435481 \tabularnewline
0.82 & 46.3215291150804 & 0.505871008019017 \tabularnewline
0.83 & 46.4602195873072 & 0.611335231016654 \tabularnewline
0.84 & 46.6230329880898 & 0.706045558906227 \tabularnewline
0.85 & 46.8054414382062 & 0.774185669665765 \tabularnewline
0.86 & 46.9993448856374 & 0.801988058623407 \tabularnewline
0.87 & 47.1940142584919 & 0.78127208566241 \tabularnewline
0.88 & 47.3777894757105 & 0.712401374427443 \tabularnewline
0.89 & 47.540177863751 & 0.604818904910268 \tabularnewline
0.9 & 47.6737901937453 & 0.475122007372746 \tabularnewline
0.91 & 47.7755353868663 & 0.342765592376796 \tabularnewline
0.92 & 47.8467157545121 & 0.224995760977912 \tabularnewline
0.93 & 47.8920500371186 & 0.132794745993166 \tabularnewline
0.94 & 47.9180320803874 & 0.0693737022742068 \tabularnewline
0.95 & 47.9312286813084 & 0.0314076783665026 \tabularnewline
0.96 & 47.9370451202319 & 0.0119248139398133 \tabularnewline
0.97 & 47.9392023456903 & 0.00361647525416832 \tabularnewline
0.98 & 47.9398432415799 & 0.000790519617213303 \tabularnewline
0.99 & 47.9399824311041 & 9.79389995255275e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40857&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]40.0451667481179[/C][C]0.0565126592912766[/C][/ROW]
[ROW][C]0.02[/C][C]40.1009680539778[/C][C]0.203937427125842[/C][/ROW]
[ROW][C]0.03[/C][C]40.2234348154217[/C][C]0.423318680937115[/C][/ROW]
[ROW][C]0.04[/C][C]40.4223480230903[/C][C]0.642987404329184[/C][/ROW]
[ROW][C]0.05[/C][C]40.6832144525824[/C][C]0.785319372388958[/C][/ROW]
[ROW][C]0.06[/C][C]40.9728718303843[/C][C]0.811428702198665[/C][/ROW]
[ROW][C]0.07[/C][C]41.2534882079452[/C][C]0.732284944234612[/C][/ROW]
[ROW][C]0.08[/C][C]41.4956840729579[/C][C]0.590081401426828[/C][/ROW]
[ROW][C]0.09[/C][C]41.6848045023887[/C][C]0.431488990925201[/C][/ROW]
[ROW][C]0.1[/C][C]41.820008058061[/C][C]0.289874615073896[/C][/ROW]
[ROW][C]0.11[/C][C]41.9093427567457[/C][C]0.180650912449285[/C][/ROW]
[ROW][C]0.12[/C][C]41.9643193318509[/C][C]0.105251063433988[/C][/ROW]
[ROW][C]0.13[/C][C]41.9960329398853[/C][C]0.0577045408878645[/C][/ROW]
[ROW][C]0.14[/C][C]42.0132773434345[/C][C]0.0299316832641819[/C][/ROW]
[ROW][C]0.15[/C][C]42.0221659853899[/C][C]0.0147731073552719[/C][/ROW]
[ROW][C]0.16[/C][C]42.026547123004[/C][C]0.00704258569752898[/C][/ROW]
[ROW][C]0.17[/C][C]42.0286608561671[/C][C]0.00340186948254569[/C][/ROW]
[ROW][C]0.18[/C][C]42.0297400879857[/C][C]0.00211960668703218[/C][/ROW]
[ROW][C]0.19[/C][C]42.0304541430228[/C][C]0.00248210767477105[/C][/ROW]
[ROW][C]0.2[/C][C]42.0312000773536[/C][C]0.00402661774729491[/C][/ROW]
[ROW][C]0.21[/C][C]42.032284831038[/C][C]0.00691195867229242[/C][/ROW]
[ROW][C]0.22[/C][C]42.0340431443941[/C][C]0.0116425746774817[/C][/ROW]
[ROW][C]0.23[/C][C]42.0369242763874[/C][C]0.0192450451998980[/C][/ROW]
[ROW][C]0.24[/C][C]42.0415663827701[/C][C]0.0310994942023563[/C][/ROW]
[ROW][C]0.25[/C][C]42.0488648448111[/C][C]0.0488301587357621[/C][/ROW]
[ROW][C]0.26[/C][C]42.0600305499591[/C][C]0.074392302218405[/C][/ROW]
