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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, 17 Feb 2012 06:18:01 -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/2012/Feb/17/t1329477566e9i7me2tfv88bcp.htm/, Retrieved Sat, 27 Apr 2024 07:20:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162755, Retrieved Sat, 27 Apr 2024 07:20:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2012-02-17 11:18:01] [1f4a81ae6fe0e483feb8688127b64584] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.78
104.87
105.06
105.14
105.32
105.54
105.68
105.77
106.07
106.03
106.13
106.28
106.61
106.74
107.01
107.1
107.28
107.4
107.59
107.69
107.78
108.02
108
108.07
108.36
108.74
108.99
109.21
109.31
109.41
109.54
109.81
109.85
110.01
110.23
110.28
110.79
110.91
111.21
111.44
111.52
111.85
112.03
111.9
112.11
112.15
112.09
112.13
112.45
112.5
112.72
112.72
112.83
112.95
112.98
113.07
113.1
113.16
113.2
113.3
113.48
113.67
113.81
113.94
114.13
114.19
114.21
114.21
114.35
114.54
114.51
114.53

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162755&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162755&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162755&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01104.8216701075270.114008792833525
0.02104.8962713781990.15534845859593
0.03104.9900247112070.193914088370671
0.04105.0931051343460.227773090395653
0.05105.2008774699710.259163086918901
0.06105.3112987650110.286333958403113
0.07105.4229600297990.30697846728643
0.08105.5345057115140.321182915128703
0.09105.6448553559690.331549848266958
0.1105.7535558519720.341566745690811
0.11105.8609044058940.354121059573217
0.12105.9677961515370.371059485844913
0.13106.0754072735690.392702427983052
0.14106.1848460182040.417728078940371
0.15106.2968685224840.443833720155999
0.16106.4117140607810.468410455939785
0.17106.5290775994380.488975702863952
0.18106.6482056081780.504115132194934
0.19106.768076037960.513169517426757
0.2106.8876107486040.516881098963257
0.21107.0058712993980.516373010898862
0.22107.1222037890680.513334248331281
0.23107.2363179902480.509960144269343
0.24107.348302916230.507944192588646
0.25107.4585909370240.508817975798383
0.26107.5678854447540.513655730979685
0.27107.6770654839710.523490502262147
0.28107.7870780601840.538360295116937
0.29107.8988273643180.557469751967485
0.3108.0130704908750.579993664470377
0.31108.1303304387760.604310463383772
0.32108.250837608830.628328441921887
0.33108.3745092233480.650428905947283
0.34108.5009715764950.668775417713339
0.35108.6296233957920.682417718721129
0.36108.7597313613710.691073712218152
0.37108.8905428288180.694934478434162
0.38109.0213975761470.694891731729967
0.39109.1518207151750.692732094345696
0.4109.2815825908240.68979718787376
0.41109.4107175485340.688120106037527
0.42109.5395004492120.688973253487472
0.43109.6683863199420.693204814185423
0.44109.79792346550.700963387114025
0.45109.9286531764510.71197729966442
0.46110.0610098146690.725159956369725
0.47110.1952338666690.738990737978436
0.48110.3313080403250.751704092139113
0.49110.4689231750320.761473856760734
0.5110.6074771048040.766500873351928
