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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 computationTue, 26 Feb 2013 16:31:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361914314ha7ncr9pj3jw9g0.htm/, Retrieved Sun, 05 May 2024 00:21:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207129, Retrieved Sun, 05 May 2024 00:21:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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] [] [2013-02-26 21:25:03] [f974b105a61ab974a820d469d59cfaf7]
- R  D    [Harrell-Davis Quantiles] [] [2013-02-26 21:31:31] [8f84a338303fe8d74ac0d8ad91c8b331] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20,5
20,2
19,4
19,2
18,8
18,8
22,6
23,3
23
21,4
19,9
18,8
18,6
18,4
18,6
19,9
19,2
18,4
21,1
20,5
19,1
18,1
17
17,1
17,4
16,8
15,3
14,3
13,4
15,3
22,1
23,7
22,2
19,5
16,6
17,3
19,8
21,2
21,5
20,6
19,1
19,6
23,4
24,3
24,1
22,8
22,5
23,8
24,9
25,2
24,3
22,8
20,7
19,8
22,5
22,6
22,5
21,8
21,2
20,6
19,9
18,7
17,6
16,4
15,9
16,8
22,8
24
22,2
17,9
16
16

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'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207129&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207129&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207129&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.70809959353080.862654931879941
0.0214.17208767728210.816013003391615
0.0314.63768864427050.730315999753585
0.0415.03004670558590.626298772928989
0.0515.34043915923550.541227046065027
0.0615.58654367656350.487344696965501
0.0715.78893854016170.457200779875147
0.0815.96326028072890.44197514091469
0.0916.11962293414720.435897543505495
0.116.26407194298490.434216206966043
0.1116.40007146534970.43335873766944
0.1216.52961894797420.432164968885482
0.1316.65404155495370.431714940759926
0.1416.77452225367380.43436935617986
0.1516.89235164770640.442157935765867
0.1617.00892762491330.455780092493165
0.1717.12558379103830.474340143351771
0.1817.24335798967690.495629682589407
0.1917.36279801469590.516822489370672
0.217.4838616368880.534958171309566
0.2117.60592650315210.547424374795606
0.2217.72789578991770.55244890339639
0.2317.84836974591190.549019614402229
0.2417.96584797685680.537269490205037
0.2518.07892863180230.518197912685048
0.2618.18647616309810.493572102389556
0.2718.28773776501970.46563784243372
0.2818.38239878762150.436759997432301
0.2918.47057783645610.409243981080132
0.318.55277116952770.38494540177785
0.3118.62976196622270.365186245761941
0.3218.70251239327620.350697842358918
0.3318.77205533329030.341570611353036
0.3418.8393990736910.337344155851764
0.3518.90545342231880.337252457502562
0.3618.97098083436450.340311021316108
0.3719.03657211304210.345526112223414
0.3819.10264355238330.351991349543238
0.3919.16945105487120.358933004441009
0.419.23711647507430.365752646534212
0.4119.30566174274960.372038264377218
0.4219.37504675446690.377594589687658
0.4319.44520731502280.382422753909164
0.4419.51608953394680.386756020364705
0.4519.58767724104430.390918410451267
0.4619.6600094886550.395368231105738
0.4719.73318630343750.400494838134738
0.4819.80736256385430.406689473241956
0.4919.88273194773040.414093628924105
