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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Mar 2009 14:33:21 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/15/t1237149301riz6gsewqawcibw.htm/, Retrieved Thu, 06 Oct 2022 23:25:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39098, Retrieved Thu, 06 Oct 2022 23:25:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen insc...] [2009-03-15 20:33:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447




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=39098&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=39098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39098&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
0.019799.975019589771157.61212758272
0.0210433.95401677871017.98658951225
0.0311080.16317443411040.00035257370
0.0411696.43387184191231.79910731291
0.0512313.53186008021495.24382538724
0.0612956.97915859171725.80901670463
0.0713623.39012404591860.32295919591
0.0814288.56533429591879.80870584957
0.0914922.33572390541796.50115006146
0.115499.29839530581638.02851367263
0.1116003.61696727691435.70699186555
0.1216429.48466801071218.08293110017
0.1316779.32178571761008.11302935695
0.1417061.1930032185822.202758806587
0.1517286.2659039909670.081832744979
0.1617466.7026502406555.429783879003
0.1717614.1472792749477.020572650816
0.1817738.8317067837430.46403765981
0.1917849.2176633582410.047624073656
0.217952.0193507990410.475365896287
0.2118052.4278764487427.449453223540
0.2218154.3840548765457.410826294545
0.2318260.8027391193497.154275672644
0.2418373.7141313683543.388428412317
0.2518494.3356717932592.543862111424
0.2618623.1134246764641.167001198021
0.2718759.7756192427685.773888429293
0.2818903.4298523994723.622972137582
0.2919052.7172554235752.774689767841
0.319206.0180966423772.510500634645
0.3119361.6880611589783.349198706644
0.3219518.2950454147787.152712574027
0.3319674.823488042786.729312201009
0.3419830.816771631785.66002627278
0.3519986.4370768559787.741063871054
0.3620142.4346671907796.318244823628
0.3720300.0328689379813.82481697376
0.3820460.7486042198841.20272474286
0.3920626.1787848306877.966507987434
0.420797.7880533736922.257171669951
0.4120976.7319337602971.269462073113
0.4221163.74134573961021.88134577193
0.4321359.08107152901071.17787574793
0.4421562.57894900961116.87301379746
0.4521773.70794860211157.53872410394
0.4621991.69343423321192.50785168555
0.4722215.61528628141221.79604422226
0.4822444.47977944851245.56163622300
0.4922677.24763864961264.05031931305
0.522912.81928415821276.933334614
0.5123149.99186663291283.37788049252
0.5223387.41160603961282.22562313984
0.5323623.54692770021272.04298195726
0.5423856.70266957361251.63652392303
0.5524085.08490535501220.37951543184
0.5624306.91273224731178.50328624516
0.5724520.56119467871127.21749602334
0.5824724.71134841711068.63338027096
0.5924918.48112709511005.65280085110
0.625101.5144857982941.536988259448
0.6125274.0151879841879.672135807752
0.6225436.7234390228823.106114459495
0.6325590.845641538774.363385018664
0.6425737.9570661164735.070175943007
0.6525879.9017975578706.226375699934
0.6626018.712362777688.103680463053
0.6726156.5626536330680.800862166223
0.6826295.7534258137684.533267016582
