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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 computationSun, 16 Feb 2014 12:35:54 -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/2014/Feb/16/t1392572234ola822wlmcw36e2.htm/, Retrieved Thu, 16 May 2024 00:34:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233793, Retrieved Thu, 16 May 2024 00:34:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact39

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] [indicator consume...] [2014-02-16 17:35:54] [7e257b479a74cf54c1843b0823401607] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0
-2
-4
-6
-2
1
7
2
2
13
7
-1
1
0
0
5
3
6
7
-6
-8
-5
-14
-13
-15
-14
-10
-14
-18
-22
-24
-17
-16
-17
-22
-25
-18
-23
-20
-9
-4
0
3
14
13
12
16
7
2
1
7
10
3
2
12
14
11
13
17
14
7
16
5
5
15
9
4
-9
-14
-4
-19
-10
-22

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233793&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233793&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233793&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.63790774298930.989146400903352
0.02-24.06730206495841.03055377905608
0.03-23.45065005514581.06417261312615
0.04-22.86789871081571.08619579598986
0.05-22.3278168656691.15583719277672
0.06-21.80806956344421.30536602829754
0.07-21.28303768854621.50169940419137
0.08-20.73798950294481.68542762059947
0.09-20.17270257690871.8132024225794
0.1-19.59760988933731.87226076137913
0.11-19.02676266181031.87604359637422
0.12-18.47171035031371.85099825250057
0.13-17.9384573654321.82285477058301
0.14-17.4274704638111.80786821489773
0.15-16.93544697088651.81114049205802
0.16-16.45739562119541.83070500939545
0.17-15.98810213423571.86309308997251
0.18-15.5227262378481.90742435383377
0.19-15.05676410005441.96637976913451
0.2-14.58579822987382.04438793254108
0.21-14.105394248642.14456702262513
0.22-13.61130890424872.26605822002148
0.23-13.09996652114122.40301222001888
0.24-12.56902507985842.54579608778961
0.25-12.01782076736542.68323773661535
0.26-11.44753751008282.80509773817846
0.27-10.86105329992752.90383401232699
0.28-10.26251914358322.97540524693066
0.29-9.656792893962493.01914023158822
0.3-9.048865308944823.03691094086076
0.31-8.443387421975913.03221289152444
0.32-7.844357668366363.00908903848962
0.33-7.254976743771692.97154374968176
0.34-6.677643177219452.92314946940012
0.35-6.114047664247022.86685208391157
0.36-5.565325011284742.80492332891538
0.37-5.03223072605442.73883165704922
0.38-4.515317432467512.66918376936752
0.39-4.015090914317042.59571899248702
0.4-3.532127440686082.51750877923199
0.41-3.06713625079312.43325690697871
0.42-2.620956703500782.34182043059073
0.43-2.194489579334022.24268866816184
0.44-1.788574645701242.13635896862129
0.45-1.403838263481892.02448117158238
0.46-1.040541661459781.90978656648857
0.47-0.6984600493178721.79577048985104
0.48-0.3768148780252271.6862295885377
0.49-0.07426860134323991.5847846300178
0.50.2110228877558771.49446038747542
0.510.4813163085975761.41744320705188
0.520.739167249807121.35503341975182
0.530.9873171646806511.30778437896765
