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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 07 Oct 2014 13:50:57 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/07/t1412686431gyk3p0gb03f9cv8.htm/, Retrieved Fri, 10 May 2024 13:59:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239183, Retrieved Fri, 10 May 2024 13:59:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-07 12:50:57] [7686dea5cfa8a11058319f854e13a03d] [Current]
- R PD    [Harrell-Davis Quantiles] [] [2014-12-13 15:05:14] [1dc82bdb5c80f95e8e2b51cc758e300e]
- R  D    [Harrell-Davis Quantiles] [] [2014-12-13 15:11:27] [1dc82bdb5c80f95e8e2b51cc758e300e]
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Dataseries X:
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.61
3.71
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.21
4.23
4.23
4.23
4.23




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=239183&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=239183&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239183&T=0

As an alternative you can also use a 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
0.013.590017840974648.90927006914219e-05
0.023.590134007334220.00058458060300959
0.033.590576813597860.00219197637792117
0.043.591816969127410.00598648599864169
0.053.594611935718160.0131046010798774
0.063.599935771431250.0241965145938136
0.073.608773454212620.0388894550893498
0.083.621829639022060.0555973208726958
0.093.639258034967260.0718018013382598
0.13.660522854582880.0847591109350432
0.113.684453344209850.0922966527861577
0.123.709474390167610.0934028624842409
0.133.733931252933320.0883984760513225
0.143.756402860429070.0786886857627161
0.153.77591884403870.066270878679951
0.163.792042567629770.0531973747036209
0.173.804830754435010.0411796898687605
0.183.814711522389070.0314096293501939
0.193.822330946421980.0245886233669668
0.23.828408760529710.0210114569836528
0.213.833626385026140.0204675769688495
0.223.838554008507980.0221831789138023
0.233.843612793761760.0251867976664282
0.243.849064032417160.0286599919814418
0.253.855017267304280.0319569715637124
0.263.861451388316530.0345829131016336
0.273.868244509418640.0361911708264675
0.283.875209224471570.0365925277885336
0.293.882129759992190.0357679907494157
0.33.888797214504120.0338599273077048
0.313.895039111349070.0311370641791177
0.323.900740205869640.0279461569415238
0.333.905852819153510.0246718493373556
0.343.910396596297110.0216834328977615
0.353.914449105068820.0193050287250606
0.363.918129784189670.0177787615534233
0.373.921580276616780.0172141489494215
0.383.924944173919120.0175488901252176
0.393.928348796622530.0185787822942399
0.43.931891015501790.0200225132761163
0.413.935628419685580.0215928343254065
0.423.939576439635010.0230313214953353
0.433.943711368942030.0241343252419365
0.443.947978612242530.0247608131480594
0.453.952304939861750.0248459786064284
0.463.956613095274770.0244159853516237
0.473.960836832724230.0235768017875773
0.483.964934404948030.0225135081221612
0.493.968898693587190.021465448639997
0.53.972762561066620.0207214501980722
0.513.976598556447660.0205640149231065
0.523.980512767214080.0212312878105713
