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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 computationMon, 25 Feb 2013 13:53:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/25/t13618185329mojo8y0e4cuj58.htm/, Retrieved Fri, 03 May 2024 14:41:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206960, Retrieved Fri, 03 May 2024 14:41:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [Percentielen gesp...] [2013-02-25 18:53:03] [62245d2aecd9fec3f8945b8ab574a701] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
547084.00
639842.00
770730.00
911599.00
971249.00
925102.00
906046.00
1006991.00
1013942.00
991188.00
819356.00
793778.00
601962.00
685640.00
785923.00
954888.00
1029140.00
972811.00
951330.00
1012865.00
1005502.00
987489.00
828421.00
817308.00
625827.00
683491.00
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978027.00
1019467.00
980306.00
992574.00
1080411.00
1047988.00
1023560.00
871245.00
824793.00
645999.00
736888.00
874488.00
992614.00
1107708.00
955938.00
1024122.00
1081598.00
1028158.00
1006457.00
826725.00
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591481.00
671244.00
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912291.00
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873452.00
952046.00
1037521.00
958597.00
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814377.00
594739.00
668940.00
815882.00
928023.00
1025552.00
945840.00
1020639.00
1109899.00
1033403.00
1050530.00
840420.00
820378.00
609379.00
678402.00
889241.00
998445.00
1054502.00
1076699.00
1093802.00
1134793.00
1054084.00
1068675.00
857337.00
855380.00

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206960&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206960&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01561188.33468544532292.8592848224
0.02578640.16016396520038.6730662916
0.03592354.89960782314965.3042100108
0.04602575.62653646316250.5752417243
0.05611549.00195753619527.0925366327
0.06620597.31330435922613.7161155017
0.07630032.80720822524936.3685334146
0.08639747.68491656326635.7053337839
0.09649608.45695527828189.4935545053
0.1659604.45498548630151.7399903223
0.11669851.8009837632906.18705385
0.12680525.89934252936452.1532023845
0.13691769.65825027240369.7384128745
0.14703614.24120284743975.1244051857
0.15715939.20568619746566.2268822563
0.16728482.87355780247635.322441367
0.17740895.07970663146999.6309878826
0.18752810.60697539844806.5680312479
0.19763918.03156426441446.4332379471
0.2774005.26159459437422.9604785853
0.21782974.95468225333221.2364084053
0.22790834.15820845529221.6980137257
0.23797668.79817710225673.6893370792
0.24803614.21729382822707.6784719557
0.25808829.61559954120372.8399801011
0.26813479.70030899718680.1796546146
0.27817723.25961485817614.7792717158
0.28821706.63976030917143.2214676535
0.29825560.0087717617206.8673461228
0.3829395.05985897117721.6650002576
0.31833303.67308759118592.5046047271
0.32837357.56719070319721.948492806
0.33841609.0504398521022.1563166677
0.34846092.77417474722421.2025821862
0.35850828.12858463123858.2361132584
0.36855821.76844342925289.0486229348
0.37861069.78458077826671.5653600175
