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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 computationThu, 06 Oct 2016 19:32:51 +0100
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/Oct/06/t14757787888jsylz2a565q1me.htm/, Retrieved Sat, 04 May 2024 09:09:13 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 09:09:13 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-5
-3
-7
-10
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-41
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-33
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-34
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3

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01-42.73474759088330.953484175672874
0.02-42.32165489381150.92937534121557
0.03-41.85739881605160.929744715448675
0.04-41.39890764077750.96807613351466
0.05-40.96041611878791.05123115826358
0.06-40.53541883804521.16212789054747
0.07-40.11501083269721.26885434286805
0.08-39.69580601436921.34578787359638
0.09-39.28034779290751.3827132125893
0.1-38.87430145269061.3833948130653
0.11-38.48336345351141.35956985675496
0.12-38.11124330315161.32519556923151
0.13-37.75895057172721.292181646307
0.14-37.42504079313591.26897564350324
0.15-37.10633038015391.26039600925988
0.16-36.79869637082321.26863995568115
0.17-36.4977569481021.29381450851992
0.18-36.19937453219831.33454511679995
0.19-35.89999861862991.38785227925408
0.2-35.59688196919421.44968928040988
0.21-35.28819041986681.51517055716166
0.22-34.97300933751011.57956536968091
0.23-34.65124254481791.63887545395054
0.24-34.32340455586091.69059024248926
0.25-33.99031938349581.73425539007756
0.26-33.65275232777071.77168102660657
0.27-33.31101019032511.8072135812126
0.28-32.96454867623071.84743365649566
0.29-32.61162449359441.90122509891147
0.3-32.24902625628171.97928676392667
0.31-31.87191479157682.09324579520551
0.32-31.47380046167552.25472046378315
0.33-31.04668153613962.47368162881145
0.34-30.58136126320032.75690366810506
0.35-30.06794976658323.10670084385764
0.36-29.49653904069413.51995834822916
0.37-28.85801593416493.98769833178941
0.38-28.14495218507044.49519408396793
0.39-27.35248720484335.02254682057464
0.4-26.47910402098865.54572167633025
0.41-25.52719646670016.03827702350199
0.42-24.50333911909266.47348260251855
0.43-23.41820037630286.82654414363677
0.44-22.2860799474367.07685676056869
0.45-21.12409880426427.20998857384693
0.46-19.95111479565017.21901754286635
0.47-18.78647324671817.10507330038607
0.48-17.64872310061986.87714216693907
0.49-16.55443227416466.55111633346635
0.5-15.51722075615586.14814479416684
0.51-14.54709941878955.69258139566674
0.52-13.65016169453725.20982914416564
0.53-12.82863066163324.72421466835397
0.54-12.08122231827684.25718808838257
0.55-11.40375264187063.82590034617571
0.56-10.78989541425783.44241182784581
0.57-10.23199150267233.11326034836597
0.58-9.72181775092172.83979672738675
0.59-9.251242257809342.61888705264738
0.6-8.812718570419952.44419666318078
0.61-8.399599518090782.30772026256754
0.62-8.006277542052982.20119509732226
