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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 18 Aug 2009 06:07:48 -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/2009/Aug/18/t1250597891c8uxrti98kwaqel.htm/, Retrieved Tue, 07 May 2024 01:34:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42790, Retrieved Tue, 07 May 2024 01:34:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [huur niet-sociale...] [2009-08-18 09:24:53] [9bfa6cce6cc5e8bbb612e3eff9d9524a]
- RMP   [Histogram] [frequentietabl- s...] [2009-08-18 10:28:11] [87b6fd9e7a53f2856f695d138cdb3a23]
- RM        [Harrell-Davis Quantiles] [percentielen harr...] [2009-08-18 12:07:48] [b8e5917cf12776624abfb4c0afd3dea9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.2
102.4
102.4
102.5
102.5
102.6
102.8
102.9
102.9
103.1
103.2
103.3
103.6
103.7
103.8
104
104
104.1
104.2
104.3
104.4
104.5
104.7
104.7
104.9
105
105.2
105.3
105.4
105.5
105.7
105.8
105.9
106
106.1
106.2
106.6
106.8
107
107.1
107.3
107.4
107.6
107.7
107.9
108.2
108.3
108.5
108.92
109.23
109.41
109.65
109.91
110.01
110.2
110.49
110.57
110.72
110.94
111.09
111.28
111.41
111.62
111.76
111.89
112.04
112.12
112.3
112.47
112.59
112.78
112.73
112.99
113.1
113.33
113.38
113.68
113.65
113.81
113.88
114.02
114.25
114.28
114.38
114.73
114.97
115.05
115.29
115.37
115.54
115.76
115.92
116.02
116.21
116.26
116.51

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' @ 193.190.124.24

\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' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42790&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' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42790&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42790&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' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.2760713589160.138973161513419
0.02102.3688874665100.0953498653003975
0.03102.4463796555230.105453911936325
0.04102.5185489996310.142428352267636
0.05102.5978658370450.184885707705719
0.06102.6881534383670.223913375012890
0.07102.7882766966280.257362671447113
0.08102.8960494429100.288044538154919
0.09103.0098923095470.318401159781666
0.1103.1288515571660.347972088341285
0.11103.2519188659870.373222578296195
0.12103.3775042185800.39078987460694
0.13103.5034604876410.398961438202567
0.14103.6275551629520.398902435302885
0.15103.7480496388670.393659894407746
0.16103.8640928598520.386889943071802
0.17103.9758081219640.382529368352385
0.18104.0841098545270.382785685067005
0.19104.1903705866480.388662854634889
0.2104.2960676098300.39958762045595
0.21104.4025022284030.414496681016634
0.22104.5106335515440.431629510662604
0.23104.6210261081570.449391570389377
0.24104.7338859523790.466692690672346
0.25104.8491524892610.482750247149889
0.26104.9666164498790.49738532873635
0.27105.0860411522090.510705019300449
0.28105.2072698653820.523470800643979
0.29105.3303056332650.536600082033675
0.3105.4553526479960.551334205367392
0.31105.5828122945820.568322472222615
0.32105.7132336389480.588401453349983
0.33105.8472270890370.611590778194904
0.34105.9853592124830.637426257905072
0.35106.1280532145160.664618482279657
0.36106.2755204786390.691770511979711
0.37106.4277423750240.718074797094511
