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Description of Statistical Computation

Author's title

Harrel-Davis Percentielen Index Consumptieprijs Visitekaartjes met als basi...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 16 Feb 2012 10:03:29 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329404646mh41twue3sudt32.htm/, Retrieved Sat, 27 Apr 2024 16:31:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162681, Retrieved Sat, 27 Apr 2024 16:31:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis Perc...] [2012-02-16 15:03:29] [b1a32f872c4b465525fe03c124440f0d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.15
101.14
101.23
101.11
101.55
101.55
101.55
101.6
101.71
101.81
101.95
102.12
102.11
102.25
102.35
102.42
102.34
102.32
102.39
102.45
102.68
102.77
102.83
102.83
103.21
103.58
102.5
102.68
102.7
102.7
102.73
102.72
102.71
102.91
103.1
103.1
103.39
103.38
103.34
103.33
103.33
103.33
103.48
104.38
105.76
107.37
108.16
111.21
112.77
114.39
114.37
114.52
114.54
114.78
114.83
115.86
117
117.27
117.38
117.83

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162681&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162681&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.1198361514930.0335603942871329
0.02101.1392340816330.0532840504736768
0.03101.1688250566420.0879804360351875
0.04101.2088041916370.126834250964627
0.05101.2580349346690.159052394606979
0.06101.3137785930330.178287330227759
0.07101.3724619720220.184034963901674
0.08101.4308583450770.180591608202119
0.09101.4869600083480.174761504113675
0.1101.5402199703480.172464647302654
0.11101.591245367430.176734345445921
0.12101.6412229842140.187390974347022
0.13101.6913542108060.20162018439159
0.14101.7424678968320.216507262766701
0.15101.7948570778390.229328166981841
0.16101.8483011910980.238429569591281
0.17101.9022005023780.24298769539441
0.18101.9557516406440.242652767660958
0.19102.0081134844030.238062640584131
0.2102.0585361166070.229840285982117
0.21102.1064441195980.219025730911915
0.22102.1514768815310.206925266266151
0.23102.1934938613780.194393677811861
0.24102.232554051350.182440125800021
0.25102.2688781856320.171871249878864
0.26102.3028009526130.163258192178398
0.27102.3347192900660.156851138544681
0.28102.3650419804370.152545903897068
0.29102.3941451027050.150091857435507
0.3102.4223371985030.148856862197721
0.31102.4498370575190.14833369692281
0.32102.4767657245990.147828111569515
0.33102.5031527375480.146630100773761
0.34102.5289549144670.144670670909398
0.35102.5540844902090.141486836325045
0.36102.5784423170110.137296797202468
0.37102.6019513822370.132421647510209
0.38102.6245861220070.127201560351256
0.39102.6463938549530.122538718799564
0.4102.6675059463320.118638753889747
0.41102.6881377972710.116476140492048
0.42102.7085781904050.116467887424266
0.43102.7291697125120.119016832018677
0.44102.7502827997540.124082957208692
0.45102.7722863855740.131542923748375
0.46102.7955182262050.141133026729293
0.47102.8202578325420.152070241158651
0.48102.8467046600140.163887468559864
0.49102.874963892030.175927403778732
0.5102.9050418524450.187360323383736
