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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 May 2012 14:26:31 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/01/t13358970492feq5tcb6so47ox.htm/, Retrieved Sat, 04 May 2024 13:35:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165712, Retrieved Sat, 04 May 2024 13:35:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact107

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] [] [2012-05-01 18:26:31] [aa59cfa385e119596867d158cdccc7ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16.41
16.38
16.12
16.03
16.02
16.01
16.01
15.94
15.88
15.75
15.8
15.84
15.84
15.79
15.79
15.75
15.63
15.63
15.63
15.62
15.59
15.55
15.61
15.58
15.58
15.64
15.56
15.57
15.46
15.5
15.5
15.58
15.69
15.78
15.8
15.79
15.79
15.79
15.75
15.71
15.76
15.76
15.76
15.76
15.78
15.84
15.82
15.86
15.86
15.87
15.84
15.84
15.89
15.89
15.89
15.91
15.95
16.08
16.08
16.09

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165712&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165712&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.46892762566360.0338428556805587
0.0215.48216296117140.0287015295371806
0.0315.49644448475710.0274748779588002
0.0415.51011811708350.0289842168703575
0.0515.52274151187950.030094595630119
0.0615.53423842294630.0293615092149361
0.0715.54452550620450.0269963750972129
0.0815.55352581632220.0239142432522642
0.0915.56126638480450.0210267187567942
0.115.56790919474840.0189437469992134
0.1115.57371209754370.0178920266741937
0.1215.57896511632520.017884210031293
0.1315.58393723834540.0186944875825828
0.1415.58884639013690.020059486163873
0.1515.59385095167250.0217344787064096
0.1615.5990560794210.0235864080082757
0.1715.60452783112220.0255271030115912
0.1815.6103092325750.0275920258505181
0.1915.61643377999360.0298605190541149
0.215.62293337518790.0323694822446829
0.2115.62983944384280.0351802839595072
0.2215.63717783084010.0381964785739574
0.2315.64495963196650.041296953724012
0.2415.65317104143240.0442513514417453
0.2515.66176537931370.0468250399353603
0.2615.67065976282130.0487564199038219
0.2715.67973765242060.0498613190536742
0.2815.68885709475210.0500281084145084
0.2915.69786324992730.0492094250952733
0.315.70660298910530.0474783687610356
0.3115.71493909758680.0449592742110256
0.3215.72276189457810.0418734236844187
0.3315.72999674789670.0384292383542945
0.3415.73660682534410.0348697409475512
0.3515.74259128415970.031423593766646
0.3615.74797979422180.0282259950284893
0.3715.75282472141250.025411848051868
0.3815.75719243598530.023033663785243
0.3915.76115508695710.0211153934118786
0.415.76478386712930.0196056338945005
0.4115.76814437162240.0184350746434452
0.4215.7712942118630.0175489287215915
0.4315.77428265832680.0168678174354706
0.4415.77715179890860.0163810330574667
0.4515.77993854190930.016048476544456
0.4615.78267676757760.0158861575343821
0.4715.78539902577550.0158926038183589
0.4815.78813736138980.0160984775954534
0.4915.79092308612010.0165035440539492
0.515.79378556350330.017123683736271
0.5115.79675029262160.0178947595081208
0.5215.79983673000350.0187585055397475
0.5315.8030563545370.0196793385016066
