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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 12:32:43 -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/t1268163233l9s5xtxrd97ya79.htm/, Retrieved Wed, 19 Jan 2022 10:34:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74231, Retrieved Wed, 19 Jan 2022 10:34:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harell Davis perc...] [2010-03-09 19:32:43] [2aa5bad7942f7e33426bcac9d4e6ffec] [Current]
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Dataseries X:
3592.21
5955.74
4652.25
4211.65
4787.85
3599.73
4174.27
5106.33
5325.75
6604.61
5711.90
6919.30
7048.76
8655.98
6658.53
7247.03
8779.57
6602.49
9832.48
9369.49
8582.76
8206.94
6515.83
8618.10
8505.39
9881.64
9375.29
15642.50
12232.73
6288.93
12473.94
11142.82
10236.32
10581.51
8763.71
10819.04
11636.25
14650.13
10671.38
17468.63
13873.19
13077.58
16866.81
14186.64
19919.87
17681.78
9984.28
17423.09
13514.45
12334.57
12274.56
11752.23
13054.00
12460.98
8626.68
13722.62
12066.22
6798.83
6593.82
6606.19
6315.28
7232.95
6747.44
7803.61
6700.31
5369.53
8081.19
10718.39
9447.21
6815.10
5497.80
6805.31




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=74231&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=74231&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74231&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
0.013644.63352872751153.015345185981
0.023763.01882034796304.610278171386
0.033931.81580073142388.192506377299
0.044123.41977592376419.256093920791
0.054316.92767776203432.996013887903
0.064502.65842466036443.423833040338
0.074678.10132626878449.638787179298
0.084843.38486947822450.286752412179
0.094999.22398478119447.552523092395
0.15146.6019207107445.302976105083
0.115286.8373355144446.489845670174
0.125421.41155334248451.586162045468
0.135551.5716721141458.396967056705
0.145677.94334387102463.125557652680
0.155800.3388245773461.858636479064
0.165917.81912769253451.869893971106
0.176028.9616004722432.162939417666
0.186132.22771023917403.538532519016
0.196226.319874714368.215211699563
0.26310.44549020832329.222576674029
0.216384.45048574975289.808449361897
0.226448.82593625873253.004109380105
0.236504.61893726043221.316148500196
0.246553.29034500348196.619424323277
0.256596.55987313264180.163045718290
0.266636.26851636421172.607029212923
0.276674.27443077135174.096564463572
0.286712.38515258361184.401913223155
0.296752.31887873177203.087394574962
0.36795.68171345985229.623793566108
0.316843.94655568327263.411994093601
0.326898.42211226122303.599067313847
0.336960.20621398783349.039536295816
0.347030.1246413645398.098998809234
0.357108.6633837321448.745580045379
0.367195.90718150381498.587991770822
0.377291.49928108483545.031889442311
0.387394.63609268531585.551941291881
0.397504.10605295453617.958180166974
0.47618.3752275188640.640621235539
0.417735.71427644885652.820320250705
0.427854.35383096827654.669299875298
0.437972.64955970447647.306739086583
0.448089.23541337851632.749729364415
0.458203.14437391445613.665756802748
0.468313.8804642991593.068261658226
0.478421.4330674376573.974178918698
