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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 computationThu, 06 Oct 2016 16:51:52 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475769201pbmt5ewsqdgsb3c.htm/, Retrieved Sat, 04 May 2024 09:02:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 09:02:09 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70,99
70,99
72,03
72,31
72,33
72,33
73,14
73,28
73,28
73,28
73,28
73,28
73,28
73,28
74,33
75,71
76,65
76,65
76,66
76,66
76,66
76,66
76,66
76,17
76,05
76,06
76,08
79,02
80,21
79,8
80,22
81,28
82,1
82,13
82,12
82,13
82,13
82,13
82,13
82,68
83,81
84,52
84,53
84,57
84,59
85,28
86,5
86,79
86,83
88,45
93,64
95,75
95,9
96,01
95,99
95,96
96
96,02
96,04
96,04
96,04
96,04
96,13
96,17
96,19
96,16
96,45
96,47
96,47
96,76
97,24
97,26
98,3
98,87
100,49
100,53
99,66
99,31
100,36
100,77
100,39
100,42
100,44
100,44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0171.10616982063310.31551789805405
0.0271.36471426304640.563912811789004
0.0371.69284260427090.592727631924984
0.0472.00676098314520.514643569712011
0.0572.27100067871650.456661256517381
0.0672.49009853954820.443912826799801
0.0772.6790562223140.440331586889161
0.0872.84724776495780.421320670602945
0.0972.99833485599910.391844371951423
0.173.13604155678830.377483194481769
0.1173.26807760696490.40761599553701
0.1273.40607081952860.494853767602091
0.1373.56271122993470.628618091813854
0.1473.74815124680510.786692181414945
0.1573.96724852543170.942949705159036
0.1674.21844678442251.07294900812507
0.1774.49439428544811.15810922444669
0.1874.78390809794211.18949340068816
0.1975.07461801536591.16927642395146
0.275.35557050453131.10902056956311
0.2175.61921691184061.02700095804787
0.2275.86247719438010.944225591286894
0.2376.08685384083310.881149234478572
0.2476.29777780193550.855430564539335
0.2576.50345894508810.878341379386489
0.2676.71350499690350.952566933416962
0.2776.93751491546731.072458974382
0.2877.18379336495341.2259662371569
0.2977.45829628268751.39784147459407
0.377.7638998797441.57114634475366
0.3178.10006825585091.72886304238176
0.3278.46296130120471.85583509866987
0.3378.84597064891421.94112904910746
0.3479.24060719754431.97827806618881
0.3579.63760687272181.96699487589203
0.3680.028088207011.91225769647536
0.3780.40459436657281.8239829646386
0.3880.76188199975541.71482208325766
0.3981.09737086182171.59929235745483
0.481.41122955713981.49185562653262
0.4181.70613243830151.40558670987484
0.4281.98677159006171.34992219255221
0.4382.25923936482851.33121826448622
0.4482.53040680119581.35074406435468
0.4582.80740942483521.40727490708999
0.4683.09731552382621.49804834864469
0.4783.40699835527921.62088875183641
0.4883.74317283334451.77490772864746
0.4984.11250257386961.96158841337385
0.584.52164913784032.1824550148637
0.5184.97713358619982.43790364889164
0.5285.48491629894972.7249589060531
0.5386.04967075154943.03504458551899
0.5486.67381740613123.35390156117695
0.5587.35647423568133.66066105138949
0.5688.09254639965353.93038246894914
