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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 computationThu, 28 Feb 2013 06:02:44 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/28/t136204970813rq7i54o27bs3y.htm/, Retrieved Wed, 01 May 2024 22:27:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207183, Retrieved Wed, 01 May 2024 22:27:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-02-28 11:02:44] [65a89fc2585e1033f9f51d37a51d872c] [Current]
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Dataset

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

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'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=207183&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=207183&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207183&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.89005197923440.298672386000266
0.02-24.63218414981590.577923215900211
0.03-24.26080062670960.771387239202024
0.04-23.81259300697581.00757735306397
0.05-23.29455232412941.30774286848155
0.06-22.70445332590631.59442349999658
0.07-22.0531167564951.8061061970272
0.08-21.36576568191361.92669294270992
0.09-20.67167104977081.96901599236621
0.1-19.99522165658341.95371411694663
0.11-19.35275326489591.89846093699394
0.12-18.753249786921.81685914678959
0.13-18.2001206329281.72112388437804
0.14-17.69269122656491.623559818756
0.15-17.22730745204931.53541263070631
0.16-16.79835474370121.4643233357808
0.17-16.39933985072841.41280515346846
0.18-16.02393666258831.37857522052951
0.19-15.6667989674271.3564399858466
0.2-15.32400568706231.34049911146996
0.21-14.99313130096521.32560912172962
0.22-14.67303324347511.30799261956191
0.23-14.3634829301051.28541834284447
0.24-14.06475173593281.25725886965965
0.25-13.77722919489251.22433740486041
0.26-13.50112012816561.18867231330291
0.27-13.23624581712511.15297810983632
0.28-12.98195746659271.12010235825052
0.29-12.7371539465891.09244905025579
0.3-12.50038082092321.07162211053296
0.31-12.26997789415171.05827850310565
0.32-12.04424104935341.05223803305118
0.33-11.8215705886711.05264476733149
0.34-11.6005888812051.05818206921802
0.35-11.38022010067331.06725421430592
0.36-11.15973093814221.07819951064929
0.37-10.93873294087881.08929202107283
0.38-10.71714653936511.09908182897016
0.39-10.49512682849241.10647231953919
0.4-10.27295397992951.11102558830982
0.41-10.05089713437541.11315594266502
0.42-9.829068096673671.11409965453042
0.43-9.607287243181091.1159335868622
0.44-9.384985939477341.12124773094207
0.45-9.161165993881491.13272799931975
0.46-8.934427798755371.15266703340852
0.47-8.703067220802051.18250162045867
0.48-8.465230210703781.22254614805489
0.49-8.21910623045141.27187800257715
0.5-7.963138104954441.32840990319324
0.51-7.696226110484591.38909689043695
0.52-7.417906116169191.4501185537644
0.53-7.128483508875461.5071356209377
0.54-6.829105787954321.5555960850612
0.55-6.521758194067831.59111637603081
0.56-6.209170867793541.6099349091878
0.57-5.894635040245351.60946217440681
0.58-5.581740147016881.58866026633968
0.59-5.274061302376621.54834567455605
