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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, 07 Mar 2010 07:55:18 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/07/t1267973913paaqy1poau1ee0v.htm/, Retrieved Fri, 19 Apr 2024 13:52:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74056, Retrieved Fri, 19 Apr 2024 13:52:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact145

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] [Harrell-Davis Qua...] [2010-03-07 14:55:18] [b58dfa1c2951471c561e0016df4afa08] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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1
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3
1
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1
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-1
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-1
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-6
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-2
1
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0
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3
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0
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6

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74056&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74056&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74056&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-5.718736979243170.798446136458002
0.02-5.321588221513680.635437909563057
0.03-4.929507121522830.62217488095268
0.04-4.569956921409380.700992144388321
0.05-4.227808579437020.79594140963638
0.06-3.889614003086850.87926947849579
0.07-3.554334013016590.931464237906197
0.08-3.229836349124520.933159497934661
0.09-2.927478757921390.878387321014373
0.1-2.657306690348900.7807389657807
0.11-2.424405361410190.667804857835075
0.12-2.227275224611470.570864140627064
0.13-2.058566378578590.515170652462925
0.14-1.907493682158120.511211757704778
0.15-1.762729465589440.551500051622862
0.16-1.614749286680840.618973698507596
0.17-1.457143687324520.697040097640739
0.18-1.286913074902650.773016662728888
0.19-1.104044186574650.838123459044472
0.2-0.910726876383550.886932394389547
0.21-0.7104969971111460.916768221566126
0.22-0.5074746850382160.927135189997793
0.23-0.3057646196271160.919208145458842
0.24-0.1090194261559590.895473368614094
0.250.07985986666661870.859473886010514
0.260.2589124587687040.815604418729323
0.270.4272091276433260.768850851678132
0.280.5848477247817660.724413041248213
0.290.7328503475973040.6871691590602
0.30.872966099607460.66098226526941
0.311.007396953165580.647974178479062
0.321.138479197356100.648038110006752
0.331.268363360826900.658880986943376
0.341.398737502053230.676617735160348
0.351.530631608671570.696630300435527
0.361.66432663553340.71438303154309
0.371.799374208750380.726023655943345
0.381.934716209758430.728782276655606
0.392.068880331870320.721173965468811
0.42.200219751208500.703095018117537
0.412.327162352309040.675727102497473
0.422.448436719103470.641384591528828
0.432.563247324189910.603236116935035
0.442.671379140883080.564957929688323
0.452.773221555664360.530338579111527
