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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 07:54:17 -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/20/t1224510888qm0dilfjjx2safp.htm/, Retrieved Sun, 19 May 2024 16:39:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17290, Retrieved Sun, 19 May 2024 16:39:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid vrouwen] [2008-10-13 15:31:40] [7d3039e6253bb5fb3b26df1537d500b4]
- RMPD    [Harrell-Davis Quantiles] [Harell-Davis reeks 2] [2008-10-20 13:54:17] [35348cd8592af0baf5f138bd59921307] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.0
9.1
8.7
8.2
7.9
7.9
9.1
9.4
9.5
9.1
9.0
9.3
9.9
9.8
9.4
8.3
8.0
8.5
10.4
11.1
10.9
9.9
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9.0
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9.0
9.0
9.0
9.8
10.0
9.9
9.3
9.0
9.0
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.8
7.9
7.9
8.0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17290&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17290&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.820045928016380.0796163387114623
0.027.846915392510750.0556418883009339
0.037.871805238920010.0370756974727341
0.047.891818050644520.0312055322374086
0.057.908633316724940.0388468445491471
0.067.925373438580570.0541465189055278
0.077.944624039055450.0728447613291538
0.087.967854174702770.0927192819887218
0.097.995572895862270.112438926449846
0.18.027680464652960.131254830939905
0.118.063774679423680.148820476480478
0.128.103356871675030.165118357227320
0.138.145949829994480.180332497781051
0.148.191151378387670.194786552588797
0.158.238642057056930.208757376594269
0.168.288159774908970.222318756778082
0.178.339452736110740.235207639274508
0.188.392223352686740.246790995958401
0.198.446077358365440.256168114921839
0.28.500491433329450.262332826030789
0.218.55480847355470.264399415887126
0.228.608263103750150.261756189760789
0.238.660033086097150.254190108119014
0.248.709306882360550.241930084462079
0.258.755355006461050.225593955620750
0.268.797593171996330.206144689810417
0.278.835627971437730.184714526908652
0.288.869279858852770.162515755385667
0.298.898582452948850.140703945461899
0.38.923760789338910.120277563502451
0.318.945193653754180.102037342405432
0.328.963366391451580.086524873888386
0.338.978820732878740.0740370850132945
0.348.992107458237180.0646201584889906
0.359.003746440499960.0580749385833832
0.369.01419703350210.0539689430683265
0.379.023840136933320.0517499004548594
0.389.032971750109180.0507876066152137
0.399.041806553916080.0505551654460331
0.49.05048913142530.0506752306041751
0.419.059109913875130.0508970756345117
0.429.067722842608440.0511224969995686
0.439.076362045659930.0513643893996785
0.449.085055466280050.0517028975778188
0.459.0938342298520.0522356439586292
0.469.102737444467420.0530854383730134
0.479.111812942027540.0543079491259723
0.489.12111504842090.0559257614351591
0.499.130700741959790.057900882473957
0.59.140625506402360.0601818602850607
0.519.150939866202320.0626957876262911
0.529.161687119304030.0653641753032907
0.539.172902294576780.0681566852232529