0.5788.8721975207394.13670939762198
0.5889.68090619099694.25519698640998
0.5990.50021528195424.26729378371859
0.691.30914598426454.16395870075116
0.6192.08610422638173.94684468268303
0.6292.81099096815413.62947766553361
0.6393.46717181924123.23450638407476
0.6494.0429825055862.79136111854875
0.6594.53254083563382.33131213010525
0.6694.93577847805011.88419121624753
0.6795.25775957078161.47439686173699
0.6895.50747930289991.11881860230578
0.6995.69640614578590.826510330216403
0.795.83703648860170.59928293286347
0.7195.9416791181670.433591959634018
0.7296.02160175116520.322967354220943
0.7396.0865794673470.259749232602848
0.7496.14480758782850.23571173104552
0.7596.20309124212560.242306070657043
0.7696.26720135617930.272235409256166
0.7796.34228490999850.321253034330812
0.7896.43322642100940.387625129246286
0.7996.54487095629930.470740410282914
0.896.68203587688590.570042925343853
0.8196.84926402842980.68326473648281
0.8297.05031196408150.805762018100345
0.8397.28742494570620.930017478087602
0.8497.56051725272661.04554565411949
0.8597.8664319794791.13995080164918
0.8698.19847627691391.20074504124532
0.8798.54640446872341.21730094684662
0.8898.89696247469441.18298731196627
0.8999.2350356654771.09679582161418
0.999.54536805791510.964023331579677
0.9199.81471720992970.796543702984673
0.92100.0341362003290.612437904931148
0.93100.2008567447320.432988012767562
0.94100.3191569410880.27891317722474
0.95100.3999160695920.165105948786159
0.96100.4593458040740.0984136174482146
0.97100.5175621544270.0816630866435941
0.98100.594221318560.113250614651222
0.99100.6918081642610.178528022788006

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 71.1061698206331 & 0.31551789805405 \tabularnewline
0.02 & 71.3647142630464 & 0.563912811789004 \tabularnewline
0.03 & 71.6928426042709 & 0.592727631924984 \tabularnewline
0.04 & 72.0067609831452 & 0.514643569712011 \tabularnewline
0.05 & 72.2710006787165 & 0.456661256517381 \tabularnewline
0.06 & 72.4900985395482 & 0.443912826799801 \tabularnewline
0.07 & 72.679056222314 & 0.440331586889161 \tabularnewline
0.08 & 72.8472477649578 & 0.421320670602945 \tabularnewline
0.09 & 72.9983348559991 & 0.391844371951423 \tabularnewline
0.1 & 73.1360415567883 & 0.377483194481769 \tabularnewline
0.11 & 73.2680776069649 & 0.40761599553701 \tabularnewline
0.12 & 73.4060708195286 & 0.494853767602091 \tabularnewline
0.13 & 73.5627112299347 & 0.628618091813854 \tabularnewline
0.14 & 73.7481512468051 & 0.786692181414945 \tabularnewline
0.15 & 73.9672485254317 & 0.942949705159036 \tabularnewline
0.16 & 74.2184467844225 & 1.07294900812507 \tabularnewline
0.17 & 74.4943942854481 & 1.15810922444669 \tabularnewline
0.18 & 74.7839080979421 & 1.18949340068816 \tabularnewline
0.19 & 75.0746180153659 & 1.16927642395146 \tabularnewline
0.2 & 75.3555705045313 & 1.10902056956311 \tabularnewline
0.21 & 75.6192169118406 & 1.02700095804787 \tabularnewline
0.22 & 75.8624771943801 & 0.944225591286894 \tabularnewline
0.23 & 76.0868538408331 & 0.881149234478572 \tabularnewline
