FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Feb 2015 14:16:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/09/t1423491508mieh8uw0jzu0sfi.htm/, Retrieved Sat, 18 May 2024 04:28:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276896, Retrieved Sat, 18 May 2024 04:28:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [] [2015-02-09 14:16:00] [10a961572d82585f4ece1fe77e85ff9b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.86
96.89
96.9
96.94
96.88
96.89
96.89
96.95
97.03
97.29
97.37
97.41
97.41
97.32
97.33
97.38
97.47
97.5
97.5
97.58
97.7
97.9
97.98
98.03
98.03
97.94
98.12
98.19
98.34
98.42
98.43
98.45
98.77
99.24
99.46
99.54
99.55
99.24
99.43
99.47
99.57
99.62
99.64
99.75
99.85
100.28
100.52
100.57
100.57
100.27
100.27
100.18
100.16
100.18
100.18
100.59
100.69
101.06
101.15
101.16
101.16
100.81
100.94
101.13
101.29
101.34
101.35
101.7
102.05
102.48
102.66
102.72
102.73
102.18
102.22
102.37
102.53
102.61
102.62
103
103.17
103.52
103.69
103.73
99.57
99.09
99.14
99.36
99.6
99.65
99.8
100.15
100.45
100.89
101.13
101.17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276896&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276896&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.86849297981340.0155924760315977
0.0296.8795418315540.0123702978883353
0.0396.89004203429980.0174999548202652
0.0496.90295738184650.0346104921406269
0.0596.92299670453660.0624719835320765
0.0696.95374437338060.0975396346727196
0.0796.9964016916960.132904791329815
0.0897.04941381139750.160488418434807
0.0997.10896398930320.17469585410118
0.197.17022958117920.174375398987711
0.1197.22890291149050.163155232963809
0.1297.28234615335610.147406044263637
0.1397.33000065875430.134065170514537
0.1497.37308064893460.128369920782589
0.1597.41386039607910.132659957135099
0.1697.4549028004210.145977363239863
0.1797.49845500083180.166056899956978
0.1897.54608935107120.189545143558849
0.1997.59857608733250.213442874288817
0.297.65594157022990.235378523488173
0.2197.71766096733080.253873447380899
0.2297.78293033601820.268428830459119
0.2397.85095545480370.280345607136155
0.2497.92119263743150.291021139777769
0.2597.99348904602830.30287636393503
0.2698.06809669695490.317487769991912
0.2798.14556700131180.336022852435489
0.2898.22656042463590.358213397945109
0.2998.31162130067180.38256006339342
0.398.40096946971860.406827247025074
0.3198.49435121235490.428432006337499
0.3298.59097644433670.444745027059692
0.3398.68955121239950.453565758636482
0.3498.78839694498980.453265351554863
0.3598.88563294593460.443349750121296
0.3698.9793885944170.424383676159486
0.3799.06800865460810.397965719801441
0.3899.15021973783180.366189818809379
0.3999.2252369497930.331751506693849
0.499.29280379169590.296973260127457
0.4199.35317134948160.264280167009822
0.4299.40703134293710.235763210169446
0.4399.45542031877140.21272054380899
0.4499.49961000134840.196283309534746
0.4599.54099398232490.187112459515057
0.4699.58097634725890.184815067411544
0.4799.62086555375050.188959410636273
0.4899.66177749586440.197797737919751
0.4999.7045543144170.210106403895001
0.599.74970823160320.223977343843439
