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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 computationMon, 09 Mar 2009 10:53:41 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t1236617671tm8n1pzm7y231nm.htm/, Retrieved Mon, 29 Apr 2024 02:13:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38791, Retrieved Mon, 29 Apr 2024 02:13:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

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] [Opgave 4 inschrij...] [2009-03-09 15:51:02] [74be16979710d4c4e7c6647856088456]
-    D  [Harrell-Davis Quantiles] [opgave 4 oef 2 Do...] [2009-03-09 16:11:05] [74be16979710d4c4e7c6647856088456]
-   PD      [Harrell-Davis Quantiles] [opgave 4 oef 2 II...] [2009-03-09 16:53:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
158.8
158.8
157.63
157.8
156.77
156.57
157.33
157.26
157.49
157.68
158.23
158.04
158.17
158.18
159.71
158.7
158.5
158.15
157.69
157.69
158.2
159.25
158.71
158.75
158.75
158.03
157.88
157.47
157.06
156.8
156.76
156.75
156.66
155.92
156.1
156.43
157.39
157.39
157.55
157.75
156.79
156.24
156.8
156.8
156.2
155.25
154.81
154.94
154.97
154.93
149.62
148.6
146.27
145.87
144.23
144.23
142.22
138.85
138.54
137.64
137.38
137.38
136.1
133.58
132.72
130.59
129.23
129.22
126.62
125.83
125.54
125.55
125.53

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38791&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38791&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38791&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01125.5554581255790.0853197758944092
0.02125.6442715567050.302955473170927
0.03125.8428262771540.668214226088083
0.04126.1875171162581.13052960040575
0.05126.6914347073991.61127294963799
0.06127.3428520089652.04526232404210
0.07128.1136342627782.40432783176791
0.08128.9705672164792.69243110850555
0.09129.8834793513722.92363932754572
0.1130.8281001390713.10454519409545
0.11131.7852286400853.23123197585758
0.12132.7390492532983.29882837372804
0.13133.6765591859083.31074684382457
0.14134.5884336626283.28390218808516
0.15135.4704699001163.24650866902073
0.16136.3244756615453.23085734263452
0.17137.1578995488483.26390576321688
0.18137.9821775704813.35911965871276
0.19138.8103054553373.51434085992647
0.2139.6543561169723.71481154073768
0.21140.5235559287033.93932544097876
0.22141.4232364024554.16728622909334
0.23142.3546462764794.38172544234517
0.24143.3153692269734.57048964793929
0.25144.3000058398694.72465664260687
0.26145.3008368175564.83673788083543
0.27146.3083290434284.89875084843667
0.28147.3115004922594.90282837520206
0.29148.2982611358624.84136993932160
0.3149.2558657191974.70925298886557
0.31150.1715586768144.50518740339024
0.32151.0333963660284.23450841875766
0.33151.831140758333.90727704165578
0.34152.5570665711433.53879956165836
0.35153.2065258693743.14781706141606
0.36153.7781645633912.75285008298799
0.37154.2737629222112.37108141445901
0.38154.6977508730442.01625338775329
0.39155.0565064163601.69792247359130
0.4155.3575702094091.42049888946957
0.41155.6089011528451.18510576794921
0.42155.8182654990180.989155967171443
0.43155.9928086069740.82861323418654
0.44156.1388164311380.697636893996605
