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 computationSat, 12 Apr 2014 07:28:41 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Apr/12/t1397302201ewfe3x4ni77m64b.htm/, Retrieved Wed, 15 May 2024 19:04:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234432, Retrieved Wed, 15 May 2024 19:04:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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] [] [2014-04-12 11:28:41] [0f40cba20c222b7b9166042309a72bac] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
55.64
56.13
56.69
56.8
56.93
57
57.01
57.21
57.17
57.36
57.29
57.26
57.29
57.68
58.19
58.34
58.46
58.67
58.72
58.74
58.77
58.84
59.13
59.12
59.12
59.33
59.49
59.67
59.7
59.73
59.74
59.62
59.6
59.98
60.05
60.06
60.1
60.18
60.38
60.52
60.78
60.72
60.72
60.86
60.99
61.11
61.17
61.19
61.19
61.22
61.19
60.82
60.6
60.15
60.14
60.2
60.36
60.38
60.44
60.47

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234432&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234432&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0155.77302066312260.475823247341696
0.0255.97844259431070.46401560876643
0.0356.20134766315210.433184975338205
0.0456.40397354908840.379431029021117
0.0556.57113940537180.315577078275107
0.0656.70246457699820.257416087919834
0.0756.80417425785920.213793279157843
0.0856.88404525567910.185901668348733
0.0956.94904317102820.170624707243979
0.157.00457269454140.164281753626555
0.1157.05454407331530.164358245805111
0.1257.1017634371280.169935046956582
0.1357.14836571473960.18133354138083
0.1457.19615046565320.199599388484295
0.1557.2467705557930.225777660007388
0.1657.30177568353520.259765415399709
0.1757.36254203720110.300489654455784
0.1857.4301353383620.34567608788432
0.1957.50516025384140.392109107840021
0.257.58764480833190.436258161183627
0.2157.67699498741690.4747720260892
0.2257.77203538485240.504704215375928
0.2357.87113122615750.524096544507049
0.2457.97237006964690.532227187749353
0.2558.07377123174730.529345662291763
0.2658.17348871188610.516900946232736
0.2758.26997827277610.49707422172191
0.2858.36210908349770.472382967026853
0.2958.44921206309090.44560286163451
0.358.5310680738350.419128756052721
0.3158.60784747019450.395032590673969
0.3258.68001727796750.37477430586493
0.3358.74823346685290.358896686041839
0.3458.81323407809350.347555377096961
0.3558.87574541072560.340224446217294
0.3658.93640912341190.336040694034668
0.3758.99573385647130.333844828288105
0.3859.05407140672080.332694853973622
0.3959.11161487158120.331550030939533
0.459.16841453784570.329714332348174
0.4159.2244064785930.326561977249656
0.4259.27944862563070.321781814665662
0.4359.33335930534630.315384699634306
0.4459.38595372726210.307467381266525
0.4559.43707463623690.298454265004027
0.4659.48661427303190.288656508220023
0.4759.53452593513060.278745104692047
0.4859.58082475532850.269073199024886
0.4959.62557871863610.260091841708238
0.559.66889224916330.251942487674013
0.5159.71088570862080.244786829484444
0.5259.75167465812640.238387530882627
0.5359.79135261433790.232508207334974
0.5459.82998026267540.22679196162081