0.63-7.628178794049812.11726377967869
0.64-7.261650719241532.05012448347583
0.65-6.903786649624671.99565173317528
0.66-6.552227027708351.95126678644045
0.67-6.204967448538071.91558139656468
0.68-5.86019173972811.88802149823071
0.69-5.516136975838951.86849759828274
0.7-5.170989383168091.85723084017074
0.71-4.822807251565561.85466255845268
0.72-4.469469513074211.86147389915659
0.73-4.108655253159471.8785434933863
0.74-3.737867315401051.90677636726343
0.75-3.354518606206571.94676731887419
0.76-2.956098815678451.99822587778114
0.77-2.540429096580892.05936829177463
0.78-2.105992010481722.12637790248509
0.79-1.652296297162142.1932002301068
0.8-1.180207239585452.25183330073266
0.81-0.6921535719732932.29318193551836
0.82-0.1921223527884152.30847499425098
0.830.3146174517704472.29095384566241
0.840.8220635557357232.23751582488829
0.851.324227785392352.14979833213148
0.861.815946770815472.03428466079767
0.872.293605554801031.90118165068108
0.882.75568219909851.76222083995849
0.893.20314210275611.62815744648149
0.93.639820025897641.50736697277253
0.914.072886003006691.40692112636367
0.924.513144521886051.33591663988231
0.934.974238120869291.30710423191826
0.945.469146373336621.32868566302024
0.956.002562655754221.38218597277139
0.966.560001340860411.40160047292509
0.977.099245921630051.28326467612273
0.987.554518311427660.947420106202034
0.997.861964394741220.441786145798475

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -42.7347475908833 & 0.953484175672874 \tabularnewline
0.02 & -42.3216548938115 & 0.92937534121557 \tabularnewline
0.03 & -41.8573988160516 & 0.929744715448675 \tabularnewline
0.04 & -41.3989076407775 & 0.96807613351466 \tabularnewline
0.05 & -40.9604161187879 & 1.05123115826358 \tabularnewline
0.06 & -40.5354188380452 & 1.16212789054747 \tabularnewline
0.07 & -40.1150108326972 & 1.26885434286805 \tabularnewline
0.08 & -39.6958060143692 & 1.34578787359638 \tabularnewline
0.09 & -39.2803477929075 & 1.3827132125893 \tabularnewline
0.1 & -38.8743014526906 & 1.3833948130653 \tabularnewline
0.11 & -38.4833634535114 & 1.35956985675496 \tabularnewline
0.12 & -38.1112433031516 & 1.32519556923151 \tabularnewline
0.13 & -37.7589505717272 & 1.292181646307 \tabularnewline
0.14 & -37.4250407931359 & 1.26897564350324 \tabularnewline
0.15 & -37.1063303801539 & 1.26039600925988 \tabularnewline
0.16 & -36.7986963708232 & 1.26863995568115 \tabularnewline
0.17 & -36.497756948102 & 1.29381450851992 \tabularnewline
0.18 & -36.1993745321983 & 1.33454511679995 \tabularnewline
0.19 & -35.8999986186299 & 1.38785227925408 \tabularnewline
0.2 & -35.5968819691942 & 1.44968928040988 \tabularnewline
0.21 & -35.2881904198668 & 1.51517055716166 \tabularnewline
0.22 & -34.9730093375101 & 1.57956536968091 \tabularnewline
0.23 & -34.6512425448179 & 1.63887545395054 \tabularnewline
0.24 & -34.3234045558609 & 1.69059024248926 \tabularnewline
0.25 & -33.9903193834958 & 1.73425539007756 \tabularnewline
0.26 & -33.6527523277707 & 1.77168102660657 \tabularnewline
