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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 computationMon, 03 Mar 2008 12:54:28 -0700
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/Mar/03/t120457410238djpznvh1lwgni.htm/, Retrieved Sun, 19 May 2024 02:00:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9959, Retrieved Sun, 19 May 2024 02:00:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199

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] [Percentielen - si...] [2008-03-03 19:54:28] [7f4b1d09016442cbb55a129b1af5b7b8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16.100
15.800
16.900
17.800
17.600
18.300
18.000
15.700
14.500
14.000
15.500
15.800
15.800
15.900
18.000
19.900
20.600
20.600
20.800
20.000
18.500
17.700
17.000
16.600
16.700
17.300
19.100
20.200
20.700
21.500
21.000
16.800
16.800
16.500
17.200
17.300
17.600
18.400
19.900
20.500
21.200
21.300
20.800
18.800
18.100
18.100
18.800
18.700
18.700
19.000
20.100
20.500
21.600
21.800
21.500
21.200
20.400
20.400
20.600
19.300
18.600
19.400
23.500
24.600
25.900
26.600
24.100
21.800
21.300
21.100
21.200
21.600

Tables (Output of Computation)





Summary of compuational 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 compuational 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=9959&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9959&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9959&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 compuational 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
0.0114.20911984265580.576189583266527
0.0214.5482524413920.653299666252646
0.0314.90975308535820.622230066250578
0.0415.22073482119460.503175881154491
0.0515.45652749442750.368693061348482
0.0615.62458631539110.270995620990674
0.0715.74584921032250.229166512029017
0.0815.84205290518680.235861754000887
0.0915.92965990766600.269425050353676
0.116.01840815899080.310480346345149
0.1116.11223787763460.34643140118486
0.1216.21106611840390.370396541856988
0.1316.31261656474300.38024118509941
0.1416.41394314499030.377696441716045
0.1516.51249182373560.36689560058601
0.1616.60666585894110.352955012933695
0.1716.69595490261810.340420718499732
0.1816.78075482955120.33232996507038
0.1916.86202968501700.329830496987027
0.216.94095054237210.332434407865878
0.2117.01860331836960.338611052951630
0.2217.09580795712590.346543010887288
0.2317.17304995162460.354616115873013
0.2417.25049932833170.361651532968335
0.2517.32808233798040.366932532038875
0.2617.40557317838920.370189445426536
0.2717.48268166069620.371512721086921
0.2817.55912298499080.371194591394034
0.2917.63466454728450.369656058090237
0.317.70915060128780.367369655758466
0.3117.78250868903460.364790080771985
0.3217.85474283878650.362275371196696
0.3317.92591856851530.360144274049381
0.3417.99614443328950.358508762300716
0.3518.06555449673520.357462866241406
0.3618.13429560411110.356997182848959
0.3718.20252242778970.357054327187816
0.3818.27040174259580.357710679909873
0.3918.33812529627940.359073719924792
0.418.40592828495150.361482847702653
0.4118.47410835925350.365400733317105
0.4218.54303886665210.371467606552746
0.4318.61317013591660.380213118725460
