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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 computationSat, 06 Mar 2010 04:51:38 -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/06/t1267876443pfjyx8rb4c8le0s.htm/, Retrieved Sun, 01 Oct 2023 14:28:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74033, Retrieved Sun, 01 Oct 2023 14:28:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen verk...] [2010-03-06 11:51:38] [e8bb75392cb2cf20c26f170b87ccd1b7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
154
96
73
49
36
59
95
169
210
278
298
245
200
118
90
79
78
91
167
169
289
347
375
203
223
104
107
85
75
99
135
211
335
460
488
326
346
261
224
141
148
145
223
272
445
560
612
467
518
404
300
210
196
186
247
343
464
680
711
610
613
392
273
322
189
257
324
404
677
858
895
664
628
308
324
248
272

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=74033&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=74033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74033&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
0.0140.831700394531612.3235213319306
0.0248.249751835151912.3308189287502
0.0355.898212641687212.2563119783990
0.0462.641828004548111.3776510131872
0.0568.21525415711949.96287224424666
0.0672.72592086207018.6674063002699
0.0776.4244151889787.92295199406637
0.0879.58984982498467.75054977262497
0.0982.45801471522227.93965344313088
0.185.19408049628198.30916003242523
0.1187.90394112645618.81142128054397
0.1290.66215520133639.50433246105918
0.1393.535880320603310.4785075927607
0.1496.595103210114411.7882468433963
0.1599.909494677532113.4126807726667
0.16103.53750695880215.2563609943115
0.17107.51435137403617.1740207313804
0.18111.84398062651519.0045510358677
0.19116.49767915915820.6040759030929
0.2121.41934118213521.8721665291802
0.21126.53558066710422.7663469812363
0.22131.76777859454223.3017665993889
0.23137.04309979218423.5394757769939
0.24142.30224594351623.5639927497619
0.25147.50291184326923.4599114051914
0.26152.61916338808823.2944427839904
0.27157.63790199172723.1062852313391
0.28162.55402499936322.9067069834677
0.29167.36582773045022.6864260252336
0.3172.07175833475622.4278367110452
0.31176.66903484171822.1155929127086
0.32181.15405430525321.7455706917130
0.33185.52409501669821.3298113044113
0.34189.77958920405020.8959042533054
0.35193.92622044784020.4846169917944
0.36197.97623557441820.1423227505509
0.37201.94859759969419.9130803051083
0.38205.86788495743619.8299567792914
0.39209.76210895744919.9086625973251
0.4213.65983241202120.1432695729220
0.41217.58709720906820.5069558031056
0.42221.56469283029320.9578257984968
0.43225.60622411728121.4451296282049
0.44229.71728371329721.9188270179481
0.45233.89583353430622.3353027019091
0.46238.13368770607622.6656785089413
0.47242.41880364260222.8968792525006
0.48246.73795881344623.0332188116226
0.49251.07933781931723.0945263372913
0.5255.43458426633923.1097262154033
0.51259.79997839693023.1141337121520
0.52264.17656722310123.1379901915062
0.53268.56927322347823.2036644802008
0.54272.98520914868123.3187384240907
