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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 computationWed, 28 Dec 2016 15:32:45 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/28/t14829392442ph4yqaizaiukn0.htm/, Retrieved Sun, 05 May 2024 14:44:48 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 14:44:48 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.83
95.87
96.06
96.06
96.15
96.26
96.28
96.36
96.38
96.43
96.47
96.55
96.71
96.87
96.99
97.1
97.26
97.31
97.33
97.33
97.45
97.61
97.59
97.6
97.96
98.36
98.36
98.51
98.77
98.78
98.89
98.86
99.04
99.09
99.1
99.12
99.37
99.46
99.6
99.88
99.88
100.01
100.02
100.19
100.2
100.35
100.47
100.58
101.4
101.67
101.82
101.85
101.98
102.06
102.16
102.2
102.35
102.47
102.55
102.62
102.8
102.87
102.94
102.95
102.94
103.05
103.09
103.1
103.13
103.19
103.36
103.42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.85599700324050.0714496968502652
0.0295.90441740270550.106697171029355
0.0395.96439166744050.121564921251185
0.0496.02588435534670.122597617530855
0.0596.08382962517640.122078113258828
0.0696.13725880371160.124082001743301
0.0796.18700381010140.127058169599248
0.0896.23418534893180.130205160115329
0.0996.27981729919330.134796270600679
0.196.3249514107970.143203132509629
0.1196.37081850267860.156826274387774
0.1296.41877052886090.176312344675684
0.1396.47007312369930.200447166761612
0.1496.52566754264070.227207051087709
0.1596.58599419538710.253958353218733
0.1696.6509222165290.2781806941355
0.1796.71979125280770.297921858185562
0.1896.791546603250.311924203545388
0.1996.86493420932220.319672364390025
0.296.93871599126240.321931794882571
0.2197.01186774698790.320003818122767
0.2297.08372968008140.316270709818977
0.2397.15409106300980.31285378249963
0.2497.22320281033710.312303168355493
0.2597.29172265793390.316553095181752
0.2697.36060598333650.326964923387519
0.2797.43096066895260.343901652677305
0.2897.50388693852170.366440584882458
0.2997.5803231325220.393246082484234
0.397.66091629030960.422339001699473
0.3197.74593250109840.451122474737405
0.3297.83521661997140.477250470783459
0.3397.92820458965510.498575624299707
0.3498.02398493003810.513339229420043
0.3598.12139980061960.520749898549294
0.3698.21917130251480.520527566952633
0.3798.31603610677990.513221205799857
0.3898.41087145048680.499839848585159
0.3998.50279792093780.482190713515053
0.498.59124867738070.462254348975465
0.4198.67599996313220.44193637096619
0.4298.75716300406120.423209434697924
0.4398.83514190733580.40765292624306
0.4498.91056551298420.396403397406183
0.4598.98420318142810.390273508582108
0.4699.05687532791070.388819409484136
0.4799.12936933733850.39191921608863
0.4899.20237047631580.39841980972713
0.4999.27641563872180.407136869741743
0.599.35187522449570.416984640651281
0.5199.42896517895640.426924165128171
0.5299.50778734392890.436253679883833
0.5399.58839210574090.444939079761101
0.5499.67085337616640.453343444937698
0.5599.75534285861560.462295030414941
0.5699.84218901598790.473049962721516
0.5799.93190675077350.487024235105211
