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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 computationSun, 05 Oct 2014 15:30:43 +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/05/t1412519498pfkb3e1l05onapg.htm/, Retrieved Sat, 11 May 2024 17:57:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238804, Retrieved Sat, 11 May 2024 17:57:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [] [2014-10-05 14:30:43] [bc3b0a9d08b571f2c6b79bb1a1231eac] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
250.8
247.6
237.8
226.4
217.2
211.4
207.6
204.3
197.5
193.6
192.3
192
196.1
191.9
185.6
179.4
173.9
169.2
166.8
165.2
161.4
160.8
163.7
170.8
182.7
190.9
197.8
205.1
210.7
220.2
229.7
237.1
241.6
250.4
258.6
269.9
283.2
289.6
281.8
274.7
267.6
261.4
260.5
260.7
254.2
250.5
253.4
263.7
276.2
273.8
265.9
258.4
253.5
250.7
252.8
255.3
251.2
252.5
257.8
269.9
291.6
298.9
295.6
292.1
290.9
290.6
298
304
304.3
309.8
322.3
340.2
369.3
376.7
379.7
379.5
377.8
381.6
394.6
399.3
400.4
408.2
419.1
437.7

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238804&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238804&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.2972065500251.19323904973219
0.02162.2984478854032.00272226817605
0.03163.6397279105252.65414837679141
0.04165.1882491023623.28303857137897
0.05166.9030096244224.04791729069773
0.06168.8010979402814.957649750011
0.07170.9052488438585.91821937541125
0.08173.209552966266.79383083058533
0.09175.6692490972737.45218197738111
0.1178.2081745399337.8048132535078
0.11180.7359289354177.8299635882844
0.12183.1676794945957.57224708264274
0.13185.4407948683597.12799935615053
0.14187.5245671797926.62003966858188
0.15189.4218874380646.17308879644389
0.16191.1640402036645.89039229514557
0.17192.8011998764995.83389567379335
0.18194.3916251463456.01568990857501
0.19195.9921306669246.40540354680638
0.2197.6514673894376.95393793714752
0.21199.4071168044667.61053506772468
0.22201.2850278713758.3357896887558
0.23203.3012226443329.10154318452825
0.24205.4640392106839.88993603835829
0.25207.77599936914510.6855780890019
0.26210.23472942889911.4712931839453
0.27212.83285258053812.2214093646721
0.28215.55716880156412.9029203887167
0.29218.38765965824313.4755842040345
0.3221.29688111275413.8969297407658
0.31224.25017204039414.1290288398039
0.32227.20687732025714.1430571262625
0.33230.12253764500213.9233467035343
0.34232.95179480621813.471513913043
0.35235.65163547648612.8051979516164
0.36238.18455524721711.9580568486942
0.37240.52125550412110.9745595119838
0.38242.642568158299.90833989478884
0.39244.5404170579188.81574588514585
0.4246.2177531178717.75155186894472
0.41247.6875281095746.76488828064906
0.42248.970885264025.89498266311975
0.43250.0948291795575.1700708705114
0.44251.0896813981184.60573897593811
0.45251.9866258521794.20385116692026
0.46252.8156029550033.95470023479765
0.47253.6037331745493.83894691044986
0.48254.3743563723033.83146983352776
0.49255.1466789226683.90674626610881
0.5255.9359410820374.04280425760904
0.51256.7539621800714.22351879353205