0.6-4.974842500887821.49113536289618
0.61-4.6867293965831.42111170307138
0.62-4.411601906401311.34315519189225
0.63-4.150539825600941.26210998929169
0.64-3.903927007356961.18193560439462
0.65-3.671667987177331.10502641715275
0.66-3.453463483554831.0319313166823
0.67-3.249075425955820.961581313066464
0.68-3.05851251968560.891909463886578
0.69-2.882084249301380.820733961565501
0.7-2.720301129825570.746651068265994
0.71-2.573635634188050.669707289092458
0.72-2.442194007683530.591735735084167
0.73-2.325376750753720.516320171278192
0.74-2.221618675069710.448447636330927
0.75-2.128293511885750.393878256124875
0.76-2.041840444293310.358144620422073
0.77-1.958120778670930.344727795538524
0.78-1.87294699736520.352894738572648
0.79-1.782655780345670.377247891092479
0.8-1.684543072163090.409896496636611
0.81-1.576973075186230.443429211028726
0.82-1.459044116685770.47337684823318
0.83-1.329855064244490.500008554523809
0.84-1.187639046609560.528934412828547
0.85-1.029234105092360.569143943194709
0.86-0.8504135969499340.627469056702459
0.87-0.6473742370398650.701608039122758
0.88-0.4191359449595130.776889693178074
0.89-0.1698858140116910.829681503673816
0.90.09024438622843130.836256267202022
0.910.3473580252951510.784202580498259
0.920.5891572407110380.682133974871711
0.930.8115412831088980.563006354406009
0.941.022105895714280.477063844448497
0.951.235524720045760.459786331652697
0.961.459562059927440.476404969655916
0.971.679751005667090.439121123609288
0.981.85946393198480.298324101148038
0.991.965424048344060.111241163390779

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.8900519792344 & 0.298672386000266 \tabularnewline
0.02 & -24.6321841498159 & 0.577923215900211 \tabularnewline
0.03 & -24.2608006267096 & 0.771387239202024 \tabularnewline
0.04 & -23.8125930069758 & 1.00757735306397 \tabularnewline
0.05 & -23.2945523241294 & 1.30774286848155 \tabularnewline
0.06 & -22.7044533259063 & 1.59442349999658 \tabularnewline
0.07 & -22.053116756495 & 1.8061061970272 \tabularnewline
0.08 & -21.3657656819136 & 1.92669294270992 \tabularnewline
0.09 & -20.6716710497708 & 1.96901599236621 \tabularnewline
0.1 & -19.9952216565834 & 1.95371411694663 \tabularnewline
0.11 & -19.3527532648959 & 1.89846093699394 \tabularnewline
0.12 & -18.75324978692 & 1.81685914678959 \tabularnewline
0.13 & -18.200120632928 & 1.72112388437804 \tabularnewline
0.14 & -17.6926912265649 & 1.623559818756 \tabularnewline
0.15 & -17.2273074520493 & 1.53541263070631 \tabularnewline
0.16 & -16.7983547437012 & 1.4643233357808 \tabularnewline
0.17 & -16.3993398507284 & 1.41280515346846 \tabularnewline
0.18 & -16.0239366625883 & 1.37857522052951 \tabularnewline
0.19 & -15.666798967427 & 1.3564399858466 \tabularnewline
0.2 & -15.3240056870623 & 1.34049911146996 \tabularnewline
0.21 & -14.9931313009652 & 1.32560912172962 \tabularnewline
0.22 & -14.6730332434751 & 1.30799261956191 \tabularnewline
0.23 & -14.363482930105 & 1.28541834284447 \tabularnewline
0.24 & -14.0647517359328 & 1.25725886965965 \tabularnewline
0.25 & -13.7772291948925 & 1.22433740486041 \tabularnewline
