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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 22 Oct 2007 12:53:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/22/cb1ofydkydy475r1193082660.htm/, Retrieved Mon, 06 May 2024 08:31:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1424, Retrieved Mon, 06 May 2024 08:31:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS2HDQPE
Estimated Impact190

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] [WS2 - Harrell-Dav...] [2007-10-22 19:53:45] [e51d7ab0e549b3dc96ac85a81d9bd259] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19,62
20,52
32,02
3,82
2,62
20,52
-24,48
6,42
9,62
6,62
3,72
-1,58
-9,58
-5,18
10,42
-4,88
-2,98
4,42
-11,08
-15,78
0,82
0,52
4,02
2,22
-7,08
-4,78
-0,48
-3,28
-5,58
-4,68
-17,88
-18,48
5,42
9,02
-3,08
2,72
-12,78
-9,18
7,32
-0,98
-2,08
7,62
6,02
-16,28
1,12
4,32
-3,18
5,52
-11,28
-9,78
1,22
-7,48
-4,58
13,42
-14,88
-12,68
9,72
-1,88
4,92
7,72
-4,98
-1,48
11,42
-2,38
2,92
14,82
-16,48
-11,28
10,72
10,72
7,22
5,92
-0,18
-6,78
5,42
-1,68
-0,08
4,12
-9,28
-4,58

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1424&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1424&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1424&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-22.67433990495494.47821645597657
0.02-20.40543014541172.82221130002432
0.03-18.63169124671581.81432312141133
0.04-17.44391032798931.46372056119831
0.05-16.59906280575891.45555285581225
0.06-15.89211558183331.58755195775738
0.07-15.22109173250011.75622333044953
0.08-14.55196672697611.89160183481150
0.09-13.88453627968641.9563569920297
0.1-13.23197944717131.94800268510320
0.11-12.60862523079241.88916242502205
0.12-12.02326701446841.81216894856496
0.13-11.47714053514461.74548258492498
0.14-10.96521045930411.70631950206881
0.15-10.47898062530071.69962597908692
0.16-10.00935773933861.72086271218012
0.17-9.548783048935681.75993030490572
0.18-9.092438065534841.80427806611432
0.19-8.638644082374091.84115815803290
0.2-8.188658217136721.85944380619260
0.21-7.746046865521821.85116223654684
0.22-7.31578727532631.81259933786387
0.23-6.903243420234991.74479113073504
0.24-6.51317161151311.6531702068311
0.25-6.148908398664011.54651608587537
0.26-5.811861839777431.43549065944390
0.27-5.50136818734381.33087119623232
0.28-5.21490383294641.24186676054506
0.29-4.948575961283381.17465286177227
0.3-4.697770563246111.13142359173221
0.31-4.457821521784871.11038456188125
0.32-4.224579255133911.10668227622219
0.33-3.994794742143801.11403484370637
0.34-3.766283342038731.12626757121049
0.35-3.537880458186481.13851153571054
0.36-3.309237767507391.14768427541271
0.37-3.080528706542131.15262326104595
0.38-2.852134369744061.15381121228958
0.39-2.62436927314381.15291996304197
0.4-2.397286270609961.15228724576588
0.41-2.170577346193411.15436694348187
0.42-1.943566929454321.16124647222604
0.43-1.71527976768121.17432919514577
0.44-1.484557342167341.19414096006012
0.45-1.250195034546591.22032785296357
0.46-1.011075568522471.25180373750282
0.47-0.7662810332401291.28699604477769
0.48-0.5151741573776591.32406593358585