0.51110.7461060289520.765544745626196
0.52110.8837446903860.757656018505089
0.53111.0192089505460.742297328107559
0.54111.1512923323940.719683773465145
0.55111.2788668675760.690526203996735
0.56111.400978168550.656190725177273
0.57111.5169250584550.617997095180765
0.58111.6263153325940.578344013101107
0.59111.7290912991340.538850878722738
0.6111.8255216327140.501607630148167
0.61111.9161596663350.468139505884271
0.62112.0017722771120.439825666478905
0.63112.0832475179690.417151439599372
0.64112.1614924609580.400009458446456
0.65112.2373346443660.387640129593021
0.66112.3114404897550.378602252568938
0.67112.3842618568960.371605923336786
0.68112.4560177933440.364963260229884
0.69112.5267132413770.357403666598204
0.7112.5961910152590.348171028010395
0.71112.6642087870750.336966134032061
0.72112.7305298442190.32409276385239
0.73112.795015223450.310117115189694
0.74112.8577051953860.296230122990578
0.75112.9188793867960.28373171708754
0.76112.9790865532980.273983968627276
0.77113.0391369817490.268340341671697
0.78113.1000530124890.267968453836644
0.79113.1629768155070.273117456870834
0.8113.2290397697110.283451380535104
0.81113.2992043958260.297585072247104
0.82113.3740967722930.313449495722465
0.83113.453853190990.328586864933229
0.84113.5380081894260.340101719580275
0.85113.6254516826210.345396296547517
0.86113.7144812179730.342431165640826
0.87113.8029712411050.330077523152138
0.88113.8886713496610.308249799133964
0.89113.9696217027370.278577185653532
0.9114.0446258640350.244286401487353
0.91114.113647251580.210039287387284
0.92114.1779177714530.181379807745
0.93114.2395281524040.162636607123851
0.94114.3004013464910.153442055853304
0.95114.3608950580240.146780016138291
0.96114.4187465288210.13232168669139
0.97114.4693066831590.10364336520173
0.98114.5075009913270.0640114396710266
0.99114.530619189570.0272595226070764

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.821670107527 & 0.114008792833525 \tabularnewline
0.02 & 104.896271378199 & 0.15534845859593 \tabularnewline
0.03 & 104.990024711207 & 0.193914088370671 \tabularnewline
0.04 & 105.093105134346 & 0.227773090395653 \tabularnewline
0.05 & 105.200877469971 & 0.259163086918901 \tabularnewline
0.06 & 105.311298765011 & 0.286333958403113 \tabularnewline
0.07 & 105.422960029799 & 0.30697846728643 \tabularnewline
0.08 & 105.534505711514 & 0.321182915128703 \tabularnewline
0.09 & 105.644855355969 & 0.331549848266958 \tabularnewline
0.1 & 105.753555851972 & 0.341566745690811 \tabularnewline
0.11 & 105.860904405894 & 0.354121059573217 \tabularnewline
0.12 & 105.967796151537 & 0.371059485844913 \tabularnewline
0.13 & 106.075407273569 & 0.392702427983052 \tabularnewline
0.14 & 106.184846018204 & 0.417728078940371 \tabularnewline
0.15 & 106.296868522484 & 0.443833720155999 \tabularnewline
0.16 & 106.411714060781 & 0.468410455939785 \tabularnewline
0.17 & 106.529077599438 & 0.488975702863952 \tabularnewline
0.18 & 106.648205608178 & 0.504115132194934 \tabularnewline
0.19 & 106.76807603796 & 0.513169517426757 \tabularnewline
0.2 & 106.887610748604 & 0.516881098963257 \tabularnewline
0.21 & 107.005871299398 & 0.516373010898862 \tabularnewline
