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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 computationThu, 21 Feb 2013 07:51:44 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/21/t1361451150fkpivysvwrou5ae.htm/, Retrieved Sun, 05 May 2024 04:56:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206642, Retrieved Sun, 05 May 2024 04:56:50 +0000
QR Codes:

Original text written by user:Percentielen gem consumptieprijzen farma
IsPrivate?No (this computation is public)
User-defined keywordsPercentielen gem consumptieprijzen farma
Estimated Impact99

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] [] [2013-02-21 12:51:44] [0941a6a4eb2aa1312aa94e558e86fae5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
 105,71 
 105,82 
 105,82 
 105,72 
 105,76 
 105,80 
 105,09 
 105,06 
 105,16 
 105,20 
 105,21 
 105,23 
 105,19 
 105,16 
 104,88 
 104,52 
 104,09 
 104,35 
 104,48 
 104,47 
 104,55 
 104,59 
 104,59 
 104,72 
 104,65 
 104,72 
 104,92 
 105,05 
 103,74 
 103,81 
 103,79 
 104,28 
 103,80 
 103,80 
 104,02 
 104,02 
 104,91 
 104,97 
 103,86 
 104,17 
 103,21 
 103,21 
 101,91 
 101,84 
 101,91 
 101,79 
 101,79 
 101,79 
 102,09 
 102,18 
 102,20 
 101,97 
 102,05 
 102,04 
 101,78 
 101,79 
 101,80 
 101,83 
 101,83 
 101,88 
 101,90 
 101,91 
 101,17 
 101,17 
 101,23 
 101,26 
 101,49 
 101,51 
 101,61 
 101,39 
 101,43 
 101,44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206642&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206642&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206642&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.1767110446830.0198961799449114
0.02101.1936854064590.0464686379448123
0.03101.2210400053710.0703045286316169
0.04101.2561621506690.0881820502294059
0.05101.2956655102850.0994044527838149
0.06101.3366872201830.105007236854211
0.07101.3774219596320.107742205708251
0.08101.4171669662820.110900911433922
0.09101.456039456620.116581716511968
0.1101.4945009810150.124255579595112
0.11101.5328792764610.131568946228871
0.12101.5710662512590.136049793419408
0.13101.6084695122860.135734054944724
0.14101.6441774285080.130110795753034
0.15101.6772280275390.119894346285808
0.16101.7068653730580.106558966475084
0.17101.7327041862580.0920046743370904
0.18101.7547754670020.0782863025591256
0.19101.7734699643570.0668315373138329
0.2101.7894211477910.0585353453838124
0.21101.803373884630.0537135492363796
0.22101.8160750861340.0520259560848771
0.23101.8282062421870.0531577032351226
0.24101.8403619854920.0564169699685363
0.25101.8530676336150.0617188203143923
0.26101.8668230226160.0693533131811758
0.27101.8821587589040.0797410432784803
0.28101.8996923581810.0938242991890411
0.29101.9201738966190.112629254420701
0.3101.9445127784270.137117415817615
0.31101.9737788364920.168337448618346
0.32102.0091726337640.20679839604706
0.33102.051962180930.252715303246546
0.34102.10338687580.305894610456693
0.35102.1645344186860.364533268059015
0.36102.2362022628340.426951552671252
0.37102.3187606964790.490066487876913
0.38102.4120384064290.550494546203029
0.39102.5152518548750.604762764511432
0.4102.6269960613560.64901991287182
0.41102.7453064331460.680526372513676
