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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 Aug 2012 11:13:14 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Aug/08/t1344439723ne98wfp3znom6rw.htm/, Retrieved Sat, 04 May 2024 00:52:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169124, Retrieved Sat, 04 May 2024 00:52:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmatthew lauwers
Estimated Impact135

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 2 - 7] [2012-08-08 15:13:14] [21ec67e1bcc74ce82382f49324ef9e61] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
990
1050
1000
1040
1030
980
990
940
1050
990
980
1110
1000
1000
1080
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1080
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950
1060
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1070
980
970
1050
950
960
1170
990
870
1090
1070
990
1080
890
920
1100
930
950
1240
950
830
1220
1040
1080
1160
900
790
1100
1000
990
1250
970
840
1220
1100
1030
1210
830
810
1100
1020
950
1280
950
720
1150
1030
1030
1200
870
880
1090
950
1060
1280
920
630
1110
1020
1130
1160
930
930
1110
930
1070
1250
840
680
1110
990
1210
1130
920
1030
1120
880
1050
1260
790
640
1110

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=169124&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=169124&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169124&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
0.01643.94932322040428.1488310720971
0.02673.50807389945249.3527148275209
0.03710.39640146316757.7589647746666
0.04746.06466279965554.1782299573722
0.05775.7330940815944.9995336974702
0.06798.53741852653336.1924651211341
0.07815.84166177284830.3704898245387
0.08829.530895700327.4019913406136
0.09841.10260459223726.2013072254222
0.1851.4640958130325.7316226251936
0.11861.0566043440525.3257788276576
0.12870.04489167551224.7225155844789
0.13878.46760912617323.9139578676818
0.14886.32397142191722.9523556614639
0.15893.60769741550521.8487088374091
0.16900.31416066284620.5856023927417
0.17906.44364128966519.182969739893
0.18912.0092111866617.725733689185
0.19917.04506745398816.3412703513679
0.2921.60787476981315.1445888279839
0.21925.76842083326214.1859376340076
0.22929.59744277265613.4368196353425
0.23933.15281606935612.8133049178283
0.24936.47406943034812.2308135036972
0.25939.58602672334811.6462714820028
0.26942.50893731234211.08174772619
0.27945.26983250589610.6143579557217
0.28947.90984516355410.3464768939612
0.29950.48439818751610.3580570852239
0.3953.056271750710.6667405636527
0.31955.68423187901211.2160257902161
0.32958.41120649960511.8925972555167
0.33961.25570465964912.560907142264
0.34964.20871854823313.0951629090536
0.35967.23648921808613.4028697494886
0.36970.2879675258713.4330347674767
0.37973.30495555747713.1829572908661
0.38976.23278805993812.693724060715
0.39979.02977054514812.0440776647053
0.4981.67413169858211.3343155752993
0.41984.16776494241710.6806686489312
0.42986.53646284540510.199306821698
0.43988.8267246103629.98639068773249
0.44991.09959535794210.1014051558224
0.45993.42238437869510.5556268925398