0.22 & 107.122203789068 & 0.513334248331281 \tabularnewline
0.23 & 107.236317990248 & 0.509960144269343 \tabularnewline
0.24 & 107.34830291623 & 0.507944192588646 \tabularnewline
0.25 & 107.458590937024 & 0.508817975798383 \tabularnewline
0.26 & 107.567885444754 & 0.513655730979685 \tabularnewline
0.27 & 107.677065483971 & 0.523490502262147 \tabularnewline
0.28 & 107.787078060184 & 0.538360295116937 \tabularnewline
0.29 & 107.898827364318 & 0.557469751967485 \tabularnewline
0.3 & 108.013070490875 & 0.579993664470377 \tabularnewline
0.31 & 108.130330438776 & 0.604310463383772 \tabularnewline
0.32 & 108.25083760883 & 0.628328441921887 \tabularnewline
0.33 & 108.374509223348 & 0.650428905947283 \tabularnewline
0.34 & 108.500971576495 & 0.668775417713339 \tabularnewline
0.35 & 108.629623395792 & 0.682417718721129 \tabularnewline
0.36 & 108.759731361371 & 0.691073712218152 \tabularnewline
0.37 & 108.890542828818 & 0.694934478434162 \tabularnewline
0.38 & 109.021397576147 & 0.694891731729967 \tabularnewline
0.39 & 109.151820715175 & 0.692732094345696 \tabularnewline
0.4 & 109.281582590824 & 0.68979718787376 \tabularnewline
0.41 & 109.410717548534 & 0.688120106037527 \tabularnewline
0.42 & 109.539500449212 & 0.688973253487472 \tabularnewline
0.43 & 109.668386319942 & 0.693204814185423 \tabularnewline
0.44 & 109.7979234655 & 0.700963387114025 \tabularnewline
0.45 & 109.928653176451 & 0.71197729966442 \tabularnewline
0.46 & 110.061009814669 & 0.725159956369725 \tabularnewline
0.47 & 110.195233866669 & 0.738990737978436 \tabularnewline
0.48 & 110.331308040325 & 0.751704092139113 \tabularnewline
0.49 & 110.468923175032 & 0.761473856760734 \tabularnewline
0.5 & 110.607477104804 & 0.766500873351928 \tabularnewline
0.51 & 110.746106028952 & 0.765544745626196 \tabularnewline
0.52 & 110.883744690386 & 0.757656018505089 \tabularnewline
0.53 & 111.019208950546 & 0.742297328107559 \tabularnewline
0.54 & 111.151292332394 & 0.719683773465145 \tabularnewline
0.55 & 111.278866867576 & 0.690526203996735 \tabularnewline
0.56 & 111.40097816855 & 0.656190725177273 \tabularnewline
0.57 & 111.516925058455 & 0.617997095180765 \tabularnewline
0.58 & 111.626315332594 & 0.578344013101107 \tabularnewline
0.59 & 111.729091299134 & 0.538850878722738 \tabularnewline
0.6 & 111.825521632714 & 0.501607630148167 \tabularnewline
0.61 & 111.916159666335 & 0.468139505884271 \tabularnewline
0.62 & 112.001772277112 & 0.439825666478905 \tabularnewline
0.63 & 112.083247517969 & 0.417151439599372 \tabularnewline
0.64 & 112.161492460958 & 0.400009458446456 \tabularnewline
0.65 & 112.237334644366 & 0.387640129593021 \tabularnewline
0.66 & 112.311440489755 & 0.378602252568938 \tabularnewline
0.67 & 112.384261856896 & 0.371605923336786 \tabularnewline
0.68 & 112.456017793344 & 0.364963260229884 \tabularnewline
0.69 & 112.526713241377 & 0.357403666598204 \tabularnewline
0.7 & 112.596191015259 & 0.348171028010395 \tabularnewline
0.71 & 112.664208787075 & 0.336966134032061 \tabularnewline
0.72 & 112.730529844219 & 0.32409276385239 \tabularnewline
0.73 & 112.79501522345 & 0.310117115189694 \tabularnewline
