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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, 04 Oct 2016 18:16:14 +0100
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/Oct/04/t14756014364iwdyx4jtnce3ck.htm/, Retrieved Tue, 21 May 2024 02:43:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 02:43:03 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

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
683

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01459.23872342444659.1219997007547
0.02480.48320962484144.4889437919813
0.03501.28932818648333.6329702481774
0.04518.97776107420429.6548095665676
0.05533.86618726037431.1933919797845
0.06547.25714610771835.1055151692328
0.07560.19950189402939.2209590597297
0.08573.16045569580342.4109221894568
0.09586.14560530963544.1338580670156
0.1598.91431905616744.2254977611789
0.11611.15122023432842.8044410411534
0.12622.57214149385940.1885395553041
0.13632.97847207992836.8073314512524
0.14642.27617346555333.1131911010987
0.15650.47175751052929.5164517723801
0.16657.6546169648426.3450087681029
0.17663.97317659638223.8360854184025
0.18669.61040484431922.1342968904541
0.19674.7621181602621.3001018302381
0.2679.61959180481321.3110125204788
0.21684.35663053114322.0713022303585
0.22689.12056164113623.4300882835513
0.23694.02646131068925.2089715384244
0.24699.1540735644127.2187016817796
0.25704.54710494730629.2747253731692
0.26710.21473108635931.2047637402101
0.27716.13517711216432.8620469658796
0.28722.26114338837434.1286931205633
0.29728.52669067709734.9281182126264
0.3734.85503641862735.2285031771932
0.31741.16660054317935.0413299053599
0.32747.38660959805634.4194544217278
0.33753.45163095107933.4498374381556
0.34759.31454941879732.2429016226534
0.35764.94768550894730.9233110941482
0.36770.34395109515929.6206051392497
0.37775.51611426726428.4550925933909
0.38780.49438308500327.5321262829661
0.39785.32261544823426.9344813651783
0.4790.05352728414226.7067597072435
0.41794.7433149913626.8580204114279
0.42799.44613787736227.3519366737663
0.43804.20892134942428.11726090102
0.44809.06693314102629.0545663655448
0.45814.04054049212530.0465456693975
0.46819.13346627650530.9738570713957
0.47824.33272552405731.7272834630276
0.48829.61025138988932.2149586845741
0.49834.92603327538132.3743764661205
0.5840.23241810715232.1735110019236
0.51845.47909726396931.6153136450356
0.52850.61823779148630.7358502582258
0.53855.60922666597429.5966888107746
0.54860.422576255528.2842986938594
0.55865.04267086613726.8970883221898
0.56869.46919388616225.5385045253065
0.57873.71723645656524.3091713360086
0.58877.81622941736623.3010169067526
0.59881.80794514018522.5880960454523
0.6885.74387707942822.2244353218666
0.61889.68232093797522.2373461359464
0.62893.68545443661922.6342391557047
0.63897.81664690222223.3984686460592
0.64902.13813133148424.5006193695598
0.65906.70905043587325.9028736301432
0.66911.58376181651227.5627048483447
0.67916.81018231147229.4362419415566
0.68922.42790137680631.475248674808
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 & 459.238723424446 & 59.1219997007547 \tabularnewline
0.02 & 480.483209624841 & 44.4889437919813 \tabularnewline
0.03 & 501.289328186483 & 33.6329702481774 \tabularnewline
0.04 & 518.977761074204 & 29.6548095665676 \tabularnewline
0.05 & 533.866187260374 & 31.1933919797845 \tabularnewline
0.06 & 547.257146107718 & 35.1055151692328 \tabularnewline
0.07 & 560.199501894029 & 39.2209590597297 \tabularnewline
0.08 & 573.160455695803 & 42.4109221894568 \tabularnewline
0.09 & 586.145605309635 & 44.1338580670156 \tabularnewline
0.1 & 598.914319056167 & 44.2254977611789 \tabularnewline
