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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 09 Mar 2010 12:18:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/09/t1268162557zmucrahit4fwm1n.htm/, Retrieved Wed, 19 Jan 2022 10:31:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74227, Retrieved Wed, 19 Jan 2022 10:31:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4 Oefening...] [2010-03-09 19:18:58] [8b7f9564fd63910ef0a86e3a376c4af8] [Current]
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Dataseries X:
5714837
6015267
3415340
115612
615159
9714993
2414534
6614721
8414518
9513816
7713310
9212714
411919
3611400
710617
2410172
529569
269509
508895
308560
198397
977631
717793
57435
667628
57696
577284
677273
447200
327096
207113
616966
276765
866845
6725
576898
187085
966784
586883
476728
406853
217097
827154
526998
456977
427122
867075
157185
87059
657279
87566
67453
297553
227345
97406
187524
337651
397672
797737
717980
717784
897934
297932
108061
187927
887990
998136
288286
768212
988170
508491
438167




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74227&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74227&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119796.257504577038645.5432003366
0.0236822.321110797625498.1469037573
0.0351385.665702144517662.5031678944
0.0462321.006022374716088.0221234439
0.0571022.338878054717477.7479694519
0.0678924.932948247219666.4777753037
0.0786840.483519893222373.0201313681
0.0895152.203569619625749.7496915848
0.09104048.86831229129646.5288966457
0.1113602.87559055733561.2564291297
0.11123766.90697405936883.1401928414
0.12134376.02042230439139.9110831631
0.13145186.28939308340147.6587537802
0.14155939.22120770640047.8915859804
0.15166426.28421245539241.897355383
0.16176531.65829082838257.5585949892
0.17186243.37285560737588.3484063773
0.18195635.51041241837553.9426575948
0.19204832.56847603138232.6441374807
0.2213969.81763583139489.7652758228
0.21223161.32363526641076.2198202936
0.22232482.27289616742734.7819628095
0.23241966.63791190144278.0751276141
0.24251616.77922903345623.5126094867
0.25261419.17913579446793.8841816406
0.26271360.21396241647890.8019754381
0.27281437.22991195749048.7308025888
0.28291662.46741454050382.056454256
0.29302059.82945761351943.463806482
0.3312656.48761209953702.284495601
0.31323472.46599965655551.3680390397
0.32334511.50182792657335.6199840371
0.33345755.76630820958891.1736563402
0.34357165.74748276160082.9860697758
0.35368685.14665836960832.3542508045
0.36380249.40790294661130.3915655893
0.37391795.76219893861037.0998044788
0.38403272.53773524160665.0516779607
0.39414645.90960043260154.3477021437
0.4425903.05000879959648.292670544
0.41437051.54628793459267.1252165574
0.42448115.74217873159090.6456828016
0.43459131.16308386959154.1050269486
0.44470138.34256872359451.3624961772
0.45481177.20836629559946.9503563126
0.46492282.81404875560589.2342180591
0.47503482.74951947761321.3234882564
0.48514796.15182838762092.713350346
0.49526233.9524843362861.279124971
0.5537799.87491265863593.5058444921
