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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 computationFri, 26 Feb 2016 20:56:33 +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/Feb/26/t1456520228115uv1ekx2rbzca.htm/, Retrieved Wed, 11 Feb 2026 11:36:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292802, Retrieved Wed, 11 Feb 2026 11:36:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact284

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] [Harrell-Davis pri...] [2016-02-26 20:56:33] [b54f462b245e496e54620f8b97639ccc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.49
92.46
92.55
92.24
92.41
92.83
92.85
93.04
93.04
92.83
92.96
92.83
93.01
93.21
93.58
94.07
94.57
95.03
95.21
95.89
96.43
96.35
96.71
96.32
97.23
97.88
98.2
98.56
99.31
99.69
99.77
101.06
101.77
101.91
102.52
102.09
102.22
102.74
103.56
104.4
104.76
104.86
104.84
104.96
104.83
104.58
104.8
104.17
104.63
105.32
106.16
107.22
107.51
107.87
107.79
108.04
107.74
107.71
111.19
110.82

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292802&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292802&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292802&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.27806059024330.144456079228458
0.0292.33317945744450.117416606190446
0.0392.39053285855070.101850585599175
0.0492.44375058123650.104732268764704
0.0592.49327126641390.120500287539577
0.0692.54157418200130.139372832981418
0.0792.59021651434380.15405240742948
0.0892.63919320853720.16122904048382
0.0992.6875407168710.160958275116718
0.192.73420733617680.156275828022889
0.1192.7786972485820.151540885772417
0.1292.82136017940390.151509510393662
0.1392.86338748936650.160257402229554
0.1492.90663898313910.180334308362235
0.1592.95341336641920.213136223904542
0.1693.00623028780780.258867619508415
0.1793.06764530542350.31749372906404
0.1893.14008992151930.388257722288023
0.1993.22572155540690.469275287899267
0.293.32627685501660.558628993816045
0.2193.44293579063950.652486440488856
0.2293.57621465966280.747321911562018
0.2393.72590886747820.839136030014199
0.2493.89110100006580.923986154248305
0.2594.07023911140390.998858720832639
0.2694.26127819569311.06150230521712
0.2794.4618678451741.11077454103597
0.2894.66956307759131.14680087415923
0.2994.88203373183741.17057883933575
0.395.097250041721.18437242265603
0.3195.31362682300251.19107739856784
0.3295.53011491285261.19395693985368
0.3395.74623508581471.19646056620734
0.3495.9620559406741.20184294388313
0.3596.17812273108371.21263398544819
0.3696.39534842187441.23080103747893
0.3796.61488105174461.25689475401474
0.3896.83796249945391.29090442371167
0.3997.06579288359821.33205711477329
0.497.29941225323571.3782585908292
0.4197.53960744776531.42776131533726
0.4297.7868477773981.4781522561338
0.4398.04124934918571.52729519936888
0.4498.30256515554771.57300895043852
0.4598.57019683523071.61331666902563
0.4698.84322424388851.6465692440629
0.4799.12045013513231.67113362958662
0.4899.40045857636021.68583692575513
0.4999.68168639609161.68998158636753
0.599.96250640158781.68313212736817