0.533.984633310801540.022832796986181
0.543.989094644956620.0253227599160113
0.553.994019486240360.0285213449692766
0.563.999500594334770.032147429573326
0.574.005584926877260.035867649492247
0.584.012262612597220.0393125424161712
0.594.019462768283490.0421235739174258
0.64.027057391006580.0440011610359293
0.614.034873466082560.0447294889345567
0.624.042712204450140.0442160891976848
0.634.050373179773450.0425097154187055
0.644.057680297868320.0397981269394728
0.654.064506158568880.0363905346307578
0.664.070791510787950.032692145340441
0.674.07655708199290.0291760521867329
0.684.081905927705320.02634090528796
0.694.087015429372540.0246861103144327
0.74.092119069071610.0245957816587415
0.714.097479126002610.0261997945381367
0.724.103352540533810.0293001474503159
0.734.10995341879770.0334528712750769
0.744.117416903253980.038076157012252
0.754.125770095121910.042521468127032
0.764.134915888631170.0461430089406433
0.774.144634467471440.0483656375694835
0.784.154604587267910.0487720399688345
0.794.164442899206270.0471786710189176
0.84.173755322492210.0436765780845783
0.814.182191117486410.0386099073773545
0.824.189489095971270.0325212824364416
0.834.195507033793450.0260426909456496
0.844.200229598385320.0197827046007686
0.854.203755771266280.014225804812099
0.864.20627201068990.0096839711785336
0.874.208020409844640.00628476438613778
0.884.209270578986690.00403429908971695
0.894.210299649236170.00294858884472581
0.94.211377763633710.00307518225555416
0.914.212749545132130.00414280947813057
0.924.214600041700810.00570946839631996
0.934.217001792807550.00731405513294829
0.944.21985939063320.00838378804857521
0.954.222890452847430.00836513815062192
0.964.225686106498920.00702484024776955
0.974.227858449438010.00471661206865953
0.984.229212933795460.00229994514053845
0.994.229832818928860.000638720259117121

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.59001784097464 & 8.90927006914219e-05 \tabularnewline
0.02 & 3.59013400733422 & 0.00058458060300959 \tabularnewline
0.03 & 3.59057681359786 & 0.00219197637792117 \tabularnewline
0.04 & 3.59181696912741 & 0.00598648599864169 \tabularnewline
0.05 & 3.59461193571816 & 0.0131046010798774 \tabularnewline
0.06 & 3.59993577143125 & 0.0241965145938136 \tabularnewline
0.07 & 3.60877345421262 & 0.0388894550893498 \tabularnewline
0.08 & 3.62182963902206 & 0.0555973208726958 \tabularnewline
0.09 & 3.63925803496726 & 0.0718018013382598 \tabularnewline
0.1 & 3.66052285458288 & 0.0847591109350432 \tabularnewline
0.11 & 3.68445334420985 & 0.0922966527861577 \tabularnewline
0.12 & 3.70947439016761 & 0.0934028624842409 \tabularnewline
0.13 & 3.73393125293332 & 0.0883984760513225 \tabularnewline
0.14 & 3.75640286042907 & 0.0786886857627161 \tabularnewline
0.15 & 3.7759188440387 & 0.066270878679951 \tabularnewline
0.16 & 3.79204256762977 & 0.0531973747036209 \tabularnewline
0.17 & 3.80483075443501 & 0.0411796898687605 \tabularnewline
0.18 & 3.81471152238907 & 0.0314096293501939 \tabularnewline
0.19 & 3.82233094642198 & 0.0245886233669668 \tabularnewline
0.2 & 3.82840876052971 & 0.0210114569836528 \tabularnewline
0.21 & 3.83362638502614 & 0.0204675769688495 \tabularnewline
0.22 & 3.83855400850798 & 0.0221831789138023 \tabularnewline
