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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 computationThu, 03 Mar 2016 21:31:20 +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/2016/Mar/03/t14570408856gz2t9wgfs92rna.htm/, Retrieved Fri, 03 May 2024 07:33:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293320, Retrieved Fri, 03 May 2024 07:33:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

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] [Opgave 4 oef 1a] [2016-03-03 21:14:40] [74be16979710d4c4e7c6647856088456]
- R  D    [Harrell-Davis Quantiles] [Opgave 4 oef 2a] [2016-03-03 21:31:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,86
96,89
96,9
96,94
96,88
96,89
96,89
96,95
97,03
97,29
97,37
97,41
97,41
97,32
97,33
97,38
97,47
97,5
97,5
97,58
97,7
97,9
97,98
98,03
98,03
97,94
98,12
98,19
98,34
98,42
98,43
98,45
98,77
99,24
99,46
99,54
99,55
99,24
99,43
99,47
99,57
99,62
99,64
99,75
99,85
100,28
100,52
100,57
100,57
100,27
100,27
100,18
100,16
100,18
100,18
100,59
100,69
101,06
101,15
101,16
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

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293320&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293320&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.86987149942250.0150351577503868
0.0296.88218969318990.0127073500728448
0.0396.89443171900490.0227925192811986
0.0496.91200703090960.0478605124970411
0.0596.94109998860410.0845620283556057
0.0696.9849287162980.125067128481091
0.0797.04245789585490.158226682841942
0.0897.10883957360190.175203890261082
0.0997.17741531278910.174257008557581
0.197.2423339356970.160538795435579
0.1197.30046054204710.143515485072866
0.1297.35183529359280.132417025710547
0.1397.39887656874820.132545692150105
0.1497.4450494970040.144848502345469
0.1597.49365846895410.166271460643215
0.1697.54708137887930.192604479129417
0.1797.60647725410930.219607458640213
0.1897.67187320356150.243943736754948
0.1997.74250911018180.263988421082342
0.297.81731088077840.279883865804939
0.2197.89535459764820.293529153876242
0.2297.97619435989920.30753936502752
0.2398.0599719691470.324547968268137
0.2498.14729724397810.345878088311666
0.2598.23895649937780.371038982064279
0.2698.33554909479250.398350518522099
0.2798.43715898558860.424292153487248
0.2898.54314599087370.445632639965508
0.2998.65210285291570.458669932309453
0.398.76198129807290.461326472035255
0.3198.87035227598650.452253437063165
0.3298.97473904580460.432229243895581
0.3399.07295156400640.4030877595211
0.3499.16335823104480.368075838450413
0.3599.24505312692470.330212729745213
0.3699.31790552491060.293167965042945
0.3799.38250423538440.259949564868059
0.3899.44002513055430.23296082688811
0.3999.49205408534960.213673632617815
0.499.54039266558220.202979192000128
0.4199.58686594524460.200810003159515
0.4299.63314594301740.20581380397207
0.4399.68060246251510.216451831774007
0.4499.73019428911010.230100551425222
0.4599.7824142689290.244410213856595
0.4699.83729832987720.257173676153811
0.4799.89449958424450.267112148919957
0.4899.95341583274080.273341381269031
0.49100.0133461038680.275662213352658
