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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, 07 Mar 2017 13:25:34 +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/2017/Mar/07/t14888931596t3kzq8kmwa4g2i.htm/, Retrieved Tue, 14 May 2024 23:28:23 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 23:28:23 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698
111203
110030
104009
99772
96301
97680
121563
134210
133111
124527
117589
115699
117830
115874
111267
107985
102185
102101
128932
135782
136971
126292
119260
117359
119818
116059
110046
104100
97981
97527
123700
129678
130790
120961
114232
110518
110959
108443
103977
97126
90860
91959
113735
119713
121905
112442
106728
104906
105308
102909
97849
93181
87470
86998
106716
115028
116828
108413
102628
99126

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0187415.04472031961157.80945720016
0.0288230.64649632331887.34189842588
0.0389260.75625267232134.29410115964
0.0490299.51059034081998.51005551401
0.0591231.0506187521793.61773731891
0.0692040.0752803911734.33645491423
0.0792766.19572998981838.59300528279
0.0893455.00654869462004.95659091545
0.0994131.55626494892131.24229809291
0.194796.70319932762161.78417526002
0.1195436.32682869922089.21245201502
0.1296033.45626185661942.49664082583
0.1396577.31367001921769.80197935568
0.1497067.20333341711621.15185703052
0.1597511.81211964051534.53605859921
0.1697925.71326604351525.24530671544
0.1798325.01042760861584.22143887706
0.1898723.58286369061686.80743007234
0.1999130.71278599921803.7688987805
0.299550.26819012581909.66847159189
0.2199981.19962232281986.86768865919
0.22100418.8986234722025.89657162688
0.23100856.9192253982025.54652067585
0.24101288.6301075041991.92952111469
0.25101708.4958507721934.60611203003
0.26102112.8395131581865.77099388609
0.27102500.0807088961796.34497439761
0.28102870.5482114461735.09679966892
0.29103226.0213621611687.39534847635
0.3103569.1616099181655.55051664367
0.31103902.9666372961638.51573156619
0.32104230.3323154051634.48351475754
0.33104553.7588992671639.85026442765
0.34104875.1990263561651.54700527398
0.35105196.0212218181666.84852451079
0.36105517.053184971683.0598193497
0.37105838.6703286051698.12978156823
0.38106160.9021918791711.34130394635
0.39106483.5385170641721.56961143481
0.4106806.2254112011728.52783114808
0.41107128.5488056381732.01119424829
0.42107450.1068936571732.55035917529
0.43107770.5752770311730.60300101402
0.44108089.7682774531727.06746610762
0.45108407.6975479221722.85128496593
0.46108724.6253363421719.73310108755
0.47109041.1054825041719.41045995721
0.48109358.0017768991723.97092042749
0.49109676.4720710261735.27601769051
0.5109997.9085985691754.89255261641
0.51110323.8307181381783.58244357863
0.52110655.7350758951820.9753759899
0.53110994.9183178461865.30741798897
0.54111342.2965242661913.72508660043
0.55111698.2509230061962.30994431111
0.56112062.5291962006.58638370582
0.57112434.2251029922042.32402441132
0.58112811.8470620562066.29790929984
