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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 Feb 2013 14:31:46 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361907140rhjp7vfogx5l3y7.htm/, Retrieved Sun, 05 May 2024 03:35:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207105, Retrieved Sun, 05 May 2024 03:35:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

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] [] [2013-02-26 19:31:46] [5b48cba8ffed7710e2defc0d8d22bd89] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.29
13.34
13.41
13.45
13.52
13.52
13.53
13.55
13.52
13.51
13.55
13.56
13.62
13.69
13.67
13.66
13.69
13.69
13.7
13.73
13.79
13.8
13.84
13.84
13.88
13.97
14.06
14.11
14.13
14.15
14.2
14.28
14.3
14.33
14.4
14.4
14.42
14.51
14.64
14.68
14.72
14.73
14.76
14.78
14.83
14.84
14.85
14.87
14.87
14.96
15.08
15.08
15.12
15.12
15.1
15.16
15.22
15.28
15.29
15.32
15.4
15.44
15.48
15.52
15.6
15.61
15.66
15.69
15.75
15.82
15.81
15.82

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'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207105&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207105&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207105&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.30950461563050.0538183503490521
0.0213.34154799354840.0615066226341743
0.0313.37754576790480.0657700864288426
0.0413.41179702137260.0641412708536228
0.0513.44167700837770.0580148170901603
0.0613.46636538803760.0495363633585653
0.0713.48603967069360.0407426214189599
0.0813.50148347652830.0335217655565124
0.0913.51382137534360.0293493360784273
0.113.52427958206860.0288658660754944
0.1113.5339840648290.0316316482247796
0.1213.54382511419570.0365538008034476
0.1313.55439673053620.0425371714038073
0.1413.56599794768510.0486249192633916
0.1513.57867523952340.0540930115360456
0.1613.59228792647480.0584127305037838
0.1713.60658405362340.0613322507521058
0.1813.6212773992560.0629400266130874
0.1913.6361168064080.0635675404230357
0.213.6509392750270.0637992381776309
0.2113.66570030647080.0643094478192408
0.2213.68047918996350.0657583243499918
0.2313.69546199561850.0686264212009235
0.2413.71090917066250.0731067491674256
0.2513.72711650372710.0792037877387937
0.2613.74437754112490.0867146516276313
0.2713.76295299473210.0953889862846766
0.2813.78304947265850.104858945111023
0.2913.80480714986420.11483701413733
0.313.82829448410290.124954922409479
0.3113.85350787938230.134857031753277
0.3213.88037490990050.144209213589207
0.3313.90876070588430.15267414954651
0.3413.93847778310960.159952358536617
0.3513.96929964839490.165864091381324
0.3614.0009779489210.170303277918555
0.3714.03326203616870.173337319552525
0.3814.06591897634850.175102057622343
0.3914.09875158616170.175850305252044
0.414.13161215552340.175924805409382
0.4114.16441008653360.175680179616962
0.4214.19711253903130.175450264205805
0.4314.22973809804120.175490535170181
0.4414.26234429255090.17603120117979
0.4514.29501042277330.177114006771763
0.4614.32781760387450.178678596108438
0.4714.36082824872280.180582026426349
0.4814.39406740332660.182530444449689
0.4914.42750837064370.184150189656223
