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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 computationMon, 30 Sep 2013 07:52:53 -0400
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/Sep/30/t1380542036w7npdmihpw9kzcu.htm/, Retrieved Wed, 01 May 2024 23:19:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212462, Retrieved Wed, 01 May 2024 23:19:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2013-09-23 08:02:05] [9fb2675916b8773bb0a74f31adc60d44]
- R P   [Histogram] [] [2013-09-23 09:35:34] [9fb2675916b8773bb0a74f31adc60d44]
- RMPD      [Harrell-Davis Quantiles] [] [2013-09-30 11:52:53] [79b59004c90874912279e9b1431bd052] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,44
100,47
100,49
100,52
100,47
100,48
100,48
100,53
100,62
100,89
100,97
101,01
101,02
100,92
100,93
100,98
101,07
101,1
101,11
101,19
101,31
101,52
101,61
101,65
101,66
101,56
101,75
101,83
101,98
102,06
102,07
102,1
102,42
102,91
103,14
103,23
103,23
102,91
103,11
103,14
103,26
103,3
103,32
103,44
103,54
103,98
104,24
104,29
104,29
103,98
103,98
103,89
103,86
103,88
103,88
104,31
104,41
104,8
104,89
104,9
104,9
104,54
104,67
104,87
105,04
105,09
105,1
105,46
105,83
106,27
106,46
106,52
106,53
105,96
106
106,15
106,32
106,41
106,41
106,81
106,99
107,35
107,53
107,56

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212462&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212462&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212462&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.4494740669110.0217019194730713
0.02100.4614408355480.0141764868811917
0.03100.4718720700810.014633372167017
0.04100.482265764490.0247783634747249
0.05100.4960956151630.0437944677198128
0.06100.5165501091570.070767705752832
0.07100.5457805240510.102978041816175
0.08100.5844830647510.135274979975339
0.09100.6316563303730.161871438562698
0.1100.6847775885890.177950455613124
0.11100.7404481456970.181817854473837
0.12100.7952836577680.175061892171054
0.13100.8467158358770.161586982649529
0.14100.8934528735370.146598367288128
0.15100.9355261847120.134762876627764
0.16100.974014217660.129550716768852
0.17101.010609820980.132360764034235
0.18101.0471843180020.142937956969706
0.19101.0854413294950.159533100071266
0.2101.126692403130.180040469542257
0.21101.1717490825790.201951424878368
0.22101.2209128096560.223395111174732
0.23101.2740433091020.242865375090477
0.24101.3306864120910.259231116754317
0.25101.3902388904780.272440451286687
0.26101.4521225669840.283241751425032
0.27101.5159372423160.292889500471552
0.28101.5815651941420.303302660443256
0.29101.6492094092590.316266968515721
0.3101.7193607717880.333027897680573
0.31101.7927025054670.354145739249083
0.32101.8699703023070.379441200055039
0.33101.9517924406590.407947624230551
0.34102.0385359691070.437393196031714
0.35102.1301835340030.465611728485321
0.36102.2262613153030.489928061365511
0.37102.3258319969690.507866344541593
0.38102.4275577778460.517632491251476
0.39102.5298276466240.517857337859851
0.4102.6309319346930.508338459315794
0.41102.7292577765860.490554593325329
0.42102.8234739793990.466154398281761
0.43102.9126746455160.437918484846409
0.44102.996457994350.408542453177682