0.488526.23345123581559.01367350259
0.498629.06217926078550.054014059254
0.58730.92318980547548.018128467787
0.518832.9044893868552.7664555338
0.528936.04598411371563.300743539735
0.539041.23206241295578.019637103737
0.549149.12094178445595.162037351002
0.559260.11578254152613.002649090983
0.569374.37559380948630.162226939877
0.579491.85825914018645.700741657128
0.589612.3843685371659.088404845474
0.599735.70914880844670.316774919617
0.69861.59030692044679.647698385327
0.619989.84143021275687.669477552812
0.6210120.3631293828695.03148099253
0.6310253.1470328076702.355256782173
0.6410388.2510505781710.090065667797
0.6510525.7482343661718.321282847337
0.6610665.6561803275726.666766952313
0.6710807.8589438899734.248425553133
0.6810952.0379221227739.731444164579
0.6911097.6306369103741.526234414221
0.711243.8352077500738.135543084773
0.7111389.6724111421728.466867709018
0.7211534.1065872831712.213448516298
0.7311676.2128115458690.067883826373
0.7411815.3637360117663.867864548443
0.7511951.3993132041636.412608606487
0.7612084.7401963200611.176050975596
0.7712216.4137039885591.646623759834
0.7812347.980269509580.620419459089
0.7912481.3756866216579.514937659426
0.812618.7145438959588.077232540523
0.8112762.1248255055604.648798243775
0.8212913.6932375622627.061673261064
0.8313075.5861990285653.829840787213
0.8413250.3657954156685.257969920427
0.8513441.4416538874724.18783308411
0.8613653.4961796414775.820513965299
0.8713892.6143833968846.127958448653
0.8814165.7844895991938.546701070945
0.8914479.47945335111049.77608556902
0.914837.26433306891166.38519315649
0.9115236.86518854011264.27124559063
0.9215667.88031796231312.51676646258
0.9316112.19633330911282.76228442926
0.9416549.87885982641163.66619421447
0.9516972.9588100964977.969280969888
0.9617405.4329412977804.113985994777
0.9717914.2992351152808.143263529506
0.9818572.49952284261145.90860484590
0.9919335.83409799121721.65036263876

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3644.63352872751 & 153.015345185981 \tabularnewline
0.02 & 3763.01882034796 & 304.610278171386 \tabularnewline
0.03 & 3931.81580073142 & 388.192506377299 \tabularnewline
0.04 & 4123.41977592376 & 419.256093920791 \tabularnewline
0.05 & 4316.92767776203 & 432.996013887903 \tabularnewline
0.06 & 4502.65842466036 & 443.423833040338 \tabularnewline
0.07 & 4678.10132626878 & 449.638787179298 \tabularnewline
0.08 & 4843.38486947822 & 450.286752412179 \tabularnewline
0.09 & 4999.22398478119 & 447.552523092395 \tabularnewline
0.1 & 5146.6019207107 & 445.302976105083 \tabularnewline
0.11 & 5286.8373355144 & 446.489845670174 \tabularnewline
0.12 & 5421.41155334248 & 451.586162045468 \tabularnewline
0.13 & 5551.5716721141 & 458.396967056705 \tabularnewline
0.14 & 5677.94334387102 & 463.125557652680 \tabularnewline
0.15 & 5800.3388245773 & 461.858636479064 \tabularnewline
0.16 & 5917.81912769253 & 451.869893971106 \tabularnewline
0.17 & 6028.9616004722 & 432.162939417666 \tabularnewline
0.18 & 6132.22771023917 & 403.538532519016 \tabularnewline
0.19 & 6226.319874714 & 368.215211699563 \tabularnewline
