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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, 26 Feb 2013 10:06:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361891334d2s3d4dxy1snrco.htm/, Retrieved Sun, 05 May 2024 02:39:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207053, Retrieved Sun, 05 May 2024 02:39:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [Hareld Davis Quan...] [2013-02-26 15:06:23] [e9fe483ee534263de9102ab1dada7978] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
63.52
61.71
63.01
68.18
72.03
69.75
74.41
74.33
64.24
60.03
59.44
62.5
55.04
58.34
61.92
67.65
67.68
70.3
75.26
71.44
76.36
81.71
92.6
90.6
92.23
94.09
102.79
109.65
124.05
132.69
135.81
116.07
101.42
75.73
55.48
43.8
45.29
44.01
47.48
51.07
57.84
69.04
65.61
72.87
68.41
73.25
77.43
75.28
77.33
74.31
79.7
85.47
77.98
75.69
75.2
77.21
77.85
83.53
85.99
91.77
96.59
103.57
114.46
122.54
115.08
113.93
116.29
110.12
110.86
108.53
110.61
108.1

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=207053&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=207053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207053&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
0.0144.0509105168930.714853421704532
0.0244.65986118264971.62966790651376
0.0345.65740126865372.64166567073276
0.0446.9913242191023.52025487002871
0.0548.55419997663084.11600393338034
0.0650.21762685762124.37360878738082
0.0751.86355833895994.32935669569374
0.0853.40515205119024.07911258618416
0.0954.7941442141153.7324602053241
0.156.01672505416983.37741757453797
0.1157.08304067636123.06587342610416
0.1258.01570653318292.81687820072046
0.1358.84085663914822.62902964956586
0.1459.58288981304192.49295777076276
0.1560.26239150772852.39905572062243
0.1660.89602101255532.34140770593136
0.1761.49719983939042.31716226236129
0.1862.07682142592.3239707009079
0.1962.64363363973482.35766552664088
0.263.20427873791342.41059695980179
0.2163.76316483341792.47208312031091
0.2264.32239469859452.53050172600694
0.2364.88192448185082.57553967485113
0.2465.44001351493282.60058015054776
0.2565.99390717847452.60352263401053
0.2666.54060930919112.58674760789288
0.2767.07757173090942.55628370130206
0.2867.60315694778662.51950195159744
0.2968.11679850638832.48343641288797
0.368.6188655029572.45311648414407
0.3169.11030753695052.42980383428013
0.3269.59219690421992.41223030286647
0.3370.06529051459252.39597349072454
0.3470.52971008557362.37592692485561
0.3570.98479744145152.34659004013217
0.3671.42915582829772.30404338853516
0.3771.86084932122432.24592223913136
0.3872.27770736078822.17204349204315
0.3972.67767201575042.08436717966778
0.473.05912970014991.98667691006538
0.4173.42118260349521.88377957239101
0.4273.76383332832511.78176249958935
0.4374.08807506258971.68652187888511
0.4474.39589602768211.60374445404189
0.4574.69021902133261.5389829569545
0.4674.97480357034421.49686766150121
0.4775.25413909582641.48110544855165
0.4875.53335266791051.49526679485635
0.4975.81814507798941.54169821394967
0.576.11475553863781.62350840680224
