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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 04 Mar 2008 10:32:43 -0700
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/Mar/04/t12046520232vyxsczu7q4v1u4.htm/, Retrieved Fri, 17 May 2024 23:15:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10026, Retrieved Fri, 17 May 2024 23:15:55 +0000
QR Codes:

Original text written by user:Bron: www.belgostat.be Periode: 12 1998 12 2005
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact263
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [ Gemiddelde consu...] [2008-03-04 17:32:43] [eef742e943ad17e3ad9ffb5dcd5a3094] [Current]
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Dataseries X:
4,07
4,07
4,08
4,09
4,08
4,09
4,12
4,14
4,14
4,14
4,14
4,14
4,23
4,29
4,32
4,33
4,35
4,35
4,35
4,35
4,36
4,36
4,38
4,4
4,4
4,4
4,43
4,44
4,46
4,47
4,49
4,49
4,57
4,62
4,64
4,66
4,67
4,68
4,72
4,74
4,75
4,76
4,77
4,76
4,77
4,77
4,78
4,81
4,81
4,85
4,92
4,96
4,95
4,96
4,97
5
5
5,01
5,01
5,02
5,04
5,04
5,19
5,22
5,22
5,22
5,24
5,28
5,34
5,36
5,38
5,39
5,41
5,44
5,51
5,55
5,56
5,57
5,58
5,58
5,59
5,61
5,63
5,64
5,64




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10026&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10026&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10026&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.071200958396810.00324701442764419
0.024.074146509902670.00668931524434976
0.034.078629508340540.0097036896490892
0.044.08436515757430.0134368872418368
0.054.09131076073320.0179514694987270
0.064.099480509059040.0223994557586891
0.074.108774822936070.0262513474194833
0.084.119054340504050.0299557548692559
0.094.130327341127470.0347280904303448
0.14.142845789946810.0416431276126265
0.114.157019750072370.0507100864575688
0.124.173199555900540.060754039699133
0.134.191449315314730.0699808217947659
0.144.211425288155870.0766414173643905
0.154.232407407985980.0795569051083636
0.164.253458272099830.0783865821893866
0.174.273637781216060.073655664895423
0.184.292195698030380.0664905663136486
0.194.308689509843850.058281030973007
0.24.323011883215520.0503378856737042
0.214.335343234415540.0437132475114829
0.224.346061399933940.0390514685482084
0.234.355641758066290.0365700596887133
0.244.364572522831990.0361559408281257
0.254.373297691841320.0374373046950792
0.264.382189151991080.0400361777457157
0.274.391542146964350.0436294521586446
0.284.401585040384640.0480240890586933
0.294.412494250107820.0530813550468448
0.34.424407191757790.058723863701852
0.314.437428961150360.0648416010450017
0.324.451631486052840.0712941937658356
0.334.467046439096540.0778523634642151
0.344.483654985634850.0842149774294784
0.354.501378260390780.0900365840091885
0.364.520072286719810.0949504587838522
0.374.539529993844410.0986252225865694
0.384.559491341082220.100805823932684
0.394.579660748510540.101349172311095
0.44.599729524167060.100264833710194
0.414.619400137020540.0976688378232815
0.424.6384091649510.0937926788411364
0.434.656546434336670.0889536151657561
0.444.67366893312830.0835216282513932
0.454.689709110961290.0778881775180722
0.464.704677846083490.07245491632065
0.474.718662529275740.0676048261200875
