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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 computationTue, 01 Mar 2016 15:05:14 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/01/t1456844754cgfe6zhccdje0ng.htm/, Retrieved Sat, 18 May 2024 08:55:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293149, Retrieved Sat, 18 May 2024 08:55:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

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-Fail...] [2016-03-01 15:05:14] [45930f35caeb32be6f319da4f3b0c690] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
726
784
884
696
893
674
703
799
793
799
1022
758
1021
944
915
864
1022
891
1087
822
890
1092
967
833
1104
1063
1103
1039
1185
1047
1155
878
879
1133
920
943
938
900
781
1040
792
653
866
679
799
760
699
762
671
679
862
624
516
650
583
444
562
540
524
674

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=293149&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=293149&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293149&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
0.01459.2387185762559.1220032060386
0.02480.48317041760544.4888515365025
0.03501.2891373335633.6324908690664
0.04518.97706022545429.6530895870658
0.05533.86407108496431.1876661754954
0.06547.25164823329835.090854883536
0.07560.18686259638539.1896241149799
0.08573.13424980484642.350530228284
0.09586.09592271980344.0283079079353
0.1598.82728825114744.0564088705039
0.11611.00919548690742.5542745245138
0.12622.35479761942439.8446552083993
0.13632.66486302817736.366610955107
0.14641.84755422682432.5859725566936
0.15649.91471953873928.92959896626
0.16656.96393006692625.7434094778674
0.17663.15372450113923.2793370536996
0.18668.67775850354821.6887417902521
0.19673.74156872136921.0247424453887
0.2678.54378590965121.2420083886778
0.21683.26222732144422.2142383720494
0.22688.04449642415823.7633102831627
0.23693.0024258448225.6927864961055
0.24698.20971890263627.8049370606642
0.25703.70228220302529.9150803526856
0.26709.48086451633731.8549082025675
0.27715.51566491221833.4854963089425
0.28721.75254078822534.6987732004078
0.29728.12036238576635.4282827728516
0.3734.53896692242535.6505843431615
0.31740.92710363937535.3853142929435
0.32747.2097596031634.6904927467753
0.33753.32432496597333.6565098979093
0.34759.22518596354432.3955917547013
0.35764.88650008136531.0327408837613
0.36770.30308097769829.6965781238419
0.37775.48947562210528.5063054823696
0.38780.47743842824527.5657317376168
0.39785.31209527270926.9556331831511
0.4790.04715157623126.7196987717893
0.41794.73954286462126.8657127592767
0.42799.4439590328827.3563677035935
0.43804.2076925781728.1199389904082
0.44809.06625653312729.0560218316245
0.45814.04017671565830.0473229882383
0.46819.13327530519530.9741701396293
0.47824.33262763449231.7274133534323
0.48829.61020239706332.2150695285446
0.49834.92600933429932.3745351312462
0.5840.232406684932.1734784263903
0.51845.4790919437231.6152976235931
0.52850.61823537238730.735842470421
0.53855.60922559228229.5966807687626
0.54860.42257579037828.2842676364475
