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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 computationWed, 05 Oct 2016 11:26:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475663245e61wcpnn1t4ntza.htm/, Retrieved Sun, 05 May 2024 18:05:48 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:05:48 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
77.34
78.15
78.31
78.71
78.68
78.85
78.97
79.47
80.6
82.24
83.25
84.55
85.91
86.84
87.44
87.79
88.08
88.38
88.53
88.79
88.85
89.26
89.31
89.39
89.76
89.94
89.99
90.08
89.95
90.2
89.7
89.5
89.25
89.13
89.07
89.06
89.15
89.38
89.4
89.51
89.62
89.65
89.68
89.92
90.26
90.89
91.08
91.13
91.83
92.66
93.45
93.95
94.12
94.31
94.25
94.51
94.58
94.85
95.31
95.75
96.06
96.4
96.57
96.47
96.34
96.22
96.2
96.71
97.05
97.82
98.22
98.5
98.94
99.5
99.89
100
100.1
100.16
100.05
100.03
100
100.32
100.53
100.49
100.38
100.22
100.5
100.57
100.6
100.23
100.29
100.01
100.13
100.22
100.2
100.34
100.73
100.29
101.11
101.09
101.01
101.27
101.57
101.69
101
101.43
101.13
101.23

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'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0177.71643376047630.56614909023565
0.0278.15559849078930.39404452016886
0.0378.49481490978440.416244802811249
0.0478.81067891966450.625698732035471
0.0579.2074632617621.02171965891322
0.0679.75829639990811.53985108185473
0.0780.49238505589512.06772683916704
0.0881.39084848273812.49248470195629
0.0982.39736927864852.74082506602239
0.183.43887049867632.79195930150044
0.1184.44574598614642.6691555807984
0.1285.36504761698812.42038783326895
0.1386.16545646018372.10153659739225
0.1486.83599136627291.76320443793629
0.1587.38120216226361.44324088579146
0.1687.81522586724771.16317638440745
0.1788.15637925482980.931363664237754
0.1888.42320906904160.746031579008381
0.1988.63223080769180.600425547062696
0.288.79708014048890.48779977166596
0.2188.92856525876640.401134621238543
0.2289.0351235360370.335949761581546
0.2389.12334376919030.28815929484993
0.2489.19839606797010.25499655230524
0.2589.2643412262540.2336582896865
0.2689.32435287131580.221747941521502
0.2789.38089705705990.217305648032901
0.2889.43590224061410.218788847069519
0.2989.49093709863180.225604288633441
0.389.5474021313590.237335398370997
0.3189.60673314038340.255157034162653
0.3289.67060736561490.281182844360666
0.3389.74113423216330.317817448266551
0.3489.82100266926280.368248988780023
0.3589.91354857755410.436034170017121
0.3690.02270344634650.523837123159348
0.3790.15279263857710.63279125150951
0.3890.30817211956660.761737703430301
0.3990.49272470280320.907219655334767
0.490.70927599711731.06265657629275
0.4190.95902652428571.21921024132873
0.4291.24111775002361.36614888824823
0.4391.55244489730081.49305251308092
0.4491.8877928032871.59031660376944
0.4592.24030656283281.65176388418232
0.4692.60223077196441.67492702198696
0.4792.96578220752681.6620871607019
0.4893.32398405813141.6189043076422
0.4993.67130061661461.55390732852251
0.594.00396950605171.47621160928763
0.5194.32001649534971.39446597148961
0.5294.61902602648631.31481117457596