0.5176.42994065795741.74328054945124
0.5276.77094049435091.90332379244834
0.5377.14539684400282.1061184479596
0.5477.56118936662672.35231300233617
0.5578.02616533058992.64052508694933
0.5678.54775825147632.96695782954666
0.5779.13251677556023.32445530384851
0.5879.78559301668343.70297365428359
0.5980.51026311967834.08983332491619
0.681.30756593139034.47075499998129
0.6182.17614333519534.83141093661953
0.6283.11234540187575.15865237657103
0.6384.11062556819745.44260565443019
0.6485.16419978230075.67775358437185
0.6586.26588685671585.86413161841106
0.6687.40899614117746.00713465081995
0.6788.58809566490576.11709203651723
0.6889.79949077589056.20688721231217
0.6991.04127744574036.28892977549219
0.792.31290564489036.37239591979695
0.7193.61428669813946.45951258214262
0.7294.94458532386186.54462252621853
0.7396.30092768919886.61358577583187
0.7497.67730754143636.64698626542678
0.7599.06396699603966.62343347273672
0.76100.4474627078736.52392631655697
0.77101.8115108155236.33622832395834
0.78103.1385543949666.05739626224896
0.79104.411840257785.69586456284947
0.8105.6176556917345.27077241208136
0.81106.7472906268134.81036656969957
0.82107.7982903625034.34798315781609
0.83108.7746816974313.91710629649602
0.84109.6861106061213.54500751067608
0.85110.5462036704143.246995524668
0.86111.370872603773.02363658583018
0.87112.1775551743572.86478672292375
0.88112.9863091741922.76095342390427
0.89113.8230815033662.71828464302733
0.9114.7244202336182.76822884733754
0.91115.7418266737762.96048242459289
0.92116.9435712881343.33231705484411
0.93118.4123990916823.87571737051984
0.94120.237857014724.53837270365051
0.95122.4992442337275.24743120864715
0.96125.2288084413735.88331947626943
0.97128.3423474875016.16060882728944
0.98131.5427339330185.63085022106891
0.99134.2611706719994.24061285338236

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.050910516893 & 0.714853421704532 \tabularnewline
0.02 & 44.6598611826497 & 1.62966790651376 \tabularnewline
0.03 & 45.6574012686537 & 2.64166567073276 \tabularnewline
0.04 & 46.991324219102 & 3.52025487002871 \tabularnewline
0.05 & 48.5541999766308 & 4.11600393338034 \tabularnewline
0.06 & 50.2176268576212 & 4.37360878738082 \tabularnewline
0.07 & 51.8635583389599 & 4.32935669569374 \tabularnewline
0.08 & 53.4051520511902 & 4.07911258618416 \tabularnewline
0.09 & 54.794144214115 & 3.7324602053241 \tabularnewline
0.1 & 56.0167250541698 & 3.37741757453797 \tabularnewline
0.11 & 57.0830406763612 & 3.06587342610416 \tabularnewline
0.12 & 58.0157065331829 & 2.81687820072046 \tabularnewline
0.13 & 58.8408566391482 & 2.62902964956586 \tabularnewline
0.14 & 59.5828898130419 & 2.49295777076276 \tabularnewline
0.15 & 60.2623915077285 & 2.39905572062243 \tabularnewline
0.16 & 60.8960210125553 & 2.34140770593136 \tabularnewline
0.17 & 61.4971998393904 & 2.31716226236129 \tabularnewline
0.18 & 62.0768214259 & 2.3239707009079 \tabularnewline
0.19 & 62.6436336397348 & 2.35766552664088 \tabularnewline
0.2 & 63.2042787379134 & 2.41059695980179 \tabularnewline
0.21 & 63.7631648334179 & 2.47208312031091 \tabularnewline