0.45103.0749288349610.381200772306383
0.46103.1486274196990.358074140675674
0.47103.2184008064310.340637774548804
0.48103.2852425496620.329237625844457
0.49103.3501306928260.323370624435552
0.5103.4138921186610.32144687669622
0.51103.4771140961160.321565677731482
0.52103.5401131254540.322106995711341
0.53103.6029593130810.321682857449513
0.54103.6655439952350.319562628004337
0.55103.7276712650680.315753045513571
0.56103.7891516802890.310400510868419
0.57103.8498788417310.304487038169706
0.58103.9098756898730.299144108376376
0.59103.9693053823930.294933434895538
0.6104.0284493532590.29255577824195
0.61104.0876608916380.292422748590303
0.62104.1473055201980.294116748493184
0.63104.2076998544310.297293468464755
0.64104.2690594849170.301207626260144
0.65104.3314648555510.305106014270419
0.66104.3948526949870.308136098712367
0.67104.4590390011760.309579467687007
0.68104.5237768600080.309247616401551
0.69104.5888473682580.307018090873517
0.7104.6541742084860.303953408716183
0.71104.7199429297260.301387663726296
0.72104.786697178530.301273494422969
0.73104.8553794899260.30588451733837
0.74104.9272872737850.317229301521144
0.75105.0039274602910.336115160883524
0.76105.0867753996950.361866166810649
0.77105.1769710784460.391870692758707
0.78105.2750112061020.422403284012167
0.79105.3805101248510.448827462333311
0.8105.4920979069020.466571114752349
0.81105.6074976454830.472247627820002
0.82105.7237811499840.463973849015372
0.83105.8377565203030.441828879373666
0.84105.9464097571940.407953181352255
0.85106.0473191781980.365755488015878
0.86106.138987977230.319615112057643
0.87106.2210841204740.273953117280092
0.88106.2946142619570.233146220139375
0.89106.3620643906220.201691513783674
0.9106.4274996717760.184285509872183
0.91106.496534694490.185135041481529
0.92106.5759911443130.205814369391399
0.93106.6729932681910.242983368178471
0.94106.793249647880.287852575469879
0.95106.9383910088780.326701047049483
0.96107.1026630313360.341083842147527
0.97107.2703463730910.311062404319304
0.98107.4168953603050.226895071772085
0.99107.5171426919820.109981842837448

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.449474066911 & 0.0217019194730713 \tabularnewline
0.02 & 100.461440835548 & 0.0141764868811917 \tabularnewline
0.03 & 100.471872070081 & 0.014633372167017 \tabularnewline
0.04 & 100.48226576449 & 0.0247783634747249 \tabularnewline
0.05 & 100.496095615163 & 0.0437944677198128 \tabularnewline
0.06 & 100.516550109157 & 0.070767705752832 \tabularnewline
0.07 & 100.545780524051 & 0.102978041816175 \tabularnewline
0.08 & 100.584483064751 & 0.135274979975339 \tabularnewline
0.09 & 100.631656330373 & 0.161871438562698 \tabularnewline
0.1 & 100.684777588589 & 0.177950455613124 \tabularnewline
0.11 & 100.740448145697 & 0.181817854473837 \tabularnewline
0.12 & 100.795283657768 & 0.175061892171054 \tabularnewline
0.13 & 100.846715835877 & 0.161586982649529 \tabularnewline
0.14 & 100.893452873537 & 0.146598367288128 \tabularnewline
0.15 & 100.935526184712 & 0.134762876627764 \tabularnewline
0.16 & 100.97401421766 & 0.129550716768852 \tabularnewline
0.17 & 101.01060982098 & 0.132360764034235 \tabularnewline
