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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 computationFri, 29 Feb 2008 11:41:14 -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/29/t12043105076hoa2pdxo082grc.htm/, Retrieved Wed, 15 May 2024 11:07:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9306, Retrieved Wed, 15 May 2024 11:07:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact238

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] [H-D Percentielen ...] [2008-02-29 18:41:14] [d697b8fe067a6665f759724e14415da5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9306&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9306&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430000000006820
0.021.430000000104220
0.031.430000000904410
0.041.430000005690970
0.051.430000028570870
0.061.430000120450494.42712223201385e-07
0.071.430000440253432.17917842828120e-06
0.081.430001425877727.40704651250433e-06
0.091.430004157594171.96239405272873e-05
0.11.430011046654504.79761672392414e-05
0.111.430027001273320.000109075057362718
0.121.430061186123550.000229132139473758
0.131.430129364111950.000448833215003293
0.141.430256574890630.000823304722619245
0.151.430479593054120.00141781014282124
0.161.430848309479570.00230123462016241
0.171.431425028275430.00353423311130053
0.181.432280808102070.00514911454278103
0.191.433488474670360.00713272864576062
0.21.435112741310330.0094163243215187
0.211.437198804047090.0118701531559083
0.221.439761534814180.0143130048491227
0.231.442777689281220.0165323281388476
0.241.446183199515650.0183191978991667
0.251.449876662911900.0194981227081449
0.261.453728804893800.0199570414871888
0.271.457596357746290.0196627431809082
0.281.461337842604870.0186671070172086
0.291.464828423014060.0170897878890567
0.31.467971368580760.0150997772061087
0.311.470704571319740.0128852010466265
0.321.473001704030760.0106265507922391
0.331.474868679597360.00847463028636962
0.341.476336815156960.00653907779862801
0.351.477454410830790.00488388832010477
0.361.478278342788950.00353266688244057
0.371.478866868859410.00247601592333206
0.381.479274316763370.00168161335530791
0.391.479547820843310.00110742697562570
0.41.479725893145630.000707075737994859
0.411.479838398638840.00043809004534669
0.421.479907441229600.000263881138461951
0.431.479948715884930.000154160870610029
0.441.479972992409938.90678452431833e-05
0.451.479987524755005.25859311579662e-05
0.461.479997296960023.73521357717388e-05
0.471.480006108823664.27056792850141e-05
0.481.480017568170107.05029948287026e-05
0.491.480036094947350.000124261453400580
0.51.480068058679040.000218852597599847
0.511.480123165384930.000377470763825504
0.521.480216179061520.000630970253936869
0.531.480368999043590.00102710877578104
0.541.480613011266710.00162179120336618
0.551.480991487789620.00248603461724309
0.561.481561636622500.0037028684073055
0.571.482395732681330.00535137914201888
0.581.483580639730070.00750846342077
0.591.485215025307440.0102270668381824
0.61.487403737401000.0135190720356243
0.611.490249190279020.0173409863680126
0.621.493840184671670.0215837401925655
