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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 computationMon, 29 Feb 2016 21:03:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/29/t1456779857f2lgg0yzvb03kr3.htm/, Retrieved Tue, 30 Apr 2024 19:09:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293058, Retrieved Tue, 30 Apr 2024 19:09:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62

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] [] [2016-02-29 20:40:19] [abb1dd46b01bd3b5295a6bb2c98eecd5]
- R  D  [Harrell-Davis Quantiles] [Consumentenprijsi...] [2016-02-29 20:59:56] [abb1dd46b01bd3b5295a6bb2c98eecd5]
- R  D      [Harrell-Davis Quantiles] [Consumentenprijsi...] [2016-02-29 21:03:18] [705d764c18df8303d824462e41ab6988] [Current]
-   P         [Harrell-Davis Quantiles] [Consumentenprijsi...] [2016-03-01 14:01:10] [abb1dd46b01bd3b5295a6bb2c98eecd5]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.12
109.12
109.73
112.59
112.59
112.29
113.8
114.16
112.29
112.29
110.99
110.99
110.99
110.99
111.98
114.26
114.26
114.44
115.47
115.41
114.63
116.48
115.8
115.18
115.18
115.18
115.18
116.38
122.41
122.47
123.09
123.09
123.09
123.09
121.77
121.52
121.52
121.52
121.52
124.73
125.23
124.62
128.94
129.34
127.17
128.08
124.54
121.21
120.85
119.02
119.13
119.84
125.53
124.16
127.32
127.22
122.57
125.45
125.45
127.32
128.79
128.99
129.8
130.33
131.19
132.02
136.97
139.45
128.31
130.73
129.83
125.46
130.23
130.23
132.65
136.34
139.12
133.94
143.09
142.71
136.09
134.57
134.65
134.35

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=293058&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=293058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293058&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
0.1111.943361934620.71008896693276
0.11112.1791691901090.737732216463655
0.12112.4157754152590.77428747487494
0.13112.6545054001150.819731751033214
0.14112.8962742810720.864831149460021
0.15113.1404115465920.897645865741446
0.16113.3842775497750.909720194549801
0.17113.623891366480.898981266456918
0.18113.8551488502310.869532025305995
0.19114.0750446312360.830084278813705
0.2114.2824932858150.790928741809421
0.21114.4786357674930.762149436247324
0.22114.6667335954080.752799959357185
0.23114.8518261331480.770641709195894
0.24115.0402837668380.821653433506857
0.25115.2393042761970.909608534824372
0.26115.456336885861.03432751463653
0.27115.6984095709981.19189671876295
0.28115.9713745561021.37415946654756
0.29116.2791463688921.568770439907
0.3116.6230539983711.76138192326436
0.31117.0014412592171.93612694885268
0.32117.4096208607432.07828820724853
0.33117.8402261672812.17586707436824
0.34118.2839279270722.22120233202176
0.35118.7304118718312.21226910850481
0.36119.169464495472.15239628594204
0.37119.5919988294132.04956845628239
0.38119.9908711464131.91554799485783
0.39120.3613865412311.7638584962554
0.4120.701453800191.60781374354909
0.41121.0114131895851.45957173955808
0.42121.2936114790181.32853023066194
0.43121.5518277171891.22082381142117
0.44121.7906579887161.13910224852964
0.45122.0149505928291.08323667332774
0.46122.2293523839211.05031075041662
0.47122.4379921496171.03677843287189
0.48122.6442969914821.037999666232
0.49122.8509187996561.04992457111002
0.5123.0597417819251.06868274935829
0.51123.2719460392931.09062236716825
0.52123.4881109543391.11298339909334
0.53123.7083497053341.13338403277917
