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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, 13 Oct 2010 16:16:54 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t1286986543hh2hvqjm4yjhg93.htm/, Retrieved Mon, 06 May 2024 13:02:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83148, Retrieved Mon, 06 May 2024 13:02:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
57,7
63,6
78
77,4
74,1
85,9
82
78,4
68,1
70,9
85,2
149,6
57,9
63,7
85
66,1
80,2
83,4
85,7
81,8
69,4
76,4
90,3
157,3
65,3
68,4
72,7
86,6
82,6
84,8
93,4
82,2
75,2
83,9
85,4
166,3
70,4
73,9
82,4
92,3
82,7
95,8
105,8
84,2
82,7
88,4
90,2
176,6
69,5
77,3
98,6
86,4
90,8
101,5
112,2
93,6
93,8
90,8
98,1
187,6
75
83,7
99,7
104,9
98,9
117,3
115,7
102,2
101,9
96,6
110
203,7
82,3
93,3
121,9
100,9
107,7
130
123,2
116,1
105,3
107,7
123,9
205,2
90,3
106,9
122,4
111,3
122,6
124,8
139,5
118,8
111
121,2
120,6
219,1
101,3
105
113,4
133,6
123,9
136,2
151,7
121,9
120,2
132,2
125,2
233,8

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83148&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83148&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83148&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.7041059880142.20119193663599
0.0260.73994368267323.11822735387165
0.0362.89021092070512.72273843577831
0.0464.64196563589662.32983201411555
0.0566.02139113712692.20523078869984
0.0667.17874912000122.14987841488535
0.0768.20622191708242.11284149409936
0.0869.15261166515582.13525993527426
0.0970.05477717584012.23012038672622
0.170.94090763520752.35979157201191
0.1171.82464467391752.47344373131805
0.1272.70521330330582.54182083694085
0.1373.57418978295262.56598515356254
0.1474.42338695690952.56671070626323
0.1575.24935361464222.56703478009365
0.1676.05338770610232.57876020017365
0.1776.83856356904152.59779950407604
0.1877.6061079458572.60768016100784
0.1978.35298020072272.58718915820498
0.279.07152421463442.51851727157121
0.2179.75111154588922.39458035543234
0.2280.38101965369162.22129167255481
0.2380.9534695973282.0173510326748
0.2481.46581488431041.80772640472152
0.2581.9212743595671.61909235089007
0.2682.32816921242071.47173948114385
0.2782.69812625179291.37640912108511
0.2883.04396256745331.33366277250976
0.2983.37791677471551.33652647938559
0.383.71061888964631.37587683626931
0.3184.05084430703191.44443265363041
0.3284.40581848920331.53837432753551
0.3384.78170906022151.65661528788048
0.3485.18397128359031.79843611321637
0.3585.61735776354891.96148324679854
0.3686.08559330615172.13949522023186
0.3786.59087943444922.32347634272354
0.3887.13347640869882.50228645107383
0.3987.7115912106462.6659611029607
0.488.3216912007992.80692503415644
0.4188.959208709812.92279067452123
0.4289.61945964100213.01616106106819
0.4390.29852015681023.09359068983347
0.4490.99381525726263.16353297160433
0.4591.70426409207693.2342573849836
0.4692.42996433429653.30996873170308
0.4793.17153477048683.39077557770217
0.4893.92932929206793.47230723348271
0.4994.70276205377253.54764357101061
0.595.4899402027653.6084612218609
0.5196.28770454969623.64864935876303
