FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 27 Jul 2012 09:59:42 -0400
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/Jul/27/t1343398188vtu1zk7wji3z5b2.htm/, Retrieved Fri, 03 May 2024 05:09:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168895, Retrieved Fri, 03 May 2024 05:09:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsyasmien naciri
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] [] [2012-07-27 13:59:42] [d06e8713ea83045a022ab0926c74dd0b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
588264	
577918	
567562	
546859	
756344	
745987	
588264	
483527	
493873	
493873	
504229	
526055	
462824	
399492	
347630	
347630	
546859	
567562	
409838	
231412	
325803	
325803	
399492	
442021	
431664	
325803	
378790	
357986	
536412	
493873	
325803	
200263	
315447	
347630	
378790	
420195	
336150	
263595	
294755	
305101	
577918	
577918	
420195	
399492	
462824	
431664	
515709	
620447	
641250	
493873	
452367	
409838	
694135	
714939	
661953	
714939	
704481	
620447	
714939	
819676	
862205	
735641	
651596	
714939	
987746	
1071790	
1051088	
1092483	
1082137	
977399	
1155825	
1198354	
1260562	
1071790	
998102	
1082137	
1282389	
1460814	
1418286	
1418286	
1439089	
1366423	
1555307	
1555307	
1523124	
1344597	
1376780	
1397583	
1534503	
1712929	
1586355	
1649698	
1596712	
1565653	
1807421	
1754435	
1680746	
1576009	
1680746	
1733732	
1796963	
1880998	
1796963	
1848826	
1785585	
1775239	
2037699	
2059525	
1975491	
1828123	
1953664	
2006549	
2069882	
2164273	
2069882	
2143570	
2111388	
1996193	
2237951	
2237951

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'AstonUniversity' @ aston.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 & 12 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168895&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168895&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168895&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 time12 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01222920.29943529832483.7033916434
0.02254475.15277418533515.5582888986
0.03280878.85808937928409.7994042792
0.04299658.40404538321315.7062067618
0.05312279.22630634615802.8362290026
0.06320985.43010918912937.0371451262
0.07327751.92021696612743.9780631855
0.08333988.21901001814500.7696950539
0.09340532.67112594717194.1972094012
0.1347751.40583714720070.5481452559
0.11355678.77753849522626.0232027705
0.12364148.17589096124492.1563479417
0.13372893.33606134225460.8325327544
0.14381633.23888483225576.1759543828
0.15390148.5122563125145.7653885172
0.16398335.13904348324626.8702968988
0.17406216.94414914424443.0792030786
0.18413915.2452726424835.0786770476
0.19421593.26850638225810.1617174202
0.2429399.68452551627190.9977416436
0.21437429.66131835128718.2771891583
0.22445710.86251896430140.6766045788
0.23454212.38237839731287.4321395359
0.24462868.88100963332101.3095753591
0.25471609.76638504232639.278943409
0.26480383.57053960533039.1923005211
0.27489170.51679851133457.1553257073
0.28497981.16635979634001.5505864138
0.29506844.47803753534702.519072899
0.3515792.49032926535511.4610958499
0.31524849.47667016136355.077103846
0.32534030.61139387737190.1265521999