0.549.184611985178190.0710204878378281
0.559.196834532959640.0739229149128264
0.569.209580088554670.0768458279697806
0.579.222850308780910.0797382695908364
0.589.236637788908960.0825425493160533
0.599.250925650238640.085182817696066
0.69.265687909707150.087581031881067
0.619.280891280557190.089674510210754
0.629.296498876452730.0914132198997425
0.639.312475953893910.0928074188879074
0.649.328797406026150.0939151118928286
0.659.345456305900780.0948560042812115
0.669.362472467848590.0958081770982845
0.679.379899799349450.0969945303429187
0.689.397831162874960.0986676981124981
0.699.416399540972660.101075035962939
0.79.43577447750290.104419326803142
0.719.456153054212960.108850864323503
0.729.477745092860230.114411225043047
0.739.500752917566190.121004919233398
0.749.525346933765580.128380117479613
0.759.551639478516470.136155195990797
0.769.579660742205260.143778652331516
0.779.609341752417720.150630016378853
0.789.640509986448590.156079709211329
0.799.672902610316670.159580789086438
0.89.706200202277240.160788600641473
0.819.740080008116670.159671203424112
0.829.77428274239930.156587659528975
0.839.808681824190680.152276262136946
0.849.84334048805380.14782458016138
0.859.87854257277810.144468405255872
0.869.914788913993080.143296435425537
0.879.952764127598920.144947393946317
0.889.993297051285820.149403389599366
0.8910.03735738056810.1561348163961
0.910.08614033586610.16457899310158
0.9110.14127209642070.174882278974658
0.9210.20509794192080.188644980482178
0.9310.28087939352590.209080684349657
0.9410.37255487669940.239315380495809
0.9510.48361419781290.277866112542818
0.9610.61476834237450.313736706439046
0.9710.76061500871670.326771192915206
0.9810.90649424880730.299703340889972
0.9911.02831160260740.241784852316936

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.82004592801638 & 0.0796163387114623 \tabularnewline
0.02 & 7.84691539251075 & 0.0556418883009339 \tabularnewline
0.03 & 7.87180523892001 & 0.0370756974727341 \tabularnewline
0.04 & 7.89181805064452 & 0.0312055322374086 \tabularnewline
0.05 & 7.90863331672494 & 0.0388468445491471 \tabularnewline
0.06 & 7.92537343858057 & 0.0541465189055278 \tabularnewline
0.07 & 7.94462403905545 & 0.0728447613291538 \tabularnewline
0.08 & 7.96785417470277 & 0.0927192819887218 \tabularnewline
0.09 & 7.99557289586227 & 0.112438926449846 \tabularnewline
0.1 & 8.02768046465296 & 0.131254830939905 \tabularnewline
0.11 & 8.06377467942368 & 0.148820476480478 \tabularnewline
0.12 & 8.10335687167503 & 0.165118357227320 \tabularnewline
0.13 & 8.14594982999448 & 0.180332497781051 \tabularnewline
0.14 & 8.19115137838767 & 0.194786552588797 \tabularnewline
0.15 & 8.23864205705693 & 0.208757376594269 \tabularnewline
0.16 & 8.28815977490897 & 0.222318756778082 \tabularnewline
0.17 & 8.33945273611074 & 0.235207639274508 \tabularnewline
0.18 & 8.39222335268674 & 0.246790995958401 \tabularnewline
0.19 & 8.44607735836544 & 0.256168114921839 \tabularnewline
0.2 & 8.50049143332945 & 0.262332826030789 \tabularnewline
0.21 & 8.5548084735547 & 0.264399415887126 \tabularnewline
0.22 & 8.60826310375015 & 0.261756189760789 \tabularnewline
