Free Statistics

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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 computationSun, 26 Oct 2008 04:14:34 -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/2008/Oct/26/t1225016161twfsucnwcxga8u2.htm/, Retrieved Sun, 19 May 2024 15:22:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18837, Retrieved Sun, 19 May 2024 15:22:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Tukey lambda tot ...] [2008-10-24 09:02:28] [e1a46c1dcfccb0cb690f79a1a409b517]
F RMPD  [Univariate Explorative Data Analysis] [Univariate Explor...] [2008-10-24 12:02:31] [e1a46c1dcfccb0cb690f79a1a409b517]
-   PD    [Univariate Explorative Data Analysis] [UEDA - Vlaams gew...] [2008-10-26 09:55:38] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP         [Harrell-Davis Quantiles] [Harrell-Davis - V...] [2008-10-26 10:14:34] [b23db733701c4d62df5e228d507c1c6a] [Current]
-    D          [Harrell-Davis Quantiles] [Harrell-Davis - B...] [2008-10-26 17:55:06] [74be16979710d4c4e7c6647856088456]
F    D          [Harrell-Davis Quantiles] [Harrell-Davis - B...] [2008-10-26 17:55:06] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F    D          [Harrell-Davis Quantiles] [Taak 3 Q9] [2008-10-27 08:18:25] [29647dffafb5b58c12a48dbf6cba2b57]
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Dataseries X:
0.385274748
0.381257491
0.384269306
0.384535633
0.3808246
0.377188781
0.37535941
0.373115667
0.375267632
0.406847169
0.426199688
0.397190396
0.399886149
0.393113384
0.39838006
0.398133245
0.390841886
0.388728808
0.386805095
0.382658744
0.385661163
0.413132818
0.422725018
0.395751888
0.393901819
0.385024286
0.388191399
0.369521476
0.371671593
0.366696045
0.374031922
0.368629916
0.369072262
0.38744478
0.384519877
0.37195362
0.355320145
0.349844982
0.349192677
0.347109045
0.338315836
0.334991621
0.328202632
0.327376829
0.337007833
0.364266911
0.358468343
0.336958629
0.329132753
0.326459362
0.33309545
0.328291309
0.32347245
0.328677972
0.325577316
0.321718862
0.331073328
0.353023114
0.350585656
0.336580139




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18837&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18837&T=0

As an alternative you can also use a 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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.3219186159150350.00173132039258377
0.0150.3225818031470860.00177529773542492
0.0250.3234409267748420.00182109529875884
0.0350.3243277093226950.00179864646940553
0.0450.3251469658168660.00170442492651492
0.0550.3258669737150470.00158445545660790
0.0650.3264920242994890.00148574591607302
0.0750.3270424807982910.00143922216036078
0.0850.3275443616391650.00146576255674185
0.0950.3280244703932360.00157636224331154
0.1050.328507894802660.00177300192669792
0.1150.3290163428262300.00204219598702141
0.1250.3295668796048310.00236273583792617
0.1350.3301711722800220.0027091311159933
0.1450.3308354751955500.00305945905660749
0.1550.3315614394703430.00339947719165245
0.1650.3323475778818580.00372410885980752