0.49-0.2574475232010781.36112372264797
0.50.006854611190210021.39633073360539
0.510.277334399628911.42794083304486
0.520.5532515176435731.45430106725040
0.530.8335436608602281.47384177724051
0.541.116857175451301.48511437994618
0.551.401592201828081.48688087002689
0.561.685968019730031.47825842558100
0.571.968112444753391.45888424296516
0.582.246174365236481.42907522100989
0.592.518452026238331.38988996695913
0.62.783523316635151.34314497190177
0.613.040360105619561.29128562226600
0.623.288408236391681.23715780690028
0.633.527618893675021.18370010728120
0.643.758425316589381.13358908763307
0.653.98166957443711.08892896533712
0.664.198494716776401.05101205117375
0.674.410225067272591.02029603425009
0.684.618259367821170.996529777821068
0.694.823997057631760.97907785721967
0.75.028808444842590.967285943293692
0.715.234047991240160.96077940839266
0.725.441100164148330.95958493606903
0.735.651442057143410.964098575751673
0.745.866706455864880.97496166946038
0.756.088730600212920.992897783221048
0.766.319575593594771.01860700792956
0.776.561496938010941.05258737452817
0.786.816840617149431.09494811135993
0.797.087840227343051.14488193881576
0.87.376311166395111.20006666071480
0.817.683287119088431.25622101634855
0.828.008719931031941.3072806487959
0.838.351447080774061.34661195251228
0.848.709685501596551.36943619405165
0.859.082292966865411.37596488788686
0.869.470911327468441.37501704761188
0.879.882850531616151.3868851601248
0.8810.33419035114821.44398705586041
0.8910.85208275016251.58543229870494
0.911.47466676789621.84283147581733
0.9112.24652401860632.22192126636772
0.9213.20786345614742.68664287956113
0.9314.37845861938283.14713005012479
0.9415.74615189541823.46337092139643
0.9517.28658205077283.50026106708977
0.9619.05251248012663.29121788846780
0.9721.31785643596723.40596897015255
0.9824.54252690057955.04497358069715
0.9928.67548304726178.34561633684755

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -22.6743399049549 & 4.47821645597657 \tabularnewline
0.02 & -20.4054301454117 & 2.82221130002432 \tabularnewline
0.03 & -18.6316912467158 & 1.81432312141133 \tabularnewline
0.04 & -17.4439103279893 & 1.46372056119831 \tabularnewline
0.05 & -16.5990628057589 & 1.45555285581225 \tabularnewline
0.06 & -15.8921155818333 & 1.58755195775738 \tabularnewline
0.07 & -15.2210917325001 & 1.75622333044953 \tabularnewline
0.08 & -14.5519667269761 & 1.89160183481150 \tabularnewline
0.09 & -13.8845362796864 & 1.9563569920297 \tabularnewline
0.1 & -13.2319794471713 & 1.94800268510320 \tabularnewline
0.11 & -12.6086252307924 & 1.88916242502205 \tabularnewline
0.12 & -12.0232670144684 & 1.81216894856496 \tabularnewline
0.13 & -11.4771405351446 & 1.74548258492498 \tabularnewline
0.14 & -10.9652104593041 & 1.70631950206881 \tabularnewline
0.15 & -10.4789806253007 & 1.69962597908692 \tabularnewline
0.16 & -10.0093577393386 & 1.72086271218012 \tabularnewline
0.17 & -9.54878304893568 & 1.75993030490572 \tabularnewline
0.18 & -9.09243806553484 & 1.80427806611432 \tabularnewline
0.19 & -8.63864408237409 & 1.84115815803290 \tabularnewline
0.2 & -8.18865821713672 & 1.85944380619260 \tabularnewline
