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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 computationFri, 28 Dec 2012 18:52:34 -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/2012/Dec/28/t1356739009ponkwc87qc2aj7p.htm/, Retrieved Mon, 29 Apr 2024 13:11:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204854, Retrieved Mon, 29 Apr 2024 13:11:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [Gemiddelde prijs ...] [2012-12-28 23:52:34] [5ebf8d45d440e2351c3182f635b9c69f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
434.49
434.43
434.07
434.52
433.52
433.52
433.52
433.26
433.63
434.67
432.87
432.49
432.5
430.88
431.64
433.7
434.47
434.38
434.9
435.3
435.37
436.61
436.08
436.08
436.08
435.99
437.72
438.73
437.7
438.13
438.13
438.31
439.67
442
442.61
442.27
442.27
443.72
443.83
444.01
445.01
444.9
444.86
445.36
447.99
449.08
448.66
447.65
447.69
448.17
450.62
450.38
449.18
448.73
448.73
449.55
449.71
449.93
452.23
452.98
452.88
452.37
452.76
452.96
455.21
453.6
453.6
453.86
454.21
454.62
456.28
456.17

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 Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204854&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204854&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204854&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 Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01431.1406738075130.729685775857786
0.02431.5341585430390.693253432233282
0.03431.9315225308810.627969622200583
0.04432.2713733466990.555073047796372
0.05432.547469826590.503294358632336
0.06432.7738398640140.472223394209765
0.07432.9647005227820.444971771649463
0.08433.1290738464490.412605621242514
0.09433.2722188400660.378471187452124
0.1433.3982606350420.351955304173085
0.11433.5116095477410.340676024874044
0.12433.6169373149770.345716973717565
0.13433.7184251464010.362321645026242
0.14433.8190504438080.382142602528149
0.15433.920330080710.400339420342528
0.16434.022564472230.413165644836296
0.17434.1253970113050.421453473795592
0.18434.2284358286980.42727145931279
0.19434.3317307654090.435928331562118
0.2434.4359972753390.451405225739233
0.21434.5425815486650.476895053053844
0.22434.6532366613080.513142608113338
0.23434.7698152214540.558264554478986
0.24434.8939814908630.610678572320313
0.25435.0270163826270.666792017258741
0.26435.1697470496560.724870565608237
0.27435.3225930819680.782869953264893
0.28435.4856936101960.840784724693329
0.29435.6590682752390.899312027630846
0.3435.8427690683410.957932463351944
0.31436.0369944479711.01977461590975
0.32436.2421549581321.08511564853928
0.33436.4588942438061.15500813663829
0.34436.6880766381111.23066877083057
0.35436.9307515491511.31252694689717
0.36437.1880982203491.40180156669477
0.37437.4613467498471.498165526913
0.38437.7516674301341.60188994945001
0.39438.060023648451.71139947064891
0.4438.3869938499311.82387385577059
0.41438.7325822978611.93580839669164
0.42439.0960513708272.041361789533
0.43439.475814545592.13480200304031
0.44439.8694254858052.21090630576305
0.45440.2736844132832.26403429577424
0.46440.6848611617532.29360007822973
