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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 computationSat, 12 Jan 2013 09:29:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/12/t1358001172tiw08rcsv4uw57i.htm/, Retrieved Sat, 27 Apr 2024 20:25:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205221, Retrieved Sat, 27 Apr 2024 20:25:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [Boxplot Maximumpr...] [2012-10-04 10:24:27] [358bea9e1e2ce3473e10ce6560281f41]
- RMPD    [Harrell-Davis Quantiles] [Wijn] [2013-01-12 14:29:03] [0c7e7d09d2015d04a0f0c5141ec0f270] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
23,15
23,18
23,32
23,37
23,43
23,65
23,76
23,81
23,85
23,83
23,85
23,71
23,74
23,87
24,13
24,23
24,27
24,41
24,39
24,34
24,31
24,34
24,41
24,39
24,54
24,9
25,63
26,7
27,12
27,68
27,84
27,84
27,77
27,8
27,82
27,72
27,87
27,83
28,07
28,05
28,15
28,3
28,41
28,43
28,43
28,29
28,19
27,53
27,92
27,98
27,92
27,89
27,95
28,02
27,97
27,81
27,78
27,56
27,52
27,18
27,18
27,26
27,38
27,31
27,43
27,4
27,32
27,31
27,34
27,3
27,3
26,94

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205221&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205221&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205221&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0123.17092313853650.057466783077327
0.0223.21216995885870.0942153506512202
0.0323.26746688640170.121104235366868
0.0423.32995002679090.139689969668978
0.0523.39497958118230.154338077346938
0.0623.45978718522720.163789272835903
0.0723.52232972964440.165035741520608
0.0823.58077172614840.157676331285887
0.0923.63369689891390.144476893408706
0.123.6805191979770.129897032943033
0.1123.72165629766130.118288483630334
0.1223.75837025494940.11268609605545
0.1323.79240644106940.114455003408836
0.1423.8256000440370.123098647372822
0.1523.85955661368870.136924538502382
0.1623.89544325057190.153594229366513
0.1723.93388983949840.170645453215012
0.1823.97499059815550.185859661216667
0.1924.01839620521590.197593599431677
0.224.06348296684720.205223128354637
0.2124.10957603108260.209201957985692
0.2224.15619351497430.211313183240235
0.2324.20327311572810.214593519490487
0.2424.25134474789520.223065177309293
0.2524.3016208896610.241257585012796
0.2624.35598776092330.2731546357053
0.2724.41689259237650.321332527564355
0.2824.48713384798850.38646085460003
0.2924.56957230630430.467335114061323
0.324.66679157962190.560824251671174
0.3124.78074634249910.662355835706469
0.3224.91244343774290.765688181834661
0.3325.06170256599080.863782060942529
0.3425.22703721727020.949340946011367
0.3525.4056821700951.01561841036831
0.3625.59377283141861.05728334529618
0.3725.78665767618581.07111790886518
0.3825.97930311380981.05625055765013
0.3926.16673517293841.01426736644827
0.426.3444577979890.948946416463101
0.4126.50879410876860.865693128104199
0.4226.65711281177330.770785185527957
0.4326.7879231315740.670680338671938
0.4426.90084333502430.571275315563288
0.4526.99646576345670.477465249597974
0.4627.07615234981650.392954196519226
0.4727.14179791888140.320084561673358
0.4827.19559503749990.259899228576654
0.4927.23982596039820.212564458865768