0.42102.8677902800590.697029009962749
0.43102.9918146999960.69789052780062
0.44103.1147272134490.683445821942293
0.45103.2340792258690.655586684790019
0.46103.3478216002390.617114826702288
0.47103.4544465322930.571466046082996
0.48103.55305940510.522348549568554
0.49103.6433762207570.473494075918474
0.5103.7256540149080.427755690973764
0.51103.8005710524270.387397651939927
0.52103.8690790554550.353760241295648
0.53103.9322507424370.326915349766506
0.54103.9911430665250.306626058109239
0.55104.0466909414340.291401661601477
0.56104.09963942620.279798004552825
0.57104.1505156904110.270391466780034
0.58104.1996365996960.261929675511368
0.59104.2471439656910.253255791607496
0.6104.2930574819260.243986898684189
0.61104.3373349144630.234035141415014
0.62104.3799299035830.223387407747201
0.63104.4208394237760.2126272394614
0.64104.4601352571510.202410275828498
0.65104.497976518880.193189579738854
0.66104.5346031001690.185445082726033
0.67104.5703126038860.179629799126382
0.68104.6054256400910.17577310199879
0.69104.6402459078550.173607407682527
0.7104.6750220441230.172749981384535
0.71104.7099176188460.172549711117879
0.72104.7449939409110.172290481271115
0.73104.7802077914730.171485513495601
0.74104.8154233268970.169541845959896
0.75104.85043484980.166261841554827
0.76104.8849956068220.161671771379341
0.77104.918847760360.155675539667761
0.78104.9517504192440.148477301218383
0.79104.9835058980710.140523751041898
0.8105.0139884915380.131932523311904
0.81105.0431836782790.123284361785184
0.82105.0712467874790.115068170623765
0.83105.0985860994470.108188219081958
0.84105.1259633720910.10400376494949
0.85105.1545837728440.104575621359429
0.86105.1861206914060.112073234194791
0.87105.2226005208850.128081500441286
0.88105.2660785493620.152071187330465
0.89105.3180917408350.180778850706479
0.9105.3789839655730.208347631755736
0.91105.4473326830990.227379165464547
0.92105.5197845497350.231095111763251
0.93105.5915342426810.21580410797518
0.94105.6574160675810.183227593787347
0.95105.7132200107520.140196243754285
0.96105.7566327665630.0960171227251227
0.97105.787377425030.0582225553879021
0.98105.8066700919320.0297933577901102
0.99105.8166127520420.0103612002440245

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.176711044683 & 0.0198961799449114 \tabularnewline
0.02 & 101.193685406459 & 0.0464686379448123 \tabularnewline
0.03 & 101.221040005371 & 0.0703045286316169 \tabularnewline
0.04 & 101.256162150669 & 0.0881820502294059 \tabularnewline
0.05 & 101.295665510285 & 0.0994044527838149 \tabularnewline
0.06 & 101.336687220183 & 0.105007236854211 \tabularnewline
0.07 & 101.377421959632 & 0.107742205708251 \tabularnewline
0.08 & 101.417166966282 & 0.110900911433922 \tabularnewline
0.09 & 101.45603945662 & 0.116581716511968 \tabularnewline
0.1 & 101.494500981015 & 0.124255579595112 \tabularnewline
0.11 & 101.532879276461 & 0.131568946228871 \tabularnewline
0.12 & 101.571066251259 & 0.136049793419408 \tabularnewline
0.13 & 101.608469512286 & 0.135734054944724 \tabularnewline
0.14 & 101.644177428508 & 0.130110795753034 \tabularnewline
0.15 & 101.677228027539 & 0.119894346285808 \tabularnewline
0.16 & 101.706865373058 & 0.106558966475084 \tabularnewline
