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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 18 Nov 2010 20:13:52 +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/2010/Nov/18/t12901111779jil6mk6m4zhb8k.htm/, Retrieved Mon, 06 May 2024 16:33:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97699, Retrieved Mon, 06 May 2024 16:33:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 19:08:13] [b98453cac15ba1066b407e146608df68]
- RMPD  [Harrell-Davis Quantiles] [WS 2 - Part 2/2 - Q1] [2010-11-18 18:00:35] [8ed0bd3560b9ca2814a2ed0a29182575]
-   PD      [Harrell-Davis Quantiles] [W2B_Question4] [2010-11-18 20:13:52] [edf51d809b713abfc4095a7dca74558e] [Current]
-   PD        [Harrell-Davis Quantiles] [workshop 2 deel 2...] [2010-11-18 20:25:16] [efd13e24149aec704f3383e33c1e842a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
10.01
10.02
10.01
9.98
9.99
9.95
9.91
9.93
9.97
9.98
9.95
9.96
9.96
10.01
10
10
9.99
10
10
10
9.99
9.98
9.97
9.99
10
9.98
9.98
9.94
9.96
9.96
9.98
9.97
9.99
9.97
9.97
9.97
9.97
9.98
10.01
10.01
9.99
9.97
9.97
9.98
9.97
9.97
9.98
9.97
9.96
9.96
9.95
9.97
9.98
9.96
9.96
9.95
9.95
9.95
9.94
9.94
9.94
9.98
9.98
9.98
9.95
9.96
9.94
9.94
9.93
9.93
9.93
9.95
9.96
9.94
9.94
9.96
9.93
9.94
9.94
9.95
9.93
9.92
9.92
9.92
9.94
9.92
9.97
9.99
10.01
10.01
10.02
10
9.99
9.99
10
10
10.01
10
10.01
10.06
10.05
10.04
10.06
10.07
10.06
10.07
10.06
10.04
10.05
10.03
10.01
10.03
10.04
10.04
10.05
10.08
10.05
10.05
10.07
10.07
10.08
10.08
10.07
10.06
10.07
10.08
10.1
10.1
10.09
10.08
10.1
10.08
10.08
10.05
10.04
10.06
10.07
10.06
10.05
10.05
10.05
10.02
10.01
10.02
10.03
10.03
10.03
10.02
10.03
10.04
10.05
10.05
10.02
10.03
10.03
10.03
10.02
10.01
10
10
10.01
10
9.98
9.99
9.99
10.01
10.01
10
10.02
10.01
10.01
10.02
10.01
10.03
10
10
10
10
9.99
10
10.03
10.03
10.03
10.03
10.03
10.05
10.06
10.05
10.06
10.07
10.05
10.05
10.04
10.05
10.07
10.07
10.08
10.08
10.08
10.06
10.03
10.04
10.06
10.08
10.07
10.07
10.04
10.03
10.01
10
10.01
10.03
10.01
10.02
10.02
10.02
10.03
10.03
10.04
10.02
10.01
10.01
10
10.01
10.03
10.03
10.02
10.02
9.99
10
10.02
10.01
10.01
10.01
10.01
10
9.97
9.97
9.98
9.99
9.97
9.98
9.98
9.97
9.98
9.97
9.96
9.96
9.97
9.96
9.97
9.97
9.97
9.96
9.96
9.98
9.96
9.95
9.94
9.93
9.92
9.92
9.9
9.91
9.89
9.92
9.92
9.94
9.95
9.93
9.96
9.95
9.95
9.95
9.97
9.97
9.98
9.98
9.97
10
9.99
9.98
10.01
10
9.98
10
10
10.02
10
9.99
9.98
9.97
9.99
9.99
10.01
10.01
10.01
9.99
9.99
9.97
9.98
9.96
9.96
9.96
9.97
9.97
9.97
9.98
9.98
10
9.99
9.99
9.98
10
9.99
9.98
10.02
10.01
10.02
10.03
10.03
10.03
10.03
10.04
10.05
10.03
10.03
10.03
10.05
10.05
10.05
10.06
10.07
10.07
10.08
10.08
10.07
10.08
10.1
10.11
10.08
10.08
10.07
10.06
10.07
10.07
10.06
10.08
10.09
10.09
10.09
10.09
10.08
10.09
10.09
10.1
10.1
10.11
10.1
10.1
10.12
10.11
10.12
10.13
10.11
10.14
10.16
10.16
10.17
10.16
10.16
10.14
10.17
10.16
10.18
10.18
10.22
10.22
10.23
10.23
10.19
10.19
10.19
10.19
10.18
10.21
10.19
10.18
10.18
10.18
10.19
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.18
10.2
10.19
10.21
10.17
10.15
10.15
10.15
10.16
10.19
10.18
10.19
10.16
10.16
10.15
10.14
10.13
10.14
10.13
10.14
10.14
10.17
10.17
10.18
10.18
10.17
10.17
10.16
10.19
10.2
10.21
10.21
10.2
10.2
10.18
10.2
10.2
10.19
10.2
10.19
10.18
10.18