0.24 & 76.2977778019355 & 0.855430564539335 \tabularnewline
0.25 & 76.5034589450881 & 0.878341379386489 \tabularnewline
0.26 & 76.7135049969035 & 0.952566933416962 \tabularnewline
0.27 & 76.9375149154673 & 1.072458974382 \tabularnewline
0.28 & 77.1837933649534 & 1.2259662371569 \tabularnewline
0.29 & 77.4582962826875 & 1.39784147459407 \tabularnewline
0.3 & 77.763899879744 & 1.57114634475366 \tabularnewline
0.31 & 78.1000682558509 & 1.72886304238176 \tabularnewline
0.32 & 78.4629613012047 & 1.85583509866987 \tabularnewline
0.33 & 78.8459706489142 & 1.94112904910746 \tabularnewline
0.34 & 79.2406071975443 & 1.97827806618881 \tabularnewline
0.35 & 79.6376068727218 & 1.96699487589203 \tabularnewline
0.36 & 80.02808820701 & 1.91225769647536 \tabularnewline
0.37 & 80.4045943665728 & 1.8239829646386 \tabularnewline
0.38 & 80.7618819997554 & 1.71482208325766 \tabularnewline
0.39 & 81.0973708618217 & 1.59929235745483 \tabularnewline
0.4 & 81.4112295571398 & 1.49185562653262 \tabularnewline
0.41 & 81.7061324383015 & 1.40558670987484 \tabularnewline
0.42 & 81.9867715900617 & 1.34992219255221 \tabularnewline
0.43 & 82.2592393648285 & 1.33121826448622 \tabularnewline
0.44 & 82.5304068011958 & 1.35074406435468 \tabularnewline
0.45 & 82.8074094248352 & 1.40727490708999 \tabularnewline
0.46 & 83.0973155238262 & 1.49804834864469 \tabularnewline
0.47 & 83.4069983552792 & 1.62088875183641 \tabularnewline
0.48 & 83.7431728333445 & 1.77490772864746 \tabularnewline
0.49 & 84.1125025738696 & 1.96158841337385 \tabularnewline
0.5 & 84.5216491378403 & 2.1824550148637 \tabularnewline
0.51 & 84.9771335861998 & 2.43790364889164 \tabularnewline
0.52 & 85.4849162989497 & 2.7249589060531 \tabularnewline
0.53 & 86.0496707515494 & 3.03504458551899 \tabularnewline
0.54 & 86.6738174061312 & 3.35390156117695 \tabularnewline
0.55 & 87.3564742356813 & 3.66066105138949 \tabularnewline
0.56 & 88.0925463996535 & 3.93038246894914 \tabularnewline
0.57 & 88.872197520739 & 4.13670939762198 \tabularnewline
0.58 & 89.6809061909969 & 4.25519698640998 \tabularnewline
0.59 & 90.5002152819542 & 4.26729378371859 \tabularnewline
0.6 & 91.3091459842645 & 4.16395870075116 \tabularnewline
0.61 & 92.0861042263817 & 3.94684468268303 \tabularnewline
0.62 & 92.8109909681541 & 3.62947766553361 \tabularnewline
0.63 & 93.4671718192412 & 3.23450638407476 \tabularnewline
0.64 & 94.042982505586 & 2.79136111854875 \tabularnewline
0.65 & 94.5325408356338 & 2.33131213010525 \tabularnewline
0.66 & 94.9357784780501 & 1.88419121624753 \tabularnewline
0.67 & 95.2577595707816 & 1.47439686173699 \tabularnewline
0.68 & 95.5074793028999 & 1.11881860230578 \tabularnewline
0.69 & 95.6964061457859 & 0.826510330216403 \tabularnewline
0.7 & 95.8370364886017 & 0.59928293286347 \tabularnewline
0.71 & 95.941679118167 & 0.433591959634018 \tabularnewline
0.72 & 96.0216017511652 & 0.322967354220943 \tabularnewline
0.73 & 96.086579467347 & 0.259749232602848 \tabularnewline
0.74 & 96.1448075878285 & 0.23571173104552 \tabularnewline
0.75 & 96.2030912421256 & 0.242306070657043 \tabularnewline
