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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 computationThu, 01 Mar 2012 08:23:38 -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/Mar/01/t133060836575rerr3ae5ww97w.htm/, Retrieved Fri, 03 May 2024 00:14:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163364, Retrieved Fri, 03 May 2024 00:14:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact121

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] [Harrell-Davis per...] [2012-03-01 13:23:38] [49d363860b48c50a69486db091fa88e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483
19.644
19.195
19.650
20.830
23.595
22.937
21.814
21.928
21.777
21.383
21.467
22.052
22.680
24.320
24.977
25.204
25.739
26.434
27.525
30.695
32.436
30.160
30.236
31.293
31.077
32.226
33.865
32.810
32.242
32.700
32.819
33.947
34.148
35.261
39.506
41.591
39.148
41.216
40.225

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=163364&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=163364&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163364&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
0.0115.589166582170.0322643461251723
0.0215.61065986776110.0613649009124321
0.0315.64366481061080.0940500865568661
0.0415.68742023104850.128657912668722
0.0515.74122706363590.166216946738288
0.0615.80488871552230.208072367825791
0.0715.87877221472510.255672552222865
0.0815.96368985222960.310506361646955
0.0916.06069328543790.373301302572094
0.116.17079888986370.443082616417245
0.1116.29466472774470.517033263566388
0.1216.43227726745290.590673686567306
0.1316.58272890753680.658648013723606
0.1416.74415367490940.715858281761416
0.1516.91384654935110.758293638751266
0.1617.08854250821460.783734580745501
0.1717.26479300295110.792203422541662
0.1817.4393601625470.785602509321464
0.1917.60955387776360.76750326362932
0.217.77345883833030.742216191045599
0.2117.93002885429590.714342620048042
0.2218.07905534395810.687944730924309
0.2318.22103890126050.666259573463181
0.2418.35700409195270.651321819846643
0.2518.48829824093520.644013647735952
0.2618.61640751521440.644342245392187
0.2718.74281165533480.651576730858196
0.2818.86888575268710.664797904749214
0.2918.99584625736360.683064145466918
0.319.12473068456750.705597531351577
0.3119.2563970198270.73172178612702
0.3219.39152946108130.76083974522523
0.3319.53064100237190.792264362621569
0.3419.67406907208990.825102233541103
0.3519.82196637765820.858232966555011
0.3619.97429376863540.89024473514788
0.3720.13082420703330.91991007634162
0.3820.29116634166650.945974705837221
0.3920.45481292969020.967606153961219
0.420.62121425189670.984658912927144
0.4120.78987094884230.997605607364134
0.4220.96043569807491.00781499704707
0.4321.13281001521361.0173370880394
0.4421.30722192974891.02872416366366
0.4521.48427253354021.04493688456402
0.4621.66494401375461.06863738424584
0.4721.85056785827661.10218175916322
0.4822.04275825087431.14708212687471
0.4922.24332098107881.20396845736026
0.522.4541513908231.27254917960006
0.5122.6771352810461.3518505309378
0.5222.91406417519511.44051885998106
