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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 14 Oct 2009 08:36:57 -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/2009/Oct/14/t1255531065yp7p14l9cw1lb3n.htm/, Retrieved Sun, 05 May 2024 06:14:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46442, Retrieved Sun, 05 May 2024 06:14:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell Davis Qua...] [2009-10-14 14:36:57] [6590c54be3d1f5d26c781440f79f0ebc] [Current]
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Dataseries X:
2.12
2.12
2.13
2.14
2.15
2.15
2.16
2.17
2.17
2.18
2.17
2.17
2.18
2.17
2.18
2.18
2.18
2.17
2.17
2.18
2.17
2.18
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.19
2.19
2.19
2.2
2.2
2.21
2.21
2.21
2.2
2.21
2.2
2.21
2.21
2.22
2.22
2.23
2.24
2.24
2.25
2.25
2.32
2.36
2.37
2.37
2.37
2.38
2.38
2.41
2.42
2.43
2.44
2.44
2.44
2.43
2.43
2.43
2.42
2.42
2.42
2.42
2.42




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46442&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46442&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46442&T=0

As an alternative you can also use a 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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.121521002032970.00415961567304922
0.022.125348339268350.00885538851960946
0.032.130989241700230.0116475800418794
0.042.137371821830910.0125806084789492
0.052.143635914109830.0124785723786302
0.062.149343582962110.0118957431929048
0.072.154336387908310.0109665815255385
0.082.158564463762080.00965336330678722
0.092.162009932941520.00799739113182099
0.12.164684305500900.00617966685507053
0.112.166644761977380.00443826136783228
0.122.167995266117710.00296434788500816
0.132.168868346881050.00184724983006334
0.142.169399606845660.00108212710496842
0.152.169707577248740.000609520356029865
0.162.169884479512260.000362068842155063
0.172.169996698641970.000294918016264448
0.182.170090677952440.000376669629969804
0.192.170200044329430.000565802239757883
0.22.170351296242980.000849338534611352
0.212.170566965020420.00122265629760001
0.222.170866255339040.00167495704476434
0.232.171263787657680.00218295984058377
0.242.171767363589590.00270723411741019
0.252.172375761239400.00320171259152843
0.262.173077465464150.00361385316782656
0.272.173850950201280.00389976681988308
0.282.174666698631530.00402402648600394
0.292.175490673039070.0039784571427983
0.32.17628856202410.00376992778724774
0.312.17702994967410.00342730271341117
0.322.177691614458820.00299320049107073
0.332.178259437376920.00251448784577874
0.342.178728777870010.00203390177401547
0.352.179103539368170.00158977177431059
0.362.179394394508770.00120815144286944
0.372.179616725612340.000908332883970447
0.382.179788767978650.000697871356978128
0.392.179930271601630.000596011726292056
0.42.180061785993730.000613500993907296
0.412.180204480866710.000752898694733185
0.422.180380280592090.00101019094019021
0.432.180612028991590.00138720018701271
0.442.180923412244340.00188309648593194
0.452.181338439864410.00249568070603860
0.462.181880398811290.0032231494341356
0.472.182570331652820.00405013322116387
0.482.183425221099720.00494439337087646
0.492.184456164338750.0058756796582947
0.52.185666869514040.00679859236302712
