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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 computationSat, 15 Dec 2007 14:06:21 -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/Dec/15/t1197756293ufuucr2ms8oq7sx.htm/, Retrieved Thu, 02 May 2024 23:11:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4107, Retrieved Thu, 02 May 2024 23:11:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204

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] [] [2007-12-15 21:06:21] [ba3202e2798d2e4685d19d988e9c69df] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92,81
59,04
72,81
91,81
68,07
49,16
124,61
109,89
110,51
114,77
92,37
103,63
90,43
65,86
83,33
94,49
68,98
55,46
132,89
121,71
127,01
134,04
106,48
117,55
101,61
82,66
89,28
109,24
88,16
59,23
164,21
125,13
152,68
132,96
112,42
136,43
107,32
87,61
97,86
106,60
92,17
65,31
161,49
162,25
175,13
147,28
144,48
122,67
102,27
88,64
89,59
112,20
91,98
57,85
160,49
128,33
140,69
126,61
129,27
124,27
112,90
92,54
85,70
116,72
92,08
58,98
154,50
145,55
146,60
143,51
113,52
104,80

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4107&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4107&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0150.95182318185535.17340304661496
0.0253.40403224162833.86045981496385
0.0355.60968596987942.88026931421537
0.0457.31225412740892.45305670043048
0.0558.65729543482932.57630538460091
0.0659.87139381613353.0954158142692
0.0761.12299431806493.80775686049281
0.0862.50253984439054.56981238060599
0.0964.04247136546975.31406918907789
0.165.74161817224276.02369635659
0.1167.58259130448676.69214818999155
0.1269.53993805159937.29208593408436
0.1371.58140239395437.76883379789829
0.1473.66675405666488.05821647278006
0.1575.74813027624358.11126519341536
0.1677.77357968609717.91222133349615
0.1779.6931079017127.48303326529385
0.1881.46517782527846.8772436981322
0.1983.06159150822136.16526829689805
0.284.46955326558055.41929667823265
0.2185.6908315521194.70115391638181
0.2286.73878919905974.05532962699007
0.2387.63442197202573.50724150182013
0.2488.40247491339023.06590916037077
0.2589.06836882623382.72844773860316
0.2689.65625478842892.48652173792646
0.2790.1881582613642.33094763892720
0.2890.6839409846822.25640632482874
0.2991.16170740388972.26104581276549
0.391.63829038936022.34634626631024
0.3192.12953438657272.51298083587084
0.3292.65021825360382.7571589792125
0.3393.21359400904973.06886980126968
0.3493.83063572023683.43209759281638
0.3594.50917512764433.82485132998117
0.3695.25313538290694.22192844064127
0.3796.06205882100344.59756693183218
0.3896.93106606857674.92697561314704
0.3997.85129738669995.1904053880756
0.498.81079328807055.37431866830909
0.4199.79569085172975.47265516527699
0.42100.7915611726945.48728445936035
0.43101.7847005933245.42730940808586
0.44102.7632130531725.3065265181715
0.45103.7177739871275.14206205142741
0.46104.6420331584574.95202085255296
0.47105.5326786032934.75342472958252
0.48106.3892328818264.56104468150359
0.49107.2136777842294.3867178100645
0.5108.0100028181954.23957800192407
