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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 11:18:52 -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/27/t12251280061sjw3eulmrqqazc.htm/, Retrieved Mon, 27 May 2024 17:59:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19291, Retrieved Mon, 27 May 2024 17:59:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD  [Harrell-Davis Quantiles] [] [2008-10-25 15:15:47] [4c8dfb519edec2da3492d7e6be9a5685]
F    D      [Harrell-Davis Quantiles] [] [2008-10-27 17:18:52] [3817f5e632a8bfeb1be7b5e8c86bd450] [Current]
-   PD        [Harrell-Davis Quantiles] [] [2008-10-27 17:24:48] [077ffec662d24c06be4c491541a44245]
- R PD        [Harrell-Davis Quantiles] [distributions tas...] [2008-10-28 18:34:23] [077ffec662d24c06be4c491541a44245]
Feedback Forum
2008-10-28 18:40:58 [Glenn De Maeyer] [reply] 
Ik had hier best de step size op 0.005 gezet en dan zo de 95% confidence interval gezocht. (LINK: http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225218941tu23yhq8cllft65.htm)
Indien we dan onmiddellijk de R-code aanpassen (x <- x - 14294,27) krijgen we de interval (-3682.70426138767 - 3461.78581857339)
2008-11-03 20:51:31 [Thomas Baken] [reply] 
Ook in deze opdracht heeft de student gebruik gemaakt van de harress david quantilen terwijl het verstandiger was geweest om de R-code toch te veranderen. Door het aanpassen van de R-code bekomt men anders getallen. Bovendien moest de step size op 0.005 gezet worden om een confidence interval van 95% te zoeken.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12300,0
12092,8
12380,8
12196,9
9455,0
13168,0
13427,9
11980,5
11884,8
11691,7
12233,8
14341,4
13130,7
12421,1
14285,8
12864,6
11160,2
14316,2
14388,7
14013,9
13419,0
12769,6
13315,5
15332,9
14243,0
13824,4
14962,9
13202,9
12199,0
15508,9
14199,8
15169,6
14058,0
13786,2
14147,9
16541,7
13587,5
15582,4
15802,8
14130,5
12923,2
15612,2
16033,7
16036,6
14037,8
15330,6
15038,3
17401,8
14992,5
16043,7
16929,6
15921,3
14417,2
15961,0
17851,9
16483,9
14215,5
17429,7
17839,5
17629,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19291&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19291&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 time9 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019828.904969097181432.98982844021
0.0210351.07133880021100.53058231079
0.0310851.5707496427794.326745060933
0.0411245.9765416681564.877160141839
0.0511526.4465180862410.294922536895
0.0611718.6499873051310.787502284830
0.0711851.9791906889247.927041479448
0.0811948.6430890090208.617821725235
0.0912022.9872573683184.531035678622
0.112083.8280702699171.072634254138
0.1112136.7026722847166.313304750316
0.1212185.3339749807169.689221058016
0.1312232.4249956295180.706779004033
0.1412280.0247843661198.235790805269
0.1512329.6587228659220.449988910652
0.1612382.3534672586245.157505923171
0.1712438.6384050227270.049571041919
0.1812498.568759425293.038505488819
0.1912561.7877665793312.442756296121
0.212627.6260109782327.135984906393
0.2112695.2245133571336.662313175192
0.2212763.6634193178341.193651082427
0.2312832.078587013341.398727491646
0.2412899.7522958809338.377527765570
0.2512966.1700173544333.399140919954