0.45156.2616417613060.591623832728411
0.46156.3657517944930.505570972221554
0.47156.4548481951520.436314507541701
0.48156.5320151494720.381049081399281
0.49156.5998609720080.337643987745571
0.5156.6606309909030.305268254899764
0.51156.7162812243190.282751435855423
0.52156.7685123637760.269156057310114
0.53156.8187711688010.263232161268964
0.54156.8682313175050.263578899610753
0.55156.9177679781160.267754438756673
0.56156.9679399133030.273787352475711
0.57157.0189900547310.280118112800141
0.58157.0708707586080.284786330061944
0.59157.1232942872670.286618022669345
0.6157.1758036031380.284967595341614
0.61157.2278544505800.279775682143355
0.62157.2788977794650.271048571437688
0.63157.3284521287720.260002942605327
0.64157.3761582896180.247045749855342
0.65157.4218125036850.233421707318368
0.66157.4653784455760.220031896922665
0.67157.5069812004030.207788833498049
0.68157.5468877371620.197137211505881
0.69157.5854779966490.188875769825797
0.7157.6232092924060.183261777968625
0.71157.6605752880530.180251958472883
0.72157.6980603898630.179752947415631
0.73157.7360915963580.181499702236211
0.74157.7749925877480.184564153588294
0.75157.8149482402130.188205164213083
0.76157.8559903139790.19146127348304
0.77157.8980150449080.193421794564928
0.78157.9408392863690.193716309080313
0.79157.9842930507480.192178265334833
0.8158.0283335228230.189658226587924
0.81158.0731514445550.187552388200744
0.82158.1192298086740.187329638874379
0.83158.1673131796580.190818520084960
0.84158.2182596997610.198483418628971
0.85158.2727798243790.209636104276041
0.86158.3311121246010.221573042602396
0.87158.3927339520430.230314071113074
0.88158.4562330760210.231877576166261
0.89158.5194568652960.223457532184959
0.9158.5800047556190.204381781745016
0.91158.6360588069020.177106192054614
0.92158.6874912265870.147005943959141
0.93158.7371547955620.122987480908589
0.94158.7921802299970.118335533332011
0.95158.8648079098720.147017660967457
0.96158.9715426175990.210110415639139
0.97159.127994534940.2924839180057
0.98159.3351945288720.369347356229844
0.99159.5568416594270.423536646117043

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 125.555458125579 & 0.0853197758944092 \tabularnewline
0.02 & 125.644271556705 & 0.302955473170927 \tabularnewline
0.03 & 125.842826277154 & 0.668214226088083 \tabularnewline
0.04 & 126.187517116258 & 1.13052960040575 \tabularnewline
0.05 & 126.691434707399 & 1.61127294963799 \tabularnewline
0.06 & 127.342852008965 & 2.04526232404210 \tabularnewline
0.07 & 128.113634262778 & 2.40432783176791 \tabularnewline
0.08 & 128.970567216479 & 2.69243110850555 \tabularnewline
0.09 & 129.883479351372 & 2.92363932754572 \tabularnewline
0.1 & 130.828100139071 & 3.10454519409545 \tabularnewline
0.11 & 131.785228640085 & 3.23123197585758 \tabularnewline
0.12 & 132.739049253298 & 3.29882837372804 \tabularnewline
0.13 & 133.676559185908 & 3.31074684382457 \tabularnewline
0.14 & 134.588433662628 & 3.28390218808516 \tabularnewline
0.15 & 135.470469900116 & 3.24650866902073 \tabularnewline
0.16 & 136.324475661545 & 3.23085734263452 \tabularnewline
0.17 & 137.157899548848 & 3.26390576321688 \tabularnewline