0.512.187052791313910.00766815978848557
0.522.188601145187240.00844124310302568
0.532.190291917678130.00908504863093089
0.542.192099851897070.00957845286506898
0.552.193997262581170.00991528523510807
0.562.195957447641420.0101073726539800
0.572.197958422235860.0101870964247508
0.582.199986703207560.0102023782117107
0.592.202040903616970.0102239251131083
0.62.204134944970540.0103316712616375
0.612.206300746633020.0106270512956848
0.622.208590295153720.0112126153311928
0.632.211077010035650.0122025519884085
0.642.213856273479210.0136912340398312
0.652.217044842911620.0157757601268385
0.662.220778604482530.0185243495803365
0.672.225207807081130.0219769592747079
0.682.230488691951470.0261425964165238
0.692.236770542978260.0309475210282958
0.72.244177876734460.0362407741539435
0.712.252788882865290.0417463765765161
0.722.262613129505200.0470946405757723
0.732.273573395494500.0518395781556366
0.742.28549741476530.0555161204671415
0.752.298124462196990.0577282395068971
0.762.311128684585640.0582284593015097
0.772.324156369989630.0569875296975263
0.782.336869415136950.0541987880772097
0.792.348984141573440.0502506071367353
0.82.360295112605670.0456143683121759
0.812.370678252180240.0407446695092387
0.822.380075039496390.0359607370062202
0.832.388466881278980.0313998435657085
0.842.395852491651840.0270514389746541
0.852.402238984561840.0228575056864614
0.862.40764977158980.0188192253721191
0.872.4121425611130.0150494276103711
0.882.415823855350950.0117509950192044
0.892.418846880828420.0091329163029335
0.92.421389215467030.00730265710972703
0.912.423620670278880.0061690496490749
0.922.425682025982810.00547351190089715
0.932.427689559842170.00500151747263985
0.942.429753949710730.00475992419470923
0.952.431970226750990.00484340554083492
0.962.434339442725440.00500000133503054
0.972.436660841156100.0045518071147106
0.982.438541816101170.00307174438772944
0.992.439643592210540.00114090616260313

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.12152100203297 & 0.00415961567304922 \tabularnewline
0.02 & 2.12534833926835 & 0.00885538851960946 \tabularnewline
0.03 & 2.13098924170023 & 0.0116475800418794 \tabularnewline
0.04 & 2.13737182183091 & 0.0125806084789492 \tabularnewline
0.05 & 2.14363591410983 & 0.0124785723786302 \tabularnewline
0.06 & 2.14934358296211 & 0.0118957431929048 \tabularnewline
0.07 & 2.15433638790831 & 0.0109665815255385 \tabularnewline
0.08 & 2.15856446376208 & 0.00965336330678722 \tabularnewline
0.09 & 2.16200993294152 & 0.00799739113182099 \tabularnewline
0.1 & 2.16468430550090 & 0.00617966685507053 \tabularnewline
0.11 & 2.16664476197738 & 0.00443826136783228 \tabularnewline
0.12 & 2.16799526611771 & 0.00296434788500816 \tabularnewline
0.13 & 2.16886834688105 & 0.00184724983006334 \tabularnewline
0.14 & 2.16939960684566 & 0.00108212710496842 \tabularnewline
0.15 & 2.16970757724874 & 0.000609520356029865 \tabularnewline
0.16 & 2.16988447951226 & 0.000362068842155063 \tabularnewline
0.17 & 2.16999669864197 & 0.000294918016264448 \tabularnewline
0.18 & 2.17009067795244 & 0.000376669629969804 \tabularnewline
0.19 & 2.17020004432943 & 0.000565802239757883 \tabularnewline
0.2 & 2.17035129624298 & 0.000849338534611352 \tabularnewline
