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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 15:04:19 -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/22/t1329941103ct72ee1b3nowe8j.htm/, Retrieved Mon, 06 May 2024 15:45:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163184, Retrieved Mon, 06 May 2024 15:45:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [] [2012-02-22 19:36:17] [af6b347fe17b8a57e076538e87e25d4e]
-    D  [Harrell-Davis Quantiles] [] [2012-02-22 19:55:29] [af6b347fe17b8a57e076538e87e25d4e]
- R PD      [Harrell-Davis Quantiles] [] [2012-02-22 20:04:19] [6ae3a840f5540338367116d7beba32a2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.15
13.47
13.65
13.52
14.13
14.84
15.29
15.51
15.43
15.42
15.56
15.43
15.36
15.18
15.41
15.15
15.21
15.09
15.09
15.5
15.41
15.42
15.47
15.23
15.59
15.22
15.45
15.02
15.5
15.59
15.98
15.76
15.43
15.45
15.32
15.4
15.42
15.54
15.6
15.67
15.61
16.01
16.06
16.15
15.87
15.89
15.73
15.78
16.07
16.2
16.42
16.61
16.89
17.62
17.83
17.94
18.07
17.85
17.86
17.85

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163184&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163184&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.22291609022820.274136737860187
0.0213.33386862723880.242962052858024
0.0313.46128821581950.265786933328715
0.0413.59836116311210.342772188254038
0.0513.74748370504030.438637810041615
0.0613.91055758222650.521148925092492
0.0714.08436218684670.570263626718527
0.0814.26114289731260.578451145651106
0.0914.43149265538540.54890792046729
0.114.58715229512620.491783989713582
0.1114.72267521287560.41982389762573
0.1214.83585381261050.344840087595287
0.1314.92725853048330.275583476949944
0.1414.99934726840940.217212961225173
0.1515.05552354121340.171639711525927
0.1615.09937279225030.138466477240396
0.1715.13416308258650.11592397427942
0.1815.16259593144530.101665622830287
0.1915.18674301018560.0932857409566408
0.215.20809424537850.0887831968625938
0.2115.22765593301330.0865715196929179
0.2215.24605869964790.0855006214237703
0.2315.2636548309190.0847105452449051
0.2415.28059829422070.083612599363
0.2515.29690823759090.0818215677167124
0.2615.31251936380450.0791016048217793
0.2715.32732239943450.0754130708886892
0.2815.34119663433030.0708073081775972
0.2915.35403530197150.0654845666337288
0.315.36576390015210.0596937363167763
0.3115.37635147054730.0537193926856069
0.3215.38581518447240.047870245384403
0.3315.39421906956550.0424030827528193
0.3415.40166814319390.037596438441063
0.3515.40829946276130.0336064845876987
0.3615.41427162073880.0305837453388735
0.3715.41975403311340.0285865989702169
0.3815.42491706357440.0276235500811095
0.3915.42992367175210.0276300357013903
0.415.43492294005130.0284828661242754
0.4115.44004556441820.0300265007523172
0.4215.44540120823340.0320980060719036
0.4315.45107751256790.0345470187335358
0.4415.45714051406980.0372686914375586
0.4515.46363622242320.0401396631924333
0.4615.47059313235960.0430681820228806
0.4715.47802547456260.0459833866764007
0.4815.48593703411020.0488169030708905
0.4915.49432537665510.0515838665379034
0.515.50318631630860.0542680435993048