0.46995.85945383570411.301635600984
0.47998.46348027505412.2552786904872
0.481001.2685870805913.3030430822633
0.491004.2864862475914.3283849551581
0.51007.506268541715.2272869837161
0.511010.8978161060615.9219995326813
0.521014.4181059296816.3719448209164
0.531018.0190854408216.5755196094448
0.541021.6554913229416.5707129049984
0.551025.2910553854116.4183418244827
0.561028.9019991010816.1874992919182
0.571032.4774388680515.9434589990329
0.581036.0170922190415.7277517502889
0.591039.5272628821415.5596119458749
0.61043.0163386723715.4319507145079
0.611046.4909401842515.3273577422486
0.621049.9535084916415.2167096788818
0.631053.4016673062315.0744116923929
0.641056.8292654941314.8859396314017
0.651060.2286607470914.6483921522879
0.661063.593555505514.3737227050104
0.671066.9215504176814.0858022428352
0.681070.215580954513.8165244604046
0.691073.4836155414613.5888330869548
0.71076.7364543259213.4184370682548
0.711079.9841188767613.2939732755737
0.721083.231992165713.183858320992
0.731086.478313518913.0462926509466
0.741089.7146414709512.8456053519188
0.751092.9303778461812.5702432557834
0.761096.1214658427312.2495157715507
0.771099.3021209700311.9677485461263
0.781102.5171763008911.8567990271767
0.791105.8516271373512.0898950121162
0.81109.4336481333212.8297125381653
0.811113.4281985625414.1878119158723
0.821118.0205826263916.163091982243
0.831123.392507510818.6419542403285
0.841129.6957345162421.4214485193421
0.851137.028346519824.2539229436441
0.861145.415392414626.8769723875758
0.871154.7921390292529.0241957895017
0.881164.9901459939130.4017622185678
0.891175.7367841352430.7134038545547
0.91186.6894487570129.782677888101
0.911197.5170255406627.7356997209457
0.921208.0014065316425.0897651615081
0.931218.0890816285822.5121227005421
0.941227.848138008820.3000937458482
0.951237.4106175406518.2153832334109
0.961247.0443050965916.2761936334287
0.971257.1743855916115.3103046445657
0.981267.6292221810814.3601179894162
0.991276.241879017928.70625538387356

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 643.949323220404 & 28.1488310720971 \tabularnewline
0.02 & 673.508073899452 & 49.3527148275209 \tabularnewline
0.03 & 710.396401463167 & 57.7589647746666 \tabularnewline
0.04 & 746.064662799655 & 54.1782299573722 \tabularnewline
0.05 & 775.73309408159 & 44.9995336974702 \tabularnewline
0.06 & 798.537418526533 & 36.1924651211341 \tabularnewline
0.07 & 815.841661772848 & 30.3704898245387 \tabularnewline
0.08 & 829.5308957003 & 27.4019913406136 \tabularnewline
0.09 & 841.102604592237 & 26.2013072254222 \tabularnewline
0.1 & 851.46409581303 & 25.7316226251936 \tabularnewline
0.11 & 861.05660434405 & 25.3257788276576 \tabularnewline
0.12 & 870.044891675512 & 24.7225155844789 \tabularnewline
0.13 & 878.467609126173 & 23.9139578676818 \tabularnewline
0.14 & 886.323971421917 & 22.9523556614639 \tabularnewline
0.15 & 893.607697415505 & 21.8487088374091 \tabularnewline
0.16 & 900.314160662846 & 20.5856023927417 \tabularnewline
0.17 & 906.443641289665 & 19.182969739893 \tabularnewline
0.18 & 912.00921118666 & 17.725733689185 \tabularnewline