0.38106.5845090641210.741961003794168
0.39106.7455064300690.763691707823735
0.4106.9104281733280.783636452231869
0.41107.0790819375990.802814742187171
0.42107.2514588528670.822406063684055
0.43107.4277450315830.843635656919034
0.44107.6082686773630.867086036460527
0.45107.7933931976460.892462945632335
0.46107.9833804827960.918909679028914
0.47108.1782558916640.944880829747966
0.48108.3777059865430.96804457460642
0.49108.5810323005020.986217409157413
0.5108.7871716900610.997725279117617
0.51108.9947793692151.00141002907554
0.52109.2023579066640.99650988997433
0.53109.4084070407020.984124932537506
0.54109.6115666821640.965013670964913
0.55109.8107290278400.940774269363877
0.56110.0051039956170.913429681503199
0.57110.1942329355530.88448879782377
0.58110.3779561383100.8555857101298
0.59110.5563477516770.827499653944274
0.6110.7296358716780.80089742886908
0.61110.8981254224660.775816798593239
0.62111.0621376222680.752089915922239
0.63111.2219737231110.729603603408679
0.64111.3779040051850.707992619131337
0.65111.5301772944520.68711569258327
0.66111.6790426701760.667199229640218
0.67111.8247739319950.648237690874346
0.68111.9676884440640.630816457364548
0.69112.1081542904250.614787804738364
0.7112.2465823347280.600583084306592
0.71112.3834023051400.588136244348783
0.72112.5190246380830.57735412911339
0.73112.6537931517990.567857914157198
0.74112.7879380031650.558947078482721
0.75112.9215429963710.549995431279182
0.76113.0545439552270.540142651730596
0.77113.1867726874010.528811777409451
0.78113.3180521477670.515952200303524
0.79113.4483333507060.50214015012609
0.8113.5778469315970.488939535054692
0.81113.7072273290560.47772669892674
0.82113.8375605167670.470569181060566
0.83113.9703110972510.468880955168962
0.84114.1071049476640.472728433511823
0.85114.2493827710810.480871763060024
0.86114.3979966849540.490204035865334
0.87114.5528813064970.496526983098566
0.88114.7129567608850.495812997052728
0.89114.8763674445660.485641553484173
0.9115.0410080850160.466207437046732
0.91115.2050939080860.440232523232367
0.92115.3674358032680.411046934421306
0.93115.5272229361650.380126262052923
0.94115.6834649521460.346313262534563
0.95115.8345846763990.307329229355394
0.96115.9789705196390.262306314783114
0.97116.1177611938560.213902722173243
0.98116.2585015208050.178188588912939
0.99116.4039515996140.195633116872467

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.276071358916 & 0.138973161513419 \tabularnewline
0.02 & 102.368887466510 & 0.0953498653003975 \tabularnewline
0.03 & 102.446379655523 & 0.105453911936325 \tabularnewline
0.04 & 102.518548999631 & 0.142428352267636 \tabularnewline
0.05 & 102.597865837045 & 0.184885707705719 \tabularnewline
0.06 & 102.688153438367 & 0.223913375012890 \tabularnewline
0.07 & 102.788276696628 & 0.257362671447113 \tabularnewline
0.08 & 102.896049442910 & 0.288044538154919 \tabularnewline
0.09 & 103.009892309547 & 0.318401159781666 \tabularnewline
0.1 & 103.128851557166 & 0.347972088341285 \tabularnewline
0.11 & 103.251918865987 & 0.373222578296195 \tabularnewline
0.12 & 103.377504218580 & 0.39078987460694 \tabularnewline
0.13 & 103.503460487641 & 0.398961438202567 \tabularnewline
0.14 & 103.627555162952 & 0.398902435302885 \tabularnewline
