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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 computationSat, 06 Oct 2012 08:34:31 -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/Oct/06/t1349526921phrx5xgfpih91wr.htm/, Retrieved Tue, 30 Apr 2024 19:08:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172599, Retrieved Tue, 30 Apr 2024 19:08:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-23 14:20:58] [73ff502f5cc0e8f9d4cad04b672b43dc]
- RMPD    [Harrell-Davis Quantiles] [] [2012-10-06 12:34:31] [19a5fa3cc9952272699ac0aa748608b8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.6
2
2.6
3
2.6
2.9
2.5
2.4
1.5
1.1
0.6
0.9
1.1
1.5
1.7
1.2
0.4
-0.7
-1.4
-1.6
-1.2
-0.4
-0.2
-0.3
-0.5
0
-0.5
0.2
0.7
1.6
2.6
3.3
3.3
3.2
3.5
3.9
4.5
4.6
6.6
7.1
8.9
8.8
8.5
7.6
7.5
7.5
6.1
6.3
8.4
7.1
5.6
4.2
2.1
1.2
0.9
1.4
1.7
1.7
1.9
1.3
-0.7
0.3
0.8
0.9
1.1
2.5
2.7
3.3
4.2
3.8
3.8
3.2
2.9
1.9
1.7
1.6
1.7
1.2
0.7
-0.2
-1.5
-1.2
-1
0
-0.6
0.7
1.3
0.8
1
0.5
0.3
1
1
1.1
1.5
1.5
2
1.7
0.6
1.2
1.5
2.1
3.2
3.9
4.6
4.2
4.4
3.7
3.7
2.8
2.9
3.9
3.1
3
2.8
2.4
2.1
3.1
3
3.1
3.3
3.3
3.8
3.1
3.9
4
4.4
3.7
3.6
3.4
2.8
2.8
2.6
3.3
2.4
1.6
0.7
0
-1.1
-1.2
-1.3
-1.6
-1.3
-1.6
-1.1
-1
0.3
1.2
0.7
1.1
2.1
2.5
2.3
2.3
2.6
3.2
2.2
2.7
2.2
1.4
2.4
2
1.3
1.1
1.4
1.8
1.9
1.6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172599&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172599&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1.577329179617280.0515569070193822
0.02-1.49682361410690.117175343565144
0.03-1.386768701727840.129401391560858
0.04-1.285782033986410.121176374488565
0.05-1.197459935784180.132425219492265
0.06-1.106982307078260.170453955540027
0.07-1.001893927095490.220198202298544
0.08-0.8795330761835620.262857330308837
0.09-0.7452739376052530.288595823730841
0.1-0.6068580179497540.299764884566194
0.11-0.4697507333587870.304441438344239
0.12-0.3360350108309220.308180211501927
0.13-0.2058782166539820.311566420459902
0.14-0.07927901673301920.312680528026769
0.150.04315044937297320.30968741023932
0.160.1602391437655630.301671138867733
0.170.2705938723673750.288518138375405
0.180.3729213290923460.270807072960525
0.190.4663149741644690.249949190127605
0.20.550517066576340.228243917876116
0.210.6260650760390990.208418078081218
0.220.6941960049407340.192600584651281
0.230.7564896654389420.181337777000336
0.240.8143988289297220.173442837850265
0.250.868894994015640.166867149854734
0.260.920387316162440.159917058286233
0.270.9689108482820440.152017270323282
0.281.014446032579340.143781505443336
0.291.057196974531420.136559528335655
0.31.097713113342160.131768886429793
0.311.13683161102980.130273189207077
0.321.175493110838650.132045262409551
0.331.214517431989040.136204158315047
0.341.254420983577280.141330696710555
0.351.295329285700360.145939312384248
0.361.337001374973790.148852824617591
0.371.378949057672240.14949323931013
0.381.420610168355170.147972877812977
0.391.4615257414170.14501244907617
0.41.501477201658730.141736130487633
0.411.540556991047460.139391139019075
0.421.579166141719440.13909335935044
0.431.617947603716960.14159773681299
0.441.657672462077580.147150315676006
0.451.699100825091730.155415128457972
