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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, 21 Oct 2009 09:57:30 -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/2009/Oct/21/t1256140722ebxyy2y9kmtqoq8.htm/, Retrieved Thu, 02 May 2024 13:00:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49461, Retrieved Thu, 02 May 2024 13:00:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact85

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] [] [2009-10-21 15:57:30] [6fe3b5976049c9b6736c06f51fce3033] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
23.98
24.24
24.92
25.46
25.84
26.08
26.18
26.34
26.42
26.38
26.04
25.58
25.65
25.56
25.62
25.62
25.69
25.68
25.68
25.83
25.93
26.11
24.72
24.62
24.65
25.24
25.56
25.9
25.87
25.78
25.78
25.74
25.78
25.73
24.67
24.31
24.56
25
25.38
25.99
26.22
26.19
26.22
26.22
26.61
26.72
25.46
25.48
25.59
25.88
26
26.97
27.2
27.19
27.19
27.19
27.26
26.9
26.11
25.87
26.02
26.31
26.37
26.52
26.86
26.92
26.98
26.98
27.03
26.75
26.39
26.3
26.3
26.52
26.53
26.98
27.22
27.34
27.41
27.47
27.46
27.53
27.21
26.91
26.95
26.91
27.39
27.62
27.79
27.88
27.9
28.09
28.46
28.73
27.93
27.61
27.65
28.19
28.98
28.99
29.02
29
29.04
29.19
29.23
29.26
29.02
28.47
28.53
28.48
28.68
28.89
29.2
29.21
29.15
29.22
29.34
29.13
28.84
28.76

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49461&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49461&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.13091861367120.199192978485489
0.0224.31785197514480.182906132311378
0.0324.46941396408260.174743990146635
0.0424.59034410633970.166778329094279
0.0524.6969895542670.19017851683782
0.0624.80545175490970.236143235010433
0.0724.92340467956020.276127521993374
0.0825.04753213529080.291145485209433
0.0925.16834831126480.277484569269286
0.125.27654797865460.242940386360013
0.1125.36680026137470.199812609151543
0.1225.43836141664260.158780288338079
0.1325.49371377471060.125923030213176
0.1425.53671283048540.102826792302495
0.1525.57118226117590.0883619591784997
0.1625.60021730271910.0803112069917051
0.1725.62603327310530.0766010157285514
0.1825.65008782877050.0756425356136501
0.1925.67327839007140.0762514629607783
0.225.69612278286150.0776550674515591
0.2125.71890024016960.0794163856906965
0.2225.74175662168310.0813376343704063
0.2325.76478125369050.0834240973339572
0.2425.78805936234950.0858282752199879
0.2525.81170114150690.0886701477561598
0.2625.83584814386260.0921787494099691
0.2725.86065976297060.096343873055811
0.2825.88628590539700.101090370505745
0.2925.91283482129070.106086466204629
0.325.94034588309640.111113510863852
0.3125.9687751858430.115670551278020
0.3225.99799777540510.119495928610460
0.3326.0278256573130.122389477433132
0.3426.05803719406780.124230172581569
0.3526.08841202389940.125140790677881
0.3626.11876609880740.125315560576345
0.3726.14898293203810.125132119035008
0.3826.17903862214490.124995274091634
0.3926.20901903264830.125419993576174
0.426.23912754040350.126935040068948
0.4126.26968130512280.130093497684036
0.4226.30109355034390.135268699080435
0.4326.33383948264320.142608950706029
0.4426.36840482768940.152168105702724
0.4526.40521895366470.163492251819398