0.1750.3331910101876660.00403727437405321
0.1850.3340890426272330.00435048359394761
0.1950.3350402113187230.00467627965836721
0.2050.3360446003671980.00502492489613995
0.2150.3371034631221840.00539876126360103
0.2250.3382183606421470.00579179994628192
0.2350.3393901358236830.00618907542073487
0.2450.340618045226230.0065749267142639
0.2550.3418992844786490.0069309297050824
0.2650.3432290020873980.00724463211069007
0.2750.3446007464269320.00750978499061197
0.2850.3460071746298940.0077271200560369
0.2950.3474407982729080.00790163930729072
0.3050.3488945566163920.00804143202904371
0.3150.3503620808726990.00815467865944676
0.3250.3518376156793170.00824470722185158
0.3350.3533156650907160.00831094232952873
0.3450.354790503041930.00834626371576753
0.3550.3562557166741540.00834108930747303
0.3650.3577039331535410.00828474375903194
0.3750.3591268267568110.0081683162137718
0.3850.3605154306923040.0079858650774485
0.3950.3618607068796790.00773840569447206
0.4050.3631542729563840.0074321243726834
0.4150.3643891587132770.00707863451305676
0.4250.3655604658674240.00669374030342149
0.4350.3666658307165050.00629592686748664
0.4450.3677056296279430.00590521380608292
0.4550.3686829119643850.00553874105392462
0.4650.3696030846944400.00521186577309499
0.4750.3704734014398910.00493594353777646
0.4850.3713023237113080.00471773032779315
0.4950.3720988246475940.00455794446756946
0.5050.3728716990704290.00445392268661851
0.5150.3736289323258010.00439794782084625
0.5250.3743771679813520.00437931679018447
0.5350.3751213033890730.00438416283301231
0.5450.3758642331530020.00440002317434821
0.5550.3766067530043780.0044114632505615
0.5650.3773476290794650.00440696543319822
0.5750.3780838287618040.00437441755634002
0.5850.3788108984553680.00430726416969193
0.5950.3795234613487610.00420068014829531
0.6050.3802157959292880.00405470721018292
0.6150.380882445919180.00387201269983934
0.6250.3815188067450220.00365979178179057
0.6350.3821216343827360.00342825582599575
0.6450.382689430142610.00318858587102887
0.6550.3832226690157610.00295401848698306
0.6650.3837238576026440.00273653245321469
0.6750.3841974273770320.00254944937166003
0.6850.3846494866506930.00240215568706103
0.6950.3850874669204550.00230213012808307
0.7050.3855197041612800.00225278276258509
0.7150.3859549925927430.00225507802469261
0.7250.3864021389768740.00230577201075866
0.7350.3868695329035450.00239936445190237
0.7450.3873647372199540.00252876833768755
0.7550.3878940972104130.00268436293628906
0.7650.3884623705277210.00285601961887552
0.7750.3890723932005890.00303277630918912
0.7850.3897248188296340.00320143037168466
0.7950.3904179950678090.00334941018553148
0.8050.3911480697041160.00346525810694671
0.8150.3919094441210810.00353954448441837
0.8250.3926957094768940.00356664021536250
0.8350.3935012012719820.00354749128059661
0.8450.3943232732211710.00349239845293942
0.8550.3951652943840050.00342321470431716
0.8650.3960401854114660.00337654230142676
0.8750.3969740200345810.00340607101949082
0.8850.3980088617540960.00357785633020859
0.8950.3992036785136040.00395354630214159
0.9050.4006320075278130.00456414504424717