0.52257.6098958841964.4370023294753
0.53258.5110321888724.6778717014253
0.54259.4635125500944.94331350508222
0.55260.4728711439975.23119568945841
0.56261.544366647795.54232632271133
0.57262.6831121339775.87490472120183
0.58263.8940349936516.2275528547602
0.59265.1817001525086.59693685552857
0.6266.5500134214596.97934211672124
0.61268.0018017885777.36817342655072
0.62269.5382624906437.75537902246909
0.63271.158298320058.12901523496625
0.64272.8578168471168.47225157887977
0.65274.6291532730778.76632096334479
0.66276.4608519065138.99065287190015
0.67278.338074179319.1260605932027
0.68280.2438635948769.16204949543936
0.69282.1613843808169.0990905172034
0.7284.0770855723398.95473791293438
0.71285.9845749845158.76712667089195
0.72287.8888703586188.5944307427195
0.73289.8106521207368.51455058578451
0.74291.7901430743738.62279863828819
0.75293.8901963801349.02520842500334
0.76296.1979741362449.82830727001428
0.77298.82419049789111.123547996542
0.78301.89837335216112.9690736555936
0.79305.55828107993915.3636798634094
0.8309.93199092245118.2205982191344
0.81315.11274128494521.3427879785577
0.82321.12951149642324.4172435254208
0.83327.9200074229327.0373054284627
0.84335.31576696541428.7691039009623
0.85343.04948583172329.2516768902052
0.86350.79061022095828.3084004968641
0.87358.20641775988826.0326900076093
0.88365.03437234380822.8040428730098
0.89371.14230014019919.2170557034075
0.9376.55202958859215.9261477834938
0.91381.4140942743113.4354242641876
0.92385.94481898410811.883789655485
0.93390.36264816712711.0048641630641
0.94394.87067403757110.4313130125066
0.95399.71296766521410.0879276757745
0.96405.28462130711610.264554138592
0.97412.19013147473611.257606839703
0.98420.93460496492113.1257707154341
0.99430.68678226884115.8606099078021

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 161.297206550025 & 1.19323904973219 \tabularnewline
0.02 & 162.298447885403 & 2.00272226817605 \tabularnewline
0.03 & 163.639727910525 & 2.65414837679141 \tabularnewline
0.04 & 165.188249102362 & 3.28303857137897 \tabularnewline
0.05 & 166.903009624422 & 4.04791729069773 \tabularnewline
0.06 & 168.801097940281 & 4.957649750011 \tabularnewline
0.07 & 170.905248843858 & 5.91821937541125 \tabularnewline
0.08 & 173.20955296626 & 6.79383083058533 \tabularnewline
0.09 & 175.669249097273 & 7.45218197738111 \tabularnewline
0.1 & 178.208174539933 & 7.8048132535078 \tabularnewline
0.11 & 180.735928935417 & 7.8299635882844 \tabularnewline
0.12 & 183.167679494595 & 7.57224708264274 \tabularnewline
0.13 & 185.440794868359 & 7.12799935615053 \tabularnewline
0.14 & 187.524567179792 & 6.62003966858188 \tabularnewline
0.15 & 189.421887438064 & 6.17308879644389 \tabularnewline
0.16 & 191.164040203664 & 5.89039229514557 \tabularnewline
0.17 & 192.801199876499 & 5.83389567379335 \tabularnewline
0.18 & 194.391625146345 & 6.01568990857501 \tabularnewline
0.19 & 195.992130666924 & 6.40540354680638 \tabularnewline
0.2 & 197.651467389437 & 6.95393793714752 \tabularnewline
0.21 & 199.407116804466 & 7.61053506772468 \tabularnewline
