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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, 22 Feb 2012 14:18:21 -0500
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/Feb/22/t1329938379pc3pzuulf8860bt.htm/, Retrieved Mon, 06 May 2024 16:36:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163171, Retrieved Mon, 06 May 2024 16:36:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact78

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] [Grafiek opdracht 1] [2012-02-22 17:43:27] [84729df80e0e588164e1503707dc402d]
- RMPD    [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2012-02-22 19:18:21] [ead7f94c39a9147d7fc817f49c1841e5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.9
5.9
5.7
3.6
4.9
5.3
8.7
6.8
8.9
9.6
11.2
9.9
9.3
9.2
9.4
12.7
13.6
16.1
14.8
14.1
13.2
8.7
4.9
-1.3
-3.9
-6
-6.6
-8.7
-11.6
-14.6
-12.9
-13.8
-14.1
-13.2
-10.4
-3.3
1
3.1
4.5
1.9
3.9
7
5.6
8.1
6.1
8
6.5
5.6
4.8
5.1
7.8
10.3
8.6
6.8
4.9
5.4
5.5
4.7
4.2
5
5
6
2.9
3.6
5.1
2.9
4.7
3
5
2.6
3.2
2.4
3.2
2.6
2.4
2.1
2.7
4.4
4.3
4.2
5.5
8.8
10.1
7
5.7
5.2
5.5
7.3
5.9
7.1
6.9
6.7
4.7
6.7
8.5
2.1
-0.9
-4.7
4.8
2.6
1.7
-1.8
0.2
1.9
3.2
3.1
4.2
16.2
18.3
21.6
12.6
9.8
10.6
13
9.7
7.9
3.3
3.4
0.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163171&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163171&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-14.25155767087260.514021720809783
0.02-13.67132037875780.83549126795784
0.03-12.90125596173231.41375859574514
0.04-11.88003519507212.08527464303044
0.05-10.61638956428032.65596264897012
0.06-9.199006465269332.99305220383218
0.07-7.744990683493763.08459830686763
0.08-6.350026220293643.00686623581568
0.09-5.066662921274162.85227345647556
0.1-3.910119856163712.67854344469829
0.11-2.875771996195672.50189703456424
0.12-1.954087279399272.31693582979504
0.13-1.137747195454352.11596342750824
0.14-0.4225191739104181.8972036891253
0.150.1946216100607741.6653682715299
0.160.717641056682951.42991606955835
0.171.152822697828821.202825765808
0.181.509149400529640.996009447609975
0.191.797802488856020.818689128014135
0.22.031069864498970.675560388664272
0.212.221066528624640.566430188239426
0.222.37865745550430.487242534813888
0.232.512824940896870.432015396937815
0.242.630522887608420.394662556745794
0.252.736907072678480.370280208986995
0.262.835766515651080.355642114268446
0.272.929990366785180.349125433236821
0.283.021949137966730.350226275939115
0.293.113721596013580.358825209666279
0.33.207149860038040.374356314296437
0.313.303752436771350.395314028497705
0.323.404561727043630.419164873184267
0.333.509968941245550.442720726477445
0.343.619648948079330.462769067847658
0.353.732603846055490.47664836093398
0.363.847320405561940.482683935127926
0.373.962000139720620.480339143397264
0.384.074804365256560.470076977679406
0.394.184063127195310.453109139473503
0.44.288419277587350.431024673663318
0.414.386904999638140.405513918933108
0.424.478966420381090.378286638381627
0.434.56445730419860.35095450288061
0.444.643616845893050.325105835011601
0.454.717035656572270.302211848412693
0.464.785605259942180.283624857931041