0.27 & -33.3110101903251 & 1.8072135812126 \tabularnewline
0.28 & -32.9645486762307 & 1.84743365649566 \tabularnewline
0.29 & -32.6116244935944 & 1.90122509891147 \tabularnewline
0.3 & -32.2490262562817 & 1.97928676392667 \tabularnewline
0.31 & -31.8719147915768 & 2.09324579520551 \tabularnewline
0.32 & -31.4738004616755 & 2.25472046378315 \tabularnewline
0.33 & -31.0466815361396 & 2.47368162881145 \tabularnewline
0.34 & -30.5813612632003 & 2.75690366810506 \tabularnewline
0.35 & -30.0679497665832 & 3.10670084385764 \tabularnewline
0.36 & -29.4965390406941 & 3.51995834822916 \tabularnewline
0.37 & -28.8580159341649 & 3.98769833178941 \tabularnewline
0.38 & -28.1449521850704 & 4.49519408396793 \tabularnewline
0.39 & -27.3524872048433 & 5.02254682057464 \tabularnewline
0.4 & -26.4791040209886 & 5.54572167633025 \tabularnewline
0.41 & -25.5271964667001 & 6.03827702350199 \tabularnewline
0.42 & -24.5033391190926 & 6.47348260251855 \tabularnewline
0.43 & -23.4182003763028 & 6.82654414363677 \tabularnewline
0.44 & -22.286079947436 & 7.07685676056869 \tabularnewline
0.45 & -21.1240988042642 & 7.20998857384693 \tabularnewline
0.46 & -19.9511147956501 & 7.21901754286635 \tabularnewline
0.47 & -18.7864732467181 & 7.10507330038607 \tabularnewline
0.48 & -17.6487231006198 & 6.87714216693907 \tabularnewline
0.49 & -16.5544322741646 & 6.55111633346635 \tabularnewline
0.5 & -15.5172207561558 & 6.14814479416684 \tabularnewline
0.51 & -14.5470994187895 & 5.69258139566674 \tabularnewline
0.52 & -13.6501616945372 & 5.20982914416564 \tabularnewline
0.53 & -12.8286306616332 & 4.72421466835397 \tabularnewline
0.54 & -12.0812223182768 & 4.25718808838257 \tabularnewline
0.55 & -11.4037526418706 & 3.82590034617571 \tabularnewline
0.56 & -10.7898954142578 & 3.44241182784581 \tabularnewline
0.57 & -10.2319915026723 & 3.11326034836597 \tabularnewline
0.58 & -9.7218177509217 & 2.83979672738675 \tabularnewline
0.59 & -9.25124225780934 & 2.61888705264738 \tabularnewline
0.6 & -8.81271857041995 & 2.44419666318078 \tabularnewline
0.61 & -8.39959951809078 & 2.30772026256754 \tabularnewline
0.62 & -8.00627754205298 & 2.20119509732226 \tabularnewline
0.63 & -7.62817879404981 & 2.11726377967869 \tabularnewline
0.64 & -7.26165071924153 & 2.05012448347583 \tabularnewline
0.65 & -6.90378664962467 & 1.99565173317528 \tabularnewline
0.66 & -6.55222702770835 & 1.95126678644045 \tabularnewline
0.67 & -6.20496744853807 & 1.91558139656468 \tabularnewline
0.68 & -5.8601917397281 & 1.88802149823071 \tabularnewline
0.69 & -5.51613697583895 & 1.86849759828274 \tabularnewline
0.7 & -5.17098938316809 & 1.85723084017074 \tabularnewline
0.71 & -4.82280725156556 & 1.85466255845268 \tabularnewline
0.72 & -4.46946951307421 & 1.86147389915659 \tabularnewline
0.73 & -4.10865525315947 & 1.8785434933863 \tabularnewline
0.74 & -3.73786731540105 & 1.90677636726343 \tabularnewline
0.75 & -3.35451860620657 & 1.94676731887419 \tabularnewline
0.76 & -2.95609881567845 & 1.99822587778114 \tabularnewline
0.77 & -2.54042909658089 & 2.05936829177463 \tabularnewline