0.5394.90179772857991.24154613024417
0.5495.17002548464941.17766298263183
0.5595.42609043040881.12485554515487
0.5695.6729818317741.08553850553767
0.5795.91428159850731.06287614905696
0.5896.15410056294551.05999167851031
0.5996.39685668890061.07870031961515
0.696.64683710720621.11733686338174
0.6196.90756891808131.17103172132216
0.6297.18110859806151.23114538854244
0.6397.46741678108361.28598298680437
0.6497.76399392597831.32377068036182
0.6598.06590824667251.33402449007271
0.6698.36626168141971.30947187056011
0.6798.65703596911621.24772895495342
0.6898.93016737261461.15107836746087
0.6999.17864075368221.02677626011447
0.799.3973876241110.885063181831148
0.7199.58382067881610.737549308921352
0.7299.73792636786860.59545264578638
0.7399.86194239814070.467626937684366
0.7499.95973866292260.3599745855978
0.75100.0360723750530.274549809866329
0.76100.0958887713940.210938190201319
0.77100.1437929131250.166561395954432
0.78100.1837462372880.13811822052919
0.79100.218970812060.121659248072615
0.8100.251998162650.114182398829639
0.81100.2847895647850.113276424635564
0.82100.318876946150.117046460982881
0.83100.3555098262170.123945671875788
0.84100.3958167508420.13361252320215
0.85100.4409737448720.145846059355684
0.86100.4923120198790.161337682237314
0.87100.5512287931080.180290910840399
0.88100.6187694870340.201380794390944
0.89100.6949077838530.220325380738677
0.9100.7778488888470.230791638949068
0.91100.8639365207410.227160437845206
0.92100.9486621578590.208333830704998
0.93101.0287101944620.179772174687163
0.94101.1041956340620.152627040018947
0.95101.1798323272790.138692748333871
0.96101.2639723821050.14258926211703
0.97101.3649931761440.155832898028952
0.98101.4850346538560.157744418148692
0.99101.6092502678680.135212564167762

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 77.7164337604763 & 0.56614909023565 \tabularnewline
0.02 & 78.1555984907893 & 0.39404452016886 \tabularnewline
0.03 & 78.4948149097844 & 0.416244802811249 \tabularnewline
0.04 & 78.8106789196645 & 0.625698732035471 \tabularnewline
0.05 & 79.207463261762 & 1.02171965891322 \tabularnewline
0.06 & 79.7582963999081 & 1.53985108185473 \tabularnewline
0.07 & 80.4923850558951 & 2.06772683916704 \tabularnewline
0.08 & 81.3908484827381 & 2.49248470195629 \tabularnewline
0.09 & 82.3973692786485 & 2.74082506602239 \tabularnewline
0.1 & 83.4388704986763 & 2.79195930150044 \tabularnewline
0.11 & 84.4457459861464 & 2.6691555807984 \tabularnewline
0.12 & 85.3650476169881 & 2.42038783326895 \tabularnewline
0.13 & 86.1654564601837 & 2.10153659739225 \tabularnewline
0.14 & 86.8359913662729 & 1.76320443793629 \tabularnewline
0.15 & 87.3812021622636 & 1.44324088579146 \tabularnewline
0.16 & 87.8152258672477 & 1.16317638440745 \tabularnewline
0.17 & 88.1563792548298 & 0.931363664237754 \tabularnewline
0.18 & 88.4232090690416 & 0.746031579008381 \tabularnewline
0.19 & 88.6322308076918 & 0.600425547062696 \tabularnewline
0.2 & 88.7970801404889 & 0.48779977166596 \tabularnewline
0.21 & 88.9285652587664 & 0.401134621238543 \tabularnewline