0.4418.68501419654690.392145020327797
0.4518.75911119814930.407382260297896
0.4618.83597941638160.42564210916232
0.4718.9160543516960.446284547873852
0.4818.99962525308010.46812252819965
0.4919.08677878377080.489750732526614
0.519.17735913644740.509581981889448
0.5119.27095172757360.525989811828428
0.5219.36689405986390.537615151845367
0.5319.46431313948240.543364626799538
0.5419.56218481412870.542598553813298
0.5519.65940735452500.535151271723138
0.5619.75488009577220.521374429080246
0.5719.84757818059260.501913159370569
0.5819.93661618944320.477844987807177
0.5920.02129614630930.450357136909555
0.620.10113831345640.420761700776645
0.6120.17589561692140.390347692822919
0.6220.24555397927630.360390611724951
0.6320.31032112318570.332029793433716
0.6420.3706057584320.306254253964579
0.6520.42698796491240.283978659655262
0.6620.48018064283330.265902727161862
0.6720.53098166422700.252414320649375
0.6820.58021715227020.243657054074263
0.6920.62867814317930.239306052303071
0.720.67705540975710.23862267114937
0.7120.72587980142180.24047680355841
0.7220.77547724125480.243544434714873
0.7320.82594765113660.246437261087358
0.7420.87717490047070.247910876238531
0.7520.92887023669630.247105227614167
0.7620.98064516069010.243579724901323
0.7721.03210286340770.237485274851498
0.7821.08293244718920.22947386296456
0.7921.13298988207140.220605145316271
0.821.18235624765240.212142145415637
0.8121.23137812731200.205272035444336
0.8221.28071542223170.201097490743739
0.8321.33144320787870.200589885031182
0.8421.38526701893420.205282088928700
0.8521.44490075238720.218078927959255
0.8621.51460577260560.244379630271257
0.8721.60078574389670.292248151409634
0.8821.71238312309240.370584631383221
0.8921.86068753758990.485347058134951
0.922.05816714920290.63514512613227
0.9122.31622810904320.807678048028376
0.9222.64245000155660.979015286378307
0.9323.03857198432661.11903223132425
0.9423.50060771503591.20374974154893
0.9524.02111732154791.22879153735952
0.9624.59080861435421.20829835190941
0.9725.19383888382061.14604259794894
0.9825.79172810888121.01405492466134
0.9926.30101910022270.820743069347742

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.2091198426558 & 0.576189583266527 \tabularnewline
0.02 & 14.548252441392 & 0.653299666252646 \tabularnewline
0.03 & 14.9097530853582 & 0.622230066250578 \tabularnewline
0.04 & 15.2207348211946 & 0.503175881154491 \tabularnewline
0.05 & 15.4565274944275 & 0.368693061348482 \tabularnewline
0.06 & 15.6245863153911 & 0.270995620990674 \tabularnewline
0.07 & 15.7458492103225 & 0.229166512029017 \tabularnewline
0.08 & 15.8420529051868 & 0.235861754000887 \tabularnewline
0.09 & 15.9296599076660 & 0.269425050353676 \tabularnewline
0.1 & 16.0184081589908 & 0.310480346345149 \tabularnewline
0.11 & 16.1122378776346 & 0.34643140118486 \tabularnewline
0.12 & 16.2110661184039 & 0.370396541856988 \tabularnewline
0.13 & 16.3126165647430 & 0.38024118509941 \tabularnewline
0.14 & 16.4139431449903 & 0.377696441716045 \tabularnewline
0.15 & 16.5124918237356 & 0.36689560058601 \tabularnewline
0.16 & 16.6066658589411 & 0.352955012933695 \tabularnewline
0.17 & 16.6959549026181 & 0.340420718499732 \tabularnewline