0.19 & 917.045067453988 & 16.3412703513679 \tabularnewline
0.2 & 921.607874769813 & 15.1445888279839 \tabularnewline
0.21 & 925.768420833262 & 14.1859376340076 \tabularnewline
0.22 & 929.597442772656 & 13.4368196353425 \tabularnewline
0.23 & 933.152816069356 & 12.8133049178283 \tabularnewline
0.24 & 936.474069430348 & 12.2308135036972 \tabularnewline
0.25 & 939.586026723348 & 11.6462714820028 \tabularnewline
0.26 & 942.508937312342 & 11.08174772619 \tabularnewline
0.27 & 945.269832505896 & 10.6143579557217 \tabularnewline
0.28 & 947.909845163554 & 10.3464768939612 \tabularnewline
0.29 & 950.484398187516 & 10.3580570852239 \tabularnewline
0.3 & 953.0562717507 & 10.6667405636527 \tabularnewline
0.31 & 955.684231879012 & 11.2160257902161 \tabularnewline
0.32 & 958.411206499605 & 11.8925972555167 \tabularnewline
0.33 & 961.255704659649 & 12.560907142264 \tabularnewline
0.34 & 964.208718548233 & 13.0951629090536 \tabularnewline
0.35 & 967.236489218086 & 13.4028697494886 \tabularnewline
0.36 & 970.28796752587 & 13.4330347674767 \tabularnewline
0.37 & 973.304955557477 & 13.1829572908661 \tabularnewline
0.38 & 976.232788059938 & 12.693724060715 \tabularnewline
0.39 & 979.029770545148 & 12.0440776647053 \tabularnewline
0.4 & 981.674131698582 & 11.3343155752993 \tabularnewline
0.41 & 984.167764942417 & 10.6806686489312 \tabularnewline
0.42 & 986.536462845405 & 10.199306821698 \tabularnewline
0.43 & 988.826724610362 & 9.98639068773249 \tabularnewline
0.44 & 991.099595357942 & 10.1014051558224 \tabularnewline
0.45 & 993.422384378695 & 10.5556268925398 \tabularnewline
0.46 & 995.859453835704 & 11.301635600984 \tabularnewline
0.47 & 998.463480275054 & 12.2552786904872 \tabularnewline
0.48 & 1001.26858708059 & 13.3030430822633 \tabularnewline
0.49 & 1004.28648624759 & 14.3283849551581 \tabularnewline
0.5 & 1007.5062685417 & 15.2272869837161 \tabularnewline
0.51 & 1010.89781610606 & 15.9219995326813 \tabularnewline
0.52 & 1014.41810592968 & 16.3719448209164 \tabularnewline
0.53 & 1018.01908544082 & 16.5755196094448 \tabularnewline
0.54 & 1021.65549132294 & 16.5707129049984 \tabularnewline
0.55 & 1025.29105538541 & 16.4183418244827 \tabularnewline
0.56 & 1028.90199910108 & 16.1874992919182 \tabularnewline
0.57 & 1032.47743886805 & 15.9434589990329 \tabularnewline
0.58 & 1036.01709221904 & 15.7277517502889 \tabularnewline
0.59 & 1039.52726288214 & 15.5596119458749 \tabularnewline
0.6 & 1043.01633867237 & 15.4319507145079 \tabularnewline
0.61 & 1046.49094018425 & 15.3273577422486 \tabularnewline
0.62 & 1049.95350849164 & 15.2167096788818 \tabularnewline
0.63 & 1053.40166730623 & 15.0744116923929 \tabularnewline
0.64 & 1056.82926549413 & 14.8859396314017 \tabularnewline
0.65 & 1060.22866074709 & 14.6483921522879 \tabularnewline
0.66 & 1063.5935555055 & 14.3737227050104 \tabularnewline
0.67 & 1066.92155041768 & 14.0858022428352 \tabularnewline
0.68 & 1070.2155809545 & 13.8165244604046 \tabularnewline
0.69 & 1073.48361554146 & 13.5888330869548 \tabularnewline
0.7 & 1076.73645432592 & 13.4184370682548 \tabularnewline
0.71 & 1079.98411887676 & 13.2939732755737 \tabularnewline
