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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 10:40:44 -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/t136146128968hxlfh8wz3isbv.htm/, Retrieved Thu, 02 May 2024 23:27:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206668, Retrieved Thu, 02 May 2024 23:27:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [gemiddelde consum...] [2013-01-31 18:05:59] [c392ccc27e03181a0e0f6126f48d1b9a]
- RMPD    [Harrell-Davis Quantiles] [Harel davies deci...] [2013-02-21 15:40:44] [f2eb9e6f8a572d38d7977956fe5c285e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
67.66
68
68.02
68.11
68.41
68.4
68.4
68.55
68.54
68.99
68.97
68.98
68.98
68.94
69.21
69.21
69.67
69.66
69.66
69.66
69.77
70.32
70.34
70.38
70.38
70.29
70.42
70.29
70.59
70.64
70.64
70.68
70.78
70.9
71.04
71.15
71.15
71.15
71.07
71.17
71.24
71.23
71.23
71.23
71.24
71.28
71.52
71.52
71.52
71.6
71.61
71.78
71.66
71.86
71.86
71.82
71.8
72.22
72.51
72.56
72.56
72.78
72.88
73.05
73.02
73.08
73.08
73.24
73.82
74
74.37
74.38

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206668&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206668&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.75098541502570.266080425674731
0.0267.87474260667050.192839899898986
0.0367.98962288906510.163613179024022
0.0468.08669471770390.172380135338364
0.0568.17216730022860.187472577003953
0.0668.25180540208590.195339609125867
0.0768.32782292161010.198363797317801
0.0868.40097194039570.203506091027933
0.0968.47215592492320.214101852656003
0.168.54251812176820.228379210760868
0.1168.6128951862450.242030368710428
0.1268.68347227054380.251784026798822
0.1368.75388956190420.256771789760669
0.1468.82363660447490.258675801980429
0.1568.89245570999350.26061642632361
0.1668.96055709387060.26574688516409
0.1769.02859257941850.275920656109739
0.1869.09745109688410.291009627526418
0.1969.1679910976250.309400734571096
0.269.24081607874090.328803907235106
0.2169.31615423804240.346994096355321
0.2269.39385045085740.362612406838654
0.2369.47343973049710.374668846813388
0.2469.5542556008150.382856566779929
0.2569.63553258618460.387311624345754
0.2669.7164804067870.388023626412001
0.2769.79632770308060.385059516465499
0.2869.87434694822550.37835407388382
0.2969.94987613523970.368003671769495
0.370.02234806402480.354243098039739
0.3170.09132884792990.337955126473182
0.3270.15655853511390.320025028345165
0.3370.21798209088410.301872087328875
0.3470.27575964816380.284850671125986
0.3570.33024986989790.270165577892293
0.3670.38196708230890.258902603178412
0.3770.43151895973470.251189893438186
0.3870.47953518466790.247131878491118
0.3970.5265981050690.246078333208252
0.470.57318450145630.247155991792536
0.4170.61962431463420.249472434355639
0.4270.66607877608230.251879513770585
0.4370.71253765713210.253369211769123
0.4470.75883360602670.253310040046639
0.4570.80467062493290.251038679853136
0.4670.84966329095080.246063123883875
0.4770.89338301591050.238311251064569
0.4870.93540732162090.227976158497555
0.4970.97536783744710.215460981686128
0.571.01299268486160.201409267454073
0.5171.04813927491750.186774477879452
