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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 30 Oct 2008 15:33:21 -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/2008/Oct/30/t1225402498qrcjx9oeqza7dcr.htm/, Retrieved Sun, 19 May 2024 02:19:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20177, Retrieved Sun, 19 May 2024 02:19:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
-    D  [Tukey lambda PPCC Plot] [Q8 Consumptiegoed...] [2008-10-27 17:49:25] [491a70d26f8c977398d8a0c1c87d3dd4]
- RMP       [Harrell-Davis Quantiles] [Q9] [2008-10-30 21:33:21] [2ba2a74112fb2c960057a572bf2825d3] [Current]
- R           [Harrell-Davis Quantiles] [Q 9 manier 2] [2008-10-30 21:37:49] [491a70d26f8c977398d8a0c1c87d3dd4]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.6
103
111.6
106.3
97.9
108.8
103.9
101.2
122.9
123.9
111.7
120.9
99.6
103.3
119.4
106.5
101.9
124.6
106.5
107.8
127.4
120.1
118.5
127.7
107.7
104.5
118.8
110.3
109.6
119.1
96.5
106.7
126.3
116.2
118.8
115.2
110
111.4
129.6
108.1
117.8
122.9
100.6
111.8
127
128.6
124.8
118.5
114.7
112.6
128.7
111
115.8
126
111.1
113.2
120.1
130.6
124
119.4
116.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20177&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20177&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.91040751098381.413577124856
0.01597.2188484435351.45151421719319
0.0297.5698923560511.49445501516001
0.02597.94429528503851.53135964211001
0.0398.32634393708431.55423207278044
0.03598.70457314366131.56015283906562
0.0499.07149479668891.55109384353091
0.04599.42286989982491.53179090036155
0.0599.75687681951321.50790768702702
0.055100.0733605094311.48452206635970
0.06100.3732303742381.46548113563265
0.065100.6580100974151.45284232512991
0.07100.9295163196291.44738889397348
0.075101.1896377553931.44879921561837
0.08101.4401898373251.45610156867480
0.085101.6828253951531.46808008958534
0.09101.9189864355771.48360486887915
0.095102.1498853076221.50151900840052
0.1102.3765058259811.52100697412506
0.105102.5996167903171.54119336130908
0.11102.8197920830381.56149759483998
0.115103.0374332206181.58119044587610
0.12103.2527917988771.59971345844648
0.125103.4659905917271.61639749717794
0.13103.6770430420651.63057675716058
0.135103.8858714867521.64157797449708
0.14104.0923247082051.64880222981384
0.145104.2961953717131.65185381739907
0.15104.4972376830141.65037588719833
0.155104.6951852826731.64428344340704
0.16104.8897690693741.63373459944039
0.165105.0807343798471.61888441468026
0.17105.2678567906311.60043121566211
0.175105.4509557634401.57907116624447
0.18105.6299054272211.55539178313408
0.185105.8046419562831.530460146717
0.19105.9751672346851.50519941494363
0.195106.1415487587101.48038903775819
0.2106.3039159884571.45700011181293
0.205106.4624535886661.43549782139837
0.21106.6173921770921.41645659895809
0.215106.7689973141781.40027737001337
0.22106.9175575167011.38704400223754
0.225107.0633720640191.37671611765015
0.23107.2067392977931.36927679044512
0.235107.3479460073021.36429110954430
0.24107.4872583573401.36131898124631
0.245107.6249146685531.36006302704991
0.25107.7611202140151.36000935051424
0.255107.8960440615681.36065909950454
0.26108.0298178766251.36163767931639
0.265108.1625365096811.36245568659389
0.27108.2942601284851.36282340875842
0.275108.4250176162561.36244112729522
0.28108.5548109421551.36105936380117
0.285108.6836202146751.35868556927486
0.29108.8114091484071.35496192937650
0.295108.9381307050091.34999718693981
0.3109.0637327058841.34378270841334
0.305109.1881632528781.33640096476070
0.31109.3113758311821.32813194145307
0.315109.4333340027951.31898572974485
0.32109.5540156279351.30926976908276
0.325109.6734165745091.29924383807347
0.33109.7915538920871.28921638122194
0.335109.9084684370391.27941937294574
0.34110.0242269404821.27031950359442
0.345110.1389235115511.26220490282938
0.35110.2526805666931.25548010517197
0.355110.3656491726731.25046948782222
0.36110.4780087881491.24757470177368
0.365110.5899663874431.24721460404780
0.37110.7017549515051.24977082150474
0.375110.8136313158541.25551714403385
0.38110.9258733739301.26480456481766
0.385111.0387766468651.27792062779544
0.39111.1526502467601.29499026127355
0.395111.2678122795961.31619938630725
0.4111.3845847547661.34159876760088
0.405111.5032880897541.37103224434028
0.41111.6242353192391.40454071716419
0.415111.7477261364931.44178335218207
0.42111.8740409099251.48251390200378
0.425112.0034348278591.52610303959678
0.43112.136132329011.57235930272245
0.435112.2723219742171.62051928871111
0.44112.4121519062941.67010977633099
0.445112.5557260297821.72053744975648
0.45112.7031010212891.77111809743770
0.455112.8542842551211.82096335299445
0.46113.0092326991581.86971453448949
0.465113.1678528040811.91645821992310
0.47113.3300013766561.96081537960749
0.475113.4954873965742.00205350950319
0.48113.6640747079912.03957530566256
0.485113.8354854927002.07309562703854
0.49114.0094044131142.1022650311393
0.495114.1854833005642.12649199155223
0.5114.3633462583132.14572034032505
0.505114.5425950490392.15963755578202
0.51114.7228146429162.16820631367376
0.515114.9035788139452.17125600303523
0.52115.0844556877992.16895463229158
0.525115.2650131626632.16119525836962
0.53115.4448241440062.14826721237327