0.5415.80641144696320.020551411297752
0.5515.80989493037530.0213309843094339
0.5615.81349142402470.021939488104353
0.5715.81717943574590.0223546085045425
0.5815.82093440208590.0225800179421689
0.5915.82473212307910.0226122191632491
0.615.82855206500180.0224989610123989
0.6115.83238003733870.0222932789750722
0.6215.8362098862090.0220653872690532
0.6315.84004406012130.0218769969017893
0.6415.84389315149720.0217803340580262
0.6515.84777474512430.0218096616160376
0.6615.85171205936210.0219781479843777
0.6715.85573290598210.0222899510350867
0.6815.85986939953340.0227559329800082
0.6915.86415862365020.0233811027594169
0.715.86864414482240.0241867575535478
0.7115.8733779142430.025225458449518
0.7215.87842179361450.0265541093732235
0.7315.88384776579230.0282341049068097
0.7415.88973592187090.030324357629441
0.7515.89616960248370.0328289411302062
0.7615.90322761672780.0357031150958089
0.7715.91097420726160.038843178822602
0.7815.91944823901720.0420632947159393
0.7915.92865375346860.045141799664378
0.815.93855430025350.0478270387448586
0.8115.94907310862020.0498843028196423
0.8215.96010010193020.0511614552474314
0.8315.97150516417340.0515712680998405
0.8415.98315548857580.0511384323260088
0.8515.99493421263540.0500173063123362
0.8616.00675901319150.0484254842940668
0.8716.01860376981640.0466029458121565
0.8816.03053355210830.0447844002999956
0.8916.04277039814960.0432540794004502
0.916.05580804650590.0425460850622855
0.9116.07057656724730.0438445439138426
0.9216.08860906566910.0493518373463489
0.9316.11207771526640.0617278369649389
0.9416.14347414061940.0821523122043139
0.9516.18470030034930.107961576003024
0.9616.23555551958750.130894116036596
0.9716.29214402519640.137602352791391
0.9816.34640212189840.116215006653458
0.9916.38814644447910.0699970861448928

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.4689276256636 & 0.0338428556805587 \tabularnewline
0.02 & 15.4821629611714 & 0.0287015295371806 \tabularnewline
0.03 & 15.4964444847571 & 0.0274748779588002 \tabularnewline
0.04 & 15.5101181170835 & 0.0289842168703575 \tabularnewline
0.05 & 15.5227415118795 & 0.030094595630119 \tabularnewline
0.06 & 15.5342384229463 & 0.0293615092149361 \tabularnewline
0.07 & 15.5445255062045 & 0.0269963750972129 \tabularnewline
0.08 & 15.5535258163222 & 0.0239142432522642 \tabularnewline
0.09 & 15.5612663848045 & 0.0210267187567942 \tabularnewline
0.1 & 15.5679091947484 & 0.0189437469992134 \tabularnewline
0.11 & 15.5737120975437 & 0.0178920266741937 \tabularnewline
0.12 & 15.5789651163252 & 0.017884210031293 \tabularnewline
0.13 & 15.5839372383454 & 0.0186944875825828 \tabularnewline
0.14 & 15.5888463901369 & 0.020059486163873 \tabularnewline
0.15 & 15.5938509516725 & 0.0217344787064096 \tabularnewline
0.16 & 15.599056079421 & 0.0235864080082757 \tabularnewline
0.17 & 15.6045278311222 & 0.0255271030115912 \tabularnewline
0.18 & 15.610309232575 & 0.0275920258505181 \tabularnewline
0.19 & 15.6164337799936 & 0.0298605190541149 \tabularnewline
0.2 & 15.6229333751879 & 0.0323694822446829 \tabularnewline
0.21 & 15.6298394438428 & 0.0351802839595072 \tabularnewline
0.22 & 15.6371778308401 & 0.0381964785739574 \tabularnewline
