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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 computationTue, 08 Mar 2016 21:15:10 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/08/t1457471751uhm0idnql1qcr3h.htm/, Retrieved Thu, 12 Feb 2026 05:49:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293773, Retrieved Thu, 12 Feb 2026 05:49:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact307

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] [harrold davis eig...] [2016-03-08 21:15:10] [ca27af53963d179bfb9e7ceb75b255dc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.66
91.08
91.12
91.02
90.58
90.92
91.79
91.97
92.53
92.44
92.7
93.12
94.23
94.18
93.89
94.08
95.59
96.55
97.01
96.87
97.96
97.94
98.57
98.67
98.58
99.04
98.89
98.63
98.52
98.07
98.15
98.4
99.22
99.35
100.05
99.86
100.31
100.7
100.78
99.78
99.55
99.46
99.66
99.43
99.68
100.21
100.31
100.13
100.27
100.23
99.93
100.66
100.55
100.43
101.22
101.07
101.43
101.35
101.58
101.59
102.03
102.48
102.63
103.54
103.97
104.34
104.29
104.17
104.55
104.58
104.74
104.73

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293773&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293773&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293773&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.191.90846363367690.710973407871909
0.1192.12636660791840.762953351935601
0.1292.35285682174980.813745457393896
0.1392.58701993007120.869813487771167
0.1492.82943787216930.934474907188384
0.1593.08160229482891.00836516868722
0.1693.34526683438891.0900855516831
0.1793.62191502425541.17760323565927
0.1893.9123773088371.267388301256
0.1994.21656069792481.3550668524291
0.294.53325813678361.43450639575798
0.2194.86004362666561.49903062571089
0.2295.19329060731211.54202177115683
0.2395.52835055738991.55834743478457
0.2495.85989660543141.54487386684954
0.2596.18239131155681.5019210486607
0.2696.49060110307471.43221992029454
0.2796.78006721290851.34077552400739
0.2897.04745701288591.23437070491293
0.2997.29075225675231.11981376255401
0.397.50926887912991.00380209298136
0.3197.70353471726170.892012514367732
0.3297.87506994224620.789110096165628
0.3398.02611908508240.697866931305322
0.3498.15937668484060.62033986252584
0.3598.27773606634080.557272448044342
0.3698.38407757281330.508378949975108
0.3798.48110209374420.472539511661794
0.3898.57120927965010.448251823944375
0.3998.65641708533920.433182779247876
0.498.7383189111830.424850468652311
0.4198.8180750576570.420899980713056
0.4298.89643524910780.419032404715649
0.4398.97378804645830.417302231040103
0.4499.05023116992740.414511295527231
0.4599.12565470551480.409722118457791
0.4699.1998276748870.40266327198315
0.4799.27247817848920.393630132978837
0.4899.34335858822020.382963659640946
0.4999.41228994003280.371365192949639
0.599.47918325448530.35957700082172
0.5199.54403928381370.348004897249401
0.5299.60693143132060.337246943935205
0.5399.66797876077360.327247146952284
0.5499.72731681953970.318233354216727
0.5599.78507342721060.309795343301905
0.5699.84135485295830.301689903188277
