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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, 29 May 2012 04:07:03 -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/2012/May/29/t1338279260agkwlxxjvykolrk.htm/, Retrieved Mon, 29 Apr 2024 19:28:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167941, Retrieved Mon, 29 Apr 2024 19:28:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Opgave 2 stap 2] [2012-05-29 06:48:13] [46972ec2bfa5b295f8450f947ab1f239]
- RMPD    [Harrell-Davis Quantiles] [Opgave 4 Oefening...] [2012-05-29 08:07:03] [7d6606cca1b3596736d7d387043cb02b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26.73
26.85
27.01
27.09
27.11
27.16
27.13
27.19
27.49
27.63
27.72
27.77
27.81
27.92
28.07
28.14
28.17
28.2
28.21
28.2
28.19
28.24
28.25
28.26
28.33
28.67
28.81
28.99
29.16
29.25
29.25
29.38
29.48
29.65
29.69
29.73
29.81
30.05
30.29
30.37
30.5
30.67
30.76
30.84
30.86
31.09
31.2
31.19
31.18
31.31
31.39
31.39
31.37
31.36
31.37
31.35
31.34
31.47
31.48
31.54

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167941&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167941&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0126.76485248283710.122389416142624
0.0226.82061747836990.129185505506101
0.0326.88396425797650.13080506348226
0.0426.94497365746130.124022677672247
0.0526.99914536999230.113218347517456
0.0627.0461089407940.105756617849561
0.0727.08786134448160.107762184530797
0.0827.12737703507120.121296192440443
0.0927.16763296381670.144264215015241
0.127.21097973622560.172529666862747
0.1127.25881622068040.201835948342769
0.1227.31152548264870.228483784776366
0.1327.36861151122540.249701347986234
0.1427.42896083867920.264031000136404
0.1527.49114937649290.271265953521181
0.1627.55372430575250.272215049886108
0.1727.61541196000510.268362588669404
0.1827.6752302057230.261288120620959
0.1927.73251060286970.252350137963004
0.227.78685502983040.242428155994182
0.2127.83805998841290.231878736086892
0.2227.88603980124870.220740852435712
0.2327.93077062673790.208874515943317
0.2427.97226507110860.196234597831958
0.2528.01057611836990.183022220886022
0.2628.04582158837190.169712965263029
0.2728.07821712114010.15707951356932
0.2828.10810616915450.146116403166141
0.2928.13597833079540.138022976012965
0.328.16247114100270.133984453851155
0.3128.18835402937360.135121129527286
0.3228.21449593959030.142105020762351
0.3328.24181992417880.155156293116464
0.3428.27124904324540.173872362775723
0.3528.30364837870220.197448104249813
0.3628.33976815465290.224869569201285
0.3728.38019292619120.254829239987556
0.3828.42530152307010.285938745298842
0.3928.47524179495650.316765202708519
0.428.52992309614790.345840142842896
0.4128.58902785630510.371875784550217
0.4228.65204163224420.393795851643326
0.4328.71829897598790.410893024281034
0.4428.7870406149150.422806093342915
0.4528.8574761453910.429597057974259
0.4628.92884592731210.431721373828355
0.4729.00047621821110.429878959991904
0.4829.07182271392860.425081389355296
0.4929.14249933156220.418409492115716
0.529.21229095594710.411013720673897
0.5129.2811506443280.403932263580723
0.5229.34918318822050.398090979958559
