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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, 12 Jan 2016 13:57:59 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Jan/12/t1452607091vbufs0xwca4yu6l.htm/, Retrieved Fri, 03 May 2024 23:56:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=289729, Retrieved Fri, 03 May 2024 23:56:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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] [] [2016-01-12 13:57:59] [d1a83db1c928d515dd26931964d56abe] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.65
90.93
91.42
91.52
91.76
91.47
91.37
91.35
91.74
91.78
91.88
91.99
92.55
92.94
92.81
93.35
93.72
93.94
94.03
93.66
93.78
94.1
94.85
94.83
95.06
95.87
95.97
95.96
96.3
96.17
96.18
96.55
96.76
97.63
97.86
97.82
98.62
99.24
99.63
100.27
100.84
101.05
100.38
100.02
99.97
99.95
100
100.04
100.51
100.29
100.22
101.29
100.29
100.26
100.39
99.3
98.9
98.76
99.12
99.28

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289729&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289729&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289729&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.7310305522570.285457385303304
0.0290.85841106448710.293610975233124
0.0390.99863610662880.280832736320348
0.0491.12724280837360.245233618662229
0.0591.23387220298380.201866653589621
0.0691.3184990755240.167478128279216
0.0791.38623551326170.151227806894527
0.0891.44350675513350.152648633267462
0.0991.49598268253690.16586326757617
0.191.54787069049060.1861863922296
0.1191.60202155710320.211412013184162
0.1291.66036510538850.241629270984409
0.1391.72434663411570.277874657793459
0.1491.79520109057220.320987496549497
0.1591.87403136326350.370418107191531
0.1691.96173509283550.424564386968562
0.1792.05885729286840.480797678693617
0.1892.16544651419280.535795030256705
0.1992.28097270079310.585995755393039
0.292.40433621083840.628532260175717
0.2192.53396887724570.661465994880476
0.2292.66800601299020.683788363462379
0.2392.8044961134520.695664161640091
0.2492.94161257898080.69849079855447
0.2593.07783670038850.694318081439527
0.2693.2120901591210.68585469532645
0.2793.34380545261240.676196696880653
0.2893.47293199542060.668263544414345
0.2993.59988324339740.664752855041958
0.393.72543585415010.667316377738076
0.3193.85059576954380.677064025783247
0.3293.97644833471310.693804472879062
0.3394.10401019213460.716286543460097
0.3494.23409967759540.742696877749605
0.3594.36723981499640.770518588534382
0.3694.50360393417110.797241755782278
0.3794.64300879846910.820608973812075
0.3894.78495447911250.838692537741741
0.3994.92870469811560.850451360094487
0.495.07339662509340.855379383128561
0.4195.21816570988640.854031528360315
0.4295.36226946231670.847488154651695
0.4395.50519435588640.837913245493451
0.4495.64673221756160.827593837136723
0.4595.78701632840360.819128744570728
0.4695.92651254402970.814994914292875
0.4796.06596642049320.817103649958879
0.4896.20631286785530.826480021986003
0.4996.34855951339210.843081801421888
0.596.49365810993940.865999010586215
0.5196.64237955719220.893363817988543
0.5296.79520728794430.922610490312393
