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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, 18 Oct 2012 08:59:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/18/t1350565205n7iuqceb9v9rx44.htm/, Retrieved Mon, 29 Apr 2024 07:20:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=179591, Retrieved Mon, 29 Apr 2024 07:20:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

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] [percentielen harr...] [2012-10-18 12:59:06] [87986ea810528d5717aba44b63d5427b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,48
103,93
103,89
104,4
104,79
104,77
105,13
105,26
104,96
104,75
105,01
105,1
103,48
103,93
103,89
104,4
104,79
106,12
106,57
106,44
106,54
107,1
108,1
108,4
108,84
109,62
110,42
110,67
111,66
112,28
112,87
112,18
112,36
112,16
111,49
111,25
111,36
111,74
111,1
111,33
111,25
111,04
110,97
111,31
111,02
111,07
111,36
111,54
112,05
112,52
112,94
113,33
113,78
113,77
113,82
113,89
114,25
114,41
114,55
115
115,66
116,33
116,91
117,2
117,59
117,95
118,09
117,99
118,31
118,49
118,96
119,01

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=179591&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=179591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=179591&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
0.01103.5130292423930.0977809511433642
0.02103.5851874168150.18544049105467
0.03103.682325155720.21411749609659
0.04103.7850226484720.207252381358937
0.05103.8829735990860.207909450892995
0.06103.9764173347910.233699967874056
0.07104.0700459296520.27259054894396
0.08104.167270060090.307522347246275
0.09104.2680902116320.328293999893218
0.1104.3698805834240.332684999790285
0.11104.4692523706360.323930414033215
0.12104.5636701681070.309026497950152
0.13104.6523126753460.296030972148087
0.14104.7362130977510.292565309470385
0.15104.8179308029940.304413806967001
0.16104.9010155311870.334798344661608
0.17104.9894504066520.38392298845551
0.18105.0871753575590.449949121486911
0.19105.1977307694760.530257388752792
0.2105.324027011950.621609030345218
0.21105.4682302168640.720605353260064
0.22105.6317470720710.824074733831792
0.23105.81528410980.929369808202918
0.24106.0189489298641.03492137760788
0.25106.2423556552841.13877063988919
0.26106.484699399641.23947211156827
0.27106.7447767800431.33527373136156
0.28107.0209493212861.42359884456999
0.29107.3110681175661.50089795224435
0.3107.6123944120071.56338983966102
0.31107.9215566716791.60697019866568
0.32108.2345787493631.62764784256297
0.33108.5469981051661.62301218468495
0.34108.8540726510561.59159281272961
0.35109.1510551249741.5339400885356
0.36109.4334995762661.45234019725656
0.37109.6975581776941.35041181039032
0.38109.9402286370431.23346944779677
0.39110.159521627881.10721777157326
0.4110.3545313897490.977685893855313
0.41110.5254079663830.85072513225453
0.42110.67324356510.730839738365371
0.43110.7998959242410.622276496675796
0.44110.9077769791050.527416628217175
0.45110.9996352126760.447899703507269
0.46111.0783555980970.384248116064473
0.47111.1467935155820.336057415394526
0.48111.2076503867350.302438350670195