0.51102.9368528122110.197605979052803
0.52102.9702386942050.206400850708329
0.53103.0050028861520.213451207242467
0.54103.0409589925550.218793448440312
0.55103.0779948379350.222879951267848
0.56103.1161513194420.226590400700812
0.57103.1557147387640.231750249857002
0.58103.1973199638590.240479303207314
0.59103.2420601370530.256100984482248
0.6103.2915966539950.28273107131395
0.61103.3482608600690.324653624807571
0.62103.4151365300880.386479623398905
0.63103.4961100260080.472434500779895
0.64103.5958734960710.586201808160952
0.65103.7198660821610.73083685113886
0.66103.8741393153090.908320221768166
0.67104.0651360612821.11947159092423
0.68104.2993776990491.36295476575104
0.69104.5830616344591.63545730552307
0.7104.9215805536561.93070688125094
0.71105.318985672862.24014158548151
0.72105.7774282060362.55212849605628
0.73106.2966257041542.85283116197712
0.74106.8734117134693.12675092564616
0.75107.5014364647213.3572543011639
0.76108.171090159263.52832077096319
0.77108.8697151749443.62575652745079
0.78109.5821554816363.63897005782087
0.79110.2916584539613.56277251758866
0.8110.9810969174693.39852866739551
0.81111.6344228159013.15490321476108
0.82112.2382077546152.84791715849335
0.83112.7830816069792.49966717528027
0.84113.2648589638492.1365998958675
0.85113.6851502787441.78659888292981
0.86114.0512896448781.47677248926821
0.87114.375470071041.23100991669061
0.88114.6730586367491.06673353397061
0.89114.9601764853780.988619661935386
0.9115.2507902776060.981513805350208
0.91115.5537850322881.01197645636221
0.92115.8707481747061.03978513655152
0.93116.1953870660421.02906938665336
0.94116.5154118548960.957272746178696
0.95116.8170232413150.822652110380504
0.96117.0905606586940.649268758051296
0.97117.3336062069020.48613933311088
0.98117.5466881868180.395642154162383
0.99117.7209223101670.400985647255217

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.119836151493 & 0.0335603942871329 \tabularnewline
0.02 & 101.139234081633 & 0.0532840504736768 \tabularnewline
0.03 & 101.168825056642 & 0.0879804360351875 \tabularnewline
0.04 & 101.208804191637 & 0.126834250964627 \tabularnewline
0.05 & 101.258034934669 & 0.159052394606979 \tabularnewline
0.06 & 101.313778593033 & 0.178287330227759 \tabularnewline
0.07 & 101.372461972022 & 0.184034963901674 \tabularnewline
0.08 & 101.430858345077 & 0.180591608202119 \tabularnewline
0.09 & 101.486960008348 & 0.174761504113675 \tabularnewline
0.1 & 101.540219970348 & 0.172464647302654 \tabularnewline
0.11 & 101.59124536743 & 0.176734345445921 \tabularnewline
0.12 & 101.641222984214 & 0.187390974347022 \tabularnewline
0.13 & 101.691354210806 & 0.20162018439159 \tabularnewline
0.14 & 101.742467896832 & 0.216507262766701 \tabularnewline
0.15 & 101.794857077839 & 0.229328166981841 \tabularnewline
0.16 & 101.848301191098 & 0.238429569591281 \tabularnewline
0.17 & 101.902200502378 & 0.24298769539441 \tabularnewline
0.18 & 101.955751640644 & 0.242652767660958 \tabularnewline
0.19 & 102.008113484403 & 0.238062640584131 \tabularnewline
0.2 & 102.058536116607 & 0.229840285982117 \tabularnewline