0.474.850444302458630.270307342368904
0.484.91279982105960.262735211775722
0.494.973931616176230.260747122231892
0.55.034997725270830.263565544096877
0.515.096964905316470.270001744546778
0.525.160566885390210.278772142523782
0.535.226323937207020.288881492137766
0.545.294621489592120.299877985636709
0.555.365827014214950.311997324983932
0.565.440408944703070.326073601856448
0.575.519014933031160.343244125575324
0.585.602473499218880.364445189315161
0.595.691703638260610.389892576719181
0.65.787547076841550.418773389663691
0.615.890569137818550.449237159297544
0.626.00089558874210.478735812403637
0.636.118154158354690.504758262845271
0.646.241565101613960.525568825812229
0.656.370178235695770.540854829401232
0.666.503197213856320.552005824864556
0.676.640286007885990.561895907988576
0.686.781738908274340.573912377107884
0.696.928426318584690.590720242519202
0.77.081500005356570.612974660331071
0.717.241930698103350.638752105203588
0.727.41002407605980.663998925076423
0.737.585086510979830.683728741530772
0.747.765374175656980.693579409990099
0.757.948367459048180.691123379566292
0.768.131298784501690.676593154047187
0.778.311769403241670.652816754697914
0.788.488259509208420.624367514813094
0.798.660387424040340.596173711600062
0.88.828898847919890.572292084484039
0.818.99552301505210.555252913339004
0.829.162947937110110.546900090561176
0.839.335161926789310.550181730315184
0.849.518223389634590.571266099815435
0.859.721151966542550.619811531723178
0.869.956184727966340.705558313772633
0.8710.23738108368050.830674790416188
0.8810.5769217826260.981819658079258
0.8910.97979041164781.12802108547487
0.911.43958060852111.22918728829272
0.9111.93952823046371.25595497701472
0.9212.46140270758191.21267732247625
0.9312.99967789143571.14699680259009
0.9413.57212450535621.12719185290217
0.9514.21818428880491.18467845985792
0.9614.99382361447531.28378268703837
0.9716.00447926830341.42454633706414
0.9817.49469678416081.79227017232136
0.9919.68256469465022.52965509241224

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -14.2515576708726 & 0.514021720809783 \tabularnewline
0.02 & -13.6713203787578 & 0.83549126795784 \tabularnewline
0.03 & -12.9012559617323 & 1.41375859574514 \tabularnewline
0.04 & -11.8800351950721 & 2.08527464303044 \tabularnewline
0.05 & -10.6163895642803 & 2.65596264897012 \tabularnewline
0.06 & -9.19900646526933 & 2.99305220383218 \tabularnewline
0.07 & -7.74499068349376 & 3.08459830686763 \tabularnewline
0.08 & -6.35002622029364 & 3.00686623581568 \tabularnewline
0.09 & -5.06666292127416 & 2.85227345647556 \tabularnewline
0.1 & -3.91011985616371 & 2.67854344469829 \tabularnewline
0.11 & -2.87577199619567 & 2.50189703456424 \tabularnewline
0.12 & -1.95408727939927 & 2.31693582979504 \tabularnewline
0.13 & -1.13774719545435 & 2.11596342750824 \tabularnewline
0.14 & -0.422519173910418 & 1.8972036891253 \tabularnewline
0.15 & 0.194621610060774 & 1.6653682715299 \tabularnewline
0.16 & 0.71764105668295 & 1.42991606955835 \tabularnewline
0.17 & 1.15282269782882 & 1.202825765808 \tabularnewline
0.18 & 1.50914940052964 & 0.996009447609975 \tabularnewline
0.19 & 1.79780248885602 & 0.818689128014135 \tabularnewline