0.527.27669695813080.17736804010148
0.5127.30822043062750.153186827243103
0.5227.33614238942190.138430533180376
0.5327.36190791911670.131204720780971
0.5427.38665508410480.129584284497226
0.5527.41122786627290.131745150262931
0.5627.43620029836910.136110395950726
0.5727.46190619931490.141429026034901
0.5827.4884711850440.146663755074661
0.5927.51584549819310.150955695973429
0.627.54383745014080.15366195354586
0.6127.57214783785810.154394214396446
0.6227.60040564352360.152842666650149
0.6327.62820479332650.148900647754003
0.6427.65514095431290.142710210901358
0.6527.68084653138150.13457241847349
0.6627.70502143386380.124897744031409
0.6727.72745700447730.114266542913611
0.6827.74805084003720.103272262298701
0.6927.76681106189310.0925579541352132
0.727.78384978116890.0826601065311384
0.7127.79936683919230.0740361468232718
0.7227.81362615160820.0670584162349442
0.7327.82692793529880.0618114168507974
0.7427.83958059933370.0583116849902753
0.7527.85187605667390.0563262072766613
0.7627.86407165761940.0555205150577424
0.7727.87638092585990.055628258625554
0.7827.88897393279310.0562971754158963
0.7927.90198668403680.0572976842123835
0.827.91553756642530.0585503961232917
0.8127.92974794927170.0600476602752376
0.8227.94476357433490.0619193954403551
0.8327.96077333196350.0643131736782054
0.8427.97802212899120.0674180266577811
0.8527.99681447272110.071413541275057
0.8628.01750506189750.0764184705320789
0.8728.04047269990170.0823835197607973
0.8828.06607564478230.0890291444291392
0.8928.09459159181020.0958943546069234
0.928.12615335187760.102192169478018
0.9128.16069653508250.107010939962535
0.9228.19792734964790.109509903032104
0.9328.23728874833890.109130314777499
0.9428.27786571272930.105544685859863
0.9528.31817995754050.0980985501732582
0.9628.35595247387850.0852724028036506
0.9728.38814719943430.0654759326389116
0.9828.41172907801680.0399129970017283
0.9928.42519731300860.0150027770107115

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 23.1709231385365 & 0.057466783077327 \tabularnewline
0.02 & 23.2121699588587 & 0.0942153506512202 \tabularnewline
0.03 & 23.2674668864017 & 0.121104235366868 \tabularnewline
0.04 & 23.3299500267909 & 0.139689969668978 \tabularnewline
0.05 & 23.3949795811823 & 0.154338077346938 \tabularnewline
0.06 & 23.4597871852272 & 0.163789272835903 \tabularnewline
0.07 & 23.5223297296444 & 0.165035741520608 \tabularnewline
0.08 & 23.5807717261484 & 0.157676331285887 \tabularnewline
0.09 & 23.6336968989139 & 0.144476893408706 \tabularnewline
0.1 & 23.680519197977 & 0.129897032943033 \tabularnewline
0.11 & 23.7216562976613 & 0.118288483630334 \tabularnewline
0.12 & 23.7583702549494 & 0.11268609605545 \tabularnewline
0.13 & 23.7924064410694 & 0.114455003408836 \tabularnewline
0.14 & 23.825600044037 & 0.123098647372822 \tabularnewline
0.15 & 23.8595566136887 & 0.136924538502382 \tabularnewline
0.16 & 23.8954432505719 & 0.153594229366513 \tabularnewline
0.17 & 23.9338898394984 & 0.170645453215012 \tabularnewline
0.18 & 23.9749905981555 & 0.185859661216667 \tabularnewline
0.19 & 24.0183962052159 & 0.197593599431677 \tabularnewline
0.2 & 24.0634829668472 & 0.205223128354637 \tabularnewline
