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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Dec 2014 20:23:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/08/t1418070226fpf3ut0bo3iah8f.htm/, Retrieved Sun, 19 May 2024 08:48:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264212, Retrieved Sun, 19 May 2024 08:48:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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] [paper harell-davi...] [2014-12-08 20:23:21] [0026b73e132800f62819443873ccc691] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9
7.4
12.2
12.8
7.4
6.7
12.6
14.8
13.3
11.1
8.2
11.4
6.4
10.6
12
6.3
11.3
11.9
9.3
9.6
10
6.4
13.8
10.8
13.8
11.7
10.9
16.1
13.4
9.9
11.5
8.3
11.7
6.1
9
9.7
10.8
10.3
10.4
12.7
9.3
11.8
5.9
11.4
13
10.8
12.3
11.3
11.8
7.9
12.7
12.3
11.6
6.7
10.9
12.1
13.3
10.1
5.7
14.3
8
13.3
9.3
12.5
7.6
15.9
9.2
9.1
11.1
13
14.5
12.2
12.3
11.4
8.8
14.6
7.3
12.6
13
12.6
13.2
9.9
7.7
10.5
13.4
10.9
4.3
10.3
11.8
11.2
11.4
8.6
13.2
12.6
5.6
9.9
8.8
7.7
9
7.3
11.4
13.6
7.9
10.7
10.3
8.3
9.6
14.2
8.5
13.5
4.9
6.4
9.6
11.6
11.1
4.35
12.7
18.1
17.85
16.6
12.6
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
18.9
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
11.6
17.75
15.25
17.65
15.6
16.35
17.65
13.6
11.7
14.35
14.75
18.25
9.9
16
18.25
16.85
14.6
13.85
18.95
15.6
14.85
11.75
18.45
15.9
17.1
16.1
19.9
10.95
18.45
15.1
15
11.35
15.95
18.1
14.6
15.4
15.4
17.6
13.35
19.1
15.35
7.6
13.4
13.9
19.1
15.25
12.9
16.1
17.35
13.15
12.15
12.6
10.35
15.4
9.6
18.2
13.6
14.85
14.75
14.1
14.9
16.25
19.25
13.6
13.6
15.65
12.75
14.6
9.85
12.65
11.9
19.2
16.6
11.2
15.25
11.9
13.2
16.35
12.4
15.85
14.35
18.15
11.15
15.65
17.75
7.65
12.35
15.6
19.3
15.2
17.1
15.6
18.4
19.05
18.55
19.1
13.1
12.85
9.5
4.5
11.85
13.6
11.7
12.4
13.35
11.4
14.9
19.9
17.75
11.2
14.6
17.6
14.05
16.1
13.35
11.85
11.95
14.75
15.15
13.2
16.85
7.85
7.7
12.6
7.85
10.95
12.35
9.95
14.9
16.65
13.4
13.95
15.7
16.85
10.95
15.35
12.2
15.1
17.75
15.2
14.6
16.65
8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264212&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264212&T=0

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


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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.776714516231240.513862454661323
0.025.618137429264990.505926547137262
0.036.180684263998930.387229902643882
0.046.586787913609270.423401695602076
0.056.971297707481520.449932558071238
0.067.306788693642870.369125258654992
0.077.552984362930640.275581610869276
0.087.736162557383460.248898540829366
0.097.906021141819570.285790655480789
0.18.095026611207540.350274978561934
0.118.311603620719930.409385563695153
0.128.54740577124650.44371493809976
0.138.787434257484750.449319821996412
0.149.01810579483470.432714659383255
0.159.231188981024370.40457927665541
0.169.424304897973630.375265211231371
0.179.599766793095050.353025507479301
0.189.762907843854360.343025156043417
0.199.920069869198040.345745174210253
0.210.07626237677910.355686806536328
0.2110.23319487384460.363644673011694
0.2210.38879184906460.361460940468196
0.2310.5385811676850.346336406533135
0.2410.67810644638210.321370301671195
0.2510.80492518107980.29312968365454
0.2610.91921293283440.26786021230342
