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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, 02 Mar 2008 09:40:23 -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/Mar/02/t1204476071dcod2orhqwg2ek9.htm/, Retrieved Mon, 06 May 2024 13:30:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9599, Retrieved Mon, 06 May 2024 13:30:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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] [Gemiddelde consum...] [2008-03-02 16:40:23] [9d456519644b7519961e155943b4a156] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120.05
120.05
120.08
120.12
120.18
120.2
120.25
120.25
120.24
120.29
120.25
120.26
120.32
120.31
120.36
120.4
120.4
120.39
120.44
120.5
120.53
120.64
120.78
120.94
121
121.05
121.15
121.07
121.18
121.46
121.71
121.71
121.74
121.76
121.76
121.82
121.82
121.82
121.94
121.99
122.18
122.41
122.48
122.52
122.62
122.63
122.74
122.58
122.59
122.61
122.63
122.37
122.36
122.47
122.46
122.45
122.49
122.5
122.37
122.37
122.51
122.51
122.55
122.56
122.72
122.97
123.03
123.05
123.08
123.08
123.12
123.07
123.04
123.06
123.39
124.02
124.05
123.99
124.46
124.46
124.6
124.84
124.84
124.99
125.02

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9599&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]2 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=9599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9599&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01120.0553603673100.0149022552539921
0.02120.0697572106240.034895620055403
0.03120.0926015033170.0507466707266599
0.04120.1203479089380.0590276393354719
0.05120.1490302966950.0599763971917081
0.06120.1757264270070.0557816400976301
0.07120.1989371113970.0492016849061045
0.08120.2184082597830.0428493680097359
0.09120.2347481886230.0386275630679112
0.1120.2490166081510.0378015708081898
0.11120.2623766742520.0403034969089473
0.12120.2758572726260.0453766821555808
0.13120.2902416838200.0521525706102348
0.14120.3060711068970.0602035187691363
0.15120.3237280329270.0693197288555698
0.16120.3435515719430.0799464540289927
0.17120.3659382399060.0928662158900143
0.18120.3913949834460.108925096102723
0.19120.4205304831060.128255598892157
0.2120.4539902892860.150999890079952
0.21120.4923568850380.176388932800182
0.22120.5360444358670.203233542890412
0.23120.5852180923890.230292814046314
0.24120.6397593156750.255980977202447
0.25120.6992841676000.279410812323991
0.26120.7632053172520.299663204644512
0.27120.8308159595440.316571778413262
0.28120.9013691696190.330450471563213
0.29120.9741309383340.341461842820312
0.3121.0483973386440.349630292781412
0.31121.1234812834510.354972712045304
0.32121.1986864872730.357036244447263
0.33121.2732910571340.355317069298528
0.34121.3465589951630.34968486396022
0.35121.4177865544870.33998624689853
0.36121.4863761750250.327022508974868
0.37121.5519187974830.311987204156991
0.38121.6142598050370.296456556408960
0.39121.6735263581040.282173801006666
0.4121.7301033998710.270835733025307
0.41121.7845589309990.262965685749214
0.42121.8375322147640.259162794487303
0.43121.8896077626830.258361084080328
0.44121.9412010772110.259192104795975
0.45121.9924788392670.260146936237316
