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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, 08 Mar 2017 10:13:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/08/t1488968168yoatyoxrz6m3i3u.htm/, Retrieved Wed, 15 May 2024 05:27:39 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 05:27:39 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11000
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29000
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22000
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18000
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19000
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10000
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18000

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'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110166.64491843872.639603727911
0.0210416.6663462082759.828122193706
0.0310706.9024907443714.094418454462
0.0411010.4838847904767.164105053811
0.0511319.3612843416888.285590984152
0.0611635.72682711931030.43238076385
0.0711963.46784451381163.91617397498
0.0812303.90392798521276.57044920007
0.0912655.24092980451366.20716088444
0.113013.73828017831434.54210533865
0.1113375.0607538951483.83673200183
0.1213735.17460492661515.91668683726
0.1314090.74868487681532.53908962488
0.1414439.24320766481536.00989285747
0.1514778.86198511841529.31509529663
0.1615108.46504278191515.74246227736
0.1715427.47384404841498.35445656433
0.1815735.77342537481479.46080705524
0.1916033.61408560531460.52222092219
0.216321.52203879461442.31286890218
0.2116600.23150720361425.34015304765
0.2216870.64652882871410.28034554858
0.2317133.83173250051398.32398551119
0.2417391.02207651211391.14636930665
0.2517643.6357975851390.81837887346
0.2617893.27414712761399.48725894657
0.2718141.69536425581418.93230399321
0.2818390.7569339271450.28630972202
0.2918642.32738753051493.65479496477
0.318898.17503374211548.0923118194
0.3119159.84512662261611.66112764539
0.3219428.53888106371681.44677299728
0.3319705.0077164241753.89158353554
0.3419989.47462760351824.99712255469
0.3520281.59210030951890.62131973863
0.3620580.44282327661946.71049934112
0.3720884.58580448951989.74205379988
0.3821192.14653307182016.85676953679
0.3921500.94575936292026.26203317813
0.421808.65761449062017.3075327322
0.4122112.98457279641990.6576393457
0.4222411.83461334191948.2404701557
0.4322703.48521675491893.22732201835
0.4422986.71971808561829.7001511577
0.4523260.92396469951762.49408532492
0.4623526.1349026311696.77037932682
0.4723783.03715832751637.65385502259
0.4824032.90833805771589.79550156086
0.4924277.51810627521556.94708951433
0.524518.98971807061541.64997143195
0.5124759.63532867441544.77132513531
0.5225001.7780113411565.66060639893
0.5325247.57403553491602.03779122246
0.5425498.84870267191650.38958483726
0.5525756.9580182551706.28107058331
0.5626022.68676987271764.83334952929
0.5726296.19121224541821.00633455223
0.5826576.99155722231870.05488594493
0.5926864.01589758111907.83692415292
