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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, 24 Feb 2013 18:19:29 -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/24/t1361748020nsjywd06vdcperw.htm/, Retrieved Mon, 29 Apr 2024 06:34:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206873, Retrieved Mon, 29 Apr 2024 06:34:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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] [condooms percenti...] [2013-02-24 23:19:29] [8907525eeb8291a8059cdce9cf2ca306] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8.27
8.25
8.22
8.21
8.12
8.16
8.15
8.1
8.09
8.02
8.03
7.98
7.95
7.92
7.96
7.96
7.94
7.83
7.77
7.8
7.78
7.78
7.8
7.81
7.95
8.02
7.99
8.01
8.03
8.05
8.05
8.06
8.07
7.99
8
8.01
8
8.09
8.1
8.12
8.29
8.32
8.36
8.38
8.48
8.45
8.41
8.38
8.38
8.34
8.41
8.34
8.22
8.27
8.18
8.19
8.19
8.13
8.06
7.99
8
7.98
7.92
7.93
7.9
7.86
7.88
7.88
7.93
7.91
7.89
7.93

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206873&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206873&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206873&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.773055717718430.00868431248540708
0.027.777901462349680.00901792372398918
0.037.783625440278690.0116689236571119
0.047.790039738745410.0152989725057255
0.057.797270931061040.019249348591246
0.067.805417940485840.0234477801565306
0.077.814463610853650.0275931052092412
0.087.824266235972960.0310846632730296
0.097.834564508470640.0333475550618624
0.17.845013445506920.0341272019317104
0.117.855253362270570.0335483100170618
0.127.864982908516470.0319955056159346
0.137.874005394328060.0299399860661958
0.147.882237083310130.0277789009228964
0.157.889685818283720.0257559470751123
0.167.896417063864280.0239896820483134
0.177.902522461099630.0224733146274493
0.187.908098787547210.0211993866440019
0.197.91323810230580.0201491965939761
0.27.918025616037120.0193408147699286
0.217.922540786646820.0187987393136933
0.227.926858233716670.0185436151518461
0.237.931046916345730.0185546030547932
0.247.935167618079260.0188117953738774
0.257.939269678122130.0192429607776669
0.267.94338810379070.019769696241289
0.277.947541934718130.0203075557137992
0.287.951734284278910.020773510488246
0.297.955954063350090.0211109907418672
0.37.960179094390120.021278683752164
0.317.964380162677910.0212459838526333
0.327.968525495083950.0210159328957777
0.337.972585166672880.0206129994137642
0.347.976534986873710.0200754070285727
0.357.980359500951180.019459330117836
0.367.984053857431090.0188373817356425
0.377.987624432836970.01827602728499
0.387.991088256943420.0178390829602998
0.397.994471421975630.0175674363292401
0.47.997806763857720.0174912581365208
0.418.001131155959670.0176451407051294
0.428.004482751687140.0180033487840395
0.438.007898460730920.0185603858775472
0.448.011411862915880.0192850291167489
0.458.01505167401010.0201371202492134
0.468.01884079675560.0210871769406233
0.478.022795927992820.0221001969279576
0.488.026927652037020.0231288791819638
0.498.031240929283760.024157082131771
0.58.035735883117260.0251471299695569
0.518.040408793468930.0260999623553253
0.528.045253218482960.0269840080289069