0.18 & 137.982177570481 & 3.35911965871276 \tabularnewline
0.19 & 138.810305455337 & 3.51434085992647 \tabularnewline
0.2 & 139.654356116972 & 3.71481154073768 \tabularnewline
0.21 & 140.523555928703 & 3.93932544097876 \tabularnewline
0.22 & 141.423236402455 & 4.16728622909334 \tabularnewline
0.23 & 142.354646276479 & 4.38172544234517 \tabularnewline
0.24 & 143.315369226973 & 4.57048964793929 \tabularnewline
0.25 & 144.300005839869 & 4.72465664260687 \tabularnewline
0.26 & 145.300836817556 & 4.83673788083543 \tabularnewline
0.27 & 146.308329043428 & 4.89875084843667 \tabularnewline
0.28 & 147.311500492259 & 4.90282837520206 \tabularnewline
0.29 & 148.298261135862 & 4.84136993932160 \tabularnewline
0.3 & 149.255865719197 & 4.70925298886557 \tabularnewline
0.31 & 150.171558676814 & 4.50518740339024 \tabularnewline
0.32 & 151.033396366028 & 4.23450841875766 \tabularnewline
0.33 & 151.83114075833 & 3.90727704165578 \tabularnewline
0.34 & 152.557066571143 & 3.53879956165836 \tabularnewline
0.35 & 153.206525869374 & 3.14781706141606 \tabularnewline
0.36 & 153.778164563391 & 2.75285008298799 \tabularnewline
0.37 & 154.273762922211 & 2.37108141445901 \tabularnewline
0.38 & 154.697750873044 & 2.01625338775329 \tabularnewline
0.39 & 155.056506416360 & 1.69792247359130 \tabularnewline
0.4 & 155.357570209409 & 1.42049888946957 \tabularnewline
0.41 & 155.608901152845 & 1.18510576794921 \tabularnewline
0.42 & 155.818265499018 & 0.989155967171443 \tabularnewline
0.43 & 155.992808606974 & 0.82861323418654 \tabularnewline
0.44 & 156.138816431138 & 0.697636893996605 \tabularnewline
0.45 & 156.261641761306 & 0.591623832728411 \tabularnewline
0.46 & 156.365751794493 & 0.505570972221554 \tabularnewline
0.47 & 156.454848195152 & 0.436314507541701 \tabularnewline
0.48 & 156.532015149472 & 0.381049081399281 \tabularnewline
0.49 & 156.599860972008 & 0.337643987745571 \tabularnewline
0.5 & 156.660630990903 & 0.305268254899764 \tabularnewline
0.51 & 156.716281224319 & 0.282751435855423 \tabularnewline
0.52 & 156.768512363776 & 0.269156057310114 \tabularnewline
0.53 & 156.818771168801 & 0.263232161268964 \tabularnewline
0.54 & 156.868231317505 & 0.263578899610753 \tabularnewline
0.55 & 156.917767978116 & 0.267754438756673 \tabularnewline
0.56 & 156.967939913303 & 0.273787352475711 \tabularnewline
0.57 & 157.018990054731 & 0.280118112800141 \tabularnewline
0.58 & 157.070870758608 & 0.284786330061944 \tabularnewline
0.59 & 157.123294287267 & 0.286618022669345 \tabularnewline
0.6 & 157.175803603138 & 0.284967595341614 \tabularnewline
0.61 & 157.227854450580 & 0.279775682143355 \tabularnewline
0.62 & 157.278897779465 & 0.271048571437688 \tabularnewline
0.63 & 157.328452128772 & 0.260002942605327 \tabularnewline
0.64 & 157.376158289618 & 0.247045749855342 \tabularnewline
0.65 & 157.421812503685 & 0.233421707318368 \tabularnewline
0.66 & 157.465378445576 & 0.220031896922665 \tabularnewline
0.67 & 157.506981200403 & 0.207788833498049 \tabularnewline
0.68 & 157.546887737162 & 0.197137211505881 \tabularnewline
0.69 & 157.585477996649 & 0.188875769825797 \tabularnewline
0.7 & 157.623209292406 & 0.183261777968625 \tabularnewline
