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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, 26 Feb 2015 04:08:00 +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/2015/Feb/26/t1424923828nppgsc1ilb8e0t0.htm/, Retrieved Wed, 22 May 2024 14:21:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277524, Retrieved Wed, 22 May 2024 14:21:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAscari Maerevoet
Estimated Impact98

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] [Opgave 4 OEF 2 ST...] [2015-02-26 04:08:00] [1738856fac0304df70af8aee7fa46d3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12
-16
-20
-12
-12
-10
-10
-13
-16
-14
-17
-24
-25
-23
-17
-24
-20
-19
-18
-16
-12
-7
-6
-6
-5
-4
-4
-8
-9
-6
-7
-10
-11
-11
-12
-14
-12

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=277524&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=277524&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277524&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
0.01-24.74691428200910.752429152365375
0.02-24.42003703283570.485837093750669
0.03-24.13349797385020.379119046789549
0.04-23.88532667187380.517388536353565
0.05-23.62002926954030.797020489870232
0.06-23.29141366894361.11468286991336
0.07-22.88431749324671.39765981155215
0.08-22.41060045044681.59704242246458
0.09-21.89697626169941.69409070273104
0.1-21.3732008398111.69878375573165
0.11-20.86379755112721.6401465562094
0.12-20.38413717676861.55301529064989
0.13-19.94031260806491.46651608122939
0.14-19.53142466458021.39739290928399
0.15-19.15271026342821.34956960556874
0.16-18.7982995309431.31850249117345
0.17-18.46298992822451.29673048698498
0.18-18.14297761223271.27809396627289
0.19-17.83582335694281.25923582286731
0.2-17.54003240484161.23950000752996
0.21-17.25456592315341.21999441802475
0.22-16.97847142786351.20250323721899
0.23-16.71069412356331.18860728206504
0.24-16.45004718386031.17922079917193
0.25-16.1952820654381.17447380032637
0.26-15.94519821238841.17384043117001
0.27-15.69874834374621.17629148591127
0.28-15.45511696376731.18058731013384
0.29-15.21376723329971.18536464193613
0.3-14.97446148580971.18925734092242
0.31-14.73726366963581.19087114706388
0.32-14.50252995792151.18883702933377
0.33-14.27088936128551.18184340512414
0.34-14.04321181023771.1686705582097
0.35-13.8205585823521.14834902963098
0.36-13.60411007479021.12032559297752
0.37-13.3950689102161.0845626384262
0.38-13.1945416171791.04174513955972
0.39-13.00340842564960.993339162878555
0.4-12.82219644146380.94155538752465
0.41-12.65097492387510.889315765240876
0.42-12.48929126514760.839934241167157
0.43-12.33616200816520.796855710544316
0.44-12.19012530971940.763161217832583
0.45-12.04935114416210.741127921907733
0.46-11.91179541250110.73178591532047
0.47-11.77537627529760.734762595405597
0.48-11.63814726741080.748379196229179
0.49-11.49844288730440.770095874236125
0.5-11.35497799112890.796998787078106
0.51-11.20689102164560.826302242944061
0.52-11.05373082735360.855660070670635
0.53-10.89539553579410.88335572658525
0.54-10.73203812077650.908369643450009
0.55-10.56395626171990.930388127166824