0.461.742843956991510.165523004101936
0.471.789258163591380.176275397808452
0.481.838397943461140.186451338470409
0.491.890040703768460.195110931491902
0.51.943770419516040.201767404375234
0.511.999084622393860.206399525715729
0.522.055481995781790.209227227375553
0.532.11250259785860.210484041855249
0.542.169721748877750.210242088391377
0.552.226724853679820.208420419116104
0.562.283098509734750.204959914388675
0.572.338459445390170.200010730293726
0.582.392516761393710.194065464043828
0.592.445140461419670.187864456762893
0.62.496402358232150.182253367645672
0.612.546566222674370.177930570894356
0.622.596025395390810.175232904644026
0.632.645206927245020.174070162067975
0.642.694472367262470.173986866544123
0.652.744042913807550.174326385718316
0.662.793963880161450.174411559651744
0.672.844108237040480.173678284090802
0.682.894209536789650.171734213526485
0.692.943914276754170.168390217606711
0.72.992850040446460.163684447067413
0.713.040712693609680.157979387736563
0.723.087378220933590.152007374452692
0.733.133038033163470.14696493760477
0.743.178335765597880.144469368504516
0.753.224447832278560.146367697018507
0.763.27301545125260.154066056693721
0.773.325842510298920.167514528585367
0.783.384363071885110.18447322492089
0.793.449046345034490.200770486353591
0.83.519052478893240.211854381308178
0.813.592442162577240.214876365114839
0.823.667009908567320.210408378922257
0.833.741453150668650.202752452922109
0.843.816341675129790.198461252304469
0.853.894446279904590.203604315376947
0.863.980500527881690.22159764467704
0.874.081199020018080.254654216040445
0.884.206539775055910.309351120380456
0.894.372495685444650.400324638094921
0.94.602085389312940.540826015966814
0.914.91948455558830.719212305157823
0.925.334959785080420.883607789679609
0.935.828890172169470.961423734877648
0.946.351601443716490.910487714967578
0.956.849217376604280.76028106350992
0.967.30545069043890.609296205015801
0.977.759315259726230.553855821137176
0.988.241319836304860.504663797865331
0.998.676532849750170.305996519037238

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1.57732917961728 & 0.0515569070193822 \tabularnewline
0.02 & -1.4968236141069 & 0.117175343565144 \tabularnewline
0.03 & -1.38676870172784 & 0.129401391560858 \tabularnewline
0.04 & -1.28578203398641 & 0.121176374488565 \tabularnewline
0.05 & -1.19745993578418 & 0.132425219492265 \tabularnewline
0.06 & -1.10698230707826 & 0.170453955540027 \tabularnewline
0.07 & -1.00189392709549 & 0.220198202298544 \tabularnewline
0.08 & -0.879533076183562 & 0.262857330308837 \tabularnewline
0.09 & -0.745273937605253 & 0.288595823730841 \tabularnewline
0.1 & -0.606858017949754 & 0.299764884566194 \tabularnewline
0.11 & -0.469750733358787 & 0.304441438344239 \tabularnewline
0.12 & -0.336035010830922 & 0.308180211501927 \tabularnewline
0.13 & -0.205878216653982 & 0.311566420459902 \tabularnewline
0.14 & -0.0792790167330192 & 0.312680528026769 \tabularnewline
0.15 & 0.0431504493729732 & 0.30968741023932 \tabularnewline
0.16 & 0.160239143765563 & 0.301671138867733 \tabularnewline
0.17 & 0.270593872367375 & 0.288518138375405 \tabularnewline