0.21 & 2.17056696502042 & 0.00122265629760001 \tabularnewline
0.22 & 2.17086625533904 & 0.00167495704476434 \tabularnewline
0.23 & 2.17126378765768 & 0.00218295984058377 \tabularnewline
0.24 & 2.17176736358959 & 0.00270723411741019 \tabularnewline
0.25 & 2.17237576123940 & 0.00320171259152843 \tabularnewline
0.26 & 2.17307746546415 & 0.00361385316782656 \tabularnewline
0.27 & 2.17385095020128 & 0.00389976681988308 \tabularnewline
0.28 & 2.17466669863153 & 0.00402402648600394 \tabularnewline
0.29 & 2.17549067303907 & 0.0039784571427983 \tabularnewline
0.3 & 2.1762885620241 & 0.00376992778724774 \tabularnewline
0.31 & 2.1770299496741 & 0.00342730271341117 \tabularnewline
0.32 & 2.17769161445882 & 0.00299320049107073 \tabularnewline
0.33 & 2.17825943737692 & 0.00251448784577874 \tabularnewline
0.34 & 2.17872877787001 & 0.00203390177401547 \tabularnewline
0.35 & 2.17910353936817 & 0.00158977177431059 \tabularnewline
0.36 & 2.17939439450877 & 0.00120815144286944 \tabularnewline
0.37 & 2.17961672561234 & 0.000908332883970447 \tabularnewline
0.38 & 2.17978876797865 & 0.000697871356978128 \tabularnewline
0.39 & 2.17993027160163 & 0.000596011726292056 \tabularnewline
0.4 & 2.18006178599373 & 0.000613500993907296 \tabularnewline
0.41 & 2.18020448086671 & 0.000752898694733185 \tabularnewline
0.42 & 2.18038028059209 & 0.00101019094019021 \tabularnewline
0.43 & 2.18061202899159 & 0.00138720018701271 \tabularnewline
0.44 & 2.18092341224434 & 0.00188309648593194 \tabularnewline
0.45 & 2.18133843986441 & 0.00249568070603860 \tabularnewline
0.46 & 2.18188039881129 & 0.0032231494341356 \tabularnewline
0.47 & 2.18257033165282 & 0.00405013322116387 \tabularnewline
0.48 & 2.18342522109972 & 0.00494439337087646 \tabularnewline
0.49 & 2.18445616433875 & 0.0058756796582947 \tabularnewline
0.5 & 2.18566686951404 & 0.00679859236302712 \tabularnewline
0.51 & 2.18705279131391 & 0.00766815978848557 \tabularnewline
0.52 & 2.18860114518724 & 0.00844124310302568 \tabularnewline
0.53 & 2.19029191767813 & 0.00908504863093089 \tabularnewline
0.54 & 2.19209985189707 & 0.00957845286506898 \tabularnewline
0.55 & 2.19399726258117 & 0.00991528523510807 \tabularnewline
0.56 & 2.19595744764142 & 0.0101073726539800 \tabularnewline
0.57 & 2.19795842223586 & 0.0101870964247508 \tabularnewline
0.58 & 2.19998670320756 & 0.0102023782117107 \tabularnewline
0.59 & 2.20204090361697 & 0.0102239251131083 \tabularnewline
0.6 & 2.20413494497054 & 0.0103316712616375 \tabularnewline
0.61 & 2.20630074663302 & 0.0106270512956848 \tabularnewline
0.62 & 2.20859029515372 & 0.0112126153311928 \tabularnewline
0.63 & 2.21107701003565 & 0.0122025519884085 \tabularnewline
0.64 & 2.21385627347921 & 0.0136912340398312 \tabularnewline
0.65 & 2.21704484291162 & 0.0157757601268385 \tabularnewline
0.66 & 2.22077860448253 & 0.0185243495803365 \tabularnewline
0.67 & 2.22520780708113 & 0.0219769592747079 \tabularnewline
0.68 & 2.23048869195147 & 0.0261425964165238 \tabularnewline
0.69 & 2.23677054297826 & 0.0309475210282958 \tabularnewline
0.7 & 2.24417787673446 & 0.0362407741539435 \tabularnewline
0.71 & 2.25278888286529 & 0.0417463765765161 \tabularnewline
0.72 & 2.26261312950520 & 0.0470946405757723 \tabularnewline
0.73 & 2.27357339549450 & 0.0518395781556366 \tabularnewline
