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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 computationSat, 17 Oct 2009 06:50:35 -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/2009/Oct/17/t1255783884lhw28a0i0xz79qk.htm/, Retrieved Mon, 06 May 2024 03:43:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47153, Retrieved Mon, 06 May 2024 03:43:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-    D      [Univariate Data Series] [Workshop 3 Part 2...] [2009-10-16 16:14:28] [f924a0adda9c1905a1ba8f1c751261ff]
- RMP           [Harrell-Davis Quantiles] [Part 2: Y[t] Harr...] [2009-10-17 12:50:35] [ac86848d66148c9c4c9404e0c9a511eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.8
83.4
113.6
112.9
104
109.9
99
106.3
128.9
111.1
102.9
130
87
87.5
117.6
103.4
110.8
112.6
102.5
112.4
135.6
105.1
127.7
137
91
90.5
122.4
123.3
124.3
120
118.1
119
142.7
123.6
129.6
151.6
110.4
99.2
130.5
136.2
129.7
128
121.6
135.8
143.8
147.5
136.2
156.6
123.3
104.5
139.8
136.5
112.1
118.5
94.4
102.3
111.4
99.2
87.8
115.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47153&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47153&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 time6 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.74248960165163.40540674611582
0.0282.17977093358053.2064609035598
0.0383.72827046882862.94947250871642
0.0485.15122579944242.67960680307245
0.0586.385019596432.52263439374720
0.0687.468734070552.58357742182996
0.0788.47522070619362.85641471949284
0.0889.47036394933433.25274138445495
0.0990.4961389801953.67420442212255
0.191.56811198314024.04379030678841
0.1192.68027847755214.31050250010914
0.1293.81267074463224.44780819497011
0.1394.93901508077164.45220738029174
0.1496.0330198656934.33886937913371
0.1597.07273514448764.1358869107416
0.1698.04295028701633.87724122457887
0.1798.9359051602073.59640243469357
0.1899.75075710784983.32230392356797
0.19100.4922974423823.07681366084146
0.2101.1693609332942.87490644428037
0.21101.7932503753192.72558510663765
0.22102.3763534469572.63320781314155
0.23102.9310072574182.5974741813479
0.24103.4685944830412.61347065095423
0.25103.9988357652122.67181345377485
0.26104.5292589989972.75895494202504
0.27105.064853244852.85951781380555
0.28105.6079331611872.95749195981535
0.29106.1582388408363.03834443098989
0.3106.7132758539823.09037917233900
0.31107.2688685715823.10616545034782
0.32107.8198668573533.08270848476215
0.33108.3609214805023.02208533595681
0.34108.8872332450662.93064510081703
0.35109.3951866637632.81826799525407
0.36109.8827988765532.69714889488742
0.37110.3499435530722.58038760958369
0.38110.798341727522.48049077942363
0.39111.2313412903272.40816887661126
0.4111.6535300717542.37078078003870
0.41112.0702419172752.37150378282597
0.42112.4870205373662.40929942176586
0.43112.9091032267062.47921080106826
0.44113.340977519192.57322513467475
0.45113.7860504010142.68222980672685
0.46114.2464536837882.7965220727816
0.47114.7229922484632.90722539593546
0.48115.2152257534343.00670188702093
0.49115.7216606821223.08942846925762