0.5329.41661783366070.39414308424553
0.5429.48377336523870.392536522061531
0.5529.55101877990940.393457853323707
0.5629.6187325821130.396776951478053
0.5729.68726347849190.402190932731052
0.5829.75689502784920.409094007762024
0.5929.8278166068290.416772259730012
0.629.90010279954710.424421658531423
0.6129.97370288705150.431182381340557
0.6230.04844139846330.436206253459298
0.6330.12402966571170.438855918876947
0.6430.20008708380540.438654900271591
0.6530.27616951177050.435297149701077
0.6630.35180121697120.428801013011514
0.6730.42650623028440.419336973021097
0.6830.49983512969610.407248174520535
0.6930.57138415373440.392953499756911
0.730.64080503720940.37696108181292
0.7130.70780576709820.359699345532117
0.7230.77214417352870.341497059780778
0.7330.83361748543620.322591432186761
0.7430.89205138507370.303106112576776
0.7530.94729159529340.283105112018948
0.7630.99919980069290.262646401000559
0.7731.04765414880130.241782669532357
0.7831.09255322804960.220700072757298
0.7931.13382173473420.199579951157297
0.831.17141622782290.178657198219055
0.8131.20533027885570.158182444018494
0.8231.2355994923340.138397945625394
0.8331.26230771914970.119524099332777
0.8431.28559588257030.101756896024904
0.8531.30567411270730.0853103956060278
0.8631.32283662948320.070469640201872
0.8731.33747740506170.0575287421632744
0.8831.35010313359970.0468695575232621
0.8931.36133798913340.0389039965524199
0.931.3719116692220.0340777988133527
0.9131.38261961004550.0326900987578795
0.9231.39424696959270.0344801875405414
0.9331.40746378593280.0383862102460792
0.9431.42272925292420.0426557333087725
0.9531.44026408623930.0454502193533688
0.9631.46009680673360.0457388075445488
0.9731.48200269186510.0447139374214917
0.9831.50495456269810.0461453239459767
0.9931.52601303228130.0522160622848842

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 26.7648524828371 & 0.122389416142624 \tabularnewline
0.02 & 26.8206174783699 & 0.129185505506101 \tabularnewline
0.03 & 26.8839642579765 & 0.13080506348226 \tabularnewline
0.04 & 26.9449736574613 & 0.124022677672247 \tabularnewline
0.05 & 26.9991453699923 & 0.113218347517456 \tabularnewline
0.06 & 27.046108940794 & 0.105756617849561 \tabularnewline
0.07 & 27.0878613444816 & 0.107762184530797 \tabularnewline
0.08 & 27.1273770350712 & 0.121296192440443 \tabularnewline
0.09 & 27.1676329638167 & 0.144264215015241 \tabularnewline
0.1 & 27.2109797362256 & 0.172529666862747 \tabularnewline
0.11 & 27.2588162206804 & 0.201835948342769 \tabularnewline
0.12 & 27.3115254826487 & 0.228483784776366 \tabularnewline
0.13 & 27.3686115112254 & 0.249701347986234 \tabularnewline
0.14 & 27.4289608386792 & 0.264031000136404 \tabularnewline
0.15 & 27.4911493764929 & 0.271265953521181 \tabularnewline
0.16 & 27.5537243057525 & 0.272215049886108 \tabularnewline
0.17 & 27.6154119600051 & 0.268362588669404 \tabularnewline
0.18 & 27.675230205723 & 0.261288120620959 \tabularnewline
0.19 & 27.7325106028697 & 0.252350137963004 \tabularnewline
0.2 & 27.7868550298304 & 0.242428155994182 \tabularnewline
0.21 & 27.8380599884129 & 0.231878736086892 \tabularnewline