0.59113193.4710546082076.27168788087
0.6113576.9579680252071.56637371777
0.61113960.2035314742053.39542036986
0.62114341.3828667712024.22232405292
0.63114719.152560921987.70007826443
0.64115092.7807630221947.92831531602
0.65115462.1885409641908.92012531953
0.66115827.9012542221874.18735956789
0.67116190.9244130231846.12506381383
0.68116552.5719361941825.90335927626
0.69116914.2837223831813.36881832593
0.7117277.4721993821807.07641362545
0.71117643.4327029091805.59513279908
0.72118013.3397500431807.12500276124
0.73118388.3316446211810.99273530398
0.74118769.6626586241817.33942363091
0.75119158.8807951351827.71315557929
0.76119557.9767407631844.89335088222
0.77119969.4522823191871.57731601993
0.78120396.2769483211910.04172471242
0.79120841.7366268991960.90472256813
0.8121309.2170349292022.96342859901
0.81121801.9926729552093.18910081613
0.82122323.0930845412168.14264253859
0.83122875.2858319382244.54731098033
0.84123461.1582306112320.58235056896
0.85124083.223983152395.30017936237
0.86124743.9622743662468.42506188323
0.87125445.7397906292538.33441969009
0.88126190.6553931222601.5683494048
0.89126980.414106552652.88507029596
0.9127816.2877467332687.36255871225
0.91128699.0212661172702.31583759884
0.92129628.3285612282695.67663756124
0.93130601.6823388542661.38990259209
0.94131612.6502241332584.14044757511
0.95132649.7246079662442.82566550734
0.96133696.1184772962223.44014790195
0.97134727.2630847351929.87905036032
0.98135696.0134595461591.22654465973
0.99136499.4806543241298.32720985265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87415.0447203196 & 1157.80945720016 \tabularnewline
0.02 & 88230.6464963233 & 1887.34189842588 \tabularnewline
0.03 & 89260.7562526723 & 2134.29410115964 \tabularnewline
0.04 & 90299.5105903408 & 1998.51005551401 \tabularnewline
0.05 & 91231.050618752 & 1793.61773731891 \tabularnewline
0.06 & 92040.075280391 & 1734.33645491423 \tabularnewline
0.07 & 92766.1957299898 & 1838.59300528279 \tabularnewline
0.08 & 93455.0065486946 & 2004.95659091545 \tabularnewline
0.09 & 94131.5562649489 & 2131.24229809291 \tabularnewline
0.1 & 94796.7031993276 & 2161.78417526002 \tabularnewline
0.11 & 95436.3268286992 & 2089.21245201502 \tabularnewline
0.12 & 96033.4562618566 & 1942.49664082583 \tabularnewline
0.13 & 96577.3136700192 & 1769.80197935568 \tabularnewline
0.14 & 97067.2033334171 & 1621.15185703052 \tabularnewline
0.15 & 97511.8121196405 & 1534.53605859921 \tabularnewline
0.16 & 97925.7132660435 & 1525.24530671544 \tabularnewline
0.17 & 98325.0104276086 & 1584.22143887706 \tabularnewline
0.18 & 98723.5828636906 & 1686.80743007234 \tabularnewline
0.19 & 99130.7127859992 & 1803.7688987805 \tabularnewline
0.2 & 99550.2681901258 & 1909.66847159189 \tabularnewline
0.21 & 99981.1996223228 & 1986.86768865919 \tabularnewline
0.22 & 100418.898623472 & 2025.89657162688 \tabularnewline
0.23 & 100856.919225398 & 2025.54652067585 \tabularnewline
0.24 & 101288.630107504 & 1991.92952111469 \tabularnewline
0.25 & 101708.495850772 & 1934.60611203003 \tabularnewline