0.2 & 2.03106986449897 & 0.675560388664272 \tabularnewline
0.21 & 2.22106652862464 & 0.566430188239426 \tabularnewline
0.22 & 2.3786574555043 & 0.487242534813888 \tabularnewline
0.23 & 2.51282494089687 & 0.432015396937815 \tabularnewline
0.24 & 2.63052288760842 & 0.394662556745794 \tabularnewline
0.25 & 2.73690707267848 & 0.370280208986995 \tabularnewline
0.26 & 2.83576651565108 & 0.355642114268446 \tabularnewline
0.27 & 2.92999036678518 & 0.349125433236821 \tabularnewline
0.28 & 3.02194913796673 & 0.350226275939115 \tabularnewline
0.29 & 3.11372159601358 & 0.358825209666279 \tabularnewline
0.3 & 3.20714986003804 & 0.374356314296437 \tabularnewline
0.31 & 3.30375243677135 & 0.395314028497705 \tabularnewline
0.32 & 3.40456172704363 & 0.419164873184267 \tabularnewline
0.33 & 3.50996894124555 & 0.442720726477445 \tabularnewline
0.34 & 3.61964894807933 & 0.462769067847658 \tabularnewline
0.35 & 3.73260384605549 & 0.47664836093398 \tabularnewline
0.36 & 3.84732040556194 & 0.482683935127926 \tabularnewline
0.37 & 3.96200013972062 & 0.480339143397264 \tabularnewline
0.38 & 4.07480436525656 & 0.470076977679406 \tabularnewline
0.39 & 4.18406312719531 & 0.453109139473503 \tabularnewline
0.4 & 4.28841927758735 & 0.431024673663318 \tabularnewline
0.41 & 4.38690499963814 & 0.405513918933108 \tabularnewline
0.42 & 4.47896642038109 & 0.378286638381627 \tabularnewline
0.43 & 4.5644573041986 & 0.35095450288061 \tabularnewline
0.44 & 4.64361684589305 & 0.325105835011601 \tabularnewline
0.45 & 4.71703565657227 & 0.302211848412693 \tabularnewline
0.46 & 4.78560525994218 & 0.283624857931041 \tabularnewline
0.47 & 4.85044430245863 & 0.270307342368904 \tabularnewline
0.48 & 4.9127998210596 & 0.262735211775722 \tabularnewline
0.49 & 4.97393161617623 & 0.260747122231892 \tabularnewline
0.5 & 5.03499772527083 & 0.263565544096877 \tabularnewline
0.51 & 5.09696490531647 & 0.270001744546778 \tabularnewline
0.52 & 5.16056688539021 & 0.278772142523782 \tabularnewline
0.53 & 5.22632393720702 & 0.288881492137766 \tabularnewline
0.54 & 5.29462148959212 & 0.299877985636709 \tabularnewline
0.55 & 5.36582701421495 & 0.311997324983932 \tabularnewline
0.56 & 5.44040894470307 & 0.326073601856448 \tabularnewline
0.57 & 5.51901493303116 & 0.343244125575324 \tabularnewline
0.58 & 5.60247349921888 & 0.364445189315161 \tabularnewline
0.59 & 5.69170363826061 & 0.389892576719181 \tabularnewline
0.6 & 5.78754707684155 & 0.418773389663691 \tabularnewline
0.61 & 5.89056913781855 & 0.449237159297544 \tabularnewline
0.62 & 6.0008955887421 & 0.478735812403637 \tabularnewline
0.63 & 6.11815415835469 & 0.504758262845271 \tabularnewline
0.64 & 6.24156510161396 & 0.525568825812229 \tabularnewline
0.65 & 6.37017823569577 & 0.540854829401232 \tabularnewline
0.66 & 6.50319721385632 & 0.552005824864556 \tabularnewline
0.67 & 6.64028600788599 & 0.561895907988576 \tabularnewline
0.68 & 6.78173890827434 & 0.573912377107884 \tabularnewline
0.69 & 6.92842631858469 & 0.590720242519202 \tabularnewline
0.7 & 7.08150000535657 & 0.612974660331071 \tabularnewline
0.71 & 7.24193069810335 & 0.638752105203588 \tabularnewline