0.21 & -7.74604686552182 & 1.85116223654684 \tabularnewline
0.22 & -7.3157872753263 & 1.81259933786387 \tabularnewline
0.23 & -6.90324342023499 & 1.74479113073504 \tabularnewline
0.24 & -6.5131716115131 & 1.6531702068311 \tabularnewline
0.25 & -6.14890839866401 & 1.54651608587537 \tabularnewline
0.26 & -5.81186183977743 & 1.43549065944390 \tabularnewline
0.27 & -5.5013681873438 & 1.33087119623232 \tabularnewline
0.28 & -5.2149038329464 & 1.24186676054506 \tabularnewline
0.29 & -4.94857596128338 & 1.17465286177227 \tabularnewline
0.3 & -4.69777056324611 & 1.13142359173221 \tabularnewline
0.31 & -4.45782152178487 & 1.11038456188125 \tabularnewline
0.32 & -4.22457925513391 & 1.10668227622219 \tabularnewline
0.33 & -3.99479474214380 & 1.11403484370637 \tabularnewline
0.34 & -3.76628334203873 & 1.12626757121049 \tabularnewline
0.35 & -3.53788045818648 & 1.13851153571054 \tabularnewline
0.36 & -3.30923776750739 & 1.14768427541271 \tabularnewline
0.37 & -3.08052870654213 & 1.15262326104595 \tabularnewline
0.38 & -2.85213436974406 & 1.15381121228958 \tabularnewline
0.39 & -2.6243692731438 & 1.15291996304197 \tabularnewline
0.4 & -2.39728627060996 & 1.15228724576588 \tabularnewline
0.41 & -2.17057734619341 & 1.15436694348187 \tabularnewline
0.42 & -1.94356692945432 & 1.16124647222604 \tabularnewline
0.43 & -1.7152797676812 & 1.17432919514577 \tabularnewline
0.44 & -1.48455734216734 & 1.19414096006012 \tabularnewline
0.45 & -1.25019503454659 & 1.22032785296357 \tabularnewline
0.46 & -1.01107556852247 & 1.25180373750282 \tabularnewline
0.47 & -0.766281033240129 & 1.28699604477769 \tabularnewline
0.48 & -0.515174157377659 & 1.32406593358585 \tabularnewline
0.49 & -0.257447523201078 & 1.36112372264797 \tabularnewline
0.5 & 0.00685461119021002 & 1.39633073360539 \tabularnewline
0.51 & 0.27733439962891 & 1.42794083304486 \tabularnewline
0.52 & 0.553251517643573 & 1.45430106725040 \tabularnewline
0.53 & 0.833543660860228 & 1.47384177724051 \tabularnewline
0.54 & 1.11685717545130 & 1.48511437994618 \tabularnewline
0.55 & 1.40159220182808 & 1.48688087002689 \tabularnewline
0.56 & 1.68596801973003 & 1.47825842558100 \tabularnewline
0.57 & 1.96811244475339 & 1.45888424296516 \tabularnewline
0.58 & 2.24617436523648 & 1.42907522100989 \tabularnewline
0.59 & 2.51845202623833 & 1.38988996695913 \tabularnewline
0.6 & 2.78352331663515 & 1.34314497190177 \tabularnewline
0.61 & 3.04036010561956 & 1.29128562226600 \tabularnewline
0.62 & 3.28840823639168 & 1.23715780690028 \tabularnewline
0.63 & 3.52761889367502 & 1.18370010728120 \tabularnewline
0.64 & 3.75842531658938 & 1.13358908763307 \tabularnewline
0.65 & 3.9816695744371 & 1.08892896533712 \tabularnewline
0.66 & 4.19849471677640 & 1.05101205117375 \tabularnewline
0.67 & 4.41022506727259 & 1.02029603425009 \tabularnewline
0.68 & 4.61825936782117 & 0.996529777821068 \tabularnewline
0.69 & 4.82399705763176 & 0.97907785721967 \tabularnewline
0.7 & 5.02880844484259 & 0.967285943293692 \tabularnewline
0.71 & 5.23404799124016 & 0.96077940839266 \tabularnewline
0.72 & 5.44110016414833 & 0.95958493606903 \tabularnewline