0.9150.4023751080776950.0053911450203531
0.9250.404509602023350.00636213712057698
0.9350.4070889735488480.00735441998167511
0.9450.4101189308923260.00819468005335361
0.9550.4135281246660230.0086536534694484
0.9650.4171388063403890.00845696977534052
0.9750.42064737130920.00739069434278572
0.9850.423635261547330.00559333993553223

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 0.321918615915035 & 0.00173132039258377 \tabularnewline
0.015 & 0.322581803147086 & 0.00177529773542492 \tabularnewline
0.025 & 0.323440926774842 & 0.00182109529875884 \tabularnewline
0.035 & 0.324327709322695 & 0.00179864646940553 \tabularnewline
0.045 & 0.325146965816866 & 0.00170442492651492 \tabularnewline
0.055 & 0.325866973715047 & 0.00158445545660790 \tabularnewline
0.065 & 0.326492024299489 & 0.00148574591607302 \tabularnewline
0.075 & 0.327042480798291 & 0.00143922216036078 \tabularnewline
0.085 & 0.327544361639165 & 0.00146576255674185 \tabularnewline
0.095 & 0.328024470393236 & 0.00157636224331154 \tabularnewline
0.105 & 0.32850789480266 & 0.00177300192669792 \tabularnewline
0.115 & 0.329016342826230 & 0.00204219598702141 \tabularnewline
0.125 & 0.329566879604831 & 0.00236273583792617 \tabularnewline
0.135 & 0.330171172280022 & 0.0027091311159933 \tabularnewline
0.145 & 0.330835475195550 & 0.00305945905660749 \tabularnewline
0.155 & 0.331561439470343 & 0.00339947719165245 \tabularnewline
0.165 & 0.332347577881858 & 0.00372410885980752 \tabularnewline
0.175 & 0.333191010187666 & 0.00403727437405321 \tabularnewline
0.185 & 0.334089042627233 & 0.00435048359394761 \tabularnewline
0.195 & 0.335040211318723 & 0.00467627965836721 \tabularnewline
0.205 & 0.336044600367198 & 0.00502492489613995 \tabularnewline
0.215 & 0.337103463122184 & 0.00539876126360103 \tabularnewline
0.225 & 0.338218360642147 & 0.00579179994628192 \tabularnewline
0.235 & 0.339390135823683 & 0.00618907542073487 \tabularnewline
0.245 & 0.34061804522623 & 0.0065749267142639 \tabularnewline
0.255 & 0.341899284478649 & 0.0069309297050824 \tabularnewline
0.265 & 0.343229002087398 & 0.00724463211069007 \tabularnewline
0.275 & 0.344600746426932 & 0.00750978499061197 \tabularnewline
0.285 & 0.346007174629894 & 0.0077271200560369 \tabularnewline
0.295 & 0.347440798272908 & 0.00790163930729072 \tabularnewline
0.305 & 0.348894556616392 & 0.00804143202904371 \tabularnewline
0.315 & 0.350362080872699 & 0.00815467865944676 \tabularnewline
0.325 & 0.351837615679317 & 0.00824470722185158 \tabularnewline
0.335 & 0.353315665090716 & 0.00831094232952873 \tabularnewline
0.345 & 0.35479050304193 & 0.00834626371576753 \tabularnewline
0.355 & 0.356255716674154 & 0.00834108930747303 \tabularnewline
0.365 & 0.357703933153541 & 0.00828474375903194 \tabularnewline
0.375 & 0.359126826756811 & 0.0081683162137718 \tabularnewline
0.385 & 0.360515430692304 & 0.0079858650774485 \tabularnewline
0.395 & 0.361860706879679 & 0.00773840569447206 \tabularnewline
0.405 & 0.363154272956384 & 0.0074321243726834 \tabularnewline
0.415 & 0.364389158713277 & 0.00707863451305676 \tabularnewline
