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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 computationTue, 11 Oct 2011 10:12:21 -0400
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/Oct/11/t1318342480l6ah0m8xen7nuaw.htm/, Retrieved Sat, 11 May 2024 14:40:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128053, Retrieved Sat, 11 May 2024 14:40:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact75

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] [percentielen eige...] [2011-10-11 14:12:21] [cbc0158ed4ce90347cf58cee0539a6b2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.19
106.2
106.09
106.23
106.23
106.22
106.22
106.61
106.95
107.74
107.8
107.8
107.2
107.56
107.72
108.14
108.16
108.16
108.16
108.1
108.95
110.49
110.72
110.82
110.82
110.75
110.71
110.86
110.84
110.84
110.84
110.92
111.46
112.46
113.04
113.15
113.15
113.21
113.37
113.47
113.71
113.71
113.71
113.8
115.46
117
117.94
118.08
118.08
118.47
118.49
118.45
118.54
118.55
118.55
118.55
119.04
121.37
122
122.14
122.14
122.03
121.91
122.23
121.73
121.83
121.83
122.49
123.02
125.98
126.13
126.39

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128053&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128053&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01106.116363828630.0774893702151616
0.02106.1512495635860.0528659551554239
0.03106.1825224006610.0415082234287445
0.04106.2099073706960.0553991365164893
0.05106.2402011003090.0949590692666722
0.06106.2816207950460.156935989419449
0.07106.34093528110.236009533679336
0.08106.422195954580.323114606571325
0.09106.5261381221460.406774744680569
0.1106.6501880225760.475807944659504
0.11106.7891446729020.522524109937449
0.12106.9363682742160.544107568411325
0.13107.0851276134680.542329468430559
0.14107.2297637541540.522831447919685
0.15107.3664584344630.493204429502154
0.16107.493554464250.462179586371266
0.17107.6114936267910.438195386527588
0.18107.7224916418840.428669290135306
0.19107.8300688708660.439068112667124
0.2107.9385235860650.472387897341751
0.21108.0523966466470.528622139382674
0.22108.1759503085340.604501387692123
0.23108.3126774191780.694736165633406
0.24108.4648677849610.791643544832952
0.25108.6332756788990.886875743793024
0.26108.8169431123290.970660509166278
0.27109.0132273996851.03484424048544
0.28109.2180557414431.07265847885848
0.29109.4263895122141.08060954536358
0.3109.6328382240471.05843686350716
0.31109.8323307050811.00974654821599
0.32110.020738395330.940964217446303
0.33110.1953557648560.860828437565191
0.34110.3551717779580.779329726336296
0.35110.5009054282660.706424365175322
0.36110.6348177475380.651088852420418
0.37110.7603443501160.620416286762699
0.38110.8816122534840.617400749120168
0.39111.0029120016890.641329068156399
0.4111.1281932585590.686835579830476
0.41111.260642249160.747090010735184
0.42111.4023855207330.813898515822158
0.43111.5543482610410.879532903412472
0.44111.7162777988410.93758235712185
0.45111.8869246286850.983179241761594
0.46112.064355420141.0135759338699
0.47112.2463566497361.02842881328174
0.48112.4308757530961.03041310943027