0.18 & 101.047184318002 & 0.142937956969706 \tabularnewline
0.19 & 101.085441329495 & 0.159533100071266 \tabularnewline
0.2 & 101.12669240313 & 0.180040469542257 \tabularnewline
0.21 & 101.171749082579 & 0.201951424878368 \tabularnewline
0.22 & 101.220912809656 & 0.223395111174732 \tabularnewline
0.23 & 101.274043309102 & 0.242865375090477 \tabularnewline
0.24 & 101.330686412091 & 0.259231116754317 \tabularnewline
0.25 & 101.390238890478 & 0.272440451286687 \tabularnewline
0.26 & 101.452122566984 & 0.283241751425032 \tabularnewline
0.27 & 101.515937242316 & 0.292889500471552 \tabularnewline
0.28 & 101.581565194142 & 0.303302660443256 \tabularnewline
0.29 & 101.649209409259 & 0.316266968515721 \tabularnewline
0.3 & 101.719360771788 & 0.333027897680573 \tabularnewline
0.31 & 101.792702505467 & 0.354145739249083 \tabularnewline
0.32 & 101.869970302307 & 0.379441200055039 \tabularnewline
0.33 & 101.951792440659 & 0.407947624230551 \tabularnewline
0.34 & 102.038535969107 & 0.437393196031714 \tabularnewline
0.35 & 102.130183534003 & 0.465611728485321 \tabularnewline
0.36 & 102.226261315303 & 0.489928061365511 \tabularnewline
0.37 & 102.325831996969 & 0.507866344541593 \tabularnewline
0.38 & 102.427557777846 & 0.517632491251476 \tabularnewline
0.39 & 102.529827646624 & 0.517857337859851 \tabularnewline
0.4 & 102.630931934693 & 0.508338459315794 \tabularnewline
0.41 & 102.729257776586 & 0.490554593325329 \tabularnewline
0.42 & 102.823473979399 & 0.466154398281761 \tabularnewline
0.43 & 102.912674645516 & 0.437918484846409 \tabularnewline
0.44 & 102.99645799435 & 0.408542453177682 \tabularnewline
0.45 & 103.074928834961 & 0.381200772306383 \tabularnewline
0.46 & 103.148627419699 & 0.358074140675674 \tabularnewline
0.47 & 103.218400806431 & 0.340637774548804 \tabularnewline
0.48 & 103.285242549662 & 0.329237625844457 \tabularnewline
0.49 & 103.350130692826 & 0.323370624435552 \tabularnewline
0.5 & 103.413892118661 & 0.32144687669622 \tabularnewline
0.51 & 103.477114096116 & 0.321565677731482 \tabularnewline
0.52 & 103.540113125454 & 0.322106995711341 \tabularnewline
0.53 & 103.602959313081 & 0.321682857449513 \tabularnewline
0.54 & 103.665543995235 & 0.319562628004337 \tabularnewline
0.55 & 103.727671265068 & 0.315753045513571 \tabularnewline
0.56 & 103.789151680289 & 0.310400510868419 \tabularnewline
0.57 & 103.849878841731 & 0.304487038169706 \tabularnewline
0.58 & 103.909875689873 & 0.299144108376376 \tabularnewline
0.59 & 103.969305382393 & 0.294933434895538 \tabularnewline
0.6 & 104.028449353259 & 0.29255577824195 \tabularnewline
0.61 & 104.087660891638 & 0.292422748590303 \tabularnewline
0.62 & 104.147305520198 & 0.294116748493184 \tabularnewline
0.63 & 104.207699854431 & 0.297293468464755 \tabularnewline
0.64 & 104.269059484917 & 0.301207626260144 \tabularnewline
0.65 & 104.331464855551 & 0.305106014270419 \tabularnewline
0.66 & 104.394852694987 & 0.308136098712367 \tabularnewline
0.67 & 104.459039001176 & 0.309579467687007 \tabularnewline
0.68 & 104.523776860008 & 0.309247616401551 \tabularnewline
0.69 & 104.588847368258 & 0.307018090873517 \tabularnewline
0.7 & 104.654174208486 & 0.303953408716183 \tabularnewline
