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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 18:55:24 +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/t1489258624ei06j24f8veravw.htm/, Retrieved Fri, 17 May 2024 23:51:12 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 23:51:12 +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 
101.16
100.81
100.94
101.13
101.29
101.34
101.35
101.7
102.05
102.48
102.66
102.72
102.73
102.18
102.22
102.37
102.53
102.61
102.62
103
103.17
103.52
103.69
103.73
99.57
99.09
99.14
99.36
99.6
99.65
99.8
100.15
100.45
100.89
101.13
101.17
101.21
101.1
101.17
101.11
101.2
101.15
100.92
101.1
101.22
101.25
101.39
101.43
101.95
101.92
102.05
102.07
102.1
102.16
101.63
101.43
101.4
101.6
101.72
101.73
102.67
102.59
102.69
102.93
103.02
103.06
102.47
102.4
102.42
102.51
102.61
102.78

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
099.09NA
0.0199.12577495738820.0984640711174518
0.0299.19674101831060.16361071699009
0.0399.29113367600810.205174186680549
0.0499.39536015295250.224012357603221
0.0599.50148158716780.241129897882661
0.0699.60851805349620.274035260079977
0.0799.71969285499210.324397679279534
0.0899.8386172768010.381878230009445
0.0999.96658922543080.432734511861212
0.1100.1017370464390.466398197540881
0.11100.239665680160.476998895308678
0.12100.3748392733390.464597845638757
0.13100.501989975610.433002910691706
0.14100.6171138890730.388533706175049
0.15100.7179091414630.337997950902775
0.16100.8037270809690.287127048362531
0.17100.8752155919180.239934026828577
0.18100.933847439360.198626647738439
0.19100.9814810216890.163889178482977
0.2101.020033334240.135333148356456
0.21101.051283847060.112317982645284
0.22101.0767882306450.0941714384499667
0.23101.097864625470.0801360275594198
0.24101.1156165373120.0697559160028356
0.25101.1309667725960.0626327353695563
0.26101.1446886920040.0586066999963586
0.27101.157430160960.0570679777803373
0.28101.1697306784870.0579232372717935
0.29101.1820339941350.0604887091689543
0.3101.1946984891120.0645292374172809
0.31101.2080069208590.0696628864995246
0.32101.2221764796340.0754197321766234
0.33101.2373696499940.0820560141217603
0.34101.2537060101810.0889666012609421
0.35101.2712747041620.0963744789056998
0.36101.2901468527720.103806466099063
0.37101.310386726760.111729392130832
0.38101.3320602501840.119908974772872
0.39101.3552394832430.128743313075977
0.4101.3800022000350.138004851213348
0.41101.4064264515940.147779369025359
0.42101.4345809018080.158038601809991
0.43101.4645125108790.168364532072136
0.44101.4962336185660.178757829016887
0.45101.5297105479790.18881547134408
0.46101.5648555376740.198101810507243
0.47101.6015232470870.20641638288729
0.48101.6395124431990.21328741235958
0.49101.6785729092760.218534784295544
0.5101.7184171798680.222057242983399
0.51101.7587363659230.223755919576757
0.52101.7992189998590.223469162814568
0.53101.8395714252220.221491657240082
0.54101.8795377806110.218195736260165
0.55101.9189171945030.213594664880088
0.56101.957575615130.208445947614775
0.57101.9954499599960.202990795673235
0.58102.0325431129360.197806504827033
