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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 computationFri, 07 Dec 2012 08:50:32 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/07/t1354888251ysdpyufrg5qcu89.htm/, Retrieved Thu, 25 Apr 2024 19:40:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197372, Retrieved Thu, 25 Apr 2024 19:40:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

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] [] [2012-12-07 13:50:32] [352070604de3ea74fb0d919fab6d8592] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.24
95.56
95.56
95.56
95.96
95.96
95.96
95.96
95.61
95.30
95.68
97.94
97.32
97.32
97.45
98.08
98.25
98.25
97.95
97.81
97.68
98.03
98.03
98.03
98.11
98.11
98.11
97.95
97.95
97.95
97.95
97.95
97.95
97.89
97.16
97.16
97.16
97.18
97.18
96.47
97.47
97.47
97.47
97.47
96.63
96.78
96.25
96.25
96.28
95.62
95.62
96.85
96.85
96.85
96.85
96.85
96.85
96.85
96.75
97.15
98.28
98.28
98.28
98.51
98.51
98.51
96.03
96.03
96.77
96.92
96.92
96.92

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197372&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197372&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197372&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.36520357110410.194533090347466
0.0295.44690794589850.119063390679849
0.0395.51120842684150.0659729994774748
0.0495.55292588844210.0458059528330799
0.0595.58136838260170.0512481143969241
0.0695.60631451785550.0685057867788114
0.0795.63360192026020.0908135304030711
0.0895.66566617874660.114343454983984
0.0995.70284686002270.135405973150876
0.195.7442623000160.151083344238794
0.1195.78838294701930.159808287711208
0.1295.8335297789830.162122229206036
0.1395.87831705144470.160322804369096
0.1495.92194810139540.1576509243294
0.1595.9642982036510.157088854787958
0.1696.00580054996080.160525471443404
0.1796.04721591814330.168247111043255
0.1896.08938225266040.179415889270788
0.1996.13301460261760.19283180647271
0.296.17858388282620.207281057209372
0.2196.2262680090950.221318428427432
0.2296.27595228791140.233816351997145
0.2396.32725637501510.243749606039652
0.2496.37957462084740.250187495923365
0.2596.4321264947380.252090717543335
0.2696.4840186936410.249150041400152
0.2796.53431957003930.241146045455493
0.2896.58214193546780.228316796160682
0.2996.62672548953120.211730031625191
0.396.6675077371560.192466802289429
0.3196.70417328287410.17180030317651
0.3296.73667521477060.151295051916074
0.3396.76522736511340.132373852952656
0.3496.79027092042540.116030449444289
0.3596.81242204185130.103398071689266
0.3696.83240850061530.0949857385827112
0.3796.85100312591120.0911939022281115
0.3896.86896071714440.0915580903044707
0.3996.88696359202080.0955694815941892
0.496.90557950484370.102159886587752
0.4196.92523437652770.110552293516225
0.4296.94620103431720.11956380778417
0.4396.96860382091670.128471358566952
0.4496.99243744512280.136672382412374
0.4597.01759691972630.143672562850171
0.4697.04391413301910.149312746482709
0.4797.07119586057820.153674778130743
0.4897.09925811439870.156877645187362
0.4997.1279527309740.159396252679457
0.597.15718384727210.161524002149352