0.5115.51251843296490.0568903891477367
0.5215.52232740259310.0595122533413835
0.5315.53262985008410.0622257965649461
0.5415.54345638591230.0651099217121661
0.5515.55485346619520.068292219978532
0.5615.56688374275630.0718649202199008
0.5715.57962466172160.075916851859186
0.5815.59316522913430.080521801446887
0.5915.60760107565960.08568242929201
0.615.62302818842580.0913818290943329
0.6115.63953589529340.0975323326282069
0.6215.65719984613140.103991923544455
0.6315.67607581266560.110603836130437
0.6415.6961951229410.117194431416549
0.6515.71756248344260.123570622297357
0.6615.74015686277120.129569354940402
0.6715.76393605577240.135053567905941
0.6815.78884553518060.139954163418889
0.6915.81483221119890.144226059927413
0.715.8418636987320.147983329158793
0.7115.86995354696080.151427130698672
0.7215.8991925176040.154939224961124
0.7315.92978532453770.159076522057148
0.7415.96209122103050.164656348558125
0.7515.99666542952260.172672294532143
0.7616.03429666087460.18434476167656
0.7716.07603388247640.20095627501239
0.7816.12319312176040.223693854872649
0.7916.17733263489640.253509742785865
0.816.24018278776960.290827456476808
0.8116.31351665912820.335402002066413
0.8216.39895060999480.386026856547293
0.8316.49767330582490.440265566114155
0.8416.61011896784860.494344312359004
0.8516.73562596160420.543071631345738
0.8616.8721511694240.580285484279243
0.8717.01613460621190.599605367098968
0.8817.16261372460620.595632322470028
0.8917.30565907131450.565394087011651
0.917.43913605126150.509613817609992
0.9117.55770047582940.433328891620361
0.9217.6578359502860.345450586134748
0.9317.73867839186150.257229970864411
0.9417.8023768830930.179950272258903
0.9517.85379803425960.122946018881305
0.9617.89941918660550.0923152831558844
0.9717.94521110093370.0874390556222324
0.9817.99339941928450.0986798011764175
0.9918.03902925617740.115179077060865

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.2229160902282 & 0.274136737860187 \tabularnewline
0.02 & 13.3338686272388 & 0.242962052858024 \tabularnewline
0.03 & 13.4612882158195 & 0.265786933328715 \tabularnewline
0.04 & 13.5983611631121 & 0.342772188254038 \tabularnewline
0.05 & 13.7474837050403 & 0.438637810041615 \tabularnewline
0.06 & 13.9105575822265 & 0.521148925092492 \tabularnewline
0.07 & 14.0843621868467 & 0.570263626718527 \tabularnewline
0.08 & 14.2611428973126 & 0.578451145651106 \tabularnewline
0.09 & 14.4314926553854 & 0.54890792046729 \tabularnewline
0.1 & 14.5871522951262 & 0.491783989713582 \tabularnewline
0.11 & 14.7226752128756 & 0.41982389762573 \tabularnewline
0.12 & 14.8358538126105 & 0.344840087595287 \tabularnewline
0.13 & 14.9272585304833 & 0.275583476949944 \tabularnewline
0.14 & 14.9993472684094 & 0.217212961225173 \tabularnewline
0.15 & 15.0555235412134 & 0.171639711525927 \tabularnewline
0.16 & 15.0993727922503 & 0.138466477240396 \tabularnewline
0.17 & 15.1341630825865 & 0.11592397427942 \tabularnewline
0.18 & 15.1625959314453 & 0.101665622830287 \tabularnewline
0.19 & 15.1867430101856 & 0.0932857409566408 \tabularnewline
0.2 & 15.2080942453785 & 0.0887831968625938 \tabularnewline
0.21 & 15.2276559330133 & 0.0865715196929179 \tabularnewline