0.55277.43159658972123.4754315314871
0.56281.9137931134423.6532252244713
0.57286.43395232733923.8229229183530
0.58290.99076088778923.95659665815
0.59295.58052066834424.0347633557063
0.6300.19959621118624.056653091861
0.61304.84796709646624.0450438403839
0.62309.53336249072624.0485513056779
0.63314.27526266087824.1415289582707
0.64319.10797232703124.4161836546859
0.65324.08202802314524.9689008373653
0.66329.26339755757125.8848415906736
0.67334.7302420313427.2199905972523
0.68340.56739827248528.9875390535015
0.69346.85914920935431.1507485049020
0.7353.68122648840733.6270211786635
0.71361.09328280291236.2960939918846
0.72369.13323549571639.0166927097483
0.73377.81487080514241.6450551910609
0.74387.12984863104844.0584766061861
0.75397.05468080946946.1782534023988
0.76407.56229320795547.9888839493605
0.77418.63641172542749.5553572558364
0.78430.28539661564251.0192324231768
0.79442.55073239931452.575214650466
0.8455.50490917850354.4106108683698
0.81469.23478440651456.6199346055459
0.82483.81027923915459.1148619857203
0.83499.2441364744561.580693053715
0.84515.45475460305463.5151750088683
0.85532.24778448839364.353819297707
0.86549.32990256606563.6500381034089
0.87566.35842821135361.2531711821465
0.88583.01598311303457.4012968567052
0.89599.08846483913552.6871775920487
0.9614.52879386543247.8693011542768
0.91629.51555142539243.6373782688039
0.92644.55503717632840.5597992974633
0.93660.686470009239.5216630825911
0.94679.75964621406642.5417156593199
0.95704.50353727482852.3770276517937
0.96737.78682711733968.8503718416984
0.97780.5037328965284.4028407283096
0.98828.51428060494284.6206434662249
0.99871.08576149445861.5286890696738

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 40.8317003945316 & 12.3235213319306 \tabularnewline
0.02 & 48.2497518351519 & 12.3308189287502 \tabularnewline
0.03 & 55.8982126416872 & 12.2563119783990 \tabularnewline
0.04 & 62.6418280045481 & 11.3776510131872 \tabularnewline
0.05 & 68.2152541571194 & 9.96287224424666 \tabularnewline
0.06 & 72.7259208620701 & 8.6674063002699 \tabularnewline
0.07 & 76.424415188978 & 7.92295199406637 \tabularnewline
0.08 & 79.5898498249846 & 7.75054977262497 \tabularnewline
0.09 & 82.4580147152222 & 7.93965344313088 \tabularnewline
0.1 & 85.1940804962819 & 8.30916003242523 \tabularnewline
0.11 & 87.9039411264561 & 8.81142128054397 \tabularnewline
0.12 & 90.6621552013363 & 9.50433246105918 \tabularnewline
0.13 & 93.5358803206033 & 10.4785075927607 \tabularnewline
0.14 & 96.5951032101144 & 11.7882468433963 \tabularnewline
0.15 & 99.9094946775321 & 13.4126807726667 \tabularnewline
0.16 & 103.537506958802 & 15.2563609943115 \tabularnewline
0.17 & 107.514351374036 & 17.1740207313804 \tabularnewline
0.18 & 111.843980626515 & 19.0045510358677 \tabularnewline
0.19 & 116.497679159158 & 20.6040759030929 \tabularnewline
0.2 & 121.419341182135 & 21.8721665291802 \tabularnewline
0.21 & 126.535580667104 & 22.7663469812363 \tabularnewline
0.22 & 131.767778594542 & 23.3017665993889 \tabularnewline
