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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, 08 Mar 2017 19:44:30 +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/2017/Mar/08/t1489002440xj8ekz0ahs9thd3.htm/, Retrieved Wed, 15 May 2024 18:26:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 18:26:01 +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 
100,57
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
101,21
101,1
101,17
101,11
101,2
101,15
100,92
101,1
101,22
101,25
101,39
101,43
101,95
101,92
102,05
102,07
102,1
102,16
101,63
101,43
101,4
101,6
101,72
101,73
102,67
102,59
102,69
102,93
103,02
103,06
102,47
102,4
102,42
102,51
102,61
102,78

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.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]'George Udny Yule' @ yule.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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.13540591434740.109999123345649
0.0299.22589451711620.180042028579258
0.0399.3402608110220.211465486136658
0.0499.45797102888480.216531463910255
0.0599.56927755294140.22107379184458
0.0699.67328317527140.233179308843258
0.0799.77178114170470.244294153773577
0.0899.86512384282690.244562329239676
0.0999.95173389235030.231179829337296
0.1100.0297043134130.209255893186876
0.11100.0984306733650.187549272252641
0.12100.1591915518580.174192253709061
0.13100.2146776014610.173253519823944
0.14100.2680200275450.183375082788406
0.15100.321883155030.200018897810733
0.16100.377931911040.218581864537898
0.17100.4367162991170.235049359086735
0.18100.497854414150.246954823617429
0.19100.5603525539150.253284904031607
0.2100.6229316712860.253664015354633
0.21100.6842856864010.248740890091226
0.22100.743248010150.239187486819939
0.23100.7988754920780.225997837969843
0.24100.8504735188840.210092293368571
0.25100.8975872691030.192368953921979
0.26100.9399783483130.173600194215347
0.27100.9775981924890.154382803598963
0.28101.0105628572820.135532878642245
0.29101.039129477660.11782224754572
0.3101.0636728859910.101453367619732
0.31101.0846609830660.0871750355788967
0.32101.1026285479820.0751987212054319
0.33101.11815038550.0656805422626863
0.34101.1318154569860.0590833591349491
0.35101.1442037116740.0550444588135687
0.36101.1558668570140.0537461095092662
0.37101.1673136053880.054845032030824
0.38101.1789993468420.0580327682881751
0.39101.191319921420.0630320794929595
0.4101.2046091967850.0692554385788402
0.41101.2191403275630.0768537999979031
0.42101.2351306493940.0851335374014803
0.43101.2527499643310.0940184401718673
0.44101.2721314669590.103470665775941
0.45101.2933838694660.113352241200354
0.46101.3166026595360.123639349643676
0.47101.3418781484140.134377397273362
0.48101.3692982394950.145473650867182
0.49101.398944705380.157179550740178
0.5101.4308830448890.169152900701458
0.51101.4651473944170.181153006672747
0.52101.5017231407410.192800770756461
0.53101.5405305522240.203988321960993
0.54101.5814127981950.21411291491022
0.55101.6241312140190.222418450510339
0.56101.6683697447450.228977916033033
0.57101.7137493195180.233275908504779