0.21 & 24.1095760310826 & 0.209201957985692 \tabularnewline
0.22 & 24.1561935149743 & 0.211313183240235 \tabularnewline
0.23 & 24.2032731157281 & 0.214593519490487 \tabularnewline
0.24 & 24.2513447478952 & 0.223065177309293 \tabularnewline
0.25 & 24.301620889661 & 0.241257585012796 \tabularnewline
0.26 & 24.3559877609233 & 0.2731546357053 \tabularnewline
0.27 & 24.4168925923765 & 0.321332527564355 \tabularnewline
0.28 & 24.4871338479885 & 0.38646085460003 \tabularnewline
0.29 & 24.5695723063043 & 0.467335114061323 \tabularnewline
0.3 & 24.6667915796219 & 0.560824251671174 \tabularnewline
0.31 & 24.7807463424991 & 0.662355835706469 \tabularnewline
0.32 & 24.9124434377429 & 0.765688181834661 \tabularnewline
0.33 & 25.0617025659908 & 0.863782060942529 \tabularnewline
0.34 & 25.2270372172702 & 0.949340946011367 \tabularnewline
0.35 & 25.405682170095 & 1.01561841036831 \tabularnewline
0.36 & 25.5937728314186 & 1.05728334529618 \tabularnewline
0.37 & 25.7866576761858 & 1.07111790886518 \tabularnewline
0.38 & 25.9793031138098 & 1.05625055765013 \tabularnewline
0.39 & 26.1667351729384 & 1.01426736644827 \tabularnewline
0.4 & 26.344457797989 & 0.948946416463101 \tabularnewline
0.41 & 26.5087941087686 & 0.865693128104199 \tabularnewline
0.42 & 26.6571128117733 & 0.770785185527957 \tabularnewline
0.43 & 26.787923131574 & 0.670680338671938 \tabularnewline
0.44 & 26.9008433350243 & 0.571275315563288 \tabularnewline
0.45 & 26.9964657634567 & 0.477465249597974 \tabularnewline
0.46 & 27.0761523498165 & 0.392954196519226 \tabularnewline
0.47 & 27.1417979188814 & 0.320084561673358 \tabularnewline
0.48 & 27.1955950374999 & 0.259899228576654 \tabularnewline
0.49 & 27.2398259603982 & 0.212564458865768 \tabularnewline
0.5 & 27.2766969581308 & 0.17736804010148 \tabularnewline
0.51 & 27.3082204306275 & 0.153186827243103 \tabularnewline
0.52 & 27.3361423894219 & 0.138430533180376 \tabularnewline
0.53 & 27.3619079191167 & 0.131204720780971 \tabularnewline
0.54 & 27.3866550841048 & 0.129584284497226 \tabularnewline
0.55 & 27.4112278662729 & 0.131745150262931 \tabularnewline
0.56 & 27.4362002983691 & 0.136110395950726 \tabularnewline
0.57 & 27.4619061993149 & 0.141429026034901 \tabularnewline
0.58 & 27.488471185044 & 0.146663755074661 \tabularnewline
0.59 & 27.5158454981931 & 0.150955695973429 \tabularnewline
0.6 & 27.5438374501408 & 0.15366195354586 \tabularnewline
0.61 & 27.5721478378581 & 0.154394214396446 \tabularnewline
0.62 & 27.6004056435236 & 0.152842666650149 \tabularnewline
0.63 & 27.6282047933265 & 0.148900647754003 \tabularnewline
0.64 & 27.6551409543129 & 0.142710210901358 \tabularnewline
0.65 & 27.6808465313815 & 0.13457241847349 \tabularnewline
0.66 & 27.7050214338638 & 0.124897744031409 \tabularnewline
0.67 & 27.7274570044773 & 0.114266542913611 \tabularnewline
0.68 & 27.7480508400372 & 0.103272262298701 \tabularnewline
0.69 & 27.7668110618931 & 0.0925579541352132 \tabularnewline
0.7 & 27.7838497811689 & 0.0826601065311384 \tabularnewline
0.71 & 27.7993668391923 & 0.0740361468232718 \tabularnewline
0.72 & 27.8136261516082 & 0.0670584162349442 \tabularnewline
0.73 & 27.8269279352988 & 0.0618114168507974 \tabularnewline