0.74 & 112.857705195386 & 0.296230122990578 \tabularnewline
0.75 & 112.918879386796 & 0.28373171708754 \tabularnewline
0.76 & 112.979086553298 & 0.273983968627276 \tabularnewline
0.77 & 113.039136981749 & 0.268340341671697 \tabularnewline
0.78 & 113.100053012489 & 0.267968453836644 \tabularnewline
0.79 & 113.162976815507 & 0.273117456870834 \tabularnewline
0.8 & 113.229039769711 & 0.283451380535104 \tabularnewline
0.81 & 113.299204395826 & 0.297585072247104 \tabularnewline
0.82 & 113.374096772293 & 0.313449495722465 \tabularnewline
0.83 & 113.45385319099 & 0.328586864933229 \tabularnewline
0.84 & 113.538008189426 & 0.340101719580275 \tabularnewline
0.85 & 113.625451682621 & 0.345396296547517 \tabularnewline
0.86 & 113.714481217973 & 0.342431165640826 \tabularnewline
0.87 & 113.802971241105 & 0.330077523152138 \tabularnewline
0.88 & 113.888671349661 & 0.308249799133964 \tabularnewline
0.89 & 113.969621702737 & 0.278577185653532 \tabularnewline
0.9 & 114.044625864035 & 0.244286401487353 \tabularnewline
0.91 & 114.11364725158 & 0.210039287387284 \tabularnewline
0.92 & 114.177917771453 & 0.181379807745 \tabularnewline
0.93 & 114.239528152404 & 0.162636607123851 \tabularnewline
0.94 & 114.300401346491 & 0.153442055853304 \tabularnewline
0.95 & 114.360895058024 & 0.146780016138291 \tabularnewline
0.96 & 114.418746528821 & 0.13232168669139 \tabularnewline
0.97 & 114.469306683159 & 0.10364336520173 \tabularnewline
0.98 & 114.507500991327 & 0.0640114396710266 \tabularnewline
0.99 & 114.53061918957 & 0.0272595226070764 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162755&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]104.821670107527[/C][C]0.114008792833525[/C][/ROW]
[ROW][C]0.02[/C][C]104.896271378199[/C][C]0.15534845859593[/C][/ROW]
[ROW][C]0.03[/C][C]104.990024711207[/C][C]0.193914088370671[/C][/ROW]
[ROW][C]0.04[/C][C]105.093105134346[/C][C]0.227773090395653[/C][/ROW]
[ROW][C]0.05[/C][C]105.200877469971[/C][C]0.259163086918901[/C][/ROW]
[ROW][C]0.06[/C][C]105.311298765011[/C][C]0.286333958403113[/C][/ROW]
[ROW][C]0.07[/C][C]105.422960029799[/C][C]0.30697846728643[/C][/ROW]
[ROW][C]0.08[/C][C]105.534505711514[/C][C]0.321182915128703[/C][/ROW]
[ROW][C]0.09[/C][C]105.644855355969[/C][C]0.331549848266958[/C][/ROW]
[ROW][C]0.1[/C][C]105.753555851972[/C][C]0.341566745690811[/C][/ROW]
[ROW][C]0.11[/C][C]105.860904405894[/C][C]0.354121059573217[/C][/ROW]
[ROW][C]0.12[/C][C]105.967796151537[/C][C]0.371059485844913[/C][/ROW]
[ROW][C]0.13[/C][C]106.075407273569[/C][C]0.392702427983052[/C][/ROW]
[ROW][C]0.14[/C][C]106.184846018204[/C][C]0.417728078940371[/C][/ROW]
[ROW][C]0.15[/C][C]106.296868522484[/C][C]0.443833720155999[/C][/ROW]
[ROW][C]0.16[/C][C]106.411714060781[/C][C]0.468410455939785[/C][/ROW]
[ROW][C]0.17[/C][C]106.529077599438[/C][C]0.488975702863952[/C][/ROW]
[ROW][C]0.18[/C][C]106.648205608178[/C][C]0.504115132194934[/C][/ROW]
[ROW][C]0.19[/C][C]106.76807603796[/C][C]0.513169517426757[/C][/ROW]
[ROW][C]0.2[/C][C]106.887610748604[/C][C]0.516881098963257[/C][/ROW]
[ROW][C]0.21[/C][C]107.005871299398[/C][C]0.516373010898862[/C][/ROW]
[ROW][C]0.22[/C][C]107.122203789068[/C][C]0.513334248331281[/C][/ROW]