0.22 & 201.285027871375 & 8.3357896887558 \tabularnewline
0.23 & 203.301222644332 & 9.10154318452825 \tabularnewline
0.24 & 205.464039210683 & 9.88993603835829 \tabularnewline
0.25 & 207.775999369145 & 10.6855780890019 \tabularnewline
0.26 & 210.234729428899 & 11.4712931839453 \tabularnewline
0.27 & 212.832852580538 & 12.2214093646721 \tabularnewline
0.28 & 215.557168801564 & 12.9029203887167 \tabularnewline
0.29 & 218.387659658243 & 13.4755842040345 \tabularnewline
0.3 & 221.296881112754 & 13.8969297407658 \tabularnewline
0.31 & 224.250172040394 & 14.1290288398039 \tabularnewline
0.32 & 227.206877320257 & 14.1430571262625 \tabularnewline
0.33 & 230.122537645002 & 13.9233467035343 \tabularnewline
0.34 & 232.951794806218 & 13.471513913043 \tabularnewline
0.35 & 235.651635476486 & 12.8051979516164 \tabularnewline
0.36 & 238.184555247217 & 11.9580568486942 \tabularnewline
0.37 & 240.521255504121 & 10.9745595119838 \tabularnewline
0.38 & 242.64256815829 & 9.90833989478884 \tabularnewline
0.39 & 244.540417057918 & 8.81574588514585 \tabularnewline
0.4 & 246.217753117871 & 7.75155186894472 \tabularnewline
0.41 & 247.687528109574 & 6.76488828064906 \tabularnewline
0.42 & 248.97088526402 & 5.89498266311975 \tabularnewline
0.43 & 250.094829179557 & 5.1700708705114 \tabularnewline
0.44 & 251.089681398118 & 4.60573897593811 \tabularnewline
0.45 & 251.986625852179 & 4.20385116692026 \tabularnewline
0.46 & 252.815602955003 & 3.95470023479765 \tabularnewline
0.47 & 253.603733174549 & 3.83894691044986 \tabularnewline
0.48 & 254.374356372303 & 3.83146983352776 \tabularnewline
0.49 & 255.146678922668 & 3.90674626610881 \tabularnewline
0.5 & 255.935941082037 & 4.04280425760904 \tabularnewline
0.51 & 256.753962180071 & 4.22351879353205 \tabularnewline
0.52 & 257.609895884196 & 4.4370023294753 \tabularnewline
0.53 & 258.511032188872 & 4.6778717014253 \tabularnewline
0.54 & 259.463512550094 & 4.94331350508222 \tabularnewline
0.55 & 260.472871143997 & 5.23119568945841 \tabularnewline
0.56 & 261.54436664779 & 5.54232632271133 \tabularnewline
0.57 & 262.683112133977 & 5.87490472120183 \tabularnewline
0.58 & 263.894034993651 & 6.2275528547602 \tabularnewline
0.59 & 265.181700152508 & 6.59693685552857 \tabularnewline
0.6 & 266.550013421459 & 6.97934211672124 \tabularnewline
0.61 & 268.001801788577 & 7.36817342655072 \tabularnewline
0.62 & 269.538262490643 & 7.75537902246909 \tabularnewline
0.63 & 271.15829832005 & 8.12901523496625 \tabularnewline
0.64 & 272.857816847116 & 8.47225157887977 \tabularnewline
0.65 & 274.629153273077 & 8.76632096334479 \tabularnewline
0.66 & 276.460851906513 & 8.99065287190015 \tabularnewline
0.67 & 278.33807417931 & 9.1260605932027 \tabularnewline
0.68 & 280.243863594876 & 9.16204949543936 \tabularnewline
0.69 & 282.161384380816 & 9.0990905172034 \tabularnewline
0.7 & 284.077085572339 & 8.95473791293438 \tabularnewline
0.71 & 285.984574984515 & 8.76712667089195 \tabularnewline
0.72 & 287.888870358618 & 8.5944307427195 \tabularnewline
0.73 & 289.810652120736 & 8.51455058578451 \tabularnewline