10.21
10.21
10.21
10.21
10.21
10.2
10.21
10.19
10.2
10.2
10.19
10.2
10.18
10.18
10.17
10.17
10.17
10.16
10.14
10.18
10.2
10.19
10.16
10.19
10.19
10.17
10.17
10.17
10.19
10.18
10.18
10.18
10.18
10.18
10.18
10.23
10.23
10.24
10.24
10.25
10.26
10.28
10.27
10.25
10.25
10.25
10.26
10.26
10.27
10.25
10.27
10.25
10.23
10.23
10.23
10.23
10.22
10.24
10.25
10.25
10.23
10.22
10.23
10.22
10.21
10.23
10.22
10.22
10.22
10.22
10.22
10.21
10.22
10.22
10.21
10.22
10.22
10.22
10.21
10.21
10.2
10.21
10.21
10.22
10.21
10.19
10.19
10.2
10.22
10.22
10.29
10.28
10.23
10.22
10.22
10.22
10.24
10.24
10.26
10.26
10.25
10.28
10.27
10.28
10.29
10.29
10.3
10.29
10.29
10.31
10.29
10.29
10.31
10.3
10.29
10.3
10.31
10.31
10.3
10.32
10.33
10.33
10.33
10.32
10.32
10.32
10.32
10.33
10.35
10.33
10.32
10.3
10.34
10.33
10.33
10.31
10.32
10.34
10.32
10.35
10.35
10.35
10.34
10.35
10.35
10.34
10.34
10.35
10.34
10.36
10.34
10.34
10.35
10.36
10.36
10.37
10.36
10.34
10.36
10.35
10.35
10.34
10.36
10.37
10.36
10.37
10.37
10.36
10.36
10.37
10.38
10.39
10.38
10.38
10.36
10.36
10.37
10.39
10.39
10.4
10.4
10.42
10.41
10.42
10.43
10.42
10.42
10.41
10.41

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97699&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97699&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97699&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.918392844698750.00283665712984832
0.029.92564346401850.00462956128796376
0.039.933409854180880.00453254708528552
0.049.939260806227370.00327687956105179
0.059.94372797296870.00419733791925138
0.069.948576462927850.00405142329732224
0.079.952853640967130.00421290672460883
0.089.956911036647160.00374125466618368
0.099.95984522167160.00261911151551467
0.19.962401008255130.00347942143785593
0.119.965581133685630.00396850857817726
0.129.968312999020440.00257831618258418
0.139.969840534475270.00142467887389819
0.149.971061585170240.002116196586796
0.159.973063837812540.00358691771093209
0.169.975777916788860.00398329102959051
0.179.978254373189060.00305997845358986
0.189.98009507228420.00247745902431420
0.199.981907714253610.00321155993045507
0.29.984278299739530.00420879425158179
0.219.98702980662540.00441423134514175
0.229.989733687044290.0042245000438277
0.239.99236478559850.00435442252619824
0.249.99500879009310.00434981137987635
0.259.997421530098470.00367782256250898
0.269.999372102336660.00297056796927217
0.2710.00110141291910.00307691312216934
0.2810.00305788358330.00382555162761508
0.2910.00531058564940.00411452191870532
0.310.00748835493920.00358775398280895
0.3110.00930209867280.00294807212160699
0.3210.01093645014250.00307988866743997
0.3310.01284961331870.00403441187410667
0.3410.01530810279030.00509352649081404
0.3510.01821372075160.00568087580129652
0.3610.02128764660520.0057553662366129
0.3710.02425839328410.00536807149105053
0.3810.02692835189650.00471536833817493
0.3910.02929677846240.00434525812408881
0.410.03167447789270.0048518959125392
0.4110.03451181219590.00613526614466573
0.4210.03801432654120.00735515115033337
0.4310.04196659983520.00782873081566324
0.4410.04596455659890.00756472121070164
0.4510.04978772786280.00722861672010736
0.4610.05351524087060.00726553220724478
0.4710.05732040000220.00753408855249167
0.4810.06123785709590.00767616321399524