0.5199.79740039393680.237157049249031
0.5299.84746195589980.248356082627855
0.5399.8994582856520.256362561503401
0.5499.95278857933520.260594244195237
0.55100.0068048337550.261263481766683
0.56100.0609288596480.258879667361039
0.57100.1147458799690.254783675210977
0.58100.1680586793210.250371216565537
0.59100.2208957434810.246649152356344
0.6100.2734773719270.244600580538287
0.61100.3261520257740.244543920634315
0.62100.3793188260680.24671022369732
0.63100.4333507149920.250329517592352
0.64100.4885279769420.254913782312168
0.65100.544986505950.259851079318604
0.66100.6026822028030.26408488490018
0.67100.6613735181440.266663562615644
0.68100.7206275986060.266850028741628
0.69100.7798590884770.264014472951091
0.7100.8384111151940.25759791140343
0.71100.8956829684120.248146493069891
0.72100.9512981335220.236703977473877
0.73101.0052916425070.225379740383541
0.74101.0582808590060.216863854483488
0.75101.1115732069120.214702689303443
0.76101.1671621632020.222013567445869
0.77101.2275725506860.24103711823712
0.78101.2955401011930.271699268931242
0.79101.3735482945120.311270387871438
0.8101.4632926288050.355230802192973
0.81101.565186508470.397041529162344
0.82101.6780449851480.430257571457591
0.83101.7990637796840.449049856290276
0.84101.9241445281050.449546935124596
0.85102.0485193698110.431304333894176
0.86102.1675383078650.396659263228246
0.87102.2774466276480.35075751359679
0.88102.3760199530690.299678206868091
0.89102.4630194770670.25042301423143
0.9102.5405148179790.209344059326278
0.91102.6131193711920.183354763880813
0.92102.688050421510.179060529600065
0.93102.7746974339990.199712949289439
0.94102.8831659708710.240908142559804
0.95103.0211999658970.289763131822451
0.96103.1892001865260.325051766839223
0.97103.3743925404160.31891537638844
0.98103.5483122529020.248428586242429
0.99103.6745907195180.127040834100137

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.8684929798134 & 0.0155924760315977 \tabularnewline
0.02 & 96.879541831554 & 0.0123702978883353 \tabularnewline
0.03 & 96.8900420342998 & 0.0174999548202652 \tabularnewline
0.04 & 96.9029573818465 & 0.0346104921406269 \tabularnewline
0.05 & 96.9229967045366 & 0.0624719835320765 \tabularnewline
0.06 & 96.9537443733806 & 0.0975396346727196 \tabularnewline
0.07 & 96.996401691696 & 0.132904791329815 \tabularnewline
0.08 & 97.0494138113975 & 0.160488418434807 \tabularnewline
0.09 & 97.1089639893032 & 0.17469585410118 \tabularnewline
0.1 & 97.1702295811792 & 0.174375398987711 \tabularnewline
0.11 & 97.2289029114905 & 0.163155232963809 \tabularnewline
0.12 & 97.2823461533561 & 0.147406044263637 \tabularnewline
0.13 & 97.3300006587543 & 0.134065170514537 \tabularnewline
0.14 & 97.3730806489346 & 0.128369920782589 \tabularnewline
0.15 & 97.4138603960791 & 0.132659957135099 \tabularnewline
0.16 & 97.454902800421 & 0.145977363239863 \tabularnewline
0.17 & 97.4984550008318 & 0.166056899956978 \tabularnewline
0.18 & 97.5460893510712 & 0.189545143558849 \tabularnewline
0.19 & 97.5985760873325 & 0.213442874288817 \tabularnewline
0.2 & 97.6559415702299 & 0.235378523488173 \tabularnewline
