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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Nov 2008 11:58:16 -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/2008/Nov/03/t12257387597cxl04ztuw4r4w5.htm/, Retrieved Sun, 19 May 2024 04:11:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20985, Retrieved Sun, 19 May 2024 04:11:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-    D  [Harrell-Davis Quantiles] [Q9 Confidence Int...] [2008-10-25 13:59:54] [87cabf13a90315c7085b765dcebb7412]
-   PD      [Harrell-Davis Quantiles] [Q9] [2008-11-03 18:58:16] [541f63fa3157af9df10fc4d202b2a90b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91,2
99,2
108,2
101,5
106,9
104,4
77,9
60
99,5
95
105,6
102,5
93,3
97,3
127
111,7
96,4
133
72,2
95,8
124,1
127,6
110,7
104,6
112,7
115,3
139,4
119
97,4
154
81,5
88,8
127,7
105,1
114,9
106,4
104,5
121,6
141,4
99
126,7
134,1
81,3
88,6
132,7
132,9
134,4
103,7
119,7
115
132,9
108,5
113,9
142
97,7
92,2
128,8
134,9
128,2
114,8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 6 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=20985&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]6 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=20985&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20985&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 time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0162.831891445488710.6218574409818
0.0266.94054526571858.81597719211092
0.0371.12224483817767.2463937454655
0.0474.7361042383026.15850251168142
0.0577.67164318516415.5158641643616
0.0680.06235569768795.19485521539494
0.0782.07813781206475.0496831585675
0.0883.8438251404684.94753596543773
0.0985.4304657124854.80269457614989
0.186.87145707390844.58650841033991
0.1188.18067021690784.31226728849615
0.1289.36529473893484.01182813671258
0.1390.4326420189563.71609516270345
0.1491.39236040700563.44468264374805
0.1592.2560296295093.20446484817057
0.1693.0358302090842.99366954363858
0.1793.74336348459212.80769437868618
0.1894.38905752147322.64255879371901
0.1994.9821392240242.49733076048965
0.295.53093823125462.37383224033708
0.2196.04326252097672.27585137054077
0.2296.5266612567872.20744752506509
0.2396.98849242918862.17129812854038
0.2497.43579773657792.16768967778288
0.2597.87503963525432.19403178426925
0.2698.31177740545872.24463838988981
0.2798.7503590531632.31204864683313
0.2899.19369286651982.38699539917906
0.2999.643143126792.46023000260753
0.3100.0985729113712.52348912310445
0.31100.5585354349622.56957883677713
0.32101.0205955017462.59410172618226
0.33101.4817458515322.59533674640246
0.34101.9388710579022.5741541431007
0.35102.3892056513622.53470548311523
0.36102.8307342152882.48319308061794
0.37103.2624892803592.42753112364117
0.38103.6847167042962.37658174222809
0.39104.0988956319402.33912699358597
0.4104.5076182825582.32233465257651
0.41104.9143509440982.33133985242410
0.42105.3231095257692.36867219076607
0.43105.7380896897692.43368988516657
0.44106.1632929015682.52297687760955
0.45106.6021865535512.63141104341006
0.46107.0574299824772.75185170026718