0.22 & 89.035123536037 & 0.335949761581546 \tabularnewline
0.23 & 89.1233437691903 & 0.28815929484993 \tabularnewline
0.24 & 89.1983960679701 & 0.25499655230524 \tabularnewline
0.25 & 89.264341226254 & 0.2336582896865 \tabularnewline
0.26 & 89.3243528713158 & 0.221747941521502 \tabularnewline
0.27 & 89.3808970570599 & 0.217305648032901 \tabularnewline
0.28 & 89.4359022406141 & 0.218788847069519 \tabularnewline
0.29 & 89.4909370986318 & 0.225604288633441 \tabularnewline
0.3 & 89.547402131359 & 0.237335398370997 \tabularnewline
0.31 & 89.6067331403834 & 0.255157034162653 \tabularnewline
0.32 & 89.6706073656149 & 0.281182844360666 \tabularnewline
0.33 & 89.7411342321633 & 0.317817448266551 \tabularnewline
0.34 & 89.8210026692628 & 0.368248988780023 \tabularnewline
0.35 & 89.9135485775541 & 0.436034170017121 \tabularnewline
0.36 & 90.0227034463465 & 0.523837123159348 \tabularnewline
0.37 & 90.1527926385771 & 0.63279125150951 \tabularnewline
0.38 & 90.3081721195666 & 0.761737703430301 \tabularnewline
0.39 & 90.4927247028032 & 0.907219655334767 \tabularnewline
0.4 & 90.7092759971173 & 1.06265657629275 \tabularnewline
0.41 & 90.9590265242857 & 1.21921024132873 \tabularnewline
0.42 & 91.2411177500236 & 1.36614888824823 \tabularnewline
0.43 & 91.5524448973008 & 1.49305251308092 \tabularnewline
0.44 & 91.887792803287 & 1.59031660376944 \tabularnewline
0.45 & 92.2403065628328 & 1.65176388418232 \tabularnewline
0.46 & 92.6022307719644 & 1.67492702198696 \tabularnewline
0.47 & 92.9657822075268 & 1.6620871607019 \tabularnewline
0.48 & 93.3239840581314 & 1.6189043076422 \tabularnewline
0.49 & 93.6713006166146 & 1.55390732852251 \tabularnewline
0.5 & 94.0039695060517 & 1.47621160928763 \tabularnewline
0.51 & 94.3200164953497 & 1.39446597148961 \tabularnewline
0.52 & 94.6190260264863 & 1.31481117457596 \tabularnewline
0.53 & 94.9017977285799 & 1.24154613024417 \tabularnewline
0.54 & 95.1700254846494 & 1.17766298263183 \tabularnewline
0.55 & 95.4260904304088 & 1.12485554515487 \tabularnewline
0.56 & 95.672981831774 & 1.08553850553767 \tabularnewline
0.57 & 95.9142815985073 & 1.06287614905696 \tabularnewline
0.58 & 96.1541005629455 & 1.05999167851031 \tabularnewline
0.59 & 96.3968566889006 & 1.07870031961515 \tabularnewline
0.6 & 96.6468371072062 & 1.11733686338174 \tabularnewline
0.61 & 96.9075689180813 & 1.17103172132216 \tabularnewline
0.62 & 97.1811085980615 & 1.23114538854244 \tabularnewline
0.63 & 97.4674167810836 & 1.28598298680437 \tabularnewline
0.64 & 97.7639939259783 & 1.32377068036182 \tabularnewline
0.65 & 98.0659082466725 & 1.33402449007271 \tabularnewline
0.66 & 98.3662616814197 & 1.30947187056011 \tabularnewline
0.67 & 98.6570359691162 & 1.24772895495342 \tabularnewline
0.68 & 98.9301673726146 & 1.15107836746087 \tabularnewline
0.69 & 99.1786407536822 & 1.02677626011447 \tabularnewline
0.7 & 99.397387624111 & 0.885063181831148 \tabularnewline
0.71 & 99.5838206788161 & 0.737549308921352 \tabularnewline
0.72 & 99.7379263678686 & 0.59545264578638 \tabularnewline
0.73 & 99.8619423981407 & 0.467626937684366 \tabularnewline
