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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 computationMon, 07 Mar 2011 17:19:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/07/t12995182209w041h21i9o7pia.htm/, Retrieved Sun, 12 May 2024 12:51:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119725, Retrieved Sun, 12 May 2024 12:51:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact218

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] [Gemiddelde Zomert...] [2011-03-07 17:19:17] [8408ae72b9c03ee1c59e868ccc07a80d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17
16.7
15.4
15.1
16.1
17
16.1
14.3
16.1
14.8
15.9
17.6
15.9
14.8
16.5
15.6
14.6
17.1
15.2
14.8
15.4
16.6
15.1
15.4
15.2
16.6
16.1
15.7
15.8
15.7
16.9
15.9
17.1
17
16.6
17.1
16.6
16.6
16.5
17
15.9
17
16.1
16.1
16.8
16.7
15.7
18.7
16.1
16.3
17.2
16.1
16.5
16.5
15.1
16.7
14.4
16.2
15.9
17.3
15.6
15.6
14.7
15.8
15.8
14.8
16.1
16.3
16.1
17.4
16.7
16.1
15.4
16.9
15.5
17.6
18.4
15.9
15.2
15.5
15.9
15.8
17.6
18.2
15.9
15.7
16.4
15.6
15.8
17
16.8
16.6
17.7
15.7
18
18.2
16.4
18
16.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119725&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119725&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119725&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.36963078304170.133282215524497
0.0214.48310075335280.160989877415384
0.0314.59604284667510.151186080847043
0.0414.68901152921220.128977665796584
0.0514.76258034970650.119164372025443
0.0614.82525490328240.128057844547885
0.0714.88502683122350.145904724974309
0.0814.94576895894560.16061531158129
0.0915.00744861576360.166535797135396
0.115.06816527019130.1646682164494
0.1115.12610633137650.159259249002012
0.1215.1804460013850.153974689220116
0.1315.23125415375590.150093765956089
0.1415.27899285141660.147064385442773
0.1515.32409852277610.143906186328132
0.1615.36682391414750.140128611808802
0.1715.40726956939730.135739414310247
0.1815.44547070816490.130933746238134
0.1915.48145720735680.125843702469298
0.215.5152739569840.120526838758784
0.2115.54698335311180.115020228031652
0.2215.57666984176730.109451675578974
0.2315.60445031047690.104069829134124
0.2415.63048273861740.099143493109178
0.2515.65496476672160.0949105968380195
0.2615.67811983548480.0914773537367282
0.2715.70017502991190.0888326297973831
0.2815.72133803356110.086841602777173
0.2915.74178026328030.0853201380918994
0.315.76163069306160.0840924588008273
0.3115.78098156708880.0830002882809708
0.3215.79990402111710.0820402475756906
0.3315.81846897451030.0812710818201862
0.3415.83676684102730.0808993632406767
0.3515.85491910304870.081131697162689
0.3615.8730761209390.0821867660370537
0.3715.89139892823960.0841103939886475
0.3815.9100277328920.0867456995800776
0.3915.92904510697480.0896389210761446
0.415.9484455411710.0922466108912136
0.4115.96812342239450.0939437845026125
0.4215.98788775692020.0942834594341215
0.4316.00750477631240.0931499670226456
0.4416.0267610120720.0907360015318361
0.4516.04553230242960.0877423429846289
0.4616.06384096067830.0851028272095809
0.4716.08188518199270.0839369189483502
0.4816.10003120380290.0851649154075419