0.519.95950481579470.422733498546494
0.5120.03788509606860.432343613117506
0.5220.11805127546890.442635919694944
0.5320.20014537572170.453242438912374
0.5420.28427156748050.463895149767672
0.5520.37050344954950.474438456529595
0.5620.45889669769960.484817436990725
0.5720.54950236087480.495120365409272
0.5820.64237584521150.505498333789759
0.5920.73757751875120.516056000041186
0.620.83516256135210.526756078709486
0.6120.9351597416720.53743371826851
0.6221.03754085738480.547729262894205
0.6321.14218440742090.557104997083946
0.6421.24883857994690.564770398553179
0.6521.35708975631480.569838540747496
0.6621.46634327751320.571269343254088
0.6721.57582291001770.568107656413416
0.6821.68459398034350.55955129027823
0.6921.79161238862290.545044426991174
0.721.89579787773330.524624301671561
0.7121.99612566504920.498714906519306
0.7222.09172679761980.468342563557489
0.7322.18198537401990.435030249846858
0.7422.266620778010.400630152282961
0.7522.345745346670.367224188132536
0.7622.41989173225520.336929115380459
0.7722.49000827172060.311812615254147
0.7822.55742344890140.293560722252174
0.7922.62378104507060.283514825331225
0.822.69094603949820.282407925410641
0.8122.76087943889240.290147323403756
0.8222.83548072675270.305795696630921
0.8322.91640206780520.32744205650316
0.8423.00484939798230.352309495962647
0.8523.10139945383870.377064407357066
0.8623.20587287786350.398102780717897
0.8723.31730507438670.412185176877684
0.8823.43404505516610.416895492152988
0.8923.55399291206310.411141389468554
0.923.67497451540720.39535576858041
0.9123.79526806366740.371496670736109
0.9223.91434096544560.343127783718883
0.9324.03385775078110.315794388703292
0.9424.1588074985180.298420818559557
0.9524.29798504687720.303194907436919
0.9624.46214424215160.335955509767247
0.9724.65765525004220.377544260817732
0.9824.8748639908890.385934993016367
0.9925.07595232070420.342010768950666

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.7080995935308 & 0.862654931879941 \tabularnewline
0.02 & 14.1720876772821 & 0.816013003391615 \tabularnewline
0.03 & 14.6376886442705 & 0.730315999753585 \tabularnewline
0.04 & 15.0300467055859 & 0.626298772928989 \tabularnewline
0.05 & 15.3404391592355 & 0.541227046065027 \tabularnewline
0.06 & 15.5865436765635 & 0.487344696965501 \tabularnewline
0.07 & 15.7889385401617 & 0.457200779875147 \tabularnewline
0.08 & 15.9632602807289 & 0.44197514091469 \tabularnewline
0.09 & 16.1196229341472 & 0.435897543505495 \tabularnewline
0.1 & 16.2640719429849 & 0.434216206966043 \tabularnewline
0.11 & 16.4000714653497 & 0.43335873766944 \tabularnewline
0.12 & 16.5296189479742 & 0.432164968885482 \tabularnewline
0.13 & 16.6540415549537 & 0.431714940759926 \tabularnewline
0.14 & 16.7745222536738 & 0.43436935617986 \tabularnewline
0.15 & 16.8923516477064 & 0.442157935765867 \tabularnewline
0.16 & 17.0089276249133 & 0.455780092493165 \tabularnewline
0.17 & 17.1255837910383 & 0.474340143351771 \tabularnewline
0.18 & 17.2433579896769 & 0.495629682589407 \tabularnewline
0.19 & 17.3627980146959 & 0.516822489370672 \tabularnewline
0.2 & 17.483861636888 & 0.534958171309566 \tabularnewline
