FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 01 Mar 2008 05:45:57 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t12043756428q6huz0dop9c7mk.htm/, Retrieved Thu, 27 Aug 2026 18:05:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9349, Retrieved Thu, 27 Aug 2026 18:05:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact622

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] [percentielen evol...] [2008-03-01 12:45:57] [b410a83c5378683dfcb81b0901d2d85a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24.65
25.24
25.56
25.9
25.87
25.78
25.78
25.74
25.78
25.73
24.67
24.31
24.56
25
25.38
25.99
26.22
26.19
26.22
26.22
26.61
26.72
25.46
25.48
25.59
25.88
26
26.97
27.2
27.19
27.19
27.19
27.26
26.9
26.11
25.87
26.02
26.31
26.37
26.52
26.86
26.92
26.98
26.98
27.03
26.75
26.39
26.3
26.3
26.52
26.53
26.98
27.22
27.34
27.41
27.47
27.46
27.53
27.21
26.91
26.95
26.91
27.39
27.62
27.79
27.88
27.9
28.09
28.46
28.73
27.93
27.61

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9349&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 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=9349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9349&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.38338042367270.210038140451372
0.0224.49057603207180.179652083557868
0.0324.60211987221210.189775045232184
0.0424.71140488733390.231726081801858
0.0524.82198185549160.275941475023317
0.0624.93525849586270.302611822722074
0.0725.04800215829130.305674442616349
0.0825.15498635579010.289089749122999
0.0925.25189819065670.261417330204578
0.125.33668384349970.231155186322384
0.1125.4094580905430.204073545668743
0.1225.47170628738610.182659906314805
0.1325.52541117673270.166631539501319
0.1425.57243668456030.154412013880941
0.1525.61424144262120.144281286166596
0.1625.65184956313810.135070446417037
0.1725.68596130940000.126397302466333
0.1825.71710115124040.118482898003883
0.1925.74573888645170.111836708328098
0.225.77235791605120.107029882245594
0.2125.79747235606060.104408057380041
0.2225.8216088253270.104105834603266
0.2325.8452717529490.105926765053991
0.2425.8689072832050.109504699325672
0.2525.89287469882160.114331747289881
0.2625.91742882522110.119910504180003
0.2725.94271350347220.125732287200395
0.2825.96876488871330.131247402956528
0.2925.99552322749870.136044072883317
0.326.02285195838120.139778259817716
0.3126.05056285258570.142240760528382
0.3226.07844531943280.143406555433340
0.3326.10629717419620.143379387148795
0.3426.13395350308780.142471380801102
0.3526.16131011633480.141101539560616
0.3626.18833862400760.139810075410663
0.3726.21509133440990.139069634781787
0.3826.24169570162460.139283864252537
0.3926.26833958035570.140787280860221
0.426.29524974293690.143748662259601
0.4126.32266674900400.148113612652007
0.4226.35081927247040.153700806142095
0.4326.3799004882090.160200519028027
0.4426.41004832507120.167256283113678
0.4526.44133056613950.174378409305079
0.4626.47373514364540.181116855929402
0.4726.50716565235770.187001090869257
0.4826.54144207724840.191639477784612
0.4926.57630686866840.194549093118443
0.526.61143660782870.195381799007864