0.425 & 0.365560465867424 & 0.00669374030342149 \tabularnewline
0.435 & 0.366665830716505 & 0.00629592686748664 \tabularnewline
0.445 & 0.367705629627943 & 0.00590521380608292 \tabularnewline
0.455 & 0.368682911964385 & 0.00553874105392462 \tabularnewline
0.465 & 0.369603084694440 & 0.00521186577309499 \tabularnewline
0.475 & 0.370473401439891 & 0.00493594353777646 \tabularnewline
0.485 & 0.371302323711308 & 0.00471773032779315 \tabularnewline
0.495 & 0.372098824647594 & 0.00455794446756946 \tabularnewline
0.505 & 0.372871699070429 & 0.00445392268661851 \tabularnewline
0.515 & 0.373628932325801 & 0.00439794782084625 \tabularnewline
0.525 & 0.374377167981352 & 0.00437931679018447 \tabularnewline
0.535 & 0.375121303389073 & 0.00438416283301231 \tabularnewline
0.545 & 0.375864233153002 & 0.00440002317434821 \tabularnewline
0.555 & 0.376606753004378 & 0.0044114632505615 \tabularnewline
0.565 & 0.377347629079465 & 0.00440696543319822 \tabularnewline
0.575 & 0.378083828761804 & 0.00437441755634002 \tabularnewline
0.585 & 0.378810898455368 & 0.00430726416969193 \tabularnewline
0.595 & 0.379523461348761 & 0.00420068014829531 \tabularnewline
0.605 & 0.380215795929288 & 0.00405470721018292 \tabularnewline
0.615 & 0.38088244591918 & 0.00387201269983934 \tabularnewline
0.625 & 0.381518806745022 & 0.00365979178179057 \tabularnewline
0.635 & 0.382121634382736 & 0.00342825582599575 \tabularnewline
0.645 & 0.38268943014261 & 0.00318858587102887 \tabularnewline
0.655 & 0.383222669015761 & 0.00295401848698306 \tabularnewline
0.665 & 0.383723857602644 & 0.00273653245321469 \tabularnewline
0.675 & 0.384197427377032 & 0.00254944937166003 \tabularnewline
0.685 & 0.384649486650693 & 0.00240215568706103 \tabularnewline
0.695 & 0.385087466920455 & 0.00230213012808307 \tabularnewline
0.705 & 0.385519704161280 & 0.00225278276258509 \tabularnewline
0.715 & 0.385954992592743 & 0.00225507802469261 \tabularnewline
0.725 & 0.386402138976874 & 0.00230577201075866 \tabularnewline
0.735 & 0.386869532903545 & 0.00239936445190237 \tabularnewline
0.745 & 0.387364737219954 & 0.00252876833768755 \tabularnewline
0.755 & 0.387894097210413 & 0.00268436293628906 \tabularnewline
0.765 & 0.388462370527721 & 0.00285601961887552 \tabularnewline
0.775 & 0.389072393200589 & 0.00303277630918912 \tabularnewline
0.785 & 0.389724818829634 & 0.00320143037168466 \tabularnewline
0.795 & 0.390417995067809 & 0.00334941018553148 \tabularnewline
0.805 & 0.391148069704116 & 0.00346525810694671 \tabularnewline
0.815 & 0.391909444121081 & 0.00353954448441837 \tabularnewline
0.825 & 0.392695709476894 & 0.00356664021536250 \tabularnewline
0.835 & 0.393501201271982 & 0.00354749128059661 \tabularnewline
0.845 & 0.394323273221171 & 0.00349239845293942 \tabularnewline
0.855 & 0.395165294384005 & 0.00342321470431716 \tabularnewline
0.865 & 0.396040185411466 & 0.00337654230142676 \tabularnewline
0.875 & 0.396974020034581 & 0.00340607101949082 \tabularnewline
0.885 & 0.398008861754096 & 0.00357785633020859 \tabularnewline
0.895 & 0.399203678513604 & 0.00395354630214159 \tabularnewline
