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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 computationWed, 01 Oct 2014 18:37:37 +0100
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/Oct/01/t1412185076irhh8xzqtwt8ca5.htm/, Retrieved Mon, 13 May 2024 22:26:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237745, Retrieved Mon, 13 May 2024 22:26:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2014-09-24 12:51:25] [35cf553fdfdc66b14f70b75e31d8fd89]
- R     [Histogram] [] [2014-09-26 11:52:41] [35cf553fdfdc66b14f70b75e31d8fd89]
- RMP       [Harrell-Davis Quantiles] [] [2014-10-01 17:37:37] [5f87c1f524450f94c6870e724864065e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.9
103.2
103.1
103.6
104.2
104.9
104.5
103.9
102.8
100.8
99
97.8
96.4
96.1
96
95.6
95.7
95.7
95.5
95.1
95.1
94.6
95
95
95.8
96.1
96.5
96.8
97.7
98.9
100
101.1
102
103.8
104.9
106.3
108.9
110.4
111.3
112.2
112.9
113
113.4
112.4
112.4
112.2
112.6
112.7
113.8
114.1
114.7
115.3
115.6
116.2
117.5
118.5
119.3
120
120.1
119.8
119.9
119.8
119.3
119
118.9
119
119.3
119.2
118.6
117
117.4
117.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237745&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237745&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237745&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.70333140853870.305251097736574
0.0294.83907423499370.204581160281308
0.0394.95866413310240.154790213947885
0.0495.05552237593120.167203055805242
0.0595.14242849415110.206919711056863
0.0695.2302303761090.24522707487236
0.0795.32221613188240.270389152459311
0.0895.41670562599890.280887694988819
0.0995.51081088582220.28230244413062
0.195.60281538699390.283485342314134
0.1195.6930188217430.29278912524651
0.1295.78358720818780.316182536796892
0.1395.87798042277770.356667550818289
0.1495.98035218433350.41598514682275
0.1596.09509720165140.494627718654205
0.1696.22654983924390.592758448744519
0.1796.3787609168880.70939617323623
0.1896.55528323082250.842190591759519
0.1996.7589409201110.987552009945411
0.296.99160213197661.14032985861115
0.2197.25399595073431.29467403801195
0.2297.54561060975751.44468534453833
0.2397.86469045792151.58432693867366
0.2498.20832703819391.70848554900771
0.2598.57262454406911.8125003738248
0.2698.95291535373041.89290436449413
0.2799.34400540586051.94714932011958
0.2899.74043706529161.97389859055957
0.29100.1367638825311.97330139259873
0.3100.5278341810561.94657288626295
0.31100.9090782034451.89686820707796
0.32101.2767882699111.82870456425057
0.33101.6283757310751.74818543067153
0.34101.9625848574351.66245073344922
0.35102.279643461961.58003585087895
0.36102.5813328267961.50981506006842
0.37102.870964171181.46102962144861
0.38103.1532539603291.4422745708747
0.39103.4340948877821.46074114591011
0.4103.7202235203551.52135771644613
0.41104.0187905647951.62520115645817
0.42104.3368471104311.76991835873636
0.43104.6807710964811.94903277271173
0.44105.0556722594032.15269039075386
0.45105.4648286118272.36819132867649
0.46105.9092190846972.58070435911812
0.47106.3872206475312.77447432702817
0.48106.8945301539182.93395700062847