0.23 & 8.66003308609715 & 0.254190108119014 \tabularnewline
0.24 & 8.70930688236055 & 0.241930084462079 \tabularnewline
0.25 & 8.75535500646105 & 0.225593955620750 \tabularnewline
0.26 & 8.79759317199633 & 0.206144689810417 \tabularnewline
0.27 & 8.83562797143773 & 0.184714526908652 \tabularnewline
0.28 & 8.86927985885277 & 0.162515755385667 \tabularnewline
0.29 & 8.89858245294885 & 0.140703945461899 \tabularnewline
0.3 & 8.92376078933891 & 0.120277563502451 \tabularnewline
0.31 & 8.94519365375418 & 0.102037342405432 \tabularnewline
0.32 & 8.96336639145158 & 0.086524873888386 \tabularnewline
0.33 & 8.97882073287874 & 0.0740370850132945 \tabularnewline
0.34 & 8.99210745823718 & 0.0646201584889906 \tabularnewline
0.35 & 9.00374644049996 & 0.0580749385833832 \tabularnewline
0.36 & 9.0141970335021 & 0.0539689430683265 \tabularnewline
0.37 & 9.02384013693332 & 0.0517499004548594 \tabularnewline
0.38 & 9.03297175010918 & 0.0507876066152137 \tabularnewline
0.39 & 9.04180655391608 & 0.0505551654460331 \tabularnewline
0.4 & 9.0504891314253 & 0.0506752306041751 \tabularnewline
0.41 & 9.05910991387513 & 0.0508970756345117 \tabularnewline
0.42 & 9.06772284260844 & 0.0511224969995686 \tabularnewline
0.43 & 9.07636204565993 & 0.0513643893996785 \tabularnewline
0.44 & 9.08505546628005 & 0.0517028975778188 \tabularnewline
0.45 & 9.093834229852 & 0.0522356439586292 \tabularnewline
0.46 & 9.10273744446742 & 0.0530854383730134 \tabularnewline
0.47 & 9.11181294202754 & 0.0543079491259723 \tabularnewline
0.48 & 9.1211150484209 & 0.0559257614351591 \tabularnewline
0.49 & 9.13070074195979 & 0.057900882473957 \tabularnewline
0.5 & 9.14062550640236 & 0.0601818602850607 \tabularnewline
0.51 & 9.15093986620232 & 0.0626957876262911 \tabularnewline
0.52 & 9.16168711930403 & 0.0653641753032907 \tabularnewline
0.53 & 9.17290229457678 & 0.0681566852232529 \tabularnewline
0.54 & 9.18461198517819 & 0.0710204878378281 \tabularnewline
0.55 & 9.19683453295964 & 0.0739229149128264 \tabularnewline
0.56 & 9.20958008855467 & 0.0768458279697806 \tabularnewline
0.57 & 9.22285030878091 & 0.0797382695908364 \tabularnewline
0.58 & 9.23663778890896 & 0.0825425493160533 \tabularnewline
0.59 & 9.25092565023864 & 0.085182817696066 \tabularnewline
0.6 & 9.26568790970715 & 0.087581031881067 \tabularnewline
0.61 & 9.28089128055719 & 0.089674510210754 \tabularnewline
0.62 & 9.29649887645273 & 0.0914132198997425 \tabularnewline
0.63 & 9.31247595389391 & 0.0928074188879074 \tabularnewline
0.64 & 9.32879740602615 & 0.0939151118928286 \tabularnewline
0.65 & 9.34545630590078 & 0.0948560042812115 \tabularnewline
0.66 & 9.36247246784859 & 0.0958081770982845 \tabularnewline
0.67 & 9.37989979934945 & 0.0969945303429187 \tabularnewline
0.68 & 9.39783116287496 & 0.0986676981124981 \tabularnewline
0.69 & 9.41639954097266 & 0.101075035962939 \tabularnewline
0.7 & 9.4357744775029 & 0.104419326803142 \tabularnewline
0.71 & 9.45615305421296 & 0.108850864323503 \tabularnewline
0.72 & 9.47774509286023 & 0.114411225043047 \tabularnewline
0.73 & 9.50075291756619 & 0.121004919233398 \tabularnewline
0.74 & 9.52534693376558 & 0.128380117479613 \tabularnewline