0.58100.0251868728790.505531413330066
0.59100.1228399385830.529204929874706
0.6100.2256965048130.557970461397779
0.61100.3344742674260.590981447068436
0.62100.449630507760.625902142469573
0.63100.5712240642610.660185775384265
0.64100.698813042130.69054908643186
0.65100.8314115280430.713507578418625
0.66100.9675204656320.726526003293444
0.67101.1052355617740.727440697628349
0.68101.2424208377230.715614361523398
0.69101.376923247140.691433796329231
0.7101.5067947947960.656765149339361
0.71101.6304861679360.614433186779429
0.72101.7469808656530.567862639372974
0.73101.8558501285620.520435316390419
0.74101.9572239297960.4754310390142
0.75102.0516883102830.435171434531705
0.76102.1401310456710.40085503388335
0.77102.2235638405950.372888131167749
0.78102.3029495468040.350506408362526
0.79102.3790585526770.332153278112942
0.8102.4523716776710.316074441127912
0.81102.5230396399190.300415366384487
0.82102.590902330460.283817305621024
0.83102.6555641905560.265145661655446
0.84102.7165137403630.2440829412664
0.85102.7732654911710.220922189314635
0.86102.8254935086250.196644008397905
0.87102.8731233649350.17260085858585
0.88102.9163598648680.150323503702345
0.89102.9556549674670.13073877057541
0.9102.9916578181230.114275432870639
0.91103.025218433010.10082784683355
0.92103.0575098453140.0903685270691736
0.93103.0902607869550.0839553205595
0.94103.1259397292240.0839369775644776
0.95103.1675410582710.0921778088461511
0.96103.2175351942890.106095500071163
0.97103.2757925354670.116156483012001
0.98103.3370576879460.109266209169456
0.99103.389816309330.0826678833450748

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.8559970032405 & 0.0714496968502652 \tabularnewline
0.02 & 95.9044174027055 & 0.106697171029355 \tabularnewline
0.03 & 95.9643916674405 & 0.121564921251185 \tabularnewline
0.04 & 96.0258843553467 & 0.122597617530855 \tabularnewline
0.05 & 96.0838296251764 & 0.122078113258828 \tabularnewline
0.06 & 96.1372588037116 & 0.124082001743301 \tabularnewline
0.07 & 96.1870038101014 & 0.127058169599248 \tabularnewline
0.08 & 96.2341853489318 & 0.130205160115329 \tabularnewline
0.09 & 96.2798172991933 & 0.134796270600679 \tabularnewline
0.1 & 96.324951410797 & 0.143203132509629 \tabularnewline
0.11 & 96.3708185026786 & 0.156826274387774 \tabularnewline
0.12 & 96.4187705288609 & 0.176312344675684 \tabularnewline
0.13 & 96.4700731236993 & 0.200447166761612 \tabularnewline
0.14 & 96.5256675426407 & 0.227207051087709 \tabularnewline
0.15 & 96.5859941953871 & 0.253958353218733 \tabularnewline
0.16 & 96.650922216529 & 0.2781806941355 \tabularnewline
0.17 & 96.7197912528077 & 0.297921858185562 \tabularnewline
0.18 & 96.79154660325 & 0.311924203545388 \tabularnewline
0.19 & 96.8649342093222 & 0.319672364390025 \tabularnewline
0.2 & 96.9387159912624 & 0.321931794882571 \tabularnewline
0.21 & 97.0118677469879 & 0.320003818122767 \tabularnewline
0.22 & 97.0837296800814 & 0.316270709818977 \tabularnewline
0.23 & 97.1540910630098 & 0.31285378249963 \tabularnewline
0.24 & 97.2232028103371 & 0.312303168355493 \tabularnewline