0.18 & 0.372921329092346 & 0.270807072960525 \tabularnewline
0.19 & 0.466314974164469 & 0.249949190127605 \tabularnewline
0.2 & 0.55051706657634 & 0.228243917876116 \tabularnewline
0.21 & 0.626065076039099 & 0.208418078081218 \tabularnewline
0.22 & 0.694196004940734 & 0.192600584651281 \tabularnewline
0.23 & 0.756489665438942 & 0.181337777000336 \tabularnewline
0.24 & 0.814398828929722 & 0.173442837850265 \tabularnewline
0.25 & 0.86889499401564 & 0.166867149854734 \tabularnewline
0.26 & 0.92038731616244 & 0.159917058286233 \tabularnewline
0.27 & 0.968910848282044 & 0.152017270323282 \tabularnewline
0.28 & 1.01444603257934 & 0.143781505443336 \tabularnewline
0.29 & 1.05719697453142 & 0.136559528335655 \tabularnewline
0.3 & 1.09771311334216 & 0.131768886429793 \tabularnewline
0.31 & 1.1368316110298 & 0.130273189207077 \tabularnewline
0.32 & 1.17549311083865 & 0.132045262409551 \tabularnewline
0.33 & 1.21451743198904 & 0.136204158315047 \tabularnewline
0.34 & 1.25442098357728 & 0.141330696710555 \tabularnewline
0.35 & 1.29532928570036 & 0.145939312384248 \tabularnewline
0.36 & 1.33700137497379 & 0.148852824617591 \tabularnewline
0.37 & 1.37894905767224 & 0.14949323931013 \tabularnewline
0.38 & 1.42061016835517 & 0.147972877812977 \tabularnewline
0.39 & 1.461525741417 & 0.14501244907617 \tabularnewline
0.4 & 1.50147720165873 & 0.141736130487633 \tabularnewline
0.41 & 1.54055699104746 & 0.139391139019075 \tabularnewline
0.42 & 1.57916614171944 & 0.13909335935044 \tabularnewline
0.43 & 1.61794760371696 & 0.14159773681299 \tabularnewline
0.44 & 1.65767246207758 & 0.147150315676006 \tabularnewline
0.45 & 1.69910082509173 & 0.155415128457972 \tabularnewline
0.46 & 1.74284395699151 & 0.165523004101936 \tabularnewline
0.47 & 1.78925816359138 & 0.176275397808452 \tabularnewline
0.48 & 1.83839794346114 & 0.186451338470409 \tabularnewline
0.49 & 1.89004070376846 & 0.195110931491902 \tabularnewline
0.5 & 1.94377041951604 & 0.201767404375234 \tabularnewline
0.51 & 1.99908462239386 & 0.206399525715729 \tabularnewline
0.52 & 2.05548199578179 & 0.209227227375553 \tabularnewline
0.53 & 2.1125025978586 & 0.210484041855249 \tabularnewline
0.54 & 2.16972174887775 & 0.210242088391377 \tabularnewline
0.55 & 2.22672485367982 & 0.208420419116104 \tabularnewline
0.56 & 2.28309850973475 & 0.204959914388675 \tabularnewline
0.57 & 2.33845944539017 & 0.200010730293726 \tabularnewline
0.58 & 2.39251676139371 & 0.194065464043828 \tabularnewline
0.59 & 2.44514046141967 & 0.187864456762893 \tabularnewline
0.6 & 2.49640235823215 & 0.182253367645672 \tabularnewline
0.61 & 2.54656622267437 & 0.177930570894356 \tabularnewline
0.62 & 2.59602539539081 & 0.175232904644026 \tabularnewline
0.63 & 2.64520692724502 & 0.174070162067975 \tabularnewline
0.64 & 2.69447236726247 & 0.173986866544123 \tabularnewline
0.65 & 2.74404291380755 & 0.174326385718316 \tabularnewline
0.66 & 2.79396388016145 & 0.174411559651744 \tabularnewline
0.67 & 2.84410823704048 & 0.173678284090802 \tabularnewline
0.68 & 2.89420953678965 & 0.171734213526485 \tabularnewline
0.69 & 2.94391427675417 & 0.168390217606711 \tabularnewline
0.7 & 2.99285004044646 & 0.163684447067413 \tabularnewline
