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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 computationSun, 19 Oct 2008 13:09:20 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/19/t12244433759j6tv30d14fjyqi.htm/, Retrieved Sun, 19 May 2024 13:19:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17063, Retrieved Sun, 19 May 2024 13:19:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [] [2008-10-13 23:08:02] [e6c4428cda034f2790871b3ffa59aa02]
-   PD  [Univariate Data Series] [] [2008-10-19 17:39:13] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD    [Univariate Data Series] [] [2008-10-19 17:42:24] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD      [Univariate Data Series] [] [2008-10-19 17:44:18] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMPD        [Central Tendency] [] [2008-10-19 18:11:56] [7c33e759a6f7358dc2f6505c3a7a1eae]
F    D          [Central Tendency] [] [2008-10-19 18:20:29] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMPD            [Stem-and-leaf Plot] [] [2008-10-19 19:05:16] [e6c4428cda034f2790871b3ffa59aa02]
- RMP               [Percentiles] [] [2008-10-19 19:07:03] [e6c4428cda034f2790871b3ffa59aa02]
- RMP                   [Harrell-Davis Quantiles] [] [2008-10-19 19:09:20] [c0a347e3519123f7eef62b705326dad9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.6
92.8
107.6
104.6
103.0
106.9
56.3
93.4
109.1
113.8
97.4
72.5
82.7
88.9
105.9
100.8
94.0
105.0
58.5
87.6
113.1
112.5
89.6
74.5
82.7
90.1
109.4
96.0
89.2
109.1
49.1
92.9
107.7
103.5
91.1
79.8
71.9
82.9
90.1
100.7
90.7
108.8
44.1
93.6
107.4
96.5
93.6
76.5
76.7
84.0
103.3
88.5
99.0
105.9
44.7
94.0
107.1
104.8
102.5
77.7
85.2
91.3
106.5
92.4
97.5
107.0
51.1
98.6
102.2
114.3
99.4
72.5
92.3
99.4
85.9
109.4
97.6
104.7
56.5

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17063&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17063&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0144.79194509928571.80358885437694
0.0246.27826545227753.31889068227223
0.0348.35704901919044.4079464656421
0.0450.76571437984185.20192925090346
0.0553.3394056164085.96650175543689
0.0656.01320244366556.76306915604947
0.0758.75713943465767.4631073942487
0.0861.52286599877287.8745193562289
0.0964.23006393132887.8720963512689
0.166.78481264542427.4653442304092
0.1169.1088570166366.78386496021622
0.1271.16099859508546.00952840330017
0.1372.94194864411815.30328460235841
0.1474.48462316280074.75844535052877
0.1575.83772992098614.39199856490401
0.1677.0505276646374.1674099603374
0.1778.16319681008134.02927755918655
0.1879.20344314458473.92906292111006
0.1980.1875932107223.83550987454225
0.281.12379730357283.73412880644761
0.2182.01542872707923.62198216133169
0.2282.8636309959263.50092829550151
0.2383.66874070905323.37360231534915
0.2484.43080768231853.23979436278791
0.2585.14963265258833.09731290673398
0.2685.82471798153652.94307026292293
0.2786.45537611426862.77558211338514
0.2887.04105745106062.59666833921966
0.2987.58181403970022.41111572173594
0.388.07874472947852.22694254270851
0.3188.53427355953932.05277536716228
0.3288.95217350035551.89760808228406
0.3389.33732885612981.76772474246251
0.3489.69530122172221.6663719592572
0.3590.03180678545961.59317549877220
0.3690.35222135570291.54506855523501
0.3790.66120888841031.51660714178867
0.3890.9625305005261.50204025453993
0.3991.25904615467051.4964792290176
0.491.55288060482691.49652454542447
