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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 computationThu, 19 Aug 2010 19:36:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/19/t1282246721gk8kxkescoo75z6.htm/, Retrieved Fri, 03 May 2024 06:35:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79354, Retrieved Fri, 03 May 2024 06:35:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgilian keirsebelik
Estimated Impact139

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] [tijdreeks B-Stap7] [2010-08-19 19:36:31] [46199ea7e385a69efb178ac615a86e3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
51
50
49
47
45
44
45
47
48
48
49
51
45
42
40
37
28
33
32
38
38
34
38
48
41
41
43
37
22
30
32
41
44
37
53
67
62
63
68
62
50
64
71
76
73
68
78
89
74
74
73
65
55
69
80
81
80
86
90
100
90
89
83
63
48
62
69
73
76
77
75
77
78
73
74
55
36
41
52
53
49
47
44
55

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79354&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79354&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79354&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.08155075650874.72559944658515
0.0226.80421798288573.37282184896911
0.0329.04013691695112.51585878375530
0.0430.63148839792332.09486926913266
0.0531.80095554000251.95052105153086
0.0632.75506701427911.97008841957962
0.0733.60675552785592.03225812917185
0.0834.39912036207052.04452442503831
0.0935.13765248500201.97687271974966
0.135.81543779137791.85308429261739
0.1136.42910746551391.72274564528756
0.1236.98487461427311.63168949454069
0.1337.49686678514091.60184823656798
0.1437.98187160459871.6267616723171
0.1538.45426439769211.68275918932185
0.1638.92319274373561.74440725938442
0.1739.39232683782301.79441934993370
0.1839.86136477556761.82635011596208
0.1940.32813539090191.84255675656393
0.240.79035972812331.84992423845022
0.2141.24660807956091.85517327180653
0.2241.69645558127151.86186701077088
0.2342.14013158445521.86995380475901
0.2442.57802969888351.87707638633635
0.2543.01034618733631.88071568957392
0.2643.43694417544011.87949523676251
0.2743.85739665754841.87325870878737
0.2844.27109710710711.86252251858366
0.2944.67734410084291.84741969851023
0.345.07536936214831.82752295058530
0.3145.46434057779971.80176988856787
0.3245.84339891336761.76924732304669
0.3346.21177883037231.73019087602111
0.3446.56901837180681.68650528407070
0.3546.91522474246781.64216002411580
0.3647.25133287397371.60259129020613
0.3747.57929302283611.57447484080899
0.3847.90214458574081.56431119838890
0.3948.22396633079951.57788831309335
0.448.54972492279811.61957934198347
0.4148.88506355563741.69212030352713
0.4249.23607589444561.79684295775325
0.4349.60909846214081.93392897242480
0.4450.01053257933932.10311387962377
0.4550.44668270143642.30352845105796
0.4650.92357934925082.53369606000818
0.4751.44674815882492.79083834939196
0.4852.02089550598343.07020532686632
0.4952.64950560584483.36466753088125
0.553.33437950972923.66413322450437
0.5154.07518432281283.95578110026232
0.5254.86910962990394.22509637100619
0.5355.71073586839114.45703457881334