0.51549491.7275596364266.1728580916
0.52561302.6837996164860.8059103542
0.53573222.44194762465361.9369281832
0.54585238.35662854865758.648103241
0.55597336.77208751966044.0650575636
0.56609504.82765131266218.7562616416
0.57621732.92425825266299.4147199165
0.58634017.84455071166318.2960047783
0.59646366.2465512466333.8856536408
0.6658797.97663018866428.5294827004
0.61671348.47372866566700.1241444154
0.62684069.57617927967254.4476998894
0.63697028.3902578568182.6594101263
0.64710304.5835727469545.1447474661
0.65723987.50297122271361.1469400813
0.66738175.78118626673620.0976980728
0.67752983.40893781676314.9497338664
0.68768557.36730952479509.272814097
0.69785112.54121961583439.4698020678
0.7802989.40796515388653.3038836887
0.71822738.48196878996183.3431954898
0.72845232.225574169107720.398135872
0.73871799.737200864125704.557626328
0.74904372.037201728153224.760792408
0.75945617.041048464193728.009433213
0.76999035.339471539250616.275194901
0.771068983.74499684326835.519476869
0.781160596.44748772424406.200409136
0.791279585.31805732543944.473950496
0.81431919.91117729684264.137730046
0.811623408.60848478842189.383219619
0.821859217.646521831012639.57850943
0.832143369.597963751188912.87433811
0.842478260.110286711363013.08424553
0.852864232.909042611525889.43747867
0.863299270.723180271667715.79978588
0.873778891.758504541778500.36529111
0.884296358.028077261849455.27908083
0.894843252.827728621875082.10323821
0.95410334.769522881855095.05830571
0.915988356.469997121794677.07853203
0.926568371.304476631701793.24364502
0.937141120.192750731582141.40333254
0.947695524.479547941434836.93561427
0.958217067.13676211252655.01032124
0.968687539.609041441028486.21822904
0.979087363.08385926766887.484719616
0.989399470.01436715497738.976053933
0.999611155.59675618285490.813563127

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 19796.2575045770 & 38645.5432003366 \tabularnewline
0.02 & 36822.3211107976 & 25498.1469037573 \tabularnewline
0.03 & 51385.6657021445 & 17662.5031678944 \tabularnewline
0.04 & 62321.0060223747 & 16088.0221234439 \tabularnewline
0.05 & 71022.3388780547 & 17477.7479694519 \tabularnewline
0.06 & 78924.9329482472 & 19666.4777753037 \tabularnewline
0.07 & 86840.4835198932 & 22373.0201313681 \tabularnewline
0.08 & 95152.2035696196 & 25749.7496915848 \tabularnewline
0.09 & 104048.868312291 & 29646.5288966457 \tabularnewline
0.1 & 113602.875590557 & 33561.2564291297 \tabularnewline
0.11 & 123766.906974059 & 36883.1401928414 \tabularnewline
0.12 & 134376.020422304 & 39139.9110831631 \tabularnewline
0.13 & 145186.289393083 & 40147.6587537802 \tabularnewline
0.14 & 155939.221207706 & 40047.8915859804 \tabularnewline
0.15 & 166426.284212455 & 39241.897355383 \tabularnewline
0.16 & 176531.658290828 & 38257.5585949892 \tabularnewline
0.17 & 186243.372855607 & 37588.3484063773 \tabularnewline
0.18 & 195635.510412418 & 37553.9426575948 \tabularnewline
0.19 & 204832.568476031 & 38232.6441374807 \tabularnewline
0.2 & 213969.817635831 & 39489.7652758228 \tabularnewline
0.21 & 223161.323635266 & 41076.2198202936 \tabularnewline