0.541.228594874551761.27572696130492
0.551.465836738265951.25859589617272
0.561.701820499168241.25592518889066
0.571.939201971013351.26700224360127
0.582.18044272414981.29071251536462
0.592.427720747912581.32532623836912
0.62.682823291718741.36838145644586
0.612.947029576320681.41665154014582
0.623.22099868736561.46627345911714
0.633.50468322420471.51302108140111
0.643.797291568475591.55264414643612
0.654.097321014612991.5812817200734
0.664.402680624001341.59593732163611
0.674.7109161760441.59491197403941
0.685.019538889556031.57829175076832
0.695.326443260746151.54835414232076
0.75.630376870728781.50986938064081
0.715.931398276511931.47020384738319
0.726.231233713172021.43899074719617
0.736.533428505937541.42708663462375
0.746.843195596849271.44450575912875
0.757.166899844781611.49748316323738
0.767.511184032416021.58570341113235
0.777.881831267508371.70115156652365
0.788.282547936280011.82913340831709
0.798.713913798354571.95087011231228
0.89.172754910359162.04669957805382
0.819.652136148993412.09951362583291
0.8210.14204803531352.0977618946083
0.8310.63070383047592.0375343685576
0.8411.10621043094111.92326529600869
0.8511.55827886569181.76680604007432
0.8611.97963707462131.58504910718932
0.8712.36691481593321.39677692892798
0.8812.7209617502411.21943918312394
0.8913.04675040166121.06699760418206
0.913.35306664282880.949543405045855
0.9113.65197056255210.874674839165204
0.9213.95755428364940.847687311256267
0.9314.28324132666960.865255813692887
0.9414.63758493139030.904178573972922
0.9515.02080473466880.920248787239126
0.9615.42661020016270.870942225708816
0.9715.85044919622040.76283511237121
0.9816.29009812579520.702917837697275
0.9916.71164969652230.813931660445904

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6379077429893 & 0.989146400903352 \tabularnewline
0.02 & -24.0673020649584 & 1.03055377905608 \tabularnewline
0.03 & -23.4506500551458 & 1.06417261312615 \tabularnewline
0.04 & -22.8678987108157 & 1.08619579598986 \tabularnewline
0.05 & -22.327816865669 & 1.15583719277672 \tabularnewline
0.06 & -21.8080695634442 & 1.30536602829754 \tabularnewline
0.07 & -21.2830376885462 & 1.50169940419137 \tabularnewline
0.08 & -20.7379895029448 & 1.68542762059947 \tabularnewline
0.09 & -20.1727025769087 & 1.8132024225794 \tabularnewline
0.1 & -19.5976098893373 & 1.87226076137913 \tabularnewline
0.11 & -19.0267626618103 & 1.87604359637422 \tabularnewline
0.12 & -18.4717103503137 & 1.85099825250057 \tabularnewline
0.13 & -17.938457365432 & 1.82285477058301 \tabularnewline
0.14 & -17.427470463811 & 1.80786821489773 \tabularnewline
0.15 & -16.9354469708865 & 1.81114049205802 \tabularnewline
0.16 & -16.4573956211954 & 1.83070500939545 \tabularnewline
0.17 & -15.9881021342357 & 1.86309308997251 \tabularnewline
0.18 & -15.522726237848 & 1.90742435383377 \tabularnewline
0.19 & -15.0567641000544 & 1.96637976913451 \tabularnewline
0.2 & -14.5857982298738 & 2.04438793254108 \tabularnewline
0.21 & -14.10539424864 & 2.14456702262513 \tabularnewline
0.22 & -13.6113089042487 & 2.26605822002148 \tabularnewline
0.23 & -13.0999665211412 & 2.40301222001888 \tabularnewline