0.78 & -2.10599201048172 & 2.12637790248509 \tabularnewline
0.79 & -1.65229629716214 & 2.1932002301068 \tabularnewline
0.8 & -1.18020723958545 & 2.25183330073266 \tabularnewline
0.81 & -0.692153571973293 & 2.29318193551836 \tabularnewline
0.82 & -0.192122352788415 & 2.30847499425098 \tabularnewline
0.83 & 0.314617451770447 & 2.29095384566241 \tabularnewline
0.84 & 0.822063555735723 & 2.23751582488829 \tabularnewline
0.85 & 1.32422778539235 & 2.14979833213148 \tabularnewline
0.86 & 1.81594677081547 & 2.03428466079767 \tabularnewline
0.87 & 2.29360555480103 & 1.90118165068108 \tabularnewline
0.88 & 2.7556821990985 & 1.76222083995849 \tabularnewline
0.89 & 3.2031421027561 & 1.62815744648149 \tabularnewline
0.9 & 3.63982002589764 & 1.50736697277253 \tabularnewline
0.91 & 4.07288600300669 & 1.40692112636367 \tabularnewline
0.92 & 4.51314452188605 & 1.33591663988231 \tabularnewline
0.93 & 4.97423812086929 & 1.30710423191826 \tabularnewline
0.94 & 5.46914637333662 & 1.32868566302024 \tabularnewline
0.95 & 6.00256265575422 & 1.38218597277139 \tabularnewline
0.96 & 6.56000134086041 & 1.40160047292509 \tabularnewline
0.97 & 7.09924592163005 & 1.28326467612273 \tabularnewline
0.98 & 7.55451831142766 & 0.947420106202034 \tabularnewline
0.99 & 7.86196439474122 & 0.441786145798475 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-42.7347475908833[/C][C]0.953484175672874[/C][/ROW]
[ROW][C]0.02[/C][C]-42.3216548938115[/C][C]0.92937534121557[/C][/ROW]
[ROW][C]0.03[/C][C]-41.8573988160516[/C][C]0.929744715448675[/C][/ROW]
[ROW][C]0.04[/C][C]-41.3989076407775[/C][C]0.96807613351466[/C][/ROW]
[ROW][C]0.05[/C][C]-40.9604161187879[/C][C]1.05123115826358[/C][/ROW]
[ROW][C]0.06[/C][C]-40.5354188380452[/C][C]1.16212789054747[/C][/ROW]
[ROW][C]0.07[/C][C]-40.1150108326972[/C][C]1.26885434286805[/C][/ROW]
[ROW][C]0.08[/C][C]-39.6958060143692[/C][C]1.34578787359638[/C][/ROW]
[ROW][C]0.09[/C][C]-39.2803477929075[/C][C]1.3827132125893[/C][/ROW]
[ROW][C]0.1[/C][C]-38.8743014526906[/C][C]1.3833948130653[/C][/ROW]
[ROW][C]0.11[/C][C]-38.4833634535114[/C][C]1.35956985675496[/C][/ROW]
[ROW][C]0.12[/C][C]-38.1112433031516[/C][C]1.32519556923151[/C][/ROW]
[ROW][C]0.13[/C][C]-37.7589505717272[/C][C]1.292181646307[/C][/ROW]
[ROW][C]0.14[/C][C]-37.4250407931359[/C][C]1.26897564350324[/C][/ROW]
[ROW][C]0.15[/C][C]-37.1063303801539[/C][C]1.26039600925988[/C][/ROW]
[ROW][C]0.16[/C][C]-36.7986963708232[/C][C]1.26863995568115[/C][/ROW]
[ROW][C]0.17[/C][C]-36.497756948102[/C][C]1.29381450851992[/C][/ROW]
[ROW][C]0.18[/C][C]-36.1993745321983[/C][C]1.33454511679995[/C][/ROW]
[ROW][C]0.19[/C][C]-35.8999986186299[/C][C]1.38785227925408[/C][/ROW]
[ROW][C]0.2[/C][C]-35.5968819691942[/C][C]1.44968928040988[/C][/ROW]
[ROW][C]0.21[/C][C]-35.2881904198668[/C][C]1.51517055716166[/C][/ROW]
[ROW][C]0.22[/C][C]-34.9730093375101[/C][C]1.57956536968091[/C][/ROW]
[ROW][C]0.23[/C][C]-34.6512425448179[/C][C]1.63887545395054[/C][/ROW]
[ROW][C]0.24[/C][C]-34.3234045558609[/C][C]1.69059024248926[/C][/ROW]
