FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 16 Oct 2009 12:16:55 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/16/t1255717136npfjnuihuoumdim.htm/, Retrieved Tue, 30 Apr 2024 03:47:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47066, Retrieved Tue, 30 Apr 2024 03:47:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [workshop 3] [2009-10-16 18:16:55] [f7d3e79b917995ba1c8c80042fc22ef9] [Current]
- RMPD          [Exercise 1.13] [ws 1] [2009-10-17 10:06:09] [b5908418e3090fddbd22f5f0f774653d]
- RMPD          [Exercise 1.13] [ws 1] [2009-10-17 10:10:49] [b5908418e3090fddbd22f5f0f774653d]
- RMPD          [Exercise 1.13] [ws 1] [2009-10-17 10:16:22] [b5908418e3090fddbd22f5f0f774653d]
- RMPD          [Exercise 1.13] [ws 1] [2009-10-17 10:25:55] [b5908418e3090fddbd22f5f0f774653d]
-  M D          [Harrell-Davis Quantiles] [ws 3] [2009-11-14 15:31:12] [b5908418e3090fddbd22f5f0f774653d]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-95.16510753
-93.65973118
-92.64304598
-92.78378049
-93.85548193
-94.38205882
-94.58383721
-93.535
-93.16182927
-92.93253086
-91.54512658
-95.63034884
-94.81545977
-92.88442529
-92.935
-92.72309524
-93.80558824
-94.18327586
-94.16028736
-92.53732558
-93.25264706
-92.28921687
-91.3725
-94.93012195
-93.45104938
-91.52512346
-90.985
-91.63373418
-92.15272152
-92.5725
-92.5725
-90.81094937
-91.96
-91.1375974
-89.41555556
-93.335
-91.55691781
-89.12071429
-88.59214286
-89.40642857
-91.19333333
-90.69390411
-89.87584507
-88.91147059
-87.656875
-86.93172131
-87.51961538
-93.41032468
-92.59575949
-90.38833333
-89.25673913
-89.97742424
-92.06833333
-93.72201299
-94.085
-92.6475
-93.52720779
-92.29664384
-91.85662162
-95.56216049

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47066&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47066&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47066&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-95.58801207744770.135278606347082
0.02-95.50479192977940.22935714350944
0.03-95.38982361357340.299658911386609
0.04-95.25753685383470.333835885361727
0.05-95.12083278618150.343023409685931
0.06-94.98798068520680.342424757798596
0.07-94.86267912258250.340744962688272
0.08-94.74565648072520.339790848331513
0.09-94.63636443693790.338006680066524
0.1-94.5340536292550.333593516742291
0.11-94.43817781482770.32620874102945
0.12-94.34838494499820.316614977447804
0.13-94.2643737441210.306054143494394
0.14-94.1857835371740.29573059061061
0.15-94.11216768706920.286240615745653
0.16-94.0430299512490.277703491112547
0.17-93.9778809099360.270019309168296
0.18-93.91628015728120.262667781326638
0.19-93.85784944764230.255480757605171
0.2-93.80225925416850.24867185204597
0.21-93.74920066833660.242318497137048
0.22-93.69835625865140.236893097204837
0.23-93.6493801598220.232866782823486
0.24-93.60189245079420.230626536361206
0.25-93.55548809811450.230371761649558
0.26-93.50975746686760.232252901692026
0.27-93.46431375131880.235952065780055
0.28-93.41882228078060.241112159581778
0.29-93.37302705643870.247346542233682
0.3-93.32677073603220.253816324598073
0.31-93.2800054181430.259965227038832
0.32-93.23279287860730.265064163654544
0.33-93.1852942708380.268516507312631
0.34-93.1377505755340.270006569361102
0.35-93.09045610753650.269284728888742