0.11 & 611.151220234328 & 42.8044410411534 \tabularnewline
0.12 & 622.572141493859 & 40.1885395553041 \tabularnewline
0.13 & 632.978472079928 & 36.8073314512524 \tabularnewline
0.14 & 642.276173465553 & 33.1131911010987 \tabularnewline
0.15 & 650.471757510529 & 29.5164517723801 \tabularnewline
0.16 & 657.65461696484 & 26.3450087681029 \tabularnewline
0.17 & 663.973176596382 & 23.8360854184025 \tabularnewline
0.18 & 669.610404844319 & 22.1342968904541 \tabularnewline
0.19 & 674.76211816026 & 21.3001018302381 \tabularnewline
0.2 & 679.619591804813 & 21.3110125204788 \tabularnewline
0.21 & 684.356630531143 & 22.0713022303585 \tabularnewline
0.22 & 689.120561641136 & 23.4300882835513 \tabularnewline
0.23 & 694.026461310689 & 25.2089715384244 \tabularnewline
0.24 & 699.15407356441 & 27.2187016817796 \tabularnewline
0.25 & 704.547104947306 & 29.2747253731692 \tabularnewline
0.26 & 710.214731086359 & 31.2047637402101 \tabularnewline
0.27 & 716.135177112164 & 32.8620469658796 \tabularnewline
0.28 & 722.261143388374 & 34.1286931205633 \tabularnewline
0.29 & 728.526690677097 & 34.9281182126264 \tabularnewline
0.3 & 734.855036418627 & 35.2285031771932 \tabularnewline
0.31 & 741.166600543179 & 35.0413299053599 \tabularnewline
0.32 & 747.386609598056 & 34.4194544217278 \tabularnewline
0.33 & 753.451630951079 & 33.4498374381556 \tabularnewline
0.34 & 759.314549418797 & 32.2429016226534 \tabularnewline
0.35 & 764.947685508947 & 30.9233110941482 \tabularnewline
0.36 & 770.343951095159 & 29.6206051392497 \tabularnewline
0.37 & 775.516114267264 & 28.4550925933909 \tabularnewline
0.38 & 780.494383085003 & 27.5321262829661 \tabularnewline
0.39 & 785.322615448234 & 26.9344813651783 \tabularnewline
0.4 & 790.053527284142 & 26.7067597072435 \tabularnewline
0.41 & 794.74331499136 & 26.8580204114279 \tabularnewline
0.42 & 799.446137877362 & 27.3519366737663 \tabularnewline
0.43 & 804.208921349424 & 28.11726090102 \tabularnewline
0.44 & 809.066933141026 & 29.0545663655448 \tabularnewline
0.45 & 814.040540492125 & 30.0465456693975 \tabularnewline
0.46 & 819.133466276505 & 30.9738570713957 \tabularnewline
0.47 & 824.332725524057 & 31.7272834630276 \tabularnewline
0.48 & 829.610251389889 & 32.2149586845741 \tabularnewline
0.49 & 834.926033275381 & 32.3743764661205 \tabularnewline
0.5 & 840.232418107152 & 32.1735110019236 \tabularnewline
0.51 & 845.479097263969 & 31.6153136450356 \tabularnewline
0.52 & 850.618237791486 & 30.7358502582258 \tabularnewline
0.53 & 855.609226665974 & 29.5966888107746 \tabularnewline
0.54 & 860.4225762555 & 28.2842986938594 \tabularnewline
0.55 & 865.042670866137 & 26.8970883221898 \tabularnewline
0.56 & 869.469193886162 & 25.5385045253065 \tabularnewline
0.57 & 873.717236456565 & 24.3091713360086 \tabularnewline
0.58 & 877.816229417366 & 23.3010169067526 \tabularnewline
0.59 & 881.807945140185 & 22.5880960454523 \tabularnewline
0.6 & 885.743877079428 & 22.2244353218666 \tabularnewline
0.61 & 889.682320937975 & 22.2373461359464 \tabularnewline
0.62 & 893.685454436619 & 22.6342391557047 \tabularnewline
0.63 & 897.816646902222 & 23.3984686460592 \tabularnewline
0.64 & 902.138131331484 & 24.5006193695598 \tabularnewline
0.65 & 906.709050435873 & 25.9028736301432 \tabularnewline
0.66 & 911.583761816512 & 27.5627048483447 \tabularnewline
0.67 & 916.810182311472 & 29.4362419415566 \tabularnewline
0.68 & 922.427901376806 & 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=&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]459.238723424446[/C][C]59.1219997007547[/C][/ROW]
[ROW][C]0.02[/C][C]480.483209624841[/C][C]44.4889437919813[/C][/ROW]