0.5297.09206013880553.66535046628766
0.5397.8988724749193.65967550407725
0.5498.70464093402473.63723452603381
0.5599.50715527964453.60617084280557
0.56100.3058924780583.57577182546583
0.57101.1020990031693.55451317722508
0.58101.898596572083.54889774019457
0.59102.6994146049733.56274714101444
0.6103.5093706928833.59787944961079
0.61104.333690754983.65426549394505
0.62105.1777018387033.73167068289427
0.63106.0465705325823.82868939617
0.64106.9450231662673.94270229895845
0.65107.8769816643934.06960003916969
0.66108.8450773969164.20281900221952
0.67109.85005179414.33292004872907
0.68110.8901036129024.44795243643911
0.69111.9602901459474.53394078573064
0.7113.0521284808394.57577968670313
0.71114.1535662608364.55942436267682
0.72115.2494867965354.47382909167975
0.73116.3228664501074.3136243676698
0.74117.3566073598484.08231640465051
0.75118.3359398488573.79295891605978
0.76119.2511611695223.46952087724865
0.77120.100391886723.14559808964092
0.78120.89201073942.86266133110285
0.79121.6464590142742.66851352196438
0.8122.3971472669812.61291356640044
0.81123.1902351177772.74026865145681
0.82124.0831474497733.07813439093263
0.83125.1419508023653.63152480669094
0.84126.4381721027964.3860897627438
0.85128.0460736210675.31769024616698
0.86130.0413659983676.40286836236186
0.87132.5016413090897.62329478305836
0.88135.5080237971978.96366913757052
0.89139.14779970734710.402673555123
0.9143.51912486633811.9162487618624
0.91148.73836438136313.4972419779111
0.92154.94334586889415.157111783706
0.93162.27162553221716.8498744400176
0.94170.78714368346718.3146541535854
0.95180.36874612677418.9734397484081
0.96190.68848448521518.1828644379713
0.97201.49167680132716.0736333938976
0.98213.03014279325814.1696682979737
0.99225.18457279669513.7821601715242

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.704105988014 & 2.20119193663599 \tabularnewline
0.02 & 60.7399436826732 & 3.11822735387165 \tabularnewline
0.03 & 62.8902109207051 & 2.72273843577831 \tabularnewline
0.04 & 64.6419656358966 & 2.32983201411555 \tabularnewline
0.05 & 66.0213911371269 & 2.20523078869984 \tabularnewline
0.06 & 67.1787491200012 & 2.14987841488535 \tabularnewline
0.07 & 68.2062219170824 & 2.11284149409936 \tabularnewline
0.08 & 69.1526116651558 & 2.13525993527426 \tabularnewline
0.09 & 70.0547771758401 & 2.23012038672622 \tabularnewline
0.1 & 70.9409076352075 & 2.35979157201191 \tabularnewline
0.11 & 71.8246446739175 & 2.47344373131805 \tabularnewline
0.12 & 72.7052133033058 & 2.54182083694085 \tabularnewline
0.13 & 73.5741897829526 & 2.56598515356254 \tabularnewline
0.14 & 74.4233869569095 & 2.56671070626323 \tabularnewline
0.15 & 75.2493536146422 & 2.56703478009365 \tabularnewline
0.16 & 76.0533877061023 & 2.57876020017365 \tabularnewline
0.17 & 76.8385635690415 & 2.59779950407604 \tabularnewline
0.18 & 77.606107945857 & 2.60768016100784 \tabularnewline
0.19 & 78.3529802007227 & 2.58718915820498 \tabularnewline
0.2 & 79.0715242146344 & 2.51851727157121 \tabularnewline
0.21 & 79.7511115458892 & 2.39458035543234 \tabularnewline
