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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, 12 Oct 2011 07:31:55 -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/2011/Oct/12/t1318419406szwvb41wde05by7.htm/, Retrieved Sun, 19 Apr 2026 06:48:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128321, Retrieved Sun, 19 Apr 2026 06:48:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact306

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] [Evolutie tabakpri...] [2011-10-12 11:31:55] [de3755f9a1b164103f4acd66d3337cdc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48
5.48
5.48
5.48
5.5
5.55
5.55
5.57
5.58
5.58
5.58
5.59
5.59
5.59
5.61
5.61
5.61
5.63
5.69
5.7
5.7
5.7
5.7
5.7
5.7
5.7

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128321&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128321&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128321&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.280507851711040.115018383877279
0.024.343565670201720.073673159694361
0.034.390078775673890.042382894265978
0.044.416649960560230.0229373819555039
0.054.430055187379910.0119981063439579
0.064.436593487597850.00659093198007729
0.074.439991423788940.00460319611726453
0.084.442109438153060.004300220879167
0.094.443770942431550.00443587652811898
0.14.44528520034230.00451864014594587
0.114.446751191217370.00455863662368693
0.124.448231759653830.00488273279256356
0.134.449846740348220.00601609328606675
0.144.451813217331670.00848272316777618
0.154.454450730656240.0126556688996846
0.164.458161835359510.0187778768939129
0.174.46339290475420.0269186312427851
0.184.47057788194150.0369053051068671
0.194.480069697659680.0482373885267135
0.24.492069072077080.060079381841803
0.214.506565344851440.07135125913673
0.224.523305448651320.0808999889645051
0.234.54180319289670.0877111037288592
0.244.561392142306860.0911011837457874
0.254.58131432922790.0908627887153823
0.264.600827655590030.0873074908374197
0.274.619310339493490.0812098142724096
0.284.636342460267680.073647508460271
0.294.651751593117410.0658655996186187
0.34.665619060129520.0591125563215394
0.314.678252313281990.0545049715728856
0.324.69013491734730.0529141815755511
0.334.701867376152360.0548279357659351
0.344.714109940243490.060334090638549
0.354.727533898237450.0692482736947504
0.364.742782512458110.0812414086258671
0.374.760438456163210.0959537108652351
0.384.780992594889410.112895841329645
0.394.804809730976030.131397238428501
0.44.832090157532350.150531449128655
0.414.862830438615590.16913407084804
0.424.896791145075490.18587734589965
0.434.93348168677110.199359828354846
0.444.972171734496960.208334230111026
0.455.011934781714060.21185812826808
0.465.051722997681050.20947192305663
0.475.090465374123160.201292790996503
0.485.127175297932910.188026202257826
0.495.161050779505880.170888365079814
0.55.191551424476280.151412205026607
0.515.218440537993640.131290717002166
0.525.241787244320920.112131536787918
0.535.261930488207690.0953487604590639
0.545.279412678729140.0819964679004289
0.555.294894524499210.0726808597619104
0.565.309064000815140.0674739302705049
0.575.322551697677510.0658141069454541