0.33543350.30235371538043.2022088625
0.34552835.6711687139027.0787222765
0.35562538.23898530640294.905086047
0.36572537.63865824341995.9934465675
0.37582934.6784384444209.7329260996
0.38593835.83747924846902.3920626132
0.39605335.40517219749952.5639761206
0.4617503.39625372153197.2569933448
0.41630386.25351771156514.6577488161
0.42644023.3306564659911.1451231383
0.43658476.30388903763573.3779922996
0.44673862.76217063267866.5947966982
0.45690381.32050591273265.5582831951
0.46708315.45198903280207.1050623783
0.47728007.68543864788898.6997792228
0.48749804.2680090899184.9872465787
0.49773980.645635066110496.539625626
0.5800666.795217572121935.451327348
0.51829795.047596942132449.630474496
0.52861089.315527686141075.559390385
0.53894103.754787421147163.759746662
0.54928303.807436203150540.826467622
0.55963168.316118554151551.250250054
0.56998283.26875704150952.667434223
0.571033399.24228743149680.719080419
0.581068435.88057988148559.948556306
0.591103434.15950027148038.618072611
0.61138474.60093456148058.529289109
0.611173590.58030376148139.005327437
0.621208706.29759554147578.341597805
0.631243618.74981031145744.136005003
0.641278026.24985806142274.308948605
0.651311589.39920684137178.431233822
0.661344000.51537418130811.54524183
0.671375037.96113499123714.781801704
0.681404591.65724775116451.664421111
0.691432660.13106606109464.090176349
0.71459330.8070178103035.107613543
0.711484758.5296611997328.5898455954
0.721509151.5517766192482.4441433273
0.731532763.4437865688654.0960045777
0.741555880.5108965385990.8210813948
0.751578793.2727418984501.1715954513
0.761601748.7716478683940.930516864
0.771624893.8246831183791.4598858026
0.781648230.5350547483383.0779081975
0.791671608.1655688882088.7208599681
0.81694767.8528426679559.9918522154
0.811717441.0207372975883.1807892996
0.821739483.0427849171644.9367435526
0.831761004.6062640367884.0261702354
0.841782448.5625082965859.1221683767
0.851804557.5532879266583.9756898304
0.861828199.3757322170192.555288773
0.871854071.2662753875554.0761212198
0.881882379.6241260380540.8101798632
0.891912646.2666454682840.5621140748
0.91943771.910448480935.6284895499
0.911974378.4527307374769.1187671611
0.922003320.3840013865771.6547120771
0.932030196.410787256315.4920611848
0.942055703.456657749081.2879735045
0.952081684.3331072546176.434176907
0.962110792.1338897247555.9878181579
0.972145625.0768193851226.5465681437
0.982185804.7506991752381.0936772466
0.992221797.5681737234505.4307583022

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 222920.299435298 & 32483.7033916434 \tabularnewline
0.02 & 254475.152774185 & 33515.5582888986 \tabularnewline
0.03 & 280878.858089379 & 28409.7994042792 \tabularnewline
0.04 & 299658.404045383 & 21315.7062067618 \tabularnewline
0.05 & 312279.226306346 & 15802.8362290026 \tabularnewline
0.06 & 320985.430109189 & 12937.0371451262 \tabularnewline
0.07 & 327751.920216966 & 12743.9780631855 \tabularnewline
0.08 & 333988.219010018 & 14500.7696950539 \tabularnewline
0.09 & 340532.671125947 & 17194.1972094012 \tabularnewline
0.1 & 347751.405837147 & 20070.5481452559 \tabularnewline
0.11 & 355678.777538495 & 22626.0232027705 \tabularnewline
0.12 & 364148.175890961 & 24492.1563479417 \tabularnewline
