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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, 25 Feb 2013 13:30:38 -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/25/t1361817214nht3acg0s2ghdv6.htm/, Retrieved Sun, 05 May 2024 20:47:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206955, Retrieved Sun, 05 May 2024 20:47:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [] [2013-02-25 18:30:38] [01f42343b359ee979b76c94d8b15b060] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22.38	
22.38	
22.38	
22.38	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
22.41	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.11	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
23.82	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
26.1	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.07	
27.45	
27.45	
27.45	
27.45	
27.45	
27.45	
27.45	
27.45

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206955&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206955&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0122.38025077411120.000957160042480989
0.0222.38118063276630.00344945753771033
0.0322.38321257973280.00707497439414807
0.0422.38647223688190.0105421934199556
0.0522.39067044972960.0125637691760911
0.0622.395233499680.0126276758501815
0.0722.39956947222820.0111325100057877
0.0822.40330426438710.00902510274799546
0.0922.4063966791850.00753692270183819
0.122.40914433137770.0083189740811203
0.1122.41214127433450.0127834641117415
0.1222.41623604060760.0216586626508287
0.1322.42249936062120.0358256457907935
0.1422.43217900725990.0561059869707338
0.1522.44661101067840.0828190409630788
0.1622.4670706622430.115325221374751
0.1722.49457324083870.151898173331704
0.1822.52966103237620.189708439278868
0.1922.57222937639810.225234615615603
0.222.62144371159680.254819660630684
0.2122.67578136110550.275295132274491
0.2222.73320167723660.284649264106401
0.2322.79141588174380.282412227745539
0.2422.84820371548040.269646781745203
0.2522.90171478214670.248830837694126
0.2622.95069962458120.223383440865615
0.2722.99463510528940.19717697163709
0.2823.03373338855780.174078528741189
0.2923.06884641652680.157632861995922
0.323.10129326883890.150490408834284
0.3123.13264463011620.15375063515556
0.3223.16449811490240.166464041118916
0.3323.1982732522290.186231530066714
0.3423.2350482796630.210069277100399
0.3523.27545423736930.234969941686661
0.3623.3196356169980.258165463151983
0.3723.36728062355860.277345237083897
0.3823.41771745981630.290885367755984
0.3923.47006591073670.298128784133071
0.423.52342650907520.299525921707243
0.4123.57708378047010.296703623282122
0.4223.63069663011250.292478275197958
0.4323.68444864226440.290713320049082
0.4423.73913418245530.295980512231918
0.4523.79616247692720.312767510216077
0.4623.85747071774460.344425555867595
0.4723.92534796479040.392216129445345
0.4824.00218333333880.455110199231211
0.4924.09016360619280.530114542572477
0.524.19095558255240.61258418240537
0.5124.30541538877190.696659698280298
0.5224.43336870218110.775712586912896
0.5324.57350081597520.842962508005052
0.5424.72338315784920.892285822579938