0.23 & 3.84361279376176 & 0.0251867976664282 \tabularnewline
0.24 & 3.84906403241716 & 0.0286599919814418 \tabularnewline
0.25 & 3.85501726730428 & 0.0319569715637124 \tabularnewline
0.26 & 3.86145138831653 & 0.0345829131016336 \tabularnewline
0.27 & 3.86824450941864 & 0.0361911708264675 \tabularnewline
0.28 & 3.87520922447157 & 0.0365925277885336 \tabularnewline
0.29 & 3.88212975999219 & 0.0357679907494157 \tabularnewline
0.3 & 3.88879721450412 & 0.0338599273077048 \tabularnewline
0.31 & 3.89503911134907 & 0.0311370641791177 \tabularnewline
0.32 & 3.90074020586964 & 0.0279461569415238 \tabularnewline
0.33 & 3.90585281915351 & 0.0246718493373556 \tabularnewline
0.34 & 3.91039659629711 & 0.0216834328977615 \tabularnewline
0.35 & 3.91444910506882 & 0.0193050287250606 \tabularnewline
0.36 & 3.91812978418967 & 0.0177787615534233 \tabularnewline
0.37 & 3.92158027661678 & 0.0172141489494215 \tabularnewline
0.38 & 3.92494417391912 & 0.0175488901252176 \tabularnewline
0.39 & 3.92834879662253 & 0.0185787822942399 \tabularnewline
0.4 & 3.93189101550179 & 0.0200225132761163 \tabularnewline
0.41 & 3.93562841968558 & 0.0215928343254065 \tabularnewline
0.42 & 3.93957643963501 & 0.0230313214953353 \tabularnewline
0.43 & 3.94371136894203 & 0.0241343252419365 \tabularnewline
0.44 & 3.94797861224253 & 0.0247608131480594 \tabularnewline
0.45 & 3.95230493986175 & 0.0248459786064284 \tabularnewline
0.46 & 3.95661309527477 & 0.0244159853516237 \tabularnewline
0.47 & 3.96083683272423 & 0.0235768017875773 \tabularnewline
0.48 & 3.96493440494803 & 0.0225135081221612 \tabularnewline
0.49 & 3.96889869358719 & 0.021465448639997 \tabularnewline
0.5 & 3.97276256106662 & 0.0207214501980722 \tabularnewline
0.51 & 3.97659855644766 & 0.0205640149231065 \tabularnewline
0.52 & 3.98051276721408 & 0.0212312878105713 \tabularnewline
0.53 & 3.98463331080154 & 0.022832796986181 \tabularnewline
0.54 & 3.98909464495662 & 0.0253227599160113 \tabularnewline
0.55 & 3.99401948624036 & 0.0285213449692766 \tabularnewline
0.56 & 3.99950059433477 & 0.032147429573326 \tabularnewline
0.57 & 4.00558492687726 & 0.035867649492247 \tabularnewline
0.58 & 4.01226261259722 & 0.0393125424161712 \tabularnewline
0.59 & 4.01946276828349 & 0.0421235739174258 \tabularnewline
0.6 & 4.02705739100658 & 0.0440011610359293 \tabularnewline
0.61 & 4.03487346608256 & 0.0447294889345567 \tabularnewline
0.62 & 4.04271220445014 & 0.0442160891976848 \tabularnewline
0.63 & 4.05037317977345 & 0.0425097154187055 \tabularnewline
0.64 & 4.05768029786832 & 0.0397981269394728 \tabularnewline
0.65 & 4.06450615856888 & 0.0363905346307578 \tabularnewline
0.66 & 4.07079151078795 & 0.032692145340441 \tabularnewline
0.67 & 4.0765570819929 & 0.0291760521867329 \tabularnewline
0.68 & 4.08190592770532 & 0.02634090528796 \tabularnewline
0.69 & 4.08701542937254 & 0.0246861103144327 \tabularnewline
0.7 & 4.09211906907161 & 0.0245957816587415 \tabularnewline
0.71 & 4.09747912600261 & 0.0261997945381367 \tabularnewline
0.72 & 4.10335254053381 & 0.0293001474503159 \tabularnewline
0.73 & 4.1099534187977 & 0.0334528712750769 \tabularnewline
0.74 & 4.11741690325398 & 0.038076157012252 \tabularnewline
