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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 24 Nov 2007 09:03:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/24/t1195919697iydsty03gdhxbp7.htm/, Retrieved Fri, 03 May 2024 05:57:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6349, Retrieved Fri, 03 May 2024 05:57:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper
Estimated Impact193

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] [paper - harrell d...] [2007-11-24 16:03:10] [bc6f4b3171ef71e45fe1433a63d1da08] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
140
132
117
114
113
110
107
103
98
98
137
148
147
139
130
128
127
123
118
114
108
111
151
159
158
148
138
137
136
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6349&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6349&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.7874976899312.13776200805646
0.0295.07616620060462.42397459172104
0.0396.54005514107642.6951721625762
0.0498.00789579396392.96334322959378
0.0599.43779262332063.23698942497517
0.06100.8305373992393.45504629119585
0.07102.1834865522453.57046772620208
0.08103.4826927789963.57991747555128
0.09104.7096741306553.50101913455921
0.1105.8481732321853.35146424351317
0.11106.8870422637603.14521140340538
0.12107.8205944947432.89675511899117
0.13108.6482886523872.62481931317223
0.14109.3744276794212.35147008773207
0.15110.0076781891932.09822189911741
0.16110.5601141680211.88261433236201
0.17111.0457944324541.71461346416099
0.18111.4791713361401.59580212122894
0.19111.8737087099961.52080430153328
0.2112.2409782955191.48070596705836
0.21112.5903121678781.46670013250547
0.22112.9289169697221.47217990881738
0.23113.2622629653841.49307751241466
0.24113.5945560635861.52720760319919
0.25113.9291577173831.57336900032186
0.26114.2688954628571.63064151920919
0.27114.6162700899721.69811611328663
0.28114.9735946754311.7750650545954
0.29115.3430955417721.86186455020336
0.3115.7269795960131.95922052010536
0.31116.1274462136972.06865375640926
0.32116.5466115519002.19044442189080
0.33116.9863262104802.32348572027404
0.34117.4478994954892.46391339179878
0.35117.9317823129892.60522109603806
0.36118.4372898390042.73911289204880
0.37118.9624516636002.85644144228748
0.38119.5040562328242.94946597882386
0.39120.0579129450523.01311453694473
0.4120.6193018081733.04538932150371
0.41121.1835329786833.04879460538077
0.42121.7465105091033.02928973633541
0.43122.3051935650072.99517543523091
0.44122.85787335672.95602422706332
0.45123.4042269169092.92057837881156
0.46123.9451573375512.89564307351151
0.47124.4824716738202.88522918605637
0.48125.0184732647282.89018638651697
0.49125.5555508497902.90865458528641
0.5126.0958341985332.93716947460035
0.51126.6409607355592.97128996155100
0.52127.1919674886723.00714738366682
0.53127.7492950027053.04092038243175
0.54128.3128701829893.07078574421595
0.55128.8822262793583.09479826784891
0.56129.4566206899673.11239533525431
0.57130.0351230994233.12364166840809
0.58130.6166643191593.12782355220439