0.5126.64645940372620.193980080711011
0.5226.68097774559780.190184624730979
0.5326.71459581969920.184084418904419
0.5426.74694942454290.175868309849120
0.5526.77773580337220.165964414941553
0.5626.80674018611790.15495197196516
0.5726.83385576503710.143460616189819
0.5826.85909428170920.132185376863676
0.5926.88258532720620.121878388097993
0.626.90456371749090.113148147079409
0.6126.92534573352090.106462361547895
0.6226.94529644906900.102167284819958
0.6326.96479166981910.100183206345190
0.6426.98417904041540.100221652730856
0.6527.00374348110980.101768808603969
0.6627.02368209267670.10413274892108
0.6727.04409281307270.106648880297851
0.6827.06497930243550.108670572599425
0.6927.08627185776440.109852627403037
0.727.10786099331580.109964661937260
0.7127.1296373437860.109192387948128
0.7227.15152960326870.107783366104762
0.7327.17353207827480.106317209555383
0.7427.19571550970890.105318501136048
0.7527.21821889441550.105210368366707
0.7627.2412252136910.10616577703648
0.7727.26492883594580.108115103135113
0.7827.28950535363640.110711904272384
0.7927.31509456026720.113561014793314
0.827.34180379774610.116336037935356
0.8127.36973263274050.118908579979251
0.8227.39901223083320.121454613523533
0.8327.42984580807310.124349571769280
0.8427.46253208695140.128103790821307
0.8527.4974536018330.133146239280141
0.8627.53501800645910.139544135806355
0.8727.57555569627480.146813904935746
0.8827.61920315755220.153853590376467
0.8927.66583715904250.159091673660844
0.927.71516011599130.161100147169948
0.9127.76704744210490.159411047638936
0.9227.82221473485240.155864936447855
0.9327.88310547535020.15564796270632
0.9427.95462954454320.166954337770224
0.9528.04406948794830.195977682310320
0.9628.15925756640180.238903709189784
0.9728.30407579260800.278588370334507
0.9828.47053833644460.292953832965381
0.9928.62916395698570.279620926498661

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 24.3833804236727 & 0.210038140451372 \tabularnewline
0.02 & 24.4905760320718 & 0.179652083557868 \tabularnewline
0.03 & 24.6021198722121 & 0.189775045232184 \tabularnewline
0.04 & 24.7114048873339 & 0.231726081801858 \tabularnewline
0.05 & 24.8219818554916 & 0.275941475023317 \tabularnewline
0.06 & 24.9352584958627 & 0.302611822722074 \tabularnewline
0.07 & 25.0480021582913 & 0.305674442616349 \tabularnewline
0.08 & 25.1549863557901 & 0.289089749122999 \tabularnewline
0.09 & 25.2518981906567 & 0.261417330204578 \tabularnewline
0.1 & 25.3366838434997 & 0.231155186322384 \tabularnewline
0.11 & 25.409458090543 & 0.204073545668743 \tabularnewline
0.12 & 25.4717062873861 & 0.182659906314805 \tabularnewline
0.13 & 25.5254111767327 & 0.166631539501319 \tabularnewline
0.14 & 25.5724366845603 & 0.154412013880941 \tabularnewline
0.15 & 25.6142414426212 & 0.144281286166596 \tabularnewline
0.16 & 25.6518495631381 & 0.135070446417037 \tabularnewline
0.17 & 25.6859613094000 & 0.126397302466333 \tabularnewline
0.18 & 25.7171011512404 & 0.118482898003883 \tabularnewline
0.19 & 25.7457388864517 & 0.111836708328098 \tabularnewline
0.2 & 25.7723579160512 & 0.107029882245594 \tabularnewline
