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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 15 Oct 2012 07:59:40 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t1350302399nlzwbrzjf3ivem0.htm/, Retrieved Tue, 07 May 2024 19:13:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176768, Retrieved Tue, 07 May 2024 19:13:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2012-10-15 11:28:26] [cfe9648f2be401f628751d6ad9e7954f]
-   PD  [Harrell-Davis Quantiles] [] [2012-10-15 11:54:35] [cfe9648f2be401f628751d6ad9e7954f]
- R PD      [Harrell-Davis Quantiles] [] [2012-10-15 11:59:40] [682ec54b5cb44a03479f999543600eb2] [Current]
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Dataseries X:
1.55
1.56
1.56
1.57
1.57
1.58
1.58
1.58
1.58
1.59
1.59
1.60
1.60
1.61
1.62
1.62
1.63
1.63
1.63
1.63
1.63
1.63
1.64
1.64
1.64
1.65
1.65
1.66
1.67
1.67
1.68
1.68
1.69
1.70
1.71
1.72
1.72
1.73
1.73
1.73
1.73
1.74
1.75
1.75
1.75
1.76
1.76
1.76
1.77
1.78
1.78
1.79
1.79
1.79
1.79
1.79
1.83
1.83
1.83
1.83
1.84
1.84
1.84
1.85
1.85
1.85
1.86
1.86
1.86
1.87
1.87
1.88




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=176768&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=176768&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176768&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
0.011.552772354862580.00803310611992956
0.021.556715294043660.00646544160908779
0.031.560643474028470.00633662242221687
0.041.5642275105180.00692761359675767
0.051.567529931156390.00734476177444782
0.061.570615056600280.00739311547435465
0.071.573489839555150.00723881151071891
0.081.576165140627770.00713822892096348
0.091.578694347261530.00731738223775262
0.11.581168942734260.00789385752218994
0.111.583693179404230.00884179019341769
0.121.586357647832020.0100337687404787
0.131.589221302007780.0113127806480415
0.141.592304256982750.0125311417080036
0.151.595589630310320.0135707520939146
0.161.599031019239990.0143458023158512
0.171.602562326808310.0147997094625748
0.181.606107761004040.014905662479396
0.191.609591014142880.0146690738700305
0.21.612943312684820.0141295581260826
0.211.616110152743610.0133539247703202
0.221.619056379433450.0124373319237609
0.231.621769151757010.0114913435799612
0.241.624258437533740.0106279811739451
0.251.626554999980630.00995822245192268
0.261.628706244469880.00956792024408071
0.271.630770639629830.00951053293085627
0.281.632811604357380.00979363287294053
0.291.634891728292090.0103931020958433
0.31.637068002134490.0112519358322536
0.311.639388450315470.0123135881360435
0.321.641890264086950.0135137523814044
0.331.644599292097470.0147966029015304
0.341.647530590743790.0161116367953027
0.351.650689670179840.0174186289158303
0.361.654074075540810.0186867032724289
0.371.65767499181130.0198865802787223
0.381.661478634405770.0210003573508011
0.391.665467274528260.0220136025936571
0.41.669619844053840.0229085885128573
0.411.673912164824870.0236697238627763
0.421.678316942308380.0242793423289482
0.431.682803736801820.0247155625014275
0.441.68733915661910.0249576645207035
0.451.691887490957820.0249897083811985
0.461.696411911909210.0248007711842115
0.471.700876239181310.0243960548853031
0.481.705247107842390.0237948438218886
