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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 computationMon, 01 Oct 2012 04:52:00 -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/2012/Oct/01/t13490816660zebwg9v2tnzfnz.htm/, Retrieved Fri, 03 May 2024 00:21:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170690, Retrieved Fri, 03 May 2024 00:21:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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 prijs ...] [2012-10-01 08:52:00] [2ae43eb9c4bfeee46961d516995d3f9d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
52,21
52,53
53,06
53,23
53,25
53,27
53,35
53,6
53,98
54,18
54,27
54,32
54,4
54,73
54,96
55,27
55,27
55,26
55,37
55,53
55,55
55,54
55,6
55,56
55,64
56,13
56,69
56,8
56,93
57
57,01
57,21
57,17
57,36
57,29
57,26
57,29
57,68
58,19
58,34
58,46
58,67
58,72
58,74
58,77
58,84
59,13
59,12
59,12
59,33
59,49
59,67
59,7
59,73
59,74
59,62
59,6
59,98
60,05
60,06
60,1
60,18
60,38
60,52
60,78
60,72
60,72
60,86
60,99
61,11
61,17
61,19

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=170690&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=170690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170690&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
0.0152.33608909268140.348382320042985
0.0252.53758567061450.379991275009502
0.0352.75141986142890.363715435506844
0.0452.93862467963190.309769531462866
0.0553.08905327069040.258775326201847
0.0653.2101119119740.242103466638967
0.0753.31544853019050.26453713267213
0.0853.4175517605380.310185196086702
0.0953.52435898676990.361088656046234
0.153.63885855319580.405076574174224
0.1153.76036247370590.436413258713891
0.1253.88629669136780.45472330300794
0.1354.01374856234090.463222713850911
0.1454.1404145962970.466654446675512
0.1554.2649108112730.468621217041304
0.1654.38661218428720.47068088657942
0.1754.50527126027620.472025638500782
0.1854.62064649084540.470624523784318
0.1954.73228679723330.464279320676436
0.254.83951663028630.452021094046241
0.2154.94158334932330.433987520200698
0.2255.03788531264970.411944372671738
0.2355.12819472701540.388785958830871
0.2455.21281145820340.367801199187925
0.2555.29261626507330.352518271638007
0.2655.36902113453480.346141505926741
0.2755.44383395294820.350630722203567
0.2855.519064211510.366663740904862
0.2955.59669895855520.393300465868969
0.355.6784775084740.428168657957521
0.3155.76569173913270.467952693976415
0.3255.85903635878460.508717769179829
0.3355.95852917498640.546509848902389
0.3456.06351399181050.577676773508195
0.3556.1727482003010.599389582170707
0.3656.28456478341310.609908894291754
0.3756.39708679850950.608903833025348
0.3856.50846410168920.597214151296888
0.3956.6170990588040.577034129739173
0.456.72183078950210.551361058617802
0.4156.82205519473370.523890173512289
0.4256.91776866968090.498193065995715
0.4357.00953470775180.477750931674192
0.4457.09838259437920.465200930797778
0.4557.18565485385410.462119272935257
0.4657.27282463560360.468619012417472
0.4757.36130597578670.483453484536491
0.4857.45227925058850.50443944495746
0.4957.54655151283930.528549174620318
