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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 computationSat, 11 Mar 2017 19:30:54 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/11/t148926081504lho1evhh5sqpp.htm/, Retrieved Tue, 14 May 2024 09:26:04 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 09:26:04 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
584302
221901
252972
109429
306752
119246
129566
57940
277550
102655
123406
51489
118487
49140
54874
14472
65112
28389
29148
7575
53375
20751
25726
6897
333776
119850
140239
73686
173658
63922
71367
38369
160117
55928
68872
35318
132040
52910
57858
21271
67982
26934
29051
11997
64058
25976
28807
9274

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

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

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017118.63719632939898.107552954876
0.027538.828632614121375.99452433347
0.038157.72797340592010.53957094356
0.048962.296407942492705.02671207165
0.059933.213560375513393.95851797754
0.0611046.57130673474031.43724318337
0.0712274.10480440054580.4434403085
0.0813583.89783514695010.51459273971
0.0914941.95885929665300.81779498333
0.116314.40339082825443.78762258846
0.1117669.82225474815446.55853580443
0.1218981.43808752965329.19491052974
0.1320228.7439695135120.93792848345
0.1421398.45422617864855.8710748398
0.1522484.74809526414569.17945803581
0.1623488.90957308814294.92728248747
0.1724418.53125045994065.06870535639
0.1825286.45308835913909.02194714419
0.1926109.56803295663852.67644139224
0.226907.57285346343916.11357125484
0.2127701.69817478134110.37107727251
0.2228513.42924169694435.30366871477
0.2329363.23018842174879.72525666959
0.2430269.303123215423.03605921283
0.2531246.4388786576037.75705250616
0.2632305.03823460076691.34374612936
0.2733450.39243075367348.48277031406
0.2834682.30513382197973.11055991179
0.2935995.11412283718530.90119319139
0.337378.13306698438991.97468028987
0.3138816.48808633219332.99098166321
0.3240292.27806999519539.10956867444
0.3341785.94973956379605.08128800997
0.3443277.75447138889535.34801737787
0.3544749.14763374539343.17977165765
0.3646184.00324802999049.3629913665
0.3747569.54472947158680.08554118089
0.3848896.93152127038264.53320747882
0.3950161.48547041067832.43625471888
0.451362.58344034837412.0362597651
0.4152503.27834155317027.96135631823
0.4253589.73543414726699.94058625265
0.4354630.58225428546442.17763955219
0.4455636.26856770966263.3760630349
0.4556618.5187097936167.57045903317
0.4657589.9350676266155.9334366008
0.4758563.78155201146228.75006082052
0.4859553.94326611626387.61863552624
0.4960575.0267949776636.72529489618
0.561642.53804437036983.75139084573
0.5162773.05449063687439.21208321916
0.5263984.29879319578014.72252751649
0.5365295.02309025678720.83343945216
0.5466724.62917024579563.74853495481
0.5568292.479045211610542.6213788703
0.5670016.891565382311647.0263224777
0.5771913.870020089212855.5504907822
0.5873995.657669202514135.243257182