0.5100.0736441141490.275091498422122
0.51100.1338371305330.272707875670467
0.52100.1936880335910.269717962078248
0.53100.2531934651230.267615652237529
0.54100.3125267251190.266788360832257
0.55100.3719455387820.267459893511994
0.56100.431689038510.269180173879699
0.57100.4918854767830.27127889531436
0.58100.5524850299370.272655227267183
0.59100.6132241958160.272247551666018
0.6100.6736224438810.269161343328459
0.61100.7330087137430.262603754930481
0.62100.7905740758970.252206918102026
0.63100.8454456901760.237940281433952
0.64100.8967750429550.219877822779903
0.65100.9438305333350.198849132877891
0.66100.9860821506880.175874640602064
0.67101.0232658461170.15244203715386
0.68101.0554181490230.129556232559945
0.69101.0828772689720.108730180580003
0.7101.1062538954030.0910010646258498
0.71101.12638128920.0771726810729399
0.72101.1442585869270.0679811962654211
0.73101.1610029262970.0637085647376854
0.74101.1778251285880.064533852983627
0.75101.1960401272090.0706976239440636
0.76101.2171158783450.0822246838992403
0.77101.2427507918410.100027991879683
0.78101.274948319290.125008655465697
0.79101.3160316430050.157884931798814
0.8101.3685235649410.199217643458569
0.81101.4348267700030.247693130501555
0.82101.5166957522580.299806936845632
0.83101.6145920897870.34963532393332
0.84101.727122969640.39013290311773
0.85101.8508138849870.414197356630426
0.86101.9804035246570.417041197747849
0.87102.1096745926470.397998431896162
0.88102.2326331213330.36049121634868
0.89102.3447450856750.311361798896975
0.9102.4440025020690.259295570459682
0.91102.5317581839150.213703176055969
0.92102.6133533429750.184585304425966
0.93102.6983792822050.181787848238659
0.94102.7999506224250.209791171744058
0.95102.931864396750.260273994803801
0.96103.10239815190.311455468184784
0.97103.304644252120.328470539355048
0.98103.5078553658520.272864439270189
0.99103.6623807966920.143227220091858

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.8698714994225 & 0.0150351577503868 \tabularnewline
0.02 & 96.8821896931899 & 0.0127073500728448 \tabularnewline
0.03 & 96.8944317190049 & 0.0227925192811986 \tabularnewline
0.04 & 96.9120070309096 & 0.0478605124970411 \tabularnewline
0.05 & 96.9410999886041 & 0.0845620283556057 \tabularnewline
0.06 & 96.984928716298 & 0.125067128481091 \tabularnewline
0.07 & 97.0424578958549 & 0.158226682841942 \tabularnewline
0.08 & 97.1088395736019 & 0.175203890261082 \tabularnewline
0.09 & 97.1774153127891 & 0.174257008557581 \tabularnewline
0.1 & 97.242333935697 & 0.160538795435579 \tabularnewline
0.11 & 97.3004605420471 & 0.143515485072866 \tabularnewline
0.12 & 97.3518352935928 & 0.132417025710547 \tabularnewline
0.13 & 97.3988765687482 & 0.132545692150105 \tabularnewline
0.14 & 97.445049497004 & 0.144848502345469 \tabularnewline
0.15 & 97.4936584689541 & 0.166271460643215 \tabularnewline
0.16 & 97.5470813788793 & 0.192604479129417 \tabularnewline
0.17 & 97.6064772541093 & 0.219607458640213 \tabularnewline
0.18 & 97.6718732035615 & 0.243943736754948 \tabularnewline
0.19 & 97.7425091101818 & 0.263988421082342 \tabularnewline
0.2 & 97.8173108807784 & 0.279883865804939 \tabularnewline