[ROW][C]0.25[/C][C]-33.9903193834958[/C][C]1.73425539007756[/C][/ROW]
[ROW][C]0.26[/C][C]-33.6527523277707[/C][C]1.77168102660657[/C][/ROW]
[ROW][C]0.27[/C][C]-33.3110101903251[/C][C]1.8072135812126[/C][/ROW]
[ROW][C]0.28[/C][C]-32.9645486762307[/C][C]1.84743365649566[/C][/ROW]
[ROW][C]0.29[/C][C]-32.6116244935944[/C][C]1.90122509891147[/C][/ROW]
[ROW][C]0.3[/C][C]-32.2490262562817[/C][C]1.97928676392667[/C][/ROW]
[ROW][C]0.31[/C][C]-31.8719147915768[/C][C]2.09324579520551[/C][/ROW]
[ROW][C]0.32[/C][C]-31.4738004616755[/C][C]2.25472046378315[/C][/ROW]
[ROW][C]0.33[/C][C]-31.0466815361396[/C][C]2.47368162881145[/C][/ROW]
[ROW][C]0.34[/C][C]-30.5813612632003[/C][C]2.75690366810506[/C][/ROW]
[ROW][C]0.35[/C][C]-30.0679497665832[/C][C]3.10670084385764[/C][/ROW]
[ROW][C]0.36[/C][C]-29.4965390406941[/C][C]3.51995834822916[/C][/ROW]
[ROW][C]0.37[/C][C]-28.8580159341649[/C][C]3.98769833178941[/C][/ROW]
[ROW][C]0.38[/C][C]-28.1449521850704[/C][C]4.49519408396793[/C][/ROW]
[ROW][C]0.39[/C][C]-27.3524872048433[/C][C]5.02254682057464[/C][/ROW]
[ROW][C]0.4[/C][C]-26.4791040209886[/C][C]5.54572167633025[/C][/ROW]
[ROW][C]0.41[/C][C]-25.5271964667001[/C][C]6.03827702350199[/C][/ROW]
[ROW][C]0.42[/C][C]-24.5033391190926[/C][C]6.47348260251855[/C][/ROW]
[ROW][C]0.43[/C][C]-23.4182003763028[/C][C]6.82654414363677[/C][/ROW]
[ROW][C]0.44[/C][C]-22.286079947436[/C][C]7.07685676056869[/C][/ROW]
[ROW][C]0.45[/C][C]-21.1240988042642[/C][C]7.20998857384693[/C][/ROW]
[ROW][C]0.46[/C][C]-19.9511147956501[/C][C]7.21901754286635[/C][/ROW]
[ROW][C]0.47[/C][C]-18.7864732467181[/C][C]7.10507330038607[/C][/ROW]
[ROW][C]0.48[/C][C]-17.6487231006198[/C][C]6.87714216693907[/C][/ROW]
[ROW][C]0.49[/C][C]-16.5544322741646[/C][C]6.55111633346635[/C][/ROW]
[ROW][C]0.5[/C][C]-15.5172207561558[/C][C]6.14814479416684[/C][/ROW]
[ROW][C]0.51[/C][C]-14.5470994187895[/C][C]5.69258139566674[/C][/ROW]
[ROW][C]0.52[/C][C]-13.6501616945372[/C][C]5.20982914416564[/C][/ROW]
[ROW][C]0.53[/C][C]-12.8286306616332[/C][C]4.72421466835397[/C][/ROW]
[ROW][C]0.54[/C][C]-12.0812223182768[/C][C]4.25718808838257[/C][/ROW]
[ROW][C]0.55[/C][C]-11.4037526418706[/C][C]3.82590034617571[/C][/ROW]
[ROW][C]0.56[/C][C]-10.7898954142578[/C][C]3.44241182784581[/C][/ROW]
[ROW][C]0.57[/C][C]-10.2319915026723[/C][C]3.11326034836597[/C][/ROW]
[ROW][C]0.58[/C][C]-9.7218177509217[/C][C]2.83979672738675[/C][/ROW]
[ROW][C]0.59[/C][C]-9.25124225780934[/C][C]2.61888705264738[/C][/ROW]
[ROW][C]0.6[/C][C]-8.81271857041995[/C][C]2.44419666318078[/C][/ROW]
[ROW][C]0.61[/C][C]-8.39959951809078[/C][C]2.30772026256754[/C][/ROW]
[ROW][C]0.62[/C][C]-8.00627754205298[/C][C]2.20119509732226[/C][/ROW]
[ROW][C]0.63[/C][C]-7.62817879404981[/C][C]2.11726377967869[/C][/ROW]
[ROW][C]0.64[/C][C]-7.26165071924153[/C][C]2.05012448347583[/C][/ROW]
[ROW][C]0.65[/C][C]-6.90378664962467[/C][C]1.99565173317528[/C][/ROW]
[ROW][C]0.66[/C][C]-6.55222702770835[/C][C]1.95126678644045[/C][/ROW]
[ROW][C]0.67[/C][C]-6.20496744853807[/C][C]1.91558139656468[/C][/ROW]