0.47107.5306901285032.87716213924394
0.48108.0225618752322.99977825411252
0.49108.5325993737633.11322080691051
0.5109.0594560251753.21203391893546
0.51109.6011221436363.29246785158227
0.52110.1552405432023.35326994952356
0.53110.7194715967173.39557274383721
0.54111.2918714056893.42284974055728
0.55111.8712407869403.44105204372091
0.56112.4574003179443.45818621202236
0.57113.0513491402203.48292311772871
0.58113.6552735964423.52413511960077
0.59114.2723862344893.58904218475773
0.6114.9065953353633.68198301221544
0.61115.5620278892743.80307481958705
0.62116.2424519312943.94820144043537
0.63116.9506639348594.10862279679695
0.64117.6879201515994.27224548779274
0.65118.4534945328554.42479819974949
0.66119.2444383174814.55125724019642
0.67120.0555969736034.63808022206024
0.68120.8799098890894.67423158086227
0.69121.7089795800954.65302548357675
0.7122.5338544662394.57287030049512
0.71123.3459283180784.43803026699106
0.72124.1378275511254.2581572116753
0.73124.9041424890494.04739951274603
0.74125.6418676887833.82290697544383
0.75126.3504538176623.60185911027478
0.76127.0314387214643.39904244286721
0.77127.6877104997643.22374290903259
0.78128.3225452864963.07746407878357
0.79128.9386359562962.95402035827535
0.8129.5373630728042.84085230967585
0.81130.1185398604542.72371229982672
0.82130.6807852382012.59126790868515
0.83131.2225553036592.43858067456798
0.84131.7437189224832.27046994869766
0.85132.2474242377582.10175822879534
0.86132.7418865405961.95701718272907
0.87133.241636286451.86841003614880
0.88133.7677054383361.86916016854695
0.89134.3462598876151.98200327401889
0.9135.0054844310772.20518671047504
0.91135.7714263563362.505240499425
0.92136.6653584375222.82176675864256
0.93137.7078607124083.08382703764688
0.94138.9362359866723.24972821037148
0.95140.4363144796883.38545780220987
0.96142.3678611557783.78313791673933
0.97144.9223704036354.93290082297077
0.98148.1286135812427.06257061396823
0.99151.5202345210469.71826410943167

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 62.8318914454887 & 10.6218574409818 \tabularnewline
0.02 & 66.9405452657185 & 8.81597719211092 \tabularnewline
0.03 & 71.1222448381776 & 7.2463937454655 \tabularnewline
0.04 & 74.736104238302 & 6.15850251168142 \tabularnewline
0.05 & 77.6716431851641 & 5.5158641643616 \tabularnewline
0.06 & 80.0623556976879 & 5.19485521539494 \tabularnewline
0.07 & 82.0781378120647 & 5.0496831585675 \tabularnewline
0.08 & 83.843825140468 & 4.94753596543773 \tabularnewline
0.09 & 85.430465712485 & 4.80269457614989 \tabularnewline
0.1 & 86.8714570739084 & 4.58650841033991 \tabularnewline
0.11 & 88.1806702169078 & 4.31226728849615 \tabularnewline
0.12 & 89.3652947389348 & 4.01182813671258 \tabularnewline
0.13 & 90.432642018956 & 3.71609516270345 \tabularnewline
0.14 & 91.3923604070056 & 3.44468264374805 \tabularnewline
0.15 & 92.256029629509 & 3.20446484817057 \tabularnewline
0.16 & 93.035830209084 & 2.99366954363858 \tabularnewline
0.17 & 93.7433634845921 & 2.80769437868618 \tabularnewline
0.18 & 94.3890575214732 & 2.64255879371901 \tabularnewline
0.19 & 94.982139224024 & 2.49733076048965 \tabularnewline