0.535115.6234715534002.13024652694848
0.54115.8005530889972.10737475502788
0.545115.9756857299602.07984065426121
0.55116.1485099880742.04803094096664
0.555116.3186939163732.01225885393742
0.56116.4859368867251.97286273748242
0.565116.6499731459531.93030681861269
0.57116.8105751538631.88498735757987
0.575116.9675566970271.83730281829573
0.58117.1207757604731.78781799621143
0.585117.2701371264521.73712119564756
0.59117.4155946564091.68567911718665
0.595117.5571532001131.63408019598564
0.6117.6948700656561.58291860584398
0.605117.8288559763931.53289220008846
0.61117.9592754364881.48457577562120
0.615118.0863464259301.43871949600222
0.62118.2103393488811.39584277203648
0.625118.3315751659941.35676344406666
0.63118.4504226519151.32204178323727
0.635118.5672947332371.29226581069367
0.64118.6826438796421.26810559095891
0.645118.7969565415661.24987068405059
0.65118.9107466512371.23803957043196
0.655119.0245482302481.23279777955453
0.66119.1389071755381.23449666675269
0.665119.2543723266131.24296723666111
0.67119.3714859494181.25815185090844
0.675119.4907738057911.27965263817588
0.68119.6127350110041.30708032393895
0.685119.7378319139641.33980966226050
0.69119.8664802637851.37720606138498
0.695119.9990399503401.41836099377873
0.7120.1358066230671.46241278102001
0.705120.2770044990171.50837025722892
0.71120.4227806657401.55525464389161
0.715120.5732011648321.60194396016495
0.72120.7282491062311.64754525010277
0.725120.8878250106651.69086340005076
0.73121.0517495082771.73103654930025
0.735121.2197684364011.76716110628030
0.74121.3915602815161.79851209913415
0.745121.5667458033591.82441378760898
0.75121.7448995682161.84440029383097
0.755121.9255630098541.85802933734499
0.76122.108258537391.86535730727208
0.765122.2925041270591.86631521898401
0.77122.4778277765051.86108455635199
0.775122.6637811724851.85016805793281
0.78122.8499519308181.83405759719862
0.785123.0359738143801.81336218250687
0.79123.2215344218051.78899058583577
0.795123.4063799644251.76170087104726
0.8123.5903169069911.73234601649855
0.805123.7732104310391.70177375056030
0.81123.9549798776571.67066627719580
0.815124.1355915259891.63971372930618
0.82124.3150492503061.6092867288419
0.825124.4933837565261.57977375772550
0.83124.6706412137041.55130447633746
0.835124.8468721537761.52382617630216
0.84125.0221215036871.49705837746874
0.845125.1964205324661.47081733539974
0.85125.3697813425611.44461739638106
0.855125.5421943185501.41796861120888
0.86125.7136286843361.39059711105295
0.865125.8840360389261.36210437661145
0.87126.0533564759641.33227076991890
0.875126.2215266850211.30096669136786
0.88126.3884893268711.26822423198237
0.885126.5542030098371.23428747467212
0.89126.7186523953011.19934609174469
0.895126.8818583293181.16381052158207
0.9127.0438884002091.12807890480427
0.905127.2048688810531.09250479990286
0.91127.3649995022141.0574560133829
0.915127.5245727313111.02317855601572
0.92127.6839989849130.989855178983426
0.925127.8438381794410.957836998502303
0.93128.0048359269960.927385397790715
0.935128.1679591408220.899159415167424
0.94128.3344204899810.87399778494334
0.945128.5056738320440.853181670024479
0.95128.6833537216740.838041331164226
0.955128.8691227029770.829720862320525
0.96129.0643837844730.828786143172519
0.965129.2698189372740.834910612171043
0.97129.4847382007520.847187047126726
0.975129.7062812235520.86443674221735
0.98129.9286144822730.885754698278527
0.985130.1424100613730.910513610942864
0.99130.3350422359180.937401742657

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.9104075109838 & 1.413577124856 \tabularnewline
0.015 & 97.218848443535 & 1.45151421719319 \tabularnewline
0.02 & 97.569892356051 & 1.49445501516001 \tabularnewline
0.025 & 97.9442952850385 & 1.53135964211001 \tabularnewline
0.03 & 98.3263439370843 & 1.55423207278044 \tabularnewline
0.035 & 98.7045731436613 & 1.56015283906562 \tabularnewline
0.04 & 99.0714947966889 & 1.55109384353091 \tabularnewline
0.045 & 99.4228698998249 & 1.53179090036155 \tabularnewline
0.05 & 99.7568768195132 & 1.50790768702702 \tabularnewline
0.055 & 100.073360509431 & 1.48452206635970 \tabularnewline
0.06 & 100.373230374238 & 1.46548113563265 \tabularnewline
0.065 & 100.658010097415 & 1.45284232512991 \tabularnewline
0.07 & 100.929516319629 & 1.44738889397348 \tabularnewline
0.075 & 101.189637755393 & 1.44879921561837 \tabularnewline
0.08 & 101.440189837325 & 1.45610156867480 \tabularnewline
0.085 & 101.682825395153 & 1.46808008958534 \tabularnewline
0.09 & 101.918986435577 & 1.48360486887915 \tabularnewline
0.095 & 102.149885307622 & 1.50151900840052 \tabularnewline
0.1 & 102.376505825981 & 1.52100697412506 \tabularnewline
0.105 & 102.599616790317 & 1.54119336130908 \tabularnewline
0.11 & 102.819792083038 & 1.56149759483998 \tabularnewline
0.115 & 103.037433220618 & 1.58119044587610 \tabularnewline
0.12 & 103.252791798877 & 1.59971345844648 \tabularnewline
0.125 & 103.465990591727 & 1.61639749717794 \tabularnewline
0.13 & 103.677043042065 & 1.63057675716058 \tabularnewline
0.135 & 103.885871486752 & 1.64157797449708 \tabularnewline
0.14 & 104.092324708205 & 1.64880222981384 \tabularnewline
0.145 & 104.296195371713 & 1.65185381739907 \tabularnewline
0.15 & 104.497237683014 & 1.65037588719833 \tabularnewline