0.22 & 80.3810196536916 & 2.22129167255481 \tabularnewline
0.23 & 80.953469597328 & 2.0173510326748 \tabularnewline
0.24 & 81.4658148843104 & 1.80772640472152 \tabularnewline
0.25 & 81.921274359567 & 1.61909235089007 \tabularnewline
0.26 & 82.3281692124207 & 1.47173948114385 \tabularnewline
0.27 & 82.6981262517929 & 1.37640912108511 \tabularnewline
0.28 & 83.0439625674533 & 1.33366277250976 \tabularnewline
0.29 & 83.3779167747155 & 1.33652647938559 \tabularnewline
0.3 & 83.7106188896463 & 1.37587683626931 \tabularnewline
0.31 & 84.0508443070319 & 1.44443265363041 \tabularnewline
0.32 & 84.4058184892033 & 1.53837432753551 \tabularnewline
0.33 & 84.7817090602215 & 1.65661528788048 \tabularnewline
0.34 & 85.1839712835903 & 1.79843611321637 \tabularnewline
0.35 & 85.6173577635489 & 1.96148324679854 \tabularnewline
0.36 & 86.0855933061517 & 2.13949522023186 \tabularnewline
0.37 & 86.5908794344492 & 2.32347634272354 \tabularnewline
0.38 & 87.1334764086988 & 2.50228645107383 \tabularnewline
0.39 & 87.711591210646 & 2.6659611029607 \tabularnewline
0.4 & 88.321691200799 & 2.80692503415644 \tabularnewline
0.41 & 88.95920870981 & 2.92279067452123 \tabularnewline
0.42 & 89.6194596410021 & 3.01616106106819 \tabularnewline
0.43 & 90.2985201568102 & 3.09359068983347 \tabularnewline
0.44 & 90.9938152572626 & 3.16353297160433 \tabularnewline
0.45 & 91.7042640920769 & 3.2342573849836 \tabularnewline
0.46 & 92.4299643342965 & 3.30996873170308 \tabularnewline
0.47 & 93.1715347704868 & 3.39077557770217 \tabularnewline
0.48 & 93.9293292920679 & 3.47230723348271 \tabularnewline
0.49 & 94.7027620537725 & 3.54764357101061 \tabularnewline
0.5 & 95.489940202765 & 3.6084612218609 \tabularnewline
0.51 & 96.2877045496962 & 3.64864935876303 \tabularnewline
0.52 & 97.0920601388055 & 3.66535046628766 \tabularnewline
0.53 & 97.898872474919 & 3.65967550407725 \tabularnewline
0.54 & 98.7046409340247 & 3.63723452603381 \tabularnewline
0.55 & 99.5071552796445 & 3.60617084280557 \tabularnewline
0.56 & 100.305892478058 & 3.57577182546583 \tabularnewline
0.57 & 101.102099003169 & 3.55451317722508 \tabularnewline
0.58 & 101.89859657208 & 3.54889774019457 \tabularnewline
0.59 & 102.699414604973 & 3.56274714101444 \tabularnewline
0.6 & 103.509370692883 & 3.59787944961079 \tabularnewline
0.61 & 104.33369075498 & 3.65426549394505 \tabularnewline
0.62 & 105.177701838703 & 3.73167068289427 \tabularnewline
0.63 & 106.046570532582 & 3.82868939617 \tabularnewline
0.64 & 106.945023166267 & 3.94270229895845 \tabularnewline
0.65 & 107.876981664393 & 4.06960003916969 \tabularnewline
0.66 & 108.845077396916 & 4.20281900221952 \tabularnewline
0.67 & 109.8500517941 & 4.33292004872907 \tabularnewline
0.68 & 110.890103612902 & 4.44795243643911 \tabularnewline
0.69 & 111.960290145947 & 4.53394078573064 \tabularnewline
0.7 & 113.052128480839 & 4.57577968670313 \tabularnewline
0.71 & 114.153566260836 & 4.55942436267682 \tabularnewline
0.72 & 115.249486796535 & 4.47382909167975 \tabularnewline
0.73 & 116.322866450107 & 4.3136243676698 \tabularnewline