0.36-93.04372801786040.266303131228941
0.37-92.9978748997030.261308417446005
0.38-92.9531673482950.25458555652049
0.39-92.90981275277010.246675051035467
0.4-92.86793587925830.238030601310915
0.41-92.82756610055160.229361264895650
0.42-92.78863155303810.221367840860570
0.43-92.75096009774110.214479270091135
0.44-92.71428670121670.209584645321604
0.45-92.67826666231460.207011067110329
0.46-92.64249391549780.207024255042823
0.47-92.60652339350520.210184746867431
0.48-92.56989613469270.216270769591951
0.49-92.53216552571370.225037635927368
0.5-92.4929228591750.23607437771891
0.51-92.45182033635430.248986485324961
0.52-92.4085898008690.263030294015548
0.53-92.3630558419120.277649695370036
0.54-92.31514239533560.292034151839814
0.55-92.26487250572260.305754247150204
0.56-92.21236140065810.318153608796901
0.57-92.15780340883110.328890691891617
0.58-92.10145351555480.337669826540145
0.59-92.04360453037870.344256165951075
0.6-91.98456100498950.348755744937671
0.61-91.92461123903990.351231074155786
0.62-91.86399895650910.351932576617946
0.63-91.80289647449490.351435771440668
0.64-91.7413813188720.35027270749186
0.65-91.67941815479290.349270127212973
0.66-91.6168475261430.349156838140213
0.67-91.55338226166240.350646872318949
0.68-91.48861164505710.354505758800242
0.69-91.4220127890090.361204447194461
0.7-91.35296834164780.37116213043714
0.71-91.28078984716560.384640540695126
0.72-91.2047467575490.40160977189284
0.73-91.12410199593460.421924156029055
0.74-91.03815564299860.445234775253099
0.75-90.94629819847060.470958221834874
0.76-90.84807348151980.498038125296906
0.77-90.74324837168710.525188176384493
0.78-90.63188247963650.550849603106652
0.79-90.51438618220820.572986104432208
0.8-90.39155137367830.589629545014574
0.81-90.26453708020480.598862969979173
0.82-90.1347929354030.59926368394094
0.83-90.00390813765470.59020761890225
0.84-89.87338195513730.572040648354984
0.85-89.74432364320570.546524619735287
0.86-89.61710448291910.516862951458496
0.87-89.49100349934970.487806464574598
0.88-89.3639140863590.465208878138928
0.89-89.23221369942060.455724365800096
0.9-89.09093692257650.4651130710854
0.91-88.93440426684670.495858250259329
0.92-88.7573807202390.544096565656833
0.93-88.55659124382250.59805511166607
0.94-88.33201534092540.639087923895332
0.95-88.08711549316120.646997003132287
0.96-87.82773073527430.61168408808741
0.97-87.56141437027440.548987850056923
0.98-87.30128534413840.507581202480916
0.99-87.07575685385150.528283941985637

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -95.5880120774477 & 0.135278606347082 \tabularnewline
0.02 & -95.5047919297794 & 0.22935714350944 \tabularnewline
0.03 & -95.3898236135734 & 0.299658911386609 \tabularnewline
0.04 & -95.2575368538347 & 0.333835885361727 \tabularnewline
0.05 & -95.1208327861815 & 0.343023409685931 \tabularnewline
0.06 & -94.9879806852068 & 0.342424757798596 \tabularnewline
0.07 & -94.8626791225825 & 0.340744962688272 \tabularnewline
0.08 & -94.7456564807252 & 0.339790848331513 \tabularnewline
0.09 & -94.6363644369379 & 0.338006680066524 \tabularnewline
0.1 & -94.534053629255 & 0.333593516742291 \tabularnewline
0.11 & -94.4381778148277 & 0.32620874102945 \tabularnewline
0.12 & -94.3483849449982 & 0.316614977447804 \tabularnewline