0.491.70949624826390.0230305302420051
0.51.713602515871970.0221511468558662
0.511.717553319897880.0212141593439681
0.521.721345196646270.0202748829665208
0.531.724983431744090.0193907387687437
0.541.728480817117590.0186023140175191
0.551.731855785034720.0179368393308095
0.561.735130253512460.017407420182759
0.571.738327523973540.0170090674146145
0.581.741470498173080.0167317623810379
0.591.744580356334830.0165555155218802
0.61.747675706503820.0164640725973777
0.611.750772121310610.0164402667138328
0.621.75388195264980.0164680574362285
0.631.757014360502190.0165279906197102
0.641.760175582262840.0166076941994755
0.651.76336955285780.0166878017717997
0.661.766599005856570.0167585836033861
0.671.769867099172160.0168196571149225
0.681.773179410435510.0168823319337884
0.691.776545882062230.016975233675953
0.71.779982057922040.0171391077286786
0.711.783508861335470.0174167872071827
0.721.787150321144450.0178365060759666
0.731.790929097259770.0183945445372959
0.741.794860323699930.0190405561487438
0.751.798944997729190.0196779734383384
0.761.803164646036910.0201829784819802
0.771.807479049692550.0204248488330839
0.781.811828279286570.0202986087434298
0.791.816139248034350.0197492269044419
0.81.820335715663390.0187889480017807
0.811.824349590244640.0174891499988457
0.821.82813088445320.0159741589879964
0.831.831654003183470.0143915850992751
0.841.834919082365330.0128799045065702
0.851.837948483998740.0115435639595125
0.861.840779770350660.0104351825463844
0.871.843457149657290.00955794305539954
0.881.846023468871660.008874863105323
0.891.848514615912370.00832923159742076
0.91.850957932799050.00785961937866541
0.911.853375604645590.00741817065947518
0.921.855792099594760.00699228166503858
0.931.858241691043880.00662144838840818
0.941.860771520649410.00636430765514376
0.951.863443525574230.00619834871159501
0.961.86634963871690.00598843018612778
0.971.869630284325160.00578224224138086
0.981.8733789760840.0062614150529415
0.991.877246096335950.0079942214926798

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.55277235486258 & 0.00803310611992956 \tabularnewline
0.02 & 1.55671529404366 & 0.00646544160908779 \tabularnewline
0.03 & 1.56064347402847 & 0.00633662242221687 \tabularnewline
0.04 & 1.564227510518 & 0.00692761359675767 \tabularnewline
0.05 & 1.56752993115639 & 0.00734476177444782 \tabularnewline
0.06 & 1.57061505660028 & 0.00739311547435465 \tabularnewline
0.07 & 1.57348983955515 & 0.00723881151071891 \tabularnewline
0.08 & 1.57616514062777 & 0.00713822892096348 \tabularnewline
0.09 & 1.57869434726153 & 0.00731738223775262 \tabularnewline
0.1 & 1.58116894273426 & 0.00789385752218994 \tabularnewline
0.11 & 1.58369317940423 & 0.00884179019341769 \tabularnewline
0.12 & 1.58635764783202 & 0.0100337687404787 \tabularnewline
0.13 & 1.58922130200778 & 0.0113127806480415 \tabularnewline
0.14 & 1.59230425698275 & 0.0125311417080036 \tabularnewline
0.15 & 1.59558963031032 & 0.0135707520939146 \tabularnewline
0.16 & 1.59903101923999 & 0.0143458023158512 \tabularnewline
0.17 & 1.60256232680831 & 0.0147997094625748 \tabularnewline
0.18 & 1.60610776100404 & 0.014905662479396 \tabularnewline
0.19 & 1.60959101414288 & 0.0146690738700305 \tabularnewline