0.25 & 97.2917226579339 & 0.316553095181752 \tabularnewline
0.26 & 97.3606059833365 & 0.326964923387519 \tabularnewline
0.27 & 97.4309606689526 & 0.343901652677305 \tabularnewline
0.28 & 97.5038869385217 & 0.366440584882458 \tabularnewline
0.29 & 97.580323132522 & 0.393246082484234 \tabularnewline
0.3 & 97.6609162903096 & 0.422339001699473 \tabularnewline
0.31 & 97.7459325010984 & 0.451122474737405 \tabularnewline
0.32 & 97.8352166199714 & 0.477250470783459 \tabularnewline
0.33 & 97.9282045896551 & 0.498575624299707 \tabularnewline
0.34 & 98.0239849300381 & 0.513339229420043 \tabularnewline
0.35 & 98.1213998006196 & 0.520749898549294 \tabularnewline
0.36 & 98.2191713025148 & 0.520527566952633 \tabularnewline
0.37 & 98.3160361067799 & 0.513221205799857 \tabularnewline
0.38 & 98.4108714504868 & 0.499839848585159 \tabularnewline
0.39 & 98.5027979209378 & 0.482190713515053 \tabularnewline
0.4 & 98.5912486773807 & 0.462254348975465 \tabularnewline
0.41 & 98.6759999631322 & 0.44193637096619 \tabularnewline
0.42 & 98.7571630040612 & 0.423209434697924 \tabularnewline
0.43 & 98.8351419073358 & 0.40765292624306 \tabularnewline
0.44 & 98.9105655129842 & 0.396403397406183 \tabularnewline
0.45 & 98.9842031814281 & 0.390273508582108 \tabularnewline
0.46 & 99.0568753279107 & 0.388819409484136 \tabularnewline
0.47 & 99.1293693373385 & 0.39191921608863 \tabularnewline
0.48 & 99.2023704763158 & 0.39841980972713 \tabularnewline
0.49 & 99.2764156387218 & 0.407136869741743 \tabularnewline
0.5 & 99.3518752244957 & 0.416984640651281 \tabularnewline
0.51 & 99.4289651789564 & 0.426924165128171 \tabularnewline
0.52 & 99.5077873439289 & 0.436253679883833 \tabularnewline
0.53 & 99.5883921057409 & 0.444939079761101 \tabularnewline
0.54 & 99.6708533761664 & 0.453343444937698 \tabularnewline
0.55 & 99.7553428586156 & 0.462295030414941 \tabularnewline
0.56 & 99.8421890159879 & 0.473049962721516 \tabularnewline
0.57 & 99.9319067507735 & 0.487024235105211 \tabularnewline
0.58 & 100.025186872879 & 0.505531413330066 \tabularnewline
0.59 & 100.122839938583 & 0.529204929874706 \tabularnewline
0.6 & 100.225696504813 & 0.557970461397779 \tabularnewline
0.61 & 100.334474267426 & 0.590981447068436 \tabularnewline
0.62 & 100.44963050776 & 0.625902142469573 \tabularnewline
0.63 & 100.571224064261 & 0.660185775384265 \tabularnewline
0.64 & 100.69881304213 & 0.69054908643186 \tabularnewline
0.65 & 100.831411528043 & 0.713507578418625 \tabularnewline
0.66 & 100.967520465632 & 0.726526003293444 \tabularnewline
0.67 & 101.105235561774 & 0.727440697628349 \tabularnewline
0.68 & 101.242420837723 & 0.715614361523398 \tabularnewline
0.69 & 101.37692324714 & 0.691433796329231 \tabularnewline
0.7 & 101.506794794796 & 0.656765149339361 \tabularnewline
0.71 & 101.630486167936 & 0.614433186779429 \tabularnewline
0.72 & 101.746980865653 & 0.567862639372974 \tabularnewline
0.73 & 101.855850128562 & 0.520435316390419 \tabularnewline
0.74 & 101.957223929796 & 0.4754310390142 \tabularnewline
0.75 & 102.051688310283 & 0.435171434531705 \tabularnewline