0.2 & 95.5309382312546 & 2.37383224033708 \tabularnewline
0.21 & 96.0432625209767 & 2.27585137054077 \tabularnewline
0.22 & 96.526661256787 & 2.20744752506509 \tabularnewline
0.23 & 96.9884924291886 & 2.17129812854038 \tabularnewline
0.24 & 97.4357977365779 & 2.16768967778288 \tabularnewline
0.25 & 97.8750396352543 & 2.19403178426925 \tabularnewline
0.26 & 98.3117774054587 & 2.24463838988981 \tabularnewline
0.27 & 98.750359053163 & 2.31204864683313 \tabularnewline
0.28 & 99.1936928665198 & 2.38699539917906 \tabularnewline
0.29 & 99.64314312679 & 2.46023000260753 \tabularnewline
0.3 & 100.098572911371 & 2.52348912310445 \tabularnewline
0.31 & 100.558535434962 & 2.56957883677713 \tabularnewline
0.32 & 101.020595501746 & 2.59410172618226 \tabularnewline
0.33 & 101.481745851532 & 2.59533674640246 \tabularnewline
0.34 & 101.938871057902 & 2.5741541431007 \tabularnewline
0.35 & 102.389205651362 & 2.53470548311523 \tabularnewline
0.36 & 102.830734215288 & 2.48319308061794 \tabularnewline
0.37 & 103.262489280359 & 2.42753112364117 \tabularnewline
0.38 & 103.684716704296 & 2.37658174222809 \tabularnewline
0.39 & 104.098895631940 & 2.33912699358597 \tabularnewline
0.4 & 104.507618282558 & 2.32233465257651 \tabularnewline
0.41 & 104.914350944098 & 2.33133985242410 \tabularnewline
0.42 & 105.323109525769 & 2.36867219076607 \tabularnewline
0.43 & 105.738089689769 & 2.43368988516657 \tabularnewline
0.44 & 106.163292901568 & 2.52297687760955 \tabularnewline
0.45 & 106.602186553551 & 2.63141104341006 \tabularnewline
0.46 & 107.057429982477 & 2.75185170026718 \tabularnewline
0.47 & 107.530690128503 & 2.87716213924394 \tabularnewline
0.48 & 108.022561875232 & 2.99977825411252 \tabularnewline
0.49 & 108.532599373763 & 3.11322080691051 \tabularnewline
0.5 & 109.059456025175 & 3.21203391893546 \tabularnewline
0.51 & 109.601122143636 & 3.29246785158227 \tabularnewline
0.52 & 110.155240543202 & 3.35326994952356 \tabularnewline
0.53 & 110.719471596717 & 3.39557274383721 \tabularnewline
0.54 & 111.291871405689 & 3.42284974055728 \tabularnewline
0.55 & 111.871240786940 & 3.44105204372091 \tabularnewline
0.56 & 112.457400317944 & 3.45818621202236 \tabularnewline
0.57 & 113.051349140220 & 3.48292311772871 \tabularnewline
0.58 & 113.655273596442 & 3.52413511960077 \tabularnewline
0.59 & 114.272386234489 & 3.58904218475773 \tabularnewline
0.6 & 114.906595335363 & 3.68198301221544 \tabularnewline
0.61 & 115.562027889274 & 3.80307481958705 \tabularnewline
0.62 & 116.242451931294 & 3.94820144043537 \tabularnewline
0.63 & 116.950663934859 & 4.10862279679695 \tabularnewline
0.64 & 117.687920151599 & 4.27224548779274 \tabularnewline
0.65 & 118.453494532855 & 4.42479819974949 \tabularnewline
0.66 & 119.244438317481 & 4.55125724019642 \tabularnewline
0.67 & 120.055596973603 & 4.63808022206024 \tabularnewline
0.68 & 120.879909889089 & 4.67423158086227 \tabularnewline
0.69 & 121.708979580095 & 4.65302548357675 \tabularnewline
0.7 & 122.533854466239 & 4.57287030049512 \tabularnewline
0.71 & 123.345928318078 & 4.43803026699106 \tabularnewline