0.905 & 0.400632007527813 & 0.00456414504424717 \tabularnewline
0.915 & 0.402375108077695 & 0.0053911450203531 \tabularnewline
0.925 & 0.40450960202335 & 0.00636213712057698 \tabularnewline
0.935 & 0.407088973548848 & 0.00735441998167511 \tabularnewline
0.945 & 0.410118930892326 & 0.00819468005335361 \tabularnewline
0.955 & 0.413528124666023 & 0.0086536534694484 \tabularnewline
0.965 & 0.417138806340389 & 0.00845696977534052 \tabularnewline
0.975 & 0.4206473713092 & 0.00739069434278572 \tabularnewline
0.985 & 0.42363526154733 & 0.00559333993553223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18837&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]0.321918615915035[/C][C]0.00173132039258377[/C][/ROW]
[ROW][C]0.015[/C][C]0.322581803147086[/C][C]0.00177529773542492[/C][/ROW]
[ROW][C]0.025[/C][C]0.323440926774842[/C][C]0.00182109529875884[/C][/ROW]
[ROW][C]0.035[/C][C]0.324327709322695[/C][C]0.00179864646940553[/C][/ROW]
[ROW][C]0.045[/C][C]0.325146965816866[/C][C]0.00170442492651492[/C][/ROW]
[ROW][C]0.055[/C][C]0.325866973715047[/C][C]0.00158445545660790[/C][/ROW]
[ROW][C]0.065[/C][C]0.326492024299489[/C][C]0.00148574591607302[/C][/ROW]
[ROW][C]0.075[/C][C]0.327042480798291[/C][C]0.00143922216036078[/C][/ROW]
[ROW][C]0.085[/C][C]0.327544361639165[/C][C]0.00146576255674185[/C][/ROW]
[ROW][C]0.095[/C][C]0.328024470393236[/C][C]0.00157636224331154[/C][/ROW]
[ROW][C]0.105[/C][C]0.32850789480266[/C][C]0.00177300192669792[/C][/ROW]
[ROW][C]0.115[/C][C]0.329016342826230[/C][C]0.00204219598702141[/C][/ROW]
[ROW][C]0.125[/C][C]0.329566879604831[/C][C]0.00236273583792617[/C][/ROW]
[ROW][C]0.135[/C][C]0.330171172280022[/C][C]0.0027091311159933[/C][/ROW]
[ROW][C]0.145[/C][C]0.330835475195550[/C][C]0.00305945905660749[/C][/ROW]
[ROW][C]0.155[/C][C]0.331561439470343[/C][C]0.00339947719165245[/C][/ROW]
[ROW][C]0.165[/C][C]0.332347577881858[/C][C]0.00372410885980752[/C][/ROW]
[ROW][C]0.175[/C][C]0.333191010187666[/C][C]0.00403727437405321[/C][/ROW]
[ROW][C]0.185[/C][C]0.334089042627233[/C][C]0.00435048359394761[/C][/ROW]
[ROW][C]0.195[/C][C]0.335040211318723[/C][C]0.00467627965836721[/C][/ROW]
[ROW][C]0.205[/C][C]0.336044600367198[/C][C]0.00502492489613995[/C][/ROW]
[ROW][C]0.215[/C][C]0.337103463122184[/C][C]0.00539876126360103[/C][/ROW]
[ROW][C]0.225[/C][C]0.338218360642147[/C][C]0.00579179994628192[/C][/ROW]
[ROW][C]0.235[/C][C]0.339390135823683[/C][C]0.00618907542073487[/C][/ROW]
[ROW][C]0.245[/C][C]0.34061804522623[/C][C]0.0065749267142639[/C][/ROW]
[ROW][C]0.255[/C][C]0.341899284478649[/C][C]0.0069309297050824[/C][/ROW]
[ROW][C]0.265[/C][C]0.343229002087398[/C][C]0.00724463211069007[/C][/ROW]
[ROW][C]0.275[/C][C]0.344600746426932[/C][C]0.00750978499061197[/C][/ROW]
[ROW][C]0.285[/C][C]0.346007174629894[/C][C]0.0077271200560369[/C][/ROW]
[ROW][C]0.295[/C][C]0.347440798272908[/C][C]0.00790163930729072[/C][/ROW]
[ROW][C]0.305[/C][C]0.348894556616392[/C][C]0.00804143202904371[/C][/ROW]
[ROW][C]0.315[/C][C]0.350362080872699[/C][C]0.00815467865944676[/C][/ROW]
[ROW][C]0.325[/C][C]0.351837615679317[/C][C]0.00824470722185158[/C][/ROW]