0.46122.0433278482750.259236314761669
0.47122.0933759959490.255370829814012
0.48122.1420577059230.247501184965969
0.49122.1887080799750.235654384324272
0.5122.2326660411880.220170384936228
0.51122.2733674574710.201770952644857
0.52122.3104138139220.181573578068316
0.53122.3436088879810.160849650147984
0.54122.3729631409360.140604491725218
0.55122.3986714595300.121961126884054
0.56122.4210733880740.105291380062700
0.57122.4406058378180.0913489939287574
0.58122.4577569406300.0799063355149844
0.59122.4730271675660.0711631743774956
0.6122.4869010602100.0647898698035625
0.61122.4998306566990.060810532403126
0.62122.5122302217000.0587495029706807
0.63122.5244810580970.0582697787408827
0.64122.5369445580910.0597183827658675
0.65122.5499807830010.0626130408097967
0.66122.5639685048580.0672262705233443
0.67122.5793209617650.0737862424176658
0.68122.5964901922250.0823811788649573
0.69122.6159526824530.0933972182496554
0.7122.6381711941080.106398266520468
0.71122.6635326585180.121190156965280
0.72122.6922696975030.136409349169289
0.73122.7243822769160.151049137303081
0.74122.7595837416720.16355888260487
0.75122.7972989900480.172426469011774
0.76122.8367391485770.176675246199812
0.77122.8770654486180.176223950603727
0.78122.9176356077680.171923463276467
0.79122.9583012730860.166159611049454
0.8122.9996989125150.162657948717764
0.81123.0434544310700.166670218001395
0.82123.0922115185890.182941997308399
0.83123.1494058446370.214337191538229
0.84123.2187526322730.259802042137052
0.85123.3034975683400.314776585609433
0.86123.405585578880.371972802436294
0.87123.5249886042900.422347665640179
0.88123.6594468450430.457725636900184
0.89123.8047784125790.472405084314377
0.9123.9557120449120.465141070306863
0.91124.1069717657980.439207487334509
0.92124.2542019194840.400655593357954
0.93124.3943674384820.355857303560699
0.94124.5255423141750.309124960664248
0.95124.6463969203250.261571888387536
0.96124.7558102654560.213088721502954
0.97124.8524277721670.165471041320103
0.98124.9332566836050.118777458300235
0.99124.9917360315280.0679085568263667

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 120.055360367310 & 0.0149022552539921 \tabularnewline
0.02 & 120.069757210624 & 0.034895620055403 \tabularnewline
0.03 & 120.092601503317 & 0.0507466707266599 \tabularnewline
0.04 & 120.120347908938 & 0.0590276393354719 \tabularnewline
0.05 & 120.149030296695 & 0.0599763971917081 \tabularnewline
0.06 & 120.175726427007 & 0.0557816400976301 \tabularnewline
0.07 & 120.198937111397 & 0.0492016849061045 \tabularnewline
0.08 & 120.218408259783 & 0.0428493680097359 \tabularnewline
0.09 & 120.234748188623 & 0.0386275630679112 \tabularnewline
0.1 & 120.249016608151 & 0.0378015708081898 \tabularnewline
0.11 & 120.262376674252 & 0.0403034969089473 \tabularnewline
0.12 & 120.275857272626 & 0.0453766821555808 \tabularnewline
0.13 & 120.290241683820 & 0.0521525706102348 \tabularnewline
0.14 & 120.306071106897 & 0.0602035187691363 \tabularnewline
0.15 & 120.323728032927 & 0.0693197288555698 \tabularnewline
0.16 & 120.343551571943 & 0.0799464540289927 \tabularnewline
0.17 & 120.365938239906 & 0.0928662158900143 \tabularnewline