0.58101.7598515667080.23517179558749
0.59101.8062498170450.234620916824624
0.6101.8525438307170.232104484248934
0.61101.8983933291230.227803989932962
0.62101.9435445932310.222215758599967
0.63101.9878445838270.216062190545231
0.64102.0312386152580.209890607940065
0.65102.0737505944210.204125806215388
0.66102.1154487273040.198920522320709
0.67102.1564034144620.194259116086406
0.68102.1966465948230.189945850751022
0.69102.2361420425330.185279731899381
0.7102.2747736983630.17977963063496
0.71102.3123545398760.173237233297954
0.72102.3486530984030.165297377246736
0.73102.3834302543090.156168213840923
0.74102.4164768915030.146136170700226
0.75102.4476440362070.135427133566409
0.76102.4768607730220.124785909195561
0.77102.5041400860450.114459077407821
0.78102.529577018240.104791966215656
0.79102.5533457907460.0960000581301509
0.8102.5757023099160.0884637713465528
0.81102.5969962027330.0823103023852248
0.82102.6176927661390.0780329838280755
0.83102.6384000963560.075988219580675
0.84102.6598898271950.0769475218365834
0.85102.683092010270.0813065514028577
0.86102.7090399541070.0892294264269264
0.87102.738748786910.100372805094054
0.88102.7730441486940.11335180012557
0.89102.8124192482660.126129951347646
0.9102.8570699257340.136579544053518
0.91102.9072797641210.144021067400859
0.92102.9642069407370.15056057158335
0.93103.0307793826750.162301371151625
0.94103.1118792969940.186010584881015
0.95103.2126341366590.221135802151024
0.96103.3341455918810.252335248234216
0.97103.4680573055920.252536653137199
0.98103.5943238194970.199845393105302
0.99103.6872207014890.106658334663484

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.1354059143474 & 0.109999123345649 \tabularnewline
0.02 & 99.2258945171162 & 0.180042028579258 \tabularnewline
0.03 & 99.340260811022 & 0.211465486136658 \tabularnewline
0.04 & 99.4579710288848 & 0.216531463910255 \tabularnewline
0.05 & 99.5692775529414 & 0.22107379184458 \tabularnewline
0.06 & 99.6732831752714 & 0.233179308843258 \tabularnewline
0.07 & 99.7717811417047 & 0.244294153773577 \tabularnewline
0.08 & 99.8651238428269 & 0.244562329239676 \tabularnewline
0.09 & 99.9517338923503 & 0.231179829337296 \tabularnewline
0.1 & 100.029704313413 & 0.209255893186876 \tabularnewline
0.11 & 100.098430673365 & 0.187549272252641 \tabularnewline
0.12 & 100.159191551858 & 0.174192253709061 \tabularnewline
0.13 & 100.214677601461 & 0.173253519823944 \tabularnewline
0.14 & 100.268020027545 & 0.183375082788406 \tabularnewline
0.15 & 100.32188315503 & 0.200018897810733 \tabularnewline
0.16 & 100.37793191104 & 0.218581864537898 \tabularnewline
0.17 & 100.436716299117 & 0.235049359086735 \tabularnewline
0.18 & 100.49785441415 & 0.246954823617429 \tabularnewline
0.19 & 100.560352553915 & 0.253284904031607 \tabularnewline
0.2 & 100.622931671286 & 0.253664015354633 \tabularnewline
0.21 & 100.684285686401 & 0.248740890091226 \tabularnewline
0.22 & 100.74324801015 & 0.239187486819939 \tabularnewline
0.23 & 100.798875492078 & 0.225997837969843 \tabularnewline
0.24 & 100.850473518884 & 0.210092293368571 \tabularnewline