0.514.46106482097620.185055157595982
0.5114.49459100560130.184848364243417
0.5214.52789074697330.18326347294009
0.5314.56073466348870.180115899465431
0.5414.59288379433910.175408538811866
0.5514.62411667333380.169303620043569
0.5614.65425619698560.162155909590792
0.5714.68319249291780.15442391410588
0.5814.71089844652790.146626882625552
0.5914.73743549542410.139355034007121
0.614.76294858636170.133132110668062
0.6114.78765062390160.128345089104209
0.6214.8117981617610.125198537406197
0.6314.83566136389960.123752544712143
0.6414.85949226525420.123745370871063
0.6514.88349593905930.124809529767479
0.6614.90780914667640.126408322889073
0.6714.93249023953310.127997605118973
0.6814.95752243852120.129096392694928
0.6914.98283027575310.129384377866909
0.715.00830634668320.128721536329434
0.7115.03384320205790.127199875233129
0.7215.05936388255470.125115454011921
0.7315.08484476418690.122871642575155
0.7415.11032614266730.12088503352712
0.7515.13590893672020.119524275845533
0.7615.16173920237350.118987388747351
0.7715.18798482858460.119267937721271
0.7815.21481003539240.120232134987006
0.7915.24235283369290.121610819847586
0.815.27070876310930.123129265550889
0.8115.29992180514660.124500529921498
0.8215.32998131651330.125489367645185
0.8315.36082287349750.125865411841878
0.8415.39233136547620.125457004808645
0.8515.42434635635210.124094665981294
0.8615.45667203618160.12164609435678
0.8715.4890959199240.118081921855219
0.8815.52142016258760.113431702177246
0.8915.55350489650530.107909125133959
0.915.58531276286660.101939760252964
0.9115.61692857413480.0960769823874676
0.9215.64851374502310.090828620869673
0.9315.68015532300010.0861965861605546
0.9415.7116038336290.0812633874833743
0.9515.74197679677680.074117536193778
0.9615.76961742015330.0626360586978407
0.9715.7923600641110.0460459165991947
0.9815.80833246513330.0265554754617516
0.9915.81704032250830.00939473729371042

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.3095046156305 & 0.0538183503490521 \tabularnewline
0.02 & 13.3415479935484 & 0.0615066226341743 \tabularnewline
0.03 & 13.3775457679048 & 0.0657700864288426 \tabularnewline
0.04 & 13.4117970213726 & 0.0641412708536228 \tabularnewline
0.05 & 13.4416770083777 & 0.0580148170901603 \tabularnewline
0.06 & 13.4663653880376 & 0.0495363633585653 \tabularnewline
0.07 & 13.4860396706936 & 0.0407426214189599 \tabularnewline
0.08 & 13.5014834765283 & 0.0335217655565124 \tabularnewline
0.09 & 13.5138213753436 & 0.0293493360784273 \tabularnewline
0.1 & 13.5242795820686 & 0.0288658660754944 \tabularnewline
0.11 & 13.533984064829 & 0.0316316482247796 \tabularnewline
0.12 & 13.5438251141957 & 0.0365538008034476 \tabularnewline
0.13 & 13.5543967305362 & 0.0425371714038073 \tabularnewline
0.14 & 13.5659979476851 & 0.0486249192633916 \tabularnewline
0.15 & 13.5786752395234 & 0.0540930115360456 \tabularnewline
0.16 & 13.5922879264748 & 0.0584127305037838 \tabularnewline
0.17 & 13.6065840536234 & 0.0613322507521058 \tabularnewline
0.18 & 13.621277399256 & 0.0629400266130874 \tabularnewline
0.19 & 13.636116806408 & 0.0635675404230357 \tabularnewline
0.2 & 13.650939275027 & 0.0637992381776309 \tabularnewline