0.155 & 104.695185282673 & 1.64428344340704 \tabularnewline
0.16 & 104.889769069374 & 1.63373459944039 \tabularnewline
0.165 & 105.080734379847 & 1.61888441468026 \tabularnewline
0.17 & 105.267856790631 & 1.60043121566211 \tabularnewline
0.175 & 105.450955763440 & 1.57907116624447 \tabularnewline
0.18 & 105.629905427221 & 1.55539178313408 \tabularnewline
0.185 & 105.804641956283 & 1.530460146717 \tabularnewline
0.19 & 105.975167234685 & 1.50519941494363 \tabularnewline
0.195 & 106.141548758710 & 1.48038903775819 \tabularnewline
0.2 & 106.303915988457 & 1.45700011181293 \tabularnewline
0.205 & 106.462453588666 & 1.43549782139837 \tabularnewline
0.21 & 106.617392177092 & 1.41645659895809 \tabularnewline
0.215 & 106.768997314178 & 1.40027737001337 \tabularnewline
0.22 & 106.917557516701 & 1.38704400223754 \tabularnewline
0.225 & 107.063372064019 & 1.37671611765015 \tabularnewline
0.23 & 107.206739297793 & 1.36927679044512 \tabularnewline
0.235 & 107.347946007302 & 1.36429110954430 \tabularnewline
0.24 & 107.487258357340 & 1.36131898124631 \tabularnewline
0.245 & 107.624914668553 & 1.36006302704991 \tabularnewline
0.25 & 107.761120214015 & 1.36000935051424 \tabularnewline
0.255 & 107.896044061568 & 1.36065909950454 \tabularnewline
0.26 & 108.029817876625 & 1.36163767931639 \tabularnewline
0.265 & 108.162536509681 & 1.36245568659389 \tabularnewline
0.27 & 108.294260128485 & 1.36282340875842 \tabularnewline
0.275 & 108.425017616256 & 1.36244112729522 \tabularnewline
0.28 & 108.554810942155 & 1.36105936380117 \tabularnewline
0.285 & 108.683620214675 & 1.35868556927486 \tabularnewline
0.29 & 108.811409148407 & 1.35496192937650 \tabularnewline
0.295 & 108.938130705009 & 1.34999718693981 \tabularnewline
0.3 & 109.063732705884 & 1.34378270841334 \tabularnewline
0.305 & 109.188163252878 & 1.33640096476070 \tabularnewline
0.31 & 109.311375831182 & 1.32813194145307 \tabularnewline
0.315 & 109.433334002795 & 1.31898572974485 \tabularnewline
0.32 & 109.554015627935 & 1.30926976908276 \tabularnewline
0.325 & 109.673416574509 & 1.29924383807347 \tabularnewline
0.33 & 109.791553892087 & 1.28921638122194 \tabularnewline
0.335 & 109.908468437039 & 1.27941937294574 \tabularnewline
0.34 & 110.024226940482 & 1.27031950359442 \tabularnewline
0.345 & 110.138923511551 & 1.26220490282938 \tabularnewline
0.35 & 110.252680566693 & 1.25548010517197 \tabularnewline
0.355 & 110.365649172673 & 1.25046948782222 \tabularnewline
0.36 & 110.478008788149 & 1.24757470177368 \tabularnewline
0.365 & 110.589966387443 & 1.24721460404780 \tabularnewline
0.37 & 110.701754951505 & 1.24977082150474 \tabularnewline
0.375 & 110.813631315854 & 1.25551714403385 \tabularnewline
0.38 & 110.925873373930 & 1.26480456481766 \tabularnewline
0.385 & 111.038776646865 & 1.27792062779544 \tabularnewline
0.39 & 111.152650246760 & 1.29499026127355 \tabularnewline
0.395 & 111.267812279596 & 1.31619938630725 \tabularnewline
0.4 & 111.384584754766 & 1.34159876760088 \tabularnewline
0.405 & 111.503288089754 & 1.37103224434028 \tabularnewline
0.41 & 111.624235319239 & 1.40454071716419 \tabularnewline
0.415 & 111.747726136493 & 1.44178335218207 \tabularnewline
0.42 & 111.874040909925 & 1.48251390200378 \tabularnewline
0.425 & 112.003434827859 & 1.52610303959678 \tabularnewline
0.43 & 112.13613232901 & 1.57235930272245 \tabularnewline
0.435 & 112.272321974217 & 1.62051928871111 \tabularnewline
0.44 & 112.412151906294 & 1.67010977633099 \tabularnewline
0.445 & 112.555726029782 & 1.72053744975648 \tabularnewline
0.45 & 112.703101021289 & 1.77111809743770 \tabularnewline
0.455 & 112.854284255121 & 1.82096335299445 \tabularnewline
0.46 & 113.009232699158 & 1.86971453448949 \tabularnewline
0.465 & 113.167852804081 & 1.91645821992310 \tabularnewline
0.47 & 113.330001376656 & 1.96081537960749 \tabularnewline
0.475 & 113.495487396574 & 2.00205350950319 \tabularnewline
0.48 & 113.664074707991 & 2.03957530566256 \tabularnewline
0.485 & 113.835485492700 & 2.07309562703854 \tabularnewline
0.49 & 114.009404413114 & 2.1022650311393 \tabularnewline
0.495 & 114.185483300564 & 2.12649199155223 \tabularnewline
0.5 & 114.363346258313 & 2.14572034032505 \tabularnewline
0.505 & 114.542595049039 & 2.15963755578202 \tabularnewline
0.51 & 114.722814642916 & 2.16820631367376 \tabularnewline
0.515 & 114.903578813945 & 2.17125600303523 \tabularnewline
0.52 & 115.084455687799 & 2.16895463229158 \tabularnewline
0.525 & 115.265013162663 & 2.16119525836962 \tabularnewline
0.53 & 115.444824144006 & 2.14826721237327 \tabularnewline
0.535 & 115.623471553400 & 2.13024652694848 \tabularnewline
0.54 & 115.800553088997 & 2.10737475502788 \tabularnewline
0.545 & 115.975685729960 & 2.07984065426121 \tabularnewline
0.55 & 116.148509988074 & 2.04803094096664 \tabularnewline
0.555 & 116.318693916373 & 2.01225885393742 \tabularnewline
0.56 & 116.485936886725 & 1.97286273748242 \tabularnewline
0.565 & 116.649973145953 & 1.93030681861269 \tabularnewline
0.57 & 116.810575153863 & 1.88498735757987 \tabularnewline
0.575 & 116.967556697027 & 1.83730281829573 \tabularnewline
0.58 & 117.120775760473 & 1.78781799621143 \tabularnewline
0.585 & 117.270137126452 & 1.73712119564756 \tabularnewline
0.59 & 117.415594656409 & 1.68567911718665 \tabularnewline