0.26 & -13.5011201281656 & 1.18867231330291 \tabularnewline
0.27 & -13.2362458171251 & 1.15297810983632 \tabularnewline
0.28 & -12.9819574665927 & 1.12010235825052 \tabularnewline
0.29 & -12.737153946589 & 1.09244905025579 \tabularnewline
0.3 & -12.5003808209232 & 1.07162211053296 \tabularnewline
0.31 & -12.2699778941517 & 1.05827850310565 \tabularnewline
0.32 & -12.0442410493534 & 1.05223803305118 \tabularnewline
0.33 & -11.821570588671 & 1.05264476733149 \tabularnewline
0.34 & -11.600588881205 & 1.05818206921802 \tabularnewline
0.35 & -11.3802201006733 & 1.06725421430592 \tabularnewline
0.36 & -11.1597309381422 & 1.07819951064929 \tabularnewline
0.37 & -10.9387329408788 & 1.08929202107283 \tabularnewline
0.38 & -10.7171465393651 & 1.09908182897016 \tabularnewline
0.39 & -10.4951268284924 & 1.10647231953919 \tabularnewline
0.4 & -10.2729539799295 & 1.11102558830982 \tabularnewline
0.41 & -10.0508971343754 & 1.11315594266502 \tabularnewline
0.42 & -9.82906809667367 & 1.11409965453042 \tabularnewline
0.43 & -9.60728724318109 & 1.1159335868622 \tabularnewline
0.44 & -9.38498593947734 & 1.12124773094207 \tabularnewline
0.45 & -9.16116599388149 & 1.13272799931975 \tabularnewline
0.46 & -8.93442779875537 & 1.15266703340852 \tabularnewline
0.47 & -8.70306722080205 & 1.18250162045867 \tabularnewline
0.48 & -8.46523021070378 & 1.22254614805489 \tabularnewline
0.49 & -8.2191062304514 & 1.27187800257715 \tabularnewline
0.5 & -7.96313810495444 & 1.32840990319324 \tabularnewline
0.51 & -7.69622611048459 & 1.38909689043695 \tabularnewline
0.52 & -7.41790611616919 & 1.4501185537644 \tabularnewline
0.53 & -7.12848350887546 & 1.5071356209377 \tabularnewline
0.54 & -6.82910578795432 & 1.5555960850612 \tabularnewline
0.55 & -6.52175819406783 & 1.59111637603081 \tabularnewline
0.56 & -6.20917086779354 & 1.6099349091878 \tabularnewline
0.57 & -5.89463504024535 & 1.60946217440681 \tabularnewline
0.58 & -5.58174014701688 & 1.58866026633968 \tabularnewline
0.59 & -5.27406130237662 & 1.54834567455605 \tabularnewline
0.6 & -4.97484250088782 & 1.49113536289618 \tabularnewline
0.61 & -4.686729396583 & 1.42111170307138 \tabularnewline
0.62 & -4.41160190640131 & 1.34315519189225 \tabularnewline
0.63 & -4.15053982560094 & 1.26210998929169 \tabularnewline
0.64 & -3.90392700735696 & 1.18193560439462 \tabularnewline
0.65 & -3.67166798717733 & 1.10502641715275 \tabularnewline
0.66 & -3.45346348355483 & 1.0319313166823 \tabularnewline
0.67 & -3.24907542595582 & 0.961581313066464 \tabularnewline
0.68 & -3.0585125196856 & 0.891909463886578 \tabularnewline
0.69 & -2.88208424930138 & 0.820733961565501 \tabularnewline
0.7 & -2.72030112982557 & 0.746651068265994 \tabularnewline
0.71 & -2.57363563418805 & 0.669707289092458 \tabularnewline
0.72 & -2.44219400768353 & 0.591735735084167 \tabularnewline
0.73 & -2.32537675075372 & 0.516320171278192 \tabularnewline
0.74 & -2.22161867506971 & 0.448447636330927 \tabularnewline
0.75 & -2.12829351188575 & 0.393878256124875 \tabularnewline
0.76 & -2.04184044429331 & 0.358144620422073 \tabularnewline
0.77 & -1.95812077867093 & 0.344727795538524 \tabularnewline
