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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 computationWed, 22 Feb 2012 16:24:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329945904huwwu9pqmxgx680.htm/, Retrieved Mon, 06 May 2024 23:40:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163220, Retrieved Mon, 06 May 2024 23:40:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Gemiddelde consum...] [2012-02-07 16:59:28] [dd1db122e2fe6bd517fcf7008a48ce3e]
- RMPD  [Harrell-Davis Quantiles] [Inschrijvingen ni...] [2012-02-22 20:56:31] [dd1db122e2fe6bd517fcf7008a48ce3e]
-    D      [Harrell-Davis Quantiles] [Prijsevolutie kle...] [2012-02-22 21:24:07] [f04aaaaa8bc197d3d2d83dbea45e225d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
530.3
527.76
521.41
1601.93
1577.49
1551.43
1551.43
1516.88
1485.95
1438.22
1385.06
1329.49
1329.49
1276.16
1242.34
1181.59
1160.21
1135.18
1135.18
1084.96
1077.35
1061.13
1029.98
1013.08
1013.08
996.04
975.02
951.89
944.4
932.47
932.47
920.44
900.18
886.9
869.74
859.03
859.03
844.99
834.82
825.62
816.92
813.21
813.21
811.03
804.16
788.62
778.76
765.91
765.91
753.85
742.22
732.11
729.94
731.22
731.22
729.11
726.94
720.52
709.36
703.21

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163220&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163220&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01526.02343396610915.4201424701802
0.02536.95967491345735.7300198172034
0.03555.0307633793758.729357473498
0.04579.12125731528175.575855015095
0.05606.53167528531981.4370811889513
0.06634.00751048406976.6514725554782
0.07658.81823011437164.9152597252241
0.08679.3699112536450.6549283201602
0.09695.24639286909537.2365318271317
0.1706.88118916446626.4201707472485
0.11715.13197915831318.6515304516677
0.12720.9403534876513.6398087115861
0.13725.13712844930410.8475658691679
0.14728.3717732331529.74705834519824
0.15731.1159474381529.87423400916843
0.16733.6969331022310.8399209972875
0.17736.33438731332212.3447123974497
0.18739.16961287905214.1664295279212
0.19742.28593804576816.1331324233774
0.2745.72254895014518.1052736847222
0.21749.48455870050319.9708630699643
0.22753.55123234424921.6435863270172
0.23757.88328390606423.0643404728235
0.24762.4294844836624.1967969139641
0.25767.13252429994525.0275370005656
0.26771.9340384907325.5595663761581
0.27776.77878540614725.8134035401204
0.28781.61804207808425.8227183388907
0.29786.41229780311525.6345073000088
0.3791.13328195944625.3115801952841
0.31795.76529035589624.9255589134719
0.32800.30572056192924.5569009647763
0.33804.76472462277824.2839008520597
0.34809.16394715248824.1791416193231
0.35813.53442237558824.2972875102148
0.36817.91382234394924.6718943209218
0.37822.34334344012425.3093035464227
0.38826.86456162649126.1947472648992
0.39831.5165683779727.2969629049197
0.4836.33362751798328.5713039993765
0.41841.34349116698529.9690771281879
0.42846.56640910706831.4419145679802
0.43852.01478453514932.9418846466655
0.44857.69338391970434.4270045825761
0.45863.59999928859135.8579768540672
0.46869.7264758412937.2012983622697