0.23 & 137.043099792184 & 23.5394757769939 \tabularnewline
0.24 & 142.302245943516 & 23.5639927497619 \tabularnewline
0.25 & 147.502911843269 & 23.4599114051914 \tabularnewline
0.26 & 152.619163388088 & 23.2944427839904 \tabularnewline
0.27 & 157.637901991727 & 23.1062852313391 \tabularnewline
0.28 & 162.554024999363 & 22.9067069834677 \tabularnewline
0.29 & 167.365827730450 & 22.6864260252336 \tabularnewline
0.3 & 172.071758334756 & 22.4278367110452 \tabularnewline
0.31 & 176.669034841718 & 22.1155929127086 \tabularnewline
0.32 & 181.154054305253 & 21.7455706917130 \tabularnewline
0.33 & 185.524095016698 & 21.3298113044113 \tabularnewline
0.34 & 189.779589204050 & 20.8959042533054 \tabularnewline
0.35 & 193.926220447840 & 20.4846169917944 \tabularnewline
0.36 & 197.976235574418 & 20.1423227505509 \tabularnewline
0.37 & 201.948597599694 & 19.9130803051083 \tabularnewline
0.38 & 205.867884957436 & 19.8299567792914 \tabularnewline
0.39 & 209.762108957449 & 19.9086625973251 \tabularnewline
0.4 & 213.659832412021 & 20.1432695729220 \tabularnewline
0.41 & 217.587097209068 & 20.5069558031056 \tabularnewline
0.42 & 221.564692830293 & 20.9578257984968 \tabularnewline
0.43 & 225.606224117281 & 21.4451296282049 \tabularnewline
0.44 & 229.717283713297 & 21.9188270179481 \tabularnewline
0.45 & 233.895833534306 & 22.3353027019091 \tabularnewline
0.46 & 238.133687706076 & 22.6656785089413 \tabularnewline
0.47 & 242.418803642602 & 22.8968792525006 \tabularnewline
0.48 & 246.737958813446 & 23.0332188116226 \tabularnewline
0.49 & 251.079337819317 & 23.0945263372913 \tabularnewline
0.5 & 255.434584266339 & 23.1097262154033 \tabularnewline
0.51 & 259.799978396930 & 23.1141337121520 \tabularnewline
0.52 & 264.176567223101 & 23.1379901915062 \tabularnewline
0.53 & 268.569273223478 & 23.2036644802008 \tabularnewline
0.54 & 272.985209148681 & 23.3187384240907 \tabularnewline
0.55 & 277.431596589721 & 23.4754315314871 \tabularnewline
0.56 & 281.91379311344 & 23.6532252244713 \tabularnewline
0.57 & 286.433952327339 & 23.8229229183530 \tabularnewline
0.58 & 290.990760887789 & 23.95659665815 \tabularnewline
0.59 & 295.580520668344 & 24.0347633557063 \tabularnewline
0.6 & 300.199596211186 & 24.056653091861 \tabularnewline
0.61 & 304.847967096466 & 24.0450438403839 \tabularnewline
0.62 & 309.533362490726 & 24.0485513056779 \tabularnewline
0.63 & 314.275262660878 & 24.1415289582707 \tabularnewline
0.64 & 319.107972327031 & 24.4161836546859 \tabularnewline
0.65 & 324.082028023145 & 24.9689008373653 \tabularnewline
0.66 & 329.263397557571 & 25.8848415906736 \tabularnewline
0.67 & 334.73024203134 & 27.2199905972523 \tabularnewline
0.68 & 340.567398272485 & 28.9875390535015 \tabularnewline
0.69 & 346.859149209354 & 31.1507485049020 \tabularnewline
0.7 & 353.681226488407 & 33.6270211786635 \tabularnewline
0.71 & 361.093282802912 & 36.2960939918846 \tabularnewline
0.72 & 369.133235495716 & 39.0166927097483 \tabularnewline
0.73 & 377.814870805142 & 41.6450551910609 \tabularnewline
0.74 & 387.129848631048 & 44.0584766061861 \tabularnewline