0.5116.2400197935153.15207289341912
0.51116.7675512622713.19333026289016
0.52117.3013404743993.21401954726019
0.53117.8385930452543.21644627069259
0.54118.3768666420403.20398041491169
0.55118.9142394356103.18062804464826
0.56119.4494121682453.15070176037846
0.57119.9817471475573.11801520422413
0.58120.5112503131143.08658902385001
0.59121.0385025611583.05971050198143
0.6121.5645455562263.03987140310954
0.61122.0907275635003.02891297662035
0.62122.6185182002423.02762673972728
0.63123.1493078911943.03491637038117
0.64123.6842168275053.04847396900711
0.65124.2239462016723.06456167310248
0.66124.7687072381093.07872854740372
0.67125.3182571776353.08672862618585
0.68125.8720538692143.08564938672816
0.69126.4295131116633.07447409196206
0.7126.9903203233983.0553828961034
0.71127.5547188586903.03312678571423
0.72128.1236815078763.01429583490363
0.73128.6988787784163.00604189193172
0.74129.2823928309063.01314554691352
0.75129.8761878981543.03643300787982
0.76130.4814264570963.07045571378914
0.77131.097796917423.10399715835346
0.78131.723069554543.12247520552912
0.79132.3530997919293.11095497078359
0.8132.9824364314613.05830197366369
0.81133.6055664684512.96143028265684
0.82134.2186563907302.82740194700839
0.83134.8214705145002.67549059161732
0.84135.4190125689522.53533569763714
0.85136.0224040815472.44331153552079
0.86136.648627464852.43295930709234
0.87137.3190371320132.52268454033321
0.88138.0569389620242.70625060543336
0.89138.88494688682.95557668585501
0.9139.8230707640643.23259384951243
0.91140.8883881584663.50341223480853
0.92142.0966230300933.7487848091204
0.93143.4651154627943.96761930039992
0.94145.0156976777344.16764474379458
0.95146.7744982887134.34650705460575
0.96148.7620392160214.48026980612371
0.97150.9602608872194.54851757500314
0.98153.2422881882944.59681396165516
0.99155.2866551676694.72933682310058

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.7424896016516 & 3.40540674611582 \tabularnewline
0.02 & 82.1797709335805 & 3.2064609035598 \tabularnewline
0.03 & 83.7282704688286 & 2.94947250871642 \tabularnewline
0.04 & 85.1512257994424 & 2.67960680307245 \tabularnewline
0.05 & 86.38501959643 & 2.52263439374720 \tabularnewline
0.06 & 87.46873407055 & 2.58357742182996 \tabularnewline
0.07 & 88.4752207061936 & 2.85641471949284 \tabularnewline
0.08 & 89.4703639493343 & 3.25274138445495 \tabularnewline
0.09 & 90.496138980195 & 3.67420442212255 \tabularnewline
0.1 & 91.5681119831402 & 4.04379030678841 \tabularnewline
0.11 & 92.6802784775521 & 4.31050250010914 \tabularnewline
0.12 & 93.8126707446322 & 4.44780819497011 \tabularnewline
0.13 & 94.9390150807716 & 4.45220738029174 \tabularnewline
0.14 & 96.033019865693 & 4.33886937913371 \tabularnewline
0.15 & 97.0727351444876 & 4.1358869107416 \tabularnewline
0.16 & 98.0429502870163 & 3.87724122457887 \tabularnewline
0.17 & 98.935905160207 & 3.59640243469357 \tabularnewline
0.18 & 99.7507571078498 & 3.32230392356797 \tabularnewline
0.19 & 100.492297442382 & 3.07681366084146 \tabularnewline
0.2 & 101.169360933294 & 2.87490644428037 \tabularnewline