0.21 & 17.6059265031521 & 0.547424374795606 \tabularnewline
0.22 & 17.7278957899177 & 0.55244890339639 \tabularnewline
0.23 & 17.8483697459119 & 0.549019614402229 \tabularnewline
0.24 & 17.9658479768568 & 0.537269490205037 \tabularnewline
0.25 & 18.0789286318023 & 0.518197912685048 \tabularnewline
0.26 & 18.1864761630981 & 0.493572102389556 \tabularnewline
0.27 & 18.2877377650197 & 0.46563784243372 \tabularnewline
0.28 & 18.3823987876215 & 0.436759997432301 \tabularnewline
0.29 & 18.4705778364561 & 0.409243981080132 \tabularnewline
0.3 & 18.5527711695277 & 0.38494540177785 \tabularnewline
0.31 & 18.6297619662227 & 0.365186245761941 \tabularnewline
0.32 & 18.7025123932762 & 0.350697842358918 \tabularnewline
0.33 & 18.7720553332903 & 0.341570611353036 \tabularnewline
0.34 & 18.839399073691 & 0.337344155851764 \tabularnewline
0.35 & 18.9054534223188 & 0.337252457502562 \tabularnewline
0.36 & 18.9709808343645 & 0.340311021316108 \tabularnewline
0.37 & 19.0365721130421 & 0.345526112223414 \tabularnewline
0.38 & 19.1026435523833 & 0.351991349543238 \tabularnewline
0.39 & 19.1694510548712 & 0.358933004441009 \tabularnewline
0.4 & 19.2371164750743 & 0.365752646534212 \tabularnewline
0.41 & 19.3056617427496 & 0.372038264377218 \tabularnewline
0.42 & 19.3750467544669 & 0.377594589687658 \tabularnewline
0.43 & 19.4452073150228 & 0.382422753909164 \tabularnewline
0.44 & 19.5160895339468 & 0.386756020364705 \tabularnewline
0.45 & 19.5876772410443 & 0.390918410451267 \tabularnewline
0.46 & 19.660009488655 & 0.395368231105738 \tabularnewline
0.47 & 19.7331863034375 & 0.400494838134738 \tabularnewline
0.48 & 19.8073625638543 & 0.406689473241956 \tabularnewline
0.49 & 19.8827319477304 & 0.414093628924105 \tabularnewline
0.5 & 19.9595048157947 & 0.422733498546494 \tabularnewline
0.51 & 20.0378850960686 & 0.432343613117506 \tabularnewline
0.52 & 20.1180512754689 & 0.442635919694944 \tabularnewline
0.53 & 20.2001453757217 & 0.453242438912374 \tabularnewline
0.54 & 20.2842715674805 & 0.463895149767672 \tabularnewline
0.55 & 20.3705034495495 & 0.474438456529595 \tabularnewline
0.56 & 20.4588966976996 & 0.484817436990725 \tabularnewline
0.57 & 20.5495023608748 & 0.495120365409272 \tabularnewline
0.58 & 20.6423758452115 & 0.505498333789759 \tabularnewline
0.59 & 20.7375775187512 & 0.516056000041186 \tabularnewline
0.6 & 20.8351625613521 & 0.526756078709486 \tabularnewline
0.61 & 20.935159741672 & 0.53743371826851 \tabularnewline
0.62 & 21.0375408573848 & 0.547729262894205 \tabularnewline
0.63 & 21.1421844074209 & 0.557104997083946 \tabularnewline
0.64 & 21.2488385799469 & 0.564770398553179 \tabularnewline
0.65 & 21.3570897563148 & 0.569838540747496 \tabularnewline
0.66 & 21.4663432775132 & 0.571269343254088 \tabularnewline
0.67 & 21.5758229100177 & 0.568107656413416 \tabularnewline
0.68 & 21.6845939803435 & 0.55955129027823 \tabularnewline
0.69 & 21.7916123886229 & 0.545044426991174 \tabularnewline
0.7 & 21.8957978777333 & 0.524624301671561 \tabularnewline
0.71 & 21.9961256650492 & 0.498714906519306 \tabularnewline
0.72 & 22.0917267976198 & 0.468342563557489 \tabularnewline
0.73 & 22.1819853740199 & 0.435030249846858 \tabularnewline
