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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 computationWed, 13 Aug 2008 02:44:14 -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/2008/Aug/13/t1218617160nxamd7nzd10yx9q.htm/, Retrieved Tue, 14 May 2024 14:19:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14023, Retrieved Tue, 14 May 2024 14:19:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact269

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] [Raf Mattheussen H...] [2008-08-13 08:44:14] [3b0a90e6bea50e83b08189298324fe13] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16,8
16,91
16,91
17,16
17,02
17,23
17,22
17,29
17,3
17,22
17,19
17,23
17,36
17,39
17,29
17,28
17,4
17,51
17,54
17,64
17,65
17,5
17,37
17,56
17,49
17,61
17,79
17,83
17,56
17,95
18,09
18,38
18,38
18,44
18,84
19,01
19,06
19,06
18,97
18,98
19,41
19,55
19,64
19,71
19,48
19,48
19,41
19,25
19,14
19,21
19,3
19,53
19,14
19,16
19,24
19,38
19,27
19,27
19,07
19,15
19,24
19,36
19,57
19,59
19,36
19,46
19,65
19,46
19,51
19,64
19,64
19,69
19,28
19,67
19,65
19,6
19,53
19,64
19,67
19,81
19,73
19,87
19,97
20,12
19,94
20,31
20,13
20,22
20,38
20,44
20,34
20,14
19,97
19,82
19,98
20,12

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=14023&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=14023&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14023&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
0.0116.84616957330790.0856236097839947
0.0216.91192259873250.0875612861896878
0.0316.97916710383770.109413825804851
0.0417.04436548556360.116347819436568
0.0517.10310918004470.103296576239934
0.0617.15089228484190.0813844393157131
0.0717.18686323595680.0618222829895885
0.0817.21349180330770.0501200695997947
0.0917.23437275319730.0464082947168037
0.117.25260744613790.0481003498279036
0.1117.27026548187050.0526486881535394
0.1217.28850489603930.0586046288860164
0.1317.30788463330530.0652835808262851
0.1417.32862445569500.0721773190052038
0.1517.35075588338540.0789991165155141
0.1617.37419957587570.0853406585546374
0.1717.39882208040820.0911073130321416
0.1817.42450545941400.0965160421557352
0.1917.45123585083610.102209995001713
0.217.47919671932450.109333943709838
0.2117.50884362851580.119327884379609
0.2217.54093831051920.133724336087892
0.2317.57652742572190.153814510726237
0.2417.61686240236180.180275930951197
0.2517.6632681185420.212925078914432
0.2617.71697752148940.250888795773791
0.2717.77895511051270.292473091128784
0.2817.84973414432190.335391176814426
0.2917.92929083943180.376865415317399
0.318.01697437837170.413924510880139
0.3118.11150490125270.443797050653989
0.3218.21104339323650.46408113650539
0.3318.31332814843130.47310152618215
0.3418.41586318896300.470176116023435
0.3518.51613591202290.455620635467393
0.3618.61183586901640.430753892818663
0.3718.70104542818150.397701270922822
0.3818.78237702093290.359112900323358
0.3918.85504049625700.317915680007998
0.418.91883623870080.276841147565123
0.4118.9740824983670.238135348665345
0.4219.02149585166980.203554220769871
0.4319.06204948155370.173964763841956
0.4419.09683402146110.149751347207663
0.4519.12694065518290.130624060728707
0.4619.15337791026120.116039382296583
