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Description of Statistical Computation

Author's title

Percentielen van Australische maandelijkse bierproductie van jan '91 tot au...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 01 Mar 2008 12:09:03 -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/2008/Mar/01/t1204398611jivqehhbdnc6kmc.htm/, Retrieved Thu, 12 Feb 2026 01:17:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9446, Retrieved Thu, 12 Feb 2026 01:17:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact462

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] [Percentielen van ...] [2008-03-01 19:09:03] [678dd736c2ca43f11132dfe6e57daf69] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
164
148
152
144
155
125
153
146
138
190
192
192
147
133
163
150
129
131
145
137
138
168
176
188
139
143
150
154
137
129
128
140
143
151
177
184
151
134
164
126
131
125
127
143
143
160
190
182
138
136
152
127
151
130
119
153

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9446&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9446&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01120.1139872629814.88976846189424
0.02121.6329188526153.57191859178146
0.03123.0822092236062.41537845596070
0.04124.2317777664041.66084141357253
0.05125.0728970033121.30958566583575
0.06125.6934174887691.21325791269864
0.07126.1861988721111.22153141350580
0.08126.6151652954661.26261460783482
0.09127.0156944664381.31661441883910
0.1127.4052598367261.38111367029525
0.11127.7926368983841.45704251051524
0.12128.1831202481851.54495753417658
0.13128.5807783543341.64595245312197
0.14128.9891896562461.76096897349412
0.15129.4115537734981.89031189803018
0.16129.8505614782062.03210249965493
0.17130.3081564746362.18242926134590
0.18130.7852548431162.33475133894768
0.19131.2814916257012.48074574812086
0.2131.7950701266792.61110429120892
0.21132.3227748976262.71762376762952
0.22132.8601764017512.7931883776025
0.23133.4020151141112.83420325326609
0.24133.9427162300562.83993773655106
0.25134.4769607700172.81356756506204
0.26135.0002285033042.76151607858482
0.27135.5092333583972.69271711977150
0.28136.0021907954852.61781031274551
0.29136.4788849151692.54696115599894
0.3136.9405355196002.48957661593563
0.31137.3894962295112.45192647643399
0.32137.8288389992032.43746929263535
0.33138.2618942911582.44487175368151
0.34138.6918180506472.47053469944601
0.35139.1212468474122.50807857230295
0.36139.5520834333362.55094440112664
0.37139.9854302409462.59243419504324
0.38140.4216624963702.62812834355874
0.39140.8606100752712.65554845040243
0.4141.3018016213312.67442546341557
0.41141.7447179997962.68648866341275
0.42142.1890053604842.69526158129044
0.43142.6346096834592.70442226817976
0.44143.0818120172962.71764283284128
0.45143.5311632191482.7374457082348
0.46143.9833352887362.76400726701087
0.47144.4389203487562.79593914922260
0.48144.8982160250492.83013231222563
0.49145.3610367834352.8616103418592
0.5145.8265852940842.88542371397330
0.51146.2934076900332.89619571525141
0.52146.7594437827042.88962597706971