0.47876.06003829481438.4309549545102
0.48882.584858917439.5315580643128
0.49889.28379922616340.4965780873325
0.5896.14022703816641.3332837545999
0.51903.13977243164142.0623318098722
0.52910.2718577175142.7136063378424
0.53917.53083487249243.3244708696854
0.54924.91659922342243.9381628690386
0.55932.43461927169944.5903620044717
0.56940.09541602608345.3134898763336
0.57947.91361892248646.1256649951914
0.58955.90679503883147.0333754636372
0.59964.09427516463648.0360029812929
0.6972.49617766758949.1234011520149
0.61981.13276706929150.2867708463978
0.62990.02419949807751.5181583292387
0.63999.19062847018352.8127725710859
0.641008.6525953456454.1721412071203
0.651018.4316208834855.5991491274296
0.661028.5509417641757.1009618765821
0.671039.0363760009258.6848109399617
0.681049.9173211632260.3593143365588
0.691061.2278590512262.1400382462206
0.71073.007846471564.0489467091888
0.711085.3037292657566.1104458654249
0.721098.1686736226268.3608013026368
0.731111.6615377815770.8288598789411
0.741125.8442850887873.528997905388
0.751140.7777144289476.4467273880547
0.761156.5158421743979.5258418618802
0.771173.0998103998782.6623276548086
0.781190.5526346913285.7155370536704
0.791208.876213927588.5251260551454
0.81228.0516139622290.9419440848481
0.811248.0426573195892.8580319939149
0.821268.8014786784394.2278066265083
0.831290.2733649044395.0655202933296
0.841312.3974720041795.4180642324341
0.851335.1004438892195.3130047555547
0.861358.2818038305194.697817845255
0.871381.7930274214493.4001976268337
0.881405.4157367612891.1371829846591
0.891428.8475164602587.5680750014953
0.91451.705501626782.4004495815868
0.911473.5572902879375.497858249699
0.921493.9848733685166.9886925143232
0.931512.6785538981757.3405298661103
0.941529.5421167771247.3838091145146
0.951544.7660936805438.240685259396
0.961558.7942349451731.06885556671
0.971572.0841567870926.5158510858873
0.981584.6053269942924.3183430869941
0.991595.2591754476923.7644111219295

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 526.023433966109 & 15.4201424701802 \tabularnewline
0.02 & 536.959674913457 & 35.7300198172034 \tabularnewline
0.03 & 555.03076337937 & 58.729357473498 \tabularnewline
0.04 & 579.121257315281 & 75.575855015095 \tabularnewline
0.05 & 606.531675285319 & 81.4370811889513 \tabularnewline
0.06 & 634.007510484069 & 76.6514725554782 \tabularnewline
0.07 & 658.818230114371 & 64.9152597252241 \tabularnewline
0.08 & 679.36991125364 & 50.6549283201602 \tabularnewline
0.09 & 695.246392869095 & 37.2365318271317 \tabularnewline
0.1 & 706.881189164466 & 26.4201707472485 \tabularnewline
0.11 & 715.131979158313 & 18.6515304516677 \tabularnewline
0.12 & 720.94035348765 & 13.6398087115861 \tabularnewline
0.13 & 725.137128449304 & 10.8475658691679 \tabularnewline
0.14 & 728.371773233152 & 9.74705834519824 \tabularnewline
0.15 & 731.115947438152 & 9.87423400916843 \tabularnewline
0.16 & 733.69693310223 & 10.8399209972875 \tabularnewline
0.17 & 736.334387313322 & 12.3447123974497 \tabularnewline
0.18 & 739.169612879052 & 14.1664295279212 \tabularnewline
0.19 & 742.285938045768 & 16.1331324233774 \tabularnewline
