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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 computationWed, 05 Oct 2016 16:03:05 +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/2016/Oct/05/t1475679836mi522b6z5bdvgqy.htm/, Retrieved Sun, 05 May 2024 13:18:35 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 13:18:35 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.55
100.41
100.54
100.66
100.86
100.88
100.88
101.37
101.84
102.25
102.58
102.59
102.59
101.95
101.94
102.18
102.47
102.5
102.5
102.87
103.08
103.47
103.65
103.68
99.76
99.13
99.19
99.37
99.61
99.65
99.66
99.98
100.38
100.92
101.16
101.19
101.52
101.14
101.38
101.46
101.52
101.53
100.79
101.2
101.28
101.59
101.75
101.76
103.03
102.97
103.11
103.17
103.17
103.2
102.17
102.22
102.18
102.44
102.61
102.63

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.15720191657050.0886203220897885
0.0299.20859429684770.136282923417422
0.0399.27801462039490.177048694444093
0.0499.35713955163890.199543113071494
0.0599.43887245860180.206664047564767
0.0699.51898082798120.208727200282126
0.0799.59631251175390.21623746112459
0.0899.67198061838410.234448382388407
0.0999.74807251336250.261910916708593
0.199.82644517911060.29274994605104
0.1199.90796856168120.320674299512641
0.1299.99231091874160.340962900281262
0.13100.0781562203350.350883721940008
0.14100.1636513833890.350326819317172
0.15100.2468854840520.340845133857698
0.16100.3262636205470.325015849962175
0.17100.4007147054180.305933935154957
0.18100.4697371810650.286127728300716
0.19100.5333261480770.267427327946262
0.2100.5918385538890.251045103252428
0.21100.6458464625960.23738400914695
0.22100.6960114938510.226379965884609
0.23100.7429949535090.217755911739165
0.24100.7874037263040.211271339391808
0.25100.8297639615150.206646316457266
0.26100.8705124734370.203441631721578
0.27100.9099975602360.201360496581178
0.28100.9484842481330.200045010349767
0.29100.9861619559870.199148175291866
0.3101.0231543155280.19832388950993
0.31101.0595312933280.197229905387377
0.32101.0953233032560.195909044353656
0.33101.1305363014410.194129830409041
0.34101.1651664176860.192190030281952
0.35101.1992127165840.190134062491593
0.36101.2326871393570.187952436499241
0.37101.2656213212880.185892132055036
0.38101.298070543460.184261290276476
0.39101.3301153762010.183013862494792
0.4101.3618615579220.182371746055685
0.41101.393438409290.182431608629824
0.42101.4249957673310.18341759982707
0.43101.4566992008960.185390061209352
0.44101.4887232471270.188469098543335
0.45101.5212426128150.192545633295583
0.46101.5544216571310.197691125131025
0.47101.5884029024080.203569189745898
0.48101.6232956835370.210044111786007
0.49101.6591662443940.216497036658095
0.5101.6960305686080.222960012030122
0.51101.7338509911770.228911208277208
0.52101.7725372181850.233932713054604
0.53101.8119518505640.237884794253833
0.54101.8519199387360.240320695764317
0.55101.8922415604270.241532015464537
0.56101.9327059807650.241145538654946
0.57101.9731056842360.239400559669081
0.58102.013248518660.236409415114305