0.4626.44457908266490.175750176946624
0.4726.48657723899540.187903165637538
0.4826.53104561333380.198660931741427
0.4926.57753682954330.206687329422672
0.526.62535154826770.210999857077879
0.5126.67361667570330.210954579262903
0.5226.72140487497670.206551678623686
0.5326.76787361815560.198523606583843
0.5426.81239399221910.188074882868531
0.5526.85463941712370.176757320944474
0.5626.89461351020850.166191083308022
0.5726.93261246619550.157682912659174
0.5826.96913557323320.151875114762405
0.5927.00477165616750.148946452414763
0.627.04009422826780.148368115167151
0.6127.07559210752620.149555676690341
0.6227.11164765022790.151861700013192
0.6327.14855749705130.154942382377361
0.6427.18657776902780.158804709109361
0.6527.2259718316240.163596129831651
0.6627.26704449954080.169552008020336
0.6727.31015778041440.176966231692941
0.6827.35573355713010.185878528434735
0.6927.40425272272520.196495704649732
0.727.45625670070630.208953538879551
0.7127.51234859296050.223380787144188
0.7227.57318221754320.240003503822032
0.7327.63942259246560.258705087206044
0.7427.71166388136600.279063620441869
0.7527.79030161741130.300044915526417
0.7627.87537454189460.320078169523691
0.7727.96641371321870.337002291885553
0.7828.062353483880.348481758359507
0.7928.16155731459220.352554179487874
0.828.26198135465970.348215097888035
0.8128.36144462537860.335645104710353
0.8228.45792035943150.316300444770806
0.8328.54974301870300.292275239176289
0.8428.63566302736960.265458656747661
0.8528.71476761231390.23713616873135
0.8628.78637671666040.207942893135414
0.8728.85005562177130.178369214613724
0.8828.90581482971820.149721995652751
0.8928.95440128658120.124305869265676
0.928.99741282323280.104834587767574
0.9129.03694558429220.0927227462716785
0.9229.07473679237990.0859306006113661
0.9329.11122259963280.0794920267885779
0.9429.14525013168070.0689853478120745
0.9529.1749685657890.0539375673464337
0.9629.19972769789130.0382984152623727
0.9729.22239290058320.028774225332193
0.9829.25148705589510.0328632967598428
0.9929.29689205515400.054284317322667

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 24.1309186136712 & 0.199192978485489 \tabularnewline
0.02 & 24.3178519751448 & 0.182906132311378 \tabularnewline
0.03 & 24.4694139640826 & 0.174743990146635 \tabularnewline
0.04 & 24.5903441063397 & 0.166778329094279 \tabularnewline
0.05 & 24.696989554267 & 0.19017851683782 \tabularnewline
0.06 & 24.8054517549097 & 0.236143235010433 \tabularnewline
0.07 & 24.9234046795602 & 0.276127521993374 \tabularnewline
0.08 & 25.0475321352908 & 0.291145485209433 \tabularnewline
0.09 & 25.1683483112648 & 0.277484569269286 \tabularnewline
0.1 & 25.2765479786546 & 0.242940386360013 \tabularnewline
0.11 & 25.3668002613747 & 0.199812609151543 \tabularnewline
0.12 & 25.4383614166426 & 0.158780288338079 \tabularnewline
0.13 & 25.4937137747106 & 0.125923030213176 \tabularnewline
0.14 & 25.5367128304854 & 0.102826792302495 \tabularnewline
0.15 & 25.5711822611759 & 0.0883619591784997 \tabularnewline
0.16 & 25.6002173027191 & 0.0803112069917051 \tabularnewline
0.17 & 25.6260332731053 & 0.0766010157285514 \tabularnewline
0.18 & 25.6500878287705 & 0.0756425356136501 \tabularnewline
