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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, 24 Jul 2011 07:38:44 -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/2011/Jul/24/t131150781279ancilwnrf5f0d.htm/, Retrieved Fri, 01 Nov 2024 00:32:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123106, Retrieved Fri, 01 Nov 2024 00:32:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsThomas Schroeven
Estimated Impact224

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] [Tijdreeks 1 - Sta...] [2011-07-24 11:38:44] [1757923712b2aedbf315e1364d6f70a4] [Current]
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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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123106&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123106&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'Gertrude Mary Cox' @ cox.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
0.47728007.68543864888898.6997792228
0.48749804.2680090899184.9872465787
0.49773980.645635066110496.539625626
0.5800666.795217572121935.451327348
0.51829795.047596943132449.630474496
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
0.761601748.7716478683940.9305168641
0.771624893.8246831183791.4598858026
0.781648230.5350547483383.0779081975
0.791671608.1655688982088.7208599681
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 & 728007.685438648 & 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 & 829795.047596943 & 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 & 83940.9305168641 \tabularnewline
0.77 & 1624893.82468311 & 83791.4598858026 \tabularnewline
0.78 & 1648230.53505474 & 83383.0779081975 \tabularnewline
0.79 & 1671608.16556889 & 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=123106&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]728007.685438648[/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]829795.047596943[/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]83940.9305168641[/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]1671608.16556889[/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=123106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123106&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
0.47728007.68543864888898.6997792228
0.48749804.2680090899184.9872465787
0.49773980.645635066110496.539625626
0.5800666.795217572121935.451327348
0.51829795.047596943132449.630474496
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
0.761601748.7716478683940.9305168641
0.771624893.8246831183791.4598858026
0.781648230.5350547483383.0779081975
0.791671608.1655688982088.7208599681
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')