0.56-10.3914839881580.949664262375438
0.57-10.21490016976610.966919747486916
0.58-10.0343650785720.983110683933342
0.59-9.849891768697210.99926747322846
0.6-9.661354276923591.01624941243289
0.61-9.468529710636041.03459453964496
0.62-9.271166158607131.05431495528154
0.63-9.069063311512251.07487329931902
0.64-8.862148519523711.09520029565797
0.65-8.650529078918391.1138714457654
0.66-8.434503355157861.12941525531519
0.67-8.214520018543181.14068762209893
0.68-7.991086171004361.14724008793159
0.69-7.764639843336641.14957600678339
0.7-7.535416954662551.1491838355666
0.71-7.303352958612591.14831772375056
0.72-7.06806061236261.14941055163387
0.73-6.828914432519281.15434134682334
0.74-6.585248858694411.1635970127291
0.75-6.336643896155391.17571403759835
0.76-6.083235960817311.18718667774167
0.77-5.825963154227571.1930037872333
0.78-5.56664528563941.18778405527145
0.79-5.307820044276451.16720260994074
0.8-5.052311974416431.12950767598213
0.81-4.80259346431631.07657680792056
0.82-4.560086226309661.01430509784014
0.83-4.324615294655370.951849433627639
0.84-4.094229358681730.899578439894105
0.85-3.865515436245290.865733067724615
0.86-3.634362828610360.852826382163707
0.87-3.396910459777650.856082531889491
0.88-3.150225628862370.865705892014196
0.89-2.892224777913720.872132273069332
0.9-2.62056800196030.871879965942326
0.91-2.330781074159940.871669153513152
0.92-2.014579452314660.887810923422178
0.93-1.660000428882160.936642069831115
0.94-1.255073431633781.01709067691819
0.95-0.7959401805640751.09824612508833
0.96-0.298138975967931.12190391701336
0.970.1942378172127511.01810114281516
0.980.6118768342929810.74015883483783
0.990.8871033430796210.334551959114455

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.7469142820091 & 0.752429152365375 \tabularnewline
0.02 & -24.4200370328357 & 0.485837093750669 \tabularnewline
0.03 & -24.1334979738502 & 0.379119046789549 \tabularnewline
0.04 & -23.8853266718738 & 0.517388536353565 \tabularnewline
0.05 & -23.6200292695403 & 0.797020489870232 \tabularnewline
0.06 & -23.2914136689436 & 1.11468286991336 \tabularnewline
0.07 & -22.8843174932467 & 1.39765981155215 \tabularnewline
0.08 & -22.4106004504468 & 1.59704242246458 \tabularnewline
0.09 & -21.8969762616994 & 1.69409070273104 \tabularnewline
0.1 & -21.373200839811 & 1.69878375573165 \tabularnewline
0.11 & -20.8637975511272 & 1.6401465562094 \tabularnewline
0.12 & -20.3841371767686 & 1.55301529064989 \tabularnewline
0.13 & -19.9403126080649 & 1.46651608122939 \tabularnewline
0.14 & -19.5314246645802 & 1.39739290928399 \tabularnewline
0.15 & -19.1527102634282 & 1.34956960556874 \tabularnewline
0.16 & -18.798299530943 & 1.31850249117345 \tabularnewline
0.17 & -18.4629899282245 & 1.29673048698498 \tabularnewline
0.18 & -18.1429776122327 & 1.27809396627289 \tabularnewline
0.19 & -17.8358233569428 & 1.25923582286731 \tabularnewline
0.2 & -17.5400324048416 & 1.23950000752996 \tabularnewline
0.21 & -17.2545659231534 & 1.21999441802475 \tabularnewline
0.22 & -16.9784714278635 & 1.20250323721899 \tabularnewline
0.23 & -16.7106941235633 & 1.18860728206504 \tabularnewline