0.5456.59219842712454.63816711110001
0.5557.50368142485934.75902802538064
0.5658.43420582245294.81501531375565
0.5759.37260530114854.80811447425972
0.5860.30853100564084.74593617453022
0.5961.23330983235134.64087631787996
0.662.14050719100744.50763725893362
0.6163.02610750602684.36098521680503
0.6263.8883063164144.21284149733717
0.6364.72698417919284.07106134080545
0.6465.54298586111833.93888882980138
0.6566.33734968166793.81482689835435
0.6667.11062390232973.69438928172741
0.6767.86237980318243.57116146889014
0.6868.59099535136373.43819588236168
0.6969.29374502843543.28987709783615
0.769.96719014122153.12255333219411
0.7170.60781711041942.93652101911955
0.7271.21282010367262.73589401373963
0.7371.78087875346252.52895092148422
0.7472.31275893564772.32736550653809
0.7572.81158252202842.14377379679546
0.7673.2826787845921.98979185473965
0.7773.73303611560371.87296751496214
0.7874.17048964155281.79537575909087
0.7974.60286920930251.75308440618720
0.875.0373585194561.73858787432104
0.8175.48026603894271.74383659394628
0.8275.93729891615521.76343765835796
0.8376.41430711549211.79636351515849
0.8476.91837644946681.84661323708736
0.8577.4591138857641.92206693505925
0.8678.04993606198192.03371365221969
0.8778.70902491639252.19454910933792
0.8879.45924797329472.41660707121130
0.8980.32583269595922.70385391075476
0.981.3303762429113.03852239711008
0.9182.48066237995763.36692468333002
0.9283.75848280942653.59656211838832
0.9385.11220497351613.61815783172125
0.9486.46639795310263.35601953031086
0.9587.76699884381762.83669625555911
0.9689.08300487014692.27699230849605
0.9790.74674891082582.3124276887267
0.9893.3275714768843.9201518235281
0.9996.94174813812777.0430560841818

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 24.0815507565087 & 4.72559944658515 \tabularnewline
0.02 & 26.8042179828857 & 3.37282184896911 \tabularnewline
0.03 & 29.0401369169511 & 2.51585878375530 \tabularnewline
0.04 & 30.6314883979233 & 2.09486926913266 \tabularnewline
0.05 & 31.8009555400025 & 1.95052105153086 \tabularnewline
0.06 & 32.7550670142791 & 1.97008841957962 \tabularnewline
0.07 & 33.6067555278559 & 2.03225812917185 \tabularnewline
0.08 & 34.3991203620705 & 2.04452442503831 \tabularnewline
0.09 & 35.1376524850020 & 1.97687271974966 \tabularnewline
0.1 & 35.8154377913779 & 1.85308429261739 \tabularnewline
0.11 & 36.4291074655139 & 1.72274564528756 \tabularnewline
0.12 & 36.9848746142731 & 1.63168949454069 \tabularnewline
0.13 & 37.4968667851409 & 1.60184823656798 \tabularnewline
0.14 & 37.9818716045987 & 1.6267616723171 \tabularnewline
0.15 & 38.4542643976921 & 1.68275918932185 \tabularnewline
0.16 & 38.9231927437356 & 1.74440725938442 \tabularnewline
0.17 & 39.3923268378230 & 1.79441934993370 \tabularnewline
0.18 & 39.8613647755676 & 1.82635011596208 \tabularnewline
0.19 & 40.3281353909019 & 1.84255675656393 \tabularnewline
0.2 & 40.7903597281233 & 1.84992423845022 \tabularnewline
0.21 & 41.2466080795609 & 1.85517327180653 \tabularnewline
0.22 & 41.6964555812715 & 1.86186701077088 \tabularnewline