0.21 & 97.7176609673308 & 0.253873447380899 \tabularnewline
0.22 & 97.7829303360182 & 0.268428830459119 \tabularnewline
0.23 & 97.8509554548037 & 0.280345607136155 \tabularnewline
0.24 & 97.9211926374315 & 0.291021139777769 \tabularnewline
0.25 & 97.9934890460283 & 0.30287636393503 \tabularnewline
0.26 & 98.0680966969549 & 0.317487769991912 \tabularnewline
0.27 & 98.1455670013118 & 0.336022852435489 \tabularnewline
0.28 & 98.2265604246359 & 0.358213397945109 \tabularnewline
0.29 & 98.3116213006718 & 0.38256006339342 \tabularnewline
0.3 & 98.4009694697186 & 0.406827247025074 \tabularnewline
0.31 & 98.4943512123549 & 0.428432006337499 \tabularnewline
0.32 & 98.5909764443367 & 0.444745027059692 \tabularnewline
0.33 & 98.6895512123995 & 0.453565758636482 \tabularnewline
0.34 & 98.7883969449898 & 0.453265351554863 \tabularnewline
0.35 & 98.8856329459346 & 0.443349750121296 \tabularnewline
0.36 & 98.979388594417 & 0.424383676159486 \tabularnewline
0.37 & 99.0680086546081 & 0.397965719801441 \tabularnewline
0.38 & 99.1502197378318 & 0.366189818809379 \tabularnewline
0.39 & 99.225236949793 & 0.331751506693849 \tabularnewline
0.4 & 99.2928037916959 & 0.296973260127457 \tabularnewline
0.41 & 99.3531713494816 & 0.264280167009822 \tabularnewline
0.42 & 99.4070313429371 & 0.235763210169446 \tabularnewline
0.43 & 99.4554203187714 & 0.21272054380899 \tabularnewline
0.44 & 99.4996100013484 & 0.196283309534746 \tabularnewline
0.45 & 99.5409939823249 & 0.187112459515057 \tabularnewline
0.46 & 99.5809763472589 & 0.184815067411544 \tabularnewline
0.47 & 99.6208655537505 & 0.188959410636273 \tabularnewline
0.48 & 99.6617774958644 & 0.197797737919751 \tabularnewline
0.49 & 99.704554314417 & 0.210106403895001 \tabularnewline
0.5 & 99.7497082316032 & 0.223977343843439 \tabularnewline
0.51 & 99.7974003939368 & 0.237157049249031 \tabularnewline
0.52 & 99.8474619558998 & 0.248356082627855 \tabularnewline
0.53 & 99.899458285652 & 0.256362561503401 \tabularnewline
0.54 & 99.9527885793352 & 0.260594244195237 \tabularnewline
0.55 & 100.006804833755 & 0.261263481766683 \tabularnewline
0.56 & 100.060928859648 & 0.258879667361039 \tabularnewline
0.57 & 100.114745879969 & 0.254783675210977 \tabularnewline
0.58 & 100.168058679321 & 0.250371216565537 \tabularnewline
0.59 & 100.220895743481 & 0.246649152356344 \tabularnewline
0.6 & 100.273477371927 & 0.244600580538287 \tabularnewline
0.61 & 100.326152025774 & 0.244543920634315 \tabularnewline
0.62 & 100.379318826068 & 0.24671022369732 \tabularnewline
0.63 & 100.433350714992 & 0.250329517592352 \tabularnewline
0.64 & 100.488527976942 & 0.254913782312168 \tabularnewline
0.65 & 100.54498650595 & 0.259851079318604 \tabularnewline
0.66 & 100.602682202803 & 0.26408488490018 \tabularnewline
0.67 & 100.661373518144 & 0.266663562615644 \tabularnewline
0.68 & 100.720627598606 & 0.266850028741628 \tabularnewline
0.69 & 100.779859088477 & 0.264014472951091 \tabularnewline
0.7 & 100.838411115194 & 0.25759791140343 \tabularnewline
0.71 & 100.895682968412 & 0.248146493069891 \tabularnewline
0.72 & 100.951298133522 & 0.236703977473877 \tabularnewline
0.73 & 101.005291642507 & 0.225379740383541 \tabularnewline