0.627155.69322639271931.07391329745
0.6127450.08914496311937.66279162323
0.6227745.0740976421926.74538305677
0.6328038.51101148581898.89282031926
0.6428328.4475056361855.94641426217
0.6528613.29768403681800.99796961774
0.6628892.00001141361738.12127201948
0.6729164.14067051291672.11253790874
0.6829430.03558251151608.14718830956
0.6929690.76819414761551.52985630646
0.729948.18337719271507.25828460992
0.7130204.83966776891479.80930050112
0.7230463.92226906821472.86326952967
0.7330729.11795425921488.98603345171
0.7431004.45103476691529.50579390152
0.7531294.07820093961594.28704727874
0.7631602.04081614721681.51935619253
0.7731931.97745158771787.60435271083
0.7832286.80765570261906.97623236427
0.7932668.40954723142032.28924206942
0.833077.32678935552154.60691628972
0.8133512.55155804882264.01823231908
0.8233971.43524001082350.59922452064
0.8334449.77390045152405.442678055
0.8434942.09833162162421.87837959217
0.8535442.16813380762396.60211603644
0.8635943.62797318522330.34285273985
0.8736440.73706995022228.25603578465
0.8836929.0379654472099.40352866669
0.8937405.79766449051955.71541532634
0.937870.04489926421809.83974533721
0.9138322.05489273331672.36873636038
0.9238762.21401654841548.36705696445
0.9339189.35064468171434.46355308991
0.9439598.86013540831317.85029002562
0.9539981.26491451461178.51361963065
0.9640322.1371462292995.471365240283
0.9740604.3409011701757.382216090061
0.9840812.9847644099476.558958783443
0.9940942.0818533247199.627831813449

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10166.64491843 & 872.639603727911 \tabularnewline
0.02 & 10416.6663462082 & 759.828122193706 \tabularnewline
0.03 & 10706.9024907443 & 714.094418454462 \tabularnewline
0.04 & 11010.4838847904 & 767.164105053811 \tabularnewline
0.05 & 11319.3612843416 & 888.285590984152 \tabularnewline
0.06 & 11635.7268271193 & 1030.43238076385 \tabularnewline
0.07 & 11963.4678445138 & 1163.91617397498 \tabularnewline
0.08 & 12303.9039279852 & 1276.57044920007 \tabularnewline
0.09 & 12655.2409298045 & 1366.20716088444 \tabularnewline
0.1 & 13013.7382801783 & 1434.54210533865 \tabularnewline
0.11 & 13375.060753895 & 1483.83673200183 \tabularnewline
0.12 & 13735.1746049266 & 1515.91668683726 \tabularnewline
0.13 & 14090.7486848768 & 1532.53908962488 \tabularnewline
0.14 & 14439.2432076648 & 1536.00989285747 \tabularnewline
0.15 & 14778.8619851184 & 1529.31509529663 \tabularnewline
0.16 & 15108.4650427819 & 1515.74246227736 \tabularnewline
0.17 & 15427.4738440484 & 1498.35445656433 \tabularnewline
0.18 & 15735.7734253748 & 1479.46080705524 \tabularnewline
0.19 & 16033.6140856053 & 1460.52222092219 \tabularnewline
0.2 & 16321.5220387946 & 1442.31286890218 \tabularnewline
0.21 & 16600.2315072036 & 1425.34015304765 \tabularnewline
0.22 & 16870.6465288287 & 1410.28034554858 \tabularnewline
0.23 & 17133.8317325005 & 1398.32398551119 \tabularnewline
0.24 & 17391.0220765121 & 1391.14636930665 \tabularnewline
0.25 & 17643.635797585 & 1390.81837887346 \tabularnewline