0.74 & 291.790143074373 & 8.62279863828819 \tabularnewline
0.75 & 293.890196380134 & 9.02520842500334 \tabularnewline
0.76 & 296.197974136244 & 9.82830727001428 \tabularnewline
0.77 & 298.824190497891 & 11.123547996542 \tabularnewline
0.78 & 301.898373352161 & 12.9690736555936 \tabularnewline
0.79 & 305.558281079939 & 15.3636798634094 \tabularnewline
0.8 & 309.931990922451 & 18.2205982191344 \tabularnewline
0.81 & 315.112741284945 & 21.3427879785577 \tabularnewline
0.82 & 321.129511496423 & 24.4172435254208 \tabularnewline
0.83 & 327.92000742293 & 27.0373054284627 \tabularnewline
0.84 & 335.315766965414 & 28.7691039009623 \tabularnewline
0.85 & 343.049485831723 & 29.2516768902052 \tabularnewline
0.86 & 350.790610220958 & 28.3084004968641 \tabularnewline
0.87 & 358.206417759888 & 26.0326900076093 \tabularnewline
0.88 & 365.034372343808 & 22.8040428730098 \tabularnewline
0.89 & 371.142300140199 & 19.2170557034075 \tabularnewline
0.9 & 376.552029588592 & 15.9261477834938 \tabularnewline
0.91 & 381.41409427431 & 13.4354242641876 \tabularnewline
0.92 & 385.944818984108 & 11.883789655485 \tabularnewline
0.93 & 390.362648167127 & 11.0048641630641 \tabularnewline
0.94 & 394.870674037571 & 10.4313130125066 \tabularnewline
0.95 & 399.712967665214 & 10.0879276757745 \tabularnewline
0.96 & 405.284621307116 & 10.264554138592 \tabularnewline
0.97 & 412.190131474736 & 11.257606839703 \tabularnewline
0.98 & 420.934604964921 & 13.1257707154341 \tabularnewline
0.99 & 430.686782268841 & 15.8606099078021 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238804&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]161.297206550025[/C][C]1.19323904973219[/C][/ROW]
[ROW][C]0.02[/C][C]162.298447885403[/C][C]2.00272226817605[/C][/ROW]
[ROW][C]0.03[/C][C]163.639727910525[/C][C]2.65414837679141[/C][/ROW]
[ROW][C]0.04[/C][C]165.188249102362[/C][C]3.28303857137897[/C][/ROW]
[ROW][C]0.05[/C][C]166.903009624422[/C][C]4.04791729069773[/C][/ROW]
[ROW][C]0.06[/C][C]168.801097940281[/C][C]4.957649750011[/C][/ROW]
[ROW][C]0.07[/C][C]170.905248843858[/C][C]5.91821937541125[/C][/ROW]
[ROW][C]0.08[/C][C]173.20955296626[/C][C]6.79383083058533[/C][/ROW]
[ROW][C]0.09[/C][C]175.669249097273[/C][C]7.45218197738111[/C][/ROW]
[ROW][C]0.1[/C][C]178.208174539933[/C][C]7.8048132535078[/C][/ROW]
[ROW][C]0.11[/C][C]180.735928935417[/C][C]7.8299635882844[/C][/ROW]
[ROW][C]0.12[/C][C]183.167679494595[/C][C]7.57224708264274[/C][/ROW]
[ROW][C]0.13[/C][C]185.440794868359[/C][C]7.12799935615053[/C][/ROW]
[ROW][C]0.14[/C][C]187.524567179792[/C][C]6.62003966858188[/C][/ROW]
[ROW][C]0.15[/C][C]189.421887438064[/C][C]6.17308879644389[/C][/ROW]
[ROW][C]0.16[/C][C]191.164040203664[/C][C]5.89039229514557[/C][/ROW]
[ROW][C]0.17[/C][C]192.801199876499[/C][C]5.83389567379335[/C][/ROW]
[ROW][C]0.18[/C][C]194.391625146345[/C][C]6.01568990857501[/C][/ROW]
[ROW][C]0.19[/C][C]195.992130666924[/C][C]6.40540354680638[/C][/ROW]
[ROW][C]0.2[/C][C]197.651467389437[/C][C]6.95393793714752[/C][/ROW]
[ROW][C]0.21[/C][C]199.407116804466[/C][C]7.61053506772468[/C][/ROW]