0.5524.87964428796550.918942419012572
0.5625.03827128157790.920248794026661
0.5725.19500580004650.895976734264519
0.5825.3457825088980.848411930713038
0.5925.48714944845720.782055346520234
0.625.61661228641120.703127149304709
0.6125.73285649490940.618741171154143
0.6225.83582064675950.53621883513197
0.6325.92661617258480.462352685769904
0.6426.00730992917330.402859037938022
0.6526.08060265094820.361780207134223
0.6626.14944719412860.340653454521028
0.6726.21665528676850.337691223501767
0.6826.28454094548520.348097767023627
0.6926.35464356391260.36551574719678
0.726.42756428961420.383548569764692
0.7126.50293577813730.396630947245962
0.7226.57952817101530.400531519161493
0.7326.6554747010570.392687979823711
0.7426.72858166262510.372370372203844
0.7526.796673653180.34066575385091
0.7626.85791992100440.300168583676125
0.7726.91109350831640.25453157781386
0.7826.9557307215510.20779739743261
0.7926.99217992307240.163881181792752
0.827.02154901608020.126143205760676
0.8127.04557362292950.0973131984835848
0.8227.06642915403580.0797723199947606
0.8327.0865013868480.0752229324272099
0.8427.10811930320390.0829063852836701
0.8527.1332516688760.0991317070553912
0.8627.16318407123340.11929408965731
0.8727.19822579476180.13861187583199
0.8827.23753210632470.152406147227818
0.8927.27914146453770.156702165921272
0.927.32029310422050.149334267548564
0.9127.35800167656860.130756559911046
0.9227.38974980014870.10416334458968
0.9327.41407521498840.0745844862653875
0.9427.43083720935190.0472453538861604
0.9527.44106589776940.0259106976091515
0.9627.44647808239010.0119148802456118
0.9727.44888580215570.00436390696575183
0.9827.44974314702040.00115663737865413
0.9927.4499662196860.000176778638658928

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 22.3802507741112 & 0.000957160042480989 \tabularnewline
0.02 & 22.3811806327663 & 0.00344945753771033 \tabularnewline
0.03 & 22.3832125797328 & 0.00707497439414807 \tabularnewline
0.04 & 22.3864722368819 & 0.0105421934199556 \tabularnewline
0.05 & 22.3906704497296 & 0.0125637691760911 \tabularnewline
0.06 & 22.39523349968 & 0.0126276758501815 \tabularnewline
0.07 & 22.3995694722282 & 0.0111325100057877 \tabularnewline
0.08 & 22.4033042643871 & 0.00902510274799546 \tabularnewline
0.09 & 22.406396679185 & 0.00753692270183819 \tabularnewline
0.1 & 22.4091443313777 & 0.0083189740811203 \tabularnewline
0.11 & 22.4121412743345 & 0.0127834641117415 \tabularnewline
0.12 & 22.4162360406076 & 0.0216586626508287 \tabularnewline
0.13 & 22.4224993606212 & 0.0358256457907935 \tabularnewline
0.14 & 22.4321790072599 & 0.0561059869707338 \tabularnewline
0.15 & 22.4466110106784 & 0.0828190409630788 \tabularnewline
0.16 & 22.467070662243 & 0.115325221374751 \tabularnewline
0.17 & 22.4945732408387 & 0.151898173331704 \tabularnewline
0.18 & 22.5296610323762 & 0.189708439278868 \tabularnewline
0.19 & 22.5722293763981 & 0.225234615615603 \tabularnewline
0.2 & 22.6214437115968 & 0.254819660630684 \tabularnewline
0.21 & 22.6757813611055 & 0.275295132274491 \tabularnewline
0.22 & 22.7332016772366 & 0.284649264106401 \tabularnewline