0.24 & -12.5690250798584 & 2.54579608778961 \tabularnewline
0.25 & -12.0178207673654 & 2.68323773661535 \tabularnewline
0.26 & -11.4475375100828 & 2.80509773817846 \tabularnewline
0.27 & -10.8610532999275 & 2.90383401232699 \tabularnewline
0.28 & -10.2625191435832 & 2.97540524693066 \tabularnewline
0.29 & -9.65679289396249 & 3.01914023158822 \tabularnewline
0.3 & -9.04886530894482 & 3.03691094086076 \tabularnewline
0.31 & -8.44338742197591 & 3.03221289152444 \tabularnewline
0.32 & -7.84435766836636 & 3.00908903848962 \tabularnewline
0.33 & -7.25497674377169 & 2.97154374968176 \tabularnewline
0.34 & -6.67764317721945 & 2.92314946940012 \tabularnewline
0.35 & -6.11404766424702 & 2.86685208391157 \tabularnewline
0.36 & -5.56532501128474 & 2.80492332891538 \tabularnewline
0.37 & -5.0322307260544 & 2.73883165704922 \tabularnewline
0.38 & -4.51531743246751 & 2.66918376936752 \tabularnewline
0.39 & -4.01509091431704 & 2.59571899248702 \tabularnewline
0.4 & -3.53212744068608 & 2.51750877923199 \tabularnewline
0.41 & -3.0671362507931 & 2.43325690697871 \tabularnewline
0.42 & -2.62095670350078 & 2.34182043059073 \tabularnewline
0.43 & -2.19448957933402 & 2.24268866816184 \tabularnewline
0.44 & -1.78857464570124 & 2.13635896862129 \tabularnewline
0.45 & -1.40383826348189 & 2.02448117158238 \tabularnewline
0.46 & -1.04054166145978 & 1.90978656648857 \tabularnewline
0.47 & -0.698460049317872 & 1.79577048985104 \tabularnewline
0.48 & -0.376814878025227 & 1.6862295885377 \tabularnewline
0.49 & -0.0742686013432399 & 1.5847846300178 \tabularnewline
0.5 & 0.211022887755877 & 1.49446038747542 \tabularnewline
0.51 & 0.481316308597576 & 1.41744320705188 \tabularnewline
0.52 & 0.73916724980712 & 1.35503341975182 \tabularnewline
0.53 & 0.987317164680651 & 1.30778437896765 \tabularnewline
0.54 & 1.22859487455176 & 1.27572696130492 \tabularnewline
0.55 & 1.46583673826595 & 1.25859589617272 \tabularnewline
0.56 & 1.70182049916824 & 1.25592518889066 \tabularnewline
0.57 & 1.93920197101335 & 1.26700224360127 \tabularnewline
0.58 & 2.1804427241498 & 1.29071251536462 \tabularnewline
0.59 & 2.42772074791258 & 1.32532623836912 \tabularnewline
0.6 & 2.68282329171874 & 1.36838145644586 \tabularnewline
0.61 & 2.94702957632068 & 1.41665154014582 \tabularnewline
0.62 & 3.2209986873656 & 1.46627345911714 \tabularnewline
0.63 & 3.5046832242047 & 1.51302108140111 \tabularnewline
0.64 & 3.79729156847559 & 1.55264414643612 \tabularnewline
0.65 & 4.09732101461299 & 1.5812817200734 \tabularnewline
0.66 & 4.40268062400134 & 1.59593732163611 \tabularnewline
0.67 & 4.710916176044 & 1.59491197403941 \tabularnewline
0.68 & 5.01953888955603 & 1.57829175076832 \tabularnewline
0.69 & 5.32644326074615 & 1.54835414232076 \tabularnewline
0.7 & 5.63037687072878 & 1.50986938064081 \tabularnewline
0.71 & 5.93139827651193 & 1.47020384738319 \tabularnewline
0.72 & 6.23123371317202 & 1.43899074719617 \tabularnewline
0.73 & 6.53342850593754 & 1.42708663462375 \tabularnewline
0.74 & 6.84319559684927 & 1.44450575912875 \tabularnewline
0.75 & 7.16689984478161 & 1.49748316323738 \tabularnewline