0.15 & 103.748049638867 & 0.393659894407746 \tabularnewline
0.16 & 103.864092859852 & 0.386889943071802 \tabularnewline
0.17 & 103.975808121964 & 0.382529368352385 \tabularnewline
0.18 & 104.084109854527 & 0.382785685067005 \tabularnewline
0.19 & 104.190370586648 & 0.388662854634889 \tabularnewline
0.2 & 104.296067609830 & 0.39958762045595 \tabularnewline
0.21 & 104.402502228403 & 0.414496681016634 \tabularnewline
0.22 & 104.510633551544 & 0.431629510662604 \tabularnewline
0.23 & 104.621026108157 & 0.449391570389377 \tabularnewline
0.24 & 104.733885952379 & 0.466692690672346 \tabularnewline
0.25 & 104.849152489261 & 0.482750247149889 \tabularnewline
0.26 & 104.966616449879 & 0.49738532873635 \tabularnewline
0.27 & 105.086041152209 & 0.510705019300449 \tabularnewline
0.28 & 105.207269865382 & 0.523470800643979 \tabularnewline
0.29 & 105.330305633265 & 0.536600082033675 \tabularnewline
0.3 & 105.455352647996 & 0.551334205367392 \tabularnewline
0.31 & 105.582812294582 & 0.568322472222615 \tabularnewline
0.32 & 105.713233638948 & 0.588401453349983 \tabularnewline
0.33 & 105.847227089037 & 0.611590778194904 \tabularnewline
0.34 & 105.985359212483 & 0.637426257905072 \tabularnewline
0.35 & 106.128053214516 & 0.664618482279657 \tabularnewline
0.36 & 106.275520478639 & 0.691770511979711 \tabularnewline
0.37 & 106.427742375024 & 0.718074797094511 \tabularnewline
0.38 & 106.584509064121 & 0.741961003794168 \tabularnewline
0.39 & 106.745506430069 & 0.763691707823735 \tabularnewline
0.4 & 106.910428173328 & 0.783636452231869 \tabularnewline
0.41 & 107.079081937599 & 0.802814742187171 \tabularnewline
0.42 & 107.251458852867 & 0.822406063684055 \tabularnewline
0.43 & 107.427745031583 & 0.843635656919034 \tabularnewline
0.44 & 107.608268677363 & 0.867086036460527 \tabularnewline
0.45 & 107.793393197646 & 0.892462945632335 \tabularnewline
0.46 & 107.983380482796 & 0.918909679028914 \tabularnewline
0.47 & 108.178255891664 & 0.944880829747966 \tabularnewline
0.48 & 108.377705986543 & 0.96804457460642 \tabularnewline
0.49 & 108.581032300502 & 0.986217409157413 \tabularnewline
0.5 & 108.787171690061 & 0.997725279117617 \tabularnewline
0.51 & 108.994779369215 & 1.00141002907554 \tabularnewline
0.52 & 109.202357906664 & 0.99650988997433 \tabularnewline
0.53 & 109.408407040702 & 0.984124932537506 \tabularnewline
0.54 & 109.611566682164 & 0.965013670964913 \tabularnewline
0.55 & 109.810729027840 & 0.940774269363877 \tabularnewline
0.56 & 110.005103995617 & 0.913429681503199 \tabularnewline
0.57 & 110.194232935553 & 0.88448879782377 \tabularnewline
0.58 & 110.377956138310 & 0.8555857101298 \tabularnewline
0.59 & 110.556347751677 & 0.827499653944274 \tabularnewline
0.6 & 110.729635871678 & 0.80089742886908 \tabularnewline
0.61 & 110.898125422466 & 0.775816798593239 \tabularnewline
0.62 & 111.062137622268 & 0.752089915922239 \tabularnewline
0.63 & 111.221973723111 & 0.729603603408679 \tabularnewline
0.64 & 111.377904005185 & 0.707992619131337 \tabularnewline
0.65 & 111.530177294452 & 0.68711569258327 \tabularnewline
0.66 & 111.679042670176 & 0.667199229640218 \tabularnewline
0.67 & 111.824773931995 & 0.648237690874346 \tabularnewline