0.25 & 100.897587269103 & 0.192368953921979 \tabularnewline
0.26 & 100.939978348313 & 0.173600194215347 \tabularnewline
0.27 & 100.977598192489 & 0.154382803598963 \tabularnewline
0.28 & 101.010562857282 & 0.135532878642245 \tabularnewline
0.29 & 101.03912947766 & 0.11782224754572 \tabularnewline
0.3 & 101.063672885991 & 0.101453367619732 \tabularnewline
0.31 & 101.084660983066 & 0.0871750355788967 \tabularnewline
0.32 & 101.102628547982 & 0.0751987212054319 \tabularnewline
0.33 & 101.1181503855 & 0.0656805422626863 \tabularnewline
0.34 & 101.131815456986 & 0.0590833591349491 \tabularnewline
0.35 & 101.144203711674 & 0.0550444588135687 \tabularnewline
0.36 & 101.155866857014 & 0.0537461095092662 \tabularnewline
0.37 & 101.167313605388 & 0.054845032030824 \tabularnewline
0.38 & 101.178999346842 & 0.0580327682881751 \tabularnewline
0.39 & 101.19131992142 & 0.0630320794929595 \tabularnewline
0.4 & 101.204609196785 & 0.0692554385788402 \tabularnewline
0.41 & 101.219140327563 & 0.0768537999979031 \tabularnewline
0.42 & 101.235130649394 & 0.0851335374014803 \tabularnewline
0.43 & 101.252749964331 & 0.0940184401718673 \tabularnewline
0.44 & 101.272131466959 & 0.103470665775941 \tabularnewline
0.45 & 101.293383869466 & 0.113352241200354 \tabularnewline
0.46 & 101.316602659536 & 0.123639349643676 \tabularnewline
0.47 & 101.341878148414 & 0.134377397273362 \tabularnewline
0.48 & 101.369298239495 & 0.145473650867182 \tabularnewline
0.49 & 101.39894470538 & 0.157179550740178 \tabularnewline
0.5 & 101.430883044889 & 0.169152900701458 \tabularnewline
0.51 & 101.465147394417 & 0.181153006672747 \tabularnewline
0.52 & 101.501723140741 & 0.192800770756461 \tabularnewline
0.53 & 101.540530552224 & 0.203988321960993 \tabularnewline
0.54 & 101.581412798195 & 0.21411291491022 \tabularnewline
0.55 & 101.624131214019 & 0.222418450510339 \tabularnewline
0.56 & 101.668369744745 & 0.228977916033033 \tabularnewline
0.57 & 101.713749319518 & 0.233275908504779 \tabularnewline
0.58 & 101.759851566708 & 0.23517179558749 \tabularnewline
0.59 & 101.806249817045 & 0.234620916824624 \tabularnewline
0.6 & 101.852543830717 & 0.232104484248934 \tabularnewline
0.61 & 101.898393329123 & 0.227803989932962 \tabularnewline
0.62 & 101.943544593231 & 0.222215758599967 \tabularnewline
0.63 & 101.987844583827 & 0.216062190545231 \tabularnewline
0.64 & 102.031238615258 & 0.209890607940065 \tabularnewline
0.65 & 102.073750594421 & 0.204125806215388 \tabularnewline
0.66 & 102.115448727304 & 0.198920522320709 \tabularnewline
0.67 & 102.156403414462 & 0.194259116086406 \tabularnewline
0.68 & 102.196646594823 & 0.189945850751022 \tabularnewline
0.69 & 102.236142042533 & 0.185279731899381 \tabularnewline
0.7 & 102.274773698363 & 0.17977963063496 \tabularnewline
0.71 & 102.312354539876 & 0.173237233297954 \tabularnewline
0.72 & 102.348653098403 & 0.165297377246736 \tabularnewline
0.73 & 102.383430254309 & 0.156168213840923 \tabularnewline
0.74 & 102.416476891503 & 0.146136170700226 \tabularnewline
0.75 & 102.447644036207 & 0.135427133566409 \tabularnewline
