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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 08:24:55 -0600
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/Oct/20/t12245127306422po9nrilhq0f.htm/, Retrieved Tue, 28 May 2024 18:54:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17359, Retrieved Tue, 28 May 2024 18:54:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [werkloosheid mannen] [2008-10-13 15:39:35] [e43247bc0ab243a5af99ac7f55ba0b41]
F   PD  [Univariate Data Series] [werkloosheid onde...] [2008-10-13 15:49:45] [e43247bc0ab243a5af99ac7f55ba0b41]
- RMPD      [Harrell-Davis Quantiles] [harrel davis tijd...] [2008-10-20 14:24:55] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21.1
21.0
20.4
19.5
18.6
18.8
23.7
24.8
25.0
23.6
22.3
21.8
20.8
19.7
18.3
17.4
17.0
18.1
23.9
25.6
25.3
23.6
21.9
21.4
20.6
20.5
20.2
20.6
19.7
19.3
22.8
23.5
23.8
22.6
22.0
21.7
20.7
20.2
19.1
19.5
18.7
18.6
22.2
23.2
23.5
21.3
20.0
18.7
18.9
18.3
18.4
19.9
19.2
18.5
20.9
20.5
19.4
18.1
17.0
17.0
17.3
16.7
15.5
15.3
13.7
14.1
17.3
18.1

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17359&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17359&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17359&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.89304024713920.560165109422981
0.0214.24135621770290.782596989553779
0.0314.67427385196790.919229046297212
0.0415.12506343047880.954304622891025
0.0515.55052296203410.923286031415934
0.0615.92864284729370.850604222654737
0.0716.25132878509240.750440949471288
0.0816.51901275394810.639967341062452
0.0916.73766336900020.539851259647606
0.116.91673247379790.467051917538099
0.1117.06708284869070.428455221775919
0.1217.19894843243580.419275319097857
0.1317.32041065329540.427641688702844
0.1417.43670750014210.441432780939948
0.1517.55033755698280.451825290245277
0.1617.66168626898610.453838682466697
0.1717.76985370403540.445825668626847
0.1817.87343460779940.428680006380978
0.1917.97110930970180.404952712491911
0.218.06199887787340.377906252333565
0.2118.14580334402800.350679762454808
0.2218.22277778529420.325856813249473
0.2318.29361273416380.305108501138584
0.2418.35927926321080.289262864213868
0.2518.42088229608740.278573303794010
0.2618.47954543752750.272867753022863
0.2718.53633290742280.271724299911641
0.2818.59220262711570.274665240977903
0.2918.6479799659680.281123294659992
0.318.70434268750320.290396875899473
0.3118.76181166001230.301697762301781
0.3218.82074631776010.314130853829412
0.3318.88134683666940.326792461820767
0.3418.94366574849150.338941658130321
0.3519.00763045226090.349855232485513
0.3619.07307561231390.359243745273254
0.3719.1397818009920.366946912566446
0.3819.20751486495960.373089535872273
0.3919.27605992627840.37799072676925
0.419.34524479754060.382073447238106
0.4119.41494962909780.385676780841023
0.4219.48510229018780.389201089762848
0.4319.55566169394520.392684252049763
0.4419.62659344805290.396082218110575
0.4519.69784345931350.399162774852449
0.4619.76931527876660.401452291453788
0.4719.84085610422130.402558662420632
0.4819.91225469595210.401984362667814
0.4919.98325235209310.399469077103511