0.462.869712219032490.502798980328052
0.472.962212272858640.484881800393833
0.483.052333757407440.477773186234912
0.493.141746245905040.481072914017457
0.53.231991437187540.492977763019881
0.513.324330903493310.510802783151235
0.523.419643978299960.531588793634186
0.533.518381670960230.552590574713332
0.543.620571195445060.57155225584347
0.553.725857054708590.586785366742369
0.563.833560788739970.59710510407272
0.573.942743217949810.601676182669135
0.584.052259327979120.599838753731629
0.594.160804438986930.590999918807039
0.64.2669579133380.574634367374667
0.614.369234696126810.550364996620781
0.624.466154091375610.518167032849888
0.634.556329792108040.478549271900844
0.644.638577367444420.432668289716018
0.654.712028066312210.382340453937012
0.664.776233560871540.329941049851377
0.674.831246483674380.2781940484194
0.684.877665875555720.229950049615664
0.694.916642908051610.188008937575261
0.74.949847657234990.155143453509750
0.714.979399916054950.134268187089667
0.725.007765272065060.128222936773729
0.735.037613413547630.138365640066577
0.745.071632331874440.163380049761187
0.755.112294044473220.200152774561729
0.765.16157782556070.244777788718795
0.775.220675639087610.292606293245109
0.785.289726904858900.338196215215435
0.795.367647087532680.375679802144878
0.85.452116478991520.399567328896123
0.815.539774400127060.405759757691153
0.825.626619902327740.392442199259414
0.835.708563081551040.360614753584421
0.845.78201995795150.314000210736776
0.855.844419123171860.258330509042878
0.865.894503464760010.200145316988726
0.875.932364054347190.14547794258776
0.885.959218519178360.0987678374085182
0.895.97701642977510.0623082068391804
0.95.987997008153950.0363028872698318
0.915.994337764601030.0194107824222111
0.925.99805251411340.0095624910405825
0.936.001412964944560.00530133430164863
0.946.008490950281330.00967639857386983
0.956.028813700099880.0298465910919649
0.966.083359607553250.0848943073315902
0.976.207872027105530.209591671858727
0.986.436610066042690.436349326641734
0.996.746812116115240.740632305406544

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -5.71873697924317 & 0.798446136458002 \tabularnewline
0.02 & -5.32158822151368 & 0.635437909563057 \tabularnewline
0.03 & -4.92950712152283 & 0.62217488095268 \tabularnewline
0.04 & -4.56995692140938 & 0.700992144388321 \tabularnewline
0.05 & -4.22780857943702 & 0.79594140963638 \tabularnewline
0.06 & -3.88961400308685 & 0.87926947849579 \tabularnewline
0.07 & -3.55433401301659 & 0.931464237906197 \tabularnewline
0.08 & -3.22983634912452 & 0.933159497934661 \tabularnewline
0.09 & -2.92747875792139 & 0.878387321014373 \tabularnewline
0.1 & -2.65730669034890 & 0.7807389657807 \tabularnewline
0.11 & -2.42440536141019 & 0.667804857835075 \tabularnewline
0.12 & -2.22727522461147 & 0.570864140627064 \tabularnewline
0.13 & -2.05856637857859 & 0.515170652462925 \tabularnewline
0.14 & -1.90749368215812 & 0.511211757704778 \tabularnewline
0.15 & -1.76272946558944 & 0.551500051622862 \tabularnewline
0.16 & -1.61474928668084 & 0.618973698507596 \tabularnewline
0.17 & -1.45714368732452 & 0.697040097640739 \tabularnewline
0.18 & -1.28691307490265 & 0.773016662728888 \tabularnewline