0.5396.95226109168870.951059546102528
0.5497.1132593633390.975618769849959
0.5597.27752291727050.994013095840966
0.5697.44401859841271.00417384775874
0.5797.61143658737991.00469344964732
0.5897.77829200296310.994969482160879
0.5997.94303940252610.974945364660679
0.698.10418810842220.945607235630783
0.6198.26040683019310.908228571951672
0.6298.41060761401720.864628649920464
0.6398.5540015307440.816889266909641
0.6498.69012153726420.767377625383875
0.6598.81881145236930.717918431728698
0.6698.94018377741970.670282511101492
0.6799.05455285694810.62574877714737
0.6899.16235315968830.584992277589846
0.6999.26405468658130.548067128975236
0.799.36008808154990.514390936292612
0.7199.45079049807820.483003923734143
0.7299.53637959244980.452952597390242
0.7399.61695762958640.423169593160641
0.7499.69254160777690.393093060866796
0.7599.76310993689330.362574114879718
0.7699.82865299903630.331884645136351
0.7799.88921494568160.301507212283542
0.7899.9449175924040.272187890570075
0.7999.99596347274990.244613090249153
0.8100.0426222823720.219194651331101
0.81100.0852108948280.1960559598107
0.82100.1240799481990.175227492669416
0.83100.1596188072070.156441711445884
0.84100.1922860918930.139657355757034
0.85100.222666799880.125089015995722
0.86100.2515515103620.113400187706884
0.87100.2800292168480.105715077481043
0.88100.3095814501210.103535356005765
0.89100.3421575857720.108334267489504
0.9100.3801961383920.121520703152751
0.91100.4265374854280.143526517036063
0.92100.4841658350640.173453501312388
0.93100.5557497419750.208226597482782
0.94100.6430357559370.242197655798187
0.95100.7462351662690.267562261043696
0.96100.8634593568470.277025092944738
0.97100.9898381433970.268238592937509
0.98101.1155596932670.249144755810463
0.99101.2232875782190.236199964860761

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.731030552257 & 0.285457385303304 \tabularnewline
0.02 & 90.8584110644871 & 0.293610975233124 \tabularnewline
0.03 & 90.9986361066288 & 0.280832736320348 \tabularnewline
0.04 & 91.1272428083736 & 0.245233618662229 \tabularnewline
0.05 & 91.2338722029838 & 0.201866653589621 \tabularnewline
0.06 & 91.318499075524 & 0.167478128279216 \tabularnewline
0.07 & 91.3862355132617 & 0.151227806894527 \tabularnewline
0.08 & 91.4435067551335 & 0.152648633267462 \tabularnewline
0.09 & 91.4959826825369 & 0.16586326757617 \tabularnewline
0.1 & 91.5478706904906 & 0.1861863922296 \tabularnewline
0.11 & 91.6020215571032 & 0.211412013184162 \tabularnewline
0.12 & 91.6603651053885 & 0.241629270984409 \tabularnewline
0.13 & 91.7243466341157 & 0.277874657793459 \tabularnewline
0.14 & 91.7952010905722 & 0.320987496549497 \tabularnewline
0.15 & 91.8740313632635 & 0.370418107191531 \tabularnewline
0.16 & 91.9617350928355 & 0.424564386968562 \tabularnewline
0.17 & 92.0588572928684 & 0.480797678693617 \tabularnewline
0.18 & 92.1654465141928 & 0.535795030256705 \tabularnewline
0.19 & 92.2809727007931 & 0.585995755393039 \tabularnewline
0.2 & 92.4043362108384 & 0.628532260175717 \tabularnewline
0.21 & 92.5339688772457 & 0.661465994880476 \tabularnewline
0.22 & 92.6680060129902 & 0.683788363462379 \tabularnewline