0.71 & 104.719942929726 & 0.301387663726296 \tabularnewline
0.72 & 104.78669717853 & 0.301273494422969 \tabularnewline
0.73 & 104.855379489926 & 0.30588451733837 \tabularnewline
0.74 & 104.927287273785 & 0.317229301521144 \tabularnewline
0.75 & 105.003927460291 & 0.336115160883524 \tabularnewline
0.76 & 105.086775399695 & 0.361866166810649 \tabularnewline
0.77 & 105.176971078446 & 0.391870692758707 \tabularnewline
0.78 & 105.275011206102 & 0.422403284012167 \tabularnewline
0.79 & 105.380510124851 & 0.448827462333311 \tabularnewline
0.8 & 105.492097906902 & 0.466571114752349 \tabularnewline
0.81 & 105.607497645483 & 0.472247627820002 \tabularnewline
0.82 & 105.723781149984 & 0.463973849015372 \tabularnewline
0.83 & 105.837756520303 & 0.441828879373666 \tabularnewline
0.84 & 105.946409757194 & 0.407953181352255 \tabularnewline
0.85 & 106.047319178198 & 0.365755488015878 \tabularnewline
0.86 & 106.13898797723 & 0.319615112057643 \tabularnewline
0.87 & 106.221084120474 & 0.273953117280092 \tabularnewline
0.88 & 106.294614261957 & 0.233146220139375 \tabularnewline
0.89 & 106.362064390622 & 0.201691513783674 \tabularnewline
0.9 & 106.427499671776 & 0.184285509872183 \tabularnewline
0.91 & 106.49653469449 & 0.185135041481529 \tabularnewline
0.92 & 106.575991144313 & 0.205814369391399 \tabularnewline
0.93 & 106.672993268191 & 0.242983368178471 \tabularnewline
0.94 & 106.79324964788 & 0.287852575469879 \tabularnewline
0.95 & 106.938391008878 & 0.326701047049483 \tabularnewline
0.96 & 107.102663031336 & 0.341083842147527 \tabularnewline
0.97 & 107.270346373091 & 0.311062404319304 \tabularnewline
0.98 & 107.416895360305 & 0.226895071772085 \tabularnewline
0.99 & 107.517142691982 & 0.109981842837448 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212462&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]100.449474066911[/C][C]0.0217019194730713[/C][/ROW]
[ROW][C]0.02[/C][C]100.461440835548[/C][C]0.0141764868811917[/C][/ROW]
[ROW][C]0.03[/C][C]100.471872070081[/C][C]0.014633372167017[/C][/ROW]
[ROW][C]0.04[/C][C]100.48226576449[/C][C]0.0247783634747249[/C][/ROW]
[ROW][C]0.05[/C][C]100.496095615163[/C][C]0.0437944677198128[/C][/ROW]
[ROW][C]0.06[/C][C]100.516550109157[/C][C]0.070767705752832[/C][/ROW]
[ROW][C]0.07[/C][C]100.545780524051[/C][C]0.102978041816175[/C][/ROW]
[ROW][C]0.08[/C][C]100.584483064751[/C][C]0.135274979975339[/C][/ROW]
[ROW][C]0.09[/C][C]100.631656330373[/C][C]0.161871438562698[/C][/ROW]
[ROW][C]0.1[/C][C]100.684777588589[/C][C]0.177950455613124[/C][/ROW]
[ROW][C]0.11[/C][C]100.740448145697[/C][C]0.181817854473837[/C][/ROW]
[ROW][C]0.12[/C][C]100.795283657768[/C][C]0.175061892171054[/C][/ROW]
[ROW][C]0.13[/C][C]100.846715835877[/C][C]0.161586982649529[/C][/ROW]
[ROW][C]0.14[/C][C]100.893452873537[/C][C]0.146598367288128[/C][/ROW]
[ROW][C]0.15[/C][C]100.935526184712[/C][C]0.134762876627764[/C][/ROW]
[ROW][C]0.16[/C][C]100.97401421766[/C][C]0.129550716768852[/C][/ROW]
[ROW][C]0.17[/C][C]101.01060982098[/C][C]0.132360764034235[/C][/ROW]
[ROW][C]0.18[/C][C]101.047184318002[/C][C]0.142937956969706[/C][/ROW]
[ROW][C]0.19[/C][C]101.085441329495[/C][C]0.159533100071266[/C][/ROW]
[ROW][C]0.2[/C][C]101.12669240313[/C][C]0.180040469542257[/C][/ROW]