0.23 & 42.1401315844552 & 1.86995380475901 \tabularnewline
0.24 & 42.5780296988835 & 1.87707638633635 \tabularnewline
0.25 & 43.0103461873363 & 1.88071568957392 \tabularnewline
0.26 & 43.4369441754401 & 1.87949523676251 \tabularnewline
0.27 & 43.8573966575484 & 1.87325870878737 \tabularnewline
0.28 & 44.2710971071071 & 1.86252251858366 \tabularnewline
0.29 & 44.6773441008429 & 1.84741969851023 \tabularnewline
0.3 & 45.0753693621483 & 1.82752295058530 \tabularnewline
0.31 & 45.4643405777997 & 1.80176988856787 \tabularnewline
0.32 & 45.8433989133676 & 1.76924732304669 \tabularnewline
0.33 & 46.2117788303723 & 1.73019087602111 \tabularnewline
0.34 & 46.5690183718068 & 1.68650528407070 \tabularnewline
0.35 & 46.9152247424678 & 1.64216002411580 \tabularnewline
0.36 & 47.2513328739737 & 1.60259129020613 \tabularnewline
0.37 & 47.5792930228361 & 1.57447484080899 \tabularnewline
0.38 & 47.9021445857408 & 1.56431119838890 \tabularnewline
0.39 & 48.2239663307995 & 1.57788831309335 \tabularnewline
0.4 & 48.5497249227981 & 1.61957934198347 \tabularnewline
0.41 & 48.8850635556374 & 1.69212030352713 \tabularnewline
0.42 & 49.2360758944456 & 1.79684295775325 \tabularnewline
0.43 & 49.6090984621408 & 1.93392897242480 \tabularnewline
0.44 & 50.0105325793393 & 2.10311387962377 \tabularnewline
0.45 & 50.4466827014364 & 2.30352845105796 \tabularnewline
0.46 & 50.9235793492508 & 2.53369606000818 \tabularnewline
0.47 & 51.4467481588249 & 2.79083834939196 \tabularnewline
0.48 & 52.0208955059834 & 3.07020532686632 \tabularnewline
0.49 & 52.6495056058448 & 3.36466753088125 \tabularnewline
0.5 & 53.3343795097292 & 3.66413322450437 \tabularnewline
0.51 & 54.0751843228128 & 3.95578110026232 \tabularnewline
0.52 & 54.8691096299039 & 4.22509637100619 \tabularnewline
0.53 & 55.7107358683911 & 4.45703457881334 \tabularnewline
0.54 & 56.5921984271245 & 4.63816711110001 \tabularnewline
0.55 & 57.5036814248593 & 4.75902802538064 \tabularnewline
0.56 & 58.4342058224529 & 4.81501531375565 \tabularnewline
0.57 & 59.3726053011485 & 4.80811447425972 \tabularnewline
0.58 & 60.3085310056408 & 4.74593617453022 \tabularnewline
0.59 & 61.2333098323513 & 4.64087631787996 \tabularnewline
0.6 & 62.1405071910074 & 4.50763725893362 \tabularnewline
0.61 & 63.0261075060268 & 4.36098521680503 \tabularnewline
0.62 & 63.888306316414 & 4.21284149733717 \tabularnewline
0.63 & 64.7269841791928 & 4.07106134080545 \tabularnewline
0.64 & 65.5429858611183 & 3.93888882980138 \tabularnewline
0.65 & 66.3373496816679 & 3.81482689835435 \tabularnewline
0.66 & 67.1106239023297 & 3.69438928172741 \tabularnewline
0.67 & 67.8623798031824 & 3.57116146889014 \tabularnewline
0.68 & 68.5909953513637 & 3.43819588236168 \tabularnewline
0.69 & 69.2937450284354 & 3.28987709783615 \tabularnewline
0.7 & 69.9671901412215 & 3.12255333219411 \tabularnewline
0.71 & 70.6078171104194 & 2.93652101911955 \tabularnewline
0.72 & 71.2128201036726 & 2.73589401373963 \tabularnewline
0.73 & 71.7808787534625 & 2.52895092148422 \tabularnewline
0.74 & 72.3127589356477 & 2.32736550653809 \tabularnewline