0.74 & 99.9597386629226 & 0.3599745855978 \tabularnewline
0.75 & 100.036072375053 & 0.274549809866329 \tabularnewline
0.76 & 100.095888771394 & 0.210938190201319 \tabularnewline
0.77 & 100.143792913125 & 0.166561395954432 \tabularnewline
0.78 & 100.183746237288 & 0.13811822052919 \tabularnewline
0.79 & 100.21897081206 & 0.121659248072615 \tabularnewline
0.8 & 100.25199816265 & 0.114182398829639 \tabularnewline
0.81 & 100.284789564785 & 0.113276424635564 \tabularnewline
0.82 & 100.31887694615 & 0.117046460982881 \tabularnewline
0.83 & 100.355509826217 & 0.123945671875788 \tabularnewline
0.84 & 100.395816750842 & 0.13361252320215 \tabularnewline
0.85 & 100.440973744872 & 0.145846059355684 \tabularnewline
0.86 & 100.492312019879 & 0.161337682237314 \tabularnewline
0.87 & 100.551228793108 & 0.180290910840399 \tabularnewline
0.88 & 100.618769487034 & 0.201380794390944 \tabularnewline
0.89 & 100.694907783853 & 0.220325380738677 \tabularnewline
0.9 & 100.777848888847 & 0.230791638949068 \tabularnewline
0.91 & 100.863936520741 & 0.227160437845206 \tabularnewline
0.92 & 100.948662157859 & 0.208333830704998 \tabularnewline
0.93 & 101.028710194462 & 0.179772174687163 \tabularnewline
0.94 & 101.104195634062 & 0.152627040018947 \tabularnewline
0.95 & 101.179832327279 & 0.138692748333871 \tabularnewline
0.96 & 101.263972382105 & 0.14258926211703 \tabularnewline
0.97 & 101.364993176144 & 0.155832898028952 \tabularnewline
0.98 & 101.485034653856 & 0.157744418148692 \tabularnewline
0.99 & 101.609250267868 & 0.135212564167762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]77.7164337604763[/C][C]0.56614909023565[/C][/ROW]
[ROW][C]0.02[/C][C]78.1555984907893[/C][C]0.39404452016886[/C][/ROW]
[ROW][C]0.03[/C][C]78.4948149097844[/C][C]0.416244802811249[/C][/ROW]
[ROW][C]0.04[/C][C]78.8106789196645[/C][C]0.625698732035471[/C][/ROW]
[ROW][C]0.05[/C][C]79.207463261762[/C][C]1.02171965891322[/C][/ROW]
[ROW][C]0.06[/C][C]79.7582963999081[/C][C]1.53985108185473[/C][/ROW]
[ROW][C]0.07[/C][C]80.4923850558951[/C][C]2.06772683916704[/C][/ROW]
[ROW][C]0.08[/C][C]81.3908484827381[/C][C]2.49248470195629[/C][/ROW]
[ROW][C]0.09[/C][C]82.3973692786485[/C][C]2.74082506602239[/C][/ROW]
[ROW][C]0.1[/C][C]83.4388704986763[/C][C]2.79195930150044[/C][/ROW]
[ROW][C]0.11[/C][C]84.4457459861464[/C][C]2.6691555807984[/C][/ROW]
[ROW][C]0.12[/C][C]85.3650476169881[/C][C]2.42038783326895[/C][/ROW]
[ROW][C]0.13[/C][C]86.1654564601837[/C][C]2.10153659739225[/C][/ROW]
[ROW][C]0.14[/C][C]86.8359913662729[/C][C]1.76320443793629[/C][/ROW]
[ROW][C]0.15[/C][C]87.3812021622636[/C][C]1.44324088579146[/C][/ROW]
[ROW][C]0.16[/C][C]87.8152258672477[/C][C]1.16317638440745[/C][/ROW]
[ROW][C]0.17[/C][C]88.1563792548298[/C][C]0.931363664237754[/C][/ROW]
[ROW][C]0.18[/C][C]88.4232090690416[/C][C]0.746031579008381[/C][/ROW]
[ROW][C]0.19[/C][C]88.6322308076918[/C][C]0.600425547062696[/C][/ROW]
[ROW][C]0.2[/C][C]88.7970801404889[/C][C]0.48779977166596[/C][/ROW]
[ROW][C]0.21[/C][C]88.9285652587664[/C][C]0.401134621238543[/C][/ROW]