0.18 & 120.391394983446 & 0.108925096102723 \tabularnewline
0.19 & 120.420530483106 & 0.128255598892157 \tabularnewline
0.2 & 120.453990289286 & 0.150999890079952 \tabularnewline
0.21 & 120.492356885038 & 0.176388932800182 \tabularnewline
0.22 & 120.536044435867 & 0.203233542890412 \tabularnewline
0.23 & 120.585218092389 & 0.230292814046314 \tabularnewline
0.24 & 120.639759315675 & 0.255980977202447 \tabularnewline
0.25 & 120.699284167600 & 0.279410812323991 \tabularnewline
0.26 & 120.763205317252 & 0.299663204644512 \tabularnewline
0.27 & 120.830815959544 & 0.316571778413262 \tabularnewline
0.28 & 120.901369169619 & 0.330450471563213 \tabularnewline
0.29 & 120.974130938334 & 0.341461842820312 \tabularnewline
0.3 & 121.048397338644 & 0.349630292781412 \tabularnewline
0.31 & 121.123481283451 & 0.354972712045304 \tabularnewline
0.32 & 121.198686487273 & 0.357036244447263 \tabularnewline
0.33 & 121.273291057134 & 0.355317069298528 \tabularnewline
0.34 & 121.346558995163 & 0.34968486396022 \tabularnewline
0.35 & 121.417786554487 & 0.33998624689853 \tabularnewline
0.36 & 121.486376175025 & 0.327022508974868 \tabularnewline
0.37 & 121.551918797483 & 0.311987204156991 \tabularnewline
0.38 & 121.614259805037 & 0.296456556408960 \tabularnewline
0.39 & 121.673526358104 & 0.282173801006666 \tabularnewline
0.4 & 121.730103399871 & 0.270835733025307 \tabularnewline
0.41 & 121.784558930999 & 0.262965685749214 \tabularnewline
0.42 & 121.837532214764 & 0.259162794487303 \tabularnewline
0.43 & 121.889607762683 & 0.258361084080328 \tabularnewline
0.44 & 121.941201077211 & 0.259192104795975 \tabularnewline
0.45 & 121.992478839267 & 0.260146936237316 \tabularnewline
0.46 & 122.043327848275 & 0.259236314761669 \tabularnewline
0.47 & 122.093375995949 & 0.255370829814012 \tabularnewline
0.48 & 122.142057705923 & 0.247501184965969 \tabularnewline
0.49 & 122.188708079975 & 0.235654384324272 \tabularnewline
0.5 & 122.232666041188 & 0.220170384936228 \tabularnewline
0.51 & 122.273367457471 & 0.201770952644857 \tabularnewline
0.52 & 122.310413813922 & 0.181573578068316 \tabularnewline
0.53 & 122.343608887981 & 0.160849650147984 \tabularnewline
0.54 & 122.372963140936 & 0.140604491725218 \tabularnewline
0.55 & 122.398671459530 & 0.121961126884054 \tabularnewline
0.56 & 122.421073388074 & 0.105291380062700 \tabularnewline
0.57 & 122.440605837818 & 0.0913489939287574 \tabularnewline
0.58 & 122.457756940630 & 0.0799063355149844 \tabularnewline
0.59 & 122.473027167566 & 0.0711631743774956 \tabularnewline
0.6 & 122.486901060210 & 0.0647898698035625 \tabularnewline
0.61 & 122.499830656699 & 0.060810532403126 \tabularnewline
0.62 & 122.512230221700 & 0.0587495029706807 \tabularnewline
0.63 & 122.524481058097 & 0.0582697787408827 \tabularnewline
0.64 & 122.536944558091 & 0.0597183827658675 \tabularnewline
0.65 & 122.549980783001 & 0.0626130408097967 \tabularnewline
0.66 & 122.563968504858 & 0.0672262705233443 \tabularnewline
0.67 & 122.579320961765 & 0.0737862424176658 \tabularnewline
0.68 & 122.596490192225 & 0.0823811788649573 \tabularnewline
0.69 & 122.615952682453 & 0.0933972182496554 \tabularnewline
0.7 & 122.638171194108 & 0.106398266520468 \tabularnewline