0.24 & -16.4500471838603 & 1.17922079917193 \tabularnewline
0.25 & -16.195282065438 & 1.17447380032637 \tabularnewline
0.26 & -15.9451982123884 & 1.17384043117001 \tabularnewline
0.27 & -15.6987483437462 & 1.17629148591127 \tabularnewline
0.28 & -15.4551169637673 & 1.18058731013384 \tabularnewline
0.29 & -15.2137672332997 & 1.18536464193613 \tabularnewline
0.3 & -14.9744614858097 & 1.18925734092242 \tabularnewline
0.31 & -14.7372636696358 & 1.19087114706388 \tabularnewline
0.32 & -14.5025299579215 & 1.18883702933377 \tabularnewline
0.33 & -14.2708893612855 & 1.18184340512414 \tabularnewline
0.34 & -14.0432118102377 & 1.1686705582097 \tabularnewline
0.35 & -13.820558582352 & 1.14834902963098 \tabularnewline
0.36 & -13.6041100747902 & 1.12032559297752 \tabularnewline
0.37 & -13.395068910216 & 1.0845626384262 \tabularnewline
0.38 & -13.194541617179 & 1.04174513955972 \tabularnewline
0.39 & -13.0034084256496 & 0.993339162878555 \tabularnewline
0.4 & -12.8221964414638 & 0.94155538752465 \tabularnewline
0.41 & -12.6509749238751 & 0.889315765240876 \tabularnewline
0.42 & -12.4892912651476 & 0.839934241167157 \tabularnewline
0.43 & -12.3361620081652 & 0.796855710544316 \tabularnewline
0.44 & -12.1901253097194 & 0.763161217832583 \tabularnewline
0.45 & -12.0493511441621 & 0.741127921907733 \tabularnewline
0.46 & -11.9117954125011 & 0.73178591532047 \tabularnewline
0.47 & -11.7753762752976 & 0.734762595405597 \tabularnewline
0.48 & -11.6381472674108 & 0.748379196229179 \tabularnewline
0.49 & -11.4984428873044 & 0.770095874236125 \tabularnewline
0.5 & -11.3549779911289 & 0.796998787078106 \tabularnewline
0.51 & -11.2068910216456 & 0.826302242944061 \tabularnewline
0.52 & -11.0537308273536 & 0.855660070670635 \tabularnewline
0.53 & -10.8953955357941 & 0.88335572658525 \tabularnewline
0.54 & -10.7320381207765 & 0.908369643450009 \tabularnewline
0.55 & -10.5639562617199 & 0.930388127166824 \tabularnewline
0.56 & -10.391483988158 & 0.949664262375438 \tabularnewline
0.57 & -10.2149001697661 & 0.966919747486916 \tabularnewline
0.58 & -10.034365078572 & 0.983110683933342 \tabularnewline
0.59 & -9.84989176869721 & 0.99926747322846 \tabularnewline
0.6 & -9.66135427692359 & 1.01624941243289 \tabularnewline
0.61 & -9.46852971063604 & 1.03459453964496 \tabularnewline
0.62 & -9.27116615860713 & 1.05431495528154 \tabularnewline
0.63 & -9.06906331151225 & 1.07487329931902 \tabularnewline
0.64 & -8.86214851952371 & 1.09520029565797 \tabularnewline
0.65 & -8.65052907891839 & 1.1138714457654 \tabularnewline
0.66 & -8.43450335515786 & 1.12941525531519 \tabularnewline
0.67 & -8.21452001854318 & 1.14068762209893 \tabularnewline
0.68 & -7.99108617100436 & 1.14724008793159 \tabularnewline
0.69 & -7.76463984333664 & 1.14957600678339 \tabularnewline
0.7 & -7.53541695466255 & 1.1491838355666 \tabularnewline
0.71 & -7.30335295861259 & 1.14831772375056 \tabularnewline
0.72 & -7.0680606123626 & 1.14941055163387 \tabularnewline
0.73 & -6.82891443251928 & 1.15434134682334 \tabularnewline
0.74 & -6.58524885869441 & 1.1635970127291 \tabularnewline
0.75 & -6.33664389615539 & 1.17571403759835 \tabularnewline