0.23 & 22.7914158817438 & 0.282412227745539 \tabularnewline
0.24 & 22.8482037154804 & 0.269646781745203 \tabularnewline
0.25 & 22.9017147821467 & 0.248830837694126 \tabularnewline
0.26 & 22.9506996245812 & 0.223383440865615 \tabularnewline
0.27 & 22.9946351052894 & 0.19717697163709 \tabularnewline
0.28 & 23.0337333885578 & 0.174078528741189 \tabularnewline
0.29 & 23.0688464165268 & 0.157632861995922 \tabularnewline
0.3 & 23.1012932688389 & 0.150490408834284 \tabularnewline
0.31 & 23.1326446301162 & 0.15375063515556 \tabularnewline
0.32 & 23.1644981149024 & 0.166464041118916 \tabularnewline
0.33 & 23.198273252229 & 0.186231530066714 \tabularnewline
0.34 & 23.235048279663 & 0.210069277100399 \tabularnewline
0.35 & 23.2754542373693 & 0.234969941686661 \tabularnewline
0.36 & 23.319635616998 & 0.258165463151983 \tabularnewline
0.37 & 23.3672806235586 & 0.277345237083897 \tabularnewline
0.38 & 23.4177174598163 & 0.290885367755984 \tabularnewline
0.39 & 23.4700659107367 & 0.298128784133071 \tabularnewline
0.4 & 23.5234265090752 & 0.299525921707243 \tabularnewline
0.41 & 23.5770837804701 & 0.296703623282122 \tabularnewline
0.42 & 23.6306966301125 & 0.292478275197958 \tabularnewline
0.43 & 23.6844486422644 & 0.290713320049082 \tabularnewline
0.44 & 23.7391341824553 & 0.295980512231918 \tabularnewline
0.45 & 23.7961624769272 & 0.312767510216077 \tabularnewline
0.46 & 23.8574707177446 & 0.344425555867595 \tabularnewline
0.47 & 23.9253479647904 & 0.392216129445345 \tabularnewline
0.48 & 24.0021833333388 & 0.455110199231211 \tabularnewline
0.49 & 24.0901636061928 & 0.530114542572477 \tabularnewline
0.5 & 24.1909555825524 & 0.61258418240537 \tabularnewline
0.51 & 24.3054153887719 & 0.696659698280298 \tabularnewline
0.52 & 24.4333687021811 & 0.775712586912896 \tabularnewline
0.53 & 24.5735008159752 & 0.842962508005052 \tabularnewline
0.54 & 24.7233831578492 & 0.892285822579938 \tabularnewline
0.55 & 24.8796442879655 & 0.918942419012572 \tabularnewline
0.56 & 25.0382712815779 & 0.920248794026661 \tabularnewline
0.57 & 25.1950058000465 & 0.895976734264519 \tabularnewline
0.58 & 25.345782508898 & 0.848411930713038 \tabularnewline
0.59 & 25.4871494484572 & 0.782055346520234 \tabularnewline
0.6 & 25.6166122864112 & 0.703127149304709 \tabularnewline
0.61 & 25.7328564949094 & 0.618741171154143 \tabularnewline
0.62 & 25.8358206467595 & 0.53621883513197 \tabularnewline
0.63 & 25.9266161725848 & 0.462352685769904 \tabularnewline
0.64 & 26.0073099291733 & 0.402859037938022 \tabularnewline
0.65 & 26.0806026509482 & 0.361780207134223 \tabularnewline
0.66 & 26.1494471941286 & 0.340653454521028 \tabularnewline
0.67 & 26.2166552867685 & 0.337691223501767 \tabularnewline
0.68 & 26.2845409454852 & 0.348097767023627 \tabularnewline
0.69 & 26.3546435639126 & 0.36551574719678 \tabularnewline
0.7 & 26.4275642896142 & 0.383548569764692 \tabularnewline
0.71 & 26.5029357781373 & 0.396630947245962 \tabularnewline
0.72 & 26.5795281710153 & 0.400531519161493 \tabularnewline
0.73 & 26.655474701057 & 0.392687979823711 \tabularnewline
0.74 & 26.7285816626251 & 0.372370372203844 \tabularnewline