0.631.498239282689610.0260629661572507
0.641.503470518786770.0305335803668967
0.651.509509658408370.0347029612543728
0.661.516279226869670.0382703236252942
0.671.523650008548920.0409579778364761
0.681.531449682158640.0425628080454147
0.691.539477895566460.0429771137730867
0.71.547525712722960.0422151993935247
0.711.555396357338940.0404053351195192
0.721.562923838647720.0377762076505255
0.731.569986500970120.0346133404235095
0.741.576513678841170.0312188981855784
0.751.582485134871410.0278738255564309
0.761.587924370320590.0247986500221108
0.771.592887835495010.0221377189868912
0.781.597452323162890.0199605839250546
0.791.601702456649090.0182663540718111
0.81.605719464300290.0170057485054093
0.811.60957174273750.0160893426293743
0.821.613307366203880.0154034997282670
0.831.616948812127830.0148159717592614
0.841.620490611508600.0141937863083893
0.851.62390107319120.0134190000290535
0.861.627129278520780.0124132549939064
0.871.630117858523500.0111575627950106
0.881.632820468377480.00970509251729815
0.891.635220445202310.0081821174909632
0.91.63734441000510.0067740814390813
0.911.639262827665270.00569040730215009
0.921.641070897528130.00508234849453381
0.931.642849859895700.00489649589849939
0.941.644620995351480.00482089471622041
0.951.646317116246130.00446791115648848
0.961.647798020566860.00362413072130784
0.971.648916496474200.00239372922480527
0.981.649603840230700.00115850788957803
0.991.649916099632790.000320402554401197

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43000000000682 & 0 \tabularnewline
0.02 & 1.43000000010422 & 0 \tabularnewline
0.03 & 1.43000000090441 & 0 \tabularnewline
0.04 & 1.43000000569097 & 0 \tabularnewline
0.05 & 1.43000002857087 & 0 \tabularnewline
0.06 & 1.43000012045049 & 4.42712223201385e-07 \tabularnewline
0.07 & 1.43000044025343 & 2.17917842828120e-06 \tabularnewline
0.08 & 1.43000142587772 & 7.40704651250433e-06 \tabularnewline
0.09 & 1.43000415759417 & 1.96239405272873e-05 \tabularnewline
0.1 & 1.43001104665450 & 4.79761672392414e-05 \tabularnewline
0.11 & 1.43002700127332 & 0.000109075057362718 \tabularnewline
0.12 & 1.43006118612355 & 0.000229132139473758 \tabularnewline
0.13 & 1.43012936411195 & 0.000448833215003293 \tabularnewline
0.14 & 1.43025657489063 & 0.000823304722619245 \tabularnewline
0.15 & 1.43047959305412 & 0.00141781014282124 \tabularnewline
0.16 & 1.43084830947957 & 0.00230123462016241 \tabularnewline
0.17 & 1.43142502827543 & 0.00353423311130053 \tabularnewline
0.18 & 1.43228080810207 & 0.00514911454278103 \tabularnewline
0.19 & 1.43348847467036 & 0.00713272864576062 \tabularnewline
0.2 & 1.43511274131033 & 0.0094163243215187 \tabularnewline
0.21 & 1.43719880404709 & 0.0118701531559083 \tabularnewline
0.22 & 1.43976153481418 & 0.0143130048491227 \tabularnewline
0.23 & 1.44277768928122 & 0.0165323281388476 \tabularnewline
0.24 & 1.44618319951565 & 0.0183191978991667 \tabularnewline
0.25 & 1.44987666291190 & 0.0194981227081449 \tabularnewline
0.26 & 1.45372880489380 & 0.0199570414871888 \tabularnewline
0.27 & 1.45759635774629 & 0.0196627431809082 \tabularnewline
0.28 & 1.46133784260487 & 0.0186671070172086 \tabularnewline