[ROW][C]0.22[/C][C]89.035123536037[/C][C]0.335949761581546[/C][/ROW]
[ROW][C]0.23[/C][C]89.1233437691903[/C][C]0.28815929484993[/C][/ROW]
[ROW][C]0.24[/C][C]89.1983960679701[/C][C]0.25499655230524[/C][/ROW]
[ROW][C]0.25[/C][C]89.264341226254[/C][C]0.2336582896865[/C][/ROW]
[ROW][C]0.26[/C][C]89.3243528713158[/C][C]0.221747941521502[/C][/ROW]
[ROW][C]0.27[/C][C]89.3808970570599[/C][C]0.217305648032901[/C][/ROW]
[ROW][C]0.28[/C][C]89.4359022406141[/C][C]0.218788847069519[/C][/ROW]
[ROW][C]0.29[/C][C]89.4909370986318[/C][C]0.225604288633441[/C][/ROW]
[ROW][C]0.3[/C][C]89.547402131359[/C][C]0.237335398370997[/C][/ROW]
[ROW][C]0.31[/C][C]89.6067331403834[/C][C]0.255157034162653[/C][/ROW]
[ROW][C]0.32[/C][C]89.6706073656149[/C][C]0.281182844360666[/C][/ROW]
[ROW][C]0.33[/C][C]89.7411342321633[/C][C]0.317817448266551[/C][/ROW]
[ROW][C]0.34[/C][C]89.8210026692628[/C][C]0.368248988780023[/C][/ROW]
[ROW][C]0.35[/C][C]89.9135485775541[/C][C]0.436034170017121[/C][/ROW]
[ROW][C]0.36[/C][C]90.0227034463465[/C][C]0.523837123159348[/C][/ROW]
[ROW][C]0.37[/C][C]90.1527926385771[/C][C]0.63279125150951[/C][/ROW]
[ROW][C]0.38[/C][C]90.3081721195666[/C][C]0.761737703430301[/C][/ROW]
[ROW][C]0.39[/C][C]90.4927247028032[/C][C]0.907219655334767[/C][/ROW]
[ROW][C]0.4[/C][C]90.7092759971173[/C][C]1.06265657629275[/C][/ROW]
[ROW][C]0.41[/C][C]90.9590265242857[/C][C]1.21921024132873[/C][/ROW]
[ROW][C]0.42[/C][C]91.2411177500236[/C][C]1.36614888824823[/C][/ROW]
[ROW][C]0.43[/C][C]91.5524448973008[/C][C]1.49305251308092[/C][/ROW]
[ROW][C]0.44[/C][C]91.887792803287[/C][C]1.59031660376944[/C][/ROW]
[ROW][C]0.45[/C][C]92.2403065628328[/C][C]1.65176388418232[/C][/ROW]
[ROW][C]0.46[/C][C]92.6022307719644[/C][C]1.67492702198696[/C][/ROW]
[ROW][C]0.47[/C][C]92.9657822075268[/C][C]1.6620871607019[/C][/ROW]
[ROW][C]0.48[/C][C]93.3239840581314[/C][C]1.6189043076422[/C][/ROW]
[ROW][C]0.49[/C][C]93.6713006166146[/C][C]1.55390732852251[/C][/ROW]
[ROW][C]0.5[/C][C]94.0039695060517[/C][C]1.47621160928763[/C][/ROW]
[ROW][C]0.51[/C][C]94.3200164953497[/C][C]1.39446597148961[/C][/ROW]
[ROW][C]0.52[/C][C]94.6190260264863[/C][C]1.31481117457596[/C][/ROW]
[ROW][C]0.53[/C][C]94.9017977285799[/C][C]1.24154613024417[/C][/ROW]
[ROW][C]0.54[/C][C]95.1700254846494[/C][C]1.17766298263183[/C][/ROW]
[ROW][C]0.55[/C][C]95.4260904304088[/C][C]1.12485554515487[/C][/ROW]
[ROW][C]0.56[/C][C]95.672981831774[/C][C]1.08553850553767[/C][/ROW]
[ROW][C]0.57[/C][C]95.9142815985073[/C][C]1.06287614905696[/C][/ROW]
[ROW][C]0.58[/C][C]96.1541005629455[/C][C]1.05999167851031[/C][/ROW]
[ROW][C]0.59[/C][C]96.3968566889006[/C][C]1.07870031961515[/C][/ROW]
[ROW][C]0.6[/C][C]96.6468371072062[/C][C]1.11733686338174[/C][/ROW]
[ROW][C]0.61[/C][C]96.9075689180813[/C][C]1.17103172132216[/C][/ROW]
[ROW][C]0.62[/C][C]97.1811085980615[/C][C]1.23114538854244[/C][/ROW]
[ROW][C]0.63[/C][C]97.4674167810836[/C][C]1.28598298680437[/C][/ROW]
[ROW][C]0.64[/C][C]97.7639939259783[/C][C]1.32377068036182[/C][/ROW]
[ROW][C]0.65[/C][C]98.0659082466725[/C][C]1.33402449007271[/C][/ROW]