0.72 & 124.137827551125 & 4.2581572116753 \tabularnewline
0.73 & 124.904142489049 & 4.04739951274603 \tabularnewline
0.74 & 125.641867688783 & 3.82290697544383 \tabularnewline
0.75 & 126.350453817662 & 3.60185911027478 \tabularnewline
0.76 & 127.031438721464 & 3.39904244286721 \tabularnewline
0.77 & 127.687710499764 & 3.22374290903259 \tabularnewline
0.78 & 128.322545286496 & 3.07746407878357 \tabularnewline
0.79 & 128.938635956296 & 2.95402035827535 \tabularnewline
0.8 & 129.537363072804 & 2.84085230967585 \tabularnewline
0.81 & 130.118539860454 & 2.72371229982672 \tabularnewline
0.82 & 130.680785238201 & 2.59126790868515 \tabularnewline
0.83 & 131.222555303659 & 2.43858067456798 \tabularnewline
0.84 & 131.743718922483 & 2.27046994869766 \tabularnewline
0.85 & 132.247424237758 & 2.10175822879534 \tabularnewline
0.86 & 132.741886540596 & 1.95701718272907 \tabularnewline
0.87 & 133.24163628645 & 1.86841003614880 \tabularnewline
0.88 & 133.767705438336 & 1.86916016854695 \tabularnewline
0.89 & 134.346259887615 & 1.98200327401889 \tabularnewline
0.9 & 135.005484431077 & 2.20518671047504 \tabularnewline
0.91 & 135.771426356336 & 2.505240499425 \tabularnewline
0.92 & 136.665358437522 & 2.82176675864256 \tabularnewline
0.93 & 137.707860712408 & 3.08382703764688 \tabularnewline
0.94 & 138.936235986672 & 3.24972821037148 \tabularnewline
0.95 & 140.436314479688 & 3.38545780220987 \tabularnewline
0.96 & 142.367861155778 & 3.78313791673933 \tabularnewline
0.97 & 144.922370403635 & 4.93290082297077 \tabularnewline
0.98 & 148.128613581242 & 7.06257061396823 \tabularnewline
0.99 & 151.520234521046 & 9.71826410943167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20985&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]62.8318914454887[/C][C]10.6218574409818[/C][/ROW]
[ROW][C]0.02[/C][C]66.9405452657185[/C][C]8.81597719211092[/C][/ROW]
[ROW][C]0.03[/C][C]71.1222448381776[/C][C]7.2463937454655[/C][/ROW]
[ROW][C]0.04[/C][C]74.736104238302[/C][C]6.15850251168142[/C][/ROW]
[ROW][C]0.05[/C][C]77.6716431851641[/C][C]5.5158641643616[/C][/ROW]
[ROW][C]0.06[/C][C]80.0623556976879[/C][C]5.19485521539494[/C][/ROW]
[ROW][C]0.07[/C][C]82.0781378120647[/C][C]5.0496831585675[/C][/ROW]
[ROW][C]0.08[/C][C]83.843825140468[/C][C]4.94753596543773[/C][/ROW]
[ROW][C]0.09[/C][C]85.430465712485[/C][C]4.80269457614989[/C][/ROW]
[ROW][C]0.1[/C][C]86.8714570739084[/C][C]4.58650841033991[/C][/ROW]
[ROW][C]0.11[/C][C]88.1806702169078[/C][C]4.31226728849615[/C][/ROW]
[ROW][C]0.12[/C][C]89.3652947389348[/C][C]4.01182813671258[/C][/ROW]
[ROW][C]0.13[/C][C]90.432642018956[/C][C]3.71609516270345[/C][/ROW]
[ROW][C]0.14[/C][C]91.3923604070056[/C][C]3.44468264374805[/C][/ROW]
[ROW][C]0.15[/C][C]92.256029629509[/C][C]3.20446484817057[/C][/ROW]
[ROW][C]0.16[/C][C]93.035830209084[/C][C]2.99366954363858[/C][/ROW]
[ROW][C]0.17[/C][C]93.7433634845921[/C][C]2.80769437868618[/C][/ROW]
[ROW][C]0.18[/C][C]94.3890575214732[/C][C]2.64255879371901[/C][/ROW]
[ROW][C]0.19[/C][C]94.982139224024[/C][C]2.49733076048965[/C][/ROW]
[ROW][C]0.2[/C][C]95.5309382312546[/C][C]2.37383224033708[/C][/ROW]