0.49112.6164408796341.02397243328089
0.5112.8025015547951.01613546236898
0.51112.9896408825311.01466626307205
0.52113.1796244188831.02798466036918
0.53113.3752698977651.06269704256178
0.54113.5801436708691.12269113003829
0.55113.7981120405211.2081813628741
0.56114.0327965389681.31511486553029
0.57114.2869993177591.43607386041909
0.58114.5621755148741.5607565718214
0.59114.858031054361.67795949003648
0.6115.1723146948151.77548501055939
0.61115.5008517109481.84290547457322
0.62115.837835163931.87221456656032
0.63116.1763537045121.85869002610754
0.64116.5090986483011.80218721912095
0.65116.8291645315181.70696010288912
0.66117.130841910141.58109632922577
0.67117.4103011240981.43627713511791
0.68117.6660797060411.28616496796414
0.69117.8993097070691.14532896917641
0.7118.1136490765191.02820731600372
0.71118.3149093672190.947945720406093
0.72118.5103994257630.913707271186586
0.73118.7080332382240.928064720148558
0.74118.9152823490940.984828570747103
0.75119.1380891530951.07063235470707
0.76119.3798909670021.16799961678705
0.77119.6409237596141.25822927373518
0.78119.9179631857181.32354745722888
0.79120.204607286771.34979388470602
0.8120.4921099548041.32840153220807
0.81120.7706544279031.25769488022626
0.82121.0308452165171.14351889087057
0.83121.265135094130.997932323312432
0.84121.4689226963950.836705235305527
0.85121.6411641380840.676652696706092
0.86121.7845164763690.532903322755596
0.87121.9052215346510.417928458681779
0.88122.0130754292120.342272835657347
0.89122.1218248044290.317921658689345
0.9122.2500750558190.358704431709747
0.91122.4221719968940.47668802437828
0.92122.6675243882430.678279273687246
0.93123.0158898916010.955406053440995
0.94123.4864529189891.26519056812217
0.95124.0718192375851.51416078734547
0.96124.7247078115511.57449090762791
0.97125.3607044293071.35504108131463
0.98125.8852240858370.903611867994619
0.99126.232563024420.447672034887892

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 106.11636382863 & 0.0774893702151616 \tabularnewline
0.02 & 106.151249563586 & 0.0528659551554239 \tabularnewline
0.03 & 106.182522400661 & 0.0415082234287445 \tabularnewline
0.04 & 106.209907370696 & 0.0553991365164893 \tabularnewline
0.05 & 106.240201100309 & 0.0949590692666722 \tabularnewline
0.06 & 106.281620795046 & 0.156935989419449 \tabularnewline
0.07 & 106.3409352811 & 0.236009533679336 \tabularnewline
0.08 & 106.42219595458 & 0.323114606571325 \tabularnewline
0.09 & 106.526138122146 & 0.406774744680569 \tabularnewline
0.1 & 106.650188022576 & 0.475807944659504 \tabularnewline
0.11 & 106.789144672902 & 0.522524109937449 \tabularnewline
0.12 & 106.936368274216 & 0.544107568411325 \tabularnewline
0.13 & 107.085127613468 & 0.542329468430559 \tabularnewline
0.14 & 107.229763754154 & 0.522831447919685 \tabularnewline
0.15 & 107.366458434463 & 0.493204429502154 \tabularnewline
0.16 & 107.49355446425 & 0.462179586371266 \tabularnewline
0.17 & 107.611493626791 & 0.438195386527588 \tabularnewline
0.18 & 107.722491641884 & 0.428669290135306 \tabularnewline
0.19 & 107.830068870866 & 0.439068112667124 \tabularnewline
0.2 & 107.938523586065 & 0.472387897341751 \tabularnewline