0.5197.18691399395310.163732524496727
0.5297.21716140669050.166271037014983
0.5397.24799131233760.169301079990622
0.5497.27950408970720.172898731076525
0.5597.31182236645310.177250250140166
0.5697.34507766930680.182184128382673
0.5797.37939580799870.187810406300041
0.5897.4148793933120.193980902208122
0.5997.45158621851740.200370418091675
0.697.48950373743630.206719152424282
0.6197.52852216540990.212305444856336
0.6297.56841106025750.216420668822213
0.6397.60880571881890.218351638368183
0.6497.64920961906710.217262468901777
0.6597.6890171432440.212531980014558
0.6697.72755720055490.203921440369675
0.6797.76415392849210.191618104726452
0.6897.79819650705090.175862476832701
0.6997.82920737860560.157807918772219
0.797.85689760051280.138451530705038
0.7197.88119988275650.119030240222762
0.7297.90227369057980.100860729018347
0.7397.9204817616890.0849220802456558
0.7497.93634241959320.0721131672371746
0.7597.95046614087940.0628918099328125
0.7697.96348721911920.0573211372279021
0.7797.97600171596020.0549790319538498
0.7897.9885212325660.0550850879866575
0.7998.00144868418130.0567917805581134
0.898.01507769137210.0592716859594571
0.8198.02961198583610.0621718875679011
0.8298.04519609578210.0651343337942335
0.8398.06194460295170.0682539044569336
0.8498.0799560841350.0715241111041469
0.8598.09930159624660.0749950437224573
0.8698.11998815648770.0784160537849752
0.8798.14191519607830.0812021292938137
0.8898.16486229579680.082536109120359
0.8998.18855892690990.0818194821387033
0.998.21287350865260.079147380824663
0.9198.23809935959710.0758702269626308
0.9298.26520172043870.0750286162060401
0.9398.29576013248160.0801941307037267
0.9498.33131013873680.0918109576669547
0.9598.37203551748870.10393063874804
0.9698.4153712843660.106152754439717
0.9798.45574421911980.0897211096638999
0.9898.48657709672940.0561147384796055
0.9998.50407950094580.0201878213629506

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.3652035711041 & 0.194533090347466 \tabularnewline
0.02 & 95.4469079458985 & 0.119063390679849 \tabularnewline
0.03 & 95.5112084268415 & 0.0659729994774748 \tabularnewline
0.04 & 95.5529258884421 & 0.0458059528330799 \tabularnewline
0.05 & 95.5813683826017 & 0.0512481143969241 \tabularnewline
0.06 & 95.6063145178555 & 0.0685057867788114 \tabularnewline
0.07 & 95.6336019202602 & 0.0908135304030711 \tabularnewline
0.08 & 95.6656661787466 & 0.114343454983984 \tabularnewline
0.09 & 95.7028468600227 & 0.135405973150876 \tabularnewline
0.1 & 95.744262300016 & 0.151083344238794 \tabularnewline
0.11 & 95.7883829470193 & 0.159808287711208 \tabularnewline
0.12 & 95.833529778983 & 0.162122229206036 \tabularnewline
0.13 & 95.8783170514447 & 0.160322804369096 \tabularnewline
0.14 & 95.9219481013954 & 0.1576509243294 \tabularnewline
0.15 & 95.964298203651 & 0.157088854787958 \tabularnewline
0.16 & 96.0058005499608 & 0.160525471443404 \tabularnewline
0.17 & 96.0472159181433 & 0.168247111043255 \tabularnewline
0.18 & 96.0893822526604 & 0.179415889270788 \tabularnewline
0.19 & 96.1330146026176 & 0.19283180647271 \tabularnewline
0.2 & 96.1785838828262 & 0.207281057209372 \tabularnewline
0.21 & 96.226268009095 & 0.221318428427432 \tabularnewline
