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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 16 Dec 2011 09:33:43 -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/2011/Dec/16/t1324046081ci8ewltpowemgj9.htm/, Retrieved Fri, 03 May 2024 10:10:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155984, Retrieved Fri, 03 May 2024 10:10:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHarrel davis quantiles
Estimated Impact73

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Linear Regression Graphical Model Validation] [Colombia Coffee -...] [2008-02-26 10:22:06] [74be16979710d4c4e7c6647856088456]
-  M D  [Linear Regression Graphical Model Validation] [mini-tutorial] [2011-11-15 09:10:29] [227e53f633d125e3e89f625705633e7f]
- RMPD      [Harrell-Davis Quantiles] [Paper] [2011-12-16 14:33:43] [065e524ef27b3ebe8baf73e00eb8c266] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83
79
92
83
92
103
82
86
106
79
86
76
108
82
108
118
127
123
72
105
63
86
58
59
100
100
78
94
105
89
101
92
105
76
80
66
117
94
107
110
110
106
94
71
101
84
89
119
97
82
89
70
101
81
74
107
97
83
95
82
88
74
104
73
73
81
79
83
111
138
81
107
66
81
74
96
86
69
73
71
64
79
60
111
107
90
98
77
93
68
74
70
80
81
72
81
92
81

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155984&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155984&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.66146965862961.29986966375407
0.0259.87092829808282.01003697437345
0.0361.34656588708752.52615068260926
0.0462.87314578752762.66945096464752
0.0564.30880312267722.60680496602311
0.0665.59464023987942.49672972809309
0.0766.72939642515572.38131258435887
0.0867.73024387560852.24622706002979
0.0968.61234743592662.08422389971837
0.169.3872982996831.9112257258356
0.1170.06734756968631.75139564962318
0.1270.66734016260191.62190473530965
0.1371.20351912679541.5268250878955
0.1471.69146676706391.46299960425239
0.1572.14501471981011.42783528043208
0.1672.5764162327951.42311478758013
0.1772.9970489916161.4535455652974
0.1873.41778444135611.52234483622702
0.1973.84858559889441.62707226512632
0.274.29742860533841.75705427304165
0.2174.76900226446361.89497536298623
0.2275.26373543430612.02078529229765
0.2375.77756682935032.11546010474333
0.2476.30259802944932.16515342451042
0.2576.82847303236662.16370469262398
0.2677.34411234216262.11274428434567
0.2777.83936218875962.02021345303027
0.2878.30620540765561.89792348069769
0.2978.7393673486061.75878621041073
0.379.13635439022811.61394191709914
0.3179.49710743893471.47236365154338
0.3279.82349869934231.34061675685875
0.3380.11885468290871.22357262024368
0.3480.3875942600821.12569084556209
0.3580.63497926391221.05090841783389
0.3680.86692330711811.00330333265324
0.3781.08980112795650.98584718969958
0.3881.31023034514810.999784191565515
0.3981.53483339683611.0447243477656
0.481.77000771150961.11875759905451
0.4182.02172921398271.21916560088438
0.4282.29539529928261.34297780868549
0.4382.59569332281451.4866426141136
0.4482.92647254871961.64613225803424
0.4583.29060584351791.81642617853169
0.4683.68984686327241.99148941581121