0.74 & 2.2854974147653 & 0.0555161204671415 \tabularnewline
0.75 & 2.29812446219699 & 0.0577282395068971 \tabularnewline
0.76 & 2.31112868458564 & 0.0582284593015097 \tabularnewline
0.77 & 2.32415636998963 & 0.0569875296975263 \tabularnewline
0.78 & 2.33686941513695 & 0.0541987880772097 \tabularnewline
0.79 & 2.34898414157344 & 0.0502506071367353 \tabularnewline
0.8 & 2.36029511260567 & 0.0456143683121759 \tabularnewline
0.81 & 2.37067825218024 & 0.0407446695092387 \tabularnewline
0.82 & 2.38007503949639 & 0.0359607370062202 \tabularnewline
0.83 & 2.38846688127898 & 0.0313998435657085 \tabularnewline
0.84 & 2.39585249165184 & 0.0270514389746541 \tabularnewline
0.85 & 2.40223898456184 & 0.0228575056864614 \tabularnewline
0.86 & 2.4076497715898 & 0.0188192253721191 \tabularnewline
0.87 & 2.412142561113 & 0.0150494276103711 \tabularnewline
0.88 & 2.41582385535095 & 0.0117509950192044 \tabularnewline
0.89 & 2.41884688082842 & 0.0091329163029335 \tabularnewline
0.9 & 2.42138921546703 & 0.00730265710972703 \tabularnewline
0.91 & 2.42362067027888 & 0.0061690496490749 \tabularnewline
0.92 & 2.42568202598281 & 0.00547351190089715 \tabularnewline
0.93 & 2.42768955984217 & 0.00500151747263985 \tabularnewline
0.94 & 2.42975394971073 & 0.00475992419470923 \tabularnewline
0.95 & 2.43197022675099 & 0.00484340554083492 \tabularnewline
0.96 & 2.43433944272544 & 0.00500000133503054 \tabularnewline
0.97 & 2.43666084115610 & 0.0045518071147106 \tabularnewline
0.98 & 2.43854181610117 & 0.00307174438772944 \tabularnewline
0.99 & 2.43964359221054 & 0.00114090616260313 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46442&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]2.12152100203297[/C][C]0.00415961567304922[/C][/ROW]
[ROW][C]0.02[/C][C]2.12534833926835[/C][C]0.00885538851960946[/C][/ROW]
[ROW][C]0.03[/C][C]2.13098924170023[/C][C]0.0116475800418794[/C][/ROW]
[ROW][C]0.04[/C][C]2.13737182183091[/C][C]0.0125806084789492[/C][/ROW]
[ROW][C]0.05[/C][C]2.14363591410983[/C][C]0.0124785723786302[/C][/ROW]
[ROW][C]0.06[/C][C]2.14934358296211[/C][C]0.0118957431929048[/C][/ROW]
[ROW][C]0.07[/C][C]2.15433638790831[/C][C]0.0109665815255385[/C][/ROW]
[ROW][C]0.08[/C][C]2.15856446376208[/C][C]0.00965336330678722[/C][/ROW]
[ROW][C]0.09[/C][C]2.16200993294152[/C][C]0.00799739113182099[/C][/ROW]
[ROW][C]0.1[/C][C]2.16468430550090[/C][C]0.00617966685507053[/C][/ROW]
[ROW][C]0.11[/C][C]2.16664476197738[/C][C]0.00443826136783228[/C][/ROW]
[ROW][C]0.12[/C][C]2.16799526611771[/C][C]0.00296434788500816[/C][/ROW]
[ROW][C]0.13[/C][C]2.16886834688105[/C][C]0.00184724983006334[/C][/ROW]
[ROW][C]0.14[/C][C]2.16939960684566[/C][C]0.00108212710496842[/C][/ROW]
[ROW][C]0.15[/C][C]2.16970757724874[/C][C]0.000609520356029865[/C][/ROW]
[ROW][C]0.16[/C][C]2.16988447951226[/C][C]0.000362068842155063[/C][/ROW]
[ROW][C]0.17[/C][C]2.16999669864197[/C][C]0.000294918016264448[/C][/ROW]
[ROW][C]0.18[/C][C]2.17009067795244[/C][C]0.000376669629969804[/C][/ROW]
[ROW][C]0.19[/C][C]2.17020004432943[/C][C]0.000565802239757883[/C][/ROW]
[ROW][C]0.2[/C][C]2.17035129624298[/C][C]0.000849338534611352[/C][/ROW]
[ROW][C]0.21[/C][C]2.17056696502042[/C][C]0.00122265629760001[/C][/ROW]
