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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, 15 Feb 2014 06:42:18 -0500
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/Feb/15/t1392464628mbfpiy13guqlndl.htm/, Retrieved Thu, 16 May 2024 16:33:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233694, Retrieved Thu, 16 May 2024 16:33:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

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] [] [2014-02-15 11:42:18] [73938b6dd5218abd99a1a1df7750ee20] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16.68
16.68
16.69
16.61
16.58
16.6
16.6
16.62
16.62
16.6
16.63
16.66
16.66
16.65
16.5
16.39
16.34
16.35
16.35
16.38
16.36
16.38
16.39
16.41
16.41
16.41
16.45
16.41
16.44
16.47
16.47
16.49
16.54
16.62
16.69
16.72
16.72
16.71
16.89
16.93
16.91
16.93
16.93
16.93
16.95
16.93
16.95
16.95
16.95
16.95
16.92
16.91
16.9
16.96
16.96
16.95
16.92
16.87
16.87
16.88
16.88
16.86
16.88
16.88
16.88
16.88
16.88
16.87
16.92
16.94
17.03
17.02
17.02
17.02
16.99
17.03
16.98
16.89
16.89
16.9
16.89
16.96
16.97
16.97

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233694&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]3 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=233694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233694&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0116.34360048802230.00818719588775017
0.0216.34908784377710.00861671721191644
0.0316.35529292050820.0116989767989013
0.0416.36203814399750.0145657685538481
0.0516.3691497953510.0159637778201532
0.0616.37626512068680.0162617554971534
0.0716.38310881395180.0163305190073658
0.0816.38963986122490.0167699372844214
0.0916.3960048103860.0178718823929379
0.116.40243781647330.0197287098242361
0.1116.40919145061520.0224007189608253
0.1216.41650262189370.0259059165327388
0.1316.42457289420210.0300460498138378
0.1416.43355204358280.0346377834255022
0.1516.44352578783950.039421929899704
0.1616.45451072974550.0441937626769846
0.1716.4664554715350.048693081030836
0.1816.47924405209310.0526794335039187
0.1916.49269945710970.055899253837229
0.216.50658896208460.058026933843919
0.2116.52063569376620.0588655994679133
0.2216.5345398210910.0582781620536809
0.2316.54800879188630.0563342118562573
0.2416.56079146567270.0532935263633736
0.2516.57270837223570.0495228358029311
0.2616.58367085587970.0455049912874388
0.2716.59368509844840.0417253269992898
0.2816.60284140241040.0385336464133327
0.2916.61129292182480.036204054115526
0.316.61923006868520.0348631030883875
0.3116.62685676344320.0345098781793874
0.3216.63437294887160.0350174221390959
0.3316.64196515425990.0363434750003232
0.3416.64980424134750.0383913186792747
0.3516.6580474595010.0411490239240613
0.3616.66684098030630.0446233552523917
0.3716.67631928430070.0487757518347039
0.3816.68659900415750.0535482595849546
0.3916.69776675937530.0587571458282091
0.416.70986267193230.0640890866166666
0.4116.72286308725890.0691428020145708
0.4216.73666704001690.073430597952711
0.4316.75109087071140.0765360899763609
0.4416.76587406849180.0780177153093324
0.4516.78069716299260.0776141676186919
0.4616.795209861630.0752526580941704
0.4716.80906530461870.0710261861520449