0.22 & 232482.272896167 & 42734.7819628095 \tabularnewline
0.23 & 241966.637911901 & 44278.0751276141 \tabularnewline
0.24 & 251616.779229033 & 45623.5126094867 \tabularnewline
0.25 & 261419.179135794 & 46793.8841816406 \tabularnewline
0.26 & 271360.213962416 & 47890.8019754381 \tabularnewline
0.27 & 281437.229911957 & 49048.7308025888 \tabularnewline
0.28 & 291662.467414540 & 50382.056454256 \tabularnewline
0.29 & 302059.829457613 & 51943.463806482 \tabularnewline
0.3 & 312656.487612099 & 53702.284495601 \tabularnewline
0.31 & 323472.465999656 & 55551.3680390397 \tabularnewline
0.32 & 334511.501827926 & 57335.6199840371 \tabularnewline
0.33 & 345755.766308209 & 58891.1736563402 \tabularnewline
0.34 & 357165.747482761 & 60082.9860697758 \tabularnewline
0.35 & 368685.146658369 & 60832.3542508045 \tabularnewline
0.36 & 380249.407902946 & 61130.3915655893 \tabularnewline
0.37 & 391795.762198938 & 61037.0998044788 \tabularnewline
0.38 & 403272.537735241 & 60665.0516779607 \tabularnewline
0.39 & 414645.909600432 & 60154.3477021437 \tabularnewline
0.4 & 425903.050008799 & 59648.292670544 \tabularnewline
0.41 & 437051.546287934 & 59267.1252165574 \tabularnewline
0.42 & 448115.742178731 & 59090.6456828016 \tabularnewline
0.43 & 459131.163083869 & 59154.1050269486 \tabularnewline
0.44 & 470138.342568723 & 59451.3624961772 \tabularnewline
0.45 & 481177.208366295 & 59946.9503563126 \tabularnewline
0.46 & 492282.814048755 & 60589.2342180591 \tabularnewline
0.47 & 503482.749519477 & 61321.3234882564 \tabularnewline
0.48 & 514796.151828387 & 62092.713350346 \tabularnewline
0.49 & 526233.95248433 & 62861.279124971 \tabularnewline
0.5 & 537799.874912658 & 63593.5058444921 \tabularnewline
0.51 & 549491.72755963 & 64266.1728580916 \tabularnewline
0.52 & 561302.68379961 & 64860.8059103542 \tabularnewline
0.53 & 573222.441947624 & 65361.9369281832 \tabularnewline
0.54 & 585238.356628548 & 65758.648103241 \tabularnewline
0.55 & 597336.772087519 & 66044.0650575636 \tabularnewline
0.56 & 609504.827651312 & 66218.7562616416 \tabularnewline
0.57 & 621732.924258252 & 66299.4147199165 \tabularnewline
0.58 & 634017.844550711 & 66318.2960047783 \tabularnewline
0.59 & 646366.24655124 & 66333.8856536408 \tabularnewline
0.6 & 658797.976630188 & 66428.5294827004 \tabularnewline
0.61 & 671348.473728665 & 66700.1241444154 \tabularnewline
0.62 & 684069.576179279 & 67254.4476998894 \tabularnewline
0.63 & 697028.39025785 & 68182.6594101263 \tabularnewline
0.64 & 710304.58357274 & 69545.1447474661 \tabularnewline
0.65 & 723987.502971222 & 71361.1469400813 \tabularnewline
0.66 & 738175.781186266 & 73620.0976980728 \tabularnewline
0.67 & 752983.408937816 & 76314.9497338664 \tabularnewline
0.68 & 768557.367309524 & 79509.272814097 \tabularnewline
0.69 & 785112.541219615 & 83439.4698020678 \tabularnewline
0.7 & 802989.407965153 & 88653.3038836887 \tabularnewline
0.71 & 822738.481968789 & 96183.3431954898 \tabularnewline
0.72 & 845232.225574169 & 107720.398135872 \tabularnewline
0.73 & 871799.737200864 & 125704.557626328 \tabularnewline