0.74 & 22.26662077801 & 0.400630152282961 \tabularnewline
0.75 & 22.34574534667 & 0.367224188132536 \tabularnewline
0.76 & 22.4198917322552 & 0.336929115380459 \tabularnewline
0.77 & 22.4900082717206 & 0.311812615254147 \tabularnewline
0.78 & 22.5574234489014 & 0.293560722252174 \tabularnewline
0.79 & 22.6237810450706 & 0.283514825331225 \tabularnewline
0.8 & 22.6909460394982 & 0.282407925410641 \tabularnewline
0.81 & 22.7608794388924 & 0.290147323403756 \tabularnewline
0.82 & 22.8354807267527 & 0.305795696630921 \tabularnewline
0.83 & 22.9164020678052 & 0.32744205650316 \tabularnewline
0.84 & 23.0048493979823 & 0.352309495962647 \tabularnewline
0.85 & 23.1013994538387 & 0.377064407357066 \tabularnewline
0.86 & 23.2058728778635 & 0.398102780717897 \tabularnewline
0.87 & 23.3173050743867 & 0.412185176877684 \tabularnewline
0.88 & 23.4340450551661 & 0.416895492152988 \tabularnewline
0.89 & 23.5539929120631 & 0.411141389468554 \tabularnewline
0.9 & 23.6749745154072 & 0.39535576858041 \tabularnewline
0.91 & 23.7952680636674 & 0.371496670736109 \tabularnewline
0.92 & 23.9143409654456 & 0.343127783718883 \tabularnewline
0.93 & 24.0338577507811 & 0.315794388703292 \tabularnewline
0.94 & 24.158807498518 & 0.298420818559557 \tabularnewline
0.95 & 24.2979850468772 & 0.303194907436919 \tabularnewline
0.96 & 24.4621442421516 & 0.335955509767247 \tabularnewline
0.97 & 24.6576552500422 & 0.377544260817732 \tabularnewline
0.98 & 24.874863990889 & 0.385934993016367 \tabularnewline
0.99 & 25.0759523207042 & 0.342010768950666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207129&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]13.7080995935308[/C][C]0.862654931879941[/C][/ROW]
[ROW][C]0.02[/C][C]14.1720876772821[/C][C]0.816013003391615[/C][/ROW]
[ROW][C]0.03[/C][C]14.6376886442705[/C][C]0.730315999753585[/C][/ROW]
[ROW][C]0.04[/C][C]15.0300467055859[/C][C]0.626298772928989[/C][/ROW]
[ROW][C]0.05[/C][C]15.3404391592355[/C][C]0.541227046065027[/C][/ROW]
[ROW][C]0.06[/C][C]15.5865436765635[/C][C]0.487344696965501[/C][/ROW]
[ROW][C]0.07[/C][C]15.7889385401617[/C][C]0.457200779875147[/C][/ROW]
[ROW][C]0.08[/C][C]15.9632602807289[/C][C]0.44197514091469[/C][/ROW]
[ROW][C]0.09[/C][C]16.1196229341472[/C][C]0.435897543505495[/C][/ROW]
[ROW][C]0.1[/C][C]16.2640719429849[/C][C]0.434216206966043[/C][/ROW]
[ROW][C]0.11[/C][C]16.4000714653497[/C][C]0.43335873766944[/C][/ROW]
[ROW][C]0.12[/C][C]16.5296189479742[/C][C]0.432164968885482[/C][/ROW]
[ROW][C]0.13[/C][C]16.6540415549537[/C][C]0.431714940759926[/C][/ROW]
[ROW][C]0.14[/C][C]16.7745222536738[/C][C]0.43436935617986[/C][/ROW]
[ROW][C]0.15[/C][C]16.8923516477064[/C][C]0.442157935765867[/C][/ROW]
[ROW][C]0.16[/C][C]17.0089276249133[/C][C]0.455780092493165[/C][/ROW]
[ROW][C]0.17[/C][C]17.1255837910383[/C][C]0.474340143351771[/C][/ROW]
[ROW][C]0.18[/C][C]17.2433579896769[/C][C]0.495629682589407[/C][/ROW]
[ROW][C]0.19[/C][C]17.3627980146959[/C][C]0.516822489370672[/C][/ROW]
[ROW][C]0.2[/C][C]17.483861636888[/C][C]0.534958171309566[/C][/ROW]
[ROW][C]0.21[/C][C]17.6059265031521[/C][C]0.547424374795606[/C][/ROW]
[ROW][C]0.22[/C][C]17.7278957899177[/C][C]0.55244890339639[/C][/ROW]