0.76 & 7.51118403241602 & 1.58570341113235 \tabularnewline
0.77 & 7.88183126750837 & 1.70115156652365 \tabularnewline
0.78 & 8.28254793628001 & 1.82913340831709 \tabularnewline
0.79 & 8.71391379835457 & 1.95087011231228 \tabularnewline
0.8 & 9.17275491035916 & 2.04669957805382 \tabularnewline
0.81 & 9.65213614899341 & 2.09951362583291 \tabularnewline
0.82 & 10.1420480353135 & 2.0977618946083 \tabularnewline
0.83 & 10.6307038304759 & 2.0375343685576 \tabularnewline
0.84 & 11.1062104309411 & 1.92326529600869 \tabularnewline
0.85 & 11.5582788656918 & 1.76680604007432 \tabularnewline
0.86 & 11.9796370746213 & 1.58504910718932 \tabularnewline
0.87 & 12.3669148159332 & 1.39677692892798 \tabularnewline
0.88 & 12.720961750241 & 1.21943918312394 \tabularnewline
0.89 & 13.0467504016612 & 1.06699760418206 \tabularnewline
0.9 & 13.3530666428288 & 0.949543405045855 \tabularnewline
0.91 & 13.6519705625521 & 0.874674839165204 \tabularnewline
0.92 & 13.9575542836494 & 0.847687311256267 \tabularnewline
0.93 & 14.2832413266696 & 0.865255813692887 \tabularnewline
0.94 & 14.6375849313903 & 0.904178573972922 \tabularnewline
0.95 & 15.0208047346688 & 0.920248787239126 \tabularnewline
0.96 & 15.4266102001627 & 0.870942225708816 \tabularnewline
0.97 & 15.8504491962204 & 0.76283511237121 \tabularnewline
0.98 & 16.2900981257952 & 0.702917837697275 \tabularnewline
0.99 & 16.7116496965223 & 0.813931660445904 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233793&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]-24.6379077429893[/C][C]0.989146400903352[/C][/ROW]
[ROW][C]0.02[/C][C]-24.0673020649584[/C][C]1.03055377905608[/C][/ROW]
[ROW][C]0.03[/C][C]-23.4506500551458[/C][C]1.06417261312615[/C][/ROW]
[ROW][C]0.04[/C][C]-22.8678987108157[/C][C]1.08619579598986[/C][/ROW]
[ROW][C]0.05[/C][C]-22.327816865669[/C][C]1.15583719277672[/C][/ROW]
[ROW][C]0.06[/C][C]-21.8080695634442[/C][C]1.30536602829754[/C][/ROW]
[ROW][C]0.07[/C][C]-21.2830376885462[/C][C]1.50169940419137[/C][/ROW]
[ROW][C]0.08[/C][C]-20.7379895029448[/C][C]1.68542762059947[/C][/ROW]
[ROW][C]0.09[/C][C]-20.1727025769087[/C][C]1.8132024225794[/C][/ROW]
[ROW][C]0.1[/C][C]-19.5976098893373[/C][C]1.87226076137913[/C][/ROW]
[ROW][C]0.11[/C][C]-19.0267626618103[/C][C]1.87604359637422[/C][/ROW]
[ROW][C]0.12[/C][C]-18.4717103503137[/C][C]1.85099825250057[/C][/ROW]
[ROW][C]0.13[/C][C]-17.938457365432[/C][C]1.82285477058301[/C][/ROW]
[ROW][C]0.14[/C][C]-17.427470463811[/C][C]1.80786821489773[/C][/ROW]
[ROW][C]0.15[/C][C]-16.9354469708865[/C][C]1.81114049205802[/C][/ROW]
[ROW][C]0.16[/C][C]-16.4573956211954[/C][C]1.83070500939545[/C][/ROW]
[ROW][C]0.17[/C][C]-15.9881021342357[/C][C]1.86309308997251[/C][/ROW]
[ROW][C]0.18[/C][C]-15.522726237848[/C][C]1.90742435383377[/C][/ROW]
[ROW][C]0.19[/C][C]-15.0567641000544[/C][C]1.96637976913451[/C][/ROW]
[ROW][C]0.2[/C][C]-14.5857982298738[/C][C]2.04438793254108[/C][/ROW]
[ROW][C]0.21[/C][C]-14.10539424864[/C][C]2.14456702262513[/C][/ROW]
[ROW][C]0.22[/C][C]-13.6113089042487[/C][C]2.26605822002148[/C][/ROW]
