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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 computationThu, 29 Jul 2010 14:17:07 +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/Jul/29/t12804130098d2gz8q8825gxy8.htm/, Retrieved Mon, 29 Apr 2024 01:31:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78190, Retrieved Mon, 29 Apr 2024 01:31:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSchrauwen Nathalie
Estimated Impact163

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] [TIJDREEKS A - STA...] [2010-07-29 14:17:07] [dd2ef098fd65ce7e9f689caa343b799f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125
124
123
121
141
140
125
115
116
116
117
119
114
110
108
111
124
125
118
108
107
103
113
116
113
105
102
107
119
116
113
102
96
95
101
110
103
88
79
96
118
116
114
102
98
98
101
117
109
98
93
98
114
115
112
112
103
107
104
117
123
113
97
90
109
104
92
102
90
97
99
108
106
86
72
71
96
88
83
90
85
100
108
118
124
99
92
86
112
104
93
104
96
109
113
123
127
96
100
95
133
130
117
129
122
134
141
152
161
122
126
119
160
162
145
161
151
166
169
185

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78190&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78190&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78190&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0173.07678330286033.87312028839551
0.0277.02667976715355.23449327535066
0.0380.90419659130114.34016560077742
0.0483.74471179427233.14881008681166
0.0585.65838960394812.46372886209304
0.0687.03919726614022.22031759119505
0.0788.16767998210232.16604079511480
0.0889.1769163932282.16039019220389
0.0990.11822490355042.16812907032031
0.191.01106594885342.18029534099787
0.1191.8622779223322.17795767045627
0.1292.66993752215962.13664236898898
0.1393.42537784147922.04167558009506
0.1494.11782070220751.89770291985503
0.1594.74016007559331.72762973171495
0.1695.29304715271651.56428734334079
0.1795.78562770926741.438543788675
0.1896.23315248198241.36777068850139
0.1996.65302779689451.35250610291880
0.297.06115155846871.38066464551247
0.2197.46970021009021.43721512619419
0.2297.88650611134661.50857463519214
0.2398.31545132565321.58455921163865
0.2498.75718847120451.65585657176680
0.2599.20981679370921.71418849400951
0.2699.66952065216971.75284976439946
0.27100.1313434483471.76817957146514
0.28100.5901833821351.76197051585697
0.29101.0418962353221.74053442758604
0.3101.4842431163051.71380741107647
0.31101.9174149521951.69355736928656
0.32102.3439838205461.68943724250984
0.33102.7682987847921.70760877382784
0.34103.1954873434651.74878072792908
0.35103.6303056784561.80819629300256
0.36104.0760994954111.87725479738942
0.37104.5341050079811.94468231256127
0.38105.0032465829492.00002561812558
0.39105.4804796038822.03546885377999
0.4105.9615964261712.04810429112653
0.41106.4422876303572.04037270842294
0.42106.9191699415812.01949210854944
0.43107.3904913563881.99476323774005
0.44107.8563140586271.97551043896761
0.45108.3181333169031.96741909959033
0.46108.7780649216871.97091583519066
0.47109.2378661665421.98133877320267
0.48109.6981019539771.99055654917898