0.13 & -94.264373744121 & 0.306054143494394 \tabularnewline
0.14 & -94.185783537174 & 0.29573059061061 \tabularnewline
0.15 & -94.1121676870692 & 0.286240615745653 \tabularnewline
0.16 & -94.043029951249 & 0.277703491112547 \tabularnewline
0.17 & -93.977880909936 & 0.270019309168296 \tabularnewline
0.18 & -93.9162801572812 & 0.262667781326638 \tabularnewline
0.19 & -93.8578494476423 & 0.255480757605171 \tabularnewline
0.2 & -93.8022592541685 & 0.24867185204597 \tabularnewline
0.21 & -93.7492006683366 & 0.242318497137048 \tabularnewline
0.22 & -93.6983562586514 & 0.236893097204837 \tabularnewline
0.23 & -93.649380159822 & 0.232866782823486 \tabularnewline
0.24 & -93.6018924507942 & 0.230626536361206 \tabularnewline
0.25 & -93.5554880981145 & 0.230371761649558 \tabularnewline
0.26 & -93.5097574668676 & 0.232252901692026 \tabularnewline
0.27 & -93.4643137513188 & 0.235952065780055 \tabularnewline
0.28 & -93.4188222807806 & 0.241112159581778 \tabularnewline
0.29 & -93.3730270564387 & 0.247346542233682 \tabularnewline
0.3 & -93.3267707360322 & 0.253816324598073 \tabularnewline
0.31 & -93.280005418143 & 0.259965227038832 \tabularnewline
0.32 & -93.2327928786073 & 0.265064163654544 \tabularnewline
0.33 & -93.185294270838 & 0.268516507312631 \tabularnewline
0.34 & -93.137750575534 & 0.270006569361102 \tabularnewline
0.35 & -93.0904561075365 & 0.269284728888742 \tabularnewline
0.36 & -93.0437280178604 & 0.266303131228941 \tabularnewline
0.37 & -92.997874899703 & 0.261308417446005 \tabularnewline
0.38 & -92.953167348295 & 0.25458555652049 \tabularnewline
0.39 & -92.9098127527701 & 0.246675051035467 \tabularnewline
0.4 & -92.8679358792583 & 0.238030601310915 \tabularnewline
0.41 & -92.8275661005516 & 0.229361264895650 \tabularnewline
0.42 & -92.7886315530381 & 0.221367840860570 \tabularnewline
0.43 & -92.7509600977411 & 0.214479270091135 \tabularnewline
0.44 & -92.7142867012167 & 0.209584645321604 \tabularnewline
0.45 & -92.6782666623146 & 0.207011067110329 \tabularnewline
0.46 & -92.6424939154978 & 0.207024255042823 \tabularnewline
0.47 & -92.6065233935052 & 0.210184746867431 \tabularnewline
0.48 & -92.5698961346927 & 0.216270769591951 \tabularnewline
0.49 & -92.5321655257137 & 0.225037635927368 \tabularnewline
0.5 & -92.492922859175 & 0.23607437771891 \tabularnewline
0.51 & -92.4518203363543 & 0.248986485324961 \tabularnewline
0.52 & -92.408589800869 & 0.263030294015548 \tabularnewline
0.53 & -92.363055841912 & 0.277649695370036 \tabularnewline
0.54 & -92.3151423953356 & 0.292034151839814 \tabularnewline
0.55 & -92.2648725057226 & 0.305754247150204 \tabularnewline
0.56 & -92.2123614006581 & 0.318153608796901 \tabularnewline
0.57 & -92.1578034088311 & 0.328890691891617 \tabularnewline
0.58 & -92.1014535155548 & 0.337669826540145 \tabularnewline
0.59 & -92.0436045303787 & 0.344256165951075 \tabularnewline
0.6 & -91.9845610049895 & 0.348755744937671 \tabularnewline
0.61 & -91.9246112390399 & 0.351231074155786 \tabularnewline
0.62 & -91.8639989565091 & 0.351932576617946 \tabularnewline
0.63 & -91.8028964744949 & 0.351435771440668 \tabularnewline
0.64 & -91.741381318872 & 0.35027270749186 \tabularnewline
0.65 & -91.6794181547929 & 0.349270127212973 \tabularnewline
0.66 & -91.616847526143 & 0.349156838140213 \tabularnewline