0.17 & 101.732704186258 & 0.0920046743370904 \tabularnewline
0.18 & 101.754775467002 & 0.0782863025591256 \tabularnewline
0.19 & 101.773469964357 & 0.0668315373138329 \tabularnewline
0.2 & 101.789421147791 & 0.0585353453838124 \tabularnewline
0.21 & 101.80337388463 & 0.0537135492363796 \tabularnewline
0.22 & 101.816075086134 & 0.0520259560848771 \tabularnewline
0.23 & 101.828206242187 & 0.0531577032351226 \tabularnewline
0.24 & 101.840361985492 & 0.0564169699685363 \tabularnewline
0.25 & 101.853067633615 & 0.0617188203143923 \tabularnewline
0.26 & 101.866823022616 & 0.0693533131811758 \tabularnewline
0.27 & 101.882158758904 & 0.0797410432784803 \tabularnewline
0.28 & 101.899692358181 & 0.0938242991890411 \tabularnewline
0.29 & 101.920173896619 & 0.112629254420701 \tabularnewline
0.3 & 101.944512778427 & 0.137117415817615 \tabularnewline
0.31 & 101.973778836492 & 0.168337448618346 \tabularnewline
0.32 & 102.009172633764 & 0.20679839604706 \tabularnewline
0.33 & 102.05196218093 & 0.252715303246546 \tabularnewline
0.34 & 102.1033868758 & 0.305894610456693 \tabularnewline
0.35 & 102.164534418686 & 0.364533268059015 \tabularnewline
0.36 & 102.236202262834 & 0.426951552671252 \tabularnewline
0.37 & 102.318760696479 & 0.490066487876913 \tabularnewline
0.38 & 102.412038406429 & 0.550494546203029 \tabularnewline
0.39 & 102.515251854875 & 0.604762764511432 \tabularnewline
0.4 & 102.626996061356 & 0.64901991287182 \tabularnewline
0.41 & 102.745306433146 & 0.680526372513676 \tabularnewline
0.42 & 102.867790280059 & 0.697029009962749 \tabularnewline
0.43 & 102.991814699996 & 0.69789052780062 \tabularnewline
0.44 & 103.114727213449 & 0.683445821942293 \tabularnewline
0.45 & 103.234079225869 & 0.655586684790019 \tabularnewline
0.46 & 103.347821600239 & 0.617114826702288 \tabularnewline
0.47 & 103.454446532293 & 0.571466046082996 \tabularnewline
0.48 & 103.5530594051 & 0.522348549568554 \tabularnewline
0.49 & 103.643376220757 & 0.473494075918474 \tabularnewline
0.5 & 103.725654014908 & 0.427755690973764 \tabularnewline
0.51 & 103.800571052427 & 0.387397651939927 \tabularnewline
0.52 & 103.869079055455 & 0.353760241295648 \tabularnewline
0.53 & 103.932250742437 & 0.326915349766506 \tabularnewline
0.54 & 103.991143066525 & 0.306626058109239 \tabularnewline
0.55 & 104.046690941434 & 0.291401661601477 \tabularnewline
0.56 & 104.0996394262 & 0.279798004552825 \tabularnewline
0.57 & 104.150515690411 & 0.270391466780034 \tabularnewline
0.58 & 104.199636599696 & 0.261929675511368 \tabularnewline
0.59 & 104.247143965691 & 0.253255791607496 \tabularnewline
0.6 & 104.293057481926 & 0.243986898684189 \tabularnewline
0.61 & 104.337334914463 & 0.234035141415014 \tabularnewline
0.62 & 104.379929903583 & 0.223387407747201 \tabularnewline
0.63 & 104.420839423776 & 0.2126272394614 \tabularnewline
0.64 & 104.460135257151 & 0.202410275828498 \tabularnewline
0.65 & 104.49797651888 & 0.193189579738854 \tabularnewline
0.66 & 104.534603100169 & 0.185445082726033 \tabularnewline
0.67 & 104.570312603886 & 0.179629799126382 \tabularnewline
0.68 & 104.605425640091 & 0.17577310199879 \tabularnewline
0.69 & 104.640245907855 & 0.173607407682527 \tabularnewline