[ROW][C]0.23[/C][C]-13.0999665211412[/C][C]2.40301222001888[/C][/ROW]
[ROW][C]0.24[/C][C]-12.5690250798584[/C][C]2.54579608778961[/C][/ROW]
[ROW][C]0.25[/C][C]-12.0178207673654[/C][C]2.68323773661535[/C][/ROW]
[ROW][C]0.26[/C][C]-11.4475375100828[/C][C]2.80509773817846[/C][/ROW]
[ROW][C]0.27[/C][C]-10.8610532999275[/C][C]2.90383401232699[/C][/ROW]
[ROW][C]0.28[/C][C]-10.2625191435832[/C][C]2.97540524693066[/C][/ROW]
[ROW][C]0.29[/C][C]-9.65679289396249[/C][C]3.01914023158822[/C][/ROW]
[ROW][C]0.3[/C][C]-9.04886530894482[/C][C]3.03691094086076[/C][/ROW]
[ROW][C]0.31[/C][C]-8.44338742197591[/C][C]3.03221289152444[/C][/ROW]
[ROW][C]0.32[/C][C]-7.84435766836636[/C][C]3.00908903848962[/C][/ROW]
[ROW][C]0.33[/C][C]-7.25497674377169[/C][C]2.97154374968176[/C][/ROW]
[ROW][C]0.34[/C][C]-6.67764317721945[/C][C]2.92314946940012[/C][/ROW]
[ROW][C]0.35[/C][C]-6.11404766424702[/C][C]2.86685208391157[/C][/ROW]
[ROW][C]0.36[/C][C]-5.56532501128474[/C][C]2.80492332891538[/C][/ROW]
[ROW][C]0.37[/C][C]-5.0322307260544[/C][C]2.73883165704922[/C][/ROW]
[ROW][C]0.38[/C][C]-4.51531743246751[/C][C]2.66918376936752[/C][/ROW]
[ROW][C]0.39[/C][C]-4.01509091431704[/C][C]2.59571899248702[/C][/ROW]
[ROW][C]0.4[/C][C]-3.53212744068608[/C][C]2.51750877923199[/C][/ROW]
[ROW][C]0.41[/C][C]-3.0671362507931[/C][C]2.43325690697871[/C][/ROW]
[ROW][C]0.42[/C][C]-2.62095670350078[/C][C]2.34182043059073[/C][/ROW]
[ROW][C]0.43[/C][C]-2.19448957933402[/C][C]2.24268866816184[/C][/ROW]
[ROW][C]0.44[/C][C]-1.78857464570124[/C][C]2.13635896862129[/C][/ROW]
[ROW][C]0.45[/C][C]-1.40383826348189[/C][C]2.02448117158238[/C][/ROW]
[ROW][C]0.46[/C][C]-1.04054166145978[/C][C]1.90978656648857[/C][/ROW]
[ROW][C]0.47[/C][C]-0.698460049317872[/C][C]1.79577048985104[/C][/ROW]
[ROW][C]0.48[/C][C]-0.376814878025227[/C][C]1.6862295885377[/C][/ROW]
[ROW][C]0.49[/C][C]-0.0742686013432399[/C][C]1.5847846300178[/C][/ROW]
[ROW][C]0.5[/C][C]0.211022887755877[/C][C]1.49446038747542[/C][/ROW]
[ROW][C]0.51[/C][C]0.481316308597576[/C][C]1.41744320705188[/C][/ROW]
[ROW][C]0.52[/C][C]0.73916724980712[/C][C]1.35503341975182[/C][/ROW]
[ROW][C]0.53[/C][C]0.987317164680651[/C][C]1.30778437896765[/C][/ROW]
[ROW][C]0.54[/C][C]1.22859487455176[/C][C]1.27572696130492[/C][/ROW]
[ROW][C]0.55[/C][C]1.46583673826595[/C][C]1.25859589617272[/C][/ROW]
[ROW][C]0.56[/C][C]1.70182049916824[/C][C]1.25592518889066[/C][/ROW]
[ROW][C]0.57[/C][C]1.93920197101335[/C][C]1.26700224360127[/C][/ROW]
[ROW][C]0.58[/C][C]2.1804427241498[/C][C]1.29071251536462[/C][/ROW]
[ROW][C]0.59[/C][C]2.42772074791258[/C][C]1.32532623836912[/C][/ROW]
[ROW][C]0.6[/C][C]2.68282329171874[/C][C]1.36838145644586[/C][/ROW]
[ROW][C]0.61[/C][C]2.94702957632068[/C][C]1.41665154014582[/C][/ROW]
[ROW][C]0.62[/C][C]3.2209986873656[/C][C]1.46627345911714[/C][/ROW]
[ROW][C]0.63[/C][C]3.5046832242047[/C][C]1.51302108140111[/C][/ROW]
[ROW][C]0.64[/C][C]3.79729156847559[/C][C]1.55264414643612[/C][/ROW]
[ROW][C]0.65[/C][C]4.09732101461299[/C][C]1.5812817200734[/C][/ROW]
[ROW][C]0.66[/C][C]4.40268062400134[/C][C]1.59593732163611[/C][/ROW]
[ROW][C]0.67[/C][C]4.710916176044[/C][C]1.59491197403941[/C][/ROW]