0.72 & 1083.2319921657 & 13.183858320992 \tabularnewline
0.73 & 1086.4783135189 & 13.0462926509466 \tabularnewline
0.74 & 1089.71464147095 & 12.8456053519188 \tabularnewline
0.75 & 1092.93037784618 & 12.5702432557834 \tabularnewline
0.76 & 1096.12146584273 & 12.2495157715507 \tabularnewline
0.77 & 1099.30212097003 & 11.9677485461263 \tabularnewline
0.78 & 1102.51717630089 & 11.8567990271767 \tabularnewline
0.79 & 1105.85162713735 & 12.0898950121162 \tabularnewline
0.8 & 1109.43364813332 & 12.8297125381653 \tabularnewline
0.81 & 1113.42819856254 & 14.1878119158723 \tabularnewline
0.82 & 1118.02058262639 & 16.163091982243 \tabularnewline
0.83 & 1123.3925075108 & 18.6419542403285 \tabularnewline
0.84 & 1129.69573451624 & 21.4214485193421 \tabularnewline
0.85 & 1137.0283465198 & 24.2539229436441 \tabularnewline
0.86 & 1145.4153924146 & 26.8769723875758 \tabularnewline
0.87 & 1154.79213902925 & 29.0241957895017 \tabularnewline
0.88 & 1164.99014599391 & 30.4017622185678 \tabularnewline
0.89 & 1175.73678413524 & 30.7134038545547 \tabularnewline
0.9 & 1186.68944875701 & 29.782677888101 \tabularnewline
0.91 & 1197.51702554066 & 27.7356997209457 \tabularnewline
0.92 & 1208.00140653164 & 25.0897651615081 \tabularnewline
0.93 & 1218.08908162858 & 22.5121227005421 \tabularnewline
0.94 & 1227.8481380088 & 20.3000937458482 \tabularnewline
0.95 & 1237.41061754065 & 18.2153832334109 \tabularnewline
0.96 & 1247.04430509659 & 16.2761936334287 \tabularnewline
0.97 & 1257.17438559161 & 15.3103046445657 \tabularnewline
0.98 & 1267.62922218108 & 14.3601179894162 \tabularnewline
0.99 & 1276.24187901792 & 8.70625538387356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169124&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]643.949323220404[/C][C]28.1488310720971[/C][/ROW]
[ROW][C]0.02[/C][C]673.508073899452[/C][C]49.3527148275209[/C][/ROW]
[ROW][C]0.03[/C][C]710.396401463167[/C][C]57.7589647746666[/C][/ROW]
[ROW][C]0.04[/C][C]746.064662799655[/C][C]54.1782299573722[/C][/ROW]
[ROW][C]0.05[/C][C]775.73309408159[/C][C]44.9995336974702[/C][/ROW]
[ROW][C]0.06[/C][C]798.537418526533[/C][C]36.1924651211341[/C][/ROW]
[ROW][C]0.07[/C][C]815.841661772848[/C][C]30.3704898245387[/C][/ROW]
[ROW][C]0.08[/C][C]829.5308957003[/C][C]27.4019913406136[/C][/ROW]
[ROW][C]0.09[/C][C]841.102604592237[/C][C]26.2013072254222[/C][/ROW]
[ROW][C]0.1[/C][C]851.46409581303[/C][C]25.7316226251936[/C][/ROW]
[ROW][C]0.11[/C][C]861.05660434405[/C][C]25.3257788276576[/C][/ROW]
[ROW][C]0.12[/C][C]870.044891675512[/C][C]24.7225155844789[/C][/ROW]
[ROW][C]0.13[/C][C]878.467609126173[/C][C]23.9139578676818[/C][/ROW]
[ROW][C]0.14[/C][C]886.323971421917[/C][C]22.9523556614639[/C][/ROW]
[ROW][C]0.15[/C][C]893.607697415505[/C][C]21.8487088374091[/C][/ROW]
[ROW][C]0.16[/C][C]900.314160662846[/C][C]20.5856023927417[/C][/ROW]
[ROW][C]0.17[/C][C]906.443641289665[/C][C]19.182969739893[/C][/ROW]
[ROW][C]0.18[/C][C]912.00921118666[/C][C]17.725733689185[/C][/ROW]
[ROW][C]0.19[/C][C]917.045067453988[/C][C]16.3412703513679[/C][/ROW]
[ROW][C]0.2[/C][C]921.607874769813[/C][C]15.1445888279839[/C][/ROW]