[ROW][C]0.21[/C][C]96.0432625209767[/C][C]2.27585137054077[/C][/ROW]
[ROW][C]0.22[/C][C]96.526661256787[/C][C]2.20744752506509[/C][/ROW]
[ROW][C]0.23[/C][C]96.9884924291886[/C][C]2.17129812854038[/C][/ROW]
[ROW][C]0.24[/C][C]97.4357977365779[/C][C]2.16768967778288[/C][/ROW]
[ROW][C]0.25[/C][C]97.8750396352543[/C][C]2.19403178426925[/C][/ROW]
[ROW][C]0.26[/C][C]98.3117774054587[/C][C]2.24463838988981[/C][/ROW]
[ROW][C]0.27[/C][C]98.750359053163[/C][C]2.31204864683313[/C][/ROW]
[ROW][C]0.28[/C][C]99.1936928665198[/C][C]2.38699539917906[/C][/ROW]
[ROW][C]0.29[/C][C]99.64314312679[/C][C]2.46023000260753[/C][/ROW]
[ROW][C]0.3[/C][C]100.098572911371[/C][C]2.52348912310445[/C][/ROW]
[ROW][C]0.31[/C][C]100.558535434962[/C][C]2.56957883677713[/C][/ROW]
[ROW][C]0.32[/C][C]101.020595501746[/C][C]2.59410172618226[/C][/ROW]
[ROW][C]0.33[/C][C]101.481745851532[/C][C]2.59533674640246[/C][/ROW]
[ROW][C]0.34[/C][C]101.938871057902[/C][C]2.5741541431007[/C][/ROW]
[ROW][C]0.35[/C][C]102.389205651362[/C][C]2.53470548311523[/C][/ROW]
[ROW][C]0.36[/C][C]102.830734215288[/C][C]2.48319308061794[/C][/ROW]
[ROW][C]0.37[/C][C]103.262489280359[/C][C]2.42753112364117[/C][/ROW]
[ROW][C]0.38[/C][C]103.684716704296[/C][C]2.37658174222809[/C][/ROW]
[ROW][C]0.39[/C][C]104.098895631940[/C][C]2.33912699358597[/C][/ROW]
[ROW][C]0.4[/C][C]104.507618282558[/C][C]2.32233465257651[/C][/ROW]
[ROW][C]0.41[/C][C]104.914350944098[/C][C]2.33133985242410[/C][/ROW]
[ROW][C]0.42[/C][C]105.323109525769[/C][C]2.36867219076607[/C][/ROW]
[ROW][C]0.43[/C][C]105.738089689769[/C][C]2.43368988516657[/C][/ROW]
[ROW][C]0.44[/C][C]106.163292901568[/C][C]2.52297687760955[/C][/ROW]
[ROW][C]0.45[/C][C]106.602186553551[/C][C]2.63141104341006[/C][/ROW]
[ROW][C]0.46[/C][C]107.057429982477[/C][C]2.75185170026718[/C][/ROW]
[ROW][C]0.47[/C][C]107.530690128503[/C][C]2.87716213924394[/C][/ROW]
[ROW][C]0.48[/C][C]108.022561875232[/C][C]2.99977825411252[/C][/ROW]
[ROW][C]0.49[/C][C]108.532599373763[/C][C]3.11322080691051[/C][/ROW]
[ROW][C]0.5[/C][C]109.059456025175[/C][C]3.21203391893546[/C][/ROW]
[ROW][C]0.51[/C][C]109.601122143636[/C][C]3.29246785158227[/C][/ROW]
[ROW][C]0.52[/C][C]110.155240543202[/C][C]3.35326994952356[/C][/ROW]
[ROW][C]0.53[/C][C]110.719471596717[/C][C]3.39557274383721[/C][/ROW]
[ROW][C]0.54[/C][C]111.291871405689[/C][C]3.42284974055728[/C][/ROW]
[ROW][C]0.55[/C][C]111.871240786940[/C][C]3.44105204372091[/C][/ROW]
[ROW][C]0.56[/C][C]112.457400317944[/C][C]3.45818621202236[/C][/ROW]
[ROW][C]0.57[/C][C]113.051349140220[/C][C]3.48292311772871[/C][/ROW]
[ROW][C]0.58[/C][C]113.655273596442[/C][C]3.52413511960077[/C][/ROW]
[ROW][C]0.59[/C][C]114.272386234489[/C][C]3.58904218475773[/C][/ROW]
[ROW][C]0.6[/C][C]114.906595335363[/C][C]3.68198301221544[/C][/ROW]
[ROW][C]0.61[/C][C]115.562027889274[/C][C]3.80307481958705[/C][/ROW]
[ROW][C]0.62[/C][C]116.242451931294[/C][C]3.94820144043537[/C][/ROW]
[ROW][C]0.63[/C][C]116.950663934859[/C][C]4.10862279679695[/C][/ROW]
[ROW][C]0.64[/C][C]117.687920151599[/C][C]4.27224548779274[/C][/ROW]
[ROW][C]0.65[/C][C]118.453494532855[/C][C]4.42479819974949[/C][/ROW]