0.76 & 102.140131045671 & 0.40085503388335 \tabularnewline
0.77 & 102.223563840595 & 0.372888131167749 \tabularnewline
0.78 & 102.302949546804 & 0.350506408362526 \tabularnewline
0.79 & 102.379058552677 & 0.332153278112942 \tabularnewline
0.8 & 102.452371677671 & 0.316074441127912 \tabularnewline
0.81 & 102.523039639919 & 0.300415366384487 \tabularnewline
0.82 & 102.59090233046 & 0.283817305621024 \tabularnewline
0.83 & 102.655564190556 & 0.265145661655446 \tabularnewline
0.84 & 102.716513740363 & 0.2440829412664 \tabularnewline
0.85 & 102.773265491171 & 0.220922189314635 \tabularnewline
0.86 & 102.825493508625 & 0.196644008397905 \tabularnewline
0.87 & 102.873123364935 & 0.17260085858585 \tabularnewline
0.88 & 102.916359864868 & 0.150323503702345 \tabularnewline
0.89 & 102.955654967467 & 0.13073877057541 \tabularnewline
0.9 & 102.991657818123 & 0.114275432870639 \tabularnewline
0.91 & 103.02521843301 & 0.10082784683355 \tabularnewline
0.92 & 103.057509845314 & 0.0903685270691736 \tabularnewline
0.93 & 103.090260786955 & 0.0839553205595 \tabularnewline
0.94 & 103.125939729224 & 0.0839369775644776 \tabularnewline
0.95 & 103.167541058271 & 0.0921778088461511 \tabularnewline
0.96 & 103.217535194289 & 0.106095500071163 \tabularnewline
0.97 & 103.275792535467 & 0.116156483012001 \tabularnewline
0.98 & 103.337057687946 & 0.109266209169456 \tabularnewline
0.99 & 103.38981630933 & 0.0826678833450748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]95.8559970032405[/C][C]0.0714496968502652[/C][/ROW]
[ROW][C]0.02[/C][C]95.9044174027055[/C][C]0.106697171029355[/C][/ROW]
[ROW][C]0.03[/C][C]95.9643916674405[/C][C]0.121564921251185[/C][/ROW]
[ROW][C]0.04[/C][C]96.0258843553467[/C][C]0.122597617530855[/C][/ROW]
[ROW][C]0.05[/C][C]96.0838296251764[/C][C]0.122078113258828[/C][/ROW]
[ROW][C]0.06[/C][C]96.1372588037116[/C][C]0.124082001743301[/C][/ROW]
[ROW][C]0.07[/C][C]96.1870038101014[/C][C]0.127058169599248[/C][/ROW]
[ROW][C]0.08[/C][C]96.2341853489318[/C][C]0.130205160115329[/C][/ROW]
[ROW][C]0.09[/C][C]96.2798172991933[/C][C]0.134796270600679[/C][/ROW]
[ROW][C]0.1[/C][C]96.324951410797[/C][C]0.143203132509629[/C][/ROW]
[ROW][C]0.11[/C][C]96.3708185026786[/C][C]0.156826274387774[/C][/ROW]
[ROW][C]0.12[/C][C]96.4187705288609[/C][C]0.176312344675684[/C][/ROW]
[ROW][C]0.13[/C][C]96.4700731236993[/C][C]0.200447166761612[/C][/ROW]
[ROW][C]0.14[/C][C]96.5256675426407[/C][C]0.227207051087709[/C][/ROW]
[ROW][C]0.15[/C][C]96.5859941953871[/C][C]0.253958353218733[/C][/ROW]
[ROW][C]0.16[/C][C]96.650922216529[/C][C]0.2781806941355[/C][/ROW]
[ROW][C]0.17[/C][C]96.7197912528077[/C][C]0.297921858185562[/C][/ROW]
[ROW][C]0.18[/C][C]96.79154660325[/C][C]0.311924203545388[/C][/ROW]
[ROW][C]0.19[/C][C]96.8649342093222[/C][C]0.319672364390025[/C][/ROW]
[ROW][C]0.2[/C][C]96.9387159912624[/C][C]0.321931794882571[/C][/ROW]
[ROW][C]0.21[/C][C]97.0118677469879[/C][C]0.320003818122767[/C][/ROW]
[ROW][C]0.22[/C][C]97.0837296800814[/C][C]0.316270709818977[/C][/ROW]
[ROW][C]0.23[/C][C]97.1540910630098[/C][C]0.31285378249963[/C][/ROW]