0.75 & 72.8115825220284 & 2.14377379679546 \tabularnewline
0.76 & 73.282678784592 & 1.98979185473965 \tabularnewline
0.77 & 73.7330361156037 & 1.87296751496214 \tabularnewline
0.78 & 74.1704896415528 & 1.79537575909087 \tabularnewline
0.79 & 74.6028692093025 & 1.75308440618720 \tabularnewline
0.8 & 75.037358519456 & 1.73858787432104 \tabularnewline
0.81 & 75.4802660389427 & 1.74383659394628 \tabularnewline
0.82 & 75.9372989161552 & 1.76343765835796 \tabularnewline
0.83 & 76.4143071154921 & 1.79636351515849 \tabularnewline
0.84 & 76.9183764494668 & 1.84661323708736 \tabularnewline
0.85 & 77.459113885764 & 1.92206693505925 \tabularnewline
0.86 & 78.0499360619819 & 2.03371365221969 \tabularnewline
0.87 & 78.7090249163925 & 2.19454910933792 \tabularnewline
0.88 & 79.4592479732947 & 2.41660707121130 \tabularnewline
0.89 & 80.3258326959592 & 2.70385391075476 \tabularnewline
0.9 & 81.330376242911 & 3.03852239711008 \tabularnewline
0.91 & 82.4806623799576 & 3.36692468333002 \tabularnewline
0.92 & 83.7584828094265 & 3.59656211838832 \tabularnewline
0.93 & 85.1122049735161 & 3.61815783172125 \tabularnewline
0.94 & 86.4663979531026 & 3.35601953031086 \tabularnewline
0.95 & 87.7669988438176 & 2.83669625555911 \tabularnewline
0.96 & 89.0830048701469 & 2.27699230849605 \tabularnewline
0.97 & 90.7467489108258 & 2.3124276887267 \tabularnewline
0.98 & 93.327571476884 & 3.9201518235281 \tabularnewline
0.99 & 96.9417481381277 & 7.0430560841818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79354&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]24.0815507565087[/C][C]4.72559944658515[/C][/ROW]
[ROW][C]0.02[/C][C]26.8042179828857[/C][C]3.37282184896911[/C][/ROW]
[ROW][C]0.03[/C][C]29.0401369169511[/C][C]2.51585878375530[/C][/ROW]
[ROW][C]0.04[/C][C]30.6314883979233[/C][C]2.09486926913266[/C][/ROW]
[ROW][C]0.05[/C][C]31.8009555400025[/C][C]1.95052105153086[/C][/ROW]
[ROW][C]0.06[/C][C]32.7550670142791[/C][C]1.97008841957962[/C][/ROW]
[ROW][C]0.07[/C][C]33.6067555278559[/C][C]2.03225812917185[/C][/ROW]
[ROW][C]0.08[/C][C]34.3991203620705[/C][C]2.04452442503831[/C][/ROW]
[ROW][C]0.09[/C][C]35.1376524850020[/C][C]1.97687271974966[/C][/ROW]
[ROW][C]0.1[/C][C]35.8154377913779[/C][C]1.85308429261739[/C][/ROW]
[ROW][C]0.11[/C][C]36.4291074655139[/C][C]1.72274564528756[/C][/ROW]
[ROW][C]0.12[/C][C]36.9848746142731[/C][C]1.63168949454069[/C][/ROW]
[ROW][C]0.13[/C][C]37.4968667851409[/C][C]1.60184823656798[/C][/ROW]
[ROW][C]0.14[/C][C]37.9818716045987[/C][C]1.6267616723171[/C][/ROW]
[ROW][C]0.15[/C][C]38.4542643976921[/C][C]1.68275918932185[/C][/ROW]
[ROW][C]0.16[/C][C]38.9231927437356[/C][C]1.74440725938442[/C][/ROW]
[ROW][C]0.17[/C][C]39.3923268378230[/C][C]1.79441934993370[/C][/ROW]
[ROW][C]0.18[/C][C]39.8613647755676[/C][C]1.82635011596208[/C][/ROW]
[ROW][C]0.19[/C][C]40.3281353909019[/C][C]1.84255675656393[/C][/ROW]
[ROW][C]0.2[/C][C]40.7903597281233[/C][C]1.84992423845022[/C][/ROW]
[ROW][C]0.21[/C][C]41.2466080795609[/C][C]1.85517327180653[/C][/ROW]
[ROW][C]0.22[/C][C]41.6964555812715[/C][C]1.86186701077088[/C][/ROW]