0.67 & -91.5533822616624 & 0.350646872318949 \tabularnewline
0.68 & -91.4886116450571 & 0.354505758800242 \tabularnewline
0.69 & -91.422012789009 & 0.361204447194461 \tabularnewline
0.7 & -91.3529683416478 & 0.37116213043714 \tabularnewline
0.71 & -91.2807898471656 & 0.384640540695126 \tabularnewline
0.72 & -91.204746757549 & 0.40160977189284 \tabularnewline
0.73 & -91.1241019959346 & 0.421924156029055 \tabularnewline
0.74 & -91.0381556429986 & 0.445234775253099 \tabularnewline
0.75 & -90.9462981984706 & 0.470958221834874 \tabularnewline
0.76 & -90.8480734815198 & 0.498038125296906 \tabularnewline
0.77 & -90.7432483716871 & 0.525188176384493 \tabularnewline
0.78 & -90.6318824796365 & 0.550849603106652 \tabularnewline
0.79 & -90.5143861822082 & 0.572986104432208 \tabularnewline
0.8 & -90.3915513736783 & 0.589629545014574 \tabularnewline
0.81 & -90.2645370802048 & 0.598862969979173 \tabularnewline
0.82 & -90.134792935403 & 0.59926368394094 \tabularnewline
0.83 & -90.0039081376547 & 0.59020761890225 \tabularnewline
0.84 & -89.8733819551373 & 0.572040648354984 \tabularnewline
0.85 & -89.7443236432057 & 0.546524619735287 \tabularnewline
0.86 & -89.6171044829191 & 0.516862951458496 \tabularnewline
0.87 & -89.4910034993497 & 0.487806464574598 \tabularnewline
0.88 & -89.363914086359 & 0.465208878138928 \tabularnewline
0.89 & -89.2322136994206 & 0.455724365800096 \tabularnewline
0.9 & -89.0909369225765 & 0.4651130710854 \tabularnewline
0.91 & -88.9344042668467 & 0.495858250259329 \tabularnewline
0.92 & -88.757380720239 & 0.544096565656833 \tabularnewline
0.93 & -88.5565912438225 & 0.59805511166607 \tabularnewline
0.94 & -88.3320153409254 & 0.639087923895332 \tabularnewline
0.95 & -88.0871154931612 & 0.646997003132287 \tabularnewline
0.96 & -87.8277307352743 & 0.61168408808741 \tabularnewline
0.97 & -87.5614143702744 & 0.548987850056923 \tabularnewline
0.98 & -87.3012853441384 & 0.507581202480916 \tabularnewline
0.99 & -87.0757568538515 & 0.528283941985637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47066&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]-95.5880120774477[/C][C]0.135278606347082[/C][/ROW]
[ROW][C]0.02[/C][C]-95.5047919297794[/C][C]0.22935714350944[/C][/ROW]
[ROW][C]0.03[/C][C]-95.3898236135734[/C][C]0.299658911386609[/C][/ROW]
[ROW][C]0.04[/C][C]-95.2575368538347[/C][C]0.333835885361727[/C][/ROW]
[ROW][C]0.05[/C][C]-95.1208327861815[/C][C]0.343023409685931[/C][/ROW]
[ROW][C]0.06[/C][C]-94.9879806852068[/C][C]0.342424757798596[/C][/ROW]
[ROW][C]0.07[/C][C]-94.8626791225825[/C][C]0.340744962688272[/C][/ROW]
[ROW][C]0.08[/C][C]-94.7456564807252[/C][C]0.339790848331513[/C][/ROW]
[ROW][C]0.09[/C][C]-94.6363644369379[/C][C]0.338006680066524[/C][/ROW]
[ROW][C]0.1[/C][C]-94.534053629255[/C][C]0.333593516742291[/C][/ROW]
[ROW][C]0.11[/C][C]-94.4381778148277[/C][C]0.32620874102945[/C][/ROW]
[ROW][C]0.12[/C][C]-94.3483849449982[/C][C]0.316614977447804[/C][/ROW]
[ROW][C]0.13[/C][C]-94.264373744121[/C][C]0.306054143494394[/C][/ROW]
[ROW][C]0.14[/C][C]-94.185783537174[/C][C]0.29573059061061[/C][/ROW]
[ROW][C]0.15[/C][C]-94.1121676870692[/C][C]0.286240615745653[/C][/ROW]
[ROW][C]0.16[/C][C]-94.043029951249[/C][C]0.277703491112547[/C][/ROW]
[ROW][C]0.17[/C][C]-93.977880909936[/C][C]0.270019309168296[/C][/ROW]