0.26 & 17893.2741471276 & 1399.48725894657 \tabularnewline
0.27 & 18141.6953642558 & 1418.93230399321 \tabularnewline
0.28 & 18390.756933927 & 1450.28630972202 \tabularnewline
0.29 & 18642.3273875305 & 1493.65479496477 \tabularnewline
0.3 & 18898.1750337421 & 1548.0923118194 \tabularnewline
0.31 & 19159.8451266226 & 1611.66112764539 \tabularnewline
0.32 & 19428.5388810637 & 1681.44677299728 \tabularnewline
0.33 & 19705.007716424 & 1753.89158353554 \tabularnewline
0.34 & 19989.4746276035 & 1824.99712255469 \tabularnewline
0.35 & 20281.5921003095 & 1890.62131973863 \tabularnewline
0.36 & 20580.4428232766 & 1946.71049934112 \tabularnewline
0.37 & 20884.5858044895 & 1989.74205379988 \tabularnewline
0.38 & 21192.1465330718 & 2016.85676953679 \tabularnewline
0.39 & 21500.9457593629 & 2026.26203317813 \tabularnewline
0.4 & 21808.6576144906 & 2017.3075327322 \tabularnewline
0.41 & 22112.9845727964 & 1990.6576393457 \tabularnewline
0.42 & 22411.8346133419 & 1948.2404701557 \tabularnewline
0.43 & 22703.4852167549 & 1893.22732201835 \tabularnewline
0.44 & 22986.7197180856 & 1829.7001511577 \tabularnewline
0.45 & 23260.9239646995 & 1762.49408532492 \tabularnewline
0.46 & 23526.134902631 & 1696.77037932682 \tabularnewline
0.47 & 23783.0371583275 & 1637.65385502259 \tabularnewline
0.48 & 24032.9083380577 & 1589.79550156086 \tabularnewline
0.49 & 24277.5181062752 & 1556.94708951433 \tabularnewline
0.5 & 24518.9897180706 & 1541.64997143195 \tabularnewline
0.51 & 24759.6353286744 & 1544.77132513531 \tabularnewline
0.52 & 25001.778011341 & 1565.66060639893 \tabularnewline
0.53 & 25247.5740355349 & 1602.03779122246 \tabularnewline
0.54 & 25498.8487026719 & 1650.38958483726 \tabularnewline
0.55 & 25756.958018255 & 1706.28107058331 \tabularnewline
0.56 & 26022.6867698727 & 1764.83334952929 \tabularnewline
0.57 & 26296.1912122454 & 1821.00633455223 \tabularnewline
0.58 & 26576.9915572223 & 1870.05488594493 \tabularnewline
0.59 & 26864.0158975811 & 1907.83692415292 \tabularnewline
0.6 & 27155.6932263927 & 1931.07391329745 \tabularnewline
0.61 & 27450.0891449631 & 1937.66279162323 \tabularnewline
0.62 & 27745.074097642 & 1926.74538305677 \tabularnewline
0.63 & 28038.5110114858 & 1898.89282031926 \tabularnewline
0.64 & 28328.447505636 & 1855.94641426217 \tabularnewline
0.65 & 28613.2976840368 & 1800.99796961774 \tabularnewline
0.66 & 28892.0000114136 & 1738.12127201948 \tabularnewline
0.67 & 29164.1406705129 & 1672.11253790874 \tabularnewline
0.68 & 29430.0355825115 & 1608.14718830956 \tabularnewline
0.69 & 29690.7681941476 & 1551.52985630646 \tabularnewline
0.7 & 29948.1833771927 & 1507.25828460992 \tabularnewline
0.71 & 30204.8396677689 & 1479.80930050112 \tabularnewline
0.72 & 30463.9222690682 & 1472.86326952967 \tabularnewline
0.73 & 30729.1179542592 & 1488.98603345171 \tabularnewline
0.74 & 31004.4510347669 & 1529.50579390152 \tabularnewline
0.75 & 31294.0782009396 & 1594.28704727874 \tabularnewline
0.76 & 31602.0408161472 & 1681.51935619253 \tabularnewline