0.557.64446699911270.552605274465879
0.5157.74587709222220.573524761819698
0.5257.85017176182250.588809026448104
0.5357.95636664915180.596610335004375
0.5458.06323253437510.595916938485818
0.5558.16944815229780.5868527397897
0.5658.27375433242260.570313950213886
0.5758.37508792638690.54800279486843
0.5858.47267796494590.521937103566066
0.5958.56609323671890.494427348733857
0.658.65523870106080.467554542948108
0.6158.74030627780730.442862573101177
0.6258.82169215731210.421467057704934
0.6358.89989684113430.40359217042817
0.6458.97542525142380.388963667396285
0.6559.04870260802240.376740394151974
0.6659.12001795301110.365791534573481
0.6759.18950198320970.35503363064472
0.6859.2571400263550.343622305062492
0.6959.32281529714640.330918587304576
0.759.38637268446210.316843827384848
0.7159.44768995503870.301768998550961
0.7259.50674212218250.286434315756927
0.7359.56364638650420.27170899922466
0.7459.61867963592340.258670040635545
0.7559.67226734673040.248083530766652
0.7659.72495025090240.240591702748975
0.7759.77734094225170.236173867604648
0.7859.8300841808690.234562008714196
0.7959.88383045734790.235442178189585
0.859.9392228899550.23849976412272
0.8159.99688593433410.243566781060668
0.8260.05739614259440.250576745338429
0.8360.12121627950980.259151812899885
0.8460.18858811015510.268300797615431
0.8560.25940441504550.276375226121872
0.8660.33310860790910.281158460765034
0.8760.40868635030270.280408146070162
0.8860.4848025956060.272715356501198
0.8960.56009143395020.258120191333823
0.960.6335319618470.238551268841669
0.9160.70476720204940.217360699240838
0.9260.77418528272710.198359399765365
0.9360.84262269907920.183857123719843
0.9460.9106865427820.172813335517003
0.9560.97790098074380.160730860777601
0.9661.04208088045440.141933554911955
0.9761.09938256882950.112898827240953
0.9861.14523214298480.0755179543195375
0.9961.17585283744920.0391953532799576

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 52.3360890926814 & 0.348382320042985 \tabularnewline
0.02 & 52.5375856706145 & 0.379991275009502 \tabularnewline
0.03 & 52.7514198614289 & 0.363715435506844 \tabularnewline
0.04 & 52.9386246796319 & 0.309769531462866 \tabularnewline
0.05 & 53.0890532706904 & 0.258775326201847 \tabularnewline
0.06 & 53.210111911974 & 0.242103466638967 \tabularnewline
0.07 & 53.3154485301905 & 0.26453713267213 \tabularnewline
0.08 & 53.417551760538 & 0.310185196086702 \tabularnewline
0.09 & 53.5243589867699 & 0.361088656046234 \tabularnewline
0.1 & 53.6388585531958 & 0.405076574174224 \tabularnewline
0.11 & 53.7603624737059 & 0.436413258713891 \tabularnewline
0.12 & 53.8862966913678 & 0.45472330300794 \tabularnewline
0.13 & 54.0137485623409 & 0.463222713850911 \tabularnewline
0.14 & 54.140414596297 & 0.466654446675512 \tabularnewline
0.15 & 54.264910811273 & 0.468621217041304 \tabularnewline
0.16 & 54.3866121842872 & 0.47068088657942 \tabularnewline
0.17 & 54.5052712602762 & 0.472025638500782 \tabularnewline
0.18 & 54.6206464908454 & 0.470624523784318 \tabularnewline
0.19 & 54.7322867972333 & 0.464279320676436 \tabularnewline
0.2 & 54.8395166302863 & 0.452021094046241 \tabularnewline