0.49107.4243498257043.04591684003692
0.5107.9678424961083.10004861485959
0.51108.5148236498473.09107839548643
0.52109.0546194483833.01850640750438
0.53109.5769913541112.88769807548471
0.54110.0730151197762.70845181343171
0.55110.5358078926892.49422580047531
0.56110.9610209026372.26073651758425
0.57111.347051668022.02410611966213
0.58111.6949713274231.79952628440306
0.59112.0082014454491.60007604445254
0.6112.2920036793541.43575770441806
0.61112.5528610459781.31282424818257
0.62112.7978305646781.23342328505825
0.63113.0339361382671.19542273916985
0.64113.26765200821.19331658030802
0.65113.5045059687661.21932619359621
0.66113.7488121507891.26432033350998
0.67114.0035285466221.32010251767697
0.68114.270225679841.3786314989321
0.69114.5491493206871.43335266078718
0.7114.8393600187011.47852636795474
0.71115.1389329915281.50966349602272
0.72115.4452013731531.52409100149585
0.73115.7550229180991.52030938552379
0.74116.065045673721.49822433619767
0.75116.3719444025491.45924518233956
0.76116.6726002841571.40552330417636
0.77116.9642047758781.33970291121076
0.78117.2442851078351.26433699610443
0.79117.5106704502241.18138902483106
0.8117.7614372869741.09224968028765
0.81117.994881542090.997857863722231
0.82118.2095577261070.899061939209496
0.83118.4044023199590.797435835950049
0.84118.5789275215190.695389187785581
0.85118.7334437189530.596459280518572
0.86118.8692527639760.504911841366829
0.87118.9887486239780.425079896532958
0.88119.0953597075980.361092807034808
0.89119.1932655989710.315936356279436
0.9119.286837717590.290352222611494
0.91119.3798259920280.280792439352122
0.92119.4744659791380.278897503084088
0.93119.5708654421230.273885109136265
0.94119.667098180820.257144629741038
0.95119.7602070128680.226392534521001
0.96119.8477425730510.186815779844058
0.97119.9287042811230.147917830347922
0.98120.0022267763120.117852319410381
0.99120.0633095245130.101629928949299

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.7033314085387 & 0.305251097736574 \tabularnewline
0.02 & 94.8390742349937 & 0.204581160281308 \tabularnewline
0.03 & 94.9586641331024 & 0.154790213947885 \tabularnewline
0.04 & 95.0555223759312 & 0.167203055805242 \tabularnewline
0.05 & 95.1424284941511 & 0.206919711056863 \tabularnewline
0.06 & 95.230230376109 & 0.24522707487236 \tabularnewline
0.07 & 95.3222161318824 & 0.270389152459311 \tabularnewline
0.08 & 95.4167056259989 & 0.280887694988819 \tabularnewline
0.09 & 95.5108108858222 & 0.28230244413062 \tabularnewline
0.1 & 95.6028153869939 & 0.283485342314134 \tabularnewline
0.11 & 95.693018821743 & 0.29278912524651 \tabularnewline
0.12 & 95.7835872081878 & 0.316182536796892 \tabularnewline
0.13 & 95.8779804227777 & 0.356667550818289 \tabularnewline
0.14 & 95.9803521843335 & 0.41598514682275 \tabularnewline
0.15 & 96.0950972016514 & 0.494627718654205 \tabularnewline
0.16 & 96.2265498392439 & 0.592758448744519 \tabularnewline
0.17 & 96.378760916888 & 0.70939617323623 \tabularnewline
0.18 & 96.5552832308225 & 0.842190591759519 \tabularnewline
0.19 & 96.758940920111 & 0.987552009945411 \tabularnewline
0.2 & 96.9916021319766 & 1.14032985861115 \tabularnewline