0.74 & 101.058280859006 & 0.216863854483488 \tabularnewline
0.75 & 101.111573206912 & 0.214702689303443 \tabularnewline
0.76 & 101.167162163202 & 0.222013567445869 \tabularnewline
0.77 & 101.227572550686 & 0.24103711823712 \tabularnewline
0.78 & 101.295540101193 & 0.271699268931242 \tabularnewline
0.79 & 101.373548294512 & 0.311270387871438 \tabularnewline
0.8 & 101.463292628805 & 0.355230802192973 \tabularnewline
0.81 & 101.56518650847 & 0.397041529162344 \tabularnewline
0.82 & 101.678044985148 & 0.430257571457591 \tabularnewline
0.83 & 101.799063779684 & 0.449049856290276 \tabularnewline
0.84 & 101.924144528105 & 0.449546935124596 \tabularnewline
0.85 & 102.048519369811 & 0.431304333894176 \tabularnewline
0.86 & 102.167538307865 & 0.396659263228246 \tabularnewline
0.87 & 102.277446627648 & 0.35075751359679 \tabularnewline
0.88 & 102.376019953069 & 0.299678206868091 \tabularnewline
0.89 & 102.463019477067 & 0.25042301423143 \tabularnewline
0.9 & 102.540514817979 & 0.209344059326278 \tabularnewline
0.91 & 102.613119371192 & 0.183354763880813 \tabularnewline
0.92 & 102.68805042151 & 0.179060529600065 \tabularnewline
0.93 & 102.774697433999 & 0.199712949289439 \tabularnewline
0.94 & 102.883165970871 & 0.240908142559804 \tabularnewline
0.95 & 103.021199965897 & 0.289763131822451 \tabularnewline
0.96 & 103.189200186526 & 0.325051766839223 \tabularnewline
0.97 & 103.374392540416 & 0.31891537638844 \tabularnewline
0.98 & 103.548312252902 & 0.248428586242429 \tabularnewline
0.99 & 103.674590719518 & 0.127040834100137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276896&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]96.8684929798134[/C][C]0.0155924760315977[/C][/ROW]
[ROW][C]0.02[/C][C]96.879541831554[/C][C]0.0123702978883353[/C][/ROW]
[ROW][C]0.03[/C][C]96.8900420342998[/C][C]0.0174999548202652[/C][/ROW]
[ROW][C]0.04[/C][C]96.9029573818465[/C][C]0.0346104921406269[/C][/ROW]
[ROW][C]0.05[/C][C]96.9229967045366[/C][C]0.0624719835320765[/C][/ROW]
[ROW][C]0.06[/C][C]96.9537443733806[/C][C]0.0975396346727196[/C][/ROW]
[ROW][C]0.07[/C][C]96.996401691696[/C][C]0.132904791329815[/C][/ROW]
[ROW][C]0.08[/C][C]97.0494138113975[/C][C]0.160488418434807[/C][/ROW]
[ROW][C]0.09[/C][C]97.1089639893032[/C][C]0.17469585410118[/C][/ROW]
[ROW][C]0.1[/C][C]97.1702295811792[/C][C]0.174375398987711[/C][/ROW]
[ROW][C]0.11[/C][C]97.2289029114905[/C][C]0.163155232963809[/C][/ROW]
[ROW][C]0.12[/C][C]97.2823461533561[/C][C]0.147406044263637[/C][/ROW]
[ROW][C]0.13[/C][C]97.3300006587543[/C][C]0.134065170514537[/C][/ROW]
[ROW][C]0.14[/C][C]97.3730806489346[/C][C]0.128369920782589[/C][/ROW]
[ROW][C]0.15[/C][C]97.4138603960791[/C][C]0.132659957135099[/C][/ROW]
[ROW][C]0.16[/C][C]97.454902800421[/C][C]0.145977363239863[/C][/ROW]
[ROW][C]0.17[/C][C]97.4984550008318[/C][C]0.166056899956978[/C][/ROW]
[ROW][C]0.18[/C][C]97.5460893510712[/C][C]0.189545143558849[/C][/ROW]
[ROW][C]0.19[/C][C]97.5985760873325[/C][C]0.213442874288817[/C][/ROW]
[ROW][C]0.2[/C][C]97.6559415702299[/C][C]0.235378523488173[/C][/ROW]
[ROW][C]0.21[/C][C]97.7176609673308[/C][C]0.253873447380899[/C][/ROW]