0.21 & 54.9415833493233 & 0.433987520200698 \tabularnewline
0.22 & 55.0378853126497 & 0.411944372671738 \tabularnewline
0.23 & 55.1281947270154 & 0.388785958830871 \tabularnewline
0.24 & 55.2128114582034 & 0.367801199187925 \tabularnewline
0.25 & 55.2926162650733 & 0.352518271638007 \tabularnewline
0.26 & 55.3690211345348 & 0.346141505926741 \tabularnewline
0.27 & 55.4438339529482 & 0.350630722203567 \tabularnewline
0.28 & 55.51906421151 & 0.366663740904862 \tabularnewline
0.29 & 55.5966989585552 & 0.393300465868969 \tabularnewline
0.3 & 55.678477508474 & 0.428168657957521 \tabularnewline
0.31 & 55.7656917391327 & 0.467952693976415 \tabularnewline
0.32 & 55.8590363587846 & 0.508717769179829 \tabularnewline
0.33 & 55.9585291749864 & 0.546509848902389 \tabularnewline
0.34 & 56.0635139918105 & 0.577676773508195 \tabularnewline
0.35 & 56.172748200301 & 0.599389582170707 \tabularnewline
0.36 & 56.2845647834131 & 0.609908894291754 \tabularnewline
0.37 & 56.3970867985095 & 0.608903833025348 \tabularnewline
0.38 & 56.5084641016892 & 0.597214151296888 \tabularnewline
0.39 & 56.617099058804 & 0.577034129739173 \tabularnewline
0.4 & 56.7218307895021 & 0.551361058617802 \tabularnewline
0.41 & 56.8220551947337 & 0.523890173512289 \tabularnewline
0.42 & 56.9177686696809 & 0.498193065995715 \tabularnewline
0.43 & 57.0095347077518 & 0.477750931674192 \tabularnewline
0.44 & 57.0983825943792 & 0.465200930797778 \tabularnewline
0.45 & 57.1856548538541 & 0.462119272935257 \tabularnewline
0.46 & 57.2728246356036 & 0.468619012417472 \tabularnewline
0.47 & 57.3613059757867 & 0.483453484536491 \tabularnewline
0.48 & 57.4522792505885 & 0.50443944495746 \tabularnewline
0.49 & 57.5465515128393 & 0.528549174620318 \tabularnewline
0.5 & 57.6444669991127 & 0.552605274465879 \tabularnewline
0.51 & 57.7458770922222 & 0.573524761819698 \tabularnewline
0.52 & 57.8501717618225 & 0.588809026448104 \tabularnewline
0.53 & 57.9563666491518 & 0.596610335004375 \tabularnewline
0.54 & 58.0632325343751 & 0.595916938485818 \tabularnewline
0.55 & 58.1694481522978 & 0.5868527397897 \tabularnewline
0.56 & 58.2737543324226 & 0.570313950213886 \tabularnewline
0.57 & 58.3750879263869 & 0.54800279486843 \tabularnewline
0.58 & 58.4726779649459 & 0.521937103566066 \tabularnewline
0.59 & 58.5660932367189 & 0.494427348733857 \tabularnewline
0.6 & 58.6552387010608 & 0.467554542948108 \tabularnewline
0.61 & 58.7403062778073 & 0.442862573101177 \tabularnewline
0.62 & 58.8216921573121 & 0.421467057704934 \tabularnewline
0.63 & 58.8998968411343 & 0.40359217042817 \tabularnewline
0.64 & 58.9754252514238 & 0.388963667396285 \tabularnewline
0.65 & 59.0487026080224 & 0.376740394151974 \tabularnewline
0.66 & 59.1200179530111 & 0.365791534573481 \tabularnewline
0.67 & 59.1895019832097 & 0.35503363064472 \tabularnewline
0.68 & 59.257140026355 & 0.343622305062492 \tabularnewline
0.69 & 59.3228152971464 & 0.330918587304576 \tabularnewline
0.7 & 59.3863726844621 & 0.316843827384848 \tabularnewline
0.71 & 59.4476899550387 & 0.301768998550961 \tabularnewline
0.72 & 59.5067421221825 & 0.286434315756927 \tabularnewline