0.2 & 745.722548950145 & 18.1052736847222 \tabularnewline
0.21 & 749.484558700503 & 19.9708630699643 \tabularnewline
0.22 & 753.551232344249 & 21.6435863270172 \tabularnewline
0.23 & 757.883283906064 & 23.0643404728235 \tabularnewline
0.24 & 762.42948448366 & 24.1967969139641 \tabularnewline
0.25 & 767.132524299945 & 25.0275370005656 \tabularnewline
0.26 & 771.93403849073 & 25.5595663761581 \tabularnewline
0.27 & 776.778785406147 & 25.8134035401204 \tabularnewline
0.28 & 781.618042078084 & 25.8227183388907 \tabularnewline
0.29 & 786.412297803115 & 25.6345073000088 \tabularnewline
0.3 & 791.133281959446 & 25.3115801952841 \tabularnewline
0.31 & 795.765290355896 & 24.9255589134719 \tabularnewline
0.32 & 800.305720561929 & 24.5569009647763 \tabularnewline
0.33 & 804.764724622778 & 24.2839008520597 \tabularnewline
0.34 & 809.163947152488 & 24.1791416193231 \tabularnewline
0.35 & 813.534422375588 & 24.2972875102148 \tabularnewline
0.36 & 817.913822343949 & 24.6718943209218 \tabularnewline
0.37 & 822.343343440124 & 25.3093035464227 \tabularnewline
0.38 & 826.864561626491 & 26.1947472648992 \tabularnewline
0.39 & 831.51656837797 & 27.2969629049197 \tabularnewline
0.4 & 836.333627517983 & 28.5713039993765 \tabularnewline
0.41 & 841.343491166985 & 29.9690771281879 \tabularnewline
0.42 & 846.566409107068 & 31.4419145679802 \tabularnewline
0.43 & 852.014784535149 & 32.9418846466655 \tabularnewline
0.44 & 857.693383919704 & 34.4270045825761 \tabularnewline
0.45 & 863.599999288591 & 35.8579768540672 \tabularnewline
0.46 & 869.72647584129 & 37.2012983622697 \tabularnewline
0.47 & 876.060038294814 & 38.4309549545102 \tabularnewline
0.48 & 882.5848589174 & 39.5315580643128 \tabularnewline
0.49 & 889.283799226163 & 40.4965780873325 \tabularnewline
0.5 & 896.140227038166 & 41.3332837545999 \tabularnewline
0.51 & 903.139772431641 & 42.0623318098722 \tabularnewline
0.52 & 910.27185771751 & 42.7136063378424 \tabularnewline
0.53 & 917.530834872492 & 43.3244708696854 \tabularnewline
0.54 & 924.916599223422 & 43.9381628690386 \tabularnewline
0.55 & 932.434619271699 & 44.5903620044717 \tabularnewline
0.56 & 940.095416026083 & 45.3134898763336 \tabularnewline
0.57 & 947.913618922486 & 46.1256649951914 \tabularnewline
0.58 & 955.906795038831 & 47.0333754636372 \tabularnewline
0.59 & 964.094275164636 & 48.0360029812929 \tabularnewline
0.6 & 972.496177667589 & 49.1234011520149 \tabularnewline
0.61 & 981.132767069291 & 50.2867708463978 \tabularnewline
0.62 & 990.024199498077 & 51.5181583292387 \tabularnewline
0.63 & 999.190628470183 & 52.8127725710859 \tabularnewline
0.64 & 1008.65259534564 & 54.1721412071203 \tabularnewline
0.65 & 1018.43162088348 & 55.5991491274296 \tabularnewline
0.66 & 1028.55094176417 & 57.1009618765821 \tabularnewline
0.67 & 1039.03637600092 & 58.6848109399617 \tabularnewline
0.68 & 1049.91732116322 & 60.3593143365588 \tabularnewline
0.69 & 1061.22785905122 & 62.1400382462206 \tabularnewline
0.7 & 1073.0078464715 & 64.0489467091888 \tabularnewline
0.71 & 1085.30372926575 & 66.1104458654249 \tabularnewline