[ROW][C]0.23[/C][C]42.1401315844552[/C][C]1.86995380475901[/C][/ROW]
[ROW][C]0.24[/C][C]42.5780296988835[/C][C]1.87707638633635[/C][/ROW]
[ROW][C]0.25[/C][C]43.0103461873363[/C][C]1.88071568957392[/C][/ROW]
[ROW][C]0.26[/C][C]43.4369441754401[/C][C]1.87949523676251[/C][/ROW]
[ROW][C]0.27[/C][C]43.8573966575484[/C][C]1.87325870878737[/C][/ROW]
[ROW][C]0.28[/C][C]44.2710971071071[/C][C]1.86252251858366[/C][/ROW]
[ROW][C]0.29[/C][C]44.6773441008429[/C][C]1.84741969851023[/C][/ROW]
[ROW][C]0.3[/C][C]45.0753693621483[/C][C]1.82752295058530[/C][/ROW]
[ROW][C]0.31[/C][C]45.4643405777997[/C][C]1.80176988856787[/C][/ROW]
[ROW][C]0.32[/C][C]45.8433989133676[/C][C]1.76924732304669[/C][/ROW]
[ROW][C]0.33[/C][C]46.2117788303723[/C][C]1.73019087602111[/C][/ROW]
[ROW][C]0.34[/C][C]46.5690183718068[/C][C]1.68650528407070[/C][/ROW]
[ROW][C]0.35[/C][C]46.9152247424678[/C][C]1.64216002411580[/C][/ROW]
[ROW][C]0.36[/C][C]47.2513328739737[/C][C]1.60259129020613[/C][/ROW]
[ROW][C]0.37[/C][C]47.5792930228361[/C][C]1.57447484080899[/C][/ROW]
[ROW][C]0.38[/C][C]47.9021445857408[/C][C]1.56431119838890[/C][/ROW]
[ROW][C]0.39[/C][C]48.2239663307995[/C][C]1.57788831309335[/C][/ROW]
[ROW][C]0.4[/C][C]48.5497249227981[/C][C]1.61957934198347[/C][/ROW]
[ROW][C]0.41[/C][C]48.8850635556374[/C][C]1.69212030352713[/C][/ROW]
[ROW][C]0.42[/C][C]49.2360758944456[/C][C]1.79684295775325[/C][/ROW]
[ROW][C]0.43[/C][C]49.6090984621408[/C][C]1.93392897242480[/C][/ROW]
[ROW][C]0.44[/C][C]50.0105325793393[/C][C]2.10311387962377[/C][/ROW]
[ROW][C]0.45[/C][C]50.4466827014364[/C][C]2.30352845105796[/C][/ROW]
[ROW][C]0.46[/C][C]50.9235793492508[/C][C]2.53369606000818[/C][/ROW]
[ROW][C]0.47[/C][C]51.4467481588249[/C][C]2.79083834939196[/C][/ROW]
[ROW][C]0.48[/C][C]52.0208955059834[/C][C]3.07020532686632[/C][/ROW]
[ROW][C]0.49[/C][C]52.6495056058448[/C][C]3.36466753088125[/C][/ROW]
[ROW][C]0.5[/C][C]53.3343795097292[/C][C]3.66413322450437[/C][/ROW]
[ROW][C]0.51[/C][C]54.0751843228128[/C][C]3.95578110026232[/C][/ROW]
[ROW][C]0.52[/C][C]54.8691096299039[/C][C]4.22509637100619[/C][/ROW]
[ROW][C]0.53[/C][C]55.7107358683911[/C][C]4.45703457881334[/C][/ROW]
[ROW][C]0.54[/C][C]56.5921984271245[/C][C]4.63816711110001[/C][/ROW]
[ROW][C]0.55[/C][C]57.5036814248593[/C][C]4.75902802538064[/C][/ROW]
[ROW][C]0.56[/C][C]58.4342058224529[/C][C]4.81501531375565[/C][/ROW]
[ROW][C]0.57[/C][C]59.3726053011485[/C][C]4.80811447425972[/C][/ROW]
[ROW][C]0.58[/C][C]60.3085310056408[/C][C]4.74593617453022[/C][/ROW]
[ROW][C]0.59[/C][C]61.2333098323513[/C][C]4.64087631787996[/C][/ROW]
[ROW][C]0.6[/C][C]62.1405071910074[/C][C]4.50763725893362[/C][/ROW]
[ROW][C]0.61[/C][C]63.0261075060268[/C][C]4.36098521680503[/C][/ROW]
[ROW][C]0.62[/C][C]63.888306316414[/C][C]4.21284149733717[/C][/ROW]
[ROW][C]0.63[/C][C]64.7269841791928[/C][C]4.07106134080545[/C][/ROW]
[ROW][C]0.64[/C][C]65.5429858611183[/C][C]3.93888882980138[/C][/ROW]
[ROW][C]0.65[/C][C]66.3373496816679[/C][C]3.81482689835435[/C][/ROW]
[ROW][C]0.66[/C][C]67.1106239023297[/C][C]3.69438928172741[/C][/ROW]