0.53147.2221701203492.86283674087149
0.54147.6788221816052.81461611474780
0.55148.1266734103202.74572073311247
0.56148.5633439774182.6591423655412
0.57148.9871111718892.55972126742187
0.58149.3971956308172.45434668743993
0.59149.7940021999852.35082757179815
0.6150.1792997898772.25863979563677
0.61150.5563298759732.18767656942791
0.62150.9298373118862.14814185406054
0.63151.3060195041962.14974060467014
0.64151.6923911706782.20052817814863
0.65152.0975631212912.30709469995338
0.66152.5309365690532.47229859987428
0.67153.0023211681352.69556508899888
0.68153.5214961986372.97290070868715
0.69154.0977492509333.29725316997937
0.7154.7394422832703.65857693125811
0.71155.4536657066474.04484249081445
0.72156.2460407229064.44390333245824
0.73157.1207129516224.84402413348256
0.74158.0805444532245.23601610955626
0.75159.1274606290175.6143234847425
0.76160.2628542747445.97760397184333
0.77161.4879081039196.32796210738887
0.78162.8036875384376.66864998183533
0.79164.2108904085867.00113097028989
0.8165.7092200144087.32147062554412
0.81167.2964565828247.61852669056142
0.82168.9674076571447.87394851968439
0.83170.7129813265128.06411629996192
0.84172.5196160231108.16477115086014
0.85174.3692099584548.15553339594792
0.86176.2395513638188.0233859066202
0.87178.1051210670957.76422733093986
0.88179.9380975991037.3817755259403
0.89181.7094882813056.88500356085757
0.9183.3905023694466.28580021936886
0.91184.9544241587815.59912628237917
0.92186.3791020667244.84649559978824
0.93187.6495761726944.06171665200243
0.94188.7594812253523.29246078846809
0.95189.7094038782542.59093921052130
0.96190.5014678596221.98684948057959
0.97191.1326619137441.45473752241732
0.98191.5932807803830.929895815270084
0.99191.8769014235070.40320854812458

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 120.113987262981 & 4.88976846189424 \tabularnewline
0.02 & 121.632918852615 & 3.57191859178146 \tabularnewline
0.03 & 123.082209223606 & 2.41537845596070 \tabularnewline
0.04 & 124.231777766404 & 1.66084141357253 \tabularnewline
0.05 & 125.072897003312 & 1.30958566583575 \tabularnewline
0.06 & 125.693417488769 & 1.21325791269864 \tabularnewline
0.07 & 126.186198872111 & 1.22153141350580 \tabularnewline
0.08 & 126.615165295466 & 1.26261460783482 \tabularnewline
0.09 & 127.015694466438 & 1.31661441883910 \tabularnewline
0.1 & 127.405259836726 & 1.38111367029525 \tabularnewline
0.11 & 127.792636898384 & 1.45704251051524 \tabularnewline
0.12 & 128.183120248185 & 1.54495753417658 \tabularnewline
0.13 & 128.580778354334 & 1.64595245312197 \tabularnewline
0.14 & 128.989189656246 & 1.76096897349412 \tabularnewline
0.15 & 129.411553773498 & 1.89031189803018 \tabularnewline
0.16 & 129.850561478206 & 2.03210249965493 \tabularnewline
0.17 & 130.308156474636 & 2.18242926134590 \tabularnewline
0.18 & 130.785254843116 & 2.33475133894768 \tabularnewline
0.19 & 131.281491625701 & 2.48074574812086 \tabularnewline
0.2 & 131.795070126679 & 2.61110429120892 \tabularnewline
0.21 & 132.322774897626 & 2.71762376762952 \tabularnewline
0.22 & 132.860176401751 & 2.7931883776025 \tabularnewline