0.21 & 13.6657003064708 & 0.0643094478192408 \tabularnewline
0.22 & 13.6804791899635 & 0.0657583243499918 \tabularnewline
0.23 & 13.6954619956185 & 0.0686264212009235 \tabularnewline
0.24 & 13.7109091706625 & 0.0731067491674256 \tabularnewline
0.25 & 13.7271165037271 & 0.0792037877387937 \tabularnewline
0.26 & 13.7443775411249 & 0.0867146516276313 \tabularnewline
0.27 & 13.7629529947321 & 0.0953889862846766 \tabularnewline
0.28 & 13.7830494726585 & 0.104858945111023 \tabularnewline
0.29 & 13.8048071498642 & 0.11483701413733 \tabularnewline
0.3 & 13.8282944841029 & 0.124954922409479 \tabularnewline
0.31 & 13.8535078793823 & 0.134857031753277 \tabularnewline
0.32 & 13.8803749099005 & 0.144209213589207 \tabularnewline
0.33 & 13.9087607058843 & 0.15267414954651 \tabularnewline
0.34 & 13.9384777831096 & 0.159952358536617 \tabularnewline
0.35 & 13.9692996483949 & 0.165864091381324 \tabularnewline
0.36 & 14.000977948921 & 0.170303277918555 \tabularnewline
0.37 & 14.0332620361687 & 0.173337319552525 \tabularnewline
0.38 & 14.0659189763485 & 0.175102057622343 \tabularnewline
0.39 & 14.0987515861617 & 0.175850305252044 \tabularnewline
0.4 & 14.1316121555234 & 0.175924805409382 \tabularnewline
0.41 & 14.1644100865336 & 0.175680179616962 \tabularnewline
0.42 & 14.1971125390313 & 0.175450264205805 \tabularnewline
0.43 & 14.2297380980412 & 0.175490535170181 \tabularnewline
0.44 & 14.2623442925509 & 0.17603120117979 \tabularnewline
0.45 & 14.2950104227733 & 0.177114006771763 \tabularnewline
0.46 & 14.3278176038745 & 0.178678596108438 \tabularnewline
0.47 & 14.3608282487228 & 0.180582026426349 \tabularnewline
0.48 & 14.3940674033266 & 0.182530444449689 \tabularnewline
0.49 & 14.4275083706437 & 0.184150189656223 \tabularnewline
0.5 & 14.4610648209762 & 0.185055157595982 \tabularnewline
0.51 & 14.4945910056013 & 0.184848364243417 \tabularnewline
0.52 & 14.5278907469733 & 0.18326347294009 \tabularnewline
0.53 & 14.5607346634887 & 0.180115899465431 \tabularnewline
0.54 & 14.5928837943391 & 0.175408538811866 \tabularnewline
0.55 & 14.6241166733338 & 0.169303620043569 \tabularnewline
0.56 & 14.6542561969856 & 0.162155909590792 \tabularnewline
0.57 & 14.6831924929178 & 0.15442391410588 \tabularnewline
0.58 & 14.7108984465279 & 0.146626882625552 \tabularnewline
0.59 & 14.7374354954241 & 0.139355034007121 \tabularnewline
0.6 & 14.7629485863617 & 0.133132110668062 \tabularnewline
0.61 & 14.7876506239016 & 0.128345089104209 \tabularnewline
0.62 & 14.811798161761 & 0.125198537406197 \tabularnewline
0.63 & 14.8356613638996 & 0.123752544712143 \tabularnewline
0.64 & 14.8594922652542 & 0.123745370871063 \tabularnewline
0.65 & 14.8834959390593 & 0.124809529767479 \tabularnewline
0.66 & 14.9078091466764 & 0.126408322889073 \tabularnewline
0.67 & 14.9324902395331 & 0.127997605118973 \tabularnewline
0.68 & 14.9575224385212 & 0.129096392694928 \tabularnewline
0.69 & 14.9828302757531 & 0.129384377866909 \tabularnewline
0.7 & 15.0083063466832 & 0.128721536329434 \tabularnewline
0.71 & 15.0338432020579 & 0.127199875233129 \tabularnewline
0.72 & 15.0593638825547 & 0.125115454011921 \tabularnewline
0.73 & 15.0848447641869 & 0.122871642575155 \tabularnewline