0.49110.1577144922821.98955996183005
0.5110.6141217261341.97130428336854
0.51111.0638006350411.93337889562565
0.52111.5031611345111.87745491939209
0.53111.9294315508861.81007877788832
0.54112.3412830578081.73965715953817
0.55112.7390143391611.67448341307017
0.56113.1242670678511.62047491349798
0.57113.4993973290941.57930854698589
0.58113.866736096511.54838460964338
0.59114.2279980090651.52300327739386
0.6114.5840360207801.49789409466293
0.61114.9350155049631.46999245311458
0.62115.2809419223561.43940463377941
0.63115.6223703398091.41036322566779
0.64115.9610842775521.38969438177327
0.65116.3005572968961.38586558063355
0.66116.6460780511561.40677131536253
0.67117.0044921162731.45826138820399
0.68117.3835668778531.54244284714709
0.69117.7910201432881.65668481114447
0.7118.2332933504371.79281926153700
0.71118.7142227225571.93717782556048
0.72119.2338666018002.07238057463234
0.73119.7878424795522.17890883171313
0.74120.3675423779312.24081880878787
0.75120.9614737108012.24867160319582
0.76121.5577197545732.20498889542081
0.77122.1472121019592.12515808014761
0.78122.7272781883612.03775933846061
0.79123.3048526809801.98156499192638
0.8123.8988055636692.00190201228096
0.81124.5409384233252.14315166528501
0.82125.2752343008462.43911647142452
0.83126.1549343490122.90361778589361
0.84127.2371501221753.52531895435905
0.85128.5753132963624.26558214172318
0.86130.2110187944905.06172498003681
0.87132.1684005332955.83792569307772
0.88134.4547395564616.53112314169702
0.89137.0683454877767.11796183026664
0.9140.0077199696417.61847314617337
0.91143.2679619626758.04624767722452
0.92146.8111644448138.316715879521
0.93150.5187739177518.20691570969522
0.94154.1737953534877.4770392741665
0.95157.5451805190386.14834811682287
0.96160.6038102101034.74552538372288
0.97163.8345992250934.19862902074527
0.98168.6436498017645.48472182377768
0.99176.83739371583410.0909016868426

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 73.0767833028603 & 3.87312028839551 \tabularnewline
0.02 & 77.0266797671535 & 5.23449327535066 \tabularnewline
0.03 & 80.9041965913011 & 4.34016560077742 \tabularnewline
0.04 & 83.7447117942723 & 3.14881008681166 \tabularnewline
0.05 & 85.6583896039481 & 2.46372886209304 \tabularnewline
0.06 & 87.0391972661402 & 2.22031759119505 \tabularnewline
0.07 & 88.1676799821023 & 2.16604079511480 \tabularnewline
0.08 & 89.176916393228 & 2.16039019220389 \tabularnewline
0.09 & 90.1182249035504 & 2.16812907032031 \tabularnewline
0.1 & 91.0110659488534 & 2.18029534099787 \tabularnewline
0.11 & 91.862277922332 & 2.17795767045627 \tabularnewline
0.12 & 92.6699375221596 & 2.13664236898898 \tabularnewline
0.13 & 93.4253778414792 & 2.04167558009506 \tabularnewline
0.14 & 94.1178207022075 & 1.89770291985503 \tabularnewline
0.15 & 94.7401600755933 & 1.72762973171495 \tabularnewline
0.16 & 95.2930471527165 & 1.56428734334079 \tabularnewline
0.17 & 95.7856277092674 & 1.438543788675 \tabularnewline
0.18 & 96.2331524819824 & 1.36777068850139 \tabularnewline
0.19 & 96.6530277968945 & 1.35250610291880 \tabularnewline
0.2 & 97.0611515584687 & 1.38066464551247 \tabularnewline