0.2 & 1.61294331268482 & 0.0141295581260826 \tabularnewline
0.21 & 1.61611015274361 & 0.0133539247703202 \tabularnewline
0.22 & 1.61905637943345 & 0.0124373319237609 \tabularnewline
0.23 & 1.62176915175701 & 0.0114913435799612 \tabularnewline
0.24 & 1.62425843753374 & 0.0106279811739451 \tabularnewline
0.25 & 1.62655499998063 & 0.00995822245192268 \tabularnewline
0.26 & 1.62870624446988 & 0.00956792024408071 \tabularnewline
0.27 & 1.63077063962983 & 0.00951053293085627 \tabularnewline
0.28 & 1.63281160435738 & 0.00979363287294053 \tabularnewline
0.29 & 1.63489172829209 & 0.0103931020958433 \tabularnewline
0.3 & 1.63706800213449 & 0.0112519358322536 \tabularnewline
0.31 & 1.63938845031547 & 0.0123135881360435 \tabularnewline
0.32 & 1.64189026408695 & 0.0135137523814044 \tabularnewline
0.33 & 1.64459929209747 & 0.0147966029015304 \tabularnewline
0.34 & 1.64753059074379 & 0.0161116367953027 \tabularnewline
0.35 & 1.65068967017984 & 0.0174186289158303 \tabularnewline
0.36 & 1.65407407554081 & 0.0186867032724289 \tabularnewline
0.37 & 1.6576749918113 & 0.0198865802787223 \tabularnewline
0.38 & 1.66147863440577 & 0.0210003573508011 \tabularnewline
0.39 & 1.66546727452826 & 0.0220136025936571 \tabularnewline
0.4 & 1.66961984405384 & 0.0229085885128573 \tabularnewline
0.41 & 1.67391216482487 & 0.0236697238627763 \tabularnewline
0.42 & 1.67831694230838 & 0.0242793423289482 \tabularnewline
0.43 & 1.68280373680182 & 0.0247155625014275 \tabularnewline
0.44 & 1.6873391566191 & 0.0249576645207035 \tabularnewline
0.45 & 1.69188749095782 & 0.0249897083811985 \tabularnewline
0.46 & 1.69641191190921 & 0.0248007711842115 \tabularnewline
0.47 & 1.70087623918131 & 0.0243960548853031 \tabularnewline
0.48 & 1.70524710784239 & 0.0237948438218886 \tabularnewline
0.49 & 1.7094962482639 & 0.0230305302420051 \tabularnewline
0.5 & 1.71360251587197 & 0.0221511468558662 \tabularnewline
0.51 & 1.71755331989788 & 0.0212141593439681 \tabularnewline
0.52 & 1.72134519664627 & 0.0202748829665208 \tabularnewline
0.53 & 1.72498343174409 & 0.0193907387687437 \tabularnewline
0.54 & 1.72848081711759 & 0.0186023140175191 \tabularnewline
0.55 & 1.73185578503472 & 0.0179368393308095 \tabularnewline
0.56 & 1.73513025351246 & 0.017407420182759 \tabularnewline
0.57 & 1.73832752397354 & 0.0170090674146145 \tabularnewline
0.58 & 1.74147049817308 & 0.0167317623810379 \tabularnewline
0.59 & 1.74458035633483 & 0.0165555155218802 \tabularnewline
0.6 & 1.74767570650382 & 0.0164640725973777 \tabularnewline
0.61 & 1.75077212131061 & 0.0164402667138328 \tabularnewline
0.62 & 1.7538819526498 & 0.0164680574362285 \tabularnewline
0.63 & 1.75701436050219 & 0.0165279906197102 \tabularnewline
0.64 & 1.76017558226284 & 0.0166076941994755 \tabularnewline
0.65 & 1.7633695528578 & 0.0166878017717997 \tabularnewline
0.66 & 1.76659900585657 & 0.0167585836033861 \tabularnewline
0.67 & 1.76986709917216 & 0.0168196571149225 \tabularnewline
0.68 & 1.77317941043551 & 0.0168823319337884 \tabularnewline
0.69 & 1.77654588206223 & 0.016975233675953 \tabularnewline
0.7 & 1.77998205792204 & 0.0171391077286786 \tabularnewline
0.71 & 1.78350886133547 & 0.0174167872071827 \tabularnewline
0.72 & 1.78715032114445 & 0.0178365060759666 \tabularnewline