0.76 & 102.476860773022 & 0.124785909195561 \tabularnewline
0.77 & 102.504140086045 & 0.114459077407821 \tabularnewline
0.78 & 102.52957701824 & 0.104791966215656 \tabularnewline
0.79 & 102.553345790746 & 0.0960000581301509 \tabularnewline
0.8 & 102.575702309916 & 0.0884637713465528 \tabularnewline
0.81 & 102.596996202733 & 0.0823103023852248 \tabularnewline
0.82 & 102.617692766139 & 0.0780329838280755 \tabularnewline
0.83 & 102.638400096356 & 0.075988219580675 \tabularnewline
0.84 & 102.659889827195 & 0.0769475218365834 \tabularnewline
0.85 & 102.68309201027 & 0.0813065514028577 \tabularnewline
0.86 & 102.709039954107 & 0.0892294264269264 \tabularnewline
0.87 & 102.73874878691 & 0.100372805094054 \tabularnewline
0.88 & 102.773044148694 & 0.11335180012557 \tabularnewline
0.89 & 102.812419248266 & 0.126129951347646 \tabularnewline
0.9 & 102.857069925734 & 0.136579544053518 \tabularnewline
0.91 & 102.907279764121 & 0.144021067400859 \tabularnewline
0.92 & 102.964206940737 & 0.15056057158335 \tabularnewline
0.93 & 103.030779382675 & 0.162301371151625 \tabularnewline
0.94 & 103.111879296994 & 0.186010584881015 \tabularnewline
0.95 & 103.212634136659 & 0.221135802151024 \tabularnewline
0.96 & 103.334145591881 & 0.252335248234216 \tabularnewline
0.97 & 103.468057305592 & 0.252536653137199 \tabularnewline
0.98 & 103.594323819497 & 0.199845393105302 \tabularnewline
0.99 & 103.687220701489 & 0.106658334663484 \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]99.1354059143474[/C][C]0.109999123345649[/C][/ROW]
[ROW][C]0.02[/C][C]99.2258945171162[/C][C]0.180042028579258[/C][/ROW]
[ROW][C]0.03[/C][C]99.340260811022[/C][C]0.211465486136658[/C][/ROW]
[ROW][C]0.04[/C][C]99.4579710288848[/C][C]0.216531463910255[/C][/ROW]
[ROW][C]0.05[/C][C]99.5692775529414[/C][C]0.22107379184458[/C][/ROW]
[ROW][C]0.06[/C][C]99.6732831752714[/C][C]0.233179308843258[/C][/ROW]
[ROW][C]0.07[/C][C]99.7717811417047[/C][C]0.244294153773577[/C][/ROW]
[ROW][C]0.08[/C][C]99.8651238428269[/C][C]0.244562329239676[/C][/ROW]
[ROW][C]0.09[/C][C]99.9517338923503[/C][C]0.231179829337296[/C][/ROW]
[ROW][C]0.1[/C][C]100.029704313413[/C][C]0.209255893186876[/C][/ROW]
[ROW][C]0.11[/C][C]100.098430673365[/C][C]0.187549272252641[/C][/ROW]
[ROW][C]0.12[/C][C]100.159191551858[/C][C]0.174192253709061[/C][/ROW]
[ROW][C]0.13[/C][C]100.214677601461[/C][C]0.173253519823944[/C][/ROW]
[ROW][C]0.14[/C][C]100.268020027545[/C][C]0.183375082788406[/C][/ROW]
[ROW][C]0.15[/C][C]100.32188315503[/C][C]0.200018897810733[/C][/ROW]
[ROW][C]0.16[/C][C]100.37793191104[/C][C]0.218581864537898[/C][/ROW]
[ROW][C]0.17[/C][C]100.436716299117[/C][C]0.235049359086735[/C][/ROW]
[ROW][C]0.18[/C][C]100.49785441415[/C][C]0.246954823617429[/C][/ROW]
[ROW][C]0.19[/C][C]100.560352553915[/C][C]0.253284904031607[/C][/ROW]
[ROW][C]0.2[/C][C]100.622931671286[/C][C]0.253664015354633[/C][/ROW]
[ROW][C]0.21[/C][C]100.684285686401[/C][C]0.248740890091226[/C][/ROW]
[ROW][C]0.22[/C][C]100.74324801015[/C][C]0.239187486819939[/C][/ROW]
[ROW][C]0.23[/C][C]100.798875492078[/C][C]0.225997837969843[/C][/ROW]