0.4719.17702460786830.105269866901721
0.4819.19861399102710.097473587618605
0.4919.2187395784510.0921187250397556
0.519.23787216491900.0886274216800792
0.5119.25637906194790.0866029825389355
0.5219.27454001226960.0857203016332184
0.5319.29255792338340.0855759954775121
0.5419.31056555951480.0858744737419417
0.5519.32863096031080.0862944273591626
0.5619.34676449042050.086568945996055
0.5719.36492938419420.0864636614230215
0.5819.38305601638110.0858520959242576
0.5919.40105852949180.0847513680658619
0.619.41885136449840.0831812858985004
0.6119.43636291201450.0812410183762015
0.6219.45354391951560.079136969245795
0.6319.47036928075690.076943558198471
0.6419.48683315052480.0748098130172261
0.6519.5029387284480.0727547482082246
0.6619.51868532257130.0707121050990198
0.6719.53405622801740.068595044964088
0.6819.54901131961320.0662792158381725
0.6919.5634878528090.063609737550064
0.719.57741167786980.0605287273236816
0.7119.59071898032280.0571088812287014
0.7219.6033861186350.053529244325619
0.7319.61546272340360.0501542366930429
0.7419.62710159591710.0474696608274117
0.7519.63857855388160.0460451369480916
0.7619.65029629669490.0465399539154916
0.7719.66276830981540.0493191903533503
0.7819.67658137363410.0545443467228109
0.7919.69233817095490.0620142822915454
0.819.71058497231940.0712289854773269
0.8119.73173375029750.081414457937945
0.8219.75599309369380.0915728867590575
0.8319.78332619992210.100652504275827
0.8419.81345331528240.107736844197574
0.8519.84590595409690.112265357034874
0.8619.88012019635340.114118660148981
0.8719.91553456181660.113656725383882
0.8819.95165338887940.111457174032669
0.8919.98806821808570.107934817370980
0.920.02449018088910.103212740271708
0.9120.06087940738550.0975926100471783
0.9220.09767865847080.0923435379578399
0.9320.13595167338660.0897511238157383
0.9420.17706495095080.0909732450840914
0.9520.22177175778120.0930582507457929
0.9620.26930957908740.0898921083103597
0.9720.31776608112820.0780075761948777
0.9820.36570420275560.0624230530546095
0.9920.41055149866040.05542125992506

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.8461695733079 & 0.0856236097839947 \tabularnewline
0.02 & 16.9119225987325 & 0.0875612861896878 \tabularnewline
0.03 & 16.9791671038377 & 0.109413825804851 \tabularnewline
0.04 & 17.0443654855636 & 0.116347819436568 \tabularnewline
0.05 & 17.1031091800447 & 0.103296576239934 \tabularnewline
0.06 & 17.1508922848419 & 0.0813844393157131 \tabularnewline
0.07 & 17.1868632359568 & 0.0618222829895885 \tabularnewline
0.08 & 17.2134918033077 & 0.0501200695997947 \tabularnewline
0.09 & 17.2343727531973 & 0.0464082947168037 \tabularnewline
0.1 & 17.2526074461379 & 0.0481003498279036 \tabularnewline
0.11 & 17.2702654818705 & 0.0526486881535394 \tabularnewline
0.12 & 17.2885048960393 & 0.0586046288860164 \tabularnewline
0.13 & 17.3078846333053 & 0.0652835808262851 \tabularnewline
0.14 & 17.3286244556950 & 0.0721773190052038 \tabularnewline
0.15 & 17.3507558833854 & 0.0789991165155141 \tabularnewline
0.16 & 17.3741995758757 & 0.0853406585546374 \tabularnewline
0.17 & 17.3988220804082 & 0.0911073130321416 \tabularnewline
0.18 & 17.4245054594140 & 0.0965160421557352 \tabularnewline
