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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, 12 Oct 2010 17:49:43 +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/2010/Oct/12/t1286905805h9jf9z44cvx8buo.htm/, Retrieved Tue, 30 Apr 2024 20:02:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83021, Retrieved Tue, 30 Apr 2024 20:02:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact94

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4 oefening...] [2010-10-12 17:49:43] [93d384e9a6425954483697e7ea0f3a20] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.23
105.22
105.13
105
105.01
105.01
105.01
105.01
105.57
106.05
106.09
106.2
106.19
106.2
106.09
106.23
106.23
106.22
106.22
106.61
106.95
107.74
107.8
107.8
107.2
107.56
107.72
108.14
108.16
108.16
108.16
108.1
108.95
110.49
110.72
110.82
110.82
110.75
110.71
110.86
110.84
110.84
110.84
110.92
111.46
112.46
113.04
113.15
113.15
113.21
113.37
113.47
113.71
113.71
113.71
113.8
115.46
117
117.94
118.08
118.08
118.47
118.49
118.45
118.54
118.55
118.55
118.55
119.04
121.37
122
122.14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83021&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83021&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.0029418653870.00844158543055659
0.02105.0081914825630.0117192817506092
0.03105.0167793827340.0265178032826505
0.04105.0317116366070.0540697091293349
0.05105.0568015017120.0941046392660373
0.06105.0953966822470.144587044549159
0.07105.1496136740680.202192304409109
0.08105.2199785232160.261661936377210
0.09105.3052918622460.316569147440922
0.1105.4026762772290.359917105432221
0.11105.5078664497740.385944961506882
0.12105.6157813637920.391626229897031
0.13105.7213069529480.37774605530437
0.14105.8201107329550.348521703845008
0.15105.9092836279500.310391609555979
0.16105.9876692652430.270932232238799
0.17106.0558516609250.237430131360730
0.18106.1158688337880.216099822804981
0.19106.1707666853710.211731597307653
0.2106.2241035391700.226081616827838
0.21106.2794829672710.25750995691679
0.22106.3401564080510.302557649162216
0.23106.4087131473530.356608311930276
0.24106.4868659847990.414939099557708
0.25106.5753401223350.472606443454403
0.26106.6738722432270.525149413366542
0.27106.7813210691650.568806814515563
0.28106.8958792376400.600797365543363
0.29107.0153621984850.620340279094261
0.3107.1375375114040.62819506952251
0.31107.2604512013830.626576878151267
0.32107.3827083806560.619507973339897
0.33107.5036725840500.611624633541944
0.34107.6235600228260.608253734695971
0.35107.7434185929140.614489723450336
0.36107.8649948184280.634037250095811
0.37107.9905037824900.669070250558406
0.38108.1223271699630.719530456657347
0.39108.2626728283630.782592833283871
0.4108.4132354654880.853754785567908
0.41108.5749013266400.926832376061008
0.42108.7475384959670.995153690415576
0.43108.9299074758301.05197520031823
0.44109.1197134040201.09125465450945
0.45109.3138026548931.10880901015037
0.46109.5084852716451.10251830243297
0.47109.6999445153201.07275100370558
0.48109.8846798411241.02250027625447
0.49110.0599229765020.95688118550917
