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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, 08 Oct 2014 07:40:23 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412750455nrttso33vzanwig.htm/, Retrieved Sat, 11 May 2024 13:14:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239410, Retrieved Sat, 11 May 2024 13:14:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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] [] [2014-10-08 06:40:23] [5cf6a598f846f655ef95f65053f7ffc6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
74.38
74.36
74.42
74.59
75.07
75.19
75.19
75.21
75.18
75.86
75.93
76.01
73.23
73.23
73.2
73.24
73.36
73.4
73.49
73.49
73.57
73.82
74.08
74.08

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=239410&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=239410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239410&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
0.0170.29811543274750.0237515170781994
0.0270.317234164050.0495722448104736
0.0370.34604326855610.068834113529402
0.0470.38160664801310.0857717475607878
0.0570.42180731671740.103765327147333
0.0670.46551387911380.12051036839239
0.0770.51186131265570.133428742819714
0.0870.55994922847720.142847483615145
0.0970.60904068309340.151118478233644
0.170.65877779400910.160437198573073
0.1170.70911515401830.170963084952145
0.1270.76003014664540.180873969021728
0.1370.81123198900460.187847979253598
0.1470.86203914191450.189935081384445
0.1570.91145973453780.186151927488619
0.1670.95840470068540.177043041580882
0.1771.00192840918080.163804637437852
0.1871.04141275808350.148387491859279
0.1971.07665550333110.132726084695832
0.271.10786496254520.11863915751193
0.2171.13558791245070.107446551456534
0.2271.16060428345130.100252270728258
0.2371.18381666684440.0974350926478795
0.2471.20615192526440.0989663690757089
0.2571.22848211819150.104485450928031
0.2671.25156556801460.11318656002412
0.2771.27600660736810.124204127899986
0.2871.30223301925140.136513620287798
0.2971.33049143913560.149223890753491
0.371.36086141341940.161462093724004
0.3171.39328768613120.172746632289195
0.3271.42762786901270.182738578194677
0.3371.46370983447270.19153214094062
0.3471.50139099261710.199809609602995
0.3571.54061080902660.207976516327603
0.3671.58142870583910.216978435450645
0.3771.62404159823510.22793882830105
0.3871.66877821264140.241228669415795
0.3971.71607044880690.257596105314688
0.471.76640496233340.277286001096961
0.4171.82026060452450.299781924051654
0.4271.87803920726780.324332206774284
0.4371.93999828947010.349883383163013
0.4472.00619440019540.375024109443603
0.4572.07644483006880.398245069235505
0.4672.15031327493590.417991116392425
0.4772.22712192048180.432811010951352
0.4872.30598879871970.441996786987106
0.4972.38588580097480.444693194275852
0.572.46571008975070.441028101843492
0.5172.54436032909370.430982065554721
0.5272.62080932487350.415337450442652
0.5372.69416615076910.395175028990131
0.5472.76372317159070.371496904545568
0.5572.82898597790590.345602878590544
0.5672.88968657630650.318846492538603