0.4910.06515454715750.00754012433565152
0.510.06896749283620.00730154235502631
0.5110.07270967992350.00730048683623985
0.5210.07657721437360.00780566688965943
0.5310.0809373859570.0092123272959076
0.5410.08632979112570.0118230224495015
0.5510.09335001119610.0154619825121021
0.5610.10238311242900.0194551549579159
0.5710.11330669548490.0225511582929396
0.5810.12535171235790.0235732612204723
0.5910.13730512558410.0221134167442451
0.610.14802596724320.0188766286225922
0.6110.15691380090770.0151230690253061
0.6210.16397451499270.0118278803223049
0.6310.16951223658320.00921077371467683
0.6410.17379100268340.0069909001936568
0.6510.17698082490580.0050771839264296
0.6610.17936701885160.00393863649842421
0.6710.18146135296560.00388150132625
0.6810.18376743941980.00457153245129924
0.6910.18647512535680.00520794898312857
0.710.18951449237070.00564907532580938
0.7110.19284783836580.00616890916356495
0.7210.19652180232500.00670247443185544
0.7310.20047018804890.00695856020776927
0.7410.20445794081450.00671561151905509
0.7510.20826835436110.00623814929756702
0.7610.21185628473880.00580972913183503
0.7710.21524271216540.00539920064291196
0.7810.21843366317640.00504254497871795
0.7910.22167838141370.00538320175111853
0.810.22557843545770.00679689745463197
0.8110.23071853253360.008838769007207
0.8210.23735653215320.0109053546293826
0.8310.24545210895810.0126845289845642
0.8410.25495552587740.0143757738042228
0.8510.26586412132560.0158409508233105
0.8610.27760566487900.0158623640132985
0.8710.28917267002290.0146623461135259
0.8810.30023883413960.0136227623667686
0.8910.31082935618980.0124069375565796
0.910.32055805657720.0106866378178666
0.9110.32927266417460.00912581948754727
0.9210.33696684414750.00752262718012308
0.9310.34375430690250.00638258093818349
0.9410.35011877478320.00572991930345862
0.9510.35627213885950.00496723874494099
0.9610.36218511987080.00474706439720321
0.9710.37107434267010.00726925794775555
0.9810.38722427503980.0105602864915466
0.9910.41009271586510.00845709373967947

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.91839284469875 & 0.00283665712984832 \tabularnewline
0.02 & 9.9256434640185 & 0.00462956128796376 \tabularnewline
0.03 & 9.93340985418088 & 0.00453254708528552 \tabularnewline
0.04 & 9.93926080622737 & 0.00327687956105179 \tabularnewline
0.05 & 9.9437279729687 & 0.00419733791925138 \tabularnewline
0.06 & 9.94857646292785 & 0.00405142329732224 \tabularnewline
0.07 & 9.95285364096713 & 0.00421290672460883 \tabularnewline
0.08 & 9.95691103664716 & 0.00374125466618368 \tabularnewline
0.09 & 9.9598452216716 & 0.00261911151551467 \tabularnewline
0.1 & 9.96240100825513 & 0.00347942143785593 \tabularnewline
0.11 & 9.96558113368563 & 0.00396850857817726 \tabularnewline
0.12 & 9.96831299902044 & 0.00257831618258418 \tabularnewline
0.13 & 9.96984053447527 & 0.00142467887389819 \tabularnewline
0.14 & 9.97106158517024 & 0.002116196586796 \tabularnewline
0.15 & 9.97306383781254 & 0.00358691771093209 \tabularnewline
0.16 & 9.97577791678886 & 0.00398329102959051 \tabularnewline
0.17 & 9.97825437318906 & 0.00305997845358986 \tabularnewline
0.18 & 9.9800950722842 & 0.00247745902431420 \tabularnewline
0.19 & 9.98190771425361 & 0.00321155993045507 \tabularnewline