0.5799.89624529907120.293789980214458
0.5899.94981978277050.286002720532701
0.59100.0021678313340.278293270954488
0.6100.0534232980110.271027174060713
0.61100.1037943922050.264780221237613
0.62100.1535878758920.260155779834013
0.63100.2032223057750.257834095012216
0.64100.2532270016590.258446978032422
0.65100.3042257439230.262663973124799
0.66100.3569066254270.270681531154859
0.67100.4119816352080.282417853922053
0.68100.4701412214560.297284168429821
0.69100.5320102586360.314985710372323
0.7100.5981126498640.334522159070289
0.71100.6688523129620.355024723723909
0.72100.7445183602560.375751798889061
0.73100.8253213429610.396175003676129
0.74100.9114646396840.415906546893659
0.75101.0032495951310.435475716719341
0.76101.1012045649340.455818474849507
0.77101.2062173344810.478784680970776
0.78101.319639454440.506683007076157
0.79101.4433229178490.542163830934627
0.8101.5795477578970.586919709287026
0.81101.7308066869130.641502605339746
0.82101.8994319795850.7043552638005
0.83102.0870811932170.771499928563326
0.84102.2941407026790.836498794116675
0.85102.5191543961730.891025269446201
0.86102.75842795550.925814633152266
0.87103.0059775970230.932275365083047
0.88103.2539612019060.904568964132415
0.89103.4936299909620.841558665120815
0.9103.7166749449810.748046062795883

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 91.9084636336769 & 0.710973407871909 \tabularnewline
0.11 & 92.1263666079184 & 0.762953351935601 \tabularnewline
0.12 & 92.3528568217498 & 0.813745457393896 \tabularnewline
0.13 & 92.5870199300712 & 0.869813487771167 \tabularnewline
0.14 & 92.8294378721693 & 0.934474907188384 \tabularnewline
0.15 & 93.0816022948289 & 1.00836516868722 \tabularnewline
0.16 & 93.3452668343889 & 1.0900855516831 \tabularnewline
0.17 & 93.6219150242554 & 1.17760323565927 \tabularnewline
0.18 & 93.912377308837 & 1.267388301256 \tabularnewline
0.19 & 94.2165606979248 & 1.3550668524291 \tabularnewline
0.2 & 94.5332581367836 & 1.43450639575798 \tabularnewline
0.21 & 94.8600436266656 & 1.49903062571089 \tabularnewline
0.22 & 95.1932906073121 & 1.54202177115683 \tabularnewline
0.23 & 95.5283505573899 & 1.55834743478457 \tabularnewline
0.24 & 95.8598966054314 & 1.54487386684954 \tabularnewline
0.25 & 96.1823913115568 & 1.5019210486607 \tabularnewline
0.26 & 96.4906011030747 & 1.43221992029454 \tabularnewline
0.27 & 96.7800672129085 & 1.34077552400739 \tabularnewline
0.28 & 97.0474570128859 & 1.23437070491293 \tabularnewline
0.29 & 97.2907522567523 & 1.11981376255401 \tabularnewline
0.3 & 97.5092688791299 & 1.00380209298136 \tabularnewline
0.31 & 97.7035347172617 & 0.892012514367732 \tabularnewline
0.32 & 97.8750699422462 & 0.789110096165628 \tabularnewline
0.33 & 98.0261190850824 & 0.697866931305322 \tabularnewline
0.34 & 98.1593766848406 & 0.62033986252584 \tabularnewline
0.35 & 98.2777360663408 & 0.557272448044342 \tabularnewline
0.36 & 98.3840775728133 & 0.508378949975108 \tabularnewline
0.37 & 98.4811020937442 & 0.472539511661794 \tabularnewline
0.38 & 98.5712092796501 & 0.448251823944375 \tabularnewline