0.51108.7837506835694.12621609268415
0.52109.5415984305134.05149722442461
0.53110.2909769535994.01839264166715
0.54111.0397040578864.02899575766802
0.55111.7955947804534.08278717577400
0.56112.5660197912894.17692081608139
0.57113.3574064306914.30477562754323
0.58114.1747107291164.45646681754049
0.59115.0209230575694.61852318681477
0.6115.8966944794484.77609387253696
0.61116.8001766786954.91304976721533
0.62117.7271507817745.01540385606301
0.63118.6714803388775.0728076200155
0.64119.6258680331915.08002586401414
0.65120.5828360415835.03822169281608
0.66121.5358003452574.95511766884009
0.67122.4800824215454.84445785285572
0.68123.4137055351384.72375757907079
0.69124.3378576471354.61266753427
0.7125.256960724094.52992215913795
0.71126.1783520495914.49062938281134
0.72127.1116392491844.50462814471291
0.73128.0678222538754.57512500503794
0.74129.0582763706474.69933557025712
0.75130.0936680499964.86914483940989
0.76131.1828487571025.07185189058933
0.77132.3317691831815.29096936223428
0.78133.5424972145745.50609167674175
0.79134.8125100330895.69374751939358
0.8136.1345339043445.82946278563239
0.81137.4972641956245.89238932301867
0.82138.8872383098915.87047362839496
0.83140.2918989887515.76699370295771
0.84141.7034746014145.60435686421992
0.85143.1227998148815.42549621625452
0.86144.5617697939265.28655888808715
0.87146.0429743811095.24155907890818
0.88147.5953897484865.319385938614
0.89149.2459314961445.50180797033185
0.9151.0082000498315.71802689313038
0.91152.8717536811605.85866298655213
0.92154.7974661136485.80649565744058
0.93156.7265601819545.47825649078905
0.94158.6120037428254.876813310184
0.95160.4782829978774.14872002281752
0.96162.4981515337313.66459012222784
0.97165.0173056705634.0765069640759
0.98168.3536398603495.85156998174167
0.99172.2104056234818.55325087183165

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.9518231818553 & 5.17340304661496 \tabularnewline
0.02 & 53.4040322416283 & 3.86045981496385 \tabularnewline
0.03 & 55.6096859698794 & 2.88026931421537 \tabularnewline
0.04 & 57.3122541274089 & 2.45305670043048 \tabularnewline
0.05 & 58.6572954348293 & 2.57630538460091 \tabularnewline
0.06 & 59.8713938161335 & 3.0954158142692 \tabularnewline
0.07 & 61.1229943180649 & 3.80775686049281 \tabularnewline
0.08 & 62.5025398443905 & 4.56981238060599 \tabularnewline
0.09 & 64.0424713654697 & 5.31406918907789 \tabularnewline
0.1 & 65.7416181722427 & 6.02369635659 \tabularnewline
0.11 & 67.5825913044867 & 6.69214818999155 \tabularnewline
0.12 & 69.5399380515993 & 7.29208593408436 \tabularnewline
0.13 & 71.5814023939543 & 7.76883379789829 \tabularnewline
0.14 & 73.6667540566648 & 8.05821647278006 \tabularnewline
0.15 & 75.7481302762435 & 8.11126519341536 \tabularnewline
0.16 & 77.7735796860971 & 7.91222133349615 \tabularnewline
0.17 & 79.693107901712 & 7.48303326529385 \tabularnewline
0.18 & 81.4651778252784 & 6.8772436981322 \tabularnewline
0.19 & 83.0615915082213 & 6.16526829689805 \tabularnewline
0.2 & 84.4695532655805 & 5.41929667823265 \tabularnewline