[ROW][C]0.67[/C][C]67.8623798031824[/C][C]3.57116146889014[/C][/ROW]
[ROW][C]0.68[/C][C]68.5909953513637[/C][C]3.43819588236168[/C][/ROW]
[ROW][C]0.69[/C][C]69.2937450284354[/C][C]3.28987709783615[/C][/ROW]
[ROW][C]0.7[/C][C]69.9671901412215[/C][C]3.12255333219411[/C][/ROW]
[ROW][C]0.71[/C][C]70.6078171104194[/C][C]2.93652101911955[/C][/ROW]
[ROW][C]0.72[/C][C]71.2128201036726[/C][C]2.73589401373963[/C][/ROW]
[ROW][C]0.73[/C][C]71.7808787534625[/C][C]2.52895092148422[/C][/ROW]
[ROW][C]0.74[/C][C]72.3127589356477[/C][C]2.32736550653809[/C][/ROW]
[ROW][C]0.75[/C][C]72.8115825220284[/C][C]2.14377379679546[/C][/ROW]
[ROW][C]0.76[/C][C]73.282678784592[/C][C]1.98979185473965[/C][/ROW]
[ROW][C]0.77[/C][C]73.7330361156037[/C][C]1.87296751496214[/C][/ROW]
[ROW][C]0.78[/C][C]74.1704896415528[/C][C]1.79537575909087[/C][/ROW]
[ROW][C]0.79[/C][C]74.6028692093025[/C][C]1.75308440618720[/C][/ROW]
[ROW][C]0.8[/C][C]75.037358519456[/C][C]1.73858787432104[/C][/ROW]
[ROW][C]0.81[/C][C]75.4802660389427[/C][C]1.74383659394628[/C][/ROW]
[ROW][C]0.82[/C][C]75.9372989161552[/C][C]1.76343765835796[/C][/ROW]
[ROW][C]0.83[/C][C]76.4143071154921[/C][C]1.79636351515849[/C][/ROW]
[ROW][C]0.84[/C][C]76.9183764494668[/C][C]1.84661323708736[/C][/ROW]
[ROW][C]0.85[/C][C]77.459113885764[/C][C]1.92206693505925[/C][/ROW]
[ROW][C]0.86[/C][C]78.0499360619819[/C][C]2.03371365221969[/C][/ROW]
[ROW][C]0.87[/C][C]78.7090249163925[/C][C]2.19454910933792[/C][/ROW]
[ROW][C]0.88[/C][C]79.4592479732947[/C][C]2.41660707121130[/C][/ROW]
[ROW][C]0.89[/C][C]80.3258326959592[/C][C]2.70385391075476[/C][/ROW]
[ROW][C]0.9[/C][C]81.330376242911[/C][C]3.03852239711008[/C][/ROW]
[ROW][C]0.91[/C][C]82.4806623799576[/C][C]3.36692468333002[/C][/ROW]
[ROW][C]0.92[/C][C]83.7584828094265[/C][C]3.59656211838832[/C][/ROW]
[ROW][C]0.93[/C][C]85.1122049735161[/C][C]3.61815783172125[/C][/ROW]
[ROW][C]0.94[/C][C]86.4663979531026[/C][C]3.35601953031086[/C][/ROW]
[ROW][C]0.95[/C][C]87.7669988438176[/C][C]2.83669625555911[/C][/ROW]
[ROW][C]0.96[/C][C]89.0830048701469[/C][C]2.27699230849605[/C][/ROW]
[ROW][C]0.97[/C][C]90.7467489108258[/C][C]2.3124276887267[/C][/ROW]
[ROW][C]0.98[/C][C]93.327571476884[/C][C]3.9201518235281[/C][/ROW]
[ROW][C]0.99[/C][C]96.9417481381277[/C][C]7.0430560841818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79354&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79354&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
0.0124.08155075650874.72559944658515
0.0226.80421798288573.37282184896911
0.0329.04013691695112.51585878375530
0.0430.63148839792332.09486926913266
0.0531.80095554000251.95052105153086
0.0632.75506701427911.97008841957962
0.0733.60675552785592.03225812917185
0.0834.39912036207052.04452442503831
0.0935.13765248500201.97687271974966
0.135.81543779137791.85308429261739
0.1136.42910746551391.72274564528756
0.1236.98487461427311.63168949454069
0.1337.49686678514091.60184823656798
0.1437.98187160459871.6267616723171
0.1538.45426439769211.68275918932185
0.1638.92319274373561.74440725938442
0.1739.39232683782301.79441934993370
0.1839.86136477556761.82635011596208