0.5323.1665713616171.53699148683712
0.5423.43608875014521.63972204328915
0.5523.72381821187881.74728645913169
0.5624.03070629131291.85840130387457
0.5724.35740935892581.97165988398732
0.5824.70423824737482.08534180030993
0.5925.07107720600752.19712129579969
0.625.45728067910822.30382171423036
0.6125.86156113890112.40144639374342
0.6226.28188958941052.48512093947517
0.6326.71543496718322.54966020064989
0.6427.15856767111282.58994446022081
0.6527.60694522803022.60160573586425
0.6628.05568556957332.58172360442761
0.6728.49961799951242.52922535233732
0.6828.93358713168812.44519929128509
0.6929.35277449882842.33288355528329
0.729.75299893870682.19735326381509
0.7130.13096130985042.04496654094005
0.7230.48441051241421.8826997049562
0.7330.8122232561861.71759443577529
0.7431.1144055962541.55602108470981
0.7531.39203629438161.40359342535328
0.7631.64717843306431.26485995643067
0.7731.88278653232891.14357733321255
0.7832.10263384619591.04296791525042
0.7932.31128137166820.965943111805905
0.832.51410764337550.915308465736941
0.8132.71741394353950.893893350422562
0.8232.92860545762760.904787389573507
0.8333.15641441954180.951565231732135
0.8433.4110690133711.03867040438548
0.8533.70422822233941.17080956907405
0.8634.04842938188751.35052112189971
0.8734.45579166164961.5741688744309
0.8834.93585768062631.82741129181008
0.8935.49278032317382.08246525624578
0.936.12252471997152.29938955372579
0.9136.8111676998812.43313336180163
0.9237.53542953960392.4459410453075
0.9338.26597858734012.32172235019233
0.9438.97279728349922.0760041363777
0.9539.63047367976861.75330418182666
0.9640.22060288346451.40812793866968
0.9740.72941802266481.07677761505257
0.9841.14160338914710.769297866688827
0.9941.43566863122730.50994337413653

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.58916658217 & 0.0322643461251723 \tabularnewline
0.02 & 15.6106598677611 & 0.0613649009124321 \tabularnewline
0.03 & 15.6436648106108 & 0.0940500865568661 \tabularnewline
0.04 & 15.6874202310485 & 0.128657912668722 \tabularnewline
0.05 & 15.7412270636359 & 0.166216946738288 \tabularnewline
0.06 & 15.8048887155223 & 0.208072367825791 \tabularnewline
0.07 & 15.8787722147251 & 0.255672552222865 \tabularnewline
0.08 & 15.9636898522296 & 0.310506361646955 \tabularnewline
0.09 & 16.0606932854379 & 0.373301302572094 \tabularnewline
0.1 & 16.1707988898637 & 0.443082616417245 \tabularnewline
0.11 & 16.2946647277447 & 0.517033263566388 \tabularnewline
0.12 & 16.4322772674529 & 0.590673686567306 \tabularnewline
0.13 & 16.5827289075368 & 0.658648013723606 \tabularnewline
0.14 & 16.7441536749094 & 0.715858281761416 \tabularnewline
0.15 & 16.9138465493511 & 0.758293638751266 \tabularnewline
0.16 & 17.0885425082146 & 0.783734580745501 \tabularnewline
0.17 & 17.2647930029511 & 0.792203422541662 \tabularnewline
0.18 & 17.439360162547 & 0.785602509321464 \tabularnewline
0.19 & 17.6095538777636 & 0.76750326362932 \tabularnewline
0.2 & 17.7734588383303 & 0.742216191045599 \tabularnewline
0.21 & 17.9300288542959 & 0.714342620048042 \tabularnewline
0.22 & 18.0790553439581 & 0.687944730924309 \tabularnewline