0.54123.9324683302461.15060748762492
0.55124.1601385101111.16450140201735
0.56124.3910651481821.17572769393298
0.57124.6251226762721.18596355661226
0.58124.862432762941.19694729644574
0.59125.1033636278981.21067071093562
0.6125.3484469214431.2279599506642
0.61125.5982280282521.24846575117912
0.62125.8530834827571.27045621644852
0.63126.1130488914081.29138075894521
0.64126.377698815851.30811994673979
0.65126.6461068933631.31782983395565
0.66126.9168943088971.31834612486243
0.67127.1883540793961.30857335881899
0.68127.4586237896091.28832163627004
0.69127.7258743904971.25859946934236
0.7127.9884879264981.22104927351791
0.71128.2452098657241.17810454714232
0.72128.4952773235981.13177319407948
0.73128.7385375369921.08526507455806
0.74128.9755765119361.04152217801681
0.75129.2078719524521.00436346025083
0.76129.4379653973570.978263103671253
0.77129.6696173454680.968403324198802
0.78129.9078727677210.980297800925684
0.79130.1589361048341.01893590159351
0.8130.4297533582451.08648774254827
0.81130.7272432367461.18098019133915
0.82131.0572195503071.29441400271326
0.83131.4231923874761.41379005002093
0.84131.8253850136561.52269636573922
0.85132.2603865925441.60459441637925
0.86132.7217998571541.64765124937639
0.87133.2019977824451.64848096419652
0.88133.6947241010971.61529539884975
0.89134.1979122957081.56685783159657
0.9134.7159437346451.52757223649356
0.91135.2607183747771.52052537342065
0.92135.8513452831041.55993180475053
0.93136.5128974504441.64779861187559
0.94137.2751182633041.77336616134628
0.95138.1703749138031.92144384714572
0.96139.223378737612.07984543174105
0.97140.4166115288622.17928896347653
0.98141.6287098474411.96993642034202
0.99142.606112085741.20363055727722

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 111.94336193462 & 0.71008896693276 \tabularnewline
0.11 & 112.179169190109 & 0.737732216463655 \tabularnewline
0.12 & 112.415775415259 & 0.77428747487494 \tabularnewline
0.13 & 112.654505400115 & 0.819731751033214 \tabularnewline
0.14 & 112.896274281072 & 0.864831149460021 \tabularnewline
0.15 & 113.140411546592 & 0.897645865741446 \tabularnewline
0.16 & 113.384277549775 & 0.909720194549801 \tabularnewline
0.17 & 113.62389136648 & 0.898981266456918 \tabularnewline
0.18 & 113.855148850231 & 0.869532025305995 \tabularnewline
0.19 & 114.075044631236 & 0.830084278813705 \tabularnewline
0.2 & 114.282493285815 & 0.790928741809421 \tabularnewline
0.21 & 114.478635767493 & 0.762149436247324 \tabularnewline
0.22 & 114.666733595408 & 0.752799959357185 \tabularnewline
0.23 & 114.851826133148 & 0.770641709195894 \tabularnewline
0.24 & 115.040283766838 & 0.821653433506857 \tabularnewline
0.25 & 115.239304276197 & 0.909608534824372 \tabularnewline
0.26 & 115.45633688586 & 1.03432751463653 \tabularnewline
0.27 & 115.698409570998 & 1.19189671876295 \tabularnewline
0.28 & 115.971374556102 & 1.37415946654756 \tabularnewline
0.29 & 116.279146368892 & 1.568770439907 \tabularnewline
0.3 & 116.623053998371 & 1.76138192326436 \tabularnewline
0.31 & 117.001441259217 & 1.93612694885268 \tabularnewline
0.32 & 117.409620860743 & 2.07828820724853 \tabularnewline
0.33 & 117.840226167281 & 2.17586707436824 \tabularnewline
0.34 & 118.283927927072 & 2.22120233202176 \tabularnewline
0.35 & 118.730411871831 & 2.21226910850481 \tabularnewline
0.36 & 119.16946449547 & 2.15239628594204 \tabularnewline