[ROW][C]0.21[/C][C]101.171749082579[/C][C]0.201951424878368[/C][/ROW]
[ROW][C]0.22[/C][C]101.220912809656[/C][C]0.223395111174732[/C][/ROW]
[ROW][C]0.23[/C][C]101.274043309102[/C][C]0.242865375090477[/C][/ROW]
[ROW][C]0.24[/C][C]101.330686412091[/C][C]0.259231116754317[/C][/ROW]
[ROW][C]0.25[/C][C]101.390238890478[/C][C]0.272440451286687[/C][/ROW]
[ROW][C]0.26[/C][C]101.452122566984[/C][C]0.283241751425032[/C][/ROW]
[ROW][C]0.27[/C][C]101.515937242316[/C][C]0.292889500471552[/C][/ROW]
[ROW][C]0.28[/C][C]101.581565194142[/C][C]0.303302660443256[/C][/ROW]
[ROW][C]0.29[/C][C]101.649209409259[/C][C]0.316266968515721[/C][/ROW]
[ROW][C]0.3[/C][C]101.719360771788[/C][C]0.333027897680573[/C][/ROW]
[ROW][C]0.31[/C][C]101.792702505467[/C][C]0.354145739249083[/C][/ROW]
[ROW][C]0.32[/C][C]101.869970302307[/C][C]0.379441200055039[/C][/ROW]
[ROW][C]0.33[/C][C]101.951792440659[/C][C]0.407947624230551[/C][/ROW]
[ROW][C]0.34[/C][C]102.038535969107[/C][C]0.437393196031714[/C][/ROW]
[ROW][C]0.35[/C][C]102.130183534003[/C][C]0.465611728485321[/C][/ROW]
[ROW][C]0.36[/C][C]102.226261315303[/C][C]0.489928061365511[/C][/ROW]
[ROW][C]0.37[/C][C]102.325831996969[/C][C]0.507866344541593[/C][/ROW]
[ROW][C]0.38[/C][C]102.427557777846[/C][C]0.517632491251476[/C][/ROW]
[ROW][C]0.39[/C][C]102.529827646624[/C][C]0.517857337859851[/C][/ROW]
[ROW][C]0.4[/C][C]102.630931934693[/C][C]0.508338459315794[/C][/ROW]
[ROW][C]0.41[/C][C]102.729257776586[/C][C]0.490554593325329[/C][/ROW]
[ROW][C]0.42[/C][C]102.823473979399[/C][C]0.466154398281761[/C][/ROW]
[ROW][C]0.43[/C][C]102.912674645516[/C][C]0.437918484846409[/C][/ROW]
[ROW][C]0.44[/C][C]102.99645799435[/C][C]0.408542453177682[/C][/ROW]
[ROW][C]0.45[/C][C]103.074928834961[/C][C]0.381200772306383[/C][/ROW]
[ROW][C]0.46[/C][C]103.148627419699[/C][C]0.358074140675674[/C][/ROW]
[ROW][C]0.47[/C][C]103.218400806431[/C][C]0.340637774548804[/C][/ROW]
[ROW][C]0.48[/C][C]103.285242549662[/C][C]0.329237625844457[/C][/ROW]
[ROW][C]0.49[/C][C]103.350130692826[/C][C]0.323370624435552[/C][/ROW]
[ROW][C]0.5[/C][C]103.413892118661[/C][C]0.32144687669622[/C][/ROW]
[ROW][C]0.51[/C][C]103.477114096116[/C][C]0.321565677731482[/C][/ROW]
[ROW][C]0.52[/C][C]103.540113125454[/C][C]0.322106995711341[/C][/ROW]
[ROW][C]0.53[/C][C]103.602959313081[/C][C]0.321682857449513[/C][/ROW]
[ROW][C]0.54[/C][C]103.665543995235[/C][C]0.319562628004337[/C][/ROW]
[ROW][C]0.55[/C][C]103.727671265068[/C][C]0.315753045513571[/C][/ROW]
[ROW][C]0.56[/C][C]103.789151680289[/C][C]0.310400510868419[/C][/ROW]
[ROW][C]0.57[/C][C]103.849878841731[/C][C]0.304487038169706[/C][/ROW]
[ROW][C]0.58[/C][C]103.909875689873[/C][C]0.299144108376376[/C][/ROW]
[ROW][C]0.59[/C][C]103.969305382393[/C][C]0.294933434895538[/C][/ROW]
[ROW][C]0.6[/C][C]104.028449353259[/C][C]0.29255577824195[/C][/ROW]
[ROW][C]0.61[/C][C]104.087660891638[/C][C]0.292422748590303[/C][/ROW]
[ROW][C]0.62[/C][C]104.147305520198[/C][C]0.294116748493184[/C][/ROW]
[ROW][C]0.63[/C][C]104.207699854431[/C][C]0.297293468464755[/C][/ROW]
[ROW][C]0.64[/C][C]104.269059484917[/C][C]0.301207626260144[/C][/ROW]
[ROW][C]0.65[/C][C]104.331464855551[/C][C]0.305106014270419[/C][/ROW]