[ROW][C]0.03[/C][C]501.289328186483[/C][C]33.6329702481774[/C][/ROW]
[ROW][C]0.04[/C][C]518.977761074204[/C][C]29.6548095665676[/C][/ROW]
[ROW][C]0.05[/C][C]533.866187260374[/C][C]31.1933919797845[/C][/ROW]
[ROW][C]0.06[/C][C]547.257146107718[/C][C]35.1055151692328[/C][/ROW]
[ROW][C]0.07[/C][C]560.199501894029[/C][C]39.2209590597297[/C][/ROW]
[ROW][C]0.08[/C][C]573.160455695803[/C][C]42.4109221894568[/C][/ROW]
[ROW][C]0.09[/C][C]586.145605309635[/C][C]44.1338580670156[/C][/ROW]
[ROW][C]0.1[/C][C]598.914319056167[/C][C]44.2254977611789[/C][/ROW]
[ROW][C]0.11[/C][C]611.151220234328[/C][C]42.8044410411534[/C][/ROW]
[ROW][C]0.12[/C][C]622.572141493859[/C][C]40.1885395553041[/C][/ROW]
[ROW][C]0.13[/C][C]632.978472079928[/C][C]36.8073314512524[/C][/ROW]
[ROW][C]0.14[/C][C]642.276173465553[/C][C]33.1131911010987[/C][/ROW]
[ROW][C]0.15[/C][C]650.471757510529[/C][C]29.5164517723801[/C][/ROW]
[ROW][C]0.16[/C][C]657.65461696484[/C][C]26.3450087681029[/C][/ROW]
[ROW][C]0.17[/C][C]663.973176596382[/C][C]23.8360854184025[/C][/ROW]
[ROW][C]0.18[/C][C]669.610404844319[/C][C]22.1342968904541[/C][/ROW]
[ROW][C]0.19[/C][C]674.76211816026[/C][C]21.3001018302381[/C][/ROW]
[ROW][C]0.2[/C][C]679.619591804813[/C][C]21.3110125204788[/C][/ROW]
[ROW][C]0.21[/C][C]684.356630531143[/C][C]22.0713022303585[/C][/ROW]
[ROW][C]0.22[/C][C]689.120561641136[/C][C]23.4300882835513[/C][/ROW]
[ROW][C]0.23[/C][C]694.026461310689[/C][C]25.2089715384244[/C][/ROW]
[ROW][C]0.24[/C][C]699.15407356441[/C][C]27.2187016817796[/C][/ROW]
[ROW][C]0.25[/C][C]704.547104947306[/C][C]29.2747253731692[/C][/ROW]
[ROW][C]0.26[/C][C]710.214731086359[/C][C]31.2047637402101[/C][/ROW]
[ROW][C]0.27[/C][C]716.135177112164[/C][C]32.8620469658796[/C][/ROW]
[ROW][C]0.28[/C][C]722.261143388374[/C][C]34.1286931205633[/C][/ROW]
[ROW][C]0.29[/C][C]728.526690677097[/C][C]34.9281182126264[/C][/ROW]
[ROW][C]0.3[/C][C]734.855036418627[/C][C]35.2285031771932[/C][/ROW]
[ROW][C]0.31[/C][C]741.166600543179[/C][C]35.0413299053599[/C][/ROW]
[ROW][C]0.32[/C][C]747.386609598056[/C][C]34.4194544217278[/C][/ROW]
[ROW][C]0.33[/C][C]753.451630951079[/C][C]33.4498374381556[/C][/ROW]
[ROW][C]0.34[/C][C]759.314549418797[/C][C]32.2429016226534[/C][/ROW]
[ROW][C]0.35[/C][C]764.947685508947[/C][C]30.9233110941482[/C][/ROW]
[ROW][C]0.36[/C][C]770.343951095159[/C][C]29.6206051392497[/C][/ROW]
[ROW][C]0.37[/C][C]775.516114267264[/C][C]28.4550925933909[/C][/ROW]
[ROW][C]0.38[/C][C]780.494383085003[/C][C]27.5321262829661[/C][/ROW]
[ROW][C]0.39[/C][C]785.322615448234[/C][C]26.9344813651783[/C][/ROW]
[ROW][C]0.4[/C][C]790.053527284142[/C][C]26.7067597072435[/C][/ROW]
[ROW][C]0.41[/C][C]794.74331499136[/C][C]26.8580204114279[/C][/ROW]
[ROW][C]0.42[/C][C]799.446137877362[/C][C]27.3519366737663[/C][/ROW]
[ROW][C]0.43[/C][C]804.208921349424[/C][C]28.11726090102[/C][/ROW]
[ROW][C]0.44[/C][C]809.066933141026[/C][C]29.0545663655448[/C][/ROW]
[ROW][C]0.45[/C][C]814.040540492125[/C][C]30.0465456693975[/C][/ROW]
[ROW][C]0.46[/C][C]819.133466276505[/C][C]30.9738570713957[/C][/ROW]
[ROW][C]0.47[/C][C]824.332725524057[/C][C]31.7272834630276[/C][/ROW]
[ROW][C]0.48[/C][C]829.610251389889[/C][C]32.2149586845741[/C][/ROW]
[ROW][C]0.49[/C][C]834.926033275381[/C][C]32.3743764661205[/C][/ROW]
[ROW][C]0.5[/C][C]840.232418107152[/C][C]32.1735110019236[/C][/ROW]
[ROW][C]0.51[/C][C]845.479097263969[/C][C]31.6153136450356[/C][/ROW]
[ROW][C]0.52[/C][C]850.618237791486[/C][C]30.7358502582258[/C][/ROW]
[ROW][C]0.53[/C][C]855.609226665974[/C][C]29.5966888107746[/C][/ROW]
[ROW][C]0.54[/C][C]860.4225762555[/C][C]28.2842986938594[/C][/ROW]