0.38866559.21894980427968.3516632207
0.39872268.87693198529141.3507661483
0.4878169.62948007730146.203243749
0.41884224.55209421330941.6441515971
0.42890389.28824932331486.035825954
0.43896612.96026978731745.3023217591
0.44902839.81449562431695.4499169375
0.45909011.6216970331326.7316293857
0.46915070.69357553530651.6395007211
0.47920963.24443980829693.2078682706
0.48926642.73531472428497.5829818029
0.49932072.79299443227125.5270161304
0.5937229.30716385825644.6331618643
0.51942101.38375524524127.5497765461
0.52946690.97527510122647.5605445439
0.53951011.20692126421260.761157612
0.54955083.63863501820011.4598263171
0.55958934.89901338918919.3511560562
0.56962593.24502275917981.1236103347
0.57966085.60382708617180.3964809425
0.58969435.53124483516487.5842615053
0.59972662.30186060815874.8891281222
0.6975781.08377095315315.5763326144
0.61978803.91397783914796.3335780389
0.62981741.03859205714315.4916983803
0.63984602.15038320713874.2042125681
0.64987397.14574038113480.7182866671
0.65990136.20171401113139.4299505556
0.66992829.18730510912849.4913535681
0.67995484.61243101512601.1712681054
0.68998108.43715272312377.8999473604
0.691000703.0933297412156.9746363747
0.71003267.0209927711916.5006555646
0.711005794.9235965811636.9369343861
0.721008278.8351696711307.1053919411
0.731010709.9894700310924.2476963204
0.741013081.3841300110499.3823563078
0.751015390.8201700210055.459074835
0.761017644.048546059631.9495931849
0.771019857.476935729278.50030928583
0.781022059.735858259054.04548863437
0.791024291.376595329013.73159057015
0.81026602.196918949194.38845896322
0.811029046.241454679600.20438627151
0.821031675.3422943910191.9184318261
0.831034532.8782099710899.9243965394
0.841037649.7590971911639.6550102147
0.851041043.9942756812338.5344421683
0.861044723.4747446612957.3257679774
0.871048689.5257309713489.581118175
0.881052938.0204300913937.9304250718
0.891057457.1251441814277.6211134069
0.91062225.9938832914442.7538936743
0.911067223.1020615614367.9268474235
0.921072449.3267274914087.0749635209
0.931077955.2677741813793.0518882602
0.941083845.9698748313725.0915261651
0.951090254.1934928313846.5212436209
0.961097353.6153794813712.7814282842
0.971105519.3492125713206.5414654294
0.981115356.4981426814142.8165213653
0.991126449.8058158318990.0036676505

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 561188.334685445 & 32292.8592848224 \tabularnewline
0.02 & 578640.160163965 & 20038.6730662916 \tabularnewline
0.03 & 592354.899607823 & 14965.3042100108 \tabularnewline
0.04 & 602575.626536463 & 16250.5752417243 \tabularnewline
0.05 & 611549.001957536 & 19527.0925366327 \tabularnewline
0.06 & 620597.313304359 & 22613.7161155017 \tabularnewline
0.07 & 630032.807208225 & 24936.3685334146 \tabularnewline
0.08 & 639747.684916563 & 26635.7053337839 \tabularnewline
0.09 & 649608.456955278 & 28189.4935545053 \tabularnewline
0.1 & 659604.454985486 & 30151.7399903223 \tabularnewline
0.11 & 669851.80098376 & 32906.18705385 \tabularnewline
0.12 & 680525.899342529 & 36452.1532023845 \tabularnewline
0.13 & 691769.658250272 & 40369.7384128745 \tabularnewline
0.14 & 703614.241202847 & 43975.1244051857 \tabularnewline