0.19 & 25.6732783900714 & 0.0762514629607783 \tabularnewline
0.2 & 25.6961227828615 & 0.0776550674515591 \tabularnewline
0.21 & 25.7189002401696 & 0.0794163856906965 \tabularnewline
0.22 & 25.7417566216831 & 0.0813376343704063 \tabularnewline
0.23 & 25.7647812536905 & 0.0834240973339572 \tabularnewline
0.24 & 25.7880593623495 & 0.0858282752199879 \tabularnewline
0.25 & 25.8117011415069 & 0.0886701477561598 \tabularnewline
0.26 & 25.8358481438626 & 0.0921787494099691 \tabularnewline
0.27 & 25.8606597629706 & 0.096343873055811 \tabularnewline
0.28 & 25.8862859053970 & 0.101090370505745 \tabularnewline
0.29 & 25.9128348212907 & 0.106086466204629 \tabularnewline
0.3 & 25.9403458830964 & 0.111113510863852 \tabularnewline
0.31 & 25.968775185843 & 0.115670551278020 \tabularnewline
0.32 & 25.9979977754051 & 0.119495928610460 \tabularnewline
0.33 & 26.027825657313 & 0.122389477433132 \tabularnewline
0.34 & 26.0580371940678 & 0.124230172581569 \tabularnewline
0.35 & 26.0884120238994 & 0.125140790677881 \tabularnewline
0.36 & 26.1187660988074 & 0.125315560576345 \tabularnewline
0.37 & 26.1489829320381 & 0.125132119035008 \tabularnewline
0.38 & 26.1790386221449 & 0.124995274091634 \tabularnewline
0.39 & 26.2090190326483 & 0.125419993576174 \tabularnewline
0.4 & 26.2391275404035 & 0.126935040068948 \tabularnewline
0.41 & 26.2696813051228 & 0.130093497684036 \tabularnewline
0.42 & 26.3010935503439 & 0.135268699080435 \tabularnewline
0.43 & 26.3338394826432 & 0.142608950706029 \tabularnewline
0.44 & 26.3684048276894 & 0.152168105702724 \tabularnewline
0.45 & 26.4052189536647 & 0.163492251819398 \tabularnewline
0.46 & 26.4445790826649 & 0.175750176946624 \tabularnewline
0.47 & 26.4865772389954 & 0.187903165637538 \tabularnewline
0.48 & 26.5310456133338 & 0.198660931741427 \tabularnewline
0.49 & 26.5775368295433 & 0.206687329422672 \tabularnewline
0.5 & 26.6253515482677 & 0.210999857077879 \tabularnewline
0.51 & 26.6736166757033 & 0.210954579262903 \tabularnewline
0.52 & 26.7214048749767 & 0.206551678623686 \tabularnewline
0.53 & 26.7678736181556 & 0.198523606583843 \tabularnewline
0.54 & 26.8123939922191 & 0.188074882868531 \tabularnewline
0.55 & 26.8546394171237 & 0.176757320944474 \tabularnewline
0.56 & 26.8946135102085 & 0.166191083308022 \tabularnewline
0.57 & 26.9326124661955 & 0.157682912659174 \tabularnewline
0.58 & 26.9691355732332 & 0.151875114762405 \tabularnewline
0.59 & 27.0047716561675 & 0.148946452414763 \tabularnewline
0.6 & 27.0400942282678 & 0.148368115167151 \tabularnewline
0.61 & 27.0755921075262 & 0.149555676690341 \tabularnewline
0.62 & 27.1116476502279 & 0.151861700013192 \tabularnewline
0.63 & 27.1485574970513 & 0.154942382377361 \tabularnewline
0.64 & 27.1865777690278 & 0.158804709109361 \tabularnewline
0.65 & 27.225971831624 & 0.163596129831651 \tabularnewline
0.66 & 27.2670444995408 & 0.169552008020336 \tabularnewline
0.67 & 27.3101577804144 & 0.176966231692941 \tabularnewline
0.68 & 27.3557335571301 & 0.185878528434735 \tabularnewline
0.69 & 27.4042527227252 & 0.196495704649732 \tabularnewline
0.7 & 27.4562567007063 & 0.208953538879551 \tabularnewline
