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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 computationWed, 08 Oct 2014 15:32:25 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412778855p6ua58xh69dtpor.htm/, Retrieved Sat, 11 May 2024 14:01:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239718, Retrieved Sat, 11 May 2024 14:01:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [] [2014-10-08 14:32:25] [2f27692a17e58baa8638275162e45e6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110
106
102
98
92
92
120
127
124
114
108
106
111
110
104
100
96
98
122
134
133
125
118
116
118
116
111
108
102
102
129
136
137
126
119
117

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239718&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239718&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239718&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.1552979141863.19991341148926
0.0286.9752474670553.38371645062692
0.0388.88310278516583.18818089954172
0.0490.5529973267342.77812989991201
0.0591.92181246168362.47551191081196
0.0693.05590397738912.38921718840489
0.0794.04309775426622.42103259927984
0.0894.94364970246422.45323389159306
0.0995.78399219156712.4324021354285
0.196.56907714748612.3558301498556
0.1197.29626998748192.24389922687693
0.1297.96378668109572.11971052813326
0.1398.57349349827122.00016529457264
0.1499.13043698187771.8937229228843
0.1599.64135681458761.80269066230968
0.16100.1134441182781.72736541790308
0.17100.5537175578571.66824603002992
0.18100.9688823448131.62734064911186
0.19101.3653709393351.60786442033539
0.2101.7493107519311.61154461032443
0.21102.1263032251231.63733327403999
0.22102.5010421356481.68009713553318
0.23102.8768935766741.73187676368757
0.24103.2555856733531.78301516700136
0.25103.6371201184631.82439668204795
0.26104.0199456458391.84903756182199
0.27104.4013570144731.85314672525912
0.28104.7780278355191.83593433110948
0.29105.1465648236841.79938293980297
0.3105.5039840127251.74760773119632
0.31105.848045139061.68572903506455
0.32106.1774237293051.61899691488203
0.33106.4917381297441.55233318338236
0.34106.7914727078041.48971703777467
0.35107.0778465968491.43451725806589
0.36107.3526721225421.38926881091303
0.37107.6182333446861.35605876416882
0.38107.877198271031.33699349072988
0.39108.1325626095031.33378892947226
0.4108.3876112831441.34837258018549
0.41108.6458776910721.3825448221481
0.42108.9110799868441.43767573320398
0.43109.1870177283571.514199456437
0.44109.4774198827451.61165724172654
0.45109.785744868361.72764524414792
0.46110.1149435860851.85875162500548
0.47110.467205831921.99949802607203
0.48110.8437178253442.14339613132139
0.49111.2444627075342.28296716070719
0.5111.668095819842.41011230448691
0.51112.1119217511882.5171960395572
0.52112.5719904909822.59725561261284
0.53113.0433163031952.64492551710516
0.54113.5202068500882.65712882771233
0.55113.99667415272.63337182167201
0.56114.4668860661772.57578874840743
0.57114.9256096757422.48901502268055
0.58115.3685980323312.37977901973326