[ROW][C]0.22[/C][C]97.7829303360182[/C][C]0.268428830459119[/C][/ROW]
[ROW][C]0.23[/C][C]97.8509554548037[/C][C]0.280345607136155[/C][/ROW]
[ROW][C]0.24[/C][C]97.9211926374315[/C][C]0.291021139777769[/C][/ROW]
[ROW][C]0.25[/C][C]97.9934890460283[/C][C]0.30287636393503[/C][/ROW]
[ROW][C]0.26[/C][C]98.0680966969549[/C][C]0.317487769991912[/C][/ROW]
[ROW][C]0.27[/C][C]98.1455670013118[/C][C]0.336022852435489[/C][/ROW]
[ROW][C]0.28[/C][C]98.2265604246359[/C][C]0.358213397945109[/C][/ROW]
[ROW][C]0.29[/C][C]98.3116213006718[/C][C]0.38256006339342[/C][/ROW]
[ROW][C]0.3[/C][C]98.4009694697186[/C][C]0.406827247025074[/C][/ROW]
[ROW][C]0.31[/C][C]98.4943512123549[/C][C]0.428432006337499[/C][/ROW]
[ROW][C]0.32[/C][C]98.5909764443367[/C][C]0.444745027059692[/C][/ROW]
[ROW][C]0.33[/C][C]98.6895512123995[/C][C]0.453565758636482[/C][/ROW]
[ROW][C]0.34[/C][C]98.7883969449898[/C][C]0.453265351554863[/C][/ROW]
[ROW][C]0.35[/C][C]98.8856329459346[/C][C]0.443349750121296[/C][/ROW]
[ROW][C]0.36[/C][C]98.979388594417[/C][C]0.424383676159486[/C][/ROW]
[ROW][C]0.37[/C][C]99.0680086546081[/C][C]0.397965719801441[/C][/ROW]
[ROW][C]0.38[/C][C]99.1502197378318[/C][C]0.366189818809379[/C][/ROW]
[ROW][C]0.39[/C][C]99.225236949793[/C][C]0.331751506693849[/C][/ROW]
[ROW][C]0.4[/C][C]99.2928037916959[/C][C]0.296973260127457[/C][/ROW]
[ROW][C]0.41[/C][C]99.3531713494816[/C][C]0.264280167009822[/C][/ROW]
[ROW][C]0.42[/C][C]99.4070313429371[/C][C]0.235763210169446[/C][/ROW]
[ROW][C]0.43[/C][C]99.4554203187714[/C][C]0.21272054380899[/C][/ROW]
[ROW][C]0.44[/C][C]99.4996100013484[/C][C]0.196283309534746[/C][/ROW]
[ROW][C]0.45[/C][C]99.5409939823249[/C][C]0.187112459515057[/C][/ROW]
[ROW][C]0.46[/C][C]99.5809763472589[/C][C]0.184815067411544[/C][/ROW]
[ROW][C]0.47[/C][C]99.6208655537505[/C][C]0.188959410636273[/C][/ROW]
[ROW][C]0.48[/C][C]99.6617774958644[/C][C]0.197797737919751[/C][/ROW]
[ROW][C]0.49[/C][C]99.704554314417[/C][C]0.210106403895001[/C][/ROW]
[ROW][C]0.5[/C][C]99.7497082316032[/C][C]0.223977343843439[/C][/ROW]
[ROW][C]0.51[/C][C]99.7974003939368[/C][C]0.237157049249031[/C][/ROW]
[ROW][C]0.52[/C][C]99.8474619558998[/C][C]0.248356082627855[/C][/ROW]
[ROW][C]0.53[/C][C]99.899458285652[/C][C]0.256362561503401[/C][/ROW]
[ROW][C]0.54[/C][C]99.9527885793352[/C][C]0.260594244195237[/C][/ROW]
[ROW][C]0.55[/C][C]100.006804833755[/C][C]0.261263481766683[/C][/ROW]
[ROW][C]0.56[/C][C]100.060928859648[/C][C]0.258879667361039[/C][/ROW]
[ROW][C]0.57[/C][C]100.114745879969[/C][C]0.254783675210977[/C][/ROW]
[ROW][C]0.58[/C][C]100.168058679321[/C][C]0.250371216565537[/C][/ROW]
[ROW][C]0.59[/C][C]100.220895743481[/C][C]0.246649152356344[/C][/ROW]
[ROW][C]0.6[/C][C]100.273477371927[/C][C]0.244600580538287[/C][/ROW]
[ROW][C]0.61[/C][C]100.326152025774[/C][C]0.244543920634315[/C][/ROW]
[ROW][C]0.62[/C][C]100.379318826068[/C][C]0.24671022369732[/C][/ROW]
[ROW][C]0.63[/C][C]100.433350714992[/C][C]0.250329517592352[/C][/ROW]
[ROW][C]0.64[/C][C]100.488527976942[/C][C]0.254913782312168[/C][/ROW]
[ROW][C]0.65[/C][C]100.54498650595[/C][C]0.259851079318604[/C][/ROW]
[ROW][C]0.66[/C][C]100.602682202803[/C][C]0.26408488490018[/C][/ROW]