0.26 & 102112.839513158 & 1865.77099388609 \tabularnewline
0.27 & 102500.080708896 & 1796.34497439761 \tabularnewline
0.28 & 102870.548211446 & 1735.09679966892 \tabularnewline
0.29 & 103226.021362161 & 1687.39534847635 \tabularnewline
0.3 & 103569.161609918 & 1655.55051664367 \tabularnewline
0.31 & 103902.966637296 & 1638.51573156619 \tabularnewline
0.32 & 104230.332315405 & 1634.48351475754 \tabularnewline
0.33 & 104553.758899267 & 1639.85026442765 \tabularnewline
0.34 & 104875.199026356 & 1651.54700527398 \tabularnewline
0.35 & 105196.021221818 & 1666.84852451079 \tabularnewline
0.36 & 105517.05318497 & 1683.0598193497 \tabularnewline
0.37 & 105838.670328605 & 1698.12978156823 \tabularnewline
0.38 & 106160.902191879 & 1711.34130394635 \tabularnewline
0.39 & 106483.538517064 & 1721.56961143481 \tabularnewline
0.4 & 106806.225411201 & 1728.52783114808 \tabularnewline
0.41 & 107128.548805638 & 1732.01119424829 \tabularnewline
0.42 & 107450.106893657 & 1732.55035917529 \tabularnewline
0.43 & 107770.575277031 & 1730.60300101402 \tabularnewline
0.44 & 108089.768277453 & 1727.06746610762 \tabularnewline
0.45 & 108407.697547922 & 1722.85128496593 \tabularnewline
0.46 & 108724.625336342 & 1719.73310108755 \tabularnewline
0.47 & 109041.105482504 & 1719.41045995721 \tabularnewline
0.48 & 109358.001776899 & 1723.97092042749 \tabularnewline
0.49 & 109676.472071026 & 1735.27601769051 \tabularnewline
0.5 & 109997.908598569 & 1754.89255261641 \tabularnewline
0.51 & 110323.830718138 & 1783.58244357863 \tabularnewline
0.52 & 110655.735075895 & 1820.9753759899 \tabularnewline
0.53 & 110994.918317846 & 1865.30741798897 \tabularnewline
0.54 & 111342.296524266 & 1913.72508660043 \tabularnewline
0.55 & 111698.250923006 & 1962.30994431111 \tabularnewline
0.56 & 112062.529196 & 2006.58638370582 \tabularnewline
0.57 & 112434.225102992 & 2042.32402441132 \tabularnewline
0.58 & 112811.847062056 & 2066.29790929984 \tabularnewline
0.59 & 113193.471054608 & 2076.27168788087 \tabularnewline
0.6 & 113576.957968025 & 2071.56637371777 \tabularnewline
0.61 & 113960.203531474 & 2053.39542036986 \tabularnewline
0.62 & 114341.382866771 & 2024.22232405292 \tabularnewline
0.63 & 114719.15256092 & 1987.70007826443 \tabularnewline
0.64 & 115092.780763022 & 1947.92831531602 \tabularnewline
0.65 & 115462.188540964 & 1908.92012531953 \tabularnewline
0.66 & 115827.901254222 & 1874.18735956789 \tabularnewline
0.67 & 116190.924413023 & 1846.12506381383 \tabularnewline
0.68 & 116552.571936194 & 1825.90335927626 \tabularnewline
0.69 & 116914.283722383 & 1813.36881832593 \tabularnewline
0.7 & 117277.472199382 & 1807.07641362545 \tabularnewline
0.71 & 117643.432702909 & 1805.59513279908 \tabularnewline
0.72 & 118013.339750043 & 1807.12500276124 \tabularnewline
0.73 & 118388.331644621 & 1810.99273530398 \tabularnewline
0.74 & 118769.662658624 & 1817.33942363091 \tabularnewline
0.75 & 119158.880795135 & 1827.71315557929 \tabularnewline