0.13 & 372893.336061342 & 25460.8325327544 \tabularnewline
0.14 & 381633.238884832 & 25576.1759543828 \tabularnewline
0.15 & 390148.51225631 & 25145.7653885172 \tabularnewline
0.16 & 398335.139043483 & 24626.8702968988 \tabularnewline
0.17 & 406216.944149144 & 24443.0792030786 \tabularnewline
0.18 & 413915.24527264 & 24835.0786770476 \tabularnewline
0.19 & 421593.268506382 & 25810.1617174202 \tabularnewline
0.2 & 429399.684525516 & 27190.9977416436 \tabularnewline
0.21 & 437429.661318351 & 28718.2771891583 \tabularnewline
0.22 & 445710.862518964 & 30140.6766045788 \tabularnewline
0.23 & 454212.382378397 & 31287.4321395359 \tabularnewline
0.24 & 462868.881009633 & 32101.3095753591 \tabularnewline
0.25 & 471609.766385042 & 32639.278943409 \tabularnewline
0.26 & 480383.570539605 & 33039.1923005211 \tabularnewline
0.27 & 489170.516798511 & 33457.1553257073 \tabularnewline
0.28 & 497981.166359796 & 34001.5505864138 \tabularnewline
0.29 & 506844.478037535 & 34702.519072899 \tabularnewline
0.3 & 515792.490329265 & 35511.4610958499 \tabularnewline
0.31 & 524849.476670161 & 36355.077103846 \tabularnewline
0.32 & 534030.611393877 & 37190.1265521999 \tabularnewline
0.33 & 543350.302353715 & 38043.2022088625 \tabularnewline
0.34 & 552835.67116871 & 39027.0787222765 \tabularnewline
0.35 & 562538.238985306 & 40294.905086047 \tabularnewline
0.36 & 572537.638658243 & 41995.9934465675 \tabularnewline
0.37 & 582934.67843844 & 44209.7329260996 \tabularnewline
0.38 & 593835.837479248 & 46902.3920626132 \tabularnewline
0.39 & 605335.405172197 & 49952.5639761206 \tabularnewline
0.4 & 617503.396253721 & 53197.2569933448 \tabularnewline
0.41 & 630386.253517711 & 56514.6577488161 \tabularnewline
0.42 & 644023.33065646 & 59911.1451231383 \tabularnewline
0.43 & 658476.303889037 & 63573.3779922996 \tabularnewline
0.44 & 673862.762170632 & 67866.5947966982 \tabularnewline
0.45 & 690381.320505912 & 73265.5582831951 \tabularnewline
0.46 & 708315.451989032 & 80207.1050623783 \tabularnewline
0.47 & 728007.685438647 & 88898.6997792228 \tabularnewline
0.48 & 749804.26800908 & 99184.9872465787 \tabularnewline
0.49 & 773980.645635066 & 110496.539625626 \tabularnewline
0.5 & 800666.795217572 & 121935.451327348 \tabularnewline
0.51 & 829795.047596942 & 132449.630474496 \tabularnewline
0.52 & 861089.315527686 & 141075.559390385 \tabularnewline
0.53 & 894103.754787421 & 147163.759746662 \tabularnewline
0.54 & 928303.807436203 & 150540.826467622 \tabularnewline
0.55 & 963168.316118554 & 151551.250250054 \tabularnewline
0.56 & 998283.26875704 & 150952.667434223 \tabularnewline
0.57 & 1033399.24228743 & 149680.719080419 \tabularnewline
0.58 & 1068435.88057988 & 148559.948556306 \tabularnewline
0.59 & 1103434.15950027 & 148038.618072611 \tabularnewline
0.6 & 1138474.60093456 & 148058.529289109 \tabularnewline
0.61 & 1173590.58030376 & 148139.005327437 \tabularnewline
0.62 & 1208706.29759554 & 147578.341597805 \tabularnewline
0.63 & 1243618.74981031 & 145744.136005003 \tabularnewline
0.64 & 1278026.24985806 & 142274.308948605 \tabularnewline
0.65 & 1311589.39920684 & 137178.431233822 \tabularnewline
0.66 & 1344000.51537418 & 130811.54524183 \tabularnewline