0.51100.2413191767941.6654940136333
0.52100.5166473534531.63811862896176
0.53100.7872231772711.60235050666634
0.54101.0520580396461.56045253077648
0.55101.3104824226321.51482227836407
0.56101.5621470425521.46777661208397
0.57101.8069808983781.42158347855782
0.58102.0451087647251.37762006693041
0.59102.2767381552321.33654141377168
0.6102.5020323389341.29767003366583
0.61102.7209900952881.25969517564607
0.62102.9333534627771.22020063424767
0.63103.1385614316881.17690256582226
0.64103.3357608735241.12761790468729
0.65103.523877267251.07082713819071
0.66103.7017387161291.00595422697755
0.67103.8682391167340.933740522168355
0.68104.0225214903730.855668156980098
0.69104.164160992210.77479172327625
0.7104.2933286357480.694408485586598
0.71104.4109201710110.618920263816457
0.72104.5186382608220.552908637543619
0.73104.6190186422890.501344932381941
0.74104.7153915555810.469559436459928
0.75104.8117687233160.461912429136781
0.76104.9126452233850.481383781649561
0.77105.0227073947610.527426325250156
0.78105.146445399190.596837345101391
0.79105.2876842856070.683557239791154
0.8105.4490702080290.779511992479111
0.81105.6315754288020.875144404962731
0.82105.8341100954880.959734841817942
0.83106.053341563121.02246299553533
0.84106.2838150464281.05398948755779
0.85106.5184393153691.04804325803809
0.86106.7493535693931.0027579385531
0.87106.9691423428980.921573144342632
0.88107.1723352316360.813618912855549
0.89107.3571276781550.692899712080181
0.9107.5272598155170.578533825620169
0.91107.6938959058290.496535313201677
0.92107.876996912060.484485428035435
0.93108.1049581233310.58043343854511
0.94108.4103980390630.789910814674312
0.95108.8198122812271.07286603752435
0.96109.3368871741571.33599036606533
0.97109.9247098872121.43420521286489
0.98110.4992835276931.23674236637287
0.99110.9496096403820.773366016357042

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.2780605902433 & 0.144456079228458 \tabularnewline
0.02 & 92.3331794574445 & 0.117416606190446 \tabularnewline
0.03 & 92.3905328585507 & 0.101850585599175 \tabularnewline
0.04 & 92.4437505812365 & 0.104732268764704 \tabularnewline
0.05 & 92.4932712664139 & 0.120500287539577 \tabularnewline
0.06 & 92.5415741820013 & 0.139372832981418 \tabularnewline
0.07 & 92.5902165143438 & 0.15405240742948 \tabularnewline
0.08 & 92.6391932085372 & 0.16122904048382 \tabularnewline
0.09 & 92.687540716871 & 0.160958275116718 \tabularnewline
0.1 & 92.7342073361768 & 0.156275828022889 \tabularnewline
0.11 & 92.778697248582 & 0.151540885772417 \tabularnewline
0.12 & 92.8213601794039 & 0.151509510393662 \tabularnewline
0.13 & 92.8633874893665 & 0.160257402229554 \tabularnewline
0.14 & 92.9066389831391 & 0.180334308362235 \tabularnewline
0.15 & 92.9534133664192 & 0.213136223904542 \tabularnewline
0.16 & 93.0062302878078 & 0.258867619508415 \tabularnewline
0.17 & 93.0676453054235 & 0.31749372906404 \tabularnewline
0.18 & 93.1400899215193 & 0.388257722288023 \tabularnewline
0.19 & 93.2257215554069 & 0.469275287899267 \tabularnewline
0.2 & 93.3262768550166 & 0.558628993816045 \tabularnewline
0.21 & 93.4429357906395 & 0.652486440488856 \tabularnewline