0.4816.82195489650030.0652317379276715
0.4916.83363802795710.0583100352566191
0.516.8439621279360.0507727799233867
0.5116.85287054224790.0431377943561416
0.5216.8603981550180.0358690704520469
0.5316.86665684518170.0293560964440719
0.5416.87181432821580.0238547177605009
0.5516.87607044999630.019462408392393
0.5616.87963462461410.0162419446768001
0.5716.88270710208780.0140946239165731
0.5816.88546547623180.0128807564874428
0.5916.88805664184970.0123766904907196
0.616.89059352602530.0124011273187111
0.6116.89315545311010.0127113314514714
0.6216.89579092968580.0131823921512243
0.6316.89852183819570.0136883459501066
0.6416.90134835441660.0141103630527554
0.6516.90425421501640.0143894476258383
0.6616.90721216157770.0145130221592102
0.6716.91018943768970.014428722427755
0.6816.91315313028930.0141644214782128
0.6916.91607498071850.0137647415500955
0.716.91893512638330.0132745906884594
0.7116.92172416275520.012743910722821
0.7216.92444302236150.012264952403163
0.7316.92710050297880.0118368034320618
0.7416.92970882413730.0115131551311479
0.7516.93227823482060.0112445939467309
0.7616.93481222336520.011016193606205
0.7716.93730503352060.0107273019462495
0.7816.93974276927870.0103456876870218
0.7916.94210836730880.00985211787047175
0.816.9443893984850.00926244177524409
0.8116.94658654079640.00866382710997157
0.8216.94872021348350.00814573249245091
0.8316.95083361513120.00782169887707783
0.8416.95299212008680.00778268538319589
0.8516.95528094996210.00804795077818504
0.8616.95780414930.00864393290349371
0.8716.96068701543790.00957454768718054
0.8816.96408052629770.0108981512279437
0.8916.96816026392180.0126652057192773
0.916.97310620374110.0148815015892022
0.9116.9790492142170.0173481597899157
0.9216.98598366125020.0195732102664631
0.9316.99367789169620.0207887241864269
0.9417.00165194877950.020220973204895
0.9517.00929047426320.0176234573166147
0.9617.01606649294380.0136763658941
0.9717.02169740308590.00974108795457602
0.9817.02603775646320.00650411456108429
0.9917.02885250443620.00312388212334873

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.3436004880223 & 0.00818719588775017 \tabularnewline
0.02 & 16.3490878437771 & 0.00861671721191644 \tabularnewline
0.03 & 16.3552929205082 & 0.0116989767989013 \tabularnewline
0.04 & 16.3620381439975 & 0.0145657685538481 \tabularnewline
0.05 & 16.369149795351 & 0.0159637778201532 \tabularnewline
0.06 & 16.3762651206868 & 0.0162617554971534 \tabularnewline
0.07 & 16.3831088139518 & 0.0163305190073658 \tabularnewline
0.08 & 16.3896398612249 & 0.0167699372844214 \tabularnewline
0.09 & 16.396004810386 & 0.0178718823929379 \tabularnewline
0.1 & 16.4024378164733 & 0.0197287098242361 \tabularnewline
0.11 & 16.4091914506152 & 0.0224007189608253 \tabularnewline
0.12 & 16.4165026218937 & 0.0259059165327388 \tabularnewline
0.13 & 16.4245728942021 & 0.0300460498138378 \tabularnewline
0.14 & 16.4335520435828 & 0.0346377834255022 \tabularnewline
0.15 & 16.4435257878395 & 0.039421929899704 \tabularnewline
0.16 & 16.4545107297455 & 0.0441937626769846 \tabularnewline
0.17 & 16.466455471535 & 0.048693081030836 \tabularnewline
0.18 & 16.4792440520931 & 0.0526794335039187 \tabularnewline
0.19 & 16.4926994571097 & 0.055899253837229 \tabularnewline
