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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 computationTue, 11 Oct 2011 10:11:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/11/t1318342398clu8ld73xdbnqxz.htm/, Retrieved Sat, 11 May 2024 07:40:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128051, Retrieved Sat, 11 May 2024 07:40:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords KDG201142
Estimated Impact81

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] [gemiddelde consum...] [2011-10-11 14:11:06] [08802a004a000ae20ac4145e9a22f7e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.14
14.2
13.83
14.31
14.04
14.9
14.92
15.36
15.5
15.65
16.18
15.44
15.58
15.24
15.33
16.07
15.82
15.87
15.72
17.07
16.83
17.52
17.76
17.36
17.95
16.71
17.14
16.72
17.26
17.24
17.69
18.13
18.08
18.18
18.18
17.64
17.89
16.82
16.61
16.66
17.02
16.91
17.18
18.06
17.58
17.48
17.54
17.44
17.79
16.79
16.19
16.62
16.39
16.54
17.26
18
17.29
18.16
17.82
17.48
18.31
17.04
17.03
16.97
17.11
17.12
17.69
18.5
18.27
18.45
18.35
18.03
18.49
18.07
17.8
17.88
18.12
18.68
18.8
19.64
19.56
19.3
20.07
19.82
20.29
19.36
18.74
18.87
18.87
18.91
19.31
20.06
20.72
20.42
20.58
20.58
21.18
19.87
19.83
19.48
19.49
19.4
19.89
20.44
20.07
19.75
19.54
19.07
19.55
18.01
17.5
17.41
17.47
17.6
17.64
18.3
18.27
17.99
18.04
17.62
18.22
17.67
17.73
17.99
18.15
18.41
18.36
19.52
19.96
19.6
19.48
19.13

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=128051&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=128051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128051&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
0.0114.00051511159890.222997903025665
0.0214.26310762090870.325939198583398
0.0314.54633453979370.391248009842205
0.0414.81238688803580.365409903462938
0.0515.0307110990880.30191873743391
0.0615.19812799059490.250869391049929
0.0715.32948981908220.226426151028764
0.0815.44183931614360.226063812741606
0.0915.54789418100730.242976528466022
0.115.65546463495060.269756684509008
0.1115.76832059874620.299474283592963
0.1215.88705937184560.325685561754587
0.1316.00985290122210.342840498703145
0.1416.1332404398080.347273650816764
0.1516.25307223417360.338092693754319
0.1616.36551556907310.317444125130691
0.1716.4678851576080.289749120332246
0.1816.55906671763620.260168273291453
0.1916.63944897501350.233260757737076
0.216.71046806031160.21156901054799
0.2116.77399521261720.195516000137551
0.2216.83180862447120.183967791582944
0.2316.8852977825370.175249215075285
0.2416.93541770467390.168119244067136
0.2516.98280930913630.162039109864069
0.2617.02796658299410.157172413980772
0.2717.07135609946140.153831642978333
0.2817.11344936727980.152117108147453
0.2917.15468057314730.151782373791882
0.317.19537158626210.152223271989991
0.3117.23566928569940.152646198178528
0.3217.27552534030930.152231107137552
0.3317.31472693372120.150383112570659
0.3417.35296773654580.146986294221039
0.3517.38993671664690.142158785080245
0.3617.42539970495620.13653000366126
0.3717.45925411602320.130666643433567
0.3817.49154802873030.125207214560186
0.3917.52246667862390.120793948108055
0.417.55229783834340.117701734258421
0.4117.5813898058030.11599499928751