0.23 & 133.402015114111 & 2.83420325326609 \tabularnewline
0.24 & 133.942716230056 & 2.83993773655106 \tabularnewline
0.25 & 134.476960770017 & 2.81356756506204 \tabularnewline
0.26 & 135.000228503304 & 2.76151607858482 \tabularnewline
0.27 & 135.509233358397 & 2.69271711977150 \tabularnewline
0.28 & 136.002190795485 & 2.61781031274551 \tabularnewline
0.29 & 136.478884915169 & 2.54696115599894 \tabularnewline
0.3 & 136.940535519600 & 2.48957661593563 \tabularnewline
0.31 & 137.389496229511 & 2.45192647643399 \tabularnewline
0.32 & 137.828838999203 & 2.43746929263535 \tabularnewline
0.33 & 138.261894291158 & 2.44487175368151 \tabularnewline
0.34 & 138.691818050647 & 2.47053469944601 \tabularnewline
0.35 & 139.121246847412 & 2.50807857230295 \tabularnewline
0.36 & 139.552083433336 & 2.55094440112664 \tabularnewline
0.37 & 139.985430240946 & 2.59243419504324 \tabularnewline
0.38 & 140.421662496370 & 2.62812834355874 \tabularnewline
0.39 & 140.860610075271 & 2.65554845040243 \tabularnewline
0.4 & 141.301801621331 & 2.67442546341557 \tabularnewline
0.41 & 141.744717999796 & 2.68648866341275 \tabularnewline
0.42 & 142.189005360484 & 2.69526158129044 \tabularnewline
0.43 & 142.634609683459 & 2.70442226817976 \tabularnewline
0.44 & 143.081812017296 & 2.71764283284128 \tabularnewline
0.45 & 143.531163219148 & 2.7374457082348 \tabularnewline
0.46 & 143.983335288736 & 2.76400726701087 \tabularnewline
0.47 & 144.438920348756 & 2.79593914922260 \tabularnewline
0.48 & 144.898216025049 & 2.83013231222563 \tabularnewline
0.49 & 145.361036783435 & 2.8616103418592 \tabularnewline
0.5 & 145.826585294084 & 2.88542371397330 \tabularnewline
0.51 & 146.293407690033 & 2.89619571525141 \tabularnewline
0.52 & 146.759443782704 & 2.88962597706971 \tabularnewline
0.53 & 147.222170120349 & 2.86283674087149 \tabularnewline
0.54 & 147.678822181605 & 2.81461611474780 \tabularnewline
0.55 & 148.126673410320 & 2.74572073311247 \tabularnewline
0.56 & 148.563343977418 & 2.6591423655412 \tabularnewline
0.57 & 148.987111171889 & 2.55972126742187 \tabularnewline
0.58 & 149.397195630817 & 2.45434668743993 \tabularnewline
0.59 & 149.794002199985 & 2.35082757179815 \tabularnewline
0.6 & 150.179299789877 & 2.25863979563677 \tabularnewline
0.61 & 150.556329875973 & 2.18767656942791 \tabularnewline
0.62 & 150.929837311886 & 2.14814185406054 \tabularnewline
0.63 & 151.306019504196 & 2.14974060467014 \tabularnewline
0.64 & 151.692391170678 & 2.20052817814863 \tabularnewline
0.65 & 152.097563121291 & 2.30709469995338 \tabularnewline
0.66 & 152.530936569053 & 2.47229859987428 \tabularnewline
0.67 & 153.002321168135 & 2.69556508899888 \tabularnewline
0.68 & 153.521496198637 & 2.97290070868715 \tabularnewline
0.69 & 154.097749250933 & 3.29725316997937 \tabularnewline
0.7 & 154.739442283270 & 3.65857693125811 \tabularnewline
0.71 & 155.453665706647 & 4.04484249081445 \tabularnewline
0.72 & 156.246040722906 & 4.44390333245824 \tabularnewline
0.73 & 157.120712951622 & 4.84402413348256 \tabularnewline