0.595 & 117.557153200113 & 1.63408019598564 \tabularnewline
0.6 & 117.694870065656 & 1.58291860584398 \tabularnewline
0.605 & 117.828855976393 & 1.53289220008846 \tabularnewline
0.61 & 117.959275436488 & 1.48457577562120 \tabularnewline
0.615 & 118.086346425930 & 1.43871949600222 \tabularnewline
0.62 & 118.210339348881 & 1.39584277203648 \tabularnewline
0.625 & 118.331575165994 & 1.35676344406666 \tabularnewline
0.63 & 118.450422651915 & 1.32204178323727 \tabularnewline
0.635 & 118.567294733237 & 1.29226581069367 \tabularnewline
0.64 & 118.682643879642 & 1.26810559095891 \tabularnewline
0.645 & 118.796956541566 & 1.24987068405059 \tabularnewline
0.65 & 118.910746651237 & 1.23803957043196 \tabularnewline
0.655 & 119.024548230248 & 1.23279777955453 \tabularnewline
0.66 & 119.138907175538 & 1.23449666675269 \tabularnewline
0.665 & 119.254372326613 & 1.24296723666111 \tabularnewline
0.67 & 119.371485949418 & 1.25815185090844 \tabularnewline
0.675 & 119.490773805791 & 1.27965263817588 \tabularnewline
0.68 & 119.612735011004 & 1.30708032393895 \tabularnewline
0.685 & 119.737831913964 & 1.33980966226050 \tabularnewline
0.69 & 119.866480263785 & 1.37720606138498 \tabularnewline
0.695 & 119.999039950340 & 1.41836099377873 \tabularnewline
0.7 & 120.135806623067 & 1.46241278102001 \tabularnewline
0.705 & 120.277004499017 & 1.50837025722892 \tabularnewline
0.71 & 120.422780665740 & 1.55525464389161 \tabularnewline
0.715 & 120.573201164832 & 1.60194396016495 \tabularnewline
0.72 & 120.728249106231 & 1.64754525010277 \tabularnewline
0.725 & 120.887825010665 & 1.69086340005076 \tabularnewline
0.73 & 121.051749508277 & 1.73103654930025 \tabularnewline
0.735 & 121.219768436401 & 1.76716110628030 \tabularnewline
0.74 & 121.391560281516 & 1.79851209913415 \tabularnewline
0.745 & 121.566745803359 & 1.82441378760898 \tabularnewline
0.75 & 121.744899568216 & 1.84440029383097 \tabularnewline
0.755 & 121.925563009854 & 1.85802933734499 \tabularnewline
0.76 & 122.10825853739 & 1.86535730727208 \tabularnewline
0.765 & 122.292504127059 & 1.86631521898401 \tabularnewline
0.77 & 122.477827776505 & 1.86108455635199 \tabularnewline
0.775 & 122.663781172485 & 1.85016805793281 \tabularnewline
0.78 & 122.849951930818 & 1.83405759719862 \tabularnewline
0.785 & 123.035973814380 & 1.81336218250687 \tabularnewline
0.79 & 123.221534421805 & 1.78899058583577 \tabularnewline
0.795 & 123.406379964425 & 1.76170087104726 \tabularnewline
0.8 & 123.590316906991 & 1.73234601649855 \tabularnewline
0.805 & 123.773210431039 & 1.70177375056030 \tabularnewline
0.81 & 123.954979877657 & 1.67066627719580 \tabularnewline
0.815 & 124.135591525989 & 1.63971372930618 \tabularnewline
0.82 & 124.315049250306 & 1.6092867288419 \tabularnewline
0.825 & 124.493383756526 & 1.57977375772550 \tabularnewline
0.83 & 124.670641213704 & 1.55130447633746 \tabularnewline
0.835 & 124.846872153776 & 1.52382617630216 \tabularnewline
0.84 & 125.022121503687 & 1.49705837746874 \tabularnewline
0.845 & 125.196420532466 & 1.47081733539974 \tabularnewline
0.85 & 125.369781342561 & 1.44461739638106 \tabularnewline
0.855 & 125.542194318550 & 1.41796861120888 \tabularnewline
0.86 & 125.713628684336 & 1.39059711105295 \tabularnewline
0.865 & 125.884036038926 & 1.36210437661145 \tabularnewline
0.87 & 126.053356475964 & 1.33227076991890 \tabularnewline
0.875 & 126.221526685021 & 1.30096669136786 \tabularnewline
0.88 & 126.388489326871 & 1.26822423198237 \tabularnewline
0.885 & 126.554203009837 & 1.23428747467212 \tabularnewline
0.89 & 126.718652395301 & 1.19934609174469 \tabularnewline
0.895 & 126.881858329318 & 1.16381052158207 \tabularnewline
0.9 & 127.043888400209 & 1.12807890480427 \tabularnewline
0.905 & 127.204868881053 & 1.09250479990286 \tabularnewline
0.91 & 127.364999502214 & 1.0574560133829 \tabularnewline
0.915 & 127.524572731311 & 1.02317855601572 \tabularnewline
0.92 & 127.683998984913 & 0.989855178983426 \tabularnewline
0.925 & 127.843838179441 & 0.957836998502303 \tabularnewline
0.93 & 128.004835926996 & 0.927385397790715 \tabularnewline
0.935 & 128.167959140822 & 0.899159415167424 \tabularnewline
0.94 & 128.334420489981 & 0.87399778494334 \tabularnewline
0.945 & 128.505673832044 & 0.853181670024479 \tabularnewline
0.95 & 128.683353721674 & 0.838041331164226 \tabularnewline
0.955 & 128.869122702977 & 0.829720862320525 \tabularnewline
0.96 & 129.064383784473 & 0.828786143172519 \tabularnewline
0.965 & 129.269818937274 & 0.834910612171043 \tabularnewline
0.97 & 129.484738200752 & 0.847187047126726 \tabularnewline
0.975 & 129.706281223552 & 0.86443674221735 \tabularnewline
0.98 & 129.928614482273 & 0.885754698278527 \tabularnewline
0.985 & 130.142410061373 & 0.910513610942864 \tabularnewline
0.99 & 130.335042235918 & 0.937401742657 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20177&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]96.9104075109838[/C][C]1.413577124856[/C][/ROW]
[ROW][C]0.015[/C][C]97.218848443535[/C][C]1.45151421719319[/C][/ROW]
[ROW][C]0.02[/C][C]97.569892356051[/C][C]1.49445501516001[/C][/ROW]
[ROW][C]0.025[/C][C]97.9442952850385[/C][C]1.53135964211001[/C][/ROW]
[ROW][C]0.03[/C][C]98.3263439370843[/C][C]1.55423207278044[/C][/ROW]