0.7 & 104.675022044123 & 0.172749981384535 \tabularnewline
0.71 & 104.709917618846 & 0.172549711117879 \tabularnewline
0.72 & 104.744993940911 & 0.172290481271115 \tabularnewline
0.73 & 104.780207791473 & 0.171485513495601 \tabularnewline
0.74 & 104.815423326897 & 0.169541845959896 \tabularnewline
0.75 & 104.8504348498 & 0.166261841554827 \tabularnewline
0.76 & 104.884995606822 & 0.161671771379341 \tabularnewline
0.77 & 104.91884776036 & 0.155675539667761 \tabularnewline
0.78 & 104.951750419244 & 0.148477301218383 \tabularnewline
0.79 & 104.983505898071 & 0.140523751041898 \tabularnewline
0.8 & 105.013988491538 & 0.131932523311904 \tabularnewline
0.81 & 105.043183678279 & 0.123284361785184 \tabularnewline
0.82 & 105.071246787479 & 0.115068170623765 \tabularnewline
0.83 & 105.098586099447 & 0.108188219081958 \tabularnewline
0.84 & 105.125963372091 & 0.10400376494949 \tabularnewline
0.85 & 105.154583772844 & 0.104575621359429 \tabularnewline
0.86 & 105.186120691406 & 0.112073234194791 \tabularnewline
0.87 & 105.222600520885 & 0.128081500441286 \tabularnewline
0.88 & 105.266078549362 & 0.152071187330465 \tabularnewline
0.89 & 105.318091740835 & 0.180778850706479 \tabularnewline
0.9 & 105.378983965573 & 0.208347631755736 \tabularnewline
0.91 & 105.447332683099 & 0.227379165464547 \tabularnewline
0.92 & 105.519784549735 & 0.231095111763251 \tabularnewline
0.93 & 105.591534242681 & 0.21580410797518 \tabularnewline
0.94 & 105.657416067581 & 0.183227593787347 \tabularnewline
0.95 & 105.713220010752 & 0.140196243754285 \tabularnewline
0.96 & 105.756632766563 & 0.0960171227251227 \tabularnewline
0.97 & 105.78737742503 & 0.0582225553879021 \tabularnewline
0.98 & 105.806670091932 & 0.0297933577901102 \tabularnewline
0.99 & 105.816612752042 & 0.0103612002440245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206642&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]101.176711044683[/C][C]0.0198961799449114[/C][/ROW]
[ROW][C]0.02[/C][C]101.193685406459[/C][C]0.0464686379448123[/C][/ROW]
[ROW][C]0.03[/C][C]101.221040005371[/C][C]0.0703045286316169[/C][/ROW]
[ROW][C]0.04[/C][C]101.256162150669[/C][C]0.0881820502294059[/C][/ROW]
[ROW][C]0.05[/C][C]101.295665510285[/C][C]0.0994044527838149[/C][/ROW]
[ROW][C]0.06[/C][C]101.336687220183[/C][C]0.105007236854211[/C][/ROW]
[ROW][C]0.07[/C][C]101.377421959632[/C][C]0.107742205708251[/C][/ROW]
[ROW][C]0.08[/C][C]101.417166966282[/C][C]0.110900911433922[/C][/ROW]
[ROW][C]0.09[/C][C]101.45603945662[/C][C]0.116581716511968[/C][/ROW]
[ROW][C]0.1[/C][C]101.494500981015[/C][C]0.124255579595112[/C][/ROW]
[ROW][C]0.11[/C][C]101.532879276461[/C][C]0.131568946228871[/C][/ROW]
[ROW][C]0.12[/C][C]101.571066251259[/C][C]0.136049793419408[/C][/ROW]
[ROW][C]0.13[/C][C]101.608469512286[/C][C]0.135734054944724[/C][/ROW]
[ROW][C]0.14[/C][C]101.644177428508[/C][C]0.130110795753034[/C][/ROW]
[ROW][C]0.15[/C][C]101.677228027539[/C][C]0.119894346285808[/C][/ROW]
[ROW][C]0.16[/C][C]101.706865373058[/C][C]0.106558966475084[/C][/ROW]
[ROW][C]0.17[/C][C]101.732704186258[/C][C]0.0920046743370904[/C][/ROW]
[ROW][C]0.18[/C][C]101.754775467002[/C][C]0.0782863025591256[/C][/ROW]
[ROW][C]0.19[/C][C]101.773469964357[/C][C]0.0668315373138329[/C][/ROW]