[ROW][C]0.335[/C][C]0.353315665090716[/C][C]0.00831094232952873[/C][/ROW]
[ROW][C]0.345[/C][C]0.35479050304193[/C][C]0.00834626371576753[/C][/ROW]
[ROW][C]0.355[/C][C]0.356255716674154[/C][C]0.00834108930747303[/C][/ROW]
[ROW][C]0.365[/C][C]0.357703933153541[/C][C]0.00828474375903194[/C][/ROW]
[ROW][C]0.375[/C][C]0.359126826756811[/C][C]0.0081683162137718[/C][/ROW]
[ROW][C]0.385[/C][C]0.360515430692304[/C][C]0.0079858650774485[/C][/ROW]
[ROW][C]0.395[/C][C]0.361860706879679[/C][C]0.00773840569447206[/C][/ROW]
[ROW][C]0.405[/C][C]0.363154272956384[/C][C]0.0074321243726834[/C][/ROW]
[ROW][C]0.415[/C][C]0.364389158713277[/C][C]0.00707863451305676[/C][/ROW]
[ROW][C]0.425[/C][C]0.365560465867424[/C][C]0.00669374030342149[/C][/ROW]
[ROW][C]0.435[/C][C]0.366665830716505[/C][C]0.00629592686748664[/C][/ROW]
[ROW][C]0.445[/C][C]0.367705629627943[/C][C]0.00590521380608292[/C][/ROW]
[ROW][C]0.455[/C][C]0.368682911964385[/C][C]0.00553874105392462[/C][/ROW]
[ROW][C]0.465[/C][C]0.369603084694440[/C][C]0.00521186577309499[/C][/ROW]
[ROW][C]0.475[/C][C]0.370473401439891[/C][C]0.00493594353777646[/C][/ROW]
[ROW][C]0.485[/C][C]0.371302323711308[/C][C]0.00471773032779315[/C][/ROW]
[ROW][C]0.495[/C][C]0.372098824647594[/C][C]0.00455794446756946[/C][/ROW]
[ROW][C]0.505[/C][C]0.372871699070429[/C][C]0.00445392268661851[/C][/ROW]
[ROW][C]0.515[/C][C]0.373628932325801[/C][C]0.00439794782084625[/C][/ROW]
[ROW][C]0.525[/C][C]0.374377167981352[/C][C]0.00437931679018447[/C][/ROW]
[ROW][C]0.535[/C][C]0.375121303389073[/C][C]0.00438416283301231[/C][/ROW]
[ROW][C]0.545[/C][C]0.375864233153002[/C][C]0.00440002317434821[/C][/ROW]
[ROW][C]0.555[/C][C]0.376606753004378[/C][C]0.0044114632505615[/C][/ROW]
[ROW][C]0.565[/C][C]0.377347629079465[/C][C]0.00440696543319822[/C][/ROW]
[ROW][C]0.575[/C][C]0.378083828761804[/C][C]0.00437441755634002[/C][/ROW]
[ROW][C]0.585[/C][C]0.378810898455368[/C][C]0.00430726416969193[/C][/ROW]
[ROW][C]0.595[/C][C]0.379523461348761[/C][C]0.00420068014829531[/C][/ROW]
[ROW][C]0.605[/C][C]0.380215795929288[/C][C]0.00405470721018292[/C][/ROW]
[ROW][C]0.615[/C][C]0.38088244591918[/C][C]0.00387201269983934[/C][/ROW]
[ROW][C]0.625[/C][C]0.381518806745022[/C][C]0.00365979178179057[/C][/ROW]
[ROW][C]0.635[/C][C]0.382121634382736[/C][C]0.00342825582599575[/C][/ROW]
[ROW][C]0.645[/C][C]0.38268943014261[/C][C]0.00318858587102887[/C][/ROW]
[ROW][C]0.655[/C][C]0.383222669015761[/C][C]0.00295401848698306[/C][/ROW]
[ROW][C]0.665[/C][C]0.383723857602644[/C][C]0.00273653245321469[/C][/ROW]
[ROW][C]0.675[/C][C]0.384197427377032[/C][C]0.00254944937166003[/C][/ROW]
[ROW][C]0.685[/C][C]0.384649486650693[/C][C]0.00240215568706103[/C][/ROW]
[ROW][C]0.695[/C][C]0.385087466920455[/C][C]0.00230213012808307[/C][/ROW]
[ROW][C]0.705[/C][C]0.385519704161280[/C][C]0.00225278276258509[/C][/ROW]
[ROW][C]0.715[/C][C]0.385954992592743[/C][C]0.00225507802469261[/C][/ROW]
[ROW][C]0.725[/C][C]0.386402138976874[/C][C]0.00230577201075866[/C][/ROW]
[ROW][C]0.735[/C][C]0.386869532903545[/C][C]0.00239936445190237[/C][/ROW]