0.71 & 27.5123485929605 & 0.223380787144188 \tabularnewline
0.72 & 27.5731822175432 & 0.240003503822032 \tabularnewline
0.73 & 27.6394225924656 & 0.258705087206044 \tabularnewline
0.74 & 27.7116638813660 & 0.279063620441869 \tabularnewline
0.75 & 27.7903016174113 & 0.300044915526417 \tabularnewline
0.76 & 27.8753745418946 & 0.320078169523691 \tabularnewline
0.77 & 27.9664137132187 & 0.337002291885553 \tabularnewline
0.78 & 28.06235348388 & 0.348481758359507 \tabularnewline
0.79 & 28.1615573145922 & 0.352554179487874 \tabularnewline
0.8 & 28.2619813546597 & 0.348215097888035 \tabularnewline
0.81 & 28.3614446253786 & 0.335645104710353 \tabularnewline
0.82 & 28.4579203594315 & 0.316300444770806 \tabularnewline
0.83 & 28.5497430187030 & 0.292275239176289 \tabularnewline
0.84 & 28.6356630273696 & 0.265458656747661 \tabularnewline
0.85 & 28.7147676123139 & 0.23713616873135 \tabularnewline
0.86 & 28.7863767166604 & 0.207942893135414 \tabularnewline
0.87 & 28.8500556217713 & 0.178369214613724 \tabularnewline
0.88 & 28.9058148297182 & 0.149721995652751 \tabularnewline
0.89 & 28.9544012865812 & 0.124305869265676 \tabularnewline
0.9 & 28.9974128232328 & 0.104834587767574 \tabularnewline
0.91 & 29.0369455842922 & 0.0927227462716785 \tabularnewline
0.92 & 29.0747367923799 & 0.0859306006113661 \tabularnewline
0.93 & 29.1112225996328 & 0.0794920267885779 \tabularnewline
0.94 & 29.1452501316807 & 0.0689853478120745 \tabularnewline
0.95 & 29.174968565789 & 0.0539375673464337 \tabularnewline
0.96 & 29.1997276978913 & 0.0382984152623727 \tabularnewline
0.97 & 29.2223929005832 & 0.028774225332193 \tabularnewline
0.98 & 29.2514870558951 & 0.0328632967598428 \tabularnewline
0.99 & 29.2968920551540 & 0.054284317322667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49461&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]24.1309186136712[/C][C]0.199192978485489[/C][/ROW]
[ROW][C]0.02[/C][C]24.3178519751448[/C][C]0.182906132311378[/C][/ROW]
[ROW][C]0.03[/C][C]24.4694139640826[/C][C]0.174743990146635[/C][/ROW]
[ROW][C]0.04[/C][C]24.5903441063397[/C][C]0.166778329094279[/C][/ROW]
[ROW][C]0.05[/C][C]24.696989554267[/C][C]0.19017851683782[/C][/ROW]
[ROW][C]0.06[/C][C]24.8054517549097[/C][C]0.236143235010433[/C][/ROW]
[ROW][C]0.07[/C][C]24.9234046795602[/C][C]0.276127521993374[/C][/ROW]
[ROW][C]0.08[/C][C]25.0475321352908[/C][C]0.291145485209433[/C][/ROW]
[ROW][C]0.09[/C][C]25.1683483112648[/C][C]0.277484569269286[/C][/ROW]
[ROW][C]0.1[/C][C]25.2765479786546[/C][C]0.242940386360013[/C][/ROW]
[ROW][C]0.11[/C][C]25.3668002613747[/C][C]0.199812609151543[/C][/ROW]
[ROW][C]0.12[/C][C]25.4383614166426[/C][C]0.158780288338079[/C][/ROW]
[ROW][C]0.13[/C][C]25.4937137747106[/C][C]0.125923030213176[/C][/ROW]
[ROW][C]0.14[/C][C]25.5367128304854[/C][C]0.102826792302495[/C][/ROW]
[ROW][C]0.15[/C][C]25.5711822611759[/C][C]0.0883619591784997[/C][/ROW]
[ROW][C]0.16[/C][C]25.6002173027191[/C][C]0.0803112069917051[/C][/ROW]
[ROW][C]0.17[/C][C]25.6260332731053[/C][C]0.0766010157285514[/C][/ROW]
[ROW][C]0.18[/C][C]25.6500878287705[/C][C]0.0756425356136501[/C][/ROW]
[ROW][C]0.19[/C][C]25.6732783900714[/C][C]0.0762514629607783[/C][/ROW]