[ROW][C]0.18[/C][C]-93.9162801572812[/C][C]0.262667781326638[/C][/ROW]
[ROW][C]0.19[/C][C]-93.8578494476423[/C][C]0.255480757605171[/C][/ROW]
[ROW][C]0.2[/C][C]-93.8022592541685[/C][C]0.24867185204597[/C][/ROW]
[ROW][C]0.21[/C][C]-93.7492006683366[/C][C]0.242318497137048[/C][/ROW]
[ROW][C]0.22[/C][C]-93.6983562586514[/C][C]0.236893097204837[/C][/ROW]
[ROW][C]0.23[/C][C]-93.649380159822[/C][C]0.232866782823486[/C][/ROW]
[ROW][C]0.24[/C][C]-93.6018924507942[/C][C]0.230626536361206[/C][/ROW]
[ROW][C]0.25[/C][C]-93.5554880981145[/C][C]0.230371761649558[/C][/ROW]
[ROW][C]0.26[/C][C]-93.5097574668676[/C][C]0.232252901692026[/C][/ROW]
[ROW][C]0.27[/C][C]-93.4643137513188[/C][C]0.235952065780055[/C][/ROW]
[ROW][C]0.28[/C][C]-93.4188222807806[/C][C]0.241112159581778[/C][/ROW]
[ROW][C]0.29[/C][C]-93.3730270564387[/C][C]0.247346542233682[/C][/ROW]
[ROW][C]0.3[/C][C]-93.3267707360322[/C][C]0.253816324598073[/C][/ROW]
[ROW][C]0.31[/C][C]-93.280005418143[/C][C]0.259965227038832[/C][/ROW]
[ROW][C]0.32[/C][C]-93.2327928786073[/C][C]0.265064163654544[/C][/ROW]
[ROW][C]0.33[/C][C]-93.185294270838[/C][C]0.268516507312631[/C][/ROW]
[ROW][C]0.34[/C][C]-93.137750575534[/C][C]0.270006569361102[/C][/ROW]
[ROW][C]0.35[/C][C]-93.0904561075365[/C][C]0.269284728888742[/C][/ROW]
[ROW][C]0.36[/C][C]-93.0437280178604[/C][C]0.266303131228941[/C][/ROW]
[ROW][C]0.37[/C][C]-92.997874899703[/C][C]0.261308417446005[/C][/ROW]
[ROW][C]0.38[/C][C]-92.953167348295[/C][C]0.25458555652049[/C][/ROW]
[ROW][C]0.39[/C][C]-92.9098127527701[/C][C]0.246675051035467[/C][/ROW]
[ROW][C]0.4[/C][C]-92.8679358792583[/C][C]0.238030601310915[/C][/ROW]
[ROW][C]0.41[/C][C]-92.8275661005516[/C][C]0.229361264895650[/C][/ROW]
[ROW][C]0.42[/C][C]-92.7886315530381[/C][C]0.221367840860570[/C][/ROW]
[ROW][C]0.43[/C][C]-92.7509600977411[/C][C]0.214479270091135[/C][/ROW]
[ROW][C]0.44[/C][C]-92.7142867012167[/C][C]0.209584645321604[/C][/ROW]
[ROW][C]0.45[/C][C]-92.6782666623146[/C][C]0.207011067110329[/C][/ROW]
[ROW][C]0.46[/C][C]-92.6424939154978[/C][C]0.207024255042823[/C][/ROW]
[ROW][C]0.47[/C][C]-92.6065233935052[/C][C]0.210184746867431[/C][/ROW]
[ROW][C]0.48[/C][C]-92.5698961346927[/C][C]0.216270769591951[/C][/ROW]
[ROW][C]0.49[/C][C]-92.5321655257137[/C][C]0.225037635927368[/C][/ROW]
[ROW][C]0.5[/C][C]-92.492922859175[/C][C]0.23607437771891[/C][/ROW]
[ROW][C]0.51[/C][C]-92.4518203363543[/C][C]0.248986485324961[/C][/ROW]
[ROW][C]0.52[/C][C]-92.408589800869[/C][C]0.263030294015548[/C][/ROW]
[ROW][C]0.53[/C][C]-92.363055841912[/C][C]0.277649695370036[/C][/ROW]
[ROW][C]0.54[/C][C]-92.3151423953356[/C][C]0.292034151839814[/C][/ROW]
[ROW][C]0.55[/C][C]-92.2648725057226[/C][C]0.305754247150204[/C][/ROW]
[ROW][C]0.56[/C][C]-92.2123614006581[/C][C]0.318153608796901[/C][/ROW]
[ROW][C]0.57[/C][C]-92.1578034088311[/C][C]0.328890691891617[/C][/ROW]
[ROW][C]0.58[/C][C]-92.1014535155548[/C][C]0.337669826540145[/C][/ROW]
[ROW][C]0.59[/C][C]-92.0436045303787[/C][C]0.344256165951075[/C][/ROW]
[ROW][C]0.6[/C][C]-91.9845610049895[/C][C]0.348755744937671[/C][/ROW]
[ROW][C]0.61[/C][C]-91.9246112390399[/C][C]0.351231074155786[/C][/ROW]
[ROW][C]0.62[/C][C]-91.8639989565091[/C][C]0.351932576617946[/C][/ROW]
[ROW][C]0.63[/C][C]-91.8028964744949[/C][C]0.351435771440668[/C][/ROW]
[ROW][C]0.64[/C][C]-91.741381318872[/C][C]0.35027270749186[/C][/ROW]