0.21 & 25.7974723560606 & 0.104408057380041 \tabularnewline
0.22 & 25.821608825327 & 0.104105834603266 \tabularnewline
0.23 & 25.845271752949 & 0.105926765053991 \tabularnewline
0.24 & 25.868907283205 & 0.109504699325672 \tabularnewline
0.25 & 25.8928746988216 & 0.114331747289881 \tabularnewline
0.26 & 25.9174288252211 & 0.119910504180003 \tabularnewline
0.27 & 25.9427135034722 & 0.125732287200395 \tabularnewline
0.28 & 25.9687648887133 & 0.131247402956528 \tabularnewline
0.29 & 25.9955232274987 & 0.136044072883317 \tabularnewline
0.3 & 26.0228519583812 & 0.139778259817716 \tabularnewline
0.31 & 26.0505628525857 & 0.142240760528382 \tabularnewline
0.32 & 26.0784453194328 & 0.143406555433340 \tabularnewline
0.33 & 26.1062971741962 & 0.143379387148795 \tabularnewline
0.34 & 26.1339535030878 & 0.142471380801102 \tabularnewline
0.35 & 26.1613101163348 & 0.141101539560616 \tabularnewline
0.36 & 26.1883386240076 & 0.139810075410663 \tabularnewline
0.37 & 26.2150913344099 & 0.139069634781787 \tabularnewline
0.38 & 26.2416957016246 & 0.139283864252537 \tabularnewline
0.39 & 26.2683395803557 & 0.140787280860221 \tabularnewline
0.4 & 26.2952497429369 & 0.143748662259601 \tabularnewline
0.41 & 26.3226667490040 & 0.148113612652007 \tabularnewline
0.42 & 26.3508192724704 & 0.153700806142095 \tabularnewline
0.43 & 26.379900488209 & 0.160200519028027 \tabularnewline
0.44 & 26.4100483250712 & 0.167256283113678 \tabularnewline
0.45 & 26.4413305661395 & 0.174378409305079 \tabularnewline
0.46 & 26.4737351436454 & 0.181116855929402 \tabularnewline
0.47 & 26.5071656523577 & 0.187001090869257 \tabularnewline
0.48 & 26.5414420772484 & 0.191639477784612 \tabularnewline
0.49 & 26.5763068686684 & 0.194549093118443 \tabularnewline
0.5 & 26.6114366078287 & 0.195381799007864 \tabularnewline
0.51 & 26.6464594037262 & 0.193980080711011 \tabularnewline
0.52 & 26.6809777455978 & 0.190184624730979 \tabularnewline
0.53 & 26.7145958196992 & 0.184084418904419 \tabularnewline
0.54 & 26.7469494245429 & 0.175868309849120 \tabularnewline
0.55 & 26.7777358033722 & 0.165964414941553 \tabularnewline
0.56 & 26.8067401861179 & 0.15495197196516 \tabularnewline
0.57 & 26.8338557650371 & 0.143460616189819 \tabularnewline
0.58 & 26.8590942817092 & 0.132185376863676 \tabularnewline
0.59 & 26.8825853272062 & 0.121878388097993 \tabularnewline
0.6 & 26.9045637174909 & 0.113148147079409 \tabularnewline
0.61 & 26.9253457335209 & 0.106462361547895 \tabularnewline
0.62 & 26.9452964490690 & 0.102167284819958 \tabularnewline
0.63 & 26.9647916698191 & 0.100183206345190 \tabularnewline
0.64 & 26.9841790404154 & 0.100221652730856 \tabularnewline
0.65 & 27.0037434811098 & 0.101768808603969 \tabularnewline
0.66 & 27.0236820926767 & 0.10413274892108 \tabularnewline
0.67 & 27.0440928130727 & 0.106648880297851 \tabularnewline
0.68 & 27.0649793024355 & 0.108670572599425 \tabularnewline
0.69 & 27.0862718577644 & 0.109852627403037 \tabularnewline
0.7 & 27.1078609933158 & 0.109964661937260 \tabularnewline
0.71 & 27.129637343786 & 0.109192387948128 \tabularnewline
0.72 & 27.1515296032687 & 0.107783366104762 \tabularnewline