[ROW][C]0.2[/C][C]25.6961227828615[/C][C]0.0776550674515591[/C][/ROW]
[ROW][C]0.21[/C][C]25.7189002401696[/C][C]0.0794163856906965[/C][/ROW]
[ROW][C]0.22[/C][C]25.7417566216831[/C][C]0.0813376343704063[/C][/ROW]
[ROW][C]0.23[/C][C]25.7647812536905[/C][C]0.0834240973339572[/C][/ROW]
[ROW][C]0.24[/C][C]25.7880593623495[/C][C]0.0858282752199879[/C][/ROW]
[ROW][C]0.25[/C][C]25.8117011415069[/C][C]0.0886701477561598[/C][/ROW]
[ROW][C]0.26[/C][C]25.8358481438626[/C][C]0.0921787494099691[/C][/ROW]
[ROW][C]0.27[/C][C]25.8606597629706[/C][C]0.096343873055811[/C][/ROW]
[ROW][C]0.28[/C][C]25.8862859053970[/C][C]0.101090370505745[/C][/ROW]
[ROW][C]0.29[/C][C]25.9128348212907[/C][C]0.106086466204629[/C][/ROW]
[ROW][C]0.3[/C][C]25.9403458830964[/C][C]0.111113510863852[/C][/ROW]
[ROW][C]0.31[/C][C]25.968775185843[/C][C]0.115670551278020[/C][/ROW]
[ROW][C]0.32[/C][C]25.9979977754051[/C][C]0.119495928610460[/C][/ROW]
[ROW][C]0.33[/C][C]26.027825657313[/C][C]0.122389477433132[/C][/ROW]
[ROW][C]0.34[/C][C]26.0580371940678[/C][C]0.124230172581569[/C][/ROW]
[ROW][C]0.35[/C][C]26.0884120238994[/C][C]0.125140790677881[/C][/ROW]
[ROW][C]0.36[/C][C]26.1187660988074[/C][C]0.125315560576345[/C][/ROW]
[ROW][C]0.37[/C][C]26.1489829320381[/C][C]0.125132119035008[/C][/ROW]
[ROW][C]0.38[/C][C]26.1790386221449[/C][C]0.124995274091634[/C][/ROW]
[ROW][C]0.39[/C][C]26.2090190326483[/C][C]0.125419993576174[/C][/ROW]
[ROW][C]0.4[/C][C]26.2391275404035[/C][C]0.126935040068948[/C][/ROW]
[ROW][C]0.41[/C][C]26.2696813051228[/C][C]0.130093497684036[/C][/ROW]
[ROW][C]0.42[/C][C]26.3010935503439[/C][C]0.135268699080435[/C][/ROW]
[ROW][C]0.43[/C][C]26.3338394826432[/C][C]0.142608950706029[/C][/ROW]
[ROW][C]0.44[/C][C]26.3684048276894[/C][C]0.152168105702724[/C][/ROW]
[ROW][C]0.45[/C][C]26.4052189536647[/C][C]0.163492251819398[/C][/ROW]
[ROW][C]0.46[/C][C]26.4445790826649[/C][C]0.175750176946624[/C][/ROW]
[ROW][C]0.47[/C][C]26.4865772389954[/C][C]0.187903165637538[/C][/ROW]
[ROW][C]0.48[/C][C]26.5310456133338[/C][C]0.198660931741427[/C][/ROW]
[ROW][C]0.49[/C][C]26.5775368295433[/C][C]0.206687329422672[/C][/ROW]
[ROW][C]0.5[/C][C]26.6253515482677[/C][C]0.210999857077879[/C][/ROW]
[ROW][C]0.51[/C][C]26.6736166757033[/C][C]0.210954579262903[/C][/ROW]
[ROW][C]0.52[/C][C]26.7214048749767[/C][C]0.206551678623686[/C][/ROW]
[ROW][C]0.53[/C][C]26.7678736181556[/C][C]0.198523606583843[/C][/ROW]
[ROW][C]0.54[/C][C]26.8123939922191[/C][C]0.188074882868531[/C][/ROW]
[ROW][C]0.55[/C][C]26.8546394171237[/C][C]0.176757320944474[/C][/ROW]
[ROW][C]0.56[/C][C]26.8946135102085[/C][C]0.166191083308022[/C][/ROW]
[ROW][C]0.57[/C][C]26.9326124661955[/C][C]0.157682912659174[/C][/ROW]
[ROW][C]0.58[/C][C]26.9691355732332[/C][C]0.151875114762405[/C][/ROW]
[ROW][C]0.59[/C][C]27.0047716561675[/C][C]0.148946452414763[/C][/ROW]
[ROW][C]0.6[/C][C]27.0400942282678[/C][C]0.148368115167151[/C][/ROW]
[ROW][C]0.61[/C][C]27.0755921075262[/C][C]0.149555676690341[/C][/ROW]
[ROW][C]0.62[/C][C]27.1116476502279[/C][C]0.151861700013192[/C][/ROW]
[ROW][C]0.63[/C][C]27.1485574970513[/C][C]0.154942382377361[/C][/ROW]
[ROW][C]0.64[/C][C]27.1865777690278[/C][C]0.158804709109361[/C][/ROW]
[ROW][C]0.65[/C][C]27.225971831624[/C][C]0.163596129831651[/C][/ROW]