0.76 & 119557.976740763 & 1844.89335088222 \tabularnewline
0.77 & 119969.452282319 & 1871.57731601993 \tabularnewline
0.78 & 120396.276948321 & 1910.04172471242 \tabularnewline
0.79 & 120841.736626899 & 1960.90472256813 \tabularnewline
0.8 & 121309.217034929 & 2022.96342859901 \tabularnewline
0.81 & 121801.992672955 & 2093.18910081613 \tabularnewline
0.82 & 122323.093084541 & 2168.14264253859 \tabularnewline
0.83 & 122875.285831938 & 2244.54731098033 \tabularnewline
0.84 & 123461.158230611 & 2320.58235056896 \tabularnewline
0.85 & 124083.22398315 & 2395.30017936237 \tabularnewline
0.86 & 124743.962274366 & 2468.42506188323 \tabularnewline
0.87 & 125445.739790629 & 2538.33441969009 \tabularnewline
0.88 & 126190.655393122 & 2601.5683494048 \tabularnewline
0.89 & 126980.41410655 & 2652.88507029596 \tabularnewline
0.9 & 127816.287746733 & 2687.36255871225 \tabularnewline
0.91 & 128699.021266117 & 2702.31583759884 \tabularnewline
0.92 & 129628.328561228 & 2695.67663756124 \tabularnewline
0.93 & 130601.682338854 & 2661.38990259209 \tabularnewline
0.94 & 131612.650224133 & 2584.14044757511 \tabularnewline
0.95 & 132649.724607966 & 2442.82566550734 \tabularnewline
0.96 & 133696.118477296 & 2223.44014790195 \tabularnewline
0.97 & 134727.263084735 & 1929.87905036032 \tabularnewline
0.98 & 135696.013459546 & 1591.22654465973 \tabularnewline
0.99 & 136499.480654324 & 1298.32720985265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]87415.0447203196[/C][C]1157.80945720016[/C][/ROW]
[ROW][C]0.02[/C][C]88230.6464963233[/C][C]1887.34189842588[/C][/ROW]
[ROW][C]0.03[/C][C]89260.7562526723[/C][C]2134.29410115964[/C][/ROW]
[ROW][C]0.04[/C][C]90299.5105903408[/C][C]1998.51005551401[/C][/ROW]
[ROW][C]0.05[/C][C]91231.050618752[/C][C]1793.61773731891[/C][/ROW]
[ROW][C]0.06[/C][C]92040.075280391[/C][C]1734.33645491423[/C][/ROW]
[ROW][C]0.07[/C][C]92766.1957299898[/C][C]1838.59300528279[/C][/ROW]
[ROW][C]0.08[/C][C]93455.0065486946[/C][C]2004.95659091545[/C][/ROW]
[ROW][C]0.09[/C][C]94131.5562649489[/C][C]2131.24229809291[/C][/ROW]
[ROW][C]0.1[/C][C]94796.7031993276[/C][C]2161.78417526002[/C][/ROW]
[ROW][C]0.11[/C][C]95436.3268286992[/C][C]2089.21245201502[/C][/ROW]
[ROW][C]0.12[/C][C]96033.4562618566[/C][C]1942.49664082583[/C][/ROW]
[ROW][C]0.13[/C][C]96577.3136700192[/C][C]1769.80197935568[/C][/ROW]
[ROW][C]0.14[/C][C]97067.2033334171[/C][C]1621.15185703052[/C][/ROW]
[ROW][C]0.15[/C][C]97511.8121196405[/C][C]1534.53605859921[/C][/ROW]
[ROW][C]0.16[/C][C]97925.7132660435[/C][C]1525.24530671544[/C][/ROW]
[ROW][C]0.17[/C][C]98325.0104276086[/C][C]1584.22143887706[/C][/ROW]
[ROW][C]0.18[/C][C]98723.5828636906[/C][C]1686.80743007234[/C][/ROW]
[ROW][C]0.19[/C][C]99130.7127859992[/C][C]1803.7688987805[/C][/ROW]
[ROW][C]0.2[/C][C]99550.2681901258[/C][C]1909.66847159189[/C][/ROW]
[ROW][C]0.21[/C][C]99981.1996223228[/C][C]1986.86768865919[/C][/ROW]
[ROW][C]0.22[/C][C]100418.898623472[/C][C]2025.89657162688[/C][/ROW]
[ROW][C]0.23[/C][C]100856.919225398[/C][C]2025.54652067585[/C][/ROW]