[ROW][C]0.55[/C][C]865.042670866137[/C][C]26.8970883221898[/C][/ROW]
[ROW][C]0.56[/C][C]869.469193886162[/C][C]25.5385045253065[/C][/ROW]
[ROW][C]0.57[/C][C]873.717236456565[/C][C]24.3091713360086[/C][/ROW]
[ROW][C]0.58[/C][C]877.816229417366[/C][C]23.3010169067526[/C][/ROW]
[ROW][C]0.59[/C][C]881.807945140185[/C][C]22.5880960454523[/C][/ROW]
[ROW][C]0.6[/C][C]885.743877079428[/C][C]22.2244353218666[/C][/ROW]
[ROW][C]0.61[/C][C]889.682320937975[/C][C]22.2373461359464[/C][/ROW]
[ROW][C]0.62[/C][C]893.685454436619[/C][C]22.6342391557047[/C][/ROW]
[ROW][C]0.63[/C][C]897.816646902222[/C][C]23.3984686460592[/C][/ROW]
[ROW][C]0.64[/C][C]902.138131331484[/C][C]24.5006193695598[/C][/ROW]
[ROW][C]0.65[/C][C]906.709050435873[/C][C]25.9028736301432[/C][/ROW]
[ROW][C]0.66[/C][C]911.583761816512[/C][C]27.5627048483447[/C][/ROW]
[ROW][C]0.67[/C][C]916.810182311472[/C][C]29.4362419415566[/C][/ROW]
[ROW][C]0.68[/C][C]922.427901376806[/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=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01459.23872342444659.1219997007547
0.02480.48320962484144.4889437919813
0.03501.28932818648333.6329702481774
0.04518.97776107420429.6548095665676
0.05533.86618726037431.1933919797845
0.06547.25714610771835.1055151692328
0.07560.19950189402939.2209590597297
0.08573.16045569580342.4109221894568
0.09586.14560530963544.1338580670156
0.1598.91431905616744.2254977611789
0.11611.15122023432842.8044410411534
0.12622.57214149385940.1885395553041
0.13632.97847207992836.8073314512524
0.14642.27617346555333.1131911010987
0.15650.47175751052929.5164517723801
0.16657.6546169648426.3450087681029
0.17663.97317659638223.8360854184025
0.18669.61040484431922.1342968904541
0.19674.7621181602621.3001018302381
0.2679.61959180481321.3110125204788
0.21684.35663053114322.0713022303585
0.22689.12056164113623.4300882835513
0.23694.02646131068925.2089715384244
0.24699.1540735644127.2187016817796
0.25704.54710494730629.2747253731692
0.26710.21473108635931.2047637402101
0.27716.13517711216432.8620469658796
0.28722.26114338837434.1286931205633
0.29728.52669067709734.9281182126264
0.3734.85503641862735.2285031771932
0.31741.16660054317935.0413299053599
0.32747.38660959805634.4194544217278
0.33753.45163095107933.4498374381556
0.34759.31454941879732.2429016226534
0.35764.94768550894730.9233110941482
0.36770.34395109515929.6206051392497
0.37775.51611426726428.4550925933909
0.38780.49438308500327.5321262829661
0.39785.32261544823426.9344813651783
0.4790.05352728414226.7067597072435
0.41794.7433149913626.8580204114279
0.42799.44613787736227.3519366737663
0.43804.20892134942428.11726090102
0.44809.06693314102629.0545663655448
0.45814.04054049212530.0465456693975
0.46819.13346627650530.9738570713957
0.47824.33272552405731.7272834630276
0.48829.61025138988932.2149586845741
0.49834.92603327538132.3743764661205
0.5840.23241810715232.1735110019236
0.51845.47909726396931.6153136450356
0.52850.61823779148630.7358502582258
0.53855.60922666597429.5966888107746
0.54860.422576255528.2842986938594
0.55865.04267086613726.8970883221898
0.56869.46919388616225.5385045253065
0.57873.71723645656524.3091713360086
0.58877.81622941736623.3010169067526
0.59881.80794514018522.5880960454523
0.6885.74387707942822.2244353218666
0.61889.68232093797522.2373461359464
0.62893.68545443661922.6342391557047
0.63897.81664690222223.3984686460592
0.64902.13813133148424.5006193695598
0.65906.70905043587325.9028736301432
0.66911.58376181651227.5627048483447
0.67916.81018231147229.4362419415566
0.68922.42790137680631.475248674808
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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')