[ROW][C]0.745[/C][C]0.387364737219954[/C][C]0.00252876833768755[/C][/ROW]
[ROW][C]0.755[/C][C]0.387894097210413[/C][C]0.00268436293628906[/C][/ROW]
[ROW][C]0.765[/C][C]0.388462370527721[/C][C]0.00285601961887552[/C][/ROW]
[ROW][C]0.775[/C][C]0.389072393200589[/C][C]0.00303277630918912[/C][/ROW]
[ROW][C]0.785[/C][C]0.389724818829634[/C][C]0.00320143037168466[/C][/ROW]
[ROW][C]0.795[/C][C]0.390417995067809[/C][C]0.00334941018553148[/C][/ROW]
[ROW][C]0.805[/C][C]0.391148069704116[/C][C]0.00346525810694671[/C][/ROW]
[ROW][C]0.815[/C][C]0.391909444121081[/C][C]0.00353954448441837[/C][/ROW]
[ROW][C]0.825[/C][C]0.392695709476894[/C][C]0.00356664021536250[/C][/ROW]
[ROW][C]0.835[/C][C]0.393501201271982[/C][C]0.00354749128059661[/C][/ROW]
[ROW][C]0.845[/C][C]0.394323273221171[/C][C]0.00349239845293942[/C][/ROW]
[ROW][C]0.855[/C][C]0.395165294384005[/C][C]0.00342321470431716[/C][/ROW]
[ROW][C]0.865[/C][C]0.396040185411466[/C][C]0.00337654230142676[/C][/ROW]
[ROW][C]0.875[/C][C]0.396974020034581[/C][C]0.00340607101949082[/C][/ROW]
[ROW][C]0.885[/C][C]0.398008861754096[/C][C]0.00357785633020859[/C][/ROW]
[ROW][C]0.895[/C][C]0.399203678513604[/C][C]0.00395354630214159[/C][/ROW]
[ROW][C]0.905[/C][C]0.400632007527813[/C][C]0.00456414504424717[/C][/ROW]
[ROW][C]0.915[/C][C]0.402375108077695[/C][C]0.0053911450203531[/C][/ROW]
[ROW][C]0.925[/C][C]0.40450960202335[/C][C]0.00636213712057698[/C][/ROW]
[ROW][C]0.935[/C][C]0.407088973548848[/C][C]0.00735441998167511[/C][/ROW]
[ROW][C]0.945[/C][C]0.410118930892326[/C][C]0.00819468005335361[/C][/ROW]
[ROW][C]0.955[/C][C]0.413528124666023[/C][C]0.0086536534694484[/C][/ROW]
[ROW][C]0.965[/C][C]0.417138806340389[/C][C]0.00845696977534052[/C][/ROW]
[ROW][C]0.975[/C][C]0.4206473713092[/C][C]0.00739069434278572[/C][/ROW]
[ROW][C]0.985[/C][C]0.42363526154733[/C][C]0.00559333993553223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18837&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.3219186159150350.00173132039258377
0.0150.3225818031470860.00177529773542492
0.0250.3234409267748420.00182109529875884
0.0350.3243277093226950.00179864646940553
0.0450.3251469658168660.00170442492651492
0.0550.3258669737150470.00158445545660790
0.0650.3264920242994890.00148574591607302
0.0750.3270424807982910.00143922216036078
0.0850.3275443616391650.00146576255674185
0.0950.3280244703932360.00157636224331154
0.1050.328507894802660.00177300192669792
0.1150.3290163428262300.00204219598702141
0.1250.3295668796048310.00236273583792617
0.1350.3301711722800220.0027091311159933
0.1450.3308354751955500.00305945905660749
0.1550.3315614394703430.00339947719165245
0.1650.3323475778818580.00372410885980752
0.1750.3331910101876660.00403727437405321
0.1850.3340890426272330.00435048359394761
0.1950.3350402113187230.00467627965836721
0.2050.3360446003671980.00502492489613995
0.2150.3371034631221840.00539876126360103
0.2250.3382183606421470.00579179994628192
0.2350.3393901358236830.00618907542073487
0.2450.340618045226230.0065749267142639
0.2550.3418992844786490.0069309297050824
0.2650.3432290020873980.00724463211069007