0.59115.7928791832582.25626035292399
0.6116.1969202662982.12719312882564
0.61116.580657114892.00122608143269
0.62116.9453983620391.88601758846139
0.63117.2936294258551.78767633906963
0.64117.6287534558081.71067041510437
0.65117.9548114742291.65741634651288
0.66118.2762216117681.6286043234778
0.67118.5975676718261.6235155836622
0.68118.9234518401991.6407720844955
0.69119.2584083522281.67881679581071
0.7119.6068588557981.73634795744031
0.71119.9730809459911.81216252677836
0.72120.3611624622841.90498468300134
0.73120.7749260081162.01259697570625
0.74121.2178268089742.13219153368696
0.75121.6928446724332.25990286589796
0.76122.2023984149242.39140823445417
0.77122.7483024708982.52269068496833
0.78123.3317610514162.65026585864007
0.79123.9533641341442.77145796559597
0.8124.6130269867392.88394808915292
0.81125.3098165629332.98466656614105
0.82126.0416427716933.06918580235991
0.83126.8048564952143.13078947036851
0.84127.5938714148983.16116694502691
0.85128.4009843175283.15137614801429
0.86129.2165750230983.09442654506599
0.87130.0297929808332.986868782516
0.88130.829672039642.83124666728674
0.89131.6063896209622.63658245059963
0.9132.352203147752.41654087124261
0.91133.0616237303022.18564116604183
0.92133.7307652945341.9533399068714
0.93134.3564258930731.72076154632761
0.94134.9357333454281.48450314078122
0.95135.4662811852081.24716787930353
0.96135.9446877968011.02205009439871
0.97136.3611131548980.811063639636938
0.98136.6927587813840.571781682153106
0.99136.9091607390340.267730279544419

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.155297914186 & 3.19991341148926 \tabularnewline
0.02 & 86.975247467055 & 3.38371645062692 \tabularnewline
0.03 & 88.8831027851658 & 3.18818089954172 \tabularnewline
0.04 & 90.552997326734 & 2.77812989991201 \tabularnewline
0.05 & 91.9218124616836 & 2.47551191081196 \tabularnewline
0.06 & 93.0559039773891 & 2.38921718840489 \tabularnewline
0.07 & 94.0430977542662 & 2.42103259927984 \tabularnewline
0.08 & 94.9436497024642 & 2.45323389159306 \tabularnewline
0.09 & 95.7839921915671 & 2.4324021354285 \tabularnewline
0.1 & 96.5690771474861 & 2.3558301498556 \tabularnewline
0.11 & 97.2962699874819 & 2.24389922687693 \tabularnewline
0.12 & 97.9637866810957 & 2.11971052813326 \tabularnewline
0.13 & 98.5734934982712 & 2.00016529457264 \tabularnewline
0.14 & 99.1304369818777 & 1.8937229228843 \tabularnewline
0.15 & 99.6413568145876 & 1.80269066230968 \tabularnewline
0.16 & 100.113444118278 & 1.72736541790308 \tabularnewline
0.17 & 100.553717557857 & 1.66824603002992 \tabularnewline
0.18 & 100.968882344813 & 1.62734064911186 \tabularnewline
0.19 & 101.365370939335 & 1.60786442033539 \tabularnewline
0.2 & 101.749310751931 & 1.61154461032443 \tabularnewline
0.21 & 102.126303225123 & 1.63733327403999 \tabularnewline
0.22 & 102.501042135648 & 1.68009713553318 \tabularnewline
0.23 & 102.876893576674 & 1.73187676368757 \tabularnewline
0.24 & 103.255585673353 & 1.78301516700136 \tabularnewline
0.25 & 103.637120118463 & 1.82439668204795 \tabularnewline