0.19 & 17.4512358508361 & 0.102209995001713 \tabularnewline
0.2 & 17.4791967193245 & 0.109333943709838 \tabularnewline
0.21 & 17.5088436285158 & 0.119327884379609 \tabularnewline
0.22 & 17.5409383105192 & 0.133724336087892 \tabularnewline
0.23 & 17.5765274257219 & 0.153814510726237 \tabularnewline
0.24 & 17.6168624023618 & 0.180275930951197 \tabularnewline
0.25 & 17.663268118542 & 0.212925078914432 \tabularnewline
0.26 & 17.7169775214894 & 0.250888795773791 \tabularnewline
0.27 & 17.7789551105127 & 0.292473091128784 \tabularnewline
0.28 & 17.8497341443219 & 0.335391176814426 \tabularnewline
0.29 & 17.9292908394318 & 0.376865415317399 \tabularnewline
0.3 & 18.0169743783717 & 0.413924510880139 \tabularnewline
0.31 & 18.1115049012527 & 0.443797050653989 \tabularnewline
0.32 & 18.2110433932365 & 0.46408113650539 \tabularnewline
0.33 & 18.3133281484313 & 0.47310152618215 \tabularnewline
0.34 & 18.4158631889630 & 0.470176116023435 \tabularnewline
0.35 & 18.5161359120229 & 0.455620635467393 \tabularnewline
0.36 & 18.6118358690164 & 0.430753892818663 \tabularnewline
0.37 & 18.7010454281815 & 0.397701270922822 \tabularnewline
0.38 & 18.7823770209329 & 0.359112900323358 \tabularnewline
0.39 & 18.8550404962570 & 0.317915680007998 \tabularnewline
0.4 & 18.9188362387008 & 0.276841147565123 \tabularnewline
0.41 & 18.974082498367 & 0.238135348665345 \tabularnewline
0.42 & 19.0214958516698 & 0.203554220769871 \tabularnewline
0.43 & 19.0620494815537 & 0.173964763841956 \tabularnewline
0.44 & 19.0968340214611 & 0.149751347207663 \tabularnewline
0.45 & 19.1269406551829 & 0.130624060728707 \tabularnewline
0.46 & 19.1533779102612 & 0.116039382296583 \tabularnewline
0.47 & 19.1770246078683 & 0.105269866901721 \tabularnewline
0.48 & 19.1986139910271 & 0.097473587618605 \tabularnewline
0.49 & 19.218739578451 & 0.0921187250397556 \tabularnewline
0.5 & 19.2378721649190 & 0.0886274216800792 \tabularnewline
0.51 & 19.2563790619479 & 0.0866029825389355 \tabularnewline
0.52 & 19.2745400122696 & 0.0857203016332184 \tabularnewline
0.53 & 19.2925579233834 & 0.0855759954775121 \tabularnewline
0.54 & 19.3105655595148 & 0.0858744737419417 \tabularnewline
0.55 & 19.3286309603108 & 0.0862944273591626 \tabularnewline
0.56 & 19.3467644904205 & 0.086568945996055 \tabularnewline
0.57 & 19.3649293841942 & 0.0864636614230215 \tabularnewline
0.58 & 19.3830560163811 & 0.0858520959242576 \tabularnewline
0.59 & 19.4010585294918 & 0.0847513680658619 \tabularnewline
0.6 & 19.4188513644984 & 0.0831812858985004 \tabularnewline
0.61 & 19.4363629120145 & 0.0812410183762015 \tabularnewline
0.62 & 19.4535439195156 & 0.079136969245795 \tabularnewline
0.63 & 19.4703692807569 & 0.076943558198471 \tabularnewline
0.64 & 19.4868331505248 & 0.0748098130172261 \tabularnewline
0.65 & 19.502938728448 & 0.0727547482082246 \tabularnewline
0.66 & 19.5186853225713 & 0.0707121050990198 \tabularnewline
0.67 & 19.5340562280174 & 0.068595044964088 \tabularnewline
0.68 & 19.5490113196132 & 0.0662792158381725 \tabularnewline
0.69 & 19.563487852809 & 0.063609737550064 \tabularnewline
0.7 & 19.5774116778698 & 0.0605287273236816 \tabularnewline
0.71 & 19.5907189803228 & 0.0571088812287014 \tabularnewline