[ROW][C]0.22[/C][C]2.17086625533904[/C][C]0.00167495704476434[/C][/ROW]
[ROW][C]0.23[/C][C]2.17126378765768[/C][C]0.00218295984058377[/C][/ROW]
[ROW][C]0.24[/C][C]2.17176736358959[/C][C]0.00270723411741019[/C][/ROW]
[ROW][C]0.25[/C][C]2.17237576123940[/C][C]0.00320171259152843[/C][/ROW]
[ROW][C]0.26[/C][C]2.17307746546415[/C][C]0.00361385316782656[/C][/ROW]
[ROW][C]0.27[/C][C]2.17385095020128[/C][C]0.00389976681988308[/C][/ROW]
[ROW][C]0.28[/C][C]2.17466669863153[/C][C]0.00402402648600394[/C][/ROW]
[ROW][C]0.29[/C][C]2.17549067303907[/C][C]0.0039784571427983[/C][/ROW]
[ROW][C]0.3[/C][C]2.1762885620241[/C][C]0.00376992778724774[/C][/ROW]
[ROW][C]0.31[/C][C]2.1770299496741[/C][C]0.00342730271341117[/C][/ROW]
[ROW][C]0.32[/C][C]2.17769161445882[/C][C]0.00299320049107073[/C][/ROW]
[ROW][C]0.33[/C][C]2.17825943737692[/C][C]0.00251448784577874[/C][/ROW]
[ROW][C]0.34[/C][C]2.17872877787001[/C][C]0.00203390177401547[/C][/ROW]
[ROW][C]0.35[/C][C]2.17910353936817[/C][C]0.00158977177431059[/C][/ROW]
[ROW][C]0.36[/C][C]2.17939439450877[/C][C]0.00120815144286944[/C][/ROW]
[ROW][C]0.37[/C][C]2.17961672561234[/C][C]0.000908332883970447[/C][/ROW]
[ROW][C]0.38[/C][C]2.17978876797865[/C][C]0.000697871356978128[/C][/ROW]
[ROW][C]0.39[/C][C]2.17993027160163[/C][C]0.000596011726292056[/C][/ROW]
[ROW][C]0.4[/C][C]2.18006178599373[/C][C]0.000613500993907296[/C][/ROW]
[ROW][C]0.41[/C][C]2.18020448086671[/C][C]0.000752898694733185[/C][/ROW]
[ROW][C]0.42[/C][C]2.18038028059209[/C][C]0.00101019094019021[/C][/ROW]
[ROW][C]0.43[/C][C]2.18061202899159[/C][C]0.00138720018701271[/C][/ROW]
[ROW][C]0.44[/C][C]2.18092341224434[/C][C]0.00188309648593194[/C][/ROW]
[ROW][C]0.45[/C][C]2.18133843986441[/C][C]0.00249568070603860[/C][/ROW]
[ROW][C]0.46[/C][C]2.18188039881129[/C][C]0.0032231494341356[/C][/ROW]
[ROW][C]0.47[/C][C]2.18257033165282[/C][C]0.00405013322116387[/C][/ROW]
[ROW][C]0.48[/C][C]2.18342522109972[/C][C]0.00494439337087646[/C][/ROW]
[ROW][C]0.49[/C][C]2.18445616433875[/C][C]0.0058756796582947[/C][/ROW]
[ROW][C]0.5[/C][C]2.18566686951404[/C][C]0.00679859236302712[/C][/ROW]
[ROW][C]0.51[/C][C]2.18705279131391[/C][C]0.00766815978848557[/C][/ROW]
[ROW][C]0.52[/C][C]2.18860114518724[/C][C]0.00844124310302568[/C][/ROW]
[ROW][C]0.53[/C][C]2.19029191767813[/C][C]0.00908504863093089[/C][/ROW]
[ROW][C]0.54[/C][C]2.19209985189707[/C][C]0.00957845286506898[/C][/ROW]
[ROW][C]0.55[/C][C]2.19399726258117[/C][C]0.00991528523510807[/C][/ROW]
[ROW][C]0.56[/C][C]2.19595744764142[/C][C]0.0101073726539800[/C][/ROW]
[ROW][C]0.57[/C][C]2.19795842223586[/C][C]0.0101870964247508[/C][/ROW]
[ROW][C]0.58[/C][C]2.19998670320756[/C][C]0.0102023782117107[/C][/ROW]
[ROW][C]0.59[/C][C]2.20204090361697[/C][C]0.0102239251131083[/C][/ROW]
[ROW][C]0.6[/C][C]2.20413494497054[/C][C]0.0103316712616375[/C][/ROW]
[ROW][C]0.61[/C][C]2.20630074663302[/C][C]0.0106270512956848[/C][/ROW]
[ROW][C]0.62[/C][C]2.20859029515372[/C][C]0.0112126153311928[/C][/ROW]
[ROW][C]0.63[/C][C]2.21107701003565[/C][C]0.0122025519884085[/C][/ROW]
[ROW][C]0.64[/C][C]2.21385627347921[/C][C]0.0136912340398312[/C][/ROW]
[ROW][C]0.65[/C][C]2.21704484291162[/C][C]0.0157757601268385[/C][/ROW]
[ROW][C]0.66[/C][C]2.22077860448253[/C][C]0.0185243495803365[/C][/ROW]