0.37 & 119.591998829413 & 2.04956845628239 \tabularnewline
0.38 & 119.990871146413 & 1.91554799485783 \tabularnewline
0.39 & 120.361386541231 & 1.7638584962554 \tabularnewline
0.4 & 120.70145380019 & 1.60781374354909 \tabularnewline
0.41 & 121.011413189585 & 1.45957173955808 \tabularnewline
0.42 & 121.293611479018 & 1.32853023066194 \tabularnewline
0.43 & 121.551827717189 & 1.22082381142117 \tabularnewline
0.44 & 121.790657988716 & 1.13910224852964 \tabularnewline
0.45 & 122.014950592829 & 1.08323667332774 \tabularnewline
0.46 & 122.229352383921 & 1.05031075041662 \tabularnewline
0.47 & 122.437992149617 & 1.03677843287189 \tabularnewline
0.48 & 122.644296991482 & 1.037999666232 \tabularnewline
0.49 & 122.850918799656 & 1.04992457111002 \tabularnewline
0.5 & 123.059741781925 & 1.06868274935829 \tabularnewline
0.51 & 123.271946039293 & 1.09062236716825 \tabularnewline
0.52 & 123.488110954339 & 1.11298339909334 \tabularnewline
0.53 & 123.708349705334 & 1.13338403277917 \tabularnewline
0.54 & 123.932468330246 & 1.15060748762492 \tabularnewline
0.55 & 124.160138510111 & 1.16450140201735 \tabularnewline
0.56 & 124.391065148182 & 1.17572769393298 \tabularnewline
0.57 & 124.625122676272 & 1.18596355661226 \tabularnewline
0.58 & 124.86243276294 & 1.19694729644574 \tabularnewline
0.59 & 125.103363627898 & 1.21067071093562 \tabularnewline
0.6 & 125.348446921443 & 1.2279599506642 \tabularnewline
0.61 & 125.598228028252 & 1.24846575117912 \tabularnewline
0.62 & 125.853083482757 & 1.27045621644852 \tabularnewline
0.63 & 126.113048891408 & 1.29138075894521 \tabularnewline
0.64 & 126.37769881585 & 1.30811994673979 \tabularnewline
0.65 & 126.646106893363 & 1.31782983395565 \tabularnewline
0.66 & 126.916894308897 & 1.31834612486243 \tabularnewline
0.67 & 127.188354079396 & 1.30857335881899 \tabularnewline
0.68 & 127.458623789609 & 1.28832163627004 \tabularnewline
0.69 & 127.725874390497 & 1.25859946934236 \tabularnewline
0.7 & 127.988487926498 & 1.22104927351791 \tabularnewline
0.71 & 128.245209865724 & 1.17810454714232 \tabularnewline
0.72 & 128.495277323598 & 1.13177319407948 \tabularnewline
0.73 & 128.738537536992 & 1.08526507455806 \tabularnewline
0.74 & 128.975576511936 & 1.04152217801681 \tabularnewline
0.75 & 129.207871952452 & 1.00436346025083 \tabularnewline
0.76 & 129.437965397357 & 0.978263103671253 \tabularnewline
0.77 & 129.669617345468 & 0.968403324198802 \tabularnewline
0.78 & 129.907872767721 & 0.980297800925684 \tabularnewline
0.79 & 130.158936104834 & 1.01893590159351 \tabularnewline
0.8 & 130.429753358245 & 1.08648774254827 \tabularnewline
0.81 & 130.727243236746 & 1.18098019133915 \tabularnewline
0.82 & 131.057219550307 & 1.29441400271326 \tabularnewline
0.83 & 131.423192387476 & 1.41379005002093 \tabularnewline
0.84 & 131.825385013656 & 1.52269636573922 \tabularnewline
0.85 & 132.260386592544 & 1.60459441637925 \tabularnewline
0.86 & 132.721799857154 & 1.64765124937639 \tabularnewline
0.87 & 133.201997782445 & 1.64848096419652 \tabularnewline
0.88 & 133.694724101097 & 1.61529539884975 \tabularnewline
0.89 & 134.197912295708 & 1.56685783159657 \tabularnewline
0.9 & 134.715943734645 & 1.52757223649356 \tabularnewline
0.91 & 135.260718374777 & 1.52052537342065 \tabularnewline
0.92 & 135.851345283104 & 1.55993180475053 \tabularnewline
0.93 & 136.512897450444 & 1.64779861187559 \tabularnewline
0.94 & 137.275118263304 & 1.77336616134628 \tabularnewline