0.21 & 102.106444119598 & 0.219025730911915 \tabularnewline
0.22 & 102.151476881531 & 0.206925266266151 \tabularnewline
0.23 & 102.193493861378 & 0.194393677811861 \tabularnewline
0.24 & 102.23255405135 & 0.182440125800021 \tabularnewline
0.25 & 102.268878185632 & 0.171871249878864 \tabularnewline
0.26 & 102.302800952613 & 0.163258192178398 \tabularnewline
0.27 & 102.334719290066 & 0.156851138544681 \tabularnewline
0.28 & 102.365041980437 & 0.152545903897068 \tabularnewline
0.29 & 102.394145102705 & 0.150091857435507 \tabularnewline
0.3 & 102.422337198503 & 0.148856862197721 \tabularnewline
0.31 & 102.449837057519 & 0.14833369692281 \tabularnewline
0.32 & 102.476765724599 & 0.147828111569515 \tabularnewline
0.33 & 102.503152737548 & 0.146630100773761 \tabularnewline
0.34 & 102.528954914467 & 0.144670670909398 \tabularnewline
0.35 & 102.554084490209 & 0.141486836325045 \tabularnewline
0.36 & 102.578442317011 & 0.137296797202468 \tabularnewline
0.37 & 102.601951382237 & 0.132421647510209 \tabularnewline
0.38 & 102.624586122007 & 0.127201560351256 \tabularnewline
0.39 & 102.646393854953 & 0.122538718799564 \tabularnewline
0.4 & 102.667505946332 & 0.118638753889747 \tabularnewline
0.41 & 102.688137797271 & 0.116476140492048 \tabularnewline
0.42 & 102.708578190405 & 0.116467887424266 \tabularnewline
0.43 & 102.729169712512 & 0.119016832018677 \tabularnewline
0.44 & 102.750282799754 & 0.124082957208692 \tabularnewline
0.45 & 102.772286385574 & 0.131542923748375 \tabularnewline
0.46 & 102.795518226205 & 0.141133026729293 \tabularnewline
0.47 & 102.820257832542 & 0.152070241158651 \tabularnewline
0.48 & 102.846704660014 & 0.163887468559864 \tabularnewline
0.49 & 102.87496389203 & 0.175927403778732 \tabularnewline
0.5 & 102.905041852445 & 0.187360323383736 \tabularnewline
0.51 & 102.936852812211 & 0.197605979052803 \tabularnewline
0.52 & 102.970238694205 & 0.206400850708329 \tabularnewline
0.53 & 103.005002886152 & 0.213451207242467 \tabularnewline
0.54 & 103.040958992555 & 0.218793448440312 \tabularnewline
0.55 & 103.077994837935 & 0.222879951267848 \tabularnewline
0.56 & 103.116151319442 & 0.226590400700812 \tabularnewline
0.57 & 103.155714738764 & 0.231750249857002 \tabularnewline
0.58 & 103.197319963859 & 0.240479303207314 \tabularnewline
0.59 & 103.242060137053 & 0.256100984482248 \tabularnewline
0.6 & 103.291596653995 & 0.28273107131395 \tabularnewline
0.61 & 103.348260860069 & 0.324653624807571 \tabularnewline
0.62 & 103.415136530088 & 0.386479623398905 \tabularnewline
0.63 & 103.496110026008 & 0.472434500779895 \tabularnewline
0.64 & 103.595873496071 & 0.586201808160952 \tabularnewline
0.65 & 103.719866082161 & 0.73083685113886 \tabularnewline
0.66 & 103.874139315309 & 0.908320221768166 \tabularnewline
0.67 & 104.065136061282 & 1.11947159092423 \tabularnewline
0.68 & 104.299377699049 & 1.36295476575104 \tabularnewline
0.69 & 104.583061634459 & 1.63545730552307 \tabularnewline
0.7 & 104.921580553656 & 1.93070688125094 \tabularnewline
0.71 & 105.31898567286 & 2.24014158548151 \tabularnewline
0.72 & 105.777428206036 & 2.55212849605628 \tabularnewline
