FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 08:07:02 -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/t122451166415v5ocqrmnopat1.htm/, Retrieved Wed, 29 May 2024 02:32:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17315, Retrieved Wed, 29 May 2024 02:32:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

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 jong...] [2008-10-13 15:38:30] [7d3039e6253bb5fb3b26df1537d500b4]
- RMPD    [Harrell-Davis Quantiles] [Harell-Davis reeks 3] [2008-10-20 14:07:02] [35348cd8592af0baf5f138bd59921307] [Current]
Feedback Forum

Post a new message

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17315&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17315&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.01138419299830.0412120800748341
0.0217.04577383118510.128012663422200
0.0317.11327968407540.244035820305853
0.0417.21678425427660.35824009263369
0.0517.35060330412590.442151438008085
0.0617.50288471206410.481238145061306
0.0717.6598386832330.476726382964979
0.0817.80959345009070.440621813917307
0.0917.94437583745210.388599452055875
0.118.06086068171070.334450872703104
0.1118.1592692554240.287359464053401
0.1218.24198465662010.251396525855786
0.1318.31227160268750.226760304348714
0.1418.3733879094940.211516342150508
0.1518.42812505662390.203243756765141
0.1618.47867720290590.199997812978361
0.1718.52669956815850.200693874168214
0.1818.57343800647260.204765382379145
0.1918.61985423523100.212013283426619
0.218.66671210135670.222164632798362
0.2118.71461957724450.234791116430235
0.2218.76403755215220.249148017627562
0.2318.81527242902250.264369201860157
0.2418.86846852085170.279473749620925
0.2518.92361142132130.293560205014694
0.2618.98054736799930.305986415763564
0.2719.03901786873240.316275074263940
0.2819.09870460343150.324355948877772
0.2919.15927733449890.330387379352457
0.319.22043725833230.334771808234511
0.3119.28194954490780.338095935815302
0.3219.34366116964880.340926604381059
0.3319.40550290903520.343803621011162
0.3419.46747698139330.347135283292043
0.3519.52963384860440.351050560769677
0.3619.5920429200440.355549852864442
0.3719.65476226388710.360332494171134
0.3819.71781202467940.365004076797213
0.3919.78115525603520.369120661593044
0.419.84468853260770.37211758406969
0.4119.90824323451980.373577917427786
0.4219.97159699743700.373196131674489
0.4320.03449364152120.370810225576515
0.4420.09666902866160.366422665483639
0.4520.15787979578430.360269805741443
0.4620.2179317766570.352738862235359
0.4720.27670512615040.344439952184603
0.4820.33417364498860.336006615070353
0.4920.39041649672160.328143051214124
0.520.44562132648470.321657269942869
0.5120.50007864151820.317183825163058
0.5220.55416810739480.315306143633643
0.5320.60833807569390.316432779222601
0.5420.66308013735770.320732949286283
0.5520.71890077325410.328141731381564
0.5620.77629226703430.338460881352897
0.5720.83570500076330.351240194362429
0.5820.89752312805480.365952139235683
0.5920.96204545846910.381927058124731
0.621.02947320395140.398467406384865