[ROW][C]0.22[/C][C]201.285027871375[/C][C]8.3357896887558[/C][/ROW]
[ROW][C]0.23[/C][C]203.301222644332[/C][C]9.10154318452825[/C][/ROW]
[ROW][C]0.24[/C][C]205.464039210683[/C][C]9.88993603835829[/C][/ROW]
[ROW][C]0.25[/C][C]207.775999369145[/C][C]10.6855780890019[/C][/ROW]
[ROW][C]0.26[/C][C]210.234729428899[/C][C]11.4712931839453[/C][/ROW]
[ROW][C]0.27[/C][C]212.832852580538[/C][C]12.2214093646721[/C][/ROW]
[ROW][C]0.28[/C][C]215.557168801564[/C][C]12.9029203887167[/C][/ROW]
[ROW][C]0.29[/C][C]218.387659658243[/C][C]13.4755842040345[/C][/ROW]
[ROW][C]0.3[/C][C]221.296881112754[/C][C]13.8969297407658[/C][/ROW]
[ROW][C]0.31[/C][C]224.250172040394[/C][C]14.1290288398039[/C][/ROW]
[ROW][C]0.32[/C][C]227.206877320257[/C][C]14.1430571262625[/C][/ROW]
[ROW][C]0.33[/C][C]230.122537645002[/C][C]13.9233467035343[/C][/ROW]
[ROW][C]0.34[/C][C]232.951794806218[/C][C]13.471513913043[/C][/ROW]
[ROW][C]0.35[/C][C]235.651635476486[/C][C]12.8051979516164[/C][/ROW]
[ROW][C]0.36[/C][C]238.184555247217[/C][C]11.9580568486942[/C][/ROW]
[ROW][C]0.37[/C][C]240.521255504121[/C][C]10.9745595119838[/C][/ROW]
[ROW][C]0.38[/C][C]242.64256815829[/C][C]9.90833989478884[/C][/ROW]
[ROW][C]0.39[/C][C]244.540417057918[/C][C]8.81574588514585[/C][/ROW]
[ROW][C]0.4[/C][C]246.217753117871[/C][C]7.75155186894472[/C][/ROW]
[ROW][C]0.41[/C][C]247.687528109574[/C][C]6.76488828064906[/C][/ROW]
[ROW][C]0.42[/C][C]248.97088526402[/C][C]5.89498266311975[/C][/ROW]
[ROW][C]0.43[/C][C]250.094829179557[/C][C]5.1700708705114[/C][/ROW]
[ROW][C]0.44[/C][C]251.089681398118[/C][C]4.60573897593811[/C][/ROW]
[ROW][C]0.45[/C][C]251.986625852179[/C][C]4.20385116692026[/C][/ROW]
[ROW][C]0.46[/C][C]252.815602955003[/C][C]3.95470023479765[/C][/ROW]
[ROW][C]0.47[/C][C]253.603733174549[/C][C]3.83894691044986[/C][/ROW]
[ROW][C]0.48[/C][C]254.374356372303[/C][C]3.83146983352776[/C][/ROW]
[ROW][C]0.49[/C][C]255.146678922668[/C][C]3.90674626610881[/C][/ROW]
[ROW][C]0.5[/C][C]255.935941082037[/C][C]4.04280425760904[/C][/ROW]
[ROW][C]0.51[/C][C]256.753962180071[/C][C]4.22351879353205[/C][/ROW]
[ROW][C]0.52[/C][C]257.609895884196[/C][C]4.4370023294753[/C][/ROW]
[ROW][C]0.53[/C][C]258.511032188872[/C][C]4.6778717014253[/C][/ROW]
[ROW][C]0.54[/C][C]259.463512550094[/C][C]4.94331350508222[/C][/ROW]
[ROW][C]0.55[/C][C]260.472871143997[/C][C]5.23119568945841[/C][/ROW]
[ROW][C]0.56[/C][C]261.54436664779[/C][C]5.54232632271133[/C][/ROW]
[ROW][C]0.57[/C][C]262.683112133977[/C][C]5.87490472120183[/C][/ROW]
[ROW][C]0.58[/C][C]263.894034993651[/C][C]6.2275528547602[/C][/ROW]
[ROW][C]0.59[/C][C]265.181700152508[/C][C]6.59693685552857[/C][/ROW]
[ROW][C]0.6[/C][C]266.550013421459[/C][C]6.97934211672124[/C][/ROW]
[ROW][C]0.61[/C][C]268.001801788577[/C][C]7.36817342655072[/C][/ROW]
[ROW][C]0.62[/C][C]269.538262490643[/C][C]7.75537902246909[/C][/ROW]
[ROW][C]0.63[/C][C]271.15829832005[/C][C]8.12901523496625[/C][/ROW]
[ROW][C]0.64[/C][C]272.857816847116[/C][C]8.47225157887977[/C][/ROW]
[ROW][C]0.65[/C][C]274.629153273077[/C][C]8.76632096334479[/C][/ROW]