0.4217.61011204619210.11578915499345
0.4317.63882197245050.116990749997563
0.4417.66783589675620.119304154427598
0.4517.69740061344810.12246959294837
0.4617.72766465125070.126071112077493
0.4717.75865294994420.129401684178025
0.4817.79025260600550.131890510406846
0.4917.8222179969390.133041639278252
0.517.85420021503560.13243411935202
0.5117.88579929551890.129948725220027
0.5217.91663053254950.12582152840968
0.5317.94639101227380.120495057682928
0.5417.97491151267110.114719238409078
0.5518.00218275875410.109205139225467
0.5618.02835243076190.104639220335745
0.5718.05369763193130.101413714947371
0.5818.07858379249690.0999149102183858
0.5918.10342330084880.100163212505878
0.618.12864532983310.102083326683401
0.6118.15468366455410.105613166725806
0.6218.18198362799720.110856182226894
0.6318.2110237403460.117889562500474
0.6418.24234308010080.126934391878957
0.6518.27656182001070.138390167832425
0.6618.31438112454090.152551103971354
0.6718.35655127506920.169455389182717
0.6818.40380478262140.188880465104856
0.6918.45676314234830.210062508053971
0.718.51583706827170.231882880927127
0.7118.58114388847020.253051631134638
0.7218.65245805163040.272147637486597
0.7318.7291941896120.287950095707663
0.7418.81040747529070.299393149985174
0.7518.8947957157550.305351736440006
0.7618.98070637841180.304864580223973
0.7719.06617945109330.297040696464964
0.7819.14907253229650.28150056829761
0.7919.22729976125010.258932237340979
0.819.29917070153530.231226781032617
0.8119.3637587583310.20148524099204
0.8219.42118832110140.173595242643761
0.8319.47272410981870.151376758989044
0.8419.52058061781640.137804949784164
0.8519.5674446416150.133668465956461
0.8619.61581695375870.136990023911482
0.8719.66740268762480.143642480222088
0.8819.72283900938380.14953703323207
0.8919.78195599964080.15242602098329
0.919.84452700368230.152999262121392
0.9119.91121461374940.15429571964998
0.9219.9842526022350.160282891170527
0.9320.06722125953430.173340490529938
0.9420.16320531291420.189800630817709
0.9520.27163137508070.197718204698601
0.9620.38699646611440.185051781645667
0.9720.50684096367080.156854847293595
0.9820.65852929946060.159257351019078
0.9920.91188311782080.281139379315551

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.0005151115989 & 0.222997903025665 \tabularnewline
0.02 & 14.2631076209087 & 0.325939198583398 \tabularnewline
0.03 & 14.5463345397937 & 0.391248009842205 \tabularnewline
0.04 & 14.8123868880358 & 0.365409903462938 \tabularnewline
0.05 & 15.030711099088 & 0.30191873743391 \tabularnewline
0.06 & 15.1981279905949 & 0.250869391049929 \tabularnewline
0.07 & 15.3294898190822 & 0.226426151028764 \tabularnewline
0.08 & 15.4418393161436 & 0.226063812741606 \tabularnewline
0.09 & 15.5478941810073 & 0.242976528466022 \tabularnewline
0.1 & 15.6554646349506 & 0.269756684509008 \tabularnewline
0.11 & 15.7683205987462 & 0.299474283592963 \tabularnewline
0.12 & 15.8870593718456 & 0.325685561754587 \tabularnewline
0.13 & 16.0098529012221 & 0.342840498703145 \tabularnewline
0.14 & 16.133240439808 & 0.347273650816764 \tabularnewline
0.15 & 16.2530722341736 & 0.338092693754319 \tabularnewline