0.75 & 4.12577009512191 & 0.042521468127032 \tabularnewline
0.76 & 4.13491588863117 & 0.0461430089406433 \tabularnewline
0.77 & 4.14463446747144 & 0.0483656375694835 \tabularnewline
0.78 & 4.15460458726791 & 0.0487720399688345 \tabularnewline
0.79 & 4.16444289920627 & 0.0471786710189176 \tabularnewline
0.8 & 4.17375532249221 & 0.0436765780845783 \tabularnewline
0.81 & 4.18219111748641 & 0.0386099073773545 \tabularnewline
0.82 & 4.18948909597127 & 0.0325212824364416 \tabularnewline
0.83 & 4.19550703379345 & 0.0260426909456496 \tabularnewline
0.84 & 4.20022959838532 & 0.0197827046007686 \tabularnewline
0.85 & 4.20375577126628 & 0.014225804812099 \tabularnewline
0.86 & 4.2062720106899 & 0.0096839711785336 \tabularnewline
0.87 & 4.20802040984464 & 0.00628476438613778 \tabularnewline
0.88 & 4.20927057898669 & 0.00403429908971695 \tabularnewline
0.89 & 4.21029964923617 & 0.00294858884472581 \tabularnewline
0.9 & 4.21137776363371 & 0.00307518225555416 \tabularnewline
0.91 & 4.21274954513213 & 0.00414280947813057 \tabularnewline
0.92 & 4.21460004170081 & 0.00570946839631996 \tabularnewline
0.93 & 4.21700179280755 & 0.00731405513294829 \tabularnewline
0.94 & 4.2198593906332 & 0.00838378804857521 \tabularnewline
0.95 & 4.22289045284743 & 0.00836513815062192 \tabularnewline
0.96 & 4.22568610649892 & 0.00702484024776955 \tabularnewline
0.97 & 4.22785844943801 & 0.00471661206865953 \tabularnewline
0.98 & 4.22921293379546 & 0.00229994514053845 \tabularnewline
0.99 & 4.22983281892886 & 0.000638720259117121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239183&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]3.59001784097464[/C][C]8.90927006914219e-05[/C][/ROW]
[ROW][C]0.02[/C][C]3.59013400733422[/C][C]0.00058458060300959[/C][/ROW]
[ROW][C]0.03[/C][C]3.59057681359786[/C][C]0.00219197637792117[/C][/ROW]
[ROW][C]0.04[/C][C]3.59181696912741[/C][C]0.00598648599864169[/C][/ROW]
[ROW][C]0.05[/C][C]3.59461193571816[/C][C]0.0131046010798774[/C][/ROW]
[ROW][C]0.06[/C][C]3.59993577143125[/C][C]0.0241965145938136[/C][/ROW]
[ROW][C]0.07[/C][C]3.60877345421262[/C][C]0.0388894550893498[/C][/ROW]
[ROW][C]0.08[/C][C]3.62182963902206[/C][C]0.0555973208726958[/C][/ROW]
[ROW][C]0.09[/C][C]3.63925803496726[/C][C]0.0718018013382598[/C][/ROW]
[ROW][C]0.1[/C][C]3.66052285458288[/C][C]0.0847591109350432[/C][/ROW]
[ROW][C]0.11[/C][C]3.68445334420985[/C][C]0.0922966527861577[/C][/ROW]
[ROW][C]0.12[/C][C]3.70947439016761[/C][C]0.0934028624842409[/C][/ROW]
[ROW][C]0.13[/C][C]3.73393125293332[/C][C]0.0883984760513225[/C][/ROW]
[ROW][C]0.14[/C][C]3.75640286042907[/C][C]0.0786886857627161[/C][/ROW]
[ROW][C]0.15[/C][C]3.7759188440387[/C][C]0.066270878679951[/C][/ROW]
[ROW][C]0.16[/C][C]3.79204256762977[/C][C]0.0531973747036209[/C][/ROW]
[ROW][C]0.17[/C][C]3.80483075443501[/C][C]0.0411796898687605[/C][/ROW]
[ROW][C]0.18[/C][C]3.81471152238907[/C][C]0.0314096293501939[/C][/ROW]
[ROW][C]0.19[/C][C]3.82233094642198[/C][C]0.0245886233669668[/C][/ROW]
[ROW][C]0.2[/C][C]3.82840876052971[/C][C]0.0210114569836528[/C][/ROW]
[ROW][C]0.21[/C][C]3.83362638502614[/C][C]0.0204675769688495[/C][/ROW]
[ROW][C]0.22[/C][C]3.83855400850798[/C][C]0.0221831789138023[/C][/ROW]