0.67 & 1375037.96113499 & 123714.781801704 \tabularnewline
0.68 & 1404591.65724775 & 116451.664421111 \tabularnewline
0.69 & 1432660.13106606 & 109464.090176349 \tabularnewline
0.7 & 1459330.8070178 & 103035.107613543 \tabularnewline
0.71 & 1484758.52966119 & 97328.5898455954 \tabularnewline
0.72 & 1509151.55177661 & 92482.4441433273 \tabularnewline
0.73 & 1532763.44378656 & 88654.0960045777 \tabularnewline
0.74 & 1555880.51089653 & 85990.8210813948 \tabularnewline
0.75 & 1578793.27274189 & 84501.1715954513 \tabularnewline
0.76 & 1601748.77164786 & 83940.930516864 \tabularnewline
0.77 & 1624893.82468311 & 83791.4598858026 \tabularnewline
0.78 & 1648230.53505474 & 83383.0779081975 \tabularnewline
0.79 & 1671608.16556888 & 82088.7208599681 \tabularnewline
0.8 & 1694767.85284266 & 79559.9918522154 \tabularnewline
0.81 & 1717441.02073729 & 75883.1807892996 \tabularnewline
0.82 & 1739483.04278491 & 71644.9367435526 \tabularnewline
0.83 & 1761004.60626403 & 67884.0261702354 \tabularnewline
0.84 & 1782448.56250829 & 65859.1221683767 \tabularnewline
0.85 & 1804557.55328792 & 66583.9756898304 \tabularnewline
0.86 & 1828199.37573221 & 70192.555288773 \tabularnewline
0.87 & 1854071.26627538 & 75554.0761212198 \tabularnewline
0.88 & 1882379.62412603 & 80540.8101798632 \tabularnewline
0.89 & 1912646.26664546 & 82840.5621140748 \tabularnewline
0.9 & 1943771.9104484 & 80935.6284895499 \tabularnewline
0.91 & 1974378.45273073 & 74769.1187671611 \tabularnewline
0.92 & 2003320.38400138 & 65771.6547120771 \tabularnewline
0.93 & 2030196.4107872 & 56315.4920611848 \tabularnewline
0.94 & 2055703.4566577 & 49081.2879735045 \tabularnewline
0.95 & 2081684.33310725 & 46176.434176907 \tabularnewline
0.96 & 2110792.13388972 & 47555.9878181579 \tabularnewline
0.97 & 2145625.07681938 & 51226.5465681437 \tabularnewline
0.98 & 2185804.75069917 & 52381.0936772466 \tabularnewline
0.99 & 2221797.56817372 & 34505.4307583022 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168895&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]222920.299435298[/C][C]32483.7033916434[/C][/ROW]
[ROW][C]0.02[/C][C]254475.152774185[/C][C]33515.5582888986[/C][/ROW]
[ROW][C]0.03[/C][C]280878.858089379[/C][C]28409.7994042792[/C][/ROW]
[ROW][C]0.04[/C][C]299658.404045383[/C][C]21315.7062067618[/C][/ROW]
[ROW][C]0.05[/C][C]312279.226306346[/C][C]15802.8362290026[/C][/ROW]
[ROW][C]0.06[/C][C]320985.430109189[/C][C]12937.0371451262[/C][/ROW]
[ROW][C]0.07[/C][C]327751.920216966[/C][C]12743.9780631855[/C][/ROW]
[ROW][C]0.08[/C][C]333988.219010018[/C][C]14500.7696950539[/C][/ROW]
[ROW][C]0.09[/C][C]340532.671125947[/C][C]17194.1972094012[/C][/ROW]
[ROW][C]0.1[/C][C]347751.405837147[/C][C]20070.5481452559[/C][/ROW]
[ROW][C]0.11[/C][C]355678.777538495[/C][C]22626.0232027705[/C][/ROW]
[ROW][C]0.12[/C][C]364148.175890961[/C][C]24492.1563479417[/C][/ROW]
[ROW][C]0.13[/C][C]372893.336061342[/C][C]25460.8325327544[/C][/ROW]
[ROW][C]0.14[/C][C]381633.238884832[/C][C]25576.1759543828[/C][/ROW]
[ROW][C]0.15[/C][C]390148.51225631[/C][C]25145.7653885172[/C][/ROW]
[ROW][C]0.16[/C][C]398335.139043483[/C][C]24626.8702968988[/C][/ROW]
[ROW][C]0.17[/C][C]406216.944149144[/C][C]24443.0792030786[/C][/ROW]