[ROW][C]0.67[/C][C]2.22520780708113[/C][C]0.0219769592747079[/C][/ROW]
[ROW][C]0.68[/C][C]2.23048869195147[/C][C]0.0261425964165238[/C][/ROW]
[ROW][C]0.69[/C][C]2.23677054297826[/C][C]0.0309475210282958[/C][/ROW]
[ROW][C]0.7[/C][C]2.24417787673446[/C][C]0.0362407741539435[/C][/ROW]
[ROW][C]0.71[/C][C]2.25278888286529[/C][C]0.0417463765765161[/C][/ROW]
[ROW][C]0.72[/C][C]2.26261312950520[/C][C]0.0470946405757723[/C][/ROW]
[ROW][C]0.73[/C][C]2.27357339549450[/C][C]0.0518395781556366[/C][/ROW]
[ROW][C]0.74[/C][C]2.2854974147653[/C][C]0.0555161204671415[/C][/ROW]
[ROW][C]0.75[/C][C]2.29812446219699[/C][C]0.0577282395068971[/C][/ROW]
[ROW][C]0.76[/C][C]2.31112868458564[/C][C]0.0582284593015097[/C][/ROW]
[ROW][C]0.77[/C][C]2.32415636998963[/C][C]0.0569875296975263[/C][/ROW]
[ROW][C]0.78[/C][C]2.33686941513695[/C][C]0.0541987880772097[/C][/ROW]
[ROW][C]0.79[/C][C]2.34898414157344[/C][C]0.0502506071367353[/C][/ROW]
[ROW][C]0.8[/C][C]2.36029511260567[/C][C]0.0456143683121759[/C][/ROW]
[ROW][C]0.81[/C][C]2.37067825218024[/C][C]0.0407446695092387[/C][/ROW]
[ROW][C]0.82[/C][C]2.38007503949639[/C][C]0.0359607370062202[/C][/ROW]
[ROW][C]0.83[/C][C]2.38846688127898[/C][C]0.0313998435657085[/C][/ROW]
[ROW][C]0.84[/C][C]2.39585249165184[/C][C]0.0270514389746541[/C][/ROW]
[ROW][C]0.85[/C][C]2.40223898456184[/C][C]0.0228575056864614[/C][/ROW]
[ROW][C]0.86[/C][C]2.4076497715898[/C][C]0.0188192253721191[/C][/ROW]
[ROW][C]0.87[/C][C]2.412142561113[/C][C]0.0150494276103711[/C][/ROW]
[ROW][C]0.88[/C][C]2.41582385535095[/C][C]0.0117509950192044[/C][/ROW]
[ROW][C]0.89[/C][C]2.41884688082842[/C][C]0.0091329163029335[/C][/ROW]
[ROW][C]0.9[/C][C]2.42138921546703[/C][C]0.00730265710972703[/C][/ROW]
[ROW][C]0.91[/C][C]2.42362067027888[/C][C]0.0061690496490749[/C][/ROW]
[ROW][C]0.92[/C][C]2.42568202598281[/C][C]0.00547351190089715[/C][/ROW]
[ROW][C]0.93[/C][C]2.42768955984217[/C][C]0.00500151747263985[/C][/ROW]
[ROW][C]0.94[/C][C]2.42975394971073[/C][C]0.00475992419470923[/C][/ROW]
[ROW][C]0.95[/C][C]2.43197022675099[/C][C]0.00484340554083492[/C][/ROW]
[ROW][C]0.96[/C][C]2.43433944272544[/C][C]0.00500000133503054[/C][/ROW]
[ROW][C]0.97[/C][C]2.43666084115610[/C][C]0.0045518071147106[/C][/ROW]
[ROW][C]0.98[/C][C]2.43854181610117[/C][C]0.00307174438772944[/C][/ROW]
[ROW][C]0.99[/C][C]2.43964359221054[/C][C]0.00114090616260313[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46442&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46442&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.121521002032970.00415961567304922
0.022.125348339268350.00885538851960946
0.032.130989241700230.0116475800418794
0.042.137371821830910.0125806084789492
0.052.143635914109830.0124785723786302
0.062.149343582962110.0118957431929048
0.072.154336387908310.0109665815255385
0.082.158564463762080.00965336330678722
0.092.162009932941520.00799739113182099
0.12.164684305500900.00617966685507053
0.112.166644761977380.00443826136783228
0.122.167995266117710.00296434788500816
0.132.168868346881050.00184724983006334
0.142.169399606845660.00108212710496842
0.152.169707577248740.000609520356029865
0.162.169884479512260.000362068842155063
0.172.169996698641970.000294918016264448
0.182.170090677952440.000376669629969804
0.192.170200044329430.000565802239757883