0.76 & -6.08323596081731 & 1.18718667774167 \tabularnewline
0.77 & -5.82596315422757 & 1.1930037872333 \tabularnewline
0.78 & -5.5666452856394 & 1.18778405527145 \tabularnewline
0.79 & -5.30782004427645 & 1.16720260994074 \tabularnewline
0.8 & -5.05231197441643 & 1.12950767598213 \tabularnewline
0.81 & -4.8025934643163 & 1.07657680792056 \tabularnewline
0.82 & -4.56008622630966 & 1.01430509784014 \tabularnewline
0.83 & -4.32461529465537 & 0.951849433627639 \tabularnewline
0.84 & -4.09422935868173 & 0.899578439894105 \tabularnewline
0.85 & -3.86551543624529 & 0.865733067724615 \tabularnewline
0.86 & -3.63436282861036 & 0.852826382163707 \tabularnewline
0.87 & -3.39691045977765 & 0.856082531889491 \tabularnewline
0.88 & -3.15022562886237 & 0.865705892014196 \tabularnewline
0.89 & -2.89222477791372 & 0.872132273069332 \tabularnewline
0.9 & -2.6205680019603 & 0.871879965942326 \tabularnewline
0.91 & -2.33078107415994 & 0.871669153513152 \tabularnewline
0.92 & -2.01457945231466 & 0.887810923422178 \tabularnewline
0.93 & -1.66000042888216 & 0.936642069831115 \tabularnewline
0.94 & -1.25507343163378 & 1.01709067691819 \tabularnewline
0.95 & -0.795940180564075 & 1.09824612508833 \tabularnewline
0.96 & -0.29813897596793 & 1.12190391701336 \tabularnewline
0.97 & 0.194237817212751 & 1.01810114281516 \tabularnewline
0.98 & 0.611876834292981 & 0.74015883483783 \tabularnewline
0.99 & 0.887103343079621 & 0.334551959114455 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277524&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]-24.7469142820091[/C][C]0.752429152365375[/C][/ROW]
[ROW][C]0.02[/C][C]-24.4200370328357[/C][C]0.485837093750669[/C][/ROW]
[ROW][C]0.03[/C][C]-24.1334979738502[/C][C]0.379119046789549[/C][/ROW]
[ROW][C]0.04[/C][C]-23.8853266718738[/C][C]0.517388536353565[/C][/ROW]
[ROW][C]0.05[/C][C]-23.6200292695403[/C][C]0.797020489870232[/C][/ROW]
[ROW][C]0.06[/C][C]-23.2914136689436[/C][C]1.11468286991336[/C][/ROW]
[ROW][C]0.07[/C][C]-22.8843174932467[/C][C]1.39765981155215[/C][/ROW]
[ROW][C]0.08[/C][C]-22.4106004504468[/C][C]1.59704242246458[/C][/ROW]
[ROW][C]0.09[/C][C]-21.8969762616994[/C][C]1.69409070273104[/C][/ROW]
[ROW][C]0.1[/C][C]-21.373200839811[/C][C]1.69878375573165[/C][/ROW]
[ROW][C]0.11[/C][C]-20.8637975511272[/C][C]1.6401465562094[/C][/ROW]
[ROW][C]0.12[/C][C]-20.3841371767686[/C][C]1.55301529064989[/C][/ROW]
[ROW][C]0.13[/C][C]-19.9403126080649[/C][C]1.46651608122939[/C][/ROW]
[ROW][C]0.14[/C][C]-19.5314246645802[/C][C]1.39739290928399[/C][/ROW]
[ROW][C]0.15[/C][C]-19.1527102634282[/C][C]1.34956960556874[/C][/ROW]
[ROW][C]0.16[/C][C]-18.798299530943[/C][C]1.31850249117345[/C][/ROW]
[ROW][C]0.17[/C][C]-18.4629899282245[/C][C]1.29673048698498[/C][/ROW]
[ROW][C]0.18[/C][C]-18.1429776122327[/C][C]1.27809396627289[/C][/ROW]
[ROW][C]0.19[/C][C]-17.8358233569428[/C][C]1.25923582286731[/C][/ROW]
[ROW][C]0.2[/C][C]-17.5400324048416[/C][C]1.23950000752996[/C][/ROW]
[ROW][C]0.21[/C][C]-17.2545659231534[/C][C]1.21999441802475[/C][/ROW]
[ROW][C]0.22[/C][C]-16.9784714278635[/C][C]1.20250323721899[/C][/ROW]
[ROW][C]0.23[/C][C]-16.7106941235633[/C][C]1.18860728206504[/C][/ROW]