[ROW][C]0.66[/C][C]98.3662616814197[/C][C]1.30947187056011[/C][/ROW]
[ROW][C]0.67[/C][C]98.6570359691162[/C][C]1.24772895495342[/C][/ROW]
[ROW][C]0.68[/C][C]98.9301673726146[/C][C]1.15107836746087[/C][/ROW]
[ROW][C]0.69[/C][C]99.1786407536822[/C][C]1.02677626011447[/C][/ROW]
[ROW][C]0.7[/C][C]99.397387624111[/C][C]0.885063181831148[/C][/ROW]
[ROW][C]0.71[/C][C]99.5838206788161[/C][C]0.737549308921352[/C][/ROW]
[ROW][C]0.72[/C][C]99.7379263678686[/C][C]0.59545264578638[/C][/ROW]
[ROW][C]0.73[/C][C]99.8619423981407[/C][C]0.467626937684366[/C][/ROW]
[ROW][C]0.74[/C][C]99.9597386629226[/C][C]0.3599745855978[/C][/ROW]
[ROW][C]0.75[/C][C]100.036072375053[/C][C]0.274549809866329[/C][/ROW]
[ROW][C]0.76[/C][C]100.095888771394[/C][C]0.210938190201319[/C][/ROW]
[ROW][C]0.77[/C][C]100.143792913125[/C][C]0.166561395954432[/C][/ROW]
[ROW][C]0.78[/C][C]100.183746237288[/C][C]0.13811822052919[/C][/ROW]
[ROW][C]0.79[/C][C]100.21897081206[/C][C]0.121659248072615[/C][/ROW]
[ROW][C]0.8[/C][C]100.25199816265[/C][C]0.114182398829639[/C][/ROW]
[ROW][C]0.81[/C][C]100.284789564785[/C][C]0.113276424635564[/C][/ROW]
[ROW][C]0.82[/C][C]100.31887694615[/C][C]0.117046460982881[/C][/ROW]
[ROW][C]0.83[/C][C]100.355509826217[/C][C]0.123945671875788[/C][/ROW]
[ROW][C]0.84[/C][C]100.395816750842[/C][C]0.13361252320215[/C][/ROW]
[ROW][C]0.85[/C][C]100.440973744872[/C][C]0.145846059355684[/C][/ROW]
[ROW][C]0.86[/C][C]100.492312019879[/C][C]0.161337682237314[/C][/ROW]
[ROW][C]0.87[/C][C]100.551228793108[/C][C]0.180290910840399[/C][/ROW]
[ROW][C]0.88[/C][C]100.618769487034[/C][C]0.201380794390944[/C][/ROW]
[ROW][C]0.89[/C][C]100.694907783853[/C][C]0.220325380738677[/C][/ROW]
[ROW][C]0.9[/C][C]100.777848888847[/C][C]0.230791638949068[/C][/ROW]
[ROW][C]0.91[/C][C]100.863936520741[/C][C]0.227160437845206[/C][/ROW]
[ROW][C]0.92[/C][C]100.948662157859[/C][C]0.208333830704998[/C][/ROW]
[ROW][C]0.93[/C][C]101.028710194462[/C][C]0.179772174687163[/C][/ROW]
[ROW][C]0.94[/C][C]101.104195634062[/C][C]0.152627040018947[/C][/ROW]
[ROW][C]0.95[/C][C]101.179832327279[/C][C]0.138692748333871[/C][/ROW]
[ROW][C]0.96[/C][C]101.263972382105[/C][C]0.14258926211703[/C][/ROW]
[ROW][C]0.97[/C][C]101.364993176144[/C][C]0.155832898028952[/C][/ROW]
[ROW][C]0.98[/C][C]101.485034653856[/C][C]0.157744418148692[/C][/ROW]
[ROW][C]0.99[/C][C]101.609250267868[/C][C]0.135212564167762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0177.71643376047630.56614909023565
0.0278.15559849078930.39404452016886
0.0378.49481490978440.416244802811249
0.0478.81067891966450.625698732035471
0.0579.2074632617621.02171965891322
0.0679.75829639990811.53985108185473
0.0780.49238505589512.06772683916704
0.0881.39084848273812.49248470195629
0.0982.39736927864852.74082506602239
0.183.43887049867632.79195930150044
0.1184.44574598614642.6691555807984
0.1285.36504761698812.42038783326895
0.1386.16545646018372.10153659739225
0.1486.83599136627291.76320443793629
0.1587.38120216226361.44324088579146
0.1687.81522586724771.16317638440745
0.1788.15637925482980.931363664237754
0.1888.42320906904160.746031579008381