0.72 & 7.4100240760598 & 0.663998925076423 \tabularnewline
0.73 & 7.58508651097983 & 0.683728741530772 \tabularnewline
0.74 & 7.76537417565698 & 0.693579409990099 \tabularnewline
0.75 & 7.94836745904818 & 0.691123379566292 \tabularnewline
0.76 & 8.13129878450169 & 0.676593154047187 \tabularnewline
0.77 & 8.31176940324167 & 0.652816754697914 \tabularnewline
0.78 & 8.48825950920842 & 0.624367514813094 \tabularnewline
0.79 & 8.66038742404034 & 0.596173711600062 \tabularnewline
0.8 & 8.82889884791989 & 0.572292084484039 \tabularnewline
0.81 & 8.9955230150521 & 0.555252913339004 \tabularnewline
0.82 & 9.16294793711011 & 0.546900090561176 \tabularnewline
0.83 & 9.33516192678931 & 0.550181730315184 \tabularnewline
0.84 & 9.51822338963459 & 0.571266099815435 \tabularnewline
0.85 & 9.72115196654255 & 0.619811531723178 \tabularnewline
0.86 & 9.95618472796634 & 0.705558313772633 \tabularnewline
0.87 & 10.2373810836805 & 0.830674790416188 \tabularnewline
0.88 & 10.576921782626 & 0.981819658079258 \tabularnewline
0.89 & 10.9797904116478 & 1.12802108547487 \tabularnewline
0.9 & 11.4395806085211 & 1.22918728829272 \tabularnewline
0.91 & 11.9395282304637 & 1.25595497701472 \tabularnewline
0.92 & 12.4614027075819 & 1.21267732247625 \tabularnewline
0.93 & 12.9996778914357 & 1.14699680259009 \tabularnewline
0.94 & 13.5721245053562 & 1.12719185290217 \tabularnewline
0.95 & 14.2181842888049 & 1.18467845985792 \tabularnewline
0.96 & 14.9938236144753 & 1.28378268703837 \tabularnewline
0.97 & 16.0044792683034 & 1.42454633706414 \tabularnewline
0.98 & 17.4946967841608 & 1.79227017232136 \tabularnewline
0.99 & 19.6825646946502 & 2.52965509241224 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163171&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]-14.2515576708726[/C][C]0.514021720809783[/C][/ROW]
[ROW][C]0.02[/C][C]-13.6713203787578[/C][C]0.83549126795784[/C][/ROW]
[ROW][C]0.03[/C][C]-12.9012559617323[/C][C]1.41375859574514[/C][/ROW]
[ROW][C]0.04[/C][C]-11.8800351950721[/C][C]2.08527464303044[/C][/ROW]
[ROW][C]0.05[/C][C]-10.6163895642803[/C][C]2.65596264897012[/C][/ROW]
[ROW][C]0.06[/C][C]-9.19900646526933[/C][C]2.99305220383218[/C][/ROW]
[ROW][C]0.07[/C][C]-7.74499068349376[/C][C]3.08459830686763[/C][/ROW]
[ROW][C]0.08[/C][C]-6.35002622029364[/C][C]3.00686623581568[/C][/ROW]
[ROW][C]0.09[/C][C]-5.06666292127416[/C][C]2.85227345647556[/C][/ROW]
[ROW][C]0.1[/C][C]-3.91011985616371[/C][C]2.67854344469829[/C][/ROW]
[ROW][C]0.11[/C][C]-2.87577199619567[/C][C]2.50189703456424[/C][/ROW]
[ROW][C]0.12[/C][C]-1.95408727939927[/C][C]2.31693582979504[/C][/ROW]
[ROW][C]0.13[/C][C]-1.13774719545435[/C][C]2.11596342750824[/C][/ROW]
[ROW][C]0.14[/C][C]-0.422519173910418[/C][C]1.8972036891253[/C][/ROW]
[ROW][C]0.15[/C][C]0.194621610060774[/C][C]1.6653682715299[/C][/ROW]
[ROW][C]0.16[/C][C]0.71764105668295[/C][C]1.42991606955835[/C][/ROW]
[ROW][C]0.17[/C][C]1.15282269782882[/C][C]1.202825765808[/C][/ROW]
[ROW][C]0.18[/C][C]1.50914940052964[/C][C]0.996009447609975[/C][/ROW]
[ROW][C]0.19[/C][C]1.79780248885602[/C][C]0.818689128014135[/C][/ROW]
[ROW][C]0.2[/C][C]2.03106986449897[/C][C]0.675560388664272[/C][/ROW]