0.19 & -1.10404418657465 & 0.838123459044472 \tabularnewline
0.2 & -0.91072687638355 & 0.886932394389547 \tabularnewline
0.21 & -0.710496997111146 & 0.916768221566126 \tabularnewline
0.22 & -0.507474685038216 & 0.927135189997793 \tabularnewline
0.23 & -0.305764619627116 & 0.919208145458842 \tabularnewline
0.24 & -0.109019426155959 & 0.895473368614094 \tabularnewline
0.25 & 0.0798598666666187 & 0.859473886010514 \tabularnewline
0.26 & 0.258912458768704 & 0.815604418729323 \tabularnewline
0.27 & 0.427209127643326 & 0.768850851678132 \tabularnewline
0.28 & 0.584847724781766 & 0.724413041248213 \tabularnewline
0.29 & 0.732850347597304 & 0.6871691590602 \tabularnewline
0.3 & 0.87296609960746 & 0.66098226526941 \tabularnewline
0.31 & 1.00739695316558 & 0.647974178479062 \tabularnewline
0.32 & 1.13847919735610 & 0.648038110006752 \tabularnewline
0.33 & 1.26836336082690 & 0.658880986943376 \tabularnewline
0.34 & 1.39873750205323 & 0.676617735160348 \tabularnewline
0.35 & 1.53063160867157 & 0.696630300435527 \tabularnewline
0.36 & 1.6643266355334 & 0.71438303154309 \tabularnewline
0.37 & 1.79937420875038 & 0.726023655943345 \tabularnewline
0.38 & 1.93471620975843 & 0.728782276655606 \tabularnewline
0.39 & 2.06888033187032 & 0.721173965468811 \tabularnewline
0.4 & 2.20021975120850 & 0.703095018117537 \tabularnewline
0.41 & 2.32716235230904 & 0.675727102497473 \tabularnewline
0.42 & 2.44843671910347 & 0.641384591528828 \tabularnewline
0.43 & 2.56324732418991 & 0.603236116935035 \tabularnewline
0.44 & 2.67137914088308 & 0.564957929688323 \tabularnewline
0.45 & 2.77322155566436 & 0.530338579111527 \tabularnewline
0.46 & 2.86971221903249 & 0.502798980328052 \tabularnewline
0.47 & 2.96221227285864 & 0.484881800393833 \tabularnewline
0.48 & 3.05233375740744 & 0.477773186234912 \tabularnewline
0.49 & 3.14174624590504 & 0.481072914017457 \tabularnewline
0.5 & 3.23199143718754 & 0.492977763019881 \tabularnewline
0.51 & 3.32433090349331 & 0.510802783151235 \tabularnewline
0.52 & 3.41964397829996 & 0.531588793634186 \tabularnewline
0.53 & 3.51838167096023 & 0.552590574713332 \tabularnewline
0.54 & 3.62057119544506 & 0.57155225584347 \tabularnewline
0.55 & 3.72585705470859 & 0.586785366742369 \tabularnewline
0.56 & 3.83356078873997 & 0.59710510407272 \tabularnewline
0.57 & 3.94274321794981 & 0.601676182669135 \tabularnewline
0.58 & 4.05225932797912 & 0.599838753731629 \tabularnewline
0.59 & 4.16080443898693 & 0.590999918807039 \tabularnewline
0.6 & 4.266957913338 & 0.574634367374667 \tabularnewline
0.61 & 4.36923469612681 & 0.550364996620781 \tabularnewline
0.62 & 4.46615409137561 & 0.518167032849888 \tabularnewline
0.63 & 4.55632979210804 & 0.478549271900844 \tabularnewline
0.64 & 4.63857736744442 & 0.432668289716018 \tabularnewline
0.65 & 4.71202806631221 & 0.382340453937012 \tabularnewline
0.66 & 4.77623356087154 & 0.329941049851377 \tabularnewline
0.67 & 4.83124648367438 & 0.2781940484194 \tabularnewline
0.68 & 4.87766587555572 & 0.229950049615664 \tabularnewline
0.69 & 4.91664290805161 & 0.188008937575261 \tabularnewline
0.7 & 4.94984765723499 & 0.155143453509750 \tabularnewline
0.71 & 4.97939991605495 & 0.134268187089667 \tabularnewline
