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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 11:24:48 -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/t1225128329mntqxg8ih8360ji.htm/, Retrieved Sun, 19 May 2024 06:02:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19300, Retrieved Sun, 19 May 2024 06:02:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

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] [077ffec662d24c06be4c491541a44245]
-   PD        [Harrell-Davis Quantiles] [] [2008-10-27 17:24:48] [3817f5e632a8bfeb1be7b5e8c86bd450] [Current]
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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 time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19300&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19300&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019828.904969097181432.98982844021
0.01510083.57620686451269.46801576403
0.0210351.07133880021100.53058231079
0.02510611.5657386123939.354213650784
0.0310851.5707496427794.326745060933
0.03511063.8072064579669.341363277957
0.0411245.9765416681564.877160141839
0.04511399.1780129235479.370430407712
0.0511526.4465180862410.294922536895
0.05511631.6303642373354.933109705616
0.0611718.6499873051310.787502284830
0.06511791.0820842808275.717601559577
0.0711851.9791906889247.927041479448
0.07511903.8373008240225.945745161577
0.0811948.6430890090208.617821725235
0.08511987.9544870200195.034743681219
0.0912022.9872573683184.531035678622
0.09512054.6937001989176.646077329804
0.112083.8280702699171.072634254138
0.10512110.9979110226167.654455329656
0.1112136.7026722847166.313304750316
0.11512161.3617293223167.006449034164
0.1212185.3339749807169.689221058016
0.12512208.9309277361174.304827586873
0.1312232.4249956295180.706779004033
0.13512256.0542465477188.764164824382
0.1412280.0247843661198.235790805269
0.14512304.5116174266208.885162892912
0.1512329.6587228659220.449988910652
0.15512355.5788503256232.634418818964
0.1612382.3534672586245.157505923171
0.16512410.0331235429257.723815285351
0.1712438.6384050227270.049571041919
0.17512468.1615539820281.897168547982
0.1812498.568759425293.038505488819
0.18512529.8030609912303.270438215275
0.1912561.7877665793312.442756296121
0.19512594.4302541201320.427439639990
0.212627.6260109782327.135984906393
0.20512661.262758582332.553286198482
0.2112695.2245133571336.662313175192
0.21512729.3954461488339.516115832290
0.2212763.6634193178341.193651082427
0.22512797.9231018974341.77293585726
0.2312832.078587013341.398727491646
0.23512866.0454606869340.212648163574
0.2412899.7522958809338.377527765570
0.24512933.1415690153336.053840747183
0.2512966.1700173544333.399140919954
0.25512998.8084738832330.563925126796
0.2613031.0412311931327.718616244304
0.26513062.8649972401324.989881248975
0.2713094.2875136433322.466388013748
0.27513125.3259116251320.268114000089
0.2813156.0048820599318.459051836632
0.28513186.3547347886317.080453444675
0.2913216.4094188015316.157377313516
0.29513246.2045695495315.675989247375
0.313275.7756429244315.609438331587
0.30513305.1561877659315.924253121229
0.3113334.3763004252316.534828349384
0.31513363.4612962478317.383084074156
0.3213392.4306240647318.348812079253
0.32513421.2970410966319.367643391695
0.3313450.0660572512320.310201617939
0.33513478.7356497603321.093427893757
0.3413507.2962415991321.604225825096
0.34513535.7309302582321.745504968985
0.3513564.0159473232321.457639791835
0.35513592.1213240539320.643674267881
0.3613620.0117338435319.268994757482
0.36513647.6474791638317.246254831499
0.3713674.9855884244314.571349875004
0.37513701.9809871245311.230299136672
0.3813728.5877077711307.215687094724
0.38513754.7601042248302.546429319803
0.3913780.4540383570297.244793170054
0.39513805.6280100334291.360434177013
0.413830.2442053395284.942817636874
0.40513854.2694424365278.066007282836
0.4113877.6759992955270.809797388761
0.41513900.4423125613263.247017040265
0.4213922.5535417387255.468548303496
0.42513944.0019975469247.575310873948
0.4313964.7874374579239.651981496696
0.43513984.9172349572231.802676406642
0.4414004.4064318004224.130835082135
0.44514023.2776844172216.726123831831
0.4514041.5611165797209.674999006556
0.45514059.2940905372203.087955749085
0.4614076.5209080789197.039706070358
0.46514093.2924515320191.626368678565
0.4714109.6657726965186.911734799076
0.47514125.7036353293183.000379793523
0.4814141.4740142472179.950390887704
0.48514157.0495516186177.817990557264
0.4914172.5069687959176.663702799060
0.49514187.926430296176.568720069410
0.514203.3908554487177.537250633328
0.50514218.9851729511179.600834755951
0.5114234.7955141701182.798845095755
0.51514250.9083425821187.091155571371
0.5214267.4095191922192.501131545381
0.52514284.3833070586198.963515356688
0.5314301.9113220140206.451566318149
0.53514320.0714411165214.899225399882
0.5414338.9366850277224.213069720085
0.54514358.5740951216234.301734688167
0.5514379.0436303517245.063297439628
0.55514400.3971124503256.381494613787
0.5614422.6772505896268.114097196533
0.56514445.9167779539280.133250188857
0.5714470.1377325391292.276624715282
0.57514495.3509127879304.395473482386