0.71 & 157.660575288053 & 0.180251958472883 \tabularnewline
0.72 & 157.698060389863 & 0.179752947415631 \tabularnewline
0.73 & 157.736091596358 & 0.181499702236211 \tabularnewline
0.74 & 157.774992587748 & 0.184564153588294 \tabularnewline
0.75 & 157.814948240213 & 0.188205164213083 \tabularnewline
0.76 & 157.855990313979 & 0.19146127348304 \tabularnewline
0.77 & 157.898015044908 & 0.193421794564928 \tabularnewline
0.78 & 157.940839286369 & 0.193716309080313 \tabularnewline
0.79 & 157.984293050748 & 0.192178265334833 \tabularnewline
0.8 & 158.028333522823 & 0.189658226587924 \tabularnewline
0.81 & 158.073151444555 & 0.187552388200744 \tabularnewline
0.82 & 158.119229808674 & 0.187329638874379 \tabularnewline
0.83 & 158.167313179658 & 0.190818520084960 \tabularnewline
0.84 & 158.218259699761 & 0.198483418628971 \tabularnewline
0.85 & 158.272779824379 & 0.209636104276041 \tabularnewline
0.86 & 158.331112124601 & 0.221573042602396 \tabularnewline
0.87 & 158.392733952043 & 0.230314071113074 \tabularnewline
0.88 & 158.456233076021 & 0.231877576166261 \tabularnewline
0.89 & 158.519456865296 & 0.223457532184959 \tabularnewline
0.9 & 158.580004755619 & 0.204381781745016 \tabularnewline
0.91 & 158.636058806902 & 0.177106192054614 \tabularnewline
0.92 & 158.687491226587 & 0.147005943959141 \tabularnewline
0.93 & 158.737154795562 & 0.122987480908589 \tabularnewline
0.94 & 158.792180229997 & 0.118335533332011 \tabularnewline
0.95 & 158.864807909872 & 0.147017660967457 \tabularnewline
0.96 & 158.971542617599 & 0.210110415639139 \tabularnewline
0.97 & 159.12799453494 & 0.2924839180057 \tabularnewline
0.98 & 159.335194528872 & 0.369347356229844 \tabularnewline
0.99 & 159.556841659427 & 0.423536646117043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38791&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]125.555458125579[/C][C]0.0853197758944092[/C][/ROW]
[ROW][C]0.02[/C][C]125.644271556705[/C][C]0.302955473170927[/C][/ROW]
[ROW][C]0.03[/C][C]125.842826277154[/C][C]0.668214226088083[/C][/ROW]
[ROW][C]0.04[/C][C]126.187517116258[/C][C]1.13052960040575[/C][/ROW]
[ROW][C]0.05[/C][C]126.691434707399[/C][C]1.61127294963799[/C][/ROW]
[ROW][C]0.06[/C][C]127.342852008965[/C][C]2.04526232404210[/C][/ROW]
[ROW][C]0.07[/C][C]128.113634262778[/C][C]2.40432783176791[/C][/ROW]
[ROW][C]0.08[/C][C]128.970567216479[/C][C]2.69243110850555[/C][/ROW]
[ROW][C]0.09[/C][C]129.883479351372[/C][C]2.92363932754572[/C][/ROW]
[ROW][C]0.1[/C][C]130.828100139071[/C][C]3.10454519409545[/C][/ROW]
[ROW][C]0.11[/C][C]131.785228640085[/C][C]3.23123197585758[/C][/ROW]
[ROW][C]0.12[/C][C]132.739049253298[/C][C]3.29882837372804[/C][/ROW]
[ROW][C]0.13[/C][C]133.676559185908[/C][C]3.31074684382457[/C][/ROW]
[ROW][C]0.14[/C][C]134.588433662628[/C][C]3.28390218808516[/C][/ROW]
[ROW][C]0.15[/C][C]135.470469900116[/C][C]3.24650866902073[/C][/ROW]
[ROW][C]0.16[/C][C]136.324475661545[/C][C]3.23085734263452[/C][/ROW]
[ROW][C]0.17[/C][C]137.157899548848[/C][C]3.26390576321688[/C][/ROW]
[ROW][C]0.18[/C][C]137.982177570481[/C][C]3.35911965871276[/C][/ROW]
[ROW][C]0.19[/C][C]138.810305455337[/C][C]3.51434085992647[/C][/ROW]
[ROW][C]0.2[/C][C]139.654356116972[/C][C]3.71481154073768[/C][/ROW]