0.5559.86758279132030.220938547120708
0.5659.90415541610170.214668452894179
0.5759.93967558839710.207910056411117
0.5859.9741191329310.2006491596604
0.5960.0074769029850.193197129316961
0.660.03976859777040.185715423050717
0.6160.07105113751650.178597360746046
0.6260.10142026231320.172216711016068
0.6360.13100552289870.16675412218142
0.6460.15996022602720.162366484418394
0.6560.18844886832480.159050481763518
0.6660.21663492126910.156724324635137
0.6760.24467144609970.155156288436014
0.6860.27269602283060.154210303402837
0.6960.30083012994650.153679264002948
0.760.32918177157390.153471556885187
0.7160.35784919786340.153621722277718
0.7260.38692330650990.154064889052461
0.7360.41648688736810.154853767247738
0.7460.44661019088360.155992405933422
0.7560.47734404116020.157296507685666
0.7660.50871336549790.158596403602208
0.7760.54071498433760.159613702066523
0.7860.57332327908450.160124306188457
0.7960.60650564420110.159954560328169
0.860.64024652275920.159196448143686
0.8160.67457486621860.158055610903801
0.8260.70958604099390.156943927938712
0.8360.74544683808490.156413259529102
0.8460.78237270099610.156845991093405
0.8560.82057061597710.158401416911745
0.8660.86014953740420.16062563482369
0.8760.90101168958530.162498209431492
0.8860.9427499793450.162571171824768
0.8960.98458513085220.15918561966977
0.961.02537672365950.150969671853422
0.9161.06373214792410.13718963087673
0.9261.09821689169970.118170798380667
0.9361.12764267683360.0953882345263257
0.9461.15138196859220.071260952963747
0.9561.16962771874110.0487264016442773
0.9661.18347493893190.0307312448543604
0.9761.19464419368060.0201880152123703
0.9861.20467559699620.0192367936031727
0.9961.21373432086940.0243847580646272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 55.7730206631226 & 0.475823247341696 \tabularnewline
0.02 & 55.9784425943107 & 0.46401560876643 \tabularnewline
0.03 & 56.2013476631521 & 0.433184975338205 \tabularnewline
0.04 & 56.4039735490884 & 0.379431029021117 \tabularnewline
0.05 & 56.5711394053718 & 0.315577078275107 \tabularnewline
0.06 & 56.7024645769982 & 0.257416087919834 \tabularnewline
0.07 & 56.8041742578592 & 0.213793279157843 \tabularnewline
0.08 & 56.8840452556791 & 0.185901668348733 \tabularnewline
0.09 & 56.9490431710282 & 0.170624707243979 \tabularnewline
0.1 & 57.0045726945414 & 0.164281753626555 \tabularnewline
0.11 & 57.0545440733153 & 0.164358245805111 \tabularnewline
0.12 & 57.101763437128 & 0.169935046956582 \tabularnewline
0.13 & 57.1483657147396 & 0.18133354138083 \tabularnewline
0.14 & 57.1961504656532 & 0.199599388484295 \tabularnewline
0.15 & 57.246770555793 & 0.225777660007388 \tabularnewline
0.16 & 57.3017756835352 & 0.259765415399709 \tabularnewline
0.17 & 57.3625420372011 & 0.300489654455784 \tabularnewline
0.18 & 57.430135338362 & 0.34567608788432 \tabularnewline
0.19 & 57.5051602538414 & 0.392109107840021 \tabularnewline
0.2 & 57.5876448083319 & 0.436258161183627 \tabularnewline
0.21 & 57.6769949874169 & 0.4747720260892 \tabularnewline
0.22 & 57.7720353848524 & 0.504704215375928 \tabularnewline
0.23 & 57.8711312261575 & 0.524096544507049 \tabularnewline