[ROW][C]0.2[/C][C]101.789421147791[/C][C]0.0585353453838124[/C][/ROW]
[ROW][C]0.21[/C][C]101.80337388463[/C][C]0.0537135492363796[/C][/ROW]
[ROW][C]0.22[/C][C]101.816075086134[/C][C]0.0520259560848771[/C][/ROW]
[ROW][C]0.23[/C][C]101.828206242187[/C][C]0.0531577032351226[/C][/ROW]
[ROW][C]0.24[/C][C]101.840361985492[/C][C]0.0564169699685363[/C][/ROW]
[ROW][C]0.25[/C][C]101.853067633615[/C][C]0.0617188203143923[/C][/ROW]
[ROW][C]0.26[/C][C]101.866823022616[/C][C]0.0693533131811758[/C][/ROW]
[ROW][C]0.27[/C][C]101.882158758904[/C][C]0.0797410432784803[/C][/ROW]
[ROW][C]0.28[/C][C]101.899692358181[/C][C]0.0938242991890411[/C][/ROW]
[ROW][C]0.29[/C][C]101.920173896619[/C][C]0.112629254420701[/C][/ROW]
[ROW][C]0.3[/C][C]101.944512778427[/C][C]0.137117415817615[/C][/ROW]
[ROW][C]0.31[/C][C]101.973778836492[/C][C]0.168337448618346[/C][/ROW]
[ROW][C]0.32[/C][C]102.009172633764[/C][C]0.20679839604706[/C][/ROW]
[ROW][C]0.33[/C][C]102.05196218093[/C][C]0.252715303246546[/C][/ROW]
[ROW][C]0.34[/C][C]102.1033868758[/C][C]0.305894610456693[/C][/ROW]
[ROW][C]0.35[/C][C]102.164534418686[/C][C]0.364533268059015[/C][/ROW]
[ROW][C]0.36[/C][C]102.236202262834[/C][C]0.426951552671252[/C][/ROW]
[ROW][C]0.37[/C][C]102.318760696479[/C][C]0.490066487876913[/C][/ROW]
[ROW][C]0.38[/C][C]102.412038406429[/C][C]0.550494546203029[/C][/ROW]
[ROW][C]0.39[/C][C]102.515251854875[/C][C]0.604762764511432[/C][/ROW]
[ROW][C]0.4[/C][C]102.626996061356[/C][C]0.64901991287182[/C][/ROW]
[ROW][C]0.41[/C][C]102.745306433146[/C][C]0.680526372513676[/C][/ROW]
[ROW][C]0.42[/C][C]102.867790280059[/C][C]0.697029009962749[/C][/ROW]
[ROW][C]0.43[/C][C]102.991814699996[/C][C]0.69789052780062[/C][/ROW]
[ROW][C]0.44[/C][C]103.114727213449[/C][C]0.683445821942293[/C][/ROW]
[ROW][C]0.45[/C][C]103.234079225869[/C][C]0.655586684790019[/C][/ROW]
[ROW][C]0.46[/C][C]103.347821600239[/C][C]0.617114826702288[/C][/ROW]
[ROW][C]0.47[/C][C]103.454446532293[/C][C]0.571466046082996[/C][/ROW]
[ROW][C]0.48[/C][C]103.5530594051[/C][C]0.522348549568554[/C][/ROW]
[ROW][C]0.49[/C][C]103.643376220757[/C][C]0.473494075918474[/C][/ROW]
[ROW][C]0.5[/C][C]103.725654014908[/C][C]0.427755690973764[/C][/ROW]
[ROW][C]0.51[/C][C]103.800571052427[/C][C]0.387397651939927[/C][/ROW]
[ROW][C]0.52[/C][C]103.869079055455[/C][C]0.353760241295648[/C][/ROW]
[ROW][C]0.53[/C][C]103.932250742437[/C][C]0.326915349766506[/C][/ROW]
[ROW][C]0.54[/C][C]103.991143066525[/C][C]0.306626058109239[/C][/ROW]
[ROW][C]0.55[/C][C]104.046690941434[/C][C]0.291401661601477[/C][/ROW]
[ROW][C]0.56[/C][C]104.0996394262[/C][C]0.279798004552825[/C][/ROW]
[ROW][C]0.57[/C][C]104.150515690411[/C][C]0.270391466780034[/C][/ROW]
[ROW][C]0.58[/C][C]104.199636599696[/C][C]0.261929675511368[/C][/ROW]
[ROW][C]0.59[/C][C]104.247143965691[/C][C]0.253255791607496[/C][/ROW]
[ROW][C]0.6[/C][C]104.293057481926[/C][C]0.243986898684189[/C][/ROW]
[ROW][C]0.61[/C][C]104.337334914463[/C][C]0.234035141415014[/C][/ROW]
[ROW][C]0.62[/C][C]104.379929903583[/C][C]0.223387407747201[/C][/ROW]
[ROW][C]0.63[/C][C]104.420839423776[/C][C]0.2126272394614[/C][/ROW]
[ROW][C]0.64[/C][C]104.460135257151[/C][C]0.202410275828498[/C][/ROW]
[ROW][C]0.65[/C][C]104.49797651888[/C][C]0.193189579738854[/C][/ROW]