0.55865.042670669526.8970883221898
0.56869.46919380504525.5385045253065
0.57873.71723642391824.3091713360086
0.58877.81622940454923.3010169067526
0.59881.80794513527822.5880960454523
0.6885.74387707759522.2244353218666
0.61889.68232093730922.2373461359464
0.62893.68545443638222.6342391557047
0.63897.8166469021423.3984686460592
0.64902.13813133145624.5006193695598
0.65906.70905043586425.9028736301432
0.66911.58376181650927.5627048483447
0.67916.81018231147129.4362419415566
0.68922.42790137680531.475248674808
0.69928.46583176846233.6201850633511
0.7934.93931418547135.7994752240145
0.71941.84684585917437.9158003665349
0.72949.16691912017339.8552975223662
0.73956.85575441863141.4860062791904
0.74964.84688790222942.6723425893821
0.75973.05352381911143.2934330871836
0.76981.37422239430843.2657422677972
0.77989.70187154165542.5636136988751
0.78997.93508209287941.2324280694128
0.791005.9903295446239.392534396928
0.81013.8125675650137.2309673658256
0.811021.3818821383434.9761823196689
0.821028.7141992240632.8594830747658
0.831035.8551472039631.0721120138716
0.841042.8678023228529.7129498585631
0.851049.8169388426328.7594695578752
0.861056.7541300804328.0756331630219
0.871063.7090287378627.4591216017947
0.881070.6917547386626.7161761087245
0.891077.7089875867925.7441427088699
0.91084.7919517653724.5962728683148
0.911092.0287483629423.506125251748
0.921099.5885740277622.8446359736909
0.931107.7246077169722.9520099961583
0.941116.7477470118723.8744607195656
0.951126.9696165781825.2232917972629
0.961138.6023838405726.3640162099902
0.971151.5586514771626.9121062419297
0.981165.0659661102927.2381893362045
0.991177.1943816502528.1766123215201

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 459.23871857625 & 59.1220032060386 \tabularnewline
0.02 & 480.483170417605 & 44.4888515365025 \tabularnewline
0.03 & 501.28913733356 & 33.6324908690664 \tabularnewline
0.04 & 518.977060225454 & 29.6530895870658 \tabularnewline
0.05 & 533.864071084964 & 31.1876661754954 \tabularnewline
0.06 & 547.251648233298 & 35.090854883536 \tabularnewline
0.07 & 560.186862596385 & 39.1896241149799 \tabularnewline
0.08 & 573.134249804846 & 42.350530228284 \tabularnewline
0.09 & 586.095922719803 & 44.0283079079353 \tabularnewline
0.1 & 598.827288251147 & 44.0564088705039 \tabularnewline
0.11 & 611.009195486907 & 42.5542745245138 \tabularnewline
0.12 & 622.354797619424 & 39.8446552083993 \tabularnewline
0.13 & 632.664863028177 & 36.366610955107 \tabularnewline
0.14 & 641.847554226824 & 32.5859725566936 \tabularnewline
0.15 & 649.914719538739 & 28.92959896626 \tabularnewline
0.16 & 656.963930066926 & 25.7434094778674 \tabularnewline
0.17 & 663.153724501139 & 23.2793370536996 \tabularnewline
0.18 & 668.677758503548 & 21.6887417902521 \tabularnewline
0.19 & 673.741568721369 & 21.0247424453887 \tabularnewline
0.2 & 678.543785909651 & 21.2420083886778 \tabularnewline
0.21 & 683.262227321444 & 22.2142383720494 \tabularnewline
0.22 & 688.044496424158 & 23.7633102831627 \tabularnewline
0.23 & 693.00242584482 & 25.6927864961055 \tabularnewline