0.76 & 96.2672013561793 & 0.272235409256166 \tabularnewline
0.77 & 96.3422849099985 & 0.321253034330812 \tabularnewline
0.78 & 96.4332264210094 & 0.387625129246286 \tabularnewline
0.79 & 96.5448709562993 & 0.470740410282914 \tabularnewline
0.8 & 96.6820358768859 & 0.570042925343853 \tabularnewline
0.81 & 96.8492640284298 & 0.68326473648281 \tabularnewline
0.82 & 97.0503119640815 & 0.805762018100345 \tabularnewline
0.83 & 97.2874249457062 & 0.930017478087602 \tabularnewline
0.84 & 97.5605172527266 & 1.04554565411949 \tabularnewline
0.85 & 97.866431979479 & 1.13995080164918 \tabularnewline
0.86 & 98.1984762769139 & 1.20074504124532 \tabularnewline
0.87 & 98.5464044687234 & 1.21730094684662 \tabularnewline
0.88 & 98.8969624746944 & 1.18298731196627 \tabularnewline
0.89 & 99.235035665477 & 1.09679582161418 \tabularnewline
0.9 & 99.5453680579151 & 0.964023331579677 \tabularnewline
0.91 & 99.8147172099297 & 0.796543702984673 \tabularnewline
0.92 & 100.034136200329 & 0.612437904931148 \tabularnewline
0.93 & 100.200856744732 & 0.432988012767562 \tabularnewline
0.94 & 100.319156941088 & 0.27891317722474 \tabularnewline
0.95 & 100.399916069592 & 0.165105948786159 \tabularnewline
0.96 & 100.459345804074 & 0.0984136174482146 \tabularnewline
0.97 & 100.517562154427 & 0.0816630866435941 \tabularnewline
0.98 & 100.59422131856 & 0.113250614651222 \tabularnewline
0.99 & 100.691808164261 & 0.178528022788006 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]71.1061698206331[/C][C]0.31551789805405[/C][/ROW]
[ROW][C]0.02[/C][C]71.3647142630464[/C][C]0.563912811789004[/C][/ROW]
[ROW][C]0.03[/C][C]71.6928426042709[/C][C]0.592727631924984[/C][/ROW]
[ROW][C]0.04[/C][C]72.0067609831452[/C][C]0.514643569712011[/C][/ROW]
[ROW][C]0.05[/C][C]72.2710006787165[/C][C]0.456661256517381[/C][/ROW]
[ROW][C]0.06[/C][C]72.4900985395482[/C][C]0.443912826799801[/C][/ROW]
[ROW][C]0.07[/C][C]72.679056222314[/C][C]0.440331586889161[/C][/ROW]
[ROW][C]0.08[/C][C]72.8472477649578[/C][C]0.421320670602945[/C][/ROW]
[ROW][C]0.09[/C][C]72.9983348559991[/C][C]0.391844371951423[/C][/ROW]
[ROW][C]0.1[/C][C]73.1360415567883[/C][C]0.377483194481769[/C][/ROW]
[ROW][C]0.11[/C][C]73.2680776069649[/C][C]0.40761599553701[/C][/ROW]
[ROW][C]0.12[/C][C]73.4060708195286[/C][C]0.494853767602091[/C][/ROW]
[ROW][C]0.13[/C][C]73.5627112299347[/C][C]0.628618091813854[/C][/ROW]
[ROW][C]0.14[/C][C]73.7481512468051[/C][C]0.786692181414945[/C][/ROW]
[ROW][C]0.15[/C][C]73.9672485254317[/C][C]0.942949705159036[/C][/ROW]
[ROW][C]0.16[/C][C]74.2184467844225[/C][C]1.07294900812507[/C][/ROW]
[ROW][C]0.17[/C][C]74.4943942854481[/C][C]1.15810922444669[/C][/ROW]
[ROW][C]0.18[/C][C]74.7839080979421[/C][C]1.18949340068816[/C][/ROW]
[ROW][C]0.19[/C][C]75.0746180153659[/C][C]1.16927642395146[/C][/ROW]
[ROW][C]0.2[/C][C]75.3555705045313[/C][C]1.10902056956311[/C][/ROW]
[ROW][C]0.21[/C][C]75.6192169118406[/C][C]1.02700095804787[/C][/ROW]
[ROW][C]0.22[/C][C]75.8624771943801[/C][C]0.944225591286894[/C][/ROW]
