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 computationTue, 26 Feb 2013 17:38:56 -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/2013/Feb/26/t1361918411jmzyqytugpi0p12.htm/, Retrieved Sun, 05 May 2024 05:12:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207147, Retrieved Sun, 05 May 2024 05:12:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [Quantiles] [2013-02-26 22:38:56] [69bb275cfc110db963587bebba58b9f3] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85.3
85.65
85.15
84.94
85.15
85.15
85.15
85.14
85.37
85.61
85.59
85.54
85.54
85.5
85.78
86.16
86.38
86.49
86.49
86
85.9
85.66
85.64
85.6
85.6
85.57
85.81
86.29
86.37
86.41
86.41
86.38
86.62
87.08
87.19
87.21
87.21
87.24
87.16
87.05
87.04
86.98
86.98
86.94
86.96
86.98
86.86
86.82
86.82
86.84
86.91
86.85
86.61
86.65
86.65
86.36
86.33
86.43
86.36
86.29
86.29
86.44
86.51
86.72
86.93
86.79
86.79

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=207147&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=207147&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207147&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
0.0184.98636996340410.154748652398555
0.0285.046284523860.100819452368054
0.0385.09647371118340.0591170088553945
0.0485.13126905033490.0410836556226831
0.0585.15614944426740.0476193025548483
0.0685.17863431798250.0678104283051081
0.0785.20395192187320.0923822816200024
0.0885.23436021993280.1158611914691
0.0985.26982239830950.134174530908672
0.185.30889121733180.144876628455398
0.1185.3494813257090.147290501424957
0.1285.38946962227550.142285024675993
0.1385.42710411667950.131857891558794
0.1485.46121852824970.118241990403827
0.1585.49127850221090.103803343611063
0.1685.5173094115540.0903509711324251
0.1785.53976287610810.0793944656441234
0.1885.55937023944330.071940403470939
0.1985.57701396649270.068473126909709
0.285.59363010945020.0693644557065728
0.2185.61014156718180.0745860040231269
0.2285.62741449918360.0836907703673166
0.2385.64622829232780.0963014379767891
0.2485.6672511460240.111801492786687
0.2585.69101671570030.129555651663232
0.2685.71790081681080.148625076959388
0.2785.74810001091080.168140938224711
0.2885.78161556396860.187111996797026
0.2985.81824673224770.20434076167201
0.385.8575967343590.218904122351026
0.3185.89909334623240.229923059757861
0.3285.94202410270770.236593045404239
0.3385.98558394738720.238552010230904
0.3486.02893121580430.235857573618548
0.3586.07124642905920.228642424505576
0.3686.11178779975240.217361041616972
0.3786.14993774317940.202908467132817
0.3886.1852359839980.18623902180409
0.3986.2173968012860.168421869665545
0.486.24631017859620.150259852382059
0.4186.27202869597310.132797641658683
0.4286.2947435563010.116663835812092
0.4386.31475395990120.102389936363302
0.4486.33243408818160.0904585073621996
0.4586.34820135202460.0809206393568631
0.4686.3624885355070.0739478794515306
0.4786.37572129010190.0694573586298613
0.4886.38830134910550.0671780891177925
0.4986.40059500296740.0670483451360521
0.586.41292587888350.0684980978407805
0.5186.42557089502650.0713449307686584
0.5286.43875834443290.0753656926174994
0.5386.45266730869140.0800820745830167