[ROW][C]0.24[/C][C]-16.4500471838603[/C][C]1.17922079917193[/C][/ROW]
[ROW][C]0.25[/C][C]-16.195282065438[/C][C]1.17447380032637[/C][/ROW]
[ROW][C]0.26[/C][C]-15.9451982123884[/C][C]1.17384043117001[/C][/ROW]
[ROW][C]0.27[/C][C]-15.6987483437462[/C][C]1.17629148591127[/C][/ROW]
[ROW][C]0.28[/C][C]-15.4551169637673[/C][C]1.18058731013384[/C][/ROW]
[ROW][C]0.29[/C][C]-15.2137672332997[/C][C]1.18536464193613[/C][/ROW]
[ROW][C]0.3[/C][C]-14.9744614858097[/C][C]1.18925734092242[/C][/ROW]
[ROW][C]0.31[/C][C]-14.7372636696358[/C][C]1.19087114706388[/C][/ROW]
[ROW][C]0.32[/C][C]-14.5025299579215[/C][C]1.18883702933377[/C][/ROW]
[ROW][C]0.33[/C][C]-14.2708893612855[/C][C]1.18184340512414[/C][/ROW]
[ROW][C]0.34[/C][C]-14.0432118102377[/C][C]1.1686705582097[/C][/ROW]
[ROW][C]0.35[/C][C]-13.820558582352[/C][C]1.14834902963098[/C][/ROW]
[ROW][C]0.36[/C][C]-13.6041100747902[/C][C]1.12032559297752[/C][/ROW]
[ROW][C]0.37[/C][C]-13.395068910216[/C][C]1.0845626384262[/C][/ROW]
[ROW][C]0.38[/C][C]-13.194541617179[/C][C]1.04174513955972[/C][/ROW]
[ROW][C]0.39[/C][C]-13.0034084256496[/C][C]0.993339162878555[/C][/ROW]
[ROW][C]0.4[/C][C]-12.8221964414638[/C][C]0.94155538752465[/C][/ROW]
[ROW][C]0.41[/C][C]-12.6509749238751[/C][C]0.889315765240876[/C][/ROW]
[ROW][C]0.42[/C][C]-12.4892912651476[/C][C]0.839934241167157[/C][/ROW]
[ROW][C]0.43[/C][C]-12.3361620081652[/C][C]0.796855710544316[/C][/ROW]
[ROW][C]0.44[/C][C]-12.1901253097194[/C][C]0.763161217832583[/C][/ROW]
[ROW][C]0.45[/C][C]-12.0493511441621[/C][C]0.741127921907733[/C][/ROW]
[ROW][C]0.46[/C][C]-11.9117954125011[/C][C]0.73178591532047[/C][/ROW]
[ROW][C]0.47[/C][C]-11.7753762752976[/C][C]0.734762595405597[/C][/ROW]
[ROW][C]0.48[/C][C]-11.6381472674108[/C][C]0.748379196229179[/C][/ROW]
[ROW][C]0.49[/C][C]-11.4984428873044[/C][C]0.770095874236125[/C][/ROW]
[ROW][C]0.5[/C][C]-11.3549779911289[/C][C]0.796998787078106[/C][/ROW]
[ROW][C]0.51[/C][C]-11.2068910216456[/C][C]0.826302242944061[/C][/ROW]
[ROW][C]0.52[/C][C]-11.0537308273536[/C][C]0.855660070670635[/C][/ROW]
[ROW][C]0.53[/C][C]-10.8953955357941[/C][C]0.88335572658525[/C][/ROW]
[ROW][C]0.54[/C][C]-10.7320381207765[/C][C]0.908369643450009[/C][/ROW]
[ROW][C]0.55[/C][C]-10.5639562617199[/C][C]0.930388127166824[/C][/ROW]
[ROW][C]0.56[/C][C]-10.391483988158[/C][C]0.949664262375438[/C][/ROW]
[ROW][C]0.57[/C][C]-10.2149001697661[/C][C]0.966919747486916[/C][/ROW]
[ROW][C]0.58[/C][C]-10.034365078572[/C][C]0.983110683933342[/C][/ROW]
[ROW][C]0.59[/C][C]-9.84989176869721[/C][C]0.99926747322846[/C][/ROW]
[ROW][C]0.6[/C][C]-9.66135427692359[/C][C]1.01624941243289[/C][/ROW]
[ROW][C]0.61[/C][C]-9.46852971063604[/C][C]1.03459453964496[/C][/ROW]
[ROW][C]0.62[/C][C]-9.27116615860713[/C][C]1.05431495528154[/C][/ROW]
[ROW][C]0.63[/C][C]-9.06906331151225[/C][C]1.07487329931902[/C][/ROW]
[ROW][C]0.64[/C][C]-8.86214851952371[/C][C]1.09520029565797[/C][/ROW]
[ROW][C]0.65[/C][C]-8.65052907891839[/C][C]1.1138714457654[/C][/ROW]
[ROW][C]0.66[/C][C]-8.43450335515786[/C][C]1.12941525531519[/C][/ROW]
[ROW][C]0.67[/C][C]-8.21452001854318[/C][C]1.14068762209893[/C][/ROW]
