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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 computationTue, 26 Feb 2008 07:06:52 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/26/t12040348525dgu24yu34ennjt.htm/, Retrieved Sun, 05 May 2024 03:03:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9141, Retrieved Sun, 05 May 2024 03:03:53 +0000
QR Codes:

Original text written by user:Kara Van den Acker
IsPrivate?No (this computation is public)
User-defined keywordsInleiding tot kwantitatief onderzoek
Estimated Impact173

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] [Opgave 4(oefening2)] [2008-02-26 14:06:52] [90941d2aa133223de960c34c4b1bc975] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
107,5
107,5
113,3
107,8
104,5
105,1
104,2
106,6
103,8
107,7
106,4
110
113,2
113,9
112
113,9
113,1
111,7
110,7
113,5
114
112,7
112,2
115,8
118,4
118,8
123,9
118
120,2
118,7
119,8
124,8
121,3
120,2
118,3
129,6
130,2
127,19
133,1
129,12
123,28
123,36
124,13
126,96
127,14
123,7
123,67
130,19
134,01
124,96
129,96
128,32
132,38
126,25
128,91
131,42
129,44
126,86
126,71
131,63
132,78
126,61
132,84
123,14
128,13
125,49
126,48
130,86
127,32
126,56
126,64
129,26
126,47
135,38
135,5
132,22
122,62
125,16
128,5
133,86
128,87
125,07
125,25
132,16
130,24

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9141&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9141&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9141&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.9917551265340.432883880255606
0.02104.3325315326840.618028783790762
0.03104.7675671691110.8694219148437
0.04105.2636734229551.0609439900574
0.05105.7876630320211.15047131489947
0.06106.3083358447411.17327361469272
0.07106.8102399704971.19763309890899
0.08107.2974303450141.27706674010274
0.09107.7856967114971.4211257999911
0.1108.2909621651831.59813178337260
0.11108.8205389384421.76040145106032
0.12109.3700659353311.86666995794857
0.13109.9257031835051.89539897072437
0.14110.4693557149641.84722895971074
0.15110.9843218207011.74090159067795
0.16111.4594413066611.60515874882198
0.17111.8909585277991.47052104317672
0.18112.2823130052211.36368585982362
0.19112.6425882761761.30462319220178
0.2112.9843857647391.30493003437675
0.21113.3216575307421.36713880372195
0.22113.6677676536231.48432778532068
0.23114.0338937656031.64216461499012
0.24114.4278407687731.82157051707871
0.25114.8533544581332.00228002597262
0.26115.3100191550932.16494055600382
0.27115.7937610878862.29492410356701
0.28116.2978669807542.38361295056752
0.29116.8143084522352.42955204049741
0.3117.3350883115172.43771982933194
0.31117.8533278926712.41762349856078
0.32118.3638969988452.38018523620083
0.33118.8635217091852.33503061385499
0.34119.3504455636312.28792150227087
0.35119.8238233813312.24032184423030
0.36120.2830676003432.19028764006710
0.37120.7273411736542.13324133984049
0.38121.1553160813342.06506509316786
0.39121.5652215817671.98284273932071
0.4121.9551213794621.88682842580673
0.41122.3233056311211.77946694607268
0.42122.6686708712831.66561464222183
0.43122.9909843078601.55130271030776
0.44123.2909751163061.44259323354435
0.45123.5702473620901.34397245242478