0.49111.2633908866430.282045620015434
0.5111.3161958823990.273112291852769
0.51111.3679424068270.27387339312381
0.52111.4202019376030.282308801121094
0.53111.4742502981240.296739673602495
0.54111.5310855216450.315458409775982
0.55111.5914528420270.337025681919312
0.56111.6558776287340.360153487574072
0.57111.7247070442260.383810807934843
0.58111.7981594913810.407684366481515
0.59111.8763780957150.431333428017966
0.6111.9594814940310.454981140042374
0.61112.0476032114970.478813821143691
0.62112.140910915680.503378278367391
0.63112.2395994332520.528758186585377
0.64112.3438565461630.555372171434949
0.65112.4538074409250.582284273104419
0.66112.5694507916150.608784654911602
0.67112.690604951620.633529843808218
0.68112.816884800480.654884491321963
0.69112.9477271840520.671871726682569
0.7113.0824753273140.683516680084096
0.71113.2205210152670.690176146815742
0.72113.3614897463340.693269668579723
0.73113.5054411419140.695169756489113
0.74113.6530473488470.699616901339015
0.75113.8057081168920.710544286495681
0.76113.9655638567470.732077147941316
0.77114.1353775643550.767033300363991
0.78114.3182726775260.816669791294289
0.79114.517335885230.879596172421084
0.8114.7351200424990.951659053867367
0.81114.9731094870271.02650509859578
0.82115.2312327214791.09597248919411
0.83115.5075181612011.15105514664624
0.84115.7979803280571.18323164274703
0.85116.0967936884951.18611961863823
0.86116.3967643740461.15607528705448
0.87116.6900592505911.09332051608613
0.88116.9691124198281.00185552415862
0.89117.2276094286630.888994995384982
0.9117.461444056480.764533009397563
0.91117.6695354816930.640136670453313
0.92117.8543655260980.527793543960234
0.93118.0220229454780.439099562288692
0.94118.1813915523450.382620875408145
0.95118.3419094288660.359524616025074
0.96118.5093474394720.356893644509894
0.97118.6800822048940.343557783687514
0.98118.837063569550.280225853034756
0.99118.9536852040.157571618129603

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.513029242393 & 0.0977809511433642 \tabularnewline
0.02 & 103.585187416815 & 0.18544049105467 \tabularnewline
0.03 & 103.68232515572 & 0.21411749609659 \tabularnewline
0.04 & 103.785022648472 & 0.207252381358937 \tabularnewline
0.05 & 103.882973599086 & 0.207909450892995 \tabularnewline
0.06 & 103.976417334791 & 0.233699967874056 \tabularnewline
0.07 & 104.070045929652 & 0.27259054894396 \tabularnewline
0.08 & 104.16727006009 & 0.307522347246275 \tabularnewline
0.09 & 104.268090211632 & 0.328293999893218 \tabularnewline
0.1 & 104.369880583424 & 0.332684999790285 \tabularnewline
0.11 & 104.469252370636 & 0.323930414033215 \tabularnewline
0.12 & 104.563670168107 & 0.309026497950152 \tabularnewline
0.13 & 104.652312675346 & 0.296030972148087 \tabularnewline
0.14 & 104.736213097751 & 0.292565309470385 \tabularnewline
0.15 & 104.817930802994 & 0.304413806967001 \tabularnewline
0.16 & 104.901015531187 & 0.334798344661608 \tabularnewline
0.17 & 104.989450406652 & 0.38392298845551 \tabularnewline
0.18 & 105.087175357559 & 0.449949121486911 \tabularnewline
0.19 & 105.197730769476 & 0.530257388752792 \tabularnewline
0.2 & 105.32402701195 & 0.621609030345218 \tabularnewline