[ROW][C]0.21[/C][C]925.768420833262[/C][C]14.1859376340076[/C][/ROW]
[ROW][C]0.22[/C][C]929.597442772656[/C][C]13.4368196353425[/C][/ROW]
[ROW][C]0.23[/C][C]933.152816069356[/C][C]12.8133049178283[/C][/ROW]
[ROW][C]0.24[/C][C]936.474069430348[/C][C]12.2308135036972[/C][/ROW]
[ROW][C]0.25[/C][C]939.586026723348[/C][C]11.6462714820028[/C][/ROW]
[ROW][C]0.26[/C][C]942.508937312342[/C][C]11.08174772619[/C][/ROW]
[ROW][C]0.27[/C][C]945.269832505896[/C][C]10.6143579557217[/C][/ROW]
[ROW][C]0.28[/C][C]947.909845163554[/C][C]10.3464768939612[/C][/ROW]
[ROW][C]0.29[/C][C]950.484398187516[/C][C]10.3580570852239[/C][/ROW]
[ROW][C]0.3[/C][C]953.0562717507[/C][C]10.6667405636527[/C][/ROW]
[ROW][C]0.31[/C][C]955.684231879012[/C][C]11.2160257902161[/C][/ROW]
[ROW][C]0.32[/C][C]958.411206499605[/C][C]11.8925972555167[/C][/ROW]
[ROW][C]0.33[/C][C]961.255704659649[/C][C]12.560907142264[/C][/ROW]
[ROW][C]0.34[/C][C]964.208718548233[/C][C]13.0951629090536[/C][/ROW]
[ROW][C]0.35[/C][C]967.236489218086[/C][C]13.4028697494886[/C][/ROW]
[ROW][C]0.36[/C][C]970.28796752587[/C][C]13.4330347674767[/C][/ROW]
[ROW][C]0.37[/C][C]973.304955557477[/C][C]13.1829572908661[/C][/ROW]
[ROW][C]0.38[/C][C]976.232788059938[/C][C]12.693724060715[/C][/ROW]
[ROW][C]0.39[/C][C]979.029770545148[/C][C]12.0440776647053[/C][/ROW]
[ROW][C]0.4[/C][C]981.674131698582[/C][C]11.3343155752993[/C][/ROW]
[ROW][C]0.41[/C][C]984.167764942417[/C][C]10.6806686489312[/C][/ROW]
[ROW][C]0.42[/C][C]986.536462845405[/C][C]10.199306821698[/C][/ROW]
[ROW][C]0.43[/C][C]988.826724610362[/C][C]9.98639068773249[/C][/ROW]
[ROW][C]0.44[/C][C]991.099595357942[/C][C]10.1014051558224[/C][/ROW]
[ROW][C]0.45[/C][C]993.422384378695[/C][C]10.5556268925398[/C][/ROW]
[ROW][C]0.46[/C][C]995.859453835704[/C][C]11.301635600984[/C][/ROW]
[ROW][C]0.47[/C][C]998.463480275054[/C][C]12.2552786904872[/C][/ROW]
[ROW][C]0.48[/C][C]1001.26858708059[/C][C]13.3030430822633[/C][/ROW]
[ROW][C]0.49[/C][C]1004.28648624759[/C][C]14.3283849551581[/C][/ROW]
[ROW][C]0.5[/C][C]1007.5062685417[/C][C]15.2272869837161[/C][/ROW]
[ROW][C]0.51[/C][C]1010.89781610606[/C][C]15.9219995326813[/C][/ROW]
[ROW][C]0.52[/C][C]1014.41810592968[/C][C]16.3719448209164[/C][/ROW]
[ROW][C]0.53[/C][C]1018.01908544082[/C][C]16.5755196094448[/C][/ROW]
[ROW][C]0.54[/C][C]1021.65549132294[/C][C]16.5707129049984[/C][/ROW]
[ROW][C]0.55[/C][C]1025.29105538541[/C][C]16.4183418244827[/C][/ROW]
[ROW][C]0.56[/C][C]1028.90199910108[/C][C]16.1874992919182[/C][/ROW]
[ROW][C]0.57[/C][C]1032.47743886805[/C][C]15.9434589990329[/C][/ROW]
[ROW][C]0.58[/C][C]1036.01709221904[/C][C]15.7277517502889[/C][/ROW]
[ROW][C]0.59[/C][C]1039.52726288214[/C][C]15.5596119458749[/C][/ROW]
[ROW][C]0.6[/C][C]1043.01633867237[/C][C]15.4319507145079[/C][/ROW]
[ROW][C]0.61[/C][C]1046.49094018425[/C][C]15.3273577422486[/C][/ROW]
[ROW][C]0.62[/C][C]1049.95350849164[/C][C]15.2167096788818[/C][/ROW]
[ROW][C]0.63[/C][C]1053.40166730623[/C][C]15.0744116923929[/C][/ROW]
[ROW][C]0.64[/C][C]1056.82926549413[/C][C]14.8859396314017[/C][/ROW]
[ROW][C]0.65[/C][C]1060.22866074709[/C][C]14.6483921522879[/C][/ROW]