0.21 & 97.4697002100902 & 1.43721512619419 \tabularnewline
0.22 & 97.8865061113466 & 1.50857463519214 \tabularnewline
0.23 & 98.3154513256532 & 1.58455921163865 \tabularnewline
0.24 & 98.7571884712045 & 1.65585657176680 \tabularnewline
0.25 & 99.2098167937092 & 1.71418849400951 \tabularnewline
0.26 & 99.6695206521697 & 1.75284976439946 \tabularnewline
0.27 & 100.131343448347 & 1.76817957146514 \tabularnewline
0.28 & 100.590183382135 & 1.76197051585697 \tabularnewline
0.29 & 101.041896235322 & 1.74053442758604 \tabularnewline
0.3 & 101.484243116305 & 1.71380741107647 \tabularnewline
0.31 & 101.917414952195 & 1.69355736928656 \tabularnewline
0.32 & 102.343983820546 & 1.68943724250984 \tabularnewline
0.33 & 102.768298784792 & 1.70760877382784 \tabularnewline
0.34 & 103.195487343465 & 1.74878072792908 \tabularnewline
0.35 & 103.630305678456 & 1.80819629300256 \tabularnewline
0.36 & 104.076099495411 & 1.87725479738942 \tabularnewline
0.37 & 104.534105007981 & 1.94468231256127 \tabularnewline
0.38 & 105.003246582949 & 2.00002561812558 \tabularnewline
0.39 & 105.480479603882 & 2.03546885377999 \tabularnewline
0.4 & 105.961596426171 & 2.04810429112653 \tabularnewline
0.41 & 106.442287630357 & 2.04037270842294 \tabularnewline
0.42 & 106.919169941581 & 2.01949210854944 \tabularnewline
0.43 & 107.390491356388 & 1.99476323774005 \tabularnewline
0.44 & 107.856314058627 & 1.97551043896761 \tabularnewline
0.45 & 108.318133316903 & 1.96741909959033 \tabularnewline
0.46 & 108.778064921687 & 1.97091583519066 \tabularnewline
0.47 & 109.237866166542 & 1.98133877320267 \tabularnewline
0.48 & 109.698101953977 & 1.99055654917898 \tabularnewline
0.49 & 110.157714492282 & 1.98955996183005 \tabularnewline
0.5 & 110.614121726134 & 1.97130428336854 \tabularnewline
0.51 & 111.063800635041 & 1.93337889562565 \tabularnewline
0.52 & 111.503161134511 & 1.87745491939209 \tabularnewline
0.53 & 111.929431550886 & 1.81007877788832 \tabularnewline
0.54 & 112.341283057808 & 1.73965715953817 \tabularnewline
0.55 & 112.739014339161 & 1.67448341307017 \tabularnewline
0.56 & 113.124267067851 & 1.62047491349798 \tabularnewline
0.57 & 113.499397329094 & 1.57930854698589 \tabularnewline
0.58 & 113.86673609651 & 1.54838460964338 \tabularnewline
0.59 & 114.227998009065 & 1.52300327739386 \tabularnewline
0.6 & 114.584036020780 & 1.49789409466293 \tabularnewline
0.61 & 114.935015504963 & 1.46999245311458 \tabularnewline
0.62 & 115.280941922356 & 1.43940463377941 \tabularnewline
0.63 & 115.622370339809 & 1.41036322566779 \tabularnewline
0.64 & 115.961084277552 & 1.38969438177327 \tabularnewline
0.65 & 116.300557296896 & 1.38586558063355 \tabularnewline
0.66 & 116.646078051156 & 1.40677131536253 \tabularnewline
0.67 & 117.004492116273 & 1.45826138820399 \tabularnewline
0.68 & 117.383566877853 & 1.54244284714709 \tabularnewline
0.69 & 117.791020143288 & 1.65668481114447 \tabularnewline
0.7 & 118.233293350437 & 1.79281926153700 \tabularnewline
0.71 & 118.714222722557 & 1.93717782556048 \tabularnewline
0.72 & 119.233866601800 & 2.07238057463234 \tabularnewline