0.15 & 715939.205686197 & 46566.2268822563 \tabularnewline
0.16 & 728482.873557802 & 47635.322441367 \tabularnewline
0.17 & 740895.079706631 & 46999.6309878826 \tabularnewline
0.18 & 752810.606975398 & 44806.5680312479 \tabularnewline
0.19 & 763918.031564264 & 41446.4332379471 \tabularnewline
0.2 & 774005.261594594 & 37422.9604785853 \tabularnewline
0.21 & 782974.954682253 & 33221.2364084053 \tabularnewline
0.22 & 790834.158208455 & 29221.6980137257 \tabularnewline
0.23 & 797668.798177102 & 25673.6893370792 \tabularnewline
0.24 & 803614.217293828 & 22707.6784719557 \tabularnewline
0.25 & 808829.615599541 & 20372.8399801011 \tabularnewline
0.26 & 813479.700308997 & 18680.1796546146 \tabularnewline
0.27 & 817723.259614858 & 17614.7792717158 \tabularnewline
0.28 & 821706.639760309 & 17143.2214676535 \tabularnewline
0.29 & 825560.00877176 & 17206.8673461228 \tabularnewline
0.3 & 829395.059858971 & 17721.6650002576 \tabularnewline
0.31 & 833303.673087591 & 18592.5046047271 \tabularnewline
0.32 & 837357.567190703 & 19721.948492806 \tabularnewline
0.33 & 841609.05043985 & 21022.1563166677 \tabularnewline
0.34 & 846092.774174747 & 22421.2025821862 \tabularnewline
0.35 & 850828.128584631 & 23858.2361132584 \tabularnewline
0.36 & 855821.768443429 & 25289.0486229348 \tabularnewline
0.37 & 861069.784580778 & 26671.5653600175 \tabularnewline
0.38 & 866559.218949804 & 27968.3516632207 \tabularnewline
0.39 & 872268.876931985 & 29141.3507661483 \tabularnewline
0.4 & 878169.629480077 & 30146.203243749 \tabularnewline
0.41 & 884224.552094213 & 30941.6441515971 \tabularnewline
0.42 & 890389.288249323 & 31486.035825954 \tabularnewline
0.43 & 896612.960269787 & 31745.3023217591 \tabularnewline
0.44 & 902839.814495624 & 31695.4499169375 \tabularnewline
0.45 & 909011.62169703 & 31326.7316293857 \tabularnewline
0.46 & 915070.693575535 & 30651.6395007211 \tabularnewline
0.47 & 920963.244439808 & 29693.2078682706 \tabularnewline
0.48 & 926642.735314724 & 28497.5829818029 \tabularnewline
0.49 & 932072.792994432 & 27125.5270161304 \tabularnewline
0.5 & 937229.307163858 & 25644.6331618643 \tabularnewline
0.51 & 942101.383755245 & 24127.5497765461 \tabularnewline
0.52 & 946690.975275101 & 22647.5605445439 \tabularnewline
0.53 & 951011.206921264 & 21260.761157612 \tabularnewline
0.54 & 955083.638635018 & 20011.4598263171 \tabularnewline
0.55 & 958934.899013389 & 18919.3511560562 \tabularnewline
0.56 & 962593.245022759 & 17981.1236103347 \tabularnewline
0.57 & 966085.603827086 & 17180.3964809425 \tabularnewline
0.58 & 969435.531244835 & 16487.5842615053 \tabularnewline
0.59 & 972662.301860608 & 15874.8891281222 \tabularnewline
0.6 & 975781.083770953 & 15315.5763326144 \tabularnewline
0.61 & 978803.913977839 & 14796.3335780389 \tabularnewline
0.62 & 981741.038592057 & 14315.4916983803 \tabularnewline
0.63 & 984602.150383207 & 13874.2042125681 \tabularnewline
0.64 & 987397.145740381 & 13480.7182866671 \tabularnewline
0.65 & 990136.201714011 & 13139.4299505556 \tabularnewline
0.66 & 992829.187305109 & 12849.4913535681 \tabularnewline
0.67 & 995484.612431015 & 12601.1712681054 \tabularnewline