0.73 & 5.65144205714341 & 0.964098575751673 \tabularnewline
0.74 & 5.86670645586488 & 0.97496166946038 \tabularnewline
0.75 & 6.08873060021292 & 0.992897783221048 \tabularnewline
0.76 & 6.31957559359477 & 1.01860700792956 \tabularnewline
0.77 & 6.56149693801094 & 1.05258737452817 \tabularnewline
0.78 & 6.81684061714943 & 1.09494811135993 \tabularnewline
0.79 & 7.08784022734305 & 1.14488193881576 \tabularnewline
0.8 & 7.37631116639511 & 1.20006666071480 \tabularnewline
0.81 & 7.68328711908843 & 1.25622101634855 \tabularnewline
0.82 & 8.00871993103194 & 1.3072806487959 \tabularnewline
0.83 & 8.35144708077406 & 1.34661195251228 \tabularnewline
0.84 & 8.70968550159655 & 1.36943619405165 \tabularnewline
0.85 & 9.08229296686541 & 1.37596488788686 \tabularnewline
0.86 & 9.47091132746844 & 1.37501704761188 \tabularnewline
0.87 & 9.88285053161615 & 1.3868851601248 \tabularnewline
0.88 & 10.3341903511482 & 1.44398705586041 \tabularnewline
0.89 & 10.8520827501625 & 1.58543229870494 \tabularnewline
0.9 & 11.4746667678962 & 1.84283147581733 \tabularnewline
0.91 & 12.2465240186063 & 2.22192126636772 \tabularnewline
0.92 & 13.2078634561474 & 2.68664287956113 \tabularnewline
0.93 & 14.3784586193828 & 3.14713005012479 \tabularnewline
0.94 & 15.7461518954182 & 3.46337092139643 \tabularnewline
0.95 & 17.2865820507728 & 3.50026106708977 \tabularnewline
0.96 & 19.0525124801266 & 3.29121788846780 \tabularnewline
0.97 & 21.3178564359672 & 3.40596897015255 \tabularnewline
0.98 & 24.5425269005795 & 5.04497358069715 \tabularnewline
0.99 & 28.6754830472617 & 8.34561633684755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1424&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]-22.6743399049549[/C][C]4.47821645597657[/C][/ROW]
[ROW][C]0.02[/C][C]-20.4054301454117[/C][C]2.82221130002432[/C][/ROW]
[ROW][C]0.03[/C][C]-18.6316912467158[/C][C]1.81432312141133[/C][/ROW]
[ROW][C]0.04[/C][C]-17.4439103279893[/C][C]1.46372056119831[/C][/ROW]
[ROW][C]0.05[/C][C]-16.5990628057589[/C][C]1.45555285581225[/C][/ROW]
[ROW][C]0.06[/C][C]-15.8921155818333[/C][C]1.58755195775738[/C][/ROW]
[ROW][C]0.07[/C][C]-15.2210917325001[/C][C]1.75622333044953[/C][/ROW]
[ROW][C]0.08[/C][C]-14.5519667269761[/C][C]1.89160183481150[/C][/ROW]
[ROW][C]0.09[/C][C]-13.8845362796864[/C][C]1.9563569920297[/C][/ROW]
[ROW][C]0.1[/C][C]-13.2319794471713[/C][C]1.94800268510320[/C][/ROW]
[ROW][C]0.11[/C][C]-12.6086252307924[/C][C]1.88916242502205[/C][/ROW]
[ROW][C]0.12[/C][C]-12.0232670144684[/C][C]1.81216894856496[/C][/ROW]
[ROW][C]0.13[/C][C]-11.4771405351446[/C][C]1.74548258492498[/C][/ROW]
[ROW][C]0.14[/C][C]-10.9652104593041[/C][C]1.70631950206881[/C][/ROW]
[ROW][C]0.15[/C][C]-10.4789806253007[/C][C]1.69962597908692[/C][/ROW]
[ROW][C]0.16[/C][C]-10.0093577393386[/C][C]1.72086271218012[/C][/ROW]
[ROW][C]0.17[/C][C]-9.54878304893568[/C][C]1.75993030490572[/C][/ROW]
[ROW][C]0.18[/C][C]-9.09243806553484[/C][C]1.80427806611432[/C][/ROW]
[ROW][C]0.19[/C][C]-8.63864408237409[/C][C]1.84115815803290[/C][/ROW]
[ROW][C]0.2[/C][C]-8.18865821713672[/C][C]1.85944380619260[/C][/ROW]
[ROW][C]0.21[/C][C]-7.74604686552182[/C][C]1.85116223654684[/C][/ROW]