0.2711.02300806837970.248653295863143
0.2811.11893197469330.235378761175613
0.2911.20928206341780.226511081481502
0.311.29580323938610.221051380598893
0.3111.37982469312660.218329350848221
0.3211.46234939701810.217703125032673
0.3311.54403451206640.218022491301982
0.3411.62528451581030.218911578432174
0.3511.70655553886680.22121778900944
0.3611.78863178148710.226286787162234
0.3711.87253107304560.23437451431046
0.3811.95898932729650.243680779558538
0.3912.04786753819490.250735540456812
0.412.13792151158740.252557683243462
0.4112.22710492590080.247657397229228
0.4212.31323053017540.236773458993249
0.4312.39468604402030.222494974280838
0.4412.47098986639340.208528356009993
0.4512.54306839098250.19916365592998
0.4612.61313837673290.197747814589204
0.4712.68410561021880.205293745961194
0.4812.75858073900170.219173217743311
0.4912.83788345299740.234160489426096
0.512.92151660778540.244715565040833
0.5113.00740340640160.247182472205713
0.5213.09280027651830.241432367081579
0.5313.17547286325880.230614653502929
0.5413.25463744312760.219946548665181
0.5513.33133865564670.214901192753805
0.5613.40822362133130.219431111073806
0.5713.48889951087020.235014288400032
0.5813.57711072050760.260707440133893
0.5913.67587827355580.293075964300807
0.613.78666607651520.326572405359902
0.6113.90870027139540.354168859076519
0.6214.03871191583220.369026779236379
0.6314.17139879275730.366769301672753
0.6414.30067083485990.347536625400655
0.6514.42134174105510.31606780006923
0.6614.53062237873610.280756403781486
0.6714.62879314681450.250228875469507
0.6814.71879236748970.230765261499869
0.6914.80494001548080.224093238665211
0.714.89136647664410.227394285974634
0.7114.98080782878750.235436855967863
0.7215.07424422574970.243409019061239
0.7315.17142927849380.24918732534942
0.7415.27185651308470.253497159174558
0.7515.37546773925530.25815161831004
0.7615.48263745574830.263750895178899
0.7715.59349735239960.268726613575741
0.7815.70717263057010.269881232213963
0.7915.82179905386920.265295391708924
0.815.93597967710210.257987665939233
0.8116.05119857374140.257199540259291
0.8216.17317202590810.273010973733254
0.8316.31017272345620.306847139489772
0.8416.46900403584740.349349419551758
0.8516.65179562794710.388002140956272
0.8616.85544454559170.41358918810709
0.8717.07207880443110.418500885912295
0.8817.28953666602740.396234273081353
0.8917.49514010594490.351614831065059
0.917.68374002590340.306560414680482
0.9117.86068113790750.27927484023131
0.9218.03224988212550.259108832184556
0.9318.19787090647620.231632609406568
0.9418.36353050062450.220191637100377
0.9518.55728088435150.255679043626349
0.9618.79047329791270.270144746134364
0.9719.00102225750380.178863287486491
0.9819.15662592920870.106821547942058
0.9919.47098160615310.268974854740063

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.77671451623124 & 0.513862454661323 \tabularnewline
0.02 & 5.61813742926499 & 0.505926547137262 \tabularnewline
0.03 & 6.18068426399893 & 0.387229902643882 \tabularnewline
0.04 & 6.58678791360927 & 0.423401695602076 \tabularnewline
0.05 & 6.97129770748152 & 0.449932558071238 \tabularnewline
0.06 & 7.30678869364287 & 0.369125258654992 \tabularnewline
0.07 & 7.55298436293064 & 0.275581610869276 \tabularnewline
0.08 & 7.73616255738346 & 0.248898540829366 \tabularnewline