0.75 & 397.054680809469 & 46.1782534023988 \tabularnewline
0.76 & 407.562293207955 & 47.9888839493605 \tabularnewline
0.77 & 418.636411725427 & 49.5553572558364 \tabularnewline
0.78 & 430.285396615642 & 51.0192324231768 \tabularnewline
0.79 & 442.550732399314 & 52.575214650466 \tabularnewline
0.8 & 455.504909178503 & 54.4106108683698 \tabularnewline
0.81 & 469.234784406514 & 56.6199346055459 \tabularnewline
0.82 & 483.810279239154 & 59.1148619857203 \tabularnewline
0.83 & 499.24413647445 & 61.580693053715 \tabularnewline
0.84 & 515.454754603054 & 63.5151750088683 \tabularnewline
0.85 & 532.247784488393 & 64.353819297707 \tabularnewline
0.86 & 549.329902566065 & 63.6500381034089 \tabularnewline
0.87 & 566.358428211353 & 61.2531711821465 \tabularnewline
0.88 & 583.015983113034 & 57.4012968567052 \tabularnewline
0.89 & 599.088464839135 & 52.6871775920487 \tabularnewline
0.9 & 614.528793865432 & 47.8693011542768 \tabularnewline
0.91 & 629.515551425392 & 43.6373782688039 \tabularnewline
0.92 & 644.555037176328 & 40.5597992974633 \tabularnewline
0.93 & 660.6864700092 & 39.5216630825911 \tabularnewline
0.94 & 679.759646214066 & 42.5417156593199 \tabularnewline
0.95 & 704.503537274828 & 52.3770276517937 \tabularnewline
0.96 & 737.786827117339 & 68.8503718416984 \tabularnewline
0.97 & 780.50373289652 & 84.4028407283096 \tabularnewline
0.98 & 828.514280604942 & 84.6206434662249 \tabularnewline
0.99 & 871.085761494458 & 61.5286890696738 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74033&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]40.8317003945316[/C][C]12.3235213319306[/C][/ROW]
[ROW][C]0.02[/C][C]48.2497518351519[/C][C]12.3308189287502[/C][/ROW]
[ROW][C]0.03[/C][C]55.8982126416872[/C][C]12.2563119783990[/C][/ROW]
[ROW][C]0.04[/C][C]62.6418280045481[/C][C]11.3776510131872[/C][/ROW]
[ROW][C]0.05[/C][C]68.2152541571194[/C][C]9.96287224424666[/C][/ROW]
[ROW][C]0.06[/C][C]72.7259208620701[/C][C]8.6674063002699[/C][/ROW]
[ROW][C]0.07[/C][C]76.424415188978[/C][C]7.92295199406637[/C][/ROW]
[ROW][C]0.08[/C][C]79.5898498249846[/C][C]7.75054977262497[/C][/ROW]
[ROW][C]0.09[/C][C]82.4580147152222[/C][C]7.93965344313088[/C][/ROW]
[ROW][C]0.1[/C][C]85.1940804962819[/C][C]8.30916003242523[/C][/ROW]
[ROW][C]0.11[/C][C]87.9039411264561[/C][C]8.81142128054397[/C][/ROW]
[ROW][C]0.12[/C][C]90.6621552013363[/C][C]9.50433246105918[/C][/ROW]
[ROW][C]0.13[/C][C]93.5358803206033[/C][C]10.4785075927607[/C][/ROW]
[ROW][C]0.14[/C][C]96.5951032101144[/C][C]11.7882468433963[/C][/ROW]
[ROW][C]0.15[/C][C]99.9094946775321[/C][C]13.4126807726667[/C][/ROW]
[ROW][C]0.16[/C][C]103.537506958802[/C][C]15.2563609943115[/C][/ROW]
[ROW][C]0.17[/C][C]107.514351374036[/C][C]17.1740207313804[/C][/ROW]
[ROW][C]0.18[/C][C]111.843980626515[/C][C]19.0045510358677[/C][/ROW]
[ROW][C]0.19[/C][C]116.497679159158[/C][C]20.6040759030929[/C][/ROW]
[ROW][C]0.2[/C][C]121.419341182135[/C][C]21.8721665291802[/C][/ROW]
[ROW][C]0.21[/C][C]126.535580667104[/C][C]22.7663469812363[/C][/ROW]
[ROW][C]0.22[/C][C]131.767778594542[/C][C]23.3017665993889[/C][/ROW]