[ROW][C]0.27[/C][C]42.0766261879774[/C][C]0.109880941101016[/C][/ROW]
[ROW][C]0.28[/C][C]42.1005636399017[/C][C]0.157245336791096[/C][/ROW]
[ROW][C]0.29[/C][C]42.1340446754503[/C][C]0.217878062369868[/C][/ROW]
[ROW][C]0.3[/C][C]42.1794316210067[/C][C]0.29225520810039[/C][/ROW]
[ROW][C]0.31[/C][C]42.2390448170665[/C][C]0.379405229485784[/C][/ROW]
[ROW][C]0.32[/C][C]42.3148984945947[/C][C]0.476812532296259[/C][/ROW]
[ROW][C]0.33[/C][C]42.4084033977543[/C][C]0.580184021416952[/C][/ROW]
[ROW][C]0.34[/C][C]42.5200789632499[/C][C]0.683630342457056[/C][/ROW]
[ROW][C]0.35[/C][C]42.6493256874851[/C][C]0.780224646760342[/C][/ROW]
[ROW][C]0.36[/C][C]42.7943060386875[/C][C]0.862854275535231[/C][/ROW]
[ROW][C]0.37[/C][C]42.9519687572512[/C][C]0.924808529704769[/C][/ROW]
[ROW][C]0.38[/C][C]43.1182284809475[/C][C]0.960982549029307[/C][/ROW]
[ROW][C]0.39[/C][C]43.2882849700121[/C][C]0.968348165882236[/C][/ROW]
[ROW][C]0.4[/C][C]43.4570400869348[/C][C]0.946508424453768[/C][/ROW]
[ROW][C]0.41[/C][C]43.6195523228487[/C][C]0.897683430711552[/C][/ROW]
[ROW][C]0.42[/C][C]43.7714624088667[/C][C]0.826277640030983[/C][/ROW]
[ROW][C]0.43[/C][C]43.9093306653146[/C][C]0.738295678960201[/C][/ROW]
[ROW][C]0.44[/C][C]44.0308451148408[/C][C]0.640537283423952[/C][/ROW]
[ROW][C]0.45[/C][C]44.1348842767963[/C][C]0.539747723779485[/C][/ROW]
[ROW][C]0.46[/C][C]44.2214440583828[/C][C]0.441888856836599[/C][/ROW]
[ROW][C]0.47[/C][C]44.2914588431873[/C][C]0.351634990452273[/C][/ROW]
[ROW][C]0.48[/C][C]44.3465591555485[/C][C]0.272163588851183[/C][/ROW]
[ROW][C]0.49[/C][C]44.3888110194424[/C][C]0.205174073875191[/C][/ROW]
[ROW][C]0.5[/C][C]44.4204765215981[/C][C]0.151025737935358[/C][/ROW]
[ROW][C]0.51[/C][C]44.4438238839237[/C][C]0.109210388500273[/C][/ROW]
[ROW][C]0.52[/C][C]44.4610018448286[/C][C]0.0786861530487389[/C][/ROW]
[ROW][C]0.53[/C][C]44.4739802426545[/C][C]0.0585240840946877[/C][/ROW]
[ROW][C]0.54[/C][C]44.4845483028135[/C][C]0.0482277375641702[/C][/ROW]
[ROW][C]0.55[/C][C]44.494355038162[/C][C]0.0480056606175021[/C][/ROW]
[ROW][C]0.56[/C][C]44.5049722692044[/C][C]0.0574420028334443[/C][/ROW]
[ROW][C]0.57[/C][C]44.5179595018463[/C][C]0.0757096126034545[/C][/ROW]
[ROW][C]0.58[/C][C]44.5349107287875[/C][C]0.102570814020962[/C][/ROW]
[ROW][C]0.59[/C][C]44.5574659286509[/C][C]0.138080143363557[/C][/ROW]
[ROW][C]0.6[/C][C]44.5872747643827[/C][C]0.182172201528316[/C][/ROW]
[ROW][C]0.61[/C][C]44.6259069959341[/C][C]0.234182811556041[/C][/ROW]
[ROW][C]0.62[/C][C]44.6747134065384[/C][C]0.2925800033353[/C][/ROW]
[ROW][C]0.63[/C][C]44.7346518799643[/C][C]0.354776442172572[/C][/ROW]
[ROW][C]0.64[/C][C]44.8061040082179[/C][C]0.417223426045919[/C][/ROW]
[ROW][C]0.65[/C][C]44.8887158006188[/C][C]0.475459995923648[/C][/ROW]
[ROW][C]0.66[/C][C]44.9812989982747[/C][C]0.524915430102777[/C][/ROW]
[ROW][C]0.67[/C][C]45.0818250916143[/C][C]0.561115941074484[/C][/ROW]
[ROW][C]0.68[/C][C]45.1875318795957[/C][C]0.58052440108547[/C][/ROW]
[ROW][C]0.69[/C][C]45.2951439812959[/C][C]0.581042761323801[/C][/ROW]
[ROW][C]0.7[/C][C]45.4011879610575[/C][C]0.562407624353066[/C][/ROW]