0.09 & 7.90602114181957 & 0.285790655480789 \tabularnewline
0.1 & 8.09502661120754 & 0.350274978561934 \tabularnewline
0.11 & 8.31160362071993 & 0.409385563695153 \tabularnewline
0.12 & 8.5474057712465 & 0.44371493809976 \tabularnewline
0.13 & 8.78743425748475 & 0.449319821996412 \tabularnewline
0.14 & 9.0181057948347 & 0.432714659383255 \tabularnewline
0.15 & 9.23118898102437 & 0.40457927665541 \tabularnewline
0.16 & 9.42430489797363 & 0.375265211231371 \tabularnewline
0.17 & 9.59976679309505 & 0.353025507479301 \tabularnewline
0.18 & 9.76290784385436 & 0.343025156043417 \tabularnewline
0.19 & 9.92006986919804 & 0.345745174210253 \tabularnewline
0.2 & 10.0762623767791 & 0.355686806536328 \tabularnewline
0.21 & 10.2331948738446 & 0.363644673011694 \tabularnewline
0.22 & 10.3887918490646 & 0.361460940468196 \tabularnewline
0.23 & 10.538581167685 & 0.346336406533135 \tabularnewline
0.24 & 10.6781064463821 & 0.321370301671195 \tabularnewline
0.25 & 10.8049251810798 & 0.29312968365454 \tabularnewline
0.26 & 10.9192129328344 & 0.26786021230342 \tabularnewline
0.27 & 11.0230080683797 & 0.248653295863143 \tabularnewline
0.28 & 11.1189319746933 & 0.235378761175613 \tabularnewline
0.29 & 11.2092820634178 & 0.226511081481502 \tabularnewline
0.3 & 11.2958032393861 & 0.221051380598893 \tabularnewline
0.31 & 11.3798246931266 & 0.218329350848221 \tabularnewline
0.32 & 11.4623493970181 & 0.217703125032673 \tabularnewline
0.33 & 11.5440345120664 & 0.218022491301982 \tabularnewline
0.34 & 11.6252845158103 & 0.218911578432174 \tabularnewline
0.35 & 11.7065555388668 & 0.22121778900944 \tabularnewline
0.36 & 11.7886317814871 & 0.226286787162234 \tabularnewline
0.37 & 11.8725310730456 & 0.23437451431046 \tabularnewline
0.38 & 11.9589893272965 & 0.243680779558538 \tabularnewline
0.39 & 12.0478675381949 & 0.250735540456812 \tabularnewline
0.4 & 12.1379215115874 & 0.252557683243462 \tabularnewline
0.41 & 12.2271049259008 & 0.247657397229228 \tabularnewline
0.42 & 12.3132305301754 & 0.236773458993249 \tabularnewline
0.43 & 12.3946860440203 & 0.222494974280838 \tabularnewline
0.44 & 12.4709898663934 & 0.208528356009993 \tabularnewline
0.45 & 12.5430683909825 & 0.19916365592998 \tabularnewline
0.46 & 12.6131383767329 & 0.197747814589204 \tabularnewline
0.47 & 12.6841056102188 & 0.205293745961194 \tabularnewline
0.48 & 12.7585807390017 & 0.219173217743311 \tabularnewline
0.49 & 12.8378834529974 & 0.234160489426096 \tabularnewline
0.5 & 12.9215166077854 & 0.244715565040833 \tabularnewline
0.51 & 13.0074034064016 & 0.247182472205713 \tabularnewline
0.52 & 13.0928002765183 & 0.241432367081579 \tabularnewline
0.53 & 13.1754728632588 & 0.230614653502929 \tabularnewline
0.54 & 13.2546374431276 & 0.219946548665181 \tabularnewline
0.55 & 13.3313386556467 & 0.214901192753805 \tabularnewline
0.56 & 13.4082236213313 & 0.219431111073806 \tabularnewline
0.57 & 13.4888995108702 & 0.235014288400032 \tabularnewline
0.58 & 13.5771107205076 & 0.260707440133893 \tabularnewline
0.59 & 13.6758782735558 & 0.293075964300807 \tabularnewline
0.6 & 13.7866660765152 & 0.326572405359902 \tabularnewline
0.61 & 13.9087002713954 & 0.354168859076519 \tabularnewline
0.62 & 14.0387119158322 & 0.369026779236379 \tabularnewline