[ROW][C]0.23[/C][C]107.236317990248[/C][C]0.509960144269343[/C][/ROW]
[ROW][C]0.24[/C][C]107.34830291623[/C][C]0.507944192588646[/C][/ROW]
[ROW][C]0.25[/C][C]107.458590937024[/C][C]0.508817975798383[/C][/ROW]
[ROW][C]0.26[/C][C]107.567885444754[/C][C]0.513655730979685[/C][/ROW]
[ROW][C]0.27[/C][C]107.677065483971[/C][C]0.523490502262147[/C][/ROW]
[ROW][C]0.28[/C][C]107.787078060184[/C][C]0.538360295116937[/C][/ROW]
[ROW][C]0.29[/C][C]107.898827364318[/C][C]0.557469751967485[/C][/ROW]
[ROW][C]0.3[/C][C]108.013070490875[/C][C]0.579993664470377[/C][/ROW]
[ROW][C]0.31[/C][C]108.130330438776[/C][C]0.604310463383772[/C][/ROW]
[ROW][C]0.32[/C][C]108.25083760883[/C][C]0.628328441921887[/C][/ROW]
[ROW][C]0.33[/C][C]108.374509223348[/C][C]0.650428905947283[/C][/ROW]
[ROW][C]0.34[/C][C]108.500971576495[/C][C]0.668775417713339[/C][/ROW]
[ROW][C]0.35[/C][C]108.629623395792[/C][C]0.682417718721129[/C][/ROW]
[ROW][C]0.36[/C][C]108.759731361371[/C][C]0.691073712218152[/C][/ROW]
[ROW][C]0.37[/C][C]108.890542828818[/C][C]0.694934478434162[/C][/ROW]
[ROW][C]0.38[/C][C]109.021397576147[/C][C]0.694891731729967[/C][/ROW]
[ROW][C]0.39[/C][C]109.151820715175[/C][C]0.692732094345696[/C][/ROW]
[ROW][C]0.4[/C][C]109.281582590824[/C][C]0.68979718787376[/C][/ROW]
[ROW][C]0.41[/C][C]109.410717548534[/C][C]0.688120106037527[/C][/ROW]
[ROW][C]0.42[/C][C]109.539500449212[/C][C]0.688973253487472[/C][/ROW]
[ROW][C]0.43[/C][C]109.668386319942[/C][C]0.693204814185423[/C][/ROW]
[ROW][C]0.44[/C][C]109.7979234655[/C][C]0.700963387114025[/C][/ROW]
[ROW][C]0.45[/C][C]109.928653176451[/C][C]0.71197729966442[/C][/ROW]
[ROW][C]0.46[/C][C]110.061009814669[/C][C]0.725159956369725[/C][/ROW]
[ROW][C]0.47[/C][C]110.195233866669[/C][C]0.738990737978436[/C][/ROW]
[ROW][C]0.48[/C][C]110.331308040325[/C][C]0.751704092139113[/C][/ROW]
[ROW][C]0.49[/C][C]110.468923175032[/C][C]0.761473856760734[/C][/ROW]
[ROW][C]0.5[/C][C]110.607477104804[/C][C]0.766500873351928[/C][/ROW]
[ROW][C]0.51[/C][C]110.746106028952[/C][C]0.765544745626196[/C][/ROW]
[ROW][C]0.52[/C][C]110.883744690386[/C][C]0.757656018505089[/C][/ROW]
[ROW][C]0.53[/C][C]111.019208950546[/C][C]0.742297328107559[/C][/ROW]
[ROW][C]0.54[/C][C]111.151292332394[/C][C]0.719683773465145[/C][/ROW]
[ROW][C]0.55[/C][C]111.278866867576[/C][C]0.690526203996735[/C][/ROW]
[ROW][C]0.56[/C][C]111.40097816855[/C][C]0.656190725177273[/C][/ROW]
[ROW][C]0.57[/C][C]111.516925058455[/C][C]0.617997095180765[/C][/ROW]
[ROW][C]0.58[/C][C]111.626315332594[/C][C]0.578344013101107[/C][/ROW]
[ROW][C]0.59[/C][C]111.729091299134[/C][C]0.538850878722738[/C][/ROW]
[ROW][C]0.6[/C][C]111.825521632714[/C][C]0.501607630148167[/C][/ROW]
[ROW][C]0.61[/C][C]111.916159666335[/C][C]0.468139505884271[/C][/ROW]
[ROW][C]0.62[/C][C]112.001772277112[/C][C]0.439825666478905[/C][/ROW]
[ROW][C]0.63[/C][C]112.083247517969[/C][C]0.417151439599372[/C][/ROW]
[ROW][C]0.64[/C][C]112.161492460958[/C][C]0.400009458446456[/C][/ROW]
[ROW][C]0.65[/C][C]112.237334644366[/C][C]0.387640129593021[/C][/ROW]
[ROW][C]0.66[/C][C]112.311440489755[/C][C]0.378602252568938[/C][/ROW]
[ROW][C]0.67[/C][C]112.384261856896[/C][C]0.371605923336786[/C][/ROW]