[ROW][C]0.68[/C][C]5.01953888955603[/C][C]1.57829175076832[/C][/ROW]
[ROW][C]0.69[/C][C]5.32644326074615[/C][C]1.54835414232076[/C][/ROW]
[ROW][C]0.7[/C][C]5.63037687072878[/C][C]1.50986938064081[/C][/ROW]
[ROW][C]0.71[/C][C]5.93139827651193[/C][C]1.47020384738319[/C][/ROW]
[ROW][C]0.72[/C][C]6.23123371317202[/C][C]1.43899074719617[/C][/ROW]
[ROW][C]0.73[/C][C]6.53342850593754[/C][C]1.42708663462375[/C][/ROW]
[ROW][C]0.74[/C][C]6.84319559684927[/C][C]1.44450575912875[/C][/ROW]
[ROW][C]0.75[/C][C]7.16689984478161[/C][C]1.49748316323738[/C][/ROW]
[ROW][C]0.76[/C][C]7.51118403241602[/C][C]1.58570341113235[/C][/ROW]
[ROW][C]0.77[/C][C]7.88183126750837[/C][C]1.70115156652365[/C][/ROW]
[ROW][C]0.78[/C][C]8.28254793628001[/C][C]1.82913340831709[/C][/ROW]
[ROW][C]0.79[/C][C]8.71391379835457[/C][C]1.95087011231228[/C][/ROW]
[ROW][C]0.8[/C][C]9.17275491035916[/C][C]2.04669957805382[/C][/ROW]
[ROW][C]0.81[/C][C]9.65213614899341[/C][C]2.09951362583291[/C][/ROW]
[ROW][C]0.82[/C][C]10.1420480353135[/C][C]2.0977618946083[/C][/ROW]
[ROW][C]0.83[/C][C]10.6307038304759[/C][C]2.0375343685576[/C][/ROW]
[ROW][C]0.84[/C][C]11.1062104309411[/C][C]1.92326529600869[/C][/ROW]
[ROW][C]0.85[/C][C]11.5582788656918[/C][C]1.76680604007432[/C][/ROW]
[ROW][C]0.86[/C][C]11.9796370746213[/C][C]1.58504910718932[/C][/ROW]
[ROW][C]0.87[/C][C]12.3669148159332[/C][C]1.39677692892798[/C][/ROW]
[ROW][C]0.88[/C][C]12.720961750241[/C][C]1.21943918312394[/C][/ROW]
[ROW][C]0.89[/C][C]13.0467504016612[/C][C]1.06699760418206[/C][/ROW]
[ROW][C]0.9[/C][C]13.3530666428288[/C][C]0.949543405045855[/C][/ROW]
[ROW][C]0.91[/C][C]13.6519705625521[/C][C]0.874674839165204[/C][/ROW]
[ROW][C]0.92[/C][C]13.9575542836494[/C][C]0.847687311256267[/C][/ROW]
[ROW][C]0.93[/C][C]14.2832413266696[/C][C]0.865255813692887[/C][/ROW]
[ROW][C]0.94[/C][C]14.6375849313903[/C][C]0.904178573972922[/C][/ROW]
[ROW][C]0.95[/C][C]15.0208047346688[/C][C]0.920248787239126[/C][/ROW]
[ROW][C]0.96[/C][C]15.4266102001627[/C][C]0.870942225708816[/C][/ROW]
[ROW][C]0.97[/C][C]15.8504491962204[/C][C]0.76283511237121[/C][/ROW]
[ROW][C]0.98[/C][C]16.2900981257952[/C][C]0.702917837697275[/C][/ROW]
[ROW][C]0.99[/C][C]16.7116496965223[/C][C]0.813931660445904[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233793&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233793&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
0.01-24.63790774298930.989146400903352
0.02-24.06730206495841.03055377905608
0.03-23.45065005514581.06417261312615
0.04-22.86789871081571.08619579598986
0.05-22.3278168656691.15583719277672
0.06-21.80806956344421.30536602829754
0.07-21.28303768854621.50169940419137
0.08-20.73798950294481.68542762059947
0.09-20.17270257690871.8132024225794
0.1-19.59760988933731.87226076137913
0.11-19.02676266181031.87604359637422
0.12-18.47171035031371.85099825250057
0.13-17.9384573654321.82285477058301
0.14-17.4274704638111.80786821489773
0.15-16.93544697088651.81114049205802
0.16-16.45739562119541.83070500939545
0.17-15.98810213423571.86309308997251
0.18-15.5227262378481.90742435383377