0.73 & 106.296625704154 & 2.85283116197712 \tabularnewline
0.74 & 106.873411713469 & 3.12675092564616 \tabularnewline
0.75 & 107.501436464721 & 3.3572543011639 \tabularnewline
0.76 & 108.17109015926 & 3.52832077096319 \tabularnewline
0.77 & 108.869715174944 & 3.62575652745079 \tabularnewline
0.78 & 109.582155481636 & 3.63897005782087 \tabularnewline
0.79 & 110.291658453961 & 3.56277251758866 \tabularnewline
0.8 & 110.981096917469 & 3.39852866739551 \tabularnewline
0.81 & 111.634422815901 & 3.15490321476108 \tabularnewline
0.82 & 112.238207754615 & 2.84791715849335 \tabularnewline
0.83 & 112.783081606979 & 2.49966717528027 \tabularnewline
0.84 & 113.264858963849 & 2.1365998958675 \tabularnewline
0.85 & 113.685150278744 & 1.78659888292981 \tabularnewline
0.86 & 114.051289644878 & 1.47677248926821 \tabularnewline
0.87 & 114.37547007104 & 1.23100991669061 \tabularnewline
0.88 & 114.673058636749 & 1.06673353397061 \tabularnewline
0.89 & 114.960176485378 & 0.988619661935386 \tabularnewline
0.9 & 115.250790277606 & 0.981513805350208 \tabularnewline
0.91 & 115.553785032288 & 1.01197645636221 \tabularnewline
0.92 & 115.870748174706 & 1.03978513655152 \tabularnewline
0.93 & 116.195387066042 & 1.02906938665336 \tabularnewline
0.94 & 116.515411854896 & 0.957272746178696 \tabularnewline
0.95 & 116.817023241315 & 0.822652110380504 \tabularnewline
0.96 & 117.090560658694 & 0.649268758051296 \tabularnewline
0.97 & 117.333606206902 & 0.48613933311088 \tabularnewline
0.98 & 117.546688186818 & 0.395642154162383 \tabularnewline
0.99 & 117.720922310167 & 0.400985647255217 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162681&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]101.119836151493[/C][C]0.0335603942871329[/C][/ROW]
[ROW][C]0.02[/C][C]101.139234081633[/C][C]0.0532840504736768[/C][/ROW]
[ROW][C]0.03[/C][C]101.168825056642[/C][C]0.0879804360351875[/C][/ROW]
[ROW][C]0.04[/C][C]101.208804191637[/C][C]0.126834250964627[/C][/ROW]
[ROW][C]0.05[/C][C]101.258034934669[/C][C]0.159052394606979[/C][/ROW]
[ROW][C]0.06[/C][C]101.313778593033[/C][C]0.178287330227759[/C][/ROW]
[ROW][C]0.07[/C][C]101.372461972022[/C][C]0.184034963901674[/C][/ROW]
[ROW][C]0.08[/C][C]101.430858345077[/C][C]0.180591608202119[/C][/ROW]
[ROW][C]0.09[/C][C]101.486960008348[/C][C]0.174761504113675[/C][/ROW]
[ROW][C]0.1[/C][C]101.540219970348[/C][C]0.172464647302654[/C][/ROW]
[ROW][C]0.11[/C][C]101.59124536743[/C][C]0.176734345445921[/C][/ROW]
[ROW][C]0.12[/C][C]101.641222984214[/C][C]0.187390974347022[/C][/ROW]
[ROW][C]0.13[/C][C]101.691354210806[/C][C]0.20162018439159[/C][/ROW]
[ROW][C]0.14[/C][C]101.742467896832[/C][C]0.216507262766701[/C][/ROW]
[ROW][C]0.15[/C][C]101.794857077839[/C][C]0.229328166981841[/C][/ROW]
[ROW][C]0.16[/C][C]101.848301191098[/C][C]0.238429569591281[/C][/ROW]
[ROW][C]0.17[/C][C]101.902200502378[/C][C]0.24298769539441[/C][/ROW]
[ROW][C]0.18[/C][C]101.955751640644[/C][C]0.242652767660958[/C][/ROW]
[ROW][C]0.19[/C][C]102.008113484403[/C][C]0.238062640584131[/C][/ROW]
[ROW][C]0.2[/C][C]102.058536116607[/C][C]0.229840285982117[/C][/ROW]
[ROW][C]0.21[/C][C]102.106444119598[/C][C]0.219025730911915[/C][/ROW]