0.75 & 26.79667365318 & 0.34066575385091 \tabularnewline
0.76 & 26.8579199210044 & 0.300168583676125 \tabularnewline
0.77 & 26.9110935083164 & 0.25453157781386 \tabularnewline
0.78 & 26.955730721551 & 0.20779739743261 \tabularnewline
0.79 & 26.9921799230724 & 0.163881181792752 \tabularnewline
0.8 & 27.0215490160802 & 0.126143205760676 \tabularnewline
0.81 & 27.0455736229295 & 0.0973131984835848 \tabularnewline
0.82 & 27.0664291540358 & 0.0797723199947606 \tabularnewline
0.83 & 27.086501386848 & 0.0752229324272099 \tabularnewline
0.84 & 27.1081193032039 & 0.0829063852836701 \tabularnewline
0.85 & 27.133251668876 & 0.0991317070553912 \tabularnewline
0.86 & 27.1631840712334 & 0.11929408965731 \tabularnewline
0.87 & 27.1982257947618 & 0.13861187583199 \tabularnewline
0.88 & 27.2375321063247 & 0.152406147227818 \tabularnewline
0.89 & 27.2791414645377 & 0.156702165921272 \tabularnewline
0.9 & 27.3202931042205 & 0.149334267548564 \tabularnewline
0.91 & 27.3580016765686 & 0.130756559911046 \tabularnewline
0.92 & 27.3897498001487 & 0.10416334458968 \tabularnewline
0.93 & 27.4140752149884 & 0.0745844862653875 \tabularnewline
0.94 & 27.4308372093519 & 0.0472453538861604 \tabularnewline
0.95 & 27.4410658977694 & 0.0259106976091515 \tabularnewline
0.96 & 27.4464780823901 & 0.0119148802456118 \tabularnewline
0.97 & 27.4488858021557 & 0.00436390696575183 \tabularnewline
0.98 & 27.4497431470204 & 0.00115663737865413 \tabularnewline
0.99 & 27.449966219686 & 0.000176778638658928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206955&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]22.3802507741112[/C][C]0.000957160042480989[/C][/ROW]
[ROW][C]0.02[/C][C]22.3811806327663[/C][C]0.00344945753771033[/C][/ROW]
[ROW][C]0.03[/C][C]22.3832125797328[/C][C]0.00707497439414807[/C][/ROW]
[ROW][C]0.04[/C][C]22.3864722368819[/C][C]0.0105421934199556[/C][/ROW]
[ROW][C]0.05[/C][C]22.3906704497296[/C][C]0.0125637691760911[/C][/ROW]
[ROW][C]0.06[/C][C]22.39523349968[/C][C]0.0126276758501815[/C][/ROW]
[ROW][C]0.07[/C][C]22.3995694722282[/C][C]0.0111325100057877[/C][/ROW]
[ROW][C]0.08[/C][C]22.4033042643871[/C][C]0.00902510274799546[/C][/ROW]
[ROW][C]0.09[/C][C]22.406396679185[/C][C]0.00753692270183819[/C][/ROW]
[ROW][C]0.1[/C][C]22.4091443313777[/C][C]0.0083189740811203[/C][/ROW]
[ROW][C]0.11[/C][C]22.4121412743345[/C][C]0.0127834641117415[/C][/ROW]
[ROW][C]0.12[/C][C]22.4162360406076[/C][C]0.0216586626508287[/C][/ROW]
[ROW][C]0.13[/C][C]22.4224993606212[/C][C]0.0358256457907935[/C][/ROW]
[ROW][C]0.14[/C][C]22.4321790072599[/C][C]0.0561059869707338[/C][/ROW]
[ROW][C]0.15[/C][C]22.4466110106784[/C][C]0.0828190409630788[/C][/ROW]
[ROW][C]0.16[/C][C]22.467070662243[/C][C]0.115325221374751[/C][/ROW]
[ROW][C]0.17[/C][C]22.4945732408387[/C][C]0.151898173331704[/C][/ROW]
[ROW][C]0.18[/C][C]22.5296610323762[/C][C]0.189708439278868[/C][/ROW]
[ROW][C]0.19[/C][C]22.5722293763981[/C][C]0.225234615615603[/C][/ROW]
[ROW][C]0.2[/C][C]22.6214437115968[/C][C]0.254819660630684[/C][/ROW]
[ROW][C]0.21[/C][C]22.6757813611055[/C][C]0.275295132274491[/C][/ROW]
[ROW][C]0.22[/C][C]22.7332016772366[/C][C]0.284649264106401[/C][/ROW]