0.21 & 108.052396646647 & 0.528622139382674 \tabularnewline
0.22 & 108.175950308534 & 0.604501387692123 \tabularnewline
0.23 & 108.312677419178 & 0.694736165633406 \tabularnewline
0.24 & 108.464867784961 & 0.791643544832952 \tabularnewline
0.25 & 108.633275678899 & 0.886875743793024 \tabularnewline
0.26 & 108.816943112329 & 0.970660509166278 \tabularnewline
0.27 & 109.013227399685 & 1.03484424048544 \tabularnewline
0.28 & 109.218055741443 & 1.07265847885848 \tabularnewline
0.29 & 109.426389512214 & 1.08060954536358 \tabularnewline
0.3 & 109.632838224047 & 1.05843686350716 \tabularnewline
0.31 & 109.832330705081 & 1.00974654821599 \tabularnewline
0.32 & 110.02073839533 & 0.940964217446303 \tabularnewline
0.33 & 110.195355764856 & 0.860828437565191 \tabularnewline
0.34 & 110.355171777958 & 0.779329726336296 \tabularnewline
0.35 & 110.500905428266 & 0.706424365175322 \tabularnewline
0.36 & 110.634817747538 & 0.651088852420418 \tabularnewline
0.37 & 110.760344350116 & 0.620416286762699 \tabularnewline
0.38 & 110.881612253484 & 0.617400749120168 \tabularnewline
0.39 & 111.002912001689 & 0.641329068156399 \tabularnewline
0.4 & 111.128193258559 & 0.686835579830476 \tabularnewline
0.41 & 111.26064224916 & 0.747090010735184 \tabularnewline
0.42 & 111.402385520733 & 0.813898515822158 \tabularnewline
0.43 & 111.554348261041 & 0.879532903412472 \tabularnewline
0.44 & 111.716277798841 & 0.93758235712185 \tabularnewline
0.45 & 111.886924628685 & 0.983179241761594 \tabularnewline
0.46 & 112.06435542014 & 1.0135759338699 \tabularnewline
0.47 & 112.246356649736 & 1.02842881328174 \tabularnewline
0.48 & 112.430875753096 & 1.03041310943027 \tabularnewline
0.49 & 112.616440879634 & 1.02397243328089 \tabularnewline
0.5 & 112.802501554795 & 1.01613546236898 \tabularnewline
0.51 & 112.989640882531 & 1.01466626307205 \tabularnewline
0.52 & 113.179624418883 & 1.02798466036918 \tabularnewline
0.53 & 113.375269897765 & 1.06269704256178 \tabularnewline
0.54 & 113.580143670869 & 1.12269113003829 \tabularnewline
0.55 & 113.798112040521 & 1.2081813628741 \tabularnewline
0.56 & 114.032796538968 & 1.31511486553029 \tabularnewline
0.57 & 114.286999317759 & 1.43607386041909 \tabularnewline
0.58 & 114.562175514874 & 1.5607565718214 \tabularnewline
0.59 & 114.85803105436 & 1.67795949003648 \tabularnewline
0.6 & 115.172314694815 & 1.77548501055939 \tabularnewline
0.61 & 115.500851710948 & 1.84290547457322 \tabularnewline
0.62 & 115.83783516393 & 1.87221456656032 \tabularnewline
0.63 & 116.176353704512 & 1.85869002610754 \tabularnewline
0.64 & 116.509098648301 & 1.80218721912095 \tabularnewline
0.65 & 116.829164531518 & 1.70696010288912 \tabularnewline
0.66 & 117.13084191014 & 1.58109632922577 \tabularnewline
0.67 & 117.410301124098 & 1.43627713511791 \tabularnewline
0.68 & 117.666079706041 & 1.28616496796414 \tabularnewline
0.69 & 117.899309707069 & 1.14532896917641 \tabularnewline
0.7 & 118.113649076519 & 1.02820731600372 \tabularnewline
0.71 & 118.314909367219 & 0.947945720406093 \tabularnewline
0.72 & 118.510399425763 & 0.913707271186586 \tabularnewline
