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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 computationFri, 09 Oct 2015 12:38:12 +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/2015/Oct/09/t1444390791jt98jhyysjk86b7.htm/, Retrieved Tue, 14 May 2024 01:56:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281859, Retrieved Tue, 14 May 2024 01:56:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [] [2015-10-09 11:38:12] [e9dd6d750d12fbfd669e11323be8eb07] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82.75
83.4
84.12
83.88
83.61
83.58
83.58
83.27
83.59
83.64
83.72
83.88
83.61
85.36
87.2
88.28
88.64
88.67
88.34
89.21
89.55
89.65
88.43
91.15
94.11
96.78
97.94
97.57
96.48
96.18
95
93.84
95.54
94.06
93.92
92.55
93.88
92.19
91.42
91.39
89.12
90.27
91.76
95.68
97.54
98.47
100.11
99.9
101.11
98.86
102.71
102.02
100.61
100.62
99.51
98.63
97.44
96.5
94.3
92.92
96.07
95
93.27
91.94
91.62
91.01
90.62
97.72
99.09
99.72
100.22
99.15
101.16
101.8
103.31
101.19
99.09
95.91
94.56
95.76
100.36
102.67
103.58
100.89
103.46
104.86
104.88
104.46
103.83
101
99.36
96.71
95.23
95.62
95.8
94.79
95.39
94.9
94.84
94.68
94.17
94.1
93.84
94.2
97.76
98.26
99.63
98.75

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281859&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281859&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.9908038210870.3612080324526
0.0283.25914262480540.217372678620966
0.0383.42948895587630.140317173966762
0.0483.52611815443280.100134186577559
0.0583.59121400675310.107489073513002
0.0683.65830052031090.185572008597152
0.0783.75821926420660.34432264106792
0.0883.92122937845540.589665904086319
0.0984.17381388185550.908580631071143
0.184.53207048254681.25928007952175
0.1184.99495660658561.57907015792383
0.1285.54174053598151.8051389193179
0.1386.13621690202941.89895830198182
0.1486.73649142715071.86019506749962
0.1587.30612518566761.72308746310701
0.1687.82206875386681.5403571749014
0.1788.27694594065681.36368674348399
0.1888.67615493834061.22773153256247
0.1989.03220197510111.14425776643089
0.289.35899225459241.10547445040077
0.2189.66789351566781.09351437663362
0.2289.96611795251871.09105947682277
0.2390.25700207255611.0870233100792
0.2490.54133345557741.07701055730705
0.2590.81888673936531.06267164383586
0.2691.08958450059021.04809486498371
0.2791.35401784919371.03819668612999
0.2891.61334224174381.03471991179094
0.2991.86875630370141.03631816126506
0.392.12085749957641.03775769801337
0.3192.36915247924541.03289560807387
0.3292.61190554105191.0156157978642
0.3392.8463747398630.981766831083959
0.3493.06935594766070.931076638218466
0.3593.27786771259080.866344219344914
0.3693.46978387043040.792941833576653
0.3793.64425521102940.717460887302873
0.3893.80183688128760.647353355464367
0.3993.94432606787260.587450954835278
0.494.07438725870440.541774134014253
0.4194.19508176449340.510823090050099
0.4294.3094192059510.493069738500038
0.4394.42001868051980.485775783840527
0.4494.52892135261050.485439263427149
0.4594.63755088049230.489201553106256
0.4694.7467861667970.495133422530104
0.4794.85709808270470.501664377119534