0.68 & 111.967688444064 & 0.630816457364548 \tabularnewline
0.69 & 112.108154290425 & 0.614787804738364 \tabularnewline
0.7 & 112.246582334728 & 0.600583084306592 \tabularnewline
0.71 & 112.383402305140 & 0.588136244348783 \tabularnewline
0.72 & 112.519024638083 & 0.57735412911339 \tabularnewline
0.73 & 112.653793151799 & 0.567857914157198 \tabularnewline
0.74 & 112.787938003165 & 0.558947078482721 \tabularnewline
0.75 & 112.921542996371 & 0.549995431279182 \tabularnewline
0.76 & 113.054543955227 & 0.540142651730596 \tabularnewline
0.77 & 113.186772687401 & 0.528811777409451 \tabularnewline
0.78 & 113.318052147767 & 0.515952200303524 \tabularnewline
0.79 & 113.448333350706 & 0.50214015012609 \tabularnewline
0.8 & 113.577846931597 & 0.488939535054692 \tabularnewline
0.81 & 113.707227329056 & 0.47772669892674 \tabularnewline
0.82 & 113.837560516767 & 0.470569181060566 \tabularnewline
0.83 & 113.970311097251 & 0.468880955168962 \tabularnewline
0.84 & 114.107104947664 & 0.472728433511823 \tabularnewline
0.85 & 114.249382771081 & 0.480871763060024 \tabularnewline
0.86 & 114.397996684954 & 0.490204035865334 \tabularnewline
0.87 & 114.552881306497 & 0.496526983098566 \tabularnewline
0.88 & 114.712956760885 & 0.495812997052728 \tabularnewline
0.89 & 114.876367444566 & 0.485641553484173 \tabularnewline
0.9 & 115.041008085016 & 0.466207437046732 \tabularnewline
0.91 & 115.205093908086 & 0.440232523232367 \tabularnewline
0.92 & 115.367435803268 & 0.411046934421306 \tabularnewline
0.93 & 115.527222936165 & 0.380126262052923 \tabularnewline
0.94 & 115.683464952146 & 0.346313262534563 \tabularnewline
0.95 & 115.834584676399 & 0.307329229355394 \tabularnewline
0.96 & 115.978970519639 & 0.262306314783114 \tabularnewline
0.97 & 116.117761193856 & 0.213902722173243 \tabularnewline
0.98 & 116.258501520805 & 0.178188588912939 \tabularnewline
0.99 & 116.403951599614 & 0.195633116872467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42790&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]102.276071358916[/C][C]0.138973161513419[/C][/ROW]
[ROW][C]0.02[/C][C]102.368887466510[/C][C]0.0953498653003975[/C][/ROW]
[ROW][C]0.03[/C][C]102.446379655523[/C][C]0.105453911936325[/C][/ROW]
[ROW][C]0.04[/C][C]102.518548999631[/C][C]0.142428352267636[/C][/ROW]
[ROW][C]0.05[/C][C]102.597865837045[/C][C]0.184885707705719[/C][/ROW]
[ROW][C]0.06[/C][C]102.688153438367[/C][C]0.223913375012890[/C][/ROW]
[ROW][C]0.07[/C][C]102.788276696628[/C][C]0.257362671447113[/C][/ROW]
[ROW][C]0.08[/C][C]102.896049442910[/C][C]0.288044538154919[/C][/ROW]
[ROW][C]0.09[/C][C]103.009892309547[/C][C]0.318401159781666[/C][/ROW]
[ROW][C]0.1[/C][C]103.128851557166[/C][C]0.347972088341285[/C][/ROW]
[ROW][C]0.11[/C][C]103.251918865987[/C][C]0.373222578296195[/C][/ROW]
[ROW][C]0.12[/C][C]103.377504218580[/C][C]0.39078987460694[/C][/ROW]
[ROW][C]0.13[/C][C]103.503460487641[/C][C]0.398961438202567[/C][/ROW]
[ROW][C]0.14[/C][C]103.627555162952[/C][C]0.398902435302885[/C][/ROW]
[ROW][C]0.15[/C][C]103.748049638867[/C][C]0.393659894407746[/C][/ROW]
[ROW][C]0.16[/C][C]103.864092859852[/C][C]0.386889943071802[/C][/ROW]
[ROW][C]0.17[/C][C]103.975808121964[/C][C]0.382529368352385[/C][/ROW]
[ROW][C]0.18[/C][C]104.084109854527[/C][C]0.382785685067005[/C][/ROW]