0.538.050261183237410.0278035073184034
0.548.055424391462480.0285659254361882
0.558.060735426026730.0292701095867178
0.568.066188899700020.0299260318162776
0.578.071782495462840.0305611605564796
0.588.077517798350170.0311867416269984
0.598.083400780496590.0318280608996457
0.68.089441777621320.0325348048397783
0.618.095654811279980.0333085725410929
0.628.10205618375840.03415410867279
0.638.108662403853930.0350859805742778
0.648.115487673726960.0360733438984284
0.658.122541340546150.0370826694612363
0.668.129825839450920.0380658989190178
0.678.137335674615950.038956333284167
0.688.145057868908030.0397202950788614
0.698.152974058968820.0403108253492169
0.78.161064061922190.0407244310359532
0.718.169310369870630.0409772990512336
0.728.177702736178390.0411368701786797
0.738.186241892016580.041254375812328
0.748.194941521978620.041423376258822
0.758.203827920919130.0417089399305155
0.768.212937173487880.0421555568089591
0.778.222310126537310.0427601664220587
0.788.231985752932470.0435049603733673
0.798.241993679180240.0443168353693931
0.88.25234669315910.0450957732137617
0.818.26303404066040.045726867979524
0.828.274016328174360.046082313763068
0.838.285222870442920.0460284247515878
0.848.296552284617890.0454499247083254
0.858.307876995292390.0442548390477147
0.868.319052163145070.0424062961237243
0.878.329929552536670.0399356064074706
0.888.340376971562020.0369427584392995
0.898.350303608100430.0335973910908418
0.98.359690067955250.0301593973103704
0.918.368619373462710.0269709330099525
0.928.377303850758890.0244486450678609
0.938.386105358632690.0229678406400016
0.948.395549491604350.0227488669791505
0.958.406322751249230.0238729781136479
0.968.41919105393160.02625541256424
0.978.434677487288240.0290887269342606
0.988.452257800472510.0306557319708379
0.998.469128004943310.0302429588325259

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.77305571771843 & 0.00868431248540708 \tabularnewline
0.02 & 7.77790146234968 & 0.00901792372398918 \tabularnewline
0.03 & 7.78362544027869 & 0.0116689236571119 \tabularnewline
0.04 & 7.79003973874541 & 0.0152989725057255 \tabularnewline
0.05 & 7.79727093106104 & 0.019249348591246 \tabularnewline
0.06 & 7.80541794048584 & 0.0234477801565306 \tabularnewline
0.07 & 7.81446361085365 & 0.0275931052092412 \tabularnewline
0.08 & 7.82426623597296 & 0.0310846632730296 \tabularnewline
0.09 & 7.83456450847064 & 0.0333475550618624 \tabularnewline
0.1 & 7.84501344550692 & 0.0341272019317104 \tabularnewline
0.11 & 7.85525336227057 & 0.0335483100170618 \tabularnewline
0.12 & 7.86498290851647 & 0.0319955056159346 \tabularnewline
0.13 & 7.87400539432806 & 0.0299399860661958 \tabularnewline
0.14 & 7.88223708331013 & 0.0277789009228964 \tabularnewline
0.15 & 7.88968581828372 & 0.0257559470751123 \tabularnewline
0.16 & 7.89641706386428 & 0.0239896820483134 \tabularnewline
0.17 & 7.90252246109963 & 0.0224733146274493 \tabularnewline
0.18 & 7.90809878754721 & 0.0211993866440019 \tabularnewline
0.19 & 7.9132381023058 & 0.0201491965939761 \tabularnewline
0.2 & 7.91802561603712 & 0.0193408147699286 \tabularnewline
0.21 & 7.92254078664682 & 0.0187987393136933 \tabularnewline