0.26 & 104.019945645839 & 1.84903756182199 \tabularnewline
0.27 & 104.401357014473 & 1.85314672525912 \tabularnewline
0.28 & 104.778027835519 & 1.83593433110948 \tabularnewline
0.29 & 105.146564823684 & 1.79938293980297 \tabularnewline
0.3 & 105.503984012725 & 1.74760773119632 \tabularnewline
0.31 & 105.84804513906 & 1.68572903506455 \tabularnewline
0.32 & 106.177423729305 & 1.61899691488203 \tabularnewline
0.33 & 106.491738129744 & 1.55233318338236 \tabularnewline
0.34 & 106.791472707804 & 1.48971703777467 \tabularnewline
0.35 & 107.077846596849 & 1.43451725806589 \tabularnewline
0.36 & 107.352672122542 & 1.38926881091303 \tabularnewline
0.37 & 107.618233344686 & 1.35605876416882 \tabularnewline
0.38 & 107.87719827103 & 1.33699349072988 \tabularnewline
0.39 & 108.132562609503 & 1.33378892947226 \tabularnewline
0.4 & 108.387611283144 & 1.34837258018549 \tabularnewline
0.41 & 108.645877691072 & 1.3825448221481 \tabularnewline
0.42 & 108.911079986844 & 1.43767573320398 \tabularnewline
0.43 & 109.187017728357 & 1.514199456437 \tabularnewline
0.44 & 109.477419882745 & 1.61165724172654 \tabularnewline
0.45 & 109.78574486836 & 1.72764524414792 \tabularnewline
0.46 & 110.114943586085 & 1.85875162500548 \tabularnewline
0.47 & 110.46720583192 & 1.99949802607203 \tabularnewline
0.48 & 110.843717825344 & 2.14339613132139 \tabularnewline
0.49 & 111.244462707534 & 2.28296716070719 \tabularnewline
0.5 & 111.66809581984 & 2.41011230448691 \tabularnewline
0.51 & 112.111921751188 & 2.5171960395572 \tabularnewline
0.52 & 112.571990490982 & 2.59725561261284 \tabularnewline
0.53 & 113.043316303195 & 2.64492551710516 \tabularnewline
0.54 & 113.520206850088 & 2.65712882771233 \tabularnewline
0.55 & 113.9966741527 & 2.63337182167201 \tabularnewline
0.56 & 114.466886066177 & 2.57578874840743 \tabularnewline
0.57 & 114.925609675742 & 2.48901502268055 \tabularnewline
0.58 & 115.368598032331 & 2.37977901973326 \tabularnewline
0.59 & 115.792879183258 & 2.25626035292399 \tabularnewline
0.6 & 116.196920266298 & 2.12719312882564 \tabularnewline
0.61 & 116.58065711489 & 2.00122608143269 \tabularnewline
0.62 & 116.945398362039 & 1.88601758846139 \tabularnewline
0.63 & 117.293629425855 & 1.78767633906963 \tabularnewline
0.64 & 117.628753455808 & 1.71067041510437 \tabularnewline
0.65 & 117.954811474229 & 1.65741634651288 \tabularnewline
0.66 & 118.276221611768 & 1.6286043234778 \tabularnewline
0.67 & 118.597567671826 & 1.6235155836622 \tabularnewline
0.68 & 118.923451840199 & 1.6407720844955 \tabularnewline
0.69 & 119.258408352228 & 1.67881679581071 \tabularnewline
0.7 & 119.606858855798 & 1.73634795744031 \tabularnewline
0.71 & 119.973080945991 & 1.81216252677836 \tabularnewline
0.72 & 120.361162462284 & 1.90498468300134 \tabularnewline
0.73 & 120.774926008116 & 2.01259697570625 \tabularnewline
0.74 & 121.217826808974 & 2.13219153368696 \tabularnewline
0.75 & 121.692844672433 & 2.25990286589796 \tabularnewline
0.76 & 122.202398414924 & 2.39140823445417 \tabularnewline