0.71 & 3.04071269360968 & 0.157979387736563 \tabularnewline
0.72 & 3.08737822093359 & 0.152007374452692 \tabularnewline
0.73 & 3.13303803316347 & 0.14696493760477 \tabularnewline
0.74 & 3.17833576559788 & 0.144469368504516 \tabularnewline
0.75 & 3.22444783227856 & 0.146367697018507 \tabularnewline
0.76 & 3.2730154512526 & 0.154066056693721 \tabularnewline
0.77 & 3.32584251029892 & 0.167514528585367 \tabularnewline
0.78 & 3.38436307188511 & 0.18447322492089 \tabularnewline
0.79 & 3.44904634503449 & 0.200770486353591 \tabularnewline
0.8 & 3.51905247889324 & 0.211854381308178 \tabularnewline
0.81 & 3.59244216257724 & 0.214876365114839 \tabularnewline
0.82 & 3.66700990856732 & 0.210408378922257 \tabularnewline
0.83 & 3.74145315066865 & 0.202752452922109 \tabularnewline
0.84 & 3.81634167512979 & 0.198461252304469 \tabularnewline
0.85 & 3.89444627990459 & 0.203604315376947 \tabularnewline
0.86 & 3.98050052788169 & 0.22159764467704 \tabularnewline
0.87 & 4.08119902001808 & 0.254654216040445 \tabularnewline
0.88 & 4.20653977505591 & 0.309351120380456 \tabularnewline
0.89 & 4.37249568544465 & 0.400324638094921 \tabularnewline
0.9 & 4.60208538931294 & 0.540826015966814 \tabularnewline
0.91 & 4.9194845555883 & 0.719212305157823 \tabularnewline
0.92 & 5.33495978508042 & 0.883607789679609 \tabularnewline
0.93 & 5.82889017216947 & 0.961423734877648 \tabularnewline
0.94 & 6.35160144371649 & 0.910487714967578 \tabularnewline
0.95 & 6.84921737660428 & 0.76028106350992 \tabularnewline
0.96 & 7.3054506904389 & 0.609296205015801 \tabularnewline
0.97 & 7.75931525972623 & 0.553855821137176 \tabularnewline
0.98 & 8.24131983630486 & 0.504663797865331 \tabularnewline
0.99 & 8.67653284975017 & 0.305996519037238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172599&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]-1.57732917961728[/C][C]0.0515569070193822[/C][/ROW]
[ROW][C]0.02[/C][C]-1.4968236141069[/C][C]0.117175343565144[/C][/ROW]
[ROW][C]0.03[/C][C]-1.38676870172784[/C][C]0.129401391560858[/C][/ROW]
[ROW][C]0.04[/C][C]-1.28578203398641[/C][C]0.121176374488565[/C][/ROW]
[ROW][C]0.05[/C][C]-1.19745993578418[/C][C]0.132425219492265[/C][/ROW]
[ROW][C]0.06[/C][C]-1.10698230707826[/C][C]0.170453955540027[/C][/ROW]
[ROW][C]0.07[/C][C]-1.00189392709549[/C][C]0.220198202298544[/C][/ROW]
[ROW][C]0.08[/C][C]-0.879533076183562[/C][C]0.262857330308837[/C][/ROW]
[ROW][C]0.09[/C][C]-0.745273937605253[/C][C]0.288595823730841[/C][/ROW]
[ROW][C]0.1[/C][C]-0.606858017949754[/C][C]0.299764884566194[/C][/ROW]
[ROW][C]0.11[/C][C]-0.469750733358787[/C][C]0.304441438344239[/C][/ROW]
[ROW][C]0.12[/C][C]-0.336035010830922[/C][C]0.308180211501927[/C][/ROW]
[ROW][C]0.13[/C][C]-0.205878216653982[/C][C]0.311566420459902[/C][/ROW]
[ROW][C]0.14[/C][C]-0.0792790167330192[/C][C]0.312680528026769[/C][/ROW]
[ROW][C]0.15[/C][C]0.0431504493729732[/C][C]0.30968741023932[/C][/ROW]
[ROW][C]0.16[/C][C]0.160239143765563[/C][C]0.301671138867733[/C][/ROW]
[ROW][C]0.17[/C][C]0.270593872367375[/C][C]0.288518138375405[/C][/ROW]
[ROW][C]0.18[/C][C]0.372921329092346[/C][C]0.270807072960525[/C][/ROW]
[ROW][C]0.19[/C][C]0.466314974164469[/C][C]0.249949190127605[/C][/ROW]