[ROW][C]0.21[/C][C]2.22106652862464[/C][C]0.566430188239426[/C][/ROW]
[ROW][C]0.22[/C][C]2.3786574555043[/C][C]0.487242534813888[/C][/ROW]
[ROW][C]0.23[/C][C]2.51282494089687[/C][C]0.432015396937815[/C][/ROW]
[ROW][C]0.24[/C][C]2.63052288760842[/C][C]0.394662556745794[/C][/ROW]
[ROW][C]0.25[/C][C]2.73690707267848[/C][C]0.370280208986995[/C][/ROW]
[ROW][C]0.26[/C][C]2.83576651565108[/C][C]0.355642114268446[/C][/ROW]
[ROW][C]0.27[/C][C]2.92999036678518[/C][C]0.349125433236821[/C][/ROW]
[ROW][C]0.28[/C][C]3.02194913796673[/C][C]0.350226275939115[/C][/ROW]
[ROW][C]0.29[/C][C]3.11372159601358[/C][C]0.358825209666279[/C][/ROW]
[ROW][C]0.3[/C][C]3.20714986003804[/C][C]0.374356314296437[/C][/ROW]
[ROW][C]0.31[/C][C]3.30375243677135[/C][C]0.395314028497705[/C][/ROW]
[ROW][C]0.32[/C][C]3.40456172704363[/C][C]0.419164873184267[/C][/ROW]
[ROW][C]0.33[/C][C]3.50996894124555[/C][C]0.442720726477445[/C][/ROW]
[ROW][C]0.34[/C][C]3.61964894807933[/C][C]0.462769067847658[/C][/ROW]
[ROW][C]0.35[/C][C]3.73260384605549[/C][C]0.47664836093398[/C][/ROW]
[ROW][C]0.36[/C][C]3.84732040556194[/C][C]0.482683935127926[/C][/ROW]
[ROW][C]0.37[/C][C]3.96200013972062[/C][C]0.480339143397264[/C][/ROW]
[ROW][C]0.38[/C][C]4.07480436525656[/C][C]0.470076977679406[/C][/ROW]
[ROW][C]0.39[/C][C]4.18406312719531[/C][C]0.453109139473503[/C][/ROW]
[ROW][C]0.4[/C][C]4.28841927758735[/C][C]0.431024673663318[/C][/ROW]
[ROW][C]0.41[/C][C]4.38690499963814[/C][C]0.405513918933108[/C][/ROW]
[ROW][C]0.42[/C][C]4.47896642038109[/C][C]0.378286638381627[/C][/ROW]
[ROW][C]0.43[/C][C]4.5644573041986[/C][C]0.35095450288061[/C][/ROW]
[ROW][C]0.44[/C][C]4.64361684589305[/C][C]0.325105835011601[/C][/ROW]
[ROW][C]0.45[/C][C]4.71703565657227[/C][C]0.302211848412693[/C][/ROW]
[ROW][C]0.46[/C][C]4.78560525994218[/C][C]0.283624857931041[/C][/ROW]
[ROW][C]0.47[/C][C]4.85044430245863[/C][C]0.270307342368904[/C][/ROW]
[ROW][C]0.48[/C][C]4.9127998210596[/C][C]0.262735211775722[/C][/ROW]
[ROW][C]0.49[/C][C]4.97393161617623[/C][C]0.260747122231892[/C][/ROW]
[ROW][C]0.5[/C][C]5.03499772527083[/C][C]0.263565544096877[/C][/ROW]
[ROW][C]0.51[/C][C]5.09696490531647[/C][C]0.270001744546778[/C][/ROW]
[ROW][C]0.52[/C][C]5.16056688539021[/C][C]0.278772142523782[/C][/ROW]
[ROW][C]0.53[/C][C]5.22632393720702[/C][C]0.288881492137766[/C][/ROW]
[ROW][C]0.54[/C][C]5.29462148959212[/C][C]0.299877985636709[/C][/ROW]
[ROW][C]0.55[/C][C]5.36582701421495[/C][C]0.311997324983932[/C][/ROW]
[ROW][C]0.56[/C][C]5.44040894470307[/C][C]0.326073601856448[/C][/ROW]
[ROW][C]0.57[/C][C]5.51901493303116[/C][C]0.343244125575324[/C][/ROW]
[ROW][C]0.58[/C][C]5.60247349921888[/C][C]0.364445189315161[/C][/ROW]
[ROW][C]0.59[/C][C]5.69170363826061[/C][C]0.389892576719181[/C][/ROW]
[ROW][C]0.6[/C][C]5.78754707684155[/C][C]0.418773389663691[/C][/ROW]
[ROW][C]0.61[/C][C]5.89056913781855[/C][C]0.449237159297544[/C][/ROW]
[ROW][C]0.62[/C][C]6.0008955887421[/C][C]0.478735812403637[/C][/ROW]
[ROW][C]0.63[/C][C]6.11815415835469[/C][C]0.504758262845271[/C][/ROW]
[ROW][C]0.64[/C][C]6.24156510161396[/C][C]0.525568825812229[/C][/ROW]
[ROW][C]0.65[/C][C]6.37017823569577[/C][C]0.540854829401232[/C][/ROW]