0.21 & 97.2539959507343 & 1.29467403801195 \tabularnewline
0.22 & 97.5456106097575 & 1.44468534453833 \tabularnewline
0.23 & 97.8646904579215 & 1.58432693867366 \tabularnewline
0.24 & 98.2083270381939 & 1.70848554900771 \tabularnewline
0.25 & 98.5726245440691 & 1.8125003738248 \tabularnewline
0.26 & 98.9529153537304 & 1.89290436449413 \tabularnewline
0.27 & 99.3440054058605 & 1.94714932011958 \tabularnewline
0.28 & 99.7404370652916 & 1.97389859055957 \tabularnewline
0.29 & 100.136763882531 & 1.97330139259873 \tabularnewline
0.3 & 100.527834181056 & 1.94657288626295 \tabularnewline
0.31 & 100.909078203445 & 1.89686820707796 \tabularnewline
0.32 & 101.276788269911 & 1.82870456425057 \tabularnewline
0.33 & 101.628375731075 & 1.74818543067153 \tabularnewline
0.34 & 101.962584857435 & 1.66245073344922 \tabularnewline
0.35 & 102.27964346196 & 1.58003585087895 \tabularnewline
0.36 & 102.581332826796 & 1.50981506006842 \tabularnewline
0.37 & 102.87096417118 & 1.46102962144861 \tabularnewline
0.38 & 103.153253960329 & 1.4422745708747 \tabularnewline
0.39 & 103.434094887782 & 1.46074114591011 \tabularnewline
0.4 & 103.720223520355 & 1.52135771644613 \tabularnewline
0.41 & 104.018790564795 & 1.62520115645817 \tabularnewline
0.42 & 104.336847110431 & 1.76991835873636 \tabularnewline
0.43 & 104.680771096481 & 1.94903277271173 \tabularnewline
0.44 & 105.055672259403 & 2.15269039075386 \tabularnewline
0.45 & 105.464828611827 & 2.36819132867649 \tabularnewline
0.46 & 105.909219084697 & 2.58070435911812 \tabularnewline
0.47 & 106.387220647531 & 2.77447432702817 \tabularnewline
0.48 & 106.894530153918 & 2.93395700062847 \tabularnewline
0.49 & 107.424349825704 & 3.04591684003692 \tabularnewline
0.5 & 107.967842496108 & 3.10004861485959 \tabularnewline
0.51 & 108.514823649847 & 3.09107839548643 \tabularnewline
0.52 & 109.054619448383 & 3.01850640750438 \tabularnewline
0.53 & 109.576991354111 & 2.88769807548471 \tabularnewline
0.54 & 110.073015119776 & 2.70845181343171 \tabularnewline
0.55 & 110.535807892689 & 2.49422580047531 \tabularnewline
0.56 & 110.961020902637 & 2.26073651758425 \tabularnewline
0.57 & 111.34705166802 & 2.02410611966213 \tabularnewline
0.58 & 111.694971327423 & 1.79952628440306 \tabularnewline
0.59 & 112.008201445449 & 1.60007604445254 \tabularnewline
0.6 & 112.292003679354 & 1.43575770441806 \tabularnewline
0.61 & 112.552861045978 & 1.31282424818257 \tabularnewline
0.62 & 112.797830564678 & 1.23342328505825 \tabularnewline
0.63 & 113.033936138267 & 1.19542273916985 \tabularnewline
0.64 & 113.2676520082 & 1.19331658030802 \tabularnewline
0.65 & 113.504505968766 & 1.21932619359621 \tabularnewline
0.66 & 113.748812150789 & 1.26432033350998 \tabularnewline
0.67 & 114.003528546622 & 1.32010251767697 \tabularnewline
0.68 & 114.27022567984 & 1.3786314989321 \tabularnewline
0.69 & 114.549149320687 & 1.43335266078718 \tabularnewline
0.7 & 114.839360018701 & 1.47852636795474 \tabularnewline
0.71 & 115.138932991528 & 1.50966349602272 \tabularnewline
0.72 & 115.445201373153 & 1.52409100149585 \tabularnewline
0.73 & 115.755022918099 & 1.52030938552379 \tabularnewline