0.6121.09990600110220.414884994030135
0.6221.17334725836830.430544966616644
0.6321.24971929122590.444938617847002
0.6421.32888782439080.457706641904814
0.6521.41069424039960.468735763575219
0.6621.49499251496260.478169047374255
0.6721.58168628706170.486378901542135
0.6821.67076024927730.493975080013128
0.6921.76229935288180.501699484121476
0.721.85648954194320.510283920439349
0.7121.95359512630170.520338963152848
0.7222.05391059495640.532079363675278
0.7322.15768857143100.545288341951644
0.7422.26505037820260.559122026357959
0.7522.37589068821140.572163634850311
0.7622.48979212197230.58253836536396
0.7722.60596835900930.58806466296419
0.7822.72325435542020.586696488574752
0.7922.84015888381980.576706628108169
0.822.95498775248070.55712805660949
0.8123.06603648527250.528037718785629
0.8223.17184051467820.490725451927241
0.8323.27146089373100.447812579126172
0.8423.3647753123520.403119970587551
0.8523.45273722454880.361604619333427
0.8623.53755762386630.329142114523681
0.8723.62275173505560.312165926230102
0.8823.71297815035340.316354086826226
0.8923.81359230664590.344080181779795
0.923.92986395943120.392281969323263
0.9124.06589867383720.452275483734806
0.9224.22346660176340.51092475791863
0.9324.40113316477600.552822173046264
0.9424.59417647257880.564312008032176
0.9524.79556131345250.538715571340963
0.9624.99753669862820.480538874696595
0.9725.19234642948210.40598580375143
0.9825.37005357789320.33913176133818
0.9925.51383130700420.302150564286881

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17.0113841929983 & 0.0412120800748341 \tabularnewline
0.02 & 17.0457738311851 & 0.128012663422200 \tabularnewline
0.03 & 17.1132796840754 & 0.244035820305853 \tabularnewline
0.04 & 17.2167842542766 & 0.35824009263369 \tabularnewline
0.05 & 17.3506033041259 & 0.442151438008085 \tabularnewline
0.06 & 17.5028847120641 & 0.481238145061306 \tabularnewline
0.07 & 17.659838683233 & 0.476726382964979 \tabularnewline
0.08 & 17.8095934500907 & 0.440621813917307 \tabularnewline
0.09 & 17.9443758374521 & 0.388599452055875 \tabularnewline
0.1 & 18.0608606817107 & 0.334450872703104 \tabularnewline
0.11 & 18.159269255424 & 0.287359464053401 \tabularnewline
0.12 & 18.2419846566201 & 0.251396525855786 \tabularnewline
0.13 & 18.3122716026875 & 0.226760304348714 \tabularnewline
0.14 & 18.373387909494 & 0.211516342150508 \tabularnewline
0.15 & 18.4281250566239 & 0.203243756765141 \tabularnewline
0.16 & 18.4786772029059 & 0.199997812978361 \tabularnewline
0.17 & 18.5266995681585 & 0.200693874168214 \tabularnewline
0.18 & 18.5734380064726 & 0.204765382379145 \tabularnewline
0.19 & 18.6198542352310 & 0.212013283426619 \tabularnewline
0.2 & 18.6667121013567 & 0.222164632798362 \tabularnewline
0.21 & 18.7146195772445 & 0.234791116430235 \tabularnewline
0.22 & 18.7640375521522 & 0.249148017627562 \tabularnewline
0.23 & 18.8152724290225 & 0.264369201860157 \tabularnewline
0.24 & 18.8684685208517 & 0.279473749620925 \tabularnewline
0.25 & 18.9236114213213 & 0.293560205014694 \tabularnewline
0.26 & 18.9805473679993 & 0.305986415763564 \tabularnewline