0.23 & 92.804496113452 & 0.695664161640091 \tabularnewline
0.24 & 92.9416125789808 & 0.69849079855447 \tabularnewline
0.25 & 93.0778367003885 & 0.694318081439527 \tabularnewline
0.26 & 93.212090159121 & 0.68585469532645 \tabularnewline
0.27 & 93.3438054526124 & 0.676196696880653 \tabularnewline
0.28 & 93.4729319954206 & 0.668263544414345 \tabularnewline
0.29 & 93.5998832433974 & 0.664752855041958 \tabularnewline
0.3 & 93.7254358541501 & 0.667316377738076 \tabularnewline
0.31 & 93.8505957695438 & 0.677064025783247 \tabularnewline
0.32 & 93.9764483347131 & 0.693804472879062 \tabularnewline
0.33 & 94.1040101921346 & 0.716286543460097 \tabularnewline
0.34 & 94.2340996775954 & 0.742696877749605 \tabularnewline
0.35 & 94.3672398149964 & 0.770518588534382 \tabularnewline
0.36 & 94.5036039341711 & 0.797241755782278 \tabularnewline
0.37 & 94.6430087984691 & 0.820608973812075 \tabularnewline
0.38 & 94.7849544791125 & 0.838692537741741 \tabularnewline
0.39 & 94.9287046981156 & 0.850451360094487 \tabularnewline
0.4 & 95.0733966250934 & 0.855379383128561 \tabularnewline
0.41 & 95.2181657098864 & 0.854031528360315 \tabularnewline
0.42 & 95.3622694623167 & 0.847488154651695 \tabularnewline
0.43 & 95.5051943558864 & 0.837913245493451 \tabularnewline
0.44 & 95.6467322175616 & 0.827593837136723 \tabularnewline
0.45 & 95.7870163284036 & 0.819128744570728 \tabularnewline
0.46 & 95.9265125440297 & 0.814994914292875 \tabularnewline
0.47 & 96.0659664204932 & 0.817103649958879 \tabularnewline
0.48 & 96.2063128678553 & 0.826480021986003 \tabularnewline
0.49 & 96.3485595133921 & 0.843081801421888 \tabularnewline
0.5 & 96.4936581099394 & 0.865999010586215 \tabularnewline
0.51 & 96.6423795571922 & 0.893363817988543 \tabularnewline
0.52 & 96.7952072879443 & 0.922610490312393 \tabularnewline
0.53 & 96.9522610916887 & 0.951059546102528 \tabularnewline
0.54 & 97.113259363339 & 0.975618769849959 \tabularnewline
0.55 & 97.2775229172705 & 0.994013095840966 \tabularnewline
0.56 & 97.4440185984127 & 1.00417384775874 \tabularnewline
0.57 & 97.6114365873799 & 1.00469344964732 \tabularnewline
0.58 & 97.7782920029631 & 0.994969482160879 \tabularnewline
0.59 & 97.9430394025261 & 0.974945364660679 \tabularnewline
0.6 & 98.1041881084222 & 0.945607235630783 \tabularnewline
0.61 & 98.2604068301931 & 0.908228571951672 \tabularnewline
0.62 & 98.4106076140172 & 0.864628649920464 \tabularnewline
0.63 & 98.554001530744 & 0.816889266909641 \tabularnewline
0.64 & 98.6901215372642 & 0.767377625383875 \tabularnewline
0.65 & 98.8188114523693 & 0.717918431728698 \tabularnewline
0.66 & 98.9401837774197 & 0.670282511101492 \tabularnewline
0.67 & 99.0545528569481 & 0.62574877714737 \tabularnewline
0.68 & 99.1623531596883 & 0.584992277589846 \tabularnewline
0.69 & 99.2640546865813 & 0.548067128975236 \tabularnewline
0.7 & 99.3600880815499 & 0.514390936292612 \tabularnewline
0.71 & 99.4507904980782 & 0.483003923734143 \tabularnewline
0.72 & 99.5363795924498 & 0.452952597390242 \tabularnewline
0.73 & 99.6169576295864 & 0.423169593160641 \tabularnewline
0.74 & 99.6925416077769 & 0.393093060866796 \tabularnewline