[ROW][C]0.23[/C][C]76.0868538408331[/C][C]0.881149234478572[/C][/ROW]
[ROW][C]0.24[/C][C]76.2977778019355[/C][C]0.855430564539335[/C][/ROW]
[ROW][C]0.25[/C][C]76.5034589450881[/C][C]0.878341379386489[/C][/ROW]
[ROW][C]0.26[/C][C]76.7135049969035[/C][C]0.952566933416962[/C][/ROW]
[ROW][C]0.27[/C][C]76.9375149154673[/C][C]1.072458974382[/C][/ROW]
[ROW][C]0.28[/C][C]77.1837933649534[/C][C]1.2259662371569[/C][/ROW]
[ROW][C]0.29[/C][C]77.4582962826875[/C][C]1.39784147459407[/C][/ROW]
[ROW][C]0.3[/C][C]77.763899879744[/C][C]1.57114634475366[/C][/ROW]
[ROW][C]0.31[/C][C]78.1000682558509[/C][C]1.72886304238176[/C][/ROW]
[ROW][C]0.32[/C][C]78.4629613012047[/C][C]1.85583509866987[/C][/ROW]
[ROW][C]0.33[/C][C]78.8459706489142[/C][C]1.94112904910746[/C][/ROW]
[ROW][C]0.34[/C][C]79.2406071975443[/C][C]1.97827806618881[/C][/ROW]
[ROW][C]0.35[/C][C]79.6376068727218[/C][C]1.96699487589203[/C][/ROW]
[ROW][C]0.36[/C][C]80.02808820701[/C][C]1.91225769647536[/C][/ROW]
[ROW][C]0.37[/C][C]80.4045943665728[/C][C]1.8239829646386[/C][/ROW]
[ROW][C]0.38[/C][C]80.7618819997554[/C][C]1.71482208325766[/C][/ROW]
[ROW][C]0.39[/C][C]81.0973708618217[/C][C]1.59929235745483[/C][/ROW]
[ROW][C]0.4[/C][C]81.4112295571398[/C][C]1.49185562653262[/C][/ROW]
[ROW][C]0.41[/C][C]81.7061324383015[/C][C]1.40558670987484[/C][/ROW]
[ROW][C]0.42[/C][C]81.9867715900617[/C][C]1.34992219255221[/C][/ROW]
[ROW][C]0.43[/C][C]82.2592393648285[/C][C]1.33121826448622[/C][/ROW]
[ROW][C]0.44[/C][C]82.5304068011958[/C][C]1.35074406435468[/C][/ROW]
[ROW][C]0.45[/C][C]82.8074094248352[/C][C]1.40727490708999[/C][/ROW]
[ROW][C]0.46[/C][C]83.0973155238262[/C][C]1.49804834864469[/C][/ROW]
[ROW][C]0.47[/C][C]83.4069983552792[/C][C]1.62088875183641[/C][/ROW]
[ROW][C]0.48[/C][C]83.7431728333445[/C][C]1.77490772864746[/C][/ROW]
[ROW][C]0.49[/C][C]84.1125025738696[/C][C]1.96158841337385[/C][/ROW]
[ROW][C]0.5[/C][C]84.5216491378403[/C][C]2.1824550148637[/C][/ROW]
[ROW][C]0.51[/C][C]84.9771335861998[/C][C]2.43790364889164[/C][/ROW]
[ROW][C]0.52[/C][C]85.4849162989497[/C][C]2.7249589060531[/C][/ROW]
[ROW][C]0.53[/C][C]86.0496707515494[/C][C]3.03504458551899[/C][/ROW]
[ROW][C]0.54[/C][C]86.6738174061312[/C][C]3.35390156117695[/C][/ROW]
[ROW][C]0.55[/C][C]87.3564742356813[/C][C]3.66066105138949[/C][/ROW]
[ROW][C]0.56[/C][C]88.0925463996535[/C][C]3.93038246894914[/C][/ROW]
[ROW][C]0.57[/C][C]88.872197520739[/C][C]4.13670939762198[/C][/ROW]
[ROW][C]0.58[/C][C]89.6809061909969[/C][C]4.25519698640998[/C][/ROW]
[ROW][C]0.59[/C][C]90.5002152819542[/C][C]4.26729378371859[/C][/ROW]
[ROW][C]0.6[/C][C]91.3091459842645[/C][C]4.16395870075116[/C][/ROW]
[ROW][C]0.61[/C][C]92.0861042263817[/C][C]3.94684468268303[/C][/ROW]
[ROW][C]0.62[/C][C]92.8109909681541[/C][C]3.62947766553361[/C][/ROW]
[ROW][C]0.63[/C][C]93.4671718192412[/C][C]3.23450638407476[/C][/ROW]
[ROW][C]0.64[/C][C]94.042982505586[/C][C]2.79136111854875[/C][/ROW]
[ROW][C]0.65[/C][C]94.5325408356338[/C][C]2.33131213010525[/C][/ROW]
[ROW][C]0.66[/C][C]94.9357784780501[/C][C]1.88419121624753[/C][/ROW]