0.5814521.5555353261316.332672420022
0.58514548.7391171508327.95215230437
0.5914576.8775982519339.085883523514
0.59514605.9357130874349.597746107408
0.614635.8676108684359.361856989223
0.60514666.6177156443368.256744828404
0.6114698.1218081343376.186683794401
0.61514730.3083025709383.060381834105
0.6214763.0996839603388.841657416156
0.62514796.4140645211393.466824259485
0.6314830.1668129970396.93630207456
0.63514864.2722073235399.244246109358
0.6414898.6450599397400.423506912084
0.64514933.2022659513400.529192443144
0.6514967.8642273441399.60732759179
0.65515002.5561113856397.756011835482
0.6615037.2089080225395.06486822443
0.66515071.7602591964391.631093009878
0.6715106.1550422249387.551889284623
0.67515140.3456993600382.960356274064
0.6815174.2923159730377.939350575675
0.68515207.962460158372.60765112785
0.6915241.3308065515367.042506784307
0.69515274.3785765213361.365118154824
0.715307.0928353062355.607465409959
0.70515339.4656939169349.846474479899
0.7115371.4934694202344.124596027595
0.71515403.1758613702338.474816116847
0.7215434.5152044026332.911252883098
0.72515465.5158571348327.443715359116
0.7315496.1837852653322.076273668416
0.73515526.5263919191316.787787889842
0.7415556.5526406371311.573139455151
0.74515586.2735058033306.423301168372
0.7515615.7027717185301.328677707519
0.75515644.8581850368296.292876585976
0.7615673.7629461807291.33591565511
0.76515702.4475041238286.493832672502
0.7715730.9515963139281.825878866732
0.77515759.3264524678277.418214519192
0.7815787.6370586641273.389663929395
0.78515815.9643579069269.879342316535
0.7915844.4072464906267.059446008281
0.79515873.0842133821265.140241216774
0.815902.1344635961264.322937790741
0.80515931.7183670586264.860009656297
0.8115962.0170822625266.958806125617
0.81515993.2312193113270.826723762789
0.8216025.5784296003276.62465057826
0.82516059.2898391088284.458810741169
0.8316094.605278802294.383238122189
0.83516131.7673089388306.353787744073
0.8416171.0140845518320.254506619163
0.84516212.5711679154335.885084591408
0.8516256.6424617169352.966493513191
0.85516303.4005151076371.147401613794
0.8616352.9765441604390.008665921449
0.86516405.4506068277409.044893769753
0.8716460.8424751513427.715675306022
0.87516519.1038442417445.429093663486
0.8816580.1125924555461.544306218862
0.88516643.6698380379475.411875850328
0.8916709.5004969228486.386177012133
0.89516777.2579049421493.879265095783
0.916846.532799272497.377503642822
0.90516916.8665434595496.461579026891
0.9116987.7679335369490.917276787333
0.91517058.7322763748480.706809840896
0.9217129.2607624464466.016956232747
0.92517198.8775849447.285298683573
0.9317267.1419468961425.139202603121
0.93517333.6522345415400.37264305235
0.9417398.0403884481373.845052687806
0.94517459.9559968253346.355044871886
0.9517519.0418444399318.491774893899
0.95517574.9053765885290.479041525608
0.9617627.0933196993262.135006833372
0.96517675.0788311261232.878640972477
0.9717718.2711417233201.957575993635
0.97517756.0558185734168.809454452195
0.9817787.8689122505133.504438757062
0.98517813.300398729397.1501414545085
0.9917832.212455575962.1240303778248

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9828.90496909718 & 1432.98982844021 \tabularnewline
0.015 & 10083.5762068645 & 1269.46801576403 \tabularnewline
0.02 & 10351.0713388002 & 1100.53058231079 \tabularnewline
0.025 & 10611.5657386123 & 939.354213650784 \tabularnewline
0.03 & 10851.5707496427 & 794.326745060933 \tabularnewline
0.035 & 11063.8072064579 & 669.341363277957 \tabularnewline
0.04 & 11245.9765416681 & 564.877160141839 \tabularnewline
0.045 & 11399.1780129235 & 479.370430407712 \tabularnewline
0.05 & 11526.4465180862 & 410.294922536895 \tabularnewline
0.055 & 11631.6303642373 & 354.933109705616 \tabularnewline
0.06 & 11718.6499873051 & 310.787502284830 \tabularnewline
0.065 & 11791.0820842808 & 275.717601559577 \tabularnewline
0.07 & 11851.9791906889 & 247.927041479448 \tabularnewline
0.075 & 11903.8373008240 & 225.945745161577 \tabularnewline
0.08 & 11948.6430890090 & 208.617821725235 \tabularnewline
0.085 & 11987.9544870200 & 195.034743681219 \tabularnewline
0.09 & 12022.9872573683 & 184.531035678622 \tabularnewline
0.095 & 12054.6937001989 & 176.646077329804 \tabularnewline
0.1 & 12083.8280702699 & 171.072634254138 \tabularnewline
0.105 & 12110.9979110226 & 167.654455329656 \tabularnewline
0.11 & 12136.7026722847 & 166.313304750316 \tabularnewline
0.115 & 12161.3617293223 & 167.006449034164 \tabularnewline
0.12 & 12185.3339749807 & 169.689221058016 \tabularnewline
0.125 & 12208.9309277361 & 174.304827586873 \tabularnewline
0.13 & 12232.4249956295 & 180.706779004033 \tabularnewline
0.135 & 12256.0542465477 & 188.764164824382 \tabularnewline
0.14 & 12280.0247843661 & 198.235790805269 \tabularnewline
0.145 & 12304.5116174266 & 208.885162892912 \tabularnewline
0.15 & 12329.6587228659 & 220.449988910652 \tabularnewline
0.155 & 12355.5788503256 & 232.634418818964 \tabularnewline
0.16 & 12382.3534672586 & 245.157505923171 \tabularnewline
0.165 & 12410.0331235429 & 257.723815285351 \tabularnewline
0.17 & 12438.6384050227 & 270.049571041919 \tabularnewline
0.175 & 12468.1615539820 & 281.897168547982 \tabularnewline