[ROW][C]0.23[/C][C]3.84361279376176[/C][C]0.0251867976664282[/C][/ROW]
[ROW][C]0.24[/C][C]3.84906403241716[/C][C]0.0286599919814418[/C][/ROW]
[ROW][C]0.25[/C][C]3.85501726730428[/C][C]0.0319569715637124[/C][/ROW]
[ROW][C]0.26[/C][C]3.86145138831653[/C][C]0.0345829131016336[/C][/ROW]
[ROW][C]0.27[/C][C]3.86824450941864[/C][C]0.0361911708264675[/C][/ROW]
[ROW][C]0.28[/C][C]3.87520922447157[/C][C]0.0365925277885336[/C][/ROW]
[ROW][C]0.29[/C][C]3.88212975999219[/C][C]0.0357679907494157[/C][/ROW]
[ROW][C]0.3[/C][C]3.88879721450412[/C][C]0.0338599273077048[/C][/ROW]
[ROW][C]0.31[/C][C]3.89503911134907[/C][C]0.0311370641791177[/C][/ROW]
[ROW][C]0.32[/C][C]3.90074020586964[/C][C]0.0279461569415238[/C][/ROW]
[ROW][C]0.33[/C][C]3.90585281915351[/C][C]0.0246718493373556[/C][/ROW]
[ROW][C]0.34[/C][C]3.91039659629711[/C][C]0.0216834328977615[/C][/ROW]
[ROW][C]0.35[/C][C]3.91444910506882[/C][C]0.0193050287250606[/C][/ROW]
[ROW][C]0.36[/C][C]3.91812978418967[/C][C]0.0177787615534233[/C][/ROW]
[ROW][C]0.37[/C][C]3.92158027661678[/C][C]0.0172141489494215[/C][/ROW]
[ROW][C]0.38[/C][C]3.92494417391912[/C][C]0.0175488901252176[/C][/ROW]
[ROW][C]0.39[/C][C]3.92834879662253[/C][C]0.0185787822942399[/C][/ROW]
[ROW][C]0.4[/C][C]3.93189101550179[/C][C]0.0200225132761163[/C][/ROW]
[ROW][C]0.41[/C][C]3.93562841968558[/C][C]0.0215928343254065[/C][/ROW]
[ROW][C]0.42[/C][C]3.93957643963501[/C][C]0.0230313214953353[/C][/ROW]
[ROW][C]0.43[/C][C]3.94371136894203[/C][C]0.0241343252419365[/C][/ROW]
[ROW][C]0.44[/C][C]3.94797861224253[/C][C]0.0247608131480594[/C][/ROW]
[ROW][C]0.45[/C][C]3.95230493986175[/C][C]0.0248459786064284[/C][/ROW]
[ROW][C]0.46[/C][C]3.95661309527477[/C][C]0.0244159853516237[/C][/ROW]
[ROW][C]0.47[/C][C]3.96083683272423[/C][C]0.0235768017875773[/C][/ROW]
[ROW][C]0.48[/C][C]3.96493440494803[/C][C]0.0225135081221612[/C][/ROW]
[ROW][C]0.49[/C][C]3.96889869358719[/C][C]0.021465448639997[/C][/ROW]
[ROW][C]0.5[/C][C]3.97276256106662[/C][C]0.0207214501980722[/C][/ROW]
[ROW][C]0.51[/C][C]3.97659855644766[/C][C]0.0205640149231065[/C][/ROW]
[ROW][C]0.52[/C][C]3.98051276721408[/C][C]0.0212312878105713[/C][/ROW]
[ROW][C]0.53[/C][C]3.98463331080154[/C][C]0.022832796986181[/C][/ROW]
[ROW][C]0.54[/C][C]3.98909464495662[/C][C]0.0253227599160113[/C][/ROW]
[ROW][C]0.55[/C][C]3.99401948624036[/C][C]0.0285213449692766[/C][/ROW]
[ROW][C]0.56[/C][C]3.99950059433477[/C][C]0.032147429573326[/C][/ROW]
[ROW][C]0.57[/C][C]4.00558492687726[/C][C]0.035867649492247[/C][/ROW]
[ROW][C]0.58[/C][C]4.01226261259722[/C][C]0.0393125424161712[/C][/ROW]
[ROW][C]0.59[/C][C]4.01946276828349[/C][C]0.0421235739174258[/C][/ROW]
[ROW][C]0.6[/C][C]4.02705739100658[/C][C]0.0440011610359293[/C][/ROW]
[ROW][C]0.61[/C][C]4.03487346608256[/C][C]0.0447294889345567[/C][/ROW]
[ROW][C]0.62[/C][C]4.04271220445014[/C][C]0.0442160891976848[/C][/ROW]
[ROW][C]0.63[/C][C]4.05037317977345[/C][C]0.0425097154187055[/C][/ROW]
[ROW][C]0.64[/C][C]4.05768029786832[/C][C]0.0397981269394728[/C][/ROW]
[ROW][C]0.65[/C][C]4.06450615856888[/C][C]0.0363905346307578[/C][/ROW]
[ROW][C]0.66[/C][C]4.07079151078795[/C][C]0.032692145340441[/C][/ROW]
[ROW][C]0.67[/C][C]4.0765570819929[/C][C]0.0291760521867329[/C][/ROW]