0.5772.94578187305060.292243576292003
0.5872.99744040550820.26701941813115
0.5973.0450204788760.244147880292489
0.673.08904255007560.224455974272883
0.6173.1301581085840.208576216096712
0.6273.1691166525090.197067053083398
0.6373.20673179731680.190110017708233
0.6473.24384715519120.187839582584066
0.6573.28130239216370.190154294141174
0.6673.31989978225010.196514216995009
0.6773.36037160707720.206429324467465
0.6873.40334888889380.219104846036036
0.6973.449332201290.233797984882975
0.773.49866567126860.249482821864414
0.7173.55151572981580.265211596039725
0.7273.60785661858740.279959150085502
0.7373.66746507074560.292770572678015
0.7473.72992699071990.302791599021401
0.7573.7946594850210.309200166509998
0.7673.86095231789330.311526771569253
0.7773.92803350052620.309605418500465
0.7873.99516328332340.303741754874085
0.7974.06175749954410.294500559551751
0.874.12753287040.283330558017281
0.8174.19265240397740.272324374951231
0.8274.25783029844630.264109539495807
0.8374.32433954448880.26177212109039
0.8474.39386353643260.267554005183998
0.8574.46815935599670.281762508829904
0.8674.54856403704850.301721407949518
0.8774.63547053666090.321994027509092
0.8874.72799844491570.335785754527682
0.8974.82413092605740.33723645404192
0.974.92151276476260.324143586342816
0.9175.01884377009710.300246096830104
0.9275.11735874217120.276478094426895
0.9375.22140705624270.268920608941085
0.9475.33700668576620.287277065802154
0.9575.46798836788320.319144394294291
0.9675.61119765882610.332621911052086
0.9775.75419627435980.297349394327242
0.9875.87846676135480.211723184749204
0.9975.96678837868360.119008369401494

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 70.2981154327475 & 0.0237515170781994 \tabularnewline
0.02 & 70.31723416405 & 0.0495722448104736 \tabularnewline
0.03 & 70.3460432685561 & 0.068834113529402 \tabularnewline
0.04 & 70.3816066480131 & 0.0857717475607878 \tabularnewline
0.05 & 70.4218073167174 & 0.103765327147333 \tabularnewline
0.06 & 70.4655138791138 & 0.12051036839239 \tabularnewline
0.07 & 70.5118613126557 & 0.133428742819714 \tabularnewline
0.08 & 70.5599492284772 & 0.142847483615145 \tabularnewline
0.09 & 70.6090406830934 & 0.151118478233644 \tabularnewline
0.1 & 70.6587777940091 & 0.160437198573073 \tabularnewline
0.11 & 70.7091151540183 & 0.170963084952145 \tabularnewline
0.12 & 70.7600301466454 & 0.180873969021728 \tabularnewline
0.13 & 70.8112319890046 & 0.187847979253598 \tabularnewline
0.14 & 70.8620391419145 & 0.189935081384445 \tabularnewline
0.15 & 70.9114597345378 & 0.186151927488619 \tabularnewline
0.16 & 70.9584047006854 & 0.177043041580882 \tabularnewline
0.17 & 71.0019284091808 & 0.163804637437852 \tabularnewline
0.18 & 71.0414127580835 & 0.148387491859279 \tabularnewline
0.19 & 71.0766555033311 & 0.132726084695832 \tabularnewline
0.2 & 71.1078649625452 & 0.11863915751193 \tabularnewline
0.21 & 71.1355879124507 & 0.107446551456534 \tabularnewline
0.22 & 71.1606042834513 & 0.100252270728258 \tabularnewline
0.23 & 71.1838166668444 & 0.0974350926478795 \tabularnewline
0.24 & 71.2061519252644 & 0.0989663690757089 \tabularnewline