0.22 & 15.2460586996479 & 0.0855006214237703 \tabularnewline
0.23 & 15.263654830919 & 0.0847105452449051 \tabularnewline
0.24 & 15.2805982942207 & 0.083612599363 \tabularnewline
0.25 & 15.2969082375909 & 0.0818215677167124 \tabularnewline
0.26 & 15.3125193638045 & 0.0791016048217793 \tabularnewline
0.27 & 15.3273223994345 & 0.0754130708886892 \tabularnewline
0.28 & 15.3411966343303 & 0.0708073081775972 \tabularnewline
0.29 & 15.3540353019715 & 0.0654845666337288 \tabularnewline
0.3 & 15.3657639001521 & 0.0596937363167763 \tabularnewline
0.31 & 15.3763514705473 & 0.0537193926856069 \tabularnewline
0.32 & 15.3858151844724 & 0.047870245384403 \tabularnewline
0.33 & 15.3942190695655 & 0.0424030827528193 \tabularnewline
0.34 & 15.4016681431939 & 0.037596438441063 \tabularnewline
0.35 & 15.4082994627613 & 0.0336064845876987 \tabularnewline
0.36 & 15.4142716207388 & 0.0305837453388735 \tabularnewline
0.37 & 15.4197540331134 & 0.0285865989702169 \tabularnewline
0.38 & 15.4249170635744 & 0.0276235500811095 \tabularnewline
0.39 & 15.4299236717521 & 0.0276300357013903 \tabularnewline
0.4 & 15.4349229400513 & 0.0284828661242754 \tabularnewline
0.41 & 15.4400455644182 & 0.0300265007523172 \tabularnewline
0.42 & 15.4454012082334 & 0.0320980060719036 \tabularnewline
0.43 & 15.4510775125679 & 0.0345470187335358 \tabularnewline
0.44 & 15.4571405140698 & 0.0372686914375586 \tabularnewline
0.45 & 15.4636362224232 & 0.0401396631924333 \tabularnewline
0.46 & 15.4705931323596 & 0.0430681820228806 \tabularnewline
0.47 & 15.4780254745626 & 0.0459833866764007 \tabularnewline
0.48 & 15.4859370341102 & 0.0488169030708905 \tabularnewline
0.49 & 15.4943253766551 & 0.0515838665379034 \tabularnewline
0.5 & 15.5031863163086 & 0.0542680435993048 \tabularnewline
0.51 & 15.5125184329649 & 0.0568903891477367 \tabularnewline
0.52 & 15.5223274025931 & 0.0595122533413835 \tabularnewline
0.53 & 15.5326298500841 & 0.0622257965649461 \tabularnewline
0.54 & 15.5434563859123 & 0.0651099217121661 \tabularnewline
0.55 & 15.5548534661952 & 0.068292219978532 \tabularnewline
0.56 & 15.5668837427563 & 0.0718649202199008 \tabularnewline
0.57 & 15.5796246617216 & 0.075916851859186 \tabularnewline
0.58 & 15.5931652291343 & 0.080521801446887 \tabularnewline
0.59 & 15.6076010756596 & 0.08568242929201 \tabularnewline
0.6 & 15.6230281884258 & 0.0913818290943329 \tabularnewline
0.61 & 15.6395358952934 & 0.0975323326282069 \tabularnewline
0.62 & 15.6571998461314 & 0.103991923544455 \tabularnewline
0.63 & 15.6760758126656 & 0.110603836130437 \tabularnewline
0.64 & 15.696195122941 & 0.117194431416549 \tabularnewline
0.65 & 15.7175624834426 & 0.123570622297357 \tabularnewline
0.66 & 15.7401568627712 & 0.129569354940402 \tabularnewline
0.67 & 15.7639360557724 & 0.135053567905941 \tabularnewline
0.68 & 15.7888455351806 & 0.139954163418889 \tabularnewline
0.69 & 15.8148322111989 & 0.144226059927413 \tabularnewline
0.7 & 15.841863698732 & 0.147983329158793 \tabularnewline
0.71 & 15.8699535469608 & 0.151427130698672 \tabularnewline
0.72 & 15.899192517604 & 0.154939224961124 \tabularnewline
0.73 & 15.9297853245377 & 0.159076522057148 \tabularnewline