0.484.731820494056110.0636931316197283
0.494.744367687234660.0610427728982984
0.54.756562347252150.0598877137941309
0.514.768683772111240.0603153496216071
0.524.781007060578110.0622445675443989
0.534.793775835789250.0654093408457561
0.544.807176083999480.0693850033197797
0.554.821314977625630.0736470726452164
0.564.836208576870960.077659664030127
0.574.851781459832690.0809285504451139
0.584.867879682607410.083065751011287
0.594.884296300997940.083867059587243
0.64.900806422603330.0833221122862017
0.614.917206863952360.0816424933504446
0.624.933354339836780.0792276807213156
0.634.949195926942980.0766393767336021
0.644.964786360055960.0745147644121245
0.654.980288439083620.0734776696868279
0.664.995955271476970.0740065456657476
0.675.012096010397010.076332779666581
0.685.029029837743250.0803588482919856
0.695.047035677220980.0856689217956987
0.75.066306816913580.091620651373407
0.715.086919535064880.0974763303501922
0.725.108822477319260.102546558220156
0.735.131849087127320.106289282543160
0.745.155749871149110.108409578573556
0.755.180236430621150.108900030360593
0.765.205026835960590.107972967311912
0.775.229883067622750.105977134221456
0.785.254635335535230.103318773539366
0.795.27919298508910.100363930051417
0.85.303544629855780.0974107241315775
0.815.327749352009030.0947159079121764
0.825.35191698292010.092484924314704
0.835.376172033911320.090818164038132
0.845.400597314915460.0895742986703613
0.855.425162256029090.0882797015646112
0.865.449655250403120.0861641038262598
0.875.473651475063840.0823341456556304
0.885.496547961284840.0761527254646206
0.895.517680241786780.0675390301261033
0.95.536502643882510.0571444970511621
0.915.552779353254330.0462530108117919
0.925.566711287096030.0364788886035908
0.935.578925787809270.0292958701757360
0.945.590285948439830.0253981313837614
0.955.601533770404040.0239727883241416
0.965.61286484005340.0228418003184031
0.975.623632429107070.0197200586858872
0.985.632458801699890.0135599657133197
0.995.637977369442940.00567927218551654

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.07120095839681 & 0.00324701442764419 \tabularnewline
0.02 & 4.07414650990267 & 0.00668931524434976 \tabularnewline
0.03 & 4.07862950834054 & 0.0097036896490892 \tabularnewline
0.04 & 4.0843651575743 & 0.0134368872418368 \tabularnewline
0.05 & 4.0913107607332 & 0.0179514694987270 \tabularnewline
0.06 & 4.09948050905904 & 0.0223994557586891 \tabularnewline
0.07 & 4.10877482293607 & 0.0262513474194833 \tabularnewline
0.08 & 4.11905434050405 & 0.0299557548692559 \tabularnewline
0.09 & 4.13032734112747 & 0.0347280904303448 \tabularnewline
0.1 & 4.14284578994681 & 0.0416431276126265 \tabularnewline
0.11 & 4.15701975007237 & 0.0507100864575688 \tabularnewline
0.12 & 4.17319955590054 & 0.060754039699133 \tabularnewline
0.13 & 4.19144931531473 & 0.0699808217947659 \tabularnewline
0.14 & 4.21142528815587 & 0.0766414173643905 \tabularnewline
0.15 & 4.23240740798598 & 0.0795569051083636 \tabularnewline
0.16 & 4.25345827209983 & 0.0783865821893866 \tabularnewline
0.17 & 4.27363778121606 & 0.073655664895423 \tabularnewline
0.18 & 4.29219569803038 & 0.0664905663136486 \tabularnewline
0.19 & 4.30868950984385 & 0.058281030973007 \tabularnewline