[ROW][C]0.23[/C][C]17.8483697459119[/C][C]0.549019614402229[/C][/ROW]
[ROW][C]0.24[/C][C]17.9658479768568[/C][C]0.537269490205037[/C][/ROW]
[ROW][C]0.25[/C][C]18.0789286318023[/C][C]0.518197912685048[/C][/ROW]
[ROW][C]0.26[/C][C]18.1864761630981[/C][C]0.493572102389556[/C][/ROW]
[ROW][C]0.27[/C][C]18.2877377650197[/C][C]0.46563784243372[/C][/ROW]
[ROW][C]0.28[/C][C]18.3823987876215[/C][C]0.436759997432301[/C][/ROW]
[ROW][C]0.29[/C][C]18.4705778364561[/C][C]0.409243981080132[/C][/ROW]
[ROW][C]0.3[/C][C]18.5527711695277[/C][C]0.38494540177785[/C][/ROW]
[ROW][C]0.31[/C][C]18.6297619662227[/C][C]0.365186245761941[/C][/ROW]
[ROW][C]0.32[/C][C]18.7025123932762[/C][C]0.350697842358918[/C][/ROW]
[ROW][C]0.33[/C][C]18.7720553332903[/C][C]0.341570611353036[/C][/ROW]
[ROW][C]0.34[/C][C]18.839399073691[/C][C]0.337344155851764[/C][/ROW]
[ROW][C]0.35[/C][C]18.9054534223188[/C][C]0.337252457502562[/C][/ROW]
[ROW][C]0.36[/C][C]18.9709808343645[/C][C]0.340311021316108[/C][/ROW]
[ROW][C]0.37[/C][C]19.0365721130421[/C][C]0.345526112223414[/C][/ROW]
[ROW][C]0.38[/C][C]19.1026435523833[/C][C]0.351991349543238[/C][/ROW]
[ROW][C]0.39[/C][C]19.1694510548712[/C][C]0.358933004441009[/C][/ROW]
[ROW][C]0.4[/C][C]19.2371164750743[/C][C]0.365752646534212[/C][/ROW]
[ROW][C]0.41[/C][C]19.3056617427496[/C][C]0.372038264377218[/C][/ROW]
[ROW][C]0.42[/C][C]19.3750467544669[/C][C]0.377594589687658[/C][/ROW]
[ROW][C]0.43[/C][C]19.4452073150228[/C][C]0.382422753909164[/C][/ROW]
[ROW][C]0.44[/C][C]19.5160895339468[/C][C]0.386756020364705[/C][/ROW]
[ROW][C]0.45[/C][C]19.5876772410443[/C][C]0.390918410451267[/C][/ROW]
[ROW][C]0.46[/C][C]19.660009488655[/C][C]0.395368231105738[/C][/ROW]
[ROW][C]0.47[/C][C]19.7331863034375[/C][C]0.400494838134738[/C][/ROW]
[ROW][C]0.48[/C][C]19.8073625638543[/C][C]0.406689473241956[/C][/ROW]
[ROW][C]0.49[/C][C]19.8827319477304[/C][C]0.414093628924105[/C][/ROW]
[ROW][C]0.5[/C][C]19.9595048157947[/C][C]0.422733498546494[/C][/ROW]
[ROW][C]0.51[/C][C]20.0378850960686[/C][C]0.432343613117506[/C][/ROW]
[ROW][C]0.52[/C][C]20.1180512754689[/C][C]0.442635919694944[/C][/ROW]
[ROW][C]0.53[/C][C]20.2001453757217[/C][C]0.453242438912374[/C][/ROW]
[ROW][C]0.54[/C][C]20.2842715674805[/C][C]0.463895149767672[/C][/ROW]
[ROW][C]0.55[/C][C]20.3705034495495[/C][C]0.474438456529595[/C][/ROW]
[ROW][C]0.56[/C][C]20.4588966976996[/C][C]0.484817436990725[/C][/ROW]
[ROW][C]0.57[/C][C]20.5495023608748[/C][C]0.495120365409272[/C][/ROW]
[ROW][C]0.58[/C][C]20.6423758452115[/C][C]0.505498333789759[/C][/ROW]
[ROW][C]0.59[/C][C]20.7375775187512[/C][C]0.516056000041186[/C][/ROW]
[ROW][C]0.6[/C][C]20.8351625613521[/C][C]0.526756078709486[/C][/ROW]
[ROW][C]0.61[/C][C]20.935159741672[/C][C]0.53743371826851[/C][/ROW]
[ROW][C]0.62[/C][C]21.0375408573848[/C][C]0.547729262894205[/C][/ROW]
[ROW][C]0.63[/C][C]21.1421844074209[/C][C]0.557104997083946[/C][/ROW]
[ROW][C]0.64[/C][C]21.2488385799469[/C][C]0.564770398553179[/C][/ROW]
[ROW][C]0.65[/C][C]21.3570897563148[/C][C]0.569838540747496[/C][/ROW]
[ROW][C]0.66[/C][C]21.4663432775132[/C][C]0.571269343254088[/C][/ROW]
[ROW][C]0.67[/C][C]21.5758229100177[/C][C]0.568107656413416[/C][/ROW]