0.46123.8310519706241.25895649312341
0.47124.0759795789641.18836948945420
0.48124.3076402917941.13119803747100
0.49124.5283847122841.08537619710067
0.5124.7401009160421.04752191068974
0.51124.9441020924991.01433749814427
0.52125.1411045548150.982654709283696
0.53125.3312871295520.949781103334547
0.54125.5144188553570.913932483153209
0.55125.6900393591370.874249300918264
0.56125.8576727845800.830629224119674
0.57126.0170511983820.784888944807987
0.58126.1683185243270.739701982916281
0.59126.3121839005840.698211973364438
0.6126.4499962745580.66461656995729
0.61126.5837209467470.642530647714256
0.62126.7158126951750.634613682505104
0.63126.848996629150.642082980887395
0.64126.9859839821280.663960170137174
0.65127.1291627889070.697293886140529
0.66127.2803105654770.73760613530762
0.67127.4403762045720.779765843792255
0.68127.6093705222580.818616870827924
0.69127.7863893864350.84953990756867
0.7127.9697717037990.869231336068577
0.71128.1573702100220.87602613403505
0.72128.3468912705770.870120068266537
0.73128.5362467422690.853699280168397
0.74128.7238610071770.830023150632947
0.75128.9088904727320.803251233470796
0.76129.0913367203740.777268286974133
0.77129.2720588159300.756150584440417
0.78129.4527041434400.742917577385056
0.79129.6355733162740.739462537462785
0.8129.8234153785050.747373596386925
0.81130.0191284058830.766456326583143
0.82130.2253391190850.795052587838748
0.83130.4438710255290.828849126241738
0.84130.6751837522220.861083122933658
0.85130.9179495786050.883751027412275
0.86131.1689788284700.888950919235311
0.87131.4236689564920.871762212442697
0.88131.6770225605720.832191611653626
0.89131.9250970583850.775730520963507
0.9132.1665850240540.713200184139078
0.91132.4041439906620.658384902062038
0.92132.6451461674060.625434849654488
0.93132.9017475111030.624185015010512
0.94133.1904529040950.656427373881051
0.95133.5308131534020.717881282588521
0.96133.9399649720780.801503062331292
0.97134.4158394054760.870458210749763
0.98134.9081835320940.805018057953098
0.99135.3063831559060.485142216269751

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.991755126534 & 0.432883880255606 \tabularnewline
0.02 & 104.332531532684 & 0.618028783790762 \tabularnewline
0.03 & 104.767567169111 & 0.8694219148437 \tabularnewline
0.04 & 105.263673422955 & 1.0609439900574 \tabularnewline
0.05 & 105.787663032021 & 1.15047131489947 \tabularnewline
0.06 & 106.308335844741 & 1.17327361469272 \tabularnewline
0.07 & 106.810239970497 & 1.19763309890899 \tabularnewline
0.08 & 107.297430345014 & 1.27706674010274 \tabularnewline
0.09 & 107.785696711497 & 1.4211257999911 \tabularnewline
0.1 & 108.290962165183 & 1.59813178337260 \tabularnewline
0.11 & 108.820538938442 & 1.76040145106032 \tabularnewline
0.12 & 109.370065935331 & 1.86666995794857 \tabularnewline
0.13 & 109.925703183505 & 1.89539897072437 \tabularnewline
0.14 & 110.469355714964 & 1.84722895971074 \tabularnewline
0.15 & 110.984321820701 & 1.74090159067795 \tabularnewline
0.16 & 111.459441306661 & 1.60515874882198 \tabularnewline
0.17 & 111.890958527799 & 1.47052104317672 \tabularnewline
0.18 & 112.282313005221 & 1.36368585982362 \tabularnewline