0.21 & 101.793250375319 & 2.72558510663765 \tabularnewline
0.22 & 102.376353446957 & 2.63320781314155 \tabularnewline
0.23 & 102.931007257418 & 2.5974741813479 \tabularnewline
0.24 & 103.468594483041 & 2.61347065095423 \tabularnewline
0.25 & 103.998835765212 & 2.67181345377485 \tabularnewline
0.26 & 104.529258998997 & 2.75895494202504 \tabularnewline
0.27 & 105.06485324485 & 2.85951781380555 \tabularnewline
0.28 & 105.607933161187 & 2.95749195981535 \tabularnewline
0.29 & 106.158238840836 & 3.03834443098989 \tabularnewline
0.3 & 106.713275853982 & 3.09037917233900 \tabularnewline
0.31 & 107.268868571582 & 3.10616545034782 \tabularnewline
0.32 & 107.819866857353 & 3.08270848476215 \tabularnewline
0.33 & 108.360921480502 & 3.02208533595681 \tabularnewline
0.34 & 108.887233245066 & 2.93064510081703 \tabularnewline
0.35 & 109.395186663763 & 2.81826799525407 \tabularnewline
0.36 & 109.882798876553 & 2.69714889488742 \tabularnewline
0.37 & 110.349943553072 & 2.58038760958369 \tabularnewline
0.38 & 110.79834172752 & 2.48049077942363 \tabularnewline
0.39 & 111.231341290327 & 2.40816887661126 \tabularnewline
0.4 & 111.653530071754 & 2.37078078003870 \tabularnewline
0.41 & 112.070241917275 & 2.37150378282597 \tabularnewline
0.42 & 112.487020537366 & 2.40929942176586 \tabularnewline
0.43 & 112.909103226706 & 2.47921080106826 \tabularnewline
0.44 & 113.34097751919 & 2.57322513467475 \tabularnewline
0.45 & 113.786050401014 & 2.68222980672685 \tabularnewline
0.46 & 114.246453683788 & 2.7965220727816 \tabularnewline
0.47 & 114.722992248463 & 2.90722539593546 \tabularnewline
0.48 & 115.215225753434 & 3.00670188702093 \tabularnewline
0.49 & 115.721660682122 & 3.08942846925762 \tabularnewline
0.5 & 116.240019793515 & 3.15207289341912 \tabularnewline
0.51 & 116.767551262271 & 3.19333026289016 \tabularnewline
0.52 & 117.301340474399 & 3.21401954726019 \tabularnewline
0.53 & 117.838593045254 & 3.21644627069259 \tabularnewline
0.54 & 118.376866642040 & 3.20398041491169 \tabularnewline
0.55 & 118.914239435610 & 3.18062804464826 \tabularnewline
0.56 & 119.449412168245 & 3.15070176037846 \tabularnewline
0.57 & 119.981747147557 & 3.11801520422413 \tabularnewline
0.58 & 120.511250313114 & 3.08658902385001 \tabularnewline
0.59 & 121.038502561158 & 3.05971050198143 \tabularnewline
0.6 & 121.564545556226 & 3.03987140310954 \tabularnewline
0.61 & 122.090727563500 & 3.02891297662035 \tabularnewline
0.62 & 122.618518200242 & 3.02762673972728 \tabularnewline
0.63 & 123.149307891194 & 3.03491637038117 \tabularnewline
0.64 & 123.684216827505 & 3.04847396900711 \tabularnewline
0.65 & 124.223946201672 & 3.06456167310248 \tabularnewline
0.66 & 124.768707238109 & 3.07872854740372 \tabularnewline
0.67 & 125.318257177635 & 3.08672862618585 \tabularnewline
0.68 & 125.872053869214 & 3.08564938672816 \tabularnewline
0.69 & 126.429513111663 & 3.07447409196206 \tabularnewline
0.7 & 126.990320323398 & 3.0553828961034 \tabularnewline
0.71 & 127.554718858690 & 3.03312678571423 \tabularnewline
0.72 & 128.123681507876 & 3.01429583490363 \tabularnewline