[ROW][C]0.22[/C][C]102.151476881531[/C][C]0.206925266266151[/C][/ROW]
[ROW][C]0.23[/C][C]102.193493861378[/C][C]0.194393677811861[/C][/ROW]
[ROW][C]0.24[/C][C]102.23255405135[/C][C]0.182440125800021[/C][/ROW]
[ROW][C]0.25[/C][C]102.268878185632[/C][C]0.171871249878864[/C][/ROW]
[ROW][C]0.26[/C][C]102.302800952613[/C][C]0.163258192178398[/C][/ROW]
[ROW][C]0.27[/C][C]102.334719290066[/C][C]0.156851138544681[/C][/ROW]
[ROW][C]0.28[/C][C]102.365041980437[/C][C]0.152545903897068[/C][/ROW]
[ROW][C]0.29[/C][C]102.394145102705[/C][C]0.150091857435507[/C][/ROW]
[ROW][C]0.3[/C][C]102.422337198503[/C][C]0.148856862197721[/C][/ROW]
[ROW][C]0.31[/C][C]102.449837057519[/C][C]0.14833369692281[/C][/ROW]
[ROW][C]0.32[/C][C]102.476765724599[/C][C]0.147828111569515[/C][/ROW]
[ROW][C]0.33[/C][C]102.503152737548[/C][C]0.146630100773761[/C][/ROW]
[ROW][C]0.34[/C][C]102.528954914467[/C][C]0.144670670909398[/C][/ROW]
[ROW][C]0.35[/C][C]102.554084490209[/C][C]0.141486836325045[/C][/ROW]
[ROW][C]0.36[/C][C]102.578442317011[/C][C]0.137296797202468[/C][/ROW]
[ROW][C]0.37[/C][C]102.601951382237[/C][C]0.132421647510209[/C][/ROW]
[ROW][C]0.38[/C][C]102.624586122007[/C][C]0.127201560351256[/C][/ROW]
[ROW][C]0.39[/C][C]102.646393854953[/C][C]0.122538718799564[/C][/ROW]
[ROW][C]0.4[/C][C]102.667505946332[/C][C]0.118638753889747[/C][/ROW]
[ROW][C]0.41[/C][C]102.688137797271[/C][C]0.116476140492048[/C][/ROW]
[ROW][C]0.42[/C][C]102.708578190405[/C][C]0.116467887424266[/C][/ROW]
[ROW][C]0.43[/C][C]102.729169712512[/C][C]0.119016832018677[/C][/ROW]
[ROW][C]0.44[/C][C]102.750282799754[/C][C]0.124082957208692[/C][/ROW]
[ROW][C]0.45[/C][C]102.772286385574[/C][C]0.131542923748375[/C][/ROW]
[ROW][C]0.46[/C][C]102.795518226205[/C][C]0.141133026729293[/C][/ROW]
[ROW][C]0.47[/C][C]102.820257832542[/C][C]0.152070241158651[/C][/ROW]
[ROW][C]0.48[/C][C]102.846704660014[/C][C]0.163887468559864[/C][/ROW]
[ROW][C]0.49[/C][C]102.87496389203[/C][C]0.175927403778732[/C][/ROW]
[ROW][C]0.5[/C][C]102.905041852445[/C][C]0.187360323383736[/C][/ROW]
[ROW][C]0.51[/C][C]102.936852812211[/C][C]0.197605979052803[/C][/ROW]
[ROW][C]0.52[/C][C]102.970238694205[/C][C]0.206400850708329[/C][/ROW]
[ROW][C]0.53[/C][C]103.005002886152[/C][C]0.213451207242467[/C][/ROW]
[ROW][C]0.54[/C][C]103.040958992555[/C][C]0.218793448440312[/C][/ROW]
[ROW][C]0.55[/C][C]103.077994837935[/C][C]0.222879951267848[/C][/ROW]
[ROW][C]0.56[/C][C]103.116151319442[/C][C]0.226590400700812[/C][/ROW]
[ROW][C]0.57[/C][C]103.155714738764[/C][C]0.231750249857002[/C][/ROW]
[ROW][C]0.58[/C][C]103.197319963859[/C][C]0.240479303207314[/C][/ROW]
[ROW][C]0.59[/C][C]103.242060137053[/C][C]0.256100984482248[/C][/ROW]
[ROW][C]0.6[/C][C]103.291596653995[/C][C]0.28273107131395[/C][/ROW]
[ROW][C]0.61[/C][C]103.348260860069[/C][C]0.324653624807571[/C][/ROW]
[ROW][C]0.62[/C][C]103.415136530088[/C][C]0.386479623398905[/C][/ROW]
[ROW][C]0.63[/C][C]103.496110026008[/C][C]0.472434500779895[/C][/ROW]
[ROW][C]0.64[/C][C]103.595873496071[/C][C]0.586201808160952[/C][/ROW]
[ROW][C]0.65[/C][C]103.719866082161[/C][C]0.73083685113886[/C][/ROW]