0.5486.46742790590630.0853798624871747
0.5586.4831221556360.0909351996435722
0.5686.49978543921720.0964835156436321
0.5786.51740862576040.101688498527458
0.5886.5359409353510.106458019189555
0.5986.55529356162440.110424597008006
0.686.57534402772080.113678844503089
0.6186.59594124652180.115888646953961
0.6286.61691131412750.117088319849797
0.6386.63806416109980.117181414464686
0.6486.6592012578840.115992683589497
0.6586.68012453995920.113759713377208
0.6686.70064652079540.110458181372545
0.6786.72060118380470.106261424675244
0.6886.73985475045890.101256875231699
0.6986.75831494716510.0959123893028584
0.786.77593711814040.0902640700379621
0.7186.79272562310410.0847205614227773
0.7286.8087295094730.0796333537470551
0.7386.82403242712560.0751274891571563
0.7486.8387379888020.0713241553152254
0.7586.85295298941080.0681716898943868
0.7686.86677175784720.0656150241616255
0.7786.88026514353970.0633995278606215
0.7886.89347707978340.0612913472790627
0.7986.90643033862220.0591936273149835
0.886.91914121120280.0569273963376424
0.8186.93164078904120.0546264835533198
0.8286.94399875205080.0525178766276462
0.8386.95634452966470.0508203874109903
0.8486.96888064944520.0499832482310489
0.8586.98188393315890.0502859804793096
0.8686.99569144542240.0518726609739036
0.8787.01066905242460.0547723697122093
0.8887.02716081611470.0587557164583427
0.8987.04541813168280.0632794412418136
0.987.06551095820790.0676456370497988
0.9187.08723277624630.0707920198326827
0.9287.11002731347790.0715120799199227
0.9387.13298503298320.0686583841316155
0.9487.15496980313150.0616804549598797
0.9587.17491865725140.051000578840425
0.9687.19226958113220.0384260726437263
0.9787.20726765333390.0272461477078145
0.9887.22064272503880.0221006366281282
0.9987.23229550025320.0247681353248631

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.9863699634041 & 0.154748652398555 \tabularnewline
0.02 & 85.04628452386 & 0.100819452368054 \tabularnewline
0.03 & 85.0964737111834 & 0.0591170088553945 \tabularnewline
0.04 & 85.1312690503349 & 0.0410836556226831 \tabularnewline
0.05 & 85.1561494442674 & 0.0476193025548483 \tabularnewline
0.06 & 85.1786343179825 & 0.0678104283051081 \tabularnewline
0.07 & 85.2039519218732 & 0.0923822816200024 \tabularnewline
0.08 & 85.2343602199328 & 0.1158611914691 \tabularnewline
0.09 & 85.2698223983095 & 0.134174530908672 \tabularnewline
0.1 & 85.3088912173318 & 0.144876628455398 \tabularnewline
0.11 & 85.349481325709 & 0.147290501424957 \tabularnewline
0.12 & 85.3894696222755 & 0.142285024675993 \tabularnewline
0.13 & 85.4271041166795 & 0.131857891558794 \tabularnewline
0.14 & 85.4612185282497 & 0.118241990403827 \tabularnewline
0.15 & 85.4912785022109 & 0.103803343611063 \tabularnewline
0.16 & 85.517309411554 & 0.0903509711324251 \tabularnewline
0.17 & 85.5397628761081 & 0.0793944656441234 \tabularnewline
0.18 & 85.5593702394433 & 0.071940403470939 \tabularnewline
0.19 & 85.5770139664927 & 0.068473126909709 \tabularnewline
0.2 & 85.5936301094502 & 0.0693644557065728 \tabularnewline
0.21 & 85.6101415671818 & 0.0745860040231269 \tabularnewline
0.22 & 85.6274144991836 & 0.0836907703673166 \tabularnewline