0.74 & 27.8395805993337 & 0.0583116849902753 \tabularnewline
0.75 & 27.8518760566739 & 0.0563262072766613 \tabularnewline
0.76 & 27.8640716576194 & 0.0555205150577424 \tabularnewline
0.77 & 27.8763809258599 & 0.055628258625554 \tabularnewline
0.78 & 27.8889739327931 & 0.0562971754158963 \tabularnewline
0.79 & 27.9019866840368 & 0.0572976842123835 \tabularnewline
0.8 & 27.9155375664253 & 0.0585503961232917 \tabularnewline
0.81 & 27.9297479492717 & 0.0600476602752376 \tabularnewline
0.82 & 27.9447635743349 & 0.0619193954403551 \tabularnewline
0.83 & 27.9607733319635 & 0.0643131736782054 \tabularnewline
0.84 & 27.9780221289912 & 0.0674180266577811 \tabularnewline
0.85 & 27.9968144727211 & 0.071413541275057 \tabularnewline
0.86 & 28.0175050618975 & 0.0764184705320789 \tabularnewline
0.87 & 28.0404726999017 & 0.0823835197607973 \tabularnewline
0.88 & 28.0660756447823 & 0.0890291444291392 \tabularnewline
0.89 & 28.0945915918102 & 0.0958943546069234 \tabularnewline
0.9 & 28.1261533518776 & 0.102192169478018 \tabularnewline
0.91 & 28.1606965350825 & 0.107010939962535 \tabularnewline
0.92 & 28.1979273496479 & 0.109509903032104 \tabularnewline
0.93 & 28.2372887483389 & 0.109130314777499 \tabularnewline
0.94 & 28.2778657127293 & 0.105544685859863 \tabularnewline
0.95 & 28.3181799575405 & 0.0980985501732582 \tabularnewline
0.96 & 28.3559524738785 & 0.0852724028036506 \tabularnewline
0.97 & 28.3881471994343 & 0.0654759326389116 \tabularnewline
0.98 & 28.4117290780168 & 0.0399129970017283 \tabularnewline
0.99 & 28.4251973130086 & 0.0150027770107115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205221&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]23.1709231385365[/C][C]0.057466783077327[/C][/ROW]
[ROW][C]0.02[/C][C]23.2121699588587[/C][C]0.0942153506512202[/C][/ROW]
[ROW][C]0.03[/C][C]23.2674668864017[/C][C]0.121104235366868[/C][/ROW]
[ROW][C]0.04[/C][C]23.3299500267909[/C][C]0.139689969668978[/C][/ROW]
[ROW][C]0.05[/C][C]23.3949795811823[/C][C]0.154338077346938[/C][/ROW]
[ROW][C]0.06[/C][C]23.4597871852272[/C][C]0.163789272835903[/C][/ROW]
[ROW][C]0.07[/C][C]23.5223297296444[/C][C]0.165035741520608[/C][/ROW]
[ROW][C]0.08[/C][C]23.5807717261484[/C][C]0.157676331285887[/C][/ROW]
[ROW][C]0.09[/C][C]23.6336968989139[/C][C]0.144476893408706[/C][/ROW]
[ROW][C]0.1[/C][C]23.680519197977[/C][C]0.129897032943033[/C][/ROW]
[ROW][C]0.11[/C][C]23.7216562976613[/C][C]0.118288483630334[/C][/ROW]
[ROW][C]0.12[/C][C]23.7583702549494[/C][C]0.11268609605545[/C][/ROW]
[ROW][C]0.13[/C][C]23.7924064410694[/C][C]0.114455003408836[/C][/ROW]
[ROW][C]0.14[/C][C]23.825600044037[/C][C]0.123098647372822[/C][/ROW]
[ROW][C]0.15[/C][C]23.8595566136887[/C][C]0.136924538502382[/C][/ROW]
[ROW][C]0.16[/C][C]23.8954432505719[/C][C]0.153594229366513[/C][/ROW]
[ROW][C]0.17[/C][C]23.9338898394984[/C][C]0.170645453215012[/C][/ROW]
[ROW][C]0.18[/C][C]23.9749905981555[/C][C]0.185859661216667[/C][/ROW]
[ROW][C]0.19[/C][C]24.0183962052159[/C][C]0.197593599431677[/C][/ROW]
[ROW][C]0.2[/C][C]24.0634829668472[/C][C]0.205223128354637[/C][/ROW]
[ROW][C]0.21[/C][C]24.1095760310826[/C][C]0.209201957985692[/C][/ROW]