0.4916.11876782314840.0893781550939946
0.516.13863195740310.0965106545356192
0.5116.16012054121150.105979354252181
0.5216.18360662208670.116793930824351
0.5316.20927574356970.127810865774547
0.5416.23709346023620.137875307663364
0.5516.26680776969780.146004179575568
0.5616.29798326729140.151450871303583
0.5716.3300585307490.15386301988586
0.5816.36241555373750.153172138700596
0.5916.39445007787880.149607878004463
0.616.42563381230910.14374176162379
0.6116.45556274386150.136205601120836
0.6216.48398895474940.127827925521211
0.6316.51083580073110.11942127946249
0.6416.53619766187630.111743051431469
0.6516.56032591338360.105523666434554
0.6616.58360268770480.101330799792996
0.6716.60650383768450.0995339270624267
0.6816.62955254510.100234618937968
0.6916.65326539419820.103260429830074
0.716.67809357989360.108146322457592
0.7116.70436345393080.114154895751326
0.7216.73222298278150.120390246028587
0.7316.76160363035650.125815457667347
0.7416.7922096211370.12942156471719
0.7516.82354662890410.130432718776456
0.7616.85499771802690.12840467292354
0.7716.88594505269720.123507316095291
0.7816.91592305487570.116516246990847
0.7916.94477639258940.10890616322802
0.816.97278938466210.102611053883331
0.8117.00075512064250.0998438019269363
0.8217.02996151506580.102488914599081
0.8317.062082731920.111670118225623
0.8417.09897430469420.127246579047518
0.8517.14238296253220.147883598894803
0.8617.19361036079320.1710481605847
0.8717.25322229192860.193395196734375
0.8817.32095135505940.211515689926782
0.8917.39593634068920.223266140033734
0.917.4772959705920.229083198172649
0.9117.56475021365750.232221066278508
0.9217.65876691281710.236272654230496
0.9317.7598609542350.240983997313283
0.9417.86741608223190.240536437731701
0.9517.97946590852070.228336537961459
0.9618.09540109526570.205505964368535
0.9718.22200709866210.187914666251302
0.9818.37597286296690.200272671210025
0.9918.55961424150170.247780096065899

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.3696307830417 & 0.133282215524497 \tabularnewline
0.02 & 14.4831007533528 & 0.160989877415384 \tabularnewline
0.03 & 14.5960428466751 & 0.151186080847043 \tabularnewline
0.04 & 14.6890115292122 & 0.128977665796584 \tabularnewline
0.05 & 14.7625803497065 & 0.119164372025443 \tabularnewline
0.06 & 14.8252549032824 & 0.128057844547885 \tabularnewline
0.07 & 14.8850268312235 & 0.145904724974309 \tabularnewline
0.08 & 14.9457689589456 & 0.16061531158129 \tabularnewline
0.09 & 15.0074486157636 & 0.166535797135396 \tabularnewline
0.1 & 15.0681652701913 & 0.1646682164494 \tabularnewline
0.11 & 15.1261063313765 & 0.159259249002012 \tabularnewline
0.12 & 15.180446001385 & 0.153974689220116 \tabularnewline
0.13 & 15.2312541537559 & 0.150093765956089 \tabularnewline
0.14 & 15.2789928514166 & 0.147064385442773 \tabularnewline
0.15 & 15.3240985227761 & 0.143906186328132 \tabularnewline
0.16 & 15.3668239141475 & 0.140128611808802 \tabularnewline
0.17 & 15.4072695693973 & 0.135739414310247 \tabularnewline
0.18 & 15.4454707081649 & 0.130933746238134 \tabularnewline
0.19 & 15.4814572073568 & 0.125843702469298 \tabularnewline
0.2 & 15.515273956984 & 0.120526838758784 \tabularnewline