0.5110.2239698517730.883180646146967
0.51110.3763831956250.809018806484158
0.52110.5180391488320.742963679863598
0.53110.6510127954530.69277970218333
0.54110.7783185746190.664339243187872
0.55110.9035393713130.66095205753286
0.56111.0303910048480.681932582470353
0.57111.1622760920190.722913889707827
0.58111.3018826774500.777274768368996
0.59111.4508786344180.836939778841098
0.6111.6097428040340.89431835416814
0.61111.7777586379090.942244133135982
0.62111.9531768887980.975515937402214
0.63112.1335327032210.990914033126355
0.64112.3160821142760.987951047147359
0.65112.4983063904010.96889056070147
0.66112.6784222797230.938955821089715
0.67112.8558328384350.90563567848193
0.68113.0314566525020.878252053329479
0.69113.2078813386590.867252917004726
0.7113.3892989994670.882497694714491
0.71113.5811970243550.931194908231266
0.72113.7897993209221.01580535380874
0.73114.0212835363841.13313908219498
0.74114.2808401620631.27417394241524
0.75114.5716859321601.42571407051711
0.76114.8941863396911.57108166575866
0.77115.2452645010081.69222705171056
0.78115.6182592630261.77204563119525
0.79116.0033343558431.79729607939429
0.8116.3884367790181.76071923922589
0.81116.7606784129561.66264382717223
0.82117.1079060199351.51104402274879
0.83117.4201702320221.32022012463558
0.84117.6908308907191.10834677493513
0.85117.9171474360350.894082020031712
0.86118.1003746401630.694164216664451
0.87118.2455692899840.521510165082024
0.88118.3614514698680.385746371598336
0.89118.4606801954670.296268460758033
0.9118.5607016292150.269691151838301
0.91118.6848031959400.327695407539077
0.92118.8621332929760.477683672522067
0.93119.1245062169280.710479739876102
0.94119.4976782870340.992873094518819
0.95119.9868531240681.25023412158118
0.96120.5612847938431.37044599678088
0.97121.1489781780211.25154679189218
0.98121.6532781185970.885478464267587
0.99121.9919116172600.422437408617434

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.002941865387 & 0.00844158543055659 \tabularnewline
0.02 & 105.008191482563 & 0.0117192817506092 \tabularnewline
0.03 & 105.016779382734 & 0.0265178032826505 \tabularnewline
0.04 & 105.031711636607 & 0.0540697091293349 \tabularnewline
0.05 & 105.056801501712 & 0.0941046392660373 \tabularnewline
0.06 & 105.095396682247 & 0.144587044549159 \tabularnewline
0.07 & 105.149613674068 & 0.202192304409109 \tabularnewline
0.08 & 105.219978523216 & 0.261661936377210 \tabularnewline
0.09 & 105.305291862246 & 0.316569147440922 \tabularnewline
0.1 & 105.402676277229 & 0.359917105432221 \tabularnewline
0.11 & 105.507866449774 & 0.385944961506882 \tabularnewline
0.12 & 105.615781363792 & 0.391626229897031 \tabularnewline
0.13 & 105.721306952948 & 0.37774605530437 \tabularnewline
0.14 & 105.820110732955 & 0.348521703845008 \tabularnewline
0.15 & 105.909283627950 & 0.310391609555979 \tabularnewline
0.16 & 105.987669265243 & 0.270932232238799 \tabularnewline
0.17 & 106.055851660925 & 0.237430131360730 \tabularnewline
0.18 & 106.115868833788 & 0.216099822804981 \tabularnewline
0.19 & 106.170766685371 & 0.211731597307653 \tabularnewline
0.2 & 106.224103539170 & 0.226081616827838 \tabularnewline