0.27 & 19.0390178687324 & 0.316275074263940 \tabularnewline
0.28 & 19.0987046034315 & 0.324355948877772 \tabularnewline
0.29 & 19.1592773344989 & 0.330387379352457 \tabularnewline
0.3 & 19.2204372583323 & 0.334771808234511 \tabularnewline
0.31 & 19.2819495449078 & 0.338095935815302 \tabularnewline
0.32 & 19.3436611696488 & 0.340926604381059 \tabularnewline
0.33 & 19.4055029090352 & 0.343803621011162 \tabularnewline
0.34 & 19.4674769813933 & 0.347135283292043 \tabularnewline
0.35 & 19.5296338486044 & 0.351050560769677 \tabularnewline
0.36 & 19.592042920044 & 0.355549852864442 \tabularnewline
0.37 & 19.6547622638871 & 0.360332494171134 \tabularnewline
0.38 & 19.7178120246794 & 0.365004076797213 \tabularnewline
0.39 & 19.7811552560352 & 0.369120661593044 \tabularnewline
0.4 & 19.8446885326077 & 0.37211758406969 \tabularnewline
0.41 & 19.9082432345198 & 0.373577917427786 \tabularnewline
0.42 & 19.9715969974370 & 0.373196131674489 \tabularnewline
0.43 & 20.0344936415212 & 0.370810225576515 \tabularnewline
0.44 & 20.0966690286616 & 0.366422665483639 \tabularnewline
0.45 & 20.1578797957843 & 0.360269805741443 \tabularnewline
0.46 & 20.217931776657 & 0.352738862235359 \tabularnewline
0.47 & 20.2767051261504 & 0.344439952184603 \tabularnewline
0.48 & 20.3341736449886 & 0.336006615070353 \tabularnewline
0.49 & 20.3904164967216 & 0.328143051214124 \tabularnewline
0.5 & 20.4456213264847 & 0.321657269942869 \tabularnewline
0.51 & 20.5000786415182 & 0.317183825163058 \tabularnewline
0.52 & 20.5541681073948 & 0.315306143633643 \tabularnewline
0.53 & 20.6083380756939 & 0.316432779222601 \tabularnewline
0.54 & 20.6630801373577 & 0.320732949286283 \tabularnewline
0.55 & 20.7189007732541 & 0.328141731381564 \tabularnewline
0.56 & 20.7762922670343 & 0.338460881352897 \tabularnewline
0.57 & 20.8357050007633 & 0.351240194362429 \tabularnewline
0.58 & 20.8975231280548 & 0.365952139235683 \tabularnewline
0.59 & 20.9620454584691 & 0.381927058124731 \tabularnewline
0.6 & 21.0294732039514 & 0.398467406384865 \tabularnewline
0.61 & 21.0999060011022 & 0.414884994030135 \tabularnewline
0.62 & 21.1733472583683 & 0.430544966616644 \tabularnewline
0.63 & 21.2497192912259 & 0.444938617847002 \tabularnewline
0.64 & 21.3288878243908 & 0.457706641904814 \tabularnewline
0.65 & 21.4106942403996 & 0.468735763575219 \tabularnewline
0.66 & 21.4949925149626 & 0.478169047374255 \tabularnewline
0.67 & 21.5816862870617 & 0.486378901542135 \tabularnewline
0.68 & 21.6707602492773 & 0.493975080013128 \tabularnewline
0.69 & 21.7622993528818 & 0.501699484121476 \tabularnewline
0.7 & 21.8564895419432 & 0.510283920439349 \tabularnewline
0.71 & 21.9535951263017 & 0.520338963152848 \tabularnewline
0.72 & 22.0539105949564 & 0.532079363675278 \tabularnewline
0.73 & 22.1576885714310 & 0.545288341951644 \tabularnewline
0.74 & 22.2650503782026 & 0.559122026357959 \tabularnewline
0.75 & 22.3758906882114 & 0.572163634850311 \tabularnewline
0.76 & 22.4897921219723 & 0.58253836536396 \tabularnewline
0.77 & 22.6059683590093 & 0.58806466296419 \tabularnewline