[ROW][C]0.66[/C][C]1063.5935555055[/C][C]14.3737227050104[/C][/ROW]
[ROW][C]0.67[/C][C]1066.92155041768[/C][C]14.0858022428352[/C][/ROW]
[ROW][C]0.68[/C][C]1070.2155809545[/C][C]13.8165244604046[/C][/ROW]
[ROW][C]0.69[/C][C]1073.48361554146[/C][C]13.5888330869548[/C][/ROW]
[ROW][C]0.7[/C][C]1076.73645432592[/C][C]13.4184370682548[/C][/ROW]
[ROW][C]0.71[/C][C]1079.98411887676[/C][C]13.2939732755737[/C][/ROW]
[ROW][C]0.72[/C][C]1083.2319921657[/C][C]13.183858320992[/C][/ROW]
[ROW][C]0.73[/C][C]1086.4783135189[/C][C]13.0462926509466[/C][/ROW]
[ROW][C]0.74[/C][C]1089.71464147095[/C][C]12.8456053519188[/C][/ROW]
[ROW][C]0.75[/C][C]1092.93037784618[/C][C]12.5702432557834[/C][/ROW]
[ROW][C]0.76[/C][C]1096.12146584273[/C][C]12.2495157715507[/C][/ROW]
[ROW][C]0.77[/C][C]1099.30212097003[/C][C]11.9677485461263[/C][/ROW]
[ROW][C]0.78[/C][C]1102.51717630089[/C][C]11.8567990271767[/C][/ROW]
[ROW][C]0.79[/C][C]1105.85162713735[/C][C]12.0898950121162[/C][/ROW]
[ROW][C]0.8[/C][C]1109.43364813332[/C][C]12.8297125381653[/C][/ROW]
[ROW][C]0.81[/C][C]1113.42819856254[/C][C]14.1878119158723[/C][/ROW]
[ROW][C]0.82[/C][C]1118.02058262639[/C][C]16.163091982243[/C][/ROW]
[ROW][C]0.83[/C][C]1123.3925075108[/C][C]18.6419542403285[/C][/ROW]
[ROW][C]0.84[/C][C]1129.69573451624[/C][C]21.4214485193421[/C][/ROW]
[ROW][C]0.85[/C][C]1137.0283465198[/C][C]24.2539229436441[/C][/ROW]
[ROW][C]0.86[/C][C]1145.4153924146[/C][C]26.8769723875758[/C][/ROW]
[ROW][C]0.87[/C][C]1154.79213902925[/C][C]29.0241957895017[/C][/ROW]
[ROW][C]0.88[/C][C]1164.99014599391[/C][C]30.4017622185678[/C][/ROW]
[ROW][C]0.89[/C][C]1175.73678413524[/C][C]30.7134038545547[/C][/ROW]
[ROW][C]0.9[/C][C]1186.68944875701[/C][C]29.782677888101[/C][/ROW]
[ROW][C]0.91[/C][C]1197.51702554066[/C][C]27.7356997209457[/C][/ROW]
[ROW][C]0.92[/C][C]1208.00140653164[/C][C]25.0897651615081[/C][/ROW]
[ROW][C]0.93[/C][C]1218.08908162858[/C][C]22.5121227005421[/C][/ROW]
[ROW][C]0.94[/C][C]1227.8481380088[/C][C]20.3000937458482[/C][/ROW]
[ROW][C]0.95[/C][C]1237.41061754065[/C][C]18.2153832334109[/C][/ROW]
[ROW][C]0.96[/C][C]1247.04430509659[/C][C]16.2761936334287[/C][/ROW]
[ROW][C]0.97[/C][C]1257.17438559161[/C][C]15.3103046445657[/C][/ROW]
[ROW][C]0.98[/C][C]1267.62922218108[/C][C]14.3601179894162[/C][/ROW]
[ROW][C]0.99[/C][C]1276.24187901792[/C][C]8.70625538387356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169124&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169124&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
0.01643.94932322040428.1488310720971
0.02673.50807389945249.3527148275209
0.03710.39640146316757.7589647746666
0.04746.06466279965554.1782299573722
0.05775.7330940815944.9995336974702
0.06798.53741852653336.1924651211341
0.07815.84166177284830.3704898245387
0.08829.530895700327.4019913406136
0.09841.10260459223726.2013072254222
0.1851.4640958130325.7316226251936
0.11861.0566043440525.3257788276576
0.12870.04489167551224.7225155844789
0.13878.46760912617323.9139578676818
0.14886.32397142191722.9523556614639
0.15893.60769741550521.8487088374091
0.16900.31416066284620.5856023927417