0.23 & 15.6449596319665 & 0.041296953724012 \tabularnewline
0.24 & 15.6531710414324 & 0.0442513514417453 \tabularnewline
0.25 & 15.6617653793137 & 0.0468250399353603 \tabularnewline
0.26 & 15.6706597628213 & 0.0487564199038219 \tabularnewline
0.27 & 15.6797376524206 & 0.0498613190536742 \tabularnewline
0.28 & 15.6888570947521 & 0.0500281084145084 \tabularnewline
0.29 & 15.6978632499273 & 0.0492094250952733 \tabularnewline
0.3 & 15.7066029891053 & 0.0474783687610356 \tabularnewline
0.31 & 15.7149390975868 & 0.0449592742110256 \tabularnewline
0.32 & 15.7227618945781 & 0.0418734236844187 \tabularnewline
0.33 & 15.7299967478967 & 0.0384292383542945 \tabularnewline
0.34 & 15.7366068253441 & 0.0348697409475512 \tabularnewline
0.35 & 15.7425912841597 & 0.031423593766646 \tabularnewline
0.36 & 15.7479797942218 & 0.0282259950284893 \tabularnewline
0.37 & 15.7528247214125 & 0.025411848051868 \tabularnewline
0.38 & 15.7571924359853 & 0.023033663785243 \tabularnewline
0.39 & 15.7611550869571 & 0.0211153934118786 \tabularnewline
0.4 & 15.7647838671293 & 0.0196056338945005 \tabularnewline
0.41 & 15.7681443716224 & 0.0184350746434452 \tabularnewline
0.42 & 15.771294211863 & 0.0175489287215915 \tabularnewline
0.43 & 15.7742826583268 & 0.0168678174354706 \tabularnewline
0.44 & 15.7771517989086 & 0.0163810330574667 \tabularnewline
0.45 & 15.7799385419093 & 0.016048476544456 \tabularnewline
0.46 & 15.7826767675776 & 0.0158861575343821 \tabularnewline
0.47 & 15.7853990257755 & 0.0158926038183589 \tabularnewline
0.48 & 15.7881373613898 & 0.0160984775954534 \tabularnewline
0.49 & 15.7909230861201 & 0.0165035440539492 \tabularnewline
0.5 & 15.7937855635033 & 0.017123683736271 \tabularnewline
0.51 & 15.7967502926216 & 0.0178947595081208 \tabularnewline
0.52 & 15.7998367300035 & 0.0187585055397475 \tabularnewline
0.53 & 15.803056354537 & 0.0196793385016066 \tabularnewline
0.54 & 15.8064114469632 & 0.020551411297752 \tabularnewline
0.55 & 15.8098949303753 & 0.0213309843094339 \tabularnewline
0.56 & 15.8134914240247 & 0.021939488104353 \tabularnewline
0.57 & 15.8171794357459 & 0.0223546085045425 \tabularnewline
0.58 & 15.8209344020859 & 0.0225800179421689 \tabularnewline
0.59 & 15.8247321230791 & 0.0226122191632491 \tabularnewline
0.6 & 15.8285520650018 & 0.0224989610123989 \tabularnewline
0.61 & 15.8323800373387 & 0.0222932789750722 \tabularnewline
0.62 & 15.836209886209 & 0.0220653872690532 \tabularnewline
0.63 & 15.8400440601213 & 0.0218769969017893 \tabularnewline
0.64 & 15.8438931514972 & 0.0217803340580262 \tabularnewline
0.65 & 15.8477747451243 & 0.0218096616160376 \tabularnewline
0.66 & 15.8517120593621 & 0.0219781479843777 \tabularnewline
0.67 & 15.8557329059821 & 0.0222899510350867 \tabularnewline
0.68 & 15.8598693995334 & 0.0227559329800082 \tabularnewline
0.69 & 15.8641586236502 & 0.0233811027594169 \tabularnewline
0.7 & 15.8686441448224 & 0.0241867575535478 \tabularnewline
0.71 & 15.873377914243 & 0.025225458449518 \tabularnewline
0.72 & 15.8784217936145 & 0.0265541093732235 \tabularnewline
0.73 & 15.8838477657923 & 0.0282341049068097 \tabularnewline
0.74 & 15.8897359218709 & 0.030324357629441 \tabularnewline