0.2613031.0412311931327.718616244304
0.2713094.2875136433322.466388013748
0.2813156.0048820599318.459051836632
0.2913216.4094188015316.157377313516
0.313275.7756429244315.609438331587
0.3113334.3763004252316.534828349384
0.3213392.4306240647318.348812079253
0.3313450.0660572512320.310201617939
0.3413507.2962415991321.604225825096
0.3513564.0159473232321.457639791835
0.3613620.0117338435319.268994757482
0.3713674.9855884244314.571349875004
0.3813728.5877077711307.215687094724
0.3913780.4540383570297.244793170054
0.413830.2442053395284.942817636874
0.4113877.6759992955270.809797388761
0.4213922.5535417387255.468548303496
0.4313964.7874374579239.651981496696
0.4414004.4064318004224.130835082135
0.4514041.5611165797209.674999006556
0.4614076.5209080789197.039706070358
0.4714109.6657726965186.911734799076
0.4814141.4740142472179.950390887704
0.4914172.5069687959176.663702799060
0.514203.3908554487177.537250633328
0.5114234.7955141701182.798845095755
0.5214267.4095191922192.501131545381
0.5314301.9113220140206.451566318149
0.5414338.9366850277224.213069720085
0.5514379.0436303517245.063297439628
0.5614422.6772505896268.114097196533
0.5714470.1377325391292.276624715282
0.5814521.5555353261316.332672420022
0.5914576.8775982519339.085883523514
0.614635.8676108684359.361856989223
0.6114698.1218081343376.186683794401
0.6214763.0996839603388.841657416156
0.6314830.1668129970396.93630207456
0.6414898.6450599397400.423506912084
0.6514967.8642273441399.60732759179
0.6615037.2089080225395.06486822443
0.6715106.1550422249387.551889284623
0.6815174.2923159730377.939350575675
0.6915241.3308065515367.042506784307
0.715307.0928353062355.607465409959
0.7115371.4934694202344.124596027595
0.7215434.5152044026332.911252883098
0.7315496.1837852653322.076273668416
0.7415556.5526406371311.573139455151
0.7515615.7027717185301.328677707519
0.7615673.7629461807291.33591565511
0.7715730.9515963139281.825878866732
0.7815787.6370586641273.389663929395
0.7915844.4072464906267.059446008281
0.815902.1344635961264.322937790741
0.8115962.0170822625266.958806125617
0.8216025.5784296003276.62465057826
0.8316094.605278802294.383238122189
0.8416171.0140845518320.254506619163
0.8516256.6424617169352.966493513191
0.8616352.9765441604390.008665921449
0.8716460.8424751513427.715675306022
0.8816580.1125924555461.544306218862
0.8916709.5004969228486.386177012133
0.916846.532799272497.377503642822
0.9116987.7679335369490.917276787333
0.9217129.2607624464466.016956232747
0.9317267.1419468961425.139202603121
0.9417398.0403884481373.845052687806
0.9517519.0418444399318.491774893899
0.9617627.0933196993262.135006833372
0.9717718.2711417233201.957575993635
0.9817787.8689122505133.504438757062
0.9917832.212455575962.1240303778248

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9828.90496909718 & 1432.98982844021 \tabularnewline
0.02 & 10351.0713388002 & 1100.53058231079 \tabularnewline
0.03 & 10851.5707496427 & 794.326745060933 \tabularnewline
0.04 & 11245.9765416681 & 564.877160141839 \tabularnewline
0.05 & 11526.4465180862 & 410.294922536895 \tabularnewline
0.06 & 11718.6499873051 & 310.787502284830 \tabularnewline
0.07 & 11851.9791906889 & 247.927041479448 \tabularnewline
0.08 & 11948.6430890090 & 208.617821725235 \tabularnewline