0.21 & 97.8953545976482 & 0.293529153876242 \tabularnewline
0.22 & 97.9761943598992 & 0.30753936502752 \tabularnewline
0.23 & 98.059971969147 & 0.324547968268137 \tabularnewline
0.24 & 98.1472972439781 & 0.345878088311666 \tabularnewline
0.25 & 98.2389564993778 & 0.371038982064279 \tabularnewline
0.26 & 98.3355490947925 & 0.398350518522099 \tabularnewline
0.27 & 98.4371589855886 & 0.424292153487248 \tabularnewline
0.28 & 98.5431459908737 & 0.445632639965508 \tabularnewline
0.29 & 98.6521028529157 & 0.458669932309453 \tabularnewline
0.3 & 98.7619812980729 & 0.461326472035255 \tabularnewline
0.31 & 98.8703522759865 & 0.452253437063165 \tabularnewline
0.32 & 98.9747390458046 & 0.432229243895581 \tabularnewline
0.33 & 99.0729515640064 & 0.4030877595211 \tabularnewline
0.34 & 99.1633582310448 & 0.368075838450413 \tabularnewline
0.35 & 99.2450531269247 & 0.330212729745213 \tabularnewline
0.36 & 99.3179055249106 & 0.293167965042945 \tabularnewline
0.37 & 99.3825042353844 & 0.259949564868059 \tabularnewline
0.38 & 99.4400251305543 & 0.23296082688811 \tabularnewline
0.39 & 99.4920540853496 & 0.213673632617815 \tabularnewline
0.4 & 99.5403926655822 & 0.202979192000128 \tabularnewline
0.41 & 99.5868659452446 & 0.200810003159515 \tabularnewline
0.42 & 99.6331459430174 & 0.20581380397207 \tabularnewline
0.43 & 99.6806024625151 & 0.216451831774007 \tabularnewline
0.44 & 99.7301942891101 & 0.230100551425222 \tabularnewline
0.45 & 99.782414268929 & 0.244410213856595 \tabularnewline
0.46 & 99.8372983298772 & 0.257173676153811 \tabularnewline
0.47 & 99.8944995842445 & 0.267112148919957 \tabularnewline
0.48 & 99.9534158327408 & 0.273341381269031 \tabularnewline
0.49 & 100.013346103868 & 0.275662213352658 \tabularnewline
0.5 & 100.073644114149 & 0.275091498422122 \tabularnewline
0.51 & 100.133837130533 & 0.272707875670467 \tabularnewline
0.52 & 100.193688033591 & 0.269717962078248 \tabularnewline
0.53 & 100.253193465123 & 0.267615652237529 \tabularnewline
0.54 & 100.312526725119 & 0.266788360832257 \tabularnewline
0.55 & 100.371945538782 & 0.267459893511994 \tabularnewline
0.56 & 100.43168903851 & 0.269180173879699 \tabularnewline
0.57 & 100.491885476783 & 0.27127889531436 \tabularnewline
0.58 & 100.552485029937 & 0.272655227267183 \tabularnewline
0.59 & 100.613224195816 & 0.272247551666018 \tabularnewline
0.6 & 100.673622443881 & 0.269161343328459 \tabularnewline
0.61 & 100.733008713743 & 0.262603754930481 \tabularnewline
0.62 & 100.790574075897 & 0.252206918102026 \tabularnewline
0.63 & 100.845445690176 & 0.237940281433952 \tabularnewline
0.64 & 100.896775042955 & 0.219877822779903 \tabularnewline
0.65 & 100.943830533335 & 0.198849132877891 \tabularnewline
0.66 & 100.986082150688 & 0.175874640602064 \tabularnewline
0.67 & 101.023265846117 & 0.15244203715386 \tabularnewline
0.68 & 101.055418149023 & 0.129556232559945 \tabularnewline
0.69 & 101.082877268972 & 0.108730180580003 \tabularnewline
0.7 & 101.106253895403 & 0.0910010646258498 \tabularnewline
0.71 & 101.1263812892 & 0.0771726810729399 \tabularnewline
0.72 & 101.144258586927 & 0.0679811962654211 \tabularnewline
0.73 & 101.161002926297 & 0.0637085647376854 \tabularnewline