0.59102.0529664049650.23236964469376
0.6102.0921195577360.227578026444017
0.61102.1305958983230.22223505077662
0.62102.1683062345650.216606450912075
0.63102.2051766825510.210529841491837
0.64102.2411405351910.204212725003266
0.65102.2761321619850.197537471815708
0.66102.3100854240190.190536203533098
0.67102.3429384617320.183028270752639
0.68102.374645614510.175012846137957
0.69102.405195805230.166814689023808
0.7102.4346351759990.158570412078401
0.71102.4630903262960.150849566887602
0.72102.490787415050.144250332858215
0.73102.5180618680250.139500532915468
0.74102.545353694230.137353614585579
0.75102.573184647480.13828681134301
0.76102.6021157834320.142643998799534
0.77102.632687300620.150040361352686
0.78102.6653465760540.159746972640414
0.79102.7003743173240.170522199737555
0.8102.7378217534870.180852585350353
0.81102.7774726978030.189352753313255
0.82102.8188423770130.194354433509582
0.83102.8612201408140.194983993884196
0.84102.9037565865150.190794555946562
0.85102.9455891650720.181873152697612
0.86102.9859959317030.169158742973307
0.87103.0245653955520.154104610706502
0.88103.0613692942980.138667860274359
0.89103.0971193154840.125444571748925
0.9103.1332718915780.117397579049498
0.91103.1720149771040.11780956911871
0.92103.2160371172730.128607496423567
0.93103.2679710156450.148516299705209
0.94103.3294666196790.172335201576479
0.95103.4000224940760.19126720060683
0.96103.4759763785360.19460925610439
0.97103.5503052178910.173482382530755
0.98103.6138794762880.126937778268457
0.99103.6583521536980.0688240832574396

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.1572019165705 & 0.0886203220897885 \tabularnewline
0.02 & 99.2085942968477 & 0.136282923417422 \tabularnewline
0.03 & 99.2780146203949 & 0.177048694444093 \tabularnewline
0.04 & 99.3571395516389 & 0.199543113071494 \tabularnewline
0.05 & 99.4388724586018 & 0.206664047564767 \tabularnewline
0.06 & 99.5189808279812 & 0.208727200282126 \tabularnewline
0.07 & 99.5963125117539 & 0.21623746112459 \tabularnewline
0.08 & 99.6719806183841 & 0.234448382388407 \tabularnewline
0.09 & 99.7480725133625 & 0.261910916708593 \tabularnewline
0.1 & 99.8264451791106 & 0.29274994605104 \tabularnewline
0.11 & 99.9079685616812 & 0.320674299512641 \tabularnewline
0.12 & 99.9923109187416 & 0.340962900281262 \tabularnewline
0.13 & 100.078156220335 & 0.350883721940008 \tabularnewline
0.14 & 100.163651383389 & 0.350326819317172 \tabularnewline
0.15 & 100.246885484052 & 0.340845133857698 \tabularnewline
0.16 & 100.326263620547 & 0.325015849962175 \tabularnewline
0.17 & 100.400714705418 & 0.305933935154957 \tabularnewline
0.18 & 100.469737181065 & 0.286127728300716 \tabularnewline
0.19 & 100.533326148077 & 0.267427327946262 \tabularnewline
0.2 & 100.591838553889 & 0.251045103252428 \tabularnewline
0.21 & 100.645846462596 & 0.23738400914695 \tabularnewline
0.22 & 100.696011493851 & 0.226379965884609 \tabularnewline
0.23 & 100.742994953509 & 0.217755911739165 \tabularnewline
0.24 & 100.787403726304 & 0.211271339391808 \tabularnewline