[ROW][C]0.23[/C][C]22.7914158817438[/C][C]0.282412227745539[/C][/ROW]
[ROW][C]0.24[/C][C]22.8482037154804[/C][C]0.269646781745203[/C][/ROW]
[ROW][C]0.25[/C][C]22.9017147821467[/C][C]0.248830837694126[/C][/ROW]
[ROW][C]0.26[/C][C]22.9506996245812[/C][C]0.223383440865615[/C][/ROW]
[ROW][C]0.27[/C][C]22.9946351052894[/C][C]0.19717697163709[/C][/ROW]
[ROW][C]0.28[/C][C]23.0337333885578[/C][C]0.174078528741189[/C][/ROW]
[ROW][C]0.29[/C][C]23.0688464165268[/C][C]0.157632861995922[/C][/ROW]
[ROW][C]0.3[/C][C]23.1012932688389[/C][C]0.150490408834284[/C][/ROW]
[ROW][C]0.31[/C][C]23.1326446301162[/C][C]0.15375063515556[/C][/ROW]
[ROW][C]0.32[/C][C]23.1644981149024[/C][C]0.166464041118916[/C][/ROW]
[ROW][C]0.33[/C][C]23.198273252229[/C][C]0.186231530066714[/C][/ROW]
[ROW][C]0.34[/C][C]23.235048279663[/C][C]0.210069277100399[/C][/ROW]
[ROW][C]0.35[/C][C]23.2754542373693[/C][C]0.234969941686661[/C][/ROW]
[ROW][C]0.36[/C][C]23.319635616998[/C][C]0.258165463151983[/C][/ROW]
[ROW][C]0.37[/C][C]23.3672806235586[/C][C]0.277345237083897[/C][/ROW]
[ROW][C]0.38[/C][C]23.4177174598163[/C][C]0.290885367755984[/C][/ROW]
[ROW][C]0.39[/C][C]23.4700659107367[/C][C]0.298128784133071[/C][/ROW]
[ROW][C]0.4[/C][C]23.5234265090752[/C][C]0.299525921707243[/C][/ROW]
[ROW][C]0.41[/C][C]23.5770837804701[/C][C]0.296703623282122[/C][/ROW]
[ROW][C]0.42[/C][C]23.6306966301125[/C][C]0.292478275197958[/C][/ROW]
[ROW][C]0.43[/C][C]23.6844486422644[/C][C]0.290713320049082[/C][/ROW]
[ROW][C]0.44[/C][C]23.7391341824553[/C][C]0.295980512231918[/C][/ROW]
[ROW][C]0.45[/C][C]23.7961624769272[/C][C]0.312767510216077[/C][/ROW]
[ROW][C]0.46[/C][C]23.8574707177446[/C][C]0.344425555867595[/C][/ROW]
[ROW][C]0.47[/C][C]23.9253479647904[/C][C]0.392216129445345[/C][/ROW]
[ROW][C]0.48[/C][C]24.0021833333388[/C][C]0.455110199231211[/C][/ROW]
[ROW][C]0.49[/C][C]24.0901636061928[/C][C]0.530114542572477[/C][/ROW]
[ROW][C]0.5[/C][C]24.1909555825524[/C][C]0.61258418240537[/C][/ROW]
[ROW][C]0.51[/C][C]24.3054153887719[/C][C]0.696659698280298[/C][/ROW]
[ROW][C]0.52[/C][C]24.4333687021811[/C][C]0.775712586912896[/C][/ROW]
[ROW][C]0.53[/C][C]24.5735008159752[/C][C]0.842962508005052[/C][/ROW]
[ROW][C]0.54[/C][C]24.7233831578492[/C][C]0.892285822579938[/C][/ROW]
[ROW][C]0.55[/C][C]24.8796442879655[/C][C]0.918942419012572[/C][/ROW]
[ROW][C]0.56[/C][C]25.0382712815779[/C][C]0.920248794026661[/C][/ROW]
[ROW][C]0.57[/C][C]25.1950058000465[/C][C]0.895976734264519[/C][/ROW]
[ROW][C]0.58[/C][C]25.345782508898[/C][C]0.848411930713038[/C][/ROW]
[ROW][C]0.59[/C][C]25.4871494484572[/C][C]0.782055346520234[/C][/ROW]
[ROW][C]0.6[/C][C]25.6166122864112[/C][C]0.703127149304709[/C][/ROW]
[ROW][C]0.61[/C][C]25.7328564949094[/C][C]0.618741171154143[/C][/ROW]
[ROW][C]0.62[/C][C]25.8358206467595[/C][C]0.53621883513197[/C][/ROW]
[ROW][C]0.63[/C][C]25.9266161725848[/C][C]0.462352685769904[/C][/ROW]
[ROW][C]0.64[/C][C]26.0073099291733[/C][C]0.402859037938022[/C][/ROW]
[ROW][C]0.65[/C][C]26.0806026509482[/C][C]0.361780207134223[/C][/ROW]
[ROW][C]0.66[/C][C]26.1494471941286[/C][C]0.340653454521028[/C][/ROW]