0.75 & 9.55163947851647 & 0.136155195990797 \tabularnewline
0.76 & 9.57966074220526 & 0.143778652331516 \tabularnewline
0.77 & 9.60934175241772 & 0.150630016378853 \tabularnewline
0.78 & 9.64050998644859 & 0.156079709211329 \tabularnewline
0.79 & 9.67290261031667 & 0.159580789086438 \tabularnewline
0.8 & 9.70620020227724 & 0.160788600641473 \tabularnewline
0.81 & 9.74008000811667 & 0.159671203424112 \tabularnewline
0.82 & 9.7742827423993 & 0.156587659528975 \tabularnewline
0.83 & 9.80868182419068 & 0.152276262136946 \tabularnewline
0.84 & 9.8433404880538 & 0.14782458016138 \tabularnewline
0.85 & 9.8785425727781 & 0.144468405255872 \tabularnewline
0.86 & 9.91478891399308 & 0.143296435425537 \tabularnewline
0.87 & 9.95276412759892 & 0.144947393946317 \tabularnewline
0.88 & 9.99329705128582 & 0.149403389599366 \tabularnewline
0.89 & 10.0373573805681 & 0.1561348163961 \tabularnewline
0.9 & 10.0861403358661 & 0.16457899310158 \tabularnewline
0.91 & 10.1412720964207 & 0.174882278974658 \tabularnewline
0.92 & 10.2050979419208 & 0.188644980482178 \tabularnewline
0.93 & 10.2808793935259 & 0.209080684349657 \tabularnewline
0.94 & 10.3725548766994 & 0.239315380495809 \tabularnewline
0.95 & 10.4836141978129 & 0.277866112542818 \tabularnewline
0.96 & 10.6147683423745 & 0.313736706439046 \tabularnewline
0.97 & 10.7606150087167 & 0.326771192915206 \tabularnewline
0.98 & 10.9064942488073 & 0.299703340889972 \tabularnewline
0.99 & 11.0283116026074 & 0.241784852316936 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17290&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]7.82004592801638[/C][C]0.0796163387114623[/C][/ROW]
[ROW][C]0.02[/C][C]7.84691539251075[/C][C]0.0556418883009339[/C][/ROW]
[ROW][C]0.03[/C][C]7.87180523892001[/C][C]0.0370756974727341[/C][/ROW]
[ROW][C]0.04[/C][C]7.89181805064452[/C][C]0.0312055322374086[/C][/ROW]
[ROW][C]0.05[/C][C]7.90863331672494[/C][C]0.0388468445491471[/C][/ROW]
[ROW][C]0.06[/C][C]7.92537343858057[/C][C]0.0541465189055278[/C][/ROW]
[ROW][C]0.07[/C][C]7.94462403905545[/C][C]0.0728447613291538[/C][/ROW]
[ROW][C]0.08[/C][C]7.96785417470277[/C][C]0.0927192819887218[/C][/ROW]
[ROW][C]0.09[/C][C]7.99557289586227[/C][C]0.112438926449846[/C][/ROW]
[ROW][C]0.1[/C][C]8.02768046465296[/C][C]0.131254830939905[/C][/ROW]
[ROW][C]0.11[/C][C]8.06377467942368[/C][C]0.148820476480478[/C][/ROW]
[ROW][C]0.12[/C][C]8.10335687167503[/C][C]0.165118357227320[/C][/ROW]
[ROW][C]0.13[/C][C]8.14594982999448[/C][C]0.180332497781051[/C][/ROW]
[ROW][C]0.14[/C][C]8.19115137838767[/C][C]0.194786552588797[/C][/ROW]
[ROW][C]0.15[/C][C]8.23864205705693[/C][C]0.208757376594269[/C][/ROW]
[ROW][C]0.16[/C][C]8.28815977490897[/C][C]0.222318756778082[/C][/ROW]
[ROW][C]0.17[/C][C]8.33945273611074[/C][C]0.235207639274508[/C][/ROW]
[ROW][C]0.18[/C][C]8.39222335268674[/C][C]0.246790995958401[/C][/ROW]
[ROW][C]0.19[/C][C]8.44607735836544[/C][C]0.256168114921839[/C][/ROW]
[ROW][C]0.2[/C][C]8.50049143332945[/C][C]0.262332826030789[/C][/ROW]
[ROW][C]0.21[/C][C]8.5548084735547[/C][C]0.264399415887126[/C][/ROW]
[ROW][C]0.22[/C][C]8.60826310375015[/C][C]0.261756189760789[/C][/ROW]