0.21 & 15.5469833531118 & 0.115020228031652 \tabularnewline
0.22 & 15.5766698417673 & 0.109451675578974 \tabularnewline
0.23 & 15.6044503104769 & 0.104069829134124 \tabularnewline
0.24 & 15.6304827386174 & 0.099143493109178 \tabularnewline
0.25 & 15.6549647667216 & 0.0949105968380195 \tabularnewline
0.26 & 15.6781198354848 & 0.0914773537367282 \tabularnewline
0.27 & 15.7001750299119 & 0.0888326297973831 \tabularnewline
0.28 & 15.7213380335611 & 0.086841602777173 \tabularnewline
0.29 & 15.7417802632803 & 0.0853201380918994 \tabularnewline
0.3 & 15.7616306930616 & 0.0840924588008273 \tabularnewline
0.31 & 15.7809815670888 & 0.0830002882809708 \tabularnewline
0.32 & 15.7999040211171 & 0.0820402475756906 \tabularnewline
0.33 & 15.8184689745103 & 0.0812710818201862 \tabularnewline
0.34 & 15.8367668410273 & 0.0808993632406767 \tabularnewline
0.35 & 15.8549191030487 & 0.081131697162689 \tabularnewline
0.36 & 15.873076120939 & 0.0821867660370537 \tabularnewline
0.37 & 15.8913989282396 & 0.0841103939886475 \tabularnewline
0.38 & 15.910027732892 & 0.0867456995800776 \tabularnewline
0.39 & 15.9290451069748 & 0.0896389210761446 \tabularnewline
0.4 & 15.948445541171 & 0.0922466108912136 \tabularnewline
0.41 & 15.9681234223945 & 0.0939437845026125 \tabularnewline
0.42 & 15.9878877569202 & 0.0942834594341215 \tabularnewline
0.43 & 16.0075047763124 & 0.0931499670226456 \tabularnewline
0.44 & 16.026761012072 & 0.0907360015318361 \tabularnewline
0.45 & 16.0455323024296 & 0.0877423429846289 \tabularnewline
0.46 & 16.0638409606783 & 0.0851028272095809 \tabularnewline
0.47 & 16.0818851819927 & 0.0839369189483502 \tabularnewline
0.48 & 16.1000312038029 & 0.0851649154075419 \tabularnewline
0.49 & 16.1187678231484 & 0.0893781550939946 \tabularnewline
0.5 & 16.1386319574031 & 0.0965106545356192 \tabularnewline
0.51 & 16.1601205412115 & 0.105979354252181 \tabularnewline
0.52 & 16.1836066220867 & 0.116793930824351 \tabularnewline
0.53 & 16.2092757435697 & 0.127810865774547 \tabularnewline
0.54 & 16.2370934602362 & 0.137875307663364 \tabularnewline
0.55 & 16.2668077696978 & 0.146004179575568 \tabularnewline
0.56 & 16.2979832672914 & 0.151450871303583 \tabularnewline
0.57 & 16.330058530749 & 0.15386301988586 \tabularnewline
0.58 & 16.3624155537375 & 0.153172138700596 \tabularnewline
0.59 & 16.3944500778788 & 0.149607878004463 \tabularnewline
0.6 & 16.4256338123091 & 0.14374176162379 \tabularnewline
0.61 & 16.4555627438615 & 0.136205601120836 \tabularnewline
0.62 & 16.4839889547494 & 0.127827925521211 \tabularnewline
0.63 & 16.5108358007311 & 0.11942127946249 \tabularnewline
0.64 & 16.5361976618763 & 0.111743051431469 \tabularnewline
0.65 & 16.5603259133836 & 0.105523666434554 \tabularnewline
0.66 & 16.5836026877048 & 0.101330799792996 \tabularnewline
0.67 & 16.6065038376845 & 0.0995339270624267 \tabularnewline
0.68 & 16.6295525451 & 0.100234618937968 \tabularnewline
0.69 & 16.6532653941982 & 0.103260429830074 \tabularnewline
0.7 & 16.6780935798936 & 0.108146322457592 \tabularnewline
0.71 & 16.7043634539308 & 0.114154895751326 \tabularnewline
0.72 & 16.7322229827815 & 0.120390246028587 \tabularnewline