0.73 & 128.698878778416 & 3.00604189193172 \tabularnewline
0.74 & 129.282392830906 & 3.01314554691352 \tabularnewline
0.75 & 129.876187898154 & 3.03643300787982 \tabularnewline
0.76 & 130.481426457096 & 3.07045571378914 \tabularnewline
0.77 & 131.09779691742 & 3.10399715835346 \tabularnewline
0.78 & 131.72306955454 & 3.12247520552912 \tabularnewline
0.79 & 132.353099791929 & 3.11095497078359 \tabularnewline
0.8 & 132.982436431461 & 3.05830197366369 \tabularnewline
0.81 & 133.605566468451 & 2.96143028265684 \tabularnewline
0.82 & 134.218656390730 & 2.82740194700839 \tabularnewline
0.83 & 134.821470514500 & 2.67549059161732 \tabularnewline
0.84 & 135.419012568952 & 2.53533569763714 \tabularnewline
0.85 & 136.022404081547 & 2.44331153552079 \tabularnewline
0.86 & 136.64862746485 & 2.43295930709234 \tabularnewline
0.87 & 137.319037132013 & 2.52268454033321 \tabularnewline
0.88 & 138.056938962024 & 2.70625060543336 \tabularnewline
0.89 & 138.8849468868 & 2.95557668585501 \tabularnewline
0.9 & 139.823070764064 & 3.23259384951243 \tabularnewline
0.91 & 140.888388158466 & 3.50341223480853 \tabularnewline
0.92 & 142.096623030093 & 3.7487848091204 \tabularnewline
0.93 & 143.465115462794 & 3.96761930039992 \tabularnewline
0.94 & 145.015697677734 & 4.16764474379458 \tabularnewline
0.95 & 146.774498288713 & 4.34650705460575 \tabularnewline
0.96 & 148.762039216021 & 4.48026980612371 \tabularnewline
0.97 & 150.960260887219 & 4.54851757500314 \tabularnewline
0.98 & 153.242288188294 & 4.59681396165516 \tabularnewline
0.99 & 155.286655167669 & 4.72933682310058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47153&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]80.7424896016516[/C][C]3.40540674611582[/C][/ROW]
[ROW][C]0.02[/C][C]82.1797709335805[/C][C]3.2064609035598[/C][/ROW]
[ROW][C]0.03[/C][C]83.7282704688286[/C][C]2.94947250871642[/C][/ROW]
[ROW][C]0.04[/C][C]85.1512257994424[/C][C]2.67960680307245[/C][/ROW]
[ROW][C]0.05[/C][C]86.38501959643[/C][C]2.52263439374720[/C][/ROW]
[ROW][C]0.06[/C][C]87.46873407055[/C][C]2.58357742182996[/C][/ROW]
[ROW][C]0.07[/C][C]88.4752207061936[/C][C]2.85641471949284[/C][/ROW]
[ROW][C]0.08[/C][C]89.4703639493343[/C][C]3.25274138445495[/C][/ROW]
[ROW][C]0.09[/C][C]90.496138980195[/C][C]3.67420442212255[/C][/ROW]
[ROW][C]0.1[/C][C]91.5681119831402[/C][C]4.04379030678841[/C][/ROW]
[ROW][C]0.11[/C][C]92.6802784775521[/C][C]4.31050250010914[/C][/ROW]
[ROW][C]0.12[/C][C]93.8126707446322[/C][C]4.44780819497011[/C][/ROW]
[ROW][C]0.13[/C][C]94.9390150807716[/C][C]4.45220738029174[/C][/ROW]
[ROW][C]0.14[/C][C]96.033019865693[/C][C]4.33886937913371[/C][/ROW]
[ROW][C]0.15[/C][C]97.0727351444876[/C][C]4.1358869107416[/C][/ROW]
[ROW][C]0.16[/C][C]98.0429502870163[/C][C]3.87724122457887[/C][/ROW]
[ROW][C]0.17[/C][C]98.935905160207[/C][C]3.59640243469357[/C][/ROW]
[ROW][C]0.18[/C][C]99.7507571078498[/C][C]3.32230392356797[/C][/ROW]
[ROW][C]0.19[/C][C]100.492297442382[/C][C]3.07681366084146[/C][/ROW]
[ROW][C]0.2[/C][C]101.169360933294[/C][C]2.87490644428037[/C][/ROW]
[ROW][C]0.21[/C][C]101.793250375319[/C][C]2.72558510663765[/C][/ROW]