0.74 & 15.9620912210305 & 0.164656348558125 \tabularnewline
0.75 & 15.9966654295226 & 0.172672294532143 \tabularnewline
0.76 & 16.0342966608746 & 0.18434476167656 \tabularnewline
0.77 & 16.0760338824764 & 0.20095627501239 \tabularnewline
0.78 & 16.1231931217604 & 0.223693854872649 \tabularnewline
0.79 & 16.1773326348964 & 0.253509742785865 \tabularnewline
0.8 & 16.2401827877696 & 0.290827456476808 \tabularnewline
0.81 & 16.3135166591282 & 0.335402002066413 \tabularnewline
0.82 & 16.3989506099948 & 0.386026856547293 \tabularnewline
0.83 & 16.4976733058249 & 0.440265566114155 \tabularnewline
0.84 & 16.6101189678486 & 0.494344312359004 \tabularnewline
0.85 & 16.7356259616042 & 0.543071631345738 \tabularnewline
0.86 & 16.872151169424 & 0.580285484279243 \tabularnewline
0.87 & 17.0161346062119 & 0.599605367098968 \tabularnewline
0.88 & 17.1626137246062 & 0.595632322470028 \tabularnewline
0.89 & 17.3056590713145 & 0.565394087011651 \tabularnewline
0.9 & 17.4391360512615 & 0.509613817609992 \tabularnewline
0.91 & 17.5577004758294 & 0.433328891620361 \tabularnewline
0.92 & 17.657835950286 & 0.345450586134748 \tabularnewline
0.93 & 17.7386783918615 & 0.257229970864411 \tabularnewline
0.94 & 17.802376883093 & 0.179950272258903 \tabularnewline
0.95 & 17.8537980342596 & 0.122946018881305 \tabularnewline
0.96 & 17.8994191866055 & 0.0923152831558844 \tabularnewline
0.97 & 17.9452111009337 & 0.0874390556222324 \tabularnewline
0.98 & 17.9933994192845 & 0.0986798011764175 \tabularnewline
0.99 & 18.0390292561774 & 0.115179077060865 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163184&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]13.2229160902282[/C][C]0.274136737860187[/C][/ROW]
[ROW][C]0.02[/C][C]13.3338686272388[/C][C]0.242962052858024[/C][/ROW]
[ROW][C]0.03[/C][C]13.4612882158195[/C][C]0.265786933328715[/C][/ROW]
[ROW][C]0.04[/C][C]13.5983611631121[/C][C]0.342772188254038[/C][/ROW]
[ROW][C]0.05[/C][C]13.7474837050403[/C][C]0.438637810041615[/C][/ROW]
[ROW][C]0.06[/C][C]13.9105575822265[/C][C]0.521148925092492[/C][/ROW]
[ROW][C]0.07[/C][C]14.0843621868467[/C][C]0.570263626718527[/C][/ROW]
[ROW][C]0.08[/C][C]14.2611428973126[/C][C]0.578451145651106[/C][/ROW]
[ROW][C]0.09[/C][C]14.4314926553854[/C][C]0.54890792046729[/C][/ROW]
[ROW][C]0.1[/C][C]14.5871522951262[/C][C]0.491783989713582[/C][/ROW]
[ROW][C]0.11[/C][C]14.7226752128756[/C][C]0.41982389762573[/C][/ROW]
[ROW][C]0.12[/C][C]14.8358538126105[/C][C]0.344840087595287[/C][/ROW]
[ROW][C]0.13[/C][C]14.9272585304833[/C][C]0.275583476949944[/C][/ROW]
[ROW][C]0.14[/C][C]14.9993472684094[/C][C]0.217212961225173[/C][/ROW]
[ROW][C]0.15[/C][C]15.0555235412134[/C][C]0.171639711525927[/C][/ROW]
[ROW][C]0.16[/C][C]15.0993727922503[/C][C]0.138466477240396[/C][/ROW]
[ROW][C]0.17[/C][C]15.1341630825865[/C][C]0.11592397427942[/C][/ROW]
[ROW][C]0.18[/C][C]15.1625959314453[/C][C]0.101665622830287[/C][/ROW]
[ROW][C]0.19[/C][C]15.1867430101856[/C][C]0.0932857409566408[/C][/ROW]
[ROW][C]0.2[/C][C]15.2080942453785[/C][C]0.0887831968625938[/C][/ROW]
[ROW][C]0.21[/C][C]15.2276559330133[/C][C]0.0865715196929179[/C][/ROW]