[ROW][C]0.21[/C][C]140.523555928703[/C][C]3.93932544097876[/C][/ROW]
[ROW][C]0.22[/C][C]141.423236402455[/C][C]4.16728622909334[/C][/ROW]
[ROW][C]0.23[/C][C]142.354646276479[/C][C]4.38172544234517[/C][/ROW]
[ROW][C]0.24[/C][C]143.315369226973[/C][C]4.57048964793929[/C][/ROW]
[ROW][C]0.25[/C][C]144.300005839869[/C][C]4.72465664260687[/C][/ROW]
[ROW][C]0.26[/C][C]145.300836817556[/C][C]4.83673788083543[/C][/ROW]
[ROW][C]0.27[/C][C]146.308329043428[/C][C]4.89875084843667[/C][/ROW]
[ROW][C]0.28[/C][C]147.311500492259[/C][C]4.90282837520206[/C][/ROW]
[ROW][C]0.29[/C][C]148.298261135862[/C][C]4.84136993932160[/C][/ROW]
[ROW][C]0.3[/C][C]149.255865719197[/C][C]4.70925298886557[/C][/ROW]
[ROW][C]0.31[/C][C]150.171558676814[/C][C]4.50518740339024[/C][/ROW]
[ROW][C]0.32[/C][C]151.033396366028[/C][C]4.23450841875766[/C][/ROW]
[ROW][C]0.33[/C][C]151.83114075833[/C][C]3.90727704165578[/C][/ROW]
[ROW][C]0.34[/C][C]152.557066571143[/C][C]3.53879956165836[/C][/ROW]
[ROW][C]0.35[/C][C]153.206525869374[/C][C]3.14781706141606[/C][/ROW]
[ROW][C]0.36[/C][C]153.778164563391[/C][C]2.75285008298799[/C][/ROW]
[ROW][C]0.37[/C][C]154.273762922211[/C][C]2.37108141445901[/C][/ROW]
[ROW][C]0.38[/C][C]154.697750873044[/C][C]2.01625338775329[/C][/ROW]
[ROW][C]0.39[/C][C]155.056506416360[/C][C]1.69792247359130[/C][/ROW]
[ROW][C]0.4[/C][C]155.357570209409[/C][C]1.42049888946957[/C][/ROW]
[ROW][C]0.41[/C][C]155.608901152845[/C][C]1.18510576794921[/C][/ROW]
[ROW][C]0.42[/C][C]155.818265499018[/C][C]0.989155967171443[/C][/ROW]
[ROW][C]0.43[/C][C]155.992808606974[/C][C]0.82861323418654[/C][/ROW]
[ROW][C]0.44[/C][C]156.138816431138[/C][C]0.697636893996605[/C][/ROW]
[ROW][C]0.45[/C][C]156.261641761306[/C][C]0.591623832728411[/C][/ROW]
[ROW][C]0.46[/C][C]156.365751794493[/C][C]0.505570972221554[/C][/ROW]
[ROW][C]0.47[/C][C]156.454848195152[/C][C]0.436314507541701[/C][/ROW]
[ROW][C]0.48[/C][C]156.532015149472[/C][C]0.381049081399281[/C][/ROW]
[ROW][C]0.49[/C][C]156.599860972008[/C][C]0.337643987745571[/C][/ROW]
[ROW][C]0.5[/C][C]156.660630990903[/C][C]0.305268254899764[/C][/ROW]
[ROW][C]0.51[/C][C]156.716281224319[/C][C]0.282751435855423[/C][/ROW]
[ROW][C]0.52[/C][C]156.768512363776[/C][C]0.269156057310114[/C][/ROW]
[ROW][C]0.53[/C][C]156.818771168801[/C][C]0.263232161268964[/C][/ROW]
[ROW][C]0.54[/C][C]156.868231317505[/C][C]0.263578899610753[/C][/ROW]
[ROW][C]0.55[/C][C]156.917767978116[/C][C]0.267754438756673[/C][/ROW]
[ROW][C]0.56[/C][C]156.967939913303[/C][C]0.273787352475711[/C][/ROW]
[ROW][C]0.57[/C][C]157.018990054731[/C][C]0.280118112800141[/C][/ROW]
[ROW][C]0.58[/C][C]157.070870758608[/C][C]0.284786330061944[/C][/ROW]
[ROW][C]0.59[/C][C]157.123294287267[/C][C]0.286618022669345[/C][/ROW]
[ROW][C]0.6[/C][C]157.175803603138[/C][C]0.284967595341614[/C][/ROW]
[ROW][C]0.61[/C][C]157.227854450580[/C][C]0.279775682143355[/C][/ROW]
[ROW][C]0.62[/C][C]157.278897779465[/C][C]0.271048571437688[/C][/ROW]
[ROW][C]0.63[/C][C]157.328452128772[/C][C]0.260002942605327[/C][/ROW]
[ROW][C]0.64[/C][C]157.376158289618[/C][C]0.247045749855342[/C][/ROW]
[ROW][C]0.65[/C][C]157.421812503685[/C][C]0.233421707318368[/C][/ROW]