0.74 & 117.356607359848 & 4.08231640465051 \tabularnewline
0.75 & 118.335939848857 & 3.79295891605978 \tabularnewline
0.76 & 119.251161169522 & 3.46952087724865 \tabularnewline
0.77 & 120.10039188672 & 3.14559808964092 \tabularnewline
0.78 & 120.8920107394 & 2.86266133110285 \tabularnewline
0.79 & 121.646459014274 & 2.66851352196438 \tabularnewline
0.8 & 122.397147266981 & 2.61291356640044 \tabularnewline
0.81 & 123.190235117777 & 2.74026865145681 \tabularnewline
0.82 & 124.083147449773 & 3.07813439093263 \tabularnewline
0.83 & 125.141950802365 & 3.63152480669094 \tabularnewline
0.84 & 126.438172102796 & 4.3860897627438 \tabularnewline
0.85 & 128.046073621067 & 5.31769024616698 \tabularnewline
0.86 & 130.041365998367 & 6.40286836236186 \tabularnewline
0.87 & 132.501641309089 & 7.62329478305836 \tabularnewline
0.88 & 135.508023797197 & 8.96366913757052 \tabularnewline
0.89 & 139.147799707347 & 10.402673555123 \tabularnewline
0.9 & 143.519124866338 & 11.9162487618624 \tabularnewline
0.91 & 148.738364381363 & 13.4972419779111 \tabularnewline
0.92 & 154.943345868894 & 15.157111783706 \tabularnewline
0.93 & 162.271625532217 & 16.8498744400176 \tabularnewline
0.94 & 170.787143683467 & 18.3146541535854 \tabularnewline
0.95 & 180.368746126774 & 18.9734397484081 \tabularnewline
0.96 & 190.688484485215 & 18.1828644379713 \tabularnewline
0.97 & 201.491676801327 & 16.0736333938976 \tabularnewline
0.98 & 213.030142793258 & 14.1696682979737 \tabularnewline
0.99 & 225.184572796695 & 13.7821601715242 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83148&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]58.704105988014[/C][C]2.20119193663599[/C][/ROW]
[ROW][C]0.02[/C][C]60.7399436826732[/C][C]3.11822735387165[/C][/ROW]
[ROW][C]0.03[/C][C]62.8902109207051[/C][C]2.72273843577831[/C][/ROW]
[ROW][C]0.04[/C][C]64.6419656358966[/C][C]2.32983201411555[/C][/ROW]
[ROW][C]0.05[/C][C]66.0213911371269[/C][C]2.20523078869984[/C][/ROW]
[ROW][C]0.06[/C][C]67.1787491200012[/C][C]2.14987841488535[/C][/ROW]
[ROW][C]0.07[/C][C]68.2062219170824[/C][C]2.11284149409936[/C][/ROW]
[ROW][C]0.08[/C][C]69.1526116651558[/C][C]2.13525993527426[/C][/ROW]
[ROW][C]0.09[/C][C]70.0547771758401[/C][C]2.23012038672622[/C][/ROW]
[ROW][C]0.1[/C][C]70.9409076352075[/C][C]2.35979157201191[/C][/ROW]
[ROW][C]0.11[/C][C]71.8246446739175[/C][C]2.47344373131805[/C][/ROW]
[ROW][C]0.12[/C][C]72.7052133033058[/C][C]2.54182083694085[/C][/ROW]
[ROW][C]0.13[/C][C]73.5741897829526[/C][C]2.56598515356254[/C][/ROW]
[ROW][C]0.14[/C][C]74.4233869569095[/C][C]2.56671070626323[/C][/ROW]
[ROW][C]0.15[/C][C]75.2493536146422[/C][C]2.56703478009365[/C][/ROW]
[ROW][C]0.16[/C][C]76.0533877061023[/C][C]2.57876020017365[/C][/ROW]
[ROW][C]0.17[/C][C]76.8385635690415[/C][C]2.59779950407604[/C][/ROW]
[ROW][C]0.18[/C][C]77.606107945857[/C][C]2.60768016100784[/C][/ROW]
[ROW][C]0.19[/C][C]78.3529802007227[/C][C]2.58718915820498[/C][/ROW]
[ROW][C]0.2[/C][C]79.0715242146344[/C][C]2.51851727157121[/C][/ROW]
[ROW][C]0.21[/C][C]79.7511115458892[/C][C]2.39458035543234[/C][/ROW]