0.24 & 57.9723700696469 & 0.532227187749353 \tabularnewline
0.25 & 58.0737712317473 & 0.529345662291763 \tabularnewline
0.26 & 58.1734887118861 & 0.516900946232736 \tabularnewline
0.27 & 58.2699782727761 & 0.49707422172191 \tabularnewline
0.28 & 58.3621090834977 & 0.472382967026853 \tabularnewline
0.29 & 58.4492120630909 & 0.44560286163451 \tabularnewline
0.3 & 58.531068073835 & 0.419128756052721 \tabularnewline
0.31 & 58.6078474701945 & 0.395032590673969 \tabularnewline
0.32 & 58.6800172779675 & 0.37477430586493 \tabularnewline
0.33 & 58.7482334668529 & 0.358896686041839 \tabularnewline
0.34 & 58.8132340780935 & 0.347555377096961 \tabularnewline
0.35 & 58.8757454107256 & 0.340224446217294 \tabularnewline
0.36 & 58.9364091234119 & 0.336040694034668 \tabularnewline
0.37 & 58.9957338564713 & 0.333844828288105 \tabularnewline
0.38 & 59.0540714067208 & 0.332694853973622 \tabularnewline
0.39 & 59.1116148715812 & 0.331550030939533 \tabularnewline
0.4 & 59.1684145378457 & 0.329714332348174 \tabularnewline
0.41 & 59.224406478593 & 0.326561977249656 \tabularnewline
0.42 & 59.2794486256307 & 0.321781814665662 \tabularnewline
0.43 & 59.3333593053463 & 0.315384699634306 \tabularnewline
0.44 & 59.3859537272621 & 0.307467381266525 \tabularnewline
0.45 & 59.4370746362369 & 0.298454265004027 \tabularnewline
0.46 & 59.4866142730319 & 0.288656508220023 \tabularnewline
0.47 & 59.5345259351306 & 0.278745104692047 \tabularnewline
0.48 & 59.5808247553285 & 0.269073199024886 \tabularnewline
0.49 & 59.6255787186361 & 0.260091841708238 \tabularnewline
0.5 & 59.6688922491633 & 0.251942487674013 \tabularnewline
0.51 & 59.7108857086208 & 0.244786829484444 \tabularnewline
0.52 & 59.7516746581264 & 0.238387530882627 \tabularnewline
0.53 & 59.7913526143379 & 0.232508207334974 \tabularnewline
0.54 & 59.8299802626754 & 0.22679196162081 \tabularnewline
0.55 & 59.8675827913203 & 0.220938547120708 \tabularnewline
0.56 & 59.9041554161017 & 0.214668452894179 \tabularnewline
0.57 & 59.9396755883971 & 0.207910056411117 \tabularnewline
0.58 & 59.974119132931 & 0.2006491596604 \tabularnewline
0.59 & 60.007476902985 & 0.193197129316961 \tabularnewline
0.6 & 60.0397685977704 & 0.185715423050717 \tabularnewline
0.61 & 60.0710511375165 & 0.178597360746046 \tabularnewline
0.62 & 60.1014202623132 & 0.172216711016068 \tabularnewline
0.63 & 60.1310055228987 & 0.16675412218142 \tabularnewline
0.64 & 60.1599602260272 & 0.162366484418394 \tabularnewline
0.65 & 60.1884488683248 & 0.159050481763518 \tabularnewline
0.66 & 60.2166349212691 & 0.156724324635137 \tabularnewline
0.67 & 60.2446714460997 & 0.155156288436014 \tabularnewline
0.68 & 60.2726960228306 & 0.154210303402837 \tabularnewline
0.69 & 60.3008301299465 & 0.153679264002948 \tabularnewline
0.7 & 60.3291817715739 & 0.153471556885187 \tabularnewline
0.71 & 60.3578491978634 & 0.153621722277718 \tabularnewline
0.72 & 60.3869233065099 & 0.154064889052461 \tabularnewline
0.73 & 60.4164868873681 & 0.154853767247738 \tabularnewline
0.74 & 60.4466101908836 & 0.155992405933422 \tabularnewline