0.22 & 7.92685823371667 & 0.0185436151518461 \tabularnewline
0.23 & 7.93104691634573 & 0.0185546030547932 \tabularnewline
0.24 & 7.93516761807926 & 0.0188117953738774 \tabularnewline
0.25 & 7.93926967812213 & 0.0192429607776669 \tabularnewline
0.26 & 7.9433881037907 & 0.019769696241289 \tabularnewline
0.27 & 7.94754193471813 & 0.0203075557137992 \tabularnewline
0.28 & 7.95173428427891 & 0.020773510488246 \tabularnewline
0.29 & 7.95595406335009 & 0.0211109907418672 \tabularnewline
0.3 & 7.96017909439012 & 0.021278683752164 \tabularnewline
0.31 & 7.96438016267791 & 0.0212459838526333 \tabularnewline
0.32 & 7.96852549508395 & 0.0210159328957777 \tabularnewline
0.33 & 7.97258516667288 & 0.0206129994137642 \tabularnewline
0.34 & 7.97653498687371 & 0.0200754070285727 \tabularnewline
0.35 & 7.98035950095118 & 0.019459330117836 \tabularnewline
0.36 & 7.98405385743109 & 0.0188373817356425 \tabularnewline
0.37 & 7.98762443283697 & 0.01827602728499 \tabularnewline
0.38 & 7.99108825694342 & 0.0178390829602998 \tabularnewline
0.39 & 7.99447142197563 & 0.0175674363292401 \tabularnewline
0.4 & 7.99780676385772 & 0.0174912581365208 \tabularnewline
0.41 & 8.00113115595967 & 0.0176451407051294 \tabularnewline
0.42 & 8.00448275168714 & 0.0180033487840395 \tabularnewline
0.43 & 8.00789846073092 & 0.0185603858775472 \tabularnewline
0.44 & 8.01141186291588 & 0.0192850291167489 \tabularnewline
0.45 & 8.0150516740101 & 0.0201371202492134 \tabularnewline
0.46 & 8.0188407967556 & 0.0210871769406233 \tabularnewline
0.47 & 8.02279592799282 & 0.0221001969279576 \tabularnewline
0.48 & 8.02692765203702 & 0.0231288791819638 \tabularnewline
0.49 & 8.03124092928376 & 0.024157082131771 \tabularnewline
0.5 & 8.03573588311726 & 0.0251471299695569 \tabularnewline
0.51 & 8.04040879346893 & 0.0260999623553253 \tabularnewline
0.52 & 8.04525321848296 & 0.0269840080289069 \tabularnewline
0.53 & 8.05026118323741 & 0.0278035073184034 \tabularnewline
0.54 & 8.05542439146248 & 0.0285659254361882 \tabularnewline
0.55 & 8.06073542602673 & 0.0292701095867178 \tabularnewline
0.56 & 8.06618889970002 & 0.0299260318162776 \tabularnewline
0.57 & 8.07178249546284 & 0.0305611605564796 \tabularnewline
0.58 & 8.07751779835017 & 0.0311867416269984 \tabularnewline
0.59 & 8.08340078049659 & 0.0318280608996457 \tabularnewline
0.6 & 8.08944177762132 & 0.0325348048397783 \tabularnewline
0.61 & 8.09565481127998 & 0.0333085725410929 \tabularnewline
0.62 & 8.1020561837584 & 0.03415410867279 \tabularnewline
0.63 & 8.10866240385393 & 0.0350859805742778 \tabularnewline
0.64 & 8.11548767372696 & 0.0360733438984284 \tabularnewline
0.65 & 8.12254134054615 & 0.0370826694612363 \tabularnewline
0.66 & 8.12982583945092 & 0.0380658989190178 \tabularnewline
0.67 & 8.13733567461595 & 0.038956333284167 \tabularnewline
0.68 & 8.14505786890803 & 0.0397202950788614 \tabularnewline
0.69 & 8.15297405896882 & 0.0403108253492169 \tabularnewline
0.7 & 8.16106406192219 & 0.0407244310359532 \tabularnewline
0.71 & 8.16931036987063 & 0.0409772990512336 \tabularnewline
0.72 & 8.17770273617839 & 0.0411368701786797 \tabularnewline
0.73 & 8.18624189201658 & 0.041254375812328 \tabularnewline
0.74 & 8.19494152197862 & 0.041423376258822 \tabularnewline