0.22 & 64.3223946985945 & 2.53050172600694 \tabularnewline
0.23 & 64.8819244818508 & 2.57553967485113 \tabularnewline
0.24 & 65.4400135149328 & 2.60058015054776 \tabularnewline
0.25 & 65.9939071784745 & 2.60352263401053 \tabularnewline
0.26 & 66.5406093091911 & 2.58674760789288 \tabularnewline
0.27 & 67.0775717309094 & 2.55628370130206 \tabularnewline
0.28 & 67.6031569477866 & 2.51950195159744 \tabularnewline
0.29 & 68.1167985063883 & 2.48343641288797 \tabularnewline
0.3 & 68.618865502957 & 2.45311648414407 \tabularnewline
0.31 & 69.1103075369505 & 2.42980383428013 \tabularnewline
0.32 & 69.5921969042199 & 2.41223030286647 \tabularnewline
0.33 & 70.0652905145925 & 2.39597349072454 \tabularnewline
0.34 & 70.5297100855736 & 2.37592692485561 \tabularnewline
0.35 & 70.9847974414515 & 2.34659004013217 \tabularnewline
0.36 & 71.4291558282977 & 2.30404338853516 \tabularnewline
0.37 & 71.8608493212243 & 2.24592223913136 \tabularnewline
0.38 & 72.2777073607882 & 2.17204349204315 \tabularnewline
0.39 & 72.6776720157504 & 2.08436717966778 \tabularnewline
0.4 & 73.0591297001499 & 1.98667691006538 \tabularnewline
0.41 & 73.4211826034952 & 1.88377957239101 \tabularnewline
0.42 & 73.7638333283251 & 1.78176249958935 \tabularnewline
0.43 & 74.0880750625897 & 1.68652187888511 \tabularnewline
0.44 & 74.3958960276821 & 1.60374445404189 \tabularnewline
0.45 & 74.6902190213326 & 1.5389829569545 \tabularnewline
0.46 & 74.9748035703442 & 1.49686766150121 \tabularnewline
0.47 & 75.2541390958264 & 1.48110544855165 \tabularnewline
0.48 & 75.5333526679105 & 1.49526679485635 \tabularnewline
0.49 & 75.8181450779894 & 1.54169821394967 \tabularnewline
0.5 & 76.1147555386378 & 1.62350840680224 \tabularnewline
0.51 & 76.4299406579574 & 1.74328054945124 \tabularnewline
0.52 & 76.7709404943509 & 1.90332379244834 \tabularnewline
0.53 & 77.1453968440028 & 2.1061184479596 \tabularnewline
0.54 & 77.5611893666267 & 2.35231300233617 \tabularnewline
0.55 & 78.0261653305899 & 2.64052508694933 \tabularnewline
0.56 & 78.5477582514763 & 2.96695782954666 \tabularnewline
0.57 & 79.1325167755602 & 3.32445530384851 \tabularnewline
0.58 & 79.7855930166834 & 3.70297365428359 \tabularnewline
0.59 & 80.5102631196783 & 4.08983332491619 \tabularnewline
0.6 & 81.3075659313903 & 4.47075499998129 \tabularnewline
0.61 & 82.1761433351953 & 4.83141093661953 \tabularnewline
0.62 & 83.1123454018757 & 5.15865237657103 \tabularnewline
0.63 & 84.1106255681974 & 5.44260565443019 \tabularnewline
0.64 & 85.1641997823007 & 5.67775358437185 \tabularnewline
0.65 & 86.2658868567158 & 5.86413161841106 \tabularnewline
0.66 & 87.4089961411774 & 6.00713465081995 \tabularnewline
0.67 & 88.5880956649057 & 6.11709203651723 \tabularnewline
0.68 & 89.7994907758905 & 6.20688721231217 \tabularnewline
0.69 & 91.0412774457403 & 6.28892977549219 \tabularnewline
0.7 & 92.3129056448903 & 6.37239591979695 \tabularnewline
0.71 & 93.6142866981394 & 6.45951258214262 \tabularnewline
0.72 & 94.9445853238618 & 6.54462252621853 \tabularnewline
0.73 & 96.3009276891988 & 6.61358577583187 \tabularnewline