[ROW][C]0.68[/C][C]4.08190592770532[/C][C]0.02634090528796[/C][/ROW]
[ROW][C]0.69[/C][C]4.08701542937254[/C][C]0.0246861103144327[/C][/ROW]
[ROW][C]0.7[/C][C]4.09211906907161[/C][C]0.0245957816587415[/C][/ROW]
[ROW][C]0.71[/C][C]4.09747912600261[/C][C]0.0261997945381367[/C][/ROW]
[ROW][C]0.72[/C][C]4.10335254053381[/C][C]0.0293001474503159[/C][/ROW]
[ROW][C]0.73[/C][C]4.1099534187977[/C][C]0.0334528712750769[/C][/ROW]
[ROW][C]0.74[/C][C]4.11741690325398[/C][C]0.038076157012252[/C][/ROW]
[ROW][C]0.75[/C][C]4.12577009512191[/C][C]0.042521468127032[/C][/ROW]
[ROW][C]0.76[/C][C]4.13491588863117[/C][C]0.0461430089406433[/C][/ROW]
[ROW][C]0.77[/C][C]4.14463446747144[/C][C]0.0483656375694835[/C][/ROW]
[ROW][C]0.78[/C][C]4.15460458726791[/C][C]0.0487720399688345[/C][/ROW]
[ROW][C]0.79[/C][C]4.16444289920627[/C][C]0.0471786710189176[/C][/ROW]
[ROW][C]0.8[/C][C]4.17375532249221[/C][C]0.0436765780845783[/C][/ROW]
[ROW][C]0.81[/C][C]4.18219111748641[/C][C]0.0386099073773545[/C][/ROW]
[ROW][C]0.82[/C][C]4.18948909597127[/C][C]0.0325212824364416[/C][/ROW]
[ROW][C]0.83[/C][C]4.19550703379345[/C][C]0.0260426909456496[/C][/ROW]
[ROW][C]0.84[/C][C]4.20022959838532[/C][C]0.0197827046007686[/C][/ROW]
[ROW][C]0.85[/C][C]4.20375577126628[/C][C]0.014225804812099[/C][/ROW]
[ROW][C]0.86[/C][C]4.2062720106899[/C][C]0.0096839711785336[/C][/ROW]
[ROW][C]0.87[/C][C]4.20802040984464[/C][C]0.00628476438613778[/C][/ROW]
[ROW][C]0.88[/C][C]4.20927057898669[/C][C]0.00403429908971695[/C][/ROW]
[ROW][C]0.89[/C][C]4.21029964923617[/C][C]0.00294858884472581[/C][/ROW]
[ROW][C]0.9[/C][C]4.21137776363371[/C][C]0.00307518225555416[/C][/ROW]
[ROW][C]0.91[/C][C]4.21274954513213[/C][C]0.00414280947813057[/C][/ROW]
[ROW][C]0.92[/C][C]4.21460004170081[/C][C]0.00570946839631996[/C][/ROW]
[ROW][C]0.93[/C][C]4.21700179280755[/C][C]0.00731405513294829[/C][/ROW]
[ROW][C]0.94[/C][C]4.2198593906332[/C][C]0.00838378804857521[/C][/ROW]
[ROW][C]0.95[/C][C]4.22289045284743[/C][C]0.00836513815062192[/C][/ROW]
[ROW][C]0.96[/C][C]4.22568610649892[/C][C]0.00702484024776955[/C][/ROW]
[ROW][C]0.97[/C][C]4.22785844943801[/C][C]0.00471661206865953[/C][/ROW]
[ROW][C]0.98[/C][C]4.22921293379546[/C][C]0.00229994514053845[/C][/ROW]
[ROW][C]0.99[/C][C]4.22983281892886[/C][C]0.000638720259117121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239183&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239183&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.590017840974648.90927006914219e-05
0.023.590134007334220.00058458060300959
0.033.590576813597860.00219197637792117
0.043.591816969127410.00598648599864169
0.053.594611935718160.0131046010798774
0.063.599935771431250.0241965145938136
0.073.608773454212620.0388894550893498
0.083.621829639022060.0555973208726958
0.093.639258034967260.0718018013382598
0.13.660522854582880.0847591109350432
0.113.684453344209850.0922966527861577
0.123.709474390167610.0934028624842409
0.133.733931252933320.0883984760513225
0.143.756402860429070.0786886857627161
0.153.77591884403870.066270878679951
0.163.792042567629770.0531973747036209
0.173.804830754435010.0411796898687605
0.183.814711522389070.0314096293501939
0.193.822330946421980.0245886233669668