[ROW][C]0.66[/C][C]104.394852694987[/C][C]0.308136098712367[/C][/ROW]
[ROW][C]0.67[/C][C]104.459039001176[/C][C]0.309579467687007[/C][/ROW]
[ROW][C]0.68[/C][C]104.523776860008[/C][C]0.309247616401551[/C][/ROW]
[ROW][C]0.69[/C][C]104.588847368258[/C][C]0.307018090873517[/C][/ROW]
[ROW][C]0.7[/C][C]104.654174208486[/C][C]0.303953408716183[/C][/ROW]
[ROW][C]0.71[/C][C]104.719942929726[/C][C]0.301387663726296[/C][/ROW]
[ROW][C]0.72[/C][C]104.78669717853[/C][C]0.301273494422969[/C][/ROW]
[ROW][C]0.73[/C][C]104.855379489926[/C][C]0.30588451733837[/C][/ROW]
[ROW][C]0.74[/C][C]104.927287273785[/C][C]0.317229301521144[/C][/ROW]
[ROW][C]0.75[/C][C]105.003927460291[/C][C]0.336115160883524[/C][/ROW]
[ROW][C]0.76[/C][C]105.086775399695[/C][C]0.361866166810649[/C][/ROW]
[ROW][C]0.77[/C][C]105.176971078446[/C][C]0.391870692758707[/C][/ROW]
[ROW][C]0.78[/C][C]105.275011206102[/C][C]0.422403284012167[/C][/ROW]
[ROW][C]0.79[/C][C]105.380510124851[/C][C]0.448827462333311[/C][/ROW]
[ROW][C]0.8[/C][C]105.492097906902[/C][C]0.466571114752349[/C][/ROW]
[ROW][C]0.81[/C][C]105.607497645483[/C][C]0.472247627820002[/C][/ROW]
[ROW][C]0.82[/C][C]105.723781149984[/C][C]0.463973849015372[/C][/ROW]
[ROW][C]0.83[/C][C]105.837756520303[/C][C]0.441828879373666[/C][/ROW]
[ROW][C]0.84[/C][C]105.946409757194[/C][C]0.407953181352255[/C][/ROW]
[ROW][C]0.85[/C][C]106.047319178198[/C][C]0.365755488015878[/C][/ROW]
[ROW][C]0.86[/C][C]106.13898797723[/C][C]0.319615112057643[/C][/ROW]
[ROW][C]0.87[/C][C]106.221084120474[/C][C]0.273953117280092[/C][/ROW]
[ROW][C]0.88[/C][C]106.294614261957[/C][C]0.233146220139375[/C][/ROW]
[ROW][C]0.89[/C][C]106.362064390622[/C][C]0.201691513783674[/C][/ROW]
[ROW][C]0.9[/C][C]106.427499671776[/C][C]0.184285509872183[/C][/ROW]
[ROW][C]0.91[/C][C]106.49653469449[/C][C]0.185135041481529[/C][/ROW]
[ROW][C]0.92[/C][C]106.575991144313[/C][C]0.205814369391399[/C][/ROW]
[ROW][C]0.93[/C][C]106.672993268191[/C][C]0.242983368178471[/C][/ROW]
[ROW][C]0.94[/C][C]106.79324964788[/C][C]0.287852575469879[/C][/ROW]
[ROW][C]0.95[/C][C]106.938391008878[/C][C]0.326701047049483[/C][/ROW]
[ROW][C]0.96[/C][C]107.102663031336[/C][C]0.341083842147527[/C][/ROW]
[ROW][C]0.97[/C][C]107.270346373091[/C][C]0.311062404319304[/C][/ROW]
[ROW][C]0.98[/C][C]107.416895360305[/C][C]0.226895071772085[/C][/ROW]
[ROW][C]0.99[/C][C]107.517142691982[/C][C]0.109981842837448[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212462&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212462&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
0.01100.4494740669110.0217019194730713
0.02100.4614408355480.0141764868811917
0.03100.4718720700810.014633372167017
0.04100.482265764490.0247783634747249
0.05100.4960956151630.0437944677198128
0.06100.5165501091570.070767705752832
0.07100.5457805240510.102978041816175
0.08100.5844830647510.135274979975339
0.09100.6316563303730.161871438562698
0.1100.6847775885890.177950455613124
0.11100.7404481456970.181817854473837
0.12100.7952836577680.175061892171054
0.13100.8467158358770.161586982649529
0.14100.8934528735370.146598367288128
0.15100.9355261847120.134762876627764
0.16100.974014217660.129550716768852
0.17101.010609820980.132360764034235