0.2 & 6310.44549020832 & 329.222576674029 \tabularnewline
0.21 & 6384.45048574975 & 289.808449361897 \tabularnewline
0.22 & 6448.82593625873 & 253.004109380105 \tabularnewline
0.23 & 6504.61893726043 & 221.316148500196 \tabularnewline
0.24 & 6553.29034500348 & 196.619424323277 \tabularnewline
0.25 & 6596.55987313264 & 180.163045718290 \tabularnewline
0.26 & 6636.26851636421 & 172.607029212923 \tabularnewline
0.27 & 6674.27443077135 & 174.096564463572 \tabularnewline
0.28 & 6712.38515258361 & 184.401913223155 \tabularnewline
0.29 & 6752.31887873177 & 203.087394574962 \tabularnewline
0.3 & 6795.68171345985 & 229.623793566108 \tabularnewline
0.31 & 6843.94655568327 & 263.411994093601 \tabularnewline
0.32 & 6898.42211226122 & 303.599067313847 \tabularnewline
0.33 & 6960.20621398783 & 349.039536295816 \tabularnewline
0.34 & 7030.1246413645 & 398.098998809234 \tabularnewline
0.35 & 7108.6633837321 & 448.745580045379 \tabularnewline
0.36 & 7195.90718150381 & 498.587991770822 \tabularnewline
0.37 & 7291.49928108483 & 545.031889442311 \tabularnewline
0.38 & 7394.63609268531 & 585.551941291881 \tabularnewline
0.39 & 7504.10605295453 & 617.958180166974 \tabularnewline
0.4 & 7618.3752275188 & 640.640621235539 \tabularnewline
0.41 & 7735.71427644885 & 652.820320250705 \tabularnewline
0.42 & 7854.35383096827 & 654.669299875298 \tabularnewline
0.43 & 7972.64955970447 & 647.306739086583 \tabularnewline
0.44 & 8089.23541337851 & 632.749729364415 \tabularnewline
0.45 & 8203.14437391445 & 613.665756802748 \tabularnewline
0.46 & 8313.8804642991 & 593.068261658226 \tabularnewline
0.47 & 8421.4330674376 & 573.974178918698 \tabularnewline
0.48 & 8526.23345123581 & 559.01367350259 \tabularnewline
0.49 & 8629.06217926078 & 550.054014059254 \tabularnewline
0.5 & 8730.92318980547 & 548.018128467787 \tabularnewline
0.51 & 8832.9044893868 & 552.7664555338 \tabularnewline
0.52 & 8936.04598411371 & 563.300743539735 \tabularnewline
0.53 & 9041.23206241295 & 578.019637103737 \tabularnewline
0.54 & 9149.12094178445 & 595.162037351002 \tabularnewline
0.55 & 9260.11578254152 & 613.002649090983 \tabularnewline
0.56 & 9374.37559380948 & 630.162226939877 \tabularnewline
0.57 & 9491.85825914018 & 645.700741657128 \tabularnewline
0.58 & 9612.3843685371 & 659.088404845474 \tabularnewline
0.59 & 9735.70914880844 & 670.316774919617 \tabularnewline
0.6 & 9861.59030692044 & 679.647698385327 \tabularnewline
0.61 & 9989.84143021275 & 687.669477552812 \tabularnewline
0.62 & 10120.3631293828 & 695.03148099253 \tabularnewline
0.63 & 10253.1470328076 & 702.355256782173 \tabularnewline
0.64 & 10388.2510505781 & 710.090065667797 \tabularnewline
0.65 & 10525.7482343661 & 718.321282847337 \tabularnewline
0.66 & 10665.6561803275 & 726.666766952313 \tabularnewline
0.67 & 10807.8589438899 & 734.248425553133 \tabularnewline
0.68 & 10952.0379221227 & 739.731444164579 \tabularnewline
0.69 & 11097.6306369103 & 741.526234414221 \tabularnewline
0.7 & 11243.8352077500 & 738.135543084773 \tabularnewline
0.71 & 11389.6724111421 & 728.466867709018 \tabularnewline
0.72 & 11534.1065872831 & 712.213448516298 \tabularnewline