0.74 & 904372.037201728 & 153224.760792408 \tabularnewline
0.75 & 945617.041048464 & 193728.009433213 \tabularnewline
0.76 & 999035.339471539 & 250616.275194901 \tabularnewline
0.77 & 1068983.74499684 & 326835.519476869 \tabularnewline
0.78 & 1160596.44748772 & 424406.200409136 \tabularnewline
0.79 & 1279585.31805732 & 543944.473950496 \tabularnewline
0.8 & 1431919.91117729 & 684264.137730046 \tabularnewline
0.81 & 1623408.60848478 & 842189.383219619 \tabularnewline
0.82 & 1859217.64652183 & 1012639.57850943 \tabularnewline
0.83 & 2143369.59796375 & 1188912.87433811 \tabularnewline
0.84 & 2478260.11028671 & 1363013.08424553 \tabularnewline
0.85 & 2864232.90904261 & 1525889.43747867 \tabularnewline
0.86 & 3299270.72318027 & 1667715.79978588 \tabularnewline
0.87 & 3778891.75850454 & 1778500.36529111 \tabularnewline
0.88 & 4296358.02807726 & 1849455.27908083 \tabularnewline
0.89 & 4843252.82772862 & 1875082.10323821 \tabularnewline
0.9 & 5410334.76952288 & 1855095.05830571 \tabularnewline
0.91 & 5988356.46999712 & 1794677.07853203 \tabularnewline
0.92 & 6568371.30447663 & 1701793.24364502 \tabularnewline
0.93 & 7141120.19275073 & 1582141.40333254 \tabularnewline
0.94 & 7695524.47954794 & 1434836.93561427 \tabularnewline
0.95 & 8217067.1367621 & 1252655.01032124 \tabularnewline
0.96 & 8687539.60904144 & 1028486.21822904 \tabularnewline
0.97 & 9087363.08385926 & 766887.484719616 \tabularnewline
0.98 & 9399470.01436715 & 497738.976053933 \tabularnewline
0.99 & 9611155.59675618 & 285490.813563127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74227&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]19796.2575045770[/C][C]38645.5432003366[/C][/ROW]
[ROW][C]0.02[/C][C]36822.3211107976[/C][C]25498.1469037573[/C][/ROW]
[ROW][C]0.03[/C][C]51385.6657021445[/C][C]17662.5031678944[/C][/ROW]
[ROW][C]0.04[/C][C]62321.0060223747[/C][C]16088.0221234439[/C][/ROW]
[ROW][C]0.05[/C][C]71022.3388780547[/C][C]17477.7479694519[/C][/ROW]
[ROW][C]0.06[/C][C]78924.9329482472[/C][C]19666.4777753037[/C][/ROW]
[ROW][C]0.07[/C][C]86840.4835198932[/C][C]22373.0201313681[/C][/ROW]
[ROW][C]0.08[/C][C]95152.2035696196[/C][C]25749.7496915848[/C][/ROW]
[ROW][C]0.09[/C][C]104048.868312291[/C][C]29646.5288966457[/C][/ROW]
[ROW][C]0.1[/C][C]113602.875590557[/C][C]33561.2564291297[/C][/ROW]
[ROW][C]0.11[/C][C]123766.906974059[/C][C]36883.1401928414[/C][/ROW]
[ROW][C]0.12[/C][C]134376.020422304[/C][C]39139.9110831631[/C][/ROW]
[ROW][C]0.13[/C][C]145186.289393083[/C][C]40147.6587537802[/C][/ROW]
[ROW][C]0.14[/C][C]155939.221207706[/C][C]40047.8915859804[/C][/ROW]
[ROW][C]0.15[/C][C]166426.284212455[/C][C]39241.897355383[/C][/ROW]
[ROW][C]0.16[/C][C]176531.658290828[/C][C]38257.5585949892[/C][/ROW]
[ROW][C]0.17[/C][C]186243.372855607[/C][C]37588.3484063773[/C][/ROW]
[ROW][C]0.18[/C][C]195635.510412418[/C][C]37553.9426575948[/C][/ROW]
[ROW][C]0.19[/C][C]204832.568476031[/C][C]38232.6441374807[/C][/ROW]
[ROW][C]0.2[/C][C]213969.817635831[/C][C]39489.7652758228[/C][/ROW]
[ROW][C]0.21[/C][C]223161.323635266[/C][C]41076.2198202936[/C][/ROW]