0.23 & 85.6462282923278 & 0.0963014379767891 \tabularnewline
0.24 & 85.667251146024 & 0.111801492786687 \tabularnewline
0.25 & 85.6910167157003 & 0.129555651663232 \tabularnewline
0.26 & 85.7179008168108 & 0.148625076959388 \tabularnewline
0.27 & 85.7481000109108 & 0.168140938224711 \tabularnewline
0.28 & 85.7816155639686 & 0.187111996797026 \tabularnewline
0.29 & 85.8182467322477 & 0.20434076167201 \tabularnewline
0.3 & 85.857596734359 & 0.218904122351026 \tabularnewline
0.31 & 85.8990933462324 & 0.229923059757861 \tabularnewline
0.32 & 85.9420241027077 & 0.236593045404239 \tabularnewline
0.33 & 85.9855839473872 & 0.238552010230904 \tabularnewline
0.34 & 86.0289312158043 & 0.235857573618548 \tabularnewline
0.35 & 86.0712464290592 & 0.228642424505576 \tabularnewline
0.36 & 86.1117877997524 & 0.217361041616972 \tabularnewline
0.37 & 86.1499377431794 & 0.202908467132817 \tabularnewline
0.38 & 86.185235983998 & 0.18623902180409 \tabularnewline
0.39 & 86.217396801286 & 0.168421869665545 \tabularnewline
0.4 & 86.2463101785962 & 0.150259852382059 \tabularnewline
0.41 & 86.2720286959731 & 0.132797641658683 \tabularnewline
0.42 & 86.294743556301 & 0.116663835812092 \tabularnewline
0.43 & 86.3147539599012 & 0.102389936363302 \tabularnewline
0.44 & 86.3324340881816 & 0.0904585073621996 \tabularnewline
0.45 & 86.3482013520246 & 0.0809206393568631 \tabularnewline
0.46 & 86.362488535507 & 0.0739478794515306 \tabularnewline
0.47 & 86.3757212901019 & 0.0694573586298613 \tabularnewline
0.48 & 86.3883013491055 & 0.0671780891177925 \tabularnewline
0.49 & 86.4005950029674 & 0.0670483451360521 \tabularnewline
0.5 & 86.4129258788835 & 0.0684980978407805 \tabularnewline
0.51 & 86.4255708950265 & 0.0713449307686584 \tabularnewline
0.52 & 86.4387583444329 & 0.0753656926174994 \tabularnewline
0.53 & 86.4526673086914 & 0.0800820745830167 \tabularnewline
0.54 & 86.4674279059063 & 0.0853798624871747 \tabularnewline
0.55 & 86.483122155636 & 0.0909351996435722 \tabularnewline
0.56 & 86.4997854392172 & 0.0964835156436321 \tabularnewline
0.57 & 86.5174086257604 & 0.101688498527458 \tabularnewline
0.58 & 86.535940935351 & 0.106458019189555 \tabularnewline
0.59 & 86.5552935616244 & 0.110424597008006 \tabularnewline
0.6 & 86.5753440277208 & 0.113678844503089 \tabularnewline
0.61 & 86.5959412465218 & 0.115888646953961 \tabularnewline
0.62 & 86.6169113141275 & 0.117088319849797 \tabularnewline
0.63 & 86.6380641610998 & 0.117181414464686 \tabularnewline
0.64 & 86.659201257884 & 0.115992683589497 \tabularnewline
0.65 & 86.6801245399592 & 0.113759713377208 \tabularnewline
0.66 & 86.7006465207954 & 0.110458181372545 \tabularnewline
0.67 & 86.7206011838047 & 0.106261424675244 \tabularnewline
0.68 & 86.7398547504589 & 0.101256875231699 \tabularnewline
0.69 & 86.7583149471651 & 0.0959123893028584 \tabularnewline
0.7 & 86.7759371181404 & 0.0902640700379621 \tabularnewline
0.71 & 86.7927256231041 & 0.0847205614227773 \tabularnewline
0.72 & 86.808729509473 & 0.0796333537470551 \tabularnewline
0.73 & 86.8240324271256 & 0.0751274891571563 \tabularnewline
0.74 & 86.838737988802 & 0.0713241553152254 \tabularnewline