0.63 & 14.1713987927573 & 0.366769301672753 \tabularnewline
0.64 & 14.3006708348599 & 0.347536625400655 \tabularnewline
0.65 & 14.4213417410551 & 0.31606780006923 \tabularnewline
0.66 & 14.5306223787361 & 0.280756403781486 \tabularnewline
0.67 & 14.6287931468145 & 0.250228875469507 \tabularnewline
0.68 & 14.7187923674897 & 0.230765261499869 \tabularnewline
0.69 & 14.8049400154808 & 0.224093238665211 \tabularnewline
0.7 & 14.8913664766441 & 0.227394285974634 \tabularnewline
0.71 & 14.9808078287875 & 0.235436855967863 \tabularnewline
0.72 & 15.0742442257497 & 0.243409019061239 \tabularnewline
0.73 & 15.1714292784938 & 0.24918732534942 \tabularnewline
0.74 & 15.2718565130847 & 0.253497159174558 \tabularnewline
0.75 & 15.3754677392553 & 0.25815161831004 \tabularnewline
0.76 & 15.4826374557483 & 0.263750895178899 \tabularnewline
0.77 & 15.5934973523996 & 0.268726613575741 \tabularnewline
0.78 & 15.7071726305701 & 0.269881232213963 \tabularnewline
0.79 & 15.8217990538692 & 0.265295391708924 \tabularnewline
0.8 & 15.9359796771021 & 0.257987665939233 \tabularnewline
0.81 & 16.0511985737414 & 0.257199540259291 \tabularnewline
0.82 & 16.1731720259081 & 0.273010973733254 \tabularnewline
0.83 & 16.3101727234562 & 0.306847139489772 \tabularnewline
0.84 & 16.4690040358474 & 0.349349419551758 \tabularnewline
0.85 & 16.6517956279471 & 0.388002140956272 \tabularnewline
0.86 & 16.8554445455917 & 0.41358918810709 \tabularnewline
0.87 & 17.0720788044311 & 0.418500885912295 \tabularnewline
0.88 & 17.2895366660274 & 0.396234273081353 \tabularnewline
0.89 & 17.4951401059449 & 0.351614831065059 \tabularnewline
0.9 & 17.6837400259034 & 0.306560414680482 \tabularnewline
0.91 & 17.8606811379075 & 0.27927484023131 \tabularnewline
0.92 & 18.0322498821255 & 0.259108832184556 \tabularnewline
0.93 & 18.1978709064762 & 0.231632609406568 \tabularnewline
0.94 & 18.3635305006245 & 0.220191637100377 \tabularnewline
0.95 & 18.5572808843515 & 0.255679043626349 \tabularnewline
0.96 & 18.7904732979127 & 0.270144746134364 \tabularnewline
0.97 & 19.0010222575038 & 0.178863287486491 \tabularnewline
0.98 & 19.1566259292087 & 0.106821547942058 \tabularnewline
0.99 & 19.4709816061531 & 0.268974854740063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264212&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]4.77671451623124[/C][C]0.513862454661323[/C][/ROW]
[ROW][C]0.02[/C][C]5.61813742926499[/C][C]0.505926547137262[/C][/ROW]
[ROW][C]0.03[/C][C]6.18068426399893[/C][C]0.387229902643882[/C][/ROW]
[ROW][C]0.04[/C][C]6.58678791360927[/C][C]0.423401695602076[/C][/ROW]
[ROW][C]0.05[/C][C]6.97129770748152[/C][C]0.449932558071238[/C][/ROW]
[ROW][C]0.06[/C][C]7.30678869364287[/C][C]0.369125258654992[/C][/ROW]
[ROW][C]0.07[/C][C]7.55298436293064[/C][C]0.275581610869276[/C][/ROW]
[ROW][C]0.08[/C][C]7.73616255738346[/C][C]0.248898540829366[/C][/ROW]
[ROW][C]0.09[/C][C]7.90602114181957[/C][C]0.285790655480789[/C][/ROW]
[ROW][C]0.1[/C][C]8.09502661120754[/C][C]0.350274978561934[/C][/ROW]
[ROW][C]0.11[/C][C]8.31160362071993[/C][C]0.409385563695153[/C][/ROW]
[ROW][C]0.12[/C][C]8.5474057712465[/C][C]0.44371493809976[/C][/ROW]
[ROW][C]0.13[/C][C]8.78743425748475[/C][C]0.449319821996412[/C][/ROW]
[ROW][C]0.14[/C][C]9.0181057948347[/C][C]0.432714659383255[/C][/ROW]