0.21 & 85.690831552119 & 4.70115391638181 \tabularnewline
0.22 & 86.7387891990597 & 4.05532962699007 \tabularnewline
0.23 & 87.6344219720257 & 3.50724150182013 \tabularnewline
0.24 & 88.4024749133902 & 3.06590916037077 \tabularnewline
0.25 & 89.0683688262338 & 2.72844773860316 \tabularnewline
0.26 & 89.6562547884289 & 2.48652173792646 \tabularnewline
0.27 & 90.188158261364 & 2.33094763892720 \tabularnewline
0.28 & 90.683940984682 & 2.25640632482874 \tabularnewline
0.29 & 91.1617074038897 & 2.26104581276549 \tabularnewline
0.3 & 91.6382903893602 & 2.34634626631024 \tabularnewline
0.31 & 92.1295343865727 & 2.51298083587084 \tabularnewline
0.32 & 92.6502182536038 & 2.7571589792125 \tabularnewline
0.33 & 93.2135940090497 & 3.06886980126968 \tabularnewline
0.34 & 93.8306357202368 & 3.43209759281638 \tabularnewline
0.35 & 94.5091751276443 & 3.82485132998117 \tabularnewline
0.36 & 95.2531353829069 & 4.22192844064127 \tabularnewline
0.37 & 96.0620588210034 & 4.59756693183218 \tabularnewline
0.38 & 96.9310660685767 & 4.92697561314704 \tabularnewline
0.39 & 97.8512973866999 & 5.1904053880756 \tabularnewline
0.4 & 98.8107932880705 & 5.37431866830909 \tabularnewline
0.41 & 99.7956908517297 & 5.47265516527699 \tabularnewline
0.42 & 100.791561172694 & 5.48728445936035 \tabularnewline
0.43 & 101.784700593324 & 5.42730940808586 \tabularnewline
0.44 & 102.763213053172 & 5.3065265181715 \tabularnewline
0.45 & 103.717773987127 & 5.14206205142741 \tabularnewline
0.46 & 104.642033158457 & 4.95202085255296 \tabularnewline
0.47 & 105.532678603293 & 4.75342472958252 \tabularnewline
0.48 & 106.389232881826 & 4.56104468150359 \tabularnewline
0.49 & 107.213677784229 & 4.3867178100645 \tabularnewline
0.5 & 108.010002818195 & 4.23957800192407 \tabularnewline
0.51 & 108.783750683569 & 4.12621609268415 \tabularnewline
0.52 & 109.541598430513 & 4.05149722442461 \tabularnewline
0.53 & 110.290976953599 & 4.01839264166715 \tabularnewline
0.54 & 111.039704057886 & 4.02899575766802 \tabularnewline
0.55 & 111.795594780453 & 4.08278717577400 \tabularnewline
0.56 & 112.566019791289 & 4.17692081608139 \tabularnewline
0.57 & 113.357406430691 & 4.30477562754323 \tabularnewline
0.58 & 114.174710729116 & 4.45646681754049 \tabularnewline
0.59 & 115.020923057569 & 4.61852318681477 \tabularnewline
0.6 & 115.896694479448 & 4.77609387253696 \tabularnewline
0.61 & 116.800176678695 & 4.91304976721533 \tabularnewline
0.62 & 117.727150781774 & 5.01540385606301 \tabularnewline
0.63 & 118.671480338877 & 5.0728076200155 \tabularnewline
0.64 & 119.625868033191 & 5.08002586401414 \tabularnewline
0.65 & 120.582836041583 & 5.03822169281608 \tabularnewline
0.66 & 121.535800345257 & 4.95511766884009 \tabularnewline
0.67 & 122.480082421545 & 4.84445785285572 \tabularnewline
0.68 & 123.413705535138 & 4.72375757907079 \tabularnewline
0.69 & 124.337857647135 & 4.61266753427 \tabularnewline
0.7 & 125.25696072409 & 4.52992215913795 \tabularnewline
0.71 & 126.178352049591 & 4.49062938281134 \tabularnewline
0.72 & 127.111639249184 & 4.50462814471291 \tabularnewline
0.73 & 128.067822253875 & 4.57512500503794 \tabularnewline