0.74 & 15.1103261426673 & 0.12088503352712 \tabularnewline
0.75 & 15.1359089367202 & 0.119524275845533 \tabularnewline
0.76 & 15.1617392023735 & 0.118987388747351 \tabularnewline
0.77 & 15.1879848285846 & 0.119267937721271 \tabularnewline
0.78 & 15.2148100353924 & 0.120232134987006 \tabularnewline
0.79 & 15.2423528336929 & 0.121610819847586 \tabularnewline
0.8 & 15.2707087631093 & 0.123129265550889 \tabularnewline
0.81 & 15.2999218051466 & 0.124500529921498 \tabularnewline
0.82 & 15.3299813165133 & 0.125489367645185 \tabularnewline
0.83 & 15.3608228734975 & 0.125865411841878 \tabularnewline
0.84 & 15.3923313654762 & 0.125457004808645 \tabularnewline
0.85 & 15.4243463563521 & 0.124094665981294 \tabularnewline
0.86 & 15.4566720361816 & 0.12164609435678 \tabularnewline
0.87 & 15.489095919924 & 0.118081921855219 \tabularnewline
0.88 & 15.5214201625876 & 0.113431702177246 \tabularnewline
0.89 & 15.5535048965053 & 0.107909125133959 \tabularnewline
0.9 & 15.5853127628666 & 0.101939760252964 \tabularnewline
0.91 & 15.6169285741348 & 0.0960769823874676 \tabularnewline
0.92 & 15.6485137450231 & 0.090828620869673 \tabularnewline
0.93 & 15.6801553230001 & 0.0861965861605546 \tabularnewline
0.94 & 15.711603833629 & 0.0812633874833743 \tabularnewline
0.95 & 15.7419767967768 & 0.074117536193778 \tabularnewline
0.96 & 15.7696174201533 & 0.0626360586978407 \tabularnewline
0.97 & 15.792360064111 & 0.0460459165991947 \tabularnewline
0.98 & 15.8083324651333 & 0.0265554754617516 \tabularnewline
0.99 & 15.8170403225083 & 0.00939473729371042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207105&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]13.3095046156305[/C][C]0.0538183503490521[/C][/ROW]
[ROW][C]0.02[/C][C]13.3415479935484[/C][C]0.0615066226341743[/C][/ROW]
[ROW][C]0.03[/C][C]13.3775457679048[/C][C]0.0657700864288426[/C][/ROW]
[ROW][C]0.04[/C][C]13.4117970213726[/C][C]0.0641412708536228[/C][/ROW]
[ROW][C]0.05[/C][C]13.4416770083777[/C][C]0.0580148170901603[/C][/ROW]
[ROW][C]0.06[/C][C]13.4663653880376[/C][C]0.0495363633585653[/C][/ROW]
[ROW][C]0.07[/C][C]13.4860396706936[/C][C]0.0407426214189599[/C][/ROW]
[ROW][C]0.08[/C][C]13.5014834765283[/C][C]0.0335217655565124[/C][/ROW]
[ROW][C]0.09[/C][C]13.5138213753436[/C][C]0.0293493360784273[/C][/ROW]
[ROW][C]0.1[/C][C]13.5242795820686[/C][C]0.0288658660754944[/C][/ROW]
[ROW][C]0.11[/C][C]13.533984064829[/C][C]0.0316316482247796[/C][/ROW]
[ROW][C]0.12[/C][C]13.5438251141957[/C][C]0.0365538008034476[/C][/ROW]
[ROW][C]0.13[/C][C]13.5543967305362[/C][C]0.0425371714038073[/C][/ROW]
[ROW][C]0.14[/C][C]13.5659979476851[/C][C]0.0486249192633916[/C][/ROW]
[ROW][C]0.15[/C][C]13.5786752395234[/C][C]0.0540930115360456[/C][/ROW]
[ROW][C]0.16[/C][C]13.5922879264748[/C][C]0.0584127305037838[/C][/ROW]
[ROW][C]0.17[/C][C]13.6065840536234[/C][C]0.0613322507521058[/C][/ROW]
[ROW][C]0.18[/C][C]13.621277399256[/C][C]0.0629400266130874[/C][/ROW]
[ROW][C]0.19[/C][C]13.636116806408[/C][C]0.0635675404230357[/C][/ROW]
[ROW][C]0.2[/C][C]13.650939275027[/C][C]0.0637992381776309[/C][/ROW]
[ROW][C]0.21[/C][C]13.6657003064708[/C][C]0.0643094478192408[/C][/ROW]