[ROW][C]0.66[/C][C]27.2670444995408[/C][C]0.169552008020336[/C][/ROW]
[ROW][C]0.67[/C][C]27.3101577804144[/C][C]0.176966231692941[/C][/ROW]
[ROW][C]0.68[/C][C]27.3557335571301[/C][C]0.185878528434735[/C][/ROW]
[ROW][C]0.69[/C][C]27.4042527227252[/C][C]0.196495704649732[/C][/ROW]
[ROW][C]0.7[/C][C]27.4562567007063[/C][C]0.208953538879551[/C][/ROW]
[ROW][C]0.71[/C][C]27.5123485929605[/C][C]0.223380787144188[/C][/ROW]
[ROW][C]0.72[/C][C]27.5731822175432[/C][C]0.240003503822032[/C][/ROW]
[ROW][C]0.73[/C][C]27.6394225924656[/C][C]0.258705087206044[/C][/ROW]
[ROW][C]0.74[/C][C]27.7116638813660[/C][C]0.279063620441869[/C][/ROW]
[ROW][C]0.75[/C][C]27.7903016174113[/C][C]0.300044915526417[/C][/ROW]
[ROW][C]0.76[/C][C]27.8753745418946[/C][C]0.320078169523691[/C][/ROW]
[ROW][C]0.77[/C][C]27.9664137132187[/C][C]0.337002291885553[/C][/ROW]
[ROW][C]0.78[/C][C]28.06235348388[/C][C]0.348481758359507[/C][/ROW]
[ROW][C]0.79[/C][C]28.1615573145922[/C][C]0.352554179487874[/C][/ROW]
[ROW][C]0.8[/C][C]28.2619813546597[/C][C]0.348215097888035[/C][/ROW]
[ROW][C]0.81[/C][C]28.3614446253786[/C][C]0.335645104710353[/C][/ROW]
[ROW][C]0.82[/C][C]28.4579203594315[/C][C]0.316300444770806[/C][/ROW]
[ROW][C]0.83[/C][C]28.5497430187030[/C][C]0.292275239176289[/C][/ROW]
[ROW][C]0.84[/C][C]28.6356630273696[/C][C]0.265458656747661[/C][/ROW]
[ROW][C]0.85[/C][C]28.7147676123139[/C][C]0.23713616873135[/C][/ROW]
[ROW][C]0.86[/C][C]28.7863767166604[/C][C]0.207942893135414[/C][/ROW]
[ROW][C]0.87[/C][C]28.8500556217713[/C][C]0.178369214613724[/C][/ROW]
[ROW][C]0.88[/C][C]28.9058148297182[/C][C]0.149721995652751[/C][/ROW]
[ROW][C]0.89[/C][C]28.9544012865812[/C][C]0.124305869265676[/C][/ROW]
[ROW][C]0.9[/C][C]28.9974128232328[/C][C]0.104834587767574[/C][/ROW]
[ROW][C]0.91[/C][C]29.0369455842922[/C][C]0.0927227462716785[/C][/ROW]
[ROW][C]0.92[/C][C]29.0747367923799[/C][C]0.0859306006113661[/C][/ROW]
[ROW][C]0.93[/C][C]29.1112225996328[/C][C]0.0794920267885779[/C][/ROW]
[ROW][C]0.94[/C][C]29.1452501316807[/C][C]0.0689853478120745[/C][/ROW]
[ROW][C]0.95[/C][C]29.174968565789[/C][C]0.0539375673464337[/C][/ROW]
[ROW][C]0.96[/C][C]29.1997276978913[/C][C]0.0382984152623727[/C][/ROW]
[ROW][C]0.97[/C][C]29.2223929005832[/C][C]0.028774225332193[/C][/ROW]
[ROW][C]0.98[/C][C]29.2514870558951[/C][C]0.0328632967598428[/C][/ROW]
[ROW][C]0.99[/C][C]29.2968920551540[/C][C]0.054284317322667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49461&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
0.0124.13091861367120.199192978485489
0.0224.31785197514480.182906132311378
0.0324.46941396408260.174743990146635
0.0424.59034410633970.166778329094279
0.0524.6969895542670.19017851683782
0.0624.80545175490970.236143235010433
0.0724.92340467956020.276127521993374
0.0825.04753213529080.291145485209433
0.0925.16834831126480.277484569269286
0.125.27654797865460.242940386360013
0.1125.36680026137470.199812609151543
0.1225.43836141664260.158780288338079
0.1325.49371377471060.125923030213176
0.1425.53671283048540.102826792302495
0.1525.57118226117590.0883619591784997
0.1625.60021730271910.0803112069917051
0.1725.62603327310530.0766010157285514