[ROW][C]0.68[/C][C]-5.8601917397281[/C][C]1.88802149823071[/C][/ROW]
[ROW][C]0.69[/C][C]-5.51613697583895[/C][C]1.86849759828274[/C][/ROW]
[ROW][C]0.7[/C][C]-5.17098938316809[/C][C]1.85723084017074[/C][/ROW]
[ROW][C]0.71[/C][C]-4.82280725156556[/C][C]1.85466255845268[/C][/ROW]
[ROW][C]0.72[/C][C]-4.46946951307421[/C][C]1.86147389915659[/C][/ROW]
[ROW][C]0.73[/C][C]-4.10865525315947[/C][C]1.8785434933863[/C][/ROW]
[ROW][C]0.74[/C][C]-3.73786731540105[/C][C]1.90677636726343[/C][/ROW]
[ROW][C]0.75[/C][C]-3.35451860620657[/C][C]1.94676731887419[/C][/ROW]
[ROW][C]0.76[/C][C]-2.95609881567845[/C][C]1.99822587778114[/C][/ROW]
[ROW][C]0.77[/C][C]-2.54042909658089[/C][C]2.05936829177463[/C][/ROW]
[ROW][C]0.78[/C][C]-2.10599201048172[/C][C]2.12637790248509[/C][/ROW]
[ROW][C]0.79[/C][C]-1.65229629716214[/C][C]2.1932002301068[/C][/ROW]
[ROW][C]0.8[/C][C]-1.18020723958545[/C][C]2.25183330073266[/C][/ROW]
[ROW][C]0.81[/C][C]-0.692153571973293[/C][C]2.29318193551836[/C][/ROW]
[ROW][C]0.82[/C][C]-0.192122352788415[/C][C]2.30847499425098[/C][/ROW]
[ROW][C]0.83[/C][C]0.314617451770447[/C][C]2.29095384566241[/C][/ROW]
[ROW][C]0.84[/C][C]0.822063555735723[/C][C]2.23751582488829[/C][/ROW]
[ROW][C]0.85[/C][C]1.32422778539235[/C][C]2.14979833213148[/C][/ROW]
[ROW][C]0.86[/C][C]1.81594677081547[/C][C]2.03428466079767[/C][/ROW]
[ROW][C]0.87[/C][C]2.29360555480103[/C][C]1.90118165068108[/C][/ROW]
[ROW][C]0.88[/C][C]2.7556821990985[/C][C]1.76222083995849[/C][/ROW]
[ROW][C]0.89[/C][C]3.2031421027561[/C][C]1.62815744648149[/C][/ROW]
[ROW][C]0.9[/C][C]3.63982002589764[/C][C]1.50736697277253[/C][/ROW]
[ROW][C]0.91[/C][C]4.07288600300669[/C][C]1.40692112636367[/C][/ROW]
[ROW][C]0.92[/C][C]4.51314452188605[/C][C]1.33591663988231[/C][/ROW]
[ROW][C]0.93[/C][C]4.97423812086929[/C][C]1.30710423191826[/C][/ROW]
[ROW][C]0.94[/C][C]5.46914637333662[/C][C]1.32868566302024[/C][/ROW]
[ROW][C]0.95[/C][C]6.00256265575422[/C][C]1.38218597277139[/C][/ROW]
[ROW][C]0.96[/C][C]6.56000134086041[/C][C]1.40160047292509[/C][/ROW]
[ROW][C]0.97[/C][C]7.09924592163005[/C][C]1.28326467612273[/C][/ROW]
[ROW][C]0.98[/C][C]7.55451831142766[/C][C]0.947420106202034[/C][/ROW]
[ROW][C]0.99[/C][C]7.86196439474122[/C][C]0.441786145798475[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01-42.73474759088330.953484175672874
0.02-42.32165489381150.92937534121557
0.03-41.85739881605160.929744715448675
0.04-41.39890764077750.96807613351466
0.05-40.96041611878791.05123115826358
0.06-40.53541883804521.16212789054747
0.07-40.11501083269721.26885434286805
0.08-39.69580601436921.34578787359638
0.09-39.28034779290751.3827132125893
0.1-38.87430145269061.3833948130653
0.11-38.48336345351141.35956985675496
0.12-38.11124330315161.32519556923151
0.13-37.75895057172721.292181646307
0.14-37.42504079313591.26897564350324
0.15-37.10633038015391.26039600925988
0.16-36.79869637082321.26863995568115
0.17-36.4977569481021.29381450851992
0.18-36.19937453219831.33454511679995
0.19-35.89999861862991.38785227925408
0.2-35.59688196919421.44968928040988