0.29 & 1.46482842301406 & 0.0170897878890567 \tabularnewline
0.3 & 1.46797136858076 & 0.0150997772061087 \tabularnewline
0.31 & 1.47070457131974 & 0.0128852010466265 \tabularnewline
0.32 & 1.47300170403076 & 0.0106265507922391 \tabularnewline
0.33 & 1.47486867959736 & 0.00847463028636962 \tabularnewline
0.34 & 1.47633681515696 & 0.00653907779862801 \tabularnewline
0.35 & 1.47745441083079 & 0.00488388832010477 \tabularnewline
0.36 & 1.47827834278895 & 0.00353266688244057 \tabularnewline
0.37 & 1.47886686885941 & 0.00247601592333206 \tabularnewline
0.38 & 1.47927431676337 & 0.00168161335530791 \tabularnewline
0.39 & 1.47954782084331 & 0.00110742697562570 \tabularnewline
0.4 & 1.47972589314563 & 0.000707075737994859 \tabularnewline
0.41 & 1.47983839863884 & 0.00043809004534669 \tabularnewline
0.42 & 1.47990744122960 & 0.000263881138461951 \tabularnewline
0.43 & 1.47994871588493 & 0.000154160870610029 \tabularnewline
0.44 & 1.47997299240993 & 8.90678452431833e-05 \tabularnewline
0.45 & 1.47998752475500 & 5.25859311579662e-05 \tabularnewline
0.46 & 1.47999729696002 & 3.73521357717388e-05 \tabularnewline
0.47 & 1.48000610882366 & 4.27056792850141e-05 \tabularnewline
0.48 & 1.48001756817010 & 7.05029948287026e-05 \tabularnewline
0.49 & 1.48003609494735 & 0.000124261453400580 \tabularnewline
0.5 & 1.48006805867904 & 0.000218852597599847 \tabularnewline
0.51 & 1.48012316538493 & 0.000377470763825504 \tabularnewline
0.52 & 1.48021617906152 & 0.000630970253936869 \tabularnewline
0.53 & 1.48036899904359 & 0.00102710877578104 \tabularnewline
0.54 & 1.48061301126671 & 0.00162179120336618 \tabularnewline
0.55 & 1.48099148778962 & 0.00248603461724309 \tabularnewline
0.56 & 1.48156163662250 & 0.0037028684073055 \tabularnewline
0.57 & 1.48239573268133 & 0.00535137914201888 \tabularnewline
0.58 & 1.48358063973007 & 0.00750846342077 \tabularnewline
0.59 & 1.48521502530744 & 0.0102270668381824 \tabularnewline
0.6 & 1.48740373740100 & 0.0135190720356243 \tabularnewline
0.61 & 1.49024919027902 & 0.0173409863680126 \tabularnewline
0.62 & 1.49384018467167 & 0.0215837401925655 \tabularnewline
0.63 & 1.49823928268961 & 0.0260629661572507 \tabularnewline
0.64 & 1.50347051878677 & 0.0305335803668967 \tabularnewline
0.65 & 1.50950965840837 & 0.0347029612543728 \tabularnewline
0.66 & 1.51627922686967 & 0.0382703236252942 \tabularnewline
0.67 & 1.52365000854892 & 0.0409579778364761 \tabularnewline
0.68 & 1.53144968215864 & 0.0425628080454147 \tabularnewline
0.69 & 1.53947789556646 & 0.0429771137730867 \tabularnewline
0.7 & 1.54752571272296 & 0.0422151993935247 \tabularnewline
0.71 & 1.55539635733894 & 0.0404053351195192 \tabularnewline
0.72 & 1.56292383864772 & 0.0377762076505255 \tabularnewline
0.73 & 1.56998650097012 & 0.0346133404235095 \tabularnewline
0.74 & 1.57651367884117 & 0.0312188981855784 \tabularnewline
0.75 & 1.58248513487141 & 0.0278738255564309 \tabularnewline
0.76 & 1.58792437032059 & 0.0247986500221108 \tabularnewline
0.77 & 1.59288783549501 & 0.0221377189868912 \tabularnewline
0.78 & 1.59745232316289 & 0.0199605839250546 \tabularnewline