0.520.05356590805810.394892693800531
0.5120.12291981154280.388351697813628
0.5220.19108294471150.380222561306333
0.5320.25790517624480.371090089163108
0.5420.32334867299580.361692726477050
0.5520.38750972247030.352968324494993
0.5620.45062806365770.345875014217623
0.5720.51308228599760.341191706739834
0.5820.57537150299800.339706007111783
0.5920.63808502492620.341849104681407
0.620.70186298613700.347772712408683
0.6120.76735174805270.357339664244442
0.6220.83515839873480.370090833969248
0.6320.90580885648390.385317293470710
0.6420.97971401289060.402172202410815
0.6521.05714802438890.419697189352496
0.6621.13824219964500.436996539857025
0.6721.22299677474520.453242065739202
0.6821.31131104374490.467885160198604
0.6921.40302972911570.480579732981353
0.721.49800024649740.491466976804475
0.7121.59613203839700.500985538925935
0.7221.69744612002300.509904191702478
0.7321.80210131682440.519212184932938
0.7421.91038434796080.529752553773219
0.7522.02265470482690.542098626519822
0.7622.13924250943060.556101230353476
0.7722.26030780804510.570803180842244
0.7822.38568172769640.584332409789519
0.7922.5147212851070.594125044983154
0.822.64621732547250.597241710278682
0.8122.77839589048020.590892588419283
0.8222.90904499032360.573105899582182
0.8323.03578110244630.543296099933163
0.8423.15644536293280.50268875872806
0.8523.26959310826570.454575001820912
0.8623.37501643690610.404276194565932
0.8723.47421782922260.358898048098451
0.8823.57072769888350.327072030161059
0.8923.67012380994640.317930367510664
0.923.77957548647820.337833141829142
0.9123.90674676307810.385782390098011
0.9224.05803441291470.451437466084326
0.9324.23645907140990.516692533435259
0.9424.44000557257010.55955675338794
0.9524.66148595988620.561442036585427
0.9624.89045412335630.516566106938008
0.9725.11578584392200.438113275250747
0.9825.32498100100060.356231783219642
0.9925.49731894194440.305933826516995

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.8930402471392 & 0.560165109422981 \tabularnewline
0.02 & 14.2413562177029 & 0.782596989553779 \tabularnewline
0.03 & 14.6742738519679 & 0.919229046297212 \tabularnewline
0.04 & 15.1250634304788 & 0.954304622891025 \tabularnewline
0.05 & 15.5505229620341 & 0.923286031415934 \tabularnewline
0.06 & 15.9286428472937 & 0.850604222654737 \tabularnewline
0.07 & 16.2513287850924 & 0.750440949471288 \tabularnewline
0.08 & 16.5190127539481 & 0.639967341062452 \tabularnewline
0.09 & 16.7376633690002 & 0.539851259647606 \tabularnewline
0.1 & 16.9167324737979 & 0.467051917538099 \tabularnewline
0.11 & 17.0670828486907 & 0.428455221775919 \tabularnewline
0.12 & 17.1989484324358 & 0.419275319097857 \tabularnewline
0.13 & 17.3204106532954 & 0.427641688702844 \tabularnewline
0.14 & 17.4367075001421 & 0.441432780939948 \tabularnewline
0.15 & 17.5503375569828 & 0.451825290245277 \tabularnewline
0.16 & 17.6616862689861 & 0.453838682466697 \tabularnewline
0.17 & 17.7698537040354 & 0.445825668626847 \tabularnewline
0.18 & 17.8734346077994 & 0.428680006380978 \tabularnewline
0.19 & 17.9711093097018 & 0.404952712491911 \tabularnewline
0.2 & 18.0619988778734 & 0.377906252333565 \tabularnewline