0.585.335862644020910.0666729826547218
0.595.349331711764150.0688223711654198
0.65.363106319666850.0711133098911754
0.615.377156642310950.0726158653712227
0.625.391310076415860.0726935332732984
0.635.40530358711110.071040816563175
0.645.418845140772940.0676817227965196
0.655.431674183404840.0629433207921116
0.665.443611408860760.0573567603241266
0.675.454589987582150.0516041990213111
0.685.464663752458110.0463671824734454
0.695.473991996525720.0422389025977155
0.75.482804760789770.0395834002577511
0.715.491355987435790.0384499939668295
0.725.499874027390530.0385494446683519
0.735.508519312989480.0393445434212392
0.745.517357441114690.0402315237151018
0.755.526352709547060.0406750421114435
0.765.535382905412330.0402931709533963
0.775.544271745852960.0389107151859524
0.785.55283184573780.0365827112677359
0.795.560909350746140.033552267419639
0.85.568421907696640.0302109574184436
0.815.57538420628580.0270225814445817
0.825.581918841218980.0244550155762956
0.835.588253018312410.0229443642256442
0.845.594702022246510.0228080513298603
0.855.601637880128110.0241929460658627
0.865.609438073610940.0269946137751754
0.875.618408811539420.0307863715623328
0.885.628685420147140.0347992591821489
0.895.64013054131470.0379551459595281
0.95.652272359072330.0390837980236284
0.915.664333896134990.0373137923271141
0.925.67538288010290.032469685733777
0.935.684576617935180.0253066246833125
0.945.691412257193830.0173063678268737
0.955.695865360644550.010116245942167
0.965.698343191455570.00487284596184153
0.975.699479103411290.00182615580721803
0.985.699884543910430.000478233212766916
0.995.699986149545056.65445176984535e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.28050785171104 & 0.115018383877279 \tabularnewline
0.02 & 4.34356567020172 & 0.073673159694361 \tabularnewline
0.03 & 4.39007877567389 & 0.042382894265978 \tabularnewline
0.04 & 4.41664996056023 & 0.0229373819555039 \tabularnewline
0.05 & 4.43005518737991 & 0.0119981063439579 \tabularnewline
0.06 & 4.43659348759785 & 0.00659093198007729 \tabularnewline
0.07 & 4.43999142378894 & 0.00460319611726453 \tabularnewline
0.08 & 4.44210943815306 & 0.004300220879167 \tabularnewline
0.09 & 4.44377094243155 & 0.00443587652811898 \tabularnewline
0.1 & 4.4452852003423 & 0.00451864014594587 \tabularnewline
0.11 & 4.44675119121737 & 0.00455863662368693 \tabularnewline
0.12 & 4.44823175965383 & 0.00488273279256356 \tabularnewline
0.13 & 4.44984674034822 & 0.00601609328606675 \tabularnewline
0.14 & 4.45181321733167 & 0.00848272316777618 \tabularnewline
0.15 & 4.45445073065624 & 0.0126556688996846 \tabularnewline
0.16 & 4.45816183535951 & 0.0187778768939129 \tabularnewline
0.17 & 4.4633929047542 & 0.0269186312427851 \tabularnewline
0.18 & 4.4705778819415 & 0.0369053051068671 \tabularnewline
0.19 & 4.48006969765968 & 0.0482373885267135 \tabularnewline
0.2 & 4.49206907207708 & 0.060079381841803 \tabularnewline
0.21 & 4.50656534485144 & 0.07135125913673 \tabularnewline
0.22 & 4.52330544865132 & 0.0808999889645051 \tabularnewline
0.23 & 4.5418031928967 & 0.0877111037288592 \tabularnewline
0.24 & 4.56139214230686 & 0.0911011837457874 \tabularnewline