0.22 & 96.2759522879114 & 0.233816351997145 \tabularnewline
0.23 & 96.3272563750151 & 0.243749606039652 \tabularnewline
0.24 & 96.3795746208474 & 0.250187495923365 \tabularnewline
0.25 & 96.432126494738 & 0.252090717543335 \tabularnewline
0.26 & 96.484018693641 & 0.249150041400152 \tabularnewline
0.27 & 96.5343195700393 & 0.241146045455493 \tabularnewline
0.28 & 96.5821419354678 & 0.228316796160682 \tabularnewline
0.29 & 96.6267254895312 & 0.211730031625191 \tabularnewline
0.3 & 96.667507737156 & 0.192466802289429 \tabularnewline
0.31 & 96.7041732828741 & 0.17180030317651 \tabularnewline
0.32 & 96.7366752147706 & 0.151295051916074 \tabularnewline
0.33 & 96.7652273651134 & 0.132373852952656 \tabularnewline
0.34 & 96.7902709204254 & 0.116030449444289 \tabularnewline
0.35 & 96.8124220418513 & 0.103398071689266 \tabularnewline
0.36 & 96.8324085006153 & 0.0949857385827112 \tabularnewline
0.37 & 96.8510031259112 & 0.0911939022281115 \tabularnewline
0.38 & 96.8689607171444 & 0.0915580903044707 \tabularnewline
0.39 & 96.8869635920208 & 0.0955694815941892 \tabularnewline
0.4 & 96.9055795048437 & 0.102159886587752 \tabularnewline
0.41 & 96.9252343765277 & 0.110552293516225 \tabularnewline
0.42 & 96.9462010343172 & 0.11956380778417 \tabularnewline
0.43 & 96.9686038209167 & 0.128471358566952 \tabularnewline
0.44 & 96.9924374451228 & 0.136672382412374 \tabularnewline
0.45 & 97.0175969197263 & 0.143672562850171 \tabularnewline
0.46 & 97.0439141330191 & 0.149312746482709 \tabularnewline
0.47 & 97.0711958605782 & 0.153674778130743 \tabularnewline
0.48 & 97.0992581143987 & 0.156877645187362 \tabularnewline
0.49 & 97.127952730974 & 0.159396252679457 \tabularnewline
0.5 & 97.1571838472721 & 0.161524002149352 \tabularnewline
0.51 & 97.1869139939531 & 0.163732524496727 \tabularnewline
0.52 & 97.2171614066905 & 0.166271037014983 \tabularnewline
0.53 & 97.2479913123376 & 0.169301079990622 \tabularnewline
0.54 & 97.2795040897072 & 0.172898731076525 \tabularnewline
0.55 & 97.3118223664531 & 0.177250250140166 \tabularnewline
0.56 & 97.3450776693068 & 0.182184128382673 \tabularnewline
0.57 & 97.3793958079987 & 0.187810406300041 \tabularnewline
0.58 & 97.414879393312 & 0.193980902208122 \tabularnewline
0.59 & 97.4515862185174 & 0.200370418091675 \tabularnewline
0.6 & 97.4895037374363 & 0.206719152424282 \tabularnewline
0.61 & 97.5285221654099 & 0.212305444856336 \tabularnewline
0.62 & 97.5684110602575 & 0.216420668822213 \tabularnewline
0.63 & 97.6088057188189 & 0.218351638368183 \tabularnewline
0.64 & 97.6492096190671 & 0.217262468901777 \tabularnewline
0.65 & 97.689017143244 & 0.212531980014558 \tabularnewline
0.66 & 97.7275572005549 & 0.203921440369675 \tabularnewline
0.67 & 97.7641539284921 & 0.191618104726452 \tabularnewline
0.68 & 97.7981965070509 & 0.175862476832701 \tabularnewline
0.69 & 97.8292073786056 & 0.157807918772219 \tabularnewline
0.7 & 97.8568976005128 & 0.138451530705038 \tabularnewline
0.71 & 97.8811998827565 & 0.119030240222762 \tabularnewline
0.72 & 97.9022736905798 & 0.100860729018347 \tabularnewline
0.73 & 97.920481761689 & 0.0849220802456558 \tabularnewline