0.5976269.265787807915442.4274307504
0.678735.154272084116724.7173187465
0.6181386.260759193517924.4127802417
0.6284207.565018637518982.6238783795
0.6387176.338775075819844.6297163593
0.6490263.169088706820464.8747255412
0.6593433.762527827120812.6048077247
0.6696651.448247766820875.3459834684
0.6799880.213899602620662.1401844242
0.68103088.04242290820204.7029824785
0.69106250.28118244819556.4038511956
0.7109352.7736093818790.4935321828
0.71112394.51686446317996.7525663444
0.72115389.66928270917276.9588401909
0.73118368.8046161916740.1008053839
0.74121379.37890290616495.2883653751
0.75124485.42275789916643.2704596832
0.76127766.4839560917266.0773885491
0.77131315.81790136818419.2045105695
0.78135237.76461414520128.6265651229
0.79139644.18195301222390.9954302023
0.8144649.76114837325175.1014747777
0.81150366.07695158428419.4191331384
0.82156894.36640903232027.2527682843
0.83164317.32274290435861.4642656768
0.84172690.64947036239742.273243884
0.85182035.74313743443452.4474579534
0.86192335.67333383946752.1627188329
0.87203537.7031972749405.3131525483
0.88215567.21295427851217.9370348267
0.89228360.48500230352086.0210091756
0.9241927.55156667752056.3248881971
0.91256459.71813109951409.8913737795
0.92272493.46861946550810.8399595582
0.93291119.05616828151598.8470751096
0.94314155.78200727256224.4828755141
0.95344090.93184933168271.562353205
0.96383431.48045172591125.792552686
0.97433108.840012806125856.259310305
0.98490028.757690103169401.056239465
0.99545058.052953528213352.348295257

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7118.63719632939 & 898.107552954876 \tabularnewline
0.02 & 7538.82863261412 & 1375.99452433347 \tabularnewline
0.03 & 8157.7279734059 & 2010.53957094356 \tabularnewline
0.04 & 8962.29640794249 & 2705.02671207165 \tabularnewline
0.05 & 9933.21356037551 & 3393.95851797754 \tabularnewline
0.06 & 11046.5713067347 & 4031.43724318337 \tabularnewline
0.07 & 12274.1048044005 & 4580.4434403085 \tabularnewline
0.08 & 13583.8978351469 & 5010.51459273971 \tabularnewline
0.09 & 14941.9588592966 & 5300.81779498333 \tabularnewline
0.1 & 16314.4033908282 & 5443.78762258846 \tabularnewline
0.11 & 17669.8222547481 & 5446.55853580443 \tabularnewline
0.12 & 18981.4380875296 & 5329.19491052974 \tabularnewline
0.13 & 20228.743969513 & 5120.93792848345 \tabularnewline
0.14 & 21398.4542261786 & 4855.8710748398 \tabularnewline
0.15 & 22484.7480952641 & 4569.17945803581 \tabularnewline
0.16 & 23488.9095730881 & 4294.92728248747 \tabularnewline
0.17 & 24418.5312504599 & 4065.06870535639 \tabularnewline
0.18 & 25286.4530883591 & 3909.02194714419 \tabularnewline
0.19 & 26109.5680329566 & 3852.67644139224 \tabularnewline
0.2 & 26907.5728534634 & 3916.11357125484 \tabularnewline
0.21 & 27701.6981747813 & 4110.37107727251 \tabularnewline
0.22 & 28513.4292416969 & 4435.30366871477 \tabularnewline
0.23 & 29363.2301884217 & 4879.72525666959 \tabularnewline
0.24 & 30269.30312321 & 5423.03605921283 \tabularnewline
0.25 & 31246.438878657 & 6037.75705250616 \tabularnewline