0.78 & -1.8729469973652 & 0.352894738572648 \tabularnewline
0.79 & -1.78265578034567 & 0.377247891092479 \tabularnewline
0.8 & -1.68454307216309 & 0.409896496636611 \tabularnewline
0.81 & -1.57697307518623 & 0.443429211028726 \tabularnewline
0.82 & -1.45904411668577 & 0.47337684823318 \tabularnewline
0.83 & -1.32985506424449 & 0.500008554523809 \tabularnewline
0.84 & -1.18763904660956 & 0.528934412828547 \tabularnewline
0.85 & -1.02923410509236 & 0.569143943194709 \tabularnewline
0.86 & -0.850413596949934 & 0.627469056702459 \tabularnewline
0.87 & -0.647374237039865 & 0.701608039122758 \tabularnewline
0.88 & -0.419135944959513 & 0.776889693178074 \tabularnewline
0.89 & -0.169885814011691 & 0.829681503673816 \tabularnewline
0.9 & 0.0902443862284313 & 0.836256267202022 \tabularnewline
0.91 & 0.347358025295151 & 0.784202580498259 \tabularnewline
0.92 & 0.589157240711038 & 0.682133974871711 \tabularnewline
0.93 & 0.811541283108898 & 0.563006354406009 \tabularnewline
0.94 & 1.02210589571428 & 0.477063844448497 \tabularnewline
0.95 & 1.23552472004576 & 0.459786331652697 \tabularnewline
0.96 & 1.45956205992744 & 0.476404969655916 \tabularnewline
0.97 & 1.67975100566709 & 0.439121123609288 \tabularnewline
0.98 & 1.8594639319848 & 0.298324101148038 \tabularnewline
0.99 & 1.96542404834406 & 0.111241163390779 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207183&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]-24.8900519792344[/C][C]0.298672386000266[/C][/ROW]
[ROW][C]0.02[/C][C]-24.6321841498159[/C][C]0.577923215900211[/C][/ROW]
[ROW][C]0.03[/C][C]-24.2608006267096[/C][C]0.771387239202024[/C][/ROW]
[ROW][C]0.04[/C][C]-23.8125930069758[/C][C]1.00757735306397[/C][/ROW]
[ROW][C]0.05[/C][C]-23.2945523241294[/C][C]1.30774286848155[/C][/ROW]
[ROW][C]0.06[/C][C]-22.7044533259063[/C][C]1.59442349999658[/C][/ROW]
[ROW][C]0.07[/C][C]-22.053116756495[/C][C]1.8061061970272[/C][/ROW]
[ROW][C]0.08[/C][C]-21.3657656819136[/C][C]1.92669294270992[/C][/ROW]
[ROW][C]0.09[/C][C]-20.6716710497708[/C][C]1.96901599236621[/C][/ROW]
[ROW][C]0.1[/C][C]-19.9952216565834[/C][C]1.95371411694663[/C][/ROW]
[ROW][C]0.11[/C][C]-19.3527532648959[/C][C]1.89846093699394[/C][/ROW]
[ROW][C]0.12[/C][C]-18.75324978692[/C][C]1.81685914678959[/C][/ROW]
[ROW][C]0.13[/C][C]-18.200120632928[/C][C]1.72112388437804[/C][/ROW]
[ROW][C]0.14[/C][C]-17.6926912265649[/C][C]1.623559818756[/C][/ROW]
[ROW][C]0.15[/C][C]-17.2273074520493[/C][C]1.53541263070631[/C][/ROW]
[ROW][C]0.16[/C][C]-16.7983547437012[/C][C]1.4643233357808[/C][/ROW]
[ROW][C]0.17[/C][C]-16.3993398507284[/C][C]1.41280515346846[/C][/ROW]
[ROW][C]0.18[/C][C]-16.0239366625883[/C][C]1.37857522052951[/C][/ROW]
[ROW][C]0.19[/C][C]-15.666798967427[/C][C]1.3564399858466[/C][/ROW]
[ROW][C]0.2[/C][C]-15.3240056870623[/C][C]1.34049911146996[/C][/ROW]
[ROW][C]0.21[/C][C]-14.9931313009652[/C][C]1.32560912172962[/C][/ROW]
[ROW][C]0.22[/C][C]-14.6730332434751[/C][C]1.30799261956191[/C][/ROW]
[ROW][C]0.23[/C][C]-14.363482930105[/C][C]1.28541834284447[/C][/ROW]
[ROW][C]0.24[/C][C]-14.0647517359328[/C][C]1.25725886965965[/C][/ROW]