[ROW][C]0.68[/C][C]112.456017793344[/C][C]0.364963260229884[/C][/ROW]
[ROW][C]0.69[/C][C]112.526713241377[/C][C]0.357403666598204[/C][/ROW]
[ROW][C]0.7[/C][C]112.596191015259[/C][C]0.348171028010395[/C][/ROW]
[ROW][C]0.71[/C][C]112.664208787075[/C][C]0.336966134032061[/C][/ROW]
[ROW][C]0.72[/C][C]112.730529844219[/C][C]0.32409276385239[/C][/ROW]
[ROW][C]0.73[/C][C]112.79501522345[/C][C]0.310117115189694[/C][/ROW]
[ROW][C]0.74[/C][C]112.857705195386[/C][C]0.296230122990578[/C][/ROW]
[ROW][C]0.75[/C][C]112.918879386796[/C][C]0.28373171708754[/C][/ROW]
[ROW][C]0.76[/C][C]112.979086553298[/C][C]0.273983968627276[/C][/ROW]
[ROW][C]0.77[/C][C]113.039136981749[/C][C]0.268340341671697[/C][/ROW]
[ROW][C]0.78[/C][C]113.100053012489[/C][C]0.267968453836644[/C][/ROW]
[ROW][C]0.79[/C][C]113.162976815507[/C][C]0.273117456870834[/C][/ROW]
[ROW][C]0.8[/C][C]113.229039769711[/C][C]0.283451380535104[/C][/ROW]
[ROW][C]0.81[/C][C]113.299204395826[/C][C]0.297585072247104[/C][/ROW]
[ROW][C]0.82[/C][C]113.374096772293[/C][C]0.313449495722465[/C][/ROW]
[ROW][C]0.83[/C][C]113.45385319099[/C][C]0.328586864933229[/C][/ROW]
[ROW][C]0.84[/C][C]113.538008189426[/C][C]0.340101719580275[/C][/ROW]
[ROW][C]0.85[/C][C]113.625451682621[/C][C]0.345396296547517[/C][/ROW]
[ROW][C]0.86[/C][C]113.714481217973[/C][C]0.342431165640826[/C][/ROW]
[ROW][C]0.87[/C][C]113.802971241105[/C][C]0.330077523152138[/C][/ROW]
[ROW][C]0.88[/C][C]113.888671349661[/C][C]0.308249799133964[/C][/ROW]
[ROW][C]0.89[/C][C]113.969621702737[/C][C]0.278577185653532[/C][/ROW]
[ROW][C]0.9[/C][C]114.044625864035[/C][C]0.244286401487353[/C][/ROW]
[ROW][C]0.91[/C][C]114.11364725158[/C][C]0.210039287387284[/C][/ROW]
[ROW][C]0.92[/C][C]114.177917771453[/C][C]0.181379807745[/C][/ROW]
[ROW][C]0.93[/C][C]114.239528152404[/C][C]0.162636607123851[/C][/ROW]
[ROW][C]0.94[/C][C]114.300401346491[/C][C]0.153442055853304[/C][/ROW]
[ROW][C]0.95[/C][C]114.360895058024[/C][C]0.146780016138291[/C][/ROW]
[ROW][C]0.96[/C][C]114.418746528821[/C][C]0.13232168669139[/C][/ROW]
[ROW][C]0.97[/C][C]114.469306683159[/C][C]0.10364336520173[/C][/ROW]
[ROW][C]0.98[/C][C]114.507500991327[/C][C]0.0640114396710266[/C][/ROW]
[ROW][C]0.99[/C][C]114.53061918957[/C][C]0.0272595226070764[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162755&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162755&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
0.01104.8216701075270.114008792833525
0.02104.8962713781990.15534845859593
0.03104.9900247112070.193914088370671
0.04105.0931051343460.227773090395653
0.05105.2008774699710.259163086918901
0.06105.3112987650110.286333958403113
0.07105.4229600297990.30697846728643
0.08105.5345057115140.321182915128703
0.09105.6448553559690.331549848266958
0.1105.7535558519720.341566745690811
0.11105.8609044058940.354121059573217
0.12105.9677961515370.371059485844913
0.13106.0754072735690.392702427983052
0.14106.1848460182040.417728078940371
0.15106.2968685224840.443833720155999
0.16106.4117140607810.468410455939785
0.17106.5290775994380.488975702863952
0.18106.6482056081780.504115132194934
0.19106.768076037960.513169517426757