0.23.828408760529710.0210114569836528
0.213.833626385026140.0204675769688495
0.223.838554008507980.0221831789138023
0.233.843612793761760.0251867976664282
0.243.849064032417160.0286599919814418
0.253.855017267304280.0319569715637124
0.263.861451388316530.0345829131016336
0.273.868244509418640.0361911708264675
0.283.875209224471570.0365925277885336
0.293.882129759992190.0357679907494157
0.33.888797214504120.0338599273077048
0.313.895039111349070.0311370641791177
0.323.900740205869640.0279461569415238
0.333.905852819153510.0246718493373556
0.343.910396596297110.0216834328977615
0.353.914449105068820.0193050287250606
0.363.918129784189670.0177787615534233
0.373.921580276616780.0172141489494215
0.383.924944173919120.0175488901252176
0.393.928348796622530.0185787822942399
0.43.931891015501790.0200225132761163
0.413.935628419685580.0215928343254065
0.423.939576439635010.0230313214953353
0.433.943711368942030.0241343252419365
0.443.947978612242530.0247608131480594
0.453.952304939861750.0248459786064284
0.463.956613095274770.0244159853516237
0.473.960836832724230.0235768017875773
0.483.964934404948030.0225135081221612
0.493.968898693587190.021465448639997
0.53.972762561066620.0207214501980722
0.513.976598556447660.0205640149231065
0.523.980512767214080.0212312878105713
0.533.984633310801540.022832796986181
0.543.989094644956620.0253227599160113
0.553.994019486240360.0285213449692766
0.563.999500594334770.032147429573326
0.574.005584926877260.035867649492247
0.584.012262612597220.0393125424161712
0.594.019462768283490.0421235739174258
0.64.027057391006580.0440011610359293
0.614.034873466082560.0447294889345567
0.624.042712204450140.0442160891976848
0.634.050373179773450.0425097154187055
0.644.057680297868320.0397981269394728
0.654.064506158568880.0363905346307578
0.664.070791510787950.032692145340441
0.674.07655708199290.0291760521867329
0.684.081905927705320.02634090528796
0.694.087015429372540.0246861103144327
0.74.092119069071610.0245957816587415
0.714.097479126002610.0261997945381367
0.724.103352540533810.0293001474503159
0.734.10995341879770.0334528712750769
0.744.117416903253980.038076157012252
0.754.125770095121910.042521468127032
0.764.134915888631170.0461430089406433
0.774.144634467471440.0483656375694835
0.784.154604587267910.0487720399688345
0.794.164442899206270.0471786710189176
0.84.173755322492210.0436765780845783
0.814.182191117486410.0386099073773545
0.824.189489095971270.0325212824364416
0.834.195507033793450.0260426909456496
0.844.200229598385320.0197827046007686
0.854.203755771266280.014225804812099
0.864.20627201068990.0096839711785336
0.874.208020409844640.00628476438613778
0.884.209270578986690.00403429908971695
0.894.210299649236170.00294858884472581
0.94.211377763633710.00307518225555416
0.914.212749545132130.00414280947813057
0.924.214600041700810.00570946839631996
0.934.217001792807550.00731405513294829
0.944.21985939063320.00838378804857521
0.954.222890452847430.00836513815062192
0.964.225686106498920.00702484024776955
0.974.227858449438010.00471661206865953
0.984.229212933795460.00229994514053845
0.994.229832818928860.000638720259117121



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')