0.23 & 18.2210389012605 & 0.666259573463181 \tabularnewline
0.24 & 18.3570040919527 & 0.651321819846643 \tabularnewline
0.25 & 18.4882982409352 & 0.644013647735952 \tabularnewline
0.26 & 18.6164075152144 & 0.644342245392187 \tabularnewline
0.27 & 18.7428116553348 & 0.651576730858196 \tabularnewline
0.28 & 18.8688857526871 & 0.664797904749214 \tabularnewline
0.29 & 18.9958462573636 & 0.683064145466918 \tabularnewline
0.3 & 19.1247306845675 & 0.705597531351577 \tabularnewline
0.31 & 19.256397019827 & 0.73172178612702 \tabularnewline
0.32 & 19.3915294610813 & 0.76083974522523 \tabularnewline
0.33 & 19.5306410023719 & 0.792264362621569 \tabularnewline
0.34 & 19.6740690720899 & 0.825102233541103 \tabularnewline
0.35 & 19.8219663776582 & 0.858232966555011 \tabularnewline
0.36 & 19.9742937686354 & 0.89024473514788 \tabularnewline
0.37 & 20.1308242070333 & 0.91991007634162 \tabularnewline
0.38 & 20.2911663416665 & 0.945974705837221 \tabularnewline
0.39 & 20.4548129296902 & 0.967606153961219 \tabularnewline
0.4 & 20.6212142518967 & 0.984658912927144 \tabularnewline
0.41 & 20.7898709488423 & 0.997605607364134 \tabularnewline
0.42 & 20.9604356980749 & 1.00781499704707 \tabularnewline
0.43 & 21.1328100152136 & 1.0173370880394 \tabularnewline
0.44 & 21.3072219297489 & 1.02872416366366 \tabularnewline
0.45 & 21.4842725335402 & 1.04493688456402 \tabularnewline
0.46 & 21.6649440137546 & 1.06863738424584 \tabularnewline
0.47 & 21.8505678582766 & 1.10218175916322 \tabularnewline
0.48 & 22.0427582508743 & 1.14708212687471 \tabularnewline
0.49 & 22.2433209810788 & 1.20396845736026 \tabularnewline
0.5 & 22.454151390823 & 1.27254917960006 \tabularnewline
0.51 & 22.677135281046 & 1.3518505309378 \tabularnewline
0.52 & 22.9140641751951 & 1.44051885998106 \tabularnewline
0.53 & 23.166571361617 & 1.53699148683712 \tabularnewline
0.54 & 23.4360887501452 & 1.63972204328915 \tabularnewline
0.55 & 23.7238182118788 & 1.74728645913169 \tabularnewline
0.56 & 24.0307062913129 & 1.85840130387457 \tabularnewline
0.57 & 24.3574093589258 & 1.97165988398732 \tabularnewline
0.58 & 24.7042382473748 & 2.08534180030993 \tabularnewline
0.59 & 25.0710772060075 & 2.19712129579969 \tabularnewline
0.6 & 25.4572806791082 & 2.30382171423036 \tabularnewline
0.61 & 25.8615611389011 & 2.40144639374342 \tabularnewline
0.62 & 26.2818895894105 & 2.48512093947517 \tabularnewline
0.63 & 26.7154349671832 & 2.54966020064989 \tabularnewline
0.64 & 27.1585676711128 & 2.58994446022081 \tabularnewline
0.65 & 27.6069452280302 & 2.60160573586425 \tabularnewline
0.66 & 28.0556855695733 & 2.58172360442761 \tabularnewline
0.67 & 28.4996179995124 & 2.52922535233732 \tabularnewline
0.68 & 28.9335871316881 & 2.44519929128509 \tabularnewline
0.69 & 29.3527744988284 & 2.33288355528329 \tabularnewline
0.7 & 29.7529989387068 & 2.19735326381509 \tabularnewline
0.71 & 30.1309613098504 & 2.04496654094005 \tabularnewline
0.72 & 30.4844105124142 & 1.8826997049562 \tabularnewline
0.73 & 30.812223256186 & 1.71759443577529 \tabularnewline
0.74 & 31.114405596254 & 1.55602108470981 \tabularnewline