0.16 & 16.3655155690731 & 0.317444125130691 \tabularnewline
0.17 & 16.467885157608 & 0.289749120332246 \tabularnewline
0.18 & 16.5590667176362 & 0.260168273291453 \tabularnewline
0.19 & 16.6394489750135 & 0.233260757737076 \tabularnewline
0.2 & 16.7104680603116 & 0.21156901054799 \tabularnewline
0.21 & 16.7739952126172 & 0.195516000137551 \tabularnewline
0.22 & 16.8318086244712 & 0.183967791582944 \tabularnewline
0.23 & 16.885297782537 & 0.175249215075285 \tabularnewline
0.24 & 16.9354177046739 & 0.168119244067136 \tabularnewline
0.25 & 16.9828093091363 & 0.162039109864069 \tabularnewline
0.26 & 17.0279665829941 & 0.157172413980772 \tabularnewline
0.27 & 17.0713560994614 & 0.153831642978333 \tabularnewline
0.28 & 17.1134493672798 & 0.152117108147453 \tabularnewline
0.29 & 17.1546805731473 & 0.151782373791882 \tabularnewline
0.3 & 17.1953715862621 & 0.152223271989991 \tabularnewline
0.31 & 17.2356692856994 & 0.152646198178528 \tabularnewline
0.32 & 17.2755253403093 & 0.152231107137552 \tabularnewline
0.33 & 17.3147269337212 & 0.150383112570659 \tabularnewline
0.34 & 17.3529677365458 & 0.146986294221039 \tabularnewline
0.35 & 17.3899367166469 & 0.142158785080245 \tabularnewline
0.36 & 17.4253997049562 & 0.13653000366126 \tabularnewline
0.37 & 17.4592541160232 & 0.130666643433567 \tabularnewline
0.38 & 17.4915480287303 & 0.125207214560186 \tabularnewline
0.39 & 17.5224666786239 & 0.120793948108055 \tabularnewline
0.4 & 17.5522978383434 & 0.117701734258421 \tabularnewline
0.41 & 17.581389805803 & 0.11599499928751 \tabularnewline
0.42 & 17.6101120461921 & 0.11578915499345 \tabularnewline
0.43 & 17.6388219724505 & 0.116990749997563 \tabularnewline
0.44 & 17.6678358967562 & 0.119304154427598 \tabularnewline
0.45 & 17.6974006134481 & 0.12246959294837 \tabularnewline
0.46 & 17.7276646512507 & 0.126071112077493 \tabularnewline
0.47 & 17.7586529499442 & 0.129401684178025 \tabularnewline
0.48 & 17.7902526060055 & 0.131890510406846 \tabularnewline
0.49 & 17.822217996939 & 0.133041639278252 \tabularnewline
0.5 & 17.8542002150356 & 0.13243411935202 \tabularnewline
0.51 & 17.8857992955189 & 0.129948725220027 \tabularnewline
0.52 & 17.9166305325495 & 0.12582152840968 \tabularnewline
0.53 & 17.9463910122738 & 0.120495057682928 \tabularnewline
0.54 & 17.9749115126711 & 0.114719238409078 \tabularnewline
0.55 & 18.0021827587541 & 0.109205139225467 \tabularnewline
0.56 & 18.0283524307619 & 0.104639220335745 \tabularnewline
0.57 & 18.0536976319313 & 0.101413714947371 \tabularnewline
0.58 & 18.0785837924969 & 0.0999149102183858 \tabularnewline
0.59 & 18.1034233008488 & 0.100163212505878 \tabularnewline
0.6 & 18.1286453298331 & 0.102083326683401 \tabularnewline
0.61 & 18.1546836645541 & 0.105613166725806 \tabularnewline
0.62 & 18.1819836279972 & 0.110856182226894 \tabularnewline
0.63 & 18.211023740346 & 0.117889562500474 \tabularnewline
0.64 & 18.2423430801008 & 0.126934391878957 \tabularnewline
0.65 & 18.2765618200107 & 0.138390167832425 \tabularnewline
0.66 & 18.3143811245409 & 0.152551103971354 \tabularnewline
0.67 & 18.3565512750692 & 0.169455389182717 \tabularnewline
0.68 & 18.4038047826214 & 0.188880465104856 \tabularnewline
0.69 & 18.4567631423483 & 0.210062508053971 \tabularnewline