0.73 & 59.5636463865042 & 0.27170899922466 \tabularnewline
0.74 & 59.6186796359234 & 0.258670040635545 \tabularnewline
0.75 & 59.6722673467304 & 0.248083530766652 \tabularnewline
0.76 & 59.7249502509024 & 0.240591702748975 \tabularnewline
0.77 & 59.7773409422517 & 0.236173867604648 \tabularnewline
0.78 & 59.830084180869 & 0.234562008714196 \tabularnewline
0.79 & 59.8838304573479 & 0.235442178189585 \tabularnewline
0.8 & 59.939222889955 & 0.23849976412272 \tabularnewline
0.81 & 59.9968859343341 & 0.243566781060668 \tabularnewline
0.82 & 60.0573961425944 & 0.250576745338429 \tabularnewline
0.83 & 60.1212162795098 & 0.259151812899885 \tabularnewline
0.84 & 60.1885881101551 & 0.268300797615431 \tabularnewline
0.85 & 60.2594044150455 & 0.276375226121872 \tabularnewline
0.86 & 60.3331086079091 & 0.281158460765034 \tabularnewline
0.87 & 60.4086863503027 & 0.280408146070162 \tabularnewline
0.88 & 60.484802595606 & 0.272715356501198 \tabularnewline
0.89 & 60.5600914339502 & 0.258120191333823 \tabularnewline
0.9 & 60.633531961847 & 0.238551268841669 \tabularnewline
0.91 & 60.7047672020494 & 0.217360699240838 \tabularnewline
0.92 & 60.7741852827271 & 0.198359399765365 \tabularnewline
0.93 & 60.8426226990792 & 0.183857123719843 \tabularnewline
0.94 & 60.910686542782 & 0.172813335517003 \tabularnewline
0.95 & 60.9779009807438 & 0.160730860777601 \tabularnewline
0.96 & 61.0420808804544 & 0.141933554911955 \tabularnewline
0.97 & 61.0993825688295 & 0.112898827240953 \tabularnewline
0.98 & 61.1452321429848 & 0.0755179543195375 \tabularnewline
0.99 & 61.1758528374492 & 0.0391953532799576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170690&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]52.3360890926814[/C][C]0.348382320042985[/C][/ROW]
[ROW][C]0.02[/C][C]52.5375856706145[/C][C]0.379991275009502[/C][/ROW]
[ROW][C]0.03[/C][C]52.7514198614289[/C][C]0.363715435506844[/C][/ROW]
[ROW][C]0.04[/C][C]52.9386246796319[/C][C]0.309769531462866[/C][/ROW]
[ROW][C]0.05[/C][C]53.0890532706904[/C][C]0.258775326201847[/C][/ROW]
[ROW][C]0.06[/C][C]53.210111911974[/C][C]0.242103466638967[/C][/ROW]
[ROW][C]0.07[/C][C]53.3154485301905[/C][C]0.26453713267213[/C][/ROW]
[ROW][C]0.08[/C][C]53.417551760538[/C][C]0.310185196086702[/C][/ROW]
[ROW][C]0.09[/C][C]53.5243589867699[/C][C]0.361088656046234[/C][/ROW]
[ROW][C]0.1[/C][C]53.6388585531958[/C][C]0.405076574174224[/C][/ROW]
[ROW][C]0.11[/C][C]53.7603624737059[/C][C]0.436413258713891[/C][/ROW]
[ROW][C]0.12[/C][C]53.8862966913678[/C][C]0.45472330300794[/C][/ROW]
[ROW][C]0.13[/C][C]54.0137485623409[/C][C]0.463222713850911[/C][/ROW]
[ROW][C]0.14[/C][C]54.140414596297[/C][C]0.466654446675512[/C][/ROW]
[ROW][C]0.15[/C][C]54.264910811273[/C][C]0.468621217041304[/C][/ROW]
[ROW][C]0.16[/C][C]54.3866121842872[/C][C]0.47068088657942[/C][/ROW]
[ROW][C]0.17[/C][C]54.5052712602762[/C][C]0.472025638500782[/C][/ROW]
[ROW][C]0.18[/C][C]54.6206464908454[/C][C]0.470624523784318[/C][/ROW]
[ROW][C]0.19[/C][C]54.7322867972333[/C][C]0.464279320676436[/C][/ROW]
[ROW][C]0.2[/C][C]54.8395166302863[/C][C]0.452021094046241[/C][/ROW]
[ROW][C]0.21[/C][C]54.9415833493233[/C][C]0.433987520200698[/C][/ROW]