0.1988.63223080769180.600425547062696
0.288.79708014048890.48779977166596
0.2188.92856525876640.401134621238543
0.2289.0351235360370.335949761581546
0.2389.12334376919030.28815929484993
0.2489.19839606797010.25499655230524
0.2589.2643412262540.2336582896865
0.2689.32435287131580.221747941521502
0.2789.38089705705990.217305648032901
0.2889.43590224061410.218788847069519
0.2989.49093709863180.225604288633441
0.389.5474021313590.237335398370997
0.3189.60673314038340.255157034162653
0.3289.67060736561490.281182844360666
0.3389.74113423216330.317817448266551
0.3489.82100266926280.368248988780023
0.3589.91354857755410.436034170017121
0.3690.02270344634650.523837123159348
0.3790.15279263857710.63279125150951
0.3890.30817211956660.761737703430301
0.3990.49272470280320.907219655334767
0.490.70927599711731.06265657629275
0.4190.95902652428571.21921024132873
0.4291.24111775002361.36614888824823
0.4391.55244489730081.49305251308092
0.4491.8877928032871.59031660376944
0.4592.24030656283281.65176388418232
0.4692.60223077196441.67492702198696
0.4792.96578220752681.6620871607019
0.4893.32398405813141.6189043076422
0.4993.67130061661461.55390732852251
0.594.00396950605171.47621160928763
0.5194.32001649534971.39446597148961
0.5294.61902602648631.31481117457596
0.5394.90179772857991.24154613024417
0.5495.17002548464941.17766298263183
0.5595.42609043040881.12485554515487
0.5695.6729818317741.08553850553767
0.5795.91428159850731.06287614905696
0.5896.15410056294551.05999167851031
0.5996.39685668890061.07870031961515
0.696.64683710720621.11733686338174
0.6196.90756891808131.17103172132216
0.6297.18110859806151.23114538854244
0.6397.46741678108361.28598298680437
0.6497.76399392597831.32377068036182
0.6598.06590824667251.33402449007271
0.6698.36626168141971.30947187056011
0.6798.65703596911621.24772895495342
0.6898.93016737261461.15107836746087
0.6999.17864075368221.02677626011447
0.799.3973876241110.885063181831148
0.7199.58382067881610.737549308921352
0.7299.73792636786860.59545264578638
0.7399.86194239814070.467626937684366
0.7499.95973866292260.3599745855978
0.75100.0360723750530.274549809866329
0.76100.0958887713940.210938190201319
0.77100.1437929131250.166561395954432
0.78100.1837462372880.13811822052919
0.79100.218970812060.121659248072615
0.8100.251998162650.114182398829639
0.81100.2847895647850.113276424635564
0.82100.318876946150.117046460982881
0.83100.3555098262170.123945671875788
0.84100.3958167508420.13361252320215
0.85100.4409737448720.145846059355684
0.86100.4923120198790.161337682237314
0.87100.5512287931080.180290910840399
0.88100.6187694870340.201380794390944
0.89100.6949077838530.220325380738677
0.9100.7778488888470.230791638949068
0.91100.8639365207410.227160437845206
0.92100.9486621578590.208333830704998
0.93101.0287101944620.179772174687163
0.94101.1041956340620.152627040018947
0.95101.1798323272790.138692748333871
0.96101.2639723821050.14258926211703
0.97101.3649931761440.155832898028952
0.98101.4850346538560.157744418148692
0.99101.6092502678680.135212564167762


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')