0.59131.2000558738213.12454222362035
0.6131.7840074134503.1133553081393
0.61132.3671792577253.09316829307720
0.62132.9483075110563.06390260102975
0.63133.5264274560203.02677022271834
0.64134.1011976668262.98473603175913
0.65134.6732953136642.94326059206658
0.66135.2448178526302.91084001019200
0.67135.8195953069932.89781582155145
0.68136.4032995326302.91597725471209
0.69137.003240944642.97525940193966
0.7137.6277756883333.08210864163156
0.71138.2853090249203.23499854209608
0.72138.9829684814223.42420152999895
0.73139.7251190172283.63138619171758
0.74140.5119797049063.83072231590634
0.75141.3386502542113.99281991972943
0.76142.1948418956634.09005260646416
0.77143.0655185933174.09966463504816
0.78143.932499412564.00980535241334
0.79144.7768817628363.82143560361829
0.8145.5819643733453.55014816948239
0.81146.3362242383803.22438169590571
0.82147.0358600956992.88293367350822
0.83147.6864510731442.57017934971415
0.84148.3033596590452.33210463811278
0.85148.9105963271712.20887223462599
0.86149.5379570238362.22394397508050
0.87150.2164077660912.37143080793134
0.88150.9720415896352.61290369798543
0.89151.8195656105962.88453920132773
0.9152.7571108495373.10947290438445
0.91153.7648002144663.2148874376627
0.92154.8092594357823.15381145774779
0.93155.8544133193292.92774227633187
0.94156.8754000593472.59624497011091
0.95157.8684680582352.26015931380877
0.96158.8478539975592.00447669846802
0.97159.8234743243151.81359047166355
0.98160.7615751655461.56680516181081
0.99161.5467276104911.22277501848541

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.787497689931 & 2.13776200805646 \tabularnewline
0.02 & 95.0761662006046 & 2.42397459172104 \tabularnewline
0.03 & 96.5400551410764 & 2.6951721625762 \tabularnewline
0.04 & 98.0078957939639 & 2.96334322959378 \tabularnewline
0.05 & 99.4377926233206 & 3.23698942497517 \tabularnewline
0.06 & 100.830537399239 & 3.45504629119585 \tabularnewline
0.07 & 102.183486552245 & 3.57046772620208 \tabularnewline
0.08 & 103.482692778996 & 3.57991747555128 \tabularnewline
0.09 & 104.709674130655 & 3.50101913455921 \tabularnewline
0.1 & 105.848173232185 & 3.35146424351317 \tabularnewline
0.11 & 106.887042263760 & 3.14521140340538 \tabularnewline
0.12 & 107.820594494743 & 2.89675511899117 \tabularnewline
0.13 & 108.648288652387 & 2.62481931317223 \tabularnewline
0.14 & 109.374427679421 & 2.35147008773207 \tabularnewline
0.15 & 110.007678189193 & 2.09822189911741 \tabularnewline
0.16 & 110.560114168021 & 1.88261433236201 \tabularnewline
0.17 & 111.045794432454 & 1.71461346416099 \tabularnewline
0.18 & 111.479171336140 & 1.59580212122894 \tabularnewline
0.19 & 111.873708709996 & 1.52080430153328 \tabularnewline
0.2 & 112.240978295519 & 1.48070596705836 \tabularnewline
0.21 & 112.590312167878 & 1.46670013250547 \tabularnewline
0.22 & 112.928916969722 & 1.47217990881738 \tabularnewline
0.23 & 113.262262965384 & 1.49307751241466 \tabularnewline
0.24 & 113.594556063586 & 1.52720760319919 \tabularnewline
0.25 & 113.929157717383 & 1.57336900032186 \tabularnewline