0.25 & 71.2284821181915 & 0.104485450928031 \tabularnewline
0.26 & 71.2515655680146 & 0.11318656002412 \tabularnewline
0.27 & 71.2760066073681 & 0.124204127899986 \tabularnewline
0.28 & 71.3022330192514 & 0.136513620287798 \tabularnewline
0.29 & 71.3304914391356 & 0.149223890753491 \tabularnewline
0.3 & 71.3608614134194 & 0.161462093724004 \tabularnewline
0.31 & 71.3932876861312 & 0.172746632289195 \tabularnewline
0.32 & 71.4276278690127 & 0.182738578194677 \tabularnewline
0.33 & 71.4637098344727 & 0.19153214094062 \tabularnewline
0.34 & 71.5013909926171 & 0.199809609602995 \tabularnewline
0.35 & 71.5406108090266 & 0.207976516327603 \tabularnewline
0.36 & 71.5814287058391 & 0.216978435450645 \tabularnewline
0.37 & 71.6240415982351 & 0.22793882830105 \tabularnewline
0.38 & 71.6687782126414 & 0.241228669415795 \tabularnewline
0.39 & 71.7160704488069 & 0.257596105314688 \tabularnewline
0.4 & 71.7664049623334 & 0.277286001096961 \tabularnewline
0.41 & 71.8202606045245 & 0.299781924051654 \tabularnewline
0.42 & 71.8780392072678 & 0.324332206774284 \tabularnewline
0.43 & 71.9399982894701 & 0.349883383163013 \tabularnewline
0.44 & 72.0061944001954 & 0.375024109443603 \tabularnewline
0.45 & 72.0764448300688 & 0.398245069235505 \tabularnewline
0.46 & 72.1503132749359 & 0.417991116392425 \tabularnewline
0.47 & 72.2271219204818 & 0.432811010951352 \tabularnewline
0.48 & 72.3059887987197 & 0.441996786987106 \tabularnewline
0.49 & 72.3858858009748 & 0.444693194275852 \tabularnewline
0.5 & 72.4657100897507 & 0.441028101843492 \tabularnewline
0.51 & 72.5443603290937 & 0.430982065554721 \tabularnewline
0.52 & 72.6208093248735 & 0.415337450442652 \tabularnewline
0.53 & 72.6941661507691 & 0.395175028990131 \tabularnewline
0.54 & 72.7637231715907 & 0.371496904545568 \tabularnewline
0.55 & 72.8289859779059 & 0.345602878590544 \tabularnewline
0.56 & 72.8896865763065 & 0.318846492538603 \tabularnewline
0.57 & 72.9457818730506 & 0.292243576292003 \tabularnewline
0.58 & 72.9974404055082 & 0.26701941813115 \tabularnewline
0.59 & 73.045020478876 & 0.244147880292489 \tabularnewline
0.6 & 73.0890425500756 & 0.224455974272883 \tabularnewline
0.61 & 73.130158108584 & 0.208576216096712 \tabularnewline
0.62 & 73.169116652509 & 0.197067053083398 \tabularnewline
0.63 & 73.2067317973168 & 0.190110017708233 \tabularnewline
0.64 & 73.2438471551912 & 0.187839582584066 \tabularnewline
0.65 & 73.2813023921637 & 0.190154294141174 \tabularnewline
0.66 & 73.3198997822501 & 0.196514216995009 \tabularnewline
0.67 & 73.3603716070772 & 0.206429324467465 \tabularnewline
0.68 & 73.4033488888938 & 0.219104846036036 \tabularnewline
0.69 & 73.44933220129 & 0.233797984882975 \tabularnewline
0.7 & 73.4986656712686 & 0.249482821864414 \tabularnewline
0.71 & 73.5515157298158 & 0.265211596039725 \tabularnewline
0.72 & 73.6078566185874 & 0.279959150085502 \tabularnewline
0.73 & 73.6674650707456 & 0.292770572678015 \tabularnewline
0.74 & 73.7299269907199 & 0.302791599021401 \tabularnewline
0.75 & 73.794659485021 & 0.309200166509998 \tabularnewline