0.73 & 11676.2128115458 & 690.067883826373 \tabularnewline
0.74 & 11815.3637360117 & 663.867864548443 \tabularnewline
0.75 & 11951.3993132041 & 636.412608606487 \tabularnewline
0.76 & 12084.7401963200 & 611.176050975596 \tabularnewline
0.77 & 12216.4137039885 & 591.646623759834 \tabularnewline
0.78 & 12347.980269509 & 580.620419459089 \tabularnewline
0.79 & 12481.3756866216 & 579.514937659426 \tabularnewline
0.8 & 12618.7145438959 & 588.077232540523 \tabularnewline
0.81 & 12762.1248255055 & 604.648798243775 \tabularnewline
0.82 & 12913.6932375622 & 627.061673261064 \tabularnewline
0.83 & 13075.5861990285 & 653.829840787213 \tabularnewline
0.84 & 13250.3657954156 & 685.257969920427 \tabularnewline
0.85 & 13441.4416538874 & 724.18783308411 \tabularnewline
0.86 & 13653.4961796414 & 775.820513965299 \tabularnewline
0.87 & 13892.6143833968 & 846.127958448653 \tabularnewline
0.88 & 14165.7844895991 & 938.546701070945 \tabularnewline
0.89 & 14479.4794533511 & 1049.77608556902 \tabularnewline
0.9 & 14837.2643330689 & 1166.38519315649 \tabularnewline
0.91 & 15236.8651885401 & 1264.27124559063 \tabularnewline
0.92 & 15667.8803179623 & 1312.51676646258 \tabularnewline
0.93 & 16112.1963333091 & 1282.76228442926 \tabularnewline
0.94 & 16549.8788598264 & 1163.66619421447 \tabularnewline
0.95 & 16972.9588100964 & 977.969280969888 \tabularnewline
0.96 & 17405.4329412977 & 804.113985994777 \tabularnewline
0.97 & 17914.2992351152 & 808.143263529506 \tabularnewline
0.98 & 18572.4995228426 & 1145.90860484590 \tabularnewline
0.99 & 19335.8340979912 & 1721.65036263876 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74231&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]3644.63352872751[/C][C]153.015345185981[/C][/ROW]
[ROW][C]0.02[/C][C]3763.01882034796[/C][C]304.610278171386[/C][/ROW]
[ROW][C]0.03[/C][C]3931.81580073142[/C][C]388.192506377299[/C][/ROW]
[ROW][C]0.04[/C][C]4123.41977592376[/C][C]419.256093920791[/C][/ROW]
[ROW][C]0.05[/C][C]4316.92767776203[/C][C]432.996013887903[/C][/ROW]
[ROW][C]0.06[/C][C]4502.65842466036[/C][C]443.423833040338[/C][/ROW]
[ROW][C]0.07[/C][C]4678.10132626878[/C][C]449.638787179298[/C][/ROW]
[ROW][C]0.08[/C][C]4843.38486947822[/C][C]450.286752412179[/C][/ROW]
[ROW][C]0.09[/C][C]4999.22398478119[/C][C]447.552523092395[/C][/ROW]
[ROW][C]0.1[/C][C]5146.6019207107[/C][C]445.302976105083[/C][/ROW]
[ROW][C]0.11[/C][C]5286.8373355144[/C][C]446.489845670174[/C][/ROW]
[ROW][C]0.12[/C][C]5421.41155334248[/C][C]451.586162045468[/C][/ROW]
[ROW][C]0.13[/C][C]5551.5716721141[/C][C]458.396967056705[/C][/ROW]
[ROW][C]0.14[/C][C]5677.94334387102[/C][C]463.125557652680[/C][/ROW]
[ROW][C]0.15[/C][C]5800.3388245773[/C][C]461.858636479064[/C][/ROW]
[ROW][C]0.16[/C][C]5917.81912769253[/C][C]451.869893971106[/C][/ROW]
[ROW][C]0.17[/C][C]6028.9616004722[/C][C]432.162939417666[/C][/ROW]
[ROW][C]0.18[/C][C]6132.22771023917[/C][C]403.538532519016[/C][/ROW]
[ROW][C]0.19[/C][C]6226.319874714[/C][C]368.215211699563[/C][/ROW]
[ROW][C]0.2[/C][C]6310.44549020832[/C][C]329.222576674029[/C][/ROW]