0.73 & 119.787842479552 & 2.17890883171313 \tabularnewline
0.74 & 120.367542377931 & 2.24081880878787 \tabularnewline
0.75 & 120.961473710801 & 2.24867160319582 \tabularnewline
0.76 & 121.557719754573 & 2.20498889542081 \tabularnewline
0.77 & 122.147212101959 & 2.12515808014761 \tabularnewline
0.78 & 122.727278188361 & 2.03775933846061 \tabularnewline
0.79 & 123.304852680980 & 1.98156499192638 \tabularnewline
0.8 & 123.898805563669 & 2.00190201228096 \tabularnewline
0.81 & 124.540938423325 & 2.14315166528501 \tabularnewline
0.82 & 125.275234300846 & 2.43911647142452 \tabularnewline
0.83 & 126.154934349012 & 2.90361778589361 \tabularnewline
0.84 & 127.237150122175 & 3.52531895435905 \tabularnewline
0.85 & 128.575313296362 & 4.26558214172318 \tabularnewline
0.86 & 130.211018794490 & 5.06172498003681 \tabularnewline
0.87 & 132.168400533295 & 5.83792569307772 \tabularnewline
0.88 & 134.454739556461 & 6.53112314169702 \tabularnewline
0.89 & 137.068345487776 & 7.11796183026664 \tabularnewline
0.9 & 140.007719969641 & 7.61847314617337 \tabularnewline
0.91 & 143.267961962675 & 8.04624767722452 \tabularnewline
0.92 & 146.811164444813 & 8.316715879521 \tabularnewline
0.93 & 150.518773917751 & 8.20691570969522 \tabularnewline
0.94 & 154.173795353487 & 7.4770392741665 \tabularnewline
0.95 & 157.545180519038 & 6.14834811682287 \tabularnewline
0.96 & 160.603810210103 & 4.74552538372288 \tabularnewline
0.97 & 163.834599225093 & 4.19862902074527 \tabularnewline
0.98 & 168.643649801764 & 5.48472182377768 \tabularnewline
0.99 & 176.837393715834 & 10.0909016868426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78190&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]73.0767833028603[/C][C]3.87312028839551[/C][/ROW]
[ROW][C]0.02[/C][C]77.0266797671535[/C][C]5.23449327535066[/C][/ROW]
[ROW][C]0.03[/C][C]80.9041965913011[/C][C]4.34016560077742[/C][/ROW]
[ROW][C]0.04[/C][C]83.7447117942723[/C][C]3.14881008681166[/C][/ROW]
[ROW][C]0.05[/C][C]85.6583896039481[/C][C]2.46372886209304[/C][/ROW]
[ROW][C]0.06[/C][C]87.0391972661402[/C][C]2.22031759119505[/C][/ROW]
[ROW][C]0.07[/C][C]88.1676799821023[/C][C]2.16604079511480[/C][/ROW]
[ROW][C]0.08[/C][C]89.176916393228[/C][C]2.16039019220389[/C][/ROW]
[ROW][C]0.09[/C][C]90.1182249035504[/C][C]2.16812907032031[/C][/ROW]
[ROW][C]0.1[/C][C]91.0110659488534[/C][C]2.18029534099787[/C][/ROW]
[ROW][C]0.11[/C][C]91.862277922332[/C][C]2.17795767045627[/C][/ROW]
[ROW][C]0.12[/C][C]92.6699375221596[/C][C]2.13664236898898[/C][/ROW]
[ROW][C]0.13[/C][C]93.4253778414792[/C][C]2.04167558009506[/C][/ROW]
[ROW][C]0.14[/C][C]94.1178207022075[/C][C]1.89770291985503[/C][/ROW]
[ROW][C]0.15[/C][C]94.7401600755933[/C][C]1.72762973171495[/C][/ROW]
[ROW][C]0.16[/C][C]95.2930471527165[/C][C]1.56428734334079[/C][/ROW]
[ROW][C]0.17[/C][C]95.7856277092674[/C][C]1.438543788675[/C][/ROW]
[ROW][C]0.18[/C][C]96.2331524819824[/C][C]1.36777068850139[/C][/ROW]
[ROW][C]0.19[/C][C]96.6530277968945[/C][C]1.35250610291880[/C][/ROW]
[ROW][C]0.2[/C][C]97.0611515584687[/C][C]1.38066464551247[/C][/ROW]
[ROW][C]0.21[/C][C]97.4697002100902[/C][C]1.43721512619419[/C][/ROW]