[ROW][C]0.22[/C][C]55.0378853126497[/C][C]0.411944372671738[/C][/ROW]
[ROW][C]0.23[/C][C]55.1281947270154[/C][C]0.388785958830871[/C][/ROW]
[ROW][C]0.24[/C][C]55.2128114582034[/C][C]0.367801199187925[/C][/ROW]
[ROW][C]0.25[/C][C]55.2926162650733[/C][C]0.352518271638007[/C][/ROW]
[ROW][C]0.26[/C][C]55.3690211345348[/C][C]0.346141505926741[/C][/ROW]
[ROW][C]0.27[/C][C]55.4438339529482[/C][C]0.350630722203567[/C][/ROW]
[ROW][C]0.28[/C][C]55.51906421151[/C][C]0.366663740904862[/C][/ROW]
[ROW][C]0.29[/C][C]55.5966989585552[/C][C]0.393300465868969[/C][/ROW]
[ROW][C]0.3[/C][C]55.678477508474[/C][C]0.428168657957521[/C][/ROW]
[ROW][C]0.31[/C][C]55.7656917391327[/C][C]0.467952693976415[/C][/ROW]
[ROW][C]0.32[/C][C]55.8590363587846[/C][C]0.508717769179829[/C][/ROW]
[ROW][C]0.33[/C][C]55.9585291749864[/C][C]0.546509848902389[/C][/ROW]
[ROW][C]0.34[/C][C]56.0635139918105[/C][C]0.577676773508195[/C][/ROW]
[ROW][C]0.35[/C][C]56.172748200301[/C][C]0.599389582170707[/C][/ROW]
[ROW][C]0.36[/C][C]56.2845647834131[/C][C]0.609908894291754[/C][/ROW]
[ROW][C]0.37[/C][C]56.3970867985095[/C][C]0.608903833025348[/C][/ROW]
[ROW][C]0.38[/C][C]56.5084641016892[/C][C]0.597214151296888[/C][/ROW]
[ROW][C]0.39[/C][C]56.617099058804[/C][C]0.577034129739173[/C][/ROW]
[ROW][C]0.4[/C][C]56.7218307895021[/C][C]0.551361058617802[/C][/ROW]
[ROW][C]0.41[/C][C]56.8220551947337[/C][C]0.523890173512289[/C][/ROW]
[ROW][C]0.42[/C][C]56.9177686696809[/C][C]0.498193065995715[/C][/ROW]
[ROW][C]0.43[/C][C]57.0095347077518[/C][C]0.477750931674192[/C][/ROW]
[ROW][C]0.44[/C][C]57.0983825943792[/C][C]0.465200930797778[/C][/ROW]
[ROW][C]0.45[/C][C]57.1856548538541[/C][C]0.462119272935257[/C][/ROW]
[ROW][C]0.46[/C][C]57.2728246356036[/C][C]0.468619012417472[/C][/ROW]
[ROW][C]0.47[/C][C]57.3613059757867[/C][C]0.483453484536491[/C][/ROW]
[ROW][C]0.48[/C][C]57.4522792505885[/C][C]0.50443944495746[/C][/ROW]
[ROW][C]0.49[/C][C]57.5465515128393[/C][C]0.528549174620318[/C][/ROW]
[ROW][C]0.5[/C][C]57.6444669991127[/C][C]0.552605274465879[/C][/ROW]
[ROW][C]0.51[/C][C]57.7458770922222[/C][C]0.573524761819698[/C][/ROW]
[ROW][C]0.52[/C][C]57.8501717618225[/C][C]0.588809026448104[/C][/ROW]
[ROW][C]0.53[/C][C]57.9563666491518[/C][C]0.596610335004375[/C][/ROW]
[ROW][C]0.54[/C][C]58.0632325343751[/C][C]0.595916938485818[/C][/ROW]
[ROW][C]0.55[/C][C]58.1694481522978[/C][C]0.5868527397897[/C][/ROW]
[ROW][C]0.56[/C][C]58.2737543324226[/C][C]0.570313950213886[/C][/ROW]
[ROW][C]0.57[/C][C]58.3750879263869[/C][C]0.54800279486843[/C][/ROW]
[ROW][C]0.58[/C][C]58.4726779649459[/C][C]0.521937103566066[/C][/ROW]
[ROW][C]0.59[/C][C]58.5660932367189[/C][C]0.494427348733857[/C][/ROW]
[ROW][C]0.6[/C][C]58.6552387010608[/C][C]0.467554542948108[/C][/ROW]
[ROW][C]0.61[/C][C]58.7403062778073[/C][C]0.442862573101177[/C][/ROW]
[ROW][C]0.62[/C][C]58.8216921573121[/C][C]0.421467057704934[/C][/ROW]
[ROW][C]0.63[/C][C]58.8998968411343[/C][C]0.40359217042817[/C][/ROW]
[ROW][C]0.64[/C][C]58.9754252514238[/C][C]0.388963667396285[/C][/ROW]
[ROW][C]0.65[/C][C]59.0487026080224[/C][C]0.376740394151974[/C][/ROW]