0.75 & 15.8961696024837 & 0.0328289411302062 \tabularnewline
0.76 & 15.9032276167278 & 0.0357031150958089 \tabularnewline
0.77 & 15.9109742072616 & 0.038843178822602 \tabularnewline
0.78 & 15.9194482390172 & 0.0420632947159393 \tabularnewline
0.79 & 15.9286537534686 & 0.045141799664378 \tabularnewline
0.8 & 15.9385543002535 & 0.0478270387448586 \tabularnewline
0.81 & 15.9490731086202 & 0.0498843028196423 \tabularnewline
0.82 & 15.9601001019302 & 0.0511614552474314 \tabularnewline
0.83 & 15.9715051641734 & 0.0515712680998405 \tabularnewline
0.84 & 15.9831554885758 & 0.0511384323260088 \tabularnewline
0.85 & 15.9949342126354 & 0.0500173063123362 \tabularnewline
0.86 & 16.0067590131915 & 0.0484254842940668 \tabularnewline
0.87 & 16.0186037698164 & 0.0466029458121565 \tabularnewline
0.88 & 16.0305335521083 & 0.0447844002999956 \tabularnewline
0.89 & 16.0427703981496 & 0.0432540794004502 \tabularnewline
0.9 & 16.0558080465059 & 0.0425460850622855 \tabularnewline
0.91 & 16.0705765672473 & 0.0438445439138426 \tabularnewline
0.92 & 16.0886090656691 & 0.0493518373463489 \tabularnewline
0.93 & 16.1120777152664 & 0.0617278369649389 \tabularnewline
0.94 & 16.1434741406194 & 0.0821523122043139 \tabularnewline
0.95 & 16.1847003003493 & 0.107961576003024 \tabularnewline
0.96 & 16.2355555195875 & 0.130894116036596 \tabularnewline
0.97 & 16.2921440251964 & 0.137602352791391 \tabularnewline
0.98 & 16.3464021218984 & 0.116215006653458 \tabularnewline
0.99 & 16.3881464444791 & 0.0699970861448928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165712&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]15.4689276256636[/C][C]0.0338428556805587[/C][/ROW]
[ROW][C]0.02[/C][C]15.4821629611714[/C][C]0.0287015295371806[/C][/ROW]
[ROW][C]0.03[/C][C]15.4964444847571[/C][C]0.0274748779588002[/C][/ROW]
[ROW][C]0.04[/C][C]15.5101181170835[/C][C]0.0289842168703575[/C][/ROW]
[ROW][C]0.05[/C][C]15.5227415118795[/C][C]0.030094595630119[/C][/ROW]
[ROW][C]0.06[/C][C]15.5342384229463[/C][C]0.0293615092149361[/C][/ROW]
[ROW][C]0.07[/C][C]15.5445255062045[/C][C]0.0269963750972129[/C][/ROW]
[ROW][C]0.08[/C][C]15.5535258163222[/C][C]0.0239142432522642[/C][/ROW]
[ROW][C]0.09[/C][C]15.5612663848045[/C][C]0.0210267187567942[/C][/ROW]
[ROW][C]0.1[/C][C]15.5679091947484[/C][C]0.0189437469992134[/C][/ROW]
[ROW][C]0.11[/C][C]15.5737120975437[/C][C]0.0178920266741937[/C][/ROW]
[ROW][C]0.12[/C][C]15.5789651163252[/C][C]0.017884210031293[/C][/ROW]
[ROW][C]0.13[/C][C]15.5839372383454[/C][C]0.0186944875825828[/C][/ROW]
[ROW][C]0.14[/C][C]15.5888463901369[/C][C]0.020059486163873[/C][/ROW]
[ROW][C]0.15[/C][C]15.5938509516725[/C][C]0.0217344787064096[/C][/ROW]
[ROW][C]0.16[/C][C]15.599056079421[/C][C]0.0235864080082757[/C][/ROW]
[ROW][C]0.17[/C][C]15.6045278311222[/C][C]0.0255271030115912[/C][/ROW]
[ROW][C]0.18[/C][C]15.610309232575[/C][C]0.0275920258505181[/C][/ROW]
[ROW][C]0.19[/C][C]15.6164337799936[/C][C]0.0298605190541149[/C][/ROW]
[ROW][C]0.2[/C][C]15.6229333751879[/C][C]0.0323694822446829[/C][/ROW]
[ROW][C]0.21[/C][C]15.6298394438428[/C][C]0.0351802839595072[/C][/ROW]
[ROW][C]0.22[/C][C]15.6371778308401[/C][C]0.0381964785739574[/C][/ROW]