[ROW][C]0.22[/C][C]97.8865061113466[/C][C]1.50857463519214[/C][/ROW]
[ROW][C]0.23[/C][C]98.3154513256532[/C][C]1.58455921163865[/C][/ROW]
[ROW][C]0.24[/C][C]98.7571884712045[/C][C]1.65585657176680[/C][/ROW]
[ROW][C]0.25[/C][C]99.2098167937092[/C][C]1.71418849400951[/C][/ROW]
[ROW][C]0.26[/C][C]99.6695206521697[/C][C]1.75284976439946[/C][/ROW]
[ROW][C]0.27[/C][C]100.131343448347[/C][C]1.76817957146514[/C][/ROW]
[ROW][C]0.28[/C][C]100.590183382135[/C][C]1.76197051585697[/C][/ROW]
[ROW][C]0.29[/C][C]101.041896235322[/C][C]1.74053442758604[/C][/ROW]
[ROW][C]0.3[/C][C]101.484243116305[/C][C]1.71380741107647[/C][/ROW]
[ROW][C]0.31[/C][C]101.917414952195[/C][C]1.69355736928656[/C][/ROW]
[ROW][C]0.32[/C][C]102.343983820546[/C][C]1.68943724250984[/C][/ROW]
[ROW][C]0.33[/C][C]102.768298784792[/C][C]1.70760877382784[/C][/ROW]
[ROW][C]0.34[/C][C]103.195487343465[/C][C]1.74878072792908[/C][/ROW]
[ROW][C]0.35[/C][C]103.630305678456[/C][C]1.80819629300256[/C][/ROW]
[ROW][C]0.36[/C][C]104.076099495411[/C][C]1.87725479738942[/C][/ROW]
[ROW][C]0.37[/C][C]104.534105007981[/C][C]1.94468231256127[/C][/ROW]
[ROW][C]0.38[/C][C]105.003246582949[/C][C]2.00002561812558[/C][/ROW]
[ROW][C]0.39[/C][C]105.480479603882[/C][C]2.03546885377999[/C][/ROW]
[ROW][C]0.4[/C][C]105.961596426171[/C][C]2.04810429112653[/C][/ROW]
[ROW][C]0.41[/C][C]106.442287630357[/C][C]2.04037270842294[/C][/ROW]
[ROW][C]0.42[/C][C]106.919169941581[/C][C]2.01949210854944[/C][/ROW]
[ROW][C]0.43[/C][C]107.390491356388[/C][C]1.99476323774005[/C][/ROW]
[ROW][C]0.44[/C][C]107.856314058627[/C][C]1.97551043896761[/C][/ROW]
[ROW][C]0.45[/C][C]108.318133316903[/C][C]1.96741909959033[/C][/ROW]
[ROW][C]0.46[/C][C]108.778064921687[/C][C]1.97091583519066[/C][/ROW]
[ROW][C]0.47[/C][C]109.237866166542[/C][C]1.98133877320267[/C][/ROW]
[ROW][C]0.48[/C][C]109.698101953977[/C][C]1.99055654917898[/C][/ROW]
[ROW][C]0.49[/C][C]110.157714492282[/C][C]1.98955996183005[/C][/ROW]
[ROW][C]0.5[/C][C]110.614121726134[/C][C]1.97130428336854[/C][/ROW]
[ROW][C]0.51[/C][C]111.063800635041[/C][C]1.93337889562565[/C][/ROW]
[ROW][C]0.52[/C][C]111.503161134511[/C][C]1.87745491939209[/C][/ROW]
[ROW][C]0.53[/C][C]111.929431550886[/C][C]1.81007877788832[/C][/ROW]
[ROW][C]0.54[/C][C]112.341283057808[/C][C]1.73965715953817[/C][/ROW]
[ROW][C]0.55[/C][C]112.739014339161[/C][C]1.67448341307017[/C][/ROW]
[ROW][C]0.56[/C][C]113.124267067851[/C][C]1.62047491349798[/C][/ROW]
[ROW][C]0.57[/C][C]113.499397329094[/C][C]1.57930854698589[/C][/ROW]
[ROW][C]0.58[/C][C]113.86673609651[/C][C]1.54838460964338[/C][/ROW]
[ROW][C]0.59[/C][C]114.227998009065[/C][C]1.52300327739386[/C][/ROW]
[ROW][C]0.6[/C][C]114.584036020780[/C][C]1.49789409466293[/C][/ROW]
[ROW][C]0.61[/C][C]114.935015504963[/C][C]1.46999245311458[/C][/ROW]
[ROW][C]0.62[/C][C]115.280941922356[/C][C]1.43940463377941[/C][/ROW]
[ROW][C]0.63[/C][C]115.622370339809[/C][C]1.41036322566779[/C][/ROW]
[ROW][C]0.64[/C][C]115.961084277552[/C][C]1.38969438177327[/C][/ROW]
[ROW][C]0.65[/C][C]116.300557296896[/C][C]1.38586558063355[/C][/ROW]