0.24 & 698.209718902636 & 27.8049370606642 \tabularnewline
0.25 & 703.702282203025 & 29.9150803526856 \tabularnewline
0.26 & 709.480864516337 & 31.8549082025675 \tabularnewline
0.27 & 715.515664912218 & 33.4854963089425 \tabularnewline
0.28 & 721.752540788225 & 34.6987732004078 \tabularnewline
0.29 & 728.120362385766 & 35.4282827728516 \tabularnewline
0.3 & 734.538966922425 & 35.6505843431615 \tabularnewline
0.31 & 740.927103639375 & 35.3853142929435 \tabularnewline
0.32 & 747.20975960316 & 34.6904927467753 \tabularnewline
0.33 & 753.324324965973 & 33.6565098979093 \tabularnewline
0.34 & 759.225185963544 & 32.3955917547013 \tabularnewline
0.35 & 764.886500081365 & 31.0327408837613 \tabularnewline
0.36 & 770.303080977698 & 29.6965781238419 \tabularnewline
0.37 & 775.489475622105 & 28.5063054823696 \tabularnewline
0.38 & 780.477438428245 & 27.5657317376168 \tabularnewline
0.39 & 785.312095272709 & 26.9556331831511 \tabularnewline
0.4 & 790.047151576231 & 26.7196987717893 \tabularnewline
0.41 & 794.739542864621 & 26.8657127592767 \tabularnewline
0.42 & 799.44395903288 & 27.3563677035935 \tabularnewline
0.43 & 804.20769257817 & 28.1199389904082 \tabularnewline
0.44 & 809.066256533127 & 29.0560218316245 \tabularnewline
0.45 & 814.040176715658 & 30.0473229882383 \tabularnewline
0.46 & 819.133275305195 & 30.9741701396293 \tabularnewline
0.47 & 824.332627634492 & 31.7274133534323 \tabularnewline
0.48 & 829.610202397063 & 32.2150695285446 \tabularnewline
0.49 & 834.926009334299 & 32.3745351312462 \tabularnewline
0.5 & 840.2324066849 & 32.1734784263903 \tabularnewline
0.51 & 845.47909194372 & 31.6152976235931 \tabularnewline
0.52 & 850.618235372387 & 30.735842470421 \tabularnewline
0.53 & 855.609225592282 & 29.5966807687626 \tabularnewline
0.54 & 860.422575790378 & 28.2842676364475 \tabularnewline
0.55 & 865.0426706695 & 26.8970883221898 \tabularnewline
0.56 & 869.469193805045 & 25.5385045253065 \tabularnewline
0.57 & 873.717236423918 & 24.3091713360086 \tabularnewline
0.58 & 877.816229404549 & 23.3010169067526 \tabularnewline
0.59 & 881.807945135278 & 22.5880960454523 \tabularnewline
0.6 & 885.743877077595 & 22.2244353218666 \tabularnewline
0.61 & 889.682320937309 & 22.2373461359464 \tabularnewline
0.62 & 893.685454436382 & 22.6342391557047 \tabularnewline
0.63 & 897.81664690214 & 23.3984686460592 \tabularnewline
0.64 & 902.138131331456 & 24.5006193695598 \tabularnewline
0.65 & 906.709050435864 & 25.9028736301432 \tabularnewline
0.66 & 911.583761816509 & 27.5627048483447 \tabularnewline
0.67 & 916.810182311471 & 29.4362419415566 \tabularnewline
0.68 & 922.427901376805 & 31.475248674808 \tabularnewline
0.69 & 928.465831768462 & 33.6201850633511 \tabularnewline
0.7 & 934.939314185471 & 35.7994752240145 \tabularnewline
0.71 & 941.846845859174 & 37.9158003665349 \tabularnewline
0.72 & 949.166919120173 & 39.8552975223662 \tabularnewline
0.73 & 956.855754418631 & 41.4860062791904 \tabularnewline
0.74 & 964.846887902229 & 42.6723425893821 \tabularnewline
0.75 & 973.053523819111 & 43.2934330871836 \tabularnewline