0.18 & 12498.568759425 & 293.038505488819 \tabularnewline
0.185 & 12529.8030609912 & 303.270438215275 \tabularnewline
0.19 & 12561.7877665793 & 312.442756296121 \tabularnewline
0.195 & 12594.4302541201 & 320.427439639990 \tabularnewline
0.2 & 12627.6260109782 & 327.135984906393 \tabularnewline
0.205 & 12661.262758582 & 332.553286198482 \tabularnewline
0.21 & 12695.2245133571 & 336.662313175192 \tabularnewline
0.215 & 12729.3954461488 & 339.516115832290 \tabularnewline
0.22 & 12763.6634193178 & 341.193651082427 \tabularnewline
0.225 & 12797.9231018974 & 341.77293585726 \tabularnewline
0.23 & 12832.078587013 & 341.398727491646 \tabularnewline
0.235 & 12866.0454606869 & 340.212648163574 \tabularnewline
0.24 & 12899.7522958809 & 338.377527765570 \tabularnewline
0.245 & 12933.1415690153 & 336.053840747183 \tabularnewline
0.25 & 12966.1700173544 & 333.399140919954 \tabularnewline
0.255 & 12998.8084738832 & 330.563925126796 \tabularnewline
0.26 & 13031.0412311931 & 327.718616244304 \tabularnewline
0.265 & 13062.8649972401 & 324.989881248975 \tabularnewline
0.27 & 13094.2875136433 & 322.466388013748 \tabularnewline
0.275 & 13125.3259116251 & 320.268114000089 \tabularnewline
0.28 & 13156.0048820599 & 318.459051836632 \tabularnewline
0.285 & 13186.3547347886 & 317.080453444675 \tabularnewline
0.29 & 13216.4094188015 & 316.157377313516 \tabularnewline
0.295 & 13246.2045695495 & 315.675989247375 \tabularnewline
0.3 & 13275.7756429244 & 315.609438331587 \tabularnewline
0.305 & 13305.1561877659 & 315.924253121229 \tabularnewline
0.31 & 13334.3763004252 & 316.534828349384 \tabularnewline
0.315 & 13363.4612962478 & 317.383084074156 \tabularnewline
0.32 & 13392.4306240647 & 318.348812079253 \tabularnewline
0.325 & 13421.2970410966 & 319.367643391695 \tabularnewline
0.33 & 13450.0660572512 & 320.310201617939 \tabularnewline
0.335 & 13478.7356497603 & 321.093427893757 \tabularnewline
0.34 & 13507.2962415991 & 321.604225825096 \tabularnewline
0.345 & 13535.7309302582 & 321.745504968985 \tabularnewline
0.35 & 13564.0159473232 & 321.457639791835 \tabularnewline
0.355 & 13592.1213240539 & 320.643674267881 \tabularnewline
0.36 & 13620.0117338435 & 319.268994757482 \tabularnewline
0.365 & 13647.6474791638 & 317.246254831499 \tabularnewline
0.37 & 13674.9855884244 & 314.571349875004 \tabularnewline
0.375 & 13701.9809871245 & 311.230299136672 \tabularnewline
0.38 & 13728.5877077711 & 307.215687094724 \tabularnewline
0.385 & 13754.7601042248 & 302.546429319803 \tabularnewline
0.39 & 13780.4540383570 & 297.244793170054 \tabularnewline
0.395 & 13805.6280100334 & 291.360434177013 \tabularnewline
0.4 & 13830.2442053395 & 284.942817636874 \tabularnewline
0.405 & 13854.2694424365 & 278.066007282836 \tabularnewline
0.41 & 13877.6759992955 & 270.809797388761 \tabularnewline
0.415 & 13900.4423125613 & 263.247017040265 \tabularnewline
0.42 & 13922.5535417387 & 255.468548303496 \tabularnewline
0.425 & 13944.0019975469 & 247.575310873948 \tabularnewline
0.43 & 13964.7874374579 & 239.651981496696 \tabularnewline
0.435 & 13984.9172349572 & 231.802676406642 \tabularnewline
0.44 & 14004.4064318004 & 224.130835082135 \tabularnewline
0.445 & 14023.2776844172 & 216.726123831831 \tabularnewline
0.45 & 14041.5611165797 & 209.674999006556 \tabularnewline
0.455 & 14059.2940905372 & 203.087955749085 \tabularnewline
0.46 & 14076.5209080789 & 197.039706070358 \tabularnewline
0.465 & 14093.2924515320 & 191.626368678565 \tabularnewline
0.47 & 14109.6657726965 & 186.911734799076 \tabularnewline
0.475 & 14125.7036353293 & 183.000379793523 \tabularnewline
0.48 & 14141.4740142472 & 179.950390887704 \tabularnewline
0.485 & 14157.0495516186 & 177.817990557264 \tabularnewline
0.49 & 14172.5069687959 & 176.663702799060 \tabularnewline
0.495 & 14187.926430296 & 176.568720069410 \tabularnewline
0.5 & 14203.3908554487 & 177.537250633328 \tabularnewline
0.505 & 14218.9851729511 & 179.600834755951 \tabularnewline
0.51 & 14234.7955141701 & 182.798845095755 \tabularnewline
0.515 & 14250.9083425821 & 187.091155571371 \tabularnewline
0.52 & 14267.4095191922 & 192.501131545381 \tabularnewline
0.525 & 14284.3833070586 & 198.963515356688 \tabularnewline
0.53 & 14301.9113220140 & 206.451566318149 \tabularnewline
0.535 & 14320.0714411165 & 214.899225399882 \tabularnewline
0.54 & 14338.9366850277 & 224.213069720085 \tabularnewline
0.545 & 14358.5740951216 & 234.301734688167 \tabularnewline
0.55 & 14379.0436303517 & 245.063297439628 \tabularnewline
0.555 & 14400.3971124503 & 256.381494613787 \tabularnewline
0.56 & 14422.6772505896 & 268.114097196533 \tabularnewline
0.565 & 14445.9167779539 & 280.133250188857 \tabularnewline
0.57 & 14470.1377325391 & 292.276624715282 \tabularnewline
0.575 & 14495.3509127879 & 304.395473482386 \tabularnewline
0.58 & 14521.5555353261 & 316.332672420022 \tabularnewline
0.585 & 14548.7391171508 & 327.95215230437 \tabularnewline
0.59 & 14576.8775982519 & 339.085883523514 \tabularnewline
0.595 & 14605.9357130874 & 349.597746107408 \tabularnewline
0.6 & 14635.8676108684 & 359.361856989223 \tabularnewline
0.605 & 14666.6177156443 & 368.256744828404 \tabularnewline
