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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 computationSat, 11 Mar 2017 14:30:59 +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/11/t1489242684d2kle8554gi3e24.htm/, Retrieved Tue, 14 May 2024 17:39:36 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 17:39:36 +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 
101,74
100,73
100,86
100,78
100,76
100,77
100,77
101,93
101,98
102,47
102,59
102,54
102,54
101,29
101,49
101,71
101,98
102,11
102,11
103,13
103,43
103,8
103,99
104,03
104,03
102,58
102,65
102,81
102,98
103,12
103,12
104,33
104,41
104,66
104,81
104,9
100,15
98,74
98,74
98,96
99,34
99,4
99,5
100,5
100,77
101,08
101,39
101,43
101,43
101,29
101,33
101,15
101,25
101,13
101,07
101,33
101,61
101,29
101,39
101,46
101,81
101,78
101,93
102,01
102,03
102,14
101,81
101,52
101,38
101,5
101,65
101,64

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=&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=&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.76848769995370.0850472264134463
0.0298.84058870163090.197989930087825
0.0398.95580853719050.292648572700883
0.0499.10234061718710.360073003372555
0.0599.26748976756290.414474064939429
0.0699.4429153378360.466901499556049
0.0799.62383364225830.513241553504971
0.0899.8060246710980.541005641157784
0.0999.98398429990590.539992105166881
0.1100.1511670416550.50859416675145
0.11100.301510443870.453293665678967
0.12100.4309951117630.385194851410557
0.13100.5384332150780.316128697800709
0.14100.6253269193530.255571481276606
0.15100.6950784696180.209730687798841
0.16100.7519678696150.180757645197963
0.17100.8002351238370.167232051240193
0.18100.8434466549640.164837730216804
0.19100.8841836945920.168539294643555
0.2100.9240014598460.173961886095093
0.21100.9635707691960.178150393876966
0.22101.0029121883130.179427945100519
0.23101.0416499844490.177319935736002
0.24101.0792370054180.171787071308114
0.25101.1151248469470.16363885786817
0.26101.1488725162880.153506167882409
0.27101.1801996541120.142420232356647
0.28101.2089972020970.131186432031596
0.29101.2353102455370.120367535866406
0.3101.2593062546970.110665694388877
0.31101.2812387948130.10213847800843
0.32101.3014133135720.0952678062910732
0.33101.3201586354080.0899474896860522
0.34101.3378055721980.0862958854788811
0.35101.3546725551030.0839808008817862
0.36101.3710572418840.0832392726306852
0.37101.3872325206310.083647169133082
0.38101.403445142620.085368744276032
0.39101.4199153413060.0880231675568028
0.4101.4368361886820.0916164475669366
0.41101.4543720197520.0960355676140599
0.42101.4726558936770.101004501205074
0.43101.4917866134460.106418724321309
0.44101.511826173430.111889271726515
0.45101.5327985779310.117452768974027
0.46101.5546907754710.122754540273784
0.47101.5774560522310.127546962136005
0.48101.6010197415360.131780011775915
0.49101.6252866720640.135312412834922
0.5101.650149517180.138187449742067
0.51101.6754971964640.140388984698578
0.52101.7012227227990.141918266807471
0.53101.72723031250.142913037974378
0.54101.7534420452250.143485628132517