0.73 & 16.7616036303565 & 0.125815457667347 \tabularnewline
0.74 & 16.792209621137 & 0.12942156471719 \tabularnewline
0.75 & 16.8235466289041 & 0.130432718776456 \tabularnewline
0.76 & 16.8549977180269 & 0.12840467292354 \tabularnewline
0.77 & 16.8859450526972 & 0.123507316095291 \tabularnewline
0.78 & 16.9159230548757 & 0.116516246990847 \tabularnewline
0.79 & 16.9447763925894 & 0.10890616322802 \tabularnewline
0.8 & 16.9727893846621 & 0.102611053883331 \tabularnewline
0.81 & 17.0007551206425 & 0.0998438019269363 \tabularnewline
0.82 & 17.0299615150658 & 0.102488914599081 \tabularnewline
0.83 & 17.06208273192 & 0.111670118225623 \tabularnewline
0.84 & 17.0989743046942 & 0.127246579047518 \tabularnewline
0.85 & 17.1423829625322 & 0.147883598894803 \tabularnewline
0.86 & 17.1936103607932 & 0.1710481605847 \tabularnewline
0.87 & 17.2532222919286 & 0.193395196734375 \tabularnewline
0.88 & 17.3209513550594 & 0.211515689926782 \tabularnewline
0.89 & 17.3959363406892 & 0.223266140033734 \tabularnewline
0.9 & 17.477295970592 & 0.229083198172649 \tabularnewline
0.91 & 17.5647502136575 & 0.232221066278508 \tabularnewline
0.92 & 17.6587669128171 & 0.236272654230496 \tabularnewline
0.93 & 17.759860954235 & 0.240983997313283 \tabularnewline
0.94 & 17.8674160822319 & 0.240536437731701 \tabularnewline
0.95 & 17.9794659085207 & 0.228336537961459 \tabularnewline
0.96 & 18.0954010952657 & 0.205505964368535 \tabularnewline
0.97 & 18.2220070986621 & 0.187914666251302 \tabularnewline
0.98 & 18.3759728629669 & 0.200272671210025 \tabularnewline
0.99 & 18.5596142415017 & 0.247780096065899 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119725&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]14.3696307830417[/C][C]0.133282215524497[/C][/ROW]
[ROW][C]0.02[/C][C]14.4831007533528[/C][C]0.160989877415384[/C][/ROW]
[ROW][C]0.03[/C][C]14.5960428466751[/C][C]0.151186080847043[/C][/ROW]
[ROW][C]0.04[/C][C]14.6890115292122[/C][C]0.128977665796584[/C][/ROW]
[ROW][C]0.05[/C][C]14.7625803497065[/C][C]0.119164372025443[/C][/ROW]
[ROW][C]0.06[/C][C]14.8252549032824[/C][C]0.128057844547885[/C][/ROW]
[ROW][C]0.07[/C][C]14.8850268312235[/C][C]0.145904724974309[/C][/ROW]
[ROW][C]0.08[/C][C]14.9457689589456[/C][C]0.16061531158129[/C][/ROW]
[ROW][C]0.09[/C][C]15.0074486157636[/C][C]0.166535797135396[/C][/ROW]
[ROW][C]0.1[/C][C]15.0681652701913[/C][C]0.1646682164494[/C][/ROW]
[ROW][C]0.11[/C][C]15.1261063313765[/C][C]0.159259249002012[/C][/ROW]
[ROW][C]0.12[/C][C]15.180446001385[/C][C]0.153974689220116[/C][/ROW]
[ROW][C]0.13[/C][C]15.2312541537559[/C][C]0.150093765956089[/C][/ROW]
[ROW][C]0.14[/C][C]15.2789928514166[/C][C]0.147064385442773[/C][/ROW]
[ROW][C]0.15[/C][C]15.3240985227761[/C][C]0.143906186328132[/C][/ROW]
[ROW][C]0.16[/C][C]15.3668239141475[/C][C]0.140128611808802[/C][/ROW]
[ROW][C]0.17[/C][C]15.4072695693973[/C][C]0.135739414310247[/C][/ROW]
[ROW][C]0.18[/C][C]15.4454707081649[/C][C]0.130933746238134[/C][/ROW]
[ROW][C]0.19[/C][C]15.4814572073568[/C][C]0.125843702469298[/C][/ROW]
[ROW][C]0.2[/C][C]15.515273956984[/C][C]0.120526838758784[/C][/ROW]
[ROW][C]0.21[/C][C]15.5469833531118[/C][C]0.115020228031652[/C][/ROW]