0.18 & 16.7807548295512 & 0.33232996507038 \tabularnewline
0.19 & 16.8620296850170 & 0.329830496987027 \tabularnewline
0.2 & 16.9409505423721 & 0.332434407865878 \tabularnewline
0.21 & 17.0186033183696 & 0.338611052951630 \tabularnewline
0.22 & 17.0958079571259 & 0.346543010887288 \tabularnewline
0.23 & 17.1730499516246 & 0.354616115873013 \tabularnewline
0.24 & 17.2504993283317 & 0.361651532968335 \tabularnewline
0.25 & 17.3280823379804 & 0.366932532038875 \tabularnewline
0.26 & 17.4055731783892 & 0.370189445426536 \tabularnewline
0.27 & 17.4826816606962 & 0.371512721086921 \tabularnewline
0.28 & 17.5591229849908 & 0.371194591394034 \tabularnewline
0.29 & 17.6346645472845 & 0.369656058090237 \tabularnewline
0.3 & 17.7091506012878 & 0.367369655758466 \tabularnewline
0.31 & 17.7825086890346 & 0.364790080771985 \tabularnewline
0.32 & 17.8547428387865 & 0.362275371196696 \tabularnewline
0.33 & 17.9259185685153 & 0.360144274049381 \tabularnewline
0.34 & 17.9961444332895 & 0.358508762300716 \tabularnewline
0.35 & 18.0655544967352 & 0.357462866241406 \tabularnewline
0.36 & 18.1342956041111 & 0.356997182848959 \tabularnewline
0.37 & 18.2025224277897 & 0.357054327187816 \tabularnewline
0.38 & 18.2704017425958 & 0.357710679909873 \tabularnewline
0.39 & 18.3381252962794 & 0.359073719924792 \tabularnewline
0.4 & 18.4059282849515 & 0.361482847702653 \tabularnewline
0.41 & 18.4741083592535 & 0.365400733317105 \tabularnewline
0.42 & 18.5430388666521 & 0.371467606552746 \tabularnewline
0.43 & 18.6131701359166 & 0.380213118725460 \tabularnewline
0.44 & 18.6850141965469 & 0.392145020327797 \tabularnewline
0.45 & 18.7591111981493 & 0.407382260297896 \tabularnewline
0.46 & 18.8359794163816 & 0.42564210916232 \tabularnewline
0.47 & 18.916054351696 & 0.446284547873852 \tabularnewline
0.48 & 18.9996252530801 & 0.46812252819965 \tabularnewline
0.49 & 19.0867787837708 & 0.489750732526614 \tabularnewline
0.5 & 19.1773591364474 & 0.509581981889448 \tabularnewline
0.51 & 19.2709517275736 & 0.525989811828428 \tabularnewline
0.52 & 19.3668940598639 & 0.537615151845367 \tabularnewline
0.53 & 19.4643131394824 & 0.543364626799538 \tabularnewline
0.54 & 19.5621848141287 & 0.542598553813298 \tabularnewline
0.55 & 19.6594073545250 & 0.535151271723138 \tabularnewline
0.56 & 19.7548800957722 & 0.521374429080246 \tabularnewline
0.57 & 19.8475781805926 & 0.501913159370569 \tabularnewline
0.58 & 19.9366161894432 & 0.477844987807177 \tabularnewline
0.59 & 20.0212961463093 & 0.450357136909555 \tabularnewline
0.6 & 20.1011383134564 & 0.420761700776645 \tabularnewline
0.61 & 20.1758956169214 & 0.390347692822919 \tabularnewline
0.62 & 20.2455539792763 & 0.360390611724951 \tabularnewline
0.63 & 20.3103211231857 & 0.332029793433716 \tabularnewline
0.64 & 20.370605758432 & 0.306254253964579 \tabularnewline
0.65 & 20.4269879649124 & 0.283978659655262 \tabularnewline
0.66 & 20.4801806428333 & 0.265902727161862 \tabularnewline
0.67 & 20.5309816642270 & 0.252414320649375 \tabularnewline
0.68 & 20.5802171522702 & 0.243657054074263 \tabularnewline
0.69 & 20.6286781431793 & 0.239306052303071 \tabularnewline
0.7 & 20.6770554097571 & 0.23862267114937 \tabularnewline