0.75 & 86.8529529894108 & 0.0681716898943868 \tabularnewline
0.76 & 86.8667717578472 & 0.0656150241616255 \tabularnewline
0.77 & 86.8802651435397 & 0.0633995278606215 \tabularnewline
0.78 & 86.8934770797834 & 0.0612913472790627 \tabularnewline
0.79 & 86.9064303386222 & 0.0591936273149835 \tabularnewline
0.8 & 86.9191412112028 & 0.0569273963376424 \tabularnewline
0.81 & 86.9316407890412 & 0.0546264835533198 \tabularnewline
0.82 & 86.9439987520508 & 0.0525178766276462 \tabularnewline
0.83 & 86.9563445296647 & 0.0508203874109903 \tabularnewline
0.84 & 86.9688806494452 & 0.0499832482310489 \tabularnewline
0.85 & 86.9818839331589 & 0.0502859804793096 \tabularnewline
0.86 & 86.9956914454224 & 0.0518726609739036 \tabularnewline
0.87 & 87.0106690524246 & 0.0547723697122093 \tabularnewline
0.88 & 87.0271608161147 & 0.0587557164583427 \tabularnewline
0.89 & 87.0454181316828 & 0.0632794412418136 \tabularnewline
0.9 & 87.0655109582079 & 0.0676456370497988 \tabularnewline
0.91 & 87.0872327762463 & 0.0707920198326827 \tabularnewline
0.92 & 87.1100273134779 & 0.0715120799199227 \tabularnewline
0.93 & 87.1329850329832 & 0.0686583841316155 \tabularnewline
0.94 & 87.1549698031315 & 0.0616804549598797 \tabularnewline
0.95 & 87.1749186572514 & 0.051000578840425 \tabularnewline
0.96 & 87.1922695811322 & 0.0384260726437263 \tabularnewline
0.97 & 87.2072676533339 & 0.0272461477078145 \tabularnewline
0.98 & 87.2206427250388 & 0.0221006366281282 \tabularnewline
0.99 & 87.2322955002532 & 0.0247681353248631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207147&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]84.9863699634041[/C][C]0.154748652398555[/C][/ROW]
[ROW][C]0.02[/C][C]85.04628452386[/C][C]0.100819452368054[/C][/ROW]
[ROW][C]0.03[/C][C]85.0964737111834[/C][C]0.0591170088553945[/C][/ROW]
[ROW][C]0.04[/C][C]85.1312690503349[/C][C]0.0410836556226831[/C][/ROW]
[ROW][C]0.05[/C][C]85.1561494442674[/C][C]0.0476193025548483[/C][/ROW]
[ROW][C]0.06[/C][C]85.1786343179825[/C][C]0.0678104283051081[/C][/ROW]
[ROW][C]0.07[/C][C]85.2039519218732[/C][C]0.0923822816200024[/C][/ROW]
[ROW][C]0.08[/C][C]85.2343602199328[/C][C]0.1158611914691[/C][/ROW]
[ROW][C]0.09[/C][C]85.2698223983095[/C][C]0.134174530908672[/C][/ROW]
[ROW][C]0.1[/C][C]85.3088912173318[/C][C]0.144876628455398[/C][/ROW]
[ROW][C]0.11[/C][C]85.349481325709[/C][C]0.147290501424957[/C][/ROW]
[ROW][C]0.12[/C][C]85.3894696222755[/C][C]0.142285024675993[/C][/ROW]
[ROW][C]0.13[/C][C]85.4271041166795[/C][C]0.131857891558794[/C][/ROW]
[ROW][C]0.14[/C][C]85.4612185282497[/C][C]0.118241990403827[/C][/ROW]
[ROW][C]0.15[/C][C]85.4912785022109[/C][C]0.103803343611063[/C][/ROW]
[ROW][C]0.16[/C][C]85.517309411554[/C][C]0.0903509711324251[/C][/ROW]
[ROW][C]0.17[/C][C]85.5397628761081[/C][C]0.0793944656441234[/C][/ROW]
[ROW][C]0.18[/C][C]85.5593702394433[/C][C]0.071940403470939[/C][/ROW]
[ROW][C]0.19[/C][C]85.5770139664927[/C][C]0.068473126909709[/C][/ROW]
[ROW][C]0.2[/C][C]85.5936301094502[/C][C]0.0693644557065728[/C][/ROW]
[ROW][C]0.21[/C][C]85.6101415671818[/C][C]0.0745860040231269[/C][/ROW]
[ROW][C]0.22[/C][C]85.6274144991836[/C][C]0.0836907703673166[/C][/ROW]