0.2 & 9.98427829973953 & 0.00420879425158179 \tabularnewline
0.21 & 9.9870298066254 & 0.00441423134514175 \tabularnewline
0.22 & 9.98973368704429 & 0.0042245000438277 \tabularnewline
0.23 & 9.9923647855985 & 0.00435442252619824 \tabularnewline
0.24 & 9.9950087900931 & 0.00434981137987635 \tabularnewline
0.25 & 9.99742153009847 & 0.00367782256250898 \tabularnewline
0.26 & 9.99937210233666 & 0.00297056796927217 \tabularnewline
0.27 & 10.0011014129191 & 0.00307691312216934 \tabularnewline
0.28 & 10.0030578835833 & 0.00382555162761508 \tabularnewline
0.29 & 10.0053105856494 & 0.00411452191870532 \tabularnewline
0.3 & 10.0074883549392 & 0.00358775398280895 \tabularnewline
0.31 & 10.0093020986728 & 0.00294807212160699 \tabularnewline
0.32 & 10.0109364501425 & 0.00307988866743997 \tabularnewline
0.33 & 10.0128496133187 & 0.00403441187410667 \tabularnewline
0.34 & 10.0153081027903 & 0.00509352649081404 \tabularnewline
0.35 & 10.0182137207516 & 0.00568087580129652 \tabularnewline
0.36 & 10.0212876466052 & 0.0057553662366129 \tabularnewline
0.37 & 10.0242583932841 & 0.00536807149105053 \tabularnewline
0.38 & 10.0269283518965 & 0.00471536833817493 \tabularnewline
0.39 & 10.0292967784624 & 0.00434525812408881 \tabularnewline
0.4 & 10.0316744778927 & 0.0048518959125392 \tabularnewline
0.41 & 10.0345118121959 & 0.00613526614466573 \tabularnewline
0.42 & 10.0380143265412 & 0.00735515115033337 \tabularnewline
0.43 & 10.0419665998352 & 0.00782873081566324 \tabularnewline
0.44 & 10.0459645565989 & 0.00756472121070164 \tabularnewline
0.45 & 10.0497877278628 & 0.00722861672010736 \tabularnewline
0.46 & 10.0535152408706 & 0.00726553220724478 \tabularnewline
0.47 & 10.0573204000022 & 0.00753408855249167 \tabularnewline
0.48 & 10.0612378570959 & 0.00767616321399524 \tabularnewline
0.49 & 10.0651545471575 & 0.00754012433565152 \tabularnewline
0.5 & 10.0689674928362 & 0.00730154235502631 \tabularnewline
0.51 & 10.0727096799235 & 0.00730048683623985 \tabularnewline
0.52 & 10.0765772143736 & 0.00780566688965943 \tabularnewline
0.53 & 10.080937385957 & 0.0092123272959076 \tabularnewline
0.54 & 10.0863297911257 & 0.0118230224495015 \tabularnewline
0.55 & 10.0933500111961 & 0.0154619825121021 \tabularnewline
0.56 & 10.1023831124290 & 0.0194551549579159 \tabularnewline
0.57 & 10.1133066954849 & 0.0225511582929396 \tabularnewline
0.58 & 10.1253517123579 & 0.0235732612204723 \tabularnewline
0.59 & 10.1373051255841 & 0.0221134167442451 \tabularnewline
0.6 & 10.1480259672432 & 0.0188766286225922 \tabularnewline
0.61 & 10.1569138009077 & 0.0151230690253061 \tabularnewline
0.62 & 10.1639745149927 & 0.0118278803223049 \tabularnewline
0.63 & 10.1695122365832 & 0.00921077371467683 \tabularnewline
0.64 & 10.1737910026834 & 0.0069909001936568 \tabularnewline
0.65 & 10.1769808249058 & 0.0050771839264296 \tabularnewline
0.66 & 10.1793670188516 & 0.00393863649842421 \tabularnewline
0.67 & 10.1814613529656 & 0.00388150132625 \tabularnewline
0.68 & 10.1837674394198 & 0.00457153245129924 \tabularnewline
0.69 & 10.1864751253568 & 0.00520794898312857 \tabularnewline
0.7 & 10.1895144923707 & 0.00564907532580938 \tabularnewline
0.71 & 10.1928478383658 & 0.00616890916356495 \tabularnewline
0.72 & 10.1965218023250 & 0.00670247443185544 \tabularnewline