[ROW][C]0.22[/C][C]13.6804791899635[/C][C]0.0657583243499918[/C][/ROW]
[ROW][C]0.23[/C][C]13.6954619956185[/C][C]0.0686264212009235[/C][/ROW]
[ROW][C]0.24[/C][C]13.7109091706625[/C][C]0.0731067491674256[/C][/ROW]
[ROW][C]0.25[/C][C]13.7271165037271[/C][C]0.0792037877387937[/C][/ROW]
[ROW][C]0.26[/C][C]13.7443775411249[/C][C]0.0867146516276313[/C][/ROW]
[ROW][C]0.27[/C][C]13.7629529947321[/C][C]0.0953889862846766[/C][/ROW]
[ROW][C]0.28[/C][C]13.7830494726585[/C][C]0.104858945111023[/C][/ROW]
[ROW][C]0.29[/C][C]13.8048071498642[/C][C]0.11483701413733[/C][/ROW]
[ROW][C]0.3[/C][C]13.8282944841029[/C][C]0.124954922409479[/C][/ROW]
[ROW][C]0.31[/C][C]13.8535078793823[/C][C]0.134857031753277[/C][/ROW]
[ROW][C]0.32[/C][C]13.8803749099005[/C][C]0.144209213589207[/C][/ROW]
[ROW][C]0.33[/C][C]13.9087607058843[/C][C]0.15267414954651[/C][/ROW]
[ROW][C]0.34[/C][C]13.9384777831096[/C][C]0.159952358536617[/C][/ROW]
[ROW][C]0.35[/C][C]13.9692996483949[/C][C]0.165864091381324[/C][/ROW]
[ROW][C]0.36[/C][C]14.000977948921[/C][C]0.170303277918555[/C][/ROW]
[ROW][C]0.37[/C][C]14.0332620361687[/C][C]0.173337319552525[/C][/ROW]
[ROW][C]0.38[/C][C]14.0659189763485[/C][C]0.175102057622343[/C][/ROW]
[ROW][C]0.39[/C][C]14.0987515861617[/C][C]0.175850305252044[/C][/ROW]
[ROW][C]0.4[/C][C]14.1316121555234[/C][C]0.175924805409382[/C][/ROW]
[ROW][C]0.41[/C][C]14.1644100865336[/C][C]0.175680179616962[/C][/ROW]
[ROW][C]0.42[/C][C]14.1971125390313[/C][C]0.175450264205805[/C][/ROW]
[ROW][C]0.43[/C][C]14.2297380980412[/C][C]0.175490535170181[/C][/ROW]
[ROW][C]0.44[/C][C]14.2623442925509[/C][C]0.17603120117979[/C][/ROW]
[ROW][C]0.45[/C][C]14.2950104227733[/C][C]0.177114006771763[/C][/ROW]
[ROW][C]0.46[/C][C]14.3278176038745[/C][C]0.178678596108438[/C][/ROW]
[ROW][C]0.47[/C][C]14.3608282487228[/C][C]0.180582026426349[/C][/ROW]
[ROW][C]0.48[/C][C]14.3940674033266[/C][C]0.182530444449689[/C][/ROW]
[ROW][C]0.49[/C][C]14.4275083706437[/C][C]0.184150189656223[/C][/ROW]
[ROW][C]0.5[/C][C]14.4610648209762[/C][C]0.185055157595982[/C][/ROW]
[ROW][C]0.51[/C][C]14.4945910056013[/C][C]0.184848364243417[/C][/ROW]
[ROW][C]0.52[/C][C]14.5278907469733[/C][C]0.18326347294009[/C][/ROW]
[ROW][C]0.53[/C][C]14.5607346634887[/C][C]0.180115899465431[/C][/ROW]
[ROW][C]0.54[/C][C]14.5928837943391[/C][C]0.175408538811866[/C][/ROW]
[ROW][C]0.55[/C][C]14.6241166733338[/C][C]0.169303620043569[/C][/ROW]
[ROW][C]0.56[/C][C]14.6542561969856[/C][C]0.162155909590792[/C][/ROW]
[ROW][C]0.57[/C][C]14.6831924929178[/C][C]0.15442391410588[/C][/ROW]
[ROW][C]0.58[/C][C]14.7108984465279[/C][C]0.146626882625552[/C][/ROW]
[ROW][C]0.59[/C][C]14.7374354954241[/C][C]0.139355034007121[/C][/ROW]
[ROW][C]0.6[/C][C]14.7629485863617[/C][C]0.133132110668062[/C][/ROW]
[ROW][C]0.61[/C][C]14.7876506239016[/C][C]0.128345089104209[/C][/ROW]
[ROW][C]0.62[/C][C]14.811798161761[/C][C]0.125198537406197[/C][/ROW]
[ROW][C]0.63[/C][C]14.8356613638996[/C][C]0.123752544712143[/C][/ROW]
[ROW][C]0.64[/C][C]14.8594922652542[/C][C]0.123745370871063[/C][/ROW]
[ROW][C]0.65[/C][C]14.8834959390593[/C][C]0.124809529767479[/C][/ROW]
[ROW][C]0.66[/C][C]14.9078091466764[/C][C]0.126408322889073[/C][/ROW]