0.39 & 98.6564170853392 & 0.433182779247876 \tabularnewline
0.4 & 98.738318911183 & 0.424850468652311 \tabularnewline
0.41 & 98.818075057657 & 0.420899980713056 \tabularnewline
0.42 & 98.8964352491078 & 0.419032404715649 \tabularnewline
0.43 & 98.9737880464583 & 0.417302231040103 \tabularnewline
0.44 & 99.0502311699274 & 0.414511295527231 \tabularnewline
0.45 & 99.1256547055148 & 0.409722118457791 \tabularnewline
0.46 & 99.199827674887 & 0.40266327198315 \tabularnewline
0.47 & 99.2724781784892 & 0.393630132978837 \tabularnewline
0.48 & 99.3433585882202 & 0.382963659640946 \tabularnewline
0.49 & 99.4122899400328 & 0.371365192949639 \tabularnewline
0.5 & 99.4791832544853 & 0.35957700082172 \tabularnewline
0.51 & 99.5440392838137 & 0.348004897249401 \tabularnewline
0.52 & 99.6069314313206 & 0.337246943935205 \tabularnewline
0.53 & 99.6679787607736 & 0.327247146952284 \tabularnewline
0.54 & 99.7273168195397 & 0.318233354216727 \tabularnewline
0.55 & 99.7850734272106 & 0.309795343301905 \tabularnewline
0.56 & 99.8413548529583 & 0.301689903188277 \tabularnewline
0.57 & 99.8962452990712 & 0.293789980214458 \tabularnewline
0.58 & 99.9498197827705 & 0.286002720532701 \tabularnewline
0.59 & 100.002167831334 & 0.278293270954488 \tabularnewline
0.6 & 100.053423298011 & 0.271027174060713 \tabularnewline
0.61 & 100.103794392205 & 0.264780221237613 \tabularnewline
0.62 & 100.153587875892 & 0.260155779834013 \tabularnewline
0.63 & 100.203222305775 & 0.257834095012216 \tabularnewline
0.64 & 100.253227001659 & 0.258446978032422 \tabularnewline
0.65 & 100.304225743923 & 0.262663973124799 \tabularnewline
0.66 & 100.356906625427 & 0.270681531154859 \tabularnewline
0.67 & 100.411981635208 & 0.282417853922053 \tabularnewline
0.68 & 100.470141221456 & 0.297284168429821 \tabularnewline
0.69 & 100.532010258636 & 0.314985710372323 \tabularnewline
0.7 & 100.598112649864 & 0.334522159070289 \tabularnewline
0.71 & 100.668852312962 & 0.355024723723909 \tabularnewline
0.72 & 100.744518360256 & 0.375751798889061 \tabularnewline
0.73 & 100.825321342961 & 0.396175003676129 \tabularnewline
0.74 & 100.911464639684 & 0.415906546893659 \tabularnewline
0.75 & 101.003249595131 & 0.435475716719341 \tabularnewline
0.76 & 101.101204564934 & 0.455818474849507 \tabularnewline
0.77 & 101.206217334481 & 0.478784680970776 \tabularnewline
0.78 & 101.31963945444 & 0.506683007076157 \tabularnewline
0.79 & 101.443322917849 & 0.542163830934627 \tabularnewline
0.8 & 101.579547757897 & 0.586919709287026 \tabularnewline
0.81 & 101.730806686913 & 0.641502605339746 \tabularnewline
0.82 & 101.899431979585 & 0.7043552638005 \tabularnewline
0.83 & 102.087081193217 & 0.771499928563326 \tabularnewline
0.84 & 102.294140702679 & 0.836498794116675 \tabularnewline
0.85 & 102.519154396173 & 0.891025269446201 \tabularnewline
0.86 & 102.7584279555 & 0.925814633152266 \tabularnewline
0.87 & 103.005977597023 & 0.932275365083047 \tabularnewline
0.88 & 103.253961201906 & 0.904568964132415 \tabularnewline
0.89 & 103.493629990962 & 0.841558665120815 \tabularnewline