0.21 & 105.468230216864 & 0.720605353260064 \tabularnewline
0.22 & 105.631747072071 & 0.824074733831792 \tabularnewline
0.23 & 105.8152841098 & 0.929369808202918 \tabularnewline
0.24 & 106.018948929864 & 1.03492137760788 \tabularnewline
0.25 & 106.242355655284 & 1.13877063988919 \tabularnewline
0.26 & 106.48469939964 & 1.23947211156827 \tabularnewline
0.27 & 106.744776780043 & 1.33527373136156 \tabularnewline
0.28 & 107.020949321286 & 1.42359884456999 \tabularnewline
0.29 & 107.311068117566 & 1.50089795224435 \tabularnewline
0.3 & 107.612394412007 & 1.56338983966102 \tabularnewline
0.31 & 107.921556671679 & 1.60697019866568 \tabularnewline
0.32 & 108.234578749363 & 1.62764784256297 \tabularnewline
0.33 & 108.546998105166 & 1.62301218468495 \tabularnewline
0.34 & 108.854072651056 & 1.59159281272961 \tabularnewline
0.35 & 109.151055124974 & 1.5339400885356 \tabularnewline
0.36 & 109.433499576266 & 1.45234019725656 \tabularnewline
0.37 & 109.697558177694 & 1.35041181039032 \tabularnewline
0.38 & 109.940228637043 & 1.23346944779677 \tabularnewline
0.39 & 110.15952162788 & 1.10721777157326 \tabularnewline
0.4 & 110.354531389749 & 0.977685893855313 \tabularnewline
0.41 & 110.525407966383 & 0.85072513225453 \tabularnewline
0.42 & 110.6732435651 & 0.730839738365371 \tabularnewline
0.43 & 110.799895924241 & 0.622276496675796 \tabularnewline
0.44 & 110.907776979105 & 0.527416628217175 \tabularnewline
0.45 & 110.999635212676 & 0.447899703507269 \tabularnewline
0.46 & 111.078355598097 & 0.384248116064473 \tabularnewline
0.47 & 111.146793515582 & 0.336057415394526 \tabularnewline
0.48 & 111.207650386735 & 0.302438350670195 \tabularnewline
0.49 & 111.263390886643 & 0.282045620015434 \tabularnewline
0.5 & 111.316195882399 & 0.273112291852769 \tabularnewline
0.51 & 111.367942406827 & 0.27387339312381 \tabularnewline
0.52 & 111.420201937603 & 0.282308801121094 \tabularnewline
0.53 & 111.474250298124 & 0.296739673602495 \tabularnewline
0.54 & 111.531085521645 & 0.315458409775982 \tabularnewline
0.55 & 111.591452842027 & 0.337025681919312 \tabularnewline
0.56 & 111.655877628734 & 0.360153487574072 \tabularnewline
0.57 & 111.724707044226 & 0.383810807934843 \tabularnewline
0.58 & 111.798159491381 & 0.407684366481515 \tabularnewline
0.59 & 111.876378095715 & 0.431333428017966 \tabularnewline
0.6 & 111.959481494031 & 0.454981140042374 \tabularnewline
0.61 & 112.047603211497 & 0.478813821143691 \tabularnewline
0.62 & 112.14091091568 & 0.503378278367391 \tabularnewline
0.63 & 112.239599433252 & 0.528758186585377 \tabularnewline
0.64 & 112.343856546163 & 0.555372171434949 \tabularnewline
0.65 & 112.453807440925 & 0.582284273104419 \tabularnewline
0.66 & 112.569450791615 & 0.608784654911602 \tabularnewline
0.67 & 112.69060495162 & 0.633529843808218 \tabularnewline
0.68 & 112.81688480048 & 0.654884491321963 \tabularnewline
0.69 & 112.947727184052 & 0.671871726682569 \tabularnewline
0.7 & 113.082475327314 & 0.683516680084096 \tabularnewline
0.71 & 113.220521015267 & 0.690176146815742 \tabularnewline
0.72 & 113.361489746334 & 0.693269668579723 \tabularnewline