0.5271.08081438117510.172273461603937
0.5371.11117959464340.158944548036003
0.5471.13954174515710.147713508406222
0.5571.16632937903790.139310197084283
0.5671.19205774653260.134190178831637
0.5771.21728587331250.132501185084028
0.5871.24257011985520.134309407280979
0.5971.26841913101680.138845486084094
0.671.29525517701840.145459197682745
0.6171.32338648953170.153259581952485
0.6271.35299422413910.16136706505888
0.6371.38413614482330.169088566293259
0.6471.41676718221790.175894211736466
0.6571.45077495541290.181382488016249
0.6671.48602650856830.185642670602515
0.6771.52242115843930.188956886247336
0.6871.55994354253130.19198851743036
0.6971.59871055417090.195430320069624
0.771.63900561672050.200345567407206
0.7171.68129359535390.207639650204088
0.7271.72620985204830.218372835728834
0.7371.77451822299650.233063881685606
0.7471.82703592013210.251890971896747
0.7571.88452904338570.274120270670152
0.7671.94759003593890.298676807373359
0.7772.01651612846860.323400220972092
0.7872.09121260108060.346109539328454
0.7972.17114355188650.364551664767554
0.872.25534448807010.376637793654446
0.8172.34249729465250.381165028725492
0.8272.43105427755180.377649119426527
0.8372.51939112787730.366578510148576
0.8472.60597428166230.348834576062872
0.8572.68954592417190.325967223052635
0.8672.76935073223160.29989278145713
0.8772.84543487105150.273199441174183
0.8872.91901923903820.249676139611302
0.8972.99287347272260.235006992196975
0.973.07150824656210.236309727674967
0.9173.16091531111640.259082673757939
0.9273.26760730166020.302213953024413
0.9373.39691324209840.356033995444437
0.9473.55081973361280.40459970566727
0.9573.72589094257250.430529644031163
0.9673.91177000649030.419955747889588
0.9774.09078153578520.364169198152089
0.9874.2400126862930.259392117046276
0.9974.33850466142450.120552610324233

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.7509854150257 & 0.266080425674731 \tabularnewline
0.02 & 67.8747426066705 & 0.192839899898986 \tabularnewline
0.03 & 67.9896228890651 & 0.163613179024022 \tabularnewline
0.04 & 68.0866947177039 & 0.172380135338364 \tabularnewline
0.05 & 68.1721673002286 & 0.187472577003953 \tabularnewline
0.06 & 68.2518054020859 & 0.195339609125867 \tabularnewline
0.07 & 68.3278229216101 & 0.198363797317801 \tabularnewline
0.08 & 68.4009719403957 & 0.203506091027933 \tabularnewline
0.09 & 68.4721559249232 & 0.214101852656003 \tabularnewline
0.1 & 68.5425181217682 & 0.228379210760868 \tabularnewline
0.11 & 68.612895186245 & 0.242030368710428 \tabularnewline
0.12 & 68.6834722705438 & 0.251784026798822 \tabularnewline
0.13 & 68.7538895619042 & 0.256771789760669 \tabularnewline
0.14 & 68.8236366044749 & 0.258675801980429 \tabularnewline
0.15 & 68.8924557099935 & 0.26061642632361 \tabularnewline
0.16 & 68.9605570938706 & 0.26574688516409 \tabularnewline
0.17 & 69.0285925794185 & 0.275920656109739 \tabularnewline
0.18 & 69.0974510968841 & 0.291009627526418 \tabularnewline
0.19 & 69.167991097625 & 0.309400734571096 \tabularnewline
0.2 & 69.2408160787409 & 0.328803907235106 \tabularnewline
0.21 & 69.3161542380424 & 0.346994096355321 \tabularnewline
0.22 & 69.3938504508574 & 0.362612406838654 \tabularnewline