0.74 & 101.177825128588 & 0.064533852983627 \tabularnewline
0.75 & 101.196040127209 & 0.0706976239440636 \tabularnewline
0.76 & 101.217115878345 & 0.0822246838992403 \tabularnewline
0.77 & 101.242750791841 & 0.100027991879683 \tabularnewline
0.78 & 101.27494831929 & 0.125008655465697 \tabularnewline
0.79 & 101.316031643005 & 0.157884931798814 \tabularnewline
0.8 & 101.368523564941 & 0.199217643458569 \tabularnewline
0.81 & 101.434826770003 & 0.247693130501555 \tabularnewline
0.82 & 101.516695752258 & 0.299806936845632 \tabularnewline
0.83 & 101.614592089787 & 0.34963532393332 \tabularnewline
0.84 & 101.72712296964 & 0.39013290311773 \tabularnewline
0.85 & 101.850813884987 & 0.414197356630426 \tabularnewline
0.86 & 101.980403524657 & 0.417041197747849 \tabularnewline
0.87 & 102.109674592647 & 0.397998431896162 \tabularnewline
0.88 & 102.232633121333 & 0.36049121634868 \tabularnewline
0.89 & 102.344745085675 & 0.311361798896975 \tabularnewline
0.9 & 102.444002502069 & 0.259295570459682 \tabularnewline
0.91 & 102.531758183915 & 0.213703176055969 \tabularnewline
0.92 & 102.613353342975 & 0.184585304425966 \tabularnewline
0.93 & 102.698379282205 & 0.181787848238659 \tabularnewline
0.94 & 102.799950622425 & 0.209791171744058 \tabularnewline
0.95 & 102.93186439675 & 0.260273994803801 \tabularnewline
0.96 & 103.1023981519 & 0.311455468184784 \tabularnewline
0.97 & 103.30464425212 & 0.328470539355048 \tabularnewline
0.98 & 103.507855365852 & 0.272864439270189 \tabularnewline
0.99 & 103.662380796692 & 0.143227220091858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293320&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]96.8698714994225[/C][C]0.0150351577503868[/C][/ROW]
[ROW][C]0.02[/C][C]96.8821896931899[/C][C]0.0127073500728448[/C][/ROW]
[ROW][C]0.03[/C][C]96.8944317190049[/C][C]0.0227925192811986[/C][/ROW]
[ROW][C]0.04[/C][C]96.9120070309096[/C][C]0.0478605124970411[/C][/ROW]
[ROW][C]0.05[/C][C]96.9410999886041[/C][C]0.0845620283556057[/C][/ROW]
[ROW][C]0.06[/C][C]96.984928716298[/C][C]0.125067128481091[/C][/ROW]
[ROW][C]0.07[/C][C]97.0424578958549[/C][C]0.158226682841942[/C][/ROW]
[ROW][C]0.08[/C][C]97.1088395736019[/C][C]0.175203890261082[/C][/ROW]
[ROW][C]0.09[/C][C]97.1774153127891[/C][C]0.174257008557581[/C][/ROW]
[ROW][C]0.1[/C][C]97.242333935697[/C][C]0.160538795435579[/C][/ROW]
[ROW][C]0.11[/C][C]97.3004605420471[/C][C]0.143515485072866[/C][/ROW]
[ROW][C]0.12[/C][C]97.3518352935928[/C][C]0.132417025710547[/C][/ROW]
[ROW][C]0.13[/C][C]97.3988765687482[/C][C]0.132545692150105[/C][/ROW]
[ROW][C]0.14[/C][C]97.445049497004[/C][C]0.144848502345469[/C][/ROW]
[ROW][C]0.15[/C][C]97.4936584689541[/C][C]0.166271460643215[/C][/ROW]
[ROW][C]0.16[/C][C]97.5470813788793[/C][C]0.192604479129417[/C][/ROW]
[ROW][C]0.17[/C][C]97.6064772541093[/C][C]0.219607458640213[/C][/ROW]
[ROW][C]0.18[/C][C]97.6718732035615[/C][C]0.243943736754948[/C][/ROW]
[ROW][C]0.19[/C][C]97.7425091101818[/C][C]0.263988421082342[/C][/ROW]
[ROW][C]0.2[/C][C]97.8173108807784[/C][C]0.279883865804939[/C][/ROW]
[ROW][C]0.21[/C][C]97.8953545976482[/C][C]0.293529153876242[/C][/ROW]