[ROW][C]0.22[/C][C]232482.272896167[/C][C]42734.7819628095[/C][/ROW]
[ROW][C]0.23[/C][C]241966.637911901[/C][C]44278.0751276141[/C][/ROW]
[ROW][C]0.24[/C][C]251616.779229033[/C][C]45623.5126094867[/C][/ROW]
[ROW][C]0.25[/C][C]261419.179135794[/C][C]46793.8841816406[/C][/ROW]
[ROW][C]0.26[/C][C]271360.213962416[/C][C]47890.8019754381[/C][/ROW]
[ROW][C]0.27[/C][C]281437.229911957[/C][C]49048.7308025888[/C][/ROW]
[ROW][C]0.28[/C][C]291662.467414540[/C][C]50382.056454256[/C][/ROW]
[ROW][C]0.29[/C][C]302059.829457613[/C][C]51943.463806482[/C][/ROW]
[ROW][C]0.3[/C][C]312656.487612099[/C][C]53702.284495601[/C][/ROW]
[ROW][C]0.31[/C][C]323472.465999656[/C][C]55551.3680390397[/C][/ROW]
[ROW][C]0.32[/C][C]334511.501827926[/C][C]57335.6199840371[/C][/ROW]
[ROW][C]0.33[/C][C]345755.766308209[/C][C]58891.1736563402[/C][/ROW]
[ROW][C]0.34[/C][C]357165.747482761[/C][C]60082.9860697758[/C][/ROW]
[ROW][C]0.35[/C][C]368685.146658369[/C][C]60832.3542508045[/C][/ROW]
[ROW][C]0.36[/C][C]380249.407902946[/C][C]61130.3915655893[/C][/ROW]
[ROW][C]0.37[/C][C]391795.762198938[/C][C]61037.0998044788[/C][/ROW]
[ROW][C]0.38[/C][C]403272.537735241[/C][C]60665.0516779607[/C][/ROW]
[ROW][C]0.39[/C][C]414645.909600432[/C][C]60154.3477021437[/C][/ROW]
[ROW][C]0.4[/C][C]425903.050008799[/C][C]59648.292670544[/C][/ROW]
[ROW][C]0.41[/C][C]437051.546287934[/C][C]59267.1252165574[/C][/ROW]
[ROW][C]0.42[/C][C]448115.742178731[/C][C]59090.6456828016[/C][/ROW]
[ROW][C]0.43[/C][C]459131.163083869[/C][C]59154.1050269486[/C][/ROW]
[ROW][C]0.44[/C][C]470138.342568723[/C][C]59451.3624961772[/C][/ROW]
[ROW][C]0.45[/C][C]481177.208366295[/C][C]59946.9503563126[/C][/ROW]
[ROW][C]0.46[/C][C]492282.814048755[/C][C]60589.2342180591[/C][/ROW]
[ROW][C]0.47[/C][C]503482.749519477[/C][C]61321.3234882564[/C][/ROW]
[ROW][C]0.48[/C][C]514796.151828387[/C][C]62092.713350346[/C][/ROW]
[ROW][C]0.49[/C][C]526233.95248433[/C][C]62861.279124971[/C][/ROW]
[ROW][C]0.5[/C][C]537799.874912658[/C][C]63593.5058444921[/C][/ROW]
[ROW][C]0.51[/C][C]549491.72755963[/C][C]64266.1728580916[/C][/ROW]
[ROW][C]0.52[/C][C]561302.68379961[/C][C]64860.8059103542[/C][/ROW]
[ROW][C]0.53[/C][C]573222.441947624[/C][C]65361.9369281832[/C][/ROW]
[ROW][C]0.54[/C][C]585238.356628548[/C][C]65758.648103241[/C][/ROW]
[ROW][C]0.55[/C][C]597336.772087519[/C][C]66044.0650575636[/C][/ROW]
[ROW][C]0.56[/C][C]609504.827651312[/C][C]66218.7562616416[/C][/ROW]
[ROW][C]0.57[/C][C]621732.924258252[/C][C]66299.4147199165[/C][/ROW]
[ROW][C]0.58[/C][C]634017.844550711[/C][C]66318.2960047783[/C][/ROW]
[ROW][C]0.59[/C][C]646366.24655124[/C][C]66333.8856536408[/C][/ROW]
[ROW][C]0.6[/C][C]658797.976630188[/C][C]66428.5294827004[/C][/ROW]
[ROW][C]0.61[/C][C]671348.473728665[/C][C]66700.1241444154[/C][/ROW]
[ROW][C]0.62[/C][C]684069.576179279[/C][C]67254.4476998894[/C][/ROW]
[ROW][C]0.63[/C][C]697028.39025785[/C][C]68182.6594101263[/C][/ROW]
[ROW][C]0.64[/C][C]710304.58357274[/C][C]69545.1447474661[/C][/ROW]
[ROW][C]0.65[/C][C]723987.502971222[/C][C]71361.1469400813[/C][/ROW]
[ROW][C]0.66[/C][C]738175.781186266[/C][C]73620.0976980728[/C][/ROW]