0.73 & 113.505441141914 & 0.695169756489113 \tabularnewline
0.74 & 113.653047348847 & 0.699616901339015 \tabularnewline
0.75 & 113.805708116892 & 0.710544286495681 \tabularnewline
0.76 & 113.965563856747 & 0.732077147941316 \tabularnewline
0.77 & 114.135377564355 & 0.767033300363991 \tabularnewline
0.78 & 114.318272677526 & 0.816669791294289 \tabularnewline
0.79 & 114.51733588523 & 0.879596172421084 \tabularnewline
0.8 & 114.735120042499 & 0.951659053867367 \tabularnewline
0.81 & 114.973109487027 & 1.02650509859578 \tabularnewline
0.82 & 115.231232721479 & 1.09597248919411 \tabularnewline
0.83 & 115.507518161201 & 1.15105514664624 \tabularnewline
0.84 & 115.797980328057 & 1.18323164274703 \tabularnewline
0.85 & 116.096793688495 & 1.18611961863823 \tabularnewline
0.86 & 116.396764374046 & 1.15607528705448 \tabularnewline
0.87 & 116.690059250591 & 1.09332051608613 \tabularnewline
0.88 & 116.969112419828 & 1.00185552415862 \tabularnewline
0.89 & 117.227609428663 & 0.888994995384982 \tabularnewline
0.9 & 117.46144405648 & 0.764533009397563 \tabularnewline
0.91 & 117.669535481693 & 0.640136670453313 \tabularnewline
0.92 & 117.854365526098 & 0.527793543960234 \tabularnewline
0.93 & 118.022022945478 & 0.439099562288692 \tabularnewline
0.94 & 118.181391552345 & 0.382620875408145 \tabularnewline
0.95 & 118.341909428866 & 0.359524616025074 \tabularnewline
0.96 & 118.509347439472 & 0.356893644509894 \tabularnewline
0.97 & 118.680082204894 & 0.343557783687514 \tabularnewline
0.98 & 118.83706356955 & 0.280225853034756 \tabularnewline
0.99 & 118.953685204 & 0.157571618129603 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=179591&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]103.513029242393[/C][C]0.0977809511433642[/C][/ROW]
[ROW][C]0.02[/C][C]103.585187416815[/C][C]0.18544049105467[/C][/ROW]
[ROW][C]0.03[/C][C]103.68232515572[/C][C]0.21411749609659[/C][/ROW]
[ROW][C]0.04[/C][C]103.785022648472[/C][C]0.207252381358937[/C][/ROW]
[ROW][C]0.05[/C][C]103.882973599086[/C][C]0.207909450892995[/C][/ROW]
[ROW][C]0.06[/C][C]103.976417334791[/C][C]0.233699967874056[/C][/ROW]
[ROW][C]0.07[/C][C]104.070045929652[/C][C]0.27259054894396[/C][/ROW]
[ROW][C]0.08[/C][C]104.16727006009[/C][C]0.307522347246275[/C][/ROW]
[ROW][C]0.09[/C][C]104.268090211632[/C][C]0.328293999893218[/C][/ROW]
[ROW][C]0.1[/C][C]104.369880583424[/C][C]0.332684999790285[/C][/ROW]
[ROW][C]0.11[/C][C]104.469252370636[/C][C]0.323930414033215[/C][/ROW]
[ROW][C]0.12[/C][C]104.563670168107[/C][C]0.309026497950152[/C][/ROW]
[ROW][C]0.13[/C][C]104.652312675346[/C][C]0.296030972148087[/C][/ROW]
[ROW][C]0.14[/C][C]104.736213097751[/C][C]0.292565309470385[/C][/ROW]
[ROW][C]0.15[/C][C]104.817930802994[/C][C]0.304413806967001[/C][/ROW]
[ROW][C]0.16[/C][C]104.901015531187[/C][C]0.334798344661608[/C][/ROW]
[ROW][C]0.17[/C][C]104.989450406652[/C][C]0.38392298845551[/C][/ROW]
[ROW][C]0.18[/C][C]105.087175357559[/C][C]0.449949121486911[/C][/ROW]
[ROW][C]0.19[/C][C]105.197730769476[/C][C]0.530257388752792[/C][/ROW]
[ROW][C]0.2[/C][C]105.32402701195[/C][C]0.621609030345218[/C][/ROW]
[ROW][C]0.21[/C][C]105.468230216864[/C][C]0.720605353260064[/C][/ROW]