0.76 & 73.8609523178933 & 0.311526771569253 \tabularnewline
0.77 & 73.9280335005262 & 0.309605418500465 \tabularnewline
0.78 & 73.9951632833234 & 0.303741754874085 \tabularnewline
0.79 & 74.0617574995441 & 0.294500559551751 \tabularnewline
0.8 & 74.1275328704 & 0.283330558017281 \tabularnewline
0.81 & 74.1926524039774 & 0.272324374951231 \tabularnewline
0.82 & 74.2578302984463 & 0.264109539495807 \tabularnewline
0.83 & 74.3243395444888 & 0.26177212109039 \tabularnewline
0.84 & 74.3938635364326 & 0.267554005183998 \tabularnewline
0.85 & 74.4681593559967 & 0.281762508829904 \tabularnewline
0.86 & 74.5485640370485 & 0.301721407949518 \tabularnewline
0.87 & 74.6354705366609 & 0.321994027509092 \tabularnewline
0.88 & 74.7279984449157 & 0.335785754527682 \tabularnewline
0.89 & 74.8241309260574 & 0.33723645404192 \tabularnewline
0.9 & 74.9215127647626 & 0.324143586342816 \tabularnewline
0.91 & 75.0188437700971 & 0.300246096830104 \tabularnewline
0.92 & 75.1173587421712 & 0.276478094426895 \tabularnewline
0.93 & 75.2214070562427 & 0.268920608941085 \tabularnewline
0.94 & 75.3370066857662 & 0.287277065802154 \tabularnewline
0.95 & 75.4679883678832 & 0.319144394294291 \tabularnewline
0.96 & 75.6111976588261 & 0.332621911052086 \tabularnewline
0.97 & 75.7541962743598 & 0.297349394327242 \tabularnewline
0.98 & 75.8784667613548 & 0.211723184749204 \tabularnewline
0.99 & 75.9667883786836 & 0.119008369401494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239410&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]70.2981154327475[/C][C]0.0237515170781994[/C][/ROW]
[ROW][C]0.02[/C][C]70.31723416405[/C][C]0.0495722448104736[/C][/ROW]
[ROW][C]0.03[/C][C]70.3460432685561[/C][C]0.068834113529402[/C][/ROW]
[ROW][C]0.04[/C][C]70.3816066480131[/C][C]0.0857717475607878[/C][/ROW]
[ROW][C]0.05[/C][C]70.4218073167174[/C][C]0.103765327147333[/C][/ROW]
[ROW][C]0.06[/C][C]70.4655138791138[/C][C]0.12051036839239[/C][/ROW]
[ROW][C]0.07[/C][C]70.5118613126557[/C][C]0.133428742819714[/C][/ROW]
[ROW][C]0.08[/C][C]70.5599492284772[/C][C]0.142847483615145[/C][/ROW]
[ROW][C]0.09[/C][C]70.6090406830934[/C][C]0.151118478233644[/C][/ROW]
[ROW][C]0.1[/C][C]70.6587777940091[/C][C]0.160437198573073[/C][/ROW]
[ROW][C]0.11[/C][C]70.7091151540183[/C][C]0.170963084952145[/C][/ROW]
[ROW][C]0.12[/C][C]70.7600301466454[/C][C]0.180873969021728[/C][/ROW]
[ROW][C]0.13[/C][C]70.8112319890046[/C][C]0.187847979253598[/C][/ROW]
[ROW][C]0.14[/C][C]70.8620391419145[/C][C]0.189935081384445[/C][/ROW]
[ROW][C]0.15[/C][C]70.9114597345378[/C][C]0.186151927488619[/C][/ROW]
[ROW][C]0.16[/C][C]70.9584047006854[/C][C]0.177043041580882[/C][/ROW]
[ROW][C]0.17[/C][C]71.0019284091808[/C][C]0.163804637437852[/C][/ROW]
[ROW][C]0.18[/C][C]71.0414127580835[/C][C]0.148387491859279[/C][/ROW]
[ROW][C]0.19[/C][C]71.0766555033311[/C][C]0.132726084695832[/C][/ROW]
[ROW][C]0.2[/C][C]71.1078649625452[/C][C]0.11863915751193[/C][/ROW]
[ROW][C]0.21[/C][C]71.1355879124507[/C][C]0.107446551456534[/C][/ROW]
[ROW][C]0.22[/C][C]71.1606042834513[/C][C]0.100252270728258[/C][/ROW]
[ROW][C]0.23[/C][C]71.1838166668444[/C][C]0.0974350926478795[/C][/ROW]