0.2 & 4.32301188321552 & 0.0503378856737042 \tabularnewline
0.21 & 4.33534323441554 & 0.0437132475114829 \tabularnewline
0.22 & 4.34606139993394 & 0.0390514685482084 \tabularnewline
0.23 & 4.35564175806629 & 0.0365700596887133 \tabularnewline
0.24 & 4.36457252283199 & 0.0361559408281257 \tabularnewline
0.25 & 4.37329769184132 & 0.0374373046950792 \tabularnewline
0.26 & 4.38218915199108 & 0.0400361777457157 \tabularnewline
0.27 & 4.39154214696435 & 0.0436294521586446 \tabularnewline
0.28 & 4.40158504038464 & 0.0480240890586933 \tabularnewline
0.29 & 4.41249425010782 & 0.0530813550468448 \tabularnewline
0.3 & 4.42440719175779 & 0.058723863701852 \tabularnewline
0.31 & 4.43742896115036 & 0.0648416010450017 \tabularnewline
0.32 & 4.45163148605284 & 0.0712941937658356 \tabularnewline
0.33 & 4.46704643909654 & 0.0778523634642151 \tabularnewline
0.34 & 4.48365498563485 & 0.0842149774294784 \tabularnewline
0.35 & 4.50137826039078 & 0.0900365840091885 \tabularnewline
0.36 & 4.52007228671981 & 0.0949504587838522 \tabularnewline
0.37 & 4.53952999384441 & 0.0986252225865694 \tabularnewline
0.38 & 4.55949134108222 & 0.100805823932684 \tabularnewline
0.39 & 4.57966074851054 & 0.101349172311095 \tabularnewline
0.4 & 4.59972952416706 & 0.100264833710194 \tabularnewline
0.41 & 4.61940013702054 & 0.0976688378232815 \tabularnewline
0.42 & 4.638409164951 & 0.0937926788411364 \tabularnewline
0.43 & 4.65654643433667 & 0.0889536151657561 \tabularnewline
0.44 & 4.6736689331283 & 0.0835216282513932 \tabularnewline
0.45 & 4.68970911096129 & 0.0778881775180722 \tabularnewline
0.46 & 4.70467784608349 & 0.07245491632065 \tabularnewline
0.47 & 4.71866252927574 & 0.0676048261200875 \tabularnewline
0.48 & 4.73182049405611 & 0.0636931316197283 \tabularnewline
0.49 & 4.74436768723466 & 0.0610427728982984 \tabularnewline
0.5 & 4.75656234725215 & 0.0598877137941309 \tabularnewline
0.51 & 4.76868377211124 & 0.0603153496216071 \tabularnewline
0.52 & 4.78100706057811 & 0.0622445675443989 \tabularnewline
0.53 & 4.79377583578925 & 0.0654093408457561 \tabularnewline
0.54 & 4.80717608399948 & 0.0693850033197797 \tabularnewline
0.55 & 4.82131497762563 & 0.0736470726452164 \tabularnewline
0.56 & 4.83620857687096 & 0.077659664030127 \tabularnewline
0.57 & 4.85178145983269 & 0.0809285504451139 \tabularnewline
0.58 & 4.86787968260741 & 0.083065751011287 \tabularnewline
0.59 & 4.88429630099794 & 0.083867059587243 \tabularnewline
0.6 & 4.90080642260333 & 0.0833221122862017 \tabularnewline
0.61 & 4.91720686395236 & 0.0816424933504446 \tabularnewline
0.62 & 4.93335433983678 & 0.0792276807213156 \tabularnewline
0.63 & 4.94919592694298 & 0.0766393767336021 \tabularnewline
0.64 & 4.96478636005596 & 0.0745147644121245 \tabularnewline
0.65 & 4.98028843908362 & 0.0734776696868279 \tabularnewline
0.66 & 4.99595527147697 & 0.0740065456657476 \tabularnewline
0.67 & 5.01209601039701 & 0.076332779666581 \tabularnewline
0.68 & 5.02902983774325 & 0.0803588482919856 \tabularnewline
0.69 & 5.04703567722098 & 0.0856689217956987 \tabularnewline
0.7 & 5.06630681691358 & 0.091620651373407 \tabularnewline
0.71 & 5.08691953506488 & 0.0974763303501922 \tabularnewline
0.72 & 5.10882247731926 & 0.102546558220156 \tabularnewline