0.73 & 10.2004701880489 & 0.00695856020776927 \tabularnewline
0.74 & 10.2044579408145 & 0.00671561151905509 \tabularnewline
0.75 & 10.2082683543611 & 0.00623814929756702 \tabularnewline
0.76 & 10.2118562847388 & 0.00580972913183503 \tabularnewline
0.77 & 10.2152427121654 & 0.00539920064291196 \tabularnewline
0.78 & 10.2184336631764 & 0.00504254497871795 \tabularnewline
0.79 & 10.2216783814137 & 0.00538320175111853 \tabularnewline
0.8 & 10.2255784354577 & 0.00679689745463197 \tabularnewline
0.81 & 10.2307185325336 & 0.008838769007207 \tabularnewline
0.82 & 10.2373565321532 & 0.0109053546293826 \tabularnewline
0.83 & 10.2454521089581 & 0.0126845289845642 \tabularnewline
0.84 & 10.2549555258774 & 0.0143757738042228 \tabularnewline
0.85 & 10.2658641213256 & 0.0158409508233105 \tabularnewline
0.86 & 10.2776056648790 & 0.0158623640132985 \tabularnewline
0.87 & 10.2891726700229 & 0.0146623461135259 \tabularnewline
0.88 & 10.3002388341396 & 0.0136227623667686 \tabularnewline
0.89 & 10.3108293561898 & 0.0124069375565796 \tabularnewline
0.9 & 10.3205580565772 & 0.0106866378178666 \tabularnewline
0.91 & 10.3292726641746 & 0.00912581948754727 \tabularnewline
0.92 & 10.3369668441475 & 0.00752262718012308 \tabularnewline
0.93 & 10.3437543069025 & 0.00638258093818349 \tabularnewline
0.94 & 10.3501187747832 & 0.00572991930345862 \tabularnewline
0.95 & 10.3562721388595 & 0.00496723874494099 \tabularnewline
0.96 & 10.3621851198708 & 0.00474706439720321 \tabularnewline
0.97 & 10.3710743426701 & 0.00726925794775555 \tabularnewline
0.98 & 10.3872242750398 & 0.0105602864915466 \tabularnewline
0.99 & 10.4100927158651 & 0.00845709373967947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97699&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]9.91839284469875[/C][C]0.00283665712984832[/C][/ROW]
[ROW][C]0.02[/C][C]9.9256434640185[/C][C]0.00462956128796376[/C][/ROW]
[ROW][C]0.03[/C][C]9.93340985418088[/C][C]0.00453254708528552[/C][/ROW]
[ROW][C]0.04[/C][C]9.93926080622737[/C][C]0.00327687956105179[/C][/ROW]
[ROW][C]0.05[/C][C]9.9437279729687[/C][C]0.00419733791925138[/C][/ROW]
[ROW][C]0.06[/C][C]9.94857646292785[/C][C]0.00405142329732224[/C][/ROW]
[ROW][C]0.07[/C][C]9.95285364096713[/C][C]0.00421290672460883[/C][/ROW]
[ROW][C]0.08[/C][C]9.95691103664716[/C][C]0.00374125466618368[/C][/ROW]
[ROW][C]0.09[/C][C]9.9598452216716[/C][C]0.00261911151551467[/C][/ROW]
[ROW][C]0.1[/C][C]9.96240100825513[/C][C]0.00347942143785593[/C][/ROW]
[ROW][C]0.11[/C][C]9.96558113368563[/C][C]0.00396850857817726[/C][/ROW]
[ROW][C]0.12[/C][C]9.96831299902044[/C][C]0.00257831618258418[/C][/ROW]
[ROW][C]0.13[/C][C]9.96984053447527[/C][C]0.00142467887389819[/C][/ROW]
[ROW][C]0.14[/C][C]9.97106158517024[/C][C]0.002116196586796[/C][/ROW]
[ROW][C]0.15[/C][C]9.97306383781254[/C][C]0.00358691771093209[/C][/ROW]
[ROW][C]0.16[/C][C]9.97577791678886[/C][C]0.00398329102959051[/C][/ROW]
[ROW][C]0.17[/C][C]9.97825437318906[/C][C]0.00305997845358986[/C][/ROW]
[ROW][C]0.18[/C][C]9.9800950722842[/C][C]0.00247745902431420[/C][/ROW]
[ROW][C]0.19[/C][C]9.98190771425361[/C][C]0.00321155993045507[/C][/ROW]
[ROW][C]0.2[/C][C]9.98427829973953[/C][C]0.00420879425158179[/C][/ROW]
[ROW][C]0.21[/C][C]9.9870298066254[/C][C]0.00441423134514175[/C][/ROW]