0.25 & 4.5813143292279 & 0.0908627887153823 \tabularnewline
0.26 & 4.60082765559003 & 0.0873074908374197 \tabularnewline
0.27 & 4.61931033949349 & 0.0812098142724096 \tabularnewline
0.28 & 4.63634246026768 & 0.073647508460271 \tabularnewline
0.29 & 4.65175159311741 & 0.0658655996186187 \tabularnewline
0.3 & 4.66561906012952 & 0.0591125563215394 \tabularnewline
0.31 & 4.67825231328199 & 0.0545049715728856 \tabularnewline
0.32 & 4.6901349173473 & 0.0529141815755511 \tabularnewline
0.33 & 4.70186737615236 & 0.0548279357659351 \tabularnewline
0.34 & 4.71410994024349 & 0.060334090638549 \tabularnewline
0.35 & 4.72753389823745 & 0.0692482736947504 \tabularnewline
0.36 & 4.74278251245811 & 0.0812414086258671 \tabularnewline
0.37 & 4.76043845616321 & 0.0959537108652351 \tabularnewline
0.38 & 4.78099259488941 & 0.112895841329645 \tabularnewline
0.39 & 4.80480973097603 & 0.131397238428501 \tabularnewline
0.4 & 4.83209015753235 & 0.150531449128655 \tabularnewline
0.41 & 4.86283043861559 & 0.16913407084804 \tabularnewline
0.42 & 4.89679114507549 & 0.18587734589965 \tabularnewline
0.43 & 4.9334816867711 & 0.199359828354846 \tabularnewline
0.44 & 4.97217173449696 & 0.208334230111026 \tabularnewline
0.45 & 5.01193478171406 & 0.21185812826808 \tabularnewline
0.46 & 5.05172299768105 & 0.20947192305663 \tabularnewline
0.47 & 5.09046537412316 & 0.201292790996503 \tabularnewline
0.48 & 5.12717529793291 & 0.188026202257826 \tabularnewline
0.49 & 5.16105077950588 & 0.170888365079814 \tabularnewline
0.5 & 5.19155142447628 & 0.151412205026607 \tabularnewline
0.51 & 5.21844053799364 & 0.131290717002166 \tabularnewline
0.52 & 5.24178724432092 & 0.112131536787918 \tabularnewline
0.53 & 5.26193048820769 & 0.0953487604590639 \tabularnewline
0.54 & 5.27941267872914 & 0.0819964679004289 \tabularnewline
0.55 & 5.29489452449921 & 0.0726808597619104 \tabularnewline
0.56 & 5.30906400081514 & 0.0674739302705049 \tabularnewline
0.57 & 5.32255169767751 & 0.0658141069454541 \tabularnewline
0.58 & 5.33586264402091 & 0.0666729826547218 \tabularnewline
0.59 & 5.34933171176415 & 0.0688223711654198 \tabularnewline
0.6 & 5.36310631966685 & 0.0711133098911754 \tabularnewline
0.61 & 5.37715664231095 & 0.0726158653712227 \tabularnewline
0.62 & 5.39131007641586 & 0.0726935332732984 \tabularnewline
0.63 & 5.4053035871111 & 0.071040816563175 \tabularnewline
0.64 & 5.41884514077294 & 0.0676817227965196 \tabularnewline
0.65 & 5.43167418340484 & 0.0629433207921116 \tabularnewline
0.66 & 5.44361140886076 & 0.0573567603241266 \tabularnewline
0.67 & 5.45458998758215 & 0.0516041990213111 \tabularnewline
0.68 & 5.46466375245811 & 0.0463671824734454 \tabularnewline
0.69 & 5.47399199652572 & 0.0422389025977155 \tabularnewline
0.7 & 5.48280476078977 & 0.0395834002577511 \tabularnewline
0.71 & 5.49135598743579 & 0.0384499939668295 \tabularnewline
0.72 & 5.49987402739053 & 0.0385494446683519 \tabularnewline
0.73 & 5.50851931298948 & 0.0393445434212392 \tabularnewline
0.74 & 5.51735744111469 & 0.0402315237151018 \tabularnewline
0.75 & 5.52635270954706 & 0.0406750421114435 \tabularnewline
0.76 & 5.53538290541233 & 0.0402931709533963 \tabularnewline