0.73 & 27.1735320782748 & 0.106317209555383 \tabularnewline
0.74 & 27.1957155097089 & 0.105318501136048 \tabularnewline
0.75 & 27.2182188944155 & 0.105210368366707 \tabularnewline
0.76 & 27.241225213691 & 0.10616577703648 \tabularnewline
0.77 & 27.2649288359458 & 0.108115103135113 \tabularnewline
0.78 & 27.2895053536364 & 0.110711904272384 \tabularnewline
0.79 & 27.3150945602672 & 0.113561014793314 \tabularnewline
0.8 & 27.3418037977461 & 0.116336037935356 \tabularnewline
0.81 & 27.3697326327405 & 0.118908579979251 \tabularnewline
0.82 & 27.3990122308332 & 0.121454613523533 \tabularnewline
0.83 & 27.4298458080731 & 0.124349571769280 \tabularnewline
0.84 & 27.4625320869514 & 0.128103790821307 \tabularnewline
0.85 & 27.497453601833 & 0.133146239280141 \tabularnewline
0.86 & 27.5350180064591 & 0.139544135806355 \tabularnewline
0.87 & 27.5755556962748 & 0.146813904935746 \tabularnewline
0.88 & 27.6192031575522 & 0.153853590376467 \tabularnewline
0.89 & 27.6658371590425 & 0.159091673660844 \tabularnewline
0.9 & 27.7151601159913 & 0.161100147169948 \tabularnewline
0.91 & 27.7670474421049 & 0.159411047638936 \tabularnewline
0.92 & 27.8222147348524 & 0.155864936447855 \tabularnewline
0.93 & 27.8831054753502 & 0.15564796270632 \tabularnewline
0.94 & 27.9546295445432 & 0.166954337770224 \tabularnewline
0.95 & 28.0440694879483 & 0.195977682310320 \tabularnewline
0.96 & 28.1592575664018 & 0.238903709189784 \tabularnewline
0.97 & 28.3040757926080 & 0.278588370334507 \tabularnewline
0.98 & 28.4705383364446 & 0.292953832965381 \tabularnewline
0.99 & 28.6291639569857 & 0.279620926498661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9349&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]24.3833804236727[/C][C]0.210038140451372[/C][/ROW]
[ROW][C]0.02[/C][C]24.4905760320718[/C][C]0.179652083557868[/C][/ROW]
[ROW][C]0.03[/C][C]24.6021198722121[/C][C]0.189775045232184[/C][/ROW]
[ROW][C]0.04[/C][C]24.7114048873339[/C][C]0.231726081801858[/C][/ROW]
[ROW][C]0.05[/C][C]24.8219818554916[/C][C]0.275941475023317[/C][/ROW]
[ROW][C]0.06[/C][C]24.9352584958627[/C][C]0.302611822722074[/C][/ROW]
[ROW][C]0.07[/C][C]25.0480021582913[/C][C]0.305674442616349[/C][/ROW]
[ROW][C]0.08[/C][C]25.1549863557901[/C][C]0.289089749122999[/C][/ROW]
[ROW][C]0.09[/C][C]25.2518981906567[/C][C]0.261417330204578[/C][/ROW]
[ROW][C]0.1[/C][C]25.3366838434997[/C][C]0.231155186322384[/C][/ROW]
[ROW][C]0.11[/C][C]25.409458090543[/C][C]0.204073545668743[/C][/ROW]
[ROW][C]0.12[/C][C]25.4717062873861[/C][C]0.182659906314805[/C][/ROW]
[ROW][C]0.13[/C][C]25.5254111767327[/C][C]0.166631539501319[/C][/ROW]
[ROW][C]0.14[/C][C]25.5724366845603[/C][C]0.154412013880941[/C][/ROW]
[ROW][C]0.15[/C][C]25.6142414426212[/C][C]0.144281286166596[/C][/ROW]
[ROW][C]0.16[/C][C]25.6518495631381[/C][C]0.135070446417037[/C][/ROW]
[ROW][C]0.17[/C][C]25.6859613094000[/C][C]0.126397302466333[/C][/ROW]
[ROW][C]0.18[/C][C]25.7171011512404[/C][C]0.118482898003883[/C][/ROW]
[ROW][C]0.19[/C][C]25.7457388864517[/C][C]0.111836708328098[/C][/ROW]
[ROW][C]0.2[/C][C]25.7723579160512[/C][C]0.107029882245594[/C][/ROW]
[ROW][C]0.21[/C][C]25.7974723560606[/C][C]0.104408057380041[/C][/ROW]