[ROW][C]0.67[/C][C]95.2577595707816[/C][C]1.47439686173699[/C][/ROW]
[ROW][C]0.68[/C][C]95.5074793028999[/C][C]1.11881860230578[/C][/ROW]
[ROW][C]0.69[/C][C]95.6964061457859[/C][C]0.826510330216403[/C][/ROW]
[ROW][C]0.7[/C][C]95.8370364886017[/C][C]0.59928293286347[/C][/ROW]
[ROW][C]0.71[/C][C]95.941679118167[/C][C]0.433591959634018[/C][/ROW]
[ROW][C]0.72[/C][C]96.0216017511652[/C][C]0.322967354220943[/C][/ROW]
[ROW][C]0.73[/C][C]96.086579467347[/C][C]0.259749232602848[/C][/ROW]
[ROW][C]0.74[/C][C]96.1448075878285[/C][C]0.23571173104552[/C][/ROW]
[ROW][C]0.75[/C][C]96.2030912421256[/C][C]0.242306070657043[/C][/ROW]
[ROW][C]0.76[/C][C]96.2672013561793[/C][C]0.272235409256166[/C][/ROW]
[ROW][C]0.77[/C][C]96.3422849099985[/C][C]0.321253034330812[/C][/ROW]
[ROW][C]0.78[/C][C]96.4332264210094[/C][C]0.387625129246286[/C][/ROW]
[ROW][C]0.79[/C][C]96.5448709562993[/C][C]0.470740410282914[/C][/ROW]
[ROW][C]0.8[/C][C]96.6820358768859[/C][C]0.570042925343853[/C][/ROW]
[ROW][C]0.81[/C][C]96.8492640284298[/C][C]0.68326473648281[/C][/ROW]
[ROW][C]0.82[/C][C]97.0503119640815[/C][C]0.805762018100345[/C][/ROW]
[ROW][C]0.83[/C][C]97.2874249457062[/C][C]0.930017478087602[/C][/ROW]
[ROW][C]0.84[/C][C]97.5605172527266[/C][C]1.04554565411949[/C][/ROW]
[ROW][C]0.85[/C][C]97.866431979479[/C][C]1.13995080164918[/C][/ROW]
[ROW][C]0.86[/C][C]98.1984762769139[/C][C]1.20074504124532[/C][/ROW]
[ROW][C]0.87[/C][C]98.5464044687234[/C][C]1.21730094684662[/C][/ROW]
[ROW][C]0.88[/C][C]98.8969624746944[/C][C]1.18298731196627[/C][/ROW]
[ROW][C]0.89[/C][C]99.235035665477[/C][C]1.09679582161418[/C][/ROW]
[ROW][C]0.9[/C][C]99.5453680579151[/C][C]0.964023331579677[/C][/ROW]
[ROW][C]0.91[/C][C]99.8147172099297[/C][C]0.796543702984673[/C][/ROW]
[ROW][C]0.92[/C][C]100.034136200329[/C][C]0.612437904931148[/C][/ROW]
[ROW][C]0.93[/C][C]100.200856744732[/C][C]0.432988012767562[/C][/ROW]
[ROW][C]0.94[/C][C]100.319156941088[/C][C]0.27891317722474[/C][/ROW]
[ROW][C]0.95[/C][C]100.399916069592[/C][C]0.165105948786159[/C][/ROW]
[ROW][C]0.96[/C][C]100.459345804074[/C][C]0.0984136174482146[/C][/ROW]
[ROW][C]0.97[/C][C]100.517562154427[/C][C]0.0816630866435941[/C][/ROW]
[ROW][C]0.98[/C][C]100.59422131856[/C][C]0.113250614651222[/C][/ROW]
[ROW][C]0.99[/C][C]100.691808164261[/C][C]0.178528022788006[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0171.10616982063310.31551789805405
0.0271.36471426304640.563912811789004
0.0371.69284260427090.592727631924984
0.0472.00676098314520.514643569712011
0.0572.27100067871650.456661256517381
0.0672.49009853954820.443912826799801
0.0772.6790562223140.440331586889161
0.0872.84724776495780.421320670602945
0.0972.99833485599910.391844371951423
0.173.13604155678830.377483194481769
0.1173.26807760696490.40761599553701
0.1273.40607081952860.494853767602091
0.1373.56271122993470.628618091813854
0.1473.74815124680510.786692181414945
0.1573.96724852543170.942949705159036
0.1674.21844678442251.07294900812507
0.1774.49439428544811.15810922444669
0.1874.78390809794211.18949340068816
0.1975.07461801536591.16927642395146