0.79 & 1.60170245664909 & 0.0182663540718111 \tabularnewline
0.8 & 1.60571946430029 & 0.0170057485054093 \tabularnewline
0.81 & 1.6095717427375 & 0.0160893426293743 \tabularnewline
0.82 & 1.61330736620388 & 0.0154034997282670 \tabularnewline
0.83 & 1.61694881212783 & 0.0148159717592614 \tabularnewline
0.84 & 1.62049061150860 & 0.0141937863083893 \tabularnewline
0.85 & 1.6239010731912 & 0.0134190000290535 \tabularnewline
0.86 & 1.62712927852078 & 0.0124132549939064 \tabularnewline
0.87 & 1.63011785852350 & 0.0111575627950106 \tabularnewline
0.88 & 1.63282046837748 & 0.00970509251729815 \tabularnewline
0.89 & 1.63522044520231 & 0.0081821174909632 \tabularnewline
0.9 & 1.6373444100051 & 0.0067740814390813 \tabularnewline
0.91 & 1.63926282766527 & 0.00569040730215009 \tabularnewline
0.92 & 1.64107089752813 & 0.00508234849453381 \tabularnewline
0.93 & 1.64284985989570 & 0.00489649589849939 \tabularnewline
0.94 & 1.64462099535148 & 0.00482089471622041 \tabularnewline
0.95 & 1.64631711624613 & 0.00446791115648848 \tabularnewline
0.96 & 1.64779802056686 & 0.00362413072130784 \tabularnewline
0.97 & 1.64891649647420 & 0.00239372922480527 \tabularnewline
0.98 & 1.64960384023070 & 0.00115850788957803 \tabularnewline
0.99 & 1.64991609963279 & 0.000320402554401197 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9306&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]1.43000000000682[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]1.43000000010422[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]1.43000000090441[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]1.43000000569097[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]1.43000002857087[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]1.43000012045049[/C][C]4.42712223201385e-07[/C][/ROW]
[ROW][C]0.07[/C][C]1.43000044025343[/C][C]2.17917842828120e-06[/C][/ROW]
[ROW][C]0.08[/C][C]1.43000142587772[/C][C]7.40704651250433e-06[/C][/ROW]
[ROW][C]0.09[/C][C]1.43000415759417[/C][C]1.96239405272873e-05[/C][/ROW]
[ROW][C]0.1[/C][C]1.43001104665450[/C][C]4.79761672392414e-05[/C][/ROW]
[ROW][C]0.11[/C][C]1.43002700127332[/C][C]0.000109075057362718[/C][/ROW]
[ROW][C]0.12[/C][C]1.43006118612355[/C][C]0.000229132139473758[/C][/ROW]
[ROW][C]0.13[/C][C]1.43012936411195[/C][C]0.000448833215003293[/C][/ROW]
[ROW][C]0.14[/C][C]1.43025657489063[/C][C]0.000823304722619245[/C][/ROW]
[ROW][C]0.15[/C][C]1.43047959305412[/C][C]0.00141781014282124[/C][/ROW]
[ROW][C]0.16[/C][C]1.43084830947957[/C][C]0.00230123462016241[/C][/ROW]
[ROW][C]0.17[/C][C]1.43142502827543[/C][C]0.00353423311130053[/C][/ROW]
[ROW][C]0.18[/C][C]1.43228080810207[/C][C]0.00514911454278103[/C][/ROW]
[ROW][C]0.19[/C][C]1.43348847467036[/C][C]0.00713272864576062[/C][/ROW]
[ROW][C]0.2[/C][C]1.43511274131033[/C][C]0.0094163243215187[/C][/ROW]
[ROW][C]0.21[/C][C]1.43719880404709[/C][C]0.0118701531559083[/C][/ROW]
[ROW][C]0.22[/C][C]1.43976153481418[/C][C]0.0143130048491227[/C][/ROW]
[ROW][C]0.23[/C][C]1.44277768928122[/C][C]0.0165323281388476[/C][/ROW]
[ROW][C]0.24[/C][C]1.44618319951565[/C][C]0.0183191978991667[/C][/ROW]