0.74 & 97.6773075414363 & 6.64698626542678 \tabularnewline
0.75 & 99.0639669960396 & 6.62343347273672 \tabularnewline
0.76 & 100.447462707873 & 6.52392631655697 \tabularnewline
0.77 & 101.811510815523 & 6.33622832395834 \tabularnewline
0.78 & 103.138554394966 & 6.05739626224896 \tabularnewline
0.79 & 104.41184025778 & 5.69586456284947 \tabularnewline
0.8 & 105.617655691734 & 5.27077241208136 \tabularnewline
0.81 & 106.747290626813 & 4.81036656969957 \tabularnewline
0.82 & 107.798290362503 & 4.34798315781609 \tabularnewline
0.83 & 108.774681697431 & 3.91710629649602 \tabularnewline
0.84 & 109.686110606121 & 3.54500751067608 \tabularnewline
0.85 & 110.546203670414 & 3.246995524668 \tabularnewline
0.86 & 111.37087260377 & 3.02363658583018 \tabularnewline
0.87 & 112.177555174357 & 2.86478672292375 \tabularnewline
0.88 & 112.986309174192 & 2.76095342390427 \tabularnewline
0.89 & 113.823081503366 & 2.71828464302733 \tabularnewline
0.9 & 114.724420233618 & 2.76822884733754 \tabularnewline
0.91 & 115.741826673776 & 2.96048242459289 \tabularnewline
0.92 & 116.943571288134 & 3.33231705484411 \tabularnewline
0.93 & 118.412399091682 & 3.87571737051984 \tabularnewline
0.94 & 120.23785701472 & 4.53837270365051 \tabularnewline
0.95 & 122.499244233727 & 5.24743120864715 \tabularnewline
0.96 & 125.228808441373 & 5.88331947626943 \tabularnewline
0.97 & 128.342347487501 & 6.16060882728944 \tabularnewline
0.98 & 131.542733933018 & 5.63085022106891 \tabularnewline
0.99 & 134.261170671999 & 4.24061285338236 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207053&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]44.050910516893[/C][C]0.714853421704532[/C][/ROW]
[ROW][C]0.02[/C][C]44.6598611826497[/C][C]1.62966790651376[/C][/ROW]
[ROW][C]0.03[/C][C]45.6574012686537[/C][C]2.64166567073276[/C][/ROW]
[ROW][C]0.04[/C][C]46.991324219102[/C][C]3.52025487002871[/C][/ROW]
[ROW][C]0.05[/C][C]48.5541999766308[/C][C]4.11600393338034[/C][/ROW]
[ROW][C]0.06[/C][C]50.2176268576212[/C][C]4.37360878738082[/C][/ROW]
[ROW][C]0.07[/C][C]51.8635583389599[/C][C]4.32935669569374[/C][/ROW]
[ROW][C]0.08[/C][C]53.4051520511902[/C][C]4.07911258618416[/C][/ROW]
[ROW][C]0.09[/C][C]54.794144214115[/C][C]3.7324602053241[/C][/ROW]
[ROW][C]0.1[/C][C]56.0167250541698[/C][C]3.37741757453797[/C][/ROW]
[ROW][C]0.11[/C][C]57.0830406763612[/C][C]3.06587342610416[/C][/ROW]
[ROW][C]0.12[/C][C]58.0157065331829[/C][C]2.81687820072046[/C][/ROW]
[ROW][C]0.13[/C][C]58.8408566391482[/C][C]2.62902964956586[/C][/ROW]
[ROW][C]0.14[/C][C]59.5828898130419[/C][C]2.49295777076276[/C][/ROW]
[ROW][C]0.15[/C][C]60.2623915077285[/C][C]2.39905572062243[/C][/ROW]
[ROW][C]0.16[/C][C]60.8960210125553[/C][C]2.34140770593136[/C][/ROW]
[ROW][C]0.17[/C][C]61.4971998393904[/C][C]2.31716226236129[/C][/ROW]
[ROW][C]0.18[/C][C]62.0768214259[/C][C]2.3239707009079[/C][/ROW]
[ROW][C]0.19[/C][C]62.6436336397348[/C][C]2.35766552664088[/C][/ROW]
[ROW][C]0.2[/C][C]63.2042787379134[/C][C]2.41059695980179[/C][/ROW]
[ROW][C]0.21[/C][C]63.7631648334179[/C][C]2.47208312031091[/C][/ROW]