[ROW][C]0.22[/C][C]-7.3157872753263[/C][C]1.81259933786387[/C][/ROW]
[ROW][C]0.23[/C][C]-6.90324342023499[/C][C]1.74479113073504[/C][/ROW]
[ROW][C]0.24[/C][C]-6.5131716115131[/C][C]1.6531702068311[/C][/ROW]
[ROW][C]0.25[/C][C]-6.14890839866401[/C][C]1.54651608587537[/C][/ROW]
[ROW][C]0.26[/C][C]-5.81186183977743[/C][C]1.43549065944390[/C][/ROW]
[ROW][C]0.27[/C][C]-5.5013681873438[/C][C]1.33087119623232[/C][/ROW]
[ROW][C]0.28[/C][C]-5.2149038329464[/C][C]1.24186676054506[/C][/ROW]
[ROW][C]0.29[/C][C]-4.94857596128338[/C][C]1.17465286177227[/C][/ROW]
[ROW][C]0.3[/C][C]-4.69777056324611[/C][C]1.13142359173221[/C][/ROW]
[ROW][C]0.31[/C][C]-4.45782152178487[/C][C]1.11038456188125[/C][/ROW]
[ROW][C]0.32[/C][C]-4.22457925513391[/C][C]1.10668227622219[/C][/ROW]
[ROW][C]0.33[/C][C]-3.99479474214380[/C][C]1.11403484370637[/C][/ROW]
[ROW][C]0.34[/C][C]-3.76628334203873[/C][C]1.12626757121049[/C][/ROW]
[ROW][C]0.35[/C][C]-3.53788045818648[/C][C]1.13851153571054[/C][/ROW]
[ROW][C]0.36[/C][C]-3.30923776750739[/C][C]1.14768427541271[/C][/ROW]
[ROW][C]0.37[/C][C]-3.08052870654213[/C][C]1.15262326104595[/C][/ROW]
[ROW][C]0.38[/C][C]-2.85213436974406[/C][C]1.15381121228958[/C][/ROW]
[ROW][C]0.39[/C][C]-2.6243692731438[/C][C]1.15291996304197[/C][/ROW]
[ROW][C]0.4[/C][C]-2.39728627060996[/C][C]1.15228724576588[/C][/ROW]
[ROW][C]0.41[/C][C]-2.17057734619341[/C][C]1.15436694348187[/C][/ROW]
[ROW][C]0.42[/C][C]-1.94356692945432[/C][C]1.16124647222604[/C][/ROW]
[ROW][C]0.43[/C][C]-1.7152797676812[/C][C]1.17432919514577[/C][/ROW]
[ROW][C]0.44[/C][C]-1.48455734216734[/C][C]1.19414096006012[/C][/ROW]
[ROW][C]0.45[/C][C]-1.25019503454659[/C][C]1.22032785296357[/C][/ROW]
[ROW][C]0.46[/C][C]-1.01107556852247[/C][C]1.25180373750282[/C][/ROW]
[ROW][C]0.47[/C][C]-0.766281033240129[/C][C]1.28699604477769[/C][/ROW]
[ROW][C]0.48[/C][C]-0.515174157377659[/C][C]1.32406593358585[/C][/ROW]
[ROW][C]0.49[/C][C]-0.257447523201078[/C][C]1.36112372264797[/C][/ROW]
[ROW][C]0.5[/C][C]0.00685461119021002[/C][C]1.39633073360539[/C][/ROW]
[ROW][C]0.51[/C][C]0.27733439962891[/C][C]1.42794083304486[/C][/ROW]
[ROW][C]0.52[/C][C]0.553251517643573[/C][C]1.45430106725040[/C][/ROW]
[ROW][C]0.53[/C][C]0.833543660860228[/C][C]1.47384177724051[/C][/ROW]
[ROW][C]0.54[/C][C]1.11685717545130[/C][C]1.48511437994618[/C][/ROW]
[ROW][C]0.55[/C][C]1.40159220182808[/C][C]1.48688087002689[/C][/ROW]
[ROW][C]0.56[/C][C]1.68596801973003[/C][C]1.47825842558100[/C][/ROW]
[ROW][C]0.57[/C][C]1.96811244475339[/C][C]1.45888424296516[/C][/ROW]
[ROW][C]0.58[/C][C]2.24617436523648[/C][C]1.42907522100989[/C][/ROW]
[ROW][C]0.59[/C][C]2.51845202623833[/C][C]1.38988996695913[/C][/ROW]
[ROW][C]0.6[/C][C]2.78352331663515[/C][C]1.34314497190177[/C][/ROW]
[ROW][C]0.61[/C][C]3.04036010561956[/C][C]1.29128562226600[/C][/ROW]
[ROW][C]0.62[/C][C]3.28840823639168[/C][C]1.23715780690028[/C][/ROW]
[ROW][C]0.63[/C][C]3.52761889367502[/C][C]1.18370010728120[/C][/ROW]
[ROW][C]0.64[/C][C]3.75842531658938[/C][C]1.13358908763307[/C][/ROW]
[ROW][C]0.65[/C][C]3.9816695744371[/C][C]1.08892896533712[/C][/ROW]
[ROW][C]0.66[/C][C]4.19849471677640[/C][C]1.05101205117375[/C][/ROW]