[ROW][C]0.23[/C][C]8.66003308609715[/C][C]0.254190108119014[/C][/ROW]
[ROW][C]0.24[/C][C]8.70930688236055[/C][C]0.241930084462079[/C][/ROW]
[ROW][C]0.25[/C][C]8.75535500646105[/C][C]0.225593955620750[/C][/ROW]
[ROW][C]0.26[/C][C]8.79759317199633[/C][C]0.206144689810417[/C][/ROW]
[ROW][C]0.27[/C][C]8.83562797143773[/C][C]0.184714526908652[/C][/ROW]
[ROW][C]0.28[/C][C]8.86927985885277[/C][C]0.162515755385667[/C][/ROW]
[ROW][C]0.29[/C][C]8.89858245294885[/C][C]0.140703945461899[/C][/ROW]
[ROW][C]0.3[/C][C]8.92376078933891[/C][C]0.120277563502451[/C][/ROW]
[ROW][C]0.31[/C][C]8.94519365375418[/C][C]0.102037342405432[/C][/ROW]
[ROW][C]0.32[/C][C]8.96336639145158[/C][C]0.086524873888386[/C][/ROW]
[ROW][C]0.33[/C][C]8.97882073287874[/C][C]0.0740370850132945[/C][/ROW]
[ROW][C]0.34[/C][C]8.99210745823718[/C][C]0.0646201584889906[/C][/ROW]
[ROW][C]0.35[/C][C]9.00374644049996[/C][C]0.0580749385833832[/C][/ROW]
[ROW][C]0.36[/C][C]9.0141970335021[/C][C]0.0539689430683265[/C][/ROW]
[ROW][C]0.37[/C][C]9.02384013693332[/C][C]0.0517499004548594[/C][/ROW]
[ROW][C]0.38[/C][C]9.03297175010918[/C][C]0.0507876066152137[/C][/ROW]
[ROW][C]0.39[/C][C]9.04180655391608[/C][C]0.0505551654460331[/C][/ROW]
[ROW][C]0.4[/C][C]9.0504891314253[/C][C]0.0506752306041751[/C][/ROW]
[ROW][C]0.41[/C][C]9.05910991387513[/C][C]0.0508970756345117[/C][/ROW]
[ROW][C]0.42[/C][C]9.06772284260844[/C][C]0.0511224969995686[/C][/ROW]
[ROW][C]0.43[/C][C]9.07636204565993[/C][C]0.0513643893996785[/C][/ROW]
[ROW][C]0.44[/C][C]9.08505546628005[/C][C]0.0517028975778188[/C][/ROW]
[ROW][C]0.45[/C][C]9.093834229852[/C][C]0.0522356439586292[/C][/ROW]
[ROW][C]0.46[/C][C]9.10273744446742[/C][C]0.0530854383730134[/C][/ROW]
[ROW][C]0.47[/C][C]9.11181294202754[/C][C]0.0543079491259723[/C][/ROW]
[ROW][C]0.48[/C][C]9.1211150484209[/C][C]0.0559257614351591[/C][/ROW]
[ROW][C]0.49[/C][C]9.13070074195979[/C][C]0.057900882473957[/C][/ROW]
[ROW][C]0.5[/C][C]9.14062550640236[/C][C]0.0601818602850607[/C][/ROW]
[ROW][C]0.51[/C][C]9.15093986620232[/C][C]0.0626957876262911[/C][/ROW]
[ROW][C]0.52[/C][C]9.16168711930403[/C][C]0.0653641753032907[/C][/ROW]
[ROW][C]0.53[/C][C]9.17290229457678[/C][C]0.0681566852232529[/C][/ROW]
[ROW][C]0.54[/C][C]9.18461198517819[/C][C]0.0710204878378281[/C][/ROW]
[ROW][C]0.55[/C][C]9.19683453295964[/C][C]0.0739229149128264[/C][/ROW]
[ROW][C]0.56[/C][C]9.20958008855467[/C][C]0.0768458279697806[/C][/ROW]
[ROW][C]0.57[/C][C]9.22285030878091[/C][C]0.0797382695908364[/C][/ROW]
[ROW][C]0.58[/C][C]9.23663778890896[/C][C]0.0825425493160533[/C][/ROW]
[ROW][C]0.59[/C][C]9.25092565023864[/C][C]0.085182817696066[/C][/ROW]
[ROW][C]0.6[/C][C]9.26568790970715[/C][C]0.087581031881067[/C][/ROW]
[ROW][C]0.61[/C][C]9.28089128055719[/C][C]0.089674510210754[/C][/ROW]
[ROW][C]0.62[/C][C]9.29649887645273[/C][C]0.0914132198997425[/C][/ROW]
[ROW][C]0.63[/C][C]9.31247595389391[/C][C]0.0928074188879074[/C][/ROW]
[ROW][C]0.64[/C][C]9.32879740602615[/C][C]0.0939151118928286[/C][/ROW]
[ROW][C]0.65[/C][C]9.34545630590078[/C][C]0.0948560042812115[/C][/ROW]
[ROW][C]0.66[/C][C]9.36247246784859[/C][C]0.0958081770982845[/C][/ROW]