0.1940.32813539090191.84255675656393
0.240.79035972812331.84992423845022
0.2141.24660807956091.85517327180653
0.2241.69645558127151.86186701077088
0.2342.14013158445521.86995380475901
0.2442.57802969888351.87707638633635
0.2543.01034618733631.88071568957392
0.2643.43694417544011.87949523676251
0.2743.85739665754841.87325870878737
0.2844.27109710710711.86252251858366
0.2944.67734410084291.84741969851023
0.345.07536936214831.82752295058530
0.3145.46434057779971.80176988856787
0.3245.84339891336761.76924732304669
0.3346.21177883037231.73019087602111
0.3446.56901837180681.68650528407070
0.3546.91522474246781.64216002411580
0.3647.25133287397371.60259129020613
0.3747.57929302283611.57447484080899
0.3847.90214458574081.56431119838890
0.3948.22396633079951.57788831309335
0.448.54972492279811.61957934198347
0.4148.88506355563741.69212030352713
0.4249.23607589444561.79684295775325
0.4349.60909846214081.93392897242480
0.4450.01053257933932.10311387962377
0.4550.44668270143642.30352845105796
0.4650.92357934925082.53369606000818
0.4751.44674815882492.79083834939196
0.4852.02089550598343.07020532686632
0.4952.64950560584483.36466753088125
0.553.33437950972923.66413322450437
0.5154.07518432281283.95578110026232
0.5254.86910962990394.22509637100619
0.5355.71073586839114.45703457881334
0.5456.59219842712454.63816711110001
0.5557.50368142485934.75902802538064
0.5658.43420582245294.81501531375565
0.5759.37260530114854.80811447425972
0.5860.30853100564084.74593617453022
0.5961.23330983235134.64087631787996
0.662.14050719100744.50763725893362
0.6163.02610750602684.36098521680503
0.6263.8883063164144.21284149733717
0.6364.72698417919284.07106134080545
0.6465.54298586111833.93888882980138
0.6566.33734968166793.81482689835435
0.6667.11062390232973.69438928172741
0.6767.86237980318243.57116146889014
0.6868.59099535136373.43819588236168
0.6969.29374502843543.28987709783615
0.769.96719014122153.12255333219411
0.7170.60781711041942.93652101911955
0.7271.21282010367262.73589401373963
0.7371.78087875346252.52895092148422
0.7472.31275893564772.32736550653809
0.7572.81158252202842.14377379679546
0.7673.2826787845921.98979185473965
0.7773.73303611560371.87296751496214
0.7874.17048964155281.79537575909087
0.7974.60286920930251.75308440618720
0.875.0373585194561.73858787432104
0.8175.48026603894271.74383659394628
0.8275.93729891615521.76343765835796
0.8376.41430711549211.79636351515849
0.8476.91837644946681.84661323708736
0.8577.4591138857641.92206693505925
0.8678.04993606198192.03371365221969
0.8778.70902491639252.19454910933792
0.8879.45924797329472.41660707121130
0.8980.32583269595922.70385391075476
0.981.3303762429113.03852239711008
0.9182.48066237995763.36692468333002
0.9283.75848280942653.59656211838832
0.9385.11220497351613.61815783172125
0.9486.46639795310263.35601953031086
0.9587.76699884381762.83669625555911
0.9689.08300487014692.27699230849605
0.9790.74674891082582.3124276887267
0.9893.3275714768843.9201518235281
0.9996.94174813812777.0430560841818


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')