0.77 & 5.54427174585296 & 0.0389107151859524 \tabularnewline
0.78 & 5.5528318457378 & 0.0365827112677359 \tabularnewline
0.79 & 5.56090935074614 & 0.033552267419639 \tabularnewline
0.8 & 5.56842190769664 & 0.0302109574184436 \tabularnewline
0.81 & 5.5753842062858 & 0.0270225814445817 \tabularnewline
0.82 & 5.58191884121898 & 0.0244550155762956 \tabularnewline
0.83 & 5.58825301831241 & 0.0229443642256442 \tabularnewline
0.84 & 5.59470202224651 & 0.0228080513298603 \tabularnewline
0.85 & 5.60163788012811 & 0.0241929460658627 \tabularnewline
0.86 & 5.60943807361094 & 0.0269946137751754 \tabularnewline
0.87 & 5.61840881153942 & 0.0307863715623328 \tabularnewline
0.88 & 5.62868542014714 & 0.0347992591821489 \tabularnewline
0.89 & 5.6401305413147 & 0.0379551459595281 \tabularnewline
0.9 & 5.65227235907233 & 0.0390837980236284 \tabularnewline
0.91 & 5.66433389613499 & 0.0373137923271141 \tabularnewline
0.92 & 5.6753828801029 & 0.032469685733777 \tabularnewline
0.93 & 5.68457661793518 & 0.0253066246833125 \tabularnewline
0.94 & 5.69141225719383 & 0.0173063678268737 \tabularnewline
0.95 & 5.69586536064455 & 0.010116245942167 \tabularnewline
0.96 & 5.69834319145557 & 0.00487284596184153 \tabularnewline
0.97 & 5.69947910341129 & 0.00182615580721803 \tabularnewline
0.98 & 5.69988454391043 & 0.000478233212766916 \tabularnewline
0.99 & 5.69998614954505 & 6.65445176984535e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128321&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]4.28050785171104[/C][C]0.115018383877279[/C][/ROW]
[ROW][C]0.02[/C][C]4.34356567020172[/C][C]0.073673159694361[/C][/ROW]
[ROW][C]0.03[/C][C]4.39007877567389[/C][C]0.042382894265978[/C][/ROW]
[ROW][C]0.04[/C][C]4.41664996056023[/C][C]0.0229373819555039[/C][/ROW]
[ROW][C]0.05[/C][C]4.43005518737991[/C][C]0.0119981063439579[/C][/ROW]
[ROW][C]0.06[/C][C]4.43659348759785[/C][C]0.00659093198007729[/C][/ROW]
[ROW][C]0.07[/C][C]4.43999142378894[/C][C]0.00460319611726453[/C][/ROW]
[ROW][C]0.08[/C][C]4.44210943815306[/C][C]0.004300220879167[/C][/ROW]
[ROW][C]0.09[/C][C]4.44377094243155[/C][C]0.00443587652811898[/C][/ROW]
[ROW][C]0.1[/C][C]4.4452852003423[/C][C]0.00451864014594587[/C][/ROW]
[ROW][C]0.11[/C][C]4.44675119121737[/C][C]0.00455863662368693[/C][/ROW]
[ROW][C]0.12[/C][C]4.44823175965383[/C][C]0.00488273279256356[/C][/ROW]
[ROW][C]0.13[/C][C]4.44984674034822[/C][C]0.00601609328606675[/C][/ROW]
[ROW][C]0.14[/C][C]4.45181321733167[/C][C]0.00848272316777618[/C][/ROW]
[ROW][C]0.15[/C][C]4.45445073065624[/C][C]0.0126556688996846[/C][/ROW]
[ROW][C]0.16[/C][C]4.45816183535951[/C][C]0.0187778768939129[/C][/ROW]
[ROW][C]0.17[/C][C]4.4633929047542[/C][C]0.0269186312427851[/C][/ROW]
[ROW][C]0.18[/C][C]4.4705778819415[/C][C]0.0369053051068671[/C][/ROW]
[ROW][C]0.19[/C][C]4.48006969765968[/C][C]0.0482373885267135[/C][/ROW]
[ROW][C]0.2[/C][C]4.49206907207708[/C][C]0.060079381841803[/C][/ROW]
[ROW][C]0.21[/C][C]4.50656534485144[/C][C]0.07135125913673[/C][/ROW]
[ROW][C]0.22[/C][C]4.52330544865132[/C][C]0.0808999889645051[/C][/ROW]
[ROW][C]0.23[/C][C]4.5418031928967[/C][C]0.0877111037288592[/C][/ROW]