[ROW][C]0.66[/C][C]119.244438317481[/C][C]4.55125724019642[/C][/ROW]
[ROW][C]0.67[/C][C]120.055596973603[/C][C]4.63808022206024[/C][/ROW]
[ROW][C]0.68[/C][C]120.879909889089[/C][C]4.67423158086227[/C][/ROW]
[ROW][C]0.69[/C][C]121.708979580095[/C][C]4.65302548357675[/C][/ROW]
[ROW][C]0.7[/C][C]122.533854466239[/C][C]4.57287030049512[/C][/ROW]
[ROW][C]0.71[/C][C]123.345928318078[/C][C]4.43803026699106[/C][/ROW]
[ROW][C]0.72[/C][C]124.137827551125[/C][C]4.2581572116753[/C][/ROW]
[ROW][C]0.73[/C][C]124.904142489049[/C][C]4.04739951274603[/C][/ROW]
[ROW][C]0.74[/C][C]125.641867688783[/C][C]3.82290697544383[/C][/ROW]
[ROW][C]0.75[/C][C]126.350453817662[/C][C]3.60185911027478[/C][/ROW]
[ROW][C]0.76[/C][C]127.031438721464[/C][C]3.39904244286721[/C][/ROW]
[ROW][C]0.77[/C][C]127.687710499764[/C][C]3.22374290903259[/C][/ROW]
[ROW][C]0.78[/C][C]128.322545286496[/C][C]3.07746407878357[/C][/ROW]
[ROW][C]0.79[/C][C]128.938635956296[/C][C]2.95402035827535[/C][/ROW]
[ROW][C]0.8[/C][C]129.537363072804[/C][C]2.84085230967585[/C][/ROW]
[ROW][C]0.81[/C][C]130.118539860454[/C][C]2.72371229982672[/C][/ROW]
[ROW][C]0.82[/C][C]130.680785238201[/C][C]2.59126790868515[/C][/ROW]
[ROW][C]0.83[/C][C]131.222555303659[/C][C]2.43858067456798[/C][/ROW]
[ROW][C]0.84[/C][C]131.743718922483[/C][C]2.27046994869766[/C][/ROW]
[ROW][C]0.85[/C][C]132.247424237758[/C][C]2.10175822879534[/C][/ROW]
[ROW][C]0.86[/C][C]132.741886540596[/C][C]1.95701718272907[/C][/ROW]
[ROW][C]0.87[/C][C]133.24163628645[/C][C]1.86841003614880[/C][/ROW]
[ROW][C]0.88[/C][C]133.767705438336[/C][C]1.86916016854695[/C][/ROW]
[ROW][C]0.89[/C][C]134.346259887615[/C][C]1.98200327401889[/C][/ROW]
[ROW][C]0.9[/C][C]135.005484431077[/C][C]2.20518671047504[/C][/ROW]
[ROW][C]0.91[/C][C]135.771426356336[/C][C]2.505240499425[/C][/ROW]
[ROW][C]0.92[/C][C]136.665358437522[/C][C]2.82176675864256[/C][/ROW]
[ROW][C]0.93[/C][C]137.707860712408[/C][C]3.08382703764688[/C][/ROW]
[ROW][C]0.94[/C][C]138.936235986672[/C][C]3.24972821037148[/C][/ROW]
[ROW][C]0.95[/C][C]140.436314479688[/C][C]3.38545780220987[/C][/ROW]
[ROW][C]0.96[/C][C]142.367861155778[/C][C]3.78313791673933[/C][/ROW]
[ROW][C]0.97[/C][C]144.922370403635[/C][C]4.93290082297077[/C][/ROW]
[ROW][C]0.98[/C][C]148.128613581242[/C][C]7.06257061396823[/C][/ROW]
[ROW][C]0.99[/C][C]151.520234521046[/C][C]9.71826410943167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20985&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20985&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
0.0162.831891445488710.6218574409818
0.0266.94054526571858.81597719211092
0.0371.12224483817767.2463937454655
0.0474.7361042383026.15850251168142
0.0577.67164318516415.5158641643616
0.0680.06235569768795.19485521539494
0.0782.07813781206475.0496831585675
0.0883.8438251404684.94753596543773
0.0985.4304657124854.80269457614989
0.186.87145707390844.58650841033991
0.1188.18067021690784.31226728849615
0.1289.36529473893484.01182813671258
0.1390.4326420189563.71609516270345
0.1491.39236040700563.44468264374805
0.1592.2560296295093.20446484817057
0.1693.0358302090842.99366954363858
0.1793.74336348459212.80769437868618