0.2 & 16.5065889620846 & 0.058026933843919 \tabularnewline
0.21 & 16.5206356937662 & 0.0588655994679133 \tabularnewline
0.22 & 16.534539821091 & 0.0582781620536809 \tabularnewline
0.23 & 16.5480087918863 & 0.0563342118562573 \tabularnewline
0.24 & 16.5607914656727 & 0.0532935263633736 \tabularnewline
0.25 & 16.5727083722357 & 0.0495228358029311 \tabularnewline
0.26 & 16.5836708558797 & 0.0455049912874388 \tabularnewline
0.27 & 16.5936850984484 & 0.0417253269992898 \tabularnewline
0.28 & 16.6028414024104 & 0.0385336464133327 \tabularnewline
0.29 & 16.6112929218248 & 0.036204054115526 \tabularnewline
0.3 & 16.6192300686852 & 0.0348631030883875 \tabularnewline
0.31 & 16.6268567634432 & 0.0345098781793874 \tabularnewline
0.32 & 16.6343729488716 & 0.0350174221390959 \tabularnewline
0.33 & 16.6419651542599 & 0.0363434750003232 \tabularnewline
0.34 & 16.6498042413475 & 0.0383913186792747 \tabularnewline
0.35 & 16.658047459501 & 0.0411490239240613 \tabularnewline
0.36 & 16.6668409803063 & 0.0446233552523917 \tabularnewline
0.37 & 16.6763192843007 & 0.0487757518347039 \tabularnewline
0.38 & 16.6865990041575 & 0.0535482595849546 \tabularnewline
0.39 & 16.6977667593753 & 0.0587571458282091 \tabularnewline
0.4 & 16.7098626719323 & 0.0640890866166666 \tabularnewline
0.41 & 16.7228630872589 & 0.0691428020145708 \tabularnewline
0.42 & 16.7366670400169 & 0.073430597952711 \tabularnewline
0.43 & 16.7510908707114 & 0.0765360899763609 \tabularnewline
0.44 & 16.7658740684918 & 0.0780177153093324 \tabularnewline
0.45 & 16.7806971629926 & 0.0776141676186919 \tabularnewline
0.46 & 16.79520986163 & 0.0752526580941704 \tabularnewline
0.47 & 16.8090653046187 & 0.0710261861520449 \tabularnewline
0.48 & 16.8219548965003 & 0.0652317379276715 \tabularnewline
0.49 & 16.8336380279571 & 0.0583100352566191 \tabularnewline
0.5 & 16.843962127936 & 0.0507727799233867 \tabularnewline
0.51 & 16.8528705422479 & 0.0431377943561416 \tabularnewline
0.52 & 16.860398155018 & 0.0358690704520469 \tabularnewline
0.53 & 16.8666568451817 & 0.0293560964440719 \tabularnewline
0.54 & 16.8718143282158 & 0.0238547177605009 \tabularnewline
0.55 & 16.8760704499963 & 0.019462408392393 \tabularnewline
0.56 & 16.8796346246141 & 0.0162419446768001 \tabularnewline
0.57 & 16.8827071020878 & 0.0140946239165731 \tabularnewline
0.58 & 16.8854654762318 & 0.0128807564874428 \tabularnewline
0.59 & 16.8880566418497 & 0.0123766904907196 \tabularnewline
0.6 & 16.8905935260253 & 0.0124011273187111 \tabularnewline
0.61 & 16.8931554531101 & 0.0127113314514714 \tabularnewline
0.62 & 16.8957909296858 & 0.0131823921512243 \tabularnewline
0.63 & 16.8985218381957 & 0.0136883459501066 \tabularnewline
0.64 & 16.9013483544166 & 0.0141103630527554 \tabularnewline
0.65 & 16.9042542150164 & 0.0143894476258383 \tabularnewline
0.66 & 16.9072121615777 & 0.0145130221592102 \tabularnewline
0.67 & 16.9101894376897 & 0.014428722427755 \tabularnewline
0.68 & 16.9131531302893 & 0.0141644214782128 \tabularnewline
0.69 & 16.9160749807185 & 0.0137647415500955 \tabularnewline
0.7 & 16.9189351263833 & 0.0132745906884594 \tabularnewline
0.71 & 16.9217241627552 & 0.012743910722821 \tabularnewline