0.26 & 32305.0382346007 & 6691.34374612936 \tabularnewline
0.27 & 33450.3924307536 & 7348.48277031406 \tabularnewline
0.28 & 34682.3051338219 & 7973.11055991179 \tabularnewline
0.29 & 35995.1141228371 & 8530.90119319139 \tabularnewline
0.3 & 37378.1330669843 & 8991.97468028987 \tabularnewline
0.31 & 38816.4880863321 & 9332.99098166321 \tabularnewline
0.32 & 40292.2780699951 & 9539.10956867444 \tabularnewline
0.33 & 41785.9497395637 & 9605.08128800997 \tabularnewline
0.34 & 43277.7544713888 & 9535.34801737787 \tabularnewline
0.35 & 44749.1476337453 & 9343.17977165765 \tabularnewline
0.36 & 46184.0032480299 & 9049.3629913665 \tabularnewline
0.37 & 47569.5447294715 & 8680.08554118089 \tabularnewline
0.38 & 48896.9315212703 & 8264.53320747882 \tabularnewline
0.39 & 50161.4854704106 & 7832.43625471888 \tabularnewline
0.4 & 51362.5834403483 & 7412.0362597651 \tabularnewline
0.41 & 52503.2783415531 & 7027.96135631823 \tabularnewline
0.42 & 53589.7354341472 & 6699.94058625265 \tabularnewline
0.43 & 54630.5822542854 & 6442.17763955219 \tabularnewline
0.44 & 55636.2685677096 & 6263.3760630349 \tabularnewline
0.45 & 56618.518709793 & 6167.57045903317 \tabularnewline
0.46 & 57589.935067626 & 6155.9334366008 \tabularnewline
0.47 & 58563.7815520114 & 6228.75006082052 \tabularnewline
0.48 & 59553.9432661162 & 6387.61863552624 \tabularnewline
0.49 & 60575.026794977 & 6636.72529489618 \tabularnewline
0.5 & 61642.5380443703 & 6983.75139084573 \tabularnewline
0.51 & 62773.0544906368 & 7439.21208321916 \tabularnewline
0.52 & 63984.2987931957 & 8014.72252751649 \tabularnewline
0.53 & 65295.0230902567 & 8720.83343945216 \tabularnewline
0.54 & 66724.6291702457 & 9563.74853495481 \tabularnewline
0.55 & 68292.4790452116 & 10542.6213788703 \tabularnewline
0.56 & 70016.8915653823 & 11647.0263224777 \tabularnewline
0.57 & 71913.8700200892 & 12855.5504907822 \tabularnewline
0.58 & 73995.6576692025 & 14135.243257182 \tabularnewline
0.59 & 76269.2657878079 & 15442.4274307504 \tabularnewline
0.6 & 78735.1542720841 & 16724.7173187465 \tabularnewline
0.61 & 81386.2607591935 & 17924.4127802417 \tabularnewline
0.62 & 84207.5650186375 & 18982.6238783795 \tabularnewline
0.63 & 87176.3387750758 & 19844.6297163593 \tabularnewline
0.64 & 90263.1690887068 & 20464.8747255412 \tabularnewline
0.65 & 93433.7625278271 & 20812.6048077247 \tabularnewline
0.66 & 96651.4482477668 & 20875.3459834684 \tabularnewline
0.67 & 99880.2138996026 & 20662.1401844242 \tabularnewline
0.68 & 103088.042422908 & 20204.7029824785 \tabularnewline
0.69 & 106250.281182448 & 19556.4038511956 \tabularnewline
0.7 & 109352.77360938 & 18790.4935321828 \tabularnewline
0.71 & 112394.516864463 & 17996.7525663444 \tabularnewline
0.72 & 115389.669282709 & 17276.9588401909 \tabularnewline
0.73 & 118368.80461619 & 16740.1008053839 \tabularnewline
0.74 & 121379.378902906 & 16495.2883653751 \tabularnewline
0.75 & 124485.422757899 & 16643.2704596832 \tabularnewline