0.2106.8876107486040.516881098963257
0.21107.0058712993980.516373010898862
0.22107.1222037890680.513334248331281
0.23107.2363179902480.509960144269343
0.24107.348302916230.507944192588646
0.25107.4585909370240.508817975798383
0.26107.5678854447540.513655730979685
0.27107.6770654839710.523490502262147
0.28107.7870780601840.538360295116937
0.29107.8988273643180.557469751967485
0.3108.0130704908750.579993664470377
0.31108.1303304387760.604310463383772
0.32108.250837608830.628328441921887
0.33108.3745092233480.650428905947283
0.34108.5009715764950.668775417713339
0.35108.6296233957920.682417718721129
0.36108.7597313613710.691073712218152
0.37108.8905428288180.694934478434162
0.38109.0213975761470.694891731729967
0.39109.1518207151750.692732094345696
0.4109.2815825908240.68979718787376
0.41109.4107175485340.688120106037527
0.42109.5395004492120.688973253487472
0.43109.6683863199420.693204814185423
0.44109.79792346550.700963387114025
0.45109.9286531764510.71197729966442
0.46110.0610098146690.725159956369725
0.47110.1952338666690.738990737978436
0.48110.3313080403250.751704092139113
0.49110.4689231750320.761473856760734
0.5110.6074771048040.766500873351928
0.51110.7461060289520.765544745626196
0.52110.8837446903860.757656018505089
0.53111.0192089505460.742297328107559
0.54111.1512923323940.719683773465145
0.55111.2788668675760.690526203996735
0.56111.400978168550.656190725177273
0.57111.5169250584550.617997095180765
0.58111.6263153325940.578344013101107
0.59111.7290912991340.538850878722738
0.6111.8255216327140.501607630148167
0.61111.9161596663350.468139505884271
0.62112.0017722771120.439825666478905
0.63112.0832475179690.417151439599372
0.64112.1614924609580.400009458446456
0.65112.2373346443660.387640129593021
0.66112.3114404897550.378602252568938
0.67112.3842618568960.371605923336786
0.68112.4560177933440.364963260229884
0.69112.5267132413770.357403666598204
0.7112.5961910152590.348171028010395
0.71112.6642087870750.336966134032061
0.72112.7305298442190.32409276385239
0.73112.795015223450.310117115189694
0.74112.8577051953860.296230122990578
0.75112.9188793867960.28373171708754
0.76112.9790865532980.273983968627276
0.77113.0391369817490.268340341671697
0.78113.1000530124890.267968453836644
0.79113.1629768155070.273117456870834
0.8113.2290397697110.283451380535104
0.81113.2992043958260.297585072247104
0.82113.3740967722930.313449495722465
0.83113.453853190990.328586864933229
0.84113.5380081894260.340101719580275
0.85113.6254516826210.345396296547517
0.86113.7144812179730.342431165640826
0.87113.8029712411050.330077523152138
0.88113.8886713496610.308249799133964
0.89113.9696217027370.278577185653532
0.9114.0446258640350.244286401487353
0.91114.113647251580.210039287387284
0.92114.1779177714530.181379807745
0.93114.2395281524040.162636607123851
0.94114.3004013464910.153442055853304
0.95114.3608950580240.146780016138291
0.96114.4187465288210.13232168669139
0.97114.4693066831590.10364336520173
0.98114.5075009913270.0640114396710266
0.99114.530619189570.0272595226070764


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.09 ; 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')