0.6926438.7128899655699.712211169524
0.726587.9804378787727.026310227261
0.7126746.1349267889766.822177644234
0.7226915.6351122758818.45994110979
0.7327098.5611008304879.691135371944
0.7427296.2798597846946.086842210844
0.7527509.09705822231011.32132164954
0.7627735.98922031381067.76568965230
0.7727974.5201435221107.88570687446
0.7828221.02305294181125.59940286321
0.7928471.07324485061117.87926449409
0.828720.1955170471085.68101848957
0.8128964.66835268071034.21930976414
0.8229202.2299848638972.173441083815
0.8329432.4838683047910.045389813875
0.8429656.8539726877857.641352028143
0.8529878.0474366391821.126176245613
0.8630099.1204167717800.95104977953
0.8730322.3787292139791.32840439801
0.8830548.4449920893782.379156625622
0.8930775.8729064176763.612832631565
0.931001.7084455143727.549887437681

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9799.97501958977 & 1157.61212758272 \tabularnewline
0.02 & 10433.9540167787 & 1017.98658951225 \tabularnewline
0.03 & 11080.1631744341 & 1040.00035257370 \tabularnewline
0.04 & 11696.4338718419 & 1231.79910731291 \tabularnewline
0.05 & 12313.5318600802 & 1495.24382538724 \tabularnewline
0.06 & 12956.9791585917 & 1725.80901670463 \tabularnewline
0.07 & 13623.3901240459 & 1860.32295919591 \tabularnewline
0.08 & 14288.5653342959 & 1879.80870584957 \tabularnewline
0.09 & 14922.3357239054 & 1796.50115006146 \tabularnewline
0.1 & 15499.2983953058 & 1638.02851367263 \tabularnewline
0.11 & 16003.6169672769 & 1435.70699186555 \tabularnewline
0.12 & 16429.4846680107 & 1218.08293110017 \tabularnewline
0.13 & 16779.3217857176 & 1008.11302935695 \tabularnewline
0.14 & 17061.1930032185 & 822.202758806587 \tabularnewline
0.15 & 17286.2659039909 & 670.081832744979 \tabularnewline
0.16 & 17466.7026502406 & 555.429783879003 \tabularnewline
0.17 & 17614.1472792749 & 477.020572650816 \tabularnewline
0.18 & 17738.8317067837 & 430.46403765981 \tabularnewline
0.19 & 17849.2176633582 & 410.047624073656 \tabularnewline
0.2 & 17952.0193507990 & 410.475365896287 \tabularnewline
0.21 & 18052.4278764487 & 427.449453223540 \tabularnewline
0.22 & 18154.3840548765 & 457.410826294545 \tabularnewline
0.23 & 18260.8027391193 & 497.154275672644 \tabularnewline
0.24 & 18373.7141313683 & 543.388428412317 \tabularnewline
0.25 & 18494.3356717932 & 592.543862111424 \tabularnewline
0.26 & 18623.1134246764 & 641.167001198021 \tabularnewline
0.27 & 18759.7756192427 & 685.773888429293 \tabularnewline
0.28 & 18903.4298523994 & 723.622972137582 \tabularnewline
0.29 & 19052.7172554235 & 752.774689767841 \tabularnewline
0.3 & 19206.0180966423 & 772.510500634645 \tabularnewline
0.31 & 19361.6880611589 & 783.349198706644 \tabularnewline
0.32 & 19518.2950454147 & 787.152712574027 \tabularnewline
0.33 & 19674.823488042 & 786.729312201009 \tabularnewline
0.34 & 19830.816771631 & 785.66002627278 \tabularnewline
0.35 & 19986.4370768559 & 787.741063871054 \tabularnewline
0.36 & 20142.4346671907 & 796.318244823628 \tabularnewline
0.37 & 20300.0328689379 & 813.82481697376 \tabularnewline
0.38 & 20460.7486042198 & 841.20272474286 \tabularnewline
0.39 & 20626.1787848306 & 877.966507987434 \tabularnewline
0.4 & 20797.7880533736 & 922.257171669951 \tabularnewline