0.74 & 116.06504567372 & 1.49822433619767 \tabularnewline
0.75 & 116.371944402549 & 1.45924518233956 \tabularnewline
0.76 & 116.672600284157 & 1.40552330417636 \tabularnewline
0.77 & 116.964204775878 & 1.33970291121076 \tabularnewline
0.78 & 117.244285107835 & 1.26433699610443 \tabularnewline
0.79 & 117.510670450224 & 1.18138902483106 \tabularnewline
0.8 & 117.761437286974 & 1.09224968028765 \tabularnewline
0.81 & 117.99488154209 & 0.997857863722231 \tabularnewline
0.82 & 118.209557726107 & 0.899061939209496 \tabularnewline
0.83 & 118.404402319959 & 0.797435835950049 \tabularnewline
0.84 & 118.578927521519 & 0.695389187785581 \tabularnewline
0.85 & 118.733443718953 & 0.596459280518572 \tabularnewline
0.86 & 118.869252763976 & 0.504911841366829 \tabularnewline
0.87 & 118.988748623978 & 0.425079896532958 \tabularnewline
0.88 & 119.095359707598 & 0.361092807034808 \tabularnewline
0.89 & 119.193265598971 & 0.315936356279436 \tabularnewline
0.9 & 119.28683771759 & 0.290352222611494 \tabularnewline
0.91 & 119.379825992028 & 0.280792439352122 \tabularnewline
0.92 & 119.474465979138 & 0.278897503084088 \tabularnewline
0.93 & 119.570865442123 & 0.273885109136265 \tabularnewline
0.94 & 119.66709818082 & 0.257144629741038 \tabularnewline
0.95 & 119.760207012868 & 0.226392534521001 \tabularnewline
0.96 & 119.847742573051 & 0.186815779844058 \tabularnewline
0.97 & 119.928704281123 & 0.147917830347922 \tabularnewline
0.98 & 120.002226776312 & 0.117852319410381 \tabularnewline
0.99 & 120.063309524513 & 0.101629928949299 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237745&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]94.7033314085387[/C][C]0.305251097736574[/C][/ROW]
[ROW][C]0.02[/C][C]94.8390742349937[/C][C]0.204581160281308[/C][/ROW]
[ROW][C]0.03[/C][C]94.9586641331024[/C][C]0.154790213947885[/C][/ROW]
[ROW][C]0.04[/C][C]95.0555223759312[/C][C]0.167203055805242[/C][/ROW]
[ROW][C]0.05[/C][C]95.1424284941511[/C][C]0.206919711056863[/C][/ROW]
[ROW][C]0.06[/C][C]95.230230376109[/C][C]0.24522707487236[/C][/ROW]
[ROW][C]0.07[/C][C]95.3222161318824[/C][C]0.270389152459311[/C][/ROW]
[ROW][C]0.08[/C][C]95.4167056259989[/C][C]0.280887694988819[/C][/ROW]
[ROW][C]0.09[/C][C]95.5108108858222[/C][C]0.28230244413062[/C][/ROW]
[ROW][C]0.1[/C][C]95.6028153869939[/C][C]0.283485342314134[/C][/ROW]
[ROW][C]0.11[/C][C]95.693018821743[/C][C]0.29278912524651[/C][/ROW]
[ROW][C]0.12[/C][C]95.7835872081878[/C][C]0.316182536796892[/C][/ROW]
[ROW][C]0.13[/C][C]95.8779804227777[/C][C]0.356667550818289[/C][/ROW]
[ROW][C]0.14[/C][C]95.9803521843335[/C][C]0.41598514682275[/C][/ROW]
[ROW][C]0.15[/C][C]96.0950972016514[/C][C]0.494627718654205[/C][/ROW]
[ROW][C]0.16[/C][C]96.2265498392439[/C][C]0.592758448744519[/C][/ROW]
[ROW][C]0.17[/C][C]96.378760916888[/C][C]0.70939617323623[/C][/ROW]
[ROW][C]0.18[/C][C]96.5552832308225[/C][C]0.842190591759519[/C][/ROW]
[ROW][C]0.19[/C][C]96.758940920111[/C][C]0.987552009945411[/C][/ROW]
[ROW][C]0.2[/C][C]96.9916021319766[/C][C]1.14032985861115[/C][/ROW]
[ROW][C]0.21[/C][C]97.2539959507343[/C][C]1.29467403801195[/C][/ROW]