[ROW][C]0.67[/C][C]100.661373518144[/C][C]0.266663562615644[/C][/ROW]
[ROW][C]0.68[/C][C]100.720627598606[/C][C]0.266850028741628[/C][/ROW]
[ROW][C]0.69[/C][C]100.779859088477[/C][C]0.264014472951091[/C][/ROW]
[ROW][C]0.7[/C][C]100.838411115194[/C][C]0.25759791140343[/C][/ROW]
[ROW][C]0.71[/C][C]100.895682968412[/C][C]0.248146493069891[/C][/ROW]
[ROW][C]0.72[/C][C]100.951298133522[/C][C]0.236703977473877[/C][/ROW]
[ROW][C]0.73[/C][C]101.005291642507[/C][C]0.225379740383541[/C][/ROW]
[ROW][C]0.74[/C][C]101.058280859006[/C][C]0.216863854483488[/C][/ROW]
[ROW][C]0.75[/C][C]101.111573206912[/C][C]0.214702689303443[/C][/ROW]
[ROW][C]0.76[/C][C]101.167162163202[/C][C]0.222013567445869[/C][/ROW]
[ROW][C]0.77[/C][C]101.227572550686[/C][C]0.24103711823712[/C][/ROW]
[ROW][C]0.78[/C][C]101.295540101193[/C][C]0.271699268931242[/C][/ROW]
[ROW][C]0.79[/C][C]101.373548294512[/C][C]0.311270387871438[/C][/ROW]
[ROW][C]0.8[/C][C]101.463292628805[/C][C]0.355230802192973[/C][/ROW]
[ROW][C]0.81[/C][C]101.56518650847[/C][C]0.397041529162344[/C][/ROW]
[ROW][C]0.82[/C][C]101.678044985148[/C][C]0.430257571457591[/C][/ROW]
[ROW][C]0.83[/C][C]101.799063779684[/C][C]0.449049856290276[/C][/ROW]
[ROW][C]0.84[/C][C]101.924144528105[/C][C]0.449546935124596[/C][/ROW]
[ROW][C]0.85[/C][C]102.048519369811[/C][C]0.431304333894176[/C][/ROW]
[ROW][C]0.86[/C][C]102.167538307865[/C][C]0.396659263228246[/C][/ROW]
[ROW][C]0.87[/C][C]102.277446627648[/C][C]0.35075751359679[/C][/ROW]
[ROW][C]0.88[/C][C]102.376019953069[/C][C]0.299678206868091[/C][/ROW]
[ROW][C]0.89[/C][C]102.463019477067[/C][C]0.25042301423143[/C][/ROW]
[ROW][C]0.9[/C][C]102.540514817979[/C][C]0.209344059326278[/C][/ROW]
[ROW][C]0.91[/C][C]102.613119371192[/C][C]0.183354763880813[/C][/ROW]
[ROW][C]0.92[/C][C]102.68805042151[/C][C]0.179060529600065[/C][/ROW]
[ROW][C]0.93[/C][C]102.774697433999[/C][C]0.199712949289439[/C][/ROW]
[ROW][C]0.94[/C][C]102.883165970871[/C][C]0.240908142559804[/C][/ROW]
[ROW][C]0.95[/C][C]103.021199965897[/C][C]0.289763131822451[/C][/ROW]
[ROW][C]0.96[/C][C]103.189200186526[/C][C]0.325051766839223[/C][/ROW]
[ROW][C]0.97[/C][C]103.374392540416[/C][C]0.31891537638844[/C][/ROW]
[ROW][C]0.98[/C][C]103.548312252902[/C][C]0.248428586242429[/C][/ROW]
[ROW][C]0.99[/C][C]103.674590719518[/C][C]0.127040834100137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276896&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
0.0196.86849297981340.0155924760315977
0.0296.8795418315540.0123702978883353
0.0396.89004203429980.0174999548202652
0.0496.90295738184650.0346104921406269
0.0596.92299670453660.0624719835320765
0.0696.95374437338060.0975396346727196
0.0796.9964016916960.132904791329815
0.0897.04941381139750.160488418434807
0.0997.10896398930320.17469585410118
0.197.17022958117920.174375398987711
0.1197.22890291149050.163155232963809
0.1297.28234615335610.147406044263637
0.1397.33000065875430.134065170514537
0.1497.37308064893460.128369920782589
0.1597.41386039607910.132659957135099
0.1697.4549028004210.145977363239863
0.1797.49845500083180.166056899956978
0.1897.54608935107120.189545143558849