0.68 & 998108.437152723 & 12377.8999473604 \tabularnewline
0.69 & 1000703.09332974 & 12156.9746363747 \tabularnewline
0.7 & 1003267.02099277 & 11916.5006555646 \tabularnewline
0.71 & 1005794.92359658 & 11636.9369343861 \tabularnewline
0.72 & 1008278.83516967 & 11307.1053919411 \tabularnewline
0.73 & 1010709.98947003 & 10924.2476963204 \tabularnewline
0.74 & 1013081.38413001 & 10499.3823563078 \tabularnewline
0.75 & 1015390.82017002 & 10055.459074835 \tabularnewline
0.76 & 1017644.04854605 & 9631.9495931849 \tabularnewline
0.77 & 1019857.47693572 & 9278.50030928583 \tabularnewline
0.78 & 1022059.73585825 & 9054.04548863437 \tabularnewline
0.79 & 1024291.37659532 & 9013.73159057015 \tabularnewline
0.8 & 1026602.19691894 & 9194.38845896322 \tabularnewline
0.81 & 1029046.24145467 & 9600.20438627151 \tabularnewline
0.82 & 1031675.34229439 & 10191.9184318261 \tabularnewline
0.83 & 1034532.87820997 & 10899.9243965394 \tabularnewline
0.84 & 1037649.75909719 & 11639.6550102147 \tabularnewline
0.85 & 1041043.99427568 & 12338.5344421683 \tabularnewline
0.86 & 1044723.47474466 & 12957.3257679774 \tabularnewline
0.87 & 1048689.52573097 & 13489.581118175 \tabularnewline
0.88 & 1052938.02043009 & 13937.9304250718 \tabularnewline
0.89 & 1057457.12514418 & 14277.6211134069 \tabularnewline
0.9 & 1062225.99388329 & 14442.7538936743 \tabularnewline
0.91 & 1067223.10206156 & 14367.9268474235 \tabularnewline
0.92 & 1072449.32672749 & 14087.0749635209 \tabularnewline
0.93 & 1077955.26777418 & 13793.0518882602 \tabularnewline
0.94 & 1083845.96987483 & 13725.0915261651 \tabularnewline
0.95 & 1090254.19349283 & 13846.5212436209 \tabularnewline
0.96 & 1097353.61537948 & 13712.7814282842 \tabularnewline
0.97 & 1105519.34921257 & 13206.5414654294 \tabularnewline
0.98 & 1115356.49814268 & 14142.8165213653 \tabularnewline
0.99 & 1126449.80581583 & 18990.0036676505 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206960&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]561188.334685445[/C][C]32292.8592848224[/C][/ROW]
[ROW][C]0.02[/C][C]578640.160163965[/C][C]20038.6730662916[/C][/ROW]
[ROW][C]0.03[/C][C]592354.899607823[/C][C]14965.3042100108[/C][/ROW]
[ROW][C]0.04[/C][C]602575.626536463[/C][C]16250.5752417243[/C][/ROW]
[ROW][C]0.05[/C][C]611549.001957536[/C][C]19527.0925366327[/C][/ROW]
[ROW][C]0.06[/C][C]620597.313304359[/C][C]22613.7161155017[/C][/ROW]
[ROW][C]0.07[/C][C]630032.807208225[/C][C]24936.3685334146[/C][/ROW]
[ROW][C]0.08[/C][C]639747.684916563[/C][C]26635.7053337839[/C][/ROW]
[ROW][C]0.09[/C][C]649608.456955278[/C][C]28189.4935545053[/C][/ROW]
[ROW][C]0.1[/C][C]659604.454985486[/C][C]30151.7399903223[/C][/ROW]
[ROW][C]0.11[/C][C]669851.80098376[/C][C]32906.18705385[/C][/ROW]
[ROW][C]0.12[/C][C]680525.899342529[/C][C]36452.1532023845[/C][/ROW]
[ROW][C]0.13[/C][C]691769.658250272[/C][C]40369.7384128745[/C][/ROW]
[ROW][C]0.14[/C][C]703614.241202847[/C][C]43975.1244051857[/C][/ROW]
[ROW][C]0.15[/C][C]715939.205686197[/C][C]46566.2268822563[/C][/ROW]
[ROW][C]0.16[/C][C]728482.873557802[/C][C]47635.322441367[/C][/ROW]
[ROW][C]0.17[/C][C]740895.079706631[/C][C]46999.6309878826[/C][/ROW]