0.4784.12470796594662.16481322652629
0.4884.59439318826812.32990997494305
0.4985.09681495743752.48048567646123
0.585.62870602425272.61114910019239
0.5186.18581796537872.71809550777973
0.5286.76318358149372.79879479419987
0.5387.35541760211852.85204880354891
0.5487.95703702938192.8780692823499
0.5588.56279279856982.87864832751646
0.5689.16801023131122.85687316335022
0.5789.76893164312862.817729157477
0.5890.36304043228162.76755387291501
0.5990.94932753508342.71396215544862
0.691.52844700577622.66563897946712
0.6192.10270598300672.63075303782198
0.6292.67585004705542.61623792806501
0.6393.25263710728572.62629854574876
0.6493.83823538468132.6612995143245
0.6594.43752402907962.71783064202351
0.6695.05440721435572.78902276456449
0.6795.69126361532232.86582308748117
0.6896.3486353014192.93817484673599
0.6997.02521133945492.99722630804203
0.797.71808893187383.03625240811014
0.7198.42321714362063.05193706476386
0.7299.1358727794873.04343966596373
0.7399.85101269048433.01163323597733
0.74100.5634055457642.9577931764922
0.75101.267555324342.88176337150689
0.76101.9575454367672.78197358904468
0.77102.6270002921982.65611919384177
0.78103.2693413919222.50340270607008
0.79103.8784132515462.32621556869433
0.8104.4494226140422.13174751511895
0.81104.9800386601361.93129701157648
0.82105.4714745798661.73971279741669
0.83105.9293871957161.57356124887516
0.84106.3644437258741.4506130571329
0.85106.7924201799311.38773133530821
0.86107.2338184448221.39754631006299
0.87107.7133258761931.48484748157311
0.88108.2598506977731.64774765799433
0.89108.9077525018991.88762249842251
0.9109.6984986934042.21667786357434
0.91110.6795889319372.64626762377837
0.92111.8969086265263.15071802920805
0.93113.3820121171573.63906775383514
0.94115.1476951832823.9918083223722
0.95117.2147811706994.17510935559365
0.96119.6901625132294.34379449019183
0.97122.8959340361154.79995722072521
0.98127.4049052771075.9747858627969
0.99133.2793117484968.38177446273789

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.6614696586296 & 1.29986966375407 \tabularnewline
0.02 & 59.8709282980828 & 2.01003697437345 \tabularnewline
0.03 & 61.3465658870875 & 2.52615068260926 \tabularnewline
0.04 & 62.8731457875276 & 2.66945096464752 \tabularnewline
0.05 & 64.3088031226772 & 2.60680496602311 \tabularnewline
0.06 & 65.5946402398794 & 2.49672972809309 \tabularnewline
0.07 & 66.7293964251557 & 2.38131258435887 \tabularnewline
0.08 & 67.7302438756085 & 2.24622706002979 \tabularnewline
0.09 & 68.6123474359266 & 2.08422389971837 \tabularnewline
0.1 & 69.387298299683 & 1.9112257258356 \tabularnewline
0.11 & 70.0673475696863 & 1.75139564962318 \tabularnewline
0.12 & 70.6673401626019 & 1.62190473530965 \tabularnewline
0.13 & 71.2035191267954 & 1.5268250878955 \tabularnewline
0.14 & 71.6914667670639 & 1.46299960425239 \tabularnewline
0.15 & 72.1450147198101 & 1.42783528043208 \tabularnewline
0.16 & 72.576416232795 & 1.42311478758013 \tabularnewline
0.17 & 72.997048991616 & 1.4535455652974 \tabularnewline
0.18 & 73.4177844413561 & 1.52234483622702 \tabularnewline