0.61 & 14698.1218081343 & 376.186683794401 \tabularnewline
0.615 & 14730.3083025709 & 383.060381834105 \tabularnewline
0.62 & 14763.0996839603 & 388.841657416156 \tabularnewline
0.625 & 14796.4140645211 & 393.466824259485 \tabularnewline
0.63 & 14830.1668129970 & 396.93630207456 \tabularnewline
0.635 & 14864.2722073235 & 399.244246109358 \tabularnewline
0.64 & 14898.6450599397 & 400.423506912084 \tabularnewline
0.645 & 14933.2022659513 & 400.529192443144 \tabularnewline
0.65 & 14967.8642273441 & 399.60732759179 \tabularnewline
0.655 & 15002.5561113856 & 397.756011835482 \tabularnewline
0.66 & 15037.2089080225 & 395.06486822443 \tabularnewline
0.665 & 15071.7602591964 & 391.631093009878 \tabularnewline
0.67 & 15106.1550422249 & 387.551889284623 \tabularnewline
0.675 & 15140.3456993600 & 382.960356274064 \tabularnewline
0.68 & 15174.2923159730 & 377.939350575675 \tabularnewline
0.685 & 15207.962460158 & 372.60765112785 \tabularnewline
0.69 & 15241.3308065515 & 367.042506784307 \tabularnewline
0.695 & 15274.3785765213 & 361.365118154824 \tabularnewline
0.7 & 15307.0928353062 & 355.607465409959 \tabularnewline
0.705 & 15339.4656939169 & 349.846474479899 \tabularnewline
0.71 & 15371.4934694202 & 344.124596027595 \tabularnewline
0.715 & 15403.1758613702 & 338.474816116847 \tabularnewline
0.72 & 15434.5152044026 & 332.911252883098 \tabularnewline
0.725 & 15465.5158571348 & 327.443715359116 \tabularnewline
0.73 & 15496.1837852653 & 322.076273668416 \tabularnewline
0.735 & 15526.5263919191 & 316.787787889842 \tabularnewline
0.74 & 15556.5526406371 & 311.573139455151 \tabularnewline
0.745 & 15586.2735058033 & 306.423301168372 \tabularnewline
0.75 & 15615.7027717185 & 301.328677707519 \tabularnewline
0.755 & 15644.8581850368 & 296.292876585976 \tabularnewline
0.76 & 15673.7629461807 & 291.33591565511 \tabularnewline
0.765 & 15702.4475041238 & 286.493832672502 \tabularnewline
0.77 & 15730.9515963139 & 281.825878866732 \tabularnewline
0.775 & 15759.3264524678 & 277.418214519192 \tabularnewline
0.78 & 15787.6370586641 & 273.389663929395 \tabularnewline
0.785 & 15815.9643579069 & 269.879342316535 \tabularnewline
0.79 & 15844.4072464906 & 267.059446008281 \tabularnewline
0.795 & 15873.0842133821 & 265.140241216774 \tabularnewline
0.8 & 15902.1344635961 & 264.322937790741 \tabularnewline
0.805 & 15931.7183670586 & 264.860009656297 \tabularnewline
0.81 & 15962.0170822625 & 266.958806125617 \tabularnewline
0.815 & 15993.2312193113 & 270.826723762789 \tabularnewline
0.82 & 16025.5784296003 & 276.62465057826 \tabularnewline
0.825 & 16059.2898391088 & 284.458810741169 \tabularnewline
0.83 & 16094.605278802 & 294.383238122189 \tabularnewline
0.835 & 16131.7673089388 & 306.353787744073 \tabularnewline
0.84 & 16171.0140845518 & 320.254506619163 \tabularnewline
0.845 & 16212.5711679154 & 335.885084591408 \tabularnewline
0.85 & 16256.6424617169 & 352.966493513191 \tabularnewline
0.855 & 16303.4005151076 & 371.147401613794 \tabularnewline
0.86 & 16352.9765441604 & 390.008665921449 \tabularnewline
0.865 & 16405.4506068277 & 409.044893769753 \tabularnewline
0.87 & 16460.8424751513 & 427.715675306022 \tabularnewline
0.875 & 16519.1038442417 & 445.429093663486 \tabularnewline
0.88 & 16580.1125924555 & 461.544306218862 \tabularnewline
0.885 & 16643.6698380379 & 475.411875850328 \tabularnewline
0.89 & 16709.5004969228 & 486.386177012133 \tabularnewline
0.895 & 16777.2579049421 & 493.879265095783 \tabularnewline
0.9 & 16846.532799272 & 497.377503642822 \tabularnewline
0.905 & 16916.8665434595 & 496.461579026891 \tabularnewline
0.91 & 16987.7679335369 & 490.917276787333 \tabularnewline
0.915 & 17058.7322763748 & 480.706809840896 \tabularnewline
0.92 & 17129.2607624464 & 466.016956232747 \tabularnewline
0.925 & 17198.8775849 & 447.285298683573 \tabularnewline
0.93 & 17267.1419468961 & 425.139202603121 \tabularnewline
0.935 & 17333.6522345415 & 400.37264305235 \tabularnewline
0.94 & 17398.0403884481 & 373.845052687806 \tabularnewline
0.945 & 17459.9559968253 & 346.355044871886 \tabularnewline
0.95 & 17519.0418444399 & 318.491774893899 \tabularnewline
0.955 & 17574.9053765885 & 290.479041525608 \tabularnewline
0.96 & 17627.0933196993 & 262.135006833372 \tabularnewline
0.965 & 17675.0788311261 & 232.878640972477 \tabularnewline
0.97 & 17718.2711417233 & 201.957575993635 \tabularnewline
0.975 & 17756.0558185734 & 168.809454452195 \tabularnewline
0.98 & 17787.8689122505 & 133.504438757062 \tabularnewline
0.985 & 17813.3003987293 & 97.1501414545085 \tabularnewline
0.99 & 17832.2124555759 & 62.1240303778248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19300&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]0.015[/C][C]10083.5762068645[/C][C]1269.46801576403[/C][/ROW]
[ROW][C]0.02[/C][C]10351.0713388002[/C][C]1100.53058231079[/C][/ROW]
[ROW][C]0.025[/C][C]10611.5657386123[/C][C]939.354213650784[/C][/ROW]
[ROW][C]0.03[/C][C]10851.5707496427[/C][C]794.326745060933[/C][/ROW]
[ROW][C]0.035[/C][C]11063.8072064579[/C][C]669.341363277957[/C][/ROW]
[ROW][C]0.04[/C][C]11245.9765416681[/C][C]564.877160141839[/C][/ROW]
[ROW][C]0.045[/C][C]11399.1780129235[/C][C]479.370430407712[/C][/ROW]