0.73 & 118.708033238224 & 0.928064720148558 \tabularnewline
0.74 & 118.915282349094 & 0.984828570747103 \tabularnewline
0.75 & 119.138089153095 & 1.07063235470707 \tabularnewline
0.76 & 119.379890967002 & 1.16799961678705 \tabularnewline
0.77 & 119.640923759614 & 1.25822927373518 \tabularnewline
0.78 & 119.917963185718 & 1.32354745722888 \tabularnewline
0.79 & 120.20460728677 & 1.34979388470602 \tabularnewline
0.8 & 120.492109954804 & 1.32840153220807 \tabularnewline
0.81 & 120.770654427903 & 1.25769488022626 \tabularnewline
0.82 & 121.030845216517 & 1.14351889087057 \tabularnewline
0.83 & 121.26513509413 & 0.997932323312432 \tabularnewline
0.84 & 121.468922696395 & 0.836705235305527 \tabularnewline
0.85 & 121.641164138084 & 0.676652696706092 \tabularnewline
0.86 & 121.784516476369 & 0.532903322755596 \tabularnewline
0.87 & 121.905221534651 & 0.417928458681779 \tabularnewline
0.88 & 122.013075429212 & 0.342272835657347 \tabularnewline
0.89 & 122.121824804429 & 0.317921658689345 \tabularnewline
0.9 & 122.250075055819 & 0.358704431709747 \tabularnewline
0.91 & 122.422171996894 & 0.47668802437828 \tabularnewline
0.92 & 122.667524388243 & 0.678279273687246 \tabularnewline
0.93 & 123.015889891601 & 0.955406053440995 \tabularnewline
0.94 & 123.486452918989 & 1.26519056812217 \tabularnewline
0.95 & 124.071819237585 & 1.51416078734547 \tabularnewline
0.96 & 124.724707811551 & 1.57449090762791 \tabularnewline
0.97 & 125.360704429307 & 1.35504108131463 \tabularnewline
0.98 & 125.885224085837 & 0.903611867994619 \tabularnewline
0.99 & 126.23256302442 & 0.447672034887892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128053&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]106.11636382863[/C][C]0.0774893702151616[/C][/ROW]
[ROW][C]0.02[/C][C]106.151249563586[/C][C]0.0528659551554239[/C][/ROW]
[ROW][C]0.03[/C][C]106.182522400661[/C][C]0.0415082234287445[/C][/ROW]
[ROW][C]0.04[/C][C]106.209907370696[/C][C]0.0553991365164893[/C][/ROW]
[ROW][C]0.05[/C][C]106.240201100309[/C][C]0.0949590692666722[/C][/ROW]
[ROW][C]0.06[/C][C]106.281620795046[/C][C]0.156935989419449[/C][/ROW]
[ROW][C]0.07[/C][C]106.3409352811[/C][C]0.236009533679336[/C][/ROW]
[ROW][C]0.08[/C][C]106.42219595458[/C][C]0.323114606571325[/C][/ROW]
[ROW][C]0.09[/C][C]106.526138122146[/C][C]0.406774744680569[/C][/ROW]
[ROW][C]0.1[/C][C]106.650188022576[/C][C]0.475807944659504[/C][/ROW]
[ROW][C]0.11[/C][C]106.789144672902[/C][C]0.522524109937449[/C][/ROW]
[ROW][C]0.12[/C][C]106.936368274216[/C][C]0.544107568411325[/C][/ROW]
[ROW][C]0.13[/C][C]107.085127613468[/C][C]0.542329468430559[/C][/ROW]
[ROW][C]0.14[/C][C]107.229763754154[/C][C]0.522831447919685[/C][/ROW]
[ROW][C]0.15[/C][C]107.366458434463[/C][C]0.493204429502154[/C][/ROW]
[ROW][C]0.16[/C][C]107.49355446425[/C][C]0.462179586371266[/C][/ROW]
[ROW][C]0.17[/C][C]107.611493626791[/C][C]0.438195386527588[/C][/ROW]
[ROW][C]0.18[/C][C]107.722491641884[/C][C]0.428669290135306[/C][/ROW]
[ROW][C]0.19[/C][C]107.830068870866[/C][C]0.439068112667124[/C][/ROW]
[ROW][C]0.2[/C][C]107.938523586065[/C][C]0.472387897341751[/C][/ROW]
