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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 computationWed, 19 Aug 2009 04:12:46 -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/Aug/19/t1250676818njz0daejm9uo70f.htm/, Retrieved Tue, 07 May 2024 08:28:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42915, Retrieved Tue, 07 May 2024 08:28:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

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] [Opgave 4 - Deciel...] [2009-08-19 10:12:46] [a3ab1f5d18edf6efe0d68a62d436c7a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24984
23201
22265
23313
24172
24056
11295

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42915&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42915&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42915&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.114131.50881236787612.21557209762
0.1114519.75569400537347.99640040647
0.1214916.35534266357074.1167426538
0.1315318.47549954086792.40617552568
0.1415723.37105068326504.72030330683
0.1516128.42160374036212.91429533347
0.1616531.16320473215918.80271850887
0.1716929.31410253995624.15392135279
0.1817320.79462763895330.65468205802
0.1917703.74138853865039.89606552392
0.218076.51610342704753.35625075142
0.2118437.70947543714472.38864552988
0.2218786.14058830244198.2167724836
0.2319120.85234610503931.92488278568
0.2419441.10350798793674.45415350767
0.2519746.3578780953426.60075367069
0.2620036.27120486633189.02859217099
0.2720310.67632452912962.25368893228
0.2820569.56705359392746.67468892125
0.2920813.08129676762542.55897202290
0.321041.48379218782350.05776761569
0.3121255.14886735972169.22669031786
0.3221454.54352853662000.0188635216
0.3321640.21115517801842.30974917595
0.3421812.75602097791695.89310713588
0.3521972.82881493431560.50918173621
0.3622121.11329096081435.83262902351
0.3722258.31413330841321.50333738622
0.3822385.14608804071217.12830308851
0.3922502.32437827221122.26405467736
0.422610.55639292861036.46434718674
0.4122710.5346153937959.25399863244
0.4222802.9307393957890.140299291653
0.4322888.3909045986828.614961363942
0.4422967.5319732784774.164500429165
0.4523040.9387617902726.254869441506
0.4623109.1621358694684.345692897718
0.4723172.7178767312647.891565377598
0.4823232.0862250246616.347287262576
0.4923287.7120115517589.169972429902
0.523340.0052869128565.831660024714
0.5123389.3423665267545.815824455739
0.5223436.0672125078528.650450571815
0.5323480.4930793856513.882779574863
0.5423522.9043564080501.108684611879
0.5523563.5585449943489.963657786423
0.5623602.6883156634480.126404480748
0.5723640.5035943418471.332782004445
0.5823677.1936333090463.349211833966
0.5923712.9290271085455.999463141481
0.623747.8636385460449.141203563188
0.6123782.1364044220442.67082797763
0.6223815.8729949367436.524152181051
0.6323849.1873048046430.668349118131
0.6423882.1827580822425.100744917286
0.6523914.9534125975419.852737992553
0.6623947.5848537397414.974933783276
0.6723980.1548712706410.539590176198
0.6824012.7339168063406.647481792820
0.6924045.3853437221403.402662565284
0.724078.1654354815400.928145997415
0.7124111.1232327843399.342573744285
0.7224144.3001744572398.775719285828
0.7324177.7295716399399.342907038247
0.7424211.4359394974401.144326401792
0.7524245.4342153354404.263842584271
0.7624279.7288965127408.759141967681
0.7724314.3131358127414.66678680166
0.7824349.1678358207421.977237188964
0.7924384.2607871840430.662484530463
0.824419.5458982621440.660091747104