[ROW][C]0.2[/C][C]0.55051706657634[/C][C]0.228243917876116[/C][/ROW]
[ROW][C]0.21[/C][C]0.626065076039099[/C][C]0.208418078081218[/C][/ROW]
[ROW][C]0.22[/C][C]0.694196004940734[/C][C]0.192600584651281[/C][/ROW]
[ROW][C]0.23[/C][C]0.756489665438942[/C][C]0.181337777000336[/C][/ROW]
[ROW][C]0.24[/C][C]0.814398828929722[/C][C]0.173442837850265[/C][/ROW]
[ROW][C]0.25[/C][C]0.86889499401564[/C][C]0.166867149854734[/C][/ROW]
[ROW][C]0.26[/C][C]0.92038731616244[/C][C]0.159917058286233[/C][/ROW]
[ROW][C]0.27[/C][C]0.968910848282044[/C][C]0.152017270323282[/C][/ROW]
[ROW][C]0.28[/C][C]1.01444603257934[/C][C]0.143781505443336[/C][/ROW]
[ROW][C]0.29[/C][C]1.05719697453142[/C][C]0.136559528335655[/C][/ROW]
[ROW][C]0.3[/C][C]1.09771311334216[/C][C]0.131768886429793[/C][/ROW]
[ROW][C]0.31[/C][C]1.1368316110298[/C][C]0.130273189207077[/C][/ROW]
[ROW][C]0.32[/C][C]1.17549311083865[/C][C]0.132045262409551[/C][/ROW]
[ROW][C]0.33[/C][C]1.21451743198904[/C][C]0.136204158315047[/C][/ROW]
[ROW][C]0.34[/C][C]1.25442098357728[/C][C]0.141330696710555[/C][/ROW]
[ROW][C]0.35[/C][C]1.29532928570036[/C][C]0.145939312384248[/C][/ROW]
[ROW][C]0.36[/C][C]1.33700137497379[/C][C]0.148852824617591[/C][/ROW]
[ROW][C]0.37[/C][C]1.37894905767224[/C][C]0.14949323931013[/C][/ROW]
[ROW][C]0.38[/C][C]1.42061016835517[/C][C]0.147972877812977[/C][/ROW]
[ROW][C]0.39[/C][C]1.461525741417[/C][C]0.14501244907617[/C][/ROW]
[ROW][C]0.4[/C][C]1.50147720165873[/C][C]0.141736130487633[/C][/ROW]
[ROW][C]0.41[/C][C]1.54055699104746[/C][C]0.139391139019075[/C][/ROW]
[ROW][C]0.42[/C][C]1.57916614171944[/C][C]0.13909335935044[/C][/ROW]
[ROW][C]0.43[/C][C]1.61794760371696[/C][C]0.14159773681299[/C][/ROW]
[ROW][C]0.44[/C][C]1.65767246207758[/C][C]0.147150315676006[/C][/ROW]
[ROW][C]0.45[/C][C]1.69910082509173[/C][C]0.155415128457972[/C][/ROW]
[ROW][C]0.46[/C][C]1.74284395699151[/C][C]0.165523004101936[/C][/ROW]
[ROW][C]0.47[/C][C]1.78925816359138[/C][C]0.176275397808452[/C][/ROW]
[ROW][C]0.48[/C][C]1.83839794346114[/C][C]0.186451338470409[/C][/ROW]
[ROW][C]0.49[/C][C]1.89004070376846[/C][C]0.195110931491902[/C][/ROW]
[ROW][C]0.5[/C][C]1.94377041951604[/C][C]0.201767404375234[/C][/ROW]
[ROW][C]0.51[/C][C]1.99908462239386[/C][C]0.206399525715729[/C][/ROW]
[ROW][C]0.52[/C][C]2.05548199578179[/C][C]0.209227227375553[/C][/ROW]
[ROW][C]0.53[/C][C]2.1125025978586[/C][C]0.210484041855249[/C][/ROW]
[ROW][C]0.54[/C][C]2.16972174887775[/C][C]0.210242088391377[/C][/ROW]
[ROW][C]0.55[/C][C]2.22672485367982[/C][C]0.208420419116104[/C][/ROW]
[ROW][C]0.56[/C][C]2.28309850973475[/C][C]0.204959914388675[/C][/ROW]
[ROW][C]0.57[/C][C]2.33845944539017[/C][C]0.200010730293726[/C][/ROW]
[ROW][C]0.58[/C][C]2.39251676139371[/C][C]0.194065464043828[/C][/ROW]
[ROW][C]0.59[/C][C]2.44514046141967[/C][C]0.187864456762893[/C][/ROW]
[ROW][C]0.6[/C][C]2.49640235823215[/C][C]0.182253367645672[/C][/ROW]
[ROW][C]0.61[/C][C]2.54656622267437[/C][C]0.177930570894356[/C][/ROW]
[ROW][C]0.62[/C][C]2.59602539539081[/C][C]0.175232904644026[/C][/ROW]
[ROW][C]0.63[/C][C]2.64520692724502[/C][C]0.174070162067975[/C][/ROW]
[ROW][C]0.64[/C][C]2.69447236726247[/C][C]0.173986866544123[/C][/ROW]
[ROW][C]0.65[/C][C]2.74404291380755[/C][C]0.174326385718316[/C][/ROW]