0.71 & 20.7258798014218 & 0.24047680355841 \tabularnewline
0.72 & 20.7754772412548 & 0.243544434714873 \tabularnewline
0.73 & 20.8259476511366 & 0.246437261087358 \tabularnewline
0.74 & 20.8771749004707 & 0.247910876238531 \tabularnewline
0.75 & 20.9288702366963 & 0.247105227614167 \tabularnewline
0.76 & 20.9806451606901 & 0.243579724901323 \tabularnewline
0.77 & 21.0321028634077 & 0.237485274851498 \tabularnewline
0.78 & 21.0829324471892 & 0.22947386296456 \tabularnewline
0.79 & 21.1329898820714 & 0.220605145316271 \tabularnewline
0.8 & 21.1823562476524 & 0.212142145415637 \tabularnewline
0.81 & 21.2313781273120 & 0.205272035444336 \tabularnewline
0.82 & 21.2807154222317 & 0.201097490743739 \tabularnewline
0.83 & 21.3314432078787 & 0.200589885031182 \tabularnewline
0.84 & 21.3852670189342 & 0.205282088928700 \tabularnewline
0.85 & 21.4449007523872 & 0.218078927959255 \tabularnewline
0.86 & 21.5146057726056 & 0.244379630271257 \tabularnewline
0.87 & 21.6007857438967 & 0.292248151409634 \tabularnewline
0.88 & 21.7123831230924 & 0.370584631383221 \tabularnewline
0.89 & 21.8606875375899 & 0.485347058134951 \tabularnewline
0.9 & 22.0581671492029 & 0.63514512613227 \tabularnewline
0.91 & 22.3162281090432 & 0.807678048028376 \tabularnewline
0.92 & 22.6424500015566 & 0.979015286378307 \tabularnewline
0.93 & 23.0385719843266 & 1.11903223132425 \tabularnewline
0.94 & 23.5006077150359 & 1.20374974154893 \tabularnewline
0.95 & 24.0211173215479 & 1.22879153735952 \tabularnewline
0.96 & 24.5908086143542 & 1.20829835190941 \tabularnewline
0.97 & 25.1938388838206 & 1.14604259794894 \tabularnewline
0.98 & 25.7917281088812 & 1.01405492466134 \tabularnewline
0.99 & 26.3010191002227 & 0.820743069347742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9959&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]14.2091198426558[/C][C]0.576189583266527[/C][/ROW]
[ROW][C]0.02[/C][C]14.548252441392[/C][C]0.653299666252646[/C][/ROW]
[ROW][C]0.03[/C][C]14.9097530853582[/C][C]0.622230066250578[/C][/ROW]
[ROW][C]0.04[/C][C]15.2207348211946[/C][C]0.503175881154491[/C][/ROW]
[ROW][C]0.05[/C][C]15.4565274944275[/C][C]0.368693061348482[/C][/ROW]
[ROW][C]0.06[/C][C]15.6245863153911[/C][C]0.270995620990674[/C][/ROW]
[ROW][C]0.07[/C][C]15.7458492103225[/C][C]0.229166512029017[/C][/ROW]
[ROW][C]0.08[/C][C]15.8420529051868[/C][C]0.235861754000887[/C][/ROW]
[ROW][C]0.09[/C][C]15.9296599076660[/C][C]0.269425050353676[/C][/ROW]
[ROW][C]0.1[/C][C]16.0184081589908[/C][C]0.310480346345149[/C][/ROW]
[ROW][C]0.11[/C][C]16.1122378776346[/C][C]0.34643140118486[/C][/ROW]
[ROW][C]0.12[/C][C]16.2110661184039[/C][C]0.370396541856988[/C][/ROW]
[ROW][C]0.13[/C][C]16.3126165647430[/C][C]0.38024118509941[/C][/ROW]
[ROW][C]0.14[/C][C]16.4139431449903[/C][C]0.377696441716045[/C][/ROW]
[ROW][C]0.15[/C][C]16.5124918237356[/C][C]0.36689560058601[/C][/ROW]
[ROW][C]0.16[/C][C]16.6066658589411[/C][C]0.352955012933695[/C][/ROW]
[ROW][C]0.17[/C][C]16.6959549026181[/C][C]0.340420718499732[/C][/ROW]
[ROW][C]0.18[/C][C]16.7807548295512[/C][C]0.33232996507038[/C][/ROW]
[ROW][C]0.19[/C][C]16.8620296850170[/C][C]0.329830496987027[/C][/ROW]