0.74 & 129.058276370647 & 4.69933557025712 \tabularnewline
0.75 & 130.093668049996 & 4.86914483940989 \tabularnewline
0.76 & 131.182848757102 & 5.07185189058933 \tabularnewline
0.77 & 132.331769183181 & 5.29096936223428 \tabularnewline
0.78 & 133.542497214574 & 5.50609167674175 \tabularnewline
0.79 & 134.812510033089 & 5.69374751939358 \tabularnewline
0.8 & 136.134533904344 & 5.82946278563239 \tabularnewline
0.81 & 137.497264195624 & 5.89238932301867 \tabularnewline
0.82 & 138.887238309891 & 5.87047362839496 \tabularnewline
0.83 & 140.291898988751 & 5.76699370295771 \tabularnewline
0.84 & 141.703474601414 & 5.60435686421992 \tabularnewline
0.85 & 143.122799814881 & 5.42549621625452 \tabularnewline
0.86 & 144.561769793926 & 5.28655888808715 \tabularnewline
0.87 & 146.042974381109 & 5.24155907890818 \tabularnewline
0.88 & 147.595389748486 & 5.319385938614 \tabularnewline
0.89 & 149.245931496144 & 5.50180797033185 \tabularnewline
0.9 & 151.008200049831 & 5.71802689313038 \tabularnewline
0.91 & 152.871753681160 & 5.85866298655213 \tabularnewline
0.92 & 154.797466113648 & 5.80649565744058 \tabularnewline
0.93 & 156.726560181954 & 5.47825649078905 \tabularnewline
0.94 & 158.612003742825 & 4.876813310184 \tabularnewline
0.95 & 160.478282997877 & 4.14872002281752 \tabularnewline
0.96 & 162.498151533731 & 3.66459012222784 \tabularnewline
0.97 & 165.017305670563 & 4.0765069640759 \tabularnewline
0.98 & 168.353639860349 & 5.85156998174167 \tabularnewline
0.99 & 172.210405623481 & 8.55325087183165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4107&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]50.9518231818553[/C][C]5.17340304661496[/C][/ROW]
[ROW][C]0.02[/C][C]53.4040322416283[/C][C]3.86045981496385[/C][/ROW]
[ROW][C]0.03[/C][C]55.6096859698794[/C][C]2.88026931421537[/C][/ROW]
[ROW][C]0.04[/C][C]57.3122541274089[/C][C]2.45305670043048[/C][/ROW]
[ROW][C]0.05[/C][C]58.6572954348293[/C][C]2.57630538460091[/C][/ROW]
[ROW][C]0.06[/C][C]59.8713938161335[/C][C]3.0954158142692[/C][/ROW]
[ROW][C]0.07[/C][C]61.1229943180649[/C][C]3.80775686049281[/C][/ROW]
[ROW][C]0.08[/C][C]62.5025398443905[/C][C]4.56981238060599[/C][/ROW]
[ROW][C]0.09[/C][C]64.0424713654697[/C][C]5.31406918907789[/C][/ROW]
[ROW][C]0.1[/C][C]65.7416181722427[/C][C]6.02369635659[/C][/ROW]
[ROW][C]0.11[/C][C]67.5825913044867[/C][C]6.69214818999155[/C][/ROW]
[ROW][C]0.12[/C][C]69.5399380515993[/C][C]7.29208593408436[/C][/ROW]
[ROW][C]0.13[/C][C]71.5814023939543[/C][C]7.76883379789829[/C][/ROW]
[ROW][C]0.14[/C][C]73.6667540566648[/C][C]8.05821647278006[/C][/ROW]
[ROW][C]0.15[/C][C]75.7481302762435[/C][C]8.11126519341536[/C][/ROW]
[ROW][C]0.16[/C][C]77.7735796860971[/C][C]7.91222133349615[/C][/ROW]
[ROW][C]0.17[/C][C]79.693107901712[/C][C]7.48303326529385[/C][/ROW]
[ROW][C]0.18[/C][C]81.4651778252784[/C][C]6.8772436981322[/C][/ROW]
[ROW][C]0.19[/C][C]83.0615915082213[/C][C]6.16526829689805[/C][/ROW]
[ROW][C]0.2[/C][C]84.4695532655805[/C][C]5.41929667823265[/C][/ROW]
[ROW][C]0.21[/C][C]85.690831552119[/C][C]4.70115391638181[/C][/ROW]