0.74 & 97.9363424195932 & 0.0721131672371746 \tabularnewline
0.75 & 97.9504661408794 & 0.0628918099328125 \tabularnewline
0.76 & 97.9634872191192 & 0.0573211372279021 \tabularnewline
0.77 & 97.9760017159602 & 0.0549790319538498 \tabularnewline
0.78 & 97.988521232566 & 0.0550850879866575 \tabularnewline
0.79 & 98.0014486841813 & 0.0567917805581134 \tabularnewline
0.8 & 98.0150776913721 & 0.0592716859594571 \tabularnewline
0.81 & 98.0296119858361 & 0.0621718875679011 \tabularnewline
0.82 & 98.0451960957821 & 0.0651343337942335 \tabularnewline
0.83 & 98.0619446029517 & 0.0682539044569336 \tabularnewline
0.84 & 98.079956084135 & 0.0715241111041469 \tabularnewline
0.85 & 98.0993015962466 & 0.0749950437224573 \tabularnewline
0.86 & 98.1199881564877 & 0.0784160537849752 \tabularnewline
0.87 & 98.1419151960783 & 0.0812021292938137 \tabularnewline
0.88 & 98.1648622957968 & 0.082536109120359 \tabularnewline
0.89 & 98.1885589269099 & 0.0818194821387033 \tabularnewline
0.9 & 98.2128735086526 & 0.079147380824663 \tabularnewline
0.91 & 98.2380993595971 & 0.0758702269626308 \tabularnewline
0.92 & 98.2652017204387 & 0.0750286162060401 \tabularnewline
0.93 & 98.2957601324816 & 0.0801941307037267 \tabularnewline
0.94 & 98.3313101387368 & 0.0918109576669547 \tabularnewline
0.95 & 98.3720355174887 & 0.10393063874804 \tabularnewline
0.96 & 98.415371284366 & 0.106152754439717 \tabularnewline
0.97 & 98.4557442191198 & 0.0897211096638999 \tabularnewline
0.98 & 98.4865770967294 & 0.0561147384796055 \tabularnewline
0.99 & 98.5040795009458 & 0.0201878213629506 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197372&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]95.3652035711041[/C][C]0.194533090347466[/C][/ROW]
[ROW][C]0.02[/C][C]95.4469079458985[/C][C]0.119063390679849[/C][/ROW]
[ROW][C]0.03[/C][C]95.5112084268415[/C][C]0.0659729994774748[/C][/ROW]
[ROW][C]0.04[/C][C]95.5529258884421[/C][C]0.0458059528330799[/C][/ROW]
[ROW][C]0.05[/C][C]95.5813683826017[/C][C]0.0512481143969241[/C][/ROW]
[ROW][C]0.06[/C][C]95.6063145178555[/C][C]0.0685057867788114[/C][/ROW]
[ROW][C]0.07[/C][C]95.6336019202602[/C][C]0.0908135304030711[/C][/ROW]
[ROW][C]0.08[/C][C]95.6656661787466[/C][C]0.114343454983984[/C][/ROW]
[ROW][C]0.09[/C][C]95.7028468600227[/C][C]0.135405973150876[/C][/ROW]
[ROW][C]0.1[/C][C]95.744262300016[/C][C]0.151083344238794[/C][/ROW]
[ROW][C]0.11[/C][C]95.7883829470193[/C][C]0.159808287711208[/C][/ROW]
[ROW][C]0.12[/C][C]95.833529778983[/C][C]0.162122229206036[/C][/ROW]
[ROW][C]0.13[/C][C]95.8783170514447[/C][C]0.160322804369096[/C][/ROW]
[ROW][C]0.14[/C][C]95.9219481013954[/C][C]0.1576509243294[/C][/ROW]
[ROW][C]0.15[/C][C]95.964298203651[/C][C]0.157088854787958[/C][/ROW]
[ROW][C]0.16[/C][C]96.0058005499608[/C][C]0.160525471443404[/C][/ROW]
[ROW][C]0.17[/C][C]96.0472159181433[/C][C]0.168247111043255[/C][/ROW]
[ROW][C]0.18[/C][C]96.0893822526604[/C][C]0.179415889270788[/C][/ROW]
[ROW][C]0.19[/C][C]96.1330146026176[/C][C]0.19283180647271[/C][/ROW]
[ROW][C]0.2[/C][C]96.1785838828262[/C][C]0.207281057209372[/C][/ROW]
[ROW][C]0.21[/C][C]96.226268009095[/C][C]0.221318428427432[/C][/ROW]