0.47441.0990103710372.29777154333521
0.48441.5123341962412.27905265162356
0.49441.9215365349122.24097918182174
0.5442.3241125110082.19107511599802
0.51442.7185273598112.13445719423963
0.52443.1042571824792.07797528032625
0.53443.4816863005612.02809911230383
0.54443.8518780786731.98667411521268
0.55444.2162547793221.95698122928126
0.56444.5762350090741.93684521521372
0.57444.9328833222841.9229318394271
0.58445.2866250192821.90973032895975
0.59445.6370701884381.89249061348606
0.6445.9829754144421.86518295394168
0.61446.3223511075461.8232821200694
0.62446.6527000004421.76420841459748
0.63446.9713517678041.68770248098394
0.64447.2758438632061.59625847706395
0.65447.564292599681.49408743079639
0.66447.8357024426071.38693361332316
0.67448.0901742509151.2813177884804
0.68448.3289913541.18488976373945
0.69448.5545811056141.10329480052311
0.7448.7703642435851.04241709747066
0.71448.9805120079841.00544646557813
0.72449.1896313485210.994202140017234
0.73449.4023945939841.00783257039399
0.74449.6231268143931.0432793671364
0.75449.8553672506761.0946722850327
0.76450.1014338448851.1549104179681
0.77450.3620406867831.21509654508741
0.78450.6360399836171.2650503573979
0.79450.9203712647281.29591748228177
0.8451.2102884931051.29974851066789
0.81451.4998931461551.27198697370148
0.82451.7829315604331.21283079646068
0.83452.0537350941771.12706645350703
0.84452.3081202288171.02323931586789
0.85452.5440526466090.912579019767814
0.86452.7619324328660.807820074999257
0.87452.9644696059320.718476095412071
0.88453.156253810730.651220118991423
0.89453.3432245822030.607727149634921
0.9453.5322697731040.587211600523002
0.91453.7310968612050.58752816026791
0.92453.9483342402460.60737340309697
0.93454.193511126010.645794085766868
0.94454.4760934789090.700180763403307
0.95454.8022243320160.76134513987166
0.96455.1679327644270.804011656570843
0.97455.5498828670390.777555547966954
0.98455.9002187893650.622480947221201
0.99456.1573559594060.343065462750156

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 431.140673807513 & 0.729685775857786 \tabularnewline
0.02 & 431.534158543039 & 0.693253432233282 \tabularnewline
0.03 & 431.931522530881 & 0.627969622200583 \tabularnewline
0.04 & 432.271373346699 & 0.555073047796372 \tabularnewline
0.05 & 432.54746982659 & 0.503294358632336 \tabularnewline
0.06 & 432.773839864014 & 0.472223394209765 \tabularnewline
0.07 & 432.964700522782 & 0.444971771649463 \tabularnewline
0.08 & 433.129073846449 & 0.412605621242514 \tabularnewline
0.09 & 433.272218840066 & 0.378471187452124 \tabularnewline
0.1 & 433.398260635042 & 0.351955304173085 \tabularnewline
0.11 & 433.511609547741 & 0.340676024874044 \tabularnewline
0.12 & 433.616937314977 & 0.345716973717565 \tabularnewline
0.13 & 433.718425146401 & 0.362321645026242 \tabularnewline
0.14 & 433.819050443808 & 0.382142602528149 \tabularnewline
0.15 & 433.92033008071 & 0.400339420342528 \tabularnewline
0.16 & 434.02256447223 & 0.413165644836296 \tabularnewline
0.17 & 434.125397011305 & 0.421453473795592 \tabularnewline
0.18 & 434.228435828698 & 0.42727145931279 \tabularnewline
0.19 & 434.331730765409 & 0.435928331562118 \tabularnewline
