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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Aug 2011 10:36:46 -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/Aug/05/t1312555224wf7idh9mcyxgcot.htm/, Retrieved Tue, 14 May 2024 19:09:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123424, Retrieved Tue, 14 May 2024 19:09:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Vlaenderen Lynn
Estimated Impact181
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [tijdreeksB-stap7] [2011-08-05 14:36:46] [d08a5fa9e4c562ec79e796d78c067f4f] [Current]
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Dataseries X:
960
1160
1040
1030
1080
1020
1000
1060
1000
980
980
1080
980
1290
1030
1000
1130
1030
900
1040
1080
1010
890
1080
950
1310
1060
1070
1150
1060
950
1090
1080
1040
900
1000
1020
1250
1060
1050
1180
1100
1020
1090
1020
960
860
1070
1040
1310
1040
1010
1130
1030
930
1070
990
970
850
1130
1060
1380
1000
970
1080
940
960
1070
1010
1020
750
1140
1040
1420
900
900
1090
950
930
1080
1000
1010
770
1100
1100
1390
930
940
1100
1030
920
1080
1000
1070
830
1100
1170
1330
980
910
1030
970
960
1100
960
1080
730
1140




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 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 & 14 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123424&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123424&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123424&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 time14 seconds
R Server'AstonUniversity' @ aston.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01745.12874510380626.8463310068093
0.02772.00788392037740.4045802511006
0.03802.49875554021945.695738518123
0.04830.79585475304541.8508206311467
0.05853.91973748790434.7288531595763
0.06871.49945773888627.8027817378054
0.07884.50733426673122.0536984519064
0.08894.22837599777418.0262753136244
0.09901.84933930995116.0187218450104
0.1908.30587796824415.5781940015674
0.11914.20225488970315.7802725824819
0.12919.82099326816815.919301098664
0.13925.22062194752415.7232605539112
0.14930.35888161245515.2200373649349
0.15935.18185926855514.5414943165577
0.16939.66193802970313.7975422508421
0.17943.80071213810513.0487580484323
0.18947.62018643557712.3351493682351
0.19951.1560911087711.7052573891088
0.2954.45562646629211.2211553759234
0.21957.57616576496710.9404549789725
0.22960.58153897367710.897433164878
0.23963.53523044443311.0808953684955
0.24966.49217241681311.43777391777
0.25969.49156085072211.8909373737209
0.26972.55249405771712.3517519655467
0.27975.6730913206812.7387338283747
0.28978.83282316245512.9873469666047
0.29981.99734679240213.051850873637
0.3985.12503662275312.913035916533
0.31988.17433416177412.5859081277842
0.32991.11086334826212.1130197850808
0.33993.91307318753511.5645571017005
0.34996.57523172646611.0203508713891
0.35999.10707736258610.5536961999452
0.361001.5302668634410.2135899430859
0.371003.8726448626710.0124843612912
0.381006.161932112539.93046331674649
0.391008.420461126849.9238728829336
0.41010.662098404519.9429982482637
0.411012.89171930279.94685253499929
0.421015.106861447569.90793965524139