[ROW][C]0.66[/C][C]6.50319721385632[/C][C]0.552005824864556[/C][/ROW]
[ROW][C]0.67[/C][C]6.64028600788599[/C][C]0.561895907988576[/C][/ROW]
[ROW][C]0.68[/C][C]6.78173890827434[/C][C]0.573912377107884[/C][/ROW]
[ROW][C]0.69[/C][C]6.92842631858469[/C][C]0.590720242519202[/C][/ROW]
[ROW][C]0.7[/C][C]7.08150000535657[/C][C]0.612974660331071[/C][/ROW]
[ROW][C]0.71[/C][C]7.24193069810335[/C][C]0.638752105203588[/C][/ROW]
[ROW][C]0.72[/C][C]7.4100240760598[/C][C]0.663998925076423[/C][/ROW]
[ROW][C]0.73[/C][C]7.58508651097983[/C][C]0.683728741530772[/C][/ROW]
[ROW][C]0.74[/C][C]7.76537417565698[/C][C]0.693579409990099[/C][/ROW]
[ROW][C]0.75[/C][C]7.94836745904818[/C][C]0.691123379566292[/C][/ROW]
[ROW][C]0.76[/C][C]8.13129878450169[/C][C]0.676593154047187[/C][/ROW]
[ROW][C]0.77[/C][C]8.31176940324167[/C][C]0.652816754697914[/C][/ROW]
[ROW][C]0.78[/C][C]8.48825950920842[/C][C]0.624367514813094[/C][/ROW]
[ROW][C]0.79[/C][C]8.66038742404034[/C][C]0.596173711600062[/C][/ROW]
[ROW][C]0.8[/C][C]8.82889884791989[/C][C]0.572292084484039[/C][/ROW]
[ROW][C]0.81[/C][C]8.9955230150521[/C][C]0.555252913339004[/C][/ROW]
[ROW][C]0.82[/C][C]9.16294793711011[/C][C]0.546900090561176[/C][/ROW]
[ROW][C]0.83[/C][C]9.33516192678931[/C][C]0.550181730315184[/C][/ROW]
[ROW][C]0.84[/C][C]9.51822338963459[/C][C]0.571266099815435[/C][/ROW]
[ROW][C]0.85[/C][C]9.72115196654255[/C][C]0.619811531723178[/C][/ROW]
[ROW][C]0.86[/C][C]9.95618472796634[/C][C]0.705558313772633[/C][/ROW]
[ROW][C]0.87[/C][C]10.2373810836805[/C][C]0.830674790416188[/C][/ROW]
[ROW][C]0.88[/C][C]10.576921782626[/C][C]0.981819658079258[/C][/ROW]
[ROW][C]0.89[/C][C]10.9797904116478[/C][C]1.12802108547487[/C][/ROW]
[ROW][C]0.9[/C][C]11.4395806085211[/C][C]1.22918728829272[/C][/ROW]
[ROW][C]0.91[/C][C]11.9395282304637[/C][C]1.25595497701472[/C][/ROW]
[ROW][C]0.92[/C][C]12.4614027075819[/C][C]1.21267732247625[/C][/ROW]
[ROW][C]0.93[/C][C]12.9996778914357[/C][C]1.14699680259009[/C][/ROW]
[ROW][C]0.94[/C][C]13.5721245053562[/C][C]1.12719185290217[/C][/ROW]
[ROW][C]0.95[/C][C]14.2181842888049[/C][C]1.18467845985792[/C][/ROW]
[ROW][C]0.96[/C][C]14.9938236144753[/C][C]1.28378268703837[/C][/ROW]
[ROW][C]0.97[/C][C]16.0044792683034[/C][C]1.42454633706414[/C][/ROW]
[ROW][C]0.98[/C][C]17.4946967841608[/C][C]1.79227017232136[/C][/ROW]
[ROW][C]0.99[/C][C]19.6825646946502[/C][C]2.52965509241224[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163171&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
0.01-14.25155767087260.514021720809783
0.02-13.67132037875780.83549126795784
0.03-12.90125596173231.41375859574514
0.04-11.88003519507212.08527464303044
0.05-10.61638956428032.65596264897012
0.06-9.199006465269332.99305220383218
0.07-7.744990683493763.08459830686763
0.08-6.350026220293643.00686623581568
0.09-5.066662921274162.85227345647556
0.1-3.910119856163712.67854344469829
0.11-2.875771996195672.50189703456424
0.12-1.954087279399272.31693582979504
0.13-1.137747195454352.11596342750824
0.14-0.4225191739104181.8972036891253
0.150.1946216100607741.6653682715299
0.160.717641056682951.42991606955835
0.171.152822697828821.202825765808