[ROW][C]0.21[/C][C]6384.45048574975[/C][C]289.808449361897[/C][/ROW]
[ROW][C]0.22[/C][C]6448.82593625873[/C][C]253.004109380105[/C][/ROW]
[ROW][C]0.23[/C][C]6504.61893726043[/C][C]221.316148500196[/C][/ROW]
[ROW][C]0.24[/C][C]6553.29034500348[/C][C]196.619424323277[/C][/ROW]
[ROW][C]0.25[/C][C]6596.55987313264[/C][C]180.163045718290[/C][/ROW]
[ROW][C]0.26[/C][C]6636.26851636421[/C][C]172.607029212923[/C][/ROW]
[ROW][C]0.27[/C][C]6674.27443077135[/C][C]174.096564463572[/C][/ROW]
[ROW][C]0.28[/C][C]6712.38515258361[/C][C]184.401913223155[/C][/ROW]
[ROW][C]0.29[/C][C]6752.31887873177[/C][C]203.087394574962[/C][/ROW]
[ROW][C]0.3[/C][C]6795.68171345985[/C][C]229.623793566108[/C][/ROW]
[ROW][C]0.31[/C][C]6843.94655568327[/C][C]263.411994093601[/C][/ROW]
[ROW][C]0.32[/C][C]6898.42211226122[/C][C]303.599067313847[/C][/ROW]
[ROW][C]0.33[/C][C]6960.20621398783[/C][C]349.039536295816[/C][/ROW]
[ROW][C]0.34[/C][C]7030.1246413645[/C][C]398.098998809234[/C][/ROW]
[ROW][C]0.35[/C][C]7108.6633837321[/C][C]448.745580045379[/C][/ROW]
[ROW][C]0.36[/C][C]7195.90718150381[/C][C]498.587991770822[/C][/ROW]
[ROW][C]0.37[/C][C]7291.49928108483[/C][C]545.031889442311[/C][/ROW]
[ROW][C]0.38[/C][C]7394.63609268531[/C][C]585.551941291881[/C][/ROW]
[ROW][C]0.39[/C][C]7504.10605295453[/C][C]617.958180166974[/C][/ROW]
[ROW][C]0.4[/C][C]7618.3752275188[/C][C]640.640621235539[/C][/ROW]
[ROW][C]0.41[/C][C]7735.71427644885[/C][C]652.820320250705[/C][/ROW]
[ROW][C]0.42[/C][C]7854.35383096827[/C][C]654.669299875298[/C][/ROW]
[ROW][C]0.43[/C][C]7972.64955970447[/C][C]647.306739086583[/C][/ROW]
[ROW][C]0.44[/C][C]8089.23541337851[/C][C]632.749729364415[/C][/ROW]
[ROW][C]0.45[/C][C]8203.14437391445[/C][C]613.665756802748[/C][/ROW]
[ROW][C]0.46[/C][C]8313.8804642991[/C][C]593.068261658226[/C][/ROW]
[ROW][C]0.47[/C][C]8421.4330674376[/C][C]573.974178918698[/C][/ROW]
[ROW][C]0.48[/C][C]8526.23345123581[/C][C]559.01367350259[/C][/ROW]
[ROW][C]0.49[/C][C]8629.06217926078[/C][C]550.054014059254[/C][/ROW]
[ROW][C]0.5[/C][C]8730.92318980547[/C][C]548.018128467787[/C][/ROW]
[ROW][C]0.51[/C][C]8832.9044893868[/C][C]552.7664555338[/C][/ROW]
[ROW][C]0.52[/C][C]8936.04598411371[/C][C]563.300743539735[/C][/ROW]
[ROW][C]0.53[/C][C]9041.23206241295[/C][C]578.019637103737[/C][/ROW]
[ROW][C]0.54[/C][C]9149.12094178445[/C][C]595.162037351002[/C][/ROW]
[ROW][C]0.55[/C][C]9260.11578254152[/C][C]613.002649090983[/C][/ROW]
[ROW][C]0.56[/C][C]9374.37559380948[/C][C]630.162226939877[/C][/ROW]
[ROW][C]0.57[/C][C]9491.85825914018[/C][C]645.700741657128[/C][/ROW]
[ROW][C]0.58[/C][C]9612.3843685371[/C][C]659.088404845474[/C][/ROW]
[ROW][C]0.59[/C][C]9735.70914880844[/C][C]670.316774919617[/C][/ROW]
[ROW][C]0.6[/C][C]9861.59030692044[/C][C]679.647698385327[/C][/ROW]
[ROW][C]0.61[/C][C]9989.84143021275[/C][C]687.669477552812[/C][/ROW]
[ROW][C]0.62[/C][C]10120.3631293828[/C][C]695.03148099253[/C][/ROW]
[ROW][C]0.63[/C][C]10253.1470328076[/C][C]702.355256782173[/C][/ROW]
[ROW][C]0.64[/C][C]10388.2510505781[/C][C]710.090065667797[/C][/ROW]
[ROW][C]0.65[/C][C]10525.7482343661[/C][C]718.321282847337[/C][/ROW]