[ROW][C]0.67[/C][C]4.41022506727259[/C][C]1.02029603425009[/C][/ROW]
[ROW][C]0.68[/C][C]4.61825936782117[/C][C]0.996529777821068[/C][/ROW]
[ROW][C]0.69[/C][C]4.82399705763176[/C][C]0.97907785721967[/C][/ROW]
[ROW][C]0.7[/C][C]5.02880844484259[/C][C]0.967285943293692[/C][/ROW]
[ROW][C]0.71[/C][C]5.23404799124016[/C][C]0.96077940839266[/C][/ROW]
[ROW][C]0.72[/C][C]5.44110016414833[/C][C]0.95958493606903[/C][/ROW]
[ROW][C]0.73[/C][C]5.65144205714341[/C][C]0.964098575751673[/C][/ROW]
[ROW][C]0.74[/C][C]5.86670645586488[/C][C]0.97496166946038[/C][/ROW]
[ROW][C]0.75[/C][C]6.08873060021292[/C][C]0.992897783221048[/C][/ROW]
[ROW][C]0.76[/C][C]6.31957559359477[/C][C]1.01860700792956[/C][/ROW]
[ROW][C]0.77[/C][C]6.56149693801094[/C][C]1.05258737452817[/C][/ROW]
[ROW][C]0.78[/C][C]6.81684061714943[/C][C]1.09494811135993[/C][/ROW]
[ROW][C]0.79[/C][C]7.08784022734305[/C][C]1.14488193881576[/C][/ROW]
[ROW][C]0.8[/C][C]7.37631116639511[/C][C]1.20006666071480[/C][/ROW]
[ROW][C]0.81[/C][C]7.68328711908843[/C][C]1.25622101634855[/C][/ROW]
[ROW][C]0.82[/C][C]8.00871993103194[/C][C]1.3072806487959[/C][/ROW]
[ROW][C]0.83[/C][C]8.35144708077406[/C][C]1.34661195251228[/C][/ROW]
[ROW][C]0.84[/C][C]8.70968550159655[/C][C]1.36943619405165[/C][/ROW]
[ROW][C]0.85[/C][C]9.08229296686541[/C][C]1.37596488788686[/C][/ROW]
[ROW][C]0.86[/C][C]9.47091132746844[/C][C]1.37501704761188[/C][/ROW]
[ROW][C]0.87[/C][C]9.88285053161615[/C][C]1.3868851601248[/C][/ROW]
[ROW][C]0.88[/C][C]10.3341903511482[/C][C]1.44398705586041[/C][/ROW]
[ROW][C]0.89[/C][C]10.8520827501625[/C][C]1.58543229870494[/C][/ROW]
[ROW][C]0.9[/C][C]11.4746667678962[/C][C]1.84283147581733[/C][/ROW]
[ROW][C]0.91[/C][C]12.2465240186063[/C][C]2.22192126636772[/C][/ROW]
[ROW][C]0.92[/C][C]13.2078634561474[/C][C]2.68664287956113[/C][/ROW]
[ROW][C]0.93[/C][C]14.3784586193828[/C][C]3.14713005012479[/C][/ROW]
[ROW][C]0.94[/C][C]15.7461518954182[/C][C]3.46337092139643[/C][/ROW]
[ROW][C]0.95[/C][C]17.2865820507728[/C][C]3.50026106708977[/C][/ROW]
[ROW][C]0.96[/C][C]19.0525124801266[/C][C]3.29121788846780[/C][/ROW]
[ROW][C]0.97[/C][C]21.3178564359672[/C][C]3.40596897015255[/C][/ROW]
[ROW][C]0.98[/C][C]24.5425269005795[/C][C]5.04497358069715[/C][/ROW]
[ROW][C]0.99[/C][C]28.6754830472617[/C][C]8.34561633684755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1424&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1424&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
0.01-22.67433990495494.47821645597657
0.02-20.40543014541172.82221130002432
0.03-18.63169124671581.81432312141133
0.04-17.44391032798931.46372056119831
0.05-16.59906280575891.45555285581225
0.06-15.89211558183331.58755195775738
0.07-15.22109173250011.75622333044953
0.08-14.55196672697611.89160183481150
0.09-13.88453627968641.9563569920297
0.1-13.23197944717131.94800268510320
0.11-12.60862523079241.88916242502205
0.12-12.02326701446841.81216894856496
0.13-11.47714053514461.74548258492498
0.14-10.96521045930411.70631950206881
0.15-10.47898062530071.69962597908692
0.16-10.00935773933861.72086271218012
0.17-9.548783048935681.75993030490572