0.09 & 12022.9872573683 & 184.531035678622 \tabularnewline
0.1 & 12083.8280702699 & 171.072634254138 \tabularnewline
0.11 & 12136.7026722847 & 166.313304750316 \tabularnewline
0.12 & 12185.3339749807 & 169.689221058016 \tabularnewline
0.13 & 12232.4249956295 & 180.706779004033 \tabularnewline
0.14 & 12280.0247843661 & 198.235790805269 \tabularnewline
0.15 & 12329.6587228659 & 220.449988910652 \tabularnewline
0.16 & 12382.3534672586 & 245.157505923171 \tabularnewline
0.17 & 12438.6384050227 & 270.049571041919 \tabularnewline
0.18 & 12498.568759425 & 293.038505488819 \tabularnewline
0.19 & 12561.7877665793 & 312.442756296121 \tabularnewline
0.2 & 12627.6260109782 & 327.135984906393 \tabularnewline
0.21 & 12695.2245133571 & 336.662313175192 \tabularnewline
0.22 & 12763.6634193178 & 341.193651082427 \tabularnewline
0.23 & 12832.078587013 & 341.398727491646 \tabularnewline
0.24 & 12899.7522958809 & 338.377527765570 \tabularnewline
0.25 & 12966.1700173544 & 333.399140919954 \tabularnewline
0.26 & 13031.0412311931 & 327.718616244304 \tabularnewline
0.27 & 13094.2875136433 & 322.466388013748 \tabularnewline
0.28 & 13156.0048820599 & 318.459051836632 \tabularnewline
0.29 & 13216.4094188015 & 316.157377313516 \tabularnewline
0.3 & 13275.7756429244 & 315.609438331587 \tabularnewline
0.31 & 13334.3763004252 & 316.534828349384 \tabularnewline
0.32 & 13392.4306240647 & 318.348812079253 \tabularnewline
0.33 & 13450.0660572512 & 320.310201617939 \tabularnewline
0.34 & 13507.2962415991 & 321.604225825096 \tabularnewline
0.35 & 13564.0159473232 & 321.457639791835 \tabularnewline
0.36 & 13620.0117338435 & 319.268994757482 \tabularnewline
0.37 & 13674.9855884244 & 314.571349875004 \tabularnewline
0.38 & 13728.5877077711 & 307.215687094724 \tabularnewline
0.39 & 13780.4540383570 & 297.244793170054 \tabularnewline
0.4 & 13830.2442053395 & 284.942817636874 \tabularnewline
0.41 & 13877.6759992955 & 270.809797388761 \tabularnewline
0.42 & 13922.5535417387 & 255.468548303496 \tabularnewline
0.43 & 13964.7874374579 & 239.651981496696 \tabularnewline
0.44 & 14004.4064318004 & 224.130835082135 \tabularnewline
0.45 & 14041.5611165797 & 209.674999006556 \tabularnewline
0.46 & 14076.5209080789 & 197.039706070358 \tabularnewline
0.47 & 14109.6657726965 & 186.911734799076 \tabularnewline
0.48 & 14141.4740142472 & 179.950390887704 \tabularnewline
0.49 & 14172.5069687959 & 176.663702799060 \tabularnewline
0.5 & 14203.3908554487 & 177.537250633328 \tabularnewline
0.51 & 14234.7955141701 & 182.798845095755 \tabularnewline
0.52 & 14267.4095191922 & 192.501131545381 \tabularnewline
0.53 & 14301.9113220140 & 206.451566318149 \tabularnewline
0.54 & 14338.9366850277 & 224.213069720085 \tabularnewline
0.55 & 14379.0436303517 & 245.063297439628 \tabularnewline
0.56 & 14422.6772505896 & 268.114097196533 \tabularnewline
0.57 & 14470.1377325391 & 292.276624715282 \tabularnewline
0.58 & 14521.5555353261 & 316.332672420022 \tabularnewline
0.59 & 14576.8775982519 & 339.085883523514 \tabularnewline
0.6 & 14635.8676108684 & 359.361856989223 \tabularnewline
0.61 & 14698.1218081343 & 376.186683794401 \tabularnewline
0.62 & 14763.0996839603 & 388.841657416156 \tabularnewline