0.59102.0689096885590.193111752942473
0.6102.1046341960740.189164549759311
0.61102.139804881910.185790183365809
0.62102.1744876719110.182886976707522
0.63102.2087049048920.180040556026921
0.64102.2424227850270.176812486469151
0.65102.2755497885690.17291255209271
0.66102.3079460136030.16796453591878
0.67102.339441209770.161865057294936
0.68102.3698575445590.154759656570839
0.69102.3990324886470.146740623314811
0.7102.42683769310.138091798809229
0.71102.4531912133680.129084799339111
0.72102.478062454960.12020634592334
0.73102.5014711834590.111580516508142
0.74102.5234833248830.103503485944003
0.75102.5442067795850.0960422300170431
0.76102.5637900897110.0892614423937504
0.77102.5824257905770.0835012907789885
0.78102.6003589606620.0788257160530173
0.79102.617900034840.0755065633858642
0.8102.6354392727060.0738115746533766
0.81102.653458161310.0741342095423157
0.82102.6725305563880.0769246238041006
0.83102.6933044838840.0823269684906538
0.84102.7164564537490.0903335187053368
0.85102.7426170189280.100567154454326
0.86102.7722816489980.112013848991621
0.87102.8057438498150.123230267801444
0.88102.8431102038720.13291377154192
0.89102.8844632683430.140155318032169
0.9102.9302048237580.14554452779791
0.91102.981517575730.151760489098986
0.92103.0407277442250.163370155713832
0.93103.1111838297880.184583604685756
0.94103.1962161361420.214590853921307
0.95103.2970016940220.244385224820044
0.96103.4098702311270.257436590575673
0.97103.5245632163440.236271453929104
0.98103.6254395357050.174906435569202
0.99103.6966412146830.0929134742429433
1103.73NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 99.09 & NA \tabularnewline
0.01 & 99.1257749573882 & 0.0984640711174518 \tabularnewline
0.02 & 99.1967410183106 & 0.16361071699009 \tabularnewline
0.03 & 99.2911336760081 & 0.205174186680549 \tabularnewline
0.04 & 99.3953601529525 & 0.224012357603221 \tabularnewline
0.05 & 99.5014815871678 & 0.241129897882661 \tabularnewline
0.06 & 99.6085180534962 & 0.274035260079977 \tabularnewline
0.07 & 99.7196928549921 & 0.324397679279534 \tabularnewline
0.08 & 99.838617276801 & 0.381878230009445 \tabularnewline
0.09 & 99.9665892254308 & 0.432734511861212 \tabularnewline
0.1 & 100.101737046439 & 0.466398197540881 \tabularnewline
0.11 & 100.23966568016 & 0.476998895308678 \tabularnewline
0.12 & 100.374839273339 & 0.464597845638757 \tabularnewline
0.13 & 100.50198997561 & 0.433002910691706 \tabularnewline
0.14 & 100.617113889073 & 0.388533706175049 \tabularnewline
0.15 & 100.717909141463 & 0.337997950902775 \tabularnewline
0.16 & 100.803727080969 & 0.287127048362531 \tabularnewline
0.17 & 100.875215591918 & 0.239934026828577 \tabularnewline
0.18 & 100.93384743936 & 0.198626647738439 \tabularnewline
0.19 & 100.981481021689 & 0.163889178482977 \tabularnewline
0.2 & 101.02003333424 & 0.135333148356456 \tabularnewline
0.21 & 101.05128384706 & 0.112317982645284 \tabularnewline
0.22 & 101.076788230645 & 0.0941714384499667 \tabularnewline
0.23 & 101.09786462547 & 0.0801360275594198 \tabularnewline
0.24 & 101.115616537312 & 0.0697559160028356 \tabularnewline
0.25 & 101.130966772596 & 0.0626327353695563 \tabularnewline