0.77 & 122.748302470898 & 2.52269068496833 \tabularnewline
0.78 & 123.331761051416 & 2.65026585864007 \tabularnewline
0.79 & 123.953364134144 & 2.77145796559597 \tabularnewline
0.8 & 124.613026986739 & 2.88394808915292 \tabularnewline
0.81 & 125.309816562933 & 2.98466656614105 \tabularnewline
0.82 & 126.041642771693 & 3.06918580235991 \tabularnewline
0.83 & 126.804856495214 & 3.13078947036851 \tabularnewline
0.84 & 127.593871414898 & 3.16116694502691 \tabularnewline
0.85 & 128.400984317528 & 3.15137614801429 \tabularnewline
0.86 & 129.216575023098 & 3.09442654506599 \tabularnewline
0.87 & 130.029792980833 & 2.986868782516 \tabularnewline
0.88 & 130.82967203964 & 2.83124666728674 \tabularnewline
0.89 & 131.606389620962 & 2.63658245059963 \tabularnewline
0.9 & 132.35220314775 & 2.41654087124261 \tabularnewline
0.91 & 133.061623730302 & 2.18564116604183 \tabularnewline
0.92 & 133.730765294534 & 1.9533399068714 \tabularnewline
0.93 & 134.356425893073 & 1.72076154632761 \tabularnewline
0.94 & 134.935733345428 & 1.48450314078122 \tabularnewline
0.95 & 135.466281185208 & 1.24716787930353 \tabularnewline
0.96 & 135.944687796801 & 1.02205009439871 \tabularnewline
0.97 & 136.361113154898 & 0.811063639636938 \tabularnewline
0.98 & 136.692758781384 & 0.571781682153106 \tabularnewline
0.99 & 136.909160739034 & 0.267730279544419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239718&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]85.155297914186[/C][C]3.19991341148926[/C][/ROW]
[ROW][C]0.02[/C][C]86.975247467055[/C][C]3.38371645062692[/C][/ROW]
[ROW][C]0.03[/C][C]88.8831027851658[/C][C]3.18818089954172[/C][/ROW]
[ROW][C]0.04[/C][C]90.552997326734[/C][C]2.77812989991201[/C][/ROW]
[ROW][C]0.05[/C][C]91.9218124616836[/C][C]2.47551191081196[/C][/ROW]
[ROW][C]0.06[/C][C]93.0559039773891[/C][C]2.38921718840489[/C][/ROW]
[ROW][C]0.07[/C][C]94.0430977542662[/C][C]2.42103259927984[/C][/ROW]
[ROW][C]0.08[/C][C]94.9436497024642[/C][C]2.45323389159306[/C][/ROW]
[ROW][C]0.09[/C][C]95.7839921915671[/C][C]2.4324021354285[/C][/ROW]
[ROW][C]0.1[/C][C]96.5690771474861[/C][C]2.3558301498556[/C][/ROW]
[ROW][C]0.11[/C][C]97.2962699874819[/C][C]2.24389922687693[/C][/ROW]
[ROW][C]0.12[/C][C]97.9637866810957[/C][C]2.11971052813326[/C][/ROW]
[ROW][C]0.13[/C][C]98.5734934982712[/C][C]2.00016529457264[/C][/ROW]
[ROW][C]0.14[/C][C]99.1304369818777[/C][C]1.8937229228843[/C][/ROW]
[ROW][C]0.15[/C][C]99.6413568145876[/C][C]1.80269066230968[/C][/ROW]
[ROW][C]0.16[/C][C]100.113444118278[/C][C]1.72736541790308[/C][/ROW]
[ROW][C]0.17[/C][C]100.553717557857[/C][C]1.66824603002992[/C][/ROW]
[ROW][C]0.18[/C][C]100.968882344813[/C][C]1.62734064911186[/C][/ROW]
[ROW][C]0.19[/C][C]101.365370939335[/C][C]1.60786442033539[/C][/ROW]
[ROW][C]0.2[/C][C]101.749310751931[/C][C]1.61154461032443[/C][/ROW]
[ROW][C]0.21[/C][C]102.126303225123[/C][C]1.63733327403999[/C][/ROW]
[ROW][C]0.22[/C][C]102.501042135648[/C][C]1.68009713553318[/C][/ROW]
[ROW][C]0.23[/C][C]102.876893576674[/C][C]1.73187676368757[/C][/ROW]