[ROW][C]0.22[/C][C]25.821608825327[/C][C]0.104105834603266[/C][/ROW]
[ROW][C]0.23[/C][C]25.845271752949[/C][C]0.105926765053991[/C][/ROW]
[ROW][C]0.24[/C][C]25.868907283205[/C][C]0.109504699325672[/C][/ROW]
[ROW][C]0.25[/C][C]25.8928746988216[/C][C]0.114331747289881[/C][/ROW]
[ROW][C]0.26[/C][C]25.9174288252211[/C][C]0.119910504180003[/C][/ROW]
[ROW][C]0.27[/C][C]25.9427135034722[/C][C]0.125732287200395[/C][/ROW]
[ROW][C]0.28[/C][C]25.9687648887133[/C][C]0.131247402956528[/C][/ROW]
[ROW][C]0.29[/C][C]25.9955232274987[/C][C]0.136044072883317[/C][/ROW]
[ROW][C]0.3[/C][C]26.0228519583812[/C][C]0.139778259817716[/C][/ROW]
[ROW][C]0.31[/C][C]26.0505628525857[/C][C]0.142240760528382[/C][/ROW]
[ROW][C]0.32[/C][C]26.0784453194328[/C][C]0.143406555433340[/C][/ROW]
[ROW][C]0.33[/C][C]26.1062971741962[/C][C]0.143379387148795[/C][/ROW]
[ROW][C]0.34[/C][C]26.1339535030878[/C][C]0.142471380801102[/C][/ROW]
[ROW][C]0.35[/C][C]26.1613101163348[/C][C]0.141101539560616[/C][/ROW]
[ROW][C]0.36[/C][C]26.1883386240076[/C][C]0.139810075410663[/C][/ROW]
[ROW][C]0.37[/C][C]26.2150913344099[/C][C]0.139069634781787[/C][/ROW]
[ROW][C]0.38[/C][C]26.2416957016246[/C][C]0.139283864252537[/C][/ROW]
[ROW][C]0.39[/C][C]26.2683395803557[/C][C]0.140787280860221[/C][/ROW]
[ROW][C]0.4[/C][C]26.2952497429369[/C][C]0.143748662259601[/C][/ROW]
[ROW][C]0.41[/C][C]26.3226667490040[/C][C]0.148113612652007[/C][/ROW]
[ROW][C]0.42[/C][C]26.3508192724704[/C][C]0.153700806142095[/C][/ROW]
[ROW][C]0.43[/C][C]26.379900488209[/C][C]0.160200519028027[/C][/ROW]
[ROW][C]0.44[/C][C]26.4100483250712[/C][C]0.167256283113678[/C][/ROW]
[ROW][C]0.45[/C][C]26.4413305661395[/C][C]0.174378409305079[/C][/ROW]
[ROW][C]0.46[/C][C]26.4737351436454[/C][C]0.181116855929402[/C][/ROW]
[ROW][C]0.47[/C][C]26.5071656523577[/C][C]0.187001090869257[/C][/ROW]
[ROW][C]0.48[/C][C]26.5414420772484[/C][C]0.191639477784612[/C][/ROW]
[ROW][C]0.49[/C][C]26.5763068686684[/C][C]0.194549093118443[/C][/ROW]
[ROW][C]0.5[/C][C]26.6114366078287[/C][C]0.195381799007864[/C][/ROW]
[ROW][C]0.51[/C][C]26.6464594037262[/C][C]0.193980080711011[/C][/ROW]
[ROW][C]0.52[/C][C]26.6809777455978[/C][C]0.190184624730979[/C][/ROW]
[ROW][C]0.53[/C][C]26.7145958196992[/C][C]0.184084418904419[/C][/ROW]
[ROW][C]0.54[/C][C]26.7469494245429[/C][C]0.175868309849120[/C][/ROW]
[ROW][C]0.55[/C][C]26.7777358033722[/C][C]0.165964414941553[/C][/ROW]
[ROW][C]0.56[/C][C]26.8067401861179[/C][C]0.15495197196516[/C][/ROW]
[ROW][C]0.57[/C][C]26.8338557650371[/C][C]0.143460616189819[/C][/ROW]
[ROW][C]0.58[/C][C]26.8590942817092[/C][C]0.132185376863676[/C][/ROW]
[ROW][C]0.59[/C][C]26.8825853272062[/C][C]0.121878388097993[/C][/ROW]
[ROW][C]0.6[/C][C]26.9045637174909[/C][C]0.113148147079409[/C][/ROW]
[ROW][C]0.61[/C][C]26.9253457335209[/C][C]0.106462361547895[/C][/ROW]
[ROW][C]0.62[/C][C]26.9452964490690[/C][C]0.102167284819958[/C][/ROW]
[ROW][C]0.63[/C][C]26.9647916698191[/C][C]0.100183206345190[/C][/ROW]
[ROW][C]0.64[/C][C]26.9841790404154[/C][C]0.100221652730856[/C][/ROW]
[ROW][C]0.65[/C][C]27.0037434811098[/C][C]0.101768808603969[/C][/ROW]
[ROW][C]0.66[/C][C]27.0236820926767[/C][C]0.10413274892108[/C][/ROW]