[ROW][C]0.22[/C][C]96.2759522879114[/C][C]0.233816351997145[/C][/ROW]
[ROW][C]0.23[/C][C]96.3272563750151[/C][C]0.243749606039652[/C][/ROW]
[ROW][C]0.24[/C][C]96.3795746208474[/C][C]0.250187495923365[/C][/ROW]
[ROW][C]0.25[/C][C]96.432126494738[/C][C]0.252090717543335[/C][/ROW]
[ROW][C]0.26[/C][C]96.484018693641[/C][C]0.249150041400152[/C][/ROW]
[ROW][C]0.27[/C][C]96.5343195700393[/C][C]0.241146045455493[/C][/ROW]
[ROW][C]0.28[/C][C]96.5821419354678[/C][C]0.228316796160682[/C][/ROW]
[ROW][C]0.29[/C][C]96.6267254895312[/C][C]0.211730031625191[/C][/ROW]
[ROW][C]0.3[/C][C]96.667507737156[/C][C]0.192466802289429[/C][/ROW]
[ROW][C]0.31[/C][C]96.7041732828741[/C][C]0.17180030317651[/C][/ROW]
[ROW][C]0.32[/C][C]96.7366752147706[/C][C]0.151295051916074[/C][/ROW]
[ROW][C]0.33[/C][C]96.7652273651134[/C][C]0.132373852952656[/C][/ROW]
[ROW][C]0.34[/C][C]96.7902709204254[/C][C]0.116030449444289[/C][/ROW]
[ROW][C]0.35[/C][C]96.8124220418513[/C][C]0.103398071689266[/C][/ROW]
[ROW][C]0.36[/C][C]96.8324085006153[/C][C]0.0949857385827112[/C][/ROW]
[ROW][C]0.37[/C][C]96.8510031259112[/C][C]0.0911939022281115[/C][/ROW]
[ROW][C]0.38[/C][C]96.8689607171444[/C][C]0.0915580903044707[/C][/ROW]
[ROW][C]0.39[/C][C]96.8869635920208[/C][C]0.0955694815941892[/C][/ROW]
[ROW][C]0.4[/C][C]96.9055795048437[/C][C]0.102159886587752[/C][/ROW]
[ROW][C]0.41[/C][C]96.9252343765277[/C][C]0.110552293516225[/C][/ROW]
[ROW][C]0.42[/C][C]96.9462010343172[/C][C]0.11956380778417[/C][/ROW]
[ROW][C]0.43[/C][C]96.9686038209167[/C][C]0.128471358566952[/C][/ROW]
[ROW][C]0.44[/C][C]96.9924374451228[/C][C]0.136672382412374[/C][/ROW]
[ROW][C]0.45[/C][C]97.0175969197263[/C][C]0.143672562850171[/C][/ROW]
[ROW][C]0.46[/C][C]97.0439141330191[/C][C]0.149312746482709[/C][/ROW]
[ROW][C]0.47[/C][C]97.0711958605782[/C][C]0.153674778130743[/C][/ROW]
[ROW][C]0.48[/C][C]97.0992581143987[/C][C]0.156877645187362[/C][/ROW]
[ROW][C]0.49[/C][C]97.127952730974[/C][C]0.159396252679457[/C][/ROW]
[ROW][C]0.5[/C][C]97.1571838472721[/C][C]0.161524002149352[/C][/ROW]
[ROW][C]0.51[/C][C]97.1869139939531[/C][C]0.163732524496727[/C][/ROW]
[ROW][C]0.52[/C][C]97.2171614066905[/C][C]0.166271037014983[/C][/ROW]
[ROW][C]0.53[/C][C]97.2479913123376[/C][C]0.169301079990622[/C][/ROW]
[ROW][C]0.54[/C][C]97.2795040897072[/C][C]0.172898731076525[/C][/ROW]
[ROW][C]0.55[/C][C]97.3118223664531[/C][C]0.177250250140166[/C][/ROW]
[ROW][C]0.56[/C][C]97.3450776693068[/C][C]0.182184128382673[/C][/ROW]
[ROW][C]0.57[/C][C]97.3793958079987[/C][C]0.187810406300041[/C][/ROW]
[ROW][C]0.58[/C][C]97.414879393312[/C][C]0.193980902208122[/C][/ROW]
[ROW][C]0.59[/C][C]97.4515862185174[/C][C]0.200370418091675[/C][/ROW]
[ROW][C]0.6[/C][C]97.4895037374363[/C][C]0.206719152424282[/C][/ROW]
[ROW][C]0.61[/C][C]97.5285221654099[/C][C]0.212305444856336[/C][/ROW]
[ROW][C]0.62[/C][C]97.5684110602575[/C][C]0.216420668822213[/C][/ROW]
[ROW][C]0.63[/C][C]97.6088057188189[/C][C]0.218351638368183[/C][/ROW]
[ROW][C]0.64[/C][C]97.6492096190671[/C][C]0.217262468901777[/C][/ROW]
[ROW][C]0.65[/C][C]97.689017143244[/C][C]0.212531980014558[/C][/ROW]
[ROW][C]0.66[/C][C]97.7275572005549[/C][C]0.203921440369675[/C][/ROW]