0.72 & 19.603386118635 & 0.053529244325619 \tabularnewline
0.73 & 19.6154627234036 & 0.0501542366930429 \tabularnewline
0.74 & 19.6271015959171 & 0.0474696608274117 \tabularnewline
0.75 & 19.6385785538816 & 0.0460451369480916 \tabularnewline
0.76 & 19.6502962966949 & 0.0465399539154916 \tabularnewline
0.77 & 19.6627683098154 & 0.0493191903533503 \tabularnewline
0.78 & 19.6765813736341 & 0.0545443467228109 \tabularnewline
0.79 & 19.6923381709549 & 0.0620142822915454 \tabularnewline
0.8 & 19.7105849723194 & 0.0712289854773269 \tabularnewline
0.81 & 19.7317337502975 & 0.081414457937945 \tabularnewline
0.82 & 19.7559930936938 & 0.0915728867590575 \tabularnewline
0.83 & 19.7833261999221 & 0.100652504275827 \tabularnewline
0.84 & 19.8134533152824 & 0.107736844197574 \tabularnewline
0.85 & 19.8459059540969 & 0.112265357034874 \tabularnewline
0.86 & 19.8801201963534 & 0.114118660148981 \tabularnewline
0.87 & 19.9155345618166 & 0.113656725383882 \tabularnewline
0.88 & 19.9516533888794 & 0.111457174032669 \tabularnewline
0.89 & 19.9880682180857 & 0.107934817370980 \tabularnewline
0.9 & 20.0244901808891 & 0.103212740271708 \tabularnewline
0.91 & 20.0608794073855 & 0.0975926100471783 \tabularnewline
0.92 & 20.0976786584708 & 0.0923435379578399 \tabularnewline
0.93 & 20.1359516733866 & 0.0897511238157383 \tabularnewline
0.94 & 20.1770649509508 & 0.0909732450840914 \tabularnewline
0.95 & 20.2217717577812 & 0.0930582507457929 \tabularnewline
0.96 & 20.2693095790874 & 0.0898921083103597 \tabularnewline
0.97 & 20.3177660811282 & 0.0780075761948777 \tabularnewline
0.98 & 20.3657042027556 & 0.0624230530546095 \tabularnewline
0.99 & 20.4105514986604 & 0.05542125992506 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14023&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]16.8461695733079[/C][C]0.0856236097839947[/C][/ROW]
[ROW][C]0.02[/C][C]16.9119225987325[/C][C]0.0875612861896878[/C][/ROW]
[ROW][C]0.03[/C][C]16.9791671038377[/C][C]0.109413825804851[/C][/ROW]
[ROW][C]0.04[/C][C]17.0443654855636[/C][C]0.116347819436568[/C][/ROW]
[ROW][C]0.05[/C][C]17.1031091800447[/C][C]0.103296576239934[/C][/ROW]
[ROW][C]0.06[/C][C]17.1508922848419[/C][C]0.0813844393157131[/C][/ROW]
[ROW][C]0.07[/C][C]17.1868632359568[/C][C]0.0618222829895885[/C][/ROW]
[ROW][C]0.08[/C][C]17.2134918033077[/C][C]0.0501200695997947[/C][/ROW]
[ROW][C]0.09[/C][C]17.2343727531973[/C][C]0.0464082947168037[/C][/ROW]
[ROW][C]0.1[/C][C]17.2526074461379[/C][C]0.0481003498279036[/C][/ROW]
[ROW][C]0.11[/C][C]17.2702654818705[/C][C]0.0526486881535394[/C][/ROW]
[ROW][C]0.12[/C][C]17.2885048960393[/C][C]0.0586046288860164[/C][/ROW]
[ROW][C]0.13[/C][C]17.3078846333053[/C][C]0.0652835808262851[/C][/ROW]
[ROW][C]0.14[/C][C]17.3286244556950[/C][C]0.0721773190052038[/C][/ROW]
[ROW][C]0.15[/C][C]17.3507558833854[/C][C]0.0789991165155141[/C][/ROW]
[ROW][C]0.16[/C][C]17.3741995758757[/C][C]0.0853406585546374[/C][/ROW]
[ROW][C]0.17[/C][C]17.3988220804082[/C][C]0.0911073130321416[/C][/ROW]
[ROW][C]0.18[/C][C]17.4245054594140[/C][C]0.0965160421557352[/C][/ROW]
[ROW][C]0.19[/C][C]17.4512358508361[/C][C]0.102209995001713[/C][/ROW]
[ROW][C]0.2[/C][C]17.4791967193245[/C][C]0.109333943709838[/C][/ROW]