[ROW][C]0.65[/C][C]-91.6794181547929[/C][C]0.349270127212973[/C][/ROW]
[ROW][C]0.66[/C][C]-91.616847526143[/C][C]0.349156838140213[/C][/ROW]
[ROW][C]0.67[/C][C]-91.5533822616624[/C][C]0.350646872318949[/C][/ROW]
[ROW][C]0.68[/C][C]-91.4886116450571[/C][C]0.354505758800242[/C][/ROW]
[ROW][C]0.69[/C][C]-91.422012789009[/C][C]0.361204447194461[/C][/ROW]
[ROW][C]0.7[/C][C]-91.3529683416478[/C][C]0.37116213043714[/C][/ROW]
[ROW][C]0.71[/C][C]-91.2807898471656[/C][C]0.384640540695126[/C][/ROW]
[ROW][C]0.72[/C][C]-91.204746757549[/C][C]0.40160977189284[/C][/ROW]
[ROW][C]0.73[/C][C]-91.1241019959346[/C][C]0.421924156029055[/C][/ROW]
[ROW][C]0.74[/C][C]-91.0381556429986[/C][C]0.445234775253099[/C][/ROW]
[ROW][C]0.75[/C][C]-90.9462981984706[/C][C]0.470958221834874[/C][/ROW]
[ROW][C]0.76[/C][C]-90.8480734815198[/C][C]0.498038125296906[/C][/ROW]
[ROW][C]0.77[/C][C]-90.7432483716871[/C][C]0.525188176384493[/C][/ROW]
[ROW][C]0.78[/C][C]-90.6318824796365[/C][C]0.550849603106652[/C][/ROW]
[ROW][C]0.79[/C][C]-90.5143861822082[/C][C]0.572986104432208[/C][/ROW]
[ROW][C]0.8[/C][C]-90.3915513736783[/C][C]0.589629545014574[/C][/ROW]
[ROW][C]0.81[/C][C]-90.2645370802048[/C][C]0.598862969979173[/C][/ROW]
[ROW][C]0.82[/C][C]-90.134792935403[/C][C]0.59926368394094[/C][/ROW]
[ROW][C]0.83[/C][C]-90.0039081376547[/C][C]0.59020761890225[/C][/ROW]
[ROW][C]0.84[/C][C]-89.8733819551373[/C][C]0.572040648354984[/C][/ROW]
[ROW][C]0.85[/C][C]-89.7443236432057[/C][C]0.546524619735287[/C][/ROW]
[ROW][C]0.86[/C][C]-89.6171044829191[/C][C]0.516862951458496[/C][/ROW]
[ROW][C]0.87[/C][C]-89.4910034993497[/C][C]0.487806464574598[/C][/ROW]
[ROW][C]0.88[/C][C]-89.363914086359[/C][C]0.465208878138928[/C][/ROW]
[ROW][C]0.89[/C][C]-89.2322136994206[/C][C]0.455724365800096[/C][/ROW]
[ROW][C]0.9[/C][C]-89.0909369225765[/C][C]0.4651130710854[/C][/ROW]
[ROW][C]0.91[/C][C]-88.9344042668467[/C][C]0.495858250259329[/C][/ROW]
[ROW][C]0.92[/C][C]-88.757380720239[/C][C]0.544096565656833[/C][/ROW]
[ROW][C]0.93[/C][C]-88.5565912438225[/C][C]0.59805511166607[/C][/ROW]
[ROW][C]0.94[/C][C]-88.3320153409254[/C][C]0.639087923895332[/C][/ROW]
[ROW][C]0.95[/C][C]-88.0871154931612[/C][C]0.646997003132287[/C][/ROW]
[ROW][C]0.96[/C][C]-87.8277307352743[/C][C]0.61168408808741[/C][/ROW]
[ROW][C]0.97[/C][C]-87.5614143702744[/C][C]0.548987850056923[/C][/ROW]
[ROW][C]0.98[/C][C]-87.3012853441384[/C][C]0.507581202480916[/C][/ROW]
[ROW][C]0.99[/C][C]-87.0757568538515[/C][C]0.528283941985637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47066&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47066&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
0.01-95.58801207744770.135278606347082
0.02-95.50479192977940.22935714350944
0.03-95.38982361357340.299658911386609
0.04-95.25753685383470.333835885361727
0.05-95.12083278618150.343023409685931
0.06-94.98798068520680.342424757798596
0.07-94.86267912258250.340744962688272
0.08-94.74565648072520.339790848331513
0.09-94.63636443693790.338006680066524
0.1-94.5340536292550.333593516742291
0.11-94.43817781482770.32620874102945
0.12-94.34838494499820.316614977447804
0.13-94.2643737441210.306054143494394
0.14-94.1857835371740.29573059061061
0.15-94.11216768706920.286240615745653
0.16-94.0430299512490.277703491112547