[ROW][C]0.18[/C][C]752810.606975398[/C][C]44806.5680312479[/C][/ROW]
[ROW][C]0.19[/C][C]763918.031564264[/C][C]41446.4332379471[/C][/ROW]
[ROW][C]0.2[/C][C]774005.261594594[/C][C]37422.9604785853[/C][/ROW]
[ROW][C]0.21[/C][C]782974.954682253[/C][C]33221.2364084053[/C][/ROW]
[ROW][C]0.22[/C][C]790834.158208455[/C][C]29221.6980137257[/C][/ROW]
[ROW][C]0.23[/C][C]797668.798177102[/C][C]25673.6893370792[/C][/ROW]
[ROW][C]0.24[/C][C]803614.217293828[/C][C]22707.6784719557[/C][/ROW]
[ROW][C]0.25[/C][C]808829.615599541[/C][C]20372.8399801011[/C][/ROW]
[ROW][C]0.26[/C][C]813479.700308997[/C][C]18680.1796546146[/C][/ROW]
[ROW][C]0.27[/C][C]817723.259614858[/C][C]17614.7792717158[/C][/ROW]
[ROW][C]0.28[/C][C]821706.639760309[/C][C]17143.2214676535[/C][/ROW]
[ROW][C]0.29[/C][C]825560.00877176[/C][C]17206.8673461228[/C][/ROW]
[ROW][C]0.3[/C][C]829395.059858971[/C][C]17721.6650002576[/C][/ROW]
[ROW][C]0.31[/C][C]833303.673087591[/C][C]18592.5046047271[/C][/ROW]
[ROW][C]0.32[/C][C]837357.567190703[/C][C]19721.948492806[/C][/ROW]
[ROW][C]0.33[/C][C]841609.05043985[/C][C]21022.1563166677[/C][/ROW]
[ROW][C]0.34[/C][C]846092.774174747[/C][C]22421.2025821862[/C][/ROW]
[ROW][C]0.35[/C][C]850828.128584631[/C][C]23858.2361132584[/C][/ROW]
[ROW][C]0.36[/C][C]855821.768443429[/C][C]25289.0486229348[/C][/ROW]
[ROW][C]0.37[/C][C]861069.784580778[/C][C]26671.5653600175[/C][/ROW]
[ROW][C]0.38[/C][C]866559.218949804[/C][C]27968.3516632207[/C][/ROW]
[ROW][C]0.39[/C][C]872268.876931985[/C][C]29141.3507661483[/C][/ROW]
[ROW][C]0.4[/C][C]878169.629480077[/C][C]30146.203243749[/C][/ROW]
[ROW][C]0.41[/C][C]884224.552094213[/C][C]30941.6441515971[/C][/ROW]
[ROW][C]0.42[/C][C]890389.288249323[/C][C]31486.035825954[/C][/ROW]
[ROW][C]0.43[/C][C]896612.960269787[/C][C]31745.3023217591[/C][/ROW]
[ROW][C]0.44[/C][C]902839.814495624[/C][C]31695.4499169375[/C][/ROW]
[ROW][C]0.45[/C][C]909011.62169703[/C][C]31326.7316293857[/C][/ROW]
[ROW][C]0.46[/C][C]915070.693575535[/C][C]30651.6395007211[/C][/ROW]
[ROW][C]0.47[/C][C]920963.244439808[/C][C]29693.2078682706[/C][/ROW]
[ROW][C]0.48[/C][C]926642.735314724[/C][C]28497.5829818029[/C][/ROW]
[ROW][C]0.49[/C][C]932072.792994432[/C][C]27125.5270161304[/C][/ROW]
[ROW][C]0.5[/C][C]937229.307163858[/C][C]25644.6331618643[/C][/ROW]
[ROW][C]0.51[/C][C]942101.383755245[/C][C]24127.5497765461[/C][/ROW]
[ROW][C]0.52[/C][C]946690.975275101[/C][C]22647.5605445439[/C][/ROW]
[ROW][C]0.53[/C][C]951011.206921264[/C][C]21260.761157612[/C][/ROW]
[ROW][C]0.54[/C][C]955083.638635018[/C][C]20011.4598263171[/C][/ROW]
[ROW][C]0.55[/C][C]958934.899013389[/C][C]18919.3511560562[/C][/ROW]
[ROW][C]0.56[/C][C]962593.245022759[/C][C]17981.1236103347[/C][/ROW]
[ROW][C]0.57[/C][C]966085.603827086[/C][C]17180.3964809425[/C][/ROW]
[ROW][C]0.58[/C][C]969435.531244835[/C][C]16487.5842615053[/C][/ROW]
[ROW][C]0.59[/C][C]972662.301860608[/C][C]15874.8891281222[/C][/ROW]
[ROW][C]0.6[/C][C]975781.083770953[/C][C]15315.5763326144[/C][/ROW]
[ROW][C]0.61[/C][C]978803.913977839[/C][C]14796.3335780389[/C][/ROW]
[ROW][C]0.62[/C][C]981741.038592057[/C][C]14315.4916983803[/C][/ROW]
[ROW][C]0.63[/C][C]984602.150383207[/C][C]13874.2042125681[/C][/ROW]