[ROW][C]0.66[/C][C]157.465378445576[/C][C]0.220031896922665[/C][/ROW]
[ROW][C]0.67[/C][C]157.506981200403[/C][C]0.207788833498049[/C][/ROW]
[ROW][C]0.68[/C][C]157.546887737162[/C][C]0.197137211505881[/C][/ROW]
[ROW][C]0.69[/C][C]157.585477996649[/C][C]0.188875769825797[/C][/ROW]
[ROW][C]0.7[/C][C]157.623209292406[/C][C]0.183261777968625[/C][/ROW]
[ROW][C]0.71[/C][C]157.660575288053[/C][C]0.180251958472883[/C][/ROW]
[ROW][C]0.72[/C][C]157.698060389863[/C][C]0.179752947415631[/C][/ROW]
[ROW][C]0.73[/C][C]157.736091596358[/C][C]0.181499702236211[/C][/ROW]
[ROW][C]0.74[/C][C]157.774992587748[/C][C]0.184564153588294[/C][/ROW]
[ROW][C]0.75[/C][C]157.814948240213[/C][C]0.188205164213083[/C][/ROW]
[ROW][C]0.76[/C][C]157.855990313979[/C][C]0.19146127348304[/C][/ROW]
[ROW][C]0.77[/C][C]157.898015044908[/C][C]0.193421794564928[/C][/ROW]
[ROW][C]0.78[/C][C]157.940839286369[/C][C]0.193716309080313[/C][/ROW]
[ROW][C]0.79[/C][C]157.984293050748[/C][C]0.192178265334833[/C][/ROW]
[ROW][C]0.8[/C][C]158.028333522823[/C][C]0.189658226587924[/C][/ROW]
[ROW][C]0.81[/C][C]158.073151444555[/C][C]0.187552388200744[/C][/ROW]
[ROW][C]0.82[/C][C]158.119229808674[/C][C]0.187329638874379[/C][/ROW]
[ROW][C]0.83[/C][C]158.167313179658[/C][C]0.190818520084960[/C][/ROW]
[ROW][C]0.84[/C][C]158.218259699761[/C][C]0.198483418628971[/C][/ROW]
[ROW][C]0.85[/C][C]158.272779824379[/C][C]0.209636104276041[/C][/ROW]
[ROW][C]0.86[/C][C]158.331112124601[/C][C]0.221573042602396[/C][/ROW]
[ROW][C]0.87[/C][C]158.392733952043[/C][C]0.230314071113074[/C][/ROW]
[ROW][C]0.88[/C][C]158.456233076021[/C][C]0.231877576166261[/C][/ROW]
[ROW][C]0.89[/C][C]158.519456865296[/C][C]0.223457532184959[/C][/ROW]
[ROW][C]0.9[/C][C]158.580004755619[/C][C]0.204381781745016[/C][/ROW]
[ROW][C]0.91[/C][C]158.636058806902[/C][C]0.177106192054614[/C][/ROW]
[ROW][C]0.92[/C][C]158.687491226587[/C][C]0.147005943959141[/C][/ROW]
[ROW][C]0.93[/C][C]158.737154795562[/C][C]0.122987480908589[/C][/ROW]
[ROW][C]0.94[/C][C]158.792180229997[/C][C]0.118335533332011[/C][/ROW]
[ROW][C]0.95[/C][C]158.864807909872[/C][C]0.147017660967457[/C][/ROW]
[ROW][C]0.96[/C][C]158.971542617599[/C][C]0.210110415639139[/C][/ROW]
[ROW][C]0.97[/C][C]159.12799453494[/C][C]0.2924839180057[/C][/ROW]
[ROW][C]0.98[/C][C]159.335194528872[/C][C]0.369347356229844[/C][/ROW]
[ROW][C]0.99[/C][C]159.556841659427[/C][C]0.423536646117043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38791&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38791&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
0.01125.5554581255790.0853197758944092
0.02125.6442715567050.302955473170927
0.03125.8428262771540.668214226088083
0.04126.1875171162581.13052960040575
0.05126.6914347073991.61127294963799
0.06127.3428520089652.04526232404210
0.07128.1136342627782.40432783176791
0.08128.9705672164792.69243110850555
0.09129.8834793513722.92363932754572
0.1130.8281001390713.10454519409545
0.11131.7852286400853.23123197585758
0.12132.7390492532983.29882837372804
0.13133.6765591859083.31074684382457
0.14134.5884336626283.28390218808516
0.15135.4704699001163.24650866902073
0.16136.3244756615453.23085734263452
0.17137.1578995488483.26390576321688