0.22 & 93.5762146596628 & 0.747321911562018 \tabularnewline
0.23 & 93.7259088674782 & 0.839136030014199 \tabularnewline
0.24 & 93.8911010000658 & 0.923986154248305 \tabularnewline
0.25 & 94.0702391114039 & 0.998858720832639 \tabularnewline
0.26 & 94.2612781956931 & 1.06150230521712 \tabularnewline
0.27 & 94.461867845174 & 1.11077454103597 \tabularnewline
0.28 & 94.6695630775913 & 1.14680087415923 \tabularnewline
0.29 & 94.8820337318374 & 1.17057883933575 \tabularnewline
0.3 & 95.09725004172 & 1.18437242265603 \tabularnewline
0.31 & 95.3136268230025 & 1.19107739856784 \tabularnewline
0.32 & 95.5301149128526 & 1.19395693985368 \tabularnewline
0.33 & 95.7462350858147 & 1.19646056620734 \tabularnewline
0.34 & 95.962055940674 & 1.20184294388313 \tabularnewline
0.35 & 96.1781227310837 & 1.21263398544819 \tabularnewline
0.36 & 96.3953484218744 & 1.23080103747893 \tabularnewline
0.37 & 96.6148810517446 & 1.25689475401474 \tabularnewline
0.38 & 96.8379624994539 & 1.29090442371167 \tabularnewline
0.39 & 97.0657928835982 & 1.33205711477329 \tabularnewline
0.4 & 97.2994122532357 & 1.3782585908292 \tabularnewline
0.41 & 97.5396074477653 & 1.42776131533726 \tabularnewline
0.42 & 97.786847777398 & 1.4781522561338 \tabularnewline
0.43 & 98.0412493491857 & 1.52729519936888 \tabularnewline
0.44 & 98.3025651555477 & 1.57300895043852 \tabularnewline
0.45 & 98.5701968352307 & 1.61331666902563 \tabularnewline
0.46 & 98.8432242438885 & 1.6465692440629 \tabularnewline
0.47 & 99.1204501351323 & 1.67113362958662 \tabularnewline
0.48 & 99.4004585763602 & 1.68583692575513 \tabularnewline
0.49 & 99.6816863960916 & 1.68998158636753 \tabularnewline
0.5 & 99.9625064015878 & 1.68313212736817 \tabularnewline
0.51 & 100.241319176794 & 1.6654940136333 \tabularnewline
0.52 & 100.516647353453 & 1.63811862896176 \tabularnewline
0.53 & 100.787223177271 & 1.60235050666634 \tabularnewline
0.54 & 101.052058039646 & 1.56045253077648 \tabularnewline
0.55 & 101.310482422632 & 1.51482227836407 \tabularnewline
0.56 & 101.562147042552 & 1.46777661208397 \tabularnewline
0.57 & 101.806980898378 & 1.42158347855782 \tabularnewline
0.58 & 102.045108764725 & 1.37762006693041 \tabularnewline
0.59 & 102.276738155232 & 1.33654141377168 \tabularnewline
0.6 & 102.502032338934 & 1.29767003366583 \tabularnewline
0.61 & 102.720990095288 & 1.25969517564607 \tabularnewline
0.62 & 102.933353462777 & 1.22020063424767 \tabularnewline
0.63 & 103.138561431688 & 1.17690256582226 \tabularnewline
0.64 & 103.335760873524 & 1.12761790468729 \tabularnewline
0.65 & 103.52387726725 & 1.07082713819071 \tabularnewline
0.66 & 103.701738716129 & 1.00595422697755 \tabularnewline
0.67 & 103.868239116734 & 0.933740522168355 \tabularnewline
0.68 & 104.022521490373 & 0.855668156980098 \tabularnewline
0.69 & 104.16416099221 & 0.77479172327625 \tabularnewline
0.7 & 104.293328635748 & 0.694408485586598 \tabularnewline
0.71 & 104.410920171011 & 0.618920263816457 \tabularnewline
0.72 & 104.518638260822 & 0.552908637543619 \tabularnewline
0.73 & 104.619018642289 & 0.501344932381941 \tabularnewline