0.7 & 18.5158370682717 & 0.231882880927127 \tabularnewline
0.71 & 18.5811438884702 & 0.253051631134638 \tabularnewline
0.72 & 18.6524580516304 & 0.272147637486597 \tabularnewline
0.73 & 18.729194189612 & 0.287950095707663 \tabularnewline
0.74 & 18.8104074752907 & 0.299393149985174 \tabularnewline
0.75 & 18.894795715755 & 0.305351736440006 \tabularnewline
0.76 & 18.9807063784118 & 0.304864580223973 \tabularnewline
0.77 & 19.0661794510933 & 0.297040696464964 \tabularnewline
0.78 & 19.1490725322965 & 0.28150056829761 \tabularnewline
0.79 & 19.2272997612501 & 0.258932237340979 \tabularnewline
0.8 & 19.2991707015353 & 0.231226781032617 \tabularnewline
0.81 & 19.363758758331 & 0.20148524099204 \tabularnewline
0.82 & 19.4211883211014 & 0.173595242643761 \tabularnewline
0.83 & 19.4727241098187 & 0.151376758989044 \tabularnewline
0.84 & 19.5205806178164 & 0.137804949784164 \tabularnewline
0.85 & 19.567444641615 & 0.133668465956461 \tabularnewline
0.86 & 19.6158169537587 & 0.136990023911482 \tabularnewline
0.87 & 19.6674026876248 & 0.143642480222088 \tabularnewline
0.88 & 19.7228390093838 & 0.14953703323207 \tabularnewline
0.89 & 19.7819559996408 & 0.15242602098329 \tabularnewline
0.9 & 19.8445270036823 & 0.152999262121392 \tabularnewline
0.91 & 19.9112146137494 & 0.15429571964998 \tabularnewline
0.92 & 19.984252602235 & 0.160282891170527 \tabularnewline
0.93 & 20.0672212595343 & 0.173340490529938 \tabularnewline
0.94 & 20.1632053129142 & 0.189800630817709 \tabularnewline
0.95 & 20.2716313750807 & 0.197718204698601 \tabularnewline
0.96 & 20.3869964661144 & 0.185051781645667 \tabularnewline
0.97 & 20.5068409636708 & 0.156854847293595 \tabularnewline
0.98 & 20.6585292994606 & 0.159257351019078 \tabularnewline
0.99 & 20.9118831178208 & 0.281139379315551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128051&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]14.0005151115989[/C][C]0.222997903025665[/C][/ROW]
[ROW][C]0.02[/C][C]14.2631076209087[/C][C]0.325939198583398[/C][/ROW]
[ROW][C]0.03[/C][C]14.5463345397937[/C][C]0.391248009842205[/C][/ROW]
[ROW][C]0.04[/C][C]14.8123868880358[/C][C]0.365409903462938[/C][/ROW]
[ROW][C]0.05[/C][C]15.030711099088[/C][C]0.30191873743391[/C][/ROW]
[ROW][C]0.06[/C][C]15.1981279905949[/C][C]0.250869391049929[/C][/ROW]
[ROW][C]0.07[/C][C]15.3294898190822[/C][C]0.226426151028764[/C][/ROW]
[ROW][C]0.08[/C][C]15.4418393161436[/C][C]0.226063812741606[/C][/ROW]
[ROW][C]0.09[/C][C]15.5478941810073[/C][C]0.242976528466022[/C][/ROW]
[ROW][C]0.1[/C][C]15.6554646349506[/C][C]0.269756684509008[/C][/ROW]
[ROW][C]0.11[/C][C]15.7683205987462[/C][C]0.299474283592963[/C][/ROW]
[ROW][C]0.12[/C][C]15.8870593718456[/C][C]0.325685561754587[/C][/ROW]
[ROW][C]0.13[/C][C]16.0098529012221[/C][C]0.342840498703145[/C][/ROW]
[ROW][C]0.14[/C][C]16.133240439808[/C][C]0.347273650816764[/C][/ROW]
[ROW][C]0.15[/C][C]16.2530722341736[/C][C]0.338092693754319[/C][/ROW]
[ROW][C]0.16[/C][C]16.3655155690731[/C][C]0.317444125130691[/C][/ROW]
[ROW][C]0.17[/C][C]16.467885157608[/C][C]0.289749120332246[/C][/ROW]
[ROW][C]0.18[/C][C]16.5590667176362[/C][C]0.260168273291453[/C][/ROW]