[ROW][C]0.2[/C][C]16.9409505423721[/C][C]0.332434407865878[/C][/ROW]
[ROW][C]0.21[/C][C]17.0186033183696[/C][C]0.338611052951630[/C][/ROW]
[ROW][C]0.22[/C][C]17.0958079571259[/C][C]0.346543010887288[/C][/ROW]
[ROW][C]0.23[/C][C]17.1730499516246[/C][C]0.354616115873013[/C][/ROW]
[ROW][C]0.24[/C][C]17.2504993283317[/C][C]0.361651532968335[/C][/ROW]
[ROW][C]0.25[/C][C]17.3280823379804[/C][C]0.366932532038875[/C][/ROW]
[ROW][C]0.26[/C][C]17.4055731783892[/C][C]0.370189445426536[/C][/ROW]
[ROW][C]0.27[/C][C]17.4826816606962[/C][C]0.371512721086921[/C][/ROW]
[ROW][C]0.28[/C][C]17.5591229849908[/C][C]0.371194591394034[/C][/ROW]
[ROW][C]0.29[/C][C]17.6346645472845[/C][C]0.369656058090237[/C][/ROW]
[ROW][C]0.3[/C][C]17.7091506012878[/C][C]0.367369655758466[/C][/ROW]
[ROW][C]0.31[/C][C]17.7825086890346[/C][C]0.364790080771985[/C][/ROW]
[ROW][C]0.32[/C][C]17.8547428387865[/C][C]0.362275371196696[/C][/ROW]
[ROW][C]0.33[/C][C]17.9259185685153[/C][C]0.360144274049381[/C][/ROW]
[ROW][C]0.34[/C][C]17.9961444332895[/C][C]0.358508762300716[/C][/ROW]
[ROW][C]0.35[/C][C]18.0655544967352[/C][C]0.357462866241406[/C][/ROW]
[ROW][C]0.36[/C][C]18.1342956041111[/C][C]0.356997182848959[/C][/ROW]
[ROW][C]0.37[/C][C]18.2025224277897[/C][C]0.357054327187816[/C][/ROW]
[ROW][C]0.38[/C][C]18.2704017425958[/C][C]0.357710679909873[/C][/ROW]
[ROW][C]0.39[/C][C]18.3381252962794[/C][C]0.359073719924792[/C][/ROW]
[ROW][C]0.4[/C][C]18.4059282849515[/C][C]0.361482847702653[/C][/ROW]
[ROW][C]0.41[/C][C]18.4741083592535[/C][C]0.365400733317105[/C][/ROW]
[ROW][C]0.42[/C][C]18.5430388666521[/C][C]0.371467606552746[/C][/ROW]
[ROW][C]0.43[/C][C]18.6131701359166[/C][C]0.380213118725460[/C][/ROW]
[ROW][C]0.44[/C][C]18.6850141965469[/C][C]0.392145020327797[/C][/ROW]
[ROW][C]0.45[/C][C]18.7591111981493[/C][C]0.407382260297896[/C][/ROW]
[ROW][C]0.46[/C][C]18.8359794163816[/C][C]0.42564210916232[/C][/ROW]
[ROW][C]0.47[/C][C]18.916054351696[/C][C]0.446284547873852[/C][/ROW]
[ROW][C]0.48[/C][C]18.9996252530801[/C][C]0.46812252819965[/C][/ROW]
[ROW][C]0.49[/C][C]19.0867787837708[/C][C]0.489750732526614[/C][/ROW]
[ROW][C]0.5[/C][C]19.1773591364474[/C][C]0.509581981889448[/C][/ROW]
[ROW][C]0.51[/C][C]19.2709517275736[/C][C]0.525989811828428[/C][/ROW]
[ROW][C]0.52[/C][C]19.3668940598639[/C][C]0.537615151845367[/C][/ROW]
[ROW][C]0.53[/C][C]19.4643131394824[/C][C]0.543364626799538[/C][/ROW]
[ROW][C]0.54[/C][C]19.5621848141287[/C][C]0.542598553813298[/C][/ROW]
[ROW][C]0.55[/C][C]19.6594073545250[/C][C]0.535151271723138[/C][/ROW]
[ROW][C]0.56[/C][C]19.7548800957722[/C][C]0.521374429080246[/C][/ROW]
[ROW][C]0.57[/C][C]19.8475781805926[/C][C]0.501913159370569[/C][/ROW]
[ROW][C]0.58[/C][C]19.9366161894432[/C][C]0.477844987807177[/C][/ROW]
[ROW][C]0.59[/C][C]20.0212961463093[/C][C]0.450357136909555[/C][/ROW]
[ROW][C]0.6[/C][C]20.1011383134564[/C][C]0.420761700776645[/C][/ROW]
[ROW][C]0.61[/C][C]20.1758956169214[/C][C]0.390347692822919[/C][/ROW]
[ROW][C]0.62[/C][C]20.2455539792763[/C][C]0.360390611724951[/C][/ROW]
[ROW][C]0.63[/C][C]20.3103211231857[/C][C]0.332029793433716[/C][/ROW]
[ROW][C]0.64[/C][C]20.370605758432[/C][C]0.306254253964579[/C][/ROW]
[ROW][C]0.65[/C][C]20.4269879649124[/C][C]0.283978659655262[/C][/ROW]