[ROW][C]0.05[/C][C]11526.4465180862[/C][C]410.294922536895[/C][/ROW]
[ROW][C]0.055[/C][C]11631.6303642373[/C][C]354.933109705616[/C][/ROW]
[ROW][C]0.06[/C][C]11718.6499873051[/C][C]310.787502284830[/C][/ROW]
[ROW][C]0.065[/C][C]11791.0820842808[/C][C]275.717601559577[/C][/ROW]
[ROW][C]0.07[/C][C]11851.9791906889[/C][C]247.927041479448[/C][/ROW]
[ROW][C]0.075[/C][C]11903.8373008240[/C][C]225.945745161577[/C][/ROW]
[ROW][C]0.08[/C][C]11948.6430890090[/C][C]208.617821725235[/C][/ROW]
[ROW][C]0.085[/C][C]11987.9544870200[/C][C]195.034743681219[/C][/ROW]
[ROW][C]0.09[/C][C]12022.9872573683[/C][C]184.531035678622[/C][/ROW]
[ROW][C]0.095[/C][C]12054.6937001989[/C][C]176.646077329804[/C][/ROW]
[ROW][C]0.1[/C][C]12083.8280702699[/C][C]171.072634254138[/C][/ROW]
[ROW][C]0.105[/C][C]12110.9979110226[/C][C]167.654455329656[/C][/ROW]
[ROW][C]0.11[/C][C]12136.7026722847[/C][C]166.313304750316[/C][/ROW]
[ROW][C]0.115[/C][C]12161.3617293223[/C][C]167.006449034164[/C][/ROW]
[ROW][C]0.12[/C][C]12185.3339749807[/C][C]169.689221058016[/C][/ROW]
[ROW][C]0.125[/C][C]12208.9309277361[/C][C]174.304827586873[/C][/ROW]
[ROW][C]0.13[/C][C]12232.4249956295[/C][C]180.706779004033[/C][/ROW]
[ROW][C]0.135[/C][C]12256.0542465477[/C][C]188.764164824382[/C][/ROW]
[ROW][C]0.14[/C][C]12280.0247843661[/C][C]198.235790805269[/C][/ROW]
[ROW][C]0.145[/C][C]12304.5116174266[/C][C]208.885162892912[/C][/ROW]
[ROW][C]0.15[/C][C]12329.6587228659[/C][C]220.449988910652[/C][/ROW]
[ROW][C]0.155[/C][C]12355.5788503256[/C][C]232.634418818964[/C][/ROW]
[ROW][C]0.16[/C][C]12382.3534672586[/C][C]245.157505923171[/C][/ROW]
[ROW][C]0.165[/C][C]12410.0331235429[/C][C]257.723815285351[/C][/ROW]
[ROW][C]0.17[/C][C]12438.6384050227[/C][C]270.049571041919[/C][/ROW]
[ROW][C]0.175[/C][C]12468.1615539820[/C][C]281.897168547982[/C][/ROW]
[ROW][C]0.18[/C][C]12498.568759425[/C][C]293.038505488819[/C][/ROW]
[ROW][C]0.185[/C][C]12529.8030609912[/C][C]303.270438215275[/C][/ROW]
[ROW][C]0.19[/C][C]12561.7877665793[/C][C]312.442756296121[/C][/ROW]
[ROW][C]0.195[/C][C]12594.4302541201[/C][C]320.427439639990[/C][/ROW]
[ROW][C]0.2[/C][C]12627.6260109782[/C][C]327.135984906393[/C][/ROW]
[ROW][C]0.205[/C][C]12661.262758582[/C][C]332.553286198482[/C][/ROW]
[ROW][C]0.21[/C][C]12695.2245133571[/C][C]336.662313175192[/C][/ROW]
[ROW][C]0.215[/C][C]12729.3954461488[/C][C]339.516115832290[/C][/ROW]
[ROW][C]0.22[/C][C]12763.6634193178[/C][C]341.193651082427[/C][/ROW]
[ROW][C]0.225[/C][C]12797.9231018974[/C][C]341.77293585726[/C][/ROW]
[ROW][C]0.23[/C][C]12832.078587013[/C][C]341.398727491646[/C][/ROW]
[ROW][C]0.235[/C][C]12866.0454606869[/C][C]340.212648163574[/C][/ROW]
[ROW][C]0.24[/C][C]12899.7522958809[/C][C]338.377527765570[/C][/ROW]
[ROW][C]0.245[/C][C]12933.1415690153[/C][C]336.053840747183[/C][/ROW]
[ROW][C]0.25[/C][C]12966.1700173544[/C][C]333.399140919954[/C][/ROW]
[ROW][C]0.255[/C][C]12998.8084738832[/C][C]330.563925126796[/C][/ROW]
[ROW][C]0.26[/C][C]13031.0412311931[/C][C]327.718616244304[/C][/ROW]
[ROW][C]0.265[/C][C]13062.8649972401[/C][C]324.989881248975[/C][/ROW]
[ROW][C]0.27[/C][C]13094.2875136433[/C][C]322.466388013748[/C][/ROW]
[ROW][C]0.275[/C][C]13125.3259116251[/C][C]320.268114000089[/C][/ROW]
[ROW][C]0.28[/C][C]13156.0048820599[/C][C]318.459051836632[/C][/ROW]
[ROW][C]0.285[/C][C]13186.3547347886[/C][C]317.080453444675[/C][/ROW]
[ROW][C]0.29[/C][C]13216.4094188015[/C][C]316.157377313516[/C][/ROW]
[ROW][C]0.295[/C][C]13246.2045695495[/C][C]315.675989247375[/C][/ROW]
[ROW][C]0.3[/C][C]13275.7756429244[/C][C]315.609438331587[/C][/ROW]
[ROW][C]0.305[/C][C]13305.1561877659[/C][C]315.924253121229[/C][/ROW]
[ROW][C]0.31[/C][C]13334.3763004252[/C][C]316.534828349384[/C][/ROW]
[ROW][C]0.315[/C][C]13363.4612962478[/C][C]317.383084074156[/C][/ROW]
[ROW][C]0.32[/C][C]13392.4306240647[/C][C]318.348812079253[/C][/ROW]
[ROW][C]0.325[/C][C]13421.2970410966[/C][C]319.367643391695[/C][/ROW]
[ROW][C]0.33[/C][C]13450.0660572512[/C][C]320.310201617939[/C][/ROW]
[ROW][C]0.335[/C][C]13478.7356497603[/C][C]321.093427893757[/C][/ROW]
[ROW][C]0.34[/C][C]13507.2962415991[/C][C]321.604225825096[/C][/ROW]
[ROW][C]0.345[/C][C]13535.7309302582[/C][C]321.745504968985[/C][/ROW]
[ROW][C]0.35[/C][C]13564.0159473232[/C][C]321.457639791835[/C][/ROW]
[ROW][C]0.355[/C][C]13592.1213240539[/C][C]320.643674267881[/C][/ROW]
[ROW][C]0.36[/C][C]13620.0117338435[/C][C]319.268994757482[/C][/ROW]
[ROW][C]0.365[/C][C]13647.6474791638[/C][C]317.246254831499[/C][/ROW]
[ROW][C]0.37[/C][C]13674.9855884244[/C][C]314.571349875004[/C][/ROW]
[ROW][C]0.375[/C][C]13701.9809871245[/C][C]311.230299136672[/C][/ROW]
[ROW][C]0.38[/C][C]13728.5877077711[/C][C]307.215687094724[/C][/ROW]
[ROW][C]0.385[/C][C]13754.7601042248[/C][C]302.546429319803[/C][/ROW]
[ROW][C]0.39[/C][C]13780.4540383570[/C][C]297.244793170054[/C][/ROW]
[ROW][C]0.395[/C][C]13805.6280100334[/C][C]291.360434177013[/C][/ROW]
[ROW][C]0.4[/C][C]13830.2442053395[/C][C]284.942817636874[/C][/ROW]
[ROW][C]0.405[/C][C]13854.2694424365[/C][C]278.066007282836[/C][/ROW]
[ROW][C]0.41[/C][C]13877.6759992955[/C][C]270.809797388761[/C][/ROW]
[ROW][C]0.415[/C][C]13900.4423125613[/C][C]263.247017040265[/C][/ROW]