0.41 & 20976.7319337602 & 971.269462073113 \tabularnewline
0.42 & 21163.7413457396 & 1021.88134577193 \tabularnewline
0.43 & 21359.0810715290 & 1071.17787574793 \tabularnewline
0.44 & 21562.5789490096 & 1116.87301379746 \tabularnewline
0.45 & 21773.7079486021 & 1157.53872410394 \tabularnewline
0.46 & 21991.6934342332 & 1192.50785168555 \tabularnewline
0.47 & 22215.6152862814 & 1221.79604422226 \tabularnewline
0.48 & 22444.4797794485 & 1245.56163622300 \tabularnewline
0.49 & 22677.2476386496 & 1264.05031931305 \tabularnewline
0.5 & 22912.8192841582 & 1276.933334614 \tabularnewline
0.51 & 23149.9918666329 & 1283.37788049252 \tabularnewline
0.52 & 23387.4116060396 & 1282.22562313984 \tabularnewline
0.53 & 23623.5469277002 & 1272.04298195726 \tabularnewline
0.54 & 23856.7026695736 & 1251.63652392303 \tabularnewline
0.55 & 24085.0849053550 & 1220.37951543184 \tabularnewline
0.56 & 24306.9127322473 & 1178.50328624516 \tabularnewline
0.57 & 24520.5611946787 & 1127.21749602334 \tabularnewline
0.58 & 24724.7113484171 & 1068.63338027096 \tabularnewline
0.59 & 24918.4811270951 & 1005.65280085110 \tabularnewline
0.6 & 25101.5144857982 & 941.536988259448 \tabularnewline
0.61 & 25274.0151879841 & 879.672135807752 \tabularnewline
0.62 & 25436.7234390228 & 823.106114459495 \tabularnewline
0.63 & 25590.845641538 & 774.363385018664 \tabularnewline
0.64 & 25737.9570661164 & 735.070175943007 \tabularnewline
0.65 & 25879.9017975578 & 706.226375699934 \tabularnewline
0.66 & 26018.712362777 & 688.103680463053 \tabularnewline
0.67 & 26156.5626536330 & 680.800862166223 \tabularnewline
0.68 & 26295.7534258137 & 684.533267016582 \tabularnewline
0.69 & 26438.7128899655 & 699.712211169524 \tabularnewline
0.7 & 26587.9804378787 & 727.026310227261 \tabularnewline
0.71 & 26746.1349267889 & 766.822177644234 \tabularnewline
0.72 & 26915.6351122758 & 818.45994110979 \tabularnewline
0.73 & 27098.5611008304 & 879.691135371944 \tabularnewline
0.74 & 27296.2798597846 & 946.086842210844 \tabularnewline
0.75 & 27509.0970582223 & 1011.32132164954 \tabularnewline
0.76 & 27735.9892203138 & 1067.76568965230 \tabularnewline
0.77 & 27974.520143522 & 1107.88570687446 \tabularnewline
0.78 & 28221.0230529418 & 1125.59940286321 \tabularnewline
0.79 & 28471.0732448506 & 1117.87926449409 \tabularnewline
0.8 & 28720.195517047 & 1085.68101848957 \tabularnewline
0.81 & 28964.6683526807 & 1034.21930976414 \tabularnewline
0.82 & 29202.2299848638 & 972.173441083815 \tabularnewline
0.83 & 29432.4838683047 & 910.045389813875 \tabularnewline
0.84 & 29656.8539726877 & 857.641352028143 \tabularnewline
0.85 & 29878.0474366391 & 821.126176245613 \tabularnewline
0.86 & 30099.1204167717 & 800.95104977953 \tabularnewline
0.87 & 30322.3787292139 & 791.32840439801 \tabularnewline
0.88 & 30548.4449920893 & 782.379156625622 \tabularnewline
0.89 & 30775.8729064176 & 763.612832631565 \tabularnewline
0.9 & 31001.7084455143 & 727.549887437681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39098&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]9799.97501958977[/C][C]1157.61212758272[/C][/ROW]
[ROW][C]0.02[/C][C]10433.9540167787[/C][C]1017.98658951225[/C][/ROW]
[ROW][C]0.03[/C][C]11080.1631744341[/C][C]1040.00035257370[/C][/ROW]