0.275.35557050453131.10902056956311
0.2175.61921691184061.02700095804787
0.2275.86247719438010.944225591286894
0.2376.08685384083310.881149234478572
0.2476.29777780193550.855430564539335
0.2576.50345894508810.878341379386489
0.2676.71350499690350.952566933416962
0.2776.93751491546731.072458974382
0.2877.18379336495341.2259662371569
0.2977.45829628268751.39784147459407
0.377.7638998797441.57114634475366
0.3178.10006825585091.72886304238176
0.3278.46296130120471.85583509866987
0.3378.84597064891421.94112904910746
0.3479.24060719754431.97827806618881
0.3579.63760687272181.96699487589203
0.3680.028088207011.91225769647536
0.3780.40459436657281.8239829646386
0.3880.76188199975541.71482208325766
0.3981.09737086182171.59929235745483
0.481.41122955713981.49185562653262
0.4181.70613243830151.40558670987484
0.4281.98677159006171.34992219255221
0.4382.25923936482851.33121826448622
0.4482.53040680119581.35074406435468
0.4582.80740942483521.40727490708999
0.4683.09731552382621.49804834864469
0.4783.40699835527921.62088875183641
0.4883.74317283334451.77490772864746
0.4984.11250257386961.96158841337385
0.584.52164913784032.1824550148637
0.5184.97713358619982.43790364889164
0.5285.48491629894972.7249589060531
0.5386.04967075154943.03504458551899
0.5486.67381740613123.35390156117695
0.5587.35647423568133.66066105138949
0.5688.09254639965353.93038246894914
0.5788.8721975207394.13670939762198
0.5889.68090619099694.25519698640998
0.5990.50021528195424.26729378371859
0.691.30914598426454.16395870075116
0.6192.08610422638173.94684468268303
0.6292.81099096815413.62947766553361
0.6393.46717181924123.23450638407476
0.6494.0429825055862.79136111854875
0.6594.53254083563382.33131213010525
0.6694.93577847805011.88419121624753
0.6795.25775957078161.47439686173699
0.6895.50747930289991.11881860230578
0.6995.69640614578590.826510330216403
0.795.83703648860170.59928293286347
0.7195.9416791181670.433591959634018
0.7296.02160175116520.322967354220943
0.7396.0865794673470.259749232602848
0.7496.14480758782850.23571173104552
0.7596.20309124212560.242306070657043
0.7696.26720135617930.272235409256166
0.7796.34228490999850.321253034330812
0.7896.43322642100940.387625129246286
0.7996.54487095629930.470740410282914
0.896.68203587688590.570042925343853
0.8196.84926402842980.68326473648281
0.8297.05031196408150.805762018100345
0.8397.28742494570620.930017478087602
0.8497.56051725272661.04554565411949
0.8597.8664319794791.13995080164918
0.8698.19847627691391.20074504124532
0.8798.54640446872341.21730094684662
0.8898.89696247469441.18298731196627
0.8999.2350356654771.09679582161418
0.999.54536805791510.964023331579677
0.9199.81471720992970.796543702984673
0.92100.0341362003290.612437904931148
0.93100.2008567447320.432988012767562
0.94100.3191569410880.27891317722474
0.95100.3999160695920.165105948786159
0.96100.4593458040740.0984136174482146
0.97100.5175621544270.0816630866435941
0.98100.594221318560.113250614651222
0.99100.6918081642610.178528022788006


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')