[ROW][C]0.71[/C][C]45.5023648016254[/C][C]0.526361059074967[/C][/ROW]
[ROW][C]0.72[/C][C]45.5959322296155[/C][C]0.47656178859887[/C][/ROW]
[ROW][C]0.73[/C][C]45.6800496508032[/C][C]0.418042183855349[/C][/ROW]
[ROW][C]0.74[/C][C]45.7540484886245[/C][C]0.356934099070669[/C][/ROW]
[ROW][C]0.75[/C][C]45.8186060383884[/C][C]0.299778842166105[/C][/ROW]
[ROW][C]0.76[/C][C]45.8758144587857[/C][C]0.253659550302258[/C][/ROW]
[ROW][C]0.77[/C][C]45.9291412348437[/C][C]0.226402217647376[/C][/ROW]
[ROW][C]0.78[/C][C]45.9832700683093[/C][C]0.226054911837429[/C][/ROW]
[ROW][C]0.79[/C][C]46.0437953257796[/C][C]0.257285930620090[/C][/ROW]
[ROW][C]0.8[/C][C]46.1167306822768[/C][C]0.318670239338234[/C][/ROW]
[ROW][C]0.81[/C][C]46.2078007708548[/C][C]0.404385490435481[/C][/ROW]
[ROW][C]0.82[/C][C]46.3215291150804[/C][C]0.505871008019017[/C][/ROW]
[ROW][C]0.83[/C][C]46.4602195873072[/C][C]0.611335231016654[/C][/ROW]
[ROW][C]0.84[/C][C]46.6230329880898[/C][C]0.706045558906227[/C][/ROW]
[ROW][C]0.85[/C][C]46.8054414382062[/C][C]0.774185669665765[/C][/ROW]
[ROW][C]0.86[/C][C]46.9993448856374[/C][C]0.801988058623407[/C][/ROW]
[ROW][C]0.87[/C][C]47.1940142584919[/C][C]0.78127208566241[/C][/ROW]
[ROW][C]0.88[/C][C]47.3777894757105[/C][C]0.712401374427443[/C][/ROW]
[ROW][C]0.89[/C][C]47.540177863751[/C][C]0.604818904910268[/C][/ROW]
[ROW][C]0.9[/C][C]47.6737901937453[/C][C]0.475122007372746[/C][/ROW]
[ROW][C]0.91[/C][C]47.7755353868663[/C][C]0.342765592376796[/C][/ROW]
[ROW][C]0.92[/C][C]47.8467157545121[/C][C]0.224995760977912[/C][/ROW]
[ROW][C]0.93[/C][C]47.8920500371186[/C][C]0.132794745993166[/C][/ROW]
[ROW][C]0.94[/C][C]47.9180320803874[/C][C]0.0693737022742068[/C][/ROW]
[ROW][C]0.95[/C][C]47.9312286813084[/C][C]0.0314076783665026[/C][/ROW]
[ROW][C]0.96[/C][C]47.9370451202319[/C][C]0.0119248139398133[/C][/ROW]
[ROW][C]0.97[/C][C]47.9392023456903[/C][C]0.00361647525416832[/C][/ROW]
[ROW][C]0.98[/C][C]47.9398432415799[/C][C]0.000790519617213303[/C][/ROW]
[ROW][C]0.99[/C][C]47.9399824311041[/C][C]9.79389995255275e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40857&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40857&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0140.04516674811790.0565126592912766
0.0240.10096805397780.203937427125842
0.0340.22343481542170.423318680937115
0.0440.42234802309030.642987404329184
0.0540.68321445258240.785319372388958
0.0640.97287183038430.811428702198665
0.0741.25348820794520.732284944234612
0.0841.49568407295790.590081401426828
0.0941.68480450238870.431488990925201
0.141.8200080580610.289874615073896
0.1141.90934275674570.180650912449285
0.1241.96431933185090.105251063433988
0.1341.99603293988530.0577045408878645
0.1442.01327734343450.0299316832641819
0.1542.02216598538990.0147731073552719
0.1642.0265471230040.00704258569752898
0.1742.02866085616710.00340186948254569
0.1842.02974008798570.00211960668703218
0.1942.03045414302280.00248210767477105
0.242.03120007735360.00402661774729491
0.2142.0322848310380.00691195867229242