[ROW][C]0.23[/C][C]85.6462282923278[/C][C]0.0963014379767891[/C][/ROW]
[ROW][C]0.24[/C][C]85.667251146024[/C][C]0.111801492786687[/C][/ROW]
[ROW][C]0.25[/C][C]85.6910167157003[/C][C]0.129555651663232[/C][/ROW]
[ROW][C]0.26[/C][C]85.7179008168108[/C][C]0.148625076959388[/C][/ROW]
[ROW][C]0.27[/C][C]85.7481000109108[/C][C]0.168140938224711[/C][/ROW]
[ROW][C]0.28[/C][C]85.7816155639686[/C][C]0.187111996797026[/C][/ROW]
[ROW][C]0.29[/C][C]85.8182467322477[/C][C]0.20434076167201[/C][/ROW]
[ROW][C]0.3[/C][C]85.857596734359[/C][C]0.218904122351026[/C][/ROW]
[ROW][C]0.31[/C][C]85.8990933462324[/C][C]0.229923059757861[/C][/ROW]
[ROW][C]0.32[/C][C]85.9420241027077[/C][C]0.236593045404239[/C][/ROW]
[ROW][C]0.33[/C][C]85.9855839473872[/C][C]0.238552010230904[/C][/ROW]
[ROW][C]0.34[/C][C]86.0289312158043[/C][C]0.235857573618548[/C][/ROW]
[ROW][C]0.35[/C][C]86.0712464290592[/C][C]0.228642424505576[/C][/ROW]
[ROW][C]0.36[/C][C]86.1117877997524[/C][C]0.217361041616972[/C][/ROW]
[ROW][C]0.37[/C][C]86.1499377431794[/C][C]0.202908467132817[/C][/ROW]
[ROW][C]0.38[/C][C]86.185235983998[/C][C]0.18623902180409[/C][/ROW]
[ROW][C]0.39[/C][C]86.217396801286[/C][C]0.168421869665545[/C][/ROW]
[ROW][C]0.4[/C][C]86.2463101785962[/C][C]0.150259852382059[/C][/ROW]
[ROW][C]0.41[/C][C]86.2720286959731[/C][C]0.132797641658683[/C][/ROW]
[ROW][C]0.42[/C][C]86.294743556301[/C][C]0.116663835812092[/C][/ROW]
[ROW][C]0.43[/C][C]86.3147539599012[/C][C]0.102389936363302[/C][/ROW]
[ROW][C]0.44[/C][C]86.3324340881816[/C][C]0.0904585073621996[/C][/ROW]
[ROW][C]0.45[/C][C]86.3482013520246[/C][C]0.0809206393568631[/C][/ROW]
[ROW][C]0.46[/C][C]86.362488535507[/C][C]0.0739478794515306[/C][/ROW]
[ROW][C]0.47[/C][C]86.3757212901019[/C][C]0.0694573586298613[/C][/ROW]
[ROW][C]0.48[/C][C]86.3883013491055[/C][C]0.0671780891177925[/C][/ROW]
[ROW][C]0.49[/C][C]86.4005950029674[/C][C]0.0670483451360521[/C][/ROW]
[ROW][C]0.5[/C][C]86.4129258788835[/C][C]0.0684980978407805[/C][/ROW]
[ROW][C]0.51[/C][C]86.4255708950265[/C][C]0.0713449307686584[/C][/ROW]
[ROW][C]0.52[/C][C]86.4387583444329[/C][C]0.0753656926174994[/C][/ROW]
[ROW][C]0.53[/C][C]86.4526673086914[/C][C]0.0800820745830167[/C][/ROW]
[ROW][C]0.54[/C][C]86.4674279059063[/C][C]0.0853798624871747[/C][/ROW]
[ROW][C]0.55[/C][C]86.483122155636[/C][C]0.0909351996435722[/C][/ROW]
[ROW][C]0.56[/C][C]86.4997854392172[/C][C]0.0964835156436321[/C][/ROW]
[ROW][C]0.57[/C][C]86.5174086257604[/C][C]0.101688498527458[/C][/ROW]
[ROW][C]0.58[/C][C]86.535940935351[/C][C]0.106458019189555[/C][/ROW]
[ROW][C]0.59[/C][C]86.5552935616244[/C][C]0.110424597008006[/C][/ROW]
[ROW][C]0.6[/C][C]86.5753440277208[/C][C]0.113678844503089[/C][/ROW]
[ROW][C]0.61[/C][C]86.5959412465218[/C][C]0.115888646953961[/C][/ROW]
[ROW][C]0.62[/C][C]86.6169113141275[/C][C]0.117088319849797[/C][/ROW]
[ROW][C]0.63[/C][C]86.6380641610998[/C][C]0.117181414464686[/C][/ROW]
[ROW][C]0.64[/C][C]86.659201257884[/C][C]0.115992683589497[/C][/ROW]
[ROW][C]0.65[/C][C]86.6801245399592[/C][C]0.113759713377208[/C][/ROW]
[ROW][C]0.66[/C][C]86.7006465207954[/C][C]0.110458181372545[/C][/ROW]
[ROW][C]0.67[/C][C]86.7206011838047[/C][C]0.106261424675244[/C][/ROW]