[ROW][C]0.22[/C][C]86.7387891990597[/C][C]4.05532962699007[/C][/ROW]
[ROW][C]0.23[/C][C]87.6344219720257[/C][C]3.50724150182013[/C][/ROW]
[ROW][C]0.24[/C][C]88.4024749133902[/C][C]3.06590916037077[/C][/ROW]
[ROW][C]0.25[/C][C]89.0683688262338[/C][C]2.72844773860316[/C][/ROW]
[ROW][C]0.26[/C][C]89.6562547884289[/C][C]2.48652173792646[/C][/ROW]
[ROW][C]0.27[/C][C]90.188158261364[/C][C]2.33094763892720[/C][/ROW]
[ROW][C]0.28[/C][C]90.683940984682[/C][C]2.25640632482874[/C][/ROW]
[ROW][C]0.29[/C][C]91.1617074038897[/C][C]2.26104581276549[/C][/ROW]
[ROW][C]0.3[/C][C]91.6382903893602[/C][C]2.34634626631024[/C][/ROW]
[ROW][C]0.31[/C][C]92.1295343865727[/C][C]2.51298083587084[/C][/ROW]
[ROW][C]0.32[/C][C]92.6502182536038[/C][C]2.7571589792125[/C][/ROW]
[ROW][C]0.33[/C][C]93.2135940090497[/C][C]3.06886980126968[/C][/ROW]
[ROW][C]0.34[/C][C]93.8306357202368[/C][C]3.43209759281638[/C][/ROW]
[ROW][C]0.35[/C][C]94.5091751276443[/C][C]3.82485132998117[/C][/ROW]
[ROW][C]0.36[/C][C]95.2531353829069[/C][C]4.22192844064127[/C][/ROW]
[ROW][C]0.37[/C][C]96.0620588210034[/C][C]4.59756693183218[/C][/ROW]
[ROW][C]0.38[/C][C]96.9310660685767[/C][C]4.92697561314704[/C][/ROW]
[ROW][C]0.39[/C][C]97.8512973866999[/C][C]5.1904053880756[/C][/ROW]
[ROW][C]0.4[/C][C]98.8107932880705[/C][C]5.37431866830909[/C][/ROW]
[ROW][C]0.41[/C][C]99.7956908517297[/C][C]5.47265516527699[/C][/ROW]
[ROW][C]0.42[/C][C]100.791561172694[/C][C]5.48728445936035[/C][/ROW]
[ROW][C]0.43[/C][C]101.784700593324[/C][C]5.42730940808586[/C][/ROW]
[ROW][C]0.44[/C][C]102.763213053172[/C][C]5.3065265181715[/C][/ROW]
[ROW][C]0.45[/C][C]103.717773987127[/C][C]5.14206205142741[/C][/ROW]
[ROW][C]0.46[/C][C]104.642033158457[/C][C]4.95202085255296[/C][/ROW]
[ROW][C]0.47[/C][C]105.532678603293[/C][C]4.75342472958252[/C][/ROW]
[ROW][C]0.48[/C][C]106.389232881826[/C][C]4.56104468150359[/C][/ROW]
[ROW][C]0.49[/C][C]107.213677784229[/C][C]4.3867178100645[/C][/ROW]
[ROW][C]0.5[/C][C]108.010002818195[/C][C]4.23957800192407[/C][/ROW]
[ROW][C]0.51[/C][C]108.783750683569[/C][C]4.12621609268415[/C][/ROW]
[ROW][C]0.52[/C][C]109.541598430513[/C][C]4.05149722442461[/C][/ROW]
[ROW][C]0.53[/C][C]110.290976953599[/C][C]4.01839264166715[/C][/ROW]
[ROW][C]0.54[/C][C]111.039704057886[/C][C]4.02899575766802[/C][/ROW]
[ROW][C]0.55[/C][C]111.795594780453[/C][C]4.08278717577400[/C][/ROW]
[ROW][C]0.56[/C][C]112.566019791289[/C][C]4.17692081608139[/C][/ROW]
[ROW][C]0.57[/C][C]113.357406430691[/C][C]4.30477562754323[/C][/ROW]
[ROW][C]0.58[/C][C]114.174710729116[/C][C]4.45646681754049[/C][/ROW]
[ROW][C]0.59[/C][C]115.020923057569[/C][C]4.61852318681477[/C][/ROW]
[ROW][C]0.6[/C][C]115.896694479448[/C][C]4.77609387253696[/C][/ROW]
[ROW][C]0.61[/C][C]116.800176678695[/C][C]4.91304976721533[/C][/ROW]
[ROW][C]0.62[/C][C]117.727150781774[/C][C]5.01540385606301[/C][/ROW]
[ROW][C]0.63[/C][C]118.671480338877[/C][C]5.0728076200155[/C][/ROW]
[ROW][C]0.64[/C][C]119.625868033191[/C][C]5.08002586401414[/C][/ROW]
[ROW][C]0.65[/C][C]120.582836041583[/C][C]5.03822169281608[/C][/ROW]