0.75 & 8.20382792091913 & 0.0417089399305155 \tabularnewline
0.76 & 8.21293717348788 & 0.0421555568089591 \tabularnewline
0.77 & 8.22231012653731 & 0.0427601664220587 \tabularnewline
0.78 & 8.23198575293247 & 0.0435049603733673 \tabularnewline
0.79 & 8.24199367918024 & 0.0443168353693931 \tabularnewline
0.8 & 8.2523466931591 & 0.0450957732137617 \tabularnewline
0.81 & 8.2630340406604 & 0.045726867979524 \tabularnewline
0.82 & 8.27401632817436 & 0.046082313763068 \tabularnewline
0.83 & 8.28522287044292 & 0.0460284247515878 \tabularnewline
0.84 & 8.29655228461789 & 0.0454499247083254 \tabularnewline
0.85 & 8.30787699529239 & 0.0442548390477147 \tabularnewline
0.86 & 8.31905216314507 & 0.0424062961237243 \tabularnewline
0.87 & 8.32992955253667 & 0.0399356064074706 \tabularnewline
0.88 & 8.34037697156202 & 0.0369427584392995 \tabularnewline
0.89 & 8.35030360810043 & 0.0335973910908418 \tabularnewline
0.9 & 8.35969006795525 & 0.0301593973103704 \tabularnewline
0.91 & 8.36861937346271 & 0.0269709330099525 \tabularnewline
0.92 & 8.37730385075889 & 0.0244486450678609 \tabularnewline
0.93 & 8.38610535863269 & 0.0229678406400016 \tabularnewline
0.94 & 8.39554949160435 & 0.0227488669791505 \tabularnewline
0.95 & 8.40632275124923 & 0.0238729781136479 \tabularnewline
0.96 & 8.4191910539316 & 0.02625541256424 \tabularnewline
0.97 & 8.43467748728824 & 0.0290887269342606 \tabularnewline
0.98 & 8.45225780047251 & 0.0306557319708379 \tabularnewline
0.99 & 8.46912800494331 & 0.0302429588325259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206873&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]7.77305571771843[/C][C]0.00868431248540708[/C][/ROW]
[ROW][C]0.02[/C][C]7.77790146234968[/C][C]0.00901792372398918[/C][/ROW]
[ROW][C]0.03[/C][C]7.78362544027869[/C][C]0.0116689236571119[/C][/ROW]
[ROW][C]0.04[/C][C]7.79003973874541[/C][C]0.0152989725057255[/C][/ROW]
[ROW][C]0.05[/C][C]7.79727093106104[/C][C]0.019249348591246[/C][/ROW]
[ROW][C]0.06[/C][C]7.80541794048584[/C][C]0.0234477801565306[/C][/ROW]
[ROW][C]0.07[/C][C]7.81446361085365[/C][C]0.0275931052092412[/C][/ROW]
[ROW][C]0.08[/C][C]7.82426623597296[/C][C]0.0310846632730296[/C][/ROW]
[ROW][C]0.09[/C][C]7.83456450847064[/C][C]0.0333475550618624[/C][/ROW]
[ROW][C]0.1[/C][C]7.84501344550692[/C][C]0.0341272019317104[/C][/ROW]
[ROW][C]0.11[/C][C]7.85525336227057[/C][C]0.0335483100170618[/C][/ROW]
[ROW][C]0.12[/C][C]7.86498290851647[/C][C]0.0319955056159346[/C][/ROW]
[ROW][C]0.13[/C][C]7.87400539432806[/C][C]0.0299399860661958[/C][/ROW]
[ROW][C]0.14[/C][C]7.88223708331013[/C][C]0.0277789009228964[/C][/ROW]
[ROW][C]0.15[/C][C]7.88968581828372[/C][C]0.0257559470751123[/C][/ROW]
[ROW][C]0.16[/C][C]7.89641706386428[/C][C]0.0239896820483134[/C][/ROW]
[ROW][C]0.17[/C][C]7.90252246109963[/C][C]0.0224733146274493[/C][/ROW]
[ROW][C]0.18[/C][C]7.90809878754721[/C][C]0.0211993866440019[/C][/ROW]
[ROW][C]0.19[/C][C]7.9132381023058[/C][C]0.0201491965939761[/C][/ROW]
[ROW][C]0.2[/C][C]7.91802561603712[/C][C]0.0193408147699286[/C][/ROW]
[ROW][C]0.21[/C][C]7.92254078664682[/C][C]0.0187987393136933[/C][/ROW]
[ROW][C]0.22[/C][C]7.92685823371667[/C][C]0.0185436151518461[/C][/ROW]