[ROW][C]0.035[/C][C]98.7045731436613[/C][C]1.56015283906562[/C][/ROW]
[ROW][C]0.04[/C][C]99.0714947966889[/C][C]1.55109384353091[/C][/ROW]
[ROW][C]0.045[/C][C]99.4228698998249[/C][C]1.53179090036155[/C][/ROW]
[ROW][C]0.05[/C][C]99.7568768195132[/C][C]1.50790768702702[/C][/ROW]
[ROW][C]0.055[/C][C]100.073360509431[/C][C]1.48452206635970[/C][/ROW]
[ROW][C]0.06[/C][C]100.373230374238[/C][C]1.46548113563265[/C][/ROW]
[ROW][C]0.065[/C][C]100.658010097415[/C][C]1.45284232512991[/C][/ROW]
[ROW][C]0.07[/C][C]100.929516319629[/C][C]1.44738889397348[/C][/ROW]
[ROW][C]0.075[/C][C]101.189637755393[/C][C]1.44879921561837[/C][/ROW]
[ROW][C]0.08[/C][C]101.440189837325[/C][C]1.45610156867480[/C][/ROW]
[ROW][C]0.085[/C][C]101.682825395153[/C][C]1.46808008958534[/C][/ROW]
[ROW][C]0.09[/C][C]101.918986435577[/C][C]1.48360486887915[/C][/ROW]
[ROW][C]0.095[/C][C]102.149885307622[/C][C]1.50151900840052[/C][/ROW]
[ROW][C]0.1[/C][C]102.376505825981[/C][C]1.52100697412506[/C][/ROW]
[ROW][C]0.105[/C][C]102.599616790317[/C][C]1.54119336130908[/C][/ROW]
[ROW][C]0.11[/C][C]102.819792083038[/C][C]1.56149759483998[/C][/ROW]
[ROW][C]0.115[/C][C]103.037433220618[/C][C]1.58119044587610[/C][/ROW]
[ROW][C]0.12[/C][C]103.252791798877[/C][C]1.59971345844648[/C][/ROW]
[ROW][C]0.125[/C][C]103.465990591727[/C][C]1.61639749717794[/C][/ROW]
[ROW][C]0.13[/C][C]103.677043042065[/C][C]1.63057675716058[/C][/ROW]
[ROW][C]0.135[/C][C]103.885871486752[/C][C]1.64157797449708[/C][/ROW]
[ROW][C]0.14[/C][C]104.092324708205[/C][C]1.64880222981384[/C][/ROW]
[ROW][C]0.145[/C][C]104.296195371713[/C][C]1.65185381739907[/C][/ROW]
[ROW][C]0.15[/C][C]104.497237683014[/C][C]1.65037588719833[/C][/ROW]
[ROW][C]0.155[/C][C]104.695185282673[/C][C]1.64428344340704[/C][/ROW]
[ROW][C]0.16[/C][C]104.889769069374[/C][C]1.63373459944039[/C][/ROW]
[ROW][C]0.165[/C][C]105.080734379847[/C][C]1.61888441468026[/C][/ROW]
[ROW][C]0.17[/C][C]105.267856790631[/C][C]1.60043121566211[/C][/ROW]
[ROW][C]0.175[/C][C]105.450955763440[/C][C]1.57907116624447[/C][/ROW]
[ROW][C]0.18[/C][C]105.629905427221[/C][C]1.55539178313408[/C][/ROW]
[ROW][C]0.185[/C][C]105.804641956283[/C][C]1.530460146717[/C][/ROW]
[ROW][C]0.19[/C][C]105.975167234685[/C][C]1.50519941494363[/C][/ROW]
[ROW][C]0.195[/C][C]106.141548758710[/C][C]1.48038903775819[/C][/ROW]
[ROW][C]0.2[/C][C]106.303915988457[/C][C]1.45700011181293[/C][/ROW]
[ROW][C]0.205[/C][C]106.462453588666[/C][C]1.43549782139837[/C][/ROW]
[ROW][C]0.21[/C][C]106.617392177092[/C][C]1.41645659895809[/C][/ROW]
[ROW][C]0.215[/C][C]106.768997314178[/C][C]1.40027737001337[/C][/ROW]
[ROW][C]0.22[/C][C]106.917557516701[/C][C]1.38704400223754[/C][/ROW]
[ROW][C]0.225[/C][C]107.063372064019[/C][C]1.37671611765015[/C][/ROW]
[ROW][C]0.23[/C][C]107.206739297793[/C][C]1.36927679044512[/C][/ROW]
[ROW][C]0.235[/C][C]107.347946007302[/C][C]1.36429110954430[/C][/ROW]
[ROW][C]0.24[/C][C]107.487258357340[/C][C]1.36131898124631[/C][/ROW]
[ROW][C]0.245[/C][C]107.624914668553[/C][C]1.36006302704991[/C][/ROW]
[ROW][C]0.25[/C][C]107.761120214015[/C][C]1.36000935051424[/C][/ROW]
[ROW][C]0.255[/C][C]107.896044061568[/C][C]1.36065909950454[/C][/ROW]
[ROW][C]0.26[/C][C]108.029817876625[/C][C]1.36163767931639[/C][/ROW]
[ROW][C]0.265[/C][C]108.162536509681[/C][C]1.36245568659389[/C][/ROW]
[ROW][C]0.27[/C][C]108.294260128485[/C][C]1.36282340875842[/C][/ROW]
[ROW][C]0.275[/C][C]108.425017616256[/C][C]1.36244112729522[/C][/ROW]
[ROW][C]0.28[/C][C]108.554810942155[/C][C]1.36105936380117[/C][/ROW]
[ROW][C]0.285[/C][C]108.683620214675[/C][C]1.35868556927486[/C][/ROW]
[ROW][C]0.29[/C][C]108.811409148407[/C][C]1.35496192937650[/C][/ROW]
[ROW][C]0.295[/C][C]108.938130705009[/C][C]1.34999718693981[/C][/ROW]
[ROW][C]0.3[/C][C]109.063732705884[/C][C]1.34378270841334[/C][/ROW]
[ROW][C]0.305[/C][C]109.188163252878[/C][C]1.33640096476070[/C][/ROW]
[ROW][C]0.31[/C][C]109.311375831182[/C][C]1.32813194145307[/C][/ROW]
[ROW][C]0.315[/C][C]109.433334002795[/C][C]1.31898572974485[/C][/ROW]
[ROW][C]0.32[/C][C]109.554015627935[/C][C]1.30926976908276[/C][/ROW]
[ROW][C]0.325[/C][C]109.673416574509[/C][C]1.29924383807347[/C][/ROW]
[ROW][C]0.33[/C][C]109.791553892087[/C][C]1.28921638122194[/C][/ROW]
[ROW][C]0.335[/C][C]109.908468437039[/C][C]1.27941937294574[/C][/ROW]
[ROW][C]0.34[/C][C]110.024226940482[/C][C]1.27031950359442[/C][/ROW]
[ROW][C]0.345[/C][C]110.138923511551[/C][C]1.26220490282938[/C][/ROW]
[ROW][C]0.35[/C][C]110.252680566693[/C][C]1.25548010517197[/C][/ROW]
[ROW][C]0.355[/C][C]110.365649172673[/C][C]1.25046948782222[/C][/ROW]
[ROW][C]0.36[/C][C]110.478008788149[/C][C]1.24757470177368[/C][/ROW]
[ROW][C]0.365[/C][C]110.589966387443[/C][C]1.24721460404780[/C][/ROW]
[ROW][C]0.37[/C][C]110.701754951505[/C][C]1.24977082150474[/C][/ROW]
[ROW][C]0.375[/C][C]110.813631315854[/C][C]1.25551714403385[/C][/ROW]
[ROW][C]0.38[/C][C]110.925873373930[/C][C]1.26480456481766[/C][/ROW]
[ROW][C]0.385[/C][C]111.038776646865[/C][C]1.27792062779544[/C][/ROW]
[ROW][C]0.39[/C][C]111.152650246760[/C][C]1.29499026127355[/C][/ROW]
[ROW][C]0.395[/C][C]111.267812279596[/C][C]1.31619938630725[/C][/ROW]
[ROW][C]0.4[/C][C]111.384584754766[/C][C]1.34159876760088[/C][/ROW]
[ROW][C]0.405[/C][C]111.503288089754[/C][C]1.37103224434028[/C][/ROW]