0.21 & 106.279482967271 & 0.25750995691679 \tabularnewline
0.22 & 106.340156408051 & 0.302557649162216 \tabularnewline
0.23 & 106.408713147353 & 0.356608311930276 \tabularnewline
0.24 & 106.486865984799 & 0.414939099557708 \tabularnewline
0.25 & 106.575340122335 & 0.472606443454403 \tabularnewline
0.26 & 106.673872243227 & 0.525149413366542 \tabularnewline
0.27 & 106.781321069165 & 0.568806814515563 \tabularnewline
0.28 & 106.895879237640 & 0.600797365543363 \tabularnewline
0.29 & 107.015362198485 & 0.620340279094261 \tabularnewline
0.3 & 107.137537511404 & 0.62819506952251 \tabularnewline
0.31 & 107.260451201383 & 0.626576878151267 \tabularnewline
0.32 & 107.382708380656 & 0.619507973339897 \tabularnewline
0.33 & 107.503672584050 & 0.611624633541944 \tabularnewline
0.34 & 107.623560022826 & 0.608253734695971 \tabularnewline
0.35 & 107.743418592914 & 0.614489723450336 \tabularnewline
0.36 & 107.864994818428 & 0.634037250095811 \tabularnewline
0.37 & 107.990503782490 & 0.669070250558406 \tabularnewline
0.38 & 108.122327169963 & 0.719530456657347 \tabularnewline
0.39 & 108.262672828363 & 0.782592833283871 \tabularnewline
0.4 & 108.413235465488 & 0.853754785567908 \tabularnewline
0.41 & 108.574901326640 & 0.926832376061008 \tabularnewline
0.42 & 108.747538495967 & 0.995153690415576 \tabularnewline
0.43 & 108.929907475830 & 1.05197520031823 \tabularnewline
0.44 & 109.119713404020 & 1.09125465450945 \tabularnewline
0.45 & 109.313802654893 & 1.10880901015037 \tabularnewline
0.46 & 109.508485271645 & 1.10251830243297 \tabularnewline
0.47 & 109.699944515320 & 1.07275100370558 \tabularnewline
0.48 & 109.884679841124 & 1.02250027625447 \tabularnewline
0.49 & 110.059922976502 & 0.95688118550917 \tabularnewline
0.5 & 110.223969851773 & 0.883180646146967 \tabularnewline
0.51 & 110.376383195625 & 0.809018806484158 \tabularnewline
0.52 & 110.518039148832 & 0.742963679863598 \tabularnewline
0.53 & 110.651012795453 & 0.69277970218333 \tabularnewline
0.54 & 110.778318574619 & 0.664339243187872 \tabularnewline
0.55 & 110.903539371313 & 0.66095205753286 \tabularnewline
0.56 & 111.030391004848 & 0.681932582470353 \tabularnewline
0.57 & 111.162276092019 & 0.722913889707827 \tabularnewline
0.58 & 111.301882677450 & 0.777274768368996 \tabularnewline
0.59 & 111.450878634418 & 0.836939778841098 \tabularnewline
0.6 & 111.609742804034 & 0.89431835416814 \tabularnewline
0.61 & 111.777758637909 & 0.942244133135982 \tabularnewline
0.62 & 111.953176888798 & 0.975515937402214 \tabularnewline
0.63 & 112.133532703221 & 0.990914033126355 \tabularnewline
0.64 & 112.316082114276 & 0.987951047147359 \tabularnewline
0.65 & 112.498306390401 & 0.96889056070147 \tabularnewline
0.66 & 112.678422279723 & 0.938955821089715 \tabularnewline
0.67 & 112.855832838435 & 0.90563567848193 \tabularnewline
0.68 & 113.031456652502 & 0.878252053329479 \tabularnewline
0.69 & 113.207881338659 & 0.867252917004726 \tabularnewline
0.7 & 113.389298999467 & 0.882497694714491 \tabularnewline
0.71 & 113.581197024355 & 0.931194908231266 \tabularnewline
0.72 & 113.789799320922 & 1.01580535380874 \tabularnewline