0.76 & 127766.48395609 & 17266.0773885491 \tabularnewline
0.77 & 131315.817901368 & 18419.2045105695 \tabularnewline
0.78 & 135237.764614145 & 20128.6265651229 \tabularnewline
0.79 & 139644.181953012 & 22390.9954302023 \tabularnewline
0.8 & 144649.761148373 & 25175.1014747777 \tabularnewline
0.81 & 150366.076951584 & 28419.4191331384 \tabularnewline
0.82 & 156894.366409032 & 32027.2527682843 \tabularnewline
0.83 & 164317.322742904 & 35861.4642656768 \tabularnewline
0.84 & 172690.649470362 & 39742.273243884 \tabularnewline
0.85 & 182035.743137434 & 43452.4474579534 \tabularnewline
0.86 & 192335.673333839 & 46752.1627188329 \tabularnewline
0.87 & 203537.70319727 & 49405.3131525483 \tabularnewline
0.88 & 215567.212954278 & 51217.9370348267 \tabularnewline
0.89 & 228360.485002303 & 52086.0210091756 \tabularnewline
0.9 & 241927.551566677 & 52056.3248881971 \tabularnewline
0.91 & 256459.718131099 & 51409.8913737795 \tabularnewline
0.92 & 272493.468619465 & 50810.8399595582 \tabularnewline
0.93 & 291119.056168281 & 51598.8470751096 \tabularnewline
0.94 & 314155.782007272 & 56224.4828755141 \tabularnewline
0.95 & 344090.931849331 & 68271.562353205 \tabularnewline
0.96 & 383431.480451725 & 91125.792552686 \tabularnewline
0.97 & 433108.840012806 & 125856.259310305 \tabularnewline
0.98 & 490028.757690103 & 169401.056239465 \tabularnewline
0.99 & 545058.052953528 & 213352.348295257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]7118.63719632939[/C][C]898.107552954876[/C][/ROW]
[ROW][C]0.02[/C][C]7538.82863261412[/C][C]1375.99452433347[/C][/ROW]
[ROW][C]0.03[/C][C]8157.7279734059[/C][C]2010.53957094356[/C][/ROW]
[ROW][C]0.04[/C][C]8962.29640794249[/C][C]2705.02671207165[/C][/ROW]
[ROW][C]0.05[/C][C]9933.21356037551[/C][C]3393.95851797754[/C][/ROW]
[ROW][C]0.06[/C][C]11046.5713067347[/C][C]4031.43724318337[/C][/ROW]
[ROW][C]0.07[/C][C]12274.1048044005[/C][C]4580.4434403085[/C][/ROW]
[ROW][C]0.08[/C][C]13583.8978351469[/C][C]5010.51459273971[/C][/ROW]
[ROW][C]0.09[/C][C]14941.9588592966[/C][C]5300.81779498333[/C][/ROW]
[ROW][C]0.1[/C][C]16314.4033908282[/C][C]5443.78762258846[/C][/ROW]
[ROW][C]0.11[/C][C]17669.8222547481[/C][C]5446.55853580443[/C][/ROW]
[ROW][C]0.12[/C][C]18981.4380875296[/C][C]5329.19491052974[/C][/ROW]
[ROW][C]0.13[/C][C]20228.743969513[/C][C]5120.93792848345[/C][/ROW]
[ROW][C]0.14[/C][C]21398.4542261786[/C][C]4855.8710748398[/C][/ROW]
[ROW][C]0.15[/C][C]22484.7480952641[/C][C]4569.17945803581[/C][/ROW]
[ROW][C]0.16[/C][C]23488.9095730881[/C][C]4294.92728248747[/C][/ROW]
[ROW][C]0.17[/C][C]24418.5312504599[/C][C]4065.06870535639[/C][/ROW]
[ROW][C]0.18[/C][C]25286.4530883591[/C][C]3909.02194714419[/C][/ROW]
[ROW][C]0.19[/C][C]26109.5680329566[/C][C]3852.67644139224[/C][/ROW]
[ROW][C]0.2[/C][C]26907.5728534634[/C][C]3916.11357125484[/C][/ROW]
[ROW][C]0.21[/C][C]27701.6981747813[/C][C]4110.37107727251[/C][/ROW]
[ROW][C]0.22[/C][C]28513.4292416969[/C][C]4435.30366871477[/C][/ROW]
[ROW][C]0.23[/C][C]29363.2301884217[/C][C]4879.72525666959[/C][/ROW]