[ROW][C]0.42[/C][C]13922.5535417387[/C][C]255.468548303496[/C][/ROW]
[ROW][C]0.425[/C][C]13944.0019975469[/C][C]247.575310873948[/C][/ROW]
[ROW][C]0.43[/C][C]13964.7874374579[/C][C]239.651981496696[/C][/ROW]
[ROW][C]0.435[/C][C]13984.9172349572[/C][C]231.802676406642[/C][/ROW]
[ROW][C]0.44[/C][C]14004.4064318004[/C][C]224.130835082135[/C][/ROW]
[ROW][C]0.445[/C][C]14023.2776844172[/C][C]216.726123831831[/C][/ROW]
[ROW][C]0.45[/C][C]14041.5611165797[/C][C]209.674999006556[/C][/ROW]
[ROW][C]0.455[/C][C]14059.2940905372[/C][C]203.087955749085[/C][/ROW]
[ROW][C]0.46[/C][C]14076.5209080789[/C][C]197.039706070358[/C][/ROW]
[ROW][C]0.465[/C][C]14093.2924515320[/C][C]191.626368678565[/C][/ROW]
[ROW][C]0.47[/C][C]14109.6657726965[/C][C]186.911734799076[/C][/ROW]
[ROW][C]0.475[/C][C]14125.7036353293[/C][C]183.000379793523[/C][/ROW]
[ROW][C]0.48[/C][C]14141.4740142472[/C][C]179.950390887704[/C][/ROW]
[ROW][C]0.485[/C][C]14157.0495516186[/C][C]177.817990557264[/C][/ROW]
[ROW][C]0.49[/C][C]14172.5069687959[/C][C]176.663702799060[/C][/ROW]
[ROW][C]0.495[/C][C]14187.926430296[/C][C]176.568720069410[/C][/ROW]
[ROW][C]0.5[/C][C]14203.3908554487[/C][C]177.537250633328[/C][/ROW]
[ROW][C]0.505[/C][C]14218.9851729511[/C][C]179.600834755951[/C][/ROW]
[ROW][C]0.51[/C][C]14234.7955141701[/C][C]182.798845095755[/C][/ROW]
[ROW][C]0.515[/C][C]14250.9083425821[/C][C]187.091155571371[/C][/ROW]
[ROW][C]0.52[/C][C]14267.4095191922[/C][C]192.501131545381[/C][/ROW]
[ROW][C]0.525[/C][C]14284.3833070586[/C][C]198.963515356688[/C][/ROW]
[ROW][C]0.53[/C][C]14301.9113220140[/C][C]206.451566318149[/C][/ROW]
[ROW][C]0.535[/C][C]14320.0714411165[/C][C]214.899225399882[/C][/ROW]
[ROW][C]0.54[/C][C]14338.9366850277[/C][C]224.213069720085[/C][/ROW]
[ROW][C]0.545[/C][C]14358.5740951216[/C][C]234.301734688167[/C][/ROW]
[ROW][C]0.55[/C][C]14379.0436303517[/C][C]245.063297439628[/C][/ROW]
[ROW][C]0.555[/C][C]14400.3971124503[/C][C]256.381494613787[/C][/ROW]
[ROW][C]0.56[/C][C]14422.6772505896[/C][C]268.114097196533[/C][/ROW]
[ROW][C]0.565[/C][C]14445.9167779539[/C][C]280.133250188857[/C][/ROW]
[ROW][C]0.57[/C][C]14470.1377325391[/C][C]292.276624715282[/C][/ROW]
[ROW][C]0.575[/C][C]14495.3509127879[/C][C]304.395473482386[/C][/ROW]
[ROW][C]0.58[/C][C]14521.5555353261[/C][C]316.332672420022[/C][/ROW]
[ROW][C]0.585[/C][C]14548.7391171508[/C][C]327.95215230437[/C][/ROW]
[ROW][C]0.59[/C][C]14576.8775982519[/C][C]339.085883523514[/C][/ROW]
[ROW][C]0.595[/C][C]14605.9357130874[/C][C]349.597746107408[/C][/ROW]
[ROW][C]0.6[/C][C]14635.8676108684[/C][C]359.361856989223[/C][/ROW]
[ROW][C]0.605[/C][C]14666.6177156443[/C][C]368.256744828404[/C][/ROW]
[ROW][C]0.61[/C][C]14698.1218081343[/C][C]376.186683794401[/C][/ROW]
[ROW][C]0.615[/C][C]14730.3083025709[/C][C]383.060381834105[/C][/ROW]
[ROW][C]0.62[/C][C]14763.0996839603[/C][C]388.841657416156[/C][/ROW]
[ROW][C]0.625[/C][C]14796.4140645211[/C][C]393.466824259485[/C][/ROW]
[ROW][C]0.63[/C][C]14830.1668129970[/C][C]396.93630207456[/C][/ROW]
[ROW][C]0.635[/C][C]14864.2722073235[/C][C]399.244246109358[/C][/ROW]
[ROW][C]0.64[/C][C]14898.6450599397[/C][C]400.423506912084[/C][/ROW]
[ROW][C]0.645[/C][C]14933.2022659513[/C][C]400.529192443144[/C][/ROW]
[ROW][C]0.65[/C][C]14967.8642273441[/C][C]399.60732759179[/C][/ROW]
[ROW][C]0.655[/C][C]15002.5561113856[/C][C]397.756011835482[/C][/ROW]
[ROW][C]0.66[/C][C]15037.2089080225[/C][C]395.06486822443[/C][/ROW]
[ROW][C]0.665[/C][C]15071.7602591964[/C][C]391.631093009878[/C][/ROW]
[ROW][C]0.67[/C][C]15106.1550422249[/C][C]387.551889284623[/C][/ROW]
[ROW][C]0.675[/C][C]15140.3456993600[/C][C]382.960356274064[/C][/ROW]
[ROW][C]0.68[/C][C]15174.2923159730[/C][C]377.939350575675[/C][/ROW]
[ROW][C]0.685[/C][C]15207.962460158[/C][C]372.60765112785[/C][/ROW]
[ROW][C]0.69[/C][C]15241.3308065515[/C][C]367.042506784307[/C][/ROW]
[ROW][C]0.695[/C][C]15274.3785765213[/C][C]361.365118154824[/C][/ROW]
[ROW][C]0.7[/C][C]15307.0928353062[/C][C]355.607465409959[/C][/ROW]
[ROW][C]0.705[/C][C]15339.4656939169[/C][C]349.846474479899[/C][/ROW]
[ROW][C]0.71[/C][C]15371.4934694202[/C][C]344.124596027595[/C][/ROW]
[ROW][C]0.715[/C][C]15403.1758613702[/C][C]338.474816116847[/C][/ROW]
[ROW][C]0.72[/C][C]15434.5152044026[/C][C]332.911252883098[/C][/ROW]
[ROW][C]0.725[/C][C]15465.5158571348[/C][C]327.443715359116[/C][/ROW]
[ROW][C]0.73[/C][C]15496.1837852653[/C][C]322.076273668416[/C][/ROW]
[ROW][C]0.735[/C][C]15526.5263919191[/C][C]316.787787889842[/C][/ROW]
[ROW][C]0.74[/C][C]15556.5526406371[/C][C]311.573139455151[/C][/ROW]
[ROW][C]0.745[/C][C]15586.2735058033[/C][C]306.423301168372[/C][/ROW]
[ROW][C]0.75[/C][C]15615.7027717185[/C][C]301.328677707519[/C][/ROW]
[ROW][C]0.755[/C][C]15644.8581850368[/C][C]296.292876585976[/C][/ROW]
[ROW][C]0.76[/C][C]15673.7629461807[/C][C]291.33591565511[/C][/ROW]
[ROW][C]0.765[/C][C]15702.4475041238[/C][C]286.493832672502[/C][/ROW]
[ROW][C]0.77[/C][C]15730.9515963139[/C][C]281.825878866732[/C][/ROW]
[ROW][C]0.775[/C][C]15759.3264524678[/C][C]277.418214519192[/C][/ROW]
[ROW][C]0.78[/C][C]15787.6370586641[/C][C]273.389663929395[/C][/ROW]
[ROW][C]0.785[/C][C]15815.9643579069[/C][C]269.879342316535[/C][/ROW]