0.63 & 14830.1668129970 & 396.93630207456 \tabularnewline
0.64 & 14898.6450599397 & 400.423506912084 \tabularnewline
0.65 & 14967.8642273441 & 399.60732759179 \tabularnewline
0.66 & 15037.2089080225 & 395.06486822443 \tabularnewline
0.67 & 15106.1550422249 & 387.551889284623 \tabularnewline
0.68 & 15174.2923159730 & 377.939350575675 \tabularnewline
0.69 & 15241.3308065515 & 367.042506784307 \tabularnewline
0.7 & 15307.0928353062 & 355.607465409959 \tabularnewline
0.71 & 15371.4934694202 & 344.124596027595 \tabularnewline
0.72 & 15434.5152044026 & 332.911252883098 \tabularnewline
0.73 & 15496.1837852653 & 322.076273668416 \tabularnewline
0.74 & 15556.5526406371 & 311.573139455151 \tabularnewline
0.75 & 15615.7027717185 & 301.328677707519 \tabularnewline
0.76 & 15673.7629461807 & 291.33591565511 \tabularnewline
0.77 & 15730.9515963139 & 281.825878866732 \tabularnewline
0.78 & 15787.6370586641 & 273.389663929395 \tabularnewline
0.79 & 15844.4072464906 & 267.059446008281 \tabularnewline
0.8 & 15902.1344635961 & 264.322937790741 \tabularnewline
0.81 & 15962.0170822625 & 266.958806125617 \tabularnewline
0.82 & 16025.5784296003 & 276.62465057826 \tabularnewline
0.83 & 16094.605278802 & 294.383238122189 \tabularnewline
0.84 & 16171.0140845518 & 320.254506619163 \tabularnewline
0.85 & 16256.6424617169 & 352.966493513191 \tabularnewline
0.86 & 16352.9765441604 & 390.008665921449 \tabularnewline
0.87 & 16460.8424751513 & 427.715675306022 \tabularnewline
0.88 & 16580.1125924555 & 461.544306218862 \tabularnewline
0.89 & 16709.5004969228 & 486.386177012133 \tabularnewline
0.9 & 16846.532799272 & 497.377503642822 \tabularnewline
0.91 & 16987.7679335369 & 490.917276787333 \tabularnewline
0.92 & 17129.2607624464 & 466.016956232747 \tabularnewline
0.93 & 17267.1419468961 & 425.139202603121 \tabularnewline
0.94 & 17398.0403884481 & 373.845052687806 \tabularnewline
0.95 & 17519.0418444399 & 318.491774893899 \tabularnewline
0.96 & 17627.0933196993 & 262.135006833372 \tabularnewline
0.97 & 17718.2711417233 & 201.957575993635 \tabularnewline
0.98 & 17787.8689122505 & 133.504438757062 \tabularnewline
0.99 & 17832.2124555759 & 62.1240303778248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19291&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]9828.90496909718[/C][C]1432.98982844021[/C][/ROW]
[ROW][C]0.02[/C][C]10351.0713388002[/C][C]1100.53058231079[/C][/ROW]
[ROW][C]0.03[/C][C]10851.5707496427[/C][C]794.326745060933[/C][/ROW]
[ROW][C]0.04[/C][C]11245.9765416681[/C][C]564.877160141839[/C][/ROW]
[ROW][C]0.05[/C][C]11526.4465180862[/C][C]410.294922536895[/C][/ROW]
[ROW][C]0.06[/C][C]11718.6499873051[/C][C]310.787502284830[/C][/ROW]
[ROW][C]0.07[/C][C]11851.9791906889[/C][C]247.927041479448[/C][/ROW]
[ROW][C]0.08[/C][C]11948.6430890090[/C][C]208.617821725235[/C][/ROW]
[ROW][C]0.09[/C][C]12022.9872573683[/C][C]184.531035678622[/C][/ROW]
[ROW][C]0.1[/C][C]12083.8280702699[/C][C]171.072634254138[/C][/ROW]
[ROW][C]0.11[/C][C]12136.7026722847[/C][C]166.313304750316[/C][/ROW]
[ROW][C]0.12[/C][C]12185.3339749807[/C][C]169.689221058016[/C][/ROW]
[ROW][C]0.13[/C][C]12232.4249956295[/C][C]180.706779004033[/C][/ROW]
[ROW][C]0.14[/C][C]12280.0247843661[/C][C]198.235790805269[/C][/ROW]