0.19 & 73.8485855988944 & 1.62707226512632 \tabularnewline
0.2 & 74.2974286053384 & 1.75705427304165 \tabularnewline
0.21 & 74.7690022644636 & 1.89497536298623 \tabularnewline
0.22 & 75.2637354343061 & 2.02078529229765 \tabularnewline
0.23 & 75.7775668293503 & 2.11546010474333 \tabularnewline
0.24 & 76.3025980294493 & 2.16515342451042 \tabularnewline
0.25 & 76.8284730323666 & 2.16370469262398 \tabularnewline
0.26 & 77.3441123421626 & 2.11274428434567 \tabularnewline
0.27 & 77.8393621887596 & 2.02021345303027 \tabularnewline
0.28 & 78.3062054076556 & 1.89792348069769 \tabularnewline
0.29 & 78.739367348606 & 1.75878621041073 \tabularnewline
0.3 & 79.1363543902281 & 1.61394191709914 \tabularnewline
0.31 & 79.4971074389347 & 1.47236365154338 \tabularnewline
0.32 & 79.8234986993423 & 1.34061675685875 \tabularnewline
0.33 & 80.1188546829087 & 1.22357262024368 \tabularnewline
0.34 & 80.387594260082 & 1.12569084556209 \tabularnewline
0.35 & 80.6349792639122 & 1.05090841783389 \tabularnewline
0.36 & 80.8669233071181 & 1.00330333265324 \tabularnewline
0.37 & 81.0898011279565 & 0.98584718969958 \tabularnewline
0.38 & 81.3102303451481 & 0.999784191565515 \tabularnewline
0.39 & 81.5348333968361 & 1.0447243477656 \tabularnewline
0.4 & 81.7700077115096 & 1.11875759905451 \tabularnewline
0.41 & 82.0217292139827 & 1.21916560088438 \tabularnewline
0.42 & 82.2953952992826 & 1.34297780868549 \tabularnewline
0.43 & 82.5956933228145 & 1.4866426141136 \tabularnewline
0.44 & 82.9264725487196 & 1.64613225803424 \tabularnewline
0.45 & 83.2906058435179 & 1.81642617853169 \tabularnewline
0.46 & 83.6898468632724 & 1.99148941581121 \tabularnewline
0.47 & 84.1247079659466 & 2.16481322652629 \tabularnewline
0.48 & 84.5943931882681 & 2.32990997494305 \tabularnewline
0.49 & 85.0968149574375 & 2.48048567646123 \tabularnewline
0.5 & 85.6287060242527 & 2.61114910019239 \tabularnewline
0.51 & 86.1858179653787 & 2.71809550777973 \tabularnewline
0.52 & 86.7631835814937 & 2.79879479419987 \tabularnewline
0.53 & 87.3554176021185 & 2.85204880354891 \tabularnewline
0.54 & 87.9570370293819 & 2.8780692823499 \tabularnewline
0.55 & 88.5627927985698 & 2.87864832751646 \tabularnewline
0.56 & 89.1680102313112 & 2.85687316335022 \tabularnewline
0.57 & 89.7689316431286 & 2.817729157477 \tabularnewline
0.58 & 90.3630404322816 & 2.76755387291501 \tabularnewline
0.59 & 90.9493275350834 & 2.71396215544862 \tabularnewline
0.6 & 91.5284470057762 & 2.66563897946712 \tabularnewline
0.61 & 92.1027059830067 & 2.63075303782198 \tabularnewline
0.62 & 92.6758500470554 & 2.61623792806501 \tabularnewline
0.63 & 93.2526371072857 & 2.62629854574876 \tabularnewline
0.64 & 93.8382353846813 & 2.6612995143245 \tabularnewline
0.65 & 94.4375240290796 & 2.71783064202351 \tabularnewline
0.66 & 95.0544072143557 & 2.78902276456449 \tabularnewline
0.67 & 95.6912636153223 & 2.86582308748117 \tabularnewline
0.68 & 96.348635301419 & 2.93817484673599 \tabularnewline
0.69 & 97.0252113394549 & 2.99722630804203 \tabularnewline
0.7 & 97.7180889318738 & 3.03625240811014 \tabularnewline
0.71 & 98.4232171436206 & 3.05193706476386 \tabularnewline