0.8124454.9625654010451.877959386513
0.8224490.4352337293464.204019568118
0.8324525.8731977837477.500534409482
0.8424561.1706892629491.62002159195
0.8524596.2072956427506.393875269402
0.8624630.84874813521.65543671106
0.8724664.9481104155537.226295690394
0.8824698.3473908676552.929766927087
0.8924730.8795902161568.587999412391
0.924762.3711844868584.029625466479

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 14131.5088123678 & 7612.21557209762 \tabularnewline
0.11 & 14519.7556940053 & 7347.99640040647 \tabularnewline
0.12 & 14916.3553426635 & 7074.1167426538 \tabularnewline
0.13 & 15318.4754995408 & 6792.40617552568 \tabularnewline
0.14 & 15723.3710506832 & 6504.72030330683 \tabularnewline
0.15 & 16128.4216037403 & 6212.91429533347 \tabularnewline
0.16 & 16531.1632047321 & 5918.80271850887 \tabularnewline
0.17 & 16929.3141025399 & 5624.15392135279 \tabularnewline
0.18 & 17320.7946276389 & 5330.65468205802 \tabularnewline
0.19 & 17703.7413885386 & 5039.89606552392 \tabularnewline
0.2 & 18076.5161034270 & 4753.35625075142 \tabularnewline
0.21 & 18437.7094754371 & 4472.38864552988 \tabularnewline
0.22 & 18786.1405883024 & 4198.2167724836 \tabularnewline
0.23 & 19120.8523461050 & 3931.92488278568 \tabularnewline
0.24 & 19441.1035079879 & 3674.45415350767 \tabularnewline
0.25 & 19746.357878095 & 3426.60075367069 \tabularnewline
0.26 & 20036.2712048663 & 3189.02859217099 \tabularnewline
0.27 & 20310.6763245291 & 2962.25368893228 \tabularnewline
0.28 & 20569.5670535939 & 2746.67468892125 \tabularnewline
0.29 & 20813.0812967676 & 2542.55897202290 \tabularnewline
0.3 & 21041.4837921878 & 2350.05776761569 \tabularnewline
0.31 & 21255.1488673597 & 2169.22669031786 \tabularnewline
0.32 & 21454.5435285366 & 2000.0188635216 \tabularnewline
0.33 & 21640.2111551780 & 1842.30974917595 \tabularnewline
0.34 & 21812.7560209779 & 1695.89310713588 \tabularnewline
0.35 & 21972.8288149343 & 1560.50918173621 \tabularnewline
0.36 & 22121.1132909608 & 1435.83262902351 \tabularnewline
0.37 & 22258.3141333084 & 1321.50333738622 \tabularnewline
0.38 & 22385.1460880407 & 1217.12830308851 \tabularnewline
0.39 & 22502.3243782722 & 1122.26405467736 \tabularnewline
0.4 & 22610.5563929286 & 1036.46434718674 \tabularnewline
0.41 & 22710.5346153937 & 959.25399863244 \tabularnewline
0.42 & 22802.9307393957 & 890.140299291653 \tabularnewline
0.43 & 22888.3909045986 & 828.614961363942 \tabularnewline
0.44 & 22967.5319732784 & 774.164500429165 \tabularnewline
0.45 & 23040.9387617902 & 726.254869441506 \tabularnewline
0.46 & 23109.1621358694 & 684.345692897718 \tabularnewline
0.47 & 23172.7178767312 & 647.891565377598 \tabularnewline
0.48 & 23232.0862250246 & 616.347287262576 \tabularnewline
0.49 & 23287.7120115517 & 589.169972429902 \tabularnewline
0.5 & 23340.0052869128 & 565.831660024714 \tabularnewline
0.51 & 23389.3423665267 & 545.815824455739 \tabularnewline
0.52 & 23436.0672125078 & 528.650450571815 \tabularnewline
0.53 & 23480.4930793856 & 513.882779574863 \tabularnewline
0.54 & 23522.9043564080 & 501.108684611879 \tabularnewline
0.55 & 23563.5585449943 & 489.963657786423 \tabularnewline
0.56 & 23602.6883156634 & 480.126404480748 \tabularnewline
0.57 & 23640.5035943418 & 471.332782004445 \tabularnewline
0.58 & 23677.1936333090 & 463.349211833966 \tabularnewline
0.59 & 23712.9290271085 & 455.999463141481 \tabularnewline
0.6 & 23747.8636385460 & 449.141203563188 \tabularnewline
0.61 & 23782.1364044220 & 442.67082797763 \tabularnewline
0.62 & 23815.8729949367 & 436.524152181051 \tabularnewline