0.431017.30071910039.81816459662957
0.441019.465537430989.68488779529895
0.451021.595649989429.52580324423895
0.461023.689718864059.36851036573003
0.471025.752032440989.23840165637335
0.481027.792899839049.16641109989117
0.491029.828240395859.17860830802152
0.51031.878444699279.29291253691997
0.511033.966548446929.52093690335294
0.521036.115773352089.85610643084603
0.531038.3465831861310.2794973393852
0.541040.6735677549710.755125176204
0.551043.1026463722511.2351420133992
0.561045.6291851972311.6611915015873
0.571048.2375612081411.9809164429958
0.581050.9024404584212.1517481995693
0.591053.5916172750912.1483564819059
0.61056.2698194651411.9705302582936
0.611058.9025984535111.6361054489835
0.621061.4594312661511.1747624842322
0.631063.915492625810.6211468972441
0.641066.2521018754110.0047800252892
0.651068.456397950749.35191705108245
0.661070.521109588248.67969309111809
0.671072.445204154538.01091501271652
0.681074.235703059117.37543599444287
0.691075.910207282396.82057640092448
0.71077.498986491956.40583499937672
0.711079.045196864266.19734234817861
0.721080.602159717976.24076270112598
0.731082.227677214656.5423283586325
0.741083.976788818927.05901138987995
0.751085.89559805867.7170478173379
0.761088.019115032678.44432721249941
0.771090.374939117979.20097603269834
0.781092.9920762000210.005838132526
0.791095.9111112489710.9278204924942
0.81099.1899931554712.0577203026542
0.811102.9006661081413.4407392335797
0.821107.1165793286515.0300179478403
0.831111.8985236423416.6941113484599
0.841117.2927859817918.2930956571366
0.851123.35679044919.8101819208457
0.861130.2198865375821.4770930421212
0.871138.1699152841623.8506568119294
0.881147.7310791977927.7218359235323
0.891159.670536394133.7591207821448
0.91174.8563244500141.9349242848587
0.911193.9243870154551.0076106314809
0.921216.8401050141558.4765746328801
0.931242.6387783977861.4762486403481
0.941269.7189820047958.6438535655637
0.951296.7392000811351.8396656590292
0.961323.4133881594345.3302143791586
0.971350.2090365925840.5943380253991
0.981377.2347955260233.8762431783514
0.991402.9680659023827.5697726962918

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 745.128745103806 & 26.8463310068093 \tabularnewline
0.02 & 772.007883920377 & 40.4045802511006 \tabularnewline
0.03 & 802.498755540219 & 45.695738518123 \tabularnewline
0.04 & 830.795854753045 & 41.8508206311467 \tabularnewline
0.05 & 853.919737487904 & 34.7288531595763 \tabularnewline
0.06 & 871.499457738886 & 27.8027817378054 \tabularnewline
0.07 & 884.507334266731 & 22.0536984519064 \tabularnewline
0.08 & 894.228375997774 & 18.0262753136244 \tabularnewline
0.09 & 901.849339309951 & 16.0187218450104 \tabularnewline
0.1 & 908.305877968244 & 15.5781940015674 \tabularnewline
0.11 & 914.202254889703 & 15.7802725824819 \tabularnewline
0.12 & 919.820993268168 & 15.919301098664 \tabularnewline
0.13 & 925.220621947524 & 15.7232605539112 \tabularnewline
0.14 & 930.358881612455 & 15.2200373649349 \tabularnewline
0.15 & 935.181859268555 & 14.5414943165577 \tabularnewline
0.16 & 939.661938029703 & 13.7975422508421 \tabularnewline