[ROW][C]0.22[/C][C]105.631747072071[/C][C]0.824074733831792[/C][/ROW]
[ROW][C]0.23[/C][C]105.8152841098[/C][C]0.929369808202918[/C][/ROW]
[ROW][C]0.24[/C][C]106.018948929864[/C][C]1.03492137760788[/C][/ROW]
[ROW][C]0.25[/C][C]106.242355655284[/C][C]1.13877063988919[/C][/ROW]
[ROW][C]0.26[/C][C]106.48469939964[/C][C]1.23947211156827[/C][/ROW]
[ROW][C]0.27[/C][C]106.744776780043[/C][C]1.33527373136156[/C][/ROW]
[ROW][C]0.28[/C][C]107.020949321286[/C][C]1.42359884456999[/C][/ROW]
[ROW][C]0.29[/C][C]107.311068117566[/C][C]1.50089795224435[/C][/ROW]
[ROW][C]0.3[/C][C]107.612394412007[/C][C]1.56338983966102[/C][/ROW]
[ROW][C]0.31[/C][C]107.921556671679[/C][C]1.60697019866568[/C][/ROW]
[ROW][C]0.32[/C][C]108.234578749363[/C][C]1.62764784256297[/C][/ROW]
[ROW][C]0.33[/C][C]108.546998105166[/C][C]1.62301218468495[/C][/ROW]
[ROW][C]0.34[/C][C]108.854072651056[/C][C]1.59159281272961[/C][/ROW]
[ROW][C]0.35[/C][C]109.151055124974[/C][C]1.5339400885356[/C][/ROW]
[ROW][C]0.36[/C][C]109.433499576266[/C][C]1.45234019725656[/C][/ROW]
[ROW][C]0.37[/C][C]109.697558177694[/C][C]1.35041181039032[/C][/ROW]
[ROW][C]0.38[/C][C]109.940228637043[/C][C]1.23346944779677[/C][/ROW]
[ROW][C]0.39[/C][C]110.15952162788[/C][C]1.10721777157326[/C][/ROW]
[ROW][C]0.4[/C][C]110.354531389749[/C][C]0.977685893855313[/C][/ROW]
[ROW][C]0.41[/C][C]110.525407966383[/C][C]0.85072513225453[/C][/ROW]
[ROW][C]0.42[/C][C]110.6732435651[/C][C]0.730839738365371[/C][/ROW]
[ROW][C]0.43[/C][C]110.799895924241[/C][C]0.622276496675796[/C][/ROW]
[ROW][C]0.44[/C][C]110.907776979105[/C][C]0.527416628217175[/C][/ROW]
[ROW][C]0.45[/C][C]110.999635212676[/C][C]0.447899703507269[/C][/ROW]
[ROW][C]0.46[/C][C]111.078355598097[/C][C]0.384248116064473[/C][/ROW]
[ROW][C]0.47[/C][C]111.146793515582[/C][C]0.336057415394526[/C][/ROW]
[ROW][C]0.48[/C][C]111.207650386735[/C][C]0.302438350670195[/C][/ROW]
[ROW][C]0.49[/C][C]111.263390886643[/C][C]0.282045620015434[/C][/ROW]
[ROW][C]0.5[/C][C]111.316195882399[/C][C]0.273112291852769[/C][/ROW]
[ROW][C]0.51[/C][C]111.367942406827[/C][C]0.27387339312381[/C][/ROW]
[ROW][C]0.52[/C][C]111.420201937603[/C][C]0.282308801121094[/C][/ROW]
[ROW][C]0.53[/C][C]111.474250298124[/C][C]0.296739673602495[/C][/ROW]
[ROW][C]0.54[/C][C]111.531085521645[/C][C]0.315458409775982[/C][/ROW]
[ROW][C]0.55[/C][C]111.591452842027[/C][C]0.337025681919312[/C][/ROW]
[ROW][C]0.56[/C][C]111.655877628734[/C][C]0.360153487574072[/C][/ROW]
[ROW][C]0.57[/C][C]111.724707044226[/C][C]0.383810807934843[/C][/ROW]
[ROW][C]0.58[/C][C]111.798159491381[/C][C]0.407684366481515[/C][/ROW]
[ROW][C]0.59[/C][C]111.876378095715[/C][C]0.431333428017966[/C][/ROW]
[ROW][C]0.6[/C][C]111.959481494031[/C][C]0.454981140042374[/C][/ROW]
[ROW][C]0.61[/C][C]112.047603211497[/C][C]0.478813821143691[/C][/ROW]
[ROW][C]0.62[/C][C]112.14091091568[/C][C]0.503378278367391[/C][/ROW]
[ROW][C]0.63[/C][C]112.239599433252[/C][C]0.528758186585377[/C][/ROW]
[ROW][C]0.64[/C][C]112.343856546163[/C][C]0.555372171434949[/C][/ROW]
[ROW][C]0.65[/C][C]112.453807440925[/C][C]0.582284273104419[/C][/ROW]
[ROW][C]0.66[/C][C]112.569450791615[/C][C]0.608784654911602[/C][/ROW]