0.72 & 99.135872779487 & 3.04343966596373 \tabularnewline
0.73 & 99.8510126904843 & 3.01163323597733 \tabularnewline
0.74 & 100.563405545764 & 2.9577931764922 \tabularnewline
0.75 & 101.26755532434 & 2.88176337150689 \tabularnewline
0.76 & 101.957545436767 & 2.78197358904468 \tabularnewline
0.77 & 102.627000292198 & 2.65611919384177 \tabularnewline
0.78 & 103.269341391922 & 2.50340270607008 \tabularnewline
0.79 & 103.878413251546 & 2.32621556869433 \tabularnewline
0.8 & 104.449422614042 & 2.13174751511895 \tabularnewline
0.81 & 104.980038660136 & 1.93129701157648 \tabularnewline
0.82 & 105.471474579866 & 1.73971279741669 \tabularnewline
0.83 & 105.929387195716 & 1.57356124887516 \tabularnewline
0.84 & 106.364443725874 & 1.4506130571329 \tabularnewline
0.85 & 106.792420179931 & 1.38773133530821 \tabularnewline
0.86 & 107.233818444822 & 1.39754631006299 \tabularnewline
0.87 & 107.713325876193 & 1.48484748157311 \tabularnewline
0.88 & 108.259850697773 & 1.64774765799433 \tabularnewline
0.89 & 108.907752501899 & 1.88762249842251 \tabularnewline
0.9 & 109.698498693404 & 2.21667786357434 \tabularnewline
0.91 & 110.679588931937 & 2.64626762377837 \tabularnewline
0.92 & 111.896908626526 & 3.15071802920805 \tabularnewline
0.93 & 113.382012117157 & 3.63906775383514 \tabularnewline
0.94 & 115.147695183282 & 3.9918083223722 \tabularnewline
0.95 & 117.214781170699 & 4.17510935559365 \tabularnewline
0.96 & 119.690162513229 & 4.34379449019183 \tabularnewline
0.97 & 122.895934036115 & 4.79995722072521 \tabularnewline
0.98 & 127.404905277107 & 5.9747858627969 \tabularnewline
0.99 & 133.279311748496 & 8.38177446273789 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155984&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]58.6614696586296[/C][C]1.29986966375407[/C][/ROW]
[ROW][C]0.02[/C][C]59.8709282980828[/C][C]2.01003697437345[/C][/ROW]
[ROW][C]0.03[/C][C]61.3465658870875[/C][C]2.52615068260926[/C][/ROW]
[ROW][C]0.04[/C][C]62.8731457875276[/C][C]2.66945096464752[/C][/ROW]
[ROW][C]0.05[/C][C]64.3088031226772[/C][C]2.60680496602311[/C][/ROW]
[ROW][C]0.06[/C][C]65.5946402398794[/C][C]2.49672972809309[/C][/ROW]
[ROW][C]0.07[/C][C]66.7293964251557[/C][C]2.38131258435887[/C][/ROW]
[ROW][C]0.08[/C][C]67.7302438756085[/C][C]2.24622706002979[/C][/ROW]
[ROW][C]0.09[/C][C]68.6123474359266[/C][C]2.08422389971837[/C][/ROW]
[ROW][C]0.1[/C][C]69.387298299683[/C][C]1.9112257258356[/C][/ROW]
[ROW][C]0.11[/C][C]70.0673475696863[/C][C]1.75139564962318[/C][/ROW]
[ROW][C]0.12[/C][C]70.6673401626019[/C][C]1.62190473530965[/C][/ROW]
[ROW][C]0.13[/C][C]71.2035191267954[/C][C]1.5268250878955[/C][/ROW]
[ROW][C]0.14[/C][C]71.6914667670639[/C][C]1.46299960425239[/C][/ROW]
[ROW][C]0.15[/C][C]72.1450147198101[/C][C]1.42783528043208[/C][/ROW]
[ROW][C]0.16[/C][C]72.576416232795[/C][C]1.42311478758013[/C][/ROW]
[ROW][C]0.17[/C][C]72.997048991616[/C][C]1.4535455652974[/C][/ROW]
[ROW][C]0.18[/C][C]73.4177844413561[/C][C]1.52234483622702[/C][/ROW]
[ROW][C]0.19[/C][C]73.8485855988944[/C][C]1.62707226512632[/C][/ROW]
[ROW][C]0.2[/C][C]74.2974286053384[/C][C]1.75705427304165[/C][/ROW]