[ROW][C]0.67[/C][C]26.2166552867685[/C][C]0.337691223501767[/C][/ROW]
[ROW][C]0.68[/C][C]26.2845409454852[/C][C]0.348097767023627[/C][/ROW]
[ROW][C]0.69[/C][C]26.3546435639126[/C][C]0.36551574719678[/C][/ROW]
[ROW][C]0.7[/C][C]26.4275642896142[/C][C]0.383548569764692[/C][/ROW]
[ROW][C]0.71[/C][C]26.5029357781373[/C][C]0.396630947245962[/C][/ROW]
[ROW][C]0.72[/C][C]26.5795281710153[/C][C]0.400531519161493[/C][/ROW]
[ROW][C]0.73[/C][C]26.655474701057[/C][C]0.392687979823711[/C][/ROW]
[ROW][C]0.74[/C][C]26.7285816626251[/C][C]0.372370372203844[/C][/ROW]
[ROW][C]0.75[/C][C]26.79667365318[/C][C]0.34066575385091[/C][/ROW]
[ROW][C]0.76[/C][C]26.8579199210044[/C][C]0.300168583676125[/C][/ROW]
[ROW][C]0.77[/C][C]26.9110935083164[/C][C]0.25453157781386[/C][/ROW]
[ROW][C]0.78[/C][C]26.955730721551[/C][C]0.20779739743261[/C][/ROW]
[ROW][C]0.79[/C][C]26.9921799230724[/C][C]0.163881181792752[/C][/ROW]
[ROW][C]0.8[/C][C]27.0215490160802[/C][C]0.126143205760676[/C][/ROW]
[ROW][C]0.81[/C][C]27.0455736229295[/C][C]0.0973131984835848[/C][/ROW]
[ROW][C]0.82[/C][C]27.0664291540358[/C][C]0.0797723199947606[/C][/ROW]
[ROW][C]0.83[/C][C]27.086501386848[/C][C]0.0752229324272099[/C][/ROW]
[ROW][C]0.84[/C][C]27.1081193032039[/C][C]0.0829063852836701[/C][/ROW]
[ROW][C]0.85[/C][C]27.133251668876[/C][C]0.0991317070553912[/C][/ROW]
[ROW][C]0.86[/C][C]27.1631840712334[/C][C]0.11929408965731[/C][/ROW]
[ROW][C]0.87[/C][C]27.1982257947618[/C][C]0.13861187583199[/C][/ROW]
[ROW][C]0.88[/C][C]27.2375321063247[/C][C]0.152406147227818[/C][/ROW]
[ROW][C]0.89[/C][C]27.2791414645377[/C][C]0.156702165921272[/C][/ROW]
[ROW][C]0.9[/C][C]27.3202931042205[/C][C]0.149334267548564[/C][/ROW]
[ROW][C]0.91[/C][C]27.3580016765686[/C][C]0.130756559911046[/C][/ROW]
[ROW][C]0.92[/C][C]27.3897498001487[/C][C]0.10416334458968[/C][/ROW]
[ROW][C]0.93[/C][C]27.4140752149884[/C][C]0.0745844862653875[/C][/ROW]
[ROW][C]0.94[/C][C]27.4308372093519[/C][C]0.0472453538861604[/C][/ROW]
[ROW][C]0.95[/C][C]27.4410658977694[/C][C]0.0259106976091515[/C][/ROW]
[ROW][C]0.96[/C][C]27.4464780823901[/C][C]0.0119148802456118[/C][/ROW]
[ROW][C]0.97[/C][C]27.4488858021557[/C][C]0.00436390696575183[/C][/ROW]
[ROW][C]0.98[/C][C]27.4497431470204[/C][C]0.00115663737865413[/C][/ROW]
[ROW][C]0.99[/C][C]27.449966219686[/C][C]0.000176778638658928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206955&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
0.0122.38025077411120.000957160042480989
0.0222.38118063276630.00344945753771033
0.0322.38321257973280.00707497439414807
0.0422.38647223688190.0105421934199556
0.0522.39067044972960.0125637691760911
0.0622.395233499680.0126276758501815
0.0722.39956947222820.0111325100057877
0.0822.40330426438710.00902510274799546
0.0922.4063966791850.00753692270183819
0.122.40914433137770.0083189740811203
0.1122.41214127433450.0127834641117415
0.1222.41623604060760.0216586626508287
0.1322.42249936062120.0358256457907935
0.1422.43217900725990.0561059869707338
0.1522.44661101067840.0828190409630788
0.1622.4670706622430.115325221374751
0.1722.49457324083870.151898173331704
0.1822.52966103237620.189708439278868