[ROW][C]0.67[/C][C]112.69060495162[/C][C]0.633529843808218[/C][/ROW]
[ROW][C]0.68[/C][C]112.81688480048[/C][C]0.654884491321963[/C][/ROW]
[ROW][C]0.69[/C][C]112.947727184052[/C][C]0.671871726682569[/C][/ROW]
[ROW][C]0.7[/C][C]113.082475327314[/C][C]0.683516680084096[/C][/ROW]
[ROW][C]0.71[/C][C]113.220521015267[/C][C]0.690176146815742[/C][/ROW]
[ROW][C]0.72[/C][C]113.361489746334[/C][C]0.693269668579723[/C][/ROW]
[ROW][C]0.73[/C][C]113.505441141914[/C][C]0.695169756489113[/C][/ROW]
[ROW][C]0.74[/C][C]113.653047348847[/C][C]0.699616901339015[/C][/ROW]
[ROW][C]0.75[/C][C]113.805708116892[/C][C]0.710544286495681[/C][/ROW]
[ROW][C]0.76[/C][C]113.965563856747[/C][C]0.732077147941316[/C][/ROW]
[ROW][C]0.77[/C][C]114.135377564355[/C][C]0.767033300363991[/C][/ROW]
[ROW][C]0.78[/C][C]114.318272677526[/C][C]0.816669791294289[/C][/ROW]
[ROW][C]0.79[/C][C]114.51733588523[/C][C]0.879596172421084[/C][/ROW]
[ROW][C]0.8[/C][C]114.735120042499[/C][C]0.951659053867367[/C][/ROW]
[ROW][C]0.81[/C][C]114.973109487027[/C][C]1.02650509859578[/C][/ROW]
[ROW][C]0.82[/C][C]115.231232721479[/C][C]1.09597248919411[/C][/ROW]
[ROW][C]0.83[/C][C]115.507518161201[/C][C]1.15105514664624[/C][/ROW]
[ROW][C]0.84[/C][C]115.797980328057[/C][C]1.18323164274703[/C][/ROW]
[ROW][C]0.85[/C][C]116.096793688495[/C][C]1.18611961863823[/C][/ROW]
[ROW][C]0.86[/C][C]116.396764374046[/C][C]1.15607528705448[/C][/ROW]
[ROW][C]0.87[/C][C]116.690059250591[/C][C]1.09332051608613[/C][/ROW]
[ROW][C]0.88[/C][C]116.969112419828[/C][C]1.00185552415862[/C][/ROW]
[ROW][C]0.89[/C][C]117.227609428663[/C][C]0.888994995384982[/C][/ROW]
[ROW][C]0.9[/C][C]117.46144405648[/C][C]0.764533009397563[/C][/ROW]
[ROW][C]0.91[/C][C]117.669535481693[/C][C]0.640136670453313[/C][/ROW]
[ROW][C]0.92[/C][C]117.854365526098[/C][C]0.527793543960234[/C][/ROW]
[ROW][C]0.93[/C][C]118.022022945478[/C][C]0.439099562288692[/C][/ROW]
[ROW][C]0.94[/C][C]118.181391552345[/C][C]0.382620875408145[/C][/ROW]
[ROW][C]0.95[/C][C]118.341909428866[/C][C]0.359524616025074[/C][/ROW]
[ROW][C]0.96[/C][C]118.509347439472[/C][C]0.356893644509894[/C][/ROW]
[ROW][C]0.97[/C][C]118.680082204894[/C][C]0.343557783687514[/C][/ROW]
[ROW][C]0.98[/C][C]118.83706356955[/C][C]0.280225853034756[/C][/ROW]
[ROW][C]0.99[/C][C]118.953685204[/C][C]0.157571618129603[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=179591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=179591&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
0.01103.5130292423930.0977809511433642
0.02103.5851874168150.18544049105467
0.03103.682325155720.21411749609659
0.04103.7850226484720.207252381358937
0.05103.8829735990860.207909450892995
0.06103.9764173347910.233699967874056
0.07104.0700459296520.27259054894396
0.08104.167270060090.307522347246275
0.09104.2680902116320.328293999893218
0.1104.3698805834240.332684999790285
0.11104.4692523706360.323930414033215
0.12104.5636701681070.309026497950152
0.13104.6523126753460.296030972148087
0.14104.7362130977510.292565309470385
0.15104.8179308029940.304413806967001
0.16104.9010155311870.334798344661608
0.17104.9894504066520.38392298845551