[ROW][C]0.19[/C][C]104.190370586648[/C][C]0.388662854634889[/C][/ROW]
[ROW][C]0.2[/C][C]104.296067609830[/C][C]0.39958762045595[/C][/ROW]
[ROW][C]0.21[/C][C]104.402502228403[/C][C]0.414496681016634[/C][/ROW]
[ROW][C]0.22[/C][C]104.510633551544[/C][C]0.431629510662604[/C][/ROW]
[ROW][C]0.23[/C][C]104.621026108157[/C][C]0.449391570389377[/C][/ROW]
[ROW][C]0.24[/C][C]104.733885952379[/C][C]0.466692690672346[/C][/ROW]
[ROW][C]0.25[/C][C]104.849152489261[/C][C]0.482750247149889[/C][/ROW]
[ROW][C]0.26[/C][C]104.966616449879[/C][C]0.49738532873635[/C][/ROW]
[ROW][C]0.27[/C][C]105.086041152209[/C][C]0.510705019300449[/C][/ROW]
[ROW][C]0.28[/C][C]105.207269865382[/C][C]0.523470800643979[/C][/ROW]
[ROW][C]0.29[/C][C]105.330305633265[/C][C]0.536600082033675[/C][/ROW]
[ROW][C]0.3[/C][C]105.455352647996[/C][C]0.551334205367392[/C][/ROW]
[ROW][C]0.31[/C][C]105.582812294582[/C][C]0.568322472222615[/C][/ROW]
[ROW][C]0.32[/C][C]105.713233638948[/C][C]0.588401453349983[/C][/ROW]
[ROW][C]0.33[/C][C]105.847227089037[/C][C]0.611590778194904[/C][/ROW]
[ROW][C]0.34[/C][C]105.985359212483[/C][C]0.637426257905072[/C][/ROW]
[ROW][C]0.35[/C][C]106.128053214516[/C][C]0.664618482279657[/C][/ROW]
[ROW][C]0.36[/C][C]106.275520478639[/C][C]0.691770511979711[/C][/ROW]
[ROW][C]0.37[/C][C]106.427742375024[/C][C]0.718074797094511[/C][/ROW]
[ROW][C]0.38[/C][C]106.584509064121[/C][C]0.741961003794168[/C][/ROW]
[ROW][C]0.39[/C][C]106.745506430069[/C][C]0.763691707823735[/C][/ROW]
[ROW][C]0.4[/C][C]106.910428173328[/C][C]0.783636452231869[/C][/ROW]
[ROW][C]0.41[/C][C]107.079081937599[/C][C]0.802814742187171[/C][/ROW]
[ROW][C]0.42[/C][C]107.251458852867[/C][C]0.822406063684055[/C][/ROW]
[ROW][C]0.43[/C][C]107.427745031583[/C][C]0.843635656919034[/C][/ROW]
[ROW][C]0.44[/C][C]107.608268677363[/C][C]0.867086036460527[/C][/ROW]
[ROW][C]0.45[/C][C]107.793393197646[/C][C]0.892462945632335[/C][/ROW]
[ROW][C]0.46[/C][C]107.983380482796[/C][C]0.918909679028914[/C][/ROW]
[ROW][C]0.47[/C][C]108.178255891664[/C][C]0.944880829747966[/C][/ROW]
[ROW][C]0.48[/C][C]108.377705986543[/C][C]0.96804457460642[/C][/ROW]
[ROW][C]0.49[/C][C]108.581032300502[/C][C]0.986217409157413[/C][/ROW]
[ROW][C]0.5[/C][C]108.787171690061[/C][C]0.997725279117617[/C][/ROW]
[ROW][C]0.51[/C][C]108.994779369215[/C][C]1.00141002907554[/C][/ROW]
[ROW][C]0.52[/C][C]109.202357906664[/C][C]0.99650988997433[/C][/ROW]
[ROW][C]0.53[/C][C]109.408407040702[/C][C]0.984124932537506[/C][/ROW]
[ROW][C]0.54[/C][C]109.611566682164[/C][C]0.965013670964913[/C][/ROW]
[ROW][C]0.55[/C][C]109.810729027840[/C][C]0.940774269363877[/C][/ROW]
[ROW][C]0.56[/C][C]110.005103995617[/C][C]0.913429681503199[/C][/ROW]
[ROW][C]0.57[/C][C]110.194232935553[/C][C]0.88448879782377[/C][/ROW]
[ROW][C]0.58[/C][C]110.377956138310[/C][C]0.8555857101298[/C][/ROW]
[ROW][C]0.59[/C][C]110.556347751677[/C][C]0.827499653944274[/C][/ROW]
[ROW][C]0.6[/C][C]110.729635871678[/C][C]0.80089742886908[/C][/ROW]
[ROW][C]0.61[/C][C]110.898125422466[/C][C]0.775816798593239[/C][/ROW]
[ROW][C]0.62[/C][C]111.062137622268[/C][C]0.752089915922239[/C][/ROW]
[ROW][C]0.63[/C][C]111.221973723111[/C][C]0.729603603408679[/C][/ROW]
[ROW][C]0.64[/C][C]111.377904005185[/C][C]0.707992619131337[/C][/ROW]