[ROW][C]0.15[/C][C]12329.6587228659[/C][C]220.449988910652[/C][/ROW]
[ROW][C]0.16[/C][C]12382.3534672586[/C][C]245.157505923171[/C][/ROW]
[ROW][C]0.17[/C][C]12438.6384050227[/C][C]270.049571041919[/C][/ROW]
[ROW][C]0.18[/C][C]12498.568759425[/C][C]293.038505488819[/C][/ROW]
[ROW][C]0.19[/C][C]12561.7877665793[/C][C]312.442756296121[/C][/ROW]
[ROW][C]0.2[/C][C]12627.6260109782[/C][C]327.135984906393[/C][/ROW]
[ROW][C]0.21[/C][C]12695.2245133571[/C][C]336.662313175192[/C][/ROW]
[ROW][C]0.22[/C][C]12763.6634193178[/C][C]341.193651082427[/C][/ROW]
[ROW][C]0.23[/C][C]12832.078587013[/C][C]341.398727491646[/C][/ROW]
[ROW][C]0.24[/C][C]12899.7522958809[/C][C]338.377527765570[/C][/ROW]
[ROW][C]0.25[/C][C]12966.1700173544[/C][C]333.399140919954[/C][/ROW]
[ROW][C]0.26[/C][C]13031.0412311931[/C][C]327.718616244304[/C][/ROW]
[ROW][C]0.27[/C][C]13094.2875136433[/C][C]322.466388013748[/C][/ROW]
[ROW][C]0.28[/C][C]13156.0048820599[/C][C]318.459051836632[/C][/ROW]
[ROW][C]0.29[/C][C]13216.4094188015[/C][C]316.157377313516[/C][/ROW]
[ROW][C]0.3[/C][C]13275.7756429244[/C][C]315.609438331587[/C][/ROW]
[ROW][C]0.31[/C][C]13334.3763004252[/C][C]316.534828349384[/C][/ROW]
[ROW][C]0.32[/C][C]13392.4306240647[/C][C]318.348812079253[/C][/ROW]
[ROW][C]0.33[/C][C]13450.0660572512[/C][C]320.310201617939[/C][/ROW]
[ROW][C]0.34[/C][C]13507.2962415991[/C][C]321.604225825096[/C][/ROW]
[ROW][C]0.35[/C][C]13564.0159473232[/C][C]321.457639791835[/C][/ROW]
[ROW][C]0.36[/C][C]13620.0117338435[/C][C]319.268994757482[/C][/ROW]
[ROW][C]0.37[/C][C]13674.9855884244[/C][C]314.571349875004[/C][/ROW]
[ROW][C]0.38[/C][C]13728.5877077711[/C][C]307.215687094724[/C][/ROW]
[ROW][C]0.39[/C][C]13780.4540383570[/C][C]297.244793170054[/C][/ROW]
[ROW][C]0.4[/C][C]13830.2442053395[/C][C]284.942817636874[/C][/ROW]
[ROW][C]0.41[/C][C]13877.6759992955[/C][C]270.809797388761[/C][/ROW]
[ROW][C]0.42[/C][C]13922.5535417387[/C][C]255.468548303496[/C][/ROW]
[ROW][C]0.43[/C][C]13964.7874374579[/C][C]239.651981496696[/C][/ROW]
[ROW][C]0.44[/C][C]14004.4064318004[/C][C]224.130835082135[/C][/ROW]
[ROW][C]0.45[/C][C]14041.5611165797[/C][C]209.674999006556[/C][/ROW]
[ROW][C]0.46[/C][C]14076.5209080789[/C][C]197.039706070358[/C][/ROW]
[ROW][C]0.47[/C][C]14109.6657726965[/C][C]186.911734799076[/C][/ROW]
[ROW][C]0.48[/C][C]14141.4740142472[/C][C]179.950390887704[/C][/ROW]
[ROW][C]0.49[/C][C]14172.5069687959[/C][C]176.663702799060[/C][/ROW]
[ROW][C]0.5[/C][C]14203.3908554487[/C][C]177.537250633328[/C][/ROW]
[ROW][C]0.51[/C][C]14234.7955141701[/C][C]182.798845095755[/C][/ROW]
[ROW][C]0.52[/C][C]14267.4095191922[/C][C]192.501131545381[/C][/ROW]
[ROW][C]0.53[/C][C]14301.9113220140[/C][C]206.451566318149[/C][/ROW]
[ROW][C]0.54[/C][C]14338.9366850277[/C][C]224.213069720085[/C][/ROW]
[ROW][C]0.55[/C][C]14379.0436303517[/C][C]245.063297439628[/C][/ROW]
[ROW][C]0.56[/C][C]14422.6772505896[/C][C]268.114097196533[/C][/ROW]
[ROW][C]0.57[/C][C]14470.1377325391[/C][C]292.276624715282[/C][/ROW]
[ROW][C]0.58[/C][C]14521.5555353261[/C][C]316.332672420022[/C][/ROW]
[ROW][C]0.59[/C][C]14576.8775982519[/C][C]339.085883523514[/C][/ROW]
[ROW][C]0.6[/C][C]14635.8676108684[/C][C]359.361856989223[/C][/ROW]
[ROW][C]0.61[/C][C]14698.1218081343[/C][C]376.186683794401[/C][/ROW]