0.73 & 114.021283536384 & 1.13313908219498 \tabularnewline
0.74 & 114.280840162063 & 1.27417394241524 \tabularnewline
0.75 & 114.571685932160 & 1.42571407051711 \tabularnewline
0.76 & 114.894186339691 & 1.57108166575866 \tabularnewline
0.77 & 115.245264501008 & 1.69222705171056 \tabularnewline
0.78 & 115.618259263026 & 1.77204563119525 \tabularnewline
0.79 & 116.003334355843 & 1.79729607939429 \tabularnewline
0.8 & 116.388436779018 & 1.76071923922589 \tabularnewline
0.81 & 116.760678412956 & 1.66264382717223 \tabularnewline
0.82 & 117.107906019935 & 1.51104402274879 \tabularnewline
0.83 & 117.420170232022 & 1.32022012463558 \tabularnewline
0.84 & 117.690830890719 & 1.10834677493513 \tabularnewline
0.85 & 117.917147436035 & 0.894082020031712 \tabularnewline
0.86 & 118.100374640163 & 0.694164216664451 \tabularnewline
0.87 & 118.245569289984 & 0.521510165082024 \tabularnewline
0.88 & 118.361451469868 & 0.385746371598336 \tabularnewline
0.89 & 118.460680195467 & 0.296268460758033 \tabularnewline
0.9 & 118.560701629215 & 0.269691151838301 \tabularnewline
0.91 & 118.684803195940 & 0.327695407539077 \tabularnewline
0.92 & 118.862133292976 & 0.477683672522067 \tabularnewline
0.93 & 119.124506216928 & 0.710479739876102 \tabularnewline
0.94 & 119.497678287034 & 0.992873094518819 \tabularnewline
0.95 & 119.986853124068 & 1.25023412158118 \tabularnewline
0.96 & 120.561284793843 & 1.37044599678088 \tabularnewline
0.97 & 121.148978178021 & 1.25154679189218 \tabularnewline
0.98 & 121.653278118597 & 0.885478464267587 \tabularnewline
0.99 & 121.991911617260 & 0.422437408617434 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83021&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]105.002941865387[/C][C]0.00844158543055659[/C][/ROW]
[ROW][C]0.02[/C][C]105.008191482563[/C][C]0.0117192817506092[/C][/ROW]
[ROW][C]0.03[/C][C]105.016779382734[/C][C]0.0265178032826505[/C][/ROW]
[ROW][C]0.04[/C][C]105.031711636607[/C][C]0.0540697091293349[/C][/ROW]
[ROW][C]0.05[/C][C]105.056801501712[/C][C]0.0941046392660373[/C][/ROW]
[ROW][C]0.06[/C][C]105.095396682247[/C][C]0.144587044549159[/C][/ROW]
[ROW][C]0.07[/C][C]105.149613674068[/C][C]0.202192304409109[/C][/ROW]
[ROW][C]0.08[/C][C]105.219978523216[/C][C]0.261661936377210[/C][/ROW]
[ROW][C]0.09[/C][C]105.305291862246[/C][C]0.316569147440922[/C][/ROW]
[ROW][C]0.1[/C][C]105.402676277229[/C][C]0.359917105432221[/C][/ROW]
[ROW][C]0.11[/C][C]105.507866449774[/C][C]0.385944961506882[/C][/ROW]
[ROW][C]0.12[/C][C]105.615781363792[/C][C]0.391626229897031[/C][/ROW]
[ROW][C]0.13[/C][C]105.721306952948[/C][C]0.37774605530437[/C][/ROW]
[ROW][C]0.14[/C][C]105.820110732955[/C][C]0.348521703845008[/C][/ROW]
[ROW][C]0.15[/C][C]105.909283627950[/C][C]0.310391609555979[/C][/ROW]
[ROW][C]0.16[/C][C]105.987669265243[/C][C]0.270932232238799[/C][/ROW]
[ROW][C]0.17[/C][C]106.055851660925[/C][C]0.237430131360730[/C][/ROW]
[ROW][C]0.18[/C][C]106.115868833788[/C][C]0.216099822804981[/C][/ROW]
[ROW][C]0.19[/C][C]106.170766685371[/C][C]0.211731597307653[/C][/ROW]
[ROW][C]0.2[/C][C]106.224103539170[/C][C]0.226081616827838[/C][/ROW]
[ROW][C]0.21[/C][C]106.279482967271[/C][C]0.25750995691679[/C][/ROW]