0.26 & 101.144688692004 & 0.0586066999963586 \tabularnewline
0.27 & 101.15743016096 & 0.0570679777803373 \tabularnewline
0.28 & 101.169730678487 & 0.0579232372717935 \tabularnewline
0.29 & 101.182033994135 & 0.0604887091689543 \tabularnewline
0.3 & 101.194698489112 & 0.0645292374172809 \tabularnewline
0.31 & 101.208006920859 & 0.0696628864995246 \tabularnewline
0.32 & 101.222176479634 & 0.0754197321766234 \tabularnewline
0.33 & 101.237369649994 & 0.0820560141217603 \tabularnewline
0.34 & 101.253706010181 & 0.0889666012609421 \tabularnewline
0.35 & 101.271274704162 & 0.0963744789056998 \tabularnewline
0.36 & 101.290146852772 & 0.103806466099063 \tabularnewline
0.37 & 101.31038672676 & 0.111729392130832 \tabularnewline
0.38 & 101.332060250184 & 0.119908974772872 \tabularnewline
0.39 & 101.355239483243 & 0.128743313075977 \tabularnewline
0.4 & 101.380002200035 & 0.138004851213348 \tabularnewline
0.41 & 101.406426451594 & 0.147779369025359 \tabularnewline
0.42 & 101.434580901808 & 0.158038601809991 \tabularnewline
0.43 & 101.464512510879 & 0.168364532072136 \tabularnewline
0.44 & 101.496233618566 & 0.178757829016887 \tabularnewline
0.45 & 101.529710547979 & 0.18881547134408 \tabularnewline
0.46 & 101.564855537674 & 0.198101810507243 \tabularnewline
0.47 & 101.601523247087 & 0.20641638288729 \tabularnewline
0.48 & 101.639512443199 & 0.21328741235958 \tabularnewline
0.49 & 101.678572909276 & 0.218534784295544 \tabularnewline
0.5 & 101.718417179868 & 0.222057242983399 \tabularnewline
0.51 & 101.758736365923 & 0.223755919576757 \tabularnewline
0.52 & 101.799218999859 & 0.223469162814568 \tabularnewline
0.53 & 101.839571425222 & 0.221491657240082 \tabularnewline
0.54 & 101.879537780611 & 0.218195736260165 \tabularnewline
0.55 & 101.918917194503 & 0.213594664880088 \tabularnewline
0.56 & 101.95757561513 & 0.208445947614775 \tabularnewline
0.57 & 101.995449959996 & 0.202990795673235 \tabularnewline
0.58 & 102.032543112936 & 0.197806504827033 \tabularnewline
0.59 & 102.068909688559 & 0.193111752942473 \tabularnewline
0.6 & 102.104634196074 & 0.189164549759311 \tabularnewline
0.61 & 102.13980488191 & 0.185790183365809 \tabularnewline
0.62 & 102.174487671911 & 0.182886976707522 \tabularnewline
0.63 & 102.208704904892 & 0.180040556026921 \tabularnewline
0.64 & 102.242422785027 & 0.176812486469151 \tabularnewline
0.65 & 102.275549788569 & 0.17291255209271 \tabularnewline
0.66 & 102.307946013603 & 0.16796453591878 \tabularnewline
0.67 & 102.33944120977 & 0.161865057294936 \tabularnewline
0.68 & 102.369857544559 & 0.154759656570839 \tabularnewline
0.69 & 102.399032488647 & 0.146740623314811 \tabularnewline
0.7 & 102.4268376931 & 0.138091798809229 \tabularnewline
0.71 & 102.453191213368 & 0.129084799339111 \tabularnewline
0.72 & 102.47806245496 & 0.12020634592334 \tabularnewline
0.73 & 102.501471183459 & 0.111580516508142 \tabularnewline
0.74 & 102.523483324883 & 0.103503485944003 \tabularnewline
0.75 & 102.544206779585 & 0.0960422300170431 \tabularnewline
0.76 & 102.563790089711 & 0.0892614423937504 \tabularnewline