[ROW][C]0.22[/C][C]9.98973368704429[/C][C]0.0042245000438277[/C][/ROW]
[ROW][C]0.23[/C][C]9.9923647855985[/C][C]0.00435442252619824[/C][/ROW]
[ROW][C]0.24[/C][C]9.9950087900931[/C][C]0.00434981137987635[/C][/ROW]
[ROW][C]0.25[/C][C]9.99742153009847[/C][C]0.00367782256250898[/C][/ROW]
[ROW][C]0.26[/C][C]9.99937210233666[/C][C]0.00297056796927217[/C][/ROW]
[ROW][C]0.27[/C][C]10.0011014129191[/C][C]0.00307691312216934[/C][/ROW]
[ROW][C]0.28[/C][C]10.0030578835833[/C][C]0.00382555162761508[/C][/ROW]
[ROW][C]0.29[/C][C]10.0053105856494[/C][C]0.00411452191870532[/C][/ROW]
[ROW][C]0.3[/C][C]10.0074883549392[/C][C]0.00358775398280895[/C][/ROW]
[ROW][C]0.31[/C][C]10.0093020986728[/C][C]0.00294807212160699[/C][/ROW]
[ROW][C]0.32[/C][C]10.0109364501425[/C][C]0.00307988866743997[/C][/ROW]
[ROW][C]0.33[/C][C]10.0128496133187[/C][C]0.00403441187410667[/C][/ROW]
[ROW][C]0.34[/C][C]10.0153081027903[/C][C]0.00509352649081404[/C][/ROW]
[ROW][C]0.35[/C][C]10.0182137207516[/C][C]0.00568087580129652[/C][/ROW]
[ROW][C]0.36[/C][C]10.0212876466052[/C][C]0.0057553662366129[/C][/ROW]
[ROW][C]0.37[/C][C]10.0242583932841[/C][C]0.00536807149105053[/C][/ROW]
[ROW][C]0.38[/C][C]10.0269283518965[/C][C]0.00471536833817493[/C][/ROW]
[ROW][C]0.39[/C][C]10.0292967784624[/C][C]0.00434525812408881[/C][/ROW]
[ROW][C]0.4[/C][C]10.0316744778927[/C][C]0.0048518959125392[/C][/ROW]
[ROW][C]0.41[/C][C]10.0345118121959[/C][C]0.00613526614466573[/C][/ROW]
[ROW][C]0.42[/C][C]10.0380143265412[/C][C]0.00735515115033337[/C][/ROW]
[ROW][C]0.43[/C][C]10.0419665998352[/C][C]0.00782873081566324[/C][/ROW]
[ROW][C]0.44[/C][C]10.0459645565989[/C][C]0.00756472121070164[/C][/ROW]
[ROW][C]0.45[/C][C]10.0497877278628[/C][C]0.00722861672010736[/C][/ROW]
[ROW][C]0.46[/C][C]10.0535152408706[/C][C]0.00726553220724478[/C][/ROW]
[ROW][C]0.47[/C][C]10.0573204000022[/C][C]0.00753408855249167[/C][/ROW]
[ROW][C]0.48[/C][C]10.0612378570959[/C][C]0.00767616321399524[/C][/ROW]
[ROW][C]0.49[/C][C]10.0651545471575[/C][C]0.00754012433565152[/C][/ROW]
[ROW][C]0.5[/C][C]10.0689674928362[/C][C]0.00730154235502631[/C][/ROW]
[ROW][C]0.51[/C][C]10.0727096799235[/C][C]0.00730048683623985[/C][/ROW]
[ROW][C]0.52[/C][C]10.0765772143736[/C][C]0.00780566688965943[/C][/ROW]
[ROW][C]0.53[/C][C]10.080937385957[/C][C]0.0092123272959076[/C][/ROW]
[ROW][C]0.54[/C][C]10.0863297911257[/C][C]0.0118230224495015[/C][/ROW]
[ROW][C]0.55[/C][C]10.0933500111961[/C][C]0.0154619825121021[/C][/ROW]
[ROW][C]0.56[/C][C]10.1023831124290[/C][C]0.0194551549579159[/C][/ROW]
[ROW][C]0.57[/C][C]10.1133066954849[/C][C]0.0225511582929396[/C][/ROW]
[ROW][C]0.58[/C][C]10.1253517123579[/C][C]0.0235732612204723[/C][/ROW]
[ROW][C]0.59[/C][C]10.1373051255841[/C][C]0.0221134167442451[/C][/ROW]
[ROW][C]0.6[/C][C]10.1480259672432[/C][C]0.0188766286225922[/C][/ROW]
[ROW][C]0.61[/C][C]10.1569138009077[/C][C]0.0151230690253061[/C][/ROW]
[ROW][C]0.62[/C][C]10.1639745149927[/C][C]0.0118278803223049[/C][/ROW]
[ROW][C]0.63[/C][C]10.1695122365832[/C][C]0.00921077371467683[/C][/ROW]
[ROW][C]0.64[/C][C]10.1737910026834[/C][C]0.0069909001936568[/C][/ROW]
[ROW][C]0.65[/C][C]10.1769808249058[/C][C]0.0050771839264296[/C][/ROW]
[ROW][C]0.66[/C][C]10.1793670188516[/C][C]0.00393863649842421[/C][/ROW]
[ROW][C]0.67[/C][C]10.1814613529656[/C][C]0.00388150132625[/C][/ROW]