[ROW][C]0.24[/C][C]71.2061519252644[/C][C]0.0989663690757089[/C][/ROW]
[ROW][C]0.25[/C][C]71.2284821181915[/C][C]0.104485450928031[/C][/ROW]
[ROW][C]0.26[/C][C]71.2515655680146[/C][C]0.11318656002412[/C][/ROW]
[ROW][C]0.27[/C][C]71.2760066073681[/C][C]0.124204127899986[/C][/ROW]
[ROW][C]0.28[/C][C]71.3022330192514[/C][C]0.136513620287798[/C][/ROW]
[ROW][C]0.29[/C][C]71.3304914391356[/C][C]0.149223890753491[/C][/ROW]
[ROW][C]0.3[/C][C]71.3608614134194[/C][C]0.161462093724004[/C][/ROW]
[ROW][C]0.31[/C][C]71.3932876861312[/C][C]0.172746632289195[/C][/ROW]
[ROW][C]0.32[/C][C]71.4276278690127[/C][C]0.182738578194677[/C][/ROW]
[ROW][C]0.33[/C][C]71.4637098344727[/C][C]0.19153214094062[/C][/ROW]
[ROW][C]0.34[/C][C]71.5013909926171[/C][C]0.199809609602995[/C][/ROW]
[ROW][C]0.35[/C][C]71.5406108090266[/C][C]0.207976516327603[/C][/ROW]
[ROW][C]0.36[/C][C]71.5814287058391[/C][C]0.216978435450645[/C][/ROW]
[ROW][C]0.37[/C][C]71.6240415982351[/C][C]0.22793882830105[/C][/ROW]
[ROW][C]0.38[/C][C]71.6687782126414[/C][C]0.241228669415795[/C][/ROW]
[ROW][C]0.39[/C][C]71.7160704488069[/C][C]0.257596105314688[/C][/ROW]
[ROW][C]0.4[/C][C]71.7664049623334[/C][C]0.277286001096961[/C][/ROW]
[ROW][C]0.41[/C][C]71.8202606045245[/C][C]0.299781924051654[/C][/ROW]
[ROW][C]0.42[/C][C]71.8780392072678[/C][C]0.324332206774284[/C][/ROW]
[ROW][C]0.43[/C][C]71.9399982894701[/C][C]0.349883383163013[/C][/ROW]
[ROW][C]0.44[/C][C]72.0061944001954[/C][C]0.375024109443603[/C][/ROW]
[ROW][C]0.45[/C][C]72.0764448300688[/C][C]0.398245069235505[/C][/ROW]
[ROW][C]0.46[/C][C]72.1503132749359[/C][C]0.417991116392425[/C][/ROW]
[ROW][C]0.47[/C][C]72.2271219204818[/C][C]0.432811010951352[/C][/ROW]
[ROW][C]0.48[/C][C]72.3059887987197[/C][C]0.441996786987106[/C][/ROW]
[ROW][C]0.49[/C][C]72.3858858009748[/C][C]0.444693194275852[/C][/ROW]
[ROW][C]0.5[/C][C]72.4657100897507[/C][C]0.441028101843492[/C][/ROW]
[ROW][C]0.51[/C][C]72.5443603290937[/C][C]0.430982065554721[/C][/ROW]
[ROW][C]0.52[/C][C]72.6208093248735[/C][C]0.415337450442652[/C][/ROW]
[ROW][C]0.53[/C][C]72.6941661507691[/C][C]0.395175028990131[/C][/ROW]
[ROW][C]0.54[/C][C]72.7637231715907[/C][C]0.371496904545568[/C][/ROW]
[ROW][C]0.55[/C][C]72.8289859779059[/C][C]0.345602878590544[/C][/ROW]
[ROW][C]0.56[/C][C]72.8896865763065[/C][C]0.318846492538603[/C][/ROW]
[ROW][C]0.57[/C][C]72.9457818730506[/C][C]0.292243576292003[/C][/ROW]
[ROW][C]0.58[/C][C]72.9974404055082[/C][C]0.26701941813115[/C][/ROW]
[ROW][C]0.59[/C][C]73.045020478876[/C][C]0.244147880292489[/C][/ROW]
[ROW][C]0.6[/C][C]73.0890425500756[/C][C]0.224455974272883[/C][/ROW]
[ROW][C]0.61[/C][C]73.130158108584[/C][C]0.208576216096712[/C][/ROW]
[ROW][C]0.62[/C][C]73.169116652509[/C][C]0.197067053083398[/C][/ROW]
[ROW][C]0.63[/C][C]73.2067317973168[/C][C]0.190110017708233[/C][/ROW]
[ROW][C]0.64[/C][C]73.2438471551912[/C][C]0.187839582584066[/C][/ROW]
[ROW][C]0.65[/C][C]73.2813023921637[/C][C]0.190154294141174[/C][/ROW]
[ROW][C]0.66[/C][C]73.3198997822501[/C][C]0.196514216995009[/C][/ROW]
[ROW][C]0.67[/C][C]73.3603716070772[/C][C]0.206429324467465[/C][/ROW]