0.95 & 138.170374913803 & 1.92144384714572 \tabularnewline
0.96 & 139.22337873761 & 2.07984543174105 \tabularnewline
0.97 & 140.416611528862 & 2.17928896347653 \tabularnewline
0.98 & 141.628709847441 & 1.96993642034202 \tabularnewline
0.99 & 142.60611208574 & 1.20363055727722 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293058&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]111.94336193462[/C][C]0.71008896693276[/C][/ROW]
[ROW][C]0.11[/C][C]112.179169190109[/C][C]0.737732216463655[/C][/ROW]
[ROW][C]0.12[/C][C]112.415775415259[/C][C]0.77428747487494[/C][/ROW]
[ROW][C]0.13[/C][C]112.654505400115[/C][C]0.819731751033214[/C][/ROW]
[ROW][C]0.14[/C][C]112.896274281072[/C][C]0.864831149460021[/C][/ROW]
[ROW][C]0.15[/C][C]113.140411546592[/C][C]0.897645865741446[/C][/ROW]
[ROW][C]0.16[/C][C]113.384277549775[/C][C]0.909720194549801[/C][/ROW]
[ROW][C]0.17[/C][C]113.62389136648[/C][C]0.898981266456918[/C][/ROW]
[ROW][C]0.18[/C][C]113.855148850231[/C][C]0.869532025305995[/C][/ROW]
[ROW][C]0.19[/C][C]114.075044631236[/C][C]0.830084278813705[/C][/ROW]
[ROW][C]0.2[/C][C]114.282493285815[/C][C]0.790928741809421[/C][/ROW]
[ROW][C]0.21[/C][C]114.478635767493[/C][C]0.762149436247324[/C][/ROW]
[ROW][C]0.22[/C][C]114.666733595408[/C][C]0.752799959357185[/C][/ROW]
[ROW][C]0.23[/C][C]114.851826133148[/C][C]0.770641709195894[/C][/ROW]
[ROW][C]0.24[/C][C]115.040283766838[/C][C]0.821653433506857[/C][/ROW]
[ROW][C]0.25[/C][C]115.239304276197[/C][C]0.909608534824372[/C][/ROW]
[ROW][C]0.26[/C][C]115.45633688586[/C][C]1.03432751463653[/C][/ROW]
[ROW][C]0.27[/C][C]115.698409570998[/C][C]1.19189671876295[/C][/ROW]
[ROW][C]0.28[/C][C]115.971374556102[/C][C]1.37415946654756[/C][/ROW]
[ROW][C]0.29[/C][C]116.279146368892[/C][C]1.568770439907[/C][/ROW]
[ROW][C]0.3[/C][C]116.623053998371[/C][C]1.76138192326436[/C][/ROW]
[ROW][C]0.31[/C][C]117.001441259217[/C][C]1.93612694885268[/C][/ROW]
[ROW][C]0.32[/C][C]117.409620860743[/C][C]2.07828820724853[/C][/ROW]
[ROW][C]0.33[/C][C]117.840226167281[/C][C]2.17586707436824[/C][/ROW]
[ROW][C]0.34[/C][C]118.283927927072[/C][C]2.22120233202176[/C][/ROW]
[ROW][C]0.35[/C][C]118.730411871831[/C][C]2.21226910850481[/C][/ROW]
[ROW][C]0.36[/C][C]119.16946449547[/C][C]2.15239628594204[/C][/ROW]
[ROW][C]0.37[/C][C]119.591998829413[/C][C]2.04956845628239[/C][/ROW]
[ROW][C]0.38[/C][C]119.990871146413[/C][C]1.91554799485783[/C][/ROW]
[ROW][C]0.39[/C][C]120.361386541231[/C][C]1.7638584962554[/C][/ROW]
[ROW][C]0.4[/C][C]120.70145380019[/C][C]1.60781374354909[/C][/ROW]
[ROW][C]0.41[/C][C]121.011413189585[/C][C]1.45957173955808[/C][/ROW]
[ROW][C]0.42[/C][C]121.293611479018[/C][C]1.32853023066194[/C][/ROW]
[ROW][C]0.43[/C][C]121.551827717189[/C][C]1.22082381142117[/C][/ROW]
[ROW][C]0.44[/C][C]121.790657988716[/C][C]1.13910224852964[/C][/ROW]
[ROW][C]0.45[/C][C]122.014950592829[/C][C]1.08323667332774[/C][/ROW]
[ROW][C]0.46[/C][C]122.229352383921[/C][C]1.05031075041662[/C][/ROW]
[ROW][C]0.47[/C][C]122.437992149617[/C][C]1.03677843287189[/C][/ROW]
[ROW][C]0.48[/C][C]122.644296991482[/C][C]1.037999666232[/C][/ROW]
[ROW][C]0.49[/C][C]122.850918799656[/C][C]1.04992457111002[/C][/ROW]
[ROW][C]0.5[/C][C]123.059741781925[/C][C]1.06868274935829[/C][/ROW]
[ROW][C]0.51[/C][C]123.271946039293[/C][C]1.09062236716825[/C][/ROW]
[ROW][C]0.52[/C][C]123.488110954339[/C][C]1.11298339909334[/C][/ROW]