[ROW][C]0.22[/C][C]15.2460586996479[/C][C]0.0855006214237703[/C][/ROW]
[ROW][C]0.23[/C][C]15.263654830919[/C][C]0.0847105452449051[/C][/ROW]
[ROW][C]0.24[/C][C]15.2805982942207[/C][C]0.083612599363[/C][/ROW]
[ROW][C]0.25[/C][C]15.2969082375909[/C][C]0.0818215677167124[/C][/ROW]
[ROW][C]0.26[/C][C]15.3125193638045[/C][C]0.0791016048217793[/C][/ROW]
[ROW][C]0.27[/C][C]15.3273223994345[/C][C]0.0754130708886892[/C][/ROW]
[ROW][C]0.28[/C][C]15.3411966343303[/C][C]0.0708073081775972[/C][/ROW]
[ROW][C]0.29[/C][C]15.3540353019715[/C][C]0.0654845666337288[/C][/ROW]
[ROW][C]0.3[/C][C]15.3657639001521[/C][C]0.0596937363167763[/C][/ROW]
[ROW][C]0.31[/C][C]15.3763514705473[/C][C]0.0537193926856069[/C][/ROW]
[ROW][C]0.32[/C][C]15.3858151844724[/C][C]0.047870245384403[/C][/ROW]
[ROW][C]0.33[/C][C]15.3942190695655[/C][C]0.0424030827528193[/C][/ROW]
[ROW][C]0.34[/C][C]15.4016681431939[/C][C]0.037596438441063[/C][/ROW]
[ROW][C]0.35[/C][C]15.4082994627613[/C][C]0.0336064845876987[/C][/ROW]
[ROW][C]0.36[/C][C]15.4142716207388[/C][C]0.0305837453388735[/C][/ROW]
[ROW][C]0.37[/C][C]15.4197540331134[/C][C]0.0285865989702169[/C][/ROW]
[ROW][C]0.38[/C][C]15.4249170635744[/C][C]0.0276235500811095[/C][/ROW]
[ROW][C]0.39[/C][C]15.4299236717521[/C][C]0.0276300357013903[/C][/ROW]
[ROW][C]0.4[/C][C]15.4349229400513[/C][C]0.0284828661242754[/C][/ROW]
[ROW][C]0.41[/C][C]15.4400455644182[/C][C]0.0300265007523172[/C][/ROW]
[ROW][C]0.42[/C][C]15.4454012082334[/C][C]0.0320980060719036[/C][/ROW]
[ROW][C]0.43[/C][C]15.4510775125679[/C][C]0.0345470187335358[/C][/ROW]
[ROW][C]0.44[/C][C]15.4571405140698[/C][C]0.0372686914375586[/C][/ROW]
[ROW][C]0.45[/C][C]15.4636362224232[/C][C]0.0401396631924333[/C][/ROW]
[ROW][C]0.46[/C][C]15.4705931323596[/C][C]0.0430681820228806[/C][/ROW]
[ROW][C]0.47[/C][C]15.4780254745626[/C][C]0.0459833866764007[/C][/ROW]
[ROW][C]0.48[/C][C]15.4859370341102[/C][C]0.0488169030708905[/C][/ROW]
[ROW][C]0.49[/C][C]15.4943253766551[/C][C]0.0515838665379034[/C][/ROW]
[ROW][C]0.5[/C][C]15.5031863163086[/C][C]0.0542680435993048[/C][/ROW]
[ROW][C]0.51[/C][C]15.5125184329649[/C][C]0.0568903891477367[/C][/ROW]
[ROW][C]0.52[/C][C]15.5223274025931[/C][C]0.0595122533413835[/C][/ROW]
[ROW][C]0.53[/C][C]15.5326298500841[/C][C]0.0622257965649461[/C][/ROW]
[ROW][C]0.54[/C][C]15.5434563859123[/C][C]0.0651099217121661[/C][/ROW]
[ROW][C]0.55[/C][C]15.5548534661952[/C][C]0.068292219978532[/C][/ROW]
[ROW][C]0.56[/C][C]15.5668837427563[/C][C]0.0718649202199008[/C][/ROW]
[ROW][C]0.57[/C][C]15.5796246617216[/C][C]0.075916851859186[/C][/ROW]
[ROW][C]0.58[/C][C]15.5931652291343[/C][C]0.080521801446887[/C][/ROW]
[ROW][C]0.59[/C][C]15.6076010756596[/C][C]0.08568242929201[/C][/ROW]
[ROW][C]0.6[/C][C]15.6230281884258[/C][C]0.0913818290943329[/C][/ROW]
[ROW][C]0.61[/C][C]15.6395358952934[/C][C]0.0975323326282069[/C][/ROW]
[ROW][C]0.62[/C][C]15.6571998461314[/C][C]0.103991923544455[/C][/ROW]
[ROW][C]0.63[/C][C]15.6760758126656[/C][C]0.110603836130437[/C][/ROW]
[ROW][C]0.64[/C][C]15.696195122941[/C][C]0.117194431416549[/C][/ROW]
[ROW][C]0.65[/C][C]15.7175624834426[/C][C]0.123570622297357[/C][/ROW]
[ROW][C]0.66[/C][C]15.7401568627712[/C][C]0.129569354940402[/C][/ROW]