0.17 & 943.800712138105 & 13.0487580484323 \tabularnewline
0.18 & 947.620186435577 & 12.3351493682351 \tabularnewline
0.19 & 951.15609110877 & 11.7052573891088 \tabularnewline
0.2 & 954.455626466292 & 11.2211553759234 \tabularnewline
0.21 & 957.576165764967 & 10.9404549789725 \tabularnewline
0.22 & 960.581538973677 & 10.897433164878 \tabularnewline
0.23 & 963.535230444433 & 11.0808953684955 \tabularnewline
0.24 & 966.492172416813 & 11.43777391777 \tabularnewline
0.25 & 969.491560850722 & 11.8909373737209 \tabularnewline
0.26 & 972.552494057717 & 12.3517519655467 \tabularnewline
0.27 & 975.67309132068 & 12.7387338283747 \tabularnewline
0.28 & 978.832823162455 & 12.9873469666047 \tabularnewline
0.29 & 981.997346792402 & 13.051850873637 \tabularnewline
0.3 & 985.125036622753 & 12.913035916533 \tabularnewline
0.31 & 988.174334161774 & 12.5859081277842 \tabularnewline
0.32 & 991.110863348262 & 12.1130197850808 \tabularnewline
0.33 & 993.913073187535 & 11.5645571017005 \tabularnewline
0.34 & 996.575231726466 & 11.0203508713891 \tabularnewline
0.35 & 999.107077362586 & 10.5536961999452 \tabularnewline
0.36 & 1001.53026686344 & 10.2135899430859 \tabularnewline
0.37 & 1003.87264486267 & 10.0124843612912 \tabularnewline
0.38 & 1006.16193211253 & 9.93046331674649 \tabularnewline
0.39 & 1008.42046112684 & 9.9238728829336 \tabularnewline
0.4 & 1010.66209840451 & 9.9429982482637 \tabularnewline
0.41 & 1012.8917193027 & 9.94685253499929 \tabularnewline
0.42 & 1015.10686144756 & 9.90793965524139 \tabularnewline
0.43 & 1017.3007191003 & 9.81816459662957 \tabularnewline
0.44 & 1019.46553743098 & 9.68488779529895 \tabularnewline
0.45 & 1021.59564998942 & 9.52580324423895 \tabularnewline
0.46 & 1023.68971886405 & 9.36851036573003 \tabularnewline
0.47 & 1025.75203244098 & 9.23840165637335 \tabularnewline
0.48 & 1027.79289983904 & 9.16641109989117 \tabularnewline
0.49 & 1029.82824039585 & 9.17860830802152 \tabularnewline
0.5 & 1031.87844469927 & 9.29291253691997 \tabularnewline
0.51 & 1033.96654844692 & 9.52093690335294 \tabularnewline
0.52 & 1036.11577335208 & 9.85610643084603 \tabularnewline
0.53 & 1038.34658318613 & 10.2794973393852 \tabularnewline
0.54 & 1040.67356775497 & 10.755125176204 \tabularnewline
0.55 & 1043.10264637225 & 11.2351420133992 \tabularnewline
0.56 & 1045.62918519723 & 11.6611915015873 \tabularnewline
0.57 & 1048.23756120814 & 11.9809164429958 \tabularnewline
0.58 & 1050.90244045842 & 12.1517481995693 \tabularnewline
0.59 & 1053.59161727509 & 12.1483564819059 \tabularnewline
0.6 & 1056.26981946514 & 11.9705302582936 \tabularnewline
0.61 & 1058.90259845351 & 11.6361054489835 \tabularnewline
0.62 & 1061.45943126615 & 11.1747624842322 \tabularnewline
0.63 & 1063.9154926258 & 10.6211468972441 \tabularnewline
0.64 & 1066.25210187541 & 10.0047800252892 \tabularnewline
0.65 & 1068.45639795074 & 9.35191705108245 \tabularnewline
0.66 & 1070.52110958824 & 8.67969309111809 \tabularnewline
0.67 & 1072.44520415453 & 8.01091501271652 \tabularnewline
0.68 & 1074.23570305911 & 7.37543599444287 \tabularnewline
0.69 & 1075.91020728239 & 6.82057640092448 \tabularnewline
0.7 & 1077.49898649195 & 6.40583499937672 \tabularnewline