[ROW][C]0.23[/C][C]7.93104691634573[/C][C]0.0185546030547932[/C][/ROW]
[ROW][C]0.24[/C][C]7.93516761807926[/C][C]0.0188117953738774[/C][/ROW]
[ROW][C]0.25[/C][C]7.93926967812213[/C][C]0.0192429607776669[/C][/ROW]
[ROW][C]0.26[/C][C]7.9433881037907[/C][C]0.019769696241289[/C][/ROW]
[ROW][C]0.27[/C][C]7.94754193471813[/C][C]0.0203075557137992[/C][/ROW]
[ROW][C]0.28[/C][C]7.95173428427891[/C][C]0.020773510488246[/C][/ROW]
[ROW][C]0.29[/C][C]7.95595406335009[/C][C]0.0211109907418672[/C][/ROW]
[ROW][C]0.3[/C][C]7.96017909439012[/C][C]0.021278683752164[/C][/ROW]
[ROW][C]0.31[/C][C]7.96438016267791[/C][C]0.0212459838526333[/C][/ROW]
[ROW][C]0.32[/C][C]7.96852549508395[/C][C]0.0210159328957777[/C][/ROW]
[ROW][C]0.33[/C][C]7.97258516667288[/C][C]0.0206129994137642[/C][/ROW]
[ROW][C]0.34[/C][C]7.97653498687371[/C][C]0.0200754070285727[/C][/ROW]
[ROW][C]0.35[/C][C]7.98035950095118[/C][C]0.019459330117836[/C][/ROW]
[ROW][C]0.36[/C][C]7.98405385743109[/C][C]0.0188373817356425[/C][/ROW]
[ROW][C]0.37[/C][C]7.98762443283697[/C][C]0.01827602728499[/C][/ROW]
[ROW][C]0.38[/C][C]7.99108825694342[/C][C]0.0178390829602998[/C][/ROW]
[ROW][C]0.39[/C][C]7.99447142197563[/C][C]0.0175674363292401[/C][/ROW]
[ROW][C]0.4[/C][C]7.99780676385772[/C][C]0.0174912581365208[/C][/ROW]
[ROW][C]0.41[/C][C]8.00113115595967[/C][C]0.0176451407051294[/C][/ROW]
[ROW][C]0.42[/C][C]8.00448275168714[/C][C]0.0180033487840395[/C][/ROW]
[ROW][C]0.43[/C][C]8.00789846073092[/C][C]0.0185603858775472[/C][/ROW]
[ROW][C]0.44[/C][C]8.01141186291588[/C][C]0.0192850291167489[/C][/ROW]
[ROW][C]0.45[/C][C]8.0150516740101[/C][C]0.0201371202492134[/C][/ROW]
[ROW][C]0.46[/C][C]8.0188407967556[/C][C]0.0210871769406233[/C][/ROW]
[ROW][C]0.47[/C][C]8.02279592799282[/C][C]0.0221001969279576[/C][/ROW]
[ROW][C]0.48[/C][C]8.02692765203702[/C][C]0.0231288791819638[/C][/ROW]
[ROW][C]0.49[/C][C]8.03124092928376[/C][C]0.024157082131771[/C][/ROW]
[ROW][C]0.5[/C][C]8.03573588311726[/C][C]0.0251471299695569[/C][/ROW]
[ROW][C]0.51[/C][C]8.04040879346893[/C][C]0.0260999623553253[/C][/ROW]
[ROW][C]0.52[/C][C]8.04525321848296[/C][C]0.0269840080289069[/C][/ROW]
[ROW][C]0.53[/C][C]8.05026118323741[/C][C]0.0278035073184034[/C][/ROW]
[ROW][C]0.54[/C][C]8.05542439146248[/C][C]0.0285659254361882[/C][/ROW]
[ROW][C]0.55[/C][C]8.06073542602673[/C][C]0.0292701095867178[/C][/ROW]
[ROW][C]0.56[/C][C]8.06618889970002[/C][C]0.0299260318162776[/C][/ROW]
[ROW][C]0.57[/C][C]8.07178249546284[/C][C]0.0305611605564796[/C][/ROW]
[ROW][C]0.58[/C][C]8.07751779835017[/C][C]0.0311867416269984[/C][/ROW]
[ROW][C]0.59[/C][C]8.08340078049659[/C][C]0.0318280608996457[/C][/ROW]
[ROW][C]0.6[/C][C]8.08944177762132[/C][C]0.0325348048397783[/C][/ROW]
[ROW][C]0.61[/C][C]8.09565481127998[/C][C]0.0333085725410929[/C][/ROW]
[ROW][C]0.62[/C][C]8.1020561837584[/C][C]0.03415410867279[/C][/ROW]
[ROW][C]0.63[/C][C]8.10866240385393[/C][C]0.0350859805742778[/C][/ROW]
[ROW][C]0.64[/C][C]8.11548767372696[/C][C]0.0360733438984284[/C][/ROW]
[ROW][C]0.65[/C][C]8.12254134054615[/C][C]0.0370826694612363[/C][/ROW]
[ROW][C]0.66[/C][C]8.12982583945092[/C][C]0.0380658989190178[/C][/ROW]
[ROW][C]0.67[/C][C]8.13733567461595[/C][C]0.038956333284167[/C][/ROW]