[ROW][C]0.24[/C][C]100.850473518884[/C][C]0.210092293368571[/C][/ROW]
[ROW][C]0.25[/C][C]100.897587269103[/C][C]0.192368953921979[/C][/ROW]
[ROW][C]0.26[/C][C]100.939978348313[/C][C]0.173600194215347[/C][/ROW]
[ROW][C]0.27[/C][C]100.977598192489[/C][C]0.154382803598963[/C][/ROW]
[ROW][C]0.28[/C][C]101.010562857282[/C][C]0.135532878642245[/C][/ROW]
[ROW][C]0.29[/C][C]101.03912947766[/C][C]0.11782224754572[/C][/ROW]
[ROW][C]0.3[/C][C]101.063672885991[/C][C]0.101453367619732[/C][/ROW]
[ROW][C]0.31[/C][C]101.084660983066[/C][C]0.0871750355788967[/C][/ROW]
[ROW][C]0.32[/C][C]101.102628547982[/C][C]0.0751987212054319[/C][/ROW]
[ROW][C]0.33[/C][C]101.1181503855[/C][C]0.0656805422626863[/C][/ROW]
[ROW][C]0.34[/C][C]101.131815456986[/C][C]0.0590833591349491[/C][/ROW]
[ROW][C]0.35[/C][C]101.144203711674[/C][C]0.0550444588135687[/C][/ROW]
[ROW][C]0.36[/C][C]101.155866857014[/C][C]0.0537461095092662[/C][/ROW]
[ROW][C]0.37[/C][C]101.167313605388[/C][C]0.054845032030824[/C][/ROW]
[ROW][C]0.38[/C][C]101.178999346842[/C][C]0.0580327682881751[/C][/ROW]
[ROW][C]0.39[/C][C]101.19131992142[/C][C]0.0630320794929595[/C][/ROW]
[ROW][C]0.4[/C][C]101.204609196785[/C][C]0.0692554385788402[/C][/ROW]
[ROW][C]0.41[/C][C]101.219140327563[/C][C]0.0768537999979031[/C][/ROW]
[ROW][C]0.42[/C][C]101.235130649394[/C][C]0.0851335374014803[/C][/ROW]
[ROW][C]0.43[/C][C]101.252749964331[/C][C]0.0940184401718673[/C][/ROW]
[ROW][C]0.44[/C][C]101.272131466959[/C][C]0.103470665775941[/C][/ROW]
[ROW][C]0.45[/C][C]101.293383869466[/C][C]0.113352241200354[/C][/ROW]
[ROW][C]0.46[/C][C]101.316602659536[/C][C]0.123639349643676[/C][/ROW]
[ROW][C]0.47[/C][C]101.341878148414[/C][C]0.134377397273362[/C][/ROW]
[ROW][C]0.48[/C][C]101.369298239495[/C][C]0.145473650867182[/C][/ROW]
[ROW][C]0.49[/C][C]101.39894470538[/C][C]0.157179550740178[/C][/ROW]
[ROW][C]0.5[/C][C]101.430883044889[/C][C]0.169152900701458[/C][/ROW]
[ROW][C]0.51[/C][C]101.465147394417[/C][C]0.181153006672747[/C][/ROW]
[ROW][C]0.52[/C][C]101.501723140741[/C][C]0.192800770756461[/C][/ROW]
[ROW][C]0.53[/C][C]101.540530552224[/C][C]0.203988321960993[/C][/ROW]
[ROW][C]0.54[/C][C]101.581412798195[/C][C]0.21411291491022[/C][/ROW]
[ROW][C]0.55[/C][C]101.624131214019[/C][C]0.222418450510339[/C][/ROW]
[ROW][C]0.56[/C][C]101.668369744745[/C][C]0.228977916033033[/C][/ROW]
[ROW][C]0.57[/C][C]101.713749319518[/C][C]0.233275908504779[/C][/ROW]
[ROW][C]0.58[/C][C]101.759851566708[/C][C]0.23517179558749[/C][/ROW]
[ROW][C]0.59[/C][C]101.806249817045[/C][C]0.234620916824624[/C][/ROW]
[ROW][C]0.6[/C][C]101.852543830717[/C][C]0.232104484248934[/C][/ROW]
[ROW][C]0.61[/C][C]101.898393329123[/C][C]0.227803989932962[/C][/ROW]
[ROW][C]0.62[/C][C]101.943544593231[/C][C]0.222215758599967[/C][/ROW]
[ROW][C]0.63[/C][C]101.987844583827[/C][C]0.216062190545231[/C][/ROW]
[ROW][C]0.64[/C][C]102.031238615258[/C][C]0.209890607940065[/C][/ROW]
[ROW][C]0.65[/C][C]102.073750594421[/C][C]0.204125806215388[/C][/ROW]
[ROW][C]0.66[/C][C]102.115448727304[/C][C]0.198920522320709[/C][/ROW]
[ROW][C]0.67[/C][C]102.156403414462[/C][C]0.194259116086406[/C][/ROW]