[ROW][C]0.18[/C][C]413915.24527264[/C][C]24835.0786770476[/C][/ROW]
[ROW][C]0.19[/C][C]421593.268506382[/C][C]25810.1617174202[/C][/ROW]
[ROW][C]0.2[/C][C]429399.684525516[/C][C]27190.9977416436[/C][/ROW]
[ROW][C]0.21[/C][C]437429.661318351[/C][C]28718.2771891583[/C][/ROW]
[ROW][C]0.22[/C][C]445710.862518964[/C][C]30140.6766045788[/C][/ROW]
[ROW][C]0.23[/C][C]454212.382378397[/C][C]31287.4321395359[/C][/ROW]
[ROW][C]0.24[/C][C]462868.881009633[/C][C]32101.3095753591[/C][/ROW]
[ROW][C]0.25[/C][C]471609.766385042[/C][C]32639.278943409[/C][/ROW]
[ROW][C]0.26[/C][C]480383.570539605[/C][C]33039.1923005211[/C][/ROW]
[ROW][C]0.27[/C][C]489170.516798511[/C][C]33457.1553257073[/C][/ROW]
[ROW][C]0.28[/C][C]497981.166359796[/C][C]34001.5505864138[/C][/ROW]
[ROW][C]0.29[/C][C]506844.478037535[/C][C]34702.519072899[/C][/ROW]
[ROW][C]0.3[/C][C]515792.490329265[/C][C]35511.4610958499[/C][/ROW]
[ROW][C]0.31[/C][C]524849.476670161[/C][C]36355.077103846[/C][/ROW]
[ROW][C]0.32[/C][C]534030.611393877[/C][C]37190.1265521999[/C][/ROW]
[ROW][C]0.33[/C][C]543350.302353715[/C][C]38043.2022088625[/C][/ROW]
[ROW][C]0.34[/C][C]552835.67116871[/C][C]39027.0787222765[/C][/ROW]
[ROW][C]0.35[/C][C]562538.238985306[/C][C]40294.905086047[/C][/ROW]
[ROW][C]0.36[/C][C]572537.638658243[/C][C]41995.9934465675[/C][/ROW]
[ROW][C]0.37[/C][C]582934.67843844[/C][C]44209.7329260996[/C][/ROW]
[ROW][C]0.38[/C][C]593835.837479248[/C][C]46902.3920626132[/C][/ROW]
[ROW][C]0.39[/C][C]605335.405172197[/C][C]49952.5639761206[/C][/ROW]
[ROW][C]0.4[/C][C]617503.396253721[/C][C]53197.2569933448[/C][/ROW]
[ROW][C]0.41[/C][C]630386.253517711[/C][C]56514.6577488161[/C][/ROW]
[ROW][C]0.42[/C][C]644023.33065646[/C][C]59911.1451231383[/C][/ROW]
[ROW][C]0.43[/C][C]658476.303889037[/C][C]63573.3779922996[/C][/ROW]
[ROW][C]0.44[/C][C]673862.762170632[/C][C]67866.5947966982[/C][/ROW]
[ROW][C]0.45[/C][C]690381.320505912[/C][C]73265.5582831951[/C][/ROW]
[ROW][C]0.46[/C][C]708315.451989032[/C][C]80207.1050623783[/C][/ROW]
[ROW][C]0.47[/C][C]728007.685438647[/C][C]88898.6997792228[/C][/ROW]
[ROW][C]0.48[/C][C]749804.26800908[/C][C]99184.9872465787[/C][/ROW]
[ROW][C]0.49[/C][C]773980.645635066[/C][C]110496.539625626[/C][/ROW]
[ROW][C]0.5[/C][C]800666.795217572[/C][C]121935.451327348[/C][/ROW]
[ROW][C]0.51[/C][C]829795.047596942[/C][C]132449.630474496[/C][/ROW]
[ROW][C]0.52[/C][C]861089.315527686[/C][C]141075.559390385[/C][/ROW]
[ROW][C]0.53[/C][C]894103.754787421[/C][C]147163.759746662[/C][/ROW]
[ROW][C]0.54[/C][C]928303.807436203[/C][C]150540.826467622[/C][/ROW]
[ROW][C]0.55[/C][C]963168.316118554[/C][C]151551.250250054[/C][/ROW]
[ROW][C]0.56[/C][C]998283.26875704[/C][C]150952.667434223[/C][/ROW]
[ROW][C]0.57[/C][C]1033399.24228743[/C][C]149680.719080419[/C][/ROW]
[ROW][C]0.58[/C][C]1068435.88057988[/C][C]148559.948556306[/C][/ROW]
[ROW][C]0.59[/C][C]1103434.15950027[/C][C]148038.618072611[/C][/ROW]
[ROW][C]0.6[/C][C]1138474.60093456[/C][C]148058.529289109[/C][/ROW]
[ROW][C]0.61[/C][C]1173590.58030376[/C][C]148139.005327437[/C][/ROW]
[ROW][C]0.62[/C][C]1208706.29759554[/C][C]147578.341597805[/C][/ROW]
[ROW][C]0.63[/C][C]1243618.74981031[/C][C]145744.136005003[/C][/ROW]