0.78 & 22.7232543554202 & 0.586696488574752 \tabularnewline
0.79 & 22.8401588838198 & 0.576706628108169 \tabularnewline
0.8 & 22.9549877524807 & 0.55712805660949 \tabularnewline
0.81 & 23.0660364852725 & 0.528037718785629 \tabularnewline
0.82 & 23.1718405146782 & 0.490725451927241 \tabularnewline
0.83 & 23.2714608937310 & 0.447812579126172 \tabularnewline
0.84 & 23.364775312352 & 0.403119970587551 \tabularnewline
0.85 & 23.4527372245488 & 0.361604619333427 \tabularnewline
0.86 & 23.5375576238663 & 0.329142114523681 \tabularnewline
0.87 & 23.6227517350556 & 0.312165926230102 \tabularnewline
0.88 & 23.7129781503534 & 0.316354086826226 \tabularnewline
0.89 & 23.8135923066459 & 0.344080181779795 \tabularnewline
0.9 & 23.9298639594312 & 0.392281969323263 \tabularnewline
0.91 & 24.0658986738372 & 0.452275483734806 \tabularnewline
0.92 & 24.2234666017634 & 0.51092475791863 \tabularnewline
0.93 & 24.4011331647760 & 0.552822173046264 \tabularnewline
0.94 & 24.5941764725788 & 0.564312008032176 \tabularnewline
0.95 & 24.7955613134525 & 0.538715571340963 \tabularnewline
0.96 & 24.9975366986282 & 0.480538874696595 \tabularnewline
0.97 & 25.1923464294821 & 0.40598580375143 \tabularnewline
0.98 & 25.3700535778932 & 0.33913176133818 \tabularnewline
0.99 & 25.5138313070042 & 0.302150564286881 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17315&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]17.0113841929983[/C][C]0.0412120800748341[/C][/ROW]
[ROW][C]0.02[/C][C]17.0457738311851[/C][C]0.128012663422200[/C][/ROW]
[ROW][C]0.03[/C][C]17.1132796840754[/C][C]0.244035820305853[/C][/ROW]
[ROW][C]0.04[/C][C]17.2167842542766[/C][C]0.35824009263369[/C][/ROW]
[ROW][C]0.05[/C][C]17.3506033041259[/C][C]0.442151438008085[/C][/ROW]
[ROW][C]0.06[/C][C]17.5028847120641[/C][C]0.481238145061306[/C][/ROW]
[ROW][C]0.07[/C][C]17.659838683233[/C][C]0.476726382964979[/C][/ROW]
[ROW][C]0.08[/C][C]17.8095934500907[/C][C]0.440621813917307[/C][/ROW]
[ROW][C]0.09[/C][C]17.9443758374521[/C][C]0.388599452055875[/C][/ROW]
[ROW][C]0.1[/C][C]18.0608606817107[/C][C]0.334450872703104[/C][/ROW]
[ROW][C]0.11[/C][C]18.159269255424[/C][C]0.287359464053401[/C][/ROW]
[ROW][C]0.12[/C][C]18.2419846566201[/C][C]0.251396525855786[/C][/ROW]
[ROW][C]0.13[/C][C]18.3122716026875[/C][C]0.226760304348714[/C][/ROW]
[ROW][C]0.14[/C][C]18.373387909494[/C][C]0.211516342150508[/C][/ROW]
[ROW][C]0.15[/C][C]18.4281250566239[/C][C]0.203243756765141[/C][/ROW]
[ROW][C]0.16[/C][C]18.4786772029059[/C][C]0.199997812978361[/C][/ROW]
[ROW][C]0.17[/C][C]18.5266995681585[/C][C]0.200693874168214[/C][/ROW]
[ROW][C]0.18[/C][C]18.5734380064726[/C][C]0.204765382379145[/C][/ROW]
[ROW][C]0.19[/C][C]18.6198542352310[/C][C]0.212013283426619[/C][/ROW]
[ROW][C]0.2[/C][C]18.6667121013567[/C][C]0.222164632798362[/C][/ROW]
[ROW][C]0.21[/C][C]18.7146195772445[/C][C]0.234791116430235[/C][/ROW]
[ROW][C]0.22[/C][C]18.7640375521522[/C][C]0.249148017627562[/C][/ROW]
[ROW][C]0.23[/C][C]18.8152724290225[/C][C]0.264369201860157[/C][/ROW]
[ROW][C]0.24[/C][C]18.8684685208517[/C][C]0.279473749620925[/C][/ROW]