[ROW][C]0.04[/C][C]11696.4338718419[/C][C]1231.79910731291[/C][/ROW]
[ROW][C]0.05[/C][C]12313.5318600802[/C][C]1495.24382538724[/C][/ROW]
[ROW][C]0.06[/C][C]12956.9791585917[/C][C]1725.80901670463[/C][/ROW]
[ROW][C]0.07[/C][C]13623.3901240459[/C][C]1860.32295919591[/C][/ROW]
[ROW][C]0.08[/C][C]14288.5653342959[/C][C]1879.80870584957[/C][/ROW]
[ROW][C]0.09[/C][C]14922.3357239054[/C][C]1796.50115006146[/C][/ROW]
[ROW][C]0.1[/C][C]15499.2983953058[/C][C]1638.02851367263[/C][/ROW]
[ROW][C]0.11[/C][C]16003.6169672769[/C][C]1435.70699186555[/C][/ROW]
[ROW][C]0.12[/C][C]16429.4846680107[/C][C]1218.08293110017[/C][/ROW]
[ROW][C]0.13[/C][C]16779.3217857176[/C][C]1008.11302935695[/C][/ROW]
[ROW][C]0.14[/C][C]17061.1930032185[/C][C]822.202758806587[/C][/ROW]
[ROW][C]0.15[/C][C]17286.2659039909[/C][C]670.081832744979[/C][/ROW]
[ROW][C]0.16[/C][C]17466.7026502406[/C][C]555.429783879003[/C][/ROW]
[ROW][C]0.17[/C][C]17614.1472792749[/C][C]477.020572650816[/C][/ROW]
[ROW][C]0.18[/C][C]17738.8317067837[/C][C]430.46403765981[/C][/ROW]
[ROW][C]0.19[/C][C]17849.2176633582[/C][C]410.047624073656[/C][/ROW]
[ROW][C]0.2[/C][C]17952.0193507990[/C][C]410.475365896287[/C][/ROW]
[ROW][C]0.21[/C][C]18052.4278764487[/C][C]427.449453223540[/C][/ROW]
[ROW][C]0.22[/C][C]18154.3840548765[/C][C]457.410826294545[/C][/ROW]
[ROW][C]0.23[/C][C]18260.8027391193[/C][C]497.154275672644[/C][/ROW]
[ROW][C]0.24[/C][C]18373.7141313683[/C][C]543.388428412317[/C][/ROW]
[ROW][C]0.25[/C][C]18494.3356717932[/C][C]592.543862111424[/C][/ROW]
[ROW][C]0.26[/C][C]18623.1134246764[/C][C]641.167001198021[/C][/ROW]
[ROW][C]0.27[/C][C]18759.7756192427[/C][C]685.773888429293[/C][/ROW]
[ROW][C]0.28[/C][C]18903.4298523994[/C][C]723.622972137582[/C][/ROW]
[ROW][C]0.29[/C][C]19052.7172554235[/C][C]752.774689767841[/C][/ROW]
[ROW][C]0.3[/C][C]19206.0180966423[/C][C]772.510500634645[/C][/ROW]
[ROW][C]0.31[/C][C]19361.6880611589[/C][C]783.349198706644[/C][/ROW]
[ROW][C]0.32[/C][C]19518.2950454147[/C][C]787.152712574027[/C][/ROW]
[ROW][C]0.33[/C][C]19674.823488042[/C][C]786.729312201009[/C][/ROW]
[ROW][C]0.34[/C][C]19830.816771631[/C][C]785.66002627278[/C][/ROW]
[ROW][C]0.35[/C][C]19986.4370768559[/C][C]787.741063871054[/C][/ROW]
[ROW][C]0.36[/C][C]20142.4346671907[/C][C]796.318244823628[/C][/ROW]
[ROW][C]0.37[/C][C]20300.0328689379[/C][C]813.82481697376[/C][/ROW]
[ROW][C]0.38[/C][C]20460.7486042198[/C][C]841.20272474286[/C][/ROW]
[ROW][C]0.39[/C][C]20626.1787848306[/C][C]877.966507987434[/C][/ROW]
[ROW][C]0.4[/C][C]20797.7880533736[/C][C]922.257171669951[/C][/ROW]
[ROW][C]0.41[/C][C]20976.7319337602[/C][C]971.269462073113[/C][/ROW]
[ROW][C]0.42[/C][C]21163.7413457396[/C][C]1021.88134577193[/C][/ROW]
[ROW][C]0.43[/C][C]21359.0810715290[/C][C]1071.17787574793[/C][/ROW]
[ROW][C]0.44[/C][C]21562.5789490096[/C][C]1116.87301379746[/C][/ROW]
[ROW][C]0.45[/C][C]21773.7079486021[/C][C]1157.53872410394[/C][/ROW]
[ROW][C]0.46[/C][C]21991.6934342332[/C][C]1192.50785168555[/C][/ROW]
[ROW][C]0.47[/C][C]22215.6152862814[/C][C]1221.79604422226[/C][/ROW]
[ROW][C]0.48[/C][C]22444.4797794485[/C][C]1245.56163622300[/C][/ROW]
[ROW][C]0.49[/C][C]22677.2476386496[/C][C]1264.05031931305[/C][/ROW]