0.75 & 60.4773440411602 & 0.157296507685666 \tabularnewline
0.76 & 60.5087133654979 & 0.158596403602208 \tabularnewline
0.77 & 60.5407149843376 & 0.159613702066523 \tabularnewline
0.78 & 60.5733232790845 & 0.160124306188457 \tabularnewline
0.79 & 60.6065056442011 & 0.159954560328169 \tabularnewline
0.8 & 60.6402465227592 & 0.159196448143686 \tabularnewline
0.81 & 60.6745748662186 & 0.158055610903801 \tabularnewline
0.82 & 60.7095860409939 & 0.156943927938712 \tabularnewline
0.83 & 60.7454468380849 & 0.156413259529102 \tabularnewline
0.84 & 60.7823727009961 & 0.156845991093405 \tabularnewline
0.85 & 60.8205706159771 & 0.158401416911745 \tabularnewline
0.86 & 60.8601495374042 & 0.16062563482369 \tabularnewline
0.87 & 60.9010116895853 & 0.162498209431492 \tabularnewline
0.88 & 60.942749979345 & 0.162571171824768 \tabularnewline
0.89 & 60.9845851308522 & 0.15918561966977 \tabularnewline
0.9 & 61.0253767236595 & 0.150969671853422 \tabularnewline
0.91 & 61.0637321479241 & 0.13718963087673 \tabularnewline
0.92 & 61.0982168916997 & 0.118170798380667 \tabularnewline
0.93 & 61.1276426768336 & 0.0953882345263257 \tabularnewline
0.94 & 61.1513819685922 & 0.071260952963747 \tabularnewline
0.95 & 61.1696277187411 & 0.0487264016442773 \tabularnewline
0.96 & 61.1834749389319 & 0.0307312448543604 \tabularnewline
0.97 & 61.1946441936806 & 0.0201880152123703 \tabularnewline
0.98 & 61.2046755969962 & 0.0192367936031727 \tabularnewline
0.99 & 61.2137343208694 & 0.0243847580646272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234432&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]55.7730206631226[/C][C]0.475823247341696[/C][/ROW]
[ROW][C]0.02[/C][C]55.9784425943107[/C][C]0.46401560876643[/C][/ROW]
[ROW][C]0.03[/C][C]56.2013476631521[/C][C]0.433184975338205[/C][/ROW]
[ROW][C]0.04[/C][C]56.4039735490884[/C][C]0.379431029021117[/C][/ROW]
[ROW][C]0.05[/C][C]56.5711394053718[/C][C]0.315577078275107[/C][/ROW]
[ROW][C]0.06[/C][C]56.7024645769982[/C][C]0.257416087919834[/C][/ROW]
[ROW][C]0.07[/C][C]56.8041742578592[/C][C]0.213793279157843[/C][/ROW]
[ROW][C]0.08[/C][C]56.8840452556791[/C][C]0.185901668348733[/C][/ROW]
[ROW][C]0.09[/C][C]56.9490431710282[/C][C]0.170624707243979[/C][/ROW]
[ROW][C]0.1[/C][C]57.0045726945414[/C][C]0.164281753626555[/C][/ROW]
[ROW][C]0.11[/C][C]57.0545440733153[/C][C]0.164358245805111[/C][/ROW]
[ROW][C]0.12[/C][C]57.101763437128[/C][C]0.169935046956582[/C][/ROW]
[ROW][C]0.13[/C][C]57.1483657147396[/C][C]0.18133354138083[/C][/ROW]
[ROW][C]0.14[/C][C]57.1961504656532[/C][C]0.199599388484295[/C][/ROW]
[ROW][C]0.15[/C][C]57.246770555793[/C][C]0.225777660007388[/C][/ROW]
[ROW][C]0.16[/C][C]57.3017756835352[/C][C]0.259765415399709[/C][/ROW]
[ROW][C]0.17[/C][C]57.3625420372011[/C][C]0.300489654455784[/C][/ROW]
[ROW][C]0.18[/C][C]57.430135338362[/C][C]0.34567608788432[/C][/ROW]
[ROW][C]0.19[/C][C]57.5051602538414[/C][C]0.392109107840021[/C][/ROW]
[ROW][C]0.2[/C][C]57.5876448083319[/C][C]0.436258161183627[/C][/ROW]
[ROW][C]0.21[/C][C]57.6769949874169[/C][C]0.4747720260892[/C][/ROW]
[ROW][C]0.22[/C][C]57.7720353848524[/C][C]0.504704215375928[/C][/ROW]