[ROW][C]0.41[/C][C]111.624235319239[/C][C]1.40454071716419[/C][/ROW]
[ROW][C]0.415[/C][C]111.747726136493[/C][C]1.44178335218207[/C][/ROW]
[ROW][C]0.42[/C][C]111.874040909925[/C][C]1.48251390200378[/C][/ROW]
[ROW][C]0.425[/C][C]112.003434827859[/C][C]1.52610303959678[/C][/ROW]
[ROW][C]0.43[/C][C]112.13613232901[/C][C]1.57235930272245[/C][/ROW]
[ROW][C]0.435[/C][C]112.272321974217[/C][C]1.62051928871111[/C][/ROW]
[ROW][C]0.44[/C][C]112.412151906294[/C][C]1.67010977633099[/C][/ROW]
[ROW][C]0.445[/C][C]112.555726029782[/C][C]1.72053744975648[/C][/ROW]
[ROW][C]0.45[/C][C]112.703101021289[/C][C]1.77111809743770[/C][/ROW]
[ROW][C]0.455[/C][C]112.854284255121[/C][C]1.82096335299445[/C][/ROW]
[ROW][C]0.46[/C][C]113.009232699158[/C][C]1.86971453448949[/C][/ROW]
[ROW][C]0.465[/C][C]113.167852804081[/C][C]1.91645821992310[/C][/ROW]
[ROW][C]0.47[/C][C]113.330001376656[/C][C]1.96081537960749[/C][/ROW]
[ROW][C]0.475[/C][C]113.495487396574[/C][C]2.00205350950319[/C][/ROW]
[ROW][C]0.48[/C][C]113.664074707991[/C][C]2.03957530566256[/C][/ROW]
[ROW][C]0.485[/C][C]113.835485492700[/C][C]2.07309562703854[/C][/ROW]
[ROW][C]0.49[/C][C]114.009404413114[/C][C]2.1022650311393[/C][/ROW]
[ROW][C]0.495[/C][C]114.185483300564[/C][C]2.12649199155223[/C][/ROW]
[ROW][C]0.5[/C][C]114.363346258313[/C][C]2.14572034032505[/C][/ROW]
[ROW][C]0.505[/C][C]114.542595049039[/C][C]2.15963755578202[/C][/ROW]
[ROW][C]0.51[/C][C]114.722814642916[/C][C]2.16820631367376[/C][/ROW]
[ROW][C]0.515[/C][C]114.903578813945[/C][C]2.17125600303523[/C][/ROW]
[ROW][C]0.52[/C][C]115.084455687799[/C][C]2.16895463229158[/C][/ROW]
[ROW][C]0.525[/C][C]115.265013162663[/C][C]2.16119525836962[/C][/ROW]
[ROW][C]0.53[/C][C]115.444824144006[/C][C]2.14826721237327[/C][/ROW]
[ROW][C]0.535[/C][C]115.623471553400[/C][C]2.13024652694848[/C][/ROW]
[ROW][C]0.54[/C][C]115.800553088997[/C][C]2.10737475502788[/C][/ROW]
[ROW][C]0.545[/C][C]115.975685729960[/C][C]2.07984065426121[/C][/ROW]
[ROW][C]0.55[/C][C]116.148509988074[/C][C]2.04803094096664[/C][/ROW]
[ROW][C]0.555[/C][C]116.318693916373[/C][C]2.01225885393742[/C][/ROW]
[ROW][C]0.56[/C][C]116.485936886725[/C][C]1.97286273748242[/C][/ROW]
[ROW][C]0.565[/C][C]116.649973145953[/C][C]1.93030681861269[/C][/ROW]
[ROW][C]0.57[/C][C]116.810575153863[/C][C]1.88498735757987[/C][/ROW]
[ROW][C]0.575[/C][C]116.967556697027[/C][C]1.83730281829573[/C][/ROW]
[ROW][C]0.58[/C][C]117.120775760473[/C][C]1.78781799621143[/C][/ROW]
[ROW][C]0.585[/C][C]117.270137126452[/C][C]1.73712119564756[/C][/ROW]
[ROW][C]0.59[/C][C]117.415594656409[/C][C]1.68567911718665[/C][/ROW]
[ROW][C]0.595[/C][C]117.557153200113[/C][C]1.63408019598564[/C][/ROW]
[ROW][C]0.6[/C][C]117.694870065656[/C][C]1.58291860584398[/C][/ROW]
[ROW][C]0.605[/C][C]117.828855976393[/C][C]1.53289220008846[/C][/ROW]
[ROW][C]0.61[/C][C]117.959275436488[/C][C]1.48457577562120[/C][/ROW]
[ROW][C]0.615[/C][C]118.086346425930[/C][C]1.43871949600222[/C][/ROW]
[ROW][C]0.62[/C][C]118.210339348881[/C][C]1.39584277203648[/C][/ROW]
[ROW][C]0.625[/C][C]118.331575165994[/C][C]1.35676344406666[/C][/ROW]
[ROW][C]0.63[/C][C]118.450422651915[/C][C]1.32204178323727[/C][/ROW]
[ROW][C]0.635[/C][C]118.567294733237[/C][C]1.29226581069367[/C][/ROW]
[ROW][C]0.64[/C][C]118.682643879642[/C][C]1.26810559095891[/C][/ROW]
[ROW][C]0.645[/C][C]118.796956541566[/C][C]1.24987068405059[/C][/ROW]
[ROW][C]0.65[/C][C]118.910746651237[/C][C]1.23803957043196[/C][/ROW]
[ROW][C]0.655[/C][C]119.024548230248[/C][C]1.23279777955453[/C][/ROW]
[ROW][C]0.66[/C][C]119.138907175538[/C][C]1.23449666675269[/C][/ROW]
[ROW][C]0.665[/C][C]119.254372326613[/C][C]1.24296723666111[/C][/ROW]
[ROW][C]0.67[/C][C]119.371485949418[/C][C]1.25815185090844[/C][/ROW]
[ROW][C]0.675[/C][C]119.490773805791[/C][C]1.27965263817588[/C][/ROW]
[ROW][C]0.68[/C][C]119.612735011004[/C][C]1.30708032393895[/C][/ROW]
[ROW][C]0.685[/C][C]119.737831913964[/C][C]1.33980966226050[/C][/ROW]
[ROW][C]0.69[/C][C]119.866480263785[/C][C]1.37720606138498[/C][/ROW]
[ROW][C]0.695[/C][C]119.999039950340[/C][C]1.41836099377873[/C][/ROW]
[ROW][C]0.7[/C][C]120.135806623067[/C][C]1.46241278102001[/C][/ROW]
[ROW][C]0.705[/C][C]120.277004499017[/C][C]1.50837025722892[/C][/ROW]
[ROW][C]0.71[/C][C]120.422780665740[/C][C]1.55525464389161[/C][/ROW]
[ROW][C]0.715[/C][C]120.573201164832[/C][C]1.60194396016495[/C][/ROW]
[ROW][C]0.72[/C][C]120.728249106231[/C][C]1.64754525010277[/C][/ROW]
[ROW][C]0.725[/C][C]120.887825010665[/C][C]1.69086340005076[/C][/ROW]
[ROW][C]0.73[/C][C]121.051749508277[/C][C]1.73103654930025[/C][/ROW]
[ROW][C]0.735[/C][C]121.219768436401[/C][C]1.76716110628030[/C][/ROW]
[ROW][C]0.74[/C][C]121.391560281516[/C][C]1.79851209913415[/C][/ROW]
[ROW][C]0.745[/C][C]121.566745803359[/C][C]1.82441378760898[/C][/ROW]
[ROW][C]0.75[/C][C]121.744899568216[/C][C]1.84440029383097[/C][/ROW]
[ROW][C]0.755[/C][C]121.925563009854[/C][C]1.85802933734499[/C][/ROW]
[ROW][C]0.76[/C][C]122.10825853739[/C][C]1.86535730727208[/C][/ROW]
[ROW][C]0.765[/C][C]122.292504127059[/C][C]1.86631521898401[/C][/ROW]
[ROW][C]0.77[/C][C]122.477827776505[/C][C]1.86108455635199[/C][/ROW]
[ROW][C]0.775[/C][C]122.663781172485[/C][C]1.85016805793281[/C][/ROW]
[ROW][C]0.78[/C][C]122.849951930818[/C][C]1.83405759719862[/C][/ROW]