[ROW][C]0.24[/C][C]103.255585673353[/C][C]1.78301516700136[/C][/ROW]
[ROW][C]0.25[/C][C]103.637120118463[/C][C]1.82439668204795[/C][/ROW]
[ROW][C]0.26[/C][C]104.019945645839[/C][C]1.84903756182199[/C][/ROW]
[ROW][C]0.27[/C][C]104.401357014473[/C][C]1.85314672525912[/C][/ROW]
[ROW][C]0.28[/C][C]104.778027835519[/C][C]1.83593433110948[/C][/ROW]
[ROW][C]0.29[/C][C]105.146564823684[/C][C]1.79938293980297[/C][/ROW]
[ROW][C]0.3[/C][C]105.503984012725[/C][C]1.74760773119632[/C][/ROW]
[ROW][C]0.31[/C][C]105.84804513906[/C][C]1.68572903506455[/C][/ROW]
[ROW][C]0.32[/C][C]106.177423729305[/C][C]1.61899691488203[/C][/ROW]
[ROW][C]0.33[/C][C]106.491738129744[/C][C]1.55233318338236[/C][/ROW]
[ROW][C]0.34[/C][C]106.791472707804[/C][C]1.48971703777467[/C][/ROW]
[ROW][C]0.35[/C][C]107.077846596849[/C][C]1.43451725806589[/C][/ROW]
[ROW][C]0.36[/C][C]107.352672122542[/C][C]1.38926881091303[/C][/ROW]
[ROW][C]0.37[/C][C]107.618233344686[/C][C]1.35605876416882[/C][/ROW]
[ROW][C]0.38[/C][C]107.87719827103[/C][C]1.33699349072988[/C][/ROW]
[ROW][C]0.39[/C][C]108.132562609503[/C][C]1.33378892947226[/C][/ROW]
[ROW][C]0.4[/C][C]108.387611283144[/C][C]1.34837258018549[/C][/ROW]
[ROW][C]0.41[/C][C]108.645877691072[/C][C]1.3825448221481[/C][/ROW]
[ROW][C]0.42[/C][C]108.911079986844[/C][C]1.43767573320398[/C][/ROW]
[ROW][C]0.43[/C][C]109.187017728357[/C][C]1.514199456437[/C][/ROW]
[ROW][C]0.44[/C][C]109.477419882745[/C][C]1.61165724172654[/C][/ROW]
[ROW][C]0.45[/C][C]109.78574486836[/C][C]1.72764524414792[/C][/ROW]
[ROW][C]0.46[/C][C]110.114943586085[/C][C]1.85875162500548[/C][/ROW]
[ROW][C]0.47[/C][C]110.46720583192[/C][C]1.99949802607203[/C][/ROW]
[ROW][C]0.48[/C][C]110.843717825344[/C][C]2.14339613132139[/C][/ROW]
[ROW][C]0.49[/C][C]111.244462707534[/C][C]2.28296716070719[/C][/ROW]
[ROW][C]0.5[/C][C]111.66809581984[/C][C]2.41011230448691[/C][/ROW]
[ROW][C]0.51[/C][C]112.111921751188[/C][C]2.5171960395572[/C][/ROW]
[ROW][C]0.52[/C][C]112.571990490982[/C][C]2.59725561261284[/C][/ROW]
[ROW][C]0.53[/C][C]113.043316303195[/C][C]2.64492551710516[/C][/ROW]
[ROW][C]0.54[/C][C]113.520206850088[/C][C]2.65712882771233[/C][/ROW]
[ROW][C]0.55[/C][C]113.9966741527[/C][C]2.63337182167201[/C][/ROW]
[ROW][C]0.56[/C][C]114.466886066177[/C][C]2.57578874840743[/C][/ROW]
[ROW][C]0.57[/C][C]114.925609675742[/C][C]2.48901502268055[/C][/ROW]
[ROW][C]0.58[/C][C]115.368598032331[/C][C]2.37977901973326[/C][/ROW]
[ROW][C]0.59[/C][C]115.792879183258[/C][C]2.25626035292399[/C][/ROW]
[ROW][C]0.6[/C][C]116.196920266298[/C][C]2.12719312882564[/C][/ROW]
[ROW][C]0.61[/C][C]116.58065711489[/C][C]2.00122608143269[/C][/ROW]
[ROW][C]0.62[/C][C]116.945398362039[/C][C]1.88601758846139[/C][/ROW]
[ROW][C]0.63[/C][C]117.293629425855[/C][C]1.78767633906963[/C][/ROW]
[ROW][C]0.64[/C][C]117.628753455808[/C][C]1.71067041510437[/C][/ROW]
[ROW][C]0.65[/C][C]117.954811474229[/C][C]1.65741634651288[/C][/ROW]
[ROW][C]0.66[/C][C]118.276221611768[/C][C]1.6286043234778[/C][/ROW]
[ROW][C]0.67[/C][C]118.597567671826[/C][C]1.6235155836622[/C][/ROW]