[ROW][C]0.67[/C][C]27.0440928130727[/C][C]0.106648880297851[/C][/ROW]
[ROW][C]0.68[/C][C]27.0649793024355[/C][C]0.108670572599425[/C][/ROW]
[ROW][C]0.69[/C][C]27.0862718577644[/C][C]0.109852627403037[/C][/ROW]
[ROW][C]0.7[/C][C]27.1078609933158[/C][C]0.109964661937260[/C][/ROW]
[ROW][C]0.71[/C][C]27.129637343786[/C][C]0.109192387948128[/C][/ROW]
[ROW][C]0.72[/C][C]27.1515296032687[/C][C]0.107783366104762[/C][/ROW]
[ROW][C]0.73[/C][C]27.1735320782748[/C][C]0.106317209555383[/C][/ROW]
[ROW][C]0.74[/C][C]27.1957155097089[/C][C]0.105318501136048[/C][/ROW]
[ROW][C]0.75[/C][C]27.2182188944155[/C][C]0.105210368366707[/C][/ROW]
[ROW][C]0.76[/C][C]27.241225213691[/C][C]0.10616577703648[/C][/ROW]
[ROW][C]0.77[/C][C]27.2649288359458[/C][C]0.108115103135113[/C][/ROW]
[ROW][C]0.78[/C][C]27.2895053536364[/C][C]0.110711904272384[/C][/ROW]
[ROW][C]0.79[/C][C]27.3150945602672[/C][C]0.113561014793314[/C][/ROW]
[ROW][C]0.8[/C][C]27.3418037977461[/C][C]0.116336037935356[/C][/ROW]
[ROW][C]0.81[/C][C]27.3697326327405[/C][C]0.118908579979251[/C][/ROW]
[ROW][C]0.82[/C][C]27.3990122308332[/C][C]0.121454613523533[/C][/ROW]
[ROW][C]0.83[/C][C]27.4298458080731[/C][C]0.124349571769280[/C][/ROW]
[ROW][C]0.84[/C][C]27.4625320869514[/C][C]0.128103790821307[/C][/ROW]
[ROW][C]0.85[/C][C]27.497453601833[/C][C]0.133146239280141[/C][/ROW]
[ROW][C]0.86[/C][C]27.5350180064591[/C][C]0.139544135806355[/C][/ROW]
[ROW][C]0.87[/C][C]27.5755556962748[/C][C]0.146813904935746[/C][/ROW]
[ROW][C]0.88[/C][C]27.6192031575522[/C][C]0.153853590376467[/C][/ROW]
[ROW][C]0.89[/C][C]27.6658371590425[/C][C]0.159091673660844[/C][/ROW]
[ROW][C]0.9[/C][C]27.7151601159913[/C][C]0.161100147169948[/C][/ROW]
[ROW][C]0.91[/C][C]27.7670474421049[/C][C]0.159411047638936[/C][/ROW]
[ROW][C]0.92[/C][C]27.8222147348524[/C][C]0.155864936447855[/C][/ROW]
[ROW][C]0.93[/C][C]27.8831054753502[/C][C]0.15564796270632[/C][/ROW]
[ROW][C]0.94[/C][C]27.9546295445432[/C][C]0.166954337770224[/C][/ROW]
[ROW][C]0.95[/C][C]28.0440694879483[/C][C]0.195977682310320[/C][/ROW]
[ROW][C]0.96[/C][C]28.1592575664018[/C][C]0.238903709189784[/C][/ROW]
[ROW][C]0.97[/C][C]28.3040757926080[/C][C]0.278588370334507[/C][/ROW]
[ROW][C]0.98[/C][C]28.4705383364446[/C][C]0.292953832965381[/C][/ROW]
[ROW][C]0.99[/C][C]28.6291639569857[/C][C]0.279620926498661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9349&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
0.0124.38338042367270.210038140451372
0.0224.49057603207180.179652083557868
0.0324.60211987221210.189775045232184
0.0424.71140488733390.231726081801858
0.0524.82198185549160.275941475023317
0.0624.93525849586270.302611822722074
0.0725.04800215829130.305674442616349
0.0825.15498635579010.289089749122999
0.0925.25189819065670.261417330204578
0.125.33668384349970.231155186322384
0.1125.4094580905430.204073545668743
0.1225.47170628738610.182659906314805
0.1325.52541117673270.166631539501319
0.1425.57243668456030.154412013880941
0.1525.61424144262120.144281286166596
0.1625.65184956313810.135070446417037
0.1725.68596130940000.126397302466333
0.1825.71710115124040.118482898003883