[ROW][C]0.24[/C][C]30269.30312321[/C][C]5423.03605921283[/C][/ROW]
[ROW][C]0.25[/C][C]31246.438878657[/C][C]6037.75705250616[/C][/ROW]
[ROW][C]0.26[/C][C]32305.0382346007[/C][C]6691.34374612936[/C][/ROW]
[ROW][C]0.27[/C][C]33450.3924307536[/C][C]7348.48277031406[/C][/ROW]
[ROW][C]0.28[/C][C]34682.3051338219[/C][C]7973.11055991179[/C][/ROW]
[ROW][C]0.29[/C][C]35995.1141228371[/C][C]8530.90119319139[/C][/ROW]
[ROW][C]0.3[/C][C]37378.1330669843[/C][C]8991.97468028987[/C][/ROW]
[ROW][C]0.31[/C][C]38816.4880863321[/C][C]9332.99098166321[/C][/ROW]
[ROW][C]0.32[/C][C]40292.2780699951[/C][C]9539.10956867444[/C][/ROW]
[ROW][C]0.33[/C][C]41785.9497395637[/C][C]9605.08128800997[/C][/ROW]
[ROW][C]0.34[/C][C]43277.7544713888[/C][C]9535.34801737787[/C][/ROW]
[ROW][C]0.35[/C][C]44749.1476337453[/C][C]9343.17977165765[/C][/ROW]
[ROW][C]0.36[/C][C]46184.0032480299[/C][C]9049.3629913665[/C][/ROW]
[ROW][C]0.37[/C][C]47569.5447294715[/C][C]8680.08554118089[/C][/ROW]
[ROW][C]0.38[/C][C]48896.9315212703[/C][C]8264.53320747882[/C][/ROW]
[ROW][C]0.39[/C][C]50161.4854704106[/C][C]7832.43625471888[/C][/ROW]
[ROW][C]0.4[/C][C]51362.5834403483[/C][C]7412.0362597651[/C][/ROW]
[ROW][C]0.41[/C][C]52503.2783415531[/C][C]7027.96135631823[/C][/ROW]
[ROW][C]0.42[/C][C]53589.7354341472[/C][C]6699.94058625265[/C][/ROW]
[ROW][C]0.43[/C][C]54630.5822542854[/C][C]6442.17763955219[/C][/ROW]
[ROW][C]0.44[/C][C]55636.2685677096[/C][C]6263.3760630349[/C][/ROW]
[ROW][C]0.45[/C][C]56618.518709793[/C][C]6167.57045903317[/C][/ROW]
[ROW][C]0.46[/C][C]57589.935067626[/C][C]6155.9334366008[/C][/ROW]
[ROW][C]0.47[/C][C]58563.7815520114[/C][C]6228.75006082052[/C][/ROW]
[ROW][C]0.48[/C][C]59553.9432661162[/C][C]6387.61863552624[/C][/ROW]
[ROW][C]0.49[/C][C]60575.026794977[/C][C]6636.72529489618[/C][/ROW]
[ROW][C]0.5[/C][C]61642.5380443703[/C][C]6983.75139084573[/C][/ROW]
[ROW][C]0.51[/C][C]62773.0544906368[/C][C]7439.21208321916[/C][/ROW]
[ROW][C]0.52[/C][C]63984.2987931957[/C][C]8014.72252751649[/C][/ROW]
[ROW][C]0.53[/C][C]65295.0230902567[/C][C]8720.83343945216[/C][/ROW]
[ROW][C]0.54[/C][C]66724.6291702457[/C][C]9563.74853495481[/C][/ROW]
[ROW][C]0.55[/C][C]68292.4790452116[/C][C]10542.6213788703[/C][/ROW]
[ROW][C]0.56[/C][C]70016.8915653823[/C][C]11647.0263224777[/C][/ROW]
[ROW][C]0.57[/C][C]71913.8700200892[/C][C]12855.5504907822[/C][/ROW]
[ROW][C]0.58[/C][C]73995.6576692025[/C][C]14135.243257182[/C][/ROW]
[ROW][C]0.59[/C][C]76269.2657878079[/C][C]15442.4274307504[/C][/ROW]
[ROW][C]0.6[/C][C]78735.1542720841[/C][C]16724.7173187465[/C][/ROW]
[ROW][C]0.61[/C][C]81386.2607591935[/C][C]17924.4127802417[/C][/ROW]
[ROW][C]0.62[/C][C]84207.5650186375[/C][C]18982.6238783795[/C][/ROW]
[ROW][C]0.63[/C][C]87176.3387750758[/C][C]19844.6297163593[/C][/ROW]
[ROW][C]0.64[/C][C]90263.1690887068[/C][C]20464.8747255412[/C][/ROW]
[ROW][C]0.65[/C][C]93433.7625278271[/C][C]20812.6048077247[/C][/ROW]
[ROW][C]0.66[/C][C]96651.4482477668[/C][C]20875.3459834684[/C][/ROW]