0.55101.7798047038980.143754786012008
0.56101.8062974818330.143860387911187
0.57101.8329409127650.144042417629234
0.58101.8598066591770.14454310584617
0.59101.8870268104690.145721775277043
0.6101.9148003430330.148017549555418
0.61101.9433937128060.151880365110466
0.62101.9731325366050.157603269916265
0.63102.0043822386770.165479359809414
0.64102.0375174705020.175443562405457
0.65102.0728828488370.187299755954886
0.66102.1107505684190.2002355340275
0.67102.1512829231340.213679206886202
0.68102.1945087901450.226589976908495
0.69102.2403219318660.238065636775864
0.7102.288505276740.247409825882874
0.71102.3387796457290.254432528508978
0.72102.3908690466910.259162187502802
0.73102.4445696381880.262315745675439
0.74102.4998077813420.264818429520501
0.75102.5566754693280.267669630261996
0.76102.6154384593320.271953825826406
0.77102.6765212556360.278126038173596
0.78102.7404797796020.286632099055323
0.79102.8079730650490.297336071350677
0.8102.8797376306870.310389868153147
0.81102.9565544403240.325834536131545
0.82103.039185628580.343503989195599
0.83103.1282566596130.363165453371876
0.84103.2240778647770.383307846498636
0.85103.3264376436950.401367203257706
0.86103.434444770550.413928798589777
0.87103.5465232883870.417426976927831
0.88103.6606421064360.409897871152237
0.89103.7747804096960.391594180232024
0.9103.8875104114840.365848924828078
0.91103.9984761207870.338207659170574
0.92104.1085243062930.314340980135022
0.93104.2193310781520.297228852669344
0.94104.332535793720.285391086305306
0.95104.4485821505880.273410166841739
0.96104.5656162502380.253516756556065
0.97104.6787925734120.218539286312003
0.98104.780008093470.167588047374113
0.99104.857879951630.115326812119786

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.7684876999537 & 0.0850472264134463 \tabularnewline
0.02 & 98.8405887016309 & 0.197989930087825 \tabularnewline
0.03 & 98.9558085371905 & 0.292648572700883 \tabularnewline
0.04 & 99.1023406171871 & 0.360073003372555 \tabularnewline
0.05 & 99.2674897675629 & 0.414474064939429 \tabularnewline
0.06 & 99.442915337836 & 0.466901499556049 \tabularnewline
0.07 & 99.6238336422583 & 0.513241553504971 \tabularnewline
0.08 & 99.806024671098 & 0.541005641157784 \tabularnewline
0.09 & 99.9839842999059 & 0.539992105166881 \tabularnewline
0.1 & 100.151167041655 & 0.50859416675145 \tabularnewline
0.11 & 100.30151044387 & 0.453293665678967 \tabularnewline
0.12 & 100.430995111763 & 0.385194851410557 \tabularnewline
0.13 & 100.538433215078 & 0.316128697800709 \tabularnewline
0.14 & 100.625326919353 & 0.255571481276606 \tabularnewline
0.15 & 100.695078469618 & 0.209730687798841 \tabularnewline
0.16 & 100.751967869615 & 0.180757645197963 \tabularnewline
0.17 & 100.800235123837 & 0.167232051240193 \tabularnewline
0.18 & 100.843446654964 & 0.164837730216804 \tabularnewline
0.19 & 100.884183694592 & 0.168539294643555 \tabularnewline
0.2 & 100.924001459846 & 0.173961886095093 \tabularnewline
0.21 & 100.963570769196 & 0.178150393876966 \tabularnewline
0.22 & 101.002912188313 & 0.179427945100519 \tabularnewline