0.22.170351296242980.000849338534611352
0.212.170566965020420.00122265629760001
0.222.170866255339040.00167495704476434
0.232.171263787657680.00218295984058377
0.242.171767363589590.00270723411741019
0.252.172375761239400.00320171259152843
0.262.173077465464150.00361385316782656
0.272.173850950201280.00389976681988308
0.282.174666698631530.00402402648600394
0.292.175490673039070.0039784571427983
0.32.17628856202410.00376992778724774
0.312.17702994967410.00342730271341117
0.322.177691614458820.00299320049107073
0.332.178259437376920.00251448784577874
0.342.178728777870010.00203390177401547
0.352.179103539368170.00158977177431059
0.362.179394394508770.00120815144286944
0.372.179616725612340.000908332883970447
0.382.179788767978650.000697871356978128
0.392.179930271601630.000596011726292056
0.42.180061785993730.000613500993907296
0.412.180204480866710.000752898694733185
0.422.180380280592090.00101019094019021
0.432.180612028991590.00138720018701271
0.442.180923412244340.00188309648593194
0.452.181338439864410.00249568070603860
0.462.181880398811290.0032231494341356
0.472.182570331652820.00405013322116387
0.482.183425221099720.00494439337087646
0.492.184456164338750.0058756796582947
0.52.185666869514040.00679859236302712
0.512.187052791313910.00766815978848557
0.522.188601145187240.00844124310302568
0.532.190291917678130.00908504863093089
0.542.192099851897070.00957845286506898
0.552.193997262581170.00991528523510807
0.562.195957447641420.0101073726539800
0.572.197958422235860.0101870964247508
0.582.199986703207560.0102023782117107
0.592.202040903616970.0102239251131083
0.62.204134944970540.0103316712616375
0.612.206300746633020.0106270512956848
0.622.208590295153720.0112126153311928
0.632.211077010035650.0122025519884085
0.642.213856273479210.0136912340398312
0.652.217044842911620.0157757601268385
0.662.220778604482530.0185243495803365
0.672.225207807081130.0219769592747079
0.682.230488691951470.0261425964165238
0.692.236770542978260.0309475210282958
0.72.244177876734460.0362407741539435
0.712.252788882865290.0417463765765161
0.722.262613129505200.0470946405757723
0.732.273573395494500.0518395781556366
0.742.28549741476530.0555161204671415
0.752.298124462196990.0577282395068971
0.762.311128684585640.0582284593015097
0.772.324156369989630.0569875296975263
0.782.336869415136950.0541987880772097
0.792.348984141573440.0502506071367353
0.82.360295112605670.0456143683121759
0.812.370678252180240.0407446695092387
0.822.380075039496390.0359607370062202
0.832.388466881278980.0313998435657085
0.842.395852491651840.0270514389746541
0.852.402238984561840.0228575056864614
0.862.40764977158980.0188192253721191
0.872.4121425611130.0150494276103711
0.882.415823855350950.0117509950192044
0.892.418846880828420.0091329163029335
0.92.421389215467030.00730265710972703
0.912.423620670278880.0061690496490749
0.922.425682025982810.00547351190089715
0.932.427689559842170.00500151747263985
0.942.429753949710730.00475992419470923
0.952.431970226750990.00484340554083492
0.962.434339442725440.00500000133503054
0.972.436660841156100.0045518071147106
0.982.438541816101170.00307174438772944
0.992.439643592210540.00114090616260313



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')