0.74 & 158.080544453224 & 5.23601610955626 \tabularnewline
0.75 & 159.127460629017 & 5.6143234847425 \tabularnewline
0.76 & 160.262854274744 & 5.97760397184333 \tabularnewline
0.77 & 161.487908103919 & 6.32796210738887 \tabularnewline
0.78 & 162.803687538437 & 6.66864998183533 \tabularnewline
0.79 & 164.210890408586 & 7.00113097028989 \tabularnewline
0.8 & 165.709220014408 & 7.32147062554412 \tabularnewline
0.81 & 167.296456582824 & 7.61852669056142 \tabularnewline
0.82 & 168.967407657144 & 7.87394851968439 \tabularnewline
0.83 & 170.712981326512 & 8.06411629996192 \tabularnewline
0.84 & 172.519616023110 & 8.16477115086014 \tabularnewline
0.85 & 174.369209958454 & 8.15553339594792 \tabularnewline
0.86 & 176.239551363818 & 8.0233859066202 \tabularnewline
0.87 & 178.105121067095 & 7.76422733093986 \tabularnewline
0.88 & 179.938097599103 & 7.3817755259403 \tabularnewline
0.89 & 181.709488281305 & 6.88500356085757 \tabularnewline
0.9 & 183.390502369446 & 6.28580021936886 \tabularnewline
0.91 & 184.954424158781 & 5.59912628237917 \tabularnewline
0.92 & 186.379102066724 & 4.84649559978824 \tabularnewline
0.93 & 187.649576172694 & 4.06171665200243 \tabularnewline
0.94 & 188.759481225352 & 3.29246078846809 \tabularnewline
0.95 & 189.709403878254 & 2.59093921052130 \tabularnewline
0.96 & 190.501467859622 & 1.98684948057959 \tabularnewline
0.97 & 191.132661913744 & 1.45473752241732 \tabularnewline
0.98 & 191.593280780383 & 0.929895815270084 \tabularnewline
0.99 & 191.876901423507 & 0.40320854812458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9446&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]120.113987262981[/C][C]4.88976846189424[/C][/ROW]
[ROW][C]0.02[/C][C]121.632918852615[/C][C]3.57191859178146[/C][/ROW]
[ROW][C]0.03[/C][C]123.082209223606[/C][C]2.41537845596070[/C][/ROW]
[ROW][C]0.04[/C][C]124.231777766404[/C][C]1.66084141357253[/C][/ROW]
[ROW][C]0.05[/C][C]125.072897003312[/C][C]1.30958566583575[/C][/ROW]
[ROW][C]0.06[/C][C]125.693417488769[/C][C]1.21325791269864[/C][/ROW]
[ROW][C]0.07[/C][C]126.186198872111[/C][C]1.22153141350580[/C][/ROW]
[ROW][C]0.08[/C][C]126.615165295466[/C][C]1.26261460783482[/C][/ROW]
[ROW][C]0.09[/C][C]127.015694466438[/C][C]1.31661441883910[/C][/ROW]
[ROW][C]0.1[/C][C]127.405259836726[/C][C]1.38111367029525[/C][/ROW]
[ROW][C]0.11[/C][C]127.792636898384[/C][C]1.45704251051524[/C][/ROW]
[ROW][C]0.12[/C][C]128.183120248185[/C][C]1.54495753417658[/C][/ROW]
[ROW][C]0.13[/C][C]128.580778354334[/C][C]1.64595245312197[/C][/ROW]
[ROW][C]0.14[/C][C]128.989189656246[/C][C]1.76096897349412[/C][/ROW]
[ROW][C]0.15[/C][C]129.411553773498[/C][C]1.89031189803018[/C][/ROW]
[ROW][C]0.16[/C][C]129.850561478206[/C][C]2.03210249965493[/C][/ROW]
[ROW][C]0.17[/C][C]130.308156474636[/C][C]2.18242926134590[/C][/ROW]
[ROW][C]0.18[/C][C]130.785254843116[/C][C]2.33475133894768[/C][/ROW]
[ROW][C]0.19[/C][C]131.281491625701[/C][C]2.48074574812086[/C][/ROW]
[ROW][C]0.2[/C][C]131.795070126679[/C][C]2.61110429120892[/C][/ROW]
[ROW][C]0.21[/C][C]132.322774897626[/C][C]2.71762376762952[/C][/ROW]