[ROW][C]0.25[/C][C]18.9236114213213[/C][C]0.293560205014694[/C][/ROW]
[ROW][C]0.26[/C][C]18.9805473679993[/C][C]0.305986415763564[/C][/ROW]
[ROW][C]0.27[/C][C]19.0390178687324[/C][C]0.316275074263940[/C][/ROW]
[ROW][C]0.28[/C][C]19.0987046034315[/C][C]0.324355948877772[/C][/ROW]
[ROW][C]0.29[/C][C]19.1592773344989[/C][C]0.330387379352457[/C][/ROW]
[ROW][C]0.3[/C][C]19.2204372583323[/C][C]0.334771808234511[/C][/ROW]
[ROW][C]0.31[/C][C]19.2819495449078[/C][C]0.338095935815302[/C][/ROW]
[ROW][C]0.32[/C][C]19.3436611696488[/C][C]0.340926604381059[/C][/ROW]
[ROW][C]0.33[/C][C]19.4055029090352[/C][C]0.343803621011162[/C][/ROW]
[ROW][C]0.34[/C][C]19.4674769813933[/C][C]0.347135283292043[/C][/ROW]
[ROW][C]0.35[/C][C]19.5296338486044[/C][C]0.351050560769677[/C][/ROW]
[ROW][C]0.36[/C][C]19.592042920044[/C][C]0.355549852864442[/C][/ROW]
[ROW][C]0.37[/C][C]19.6547622638871[/C][C]0.360332494171134[/C][/ROW]
[ROW][C]0.38[/C][C]19.7178120246794[/C][C]0.365004076797213[/C][/ROW]
[ROW][C]0.39[/C][C]19.7811552560352[/C][C]0.369120661593044[/C][/ROW]
[ROW][C]0.4[/C][C]19.8446885326077[/C][C]0.37211758406969[/C][/ROW]
[ROW][C]0.41[/C][C]19.9082432345198[/C][C]0.373577917427786[/C][/ROW]
[ROW][C]0.42[/C][C]19.9715969974370[/C][C]0.373196131674489[/C][/ROW]
[ROW][C]0.43[/C][C]20.0344936415212[/C][C]0.370810225576515[/C][/ROW]
[ROW][C]0.44[/C][C]20.0966690286616[/C][C]0.366422665483639[/C][/ROW]
[ROW][C]0.45[/C][C]20.1578797957843[/C][C]0.360269805741443[/C][/ROW]
[ROW][C]0.46[/C][C]20.217931776657[/C][C]0.352738862235359[/C][/ROW]
[ROW][C]0.47[/C][C]20.2767051261504[/C][C]0.344439952184603[/C][/ROW]
[ROW][C]0.48[/C][C]20.3341736449886[/C][C]0.336006615070353[/C][/ROW]
[ROW][C]0.49[/C][C]20.3904164967216[/C][C]0.328143051214124[/C][/ROW]
[ROW][C]0.5[/C][C]20.4456213264847[/C][C]0.321657269942869[/C][/ROW]
[ROW][C]0.51[/C][C]20.5000786415182[/C][C]0.317183825163058[/C][/ROW]
[ROW][C]0.52[/C][C]20.5541681073948[/C][C]0.315306143633643[/C][/ROW]
[ROW][C]0.53[/C][C]20.6083380756939[/C][C]0.316432779222601[/C][/ROW]
[ROW][C]0.54[/C][C]20.6630801373577[/C][C]0.320732949286283[/C][/ROW]
[ROW][C]0.55[/C][C]20.7189007732541[/C][C]0.328141731381564[/C][/ROW]
[ROW][C]0.56[/C][C]20.7762922670343[/C][C]0.338460881352897[/C][/ROW]
[ROW][C]0.57[/C][C]20.8357050007633[/C][C]0.351240194362429[/C][/ROW]
[ROW][C]0.58[/C][C]20.8975231280548[/C][C]0.365952139235683[/C][/ROW]
[ROW][C]0.59[/C][C]20.9620454584691[/C][C]0.381927058124731[/C][/ROW]
[ROW][C]0.6[/C][C]21.0294732039514[/C][C]0.398467406384865[/C][/ROW]
[ROW][C]0.61[/C][C]21.0999060011022[/C][C]0.414884994030135[/C][/ROW]
[ROW][C]0.62[/C][C]21.1733472583683[/C][C]0.430544966616644[/C][/ROW]
[ROW][C]0.63[/C][C]21.2497192912259[/C][C]0.444938617847002[/C][/ROW]
[ROW][C]0.64[/C][C]21.3288878243908[/C][C]0.457706641904814[/C][/ROW]
[ROW][C]0.65[/C][C]21.4106942403996[/C][C]0.468735763575219[/C][/ROW]
[ROW][C]0.66[/C][C]21.4949925149626[/C][C]0.478169047374255[/C][/ROW]
[ROW][C]0.67[/C][C]21.5816862870617[/C][C]0.486378901542135[/C][/ROW]