0.23 & 101.041649984449 & 0.177319935736002 \tabularnewline
0.24 & 101.079237005418 & 0.171787071308114 \tabularnewline
0.25 & 101.115124846947 & 0.16363885786817 \tabularnewline
0.26 & 101.148872516288 & 0.153506167882409 \tabularnewline
0.27 & 101.180199654112 & 0.142420232356647 \tabularnewline
0.28 & 101.208997202097 & 0.131186432031596 \tabularnewline
0.29 & 101.235310245537 & 0.120367535866406 \tabularnewline
0.3 & 101.259306254697 & 0.110665694388877 \tabularnewline
0.31 & 101.281238794813 & 0.10213847800843 \tabularnewline
0.32 & 101.301413313572 & 0.0952678062910732 \tabularnewline
0.33 & 101.320158635408 & 0.0899474896860522 \tabularnewline
0.34 & 101.337805572198 & 0.0862958854788811 \tabularnewline
0.35 & 101.354672555103 & 0.0839808008817862 \tabularnewline
0.36 & 101.371057241884 & 0.0832392726306852 \tabularnewline
0.37 & 101.387232520631 & 0.083647169133082 \tabularnewline
0.38 & 101.40344514262 & 0.085368744276032 \tabularnewline
0.39 & 101.419915341306 & 0.0880231675568028 \tabularnewline
0.4 & 101.436836188682 & 0.0916164475669366 \tabularnewline
0.41 & 101.454372019752 & 0.0960355676140599 \tabularnewline
0.42 & 101.472655893677 & 0.101004501205074 \tabularnewline
0.43 & 101.491786613446 & 0.106418724321309 \tabularnewline
0.44 & 101.51182617343 & 0.111889271726515 \tabularnewline
0.45 & 101.532798577931 & 0.117452768974027 \tabularnewline
0.46 & 101.554690775471 & 0.122754540273784 \tabularnewline
0.47 & 101.577456052231 & 0.127546962136005 \tabularnewline
0.48 & 101.601019741536 & 0.131780011775915 \tabularnewline
0.49 & 101.625286672064 & 0.135312412834922 \tabularnewline
0.5 & 101.65014951718 & 0.138187449742067 \tabularnewline
0.51 & 101.675497196464 & 0.140388984698578 \tabularnewline
0.52 & 101.701222722799 & 0.141918266807471 \tabularnewline
0.53 & 101.7272303125 & 0.142913037974378 \tabularnewline
0.54 & 101.753442045225 & 0.143485628132517 \tabularnewline
0.55 & 101.779804703898 & 0.143754786012008 \tabularnewline
0.56 & 101.806297481833 & 0.143860387911187 \tabularnewline
0.57 & 101.832940912765 & 0.144042417629234 \tabularnewline
0.58 & 101.859806659177 & 0.14454310584617 \tabularnewline
0.59 & 101.887026810469 & 0.145721775277043 \tabularnewline
0.6 & 101.914800343033 & 0.148017549555418 \tabularnewline
0.61 & 101.943393712806 & 0.151880365110466 \tabularnewline
0.62 & 101.973132536605 & 0.157603269916265 \tabularnewline
0.63 & 102.004382238677 & 0.165479359809414 \tabularnewline
0.64 & 102.037517470502 & 0.175443562405457 \tabularnewline
0.65 & 102.072882848837 & 0.187299755954886 \tabularnewline
0.66 & 102.110750568419 & 0.2002355340275 \tabularnewline
0.67 & 102.151282923134 & 0.213679206886202 \tabularnewline
0.68 & 102.194508790145 & 0.226589976908495 \tabularnewline
0.69 & 102.240321931866 & 0.238065636775864 \tabularnewline
0.7 & 102.28850527674 & 0.247409825882874 \tabularnewline
0.71 & 102.338779645729 & 0.254432528508978 \tabularnewline
0.72 & 102.390869046691 & 0.259162187502802 \tabularnewline
0.73 & 102.444569638188 & 0.262315745675439 \tabularnewline