[ROW][C]0.66[/C][C]59.1200179530111[/C][C]0.365791534573481[/C][/ROW]
[ROW][C]0.67[/C][C]59.1895019832097[/C][C]0.35503363064472[/C][/ROW]
[ROW][C]0.68[/C][C]59.257140026355[/C][C]0.343622305062492[/C][/ROW]
[ROW][C]0.69[/C][C]59.3228152971464[/C][C]0.330918587304576[/C][/ROW]
[ROW][C]0.7[/C][C]59.3863726844621[/C][C]0.316843827384848[/C][/ROW]
[ROW][C]0.71[/C][C]59.4476899550387[/C][C]0.301768998550961[/C][/ROW]
[ROW][C]0.72[/C][C]59.5067421221825[/C][C]0.286434315756927[/C][/ROW]
[ROW][C]0.73[/C][C]59.5636463865042[/C][C]0.27170899922466[/C][/ROW]
[ROW][C]0.74[/C][C]59.6186796359234[/C][C]0.258670040635545[/C][/ROW]
[ROW][C]0.75[/C][C]59.6722673467304[/C][C]0.248083530766652[/C][/ROW]
[ROW][C]0.76[/C][C]59.7249502509024[/C][C]0.240591702748975[/C][/ROW]
[ROW][C]0.77[/C][C]59.7773409422517[/C][C]0.236173867604648[/C][/ROW]
[ROW][C]0.78[/C][C]59.830084180869[/C][C]0.234562008714196[/C][/ROW]
[ROW][C]0.79[/C][C]59.8838304573479[/C][C]0.235442178189585[/C][/ROW]
[ROW][C]0.8[/C][C]59.939222889955[/C][C]0.23849976412272[/C][/ROW]
[ROW][C]0.81[/C][C]59.9968859343341[/C][C]0.243566781060668[/C][/ROW]
[ROW][C]0.82[/C][C]60.0573961425944[/C][C]0.250576745338429[/C][/ROW]
[ROW][C]0.83[/C][C]60.1212162795098[/C][C]0.259151812899885[/C][/ROW]
[ROW][C]0.84[/C][C]60.1885881101551[/C][C]0.268300797615431[/C][/ROW]
[ROW][C]0.85[/C][C]60.2594044150455[/C][C]0.276375226121872[/C][/ROW]
[ROW][C]0.86[/C][C]60.3331086079091[/C][C]0.281158460765034[/C][/ROW]
[ROW][C]0.87[/C][C]60.4086863503027[/C][C]0.280408146070162[/C][/ROW]
[ROW][C]0.88[/C][C]60.484802595606[/C][C]0.272715356501198[/C][/ROW]
[ROW][C]0.89[/C][C]60.5600914339502[/C][C]0.258120191333823[/C][/ROW]
[ROW][C]0.9[/C][C]60.633531961847[/C][C]0.238551268841669[/C][/ROW]
[ROW][C]0.91[/C][C]60.7047672020494[/C][C]0.217360699240838[/C][/ROW]
[ROW][C]0.92[/C][C]60.7741852827271[/C][C]0.198359399765365[/C][/ROW]
[ROW][C]0.93[/C][C]60.8426226990792[/C][C]0.183857123719843[/C][/ROW]
[ROW][C]0.94[/C][C]60.910686542782[/C][C]0.172813335517003[/C][/ROW]
[ROW][C]0.95[/C][C]60.9779009807438[/C][C]0.160730860777601[/C][/ROW]
[ROW][C]0.96[/C][C]61.0420808804544[/C][C]0.141933554911955[/C][/ROW]
[ROW][C]0.97[/C][C]61.0993825688295[/C][C]0.112898827240953[/C][/ROW]
[ROW][C]0.98[/C][C]61.1452321429848[/C][C]0.0755179543195375[/C][/ROW]
[ROW][C]0.99[/C][C]61.1758528374492[/C][C]0.0391953532799576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170690&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
0.0152.33608909268140.348382320042985
0.0252.53758567061450.379991275009502
0.0352.75141986142890.363715435506844
0.0452.93862467963190.309769531462866
0.0553.08905327069040.258775326201847
0.0653.2101119119740.242103466638967
0.0753.31544853019050.26453713267213
0.0853.4175517605380.310185196086702
0.0953.52435898676990.361088656046234
0.153.63885855319580.405076574174224
0.1153.76036247370590.436413258713891
0.1253.88629669136780.45472330300794
0.1354.01374856234090.463222713850911
0.1454.1404145962970.466654446675512
0.1554.2649108112730.468621217041304
0.1654.38661218428720.47068088657942
0.1754.50527126027620.472025638500782
0.1854.62064649084540.470624523784318