0.2242.03404314439410.0116425746774817
0.2342.03692427638740.0192450451998980
0.2442.04156638277010.0310994942023563
0.2542.04886484481110.0488301587357621
0.2642.06003054995910.074392302218405
0.2742.07662618797740.109880941101016
0.2842.10056363990170.157245336791096
0.2942.13404467545030.217878062369868
0.342.17943162100670.29225520810039
0.3142.23904481706650.379405229485784
0.3242.31489849459470.476812532296259
0.3342.40840339775430.580184021416952
0.3442.52007896324990.683630342457056
0.3542.64932568748510.780224646760342
0.3642.79430603868750.862854275535231
0.3742.95196875725120.924808529704769
0.3843.11822848094750.960982549029307
0.3943.28828497001210.968348165882236
0.443.45704008693480.946508424453768
0.4143.61955232284870.897683430711552
0.4243.77146240886670.826277640030983
0.4343.90933066531460.738295678960201
0.4444.03084511484080.640537283423952
0.4544.13488427679630.539747723779485
0.4644.22144405838280.441888856836599
0.4744.29145884318730.351634990452273
0.4844.34655915554850.272163588851183
0.4944.38881101944240.205174073875191
0.544.42047652159810.151025737935358
0.5144.44382388392370.109210388500273
0.5244.46100184482860.0786861530487389
0.5344.47398024265450.0585240840946877
0.5444.48454830281350.0482277375641702
0.5544.4943550381620.0480056606175021
0.5644.50497226920440.0574420028334443
0.5744.51795950184630.0757096126034545
0.5844.53491072878750.102570814020962
0.5944.55746592865090.138080143363557
0.644.58727476438270.182172201528316
0.6144.62590699593410.234182811556041
0.6244.67471340653840.2925800033353
0.6344.73465187996430.354776442172572
0.6444.80610400821790.417223426045919
0.6544.88871580061880.475459995923648
0.6644.98129899827470.524915430102777
0.6745.08182509161430.561115941074484
0.6845.18753187959570.58052440108547
0.6945.29514398129590.581042761323801
0.745.40118796105750.562407624353066
0.7145.50236480162540.526361059074967
0.7245.59593222961550.47656178859887
0.7345.68004965080320.418042183855349
0.7445.75404848862450.356934099070669
0.7545.81860603838840.299778842166105
0.7645.87581445878570.253659550302258
0.7745.92914123484370.226402217647376
0.7845.98327006830930.226054911837429
0.7946.04379532577960.257285930620090
0.846.11673068227680.318670239338234
0.8146.20780077085480.404385490435481
0.8246.32152911508040.505871008019017
0.8346.46021958730720.611335231016654
0.8446.62303298808980.706045558906227
0.8546.80544143820620.774185669665765
0.8646.99934488563740.801988058623407
0.8747.19401425849190.78127208566241
0.8847.37778947571050.712401374427443
0.8947.5401778637510.604818904910268
0.947.67379019374530.475122007372746
0.9147.77553538686630.342765592376796
0.9247.84671575451210.224995760977912
0.9347.89205003711860.132794745993166
0.9447.91803208038740.0693737022742068
0.9547.93122868130840.0314076783665026
0.9647.93704512023190.0119248139398133
0.9747.93920234569030.00361647525416832
0.9847.93984324157990.000790519617213303
0.9947.93998243110419.79389995255275e-05



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')