[ROW][C]0.23[/C][C]57.8711312261575[/C][C]0.524096544507049[/C][/ROW]
[ROW][C]0.24[/C][C]57.9723700696469[/C][C]0.532227187749353[/C][/ROW]
[ROW][C]0.25[/C][C]58.0737712317473[/C][C]0.529345662291763[/C][/ROW]
[ROW][C]0.26[/C][C]58.1734887118861[/C][C]0.516900946232736[/C][/ROW]
[ROW][C]0.27[/C][C]58.2699782727761[/C][C]0.49707422172191[/C][/ROW]
[ROW][C]0.28[/C][C]58.3621090834977[/C][C]0.472382967026853[/C][/ROW]
[ROW][C]0.29[/C][C]58.4492120630909[/C][C]0.44560286163451[/C][/ROW]
[ROW][C]0.3[/C][C]58.531068073835[/C][C]0.419128756052721[/C][/ROW]
[ROW][C]0.31[/C][C]58.6078474701945[/C][C]0.395032590673969[/C][/ROW]
[ROW][C]0.32[/C][C]58.6800172779675[/C][C]0.37477430586493[/C][/ROW]
[ROW][C]0.33[/C][C]58.7482334668529[/C][C]0.358896686041839[/C][/ROW]
[ROW][C]0.34[/C][C]58.8132340780935[/C][C]0.347555377096961[/C][/ROW]
[ROW][C]0.35[/C][C]58.8757454107256[/C][C]0.340224446217294[/C][/ROW]
[ROW][C]0.36[/C][C]58.9364091234119[/C][C]0.336040694034668[/C][/ROW]
[ROW][C]0.37[/C][C]58.9957338564713[/C][C]0.333844828288105[/C][/ROW]
[ROW][C]0.38[/C][C]59.0540714067208[/C][C]0.332694853973622[/C][/ROW]
[ROW][C]0.39[/C][C]59.1116148715812[/C][C]0.331550030939533[/C][/ROW]
[ROW][C]0.4[/C][C]59.1684145378457[/C][C]0.329714332348174[/C][/ROW]
[ROW][C]0.41[/C][C]59.224406478593[/C][C]0.326561977249656[/C][/ROW]
[ROW][C]0.42[/C][C]59.2794486256307[/C][C]0.321781814665662[/C][/ROW]
[ROW][C]0.43[/C][C]59.3333593053463[/C][C]0.315384699634306[/C][/ROW]
[ROW][C]0.44[/C][C]59.3859537272621[/C][C]0.307467381266525[/C][/ROW]
[ROW][C]0.45[/C][C]59.4370746362369[/C][C]0.298454265004027[/C][/ROW]
[ROW][C]0.46[/C][C]59.4866142730319[/C][C]0.288656508220023[/C][/ROW]
[ROW][C]0.47[/C][C]59.5345259351306[/C][C]0.278745104692047[/C][/ROW]
[ROW][C]0.48[/C][C]59.5808247553285[/C][C]0.269073199024886[/C][/ROW]
[ROW][C]0.49[/C][C]59.6255787186361[/C][C]0.260091841708238[/C][/ROW]
[ROW][C]0.5[/C][C]59.6688922491633[/C][C]0.251942487674013[/C][/ROW]
[ROW][C]0.51[/C][C]59.7108857086208[/C][C]0.244786829484444[/C][/ROW]
[ROW][C]0.52[/C][C]59.7516746581264[/C][C]0.238387530882627[/C][/ROW]
[ROW][C]0.53[/C][C]59.7913526143379[/C][C]0.232508207334974[/C][/ROW]
[ROW][C]0.54[/C][C]59.8299802626754[/C][C]0.22679196162081[/C][/ROW]
[ROW][C]0.55[/C][C]59.8675827913203[/C][C]0.220938547120708[/C][/ROW]
[ROW][C]0.56[/C][C]59.9041554161017[/C][C]0.214668452894179[/C][/ROW]
[ROW][C]0.57[/C][C]59.9396755883971[/C][C]0.207910056411117[/C][/ROW]
[ROW][C]0.58[/C][C]59.974119132931[/C][C]0.2006491596604[/C][/ROW]
[ROW][C]0.59[/C][C]60.007476902985[/C][C]0.193197129316961[/C][/ROW]
[ROW][C]0.6[/C][C]60.0397685977704[/C][C]0.185715423050717[/C][/ROW]
[ROW][C]0.61[/C][C]60.0710511375165[/C][C]0.178597360746046[/C][/ROW]
[ROW][C]0.62[/C][C]60.1014202623132[/C][C]0.172216711016068[/C][/ROW]
[ROW][C]0.63[/C][C]60.1310055228987[/C][C]0.16675412218142[/C][/ROW]
[ROW][C]0.64[/C][C]60.1599602260272[/C][C]0.162366484418394[/C][/ROW]
[ROW][C]0.65[/C][C]60.1884488683248[/C][C]0.159050481763518[/C][/ROW]
[ROW][C]0.66[/C][C]60.2166349212691[/C][C]0.156724324635137[/C][/ROW]