[ROW][C]0.25[/C][C]-13.7772291948925[/C][C]1.22433740486041[/C][/ROW]
[ROW][C]0.26[/C][C]-13.5011201281656[/C][C]1.18867231330291[/C][/ROW]
[ROW][C]0.27[/C][C]-13.2362458171251[/C][C]1.15297810983632[/C][/ROW]
[ROW][C]0.28[/C][C]-12.9819574665927[/C][C]1.12010235825052[/C][/ROW]
[ROW][C]0.29[/C][C]-12.737153946589[/C][C]1.09244905025579[/C][/ROW]
[ROW][C]0.3[/C][C]-12.5003808209232[/C][C]1.07162211053296[/C][/ROW]
[ROW][C]0.31[/C][C]-12.2699778941517[/C][C]1.05827850310565[/C][/ROW]
[ROW][C]0.32[/C][C]-12.0442410493534[/C][C]1.05223803305118[/C][/ROW]
[ROW][C]0.33[/C][C]-11.821570588671[/C][C]1.05264476733149[/C][/ROW]
[ROW][C]0.34[/C][C]-11.600588881205[/C][C]1.05818206921802[/C][/ROW]
[ROW][C]0.35[/C][C]-11.3802201006733[/C][C]1.06725421430592[/C][/ROW]
[ROW][C]0.36[/C][C]-11.1597309381422[/C][C]1.07819951064929[/C][/ROW]
[ROW][C]0.37[/C][C]-10.9387329408788[/C][C]1.08929202107283[/C][/ROW]
[ROW][C]0.38[/C][C]-10.7171465393651[/C][C]1.09908182897016[/C][/ROW]
[ROW][C]0.39[/C][C]-10.4951268284924[/C][C]1.10647231953919[/C][/ROW]
[ROW][C]0.4[/C][C]-10.2729539799295[/C][C]1.11102558830982[/C][/ROW]
[ROW][C]0.41[/C][C]-10.0508971343754[/C][C]1.11315594266502[/C][/ROW]
[ROW][C]0.42[/C][C]-9.82906809667367[/C][C]1.11409965453042[/C][/ROW]
[ROW][C]0.43[/C][C]-9.60728724318109[/C][C]1.1159335868622[/C][/ROW]
[ROW][C]0.44[/C][C]-9.38498593947734[/C][C]1.12124773094207[/C][/ROW]
[ROW][C]0.45[/C][C]-9.16116599388149[/C][C]1.13272799931975[/C][/ROW]
[ROW][C]0.46[/C][C]-8.93442779875537[/C][C]1.15266703340852[/C][/ROW]
[ROW][C]0.47[/C][C]-8.70306722080205[/C][C]1.18250162045867[/C][/ROW]
[ROW][C]0.48[/C][C]-8.46523021070378[/C][C]1.22254614805489[/C][/ROW]
[ROW][C]0.49[/C][C]-8.2191062304514[/C][C]1.27187800257715[/C][/ROW]
[ROW][C]0.5[/C][C]-7.96313810495444[/C][C]1.32840990319324[/C][/ROW]
[ROW][C]0.51[/C][C]-7.69622611048459[/C][C]1.38909689043695[/C][/ROW]
[ROW][C]0.52[/C][C]-7.41790611616919[/C][C]1.4501185537644[/C][/ROW]
[ROW][C]0.53[/C][C]-7.12848350887546[/C][C]1.5071356209377[/C][/ROW]
[ROW][C]0.54[/C][C]-6.82910578795432[/C][C]1.5555960850612[/C][/ROW]
[ROW][C]0.55[/C][C]-6.52175819406783[/C][C]1.59111637603081[/C][/ROW]
[ROW][C]0.56[/C][C]-6.20917086779354[/C][C]1.6099349091878[/C][/ROW]
[ROW][C]0.57[/C][C]-5.89463504024535[/C][C]1.60946217440681[/C][/ROW]
[ROW][C]0.58[/C][C]-5.58174014701688[/C][C]1.58866026633968[/C][/ROW]
[ROW][C]0.59[/C][C]-5.27406130237662[/C][C]1.54834567455605[/C][/ROW]
[ROW][C]0.6[/C][C]-4.97484250088782[/C][C]1.49113536289618[/C][/ROW]
[ROW][C]0.61[/C][C]-4.686729396583[/C][C]1.42111170307138[/C][/ROW]
[ROW][C]0.62[/C][C]-4.41160190640131[/C][C]1.34315519189225[/C][/ROW]
[ROW][C]0.63[/C][C]-4.15053982560094[/C][C]1.26210998929169[/C][/ROW]
[ROW][C]0.64[/C][C]-3.90392700735696[/C][C]1.18193560439462[/C][/ROW]
[ROW][C]0.65[/C][C]-3.67166798717733[/C][C]1.10502641715275[/C][/ROW]
[ROW][C]0.66[/C][C]-3.45346348355483[/C][C]1.0319313166823[/C][/ROW]
[ROW][C]0.67[/C][C]-3.24907542595582[/C][C]0.961581313066464[/C][/ROW]
[ROW][C]0.68[/C][C]-3.0585125196856[/C][C]0.891909463886578[/C][/ROW]