0.21 & 18.1458033440280 & 0.350679762454808 \tabularnewline
0.22 & 18.2227777852942 & 0.325856813249473 \tabularnewline
0.23 & 18.2936127341638 & 0.305108501138584 \tabularnewline
0.24 & 18.3592792632108 & 0.289262864213868 \tabularnewline
0.25 & 18.4208822960874 & 0.278573303794010 \tabularnewline
0.26 & 18.4795454375275 & 0.272867753022863 \tabularnewline
0.27 & 18.5363329074228 & 0.271724299911641 \tabularnewline
0.28 & 18.5922026271157 & 0.274665240977903 \tabularnewline
0.29 & 18.647979965968 & 0.281123294659992 \tabularnewline
0.3 & 18.7043426875032 & 0.290396875899473 \tabularnewline
0.31 & 18.7618116600123 & 0.301697762301781 \tabularnewline
0.32 & 18.8207463177601 & 0.314130853829412 \tabularnewline
0.33 & 18.8813468366694 & 0.326792461820767 \tabularnewline
0.34 & 18.9436657484915 & 0.338941658130321 \tabularnewline
0.35 & 19.0076304522609 & 0.349855232485513 \tabularnewline
0.36 & 19.0730756123139 & 0.359243745273254 \tabularnewline
0.37 & 19.139781800992 & 0.366946912566446 \tabularnewline
0.38 & 19.2075148649596 & 0.373089535872273 \tabularnewline
0.39 & 19.2760599262784 & 0.37799072676925 \tabularnewline
0.4 & 19.3452447975406 & 0.382073447238106 \tabularnewline
0.41 & 19.4149496290978 & 0.385676780841023 \tabularnewline
0.42 & 19.4851022901878 & 0.389201089762848 \tabularnewline
0.43 & 19.5556616939452 & 0.392684252049763 \tabularnewline
0.44 & 19.6265934480529 & 0.396082218110575 \tabularnewline
0.45 & 19.6978434593135 & 0.399162774852449 \tabularnewline
0.46 & 19.7693152787666 & 0.401452291453788 \tabularnewline
0.47 & 19.8408561042213 & 0.402558662420632 \tabularnewline
0.48 & 19.9122546959521 & 0.401984362667814 \tabularnewline
0.49 & 19.9832523520931 & 0.399469077103511 \tabularnewline
0.5 & 20.0535659080581 & 0.394892693800531 \tabularnewline
0.51 & 20.1229198115428 & 0.388351697813628 \tabularnewline
0.52 & 20.1910829447115 & 0.380222561306333 \tabularnewline
0.53 & 20.2579051762448 & 0.371090089163108 \tabularnewline
0.54 & 20.3233486729958 & 0.361692726477050 \tabularnewline
0.55 & 20.3875097224703 & 0.352968324494993 \tabularnewline
0.56 & 20.4506280636577 & 0.345875014217623 \tabularnewline
0.57 & 20.5130822859976 & 0.341191706739834 \tabularnewline
0.58 & 20.5753715029980 & 0.339706007111783 \tabularnewline
0.59 & 20.6380850249262 & 0.341849104681407 \tabularnewline
0.6 & 20.7018629861370 & 0.347772712408683 \tabularnewline
0.61 & 20.7673517480527 & 0.357339664244442 \tabularnewline
0.62 & 20.8351583987348 & 0.370090833969248 \tabularnewline
0.63 & 20.9058088564839 & 0.385317293470710 \tabularnewline
0.64 & 20.9797140128906 & 0.402172202410815 \tabularnewline
0.65 & 21.0571480243889 & 0.419697189352496 \tabularnewline
0.66 & 21.1382421996450 & 0.436996539857025 \tabularnewline
0.67 & 21.2229967747452 & 0.453242065739202 \tabularnewline
0.68 & 21.3113110437449 & 0.467885160198604 \tabularnewline
0.69 & 21.4030297291157 & 0.480579732981353 \tabularnewline
0.7 & 21.4980002464974 & 0.491466976804475 \tabularnewline
0.71 & 21.5961320383970 & 0.500985538925935 \tabularnewline
0.72 & 21.6974461200230 & 0.509904191702478 \tabularnewline