[ROW][C]0.68[/C][C]21.6707602492773[/C][C]0.493975080013128[/C][/ROW]
[ROW][C]0.69[/C][C]21.7622993528818[/C][C]0.501699484121476[/C][/ROW]
[ROW][C]0.7[/C][C]21.8564895419432[/C][C]0.510283920439349[/C][/ROW]
[ROW][C]0.71[/C][C]21.9535951263017[/C][C]0.520338963152848[/C][/ROW]
[ROW][C]0.72[/C][C]22.0539105949564[/C][C]0.532079363675278[/C][/ROW]
[ROW][C]0.73[/C][C]22.1576885714310[/C][C]0.545288341951644[/C][/ROW]
[ROW][C]0.74[/C][C]22.2650503782026[/C][C]0.559122026357959[/C][/ROW]
[ROW][C]0.75[/C][C]22.3758906882114[/C][C]0.572163634850311[/C][/ROW]
[ROW][C]0.76[/C][C]22.4897921219723[/C][C]0.58253836536396[/C][/ROW]
[ROW][C]0.77[/C][C]22.6059683590093[/C][C]0.58806466296419[/C][/ROW]
[ROW][C]0.78[/C][C]22.7232543554202[/C][C]0.586696488574752[/C][/ROW]
[ROW][C]0.79[/C][C]22.8401588838198[/C][C]0.576706628108169[/C][/ROW]
[ROW][C]0.8[/C][C]22.9549877524807[/C][C]0.55712805660949[/C][/ROW]
[ROW][C]0.81[/C][C]23.0660364852725[/C][C]0.528037718785629[/C][/ROW]
[ROW][C]0.82[/C][C]23.1718405146782[/C][C]0.490725451927241[/C][/ROW]
[ROW][C]0.83[/C][C]23.2714608937310[/C][C]0.447812579126172[/C][/ROW]
[ROW][C]0.84[/C][C]23.364775312352[/C][C]0.403119970587551[/C][/ROW]
[ROW][C]0.85[/C][C]23.4527372245488[/C][C]0.361604619333427[/C][/ROW]
[ROW][C]0.86[/C][C]23.5375576238663[/C][C]0.329142114523681[/C][/ROW]
[ROW][C]0.87[/C][C]23.6227517350556[/C][C]0.312165926230102[/C][/ROW]
[ROW][C]0.88[/C][C]23.7129781503534[/C][C]0.316354086826226[/C][/ROW]
[ROW][C]0.89[/C][C]23.8135923066459[/C][C]0.344080181779795[/C][/ROW]
[ROW][C]0.9[/C][C]23.9298639594312[/C][C]0.392281969323263[/C][/ROW]
[ROW][C]0.91[/C][C]24.0658986738372[/C][C]0.452275483734806[/C][/ROW]
[ROW][C]0.92[/C][C]24.2234666017634[/C][C]0.51092475791863[/C][/ROW]
[ROW][C]0.93[/C][C]24.4011331647760[/C][C]0.552822173046264[/C][/ROW]
[ROW][C]0.94[/C][C]24.5941764725788[/C][C]0.564312008032176[/C][/ROW]
[ROW][C]0.95[/C][C]24.7955613134525[/C][C]0.538715571340963[/C][/ROW]
[ROW][C]0.96[/C][C]24.9975366986282[/C][C]0.480538874696595[/C][/ROW]
[ROW][C]0.97[/C][C]25.1923464294821[/C][C]0.40598580375143[/C][/ROW]
[ROW][C]0.98[/C][C]25.3700535778932[/C][C]0.33913176133818[/C][/ROW]
[ROW][C]0.99[/C][C]25.5138313070042[/C][C]0.302150564286881[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17315&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
0.0117.01138419299830.0412120800748341
0.0217.04577383118510.128012663422200
0.0317.11327968407540.244035820305853
0.0417.21678425427660.35824009263369
0.0517.35060330412590.442151438008085
0.0617.50288471206410.481238145061306
0.0717.6598386832330.476726382964979
0.0817.80959345009070.440621813917307
0.0917.94437583745210.388599452055875
0.118.06086068171070.334450872703104
0.1118.1592692554240.287359464053401
0.1218.24198465662010.251396525855786
0.1318.31227160268750.226760304348714
0.1418.3733879094940.211516342150508
0.1518.42812505662390.203243756765141
0.1618.47867720290590.199997812978361
0.1718.52669956815850.200693874168214
0.1818.57343800647260.204765382379145
0.1918.61985423523100.212013283426619
0.218.66671210135670.222164632798362