[ROW][C]0.24[/C][C]4.56139214230686[/C][C]0.0911011837457874[/C][/ROW]
[ROW][C]0.25[/C][C]4.5813143292279[/C][C]0.0908627887153823[/C][/ROW]
[ROW][C]0.26[/C][C]4.60082765559003[/C][C]0.0873074908374197[/C][/ROW]
[ROW][C]0.27[/C][C]4.61931033949349[/C][C]0.0812098142724096[/C][/ROW]
[ROW][C]0.28[/C][C]4.63634246026768[/C][C]0.073647508460271[/C][/ROW]
[ROW][C]0.29[/C][C]4.65175159311741[/C][C]0.0658655996186187[/C][/ROW]
[ROW][C]0.3[/C][C]4.66561906012952[/C][C]0.0591125563215394[/C][/ROW]
[ROW][C]0.31[/C][C]4.67825231328199[/C][C]0.0545049715728856[/C][/ROW]
[ROW][C]0.32[/C][C]4.6901349173473[/C][C]0.0529141815755511[/C][/ROW]
[ROW][C]0.33[/C][C]4.70186737615236[/C][C]0.0548279357659351[/C][/ROW]
[ROW][C]0.34[/C][C]4.71410994024349[/C][C]0.060334090638549[/C][/ROW]
[ROW][C]0.35[/C][C]4.72753389823745[/C][C]0.0692482736947504[/C][/ROW]
[ROW][C]0.36[/C][C]4.74278251245811[/C][C]0.0812414086258671[/C][/ROW]
[ROW][C]0.37[/C][C]4.76043845616321[/C][C]0.0959537108652351[/C][/ROW]
[ROW][C]0.38[/C][C]4.78099259488941[/C][C]0.112895841329645[/C][/ROW]
[ROW][C]0.39[/C][C]4.80480973097603[/C][C]0.131397238428501[/C][/ROW]
[ROW][C]0.4[/C][C]4.83209015753235[/C][C]0.150531449128655[/C][/ROW]
[ROW][C]0.41[/C][C]4.86283043861559[/C][C]0.16913407084804[/C][/ROW]
[ROW][C]0.42[/C][C]4.89679114507549[/C][C]0.18587734589965[/C][/ROW]
[ROW][C]0.43[/C][C]4.9334816867711[/C][C]0.199359828354846[/C][/ROW]
[ROW][C]0.44[/C][C]4.97217173449696[/C][C]0.208334230111026[/C][/ROW]
[ROW][C]0.45[/C][C]5.01193478171406[/C][C]0.21185812826808[/C][/ROW]
[ROW][C]0.46[/C][C]5.05172299768105[/C][C]0.20947192305663[/C][/ROW]
[ROW][C]0.47[/C][C]5.09046537412316[/C][C]0.201292790996503[/C][/ROW]
[ROW][C]0.48[/C][C]5.12717529793291[/C][C]0.188026202257826[/C][/ROW]
[ROW][C]0.49[/C][C]5.16105077950588[/C][C]0.170888365079814[/C][/ROW]
[ROW][C]0.5[/C][C]5.19155142447628[/C][C]0.151412205026607[/C][/ROW]
[ROW][C]0.51[/C][C]5.21844053799364[/C][C]0.131290717002166[/C][/ROW]
[ROW][C]0.52[/C][C]5.24178724432092[/C][C]0.112131536787918[/C][/ROW]
[ROW][C]0.53[/C][C]5.26193048820769[/C][C]0.0953487604590639[/C][/ROW]
[ROW][C]0.54[/C][C]5.27941267872914[/C][C]0.0819964679004289[/C][/ROW]
[ROW][C]0.55[/C][C]5.29489452449921[/C][C]0.0726808597619104[/C][/ROW]
[ROW][C]0.56[/C][C]5.30906400081514[/C][C]0.0674739302705049[/C][/ROW]
[ROW][C]0.57[/C][C]5.32255169767751[/C][C]0.0658141069454541[/C][/ROW]
[ROW][C]0.58[/C][C]5.33586264402091[/C][C]0.0666729826547218[/C][/ROW]
[ROW][C]0.59[/C][C]5.34933171176415[/C][C]0.0688223711654198[/C][/ROW]
[ROW][C]0.6[/C][C]5.36310631966685[/C][C]0.0711133098911754[/C][/ROW]
[ROW][C]0.61[/C][C]5.37715664231095[/C][C]0.0726158653712227[/C][/ROW]
[ROW][C]0.62[/C][C]5.39131007641586[/C][C]0.0726935332732984[/C][/ROW]
[ROW][C]0.63[/C][C]5.4053035871111[/C][C]0.071040816563175[/C][/ROW]
[ROW][C]0.64[/C][C]5.41884514077294[/C][C]0.0676817227965196[/C][/ROW]
[ROW][C]0.65[/C][C]5.43167418340484[/C][C]0.0629433207921116[/C][/ROW]
[ROW][C]0.66[/C][C]5.44361140886076[/C][C]0.0573567603241266[/C][/ROW]
[ROW][C]0.67[/C][C]5.45458998758215[/C][C]0.0516041990213111[/C][/ROW]
[ROW][C]0.68[/C][C]5.46466375245811[/C][C]0.0463671824734454[/C][/ROW]