[ROW][C]0.5[/C][C]22912.8192841582[/C][C]1276.933334614[/C][/ROW]
[ROW][C]0.51[/C][C]23149.9918666329[/C][C]1283.37788049252[/C][/ROW]
[ROW][C]0.52[/C][C]23387.4116060396[/C][C]1282.22562313984[/C][/ROW]
[ROW][C]0.53[/C][C]23623.5469277002[/C][C]1272.04298195726[/C][/ROW]
[ROW][C]0.54[/C][C]23856.7026695736[/C][C]1251.63652392303[/C][/ROW]
[ROW][C]0.55[/C][C]24085.0849053550[/C][C]1220.37951543184[/C][/ROW]
[ROW][C]0.56[/C][C]24306.9127322473[/C][C]1178.50328624516[/C][/ROW]
[ROW][C]0.57[/C][C]24520.5611946787[/C][C]1127.21749602334[/C][/ROW]
[ROW][C]0.58[/C][C]24724.7113484171[/C][C]1068.63338027096[/C][/ROW]
[ROW][C]0.59[/C][C]24918.4811270951[/C][C]1005.65280085110[/C][/ROW]
[ROW][C]0.6[/C][C]25101.5144857982[/C][C]941.536988259448[/C][/ROW]
[ROW][C]0.61[/C][C]25274.0151879841[/C][C]879.672135807752[/C][/ROW]
[ROW][C]0.62[/C][C]25436.7234390228[/C][C]823.106114459495[/C][/ROW]
[ROW][C]0.63[/C][C]25590.845641538[/C][C]774.363385018664[/C][/ROW]
[ROW][C]0.64[/C][C]25737.9570661164[/C][C]735.070175943007[/C][/ROW]
[ROW][C]0.65[/C][C]25879.9017975578[/C][C]706.226375699934[/C][/ROW]
[ROW][C]0.66[/C][C]26018.712362777[/C][C]688.103680463053[/C][/ROW]
[ROW][C]0.67[/C][C]26156.5626536330[/C][C]680.800862166223[/C][/ROW]
[ROW][C]0.68[/C][C]26295.7534258137[/C][C]684.533267016582[/C][/ROW]
[ROW][C]0.69[/C][C]26438.7128899655[/C][C]699.712211169524[/C][/ROW]
[ROW][C]0.7[/C][C]26587.9804378787[/C][C]727.026310227261[/C][/ROW]
[ROW][C]0.71[/C][C]26746.1349267889[/C][C]766.822177644234[/C][/ROW]
[ROW][C]0.72[/C][C]26915.6351122758[/C][C]818.45994110979[/C][/ROW]
[ROW][C]0.73[/C][C]27098.5611008304[/C][C]879.691135371944[/C][/ROW]
[ROW][C]0.74[/C][C]27296.2798597846[/C][C]946.086842210844[/C][/ROW]
[ROW][C]0.75[/C][C]27509.0970582223[/C][C]1011.32132164954[/C][/ROW]
[ROW][C]0.76[/C][C]27735.9892203138[/C][C]1067.76568965230[/C][/ROW]
[ROW][C]0.77[/C][C]27974.520143522[/C][C]1107.88570687446[/C][/ROW]
[ROW][C]0.78[/C][C]28221.0230529418[/C][C]1125.59940286321[/C][/ROW]
[ROW][C]0.79[/C][C]28471.0732448506[/C][C]1117.87926449409[/C][/ROW]
[ROW][C]0.8[/C][C]28720.195517047[/C][C]1085.68101848957[/C][/ROW]
[ROW][C]0.81[/C][C]28964.6683526807[/C][C]1034.21930976414[/C][/ROW]
[ROW][C]0.82[/C][C]29202.2299848638[/C][C]972.173441083815[/C][/ROW]
[ROW][C]0.83[/C][C]29432.4838683047[/C][C]910.045389813875[/C][/ROW]
[ROW][C]0.84[/C][C]29656.8539726877[/C][C]857.641352028143[/C][/ROW]
[ROW][C]0.85[/C][C]29878.0474366391[/C][C]821.126176245613[/C][/ROW]
[ROW][C]0.86[/C][C]30099.1204167717[/C][C]800.95104977953[/C][/ROW]
[ROW][C]0.87[/C][C]30322.3787292139[/C][C]791.32840439801[/C][/ROW]
[ROW][C]0.88[/C][C]30548.4449920893[/C][C]782.379156625622[/C][/ROW]
[ROW][C]0.89[/C][C]30775.8729064176[/C][C]763.612832631565[/C][/ROW]
[ROW][C]0.9[/C][C]31001.7084455143[/C][C]727.549887437681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39098&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39098&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
0.019799.975019589771157.61212758272
0.0210433.95401677871017.98658951225
0.0311080.16317443411040.00035257370
0.0411696.43387184191231.79910731291
0.0512313.53186008021495.24382538724
0.0612956.97915859171725.80901670463
0.0713623.39012404591860.32295919591