[ROW][C]0.68[/C][C]73.4033488888938[/C][C]0.219104846036036[/C][/ROW]
[ROW][C]0.69[/C][C]73.44933220129[/C][C]0.233797984882975[/C][/ROW]
[ROW][C]0.7[/C][C]73.4986656712686[/C][C]0.249482821864414[/C][/ROW]
[ROW][C]0.71[/C][C]73.5515157298158[/C][C]0.265211596039725[/C][/ROW]
[ROW][C]0.72[/C][C]73.6078566185874[/C][C]0.279959150085502[/C][/ROW]
[ROW][C]0.73[/C][C]73.6674650707456[/C][C]0.292770572678015[/C][/ROW]
[ROW][C]0.74[/C][C]73.7299269907199[/C][C]0.302791599021401[/C][/ROW]
[ROW][C]0.75[/C][C]73.794659485021[/C][C]0.309200166509998[/C][/ROW]
[ROW][C]0.76[/C][C]73.8609523178933[/C][C]0.311526771569253[/C][/ROW]
[ROW][C]0.77[/C][C]73.9280335005262[/C][C]0.309605418500465[/C][/ROW]
[ROW][C]0.78[/C][C]73.9951632833234[/C][C]0.303741754874085[/C][/ROW]
[ROW][C]0.79[/C][C]74.0617574995441[/C][C]0.294500559551751[/C][/ROW]
[ROW][C]0.8[/C][C]74.1275328704[/C][C]0.283330558017281[/C][/ROW]
[ROW][C]0.81[/C][C]74.1926524039774[/C][C]0.272324374951231[/C][/ROW]
[ROW][C]0.82[/C][C]74.2578302984463[/C][C]0.264109539495807[/C][/ROW]
[ROW][C]0.83[/C][C]74.3243395444888[/C][C]0.26177212109039[/C][/ROW]
[ROW][C]0.84[/C][C]74.3938635364326[/C][C]0.267554005183998[/C][/ROW]
[ROW][C]0.85[/C][C]74.4681593559967[/C][C]0.281762508829904[/C][/ROW]
[ROW][C]0.86[/C][C]74.5485640370485[/C][C]0.301721407949518[/C][/ROW]
[ROW][C]0.87[/C][C]74.6354705366609[/C][C]0.321994027509092[/C][/ROW]
[ROW][C]0.88[/C][C]74.7279984449157[/C][C]0.335785754527682[/C][/ROW]
[ROW][C]0.89[/C][C]74.8241309260574[/C][C]0.33723645404192[/C][/ROW]
[ROW][C]0.9[/C][C]74.9215127647626[/C][C]0.324143586342816[/C][/ROW]
[ROW][C]0.91[/C][C]75.0188437700971[/C][C]0.300246096830104[/C][/ROW]
[ROW][C]0.92[/C][C]75.1173587421712[/C][C]0.276478094426895[/C][/ROW]
[ROW][C]0.93[/C][C]75.2214070562427[/C][C]0.268920608941085[/C][/ROW]
[ROW][C]0.94[/C][C]75.3370066857662[/C][C]0.287277065802154[/C][/ROW]
[ROW][C]0.95[/C][C]75.4679883678832[/C][C]0.319144394294291[/C][/ROW]
[ROW][C]0.96[/C][C]75.6111976588261[/C][C]0.332621911052086[/C][/ROW]
[ROW][C]0.97[/C][C]75.7541962743598[/C][C]0.297349394327242[/C][/ROW]
[ROW][C]0.98[/C][C]75.8784667613548[/C][C]0.211723184749204[/C][/ROW]
[ROW][C]0.99[/C][C]75.9667883786836[/C][C]0.119008369401494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239410&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
0.0170.29811543274750.0237515170781994
0.0270.317234164050.0495722448104736
0.0370.34604326855610.068834113529402
0.0470.38160664801310.0857717475607878
0.0570.42180731671740.103765327147333
0.0670.46551387911380.12051036839239
0.0770.51186131265570.133428742819714
0.0870.55994922847720.142847483615145
0.0970.60904068309340.151118478233644
0.170.65877779400910.160437198573073
0.1170.70911515401830.170963084952145
0.1270.76003014664540.180873969021728
0.1370.81123198900460.187847979253598
0.1470.86203914191450.189935081384445
0.1570.91145973453780.186151927488619
0.1670.95840470068540.177043041580882
0.1771.00192840918080.163804637437852
0.1871.04141275808350.148387491859279
0.1971.07665550333110.132726084695832