[ROW][C]0.66[/C][C]121.535800345257[/C][C]4.95511766884009[/C][/ROW]
[ROW][C]0.67[/C][C]122.480082421545[/C][C]4.84445785285572[/C][/ROW]
[ROW][C]0.68[/C][C]123.413705535138[/C][C]4.72375757907079[/C][/ROW]
[ROW][C]0.69[/C][C]124.337857647135[/C][C]4.61266753427[/C][/ROW]
[ROW][C]0.7[/C][C]125.25696072409[/C][C]4.52992215913795[/C][/ROW]
[ROW][C]0.71[/C][C]126.178352049591[/C][C]4.49062938281134[/C][/ROW]
[ROW][C]0.72[/C][C]127.111639249184[/C][C]4.50462814471291[/C][/ROW]
[ROW][C]0.73[/C][C]128.067822253875[/C][C]4.57512500503794[/C][/ROW]
[ROW][C]0.74[/C][C]129.058276370647[/C][C]4.69933557025712[/C][/ROW]
[ROW][C]0.75[/C][C]130.093668049996[/C][C]4.86914483940989[/C][/ROW]
[ROW][C]0.76[/C][C]131.182848757102[/C][C]5.07185189058933[/C][/ROW]
[ROW][C]0.77[/C][C]132.331769183181[/C][C]5.29096936223428[/C][/ROW]
[ROW][C]0.78[/C][C]133.542497214574[/C][C]5.50609167674175[/C][/ROW]
[ROW][C]0.79[/C][C]134.812510033089[/C][C]5.69374751939358[/C][/ROW]
[ROW][C]0.8[/C][C]136.134533904344[/C][C]5.82946278563239[/C][/ROW]
[ROW][C]0.81[/C][C]137.497264195624[/C][C]5.89238932301867[/C][/ROW]
[ROW][C]0.82[/C][C]138.887238309891[/C][C]5.87047362839496[/C][/ROW]
[ROW][C]0.83[/C][C]140.291898988751[/C][C]5.76699370295771[/C][/ROW]
[ROW][C]0.84[/C][C]141.703474601414[/C][C]5.60435686421992[/C][/ROW]
[ROW][C]0.85[/C][C]143.122799814881[/C][C]5.42549621625452[/C][/ROW]
[ROW][C]0.86[/C][C]144.561769793926[/C][C]5.28655888808715[/C][/ROW]
[ROW][C]0.87[/C][C]146.042974381109[/C][C]5.24155907890818[/C][/ROW]
[ROW][C]0.88[/C][C]147.595389748486[/C][C]5.319385938614[/C][/ROW]
[ROW][C]0.89[/C][C]149.245931496144[/C][C]5.50180797033185[/C][/ROW]
[ROW][C]0.9[/C][C]151.008200049831[/C][C]5.71802689313038[/C][/ROW]
[ROW][C]0.91[/C][C]152.871753681160[/C][C]5.85866298655213[/C][/ROW]
[ROW][C]0.92[/C][C]154.797466113648[/C][C]5.80649565744058[/C][/ROW]
[ROW][C]0.93[/C][C]156.726560181954[/C][C]5.47825649078905[/C][/ROW]
[ROW][C]0.94[/C][C]158.612003742825[/C][C]4.876813310184[/C][/ROW]
[ROW][C]0.95[/C][C]160.478282997877[/C][C]4.14872002281752[/C][/ROW]
[ROW][C]0.96[/C][C]162.498151533731[/C][C]3.66459012222784[/C][/ROW]
[ROW][C]0.97[/C][C]165.017305670563[/C][C]4.0765069640759[/C][/ROW]
[ROW][C]0.98[/C][C]168.353639860349[/C][C]5.85156998174167[/C][/ROW]
[ROW][C]0.99[/C][C]172.210405623481[/C][C]8.55325087183165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4107&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
0.0150.95182318185535.17340304661496
0.0253.40403224162833.86045981496385
0.0355.60968596987942.88026931421537
0.0457.31225412740892.45305670043048
0.0558.65729543482932.57630538460091
0.0659.87139381613353.0954158142692
0.0761.12299431806493.80775686049281
0.0862.50253984439054.56981238060599
0.0964.04247136546975.31406918907789
0.165.74161817224276.02369635659
0.1167.58259130448676.69214818999155
0.1269.53993805159937.29208593408436
0.1371.58140239395437.76883379789829
0.1473.66675405666488.05821647278006
0.1575.74813027624358.11126519341536
0.1677.77357968609717.91222133349615
0.1779.6931079017127.48303326529385