0.75 & 31.3920362943816 & 1.40359342535328 \tabularnewline
0.76 & 31.6471784330643 & 1.26485995643067 \tabularnewline
0.77 & 31.8827865323289 & 1.14357733321255 \tabularnewline
0.78 & 32.1026338461959 & 1.04296791525042 \tabularnewline
0.79 & 32.3112813716682 & 0.965943111805905 \tabularnewline
0.8 & 32.5141076433755 & 0.915308465736941 \tabularnewline
0.81 & 32.7174139435395 & 0.893893350422562 \tabularnewline
0.82 & 32.9286054576276 & 0.904787389573507 \tabularnewline
0.83 & 33.1564144195418 & 0.951565231732135 \tabularnewline
0.84 & 33.411069013371 & 1.03867040438548 \tabularnewline
0.85 & 33.7042282223394 & 1.17080956907405 \tabularnewline
0.86 & 34.0484293818875 & 1.35052112189971 \tabularnewline
0.87 & 34.4557916616496 & 1.5741688744309 \tabularnewline
0.88 & 34.9358576806263 & 1.82741129181008 \tabularnewline
0.89 & 35.4927803231738 & 2.08246525624578 \tabularnewline
0.9 & 36.1225247199715 & 2.29938955372579 \tabularnewline
0.91 & 36.811167699881 & 2.43313336180163 \tabularnewline
0.92 & 37.5354295396039 & 2.4459410453075 \tabularnewline
0.93 & 38.2659785873401 & 2.32172235019233 \tabularnewline
0.94 & 38.9727972834992 & 2.0760041363777 \tabularnewline
0.95 & 39.6304736797686 & 1.75330418182666 \tabularnewline
0.96 & 40.2206028834645 & 1.40812793866968 \tabularnewline
0.97 & 40.7294180226648 & 1.07677761505257 \tabularnewline
0.98 & 41.1416033891471 & 0.769297866688827 \tabularnewline
0.99 & 41.4356686312273 & 0.50994337413653 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163364&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]15.58916658217[/C][C]0.0322643461251723[/C][/ROW]
[ROW][C]0.02[/C][C]15.6106598677611[/C][C]0.0613649009124321[/C][/ROW]
[ROW][C]0.03[/C][C]15.6436648106108[/C][C]0.0940500865568661[/C][/ROW]
[ROW][C]0.04[/C][C]15.6874202310485[/C][C]0.128657912668722[/C][/ROW]
[ROW][C]0.05[/C][C]15.7412270636359[/C][C]0.166216946738288[/C][/ROW]
[ROW][C]0.06[/C][C]15.8048887155223[/C][C]0.208072367825791[/C][/ROW]
[ROW][C]0.07[/C][C]15.8787722147251[/C][C]0.255672552222865[/C][/ROW]
[ROW][C]0.08[/C][C]15.9636898522296[/C][C]0.310506361646955[/C][/ROW]
[ROW][C]0.09[/C][C]16.0606932854379[/C][C]0.373301302572094[/C][/ROW]
[ROW][C]0.1[/C][C]16.1707988898637[/C][C]0.443082616417245[/C][/ROW]
[ROW][C]0.11[/C][C]16.2946647277447[/C][C]0.517033263566388[/C][/ROW]
[ROW][C]0.12[/C][C]16.4322772674529[/C][C]0.590673686567306[/C][/ROW]
[ROW][C]0.13[/C][C]16.5827289075368[/C][C]0.658648013723606[/C][/ROW]
[ROW][C]0.14[/C][C]16.7441536749094[/C][C]0.715858281761416[/C][/ROW]
[ROW][C]0.15[/C][C]16.9138465493511[/C][C]0.758293638751266[/C][/ROW]
[ROW][C]0.16[/C][C]17.0885425082146[/C][C]0.783734580745501[/C][/ROW]
[ROW][C]0.17[/C][C]17.2647930029511[/C][C]0.792203422541662[/C][/ROW]
[ROW][C]0.18[/C][C]17.439360162547[/C][C]0.785602509321464[/C][/ROW]
[ROW][C]0.19[/C][C]17.6095538777636[/C][C]0.76750326362932[/C][/ROW]
[ROW][C]0.2[/C][C]17.7734588383303[/C][C]0.742216191045599[/C][/ROW]
[ROW][C]0.21[/C][C]17.9300288542959[/C][C]0.714342620048042[/C][/ROW]
[ROW][C]0.22[/C][C]18.0790553439581[/C][C]0.687944730924309[/C][/ROW]