0.1925.74573888645170.111836708328098
0.225.77235791605120.107029882245594
0.2125.79747235606060.104408057380041
0.2225.8216088253270.104105834603266
0.2325.8452717529490.105926765053991
0.2425.8689072832050.109504699325672
0.2525.89287469882160.114331747289881
0.2625.91742882522110.119910504180003
0.2725.94271350347220.125732287200395
0.2825.96876488871330.131247402956528
0.2925.99552322749870.136044072883317
0.326.02285195838120.139778259817716
0.3126.05056285258570.142240760528382
0.3226.07844531943280.143406555433340
0.3326.10629717419620.143379387148795
0.3426.13395350308780.142471380801102
0.3526.16131011633480.141101539560616
0.3626.18833862400760.139810075410663
0.3726.21509133440990.139069634781787
0.3826.24169570162460.139283864252537
0.3926.26833958035570.140787280860221
0.426.29524974293690.143748662259601
0.4126.32266674900400.148113612652007
0.4226.35081927247040.153700806142095
0.4326.3799004882090.160200519028027
0.4426.41004832507120.167256283113678
0.4526.44133056613950.174378409305079
0.4626.47373514364540.181116855929402
0.4726.50716565235770.187001090869257
0.4826.54144207724840.191639477784612
0.4926.57630686866840.194549093118443
0.526.61143660782870.195381799007864
0.5126.64645940372620.193980080711011
0.5226.68097774559780.190184624730979
0.5326.71459581969920.184084418904419
0.5426.74694942454290.175868309849120
0.5526.77773580337220.165964414941553
0.5626.80674018611790.15495197196516
0.5726.83385576503710.143460616189819
0.5826.85909428170920.132185376863676
0.5926.88258532720620.121878388097993
0.626.90456371749090.113148147079409
0.6126.92534573352090.106462361547895
0.6226.94529644906900.102167284819958
0.6326.96479166981910.100183206345190
0.6426.98417904041540.100221652730856
0.6527.00374348110980.101768808603969
0.6627.02368209267670.10413274892108
0.6727.04409281307270.106648880297851
0.6827.06497930243550.108670572599425
0.6927.08627185776440.109852627403037
0.727.10786099331580.109964661937260
0.7127.1296373437860.109192387948128
0.7227.15152960326870.107783366104762
0.7327.17353207827480.106317209555383
0.7427.19571550970890.105318501136048
0.7527.21821889441550.105210368366707
0.7627.2412252136910.10616577703648
0.7727.26492883594580.108115103135113
0.7827.28950535363640.110711904272384
0.7927.31509456026720.113561014793314
0.827.34180379774610.116336037935356
0.8127.36973263274050.118908579979251
0.8227.39901223083320.121454613523533
0.8327.42984580807310.124349571769280
0.8427.46253208695140.128103790821307
0.8527.4974536018330.133146239280141
0.8627.53501800645910.139544135806355
0.8727.57555569627480.146813904935746
0.8827.61920315755220.153853590376467
0.8927.66583715904250.159091673660844
0.927.71516011599130.161100147169948
0.9127.76704744210490.159411047638936
0.9227.82221473485240.155864936447855
0.9327.88310547535020.15564796270632
0.9427.95462954454320.166954337770224
0.9528.04406948794830.195977682310320
0.9628.15925756640180.238903709189784
0.9728.30407579260800.278588370334507
0.9828.47053833644460.292953832965381
0.9928.62916395698570.279620926498661


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')