0.74 & 102.499807781342 & 0.264818429520501 \tabularnewline
0.75 & 102.556675469328 & 0.267669630261996 \tabularnewline
0.76 & 102.615438459332 & 0.271953825826406 \tabularnewline
0.77 & 102.676521255636 & 0.278126038173596 \tabularnewline
0.78 & 102.740479779602 & 0.286632099055323 \tabularnewline
0.79 & 102.807973065049 & 0.297336071350677 \tabularnewline
0.8 & 102.879737630687 & 0.310389868153147 \tabularnewline
0.81 & 102.956554440324 & 0.325834536131545 \tabularnewline
0.82 & 103.03918562858 & 0.343503989195599 \tabularnewline
0.83 & 103.128256659613 & 0.363165453371876 \tabularnewline
0.84 & 103.224077864777 & 0.383307846498636 \tabularnewline
0.85 & 103.326437643695 & 0.401367203257706 \tabularnewline
0.86 & 103.43444477055 & 0.413928798589777 \tabularnewline
0.87 & 103.546523288387 & 0.417426976927831 \tabularnewline
0.88 & 103.660642106436 & 0.409897871152237 \tabularnewline
0.89 & 103.774780409696 & 0.391594180232024 \tabularnewline
0.9 & 103.887510411484 & 0.365848924828078 \tabularnewline
0.91 & 103.998476120787 & 0.338207659170574 \tabularnewline
0.92 & 104.108524306293 & 0.314340980135022 \tabularnewline
0.93 & 104.219331078152 & 0.297228852669344 \tabularnewline
0.94 & 104.33253579372 & 0.285391086305306 \tabularnewline
0.95 & 104.448582150588 & 0.273410166841739 \tabularnewline
0.96 & 104.565616250238 & 0.253516756556065 \tabularnewline
0.97 & 104.678792573412 & 0.218539286312003 \tabularnewline
0.98 & 104.78000809347 & 0.167588047374113 \tabularnewline
0.99 & 104.85787995163 & 0.115326812119786 \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]98.7684876999537[/C][C]0.0850472264134463[/C][/ROW]
[ROW][C]0.02[/C][C]98.8405887016309[/C][C]0.197989930087825[/C][/ROW]
[ROW][C]0.03[/C][C]98.9558085371905[/C][C]0.292648572700883[/C][/ROW]
[ROW][C]0.04[/C][C]99.1023406171871[/C][C]0.360073003372555[/C][/ROW]
[ROW][C]0.05[/C][C]99.2674897675629[/C][C]0.414474064939429[/C][/ROW]
[ROW][C]0.06[/C][C]99.442915337836[/C][C]0.466901499556049[/C][/ROW]
[ROW][C]0.07[/C][C]99.6238336422583[/C][C]0.513241553504971[/C][/ROW]
[ROW][C]0.08[/C][C]99.806024671098[/C][C]0.541005641157784[/C][/ROW]
[ROW][C]0.09[/C][C]99.9839842999059[/C][C]0.539992105166881[/C][/ROW]
[ROW][C]0.1[/C][C]100.151167041655[/C][C]0.50859416675145[/C][/ROW]
[ROW][C]0.11[/C][C]100.30151044387[/C][C]0.453293665678967[/C][/ROW]
[ROW][C]0.12[/C][C]100.430995111763[/C][C]0.385194851410557[/C][/ROW]
[ROW][C]0.13[/C][C]100.538433215078[/C][C]0.316128697800709[/C][/ROW]
[ROW][C]0.14[/C][C]100.625326919353[/C][C]0.255571481276606[/C][/ROW]
[ROW][C]0.15[/C][C]100.695078469618[/C][C]0.209730687798841[/C][/ROW]
[ROW][C]0.16[/C][C]100.751967869615[/C][C]0.180757645197963[/C][/ROW]
[ROW][C]0.17[/C][C]100.800235123837[/C][C]0.167232051240193[/C][/ROW]
[ROW][C]0.18[/C][C]100.843446654964[/C][C]0.164837730216804[/C][/ROW]
[ROW][C]0.19[/C][C]100.884183694592[/C][C]0.168539294643555[/C][/ROW]
[ROW][C]0.2[/C][C]100.924001459846[/C][C]0.173961886095093[/C][/ROW]
[ROW][C]0.21[/C][C]100.963570769196[/C][C]0.178150393876966[/C][/ROW]
[ROW][C]0.22[/C][C]101.002912188313[/C][C]0.179427945100519[/C][/ROW]