0.75 & 99.7631099368933 & 0.362574114879718 \tabularnewline
0.76 & 99.8286529990363 & 0.331884645136351 \tabularnewline
0.77 & 99.8892149456816 & 0.301507212283542 \tabularnewline
0.78 & 99.944917592404 & 0.272187890570075 \tabularnewline
0.79 & 99.9959634727499 & 0.244613090249153 \tabularnewline
0.8 & 100.042622282372 & 0.219194651331101 \tabularnewline
0.81 & 100.085210894828 & 0.1960559598107 \tabularnewline
0.82 & 100.124079948199 & 0.175227492669416 \tabularnewline
0.83 & 100.159618807207 & 0.156441711445884 \tabularnewline
0.84 & 100.192286091893 & 0.139657355757034 \tabularnewline
0.85 & 100.22266679988 & 0.125089015995722 \tabularnewline
0.86 & 100.251551510362 & 0.113400187706884 \tabularnewline
0.87 & 100.280029216848 & 0.105715077481043 \tabularnewline
0.88 & 100.309581450121 & 0.103535356005765 \tabularnewline
0.89 & 100.342157585772 & 0.108334267489504 \tabularnewline
0.9 & 100.380196138392 & 0.121520703152751 \tabularnewline
0.91 & 100.426537485428 & 0.143526517036063 \tabularnewline
0.92 & 100.484165835064 & 0.173453501312388 \tabularnewline
0.93 & 100.555749741975 & 0.208226597482782 \tabularnewline
0.94 & 100.643035755937 & 0.242197655798187 \tabularnewline
0.95 & 100.746235166269 & 0.267562261043696 \tabularnewline
0.96 & 100.863459356847 & 0.277025092944738 \tabularnewline
0.97 & 100.989838143397 & 0.268238592937509 \tabularnewline
0.98 & 101.115559693267 & 0.249144755810463 \tabularnewline
0.99 & 101.223287578219 & 0.236199964860761 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289729&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]90.731030552257[/C][C]0.285457385303304[/C][/ROW]
[ROW][C]0.02[/C][C]90.8584110644871[/C][C]0.293610975233124[/C][/ROW]
[ROW][C]0.03[/C][C]90.9986361066288[/C][C]0.280832736320348[/C][/ROW]
[ROW][C]0.04[/C][C]91.1272428083736[/C][C]0.245233618662229[/C][/ROW]
[ROW][C]0.05[/C][C]91.2338722029838[/C][C]0.201866653589621[/C][/ROW]
[ROW][C]0.06[/C][C]91.318499075524[/C][C]0.167478128279216[/C][/ROW]
[ROW][C]0.07[/C][C]91.3862355132617[/C][C]0.151227806894527[/C][/ROW]
[ROW][C]0.08[/C][C]91.4435067551335[/C][C]0.152648633267462[/C][/ROW]
[ROW][C]0.09[/C][C]91.4959826825369[/C][C]0.16586326757617[/C][/ROW]
[ROW][C]0.1[/C][C]91.5478706904906[/C][C]0.1861863922296[/C][/ROW]
[ROW][C]0.11[/C][C]91.6020215571032[/C][C]0.211412013184162[/C][/ROW]
[ROW][C]0.12[/C][C]91.6603651053885[/C][C]0.241629270984409[/C][/ROW]
[ROW][C]0.13[/C][C]91.7243466341157[/C][C]0.277874657793459[/C][/ROW]
[ROW][C]0.14[/C][C]91.7952010905722[/C][C]0.320987496549497[/C][/ROW]
[ROW][C]0.15[/C][C]91.8740313632635[/C][C]0.370418107191531[/C][/ROW]
[ROW][C]0.16[/C][C]91.9617350928355[/C][C]0.424564386968562[/C][/ROW]
[ROW][C]0.17[/C][C]92.0588572928684[/C][C]0.480797678693617[/C][/ROW]
[ROW][C]0.18[/C][C]92.1654465141928[/C][C]0.535795030256705[/C][/ROW]
[ROW][C]0.19[/C][C]92.2809727007931[/C][C]0.585995755393039[/C][/ROW]
[ROW][C]0.2[/C][C]92.4043362108384[/C][C]0.628532260175717[/C][/ROW]
[ROW][C]0.21[/C][C]92.5339688772457[/C][C]0.661465994880476[/C][/ROW]
[ROW][C]0.22[/C][C]92.6680060129902[/C][C]0.683788363462379[/C][/ROW]