0.2750.3446007464269320.00750978499061197
0.2850.3460071746298940.0077271200560369
0.2950.3474407982729080.00790163930729072
0.3050.3488945566163920.00804143202904371
0.3150.3503620808726990.00815467865944676
0.3250.3518376156793170.00824470722185158
0.3350.3533156650907160.00831094232952873
0.3450.354790503041930.00834626371576753
0.3550.3562557166741540.00834108930747303
0.3650.3577039331535410.00828474375903194
0.3750.3591268267568110.0081683162137718
0.3850.3605154306923040.0079858650774485
0.3950.3618607068796790.00773840569447206
0.4050.3631542729563840.0074321243726834
0.4150.3643891587132770.00707863451305676
0.4250.3655604658674240.00669374030342149
0.4350.3666658307165050.00629592686748664
0.4450.3677056296279430.00590521380608292
0.4550.3686829119643850.00553874105392462
0.4650.3696030846944400.00521186577309499
0.4750.3704734014398910.00493594353777646
0.4850.3713023237113080.00471773032779315
0.4950.3720988246475940.00455794446756946
0.5050.3728716990704290.00445392268661851
0.5150.3736289323258010.00439794782084625
0.5250.3743771679813520.00437931679018447
0.5350.3751213033890730.00438416283301231
0.5450.3758642331530020.00440002317434821
0.5550.3766067530043780.0044114632505615
0.5650.3773476290794650.00440696543319822
0.5750.3780838287618040.00437441755634002
0.5850.3788108984553680.00430726416969193
0.5950.3795234613487610.00420068014829531
0.6050.3802157959292880.00405470721018292
0.6150.380882445919180.00387201269983934
0.6250.3815188067450220.00365979178179057
0.6350.3821216343827360.00342825582599575
0.6450.382689430142610.00318858587102887
0.6550.3832226690157610.00295401848698306
0.6650.3837238576026440.00273653245321469
0.6750.3841974273770320.00254944937166003
0.6850.3846494866506930.00240215568706103
0.6950.3850874669204550.00230213012808307
0.7050.3855197041612800.00225278276258509
0.7150.3859549925927430.00225507802469261
0.7250.3864021389768740.00230577201075866
0.7350.3868695329035450.00239936445190237
0.7450.3873647372199540.00252876833768755
0.7550.3878940972104130.00268436293628906
0.7650.3884623705277210.00285601961887552
0.7750.3890723932005890.00303277630918912
0.7850.3897248188296340.00320143037168466
0.7950.3904179950678090.00334941018553148
0.8050.3911480697041160.00346525810694671
0.8150.3919094441210810.00353954448441837
0.8250.3926957094768940.00356664021536250
0.8350.3935012012719820.00354749128059661
0.8450.3943232732211710.00349239845293942
0.8550.3951652943840050.00342321470431716
0.8650.3960401854114660.00337654230142676
0.8750.3969740200345810.00340607101949082
0.8850.3980088617540960.00357785633020859
0.8950.3992036785136040.00395354630214159
0.9050.4006320075278130.00456414504424717
0.9150.4023751080776950.0053911450203531
0.9250.404509602023350.00636213712057698
0.9350.4070889735488480.00735441998167511
0.9450.4101189308923260.00819468005335361
0.9550.4135281246660230.0086536534694484
0.9650.4171388063403890.00845696977534052
0.9750.42064737130920.00739069434278572
0.9850.423635261547330.00559333993553223



Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')