[ROW][C]0.21[/C][C]74.7690022644636[/C][C]1.89497536298623[/C][/ROW]
[ROW][C]0.22[/C][C]75.2637354343061[/C][C]2.02078529229765[/C][/ROW]
[ROW][C]0.23[/C][C]75.7775668293503[/C][C]2.11546010474333[/C][/ROW]
[ROW][C]0.24[/C][C]76.3025980294493[/C][C]2.16515342451042[/C][/ROW]
[ROW][C]0.25[/C][C]76.8284730323666[/C][C]2.16370469262398[/C][/ROW]
[ROW][C]0.26[/C][C]77.3441123421626[/C][C]2.11274428434567[/C][/ROW]
[ROW][C]0.27[/C][C]77.8393621887596[/C][C]2.02021345303027[/C][/ROW]
[ROW][C]0.28[/C][C]78.3062054076556[/C][C]1.89792348069769[/C][/ROW]
[ROW][C]0.29[/C][C]78.739367348606[/C][C]1.75878621041073[/C][/ROW]
[ROW][C]0.3[/C][C]79.1363543902281[/C][C]1.61394191709914[/C][/ROW]
[ROW][C]0.31[/C][C]79.4971074389347[/C][C]1.47236365154338[/C][/ROW]
[ROW][C]0.32[/C][C]79.8234986993423[/C][C]1.34061675685875[/C][/ROW]
[ROW][C]0.33[/C][C]80.1188546829087[/C][C]1.22357262024368[/C][/ROW]
[ROW][C]0.34[/C][C]80.387594260082[/C][C]1.12569084556209[/C][/ROW]
[ROW][C]0.35[/C][C]80.6349792639122[/C][C]1.05090841783389[/C][/ROW]
[ROW][C]0.36[/C][C]80.8669233071181[/C][C]1.00330333265324[/C][/ROW]
[ROW][C]0.37[/C][C]81.0898011279565[/C][C]0.98584718969958[/C][/ROW]
[ROW][C]0.38[/C][C]81.3102303451481[/C][C]0.999784191565515[/C][/ROW]
[ROW][C]0.39[/C][C]81.5348333968361[/C][C]1.0447243477656[/C][/ROW]
[ROW][C]0.4[/C][C]81.7700077115096[/C][C]1.11875759905451[/C][/ROW]
[ROW][C]0.41[/C][C]82.0217292139827[/C][C]1.21916560088438[/C][/ROW]
[ROW][C]0.42[/C][C]82.2953952992826[/C][C]1.34297780868549[/C][/ROW]
[ROW][C]0.43[/C][C]82.5956933228145[/C][C]1.4866426141136[/C][/ROW]
[ROW][C]0.44[/C][C]82.9264725487196[/C][C]1.64613225803424[/C][/ROW]
[ROW][C]0.45[/C][C]83.2906058435179[/C][C]1.81642617853169[/C][/ROW]
[ROW][C]0.46[/C][C]83.6898468632724[/C][C]1.99148941581121[/C][/ROW]
[ROW][C]0.47[/C][C]84.1247079659466[/C][C]2.16481322652629[/C][/ROW]
[ROW][C]0.48[/C][C]84.5943931882681[/C][C]2.32990997494305[/C][/ROW]
[ROW][C]0.49[/C][C]85.0968149574375[/C][C]2.48048567646123[/C][/ROW]
[ROW][C]0.5[/C][C]85.6287060242527[/C][C]2.61114910019239[/C][/ROW]
[ROW][C]0.51[/C][C]86.1858179653787[/C][C]2.71809550777973[/C][/ROW]
[ROW][C]0.52[/C][C]86.7631835814937[/C][C]2.79879479419987[/C][/ROW]
[ROW][C]0.53[/C][C]87.3554176021185[/C][C]2.85204880354891[/C][/ROW]
[ROW][C]0.54[/C][C]87.9570370293819[/C][C]2.8780692823499[/C][/ROW]
[ROW][C]0.55[/C][C]88.5627927985698[/C][C]2.87864832751646[/C][/ROW]
[ROW][C]0.56[/C][C]89.1680102313112[/C][C]2.85687316335022[/C][/ROW]
[ROW][C]0.57[/C][C]89.7689316431286[/C][C]2.817729157477[/C][/ROW]
[ROW][C]0.58[/C][C]90.3630404322816[/C][C]2.76755387291501[/C][/ROW]
[ROW][C]0.59[/C][C]90.9493275350834[/C][C]2.71396215544862[/C][/ROW]
[ROW][C]0.6[/C][C]91.5284470057762[/C][C]2.66563897946712[/C][/ROW]
[ROW][C]0.61[/C][C]92.1027059830067[/C][C]2.63075303782198[/C][/ROW]
[ROW][C]0.62[/C][C]92.6758500470554[/C][C]2.61623792806501[/C][/ROW]
[ROW][C]0.63[/C][C]93.2526371072857[/C][C]2.62629854574876[/C][/ROW]
[ROW][C]0.64[/C][C]93.8382353846813[/C][C]2.6612995143245[/C][/ROW]
[ROW][C]0.65[/C][C]94.4375240290796[/C][C]2.71783064202351[/C][/ROW]