[ROW][C]0.22[/C][C]15.5766698417673[/C][C]0.109451675578974[/C][/ROW]
[ROW][C]0.23[/C][C]15.6044503104769[/C][C]0.104069829134124[/C][/ROW]
[ROW][C]0.24[/C][C]15.6304827386174[/C][C]0.099143493109178[/C][/ROW]
[ROW][C]0.25[/C][C]15.6549647667216[/C][C]0.0949105968380195[/C][/ROW]
[ROW][C]0.26[/C][C]15.6781198354848[/C][C]0.0914773537367282[/C][/ROW]
[ROW][C]0.27[/C][C]15.7001750299119[/C][C]0.0888326297973831[/C][/ROW]
[ROW][C]0.28[/C][C]15.7213380335611[/C][C]0.086841602777173[/C][/ROW]
[ROW][C]0.29[/C][C]15.7417802632803[/C][C]0.0853201380918994[/C][/ROW]
[ROW][C]0.3[/C][C]15.7616306930616[/C][C]0.0840924588008273[/C][/ROW]
[ROW][C]0.31[/C][C]15.7809815670888[/C][C]0.0830002882809708[/C][/ROW]
[ROW][C]0.32[/C][C]15.7999040211171[/C][C]0.0820402475756906[/C][/ROW]
[ROW][C]0.33[/C][C]15.8184689745103[/C][C]0.0812710818201862[/C][/ROW]
[ROW][C]0.34[/C][C]15.8367668410273[/C][C]0.0808993632406767[/C][/ROW]
[ROW][C]0.35[/C][C]15.8549191030487[/C][C]0.081131697162689[/C][/ROW]
[ROW][C]0.36[/C][C]15.873076120939[/C][C]0.0821867660370537[/C][/ROW]
[ROW][C]0.37[/C][C]15.8913989282396[/C][C]0.0841103939886475[/C][/ROW]
[ROW][C]0.38[/C][C]15.910027732892[/C][C]0.0867456995800776[/C][/ROW]
[ROW][C]0.39[/C][C]15.9290451069748[/C][C]0.0896389210761446[/C][/ROW]
[ROW][C]0.4[/C][C]15.948445541171[/C][C]0.0922466108912136[/C][/ROW]
[ROW][C]0.41[/C][C]15.9681234223945[/C][C]0.0939437845026125[/C][/ROW]
[ROW][C]0.42[/C][C]15.9878877569202[/C][C]0.0942834594341215[/C][/ROW]
[ROW][C]0.43[/C][C]16.0075047763124[/C][C]0.0931499670226456[/C][/ROW]
[ROW][C]0.44[/C][C]16.026761012072[/C][C]0.0907360015318361[/C][/ROW]
[ROW][C]0.45[/C][C]16.0455323024296[/C][C]0.0877423429846289[/C][/ROW]
[ROW][C]0.46[/C][C]16.0638409606783[/C][C]0.0851028272095809[/C][/ROW]
[ROW][C]0.47[/C][C]16.0818851819927[/C][C]0.0839369189483502[/C][/ROW]
[ROW][C]0.48[/C][C]16.1000312038029[/C][C]0.0851649154075419[/C][/ROW]
[ROW][C]0.49[/C][C]16.1187678231484[/C][C]0.0893781550939946[/C][/ROW]
[ROW][C]0.5[/C][C]16.1386319574031[/C][C]0.0965106545356192[/C][/ROW]
[ROW][C]0.51[/C][C]16.1601205412115[/C][C]0.105979354252181[/C][/ROW]
[ROW][C]0.52[/C][C]16.1836066220867[/C][C]0.116793930824351[/C][/ROW]
[ROW][C]0.53[/C][C]16.2092757435697[/C][C]0.127810865774547[/C][/ROW]
[ROW][C]0.54[/C][C]16.2370934602362[/C][C]0.137875307663364[/C][/ROW]
[ROW][C]0.55[/C][C]16.2668077696978[/C][C]0.146004179575568[/C][/ROW]
[ROW][C]0.56[/C][C]16.2979832672914[/C][C]0.151450871303583[/C][/ROW]
[ROW][C]0.57[/C][C]16.330058530749[/C][C]0.15386301988586[/C][/ROW]
[ROW][C]0.58[/C][C]16.3624155537375[/C][C]0.153172138700596[/C][/ROW]
[ROW][C]0.59[/C][C]16.3944500778788[/C][C]0.149607878004463[/C][/ROW]
[ROW][C]0.6[/C][C]16.4256338123091[/C][C]0.14374176162379[/C][/ROW]
[ROW][C]0.61[/C][C]16.4555627438615[/C][C]0.136205601120836[/C][/ROW]
[ROW][C]0.62[/C][C]16.4839889547494[/C][C]0.127827925521211[/C][/ROW]
[ROW][C]0.63[/C][C]16.5108358007311[/C][C]0.11942127946249[/C][/ROW]
[ROW][C]0.64[/C][C]16.5361976618763[/C][C]0.111743051431469[/C][/ROW]
[ROW][C]0.65[/C][C]16.5603259133836[/C][C]0.105523666434554[/C][/ROW]
[ROW][C]0.66[/C][C]16.5836026877048[/C][C]0.101330799792996[/C][/ROW]