[ROW][C]0.22[/C][C]132.860176401751[/C][C]2.7931883776025[/C][/ROW]
[ROW][C]0.23[/C][C]133.402015114111[/C][C]2.83420325326609[/C][/ROW]
[ROW][C]0.24[/C][C]133.942716230056[/C][C]2.83993773655106[/C][/ROW]
[ROW][C]0.25[/C][C]134.476960770017[/C][C]2.81356756506204[/C][/ROW]
[ROW][C]0.26[/C][C]135.000228503304[/C][C]2.76151607858482[/C][/ROW]
[ROW][C]0.27[/C][C]135.509233358397[/C][C]2.69271711977150[/C][/ROW]
[ROW][C]0.28[/C][C]136.002190795485[/C][C]2.61781031274551[/C][/ROW]
[ROW][C]0.29[/C][C]136.478884915169[/C][C]2.54696115599894[/C][/ROW]
[ROW][C]0.3[/C][C]136.940535519600[/C][C]2.48957661593563[/C][/ROW]
[ROW][C]0.31[/C][C]137.389496229511[/C][C]2.45192647643399[/C][/ROW]
[ROW][C]0.32[/C][C]137.828838999203[/C][C]2.43746929263535[/C][/ROW]
[ROW][C]0.33[/C][C]138.261894291158[/C][C]2.44487175368151[/C][/ROW]
[ROW][C]0.34[/C][C]138.691818050647[/C][C]2.47053469944601[/C][/ROW]
[ROW][C]0.35[/C][C]139.121246847412[/C][C]2.50807857230295[/C][/ROW]
[ROW][C]0.36[/C][C]139.552083433336[/C][C]2.55094440112664[/C][/ROW]
[ROW][C]0.37[/C][C]139.985430240946[/C][C]2.59243419504324[/C][/ROW]
[ROW][C]0.38[/C][C]140.421662496370[/C][C]2.62812834355874[/C][/ROW]
[ROW][C]0.39[/C][C]140.860610075271[/C][C]2.65554845040243[/C][/ROW]
[ROW][C]0.4[/C][C]141.301801621331[/C][C]2.67442546341557[/C][/ROW]
[ROW][C]0.41[/C][C]141.744717999796[/C][C]2.68648866341275[/C][/ROW]
[ROW][C]0.42[/C][C]142.189005360484[/C][C]2.69526158129044[/C][/ROW]
[ROW][C]0.43[/C][C]142.634609683459[/C][C]2.70442226817976[/C][/ROW]
[ROW][C]0.44[/C][C]143.081812017296[/C][C]2.71764283284128[/C][/ROW]
[ROW][C]0.45[/C][C]143.531163219148[/C][C]2.7374457082348[/C][/ROW]
[ROW][C]0.46[/C][C]143.983335288736[/C][C]2.76400726701087[/C][/ROW]
[ROW][C]0.47[/C][C]144.438920348756[/C][C]2.79593914922260[/C][/ROW]
[ROW][C]0.48[/C][C]144.898216025049[/C][C]2.83013231222563[/C][/ROW]
[ROW][C]0.49[/C][C]145.361036783435[/C][C]2.8616103418592[/C][/ROW]
[ROW][C]0.5[/C][C]145.826585294084[/C][C]2.88542371397330[/C][/ROW]
[ROW][C]0.51[/C][C]146.293407690033[/C][C]2.89619571525141[/C][/ROW]
[ROW][C]0.52[/C][C]146.759443782704[/C][C]2.88962597706971[/C][/ROW]
[ROW][C]0.53[/C][C]147.222170120349[/C][C]2.86283674087149[/C][/ROW]
[ROW][C]0.54[/C][C]147.678822181605[/C][C]2.81461611474780[/C][/ROW]
[ROW][C]0.55[/C][C]148.126673410320[/C][C]2.74572073311247[/C][/ROW]
[ROW][C]0.56[/C][C]148.563343977418[/C][C]2.6591423655412[/C][/ROW]
[ROW][C]0.57[/C][C]148.987111171889[/C][C]2.55972126742187[/C][/ROW]
[ROW][C]0.58[/C][C]149.397195630817[/C][C]2.45434668743993[/C][/ROW]
[ROW][C]0.59[/C][C]149.794002199985[/C][C]2.35082757179815[/C][/ROW]
[ROW][C]0.6[/C][C]150.179299789877[/C][C]2.25863979563677[/C][/ROW]
[ROW][C]0.61[/C][C]150.556329875973[/C][C]2.18767656942791[/C][/ROW]
[ROW][C]0.62[/C][C]150.929837311886[/C][C]2.14814185406054[/C][/ROW]
[ROW][C]0.63[/C][C]151.306019504196[/C][C]2.14974060467014[/C][/ROW]
[ROW][C]0.64[/C][C]151.692391170678[/C][C]2.20052817814863[/C][/ROW]
[ROW][C]0.65[/C][C]152.097563121291[/C][C]2.30709469995338[/C][/ROW]
[ROW][C]0.66[/C][C]152.530936569053[/C][C]2.47229859987428[/C][/ROW]