0.73 & 5.13184908712732 & 0.106289282543160 \tabularnewline
0.74 & 5.15574987114911 & 0.108409578573556 \tabularnewline
0.75 & 5.18023643062115 & 0.108900030360593 \tabularnewline
0.76 & 5.20502683596059 & 0.107972967311912 \tabularnewline
0.77 & 5.22988306762275 & 0.105977134221456 \tabularnewline
0.78 & 5.25463533553523 & 0.103318773539366 \tabularnewline
0.79 & 5.2791929850891 & 0.100363930051417 \tabularnewline
0.8 & 5.30354462985578 & 0.0974107241315775 \tabularnewline
0.81 & 5.32774935200903 & 0.0947159079121764 \tabularnewline
0.82 & 5.3519169829201 & 0.092484924314704 \tabularnewline
0.83 & 5.37617203391132 & 0.090818164038132 \tabularnewline
0.84 & 5.40059731491546 & 0.0895742986703613 \tabularnewline
0.85 & 5.42516225602909 & 0.0882797015646112 \tabularnewline
0.86 & 5.44965525040312 & 0.0861641038262598 \tabularnewline
0.87 & 5.47365147506384 & 0.0823341456556304 \tabularnewline
0.88 & 5.49654796128484 & 0.0761527254646206 \tabularnewline
0.89 & 5.51768024178678 & 0.0675390301261033 \tabularnewline
0.9 & 5.53650264388251 & 0.0571444970511621 \tabularnewline
0.91 & 5.55277935325433 & 0.0462530108117919 \tabularnewline
0.92 & 5.56671128709603 & 0.0364788886035908 \tabularnewline
0.93 & 5.57892578780927 & 0.0292958701757360 \tabularnewline
0.94 & 5.59028594843983 & 0.0253981313837614 \tabularnewline
0.95 & 5.60153377040404 & 0.0239727883241416 \tabularnewline
0.96 & 5.6128648400534 & 0.0228418003184031 \tabularnewline
0.97 & 5.62363242910707 & 0.0197200586858872 \tabularnewline
0.98 & 5.63245880169989 & 0.0135599657133197 \tabularnewline
0.99 & 5.63797736944294 & 0.00567927218551654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10026&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]4.07120095839681[/C][C]0.00324701442764419[/C][/ROW]
[ROW][C]0.02[/C][C]4.07414650990267[/C][C]0.00668931524434976[/C][/ROW]
[ROW][C]0.03[/C][C]4.07862950834054[/C][C]0.0097036896490892[/C][/ROW]
[ROW][C]0.04[/C][C]4.0843651575743[/C][C]0.0134368872418368[/C][/ROW]
[ROW][C]0.05[/C][C]4.0913107607332[/C][C]0.0179514694987270[/C][/ROW]
[ROW][C]0.06[/C][C]4.09948050905904[/C][C]0.0223994557586891[/C][/ROW]
[ROW][C]0.07[/C][C]4.10877482293607[/C][C]0.0262513474194833[/C][/ROW]
[ROW][C]0.08[/C][C]4.11905434050405[/C][C]0.0299557548692559[/C][/ROW]
[ROW][C]0.09[/C][C]4.13032734112747[/C][C]0.0347280904303448[/C][/ROW]
[ROW][C]0.1[/C][C]4.14284578994681[/C][C]0.0416431276126265[/C][/ROW]
[ROW][C]0.11[/C][C]4.15701975007237[/C][C]0.0507100864575688[/C][/ROW]
[ROW][C]0.12[/C][C]4.17319955590054[/C][C]0.060754039699133[/C][/ROW]
[ROW][C]0.13[/C][C]4.19144931531473[/C][C]0.0699808217947659[/C][/ROW]
[ROW][C]0.14[/C][C]4.21142528815587[/C][C]0.0766414173643905[/C][/ROW]
[ROW][C]0.15[/C][C]4.23240740798598[/C][C]0.0795569051083636[/C][/ROW]
[ROW][C]0.16[/C][C]4.25345827209983[/C][C]0.0783865821893866[/C][/ROW]
[ROW][C]0.17[/C][C]4.27363778121606[/C][C]0.073655664895423[/C][/ROW]
[ROW][C]0.18[/C][C]4.29219569803038[/C][C]0.0664905663136486[/C][/ROW]
[ROW][C]0.19[/C][C]4.30868950984385[/C][C]0.058281030973007[/C][/ROW]
[ROW][C]0.2[/C][C]4.32301188321552[/C][C]0.0503378856737042[/C][/ROW]
[ROW][C]0.21[/C][C]4.33534323441554[/C][C]0.0437132475114829[/C][/ROW]