0.18105.0871753575590.449949121486911
0.19105.1977307694760.530257388752792
0.2105.324027011950.621609030345218
0.21105.4682302168640.720605353260064
0.22105.6317470720710.824074733831792
0.23105.81528410980.929369808202918
0.24106.0189489298641.03492137760788
0.25106.2423556552841.13877063988919
0.26106.484699399641.23947211156827
0.27106.7447767800431.33527373136156
0.28107.0209493212861.42359884456999
0.29107.3110681175661.50089795224435
0.3107.6123944120071.56338983966102
0.31107.9215566716791.60697019866568
0.32108.2345787493631.62764784256297
0.33108.5469981051661.62301218468495
0.34108.8540726510561.59159281272961
0.35109.1510551249741.5339400885356
0.36109.4334995762661.45234019725656
0.37109.6975581776941.35041181039032
0.38109.9402286370431.23346944779677
0.39110.159521627881.10721777157326
0.4110.3545313897490.977685893855313
0.41110.5254079663830.85072513225453
0.42110.67324356510.730839738365371
0.43110.7998959242410.622276496675796
0.44110.9077769791050.527416628217175
0.45110.9996352126760.447899703507269
0.46111.0783555980970.384248116064473
0.47111.1467935155820.336057415394526
0.48111.2076503867350.302438350670195
0.49111.2633908866430.282045620015434
0.5111.3161958823990.273112291852769
0.51111.3679424068270.27387339312381
0.52111.4202019376030.282308801121094
0.53111.4742502981240.296739673602495
0.54111.5310855216450.315458409775982
0.55111.5914528420270.337025681919312
0.56111.6558776287340.360153487574072
0.57111.7247070442260.383810807934843
0.58111.7981594913810.407684366481515
0.59111.8763780957150.431333428017966
0.6111.9594814940310.454981140042374
0.61112.0476032114970.478813821143691
0.62112.140910915680.503378278367391
0.63112.2395994332520.528758186585377
0.64112.3438565461630.555372171434949
0.65112.4538074409250.582284273104419
0.66112.5694507916150.608784654911602
0.67112.690604951620.633529843808218
0.68112.816884800480.654884491321963
0.69112.9477271840520.671871726682569
0.7113.0824753273140.683516680084096
0.71113.2205210152670.690176146815742
0.72113.3614897463340.693269668579723
0.73113.5054411419140.695169756489113
0.74113.6530473488470.699616901339015
0.75113.8057081168920.710544286495681
0.76113.9655638567470.732077147941316
0.77114.1353775643550.767033300363991
0.78114.3182726775260.816669791294289
0.79114.517335885230.879596172421084
0.8114.7351200424990.951659053867367
0.81114.9731094870271.02650509859578
0.82115.2312327214791.09597248919411
0.83115.5075181612011.15105514664624
0.84115.7979803280571.18323164274703
0.85116.0967936884951.18611961863823
0.86116.3967643740461.15607528705448
0.87116.6900592505911.09332051608613
0.88116.9691124198281.00185552415862
0.89117.2276094286630.888994995384982
0.9117.461444056480.764533009397563
0.91117.6695354816930.640136670453313
0.92117.8543655260980.527793543960234
0.93118.0220229454780.439099562288692
0.94118.1813915523450.382620875408145
0.95118.3419094288660.359524616025074
0.96118.5093474394720.356893644509894
0.97118.6800822048940.343557783687514
0.98118.837063569550.280225853034756
0.99118.9536852040.157571618129603


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')