0.77 & 31931.9774515877 & 1787.60435271083 \tabularnewline
0.78 & 32286.8076557026 & 1906.97623236427 \tabularnewline
0.79 & 32668.4095472314 & 2032.28924206942 \tabularnewline
0.8 & 33077.3267893555 & 2154.60691628972 \tabularnewline
0.81 & 33512.5515580488 & 2264.01823231908 \tabularnewline
0.82 & 33971.4352400108 & 2350.59922452064 \tabularnewline
0.83 & 34449.7739004515 & 2405.442678055 \tabularnewline
0.84 & 34942.0983316216 & 2421.87837959217 \tabularnewline
0.85 & 35442.1681338076 & 2396.60211603644 \tabularnewline
0.86 & 35943.6279731852 & 2330.34285273985 \tabularnewline
0.87 & 36440.7370699502 & 2228.25603578465 \tabularnewline
0.88 & 36929.037965447 & 2099.40352866669 \tabularnewline
0.89 & 37405.7976644905 & 1955.71541532634 \tabularnewline
0.9 & 37870.0448992642 & 1809.83974533721 \tabularnewline
0.91 & 38322.0548927333 & 1672.36873636038 \tabularnewline
0.92 & 38762.2140165484 & 1548.36705696445 \tabularnewline
0.93 & 39189.3506446817 & 1434.46355308991 \tabularnewline
0.94 & 39598.8601354083 & 1317.85029002562 \tabularnewline
0.95 & 39981.2649145146 & 1178.51361963065 \tabularnewline
0.96 & 40322.1371462292 & 995.471365240283 \tabularnewline
0.97 & 40604.3409011701 & 757.382216090061 \tabularnewline
0.98 & 40812.9847644099 & 476.558958783443 \tabularnewline
0.99 & 40942.0818533247 & 199.627831813449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]10166.64491843[/C][C]872.639603727911[/C][/ROW]
[ROW][C]0.02[/C][C]10416.6663462082[/C][C]759.828122193706[/C][/ROW]
[ROW][C]0.03[/C][C]10706.9024907443[/C][C]714.094418454462[/C][/ROW]
[ROW][C]0.04[/C][C]11010.4838847904[/C][C]767.164105053811[/C][/ROW]
[ROW][C]0.05[/C][C]11319.3612843416[/C][C]888.285590984152[/C][/ROW]
[ROW][C]0.06[/C][C]11635.7268271193[/C][C]1030.43238076385[/C][/ROW]
[ROW][C]0.07[/C][C]11963.4678445138[/C][C]1163.91617397498[/C][/ROW]
[ROW][C]0.08[/C][C]12303.9039279852[/C][C]1276.57044920007[/C][/ROW]
[ROW][C]0.09[/C][C]12655.2409298045[/C][C]1366.20716088444[/C][/ROW]
[ROW][C]0.1[/C][C]13013.7382801783[/C][C]1434.54210533865[/C][/ROW]
[ROW][C]0.11[/C][C]13375.060753895[/C][C]1483.83673200183[/C][/ROW]
[ROW][C]0.12[/C][C]13735.1746049266[/C][C]1515.91668683726[/C][/ROW]
[ROW][C]0.13[/C][C]14090.7486848768[/C][C]1532.53908962488[/C][/ROW]
[ROW][C]0.14[/C][C]14439.2432076648[/C][C]1536.00989285747[/C][/ROW]
[ROW][C]0.15[/C][C]14778.8619851184[/C][C]1529.31509529663[/C][/ROW]
[ROW][C]0.16[/C][C]15108.4650427819[/C][C]1515.74246227736[/C][/ROW]
[ROW][C]0.17[/C][C]15427.4738440484[/C][C]1498.35445656433[/C][/ROW]
[ROW][C]0.18[/C][C]15735.7734253748[/C][C]1479.46080705524[/C][/ROW]
[ROW][C]0.19[/C][C]16033.6140856053[/C][C]1460.52222092219[/C][/ROW]
[ROW][C]0.2[/C][C]16321.5220387946[/C][C]1442.31286890218[/C][/ROW]
[ROW][C]0.21[/C][C]16600.2315072036[/C][C]1425.34015304765[/C][/ROW]
[ROW][C]0.22[/C][C]16870.6465288287[/C][C]1410.28034554858[/C][/ROW]
[ROW][C]0.23[/C][C]17133.8317325005[/C][C]1398.32398551119[/C][/ROW]