[ROW][C]0.66[/C][C]104.534603100169[/C][C]0.185445082726033[/C][/ROW]
[ROW][C]0.67[/C][C]104.570312603886[/C][C]0.179629799126382[/C][/ROW]
[ROW][C]0.68[/C][C]104.605425640091[/C][C]0.17577310199879[/C][/ROW]
[ROW][C]0.69[/C][C]104.640245907855[/C][C]0.173607407682527[/C][/ROW]
[ROW][C]0.7[/C][C]104.675022044123[/C][C]0.172749981384535[/C][/ROW]
[ROW][C]0.71[/C][C]104.709917618846[/C][C]0.172549711117879[/C][/ROW]
[ROW][C]0.72[/C][C]104.744993940911[/C][C]0.172290481271115[/C][/ROW]
[ROW][C]0.73[/C][C]104.780207791473[/C][C]0.171485513495601[/C][/ROW]
[ROW][C]0.74[/C][C]104.815423326897[/C][C]0.169541845959896[/C][/ROW]
[ROW][C]0.75[/C][C]104.8504348498[/C][C]0.166261841554827[/C][/ROW]
[ROW][C]0.76[/C][C]104.884995606822[/C][C]0.161671771379341[/C][/ROW]
[ROW][C]0.77[/C][C]104.91884776036[/C][C]0.155675539667761[/C][/ROW]
[ROW][C]0.78[/C][C]104.951750419244[/C][C]0.148477301218383[/C][/ROW]
[ROW][C]0.79[/C][C]104.983505898071[/C][C]0.140523751041898[/C][/ROW]
[ROW][C]0.8[/C][C]105.013988491538[/C][C]0.131932523311904[/C][/ROW]
[ROW][C]0.81[/C][C]105.043183678279[/C][C]0.123284361785184[/C][/ROW]
[ROW][C]0.82[/C][C]105.071246787479[/C][C]0.115068170623765[/C][/ROW]
[ROW][C]0.83[/C][C]105.098586099447[/C][C]0.108188219081958[/C][/ROW]
[ROW][C]0.84[/C][C]105.125963372091[/C][C]0.10400376494949[/C][/ROW]
[ROW][C]0.85[/C][C]105.154583772844[/C][C]0.104575621359429[/C][/ROW]
[ROW][C]0.86[/C][C]105.186120691406[/C][C]0.112073234194791[/C][/ROW]
[ROW][C]0.87[/C][C]105.222600520885[/C][C]0.128081500441286[/C][/ROW]
[ROW][C]0.88[/C][C]105.266078549362[/C][C]0.152071187330465[/C][/ROW]
[ROW][C]0.89[/C][C]105.318091740835[/C][C]0.180778850706479[/C][/ROW]
[ROW][C]0.9[/C][C]105.378983965573[/C][C]0.208347631755736[/C][/ROW]
[ROW][C]0.91[/C][C]105.447332683099[/C][C]0.227379165464547[/C][/ROW]
[ROW][C]0.92[/C][C]105.519784549735[/C][C]0.231095111763251[/C][/ROW]
[ROW][C]0.93[/C][C]105.591534242681[/C][C]0.21580410797518[/C][/ROW]
[ROW][C]0.94[/C][C]105.657416067581[/C][C]0.183227593787347[/C][/ROW]
[ROW][C]0.95[/C][C]105.713220010752[/C][C]0.140196243754285[/C][/ROW]
[ROW][C]0.96[/C][C]105.756632766563[/C][C]0.0960171227251227[/C][/ROW]
[ROW][C]0.97[/C][C]105.78737742503[/C][C]0.0582225553879021[/C][/ROW]
[ROW][C]0.98[/C][C]105.806670091932[/C][C]0.0297933577901102[/C][/ROW]
[ROW][C]0.99[/C][C]105.816612752042[/C][C]0.0103612002440245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206642&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206642&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
0.01101.1767110446830.0198961799449114
0.02101.1936854064590.0464686379448123
0.03101.2210400053710.0703045286316169
0.04101.2561621506690.0881820502294059
0.05101.2956655102850.0994044527838149
0.06101.3366872201830.105007236854211
0.07101.3774219596320.107742205708251
0.08101.4171669662820.110900911433922
0.09101.456039456620.116581716511968
0.1101.4945009810150.124255579595112
0.11101.5328792764610.131568946228871
0.12101.5710662512590.136049793419408
0.13101.6084695122860.135734054944724
0.14101.6441774285080.130110795753034
0.15101.6772280275390.119894346285808
0.16101.7068653730580.106558966475084