[ROW][C]0.62[/C][C]14763.0996839603[/C][C]388.841657416156[/C][/ROW]
[ROW][C]0.63[/C][C]14830.1668129970[/C][C]396.93630207456[/C][/ROW]
[ROW][C]0.64[/C][C]14898.6450599397[/C][C]400.423506912084[/C][/ROW]
[ROW][C]0.65[/C][C]14967.8642273441[/C][C]399.60732759179[/C][/ROW]
[ROW][C]0.66[/C][C]15037.2089080225[/C][C]395.06486822443[/C][/ROW]
[ROW][C]0.67[/C][C]15106.1550422249[/C][C]387.551889284623[/C][/ROW]
[ROW][C]0.68[/C][C]15174.2923159730[/C][C]377.939350575675[/C][/ROW]
[ROW][C]0.69[/C][C]15241.3308065515[/C][C]367.042506784307[/C][/ROW]
[ROW][C]0.7[/C][C]15307.0928353062[/C][C]355.607465409959[/C][/ROW]
[ROW][C]0.71[/C][C]15371.4934694202[/C][C]344.124596027595[/C][/ROW]
[ROW][C]0.72[/C][C]15434.5152044026[/C][C]332.911252883098[/C][/ROW]
[ROW][C]0.73[/C][C]15496.1837852653[/C][C]322.076273668416[/C][/ROW]
[ROW][C]0.74[/C][C]15556.5526406371[/C][C]311.573139455151[/C][/ROW]
[ROW][C]0.75[/C][C]15615.7027717185[/C][C]301.328677707519[/C][/ROW]
[ROW][C]0.76[/C][C]15673.7629461807[/C][C]291.33591565511[/C][/ROW]
[ROW][C]0.77[/C][C]15730.9515963139[/C][C]281.825878866732[/C][/ROW]
[ROW][C]0.78[/C][C]15787.6370586641[/C][C]273.389663929395[/C][/ROW]
[ROW][C]0.79[/C][C]15844.4072464906[/C][C]267.059446008281[/C][/ROW]
[ROW][C]0.8[/C][C]15902.1344635961[/C][C]264.322937790741[/C][/ROW]
[ROW][C]0.81[/C][C]15962.0170822625[/C][C]266.958806125617[/C][/ROW]
[ROW][C]0.82[/C][C]16025.5784296003[/C][C]276.62465057826[/C][/ROW]
[ROW][C]0.83[/C][C]16094.605278802[/C][C]294.383238122189[/C][/ROW]
[ROW][C]0.84[/C][C]16171.0140845518[/C][C]320.254506619163[/C][/ROW]
[ROW][C]0.85[/C][C]16256.6424617169[/C][C]352.966493513191[/C][/ROW]
[ROW][C]0.86[/C][C]16352.9765441604[/C][C]390.008665921449[/C][/ROW]
[ROW][C]0.87[/C][C]16460.8424751513[/C][C]427.715675306022[/C][/ROW]
[ROW][C]0.88[/C][C]16580.1125924555[/C][C]461.544306218862[/C][/ROW]
[ROW][C]0.89[/C][C]16709.5004969228[/C][C]486.386177012133[/C][/ROW]
[ROW][C]0.9[/C][C]16846.532799272[/C][C]497.377503642822[/C][/ROW]
[ROW][C]0.91[/C][C]16987.7679335369[/C][C]490.917276787333[/C][/ROW]
[ROW][C]0.92[/C][C]17129.2607624464[/C][C]466.016956232747[/C][/ROW]
[ROW][C]0.93[/C][C]17267.1419468961[/C][C]425.139202603121[/C][/ROW]
[ROW][C]0.94[/C][C]17398.0403884481[/C][C]373.845052687806[/C][/ROW]
[ROW][C]0.95[/C][C]17519.0418444399[/C][C]318.491774893899[/C][/ROW]
[ROW][C]0.96[/C][C]17627.0933196993[/C][C]262.135006833372[/C][/ROW]
[ROW][C]0.97[/C][C]17718.2711417233[/C][C]201.957575993635[/C][/ROW]
[ROW][C]0.98[/C][C]17787.8689122505[/C][C]133.504438757062[/C][/ROW]
[ROW][C]0.99[/C][C]17832.2124555759[/C][C]62.1240303778248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19291&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
0.019828.904969097181432.98982844021
0.0210351.07133880021100.53058231079
0.0310851.5707496427794.326745060933
0.0411245.9765416681564.877160141839
0.0511526.4465180862410.294922536895
0.0611718.6499873051310.787502284830
0.0711851.9791906889247.927041479448
0.0811948.6430890090208.617821725235
0.0912022.9872573683184.531035678622
0.112083.8280702699171.072634254138
0.1112136.7026722847166.313304750316
0.1212185.3339749807169.689221058016
0.1312232.4249956295180.706779004033