[ROW][C]0.22[/C][C]24.1561935149743[/C][C]0.211313183240235[/C][/ROW]
[ROW][C]0.23[/C][C]24.2032731157281[/C][C]0.214593519490487[/C][/ROW]
[ROW][C]0.24[/C][C]24.2513447478952[/C][C]0.223065177309293[/C][/ROW]
[ROW][C]0.25[/C][C]24.301620889661[/C][C]0.241257585012796[/C][/ROW]
[ROW][C]0.26[/C][C]24.3559877609233[/C][C]0.2731546357053[/C][/ROW]
[ROW][C]0.27[/C][C]24.4168925923765[/C][C]0.321332527564355[/C][/ROW]
[ROW][C]0.28[/C][C]24.4871338479885[/C][C]0.38646085460003[/C][/ROW]
[ROW][C]0.29[/C][C]24.5695723063043[/C][C]0.467335114061323[/C][/ROW]
[ROW][C]0.3[/C][C]24.6667915796219[/C][C]0.560824251671174[/C][/ROW]
[ROW][C]0.31[/C][C]24.7807463424991[/C][C]0.662355835706469[/C][/ROW]
[ROW][C]0.32[/C][C]24.9124434377429[/C][C]0.765688181834661[/C][/ROW]
[ROW][C]0.33[/C][C]25.0617025659908[/C][C]0.863782060942529[/C][/ROW]
[ROW][C]0.34[/C][C]25.2270372172702[/C][C]0.949340946011367[/C][/ROW]
[ROW][C]0.35[/C][C]25.405682170095[/C][C]1.01561841036831[/C][/ROW]
[ROW][C]0.36[/C][C]25.5937728314186[/C][C]1.05728334529618[/C][/ROW]
[ROW][C]0.37[/C][C]25.7866576761858[/C][C]1.07111790886518[/C][/ROW]
[ROW][C]0.38[/C][C]25.9793031138098[/C][C]1.05625055765013[/C][/ROW]
[ROW][C]0.39[/C][C]26.1667351729384[/C][C]1.01426736644827[/C][/ROW]
[ROW][C]0.4[/C][C]26.344457797989[/C][C]0.948946416463101[/C][/ROW]
[ROW][C]0.41[/C][C]26.5087941087686[/C][C]0.865693128104199[/C][/ROW]
[ROW][C]0.42[/C][C]26.6571128117733[/C][C]0.770785185527957[/C][/ROW]
[ROW][C]0.43[/C][C]26.787923131574[/C][C]0.670680338671938[/C][/ROW]
[ROW][C]0.44[/C][C]26.9008433350243[/C][C]0.571275315563288[/C][/ROW]
[ROW][C]0.45[/C][C]26.9964657634567[/C][C]0.477465249597974[/C][/ROW]
[ROW][C]0.46[/C][C]27.0761523498165[/C][C]0.392954196519226[/C][/ROW]
[ROW][C]0.47[/C][C]27.1417979188814[/C][C]0.320084561673358[/C][/ROW]
[ROW][C]0.48[/C][C]27.1955950374999[/C][C]0.259899228576654[/C][/ROW]
[ROW][C]0.49[/C][C]27.2398259603982[/C][C]0.212564458865768[/C][/ROW]
[ROW][C]0.5[/C][C]27.2766969581308[/C][C]0.17736804010148[/C][/ROW]
[ROW][C]0.51[/C][C]27.3082204306275[/C][C]0.153186827243103[/C][/ROW]
[ROW][C]0.52[/C][C]27.3361423894219[/C][C]0.138430533180376[/C][/ROW]
[ROW][C]0.53[/C][C]27.3619079191167[/C][C]0.131204720780971[/C][/ROW]
[ROW][C]0.54[/C][C]27.3866550841048[/C][C]0.129584284497226[/C][/ROW]
[ROW][C]0.55[/C][C]27.4112278662729[/C][C]0.131745150262931[/C][/ROW]
[ROW][C]0.56[/C][C]27.4362002983691[/C][C]0.136110395950726[/C][/ROW]
[ROW][C]0.57[/C][C]27.4619061993149[/C][C]0.141429026034901[/C][/ROW]
[ROW][C]0.58[/C][C]27.488471185044[/C][C]0.146663755074661[/C][/ROW]
[ROW][C]0.59[/C][C]27.5158454981931[/C][C]0.150955695973429[/C][/ROW]
[ROW][C]0.6[/C][C]27.5438374501408[/C][C]0.15366195354586[/C][/ROW]
[ROW][C]0.61[/C][C]27.5721478378581[/C][C]0.154394214396446[/C][/ROW]
[ROW][C]0.62[/C][C]27.6004056435236[/C][C]0.152842666650149[/C][/ROW]
[ROW][C]0.63[/C][C]27.6282047933265[/C][C]0.148900647754003[/C][/ROW]
[ROW][C]0.64[/C][C]27.6551409543129[/C][C]0.142710210901358[/C][/ROW]
[ROW][C]0.65[/C][C]27.6808465313815[/C][C]0.13457241847349[/C][/ROW]
[ROW][C]0.66[/C][C]27.7050214338638[/C][C]0.124897744031409[/C][/ROW]