0.25 & 100.829763961515 & 0.206646316457266 \tabularnewline
0.26 & 100.870512473437 & 0.203441631721578 \tabularnewline
0.27 & 100.909997560236 & 0.201360496581178 \tabularnewline
0.28 & 100.948484248133 & 0.200045010349767 \tabularnewline
0.29 & 100.986161955987 & 0.199148175291866 \tabularnewline
0.3 & 101.023154315528 & 0.19832388950993 \tabularnewline
0.31 & 101.059531293328 & 0.197229905387377 \tabularnewline
0.32 & 101.095323303256 & 0.195909044353656 \tabularnewline
0.33 & 101.130536301441 & 0.194129830409041 \tabularnewline
0.34 & 101.165166417686 & 0.192190030281952 \tabularnewline
0.35 & 101.199212716584 & 0.190134062491593 \tabularnewline
0.36 & 101.232687139357 & 0.187952436499241 \tabularnewline
0.37 & 101.265621321288 & 0.185892132055036 \tabularnewline
0.38 & 101.29807054346 & 0.184261290276476 \tabularnewline
0.39 & 101.330115376201 & 0.183013862494792 \tabularnewline
0.4 & 101.361861557922 & 0.182371746055685 \tabularnewline
0.41 & 101.39343840929 & 0.182431608629824 \tabularnewline
0.42 & 101.424995767331 & 0.18341759982707 \tabularnewline
0.43 & 101.456699200896 & 0.185390061209352 \tabularnewline
0.44 & 101.488723247127 & 0.188469098543335 \tabularnewline
0.45 & 101.521242612815 & 0.192545633295583 \tabularnewline
0.46 & 101.554421657131 & 0.197691125131025 \tabularnewline
0.47 & 101.588402902408 & 0.203569189745898 \tabularnewline
0.48 & 101.623295683537 & 0.210044111786007 \tabularnewline
0.49 & 101.659166244394 & 0.216497036658095 \tabularnewline
0.5 & 101.696030568608 & 0.222960012030122 \tabularnewline
0.51 & 101.733850991177 & 0.228911208277208 \tabularnewline
0.52 & 101.772537218185 & 0.233932713054604 \tabularnewline
0.53 & 101.811951850564 & 0.237884794253833 \tabularnewline
0.54 & 101.851919938736 & 0.240320695764317 \tabularnewline
0.55 & 101.892241560427 & 0.241532015464537 \tabularnewline
0.56 & 101.932705980765 & 0.241145538654946 \tabularnewline
0.57 & 101.973105684236 & 0.239400559669081 \tabularnewline
0.58 & 102.01324851866 & 0.236409415114305 \tabularnewline
0.59 & 102.052966404965 & 0.23236964469376 \tabularnewline
0.6 & 102.092119557736 & 0.227578026444017 \tabularnewline
0.61 & 102.130595898323 & 0.22223505077662 \tabularnewline
0.62 & 102.168306234565 & 0.216606450912075 \tabularnewline
0.63 & 102.205176682551 & 0.210529841491837 \tabularnewline
0.64 & 102.241140535191 & 0.204212725003266 \tabularnewline
0.65 & 102.276132161985 & 0.197537471815708 \tabularnewline
0.66 & 102.310085424019 & 0.190536203533098 \tabularnewline
0.67 & 102.342938461732 & 0.183028270752639 \tabularnewline
0.68 & 102.37464561451 & 0.175012846137957 \tabularnewline
0.69 & 102.40519580523 & 0.166814689023808 \tabularnewline
0.7 & 102.434635175999 & 0.158570412078401 \tabularnewline
0.71 & 102.463090326296 & 0.150849566887602 \tabularnewline
0.72 & 102.49078741505 & 0.144250332858215 \tabularnewline
0.73 & 102.518061868025 & 0.139500532915468 \tabularnewline
0.74 & 102.54535369423 & 0.137353614585579 \tabularnewline
0.75 & 102.57318464748 & 0.13828681134301 \tabularnewline