0.17906.44364128966519.182969739893
0.18912.0092111866617.725733689185
0.19917.04506745398816.3412703513679
0.2921.60787476981315.1445888279839
0.21925.76842083326214.1859376340076
0.22929.59744277265613.4368196353425
0.23933.15281606935612.8133049178283
0.24936.47406943034812.2308135036972
0.25939.58602672334811.6462714820028
0.26942.50893731234211.08174772619
0.27945.26983250589610.6143579557217
0.28947.90984516355410.3464768939612
0.29950.48439818751610.3580570852239
0.3953.056271750710.6667405636527
0.31955.68423187901211.2160257902161
0.32958.41120649960511.8925972555167
0.33961.25570465964912.560907142264
0.34964.20871854823313.0951629090536
0.35967.23648921808613.4028697494886
0.36970.2879675258713.4330347674767
0.37973.30495555747713.1829572908661
0.38976.23278805993812.693724060715
0.39979.02977054514812.0440776647053
0.4981.67413169858211.3343155752993
0.41984.16776494241710.6806686489312
0.42986.53646284540510.199306821698
0.43988.8267246103629.98639068773249
0.44991.09959535794210.1014051558224
0.45993.42238437869510.5556268925398
0.46995.85945383570411.301635600984
0.47998.46348027505412.2552786904872
0.481001.2685870805913.3030430822633
0.491004.2864862475914.3283849551581
0.51007.506268541715.2272869837161
0.511010.8978161060615.9219995326813
0.521014.4181059296816.3719448209164
0.531018.0190854408216.5755196094448
0.541021.6554913229416.5707129049984
0.551025.2910553854116.4183418244827
0.561028.9019991010816.1874992919182
0.571032.4774388680515.9434589990329
0.581036.0170922190415.7277517502889
0.591039.5272628821415.5596119458749
0.61043.0163386723715.4319507145079
0.611046.4909401842515.3273577422486
0.621049.9535084916415.2167096788818
0.631053.4016673062315.0744116923929
0.641056.8292654941314.8859396314017
0.651060.2286607470914.6483921522879
0.661063.593555505514.3737227050104
0.671066.9215504176814.0858022428352
0.681070.215580954513.8165244604046
0.691073.4836155414613.5888330869548
0.71076.7364543259213.4184370682548
0.711079.9841188767613.2939732755737
0.721083.231992165713.183858320992
0.731086.478313518913.0462926509466
0.741089.7146414709512.8456053519188
0.751092.9303778461812.5702432557834
0.761096.1214658427312.2495157715507
0.771099.3021209700311.9677485461263
0.781102.5171763008911.8567990271767
0.791105.8516271373512.0898950121162
0.81109.4336481333212.8297125381653
0.811113.4281985625414.1878119158723
0.821118.0205826263916.163091982243
0.831123.392507510818.6419542403285
0.841129.6957345162421.4214485193421
0.851137.028346519824.2539229436441
0.861145.415392414626.8769723875758
0.871154.7921390292529.0241957895017
0.881164.9901459939130.4017622185678
0.891175.7367841352430.7134038545547
0.91186.6894487570129.782677888101
0.911197.5170255406627.7356997209457
0.921208.0014065316425.0897651615081
0.931218.0890816285822.5121227005421
0.941227.848138008820.3000937458482
0.951237.4106175406518.2153832334109
0.961247.0443050965916.2761936334287
0.971257.1743855916115.3103046445657
0.981267.6292221810814.3601179894162
0.991276.241879017928.70625538387356


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')