0.19 & 112.642588276176 & 1.30462319220178 \tabularnewline
0.2 & 112.984385764739 & 1.30493003437675 \tabularnewline
0.21 & 113.321657530742 & 1.36713880372195 \tabularnewline
0.22 & 113.667767653623 & 1.48432778532068 \tabularnewline
0.23 & 114.033893765603 & 1.64216461499012 \tabularnewline
0.24 & 114.427840768773 & 1.82157051707871 \tabularnewline
0.25 & 114.853354458133 & 2.00228002597262 \tabularnewline
0.26 & 115.310019155093 & 2.16494055600382 \tabularnewline
0.27 & 115.793761087886 & 2.29492410356701 \tabularnewline
0.28 & 116.297866980754 & 2.38361295056752 \tabularnewline
0.29 & 116.814308452235 & 2.42955204049741 \tabularnewline
0.3 & 117.335088311517 & 2.43771982933194 \tabularnewline
0.31 & 117.853327892671 & 2.41762349856078 \tabularnewline
0.32 & 118.363896998845 & 2.38018523620083 \tabularnewline
0.33 & 118.863521709185 & 2.33503061385499 \tabularnewline
0.34 & 119.350445563631 & 2.28792150227087 \tabularnewline
0.35 & 119.823823381331 & 2.24032184423030 \tabularnewline
0.36 & 120.283067600343 & 2.19028764006710 \tabularnewline
0.37 & 120.727341173654 & 2.13324133984049 \tabularnewline
0.38 & 121.155316081334 & 2.06506509316786 \tabularnewline
0.39 & 121.565221581767 & 1.98284273932071 \tabularnewline
0.4 & 121.955121379462 & 1.88682842580673 \tabularnewline
0.41 & 122.323305631121 & 1.77946694607268 \tabularnewline
0.42 & 122.668670871283 & 1.66561464222183 \tabularnewline
0.43 & 122.990984307860 & 1.55130271030776 \tabularnewline
0.44 & 123.290975116306 & 1.44259323354435 \tabularnewline
0.45 & 123.570247362090 & 1.34397245242478 \tabularnewline
0.46 & 123.831051970624 & 1.25895649312341 \tabularnewline
0.47 & 124.075979578964 & 1.18836948945420 \tabularnewline
0.48 & 124.307640291794 & 1.13119803747100 \tabularnewline
0.49 & 124.528384712284 & 1.08537619710067 \tabularnewline
0.5 & 124.740100916042 & 1.04752191068974 \tabularnewline
0.51 & 124.944102092499 & 1.01433749814427 \tabularnewline
0.52 & 125.141104554815 & 0.982654709283696 \tabularnewline
0.53 & 125.331287129552 & 0.949781103334547 \tabularnewline
0.54 & 125.514418855357 & 0.913932483153209 \tabularnewline
0.55 & 125.690039359137 & 0.874249300918264 \tabularnewline
0.56 & 125.857672784580 & 0.830629224119674 \tabularnewline
0.57 & 126.017051198382 & 0.784888944807987 \tabularnewline
0.58 & 126.168318524327 & 0.739701982916281 \tabularnewline
0.59 & 126.312183900584 & 0.698211973364438 \tabularnewline
0.6 & 126.449996274558 & 0.66461656995729 \tabularnewline
0.61 & 126.583720946747 & 0.642530647714256 \tabularnewline
0.62 & 126.715812695175 & 0.634613682505104 \tabularnewline
0.63 & 126.84899662915 & 0.642082980887395 \tabularnewline
0.64 & 126.985983982128 & 0.663960170137174 \tabularnewline
0.65 & 127.129162788907 & 0.697293886140529 \tabularnewline
0.66 & 127.280310565477 & 0.73760613530762 \tabularnewline
0.67 & 127.440376204572 & 0.779765843792255 \tabularnewline
0.68 & 127.609370522258 & 0.818616870827924 \tabularnewline
0.69 & 127.786389386435 & 0.84953990756867 \tabularnewline
0.7 & 127.969771703799 & 0.869231336068577 \tabularnewline
0.71 & 128.157370210022 & 0.87602613403505 \tabularnewline