0.72 & 5.00776527206506 & 0.128222936773729 \tabularnewline
0.73 & 5.03761341354763 & 0.138365640066577 \tabularnewline
0.74 & 5.07163233187444 & 0.163380049761187 \tabularnewline
0.75 & 5.11229404447322 & 0.200152774561729 \tabularnewline
0.76 & 5.1615778255607 & 0.244777788718795 \tabularnewline
0.77 & 5.22067563908761 & 0.292606293245109 \tabularnewline
0.78 & 5.28972690485890 & 0.338196215215435 \tabularnewline
0.79 & 5.36764708753268 & 0.375679802144878 \tabularnewline
0.8 & 5.45211647899152 & 0.399567328896123 \tabularnewline
0.81 & 5.53977440012706 & 0.405759757691153 \tabularnewline
0.82 & 5.62661990232774 & 0.392442199259414 \tabularnewline
0.83 & 5.70856308155104 & 0.360614753584421 \tabularnewline
0.84 & 5.7820199579515 & 0.314000210736776 \tabularnewline
0.85 & 5.84441912317186 & 0.258330509042878 \tabularnewline
0.86 & 5.89450346476001 & 0.200145316988726 \tabularnewline
0.87 & 5.93236405434719 & 0.14547794258776 \tabularnewline
0.88 & 5.95921851917836 & 0.0987678374085182 \tabularnewline
0.89 & 5.9770164297751 & 0.0623082068391804 \tabularnewline
0.9 & 5.98799700815395 & 0.0363028872698318 \tabularnewline
0.91 & 5.99433776460103 & 0.0194107824222111 \tabularnewline
0.92 & 5.9980525141134 & 0.0095624910405825 \tabularnewline
0.93 & 6.00141296494456 & 0.00530133430164863 \tabularnewline
0.94 & 6.00849095028133 & 0.00967639857386983 \tabularnewline
0.95 & 6.02881370009988 & 0.0298465910919649 \tabularnewline
0.96 & 6.08335960755325 & 0.0848943073315902 \tabularnewline
0.97 & 6.20787202710553 & 0.209591671858727 \tabularnewline
0.98 & 6.43661006604269 & 0.436349326641734 \tabularnewline
0.99 & 6.74681211611524 & 0.740632305406544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74056&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]-5.71873697924317[/C][C]0.798446136458002[/C][/ROW]
[ROW][C]0.02[/C][C]-5.32158822151368[/C][C]0.635437909563057[/C][/ROW]
[ROW][C]0.03[/C][C]-4.92950712152283[/C][C]0.62217488095268[/C][/ROW]
[ROW][C]0.04[/C][C]-4.56995692140938[/C][C]0.700992144388321[/C][/ROW]
[ROW][C]0.05[/C][C]-4.22780857943702[/C][C]0.79594140963638[/C][/ROW]
[ROW][C]0.06[/C][C]-3.88961400308685[/C][C]0.87926947849579[/C][/ROW]
[ROW][C]0.07[/C][C]-3.55433401301659[/C][C]0.931464237906197[/C][/ROW]
[ROW][C]0.08[/C][C]-3.22983634912452[/C][C]0.933159497934661[/C][/ROW]
[ROW][C]0.09[/C][C]-2.92747875792139[/C][C]0.878387321014373[/C][/ROW]
[ROW][C]0.1[/C][C]-2.65730669034890[/C][C]0.7807389657807[/C][/ROW]
[ROW][C]0.11[/C][C]-2.42440536141019[/C][C]0.667804857835075[/C][/ROW]
[ROW][C]0.12[/C][C]-2.22727522461147[/C][C]0.570864140627064[/C][/ROW]
[ROW][C]0.13[/C][C]-2.05856637857859[/C][C]0.515170652462925[/C][/ROW]
[ROW][C]0.14[/C][C]-1.90749368215812[/C][C]0.511211757704778[/C][/ROW]
[ROW][C]0.15[/C][C]-1.76272946558944[/C][C]0.551500051622862[/C][/ROW]
[ROW][C]0.16[/C][C]-1.61474928668084[/C][C]0.618973698507596[/C][/ROW]
[ROW][C]0.17[/C][C]-1.45714368732452[/C][C]0.697040097640739[/C][/ROW]
[ROW][C]0.18[/C][C]-1.28691307490265[/C][C]0.773016662728888[/C][/ROW]
[ROW][C]0.19[/C][C]-1.10404418657465[/C][C]0.838123459044472[/C][/ROW]
[ROW][C]0.2[/C][C]-0.91072687638355[/C][C]0.886932394389547[/C][/ROW]