[ROW][C]0.23[/C][C]92.804496113452[/C][C]0.695664161640091[/C][/ROW]
[ROW][C]0.24[/C][C]92.9416125789808[/C][C]0.69849079855447[/C][/ROW]
[ROW][C]0.25[/C][C]93.0778367003885[/C][C]0.694318081439527[/C][/ROW]
[ROW][C]0.26[/C][C]93.212090159121[/C][C]0.68585469532645[/C][/ROW]
[ROW][C]0.27[/C][C]93.3438054526124[/C][C]0.676196696880653[/C][/ROW]
[ROW][C]0.28[/C][C]93.4729319954206[/C][C]0.668263544414345[/C][/ROW]
[ROW][C]0.29[/C][C]93.5998832433974[/C][C]0.664752855041958[/C][/ROW]
[ROW][C]0.3[/C][C]93.7254358541501[/C][C]0.667316377738076[/C][/ROW]
[ROW][C]0.31[/C][C]93.8505957695438[/C][C]0.677064025783247[/C][/ROW]
[ROW][C]0.32[/C][C]93.9764483347131[/C][C]0.693804472879062[/C][/ROW]
[ROW][C]0.33[/C][C]94.1040101921346[/C][C]0.716286543460097[/C][/ROW]
[ROW][C]0.34[/C][C]94.2340996775954[/C][C]0.742696877749605[/C][/ROW]
[ROW][C]0.35[/C][C]94.3672398149964[/C][C]0.770518588534382[/C][/ROW]
[ROW][C]0.36[/C][C]94.5036039341711[/C][C]0.797241755782278[/C][/ROW]
[ROW][C]0.37[/C][C]94.6430087984691[/C][C]0.820608973812075[/C][/ROW]
[ROW][C]0.38[/C][C]94.7849544791125[/C][C]0.838692537741741[/C][/ROW]
[ROW][C]0.39[/C][C]94.9287046981156[/C][C]0.850451360094487[/C][/ROW]
[ROW][C]0.4[/C][C]95.0733966250934[/C][C]0.855379383128561[/C][/ROW]
[ROW][C]0.41[/C][C]95.2181657098864[/C][C]0.854031528360315[/C][/ROW]
[ROW][C]0.42[/C][C]95.3622694623167[/C][C]0.847488154651695[/C][/ROW]
[ROW][C]0.43[/C][C]95.5051943558864[/C][C]0.837913245493451[/C][/ROW]
[ROW][C]0.44[/C][C]95.6467322175616[/C][C]0.827593837136723[/C][/ROW]
[ROW][C]0.45[/C][C]95.7870163284036[/C][C]0.819128744570728[/C][/ROW]
[ROW][C]0.46[/C][C]95.9265125440297[/C][C]0.814994914292875[/C][/ROW]
[ROW][C]0.47[/C][C]96.0659664204932[/C][C]0.817103649958879[/C][/ROW]
[ROW][C]0.48[/C][C]96.2063128678553[/C][C]0.826480021986003[/C][/ROW]
[ROW][C]0.49[/C][C]96.3485595133921[/C][C]0.843081801421888[/C][/ROW]
[ROW][C]0.5[/C][C]96.4936581099394[/C][C]0.865999010586215[/C][/ROW]
[ROW][C]0.51[/C][C]96.6423795571922[/C][C]0.893363817988543[/C][/ROW]
[ROW][C]0.52[/C][C]96.7952072879443[/C][C]0.922610490312393[/C][/ROW]
[ROW][C]0.53[/C][C]96.9522610916887[/C][C]0.951059546102528[/C][/ROW]
[ROW][C]0.54[/C][C]97.113259363339[/C][C]0.975618769849959[/C][/ROW]
[ROW][C]0.55[/C][C]97.2775229172705[/C][C]0.994013095840966[/C][/ROW]
[ROW][C]0.56[/C][C]97.4440185984127[/C][C]1.00417384775874[/C][/ROW]
[ROW][C]0.57[/C][C]97.6114365873799[/C][C]1.00469344964732[/C][/ROW]
[ROW][C]0.58[/C][C]97.7782920029631[/C][C]0.994969482160879[/C][/ROW]
[ROW][C]0.59[/C][C]97.9430394025261[/C][C]0.974945364660679[/C][/ROW]
[ROW][C]0.6[/C][C]98.1041881084222[/C][C]0.945607235630783[/C][/ROW]
[ROW][C]0.61[/C][C]98.2604068301931[/C][C]0.908228571951672[/C][/ROW]
[ROW][C]0.62[/C][C]98.4106076140172[/C][C]0.864628649920464[/C][/ROW]
[ROW][C]0.63[/C][C]98.554001530744[/C][C]0.816889266909641[/C][/ROW]
[ROW][C]0.64[/C][C]98.6901215372642[/C][C]0.767377625383875[/C][/ROW]
[ROW][C]0.65[/C][C]98.8188114523693[/C][C]0.717918431728698[/C][/ROW]
[ROW][C]0.66[/C][C]98.9401837774197[/C][C]0.670282511101492[/C][/ROW]