0.77 & 102.582425790577 & 0.0835012907789885 \tabularnewline
0.78 & 102.600358960662 & 0.0788257160530173 \tabularnewline
0.79 & 102.61790003484 & 0.0755065633858642 \tabularnewline
0.8 & 102.635439272706 & 0.0738115746533766 \tabularnewline
0.81 & 102.65345816131 & 0.0741342095423157 \tabularnewline
0.82 & 102.672530556388 & 0.0769246238041006 \tabularnewline
0.83 & 102.693304483884 & 0.0823269684906538 \tabularnewline
0.84 & 102.716456453749 & 0.0903335187053368 \tabularnewline
0.85 & 102.742617018928 & 0.100567154454326 \tabularnewline
0.86 & 102.772281648998 & 0.112013848991621 \tabularnewline
0.87 & 102.805743849815 & 0.123230267801444 \tabularnewline
0.88 & 102.843110203872 & 0.13291377154192 \tabularnewline
0.89 & 102.884463268343 & 0.140155318032169 \tabularnewline
0.9 & 102.930204823758 & 0.14554452779791 \tabularnewline
0.91 & 102.98151757573 & 0.151760489098986 \tabularnewline
0.92 & 103.040727744225 & 0.163370155713832 \tabularnewline
0.93 & 103.111183829788 & 0.184583604685756 \tabularnewline
0.94 & 103.196216136142 & 0.214590853921307 \tabularnewline
0.95 & 103.297001694022 & 0.244385224820044 \tabularnewline
0.96 & 103.409870231127 & 0.257436590575673 \tabularnewline
0.97 & 103.524563216344 & 0.236271453929104 \tabularnewline
0.98 & 103.625439535705 & 0.174906435569202 \tabularnewline
0.99 & 103.696641214683 & 0.0929134742429433 \tabularnewline
1 & 103.73 & NA \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[/C][C]99.09[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]99.1257749573882[/C][C]0.0984640711174518[/C][/ROW]
[ROW][C]0.02[/C][C]99.1967410183106[/C][C]0.16361071699009[/C][/ROW]
[ROW][C]0.03[/C][C]99.2911336760081[/C][C]0.205174186680549[/C][/ROW]
[ROW][C]0.04[/C][C]99.3953601529525[/C][C]0.224012357603221[/C][/ROW]
[ROW][C]0.05[/C][C]99.5014815871678[/C][C]0.241129897882661[/C][/ROW]
[ROW][C]0.06[/C][C]99.6085180534962[/C][C]0.274035260079977[/C][/ROW]
[ROW][C]0.07[/C][C]99.7196928549921[/C][C]0.324397679279534[/C][/ROW]
[ROW][C]0.08[/C][C]99.838617276801[/C][C]0.381878230009445[/C][/ROW]
[ROW][C]0.09[/C][C]99.9665892254308[/C][C]0.432734511861212[/C][/ROW]
[ROW][C]0.1[/C][C]100.101737046439[/C][C]0.466398197540881[/C][/ROW]
[ROW][C]0.11[/C][C]100.23966568016[/C][C]0.476998895308678[/C][/ROW]
[ROW][C]0.12[/C][C]100.374839273339[/C][C]0.464597845638757[/C][/ROW]
[ROW][C]0.13[/C][C]100.50198997561[/C][C]0.433002910691706[/C][/ROW]
[ROW][C]0.14[/C][C]100.617113889073[/C][C]0.388533706175049[/C][/ROW]
[ROW][C]0.15[/C][C]100.717909141463[/C][C]0.337997950902775[/C][/ROW]
[ROW][C]0.16[/C][C]100.803727080969[/C][C]0.287127048362531[/C][/ROW]
[ROW][C]0.17[/C][C]100.875215591918[/C][C]0.239934026828577[/C][/ROW]
[ROW][C]0.18[/C][C]100.93384743936[/C][C]0.198626647738439[/C][/ROW]
[ROW][C]0.19[/C][C]100.981481021689[/C][C]0.163889178482977[/C][/ROW]
[ROW][C]0.2[/C][C]101.02003333424[/C][C]0.135333148356456[/C][/ROW]
[ROW][C]0.21[/C][C]101.05128384706[/C][C]0.112317982645284[/C][/ROW]
[ROW][C]0.22[/C][C]101.076788230645[/C][C]0.0941714384499667[/C][/ROW]
[ROW][C]0.23[/C][C]101.09786462547[/C][C]0.0801360275594198[/C][/ROW]