[ROW][C]0.66[/C][C]20.4801806428333[/C][C]0.265902727161862[/C][/ROW]
[ROW][C]0.67[/C][C]20.5309816642270[/C][C]0.252414320649375[/C][/ROW]
[ROW][C]0.68[/C][C]20.5802171522702[/C][C]0.243657054074263[/C][/ROW]
[ROW][C]0.69[/C][C]20.6286781431793[/C][C]0.239306052303071[/C][/ROW]
[ROW][C]0.7[/C][C]20.6770554097571[/C][C]0.23862267114937[/C][/ROW]
[ROW][C]0.71[/C][C]20.7258798014218[/C][C]0.24047680355841[/C][/ROW]
[ROW][C]0.72[/C][C]20.7754772412548[/C][C]0.243544434714873[/C][/ROW]
[ROW][C]0.73[/C][C]20.8259476511366[/C][C]0.246437261087358[/C][/ROW]
[ROW][C]0.74[/C][C]20.8771749004707[/C][C]0.247910876238531[/C][/ROW]
[ROW][C]0.75[/C][C]20.9288702366963[/C][C]0.247105227614167[/C][/ROW]
[ROW][C]0.76[/C][C]20.9806451606901[/C][C]0.243579724901323[/C][/ROW]
[ROW][C]0.77[/C][C]21.0321028634077[/C][C]0.237485274851498[/C][/ROW]
[ROW][C]0.78[/C][C]21.0829324471892[/C][C]0.22947386296456[/C][/ROW]
[ROW][C]0.79[/C][C]21.1329898820714[/C][C]0.220605145316271[/C][/ROW]
[ROW][C]0.8[/C][C]21.1823562476524[/C][C]0.212142145415637[/C][/ROW]
[ROW][C]0.81[/C][C]21.2313781273120[/C][C]0.205272035444336[/C][/ROW]
[ROW][C]0.82[/C][C]21.2807154222317[/C][C]0.201097490743739[/C][/ROW]
[ROW][C]0.83[/C][C]21.3314432078787[/C][C]0.200589885031182[/C][/ROW]
[ROW][C]0.84[/C][C]21.3852670189342[/C][C]0.205282088928700[/C][/ROW]
[ROW][C]0.85[/C][C]21.4449007523872[/C][C]0.218078927959255[/C][/ROW]
[ROW][C]0.86[/C][C]21.5146057726056[/C][C]0.244379630271257[/C][/ROW]
[ROW][C]0.87[/C][C]21.6007857438967[/C][C]0.292248151409634[/C][/ROW]
[ROW][C]0.88[/C][C]21.7123831230924[/C][C]0.370584631383221[/C][/ROW]
[ROW][C]0.89[/C][C]21.8606875375899[/C][C]0.485347058134951[/C][/ROW]
[ROW][C]0.9[/C][C]22.0581671492029[/C][C]0.63514512613227[/C][/ROW]
[ROW][C]0.91[/C][C]22.3162281090432[/C][C]0.807678048028376[/C][/ROW]
[ROW][C]0.92[/C][C]22.6424500015566[/C][C]0.979015286378307[/C][/ROW]
[ROW][C]0.93[/C][C]23.0385719843266[/C][C]1.11903223132425[/C][/ROW]
[ROW][C]0.94[/C][C]23.5006077150359[/C][C]1.20374974154893[/C][/ROW]
[ROW][C]0.95[/C][C]24.0211173215479[/C][C]1.22879153735952[/C][/ROW]
[ROW][C]0.96[/C][C]24.5908086143542[/C][C]1.20829835190941[/C][/ROW]
[ROW][C]0.97[/C][C]25.1938388838206[/C][C]1.14604259794894[/C][/ROW]
[ROW][C]0.98[/C][C]25.7917281088812[/C][C]1.01405492466134[/C][/ROW]
[ROW][C]0.99[/C][C]26.3010191002227[/C][C]0.820743069347742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9959&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9959&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
0.0114.20911984265580.576189583266527
0.0214.5482524413920.653299666252646
0.0314.90975308535820.622230066250578
0.0415.22073482119460.503175881154491
0.0515.45652749442750.368693061348482
0.0615.62458631539110.270995620990674
0.0715.74584921032250.229166512029017
0.0815.84205290518680.235861754000887
0.0915.92965990766600.269425050353676
0.116.01840815899080.310480346345149
0.1116.11223787763460.34643140118486
0.1216.21106611840390.370396541856988
0.1316.31261656474300.38024118509941
0.1416.41394314499030.377696441716045
0.1516.51249182373560.36689560058601
0.1616.60666585894110.352955012933695
0.1716.69595490261810.340420718499732