[ROW][C]0.68[/C][C]86.7398547504589[/C][C]0.101256875231699[/C][/ROW]
[ROW][C]0.69[/C][C]86.7583149471651[/C][C]0.0959123893028584[/C][/ROW]
[ROW][C]0.7[/C][C]86.7759371181404[/C][C]0.0902640700379621[/C][/ROW]
[ROW][C]0.71[/C][C]86.7927256231041[/C][C]0.0847205614227773[/C][/ROW]
[ROW][C]0.72[/C][C]86.808729509473[/C][C]0.0796333537470551[/C][/ROW]
[ROW][C]0.73[/C][C]86.8240324271256[/C][C]0.0751274891571563[/C][/ROW]
[ROW][C]0.74[/C][C]86.838737988802[/C][C]0.0713241553152254[/C][/ROW]
[ROW][C]0.75[/C][C]86.8529529894108[/C][C]0.0681716898943868[/C][/ROW]
[ROW][C]0.76[/C][C]86.8667717578472[/C][C]0.0656150241616255[/C][/ROW]
[ROW][C]0.77[/C][C]86.8802651435397[/C][C]0.0633995278606215[/C][/ROW]
[ROW][C]0.78[/C][C]86.8934770797834[/C][C]0.0612913472790627[/C][/ROW]
[ROW][C]0.79[/C][C]86.9064303386222[/C][C]0.0591936273149835[/C][/ROW]
[ROW][C]0.8[/C][C]86.9191412112028[/C][C]0.0569273963376424[/C][/ROW]
[ROW][C]0.81[/C][C]86.9316407890412[/C][C]0.0546264835533198[/C][/ROW]
[ROW][C]0.82[/C][C]86.9439987520508[/C][C]0.0525178766276462[/C][/ROW]
[ROW][C]0.83[/C][C]86.9563445296647[/C][C]0.0508203874109903[/C][/ROW]
[ROW][C]0.84[/C][C]86.9688806494452[/C][C]0.0499832482310489[/C][/ROW]
[ROW][C]0.85[/C][C]86.9818839331589[/C][C]0.0502859804793096[/C][/ROW]
[ROW][C]0.86[/C][C]86.9956914454224[/C][C]0.0518726609739036[/C][/ROW]
[ROW][C]0.87[/C][C]87.0106690524246[/C][C]0.0547723697122093[/C][/ROW]
[ROW][C]0.88[/C][C]87.0271608161147[/C][C]0.0587557164583427[/C][/ROW]
[ROW][C]0.89[/C][C]87.0454181316828[/C][C]0.0632794412418136[/C][/ROW]
[ROW][C]0.9[/C][C]87.0655109582079[/C][C]0.0676456370497988[/C][/ROW]
[ROW][C]0.91[/C][C]87.0872327762463[/C][C]0.0707920198326827[/C][/ROW]
[ROW][C]0.92[/C][C]87.1100273134779[/C][C]0.0715120799199227[/C][/ROW]
[ROW][C]0.93[/C][C]87.1329850329832[/C][C]0.0686583841316155[/C][/ROW]
[ROW][C]0.94[/C][C]87.1549698031315[/C][C]0.0616804549598797[/C][/ROW]
[ROW][C]0.95[/C][C]87.1749186572514[/C][C]0.051000578840425[/C][/ROW]
[ROW][C]0.96[/C][C]87.1922695811322[/C][C]0.0384260726437263[/C][/ROW]
[ROW][C]0.97[/C][C]87.2072676533339[/C][C]0.0272461477078145[/C][/ROW]
[ROW][C]0.98[/C][C]87.2206427250388[/C][C]0.0221006366281282[/C][/ROW]
[ROW][C]0.99[/C][C]87.2322955002532[/C][C]0.0247681353248631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207147&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207147&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
0.0184.98636996340410.154748652398555
0.0285.046284523860.100819452368054
0.0385.09647371118340.0591170088553945
0.0485.13126905033490.0410836556226831
0.0585.15614944426740.0476193025548483
0.0685.17863431798250.0678104283051081
0.0785.20395192187320.0923822816200024
0.0885.23436021993280.1158611914691
0.0985.26982239830950.134174530908672
0.185.30889121733180.144876628455398
0.1185.3494813257090.147290501424957
0.1285.38946962227550.142285024675993
0.1385.42710411667950.131857891558794
0.1485.46121852824970.118241990403827
0.1585.49127850221090.103803343611063
0.1685.5173094115540.0903509711324251
0.1785.53976287610810.0793944656441234
0.1885.55937023944330.071940403470939
0.1985.57701396649270.068473126909709