[ROW][C]0.64[/C][C]987397.145740381[/C][C]13480.7182866671[/C][/ROW]
[ROW][C]0.65[/C][C]990136.201714011[/C][C]13139.4299505556[/C][/ROW]
[ROW][C]0.66[/C][C]992829.187305109[/C][C]12849.4913535681[/C][/ROW]
[ROW][C]0.67[/C][C]995484.612431015[/C][C]12601.1712681054[/C][/ROW]
[ROW][C]0.68[/C][C]998108.437152723[/C][C]12377.8999473604[/C][/ROW]
[ROW][C]0.69[/C][C]1000703.09332974[/C][C]12156.9746363747[/C][/ROW]
[ROW][C]0.7[/C][C]1003267.02099277[/C][C]11916.5006555646[/C][/ROW]
[ROW][C]0.71[/C][C]1005794.92359658[/C][C]11636.9369343861[/C][/ROW]
[ROW][C]0.72[/C][C]1008278.83516967[/C][C]11307.1053919411[/C][/ROW]
[ROW][C]0.73[/C][C]1010709.98947003[/C][C]10924.2476963204[/C][/ROW]
[ROW][C]0.74[/C][C]1013081.38413001[/C][C]10499.3823563078[/C][/ROW]
[ROW][C]0.75[/C][C]1015390.82017002[/C][C]10055.459074835[/C][/ROW]
[ROW][C]0.76[/C][C]1017644.04854605[/C][C]9631.9495931849[/C][/ROW]
[ROW][C]0.77[/C][C]1019857.47693572[/C][C]9278.50030928583[/C][/ROW]
[ROW][C]0.78[/C][C]1022059.73585825[/C][C]9054.04548863437[/C][/ROW]
[ROW][C]0.79[/C][C]1024291.37659532[/C][C]9013.73159057015[/C][/ROW]
[ROW][C]0.8[/C][C]1026602.19691894[/C][C]9194.38845896322[/C][/ROW]
[ROW][C]0.81[/C][C]1029046.24145467[/C][C]9600.20438627151[/C][/ROW]
[ROW][C]0.82[/C][C]1031675.34229439[/C][C]10191.9184318261[/C][/ROW]
[ROW][C]0.83[/C][C]1034532.87820997[/C][C]10899.9243965394[/C][/ROW]
[ROW][C]0.84[/C][C]1037649.75909719[/C][C]11639.6550102147[/C][/ROW]
[ROW][C]0.85[/C][C]1041043.99427568[/C][C]12338.5344421683[/C][/ROW]
[ROW][C]0.86[/C][C]1044723.47474466[/C][C]12957.3257679774[/C][/ROW]
[ROW][C]0.87[/C][C]1048689.52573097[/C][C]13489.581118175[/C][/ROW]
[ROW][C]0.88[/C][C]1052938.02043009[/C][C]13937.9304250718[/C][/ROW]
[ROW][C]0.89[/C][C]1057457.12514418[/C][C]14277.6211134069[/C][/ROW]
[ROW][C]0.9[/C][C]1062225.99388329[/C][C]14442.7538936743[/C][/ROW]
[ROW][C]0.91[/C][C]1067223.10206156[/C][C]14367.9268474235[/C][/ROW]
[ROW][C]0.92[/C][C]1072449.32672749[/C][C]14087.0749635209[/C][/ROW]
[ROW][C]0.93[/C][C]1077955.26777418[/C][C]13793.0518882602[/C][/ROW]
[ROW][C]0.94[/C][C]1083845.96987483[/C][C]13725.0915261651[/C][/ROW]
[ROW][C]0.95[/C][C]1090254.19349283[/C][C]13846.5212436209[/C][/ROW]
[ROW][C]0.96[/C][C]1097353.61537948[/C][C]13712.7814282842[/C][/ROW]
[ROW][C]0.97[/C][C]1105519.34921257[/C][C]13206.5414654294[/C][/ROW]
[ROW][C]0.98[/C][C]1115356.49814268[/C][C]14142.8165213653[/C][/ROW]
[ROW][C]0.99[/C][C]1126449.80581583[/C][C]18990.0036676505[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206960&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
0.01561188.33468544532292.8592848224
0.02578640.16016396520038.6730662916
0.03592354.89960782314965.3042100108
0.04602575.62653646316250.5752417243
0.05611549.00195753619527.0925366327
0.06620597.31330435922613.7161155017
0.07630032.80720822524936.3685334146
0.08639747.68491656326635.7053337839
0.09649608.45695527828189.4935545053
0.1659604.45498548630151.7399903223
0.11669851.8009837632906.18705385
0.12680525.89934252936452.1532023845
0.13691769.65825027240369.7384128745
0.14703614.24120284743975.1244051857
0.15715939.20568619746566.2268822563