[ROW][C]0.24[/C][C]97.2232028103371[/C][C]0.312303168355493[/C][/ROW]
[ROW][C]0.25[/C][C]97.2917226579339[/C][C]0.316553095181752[/C][/ROW]
[ROW][C]0.26[/C][C]97.3606059833365[/C][C]0.326964923387519[/C][/ROW]
[ROW][C]0.27[/C][C]97.4309606689526[/C][C]0.343901652677305[/C][/ROW]
[ROW][C]0.28[/C][C]97.5038869385217[/C][C]0.366440584882458[/C][/ROW]
[ROW][C]0.29[/C][C]97.580323132522[/C][C]0.393246082484234[/C][/ROW]
[ROW][C]0.3[/C][C]97.6609162903096[/C][C]0.422339001699473[/C][/ROW]
[ROW][C]0.31[/C][C]97.7459325010984[/C][C]0.451122474737405[/C][/ROW]
[ROW][C]0.32[/C][C]97.8352166199714[/C][C]0.477250470783459[/C][/ROW]
[ROW][C]0.33[/C][C]97.9282045896551[/C][C]0.498575624299707[/C][/ROW]
[ROW][C]0.34[/C][C]98.0239849300381[/C][C]0.513339229420043[/C][/ROW]
[ROW][C]0.35[/C][C]98.1213998006196[/C][C]0.520749898549294[/C][/ROW]
[ROW][C]0.36[/C][C]98.2191713025148[/C][C]0.520527566952633[/C][/ROW]
[ROW][C]0.37[/C][C]98.3160361067799[/C][C]0.513221205799857[/C][/ROW]
[ROW][C]0.38[/C][C]98.4108714504868[/C][C]0.499839848585159[/C][/ROW]
[ROW][C]0.39[/C][C]98.5027979209378[/C][C]0.482190713515053[/C][/ROW]
[ROW][C]0.4[/C][C]98.5912486773807[/C][C]0.462254348975465[/C][/ROW]
[ROW][C]0.41[/C][C]98.6759999631322[/C][C]0.44193637096619[/C][/ROW]
[ROW][C]0.42[/C][C]98.7571630040612[/C][C]0.423209434697924[/C][/ROW]
[ROW][C]0.43[/C][C]98.8351419073358[/C][C]0.40765292624306[/C][/ROW]
[ROW][C]0.44[/C][C]98.9105655129842[/C][C]0.396403397406183[/C][/ROW]
[ROW][C]0.45[/C][C]98.9842031814281[/C][C]0.390273508582108[/C][/ROW]
[ROW][C]0.46[/C][C]99.0568753279107[/C][C]0.388819409484136[/C][/ROW]
[ROW][C]0.47[/C][C]99.1293693373385[/C][C]0.39191921608863[/C][/ROW]
[ROW][C]0.48[/C][C]99.2023704763158[/C][C]0.39841980972713[/C][/ROW]
[ROW][C]0.49[/C][C]99.2764156387218[/C][C]0.407136869741743[/C][/ROW]
[ROW][C]0.5[/C][C]99.3518752244957[/C][C]0.416984640651281[/C][/ROW]
[ROW][C]0.51[/C][C]99.4289651789564[/C][C]0.426924165128171[/C][/ROW]
[ROW][C]0.52[/C][C]99.5077873439289[/C][C]0.436253679883833[/C][/ROW]
[ROW][C]0.53[/C][C]99.5883921057409[/C][C]0.444939079761101[/C][/ROW]
[ROW][C]0.54[/C][C]99.6708533761664[/C][C]0.453343444937698[/C][/ROW]
[ROW][C]0.55[/C][C]99.7553428586156[/C][C]0.462295030414941[/C][/ROW]
[ROW][C]0.56[/C][C]99.8421890159879[/C][C]0.473049962721516[/C][/ROW]
[ROW][C]0.57[/C][C]99.9319067507735[/C][C]0.487024235105211[/C][/ROW]
[ROW][C]0.58[/C][C]100.025186872879[/C][C]0.505531413330066[/C][/ROW]
[ROW][C]0.59[/C][C]100.122839938583[/C][C]0.529204929874706[/C][/ROW]
[ROW][C]0.6[/C][C]100.225696504813[/C][C]0.557970461397779[/C][/ROW]
[ROW][C]0.61[/C][C]100.334474267426[/C][C]0.590981447068436[/C][/ROW]
[ROW][C]0.62[/C][C]100.44963050776[/C][C]0.625902142469573[/C][/ROW]
[ROW][C]0.63[/C][C]100.571224064261[/C][C]0.660185775384265[/C][/ROW]
[ROW][C]0.64[/C][C]100.69881304213[/C][C]0.69054908643186[/C][/ROW]
[ROW][C]0.65[/C][C]100.831411528043[/C][C]0.713507578418625[/C][/ROW]
[ROW][C]0.66[/C][C]100.967520465632[/C][C]0.726526003293444[/C][/ROW]
[ROW][C]0.67[/C][C]101.105235561774[/C][C]0.727440697628349[/C][/ROW]