[ROW][C]0.22[/C][C]4.34606139993394[/C][C]0.0390514685482084[/C][/ROW]
[ROW][C]0.23[/C][C]4.35564175806629[/C][C]0.0365700596887133[/C][/ROW]
[ROW][C]0.24[/C][C]4.36457252283199[/C][C]0.0361559408281257[/C][/ROW]
[ROW][C]0.25[/C][C]4.37329769184132[/C][C]0.0374373046950792[/C][/ROW]
[ROW][C]0.26[/C][C]4.38218915199108[/C][C]0.0400361777457157[/C][/ROW]
[ROW][C]0.27[/C][C]4.39154214696435[/C][C]0.0436294521586446[/C][/ROW]
[ROW][C]0.28[/C][C]4.40158504038464[/C][C]0.0480240890586933[/C][/ROW]
[ROW][C]0.29[/C][C]4.41249425010782[/C][C]0.0530813550468448[/C][/ROW]
[ROW][C]0.3[/C][C]4.42440719175779[/C][C]0.058723863701852[/C][/ROW]
[ROW][C]0.31[/C][C]4.43742896115036[/C][C]0.0648416010450017[/C][/ROW]
[ROW][C]0.32[/C][C]4.45163148605284[/C][C]0.0712941937658356[/C][/ROW]
[ROW][C]0.33[/C][C]4.46704643909654[/C][C]0.0778523634642151[/C][/ROW]
[ROW][C]0.34[/C][C]4.48365498563485[/C][C]0.0842149774294784[/C][/ROW]
[ROW][C]0.35[/C][C]4.50137826039078[/C][C]0.0900365840091885[/C][/ROW]
[ROW][C]0.36[/C][C]4.52007228671981[/C][C]0.0949504587838522[/C][/ROW]
[ROW][C]0.37[/C][C]4.53952999384441[/C][C]0.0986252225865694[/C][/ROW]
[ROW][C]0.38[/C][C]4.55949134108222[/C][C]0.100805823932684[/C][/ROW]
[ROW][C]0.39[/C][C]4.57966074851054[/C][C]0.101349172311095[/C][/ROW]
[ROW][C]0.4[/C][C]4.59972952416706[/C][C]0.100264833710194[/C][/ROW]
[ROW][C]0.41[/C][C]4.61940013702054[/C][C]0.0976688378232815[/C][/ROW]
[ROW][C]0.42[/C][C]4.638409164951[/C][C]0.0937926788411364[/C][/ROW]
[ROW][C]0.43[/C][C]4.65654643433667[/C][C]0.0889536151657561[/C][/ROW]
[ROW][C]0.44[/C][C]4.6736689331283[/C][C]0.0835216282513932[/C][/ROW]
[ROW][C]0.45[/C][C]4.68970911096129[/C][C]0.0778881775180722[/C][/ROW]
[ROW][C]0.46[/C][C]4.70467784608349[/C][C]0.07245491632065[/C][/ROW]
[ROW][C]0.47[/C][C]4.71866252927574[/C][C]0.0676048261200875[/C][/ROW]
[ROW][C]0.48[/C][C]4.73182049405611[/C][C]0.0636931316197283[/C][/ROW]
[ROW][C]0.49[/C][C]4.74436768723466[/C][C]0.0610427728982984[/C][/ROW]
[ROW][C]0.5[/C][C]4.75656234725215[/C][C]0.0598877137941309[/C][/ROW]
[ROW][C]0.51[/C][C]4.76868377211124[/C][C]0.0603153496216071[/C][/ROW]
[ROW][C]0.52[/C][C]4.78100706057811[/C][C]0.0622445675443989[/C][/ROW]
[ROW][C]0.53[/C][C]4.79377583578925[/C][C]0.0654093408457561[/C][/ROW]
[ROW][C]0.54[/C][C]4.80717608399948[/C][C]0.0693850033197797[/C][/ROW]
[ROW][C]0.55[/C][C]4.82131497762563[/C][C]0.0736470726452164[/C][/ROW]
[ROW][C]0.56[/C][C]4.83620857687096[/C][C]0.077659664030127[/C][/ROW]
[ROW][C]0.57[/C][C]4.85178145983269[/C][C]0.0809285504451139[/C][/ROW]
[ROW][C]0.58[/C][C]4.86787968260741[/C][C]0.083065751011287[/C][/ROW]
[ROW][C]0.59[/C][C]4.88429630099794[/C][C]0.083867059587243[/C][/ROW]
[ROW][C]0.6[/C][C]4.90080642260333[/C][C]0.0833221122862017[/C][/ROW]
[ROW][C]0.61[/C][C]4.91720686395236[/C][C]0.0816424933504446[/C][/ROW]
[ROW][C]0.62[/C][C]4.93335433983678[/C][C]0.0792276807213156[/C][/ROW]
[ROW][C]0.63[/C][C]4.94919592694298[/C][C]0.0766393767336021[/C][/ROW]
[ROW][C]0.64[/C][C]4.96478636005596[/C][C]0.0745147644121245[/C][/ROW]
[ROW][C]0.65[/C][C]4.98028843908362[/C][C]0.0734776696868279[/C][/ROW]
[ROW][C]0.66[/C][C]4.99595527147697[/C][C]0.0740065456657476[/C][/ROW]