[ROW][C]0.67[/C][C]14.9324902395331[/C][C]0.127997605118973[/C][/ROW]
[ROW][C]0.68[/C][C]14.9575224385212[/C][C]0.129096392694928[/C][/ROW]
[ROW][C]0.69[/C][C]14.9828302757531[/C][C]0.129384377866909[/C][/ROW]
[ROW][C]0.7[/C][C]15.0083063466832[/C][C]0.128721536329434[/C][/ROW]
[ROW][C]0.71[/C][C]15.0338432020579[/C][C]0.127199875233129[/C][/ROW]
[ROW][C]0.72[/C][C]15.0593638825547[/C][C]0.125115454011921[/C][/ROW]
[ROW][C]0.73[/C][C]15.0848447641869[/C][C]0.122871642575155[/C][/ROW]
[ROW][C]0.74[/C][C]15.1103261426673[/C][C]0.12088503352712[/C][/ROW]
[ROW][C]0.75[/C][C]15.1359089367202[/C][C]0.119524275845533[/C][/ROW]
[ROW][C]0.76[/C][C]15.1617392023735[/C][C]0.118987388747351[/C][/ROW]
[ROW][C]0.77[/C][C]15.1879848285846[/C][C]0.119267937721271[/C][/ROW]
[ROW][C]0.78[/C][C]15.2148100353924[/C][C]0.120232134987006[/C][/ROW]
[ROW][C]0.79[/C][C]15.2423528336929[/C][C]0.121610819847586[/C][/ROW]
[ROW][C]0.8[/C][C]15.2707087631093[/C][C]0.123129265550889[/C][/ROW]
[ROW][C]0.81[/C][C]15.2999218051466[/C][C]0.124500529921498[/C][/ROW]
[ROW][C]0.82[/C][C]15.3299813165133[/C][C]0.125489367645185[/C][/ROW]
[ROW][C]0.83[/C][C]15.3608228734975[/C][C]0.125865411841878[/C][/ROW]
[ROW][C]0.84[/C][C]15.3923313654762[/C][C]0.125457004808645[/C][/ROW]
[ROW][C]0.85[/C][C]15.4243463563521[/C][C]0.124094665981294[/C][/ROW]
[ROW][C]0.86[/C][C]15.4566720361816[/C][C]0.12164609435678[/C][/ROW]
[ROW][C]0.87[/C][C]15.489095919924[/C][C]0.118081921855219[/C][/ROW]
[ROW][C]0.88[/C][C]15.5214201625876[/C][C]0.113431702177246[/C][/ROW]
[ROW][C]0.89[/C][C]15.5535048965053[/C][C]0.107909125133959[/C][/ROW]
[ROW][C]0.9[/C][C]15.5853127628666[/C][C]0.101939760252964[/C][/ROW]
[ROW][C]0.91[/C][C]15.6169285741348[/C][C]0.0960769823874676[/C][/ROW]
[ROW][C]0.92[/C][C]15.6485137450231[/C][C]0.090828620869673[/C][/ROW]
[ROW][C]0.93[/C][C]15.6801553230001[/C][C]0.0861965861605546[/C][/ROW]
[ROW][C]0.94[/C][C]15.711603833629[/C][C]0.0812633874833743[/C][/ROW]
[ROW][C]0.95[/C][C]15.7419767967768[/C][C]0.074117536193778[/C][/ROW]
[ROW][C]0.96[/C][C]15.7696174201533[/C][C]0.0626360586978407[/C][/ROW]
[ROW][C]0.97[/C][C]15.792360064111[/C][C]0.0460459165991947[/C][/ROW]
[ROW][C]0.98[/C][C]15.8083324651333[/C][C]0.0265554754617516[/C][/ROW]
[ROW][C]0.99[/C][C]15.8170403225083[/C][C]0.00939473729371042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207105&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207105&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
0.0113.30950461563050.0538183503490521
0.0213.34154799354840.0615066226341743
0.0313.37754576790480.0657700864288426
0.0413.41179702137260.0641412708536228
0.0513.44167700837770.0580148170901603
0.0613.46636538803760.0495363633585653
0.0713.48603967069360.0407426214189599
0.0813.50148347652830.0335217655565124
0.0913.51382137534360.0293493360784273
0.113.52427958206860.0288658660754944
0.1113.5339840648290.0316316482247796
0.1213.54382511419570.0365538008034476
0.1313.55439673053620.0425371714038073
0.1413.56599794768510.0486249192633916
0.1513.57867523952340.0540930115360456
0.1613.59228792647480.0584127305037838
0.1713.60658405362340.0613322507521058
0.1813.6212773992560.0629400266130874