0.72 & 128.346891270577 & 0.870120068266537 \tabularnewline
0.73 & 128.536246742269 & 0.853699280168397 \tabularnewline
0.74 & 128.723861007177 & 0.830023150632947 \tabularnewline
0.75 & 128.908890472732 & 0.803251233470796 \tabularnewline
0.76 & 129.091336720374 & 0.777268286974133 \tabularnewline
0.77 & 129.272058815930 & 0.756150584440417 \tabularnewline
0.78 & 129.452704143440 & 0.742917577385056 \tabularnewline
0.79 & 129.635573316274 & 0.739462537462785 \tabularnewline
0.8 & 129.823415378505 & 0.747373596386925 \tabularnewline
0.81 & 130.019128405883 & 0.766456326583143 \tabularnewline
0.82 & 130.225339119085 & 0.795052587838748 \tabularnewline
0.83 & 130.443871025529 & 0.828849126241738 \tabularnewline
0.84 & 130.675183752222 & 0.861083122933658 \tabularnewline
0.85 & 130.917949578605 & 0.883751027412275 \tabularnewline
0.86 & 131.168978828470 & 0.888950919235311 \tabularnewline
0.87 & 131.423668956492 & 0.871762212442697 \tabularnewline
0.88 & 131.677022560572 & 0.832191611653626 \tabularnewline
0.89 & 131.925097058385 & 0.775730520963507 \tabularnewline
0.9 & 132.166585024054 & 0.713200184139078 \tabularnewline
0.91 & 132.404143990662 & 0.658384902062038 \tabularnewline
0.92 & 132.645146167406 & 0.625434849654488 \tabularnewline
0.93 & 132.901747511103 & 0.624185015010512 \tabularnewline
0.94 & 133.190452904095 & 0.656427373881051 \tabularnewline
0.95 & 133.530813153402 & 0.717881282588521 \tabularnewline
0.96 & 133.939964972078 & 0.801503062331292 \tabularnewline
0.97 & 134.415839405476 & 0.870458210749763 \tabularnewline
0.98 & 134.908183532094 & 0.805018057953098 \tabularnewline
0.99 & 135.306383155906 & 0.485142216269751 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9141&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]103.991755126534[/C][C]0.432883880255606[/C][/ROW]
[ROW][C]0.02[/C][C]104.332531532684[/C][C]0.618028783790762[/C][/ROW]
[ROW][C]0.03[/C][C]104.767567169111[/C][C]0.8694219148437[/C][/ROW]
[ROW][C]0.04[/C][C]105.263673422955[/C][C]1.0609439900574[/C][/ROW]
[ROW][C]0.05[/C][C]105.787663032021[/C][C]1.15047131489947[/C][/ROW]
[ROW][C]0.06[/C][C]106.308335844741[/C][C]1.17327361469272[/C][/ROW]
[ROW][C]0.07[/C][C]106.810239970497[/C][C]1.19763309890899[/C][/ROW]
[ROW][C]0.08[/C][C]107.297430345014[/C][C]1.27706674010274[/C][/ROW]
[ROW][C]0.09[/C][C]107.785696711497[/C][C]1.4211257999911[/C][/ROW]
[ROW][C]0.1[/C][C]108.290962165183[/C][C]1.59813178337260[/C][/ROW]
[ROW][C]0.11[/C][C]108.820538938442[/C][C]1.76040145106032[/C][/ROW]
[ROW][C]0.12[/C][C]109.370065935331[/C][C]1.86666995794857[/C][/ROW]
[ROW][C]0.13[/C][C]109.925703183505[/C][C]1.89539897072437[/C][/ROW]
[ROW][C]0.14[/C][C]110.469355714964[/C][C]1.84722895971074[/C][/ROW]
[ROW][C]0.15[/C][C]110.984321820701[/C][C]1.74090159067795[/C][/ROW]
[ROW][C]0.16[/C][C]111.459441306661[/C][C]1.60515874882198[/C][/ROW]
[ROW][C]0.17[/C][C]111.890958527799[/C][C]1.47052104317672[/C][/ROW]
[ROW][C]0.18[/C][C]112.282313005221[/C][C]1.36368585982362[/C][/ROW]
[ROW][C]0.19[/C][C]112.642588276176[/C][C]1.30462319220178[/C][/ROW]
[ROW][C]0.2[/C][C]112.984385764739[/C][C]1.30493003437675[/C][/ROW]