0.22 & 27.8860398012487 & 0.220740852435712 \tabularnewline
0.23 & 27.9307706267379 & 0.208874515943317 \tabularnewline
0.24 & 27.9722650711086 & 0.196234597831958 \tabularnewline
0.25 & 28.0105761183699 & 0.183022220886022 \tabularnewline
0.26 & 28.0458215883719 & 0.169712965263029 \tabularnewline
0.27 & 28.0782171211401 & 0.15707951356932 \tabularnewline
0.28 & 28.1081061691545 & 0.146116403166141 \tabularnewline
0.29 & 28.1359783307954 & 0.138022976012965 \tabularnewline
0.3 & 28.1624711410027 & 0.133984453851155 \tabularnewline
0.31 & 28.1883540293736 & 0.135121129527286 \tabularnewline
0.32 & 28.2144959395903 & 0.142105020762351 \tabularnewline
0.33 & 28.2418199241788 & 0.155156293116464 \tabularnewline
0.34 & 28.2712490432454 & 0.173872362775723 \tabularnewline
0.35 & 28.3036483787022 & 0.197448104249813 \tabularnewline
0.36 & 28.3397681546529 & 0.224869569201285 \tabularnewline
0.37 & 28.3801929261912 & 0.254829239987556 \tabularnewline
0.38 & 28.4253015230701 & 0.285938745298842 \tabularnewline
0.39 & 28.4752417949565 & 0.316765202708519 \tabularnewline
0.4 & 28.5299230961479 & 0.345840142842896 \tabularnewline
0.41 & 28.5890278563051 & 0.371875784550217 \tabularnewline
0.42 & 28.6520416322442 & 0.393795851643326 \tabularnewline
0.43 & 28.7182989759879 & 0.410893024281034 \tabularnewline
0.44 & 28.787040614915 & 0.422806093342915 \tabularnewline
0.45 & 28.857476145391 & 0.429597057974259 \tabularnewline
0.46 & 28.9288459273121 & 0.431721373828355 \tabularnewline
0.47 & 29.0004762182111 & 0.429878959991904 \tabularnewline
0.48 & 29.0718227139286 & 0.425081389355296 \tabularnewline
0.49 & 29.1424993315622 & 0.418409492115716 \tabularnewline
0.5 & 29.2122909559471 & 0.411013720673897 \tabularnewline
0.51 & 29.281150644328 & 0.403932263580723 \tabularnewline
0.52 & 29.3491831882205 & 0.398090979958559 \tabularnewline
0.53 & 29.4166178336607 & 0.39414308424553 \tabularnewline
0.54 & 29.4837733652387 & 0.392536522061531 \tabularnewline
0.55 & 29.5510187799094 & 0.393457853323707 \tabularnewline
0.56 & 29.618732582113 & 0.396776951478053 \tabularnewline
0.57 & 29.6872634784919 & 0.402190932731052 \tabularnewline
0.58 & 29.7568950278492 & 0.409094007762024 \tabularnewline
0.59 & 29.827816606829 & 0.416772259730012 \tabularnewline
0.6 & 29.9001027995471 & 0.424421658531423 \tabularnewline
0.61 & 29.9737028870515 & 0.431182381340557 \tabularnewline
0.62 & 30.0484413984633 & 0.436206253459298 \tabularnewline
0.63 & 30.1240296657117 & 0.438855918876947 \tabularnewline
0.64 & 30.2000870838054 & 0.438654900271591 \tabularnewline
0.65 & 30.2761695117705 & 0.435297149701077 \tabularnewline
0.66 & 30.3518012169712 & 0.428801013011514 \tabularnewline
0.67 & 30.4265062302844 & 0.419336973021097 \tabularnewline
0.68 & 30.4998351296961 & 0.407248174520535 \tabularnewline
0.69 & 30.5713841537344 & 0.392953499756911 \tabularnewline
0.7 & 30.6408050372094 & 0.37696108181292 \tabularnewline
0.71 & 30.7078057670982 & 0.359699345532117 \tabularnewline
0.72 & 30.7721441735287 & 0.341497059780778 \tabularnewline
0.73 & 30.8336174854362 & 0.322591432186761 \tabularnewline
0.74 & 30.8920513850737 & 0.303106112576776 \tabularnewline