0.21-35.28819041986681.51517055716166
0.22-34.97300933751011.57956536968091
0.23-34.65124254481791.63887545395054
0.24-34.32340455586091.69059024248926
0.25-33.99031938349581.73425539007756
0.26-33.65275232777071.77168102660657
0.27-33.31101019032511.8072135812126
0.28-32.96454867623071.84743365649566
0.29-32.61162449359441.90122509891147
0.3-32.24902625628171.97928676392667
0.31-31.87191479157682.09324579520551
0.32-31.47380046167552.25472046378315
0.33-31.04668153613962.47368162881145
0.34-30.58136126320032.75690366810506
0.35-30.06794976658323.10670084385764
0.36-29.49653904069413.51995834822916
0.37-28.85801593416493.98769833178941
0.38-28.14495218507044.49519408396793
0.39-27.35248720484335.02254682057464
0.4-26.47910402098865.54572167633025
0.41-25.52719646670016.03827702350199
0.42-24.50333911909266.47348260251855
0.43-23.41820037630286.82654414363677
0.44-22.2860799474367.07685676056869
0.45-21.12409880426427.20998857384693
0.46-19.95111479565017.21901754286635
0.47-18.78647324671817.10507330038607
0.48-17.64872310061986.87714216693907
0.49-16.55443227416466.55111633346635
0.5-15.51722075615586.14814479416684
0.51-14.54709941878955.69258139566674
0.52-13.65016169453725.20982914416564
0.53-12.82863066163324.72421466835397
0.54-12.08122231827684.25718808838257
0.55-11.40375264187063.82590034617571
0.56-10.78989541425783.44241182784581
0.57-10.23199150267233.11326034836597
0.58-9.72181775092172.83979672738675
0.59-9.251242257809342.61888705264738
0.6-8.812718570419952.44419666318078
0.61-8.399599518090782.30772026256754
0.62-8.006277542052982.20119509732226
0.63-7.628178794049812.11726377967869
0.64-7.261650719241532.05012448347583
0.65-6.903786649624671.99565173317528
0.66-6.552227027708351.95126678644045
0.67-6.204967448538071.91558139656468
0.68-5.86019173972811.88802149823071
0.69-5.516136975838951.86849759828274
0.7-5.170989383168091.85723084017074
0.71-4.822807251565561.85466255845268
0.72-4.469469513074211.86147389915659
0.73-4.108655253159471.8785434933863
0.74-3.737867315401051.90677636726343
0.75-3.354518606206571.94676731887419
0.76-2.956098815678451.99822587778114
0.77-2.540429096580892.05936829177463
0.78-2.105992010481722.12637790248509
0.79-1.652296297162142.1932002301068
0.8-1.180207239585452.25183330073266
0.81-0.6921535719732932.29318193551836
0.82-0.1921223527884152.30847499425098
0.830.3146174517704472.29095384566241
0.840.8220635557357232.23751582488829
0.851.324227785392352.14979833213148
0.861.815946770815472.03428466079767
0.872.293605554801031.90118165068108
0.882.75568219909851.76222083995849
0.893.20314210275611.62815744648149
0.93.639820025897641.50736697277253
0.914.072886003006691.40692112636367
0.924.513144521886051.33591663988231
0.934.974238120869291.30710423191826
0.945.469146373336621.32868566302024
0.956.002562655754221.38218597277139
0.966.560001340860411.40160047292509
0.977.099245921630051.28326467612273
0.987.554518311427660.947420106202034
0.997.861964394741220.441786145798475


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')