[ROW][C]0.21[/C][C]113.321657530742[/C][C]1.36713880372195[/C][/ROW]
[ROW][C]0.22[/C][C]113.667767653623[/C][C]1.48432778532068[/C][/ROW]
[ROW][C]0.23[/C][C]114.033893765603[/C][C]1.64216461499012[/C][/ROW]
[ROW][C]0.24[/C][C]114.427840768773[/C][C]1.82157051707871[/C][/ROW]
[ROW][C]0.25[/C][C]114.853354458133[/C][C]2.00228002597262[/C][/ROW]
[ROW][C]0.26[/C][C]115.310019155093[/C][C]2.16494055600382[/C][/ROW]
[ROW][C]0.27[/C][C]115.793761087886[/C][C]2.29492410356701[/C][/ROW]
[ROW][C]0.28[/C][C]116.297866980754[/C][C]2.38361295056752[/C][/ROW]
[ROW][C]0.29[/C][C]116.814308452235[/C][C]2.42955204049741[/C][/ROW]
[ROW][C]0.3[/C][C]117.335088311517[/C][C]2.43771982933194[/C][/ROW]
[ROW][C]0.31[/C][C]117.853327892671[/C][C]2.41762349856078[/C][/ROW]
[ROW][C]0.32[/C][C]118.363896998845[/C][C]2.38018523620083[/C][/ROW]
[ROW][C]0.33[/C][C]118.863521709185[/C][C]2.33503061385499[/C][/ROW]
[ROW][C]0.34[/C][C]119.350445563631[/C][C]2.28792150227087[/C][/ROW]
[ROW][C]0.35[/C][C]119.823823381331[/C][C]2.24032184423030[/C][/ROW]
[ROW][C]0.36[/C][C]120.283067600343[/C][C]2.19028764006710[/C][/ROW]
[ROW][C]0.37[/C][C]120.727341173654[/C][C]2.13324133984049[/C][/ROW]
[ROW][C]0.38[/C][C]121.155316081334[/C][C]2.06506509316786[/C][/ROW]
[ROW][C]0.39[/C][C]121.565221581767[/C][C]1.98284273932071[/C][/ROW]
[ROW][C]0.4[/C][C]121.955121379462[/C][C]1.88682842580673[/C][/ROW]
[ROW][C]0.41[/C][C]122.323305631121[/C][C]1.77946694607268[/C][/ROW]
[ROW][C]0.42[/C][C]122.668670871283[/C][C]1.66561464222183[/C][/ROW]
[ROW][C]0.43[/C][C]122.990984307860[/C][C]1.55130271030776[/C][/ROW]
[ROW][C]0.44[/C][C]123.290975116306[/C][C]1.44259323354435[/C][/ROW]
[ROW][C]0.45[/C][C]123.570247362090[/C][C]1.34397245242478[/C][/ROW]
[ROW][C]0.46[/C][C]123.831051970624[/C][C]1.25895649312341[/C][/ROW]
[ROW][C]0.47[/C][C]124.075979578964[/C][C]1.18836948945420[/C][/ROW]
[ROW][C]0.48[/C][C]124.307640291794[/C][C]1.13119803747100[/C][/ROW]
[ROW][C]0.49[/C][C]124.528384712284[/C][C]1.08537619710067[/C][/ROW]
[ROW][C]0.5[/C][C]124.740100916042[/C][C]1.04752191068974[/C][/ROW]
[ROW][C]0.51[/C][C]124.944102092499[/C][C]1.01433749814427[/C][/ROW]
[ROW][C]0.52[/C][C]125.141104554815[/C][C]0.982654709283696[/C][/ROW]
[ROW][C]0.53[/C][C]125.331287129552[/C][C]0.949781103334547[/C][/ROW]
[ROW][C]0.54[/C][C]125.514418855357[/C][C]0.913932483153209[/C][/ROW]
[ROW][C]0.55[/C][C]125.690039359137[/C][C]0.874249300918264[/C][/ROW]
[ROW][C]0.56[/C][C]125.857672784580[/C][C]0.830629224119674[/C][/ROW]
[ROW][C]0.57[/C][C]126.017051198382[/C][C]0.784888944807987[/C][/ROW]
[ROW][C]0.58[/C][C]126.168318524327[/C][C]0.739701982916281[/C][/ROW]
[ROW][C]0.59[/C][C]126.312183900584[/C][C]0.698211973364438[/C][/ROW]
[ROW][C]0.6[/C][C]126.449996274558[/C][C]0.66461656995729[/C][/ROW]
[ROW][C]0.61[/C][C]126.583720946747[/C][C]0.642530647714256[/C][/ROW]
[ROW][C]0.62[/C][C]126.715812695175[/C][C]0.634613682505104[/C][/ROW]
[ROW][C]0.63[/C][C]126.84899662915[/C][C]0.642082980887395[/C][/ROW]
[ROW][C]0.64[/C][C]126.985983982128[/C][C]0.663960170137174[/C][/ROW]
[ROW][C]0.65[/C][C]127.129162788907[/C][C]0.697293886140529[/C][/ROW]
[ROW][C]0.66[/C][C]127.280310565477[/C][C]0.73760613530762[/C][/ROW]