0.18101.0471843180020.142937956969706
0.19101.0854413294950.159533100071266
0.2101.126692403130.180040469542257
0.21101.1717490825790.201951424878368
0.22101.2209128096560.223395111174732
0.23101.2740433091020.242865375090477
0.24101.3306864120910.259231116754317
0.25101.3902388904780.272440451286687
0.26101.4521225669840.283241751425032
0.27101.5159372423160.292889500471552
0.28101.5815651941420.303302660443256
0.29101.6492094092590.316266968515721
0.3101.7193607717880.333027897680573
0.31101.7927025054670.354145739249083
0.32101.8699703023070.379441200055039
0.33101.9517924406590.407947624230551
0.34102.0385359691070.437393196031714
0.35102.1301835340030.465611728485321
0.36102.2262613153030.489928061365511
0.37102.3258319969690.507866344541593
0.38102.4275577778460.517632491251476
0.39102.5298276466240.517857337859851
0.4102.6309319346930.508338459315794
0.41102.7292577765860.490554593325329
0.42102.8234739793990.466154398281761
0.43102.9126746455160.437918484846409
0.44102.996457994350.408542453177682
0.45103.0749288349610.381200772306383
0.46103.1486274196990.358074140675674
0.47103.2184008064310.340637774548804
0.48103.2852425496620.329237625844457
0.49103.3501306928260.323370624435552
0.5103.4138921186610.32144687669622
0.51103.4771140961160.321565677731482
0.52103.5401131254540.322106995711341
0.53103.6029593130810.321682857449513
0.54103.6655439952350.319562628004337
0.55103.7276712650680.315753045513571
0.56103.7891516802890.310400510868419
0.57103.8498788417310.304487038169706
0.58103.9098756898730.299144108376376
0.59103.9693053823930.294933434895538
0.6104.0284493532590.29255577824195
0.61104.0876608916380.292422748590303
0.62104.1473055201980.294116748493184
0.63104.2076998544310.297293468464755
0.64104.2690594849170.301207626260144
0.65104.3314648555510.305106014270419
0.66104.3948526949870.308136098712367
0.67104.4590390011760.309579467687007
0.68104.5237768600080.309247616401551
0.69104.5888473682580.307018090873517
0.7104.6541742084860.303953408716183
0.71104.7199429297260.301387663726296
0.72104.786697178530.301273494422969
0.73104.8553794899260.30588451733837
0.74104.9272872737850.317229301521144
0.75105.0039274602910.336115160883524
0.76105.0867753996950.361866166810649
0.77105.1769710784460.391870692758707
0.78105.2750112061020.422403284012167
0.79105.3805101248510.448827462333311
0.8105.4920979069020.466571114752349
0.81105.6074976454830.472247627820002
0.82105.7237811499840.463973849015372
0.83105.8377565203030.441828879373666
0.84105.9464097571940.407953181352255
0.85106.0473191781980.365755488015878
0.86106.138987977230.319615112057643
0.87106.2210841204740.273953117280092
0.88106.2946142619570.233146220139375
0.89106.3620643906220.201691513783674
0.9106.4274996717760.184285509872183
0.91106.496534694490.185135041481529
0.92106.5759911443130.205814369391399
0.93106.6729932681910.242983368178471
0.94106.793249647880.287852575469879
0.95106.9383910088780.326701047049483
0.96107.1026630313360.341083842147527
0.97107.2703463730910.311062404319304
0.98107.4168953603050.226895071772085
0.99107.5171426919820.109981842837448


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')