0.75 & 30.9472915952934 & 0.283105112018948 \tabularnewline
0.76 & 30.9991998006929 & 0.262646401000559 \tabularnewline
0.77 & 31.0476541488013 & 0.241782669532357 \tabularnewline
0.78 & 31.0925532280496 & 0.220700072757298 \tabularnewline
0.79 & 31.1338217347342 & 0.199579951157297 \tabularnewline
0.8 & 31.1714162278229 & 0.178657198219055 \tabularnewline
0.81 & 31.2053302788557 & 0.158182444018494 \tabularnewline
0.82 & 31.235599492334 & 0.138397945625394 \tabularnewline
0.83 & 31.2623077191497 & 0.119524099332777 \tabularnewline
0.84 & 31.2855958825703 & 0.101756896024904 \tabularnewline
0.85 & 31.3056741127073 & 0.0853103956060278 \tabularnewline
0.86 & 31.3228366294832 & 0.070469640201872 \tabularnewline
0.87 & 31.3374774050617 & 0.0575287421632744 \tabularnewline
0.88 & 31.3501031335997 & 0.0468695575232621 \tabularnewline
0.89 & 31.3613379891334 & 0.0389039965524199 \tabularnewline
0.9 & 31.371911669222 & 0.0340777988133527 \tabularnewline
0.91 & 31.3826196100455 & 0.0326900987578795 \tabularnewline
0.92 & 31.3942469695927 & 0.0344801875405414 \tabularnewline
0.93 & 31.4074637859328 & 0.0383862102460792 \tabularnewline
0.94 & 31.4227292529242 & 0.0426557333087725 \tabularnewline
0.95 & 31.4402640862393 & 0.0454502193533688 \tabularnewline
0.96 & 31.4600968067336 & 0.0457388075445488 \tabularnewline
0.97 & 31.4820026918651 & 0.0447139374214917 \tabularnewline
0.98 & 31.5049545626981 & 0.0461453239459767 \tabularnewline
0.99 & 31.5260130322813 & 0.0522160622848842 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167941&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]26.7648524828371[/C][C]0.122389416142624[/C][/ROW]
[ROW][C]0.02[/C][C]26.8206174783699[/C][C]0.129185505506101[/C][/ROW]
[ROW][C]0.03[/C][C]26.8839642579765[/C][C]0.13080506348226[/C][/ROW]
[ROW][C]0.04[/C][C]26.9449736574613[/C][C]0.124022677672247[/C][/ROW]
[ROW][C]0.05[/C][C]26.9991453699923[/C][C]0.113218347517456[/C][/ROW]
[ROW][C]0.06[/C][C]27.046108940794[/C][C]0.105756617849561[/C][/ROW]
[ROW][C]0.07[/C][C]27.0878613444816[/C][C]0.107762184530797[/C][/ROW]
[ROW][C]0.08[/C][C]27.1273770350712[/C][C]0.121296192440443[/C][/ROW]
[ROW][C]0.09[/C][C]27.1676329638167[/C][C]0.144264215015241[/C][/ROW]
[ROW][C]0.1[/C][C]27.2109797362256[/C][C]0.172529666862747[/C][/ROW]
[ROW][C]0.11[/C][C]27.2588162206804[/C][C]0.201835948342769[/C][/ROW]
[ROW][C]0.12[/C][C]27.3115254826487[/C][C]0.228483784776366[/C][/ROW]
[ROW][C]0.13[/C][C]27.3686115112254[/C][C]0.249701347986234[/C][/ROW]
[ROW][C]0.14[/C][C]27.4289608386792[/C][C]0.264031000136404[/C][/ROW]
[ROW][C]0.15[/C][C]27.4911493764929[/C][C]0.271265953521181[/C][/ROW]
[ROW][C]0.16[/C][C]27.5537243057525[/C][C]0.272215049886108[/C][/ROW]
[ROW][C]0.17[/C][C]27.6154119600051[/C][C]0.268362588669404[/C][/ROW]
[ROW][C]0.18[/C][C]27.675230205723[/C][C]0.261288120620959[/C][/ROW]
[ROW][C]0.19[/C][C]27.7325106028697[/C][C]0.252350137963004[/C][/ROW]
[ROW][C]0.2[/C][C]27.7868550298304[/C][C]0.242428155994182[/C][/ROW]
[ROW][C]0.21[/C][C]27.8380599884129[/C][C]0.231878736086892[/C][/ROW]
[ROW][C]0.22[/C][C]27.8860398012487[/C][C]0.220740852435712[/C][/ROW]