0.71 & 122.663532658518 & 0.121190156965280 \tabularnewline
0.72 & 122.692269697503 & 0.136409349169289 \tabularnewline
0.73 & 122.724382276916 & 0.151049137303081 \tabularnewline
0.74 & 122.759583741672 & 0.16355888260487 \tabularnewline
0.75 & 122.797298990048 & 0.172426469011774 \tabularnewline
0.76 & 122.836739148577 & 0.176675246199812 \tabularnewline
0.77 & 122.877065448618 & 0.176223950603727 \tabularnewline
0.78 & 122.917635607768 & 0.171923463276467 \tabularnewline
0.79 & 122.958301273086 & 0.166159611049454 \tabularnewline
0.8 & 122.999698912515 & 0.162657948717764 \tabularnewline
0.81 & 123.043454431070 & 0.166670218001395 \tabularnewline
0.82 & 123.092211518589 & 0.182941997308399 \tabularnewline
0.83 & 123.149405844637 & 0.214337191538229 \tabularnewline
0.84 & 123.218752632273 & 0.259802042137052 \tabularnewline
0.85 & 123.303497568340 & 0.314776585609433 \tabularnewline
0.86 & 123.40558557888 & 0.371972802436294 \tabularnewline
0.87 & 123.524988604290 & 0.422347665640179 \tabularnewline
0.88 & 123.659446845043 & 0.457725636900184 \tabularnewline
0.89 & 123.804778412579 & 0.472405084314377 \tabularnewline
0.9 & 123.955712044912 & 0.465141070306863 \tabularnewline
0.91 & 124.106971765798 & 0.439207487334509 \tabularnewline
0.92 & 124.254201919484 & 0.400655593357954 \tabularnewline
0.93 & 124.394367438482 & 0.355857303560699 \tabularnewline
0.94 & 124.525542314175 & 0.309124960664248 \tabularnewline
0.95 & 124.646396920325 & 0.261571888387536 \tabularnewline
0.96 & 124.755810265456 & 0.213088721502954 \tabularnewline
0.97 & 124.852427772167 & 0.165471041320103 \tabularnewline
0.98 & 124.933256683605 & 0.118777458300235 \tabularnewline
0.99 & 124.991736031528 & 0.0679085568263667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9599&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]120.055360367310[/C][C]0.0149022552539921[/C][/ROW]
[ROW][C]0.02[/C][C]120.069757210624[/C][C]0.034895620055403[/C][/ROW]
[ROW][C]0.03[/C][C]120.092601503317[/C][C]0.0507466707266599[/C][/ROW]
[ROW][C]0.04[/C][C]120.120347908938[/C][C]0.0590276393354719[/C][/ROW]
[ROW][C]0.05[/C][C]120.149030296695[/C][C]0.0599763971917081[/C][/ROW]
[ROW][C]0.06[/C][C]120.175726427007[/C][C]0.0557816400976301[/C][/ROW]
[ROW][C]0.07[/C][C]120.198937111397[/C][C]0.0492016849061045[/C][/ROW]
[ROW][C]0.08[/C][C]120.218408259783[/C][C]0.0428493680097359[/C][/ROW]
[ROW][C]0.09[/C][C]120.234748188623[/C][C]0.0386275630679112[/C][/ROW]
[ROW][C]0.1[/C][C]120.249016608151[/C][C]0.0378015708081898[/C][/ROW]
[ROW][C]0.11[/C][C]120.262376674252[/C][C]0.0403034969089473[/C][/ROW]
[ROW][C]0.12[/C][C]120.275857272626[/C][C]0.0453766821555808[/C][/ROW]
[ROW][C]0.13[/C][C]120.290241683820[/C][C]0.0521525706102348[/C][/ROW]
[ROW][C]0.14[/C][C]120.306071106897[/C][C]0.0602035187691363[/C][/ROW]
[ROW][C]0.15[/C][C]120.323728032927[/C][C]0.0693197288555698[/C][/ROW]
[ROW][C]0.16[/C][C]120.343551571943[/C][C]0.0799464540289927[/C][/ROW]
[ROW][C]0.17[/C][C]120.365938239906[/C][C]0.0928662158900143[/C][/ROW]
[ROW][C]0.18[/C][C]120.391394983446[/C][C]0.108925096102723[/C][/ROW]
[ROW][C]0.19[/C][C]120.420530483106[/C][C]0.128255598892157[/C][/ROW]