0.73 & 1.79092909725977 & 0.0183945445372959 \tabularnewline
0.74 & 1.79486032369993 & 0.0190405561487438 \tabularnewline
0.75 & 1.79894499772919 & 0.0196779734383384 \tabularnewline
0.76 & 1.80316464603691 & 0.0201829784819802 \tabularnewline
0.77 & 1.80747904969255 & 0.0204248488330839 \tabularnewline
0.78 & 1.81182827928657 & 0.0202986087434298 \tabularnewline
0.79 & 1.81613924803435 & 0.0197492269044419 \tabularnewline
0.8 & 1.82033571566339 & 0.0187889480017807 \tabularnewline
0.81 & 1.82434959024464 & 0.0174891499988457 \tabularnewline
0.82 & 1.8281308844532 & 0.0159741589879964 \tabularnewline
0.83 & 1.83165400318347 & 0.0143915850992751 \tabularnewline
0.84 & 1.83491908236533 & 0.0128799045065702 \tabularnewline
0.85 & 1.83794848399874 & 0.0115435639595125 \tabularnewline
0.86 & 1.84077977035066 & 0.0104351825463844 \tabularnewline
0.87 & 1.84345714965729 & 0.00955794305539954 \tabularnewline
0.88 & 1.84602346887166 & 0.008874863105323 \tabularnewline
0.89 & 1.84851461591237 & 0.00832923159742076 \tabularnewline
0.9 & 1.85095793279905 & 0.00785961937866541 \tabularnewline
0.91 & 1.85337560464559 & 0.00741817065947518 \tabularnewline
0.92 & 1.85579209959476 & 0.00699228166503858 \tabularnewline
0.93 & 1.85824169104388 & 0.00662144838840818 \tabularnewline
0.94 & 1.86077152064941 & 0.00636430765514376 \tabularnewline
0.95 & 1.86344352557423 & 0.00619834871159501 \tabularnewline
0.96 & 1.8663496387169 & 0.00598843018612778 \tabularnewline
0.97 & 1.86963028432516 & 0.00578224224138086 \tabularnewline
0.98 & 1.873378976084 & 0.0062614150529415 \tabularnewline
0.99 & 1.87724609633595 & 0.0079942214926798 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176768&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]1.55277235486258[/C][C]0.00803310611992956[/C][/ROW]
[ROW][C]0.02[/C][C]1.55671529404366[/C][C]0.00646544160908779[/C][/ROW]
[ROW][C]0.03[/C][C]1.56064347402847[/C][C]0.00633662242221687[/C][/ROW]
[ROW][C]0.04[/C][C]1.564227510518[/C][C]0.00692761359675767[/C][/ROW]
[ROW][C]0.05[/C][C]1.56752993115639[/C][C]0.00734476177444782[/C][/ROW]
[ROW][C]0.06[/C][C]1.57061505660028[/C][C]0.00739311547435465[/C][/ROW]
[ROW][C]0.07[/C][C]1.57348983955515[/C][C]0.00723881151071891[/C][/ROW]
[ROW][C]0.08[/C][C]1.57616514062777[/C][C]0.00713822892096348[/C][/ROW]
[ROW][C]0.09[/C][C]1.57869434726153[/C][C]0.00731738223775262[/C][/ROW]
[ROW][C]0.1[/C][C]1.58116894273426[/C][C]0.00789385752218994[/C][/ROW]
[ROW][C]0.11[/C][C]1.58369317940423[/C][C]0.00884179019341769[/C][/ROW]
[ROW][C]0.12[/C][C]1.58635764783202[/C][C]0.0100337687404787[/C][/ROW]
[ROW][C]0.13[/C][C]1.58922130200778[/C][C]0.0113127806480415[/C][/ROW]
[ROW][C]0.14[/C][C]1.59230425698275[/C][C]0.0125311417080036[/C][/ROW]
[ROW][C]0.15[/C][C]1.59558963031032[/C][C]0.0135707520939146[/C][/ROW]
[ROW][C]0.16[/C][C]1.59903101923999[/C][C]0.0143458023158512[/C][/ROW]
[ROW][C]0.17[/C][C]1.60256232680831[/C][C]0.0147997094625748[/C][/ROW]
[ROW][C]0.18[/C][C]1.60610776100404[/C][C]0.014905662479396[/C][/ROW]
[ROW][C]0.19[/C][C]1.60959101414288[/C][C]0.0146690738700305[/C][/ROW]
[ROW][C]0.2[/C][C]1.61294331268482[/C][C]0.0141295581260826[/C][/ROW]
[ROW][C]0.21[/C][C]1.61611015274361[/C][C]0.0133539247703202[/C][/ROW]