[ROW][C]0.66[/C][C]2.79396388016145[/C][C]0.174411559651744[/C][/ROW]
[ROW][C]0.67[/C][C]2.84410823704048[/C][C]0.173678284090802[/C][/ROW]
[ROW][C]0.68[/C][C]2.89420953678965[/C][C]0.171734213526485[/C][/ROW]
[ROW][C]0.69[/C][C]2.94391427675417[/C][C]0.168390217606711[/C][/ROW]
[ROW][C]0.7[/C][C]2.99285004044646[/C][C]0.163684447067413[/C][/ROW]
[ROW][C]0.71[/C][C]3.04071269360968[/C][C]0.157979387736563[/C][/ROW]
[ROW][C]0.72[/C][C]3.08737822093359[/C][C]0.152007374452692[/C][/ROW]
[ROW][C]0.73[/C][C]3.13303803316347[/C][C]0.14696493760477[/C][/ROW]
[ROW][C]0.74[/C][C]3.17833576559788[/C][C]0.144469368504516[/C][/ROW]
[ROW][C]0.75[/C][C]3.22444783227856[/C][C]0.146367697018507[/C][/ROW]
[ROW][C]0.76[/C][C]3.2730154512526[/C][C]0.154066056693721[/C][/ROW]
[ROW][C]0.77[/C][C]3.32584251029892[/C][C]0.167514528585367[/C][/ROW]
[ROW][C]0.78[/C][C]3.38436307188511[/C][C]0.18447322492089[/C][/ROW]
[ROW][C]0.79[/C][C]3.44904634503449[/C][C]0.200770486353591[/C][/ROW]
[ROW][C]0.8[/C][C]3.51905247889324[/C][C]0.211854381308178[/C][/ROW]
[ROW][C]0.81[/C][C]3.59244216257724[/C][C]0.214876365114839[/C][/ROW]
[ROW][C]0.82[/C][C]3.66700990856732[/C][C]0.210408378922257[/C][/ROW]
[ROW][C]0.83[/C][C]3.74145315066865[/C][C]0.202752452922109[/C][/ROW]
[ROW][C]0.84[/C][C]3.81634167512979[/C][C]0.198461252304469[/C][/ROW]
[ROW][C]0.85[/C][C]3.89444627990459[/C][C]0.203604315376947[/C][/ROW]
[ROW][C]0.86[/C][C]3.98050052788169[/C][C]0.22159764467704[/C][/ROW]
[ROW][C]0.87[/C][C]4.08119902001808[/C][C]0.254654216040445[/C][/ROW]
[ROW][C]0.88[/C][C]4.20653977505591[/C][C]0.309351120380456[/C][/ROW]
[ROW][C]0.89[/C][C]4.37249568544465[/C][C]0.400324638094921[/C][/ROW]
[ROW][C]0.9[/C][C]4.60208538931294[/C][C]0.540826015966814[/C][/ROW]
[ROW][C]0.91[/C][C]4.9194845555883[/C][C]0.719212305157823[/C][/ROW]
[ROW][C]0.92[/C][C]5.33495978508042[/C][C]0.883607789679609[/C][/ROW]
[ROW][C]0.93[/C][C]5.82889017216947[/C][C]0.961423734877648[/C][/ROW]
[ROW][C]0.94[/C][C]6.35160144371649[/C][C]0.910487714967578[/C][/ROW]
[ROW][C]0.95[/C][C]6.84921737660428[/C][C]0.76028106350992[/C][/ROW]
[ROW][C]0.96[/C][C]7.3054506904389[/C][C]0.609296205015801[/C][/ROW]
[ROW][C]0.97[/C][C]7.75931525972623[/C][C]0.553855821137176[/C][/ROW]
[ROW][C]0.98[/C][C]8.24131983630486[/C][C]0.504663797865331[/C][/ROW]
[ROW][C]0.99[/C][C]8.67653284975017[/C][C]0.305996519037238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172599&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
0.01-1.577329179617280.0515569070193822
0.02-1.49682361410690.117175343565144
0.03-1.386768701727840.129401391560858
0.04-1.285782033986410.121176374488565
0.05-1.197459935784180.132425219492265
0.06-1.106982307078260.170453955540027
0.07-1.001893927095490.220198202298544
0.08-0.8795330761835620.262857330308837
0.09-0.7452739376052530.288595823730841
0.1-0.6068580179497540.299764884566194
0.11-0.4697507333587870.304441438344239
0.12-0.3360350108309220.308180211501927
0.13-0.2058782166539820.311566420459902
0.14-0.07927901673301920.312680528026769
0.150.04315044937297320.30968741023932
0.160.1602391437655630.301671138867733
0.170.2705938723673750.288518138375405