[ROW][C]0.2[/C][C]120.453990289286[/C][C]0.150999890079952[/C][/ROW]
[ROW][C]0.21[/C][C]120.492356885038[/C][C]0.176388932800182[/C][/ROW]
[ROW][C]0.22[/C][C]120.536044435867[/C][C]0.203233542890412[/C][/ROW]
[ROW][C]0.23[/C][C]120.585218092389[/C][C]0.230292814046314[/C][/ROW]
[ROW][C]0.24[/C][C]120.639759315675[/C][C]0.255980977202447[/C][/ROW]
[ROW][C]0.25[/C][C]120.699284167600[/C][C]0.279410812323991[/C][/ROW]
[ROW][C]0.26[/C][C]120.763205317252[/C][C]0.299663204644512[/C][/ROW]
[ROW][C]0.27[/C][C]120.830815959544[/C][C]0.316571778413262[/C][/ROW]
[ROW][C]0.28[/C][C]120.901369169619[/C][C]0.330450471563213[/C][/ROW]
[ROW][C]0.29[/C][C]120.974130938334[/C][C]0.341461842820312[/C][/ROW]
[ROW][C]0.3[/C][C]121.048397338644[/C][C]0.349630292781412[/C][/ROW]
[ROW][C]0.31[/C][C]121.123481283451[/C][C]0.354972712045304[/C][/ROW]
[ROW][C]0.32[/C][C]121.198686487273[/C][C]0.357036244447263[/C][/ROW]
[ROW][C]0.33[/C][C]121.273291057134[/C][C]0.355317069298528[/C][/ROW]
[ROW][C]0.34[/C][C]121.346558995163[/C][C]0.34968486396022[/C][/ROW]
[ROW][C]0.35[/C][C]121.417786554487[/C][C]0.33998624689853[/C][/ROW]
[ROW][C]0.36[/C][C]121.486376175025[/C][C]0.327022508974868[/C][/ROW]
[ROW][C]0.37[/C][C]121.551918797483[/C][C]0.311987204156991[/C][/ROW]
[ROW][C]0.38[/C][C]121.614259805037[/C][C]0.296456556408960[/C][/ROW]
[ROW][C]0.39[/C][C]121.673526358104[/C][C]0.282173801006666[/C][/ROW]
[ROW][C]0.4[/C][C]121.730103399871[/C][C]0.270835733025307[/C][/ROW]
[ROW][C]0.41[/C][C]121.784558930999[/C][C]0.262965685749214[/C][/ROW]
[ROW][C]0.42[/C][C]121.837532214764[/C][C]0.259162794487303[/C][/ROW]
[ROW][C]0.43[/C][C]121.889607762683[/C][C]0.258361084080328[/C][/ROW]
[ROW][C]0.44[/C][C]121.941201077211[/C][C]0.259192104795975[/C][/ROW]
[ROW][C]0.45[/C][C]121.992478839267[/C][C]0.260146936237316[/C][/ROW]
[ROW][C]0.46[/C][C]122.043327848275[/C][C]0.259236314761669[/C][/ROW]
[ROW][C]0.47[/C][C]122.093375995949[/C][C]0.255370829814012[/C][/ROW]
[ROW][C]0.48[/C][C]122.142057705923[/C][C]0.247501184965969[/C][/ROW]
[ROW][C]0.49[/C][C]122.188708079975[/C][C]0.235654384324272[/C][/ROW]
[ROW][C]0.5[/C][C]122.232666041188[/C][C]0.220170384936228[/C][/ROW]
[ROW][C]0.51[/C][C]122.273367457471[/C][C]0.201770952644857[/C][/ROW]
[ROW][C]0.52[/C][C]122.310413813922[/C][C]0.181573578068316[/C][/ROW]
[ROW][C]0.53[/C][C]122.343608887981[/C][C]0.160849650147984[/C][/ROW]
[ROW][C]0.54[/C][C]122.372963140936[/C][C]0.140604491725218[/C][/ROW]
[ROW][C]0.55[/C][C]122.398671459530[/C][C]0.121961126884054[/C][/ROW]
[ROW][C]0.56[/C][C]122.421073388074[/C][C]0.105291380062700[/C][/ROW]
[ROW][C]0.57[/C][C]122.440605837818[/C][C]0.0913489939287574[/C][/ROW]
[ROW][C]0.58[/C][C]122.457756940630[/C][C]0.0799063355149844[/C][/ROW]
[ROW][C]0.59[/C][C]122.473027167566[/C][C]0.0711631743774956[/C][/ROW]
[ROW][C]0.6[/C][C]122.486901060210[/C][C]0.0647898698035625[/C][/ROW]
[ROW][C]0.61[/C][C]122.499830656699[/C][C]0.060810532403126[/C][/ROW]
[ROW][C]0.62[/C][C]122.512230221700[/C][C]0.0587495029706807[/C][/ROW]
[ROW][C]0.63[/C][C]122.524481058097[/C][C]0.0582697787408827[/C][/ROW]
[ROW][C]0.64[/C][C]122.536944558091[/C][C]0.0597183827658675[/C][/ROW]
[ROW][C]0.65[/C][C]122.549980783001[/C][C]0.0626130408097967[/C][/ROW]