0.71 & 1079.04519686426 & 6.19734234817861 \tabularnewline
0.72 & 1080.60215971797 & 6.24076270112598 \tabularnewline
0.73 & 1082.22767721465 & 6.5423283586325 \tabularnewline
0.74 & 1083.97678881892 & 7.05901138987995 \tabularnewline
0.75 & 1085.8955980586 & 7.7170478173379 \tabularnewline
0.76 & 1088.01911503267 & 8.44432721249941 \tabularnewline
0.77 & 1090.37493911797 & 9.20097603269834 \tabularnewline
0.78 & 1092.99207620002 & 10.005838132526 \tabularnewline
0.79 & 1095.91111124897 & 10.9278204924942 \tabularnewline
0.8 & 1099.18999315547 & 12.0577203026542 \tabularnewline
0.81 & 1102.90066610814 & 13.4407392335797 \tabularnewline
0.82 & 1107.11657932865 & 15.0300179478403 \tabularnewline
0.83 & 1111.89852364234 & 16.6941113484599 \tabularnewline
0.84 & 1117.29278598179 & 18.2930956571366 \tabularnewline
0.85 & 1123.356790449 & 19.8101819208457 \tabularnewline
0.86 & 1130.21988653758 & 21.4770930421212 \tabularnewline
0.87 & 1138.16991528416 & 23.8506568119294 \tabularnewline
0.88 & 1147.73107919779 & 27.7218359235323 \tabularnewline
0.89 & 1159.6705363941 & 33.7591207821448 \tabularnewline
0.9 & 1174.85632445001 & 41.9349242848587 \tabularnewline
0.91 & 1193.92438701545 & 51.0076106314809 \tabularnewline
0.92 & 1216.84010501415 & 58.4765746328801 \tabularnewline
0.93 & 1242.63877839778 & 61.4762486403481 \tabularnewline
0.94 & 1269.71898200479 & 58.6438535655637 \tabularnewline
0.95 & 1296.73920008113 & 51.8396656590292 \tabularnewline
0.96 & 1323.41338815943 & 45.3302143791586 \tabularnewline
0.97 & 1350.20903659258 & 40.5943380253991 \tabularnewline
0.98 & 1377.23479552602 & 33.8762431783514 \tabularnewline
0.99 & 1402.96806590238 & 27.5697726962918 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123424&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]745.128745103806[/C][C]26.8463310068093[/C][/ROW]
[ROW][C]0.02[/C][C]772.007883920377[/C][C]40.4045802511006[/C][/ROW]
[ROW][C]0.03[/C][C]802.498755540219[/C][C]45.695738518123[/C][/ROW]
[ROW][C]0.04[/C][C]830.795854753045[/C][C]41.8508206311467[/C][/ROW]
[ROW][C]0.05[/C][C]853.919737487904[/C][C]34.7288531595763[/C][/ROW]
[ROW][C]0.06[/C][C]871.499457738886[/C][C]27.8027817378054[/C][/ROW]
[ROW][C]0.07[/C][C]884.507334266731[/C][C]22.0536984519064[/C][/ROW]
[ROW][C]0.08[/C][C]894.228375997774[/C][C]18.0262753136244[/C][/ROW]
[ROW][C]0.09[/C][C]901.849339309951[/C][C]16.0187218450104[/C][/ROW]
[ROW][C]0.1[/C][C]908.305877968244[/C][C]15.5781940015674[/C][/ROW]
[ROW][C]0.11[/C][C]914.202254889703[/C][C]15.7802725824819[/C][/ROW]
[ROW][C]0.12[/C][C]919.820993268168[/C][C]15.919301098664[/C][/ROW]
[ROW][C]0.13[/C][C]925.220621947524[/C][C]15.7232605539112[/C][/ROW]
[ROW][C]0.14[/C][C]930.358881612455[/C][C]15.2200373649349[/C][/ROW]
[ROW][C]0.15[/C][C]935.181859268555[/C][C]14.5414943165577[/C][/ROW]
[ROW][C]0.16[/C][C]939.661938029703[/C][C]13.7975422508421[/C][/ROW]
[ROW][C]0.17[/C][C]943.800712138105[/C][C]13.0487580484323[/C][/ROW]
[ROW][C]0.18[/C][C]947.620186435577[/C][C]12.3351493682351[/C][/ROW]
[ROW][C]0.19[/C][C]951.15609110877[/C][C]11.7052573891088[/C][/ROW]