[ROW][C]0.67[/C][C]60.2446714460997[/C][C]0.155156288436014[/C][/ROW]
[ROW][C]0.68[/C][C]60.2726960228306[/C][C]0.154210303402837[/C][/ROW]
[ROW][C]0.69[/C][C]60.3008301299465[/C][C]0.153679264002948[/C][/ROW]
[ROW][C]0.7[/C][C]60.3291817715739[/C][C]0.153471556885187[/C][/ROW]
[ROW][C]0.71[/C][C]60.3578491978634[/C][C]0.153621722277718[/C][/ROW]
[ROW][C]0.72[/C][C]60.3869233065099[/C][C]0.154064889052461[/C][/ROW]
[ROW][C]0.73[/C][C]60.4164868873681[/C][C]0.154853767247738[/C][/ROW]
[ROW][C]0.74[/C][C]60.4466101908836[/C][C]0.155992405933422[/C][/ROW]
[ROW][C]0.75[/C][C]60.4773440411602[/C][C]0.157296507685666[/C][/ROW]
[ROW][C]0.76[/C][C]60.5087133654979[/C][C]0.158596403602208[/C][/ROW]
[ROW][C]0.77[/C][C]60.5407149843376[/C][C]0.159613702066523[/C][/ROW]
[ROW][C]0.78[/C][C]60.5733232790845[/C][C]0.160124306188457[/C][/ROW]
[ROW][C]0.79[/C][C]60.6065056442011[/C][C]0.159954560328169[/C][/ROW]
[ROW][C]0.8[/C][C]60.6402465227592[/C][C]0.159196448143686[/C][/ROW]
[ROW][C]0.81[/C][C]60.6745748662186[/C][C]0.158055610903801[/C][/ROW]
[ROW][C]0.82[/C][C]60.7095860409939[/C][C]0.156943927938712[/C][/ROW]
[ROW][C]0.83[/C][C]60.7454468380849[/C][C]0.156413259529102[/C][/ROW]
[ROW][C]0.84[/C][C]60.7823727009961[/C][C]0.156845991093405[/C][/ROW]
[ROW][C]0.85[/C][C]60.8205706159771[/C][C]0.158401416911745[/C][/ROW]
[ROW][C]0.86[/C][C]60.8601495374042[/C][C]0.16062563482369[/C][/ROW]
[ROW][C]0.87[/C][C]60.9010116895853[/C][C]0.162498209431492[/C][/ROW]
[ROW][C]0.88[/C][C]60.942749979345[/C][C]0.162571171824768[/C][/ROW]
[ROW][C]0.89[/C][C]60.9845851308522[/C][C]0.15918561966977[/C][/ROW]
[ROW][C]0.9[/C][C]61.0253767236595[/C][C]0.150969671853422[/C][/ROW]
[ROW][C]0.91[/C][C]61.0637321479241[/C][C]0.13718963087673[/C][/ROW]
[ROW][C]0.92[/C][C]61.0982168916997[/C][C]0.118170798380667[/C][/ROW]
[ROW][C]0.93[/C][C]61.1276426768336[/C][C]0.0953882345263257[/C][/ROW]
[ROW][C]0.94[/C][C]61.1513819685922[/C][C]0.071260952963747[/C][/ROW]
[ROW][C]0.95[/C][C]61.1696277187411[/C][C]0.0487264016442773[/C][/ROW]
[ROW][C]0.96[/C][C]61.1834749389319[/C][C]0.0307312448543604[/C][/ROW]
[ROW][C]0.97[/C][C]61.1946441936806[/C][C]0.0201880152123703[/C][/ROW]
[ROW][C]0.98[/C][C]61.2046755969962[/C][C]0.0192367936031727[/C][/ROW]
[ROW][C]0.99[/C][C]61.2137343208694[/C][C]0.0243847580646272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234432&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
0.0155.77302066312260.475823247341696
0.0255.97844259431070.46401560876643
0.0356.20134766315210.433184975338205
0.0456.40397354908840.379431029021117
0.0556.57113940537180.315577078275107
0.0656.70246457699820.257416087919834
0.0756.80417425785920.213793279157843
0.0856.88404525567910.185901668348733
0.0956.94904317102820.170624707243979
0.157.00457269454140.164281753626555
0.1157.05454407331530.164358245805111
0.1257.1017634371280.169935046956582
0.1357.14836571473960.18133354138083
0.1457.19615046565320.199599388484295
0.1557.2467705557930.225777660007388
0.1657.30177568353520.259765415399709
0.1757.36254203720110.300489654455784
0.1857.4301353383620.34567608788432
0.1957.50516025384140.392109107840021