[ROW][C]0.67[/C][C]99.0545528569481[/C][C]0.62574877714737[/C][/ROW]
[ROW][C]0.68[/C][C]99.1623531596883[/C][C]0.584992277589846[/C][/ROW]
[ROW][C]0.69[/C][C]99.2640546865813[/C][C]0.548067128975236[/C][/ROW]
[ROW][C]0.7[/C][C]99.3600880815499[/C][C]0.514390936292612[/C][/ROW]
[ROW][C]0.71[/C][C]99.4507904980782[/C][C]0.483003923734143[/C][/ROW]
[ROW][C]0.72[/C][C]99.5363795924498[/C][C]0.452952597390242[/C][/ROW]
[ROW][C]0.73[/C][C]99.6169576295864[/C][C]0.423169593160641[/C][/ROW]
[ROW][C]0.74[/C][C]99.6925416077769[/C][C]0.393093060866796[/C][/ROW]
[ROW][C]0.75[/C][C]99.7631099368933[/C][C]0.362574114879718[/C][/ROW]
[ROW][C]0.76[/C][C]99.8286529990363[/C][C]0.331884645136351[/C][/ROW]
[ROW][C]0.77[/C][C]99.8892149456816[/C][C]0.301507212283542[/C][/ROW]
[ROW][C]0.78[/C][C]99.944917592404[/C][C]0.272187890570075[/C][/ROW]
[ROW][C]0.79[/C][C]99.9959634727499[/C][C]0.244613090249153[/C][/ROW]
[ROW][C]0.8[/C][C]100.042622282372[/C][C]0.219194651331101[/C][/ROW]
[ROW][C]0.81[/C][C]100.085210894828[/C][C]0.1960559598107[/C][/ROW]
[ROW][C]0.82[/C][C]100.124079948199[/C][C]0.175227492669416[/C][/ROW]
[ROW][C]0.83[/C][C]100.159618807207[/C][C]0.156441711445884[/C][/ROW]
[ROW][C]0.84[/C][C]100.192286091893[/C][C]0.139657355757034[/C][/ROW]
[ROW][C]0.85[/C][C]100.22266679988[/C][C]0.125089015995722[/C][/ROW]
[ROW][C]0.86[/C][C]100.251551510362[/C][C]0.113400187706884[/C][/ROW]
[ROW][C]0.87[/C][C]100.280029216848[/C][C]0.105715077481043[/C][/ROW]
[ROW][C]0.88[/C][C]100.309581450121[/C][C]0.103535356005765[/C][/ROW]
[ROW][C]0.89[/C][C]100.342157585772[/C][C]0.108334267489504[/C][/ROW]
[ROW][C]0.9[/C][C]100.380196138392[/C][C]0.121520703152751[/C][/ROW]
[ROW][C]0.91[/C][C]100.426537485428[/C][C]0.143526517036063[/C][/ROW]
[ROW][C]0.92[/C][C]100.484165835064[/C][C]0.173453501312388[/C][/ROW]
[ROW][C]0.93[/C][C]100.555749741975[/C][C]0.208226597482782[/C][/ROW]
[ROW][C]0.94[/C][C]100.643035755937[/C][C]0.242197655798187[/C][/ROW]
[ROW][C]0.95[/C][C]100.746235166269[/C][C]0.267562261043696[/C][/ROW]
[ROW][C]0.96[/C][C]100.863459356847[/C][C]0.277025092944738[/C][/ROW]
[ROW][C]0.97[/C][C]100.989838143397[/C][C]0.268238592937509[/C][/ROW]
[ROW][C]0.98[/C][C]101.115559693267[/C][C]0.249144755810463[/C][/ROW]
[ROW][C]0.99[/C][C]101.223287578219[/C][C]0.236199964860761[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289729&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289729&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
0.0190.7310305522570.285457385303304
0.0290.85841106448710.293610975233124
0.0390.99863610662880.280832736320348
0.0491.12724280837360.245233618662229
0.0591.23387220298380.201866653589621
0.0691.3184990755240.167478128279216
0.0791.38623551326170.151227806894527
0.0891.44350675513350.152648633267462
0.0991.49598268253690.16586326757617
0.191.54787069049060.1861863922296
0.1191.60202155710320.211412013184162
0.1291.66036510538850.241629270984409
0.1391.72434663411570.277874657793459
0.1491.79520109057220.320987496549497
0.1591.87403136326350.370418107191531
0.1691.96173509283550.424564386968562
0.1792.05885729286840.480797678693617
0.1892.16544651419280.535795030256705