0.181.509149400529640.996009447609975
0.191.797802488856020.818689128014135
0.22.031069864498970.675560388664272
0.212.221066528624640.566430188239426
0.222.37865745550430.487242534813888
0.232.512824940896870.432015396937815
0.242.630522887608420.394662556745794
0.252.736907072678480.370280208986995
0.262.835766515651080.355642114268446
0.272.929990366785180.349125433236821
0.283.021949137966730.350226275939115
0.293.113721596013580.358825209666279
0.33.207149860038040.374356314296437
0.313.303752436771350.395314028497705
0.323.404561727043630.419164873184267
0.333.509968941245550.442720726477445
0.343.619648948079330.462769067847658
0.353.732603846055490.47664836093398
0.363.847320405561940.482683935127926
0.373.962000139720620.480339143397264
0.384.074804365256560.470076977679406
0.394.184063127195310.453109139473503
0.44.288419277587350.431024673663318
0.414.386904999638140.405513918933108
0.424.478966420381090.378286638381627
0.434.56445730419860.35095450288061
0.444.643616845893050.325105835011601
0.454.717035656572270.302211848412693
0.464.785605259942180.283624857931041
0.474.850444302458630.270307342368904
0.484.91279982105960.262735211775722
0.494.973931616176230.260747122231892
0.55.034997725270830.263565544096877
0.515.096964905316470.270001744546778
0.525.160566885390210.278772142523782
0.535.226323937207020.288881492137766
0.545.294621489592120.299877985636709
0.555.365827014214950.311997324983932
0.565.440408944703070.326073601856448
0.575.519014933031160.343244125575324
0.585.602473499218880.364445189315161
0.595.691703638260610.389892576719181
0.65.787547076841550.418773389663691
0.615.890569137818550.449237159297544
0.626.00089558874210.478735812403637
0.636.118154158354690.504758262845271
0.646.241565101613960.525568825812229
0.656.370178235695770.540854829401232
0.666.503197213856320.552005824864556
0.676.640286007885990.561895907988576
0.686.781738908274340.573912377107884
0.696.928426318584690.590720242519202
0.77.081500005356570.612974660331071
0.717.241930698103350.638752105203588
0.727.41002407605980.663998925076423
0.737.585086510979830.683728741530772
0.747.765374175656980.693579409990099
0.757.948367459048180.691123379566292
0.768.131298784501690.676593154047187
0.778.311769403241670.652816754697914
0.788.488259509208420.624367514813094
0.798.660387424040340.596173711600062
0.88.828898847919890.572292084484039
0.818.99552301505210.555252913339004
0.829.162947937110110.546900090561176
0.839.335161926789310.550181730315184
0.849.518223389634590.571266099815435
0.859.721151966542550.619811531723178
0.869.956184727966340.705558313772633
0.8710.23738108368050.830674790416188
0.8810.5769217826260.981819658079258
0.8910.97979041164781.12802108547487
0.911.43958060852111.22918728829272
0.9111.93952823046371.25595497701472
0.9212.46140270758191.21267732247625
0.9312.99967789143571.14699680259009
0.9413.57212450535621.12719185290217
0.9514.21818428880491.18467845985792
0.9614.99382361447531.28378268703837
0.9716.00447926830341.42454633706414
0.9817.49469678416081.79227017232136
0.9919.68256469465022.52965509241224


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')