[ROW][C]0.67[/C][C]99880.2138996026[/C][C]20662.1401844242[/C][/ROW]
[ROW][C]0.68[/C][C]103088.042422908[/C][C]20204.7029824785[/C][/ROW]
[ROW][C]0.69[/C][C]106250.281182448[/C][C]19556.4038511956[/C][/ROW]
[ROW][C]0.7[/C][C]109352.77360938[/C][C]18790.4935321828[/C][/ROW]
[ROW][C]0.71[/C][C]112394.516864463[/C][C]17996.7525663444[/C][/ROW]
[ROW][C]0.72[/C][C]115389.669282709[/C][C]17276.9588401909[/C][/ROW]
[ROW][C]0.73[/C][C]118368.80461619[/C][C]16740.1008053839[/C][/ROW]
[ROW][C]0.74[/C][C]121379.378902906[/C][C]16495.2883653751[/C][/ROW]
[ROW][C]0.75[/C][C]124485.422757899[/C][C]16643.2704596832[/C][/ROW]
[ROW][C]0.76[/C][C]127766.48395609[/C][C]17266.0773885491[/C][/ROW]
[ROW][C]0.77[/C][C]131315.817901368[/C][C]18419.2045105695[/C][/ROW]
[ROW][C]0.78[/C][C]135237.764614145[/C][C]20128.6265651229[/C][/ROW]
[ROW][C]0.79[/C][C]139644.181953012[/C][C]22390.9954302023[/C][/ROW]
[ROW][C]0.8[/C][C]144649.761148373[/C][C]25175.1014747777[/C][/ROW]
[ROW][C]0.81[/C][C]150366.076951584[/C][C]28419.4191331384[/C][/ROW]
[ROW][C]0.82[/C][C]156894.366409032[/C][C]32027.2527682843[/C][/ROW]
[ROW][C]0.83[/C][C]164317.322742904[/C][C]35861.4642656768[/C][/ROW]
[ROW][C]0.84[/C][C]172690.649470362[/C][C]39742.273243884[/C][/ROW]
[ROW][C]0.85[/C][C]182035.743137434[/C][C]43452.4474579534[/C][/ROW]
[ROW][C]0.86[/C][C]192335.673333839[/C][C]46752.1627188329[/C][/ROW]
[ROW][C]0.87[/C][C]203537.70319727[/C][C]49405.3131525483[/C][/ROW]
[ROW][C]0.88[/C][C]215567.212954278[/C][C]51217.9370348267[/C][/ROW]
[ROW][C]0.89[/C][C]228360.485002303[/C][C]52086.0210091756[/C][/ROW]
[ROW][C]0.9[/C][C]241927.551566677[/C][C]52056.3248881971[/C][/ROW]
[ROW][C]0.91[/C][C]256459.718131099[/C][C]51409.8913737795[/C][/ROW]
[ROW][C]0.92[/C][C]272493.468619465[/C][C]50810.8399595582[/C][/ROW]
[ROW][C]0.93[/C][C]291119.056168281[/C][C]51598.8470751096[/C][/ROW]
[ROW][C]0.94[/C][C]314155.782007272[/C][C]56224.4828755141[/C][/ROW]
[ROW][C]0.95[/C][C]344090.931849331[/C][C]68271.562353205[/C][/ROW]
[ROW][C]0.96[/C][C]383431.480451725[/C][C]91125.792552686[/C][/ROW]
[ROW][C]0.97[/C][C]433108.840012806[/C][C]125856.259310305[/C][/ROW]
[ROW][C]0.98[/C][C]490028.757690103[/C][C]169401.056239465[/C][/ROW]
[ROW][C]0.99[/C][C]545058.052953528[/C][C]213352.348295257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.017118.63719632939898.107552954876
0.027538.828632614121375.99452433347
0.038157.72797340592010.53957094356
0.048962.296407942492705.02671207165
0.059933.213560375513393.95851797754
0.0611046.57130673474031.43724318337
0.0712274.10480440054580.4434403085
0.0813583.89783514695010.51459273971
0.0914941.95885929665300.81779498333
0.116314.40339082825443.78762258846
0.1117669.82225474815446.55853580443
0.1218981.43808752965329.19491052974
0.1320228.7439695135120.93792848345
0.1421398.45422617864855.8710748398
0.1522484.74809526414569.17945803581
0.1623488.90957308814294.92728248747
0.1724418.53125045994065.06870535639
0.1825286.45308835913909.02194714419
0.1926109.56803295663852.67644139224