[ROW][C]0.79[/C][C]15844.4072464906[/C][C]267.059446008281[/C][/ROW]
[ROW][C]0.795[/C][C]15873.0842133821[/C][C]265.140241216774[/C][/ROW]
[ROW][C]0.8[/C][C]15902.1344635961[/C][C]264.322937790741[/C][/ROW]
[ROW][C]0.805[/C][C]15931.7183670586[/C][C]264.860009656297[/C][/ROW]
[ROW][C]0.81[/C][C]15962.0170822625[/C][C]266.958806125617[/C][/ROW]
[ROW][C]0.815[/C][C]15993.2312193113[/C][C]270.826723762789[/C][/ROW]
[ROW][C]0.82[/C][C]16025.5784296003[/C][C]276.62465057826[/C][/ROW]
[ROW][C]0.825[/C][C]16059.2898391088[/C][C]284.458810741169[/C][/ROW]
[ROW][C]0.83[/C][C]16094.605278802[/C][C]294.383238122189[/C][/ROW]
[ROW][C]0.835[/C][C]16131.7673089388[/C][C]306.353787744073[/C][/ROW]
[ROW][C]0.84[/C][C]16171.0140845518[/C][C]320.254506619163[/C][/ROW]
[ROW][C]0.845[/C][C]16212.5711679154[/C][C]335.885084591408[/C][/ROW]
[ROW][C]0.85[/C][C]16256.6424617169[/C][C]352.966493513191[/C][/ROW]
[ROW][C]0.855[/C][C]16303.4005151076[/C][C]371.147401613794[/C][/ROW]
[ROW][C]0.86[/C][C]16352.9765441604[/C][C]390.008665921449[/C][/ROW]
[ROW][C]0.865[/C][C]16405.4506068277[/C][C]409.044893769753[/C][/ROW]
[ROW][C]0.87[/C][C]16460.8424751513[/C][C]427.715675306022[/C][/ROW]
[ROW][C]0.875[/C][C]16519.1038442417[/C][C]445.429093663486[/C][/ROW]
[ROW][C]0.88[/C][C]16580.1125924555[/C][C]461.544306218862[/C][/ROW]
[ROW][C]0.885[/C][C]16643.6698380379[/C][C]475.411875850328[/C][/ROW]
[ROW][C]0.89[/C][C]16709.5004969228[/C][C]486.386177012133[/C][/ROW]
[ROW][C]0.895[/C][C]16777.2579049421[/C][C]493.879265095783[/C][/ROW]
[ROW][C]0.9[/C][C]16846.532799272[/C][C]497.377503642822[/C][/ROW]
[ROW][C]0.905[/C][C]16916.8665434595[/C][C]496.461579026891[/C][/ROW]
[ROW][C]0.91[/C][C]16987.7679335369[/C][C]490.917276787333[/C][/ROW]
[ROW][C]0.915[/C][C]17058.7322763748[/C][C]480.706809840896[/C][/ROW]
[ROW][C]0.92[/C][C]17129.2607624464[/C][C]466.016956232747[/C][/ROW]
[ROW][C]0.925[/C][C]17198.8775849[/C][C]447.285298683573[/C][/ROW]
[ROW][C]0.93[/C][C]17267.1419468961[/C][C]425.139202603121[/C][/ROW]
[ROW][C]0.935[/C][C]17333.6522345415[/C][C]400.37264305235[/C][/ROW]
[ROW][C]0.94[/C][C]17398.0403884481[/C][C]373.845052687806[/C][/ROW]
[ROW][C]0.945[/C][C]17459.9559968253[/C][C]346.355044871886[/C][/ROW]
[ROW][C]0.95[/C][C]17519.0418444399[/C][C]318.491774893899[/C][/ROW]
[ROW][C]0.955[/C][C]17574.9053765885[/C][C]290.479041525608[/C][/ROW]
[ROW][C]0.96[/C][C]17627.0933196993[/C][C]262.135006833372[/C][/ROW]
[ROW][C]0.965[/C][C]17675.0788311261[/C][C]232.878640972477[/C][/ROW]
[ROW][C]0.97[/C][C]17718.2711417233[/C][C]201.957575993635[/C][/ROW]
[ROW][C]0.975[/C][C]17756.0558185734[/C][C]168.809454452195[/C][/ROW]
[ROW][C]0.98[/C][C]17787.8689122505[/C][C]133.504438757062[/C][/ROW]
[ROW][C]0.985[/C][C]17813.3003987293[/C][C]97.1501414545085[/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=19300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19300&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
0.01510083.57620686451269.46801576403
0.0210351.07133880021100.53058231079
0.02510611.5657386123939.354213650784
0.0310851.5707496427794.326745060933
0.03511063.8072064579669.341363277957
0.0411245.9765416681564.877160141839
0.04511399.1780129235479.370430407712
0.0511526.4465180862410.294922536895
0.05511631.6303642373354.933109705616
0.0611718.6499873051310.787502284830
0.06511791.0820842808275.717601559577
0.0711851.9791906889247.927041479448
0.07511903.8373008240225.945745161577
0.0811948.6430890090208.617821725235
0.08511987.9544870200195.034743681219
0.0912022.9872573683184.531035678622
0.09512054.6937001989176.646077329804
0.112083.8280702699171.072634254138
0.10512110.9979110226167.654455329656
0.1112136.7026722847166.313304750316
0.11512161.3617293223167.006449034164
0.1212185.3339749807169.689221058016
0.12512208.9309277361174.304827586873
0.1312232.4249956295180.706779004033
0.13512256.0542465477188.764164824382
0.1412280.0247843661198.235790805269
0.14512304.5116174266208.885162892912
0.1512329.6587228659220.449988910652
0.15512355.5788503256232.634418818964
0.1612382.3534672586245.157505923171
0.16512410.0331235429257.723815285351
0.1712438.6384050227270.049571041919
0.17512468.1615539820281.897168547982
0.1812498.568759425293.038505488819
0.18512529.8030609912303.270438215275
0.1912561.7877665793312.442756296121
0.19512594.4302541201320.427439639990
0.212627.6260109782327.135984906393
0.20512661.262758582332.553286198482
0.2112695.2245133571336.662313175192
0.21512729.3954461488339.516115832290
0.2212763.6634193178341.193651082427
0.22512797.9231018974341.77293585726
0.2312832.078587013341.398727491646
0.23512866.0454606869340.212648163574
0.2412899.7522958809338.377527765570
0.24512933.1415690153336.053840747183
0.2512966.1700173544333.399140919954
0.25512998.8084738832330.563925126796
0.2613031.0412311931327.718616244304
0.26513062.8649972401324.989881248975
0.2713094.2875136433322.466388013748
0.27513125.3259116251320.268114000089
0.2813156.0048820599318.459051836632
0.28513186.3547347886317.080453444675
0.2913216.4094188015316.157377313516
0.29513246.2045695495315.675989247375
0.313275.7756429244315.609438331587
0.30513305.1561877659315.924253121229
0.3113334.3763004252316.534828349384