[ROW][C]0.21[/C][C]108.052396646647[/C][C]0.528622139382674[/C][/ROW]
[ROW][C]0.22[/C][C]108.175950308534[/C][C]0.604501387692123[/C][/ROW]
[ROW][C]0.23[/C][C]108.312677419178[/C][C]0.694736165633406[/C][/ROW]
[ROW][C]0.24[/C][C]108.464867784961[/C][C]0.791643544832952[/C][/ROW]
[ROW][C]0.25[/C][C]108.633275678899[/C][C]0.886875743793024[/C][/ROW]
[ROW][C]0.26[/C][C]108.816943112329[/C][C]0.970660509166278[/C][/ROW]
[ROW][C]0.27[/C][C]109.013227399685[/C][C]1.03484424048544[/C][/ROW]
[ROW][C]0.28[/C][C]109.218055741443[/C][C]1.07265847885848[/C][/ROW]
[ROW][C]0.29[/C][C]109.426389512214[/C][C]1.08060954536358[/C][/ROW]
[ROW][C]0.3[/C][C]109.632838224047[/C][C]1.05843686350716[/C][/ROW]
[ROW][C]0.31[/C][C]109.832330705081[/C][C]1.00974654821599[/C][/ROW]
[ROW][C]0.32[/C][C]110.02073839533[/C][C]0.940964217446303[/C][/ROW]
[ROW][C]0.33[/C][C]110.195355764856[/C][C]0.860828437565191[/C][/ROW]
[ROW][C]0.34[/C][C]110.355171777958[/C][C]0.779329726336296[/C][/ROW]
[ROW][C]0.35[/C][C]110.500905428266[/C][C]0.706424365175322[/C][/ROW]
[ROW][C]0.36[/C][C]110.634817747538[/C][C]0.651088852420418[/C][/ROW]
[ROW][C]0.37[/C][C]110.760344350116[/C][C]0.620416286762699[/C][/ROW]
[ROW][C]0.38[/C][C]110.881612253484[/C][C]0.617400749120168[/C][/ROW]
[ROW][C]0.39[/C][C]111.002912001689[/C][C]0.641329068156399[/C][/ROW]
[ROW][C]0.4[/C][C]111.128193258559[/C][C]0.686835579830476[/C][/ROW]
[ROW][C]0.41[/C][C]111.26064224916[/C][C]0.747090010735184[/C][/ROW]
[ROW][C]0.42[/C][C]111.402385520733[/C][C]0.813898515822158[/C][/ROW]
[ROW][C]0.43[/C][C]111.554348261041[/C][C]0.879532903412472[/C][/ROW]
[ROW][C]0.44[/C][C]111.716277798841[/C][C]0.93758235712185[/C][/ROW]
[ROW][C]0.45[/C][C]111.886924628685[/C][C]0.983179241761594[/C][/ROW]
[ROW][C]0.46[/C][C]112.06435542014[/C][C]1.0135759338699[/C][/ROW]
[ROW][C]0.47[/C][C]112.246356649736[/C][C]1.02842881328174[/C][/ROW]
[ROW][C]0.48[/C][C]112.430875753096[/C][C]1.03041310943027[/C][/ROW]
[ROW][C]0.49[/C][C]112.616440879634[/C][C]1.02397243328089[/C][/ROW]
[ROW][C]0.5[/C][C]112.802501554795[/C][C]1.01613546236898[/C][/ROW]
[ROW][C]0.51[/C][C]112.989640882531[/C][C]1.01466626307205[/C][/ROW]
[ROW][C]0.52[/C][C]113.179624418883[/C][C]1.02798466036918[/C][/ROW]
[ROW][C]0.53[/C][C]113.375269897765[/C][C]1.06269704256178[/C][/ROW]
[ROW][C]0.54[/C][C]113.580143670869[/C][C]1.12269113003829[/C][/ROW]
[ROW][C]0.55[/C][C]113.798112040521[/C][C]1.2081813628741[/C][/ROW]
[ROW][C]0.56[/C][C]114.032796538968[/C][C]1.31511486553029[/C][/ROW]
[ROW][C]0.57[/C][C]114.286999317759[/C][C]1.43607386041909[/C][/ROW]
[ROW][C]0.58[/C][C]114.562175514874[/C][C]1.5607565718214[/C][/ROW]
[ROW][C]0.59[/C][C]114.85803105436[/C][C]1.67795949003648[/C][/ROW]
[ROW][C]0.6[/C][C]115.172314694815[/C][C]1.77548501055939[/C][/ROW]
[ROW][C]0.61[/C][C]115.500851710948[/C][C]1.84290547457322[/C][/ROW]
[ROW][C]0.62[/C][C]115.83783516393[/C][C]1.87221456656032[/C][/ROW]
[ROW][C]0.63[/C][C]116.176353704512[/C][C]1.85869002610754[/C][/ROW]
[ROW][C]0.64[/C][C]116.509098648301[/C][C]1.80218721912095[/C][/ROW]
[ROW][C]0.65[/C][C]116.829164531518[/C][C]1.70696010288912[/C][/ROW]