[ROW][C]0.68[/C][C]10.1837674394198[/C][C]0.00457153245129924[/C][/ROW]
[ROW][C]0.69[/C][C]10.1864751253568[/C][C]0.00520794898312857[/C][/ROW]
[ROW][C]0.7[/C][C]10.1895144923707[/C][C]0.00564907532580938[/C][/ROW]
[ROW][C]0.71[/C][C]10.1928478383658[/C][C]0.00616890916356495[/C][/ROW]
[ROW][C]0.72[/C][C]10.1965218023250[/C][C]0.00670247443185544[/C][/ROW]
[ROW][C]0.73[/C][C]10.2004701880489[/C][C]0.00695856020776927[/C][/ROW]
[ROW][C]0.74[/C][C]10.2044579408145[/C][C]0.00671561151905509[/C][/ROW]
[ROW][C]0.75[/C][C]10.2082683543611[/C][C]0.00623814929756702[/C][/ROW]
[ROW][C]0.76[/C][C]10.2118562847388[/C][C]0.00580972913183503[/C][/ROW]
[ROW][C]0.77[/C][C]10.2152427121654[/C][C]0.00539920064291196[/C][/ROW]
[ROW][C]0.78[/C][C]10.2184336631764[/C][C]0.00504254497871795[/C][/ROW]
[ROW][C]0.79[/C][C]10.2216783814137[/C][C]0.00538320175111853[/C][/ROW]
[ROW][C]0.8[/C][C]10.2255784354577[/C][C]0.00679689745463197[/C][/ROW]
[ROW][C]0.81[/C][C]10.2307185325336[/C][C]0.008838769007207[/C][/ROW]
[ROW][C]0.82[/C][C]10.2373565321532[/C][C]0.0109053546293826[/C][/ROW]
[ROW][C]0.83[/C][C]10.2454521089581[/C][C]0.0126845289845642[/C][/ROW]
[ROW][C]0.84[/C][C]10.2549555258774[/C][C]0.0143757738042228[/C][/ROW]
[ROW][C]0.85[/C][C]10.2658641213256[/C][C]0.0158409508233105[/C][/ROW]
[ROW][C]0.86[/C][C]10.2776056648790[/C][C]0.0158623640132985[/C][/ROW]
[ROW][C]0.87[/C][C]10.2891726700229[/C][C]0.0146623461135259[/C][/ROW]
[ROW][C]0.88[/C][C]10.3002388341396[/C][C]0.0136227623667686[/C][/ROW]
[ROW][C]0.89[/C][C]10.3108293561898[/C][C]0.0124069375565796[/C][/ROW]
[ROW][C]0.9[/C][C]10.3205580565772[/C][C]0.0106866378178666[/C][/ROW]
[ROW][C]0.91[/C][C]10.3292726641746[/C][C]0.00912581948754727[/C][/ROW]
[ROW][C]0.92[/C][C]10.3369668441475[/C][C]0.00752262718012308[/C][/ROW]
[ROW][C]0.93[/C][C]10.3437543069025[/C][C]0.00638258093818349[/C][/ROW]
[ROW][C]0.94[/C][C]10.3501187747832[/C][C]0.00572991930345862[/C][/ROW]
[ROW][C]0.95[/C][C]10.3562721388595[/C][C]0.00496723874494099[/C][/ROW]
[ROW][C]0.96[/C][C]10.3621851198708[/C][C]0.00474706439720321[/C][/ROW]
[ROW][C]0.97[/C][C]10.3710743426701[/C][C]0.00726925794775555[/C][/ROW]
[ROW][C]0.98[/C][C]10.3872242750398[/C][C]0.0105602864915466[/C][/ROW]
[ROW][C]0.99[/C][C]10.4100927158651[/C][C]0.00845709373967947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97699&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97699&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
0.019.918392844698750.00283665712984832
0.029.92564346401850.00462956128796376
0.039.933409854180880.00453254708528552
0.049.939260806227370.00327687956105179
0.059.94372797296870.00419733791925138
0.069.948576462927850.00405142329732224
0.079.952853640967130.00421290672460883
0.089.956911036647160.00374125466618368
0.099.95984522167160.00261911151551467
0.19.962401008255130.00347942143785593
0.119.965581133685630.00396850857817726
0.129.968312999020440.00257831618258418
0.139.969840534475270.00142467887389819
0.149.971061585170240.002116196586796
0.159.973063837812540.00358691771093209
0.169.975777916788860.00398329102959051
0.179.978254373189060.00305997845358986
0.189.98009507228420.00247745902431420
0.199.981907714253610.00321155993045507
0.29.984278299739530.00420879425158179