[ROW][C]0.68[/C][C]101.242420837723[/C][C]0.715614361523398[/C][/ROW]
[ROW][C]0.69[/C][C]101.37692324714[/C][C]0.691433796329231[/C][/ROW]
[ROW][C]0.7[/C][C]101.506794794796[/C][C]0.656765149339361[/C][/ROW]
[ROW][C]0.71[/C][C]101.630486167936[/C][C]0.614433186779429[/C][/ROW]
[ROW][C]0.72[/C][C]101.746980865653[/C][C]0.567862639372974[/C][/ROW]
[ROW][C]0.73[/C][C]101.855850128562[/C][C]0.520435316390419[/C][/ROW]
[ROW][C]0.74[/C][C]101.957223929796[/C][C]0.4754310390142[/C][/ROW]
[ROW][C]0.75[/C][C]102.051688310283[/C][C]0.435171434531705[/C][/ROW]
[ROW][C]0.76[/C][C]102.140131045671[/C][C]0.40085503388335[/C][/ROW]
[ROW][C]0.77[/C][C]102.223563840595[/C][C]0.372888131167749[/C][/ROW]
[ROW][C]0.78[/C][C]102.302949546804[/C][C]0.350506408362526[/C][/ROW]
[ROW][C]0.79[/C][C]102.379058552677[/C][C]0.332153278112942[/C][/ROW]
[ROW][C]0.8[/C][C]102.452371677671[/C][C]0.316074441127912[/C][/ROW]
[ROW][C]0.81[/C][C]102.523039639919[/C][C]0.300415366384487[/C][/ROW]
[ROW][C]0.82[/C][C]102.59090233046[/C][C]0.283817305621024[/C][/ROW]
[ROW][C]0.83[/C][C]102.655564190556[/C][C]0.265145661655446[/C][/ROW]
[ROW][C]0.84[/C][C]102.716513740363[/C][C]0.2440829412664[/C][/ROW]
[ROW][C]0.85[/C][C]102.773265491171[/C][C]0.220922189314635[/C][/ROW]
[ROW][C]0.86[/C][C]102.825493508625[/C][C]0.196644008397905[/C][/ROW]
[ROW][C]0.87[/C][C]102.873123364935[/C][C]0.17260085858585[/C][/ROW]
[ROW][C]0.88[/C][C]102.916359864868[/C][C]0.150323503702345[/C][/ROW]
[ROW][C]0.89[/C][C]102.955654967467[/C][C]0.13073877057541[/C][/ROW]
[ROW][C]0.9[/C][C]102.991657818123[/C][C]0.114275432870639[/C][/ROW]
[ROW][C]0.91[/C][C]103.02521843301[/C][C]0.10082784683355[/C][/ROW]
[ROW][C]0.92[/C][C]103.057509845314[/C][C]0.0903685270691736[/C][/ROW]
[ROW][C]0.93[/C][C]103.090260786955[/C][C]0.0839553205595[/C][/ROW]
[ROW][C]0.94[/C][C]103.125939729224[/C][C]0.0839369775644776[/C][/ROW]
[ROW][C]0.95[/C][C]103.167541058271[/C][C]0.0921778088461511[/C][/ROW]
[ROW][C]0.96[/C][C]103.217535194289[/C][C]0.106095500071163[/C][/ROW]
[ROW][C]0.97[/C][C]103.275792535467[/C][C]0.116156483012001[/C][/ROW]
[ROW][C]0.98[/C][C]103.337057687946[/C][C]0.109266209169456[/C][/ROW]
[ROW][C]0.99[/C][C]103.38981630933[/C][C]0.0826678833450748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0195.85599700324050.0714496968502652
0.0295.90441740270550.106697171029355
0.0395.96439166744050.121564921251185
0.0496.02588435534670.122597617530855
0.0596.08382962517640.122078113258828
0.0696.13725880371160.124082001743301
0.0796.18700381010140.127058169599248
0.0896.23418534893180.130205160115329
0.0996.27981729919330.134796270600679
0.196.3249514107970.143203132509629
0.1196.37081850267860.156826274387774
0.1296.41877052886090.176312344675684
0.1396.47007312369930.200447166761612
0.1496.52566754264070.227207051087709
0.1596.58599419538710.253958353218733
0.1696.6509222165290.2781806941355
0.1796.71979125280770.297921858185562
0.1896.791546603250.311924203545388
0.1996.86493420932220.319672364390025
0.296.93871599126240.321931794882571