[ROW][C]0.67[/C][C]15.7639360557724[/C][C]0.135053567905941[/C][/ROW]
[ROW][C]0.68[/C][C]15.7888455351806[/C][C]0.139954163418889[/C][/ROW]
[ROW][C]0.69[/C][C]15.8148322111989[/C][C]0.144226059927413[/C][/ROW]
[ROW][C]0.7[/C][C]15.841863698732[/C][C]0.147983329158793[/C][/ROW]
[ROW][C]0.71[/C][C]15.8699535469608[/C][C]0.151427130698672[/C][/ROW]
[ROW][C]0.72[/C][C]15.899192517604[/C][C]0.154939224961124[/C][/ROW]
[ROW][C]0.73[/C][C]15.9297853245377[/C][C]0.159076522057148[/C][/ROW]
[ROW][C]0.74[/C][C]15.9620912210305[/C][C]0.164656348558125[/C][/ROW]
[ROW][C]0.75[/C][C]15.9966654295226[/C][C]0.172672294532143[/C][/ROW]
[ROW][C]0.76[/C][C]16.0342966608746[/C][C]0.18434476167656[/C][/ROW]
[ROW][C]0.77[/C][C]16.0760338824764[/C][C]0.20095627501239[/C][/ROW]
[ROW][C]0.78[/C][C]16.1231931217604[/C][C]0.223693854872649[/C][/ROW]
[ROW][C]0.79[/C][C]16.1773326348964[/C][C]0.253509742785865[/C][/ROW]
[ROW][C]0.8[/C][C]16.2401827877696[/C][C]0.290827456476808[/C][/ROW]
[ROW][C]0.81[/C][C]16.3135166591282[/C][C]0.335402002066413[/C][/ROW]
[ROW][C]0.82[/C][C]16.3989506099948[/C][C]0.386026856547293[/C][/ROW]
[ROW][C]0.83[/C][C]16.4976733058249[/C][C]0.440265566114155[/C][/ROW]
[ROW][C]0.84[/C][C]16.6101189678486[/C][C]0.494344312359004[/C][/ROW]
[ROW][C]0.85[/C][C]16.7356259616042[/C][C]0.543071631345738[/C][/ROW]
[ROW][C]0.86[/C][C]16.872151169424[/C][C]0.580285484279243[/C][/ROW]
[ROW][C]0.87[/C][C]17.0161346062119[/C][C]0.599605367098968[/C][/ROW]
[ROW][C]0.88[/C][C]17.1626137246062[/C][C]0.595632322470028[/C][/ROW]
[ROW][C]0.89[/C][C]17.3056590713145[/C][C]0.565394087011651[/C][/ROW]
[ROW][C]0.9[/C][C]17.4391360512615[/C][C]0.509613817609992[/C][/ROW]
[ROW][C]0.91[/C][C]17.5577004758294[/C][C]0.433328891620361[/C][/ROW]
[ROW][C]0.92[/C][C]17.657835950286[/C][C]0.345450586134748[/C][/ROW]
[ROW][C]0.93[/C][C]17.7386783918615[/C][C]0.257229970864411[/C][/ROW]
[ROW][C]0.94[/C][C]17.802376883093[/C][C]0.179950272258903[/C][/ROW]
[ROW][C]0.95[/C][C]17.8537980342596[/C][C]0.122946018881305[/C][/ROW]
[ROW][C]0.96[/C][C]17.8994191866055[/C][C]0.0923152831558844[/C][/ROW]
[ROW][C]0.97[/C][C]17.9452111009337[/C][C]0.0874390556222324[/C][/ROW]
[ROW][C]0.98[/C][C]17.9933994192845[/C][C]0.0986798011764175[/C][/ROW]
[ROW][C]0.99[/C][C]18.0390292561774[/C][C]0.115179077060865[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163184&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
0.0113.22291609022820.274136737860187
0.0213.33386862723880.242962052858024
0.0313.46128821581950.265786933328715
0.0413.59836116311210.342772188254038
0.0513.74748370504030.438637810041615
0.0613.91055758222650.521148925092492
0.0714.08436218684670.570263626718527
0.0814.26114289731260.578451145651106
0.0914.43149265538540.54890792046729
0.114.58715229512620.491783989713582
0.1114.72267521287560.41982389762573
0.1214.83585381261050.344840087595287
0.1314.92725853048330.275583476949944
0.1414.99934726840940.217212961225173
0.1515.05552354121340.171639711525927
0.1615.09937279225030.138466477240396
0.1715.13416308258650.11592397427942
0.1815.16259593144530.101665622830287