0.2 & 434.435997275339 & 0.451405225739233 \tabularnewline
0.21 & 434.542581548665 & 0.476895053053844 \tabularnewline
0.22 & 434.653236661308 & 0.513142608113338 \tabularnewline
0.23 & 434.769815221454 & 0.558264554478986 \tabularnewline
0.24 & 434.893981490863 & 0.610678572320313 \tabularnewline
0.25 & 435.027016382627 & 0.666792017258741 \tabularnewline
0.26 & 435.169747049656 & 0.724870565608237 \tabularnewline
0.27 & 435.322593081968 & 0.782869953264893 \tabularnewline
0.28 & 435.485693610196 & 0.840784724693329 \tabularnewline
0.29 & 435.659068275239 & 0.899312027630846 \tabularnewline
0.3 & 435.842769068341 & 0.957932463351944 \tabularnewline
0.31 & 436.036994447971 & 1.01977461590975 \tabularnewline
0.32 & 436.242154958132 & 1.08511564853928 \tabularnewline
0.33 & 436.458894243806 & 1.15500813663829 \tabularnewline
0.34 & 436.688076638111 & 1.23066877083057 \tabularnewline
0.35 & 436.930751549151 & 1.31252694689717 \tabularnewline
0.36 & 437.188098220349 & 1.40180156669477 \tabularnewline
0.37 & 437.461346749847 & 1.498165526913 \tabularnewline
0.38 & 437.751667430134 & 1.60188994945001 \tabularnewline
0.39 & 438.06002364845 & 1.71139947064891 \tabularnewline
0.4 & 438.386993849931 & 1.82387385577059 \tabularnewline
0.41 & 438.732582297861 & 1.93580839669164 \tabularnewline
0.42 & 439.096051370827 & 2.041361789533 \tabularnewline
0.43 & 439.47581454559 & 2.13480200304031 \tabularnewline
0.44 & 439.869425485805 & 2.21090630576305 \tabularnewline
0.45 & 440.273684413283 & 2.26403429577424 \tabularnewline
0.46 & 440.684861161753 & 2.29360007822973 \tabularnewline
0.47 & 441.099010371037 & 2.29777154333521 \tabularnewline
0.48 & 441.512334196241 & 2.27905265162356 \tabularnewline
0.49 & 441.921536534912 & 2.24097918182174 \tabularnewline
0.5 & 442.324112511008 & 2.19107511599802 \tabularnewline
0.51 & 442.718527359811 & 2.13445719423963 \tabularnewline
0.52 & 443.104257182479 & 2.07797528032625 \tabularnewline
0.53 & 443.481686300561 & 2.02809911230383 \tabularnewline
0.54 & 443.851878078673 & 1.98667411521268 \tabularnewline
0.55 & 444.216254779322 & 1.95698122928126 \tabularnewline
0.56 & 444.576235009074 & 1.93684521521372 \tabularnewline
0.57 & 444.932883322284 & 1.9229318394271 \tabularnewline
0.58 & 445.286625019282 & 1.90973032895975 \tabularnewline
0.59 & 445.637070188438 & 1.89249061348606 \tabularnewline
0.6 & 445.982975414442 & 1.86518295394168 \tabularnewline
0.61 & 446.322351107546 & 1.8232821200694 \tabularnewline
0.62 & 446.652700000442 & 1.76420841459748 \tabularnewline
0.63 & 446.971351767804 & 1.68770248098394 \tabularnewline
0.64 & 447.275843863206 & 1.59625847706395 \tabularnewline
0.65 & 447.56429259968 & 1.49408743079639 \tabularnewline
0.66 & 447.835702442607 & 1.38693361332316 \tabularnewline
0.67 & 448.090174250915 & 1.2813177884804 \tabularnewline
0.68 & 448.328991354 & 1.18488976373945 \tabularnewline
0.69 & 448.554581105614 & 1.10329480052311 \tabularnewline
0.7 & 448.770364243585 & 1.04241709747066 \tabularnewline
0.71 & 448.980512007984 & 1.00544646557813 \tabularnewline