[ROW][C]0.65[/C][C]111.530177294452[/C][C]0.68711569258327[/C][/ROW]
[ROW][C]0.66[/C][C]111.679042670176[/C][C]0.667199229640218[/C][/ROW]
[ROW][C]0.67[/C][C]111.824773931995[/C][C]0.648237690874346[/C][/ROW]
[ROW][C]0.68[/C][C]111.967688444064[/C][C]0.630816457364548[/C][/ROW]
[ROW][C]0.69[/C][C]112.108154290425[/C][C]0.614787804738364[/C][/ROW]
[ROW][C]0.7[/C][C]112.246582334728[/C][C]0.600583084306592[/C][/ROW]
[ROW][C]0.71[/C][C]112.383402305140[/C][C]0.588136244348783[/C][/ROW]
[ROW][C]0.72[/C][C]112.519024638083[/C][C]0.57735412911339[/C][/ROW]
[ROW][C]0.73[/C][C]112.653793151799[/C][C]0.567857914157198[/C][/ROW]
[ROW][C]0.74[/C][C]112.787938003165[/C][C]0.558947078482721[/C][/ROW]
[ROW][C]0.75[/C][C]112.921542996371[/C][C]0.549995431279182[/C][/ROW]
[ROW][C]0.76[/C][C]113.054543955227[/C][C]0.540142651730596[/C][/ROW]
[ROW][C]0.77[/C][C]113.186772687401[/C][C]0.528811777409451[/C][/ROW]
[ROW][C]0.78[/C][C]113.318052147767[/C][C]0.515952200303524[/C][/ROW]
[ROW][C]0.79[/C][C]113.448333350706[/C][C]0.50214015012609[/C][/ROW]
[ROW][C]0.8[/C][C]113.577846931597[/C][C]0.488939535054692[/C][/ROW]
[ROW][C]0.81[/C][C]113.707227329056[/C][C]0.47772669892674[/C][/ROW]
[ROW][C]0.82[/C][C]113.837560516767[/C][C]0.470569181060566[/C][/ROW]
[ROW][C]0.83[/C][C]113.970311097251[/C][C]0.468880955168962[/C][/ROW]
[ROW][C]0.84[/C][C]114.107104947664[/C][C]0.472728433511823[/C][/ROW]
[ROW][C]0.85[/C][C]114.249382771081[/C][C]0.480871763060024[/C][/ROW]
[ROW][C]0.86[/C][C]114.397996684954[/C][C]0.490204035865334[/C][/ROW]
[ROW][C]0.87[/C][C]114.552881306497[/C][C]0.496526983098566[/C][/ROW]
[ROW][C]0.88[/C][C]114.712956760885[/C][C]0.495812997052728[/C][/ROW]
[ROW][C]0.89[/C][C]114.876367444566[/C][C]0.485641553484173[/C][/ROW]
[ROW][C]0.9[/C][C]115.041008085016[/C][C]0.466207437046732[/C][/ROW]
[ROW][C]0.91[/C][C]115.205093908086[/C][C]0.440232523232367[/C][/ROW]
[ROW][C]0.92[/C][C]115.367435803268[/C][C]0.411046934421306[/C][/ROW]
[ROW][C]0.93[/C][C]115.527222936165[/C][C]0.380126262052923[/C][/ROW]
[ROW][C]0.94[/C][C]115.683464952146[/C][C]0.346313262534563[/C][/ROW]
[ROW][C]0.95[/C][C]115.834584676399[/C][C]0.307329229355394[/C][/ROW]
[ROW][C]0.96[/C][C]115.978970519639[/C][C]0.262306314783114[/C][/ROW]
[ROW][C]0.97[/C][C]116.117761193856[/C][C]0.213902722173243[/C][/ROW]
[ROW][C]0.98[/C][C]116.258501520805[/C][C]0.178188588912939[/C][/ROW]
[ROW][C]0.99[/C][C]116.403951599614[/C][C]0.195633116872467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42790&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42790&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
0.01102.2760713589160.138973161513419
0.02102.3688874665100.0953498653003975
0.03102.4463796555230.105453911936325
0.04102.5185489996310.142428352267636
0.05102.5978658370450.184885707705719
0.06102.6881534383670.223913375012890
0.07102.7882766966280.257362671447113
0.08102.8960494429100.288044538154919
0.09103.0098923095470.318401159781666
0.1103.1288515571660.347972088341285
0.11103.2519188659870.373222578296195
0.12103.3775042185800.39078987460694
0.13103.5034604876410.398961438202567
0.14103.6275551629520.398902435302885
0.15103.7480496388670.393659894407746