0.4894.96870625501780.508206486690833
0.4995.08172653344510.514796942623018
0.595.19629547440860.52182086863443
0.5195.3126682346120.529910759417584
0.5295.43128828026740.54008575815454
0.5395.55282361696370.553606979243822
0.5495.6781600317360.571506887234823
0.5595.80834225961580.594515089202396
0.5695.94446153083290.622621211723345
0.5796.0875012811330.654796775637041
0.5896.23816734111970.689352558001819
0.5996.39673875953840.723775933083325
0.696.56297568843790.755165857797142
0.6196.73610960064460.781326837787617
0.6296.91492069953540.799997673176363
0.6397.09788370278820.810568115282347
0.6497.28334438068080.812960005795458
0.6597.46968273852710.808018269491409
0.6697.65542797509680.796779612756981
0.6797.83931245347230.780464183974577
0.6898.02027797722670.760136384091288
0.6998.19746611107520.736376378910967
0.798.37022630045570.709986213172324
0.7198.53815978881810.681923420291818
0.7298.70119122366590.653540417540484
0.7398.85963623056850.626976918249767
0.7499.01422396774650.603897192718548
0.7599.16604356950140.585833575379777
0.7699.31640800870130.573421413215784
0.7799.46665738408640.566284415517597
0.7899.61794479688880.562940587178484
0.7999.77105625742320.561590945319397
0.899.92631382436070.559992917085326
0.81100.0836059277420.556169512025111
0.82100.2425858387410.549440717839686
0.83100.4030724376460.54019209086106
0.84100.5656543417020.531296619236228
0.85100.7324089514990.527920618355712
0.86100.9074943952830.537517830863016
0.87101.0972121609270.566936492371276
0.88101.3091096805530.618472516748861
0.89101.5499501094830.685019565994015
0.9101.8229490632750.750535813049983
0.91102.1253619642440.794277254194442
0.92102.4479553399480.798525038741261
0.93102.7778205050680.757147253219615
0.94103.1050267453170.682777748491299
0.95103.4308224717090.609227945146434
0.96103.7696726240190.575169969174313
0.97104.1331092796280.568422632738471
0.98104.4939119390880.49051119503752
0.99104.7679399064030.258377903841528

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.990803821087 & 0.3612080324526 \tabularnewline
0.02 & 83.2591426248054 & 0.217372678620966 \tabularnewline
0.03 & 83.4294889558763 & 0.140317173966762 \tabularnewline
0.04 & 83.5261181544328 & 0.100134186577559 \tabularnewline
0.05 & 83.5912140067531 & 0.107489073513002 \tabularnewline
0.06 & 83.6583005203109 & 0.185572008597152 \tabularnewline
0.07 & 83.7582192642066 & 0.34432264106792 \tabularnewline
0.08 & 83.9212293784554 & 0.589665904086319 \tabularnewline
0.09 & 84.1738138818555 & 0.908580631071143 \tabularnewline
0.1 & 84.5320704825468 & 1.25928007952175 \tabularnewline
0.11 & 84.9949566065856 & 1.57907015792383 \tabularnewline
0.12 & 85.5417405359815 & 1.8051389193179 \tabularnewline
0.13 & 86.1362169020294 & 1.89895830198182 \tabularnewline
0.14 & 86.7364914271507 & 1.86019506749962 \tabularnewline
0.15 & 87.3061251856676 & 1.72308746310701 \tabularnewline
0.16 & 87.8220687538668 & 1.5403571749014 \tabularnewline
0.17 & 88.2769459406568 & 1.36368674348399 \tabularnewline
0.18 & 88.6761549383406 & 1.22773153256247 \tabularnewline
0.19 & 89.0322019751011 & 1.14425776643089 \tabularnewline