0.26 & 114.268895462857 & 1.63064151920919 \tabularnewline
0.27 & 114.616270089972 & 1.69811611328663 \tabularnewline
0.28 & 114.973594675431 & 1.7750650545954 \tabularnewline
0.29 & 115.343095541772 & 1.86186455020336 \tabularnewline
0.3 & 115.726979596013 & 1.95922052010536 \tabularnewline
0.31 & 116.127446213697 & 2.06865375640926 \tabularnewline
0.32 & 116.546611551900 & 2.19044442189080 \tabularnewline
0.33 & 116.986326210480 & 2.32348572027404 \tabularnewline
0.34 & 117.447899495489 & 2.46391339179878 \tabularnewline
0.35 & 117.931782312989 & 2.60522109603806 \tabularnewline
0.36 & 118.437289839004 & 2.73911289204880 \tabularnewline
0.37 & 118.962451663600 & 2.85644144228748 \tabularnewline
0.38 & 119.504056232824 & 2.94946597882386 \tabularnewline
0.39 & 120.057912945052 & 3.01311453694473 \tabularnewline
0.4 & 120.619301808173 & 3.04538932150371 \tabularnewline
0.41 & 121.183532978683 & 3.04879460538077 \tabularnewline
0.42 & 121.746510509103 & 3.02928973633541 \tabularnewline
0.43 & 122.305193565007 & 2.99517543523091 \tabularnewline
0.44 & 122.8578733567 & 2.95602422706332 \tabularnewline
0.45 & 123.404226916909 & 2.92057837881156 \tabularnewline
0.46 & 123.945157337551 & 2.89564307351151 \tabularnewline
0.47 & 124.482471673820 & 2.88522918605637 \tabularnewline
0.48 & 125.018473264728 & 2.89018638651697 \tabularnewline
0.49 & 125.555550849790 & 2.90865458528641 \tabularnewline
0.5 & 126.095834198533 & 2.93716947460035 \tabularnewline
0.51 & 126.640960735559 & 2.97128996155100 \tabularnewline
0.52 & 127.191967488672 & 3.00714738366682 \tabularnewline
0.53 & 127.749295002705 & 3.04092038243175 \tabularnewline
0.54 & 128.312870182989 & 3.07078574421595 \tabularnewline
0.55 & 128.882226279358 & 3.09479826784891 \tabularnewline
0.56 & 129.456620689967 & 3.11239533525431 \tabularnewline
0.57 & 130.035123099423 & 3.12364166840809 \tabularnewline
0.58 & 130.616664319159 & 3.12782355220439 \tabularnewline
0.59 & 131.200055873821 & 3.12454222362035 \tabularnewline
0.6 & 131.784007413450 & 3.1133553081393 \tabularnewline
0.61 & 132.367179257725 & 3.09316829307720 \tabularnewline
0.62 & 132.948307511056 & 3.06390260102975 \tabularnewline
0.63 & 133.526427456020 & 3.02677022271834 \tabularnewline
0.64 & 134.101197666826 & 2.98473603175913 \tabularnewline
0.65 & 134.673295313664 & 2.94326059206658 \tabularnewline
0.66 & 135.244817852630 & 2.91084001019200 \tabularnewline
0.67 & 135.819595306993 & 2.89781582155145 \tabularnewline
0.68 & 136.403299532630 & 2.91597725471209 \tabularnewline
0.69 & 137.00324094464 & 2.97525940193966 \tabularnewline
0.7 & 137.627775688333 & 3.08210864163156 \tabularnewline
0.71 & 138.285309024920 & 3.23499854209608 \tabularnewline
0.72 & 138.982968481422 & 3.42420152999895 \tabularnewline
0.73 & 139.725119017228 & 3.63138619171758 \tabularnewline
0.74 & 140.511979704906 & 3.83072231590634 \tabularnewline
0.75 & 141.338650254211 & 3.99281991972943 \tabularnewline
0.76 & 142.194841895663 & 4.09005260646416 \tabularnewline