0.74 & 104.715391555581 & 0.469559436459928 \tabularnewline
0.75 & 104.811768723316 & 0.461912429136781 \tabularnewline
0.76 & 104.912645223385 & 0.481383781649561 \tabularnewline
0.77 & 105.022707394761 & 0.527426325250156 \tabularnewline
0.78 & 105.14644539919 & 0.596837345101391 \tabularnewline
0.79 & 105.287684285607 & 0.683557239791154 \tabularnewline
0.8 & 105.449070208029 & 0.779511992479111 \tabularnewline
0.81 & 105.631575428802 & 0.875144404962731 \tabularnewline
0.82 & 105.834110095488 & 0.959734841817942 \tabularnewline
0.83 & 106.05334156312 & 1.02246299553533 \tabularnewline
0.84 & 106.283815046428 & 1.05398948755779 \tabularnewline
0.85 & 106.518439315369 & 1.04804325803809 \tabularnewline
0.86 & 106.749353569393 & 1.0027579385531 \tabularnewline
0.87 & 106.969142342898 & 0.921573144342632 \tabularnewline
0.88 & 107.172335231636 & 0.813618912855549 \tabularnewline
0.89 & 107.357127678155 & 0.692899712080181 \tabularnewline
0.9 & 107.527259815517 & 0.578533825620169 \tabularnewline
0.91 & 107.693895905829 & 0.496535313201677 \tabularnewline
0.92 & 107.87699691206 & 0.484485428035435 \tabularnewline
0.93 & 108.104958123331 & 0.58043343854511 \tabularnewline
0.94 & 108.410398039063 & 0.789910814674312 \tabularnewline
0.95 & 108.819812281227 & 1.07286603752435 \tabularnewline
0.96 & 109.336887174157 & 1.33599036606533 \tabularnewline
0.97 & 109.924709887212 & 1.43420521286489 \tabularnewline
0.98 & 110.499283527693 & 1.23674236637287 \tabularnewline
0.99 & 110.949609640382 & 0.773366016357042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292802&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]92.2780605902433[/C][C]0.144456079228458[/C][/ROW]
[ROW][C]0.02[/C][C]92.3331794574445[/C][C]0.117416606190446[/C][/ROW]
[ROW][C]0.03[/C][C]92.3905328585507[/C][C]0.101850585599175[/C][/ROW]
[ROW][C]0.04[/C][C]92.4437505812365[/C][C]0.104732268764704[/C][/ROW]
[ROW][C]0.05[/C][C]92.4932712664139[/C][C]0.120500287539577[/C][/ROW]
[ROW][C]0.06[/C][C]92.5415741820013[/C][C]0.139372832981418[/C][/ROW]
[ROW][C]0.07[/C][C]92.5902165143438[/C][C]0.15405240742948[/C][/ROW]
[ROW][C]0.08[/C][C]92.6391932085372[/C][C]0.16122904048382[/C][/ROW]
[ROW][C]0.09[/C][C]92.687540716871[/C][C]0.160958275116718[/C][/ROW]
[ROW][C]0.1[/C][C]92.7342073361768[/C][C]0.156275828022889[/C][/ROW]
[ROW][C]0.11[/C][C]92.778697248582[/C][C]0.151540885772417[/C][/ROW]
[ROW][C]0.12[/C][C]92.8213601794039[/C][C]0.151509510393662[/C][/ROW]
[ROW][C]0.13[/C][C]92.8633874893665[/C][C]0.160257402229554[/C][/ROW]
[ROW][C]0.14[/C][C]92.9066389831391[/C][C]0.180334308362235[/C][/ROW]
[ROW][C]0.15[/C][C]92.9534133664192[/C][C]0.213136223904542[/C][/ROW]
[ROW][C]0.16[/C][C]93.0062302878078[/C][C]0.258867619508415[/C][/ROW]
[ROW][C]0.17[/C][C]93.0676453054235[/C][C]0.31749372906404[/C][/ROW]
[ROW][C]0.18[/C][C]93.1400899215193[/C][C]0.388257722288023[/C][/ROW]
[ROW][C]0.19[/C][C]93.2257215554069[/C][C]0.469275287899267[/C][/ROW]
[ROW][C]0.2[/C][C]93.3262768550166[/C][C]0.558628993816045[/C][/ROW]
[ROW][C]0.21[/C][C]93.4429357906395[/C][C]0.652486440488856[/C][/ROW]