[ROW][C]0.24[/C][C]101288.630107504[/C][C]1991.92952111469[/C][/ROW]
[ROW][C]0.25[/C][C]101708.495850772[/C][C]1934.60611203003[/C][/ROW]
[ROW][C]0.26[/C][C]102112.839513158[/C][C]1865.77099388609[/C][/ROW]
[ROW][C]0.27[/C][C]102500.080708896[/C][C]1796.34497439761[/C][/ROW]
[ROW][C]0.28[/C][C]102870.548211446[/C][C]1735.09679966892[/C][/ROW]
[ROW][C]0.29[/C][C]103226.021362161[/C][C]1687.39534847635[/C][/ROW]
[ROW][C]0.3[/C][C]103569.161609918[/C][C]1655.55051664367[/C][/ROW]
[ROW][C]0.31[/C][C]103902.966637296[/C][C]1638.51573156619[/C][/ROW]
[ROW][C]0.32[/C][C]104230.332315405[/C][C]1634.48351475754[/C][/ROW]
[ROW][C]0.33[/C][C]104553.758899267[/C][C]1639.85026442765[/C][/ROW]
[ROW][C]0.34[/C][C]104875.199026356[/C][C]1651.54700527398[/C][/ROW]
[ROW][C]0.35[/C][C]105196.021221818[/C][C]1666.84852451079[/C][/ROW]
[ROW][C]0.36[/C][C]105517.05318497[/C][C]1683.0598193497[/C][/ROW]
[ROW][C]0.37[/C][C]105838.670328605[/C][C]1698.12978156823[/C][/ROW]
[ROW][C]0.38[/C][C]106160.902191879[/C][C]1711.34130394635[/C][/ROW]
[ROW][C]0.39[/C][C]106483.538517064[/C][C]1721.56961143481[/C][/ROW]
[ROW][C]0.4[/C][C]106806.225411201[/C][C]1728.52783114808[/C][/ROW]
[ROW][C]0.41[/C][C]107128.548805638[/C][C]1732.01119424829[/C][/ROW]
[ROW][C]0.42[/C][C]107450.106893657[/C][C]1732.55035917529[/C][/ROW]
[ROW][C]0.43[/C][C]107770.575277031[/C][C]1730.60300101402[/C][/ROW]
[ROW][C]0.44[/C][C]108089.768277453[/C][C]1727.06746610762[/C][/ROW]
[ROW][C]0.45[/C][C]108407.697547922[/C][C]1722.85128496593[/C][/ROW]
[ROW][C]0.46[/C][C]108724.625336342[/C][C]1719.73310108755[/C][/ROW]
[ROW][C]0.47[/C][C]109041.105482504[/C][C]1719.41045995721[/C][/ROW]
[ROW][C]0.48[/C][C]109358.001776899[/C][C]1723.97092042749[/C][/ROW]
[ROW][C]0.49[/C][C]109676.472071026[/C][C]1735.27601769051[/C][/ROW]
[ROW][C]0.5[/C][C]109997.908598569[/C][C]1754.89255261641[/C][/ROW]
[ROW][C]0.51[/C][C]110323.830718138[/C][C]1783.58244357863[/C][/ROW]
[ROW][C]0.52[/C][C]110655.735075895[/C][C]1820.9753759899[/C][/ROW]
[ROW][C]0.53[/C][C]110994.918317846[/C][C]1865.30741798897[/C][/ROW]
[ROW][C]0.54[/C][C]111342.296524266[/C][C]1913.72508660043[/C][/ROW]
[ROW][C]0.55[/C][C]111698.250923006[/C][C]1962.30994431111[/C][/ROW]
[ROW][C]0.56[/C][C]112062.529196[/C][C]2006.58638370582[/C][/ROW]
[ROW][C]0.57[/C][C]112434.225102992[/C][C]2042.32402441132[/C][/ROW]
[ROW][C]0.58[/C][C]112811.847062056[/C][C]2066.29790929984[/C][/ROW]
[ROW][C]0.59[/C][C]113193.471054608[/C][C]2076.27168788087[/C][/ROW]
[ROW][C]0.6[/C][C]113576.957968025[/C][C]2071.56637371777[/C][/ROW]
[ROW][C]0.61[/C][C]113960.203531474[/C][C]2053.39542036986[/C][/ROW]
[ROW][C]0.62[/C][C]114341.382866771[/C][C]2024.22232405292[/C][/ROW]
[ROW][C]0.63[/C][C]114719.15256092[/C][C]1987.70007826443[/C][/ROW]
[ROW][C]0.64[/C][C]115092.780763022[/C][C]1947.92831531602[/C][/ROW]
[ROW][C]0.65[/C][C]115462.188540964[/C][C]1908.92012531953[/C][/ROW]
[ROW][C]0.66[/C][C]115827.901254222[/C][C]1874.18735956789[/C][/ROW]