[ROW][C]0.22[/C][C]80.3810196536916[/C][C]2.22129167255481[/C][/ROW]
[ROW][C]0.23[/C][C]80.953469597328[/C][C]2.0173510326748[/C][/ROW]
[ROW][C]0.24[/C][C]81.4658148843104[/C][C]1.80772640472152[/C][/ROW]
[ROW][C]0.25[/C][C]81.921274359567[/C][C]1.61909235089007[/C][/ROW]
[ROW][C]0.26[/C][C]82.3281692124207[/C][C]1.47173948114385[/C][/ROW]
[ROW][C]0.27[/C][C]82.6981262517929[/C][C]1.37640912108511[/C][/ROW]
[ROW][C]0.28[/C][C]83.0439625674533[/C][C]1.33366277250976[/C][/ROW]
[ROW][C]0.29[/C][C]83.3779167747155[/C][C]1.33652647938559[/C][/ROW]
[ROW][C]0.3[/C][C]83.7106188896463[/C][C]1.37587683626931[/C][/ROW]
[ROW][C]0.31[/C][C]84.0508443070319[/C][C]1.44443265363041[/C][/ROW]
[ROW][C]0.32[/C][C]84.4058184892033[/C][C]1.53837432753551[/C][/ROW]
[ROW][C]0.33[/C][C]84.7817090602215[/C][C]1.65661528788048[/C][/ROW]
[ROW][C]0.34[/C][C]85.1839712835903[/C][C]1.79843611321637[/C][/ROW]
[ROW][C]0.35[/C][C]85.6173577635489[/C][C]1.96148324679854[/C][/ROW]
[ROW][C]0.36[/C][C]86.0855933061517[/C][C]2.13949522023186[/C][/ROW]
[ROW][C]0.37[/C][C]86.5908794344492[/C][C]2.32347634272354[/C][/ROW]
[ROW][C]0.38[/C][C]87.1334764086988[/C][C]2.50228645107383[/C][/ROW]
[ROW][C]0.39[/C][C]87.711591210646[/C][C]2.6659611029607[/C][/ROW]
[ROW][C]0.4[/C][C]88.321691200799[/C][C]2.80692503415644[/C][/ROW]
[ROW][C]0.41[/C][C]88.95920870981[/C][C]2.92279067452123[/C][/ROW]
[ROW][C]0.42[/C][C]89.6194596410021[/C][C]3.01616106106819[/C][/ROW]
[ROW][C]0.43[/C][C]90.2985201568102[/C][C]3.09359068983347[/C][/ROW]
[ROW][C]0.44[/C][C]90.9938152572626[/C][C]3.16353297160433[/C][/ROW]
[ROW][C]0.45[/C][C]91.7042640920769[/C][C]3.2342573849836[/C][/ROW]
[ROW][C]0.46[/C][C]92.4299643342965[/C][C]3.30996873170308[/C][/ROW]
[ROW][C]0.47[/C][C]93.1715347704868[/C][C]3.39077557770217[/C][/ROW]
[ROW][C]0.48[/C][C]93.9293292920679[/C][C]3.47230723348271[/C][/ROW]
[ROW][C]0.49[/C][C]94.7027620537725[/C][C]3.54764357101061[/C][/ROW]
[ROW][C]0.5[/C][C]95.489940202765[/C][C]3.6084612218609[/C][/ROW]
[ROW][C]0.51[/C][C]96.2877045496962[/C][C]3.64864935876303[/C][/ROW]
[ROW][C]0.52[/C][C]97.0920601388055[/C][C]3.66535046628766[/C][/ROW]
[ROW][C]0.53[/C][C]97.898872474919[/C][C]3.65967550407725[/C][/ROW]
[ROW][C]0.54[/C][C]98.7046409340247[/C][C]3.63723452603381[/C][/ROW]
[ROW][C]0.55[/C][C]99.5071552796445[/C][C]3.60617084280557[/C][/ROW]
[ROW][C]0.56[/C][C]100.305892478058[/C][C]3.57577182546583[/C][/ROW]
[ROW][C]0.57[/C][C]101.102099003169[/C][C]3.55451317722508[/C][/ROW]
[ROW][C]0.58[/C][C]101.89859657208[/C][C]3.54889774019457[/C][/ROW]
[ROW][C]0.59[/C][C]102.699414604973[/C][C]3.56274714101444[/C][/ROW]
[ROW][C]0.6[/C][C]103.509370692883[/C][C]3.59787944961079[/C][/ROW]
[ROW][C]0.61[/C][C]104.33369075498[/C][C]3.65426549394505[/C][/ROW]
[ROW][C]0.62[/C][C]105.177701838703[/C][C]3.73167068289427[/C][/ROW]
[ROW][C]0.63[/C][C]106.046570532582[/C][C]3.82868939617[/C][/ROW]
[ROW][C]0.64[/C][C]106.945023166267[/C][C]3.94270229895845[/C][/ROW]
[ROW][C]0.65[/C][C]107.876981664393[/C][C]4.06960003916969[/C][/ROW]
[ROW][C]0.66[/C][C]108.845077396916[/C][C]4.20281900221952[/C][/ROW]