[ROW][C]0.22[/C][C]64.3223946985945[/C][C]2.53050172600694[/C][/ROW]
[ROW][C]0.23[/C][C]64.8819244818508[/C][C]2.57553967485113[/C][/ROW]
[ROW][C]0.24[/C][C]65.4400135149328[/C][C]2.60058015054776[/C][/ROW]
[ROW][C]0.25[/C][C]65.9939071784745[/C][C]2.60352263401053[/C][/ROW]
[ROW][C]0.26[/C][C]66.5406093091911[/C][C]2.58674760789288[/C][/ROW]
[ROW][C]0.27[/C][C]67.0775717309094[/C][C]2.55628370130206[/C][/ROW]
[ROW][C]0.28[/C][C]67.6031569477866[/C][C]2.51950195159744[/C][/ROW]
[ROW][C]0.29[/C][C]68.1167985063883[/C][C]2.48343641288797[/C][/ROW]
[ROW][C]0.3[/C][C]68.618865502957[/C][C]2.45311648414407[/C][/ROW]
[ROW][C]0.31[/C][C]69.1103075369505[/C][C]2.42980383428013[/C][/ROW]
[ROW][C]0.32[/C][C]69.5921969042199[/C][C]2.41223030286647[/C][/ROW]
[ROW][C]0.33[/C][C]70.0652905145925[/C][C]2.39597349072454[/C][/ROW]
[ROW][C]0.34[/C][C]70.5297100855736[/C][C]2.37592692485561[/C][/ROW]
[ROW][C]0.35[/C][C]70.9847974414515[/C][C]2.34659004013217[/C][/ROW]
[ROW][C]0.36[/C][C]71.4291558282977[/C][C]2.30404338853516[/C][/ROW]
[ROW][C]0.37[/C][C]71.8608493212243[/C][C]2.24592223913136[/C][/ROW]
[ROW][C]0.38[/C][C]72.2777073607882[/C][C]2.17204349204315[/C][/ROW]
[ROW][C]0.39[/C][C]72.6776720157504[/C][C]2.08436717966778[/C][/ROW]
[ROW][C]0.4[/C][C]73.0591297001499[/C][C]1.98667691006538[/C][/ROW]
[ROW][C]0.41[/C][C]73.4211826034952[/C][C]1.88377957239101[/C][/ROW]
[ROW][C]0.42[/C][C]73.7638333283251[/C][C]1.78176249958935[/C][/ROW]
[ROW][C]0.43[/C][C]74.0880750625897[/C][C]1.68652187888511[/C][/ROW]
[ROW][C]0.44[/C][C]74.3958960276821[/C][C]1.60374445404189[/C][/ROW]
[ROW][C]0.45[/C][C]74.6902190213326[/C][C]1.5389829569545[/C][/ROW]
[ROW][C]0.46[/C][C]74.9748035703442[/C][C]1.49686766150121[/C][/ROW]
[ROW][C]0.47[/C][C]75.2541390958264[/C][C]1.48110544855165[/C][/ROW]
[ROW][C]0.48[/C][C]75.5333526679105[/C][C]1.49526679485635[/C][/ROW]
[ROW][C]0.49[/C][C]75.8181450779894[/C][C]1.54169821394967[/C][/ROW]
[ROW][C]0.5[/C][C]76.1147555386378[/C][C]1.62350840680224[/C][/ROW]
[ROW][C]0.51[/C][C]76.4299406579574[/C][C]1.74328054945124[/C][/ROW]
[ROW][C]0.52[/C][C]76.7709404943509[/C][C]1.90332379244834[/C][/ROW]
[ROW][C]0.53[/C][C]77.1453968440028[/C][C]2.1061184479596[/C][/ROW]
[ROW][C]0.54[/C][C]77.5611893666267[/C][C]2.35231300233617[/C][/ROW]
[ROW][C]0.55[/C][C]78.0261653305899[/C][C]2.64052508694933[/C][/ROW]
[ROW][C]0.56[/C][C]78.5477582514763[/C][C]2.96695782954666[/C][/ROW]
[ROW][C]0.57[/C][C]79.1325167755602[/C][C]3.32445530384851[/C][/ROW]
[ROW][C]0.58[/C][C]79.7855930166834[/C][C]3.70297365428359[/C][/ROW]
[ROW][C]0.59[/C][C]80.5102631196783[/C][C]4.08983332491619[/C][/ROW]
[ROW][C]0.6[/C][C]81.3075659313903[/C][C]4.47075499998129[/C][/ROW]
[ROW][C]0.61[/C][C]82.1761433351953[/C][C]4.83141093661953[/C][/ROW]
[ROW][C]0.62[/C][C]83.1123454018757[/C][C]5.15865237657103[/C][/ROW]
[ROW][C]0.63[/C][C]84.1106255681974[/C][C]5.44260565443019[/C][/ROW]
[ROW][C]0.64[/C][C]85.1641997823007[/C][C]5.67775358437185[/C][/ROW]
[ROW][C]0.65[/C][C]86.2658868567158[/C][C]5.86413161841106[/C][/ROW]