0.2 & 89.3589922545924 & 1.10547445040077 \tabularnewline
0.21 & 89.6678935156678 & 1.09351437663362 \tabularnewline
0.22 & 89.9661179525187 & 1.09105947682277 \tabularnewline
0.23 & 90.2570020725561 & 1.0870233100792 \tabularnewline
0.24 & 90.5413334555774 & 1.07701055730705 \tabularnewline
0.25 & 90.8188867393653 & 1.06267164383586 \tabularnewline
0.26 & 91.0895845005902 & 1.04809486498371 \tabularnewline
0.27 & 91.3540178491937 & 1.03819668612999 \tabularnewline
0.28 & 91.6133422417438 & 1.03471991179094 \tabularnewline
0.29 & 91.8687563037014 & 1.03631816126506 \tabularnewline
0.3 & 92.1208574995764 & 1.03775769801337 \tabularnewline
0.31 & 92.3691524792454 & 1.03289560807387 \tabularnewline
0.32 & 92.6119055410519 & 1.0156157978642 \tabularnewline
0.33 & 92.846374739863 & 0.981766831083959 \tabularnewline
0.34 & 93.0693559476607 & 0.931076638218466 \tabularnewline
0.35 & 93.2778677125908 & 0.866344219344914 \tabularnewline
0.36 & 93.4697838704304 & 0.792941833576653 \tabularnewline
0.37 & 93.6442552110294 & 0.717460887302873 \tabularnewline
0.38 & 93.8018368812876 & 0.647353355464367 \tabularnewline
0.39 & 93.9443260678726 & 0.587450954835278 \tabularnewline
0.4 & 94.0743872587044 & 0.541774134014253 \tabularnewline
0.41 & 94.1950817644934 & 0.510823090050099 \tabularnewline
0.42 & 94.309419205951 & 0.493069738500038 \tabularnewline
0.43 & 94.4200186805198 & 0.485775783840527 \tabularnewline
0.44 & 94.5289213526105 & 0.485439263427149 \tabularnewline
0.45 & 94.6375508804923 & 0.489201553106256 \tabularnewline
0.46 & 94.746786166797 & 0.495133422530104 \tabularnewline
0.47 & 94.8570980827047 & 0.501664377119534 \tabularnewline
0.48 & 94.9687062550178 & 0.508206486690833 \tabularnewline
0.49 & 95.0817265334451 & 0.514796942623018 \tabularnewline
0.5 & 95.1962954744086 & 0.52182086863443 \tabularnewline
0.51 & 95.312668234612 & 0.529910759417584 \tabularnewline
0.52 & 95.4312882802674 & 0.54008575815454 \tabularnewline
0.53 & 95.5528236169637 & 0.553606979243822 \tabularnewline
0.54 & 95.678160031736 & 0.571506887234823 \tabularnewline
0.55 & 95.8083422596158 & 0.594515089202396 \tabularnewline
0.56 & 95.9444615308329 & 0.622621211723345 \tabularnewline
0.57 & 96.087501281133 & 0.654796775637041 \tabularnewline
0.58 & 96.2381673411197 & 0.689352558001819 \tabularnewline
0.59 & 96.3967387595384 & 0.723775933083325 \tabularnewline
0.6 & 96.5629756884379 & 0.755165857797142 \tabularnewline
0.61 & 96.7361096006446 & 0.781326837787617 \tabularnewline
0.62 & 96.9149206995354 & 0.799997673176363 \tabularnewline
0.63 & 97.0978837027882 & 0.810568115282347 \tabularnewline
0.64 & 97.2833443806808 & 0.812960005795458 \tabularnewline
0.65 & 97.4696827385271 & 0.808018269491409 \tabularnewline
0.66 & 97.6554279750968 & 0.796779612756981 \tabularnewline
0.67 & 97.8393124534723 & 0.780464183974577 \tabularnewline
0.68 & 98.0202779772267 & 0.760136384091288 \tabularnewline
0.69 & 98.1974661110752 & 0.736376378910967 \tabularnewline
0.7 & 98.3702263004557 & 0.709986213172324 \tabularnewline
0.71 & 98.5381597888181 & 0.681923420291818 \tabularnewline
0.72 & 98.7011912236659 & 0.653540417540484 \tabularnewline