[ROW][C]0.23[/C][C]15.6449596319665[/C][C]0.041296953724012[/C][/ROW]
[ROW][C]0.24[/C][C]15.6531710414324[/C][C]0.0442513514417453[/C][/ROW]
[ROW][C]0.25[/C][C]15.6617653793137[/C][C]0.0468250399353603[/C][/ROW]
[ROW][C]0.26[/C][C]15.6706597628213[/C][C]0.0487564199038219[/C][/ROW]
[ROW][C]0.27[/C][C]15.6797376524206[/C][C]0.0498613190536742[/C][/ROW]
[ROW][C]0.28[/C][C]15.6888570947521[/C][C]0.0500281084145084[/C][/ROW]
[ROW][C]0.29[/C][C]15.6978632499273[/C][C]0.0492094250952733[/C][/ROW]
[ROW][C]0.3[/C][C]15.7066029891053[/C][C]0.0474783687610356[/C][/ROW]
[ROW][C]0.31[/C][C]15.7149390975868[/C][C]0.0449592742110256[/C][/ROW]
[ROW][C]0.32[/C][C]15.7227618945781[/C][C]0.0418734236844187[/C][/ROW]
[ROW][C]0.33[/C][C]15.7299967478967[/C][C]0.0384292383542945[/C][/ROW]
[ROW][C]0.34[/C][C]15.7366068253441[/C][C]0.0348697409475512[/C][/ROW]
[ROW][C]0.35[/C][C]15.7425912841597[/C][C]0.031423593766646[/C][/ROW]
[ROW][C]0.36[/C][C]15.7479797942218[/C][C]0.0282259950284893[/C][/ROW]
[ROW][C]0.37[/C][C]15.7528247214125[/C][C]0.025411848051868[/C][/ROW]
[ROW][C]0.38[/C][C]15.7571924359853[/C][C]0.023033663785243[/C][/ROW]
[ROW][C]0.39[/C][C]15.7611550869571[/C][C]0.0211153934118786[/C][/ROW]
[ROW][C]0.4[/C][C]15.7647838671293[/C][C]0.0196056338945005[/C][/ROW]
[ROW][C]0.41[/C][C]15.7681443716224[/C][C]0.0184350746434452[/C][/ROW]
[ROW][C]0.42[/C][C]15.771294211863[/C][C]0.0175489287215915[/C][/ROW]
[ROW][C]0.43[/C][C]15.7742826583268[/C][C]0.0168678174354706[/C][/ROW]
[ROW][C]0.44[/C][C]15.7771517989086[/C][C]0.0163810330574667[/C][/ROW]
[ROW][C]0.45[/C][C]15.7799385419093[/C][C]0.016048476544456[/C][/ROW]
[ROW][C]0.46[/C][C]15.7826767675776[/C][C]0.0158861575343821[/C][/ROW]
[ROW][C]0.47[/C][C]15.7853990257755[/C][C]0.0158926038183589[/C][/ROW]
[ROW][C]0.48[/C][C]15.7881373613898[/C][C]0.0160984775954534[/C][/ROW]
[ROW][C]0.49[/C][C]15.7909230861201[/C][C]0.0165035440539492[/C][/ROW]
[ROW][C]0.5[/C][C]15.7937855635033[/C][C]0.017123683736271[/C][/ROW]
[ROW][C]0.51[/C][C]15.7967502926216[/C][C]0.0178947595081208[/C][/ROW]
[ROW][C]0.52[/C][C]15.7998367300035[/C][C]0.0187585055397475[/C][/ROW]
[ROW][C]0.53[/C][C]15.803056354537[/C][C]0.0196793385016066[/C][/ROW]
[ROW][C]0.54[/C][C]15.8064114469632[/C][C]0.020551411297752[/C][/ROW]
[ROW][C]0.55[/C][C]15.8098949303753[/C][C]0.0213309843094339[/C][/ROW]
[ROW][C]0.56[/C][C]15.8134914240247[/C][C]0.021939488104353[/C][/ROW]
[ROW][C]0.57[/C][C]15.8171794357459[/C][C]0.0223546085045425[/C][/ROW]
[ROW][C]0.58[/C][C]15.8209344020859[/C][C]0.0225800179421689[/C][/ROW]
[ROW][C]0.59[/C][C]15.8247321230791[/C][C]0.0226122191632491[/C][/ROW]
[ROW][C]0.6[/C][C]15.8285520650018[/C][C]0.0224989610123989[/C][/ROW]
[ROW][C]0.61[/C][C]15.8323800373387[/C][C]0.0222932789750722[/C][/ROW]
[ROW][C]0.62[/C][C]15.836209886209[/C][C]0.0220653872690532[/C][/ROW]
[ROW][C]0.63[/C][C]15.8400440601213[/C][C]0.0218769969017893[/C][/ROW]
[ROW][C]0.64[/C][C]15.8438931514972[/C][C]0.0217803340580262[/C][/ROW]
[ROW][C]0.65[/C][C]15.8477747451243[/C][C]0.0218096616160376[/C][/ROW]
[ROW][C]0.66[/C][C]15.8517120593621[/C][C]0.0219781479843777[/C][/ROW]