[ROW][C]0.22[/C][C]97.5456106097575[/C][C]1.44468534453833[/C][/ROW]
[ROW][C]0.23[/C][C]97.8646904579215[/C][C]1.58432693867366[/C][/ROW]
[ROW][C]0.24[/C][C]98.2083270381939[/C][C]1.70848554900771[/C][/ROW]
[ROW][C]0.25[/C][C]98.5726245440691[/C][C]1.8125003738248[/C][/ROW]
[ROW][C]0.26[/C][C]98.9529153537304[/C][C]1.89290436449413[/C][/ROW]
[ROW][C]0.27[/C][C]99.3440054058605[/C][C]1.94714932011958[/C][/ROW]
[ROW][C]0.28[/C][C]99.7404370652916[/C][C]1.97389859055957[/C][/ROW]
[ROW][C]0.29[/C][C]100.136763882531[/C][C]1.97330139259873[/C][/ROW]
[ROW][C]0.3[/C][C]100.527834181056[/C][C]1.94657288626295[/C][/ROW]
[ROW][C]0.31[/C][C]100.909078203445[/C][C]1.89686820707796[/C][/ROW]
[ROW][C]0.32[/C][C]101.276788269911[/C][C]1.82870456425057[/C][/ROW]
[ROW][C]0.33[/C][C]101.628375731075[/C][C]1.74818543067153[/C][/ROW]
[ROW][C]0.34[/C][C]101.962584857435[/C][C]1.66245073344922[/C][/ROW]
[ROW][C]0.35[/C][C]102.27964346196[/C][C]1.58003585087895[/C][/ROW]
[ROW][C]0.36[/C][C]102.581332826796[/C][C]1.50981506006842[/C][/ROW]
[ROW][C]0.37[/C][C]102.87096417118[/C][C]1.46102962144861[/C][/ROW]
[ROW][C]0.38[/C][C]103.153253960329[/C][C]1.4422745708747[/C][/ROW]
[ROW][C]0.39[/C][C]103.434094887782[/C][C]1.46074114591011[/C][/ROW]
[ROW][C]0.4[/C][C]103.720223520355[/C][C]1.52135771644613[/C][/ROW]
[ROW][C]0.41[/C][C]104.018790564795[/C][C]1.62520115645817[/C][/ROW]
[ROW][C]0.42[/C][C]104.336847110431[/C][C]1.76991835873636[/C][/ROW]
[ROW][C]0.43[/C][C]104.680771096481[/C][C]1.94903277271173[/C][/ROW]
[ROW][C]0.44[/C][C]105.055672259403[/C][C]2.15269039075386[/C][/ROW]
[ROW][C]0.45[/C][C]105.464828611827[/C][C]2.36819132867649[/C][/ROW]
[ROW][C]0.46[/C][C]105.909219084697[/C][C]2.58070435911812[/C][/ROW]
[ROW][C]0.47[/C][C]106.387220647531[/C][C]2.77447432702817[/C][/ROW]
[ROW][C]0.48[/C][C]106.894530153918[/C][C]2.93395700062847[/C][/ROW]
[ROW][C]0.49[/C][C]107.424349825704[/C][C]3.04591684003692[/C][/ROW]
[ROW][C]0.5[/C][C]107.967842496108[/C][C]3.10004861485959[/C][/ROW]
[ROW][C]0.51[/C][C]108.514823649847[/C][C]3.09107839548643[/C][/ROW]
[ROW][C]0.52[/C][C]109.054619448383[/C][C]3.01850640750438[/C][/ROW]
[ROW][C]0.53[/C][C]109.576991354111[/C][C]2.88769807548471[/C][/ROW]
[ROW][C]0.54[/C][C]110.073015119776[/C][C]2.70845181343171[/C][/ROW]
[ROW][C]0.55[/C][C]110.535807892689[/C][C]2.49422580047531[/C][/ROW]
[ROW][C]0.56[/C][C]110.961020902637[/C][C]2.26073651758425[/C][/ROW]
[ROW][C]0.57[/C][C]111.34705166802[/C][C]2.02410611966213[/C][/ROW]
[ROW][C]0.58[/C][C]111.694971327423[/C][C]1.79952628440306[/C][/ROW]
[ROW][C]0.59[/C][C]112.008201445449[/C][C]1.60007604445254[/C][/ROW]
[ROW][C]0.6[/C][C]112.292003679354[/C][C]1.43575770441806[/C][/ROW]
[ROW][C]0.61[/C][C]112.552861045978[/C][C]1.31282424818257[/C][/ROW]
[ROW][C]0.62[/C][C]112.797830564678[/C][C]1.23342328505825[/C][/ROW]
[ROW][C]0.63[/C][C]113.033936138267[/C][C]1.19542273916985[/C][/ROW]
[ROW][C]0.64[/C][C]113.2676520082[/C][C]1.19331658030802[/C][/ROW]
[ROW][C]0.65[/C][C]113.504505968766[/C][C]1.21932619359621[/C][/ROW]
[ROW][C]0.66[/C][C]113.748812150789[/C][C]1.26432033350998[/C][/ROW]