[ROW][C]0.67[/C][C]9.37989979934945[/C][C]0.0969945303429187[/C][/ROW]
[ROW][C]0.68[/C][C]9.39783116287496[/C][C]0.0986676981124981[/C][/ROW]
[ROW][C]0.69[/C][C]9.41639954097266[/C][C]0.101075035962939[/C][/ROW]
[ROW][C]0.7[/C][C]9.4357744775029[/C][C]0.104419326803142[/C][/ROW]
[ROW][C]0.71[/C][C]9.45615305421296[/C][C]0.108850864323503[/C][/ROW]
[ROW][C]0.72[/C][C]9.47774509286023[/C][C]0.114411225043047[/C][/ROW]
[ROW][C]0.73[/C][C]9.50075291756619[/C][C]0.121004919233398[/C][/ROW]
[ROW][C]0.74[/C][C]9.52534693376558[/C][C]0.128380117479613[/C][/ROW]
[ROW][C]0.75[/C][C]9.55163947851647[/C][C]0.136155195990797[/C][/ROW]
[ROW][C]0.76[/C][C]9.57966074220526[/C][C]0.143778652331516[/C][/ROW]
[ROW][C]0.77[/C][C]9.60934175241772[/C][C]0.150630016378853[/C][/ROW]
[ROW][C]0.78[/C][C]9.64050998644859[/C][C]0.156079709211329[/C][/ROW]
[ROW][C]0.79[/C][C]9.67290261031667[/C][C]0.159580789086438[/C][/ROW]
[ROW][C]0.8[/C][C]9.70620020227724[/C][C]0.160788600641473[/C][/ROW]
[ROW][C]0.81[/C][C]9.74008000811667[/C][C]0.159671203424112[/C][/ROW]
[ROW][C]0.82[/C][C]9.7742827423993[/C][C]0.156587659528975[/C][/ROW]
[ROW][C]0.83[/C][C]9.80868182419068[/C][C]0.152276262136946[/C][/ROW]
[ROW][C]0.84[/C][C]9.8433404880538[/C][C]0.14782458016138[/C][/ROW]
[ROW][C]0.85[/C][C]9.8785425727781[/C][C]0.144468405255872[/C][/ROW]
[ROW][C]0.86[/C][C]9.91478891399308[/C][C]0.143296435425537[/C][/ROW]
[ROW][C]0.87[/C][C]9.95276412759892[/C][C]0.144947393946317[/C][/ROW]
[ROW][C]0.88[/C][C]9.99329705128582[/C][C]0.149403389599366[/C][/ROW]
[ROW][C]0.89[/C][C]10.0373573805681[/C][C]0.1561348163961[/C][/ROW]
[ROW][C]0.9[/C][C]10.0861403358661[/C][C]0.16457899310158[/C][/ROW]
[ROW][C]0.91[/C][C]10.1412720964207[/C][C]0.174882278974658[/C][/ROW]
[ROW][C]0.92[/C][C]10.2050979419208[/C][C]0.188644980482178[/C][/ROW]
[ROW][C]0.93[/C][C]10.2808793935259[/C][C]0.209080684349657[/C][/ROW]
[ROW][C]0.94[/C][C]10.3725548766994[/C][C]0.239315380495809[/C][/ROW]
[ROW][C]0.95[/C][C]10.4836141978129[/C][C]0.277866112542818[/C][/ROW]
[ROW][C]0.96[/C][C]10.6147683423745[/C][C]0.313736706439046[/C][/ROW]
[ROW][C]0.97[/C][C]10.7606150087167[/C][C]0.326771192915206[/C][/ROW]
[ROW][C]0.98[/C][C]10.9064942488073[/C][C]0.299703340889972[/C][/ROW]
[ROW][C]0.99[/C][C]11.0283116026074[/C][C]0.241784852316936[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17290&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
0.017.820045928016380.0796163387114623
0.027.846915392510750.0556418883009339
0.037.871805238920010.0370756974727341
0.047.891818050644520.0312055322374086
0.057.908633316724940.0388468445491471
0.067.925373438580570.0541465189055278
0.077.944624039055450.0728447613291538
0.087.967854174702770.0927192819887218
0.097.995572895862270.112438926449846
0.18.027680464652960.131254830939905
0.118.063774679423680.148820476480478
0.128.103356871675030.165118357227320
0.138.145949829994480.180332497781051
0.148.191151378387670.194786552588797
0.158.238642057056930.208757376594269
0.168.288159774908970.222318756778082
0.178.339452736110740.235207639274508
0.188.392223352686740.246790995958401
0.198.446077358365440.256168114921839