0.226907.57285346343916.11357125484
0.2127701.69817478134110.37107727251
0.2228513.42924169694435.30366871477
0.2329363.23018842174879.72525666959
0.2430269.303123215423.03605921283
0.2531246.4388786576037.75705250616
0.2632305.03823460076691.34374612936
0.2733450.39243075367348.48277031406
0.2834682.30513382197973.11055991179
0.2935995.11412283718530.90119319139
0.337378.13306698438991.97468028987
0.3138816.48808633219332.99098166321
0.3240292.27806999519539.10956867444
0.3341785.94973956379605.08128800997
0.3443277.75447138889535.34801737787
0.3544749.14763374539343.17977165765
0.3646184.00324802999049.3629913665
0.3747569.54472947158680.08554118089
0.3848896.93152127038264.53320747882
0.3950161.48547041067832.43625471888
0.451362.58344034837412.0362597651
0.4152503.27834155317027.96135631823
0.4253589.73543414726699.94058625265
0.4354630.58225428546442.17763955219
0.4455636.26856770966263.3760630349
0.4556618.5187097936167.57045903317
0.4657589.9350676266155.9334366008
0.4758563.78155201146228.75006082052
0.4859553.94326611626387.61863552624
0.4960575.0267949776636.72529489618
0.561642.53804437036983.75139084573
0.5162773.05449063687439.21208321916
0.5263984.29879319578014.72252751649
0.5365295.02309025678720.83343945216
0.5466724.62917024579563.74853495481
0.5568292.479045211610542.6213788703
0.5670016.891565382311647.0263224777
0.5771913.870020089212855.5504907822
0.5873995.657669202514135.243257182
0.5976269.265787807915442.4274307504
0.678735.154272084116724.7173187465
0.6181386.260759193517924.4127802417
0.6284207.565018637518982.6238783795
0.6387176.338775075819844.6297163593
0.6490263.169088706820464.8747255412
0.6593433.762527827120812.6048077247
0.6696651.448247766820875.3459834684
0.6799880.213899602620662.1401844242
0.68103088.04242290820204.7029824785
0.69106250.28118244819556.4038511956
0.7109352.7736093818790.4935321828
0.71112394.51686446317996.7525663444
0.72115389.66928270917276.9588401909
0.73118368.8046161916740.1008053839
0.74121379.37890290616495.2883653751
0.75124485.42275789916643.2704596832
0.76127766.4839560917266.0773885491
0.77131315.81790136818419.2045105695
0.78135237.76461414520128.6265651229
0.79139644.18195301222390.9954302023
0.8144649.76114837325175.1014747777
0.81150366.07695158428419.4191331384
0.82156894.36640903232027.2527682843
0.83164317.32274290435861.4642656768
0.84172690.64947036239742.273243884
0.85182035.74313743443452.4474579534
0.86192335.67333383946752.1627188329
0.87203537.7031972749405.3131525483
0.88215567.21295427851217.9370348267
0.89228360.48500230352086.0210091756
0.9241927.55156667752056.3248881971
0.91256459.71813109951409.8913737795
0.92272493.46861946550810.8399595582
0.93291119.05616828151598.8470751096
0.94314155.78200727256224.4828755141
0.95344090.93184933168271.562353205
0.96383431.48045172591125.792552686
0.97433108.840012806125856.259310305
0.98490028.757690103169401.056239465
0.99545058.052953528213352.348295257


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')