[ROW][C]0.22[/C][C]93.5762146596628[/C][C]0.747321911562018[/C][/ROW]
[ROW][C]0.23[/C][C]93.7259088674782[/C][C]0.839136030014199[/C][/ROW]
[ROW][C]0.24[/C][C]93.8911010000658[/C][C]0.923986154248305[/C][/ROW]
[ROW][C]0.25[/C][C]94.0702391114039[/C][C]0.998858720832639[/C][/ROW]
[ROW][C]0.26[/C][C]94.2612781956931[/C][C]1.06150230521712[/C][/ROW]
[ROW][C]0.27[/C][C]94.461867845174[/C][C]1.11077454103597[/C][/ROW]
[ROW][C]0.28[/C][C]94.6695630775913[/C][C]1.14680087415923[/C][/ROW]
[ROW][C]0.29[/C][C]94.8820337318374[/C][C]1.17057883933575[/C][/ROW]
[ROW][C]0.3[/C][C]95.09725004172[/C][C]1.18437242265603[/C][/ROW]
[ROW][C]0.31[/C][C]95.3136268230025[/C][C]1.19107739856784[/C][/ROW]
[ROW][C]0.32[/C][C]95.5301149128526[/C][C]1.19395693985368[/C][/ROW]
[ROW][C]0.33[/C][C]95.7462350858147[/C][C]1.19646056620734[/C][/ROW]
[ROW][C]0.34[/C][C]95.962055940674[/C][C]1.20184294388313[/C][/ROW]
[ROW][C]0.35[/C][C]96.1781227310837[/C][C]1.21263398544819[/C][/ROW]
[ROW][C]0.36[/C][C]96.3953484218744[/C][C]1.23080103747893[/C][/ROW]
[ROW][C]0.37[/C][C]96.6148810517446[/C][C]1.25689475401474[/C][/ROW]
[ROW][C]0.38[/C][C]96.8379624994539[/C][C]1.29090442371167[/C][/ROW]
[ROW][C]0.39[/C][C]97.0657928835982[/C][C]1.33205711477329[/C][/ROW]
[ROW][C]0.4[/C][C]97.2994122532357[/C][C]1.3782585908292[/C][/ROW]
[ROW][C]0.41[/C][C]97.5396074477653[/C][C]1.42776131533726[/C][/ROW]
[ROW][C]0.42[/C][C]97.786847777398[/C][C]1.4781522561338[/C][/ROW]
[ROW][C]0.43[/C][C]98.0412493491857[/C][C]1.52729519936888[/C][/ROW]
[ROW][C]0.44[/C][C]98.3025651555477[/C][C]1.57300895043852[/C][/ROW]
[ROW][C]0.45[/C][C]98.5701968352307[/C][C]1.61331666902563[/C][/ROW]
[ROW][C]0.46[/C][C]98.8432242438885[/C][C]1.6465692440629[/C][/ROW]
[ROW][C]0.47[/C][C]99.1204501351323[/C][C]1.67113362958662[/C][/ROW]
[ROW][C]0.48[/C][C]99.4004585763602[/C][C]1.68583692575513[/C][/ROW]
[ROW][C]0.49[/C][C]99.6816863960916[/C][C]1.68998158636753[/C][/ROW]
[ROW][C]0.5[/C][C]99.9625064015878[/C][C]1.68313212736817[/C][/ROW]
[ROW][C]0.51[/C][C]100.241319176794[/C][C]1.6654940136333[/C][/ROW]
[ROW][C]0.52[/C][C]100.516647353453[/C][C]1.63811862896176[/C][/ROW]
[ROW][C]0.53[/C][C]100.787223177271[/C][C]1.60235050666634[/C][/ROW]
[ROW][C]0.54[/C][C]101.052058039646[/C][C]1.56045253077648[/C][/ROW]
[ROW][C]0.55[/C][C]101.310482422632[/C][C]1.51482227836407[/C][/ROW]
[ROW][C]0.56[/C][C]101.562147042552[/C][C]1.46777661208397[/C][/ROW]
[ROW][C]0.57[/C][C]101.806980898378[/C][C]1.42158347855782[/C][/ROW]
[ROW][C]0.58[/C][C]102.045108764725[/C][C]1.37762006693041[/C][/ROW]
[ROW][C]0.59[/C][C]102.276738155232[/C][C]1.33654141377168[/C][/ROW]
[ROW][C]0.6[/C][C]102.502032338934[/C][C]1.29767003366583[/C][/ROW]
[ROW][C]0.61[/C][C]102.720990095288[/C][C]1.25969517564607[/C][/ROW]
[ROW][C]0.62[/C][C]102.933353462777[/C][C]1.22020063424767[/C][/ROW]
[ROW][C]0.63[/C][C]103.138561431688[/C][C]1.17690256582226[/C][/ROW]
[ROW][C]0.64[/C][C]103.335760873524[/C][C]1.12761790468729[/C][/ROW]
[ROW][C]0.65[/C][C]103.52387726725[/C][C]1.07082713819071[/C][/ROW]
[ROW][C]0.66[/C][C]103.701738716129[/C][C]1.00595422697755[/C][/ROW]