[ROW][C]0.67[/C][C]116190.924413023[/C][C]1846.12506381383[/C][/ROW]
[ROW][C]0.68[/C][C]116552.571936194[/C][C]1825.90335927626[/C][/ROW]
[ROW][C]0.69[/C][C]116914.283722383[/C][C]1813.36881832593[/C][/ROW]
[ROW][C]0.7[/C][C]117277.472199382[/C][C]1807.07641362545[/C][/ROW]
[ROW][C]0.71[/C][C]117643.432702909[/C][C]1805.59513279908[/C][/ROW]
[ROW][C]0.72[/C][C]118013.339750043[/C][C]1807.12500276124[/C][/ROW]
[ROW][C]0.73[/C][C]118388.331644621[/C][C]1810.99273530398[/C][/ROW]
[ROW][C]0.74[/C][C]118769.662658624[/C][C]1817.33942363091[/C][/ROW]
[ROW][C]0.75[/C][C]119158.880795135[/C][C]1827.71315557929[/C][/ROW]
[ROW][C]0.76[/C][C]119557.976740763[/C][C]1844.89335088222[/C][/ROW]
[ROW][C]0.77[/C][C]119969.452282319[/C][C]1871.57731601993[/C][/ROW]
[ROW][C]0.78[/C][C]120396.276948321[/C][C]1910.04172471242[/C][/ROW]
[ROW][C]0.79[/C][C]120841.736626899[/C][C]1960.90472256813[/C][/ROW]
[ROW][C]0.8[/C][C]121309.217034929[/C][C]2022.96342859901[/C][/ROW]
[ROW][C]0.81[/C][C]121801.992672955[/C][C]2093.18910081613[/C][/ROW]
[ROW][C]0.82[/C][C]122323.093084541[/C][C]2168.14264253859[/C][/ROW]
[ROW][C]0.83[/C][C]122875.285831938[/C][C]2244.54731098033[/C][/ROW]
[ROW][C]0.84[/C][C]123461.158230611[/C][C]2320.58235056896[/C][/ROW]
[ROW][C]0.85[/C][C]124083.22398315[/C][C]2395.30017936237[/C][/ROW]
[ROW][C]0.86[/C][C]124743.962274366[/C][C]2468.42506188323[/C][/ROW]
[ROW][C]0.87[/C][C]125445.739790629[/C][C]2538.33441969009[/C][/ROW]
[ROW][C]0.88[/C][C]126190.655393122[/C][C]2601.5683494048[/C][/ROW]
[ROW][C]0.89[/C][C]126980.41410655[/C][C]2652.88507029596[/C][/ROW]
[ROW][C]0.9[/C][C]127816.287746733[/C][C]2687.36255871225[/C][/ROW]
[ROW][C]0.91[/C][C]128699.021266117[/C][C]2702.31583759884[/C][/ROW]
[ROW][C]0.92[/C][C]129628.328561228[/C][C]2695.67663756124[/C][/ROW]
[ROW][C]0.93[/C][C]130601.682338854[/C][C]2661.38990259209[/C][/ROW]
[ROW][C]0.94[/C][C]131612.650224133[/C][C]2584.14044757511[/C][/ROW]
[ROW][C]0.95[/C][C]132649.724607966[/C][C]2442.82566550734[/C][/ROW]
[ROW][C]0.96[/C][C]133696.118477296[/C][C]2223.44014790195[/C][/ROW]
[ROW][C]0.97[/C][C]134727.263084735[/C][C]1929.87905036032[/C][/ROW]
[ROW][C]0.98[/C][C]135696.013459546[/C][C]1591.22654465973[/C][/ROW]
[ROW][C]0.99[/C][C]136499.480654324[/C][C]1298.32720985265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0187415.04472031961157.80945720016
0.0288230.64649632331887.34189842588
0.0389260.75625267232134.29410115964
0.0490299.51059034081998.51005551401
0.0591231.0506187521793.61773731891
0.0692040.0752803911734.33645491423
0.0792766.19572998981838.59300528279
0.0893455.00654869462004.95659091545
0.0994131.55626494892131.24229809291
0.194796.70319932762161.78417526002
0.1195436.32682869922089.21245201502
0.1296033.45626185661942.49664082583
0.1396577.31367001921769.80197935568
0.1497067.20333341711621.15185703052
0.1597511.81211964051534.53605859921
0.1697925.71326604351525.24530671544
0.1798325.01042760861584.22143887706
0.1898723.58286369061686.80743007234
0.1999130.71278599921803.7688987805