0.23 & 69.4734397304971 & 0.374668846813388 \tabularnewline
0.24 & 69.554255600815 & 0.382856566779929 \tabularnewline
0.25 & 69.6355325861846 & 0.387311624345754 \tabularnewline
0.26 & 69.716480406787 & 0.388023626412001 \tabularnewline
0.27 & 69.7963277030806 & 0.385059516465499 \tabularnewline
0.28 & 69.8743469482255 & 0.37835407388382 \tabularnewline
0.29 & 69.9498761352397 & 0.368003671769495 \tabularnewline
0.3 & 70.0223480640248 & 0.354243098039739 \tabularnewline
0.31 & 70.0913288479299 & 0.337955126473182 \tabularnewline
0.32 & 70.1565585351139 & 0.320025028345165 \tabularnewline
0.33 & 70.2179820908841 & 0.301872087328875 \tabularnewline
0.34 & 70.2757596481638 & 0.284850671125986 \tabularnewline
0.35 & 70.3302498698979 & 0.270165577892293 \tabularnewline
0.36 & 70.3819670823089 & 0.258902603178412 \tabularnewline
0.37 & 70.4315189597347 & 0.251189893438186 \tabularnewline
0.38 & 70.4795351846679 & 0.247131878491118 \tabularnewline
0.39 & 70.526598105069 & 0.246078333208252 \tabularnewline
0.4 & 70.5731845014563 & 0.247155991792536 \tabularnewline
0.41 & 70.6196243146342 & 0.249472434355639 \tabularnewline
0.42 & 70.6660787760823 & 0.251879513770585 \tabularnewline
0.43 & 70.7125376571321 & 0.253369211769123 \tabularnewline
0.44 & 70.7588336060267 & 0.253310040046639 \tabularnewline
0.45 & 70.8046706249329 & 0.251038679853136 \tabularnewline
0.46 & 70.8496632909508 & 0.246063123883875 \tabularnewline
0.47 & 70.8933830159105 & 0.238311251064569 \tabularnewline
0.48 & 70.9354073216209 & 0.227976158497555 \tabularnewline
0.49 & 70.9753678374471 & 0.215460981686128 \tabularnewline
0.5 & 71.0129926848616 & 0.201409267454073 \tabularnewline
0.51 & 71.0481392749175 & 0.186774477879452 \tabularnewline
0.52 & 71.0808143811751 & 0.172273461603937 \tabularnewline
0.53 & 71.1111795946434 & 0.158944548036003 \tabularnewline
0.54 & 71.1395417451571 & 0.147713508406222 \tabularnewline
0.55 & 71.1663293790379 & 0.139310197084283 \tabularnewline
0.56 & 71.1920577465326 & 0.134190178831637 \tabularnewline
0.57 & 71.2172858733125 & 0.132501185084028 \tabularnewline
0.58 & 71.2425701198552 & 0.134309407280979 \tabularnewline
0.59 & 71.2684191310168 & 0.138845486084094 \tabularnewline
0.6 & 71.2952551770184 & 0.145459197682745 \tabularnewline
0.61 & 71.3233864895317 & 0.153259581952485 \tabularnewline
0.62 & 71.3529942241391 & 0.16136706505888 \tabularnewline
0.63 & 71.3841361448233 & 0.169088566293259 \tabularnewline
0.64 & 71.4167671822179 & 0.175894211736466 \tabularnewline
0.65 & 71.4507749554129 & 0.181382488016249 \tabularnewline
0.66 & 71.4860265085683 & 0.185642670602515 \tabularnewline
0.67 & 71.5224211584393 & 0.188956886247336 \tabularnewline
0.68 & 71.5599435425313 & 0.19198851743036 \tabularnewline
0.69 & 71.5987105541709 & 0.195430320069624 \tabularnewline
0.7 & 71.6390056167205 & 0.200345567407206 \tabularnewline
0.71 & 71.6812935953539 & 0.207639650204088 \tabularnewline
0.72 & 71.7262098520483 & 0.218372835728834 \tabularnewline
0.73 & 71.7745182229965 & 0.233063881685606 \tabularnewline
0.74 & 71.8270359201321 & 0.251890971896747 \tabularnewline