[ROW][C]0.19[/C][C]16.6394489750135[/C][C]0.233260757737076[/C][/ROW]
[ROW][C]0.2[/C][C]16.7104680603116[/C][C]0.21156901054799[/C][/ROW]
[ROW][C]0.21[/C][C]16.7739952126172[/C][C]0.195516000137551[/C][/ROW]
[ROW][C]0.22[/C][C]16.8318086244712[/C][C]0.183967791582944[/C][/ROW]
[ROW][C]0.23[/C][C]16.885297782537[/C][C]0.175249215075285[/C][/ROW]
[ROW][C]0.24[/C][C]16.9354177046739[/C][C]0.168119244067136[/C][/ROW]
[ROW][C]0.25[/C][C]16.9828093091363[/C][C]0.162039109864069[/C][/ROW]
[ROW][C]0.26[/C][C]17.0279665829941[/C][C]0.157172413980772[/C][/ROW]
[ROW][C]0.27[/C][C]17.0713560994614[/C][C]0.153831642978333[/C][/ROW]
[ROW][C]0.28[/C][C]17.1134493672798[/C][C]0.152117108147453[/C][/ROW]
[ROW][C]0.29[/C][C]17.1546805731473[/C][C]0.151782373791882[/C][/ROW]
[ROW][C]0.3[/C][C]17.1953715862621[/C][C]0.152223271989991[/C][/ROW]
[ROW][C]0.31[/C][C]17.2356692856994[/C][C]0.152646198178528[/C][/ROW]
[ROW][C]0.32[/C][C]17.2755253403093[/C][C]0.152231107137552[/C][/ROW]
[ROW][C]0.33[/C][C]17.3147269337212[/C][C]0.150383112570659[/C][/ROW]
[ROW][C]0.34[/C][C]17.3529677365458[/C][C]0.146986294221039[/C][/ROW]
[ROW][C]0.35[/C][C]17.3899367166469[/C][C]0.142158785080245[/C][/ROW]
[ROW][C]0.36[/C][C]17.4253997049562[/C][C]0.13653000366126[/C][/ROW]
[ROW][C]0.37[/C][C]17.4592541160232[/C][C]0.130666643433567[/C][/ROW]
[ROW][C]0.38[/C][C]17.4915480287303[/C][C]0.125207214560186[/C][/ROW]
[ROW][C]0.39[/C][C]17.5224666786239[/C][C]0.120793948108055[/C][/ROW]
[ROW][C]0.4[/C][C]17.5522978383434[/C][C]0.117701734258421[/C][/ROW]
[ROW][C]0.41[/C][C]17.581389805803[/C][C]0.11599499928751[/C][/ROW]
[ROW][C]0.42[/C][C]17.6101120461921[/C][C]0.11578915499345[/C][/ROW]
[ROW][C]0.43[/C][C]17.6388219724505[/C][C]0.116990749997563[/C][/ROW]
[ROW][C]0.44[/C][C]17.6678358967562[/C][C]0.119304154427598[/C][/ROW]
[ROW][C]0.45[/C][C]17.6974006134481[/C][C]0.12246959294837[/C][/ROW]
[ROW][C]0.46[/C][C]17.7276646512507[/C][C]0.126071112077493[/C][/ROW]
[ROW][C]0.47[/C][C]17.7586529499442[/C][C]0.129401684178025[/C][/ROW]
[ROW][C]0.48[/C][C]17.7902526060055[/C][C]0.131890510406846[/C][/ROW]
[ROW][C]0.49[/C][C]17.822217996939[/C][C]0.133041639278252[/C][/ROW]
[ROW][C]0.5[/C][C]17.8542002150356[/C][C]0.13243411935202[/C][/ROW]
[ROW][C]0.51[/C][C]17.8857992955189[/C][C]0.129948725220027[/C][/ROW]
[ROW][C]0.52[/C][C]17.9166305325495[/C][C]0.12582152840968[/C][/ROW]
[ROW][C]0.53[/C][C]17.9463910122738[/C][C]0.120495057682928[/C][/ROW]
[ROW][C]0.54[/C][C]17.9749115126711[/C][C]0.114719238409078[/C][/ROW]
[ROW][C]0.55[/C][C]18.0021827587541[/C][C]0.109205139225467[/C][/ROW]
[ROW][C]0.56[/C][C]18.0283524307619[/C][C]0.104639220335745[/C][/ROW]
[ROW][C]0.57[/C][C]18.0536976319313[/C][C]0.101413714947371[/C][/ROW]
[ROW][C]0.58[/C][C]18.0785837924969[/C][C]0.0999149102183858[/C][/ROW]
[ROW][C]0.59[/C][C]18.1034233008488[/C][C]0.100163212505878[/C][/ROW]
[ROW][C]0.6[/C][C]18.1286453298331[/C][C]0.102083326683401[/C][/ROW]
[ROW][C]0.61[/C][C]18.1546836645541[/C][C]0.105613166725806[/C][/ROW]
[ROW][C]0.62[/C][C]18.1819836279972[/C][C]0.110856182226894[/C][/ROW]
[ROW][C]0.63[/C][C]18.211023740346[/C][C]0.117889562500474[/C][/ROW]
[ROW][C]0.64[/C][C]18.2423430801008[/C][C]0.126934391878957[/C][/ROW]