0.72 & 16.9244430223615 & 0.012264952403163 \tabularnewline
0.73 & 16.9271005029788 & 0.0118368034320618 \tabularnewline
0.74 & 16.9297088241373 & 0.0115131551311479 \tabularnewline
0.75 & 16.9322782348206 & 0.0112445939467309 \tabularnewline
0.76 & 16.9348122233652 & 0.011016193606205 \tabularnewline
0.77 & 16.9373050335206 & 0.0107273019462495 \tabularnewline
0.78 & 16.9397427692787 & 0.0103456876870218 \tabularnewline
0.79 & 16.9421083673088 & 0.00985211787047175 \tabularnewline
0.8 & 16.944389398485 & 0.00926244177524409 \tabularnewline
0.81 & 16.9465865407964 & 0.00866382710997157 \tabularnewline
0.82 & 16.9487202134835 & 0.00814573249245091 \tabularnewline
0.83 & 16.9508336151312 & 0.00782169887707783 \tabularnewline
0.84 & 16.9529921200868 & 0.00778268538319589 \tabularnewline
0.85 & 16.9552809499621 & 0.00804795077818504 \tabularnewline
0.86 & 16.9578041493 & 0.00864393290349371 \tabularnewline
0.87 & 16.9606870154379 & 0.00957454768718054 \tabularnewline
0.88 & 16.9640805262977 & 0.0108981512279437 \tabularnewline
0.89 & 16.9681602639218 & 0.0126652057192773 \tabularnewline
0.9 & 16.9731062037411 & 0.0148815015892022 \tabularnewline
0.91 & 16.979049214217 & 0.0173481597899157 \tabularnewline
0.92 & 16.9859836612502 & 0.0195732102664631 \tabularnewline
0.93 & 16.9936778916962 & 0.0207887241864269 \tabularnewline
0.94 & 17.0016519487795 & 0.020220973204895 \tabularnewline
0.95 & 17.0092904742632 & 0.0176234573166147 \tabularnewline
0.96 & 17.0160664929438 & 0.0136763658941 \tabularnewline
0.97 & 17.0216974030859 & 0.00974108795457602 \tabularnewline
0.98 & 17.0260377564632 & 0.00650411456108429 \tabularnewline
0.99 & 17.0288525044362 & 0.00312388212334873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233694&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]16.3436004880223[/C][C]0.00818719588775017[/C][/ROW]
[ROW][C]0.02[/C][C]16.3490878437771[/C][C]0.00861671721191644[/C][/ROW]
[ROW][C]0.03[/C][C]16.3552929205082[/C][C]0.0116989767989013[/C][/ROW]
[ROW][C]0.04[/C][C]16.3620381439975[/C][C]0.0145657685538481[/C][/ROW]
[ROW][C]0.05[/C][C]16.369149795351[/C][C]0.0159637778201532[/C][/ROW]
[ROW][C]0.06[/C][C]16.3762651206868[/C][C]0.0162617554971534[/C][/ROW]
[ROW][C]0.07[/C][C]16.3831088139518[/C][C]0.0163305190073658[/C][/ROW]
[ROW][C]0.08[/C][C]16.3896398612249[/C][C]0.0167699372844214[/C][/ROW]
[ROW][C]0.09[/C][C]16.396004810386[/C][C]0.0178718823929379[/C][/ROW]
[ROW][C]0.1[/C][C]16.4024378164733[/C][C]0.0197287098242361[/C][/ROW]
[ROW][C]0.11[/C][C]16.4091914506152[/C][C]0.0224007189608253[/C][/ROW]
[ROW][C]0.12[/C][C]16.4165026218937[/C][C]0.0259059165327388[/C][/ROW]
[ROW][C]0.13[/C][C]16.4245728942021[/C][C]0.0300460498138378[/C][/ROW]
[ROW][C]0.14[/C][C]16.4335520435828[/C][C]0.0346377834255022[/C][/ROW]
[ROW][C]0.15[/C][C]16.4435257878395[/C][C]0.039421929899704[/C][/ROW]
[ROW][C]0.16[/C][C]16.4545107297455[/C][C]0.0441937626769846[/C][/ROW]
[ROW][C]0.17[/C][C]16.466455471535[/C][C]0.048693081030836[/C][/ROW]
[ROW][C]0.18[/C][C]16.4792440520931[/C][C]0.0526794335039187[/C][/ROW]
[ROW][C]0.19[/C][C]16.4926994571097[/C][C]0.055899253837229[/C][/ROW]
[ROW][C]0.2[/C][C]16.5065889620846[/C][C]0.058026933843919[/C][/ROW]