[ROW][C]0.24[/C][C]17391.0220765121[/C][C]1391.14636930665[/C][/ROW]
[ROW][C]0.25[/C][C]17643.635797585[/C][C]1390.81837887346[/C][/ROW]
[ROW][C]0.26[/C][C]17893.2741471276[/C][C]1399.48725894657[/C][/ROW]
[ROW][C]0.27[/C][C]18141.6953642558[/C][C]1418.93230399321[/C][/ROW]
[ROW][C]0.28[/C][C]18390.756933927[/C][C]1450.28630972202[/C][/ROW]
[ROW][C]0.29[/C][C]18642.3273875305[/C][C]1493.65479496477[/C][/ROW]
[ROW][C]0.3[/C][C]18898.1750337421[/C][C]1548.0923118194[/C][/ROW]
[ROW][C]0.31[/C][C]19159.8451266226[/C][C]1611.66112764539[/C][/ROW]
[ROW][C]0.32[/C][C]19428.5388810637[/C][C]1681.44677299728[/C][/ROW]
[ROW][C]0.33[/C][C]19705.007716424[/C][C]1753.89158353554[/C][/ROW]
[ROW][C]0.34[/C][C]19989.4746276035[/C][C]1824.99712255469[/C][/ROW]
[ROW][C]0.35[/C][C]20281.5921003095[/C][C]1890.62131973863[/C][/ROW]
[ROW][C]0.36[/C][C]20580.4428232766[/C][C]1946.71049934112[/C][/ROW]
[ROW][C]0.37[/C][C]20884.5858044895[/C][C]1989.74205379988[/C][/ROW]
[ROW][C]0.38[/C][C]21192.1465330718[/C][C]2016.85676953679[/C][/ROW]
[ROW][C]0.39[/C][C]21500.9457593629[/C][C]2026.26203317813[/C][/ROW]
[ROW][C]0.4[/C][C]21808.6576144906[/C][C]2017.3075327322[/C][/ROW]
[ROW][C]0.41[/C][C]22112.9845727964[/C][C]1990.6576393457[/C][/ROW]
[ROW][C]0.42[/C][C]22411.8346133419[/C][C]1948.2404701557[/C][/ROW]
[ROW][C]0.43[/C][C]22703.4852167549[/C][C]1893.22732201835[/C][/ROW]
[ROW][C]0.44[/C][C]22986.7197180856[/C][C]1829.7001511577[/C][/ROW]
[ROW][C]0.45[/C][C]23260.9239646995[/C][C]1762.49408532492[/C][/ROW]
[ROW][C]0.46[/C][C]23526.134902631[/C][C]1696.77037932682[/C][/ROW]
[ROW][C]0.47[/C][C]23783.0371583275[/C][C]1637.65385502259[/C][/ROW]
[ROW][C]0.48[/C][C]24032.9083380577[/C][C]1589.79550156086[/C][/ROW]
[ROW][C]0.49[/C][C]24277.5181062752[/C][C]1556.94708951433[/C][/ROW]
[ROW][C]0.5[/C][C]24518.9897180706[/C][C]1541.64997143195[/C][/ROW]
[ROW][C]0.51[/C][C]24759.6353286744[/C][C]1544.77132513531[/C][/ROW]
[ROW][C]0.52[/C][C]25001.778011341[/C][C]1565.66060639893[/C][/ROW]
[ROW][C]0.53[/C][C]25247.5740355349[/C][C]1602.03779122246[/C][/ROW]
[ROW][C]0.54[/C][C]25498.8487026719[/C][C]1650.38958483726[/C][/ROW]
[ROW][C]0.55[/C][C]25756.958018255[/C][C]1706.28107058331[/C][/ROW]
[ROW][C]0.56[/C][C]26022.6867698727[/C][C]1764.83334952929[/C][/ROW]
[ROW][C]0.57[/C][C]26296.1912122454[/C][C]1821.00633455223[/C][/ROW]
[ROW][C]0.58[/C][C]26576.9915572223[/C][C]1870.05488594493[/C][/ROW]
[ROW][C]0.59[/C][C]26864.0158975811[/C][C]1907.83692415292[/C][/ROW]
[ROW][C]0.6[/C][C]27155.6932263927[/C][C]1931.07391329745[/C][/ROW]
[ROW][C]0.61[/C][C]27450.0891449631[/C][C]1937.66279162323[/C][/ROW]
[ROW][C]0.62[/C][C]27745.074097642[/C][C]1926.74538305677[/C][/ROW]
[ROW][C]0.63[/C][C]28038.5110114858[/C][C]1898.89282031926[/C][/ROW]
[ROW][C]0.64[/C][C]28328.447505636[/C][C]1855.94641426217[/C][/ROW]
[ROW][C]0.65[/C][C]28613.2976840368[/C][C]1800.99796961774[/C][/ROW]
[ROW][C]0.66[/C][C]28892.0000114136[/C][C]1738.12127201948[/C][/ROW]
[ROW][C]0.67[/C][C]29164.1406705129[/C][C]1672.11253790874[/C][/ROW]