0.1894.38905752147322.64255879371901
0.1994.9821392240242.49733076048965
0.295.53093823125462.37383224033708
0.2196.04326252097672.27585137054077
0.2296.5266612567872.20744752506509
0.2396.98849242918862.17129812854038
0.2497.43579773657792.16768967778288
0.2597.87503963525432.19403178426925
0.2698.31177740545872.24463838988981
0.2798.7503590531632.31204864683313
0.2899.19369286651982.38699539917906
0.2999.643143126792.46023000260753
0.3100.0985729113712.52348912310445
0.31100.5585354349622.56957883677713
0.32101.0205955017462.59410172618226
0.33101.4817458515322.59533674640246
0.34101.9388710579022.5741541431007
0.35102.3892056513622.53470548311523
0.36102.8307342152882.48319308061794
0.37103.2624892803592.42753112364117
0.38103.6847167042962.37658174222809
0.39104.0988956319402.33912699358597
0.4104.5076182825582.32233465257651
0.41104.9143509440982.33133985242410
0.42105.3231095257692.36867219076607
0.43105.7380896897692.43368988516657
0.44106.1632929015682.52297687760955
0.45106.6021865535512.63141104341006
0.46107.0574299824772.75185170026718
0.47107.5306901285032.87716213924394
0.48108.0225618752322.99977825411252
0.49108.5325993737633.11322080691051
0.5109.0594560251753.21203391893546
0.51109.6011221436363.29246785158227
0.52110.1552405432023.35326994952356
0.53110.7194715967173.39557274383721
0.54111.2918714056893.42284974055728
0.55111.8712407869403.44105204372091
0.56112.4574003179443.45818621202236
0.57113.0513491402203.48292311772871
0.58113.6552735964423.52413511960077
0.59114.2723862344893.58904218475773
0.6114.9065953353633.68198301221544
0.61115.5620278892743.80307481958705
0.62116.2424519312943.94820144043537
0.63116.9506639348594.10862279679695
0.64117.6879201515994.27224548779274
0.65118.4534945328554.42479819974949
0.66119.2444383174814.55125724019642
0.67120.0555969736034.63808022206024
0.68120.8799098890894.67423158086227
0.69121.7089795800954.65302548357675
0.7122.5338544662394.57287030049512
0.71123.3459283180784.43803026699106
0.72124.1378275511254.2581572116753
0.73124.9041424890494.04739951274603
0.74125.6418676887833.82290697544383
0.75126.3504538176623.60185911027478
0.76127.0314387214643.39904244286721
0.77127.6877104997643.22374290903259
0.78128.3225452864963.07746407878357
0.79128.9386359562962.95402035827535
0.8129.5373630728042.84085230967585
0.81130.1185398604542.72371229982672
0.82130.6807852382012.59126790868515
0.83131.2225553036592.43858067456798
0.84131.7437189224832.27046994869766
0.85132.2474242377582.10175822879534
0.86132.7418865405961.95701718272907
0.87133.241636286451.86841003614880
0.88133.7677054383361.86916016854695
0.89134.3462598876151.98200327401889
0.9135.0054844310772.20518671047504
0.91135.7714263563362.505240499425
0.92136.6653584375222.82176675864256
0.93137.7078607124083.08382703764688
0.94138.9362359866723.24972821037148
0.95140.4363144796883.38545780220987
0.96142.3678611557783.78313791673933
0.97144.9223704036354.93290082297077
0.98148.1286135812427.06257061396823
0.99151.5202345210469.71826410943167


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')