0.77 & 143.065518593317 & 4.09966463504816 \tabularnewline
0.78 & 143.93249941256 & 4.00980535241334 \tabularnewline
0.79 & 144.776881762836 & 3.82143560361829 \tabularnewline
0.8 & 145.581964373345 & 3.55014816948239 \tabularnewline
0.81 & 146.336224238380 & 3.22438169590571 \tabularnewline
0.82 & 147.035860095699 & 2.88293367350822 \tabularnewline
0.83 & 147.686451073144 & 2.57017934971415 \tabularnewline
0.84 & 148.303359659045 & 2.33210463811278 \tabularnewline
0.85 & 148.910596327171 & 2.20887223462599 \tabularnewline
0.86 & 149.537957023836 & 2.22394397508050 \tabularnewline
0.87 & 150.216407766091 & 2.37143080793134 \tabularnewline
0.88 & 150.972041589635 & 2.61290369798543 \tabularnewline
0.89 & 151.819565610596 & 2.88453920132773 \tabularnewline
0.9 & 152.757110849537 & 3.10947290438445 \tabularnewline
0.91 & 153.764800214466 & 3.2148874376627 \tabularnewline
0.92 & 154.809259435782 & 3.15381145774779 \tabularnewline
0.93 & 155.854413319329 & 2.92774227633187 \tabularnewline
0.94 & 156.875400059347 & 2.59624497011091 \tabularnewline
0.95 & 157.868468058235 & 2.26015931380877 \tabularnewline
0.96 & 158.847853997559 & 2.00447669846802 \tabularnewline
0.97 & 159.823474324315 & 1.81359047166355 \tabularnewline
0.98 & 160.761575165546 & 1.56680516181081 \tabularnewline
0.99 & 161.546727610491 & 1.22277501848541 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6349&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]93.787497689931[/C][C]2.13776200805646[/C][/ROW]
[ROW][C]0.02[/C][C]95.0761662006046[/C][C]2.42397459172104[/C][/ROW]
[ROW][C]0.03[/C][C]96.5400551410764[/C][C]2.6951721625762[/C][/ROW]
[ROW][C]0.04[/C][C]98.0078957939639[/C][C]2.96334322959378[/C][/ROW]
[ROW][C]0.05[/C][C]99.4377926233206[/C][C]3.23698942497517[/C][/ROW]
[ROW][C]0.06[/C][C]100.830537399239[/C][C]3.45504629119585[/C][/ROW]
[ROW][C]0.07[/C][C]102.183486552245[/C][C]3.57046772620208[/C][/ROW]
[ROW][C]0.08[/C][C]103.482692778996[/C][C]3.57991747555128[/C][/ROW]
[ROW][C]0.09[/C][C]104.709674130655[/C][C]3.50101913455921[/C][/ROW]
[ROW][C]0.1[/C][C]105.848173232185[/C][C]3.35146424351317[/C][/ROW]
[ROW][C]0.11[/C][C]106.887042263760[/C][C]3.14521140340538[/C][/ROW]
[ROW][C]0.12[/C][C]107.820594494743[/C][C]2.89675511899117[/C][/ROW]
[ROW][C]0.13[/C][C]108.648288652387[/C][C]2.62481931317223[/C][/ROW]
[ROW][C]0.14[/C][C]109.374427679421[/C][C]2.35147008773207[/C][/ROW]
[ROW][C]0.15[/C][C]110.007678189193[/C][C]2.09822189911741[/C][/ROW]
[ROW][C]0.16[/C][C]110.560114168021[/C][C]1.88261433236201[/C][/ROW]
[ROW][C]0.17[/C][C]111.045794432454[/C][C]1.71461346416099[/C][/ROW]
[ROW][C]0.18[/C][C]111.479171336140[/C][C]1.59580212122894[/C][/ROW]
[ROW][C]0.19[/C][C]111.873708709996[/C][C]1.52080430153328[/C][/ROW]
[ROW][C]0.2[/C][C]112.240978295519[/C][C]1.48070596705836[/C][/ROW]
[ROW][C]0.21[/C][C]112.590312167878[/C][C]1.46670013250547[/C][/ROW]
[ROW][C]0.22[/C][C]112.928916969722[/C][C]1.47217990881738[/C][/ROW]
[ROW][C]0.23[/C][C]113.262262965384[/C][C]1.49307751241466[/C][/ROW]