[ROW][C]0.64[/C][C]1278026.24985806[/C][C]142274.308948605[/C][/ROW]
[ROW][C]0.65[/C][C]1311589.39920684[/C][C]137178.431233822[/C][/ROW]
[ROW][C]0.66[/C][C]1344000.51537418[/C][C]130811.54524183[/C][/ROW]
[ROW][C]0.67[/C][C]1375037.96113499[/C][C]123714.781801704[/C][/ROW]
[ROW][C]0.68[/C][C]1404591.65724775[/C][C]116451.664421111[/C][/ROW]
[ROW][C]0.69[/C][C]1432660.13106606[/C][C]109464.090176349[/C][/ROW]
[ROW][C]0.7[/C][C]1459330.8070178[/C][C]103035.107613543[/C][/ROW]
[ROW][C]0.71[/C][C]1484758.52966119[/C][C]97328.5898455954[/C][/ROW]
[ROW][C]0.72[/C][C]1509151.55177661[/C][C]92482.4441433273[/C][/ROW]
[ROW][C]0.73[/C][C]1532763.44378656[/C][C]88654.0960045777[/C][/ROW]
[ROW][C]0.74[/C][C]1555880.51089653[/C][C]85990.8210813948[/C][/ROW]
[ROW][C]0.75[/C][C]1578793.27274189[/C][C]84501.1715954513[/C][/ROW]
[ROW][C]0.76[/C][C]1601748.77164786[/C][C]83940.930516864[/C][/ROW]
[ROW][C]0.77[/C][C]1624893.82468311[/C][C]83791.4598858026[/C][/ROW]
[ROW][C]0.78[/C][C]1648230.53505474[/C][C]83383.0779081975[/C][/ROW]
[ROW][C]0.79[/C][C]1671608.16556888[/C][C]82088.7208599681[/C][/ROW]
[ROW][C]0.8[/C][C]1694767.85284266[/C][C]79559.9918522154[/C][/ROW]
[ROW][C]0.81[/C][C]1717441.02073729[/C][C]75883.1807892996[/C][/ROW]
[ROW][C]0.82[/C][C]1739483.04278491[/C][C]71644.9367435526[/C][/ROW]
[ROW][C]0.83[/C][C]1761004.60626403[/C][C]67884.0261702354[/C][/ROW]
[ROW][C]0.84[/C][C]1782448.56250829[/C][C]65859.1221683767[/C][/ROW]
[ROW][C]0.85[/C][C]1804557.55328792[/C][C]66583.9756898304[/C][/ROW]
[ROW][C]0.86[/C][C]1828199.37573221[/C][C]70192.555288773[/C][/ROW]
[ROW][C]0.87[/C][C]1854071.26627538[/C][C]75554.0761212198[/C][/ROW]
[ROW][C]0.88[/C][C]1882379.62412603[/C][C]80540.8101798632[/C][/ROW]
[ROW][C]0.89[/C][C]1912646.26664546[/C][C]82840.5621140748[/C][/ROW]
[ROW][C]0.9[/C][C]1943771.9104484[/C][C]80935.6284895499[/C][/ROW]
[ROW][C]0.91[/C][C]1974378.45273073[/C][C]74769.1187671611[/C][/ROW]
[ROW][C]0.92[/C][C]2003320.38400138[/C][C]65771.6547120771[/C][/ROW]
[ROW][C]0.93[/C][C]2030196.4107872[/C][C]56315.4920611848[/C][/ROW]
[ROW][C]0.94[/C][C]2055703.4566577[/C][C]49081.2879735045[/C][/ROW]
[ROW][C]0.95[/C][C]2081684.33310725[/C][C]46176.434176907[/C][/ROW]
[ROW][C]0.96[/C][C]2110792.13388972[/C][C]47555.9878181579[/C][/ROW]
[ROW][C]0.97[/C][C]2145625.07681938[/C][C]51226.5465681437[/C][/ROW]
[ROW][C]0.98[/C][C]2185804.75069917[/C][C]52381.0936772466[/C][/ROW]
[ROW][C]0.99[/C][C]2221797.56817372[/C][C]34505.4307583022[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168895&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168895&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
0.01222920.29943529832483.7033916434
0.02254475.15277418533515.5582888986
0.03280878.85808937928409.7994042792
0.04299658.40404538321315.7062067618
0.05312279.22630634615802.8362290026
0.06320985.43010918912937.0371451262
0.07327751.92021696612743.9780631855
0.08333988.21901001814500.7696950539
0.09340532.67112594717194.1972094012
0.1347751.40583714720070.5481452559
0.11355678.77753849522626.0232027705
0.12364148.17589096124492.1563479417
0.13372893.33606134225460.8325327544
0.14381633.23888483225576.1759543828