0.1915.18674301018560.0932857409566408
0.215.20809424537850.0887831968625938
0.2115.22765593301330.0865715196929179
0.2215.24605869964790.0855006214237703
0.2315.2636548309190.0847105452449051
0.2415.28059829422070.083612599363
0.2515.29690823759090.0818215677167124
0.2615.31251936380450.0791016048217793
0.2715.32732239943450.0754130708886892
0.2815.34119663433030.0708073081775972
0.2915.35403530197150.0654845666337288
0.315.36576390015210.0596937363167763
0.3115.37635147054730.0537193926856069
0.3215.38581518447240.047870245384403
0.3315.39421906956550.0424030827528193
0.3415.40166814319390.037596438441063
0.3515.40829946276130.0336064845876987
0.3615.41427162073880.0305837453388735
0.3715.41975403311340.0285865989702169
0.3815.42491706357440.0276235500811095
0.3915.42992367175210.0276300357013903
0.415.43492294005130.0284828661242754
0.4115.44004556441820.0300265007523172
0.4215.44540120823340.0320980060719036
0.4315.45107751256790.0345470187335358
0.4415.45714051406980.0372686914375586
0.4515.46363622242320.0401396631924333
0.4615.47059313235960.0430681820228806
0.4715.47802547456260.0459833866764007
0.4815.48593703411020.0488169030708905
0.4915.49432537665510.0515838665379034
0.515.50318631630860.0542680435993048
0.5115.51251843296490.0568903891477367
0.5215.52232740259310.0595122533413835
0.5315.53262985008410.0622257965649461
0.5415.54345638591230.0651099217121661
0.5515.55485346619520.068292219978532
0.5615.56688374275630.0718649202199008
0.5715.57962466172160.075916851859186
0.5815.59316522913430.080521801446887
0.5915.60760107565960.08568242929201
0.615.62302818842580.0913818290943329
0.6115.63953589529340.0975323326282069
0.6215.65719984613140.103991923544455
0.6315.67607581266560.110603836130437
0.6415.6961951229410.117194431416549
0.6515.71756248344260.123570622297357
0.6615.74015686277120.129569354940402
0.6715.76393605577240.135053567905941
0.6815.78884553518060.139954163418889
0.6915.81483221119890.144226059927413
0.715.8418636987320.147983329158793
0.7115.86995354696080.151427130698672
0.7215.8991925176040.154939224961124
0.7315.92978532453770.159076522057148
0.7415.96209122103050.164656348558125
0.7515.99666542952260.172672294532143
0.7616.03429666087460.18434476167656
0.7716.07603388247640.20095627501239
0.7816.12319312176040.223693854872649
0.7916.17733263489640.253509742785865
0.816.24018278776960.290827456476808
0.8116.31351665912820.335402002066413
0.8216.39895060999480.386026856547293
0.8316.49767330582490.440265566114155
0.8416.61011896784860.494344312359004
0.8516.73562596160420.543071631345738
0.8616.8721511694240.580285484279243
0.8717.01613460621190.599605367098968
0.8817.16261372460620.595632322470028
0.8917.30565907131450.565394087011651
0.917.43913605126150.509613817609992
0.9117.55770047582940.433328891620361
0.9217.6578359502860.345450586134748
0.9317.73867839186150.257229970864411
0.9417.8023768830930.179950272258903
0.9517.85379803425960.122946018881305
0.9617.89941918660550.0923152831558844
0.9717.94521110093370.0874390556222324
0.9817.99339941928450.0986798011764175
0.9918.03902925617740.115179077060865


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')