[ROW][C]0.53[/C][C]123.708349705334[/C][C]1.13338403277917[/C][/ROW]
[ROW][C]0.54[/C][C]123.932468330246[/C][C]1.15060748762492[/C][/ROW]
[ROW][C]0.55[/C][C]124.160138510111[/C][C]1.16450140201735[/C][/ROW]
[ROW][C]0.56[/C][C]124.391065148182[/C][C]1.17572769393298[/C][/ROW]
[ROW][C]0.57[/C][C]124.625122676272[/C][C]1.18596355661226[/C][/ROW]
[ROW][C]0.58[/C][C]124.86243276294[/C][C]1.19694729644574[/C][/ROW]
[ROW][C]0.59[/C][C]125.103363627898[/C][C]1.21067071093562[/C][/ROW]
[ROW][C]0.6[/C][C]125.348446921443[/C][C]1.2279599506642[/C][/ROW]
[ROW][C]0.61[/C][C]125.598228028252[/C][C]1.24846575117912[/C][/ROW]
[ROW][C]0.62[/C][C]125.853083482757[/C][C]1.27045621644852[/C][/ROW]
[ROW][C]0.63[/C][C]126.113048891408[/C][C]1.29138075894521[/C][/ROW]
[ROW][C]0.64[/C][C]126.37769881585[/C][C]1.30811994673979[/C][/ROW]
[ROW][C]0.65[/C][C]126.646106893363[/C][C]1.31782983395565[/C][/ROW]
[ROW][C]0.66[/C][C]126.916894308897[/C][C]1.31834612486243[/C][/ROW]
[ROW][C]0.67[/C][C]127.188354079396[/C][C]1.30857335881899[/C][/ROW]
[ROW][C]0.68[/C][C]127.458623789609[/C][C]1.28832163627004[/C][/ROW]
[ROW][C]0.69[/C][C]127.725874390497[/C][C]1.25859946934236[/C][/ROW]
[ROW][C]0.7[/C][C]127.988487926498[/C][C]1.22104927351791[/C][/ROW]
[ROW][C]0.71[/C][C]128.245209865724[/C][C]1.17810454714232[/C][/ROW]
[ROW][C]0.72[/C][C]128.495277323598[/C][C]1.13177319407948[/C][/ROW]
[ROW][C]0.73[/C][C]128.738537536992[/C][C]1.08526507455806[/C][/ROW]
[ROW][C]0.74[/C][C]128.975576511936[/C][C]1.04152217801681[/C][/ROW]
[ROW][C]0.75[/C][C]129.207871952452[/C][C]1.00436346025083[/C][/ROW]
[ROW][C]0.76[/C][C]129.437965397357[/C][C]0.978263103671253[/C][/ROW]
[ROW][C]0.77[/C][C]129.669617345468[/C][C]0.968403324198802[/C][/ROW]
[ROW][C]0.78[/C][C]129.907872767721[/C][C]0.980297800925684[/C][/ROW]
[ROW][C]0.79[/C][C]130.158936104834[/C][C]1.01893590159351[/C][/ROW]
[ROW][C]0.8[/C][C]130.429753358245[/C][C]1.08648774254827[/C][/ROW]
[ROW][C]0.81[/C][C]130.727243236746[/C][C]1.18098019133915[/C][/ROW]
[ROW][C]0.82[/C][C]131.057219550307[/C][C]1.29441400271326[/C][/ROW]
[ROW][C]0.83[/C][C]131.423192387476[/C][C]1.41379005002093[/C][/ROW]
[ROW][C]0.84[/C][C]131.825385013656[/C][C]1.52269636573922[/C][/ROW]
[ROW][C]0.85[/C][C]132.260386592544[/C][C]1.60459441637925[/C][/ROW]
[ROW][C]0.86[/C][C]132.721799857154[/C][C]1.64765124937639[/C][/ROW]
[ROW][C]0.87[/C][C]133.201997782445[/C][C]1.64848096419652[/C][/ROW]
[ROW][C]0.88[/C][C]133.694724101097[/C][C]1.61529539884975[/C][/ROW]
[ROW][C]0.89[/C][C]134.197912295708[/C][C]1.56685783159657[/C][/ROW]
[ROW][C]0.9[/C][C]134.715943734645[/C][C]1.52757223649356[/C][/ROW]
[ROW][C]0.91[/C][C]135.260718374777[/C][C]1.52052537342065[/C][/ROW]
[ROW][C]0.92[/C][C]135.851345283104[/C][C]1.55993180475053[/C][/ROW]
[ROW][C]0.93[/C][C]136.512897450444[/C][C]1.64779861187559[/C][/ROW]
[ROW][C]0.94[/C][C]137.275118263304[/C][C]1.77336616134628[/C][/ROW]
[ROW][C]0.95[/C][C]138.170374913803[/C][C]1.92144384714572[/C][/ROW]
[ROW][C]0.96[/C][C]139.22337873761[/C][C]2.07984543174105[/C][/ROW]
[ROW][C]0.97[/C][C]140.416611528862[/C][C]2.17928896347653[/C][/ROW]
[ROW][C]0.98[/C][C]141.628709847441[/C][C]1.96993642034202[/C][/ROW]
[ROW][C]0.99[/C][C]142.60611208574[/C][C]1.20363055727722[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293058&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
0.1111.943361934620.71008896693276
0.11112.1791691901090.737732216463655