[ROW][C]0.21[/C][C]17.5088436285158[/C][C]0.119327884379609[/C][/ROW]
[ROW][C]0.22[/C][C]17.5409383105192[/C][C]0.133724336087892[/C][/ROW]
[ROW][C]0.23[/C][C]17.5765274257219[/C][C]0.153814510726237[/C][/ROW]
[ROW][C]0.24[/C][C]17.6168624023618[/C][C]0.180275930951197[/C][/ROW]
[ROW][C]0.25[/C][C]17.663268118542[/C][C]0.212925078914432[/C][/ROW]
[ROW][C]0.26[/C][C]17.7169775214894[/C][C]0.250888795773791[/C][/ROW]
[ROW][C]0.27[/C][C]17.7789551105127[/C][C]0.292473091128784[/C][/ROW]
[ROW][C]0.28[/C][C]17.8497341443219[/C][C]0.335391176814426[/C][/ROW]
[ROW][C]0.29[/C][C]17.9292908394318[/C][C]0.376865415317399[/C][/ROW]
[ROW][C]0.3[/C][C]18.0169743783717[/C][C]0.413924510880139[/C][/ROW]
[ROW][C]0.31[/C][C]18.1115049012527[/C][C]0.443797050653989[/C][/ROW]
[ROW][C]0.32[/C][C]18.2110433932365[/C][C]0.46408113650539[/C][/ROW]
[ROW][C]0.33[/C][C]18.3133281484313[/C][C]0.47310152618215[/C][/ROW]
[ROW][C]0.34[/C][C]18.4158631889630[/C][C]0.470176116023435[/C][/ROW]
[ROW][C]0.35[/C][C]18.5161359120229[/C][C]0.455620635467393[/C][/ROW]
[ROW][C]0.36[/C][C]18.6118358690164[/C][C]0.430753892818663[/C][/ROW]
[ROW][C]0.37[/C][C]18.7010454281815[/C][C]0.397701270922822[/C][/ROW]
[ROW][C]0.38[/C][C]18.7823770209329[/C][C]0.359112900323358[/C][/ROW]
[ROW][C]0.39[/C][C]18.8550404962570[/C][C]0.317915680007998[/C][/ROW]
[ROW][C]0.4[/C][C]18.9188362387008[/C][C]0.276841147565123[/C][/ROW]
[ROW][C]0.41[/C][C]18.974082498367[/C][C]0.238135348665345[/C][/ROW]
[ROW][C]0.42[/C][C]19.0214958516698[/C][C]0.203554220769871[/C][/ROW]
[ROW][C]0.43[/C][C]19.0620494815537[/C][C]0.173964763841956[/C][/ROW]
[ROW][C]0.44[/C][C]19.0968340214611[/C][C]0.149751347207663[/C][/ROW]
[ROW][C]0.45[/C][C]19.1269406551829[/C][C]0.130624060728707[/C][/ROW]
[ROW][C]0.46[/C][C]19.1533779102612[/C][C]0.116039382296583[/C][/ROW]
[ROW][C]0.47[/C][C]19.1770246078683[/C][C]0.105269866901721[/C][/ROW]
[ROW][C]0.48[/C][C]19.1986139910271[/C][C]0.097473587618605[/C][/ROW]
[ROW][C]0.49[/C][C]19.218739578451[/C][C]0.0921187250397556[/C][/ROW]
[ROW][C]0.5[/C][C]19.2378721649190[/C][C]0.0886274216800792[/C][/ROW]
[ROW][C]0.51[/C][C]19.2563790619479[/C][C]0.0866029825389355[/C][/ROW]
[ROW][C]0.52[/C][C]19.2745400122696[/C][C]0.0857203016332184[/C][/ROW]
[ROW][C]0.53[/C][C]19.2925579233834[/C][C]0.0855759954775121[/C][/ROW]
[ROW][C]0.54[/C][C]19.3105655595148[/C][C]0.0858744737419417[/C][/ROW]
[ROW][C]0.55[/C][C]19.3286309603108[/C][C]0.0862944273591626[/C][/ROW]
[ROW][C]0.56[/C][C]19.3467644904205[/C][C]0.086568945996055[/C][/ROW]
[ROW][C]0.57[/C][C]19.3649293841942[/C][C]0.0864636614230215[/C][/ROW]
[ROW][C]0.58[/C][C]19.3830560163811[/C][C]0.0858520959242576[/C][/ROW]
[ROW][C]0.59[/C][C]19.4010585294918[/C][C]0.0847513680658619[/C][/ROW]
[ROW][C]0.6[/C][C]19.4188513644984[/C][C]0.0831812858985004[/C][/ROW]
[ROW][C]0.61[/C][C]19.4363629120145[/C][C]0.0812410183762015[/C][/ROW]
[ROW][C]0.62[/C][C]19.4535439195156[/C][C]0.079136969245795[/C][/ROW]
[ROW][C]0.63[/C][C]19.4703692807569[/C][C]0.076943558198471[/C][/ROW]
[ROW][C]0.64[/C][C]19.4868331505248[/C][C]0.0748098130172261[/C][/ROW]
[ROW][C]0.65[/C][C]19.502938728448[/C][C]0.0727547482082246[/C][/ROW]
[ROW][C]0.66[/C][C]19.5186853225713[/C][C]0.0707121050990198[/C][/ROW]