0.1954.73228679723330.464279320676436
0.254.83951663028630.452021094046241
0.2154.94158334932330.433987520200698
0.2255.03788531264970.411944372671738
0.2355.12819472701540.388785958830871
0.2455.21281145820340.367801199187925
0.2555.29261626507330.352518271638007
0.2655.36902113453480.346141505926741
0.2755.44383395294820.350630722203567
0.2855.519064211510.366663740904862
0.2955.59669895855520.393300465868969
0.355.6784775084740.428168657957521
0.3155.76569173913270.467952693976415
0.3255.85903635878460.508717769179829
0.3355.95852917498640.546509848902389
0.3456.06351399181050.577676773508195
0.3556.1727482003010.599389582170707
0.3656.28456478341310.609908894291754
0.3756.39708679850950.608903833025348
0.3856.50846410168920.597214151296888
0.3956.6170990588040.577034129739173
0.456.72183078950210.551361058617802
0.4156.82205519473370.523890173512289
0.4256.91776866968090.498193065995715
0.4357.00953470775180.477750931674192
0.4457.09838259437920.465200930797778
0.4557.18565485385410.462119272935257
0.4657.27282463560360.468619012417472
0.4757.36130597578670.483453484536491
0.4857.45227925058850.50443944495746
0.4957.54655151283930.528549174620318
0.557.64446699911270.552605274465879
0.5157.74587709222220.573524761819698
0.5257.85017176182250.588809026448104
0.5357.95636664915180.596610335004375
0.5458.06323253437510.595916938485818
0.5558.16944815229780.5868527397897
0.5658.27375433242260.570313950213886
0.5758.37508792638690.54800279486843
0.5858.47267796494590.521937103566066
0.5958.56609323671890.494427348733857
0.658.65523870106080.467554542948108
0.6158.74030627780730.442862573101177
0.6258.82169215731210.421467057704934
0.6358.89989684113430.40359217042817
0.6458.97542525142380.388963667396285
0.6559.04870260802240.376740394151974
0.6659.12001795301110.365791534573481
0.6759.18950198320970.35503363064472
0.6859.2571400263550.343622305062492
0.6959.32281529714640.330918587304576
0.759.38637268446210.316843827384848
0.7159.44768995503870.301768998550961
0.7259.50674212218250.286434315756927
0.7359.56364638650420.27170899922466
0.7459.61867963592340.258670040635545
0.7559.67226734673040.248083530766652
0.7659.72495025090240.240591702748975
0.7759.77734094225170.236173867604648
0.7859.8300841808690.234562008714196
0.7959.88383045734790.235442178189585
0.859.9392228899550.23849976412272
0.8159.99688593433410.243566781060668
0.8260.05739614259440.250576745338429
0.8360.12121627950980.259151812899885
0.8460.18858811015510.268300797615431
0.8560.25940441504550.276375226121872
0.8660.33310860790910.281158460765034
0.8760.40868635030270.280408146070162
0.8860.4848025956060.272715356501198
0.8960.56009143395020.258120191333823
0.960.6335319618470.238551268841669
0.9160.70476720204940.217360699240838
0.9260.77418528272710.198359399765365
0.9360.84262269907920.183857123719843
0.9460.9106865427820.172813335517003
0.9560.97790098074380.160730860777601
0.9661.04208088045440.141933554911955
0.9761.09938256882950.112898827240953
0.9861.14523214298480.0755179543195375
0.9961.17585283744920.0391953532799576


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')