0.1825.65008782877050.0756425356136501
0.1925.67327839007140.0762514629607783
0.225.69612278286150.0776550674515591
0.2125.71890024016960.0794163856906965
0.2225.74175662168310.0813376343704063
0.2325.76478125369050.0834240973339572
0.2425.78805936234950.0858282752199879
0.2525.81170114150690.0886701477561598
0.2625.83584814386260.0921787494099691
0.2725.86065976297060.096343873055811
0.2825.88628590539700.101090370505745
0.2925.91283482129070.106086466204629
0.325.94034588309640.111113510863852
0.3125.9687751858430.115670551278020
0.3225.99799777540510.119495928610460
0.3326.0278256573130.122389477433132
0.3426.05803719406780.124230172581569
0.3526.08841202389940.125140790677881
0.3626.11876609880740.125315560576345
0.3726.14898293203810.125132119035008
0.3826.17903862214490.124995274091634
0.3926.20901903264830.125419993576174
0.426.23912754040350.126935040068948
0.4126.26968130512280.130093497684036
0.4226.30109355034390.135268699080435
0.4326.33383948264320.142608950706029
0.4426.36840482768940.152168105702724
0.4526.40521895366470.163492251819398
0.4626.44457908266490.175750176946624
0.4726.48657723899540.187903165637538
0.4826.53104561333380.198660931741427
0.4926.57753682954330.206687329422672
0.526.62535154826770.210999857077879
0.5126.67361667570330.210954579262903
0.5226.72140487497670.206551678623686
0.5326.76787361815560.198523606583843
0.5426.81239399221910.188074882868531
0.5526.85463941712370.176757320944474
0.5626.89461351020850.166191083308022
0.5726.93261246619550.157682912659174
0.5826.96913557323320.151875114762405
0.5927.00477165616750.148946452414763
0.627.04009422826780.148368115167151
0.6127.07559210752620.149555676690341
0.6227.11164765022790.151861700013192
0.6327.14855749705130.154942382377361
0.6427.18657776902780.158804709109361
0.6527.2259718316240.163596129831651
0.6627.26704449954080.169552008020336
0.6727.31015778041440.176966231692941
0.6827.35573355713010.185878528434735
0.6927.40425272272520.196495704649732
0.727.45625670070630.208953538879551
0.7127.51234859296050.223380787144188
0.7227.57318221754320.240003503822032
0.7327.63942259246560.258705087206044
0.7427.71166388136600.279063620441869
0.7527.79030161741130.300044915526417
0.7627.87537454189460.320078169523691
0.7727.96641371321870.337002291885553
0.7828.062353483880.348481758359507
0.7928.16155731459220.352554179487874
0.828.26198135465970.348215097888035
0.8128.36144462537860.335645104710353
0.8228.45792035943150.316300444770806
0.8328.54974301870300.292275239176289
0.8428.63566302736960.265458656747661
0.8528.71476761231390.23713616873135
0.8628.78637671666040.207942893135414
0.8728.85005562177130.178369214613724
0.8828.90581482971820.149721995652751
0.8928.95440128658120.124305869265676
0.928.99741282323280.104834587767574
0.9129.03694558429220.0927227462716785
0.9229.07473679237990.0859306006113661
0.9329.11122259963280.0794920267885779
0.9429.14525013168070.0689853478120745
0.9529.1749685657890.0539375673464337
0.9629.19972769789130.0382984152623727
0.9729.22239290058320.028774225332193
0.9829.25148705589510.0328632967598428
0.9929.29689205515400.054284317322667


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')