[ROW][C]0.66[/C][C]10665.6561803275[/C][C]726.666766952313[/C][/ROW]
[ROW][C]0.67[/C][C]10807.8589438899[/C][C]734.248425553133[/C][/ROW]
[ROW][C]0.68[/C][C]10952.0379221227[/C][C]739.731444164579[/C][/ROW]
[ROW][C]0.69[/C][C]11097.6306369103[/C][C]741.526234414221[/C][/ROW]
[ROW][C]0.7[/C][C]11243.8352077500[/C][C]738.135543084773[/C][/ROW]
[ROW][C]0.71[/C][C]11389.6724111421[/C][C]728.466867709018[/C][/ROW]
[ROW][C]0.72[/C][C]11534.1065872831[/C][C]712.213448516298[/C][/ROW]
[ROW][C]0.73[/C][C]11676.2128115458[/C][C]690.067883826373[/C][/ROW]
[ROW][C]0.74[/C][C]11815.3637360117[/C][C]663.867864548443[/C][/ROW]
[ROW][C]0.75[/C][C]11951.3993132041[/C][C]636.412608606487[/C][/ROW]
[ROW][C]0.76[/C][C]12084.7401963200[/C][C]611.176050975596[/C][/ROW]
[ROW][C]0.77[/C][C]12216.4137039885[/C][C]591.646623759834[/C][/ROW]
[ROW][C]0.78[/C][C]12347.980269509[/C][C]580.620419459089[/C][/ROW]
[ROW][C]0.79[/C][C]12481.3756866216[/C][C]579.514937659426[/C][/ROW]
[ROW][C]0.8[/C][C]12618.7145438959[/C][C]588.077232540523[/C][/ROW]
[ROW][C]0.81[/C][C]12762.1248255055[/C][C]604.648798243775[/C][/ROW]
[ROW][C]0.82[/C][C]12913.6932375622[/C][C]627.061673261064[/C][/ROW]
[ROW][C]0.83[/C][C]13075.5861990285[/C][C]653.829840787213[/C][/ROW]
[ROW][C]0.84[/C][C]13250.3657954156[/C][C]685.257969920427[/C][/ROW]
[ROW][C]0.85[/C][C]13441.4416538874[/C][C]724.18783308411[/C][/ROW]
[ROW][C]0.86[/C][C]13653.4961796414[/C][C]775.820513965299[/C][/ROW]
[ROW][C]0.87[/C][C]13892.6143833968[/C][C]846.127958448653[/C][/ROW]
[ROW][C]0.88[/C][C]14165.7844895991[/C][C]938.546701070945[/C][/ROW]
[ROW][C]0.89[/C][C]14479.4794533511[/C][C]1049.77608556902[/C][/ROW]
[ROW][C]0.9[/C][C]14837.2643330689[/C][C]1166.38519315649[/C][/ROW]
[ROW][C]0.91[/C][C]15236.8651885401[/C][C]1264.27124559063[/C][/ROW]
[ROW][C]0.92[/C][C]15667.8803179623[/C][C]1312.51676646258[/C][/ROW]
[ROW][C]0.93[/C][C]16112.1963333091[/C][C]1282.76228442926[/C][/ROW]
[ROW][C]0.94[/C][C]16549.8788598264[/C][C]1163.66619421447[/C][/ROW]
[ROW][C]0.95[/C][C]16972.9588100964[/C][C]977.969280969888[/C][/ROW]
[ROW][C]0.96[/C][C]17405.4329412977[/C][C]804.113985994777[/C][/ROW]
[ROW][C]0.97[/C][C]17914.2992351152[/C][C]808.143263529506[/C][/ROW]
[ROW][C]0.98[/C][C]18572.4995228426[/C][C]1145.90860484590[/C][/ROW]
[ROW][C]0.99[/C][C]19335.8340979912[/C][C]1721.65036263876[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74231&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74231&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
0.013644.63352872751153.015345185981
0.023763.01882034796304.610278171386
0.033931.81580073142388.192506377299
0.044123.41977592376419.256093920791
0.054316.92767776203432.996013887903
0.064502.65842466036443.423833040338
0.074678.10132626878449.638787179298
0.084843.38486947822450.286752412179
0.094999.22398478119447.552523092395
0.15146.6019207107445.302976105083
0.115286.8373355144446.489845670174
0.125421.41155334248451.586162045468
0.135551.5716721141458.396967056705
0.145677.94334387102463.125557652680
0.155800.3388245773461.858636479064
0.165917.81912769253451.869893971106
0.176028.9616004722432.162939417666