0.76 & 981.374222394308 & 43.2657422677972 \tabularnewline
0.77 & 989.701871541655 & 42.5636136988751 \tabularnewline
0.78 & 997.935082092879 & 41.2324280694128 \tabularnewline
0.79 & 1005.99032954462 & 39.392534396928 \tabularnewline
0.8 & 1013.81256756501 & 37.2309673658256 \tabularnewline
0.81 & 1021.38188213834 & 34.9761823196689 \tabularnewline
0.82 & 1028.71419922406 & 32.8594830747658 \tabularnewline
0.83 & 1035.85514720396 & 31.0721120138716 \tabularnewline
0.84 & 1042.86780232285 & 29.7129498585631 \tabularnewline
0.85 & 1049.81693884263 & 28.7594695578752 \tabularnewline
0.86 & 1056.75413008043 & 28.0756331630219 \tabularnewline
0.87 & 1063.70902873786 & 27.4591216017947 \tabularnewline
0.88 & 1070.69175473866 & 26.7161761087245 \tabularnewline
0.89 & 1077.70898758679 & 25.7441427088699 \tabularnewline
0.9 & 1084.79195176537 & 24.5962728683148 \tabularnewline
0.91 & 1092.02874836294 & 23.506125251748 \tabularnewline
0.92 & 1099.58857402776 & 22.8446359736909 \tabularnewline
0.93 & 1107.72460771697 & 22.9520099961583 \tabularnewline
0.94 & 1116.74774701187 & 23.8744607195656 \tabularnewline
0.95 & 1126.96961657818 & 25.2232917972629 \tabularnewline
0.96 & 1138.60238384057 & 26.3640162099902 \tabularnewline
0.97 & 1151.55865147716 & 26.9121062419297 \tabularnewline
0.98 & 1165.06596611029 & 27.2381893362045 \tabularnewline
0.99 & 1177.19438165025 & 28.1766123215201 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293149&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]459.23871857625[/C][C]59.1220032060386[/C][/ROW]
[ROW][C]0.02[/C][C]480.483170417605[/C][C]44.4888515365025[/C][/ROW]
[ROW][C]0.03[/C][C]501.28913733356[/C][C]33.6324908690664[/C][/ROW]
[ROW][C]0.04[/C][C]518.977060225454[/C][C]29.6530895870658[/C][/ROW]
[ROW][C]0.05[/C][C]533.864071084964[/C][C]31.1876661754954[/C][/ROW]
[ROW][C]0.06[/C][C]547.251648233298[/C][C]35.090854883536[/C][/ROW]
[ROW][C]0.07[/C][C]560.186862596385[/C][C]39.1896241149799[/C][/ROW]
[ROW][C]0.08[/C][C]573.134249804846[/C][C]42.350530228284[/C][/ROW]
[ROW][C]0.09[/C][C]586.095922719803[/C][C]44.0283079079353[/C][/ROW]
[ROW][C]0.1[/C][C]598.827288251147[/C][C]44.0564088705039[/C][/ROW]
[ROW][C]0.11[/C][C]611.009195486907[/C][C]42.5542745245138[/C][/ROW]
[ROW][C]0.12[/C][C]622.354797619424[/C][C]39.8446552083993[/C][/ROW]
[ROW][C]0.13[/C][C]632.664863028177[/C][C]36.366610955107[/C][/ROW]
[ROW][C]0.14[/C][C]641.847554226824[/C][C]32.5859725566936[/C][/ROW]
[ROW][C]0.15[/C][C]649.914719538739[/C][C]28.92959896626[/C][/ROW]
[ROW][C]0.16[/C][C]656.963930066926[/C][C]25.7434094778674[/C][/ROW]
[ROW][C]0.17[/C][C]663.153724501139[/C][C]23.2793370536996[/C][/ROW]
[ROW][C]0.18[/C][C]668.677758503548[/C][C]21.6887417902521[/C][/ROW]
[ROW][C]0.19[/C][C]673.741568721369[/C][C]21.0247424453887[/C][/ROW]
[ROW][C]0.2[/C][C]678.543785909651[/C][C]21.2420083886778[/C][/ROW]
[ROW][C]0.21[/C][C]683.262227321444[/C][C]22.2142383720494[/C][/ROW]
[ROW][C]0.22[/C][C]688.044496424158[/C][C]23.7633102831627[/C][/ROW]
[ROW][C]0.23[/C][C]693.00242584482[/C][C]25.6927864961055[/C][/ROW]