[ROW][C]0.24[/C][C]113.594556063586[/C][C]1.52720760319919[/C][/ROW]
[ROW][C]0.25[/C][C]113.929157717383[/C][C]1.57336900032186[/C][/ROW]
[ROW][C]0.26[/C][C]114.268895462857[/C][C]1.63064151920919[/C][/ROW]
[ROW][C]0.27[/C][C]114.616270089972[/C][C]1.69811611328663[/C][/ROW]
[ROW][C]0.28[/C][C]114.973594675431[/C][C]1.7750650545954[/C][/ROW]
[ROW][C]0.29[/C][C]115.343095541772[/C][C]1.86186455020336[/C][/ROW]
[ROW][C]0.3[/C][C]115.726979596013[/C][C]1.95922052010536[/C][/ROW]
[ROW][C]0.31[/C][C]116.127446213697[/C][C]2.06865375640926[/C][/ROW]
[ROW][C]0.32[/C][C]116.546611551900[/C][C]2.19044442189080[/C][/ROW]
[ROW][C]0.33[/C][C]116.986326210480[/C][C]2.32348572027404[/C][/ROW]
[ROW][C]0.34[/C][C]117.447899495489[/C][C]2.46391339179878[/C][/ROW]
[ROW][C]0.35[/C][C]117.931782312989[/C][C]2.60522109603806[/C][/ROW]
[ROW][C]0.36[/C][C]118.437289839004[/C][C]2.73911289204880[/C][/ROW]
[ROW][C]0.37[/C][C]118.962451663600[/C][C]2.85644144228748[/C][/ROW]
[ROW][C]0.38[/C][C]119.504056232824[/C][C]2.94946597882386[/C][/ROW]
[ROW][C]0.39[/C][C]120.057912945052[/C][C]3.01311453694473[/C][/ROW]
[ROW][C]0.4[/C][C]120.619301808173[/C][C]3.04538932150371[/C][/ROW]
[ROW][C]0.41[/C][C]121.183532978683[/C][C]3.04879460538077[/C][/ROW]
[ROW][C]0.42[/C][C]121.746510509103[/C][C]3.02928973633541[/C][/ROW]
[ROW][C]0.43[/C][C]122.305193565007[/C][C]2.99517543523091[/C][/ROW]
[ROW][C]0.44[/C][C]122.8578733567[/C][C]2.95602422706332[/C][/ROW]
[ROW][C]0.45[/C][C]123.404226916909[/C][C]2.92057837881156[/C][/ROW]
[ROW][C]0.46[/C][C]123.945157337551[/C][C]2.89564307351151[/C][/ROW]
[ROW][C]0.47[/C][C]124.482471673820[/C][C]2.88522918605637[/C][/ROW]
[ROW][C]0.48[/C][C]125.018473264728[/C][C]2.89018638651697[/C][/ROW]
[ROW][C]0.49[/C][C]125.555550849790[/C][C]2.90865458528641[/C][/ROW]
[ROW][C]0.5[/C][C]126.095834198533[/C][C]2.93716947460035[/C][/ROW]
[ROW][C]0.51[/C][C]126.640960735559[/C][C]2.97128996155100[/C][/ROW]
[ROW][C]0.52[/C][C]127.191967488672[/C][C]3.00714738366682[/C][/ROW]
[ROW][C]0.53[/C][C]127.749295002705[/C][C]3.04092038243175[/C][/ROW]
[ROW][C]0.54[/C][C]128.312870182989[/C][C]3.07078574421595[/C][/ROW]
[ROW][C]0.55[/C][C]128.882226279358[/C][C]3.09479826784891[/C][/ROW]
[ROW][C]0.56[/C][C]129.456620689967[/C][C]3.11239533525431[/C][/ROW]
[ROW][C]0.57[/C][C]130.035123099423[/C][C]3.12364166840809[/C][/ROW]
[ROW][C]0.58[/C][C]130.616664319159[/C][C]3.12782355220439[/C][/ROW]
[ROW][C]0.59[/C][C]131.200055873821[/C][C]3.12454222362035[/C][/ROW]
[ROW][C]0.6[/C][C]131.784007413450[/C][C]3.1133553081393[/C][/ROW]
[ROW][C]0.61[/C][C]132.367179257725[/C][C]3.09316829307720[/C][/ROW]
[ROW][C]0.62[/C][C]132.948307511056[/C][C]3.06390260102975[/C][/ROW]
[ROW][C]0.63[/C][C]133.526427456020[/C][C]3.02677022271834[/C][/ROW]
[ROW][C]0.64[/C][C]134.101197666826[/C][C]2.98473603175913[/C][/ROW]
[ROW][C]0.65[/C][C]134.673295313664[/C][C]2.94326059206658[/C][/ROW]
[ROW][C]0.66[/C][C]135.244817852630[/C][C]2.91084001019200[/C][/ROW]
[ROW][C]0.67[/C][C]135.819595306993[/C][C]2.89781582155145[/C][/ROW]