[ROW][C]0.22[/C][C]102.376353446957[/C][C]2.63320781314155[/C][/ROW]
[ROW][C]0.23[/C][C]102.931007257418[/C][C]2.5974741813479[/C][/ROW]
[ROW][C]0.24[/C][C]103.468594483041[/C][C]2.61347065095423[/C][/ROW]
[ROW][C]0.25[/C][C]103.998835765212[/C][C]2.67181345377485[/C][/ROW]
[ROW][C]0.26[/C][C]104.529258998997[/C][C]2.75895494202504[/C][/ROW]
[ROW][C]0.27[/C][C]105.06485324485[/C][C]2.85951781380555[/C][/ROW]
[ROW][C]0.28[/C][C]105.607933161187[/C][C]2.95749195981535[/C][/ROW]
[ROW][C]0.29[/C][C]106.158238840836[/C][C]3.03834443098989[/C][/ROW]
[ROW][C]0.3[/C][C]106.713275853982[/C][C]3.09037917233900[/C][/ROW]
[ROW][C]0.31[/C][C]107.268868571582[/C][C]3.10616545034782[/C][/ROW]
[ROW][C]0.32[/C][C]107.819866857353[/C][C]3.08270848476215[/C][/ROW]
[ROW][C]0.33[/C][C]108.360921480502[/C][C]3.02208533595681[/C][/ROW]
[ROW][C]0.34[/C][C]108.887233245066[/C][C]2.93064510081703[/C][/ROW]
[ROW][C]0.35[/C][C]109.395186663763[/C][C]2.81826799525407[/C][/ROW]
[ROW][C]0.36[/C][C]109.882798876553[/C][C]2.69714889488742[/C][/ROW]
[ROW][C]0.37[/C][C]110.349943553072[/C][C]2.58038760958369[/C][/ROW]
[ROW][C]0.38[/C][C]110.79834172752[/C][C]2.48049077942363[/C][/ROW]
[ROW][C]0.39[/C][C]111.231341290327[/C][C]2.40816887661126[/C][/ROW]
[ROW][C]0.4[/C][C]111.653530071754[/C][C]2.37078078003870[/C][/ROW]
[ROW][C]0.41[/C][C]112.070241917275[/C][C]2.37150378282597[/C][/ROW]
[ROW][C]0.42[/C][C]112.487020537366[/C][C]2.40929942176586[/C][/ROW]
[ROW][C]0.43[/C][C]112.909103226706[/C][C]2.47921080106826[/C][/ROW]
[ROW][C]0.44[/C][C]113.34097751919[/C][C]2.57322513467475[/C][/ROW]
[ROW][C]0.45[/C][C]113.786050401014[/C][C]2.68222980672685[/C][/ROW]
[ROW][C]0.46[/C][C]114.246453683788[/C][C]2.7965220727816[/C][/ROW]
[ROW][C]0.47[/C][C]114.722992248463[/C][C]2.90722539593546[/C][/ROW]
[ROW][C]0.48[/C][C]115.215225753434[/C][C]3.00670188702093[/C][/ROW]
[ROW][C]0.49[/C][C]115.721660682122[/C][C]3.08942846925762[/C][/ROW]
[ROW][C]0.5[/C][C]116.240019793515[/C][C]3.15207289341912[/C][/ROW]
[ROW][C]0.51[/C][C]116.767551262271[/C][C]3.19333026289016[/C][/ROW]
[ROW][C]0.52[/C][C]117.301340474399[/C][C]3.21401954726019[/C][/ROW]
[ROW][C]0.53[/C][C]117.838593045254[/C][C]3.21644627069259[/C][/ROW]
[ROW][C]0.54[/C][C]118.376866642040[/C][C]3.20398041491169[/C][/ROW]
[ROW][C]0.55[/C][C]118.914239435610[/C][C]3.18062804464826[/C][/ROW]
[ROW][C]0.56[/C][C]119.449412168245[/C][C]3.15070176037846[/C][/ROW]
[ROW][C]0.57[/C][C]119.981747147557[/C][C]3.11801520422413[/C][/ROW]
[ROW][C]0.58[/C][C]120.511250313114[/C][C]3.08658902385001[/C][/ROW]
[ROW][C]0.59[/C][C]121.038502561158[/C][C]3.05971050198143[/C][/ROW]
[ROW][C]0.6[/C][C]121.564545556226[/C][C]3.03987140310954[/C][/ROW]
[ROW][C]0.61[/C][C]122.090727563500[/C][C]3.02891297662035[/C][/ROW]
[ROW][C]0.62[/C][C]122.618518200242[/C][C]3.02762673972728[/C][/ROW]
[ROW][C]0.63[/C][C]123.149307891194[/C][C]3.03491637038117[/C][/ROW]
[ROW][C]0.64[/C][C]123.684216827505[/C][C]3.04847396900711[/C][/ROW]
[ROW][C]0.65[/C][C]124.223946201672[/C][C]3.06456167310248[/C][/ROW]