0.12112.4157754152590.77428747487494
0.13112.6545054001150.819731751033214
0.14112.8962742810720.864831149460021
0.15113.1404115465920.897645865741446
0.16113.3842775497750.909720194549801
0.17113.623891366480.898981266456918
0.18113.8551488502310.869532025305995
0.19114.0750446312360.830084278813705
0.2114.2824932858150.790928741809421
0.21114.4786357674930.762149436247324
0.22114.6667335954080.752799959357185
0.23114.8518261331480.770641709195894
0.24115.0402837668380.821653433506857
0.25115.2393042761970.909608534824372
0.26115.456336885861.03432751463653
0.27115.6984095709981.19189671876295
0.28115.9713745561021.37415946654756
0.29116.2791463688921.568770439907
0.3116.6230539983711.76138192326436
0.31117.0014412592171.93612694885268
0.32117.4096208607432.07828820724853
0.33117.8402261672812.17586707436824
0.34118.2839279270722.22120233202176
0.35118.7304118718312.21226910850481
0.36119.169464495472.15239628594204
0.37119.5919988294132.04956845628239
0.38119.9908711464131.91554799485783
0.39120.3613865412311.7638584962554
0.4120.701453800191.60781374354909
0.41121.0114131895851.45957173955808
0.42121.2936114790181.32853023066194
0.43121.5518277171891.22082381142117
0.44121.7906579887161.13910224852964
0.45122.0149505928291.08323667332774
0.46122.2293523839211.05031075041662
0.47122.4379921496171.03677843287189
0.48122.6442969914821.037999666232
0.49122.8509187996561.04992457111002
0.5123.0597417819251.06868274935829
0.51123.2719460392931.09062236716825
0.52123.4881109543391.11298339909334
0.53123.7083497053341.13338403277917
0.54123.9324683302461.15060748762492
0.55124.1601385101111.16450140201735
0.56124.3910651481821.17572769393298
0.57124.6251226762721.18596355661226
0.58124.862432762941.19694729644574
0.59125.1033636278981.21067071093562
0.6125.3484469214431.2279599506642
0.61125.5982280282521.24846575117912
0.62125.8530834827571.27045621644852
0.63126.1130488914081.29138075894521
0.64126.377698815851.30811994673979
0.65126.6461068933631.31782983395565
0.66126.9168943088971.31834612486243
0.67127.1883540793961.30857335881899
0.68127.4586237896091.28832163627004
0.69127.7258743904971.25859946934236
0.7127.9884879264981.22104927351791
0.71128.2452098657241.17810454714232
0.72128.4952773235981.13177319407948
0.73128.7385375369921.08526507455806
0.74128.9755765119361.04152217801681
0.75129.2078719524521.00436346025083
0.76129.4379653973570.978263103671253
0.77129.6696173454680.968403324198802
0.78129.9078727677210.980297800925684
0.79130.1589361048341.01893590159351
0.8130.4297533582451.08648774254827
0.81130.7272432367461.18098019133915
0.82131.0572195503071.29441400271326
0.83131.4231923874761.41379005002093
0.84131.8253850136561.52269636573922
0.85132.2603865925441.60459441637925
0.86132.7217998571541.64765124937639
0.87133.2019977824451.64848096419652
0.88133.6947241010971.61529539884975
0.89134.1979122957081.56685783159657
0.9134.7159437346451.52757223649356
0.91135.2607183747771.52052537342065
0.92135.8513452831041.55993180475053
0.93136.5128974504441.64779861187559
0.94137.2751182633041.77336616134628
0.95138.1703749138031.92144384714572
0.96139.223378737612.07984543174105
0.97140.4166115288622.17928896347653
0.98141.6287098474411.96993642034202
0.99142.606112085741.20363055727722


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.1 ; 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')