[ROW][C]0.66[/C][C]117.13084191014[/C][C]1.58109632922577[/C][/ROW]
[ROW][C]0.67[/C][C]117.410301124098[/C][C]1.43627713511791[/C][/ROW]
[ROW][C]0.68[/C][C]117.666079706041[/C][C]1.28616496796414[/C][/ROW]
[ROW][C]0.69[/C][C]117.899309707069[/C][C]1.14532896917641[/C][/ROW]
[ROW][C]0.7[/C][C]118.113649076519[/C][C]1.02820731600372[/C][/ROW]
[ROW][C]0.71[/C][C]118.314909367219[/C][C]0.947945720406093[/C][/ROW]
[ROW][C]0.72[/C][C]118.510399425763[/C][C]0.913707271186586[/C][/ROW]
[ROW][C]0.73[/C][C]118.708033238224[/C][C]0.928064720148558[/C][/ROW]
[ROW][C]0.74[/C][C]118.915282349094[/C][C]0.984828570747103[/C][/ROW]
[ROW][C]0.75[/C][C]119.138089153095[/C][C]1.07063235470707[/C][/ROW]
[ROW][C]0.76[/C][C]119.379890967002[/C][C]1.16799961678705[/C][/ROW]
[ROW][C]0.77[/C][C]119.640923759614[/C][C]1.25822927373518[/C][/ROW]
[ROW][C]0.78[/C][C]119.917963185718[/C][C]1.32354745722888[/C][/ROW]
[ROW][C]0.79[/C][C]120.20460728677[/C][C]1.34979388470602[/C][/ROW]
[ROW][C]0.8[/C][C]120.492109954804[/C][C]1.32840153220807[/C][/ROW]
[ROW][C]0.81[/C][C]120.770654427903[/C][C]1.25769488022626[/C][/ROW]
[ROW][C]0.82[/C][C]121.030845216517[/C][C]1.14351889087057[/C][/ROW]
[ROW][C]0.83[/C][C]121.26513509413[/C][C]0.997932323312432[/C][/ROW]
[ROW][C]0.84[/C][C]121.468922696395[/C][C]0.836705235305527[/C][/ROW]
[ROW][C]0.85[/C][C]121.641164138084[/C][C]0.676652696706092[/C][/ROW]
[ROW][C]0.86[/C][C]121.784516476369[/C][C]0.532903322755596[/C][/ROW]
[ROW][C]0.87[/C][C]121.905221534651[/C][C]0.417928458681779[/C][/ROW]
[ROW][C]0.88[/C][C]122.013075429212[/C][C]0.342272835657347[/C][/ROW]
[ROW][C]0.89[/C][C]122.121824804429[/C][C]0.317921658689345[/C][/ROW]
[ROW][C]0.9[/C][C]122.250075055819[/C][C]0.358704431709747[/C][/ROW]
[ROW][C]0.91[/C][C]122.422171996894[/C][C]0.47668802437828[/C][/ROW]
[ROW][C]0.92[/C][C]122.667524388243[/C][C]0.678279273687246[/C][/ROW]
[ROW][C]0.93[/C][C]123.015889891601[/C][C]0.955406053440995[/C][/ROW]
[ROW][C]0.94[/C][C]123.486452918989[/C][C]1.26519056812217[/C][/ROW]
[ROW][C]0.95[/C][C]124.071819237585[/C][C]1.51416078734547[/C][/ROW]
[ROW][C]0.96[/C][C]124.724707811551[/C][C]1.57449090762791[/C][/ROW]
[ROW][C]0.97[/C][C]125.360704429307[/C][C]1.35504108131463[/C][/ROW]
[ROW][C]0.98[/C][C]125.885224085837[/C][C]0.903611867994619[/C][/ROW]
[ROW][C]0.99[/C][C]126.23256302442[/C][C]0.447672034887892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128053&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
0.01106.116363828630.0774893702151616
0.02106.1512495635860.0528659551554239
0.03106.1825224006610.0415082234287445
0.04106.2099073706960.0553991365164893
0.05106.2402011003090.0949590692666722
0.06106.2816207950460.156935989419449
0.07106.34093528110.236009533679336
0.08106.422195954580.323114606571325
0.09106.5261381221460.406774744680569
0.1106.6501880225760.475807944659504
0.11106.7891446729020.522524109937449
0.12106.9363682742160.544107568411325
0.13107.0851276134680.542329468430559
0.14107.2297637541540.522831447919685
0.15107.3664584344630.493204429502154
0.16107.493554464250.462179586371266
0.17107.6114936267910.438195386527588