[ROW][C]0.23[/C][C]101.041649984449[/C][C]0.177319935736002[/C][/ROW]
[ROW][C]0.24[/C][C]101.079237005418[/C][C]0.171787071308114[/C][/ROW]
[ROW][C]0.25[/C][C]101.115124846947[/C][C]0.16363885786817[/C][/ROW]
[ROW][C]0.26[/C][C]101.148872516288[/C][C]0.153506167882409[/C][/ROW]
[ROW][C]0.27[/C][C]101.180199654112[/C][C]0.142420232356647[/C][/ROW]
[ROW][C]0.28[/C][C]101.208997202097[/C][C]0.131186432031596[/C][/ROW]
[ROW][C]0.29[/C][C]101.235310245537[/C][C]0.120367535866406[/C][/ROW]
[ROW][C]0.3[/C][C]101.259306254697[/C][C]0.110665694388877[/C][/ROW]
[ROW][C]0.31[/C][C]101.281238794813[/C][C]0.10213847800843[/C][/ROW]
[ROW][C]0.32[/C][C]101.301413313572[/C][C]0.0952678062910732[/C][/ROW]
[ROW][C]0.33[/C][C]101.320158635408[/C][C]0.0899474896860522[/C][/ROW]
[ROW][C]0.34[/C][C]101.337805572198[/C][C]0.0862958854788811[/C][/ROW]
[ROW][C]0.35[/C][C]101.354672555103[/C][C]0.0839808008817862[/C][/ROW]
[ROW][C]0.36[/C][C]101.371057241884[/C][C]0.0832392726306852[/C][/ROW]
[ROW][C]0.37[/C][C]101.387232520631[/C][C]0.083647169133082[/C][/ROW]
[ROW][C]0.38[/C][C]101.40344514262[/C][C]0.085368744276032[/C][/ROW]
[ROW][C]0.39[/C][C]101.419915341306[/C][C]0.0880231675568028[/C][/ROW]
[ROW][C]0.4[/C][C]101.436836188682[/C][C]0.0916164475669366[/C][/ROW]
[ROW][C]0.41[/C][C]101.454372019752[/C][C]0.0960355676140599[/C][/ROW]
[ROW][C]0.42[/C][C]101.472655893677[/C][C]0.101004501205074[/C][/ROW]
[ROW][C]0.43[/C][C]101.491786613446[/C][C]0.106418724321309[/C][/ROW]
[ROW][C]0.44[/C][C]101.51182617343[/C][C]0.111889271726515[/C][/ROW]
[ROW][C]0.45[/C][C]101.532798577931[/C][C]0.117452768974027[/C][/ROW]
[ROW][C]0.46[/C][C]101.554690775471[/C][C]0.122754540273784[/C][/ROW]
[ROW][C]0.47[/C][C]101.577456052231[/C][C]0.127546962136005[/C][/ROW]
[ROW][C]0.48[/C][C]101.601019741536[/C][C]0.131780011775915[/C][/ROW]
[ROW][C]0.49[/C][C]101.625286672064[/C][C]0.135312412834922[/C][/ROW]
[ROW][C]0.5[/C][C]101.65014951718[/C][C]0.138187449742067[/C][/ROW]
[ROW][C]0.51[/C][C]101.675497196464[/C][C]0.140388984698578[/C][/ROW]
[ROW][C]0.52[/C][C]101.701222722799[/C][C]0.141918266807471[/C][/ROW]
[ROW][C]0.53[/C][C]101.7272303125[/C][C]0.142913037974378[/C][/ROW]
[ROW][C]0.54[/C][C]101.753442045225[/C][C]0.143485628132517[/C][/ROW]
[ROW][C]0.55[/C][C]101.779804703898[/C][C]0.143754786012008[/C][/ROW]
[ROW][C]0.56[/C][C]101.806297481833[/C][C]0.143860387911187[/C][/ROW]
[ROW][C]0.57[/C][C]101.832940912765[/C][C]0.144042417629234[/C][/ROW]
[ROW][C]0.58[/C][C]101.859806659177[/C][C]0.14454310584617[/C][/ROW]
[ROW][C]0.59[/C][C]101.887026810469[/C][C]0.145721775277043[/C][/ROW]
[ROW][C]0.6[/C][C]101.914800343033[/C][C]0.148017549555418[/C][/ROW]
[ROW][C]0.61[/C][C]101.943393712806[/C][C]0.151880365110466[/C][/ROW]
[ROW][C]0.62[/C][C]101.973132536605[/C][C]0.157603269916265[/C][/ROW]
[ROW][C]0.63[/C][C]102.004382238677[/C][C]0.165479359809414[/C][/ROW]
[ROW][C]0.64[/C][C]102.037517470502[/C][C]0.175443562405457[/C][/ROW]
[ROW][C]0.65[/C][C]102.072882848837[/C][C]0.187299755954886[/C][/ROW]
[ROW][C]0.66[/C][C]102.110750568419[/C][C]0.2002355340275[/C][/ROW]