[ROW][C]0.67[/C][C]5.01209601039701[/C][C]0.076332779666581[/C][/ROW]
[ROW][C]0.68[/C][C]5.02902983774325[/C][C]0.0803588482919856[/C][/ROW]
[ROW][C]0.69[/C][C]5.04703567722098[/C][C]0.0856689217956987[/C][/ROW]
[ROW][C]0.7[/C][C]5.06630681691358[/C][C]0.091620651373407[/C][/ROW]
[ROW][C]0.71[/C][C]5.08691953506488[/C][C]0.0974763303501922[/C][/ROW]
[ROW][C]0.72[/C][C]5.10882247731926[/C][C]0.102546558220156[/C][/ROW]
[ROW][C]0.73[/C][C]5.13184908712732[/C][C]0.106289282543160[/C][/ROW]
[ROW][C]0.74[/C][C]5.15574987114911[/C][C]0.108409578573556[/C][/ROW]
[ROW][C]0.75[/C][C]5.18023643062115[/C][C]0.108900030360593[/C][/ROW]
[ROW][C]0.76[/C][C]5.20502683596059[/C][C]0.107972967311912[/C][/ROW]
[ROW][C]0.77[/C][C]5.22988306762275[/C][C]0.105977134221456[/C][/ROW]
[ROW][C]0.78[/C][C]5.25463533553523[/C][C]0.103318773539366[/C][/ROW]
[ROW][C]0.79[/C][C]5.2791929850891[/C][C]0.100363930051417[/C][/ROW]
[ROW][C]0.8[/C][C]5.30354462985578[/C][C]0.0974107241315775[/C][/ROW]
[ROW][C]0.81[/C][C]5.32774935200903[/C][C]0.0947159079121764[/C][/ROW]
[ROW][C]0.82[/C][C]5.3519169829201[/C][C]0.092484924314704[/C][/ROW]
[ROW][C]0.83[/C][C]5.37617203391132[/C][C]0.090818164038132[/C][/ROW]
[ROW][C]0.84[/C][C]5.40059731491546[/C][C]0.0895742986703613[/C][/ROW]
[ROW][C]0.85[/C][C]5.42516225602909[/C][C]0.0882797015646112[/C][/ROW]
[ROW][C]0.86[/C][C]5.44965525040312[/C][C]0.0861641038262598[/C][/ROW]
[ROW][C]0.87[/C][C]5.47365147506384[/C][C]0.0823341456556304[/C][/ROW]
[ROW][C]0.88[/C][C]5.49654796128484[/C][C]0.0761527254646206[/C][/ROW]
[ROW][C]0.89[/C][C]5.51768024178678[/C][C]0.0675390301261033[/C][/ROW]
[ROW][C]0.9[/C][C]5.53650264388251[/C][C]0.0571444970511621[/C][/ROW]
[ROW][C]0.91[/C][C]5.55277935325433[/C][C]0.0462530108117919[/C][/ROW]
[ROW][C]0.92[/C][C]5.56671128709603[/C][C]0.0364788886035908[/C][/ROW]
[ROW][C]0.93[/C][C]5.57892578780927[/C][C]0.0292958701757360[/C][/ROW]
[ROW][C]0.94[/C][C]5.59028594843983[/C][C]0.0253981313837614[/C][/ROW]
[ROW][C]0.95[/C][C]5.60153377040404[/C][C]0.0239727883241416[/C][/ROW]
[ROW][C]0.96[/C][C]5.6128648400534[/C][C]0.0228418003184031[/C][/ROW]
[ROW][C]0.97[/C][C]5.62363242910707[/C][C]0.0197200586858872[/C][/ROW]
[ROW][C]0.98[/C][C]5.63245880169989[/C][C]0.0135599657133197[/C][/ROW]
[ROW][C]0.99[/C][C]5.63797736944294[/C][C]0.00567927218551654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10026&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10026&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.071200958396810.00324701442764419
0.024.074146509902670.00668931524434976
0.034.078629508340540.0097036896490892
0.044.08436515757430.0134368872418368
0.054.09131076073320.0179514694987270
0.064.099480509059040.0223994557586891
0.074.108774822936070.0262513474194833
0.084.119054340504050.0299557548692559
0.094.130327341127470.0347280904303448
0.14.142845789946810.0416431276126265
0.114.157019750072370.0507100864575688
0.124.173199555900540.060754039699133
0.134.191449315314730.0699808217947659
0.144.211425288155870.0766414173643905
0.154.232407407985980.0795569051083636
0.164.253458272099830.0783865821893866
0.174.273637781216060.073655664895423
0.184.292195698030380.0664905663136486