0.17-93.9778809099360.270019309168296
0.18-93.91628015728120.262667781326638
0.19-93.85784944764230.255480757605171
0.2-93.80225925416850.24867185204597
0.21-93.74920066833660.242318497137048
0.22-93.69835625865140.236893097204837
0.23-93.6493801598220.232866782823486
0.24-93.60189245079420.230626536361206
0.25-93.55548809811450.230371761649558
0.26-93.50975746686760.232252901692026
0.27-93.46431375131880.235952065780055
0.28-93.41882228078060.241112159581778
0.29-93.37302705643870.247346542233682
0.3-93.32677073603220.253816324598073
0.31-93.2800054181430.259965227038832
0.32-93.23279287860730.265064163654544
0.33-93.1852942708380.268516507312631
0.34-93.1377505755340.270006569361102
0.35-93.09045610753650.269284728888742
0.36-93.04372801786040.266303131228941
0.37-92.9978748997030.261308417446005
0.38-92.9531673482950.25458555652049
0.39-92.90981275277010.246675051035467
0.4-92.86793587925830.238030601310915
0.41-92.82756610055160.229361264895650
0.42-92.78863155303810.221367840860570
0.43-92.75096009774110.214479270091135
0.44-92.71428670121670.209584645321604
0.45-92.67826666231460.207011067110329
0.46-92.64249391549780.207024255042823
0.47-92.60652339350520.210184746867431
0.48-92.56989613469270.216270769591951
0.49-92.53216552571370.225037635927368
0.5-92.4929228591750.23607437771891
0.51-92.45182033635430.248986485324961
0.52-92.4085898008690.263030294015548
0.53-92.3630558419120.277649695370036
0.54-92.31514239533560.292034151839814
0.55-92.26487250572260.305754247150204
0.56-92.21236140065810.318153608796901
0.57-92.15780340883110.328890691891617
0.58-92.10145351555480.337669826540145
0.59-92.04360453037870.344256165951075
0.6-91.98456100498950.348755744937671
0.61-91.92461123903990.351231074155786
0.62-91.86399895650910.351932576617946
0.63-91.80289647449490.351435771440668
0.64-91.7413813188720.35027270749186
0.65-91.67941815479290.349270127212973
0.66-91.6168475261430.349156838140213
0.67-91.55338226166240.350646872318949
0.68-91.48861164505710.354505758800242
0.69-91.4220127890090.361204447194461
0.7-91.35296834164780.37116213043714
0.71-91.28078984716560.384640540695126
0.72-91.2047467575490.40160977189284
0.73-91.12410199593460.421924156029055
0.74-91.03815564299860.445234775253099
0.75-90.94629819847060.470958221834874
0.76-90.84807348151980.498038125296906
0.77-90.74324837168710.525188176384493
0.78-90.63188247963650.550849603106652
0.79-90.51438618220820.572986104432208
0.8-90.39155137367830.589629545014574
0.81-90.26453708020480.598862969979173
0.82-90.1347929354030.59926368394094
0.83-90.00390813765470.59020761890225
0.84-89.87338195513730.572040648354984
0.85-89.74432364320570.546524619735287
0.86-89.61710448291910.516862951458496
0.87-89.49100349934970.487806464574598
0.88-89.3639140863590.465208878138928
0.89-89.23221369942060.455724365800096
0.9-89.09093692257650.4651130710854
0.91-88.93440426684670.495858250259329
0.92-88.7573807202390.544096565656833
0.93-88.55659124382250.59805511166607
0.94-88.33201534092540.639087923895332
0.95-88.08711549316120.646997003132287
0.96-87.82773073527430.61168408808741
0.97-87.56141437027440.548987850056923
0.98-87.30128534413840.507581202480916
0.99-87.07575685385150.528283941985637


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')