0.9 & 103.716674944981 & 0.748046062795883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293773&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]91.9084636336769[/C][C]0.710973407871909[/C][/ROW]
[ROW][C]0.11[/C][C]92.1263666079184[/C][C]0.762953351935601[/C][/ROW]
[ROW][C]0.12[/C][C]92.3528568217498[/C][C]0.813745457393896[/C][/ROW]
[ROW][C]0.13[/C][C]92.5870199300712[/C][C]0.869813487771167[/C][/ROW]
[ROW][C]0.14[/C][C]92.8294378721693[/C][C]0.934474907188384[/C][/ROW]
[ROW][C]0.15[/C][C]93.0816022948289[/C][C]1.00836516868722[/C][/ROW]
[ROW][C]0.16[/C][C]93.3452668343889[/C][C]1.0900855516831[/C][/ROW]
[ROW][C]0.17[/C][C]93.6219150242554[/C][C]1.17760323565927[/C][/ROW]
[ROW][C]0.18[/C][C]93.912377308837[/C][C]1.267388301256[/C][/ROW]
[ROW][C]0.19[/C][C]94.2165606979248[/C][C]1.3550668524291[/C][/ROW]
[ROW][C]0.2[/C][C]94.5332581367836[/C][C]1.43450639575798[/C][/ROW]
[ROW][C]0.21[/C][C]94.8600436266656[/C][C]1.49903062571089[/C][/ROW]
[ROW][C]0.22[/C][C]95.1932906073121[/C][C]1.54202177115683[/C][/ROW]
[ROW][C]0.23[/C][C]95.5283505573899[/C][C]1.55834743478457[/C][/ROW]
[ROW][C]0.24[/C][C]95.8598966054314[/C][C]1.54487386684954[/C][/ROW]
[ROW][C]0.25[/C][C]96.1823913115568[/C][C]1.5019210486607[/C][/ROW]
[ROW][C]0.26[/C][C]96.4906011030747[/C][C]1.43221992029454[/C][/ROW]
[ROW][C]0.27[/C][C]96.7800672129085[/C][C]1.34077552400739[/C][/ROW]
[ROW][C]0.28[/C][C]97.0474570128859[/C][C]1.23437070491293[/C][/ROW]
[ROW][C]0.29[/C][C]97.2907522567523[/C][C]1.11981376255401[/C][/ROW]
[ROW][C]0.3[/C][C]97.5092688791299[/C][C]1.00380209298136[/C][/ROW]
[ROW][C]0.31[/C][C]97.7035347172617[/C][C]0.892012514367732[/C][/ROW]
[ROW][C]0.32[/C][C]97.8750699422462[/C][C]0.789110096165628[/C][/ROW]
[ROW][C]0.33[/C][C]98.0261190850824[/C][C]0.697866931305322[/C][/ROW]
[ROW][C]0.34[/C][C]98.1593766848406[/C][C]0.62033986252584[/C][/ROW]
[ROW][C]0.35[/C][C]98.2777360663408[/C][C]0.557272448044342[/C][/ROW]
[ROW][C]0.36[/C][C]98.3840775728133[/C][C]0.508378949975108[/C][/ROW]
[ROW][C]0.37[/C][C]98.4811020937442[/C][C]0.472539511661794[/C][/ROW]
[ROW][C]0.38[/C][C]98.5712092796501[/C][C]0.448251823944375[/C][/ROW]
[ROW][C]0.39[/C][C]98.6564170853392[/C][C]0.433182779247876[/C][/ROW]
[ROW][C]0.4[/C][C]98.738318911183[/C][C]0.424850468652311[/C][/ROW]
[ROW][C]0.41[/C][C]98.818075057657[/C][C]0.420899980713056[/C][/ROW]
[ROW][C]0.42[/C][C]98.8964352491078[/C][C]0.419032404715649[/C][/ROW]
[ROW][C]0.43[/C][C]98.9737880464583[/C][C]0.417302231040103[/C][/ROW]
[ROW][C]0.44[/C][C]99.0502311699274[/C][C]0.414511295527231[/C][/ROW]
[ROW][C]0.45[/C][C]99.1256547055148[/C][C]0.409722118457791[/C][/ROW]
[ROW][C]0.46[/C][C]99.199827674887[/C][C]0.40266327198315[/C][/ROW]
[ROW][C]0.47[/C][C]99.2724781784892[/C][C]0.393630132978837[/C][/ROW]
[ROW][C]0.48[/C][C]99.3433585882202[/C][C]0.382963659640946[/C][/ROW]
[ROW][C]0.49[/C][C]99.4122899400328[/C][C]0.371365192949639[/C][/ROW]
[ROW][C]0.5[/C][C]99.4791832544853[/C][C]0.35957700082172[/C][/ROW]
[ROW][C]0.51[/C][C]99.5440392838137[/C][C]0.348004897249401[/C][/ROW]
[ROW][C]0.52[/C][C]99.6069314313206[/C][C]0.337246943935205[/C][/ROW]