0.72 & 1098.16867362262 & 68.3608013026368 \tabularnewline
0.73 & 1111.66153778157 & 70.8288598789411 \tabularnewline
0.74 & 1125.84428508878 & 73.528997905388 \tabularnewline
0.75 & 1140.77771442894 & 76.4467273880547 \tabularnewline
0.76 & 1156.51584217439 & 79.5258418618802 \tabularnewline
0.77 & 1173.09981039987 & 82.6623276548086 \tabularnewline
0.78 & 1190.55263469132 & 85.7155370536704 \tabularnewline
0.79 & 1208.8762139275 & 88.5251260551454 \tabularnewline
0.8 & 1228.05161396222 & 90.9419440848481 \tabularnewline
0.81 & 1248.04265731958 & 92.8580319939149 \tabularnewline
0.82 & 1268.80147867843 & 94.2278066265083 \tabularnewline
0.83 & 1290.27336490443 & 95.0655202933296 \tabularnewline
0.84 & 1312.39747200417 & 95.4180642324341 \tabularnewline
0.85 & 1335.10044388921 & 95.3130047555547 \tabularnewline
0.86 & 1358.28180383051 & 94.697817845255 \tabularnewline
0.87 & 1381.79302742144 & 93.4001976268337 \tabularnewline
0.88 & 1405.41573676128 & 91.1371829846591 \tabularnewline
0.89 & 1428.84751646025 & 87.5680750014953 \tabularnewline
0.9 & 1451.7055016267 & 82.4004495815868 \tabularnewline
0.91 & 1473.55729028793 & 75.497858249699 \tabularnewline
0.92 & 1493.98487336851 & 66.9886925143232 \tabularnewline
0.93 & 1512.67855389817 & 57.3405298661103 \tabularnewline
0.94 & 1529.54211677712 & 47.3838091145146 \tabularnewline
0.95 & 1544.76609368054 & 38.240685259396 \tabularnewline
0.96 & 1558.79423494517 & 31.06885556671 \tabularnewline
0.97 & 1572.08415678709 & 26.5158510858873 \tabularnewline
0.98 & 1584.60532699429 & 24.3183430869941 \tabularnewline
0.99 & 1595.25917544769 & 23.7644111219295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163220&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]526.023433966109[/C][C]15.4201424701802[/C][/ROW]
[ROW][C]0.02[/C][C]536.959674913457[/C][C]35.7300198172034[/C][/ROW]
[ROW][C]0.03[/C][C]555.03076337937[/C][C]58.729357473498[/C][/ROW]
[ROW][C]0.04[/C][C]579.121257315281[/C][C]75.575855015095[/C][/ROW]
[ROW][C]0.05[/C][C]606.531675285319[/C][C]81.4370811889513[/C][/ROW]
[ROW][C]0.06[/C][C]634.007510484069[/C][C]76.6514725554782[/C][/ROW]
[ROW][C]0.07[/C][C]658.818230114371[/C][C]64.9152597252241[/C][/ROW]
[ROW][C]0.08[/C][C]679.36991125364[/C][C]50.6549283201602[/C][/ROW]
[ROW][C]0.09[/C][C]695.246392869095[/C][C]37.2365318271317[/C][/ROW]
[ROW][C]0.1[/C][C]706.881189164466[/C][C]26.4201707472485[/C][/ROW]
[ROW][C]0.11[/C][C]715.131979158313[/C][C]18.6515304516677[/C][/ROW]
[ROW][C]0.12[/C][C]720.94035348765[/C][C]13.6398087115861[/C][/ROW]
[ROW][C]0.13[/C][C]725.137128449304[/C][C]10.8475658691679[/C][/ROW]
[ROW][C]0.14[/C][C]728.371773233152[/C][C]9.74705834519824[/C][/ROW]
[ROW][C]0.15[/C][C]731.115947438152[/C][C]9.87423400916843[/C][/ROW]
[ROW][C]0.16[/C][C]733.69693310223[/C][C]10.8399209972875[/C][/ROW]
[ROW][C]0.17[/C][C]736.334387313322[/C][C]12.3447123974497[/C][/ROW]
[ROW][C]0.18[/C][C]739.169612879052[/C][C]14.1664295279212[/C][/ROW]
[ROW][C]0.19[/C][C]742.285938045768[/C][C]16.1331324233774[/C][/ROW]
[ROW][C]0.2[/C][C]745.722548950145[/C][C]18.1052736847222[/C][/ROW]