[ROW][C]0.66[/C][C]276.460851906513[/C][C]8.99065287190015[/C][/ROW]
[ROW][C]0.67[/C][C]278.33807417931[/C][C]9.1260605932027[/C][/ROW]
[ROW][C]0.68[/C][C]280.243863594876[/C][C]9.16204949543936[/C][/ROW]
[ROW][C]0.69[/C][C]282.161384380816[/C][C]9.0990905172034[/C][/ROW]
[ROW][C]0.7[/C][C]284.077085572339[/C][C]8.95473791293438[/C][/ROW]
[ROW][C]0.71[/C][C]285.984574984515[/C][C]8.76712667089195[/C][/ROW]
[ROW][C]0.72[/C][C]287.888870358618[/C][C]8.5944307427195[/C][/ROW]
[ROW][C]0.73[/C][C]289.810652120736[/C][C]8.51455058578451[/C][/ROW]
[ROW][C]0.74[/C][C]291.790143074373[/C][C]8.62279863828819[/C][/ROW]
[ROW][C]0.75[/C][C]293.890196380134[/C][C]9.02520842500334[/C][/ROW]
[ROW][C]0.76[/C][C]296.197974136244[/C][C]9.82830727001428[/C][/ROW]
[ROW][C]0.77[/C][C]298.824190497891[/C][C]11.123547996542[/C][/ROW]
[ROW][C]0.78[/C][C]301.898373352161[/C][C]12.9690736555936[/C][/ROW]
[ROW][C]0.79[/C][C]305.558281079939[/C][C]15.3636798634094[/C][/ROW]
[ROW][C]0.8[/C][C]309.931990922451[/C][C]18.2205982191344[/C][/ROW]
[ROW][C]0.81[/C][C]315.112741284945[/C][C]21.3427879785577[/C][/ROW]
[ROW][C]0.82[/C][C]321.129511496423[/C][C]24.4172435254208[/C][/ROW]
[ROW][C]0.83[/C][C]327.92000742293[/C][C]27.0373054284627[/C][/ROW]
[ROW][C]0.84[/C][C]335.315766965414[/C][C]28.7691039009623[/C][/ROW]
[ROW][C]0.85[/C][C]343.049485831723[/C][C]29.2516768902052[/C][/ROW]
[ROW][C]0.86[/C][C]350.790610220958[/C][C]28.3084004968641[/C][/ROW]
[ROW][C]0.87[/C][C]358.206417759888[/C][C]26.0326900076093[/C][/ROW]
[ROW][C]0.88[/C][C]365.034372343808[/C][C]22.8040428730098[/C][/ROW]
[ROW][C]0.89[/C][C]371.142300140199[/C][C]19.2170557034075[/C][/ROW]
[ROW][C]0.9[/C][C]376.552029588592[/C][C]15.9261477834938[/C][/ROW]
[ROW][C]0.91[/C][C]381.41409427431[/C][C]13.4354242641876[/C][/ROW]
[ROW][C]0.92[/C][C]385.944818984108[/C][C]11.883789655485[/C][/ROW]
[ROW][C]0.93[/C][C]390.362648167127[/C][C]11.0048641630641[/C][/ROW]
[ROW][C]0.94[/C][C]394.870674037571[/C][C]10.4313130125066[/C][/ROW]
[ROW][C]0.95[/C][C]399.712967665214[/C][C]10.0879276757745[/C][/ROW]
[ROW][C]0.96[/C][C]405.284621307116[/C][C]10.264554138592[/C][/ROW]
[ROW][C]0.97[/C][C]412.190131474736[/C][C]11.257606839703[/C][/ROW]
[ROW][C]0.98[/C][C]420.934604964921[/C][C]13.1257707154341[/C][/ROW]
[ROW][C]0.99[/C][C]430.686782268841[/C][C]15.8606099078021[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238804&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
0.01161.2972065500251.19323904973219
0.02162.2984478854032.00272226817605
0.03163.6397279105252.65414837679141
0.04165.1882491023623.28303857137897
0.05166.9030096244224.04791729069773
0.06168.8010979402814.957649750011
0.07170.9052488438585.91821937541125
0.08173.209552966266.79383083058533
0.09175.6692490972737.45218197738111
0.1178.2081745399337.8048132535078
0.11180.7359289354177.8299635882844
0.12183.1676794945957.57224708264274
0.13185.4407948683597.12799935615053
0.14187.5245671797926.62003966858188
0.15189.4218874380646.17308879644389
0.16191.1640402036645.89039229514557
0.17192.8011998764995.83389567379335