[ROW][C]0.23[/C][C]27.9307706267379[/C][C]0.208874515943317[/C][/ROW]
[ROW][C]0.24[/C][C]27.9722650711086[/C][C]0.196234597831958[/C][/ROW]
[ROW][C]0.25[/C][C]28.0105761183699[/C][C]0.183022220886022[/C][/ROW]
[ROW][C]0.26[/C][C]28.0458215883719[/C][C]0.169712965263029[/C][/ROW]
[ROW][C]0.27[/C][C]28.0782171211401[/C][C]0.15707951356932[/C][/ROW]
[ROW][C]0.28[/C][C]28.1081061691545[/C][C]0.146116403166141[/C][/ROW]
[ROW][C]0.29[/C][C]28.1359783307954[/C][C]0.138022976012965[/C][/ROW]
[ROW][C]0.3[/C][C]28.1624711410027[/C][C]0.133984453851155[/C][/ROW]
[ROW][C]0.31[/C][C]28.1883540293736[/C][C]0.135121129527286[/C][/ROW]
[ROW][C]0.32[/C][C]28.2144959395903[/C][C]0.142105020762351[/C][/ROW]
[ROW][C]0.33[/C][C]28.2418199241788[/C][C]0.155156293116464[/C][/ROW]
[ROW][C]0.34[/C][C]28.2712490432454[/C][C]0.173872362775723[/C][/ROW]
[ROW][C]0.35[/C][C]28.3036483787022[/C][C]0.197448104249813[/C][/ROW]
[ROW][C]0.36[/C][C]28.3397681546529[/C][C]0.224869569201285[/C][/ROW]
[ROW][C]0.37[/C][C]28.3801929261912[/C][C]0.254829239987556[/C][/ROW]
[ROW][C]0.38[/C][C]28.4253015230701[/C][C]0.285938745298842[/C][/ROW]
[ROW][C]0.39[/C][C]28.4752417949565[/C][C]0.316765202708519[/C][/ROW]
[ROW][C]0.4[/C][C]28.5299230961479[/C][C]0.345840142842896[/C][/ROW]
[ROW][C]0.41[/C][C]28.5890278563051[/C][C]0.371875784550217[/C][/ROW]
[ROW][C]0.42[/C][C]28.6520416322442[/C][C]0.393795851643326[/C][/ROW]
[ROW][C]0.43[/C][C]28.7182989759879[/C][C]0.410893024281034[/C][/ROW]
[ROW][C]0.44[/C][C]28.787040614915[/C][C]0.422806093342915[/C][/ROW]
[ROW][C]0.45[/C][C]28.857476145391[/C][C]0.429597057974259[/C][/ROW]
[ROW][C]0.46[/C][C]28.9288459273121[/C][C]0.431721373828355[/C][/ROW]
[ROW][C]0.47[/C][C]29.0004762182111[/C][C]0.429878959991904[/C][/ROW]
[ROW][C]0.48[/C][C]29.0718227139286[/C][C]0.425081389355296[/C][/ROW]
[ROW][C]0.49[/C][C]29.1424993315622[/C][C]0.418409492115716[/C][/ROW]
[ROW][C]0.5[/C][C]29.2122909559471[/C][C]0.411013720673897[/C][/ROW]
[ROW][C]0.51[/C][C]29.281150644328[/C][C]0.403932263580723[/C][/ROW]
[ROW][C]0.52[/C][C]29.3491831882205[/C][C]0.398090979958559[/C][/ROW]
[ROW][C]0.53[/C][C]29.4166178336607[/C][C]0.39414308424553[/C][/ROW]
[ROW][C]0.54[/C][C]29.4837733652387[/C][C]0.392536522061531[/C][/ROW]
[ROW][C]0.55[/C][C]29.5510187799094[/C][C]0.393457853323707[/C][/ROW]
[ROW][C]0.56[/C][C]29.618732582113[/C][C]0.396776951478053[/C][/ROW]
[ROW][C]0.57[/C][C]29.6872634784919[/C][C]0.402190932731052[/C][/ROW]
[ROW][C]0.58[/C][C]29.7568950278492[/C][C]0.409094007762024[/C][/ROW]
[ROW][C]0.59[/C][C]29.827816606829[/C][C]0.416772259730012[/C][/ROW]
[ROW][C]0.6[/C][C]29.9001027995471[/C][C]0.424421658531423[/C][/ROW]
[ROW][C]0.61[/C][C]29.9737028870515[/C][C]0.431182381340557[/C][/ROW]
[ROW][C]0.62[/C][C]30.0484413984633[/C][C]0.436206253459298[/C][/ROW]
[ROW][C]0.63[/C][C]30.1240296657117[/C][C]0.438855918876947[/C][/ROW]
[ROW][C]0.64[/C][C]30.2000870838054[/C][C]0.438654900271591[/C][/ROW]
[ROW][C]0.65[/C][C]30.2761695117705[/C][C]0.435297149701077[/C][/ROW]
[ROW][C]0.66[/C][C]30.3518012169712[/C][C]0.428801013011514[/C][/ROW]
[ROW][C]0.67[/C][C]30.4265062302844[/C][C]0.419336973021097[/C][/ROW]