0.18-9.092438065534841.80427806611432
0.19-8.638644082374091.84115815803290
0.2-8.188658217136721.85944380619260
0.21-7.746046865521821.85116223654684
0.22-7.31578727532631.81259933786387
0.23-6.903243420234991.74479113073504
0.24-6.51317161151311.6531702068311
0.25-6.148908398664011.54651608587537
0.26-5.811861839777431.43549065944390
0.27-5.50136818734381.33087119623232
0.28-5.21490383294641.24186676054506
0.29-4.948575961283381.17465286177227
0.3-4.697770563246111.13142359173221
0.31-4.457821521784871.11038456188125
0.32-4.224579255133911.10668227622219
0.33-3.994794742143801.11403484370637
0.34-3.766283342038731.12626757121049
0.35-3.537880458186481.13851153571054
0.36-3.309237767507391.14768427541271
0.37-3.080528706542131.15262326104595
0.38-2.852134369744061.15381121228958
0.39-2.62436927314381.15291996304197
0.4-2.397286270609961.15228724576588
0.41-2.170577346193411.15436694348187
0.42-1.943566929454321.16124647222604
0.43-1.71527976768121.17432919514577
0.44-1.484557342167341.19414096006012
0.45-1.250195034546591.22032785296357
0.46-1.011075568522471.25180373750282
0.47-0.7662810332401291.28699604477769
0.48-0.5151741573776591.32406593358585
0.49-0.2574475232010781.36112372264797
0.50.006854611190210021.39633073360539
0.510.277334399628911.42794083304486
0.520.5532515176435731.45430106725040
0.530.8335436608602281.47384177724051
0.541.116857175451301.48511437994618
0.551.401592201828081.48688087002689
0.561.685968019730031.47825842558100
0.571.968112444753391.45888424296516
0.582.246174365236481.42907522100989
0.592.518452026238331.38988996695913
0.62.783523316635151.34314497190177
0.613.040360105619561.29128562226600
0.623.288408236391681.23715780690028
0.633.527618893675021.18370010728120
0.643.758425316589381.13358908763307
0.653.98166957443711.08892896533712
0.664.198494716776401.05101205117375
0.674.410225067272591.02029603425009
0.684.618259367821170.996529777821068
0.694.823997057631760.97907785721967
0.75.028808444842590.967285943293692
0.715.234047991240160.96077940839266
0.725.441100164148330.95958493606903
0.735.651442057143410.964098575751673
0.745.866706455864880.97496166946038
0.756.088730600212920.992897783221048
0.766.319575593594771.01860700792956
0.776.561496938010941.05258737452817
0.786.816840617149431.09494811135993
0.797.087840227343051.14488193881576
0.87.376311166395111.20006666071480
0.817.683287119088431.25622101634855
0.828.008719931031941.3072806487959
0.838.351447080774061.34661195251228
0.848.709685501596551.36943619405165
0.859.082292966865411.37596488788686
0.869.470911327468441.37501704761188
0.879.882850531616151.3868851601248
0.8810.33419035114821.44398705586041
0.8910.85208275016251.58543229870494
0.911.47466676789621.84283147581733
0.9112.24652401860632.22192126636772
0.9213.20786345614742.68664287956113
0.9314.37845861938283.14713005012479
0.9415.74615189541823.46337092139643
0.9517.28658205077283.50026106708977
0.9619.05251248012663.29121788846780
0.9721.31785643596723.40596897015255
0.9824.54252690057955.04497358069715
0.9928.67548304726178.34561633684755


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')