[ROW][C]0.68[/C][C]8.14505786890803[/C][C]0.0397202950788614[/C][/ROW]
[ROW][C]0.69[/C][C]8.15297405896882[/C][C]0.0403108253492169[/C][/ROW]
[ROW][C]0.7[/C][C]8.16106406192219[/C][C]0.0407244310359532[/C][/ROW]
[ROW][C]0.71[/C][C]8.16931036987063[/C][C]0.0409772990512336[/C][/ROW]
[ROW][C]0.72[/C][C]8.17770273617839[/C][C]0.0411368701786797[/C][/ROW]
[ROW][C]0.73[/C][C]8.18624189201658[/C][C]0.041254375812328[/C][/ROW]
[ROW][C]0.74[/C][C]8.19494152197862[/C][C]0.041423376258822[/C][/ROW]
[ROW][C]0.75[/C][C]8.20382792091913[/C][C]0.0417089399305155[/C][/ROW]
[ROW][C]0.76[/C][C]8.21293717348788[/C][C]0.0421555568089591[/C][/ROW]
[ROW][C]0.77[/C][C]8.22231012653731[/C][C]0.0427601664220587[/C][/ROW]
[ROW][C]0.78[/C][C]8.23198575293247[/C][C]0.0435049603733673[/C][/ROW]
[ROW][C]0.79[/C][C]8.24199367918024[/C][C]0.0443168353693931[/C][/ROW]
[ROW][C]0.8[/C][C]8.2523466931591[/C][C]0.0450957732137617[/C][/ROW]
[ROW][C]0.81[/C][C]8.2630340406604[/C][C]0.045726867979524[/C][/ROW]
[ROW][C]0.82[/C][C]8.27401632817436[/C][C]0.046082313763068[/C][/ROW]
[ROW][C]0.83[/C][C]8.28522287044292[/C][C]0.0460284247515878[/C][/ROW]
[ROW][C]0.84[/C][C]8.29655228461789[/C][C]0.0454499247083254[/C][/ROW]
[ROW][C]0.85[/C][C]8.30787699529239[/C][C]0.0442548390477147[/C][/ROW]
[ROW][C]0.86[/C][C]8.31905216314507[/C][C]0.0424062961237243[/C][/ROW]
[ROW][C]0.87[/C][C]8.32992955253667[/C][C]0.0399356064074706[/C][/ROW]
[ROW][C]0.88[/C][C]8.34037697156202[/C][C]0.0369427584392995[/C][/ROW]
[ROW][C]0.89[/C][C]8.35030360810043[/C][C]0.0335973910908418[/C][/ROW]
[ROW][C]0.9[/C][C]8.35969006795525[/C][C]0.0301593973103704[/C][/ROW]
[ROW][C]0.91[/C][C]8.36861937346271[/C][C]0.0269709330099525[/C][/ROW]
[ROW][C]0.92[/C][C]8.37730385075889[/C][C]0.0244486450678609[/C][/ROW]
[ROW][C]0.93[/C][C]8.38610535863269[/C][C]0.0229678406400016[/C][/ROW]
[ROW][C]0.94[/C][C]8.39554949160435[/C][C]0.0227488669791505[/C][/ROW]
[ROW][C]0.95[/C][C]8.40632275124923[/C][C]0.0238729781136479[/C][/ROW]
[ROW][C]0.96[/C][C]8.4191910539316[/C][C]0.02625541256424[/C][/ROW]
[ROW][C]0.97[/C][C]8.43467748728824[/C][C]0.0290887269342606[/C][/ROW]
[ROW][C]0.98[/C][C]8.45225780047251[/C][C]0.0306557319708379[/C][/ROW]
[ROW][C]0.99[/C][C]8.46912800494331[/C][C]0.0302429588325259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206873&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206873&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
0.017.773055717718430.00868431248540708
0.027.777901462349680.00901792372398918
0.037.783625440278690.0116689236571119
0.047.790039738745410.0152989725057255
0.057.797270931061040.019249348591246
0.067.805417940485840.0234477801565306
0.077.814463610853650.0275931052092412
0.087.824266235972960.0310846632730296
0.097.834564508470640.0333475550618624
0.17.845013445506920.0341272019317104
0.117.855253362270570.0335483100170618
0.127.864982908516470.0319955056159346
0.137.874005394328060.0299399860661958
0.147.882237083310130.0277789009228964
0.157.889685818283720.0257559470751123
0.167.896417063864280.0239896820483134
0.177.902522461099630.0224733146274493
0.187.908098787547210.0211993866440019