[ROW][C]0.21[/C][C]-0.710496997111146[/C][C]0.916768221566126[/C][/ROW]
[ROW][C]0.22[/C][C]-0.507474685038216[/C][C]0.927135189997793[/C][/ROW]
[ROW][C]0.23[/C][C]-0.305764619627116[/C][C]0.919208145458842[/C][/ROW]
[ROW][C]0.24[/C][C]-0.109019426155959[/C][C]0.895473368614094[/C][/ROW]
[ROW][C]0.25[/C][C]0.0798598666666187[/C][C]0.859473886010514[/C][/ROW]
[ROW][C]0.26[/C][C]0.258912458768704[/C][C]0.815604418729323[/C][/ROW]
[ROW][C]0.27[/C][C]0.427209127643326[/C][C]0.768850851678132[/C][/ROW]
[ROW][C]0.28[/C][C]0.584847724781766[/C][C]0.724413041248213[/C][/ROW]
[ROW][C]0.29[/C][C]0.732850347597304[/C][C]0.6871691590602[/C][/ROW]
[ROW][C]0.3[/C][C]0.87296609960746[/C][C]0.66098226526941[/C][/ROW]
[ROW][C]0.31[/C][C]1.00739695316558[/C][C]0.647974178479062[/C][/ROW]
[ROW][C]0.32[/C][C]1.13847919735610[/C][C]0.648038110006752[/C][/ROW]
[ROW][C]0.33[/C][C]1.26836336082690[/C][C]0.658880986943376[/C][/ROW]
[ROW][C]0.34[/C][C]1.39873750205323[/C][C]0.676617735160348[/C][/ROW]
[ROW][C]0.35[/C][C]1.53063160867157[/C][C]0.696630300435527[/C][/ROW]
[ROW][C]0.36[/C][C]1.6643266355334[/C][C]0.71438303154309[/C][/ROW]
[ROW][C]0.37[/C][C]1.79937420875038[/C][C]0.726023655943345[/C][/ROW]
[ROW][C]0.38[/C][C]1.93471620975843[/C][C]0.728782276655606[/C][/ROW]
[ROW][C]0.39[/C][C]2.06888033187032[/C][C]0.721173965468811[/C][/ROW]
[ROW][C]0.4[/C][C]2.20021975120850[/C][C]0.703095018117537[/C][/ROW]
[ROW][C]0.41[/C][C]2.32716235230904[/C][C]0.675727102497473[/C][/ROW]
[ROW][C]0.42[/C][C]2.44843671910347[/C][C]0.641384591528828[/C][/ROW]
[ROW][C]0.43[/C][C]2.56324732418991[/C][C]0.603236116935035[/C][/ROW]
[ROW][C]0.44[/C][C]2.67137914088308[/C][C]0.564957929688323[/C][/ROW]
[ROW][C]0.45[/C][C]2.77322155566436[/C][C]0.530338579111527[/C][/ROW]
[ROW][C]0.46[/C][C]2.86971221903249[/C][C]0.502798980328052[/C][/ROW]
[ROW][C]0.47[/C][C]2.96221227285864[/C][C]0.484881800393833[/C][/ROW]
[ROW][C]0.48[/C][C]3.05233375740744[/C][C]0.477773186234912[/C][/ROW]
[ROW][C]0.49[/C][C]3.14174624590504[/C][C]0.481072914017457[/C][/ROW]
[ROW][C]0.5[/C][C]3.23199143718754[/C][C]0.492977763019881[/C][/ROW]
[ROW][C]0.51[/C][C]3.32433090349331[/C][C]0.510802783151235[/C][/ROW]
[ROW][C]0.52[/C][C]3.41964397829996[/C][C]0.531588793634186[/C][/ROW]
[ROW][C]0.53[/C][C]3.51838167096023[/C][C]0.552590574713332[/C][/ROW]
[ROW][C]0.54[/C][C]3.62057119544506[/C][C]0.57155225584347[/C][/ROW]
[ROW][C]0.55[/C][C]3.72585705470859[/C][C]0.586785366742369[/C][/ROW]
[ROW][C]0.56[/C][C]3.83356078873997[/C][C]0.59710510407272[/C][/ROW]
[ROW][C]0.57[/C][C]3.94274321794981[/C][C]0.601676182669135[/C][/ROW]
[ROW][C]0.58[/C][C]4.05225932797912[/C][C]0.599838753731629[/C][/ROW]
[ROW][C]0.59[/C][C]4.16080443898693[/C][C]0.590999918807039[/C][/ROW]
[ROW][C]0.6[/C][C]4.266957913338[/C][C]0.574634367374667[/C][/ROW]
[ROW][C]0.61[/C][C]4.36923469612681[/C][C]0.550364996620781[/C][/ROW]
[ROW][C]0.62[/C][C]4.46615409137561[/C][C]0.518167032849888[/C][/ROW]
[ROW][C]0.63[/C][C]4.55632979210804[/C][C]0.478549271900844[/C][/ROW]
[ROW][C]0.64[/C][C]4.63857736744442[/C][C]0.432668289716018[/C][/ROW]
[ROW][C]0.65[/C][C]4.71202806631221[/C][C]0.382340453937012[/C][/ROW]