[ROW][C]0.67[/C][C]27.7274570044773[/C][C]0.114266542913611[/C][/ROW]
[ROW][C]0.68[/C][C]27.7480508400372[/C][C]0.103272262298701[/C][/ROW]
[ROW][C]0.69[/C][C]27.7668110618931[/C][C]0.0925579541352132[/C][/ROW]
[ROW][C]0.7[/C][C]27.7838497811689[/C][C]0.0826601065311384[/C][/ROW]
[ROW][C]0.71[/C][C]27.7993668391923[/C][C]0.0740361468232718[/C][/ROW]
[ROW][C]0.72[/C][C]27.8136261516082[/C][C]0.0670584162349442[/C][/ROW]
[ROW][C]0.73[/C][C]27.8269279352988[/C][C]0.0618114168507974[/C][/ROW]
[ROW][C]0.74[/C][C]27.8395805993337[/C][C]0.0583116849902753[/C][/ROW]
[ROW][C]0.75[/C][C]27.8518760566739[/C][C]0.0563262072766613[/C][/ROW]
[ROW][C]0.76[/C][C]27.8640716576194[/C][C]0.0555205150577424[/C][/ROW]
[ROW][C]0.77[/C][C]27.8763809258599[/C][C]0.055628258625554[/C][/ROW]
[ROW][C]0.78[/C][C]27.8889739327931[/C][C]0.0562971754158963[/C][/ROW]
[ROW][C]0.79[/C][C]27.9019866840368[/C][C]0.0572976842123835[/C][/ROW]
[ROW][C]0.8[/C][C]27.9155375664253[/C][C]0.0585503961232917[/C][/ROW]
[ROW][C]0.81[/C][C]27.9297479492717[/C][C]0.0600476602752376[/C][/ROW]
[ROW][C]0.82[/C][C]27.9447635743349[/C][C]0.0619193954403551[/C][/ROW]
[ROW][C]0.83[/C][C]27.9607733319635[/C][C]0.0643131736782054[/C][/ROW]
[ROW][C]0.84[/C][C]27.9780221289912[/C][C]0.0674180266577811[/C][/ROW]
[ROW][C]0.85[/C][C]27.9968144727211[/C][C]0.071413541275057[/C][/ROW]
[ROW][C]0.86[/C][C]28.0175050618975[/C][C]0.0764184705320789[/C][/ROW]
[ROW][C]0.87[/C][C]28.0404726999017[/C][C]0.0823835197607973[/C][/ROW]
[ROW][C]0.88[/C][C]28.0660756447823[/C][C]0.0890291444291392[/C][/ROW]
[ROW][C]0.89[/C][C]28.0945915918102[/C][C]0.0958943546069234[/C][/ROW]
[ROW][C]0.9[/C][C]28.1261533518776[/C][C]0.102192169478018[/C][/ROW]
[ROW][C]0.91[/C][C]28.1606965350825[/C][C]0.107010939962535[/C][/ROW]
[ROW][C]0.92[/C][C]28.1979273496479[/C][C]0.109509903032104[/C][/ROW]
[ROW][C]0.93[/C][C]28.2372887483389[/C][C]0.109130314777499[/C][/ROW]
[ROW][C]0.94[/C][C]28.2778657127293[/C][C]0.105544685859863[/C][/ROW]
[ROW][C]0.95[/C][C]28.3181799575405[/C][C]0.0980985501732582[/C][/ROW]
[ROW][C]0.96[/C][C]28.3559524738785[/C][C]0.0852724028036506[/C][/ROW]
[ROW][C]0.97[/C][C]28.3881471994343[/C][C]0.0654759326389116[/C][/ROW]
[ROW][C]0.98[/C][C]28.4117290780168[/C][C]0.0399129970017283[/C][/ROW]
[ROW][C]0.99[/C][C]28.4251973130086[/C][C]0.0150027770107115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205221&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205221&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
0.0123.17092313853650.057466783077327
0.0223.21216995885870.0942153506512202
0.0323.26746688640170.121104235366868
0.0423.32995002679090.139689969668978
0.0523.39497958118230.154338077346938
0.0623.45978718522720.163789272835903
0.0723.52232972964440.165035741520608
0.0823.58077172614840.157676331285887
0.0923.63369689891390.144476893408706
0.123.6805191979770.129897032943033
0.1123.72165629766130.118288483630334
0.1223.75837025494940.11268609605545
0.1323.79240644106940.114455003408836
0.1423.8256000440370.123098647372822
0.1523.85955661368870.136924538502382
0.1623.89544325057190.153594229366513
0.1723.93388983949840.170645453215012
0.1823.97499059815550.185859661216667