[ROW][C]0.2[/C][C]954.455626466292[/C][C]11.2211553759234[/C][/ROW]
[ROW][C]0.21[/C][C]957.576165764967[/C][C]10.9404549789725[/C][/ROW]
[ROW][C]0.22[/C][C]960.581538973677[/C][C]10.897433164878[/C][/ROW]
[ROW][C]0.23[/C][C]963.535230444433[/C][C]11.0808953684955[/C][/ROW]
[ROW][C]0.24[/C][C]966.492172416813[/C][C]11.43777391777[/C][/ROW]
[ROW][C]0.25[/C][C]969.491560850722[/C][C]11.8909373737209[/C][/ROW]
[ROW][C]0.26[/C][C]972.552494057717[/C][C]12.3517519655467[/C][/ROW]
[ROW][C]0.27[/C][C]975.67309132068[/C][C]12.7387338283747[/C][/ROW]
[ROW][C]0.28[/C][C]978.832823162455[/C][C]12.9873469666047[/C][/ROW]
[ROW][C]0.29[/C][C]981.997346792402[/C][C]13.051850873637[/C][/ROW]
[ROW][C]0.3[/C][C]985.125036622753[/C][C]12.913035916533[/C][/ROW]
[ROW][C]0.31[/C][C]988.174334161774[/C][C]12.5859081277842[/C][/ROW]
[ROW][C]0.32[/C][C]991.110863348262[/C][C]12.1130197850808[/C][/ROW]
[ROW][C]0.33[/C][C]993.913073187535[/C][C]11.5645571017005[/C][/ROW]
[ROW][C]0.34[/C][C]996.575231726466[/C][C]11.0203508713891[/C][/ROW]
[ROW][C]0.35[/C][C]999.107077362586[/C][C]10.5536961999452[/C][/ROW]
[ROW][C]0.36[/C][C]1001.53026686344[/C][C]10.2135899430859[/C][/ROW]
[ROW][C]0.37[/C][C]1003.87264486267[/C][C]10.0124843612912[/C][/ROW]
[ROW][C]0.38[/C][C]1006.16193211253[/C][C]9.93046331674649[/C][/ROW]
[ROW][C]0.39[/C][C]1008.42046112684[/C][C]9.9238728829336[/C][/ROW]
[ROW][C]0.4[/C][C]1010.66209840451[/C][C]9.9429982482637[/C][/ROW]
[ROW][C]0.41[/C][C]1012.8917193027[/C][C]9.94685253499929[/C][/ROW]
[ROW][C]0.42[/C][C]1015.10686144756[/C][C]9.90793965524139[/C][/ROW]
[ROW][C]0.43[/C][C]1017.3007191003[/C][C]9.81816459662957[/C][/ROW]
[ROW][C]0.44[/C][C]1019.46553743098[/C][C]9.68488779529895[/C][/ROW]
[ROW][C]0.45[/C][C]1021.59564998942[/C][C]9.52580324423895[/C][/ROW]
[ROW][C]0.46[/C][C]1023.68971886405[/C][C]9.36851036573003[/C][/ROW]
[ROW][C]0.47[/C][C]1025.75203244098[/C][C]9.23840165637335[/C][/ROW]
[ROW][C]0.48[/C][C]1027.79289983904[/C][C]9.16641109989117[/C][/ROW]
[ROW][C]0.49[/C][C]1029.82824039585[/C][C]9.17860830802152[/C][/ROW]
[ROW][C]0.5[/C][C]1031.87844469927[/C][C]9.29291253691997[/C][/ROW]
[ROW][C]0.51[/C][C]1033.96654844692[/C][C]9.52093690335294[/C][/ROW]
[ROW][C]0.52[/C][C]1036.11577335208[/C][C]9.85610643084603[/C][/ROW]
[ROW][C]0.53[/C][C]1038.34658318613[/C][C]10.2794973393852[/C][/ROW]
[ROW][C]0.54[/C][C]1040.67356775497[/C][C]10.755125176204[/C][/ROW]
[ROW][C]0.55[/C][C]1043.10264637225[/C][C]11.2351420133992[/C][/ROW]
[ROW][C]0.56[/C][C]1045.62918519723[/C][C]11.6611915015873[/C][/ROW]
[ROW][C]0.57[/C][C]1048.23756120814[/C][C]11.9809164429958[/C][/ROW]
[ROW][C]0.58[/C][C]1050.90244045842[/C][C]12.1517481995693[/C][/ROW]
[ROW][C]0.59[/C][C]1053.59161727509[/C][C]12.1483564819059[/C][/ROW]
[ROW][C]0.6[/C][C]1056.26981946514[/C][C]11.9705302582936[/C][/ROW]
[ROW][C]0.61[/C][C]1058.90259845351[/C][C]11.6361054489835[/C][/ROW]
[ROW][C]0.62[/C][C]1061.45943126615[/C][C]11.1747624842322[/C][/ROW]
[ROW][C]0.63[/C][C]1063.9154926258[/C][C]10.6211468972441[/C][/ROW]
[ROW][C]0.64[/C][C]1066.25210187541[/C][C]10.0047800252892[/C][/ROW]
[ROW][C]0.65[/C][C]1068.45639795074[/C][C]9.35191705108245[/C][/ROW]