0.73 & 98.8596362305685 & 0.626976918249767 \tabularnewline
0.74 & 99.0142239677465 & 0.603897192718548 \tabularnewline
0.75 & 99.1660435695014 & 0.585833575379777 \tabularnewline
0.76 & 99.3164080087013 & 0.573421413215784 \tabularnewline
0.77 & 99.4666573840864 & 0.566284415517597 \tabularnewline
0.78 & 99.6179447968888 & 0.562940587178484 \tabularnewline
0.79 & 99.7710562574232 & 0.561590945319397 \tabularnewline
0.8 & 99.9263138243607 & 0.559992917085326 \tabularnewline
0.81 & 100.083605927742 & 0.556169512025111 \tabularnewline
0.82 & 100.242585838741 & 0.549440717839686 \tabularnewline
0.83 & 100.403072437646 & 0.54019209086106 \tabularnewline
0.84 & 100.565654341702 & 0.531296619236228 \tabularnewline
0.85 & 100.732408951499 & 0.527920618355712 \tabularnewline
0.86 & 100.907494395283 & 0.537517830863016 \tabularnewline
0.87 & 101.097212160927 & 0.566936492371276 \tabularnewline
0.88 & 101.309109680553 & 0.618472516748861 \tabularnewline
0.89 & 101.549950109483 & 0.685019565994015 \tabularnewline
0.9 & 101.822949063275 & 0.750535813049983 \tabularnewline
0.91 & 102.125361964244 & 0.794277254194442 \tabularnewline
0.92 & 102.447955339948 & 0.798525038741261 \tabularnewline
0.93 & 102.777820505068 & 0.757147253219615 \tabularnewline
0.94 & 103.105026745317 & 0.682777748491299 \tabularnewline
0.95 & 103.430822471709 & 0.609227945146434 \tabularnewline
0.96 & 103.769672624019 & 0.575169969174313 \tabularnewline
0.97 & 104.133109279628 & 0.568422632738471 \tabularnewline
0.98 & 104.493911939088 & 0.49051119503752 \tabularnewline
0.99 & 104.767939906403 & 0.258377903841528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281859&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]82.990803821087[/C][C]0.3612080324526[/C][/ROW]
[ROW][C]0.02[/C][C]83.2591426248054[/C][C]0.217372678620966[/C][/ROW]
[ROW][C]0.03[/C][C]83.4294889558763[/C][C]0.140317173966762[/C][/ROW]
[ROW][C]0.04[/C][C]83.5261181544328[/C][C]0.100134186577559[/C][/ROW]
[ROW][C]0.05[/C][C]83.5912140067531[/C][C]0.107489073513002[/C][/ROW]
[ROW][C]0.06[/C][C]83.6583005203109[/C][C]0.185572008597152[/C][/ROW]
[ROW][C]0.07[/C][C]83.7582192642066[/C][C]0.34432264106792[/C][/ROW]
[ROW][C]0.08[/C][C]83.9212293784554[/C][C]0.589665904086319[/C][/ROW]
[ROW][C]0.09[/C][C]84.1738138818555[/C][C]0.908580631071143[/C][/ROW]
[ROW][C]0.1[/C][C]84.5320704825468[/C][C]1.25928007952175[/C][/ROW]
[ROW][C]0.11[/C][C]84.9949566065856[/C][C]1.57907015792383[/C][/ROW]
[ROW][C]0.12[/C][C]85.5417405359815[/C][C]1.8051389193179[/C][/ROW]
[ROW][C]0.13[/C][C]86.1362169020294[/C][C]1.89895830198182[/C][/ROW]
[ROW][C]0.14[/C][C]86.7364914271507[/C][C]1.86019506749962[/C][/ROW]
[ROW][C]0.15[/C][C]87.3061251856676[/C][C]1.72308746310701[/C][/ROW]
[ROW][C]0.16[/C][C]87.8220687538668[/C][C]1.5403571749014[/C][/ROW]
[ROW][C]0.17[/C][C]88.2769459406568[/C][C]1.36368674348399[/C][/ROW]
[ROW][C]0.18[/C][C]88.6761549383406[/C][C]1.22773153256247[/C][/ROW]
[ROW][C]0.19[/C][C]89.0322019751011[/C][C]1.14425776643089[/C][/ROW]
[ROW][C]0.2[/C][C]89.3589922545924[/C][C]1.10547445040077[/C][/ROW]