[ROW][C]0.785[/C][C]123.035973814380[/C][C]1.81336218250687[/C][/ROW]
[ROW][C]0.79[/C][C]123.221534421805[/C][C]1.78899058583577[/C][/ROW]
[ROW][C]0.795[/C][C]123.406379964425[/C][C]1.76170087104726[/C][/ROW]
[ROW][C]0.8[/C][C]123.590316906991[/C][C]1.73234601649855[/C][/ROW]
[ROW][C]0.805[/C][C]123.773210431039[/C][C]1.70177375056030[/C][/ROW]
[ROW][C]0.81[/C][C]123.954979877657[/C][C]1.67066627719580[/C][/ROW]
[ROW][C]0.815[/C][C]124.135591525989[/C][C]1.63971372930618[/C][/ROW]
[ROW][C]0.82[/C][C]124.315049250306[/C][C]1.6092867288419[/C][/ROW]
[ROW][C]0.825[/C][C]124.493383756526[/C][C]1.57977375772550[/C][/ROW]
[ROW][C]0.83[/C][C]124.670641213704[/C][C]1.55130447633746[/C][/ROW]
[ROW][C]0.835[/C][C]124.846872153776[/C][C]1.52382617630216[/C][/ROW]
[ROW][C]0.84[/C][C]125.022121503687[/C][C]1.49705837746874[/C][/ROW]
[ROW][C]0.845[/C][C]125.196420532466[/C][C]1.47081733539974[/C][/ROW]
[ROW][C]0.85[/C][C]125.369781342561[/C][C]1.44461739638106[/C][/ROW]
[ROW][C]0.855[/C][C]125.542194318550[/C][C]1.41796861120888[/C][/ROW]
[ROW][C]0.86[/C][C]125.713628684336[/C][C]1.39059711105295[/C][/ROW]
[ROW][C]0.865[/C][C]125.884036038926[/C][C]1.36210437661145[/C][/ROW]
[ROW][C]0.87[/C][C]126.053356475964[/C][C]1.33227076991890[/C][/ROW]
[ROW][C]0.875[/C][C]126.221526685021[/C][C]1.30096669136786[/C][/ROW]
[ROW][C]0.88[/C][C]126.388489326871[/C][C]1.26822423198237[/C][/ROW]
[ROW][C]0.885[/C][C]126.554203009837[/C][C]1.23428747467212[/C][/ROW]
[ROW][C]0.89[/C][C]126.718652395301[/C][C]1.19934609174469[/C][/ROW]
[ROW][C]0.895[/C][C]126.881858329318[/C][C]1.16381052158207[/C][/ROW]
[ROW][C]0.9[/C][C]127.043888400209[/C][C]1.12807890480427[/C][/ROW]
[ROW][C]0.905[/C][C]127.204868881053[/C][C]1.09250479990286[/C][/ROW]
[ROW][C]0.91[/C][C]127.364999502214[/C][C]1.0574560133829[/C][/ROW]
[ROW][C]0.915[/C][C]127.524572731311[/C][C]1.02317855601572[/C][/ROW]
[ROW][C]0.92[/C][C]127.683998984913[/C][C]0.989855178983426[/C][/ROW]
[ROW][C]0.925[/C][C]127.843838179441[/C][C]0.957836998502303[/C][/ROW]
[ROW][C]0.93[/C][C]128.004835926996[/C][C]0.927385397790715[/C][/ROW]
[ROW][C]0.935[/C][C]128.167959140822[/C][C]0.899159415167424[/C][/ROW]
[ROW][C]0.94[/C][C]128.334420489981[/C][C]0.87399778494334[/C][/ROW]
[ROW][C]0.945[/C][C]128.505673832044[/C][C]0.853181670024479[/C][/ROW]
[ROW][C]0.95[/C][C]128.683353721674[/C][C]0.838041331164226[/C][/ROW]
[ROW][C]0.955[/C][C]128.869122702977[/C][C]0.829720862320525[/C][/ROW]
[ROW][C]0.96[/C][C]129.064383784473[/C][C]0.828786143172519[/C][/ROW]
[ROW][C]0.965[/C][C]129.269818937274[/C][C]0.834910612171043[/C][/ROW]
[ROW][C]0.97[/C][C]129.484738200752[/C][C]0.847187047126726[/C][/ROW]
[ROW][C]0.975[/C][C]129.706281223552[/C][C]0.86443674221735[/C][/ROW]
[ROW][C]0.98[/C][C]129.928614482273[/C][C]0.885754698278527[/C][/ROW]
[ROW][C]0.985[/C][C]130.142410061373[/C][C]0.910513610942864[/C][/ROW]
[ROW][C]0.99[/C][C]130.335042235918[/C][C]0.937401742657[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20177&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
0.0196.91040751098381.413577124856
0.01597.2188484435351.45151421719319
0.0297.5698923560511.49445501516001
0.02597.94429528503851.53135964211001
0.0398.32634393708431.55423207278044
0.03598.70457314366131.56015283906562
0.0499.07149479668891.55109384353091
0.04599.42286989982491.53179090036155
0.0599.75687681951321.50790768702702
0.055100.0733605094311.48452206635970
0.06100.3732303742381.46548113563265
0.065100.6580100974151.45284232512991
0.07100.9295163196291.44738889397348
0.075101.1896377553931.44879921561837
0.08101.4401898373251.45610156867480
0.085101.6828253951531.46808008958534
0.09101.9189864355771.48360486887915
0.095102.1498853076221.50151900840052
0.1102.3765058259811.52100697412506
0.105102.5996167903171.54119336130908
0.11102.8197920830381.56149759483998
0.115103.0374332206181.58119044587610
0.12103.2527917988771.59971345844648
0.125103.4659905917271.61639749717794
0.13103.6770430420651.63057675716058
0.135103.8858714867521.64157797449708
0.14104.0923247082051.64880222981384
0.145104.2961953717131.65185381739907
0.15104.4972376830141.65037588719833
0.155104.6951852826731.64428344340704
0.16104.8897690693741.63373459944039
0.165105.0807343798471.61888441468026
0.17105.2678567906311.60043121566211
0.175105.4509557634401.57907116624447
0.18105.6299054272211.55539178313408
0.185105.8046419562831.530460146717
0.19105.9751672346851.50519941494363
0.195106.1415487587101.48038903775819
0.2106.3039159884571.45700011181293
0.205106.4624535886661.43549782139837
0.21106.6173921770921.41645659895809
0.215106.7689973141781.40027737001337
0.22106.9175575167011.38704400223754
0.225107.0633720640191.37671611765015
0.23107.2067392977931.36927679044512
0.235107.3479460073021.36429110954430
0.24107.4872583573401.36131898124631
0.245107.6249146685531.36006302704991
0.25107.7611202140151.36000935051424
0.255107.8960440615681.36065909950454
0.26108.0298178766251.36163767931639
0.265108.1625365096811.36245568659389
0.27108.2942601284851.36282340875842
0.275108.4250176162561.36244112729522
0.28108.5548109421551.36105936380117
0.285108.6836202146751.35868556927486
0.29108.8114091484071.35496192937650
0.295108.9381307050091.34999718693981
0.3109.0637327058841.34378270841334