[ROW][C]0.66[/C][C]95.0544072143557[/C][C]2.78902276456449[/C][/ROW]
[ROW][C]0.67[/C][C]95.6912636153223[/C][C]2.86582308748117[/C][/ROW]
[ROW][C]0.68[/C][C]96.348635301419[/C][C]2.93817484673599[/C][/ROW]
[ROW][C]0.69[/C][C]97.0252113394549[/C][C]2.99722630804203[/C][/ROW]
[ROW][C]0.7[/C][C]97.7180889318738[/C][C]3.03625240811014[/C][/ROW]
[ROW][C]0.71[/C][C]98.4232171436206[/C][C]3.05193706476386[/C][/ROW]
[ROW][C]0.72[/C][C]99.135872779487[/C][C]3.04343966596373[/C][/ROW]
[ROW][C]0.73[/C][C]99.8510126904843[/C][C]3.01163323597733[/C][/ROW]
[ROW][C]0.74[/C][C]100.563405545764[/C][C]2.9577931764922[/C][/ROW]
[ROW][C]0.75[/C][C]101.26755532434[/C][C]2.88176337150689[/C][/ROW]
[ROW][C]0.76[/C][C]101.957545436767[/C][C]2.78197358904468[/C][/ROW]
[ROW][C]0.77[/C][C]102.627000292198[/C][C]2.65611919384177[/C][/ROW]
[ROW][C]0.78[/C][C]103.269341391922[/C][C]2.50340270607008[/C][/ROW]
[ROW][C]0.79[/C][C]103.878413251546[/C][C]2.32621556869433[/C][/ROW]
[ROW][C]0.8[/C][C]104.449422614042[/C][C]2.13174751511895[/C][/ROW]
[ROW][C]0.81[/C][C]104.980038660136[/C][C]1.93129701157648[/C][/ROW]
[ROW][C]0.82[/C][C]105.471474579866[/C][C]1.73971279741669[/C][/ROW]
[ROW][C]0.83[/C][C]105.929387195716[/C][C]1.57356124887516[/C][/ROW]
[ROW][C]0.84[/C][C]106.364443725874[/C][C]1.4506130571329[/C][/ROW]
[ROW][C]0.85[/C][C]106.792420179931[/C][C]1.38773133530821[/C][/ROW]
[ROW][C]0.86[/C][C]107.233818444822[/C][C]1.39754631006299[/C][/ROW]
[ROW][C]0.87[/C][C]107.713325876193[/C][C]1.48484748157311[/C][/ROW]
[ROW][C]0.88[/C][C]108.259850697773[/C][C]1.64774765799433[/C][/ROW]
[ROW][C]0.89[/C][C]108.907752501899[/C][C]1.88762249842251[/C][/ROW]
[ROW][C]0.9[/C][C]109.698498693404[/C][C]2.21667786357434[/C][/ROW]
[ROW][C]0.91[/C][C]110.679588931937[/C][C]2.64626762377837[/C][/ROW]
[ROW][C]0.92[/C][C]111.896908626526[/C][C]3.15071802920805[/C][/ROW]
[ROW][C]0.93[/C][C]113.382012117157[/C][C]3.63906775383514[/C][/ROW]
[ROW][C]0.94[/C][C]115.147695183282[/C][C]3.9918083223722[/C][/ROW]
[ROW][C]0.95[/C][C]117.214781170699[/C][C]4.17510935559365[/C][/ROW]
[ROW][C]0.96[/C][C]119.690162513229[/C][C]4.34379449019183[/C][/ROW]
[ROW][C]0.97[/C][C]122.895934036115[/C][C]4.79995722072521[/C][/ROW]
[ROW][C]0.98[/C][C]127.404905277107[/C][C]5.9747858627969[/C][/ROW]
[ROW][C]0.99[/C][C]133.279311748496[/C][C]8.38177446273789[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155984&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
0.0158.66146965862961.29986966375407
0.0259.87092829808282.01003697437345
0.0361.34656588708752.52615068260926
0.0462.87314578752762.66945096464752
0.0564.30880312267722.60680496602311
0.0665.59464023987942.49672972809309
0.0766.72939642515572.38131258435887
0.0867.73024387560852.24622706002979
0.0968.61234743592662.08422389971837
0.169.3872982996831.9112257258356
0.1170.06734756968631.75139564962318
0.1270.66734016260191.62190473530965
0.1371.20351912679541.5268250878955
0.1471.69146676706391.46299960425239
0.1572.14501471981011.42783528043208
0.1672.5764162327951.42311478758013
0.1772.9970489916161.4535455652974