[ROW][C]0.21[/C][C]89.6678935156678[/C][C]1.09351437663362[/C][/ROW]
[ROW][C]0.22[/C][C]89.9661179525187[/C][C]1.09105947682277[/C][/ROW]
[ROW][C]0.23[/C][C]90.2570020725561[/C][C]1.0870233100792[/C][/ROW]
[ROW][C]0.24[/C][C]90.5413334555774[/C][C]1.07701055730705[/C][/ROW]
[ROW][C]0.25[/C][C]90.8188867393653[/C][C]1.06267164383586[/C][/ROW]
[ROW][C]0.26[/C][C]91.0895845005902[/C][C]1.04809486498371[/C][/ROW]
[ROW][C]0.27[/C][C]91.3540178491937[/C][C]1.03819668612999[/C][/ROW]
[ROW][C]0.28[/C][C]91.6133422417438[/C][C]1.03471991179094[/C][/ROW]
[ROW][C]0.29[/C][C]91.8687563037014[/C][C]1.03631816126506[/C][/ROW]
[ROW][C]0.3[/C][C]92.1208574995764[/C][C]1.03775769801337[/C][/ROW]
[ROW][C]0.31[/C][C]92.3691524792454[/C][C]1.03289560807387[/C][/ROW]
[ROW][C]0.32[/C][C]92.6119055410519[/C][C]1.0156157978642[/C][/ROW]
[ROW][C]0.33[/C][C]92.846374739863[/C][C]0.981766831083959[/C][/ROW]
[ROW][C]0.34[/C][C]93.0693559476607[/C][C]0.931076638218466[/C][/ROW]
[ROW][C]0.35[/C][C]93.2778677125908[/C][C]0.866344219344914[/C][/ROW]
[ROW][C]0.36[/C][C]93.4697838704304[/C][C]0.792941833576653[/C][/ROW]
[ROW][C]0.37[/C][C]93.6442552110294[/C][C]0.717460887302873[/C][/ROW]
[ROW][C]0.38[/C][C]93.8018368812876[/C][C]0.647353355464367[/C][/ROW]
[ROW][C]0.39[/C][C]93.9443260678726[/C][C]0.587450954835278[/C][/ROW]
[ROW][C]0.4[/C][C]94.0743872587044[/C][C]0.541774134014253[/C][/ROW]
[ROW][C]0.41[/C][C]94.1950817644934[/C][C]0.510823090050099[/C][/ROW]
[ROW][C]0.42[/C][C]94.309419205951[/C][C]0.493069738500038[/C][/ROW]
[ROW][C]0.43[/C][C]94.4200186805198[/C][C]0.485775783840527[/C][/ROW]
[ROW][C]0.44[/C][C]94.5289213526105[/C][C]0.485439263427149[/C][/ROW]
[ROW][C]0.45[/C][C]94.6375508804923[/C][C]0.489201553106256[/C][/ROW]
[ROW][C]0.46[/C][C]94.746786166797[/C][C]0.495133422530104[/C][/ROW]
[ROW][C]0.47[/C][C]94.8570980827047[/C][C]0.501664377119534[/C][/ROW]
[ROW][C]0.48[/C][C]94.9687062550178[/C][C]0.508206486690833[/C][/ROW]
[ROW][C]0.49[/C][C]95.0817265334451[/C][C]0.514796942623018[/C][/ROW]
[ROW][C]0.5[/C][C]95.1962954744086[/C][C]0.52182086863443[/C][/ROW]
[ROW][C]0.51[/C][C]95.312668234612[/C][C]0.529910759417584[/C][/ROW]
[ROW][C]0.52[/C][C]95.4312882802674[/C][C]0.54008575815454[/C][/ROW]
[ROW][C]0.53[/C][C]95.5528236169637[/C][C]0.553606979243822[/C][/ROW]
[ROW][C]0.54[/C][C]95.678160031736[/C][C]0.571506887234823[/C][/ROW]
[ROW][C]0.55[/C][C]95.8083422596158[/C][C]0.594515089202396[/C][/ROW]
[ROW][C]0.56[/C][C]95.9444615308329[/C][C]0.622621211723345[/C][/ROW]
[ROW][C]0.57[/C][C]96.087501281133[/C][C]0.654796775637041[/C][/ROW]
[ROW][C]0.58[/C][C]96.2381673411197[/C][C]0.689352558001819[/C][/ROW]
[ROW][C]0.59[/C][C]96.3967387595384[/C][C]0.723775933083325[/C][/ROW]
[ROW][C]0.6[/C][C]96.5629756884379[/C][C]0.755165857797142[/C][/ROW]
[ROW][C]0.61[/C][C]96.7361096006446[/C][C]0.781326837787617[/C][/ROW]
[ROW][C]0.62[/C][C]96.9149206995354[/C][C]0.799997673176363[/C][/ROW]
[ROW][C]0.63[/C][C]97.0978837027882[/C][C]0.810568115282347[/C][/ROW]
[ROW][C]0.64[/C][C]97.2833443806808[/C][C]0.812960005795458[/C][/ROW]
[ROW][C]0.65[/C][C]97.4696827385271[/C][C]0.808018269491409[/C][/ROW]