[ROW][C]0.21[/C][C]16.5206356937662[/C][C]0.0588655994679133[/C][/ROW]
[ROW][C]0.22[/C][C]16.534539821091[/C][C]0.0582781620536809[/C][/ROW]
[ROW][C]0.23[/C][C]16.5480087918863[/C][C]0.0563342118562573[/C][/ROW]
[ROW][C]0.24[/C][C]16.5607914656727[/C][C]0.0532935263633736[/C][/ROW]
[ROW][C]0.25[/C][C]16.5727083722357[/C][C]0.0495228358029311[/C][/ROW]
[ROW][C]0.26[/C][C]16.5836708558797[/C][C]0.0455049912874388[/C][/ROW]
[ROW][C]0.27[/C][C]16.5936850984484[/C][C]0.0417253269992898[/C][/ROW]
[ROW][C]0.28[/C][C]16.6028414024104[/C][C]0.0385336464133327[/C][/ROW]
[ROW][C]0.29[/C][C]16.6112929218248[/C][C]0.036204054115526[/C][/ROW]
[ROW][C]0.3[/C][C]16.6192300686852[/C][C]0.0348631030883875[/C][/ROW]
[ROW][C]0.31[/C][C]16.6268567634432[/C][C]0.0345098781793874[/C][/ROW]
[ROW][C]0.32[/C][C]16.6343729488716[/C][C]0.0350174221390959[/C][/ROW]
[ROW][C]0.33[/C][C]16.6419651542599[/C][C]0.0363434750003232[/C][/ROW]
[ROW][C]0.34[/C][C]16.6498042413475[/C][C]0.0383913186792747[/C][/ROW]
[ROW][C]0.35[/C][C]16.658047459501[/C][C]0.0411490239240613[/C][/ROW]
[ROW][C]0.36[/C][C]16.6668409803063[/C][C]0.0446233552523917[/C][/ROW]
[ROW][C]0.37[/C][C]16.6763192843007[/C][C]0.0487757518347039[/C][/ROW]
[ROW][C]0.38[/C][C]16.6865990041575[/C][C]0.0535482595849546[/C][/ROW]
[ROW][C]0.39[/C][C]16.6977667593753[/C][C]0.0587571458282091[/C][/ROW]
[ROW][C]0.4[/C][C]16.7098626719323[/C][C]0.0640890866166666[/C][/ROW]
[ROW][C]0.41[/C][C]16.7228630872589[/C][C]0.0691428020145708[/C][/ROW]
[ROW][C]0.42[/C][C]16.7366670400169[/C][C]0.073430597952711[/C][/ROW]
[ROW][C]0.43[/C][C]16.7510908707114[/C][C]0.0765360899763609[/C][/ROW]
[ROW][C]0.44[/C][C]16.7658740684918[/C][C]0.0780177153093324[/C][/ROW]
[ROW][C]0.45[/C][C]16.7806971629926[/C][C]0.0776141676186919[/C][/ROW]
[ROW][C]0.46[/C][C]16.79520986163[/C][C]0.0752526580941704[/C][/ROW]
[ROW][C]0.47[/C][C]16.8090653046187[/C][C]0.0710261861520449[/C][/ROW]
[ROW][C]0.48[/C][C]16.8219548965003[/C][C]0.0652317379276715[/C][/ROW]
[ROW][C]0.49[/C][C]16.8336380279571[/C][C]0.0583100352566191[/C][/ROW]
[ROW][C]0.5[/C][C]16.843962127936[/C][C]0.0507727799233867[/C][/ROW]
[ROW][C]0.51[/C][C]16.8528705422479[/C][C]0.0431377943561416[/C][/ROW]
[ROW][C]0.52[/C][C]16.860398155018[/C][C]0.0358690704520469[/C][/ROW]
[ROW][C]0.53[/C][C]16.8666568451817[/C][C]0.0293560964440719[/C][/ROW]
[ROW][C]0.54[/C][C]16.8718143282158[/C][C]0.0238547177605009[/C][/ROW]
[ROW][C]0.55[/C][C]16.8760704499963[/C][C]0.019462408392393[/C][/ROW]
[ROW][C]0.56[/C][C]16.8796346246141[/C][C]0.0162419446768001[/C][/ROW]
[ROW][C]0.57[/C][C]16.8827071020878[/C][C]0.0140946239165731[/C][/ROW]
[ROW][C]0.58[/C][C]16.8854654762318[/C][C]0.0128807564874428[/C][/ROW]
[ROW][C]0.59[/C][C]16.8880566418497[/C][C]0.0123766904907196[/C][/ROW]
[ROW][C]0.6[/C][C]16.8905935260253[/C][C]0.0124011273187111[/C][/ROW]
[ROW][C]0.61[/C][C]16.8931554531101[/C][C]0.0127113314514714[/C][/ROW]
[ROW][C]0.62[/C][C]16.8957909296858[/C][C]0.0131823921512243[/C][/ROW]
[ROW][C]0.63[/C][C]16.8985218381957[/C][C]0.0136883459501066[/C][/ROW]
[ROW][C]0.64[/C][C]16.9013483544166[/C][C]0.0141103630527554[/C][/ROW]
[ROW][C]0.65[/C][C]16.9042542150164[/C][C]0.0143894476258383[/C][/ROW]