[ROW][C]0.67[/C][C]153.002321168135[/C][C]2.69556508899888[/C][/ROW]
[ROW][C]0.68[/C][C]153.521496198637[/C][C]2.97290070868715[/C][/ROW]
[ROW][C]0.69[/C][C]154.097749250933[/C][C]3.29725316997937[/C][/ROW]
[ROW][C]0.7[/C][C]154.739442283270[/C][C]3.65857693125811[/C][/ROW]
[ROW][C]0.71[/C][C]155.453665706647[/C][C]4.04484249081445[/C][/ROW]
[ROW][C]0.72[/C][C]156.246040722906[/C][C]4.44390333245824[/C][/ROW]
[ROW][C]0.73[/C][C]157.120712951622[/C][C]4.84402413348256[/C][/ROW]
[ROW][C]0.74[/C][C]158.080544453224[/C][C]5.23601610955626[/C][/ROW]
[ROW][C]0.75[/C][C]159.127460629017[/C][C]5.6143234847425[/C][/ROW]
[ROW][C]0.76[/C][C]160.262854274744[/C][C]5.97760397184333[/C][/ROW]
[ROW][C]0.77[/C][C]161.487908103919[/C][C]6.32796210738887[/C][/ROW]
[ROW][C]0.78[/C][C]162.803687538437[/C][C]6.66864998183533[/C][/ROW]
[ROW][C]0.79[/C][C]164.210890408586[/C][C]7.00113097028989[/C][/ROW]
[ROW][C]0.8[/C][C]165.709220014408[/C][C]7.32147062554412[/C][/ROW]
[ROW][C]0.81[/C][C]167.296456582824[/C][C]7.61852669056142[/C][/ROW]
[ROW][C]0.82[/C][C]168.967407657144[/C][C]7.87394851968439[/C][/ROW]
[ROW][C]0.83[/C][C]170.712981326512[/C][C]8.06411629996192[/C][/ROW]
[ROW][C]0.84[/C][C]172.519616023110[/C][C]8.16477115086014[/C][/ROW]
[ROW][C]0.85[/C][C]174.369209958454[/C][C]8.15553339594792[/C][/ROW]
[ROW][C]0.86[/C][C]176.239551363818[/C][C]8.0233859066202[/C][/ROW]
[ROW][C]0.87[/C][C]178.105121067095[/C][C]7.76422733093986[/C][/ROW]
[ROW][C]0.88[/C][C]179.938097599103[/C][C]7.3817755259403[/C][/ROW]
[ROW][C]0.89[/C][C]181.709488281305[/C][C]6.88500356085757[/C][/ROW]
[ROW][C]0.9[/C][C]183.390502369446[/C][C]6.28580021936886[/C][/ROW]
[ROW][C]0.91[/C][C]184.954424158781[/C][C]5.59912628237917[/C][/ROW]
[ROW][C]0.92[/C][C]186.379102066724[/C][C]4.84649559978824[/C][/ROW]
[ROW][C]0.93[/C][C]187.649576172694[/C][C]4.06171665200243[/C][/ROW]
[ROW][C]0.94[/C][C]188.759481225352[/C][C]3.29246078846809[/C][/ROW]
[ROW][C]0.95[/C][C]189.709403878254[/C][C]2.59093921052130[/C][/ROW]
[ROW][C]0.96[/C][C]190.501467859622[/C][C]1.98684948057959[/C][/ROW]
[ROW][C]0.97[/C][C]191.132661913744[/C][C]1.45473752241732[/C][/ROW]
[ROW][C]0.98[/C][C]191.593280780383[/C][C]0.929895815270084[/C][/ROW]
[ROW][C]0.99[/C][C]191.876901423507[/C][C]0.40320854812458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9446&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
0.01120.1139872629814.88976846189424
0.02121.6329188526153.57191859178146
0.03123.0822092236062.41537845596070
0.04124.2317777664041.66084141357253
0.05125.0728970033121.30958566583575
0.06125.6934174887691.21325791269864
0.07126.1861988721111.22153141350580
0.08126.6151652954661.26261460783482
0.09127.0156944664381.31661441883910
0.1127.4052598367261.38111367029525
0.11127.7926368983841.45704251051524
0.12128.1831202481851.54495753417658
0.13128.5807783543341.64595245312197
0.14128.9891896562461.76096897349412
0.15129.4115537734981.89031189803018
0.16129.8505614782062.03210249965493
0.17130.3081564746362.18242926134590
0.18130.7852548431162.33475133894768