[ROW][C]0.67[/C][C]127.440376204572[/C][C]0.779765843792255[/C][/ROW]
[ROW][C]0.68[/C][C]127.609370522258[/C][C]0.818616870827924[/C][/ROW]
[ROW][C]0.69[/C][C]127.786389386435[/C][C]0.84953990756867[/C][/ROW]
[ROW][C]0.7[/C][C]127.969771703799[/C][C]0.869231336068577[/C][/ROW]
[ROW][C]0.71[/C][C]128.157370210022[/C][C]0.87602613403505[/C][/ROW]
[ROW][C]0.72[/C][C]128.346891270577[/C][C]0.870120068266537[/C][/ROW]
[ROW][C]0.73[/C][C]128.536246742269[/C][C]0.853699280168397[/C][/ROW]
[ROW][C]0.74[/C][C]128.723861007177[/C][C]0.830023150632947[/C][/ROW]
[ROW][C]0.75[/C][C]128.908890472732[/C][C]0.803251233470796[/C][/ROW]
[ROW][C]0.76[/C][C]129.091336720374[/C][C]0.777268286974133[/C][/ROW]
[ROW][C]0.77[/C][C]129.272058815930[/C][C]0.756150584440417[/C][/ROW]
[ROW][C]0.78[/C][C]129.452704143440[/C][C]0.742917577385056[/C][/ROW]
[ROW][C]0.79[/C][C]129.635573316274[/C][C]0.739462537462785[/C][/ROW]
[ROW][C]0.8[/C][C]129.823415378505[/C][C]0.747373596386925[/C][/ROW]
[ROW][C]0.81[/C][C]130.019128405883[/C][C]0.766456326583143[/C][/ROW]
[ROW][C]0.82[/C][C]130.225339119085[/C][C]0.795052587838748[/C][/ROW]
[ROW][C]0.83[/C][C]130.443871025529[/C][C]0.828849126241738[/C][/ROW]
[ROW][C]0.84[/C][C]130.675183752222[/C][C]0.861083122933658[/C][/ROW]
[ROW][C]0.85[/C][C]130.917949578605[/C][C]0.883751027412275[/C][/ROW]
[ROW][C]0.86[/C][C]131.168978828470[/C][C]0.888950919235311[/C][/ROW]
[ROW][C]0.87[/C][C]131.423668956492[/C][C]0.871762212442697[/C][/ROW]
[ROW][C]0.88[/C][C]131.677022560572[/C][C]0.832191611653626[/C][/ROW]
[ROW][C]0.89[/C][C]131.925097058385[/C][C]0.775730520963507[/C][/ROW]
[ROW][C]0.9[/C][C]132.166585024054[/C][C]0.713200184139078[/C][/ROW]
[ROW][C]0.91[/C][C]132.404143990662[/C][C]0.658384902062038[/C][/ROW]
[ROW][C]0.92[/C][C]132.645146167406[/C][C]0.625434849654488[/C][/ROW]
[ROW][C]0.93[/C][C]132.901747511103[/C][C]0.624185015010512[/C][/ROW]
[ROW][C]0.94[/C][C]133.190452904095[/C][C]0.656427373881051[/C][/ROW]
[ROW][C]0.95[/C][C]133.530813153402[/C][C]0.717881282588521[/C][/ROW]
[ROW][C]0.96[/C][C]133.939964972078[/C][C]0.801503062331292[/C][/ROW]
[ROW][C]0.97[/C][C]134.415839405476[/C][C]0.870458210749763[/C][/ROW]
[ROW][C]0.98[/C][C]134.908183532094[/C][C]0.805018057953098[/C][/ROW]
[ROW][C]0.99[/C][C]135.306383155906[/C][C]0.485142216269751[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9141&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9141&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
0.01103.9917551265340.432883880255606
0.02104.3325315326840.618028783790762
0.03104.7675671691110.8694219148437
0.04105.2636734229551.0609439900574
0.05105.7876630320211.15047131489947
0.06106.3083358447411.17327361469272
0.07106.8102399704971.19763309890899
0.08107.2974303450141.27706674010274
0.09107.7856967114971.4211257999911
0.1108.2909621651831.59813178337260
0.11108.8205389384421.76040145106032
0.12109.3700659353311.86666995794857
0.13109.9257031835051.89539897072437
0.14110.4693557149641.84722895971074
0.15110.9843218207011.74090159067795
0.16111.4594413066611.60515874882198
0.17111.8909585277991.47052104317672
0.18112.2823130052211.36368585982362