[ROW][C]0.67[/C][C]103.868239116734[/C][C]0.933740522168355[/C][/ROW]
[ROW][C]0.68[/C][C]104.022521490373[/C][C]0.855668156980098[/C][/ROW]
[ROW][C]0.69[/C][C]104.16416099221[/C][C]0.77479172327625[/C][/ROW]
[ROW][C]0.7[/C][C]104.293328635748[/C][C]0.694408485586598[/C][/ROW]
[ROW][C]0.71[/C][C]104.410920171011[/C][C]0.618920263816457[/C][/ROW]
[ROW][C]0.72[/C][C]104.518638260822[/C][C]0.552908637543619[/C][/ROW]
[ROW][C]0.73[/C][C]104.619018642289[/C][C]0.501344932381941[/C][/ROW]
[ROW][C]0.74[/C][C]104.715391555581[/C][C]0.469559436459928[/C][/ROW]
[ROW][C]0.75[/C][C]104.811768723316[/C][C]0.461912429136781[/C][/ROW]
[ROW][C]0.76[/C][C]104.912645223385[/C][C]0.481383781649561[/C][/ROW]
[ROW][C]0.77[/C][C]105.022707394761[/C][C]0.527426325250156[/C][/ROW]
[ROW][C]0.78[/C][C]105.14644539919[/C][C]0.596837345101391[/C][/ROW]
[ROW][C]0.79[/C][C]105.287684285607[/C][C]0.683557239791154[/C][/ROW]
[ROW][C]0.8[/C][C]105.449070208029[/C][C]0.779511992479111[/C][/ROW]
[ROW][C]0.81[/C][C]105.631575428802[/C][C]0.875144404962731[/C][/ROW]
[ROW][C]0.82[/C][C]105.834110095488[/C][C]0.959734841817942[/C][/ROW]
[ROW][C]0.83[/C][C]106.05334156312[/C][C]1.02246299553533[/C][/ROW]
[ROW][C]0.84[/C][C]106.283815046428[/C][C]1.05398948755779[/C][/ROW]
[ROW][C]0.85[/C][C]106.518439315369[/C][C]1.04804325803809[/C][/ROW]
[ROW][C]0.86[/C][C]106.749353569393[/C][C]1.0027579385531[/C][/ROW]
[ROW][C]0.87[/C][C]106.969142342898[/C][C]0.921573144342632[/C][/ROW]
[ROW][C]0.88[/C][C]107.172335231636[/C][C]0.813618912855549[/C][/ROW]
[ROW][C]0.89[/C][C]107.357127678155[/C][C]0.692899712080181[/C][/ROW]
[ROW][C]0.9[/C][C]107.527259815517[/C][C]0.578533825620169[/C][/ROW]
[ROW][C]0.91[/C][C]107.693895905829[/C][C]0.496535313201677[/C][/ROW]
[ROW][C]0.92[/C][C]107.87699691206[/C][C]0.484485428035435[/C][/ROW]
[ROW][C]0.93[/C][C]108.104958123331[/C][C]0.58043343854511[/C][/ROW]
[ROW][C]0.94[/C][C]108.410398039063[/C][C]0.789910814674312[/C][/ROW]
[ROW][C]0.95[/C][C]108.819812281227[/C][C]1.07286603752435[/C][/ROW]
[ROW][C]0.96[/C][C]109.336887174157[/C][C]1.33599036606533[/C][/ROW]
[ROW][C]0.97[/C][C]109.924709887212[/C][C]1.43420521286489[/C][/ROW]
[ROW][C]0.98[/C][C]110.499283527693[/C][C]1.23674236637287[/C][/ROW]
[ROW][C]0.99[/C][C]110.949609640382[/C][C]0.773366016357042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292802&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292802&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
0.0192.27806059024330.144456079228458
0.0292.33317945744450.117416606190446
0.0392.39053285855070.101850585599175
0.0492.44375058123650.104732268764704
0.0592.49327126641390.120500287539577
0.0692.54157418200130.139372832981418
0.0792.59021651434380.15405240742948
0.0892.63919320853720.16122904048382
0.0992.6875407168710.160958275116718
0.192.73420733617680.156275828022889
0.1192.7786972485820.151540885772417
0.1292.82136017940390.151509510393662
0.1392.86338748936650.160257402229554
0.1492.90663898313910.180334308362235
0.1592.95341336641920.213136223904542
0.1693.00623028780780.258867619508415
0.1793.06764530542350.31749372906404