[ROW][C]0.69[/C][C]-2.88208424930138[/C][C]0.820733961565501[/C][/ROW]
[ROW][C]0.7[/C][C]-2.72030112982557[/C][C]0.746651068265994[/C][/ROW]
[ROW][C]0.71[/C][C]-2.57363563418805[/C][C]0.669707289092458[/C][/ROW]
[ROW][C]0.72[/C][C]-2.44219400768353[/C][C]0.591735735084167[/C][/ROW]
[ROW][C]0.73[/C][C]-2.32537675075372[/C][C]0.516320171278192[/C][/ROW]
[ROW][C]0.74[/C][C]-2.22161867506971[/C][C]0.448447636330927[/C][/ROW]
[ROW][C]0.75[/C][C]-2.12829351188575[/C][C]0.393878256124875[/C][/ROW]
[ROW][C]0.76[/C][C]-2.04184044429331[/C][C]0.358144620422073[/C][/ROW]
[ROW][C]0.77[/C][C]-1.95812077867093[/C][C]0.344727795538524[/C][/ROW]
[ROW][C]0.78[/C][C]-1.8729469973652[/C][C]0.352894738572648[/C][/ROW]
[ROW][C]0.79[/C][C]-1.78265578034567[/C][C]0.377247891092479[/C][/ROW]
[ROW][C]0.8[/C][C]-1.68454307216309[/C][C]0.409896496636611[/C][/ROW]
[ROW][C]0.81[/C][C]-1.57697307518623[/C][C]0.443429211028726[/C][/ROW]
[ROW][C]0.82[/C][C]-1.45904411668577[/C][C]0.47337684823318[/C][/ROW]
[ROW][C]0.83[/C][C]-1.32985506424449[/C][C]0.500008554523809[/C][/ROW]
[ROW][C]0.84[/C][C]-1.18763904660956[/C][C]0.528934412828547[/C][/ROW]
[ROW][C]0.85[/C][C]-1.02923410509236[/C][C]0.569143943194709[/C][/ROW]
[ROW][C]0.86[/C][C]-0.850413596949934[/C][C]0.627469056702459[/C][/ROW]
[ROW][C]0.87[/C][C]-0.647374237039865[/C][C]0.701608039122758[/C][/ROW]
[ROW][C]0.88[/C][C]-0.419135944959513[/C][C]0.776889693178074[/C][/ROW]
[ROW][C]0.89[/C][C]-0.169885814011691[/C][C]0.829681503673816[/C][/ROW]
[ROW][C]0.9[/C][C]0.0902443862284313[/C][C]0.836256267202022[/C][/ROW]
[ROW][C]0.91[/C][C]0.347358025295151[/C][C]0.784202580498259[/C][/ROW]
[ROW][C]0.92[/C][C]0.589157240711038[/C][C]0.682133974871711[/C][/ROW]
[ROW][C]0.93[/C][C]0.811541283108898[/C][C]0.563006354406009[/C][/ROW]
[ROW][C]0.94[/C][C]1.02210589571428[/C][C]0.477063844448497[/C][/ROW]
[ROW][C]0.95[/C][C]1.23552472004576[/C][C]0.459786331652697[/C][/ROW]
[ROW][C]0.96[/C][C]1.45956205992744[/C][C]0.476404969655916[/C][/ROW]
[ROW][C]0.97[/C][C]1.67975100566709[/C][C]0.439121123609288[/C][/ROW]
[ROW][C]0.98[/C][C]1.8594639319848[/C][C]0.298324101148038[/C][/ROW]
[ROW][C]0.99[/C][C]1.96542404834406[/C][C]0.111241163390779[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207183&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207183&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
0.01-24.89005197923440.298672386000266
0.02-24.63218414981590.577923215900211
0.03-24.26080062670960.771387239202024
0.04-23.81259300697581.00757735306397
0.05-23.29455232412941.30774286848155
0.06-22.70445332590631.59442349999658
0.07-22.0531167564951.8061061970272
0.08-21.36576568191361.92669294270992
0.09-20.67167104977081.96901599236621
0.1-19.99522165658341.95371411694663
0.11-19.35275326489591.89846093699394
0.12-18.753249786921.81685914678959
0.13-18.2001206329281.72112388437804
0.14-17.69269122656491.623559818756
0.15-17.22730745204931.53541263070631
0.16-16.79835474370121.4643233357808
0.17-16.39933985072841.41280515346846
0.18-16.02393666258831.37857522052951
0.19-15.6667989674271.3564399858466