[ROW][C]0.15[/C][C]9.23118898102437[/C][C]0.40457927665541[/C][/ROW]
[ROW][C]0.16[/C][C]9.42430489797363[/C][C]0.375265211231371[/C][/ROW]
[ROW][C]0.17[/C][C]9.59976679309505[/C][C]0.353025507479301[/C][/ROW]
[ROW][C]0.18[/C][C]9.76290784385436[/C][C]0.343025156043417[/C][/ROW]
[ROW][C]0.19[/C][C]9.92006986919804[/C][C]0.345745174210253[/C][/ROW]
[ROW][C]0.2[/C][C]10.0762623767791[/C][C]0.355686806536328[/C][/ROW]
[ROW][C]0.21[/C][C]10.2331948738446[/C][C]0.363644673011694[/C][/ROW]
[ROW][C]0.22[/C][C]10.3887918490646[/C][C]0.361460940468196[/C][/ROW]
[ROW][C]0.23[/C][C]10.538581167685[/C][C]0.346336406533135[/C][/ROW]
[ROW][C]0.24[/C][C]10.6781064463821[/C][C]0.321370301671195[/C][/ROW]
[ROW][C]0.25[/C][C]10.8049251810798[/C][C]0.29312968365454[/C][/ROW]
[ROW][C]0.26[/C][C]10.9192129328344[/C][C]0.26786021230342[/C][/ROW]
[ROW][C]0.27[/C][C]11.0230080683797[/C][C]0.248653295863143[/C][/ROW]
[ROW][C]0.28[/C][C]11.1189319746933[/C][C]0.235378761175613[/C][/ROW]
[ROW][C]0.29[/C][C]11.2092820634178[/C][C]0.226511081481502[/C][/ROW]
[ROW][C]0.3[/C][C]11.2958032393861[/C][C]0.221051380598893[/C][/ROW]
[ROW][C]0.31[/C][C]11.3798246931266[/C][C]0.218329350848221[/C][/ROW]
[ROW][C]0.32[/C][C]11.4623493970181[/C][C]0.217703125032673[/C][/ROW]
[ROW][C]0.33[/C][C]11.5440345120664[/C][C]0.218022491301982[/C][/ROW]
[ROW][C]0.34[/C][C]11.6252845158103[/C][C]0.218911578432174[/C][/ROW]
[ROW][C]0.35[/C][C]11.7065555388668[/C][C]0.22121778900944[/C][/ROW]
[ROW][C]0.36[/C][C]11.7886317814871[/C][C]0.226286787162234[/C][/ROW]
[ROW][C]0.37[/C][C]11.8725310730456[/C][C]0.23437451431046[/C][/ROW]
[ROW][C]0.38[/C][C]11.9589893272965[/C][C]0.243680779558538[/C][/ROW]
[ROW][C]0.39[/C][C]12.0478675381949[/C][C]0.250735540456812[/C][/ROW]
[ROW][C]0.4[/C][C]12.1379215115874[/C][C]0.252557683243462[/C][/ROW]
[ROW][C]0.41[/C][C]12.2271049259008[/C][C]0.247657397229228[/C][/ROW]
[ROW][C]0.42[/C][C]12.3132305301754[/C][C]0.236773458993249[/C][/ROW]
[ROW][C]0.43[/C][C]12.3946860440203[/C][C]0.222494974280838[/C][/ROW]
[ROW][C]0.44[/C][C]12.4709898663934[/C][C]0.208528356009993[/C][/ROW]
[ROW][C]0.45[/C][C]12.5430683909825[/C][C]0.19916365592998[/C][/ROW]
[ROW][C]0.46[/C][C]12.6131383767329[/C][C]0.197747814589204[/C][/ROW]
[ROW][C]0.47[/C][C]12.6841056102188[/C][C]0.205293745961194[/C][/ROW]
[ROW][C]0.48[/C][C]12.7585807390017[/C][C]0.219173217743311[/C][/ROW]
[ROW][C]0.49[/C][C]12.8378834529974[/C][C]0.234160489426096[/C][/ROW]
[ROW][C]0.5[/C][C]12.9215166077854[/C][C]0.244715565040833[/C][/ROW]
[ROW][C]0.51[/C][C]13.0074034064016[/C][C]0.247182472205713[/C][/ROW]
[ROW][C]0.52[/C][C]13.0928002765183[/C][C]0.241432367081579[/C][/ROW]
[ROW][C]0.53[/C][C]13.1754728632588[/C][C]0.230614653502929[/C][/ROW]
[ROW][C]0.54[/C][C]13.2546374431276[/C][C]0.219946548665181[/C][/ROW]
[ROW][C]0.55[/C][C]13.3313386556467[/C][C]0.214901192753805[/C][/ROW]
[ROW][C]0.56[/C][C]13.4082236213313[/C][C]0.219431111073806[/C][/ROW]
[ROW][C]0.57[/C][C]13.4888995108702[/C][C]0.235014288400032[/C][/ROW]
[ROW][C]0.58[/C][C]13.5771107205076[/C][C]0.260707440133893[/C][/ROW]
[ROW][C]0.59[/C][C]13.6758782735558[/C][C]0.293075964300807[/C][/ROW]
[ROW][C]0.6[/C][C]13.7866660765152[/C][C]0.326572405359902[/C][/ROW]
[ROW][C]0.61[/C][C]13.9087002713954[/C][C]0.354168859076519[/C][/ROW]