0.1816.78075482955120.33232996507038
0.1916.86202968501700.329830496987027
0.216.94095054237210.332434407865878
0.2117.01860331836960.338611052951630
0.2217.09580795712590.346543010887288
0.2317.17304995162460.354616115873013
0.2417.25049932833170.361651532968335
0.2517.32808233798040.366932532038875
0.2617.40557317838920.370189445426536
0.2717.48268166069620.371512721086921
0.2817.55912298499080.371194591394034
0.2917.63466454728450.369656058090237
0.317.70915060128780.367369655758466
0.3117.78250868903460.364790080771985
0.3217.85474283878650.362275371196696
0.3317.92591856851530.360144274049381
0.3417.99614443328950.358508762300716
0.3518.06555449673520.357462866241406
0.3618.13429560411110.356997182848959
0.3718.20252242778970.357054327187816
0.3818.27040174259580.357710679909873
0.3918.33812529627940.359073719924792
0.418.40592828495150.361482847702653
0.4118.47410835925350.365400733317105
0.4218.54303886665210.371467606552746
0.4318.61317013591660.380213118725460
0.4418.68501419654690.392145020327797
0.4518.75911119814930.407382260297896
0.4618.83597941638160.42564210916232
0.4718.9160543516960.446284547873852
0.4818.99962525308010.46812252819965
0.4919.08677878377080.489750732526614
0.519.17735913644740.509581981889448
0.5119.27095172757360.525989811828428
0.5219.36689405986390.537615151845367
0.5319.46431313948240.543364626799538
0.5419.56218481412870.542598553813298
0.5519.65940735452500.535151271723138
0.5619.75488009577220.521374429080246
0.5719.84757818059260.501913159370569
0.5819.93661618944320.477844987807177
0.5920.02129614630930.450357136909555
0.620.10113831345640.420761700776645
0.6120.17589561692140.390347692822919
0.6220.24555397927630.360390611724951
0.6320.31032112318570.332029793433716
0.6420.3706057584320.306254253964579
0.6520.42698796491240.283978659655262
0.6620.48018064283330.265902727161862
0.6720.53098166422700.252414320649375
0.6820.58021715227020.243657054074263
0.6920.62867814317930.239306052303071
0.720.67705540975710.23862267114937
0.7120.72587980142180.24047680355841
0.7220.77547724125480.243544434714873
0.7320.82594765113660.246437261087358
0.7420.87717490047070.247910876238531
0.7520.92887023669630.247105227614167
0.7620.98064516069010.243579724901323
0.7721.03210286340770.237485274851498
0.7821.08293244718920.22947386296456
0.7921.13298988207140.220605145316271
0.821.18235624765240.212142145415637
0.8121.23137812731200.205272035444336
0.8221.28071542223170.201097490743739
0.8321.33144320787870.200589885031182
0.8421.38526701893420.205282088928700
0.8521.44490075238720.218078927959255
0.8621.51460577260560.244379630271257
0.8721.60078574389670.292248151409634
0.8821.71238312309240.370584631383221
0.8921.86068753758990.485347058134951
0.922.05816714920290.63514512613227
0.9122.31622810904320.807678048028376
0.9222.64245000155660.979015286378307
0.9323.03857198432661.11903223132425
0.9423.50060771503591.20374974154893
0.9524.02111732154791.22879153735952
0.9624.59080861435421.20829835190941
0.9725.19383888382061.14604259794894
0.9825.79172810888121.01405492466134
0.9926.30101910022270.820743069347742


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')