[ROW][C]0.67[/C][C]752983.408937816[/C][C]76314.9497338664[/C][/ROW]
[ROW][C]0.68[/C][C]768557.367309524[/C][C]79509.272814097[/C][/ROW]
[ROW][C]0.69[/C][C]785112.541219615[/C][C]83439.4698020678[/C][/ROW]
[ROW][C]0.7[/C][C]802989.407965153[/C][C]88653.3038836887[/C][/ROW]
[ROW][C]0.71[/C][C]822738.481968789[/C][C]96183.3431954898[/C][/ROW]
[ROW][C]0.72[/C][C]845232.225574169[/C][C]107720.398135872[/C][/ROW]
[ROW][C]0.73[/C][C]871799.737200864[/C][C]125704.557626328[/C][/ROW]
[ROW][C]0.74[/C][C]904372.037201728[/C][C]153224.760792408[/C][/ROW]
[ROW][C]0.75[/C][C]945617.041048464[/C][C]193728.009433213[/C][/ROW]
[ROW][C]0.76[/C][C]999035.339471539[/C][C]250616.275194901[/C][/ROW]
[ROW][C]0.77[/C][C]1068983.74499684[/C][C]326835.519476869[/C][/ROW]
[ROW][C]0.78[/C][C]1160596.44748772[/C][C]424406.200409136[/C][/ROW]
[ROW][C]0.79[/C][C]1279585.31805732[/C][C]543944.473950496[/C][/ROW]
[ROW][C]0.8[/C][C]1431919.91117729[/C][C]684264.137730046[/C][/ROW]
[ROW][C]0.81[/C][C]1623408.60848478[/C][C]842189.383219619[/C][/ROW]
[ROW][C]0.82[/C][C]1859217.64652183[/C][C]1012639.57850943[/C][/ROW]
[ROW][C]0.83[/C][C]2143369.59796375[/C][C]1188912.87433811[/C][/ROW]
[ROW][C]0.84[/C][C]2478260.11028671[/C][C]1363013.08424553[/C][/ROW]
[ROW][C]0.85[/C][C]2864232.90904261[/C][C]1525889.43747867[/C][/ROW]
[ROW][C]0.86[/C][C]3299270.72318027[/C][C]1667715.79978588[/C][/ROW]
[ROW][C]0.87[/C][C]3778891.75850454[/C][C]1778500.36529111[/C][/ROW]
[ROW][C]0.88[/C][C]4296358.02807726[/C][C]1849455.27908083[/C][/ROW]
[ROW][C]0.89[/C][C]4843252.82772862[/C][C]1875082.10323821[/C][/ROW]
[ROW][C]0.9[/C][C]5410334.76952288[/C][C]1855095.05830571[/C][/ROW]
[ROW][C]0.91[/C][C]5988356.46999712[/C][C]1794677.07853203[/C][/ROW]
[ROW][C]0.92[/C][C]6568371.30447663[/C][C]1701793.24364502[/C][/ROW]
[ROW][C]0.93[/C][C]7141120.19275073[/C][C]1582141.40333254[/C][/ROW]
[ROW][C]0.94[/C][C]7695524.47954794[/C][C]1434836.93561427[/C][/ROW]
[ROW][C]0.95[/C][C]8217067.1367621[/C][C]1252655.01032124[/C][/ROW]
[ROW][C]0.96[/C][C]8687539.60904144[/C][C]1028486.21822904[/C][/ROW]
[ROW][C]0.97[/C][C]9087363.08385926[/C][C]766887.484719616[/C][/ROW]
[ROW][C]0.98[/C][C]9399470.01436715[/C][C]497738.976053933[/C][/ROW]
[ROW][C]0.99[/C][C]9611155.59675618[/C][C]285490.813563127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74227&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74227&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119796.257504577038645.5432003366
0.0236822.321110797625498.1469037573
0.0351385.665702144517662.5031678944
0.0462321.006022374716088.0221234439
0.0571022.338878054717477.7479694519
0.0678924.932948247219666.4777753037
0.0786840.483519893222373.0201313681
0.0895152.203569619625749.7496915848
0.09104048.86831229129646.5288966457
0.1113602.87559055733561.2564291297
0.11123766.90697405936883.1401928414
0.12134376.02042230439139.9110831631
0.13145186.28939308340147.6587537802
0.14155939.22120770640047.8915859804
0.15166426.28421245539241.897355383
0.16176531.65829082838257.5585949892
0.17186243.37285560737588.3484063773