[ROW][C]0.66[/C][C]124.768707238109[/C][C]3.07872854740372[/C][/ROW]
[ROW][C]0.67[/C][C]125.318257177635[/C][C]3.08672862618585[/C][/ROW]
[ROW][C]0.68[/C][C]125.872053869214[/C][C]3.08564938672816[/C][/ROW]
[ROW][C]0.69[/C][C]126.429513111663[/C][C]3.07447409196206[/C][/ROW]
[ROW][C]0.7[/C][C]126.990320323398[/C][C]3.0553828961034[/C][/ROW]
[ROW][C]0.71[/C][C]127.554718858690[/C][C]3.03312678571423[/C][/ROW]
[ROW][C]0.72[/C][C]128.123681507876[/C][C]3.01429583490363[/C][/ROW]
[ROW][C]0.73[/C][C]128.698878778416[/C][C]3.00604189193172[/C][/ROW]
[ROW][C]0.74[/C][C]129.282392830906[/C][C]3.01314554691352[/C][/ROW]
[ROW][C]0.75[/C][C]129.876187898154[/C][C]3.03643300787982[/C][/ROW]
[ROW][C]0.76[/C][C]130.481426457096[/C][C]3.07045571378914[/C][/ROW]
[ROW][C]0.77[/C][C]131.09779691742[/C][C]3.10399715835346[/C][/ROW]
[ROW][C]0.78[/C][C]131.72306955454[/C][C]3.12247520552912[/C][/ROW]
[ROW][C]0.79[/C][C]132.353099791929[/C][C]3.11095497078359[/C][/ROW]
[ROW][C]0.8[/C][C]132.982436431461[/C][C]3.05830197366369[/C][/ROW]
[ROW][C]0.81[/C][C]133.605566468451[/C][C]2.96143028265684[/C][/ROW]
[ROW][C]0.82[/C][C]134.218656390730[/C][C]2.82740194700839[/C][/ROW]
[ROW][C]0.83[/C][C]134.821470514500[/C][C]2.67549059161732[/C][/ROW]
[ROW][C]0.84[/C][C]135.419012568952[/C][C]2.53533569763714[/C][/ROW]
[ROW][C]0.85[/C][C]136.022404081547[/C][C]2.44331153552079[/C][/ROW]
[ROW][C]0.86[/C][C]136.64862746485[/C][C]2.43295930709234[/C][/ROW]
[ROW][C]0.87[/C][C]137.319037132013[/C][C]2.52268454033321[/C][/ROW]
[ROW][C]0.88[/C][C]138.056938962024[/C][C]2.70625060543336[/C][/ROW]
[ROW][C]0.89[/C][C]138.8849468868[/C][C]2.95557668585501[/C][/ROW]
[ROW][C]0.9[/C][C]139.823070764064[/C][C]3.23259384951243[/C][/ROW]
[ROW][C]0.91[/C][C]140.888388158466[/C][C]3.50341223480853[/C][/ROW]
[ROW][C]0.92[/C][C]142.096623030093[/C][C]3.7487848091204[/C][/ROW]
[ROW][C]0.93[/C][C]143.465115462794[/C][C]3.96761930039992[/C][/ROW]
[ROW][C]0.94[/C][C]145.015697677734[/C][C]4.16764474379458[/C][/ROW]
[ROW][C]0.95[/C][C]146.774498288713[/C][C]4.34650705460575[/C][/ROW]
[ROW][C]0.96[/C][C]148.762039216021[/C][C]4.48026980612371[/C][/ROW]
[ROW][C]0.97[/C][C]150.960260887219[/C][C]4.54851757500314[/C][/ROW]
[ROW][C]0.98[/C][C]153.242288188294[/C][C]4.59681396165516[/C][/ROW]
[ROW][C]0.99[/C][C]155.286655167669[/C][C]4.72933682310058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47153&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
0.0180.74248960165163.40540674611582
0.0282.17977093358053.2064609035598
0.0383.72827046882862.94947250871642
0.0485.15122579944242.67960680307245
0.0586.385019596432.52263439374720
0.0687.468734070552.58357742182996
0.0788.47522070619362.85641471949284
0.0889.47036394933433.25274138445495
0.0990.4961389801953.67420442212255
0.191.56811198314024.04379030678841
0.1192.68027847755214.31050250010914
0.1293.81267074463224.44780819497011
0.1394.93901508077164.45220738029174
0.1496.0330198656934.33886937913371
0.1597.07273514448764.1358869107416
0.1698.04295028701633.87724122457887
0.1798.9359051602073.59640243469357