[ROW][C]0.68[/C][C]30.4998351296961[/C][C]0.407248174520535[/C][/ROW]
[ROW][C]0.69[/C][C]30.5713841537344[/C][C]0.392953499756911[/C][/ROW]
[ROW][C]0.7[/C][C]30.6408050372094[/C][C]0.37696108181292[/C][/ROW]
[ROW][C]0.71[/C][C]30.7078057670982[/C][C]0.359699345532117[/C][/ROW]
[ROW][C]0.72[/C][C]30.7721441735287[/C][C]0.341497059780778[/C][/ROW]
[ROW][C]0.73[/C][C]30.8336174854362[/C][C]0.322591432186761[/C][/ROW]
[ROW][C]0.74[/C][C]30.8920513850737[/C][C]0.303106112576776[/C][/ROW]
[ROW][C]0.75[/C][C]30.9472915952934[/C][C]0.283105112018948[/C][/ROW]
[ROW][C]0.76[/C][C]30.9991998006929[/C][C]0.262646401000559[/C][/ROW]
[ROW][C]0.77[/C][C]31.0476541488013[/C][C]0.241782669532357[/C][/ROW]
[ROW][C]0.78[/C][C]31.0925532280496[/C][C]0.220700072757298[/C][/ROW]
[ROW][C]0.79[/C][C]31.1338217347342[/C][C]0.199579951157297[/C][/ROW]
[ROW][C]0.8[/C][C]31.1714162278229[/C][C]0.178657198219055[/C][/ROW]
[ROW][C]0.81[/C][C]31.2053302788557[/C][C]0.158182444018494[/C][/ROW]
[ROW][C]0.82[/C][C]31.235599492334[/C][C]0.138397945625394[/C][/ROW]
[ROW][C]0.83[/C][C]31.2623077191497[/C][C]0.119524099332777[/C][/ROW]
[ROW][C]0.84[/C][C]31.2855958825703[/C][C]0.101756896024904[/C][/ROW]
[ROW][C]0.85[/C][C]31.3056741127073[/C][C]0.0853103956060278[/C][/ROW]
[ROW][C]0.86[/C][C]31.3228366294832[/C][C]0.070469640201872[/C][/ROW]
[ROW][C]0.87[/C][C]31.3374774050617[/C][C]0.0575287421632744[/C][/ROW]
[ROW][C]0.88[/C][C]31.3501031335997[/C][C]0.0468695575232621[/C][/ROW]
[ROW][C]0.89[/C][C]31.3613379891334[/C][C]0.0389039965524199[/C][/ROW]
[ROW][C]0.9[/C][C]31.371911669222[/C][C]0.0340777988133527[/C][/ROW]
[ROW][C]0.91[/C][C]31.3826196100455[/C][C]0.0326900987578795[/C][/ROW]
[ROW][C]0.92[/C][C]31.3942469695927[/C][C]0.0344801875405414[/C][/ROW]
[ROW][C]0.93[/C][C]31.4074637859328[/C][C]0.0383862102460792[/C][/ROW]
[ROW][C]0.94[/C][C]31.4227292529242[/C][C]0.0426557333087725[/C][/ROW]
[ROW][C]0.95[/C][C]31.4402640862393[/C][C]0.0454502193533688[/C][/ROW]
[ROW][C]0.96[/C][C]31.4600968067336[/C][C]0.0457388075445488[/C][/ROW]
[ROW][C]0.97[/C][C]31.4820026918651[/C][C]0.0447139374214917[/C][/ROW]
[ROW][C]0.98[/C][C]31.5049545626981[/C][C]0.0461453239459767[/C][/ROW]
[ROW][C]0.99[/C][C]31.5260130322813[/C][C]0.0522160622848842[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167941&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167941&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
0.0126.76485248283710.122389416142624
0.0226.82061747836990.129185505506101
0.0326.88396425797650.13080506348226
0.0426.94497365746130.124022677672247
0.0526.99914536999230.113218347517456
0.0627.0461089407940.105756617849561
0.0727.08786134448160.107762184530797
0.0827.12737703507120.121296192440443
0.0927.16763296381670.144264215015241
0.127.21097973622560.172529666862747
0.1127.25881622068040.201835948342769
0.1227.31152548264870.228483784776366
0.1327.36861151122540.249701347986234
0.1427.42896083867920.264031000136404
0.1527.49114937649290.271265953521181
0.1627.55372430575250.272215049886108
0.1727.61541196000510.268362588669404
0.1827.6752302057230.261288120620959