[ROW][C]0.68[/C][C]136.403299532630[/C][C]2.91597725471209[/C][/ROW]
[ROW][C]0.69[/C][C]137.00324094464[/C][C]2.97525940193966[/C][/ROW]
[ROW][C]0.7[/C][C]137.627775688333[/C][C]3.08210864163156[/C][/ROW]
[ROW][C]0.71[/C][C]138.285309024920[/C][C]3.23499854209608[/C][/ROW]
[ROW][C]0.72[/C][C]138.982968481422[/C][C]3.42420152999895[/C][/ROW]
[ROW][C]0.73[/C][C]139.725119017228[/C][C]3.63138619171758[/C][/ROW]
[ROW][C]0.74[/C][C]140.511979704906[/C][C]3.83072231590634[/C][/ROW]
[ROW][C]0.75[/C][C]141.338650254211[/C][C]3.99281991972943[/C][/ROW]
[ROW][C]0.76[/C][C]142.194841895663[/C][C]4.09005260646416[/C][/ROW]
[ROW][C]0.77[/C][C]143.065518593317[/C][C]4.09966463504816[/C][/ROW]
[ROW][C]0.78[/C][C]143.93249941256[/C][C]4.00980535241334[/C][/ROW]
[ROW][C]0.79[/C][C]144.776881762836[/C][C]3.82143560361829[/C][/ROW]
[ROW][C]0.8[/C][C]145.581964373345[/C][C]3.55014816948239[/C][/ROW]
[ROW][C]0.81[/C][C]146.336224238380[/C][C]3.22438169590571[/C][/ROW]
[ROW][C]0.82[/C][C]147.035860095699[/C][C]2.88293367350822[/C][/ROW]
[ROW][C]0.83[/C][C]147.686451073144[/C][C]2.57017934971415[/C][/ROW]
[ROW][C]0.84[/C][C]148.303359659045[/C][C]2.33210463811278[/C][/ROW]
[ROW][C]0.85[/C][C]148.910596327171[/C][C]2.20887223462599[/C][/ROW]
[ROW][C]0.86[/C][C]149.537957023836[/C][C]2.22394397508050[/C][/ROW]
[ROW][C]0.87[/C][C]150.216407766091[/C][C]2.37143080793134[/C][/ROW]
[ROW][C]0.88[/C][C]150.972041589635[/C][C]2.61290369798543[/C][/ROW]
[ROW][C]0.89[/C][C]151.819565610596[/C][C]2.88453920132773[/C][/ROW]
[ROW][C]0.9[/C][C]152.757110849537[/C][C]3.10947290438445[/C][/ROW]
[ROW][C]0.91[/C][C]153.764800214466[/C][C]3.2148874376627[/C][/ROW]
[ROW][C]0.92[/C][C]154.809259435782[/C][C]3.15381145774779[/C][/ROW]
[ROW][C]0.93[/C][C]155.854413319329[/C][C]2.92774227633187[/C][/ROW]
[ROW][C]0.94[/C][C]156.875400059347[/C][C]2.59624497011091[/C][/ROW]
[ROW][C]0.95[/C][C]157.868468058235[/C][C]2.26015931380877[/C][/ROW]
[ROW][C]0.96[/C][C]158.847853997559[/C][C]2.00447669846802[/C][/ROW]
[ROW][C]0.97[/C][C]159.823474324315[/C][C]1.81359047166355[/C][/ROW]
[ROW][C]0.98[/C][C]160.761575165546[/C][C]1.56680516181081[/C][/ROW]
[ROW][C]0.99[/C][C]161.546727610491[/C][C]1.22277501848541[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6349&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
0.0193.7874976899312.13776200805646
0.0295.07616620060462.42397459172104
0.0396.54005514107642.6951721625762
0.0498.00789579396392.96334322959378
0.0599.43779262332063.23698942497517
0.06100.8305373992393.45504629119585
0.07102.1834865522453.57046772620208
0.08103.4826927789963.57991747555128
0.09104.7096741306553.50101913455921
0.1105.8481732321853.35146424351317
0.11106.8870422637603.14521140340538
0.12107.8205944947432.89675511899117
0.13108.6482886523872.62481931317223
0.14109.3744276794212.35147008773207
0.15110.0076781891932.09822189911741
0.16110.5601141680211.88261433236201
0.17111.0457944324541.71461346416099
0.18111.4791713361401.59580212122894
0.19111.8737087099961.52080430153328