0.1412280.0247843661198.235790805269
0.1512329.6587228659220.449988910652
0.1612382.3534672586245.157505923171
0.1712438.6384050227270.049571041919
0.1812498.568759425293.038505488819
0.1912561.7877665793312.442756296121
0.212627.6260109782327.135984906393
0.2112695.2245133571336.662313175192
0.2212763.6634193178341.193651082427
0.2312832.078587013341.398727491646
0.2412899.7522958809338.377527765570
0.2512966.1700173544333.399140919954
0.2613031.0412311931327.718616244304
0.2713094.2875136433322.466388013748
0.2813156.0048820599318.459051836632
0.2913216.4094188015316.157377313516
0.313275.7756429244315.609438331587
0.3113334.3763004252316.534828349384
0.3213392.4306240647318.348812079253
0.3313450.0660572512320.310201617939
0.3413507.2962415991321.604225825096
0.3513564.0159473232321.457639791835
0.3613620.0117338435319.268994757482
0.3713674.9855884244314.571349875004
0.3813728.5877077711307.215687094724
0.3913780.4540383570297.244793170054
0.413830.2442053395284.942817636874
0.4113877.6759992955270.809797388761
0.4213922.5535417387255.468548303496
0.4313964.7874374579239.651981496696
0.4414004.4064318004224.130835082135
0.4514041.5611165797209.674999006556
0.4614076.5209080789197.039706070358
0.4714109.6657726965186.911734799076
0.4814141.4740142472179.950390887704
0.4914172.5069687959176.663702799060
0.514203.3908554487177.537250633328
0.5114234.7955141701182.798845095755
0.5214267.4095191922192.501131545381
0.5314301.9113220140206.451566318149
0.5414338.9366850277224.213069720085
0.5514379.0436303517245.063297439628
0.5614422.6772505896268.114097196533
0.5714470.1377325391292.276624715282
0.5814521.5555353261316.332672420022
0.5914576.8775982519339.085883523514
0.614635.8676108684359.361856989223
0.6114698.1218081343376.186683794401
0.6214763.0996839603388.841657416156
0.6314830.1668129970396.93630207456
0.6414898.6450599397400.423506912084
0.6514967.8642273441399.60732759179
0.6615037.2089080225395.06486822443
0.6715106.1550422249387.551889284623
0.6815174.2923159730377.939350575675
0.6915241.3308065515367.042506784307
0.715307.0928353062355.607465409959
0.7115371.4934694202344.124596027595
0.7215434.5152044026332.911252883098
0.7315496.1837852653322.076273668416
0.7415556.5526406371311.573139455151
0.7515615.7027717185301.328677707519
0.7615673.7629461807291.33591565511
0.7715730.9515963139281.825878866732
0.7815787.6370586641273.389663929395
0.7915844.4072464906267.059446008281
0.815902.1344635961264.322937790741
0.8115962.0170822625266.958806125617
0.8216025.5784296003276.62465057826
0.8316094.605278802294.383238122189
0.8416171.0140845518320.254506619163
0.8516256.6424617169352.966493513191
0.8616352.9765441604390.008665921449
0.8716460.8424751513427.715675306022
0.8816580.1125924555461.544306218862
0.8916709.5004969228486.386177012133
0.916846.532799272497.377503642822
0.9116987.7679335369490.917276787333
0.9217129.2607624464466.016956232747
0.9317267.1419468961425.139202603121
0.9417398.0403884481373.845052687806
0.9517519.0418444399318.491774893899
0.9617627.0933196993262.135006833372
0.9717718.2711417233201.957575993635
0.9817787.8689122505133.504438757062
0.9917832.212455575962.1240303778248


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')