0.2118.71461957724450.234791116430235
0.2218.76403755215220.249148017627562
0.2318.81527242902250.264369201860157
0.2418.86846852085170.279473749620925
0.2518.92361142132130.293560205014694
0.2618.98054736799930.305986415763564
0.2719.03901786873240.316275074263940
0.2819.09870460343150.324355948877772
0.2919.15927733449890.330387379352457
0.319.22043725833230.334771808234511
0.3119.28194954490780.338095935815302
0.3219.34366116964880.340926604381059
0.3319.40550290903520.343803621011162
0.3419.46747698139330.347135283292043
0.3519.52963384860440.351050560769677
0.3619.5920429200440.355549852864442
0.3719.65476226388710.360332494171134
0.3819.71781202467940.365004076797213
0.3919.78115525603520.369120661593044
0.419.84468853260770.37211758406969
0.4119.90824323451980.373577917427786
0.4219.97159699743700.373196131674489
0.4320.03449364152120.370810225576515
0.4420.09666902866160.366422665483639
0.4520.15787979578430.360269805741443
0.4620.2179317766570.352738862235359
0.4720.27670512615040.344439952184603
0.4820.33417364498860.336006615070353
0.4920.39041649672160.328143051214124
0.520.44562132648470.321657269942869
0.5120.50007864151820.317183825163058
0.5220.55416810739480.315306143633643
0.5320.60833807569390.316432779222601
0.5420.66308013735770.320732949286283
0.5520.71890077325410.328141731381564
0.5620.77629226703430.338460881352897
0.5720.83570500076330.351240194362429
0.5820.89752312805480.365952139235683
0.5920.96204545846910.381927058124731
0.621.02947320395140.398467406384865
0.6121.09990600110220.414884994030135
0.6221.17334725836830.430544966616644
0.6321.24971929122590.444938617847002
0.6421.32888782439080.457706641904814
0.6521.41069424039960.468735763575219
0.6621.49499251496260.478169047374255
0.6721.58168628706170.486378901542135
0.6821.67076024927730.493975080013128
0.6921.76229935288180.501699484121476
0.721.85648954194320.510283920439349
0.7121.95359512630170.520338963152848
0.7222.05391059495640.532079363675278
0.7322.15768857143100.545288341951644
0.7422.26505037820260.559122026357959
0.7522.37589068821140.572163634850311
0.7622.48979212197230.58253836536396
0.7722.60596835900930.58806466296419
0.7822.72325435542020.586696488574752
0.7922.84015888381980.576706628108169
0.822.95498775248070.55712805660949
0.8123.06603648527250.528037718785629
0.8223.17184051467820.490725451927241
0.8323.27146089373100.447812579126172
0.8423.3647753123520.403119970587551
0.8523.45273722454880.361604619333427
0.8623.53755762386630.329142114523681
0.8723.62275173505560.312165926230102
0.8823.71297815035340.316354086826226
0.8923.81359230664590.344080181779795
0.923.92986395943120.392281969323263
0.9124.06589867383720.452275483734806
0.9224.22346660176340.51092475791863
0.9324.40113316477600.552822173046264
0.9424.59417647257880.564312008032176
0.9524.79556131345250.538715571340963
0.9624.99753669862820.480538874696595
0.9725.19234642948210.40598580375143
0.9825.37005357789320.33913176133818
0.9925.51383130700420.302150564286881


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')