0.31513363.4612962478317.383084074156
0.3213392.4306240647318.348812079253
0.32513421.2970410966319.367643391695
0.3313450.0660572512320.310201617939
0.33513478.7356497603321.093427893757
0.3413507.2962415991321.604225825096
0.34513535.7309302582321.745504968985
0.3513564.0159473232321.457639791835
0.35513592.1213240539320.643674267881
0.3613620.0117338435319.268994757482
0.36513647.6474791638317.246254831499
0.3713674.9855884244314.571349875004
0.37513701.9809871245311.230299136672
0.3813728.5877077711307.215687094724
0.38513754.7601042248302.546429319803
0.3913780.4540383570297.244793170054
0.39513805.6280100334291.360434177013
0.413830.2442053395284.942817636874
0.40513854.2694424365278.066007282836
0.4113877.6759992955270.809797388761
0.41513900.4423125613263.247017040265
0.4213922.5535417387255.468548303496
0.42513944.0019975469247.575310873948
0.4313964.7874374579239.651981496696
0.43513984.9172349572231.802676406642
0.4414004.4064318004224.130835082135
0.44514023.2776844172216.726123831831
0.4514041.5611165797209.674999006556
0.45514059.2940905372203.087955749085
0.4614076.5209080789197.039706070358
0.46514093.2924515320191.626368678565
0.4714109.6657726965186.911734799076
0.47514125.7036353293183.000379793523
0.4814141.4740142472179.950390887704
0.48514157.0495516186177.817990557264
0.4914172.5069687959176.663702799060
0.49514187.926430296176.568720069410
0.514203.3908554487177.537250633328
0.50514218.9851729511179.600834755951
0.5114234.7955141701182.798845095755
0.51514250.9083425821187.091155571371
0.5214267.4095191922192.501131545381
0.52514284.3833070586198.963515356688
0.5314301.9113220140206.451566318149
0.53514320.0714411165214.899225399882
0.5414338.9366850277224.213069720085
0.54514358.5740951216234.301734688167
0.5514379.0436303517245.063297439628
0.55514400.3971124503256.381494613787
0.5614422.6772505896268.114097196533
0.56514445.9167779539280.133250188857
0.5714470.1377325391292.276624715282
0.57514495.3509127879304.395473482386
0.5814521.5555353261316.332672420022
0.58514548.7391171508327.95215230437
0.5914576.8775982519339.085883523514
0.59514605.9357130874349.597746107408
0.614635.8676108684359.361856989223
0.60514666.6177156443368.256744828404
0.6114698.1218081343376.186683794401
0.61514730.3083025709383.060381834105
0.6214763.0996839603388.841657416156
0.62514796.4140645211393.466824259485
0.6314830.1668129970396.93630207456
0.63514864.2722073235399.244246109358
0.6414898.6450599397400.423506912084
0.64514933.2022659513400.529192443144
0.6514967.8642273441399.60732759179
0.65515002.5561113856397.756011835482
0.6615037.2089080225395.06486822443
0.66515071.7602591964391.631093009878
0.6715106.1550422249387.551889284623
0.67515140.3456993600382.960356274064
0.6815174.2923159730377.939350575675
0.68515207.962460158372.60765112785
0.6915241.3308065515367.042506784307
0.69515274.3785765213361.365118154824
0.715307.0928353062355.607465409959
0.70515339.4656939169349.846474479899
0.7115371.4934694202344.124596027595
0.71515403.1758613702338.474816116847
0.7215434.5152044026332.911252883098
0.72515465.5158571348327.443715359116
0.7315496.1837852653322.076273668416
0.73515526.5263919191316.787787889842
0.7415556.5526406371311.573139455151
0.74515586.2735058033306.423301168372
0.7515615.7027717185301.328677707519
0.75515644.8581850368296.292876585976
0.7615673.7629461807291.33591565511
0.76515702.4475041238286.493832672502
0.7715730.9515963139281.825878866732
0.77515759.3264524678277.418214519192
0.7815787.6370586641273.389663929395
0.78515815.9643579069269.879342316535
0.7915844.4072464906267.059446008281
0.79515873.0842133821265.140241216774
0.815902.1344635961264.322937790741
0.80515931.7183670586264.860009656297
0.8115962.0170822625266.958806125617
0.81515993.2312193113270.826723762789
0.8216025.5784296003276.62465057826
0.82516059.2898391088284.458810741169
0.8316094.605278802294.383238122189
0.83516131.7673089388306.353787744073
0.8416171.0140845518320.254506619163
0.84516212.5711679154335.885084591408
0.8516256.6424617169352.966493513191
0.85516303.4005151076371.147401613794
0.8616352.9765441604390.008665921449
0.86516405.4506068277409.044893769753
0.8716460.8424751513427.715675306022
0.87516519.1038442417445.429093663486
0.8816580.1125924555461.544306218862
0.88516643.6698380379475.411875850328
0.8916709.5004969228486.386177012133
0.89516777.2579049421493.879265095783
0.916846.532799272497.377503642822
0.90516916.8665434595496.461579026891
0.9116987.7679335369490.917276787333
0.91517058.7322763748480.706809840896
0.9217129.2607624464466.016956232747
0.92517198.8775849447.285298683573
0.9317267.1419468961425.139202603121
0.93517333.6522345415400.37264305235
0.9417398.0403884481373.845052687806
0.94517459.9559968253346.355044871886
0.9517519.0418444399318.491774893899
0.95517574.9053765885290.479041525608
0.9617627.0933196993262.135006833372
0.96517675.0788311261232.878640972477
0.9717718.2711417233201.957575993635
0.97517756.0558185734168.809454452195
0.9817787.8689122505133.504438757062
0.98517813.300398729397.1501414545085
0.9917832.212455575962.1240303778248


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')