0.28.500491433329450.262332826030789
0.218.55480847355470.264399415887126
0.228.608263103750150.261756189760789
0.238.660033086097150.254190108119014
0.248.709306882360550.241930084462079
0.258.755355006461050.225593955620750
0.268.797593171996330.206144689810417
0.278.835627971437730.184714526908652
0.288.869279858852770.162515755385667
0.298.898582452948850.140703945461899
0.38.923760789338910.120277563502451
0.318.945193653754180.102037342405432
0.328.963366391451580.086524873888386
0.338.978820732878740.0740370850132945
0.348.992107458237180.0646201584889906
0.359.003746440499960.0580749385833832
0.369.01419703350210.0539689430683265
0.379.023840136933320.0517499004548594
0.389.032971750109180.0507876066152137
0.399.041806553916080.0505551654460331
0.49.05048913142530.0506752306041751
0.419.059109913875130.0508970756345117
0.429.067722842608440.0511224969995686
0.439.076362045659930.0513643893996785
0.449.085055466280050.0517028975778188
0.459.0938342298520.0522356439586292
0.469.102737444467420.0530854383730134
0.479.111812942027540.0543079491259723
0.489.12111504842090.0559257614351591
0.499.130700741959790.057900882473957
0.59.140625506402360.0601818602850607
0.519.150939866202320.0626957876262911
0.529.161687119304030.0653641753032907
0.539.172902294576780.0681566852232529
0.549.184611985178190.0710204878378281
0.559.196834532959640.0739229149128264
0.569.209580088554670.0768458279697806
0.579.222850308780910.0797382695908364
0.589.236637788908960.0825425493160533
0.599.250925650238640.085182817696066
0.69.265687909707150.087581031881067
0.619.280891280557190.089674510210754
0.629.296498876452730.0914132198997425
0.639.312475953893910.0928074188879074
0.649.328797406026150.0939151118928286
0.659.345456305900780.0948560042812115
0.669.362472467848590.0958081770982845
0.679.379899799349450.0969945303429187
0.689.397831162874960.0986676981124981
0.699.416399540972660.101075035962939
0.79.43577447750290.104419326803142
0.719.456153054212960.108850864323503
0.729.477745092860230.114411225043047
0.739.500752917566190.121004919233398
0.749.525346933765580.128380117479613
0.759.551639478516470.136155195990797
0.769.579660742205260.143778652331516
0.779.609341752417720.150630016378853
0.789.640509986448590.156079709211329
0.799.672902610316670.159580789086438
0.89.706200202277240.160788600641473
0.819.740080008116670.159671203424112
0.829.77428274239930.156587659528975
0.839.808681824190680.152276262136946
0.849.84334048805380.14782458016138
0.859.87854257277810.144468405255872
0.869.914788913993080.143296435425537
0.879.952764127598920.144947393946317
0.889.993297051285820.149403389599366
0.8910.03735738056810.1561348163961
0.910.08614033586610.16457899310158
0.9110.14127209642070.174882278974658
0.9210.20509794192080.188644980482178
0.9310.28087939352590.209080684349657
0.9410.37255487669940.239315380495809
0.9510.48361419781290.277866112542818
0.9610.61476834237450.313736706439046
0.9710.76061500871670.326771192915206
0.9810.90649424880730.299703340889972
0.9911.02831160260740.241784852316936


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')