0.1881.46517782527846.8772436981322
0.1983.06159150822136.16526829689805
0.284.46955326558055.41929667823265
0.2185.6908315521194.70115391638181
0.2286.73878919905974.05532962699007
0.2387.63442197202573.50724150182013
0.2488.40247491339023.06590916037077
0.2589.06836882623382.72844773860316
0.2689.65625478842892.48652173792646
0.2790.1881582613642.33094763892720
0.2890.6839409846822.25640632482874
0.2991.16170740388972.26104581276549
0.391.63829038936022.34634626631024
0.3192.12953438657272.51298083587084
0.3292.65021825360382.7571589792125
0.3393.21359400904973.06886980126968
0.3493.83063572023683.43209759281638
0.3594.50917512764433.82485132998117
0.3695.25313538290694.22192844064127
0.3796.06205882100344.59756693183218
0.3896.93106606857674.92697561314704
0.3997.85129738669995.1904053880756
0.498.81079328807055.37431866830909
0.4199.79569085172975.47265516527699
0.42100.7915611726945.48728445936035
0.43101.7847005933245.42730940808586
0.44102.7632130531725.3065265181715
0.45103.7177739871275.14206205142741
0.46104.6420331584574.95202085255296
0.47105.5326786032934.75342472958252
0.48106.3892328818264.56104468150359
0.49107.2136777842294.3867178100645
0.5108.0100028181954.23957800192407
0.51108.7837506835694.12621609268415
0.52109.5415984305134.05149722442461
0.53110.2909769535994.01839264166715
0.54111.0397040578864.02899575766802
0.55111.7955947804534.08278717577400
0.56112.5660197912894.17692081608139
0.57113.3574064306914.30477562754323
0.58114.1747107291164.45646681754049
0.59115.0209230575694.61852318681477
0.6115.8966944794484.77609387253696
0.61116.8001766786954.91304976721533
0.62117.7271507817745.01540385606301
0.63118.6714803388775.0728076200155
0.64119.6258680331915.08002586401414
0.65120.5828360415835.03822169281608
0.66121.5358003452574.95511766884009
0.67122.4800824215454.84445785285572
0.68123.4137055351384.72375757907079
0.69124.3378576471354.61266753427
0.7125.256960724094.52992215913795
0.71126.1783520495914.49062938281134
0.72127.1116392491844.50462814471291
0.73128.0678222538754.57512500503794
0.74129.0582763706474.69933557025712
0.75130.0936680499964.86914483940989
0.76131.1828487571025.07185189058933
0.77132.3317691831815.29096936223428
0.78133.5424972145745.50609167674175
0.79134.8125100330895.69374751939358
0.8136.1345339043445.82946278563239
0.81137.4972641956245.89238932301867
0.82138.8872383098915.87047362839496
0.83140.2918989887515.76699370295771
0.84141.7034746014145.60435686421992
0.85143.1227998148815.42549621625452
0.86144.5617697939265.28655888808715
0.87146.0429743811095.24155907890818
0.88147.5953897484865.319385938614
0.89149.2459314961445.50180797033185
0.9151.0082000498315.71802689313038
0.91152.8717536811605.85866298655213
0.92154.7974661136485.80649565744058
0.93156.7265601819545.47825649078905
0.94158.6120037428254.876813310184
0.95160.4782829978774.14872002281752
0.96162.4981515337313.66459012222784
0.97165.0173056705634.0765069640759
0.98168.3536398603495.85156998174167
0.99172.2104056234818.55325087183165


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')