0.1899.75075710784983.32230392356797
0.19100.4922974423823.07681366084146
0.2101.1693609332942.87490644428037
0.21101.7932503753192.72558510663765
0.22102.3763534469572.63320781314155
0.23102.9310072574182.5974741813479
0.24103.4685944830412.61347065095423
0.25103.9988357652122.67181345377485
0.26104.5292589989972.75895494202504
0.27105.064853244852.85951781380555
0.28105.6079331611872.95749195981535
0.29106.1582388408363.03834443098989
0.3106.7132758539823.09037917233900
0.31107.2688685715823.10616545034782
0.32107.8198668573533.08270848476215
0.33108.3609214805023.02208533595681
0.34108.8872332450662.93064510081703
0.35109.3951866637632.81826799525407
0.36109.8827988765532.69714889488742
0.37110.3499435530722.58038760958369
0.38110.798341727522.48049077942363
0.39111.2313412903272.40816887661126
0.4111.6535300717542.37078078003870
0.41112.0702419172752.37150378282597
0.42112.4870205373662.40929942176586
0.43112.9091032267062.47921080106826
0.44113.340977519192.57322513467475
0.45113.7860504010142.68222980672685
0.46114.2464536837882.7965220727816
0.47114.7229922484632.90722539593546
0.48115.2152257534343.00670188702093
0.49115.7216606821223.08942846925762
0.5116.2400197935153.15207289341912
0.51116.7675512622713.19333026289016
0.52117.3013404743993.21401954726019
0.53117.8385930452543.21644627069259
0.54118.3768666420403.20398041491169
0.55118.9142394356103.18062804464826
0.56119.4494121682453.15070176037846
0.57119.9817471475573.11801520422413
0.58120.5112503131143.08658902385001
0.59121.0385025611583.05971050198143
0.6121.5645455562263.03987140310954
0.61122.0907275635003.02891297662035
0.62122.6185182002423.02762673972728
0.63123.1493078911943.03491637038117
0.64123.6842168275053.04847396900711
0.65124.2239462016723.06456167310248
0.66124.7687072381093.07872854740372
0.67125.3182571776353.08672862618585
0.68125.8720538692143.08564938672816
0.69126.4295131116633.07447409196206
0.7126.9903203233983.0553828961034
0.71127.5547188586903.03312678571423
0.72128.1236815078763.01429583490363
0.73128.6988787784163.00604189193172
0.74129.2823928309063.01314554691352
0.75129.8761878981543.03643300787982
0.76130.4814264570963.07045571378914
0.77131.097796917423.10399715835346
0.78131.723069554543.12247520552912
0.79132.3530997919293.11095497078359
0.8132.9824364314613.05830197366369
0.81133.6055664684512.96143028265684
0.82134.2186563907302.82740194700839
0.83134.8214705145002.67549059161732
0.84135.4190125689522.53533569763714
0.85136.0224040815472.44331153552079
0.86136.648627464852.43295930709234
0.87137.3190371320132.52268454033321
0.88138.0569389620242.70625060543336
0.89138.88494688682.95557668585501
0.9139.8230707640643.23259384951243
0.91140.8883881584663.50341223480853
0.92142.0966230300933.7487848091204
0.93143.4651154627943.96761930039992
0.94145.0156976777344.16764474379458
0.95146.7744982887134.34650705460575
0.96148.7620392160214.48026980612371
0.97150.9602608872194.54851757500314
0.98153.2422881882944.59681396165516
0.99155.2866551676694.72933682310058


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')