0.299550.26819012581909.66847159189
0.2199981.19962232281986.86768865919
0.22100418.8986234722025.89657162688
0.23100856.9192253982025.54652067585
0.24101288.6301075041991.92952111469
0.25101708.4958507721934.60611203003
0.26102112.8395131581865.77099388609
0.27102500.0807088961796.34497439761
0.28102870.5482114461735.09679966892
0.29103226.0213621611687.39534847635
0.3103569.1616099181655.55051664367
0.31103902.9666372961638.51573156619
0.32104230.3323154051634.48351475754
0.33104553.7588992671639.85026442765
0.34104875.1990263561651.54700527398
0.35105196.0212218181666.84852451079
0.36105517.053184971683.0598193497
0.37105838.6703286051698.12978156823
0.38106160.9021918791711.34130394635
0.39106483.5385170641721.56961143481
0.4106806.2254112011728.52783114808
0.41107128.5488056381732.01119424829
0.42107450.1068936571732.55035917529
0.43107770.5752770311730.60300101402
0.44108089.7682774531727.06746610762
0.45108407.6975479221722.85128496593
0.46108724.6253363421719.73310108755
0.47109041.1054825041719.41045995721
0.48109358.0017768991723.97092042749
0.49109676.4720710261735.27601769051
0.5109997.9085985691754.89255261641
0.51110323.8307181381783.58244357863
0.52110655.7350758951820.9753759899
0.53110994.9183178461865.30741798897
0.54111342.2965242661913.72508660043
0.55111698.2509230061962.30994431111
0.56112062.5291962006.58638370582
0.57112434.2251029922042.32402441132
0.58112811.8470620562066.29790929984
0.59113193.4710546082076.27168788087
0.6113576.9579680252071.56637371777
0.61113960.2035314742053.39542036986
0.62114341.3828667712024.22232405292
0.63114719.152560921987.70007826443
0.64115092.7807630221947.92831531602
0.65115462.1885409641908.92012531953
0.66115827.9012542221874.18735956789
0.67116190.9244130231846.12506381383
0.68116552.5719361941825.90335927626
0.69116914.2837223831813.36881832593
0.7117277.4721993821807.07641362545
0.71117643.4327029091805.59513279908
0.72118013.3397500431807.12500276124
0.73118388.3316446211810.99273530398
0.74118769.6626586241817.33942363091
0.75119158.8807951351827.71315557929
0.76119557.9767407631844.89335088222
0.77119969.4522823191871.57731601993
0.78120396.2769483211910.04172471242
0.79120841.7366268991960.90472256813
0.8121309.2170349292022.96342859901
0.81121801.9926729552093.18910081613
0.82122323.0930845412168.14264253859
0.83122875.2858319382244.54731098033
0.84123461.1582306112320.58235056896
0.85124083.223983152395.30017936237
0.86124743.9622743662468.42506188323
0.87125445.7397906292538.33441969009
0.88126190.6553931222601.5683494048
0.89126980.414106552652.88507029596
0.9127816.2877467332687.36255871225
0.91128699.0212661172702.31583759884
0.92129628.3285612282695.67663756124
0.93130601.6823388542661.38990259209
0.94131612.6502241332584.14044757511
0.95132649.7246079662442.82566550734
0.96133696.1184772962223.44014790195
0.97134727.2630847351929.87905036032
0.98135696.0134595461591.22654465973
0.99136499.4806543241298.32720985265


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')