0.76 & 102.602115783432 & 0.142643998799534 \tabularnewline
0.77 & 102.63268730062 & 0.150040361352686 \tabularnewline
0.78 & 102.665346576054 & 0.159746972640414 \tabularnewline
0.79 & 102.700374317324 & 0.170522199737555 \tabularnewline
0.8 & 102.737821753487 & 0.180852585350353 \tabularnewline
0.81 & 102.777472697803 & 0.189352753313255 \tabularnewline
0.82 & 102.818842377013 & 0.194354433509582 \tabularnewline
0.83 & 102.861220140814 & 0.194983993884196 \tabularnewline
0.84 & 102.903756586515 & 0.190794555946562 \tabularnewline
0.85 & 102.945589165072 & 0.181873152697612 \tabularnewline
0.86 & 102.985995931703 & 0.169158742973307 \tabularnewline
0.87 & 103.024565395552 & 0.154104610706502 \tabularnewline
0.88 & 103.061369294298 & 0.138667860274359 \tabularnewline
0.89 & 103.097119315484 & 0.125444571748925 \tabularnewline
0.9 & 103.133271891578 & 0.117397579049498 \tabularnewline
0.91 & 103.172014977104 & 0.11780956911871 \tabularnewline
0.92 & 103.216037117273 & 0.128607496423567 \tabularnewline
0.93 & 103.267971015645 & 0.148516299705209 \tabularnewline
0.94 & 103.329466619679 & 0.172335201576479 \tabularnewline
0.95 & 103.400022494076 & 0.19126720060683 \tabularnewline
0.96 & 103.475976378536 & 0.19460925610439 \tabularnewline
0.97 & 103.550305217891 & 0.173482382530755 \tabularnewline
0.98 & 103.613879476288 & 0.126937778268457 \tabularnewline
0.99 & 103.658352153698 & 0.0688240832574396 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]99.1572019165705[/C][C]0.0886203220897885[/C][/ROW]
[ROW][C]0.02[/C][C]99.2085942968477[/C][C]0.136282923417422[/C][/ROW]
[ROW][C]0.03[/C][C]99.2780146203949[/C][C]0.177048694444093[/C][/ROW]
[ROW][C]0.04[/C][C]99.3571395516389[/C][C]0.199543113071494[/C][/ROW]
[ROW][C]0.05[/C][C]99.4388724586018[/C][C]0.206664047564767[/C][/ROW]
[ROW][C]0.06[/C][C]99.5189808279812[/C][C]0.208727200282126[/C][/ROW]
[ROW][C]0.07[/C][C]99.5963125117539[/C][C]0.21623746112459[/C][/ROW]
[ROW][C]0.08[/C][C]99.6719806183841[/C][C]0.234448382388407[/C][/ROW]
[ROW][C]0.09[/C][C]99.7480725133625[/C][C]0.261910916708593[/C][/ROW]
[ROW][C]0.1[/C][C]99.8264451791106[/C][C]0.29274994605104[/C][/ROW]
[ROW][C]0.11[/C][C]99.9079685616812[/C][C]0.320674299512641[/C][/ROW]
[ROW][C]0.12[/C][C]99.9923109187416[/C][C]0.340962900281262[/C][/ROW]
[ROW][C]0.13[/C][C]100.078156220335[/C][C]0.350883721940008[/C][/ROW]
[ROW][C]0.14[/C][C]100.163651383389[/C][C]0.350326819317172[/C][/ROW]
[ROW][C]0.15[/C][C]100.246885484052[/C][C]0.340845133857698[/C][/ROW]
[ROW][C]0.16[/C][C]100.326263620547[/C][C]0.325015849962175[/C][/ROW]
[ROW][C]0.17[/C][C]100.400714705418[/C][C]0.305933935154957[/C][/ROW]
[ROW][C]0.18[/C][C]100.469737181065[/C][C]0.286127728300716[/C][/ROW]
[ROW][C]0.19[/C][C]100.533326148077[/C][C]0.267427327946262[/C][/ROW]
[ROW][C]0.2[/C][C]100.591838553889[/C][C]0.251045103252428[/C][/ROW]
[ROW][C]0.21[/C][C]100.645846462596[/C][C]0.23738400914695[/C][/ROW]
[ROW][C]0.22[/C][C]100.696011493851[/C][C]0.226379965884609[/C][/ROW]
[ROW][C]0.23[/C][C]100.742994953509[/C][C]0.217755911739165[/C][/ROW]