[ROW][C]0.24[/C][C]101.115616537312[/C][C]0.0697559160028356[/C][/ROW]
[ROW][C]0.25[/C][C]101.130966772596[/C][C]0.0626327353695563[/C][/ROW]
[ROW][C]0.26[/C][C]101.144688692004[/C][C]0.0586066999963586[/C][/ROW]
[ROW][C]0.27[/C][C]101.15743016096[/C][C]0.0570679777803373[/C][/ROW]
[ROW][C]0.28[/C][C]101.169730678487[/C][C]0.0579232372717935[/C][/ROW]
[ROW][C]0.29[/C][C]101.182033994135[/C][C]0.0604887091689543[/C][/ROW]
[ROW][C]0.3[/C][C]101.194698489112[/C][C]0.0645292374172809[/C][/ROW]
[ROW][C]0.31[/C][C]101.208006920859[/C][C]0.0696628864995246[/C][/ROW]
[ROW][C]0.32[/C][C]101.222176479634[/C][C]0.0754197321766234[/C][/ROW]
[ROW][C]0.33[/C][C]101.237369649994[/C][C]0.0820560141217603[/C][/ROW]
[ROW][C]0.34[/C][C]101.253706010181[/C][C]0.0889666012609421[/C][/ROW]
[ROW][C]0.35[/C][C]101.271274704162[/C][C]0.0963744789056998[/C][/ROW]
[ROW][C]0.36[/C][C]101.290146852772[/C][C]0.103806466099063[/C][/ROW]
[ROW][C]0.37[/C][C]101.31038672676[/C][C]0.111729392130832[/C][/ROW]
[ROW][C]0.38[/C][C]101.332060250184[/C][C]0.119908974772872[/C][/ROW]
[ROW][C]0.39[/C][C]101.355239483243[/C][C]0.128743313075977[/C][/ROW]
[ROW][C]0.4[/C][C]101.380002200035[/C][C]0.138004851213348[/C][/ROW]
[ROW][C]0.41[/C][C]101.406426451594[/C][C]0.147779369025359[/C][/ROW]
[ROW][C]0.42[/C][C]101.434580901808[/C][C]0.158038601809991[/C][/ROW]
[ROW][C]0.43[/C][C]101.464512510879[/C][C]0.168364532072136[/C][/ROW]
[ROW][C]0.44[/C][C]101.496233618566[/C][C]0.178757829016887[/C][/ROW]
[ROW][C]0.45[/C][C]101.529710547979[/C][C]0.18881547134408[/C][/ROW]
[ROW][C]0.46[/C][C]101.564855537674[/C][C]0.198101810507243[/C][/ROW]
[ROW][C]0.47[/C][C]101.601523247087[/C][C]0.20641638288729[/C][/ROW]
[ROW][C]0.48[/C][C]101.639512443199[/C][C]0.21328741235958[/C][/ROW]
[ROW][C]0.49[/C][C]101.678572909276[/C][C]0.218534784295544[/C][/ROW]
[ROW][C]0.5[/C][C]101.718417179868[/C][C]0.222057242983399[/C][/ROW]
[ROW][C]0.51[/C][C]101.758736365923[/C][C]0.223755919576757[/C][/ROW]
[ROW][C]0.52[/C][C]101.799218999859[/C][C]0.223469162814568[/C][/ROW]
[ROW][C]0.53[/C][C]101.839571425222[/C][C]0.221491657240082[/C][/ROW]
[ROW][C]0.54[/C][C]101.879537780611[/C][C]0.218195736260165[/C][/ROW]
[ROW][C]0.55[/C][C]101.918917194503[/C][C]0.213594664880088[/C][/ROW]
[ROW][C]0.56[/C][C]101.95757561513[/C][C]0.208445947614775[/C][/ROW]
[ROW][C]0.57[/C][C]101.995449959996[/C][C]0.202990795673235[/C][/ROW]
[ROW][C]0.58[/C][C]102.032543112936[/C][C]0.197806504827033[/C][/ROW]
[ROW][C]0.59[/C][C]102.068909688559[/C][C]0.193111752942473[/C][/ROW]
[ROW][C]0.6[/C][C]102.104634196074[/C][C]0.189164549759311[/C][/ROW]
[ROW][C]0.61[/C][C]102.13980488191[/C][C]0.185790183365809[/C][/ROW]
[ROW][C]0.62[/C][C]102.174487671911[/C][C]0.182886976707522[/C][/ROW]
[ROW][C]0.63[/C][C]102.208704904892[/C][C]0.180040556026921[/C][/ROW]
[ROW][C]0.64[/C][C]102.242422785027[/C][C]0.176812486469151[/C][/ROW]
[ROW][C]0.65[/C][C]102.275549788569[/C][C]0.17291255209271[/C][/ROW]
[ROW][C]0.66[/C][C]102.307946013603[/C][C]0.16796453591878[/C][/ROW]
[ROW][C]0.67[/C][C]102.33944120977[/C][C]0.161865057294936[/C][/ROW]
[ROW][C]0.68[/C][C]102.369857544559[/C][C]0.154759656570839[/C][/ROW]