0.72 & 449.189631348521 & 0.994202140017234 \tabularnewline
0.73 & 449.402394593984 & 1.00783257039399 \tabularnewline
0.74 & 449.623126814393 & 1.0432793671364 \tabularnewline
0.75 & 449.855367250676 & 1.0946722850327 \tabularnewline
0.76 & 450.101433844885 & 1.1549104179681 \tabularnewline
0.77 & 450.362040686783 & 1.21509654508741 \tabularnewline
0.78 & 450.636039983617 & 1.2650503573979 \tabularnewline
0.79 & 450.920371264728 & 1.29591748228177 \tabularnewline
0.8 & 451.210288493105 & 1.29974851066789 \tabularnewline
0.81 & 451.499893146155 & 1.27198697370148 \tabularnewline
0.82 & 451.782931560433 & 1.21283079646068 \tabularnewline
0.83 & 452.053735094177 & 1.12706645350703 \tabularnewline
0.84 & 452.308120228817 & 1.02323931586789 \tabularnewline
0.85 & 452.544052646609 & 0.912579019767814 \tabularnewline
0.86 & 452.761932432866 & 0.807820074999257 \tabularnewline
0.87 & 452.964469605932 & 0.718476095412071 \tabularnewline
0.88 & 453.15625381073 & 0.651220118991423 \tabularnewline
0.89 & 453.343224582203 & 0.607727149634921 \tabularnewline
0.9 & 453.532269773104 & 0.587211600523002 \tabularnewline
0.91 & 453.731096861205 & 0.58752816026791 \tabularnewline
0.92 & 453.948334240246 & 0.60737340309697 \tabularnewline
0.93 & 454.19351112601 & 0.645794085766868 \tabularnewline
0.94 & 454.476093478909 & 0.700180763403307 \tabularnewline
0.95 & 454.802224332016 & 0.76134513987166 \tabularnewline
0.96 & 455.167932764427 & 0.804011656570843 \tabularnewline
0.97 & 455.549882867039 & 0.777555547966954 \tabularnewline
0.98 & 455.900218789365 & 0.622480947221201 \tabularnewline
0.99 & 456.157355959406 & 0.343065462750156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204854&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]431.140673807513[/C][C]0.729685775857786[/C][/ROW]
[ROW][C]0.02[/C][C]431.534158543039[/C][C]0.693253432233282[/C][/ROW]
[ROW][C]0.03[/C][C]431.931522530881[/C][C]0.627969622200583[/C][/ROW]
[ROW][C]0.04[/C][C]432.271373346699[/C][C]0.555073047796372[/C][/ROW]
[ROW][C]0.05[/C][C]432.54746982659[/C][C]0.503294358632336[/C][/ROW]
[ROW][C]0.06[/C][C]432.773839864014[/C][C]0.472223394209765[/C][/ROW]
[ROW][C]0.07[/C][C]432.964700522782[/C][C]0.444971771649463[/C][/ROW]
[ROW][C]0.08[/C][C]433.129073846449[/C][C]0.412605621242514[/C][/ROW]
[ROW][C]0.09[/C][C]433.272218840066[/C][C]0.378471187452124[/C][/ROW]
[ROW][C]0.1[/C][C]433.398260635042[/C][C]0.351955304173085[/C][/ROW]
[ROW][C]0.11[/C][C]433.511609547741[/C][C]0.340676024874044[/C][/ROW]
[ROW][C]0.12[/C][C]433.616937314977[/C][C]0.345716973717565[/C][/ROW]
[ROW][C]0.13[/C][C]433.718425146401[/C][C]0.362321645026242[/C][/ROW]
[ROW][C]0.14[/C][C]433.819050443808[/C][C]0.382142602528149[/C][/ROW]
[ROW][C]0.15[/C][C]433.92033008071[/C][C]0.400339420342528[/C][/ROW]
[ROW][C]0.16[/C][C]434.02256447223[/C][C]0.413165644836296[/C][/ROW]
[ROW][C]0.17[/C][C]434.125397011305[/C][C]0.421453473795592[/C][/ROW]
[ROW][C]0.18[/C][C]434.228435828698[/C][C]0.42727145931279[/C][/ROW]
[ROW][C]0.19[/C][C]434.331730765409[/C][C]0.435928331562118[/C][/ROW]
[ROW][C]0.2[/C][C]434.435997275339[/C][C]0.451405225739233[/C][/ROW]