[ROW][C]0.67[/C][C]19.5340562280174[/C][C]0.068595044964088[/C][/ROW]
[ROW][C]0.68[/C][C]19.5490113196132[/C][C]0.0662792158381725[/C][/ROW]
[ROW][C]0.69[/C][C]19.563487852809[/C][C]0.063609737550064[/C][/ROW]
[ROW][C]0.7[/C][C]19.5774116778698[/C][C]0.0605287273236816[/C][/ROW]
[ROW][C]0.71[/C][C]19.5907189803228[/C][C]0.0571088812287014[/C][/ROW]
[ROW][C]0.72[/C][C]19.603386118635[/C][C]0.053529244325619[/C][/ROW]
[ROW][C]0.73[/C][C]19.6154627234036[/C][C]0.0501542366930429[/C][/ROW]
[ROW][C]0.74[/C][C]19.6271015959171[/C][C]0.0474696608274117[/C][/ROW]
[ROW][C]0.75[/C][C]19.6385785538816[/C][C]0.0460451369480916[/C][/ROW]
[ROW][C]0.76[/C][C]19.6502962966949[/C][C]0.0465399539154916[/C][/ROW]
[ROW][C]0.77[/C][C]19.6627683098154[/C][C]0.0493191903533503[/C][/ROW]
[ROW][C]0.78[/C][C]19.6765813736341[/C][C]0.0545443467228109[/C][/ROW]
[ROW][C]0.79[/C][C]19.6923381709549[/C][C]0.0620142822915454[/C][/ROW]
[ROW][C]0.8[/C][C]19.7105849723194[/C][C]0.0712289854773269[/C][/ROW]
[ROW][C]0.81[/C][C]19.7317337502975[/C][C]0.081414457937945[/C][/ROW]
[ROW][C]0.82[/C][C]19.7559930936938[/C][C]0.0915728867590575[/C][/ROW]
[ROW][C]0.83[/C][C]19.7833261999221[/C][C]0.100652504275827[/C][/ROW]
[ROW][C]0.84[/C][C]19.8134533152824[/C][C]0.107736844197574[/C][/ROW]
[ROW][C]0.85[/C][C]19.8459059540969[/C][C]0.112265357034874[/C][/ROW]
[ROW][C]0.86[/C][C]19.8801201963534[/C][C]0.114118660148981[/C][/ROW]
[ROW][C]0.87[/C][C]19.9155345618166[/C][C]0.113656725383882[/C][/ROW]
[ROW][C]0.88[/C][C]19.9516533888794[/C][C]0.111457174032669[/C][/ROW]
[ROW][C]0.89[/C][C]19.9880682180857[/C][C]0.107934817370980[/C][/ROW]
[ROW][C]0.9[/C][C]20.0244901808891[/C][C]0.103212740271708[/C][/ROW]
[ROW][C]0.91[/C][C]20.0608794073855[/C][C]0.0975926100471783[/C][/ROW]
[ROW][C]0.92[/C][C]20.0976786584708[/C][C]0.0923435379578399[/C][/ROW]
[ROW][C]0.93[/C][C]20.1359516733866[/C][C]0.0897511238157383[/C][/ROW]
[ROW][C]0.94[/C][C]20.1770649509508[/C][C]0.0909732450840914[/C][/ROW]
[ROW][C]0.95[/C][C]20.2217717577812[/C][C]0.0930582507457929[/C][/ROW]
[ROW][C]0.96[/C][C]20.2693095790874[/C][C]0.0898921083103597[/C][/ROW]
[ROW][C]0.97[/C][C]20.3177660811282[/C][C]0.0780075761948777[/C][/ROW]
[ROW][C]0.98[/C][C]20.3657042027556[/C][C]0.0624230530546095[/C][/ROW]
[ROW][C]0.99[/C][C]20.4105514986604[/C][C]0.05542125992506[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14023&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14023&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
0.0116.84616957330790.0856236097839947
0.0216.91192259873250.0875612861896878
0.0316.97916710383770.109413825804851
0.0417.04436548556360.116347819436568
0.0517.10310918004470.103296576239934
0.0617.15089228484190.0813844393157131
0.0717.18686323595680.0618222829895885
0.0817.21349180330770.0501200695997947
0.0917.23437275319730.0464082947168037
0.117.25260744613790.0481003498279036
0.1117.27026548187050.0526486881535394
0.1217.28850489603930.0586046288860164
0.1317.30788463330530.0652835808262851
0.1417.32862445569500.0721773190052038
0.1517.35075588338540.0789991165155141
0.1617.37419957587570.0853406585546374
0.1717.39882208040820.0911073130321416