[ROW][C]0.67[/C][C]97.7641539284921[/C][C]0.191618104726452[/C][/ROW]
[ROW][C]0.68[/C][C]97.7981965070509[/C][C]0.175862476832701[/C][/ROW]
[ROW][C]0.69[/C][C]97.8292073786056[/C][C]0.157807918772219[/C][/ROW]
[ROW][C]0.7[/C][C]97.8568976005128[/C][C]0.138451530705038[/C][/ROW]
[ROW][C]0.71[/C][C]97.8811998827565[/C][C]0.119030240222762[/C][/ROW]
[ROW][C]0.72[/C][C]97.9022736905798[/C][C]0.100860729018347[/C][/ROW]
[ROW][C]0.73[/C][C]97.920481761689[/C][C]0.0849220802456558[/C][/ROW]
[ROW][C]0.74[/C][C]97.9363424195932[/C][C]0.0721131672371746[/C][/ROW]
[ROW][C]0.75[/C][C]97.9504661408794[/C][C]0.0628918099328125[/C][/ROW]
[ROW][C]0.76[/C][C]97.9634872191192[/C][C]0.0573211372279021[/C][/ROW]
[ROW][C]0.77[/C][C]97.9760017159602[/C][C]0.0549790319538498[/C][/ROW]
[ROW][C]0.78[/C][C]97.988521232566[/C][C]0.0550850879866575[/C][/ROW]
[ROW][C]0.79[/C][C]98.0014486841813[/C][C]0.0567917805581134[/C][/ROW]
[ROW][C]0.8[/C][C]98.0150776913721[/C][C]0.0592716859594571[/C][/ROW]
[ROW][C]0.81[/C][C]98.0296119858361[/C][C]0.0621718875679011[/C][/ROW]
[ROW][C]0.82[/C][C]98.0451960957821[/C][C]0.0651343337942335[/C][/ROW]
[ROW][C]0.83[/C][C]98.0619446029517[/C][C]0.0682539044569336[/C][/ROW]
[ROW][C]0.84[/C][C]98.079956084135[/C][C]0.0715241111041469[/C][/ROW]
[ROW][C]0.85[/C][C]98.0993015962466[/C][C]0.0749950437224573[/C][/ROW]
[ROW][C]0.86[/C][C]98.1199881564877[/C][C]0.0784160537849752[/C][/ROW]
[ROW][C]0.87[/C][C]98.1419151960783[/C][C]0.0812021292938137[/C][/ROW]
[ROW][C]0.88[/C][C]98.1648622957968[/C][C]0.082536109120359[/C][/ROW]
[ROW][C]0.89[/C][C]98.1885589269099[/C][C]0.0818194821387033[/C][/ROW]
[ROW][C]0.9[/C][C]98.2128735086526[/C][C]0.079147380824663[/C][/ROW]
[ROW][C]0.91[/C][C]98.2380993595971[/C][C]0.0758702269626308[/C][/ROW]
[ROW][C]0.92[/C][C]98.2652017204387[/C][C]0.0750286162060401[/C][/ROW]
[ROW][C]0.93[/C][C]98.2957601324816[/C][C]0.0801941307037267[/C][/ROW]
[ROW][C]0.94[/C][C]98.3313101387368[/C][C]0.0918109576669547[/C][/ROW]
[ROW][C]0.95[/C][C]98.3720355174887[/C][C]0.10393063874804[/C][/ROW]
[ROW][C]0.96[/C][C]98.415371284366[/C][C]0.106152754439717[/C][/ROW]
[ROW][C]0.97[/C][C]98.4557442191198[/C][C]0.0897211096638999[/C][/ROW]
[ROW][C]0.98[/C][C]98.4865770967294[/C][C]0.0561147384796055[/C][/ROW]
[ROW][C]0.99[/C][C]98.5040795009458[/C][C]0.0201878213629506[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197372&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197372&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
0.0195.36520357110410.194533090347466
0.0295.44690794589850.119063390679849
0.0395.51120842684150.0659729994774748
0.0495.55292588844210.0458059528330799
0.0595.58136838260170.0512481143969241
0.0695.60631451785550.0685057867788114
0.0795.63360192026020.0908135304030711
0.0895.66566617874660.114343454983984
0.0995.70284686002270.135405973150876
0.195.7442623000160.151083344238794
0.1195.78838294701930.159808287711208
0.1295.8335297789830.162122229206036
0.1395.87831705144470.160322804369096
0.1495.92194810139540.1576509243294
0.1595.9642982036510.157088854787958
0.1696.00580054996080.160525471443404
0.1796.04721591814330.168247111043255
0.1896.08938225266040.179415889270788