[ROW][C]0.62[/C][C]14.0387119158322[/C][C]0.369026779236379[/C][/ROW]
[ROW][C]0.63[/C][C]14.1713987927573[/C][C]0.366769301672753[/C][/ROW]
[ROW][C]0.64[/C][C]14.3006708348599[/C][C]0.347536625400655[/C][/ROW]
[ROW][C]0.65[/C][C]14.4213417410551[/C][C]0.31606780006923[/C][/ROW]
[ROW][C]0.66[/C][C]14.5306223787361[/C][C]0.280756403781486[/C][/ROW]
[ROW][C]0.67[/C][C]14.6287931468145[/C][C]0.250228875469507[/C][/ROW]
[ROW][C]0.68[/C][C]14.7187923674897[/C][C]0.230765261499869[/C][/ROW]
[ROW][C]0.69[/C][C]14.8049400154808[/C][C]0.224093238665211[/C][/ROW]
[ROW][C]0.7[/C][C]14.8913664766441[/C][C]0.227394285974634[/C][/ROW]
[ROW][C]0.71[/C][C]14.9808078287875[/C][C]0.235436855967863[/C][/ROW]
[ROW][C]0.72[/C][C]15.0742442257497[/C][C]0.243409019061239[/C][/ROW]
[ROW][C]0.73[/C][C]15.1714292784938[/C][C]0.24918732534942[/C][/ROW]
[ROW][C]0.74[/C][C]15.2718565130847[/C][C]0.253497159174558[/C][/ROW]
[ROW][C]0.75[/C][C]15.3754677392553[/C][C]0.25815161831004[/C][/ROW]
[ROW][C]0.76[/C][C]15.4826374557483[/C][C]0.263750895178899[/C][/ROW]
[ROW][C]0.77[/C][C]15.5934973523996[/C][C]0.268726613575741[/C][/ROW]
[ROW][C]0.78[/C][C]15.7071726305701[/C][C]0.269881232213963[/C][/ROW]
[ROW][C]0.79[/C][C]15.8217990538692[/C][C]0.265295391708924[/C][/ROW]
[ROW][C]0.8[/C][C]15.9359796771021[/C][C]0.257987665939233[/C][/ROW]
[ROW][C]0.81[/C][C]16.0511985737414[/C][C]0.257199540259291[/C][/ROW]
[ROW][C]0.82[/C][C]16.1731720259081[/C][C]0.273010973733254[/C][/ROW]
[ROW][C]0.83[/C][C]16.3101727234562[/C][C]0.306847139489772[/C][/ROW]
[ROW][C]0.84[/C][C]16.4690040358474[/C][C]0.349349419551758[/C][/ROW]
[ROW][C]0.85[/C][C]16.6517956279471[/C][C]0.388002140956272[/C][/ROW]
[ROW][C]0.86[/C][C]16.8554445455917[/C][C]0.41358918810709[/C][/ROW]
[ROW][C]0.87[/C][C]17.0720788044311[/C][C]0.418500885912295[/C][/ROW]
[ROW][C]0.88[/C][C]17.2895366660274[/C][C]0.396234273081353[/C][/ROW]
[ROW][C]0.89[/C][C]17.4951401059449[/C][C]0.351614831065059[/C][/ROW]
[ROW][C]0.9[/C][C]17.6837400259034[/C][C]0.306560414680482[/C][/ROW]
[ROW][C]0.91[/C][C]17.8606811379075[/C][C]0.27927484023131[/C][/ROW]
[ROW][C]0.92[/C][C]18.0322498821255[/C][C]0.259108832184556[/C][/ROW]
[ROW][C]0.93[/C][C]18.1978709064762[/C][C]0.231632609406568[/C][/ROW]
[ROW][C]0.94[/C][C]18.3635305006245[/C][C]0.220191637100377[/C][/ROW]
[ROW][C]0.95[/C][C]18.5572808843515[/C][C]0.255679043626349[/C][/ROW]
[ROW][C]0.96[/C][C]18.7904732979127[/C][C]0.270144746134364[/C][/ROW]
[ROW][C]0.97[/C][C]19.0010222575038[/C][C]0.178863287486491[/C][/ROW]
[ROW][C]0.98[/C][C]19.1566259292087[/C][C]0.106821547942058[/C][/ROW]
[ROW][C]0.99[/C][C]19.4709816061531[/C][C]0.268974854740063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264212&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
0.014.776714516231240.513862454661323
0.025.618137429264990.505926547137262
0.036.180684263998930.387229902643882
0.046.586787913609270.423401695602076
0.056.971297707481520.449932558071238
0.067.306788693642870.369125258654992
0.077.552984362930640.275581610869276
0.087.736162557383460.248898540829366
0.097.906021141819570.285790655480789
0.18.095026611207540.350274978561934
0.118.311603620719930.409385563695153
0.128.54740577124650.44371493809976
0.138.787434257484750.449319821996412
0.149.01810579483470.432714659383255