[ROW][C]0.67[/C][C]102.151282923134[/C][C]0.213679206886202[/C][/ROW]
[ROW][C]0.68[/C][C]102.194508790145[/C][C]0.226589976908495[/C][/ROW]
[ROW][C]0.69[/C][C]102.240321931866[/C][C]0.238065636775864[/C][/ROW]
[ROW][C]0.7[/C][C]102.28850527674[/C][C]0.247409825882874[/C][/ROW]
[ROW][C]0.71[/C][C]102.338779645729[/C][C]0.254432528508978[/C][/ROW]
[ROW][C]0.72[/C][C]102.390869046691[/C][C]0.259162187502802[/C][/ROW]
[ROW][C]0.73[/C][C]102.444569638188[/C][C]0.262315745675439[/C][/ROW]
[ROW][C]0.74[/C][C]102.499807781342[/C][C]0.264818429520501[/C][/ROW]
[ROW][C]0.75[/C][C]102.556675469328[/C][C]0.267669630261996[/C][/ROW]
[ROW][C]0.76[/C][C]102.615438459332[/C][C]0.271953825826406[/C][/ROW]
[ROW][C]0.77[/C][C]102.676521255636[/C][C]0.278126038173596[/C][/ROW]
[ROW][C]0.78[/C][C]102.740479779602[/C][C]0.286632099055323[/C][/ROW]
[ROW][C]0.79[/C][C]102.807973065049[/C][C]0.297336071350677[/C][/ROW]
[ROW][C]0.8[/C][C]102.879737630687[/C][C]0.310389868153147[/C][/ROW]
[ROW][C]0.81[/C][C]102.956554440324[/C][C]0.325834536131545[/C][/ROW]
[ROW][C]0.82[/C][C]103.03918562858[/C][C]0.343503989195599[/C][/ROW]
[ROW][C]0.83[/C][C]103.128256659613[/C][C]0.363165453371876[/C][/ROW]
[ROW][C]0.84[/C][C]103.224077864777[/C][C]0.383307846498636[/C][/ROW]
[ROW][C]0.85[/C][C]103.326437643695[/C][C]0.401367203257706[/C][/ROW]
[ROW][C]0.86[/C][C]103.43444477055[/C][C]0.413928798589777[/C][/ROW]
[ROW][C]0.87[/C][C]103.546523288387[/C][C]0.417426976927831[/C][/ROW]
[ROW][C]0.88[/C][C]103.660642106436[/C][C]0.409897871152237[/C][/ROW]
[ROW][C]0.89[/C][C]103.774780409696[/C][C]0.391594180232024[/C][/ROW]
[ROW][C]0.9[/C][C]103.887510411484[/C][C]0.365848924828078[/C][/ROW]
[ROW][C]0.91[/C][C]103.998476120787[/C][C]0.338207659170574[/C][/ROW]
[ROW][C]0.92[/C][C]104.108524306293[/C][C]0.314340980135022[/C][/ROW]
[ROW][C]0.93[/C][C]104.219331078152[/C][C]0.297228852669344[/C][/ROW]
[ROW][C]0.94[/C][C]104.33253579372[/C][C]0.285391086305306[/C][/ROW]
[ROW][C]0.95[/C][C]104.448582150588[/C][C]0.273410166841739[/C][/ROW]
[ROW][C]0.96[/C][C]104.565616250238[/C][C]0.253516756556065[/C][/ROW]
[ROW][C]0.97[/C][C]104.678792573412[/C][C]0.218539286312003[/C][/ROW]
[ROW][C]0.98[/C][C]104.78000809347[/C][C]0.167588047374113[/C][/ROW]
[ROW][C]0.99[/C][C]104.85787995163[/C][C]0.115326812119786[/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
0.0198.76848769995370.0850472264134463
0.0298.84058870163090.197989930087825
0.0398.95580853719050.292648572700883
0.0499.10234061718710.360073003372555
0.0599.26748976756290.414474064939429
0.0699.4429153378360.466901499556049
0.0799.62383364225830.513241553504971
0.0899.8060246710980.541005641157784
0.0999.98398429990590.539992105166881
0.1100.1511670416550.50859416675145
0.11100.301510443870.453293665678967
0.12100.4309951117630.385194851410557
0.13100.5384332150780.316128697800709
0.14100.6253269193530.255571481276606
0.15100.6950784696180.209730687798841
0.16100.7519678696150.180757645197963
0.17100.8002351238370.167232051240193
0.18100.8434466549640.164837730216804
0.19100.8841836945920.168539294643555