0.18107.7224916418840.428669290135306
0.19107.8300688708660.439068112667124
0.2107.9385235860650.472387897341751
0.21108.0523966466470.528622139382674
0.22108.1759503085340.604501387692123
0.23108.3126774191780.694736165633406
0.24108.4648677849610.791643544832952
0.25108.6332756788990.886875743793024
0.26108.8169431123290.970660509166278
0.27109.0132273996851.03484424048544
0.28109.2180557414431.07265847885848
0.29109.4263895122141.08060954536358
0.3109.6328382240471.05843686350716
0.31109.8323307050811.00974654821599
0.32110.020738395330.940964217446303
0.33110.1953557648560.860828437565191
0.34110.3551717779580.779329726336296
0.35110.5009054282660.706424365175322
0.36110.6348177475380.651088852420418
0.37110.7603443501160.620416286762699
0.38110.8816122534840.617400749120168
0.39111.0029120016890.641329068156399
0.4111.1281932585590.686835579830476
0.41111.260642249160.747090010735184
0.42111.4023855207330.813898515822158
0.43111.5543482610410.879532903412472
0.44111.7162777988410.93758235712185
0.45111.8869246286850.983179241761594
0.46112.064355420141.0135759338699
0.47112.2463566497361.02842881328174
0.48112.4308757530961.03041310943027
0.49112.6164408796341.02397243328089
0.5112.8025015547951.01613546236898
0.51112.9896408825311.01466626307205
0.52113.1796244188831.02798466036918
0.53113.3752698977651.06269704256178
0.54113.5801436708691.12269113003829
0.55113.7981120405211.2081813628741
0.56114.0327965389681.31511486553029
0.57114.2869993177591.43607386041909
0.58114.5621755148741.5607565718214
0.59114.858031054361.67795949003648
0.6115.1723146948151.77548501055939
0.61115.5008517109481.84290547457322
0.62115.837835163931.87221456656032
0.63116.1763537045121.85869002610754
0.64116.5090986483011.80218721912095
0.65116.8291645315181.70696010288912
0.66117.130841910141.58109632922577
0.67117.4103011240981.43627713511791
0.68117.6660797060411.28616496796414
0.69117.8993097070691.14532896917641
0.7118.1136490765191.02820731600372
0.71118.3149093672190.947945720406093
0.72118.5103994257630.913707271186586
0.73118.7080332382240.928064720148558
0.74118.9152823490940.984828570747103
0.75119.1380891530951.07063235470707
0.76119.3798909670021.16799961678705
0.77119.6409237596141.25822927373518
0.78119.9179631857181.32354745722888
0.79120.204607286771.34979388470602
0.8120.4921099548041.32840153220807
0.81120.7706544279031.25769488022626
0.82121.0308452165171.14351889087057
0.83121.265135094130.997932323312432
0.84121.4689226963950.836705235305527
0.85121.6411641380840.676652696706092
0.86121.7845164763690.532903322755596
0.87121.9052215346510.417928458681779
0.88122.0130754292120.342272835657347
0.89122.1218248044290.317921658689345
0.9122.2500750558190.358704431709747
0.91122.4221719968940.47668802437828
0.92122.6675243882430.678279273687246
0.93123.0158898916010.955406053440995
0.94123.4864529189891.26519056812217
0.95124.0718192375851.51416078734547
0.96124.7247078115511.57449090762791
0.97125.3607044293071.35504108131463
0.98125.8852240858370.903611867994619
0.99126.232563024420.447672034887892


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')