[ROW][C]0.22[/C][C]97.9761943598992[/C][C]0.30753936502752[/C][/ROW]
[ROW][C]0.23[/C][C]98.059971969147[/C][C]0.324547968268137[/C][/ROW]
[ROW][C]0.24[/C][C]98.1472972439781[/C][C]0.345878088311666[/C][/ROW]
[ROW][C]0.25[/C][C]98.2389564993778[/C][C]0.371038982064279[/C][/ROW]
[ROW][C]0.26[/C][C]98.3355490947925[/C][C]0.398350518522099[/C][/ROW]
[ROW][C]0.27[/C][C]98.4371589855886[/C][C]0.424292153487248[/C][/ROW]
[ROW][C]0.28[/C][C]98.5431459908737[/C][C]0.445632639965508[/C][/ROW]
[ROW][C]0.29[/C][C]98.6521028529157[/C][C]0.458669932309453[/C][/ROW]
[ROW][C]0.3[/C][C]98.7619812980729[/C][C]0.461326472035255[/C][/ROW]
[ROW][C]0.31[/C][C]98.8703522759865[/C][C]0.452253437063165[/C][/ROW]
[ROW][C]0.32[/C][C]98.9747390458046[/C][C]0.432229243895581[/C][/ROW]
[ROW][C]0.33[/C][C]99.0729515640064[/C][C]0.4030877595211[/C][/ROW]
[ROW][C]0.34[/C][C]99.1633582310448[/C][C]0.368075838450413[/C][/ROW]
[ROW][C]0.35[/C][C]99.2450531269247[/C][C]0.330212729745213[/C][/ROW]
[ROW][C]0.36[/C][C]99.3179055249106[/C][C]0.293167965042945[/C][/ROW]
[ROW][C]0.37[/C][C]99.3825042353844[/C][C]0.259949564868059[/C][/ROW]
[ROW][C]0.38[/C][C]99.4400251305543[/C][C]0.23296082688811[/C][/ROW]
[ROW][C]0.39[/C][C]99.4920540853496[/C][C]0.213673632617815[/C][/ROW]
[ROW][C]0.4[/C][C]99.5403926655822[/C][C]0.202979192000128[/C][/ROW]
[ROW][C]0.41[/C][C]99.5868659452446[/C][C]0.200810003159515[/C][/ROW]
[ROW][C]0.42[/C][C]99.6331459430174[/C][C]0.20581380397207[/C][/ROW]
[ROW][C]0.43[/C][C]99.6806024625151[/C][C]0.216451831774007[/C][/ROW]
[ROW][C]0.44[/C][C]99.7301942891101[/C][C]0.230100551425222[/C][/ROW]
[ROW][C]0.45[/C][C]99.782414268929[/C][C]0.244410213856595[/C][/ROW]
[ROW][C]0.46[/C][C]99.8372983298772[/C][C]0.257173676153811[/C][/ROW]
[ROW][C]0.47[/C][C]99.8944995842445[/C][C]0.267112148919957[/C][/ROW]
[ROW][C]0.48[/C][C]99.9534158327408[/C][C]0.273341381269031[/C][/ROW]
[ROW][C]0.49[/C][C]100.013346103868[/C][C]0.275662213352658[/C][/ROW]
[ROW][C]0.5[/C][C]100.073644114149[/C][C]0.275091498422122[/C][/ROW]
[ROW][C]0.51[/C][C]100.133837130533[/C][C]0.272707875670467[/C][/ROW]
[ROW][C]0.52[/C][C]100.193688033591[/C][C]0.269717962078248[/C][/ROW]
[ROW][C]0.53[/C][C]100.253193465123[/C][C]0.267615652237529[/C][/ROW]
[ROW][C]0.54[/C][C]100.312526725119[/C][C]0.266788360832257[/C][/ROW]
[ROW][C]0.55[/C][C]100.371945538782[/C][C]0.267459893511994[/C][/ROW]
[ROW][C]0.56[/C][C]100.43168903851[/C][C]0.269180173879699[/C][/ROW]
[ROW][C]0.57[/C][C]100.491885476783[/C][C]0.27127889531436[/C][/ROW]
[ROW][C]0.58[/C][C]100.552485029937[/C][C]0.272655227267183[/C][/ROW]
[ROW][C]0.59[/C][C]100.613224195816[/C][C]0.272247551666018[/C][/ROW]
[ROW][C]0.6[/C][C]100.673622443881[/C][C]0.269161343328459[/C][/ROW]
[ROW][C]0.61[/C][C]100.733008713743[/C][C]0.262603754930481[/C][/ROW]
[ROW][C]0.62[/C][C]100.790574075897[/C][C]0.252206918102026[/C][/ROW]
[ROW][C]0.63[/C][C]100.845445690176[/C][C]0.237940281433952[/C][/ROW]
[ROW][C]0.64[/C][C]100.896775042955[/C][C]0.219877822779903[/C][/ROW]
[ROW][C]0.65[/C][C]100.943830533335[/C][C]0.198849132877891[/C][/ROW]
[ROW][C]0.66[/C][C]100.986082150688[/C][C]0.175874640602064[/C][/ROW]