0.2197.01186774698790.320003818122767
0.2297.08372968008140.316270709818977
0.2397.15409106300980.31285378249963
0.2497.22320281033710.312303168355493
0.2597.29172265793390.316553095181752
0.2697.36060598333650.326964923387519
0.2797.43096066895260.343901652677305
0.2897.50388693852170.366440584882458
0.2997.5803231325220.393246082484234
0.397.66091629030960.422339001699473
0.3197.74593250109840.451122474737405
0.3297.83521661997140.477250470783459
0.3397.92820458965510.498575624299707
0.3498.02398493003810.513339229420043
0.3598.12139980061960.520749898549294
0.3698.21917130251480.520527566952633
0.3798.31603610677990.513221205799857
0.3898.41087145048680.499839848585159
0.3998.50279792093780.482190713515053
0.498.59124867738070.462254348975465
0.4198.67599996313220.44193637096619
0.4298.75716300406120.423209434697924
0.4398.83514190733580.40765292624306
0.4498.91056551298420.396403397406183
0.4598.98420318142810.390273508582108
0.4699.05687532791070.388819409484136
0.4799.12936933733850.39191921608863
0.4899.20237047631580.39841980972713
0.4999.27641563872180.407136869741743
0.599.35187522449570.416984640651281
0.5199.42896517895640.426924165128171
0.5299.50778734392890.436253679883833
0.5399.58839210574090.444939079761101
0.5499.67085337616640.453343444937698
0.5599.75534285861560.462295030414941
0.5699.84218901598790.473049962721516
0.5799.93190675077350.487024235105211
0.58100.0251868728790.505531413330066
0.59100.1228399385830.529204929874706
0.6100.2256965048130.557970461397779
0.61100.3344742674260.590981447068436
0.62100.449630507760.625902142469573
0.63100.5712240642610.660185775384265
0.64100.698813042130.69054908643186
0.65100.8314115280430.713507578418625
0.66100.9675204656320.726526003293444
0.67101.1052355617740.727440697628349
0.68101.2424208377230.715614361523398
0.69101.376923247140.691433796329231
0.7101.5067947947960.656765149339361
0.71101.6304861679360.614433186779429
0.72101.7469808656530.567862639372974
0.73101.8558501285620.520435316390419
0.74101.9572239297960.4754310390142
0.75102.0516883102830.435171434531705
0.76102.1401310456710.40085503388335
0.77102.2235638405950.372888131167749
0.78102.3029495468040.350506408362526
0.79102.3790585526770.332153278112942
0.8102.4523716776710.316074441127912
0.81102.5230396399190.300415366384487
0.82102.590902330460.283817305621024
0.83102.6555641905560.265145661655446
0.84102.7165137403630.2440829412664
0.85102.7732654911710.220922189314635
0.86102.8254935086250.196644008397905
0.87102.8731233649350.17260085858585
0.88102.9163598648680.150323503702345
0.89102.9556549674670.13073877057541
0.9102.9916578181230.114275432870639
0.91103.025218433010.10082784683355
0.92103.0575098453140.0903685270691736
0.93103.0902607869550.0839553205595
0.94103.1259397292240.0839369775644776
0.95103.1675410582710.0921778088461511
0.96103.2175351942890.106095500071163
0.97103.2757925354670.116156483012001
0.98103.3370576879460.109266209169456
0.99103.389816309330.0826678833450748


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')