0.4191.84569564533181.50130663517572
0.4292.13899562487731.51148050366708
0.4392.43439316207641.52935643343819
0.4492.73377548610311.55784749526753
0.4593.03933567287651.59959283623665
0.4693.35346284494221.65586207654855
0.4793.67851584132691.72573697166951
0.4894.01653029513031.80608092288364
0.4994.36892436558861.89184210019389
0.594.73627005189961.97704329428324
0.5195.11818418084922.05540215231742
0.5295.5133681019832.12155979702723
0.5395.91979311305922.17226275393563
0.5496.3349968582082.20571997724063
0.5596.75643176912612.22322964325403
0.5697.18179572887082.22769588249523
0.5797.60927999958132.22336067777074
0.5898.03768871035482.21423091560005
0.5998.4664130788052.20412768179655
0.698.89527516101522.19526614739107
0.6199.32428307023482.18779635625727
0.6299.75335643956182.18032014961260
0.63100.1820842387822.16984494989163
0.64100.6095669037752.15282735188075
0.65101.0343741104302.12611515162564
0.66101.4546235655662.08726017463701
0.67101.8681608436592.03541303913168
0.68102.2728008639981.97097517881316
0.69102.6665815062201.89644236364823
0.7103.0479800739821.81458904120379
0.71103.4160525737221.72922027606085
0.72103.7704714821311.64387515566755
0.73104.1114570106331.56146114865730
0.74104.4396174872811.48395957038860
0.75104.7557343603431.41177611108502
0.76105.0605439812681.34425271272336
0.77105.3545778580701.27962181676187
0.78105.6381201811561.21592339580536
0.79105.9113208793371.15172315232278
0.8106.1744620344561.08724413838888
0.81106.4283195262011.02455203844856
0.82106.6745042061870.967830356821678
0.83106.9156320495250.922384408763146
0.84107.1551923283960.892880287647903
0.85107.3970865439900.880814572914336
0.86107.6450074457190.883001419689338
0.87107.9020760861810.892307780830126
0.88108.1713331546800.90170017857121
0.89108.4575743865030.911212638175952
0.9108.7703828401530.93503471549806
0.91109.1269642793061.00405611235746
0.92109.5519714137421.15024010204559
0.93110.0711470258951.37058959633366
0.94110.6980197199131.60217197854490
0.95111.4185670969001.73606738683842
0.96112.1845460676681.67088094163856
0.97112.9245288510571.38527360429438
0.98113.5663356993740.97675542457471
0.99114.0460804571080.629455501835093

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.7919450992857 & 1.80358885437694 \tabularnewline
0.02 & 46.2782654522775 & 3.31889068227223 \tabularnewline
0.03 & 48.3570490191904 & 4.4079464656421 \tabularnewline
0.04 & 50.7657143798418 & 5.20192925090346 \tabularnewline
0.05 & 53.339405616408 & 5.96650175543689 \tabularnewline
0.06 & 56.0132024436655 & 6.76306915604947 \tabularnewline
0.07 & 58.7571394346576 & 7.4631073942487 \tabularnewline
0.08 & 61.5228659987728 & 7.8745193562289 \tabularnewline
0.09 & 64.2300639313288 & 7.8720963512689 \tabularnewline
0.1 & 66.7848126454242 & 7.4653442304092 \tabularnewline
0.11 & 69.108857016636 & 6.78386496021622 \tabularnewline
0.12 & 71.1609985950854 & 6.00952840330017 \tabularnewline
0.13 & 72.9419486441181 & 5.30328460235841 \tabularnewline
0.14 & 74.4846231628007 & 4.75844535052877 \tabularnewline
0.15 & 75.8377299209861 & 4.39199856490401 \tabularnewline
0.16 & 77.050527664637 & 4.1674099603374 \tabularnewline
0.17 & 78.1631968100813 & 4.02927755918655 \tabularnewline
0.18 & 79.2034431445847 & 3.92906292111006 \tabularnewline
0.19 & 80.187593210722 & 3.83550987454225 \tabularnewline
0.2 & 81.1237973035728 & 3.73412880644761 \tabularnewline