[ROW][C]0.25[/C][C]1.44987666291190[/C][C]0.0194981227081449[/C][/ROW]
[ROW][C]0.26[/C][C]1.45372880489380[/C][C]0.0199570414871888[/C][/ROW]
[ROW][C]0.27[/C][C]1.45759635774629[/C][C]0.0196627431809082[/C][/ROW]
[ROW][C]0.28[/C][C]1.46133784260487[/C][C]0.0186671070172086[/C][/ROW]
[ROW][C]0.29[/C][C]1.46482842301406[/C][C]0.0170897878890567[/C][/ROW]
[ROW][C]0.3[/C][C]1.46797136858076[/C][C]0.0150997772061087[/C][/ROW]
[ROW][C]0.31[/C][C]1.47070457131974[/C][C]0.0128852010466265[/C][/ROW]
[ROW][C]0.32[/C][C]1.47300170403076[/C][C]0.0106265507922391[/C][/ROW]
[ROW][C]0.33[/C][C]1.47486867959736[/C][C]0.00847463028636962[/C][/ROW]
[ROW][C]0.34[/C][C]1.47633681515696[/C][C]0.00653907779862801[/C][/ROW]
[ROW][C]0.35[/C][C]1.47745441083079[/C][C]0.00488388832010477[/C][/ROW]
[ROW][C]0.36[/C][C]1.47827834278895[/C][C]0.00353266688244057[/C][/ROW]
[ROW][C]0.37[/C][C]1.47886686885941[/C][C]0.00247601592333206[/C][/ROW]
[ROW][C]0.38[/C][C]1.47927431676337[/C][C]0.00168161335530791[/C][/ROW]
[ROW][C]0.39[/C][C]1.47954782084331[/C][C]0.00110742697562570[/C][/ROW]
[ROW][C]0.4[/C][C]1.47972589314563[/C][C]0.000707075737994859[/C][/ROW]
[ROW][C]0.41[/C][C]1.47983839863884[/C][C]0.00043809004534669[/C][/ROW]
[ROW][C]0.42[/C][C]1.47990744122960[/C][C]0.000263881138461951[/C][/ROW]
[ROW][C]0.43[/C][C]1.47994871588493[/C][C]0.000154160870610029[/C][/ROW]
[ROW][C]0.44[/C][C]1.47997299240993[/C][C]8.90678452431833e-05[/C][/ROW]
[ROW][C]0.45[/C][C]1.47998752475500[/C][C]5.25859311579662e-05[/C][/ROW]
[ROW][C]0.46[/C][C]1.47999729696002[/C][C]3.73521357717388e-05[/C][/ROW]
[ROW][C]0.47[/C][C]1.48000610882366[/C][C]4.27056792850141e-05[/C][/ROW]
[ROW][C]0.48[/C][C]1.48001756817010[/C][C]7.05029948287026e-05[/C][/ROW]
[ROW][C]0.49[/C][C]1.48003609494735[/C][C]0.000124261453400580[/C][/ROW]
[ROW][C]0.5[/C][C]1.48006805867904[/C][C]0.000218852597599847[/C][/ROW]
[ROW][C]0.51[/C][C]1.48012316538493[/C][C]0.000377470763825504[/C][/ROW]
[ROW][C]0.52[/C][C]1.48021617906152[/C][C]0.000630970253936869[/C][/ROW]
[ROW][C]0.53[/C][C]1.48036899904359[/C][C]0.00102710877578104[/C][/ROW]
[ROW][C]0.54[/C][C]1.48061301126671[/C][C]0.00162179120336618[/C][/ROW]
[ROW][C]0.55[/C][C]1.48099148778962[/C][C]0.00248603461724309[/C][/ROW]
[ROW][C]0.56[/C][C]1.48156163662250[/C][C]0.0037028684073055[/C][/ROW]
[ROW][C]0.57[/C][C]1.48239573268133[/C][C]0.00535137914201888[/C][/ROW]
[ROW][C]0.58[/C][C]1.48358063973007[/C][C]0.00750846342077[/C][/ROW]
[ROW][C]0.59[/C][C]1.48521502530744[/C][C]0.0102270668381824[/C][/ROW]
[ROW][C]0.6[/C][C]1.48740373740100[/C][C]0.0135190720356243[/C][/ROW]
[ROW][C]0.61[/C][C]1.49024919027902[/C][C]0.0173409863680126[/C][/ROW]
[ROW][C]0.62[/C][C]1.49384018467167[/C][C]0.0215837401925655[/C][/ROW]
[ROW][C]0.63[/C][C]1.49823928268961[/C][C]0.0260629661572507[/C][/ROW]
[ROW][C]0.64[/C][C]1.50347051878677[/C][C]0.0305335803668967[/C][/ROW]
[ROW][C]0.65[/C][C]1.50950965840837[/C][C]0.0347029612543728[/C][/ROW]
[ROW][C]0.66[/C][C]1.51627922686967[/C][C]0.0382703236252942[/C][/ROW]
[ROW][C]0.67[/C][C]1.52365000854892[/C][C]0.0409579778364761[/C][/ROW]
[ROW][C]0.68[/C][C]1.53144968215864[/C][C]0.0425628080454147[/C][/ROW]