[ROW][C]0.23[/C][C]137.043099792184[/C][C]23.5394757769939[/C][/ROW]
[ROW][C]0.24[/C][C]142.302245943516[/C][C]23.5639927497619[/C][/ROW]
[ROW][C]0.25[/C][C]147.502911843269[/C][C]23.4599114051914[/C][/ROW]
[ROW][C]0.26[/C][C]152.619163388088[/C][C]23.2944427839904[/C][/ROW]
[ROW][C]0.27[/C][C]157.637901991727[/C][C]23.1062852313391[/C][/ROW]
[ROW][C]0.28[/C][C]162.554024999363[/C][C]22.9067069834677[/C][/ROW]
[ROW][C]0.29[/C][C]167.365827730450[/C][C]22.6864260252336[/C][/ROW]
[ROW][C]0.3[/C][C]172.071758334756[/C][C]22.4278367110452[/C][/ROW]
[ROW][C]0.31[/C][C]176.669034841718[/C][C]22.1155929127086[/C][/ROW]
[ROW][C]0.32[/C][C]181.154054305253[/C][C]21.7455706917130[/C][/ROW]
[ROW][C]0.33[/C][C]185.524095016698[/C][C]21.3298113044113[/C][/ROW]
[ROW][C]0.34[/C][C]189.779589204050[/C][C]20.8959042533054[/C][/ROW]
[ROW][C]0.35[/C][C]193.926220447840[/C][C]20.4846169917944[/C][/ROW]
[ROW][C]0.36[/C][C]197.976235574418[/C][C]20.1423227505509[/C][/ROW]
[ROW][C]0.37[/C][C]201.948597599694[/C][C]19.9130803051083[/C][/ROW]
[ROW][C]0.38[/C][C]205.867884957436[/C][C]19.8299567792914[/C][/ROW]
[ROW][C]0.39[/C][C]209.762108957449[/C][C]19.9086625973251[/C][/ROW]
[ROW][C]0.4[/C][C]213.659832412021[/C][C]20.1432695729220[/C][/ROW]
[ROW][C]0.41[/C][C]217.587097209068[/C][C]20.5069558031056[/C][/ROW]
[ROW][C]0.42[/C][C]221.564692830293[/C][C]20.9578257984968[/C][/ROW]
[ROW][C]0.43[/C][C]225.606224117281[/C][C]21.4451296282049[/C][/ROW]
[ROW][C]0.44[/C][C]229.717283713297[/C][C]21.9188270179481[/C][/ROW]
[ROW][C]0.45[/C][C]233.895833534306[/C][C]22.3353027019091[/C][/ROW]
[ROW][C]0.46[/C][C]238.133687706076[/C][C]22.6656785089413[/C][/ROW]
[ROW][C]0.47[/C][C]242.418803642602[/C][C]22.8968792525006[/C][/ROW]
[ROW][C]0.48[/C][C]246.737958813446[/C][C]23.0332188116226[/C][/ROW]
[ROW][C]0.49[/C][C]251.079337819317[/C][C]23.0945263372913[/C][/ROW]
[ROW][C]0.5[/C][C]255.434584266339[/C][C]23.1097262154033[/C][/ROW]
[ROW][C]0.51[/C][C]259.799978396930[/C][C]23.1141337121520[/C][/ROW]
[ROW][C]0.52[/C][C]264.176567223101[/C][C]23.1379901915062[/C][/ROW]
[ROW][C]0.53[/C][C]268.569273223478[/C][C]23.2036644802008[/C][/ROW]
[ROW][C]0.54[/C][C]272.985209148681[/C][C]23.3187384240907[/C][/ROW]
[ROW][C]0.55[/C][C]277.431596589721[/C][C]23.4754315314871[/C][/ROW]
[ROW][C]0.56[/C][C]281.91379311344[/C][C]23.6532252244713[/C][/ROW]
[ROW][C]0.57[/C][C]286.433952327339[/C][C]23.8229229183530[/C][/ROW]
[ROW][C]0.58[/C][C]290.990760887789[/C][C]23.95659665815[/C][/ROW]
[ROW][C]0.59[/C][C]295.580520668344[/C][C]24.0347633557063[/C][/ROW]
[ROW][C]0.6[/C][C]300.199596211186[/C][C]24.056653091861[/C][/ROW]
[ROW][C]0.61[/C][C]304.847967096466[/C][C]24.0450438403839[/C][/ROW]
[ROW][C]0.62[/C][C]309.533362490726[/C][C]24.0485513056779[/C][/ROW]
[ROW][C]0.63[/C][C]314.275262660878[/C][C]24.1415289582707[/C][/ROW]
[ROW][C]0.64[/C][C]319.107972327031[/C][C]24.4161836546859[/C][/ROW]
[ROW][C]0.65[/C][C]324.082028023145[/C][C]24.9689008373653[/C][/ROW]
[ROW][C]0.66[/C][C]329.263397557571[/C][C]25.8848415906736[/C][/ROW]