0.0814288.56533429591879.80870584957
0.0914922.33572390541796.50115006146
0.115499.29839530581638.02851367263
0.1116003.61696727691435.70699186555
0.1216429.48466801071218.08293110017
0.1316779.32178571761008.11302935695
0.1417061.1930032185822.202758806587
0.1517286.2659039909670.081832744979
0.1617466.7026502406555.429783879003
0.1717614.1472792749477.020572650816
0.1817738.8317067837430.46403765981
0.1917849.2176633582410.047624073656
0.217952.0193507990410.475365896287
0.2118052.4278764487427.449453223540
0.2218154.3840548765457.410826294545
0.2318260.8027391193497.154275672644
0.2418373.7141313683543.388428412317
0.2518494.3356717932592.543862111424
0.2618623.1134246764641.167001198021
0.2718759.7756192427685.773888429293
0.2818903.4298523994723.622972137582
0.2919052.7172554235752.774689767841
0.319206.0180966423772.510500634645
0.3119361.6880611589783.349198706644
0.3219518.2950454147787.152712574027
0.3319674.823488042786.729312201009
0.3419830.816771631785.66002627278
0.3519986.4370768559787.741063871054
0.3620142.4346671907796.318244823628
0.3720300.0328689379813.82481697376
0.3820460.7486042198841.20272474286
0.3920626.1787848306877.966507987434
0.420797.7880533736922.257171669951
0.4120976.7319337602971.269462073113
0.4221163.74134573961021.88134577193
0.4321359.08107152901071.17787574793
0.4421562.57894900961116.87301379746
0.4521773.70794860211157.53872410394
0.4621991.69343423321192.50785168555
0.4722215.61528628141221.79604422226
0.4822444.47977944851245.56163622300
0.4922677.24763864961264.05031931305
0.522912.81928415821276.933334614
0.5123149.99186663291283.37788049252
0.5223387.41160603961282.22562313984
0.5323623.54692770021272.04298195726
0.5423856.70266957361251.63652392303
0.5524085.08490535501220.37951543184
0.5624306.91273224731178.50328624516
0.5724520.56119467871127.21749602334
0.5824724.71134841711068.63338027096
0.5924918.48112709511005.65280085110
0.625101.5144857982941.536988259448
0.6125274.0151879841879.672135807752
0.6225436.7234390228823.106114459495
0.6325590.845641538774.363385018664
0.6425737.9570661164735.070175943007
0.6525879.9017975578706.226375699934
0.6626018.712362777688.103680463053
0.6726156.5626536330680.800862166223
0.6826295.7534258137684.533267016582
0.6926438.7128899655699.712211169524
0.726587.9804378787727.026310227261
0.7126746.1349267889766.822177644234
0.7226915.6351122758818.45994110979
0.7327098.5611008304879.691135371944
0.7427296.2798597846946.086842210844
0.7527509.09705822231011.32132164954
0.7627735.98922031381067.76568965230
0.7727974.5201435221107.88570687446
0.7828221.02305294181125.59940286321
0.7928471.07324485061117.87926449409
0.828720.1955170471085.68101848957
0.8128964.66835268071034.21930976414
0.8229202.2299848638972.173441083815
0.8329432.4838683047910.045389813875
0.8429656.8539726877857.641352028143
0.8529878.0474366391821.126176245613
0.8630099.1204167717800.95104977953
0.8730322.3787292139791.32840439801
0.8830548.4449920893782.379156625622
0.8930775.8729064176763.612832631565
0.931001.7084455143727.549887437681



Parameters (Session):
par1 = 0.01 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.9 ; 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')