[ROW][C]0.67[/C][C]109.8500517941[/C][C]4.33292004872907[/C][/ROW]
[ROW][C]0.68[/C][C]110.890103612902[/C][C]4.44795243643911[/C][/ROW]
[ROW][C]0.69[/C][C]111.960290145947[/C][C]4.53394078573064[/C][/ROW]
[ROW][C]0.7[/C][C]113.052128480839[/C][C]4.57577968670313[/C][/ROW]
[ROW][C]0.71[/C][C]114.153566260836[/C][C]4.55942436267682[/C][/ROW]
[ROW][C]0.72[/C][C]115.249486796535[/C][C]4.47382909167975[/C][/ROW]
[ROW][C]0.73[/C][C]116.322866450107[/C][C]4.3136243676698[/C][/ROW]
[ROW][C]0.74[/C][C]117.356607359848[/C][C]4.08231640465051[/C][/ROW]
[ROW][C]0.75[/C][C]118.335939848857[/C][C]3.79295891605978[/C][/ROW]
[ROW][C]0.76[/C][C]119.251161169522[/C][C]3.46952087724865[/C][/ROW]
[ROW][C]0.77[/C][C]120.10039188672[/C][C]3.14559808964092[/C][/ROW]
[ROW][C]0.78[/C][C]120.8920107394[/C][C]2.86266133110285[/C][/ROW]
[ROW][C]0.79[/C][C]121.646459014274[/C][C]2.66851352196438[/C][/ROW]
[ROW][C]0.8[/C][C]122.397147266981[/C][C]2.61291356640044[/C][/ROW]
[ROW][C]0.81[/C][C]123.190235117777[/C][C]2.74026865145681[/C][/ROW]
[ROW][C]0.82[/C][C]124.083147449773[/C][C]3.07813439093263[/C][/ROW]
[ROW][C]0.83[/C][C]125.141950802365[/C][C]3.63152480669094[/C][/ROW]
[ROW][C]0.84[/C][C]126.438172102796[/C][C]4.3860897627438[/C][/ROW]
[ROW][C]0.85[/C][C]128.046073621067[/C][C]5.31769024616698[/C][/ROW]
[ROW][C]0.86[/C][C]130.041365998367[/C][C]6.40286836236186[/C][/ROW]
[ROW][C]0.87[/C][C]132.501641309089[/C][C]7.62329478305836[/C][/ROW]
[ROW][C]0.88[/C][C]135.508023797197[/C][C]8.96366913757052[/C][/ROW]
[ROW][C]0.89[/C][C]139.147799707347[/C][C]10.402673555123[/C][/ROW]
[ROW][C]0.9[/C][C]143.519124866338[/C][C]11.9162487618624[/C][/ROW]
[ROW][C]0.91[/C][C]148.738364381363[/C][C]13.4972419779111[/C][/ROW]
[ROW][C]0.92[/C][C]154.943345868894[/C][C]15.157111783706[/C][/ROW]
[ROW][C]0.93[/C][C]162.271625532217[/C][C]16.8498744400176[/C][/ROW]
[ROW][C]0.94[/C][C]170.787143683467[/C][C]18.3146541535854[/C][/ROW]
[ROW][C]0.95[/C][C]180.368746126774[/C][C]18.9734397484081[/C][/ROW]
[ROW][C]0.96[/C][C]190.688484485215[/C][C]18.1828644379713[/C][/ROW]
[ROW][C]0.97[/C][C]201.491676801327[/C][C]16.0736333938976[/C][/ROW]
[ROW][C]0.98[/C][C]213.030142793258[/C][C]14.1696682979737[/C][/ROW]
[ROW][C]0.99[/C][C]225.184572796695[/C][C]13.7821601715242[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83148&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83148&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
0.0158.7041059880142.20119193663599
0.0260.73994368267323.11822735387165
0.0362.89021092070512.72273843577831
0.0464.64196563589662.32983201411555
0.0566.02139113712692.20523078869984
0.0667.17874912000122.14987841488535
0.0768.20622191708242.11284149409936
0.0869.15261166515582.13525993527426
0.0970.05477717584012.23012038672622
0.170.94090763520752.35979157201191
0.1171.82464467391752.47344373131805
0.1272.70521330330582.54182083694085
0.1373.57418978295262.56598515356254
0.1474.42338695690952.56671070626323
0.1575.24935361464222.56703478009365
0.1676.05338770610232.57876020017365
0.1776.83856356904152.59779950407604