0.73 & 21.8021013168244 & 0.519212184932938 \tabularnewline
0.74 & 21.9103843479608 & 0.529752553773219 \tabularnewline
0.75 & 22.0226547048269 & 0.542098626519822 \tabularnewline
0.76 & 22.1392425094306 & 0.556101230353476 \tabularnewline
0.77 & 22.2603078080451 & 0.570803180842244 \tabularnewline
0.78 & 22.3856817276964 & 0.584332409789519 \tabularnewline
0.79 & 22.514721285107 & 0.594125044983154 \tabularnewline
0.8 & 22.6462173254725 & 0.597241710278682 \tabularnewline
0.81 & 22.7783958904802 & 0.590892588419283 \tabularnewline
0.82 & 22.9090449903236 & 0.573105899582182 \tabularnewline
0.83 & 23.0357811024463 & 0.543296099933163 \tabularnewline
0.84 & 23.1564453629328 & 0.50268875872806 \tabularnewline
0.85 & 23.2695931082657 & 0.454575001820912 \tabularnewline
0.86 & 23.3750164369061 & 0.404276194565932 \tabularnewline
0.87 & 23.4742178292226 & 0.358898048098451 \tabularnewline
0.88 & 23.5707276988835 & 0.327072030161059 \tabularnewline
0.89 & 23.6701238099464 & 0.317930367510664 \tabularnewline
0.9 & 23.7795754864782 & 0.337833141829142 \tabularnewline
0.91 & 23.9067467630781 & 0.385782390098011 \tabularnewline
0.92 & 24.0580344129147 & 0.451437466084326 \tabularnewline
0.93 & 24.2364590714099 & 0.516692533435259 \tabularnewline
0.94 & 24.4400055725701 & 0.55955675338794 \tabularnewline
0.95 & 24.6614859598862 & 0.561442036585427 \tabularnewline
0.96 & 24.8904541233563 & 0.516566106938008 \tabularnewline
0.97 & 25.1157858439220 & 0.438113275250747 \tabularnewline
0.98 & 25.3249810010006 & 0.356231783219642 \tabularnewline
0.99 & 25.4973189419444 & 0.305933826516995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17359&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]13.8930402471392[/C][C]0.560165109422981[/C][/ROW]
[ROW][C]0.02[/C][C]14.2413562177029[/C][C]0.782596989553779[/C][/ROW]
[ROW][C]0.03[/C][C]14.6742738519679[/C][C]0.919229046297212[/C][/ROW]
[ROW][C]0.04[/C][C]15.1250634304788[/C][C]0.954304622891025[/C][/ROW]
[ROW][C]0.05[/C][C]15.5505229620341[/C][C]0.923286031415934[/C][/ROW]
[ROW][C]0.06[/C][C]15.9286428472937[/C][C]0.850604222654737[/C][/ROW]
[ROW][C]0.07[/C][C]16.2513287850924[/C][C]0.750440949471288[/C][/ROW]
[ROW][C]0.08[/C][C]16.5190127539481[/C][C]0.639967341062452[/C][/ROW]
[ROW][C]0.09[/C][C]16.7376633690002[/C][C]0.539851259647606[/C][/ROW]
[ROW][C]0.1[/C][C]16.9167324737979[/C][C]0.467051917538099[/C][/ROW]
[ROW][C]0.11[/C][C]17.0670828486907[/C][C]0.428455221775919[/C][/ROW]
[ROW][C]0.12[/C][C]17.1989484324358[/C][C]0.419275319097857[/C][/ROW]
[ROW][C]0.13[/C][C]17.3204106532954[/C][C]0.427641688702844[/C][/ROW]
[ROW][C]0.14[/C][C]17.4367075001421[/C][C]0.441432780939948[/C][/ROW]
[ROW][C]0.15[/C][C]17.5503375569828[/C][C]0.451825290245277[/C][/ROW]
[ROW][C]0.16[/C][C]17.6616862689861[/C][C]0.453838682466697[/C][/ROW]
[ROW][C]0.17[/C][C]17.7698537040354[/C][C]0.445825668626847[/C][/ROW]
[ROW][C]0.18[/C][C]17.8734346077994[/C][C]0.428680006380978[/C][/ROW]
[ROW][C]0.19[/C][C]17.9711093097018[/C][C]0.404952712491911[/C][/ROW]
[ROW][C]0.2[/C][C]18.0619988778734[/C][C]0.377906252333565[/C][/ROW]
[ROW][C]0.21[/C][C]18.1458033440280[/C][C]0.350679762454808[/C][/ROW]