[ROW][C]0.21[/C][C]749.484558700503[/C][C]19.9708630699643[/C][/ROW]
[ROW][C]0.22[/C][C]753.551232344249[/C][C]21.6435863270172[/C][/ROW]
[ROW][C]0.23[/C][C]757.883283906064[/C][C]23.0643404728235[/C][/ROW]
[ROW][C]0.24[/C][C]762.42948448366[/C][C]24.1967969139641[/C][/ROW]
[ROW][C]0.25[/C][C]767.132524299945[/C][C]25.0275370005656[/C][/ROW]
[ROW][C]0.26[/C][C]771.93403849073[/C][C]25.5595663761581[/C][/ROW]
[ROW][C]0.27[/C][C]776.778785406147[/C][C]25.8134035401204[/C][/ROW]
[ROW][C]0.28[/C][C]781.618042078084[/C][C]25.8227183388907[/C][/ROW]
[ROW][C]0.29[/C][C]786.412297803115[/C][C]25.6345073000088[/C][/ROW]
[ROW][C]0.3[/C][C]791.133281959446[/C][C]25.3115801952841[/C][/ROW]
[ROW][C]0.31[/C][C]795.765290355896[/C][C]24.9255589134719[/C][/ROW]
[ROW][C]0.32[/C][C]800.305720561929[/C][C]24.5569009647763[/C][/ROW]
[ROW][C]0.33[/C][C]804.764724622778[/C][C]24.2839008520597[/C][/ROW]
[ROW][C]0.34[/C][C]809.163947152488[/C][C]24.1791416193231[/C][/ROW]
[ROW][C]0.35[/C][C]813.534422375588[/C][C]24.2972875102148[/C][/ROW]
[ROW][C]0.36[/C][C]817.913822343949[/C][C]24.6718943209218[/C][/ROW]
[ROW][C]0.37[/C][C]822.343343440124[/C][C]25.3093035464227[/C][/ROW]
[ROW][C]0.38[/C][C]826.864561626491[/C][C]26.1947472648992[/C][/ROW]
[ROW][C]0.39[/C][C]831.51656837797[/C][C]27.2969629049197[/C][/ROW]
[ROW][C]0.4[/C][C]836.333627517983[/C][C]28.5713039993765[/C][/ROW]
[ROW][C]0.41[/C][C]841.343491166985[/C][C]29.9690771281879[/C][/ROW]
[ROW][C]0.42[/C][C]846.566409107068[/C][C]31.4419145679802[/C][/ROW]
[ROW][C]0.43[/C][C]852.014784535149[/C][C]32.9418846466655[/C][/ROW]
[ROW][C]0.44[/C][C]857.693383919704[/C][C]34.4270045825761[/C][/ROW]
[ROW][C]0.45[/C][C]863.599999288591[/C][C]35.8579768540672[/C][/ROW]
[ROW][C]0.46[/C][C]869.72647584129[/C][C]37.2012983622697[/C][/ROW]
[ROW][C]0.47[/C][C]876.060038294814[/C][C]38.4309549545102[/C][/ROW]
[ROW][C]0.48[/C][C]882.5848589174[/C][C]39.5315580643128[/C][/ROW]
[ROW][C]0.49[/C][C]889.283799226163[/C][C]40.4965780873325[/C][/ROW]
[ROW][C]0.5[/C][C]896.140227038166[/C][C]41.3332837545999[/C][/ROW]
[ROW][C]0.51[/C][C]903.139772431641[/C][C]42.0623318098722[/C][/ROW]
[ROW][C]0.52[/C][C]910.27185771751[/C][C]42.7136063378424[/C][/ROW]
[ROW][C]0.53[/C][C]917.530834872492[/C][C]43.3244708696854[/C][/ROW]
[ROW][C]0.54[/C][C]924.916599223422[/C][C]43.9381628690386[/C][/ROW]
[ROW][C]0.55[/C][C]932.434619271699[/C][C]44.5903620044717[/C][/ROW]
[ROW][C]0.56[/C][C]940.095416026083[/C][C]45.3134898763336[/C][/ROW]
[ROW][C]0.57[/C][C]947.913618922486[/C][C]46.1256649951914[/C][/ROW]
[ROW][C]0.58[/C][C]955.906795038831[/C][C]47.0333754636372[/C][/ROW]
[ROW][C]0.59[/C][C]964.094275164636[/C][C]48.0360029812929[/C][/ROW]
[ROW][C]0.6[/C][C]972.496177667589[/C][C]49.1234011520149[/C][/ROW]
[ROW][C]0.61[/C][C]981.132767069291[/C][C]50.2867708463978[/C][/ROW]
[ROW][C]0.62[/C][C]990.024199498077[/C][C]51.5181583292387[/C][/ROW]
[ROW][C]0.63[/C][C]999.190628470183[/C][C]52.8127725710859[/C][/ROW]
[ROW][C]0.64[/C][C]1008.65259534564[/C][C]54.1721412071203[/C][/ROW]
[ROW][C]0.65[/C][C]1018.43162088348[/C][C]55.5991491274296[/C][/ROW]