[ROW][C]0.24[/C][C]698.209718902636[/C][C]27.8049370606642[/C][/ROW]
[ROW][C]0.25[/C][C]703.702282203025[/C][C]29.9150803526856[/C][/ROW]
[ROW][C]0.26[/C][C]709.480864516337[/C][C]31.8549082025675[/C][/ROW]
[ROW][C]0.27[/C][C]715.515664912218[/C][C]33.4854963089425[/C][/ROW]
[ROW][C]0.28[/C][C]721.752540788225[/C][C]34.6987732004078[/C][/ROW]
[ROW][C]0.29[/C][C]728.120362385766[/C][C]35.4282827728516[/C][/ROW]
[ROW][C]0.3[/C][C]734.538966922425[/C][C]35.6505843431615[/C][/ROW]
[ROW][C]0.31[/C][C]740.927103639375[/C][C]35.3853142929435[/C][/ROW]
[ROW][C]0.32[/C][C]747.20975960316[/C][C]34.6904927467753[/C][/ROW]
[ROW][C]0.33[/C][C]753.324324965973[/C][C]33.6565098979093[/C][/ROW]
[ROW][C]0.34[/C][C]759.225185963544[/C][C]32.3955917547013[/C][/ROW]
[ROW][C]0.35[/C][C]764.886500081365[/C][C]31.0327408837613[/C][/ROW]
[ROW][C]0.36[/C][C]770.303080977698[/C][C]29.6965781238419[/C][/ROW]
[ROW][C]0.37[/C][C]775.489475622105[/C][C]28.5063054823696[/C][/ROW]
[ROW][C]0.38[/C][C]780.477438428245[/C][C]27.5657317376168[/C][/ROW]
[ROW][C]0.39[/C][C]785.312095272709[/C][C]26.9556331831511[/C][/ROW]
[ROW][C]0.4[/C][C]790.047151576231[/C][C]26.7196987717893[/C][/ROW]
[ROW][C]0.41[/C][C]794.739542864621[/C][C]26.8657127592767[/C][/ROW]
[ROW][C]0.42[/C][C]799.44395903288[/C][C]27.3563677035935[/C][/ROW]
[ROW][C]0.43[/C][C]804.20769257817[/C][C]28.1199389904082[/C][/ROW]
[ROW][C]0.44[/C][C]809.066256533127[/C][C]29.0560218316245[/C][/ROW]
[ROW][C]0.45[/C][C]814.040176715658[/C][C]30.0473229882383[/C][/ROW]
[ROW][C]0.46[/C][C]819.133275305195[/C][C]30.9741701396293[/C][/ROW]
[ROW][C]0.47[/C][C]824.332627634492[/C][C]31.7274133534323[/C][/ROW]
[ROW][C]0.48[/C][C]829.610202397063[/C][C]32.2150695285446[/C][/ROW]
[ROW][C]0.49[/C][C]834.926009334299[/C][C]32.3745351312462[/C][/ROW]
[ROW][C]0.5[/C][C]840.2324066849[/C][C]32.1734784263903[/C][/ROW]
[ROW][C]0.51[/C][C]845.47909194372[/C][C]31.6152976235931[/C][/ROW]
[ROW][C]0.52[/C][C]850.618235372387[/C][C]30.735842470421[/C][/ROW]
[ROW][C]0.53[/C][C]855.609225592282[/C][C]29.5966807687626[/C][/ROW]
[ROW][C]0.54[/C][C]860.422575790378[/C][C]28.2842676364475[/C][/ROW]
[ROW][C]0.55[/C][C]865.0426706695[/C][C]26.8970883221898[/C][/ROW]
[ROW][C]0.56[/C][C]869.469193805045[/C][C]25.5385045253065[/C][/ROW]
[ROW][C]0.57[/C][C]873.717236423918[/C][C]24.3091713360086[/C][/ROW]
[ROW][C]0.58[/C][C]877.816229404549[/C][C]23.3010169067526[/C][/ROW]
[ROW][C]0.59[/C][C]881.807945135278[/C][C]22.5880960454523[/C][/ROW]
[ROW][C]0.6[/C][C]885.743877077595[/C][C]22.2244353218666[/C][/ROW]
[ROW][C]0.61[/C][C]889.682320937309[/C][C]22.2373461359464[/C][/ROW]
[ROW][C]0.62[/C][C]893.685454436382[/C][C]22.6342391557047[/C][/ROW]
[ROW][C]0.63[/C][C]897.81664690214[/C][C]23.3984686460592[/C][/ROW]
[ROW][C]0.64[/C][C]902.138131331456[/C][C]24.5006193695598[/C][/ROW]
[ROW][C]0.65[/C][C]906.709050435864[/C][C]25.9028736301432[/C][/ROW]
[ROW][C]0.66[/C][C]911.583761816509[/C][C]27.5627048483447[/C][/ROW]
[ROW][C]0.67[/C][C]916.810182311471[/C][C]29.4362419415566[/C][/ROW]