[ROW][C]0.24[/C][C]100.787403726304[/C][C]0.211271339391808[/C][/ROW]
[ROW][C]0.25[/C][C]100.829763961515[/C][C]0.206646316457266[/C][/ROW]
[ROW][C]0.26[/C][C]100.870512473437[/C][C]0.203441631721578[/C][/ROW]
[ROW][C]0.27[/C][C]100.909997560236[/C][C]0.201360496581178[/C][/ROW]
[ROW][C]0.28[/C][C]100.948484248133[/C][C]0.200045010349767[/C][/ROW]
[ROW][C]0.29[/C][C]100.986161955987[/C][C]0.199148175291866[/C][/ROW]
[ROW][C]0.3[/C][C]101.023154315528[/C][C]0.19832388950993[/C][/ROW]
[ROW][C]0.31[/C][C]101.059531293328[/C][C]0.197229905387377[/C][/ROW]
[ROW][C]0.32[/C][C]101.095323303256[/C][C]0.195909044353656[/C][/ROW]
[ROW][C]0.33[/C][C]101.130536301441[/C][C]0.194129830409041[/C][/ROW]
[ROW][C]0.34[/C][C]101.165166417686[/C][C]0.192190030281952[/C][/ROW]
[ROW][C]0.35[/C][C]101.199212716584[/C][C]0.190134062491593[/C][/ROW]
[ROW][C]0.36[/C][C]101.232687139357[/C][C]0.187952436499241[/C][/ROW]
[ROW][C]0.37[/C][C]101.265621321288[/C][C]0.185892132055036[/C][/ROW]
[ROW][C]0.38[/C][C]101.29807054346[/C][C]0.184261290276476[/C][/ROW]
[ROW][C]0.39[/C][C]101.330115376201[/C][C]0.183013862494792[/C][/ROW]
[ROW][C]0.4[/C][C]101.361861557922[/C][C]0.182371746055685[/C][/ROW]
[ROW][C]0.41[/C][C]101.39343840929[/C][C]0.182431608629824[/C][/ROW]
[ROW][C]0.42[/C][C]101.424995767331[/C][C]0.18341759982707[/C][/ROW]
[ROW][C]0.43[/C][C]101.456699200896[/C][C]0.185390061209352[/C][/ROW]
[ROW][C]0.44[/C][C]101.488723247127[/C][C]0.188469098543335[/C][/ROW]
[ROW][C]0.45[/C][C]101.521242612815[/C][C]0.192545633295583[/C][/ROW]
[ROW][C]0.46[/C][C]101.554421657131[/C][C]0.197691125131025[/C][/ROW]
[ROW][C]0.47[/C][C]101.588402902408[/C][C]0.203569189745898[/C][/ROW]
[ROW][C]0.48[/C][C]101.623295683537[/C][C]0.210044111786007[/C][/ROW]
[ROW][C]0.49[/C][C]101.659166244394[/C][C]0.216497036658095[/C][/ROW]
[ROW][C]0.5[/C][C]101.696030568608[/C][C]0.222960012030122[/C][/ROW]
[ROW][C]0.51[/C][C]101.733850991177[/C][C]0.228911208277208[/C][/ROW]
[ROW][C]0.52[/C][C]101.772537218185[/C][C]0.233932713054604[/C][/ROW]
[ROW][C]0.53[/C][C]101.811951850564[/C][C]0.237884794253833[/C][/ROW]
[ROW][C]0.54[/C][C]101.851919938736[/C][C]0.240320695764317[/C][/ROW]
[ROW][C]0.55[/C][C]101.892241560427[/C][C]0.241532015464537[/C][/ROW]
[ROW][C]0.56[/C][C]101.932705980765[/C][C]0.241145538654946[/C][/ROW]
[ROW][C]0.57[/C][C]101.973105684236[/C][C]0.239400559669081[/C][/ROW]
[ROW][C]0.58[/C][C]102.01324851866[/C][C]0.236409415114305[/C][/ROW]
[ROW][C]0.59[/C][C]102.052966404965[/C][C]0.23236964469376[/C][/ROW]
[ROW][C]0.6[/C][C]102.092119557736[/C][C]0.227578026444017[/C][/ROW]
[ROW][C]0.61[/C][C]102.130595898323[/C][C]0.22223505077662[/C][/ROW]
[ROW][C]0.62[/C][C]102.168306234565[/C][C]0.216606450912075[/C][/ROW]
[ROW][C]0.63[/C][C]102.205176682551[/C][C]0.210529841491837[/C][/ROW]
[ROW][C]0.64[/C][C]102.241140535191[/C][C]0.204212725003266[/C][/ROW]
[ROW][C]0.65[/C][C]102.276132161985[/C][C]0.197537471815708[/C][/ROW]
[ROW][C]0.66[/C][C]102.310085424019[/C][C]0.190536203533098[/C][/ROW]
[ROW][C]0.67[/C][C]102.342938461732[/C][C]0.183028270752639[/C][/ROW]