[ROW][C]0.69[/C][C]5.47399199652572[/C][C]0.0422389025977155[/C][/ROW]
[ROW][C]0.7[/C][C]5.48280476078977[/C][C]0.0395834002577511[/C][/ROW]
[ROW][C]0.71[/C][C]5.49135598743579[/C][C]0.0384499939668295[/C][/ROW]
[ROW][C]0.72[/C][C]5.49987402739053[/C][C]0.0385494446683519[/C][/ROW]
[ROW][C]0.73[/C][C]5.50851931298948[/C][C]0.0393445434212392[/C][/ROW]
[ROW][C]0.74[/C][C]5.51735744111469[/C][C]0.0402315237151018[/C][/ROW]
[ROW][C]0.75[/C][C]5.52635270954706[/C][C]0.0406750421114435[/C][/ROW]
[ROW][C]0.76[/C][C]5.53538290541233[/C][C]0.0402931709533963[/C][/ROW]
[ROW][C]0.77[/C][C]5.54427174585296[/C][C]0.0389107151859524[/C][/ROW]
[ROW][C]0.78[/C][C]5.5528318457378[/C][C]0.0365827112677359[/C][/ROW]
[ROW][C]0.79[/C][C]5.56090935074614[/C][C]0.033552267419639[/C][/ROW]
[ROW][C]0.8[/C][C]5.56842190769664[/C][C]0.0302109574184436[/C][/ROW]
[ROW][C]0.81[/C][C]5.5753842062858[/C][C]0.0270225814445817[/C][/ROW]
[ROW][C]0.82[/C][C]5.58191884121898[/C][C]0.0244550155762956[/C][/ROW]
[ROW][C]0.83[/C][C]5.58825301831241[/C][C]0.0229443642256442[/C][/ROW]
[ROW][C]0.84[/C][C]5.59470202224651[/C][C]0.0228080513298603[/C][/ROW]
[ROW][C]0.85[/C][C]5.60163788012811[/C][C]0.0241929460658627[/C][/ROW]
[ROW][C]0.86[/C][C]5.60943807361094[/C][C]0.0269946137751754[/C][/ROW]
[ROW][C]0.87[/C][C]5.61840881153942[/C][C]0.0307863715623328[/C][/ROW]
[ROW][C]0.88[/C][C]5.62868542014714[/C][C]0.0347992591821489[/C][/ROW]
[ROW][C]0.89[/C][C]5.6401305413147[/C][C]0.0379551459595281[/C][/ROW]
[ROW][C]0.9[/C][C]5.65227235907233[/C][C]0.0390837980236284[/C][/ROW]
[ROW][C]0.91[/C][C]5.66433389613499[/C][C]0.0373137923271141[/C][/ROW]
[ROW][C]0.92[/C][C]5.6753828801029[/C][C]0.032469685733777[/C][/ROW]
[ROW][C]0.93[/C][C]5.68457661793518[/C][C]0.0253066246833125[/C][/ROW]
[ROW][C]0.94[/C][C]5.69141225719383[/C][C]0.0173063678268737[/C][/ROW]
[ROW][C]0.95[/C][C]5.69586536064455[/C][C]0.010116245942167[/C][/ROW]
[ROW][C]0.96[/C][C]5.69834319145557[/C][C]0.00487284596184153[/C][/ROW]
[ROW][C]0.97[/C][C]5.69947910341129[/C][C]0.00182615580721803[/C][/ROW]
[ROW][C]0.98[/C][C]5.69988454391043[/C][C]0.000478233212766916[/C][/ROW]
[ROW][C]0.99[/C][C]5.69998614954505[/C][C]6.65445176984535e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128321&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128321&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
0.014.280507851711040.115018383877279
0.024.343565670201720.073673159694361
0.034.390078775673890.042382894265978
0.044.416649960560230.0229373819555039
0.054.430055187379910.0119981063439579
0.064.436593487597850.00659093198007729
0.074.439991423788940.00460319611726453
0.084.442109438153060.004300220879167
0.094.443770942431550.00443587652811898
0.14.44528520034230.00451864014594587
0.114.446751191217370.00455863662368693
0.124.448231759653830.00488273279256356
0.134.449846740348220.00601609328606675
0.144.451813217331670.00848272316777618
0.154.454450730656240.0126556688996846
0.164.458161835359510.0187778768939129
0.174.46339290475420.0269186312427851
0.184.47057788194150.0369053051068671
0.194.480069697659680.0482373885267135