[ROW][C]0.68[/C][C]21.6845939803435[/C][C]0.55955129027823[/C][/ROW]
[ROW][C]0.69[/C][C]21.7916123886229[/C][C]0.545044426991174[/C][/ROW]
[ROW][C]0.7[/C][C]21.8957978777333[/C][C]0.524624301671561[/C][/ROW]
[ROW][C]0.71[/C][C]21.9961256650492[/C][C]0.498714906519306[/C][/ROW]
[ROW][C]0.72[/C][C]22.0917267976198[/C][C]0.468342563557489[/C][/ROW]
[ROW][C]0.73[/C][C]22.1819853740199[/C][C]0.435030249846858[/C][/ROW]
[ROW][C]0.74[/C][C]22.26662077801[/C][C]0.400630152282961[/C][/ROW]
[ROW][C]0.75[/C][C]22.34574534667[/C][C]0.367224188132536[/C][/ROW]
[ROW][C]0.76[/C][C]22.4198917322552[/C][C]0.336929115380459[/C][/ROW]
[ROW][C]0.77[/C][C]22.4900082717206[/C][C]0.311812615254147[/C][/ROW]
[ROW][C]0.78[/C][C]22.5574234489014[/C][C]0.293560722252174[/C][/ROW]
[ROW][C]0.79[/C][C]22.6237810450706[/C][C]0.283514825331225[/C][/ROW]
[ROW][C]0.8[/C][C]22.6909460394982[/C][C]0.282407925410641[/C][/ROW]
[ROW][C]0.81[/C][C]22.7608794388924[/C][C]0.290147323403756[/C][/ROW]
[ROW][C]0.82[/C][C]22.8354807267527[/C][C]0.305795696630921[/C][/ROW]
[ROW][C]0.83[/C][C]22.9164020678052[/C][C]0.32744205650316[/C][/ROW]
[ROW][C]0.84[/C][C]23.0048493979823[/C][C]0.352309495962647[/C][/ROW]
[ROW][C]0.85[/C][C]23.1013994538387[/C][C]0.377064407357066[/C][/ROW]
[ROW][C]0.86[/C][C]23.2058728778635[/C][C]0.398102780717897[/C][/ROW]
[ROW][C]0.87[/C][C]23.3173050743867[/C][C]0.412185176877684[/C][/ROW]
[ROW][C]0.88[/C][C]23.4340450551661[/C][C]0.416895492152988[/C][/ROW]
[ROW][C]0.89[/C][C]23.5539929120631[/C][C]0.411141389468554[/C][/ROW]
[ROW][C]0.9[/C][C]23.6749745154072[/C][C]0.39535576858041[/C][/ROW]
[ROW][C]0.91[/C][C]23.7952680636674[/C][C]0.371496670736109[/C][/ROW]
[ROW][C]0.92[/C][C]23.9143409654456[/C][C]0.343127783718883[/C][/ROW]
[ROW][C]0.93[/C][C]24.0338577507811[/C][C]0.315794388703292[/C][/ROW]
[ROW][C]0.94[/C][C]24.158807498518[/C][C]0.298420818559557[/C][/ROW]
[ROW][C]0.95[/C][C]24.2979850468772[/C][C]0.303194907436919[/C][/ROW]
[ROW][C]0.96[/C][C]24.4621442421516[/C][C]0.335955509767247[/C][/ROW]
[ROW][C]0.97[/C][C]24.6576552500422[/C][C]0.377544260817732[/C][/ROW]
[ROW][C]0.98[/C][C]24.874863990889[/C][C]0.385934993016367[/C][/ROW]
[ROW][C]0.99[/C][C]25.0759523207042[/C][C]0.342010768950666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207129&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207129&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
0.0113.70809959353080.862654931879941
0.0214.17208767728210.816013003391615
0.0314.63768864427050.730315999753585
0.0415.03004670558590.626298772928989
0.0515.34043915923550.541227046065027
0.0615.58654367656350.487344696965501
0.0715.78893854016170.457200779875147
0.0815.96326028072890.44197514091469
0.0916.11962293414720.435897543505495
0.116.26407194298490.434216206966043
0.1116.40007146534970.43335873766944
0.1216.52961894797420.432164968885482
0.1316.65404155495370.431714940759926
0.1416.77452225367380.43436935617986
0.1516.89235164770640.442157935765867
0.1617.00892762491330.455780092493165
0.1717.12558379103830.474340143351771
0.1817.24335798967690.495629682589407
0.1917.36279801469590.516822489370672