[ROW][C]0.66[/C][C]116.646078051156[/C][C]1.40677131536253[/C][/ROW]
[ROW][C]0.67[/C][C]117.004492116273[/C][C]1.45826138820399[/C][/ROW]
[ROW][C]0.68[/C][C]117.383566877853[/C][C]1.54244284714709[/C][/ROW]
[ROW][C]0.69[/C][C]117.791020143288[/C][C]1.65668481114447[/C][/ROW]
[ROW][C]0.7[/C][C]118.233293350437[/C][C]1.79281926153700[/C][/ROW]
[ROW][C]0.71[/C][C]118.714222722557[/C][C]1.93717782556048[/C][/ROW]
[ROW][C]0.72[/C][C]119.233866601800[/C][C]2.07238057463234[/C][/ROW]
[ROW][C]0.73[/C][C]119.787842479552[/C][C]2.17890883171313[/C][/ROW]
[ROW][C]0.74[/C][C]120.367542377931[/C][C]2.24081880878787[/C][/ROW]
[ROW][C]0.75[/C][C]120.961473710801[/C][C]2.24867160319582[/C][/ROW]
[ROW][C]0.76[/C][C]121.557719754573[/C][C]2.20498889542081[/C][/ROW]
[ROW][C]0.77[/C][C]122.147212101959[/C][C]2.12515808014761[/C][/ROW]
[ROW][C]0.78[/C][C]122.727278188361[/C][C]2.03775933846061[/C][/ROW]
[ROW][C]0.79[/C][C]123.304852680980[/C][C]1.98156499192638[/C][/ROW]
[ROW][C]0.8[/C][C]123.898805563669[/C][C]2.00190201228096[/C][/ROW]
[ROW][C]0.81[/C][C]124.540938423325[/C][C]2.14315166528501[/C][/ROW]
[ROW][C]0.82[/C][C]125.275234300846[/C][C]2.43911647142452[/C][/ROW]
[ROW][C]0.83[/C][C]126.154934349012[/C][C]2.90361778589361[/C][/ROW]
[ROW][C]0.84[/C][C]127.237150122175[/C][C]3.52531895435905[/C][/ROW]
[ROW][C]0.85[/C][C]128.575313296362[/C][C]4.26558214172318[/C][/ROW]
[ROW][C]0.86[/C][C]130.211018794490[/C][C]5.06172498003681[/C][/ROW]
[ROW][C]0.87[/C][C]132.168400533295[/C][C]5.83792569307772[/C][/ROW]
[ROW][C]0.88[/C][C]134.454739556461[/C][C]6.53112314169702[/C][/ROW]
[ROW][C]0.89[/C][C]137.068345487776[/C][C]7.11796183026664[/C][/ROW]
[ROW][C]0.9[/C][C]140.007719969641[/C][C]7.61847314617337[/C][/ROW]
[ROW][C]0.91[/C][C]143.267961962675[/C][C]8.04624767722452[/C][/ROW]
[ROW][C]0.92[/C][C]146.811164444813[/C][C]8.316715879521[/C][/ROW]
[ROW][C]0.93[/C][C]150.518773917751[/C][C]8.20691570969522[/C][/ROW]
[ROW][C]0.94[/C][C]154.173795353487[/C][C]7.4770392741665[/C][/ROW]
[ROW][C]0.95[/C][C]157.545180519038[/C][C]6.14834811682287[/C][/ROW]
[ROW][C]0.96[/C][C]160.603810210103[/C][C]4.74552538372288[/C][/ROW]
[ROW][C]0.97[/C][C]163.834599225093[/C][C]4.19862902074527[/C][/ROW]
[ROW][C]0.98[/C][C]168.643649801764[/C][C]5.48472182377768[/C][/ROW]
[ROW][C]0.99[/C][C]176.837393715834[/C][C]10.0909016868426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78190&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78190&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
0.0173.07678330286033.87312028839551
0.0277.02667976715355.23449327535066
0.0380.90419659130114.34016560077742
0.0483.74471179427233.14881008681166
0.0585.65838960394812.46372886209304
0.0687.03919726614022.22031759119505
0.0788.16767998210232.16604079511480
0.0889.1769163932282.16039019220389
0.0990.11822490355042.16812907032031
0.191.01106594885342.18029534099787
0.1191.8622779223322.17795767045627
0.1292.66993752215962.13664236898898
0.1393.42537784147922.04167558009506
0.1494.11782070220751.89770291985503
0.1594.74016007559331.72762973171495
0.1695.29304715271651.56428734334079
0.1795.78562770926741.438543788675