[ROW][C]0.67[/C][C]15.8557329059821[/C][C]0.0222899510350867[/C][/ROW]
[ROW][C]0.68[/C][C]15.8598693995334[/C][C]0.0227559329800082[/C][/ROW]
[ROW][C]0.69[/C][C]15.8641586236502[/C][C]0.0233811027594169[/C][/ROW]
[ROW][C]0.7[/C][C]15.8686441448224[/C][C]0.0241867575535478[/C][/ROW]
[ROW][C]0.71[/C][C]15.873377914243[/C][C]0.025225458449518[/C][/ROW]
[ROW][C]0.72[/C][C]15.8784217936145[/C][C]0.0265541093732235[/C][/ROW]
[ROW][C]0.73[/C][C]15.8838477657923[/C][C]0.0282341049068097[/C][/ROW]
[ROW][C]0.74[/C][C]15.8897359218709[/C][C]0.030324357629441[/C][/ROW]
[ROW][C]0.75[/C][C]15.8961696024837[/C][C]0.0328289411302062[/C][/ROW]
[ROW][C]0.76[/C][C]15.9032276167278[/C][C]0.0357031150958089[/C][/ROW]
[ROW][C]0.77[/C][C]15.9109742072616[/C][C]0.038843178822602[/C][/ROW]
[ROW][C]0.78[/C][C]15.9194482390172[/C][C]0.0420632947159393[/C][/ROW]
[ROW][C]0.79[/C][C]15.9286537534686[/C][C]0.045141799664378[/C][/ROW]
[ROW][C]0.8[/C][C]15.9385543002535[/C][C]0.0478270387448586[/C][/ROW]
[ROW][C]0.81[/C][C]15.9490731086202[/C][C]0.0498843028196423[/C][/ROW]
[ROW][C]0.82[/C][C]15.9601001019302[/C][C]0.0511614552474314[/C][/ROW]
[ROW][C]0.83[/C][C]15.9715051641734[/C][C]0.0515712680998405[/C][/ROW]
[ROW][C]0.84[/C][C]15.9831554885758[/C][C]0.0511384323260088[/C][/ROW]
[ROW][C]0.85[/C][C]15.9949342126354[/C][C]0.0500173063123362[/C][/ROW]
[ROW][C]0.86[/C][C]16.0067590131915[/C][C]0.0484254842940668[/C][/ROW]
[ROW][C]0.87[/C][C]16.0186037698164[/C][C]0.0466029458121565[/C][/ROW]
[ROW][C]0.88[/C][C]16.0305335521083[/C][C]0.0447844002999956[/C][/ROW]
[ROW][C]0.89[/C][C]16.0427703981496[/C][C]0.0432540794004502[/C][/ROW]
[ROW][C]0.9[/C][C]16.0558080465059[/C][C]0.0425460850622855[/C][/ROW]
[ROW][C]0.91[/C][C]16.0705765672473[/C][C]0.0438445439138426[/C][/ROW]
[ROW][C]0.92[/C][C]16.0886090656691[/C][C]0.0493518373463489[/C][/ROW]
[ROW][C]0.93[/C][C]16.1120777152664[/C][C]0.0617278369649389[/C][/ROW]
[ROW][C]0.94[/C][C]16.1434741406194[/C][C]0.0821523122043139[/C][/ROW]
[ROW][C]0.95[/C][C]16.1847003003493[/C][C]0.107961576003024[/C][/ROW]
[ROW][C]0.96[/C][C]16.2355555195875[/C][C]0.130894116036596[/C][/ROW]
[ROW][C]0.97[/C][C]16.2921440251964[/C][C]0.137602352791391[/C][/ROW]
[ROW][C]0.98[/C][C]16.3464021218984[/C][C]0.116215006653458[/C][/ROW]
[ROW][C]0.99[/C][C]16.3881464444791[/C][C]0.0699970861448928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165712&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
0.0115.46892762566360.0338428556805587
0.0215.48216296117140.0287015295371806
0.0315.49644448475710.0274748779588002
0.0415.51011811708350.0289842168703575
0.0515.52274151187950.030094595630119
0.0615.53423842294630.0293615092149361
0.0715.54452550620450.0269963750972129
0.0815.55352581632220.0239142432522642
0.0915.56126638480450.0210267187567942
0.115.56790919474840.0189437469992134
0.1115.57371209754370.0178920266741937
0.1215.57896511632520.017884210031293
0.1315.58393723834540.0186944875825828
0.1415.58884639013690.020059486163873
0.1515.59385095167250.0217344787064096
0.1615.5990560794210.0235864080082757
0.1715.60452783112220.0255271030115912
0.1815.6103092325750.0275920258505181
0.1915.61643377999360.0298605190541149