[ROW][C]0.69[/C][C]102.399032488647[/C][C]0.146740623314811[/C][/ROW]
[ROW][C]0.7[/C][C]102.4268376931[/C][C]0.138091798809229[/C][/ROW]
[ROW][C]0.71[/C][C]102.453191213368[/C][C]0.129084799339111[/C][/ROW]
[ROW][C]0.72[/C][C]102.47806245496[/C][C]0.12020634592334[/C][/ROW]
[ROW][C]0.73[/C][C]102.501471183459[/C][C]0.111580516508142[/C][/ROW]
[ROW][C]0.74[/C][C]102.523483324883[/C][C]0.103503485944003[/C][/ROW]
[ROW][C]0.75[/C][C]102.544206779585[/C][C]0.0960422300170431[/C][/ROW]
[ROW][C]0.76[/C][C]102.563790089711[/C][C]0.0892614423937504[/C][/ROW]
[ROW][C]0.77[/C][C]102.582425790577[/C][C]0.0835012907789885[/C][/ROW]
[ROW][C]0.78[/C][C]102.600358960662[/C][C]0.0788257160530173[/C][/ROW]
[ROW][C]0.79[/C][C]102.61790003484[/C][C]0.0755065633858642[/C][/ROW]
[ROW][C]0.8[/C][C]102.635439272706[/C][C]0.0738115746533766[/C][/ROW]
[ROW][C]0.81[/C][C]102.65345816131[/C][C]0.0741342095423157[/C][/ROW]
[ROW][C]0.82[/C][C]102.672530556388[/C][C]0.0769246238041006[/C][/ROW]
[ROW][C]0.83[/C][C]102.693304483884[/C][C]0.0823269684906538[/C][/ROW]
[ROW][C]0.84[/C][C]102.716456453749[/C][C]0.0903335187053368[/C][/ROW]
[ROW][C]0.85[/C][C]102.742617018928[/C][C]0.100567154454326[/C][/ROW]
[ROW][C]0.86[/C][C]102.772281648998[/C][C]0.112013848991621[/C][/ROW]
[ROW][C]0.87[/C][C]102.805743849815[/C][C]0.123230267801444[/C][/ROW]
[ROW][C]0.88[/C][C]102.843110203872[/C][C]0.13291377154192[/C][/ROW]
[ROW][C]0.89[/C][C]102.884463268343[/C][C]0.140155318032169[/C][/ROW]
[ROW][C]0.9[/C][C]102.930204823758[/C][C]0.14554452779791[/C][/ROW]
[ROW][C]0.91[/C][C]102.98151757573[/C][C]0.151760489098986[/C][/ROW]
[ROW][C]0.92[/C][C]103.040727744225[/C][C]0.163370155713832[/C][/ROW]
[ROW][C]0.93[/C][C]103.111183829788[/C][C]0.184583604685756[/C][/ROW]
[ROW][C]0.94[/C][C]103.196216136142[/C][C]0.214590853921307[/C][/ROW]
[ROW][C]0.95[/C][C]103.297001694022[/C][C]0.244385224820044[/C][/ROW]
[ROW][C]0.96[/C][C]103.409870231127[/C][C]0.257436590575673[/C][/ROW]
[ROW][C]0.97[/C][C]103.524563216344[/C][C]0.236271453929104[/C][/ROW]
[ROW][C]0.98[/C][C]103.625439535705[/C][C]0.174906435569202[/C][/ROW]
[ROW][C]0.99[/C][C]103.696641214683[/C][C]0.0929134742429433[/C][/ROW]
[ROW][C]1[/C][C]103.73[/C][C]NA[/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
099.09NA
0.0199.12577495738820.0984640711174518
0.0299.19674101831060.16361071699009
0.0399.29113367600810.205174186680549
0.0499.39536015295250.224012357603221
0.0599.50148158716780.241129897882661
0.0699.60851805349620.274035260079977
0.0799.71969285499210.324397679279534
0.0899.8386172768010.381878230009445
0.0999.96658922543080.432734511861212
0.1100.1017370464390.466398197540881
0.11100.239665680160.476998895308678
0.12100.3748392733390.464597845638757
0.13100.501989975610.433002910691706
0.14100.6171138890730.388533706175049
0.15100.7179091414630.337997950902775
0.16100.8037270809690.287127048362531
0.17100.8752155919180.239934026828577
0.18100.933847439360.198626647738439
0.19100.9814810216890.163889178482977
0.2101.020033334240.135333148356456
0.21101.051283847060.112317982645284
0.22101.0767882306450.0941714384499667