0.1927.73251060286970.252350137963004
0.227.78685502983040.242428155994182
0.2127.83805998841290.231878736086892
0.2227.88603980124870.220740852435712
0.2327.93077062673790.208874515943317
0.2427.97226507110860.196234597831958
0.2528.01057611836990.183022220886022
0.2628.04582158837190.169712965263029
0.2728.07821712114010.15707951356932
0.2828.10810616915450.146116403166141
0.2928.13597833079540.138022976012965
0.328.16247114100270.133984453851155
0.3128.18835402937360.135121129527286
0.3228.21449593959030.142105020762351
0.3328.24181992417880.155156293116464
0.3428.27124904324540.173872362775723
0.3528.30364837870220.197448104249813
0.3628.33976815465290.224869569201285
0.3728.38019292619120.254829239987556
0.3828.42530152307010.285938745298842
0.3928.47524179495650.316765202708519
0.428.52992309614790.345840142842896
0.4128.58902785630510.371875784550217
0.4228.65204163224420.393795851643326
0.4328.71829897598790.410893024281034
0.4428.7870406149150.422806093342915
0.4528.8574761453910.429597057974259
0.4628.92884592731210.431721373828355
0.4729.00047621821110.429878959991904
0.4829.07182271392860.425081389355296
0.4929.14249933156220.418409492115716
0.529.21229095594710.411013720673897
0.5129.2811506443280.403932263580723
0.5229.34918318822050.398090979958559
0.5329.41661783366070.39414308424553
0.5429.48377336523870.392536522061531
0.5529.55101877990940.393457853323707
0.5629.6187325821130.396776951478053
0.5729.68726347849190.402190932731052
0.5829.75689502784920.409094007762024
0.5929.8278166068290.416772259730012
0.629.90010279954710.424421658531423
0.6129.97370288705150.431182381340557
0.6230.04844139846330.436206253459298
0.6330.12402966571170.438855918876947
0.6430.20008708380540.438654900271591
0.6530.27616951177050.435297149701077
0.6630.35180121697120.428801013011514
0.6730.42650623028440.419336973021097
0.6830.49983512969610.407248174520535
0.6930.57138415373440.392953499756911
0.730.64080503720940.37696108181292
0.7130.70780576709820.359699345532117
0.7230.77214417352870.341497059780778
0.7330.83361748543620.322591432186761
0.7430.89205138507370.303106112576776
0.7530.94729159529340.283105112018948
0.7630.99919980069290.262646401000559
0.7731.04765414880130.241782669532357
0.7831.09255322804960.220700072757298
0.7931.13382173473420.199579951157297
0.831.17141622782290.178657198219055
0.8131.20533027885570.158182444018494
0.8231.2355994923340.138397945625394
0.8331.26230771914970.119524099332777
0.8431.28559588257030.101756896024904
0.8531.30567411270730.0853103956060278
0.8631.32283662948320.070469640201872
0.8731.33747740506170.0575287421632744
0.8831.35010313359970.0468695575232621
0.8931.36133798913340.0389039965524199
0.931.3719116692220.0340777988133527
0.9131.38261961004550.0326900987578795
0.9231.39424696959270.0344801875405414
0.9331.40746378593280.0383862102460792
0.9431.42272925292420.0426557333087725
0.9531.44026408623930.0454502193533688
0.9631.46009680673360.0457388075445488
0.9731.48200269186510.0447139374214917
0.9831.50495456269810.0461453239459767
0.9931.52601303228130.0522160622848842


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')