0.1877.6061079458572.60768016100784
0.1978.35298020072272.58718915820498
0.279.07152421463442.51851727157121
0.2179.75111154588922.39458035543234
0.2280.38101965369162.22129167255481
0.2380.9534695973282.0173510326748
0.2481.46581488431041.80772640472152
0.2581.9212743595671.61909235089007
0.2682.32816921242071.47173948114385
0.2782.69812625179291.37640912108511
0.2883.04396256745331.33366277250976
0.2983.37791677471551.33652647938559
0.383.71061888964631.37587683626931
0.3184.05084430703191.44443265363041
0.3284.40581848920331.53837432753551
0.3384.78170906022151.65661528788048
0.3485.18397128359031.79843611321637
0.3585.61735776354891.96148324679854
0.3686.08559330615172.13949522023186
0.3786.59087943444922.32347634272354
0.3887.13347640869882.50228645107383
0.3987.7115912106462.6659611029607
0.488.3216912007992.80692503415644
0.4188.959208709812.92279067452123
0.4289.61945964100213.01616106106819
0.4390.29852015681023.09359068983347
0.4490.99381525726263.16353297160433
0.4591.70426409207693.2342573849836
0.4692.42996433429653.30996873170308
0.4793.17153477048683.39077557770217
0.4893.92932929206793.47230723348271
0.4994.70276205377253.54764357101061
0.595.4899402027653.6084612218609
0.5196.28770454969623.64864935876303
0.5297.09206013880553.66535046628766
0.5397.8988724749193.65967550407725
0.5498.70464093402473.63723452603381
0.5599.50715527964453.60617084280557
0.56100.3058924780583.57577182546583
0.57101.1020990031693.55451317722508
0.58101.898596572083.54889774019457
0.59102.6994146049733.56274714101444
0.6103.5093706928833.59787944961079
0.61104.333690754983.65426549394505
0.62105.1777018387033.73167068289427
0.63106.0465705325823.82868939617
0.64106.9450231662673.94270229895845
0.65107.8769816643934.06960003916969
0.66108.8450773969164.20281900221952
0.67109.85005179414.33292004872907
0.68110.8901036129024.44795243643911
0.69111.9602901459474.53394078573064
0.7113.0521284808394.57577968670313
0.71114.1535662608364.55942436267682
0.72115.2494867965354.47382909167975
0.73116.3228664501074.3136243676698
0.74117.3566073598484.08231640465051
0.75118.3359398488573.79295891605978
0.76119.2511611695223.46952087724865
0.77120.100391886723.14559808964092
0.78120.89201073942.86266133110285
0.79121.6464590142742.66851352196438
0.8122.3971472669812.61291356640044
0.81123.1902351177772.74026865145681
0.82124.0831474497733.07813439093263
0.83125.1419508023653.63152480669094
0.84126.4381721027964.3860897627438
0.85128.0460736210675.31769024616698
0.86130.0413659983676.40286836236186
0.87132.5016413090897.62329478305836
0.88135.5080237971978.96366913757052
0.89139.14779970734710.402673555123
0.9143.51912486633811.9162487618624
0.91148.73836438136313.4972419779111
0.92154.94334586889415.157111783706
0.93162.27162553221716.8498744400176
0.94170.78714368346718.3146541535854
0.95180.36874612677418.9734397484081
0.96190.68848448521518.1828644379713
0.97201.49167680132716.0736333938976
0.98213.03014279325814.1696682979737
0.99225.18457279669513.7821601715242


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')