0.159.231188981024370.40457927665541
0.169.424304897973630.375265211231371
0.179.599766793095050.353025507479301
0.189.762907843854360.343025156043417
0.199.920069869198040.345745174210253
0.210.07626237677910.355686806536328
0.2110.23319487384460.363644673011694
0.2210.38879184906460.361460940468196
0.2310.5385811676850.346336406533135
0.2410.67810644638210.321370301671195
0.2510.80492518107980.29312968365454
0.2610.91921293283440.26786021230342
0.2711.02300806837970.248653295863143
0.2811.11893197469330.235378761175613
0.2911.20928206341780.226511081481502
0.311.29580323938610.221051380598893
0.3111.37982469312660.218329350848221
0.3211.46234939701810.217703125032673
0.3311.54403451206640.218022491301982
0.3411.62528451581030.218911578432174
0.3511.70655553886680.22121778900944
0.3611.78863178148710.226286787162234
0.3711.87253107304560.23437451431046
0.3811.95898932729650.243680779558538
0.3912.04786753819490.250735540456812
0.412.13792151158740.252557683243462
0.4112.22710492590080.247657397229228
0.4212.31323053017540.236773458993249
0.4312.39468604402030.222494974280838
0.4412.47098986639340.208528356009993
0.4512.54306839098250.19916365592998
0.4612.61313837673290.197747814589204
0.4712.68410561021880.205293745961194
0.4812.75858073900170.219173217743311
0.4912.83788345299740.234160489426096
0.512.92151660778540.244715565040833
0.5113.00740340640160.247182472205713
0.5213.09280027651830.241432367081579
0.5313.17547286325880.230614653502929
0.5413.25463744312760.219946548665181
0.5513.33133865564670.214901192753805
0.5613.40822362133130.219431111073806
0.5713.48889951087020.235014288400032
0.5813.57711072050760.260707440133893
0.5913.67587827355580.293075964300807
0.613.78666607651520.326572405359902
0.6113.90870027139540.354168859076519
0.6214.03871191583220.369026779236379
0.6314.17139879275730.366769301672753
0.6414.30067083485990.347536625400655
0.6514.42134174105510.31606780006923
0.6614.53062237873610.280756403781486
0.6714.62879314681450.250228875469507
0.6814.71879236748970.230765261499869
0.6914.80494001548080.224093238665211
0.714.89136647664410.227394285974634
0.7114.98080782878750.235436855967863
0.7215.07424422574970.243409019061239
0.7315.17142927849380.24918732534942
0.7415.27185651308470.253497159174558
0.7515.37546773925530.25815161831004
0.7615.48263745574830.263750895178899
0.7715.59349735239960.268726613575741
0.7815.70717263057010.269881232213963
0.7915.82179905386920.265295391708924
0.815.93597967710210.257987665939233
0.8116.05119857374140.257199540259291
0.8216.17317202590810.273010973733254
0.8316.31017272345620.306847139489772
0.8416.46900403584740.349349419551758
0.8516.65179562794710.388002140956272
0.8616.85544454559170.41358918810709
0.8717.07207880443110.418500885912295
0.8817.28953666602740.396234273081353
0.8917.49514010594490.351614831065059
0.917.68374002590340.306560414680482
0.9117.86068113790750.27927484023131
0.9218.03224988212550.259108832184556
0.9318.19787090647620.231632609406568
0.9418.36353050062450.220191637100377
0.9518.55728088435150.255679043626349
0.9618.79047329791270.270144746134364
0.9719.00102225750380.178863287486491
0.9819.15662592920870.106821547942058
0.9919.47098160615310.268974854740063


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')