[ROW][C]0.67[/C][C]16.6065038376845[/C][C]0.0995339270624267[/C][/ROW]
[ROW][C]0.68[/C][C]16.6295525451[/C][C]0.100234618937968[/C][/ROW]
[ROW][C]0.69[/C][C]16.6532653941982[/C][C]0.103260429830074[/C][/ROW]
[ROW][C]0.7[/C][C]16.6780935798936[/C][C]0.108146322457592[/C][/ROW]
[ROW][C]0.71[/C][C]16.7043634539308[/C][C]0.114154895751326[/C][/ROW]
[ROW][C]0.72[/C][C]16.7322229827815[/C][C]0.120390246028587[/C][/ROW]
[ROW][C]0.73[/C][C]16.7616036303565[/C][C]0.125815457667347[/C][/ROW]
[ROW][C]0.74[/C][C]16.792209621137[/C][C]0.12942156471719[/C][/ROW]
[ROW][C]0.75[/C][C]16.8235466289041[/C][C]0.130432718776456[/C][/ROW]
[ROW][C]0.76[/C][C]16.8549977180269[/C][C]0.12840467292354[/C][/ROW]
[ROW][C]0.77[/C][C]16.8859450526972[/C][C]0.123507316095291[/C][/ROW]
[ROW][C]0.78[/C][C]16.9159230548757[/C][C]0.116516246990847[/C][/ROW]
[ROW][C]0.79[/C][C]16.9447763925894[/C][C]0.10890616322802[/C][/ROW]
[ROW][C]0.8[/C][C]16.9727893846621[/C][C]0.102611053883331[/C][/ROW]
[ROW][C]0.81[/C][C]17.0007551206425[/C][C]0.0998438019269363[/C][/ROW]
[ROW][C]0.82[/C][C]17.0299615150658[/C][C]0.102488914599081[/C][/ROW]
[ROW][C]0.83[/C][C]17.06208273192[/C][C]0.111670118225623[/C][/ROW]
[ROW][C]0.84[/C][C]17.0989743046942[/C][C]0.127246579047518[/C][/ROW]
[ROW][C]0.85[/C][C]17.1423829625322[/C][C]0.147883598894803[/C][/ROW]
[ROW][C]0.86[/C][C]17.1936103607932[/C][C]0.1710481605847[/C][/ROW]
[ROW][C]0.87[/C][C]17.2532222919286[/C][C]0.193395196734375[/C][/ROW]
[ROW][C]0.88[/C][C]17.3209513550594[/C][C]0.211515689926782[/C][/ROW]
[ROW][C]0.89[/C][C]17.3959363406892[/C][C]0.223266140033734[/C][/ROW]
[ROW][C]0.9[/C][C]17.477295970592[/C][C]0.229083198172649[/C][/ROW]
[ROW][C]0.91[/C][C]17.5647502136575[/C][C]0.232221066278508[/C][/ROW]
[ROW][C]0.92[/C][C]17.6587669128171[/C][C]0.236272654230496[/C][/ROW]
[ROW][C]0.93[/C][C]17.759860954235[/C][C]0.240983997313283[/C][/ROW]
[ROW][C]0.94[/C][C]17.8674160822319[/C][C]0.240536437731701[/C][/ROW]
[ROW][C]0.95[/C][C]17.9794659085207[/C][C]0.228336537961459[/C][/ROW]
[ROW][C]0.96[/C][C]18.0954010952657[/C][C]0.205505964368535[/C][/ROW]
[ROW][C]0.97[/C][C]18.2220070986621[/C][C]0.187914666251302[/C][/ROW]
[ROW][C]0.98[/C][C]18.3759728629669[/C][C]0.200272671210025[/C][/ROW]
[ROW][C]0.99[/C][C]18.5596142415017[/C][C]0.247780096065899[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119725&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119725&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
0.0114.36963078304170.133282215524497
0.0214.48310075335280.160989877415384
0.0314.59604284667510.151186080847043
0.0414.68901152921220.128977665796584
0.0514.76258034970650.119164372025443
0.0614.82525490328240.128057844547885
0.0714.88502683122350.145904724974309
0.0814.94576895894560.16061531158129
0.0915.00744861576360.166535797135396
0.115.06816527019130.1646682164494
0.1115.12610633137650.159259249002012
0.1215.1804460013850.153974689220116
0.1315.23125415375590.150093765956089
0.1415.27899285141660.147064385442773
0.1515.32409852277610.143906186328132
0.1615.36682391414750.140128611808802
0.1715.40726956939730.135739414310247
0.1815.44547070816490.130933746238134