[ROW][C]0.67[/C][C]101.023265846117[/C][C]0.15244203715386[/C][/ROW]
[ROW][C]0.68[/C][C]101.055418149023[/C][C]0.129556232559945[/C][/ROW]
[ROW][C]0.69[/C][C]101.082877268972[/C][C]0.108730180580003[/C][/ROW]
[ROW][C]0.7[/C][C]101.106253895403[/C][C]0.0910010646258498[/C][/ROW]
[ROW][C]0.71[/C][C]101.1263812892[/C][C]0.0771726810729399[/C][/ROW]
[ROW][C]0.72[/C][C]101.144258586927[/C][C]0.0679811962654211[/C][/ROW]
[ROW][C]0.73[/C][C]101.161002926297[/C][C]0.0637085647376854[/C][/ROW]
[ROW][C]0.74[/C][C]101.177825128588[/C][C]0.064533852983627[/C][/ROW]
[ROW][C]0.75[/C][C]101.196040127209[/C][C]0.0706976239440636[/C][/ROW]
[ROW][C]0.76[/C][C]101.217115878345[/C][C]0.0822246838992403[/C][/ROW]
[ROW][C]0.77[/C][C]101.242750791841[/C][C]0.100027991879683[/C][/ROW]
[ROW][C]0.78[/C][C]101.27494831929[/C][C]0.125008655465697[/C][/ROW]
[ROW][C]0.79[/C][C]101.316031643005[/C][C]0.157884931798814[/C][/ROW]
[ROW][C]0.8[/C][C]101.368523564941[/C][C]0.199217643458569[/C][/ROW]
[ROW][C]0.81[/C][C]101.434826770003[/C][C]0.247693130501555[/C][/ROW]
[ROW][C]0.82[/C][C]101.516695752258[/C][C]0.299806936845632[/C][/ROW]
[ROW][C]0.83[/C][C]101.614592089787[/C][C]0.34963532393332[/C][/ROW]
[ROW][C]0.84[/C][C]101.72712296964[/C][C]0.39013290311773[/C][/ROW]
[ROW][C]0.85[/C][C]101.850813884987[/C][C]0.414197356630426[/C][/ROW]
[ROW][C]0.86[/C][C]101.980403524657[/C][C]0.417041197747849[/C][/ROW]
[ROW][C]0.87[/C][C]102.109674592647[/C][C]0.397998431896162[/C][/ROW]
[ROW][C]0.88[/C][C]102.232633121333[/C][C]0.36049121634868[/C][/ROW]
[ROW][C]0.89[/C][C]102.344745085675[/C][C]0.311361798896975[/C][/ROW]
[ROW][C]0.9[/C][C]102.444002502069[/C][C]0.259295570459682[/C][/ROW]
[ROW][C]0.91[/C][C]102.531758183915[/C][C]0.213703176055969[/C][/ROW]
[ROW][C]0.92[/C][C]102.613353342975[/C][C]0.184585304425966[/C][/ROW]
[ROW][C]0.93[/C][C]102.698379282205[/C][C]0.181787848238659[/C][/ROW]
[ROW][C]0.94[/C][C]102.799950622425[/C][C]0.209791171744058[/C][/ROW]
[ROW][C]0.95[/C][C]102.93186439675[/C][C]0.260273994803801[/C][/ROW]
[ROW][C]0.96[/C][C]103.1023981519[/C][C]0.311455468184784[/C][/ROW]
[ROW][C]0.97[/C][C]103.30464425212[/C][C]0.328470539355048[/C][/ROW]
[ROW][C]0.98[/C][C]103.507855365852[/C][C]0.272864439270189[/C][/ROW]
[ROW][C]0.99[/C][C]103.662380796692[/C][C]0.143227220091858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293320&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
0.0196.86987149942250.0150351577503868
0.0296.88218969318990.0127073500728448
0.0396.89443171900490.0227925192811986
0.0496.91200703090960.0478605124970411
0.0596.94109998860410.0845620283556057
0.0696.9849287162980.125067128481091
0.0797.04245789585490.158226682841942
0.0897.10883957360190.175203890261082
0.0997.17741531278910.174257008557581
0.197.2423339356970.160538795435579
0.1197.30046054204710.143515485072866
0.1297.35183529359280.132417025710547
0.1397.39887656874820.132545692150105
0.1497.4450494970040.144848502345469
0.1597.49365846895410.166271460643215
0.1697.54708137887930.192604479129417
0.1797.60647725410930.219607458640213
0.1897.67187320356150.243943736754948
0.1997.74250911018180.263988421082342