[ROW][C]0.21[/C][C]434.542581548665[/C][C]0.476895053053844[/C][/ROW]
[ROW][C]0.22[/C][C]434.653236661308[/C][C]0.513142608113338[/C][/ROW]
[ROW][C]0.23[/C][C]434.769815221454[/C][C]0.558264554478986[/C][/ROW]
[ROW][C]0.24[/C][C]434.893981490863[/C][C]0.610678572320313[/C][/ROW]
[ROW][C]0.25[/C][C]435.027016382627[/C][C]0.666792017258741[/C][/ROW]
[ROW][C]0.26[/C][C]435.169747049656[/C][C]0.724870565608237[/C][/ROW]
[ROW][C]0.27[/C][C]435.322593081968[/C][C]0.782869953264893[/C][/ROW]
[ROW][C]0.28[/C][C]435.485693610196[/C][C]0.840784724693329[/C][/ROW]
[ROW][C]0.29[/C][C]435.659068275239[/C][C]0.899312027630846[/C][/ROW]
[ROW][C]0.3[/C][C]435.842769068341[/C][C]0.957932463351944[/C][/ROW]
[ROW][C]0.31[/C][C]436.036994447971[/C][C]1.01977461590975[/C][/ROW]
[ROW][C]0.32[/C][C]436.242154958132[/C][C]1.08511564853928[/C][/ROW]
[ROW][C]0.33[/C][C]436.458894243806[/C][C]1.15500813663829[/C][/ROW]
[ROW][C]0.34[/C][C]436.688076638111[/C][C]1.23066877083057[/C][/ROW]
[ROW][C]0.35[/C][C]436.930751549151[/C][C]1.31252694689717[/C][/ROW]
[ROW][C]0.36[/C][C]437.188098220349[/C][C]1.40180156669477[/C][/ROW]
[ROW][C]0.37[/C][C]437.461346749847[/C][C]1.498165526913[/C][/ROW]
[ROW][C]0.38[/C][C]437.751667430134[/C][C]1.60188994945001[/C][/ROW]
[ROW][C]0.39[/C][C]438.06002364845[/C][C]1.71139947064891[/C][/ROW]
[ROW][C]0.4[/C][C]438.386993849931[/C][C]1.82387385577059[/C][/ROW]
[ROW][C]0.41[/C][C]438.732582297861[/C][C]1.93580839669164[/C][/ROW]
[ROW][C]0.42[/C][C]439.096051370827[/C][C]2.041361789533[/C][/ROW]
[ROW][C]0.43[/C][C]439.47581454559[/C][C]2.13480200304031[/C][/ROW]
[ROW][C]0.44[/C][C]439.869425485805[/C][C]2.21090630576305[/C][/ROW]
[ROW][C]0.45[/C][C]440.273684413283[/C][C]2.26403429577424[/C][/ROW]
[ROW][C]0.46[/C][C]440.684861161753[/C][C]2.29360007822973[/C][/ROW]
[ROW][C]0.47[/C][C]441.099010371037[/C][C]2.29777154333521[/C][/ROW]
[ROW][C]0.48[/C][C]441.512334196241[/C][C]2.27905265162356[/C][/ROW]
[ROW][C]0.49[/C][C]441.921536534912[/C][C]2.24097918182174[/C][/ROW]
[ROW][C]0.5[/C][C]442.324112511008[/C][C]2.19107511599802[/C][/ROW]
[ROW][C]0.51[/C][C]442.718527359811[/C][C]2.13445719423963[/C][/ROW]
[ROW][C]0.52[/C][C]443.104257182479[/C][C]2.07797528032625[/C][/ROW]
[ROW][C]0.53[/C][C]443.481686300561[/C][C]2.02809911230383[/C][/ROW]
[ROW][C]0.54[/C][C]443.851878078673[/C][C]1.98667411521268[/C][/ROW]
[ROW][C]0.55[/C][C]444.216254779322[/C][C]1.95698122928126[/C][/ROW]
[ROW][C]0.56[/C][C]444.576235009074[/C][C]1.93684521521372[/C][/ROW]
[ROW][C]0.57[/C][C]444.932883322284[/C][C]1.9229318394271[/C][/ROW]
[ROW][C]0.58[/C][C]445.286625019282[/C][C]1.90973032895975[/C][/ROW]
[ROW][C]0.59[/C][C]445.637070188438[/C][C]1.89249061348606[/C][/ROW]
[ROW][C]0.6[/C][C]445.982975414442[/C][C]1.86518295394168[/C][/ROW]
[ROW][C]0.61[/C][C]446.322351107546[/C][C]1.8232821200694[/C][/ROW]
[ROW][C]0.62[/C][C]446.652700000442[/C][C]1.76420841459748[/C][/ROW]
[ROW][C]0.63[/C][C]446.971351767804[/C][C]1.68770248098394[/C][/ROW]
[ROW][C]0.64[/C][C]447.275843863206[/C][C]1.59625847706395[/C][/ROW]
[ROW][C]0.65[/C][C]447.56429259968[/C][C]1.49408743079639[/C][/ROW]