[ROW][C]0.68[/C][C]118.923451840199[/C][C]1.6407720844955[/C][/ROW]
[ROW][C]0.69[/C][C]119.258408352228[/C][C]1.67881679581071[/C][/ROW]
[ROW][C]0.7[/C][C]119.606858855798[/C][C]1.73634795744031[/C][/ROW]
[ROW][C]0.71[/C][C]119.973080945991[/C][C]1.81216252677836[/C][/ROW]
[ROW][C]0.72[/C][C]120.361162462284[/C][C]1.90498468300134[/C][/ROW]
[ROW][C]0.73[/C][C]120.774926008116[/C][C]2.01259697570625[/C][/ROW]
[ROW][C]0.74[/C][C]121.217826808974[/C][C]2.13219153368696[/C][/ROW]
[ROW][C]0.75[/C][C]121.692844672433[/C][C]2.25990286589796[/C][/ROW]
[ROW][C]0.76[/C][C]122.202398414924[/C][C]2.39140823445417[/C][/ROW]
[ROW][C]0.77[/C][C]122.748302470898[/C][C]2.52269068496833[/C][/ROW]
[ROW][C]0.78[/C][C]123.331761051416[/C][C]2.65026585864007[/C][/ROW]
[ROW][C]0.79[/C][C]123.953364134144[/C][C]2.77145796559597[/C][/ROW]
[ROW][C]0.8[/C][C]124.613026986739[/C][C]2.88394808915292[/C][/ROW]
[ROW][C]0.81[/C][C]125.309816562933[/C][C]2.98466656614105[/C][/ROW]
[ROW][C]0.82[/C][C]126.041642771693[/C][C]3.06918580235991[/C][/ROW]
[ROW][C]0.83[/C][C]126.804856495214[/C][C]3.13078947036851[/C][/ROW]
[ROW][C]0.84[/C][C]127.593871414898[/C][C]3.16116694502691[/C][/ROW]
[ROW][C]0.85[/C][C]128.400984317528[/C][C]3.15137614801429[/C][/ROW]
[ROW][C]0.86[/C][C]129.216575023098[/C][C]3.09442654506599[/C][/ROW]
[ROW][C]0.87[/C][C]130.029792980833[/C][C]2.986868782516[/C][/ROW]
[ROW][C]0.88[/C][C]130.82967203964[/C][C]2.83124666728674[/C][/ROW]
[ROW][C]0.89[/C][C]131.606389620962[/C][C]2.63658245059963[/C][/ROW]
[ROW][C]0.9[/C][C]132.35220314775[/C][C]2.41654087124261[/C][/ROW]
[ROW][C]0.91[/C][C]133.061623730302[/C][C]2.18564116604183[/C][/ROW]
[ROW][C]0.92[/C][C]133.730765294534[/C][C]1.9533399068714[/C][/ROW]
[ROW][C]0.93[/C][C]134.356425893073[/C][C]1.72076154632761[/C][/ROW]
[ROW][C]0.94[/C][C]134.935733345428[/C][C]1.48450314078122[/C][/ROW]
[ROW][C]0.95[/C][C]135.466281185208[/C][C]1.24716787930353[/C][/ROW]
[ROW][C]0.96[/C][C]135.944687796801[/C][C]1.02205009439871[/C][/ROW]
[ROW][C]0.97[/C][C]136.361113154898[/C][C]0.811063639636938[/C][/ROW]
[ROW][C]0.98[/C][C]136.692758781384[/C][C]0.571781682153106[/C][/ROW]
[ROW][C]0.99[/C][C]136.909160739034[/C][C]0.267730279544419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239718&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239718&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
0.0185.1552979141863.19991341148926
0.0286.9752474670553.38371645062692
0.0388.88310278516583.18818089954172
0.0490.5529973267342.77812989991201
0.0591.92181246168362.47551191081196
0.0693.05590397738912.38921718840489
0.0794.04309775426622.42103259927984
0.0894.94364970246422.45323389159306
0.0995.78399219156712.4324021354285
0.196.56907714748612.3558301498556
0.1197.29626998748192.24389922687693
0.1297.96378668109572.11971052813326
0.1398.57349349827122.00016529457264
0.1499.13043698187771.8937229228843
0.1599.64135681458761.80269066230968
0.16100.1134441182781.72736541790308
0.17100.5537175578571.66824603002992
0.18100.9688823448131.62734064911186