[ROW][C]0.22[/C][C]18.2227777852942[/C][C]0.325856813249473[/C][/ROW]
[ROW][C]0.23[/C][C]18.2936127341638[/C][C]0.305108501138584[/C][/ROW]
[ROW][C]0.24[/C][C]18.3592792632108[/C][C]0.289262864213868[/C][/ROW]
[ROW][C]0.25[/C][C]18.4208822960874[/C][C]0.278573303794010[/C][/ROW]
[ROW][C]0.26[/C][C]18.4795454375275[/C][C]0.272867753022863[/C][/ROW]
[ROW][C]0.27[/C][C]18.5363329074228[/C][C]0.271724299911641[/C][/ROW]
[ROW][C]0.28[/C][C]18.5922026271157[/C][C]0.274665240977903[/C][/ROW]
[ROW][C]0.29[/C][C]18.647979965968[/C][C]0.281123294659992[/C][/ROW]
[ROW][C]0.3[/C][C]18.7043426875032[/C][C]0.290396875899473[/C][/ROW]
[ROW][C]0.31[/C][C]18.7618116600123[/C][C]0.301697762301781[/C][/ROW]
[ROW][C]0.32[/C][C]18.8207463177601[/C][C]0.314130853829412[/C][/ROW]
[ROW][C]0.33[/C][C]18.8813468366694[/C][C]0.326792461820767[/C][/ROW]
[ROW][C]0.34[/C][C]18.9436657484915[/C][C]0.338941658130321[/C][/ROW]
[ROW][C]0.35[/C][C]19.0076304522609[/C][C]0.349855232485513[/C][/ROW]
[ROW][C]0.36[/C][C]19.0730756123139[/C][C]0.359243745273254[/C][/ROW]
[ROW][C]0.37[/C][C]19.139781800992[/C][C]0.366946912566446[/C][/ROW]
[ROW][C]0.38[/C][C]19.2075148649596[/C][C]0.373089535872273[/C][/ROW]
[ROW][C]0.39[/C][C]19.2760599262784[/C][C]0.37799072676925[/C][/ROW]
[ROW][C]0.4[/C][C]19.3452447975406[/C][C]0.382073447238106[/C][/ROW]
[ROW][C]0.41[/C][C]19.4149496290978[/C][C]0.385676780841023[/C][/ROW]
[ROW][C]0.42[/C][C]19.4851022901878[/C][C]0.389201089762848[/C][/ROW]
[ROW][C]0.43[/C][C]19.5556616939452[/C][C]0.392684252049763[/C][/ROW]
[ROW][C]0.44[/C][C]19.6265934480529[/C][C]0.396082218110575[/C][/ROW]
[ROW][C]0.45[/C][C]19.6978434593135[/C][C]0.399162774852449[/C][/ROW]
[ROW][C]0.46[/C][C]19.7693152787666[/C][C]0.401452291453788[/C][/ROW]
[ROW][C]0.47[/C][C]19.8408561042213[/C][C]0.402558662420632[/C][/ROW]
[ROW][C]0.48[/C][C]19.9122546959521[/C][C]0.401984362667814[/C][/ROW]
[ROW][C]0.49[/C][C]19.9832523520931[/C][C]0.399469077103511[/C][/ROW]
[ROW][C]0.5[/C][C]20.0535659080581[/C][C]0.394892693800531[/C][/ROW]
[ROW][C]0.51[/C][C]20.1229198115428[/C][C]0.388351697813628[/C][/ROW]
[ROW][C]0.52[/C][C]20.1910829447115[/C][C]0.380222561306333[/C][/ROW]
[ROW][C]0.53[/C][C]20.2579051762448[/C][C]0.371090089163108[/C][/ROW]
[ROW][C]0.54[/C][C]20.3233486729958[/C][C]0.361692726477050[/C][/ROW]
[ROW][C]0.55[/C][C]20.3875097224703[/C][C]0.352968324494993[/C][/ROW]
[ROW][C]0.56[/C][C]20.4506280636577[/C][C]0.345875014217623[/C][/ROW]
[ROW][C]0.57[/C][C]20.5130822859976[/C][C]0.341191706739834[/C][/ROW]
[ROW][C]0.58[/C][C]20.5753715029980[/C][C]0.339706007111783[/C][/ROW]
[ROW][C]0.59[/C][C]20.6380850249262[/C][C]0.341849104681407[/C][/ROW]
[ROW][C]0.6[/C][C]20.7018629861370[/C][C]0.347772712408683[/C][/ROW]
[ROW][C]0.61[/C][C]20.7673517480527[/C][C]0.357339664244442[/C][/ROW]
[ROW][C]0.62[/C][C]20.8351583987348[/C][C]0.370090833969248[/C][/ROW]
[ROW][C]0.63[/C][C]20.9058088564839[/C][C]0.385317293470710[/C][/ROW]
[ROW][C]0.64[/C][C]20.9797140128906[/C][C]0.402172202410815[/C][/ROW]
[ROW][C]0.65[/C][C]21.0571480243889[/C][C]0.419697189352496[/C][/ROW]
[ROW][C]0.66[/C][C]21.1382421996450[/C][C]0.436996539857025[/C][/ROW]