0.2100.9240014598460.173961886095093
0.21100.9635707691960.178150393876966
0.22101.0029121883130.179427945100519
0.23101.0416499844490.177319935736002
0.24101.0792370054180.171787071308114
0.25101.1151248469470.16363885786817
0.26101.1488725162880.153506167882409
0.27101.1801996541120.142420232356647
0.28101.2089972020970.131186432031596
0.29101.2353102455370.120367535866406
0.3101.2593062546970.110665694388877
0.31101.2812387948130.10213847800843
0.32101.3014133135720.0952678062910732
0.33101.3201586354080.0899474896860522
0.34101.3378055721980.0862958854788811
0.35101.3546725551030.0839808008817862
0.36101.3710572418840.0832392726306852
0.37101.3872325206310.083647169133082
0.38101.403445142620.085368744276032
0.39101.4199153413060.0880231675568028
0.4101.4368361886820.0916164475669366
0.41101.4543720197520.0960355676140599
0.42101.4726558936770.101004501205074
0.43101.4917866134460.106418724321309
0.44101.511826173430.111889271726515
0.45101.5327985779310.117452768974027
0.46101.5546907754710.122754540273784
0.47101.5774560522310.127546962136005
0.48101.6010197415360.131780011775915
0.49101.6252866720640.135312412834922
0.5101.650149517180.138187449742067
0.51101.6754971964640.140388984698578
0.52101.7012227227990.141918266807471
0.53101.72723031250.142913037974378
0.54101.7534420452250.143485628132517
0.55101.7798047038980.143754786012008
0.56101.8062974818330.143860387911187
0.57101.8329409127650.144042417629234
0.58101.8598066591770.14454310584617
0.59101.8870268104690.145721775277043
0.6101.9148003430330.148017549555418
0.61101.9433937128060.151880365110466
0.62101.9731325366050.157603269916265
0.63102.0043822386770.165479359809414
0.64102.0375174705020.175443562405457
0.65102.0728828488370.187299755954886
0.66102.1107505684190.2002355340275
0.67102.1512829231340.213679206886202
0.68102.1945087901450.226589976908495
0.69102.2403219318660.238065636775864
0.7102.288505276740.247409825882874
0.71102.3387796457290.254432528508978
0.72102.3908690466910.259162187502802
0.73102.4445696381880.262315745675439
0.74102.4998077813420.264818429520501
0.75102.5566754693280.267669630261996
0.76102.6154384593320.271953825826406
0.77102.6765212556360.278126038173596
0.78102.7404797796020.286632099055323
0.79102.8079730650490.297336071350677
0.8102.8797376306870.310389868153147
0.81102.9565544403240.325834536131545
0.82103.039185628580.343503989195599
0.83103.1282566596130.363165453371876
0.84103.2240778647770.383307846498636
0.85103.3264376436950.401367203257706
0.86103.434444770550.413928798589777
0.87103.5465232883870.417426976927831
0.88103.6606421064360.409897871152237
0.89103.7747804096960.391594180232024
0.9103.8875104114840.365848924828078
0.91103.9984761207870.338207659170574
0.92104.1085243062930.314340980135022
0.93104.2193310781520.297228852669344
0.94104.332535793720.285391086305306
0.95104.4485821505880.273410166841739
0.96104.5656162502380.253516756556065
0.97104.6787925734120.218539286312003
0.98104.780008093470.167588047374113
0.99104.857879951630.115326812119786


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')