[ROW][C]0.68[/C][C]102.37464561451[/C][C]0.175012846137957[/C][/ROW]
[ROW][C]0.69[/C][C]102.40519580523[/C][C]0.166814689023808[/C][/ROW]
[ROW][C]0.7[/C][C]102.434635175999[/C][C]0.158570412078401[/C][/ROW]
[ROW][C]0.71[/C][C]102.463090326296[/C][C]0.150849566887602[/C][/ROW]
[ROW][C]0.72[/C][C]102.49078741505[/C][C]0.144250332858215[/C][/ROW]
[ROW][C]0.73[/C][C]102.518061868025[/C][C]0.139500532915468[/C][/ROW]
[ROW][C]0.74[/C][C]102.54535369423[/C][C]0.137353614585579[/C][/ROW]
[ROW][C]0.75[/C][C]102.57318464748[/C][C]0.13828681134301[/C][/ROW]
[ROW][C]0.76[/C][C]102.602115783432[/C][C]0.142643998799534[/C][/ROW]
[ROW][C]0.77[/C][C]102.63268730062[/C][C]0.150040361352686[/C][/ROW]
[ROW][C]0.78[/C][C]102.665346576054[/C][C]0.159746972640414[/C][/ROW]
[ROW][C]0.79[/C][C]102.700374317324[/C][C]0.170522199737555[/C][/ROW]
[ROW][C]0.8[/C][C]102.737821753487[/C][C]0.180852585350353[/C][/ROW]
[ROW][C]0.81[/C][C]102.777472697803[/C][C]0.189352753313255[/C][/ROW]
[ROW][C]0.82[/C][C]102.818842377013[/C][C]0.194354433509582[/C][/ROW]
[ROW][C]0.83[/C][C]102.861220140814[/C][C]0.194983993884196[/C][/ROW]
[ROW][C]0.84[/C][C]102.903756586515[/C][C]0.190794555946562[/C][/ROW]
[ROW][C]0.85[/C][C]102.945589165072[/C][C]0.181873152697612[/C][/ROW]
[ROW][C]0.86[/C][C]102.985995931703[/C][C]0.169158742973307[/C][/ROW]
[ROW][C]0.87[/C][C]103.024565395552[/C][C]0.154104610706502[/C][/ROW]
[ROW][C]0.88[/C][C]103.061369294298[/C][C]0.138667860274359[/C][/ROW]
[ROW][C]0.89[/C][C]103.097119315484[/C][C]0.125444571748925[/C][/ROW]
[ROW][C]0.9[/C][C]103.133271891578[/C][C]0.117397579049498[/C][/ROW]
[ROW][C]0.91[/C][C]103.172014977104[/C][C]0.11780956911871[/C][/ROW]
[ROW][C]0.92[/C][C]103.216037117273[/C][C]0.128607496423567[/C][/ROW]
[ROW][C]0.93[/C][C]103.267971015645[/C][C]0.148516299705209[/C][/ROW]
[ROW][C]0.94[/C][C]103.329466619679[/C][C]0.172335201576479[/C][/ROW]
[ROW][C]0.95[/C][C]103.400022494076[/C][C]0.19126720060683[/C][/ROW]
[ROW][C]0.96[/C][C]103.475976378536[/C][C]0.19460925610439[/C][/ROW]
[ROW][C]0.97[/C][C]103.550305217891[/C][C]0.173482382530755[/C][/ROW]
[ROW][C]0.98[/C][C]103.613879476288[/C][C]0.126937778268457[/C][/ROW]
[ROW][C]0.99[/C][C]103.658352153698[/C][C]0.0688240832574396[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0199.15720191657050.0886203220897885
0.0299.20859429684770.136282923417422
0.0399.27801462039490.177048694444093
0.0499.35713955163890.199543113071494
0.0599.43887245860180.206664047564767
0.0699.51898082798120.208727200282126
0.0799.59631251175390.21623746112459
0.0899.67198061838410.234448382388407
0.0999.74807251336250.261910916708593
0.199.82644517911060.29274994605104
0.1199.90796856168120.320674299512641
0.1299.99231091874160.340962900281262
0.13100.0781562203350.350883721940008
0.14100.1636513833890.350326819317172
0.15100.2468854840520.340845133857698
0.16100.3262636205470.325015849962175
0.17100.4007147054180.305933935154957
0.18100.4697371810650.286127728300716
0.19100.5333261480770.267427327946262
0.2100.5918385538890.251045103252428