0.16728482.87355780247635.322441367
0.17740895.07970663146999.6309878826
0.18752810.60697539844806.5680312479
0.19763918.03156426441446.4332379471
0.2774005.26159459437422.9604785853
0.21782974.95468225333221.2364084053
0.22790834.15820845529221.6980137257
0.23797668.79817710225673.6893370792
0.24803614.21729382822707.6784719557
0.25808829.61559954120372.8399801011
0.26813479.70030899718680.1796546146
0.27817723.25961485817614.7792717158
0.28821706.63976030917143.2214676535
0.29825560.0087717617206.8673461228
0.3829395.05985897117721.6650002576
0.31833303.67308759118592.5046047271
0.32837357.56719070319721.948492806
0.33841609.0504398521022.1563166677
0.34846092.77417474722421.2025821862
0.35850828.12858463123858.2361132584
0.36855821.76844342925289.0486229348
0.37861069.78458077826671.5653600175
0.38866559.21894980427968.3516632207
0.39872268.87693198529141.3507661483
0.4878169.62948007730146.203243749
0.41884224.55209421330941.6441515971
0.42890389.28824932331486.035825954
0.43896612.96026978731745.3023217591
0.44902839.81449562431695.4499169375
0.45909011.6216970331326.7316293857
0.46915070.69357553530651.6395007211
0.47920963.24443980829693.2078682706
0.48926642.73531472428497.5829818029
0.49932072.79299443227125.5270161304
0.5937229.30716385825644.6331618643
0.51942101.38375524524127.5497765461
0.52946690.97527510122647.5605445439
0.53951011.20692126421260.761157612
0.54955083.63863501820011.4598263171
0.55958934.89901338918919.3511560562
0.56962593.24502275917981.1236103347
0.57966085.60382708617180.3964809425
0.58969435.53124483516487.5842615053
0.59972662.30186060815874.8891281222
0.6975781.08377095315315.5763326144
0.61978803.91397783914796.3335780389
0.62981741.03859205714315.4916983803
0.63984602.15038320713874.2042125681
0.64987397.14574038113480.7182866671
0.65990136.20171401113139.4299505556
0.66992829.18730510912849.4913535681
0.67995484.61243101512601.1712681054
0.68998108.43715272312377.8999473604
0.691000703.0933297412156.9746363747
0.71003267.0209927711916.5006555646
0.711005794.9235965811636.9369343861
0.721008278.8351696711307.1053919411
0.731010709.9894700310924.2476963204
0.741013081.3841300110499.3823563078
0.751015390.8201700210055.459074835
0.761017644.048546059631.9495931849
0.771019857.476935729278.50030928583
0.781022059.735858259054.04548863437
0.791024291.376595329013.73159057015
0.81026602.196918949194.38845896322
0.811029046.241454679600.20438627151
0.821031675.3422943910191.9184318261
0.831034532.8782099710899.9243965394
0.841037649.7590971911639.6550102147
0.851041043.9942756812338.5344421683
0.861044723.4747446612957.3257679774
0.871048689.5257309713489.581118175
0.881052938.0204300913937.9304250718
0.891057457.1251441814277.6211134069
0.91062225.9938832914442.7538936743
0.911067223.1020615614367.9268474235
0.921072449.3267274914087.0749635209
0.931077955.2677741813793.0518882602
0.941083845.9698748313725.0915261651
0.951090254.1934928313846.5212436209
0.961097353.6153794813712.7814282842
0.971105519.3492125713206.5414654294
0.981115356.4981426814142.8165213653
0.991126449.8058158318990.0036676505


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')