[ROW][C]0.66[/C][C]103.874139315309[/C][C]0.908320221768166[/C][/ROW]
[ROW][C]0.67[/C][C]104.065136061282[/C][C]1.11947159092423[/C][/ROW]
[ROW][C]0.68[/C][C]104.299377699049[/C][C]1.36295476575104[/C][/ROW]
[ROW][C]0.69[/C][C]104.583061634459[/C][C]1.63545730552307[/C][/ROW]
[ROW][C]0.7[/C][C]104.921580553656[/C][C]1.93070688125094[/C][/ROW]
[ROW][C]0.71[/C][C]105.31898567286[/C][C]2.24014158548151[/C][/ROW]
[ROW][C]0.72[/C][C]105.777428206036[/C][C]2.55212849605628[/C][/ROW]
[ROW][C]0.73[/C][C]106.296625704154[/C][C]2.85283116197712[/C][/ROW]
[ROW][C]0.74[/C][C]106.873411713469[/C][C]3.12675092564616[/C][/ROW]
[ROW][C]0.75[/C][C]107.501436464721[/C][C]3.3572543011639[/C][/ROW]
[ROW][C]0.76[/C][C]108.17109015926[/C][C]3.52832077096319[/C][/ROW]
[ROW][C]0.77[/C][C]108.869715174944[/C][C]3.62575652745079[/C][/ROW]
[ROW][C]0.78[/C][C]109.582155481636[/C][C]3.63897005782087[/C][/ROW]
[ROW][C]0.79[/C][C]110.291658453961[/C][C]3.56277251758866[/C][/ROW]
[ROW][C]0.8[/C][C]110.981096917469[/C][C]3.39852866739551[/C][/ROW]
[ROW][C]0.81[/C][C]111.634422815901[/C][C]3.15490321476108[/C][/ROW]
[ROW][C]0.82[/C][C]112.238207754615[/C][C]2.84791715849335[/C][/ROW]
[ROW][C]0.83[/C][C]112.783081606979[/C][C]2.49966717528027[/C][/ROW]
[ROW][C]0.84[/C][C]113.264858963849[/C][C]2.1365998958675[/C][/ROW]
[ROW][C]0.85[/C][C]113.685150278744[/C][C]1.78659888292981[/C][/ROW]
[ROW][C]0.86[/C][C]114.051289644878[/C][C]1.47677248926821[/C][/ROW]
[ROW][C]0.87[/C][C]114.37547007104[/C][C]1.23100991669061[/C][/ROW]
[ROW][C]0.88[/C][C]114.673058636749[/C][C]1.06673353397061[/C][/ROW]
[ROW][C]0.89[/C][C]114.960176485378[/C][C]0.988619661935386[/C][/ROW]
[ROW][C]0.9[/C][C]115.250790277606[/C][C]0.981513805350208[/C][/ROW]
[ROW][C]0.91[/C][C]115.553785032288[/C][C]1.01197645636221[/C][/ROW]
[ROW][C]0.92[/C][C]115.870748174706[/C][C]1.03978513655152[/C][/ROW]
[ROW][C]0.93[/C][C]116.195387066042[/C][C]1.02906938665336[/C][/ROW]
[ROW][C]0.94[/C][C]116.515411854896[/C][C]0.957272746178696[/C][/ROW]
[ROW][C]0.95[/C][C]116.817023241315[/C][C]0.822652110380504[/C][/ROW]
[ROW][C]0.96[/C][C]117.090560658694[/C][C]0.649268758051296[/C][/ROW]
[ROW][C]0.97[/C][C]117.333606206902[/C][C]0.48613933311088[/C][/ROW]
[ROW][C]0.98[/C][C]117.546688186818[/C][C]0.395642154162383[/C][/ROW]
[ROW][C]0.99[/C][C]117.720922310167[/C][C]0.400985647255217[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162681&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
0.01101.1198361514930.0335603942871329
0.02101.1392340816330.0532840504736768
0.03101.1688250566420.0879804360351875
0.04101.2088041916370.126834250964627
0.05101.2580349346690.159052394606979
0.06101.3137785930330.178287330227759
0.07101.3724619720220.184034963901674
0.08101.4308583450770.180591608202119
0.09101.4869600083480.174761504113675
0.1101.5402199703480.172464647302654
0.11101.591245367430.176734345445921
0.12101.6412229842140.187390974347022
0.13101.6913542108060.20162018439159
0.14101.7424678968320.216507262766701
0.15101.7948570778390.229328166981841
0.16101.8483011910980.238429569591281
0.17101.9022005023780.24298769539441
0.18101.9557516406440.242652767660958