0.18195635.51041241837553.9426575948
0.19204832.56847603138232.6441374807
0.2213969.81763583139489.7652758228
0.21223161.32363526641076.2198202936
0.22232482.27289616742734.7819628095
0.23241966.63791190144278.0751276141
0.24251616.77922903345623.5126094867
0.25261419.17913579446793.8841816406
0.26271360.21396241647890.8019754381
0.27281437.22991195749048.7308025888
0.28291662.46741454050382.056454256
0.29302059.82945761351943.463806482
0.3312656.48761209953702.284495601
0.31323472.46599965655551.3680390397
0.32334511.50182792657335.6199840371
0.33345755.76630820958891.1736563402
0.34357165.74748276160082.9860697758
0.35368685.14665836960832.3542508045
0.36380249.40790294661130.3915655893
0.37391795.76219893861037.0998044788
0.38403272.53773524160665.0516779607
0.39414645.90960043260154.3477021437
0.4425903.05000879959648.292670544
0.41437051.54628793459267.1252165574
0.42448115.74217873159090.6456828016
0.43459131.16308386959154.1050269486
0.44470138.34256872359451.3624961772
0.45481177.20836629559946.9503563126
0.46492282.81404875560589.2342180591
0.47503482.74951947761321.3234882564
0.48514796.15182838762092.713350346
0.49526233.9524843362861.279124971
0.5537799.87491265863593.5058444921
0.51549491.7275596364266.1728580916
0.52561302.6837996164860.8059103542
0.53573222.44194762465361.9369281832
0.54585238.35662854865758.648103241
0.55597336.77208751966044.0650575636
0.56609504.82765131266218.7562616416
0.57621732.92425825266299.4147199165
0.58634017.84455071166318.2960047783
0.59646366.2465512466333.8856536408
0.6658797.97663018866428.5294827004
0.61671348.47372866566700.1241444154
0.62684069.57617927967254.4476998894
0.63697028.3902578568182.6594101263
0.64710304.5835727469545.1447474661
0.65723987.50297122271361.1469400813
0.66738175.78118626673620.0976980728
0.67752983.40893781676314.9497338664
0.68768557.36730952479509.272814097
0.69785112.54121961583439.4698020678
0.7802989.40796515388653.3038836887
0.71822738.48196878996183.3431954898
0.72845232.225574169107720.398135872
0.73871799.737200864125704.557626328
0.74904372.037201728153224.760792408
0.75945617.041048464193728.009433213
0.76999035.339471539250616.275194901
0.771068983.74499684326835.519476869
0.781160596.44748772424406.200409136
0.791279585.31805732543944.473950496
0.81431919.91117729684264.137730046
0.811623408.60848478842189.383219619
0.821859217.646521831012639.57850943
0.832143369.597963751188912.87433811
0.842478260.110286711363013.08424553
0.852864232.909042611525889.43747867
0.863299270.723180271667715.79978588
0.873778891.758504541778500.36529111
0.884296358.028077261849455.27908083
0.894843252.827728621875082.10323821
0.95410334.769522881855095.05830571
0.915988356.469997121794677.07853203
0.926568371.304476631701793.24364502
0.937141120.192750731582141.40333254
0.947695524.479547941434836.93561427
0.958217067.13676211252655.01032124
0.968687539.609041441028486.21822904
0.979087363.08385926766887.484719616
0.989399470.01436715497738.976053933
0.999611155.59675618285490.813563127



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