[ROW][C]0.66[/C][C]16.9072121615777[/C][C]0.0145130221592102[/C][/ROW]
[ROW][C]0.67[/C][C]16.9101894376897[/C][C]0.014428722427755[/C][/ROW]
[ROW][C]0.68[/C][C]16.9131531302893[/C][C]0.0141644214782128[/C][/ROW]
[ROW][C]0.69[/C][C]16.9160749807185[/C][C]0.0137647415500955[/C][/ROW]
[ROW][C]0.7[/C][C]16.9189351263833[/C][C]0.0132745906884594[/C][/ROW]
[ROW][C]0.71[/C][C]16.9217241627552[/C][C]0.012743910722821[/C][/ROW]
[ROW][C]0.72[/C][C]16.9244430223615[/C][C]0.012264952403163[/C][/ROW]
[ROW][C]0.73[/C][C]16.9271005029788[/C][C]0.0118368034320618[/C][/ROW]
[ROW][C]0.74[/C][C]16.9297088241373[/C][C]0.0115131551311479[/C][/ROW]
[ROW][C]0.75[/C][C]16.9322782348206[/C][C]0.0112445939467309[/C][/ROW]
[ROW][C]0.76[/C][C]16.9348122233652[/C][C]0.011016193606205[/C][/ROW]
[ROW][C]0.77[/C][C]16.9373050335206[/C][C]0.0107273019462495[/C][/ROW]
[ROW][C]0.78[/C][C]16.9397427692787[/C][C]0.0103456876870218[/C][/ROW]
[ROW][C]0.79[/C][C]16.9421083673088[/C][C]0.00985211787047175[/C][/ROW]
[ROW][C]0.8[/C][C]16.944389398485[/C][C]0.00926244177524409[/C][/ROW]
[ROW][C]0.81[/C][C]16.9465865407964[/C][C]0.00866382710997157[/C][/ROW]
[ROW][C]0.82[/C][C]16.9487202134835[/C][C]0.00814573249245091[/C][/ROW]
[ROW][C]0.83[/C][C]16.9508336151312[/C][C]0.00782169887707783[/C][/ROW]
[ROW][C]0.84[/C][C]16.9529921200868[/C][C]0.00778268538319589[/C][/ROW]
[ROW][C]0.85[/C][C]16.9552809499621[/C][C]0.00804795077818504[/C][/ROW]
[ROW][C]0.86[/C][C]16.9578041493[/C][C]0.00864393290349371[/C][/ROW]
[ROW][C]0.87[/C][C]16.9606870154379[/C][C]0.00957454768718054[/C][/ROW]
[ROW][C]0.88[/C][C]16.9640805262977[/C][C]0.0108981512279437[/C][/ROW]
[ROW][C]0.89[/C][C]16.9681602639218[/C][C]0.0126652057192773[/C][/ROW]
[ROW][C]0.9[/C][C]16.9731062037411[/C][C]0.0148815015892022[/C][/ROW]
[ROW][C]0.91[/C][C]16.979049214217[/C][C]0.0173481597899157[/C][/ROW]
[ROW][C]0.92[/C][C]16.9859836612502[/C][C]0.0195732102664631[/C][/ROW]
[ROW][C]0.93[/C][C]16.9936778916962[/C][C]0.0207887241864269[/C][/ROW]
[ROW][C]0.94[/C][C]17.0016519487795[/C][C]0.020220973204895[/C][/ROW]
[ROW][C]0.95[/C][C]17.0092904742632[/C][C]0.0176234573166147[/C][/ROW]
[ROW][C]0.96[/C][C]17.0160664929438[/C][C]0.0136763658941[/C][/ROW]
[ROW][C]0.97[/C][C]17.0216974030859[/C][C]0.00974108795457602[/C][/ROW]
[ROW][C]0.98[/C][C]17.0260377564632[/C][C]0.00650411456108429[/C][/ROW]
[ROW][C]0.99[/C][C]17.0288525044362[/C][C]0.00312388212334873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233694&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
0.0116.34360048802230.00818719588775017
0.0216.34908784377710.00861671721191644
0.0316.35529292050820.0116989767989013
0.0416.36203814399750.0145657685538481
0.0516.3691497953510.0159637778201532
0.0616.37626512068680.0162617554971534
0.0716.38310881395180.0163305190073658
0.0816.38963986122490.0167699372844214
0.0916.3960048103860.0178718823929379
0.116.40243781647330.0197287098242361
0.1116.40919145061520.0224007189608253
0.1216.41650262189370.0259059165327388
0.1316.42457289420210.0300460498138378
0.1416.43355204358280.0346377834255022
0.1516.44352578783950.039421929899704
0.1616.45451072974550.0441937626769846
0.1716.4664554715350.048693081030836
0.1816.47924405209310.0526794335039187