0.17101.7327041862580.0920046743370904
0.18101.7547754670020.0782863025591256
0.19101.7734699643570.0668315373138329
0.2101.7894211477910.0585353453838124
0.21101.803373884630.0537135492363796
0.22101.8160750861340.0520259560848771
0.23101.8282062421870.0531577032351226
0.24101.8403619854920.0564169699685363
0.25101.8530676336150.0617188203143923
0.26101.8668230226160.0693533131811758
0.27101.8821587589040.0797410432784803
0.28101.8996923581810.0938242991890411
0.29101.9201738966190.112629254420701
0.3101.9445127784270.137117415817615
0.31101.9737788364920.168337448618346
0.32102.0091726337640.20679839604706
0.33102.051962180930.252715303246546
0.34102.10338687580.305894610456693
0.35102.1645344186860.364533268059015
0.36102.2362022628340.426951552671252
0.37102.3187606964790.490066487876913
0.38102.4120384064290.550494546203029
0.39102.5152518548750.604762764511432
0.4102.6269960613560.64901991287182
0.41102.7453064331460.680526372513676
0.42102.8677902800590.697029009962749
0.43102.9918146999960.69789052780062
0.44103.1147272134490.683445821942293
0.45103.2340792258690.655586684790019
0.46103.3478216002390.617114826702288
0.47103.4544465322930.571466046082996
0.48103.55305940510.522348549568554
0.49103.6433762207570.473494075918474
0.5103.7256540149080.427755690973764
0.51103.8005710524270.387397651939927
0.52103.8690790554550.353760241295648
0.53103.9322507424370.326915349766506
0.54103.9911430665250.306626058109239
0.55104.0466909414340.291401661601477
0.56104.09963942620.279798004552825
0.57104.1505156904110.270391466780034
0.58104.1996365996960.261929675511368
0.59104.2471439656910.253255791607496
0.6104.2930574819260.243986898684189
0.61104.3373349144630.234035141415014
0.62104.3799299035830.223387407747201
0.63104.4208394237760.2126272394614
0.64104.4601352571510.202410275828498
0.65104.497976518880.193189579738854
0.66104.5346031001690.185445082726033
0.67104.5703126038860.179629799126382
0.68104.6054256400910.17577310199879
0.69104.6402459078550.173607407682527
0.7104.6750220441230.172749981384535
0.71104.7099176188460.172549711117879
0.72104.7449939409110.172290481271115
0.73104.7802077914730.171485513495601
0.74104.8154233268970.169541845959896
0.75104.85043484980.166261841554827
0.76104.8849956068220.161671771379341
0.77104.918847760360.155675539667761
0.78104.9517504192440.148477301218383
0.79104.9835058980710.140523751041898
0.8105.0139884915380.131932523311904
0.81105.0431836782790.123284361785184
0.82105.0712467874790.115068170623765
0.83105.0985860994470.108188219081958
0.84105.1259633720910.10400376494949
0.85105.1545837728440.104575621359429
0.86105.1861206914060.112073234194791
0.87105.2226005208850.128081500441286
0.88105.2660785493620.152071187330465
0.89105.3180917408350.180778850706479
0.9105.3789839655730.208347631755736
0.91105.4473326830990.227379165464547
0.92105.5197845497350.231095111763251
0.93105.5915342426810.21580410797518
0.94105.6574160675810.183227593787347
0.95105.7132200107520.140196243754285
0.96105.7566327665630.0960171227251227
0.97105.787377425030.0582225553879021
0.98105.8066700919320.0297933577901102
0.99105.8166127520420.0103612002440245


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')