[ROW][C]0.68[/C][C]102.196646594823[/C][C]0.189945850751022[/C][/ROW]
[ROW][C]0.69[/C][C]102.236142042533[/C][C]0.185279731899381[/C][/ROW]
[ROW][C]0.7[/C][C]102.274773698363[/C][C]0.17977963063496[/C][/ROW]
[ROW][C]0.71[/C][C]102.312354539876[/C][C]0.173237233297954[/C][/ROW]
[ROW][C]0.72[/C][C]102.348653098403[/C][C]0.165297377246736[/C][/ROW]
[ROW][C]0.73[/C][C]102.383430254309[/C][C]0.156168213840923[/C][/ROW]
[ROW][C]0.74[/C][C]102.416476891503[/C][C]0.146136170700226[/C][/ROW]
[ROW][C]0.75[/C][C]102.447644036207[/C][C]0.135427133566409[/C][/ROW]
[ROW][C]0.76[/C][C]102.476860773022[/C][C]0.124785909195561[/C][/ROW]
[ROW][C]0.77[/C][C]102.504140086045[/C][C]0.114459077407821[/C][/ROW]
[ROW][C]0.78[/C][C]102.52957701824[/C][C]0.104791966215656[/C][/ROW]
[ROW][C]0.79[/C][C]102.553345790746[/C][C]0.0960000581301509[/C][/ROW]
[ROW][C]0.8[/C][C]102.575702309916[/C][C]0.0884637713465528[/C][/ROW]
[ROW][C]0.81[/C][C]102.596996202733[/C][C]0.0823103023852248[/C][/ROW]
[ROW][C]0.82[/C][C]102.617692766139[/C][C]0.0780329838280755[/C][/ROW]
[ROW][C]0.83[/C][C]102.638400096356[/C][C]0.075988219580675[/C][/ROW]
[ROW][C]0.84[/C][C]102.659889827195[/C][C]0.0769475218365834[/C][/ROW]
[ROW][C]0.85[/C][C]102.68309201027[/C][C]0.0813065514028577[/C][/ROW]
[ROW][C]0.86[/C][C]102.709039954107[/C][C]0.0892294264269264[/C][/ROW]
[ROW][C]0.87[/C][C]102.73874878691[/C][C]0.100372805094054[/C][/ROW]
[ROW][C]0.88[/C][C]102.773044148694[/C][C]0.11335180012557[/C][/ROW]
[ROW][C]0.89[/C][C]102.812419248266[/C][C]0.126129951347646[/C][/ROW]
[ROW][C]0.9[/C][C]102.857069925734[/C][C]0.136579544053518[/C][/ROW]
[ROW][C]0.91[/C][C]102.907279764121[/C][C]0.144021067400859[/C][/ROW]
[ROW][C]0.92[/C][C]102.964206940737[/C][C]0.15056057158335[/C][/ROW]
[ROW][C]0.93[/C][C]103.030779382675[/C][C]0.162301371151625[/C][/ROW]
[ROW][C]0.94[/C][C]103.111879296994[/C][C]0.186010584881015[/C][/ROW]
[ROW][C]0.95[/C][C]103.212634136659[/C][C]0.221135802151024[/C][/ROW]
[ROW][C]0.96[/C][C]103.334145591881[/C][C]0.252335248234216[/C][/ROW]
[ROW][C]0.97[/C][C]103.468057305592[/C][C]0.252536653137199[/C][/ROW]
[ROW][C]0.98[/C][C]103.594323819497[/C][C]0.199845393105302[/C][/ROW]
[ROW][C]0.99[/C][C]103.687220701489[/C][C]0.106658334663484[/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
0.0199.13540591434740.109999123345649
0.0299.22589451711620.180042028579258
0.0399.3402608110220.211465486136658
0.0499.45797102888480.216531463910255
0.0599.56927755294140.22107379184458
0.0699.67328317527140.233179308843258
0.0799.77178114170470.244294153773577
0.0899.86512384282690.244562329239676
0.0999.95173389235030.231179829337296
0.1100.0297043134130.209255893186876
0.11100.0984306733650.187549272252641
0.12100.1591915518580.174192253709061
0.13100.2146776014610.173253519823944
0.14100.2680200275450.183375082788406
0.15100.321883155030.200018897810733
0.16100.377931911040.218581864537898
0.17100.4367162991170.235049359086735
0.18100.497854414150.246954823617429
0.19100.5603525539150.253284904031607
0.2100.6229316712860.253664015354633