0.219.98702980662540.00441423134514175
0.229.989733687044290.0042245000438277
0.239.99236478559850.00435442252619824
0.249.99500879009310.00434981137987635
0.259.997421530098470.00367782256250898
0.269.999372102336660.00297056796927217
0.2710.00110141291910.00307691312216934
0.2810.00305788358330.00382555162761508
0.2910.00531058564940.00411452191870532
0.310.00748835493920.00358775398280895
0.3110.00930209867280.00294807212160699
0.3210.01093645014250.00307988866743997
0.3310.01284961331870.00403441187410667
0.3410.01530810279030.00509352649081404
0.3510.01821372075160.00568087580129652
0.3610.02128764660520.0057553662366129
0.3710.02425839328410.00536807149105053
0.3810.02692835189650.00471536833817493
0.3910.02929677846240.00434525812408881
0.410.03167447789270.0048518959125392
0.4110.03451181219590.00613526614466573
0.4210.03801432654120.00735515115033337
0.4310.04196659983520.00782873081566324
0.4410.04596455659890.00756472121070164
0.4510.04978772786280.00722861672010736
0.4610.05351524087060.00726553220724478
0.4710.05732040000220.00753408855249167
0.4810.06123785709590.00767616321399524
0.4910.06515454715750.00754012433565152
0.510.06896749283620.00730154235502631
0.5110.07270967992350.00730048683623985
0.5210.07657721437360.00780566688965943
0.5310.0809373859570.0092123272959076
0.5410.08632979112570.0118230224495015
0.5510.09335001119610.0154619825121021
0.5610.10238311242900.0194551549579159
0.5710.11330669548490.0225511582929396
0.5810.12535171235790.0235732612204723
0.5910.13730512558410.0221134167442451
0.610.14802596724320.0188766286225922
0.6110.15691380090770.0151230690253061
0.6210.16397451499270.0118278803223049
0.6310.16951223658320.00921077371467683
0.6410.17379100268340.0069909001936568
0.6510.17698082490580.0050771839264296
0.6610.17936701885160.00393863649842421
0.6710.18146135296560.00388150132625
0.6810.18376743941980.00457153245129924
0.6910.18647512535680.00520794898312857
0.710.18951449237070.00564907532580938
0.7110.19284783836580.00616890916356495
0.7210.19652180232500.00670247443185544
0.7310.20047018804890.00695856020776927
0.7410.20445794081450.00671561151905509
0.7510.20826835436110.00623814929756702
0.7610.21185628473880.00580972913183503
0.7710.21524271216540.00539920064291196
0.7810.21843366317640.00504254497871795
0.7910.22167838141370.00538320175111853
0.810.22557843545770.00679689745463197
0.8110.23071853253360.008838769007207
0.8210.23735653215320.0109053546293826
0.8310.24545210895810.0126845289845642
0.8410.25495552587740.0143757738042228
0.8510.26586412132560.0158409508233105
0.8610.27760566487900.0158623640132985
0.8710.28917267002290.0146623461135259
0.8810.30023883413960.0136227623667686
0.8910.31082935618980.0124069375565796
0.910.32055805657720.0106866378178666
0.9110.32927266417460.00912581948754727
0.9210.33696684414750.00752262718012308
0.9310.34375430690250.00638258093818349
0.9410.35011877478320.00572991930345862
0.9510.35627213885950.00496723874494099
0.9610.36218511987080.00474706439720321
0.9710.37107434267010.00726925794775555
0.9810.38722427503980.0105602864915466
0.9910.41009271586510.00845709373967947


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 6 ; par2 = 1 ; par3 = FALSE ;
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')