0.23101.097864625470.0801360275594198
0.24101.1156165373120.0697559160028356
0.25101.1309667725960.0626327353695563
0.26101.1446886920040.0586066999963586
0.27101.157430160960.0570679777803373
0.28101.1697306784870.0579232372717935
0.29101.1820339941350.0604887091689543
0.3101.1946984891120.0645292374172809
0.31101.2080069208590.0696628864995246
0.32101.2221764796340.0754197321766234
0.33101.2373696499940.0820560141217603
0.34101.2537060101810.0889666012609421
0.35101.2712747041620.0963744789056998
0.36101.2901468527720.103806466099063
0.37101.310386726760.111729392130832
0.38101.3320602501840.119908974772872
0.39101.3552394832430.128743313075977
0.4101.3800022000350.138004851213348
0.41101.4064264515940.147779369025359
0.42101.4345809018080.158038601809991
0.43101.4645125108790.168364532072136
0.44101.4962336185660.178757829016887
0.45101.5297105479790.18881547134408
0.46101.5648555376740.198101810507243
0.47101.6015232470870.20641638288729
0.48101.6395124431990.21328741235958
0.49101.6785729092760.218534784295544
0.5101.7184171798680.222057242983399
0.51101.7587363659230.223755919576757
0.52101.7992189998590.223469162814568
0.53101.8395714252220.221491657240082
0.54101.8795377806110.218195736260165
0.55101.9189171945030.213594664880088
0.56101.957575615130.208445947614775
0.57101.9954499599960.202990795673235
0.58102.0325431129360.197806504827033
0.59102.0689096885590.193111752942473
0.6102.1046341960740.189164549759311
0.61102.139804881910.185790183365809
0.62102.1744876719110.182886976707522
0.63102.2087049048920.180040556026921
0.64102.2424227850270.176812486469151
0.65102.2755497885690.17291255209271
0.66102.3079460136030.16796453591878
0.67102.339441209770.161865057294936
0.68102.3698575445590.154759656570839
0.69102.3990324886470.146740623314811
0.7102.42683769310.138091798809229
0.71102.4531912133680.129084799339111
0.72102.478062454960.12020634592334
0.73102.5014711834590.111580516508142
0.74102.5234833248830.103503485944003
0.75102.5442067795850.0960422300170431
0.76102.5637900897110.0892614423937504
0.77102.5824257905770.0835012907789885
0.78102.6003589606620.0788257160530173
0.79102.617900034840.0755065633858642
0.8102.6354392727060.0738115746533766
0.81102.653458161310.0741342095423157
0.82102.6725305563880.0769246238041006
0.83102.6933044838840.0823269684906538
0.84102.7164564537490.0903335187053368
0.85102.7426170189280.100567154454326
0.86102.7722816489980.112013848991621
0.87102.8057438498150.123230267801444
0.88102.8431102038720.13291377154192
0.89102.8844632683430.140155318032169
0.9102.9302048237580.14554452779791
0.91102.981517575730.151760489098986
0.92103.0407277442250.163370155713832
0.93103.1111838297880.184583604685756
0.94103.1962161361420.214590853921307
0.95103.2970016940220.244385224820044
0.96103.4098702311270.257436590575673
0.97103.5245632163440.236271453929104
0.98103.6254395357050.174906435569202
0.99103.6966412146830.0929134742429433
1103.73NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.0 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.0 ; par2 = 1 ; 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')