0.75 & 71.8845290433857 & 0.274120270670152 \tabularnewline
0.76 & 71.9475900359389 & 0.298676807373359 \tabularnewline
0.77 & 72.0165161284686 & 0.323400220972092 \tabularnewline
0.78 & 72.0912126010806 & 0.346109539328454 \tabularnewline
0.79 & 72.1711435518865 & 0.364551664767554 \tabularnewline
0.8 & 72.2553444880701 & 0.376637793654446 \tabularnewline
0.81 & 72.3424972946525 & 0.381165028725492 \tabularnewline
0.82 & 72.4310542775518 & 0.377649119426527 \tabularnewline
0.83 & 72.5193911278773 & 0.366578510148576 \tabularnewline
0.84 & 72.6059742816623 & 0.348834576062872 \tabularnewline
0.85 & 72.6895459241719 & 0.325967223052635 \tabularnewline
0.86 & 72.7693507322316 & 0.29989278145713 \tabularnewline
0.87 & 72.8454348710515 & 0.273199441174183 \tabularnewline
0.88 & 72.9190192390382 & 0.249676139611302 \tabularnewline
0.89 & 72.9928734727226 & 0.235006992196975 \tabularnewline
0.9 & 73.0715082465621 & 0.236309727674967 \tabularnewline
0.91 & 73.1609153111164 & 0.259082673757939 \tabularnewline
0.92 & 73.2676073016602 & 0.302213953024413 \tabularnewline
0.93 & 73.3969132420984 & 0.356033995444437 \tabularnewline
0.94 & 73.5508197336128 & 0.40459970566727 \tabularnewline
0.95 & 73.7258909425725 & 0.430529644031163 \tabularnewline
0.96 & 73.9117700064903 & 0.419955747889588 \tabularnewline
0.97 & 74.0907815357852 & 0.364169198152089 \tabularnewline
0.98 & 74.240012686293 & 0.259392117046276 \tabularnewline
0.99 & 74.3385046614245 & 0.120552610324233 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206668&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]67.7509854150257[/C][C]0.266080425674731[/C][/ROW]
[ROW][C]0.02[/C][C]67.8747426066705[/C][C]0.192839899898986[/C][/ROW]
[ROW][C]0.03[/C][C]67.9896228890651[/C][C]0.163613179024022[/C][/ROW]
[ROW][C]0.04[/C][C]68.0866947177039[/C][C]0.172380135338364[/C][/ROW]
[ROW][C]0.05[/C][C]68.1721673002286[/C][C]0.187472577003953[/C][/ROW]
[ROW][C]0.06[/C][C]68.2518054020859[/C][C]0.195339609125867[/C][/ROW]
[ROW][C]0.07[/C][C]68.3278229216101[/C][C]0.198363797317801[/C][/ROW]
[ROW][C]0.08[/C][C]68.4009719403957[/C][C]0.203506091027933[/C][/ROW]
[ROW][C]0.09[/C][C]68.4721559249232[/C][C]0.214101852656003[/C][/ROW]
[ROW][C]0.1[/C][C]68.5425181217682[/C][C]0.228379210760868[/C][/ROW]
[ROW][C]0.11[/C][C]68.612895186245[/C][C]0.242030368710428[/C][/ROW]
[ROW][C]0.12[/C][C]68.6834722705438[/C][C]0.251784026798822[/C][/ROW]
[ROW][C]0.13[/C][C]68.7538895619042[/C][C]0.256771789760669[/C][/ROW]
[ROW][C]0.14[/C][C]68.8236366044749[/C][C]0.258675801980429[/C][/ROW]
[ROW][C]0.15[/C][C]68.8924557099935[/C][C]0.26061642632361[/C][/ROW]
[ROW][C]0.16[/C][C]68.9605570938706[/C][C]0.26574688516409[/C][/ROW]
[ROW][C]0.17[/C][C]69.0285925794185[/C][C]0.275920656109739[/C][/ROW]
[ROW][C]0.18[/C][C]69.0974510968841[/C][C]0.291009627526418[/C][/ROW]
[ROW][C]0.19[/C][C]69.167991097625[/C][C]0.309400734571096[/C][/ROW]
[ROW][C]0.2[/C][C]69.2408160787409[/C][C]0.328803907235106[/C][/ROW]
[ROW][C]0.21[/C][C]69.3161542380424[/C][C]0.346994096355321[/C][/ROW]
[ROW][C]0.22[/C][C]69.3938504508574[/C][C]0.362612406838654[/C][/ROW]
[ROW][C]0.23[/C][C]69.4734397304971[/C][C]0.374668846813388[/C][/ROW]