0.24.492069072077080.060079381841803
0.214.506565344851440.07135125913673
0.224.523305448651320.0808999889645051
0.234.54180319289670.0877111037288592
0.244.561392142306860.0911011837457874
0.254.58131432922790.0908627887153823
0.264.600827655590030.0873074908374197
0.274.619310339493490.0812098142724096
0.284.636342460267680.073647508460271
0.294.651751593117410.0658655996186187
0.34.665619060129520.0591125563215394
0.314.678252313281990.0545049715728856
0.324.69013491734730.0529141815755511
0.334.701867376152360.0548279357659351
0.344.714109940243490.060334090638549
0.354.727533898237450.0692482736947504
0.364.742782512458110.0812414086258671
0.374.760438456163210.0959537108652351
0.384.780992594889410.112895841329645
0.394.804809730976030.131397238428501
0.44.832090157532350.150531449128655
0.414.862830438615590.16913407084804
0.424.896791145075490.18587734589965
0.434.93348168677110.199359828354846
0.444.972171734496960.208334230111026
0.455.011934781714060.21185812826808
0.465.051722997681050.20947192305663
0.475.090465374123160.201292790996503
0.485.127175297932910.188026202257826
0.495.161050779505880.170888365079814
0.55.191551424476280.151412205026607
0.515.218440537993640.131290717002166
0.525.241787244320920.112131536787918
0.535.261930488207690.0953487604590639
0.545.279412678729140.0819964679004289
0.555.294894524499210.0726808597619104
0.565.309064000815140.0674739302705049
0.575.322551697677510.0658141069454541
0.585.335862644020910.0666729826547218
0.595.349331711764150.0688223711654198
0.65.363106319666850.0711133098911754
0.615.377156642310950.0726158653712227
0.625.391310076415860.0726935332732984
0.635.40530358711110.071040816563175
0.645.418845140772940.0676817227965196
0.655.431674183404840.0629433207921116
0.665.443611408860760.0573567603241266
0.675.454589987582150.0516041990213111
0.685.464663752458110.0463671824734454
0.695.473991996525720.0422389025977155
0.75.482804760789770.0395834002577511
0.715.491355987435790.0384499939668295
0.725.499874027390530.0385494446683519
0.735.508519312989480.0393445434212392
0.745.517357441114690.0402315237151018
0.755.526352709547060.0406750421114435
0.765.535382905412330.0402931709533963
0.775.544271745852960.0389107151859524
0.785.55283184573780.0365827112677359
0.795.560909350746140.033552267419639
0.85.568421907696640.0302109574184436
0.815.57538420628580.0270225814445817
0.825.581918841218980.0244550155762956
0.835.588253018312410.0229443642256442
0.845.594702022246510.0228080513298603
0.855.601637880128110.0241929460658627
0.865.609438073610940.0269946137751754
0.875.618408811539420.0307863715623328
0.885.628685420147140.0347992591821489
0.895.64013054131470.0379551459595281
0.95.652272359072330.0390837980236284
0.915.664333896134990.0373137923271141
0.925.67538288010290.032469685733777
0.935.684576617935180.0253066246833125
0.945.691412257193830.0173063678268737
0.955.695865360644550.010116245942167
0.965.698343191455570.00487284596184153
0.975.699479103411290.00182615580721803
0.985.699884543910430.000478233212766916
0.995.699986149545056.65445176984535e-05


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')