0.1893.14008992151930.388257722288023
0.1993.22572155540690.469275287899267
0.293.32627685501660.558628993816045
0.2193.44293579063950.652486440488856
0.2293.57621465966280.747321911562018
0.2393.72590886747820.839136030014199
0.2493.89110100006580.923986154248305
0.2594.07023911140390.998858720832639
0.2694.26127819569311.06150230521712
0.2794.4618678451741.11077454103597
0.2894.66956307759131.14680087415923
0.2994.88203373183741.17057883933575
0.395.097250041721.18437242265603
0.3195.31362682300251.19107739856784
0.3295.53011491285261.19395693985368
0.3395.74623508581471.19646056620734
0.3495.9620559406741.20184294388313
0.3596.17812273108371.21263398544819
0.3696.39534842187441.23080103747893
0.3796.61488105174461.25689475401474
0.3896.83796249945391.29090442371167
0.3997.06579288359821.33205711477329
0.497.29941225323571.3782585908292
0.4197.53960744776531.42776131533726
0.4297.7868477773981.4781522561338
0.4398.04124934918571.52729519936888
0.4498.30256515554771.57300895043852
0.4598.57019683523071.61331666902563
0.4698.84322424388851.6465692440629
0.4799.12045013513231.67113362958662
0.4899.40045857636021.68583692575513
0.4999.68168639609161.68998158636753
0.599.96250640158781.68313212736817
0.51100.2413191767941.6654940136333
0.52100.5166473534531.63811862896176
0.53100.7872231772711.60235050666634
0.54101.0520580396461.56045253077648
0.55101.3104824226321.51482227836407
0.56101.5621470425521.46777661208397
0.57101.8069808983781.42158347855782
0.58102.0451087647251.37762006693041
0.59102.2767381552321.33654141377168
0.6102.5020323389341.29767003366583
0.61102.7209900952881.25969517564607
0.62102.9333534627771.22020063424767
0.63103.1385614316881.17690256582226
0.64103.3357608735241.12761790468729
0.65103.523877267251.07082713819071
0.66103.7017387161291.00595422697755
0.67103.8682391167340.933740522168355
0.68104.0225214903730.855668156980098
0.69104.164160992210.77479172327625
0.7104.2933286357480.694408485586598
0.71104.4109201710110.618920263816457
0.72104.5186382608220.552908637543619
0.73104.6190186422890.501344932381941
0.74104.7153915555810.469559436459928
0.75104.8117687233160.461912429136781
0.76104.9126452233850.481383781649561
0.77105.0227073947610.527426325250156
0.78105.146445399190.596837345101391
0.79105.2876842856070.683557239791154
0.8105.4490702080290.779511992479111
0.81105.6315754288020.875144404962731
0.82105.8341100954880.959734841817942
0.83106.053341563121.02246299553533
0.84106.2838150464281.05398948755779
0.85106.5184393153691.04804325803809
0.86106.7493535693931.0027579385531
0.87106.9691423428980.921573144342632
0.88107.1723352316360.813618912855549
0.89107.3571276781550.692899712080181
0.9107.5272598155170.578533825620169
0.91107.6938959058290.496535313201677
0.92107.876996912060.484485428035435
0.93108.1049581233310.58043343854511
0.94108.4103980390630.789910814674312
0.95108.8198122812271.07286603752435
0.96109.3368871741571.33599036606533
0.97109.9247098872121.43420521286489
0.98110.4992835276931.23674236637287
0.99110.9496096403820.773366016357042


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')