[ROW][C]0.67[/C][C]334.73024203134[/C][C]27.2199905972523[/C][/ROW]
[ROW][C]0.68[/C][C]340.567398272485[/C][C]28.9875390535015[/C][/ROW]
[ROW][C]0.69[/C][C]346.859149209354[/C][C]31.1507485049020[/C][/ROW]
[ROW][C]0.7[/C][C]353.681226488407[/C][C]33.6270211786635[/C][/ROW]
[ROW][C]0.71[/C][C]361.093282802912[/C][C]36.2960939918846[/C][/ROW]
[ROW][C]0.72[/C][C]369.133235495716[/C][C]39.0166927097483[/C][/ROW]
[ROW][C]0.73[/C][C]377.814870805142[/C][C]41.6450551910609[/C][/ROW]
[ROW][C]0.74[/C][C]387.129848631048[/C][C]44.0584766061861[/C][/ROW]
[ROW][C]0.75[/C][C]397.054680809469[/C][C]46.1782534023988[/C][/ROW]
[ROW][C]0.76[/C][C]407.562293207955[/C][C]47.9888839493605[/C][/ROW]
[ROW][C]0.77[/C][C]418.636411725427[/C][C]49.5553572558364[/C][/ROW]
[ROW][C]0.78[/C][C]430.285396615642[/C][C]51.0192324231768[/C][/ROW]
[ROW][C]0.79[/C][C]442.550732399314[/C][C]52.575214650466[/C][/ROW]
[ROW][C]0.8[/C][C]455.504909178503[/C][C]54.4106108683698[/C][/ROW]
[ROW][C]0.81[/C][C]469.234784406514[/C][C]56.6199346055459[/C][/ROW]
[ROW][C]0.82[/C][C]483.810279239154[/C][C]59.1148619857203[/C][/ROW]
[ROW][C]0.83[/C][C]499.24413647445[/C][C]61.580693053715[/C][/ROW]
[ROW][C]0.84[/C][C]515.454754603054[/C][C]63.5151750088683[/C][/ROW]
[ROW][C]0.85[/C][C]532.247784488393[/C][C]64.353819297707[/C][/ROW]
[ROW][C]0.86[/C][C]549.329902566065[/C][C]63.6500381034089[/C][/ROW]
[ROW][C]0.87[/C][C]566.358428211353[/C][C]61.2531711821465[/C][/ROW]
[ROW][C]0.88[/C][C]583.015983113034[/C][C]57.4012968567052[/C][/ROW]
[ROW][C]0.89[/C][C]599.088464839135[/C][C]52.6871775920487[/C][/ROW]
[ROW][C]0.9[/C][C]614.528793865432[/C][C]47.8693011542768[/C][/ROW]
[ROW][C]0.91[/C][C]629.515551425392[/C][C]43.6373782688039[/C][/ROW]
[ROW][C]0.92[/C][C]644.555037176328[/C][C]40.5597992974633[/C][/ROW]
[ROW][C]0.93[/C][C]660.6864700092[/C][C]39.5216630825911[/C][/ROW]
[ROW][C]0.94[/C][C]679.759646214066[/C][C]42.5417156593199[/C][/ROW]
[ROW][C]0.95[/C][C]704.503537274828[/C][C]52.3770276517937[/C][/ROW]
[ROW][C]0.96[/C][C]737.786827117339[/C][C]68.8503718416984[/C][/ROW]
[ROW][C]0.97[/C][C]780.50373289652[/C][C]84.4028407283096[/C][/ROW]
[ROW][C]0.98[/C][C]828.514280604942[/C][C]84.6206434662249[/C][/ROW]
[ROW][C]0.99[/C][C]871.085761494458[/C][C]61.5286890696738[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74033&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
0.0140.831700394531612.3235213319306
0.0248.249751835151912.3308189287502
0.0355.898212641687212.2563119783990
0.0462.641828004548111.3776510131872
0.0568.21525415711949.96287224424666
0.0672.72592086207018.6674063002699
0.0776.4244151889787.92295199406637
0.0879.58984982498467.75054977262497
0.0982.45801471522227.93965344313088
0.185.19408049628198.30916003242523
0.1187.90394112645618.81142128054397
0.1290.66215520133639.50433246105918
0.1393.535880320603310.4785075927607
0.1496.595103210114411.7882468433963
0.1599.909494677532113.4126807726667
0.16103.53750695880215.2563609943115
0.17107.51435137403617.1740207313804
0.18111.84398062651519.0045510358677