[ROW][C]0.24[/C][C]69.554255600815[/C][C]0.382856566779929[/C][/ROW]
[ROW][C]0.25[/C][C]69.6355325861846[/C][C]0.387311624345754[/C][/ROW]
[ROW][C]0.26[/C][C]69.716480406787[/C][C]0.388023626412001[/C][/ROW]
[ROW][C]0.27[/C][C]69.7963277030806[/C][C]0.385059516465499[/C][/ROW]
[ROW][C]0.28[/C][C]69.8743469482255[/C][C]0.37835407388382[/C][/ROW]
[ROW][C]0.29[/C][C]69.9498761352397[/C][C]0.368003671769495[/C][/ROW]
[ROW][C]0.3[/C][C]70.0223480640248[/C][C]0.354243098039739[/C][/ROW]
[ROW][C]0.31[/C][C]70.0913288479299[/C][C]0.337955126473182[/C][/ROW]
[ROW][C]0.32[/C][C]70.1565585351139[/C][C]0.320025028345165[/C][/ROW]
[ROW][C]0.33[/C][C]70.2179820908841[/C][C]0.301872087328875[/C][/ROW]
[ROW][C]0.34[/C][C]70.2757596481638[/C][C]0.284850671125986[/C][/ROW]
[ROW][C]0.35[/C][C]70.3302498698979[/C][C]0.270165577892293[/C][/ROW]
[ROW][C]0.36[/C][C]70.3819670823089[/C][C]0.258902603178412[/C][/ROW]
[ROW][C]0.37[/C][C]70.4315189597347[/C][C]0.251189893438186[/C][/ROW]
[ROW][C]0.38[/C][C]70.4795351846679[/C][C]0.247131878491118[/C][/ROW]
[ROW][C]0.39[/C][C]70.526598105069[/C][C]0.246078333208252[/C][/ROW]
[ROW][C]0.4[/C][C]70.5731845014563[/C][C]0.247155991792536[/C][/ROW]
[ROW][C]0.41[/C][C]70.6196243146342[/C][C]0.249472434355639[/C][/ROW]
[ROW][C]0.42[/C][C]70.6660787760823[/C][C]0.251879513770585[/C][/ROW]
[ROW][C]0.43[/C][C]70.7125376571321[/C][C]0.253369211769123[/C][/ROW]
[ROW][C]0.44[/C][C]70.7588336060267[/C][C]0.253310040046639[/C][/ROW]
[ROW][C]0.45[/C][C]70.8046706249329[/C][C]0.251038679853136[/C][/ROW]
[ROW][C]0.46[/C][C]70.8496632909508[/C][C]0.246063123883875[/C][/ROW]
[ROW][C]0.47[/C][C]70.8933830159105[/C][C]0.238311251064569[/C][/ROW]
[ROW][C]0.48[/C][C]70.9354073216209[/C][C]0.227976158497555[/C][/ROW]
[ROW][C]0.49[/C][C]70.9753678374471[/C][C]0.215460981686128[/C][/ROW]
[ROW][C]0.5[/C][C]71.0129926848616[/C][C]0.201409267454073[/C][/ROW]
[ROW][C]0.51[/C][C]71.0481392749175[/C][C]0.186774477879452[/C][/ROW]
[ROW][C]0.52[/C][C]71.0808143811751[/C][C]0.172273461603937[/C][/ROW]
[ROW][C]0.53[/C][C]71.1111795946434[/C][C]0.158944548036003[/C][/ROW]
[ROW][C]0.54[/C][C]71.1395417451571[/C][C]0.147713508406222[/C][/ROW]
[ROW][C]0.55[/C][C]71.1663293790379[/C][C]0.139310197084283[/C][/ROW]
[ROW][C]0.56[/C][C]71.1920577465326[/C][C]0.134190178831637[/C][/ROW]
[ROW][C]0.57[/C][C]71.2172858733125[/C][C]0.132501185084028[/C][/ROW]
[ROW][C]0.58[/C][C]71.2425701198552[/C][C]0.134309407280979[/C][/ROW]
[ROW][C]0.59[/C][C]71.2684191310168[/C][C]0.138845486084094[/C][/ROW]
[ROW][C]0.6[/C][C]71.2952551770184[/C][C]0.145459197682745[/C][/ROW]
[ROW][C]0.61[/C][C]71.3233864895317[/C][C]0.153259581952485[/C][/ROW]
[ROW][C]0.62[/C][C]71.3529942241391[/C][C]0.16136706505888[/C][/ROW]
[ROW][C]0.63[/C][C]71.3841361448233[/C][C]0.169088566293259[/C][/ROW]
[ROW][C]0.64[/C][C]71.4167671822179[/C][C]0.175894211736466[/C][/ROW]
[ROW][C]0.65[/C][C]71.4507749554129[/C][C]0.181382488016249[/C][/ROW]
[ROW][C]0.66[/C][C]71.4860265085683[/C][C]0.185642670602515[/C][/ROW]
[ROW][C]0.67[/C][C]71.5224211584393[/C][C]0.188956886247336[/C][/ROW]
[ROW][C]0.68[/C][C]71.5599435425313[/C][C]0.19198851743036[/C][/ROW]