[ROW][C]0.23[/C][C]18.2210389012605[/C][C]0.666259573463181[/C][/ROW]
[ROW][C]0.24[/C][C]18.3570040919527[/C][C]0.651321819846643[/C][/ROW]
[ROW][C]0.25[/C][C]18.4882982409352[/C][C]0.644013647735952[/C][/ROW]
[ROW][C]0.26[/C][C]18.6164075152144[/C][C]0.644342245392187[/C][/ROW]
[ROW][C]0.27[/C][C]18.7428116553348[/C][C]0.651576730858196[/C][/ROW]
[ROW][C]0.28[/C][C]18.8688857526871[/C][C]0.664797904749214[/C][/ROW]
[ROW][C]0.29[/C][C]18.9958462573636[/C][C]0.683064145466918[/C][/ROW]
[ROW][C]0.3[/C][C]19.1247306845675[/C][C]0.705597531351577[/C][/ROW]
[ROW][C]0.31[/C][C]19.256397019827[/C][C]0.73172178612702[/C][/ROW]
[ROW][C]0.32[/C][C]19.3915294610813[/C][C]0.76083974522523[/C][/ROW]
[ROW][C]0.33[/C][C]19.5306410023719[/C][C]0.792264362621569[/C][/ROW]
[ROW][C]0.34[/C][C]19.6740690720899[/C][C]0.825102233541103[/C][/ROW]
[ROW][C]0.35[/C][C]19.8219663776582[/C][C]0.858232966555011[/C][/ROW]
[ROW][C]0.36[/C][C]19.9742937686354[/C][C]0.89024473514788[/C][/ROW]
[ROW][C]0.37[/C][C]20.1308242070333[/C][C]0.91991007634162[/C][/ROW]
[ROW][C]0.38[/C][C]20.2911663416665[/C][C]0.945974705837221[/C][/ROW]
[ROW][C]0.39[/C][C]20.4548129296902[/C][C]0.967606153961219[/C][/ROW]
[ROW][C]0.4[/C][C]20.6212142518967[/C][C]0.984658912927144[/C][/ROW]
[ROW][C]0.41[/C][C]20.7898709488423[/C][C]0.997605607364134[/C][/ROW]
[ROW][C]0.42[/C][C]20.9604356980749[/C][C]1.00781499704707[/C][/ROW]
[ROW][C]0.43[/C][C]21.1328100152136[/C][C]1.0173370880394[/C][/ROW]
[ROW][C]0.44[/C][C]21.3072219297489[/C][C]1.02872416366366[/C][/ROW]
[ROW][C]0.45[/C][C]21.4842725335402[/C][C]1.04493688456402[/C][/ROW]
[ROW][C]0.46[/C][C]21.6649440137546[/C][C]1.06863738424584[/C][/ROW]
[ROW][C]0.47[/C][C]21.8505678582766[/C][C]1.10218175916322[/C][/ROW]
[ROW][C]0.48[/C][C]22.0427582508743[/C][C]1.14708212687471[/C][/ROW]
[ROW][C]0.49[/C][C]22.2433209810788[/C][C]1.20396845736026[/C][/ROW]
[ROW][C]0.5[/C][C]22.454151390823[/C][C]1.27254917960006[/C][/ROW]
[ROW][C]0.51[/C][C]22.677135281046[/C][C]1.3518505309378[/C][/ROW]
[ROW][C]0.52[/C][C]22.9140641751951[/C][C]1.44051885998106[/C][/ROW]
[ROW][C]0.53[/C][C]23.166571361617[/C][C]1.53699148683712[/C][/ROW]
[ROW][C]0.54[/C][C]23.4360887501452[/C][C]1.63972204328915[/C][/ROW]
[ROW][C]0.55[/C][C]23.7238182118788[/C][C]1.74728645913169[/C][/ROW]
[ROW][C]0.56[/C][C]24.0307062913129[/C][C]1.85840130387457[/C][/ROW]
[ROW][C]0.57[/C][C]24.3574093589258[/C][C]1.97165988398732[/C][/ROW]
[ROW][C]0.58[/C][C]24.7042382473748[/C][C]2.08534180030993[/C][/ROW]
[ROW][C]0.59[/C][C]25.0710772060075[/C][C]2.19712129579969[/C][/ROW]
[ROW][C]0.6[/C][C]25.4572806791082[/C][C]2.30382171423036[/C][/ROW]
[ROW][C]0.61[/C][C]25.8615611389011[/C][C]2.40144639374342[/C][/ROW]
[ROW][C]0.62[/C][C]26.2818895894105[/C][C]2.48512093947517[/C][/ROW]
[ROW][C]0.63[/C][C]26.7154349671832[/C][C]2.54966020064989[/C][/ROW]
[ROW][C]0.64[/C][C]27.1585676711128[/C][C]2.58994446022081[/C][/ROW]
[ROW][C]0.65[/C][C]27.6069452280302[/C][C]2.60160573586425[/C][/ROW]
[ROW][C]0.66[/C][C]28.0556855695733[/C][C]2.58172360442761[/C][/ROW]