0.271.10786496254520.11863915751193
0.2171.13558791245070.107446551456534
0.2271.16060428345130.100252270728258
0.2371.18381666684440.0974350926478795
0.2471.20615192526440.0989663690757089
0.2571.22848211819150.104485450928031
0.2671.25156556801460.11318656002412
0.2771.27600660736810.124204127899986
0.2871.30223301925140.136513620287798
0.2971.33049143913560.149223890753491
0.371.36086141341940.161462093724004
0.3171.39328768613120.172746632289195
0.3271.42762786901270.182738578194677
0.3371.46370983447270.19153214094062
0.3471.50139099261710.199809609602995
0.3571.54061080902660.207976516327603
0.3671.58142870583910.216978435450645
0.3771.62404159823510.22793882830105
0.3871.66877821264140.241228669415795
0.3971.71607044880690.257596105314688
0.471.76640496233340.277286001096961
0.4171.82026060452450.299781924051654
0.4271.87803920726780.324332206774284
0.4371.93999828947010.349883383163013
0.4472.00619440019540.375024109443603
0.4572.07644483006880.398245069235505
0.4672.15031327493590.417991116392425
0.4772.22712192048180.432811010951352
0.4872.30598879871970.441996786987106
0.4972.38588580097480.444693194275852
0.572.46571008975070.441028101843492
0.5172.54436032909370.430982065554721
0.5272.62080932487350.415337450442652
0.5372.69416615076910.395175028990131
0.5472.76372317159070.371496904545568
0.5572.82898597790590.345602878590544
0.5672.88968657630650.318846492538603
0.5772.94578187305060.292243576292003
0.5872.99744040550820.26701941813115
0.5973.0450204788760.244147880292489
0.673.08904255007560.224455974272883
0.6173.1301581085840.208576216096712
0.6273.1691166525090.197067053083398
0.6373.20673179731680.190110017708233
0.6473.24384715519120.187839582584066
0.6573.28130239216370.190154294141174
0.6673.31989978225010.196514216995009
0.6773.36037160707720.206429324467465
0.6873.40334888889380.219104846036036
0.6973.449332201290.233797984882975
0.773.49866567126860.249482821864414
0.7173.55151572981580.265211596039725
0.7273.60785661858740.279959150085502
0.7373.66746507074560.292770572678015
0.7473.72992699071990.302791599021401
0.7573.7946594850210.309200166509998
0.7673.86095231789330.311526771569253
0.7773.92803350052620.309605418500465
0.7873.99516328332340.303741754874085
0.7974.06175749954410.294500559551751
0.874.12753287040.283330558017281
0.8174.19265240397740.272324374951231
0.8274.25783029844630.264109539495807
0.8374.32433954448880.26177212109039
0.8474.39386353643260.267554005183998
0.8574.46815935599670.281762508829904
0.8674.54856403704850.301721407949518
0.8774.63547053666090.321994027509092
0.8874.72799844491570.335785754527682
0.8974.82413092605740.33723645404192
0.974.92151276476260.324143586342816
0.9175.01884377009710.300246096830104
0.9275.11735874217120.276478094426895
0.9375.22140705624270.268920608941085
0.9475.33700668576620.287277065802154
0.9575.46798836788320.319144394294291
0.9675.61119765882610.332621911052086
0.9775.75419627435980.297349394327242
0.9875.87846676135480.211723184749204
0.9975.96678837868360.119008369401494


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')