[ROW][C]0.22[/C][C]1.61905637943345[/C][C]0.0124373319237609[/C][/ROW]
[ROW][C]0.23[/C][C]1.62176915175701[/C][C]0.0114913435799612[/C][/ROW]
[ROW][C]0.24[/C][C]1.62425843753374[/C][C]0.0106279811739451[/C][/ROW]
[ROW][C]0.25[/C][C]1.62655499998063[/C][C]0.00995822245192268[/C][/ROW]
[ROW][C]0.26[/C][C]1.62870624446988[/C][C]0.00956792024408071[/C][/ROW]
[ROW][C]0.27[/C][C]1.63077063962983[/C][C]0.00951053293085627[/C][/ROW]
[ROW][C]0.28[/C][C]1.63281160435738[/C][C]0.00979363287294053[/C][/ROW]
[ROW][C]0.29[/C][C]1.63489172829209[/C][C]0.0103931020958433[/C][/ROW]
[ROW][C]0.3[/C][C]1.63706800213449[/C][C]0.0112519358322536[/C][/ROW]
[ROW][C]0.31[/C][C]1.63938845031547[/C][C]0.0123135881360435[/C][/ROW]
[ROW][C]0.32[/C][C]1.64189026408695[/C][C]0.0135137523814044[/C][/ROW]
[ROW][C]0.33[/C][C]1.64459929209747[/C][C]0.0147966029015304[/C][/ROW]
[ROW][C]0.34[/C][C]1.64753059074379[/C][C]0.0161116367953027[/C][/ROW]
[ROW][C]0.35[/C][C]1.65068967017984[/C][C]0.0174186289158303[/C][/ROW]
[ROW][C]0.36[/C][C]1.65407407554081[/C][C]0.0186867032724289[/C][/ROW]
[ROW][C]0.37[/C][C]1.6576749918113[/C][C]0.0198865802787223[/C][/ROW]
[ROW][C]0.38[/C][C]1.66147863440577[/C][C]0.0210003573508011[/C][/ROW]
[ROW][C]0.39[/C][C]1.66546727452826[/C][C]0.0220136025936571[/C][/ROW]
[ROW][C]0.4[/C][C]1.66961984405384[/C][C]0.0229085885128573[/C][/ROW]
[ROW][C]0.41[/C][C]1.67391216482487[/C][C]0.0236697238627763[/C][/ROW]
[ROW][C]0.42[/C][C]1.67831694230838[/C][C]0.0242793423289482[/C][/ROW]
[ROW][C]0.43[/C][C]1.68280373680182[/C][C]0.0247155625014275[/C][/ROW]
[ROW][C]0.44[/C][C]1.6873391566191[/C][C]0.0249576645207035[/C][/ROW]
[ROW][C]0.45[/C][C]1.69188749095782[/C][C]0.0249897083811985[/C][/ROW]
[ROW][C]0.46[/C][C]1.69641191190921[/C][C]0.0248007711842115[/C][/ROW]
[ROW][C]0.47[/C][C]1.70087623918131[/C][C]0.0243960548853031[/C][/ROW]
[ROW][C]0.48[/C][C]1.70524710784239[/C][C]0.0237948438218886[/C][/ROW]
[ROW][C]0.49[/C][C]1.7094962482639[/C][C]0.0230305302420051[/C][/ROW]
[ROW][C]0.5[/C][C]1.71360251587197[/C][C]0.0221511468558662[/C][/ROW]
[ROW][C]0.51[/C][C]1.71755331989788[/C][C]0.0212141593439681[/C][/ROW]
[ROW][C]0.52[/C][C]1.72134519664627[/C][C]0.0202748829665208[/C][/ROW]
[ROW][C]0.53[/C][C]1.72498343174409[/C][C]0.0193907387687437[/C][/ROW]
[ROW][C]0.54[/C][C]1.72848081711759[/C][C]0.0186023140175191[/C][/ROW]
[ROW][C]0.55[/C][C]1.73185578503472[/C][C]0.0179368393308095[/C][/ROW]
[ROW][C]0.56[/C][C]1.73513025351246[/C][C]0.017407420182759[/C][/ROW]
[ROW][C]0.57[/C][C]1.73832752397354[/C][C]0.0170090674146145[/C][/ROW]
[ROW][C]0.58[/C][C]1.74147049817308[/C][C]0.0167317623810379[/C][/ROW]
[ROW][C]0.59[/C][C]1.74458035633483[/C][C]0.0165555155218802[/C][/ROW]
[ROW][C]0.6[/C][C]1.74767570650382[/C][C]0.0164640725973777[/C][/ROW]
[ROW][C]0.61[/C][C]1.75077212131061[/C][C]0.0164402667138328[/C][/ROW]
[ROW][C]0.62[/C][C]1.7538819526498[/C][C]0.0164680574362285[/C][/ROW]
[ROW][C]0.63[/C][C]1.75701436050219[/C][C]0.0165279906197102[/C][/ROW]
[ROW][C]0.64[/C][C]1.76017558226284[/C][C]0.0166076941994755[/C][/ROW]
[ROW][C]0.65[/C][C]1.7633695528578[/C][C]0.0166878017717997[/C][/ROW]
[ROW][C]0.66[/C][C]1.76659900585657[/C][C]0.0167585836033861[/C][/ROW]