0.215.62293337518790.0323694822446829
0.2115.62983944384280.0351802839595072
0.2215.63717783084010.0381964785739574
0.2315.64495963196650.041296953724012
0.2415.65317104143240.0442513514417453
0.2515.66176537931370.0468250399353603
0.2615.67065976282130.0487564199038219
0.2715.67973765242060.0498613190536742
0.2815.68885709475210.0500281084145084
0.2915.69786324992730.0492094250952733
0.315.70660298910530.0474783687610356
0.3115.71493909758680.0449592742110256
0.3215.72276189457810.0418734236844187
0.3315.72999674789670.0384292383542945
0.3415.73660682534410.0348697409475512
0.3515.74259128415970.031423593766646
0.3615.74797979422180.0282259950284893
0.3715.75282472141250.025411848051868
0.3815.75719243598530.023033663785243
0.3915.76115508695710.0211153934118786
0.415.76478386712930.0196056338945005
0.4115.76814437162240.0184350746434452
0.4215.7712942118630.0175489287215915
0.4315.77428265832680.0168678174354706
0.4415.77715179890860.0163810330574667
0.4515.77993854190930.016048476544456
0.4615.78267676757760.0158861575343821
0.4715.78539902577550.0158926038183589
0.4815.78813736138980.0160984775954534
0.4915.79092308612010.0165035440539492
0.515.79378556350330.017123683736271
0.5115.79675029262160.0178947595081208
0.5215.79983673000350.0187585055397475
0.5315.8030563545370.0196793385016066
0.5415.80641144696320.020551411297752
0.5515.80989493037530.0213309843094339
0.5615.81349142402470.021939488104353
0.5715.81717943574590.0223546085045425
0.5815.82093440208590.0225800179421689
0.5915.82473212307910.0226122191632491
0.615.82855206500180.0224989610123989
0.6115.83238003733870.0222932789750722
0.6215.8362098862090.0220653872690532
0.6315.84004406012130.0218769969017893
0.6415.84389315149720.0217803340580262
0.6515.84777474512430.0218096616160376
0.6615.85171205936210.0219781479843777
0.6715.85573290598210.0222899510350867
0.6815.85986939953340.0227559329800082
0.6915.86415862365020.0233811027594169
0.715.86864414482240.0241867575535478
0.7115.8733779142430.025225458449518
0.7215.87842179361450.0265541093732235
0.7315.88384776579230.0282341049068097
0.7415.88973592187090.030324357629441
0.7515.89616960248370.0328289411302062
0.7615.90322761672780.0357031150958089
0.7715.91097420726160.038843178822602
0.7815.91944823901720.0420632947159393
0.7915.92865375346860.045141799664378
0.815.93855430025350.0478270387448586
0.8115.94907310862020.0498843028196423
0.8215.96010010193020.0511614552474314
0.8315.97150516417340.0515712680998405
0.8415.98315548857580.0511384323260088
0.8515.99493421263540.0500173063123362
0.8616.00675901319150.0484254842940668
0.8716.01860376981640.0466029458121565
0.8816.03053355210830.0447844002999956
0.8916.04277039814960.0432540794004502
0.916.05580804650590.0425460850622855
0.9116.07057656724730.0438445439138426
0.9216.08860906566910.0493518373463489
0.9316.11207771526640.0617278369649389
0.9416.14347414061940.0821523122043139
0.9516.18470030034930.107961576003024
0.9616.23555551958750.130894116036596
0.9716.29214402519640.137602352791391
0.9816.34640212189840.116215006653458
0.9916.38814644447910.0699970861448928


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')