0.16103.8640928598520.386889943071802
0.17103.9758081219640.382529368352385
0.18104.0841098545270.382785685067005
0.19104.1903705866480.388662854634889
0.2104.2960676098300.39958762045595
0.21104.4025022284030.414496681016634
0.22104.5106335515440.431629510662604
0.23104.6210261081570.449391570389377
0.24104.7338859523790.466692690672346
0.25104.8491524892610.482750247149889
0.26104.9666164498790.49738532873635
0.27105.0860411522090.510705019300449
0.28105.2072698653820.523470800643979
0.29105.3303056332650.536600082033675
0.3105.4553526479960.551334205367392
0.31105.5828122945820.568322472222615
0.32105.7132336389480.588401453349983
0.33105.8472270890370.611590778194904
0.34105.9853592124830.637426257905072
0.35106.1280532145160.664618482279657
0.36106.2755204786390.691770511979711
0.37106.4277423750240.718074797094511
0.38106.5845090641210.741961003794168
0.39106.7455064300690.763691707823735
0.4106.9104281733280.783636452231869
0.41107.0790819375990.802814742187171
0.42107.2514588528670.822406063684055
0.43107.4277450315830.843635656919034
0.44107.6082686773630.867086036460527
0.45107.7933931976460.892462945632335
0.46107.9833804827960.918909679028914
0.47108.1782558916640.944880829747966
0.48108.3777059865430.96804457460642
0.49108.5810323005020.986217409157413
0.5108.7871716900610.997725279117617
0.51108.9947793692151.00141002907554
0.52109.2023579066640.99650988997433
0.53109.4084070407020.984124932537506
0.54109.6115666821640.965013670964913
0.55109.8107290278400.940774269363877
0.56110.0051039956170.913429681503199
0.57110.1942329355530.88448879782377
0.58110.3779561383100.8555857101298
0.59110.5563477516770.827499653944274
0.6110.7296358716780.80089742886908
0.61110.8981254224660.775816798593239
0.62111.0621376222680.752089915922239
0.63111.2219737231110.729603603408679
0.64111.3779040051850.707992619131337
0.65111.5301772944520.68711569258327
0.66111.6790426701760.667199229640218
0.67111.8247739319950.648237690874346
0.68111.9676884440640.630816457364548
0.69112.1081542904250.614787804738364
0.7112.2465823347280.600583084306592
0.71112.3834023051400.588136244348783
0.72112.5190246380830.57735412911339
0.73112.6537931517990.567857914157198
0.74112.7879380031650.558947078482721
0.75112.9215429963710.549995431279182
0.76113.0545439552270.540142651730596
0.77113.1867726874010.528811777409451
0.78113.3180521477670.515952200303524
0.79113.4483333507060.50214015012609
0.8113.5778469315970.488939535054692
0.81113.7072273290560.47772669892674
0.82113.8375605167670.470569181060566
0.83113.9703110972510.468880955168962
0.84114.1071049476640.472728433511823
0.85114.2493827710810.480871763060024
0.86114.3979966849540.490204035865334
0.87114.5528813064970.496526983098566
0.88114.7129567608850.495812997052728
0.89114.8763674445660.485641553484173
0.9115.0410080850160.466207437046732
0.91115.2050939080860.440232523232367
0.92115.3674358032680.411046934421306
0.93115.5272229361650.380126262052923
0.94115.6834649521460.346313262534563
0.95115.8345846763990.307329229355394
0.96115.9789705196390.262306314783114
0.97116.1177611938560.213902722173243
0.98116.2585015208050.178188588912939
0.99116.4039515996140.195633116872467


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')