[ROW][C]0.66[/C][C]1070.52110958824[/C][C]8.67969309111809[/C][/ROW]
[ROW][C]0.67[/C][C]1072.44520415453[/C][C]8.01091501271652[/C][/ROW]
[ROW][C]0.68[/C][C]1074.23570305911[/C][C]7.37543599444287[/C][/ROW]
[ROW][C]0.69[/C][C]1075.91020728239[/C][C]6.82057640092448[/C][/ROW]
[ROW][C]0.7[/C][C]1077.49898649195[/C][C]6.40583499937672[/C][/ROW]
[ROW][C]0.71[/C][C]1079.04519686426[/C][C]6.19734234817861[/C][/ROW]
[ROW][C]0.72[/C][C]1080.60215971797[/C][C]6.24076270112598[/C][/ROW]
[ROW][C]0.73[/C][C]1082.22767721465[/C][C]6.5423283586325[/C][/ROW]
[ROW][C]0.74[/C][C]1083.97678881892[/C][C]7.05901138987995[/C][/ROW]
[ROW][C]0.75[/C][C]1085.8955980586[/C][C]7.7170478173379[/C][/ROW]
[ROW][C]0.76[/C][C]1088.01911503267[/C][C]8.44432721249941[/C][/ROW]
[ROW][C]0.77[/C][C]1090.37493911797[/C][C]9.20097603269834[/C][/ROW]
[ROW][C]0.78[/C][C]1092.99207620002[/C][C]10.005838132526[/C][/ROW]
[ROW][C]0.79[/C][C]1095.91111124897[/C][C]10.9278204924942[/C][/ROW]
[ROW][C]0.8[/C][C]1099.18999315547[/C][C]12.0577203026542[/C][/ROW]
[ROW][C]0.81[/C][C]1102.90066610814[/C][C]13.4407392335797[/C][/ROW]
[ROW][C]0.82[/C][C]1107.11657932865[/C][C]15.0300179478403[/C][/ROW]
[ROW][C]0.83[/C][C]1111.89852364234[/C][C]16.6941113484599[/C][/ROW]
[ROW][C]0.84[/C][C]1117.29278598179[/C][C]18.2930956571366[/C][/ROW]
[ROW][C]0.85[/C][C]1123.356790449[/C][C]19.8101819208457[/C][/ROW]
[ROW][C]0.86[/C][C]1130.21988653758[/C][C]21.4770930421212[/C][/ROW]
[ROW][C]0.87[/C][C]1138.16991528416[/C][C]23.8506568119294[/C][/ROW]
[ROW][C]0.88[/C][C]1147.73107919779[/C][C]27.7218359235323[/C][/ROW]
[ROW][C]0.89[/C][C]1159.6705363941[/C][C]33.7591207821448[/C][/ROW]
[ROW][C]0.9[/C][C]1174.85632445001[/C][C]41.9349242848587[/C][/ROW]
[ROW][C]0.91[/C][C]1193.92438701545[/C][C]51.0076106314809[/C][/ROW]
[ROW][C]0.92[/C][C]1216.84010501415[/C][C]58.4765746328801[/C][/ROW]
[ROW][C]0.93[/C][C]1242.63877839778[/C][C]61.4762486403481[/C][/ROW]
[ROW][C]0.94[/C][C]1269.71898200479[/C][C]58.6438535655637[/C][/ROW]
[ROW][C]0.95[/C][C]1296.73920008113[/C][C]51.8396656590292[/C][/ROW]
[ROW][C]0.96[/C][C]1323.41338815943[/C][C]45.3302143791586[/C][/ROW]
[ROW][C]0.97[/C][C]1350.20903659258[/C][C]40.5943380253991[/C][/ROW]
[ROW][C]0.98[/C][C]1377.23479552602[/C][C]33.8762431783514[/C][/ROW]
[ROW][C]0.99[/C][C]1402.96806590238[/C][C]27.5697726962918[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123424&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123424&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
0.01745.12874510380626.8463310068093
0.02772.00788392037740.4045802511006
0.03802.49875554021945.695738518123
0.04830.79585475304541.8508206311467
0.05853.91973748790434.7288531595763
0.06871.49945773888627.8027817378054
0.07884.50733426673122.0536984519064
0.08894.22837599777418.0262753136244
0.09901.84933930995116.0187218450104
0.1908.30587796824415.5781940015674
0.11914.20225488970315.7802725824819
0.12919.82099326816815.919301098664
0.13925.22062194752415.7232605539112
0.14930.35888161245515.2200373649349
0.15935.18185926855514.5414943165577
0.16939.66193802970313.7975422508421