[ROW][C]0.68[/C][C]-7.99108617100436[/C][C]1.14724008793159[/C][/ROW]
[ROW][C]0.69[/C][C]-7.76463984333664[/C][C]1.14957600678339[/C][/ROW]
[ROW][C]0.7[/C][C]-7.53541695466255[/C][C]1.1491838355666[/C][/ROW]
[ROW][C]0.71[/C][C]-7.30335295861259[/C][C]1.14831772375056[/C][/ROW]
[ROW][C]0.72[/C][C]-7.0680606123626[/C][C]1.14941055163387[/C][/ROW]
[ROW][C]0.73[/C][C]-6.82891443251928[/C][C]1.15434134682334[/C][/ROW]
[ROW][C]0.74[/C][C]-6.58524885869441[/C][C]1.1635970127291[/C][/ROW]
[ROW][C]0.75[/C][C]-6.33664389615539[/C][C]1.17571403759835[/C][/ROW]
[ROW][C]0.76[/C][C]-6.08323596081731[/C][C]1.18718667774167[/C][/ROW]
[ROW][C]0.77[/C][C]-5.82596315422757[/C][C]1.1930037872333[/C][/ROW]
[ROW][C]0.78[/C][C]-5.5666452856394[/C][C]1.18778405527145[/C][/ROW]
[ROW][C]0.79[/C][C]-5.30782004427645[/C][C]1.16720260994074[/C][/ROW]
[ROW][C]0.8[/C][C]-5.05231197441643[/C][C]1.12950767598213[/C][/ROW]
[ROW][C]0.81[/C][C]-4.8025934643163[/C][C]1.07657680792056[/C][/ROW]
[ROW][C]0.82[/C][C]-4.56008622630966[/C][C]1.01430509784014[/C][/ROW]
[ROW][C]0.83[/C][C]-4.32461529465537[/C][C]0.951849433627639[/C][/ROW]
[ROW][C]0.84[/C][C]-4.09422935868173[/C][C]0.899578439894105[/C][/ROW]
[ROW][C]0.85[/C][C]-3.86551543624529[/C][C]0.865733067724615[/C][/ROW]
[ROW][C]0.86[/C][C]-3.63436282861036[/C][C]0.852826382163707[/C][/ROW]
[ROW][C]0.87[/C][C]-3.39691045977765[/C][C]0.856082531889491[/C][/ROW]
[ROW][C]0.88[/C][C]-3.15022562886237[/C][C]0.865705892014196[/C][/ROW]
[ROW][C]0.89[/C][C]-2.89222477791372[/C][C]0.872132273069332[/C][/ROW]
[ROW][C]0.9[/C][C]-2.6205680019603[/C][C]0.871879965942326[/C][/ROW]
[ROW][C]0.91[/C][C]-2.33078107415994[/C][C]0.871669153513152[/C][/ROW]
[ROW][C]0.92[/C][C]-2.01457945231466[/C][C]0.887810923422178[/C][/ROW]
[ROW][C]0.93[/C][C]-1.66000042888216[/C][C]0.936642069831115[/C][/ROW]
[ROW][C]0.94[/C][C]-1.25507343163378[/C][C]1.01709067691819[/C][/ROW]
[ROW][C]0.95[/C][C]-0.795940180564075[/C][C]1.09824612508833[/C][/ROW]
[ROW][C]0.96[/C][C]-0.29813897596793[/C][C]1.12190391701336[/C][/ROW]
[ROW][C]0.97[/C][C]0.194237817212751[/C][C]1.01810114281516[/C][/ROW]
[ROW][C]0.98[/C][C]0.611876834292981[/C][C]0.74015883483783[/C][/ROW]
[ROW][C]0.99[/C][C]0.887103343079621[/C][C]0.334551959114455[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277524&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277524&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
0.01-24.74691428200910.752429152365375
0.02-24.42003703283570.485837093750669
0.03-24.13349797385020.379119046789549
0.04-23.88532667187380.517388536353565
0.05-23.62002926954030.797020489870232
0.06-23.29141366894361.11468286991336
0.07-22.88431749324671.39765981155215
0.08-22.41060045044681.59704242246458
0.09-21.89697626169941.69409070273104
0.1-21.3732008398111.69878375573165
0.11-20.86379755112721.6401465562094
0.12-20.38413717676861.55301529064989
0.13-19.94031260806491.46651608122939
0.14-19.53142466458021.39739290928399
0.15-19.15271026342821.34956960556874
0.16-18.7982995309431.31850249117345
0.17-18.46298992822451.29673048698498
0.18-18.14297761223271.27809396627289
0.19-17.83582335694281.25923582286731