0.1916.49269945710970.055899253837229
0.216.50658896208460.058026933843919
0.2116.52063569376620.0588655994679133
0.2216.5345398210910.0582781620536809
0.2316.54800879188630.0563342118562573
0.2416.56079146567270.0532935263633736
0.2516.57270837223570.0495228358029311
0.2616.58367085587970.0455049912874388
0.2716.59368509844840.0417253269992898
0.2816.60284140241040.0385336464133327
0.2916.61129292182480.036204054115526
0.316.61923006868520.0348631030883875
0.3116.62685676344320.0345098781793874
0.3216.63437294887160.0350174221390959
0.3316.64196515425990.0363434750003232
0.3416.64980424134750.0383913186792747
0.3516.6580474595010.0411490239240613
0.3616.66684098030630.0446233552523917
0.3716.67631928430070.0487757518347039
0.3816.68659900415750.0535482595849546
0.3916.69776675937530.0587571458282091
0.416.70986267193230.0640890866166666
0.4116.72286308725890.0691428020145708
0.4216.73666704001690.073430597952711
0.4316.75109087071140.0765360899763609
0.4416.76587406849180.0780177153093324
0.4516.78069716299260.0776141676186919
0.4616.795209861630.0752526580941704
0.4716.80906530461870.0710261861520449
0.4816.82195489650030.0652317379276715
0.4916.83363802795710.0583100352566191
0.516.8439621279360.0507727799233867
0.5116.85287054224790.0431377943561416
0.5216.8603981550180.0358690704520469
0.5316.86665684518170.0293560964440719
0.5416.87181432821580.0238547177605009
0.5516.87607044999630.019462408392393
0.5616.87963462461410.0162419446768001
0.5716.88270710208780.0140946239165731
0.5816.88546547623180.0128807564874428
0.5916.88805664184970.0123766904907196
0.616.89059352602530.0124011273187111
0.6116.89315545311010.0127113314514714
0.6216.89579092968580.0131823921512243
0.6316.89852183819570.0136883459501066
0.6416.90134835441660.0141103630527554
0.6516.90425421501640.0143894476258383
0.6616.90721216157770.0145130221592102
0.6716.91018943768970.014428722427755
0.6816.91315313028930.0141644214782128
0.6916.91607498071850.0137647415500955
0.716.91893512638330.0132745906884594
0.7116.92172416275520.012743910722821
0.7216.92444302236150.012264952403163
0.7316.92710050297880.0118368034320618
0.7416.92970882413730.0115131551311479
0.7516.93227823482060.0112445939467309
0.7616.93481222336520.011016193606205
0.7716.93730503352060.0107273019462495
0.7816.93974276927870.0103456876870218
0.7916.94210836730880.00985211787047175
0.816.9443893984850.00926244177524409
0.8116.94658654079640.00866382710997157
0.8216.94872021348350.00814573249245091
0.8316.95083361513120.00782169887707783
0.8416.95299212008680.00778268538319589
0.8516.95528094996210.00804795077818504
0.8616.95780414930.00864393290349371
0.8716.96068701543790.00957454768718054
0.8816.96408052629770.0108981512279437
0.8916.96816026392180.0126652057192773
0.916.97310620374110.0148815015892022
0.9116.9790492142170.0173481597899157
0.9216.98598366125020.0195732102664631
0.9316.99367789169620.0207887241864269
0.9417.00165194877950.020220973204895
0.9517.00929047426320.0176234573166147
0.9617.01606649294380.0136763658941
0.9717.02169740308590.00974108795457602
0.9817.02603775646320.00650411456108429
0.9917.02885250443620.00312388212334873


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')