[ROW][C]0.66[/C][C]97.6554279750968[/C][C]0.796779612756981[/C][/ROW]
[ROW][C]0.67[/C][C]97.8393124534723[/C][C]0.780464183974577[/C][/ROW]
[ROW][C]0.68[/C][C]98.0202779772267[/C][C]0.760136384091288[/C][/ROW]
[ROW][C]0.69[/C][C]98.1974661110752[/C][C]0.736376378910967[/C][/ROW]
[ROW][C]0.7[/C][C]98.3702263004557[/C][C]0.709986213172324[/C][/ROW]
[ROW][C]0.71[/C][C]98.5381597888181[/C][C]0.681923420291818[/C][/ROW]
[ROW][C]0.72[/C][C]98.7011912236659[/C][C]0.653540417540484[/C][/ROW]
[ROW][C]0.73[/C][C]98.8596362305685[/C][C]0.626976918249767[/C][/ROW]
[ROW][C]0.74[/C][C]99.0142239677465[/C][C]0.603897192718548[/C][/ROW]
[ROW][C]0.75[/C][C]99.1660435695014[/C][C]0.585833575379777[/C][/ROW]
[ROW][C]0.76[/C][C]99.3164080087013[/C][C]0.573421413215784[/C][/ROW]
[ROW][C]0.77[/C][C]99.4666573840864[/C][C]0.566284415517597[/C][/ROW]
[ROW][C]0.78[/C][C]99.6179447968888[/C][C]0.562940587178484[/C][/ROW]
[ROW][C]0.79[/C][C]99.7710562574232[/C][C]0.561590945319397[/C][/ROW]
[ROW][C]0.8[/C][C]99.9263138243607[/C][C]0.559992917085326[/C][/ROW]
[ROW][C]0.81[/C][C]100.083605927742[/C][C]0.556169512025111[/C][/ROW]
[ROW][C]0.82[/C][C]100.242585838741[/C][C]0.549440717839686[/C][/ROW]
[ROW][C]0.83[/C][C]100.403072437646[/C][C]0.54019209086106[/C][/ROW]
[ROW][C]0.84[/C][C]100.565654341702[/C][C]0.531296619236228[/C][/ROW]
[ROW][C]0.85[/C][C]100.732408951499[/C][C]0.527920618355712[/C][/ROW]
[ROW][C]0.86[/C][C]100.907494395283[/C][C]0.537517830863016[/C][/ROW]
[ROW][C]0.87[/C][C]101.097212160927[/C][C]0.566936492371276[/C][/ROW]
[ROW][C]0.88[/C][C]101.309109680553[/C][C]0.618472516748861[/C][/ROW]
[ROW][C]0.89[/C][C]101.549950109483[/C][C]0.685019565994015[/C][/ROW]
[ROW][C]0.9[/C][C]101.822949063275[/C][C]0.750535813049983[/C][/ROW]
[ROW][C]0.91[/C][C]102.125361964244[/C][C]0.794277254194442[/C][/ROW]
[ROW][C]0.92[/C][C]102.447955339948[/C][C]0.798525038741261[/C][/ROW]
[ROW][C]0.93[/C][C]102.777820505068[/C][C]0.757147253219615[/C][/ROW]
[ROW][C]0.94[/C][C]103.105026745317[/C][C]0.682777748491299[/C][/ROW]
[ROW][C]0.95[/C][C]103.430822471709[/C][C]0.609227945146434[/C][/ROW]
[ROW][C]0.96[/C][C]103.769672624019[/C][C]0.575169969174313[/C][/ROW]
[ROW][C]0.97[/C][C]104.133109279628[/C][C]0.568422632738471[/C][/ROW]
[ROW][C]0.98[/C][C]104.493911939088[/C][C]0.49051119503752[/C][/ROW]
[ROW][C]0.99[/C][C]104.767939906403[/C][C]0.258377903841528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281859&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
0.0182.9908038210870.3612080324526
0.0283.25914262480540.217372678620966
0.0383.42948895587630.140317173966762
0.0483.52611815443280.100134186577559
0.0583.59121400675310.107489073513002
0.0683.65830052031090.185572008597152
0.0783.75821926420660.34432264106792
0.0883.92122937845540.589665904086319
0.0984.17381388185550.908580631071143
0.184.53207048254681.25928007952175
0.1184.99495660658561.57907015792383
0.1285.54174053598151.8051389193179
0.1386.13621690202941.89895830198182
0.1486.73649142715071.86019506749962
0.1587.30612518566761.72308746310701
0.1687.82206875386681.5403571749014
0.1788.27694594065681.36368674348399
0.1888.67615493834061.22773153256247