0.17943.80071213810513.0487580484323
0.18947.62018643557712.3351493682351
0.19951.1560911087711.7052573891088
0.2954.45562646629211.2211553759234
0.21957.57616576496710.9404549789725
0.22960.58153897367710.897433164878
0.23963.53523044443311.0808953684955
0.24966.49217241681311.43777391777
0.25969.49156085072211.8909373737209
0.26972.55249405771712.3517519655467
0.27975.6730913206812.7387338283747
0.28978.83282316245512.9873469666047
0.29981.99734679240213.051850873637
0.3985.12503662275312.913035916533
0.31988.17433416177412.5859081277842
0.32991.11086334826212.1130197850808
0.33993.91307318753511.5645571017005
0.34996.57523172646611.0203508713891
0.35999.10707736258610.5536961999452
0.361001.5302668634410.2135899430859
0.371003.8726448626710.0124843612912
0.381006.161932112539.93046331674649
0.391008.420461126849.9238728829336
0.41010.662098404519.9429982482637
0.411012.89171930279.94685253499929
0.421015.106861447569.90793965524139
0.431017.30071910039.81816459662957
0.441019.465537430989.68488779529895
0.451021.595649989429.52580324423895
0.461023.689718864059.36851036573003
0.471025.752032440989.23840165637335
0.481027.792899839049.16641109989117
0.491029.828240395859.17860830802152
0.51031.878444699279.29291253691997
0.511033.966548446929.52093690335294
0.521036.115773352089.85610643084603
0.531038.3465831861310.2794973393852
0.541040.6735677549710.755125176204
0.551043.1026463722511.2351420133992
0.561045.6291851972311.6611915015873
0.571048.2375612081411.9809164429958
0.581050.9024404584212.1517481995693
0.591053.5916172750912.1483564819059
0.61056.2698194651411.9705302582936
0.611058.9025984535111.6361054489835
0.621061.4594312661511.1747624842322
0.631063.915492625810.6211468972441
0.641066.2521018754110.0047800252892
0.651068.456397950749.35191705108245
0.661070.521109588248.67969309111809
0.671072.445204154538.01091501271652
0.681074.235703059117.37543599444287
0.691075.910207282396.82057640092448
0.71077.498986491956.40583499937672
0.711079.045196864266.19734234817861
0.721080.602159717976.24076270112598
0.731082.227677214656.5423283586325
0.741083.976788818927.05901138987995
0.751085.89559805867.7170478173379
0.761088.019115032678.44432721249941
0.771090.374939117979.20097603269834
0.781092.9920762000210.005838132526
0.791095.9111112489710.9278204924942
0.81099.1899931554712.0577203026542
0.811102.9006661081413.4407392335797
0.821107.1165793286515.0300179478403
0.831111.8985236423416.6941113484599
0.841117.2927859817918.2930956571366
0.851123.35679044919.8101819208457
0.861130.2198865375821.4770930421212
0.871138.1699152841623.8506568119294
0.881147.7310791977927.7218359235323
0.891159.670536394133.7591207821448
0.91174.8563244500141.9349242848587
0.911193.9243870154551.0076106314809
0.921216.8401050141558.4765746328801
0.931242.6387783977861.4762486403481
0.941269.7189820047958.6438535655637
0.951296.7392000811351.8396656590292
0.961323.4133881594345.3302143791586
0.971350.2090365925840.5943380253991
0.981377.2347955260233.8762431783514
0.991402.9680659023827.5697726962918



Parameters (Session):
par1 = grey ;
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')