0.19112.6425882761761.30462319220178
0.2112.9843857647391.30493003437675
0.21113.3216575307421.36713880372195
0.22113.6677676536231.48432778532068
0.23114.0338937656031.64216461499012
0.24114.4278407687731.82157051707871
0.25114.8533544581332.00228002597262
0.26115.3100191550932.16494055600382
0.27115.7937610878862.29492410356701
0.28116.2978669807542.38361295056752
0.29116.8143084522352.42955204049741
0.3117.3350883115172.43771982933194
0.31117.8533278926712.41762349856078
0.32118.3638969988452.38018523620083
0.33118.8635217091852.33503061385499
0.34119.3504455636312.28792150227087
0.35119.8238233813312.24032184423030
0.36120.2830676003432.19028764006710
0.37120.7273411736542.13324133984049
0.38121.1553160813342.06506509316786
0.39121.5652215817671.98284273932071
0.4121.9551213794621.88682842580673
0.41122.3233056311211.77946694607268
0.42122.6686708712831.66561464222183
0.43122.9909843078601.55130271030776
0.44123.2909751163061.44259323354435
0.45123.5702473620901.34397245242478
0.46123.8310519706241.25895649312341
0.47124.0759795789641.18836948945420
0.48124.3076402917941.13119803747100
0.49124.5283847122841.08537619710067
0.5124.7401009160421.04752191068974
0.51124.9441020924991.01433749814427
0.52125.1411045548150.982654709283696
0.53125.3312871295520.949781103334547
0.54125.5144188553570.913932483153209
0.55125.6900393591370.874249300918264
0.56125.8576727845800.830629224119674
0.57126.0170511983820.784888944807987
0.58126.1683185243270.739701982916281
0.59126.3121839005840.698211973364438
0.6126.4499962745580.66461656995729
0.61126.5837209467470.642530647714256
0.62126.7158126951750.634613682505104
0.63126.848996629150.642082980887395
0.64126.9859839821280.663960170137174
0.65127.1291627889070.697293886140529
0.66127.2803105654770.73760613530762
0.67127.4403762045720.779765843792255
0.68127.6093705222580.818616870827924
0.69127.7863893864350.84953990756867
0.7127.9697717037990.869231336068577
0.71128.1573702100220.87602613403505
0.72128.3468912705770.870120068266537
0.73128.5362467422690.853699280168397
0.74128.7238610071770.830023150632947
0.75128.9088904727320.803251233470796
0.76129.0913367203740.777268286974133
0.77129.2720588159300.756150584440417
0.78129.4527041434400.742917577385056
0.79129.6355733162740.739462537462785
0.8129.8234153785050.747373596386925
0.81130.0191284058830.766456326583143
0.82130.2253391190850.795052587838748
0.83130.4438710255290.828849126241738
0.84130.6751837522220.861083122933658
0.85130.9179495786050.883751027412275
0.86131.1689788284700.888950919235311
0.87131.4236689564920.871762212442697
0.88131.6770225605720.832191611653626
0.89131.9250970583850.775730520963507
0.9132.1665850240540.713200184139078
0.91132.4041439906620.658384902062038
0.92132.6451461674060.625434849654488
0.93132.9017475111030.624185015010512
0.94133.1904529040950.656427373881051
0.95133.5308131534020.717881282588521
0.96133.9399649720780.801503062331292
0.97134.4158394054760.870458210749763
0.98134.9081835320940.805018057953098
0.99135.3063831559060.485142216269751


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):
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')