0.180.3729213290923460.270807072960525
0.190.4663149741644690.249949190127605
0.20.550517066576340.228243917876116
0.210.6260650760390990.208418078081218
0.220.6941960049407340.192600584651281
0.230.7564896654389420.181337777000336
0.240.8143988289297220.173442837850265
0.250.868894994015640.166867149854734
0.260.920387316162440.159917058286233
0.270.9689108482820440.152017270323282
0.281.014446032579340.143781505443336
0.291.057196974531420.136559528335655
0.31.097713113342160.131768886429793
0.311.13683161102980.130273189207077
0.321.175493110838650.132045262409551
0.331.214517431989040.136204158315047
0.341.254420983577280.141330696710555
0.351.295329285700360.145939312384248
0.361.337001374973790.148852824617591
0.371.378949057672240.14949323931013
0.381.420610168355170.147972877812977
0.391.4615257414170.14501244907617
0.41.501477201658730.141736130487633
0.411.540556991047460.139391139019075
0.421.579166141719440.13909335935044
0.431.617947603716960.14159773681299
0.441.657672462077580.147150315676006
0.451.699100825091730.155415128457972
0.461.742843956991510.165523004101936
0.471.789258163591380.176275397808452
0.481.838397943461140.186451338470409
0.491.890040703768460.195110931491902
0.51.943770419516040.201767404375234
0.511.999084622393860.206399525715729
0.522.055481995781790.209227227375553
0.532.11250259785860.210484041855249
0.542.169721748877750.210242088391377
0.552.226724853679820.208420419116104
0.562.283098509734750.204959914388675
0.572.338459445390170.200010730293726
0.582.392516761393710.194065464043828
0.592.445140461419670.187864456762893
0.62.496402358232150.182253367645672
0.612.546566222674370.177930570894356
0.622.596025395390810.175232904644026
0.632.645206927245020.174070162067975
0.642.694472367262470.173986866544123
0.652.744042913807550.174326385718316
0.662.793963880161450.174411559651744
0.672.844108237040480.173678284090802
0.682.894209536789650.171734213526485
0.692.943914276754170.168390217606711
0.72.992850040446460.163684447067413
0.713.040712693609680.157979387736563
0.723.087378220933590.152007374452692
0.733.133038033163470.14696493760477
0.743.178335765597880.144469368504516
0.753.224447832278560.146367697018507
0.763.27301545125260.154066056693721
0.773.325842510298920.167514528585367
0.783.384363071885110.18447322492089
0.793.449046345034490.200770486353591
0.83.519052478893240.211854381308178
0.813.592442162577240.214876365114839
0.823.667009908567320.210408378922257
0.833.741453150668650.202752452922109
0.843.816341675129790.198461252304469
0.853.894446279904590.203604315376947
0.863.980500527881690.22159764467704
0.874.081199020018080.254654216040445
0.884.206539775055910.309351120380456
0.894.372495685444650.400324638094921
0.94.602085389312940.540826015966814
0.914.91948455558830.719212305157823
0.925.334959785080420.883607789679609
0.935.828890172169470.961423734877648
0.946.351601443716490.910487714967578
0.956.849217376604280.76028106350992
0.967.30545069043890.609296205015801
0.977.759315259726230.553855821137176
0.988.241319836304860.504663797865331
0.998.676532849750170.305996519037238


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')