0.1996.13301460261760.19283180647271
0.296.17858388282620.207281057209372
0.2196.2262680090950.221318428427432
0.2296.27595228791140.233816351997145
0.2396.32725637501510.243749606039652
0.2496.37957462084740.250187495923365
0.2596.4321264947380.252090717543335
0.2696.4840186936410.249150041400152
0.2796.53431957003930.241146045455493
0.2896.58214193546780.228316796160682
0.2996.62672548953120.211730031625191
0.396.6675077371560.192466802289429
0.3196.70417328287410.17180030317651
0.3296.73667521477060.151295051916074
0.3396.76522736511340.132373852952656
0.3496.79027092042540.116030449444289
0.3596.81242204185130.103398071689266
0.3696.83240850061530.0949857385827112
0.3796.85100312591120.0911939022281115
0.3896.86896071714440.0915580903044707
0.3996.88696359202080.0955694815941892
0.496.90557950484370.102159886587752
0.4196.92523437652770.110552293516225
0.4296.94620103431720.11956380778417
0.4396.96860382091670.128471358566952
0.4496.99243744512280.136672382412374
0.4597.01759691972630.143672562850171
0.4697.04391413301910.149312746482709
0.4797.07119586057820.153674778130743
0.4897.09925811439870.156877645187362
0.4997.1279527309740.159396252679457
0.597.15718384727210.161524002149352
0.5197.18691399395310.163732524496727
0.5297.21716140669050.166271037014983
0.5397.24799131233760.169301079990622
0.5497.27950408970720.172898731076525
0.5597.31182236645310.177250250140166
0.5697.34507766930680.182184128382673
0.5797.37939580799870.187810406300041
0.5897.4148793933120.193980902208122
0.5997.45158621851740.200370418091675
0.697.48950373743630.206719152424282
0.6197.52852216540990.212305444856336
0.6297.56841106025750.216420668822213
0.6397.60880571881890.218351638368183
0.6497.64920961906710.217262468901777
0.6597.6890171432440.212531980014558
0.6697.72755720055490.203921440369675
0.6797.76415392849210.191618104726452
0.6897.79819650705090.175862476832701
0.6997.82920737860560.157807918772219
0.797.85689760051280.138451530705038
0.7197.88119988275650.119030240222762
0.7297.90227369057980.100860729018347
0.7397.9204817616890.0849220802456558
0.7497.93634241959320.0721131672371746
0.7597.95046614087940.0628918099328125
0.7697.96348721911920.0573211372279021
0.7797.97600171596020.0549790319538498
0.7897.9885212325660.0550850879866575
0.7998.00144868418130.0567917805581134
0.898.01507769137210.0592716859594571
0.8198.02961198583610.0621718875679011
0.8298.04519609578210.0651343337942335
0.8398.06194460295170.0682539044569336
0.8498.0799560841350.0715241111041469
0.8598.09930159624660.0749950437224573
0.8698.11998815648770.0784160537849752
0.8798.14191519607830.0812021292938137
0.8898.16486229579680.082536109120359
0.8998.18855892690990.0818194821387033
0.998.21287350865260.079147380824663
0.9198.23809935959710.0758702269626308
0.9298.26520172043870.0750286162060401
0.9398.29576013248160.0801941307037267
0.9498.33131013873680.0918109576669547
0.9598.37203551748870.10393063874804
0.9698.4153712843660.106152754439717
0.9798.45574421911980.0897211096638999
0.9898.48657709672940.0561147384796055
0.9998.50407950094580.0201878213629506


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')