[ROW][C]0.53[/C][C]99.6679787607736[/C][C]0.327247146952284[/C][/ROW]
[ROW][C]0.54[/C][C]99.7273168195397[/C][C]0.318233354216727[/C][/ROW]
[ROW][C]0.55[/C][C]99.7850734272106[/C][C]0.309795343301905[/C][/ROW]
[ROW][C]0.56[/C][C]99.8413548529583[/C][C]0.301689903188277[/C][/ROW]
[ROW][C]0.57[/C][C]99.8962452990712[/C][C]0.293789980214458[/C][/ROW]
[ROW][C]0.58[/C][C]99.9498197827705[/C][C]0.286002720532701[/C][/ROW]
[ROW][C]0.59[/C][C]100.002167831334[/C][C]0.278293270954488[/C][/ROW]
[ROW][C]0.6[/C][C]100.053423298011[/C][C]0.271027174060713[/C][/ROW]
[ROW][C]0.61[/C][C]100.103794392205[/C][C]0.264780221237613[/C][/ROW]
[ROW][C]0.62[/C][C]100.153587875892[/C][C]0.260155779834013[/C][/ROW]
[ROW][C]0.63[/C][C]100.203222305775[/C][C]0.257834095012216[/C][/ROW]
[ROW][C]0.64[/C][C]100.253227001659[/C][C]0.258446978032422[/C][/ROW]
[ROW][C]0.65[/C][C]100.304225743923[/C][C]0.262663973124799[/C][/ROW]
[ROW][C]0.66[/C][C]100.356906625427[/C][C]0.270681531154859[/C][/ROW]
[ROW][C]0.67[/C][C]100.411981635208[/C][C]0.282417853922053[/C][/ROW]
[ROW][C]0.68[/C][C]100.470141221456[/C][C]0.297284168429821[/C][/ROW]
[ROW][C]0.69[/C][C]100.532010258636[/C][C]0.314985710372323[/C][/ROW]
[ROW][C]0.7[/C][C]100.598112649864[/C][C]0.334522159070289[/C][/ROW]
[ROW][C]0.71[/C][C]100.668852312962[/C][C]0.355024723723909[/C][/ROW]
[ROW][C]0.72[/C][C]100.744518360256[/C][C]0.375751798889061[/C][/ROW]
[ROW][C]0.73[/C][C]100.825321342961[/C][C]0.396175003676129[/C][/ROW]
[ROW][C]0.74[/C][C]100.911464639684[/C][C]0.415906546893659[/C][/ROW]
[ROW][C]0.75[/C][C]101.003249595131[/C][C]0.435475716719341[/C][/ROW]
[ROW][C]0.76[/C][C]101.101204564934[/C][C]0.455818474849507[/C][/ROW]
[ROW][C]0.77[/C][C]101.206217334481[/C][C]0.478784680970776[/C][/ROW]
[ROW][C]0.78[/C][C]101.31963945444[/C][C]0.506683007076157[/C][/ROW]
[ROW][C]0.79[/C][C]101.443322917849[/C][C]0.542163830934627[/C][/ROW]
[ROW][C]0.8[/C][C]101.579547757897[/C][C]0.586919709287026[/C][/ROW]
[ROW][C]0.81[/C][C]101.730806686913[/C][C]0.641502605339746[/C][/ROW]
[ROW][C]0.82[/C][C]101.899431979585[/C][C]0.7043552638005[/C][/ROW]
[ROW][C]0.83[/C][C]102.087081193217[/C][C]0.771499928563326[/C][/ROW]
[ROW][C]0.84[/C][C]102.294140702679[/C][C]0.836498794116675[/C][/ROW]
[ROW][C]0.85[/C][C]102.519154396173[/C][C]0.891025269446201[/C][/ROW]
[ROW][C]0.86[/C][C]102.7584279555[/C][C]0.925814633152266[/C][/ROW]
[ROW][C]0.87[/C][C]103.005977597023[/C][C]0.932275365083047[/C][/ROW]
[ROW][C]0.88[/C][C]103.253961201906[/C][C]0.904568964132415[/C][/ROW]
[ROW][C]0.89[/C][C]103.493629990962[/C][C]0.841558665120815[/C][/ROW]
[ROW][C]0.9[/C][C]103.716674944981[/C][C]0.748046062795883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293773&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293773&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
0.191.90846363367690.710973407871909
0.1192.12636660791840.762953351935601
0.1292.35285682174980.813745457393896
0.1392.58701993007120.869813487771167
0.1492.82943787216930.934474907188384
0.1593.08160229482891.00836516868722
0.1693.34526683438891.0900855516831