[ROW][C]0.66[/C][C]4.77623356087154[/C][C]0.329941049851377[/C][/ROW]
[ROW][C]0.67[/C][C]4.83124648367438[/C][C]0.2781940484194[/C][/ROW]
[ROW][C]0.68[/C][C]4.87766587555572[/C][C]0.229950049615664[/C][/ROW]
[ROW][C]0.69[/C][C]4.91664290805161[/C][C]0.188008937575261[/C][/ROW]
[ROW][C]0.7[/C][C]4.94984765723499[/C][C]0.155143453509750[/C][/ROW]
[ROW][C]0.71[/C][C]4.97939991605495[/C][C]0.134268187089667[/C][/ROW]
[ROW][C]0.72[/C][C]5.00776527206506[/C][C]0.128222936773729[/C][/ROW]
[ROW][C]0.73[/C][C]5.03761341354763[/C][C]0.138365640066577[/C][/ROW]
[ROW][C]0.74[/C][C]5.07163233187444[/C][C]0.163380049761187[/C][/ROW]
[ROW][C]0.75[/C][C]5.11229404447322[/C][C]0.200152774561729[/C][/ROW]
[ROW][C]0.76[/C][C]5.1615778255607[/C][C]0.244777788718795[/C][/ROW]
[ROW][C]0.77[/C][C]5.22067563908761[/C][C]0.292606293245109[/C][/ROW]
[ROW][C]0.78[/C][C]5.28972690485890[/C][C]0.338196215215435[/C][/ROW]
[ROW][C]0.79[/C][C]5.36764708753268[/C][C]0.375679802144878[/C][/ROW]
[ROW][C]0.8[/C][C]5.45211647899152[/C][C]0.399567328896123[/C][/ROW]
[ROW][C]0.81[/C][C]5.53977440012706[/C][C]0.405759757691153[/C][/ROW]
[ROW][C]0.82[/C][C]5.62661990232774[/C][C]0.392442199259414[/C][/ROW]
[ROW][C]0.83[/C][C]5.70856308155104[/C][C]0.360614753584421[/C][/ROW]
[ROW][C]0.84[/C][C]5.7820199579515[/C][C]0.314000210736776[/C][/ROW]
[ROW][C]0.85[/C][C]5.84441912317186[/C][C]0.258330509042878[/C][/ROW]
[ROW][C]0.86[/C][C]5.89450346476001[/C][C]0.200145316988726[/C][/ROW]
[ROW][C]0.87[/C][C]5.93236405434719[/C][C]0.14547794258776[/C][/ROW]
[ROW][C]0.88[/C][C]5.95921851917836[/C][C]0.0987678374085182[/C][/ROW]
[ROW][C]0.89[/C][C]5.9770164297751[/C][C]0.0623082068391804[/C][/ROW]
[ROW][C]0.9[/C][C]5.98799700815395[/C][C]0.0363028872698318[/C][/ROW]
[ROW][C]0.91[/C][C]5.99433776460103[/C][C]0.0194107824222111[/C][/ROW]
[ROW][C]0.92[/C][C]5.9980525141134[/C][C]0.0095624910405825[/C][/ROW]
[ROW][C]0.93[/C][C]6.00141296494456[/C][C]0.00530133430164863[/C][/ROW]
[ROW][C]0.94[/C][C]6.00849095028133[/C][C]0.00967639857386983[/C][/ROW]
[ROW][C]0.95[/C][C]6.02881370009988[/C][C]0.0298465910919649[/C][/ROW]
[ROW][C]0.96[/C][C]6.08335960755325[/C][C]0.0848943073315902[/C][/ROW]
[ROW][C]0.97[/C][C]6.20787202710553[/C][C]0.209591671858727[/C][/ROW]
[ROW][C]0.98[/C][C]6.43661006604269[/C][C]0.436349326641734[/C][/ROW]
[ROW][C]0.99[/C][C]6.74681211611524[/C][C]0.740632305406544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74056&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74056&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
0.01-5.718736979243170.798446136458002
0.02-5.321588221513680.635437909563057
0.03-4.929507121522830.62217488095268
0.04-4.569956921409380.700992144388321
0.05-4.227808579437020.79594140963638
0.06-3.889614003086850.87926947849579
0.07-3.554334013016590.931464237906197
0.08-3.229836349124520.933159497934661
0.09-2.927478757921390.878387321014373
0.1-2.657306690348900.7807389657807
0.11-2.424405361410190.667804857835075
0.12-2.227275224611470.570864140627064
0.13-2.058566378578590.515170652462925
0.14-1.907493682158120.511211757704778
0.15-1.762729465589440.551500051622862
0.16-1.614749286680840.618973698507596
0.17-1.457143687324520.697040097640739