[ROW][C]0.69[/C][C]1.53947789556646[/C][C]0.0429771137730867[/C][/ROW]
[ROW][C]0.7[/C][C]1.54752571272296[/C][C]0.0422151993935247[/C][/ROW]
[ROW][C]0.71[/C][C]1.55539635733894[/C][C]0.0404053351195192[/C][/ROW]
[ROW][C]0.72[/C][C]1.56292383864772[/C][C]0.0377762076505255[/C][/ROW]
[ROW][C]0.73[/C][C]1.56998650097012[/C][C]0.0346133404235095[/C][/ROW]
[ROW][C]0.74[/C][C]1.57651367884117[/C][C]0.0312188981855784[/C][/ROW]
[ROW][C]0.75[/C][C]1.58248513487141[/C][C]0.0278738255564309[/C][/ROW]
[ROW][C]0.76[/C][C]1.58792437032059[/C][C]0.0247986500221108[/C][/ROW]
[ROW][C]0.77[/C][C]1.59288783549501[/C][C]0.0221377189868912[/C][/ROW]
[ROW][C]0.78[/C][C]1.59745232316289[/C][C]0.0199605839250546[/C][/ROW]
[ROW][C]0.79[/C][C]1.60170245664909[/C][C]0.0182663540718111[/C][/ROW]
[ROW][C]0.8[/C][C]1.60571946430029[/C][C]0.0170057485054093[/C][/ROW]
[ROW][C]0.81[/C][C]1.6095717427375[/C][C]0.0160893426293743[/C][/ROW]
[ROW][C]0.82[/C][C]1.61330736620388[/C][C]0.0154034997282670[/C][/ROW]
[ROW][C]0.83[/C][C]1.61694881212783[/C][C]0.0148159717592614[/C][/ROW]
[ROW][C]0.84[/C][C]1.62049061150860[/C][C]0.0141937863083893[/C][/ROW]
[ROW][C]0.85[/C][C]1.6239010731912[/C][C]0.0134190000290535[/C][/ROW]
[ROW][C]0.86[/C][C]1.62712927852078[/C][C]0.0124132549939064[/C][/ROW]
[ROW][C]0.87[/C][C]1.63011785852350[/C][C]0.0111575627950106[/C][/ROW]
[ROW][C]0.88[/C][C]1.63282046837748[/C][C]0.00970509251729815[/C][/ROW]
[ROW][C]0.89[/C][C]1.63522044520231[/C][C]0.0081821174909632[/C][/ROW]
[ROW][C]0.9[/C][C]1.6373444100051[/C][C]0.0067740814390813[/C][/ROW]
[ROW][C]0.91[/C][C]1.63926282766527[/C][C]0.00569040730215009[/C][/ROW]
[ROW][C]0.92[/C][C]1.64107089752813[/C][C]0.00508234849453381[/C][/ROW]
[ROW][C]0.93[/C][C]1.64284985989570[/C][C]0.00489649589849939[/C][/ROW]
[ROW][C]0.94[/C][C]1.64462099535148[/C][C]0.00482089471622041[/C][/ROW]
[ROW][C]0.95[/C][C]1.64631711624613[/C][C]0.00446791115648848[/C][/ROW]
[ROW][C]0.96[/C][C]1.64779802056686[/C][C]0.00362413072130784[/C][/ROW]
[ROW][C]0.97[/C][C]1.64891649647420[/C][C]0.00239372922480527[/C][/ROW]
[ROW][C]0.98[/C][C]1.64960384023070[/C][C]0.00115850788957803[/C][/ROW]
[ROW][C]0.99[/C][C]1.64991609963279[/C][C]0.000320402554401197[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9306&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
0.011.430000000006820
0.021.430000000104220
0.031.430000000904410
0.041.430000005690970
0.051.430000028570870
0.061.430000120450494.42712223201385e-07
0.071.430000440253432.17917842828120e-06
0.081.430001425877727.40704651250433e-06
0.091.430004157594171.96239405272873e-05
0.11.430011046654504.79761672392414e-05
0.111.430027001273320.000109075057362718
0.121.430061186123550.000229132139473758
0.131.430129364111950.000448833215003293
0.141.430256574890630.000823304722619245
0.151.430479593054120.00141781014282124
0.161.430848309479570.00230123462016241
0.171.431425028275430.00353423311130053
0.181.432280808102070.00514911454278103
0.191.433488474670360.00713272864576062
0.21.435112741310330.0094163243215187
0.211.437198804047090.0118701531559083
0.221.439761534814180.0143130048491227