[ROW][C]0.67[/C][C]28.4996179995124[/C][C]2.52922535233732[/C][/ROW]
[ROW][C]0.68[/C][C]28.9335871316881[/C][C]2.44519929128509[/C][/ROW]
[ROW][C]0.69[/C][C]29.3527744988284[/C][C]2.33288355528329[/C][/ROW]
[ROW][C]0.7[/C][C]29.7529989387068[/C][C]2.19735326381509[/C][/ROW]
[ROW][C]0.71[/C][C]30.1309613098504[/C][C]2.04496654094005[/C][/ROW]
[ROW][C]0.72[/C][C]30.4844105124142[/C][C]1.8826997049562[/C][/ROW]
[ROW][C]0.73[/C][C]30.812223256186[/C][C]1.71759443577529[/C][/ROW]
[ROW][C]0.74[/C][C]31.114405596254[/C][C]1.55602108470981[/C][/ROW]
[ROW][C]0.75[/C][C]31.3920362943816[/C][C]1.40359342535328[/C][/ROW]
[ROW][C]0.76[/C][C]31.6471784330643[/C][C]1.26485995643067[/C][/ROW]
[ROW][C]0.77[/C][C]31.8827865323289[/C][C]1.14357733321255[/C][/ROW]
[ROW][C]0.78[/C][C]32.1026338461959[/C][C]1.04296791525042[/C][/ROW]
[ROW][C]0.79[/C][C]32.3112813716682[/C][C]0.965943111805905[/C][/ROW]
[ROW][C]0.8[/C][C]32.5141076433755[/C][C]0.915308465736941[/C][/ROW]
[ROW][C]0.81[/C][C]32.7174139435395[/C][C]0.893893350422562[/C][/ROW]
[ROW][C]0.82[/C][C]32.9286054576276[/C][C]0.904787389573507[/C][/ROW]
[ROW][C]0.83[/C][C]33.1564144195418[/C][C]0.951565231732135[/C][/ROW]
[ROW][C]0.84[/C][C]33.411069013371[/C][C]1.03867040438548[/C][/ROW]
[ROW][C]0.85[/C][C]33.7042282223394[/C][C]1.17080956907405[/C][/ROW]
[ROW][C]0.86[/C][C]34.0484293818875[/C][C]1.35052112189971[/C][/ROW]
[ROW][C]0.87[/C][C]34.4557916616496[/C][C]1.5741688744309[/C][/ROW]
[ROW][C]0.88[/C][C]34.9358576806263[/C][C]1.82741129181008[/C][/ROW]
[ROW][C]0.89[/C][C]35.4927803231738[/C][C]2.08246525624578[/C][/ROW]
[ROW][C]0.9[/C][C]36.1225247199715[/C][C]2.29938955372579[/C][/ROW]
[ROW][C]0.91[/C][C]36.811167699881[/C][C]2.43313336180163[/C][/ROW]
[ROW][C]0.92[/C][C]37.5354295396039[/C][C]2.4459410453075[/C][/ROW]
[ROW][C]0.93[/C][C]38.2659785873401[/C][C]2.32172235019233[/C][/ROW]
[ROW][C]0.94[/C][C]38.9727972834992[/C][C]2.0760041363777[/C][/ROW]
[ROW][C]0.95[/C][C]39.6304736797686[/C][C]1.75330418182666[/C][/ROW]
[ROW][C]0.96[/C][C]40.2206028834645[/C][C]1.40812793866968[/C][/ROW]
[ROW][C]0.97[/C][C]40.7294180226648[/C][C]1.07677761505257[/C][/ROW]
[ROW][C]0.98[/C][C]41.1416033891471[/C][C]0.769297866688827[/C][/ROW]
[ROW][C]0.99[/C][C]41.4356686312273[/C][C]0.50994337413653[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163364&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163364&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
0.0115.589166582170.0322643461251723
0.0215.61065986776110.0613649009124321
0.0315.64366481061080.0940500865568661
0.0415.68742023104850.128657912668722
0.0515.74122706363590.166216946738288
0.0615.80488871552230.208072367825791
0.0715.87877221472510.255672552222865
0.0815.96368985222960.310506361646955
0.0916.06069328543790.373301302572094
0.116.17079888986370.443082616417245
0.1116.29466472774470.517033263566388
0.1216.43227726745290.590673686567306
0.1316.58272890753680.658648013723606
0.1416.74415367490940.715858281761416
0.1516.91384654935110.758293638751266
0.1617.08854250821460.783734580745501
0.1717.26479300295110.792203422541662