0.305109.1881632528781.33640096476070
0.31109.3113758311821.32813194145307
0.315109.4333340027951.31898572974485
0.32109.5540156279351.30926976908276
0.325109.6734165745091.29924383807347
0.33109.7915538920871.28921638122194
0.335109.9084684370391.27941937294574
0.34110.0242269404821.27031950359442
0.345110.1389235115511.26220490282938
0.35110.2526805666931.25548010517197
0.355110.3656491726731.25046948782222
0.36110.4780087881491.24757470177368
0.365110.5899663874431.24721460404780
0.37110.7017549515051.24977082150474
0.375110.8136313158541.25551714403385
0.38110.9258733739301.26480456481766
0.385111.0387766468651.27792062779544
0.39111.1526502467601.29499026127355
0.395111.2678122795961.31619938630725
0.4111.3845847547661.34159876760088
0.405111.5032880897541.37103224434028
0.41111.6242353192391.40454071716419
0.415111.7477261364931.44178335218207
0.42111.8740409099251.48251390200378
0.425112.0034348278591.52610303959678
0.43112.136132329011.57235930272245
0.435112.2723219742171.62051928871111
0.44112.4121519062941.67010977633099
0.445112.5557260297821.72053744975648
0.45112.7031010212891.77111809743770
0.455112.8542842551211.82096335299445
0.46113.0092326991581.86971453448949
0.465113.1678528040811.91645821992310
0.47113.3300013766561.96081537960749
0.475113.4954873965742.00205350950319
0.48113.6640747079912.03957530566256
0.485113.8354854927002.07309562703854
0.49114.0094044131142.1022650311393
0.495114.1854833005642.12649199155223
0.5114.3633462583132.14572034032505
0.505114.5425950490392.15963755578202
0.51114.7228146429162.16820631367376
0.515114.9035788139452.17125600303523
0.52115.0844556877992.16895463229158
0.525115.2650131626632.16119525836962
0.53115.4448241440062.14826721237327
0.535115.6234715534002.13024652694848
0.54115.8005530889972.10737475502788
0.545115.9756857299602.07984065426121
0.55116.1485099880742.04803094096664
0.555116.3186939163732.01225885393742
0.56116.4859368867251.97286273748242
0.565116.6499731459531.93030681861269
0.57116.8105751538631.88498735757987
0.575116.9675566970271.83730281829573
0.58117.1207757604731.78781799621143
0.585117.2701371264521.73712119564756
0.59117.4155946564091.68567911718665
0.595117.5571532001131.63408019598564
0.6117.6948700656561.58291860584398
0.605117.8288559763931.53289220008846
0.61117.9592754364881.48457577562120
0.615118.0863464259301.43871949600222
0.62118.2103393488811.39584277203648
0.625118.3315751659941.35676344406666
0.63118.4504226519151.32204178323727
0.635118.5672947332371.29226581069367
0.64118.6826438796421.26810559095891
0.645118.7969565415661.24987068405059
0.65118.9107466512371.23803957043196
0.655119.0245482302481.23279777955453
0.66119.1389071755381.23449666675269
0.665119.2543723266131.24296723666111
0.67119.3714859494181.25815185090844
0.675119.4907738057911.27965263817588
0.68119.6127350110041.30708032393895
0.685119.7378319139641.33980966226050
0.69119.8664802637851.37720606138498
0.695119.9990399503401.41836099377873
0.7120.1358066230671.46241278102001
0.705120.2770044990171.50837025722892
0.71120.4227806657401.55525464389161
0.715120.5732011648321.60194396016495
0.72120.7282491062311.64754525010277
0.725120.8878250106651.69086340005076
0.73121.0517495082771.73103654930025
0.735121.2197684364011.76716110628030
0.74121.3915602815161.79851209913415
0.745121.5667458033591.82441378760898
0.75121.7448995682161.84440029383097
0.755121.9255630098541.85802933734499
0.76122.108258537391.86535730727208
0.765122.2925041270591.86631521898401
0.77122.4778277765051.86108455635199
0.775122.6637811724851.85016805793281
0.78122.8499519308181.83405759719862
0.785123.0359738143801.81336218250687
0.79123.2215344218051.78899058583577
0.795123.4063799644251.76170087104726
0.8123.5903169069911.73234601649855
0.805123.7732104310391.70177375056030
0.81123.9549798776571.67066627719580
0.815124.1355915259891.63971372930618
0.82124.3150492503061.6092867288419
0.825124.4933837565261.57977375772550
0.83124.6706412137041.55130447633746
0.835124.8468721537761.52382617630216
0.84125.0221215036871.49705837746874
0.845125.1964205324661.47081733539974
0.85125.3697813425611.44461739638106
0.855125.5421943185501.41796861120888
0.86125.7136286843361.39059711105295
0.865125.8840360389261.36210437661145
0.87126.0533564759641.33227076991890
0.875126.2215266850211.30096669136786
0.88126.3884893268711.26822423198237
0.885126.5542030098371.23428747467212
0.89126.7186523953011.19934609174469
0.895126.8818583293181.16381052158207
0.9127.0438884002091.12807890480427
0.905127.2048688810531.09250479990286
0.91127.3649995022141.0574560133829
0.915127.5245727313111.02317855601572
0.92127.6839989849130.989855178983426
0.925127.8438381794410.957836998502303
0.93128.0048359269960.927385397790715
0.935128.1679591408220.899159415167424
0.94128.3344204899810.87399778494334
0.945128.5056738320440.853181670024479
0.95128.6833537216740.838041331164226
0.955128.8691227029770.829720862320525
0.96129.0643837844730.828786143172519
0.965129.2698189372740.834910612171043
0.97129.4847382007520.847187047126726
0.975129.7062812235520.86443674221735
0.98129.9286144822730.885754698278527
0.985130.1424100613730.910513610942864
0.99130.3350422359180.937401742657


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')