0.19131.2814916257012.48074574812086
0.2131.7950701266792.61110429120892
0.21132.3227748976262.71762376762952
0.22132.8601764017512.7931883776025
0.23133.4020151141112.83420325326609
0.24133.9427162300562.83993773655106
0.25134.4769607700172.81356756506204
0.26135.0002285033042.76151607858482
0.27135.5092333583972.69271711977150
0.28136.0021907954852.61781031274551
0.29136.4788849151692.54696115599894
0.3136.9405355196002.48957661593563
0.31137.3894962295112.45192647643399
0.32137.8288389992032.43746929263535
0.33138.2618942911582.44487175368151
0.34138.6918180506472.47053469944601
0.35139.1212468474122.50807857230295
0.36139.5520834333362.55094440112664
0.37139.9854302409462.59243419504324
0.38140.4216624963702.62812834355874
0.39140.8606100752712.65554845040243
0.4141.3018016213312.67442546341557
0.41141.7447179997962.68648866341275
0.42142.1890053604842.69526158129044
0.43142.6346096834592.70442226817976
0.44143.0818120172962.71764283284128
0.45143.5311632191482.7374457082348
0.46143.9833352887362.76400726701087
0.47144.4389203487562.79593914922260
0.48144.8982160250492.83013231222563
0.49145.3610367834352.8616103418592
0.5145.8265852940842.88542371397330
0.51146.2934076900332.89619571525141
0.52146.7594437827042.88962597706971
0.53147.2221701203492.86283674087149
0.54147.6788221816052.81461611474780
0.55148.1266734103202.74572073311247
0.56148.5633439774182.6591423655412
0.57148.9871111718892.55972126742187
0.58149.3971956308172.45434668743993
0.59149.7940021999852.35082757179815
0.6150.1792997898772.25863979563677
0.61150.5563298759732.18767656942791
0.62150.9298373118862.14814185406054
0.63151.3060195041962.14974060467014
0.64151.6923911706782.20052817814863
0.65152.0975631212912.30709469995338
0.66152.5309365690532.47229859987428
0.67153.0023211681352.69556508899888
0.68153.5214961986372.97290070868715
0.69154.0977492509333.29725316997937
0.7154.7394422832703.65857693125811
0.71155.4536657066474.04484249081445
0.72156.2460407229064.44390333245824
0.73157.1207129516224.84402413348256
0.74158.0805444532245.23601610955626
0.75159.1274606290175.6143234847425
0.76160.2628542747445.97760397184333
0.77161.4879081039196.32796210738887
0.78162.8036875384376.66864998183533
0.79164.2108904085867.00113097028989
0.8165.7092200144087.32147062554412
0.81167.2964565828247.61852669056142
0.82168.9674076571447.87394851968439
0.83170.7129813265128.06411629996192
0.84172.5196160231108.16477115086014
0.85174.3692099584548.15553339594792
0.86176.2395513638188.0233859066202
0.87178.1051210670957.76422733093986
0.88179.9380975991037.3817755259403
0.89181.7094882813056.88500356085757
0.9183.3905023694466.28580021936886
0.91184.9544241587815.59912628237917
0.92186.3791020667244.84649559978824
0.93187.6495761726944.06171665200243
0.94188.7594812253523.29246078846809
0.95189.7094038782542.59093921052130
0.96190.5014678596221.98684948057959
0.97191.1326619137441.45473752241732
0.98191.5932807803830.929895815270084
0.99191.8769014235070.40320854812458


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')