[ROW][C]0.65[/C][C]18.2765618200107[/C][C]0.138390167832425[/C][/ROW]
[ROW][C]0.66[/C][C]18.3143811245409[/C][C]0.152551103971354[/C][/ROW]
[ROW][C]0.67[/C][C]18.3565512750692[/C][C]0.169455389182717[/C][/ROW]
[ROW][C]0.68[/C][C]18.4038047826214[/C][C]0.188880465104856[/C][/ROW]
[ROW][C]0.69[/C][C]18.4567631423483[/C][C]0.210062508053971[/C][/ROW]
[ROW][C]0.7[/C][C]18.5158370682717[/C][C]0.231882880927127[/C][/ROW]
[ROW][C]0.71[/C][C]18.5811438884702[/C][C]0.253051631134638[/C][/ROW]
[ROW][C]0.72[/C][C]18.6524580516304[/C][C]0.272147637486597[/C][/ROW]
[ROW][C]0.73[/C][C]18.729194189612[/C][C]0.287950095707663[/C][/ROW]
[ROW][C]0.74[/C][C]18.8104074752907[/C][C]0.299393149985174[/C][/ROW]
[ROW][C]0.75[/C][C]18.894795715755[/C][C]0.305351736440006[/C][/ROW]
[ROW][C]0.76[/C][C]18.9807063784118[/C][C]0.304864580223973[/C][/ROW]
[ROW][C]0.77[/C][C]19.0661794510933[/C][C]0.297040696464964[/C][/ROW]
[ROW][C]0.78[/C][C]19.1490725322965[/C][C]0.28150056829761[/C][/ROW]
[ROW][C]0.79[/C][C]19.2272997612501[/C][C]0.258932237340979[/C][/ROW]
[ROW][C]0.8[/C][C]19.2991707015353[/C][C]0.231226781032617[/C][/ROW]
[ROW][C]0.81[/C][C]19.363758758331[/C][C]0.20148524099204[/C][/ROW]
[ROW][C]0.82[/C][C]19.4211883211014[/C][C]0.173595242643761[/C][/ROW]
[ROW][C]0.83[/C][C]19.4727241098187[/C][C]0.151376758989044[/C][/ROW]
[ROW][C]0.84[/C][C]19.5205806178164[/C][C]0.137804949784164[/C][/ROW]
[ROW][C]0.85[/C][C]19.567444641615[/C][C]0.133668465956461[/C][/ROW]
[ROW][C]0.86[/C][C]19.6158169537587[/C][C]0.136990023911482[/C][/ROW]
[ROW][C]0.87[/C][C]19.6674026876248[/C][C]0.143642480222088[/C][/ROW]
[ROW][C]0.88[/C][C]19.7228390093838[/C][C]0.14953703323207[/C][/ROW]
[ROW][C]0.89[/C][C]19.7819559996408[/C][C]0.15242602098329[/C][/ROW]
[ROW][C]0.9[/C][C]19.8445270036823[/C][C]0.152999262121392[/C][/ROW]
[ROW][C]0.91[/C][C]19.9112146137494[/C][C]0.15429571964998[/C][/ROW]
[ROW][C]0.92[/C][C]19.984252602235[/C][C]0.160282891170527[/C][/ROW]
[ROW][C]0.93[/C][C]20.0672212595343[/C][C]0.173340490529938[/C][/ROW]
[ROW][C]0.94[/C][C]20.1632053129142[/C][C]0.189800630817709[/C][/ROW]
[ROW][C]0.95[/C][C]20.2716313750807[/C][C]0.197718204698601[/C][/ROW]
[ROW][C]0.96[/C][C]20.3869964661144[/C][C]0.185051781645667[/C][/ROW]
[ROW][C]0.97[/C][C]20.5068409636708[/C][C]0.156854847293595[/C][/ROW]
[ROW][C]0.98[/C][C]20.6585292994606[/C][C]0.159257351019078[/C][/ROW]
[ROW][C]0.99[/C][C]20.9118831178208[/C][C]0.281139379315551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128051&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
0.0114.00051511159890.222997903025665
0.0214.26310762090870.325939198583398
0.0314.54633453979370.391248009842205
0.0414.81238688803580.365409903462938
0.0515.0307110990880.30191873743391
0.0615.19812799059490.250869391049929
0.0715.32948981908220.226426151028764
0.0815.44183931614360.226063812741606
0.0915.54789418100730.242976528466022
0.115.65546463495060.269756684509008
0.1115.76832059874620.299474283592963
0.1215.88705937184560.325685561754587
0.1316.00985290122210.342840498703145
0.1416.1332404398080.347273650816764
0.1516.25307223417360.338092693754319
0.1616.36551556907310.317444125130691