[ROW][C]0.68[/C][C]922.427901376805[/C][C]31.475248674808[/C][/ROW]
[ROW][C]0.69[/C][C]928.465831768462[/C][C]33.6201850633511[/C][/ROW]
[ROW][C]0.7[/C][C]934.939314185471[/C][C]35.7994752240145[/C][/ROW]
[ROW][C]0.71[/C][C]941.846845859174[/C][C]37.9158003665349[/C][/ROW]
[ROW][C]0.72[/C][C]949.166919120173[/C][C]39.8552975223662[/C][/ROW]
[ROW][C]0.73[/C][C]956.855754418631[/C][C]41.4860062791904[/C][/ROW]
[ROW][C]0.74[/C][C]964.846887902229[/C][C]42.6723425893821[/C][/ROW]
[ROW][C]0.75[/C][C]973.053523819111[/C][C]43.2934330871836[/C][/ROW]
[ROW][C]0.76[/C][C]981.374222394308[/C][C]43.2657422677972[/C][/ROW]
[ROW][C]0.77[/C][C]989.701871541655[/C][C]42.5636136988751[/C][/ROW]
[ROW][C]0.78[/C][C]997.935082092879[/C][C]41.2324280694128[/C][/ROW]
[ROW][C]0.79[/C][C]1005.99032954462[/C][C]39.392534396928[/C][/ROW]
[ROW][C]0.8[/C][C]1013.81256756501[/C][C]37.2309673658256[/C][/ROW]
[ROW][C]0.81[/C][C]1021.38188213834[/C][C]34.9761823196689[/C][/ROW]
[ROW][C]0.82[/C][C]1028.71419922406[/C][C]32.8594830747658[/C][/ROW]
[ROW][C]0.83[/C][C]1035.85514720396[/C][C]31.0721120138716[/C][/ROW]
[ROW][C]0.84[/C][C]1042.86780232285[/C][C]29.7129498585631[/C][/ROW]
[ROW][C]0.85[/C][C]1049.81693884263[/C][C]28.7594695578752[/C][/ROW]
[ROW][C]0.86[/C][C]1056.75413008043[/C][C]28.0756331630219[/C][/ROW]
[ROW][C]0.87[/C][C]1063.70902873786[/C][C]27.4591216017947[/C][/ROW]
[ROW][C]0.88[/C][C]1070.69175473866[/C][C]26.7161761087245[/C][/ROW]
[ROW][C]0.89[/C][C]1077.70898758679[/C][C]25.7441427088699[/C][/ROW]
[ROW][C]0.9[/C][C]1084.79195176537[/C][C]24.5962728683148[/C][/ROW]
[ROW][C]0.91[/C][C]1092.02874836294[/C][C]23.506125251748[/C][/ROW]
[ROW][C]0.92[/C][C]1099.58857402776[/C][C]22.8446359736909[/C][/ROW]
[ROW][C]0.93[/C][C]1107.72460771697[/C][C]22.9520099961583[/C][/ROW]
[ROW][C]0.94[/C][C]1116.74774701187[/C][C]23.8744607195656[/C][/ROW]
[ROW][C]0.95[/C][C]1126.96961657818[/C][C]25.2232917972629[/C][/ROW]
[ROW][C]0.96[/C][C]1138.60238384057[/C][C]26.3640162099902[/C][/ROW]
[ROW][C]0.97[/C][C]1151.55865147716[/C][C]26.9121062419297[/C][/ROW]
[ROW][C]0.98[/C][C]1165.06596611029[/C][C]27.2381893362045[/C][/ROW]
[ROW][C]0.99[/C][C]1177.19438165025[/C][C]28.1766123215201[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293149&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293149&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
0.01459.2387185762559.1220032060386
0.02480.48317041760544.4888515365025
0.03501.2891373335633.6324908690664
0.04518.97706022545429.6530895870658
0.05533.86407108496431.1876661754954
0.06547.25164823329835.090854883536
0.07560.18686259638539.1896241149799
0.08573.13424980484642.350530228284
0.09586.09592271980344.0283079079353
0.1598.82728825114744.0564088705039
0.11611.00919548690742.5542745245138
0.12622.35479761942439.8446552083993
0.13632.66486302817736.366610955107
0.14641.84755422682432.5859725566936
0.15649.91471953873928.92959896626
0.16656.96393006692625.7434094778674
0.17663.15372450113923.2793370536996
0.18668.67775850354821.6887417902521
0.19673.74156872136921.0247424453887