0.2112.2409782955191.48070596705836
0.21112.5903121678781.46670013250547
0.22112.9289169697221.47217990881738
0.23113.2622629653841.49307751241466
0.24113.5945560635861.52720760319919
0.25113.9291577173831.57336900032186
0.26114.2688954628571.63064151920919
0.27114.6162700899721.69811611328663
0.28114.9735946754311.7750650545954
0.29115.3430955417721.86186455020336
0.3115.7269795960131.95922052010536
0.31116.1274462136972.06865375640926
0.32116.5466115519002.19044442189080
0.33116.9863262104802.32348572027404
0.34117.4478994954892.46391339179878
0.35117.9317823129892.60522109603806
0.36118.4372898390042.73911289204880
0.37118.9624516636002.85644144228748
0.38119.5040562328242.94946597882386
0.39120.0579129450523.01311453694473
0.4120.6193018081733.04538932150371
0.41121.1835329786833.04879460538077
0.42121.7465105091033.02928973633541
0.43122.3051935650072.99517543523091
0.44122.85787335672.95602422706332
0.45123.4042269169092.92057837881156
0.46123.9451573375512.89564307351151
0.47124.4824716738202.88522918605637
0.48125.0184732647282.89018638651697
0.49125.5555508497902.90865458528641
0.5126.0958341985332.93716947460035
0.51126.6409607355592.97128996155100
0.52127.1919674886723.00714738366682
0.53127.7492950027053.04092038243175
0.54128.3128701829893.07078574421595
0.55128.8822262793583.09479826784891
0.56129.4566206899673.11239533525431
0.57130.0351230994233.12364166840809
0.58130.6166643191593.12782355220439
0.59131.2000558738213.12454222362035
0.6131.7840074134503.1133553081393
0.61132.3671792577253.09316829307720
0.62132.9483075110563.06390260102975
0.63133.5264274560203.02677022271834
0.64134.1011976668262.98473603175913
0.65134.6732953136642.94326059206658
0.66135.2448178526302.91084001019200
0.67135.8195953069932.89781582155145
0.68136.4032995326302.91597725471209
0.69137.003240944642.97525940193966
0.7137.6277756883333.08210864163156
0.71138.2853090249203.23499854209608
0.72138.9829684814223.42420152999895
0.73139.7251190172283.63138619171758
0.74140.5119797049063.83072231590634
0.75141.3386502542113.99281991972943
0.76142.1948418956634.09005260646416
0.77143.0655185933174.09966463504816
0.78143.932499412564.00980535241334
0.79144.7768817628363.82143560361829
0.8145.5819643733453.55014816948239
0.81146.3362242383803.22438169590571
0.82147.0358600956992.88293367350822
0.83147.6864510731442.57017934971415
0.84148.3033596590452.33210463811278
0.85148.9105963271712.20887223462599
0.86149.5379570238362.22394397508050
0.87150.2164077660912.37143080793134
0.88150.9720415896352.61290369798543
0.89151.8195656105962.88453920132773
0.9152.7571108495373.10947290438445
0.91153.7648002144663.2148874376627
0.92154.8092594357823.15381145774779
0.93155.8544133193292.92774227633187
0.94156.8754000593472.59624497011091
0.95157.8684680582352.26015931380877
0.96158.8478539975592.00447669846802
0.97159.8234743243151.81359047166355
0.98160.7615751655461.56680516181081
0.99161.5467276104911.22277501848541


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')