[ROW][C]0.67[/C][C]114.003528546622[/C][C]1.32010251767697[/C][/ROW]
[ROW][C]0.68[/C][C]114.27022567984[/C][C]1.3786314989321[/C][/ROW]
[ROW][C]0.69[/C][C]114.549149320687[/C][C]1.43335266078718[/C][/ROW]
[ROW][C]0.7[/C][C]114.839360018701[/C][C]1.47852636795474[/C][/ROW]
[ROW][C]0.71[/C][C]115.138932991528[/C][C]1.50966349602272[/C][/ROW]
[ROW][C]0.72[/C][C]115.445201373153[/C][C]1.52409100149585[/C][/ROW]
[ROW][C]0.73[/C][C]115.755022918099[/C][C]1.52030938552379[/C][/ROW]
[ROW][C]0.74[/C][C]116.06504567372[/C][C]1.49822433619767[/C][/ROW]
[ROW][C]0.75[/C][C]116.371944402549[/C][C]1.45924518233956[/C][/ROW]
[ROW][C]0.76[/C][C]116.672600284157[/C][C]1.40552330417636[/C][/ROW]
[ROW][C]0.77[/C][C]116.964204775878[/C][C]1.33970291121076[/C][/ROW]
[ROW][C]0.78[/C][C]117.244285107835[/C][C]1.26433699610443[/C][/ROW]
[ROW][C]0.79[/C][C]117.510670450224[/C][C]1.18138902483106[/C][/ROW]
[ROW][C]0.8[/C][C]117.761437286974[/C][C]1.09224968028765[/C][/ROW]
[ROW][C]0.81[/C][C]117.99488154209[/C][C]0.997857863722231[/C][/ROW]
[ROW][C]0.82[/C][C]118.209557726107[/C][C]0.899061939209496[/C][/ROW]
[ROW][C]0.83[/C][C]118.404402319959[/C][C]0.797435835950049[/C][/ROW]
[ROW][C]0.84[/C][C]118.578927521519[/C][C]0.695389187785581[/C][/ROW]
[ROW][C]0.85[/C][C]118.733443718953[/C][C]0.596459280518572[/C][/ROW]
[ROW][C]0.86[/C][C]118.869252763976[/C][C]0.504911841366829[/C][/ROW]
[ROW][C]0.87[/C][C]118.988748623978[/C][C]0.425079896532958[/C][/ROW]
[ROW][C]0.88[/C][C]119.095359707598[/C][C]0.361092807034808[/C][/ROW]
[ROW][C]0.89[/C][C]119.193265598971[/C][C]0.315936356279436[/C][/ROW]
[ROW][C]0.9[/C][C]119.28683771759[/C][C]0.290352222611494[/C][/ROW]
[ROW][C]0.91[/C][C]119.379825992028[/C][C]0.280792439352122[/C][/ROW]
[ROW][C]0.92[/C][C]119.474465979138[/C][C]0.278897503084088[/C][/ROW]
[ROW][C]0.93[/C][C]119.570865442123[/C][C]0.273885109136265[/C][/ROW]
[ROW][C]0.94[/C][C]119.66709818082[/C][C]0.257144629741038[/C][/ROW]
[ROW][C]0.95[/C][C]119.760207012868[/C][C]0.226392534521001[/C][/ROW]
[ROW][C]0.96[/C][C]119.847742573051[/C][C]0.186815779844058[/C][/ROW]
[ROW][C]0.97[/C][C]119.928704281123[/C][C]0.147917830347922[/C][/ROW]
[ROW][C]0.98[/C][C]120.002226776312[/C][C]0.117852319410381[/C][/ROW]
[ROW][C]0.99[/C][C]120.063309524513[/C][C]0.101629928949299[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237745&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237745&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
0.0194.70333140853870.305251097736574
0.0294.83907423499370.204581160281308
0.0394.95866413310240.154790213947885
0.0495.05552237593120.167203055805242
0.0595.14242849415110.206919711056863
0.0695.2302303761090.24522707487236
0.0795.32221613188240.270389152459311
0.0895.41670562599890.280887694988819
0.0995.51081088582220.28230244413062
0.195.60281538699390.283485342314134
0.1195.6930188217430.29278912524651
0.1295.78358720818780.316182536796892
0.1395.87798042277770.356667550818289
0.1495.98035218433350.41598514682275
0.1596.09509720165140.494627718654205
0.1696.22654983924390.592758448744519
0.1796.3787609168880.70939617323623
0.1896.55528323082250.842190591759519