[ROW][C]0.66[/C][C]87.4089961411774[/C][C]6.00713465081995[/C][/ROW]
[ROW][C]0.67[/C][C]88.5880956649057[/C][C]6.11709203651723[/C][/ROW]
[ROW][C]0.68[/C][C]89.7994907758905[/C][C]6.20688721231217[/C][/ROW]
[ROW][C]0.69[/C][C]91.0412774457403[/C][C]6.28892977549219[/C][/ROW]
[ROW][C]0.7[/C][C]92.3129056448903[/C][C]6.37239591979695[/C][/ROW]
[ROW][C]0.71[/C][C]93.6142866981394[/C][C]6.45951258214262[/C][/ROW]
[ROW][C]0.72[/C][C]94.9445853238618[/C][C]6.54462252621853[/C][/ROW]
[ROW][C]0.73[/C][C]96.3009276891988[/C][C]6.61358577583187[/C][/ROW]
[ROW][C]0.74[/C][C]97.6773075414363[/C][C]6.64698626542678[/C][/ROW]
[ROW][C]0.75[/C][C]99.0639669960396[/C][C]6.62343347273672[/C][/ROW]
[ROW][C]0.76[/C][C]100.447462707873[/C][C]6.52392631655697[/C][/ROW]
[ROW][C]0.77[/C][C]101.811510815523[/C][C]6.33622832395834[/C][/ROW]
[ROW][C]0.78[/C][C]103.138554394966[/C][C]6.05739626224896[/C][/ROW]
[ROW][C]0.79[/C][C]104.41184025778[/C][C]5.69586456284947[/C][/ROW]
[ROW][C]0.8[/C][C]105.617655691734[/C][C]5.27077241208136[/C][/ROW]
[ROW][C]0.81[/C][C]106.747290626813[/C][C]4.81036656969957[/C][/ROW]
[ROW][C]0.82[/C][C]107.798290362503[/C][C]4.34798315781609[/C][/ROW]
[ROW][C]0.83[/C][C]108.774681697431[/C][C]3.91710629649602[/C][/ROW]
[ROW][C]0.84[/C][C]109.686110606121[/C][C]3.54500751067608[/C][/ROW]
[ROW][C]0.85[/C][C]110.546203670414[/C][C]3.246995524668[/C][/ROW]
[ROW][C]0.86[/C][C]111.37087260377[/C][C]3.02363658583018[/C][/ROW]
[ROW][C]0.87[/C][C]112.177555174357[/C][C]2.86478672292375[/C][/ROW]
[ROW][C]0.88[/C][C]112.986309174192[/C][C]2.76095342390427[/C][/ROW]
[ROW][C]0.89[/C][C]113.823081503366[/C][C]2.71828464302733[/C][/ROW]
[ROW][C]0.9[/C][C]114.724420233618[/C][C]2.76822884733754[/C][/ROW]
[ROW][C]0.91[/C][C]115.741826673776[/C][C]2.96048242459289[/C][/ROW]
[ROW][C]0.92[/C][C]116.943571288134[/C][C]3.33231705484411[/C][/ROW]
[ROW][C]0.93[/C][C]118.412399091682[/C][C]3.87571737051984[/C][/ROW]
[ROW][C]0.94[/C][C]120.23785701472[/C][C]4.53837270365051[/C][/ROW]
[ROW][C]0.95[/C][C]122.499244233727[/C][C]5.24743120864715[/C][/ROW]
[ROW][C]0.96[/C][C]125.228808441373[/C][C]5.88331947626943[/C][/ROW]
[ROW][C]0.97[/C][C]128.342347487501[/C][C]6.16060882728944[/C][/ROW]
[ROW][C]0.98[/C][C]131.542733933018[/C][C]5.63085022106891[/C][/ROW]
[ROW][C]0.99[/C][C]134.261170671999[/C][C]4.24061285338236[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207053&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
0.0144.0509105168930.714853421704532
0.0244.65986118264971.62966790651376
0.0345.65740126865372.64166567073276
0.0446.9913242191023.52025487002871
0.0548.55419997663084.11600393338034
0.0650.21762685762124.37360878738082
0.0751.86355833895994.32935669569374
0.0853.40515205119024.07911258618416
0.0954.7941442141153.7324602053241
0.156.01672505416983.37741757453797
0.1157.08304067636123.06587342610416
0.1258.01570653318292.81687820072046
0.1358.84085663914822.62902964956586
0.1459.58288981304192.49295777076276
0.1560.26239150772852.39905572062243
0.1660.89602101255532.34140770593136
0.1761.49719983939042.31716226236129