0.1922.57222937639810.225234615615603
0.222.62144371159680.254819660630684
0.2122.67578136110550.275295132274491
0.2222.73320167723660.284649264106401
0.2322.79141588174380.282412227745539
0.2422.84820371548040.269646781745203
0.2522.90171478214670.248830837694126
0.2622.95069962458120.223383440865615
0.2722.99463510528940.19717697163709
0.2823.03373338855780.174078528741189
0.2923.06884641652680.157632861995922
0.323.10129326883890.150490408834284
0.3123.13264463011620.15375063515556
0.3223.16449811490240.166464041118916
0.3323.1982732522290.186231530066714
0.3423.2350482796630.210069277100399
0.3523.27545423736930.234969941686661
0.3623.3196356169980.258165463151983
0.3723.36728062355860.277345237083897
0.3823.41771745981630.290885367755984
0.3923.47006591073670.298128784133071
0.423.52342650907520.299525921707243
0.4123.57708378047010.296703623282122
0.4223.63069663011250.292478275197958
0.4323.68444864226440.290713320049082
0.4423.73913418245530.295980512231918
0.4523.79616247692720.312767510216077
0.4623.85747071774460.344425555867595
0.4723.92534796479040.392216129445345
0.4824.00218333333880.455110199231211
0.4924.09016360619280.530114542572477
0.524.19095558255240.61258418240537
0.5124.30541538877190.696659698280298
0.5224.43336870218110.775712586912896
0.5324.57350081597520.842962508005052
0.5424.72338315784920.892285822579938
0.5524.87964428796550.918942419012572
0.5625.03827128157790.920248794026661
0.5725.19500580004650.895976734264519
0.5825.3457825088980.848411930713038
0.5925.48714944845720.782055346520234
0.625.61661228641120.703127149304709
0.6125.73285649490940.618741171154143
0.6225.83582064675950.53621883513197
0.6325.92661617258480.462352685769904
0.6426.00730992917330.402859037938022
0.6526.08060265094820.361780207134223
0.6626.14944719412860.340653454521028
0.6726.21665528676850.337691223501767
0.6826.28454094548520.348097767023627
0.6926.35464356391260.36551574719678
0.726.42756428961420.383548569764692
0.7126.50293577813730.396630947245962
0.7226.57952817101530.400531519161493
0.7326.6554747010570.392687979823711
0.7426.72858166262510.372370372203844
0.7526.796673653180.34066575385091
0.7626.85791992100440.300168583676125
0.7726.91109350831640.25453157781386
0.7826.9557307215510.20779739743261
0.7926.99217992307240.163881181792752
0.827.02154901608020.126143205760676
0.8127.04557362292950.0973131984835848
0.8227.06642915403580.0797723199947606
0.8327.0865013868480.0752229324272099
0.8427.10811930320390.0829063852836701
0.8527.1332516688760.0991317070553912
0.8627.16318407123340.11929408965731
0.8727.19822579476180.13861187583199
0.8827.23753210632470.152406147227818
0.8927.27914146453770.156702165921272
0.927.32029310422050.149334267548564
0.9127.35800167656860.130756559911046
0.9227.38974980014870.10416334458968
0.9327.41407521498840.0745844862653875
0.9427.43083720935190.0472453538861604
0.9527.44106589776940.0259106976091515
0.9627.44647808239010.0119148802456118
0.9727.44888580215570.00436390696575183
0.9827.44974314702040.00115663737865413
0.9927.4499662196860.000176778638658928


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')