0.2678.54378590965121.2420083886778
0.21683.26222732144422.2142383720494
0.22688.04449642415823.7633102831627
0.23693.0024258448225.6927864961055
0.24698.20971890263627.8049370606642
0.25703.70228220302529.9150803526856
0.26709.48086451633731.8549082025675
0.27715.51566491221833.4854963089425
0.28721.75254078822534.6987732004078
0.29728.12036238576635.4282827728516
0.3734.53896692242535.6505843431615
0.31740.92710363937535.3853142929435
0.32747.2097596031634.6904927467753
0.33753.32432496597333.6565098979093
0.34759.22518596354432.3955917547013
0.35764.88650008136531.0327408837613
0.36770.30308097769829.6965781238419
0.37775.48947562210528.5063054823696
0.38780.47743842824527.5657317376168
0.39785.31209527270926.9556331831511
0.4790.04715157623126.7196987717893
0.41794.73954286462126.8657127592767
0.42799.4439590328827.3563677035935
0.43804.2076925781728.1199389904082
0.44809.06625653312729.0560218316245
0.45814.04017671565830.0473229882383
0.46819.13327530519530.9741701396293
0.47824.33262763449231.7274133534323
0.48829.61020239706332.2150695285446
0.49834.92600933429932.3745351312462
0.5840.232406684932.1734784263903
0.51845.4790919437231.6152976235931
0.52850.61823537238730.735842470421
0.53855.60922559228229.5966807687626
0.54860.42257579037828.2842676364475
0.55865.042670669526.8970883221898
0.56869.46919380504525.5385045253065
0.57873.71723642391824.3091713360086
0.58877.81622940454923.3010169067526
0.59881.80794513527822.5880960454523
0.6885.74387707759522.2244353218666
0.61889.68232093730922.2373461359464
0.62893.68545443638222.6342391557047
0.63897.8166469021423.3984686460592
0.64902.13813133145624.5006193695598
0.65906.70905043586425.9028736301432
0.66911.58376181650927.5627048483447
0.67916.81018231147129.4362419415566
0.68922.42790137680531.475248674808
0.69928.46583176846233.6201850633511
0.7934.93931418547135.7994752240145
0.71941.84684585917437.9158003665349
0.72949.16691912017339.8552975223662
0.73956.85575441863141.4860062791904
0.74964.84688790222942.6723425893821
0.75973.05352381911143.2934330871836
0.76981.37422239430843.2657422677972
0.77989.70187154165542.5636136988751
0.78997.93508209287941.2324280694128
0.791005.9903295446239.392534396928
0.81013.8125675650137.2309673658256
0.811021.3818821383434.9761823196689
0.821028.7141992240632.8594830747658
0.831035.8551472039631.0721120138716
0.841042.8678023228529.7129498585631
0.851049.8169388426328.7594695578752
0.861056.7541300804328.0756331630219
0.871063.7090287378627.4591216017947
0.881070.6917547386626.7161761087245
0.891077.7089875867925.7441427088699
0.91084.7919517653724.5962728683148
0.911092.0287483629423.506125251748
0.921099.5885740277622.8446359736909
0.931107.7246077169722.9520099961583
0.941116.7477470118723.8744607195656
0.951126.9696165781825.2232917972629
0.961138.6023838405726.3640162099902
0.971151.5586514771626.9121062419297
0.981165.0659661102927.2381893362045
0.991177.1943816502528.1766123215201


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):
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')