0.1915.48145720735680.125843702469298
0.215.5152739569840.120526838758784
0.2115.54698335311180.115020228031652
0.2215.57666984176730.109451675578974
0.2315.60445031047690.104069829134124
0.2415.63048273861740.099143493109178
0.2515.65496476672160.0949105968380195
0.2615.67811983548480.0914773537367282
0.2715.70017502991190.0888326297973831
0.2815.72133803356110.086841602777173
0.2915.74178026328030.0853201380918994
0.315.76163069306160.0840924588008273
0.3115.78098156708880.0830002882809708
0.3215.79990402111710.0820402475756906
0.3315.81846897451030.0812710818201862
0.3415.83676684102730.0808993632406767
0.3515.85491910304870.081131697162689
0.3615.8730761209390.0821867660370537
0.3715.89139892823960.0841103939886475
0.3815.9100277328920.0867456995800776
0.3915.92904510697480.0896389210761446
0.415.9484455411710.0922466108912136
0.4115.96812342239450.0939437845026125
0.4215.98788775692020.0942834594341215
0.4316.00750477631240.0931499670226456
0.4416.0267610120720.0907360015318361
0.4516.04553230242960.0877423429846289
0.4616.06384096067830.0851028272095809
0.4716.08188518199270.0839369189483502
0.4816.10003120380290.0851649154075419
0.4916.11876782314840.0893781550939946
0.516.13863195740310.0965106545356192
0.5116.16012054121150.105979354252181
0.5216.18360662208670.116793930824351
0.5316.20927574356970.127810865774547
0.5416.23709346023620.137875307663364
0.5516.26680776969780.146004179575568
0.5616.29798326729140.151450871303583
0.5716.3300585307490.15386301988586
0.5816.36241555373750.153172138700596
0.5916.39445007787880.149607878004463
0.616.42563381230910.14374176162379
0.6116.45556274386150.136205601120836
0.6216.48398895474940.127827925521211
0.6316.51083580073110.11942127946249
0.6416.53619766187630.111743051431469
0.6516.56032591338360.105523666434554
0.6616.58360268770480.101330799792996
0.6716.60650383768450.0995339270624267
0.6816.62955254510.100234618937968
0.6916.65326539419820.103260429830074
0.716.67809357989360.108146322457592
0.7116.70436345393080.114154895751326
0.7216.73222298278150.120390246028587
0.7316.76160363035650.125815457667347
0.7416.7922096211370.12942156471719
0.7516.82354662890410.130432718776456
0.7616.85499771802690.12840467292354
0.7716.88594505269720.123507316095291
0.7816.91592305487570.116516246990847
0.7916.94477639258940.10890616322802
0.816.97278938466210.102611053883331
0.8117.00075512064250.0998438019269363
0.8217.02996151506580.102488914599081
0.8317.062082731920.111670118225623
0.8417.09897430469420.127246579047518
0.8517.14238296253220.147883598894803
0.8617.19361036079320.1710481605847
0.8717.25322229192860.193395196734375
0.8817.32095135505940.211515689926782
0.8917.39593634068920.223266140033734
0.917.4772959705920.229083198172649
0.9117.56475021365750.232221066278508
0.9217.65876691281710.236272654230496
0.9317.7598609542350.240983997313283
0.9417.86741608223190.240536437731701
0.9517.97946590852070.228336537961459
0.9618.09540109526570.205505964368535
0.9718.22200709866210.187914666251302
0.9818.37597286296690.200272671210025
0.9918.55961424150170.247780096065899


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')