[ROW][C]0.67[/C][C]21.2229967747452[/C][C]0.453242065739202[/C][/ROW]
[ROW][C]0.68[/C][C]21.3113110437449[/C][C]0.467885160198604[/C][/ROW]
[ROW][C]0.69[/C][C]21.4030297291157[/C][C]0.480579732981353[/C][/ROW]
[ROW][C]0.7[/C][C]21.4980002464974[/C][C]0.491466976804475[/C][/ROW]
[ROW][C]0.71[/C][C]21.5961320383970[/C][C]0.500985538925935[/C][/ROW]
[ROW][C]0.72[/C][C]21.6974461200230[/C][C]0.509904191702478[/C][/ROW]
[ROW][C]0.73[/C][C]21.8021013168244[/C][C]0.519212184932938[/C][/ROW]
[ROW][C]0.74[/C][C]21.9103843479608[/C][C]0.529752553773219[/C][/ROW]
[ROW][C]0.75[/C][C]22.0226547048269[/C][C]0.542098626519822[/C][/ROW]
[ROW][C]0.76[/C][C]22.1392425094306[/C][C]0.556101230353476[/C][/ROW]
[ROW][C]0.77[/C][C]22.2603078080451[/C][C]0.570803180842244[/C][/ROW]
[ROW][C]0.78[/C][C]22.3856817276964[/C][C]0.584332409789519[/C][/ROW]
[ROW][C]0.79[/C][C]22.514721285107[/C][C]0.594125044983154[/C][/ROW]
[ROW][C]0.8[/C][C]22.6462173254725[/C][C]0.597241710278682[/C][/ROW]
[ROW][C]0.81[/C][C]22.7783958904802[/C][C]0.590892588419283[/C][/ROW]
[ROW][C]0.82[/C][C]22.9090449903236[/C][C]0.573105899582182[/C][/ROW]
[ROW][C]0.83[/C][C]23.0357811024463[/C][C]0.543296099933163[/C][/ROW]
[ROW][C]0.84[/C][C]23.1564453629328[/C][C]0.50268875872806[/C][/ROW]
[ROW][C]0.85[/C][C]23.2695931082657[/C][C]0.454575001820912[/C][/ROW]
[ROW][C]0.86[/C][C]23.3750164369061[/C][C]0.404276194565932[/C][/ROW]
[ROW][C]0.87[/C][C]23.4742178292226[/C][C]0.358898048098451[/C][/ROW]
[ROW][C]0.88[/C][C]23.5707276988835[/C][C]0.327072030161059[/C][/ROW]
[ROW][C]0.89[/C][C]23.6701238099464[/C][C]0.317930367510664[/C][/ROW]
[ROW][C]0.9[/C][C]23.7795754864782[/C][C]0.337833141829142[/C][/ROW]
[ROW][C]0.91[/C][C]23.9067467630781[/C][C]0.385782390098011[/C][/ROW]
[ROW][C]0.92[/C][C]24.0580344129147[/C][C]0.451437466084326[/C][/ROW]
[ROW][C]0.93[/C][C]24.2364590714099[/C][C]0.516692533435259[/C][/ROW]
[ROW][C]0.94[/C][C]24.4400055725701[/C][C]0.55955675338794[/C][/ROW]
[ROW][C]0.95[/C][C]24.6614859598862[/C][C]0.561442036585427[/C][/ROW]
[ROW][C]0.96[/C][C]24.8904541233563[/C][C]0.516566106938008[/C][/ROW]
[ROW][C]0.97[/C][C]25.1157858439220[/C][C]0.438113275250747[/C][/ROW]
[ROW][C]0.98[/C][C]25.3249810010006[/C][C]0.356231783219642[/C][/ROW]
[ROW][C]0.99[/C][C]25.4973189419444[/C][C]0.305933826516995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17359&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17359&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
0.0113.89304024713920.560165109422981
0.0214.24135621770290.782596989553779
0.0314.67427385196790.919229046297212
0.0415.12506343047880.954304622891025
0.0515.55052296203410.923286031415934
0.0615.92864284729370.850604222654737
0.0716.25132878509240.750440949471288
0.0816.51901275394810.639967341062452
0.0916.73766336900020.539851259647606
0.116.91673247379790.467051917538099
0.1117.06708284869070.428455221775919
0.1217.19894843243580.419275319097857
0.1317.32041065329540.427641688702844
0.1417.43670750014210.441432780939948
0.1517.55033755698280.451825290245277
0.1617.66168626898610.453838682466697
0.1717.76985370403540.445825668626847
0.1817.87343460779940.428680006380978