0.63 & 23849.1873048046 & 430.668349118131 \tabularnewline
0.64 & 23882.1827580822 & 425.100744917286 \tabularnewline
0.65 & 23914.9534125975 & 419.852737992553 \tabularnewline
0.66 & 23947.5848537397 & 414.974933783276 \tabularnewline
0.67 & 23980.1548712706 & 410.539590176198 \tabularnewline
0.68 & 24012.7339168063 & 406.647481792820 \tabularnewline
0.69 & 24045.3853437221 & 403.402662565284 \tabularnewline
0.7 & 24078.1654354815 & 400.928145997415 \tabularnewline
0.71 & 24111.1232327843 & 399.342573744285 \tabularnewline
0.72 & 24144.3001744572 & 398.775719285828 \tabularnewline
0.73 & 24177.7295716399 & 399.342907038247 \tabularnewline
0.74 & 24211.4359394974 & 401.144326401792 \tabularnewline
0.75 & 24245.4342153354 & 404.263842584271 \tabularnewline
0.76 & 24279.7288965127 & 408.759141967681 \tabularnewline
0.77 & 24314.3131358127 & 414.66678680166 \tabularnewline
0.78 & 24349.1678358207 & 421.977237188964 \tabularnewline
0.79 & 24384.2607871840 & 430.662484530463 \tabularnewline
0.8 & 24419.5458982621 & 440.660091747104 \tabularnewline
0.81 & 24454.9625654010 & 451.877959386513 \tabularnewline
0.82 & 24490.4352337293 & 464.204019568118 \tabularnewline
0.83 & 24525.8731977837 & 477.500534409482 \tabularnewline
0.84 & 24561.1706892629 & 491.62002159195 \tabularnewline
0.85 & 24596.2072956427 & 506.393875269402 \tabularnewline
0.86 & 24630.84874813 & 521.65543671106 \tabularnewline
0.87 & 24664.9481104155 & 537.226295690394 \tabularnewline
0.88 & 24698.3473908676 & 552.929766927087 \tabularnewline
0.89 & 24730.8795902161 & 568.587999412391 \tabularnewline
0.9 & 24762.3711844868 & 584.029625466479 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42915&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]14131.5088123678[/C][C]7612.21557209762[/C][/ROW]
[ROW][C]0.11[/C][C]14519.7556940053[/C][C]7347.99640040647[/C][/ROW]
[ROW][C]0.12[/C][C]14916.3553426635[/C][C]7074.1167426538[/C][/ROW]
[ROW][C]0.13[/C][C]15318.4754995408[/C][C]6792.40617552568[/C][/ROW]
[ROW][C]0.14[/C][C]15723.3710506832[/C][C]6504.72030330683[/C][/ROW]
[ROW][C]0.15[/C][C]16128.4216037403[/C][C]6212.91429533347[/C][/ROW]
[ROW][C]0.16[/C][C]16531.1632047321[/C][C]5918.80271850887[/C][/ROW]
[ROW][C]0.17[/C][C]16929.3141025399[/C][C]5624.15392135279[/C][/ROW]
[ROW][C]0.18[/C][C]17320.7946276389[/C][C]5330.65468205802[/C][/ROW]
[ROW][C]0.19[/C][C]17703.7413885386[/C][C]5039.89606552392[/C][/ROW]
[ROW][C]0.2[/C][C]18076.5161034270[/C][C]4753.35625075142[/C][/ROW]
[ROW][C]0.21[/C][C]18437.7094754371[/C][C]4472.38864552988[/C][/ROW]
[ROW][C]0.22[/C][C]18786.1405883024[/C][C]4198.2167724836[/C][/ROW]
[ROW][C]0.23[/C][C]19120.8523461050[/C][C]3931.92488278568[/C][/ROW]
[ROW][C]0.24[/C][C]19441.1035079879[/C][C]3674.45415350767[/C][/ROW]
[ROW][C]0.25[/C][C]19746.357878095[/C][C]3426.60075367069[/C][/ROW]
[ROW][C]0.26[/C][C]20036.2712048663[/C][C]3189.02859217099[/C][/ROW]
[ROW][C]0.27[/C][C]20310.6763245291[/C][C]2962.25368893228[/C][/ROW]
[ROW][C]0.28[/C][C]20569.5670535939[/C][C]2746.67468892125[/C][/ROW]
[ROW][C]0.29[/C][C]20813.0812967676[/C][C]2542.55897202290[/C][/ROW]
[ROW][C]0.3[/C][C]21041.4837921878[/C][C]2350.05776761569[/C][/ROW]
[ROW][C]0.31[/C][C]21255.1488673597[/C][C]2169.22669031786[/C][/ROW]
[ROW][C]0.32[/C][C]21454.5435285366[/C][C]2000.0188635216[/C][/ROW]
[ROW][C]0.33[/C][C]21640.2111551780[/C][C]1842.30974917595[/C][/ROW]
[ROW][C]0.34[/C][C]21812.7560209779[/C][C]1695.89310713588[/C][/ROW]
[ROW][C]0.35[/C][C]21972.8288149343[/C][C]1560.50918173621[/C][/ROW]