[ROW][C]0.66[/C][C]447.835702442607[/C][C]1.38693361332316[/C][/ROW]
[ROW][C]0.67[/C][C]448.090174250915[/C][C]1.2813177884804[/C][/ROW]
[ROW][C]0.68[/C][C]448.328991354[/C][C]1.18488976373945[/C][/ROW]
[ROW][C]0.69[/C][C]448.554581105614[/C][C]1.10329480052311[/C][/ROW]
[ROW][C]0.7[/C][C]448.770364243585[/C][C]1.04241709747066[/C][/ROW]
[ROW][C]0.71[/C][C]448.980512007984[/C][C]1.00544646557813[/C][/ROW]
[ROW][C]0.72[/C][C]449.189631348521[/C][C]0.994202140017234[/C][/ROW]
[ROW][C]0.73[/C][C]449.402394593984[/C][C]1.00783257039399[/C][/ROW]
[ROW][C]0.74[/C][C]449.623126814393[/C][C]1.0432793671364[/C][/ROW]
[ROW][C]0.75[/C][C]449.855367250676[/C][C]1.0946722850327[/C][/ROW]
[ROW][C]0.76[/C][C]450.101433844885[/C][C]1.1549104179681[/C][/ROW]
[ROW][C]0.77[/C][C]450.362040686783[/C][C]1.21509654508741[/C][/ROW]
[ROW][C]0.78[/C][C]450.636039983617[/C][C]1.2650503573979[/C][/ROW]
[ROW][C]0.79[/C][C]450.920371264728[/C][C]1.29591748228177[/C][/ROW]
[ROW][C]0.8[/C][C]451.210288493105[/C][C]1.29974851066789[/C][/ROW]
[ROW][C]0.81[/C][C]451.499893146155[/C][C]1.27198697370148[/C][/ROW]
[ROW][C]0.82[/C][C]451.782931560433[/C][C]1.21283079646068[/C][/ROW]
[ROW][C]0.83[/C][C]452.053735094177[/C][C]1.12706645350703[/C][/ROW]
[ROW][C]0.84[/C][C]452.308120228817[/C][C]1.02323931586789[/C][/ROW]
[ROW][C]0.85[/C][C]452.544052646609[/C][C]0.912579019767814[/C][/ROW]
[ROW][C]0.86[/C][C]452.761932432866[/C][C]0.807820074999257[/C][/ROW]
[ROW][C]0.87[/C][C]452.964469605932[/C][C]0.718476095412071[/C][/ROW]
[ROW][C]0.88[/C][C]453.15625381073[/C][C]0.651220118991423[/C][/ROW]
[ROW][C]0.89[/C][C]453.343224582203[/C][C]0.607727149634921[/C][/ROW]
[ROW][C]0.9[/C][C]453.532269773104[/C][C]0.587211600523002[/C][/ROW]
[ROW][C]0.91[/C][C]453.731096861205[/C][C]0.58752816026791[/C][/ROW]
[ROW][C]0.92[/C][C]453.948334240246[/C][C]0.60737340309697[/C][/ROW]
[ROW][C]0.93[/C][C]454.19351112601[/C][C]0.645794085766868[/C][/ROW]
[ROW][C]0.94[/C][C]454.476093478909[/C][C]0.700180763403307[/C][/ROW]
[ROW][C]0.95[/C][C]454.802224332016[/C][C]0.76134513987166[/C][/ROW]
[ROW][C]0.96[/C][C]455.167932764427[/C][C]0.804011656570843[/C][/ROW]
[ROW][C]0.97[/C][C]455.549882867039[/C][C]0.777555547966954[/C][/ROW]
[ROW][C]0.98[/C][C]455.900218789365[/C][C]0.622480947221201[/C][/ROW]
[ROW][C]0.99[/C][C]456.157355959406[/C][C]0.343065462750156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204854&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204854&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
0.01431.1406738075130.729685775857786
0.02431.5341585430390.693253432233282
0.03431.9315225308810.627969622200583
0.04432.2713733466990.555073047796372
0.05432.547469826590.503294358632336
0.06432.7738398640140.472223394209765
0.07432.9647005227820.444971771649463
0.08433.1290738464490.412605621242514
0.09433.2722188400660.378471187452124
0.1433.3982606350420.351955304173085
0.11433.5116095477410.340676024874044
0.12433.6169373149770.345716973717565
0.13433.7184251464010.362321645026242
0.14433.8190504438080.382142602528149
0.15433.920330080710.400339420342528
0.16434.022564472230.413165644836296