0.1913.6361168064080.0635675404230357
0.213.6509392750270.0637992381776309
0.2113.66570030647080.0643094478192408
0.2213.68047918996350.0657583243499918
0.2313.69546199561850.0686264212009235
0.2413.71090917066250.0731067491674256
0.2513.72711650372710.0792037877387937
0.2613.74437754112490.0867146516276313
0.2713.76295299473210.0953889862846766
0.2813.78304947265850.104858945111023
0.2913.80480714986420.11483701413733
0.313.82829448410290.124954922409479
0.3113.85350787938230.134857031753277
0.3213.88037490990050.144209213589207
0.3313.90876070588430.15267414954651
0.3413.93847778310960.159952358536617
0.3513.96929964839490.165864091381324
0.3614.0009779489210.170303277918555
0.3714.03326203616870.173337319552525
0.3814.06591897634850.175102057622343
0.3914.09875158616170.175850305252044
0.414.13161215552340.175924805409382
0.4114.16441008653360.175680179616962
0.4214.19711253903130.175450264205805
0.4314.22973809804120.175490535170181
0.4414.26234429255090.17603120117979
0.4514.29501042277330.177114006771763
0.4614.32781760387450.178678596108438
0.4714.36082824872280.180582026426349
0.4814.39406740332660.182530444449689
0.4914.42750837064370.184150189656223
0.514.46106482097620.185055157595982
0.5114.49459100560130.184848364243417
0.5214.52789074697330.18326347294009
0.5314.56073466348870.180115899465431
0.5414.59288379433910.175408538811866
0.5514.62411667333380.169303620043569
0.5614.65425619698560.162155909590792
0.5714.68319249291780.15442391410588
0.5814.71089844652790.146626882625552
0.5914.73743549542410.139355034007121
0.614.76294858636170.133132110668062
0.6114.78765062390160.128345089104209
0.6214.8117981617610.125198537406197
0.6314.83566136389960.123752544712143
0.6414.85949226525420.123745370871063
0.6514.88349593905930.124809529767479
0.6614.90780914667640.126408322889073
0.6714.93249023953310.127997605118973
0.6814.95752243852120.129096392694928
0.6914.98283027575310.129384377866909
0.715.00830634668320.128721536329434
0.7115.03384320205790.127199875233129
0.7215.05936388255470.125115454011921
0.7315.08484476418690.122871642575155
0.7415.11032614266730.12088503352712
0.7515.13590893672020.119524275845533
0.7615.16173920237350.118987388747351
0.7715.18798482858460.119267937721271
0.7815.21481003539240.120232134987006
0.7915.24235283369290.121610819847586
0.815.27070876310930.123129265550889
0.8115.29992180514660.124500529921498
0.8215.32998131651330.125489367645185
0.8315.36082287349750.125865411841878
0.8415.39233136547620.125457004808645
0.8515.42434635635210.124094665981294
0.8615.45667203618160.12164609435678
0.8715.4890959199240.118081921855219
0.8815.52142016258760.113431702177246
0.8915.55350489650530.107909125133959
0.915.58531276286660.101939760252964
0.9115.61692857413480.0960769823874676
0.9215.64851374502310.090828620869673
0.9315.68015532300010.0861965861605546
0.9415.7116038336290.0812633874833743
0.9515.74197679677680.074117536193778
0.9615.76961742015330.0626360586978407
0.9715.7923600641110.0460459165991947
0.9815.80833246513330.0265554754617516
0.9915.81704032250830.00939473729371042


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')