0.1917.97110930970180.404952712491911
0.218.06199887787340.377906252333565
0.2118.14580334402800.350679762454808
0.2218.22277778529420.325856813249473
0.2318.29361273416380.305108501138584
0.2418.35927926321080.289262864213868
0.2518.42088229608740.278573303794010
0.2618.47954543752750.272867753022863
0.2718.53633290742280.271724299911641
0.2818.59220262711570.274665240977903
0.2918.6479799659680.281123294659992
0.318.70434268750320.290396875899473
0.3118.76181166001230.301697762301781
0.3218.82074631776010.314130853829412
0.3318.88134683666940.326792461820767
0.3418.94366574849150.338941658130321
0.3519.00763045226090.349855232485513
0.3619.07307561231390.359243745273254
0.3719.1397818009920.366946912566446
0.3819.20751486495960.373089535872273
0.3919.27605992627840.37799072676925
0.419.34524479754060.382073447238106
0.4119.41494962909780.385676780841023
0.4219.48510229018780.389201089762848
0.4319.55566169394520.392684252049763
0.4419.62659344805290.396082218110575
0.4519.69784345931350.399162774852449
0.4619.76931527876660.401452291453788
0.4719.84085610422130.402558662420632
0.4819.91225469595210.401984362667814
0.4919.98325235209310.399469077103511
0.520.05356590805810.394892693800531
0.5120.12291981154280.388351697813628
0.5220.19108294471150.380222561306333
0.5320.25790517624480.371090089163108
0.5420.32334867299580.361692726477050
0.5520.38750972247030.352968324494993
0.5620.45062806365770.345875014217623
0.5720.51308228599760.341191706739834
0.5820.57537150299800.339706007111783
0.5920.63808502492620.341849104681407
0.620.70186298613700.347772712408683
0.6120.76735174805270.357339664244442
0.6220.83515839873480.370090833969248
0.6320.90580885648390.385317293470710
0.6420.97971401289060.402172202410815
0.6521.05714802438890.419697189352496
0.6621.13824219964500.436996539857025
0.6721.22299677474520.453242065739202
0.6821.31131104374490.467885160198604
0.6921.40302972911570.480579732981353
0.721.49800024649740.491466976804475
0.7121.59613203839700.500985538925935
0.7221.69744612002300.509904191702478
0.7321.80210131682440.519212184932938
0.7421.91038434796080.529752553773219
0.7522.02265470482690.542098626519822
0.7622.13924250943060.556101230353476
0.7722.26030780804510.570803180842244
0.7822.38568172769640.584332409789519
0.7922.5147212851070.594125044983154
0.822.64621732547250.597241710278682
0.8122.77839589048020.590892588419283
0.8222.90904499032360.573105899582182
0.8323.03578110244630.543296099933163
0.8423.15644536293280.50268875872806
0.8523.26959310826570.454575001820912
0.8623.37501643690610.404276194565932
0.8723.47421782922260.358898048098451
0.8823.57072769888350.327072030161059
0.8923.67012380994640.317930367510664
0.923.77957548647820.337833141829142
0.9123.90674676307810.385782390098011
0.9224.05803441291470.451437466084326
0.9324.23645907140990.516692533435259
0.9424.44000557257010.55955675338794
0.9524.66148595988620.561442036585427
0.9624.89045412335630.516566106938008
0.9725.11578584392200.438113275250747
0.9825.32498100100060.356231783219642
0.9925.49731894194440.305933826516995


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')