0.19101.3653709393351.60786442033539
0.2101.7493107519311.61154461032443
0.21102.1263032251231.63733327403999
0.22102.5010421356481.68009713553318
0.23102.8768935766741.73187676368757
0.24103.2555856733531.78301516700136
0.25103.6371201184631.82439668204795
0.26104.0199456458391.84903756182199
0.27104.4013570144731.85314672525912
0.28104.7780278355191.83593433110948
0.29105.1465648236841.79938293980297
0.3105.5039840127251.74760773119632
0.31105.848045139061.68572903506455
0.32106.1774237293051.61899691488203
0.33106.4917381297441.55233318338236
0.34106.7914727078041.48971703777467
0.35107.0778465968491.43451725806589
0.36107.3526721225421.38926881091303
0.37107.6182333446861.35605876416882
0.38107.877198271031.33699349072988
0.39108.1325626095031.33378892947226
0.4108.3876112831441.34837258018549
0.41108.6458776910721.3825448221481
0.42108.9110799868441.43767573320398
0.43109.1870177283571.514199456437
0.44109.4774198827451.61165724172654
0.45109.785744868361.72764524414792
0.46110.1149435860851.85875162500548
0.47110.467205831921.99949802607203
0.48110.8437178253442.14339613132139
0.49111.2444627075342.28296716070719
0.5111.668095819842.41011230448691
0.51112.1119217511882.5171960395572
0.52112.5719904909822.59725561261284
0.53113.0433163031952.64492551710516
0.54113.5202068500882.65712882771233
0.55113.99667415272.63337182167201
0.56114.4668860661772.57578874840743
0.57114.9256096757422.48901502268055
0.58115.3685980323312.37977901973326
0.59115.7928791832582.25626035292399
0.6116.1969202662982.12719312882564
0.61116.580657114892.00122608143269
0.62116.9453983620391.88601758846139
0.63117.2936294258551.78767633906963
0.64117.6287534558081.71067041510437
0.65117.9548114742291.65741634651288
0.66118.2762216117681.6286043234778
0.67118.5975676718261.6235155836622
0.68118.9234518401991.6407720844955
0.69119.2584083522281.67881679581071
0.7119.6068588557981.73634795744031
0.71119.9730809459911.81216252677836
0.72120.3611624622841.90498468300134
0.73120.7749260081162.01259697570625
0.74121.2178268089742.13219153368696
0.75121.6928446724332.25990286589796
0.76122.2023984149242.39140823445417
0.77122.7483024708982.52269068496833
0.78123.3317610514162.65026585864007
0.79123.9533641341442.77145796559597
0.8124.6130269867392.88394808915292
0.81125.3098165629332.98466656614105
0.82126.0416427716933.06918580235991
0.83126.8048564952143.13078947036851
0.84127.5938714148983.16116694502691
0.85128.4009843175283.15137614801429
0.86129.2165750230983.09442654506599
0.87130.0297929808332.986868782516
0.88130.829672039642.83124666728674
0.89131.6063896209622.63658245059963
0.9132.352203147752.41654087124261
0.91133.0616237303022.18564116604183
0.92133.7307652945341.9533399068714
0.93134.3564258930731.72076154632761
0.94134.9357333454281.48450314078122
0.95135.4662811852081.24716787930353
0.96135.9446877968011.02205009439871
0.97136.3611131548980.811063639636938
0.98136.6927587813840.571781682153106
0.99136.9091607390340.267730279544419


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')