0.1873.41778444135611.52234483622702
0.1973.84858559889441.62707226512632
0.274.29742860533841.75705427304165
0.2174.76900226446361.89497536298623
0.2275.26373543430612.02078529229765
0.2375.77756682935032.11546010474333
0.2476.30259802944932.16515342451042
0.2576.82847303236662.16370469262398
0.2677.34411234216262.11274428434567
0.2777.83936218875962.02021345303027
0.2878.30620540765561.89792348069769
0.2978.7393673486061.75878621041073
0.379.13635439022811.61394191709914
0.3179.49710743893471.47236365154338
0.3279.82349869934231.34061675685875
0.3380.11885468290871.22357262024368
0.3480.3875942600821.12569084556209
0.3580.63497926391221.05090841783389
0.3680.86692330711811.00330333265324
0.3781.08980112795650.98584718969958
0.3881.31023034514810.999784191565515
0.3981.53483339683611.0447243477656
0.481.77000771150961.11875759905451
0.4182.02172921398271.21916560088438
0.4282.29539529928261.34297780868549
0.4382.59569332281451.4866426141136
0.4482.92647254871961.64613225803424
0.4583.29060584351791.81642617853169
0.4683.68984686327241.99148941581121
0.4784.12470796594662.16481322652629
0.4884.59439318826812.32990997494305
0.4985.09681495743752.48048567646123
0.585.62870602425272.61114910019239
0.5186.18581796537872.71809550777973
0.5286.76318358149372.79879479419987
0.5387.35541760211852.85204880354891
0.5487.95703702938192.8780692823499
0.5588.56279279856982.87864832751646
0.5689.16801023131122.85687316335022
0.5789.76893164312862.817729157477
0.5890.36304043228162.76755387291501
0.5990.94932753508342.71396215544862
0.691.52844700577622.66563897946712
0.6192.10270598300672.63075303782198
0.6292.67585004705542.61623792806501
0.6393.25263710728572.62629854574876
0.6493.83823538468132.6612995143245
0.6594.43752402907962.71783064202351
0.6695.05440721435572.78902276456449
0.6795.69126361532232.86582308748117
0.6896.3486353014192.93817484673599
0.6997.02521133945492.99722630804203
0.797.71808893187383.03625240811014
0.7198.42321714362063.05193706476386
0.7299.1358727794873.04343966596373
0.7399.85101269048433.01163323597733
0.74100.5634055457642.9577931764922
0.75101.267555324342.88176337150689
0.76101.9575454367672.78197358904468
0.77102.6270002921982.65611919384177
0.78103.2693413919222.50340270607008
0.79103.8784132515462.32621556869433
0.8104.4494226140422.13174751511895
0.81104.9800386601361.93129701157648
0.82105.4714745798661.73971279741669
0.83105.9293871957161.57356124887516
0.84106.3644437258741.4506130571329
0.85106.7924201799311.38773133530821
0.86107.2338184448221.39754631006299
0.87107.7133258761931.48484748157311
0.88108.2598506977731.64774765799433
0.89108.9077525018991.88762249842251
0.9109.6984986934042.21667786357434
0.91110.6795889319372.64626762377837
0.92111.8969086265263.15071802920805
0.93113.3820121171573.63906775383514
0.94115.1476951832823.9918083223722
0.95117.2147811706994.17510935559365
0.96119.6901625132294.34379449019183
0.97122.8959340361154.79995722072521
0.98127.4049052771075.9747858627969
0.99133.2793117484968.38177446273789


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')