0.1992.28097270079310.585995755393039
0.292.40433621083840.628532260175717
0.2192.53396887724570.661465994880476
0.2292.66800601299020.683788363462379
0.2392.8044961134520.695664161640091
0.2492.94161257898080.69849079855447
0.2593.07783670038850.694318081439527
0.2693.2120901591210.68585469532645
0.2793.34380545261240.676196696880653
0.2893.47293199542060.668263544414345
0.2993.59988324339740.664752855041958
0.393.72543585415010.667316377738076
0.3193.85059576954380.677064025783247
0.3293.97644833471310.693804472879062
0.3394.10401019213460.716286543460097
0.3494.23409967759540.742696877749605
0.3594.36723981499640.770518588534382
0.3694.50360393417110.797241755782278
0.3794.64300879846910.820608973812075
0.3894.78495447911250.838692537741741
0.3994.92870469811560.850451360094487
0.495.07339662509340.855379383128561
0.4195.21816570988640.854031528360315
0.4295.36226946231670.847488154651695
0.4395.50519435588640.837913245493451
0.4495.64673221756160.827593837136723
0.4595.78701632840360.819128744570728
0.4695.92651254402970.814994914292875
0.4796.06596642049320.817103649958879
0.4896.20631286785530.826480021986003
0.4996.34855951339210.843081801421888
0.596.49365810993940.865999010586215
0.5196.64237955719220.893363817988543
0.5296.79520728794430.922610490312393
0.5396.95226109168870.951059546102528
0.5497.1132593633390.975618769849959
0.5597.27752291727050.994013095840966
0.5697.44401859841271.00417384775874
0.5797.61143658737991.00469344964732
0.5897.77829200296310.994969482160879
0.5997.94303940252610.974945364660679
0.698.10418810842220.945607235630783
0.6198.26040683019310.908228571951672
0.6298.41060761401720.864628649920464
0.6398.5540015307440.816889266909641
0.6498.69012153726420.767377625383875
0.6598.81881145236930.717918431728698
0.6698.94018377741970.670282511101492
0.6799.05455285694810.62574877714737
0.6899.16235315968830.584992277589846
0.6999.26405468658130.548067128975236
0.799.36008808154990.514390936292612
0.7199.45079049807820.483003923734143
0.7299.53637959244980.452952597390242
0.7399.61695762958640.423169593160641
0.7499.69254160777690.393093060866796
0.7599.76310993689330.362574114879718
0.7699.82865299903630.331884645136351
0.7799.88921494568160.301507212283542
0.7899.9449175924040.272187890570075
0.7999.99596347274990.244613090249153
0.8100.0426222823720.219194651331101
0.81100.0852108948280.1960559598107
0.82100.1240799481990.175227492669416
0.83100.1596188072070.156441711445884
0.84100.1922860918930.139657355757034
0.85100.222666799880.125089015995722
0.86100.2515515103620.113400187706884
0.87100.2800292168480.105715077481043
0.88100.3095814501210.103535356005765
0.89100.3421575857720.108334267489504
0.9100.3801961383920.121520703152751
0.91100.4265374854280.143526517036063
0.92100.4841658350640.173453501312388
0.93100.5557497419750.208226597482782
0.94100.6430357559370.242197655798187
0.95100.7462351662690.267562261043696
0.96100.8634593568470.277025092944738
0.97100.9898381433970.268238592937509
0.98101.1155596932670.249144755810463
0.99101.2232875782190.236199964860761


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')