[ROW][C]0.69[/C][C]71.5987105541709[/C][C]0.195430320069624[/C][/ROW]
[ROW][C]0.7[/C][C]71.6390056167205[/C][C]0.200345567407206[/C][/ROW]
[ROW][C]0.71[/C][C]71.6812935953539[/C][C]0.207639650204088[/C][/ROW]
[ROW][C]0.72[/C][C]71.7262098520483[/C][C]0.218372835728834[/C][/ROW]
[ROW][C]0.73[/C][C]71.7745182229965[/C][C]0.233063881685606[/C][/ROW]
[ROW][C]0.74[/C][C]71.8270359201321[/C][C]0.251890971896747[/C][/ROW]
[ROW][C]0.75[/C][C]71.8845290433857[/C][C]0.274120270670152[/C][/ROW]
[ROW][C]0.76[/C][C]71.9475900359389[/C][C]0.298676807373359[/C][/ROW]
[ROW][C]0.77[/C][C]72.0165161284686[/C][C]0.323400220972092[/C][/ROW]
[ROW][C]0.78[/C][C]72.0912126010806[/C][C]0.346109539328454[/C][/ROW]
[ROW][C]0.79[/C][C]72.1711435518865[/C][C]0.364551664767554[/C][/ROW]
[ROW][C]0.8[/C][C]72.2553444880701[/C][C]0.376637793654446[/C][/ROW]
[ROW][C]0.81[/C][C]72.3424972946525[/C][C]0.381165028725492[/C][/ROW]
[ROW][C]0.82[/C][C]72.4310542775518[/C][C]0.377649119426527[/C][/ROW]
[ROW][C]0.83[/C][C]72.5193911278773[/C][C]0.366578510148576[/C][/ROW]
[ROW][C]0.84[/C][C]72.6059742816623[/C][C]0.348834576062872[/C][/ROW]
[ROW][C]0.85[/C][C]72.6895459241719[/C][C]0.325967223052635[/C][/ROW]
[ROW][C]0.86[/C][C]72.7693507322316[/C][C]0.29989278145713[/C][/ROW]
[ROW][C]0.87[/C][C]72.8454348710515[/C][C]0.273199441174183[/C][/ROW]
[ROW][C]0.88[/C][C]72.9190192390382[/C][C]0.249676139611302[/C][/ROW]
[ROW][C]0.89[/C][C]72.9928734727226[/C][C]0.235006992196975[/C][/ROW]
[ROW][C]0.9[/C][C]73.0715082465621[/C][C]0.236309727674967[/C][/ROW]
[ROW][C]0.91[/C][C]73.1609153111164[/C][C]0.259082673757939[/C][/ROW]
[ROW][C]0.92[/C][C]73.2676073016602[/C][C]0.302213953024413[/C][/ROW]
[ROW][C]0.93[/C][C]73.3969132420984[/C][C]0.356033995444437[/C][/ROW]
[ROW][C]0.94[/C][C]73.5508197336128[/C][C]0.40459970566727[/C][/ROW]
[ROW][C]0.95[/C][C]73.7258909425725[/C][C]0.430529644031163[/C][/ROW]
[ROW][C]0.96[/C][C]73.9117700064903[/C][C]0.419955747889588[/C][/ROW]
[ROW][C]0.97[/C][C]74.0907815357852[/C][C]0.364169198152089[/C][/ROW]
[ROW][C]0.98[/C][C]74.240012686293[/C][C]0.259392117046276[/C][/ROW]
[ROW][C]0.99[/C][C]74.3385046614245[/C][C]0.120552610324233[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206668&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
0.0167.75098541502570.266080425674731
0.0267.87474260667050.192839899898986
0.0367.98962288906510.163613179024022
0.0468.08669471770390.172380135338364
0.0568.17216730022860.187472577003953
0.0668.25180540208590.195339609125867
0.0768.32782292161010.198363797317801
0.0868.40097194039570.203506091027933
0.0968.47215592492320.214101852656003
0.168.54251812176820.228379210760868
0.1168.6128951862450.242030368710428
0.1268.68347227054380.251784026798822
0.1368.75388956190420.256771789760669
0.1468.82363660447490.258675801980429
0.1568.89245570999350.26061642632361
0.1668.96055709387060.26574688516409
0.1769.02859257941850.275920656109739
0.1869.09745109688410.291009627526418
0.1969.1679910976250.309400734571096
0.269.24081607874090.328803907235106
0.2169.31615423804240.346994096355321
0.2269.39385045085740.362612406838654
0.2369.47343973049710.374668846813388