[ROW][C]0.68[/C][C]29430.0355825115[/C][C]1608.14718830956[/C][/ROW]
[ROW][C]0.69[/C][C]29690.7681941476[/C][C]1551.52985630646[/C][/ROW]
[ROW][C]0.7[/C][C]29948.1833771927[/C][C]1507.25828460992[/C][/ROW]
[ROW][C]0.71[/C][C]30204.8396677689[/C][C]1479.80930050112[/C][/ROW]
[ROW][C]0.72[/C][C]30463.9222690682[/C][C]1472.86326952967[/C][/ROW]
[ROW][C]0.73[/C][C]30729.1179542592[/C][C]1488.98603345171[/C][/ROW]
[ROW][C]0.74[/C][C]31004.4510347669[/C][C]1529.50579390152[/C][/ROW]
[ROW][C]0.75[/C][C]31294.0782009396[/C][C]1594.28704727874[/C][/ROW]
[ROW][C]0.76[/C][C]31602.0408161472[/C][C]1681.51935619253[/C][/ROW]
[ROW][C]0.77[/C][C]31931.9774515877[/C][C]1787.60435271083[/C][/ROW]
[ROW][C]0.78[/C][C]32286.8076557026[/C][C]1906.97623236427[/C][/ROW]
[ROW][C]0.79[/C][C]32668.4095472314[/C][C]2032.28924206942[/C][/ROW]
[ROW][C]0.8[/C][C]33077.3267893555[/C][C]2154.60691628972[/C][/ROW]
[ROW][C]0.81[/C][C]33512.5515580488[/C][C]2264.01823231908[/C][/ROW]
[ROW][C]0.82[/C][C]33971.4352400108[/C][C]2350.59922452064[/C][/ROW]
[ROW][C]0.83[/C][C]34449.7739004515[/C][C]2405.442678055[/C][/ROW]
[ROW][C]0.84[/C][C]34942.0983316216[/C][C]2421.87837959217[/C][/ROW]
[ROW][C]0.85[/C][C]35442.1681338076[/C][C]2396.60211603644[/C][/ROW]
[ROW][C]0.86[/C][C]35943.6279731852[/C][C]2330.34285273985[/C][/ROW]
[ROW][C]0.87[/C][C]36440.7370699502[/C][C]2228.25603578465[/C][/ROW]
[ROW][C]0.88[/C][C]36929.037965447[/C][C]2099.40352866669[/C][/ROW]
[ROW][C]0.89[/C][C]37405.7976644905[/C][C]1955.71541532634[/C][/ROW]
[ROW][C]0.9[/C][C]37870.0448992642[/C][C]1809.83974533721[/C][/ROW]
[ROW][C]0.91[/C][C]38322.0548927333[/C][C]1672.36873636038[/C][/ROW]
[ROW][C]0.92[/C][C]38762.2140165484[/C][C]1548.36705696445[/C][/ROW]
[ROW][C]0.93[/C][C]39189.3506446817[/C][C]1434.46355308991[/C][/ROW]
[ROW][C]0.94[/C][C]39598.8601354083[/C][C]1317.85029002562[/C][/ROW]
[ROW][C]0.95[/C][C]39981.2649145146[/C][C]1178.51361963065[/C][/ROW]
[ROW][C]0.96[/C][C]40322.1371462292[/C][C]995.471365240283[/C][/ROW]
[ROW][C]0.97[/C][C]40604.3409011701[/C][C]757.382216090061[/C][/ROW]
[ROW][C]0.98[/C][C]40812.9847644099[/C][C]476.558958783443[/C][/ROW]
[ROW][C]0.99[/C][C]40942.0818533247[/C][C]199.627831813449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0110166.64491843872.639603727911
0.0210416.6663462082759.828122193706
0.0310706.9024907443714.094418454462
0.0411010.4838847904767.164105053811
0.0511319.3612843416888.285590984152
0.0611635.72682711931030.43238076385
0.0711963.46784451381163.91617397498
0.0812303.90392798521276.57044920007
0.0912655.24092980451366.20716088444
0.113013.73828017831434.54210533865
0.1113375.0607538951483.83673200183
0.1213735.17460492661515.91668683726
0.1314090.74868487681532.53908962488
0.1414439.24320766481536.00989285747
0.1514778.86198511841529.31509529663
0.1615108.46504278191515.74246227736
0.1715427.47384404841498.35445656433
0.1815735.77342537481479.46080705524
0.1916033.61408560531460.52222092219