[ROW][C]0.36[/C][C]22121.1132909608[/C][C]1435.83262902351[/C][/ROW]
[ROW][C]0.37[/C][C]22258.3141333084[/C][C]1321.50333738622[/C][/ROW]
[ROW][C]0.38[/C][C]22385.1460880407[/C][C]1217.12830308851[/C][/ROW]
[ROW][C]0.39[/C][C]22502.3243782722[/C][C]1122.26405467736[/C][/ROW]
[ROW][C]0.4[/C][C]22610.5563929286[/C][C]1036.46434718674[/C][/ROW]
[ROW][C]0.41[/C][C]22710.5346153937[/C][C]959.25399863244[/C][/ROW]
[ROW][C]0.42[/C][C]22802.9307393957[/C][C]890.140299291653[/C][/ROW]
[ROW][C]0.43[/C][C]22888.3909045986[/C][C]828.614961363942[/C][/ROW]
[ROW][C]0.44[/C][C]22967.5319732784[/C][C]774.164500429165[/C][/ROW]
[ROW][C]0.45[/C][C]23040.9387617902[/C][C]726.254869441506[/C][/ROW]
[ROW][C]0.46[/C][C]23109.1621358694[/C][C]684.345692897718[/C][/ROW]
[ROW][C]0.47[/C][C]23172.7178767312[/C][C]647.891565377598[/C][/ROW]
[ROW][C]0.48[/C][C]23232.0862250246[/C][C]616.347287262576[/C][/ROW]
[ROW][C]0.49[/C][C]23287.7120115517[/C][C]589.169972429902[/C][/ROW]
[ROW][C]0.5[/C][C]23340.0052869128[/C][C]565.831660024714[/C][/ROW]
[ROW][C]0.51[/C][C]23389.3423665267[/C][C]545.815824455739[/C][/ROW]
[ROW][C]0.52[/C][C]23436.0672125078[/C][C]528.650450571815[/C][/ROW]
[ROW][C]0.53[/C][C]23480.4930793856[/C][C]513.882779574863[/C][/ROW]
[ROW][C]0.54[/C][C]23522.9043564080[/C][C]501.108684611879[/C][/ROW]
[ROW][C]0.55[/C][C]23563.5585449943[/C][C]489.963657786423[/C][/ROW]
[ROW][C]0.56[/C][C]23602.6883156634[/C][C]480.126404480748[/C][/ROW]
[ROW][C]0.57[/C][C]23640.5035943418[/C][C]471.332782004445[/C][/ROW]
[ROW][C]0.58[/C][C]23677.1936333090[/C][C]463.349211833966[/C][/ROW]
[ROW][C]0.59[/C][C]23712.9290271085[/C][C]455.999463141481[/C][/ROW]
[ROW][C]0.6[/C][C]23747.8636385460[/C][C]449.141203563188[/C][/ROW]
[ROW][C]0.61[/C][C]23782.1364044220[/C][C]442.67082797763[/C][/ROW]
[ROW][C]0.62[/C][C]23815.8729949367[/C][C]436.524152181051[/C][/ROW]
[ROW][C]0.63[/C][C]23849.1873048046[/C][C]430.668349118131[/C][/ROW]
[ROW][C]0.64[/C][C]23882.1827580822[/C][C]425.100744917286[/C][/ROW]
[ROW][C]0.65[/C][C]23914.9534125975[/C][C]419.852737992553[/C][/ROW]
[ROW][C]0.66[/C][C]23947.5848537397[/C][C]414.974933783276[/C][/ROW]
[ROW][C]0.67[/C][C]23980.1548712706[/C][C]410.539590176198[/C][/ROW]
[ROW][C]0.68[/C][C]24012.7339168063[/C][C]406.647481792820[/C][/ROW]
[ROW][C]0.69[/C][C]24045.3853437221[/C][C]403.402662565284[/C][/ROW]
[ROW][C]0.7[/C][C]24078.1654354815[/C][C]400.928145997415[/C][/ROW]
[ROW][C]0.71[/C][C]24111.1232327843[/C][C]399.342573744285[/C][/ROW]
[ROW][C]0.72[/C][C]24144.3001744572[/C][C]398.775719285828[/C][/ROW]
[ROW][C]0.73[/C][C]24177.7295716399[/C][C]399.342907038247[/C][/ROW]
[ROW][C]0.74[/C][C]24211.4359394974[/C][C]401.144326401792[/C][/ROW]
[ROW][C]0.75[/C][C]24245.4342153354[/C][C]404.263842584271[/C][/ROW]
[ROW][C]0.76[/C][C]24279.7288965127[/C][C]408.759141967681[/C][/ROW]
[ROW][C]0.77[/C][C]24314.3131358127[/C][C]414.66678680166[/C][/ROW]
[ROW][C]0.78[/C][C]24349.1678358207[/C][C]421.977237188964[/C][/ROW]
[ROW][C]0.79[/C][C]24384.2607871840[/C][C]430.662484530463[/C][/ROW]
[ROW][C]0.8[/C][C]24419.5458982621[/C][C]440.660091747104[/C][/ROW]
[ROW][C]0.81[/C][C]24454.9625654010[/C][C]451.877959386513[/C][/ROW]
[ROW][C]0.82[/C][C]24490.4352337293[/C][C]464.204019568118[/C][/ROW]
[ROW][C]0.83[/C][C]24525.8731977837[/C][C]477.500534409482[/C][/ROW]
[ROW][C]0.84[/C][C]24561.1706892629[/C][C]491.62002159195[/C][/ROW]
[ROW][C]0.85[/C][C]24596.2072956427[/C][C]506.393875269402[/C][/ROW]
[ROW][C]0.86[/C][C]24630.84874813[/C][C]521.65543671106[/C][/ROW]