0.2469.5542556008150.382856566779929
0.2569.63553258618460.387311624345754
0.2669.7164804067870.388023626412001
0.2769.79632770308060.385059516465499
0.2869.87434694822550.37835407388382
0.2969.94987613523970.368003671769495
0.370.02234806402480.354243098039739
0.3170.09132884792990.337955126473182
0.3270.15655853511390.320025028345165
0.3370.21798209088410.301872087328875
0.3470.27575964816380.284850671125986
0.3570.33024986989790.270165577892293
0.3670.38196708230890.258902603178412
0.3770.43151895973470.251189893438186
0.3870.47953518466790.247131878491118
0.3970.5265981050690.246078333208252
0.470.57318450145630.247155991792536
0.4170.61962431463420.249472434355639
0.4270.66607877608230.251879513770585
0.4370.71253765713210.253369211769123
0.4470.75883360602670.253310040046639
0.4570.80467062493290.251038679853136
0.4670.84966329095080.246063123883875
0.4770.89338301591050.238311251064569
0.4870.93540732162090.227976158497555
0.4970.97536783744710.215460981686128
0.571.01299268486160.201409267454073
0.5171.04813927491750.186774477879452
0.5271.08081438117510.172273461603937
0.5371.11117959464340.158944548036003
0.5471.13954174515710.147713508406222
0.5571.16632937903790.139310197084283
0.5671.19205774653260.134190178831637
0.5771.21728587331250.132501185084028
0.5871.24257011985520.134309407280979
0.5971.26841913101680.138845486084094
0.671.29525517701840.145459197682745
0.6171.32338648953170.153259581952485
0.6271.35299422413910.16136706505888
0.6371.38413614482330.169088566293259
0.6471.41676718221790.175894211736466
0.6571.45077495541290.181382488016249
0.6671.48602650856830.185642670602515
0.6771.52242115843930.188956886247336
0.6871.55994354253130.19198851743036
0.6971.59871055417090.195430320069624
0.771.63900561672050.200345567407206
0.7171.68129359535390.207639650204088
0.7271.72620985204830.218372835728834
0.7371.77451822299650.233063881685606
0.7471.82703592013210.251890971896747
0.7571.88452904338570.274120270670152
0.7671.94759003593890.298676807373359
0.7772.01651612846860.323400220972092
0.7872.09121260108060.346109539328454
0.7972.17114355188650.364551664767554
0.872.25534448807010.376637793654446
0.8172.34249729465250.381165028725492
0.8272.43105427755180.377649119426527
0.8372.51939112787730.366578510148576
0.8472.60597428166230.348834576062872
0.8572.68954592417190.325967223052635
0.8672.76935073223160.29989278145713
0.8772.84543487105150.273199441174183
0.8872.91901923903820.249676139611302
0.8972.99287347272260.235006992196975
0.973.07150824656210.236309727674967
0.9173.16091531111640.259082673757939
0.9273.26760730166020.302213953024413
0.9373.39691324209840.356033995444437
0.9473.55081973361280.40459970566727
0.9573.72589094257250.430529644031163
0.9673.91177000649030.419955747889588
0.9774.09078153578520.364169198152089
0.9874.2400126862930.259392117046276
0.9974.33850466142450.120552610324233


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = gemiddelde consumptieprijzen broeken voor dames en heren ; par2 = belgostat ; par3 = gemiddelde consumptieprijzen broeken voor dames en heren ; par4 = 12 ;
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')