0.1924.01839620521590.197593599431677
0.224.06348296684720.205223128354637
0.2124.10957603108260.209201957985692
0.2224.15619351497430.211313183240235
0.2324.20327311572810.214593519490487
0.2424.25134474789520.223065177309293
0.2524.3016208896610.241257585012796
0.2624.35598776092330.2731546357053
0.2724.41689259237650.321332527564355
0.2824.48713384798850.38646085460003
0.2924.56957230630430.467335114061323
0.324.66679157962190.560824251671174
0.3124.78074634249910.662355835706469
0.3224.91244343774290.765688181834661
0.3325.06170256599080.863782060942529
0.3425.22703721727020.949340946011367
0.3525.4056821700951.01561841036831
0.3625.59377283141861.05728334529618
0.3725.78665767618581.07111790886518
0.3825.97930311380981.05625055765013
0.3926.16673517293841.01426736644827
0.426.3444577979890.948946416463101
0.4126.50879410876860.865693128104199
0.4226.65711281177330.770785185527957
0.4326.7879231315740.670680338671938
0.4426.90084333502430.571275315563288
0.4526.99646576345670.477465249597974
0.4627.07615234981650.392954196519226
0.4727.14179791888140.320084561673358
0.4827.19559503749990.259899228576654
0.4927.23982596039820.212564458865768
0.527.27669695813080.17736804010148
0.5127.30822043062750.153186827243103
0.5227.33614238942190.138430533180376
0.5327.36190791911670.131204720780971
0.5427.38665508410480.129584284497226
0.5527.41122786627290.131745150262931
0.5627.43620029836910.136110395950726
0.5727.46190619931490.141429026034901
0.5827.4884711850440.146663755074661
0.5927.51584549819310.150955695973429
0.627.54383745014080.15366195354586
0.6127.57214783785810.154394214396446
0.6227.60040564352360.152842666650149
0.6327.62820479332650.148900647754003
0.6427.65514095431290.142710210901358
0.6527.68084653138150.13457241847349
0.6627.70502143386380.124897744031409
0.6727.72745700447730.114266542913611
0.6827.74805084003720.103272262298701
0.6927.76681106189310.0925579541352132
0.727.78384978116890.0826601065311384
0.7127.79936683919230.0740361468232718
0.7227.81362615160820.0670584162349442
0.7327.82692793529880.0618114168507974
0.7427.83958059933370.0583116849902753
0.7527.85187605667390.0563262072766613
0.7627.86407165761940.0555205150577424
0.7727.87638092585990.055628258625554
0.7827.88897393279310.0562971754158963
0.7927.90198668403680.0572976842123835
0.827.91553756642530.0585503961232917
0.8127.92974794927170.0600476602752376
0.8227.94476357433490.0619193954403551
0.8327.96077333196350.0643131736782054
0.8427.97802212899120.0674180266577811
0.8527.99681447272110.071413541275057
0.8628.01750506189750.0764184705320789
0.8728.04047269990170.0823835197607973
0.8828.06607564478230.0890291444291392
0.8928.09459159181020.0958943546069234
0.928.12615335187760.102192169478018
0.9128.16069653508250.107010939962535
0.9228.19792734964790.109509903032104
0.9328.23728874833890.109130314777499
0.9428.27786571272930.105544685859863
0.9528.31817995754050.0980985501732582
0.9628.35595247387850.0852724028036506
0.9728.38814719943430.0654759326389116
0.9828.41172907801680.0399129970017283
0.9928.42519731300860.0150027770107115


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')