0.2-15.32400568706231.34049911146996
0.21-14.99313130096521.32560912172962
0.22-14.67303324347511.30799261956191
0.23-14.3634829301051.28541834284447
0.24-14.06475173593281.25725886965965
0.25-13.77722919489251.22433740486041
0.26-13.50112012816561.18867231330291
0.27-13.23624581712511.15297810983632
0.28-12.98195746659271.12010235825052
0.29-12.7371539465891.09244905025579
0.3-12.50038082092321.07162211053296
0.31-12.26997789415171.05827850310565
0.32-12.04424104935341.05223803305118
0.33-11.8215705886711.05264476733149
0.34-11.6005888812051.05818206921802
0.35-11.38022010067331.06725421430592
0.36-11.15973093814221.07819951064929
0.37-10.93873294087881.08929202107283
0.38-10.71714653936511.09908182897016
0.39-10.49512682849241.10647231953919
0.4-10.27295397992951.11102558830982
0.41-10.05089713437541.11315594266502
0.42-9.829068096673671.11409965453042
0.43-9.607287243181091.1159335868622
0.44-9.384985939477341.12124773094207
0.45-9.161165993881491.13272799931975
0.46-8.934427798755371.15266703340852
0.47-8.703067220802051.18250162045867
0.48-8.465230210703781.22254614805489
0.49-8.21910623045141.27187800257715
0.5-7.963138104954441.32840990319324
0.51-7.696226110484591.38909689043695
0.52-7.417906116169191.4501185537644
0.53-7.128483508875461.5071356209377
0.54-6.829105787954321.5555960850612
0.55-6.521758194067831.59111637603081
0.56-6.209170867793541.6099349091878
0.57-5.894635040245351.60946217440681
0.58-5.581740147016881.58866026633968
0.59-5.274061302376621.54834567455605
0.6-4.974842500887821.49113536289618
0.61-4.6867293965831.42111170307138
0.62-4.411601906401311.34315519189225
0.63-4.150539825600941.26210998929169
0.64-3.903927007356961.18193560439462
0.65-3.671667987177331.10502641715275
0.66-3.453463483554831.0319313166823
0.67-3.249075425955820.961581313066464
0.68-3.05851251968560.891909463886578
0.69-2.882084249301380.820733961565501
0.7-2.720301129825570.746651068265994
0.71-2.573635634188050.669707289092458
0.72-2.442194007683530.591735735084167
0.73-2.325376750753720.516320171278192
0.74-2.221618675069710.448447636330927
0.75-2.128293511885750.393878256124875
0.76-2.041840444293310.358144620422073
0.77-1.958120778670930.344727795538524
0.78-1.87294699736520.352894738572648
0.79-1.782655780345670.377247891092479
0.8-1.684543072163090.409896496636611
0.81-1.576973075186230.443429211028726
0.82-1.459044116685770.47337684823318
0.83-1.329855064244490.500008554523809
0.84-1.187639046609560.528934412828547
0.85-1.029234105092360.569143943194709
0.86-0.8504135969499340.627469056702459
0.87-0.6473742370398650.701608039122758
0.88-0.4191359449595130.776889693178074
0.89-0.1698858140116910.829681503673816
0.90.09024438622843130.836256267202022
0.910.3473580252951510.784202580498259
0.920.5891572407110380.682133974871711
0.930.8115412831088980.563006354406009
0.941.022105895714280.477063844448497
0.951.235524720045760.459786331652697
0.961.459562059927440.476404969655916
0.971.679751005667090.439121123609288
0.981.85946393198480.298324101148038
0.991.965424048344060.111241163390779


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')