0.1817.4393601625470.785602509321464
0.1917.60955387776360.76750326362932
0.217.77345883833030.742216191045599
0.2117.93002885429590.714342620048042
0.2218.07905534395810.687944730924309
0.2318.22103890126050.666259573463181
0.2418.35700409195270.651321819846643
0.2518.48829824093520.644013647735952
0.2618.61640751521440.644342245392187
0.2718.74281165533480.651576730858196
0.2818.86888575268710.664797904749214
0.2918.99584625736360.683064145466918
0.319.12473068456750.705597531351577
0.3119.2563970198270.73172178612702
0.3219.39152946108130.76083974522523
0.3319.53064100237190.792264362621569
0.3419.67406907208990.825102233541103
0.3519.82196637765820.858232966555011
0.3619.97429376863540.89024473514788
0.3720.13082420703330.91991007634162
0.3820.29116634166650.945974705837221
0.3920.45481292969020.967606153961219
0.420.62121425189670.984658912927144
0.4120.78987094884230.997605607364134
0.4220.96043569807491.00781499704707
0.4321.13281001521361.0173370880394
0.4421.30722192974891.02872416366366
0.4521.48427253354021.04493688456402
0.4621.66494401375461.06863738424584
0.4721.85056785827661.10218175916322
0.4822.04275825087431.14708212687471
0.4922.24332098107881.20396845736026
0.522.4541513908231.27254917960006
0.5122.6771352810461.3518505309378
0.5222.91406417519511.44051885998106
0.5323.1665713616171.53699148683712
0.5423.43608875014521.63972204328915
0.5523.72381821187881.74728645913169
0.5624.03070629131291.85840130387457
0.5724.35740935892581.97165988398732
0.5824.70423824737482.08534180030993
0.5925.07107720600752.19712129579969
0.625.45728067910822.30382171423036
0.6125.86156113890112.40144639374342
0.6226.28188958941052.48512093947517
0.6326.71543496718322.54966020064989
0.6427.15856767111282.58994446022081
0.6527.60694522803022.60160573586425
0.6628.05568556957332.58172360442761
0.6728.49961799951242.52922535233732
0.6828.93358713168812.44519929128509
0.6929.35277449882842.33288355528329
0.729.75299893870682.19735326381509
0.7130.13096130985042.04496654094005
0.7230.48441051241421.8826997049562
0.7330.8122232561861.71759443577529
0.7431.1144055962541.55602108470981
0.7531.39203629438161.40359342535328
0.7631.64717843306431.26485995643067
0.7731.88278653232891.14357733321255
0.7832.10263384619591.04296791525042
0.7932.31128137166820.965943111805905
0.832.51410764337550.915308465736941
0.8132.71741394353950.893893350422562
0.8232.92860545762760.904787389573507
0.8333.15641441954180.951565231732135
0.8433.4110690133711.03867040438548
0.8533.70422822233941.17080956907405
0.8634.04842938188751.35052112189971
0.8734.45579166164961.5741688744309
0.8834.93585768062631.82741129181008
0.8935.49278032317382.08246525624578
0.936.12252471997152.29938955372579
0.9136.8111676998812.43313336180163
0.9237.53542953960392.4459410453075
0.9338.26597858734012.32172235019233
0.9438.97279728349922.0760041363777
0.9539.63047367976861.75330418182666
0.9640.22060288346451.40812793866968
0.9740.72941802266481.07677761505257
0.9841.14160338914710.769297866688827
0.9941.43566863122730.50994337413653


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')