0.18194.3916251463456.01568990857501
0.19195.9921306669246.40540354680638
0.2197.6514673894376.95393793714752
0.21199.4071168044667.61053506772468
0.22201.2850278713758.3357896887558
0.23203.3012226443329.10154318452825
0.24205.4640392106839.88993603835829
0.25207.77599936914510.6855780890019
0.26210.23472942889911.4712931839453
0.27212.83285258053812.2214093646721
0.28215.55716880156412.9029203887167
0.29218.38765965824313.4755842040345
0.3221.29688111275413.8969297407658
0.31224.25017204039414.1290288398039
0.32227.20687732025714.1430571262625
0.33230.12253764500213.9233467035343
0.34232.95179480621813.471513913043
0.35235.65163547648612.8051979516164
0.36238.18455524721711.9580568486942
0.37240.52125550412110.9745595119838
0.38242.642568158299.90833989478884
0.39244.5404170579188.81574588514585
0.4246.2177531178717.75155186894472
0.41247.6875281095746.76488828064906
0.42248.970885264025.89498266311975
0.43250.0948291795575.1700708705114
0.44251.0896813981184.60573897593811
0.45251.9866258521794.20385116692026
0.46252.8156029550033.95470023479765
0.47253.6037331745493.83894691044986
0.48254.3743563723033.83146983352776
0.49255.1466789226683.90674626610881
0.5255.9359410820374.04280425760904
0.51256.7539621800714.22351879353205
0.52257.6098958841964.4370023294753
0.53258.5110321888724.6778717014253
0.54259.4635125500944.94331350508222
0.55260.4728711439975.23119568945841
0.56261.544366647795.54232632271133
0.57262.6831121339775.87490472120183
0.58263.8940349936516.2275528547602
0.59265.1817001525086.59693685552857
0.6266.5500134214596.97934211672124
0.61268.0018017885777.36817342655072
0.62269.5382624906437.75537902246909
0.63271.158298320058.12901523496625
0.64272.8578168471168.47225157887977
0.65274.6291532730778.76632096334479
0.66276.4608519065138.99065287190015
0.67278.338074179319.1260605932027
0.68280.2438635948769.16204949543936
0.69282.1613843808169.0990905172034
0.7284.0770855723398.95473791293438
0.71285.9845749845158.76712667089195
0.72287.8888703586188.5944307427195
0.73289.8106521207368.51455058578451
0.74291.7901430743738.62279863828819
0.75293.8901963801349.02520842500334
0.76296.1979741362449.82830727001428
0.77298.82419049789111.123547996542
0.78301.89837335216112.9690736555936
0.79305.55828107993915.3636798634094
0.8309.93199092245118.2205982191344
0.81315.11274128494521.3427879785577
0.82321.12951149642324.4172435254208
0.83327.9200074229327.0373054284627
0.84335.31576696541428.7691039009623
0.85343.04948583172329.2516768902052
0.86350.79061022095828.3084004968641
0.87358.20641775988826.0326900076093
0.88365.03437234380822.8040428730098
0.89371.14230014019919.2170557034075
0.9376.55202958859215.9261477834938
0.91381.4140942743113.4354242641876
0.92385.94481898410811.883789655485
0.93390.36264816712711.0048641630641
0.94394.87067403757110.4313130125066
0.95399.71296766521410.0879276757745
0.96405.28462130711610.264554138592
0.97412.19013147473611.257606839703
0.98420.93460496492113.1257707154341
0.99430.68678226884115.8606099078021


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')