0.1716.4678851576080.289749120332246
0.1816.55906671763620.260168273291453
0.1916.63944897501350.233260757737076
0.216.71046806031160.21156901054799
0.2116.77399521261720.195516000137551
0.2216.83180862447120.183967791582944
0.2316.8852977825370.175249215075285
0.2416.93541770467390.168119244067136
0.2516.98280930913630.162039109864069
0.2617.02796658299410.157172413980772
0.2717.07135609946140.153831642978333
0.2817.11344936727980.152117108147453
0.2917.15468057314730.151782373791882
0.317.19537158626210.152223271989991
0.3117.23566928569940.152646198178528
0.3217.27552534030930.152231107137552
0.3317.31472693372120.150383112570659
0.3417.35296773654580.146986294221039
0.3517.38993671664690.142158785080245
0.3617.42539970495620.13653000366126
0.3717.45925411602320.130666643433567
0.3817.49154802873030.125207214560186
0.3917.52246667862390.120793948108055
0.417.55229783834340.117701734258421
0.4117.5813898058030.11599499928751
0.4217.61011204619210.11578915499345
0.4317.63882197245050.116990749997563
0.4417.66783589675620.119304154427598
0.4517.69740061344810.12246959294837
0.4617.72766465125070.126071112077493
0.4717.75865294994420.129401684178025
0.4817.79025260600550.131890510406846
0.4917.8222179969390.133041639278252
0.517.85420021503560.13243411935202
0.5117.88579929551890.129948725220027
0.5217.91663053254950.12582152840968
0.5317.94639101227380.120495057682928
0.5417.97491151267110.114719238409078
0.5518.00218275875410.109205139225467
0.5618.02835243076190.104639220335745
0.5718.05369763193130.101413714947371
0.5818.07858379249690.0999149102183858
0.5918.10342330084880.100163212505878
0.618.12864532983310.102083326683401
0.6118.15468366455410.105613166725806
0.6218.18198362799720.110856182226894
0.6318.2110237403460.117889562500474
0.6418.24234308010080.126934391878957
0.6518.27656182001070.138390167832425
0.6618.31438112454090.152551103971354
0.6718.35655127506920.169455389182717
0.6818.40380478262140.188880465104856
0.6918.45676314234830.210062508053971
0.718.51583706827170.231882880927127
0.7118.58114388847020.253051631134638
0.7218.65245805163040.272147637486597
0.7318.7291941896120.287950095707663
0.7418.81040747529070.299393149985174
0.7518.8947957157550.305351736440006
0.7618.98070637841180.304864580223973
0.7719.06617945109330.297040696464964
0.7819.14907253229650.28150056829761
0.7919.22729976125010.258932237340979
0.819.29917070153530.231226781032617
0.8119.3637587583310.20148524099204
0.8219.42118832110140.173595242643761
0.8319.47272410981870.151376758989044
0.8419.52058061781640.137804949784164
0.8519.5674446416150.133668465956461
0.8619.61581695375870.136990023911482
0.8719.66740268762480.143642480222088
0.8819.72283900938380.14953703323207
0.8919.78195599964080.15242602098329
0.919.84452700368230.152999262121392
0.9119.91121461374940.15429571964998
0.9219.9842526022350.160282891170527
0.9320.06722125953430.173340490529938
0.9420.16320531291420.189800630817709
0.9520.27163137508070.197718204698601
0.9620.38699646611440.185051781645667
0.9720.50684096367080.156854847293595
0.9820.65852929946060.159257351019078
0.9920.91188311782080.281139379315551


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')