0.194.308689509843850.058281030973007
0.24.323011883215520.0503378856737042
0.214.335343234415540.0437132475114829
0.224.346061399933940.0390514685482084
0.234.355641758066290.0365700596887133
0.244.364572522831990.0361559408281257
0.254.373297691841320.0374373046950792
0.264.382189151991080.0400361777457157
0.274.391542146964350.0436294521586446
0.284.401585040384640.0480240890586933
0.294.412494250107820.0530813550468448
0.34.424407191757790.058723863701852
0.314.437428961150360.0648416010450017
0.324.451631486052840.0712941937658356
0.334.467046439096540.0778523634642151
0.344.483654985634850.0842149774294784
0.354.501378260390780.0900365840091885
0.364.520072286719810.0949504587838522
0.374.539529993844410.0986252225865694
0.384.559491341082220.100805823932684
0.394.579660748510540.101349172311095
0.44.599729524167060.100264833710194
0.414.619400137020540.0976688378232815
0.424.6384091649510.0937926788411364
0.434.656546434336670.0889536151657561
0.444.67366893312830.0835216282513932
0.454.689709110961290.0778881775180722
0.464.704677846083490.07245491632065
0.474.718662529275740.0676048261200875
0.484.731820494056110.0636931316197283
0.494.744367687234660.0610427728982984
0.54.756562347252150.0598877137941309
0.514.768683772111240.0603153496216071
0.524.781007060578110.0622445675443989
0.534.793775835789250.0654093408457561
0.544.807176083999480.0693850033197797
0.554.821314977625630.0736470726452164
0.564.836208576870960.077659664030127
0.574.851781459832690.0809285504451139
0.584.867879682607410.083065751011287
0.594.884296300997940.083867059587243
0.64.900806422603330.0833221122862017
0.614.917206863952360.0816424933504446
0.624.933354339836780.0792276807213156
0.634.949195926942980.0766393767336021
0.644.964786360055960.0745147644121245
0.654.980288439083620.0734776696868279
0.664.995955271476970.0740065456657476
0.675.012096010397010.076332779666581
0.685.029029837743250.0803588482919856
0.695.047035677220980.0856689217956987
0.75.066306816913580.091620651373407
0.715.086919535064880.0974763303501922
0.725.108822477319260.102546558220156
0.735.131849087127320.106289282543160
0.745.155749871149110.108409578573556
0.755.180236430621150.108900030360593
0.765.205026835960590.107972967311912
0.775.229883067622750.105977134221456
0.785.254635335535230.103318773539366
0.795.27919298508910.100363930051417
0.85.303544629855780.0974107241315775
0.815.327749352009030.0947159079121764
0.825.35191698292010.092484924314704
0.835.376172033911320.090818164038132
0.845.400597314915460.0895742986703613
0.855.425162256029090.0882797015646112
0.865.449655250403120.0861641038262598
0.875.473651475063840.0823341456556304
0.885.496547961284840.0761527254646206
0.895.517680241786780.0675390301261033
0.95.536502643882510.0571444970511621
0.915.552779353254330.0462530108117919
0.925.566711287096030.0364788886035908
0.935.578925787809270.0292958701757360
0.945.590285948439830.0253981313837614
0.955.601533770404040.0239727883241416
0.965.61286484005340.0228418003184031
0.975.623632429107070.0197200586858872
0.985.632458801699890.0135599657133197
0.995.637977369442940.00567927218551654



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')