[ROW][C]0.22[/C][C]106.340156408051[/C][C]0.302557649162216[/C][/ROW]
[ROW][C]0.23[/C][C]106.408713147353[/C][C]0.356608311930276[/C][/ROW]
[ROW][C]0.24[/C][C]106.486865984799[/C][C]0.414939099557708[/C][/ROW]
[ROW][C]0.25[/C][C]106.575340122335[/C][C]0.472606443454403[/C][/ROW]
[ROW][C]0.26[/C][C]106.673872243227[/C][C]0.525149413366542[/C][/ROW]
[ROW][C]0.27[/C][C]106.781321069165[/C][C]0.568806814515563[/C][/ROW]
[ROW][C]0.28[/C][C]106.895879237640[/C][C]0.600797365543363[/C][/ROW]
[ROW][C]0.29[/C][C]107.015362198485[/C][C]0.620340279094261[/C][/ROW]
[ROW][C]0.3[/C][C]107.137537511404[/C][C]0.62819506952251[/C][/ROW]
[ROW][C]0.31[/C][C]107.260451201383[/C][C]0.626576878151267[/C][/ROW]
[ROW][C]0.32[/C][C]107.382708380656[/C][C]0.619507973339897[/C][/ROW]
[ROW][C]0.33[/C][C]107.503672584050[/C][C]0.611624633541944[/C][/ROW]
[ROW][C]0.34[/C][C]107.623560022826[/C][C]0.608253734695971[/C][/ROW]
[ROW][C]0.35[/C][C]107.743418592914[/C][C]0.614489723450336[/C][/ROW]
[ROW][C]0.36[/C][C]107.864994818428[/C][C]0.634037250095811[/C][/ROW]
[ROW][C]0.37[/C][C]107.990503782490[/C][C]0.669070250558406[/C][/ROW]
[ROW][C]0.38[/C][C]108.122327169963[/C][C]0.719530456657347[/C][/ROW]
[ROW][C]0.39[/C][C]108.262672828363[/C][C]0.782592833283871[/C][/ROW]
[ROW][C]0.4[/C][C]108.413235465488[/C][C]0.853754785567908[/C][/ROW]
[ROW][C]0.41[/C][C]108.574901326640[/C][C]0.926832376061008[/C][/ROW]
[ROW][C]0.42[/C][C]108.747538495967[/C][C]0.995153690415576[/C][/ROW]
[ROW][C]0.43[/C][C]108.929907475830[/C][C]1.05197520031823[/C][/ROW]
[ROW][C]0.44[/C][C]109.119713404020[/C][C]1.09125465450945[/C][/ROW]
[ROW][C]0.45[/C][C]109.313802654893[/C][C]1.10880901015037[/C][/ROW]
[ROW][C]0.46[/C][C]109.508485271645[/C][C]1.10251830243297[/C][/ROW]
[ROW][C]0.47[/C][C]109.699944515320[/C][C]1.07275100370558[/C][/ROW]
[ROW][C]0.48[/C][C]109.884679841124[/C][C]1.02250027625447[/C][/ROW]
[ROW][C]0.49[/C][C]110.059922976502[/C][C]0.95688118550917[/C][/ROW]
[ROW][C]0.5[/C][C]110.223969851773[/C][C]0.883180646146967[/C][/ROW]
[ROW][C]0.51[/C][C]110.376383195625[/C][C]0.809018806484158[/C][/ROW]
[ROW][C]0.52[/C][C]110.518039148832[/C][C]0.742963679863598[/C][/ROW]
[ROW][C]0.53[/C][C]110.651012795453[/C][C]0.69277970218333[/C][/ROW]
[ROW][C]0.54[/C][C]110.778318574619[/C][C]0.664339243187872[/C][/ROW]
[ROW][C]0.55[/C][C]110.903539371313[/C][C]0.66095205753286[/C][/ROW]
[ROW][C]0.56[/C][C]111.030391004848[/C][C]0.681932582470353[/C][/ROW]
[ROW][C]0.57[/C][C]111.162276092019[/C][C]0.722913889707827[/C][/ROW]
[ROW][C]0.58[/C][C]111.301882677450[/C][C]0.777274768368996[/C][/ROW]
[ROW][C]0.59[/C][C]111.450878634418[/C][C]0.836939778841098[/C][/ROW]
[ROW][C]0.6[/C][C]111.609742804034[/C][C]0.89431835416814[/C][/ROW]
[ROW][C]0.61[/C][C]111.777758637909[/C][C]0.942244133135982[/C][/ROW]
[ROW][C]0.62[/C][C]111.953176888798[/C][C]0.975515937402214[/C][/ROW]
[ROW][C]0.63[/C][C]112.133532703221[/C][C]0.990914033126355[/C][/ROW]
[ROW][C]0.64[/C][C]112.316082114276[/C][C]0.987951047147359[/C][/ROW]
[ROW][C]0.65[/C][C]112.498306390401[/C][C]0.96889056070147[/C][/ROW]