0.17434.1253970113050.421453473795592
0.18434.2284358286980.42727145931279
0.19434.3317307654090.435928331562118
0.2434.4359972753390.451405225739233
0.21434.5425815486650.476895053053844
0.22434.6532366613080.513142608113338
0.23434.7698152214540.558264554478986
0.24434.8939814908630.610678572320313
0.25435.0270163826270.666792017258741
0.26435.1697470496560.724870565608237
0.27435.3225930819680.782869953264893
0.28435.4856936101960.840784724693329
0.29435.6590682752390.899312027630846
0.3435.8427690683410.957932463351944
0.31436.0369944479711.01977461590975
0.32436.2421549581321.08511564853928
0.33436.4588942438061.15500813663829
0.34436.6880766381111.23066877083057
0.35436.9307515491511.31252694689717
0.36437.1880982203491.40180156669477
0.37437.4613467498471.498165526913
0.38437.7516674301341.60188994945001
0.39438.060023648451.71139947064891
0.4438.3869938499311.82387385577059
0.41438.7325822978611.93580839669164
0.42439.0960513708272.041361789533
0.43439.475814545592.13480200304031
0.44439.8694254858052.21090630576305
0.45440.2736844132832.26403429577424
0.46440.6848611617532.29360007822973
0.47441.0990103710372.29777154333521
0.48441.5123341962412.27905265162356
0.49441.9215365349122.24097918182174
0.5442.3241125110082.19107511599802
0.51442.7185273598112.13445719423963
0.52443.1042571824792.07797528032625
0.53443.4816863005612.02809911230383
0.54443.8518780786731.98667411521268
0.55444.2162547793221.95698122928126
0.56444.5762350090741.93684521521372
0.57444.9328833222841.9229318394271
0.58445.2866250192821.90973032895975
0.59445.6370701884381.89249061348606
0.6445.9829754144421.86518295394168
0.61446.3223511075461.8232821200694
0.62446.6527000004421.76420841459748
0.63446.9713517678041.68770248098394
0.64447.2758438632061.59625847706395
0.65447.564292599681.49408743079639
0.66447.8357024426071.38693361332316
0.67448.0901742509151.2813177884804
0.68448.3289913541.18488976373945
0.69448.5545811056141.10329480052311
0.7448.7703642435851.04241709747066
0.71448.9805120079841.00544646557813
0.72449.1896313485210.994202140017234
0.73449.4023945939841.00783257039399
0.74449.6231268143931.0432793671364
0.75449.8553672506761.0946722850327
0.76450.1014338448851.1549104179681
0.77450.3620406867831.21509654508741
0.78450.6360399836171.2650503573979
0.79450.9203712647281.29591748228177
0.8451.2102884931051.29974851066789
0.81451.4998931461551.27198697370148
0.82451.7829315604331.21283079646068
0.83452.0537350941771.12706645350703
0.84452.3081202288171.02323931586789
0.85452.5440526466090.912579019767814
0.86452.7619324328660.807820074999257
0.87452.9644696059320.718476095412071
0.88453.156253810730.651220118991423
0.89453.3432245822030.607727149634921
0.9453.5322697731040.587211600523002
0.91453.7310968612050.58752816026791
0.92453.9483342402460.60737340309697
0.93454.193511126010.645794085766868
0.94454.4760934789090.700180763403307
0.95454.8022243320160.76134513987166
0.96455.1679327644270.804011656570843
0.97455.5498828670390.777555547966954
0.98455.9002187893650.622480947221201
0.99456.1573559594060.343065462750156


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')