0.21100.6458464625960.23738400914695
0.22100.6960114938510.226379965884609
0.23100.7429949535090.217755911739165
0.24100.7874037263040.211271339391808
0.25100.8297639615150.206646316457266
0.26100.8705124734370.203441631721578
0.27100.9099975602360.201360496581178
0.28100.9484842481330.200045010349767
0.29100.9861619559870.199148175291866
0.3101.0231543155280.19832388950993
0.31101.0595312933280.197229905387377
0.32101.0953233032560.195909044353656
0.33101.1305363014410.194129830409041
0.34101.1651664176860.192190030281952
0.35101.1992127165840.190134062491593
0.36101.2326871393570.187952436499241
0.37101.2656213212880.185892132055036
0.38101.298070543460.184261290276476
0.39101.3301153762010.183013862494792
0.4101.3618615579220.182371746055685
0.41101.393438409290.182431608629824
0.42101.4249957673310.18341759982707
0.43101.4566992008960.185390061209352
0.44101.4887232471270.188469098543335
0.45101.5212426128150.192545633295583
0.46101.5544216571310.197691125131025
0.47101.5884029024080.203569189745898
0.48101.6232956835370.210044111786007
0.49101.6591662443940.216497036658095
0.5101.6960305686080.222960012030122
0.51101.7338509911770.228911208277208
0.52101.7725372181850.233932713054604
0.53101.8119518505640.237884794253833
0.54101.8519199387360.240320695764317
0.55101.8922415604270.241532015464537
0.56101.9327059807650.241145538654946
0.57101.9731056842360.239400559669081
0.58102.013248518660.236409415114305
0.59102.0529664049650.23236964469376
0.6102.0921195577360.227578026444017
0.61102.1305958983230.22223505077662
0.62102.1683062345650.216606450912075
0.63102.2051766825510.210529841491837
0.64102.2411405351910.204212725003266
0.65102.2761321619850.197537471815708
0.66102.3100854240190.190536203533098
0.67102.3429384617320.183028270752639
0.68102.374645614510.175012846137957
0.69102.405195805230.166814689023808
0.7102.4346351759990.158570412078401
0.71102.4630903262960.150849566887602
0.72102.490787415050.144250332858215
0.73102.5180618680250.139500532915468
0.74102.545353694230.137353614585579
0.75102.573184647480.13828681134301
0.76102.6021157834320.142643998799534
0.77102.632687300620.150040361352686
0.78102.6653465760540.159746972640414
0.79102.7003743173240.170522199737555
0.8102.7378217534870.180852585350353
0.81102.7774726978030.189352753313255
0.82102.8188423770130.194354433509582
0.83102.8612201408140.194983993884196
0.84102.9037565865150.190794555946562
0.85102.9455891650720.181873152697612
0.86102.9859959317030.169158742973307
0.87103.0245653955520.154104610706502
0.88103.0613692942980.138667860274359
0.89103.0971193154840.125444571748925
0.9103.1332718915780.117397579049498
0.91103.1720149771040.11780956911871
0.92103.2160371172730.128607496423567
0.93103.2679710156450.148516299705209
0.94103.3294666196790.172335201576479
0.95103.4000224940760.19126720060683
0.96103.4759763785360.19460925610439
0.97103.5503052178910.173482382530755
0.98103.6138794762880.126937778268457
0.99103.6583521536980.0688240832574396


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')