0.21100.6842856864010.248740890091226
0.22100.743248010150.239187486819939
0.23100.7988754920780.225997837969843
0.24100.8504735188840.210092293368571
0.25100.8975872691030.192368953921979
0.26100.9399783483130.173600194215347
0.27100.9775981924890.154382803598963
0.28101.0105628572820.135532878642245
0.29101.039129477660.11782224754572
0.3101.0636728859910.101453367619732
0.31101.0846609830660.0871750355788967
0.32101.1026285479820.0751987212054319
0.33101.11815038550.0656805422626863
0.34101.1318154569860.0590833591349491
0.35101.1442037116740.0550444588135687
0.36101.1558668570140.0537461095092662
0.37101.1673136053880.054845032030824
0.38101.1789993468420.0580327682881751
0.39101.191319921420.0630320794929595
0.4101.2046091967850.0692554385788402
0.41101.2191403275630.0768537999979031
0.42101.2351306493940.0851335374014803
0.43101.2527499643310.0940184401718673
0.44101.2721314669590.103470665775941
0.45101.2933838694660.113352241200354
0.46101.3166026595360.123639349643676
0.47101.3418781484140.134377397273362
0.48101.3692982394950.145473650867182
0.49101.398944705380.157179550740178
0.5101.4308830448890.169152900701458
0.51101.4651473944170.181153006672747
0.52101.5017231407410.192800770756461
0.53101.5405305522240.203988321960993
0.54101.5814127981950.21411291491022
0.55101.6241312140190.222418450510339
0.56101.6683697447450.228977916033033
0.57101.7137493195180.233275908504779
0.58101.7598515667080.23517179558749
0.59101.8062498170450.234620916824624
0.6101.8525438307170.232104484248934
0.61101.8983933291230.227803989932962
0.62101.9435445932310.222215758599967
0.63101.9878445838270.216062190545231
0.64102.0312386152580.209890607940065
0.65102.0737505944210.204125806215388
0.66102.1154487273040.198920522320709
0.67102.1564034144620.194259116086406
0.68102.1966465948230.189945850751022
0.69102.2361420425330.185279731899381
0.7102.2747736983630.17977963063496
0.71102.3123545398760.173237233297954
0.72102.3486530984030.165297377246736
0.73102.3834302543090.156168213840923
0.74102.4164768915030.146136170700226
0.75102.4476440362070.135427133566409
0.76102.4768607730220.124785909195561
0.77102.5041400860450.114459077407821
0.78102.529577018240.104791966215656
0.79102.5533457907460.0960000581301509
0.8102.5757023099160.0884637713465528
0.81102.5969962027330.0823103023852248
0.82102.6176927661390.0780329838280755
0.83102.6384000963560.075988219580675
0.84102.6598898271950.0769475218365834
0.85102.683092010270.0813065514028577
0.86102.7090399541070.0892294264269264
0.87102.738748786910.100372805094054
0.88102.7730441486940.11335180012557
0.89102.8124192482660.126129951347646
0.9102.8570699257340.136579544053518
0.91102.9072797641210.144021067400859
0.92102.9642069407370.15056057158335
0.93103.0307793826750.162301371151625
0.94103.1118792969940.186010584881015
0.95103.2126341366590.221135802151024
0.96103.3341455918810.252335248234216
0.97103.4680573055920.252536653137199
0.98103.5943238194970.199845393105302
0.99103.6872207014890.106658334663484


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')