0.1862.07682142592.3239707009079
0.1962.64363363973482.35766552664088
0.263.20427873791342.41059695980179
0.2163.76316483341792.47208312031091
0.2264.32239469859452.53050172600694
0.2364.88192448185082.57553967485113
0.2465.44001351493282.60058015054776
0.2565.99390717847452.60352263401053
0.2666.54060930919112.58674760789288
0.2767.07757173090942.55628370130206
0.2867.60315694778662.51950195159744
0.2968.11679850638832.48343641288797
0.368.6188655029572.45311648414407
0.3169.11030753695052.42980383428013
0.3269.59219690421992.41223030286647
0.3370.06529051459252.39597349072454
0.3470.52971008557362.37592692485561
0.3570.98479744145152.34659004013217
0.3671.42915582829772.30404338853516
0.3771.86084932122432.24592223913136
0.3872.27770736078822.17204349204315
0.3972.67767201575042.08436717966778
0.473.05912970014991.98667691006538
0.4173.42118260349521.88377957239101
0.4273.76383332832511.78176249958935
0.4374.08807506258971.68652187888511
0.4474.39589602768211.60374445404189
0.4574.69021902133261.5389829569545
0.4674.97480357034421.49686766150121
0.4775.25413909582641.48110544855165
0.4875.53335266791051.49526679485635
0.4975.81814507798941.54169821394967
0.576.11475553863781.62350840680224
0.5176.42994065795741.74328054945124
0.5276.77094049435091.90332379244834
0.5377.14539684400282.1061184479596
0.5477.56118936662672.35231300233617
0.5578.02616533058992.64052508694933
0.5678.54775825147632.96695782954666
0.5779.13251677556023.32445530384851
0.5879.78559301668343.70297365428359
0.5980.51026311967834.08983332491619
0.681.30756593139034.47075499998129
0.6182.17614333519534.83141093661953
0.6283.11234540187575.15865237657103
0.6384.11062556819745.44260565443019
0.6485.16419978230075.67775358437185
0.6586.26588685671585.86413161841106
0.6687.40899614117746.00713465081995
0.6788.58809566490576.11709203651723
0.6889.79949077589056.20688721231217
0.6991.04127744574036.28892977549219
0.792.31290564489036.37239591979695
0.7193.61428669813946.45951258214262
0.7294.94458532386186.54462252621853
0.7396.30092768919886.61358577583187
0.7497.67730754143636.64698626542678
0.7599.06396699603966.62343347273672
0.76100.4474627078736.52392631655697
0.77101.8115108155236.33622832395834
0.78103.1385543949666.05739626224896
0.79104.411840257785.69586456284947
0.8105.6176556917345.27077241208136
0.81106.7472906268134.81036656969957
0.82107.7982903625034.34798315781609
0.83108.7746816974313.91710629649602
0.84109.6861106061213.54500751067608
0.85110.5462036704143.246995524668
0.86111.370872603773.02363658583018
0.87112.1775551743572.86478672292375
0.88112.9863091741922.76095342390427
0.89113.8230815033662.71828464302733
0.9114.7244202336182.76822884733754
0.91115.7418266737762.96048242459289
0.92116.9435712881343.33231705484411
0.93118.4123990916823.87571737051984
0.94120.237857014724.53837270365051
0.95122.4992442337275.24743120864715
0.96125.2288084413735.88331947626943
0.97128.3423474875016.16060882728944
0.98131.5427339330185.63085022106891
0.99134.2611706719994.24061285338236


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')