[ROW][C]0.67[/C][C]1.76986709917216[/C][C]0.0168196571149225[/C][/ROW]
[ROW][C]0.68[/C][C]1.77317941043551[/C][C]0.0168823319337884[/C][/ROW]
[ROW][C]0.69[/C][C]1.77654588206223[/C][C]0.016975233675953[/C][/ROW]
[ROW][C]0.7[/C][C]1.77998205792204[/C][C]0.0171391077286786[/C][/ROW]
[ROW][C]0.71[/C][C]1.78350886133547[/C][C]0.0174167872071827[/C][/ROW]
[ROW][C]0.72[/C][C]1.78715032114445[/C][C]0.0178365060759666[/C][/ROW]
[ROW][C]0.73[/C][C]1.79092909725977[/C][C]0.0183945445372959[/C][/ROW]
[ROW][C]0.74[/C][C]1.79486032369993[/C][C]0.0190405561487438[/C][/ROW]
[ROW][C]0.75[/C][C]1.79894499772919[/C][C]0.0196779734383384[/C][/ROW]
[ROW][C]0.76[/C][C]1.80316464603691[/C][C]0.0201829784819802[/C][/ROW]
[ROW][C]0.77[/C][C]1.80747904969255[/C][C]0.0204248488330839[/C][/ROW]
[ROW][C]0.78[/C][C]1.81182827928657[/C][C]0.0202986087434298[/C][/ROW]
[ROW][C]0.79[/C][C]1.81613924803435[/C][C]0.0197492269044419[/C][/ROW]
[ROW][C]0.8[/C][C]1.82033571566339[/C][C]0.0187889480017807[/C][/ROW]
[ROW][C]0.81[/C][C]1.82434959024464[/C][C]0.0174891499988457[/C][/ROW]
[ROW][C]0.82[/C][C]1.8281308844532[/C][C]0.0159741589879964[/C][/ROW]
[ROW][C]0.83[/C][C]1.83165400318347[/C][C]0.0143915850992751[/C][/ROW]
[ROW][C]0.84[/C][C]1.83491908236533[/C][C]0.0128799045065702[/C][/ROW]
[ROW][C]0.85[/C][C]1.83794848399874[/C][C]0.0115435639595125[/C][/ROW]
[ROW][C]0.86[/C][C]1.84077977035066[/C][C]0.0104351825463844[/C][/ROW]
[ROW][C]0.87[/C][C]1.84345714965729[/C][C]0.00955794305539954[/C][/ROW]
[ROW][C]0.88[/C][C]1.84602346887166[/C][C]0.008874863105323[/C][/ROW]
[ROW][C]0.89[/C][C]1.84851461591237[/C][C]0.00832923159742076[/C][/ROW]
[ROW][C]0.9[/C][C]1.85095793279905[/C][C]0.00785961937866541[/C][/ROW]
[ROW][C]0.91[/C][C]1.85337560464559[/C][C]0.00741817065947518[/C][/ROW]
[ROW][C]0.92[/C][C]1.85579209959476[/C][C]0.00699228166503858[/C][/ROW]
[ROW][C]0.93[/C][C]1.85824169104388[/C][C]0.00662144838840818[/C][/ROW]
[ROW][C]0.94[/C][C]1.86077152064941[/C][C]0.00636430765514376[/C][/ROW]
[ROW][C]0.95[/C][C]1.86344352557423[/C][C]0.00619834871159501[/C][/ROW]
[ROW][C]0.96[/C][C]1.8663496387169[/C][C]0.00598843018612778[/C][/ROW]
[ROW][C]0.97[/C][C]1.86963028432516[/C][C]0.00578224224138086[/C][/ROW]
[ROW][C]0.98[/C][C]1.873378976084[/C][C]0.0062614150529415[/C][/ROW]
[ROW][C]0.99[/C][C]1.87724609633595[/C][C]0.0079942214926798[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176768&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176768&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
0.011.552772354862580.00803310611992956
0.021.556715294043660.00646544160908779
0.031.560643474028470.00633662242221687
0.041.5642275105180.00692761359675767
0.051.567529931156390.00734476177444782
0.061.570615056600280.00739311547435465
0.071.573489839555150.00723881151071891
0.081.576165140627770.00713822892096348
0.091.578694347261530.00731738223775262
0.11.581168942734260.00789385752218994
0.111.583693179404230.00884179019341769
0.121.586357647832020.0100337687404787
0.131.589221302007780.0113127806480415
0.141.592304256982750.0125311417080036
0.151.595589630310320.0135707520939146
0.161.599031019239990.0143458023158512
0.171.602562326808310.0147997094625748
0.181.606107761004040.014905662479396