0.186132.22771023917403.538532519016
0.196226.319874714368.215211699563
0.26310.44549020832329.222576674029
0.216384.45048574975289.808449361897
0.226448.82593625873253.004109380105
0.236504.61893726043221.316148500196
0.246553.29034500348196.619424323277
0.256596.55987313264180.163045718290
0.266636.26851636421172.607029212923
0.276674.27443077135174.096564463572
0.286712.38515258361184.401913223155
0.296752.31887873177203.087394574962
0.36795.68171345985229.623793566108
0.316843.94655568327263.411994093601
0.326898.42211226122303.599067313847
0.336960.20621398783349.039536295816
0.347030.1246413645398.098998809234
0.357108.6633837321448.745580045379
0.367195.90718150381498.587991770822
0.377291.49928108483545.031889442311
0.387394.63609268531585.551941291881
0.397504.10605295453617.958180166974
0.47618.3752275188640.640621235539
0.417735.71427644885652.820320250705
0.427854.35383096827654.669299875298
0.437972.64955970447647.306739086583
0.448089.23541337851632.749729364415
0.458203.14437391445613.665756802748
0.468313.8804642991593.068261658226
0.478421.4330674376573.974178918698
0.488526.23345123581559.01367350259
0.498629.06217926078550.054014059254
0.58730.92318980547548.018128467787
0.518832.9044893868552.7664555338
0.528936.04598411371563.300743539735
0.539041.23206241295578.019637103737
0.549149.12094178445595.162037351002
0.559260.11578254152613.002649090983
0.569374.37559380948630.162226939877
0.579491.85825914018645.700741657128
0.589612.3843685371659.088404845474
0.599735.70914880844670.316774919617
0.69861.59030692044679.647698385327
0.619989.84143021275687.669477552812
0.6210120.3631293828695.03148099253
0.6310253.1470328076702.355256782173
0.6410388.2510505781710.090065667797
0.6510525.7482343661718.321282847337
0.6610665.6561803275726.666766952313
0.6710807.8589438899734.248425553133
0.6810952.0379221227739.731444164579
0.6911097.6306369103741.526234414221
0.711243.8352077500738.135543084773
0.7111389.6724111421728.466867709018
0.7211534.1065872831712.213448516298
0.7311676.2128115458690.067883826373
0.7411815.3637360117663.867864548443
0.7511951.3993132041636.412608606487
0.7612084.7401963200611.176050975596
0.7712216.4137039885591.646623759834
0.7812347.980269509580.620419459089
0.7912481.3756866216579.514937659426
0.812618.7145438959588.077232540523
0.8112762.1248255055604.648798243775
0.8212913.6932375622627.061673261064
0.8313075.5861990285653.829840787213
0.8413250.3657954156685.257969920427
0.8513441.4416538874724.18783308411
0.8613653.4961796414775.820513965299
0.8713892.6143833968846.127958448653
0.8814165.7844895991938.546701070945
0.8914479.47945335111049.77608556902
0.914837.26433306891166.38519315649
0.9115236.86518854011264.27124559063
0.9215667.88031796231312.51676646258
0.9316112.19633330911282.76228442926
0.9416549.87885982641163.66619421447
0.9516972.9588100964977.969280969888
0.9617405.4329412977804.113985994777
0.9717914.2992351152808.143263529506
0.9818572.49952284261145.90860484590
0.9919335.83409799121721.65036263876



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')