0.216321.52203879461442.31286890218
0.2116600.23150720361425.34015304765
0.2216870.64652882871410.28034554858
0.2317133.83173250051398.32398551119
0.2417391.02207651211391.14636930665
0.2517643.6357975851390.81837887346
0.2617893.27414712761399.48725894657
0.2718141.69536425581418.93230399321
0.2818390.7569339271450.28630972202
0.2918642.32738753051493.65479496477
0.318898.17503374211548.0923118194
0.3119159.84512662261611.66112764539
0.3219428.53888106371681.44677299728
0.3319705.0077164241753.89158353554
0.3419989.47462760351824.99712255469
0.3520281.59210030951890.62131973863
0.3620580.44282327661946.71049934112
0.3720884.58580448951989.74205379988
0.3821192.14653307182016.85676953679
0.3921500.94575936292026.26203317813
0.421808.65761449062017.3075327322
0.4122112.98457279641990.6576393457
0.4222411.83461334191948.2404701557
0.4322703.48521675491893.22732201835
0.4422986.71971808561829.7001511577
0.4523260.92396469951762.49408532492
0.4623526.1349026311696.77037932682
0.4723783.03715832751637.65385502259
0.4824032.90833805771589.79550156086
0.4924277.51810627521556.94708951433
0.524518.98971807061541.64997143195
0.5124759.63532867441544.77132513531
0.5225001.7780113411565.66060639893
0.5325247.57403553491602.03779122246
0.5425498.84870267191650.38958483726
0.5525756.9580182551706.28107058331
0.5626022.68676987271764.83334952929
0.5726296.19121224541821.00633455223
0.5826576.99155722231870.05488594493
0.5926864.01589758111907.83692415292
0.627155.69322639271931.07391329745
0.6127450.08914496311937.66279162323
0.6227745.0740976421926.74538305677
0.6328038.51101148581898.89282031926
0.6428328.4475056361855.94641426217
0.6528613.29768403681800.99796961774
0.6628892.00001141361738.12127201948
0.6729164.14067051291672.11253790874
0.6829430.03558251151608.14718830956
0.6929690.76819414761551.52985630646
0.729948.18337719271507.25828460992
0.7130204.83966776891479.80930050112
0.7230463.92226906821472.86326952967
0.7330729.11795425921488.98603345171
0.7431004.45103476691529.50579390152
0.7531294.07820093961594.28704727874
0.7631602.04081614721681.51935619253
0.7731931.97745158771787.60435271083
0.7832286.80765570261906.97623236427
0.7932668.40954723142032.28924206942
0.833077.32678935552154.60691628972
0.8133512.55155804882264.01823231908
0.8233971.43524001082350.59922452064
0.8334449.77390045152405.442678055
0.8434942.09833162162421.87837959217
0.8535442.16813380762396.60211603644
0.8635943.62797318522330.34285273985
0.8736440.73706995022228.25603578465
0.8836929.0379654472099.40352866669
0.8937405.79766449051955.71541532634
0.937870.04489926421809.83974533721
0.9138322.05489273331672.36873636038
0.9238762.21401654841548.36705696445
0.9339189.35064468171434.46355308991
0.9439598.86013540831317.85029002562
0.9539981.26491451461178.51361963065
0.9640322.1371462292995.471365240283
0.9740604.3409011701757.382216090061
0.9840812.9847644099476.558958783443
0.9940942.0818533247199.627831813449


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')