[ROW][C]0.87[/C][C]24664.9481104155[/C][C]537.226295690394[/C][/ROW]
[ROW][C]0.88[/C][C]24698.3473908676[/C][C]552.929766927087[/C][/ROW]
[ROW][C]0.89[/C][C]24730.8795902161[/C][C]568.587999412391[/C][/ROW]
[ROW][C]0.9[/C][C]24762.3711844868[/C][C]584.029625466479[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42915&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42915&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
0.114131.50881236787612.21557209762
0.1114519.75569400537347.99640040647
0.1214916.35534266357074.1167426538
0.1315318.47549954086792.40617552568
0.1415723.37105068326504.72030330683
0.1516128.42160374036212.91429533347
0.1616531.16320473215918.80271850887
0.1716929.31410253995624.15392135279
0.1817320.79462763895330.65468205802
0.1917703.74138853865039.89606552392
0.218076.51610342704753.35625075142
0.2118437.70947543714472.38864552988
0.2218786.14058830244198.2167724836
0.2319120.85234610503931.92488278568
0.2419441.10350798793674.45415350767
0.2519746.3578780953426.60075367069
0.2620036.27120486633189.02859217099
0.2720310.67632452912962.25368893228
0.2820569.56705359392746.67468892125
0.2920813.08129676762542.55897202290
0.321041.48379218782350.05776761569
0.3121255.14886735972169.22669031786
0.3221454.54352853662000.0188635216
0.3321640.21115517801842.30974917595
0.3421812.75602097791695.89310713588
0.3521972.82881493431560.50918173621
0.3622121.11329096081435.83262902351
0.3722258.31413330841321.50333738622
0.3822385.14608804071217.12830308851
0.3922502.32437827221122.26405467736
0.422610.55639292861036.46434718674
0.4122710.5346153937959.25399863244
0.4222802.9307393957890.140299291653
0.4322888.3909045986828.614961363942
0.4422967.5319732784774.164500429165
0.4523040.9387617902726.254869441506
0.4623109.1621358694684.345692897718
0.4723172.7178767312647.891565377598
0.4823232.0862250246616.347287262576
0.4923287.7120115517589.169972429902
0.523340.0052869128565.831660024714
0.5123389.3423665267545.815824455739
0.5223436.0672125078528.650450571815
0.5323480.4930793856513.882779574863
0.5423522.9043564080501.108684611879
0.5523563.5585449943489.963657786423
0.5623602.6883156634480.126404480748
0.5723640.5035943418471.332782004445
0.5823677.1936333090463.349211833966
0.5923712.9290271085455.999463141481
0.623747.8636385460449.141203563188
0.6123782.1364044220442.67082797763
0.6223815.8729949367436.524152181051
0.6323849.1873048046430.668349118131
0.6423882.1827580822425.100744917286
0.6523914.9534125975419.852737992553
0.6623947.5848537397414.974933783276
0.6723980.1548712706410.539590176198
0.6824012.7339168063406.647481792820
0.6924045.3853437221403.402662565284
0.724078.1654354815400.928145997415
0.7124111.1232327843399.342573744285
0.7224144.3001744572398.775719285828
0.7324177.7295716399399.342907038247
0.7424211.4359394974401.144326401792
0.7524245.4342153354404.263842584271
0.7624279.7288965127408.759141967681
0.7724314.3131358127414.66678680166
0.7824349.1678358207421.977237188964
0.7924384.2607871840430.662484530463
0.824419.5458982621440.660091747104
0.8124454.9625654010451.877959386513
0.8224490.4352337293464.204019568118
0.8324525.8731977837477.500534409482
0.8424561.1706892629491.62002159195
0.8524596.2072956427506.393875269402
0.8624630.84874813521.65543671106
0.8724664.9481104155537.226295690394
0.8824698.3473908676552.929766927087
0.8924730.8795902161568.587999412391
0.924762.3711844868584.029625466479


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')