0.19-15.05676410005441.96637976913451
0.2-14.58579822987382.04438793254108
0.21-14.105394248642.14456702262513
0.22-13.61130890424872.26605822002148
0.23-13.09996652114122.40301222001888
0.24-12.56902507985842.54579608778961
0.25-12.01782076736542.68323773661535
0.26-11.44753751008282.80509773817846
0.27-10.86105329992752.90383401232699
0.28-10.26251914358322.97540524693066
0.29-9.656792893962493.01914023158822
0.3-9.048865308944823.03691094086076
0.31-8.443387421975913.03221289152444
0.32-7.844357668366363.00908903848962
0.33-7.254976743771692.97154374968176
0.34-6.677643177219452.92314946940012
0.35-6.114047664247022.86685208391157
0.36-5.565325011284742.80492332891538
0.37-5.03223072605442.73883165704922
0.38-4.515317432467512.66918376936752
0.39-4.015090914317042.59571899248702
0.4-3.532127440686082.51750877923199
0.41-3.06713625079312.43325690697871
0.42-2.620956703500782.34182043059073
0.43-2.194489579334022.24268866816184
0.44-1.788574645701242.13635896862129
0.45-1.403838263481892.02448117158238
0.46-1.040541661459781.90978656648857
0.47-0.6984600493178721.79577048985104
0.48-0.3768148780252271.6862295885377
0.49-0.07426860134323991.5847846300178
0.50.2110228877558771.49446038747542
0.510.4813163085975761.41744320705188
0.520.739167249807121.35503341975182
0.530.9873171646806511.30778437896765
0.541.228594874551761.27572696130492
0.551.465836738265951.25859589617272
0.561.701820499168241.25592518889066
0.571.939201971013351.26700224360127
0.582.18044272414981.29071251536462
0.592.427720747912581.32532623836912
0.62.682823291718741.36838145644586
0.612.947029576320681.41665154014582
0.623.22099868736561.46627345911714
0.633.50468322420471.51302108140111
0.643.797291568475591.55264414643612
0.654.097321014612991.5812817200734
0.664.402680624001341.59593732163611
0.674.7109161760441.59491197403941
0.685.019538889556031.57829175076832
0.695.326443260746151.54835414232076
0.75.630376870728781.50986938064081
0.715.931398276511931.47020384738319
0.726.231233713172021.43899074719617
0.736.533428505937541.42708663462375
0.746.843195596849271.44450575912875
0.757.166899844781611.49748316323738
0.767.511184032416021.58570341113235
0.777.881831267508371.70115156652365
0.788.282547936280011.82913340831709
0.798.713913798354571.95087011231228
0.89.172754910359162.04669957805382
0.819.652136148993412.09951362583291
0.8210.14204803531352.0977618946083
0.8310.63070383047592.0375343685576
0.8411.10621043094111.92326529600869
0.8511.55827886569181.76680604007432
0.8611.97963707462131.58504910718932
0.8712.36691481593321.39677692892798
0.8812.7209617502411.21943918312394
0.8913.04675040166121.06699760418206
0.913.35306664282880.949543405045855
0.9113.65197056255210.874674839165204
0.9213.95755428364940.847687311256267
0.9314.28324132666960.865255813692887
0.9414.63758493139030.904178573972922
0.9515.02080473466880.920248787239126
0.9615.42661020016270.870942225708816
0.9715.85044919622040.76283511237121
0.9816.29009812579520.702917837697275
0.9916.71164969652230.813931660445904


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')