0.18-1.286913074902650.773016662728888
0.19-1.104044186574650.838123459044472
0.2-0.910726876383550.886932394389547
0.21-0.7104969971111460.916768221566126
0.22-0.5074746850382160.927135189997793
0.23-0.3057646196271160.919208145458842
0.24-0.1090194261559590.895473368614094
0.250.07985986666661870.859473886010514
0.260.2589124587687040.815604418729323
0.270.4272091276433260.768850851678132
0.280.5848477247817660.724413041248213
0.290.7328503475973040.6871691590602
0.30.872966099607460.66098226526941
0.311.007396953165580.647974178479062
0.321.138479197356100.648038110006752
0.331.268363360826900.658880986943376
0.341.398737502053230.676617735160348
0.351.530631608671570.696630300435527
0.361.66432663553340.71438303154309
0.371.799374208750380.726023655943345
0.381.934716209758430.728782276655606
0.392.068880331870320.721173965468811
0.42.200219751208500.703095018117537
0.412.327162352309040.675727102497473
0.422.448436719103470.641384591528828
0.432.563247324189910.603236116935035
0.442.671379140883080.564957929688323
0.452.773221555664360.530338579111527
0.462.869712219032490.502798980328052
0.472.962212272858640.484881800393833
0.483.052333757407440.477773186234912
0.493.141746245905040.481072914017457
0.53.231991437187540.492977763019881
0.513.324330903493310.510802783151235
0.523.419643978299960.531588793634186
0.533.518381670960230.552590574713332
0.543.620571195445060.57155225584347
0.553.725857054708590.586785366742369
0.563.833560788739970.59710510407272
0.573.942743217949810.601676182669135
0.584.052259327979120.599838753731629
0.594.160804438986930.590999918807039
0.64.2669579133380.574634367374667
0.614.369234696126810.550364996620781
0.624.466154091375610.518167032849888
0.634.556329792108040.478549271900844
0.644.638577367444420.432668289716018
0.654.712028066312210.382340453937012
0.664.776233560871540.329941049851377
0.674.831246483674380.2781940484194
0.684.877665875555720.229950049615664
0.694.916642908051610.188008937575261
0.74.949847657234990.155143453509750
0.714.979399916054950.134268187089667
0.725.007765272065060.128222936773729
0.735.037613413547630.138365640066577
0.745.071632331874440.163380049761187
0.755.112294044473220.200152774561729
0.765.16157782556070.244777788718795
0.775.220675639087610.292606293245109
0.785.289726904858900.338196215215435
0.795.367647087532680.375679802144878
0.85.452116478991520.399567328896123
0.815.539774400127060.405759757691153
0.825.626619902327740.392442199259414
0.835.708563081551040.360614753584421
0.845.78201995795150.314000210736776
0.855.844419123171860.258330509042878
0.865.894503464760010.200145316988726
0.875.932364054347190.14547794258776
0.885.959218519178360.0987678374085182
0.895.97701642977510.0623082068391804
0.95.987997008153950.0363028872698318
0.915.994337764601030.0194107824222111
0.925.99805251411340.0095624910405825
0.936.001412964944560.00530133430164863
0.946.008490950281330.00967639857386983
0.956.028813700099880.0298465910919649
0.966.083359607553250.0848943073315902
0.976.207872027105530.209591671858727
0.986.436610066042690.436349326641734
0.996.746812116115240.740632305406544


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')