0.1989.03220197510111.14425776643089
0.289.35899225459241.10547445040077
0.2189.66789351566781.09351437663362
0.2289.96611795251871.09105947682277
0.2390.25700207255611.0870233100792
0.2490.54133345557741.07701055730705
0.2590.81888673936531.06267164383586
0.2691.08958450059021.04809486498371
0.2791.35401784919371.03819668612999
0.2891.61334224174381.03471991179094
0.2991.86875630370141.03631816126506
0.392.12085749957641.03775769801337
0.3192.36915247924541.03289560807387
0.3292.61190554105191.0156157978642
0.3392.8463747398630.981766831083959
0.3493.06935594766070.931076638218466
0.3593.27786771259080.866344219344914
0.3693.46978387043040.792941833576653
0.3793.64425521102940.717460887302873
0.3893.80183688128760.647353355464367
0.3993.94432606787260.587450954835278
0.494.07438725870440.541774134014253
0.4194.19508176449340.510823090050099
0.4294.3094192059510.493069738500038
0.4394.42001868051980.485775783840527
0.4494.52892135261050.485439263427149
0.4594.63755088049230.489201553106256
0.4694.7467861667970.495133422530104
0.4794.85709808270470.501664377119534
0.4894.96870625501780.508206486690833
0.4995.08172653344510.514796942623018
0.595.19629547440860.52182086863443
0.5195.3126682346120.529910759417584
0.5295.43128828026740.54008575815454
0.5395.55282361696370.553606979243822
0.5495.6781600317360.571506887234823
0.5595.80834225961580.594515089202396
0.5695.94446153083290.622621211723345
0.5796.0875012811330.654796775637041
0.5896.23816734111970.689352558001819
0.5996.39673875953840.723775933083325
0.696.56297568843790.755165857797142
0.6196.73610960064460.781326837787617
0.6296.91492069953540.799997673176363
0.6397.09788370278820.810568115282347
0.6497.28334438068080.812960005795458
0.6597.46968273852710.808018269491409
0.6697.65542797509680.796779612756981
0.6797.83931245347230.780464183974577
0.6898.02027797722670.760136384091288
0.6998.19746611107520.736376378910967
0.798.37022630045570.709986213172324
0.7198.53815978881810.681923420291818
0.7298.70119122366590.653540417540484
0.7398.85963623056850.626976918249767
0.7499.01422396774650.603897192718548
0.7599.16604356950140.585833575379777
0.7699.31640800870130.573421413215784
0.7799.46665738408640.566284415517597
0.7899.61794479688880.562940587178484
0.7999.77105625742320.561590945319397
0.899.92631382436070.559992917085326
0.81100.0836059277420.556169512025111
0.82100.2425858387410.549440717839686
0.83100.4030724376460.54019209086106
0.84100.5656543417020.531296619236228
0.85100.7324089514990.527920618355712
0.86100.9074943952830.537517830863016
0.87101.0972121609270.566936492371276
0.88101.3091096805530.618472516748861
0.89101.5499501094830.685019565994015
0.9101.8229490632750.750535813049983
0.91102.1253619642440.794277254194442
0.92102.4479553399480.798525038741261
0.93102.7778205050680.757147253219615
0.94103.1050267453170.682777748491299
0.95103.4308224717090.609227945146434
0.96103.7696726240190.575169969174313
0.97104.1331092796280.568422632738471
0.98104.4939119390880.49051119503752
0.99104.7679399064030.258377903841528


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')