0.197.91323810230580.0201491965939761
0.27.918025616037120.0193408147699286
0.217.922540786646820.0187987393136933
0.227.926858233716670.0185436151518461
0.237.931046916345730.0185546030547932
0.247.935167618079260.0188117953738774
0.257.939269678122130.0192429607776669
0.267.94338810379070.019769696241289
0.277.947541934718130.0203075557137992
0.287.951734284278910.020773510488246
0.297.955954063350090.0211109907418672
0.37.960179094390120.021278683752164
0.317.964380162677910.0212459838526333
0.327.968525495083950.0210159328957777
0.337.972585166672880.0206129994137642
0.347.976534986873710.0200754070285727
0.357.980359500951180.019459330117836
0.367.984053857431090.0188373817356425
0.377.987624432836970.01827602728499
0.387.991088256943420.0178390829602998
0.397.994471421975630.0175674363292401
0.47.997806763857720.0174912581365208
0.418.001131155959670.0176451407051294
0.428.004482751687140.0180033487840395
0.438.007898460730920.0185603858775472
0.448.011411862915880.0192850291167489
0.458.01505167401010.0201371202492134
0.468.01884079675560.0210871769406233
0.478.022795927992820.0221001969279576
0.488.026927652037020.0231288791819638
0.498.031240929283760.024157082131771
0.58.035735883117260.0251471299695569
0.518.040408793468930.0260999623553253
0.528.045253218482960.0269840080289069
0.538.050261183237410.0278035073184034
0.548.055424391462480.0285659254361882
0.558.060735426026730.0292701095867178
0.568.066188899700020.0299260318162776
0.578.071782495462840.0305611605564796
0.588.077517798350170.0311867416269984
0.598.083400780496590.0318280608996457
0.68.089441777621320.0325348048397783
0.618.095654811279980.0333085725410929
0.628.10205618375840.03415410867279
0.638.108662403853930.0350859805742778
0.648.115487673726960.0360733438984284
0.658.122541340546150.0370826694612363
0.668.129825839450920.0380658989190178
0.678.137335674615950.038956333284167
0.688.145057868908030.0397202950788614
0.698.152974058968820.0403108253492169
0.78.161064061922190.0407244310359532
0.718.169310369870630.0409772990512336
0.728.177702736178390.0411368701786797
0.738.186241892016580.041254375812328
0.748.194941521978620.041423376258822
0.758.203827920919130.0417089399305155
0.768.212937173487880.0421555568089591
0.778.222310126537310.0427601664220587
0.788.231985752932470.0435049603733673
0.798.241993679180240.0443168353693931
0.88.25234669315910.0450957732137617
0.818.26303404066040.045726867979524
0.828.274016328174360.046082313763068
0.838.285222870442920.0460284247515878
0.848.296552284617890.0454499247083254
0.858.307876995292390.0442548390477147
0.868.319052163145070.0424062961237243
0.878.329929552536670.0399356064074706
0.888.340376971562020.0369427584392995
0.898.350303608100430.0335973910908418
0.98.359690067955250.0301593973103704
0.918.368619373462710.0269709330099525
0.928.377303850758890.0244486450678609
0.938.386105358632690.0229678406400016
0.948.395549491604350.0227488669791505
0.958.406322751249230.0238729781136479
0.968.41919105393160.02625541256424
0.978.434677487288240.0290887269342606
0.988.452257800472510.0306557319708379
0.998.469128004943310.0302429588325259


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')