[ROW][C]0.66[/C][C]1028.55094176417[/C][C]57.1009618765821[/C][/ROW]
[ROW][C]0.67[/C][C]1039.03637600092[/C][C]58.6848109399617[/C][/ROW]
[ROW][C]0.68[/C][C]1049.91732116322[/C][C]60.3593143365588[/C][/ROW]
[ROW][C]0.69[/C][C]1061.22785905122[/C][C]62.1400382462206[/C][/ROW]
[ROW][C]0.7[/C][C]1073.0078464715[/C][C]64.0489467091888[/C][/ROW]
[ROW][C]0.71[/C][C]1085.30372926575[/C][C]66.1104458654249[/C][/ROW]
[ROW][C]0.72[/C][C]1098.16867362262[/C][C]68.3608013026368[/C][/ROW]
[ROW][C]0.73[/C][C]1111.66153778157[/C][C]70.8288598789411[/C][/ROW]
[ROW][C]0.74[/C][C]1125.84428508878[/C][C]73.528997905388[/C][/ROW]
[ROW][C]0.75[/C][C]1140.77771442894[/C][C]76.4467273880547[/C][/ROW]
[ROW][C]0.76[/C][C]1156.51584217439[/C][C]79.5258418618802[/C][/ROW]
[ROW][C]0.77[/C][C]1173.09981039987[/C][C]82.6623276548086[/C][/ROW]
[ROW][C]0.78[/C][C]1190.55263469132[/C][C]85.7155370536704[/C][/ROW]
[ROW][C]0.79[/C][C]1208.8762139275[/C][C]88.5251260551454[/C][/ROW]
[ROW][C]0.8[/C][C]1228.05161396222[/C][C]90.9419440848481[/C][/ROW]
[ROW][C]0.81[/C][C]1248.04265731958[/C][C]92.8580319939149[/C][/ROW]
[ROW][C]0.82[/C][C]1268.80147867843[/C][C]94.2278066265083[/C][/ROW]
[ROW][C]0.83[/C][C]1290.27336490443[/C][C]95.0655202933296[/C][/ROW]
[ROW][C]0.84[/C][C]1312.39747200417[/C][C]95.4180642324341[/C][/ROW]
[ROW][C]0.85[/C][C]1335.10044388921[/C][C]95.3130047555547[/C][/ROW]
[ROW][C]0.86[/C][C]1358.28180383051[/C][C]94.697817845255[/C][/ROW]
[ROW][C]0.87[/C][C]1381.79302742144[/C][C]93.4001976268337[/C][/ROW]
[ROW][C]0.88[/C][C]1405.41573676128[/C][C]91.1371829846591[/C][/ROW]
[ROW][C]0.89[/C][C]1428.84751646025[/C][C]87.5680750014953[/C][/ROW]
[ROW][C]0.9[/C][C]1451.7055016267[/C][C]82.4004495815868[/C][/ROW]
[ROW][C]0.91[/C][C]1473.55729028793[/C][C]75.497858249699[/C][/ROW]
[ROW][C]0.92[/C][C]1493.98487336851[/C][C]66.9886925143232[/C][/ROW]
[ROW][C]0.93[/C][C]1512.67855389817[/C][C]57.3405298661103[/C][/ROW]
[ROW][C]0.94[/C][C]1529.54211677712[/C][C]47.3838091145146[/C][/ROW]
[ROW][C]0.95[/C][C]1544.76609368054[/C][C]38.240685259396[/C][/ROW]
[ROW][C]0.96[/C][C]1558.79423494517[/C][C]31.06885556671[/C][/ROW]
[ROW][C]0.97[/C][C]1572.08415678709[/C][C]26.5158510858873[/C][/ROW]
[ROW][C]0.98[/C][C]1584.60532699429[/C][C]24.3183430869941[/C][/ROW]
[ROW][C]0.99[/C][C]1595.25917544769[/C][C]23.7644111219295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163220&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
0.01526.02343396610915.4201424701802
0.02536.95967491345735.7300198172034
0.03555.0307633793758.729357473498
0.04579.12125731528175.575855015095
0.05606.53167528531981.4370811889513
0.06634.00751048406976.6514725554782
0.07658.81823011437164.9152597252241
0.08679.3699112536450.6549283201602
0.09695.24639286909537.2365318271317
0.1706.88118916446626.4201707472485
0.11715.13197915831318.6515304516677
0.12720.9403534876513.6398087115861
0.13725.13712844930410.8475658691679
0.14728.3717732331529.74705834519824
0.15731.1159474381529.87423400916843
0.16733.6969331022310.8399209972875
0.17736.33438731332212.3447123974497