0.15390148.5122563125145.7653885172
0.16398335.13904348324626.8702968988
0.17406216.94414914424443.0792030786
0.18413915.2452726424835.0786770476
0.19421593.26850638225810.1617174202
0.2429399.68452551627190.9977416436
0.21437429.66131835128718.2771891583
0.22445710.86251896430140.6766045788
0.23454212.38237839731287.4321395359
0.24462868.88100963332101.3095753591
0.25471609.76638504232639.278943409
0.26480383.57053960533039.1923005211
0.27489170.51679851133457.1553257073
0.28497981.16635979634001.5505864138
0.29506844.47803753534702.519072899
0.3515792.49032926535511.4610958499
0.31524849.47667016136355.077103846
0.32534030.61139387737190.1265521999
0.33543350.30235371538043.2022088625
0.34552835.6711687139027.0787222765
0.35562538.23898530640294.905086047
0.36572537.63865824341995.9934465675
0.37582934.6784384444209.7329260996
0.38593835.83747924846902.3920626132
0.39605335.40517219749952.5639761206
0.4617503.39625372153197.2569933448
0.41630386.25351771156514.6577488161
0.42644023.3306564659911.1451231383
0.43658476.30388903763573.3779922996
0.44673862.76217063267866.5947966982
0.45690381.32050591273265.5582831951
0.46708315.45198903280207.1050623783
0.47728007.68543864788898.6997792228
0.48749804.2680090899184.9872465787
0.49773980.645635066110496.539625626
0.5800666.795217572121935.451327348
0.51829795.047596942132449.630474496
0.52861089.315527686141075.559390385
0.53894103.754787421147163.759746662
0.54928303.807436203150540.826467622
0.55963168.316118554151551.250250054
0.56998283.26875704150952.667434223
0.571033399.24228743149680.719080419
0.581068435.88057988148559.948556306
0.591103434.15950027148038.618072611
0.61138474.60093456148058.529289109
0.611173590.58030376148139.005327437
0.621208706.29759554147578.341597805
0.631243618.74981031145744.136005003
0.641278026.24985806142274.308948605
0.651311589.39920684137178.431233822
0.661344000.51537418130811.54524183
0.671375037.96113499123714.781801704
0.681404591.65724775116451.664421111
0.691432660.13106606109464.090176349
0.71459330.8070178103035.107613543
0.711484758.5296611997328.5898455954
0.721509151.5517766192482.4441433273
0.731532763.4437865688654.0960045777
0.741555880.5108965385990.8210813948
0.751578793.2727418984501.1715954513
0.761601748.7716478683940.930516864
0.771624893.8246831183791.4598858026
0.781648230.5350547483383.0779081975
0.791671608.1655688882088.7208599681
0.81694767.8528426679559.9918522154
0.811717441.0207372975883.1807892996
0.821739483.0427849171644.9367435526
0.831761004.6062640367884.0261702354
0.841782448.5625082965859.1221683767
0.851804557.5532879266583.9756898304
0.861828199.3757322170192.555288773
0.871854071.2662753875554.0761212198
0.881882379.6241260380540.8101798632
0.891912646.2666454682840.5621140748
0.91943771.910448480935.6284895499
0.911974378.4527307374769.1187671611
0.922003320.3840013865771.6547120771
0.932030196.410787256315.4920611848
0.942055703.456657749081.2879735045
0.952081684.3331072546176.434176907
0.962110792.1338897247555.9878181579
0.972145625.0768193851226.5465681437
0.982185804.7506991752381.0936772466
0.992221797.5681737234505.4307583022


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')