0.231.442777689281220.0165323281388476
0.241.446183199515650.0183191978991667
0.251.449876662911900.0194981227081449
0.261.453728804893800.0199570414871888
0.271.457596357746290.0196627431809082
0.281.461337842604870.0186671070172086
0.291.464828423014060.0170897878890567
0.31.467971368580760.0150997772061087
0.311.470704571319740.0128852010466265
0.321.473001704030760.0106265507922391
0.331.474868679597360.00847463028636962
0.341.476336815156960.00653907779862801
0.351.477454410830790.00488388832010477
0.361.478278342788950.00353266688244057
0.371.478866868859410.00247601592333206
0.381.479274316763370.00168161335530791
0.391.479547820843310.00110742697562570
0.41.479725893145630.000707075737994859
0.411.479838398638840.00043809004534669
0.421.479907441229600.000263881138461951
0.431.479948715884930.000154160870610029
0.441.479972992409938.90678452431833e-05
0.451.479987524755005.25859311579662e-05
0.461.479997296960023.73521357717388e-05
0.471.480006108823664.27056792850141e-05
0.481.480017568170107.05029948287026e-05
0.491.480036094947350.000124261453400580
0.51.480068058679040.000218852597599847
0.511.480123165384930.000377470763825504
0.521.480216179061520.000630970253936869
0.531.480368999043590.00102710877578104
0.541.480613011266710.00162179120336618
0.551.480991487789620.00248603461724309
0.561.481561636622500.0037028684073055
0.571.482395732681330.00535137914201888
0.581.483580639730070.00750846342077
0.591.485215025307440.0102270668381824
0.61.487403737401000.0135190720356243
0.611.490249190279020.0173409863680126
0.621.493840184671670.0215837401925655
0.631.498239282689610.0260629661572507
0.641.503470518786770.0305335803668967
0.651.509509658408370.0347029612543728
0.661.516279226869670.0382703236252942
0.671.523650008548920.0409579778364761
0.681.531449682158640.0425628080454147
0.691.539477895566460.0429771137730867
0.71.547525712722960.0422151993935247
0.711.555396357338940.0404053351195192
0.721.562923838647720.0377762076505255
0.731.569986500970120.0346133404235095
0.741.576513678841170.0312188981855784
0.751.582485134871410.0278738255564309
0.761.587924370320590.0247986500221108
0.771.592887835495010.0221377189868912
0.781.597452323162890.0199605839250546
0.791.601702456649090.0182663540718111
0.81.605719464300290.0170057485054093
0.811.60957174273750.0160893426293743
0.821.613307366203880.0154034997282670
0.831.616948812127830.0148159717592614
0.841.620490611508600.0141937863083893
0.851.62390107319120.0134190000290535
0.861.627129278520780.0124132549939064
0.871.630117858523500.0111575627950106
0.881.632820468377480.00970509251729815
0.891.635220445202310.0081821174909632
0.91.63734441000510.0067740814390813
0.911.639262827665270.00569040730215009
0.921.641070897528130.00508234849453381
0.931.642849859895700.00489649589849939
0.941.644620995351480.00482089471622041
0.951.646317116246130.00446791115648848
0.961.647798020566860.00362413072130784
0.971.648916496474200.00239372922480527
0.981.649603840230700.00115850788957803
0.991.649916099632790.000320402554401197


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')