[ROW][C]0.66[/C][C]112.678422279723[/C][C]0.938955821089715[/C][/ROW]
[ROW][C]0.67[/C][C]112.855832838435[/C][C]0.90563567848193[/C][/ROW]
[ROW][C]0.68[/C][C]113.031456652502[/C][C]0.878252053329479[/C][/ROW]
[ROW][C]0.69[/C][C]113.207881338659[/C][C]0.867252917004726[/C][/ROW]
[ROW][C]0.7[/C][C]113.389298999467[/C][C]0.882497694714491[/C][/ROW]
[ROW][C]0.71[/C][C]113.581197024355[/C][C]0.931194908231266[/C][/ROW]
[ROW][C]0.72[/C][C]113.789799320922[/C][C]1.01580535380874[/C][/ROW]
[ROW][C]0.73[/C][C]114.021283536384[/C][C]1.13313908219498[/C][/ROW]
[ROW][C]0.74[/C][C]114.280840162063[/C][C]1.27417394241524[/C][/ROW]
[ROW][C]0.75[/C][C]114.571685932160[/C][C]1.42571407051711[/C][/ROW]
[ROW][C]0.76[/C][C]114.894186339691[/C][C]1.57108166575866[/C][/ROW]
[ROW][C]0.77[/C][C]115.245264501008[/C][C]1.69222705171056[/C][/ROW]
[ROW][C]0.78[/C][C]115.618259263026[/C][C]1.77204563119525[/C][/ROW]
[ROW][C]0.79[/C][C]116.003334355843[/C][C]1.79729607939429[/C][/ROW]
[ROW][C]0.8[/C][C]116.388436779018[/C][C]1.76071923922589[/C][/ROW]
[ROW][C]0.81[/C][C]116.760678412956[/C][C]1.66264382717223[/C][/ROW]
[ROW][C]0.82[/C][C]117.107906019935[/C][C]1.51104402274879[/C][/ROW]
[ROW][C]0.83[/C][C]117.420170232022[/C][C]1.32022012463558[/C][/ROW]
[ROW][C]0.84[/C][C]117.690830890719[/C][C]1.10834677493513[/C][/ROW]
[ROW][C]0.85[/C][C]117.917147436035[/C][C]0.894082020031712[/C][/ROW]
[ROW][C]0.86[/C][C]118.100374640163[/C][C]0.694164216664451[/C][/ROW]
[ROW][C]0.87[/C][C]118.245569289984[/C][C]0.521510165082024[/C][/ROW]
[ROW][C]0.88[/C][C]118.361451469868[/C][C]0.385746371598336[/C][/ROW]
[ROW][C]0.89[/C][C]118.460680195467[/C][C]0.296268460758033[/C][/ROW]
[ROW][C]0.9[/C][C]118.560701629215[/C][C]0.269691151838301[/C][/ROW]
[ROW][C]0.91[/C][C]118.684803195940[/C][C]0.327695407539077[/C][/ROW]
[ROW][C]0.92[/C][C]118.862133292976[/C][C]0.477683672522067[/C][/ROW]
[ROW][C]0.93[/C][C]119.124506216928[/C][C]0.710479739876102[/C][/ROW]
[ROW][C]0.94[/C][C]119.497678287034[/C][C]0.992873094518819[/C][/ROW]
[ROW][C]0.95[/C][C]119.986853124068[/C][C]1.25023412158118[/C][/ROW]
[ROW][C]0.96[/C][C]120.561284793843[/C][C]1.37044599678088[/C][/ROW]
[ROW][C]0.97[/C][C]121.148978178021[/C][C]1.25154679189218[/C][/ROW]
[ROW][C]0.98[/C][C]121.653278118597[/C][C]0.885478464267587[/C][/ROW]
[ROW][C]0.99[/C][C]121.991911617260[/C][C]0.422437408617434[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83021&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
0.01105.0029418653870.00844158543055659
0.02105.0081914825630.0117192817506092
0.03105.0167793827340.0265178032826505
0.04105.0317116366070.0540697091293349
0.05105.0568015017120.0941046392660373
0.06105.0953966822470.144587044549159
0.07105.1496136740680.202192304409109
0.08105.2199785232160.261661936377210
0.09105.3052918622460.316569147440922
0.1105.4026762772290.359917105432221
0.11105.5078664497740.385944961506882
0.12105.6157813637920.391626229897031
0.13105.7213069529480.37774605530437
0.14105.8201107329550.348521703845008
0.15105.9092836279500.310391609555979
0.16105.9876692652430.270932232238799
0.17106.0558516609250.237430131360730
0.18106.1158688337880.216099822804981