0.19102.0081134844030.238062640584131
0.2102.0585361166070.229840285982117
0.21102.1064441195980.219025730911915
0.22102.1514768815310.206925266266151
0.23102.1934938613780.194393677811861
0.24102.232554051350.182440125800021
0.25102.2688781856320.171871249878864
0.26102.3028009526130.163258192178398
0.27102.3347192900660.156851138544681
0.28102.3650419804370.152545903897068
0.29102.3941451027050.150091857435507
0.3102.4223371985030.148856862197721
0.31102.4498370575190.14833369692281
0.32102.4767657245990.147828111569515
0.33102.5031527375480.146630100773761
0.34102.5289549144670.144670670909398
0.35102.5540844902090.141486836325045
0.36102.5784423170110.137296797202468
0.37102.6019513822370.132421647510209
0.38102.6245861220070.127201560351256
0.39102.6463938549530.122538718799564
0.4102.6675059463320.118638753889747
0.41102.6881377972710.116476140492048
0.42102.7085781904050.116467887424266
0.43102.7291697125120.119016832018677
0.44102.7502827997540.124082957208692
0.45102.7722863855740.131542923748375
0.46102.7955182262050.141133026729293
0.47102.8202578325420.152070241158651
0.48102.8467046600140.163887468559864
0.49102.874963892030.175927403778732
0.5102.9050418524450.187360323383736
0.51102.9368528122110.197605979052803
0.52102.9702386942050.206400850708329
0.53103.0050028861520.213451207242467
0.54103.0409589925550.218793448440312
0.55103.0779948379350.222879951267848
0.56103.1161513194420.226590400700812
0.57103.1557147387640.231750249857002
0.58103.1973199638590.240479303207314
0.59103.2420601370530.256100984482248
0.6103.2915966539950.28273107131395
0.61103.3482608600690.324653624807571
0.62103.4151365300880.386479623398905
0.63103.4961100260080.472434500779895
0.64103.5958734960710.586201808160952
0.65103.7198660821610.73083685113886
0.66103.8741393153090.908320221768166
0.67104.0651360612821.11947159092423
0.68104.2993776990491.36295476575104
0.69104.5830616344591.63545730552307
0.7104.9215805536561.93070688125094
0.71105.318985672862.24014158548151
0.72105.7774282060362.55212849605628
0.73106.2966257041542.85283116197712
0.74106.8734117134693.12675092564616
0.75107.5014364647213.3572543011639
0.76108.171090159263.52832077096319
0.77108.8697151749443.62575652745079
0.78109.5821554816363.63897005782087
0.79110.2916584539613.56277251758866
0.8110.9810969174693.39852866739551
0.81111.6344228159013.15490321476108
0.82112.2382077546152.84791715849335
0.83112.7830816069792.49966717528027
0.84113.2648589638492.1365998958675
0.85113.6851502787441.78659888292981
0.86114.0512896448781.47677248926821
0.87114.375470071041.23100991669061
0.88114.6730586367491.06673353397061
0.89114.9601764853780.988619661935386
0.9115.2507902776060.981513805350208
0.91115.5537850322881.01197645636221
0.92115.8707481747061.03978513655152
0.93116.1953870660421.02906938665336
0.94116.5154118548960.957272746178696
0.95116.8170232413150.822652110380504
0.96117.0905606586940.649268758051296
0.97117.3336062069020.48613933311088
0.98117.5466881868180.395642154162383
0.99117.7209223101670.400985647255217


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')