0.285.59363010945020.0693644557065728
0.2185.61014156718180.0745860040231269
0.2285.62741449918360.0836907703673166
0.2385.64622829232780.0963014379767891
0.2485.6672511460240.111801492786687
0.2585.69101671570030.129555651663232
0.2685.71790081681080.148625076959388
0.2785.74810001091080.168140938224711
0.2885.78161556396860.187111996797026
0.2985.81824673224770.20434076167201
0.385.8575967343590.218904122351026
0.3185.89909334623240.229923059757861
0.3285.94202410270770.236593045404239
0.3385.98558394738720.238552010230904
0.3486.02893121580430.235857573618548
0.3586.07124642905920.228642424505576
0.3686.11178779975240.217361041616972
0.3786.14993774317940.202908467132817
0.3886.1852359839980.18623902180409
0.3986.2173968012860.168421869665545
0.486.24631017859620.150259852382059
0.4186.27202869597310.132797641658683
0.4286.2947435563010.116663835812092
0.4386.31475395990120.102389936363302
0.4486.33243408818160.0904585073621996
0.4586.34820135202460.0809206393568631
0.4686.3624885355070.0739478794515306
0.4786.37572129010190.0694573586298613
0.4886.38830134910550.0671780891177925
0.4986.40059500296740.0670483451360521
0.586.41292587888350.0684980978407805
0.5186.42557089502650.0713449307686584
0.5286.43875834443290.0753656926174994
0.5386.45266730869140.0800820745830167
0.5486.46742790590630.0853798624871747
0.5586.4831221556360.0909351996435722
0.5686.49978543921720.0964835156436321
0.5786.51740862576040.101688498527458
0.5886.5359409353510.106458019189555
0.5986.55529356162440.110424597008006
0.686.57534402772080.113678844503089
0.6186.59594124652180.115888646953961
0.6286.61691131412750.117088319849797
0.6386.63806416109980.117181414464686
0.6486.6592012578840.115992683589497
0.6586.68012453995920.113759713377208
0.6686.70064652079540.110458181372545
0.6786.72060118380470.106261424675244
0.6886.73985475045890.101256875231699
0.6986.75831494716510.0959123893028584
0.786.77593711814040.0902640700379621
0.7186.79272562310410.0847205614227773
0.7286.8087295094730.0796333537470551
0.7386.82403242712560.0751274891571563
0.7486.8387379888020.0713241553152254
0.7586.85295298941080.0681716898943868
0.7686.86677175784720.0656150241616255
0.7786.88026514353970.0633995278606215
0.7886.89347707978340.0612913472790627
0.7986.90643033862220.0591936273149835
0.886.91914121120280.0569273963376424
0.8186.93164078904120.0546264835533198
0.8286.94399875205080.0525178766276462
0.8386.95634452966470.0508203874109903
0.8486.96888064944520.0499832482310489
0.8586.98188393315890.0502859804793096
0.8686.99569144542240.0518726609739036
0.8787.01066905242460.0547723697122093
0.8887.02716081611470.0587557164583427
0.8987.04541813168280.0632794412418136
0.987.06551095820790.0676456370497988
0.9187.08723277624630.0707920198326827
0.9287.11002731347790.0715120799199227
0.9387.13298503298320.0686583841316155
0.9487.15496980313150.0616804549598797
0.9587.17491865725140.051000578840425
0.9687.19226958113220.0384260726437263
0.9787.20726765333390.0272461477078145
0.9887.22064272503880.0221006366281282
0.9987.23229550025320.0247681353248631


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')