0.297.81731088077840.279883865804939
0.2197.89535459764820.293529153876242
0.2297.97619435989920.30753936502752
0.2398.0599719691470.324547968268137
0.2498.14729724397810.345878088311666
0.2598.23895649937780.371038982064279
0.2698.33554909479250.398350518522099
0.2798.43715898558860.424292153487248
0.2898.54314599087370.445632639965508
0.2998.65210285291570.458669932309453
0.398.76198129807290.461326472035255
0.3198.87035227598650.452253437063165
0.3298.97473904580460.432229243895581
0.3399.07295156400640.4030877595211
0.3499.16335823104480.368075838450413
0.3599.24505312692470.330212729745213
0.3699.31790552491060.293167965042945
0.3799.38250423538440.259949564868059
0.3899.44002513055430.23296082688811
0.3999.49205408534960.213673632617815
0.499.54039266558220.202979192000128
0.4199.58686594524460.200810003159515
0.4299.63314594301740.20581380397207
0.4399.68060246251510.216451831774007
0.4499.73019428911010.230100551425222
0.4599.7824142689290.244410213856595
0.4699.83729832987720.257173676153811
0.4799.89449958424450.267112148919957
0.4899.95341583274080.273341381269031
0.49100.0133461038680.275662213352658
0.5100.0736441141490.275091498422122
0.51100.1338371305330.272707875670467
0.52100.1936880335910.269717962078248
0.53100.2531934651230.267615652237529
0.54100.3125267251190.266788360832257
0.55100.3719455387820.267459893511994
0.56100.431689038510.269180173879699
0.57100.4918854767830.27127889531436
0.58100.5524850299370.272655227267183
0.59100.6132241958160.272247551666018
0.6100.6736224438810.269161343328459
0.61100.7330087137430.262603754930481
0.62100.7905740758970.252206918102026
0.63100.8454456901760.237940281433952
0.64100.8967750429550.219877822779903
0.65100.9438305333350.198849132877891
0.66100.9860821506880.175874640602064
0.67101.0232658461170.15244203715386
0.68101.0554181490230.129556232559945
0.69101.0828772689720.108730180580003
0.7101.1062538954030.0910010646258498
0.71101.12638128920.0771726810729399
0.72101.1442585869270.0679811962654211
0.73101.1610029262970.0637085647376854
0.74101.1778251285880.064533852983627
0.75101.1960401272090.0706976239440636
0.76101.2171158783450.0822246838992403
0.77101.2427507918410.100027991879683
0.78101.274948319290.125008655465697
0.79101.3160316430050.157884931798814
0.8101.3685235649410.199217643458569
0.81101.4348267700030.247693130501555
0.82101.5166957522580.299806936845632
0.83101.6145920897870.34963532393332
0.84101.727122969640.39013290311773
0.85101.8508138849870.414197356630426
0.86101.9804035246570.417041197747849
0.87102.1096745926470.397998431896162
0.88102.2326331213330.36049121634868
0.89102.3447450856750.311361798896975
0.9102.4440025020690.259295570459682
0.91102.5317581839150.213703176055969
0.92102.6133533429750.184585304425966
0.93102.6983792822050.181787848238659
0.94102.7999506224250.209791171744058
0.95102.931864396750.260273994803801
0.96103.10239815190.311455468184784
0.97103.304644252120.328470539355048
0.98103.5078553658520.272864439270189
0.99103.6623807966920.143227220091858


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):
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')