0.1896.23315248198241.36777068850139
0.1996.65302779689451.35250610291880
0.297.06115155846871.38066464551247
0.2197.46970021009021.43721512619419
0.2297.88650611134661.50857463519214
0.2398.31545132565321.58455921163865
0.2498.75718847120451.65585657176680
0.2599.20981679370921.71418849400951
0.2699.66952065216971.75284976439946
0.27100.1313434483471.76817957146514
0.28100.5901833821351.76197051585697
0.29101.0418962353221.74053442758604
0.3101.4842431163051.71380741107647
0.31101.9174149521951.69355736928656
0.32102.3439838205461.68943724250984
0.33102.7682987847921.70760877382784
0.34103.1954873434651.74878072792908
0.35103.6303056784561.80819629300256
0.36104.0760994954111.87725479738942
0.37104.5341050079811.94468231256127
0.38105.0032465829492.00002561812558
0.39105.4804796038822.03546885377999
0.4105.9615964261712.04810429112653
0.41106.4422876303572.04037270842294
0.42106.9191699415812.01949210854944
0.43107.3904913563881.99476323774005
0.44107.8563140586271.97551043896761
0.45108.3181333169031.96741909959033
0.46108.7780649216871.97091583519066
0.47109.2378661665421.98133877320267
0.48109.6981019539771.99055654917898
0.49110.1577144922821.98955996183005
0.5110.6141217261341.97130428336854
0.51111.0638006350411.93337889562565
0.52111.5031611345111.87745491939209
0.53111.9294315508861.81007877788832
0.54112.3412830578081.73965715953817
0.55112.7390143391611.67448341307017
0.56113.1242670678511.62047491349798
0.57113.4993973290941.57930854698589
0.58113.866736096511.54838460964338
0.59114.2279980090651.52300327739386
0.6114.5840360207801.49789409466293
0.61114.9350155049631.46999245311458
0.62115.2809419223561.43940463377941
0.63115.6223703398091.41036322566779
0.64115.9610842775521.38969438177327
0.65116.3005572968961.38586558063355
0.66116.6460780511561.40677131536253
0.67117.0044921162731.45826138820399
0.68117.3835668778531.54244284714709
0.69117.7910201432881.65668481114447
0.7118.2332933504371.79281926153700
0.71118.7142227225571.93717782556048
0.72119.2338666018002.07238057463234
0.73119.7878424795522.17890883171313
0.74120.3675423779312.24081880878787
0.75120.9614737108012.24867160319582
0.76121.5577197545732.20498889542081
0.77122.1472121019592.12515808014761
0.78122.7272781883612.03775933846061
0.79123.3048526809801.98156499192638
0.8123.8988055636692.00190201228096
0.81124.5409384233252.14315166528501
0.82125.2752343008462.43911647142452
0.83126.1549343490122.90361778589361
0.84127.2371501221753.52531895435905
0.85128.5753132963624.26558214172318
0.86130.2110187944905.06172498003681
0.87132.1684005332955.83792569307772
0.88134.4547395564616.53112314169702
0.89137.0683454877767.11796183026664
0.9140.0077199696417.61847314617337
0.91143.2679619626758.04624767722452
0.92146.8111644448138.316715879521
0.93150.5187739177518.20691570969522
0.94154.1737953534877.4770392741665
0.95157.5451805190386.14834811682287
0.96160.6038102101034.74552538372288
0.97163.8345992250934.19862902074527
0.98168.6436498017645.48472182377768
0.99176.83739371583410.0909016868426


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')