0.257.58764480833190.436258161183627
0.2157.67699498741690.4747720260892
0.2257.77203538485240.504704215375928
0.2357.87113122615750.524096544507049
0.2457.97237006964690.532227187749353
0.2558.07377123174730.529345662291763
0.2658.17348871188610.516900946232736
0.2758.26997827277610.49707422172191
0.2858.36210908349770.472382967026853
0.2958.44921206309090.44560286163451
0.358.5310680738350.419128756052721
0.3158.60784747019450.395032590673969
0.3258.68001727796750.37477430586493
0.3358.74823346685290.358896686041839
0.3458.81323407809350.347555377096961
0.3558.87574541072560.340224446217294
0.3658.93640912341190.336040694034668
0.3758.99573385647130.333844828288105
0.3859.05407140672080.332694853973622
0.3959.11161487158120.331550030939533
0.459.16841453784570.329714332348174
0.4159.2244064785930.326561977249656
0.4259.27944862563070.321781814665662
0.4359.33335930534630.315384699634306
0.4459.38595372726210.307467381266525
0.4559.43707463623690.298454265004027
0.4659.48661427303190.288656508220023
0.4759.53452593513060.278745104692047
0.4859.58082475532850.269073199024886
0.4959.62557871863610.260091841708238
0.559.66889224916330.251942487674013
0.5159.71088570862080.244786829484444
0.5259.75167465812640.238387530882627
0.5359.79135261433790.232508207334974
0.5459.82998026267540.22679196162081
0.5559.86758279132030.220938547120708
0.5659.90415541610170.214668452894179
0.5759.93967558839710.207910056411117
0.5859.9741191329310.2006491596604
0.5960.0074769029850.193197129316961
0.660.03976859777040.185715423050717
0.6160.07105113751650.178597360746046
0.6260.10142026231320.172216711016068
0.6360.13100552289870.16675412218142
0.6460.15996022602720.162366484418394
0.6560.18844886832480.159050481763518
0.6660.21663492126910.156724324635137
0.6760.24467144609970.155156288436014
0.6860.27269602283060.154210303402837
0.6960.30083012994650.153679264002948
0.760.32918177157390.153471556885187
0.7160.35784919786340.153621722277718
0.7260.38692330650990.154064889052461
0.7360.41648688736810.154853767247738
0.7460.44661019088360.155992405933422
0.7560.47734404116020.157296507685666
0.7660.50871336549790.158596403602208
0.7760.54071498433760.159613702066523
0.7860.57332327908450.160124306188457
0.7960.60650564420110.159954560328169
0.860.64024652275920.159196448143686
0.8160.67457486621860.158055610903801
0.8260.70958604099390.156943927938712
0.8360.74544683808490.156413259529102
0.8460.78237270099610.156845991093405
0.8560.82057061597710.158401416911745
0.8660.86014953740420.16062563482369
0.8760.90101168958530.162498209431492
0.8860.9427499793450.162571171824768
0.8960.98458513085220.15918561966977
0.961.02537672365950.150969671853422
0.9161.06373214792410.13718963087673
0.9261.09821689169970.118170798380667
0.9361.12764267683360.0953882345263257
0.9461.15138196859220.071260952963747
0.9561.16962771874110.0487264016442773
0.9661.18347493893190.0307312448543604
0.9761.19464419368060.0201880152123703
0.9861.20467559699620.0192367936031727
0.9961.21373432086940.0243847580646272


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')