[ROW][C]0.66[/C][C]122.563968504858[/C][C]0.0672262705233443[/C][/ROW]
[ROW][C]0.67[/C][C]122.579320961765[/C][C]0.0737862424176658[/C][/ROW]
[ROW][C]0.68[/C][C]122.596490192225[/C][C]0.0823811788649573[/C][/ROW]
[ROW][C]0.69[/C][C]122.615952682453[/C][C]0.0933972182496554[/C][/ROW]
[ROW][C]0.7[/C][C]122.638171194108[/C][C]0.106398266520468[/C][/ROW]
[ROW][C]0.71[/C][C]122.663532658518[/C][C]0.121190156965280[/C][/ROW]
[ROW][C]0.72[/C][C]122.692269697503[/C][C]0.136409349169289[/C][/ROW]
[ROW][C]0.73[/C][C]122.724382276916[/C][C]0.151049137303081[/C][/ROW]
[ROW][C]0.74[/C][C]122.759583741672[/C][C]0.16355888260487[/C][/ROW]
[ROW][C]0.75[/C][C]122.797298990048[/C][C]0.172426469011774[/C][/ROW]
[ROW][C]0.76[/C][C]122.836739148577[/C][C]0.176675246199812[/C][/ROW]
[ROW][C]0.77[/C][C]122.877065448618[/C][C]0.176223950603727[/C][/ROW]
[ROW][C]0.78[/C][C]122.917635607768[/C][C]0.171923463276467[/C][/ROW]
[ROW][C]0.79[/C][C]122.958301273086[/C][C]0.166159611049454[/C][/ROW]
[ROW][C]0.8[/C][C]122.999698912515[/C][C]0.162657948717764[/C][/ROW]
[ROW][C]0.81[/C][C]123.043454431070[/C][C]0.166670218001395[/C][/ROW]
[ROW][C]0.82[/C][C]123.092211518589[/C][C]0.182941997308399[/C][/ROW]
[ROW][C]0.83[/C][C]123.149405844637[/C][C]0.214337191538229[/C][/ROW]
[ROW][C]0.84[/C][C]123.218752632273[/C][C]0.259802042137052[/C][/ROW]
[ROW][C]0.85[/C][C]123.303497568340[/C][C]0.314776585609433[/C][/ROW]
[ROW][C]0.86[/C][C]123.40558557888[/C][C]0.371972802436294[/C][/ROW]
[ROW][C]0.87[/C][C]123.524988604290[/C][C]0.422347665640179[/C][/ROW]
[ROW][C]0.88[/C][C]123.659446845043[/C][C]0.457725636900184[/C][/ROW]
[ROW][C]0.89[/C][C]123.804778412579[/C][C]0.472405084314377[/C][/ROW]
[ROW][C]0.9[/C][C]123.955712044912[/C][C]0.465141070306863[/C][/ROW]
[ROW][C]0.91[/C][C]124.106971765798[/C][C]0.439207487334509[/C][/ROW]
[ROW][C]0.92[/C][C]124.254201919484[/C][C]0.400655593357954[/C][/ROW]
[ROW][C]0.93[/C][C]124.394367438482[/C][C]0.355857303560699[/C][/ROW]
[ROW][C]0.94[/C][C]124.525542314175[/C][C]0.309124960664248[/C][/ROW]
[ROW][C]0.95[/C][C]124.646396920325[/C][C]0.261571888387536[/C][/ROW]
[ROW][C]0.96[/C][C]124.755810265456[/C][C]0.213088721502954[/C][/ROW]
[ROW][C]0.97[/C][C]124.852427772167[/C][C]0.165471041320103[/C][/ROW]
[ROW][C]0.98[/C][C]124.933256683605[/C][C]0.118777458300235[/C][/ROW]
[ROW][C]0.99[/C][C]124.991736031528[/C][C]0.0679085568263667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9599&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
0.01120.0553603673100.0149022552539921
0.02120.0697572106240.034895620055403
0.03120.0926015033170.0507466707266599
0.04120.1203479089380.0590276393354719
0.05120.1490302966950.0599763971917081
0.06120.1757264270070.0557816400976301
0.07120.1989371113970.0492016849061045
0.08120.2184082597830.0428493680097359
0.09120.2347481886230.0386275630679112
0.1120.2490166081510.0378015708081898
0.11120.2623766742520.0403034969089473
0.12120.2758572726260.0453766821555808
0.13120.2902416838200.0521525706102348
0.14120.3060711068970.0602035187691363
0.15120.3237280329270.0693197288555698
0.16120.3435515719430.0799464540289927
0.17120.3659382399060.0928662158900143