0.19106.1707666853710.211731597307653
0.2106.2241035391700.226081616827838
0.21106.2794829672710.25750995691679
0.22106.3401564080510.302557649162216
0.23106.4087131473530.356608311930276
0.24106.4868659847990.414939099557708
0.25106.5753401223350.472606443454403
0.26106.6738722432270.525149413366542
0.27106.7813210691650.568806814515563
0.28106.8958792376400.600797365543363
0.29107.0153621984850.620340279094261
0.3107.1375375114040.62819506952251
0.31107.2604512013830.626576878151267
0.32107.3827083806560.619507973339897
0.33107.5036725840500.611624633541944
0.34107.6235600228260.608253734695971
0.35107.7434185929140.614489723450336
0.36107.8649948184280.634037250095811
0.37107.9905037824900.669070250558406
0.38108.1223271699630.719530456657347
0.39108.2626728283630.782592833283871
0.4108.4132354654880.853754785567908
0.41108.5749013266400.926832376061008
0.42108.7475384959670.995153690415576
0.43108.9299074758301.05197520031823
0.44109.1197134040201.09125465450945
0.45109.3138026548931.10880901015037
0.46109.5084852716451.10251830243297
0.47109.6999445153201.07275100370558
0.48109.8846798411241.02250027625447
0.49110.0599229765020.95688118550917
0.5110.2239698517730.883180646146967
0.51110.3763831956250.809018806484158
0.52110.5180391488320.742963679863598
0.53110.6510127954530.69277970218333
0.54110.7783185746190.664339243187872
0.55110.9035393713130.66095205753286
0.56111.0303910048480.681932582470353
0.57111.1622760920190.722913889707827
0.58111.3018826774500.777274768368996
0.59111.4508786344180.836939778841098
0.6111.6097428040340.89431835416814
0.61111.7777586379090.942244133135982
0.62111.9531768887980.975515937402214
0.63112.1335327032210.990914033126355
0.64112.3160821142760.987951047147359
0.65112.4983063904010.96889056070147
0.66112.6784222797230.938955821089715
0.67112.8558328384350.90563567848193
0.68113.0314566525020.878252053329479
0.69113.2078813386590.867252917004726
0.7113.3892989994670.882497694714491
0.71113.5811970243550.931194908231266
0.72113.7897993209221.01580535380874
0.73114.0212835363841.13313908219498
0.74114.2808401620631.27417394241524
0.75114.5716859321601.42571407051711
0.76114.8941863396911.57108166575866
0.77115.2452645010081.69222705171056
0.78115.6182592630261.77204563119525
0.79116.0033343558431.79729607939429
0.8116.3884367790181.76071923922589
0.81116.7606784129561.66264382717223
0.82117.1079060199351.51104402274879
0.83117.4201702320221.32022012463558
0.84117.6908308907191.10834677493513
0.85117.9171474360350.894082020031712
0.86118.1003746401630.694164216664451
0.87118.2455692899840.521510165082024
0.88118.3614514698680.385746371598336
0.89118.4606801954670.296268460758033
0.9118.5607016292150.269691151838301
0.91118.6848031959400.327695407539077
0.92118.8621332929760.477683672522067
0.93119.1245062169280.710479739876102
0.94119.4976782870340.992873094518819
0.95119.9868531240681.25023412158118
0.96120.5612847938431.37044599678088
0.97121.1489781780211.25154679189218
0.98121.6532781185970.885478464267587
0.99121.9919116172600.422437408617434


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')