0.217.4838616368880.534958171309566
0.2117.60592650315210.547424374795606
0.2217.72789578991770.55244890339639
0.2317.84836974591190.549019614402229
0.2417.96584797685680.537269490205037
0.2518.07892863180230.518197912685048
0.2618.18647616309810.493572102389556
0.2718.28773776501970.46563784243372
0.2818.38239878762150.436759997432301
0.2918.47057783645610.409243981080132
0.318.55277116952770.38494540177785
0.3118.62976196622270.365186245761941
0.3218.70251239327620.350697842358918
0.3318.77205533329030.341570611353036
0.3418.8393990736910.337344155851764
0.3518.90545342231880.337252457502562
0.3618.97098083436450.340311021316108
0.3719.03657211304210.345526112223414
0.3819.10264355238330.351991349543238
0.3919.16945105487120.358933004441009
0.419.23711647507430.365752646534212
0.4119.30566174274960.372038264377218
0.4219.37504675446690.377594589687658
0.4319.44520731502280.382422753909164
0.4419.51608953394680.386756020364705
0.4519.58767724104430.390918410451267
0.4619.6600094886550.395368231105738
0.4719.73318630343750.400494838134738
0.4819.80736256385430.406689473241956
0.4919.88273194773040.414093628924105
0.519.95950481579470.422733498546494
0.5120.03788509606860.432343613117506
0.5220.11805127546890.442635919694944
0.5320.20014537572170.453242438912374
0.5420.28427156748050.463895149767672
0.5520.37050344954950.474438456529595
0.5620.45889669769960.484817436990725
0.5720.54950236087480.495120365409272
0.5820.64237584521150.505498333789759
0.5920.73757751875120.516056000041186
0.620.83516256135210.526756078709486
0.6120.9351597416720.53743371826851
0.6221.03754085738480.547729262894205
0.6321.14218440742090.557104997083946
0.6421.24883857994690.564770398553179
0.6521.35708975631480.569838540747496
0.6621.46634327751320.571269343254088
0.6721.57582291001770.568107656413416
0.6821.68459398034350.55955129027823
0.6921.79161238862290.545044426991174
0.721.89579787773330.524624301671561
0.7121.99612566504920.498714906519306
0.7222.09172679761980.468342563557489
0.7322.18198537401990.435030249846858
0.7422.266620778010.400630152282961
0.7522.345745346670.367224188132536
0.7622.41989173225520.336929115380459
0.7722.49000827172060.311812615254147
0.7822.55742344890140.293560722252174
0.7922.62378104507060.283514825331225
0.822.69094603949820.282407925410641
0.8122.76087943889240.290147323403756
0.8222.83548072675270.305795696630921
0.8322.91640206780520.32744205650316
0.8423.00484939798230.352309495962647
0.8523.10139945383870.377064407357066
0.8623.20587287786350.398102780717897
0.8723.31730507438670.412185176877684
0.8823.43404505516610.416895492152988
0.8923.55399291206310.411141389468554
0.923.67497451540720.39535576858041
0.9123.79526806366740.371496670736109
0.9223.91434096544560.343127783718883
0.9324.03385775078110.315794388703292
0.9424.1588074985180.298420818559557
0.9524.29798504687720.303194907436919
0.9624.46214424215160.335955509767247
0.9724.65765525004220.377544260817732
0.9824.8748639908890.385934993016367
0.9925.07595232070420.342010768950666


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.9 ; par3 = 0.1 ;
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')