0.1817.42450545941400.0965160421557352
0.1917.45123585083610.102209995001713
0.217.47919671932450.109333943709838
0.2117.50884362851580.119327884379609
0.2217.54093831051920.133724336087892
0.2317.57652742572190.153814510726237
0.2417.61686240236180.180275930951197
0.2517.6632681185420.212925078914432
0.2617.71697752148940.250888795773791
0.2717.77895511051270.292473091128784
0.2817.84973414432190.335391176814426
0.2917.92929083943180.376865415317399
0.318.01697437837170.413924510880139
0.3118.11150490125270.443797050653989
0.3218.21104339323650.46408113650539
0.3318.31332814843130.47310152618215
0.3418.41586318896300.470176116023435
0.3518.51613591202290.455620635467393
0.3618.61183586901640.430753892818663
0.3718.70104542818150.397701270922822
0.3818.78237702093290.359112900323358
0.3918.85504049625700.317915680007998
0.418.91883623870080.276841147565123
0.4118.9740824983670.238135348665345
0.4219.02149585166980.203554220769871
0.4319.06204948155370.173964763841956
0.4419.09683402146110.149751347207663
0.4519.12694065518290.130624060728707
0.4619.15337791026120.116039382296583
0.4719.17702460786830.105269866901721
0.4819.19861399102710.097473587618605
0.4919.2187395784510.0921187250397556
0.519.23787216491900.0886274216800792
0.5119.25637906194790.0866029825389355
0.5219.27454001226960.0857203016332184
0.5319.29255792338340.0855759954775121
0.5419.31056555951480.0858744737419417
0.5519.32863096031080.0862944273591626
0.5619.34676449042050.086568945996055
0.5719.36492938419420.0864636614230215
0.5819.38305601638110.0858520959242576
0.5919.40105852949180.0847513680658619
0.619.41885136449840.0831812858985004
0.6119.43636291201450.0812410183762015
0.6219.45354391951560.079136969245795
0.6319.47036928075690.076943558198471
0.6419.48683315052480.0748098130172261
0.6519.5029387284480.0727547482082246
0.6619.51868532257130.0707121050990198
0.6719.53405622801740.068595044964088
0.6819.54901131961320.0662792158381725
0.6919.5634878528090.063609737550064
0.719.57741167786980.0605287273236816
0.7119.59071898032280.0571088812287014
0.7219.6033861186350.053529244325619
0.7319.61546272340360.0501542366930429
0.7419.62710159591710.0474696608274117
0.7519.63857855388160.0460451369480916
0.7619.65029629669490.0465399539154916
0.7719.66276830981540.0493191903533503
0.7819.67658137363410.0545443467228109
0.7919.69233817095490.0620142822915454
0.819.71058497231940.0712289854773269
0.8119.73173375029750.081414457937945
0.8219.75599309369380.0915728867590575
0.8319.78332619992210.100652504275827
0.8419.81345331528240.107736844197574
0.8519.84590595409690.112265357034874
0.8619.88012019635340.114118660148981
0.8719.91553456181660.113656725383882
0.8819.95165338887940.111457174032669
0.8919.98806821808570.107934817370980
0.920.02449018088910.103212740271708
0.9120.06087940738550.0975926100471783
0.9220.09767865847080.0923435379578399
0.9320.13595167338660.0897511238157383
0.9420.17706495095080.0909732450840914
0.9520.22177175778120.0930582507457929
0.9620.26930957908740.0898921083103597
0.9720.31776608112820.0780075761948777
0.9820.36570420275560.0624230530546095
0.9920.41055149866040.05542125992506


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')