0.18137.9821775704813.35911965871276
0.19138.8103054553373.51434085992647
0.2139.6543561169723.71481154073768
0.21140.5235559287033.93932544097876
0.22141.4232364024554.16728622909334
0.23142.3546462764794.38172544234517
0.24143.3153692269734.57048964793929
0.25144.3000058398694.72465664260687
0.26145.3008368175564.83673788083543
0.27146.3083290434284.89875084843667
0.28147.3115004922594.90282837520206
0.29148.2982611358624.84136993932160
0.3149.2558657191974.70925298886557
0.31150.1715586768144.50518740339024
0.32151.0333963660284.23450841875766
0.33151.831140758333.90727704165578
0.34152.5570665711433.53879956165836
0.35153.2065258693743.14781706141606
0.36153.7781645633912.75285008298799
0.37154.2737629222112.37108141445901
0.38154.6977508730442.01625338775329
0.39155.0565064163601.69792247359130
0.4155.3575702094091.42049888946957
0.41155.6089011528451.18510576794921
0.42155.8182654990180.989155967171443
0.43155.9928086069740.82861323418654
0.44156.1388164311380.697636893996605
0.45156.2616417613060.591623832728411
0.46156.3657517944930.505570972221554
0.47156.4548481951520.436314507541701
0.48156.5320151494720.381049081399281
0.49156.5998609720080.337643987745571
0.5156.6606309909030.305268254899764
0.51156.7162812243190.282751435855423
0.52156.7685123637760.269156057310114
0.53156.8187711688010.263232161268964
0.54156.8682313175050.263578899610753
0.55156.9177679781160.267754438756673
0.56156.9679399133030.273787352475711
0.57157.0189900547310.280118112800141
0.58157.0708707586080.284786330061944
0.59157.1232942872670.286618022669345
0.6157.1758036031380.284967595341614
0.61157.2278544505800.279775682143355
0.62157.2788977794650.271048571437688
0.63157.3284521287720.260002942605327
0.64157.3761582896180.247045749855342
0.65157.4218125036850.233421707318368
0.66157.4653784455760.220031896922665
0.67157.5069812004030.207788833498049
0.68157.5468877371620.197137211505881
0.69157.5854779966490.188875769825797
0.7157.6232092924060.183261777968625
0.71157.6605752880530.180251958472883
0.72157.6980603898630.179752947415631
0.73157.7360915963580.181499702236211
0.74157.7749925877480.184564153588294
0.75157.8149482402130.188205164213083
0.76157.8559903139790.19146127348304
0.77157.8980150449080.193421794564928
0.78157.9408392863690.193716309080313
0.79157.9842930507480.192178265334833
0.8158.0283335228230.189658226587924
0.81158.0731514445550.187552388200744
0.82158.1192298086740.187329638874379
0.83158.1673131796580.190818520084960
0.84158.2182596997610.198483418628971
0.85158.2727798243790.209636104276041
0.86158.3311121246010.221573042602396
0.87158.3927339520430.230314071113074
0.88158.4562330760210.231877576166261
0.89158.5194568652960.223457532184959
0.9158.5800047556190.204381781745016
0.91158.6360588069020.177106192054614
0.92158.6874912265870.147005943959141
0.93158.7371547955620.122987480908589
0.94158.7921802299970.118335533332011
0.95158.8648079098720.147017660967457
0.96158.9715426175990.210110415639139
0.97159.127994534940.2924839180057
0.98159.3351945288720.369347356229844
0.99159.5568416594270.423536646117043


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')