0.2-17.54003240484161.23950000752996
0.21-17.25456592315341.21999441802475
0.22-16.97847142786351.20250323721899
0.23-16.71069412356331.18860728206504
0.24-16.45004718386031.17922079917193
0.25-16.1952820654381.17447380032637
0.26-15.94519821238841.17384043117001
0.27-15.69874834374621.17629148591127
0.28-15.45511696376731.18058731013384
0.29-15.21376723329971.18536464193613
0.3-14.97446148580971.18925734092242
0.31-14.73726366963581.19087114706388
0.32-14.50252995792151.18883702933377
0.33-14.27088936128551.18184340512414
0.34-14.04321181023771.1686705582097
0.35-13.8205585823521.14834902963098
0.36-13.60411007479021.12032559297752
0.37-13.3950689102161.0845626384262
0.38-13.1945416171791.04174513955972
0.39-13.00340842564960.993339162878555
0.4-12.82219644146380.94155538752465
0.41-12.65097492387510.889315765240876
0.42-12.48929126514760.839934241167157
0.43-12.33616200816520.796855710544316
0.44-12.19012530971940.763161217832583
0.45-12.04935114416210.741127921907733
0.46-11.91179541250110.73178591532047
0.47-11.77537627529760.734762595405597
0.48-11.63814726741080.748379196229179
0.49-11.49844288730440.770095874236125
0.5-11.35497799112890.796998787078106
0.51-11.20689102164560.826302242944061
0.52-11.05373082735360.855660070670635
0.53-10.89539553579410.88335572658525
0.54-10.73203812077650.908369643450009
0.55-10.56395626171990.930388127166824
0.56-10.3914839881580.949664262375438
0.57-10.21490016976610.966919747486916
0.58-10.0343650785720.983110683933342
0.59-9.849891768697210.99926747322846
0.6-9.661354276923591.01624941243289
0.61-9.468529710636041.03459453964496
0.62-9.271166158607131.05431495528154
0.63-9.069063311512251.07487329931902
0.64-8.862148519523711.09520029565797
0.65-8.650529078918391.1138714457654
0.66-8.434503355157861.12941525531519
0.67-8.214520018543181.14068762209893
0.68-7.991086171004361.14724008793159
0.69-7.764639843336641.14957600678339
0.7-7.535416954662551.1491838355666
0.71-7.303352958612591.14831772375056
0.72-7.06806061236261.14941055163387
0.73-6.828914432519281.15434134682334
0.74-6.585248858694411.1635970127291
0.75-6.336643896155391.17571403759835
0.76-6.083235960817311.18718667774167
0.77-5.825963154227571.1930037872333
0.78-5.56664528563941.18778405527145
0.79-5.307820044276451.16720260994074
0.8-5.052311974416431.12950767598213
0.81-4.80259346431631.07657680792056
0.82-4.560086226309661.01430509784014
0.83-4.324615294655370.951849433627639
0.84-4.094229358681730.899578439894105
0.85-3.865515436245290.865733067724615
0.86-3.634362828610360.852826382163707
0.87-3.396910459777650.856082531889491
0.88-3.150225628862370.865705892014196
0.89-2.892224777913720.872132273069332
0.9-2.62056800196030.871879965942326
0.91-2.330781074159940.871669153513152
0.92-2.014579452314660.887810923422178
0.93-1.660000428882160.936642069831115
0.94-1.255073431633781.01709067691819
0.95-0.7959401805640751.09824612508833
0.96-0.298138975967931.12190391701336
0.970.1942378172127511.01810114281516
0.980.6118768342929810.74015883483783
0.990.8871033430796210.334551959114455


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')