0.191.609591014142880.0146690738700305
0.21.612943312684820.0141295581260826
0.211.616110152743610.0133539247703202
0.221.619056379433450.0124373319237609
0.231.621769151757010.0114913435799612
0.241.624258437533740.0106279811739451
0.251.626554999980630.00995822245192268
0.261.628706244469880.00956792024408071
0.271.630770639629830.00951053293085627
0.281.632811604357380.00979363287294053
0.291.634891728292090.0103931020958433
0.31.637068002134490.0112519358322536
0.311.639388450315470.0123135881360435
0.321.641890264086950.0135137523814044
0.331.644599292097470.0147966029015304
0.341.647530590743790.0161116367953027
0.351.650689670179840.0174186289158303
0.361.654074075540810.0186867032724289
0.371.65767499181130.0198865802787223
0.381.661478634405770.0210003573508011
0.391.665467274528260.0220136025936571
0.41.669619844053840.0229085885128573
0.411.673912164824870.0236697238627763
0.421.678316942308380.0242793423289482
0.431.682803736801820.0247155625014275
0.441.68733915661910.0249576645207035
0.451.691887490957820.0249897083811985
0.461.696411911909210.0248007711842115
0.471.700876239181310.0243960548853031
0.481.705247107842390.0237948438218886
0.491.70949624826390.0230305302420051
0.51.713602515871970.0221511468558662
0.511.717553319897880.0212141593439681
0.521.721345196646270.0202748829665208
0.531.724983431744090.0193907387687437
0.541.728480817117590.0186023140175191
0.551.731855785034720.0179368393308095
0.561.735130253512460.017407420182759
0.571.738327523973540.0170090674146145
0.581.741470498173080.0167317623810379
0.591.744580356334830.0165555155218802
0.61.747675706503820.0164640725973777
0.611.750772121310610.0164402667138328
0.621.75388195264980.0164680574362285
0.631.757014360502190.0165279906197102
0.641.760175582262840.0166076941994755
0.651.76336955285780.0166878017717997
0.661.766599005856570.0167585836033861
0.671.769867099172160.0168196571149225
0.681.773179410435510.0168823319337884
0.691.776545882062230.016975233675953
0.71.779982057922040.0171391077286786
0.711.783508861335470.0174167872071827
0.721.787150321144450.0178365060759666
0.731.790929097259770.0183945445372959
0.741.794860323699930.0190405561487438
0.751.798944997729190.0196779734383384
0.761.803164646036910.0201829784819802
0.771.807479049692550.0204248488330839
0.781.811828279286570.0202986087434298
0.791.816139248034350.0197492269044419
0.81.820335715663390.0187889480017807
0.811.824349590244640.0174891499988457
0.821.82813088445320.0159741589879964
0.831.831654003183470.0143915850992751
0.841.834919082365330.0128799045065702
0.851.837948483998740.0115435639595125
0.861.840779770350660.0104351825463844
0.871.843457149657290.00955794305539954
0.881.846023468871660.008874863105323
0.891.848514615912370.00832923159742076
0.91.850957932799050.00785961937866541
0.911.853375604645590.00741817065947518
0.921.855792099594760.00699228166503858
0.931.858241691043880.00662144838840818
0.941.860771520649410.00636430765514376
0.951.863443525574230.00619834871159501
0.961.86634963871690.00598843018612778
0.971.869630284325160.00578224224138086
0.981.8733789760840.0062614150529415
0.991.877246096335950.0079942214926798



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')