0.1997.59857608733250.213442874288817
0.297.65594157022990.235378523488173
0.2197.71766096733080.253873447380899
0.2297.78293033601820.268428830459119
0.2397.85095545480370.280345607136155
0.2497.92119263743150.291021139777769
0.2597.99348904602830.30287636393503
0.2698.06809669695490.317487769991912
0.2798.14556700131180.336022852435489
0.2898.22656042463590.358213397945109
0.2998.31162130067180.38256006339342
0.398.40096946971860.406827247025074
0.3198.49435121235490.428432006337499
0.3298.59097644433670.444745027059692
0.3398.68955121239950.453565758636482
0.3498.78839694498980.453265351554863
0.3598.88563294593460.443349750121296
0.3698.9793885944170.424383676159486
0.3799.06800865460810.397965719801441
0.3899.15021973783180.366189818809379
0.3999.2252369497930.331751506693849
0.499.29280379169590.296973260127457
0.4199.35317134948160.264280167009822
0.4299.40703134293710.235763210169446
0.4399.45542031877140.21272054380899
0.4499.49961000134840.196283309534746
0.4599.54099398232490.187112459515057
0.4699.58097634725890.184815067411544
0.4799.62086555375050.188959410636273
0.4899.66177749586440.197797737919751
0.4999.7045543144170.210106403895001
0.599.74970823160320.223977343843439
0.5199.79740039393680.237157049249031
0.5299.84746195589980.248356082627855
0.5399.8994582856520.256362561503401
0.5499.95278857933520.260594244195237
0.55100.0068048337550.261263481766683
0.56100.0609288596480.258879667361039
0.57100.1147458799690.254783675210977
0.58100.1680586793210.250371216565537
0.59100.2208957434810.246649152356344
0.6100.2734773719270.244600580538287
0.61100.3261520257740.244543920634315
0.62100.3793188260680.24671022369732
0.63100.4333507149920.250329517592352
0.64100.4885279769420.254913782312168
0.65100.544986505950.259851079318604
0.66100.6026822028030.26408488490018
0.67100.6613735181440.266663562615644
0.68100.7206275986060.266850028741628
0.69100.7798590884770.264014472951091
0.7100.8384111151940.25759791140343
0.71100.8956829684120.248146493069891
0.72100.9512981335220.236703977473877
0.73101.0052916425070.225379740383541
0.74101.0582808590060.216863854483488
0.75101.1115732069120.214702689303443
0.76101.1671621632020.222013567445869
0.77101.2275725506860.24103711823712
0.78101.2955401011930.271699268931242
0.79101.3735482945120.311270387871438
0.8101.4632926288050.355230802192973
0.81101.565186508470.397041529162344
0.82101.6780449851480.430257571457591
0.83101.7990637796840.449049856290276
0.84101.9241445281050.449546935124596
0.85102.0485193698110.431304333894176
0.86102.1675383078650.396659263228246
0.87102.2774466276480.35075751359679
0.88102.3760199530690.299678206868091
0.89102.4630194770670.25042301423143
0.9102.5405148179790.209344059326278
0.91102.6131193711920.183354763880813
0.92102.688050421510.179060529600065
0.93102.7746974339990.199712949289439
0.94102.8831659708710.240908142559804
0.95103.0211999658970.289763131822451
0.96103.1892001865260.325051766839223
0.97103.3743925404160.31891537638844
0.98103.5483122529020.248428586242429
0.99103.6745907195180.127040834100137


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')