0.18739.16961287905214.1664295279212
0.19742.28593804576816.1331324233774
0.2745.72254895014518.1052736847222
0.21749.48455870050319.9708630699643
0.22753.55123234424921.6435863270172
0.23757.88328390606423.0643404728235
0.24762.4294844836624.1967969139641
0.25767.13252429994525.0275370005656
0.26771.9340384907325.5595663761581
0.27776.77878540614725.8134035401204
0.28781.61804207808425.8227183388907
0.29786.41229780311525.6345073000088
0.3791.13328195944625.3115801952841
0.31795.76529035589624.9255589134719
0.32800.30572056192924.5569009647763
0.33804.76472462277824.2839008520597
0.34809.16394715248824.1791416193231
0.35813.53442237558824.2972875102148
0.36817.91382234394924.6718943209218
0.37822.34334344012425.3093035464227
0.38826.86456162649126.1947472648992
0.39831.5165683779727.2969629049197
0.4836.33362751798328.5713039993765
0.41841.34349116698529.9690771281879
0.42846.56640910706831.4419145679802
0.43852.01478453514932.9418846466655
0.44857.69338391970434.4270045825761
0.45863.59999928859135.8579768540672
0.46869.7264758412937.2012983622697
0.47876.06003829481438.4309549545102
0.48882.584858917439.5315580643128
0.49889.28379922616340.4965780873325
0.5896.14022703816641.3332837545999
0.51903.13977243164142.0623318098722
0.52910.2718577175142.7136063378424
0.53917.53083487249243.3244708696854
0.54924.91659922342243.9381628690386
0.55932.43461927169944.5903620044717
0.56940.09541602608345.3134898763336
0.57947.91361892248646.1256649951914
0.58955.90679503883147.0333754636372
0.59964.09427516463648.0360029812929
0.6972.49617766758949.1234011520149
0.61981.13276706929150.2867708463978
0.62990.02419949807751.5181583292387
0.63999.19062847018352.8127725710859
0.641008.6525953456454.1721412071203
0.651018.4316208834855.5991491274296
0.661028.5509417641757.1009618765821
0.671039.0363760009258.6848109399617
0.681049.9173211632260.3593143365588
0.691061.2278590512262.1400382462206
0.71073.007846471564.0489467091888
0.711085.3037292657566.1104458654249
0.721098.1686736226268.3608013026368
0.731111.6615377815770.8288598789411
0.741125.8442850887873.528997905388
0.751140.7777144289476.4467273880547
0.761156.5158421743979.5258418618802
0.771173.0998103998782.6623276548086
0.781190.5526346913285.7155370536704
0.791208.876213927588.5251260551454
0.81228.0516139622290.9419440848481
0.811248.0426573195892.8580319939149
0.821268.8014786784394.2278066265083
0.831290.2733649044395.0655202933296
0.841312.3974720041795.4180642324341
0.851335.1004438892195.3130047555547
0.861358.2818038305194.697817845255
0.871381.7930274214493.4001976268337
0.881405.4157367612891.1371829846591
0.891428.8475164602587.5680750014953
0.91451.705501626782.4004495815868
0.911473.5572902879375.497858249699
0.921493.9848733685166.9886925143232
0.931512.6785538981757.3405298661103
0.941529.5421167771247.3838091145146
0.951544.7660936805438.240685259396
0.961558.7942349451731.06885556671
0.971572.0841567870926.5158510858873
0.981584.6053269942924.3183430869941
0.991595.2591754476923.7644111219295


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')