0.18120.3913949834460.108925096102723
0.19120.4205304831060.128255598892157
0.2120.4539902892860.150999890079952
0.21120.4923568850380.176388932800182
0.22120.5360444358670.203233542890412
0.23120.5852180923890.230292814046314
0.24120.6397593156750.255980977202447
0.25120.6992841676000.279410812323991
0.26120.7632053172520.299663204644512
0.27120.8308159595440.316571778413262
0.28120.9013691696190.330450471563213
0.29120.9741309383340.341461842820312
0.3121.0483973386440.349630292781412
0.31121.1234812834510.354972712045304
0.32121.1986864872730.357036244447263
0.33121.2732910571340.355317069298528
0.34121.3465589951630.34968486396022
0.35121.4177865544870.33998624689853
0.36121.4863761750250.327022508974868
0.37121.5519187974830.311987204156991
0.38121.6142598050370.296456556408960
0.39121.6735263581040.282173801006666
0.4121.7301033998710.270835733025307
0.41121.7845589309990.262965685749214
0.42121.8375322147640.259162794487303
0.43121.8896077626830.258361084080328
0.44121.9412010772110.259192104795975
0.45121.9924788392670.260146936237316
0.46122.0433278482750.259236314761669
0.47122.0933759959490.255370829814012
0.48122.1420577059230.247501184965969
0.49122.1887080799750.235654384324272
0.5122.2326660411880.220170384936228
0.51122.2733674574710.201770952644857
0.52122.3104138139220.181573578068316
0.53122.3436088879810.160849650147984
0.54122.3729631409360.140604491725218
0.55122.3986714595300.121961126884054
0.56122.4210733880740.105291380062700
0.57122.4406058378180.0913489939287574
0.58122.4577569406300.0799063355149844
0.59122.4730271675660.0711631743774956
0.6122.4869010602100.0647898698035625
0.61122.4998306566990.060810532403126
0.62122.5122302217000.0587495029706807
0.63122.5244810580970.0582697787408827
0.64122.5369445580910.0597183827658675
0.65122.5499807830010.0626130408097967
0.66122.5639685048580.0672262705233443
0.67122.5793209617650.0737862424176658
0.68122.5964901922250.0823811788649573
0.69122.6159526824530.0933972182496554
0.7122.6381711941080.106398266520468
0.71122.6635326585180.121190156965280
0.72122.6922696975030.136409349169289
0.73122.7243822769160.151049137303081
0.74122.7595837416720.16355888260487
0.75122.7972989900480.172426469011774
0.76122.8367391485770.176675246199812
0.77122.8770654486180.176223950603727
0.78122.9176356077680.171923463276467
0.79122.9583012730860.166159611049454
0.8122.9996989125150.162657948717764
0.81123.0434544310700.166670218001395
0.82123.0922115185890.182941997308399
0.83123.1494058446370.214337191538229
0.84123.2187526322730.259802042137052
0.85123.3034975683400.314776585609433
0.86123.405585578880.371972802436294
0.87123.5249886042900.422347665640179
0.88123.6594468450430.457725636900184
0.89123.8047784125790.472405084314377
0.9123.9557120449120.465141070306863
0.91124.1069717657980.439207487334509
0.92124.2542019194840.400655593357954
0.93124.3943674384820.355857303560699
0.94124.5255423141750.309124960664248
0.95124.6463969203250.261571888387536
0.96124.7558102654560.213088721502954
0.97124.8524277721670.165471041320103
0.98124.9332566836050.118777458300235
0.99124.9917360315280.0679085568263667


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')