0.1996.7589409201110.987552009945411
0.296.99160213197661.14032985861115
0.2197.25399595073431.29467403801195
0.2297.54561060975751.44468534453833
0.2397.86469045792151.58432693867366
0.2498.20832703819391.70848554900771
0.2598.57262454406911.8125003738248
0.2698.95291535373041.89290436449413
0.2799.34400540586051.94714932011958
0.2899.74043706529161.97389859055957
0.29100.1367638825311.97330139259873
0.3100.5278341810561.94657288626295
0.31100.9090782034451.89686820707796
0.32101.2767882699111.82870456425057
0.33101.6283757310751.74818543067153
0.34101.9625848574351.66245073344922
0.35102.279643461961.58003585087895
0.36102.5813328267961.50981506006842
0.37102.870964171181.46102962144861
0.38103.1532539603291.4422745708747
0.39103.4340948877821.46074114591011
0.4103.7202235203551.52135771644613
0.41104.0187905647951.62520115645817
0.42104.3368471104311.76991835873636
0.43104.6807710964811.94903277271173
0.44105.0556722594032.15269039075386
0.45105.4648286118272.36819132867649
0.46105.9092190846972.58070435911812
0.47106.3872206475312.77447432702817
0.48106.8945301539182.93395700062847
0.49107.4243498257043.04591684003692
0.5107.9678424961083.10004861485959
0.51108.5148236498473.09107839548643
0.52109.0546194483833.01850640750438
0.53109.5769913541112.88769807548471
0.54110.0730151197762.70845181343171
0.55110.5358078926892.49422580047531
0.56110.9610209026372.26073651758425
0.57111.347051668022.02410611966213
0.58111.6949713274231.79952628440306
0.59112.0082014454491.60007604445254
0.6112.2920036793541.43575770441806
0.61112.5528610459781.31282424818257
0.62112.7978305646781.23342328505825
0.63113.0339361382671.19542273916985
0.64113.26765200821.19331658030802
0.65113.5045059687661.21932619359621
0.66113.7488121507891.26432033350998
0.67114.0035285466221.32010251767697
0.68114.270225679841.3786314989321
0.69114.5491493206871.43335266078718
0.7114.8393600187011.47852636795474
0.71115.1389329915281.50966349602272
0.72115.4452013731531.52409100149585
0.73115.7550229180991.52030938552379
0.74116.065045673721.49822433619767
0.75116.3719444025491.45924518233956
0.76116.6726002841571.40552330417636
0.77116.9642047758781.33970291121076
0.78117.2442851078351.26433699610443
0.79117.5106704502241.18138902483106
0.8117.7614372869741.09224968028765
0.81117.994881542090.997857863722231
0.82118.2095577261070.899061939209496
0.83118.4044023199590.797435835950049
0.84118.5789275215190.695389187785581
0.85118.7334437189530.596459280518572
0.86118.8692527639760.504911841366829
0.87118.9887486239780.425079896532958
0.88119.0953597075980.361092807034808
0.89119.1932655989710.315936356279436
0.9119.286837717590.290352222611494
0.91119.3798259920280.280792439352122
0.92119.4744659791380.278897503084088
0.93119.5708654421230.273885109136265
0.94119.667098180820.257144629741038
0.95119.7602070128680.226392534521001
0.96119.8477425730510.186815779844058
0.97119.9287042811230.147917830347922
0.98120.0022267763120.117852319410381
0.99120.0633095245130.101629928949299


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):
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')