0.1793.62191502425541.17760323565927
0.1893.9123773088371.267388301256
0.1994.21656069792481.3550668524291
0.294.53325813678361.43450639575798
0.2194.86004362666561.49903062571089
0.2295.19329060731211.54202177115683
0.2395.52835055738991.55834743478457
0.2495.85989660543141.54487386684954
0.2596.18239131155681.5019210486607
0.2696.49060110307471.43221992029454
0.2796.78006721290851.34077552400739
0.2897.04745701288591.23437070491293
0.2997.29075225675231.11981376255401
0.397.50926887912991.00380209298136
0.3197.70353471726170.892012514367732
0.3297.87506994224620.789110096165628
0.3398.02611908508240.697866931305322
0.3498.15937668484060.62033986252584
0.3598.27773606634080.557272448044342
0.3698.38407757281330.508378949975108
0.3798.48110209374420.472539511661794
0.3898.57120927965010.448251823944375
0.3998.65641708533920.433182779247876
0.498.7383189111830.424850468652311
0.4198.8180750576570.420899980713056
0.4298.89643524910780.419032404715649
0.4398.97378804645830.417302231040103
0.4499.05023116992740.414511295527231
0.4599.12565470551480.409722118457791
0.4699.1998276748870.40266327198315
0.4799.27247817848920.393630132978837
0.4899.34335858822020.382963659640946
0.4999.41228994003280.371365192949639
0.599.47918325448530.35957700082172
0.5199.54403928381370.348004897249401
0.5299.60693143132060.337246943935205
0.5399.66797876077360.327247146952284
0.5499.72731681953970.318233354216727
0.5599.78507342721060.309795343301905
0.5699.84135485295830.301689903188277
0.5799.89624529907120.293789980214458
0.5899.94981978277050.286002720532701
0.59100.0021678313340.278293270954488
0.6100.0534232980110.271027174060713
0.61100.1037943922050.264780221237613
0.62100.1535878758920.260155779834013
0.63100.2032223057750.257834095012216
0.64100.2532270016590.258446978032422
0.65100.3042257439230.262663973124799
0.66100.3569066254270.270681531154859
0.67100.4119816352080.282417853922053
0.68100.4701412214560.297284168429821
0.69100.5320102586360.314985710372323
0.7100.5981126498640.334522159070289
0.71100.6688523129620.355024723723909
0.72100.7445183602560.375751798889061
0.73100.8253213429610.396175003676129
0.74100.9114646396840.415906546893659
0.75101.0032495951310.435475716719341
0.76101.1012045649340.455818474849507
0.77101.2062173344810.478784680970776
0.78101.319639454440.506683007076157
0.79101.4433229178490.542163830934627
0.8101.5795477578970.586919709287026
0.81101.7308066869130.641502605339746
0.82101.8994319795850.7043552638005
0.83102.0870811932170.771499928563326
0.84102.2941407026790.836498794116675
0.85102.5191543961730.891025269446201
0.86102.75842795550.925814633152266
0.87103.0059775970230.932275365083047
0.88103.2539612019060.904568964132415
0.89103.4936299909620.841558665120815
0.9103.7166749449810.748046062795883


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.10 ; par2 = 0.90 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.10 ; par2 = 0.90 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.95'
par1 <- '0.05'
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')