0.19116.49767915915820.6040759030929
0.2121.41934118213521.8721665291802
0.21126.53558066710422.7663469812363
0.22131.76777859454223.3017665993889
0.23137.04309979218423.5394757769939
0.24142.30224594351623.5639927497619
0.25147.50291184326923.4599114051914
0.26152.61916338808823.2944427839904
0.27157.63790199172723.1062852313391
0.28162.55402499936322.9067069834677
0.29167.36582773045022.6864260252336
0.3172.07175833475622.4278367110452
0.31176.66903484171822.1155929127086
0.32181.15405430525321.7455706917130
0.33185.52409501669821.3298113044113
0.34189.77958920405020.8959042533054
0.35193.92622044784020.4846169917944
0.36197.97623557441820.1423227505509
0.37201.94859759969419.9130803051083
0.38205.86788495743619.8299567792914
0.39209.76210895744919.9086625973251
0.4213.65983241202120.1432695729220
0.41217.58709720906820.5069558031056
0.42221.56469283029320.9578257984968
0.43225.60622411728121.4451296282049
0.44229.71728371329721.9188270179481
0.45233.89583353430622.3353027019091
0.46238.13368770607622.6656785089413
0.47242.41880364260222.8968792525006
0.48246.73795881344623.0332188116226
0.49251.07933781931723.0945263372913
0.5255.43458426633923.1097262154033
0.51259.79997839693023.1141337121520
0.52264.17656722310123.1379901915062
0.53268.56927322347823.2036644802008
0.54272.98520914868123.3187384240907
0.55277.43159658972123.4754315314871
0.56281.9137931134423.6532252244713
0.57286.43395232733923.8229229183530
0.58290.99076088778923.95659665815
0.59295.58052066834424.0347633557063
0.6300.19959621118624.056653091861
0.61304.84796709646624.0450438403839
0.62309.53336249072624.0485513056779
0.63314.27526266087824.1415289582707
0.64319.10797232703124.4161836546859
0.65324.08202802314524.9689008373653
0.66329.26339755757125.8848415906736
0.67334.7302420313427.2199905972523
0.68340.56739827248528.9875390535015
0.69346.85914920935431.1507485049020
0.7353.68122648840733.6270211786635
0.71361.09328280291236.2960939918846
0.72369.13323549571639.0166927097483
0.73377.81487080514241.6450551910609
0.74387.12984863104844.0584766061861
0.75397.05468080946946.1782534023988
0.76407.56229320795547.9888839493605
0.77418.63641172542749.5553572558364
0.78430.28539661564251.0192324231768
0.79442.55073239931452.575214650466
0.8455.50490917850354.4106108683698
0.81469.23478440651456.6199346055459
0.82483.81027923915459.1148619857203
0.83499.2441364744561.580693053715
0.84515.45475460305463.5151750088683
0.85532.24778448839364.353819297707
0.86549.32990256606563.6500381034089
0.87566.35842821135361.2531711821465
0.88583.01598311303457.4012968567052
0.89599.08846483913552.6871775920487
0.9614.52879386543247.8693011542768
0.91629.51555142539243.6373782688039
0.92644.55503717632840.5597992974633
0.93660.686470009239.5216630825911
0.94679.75964621406642.5417156593199
0.95704.50353727482852.3770276517937
0.96737.78682711733968.8503718416984
0.97780.5037328965284.4028407283096
0.98828.51428060494284.6206434662249
0.99871.08576149445861.5286890696738


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')