0.21 & 82.0154287270792 & 3.62198216133169 \tabularnewline
0.22 & 82.863630995926 & 3.50092829550151 \tabularnewline
0.23 & 83.6687407090532 & 3.37360231534915 \tabularnewline
0.24 & 84.4308076823185 & 3.23979436278791 \tabularnewline
0.25 & 85.1496326525883 & 3.09731290673398 \tabularnewline
0.26 & 85.8247179815365 & 2.94307026292293 \tabularnewline
0.27 & 86.4553761142686 & 2.77558211338514 \tabularnewline
0.28 & 87.0410574510606 & 2.59666833921966 \tabularnewline
0.29 & 87.5818140397002 & 2.41111572173594 \tabularnewline
0.3 & 88.0787447294785 & 2.22694254270851 \tabularnewline
0.31 & 88.5342735595393 & 2.05277536716228 \tabularnewline
0.32 & 88.9521735003555 & 1.89760808228406 \tabularnewline
0.33 & 89.3373288561298 & 1.76772474246251 \tabularnewline
0.34 & 89.6953012217222 & 1.6663719592572 \tabularnewline
0.35 & 90.0318067854596 & 1.59317549877220 \tabularnewline
0.36 & 90.3522213557029 & 1.54506855523501 \tabularnewline
0.37 & 90.6612088884103 & 1.51660714178867 \tabularnewline
0.38 & 90.962530500526 & 1.50204025453993 \tabularnewline
0.39 & 91.2590461546705 & 1.4964792290176 \tabularnewline
0.4 & 91.5528806048269 & 1.49652454542447 \tabularnewline
0.41 & 91.8456956453318 & 1.50130663517572 \tabularnewline
0.42 & 92.1389956248773 & 1.51148050366708 \tabularnewline
0.43 & 92.4343931620764 & 1.52935643343819 \tabularnewline
0.44 & 92.7337754861031 & 1.55784749526753 \tabularnewline
0.45 & 93.0393356728765 & 1.59959283623665 \tabularnewline
0.46 & 93.3534628449422 & 1.65586207654855 \tabularnewline
0.47 & 93.6785158413269 & 1.72573697166951 \tabularnewline
0.48 & 94.0165302951303 & 1.80608092288364 \tabularnewline
0.49 & 94.3689243655886 & 1.89184210019389 \tabularnewline
0.5 & 94.7362700518996 & 1.97704329428324 \tabularnewline
0.51 & 95.1181841808492 & 2.05540215231742 \tabularnewline
0.52 & 95.513368101983 & 2.12155979702723 \tabularnewline
0.53 & 95.9197931130592 & 2.17226275393563 \tabularnewline
0.54 & 96.334996858208 & 2.20571997724063 \tabularnewline
0.55 & 96.7564317691261 & 2.22322964325403 \tabularnewline
0.56 & 97.1817957288708 & 2.22769588249523 \tabularnewline
0.57 & 97.6092799995813 & 2.22336067777074 \tabularnewline
0.58 & 98.0376887103548 & 2.21423091560005 \tabularnewline
0.59 & 98.466413078805 & 2.20412768179655 \tabularnewline
0.6 & 98.8952751610152 & 2.19526614739107 \tabularnewline
0.61 & 99.3242830702348 & 2.18779635625727 \tabularnewline
0.62 & 99.7533564395618 & 2.18032014961260 \tabularnewline
0.63 & 100.182084238782 & 2.16984494989163 \tabularnewline
0.64 & 100.609566903775 & 2.15282735188075 \tabularnewline
0.65 & 101.034374110430 & 2.12611515162564 \tabularnewline
0.66 & 101.454623565566 & 2.08726017463701 \tabularnewline
0.67 & 101.868160843659 & 2.03541303913168 \tabularnewline
0.68 & 102.272800863998 & 1.97097517881316 \tabularnewline
0.69 & 102.666581506220 & 1.89644236364823 \tabularnewline
0.7 & 103.047980073982 & 1.81458904120379 \tabularnewline
0.71 & 103.416052573722 & 1.72922027606085 \tabularnewline
0.72 & 103.770471482131 & 1.64387515566755 \tabularnewline
0.73 & 104.111457010633 & 1.56146114865730 \tabularnewline
0.74 & 104.439617487281 & 1.48395957038860 \tabularnewline
0.75 & 104.755734360343 & 1.41177611108502 \tabularnewline
0.76 & 105.060543981268 & 1.34425271272336 \tabularnewline
0.77 & 105.354577858070 & 1.27962181676187 \tabularnewline
0.78 & 105.638120181156 & 1.21592339580536 \tabularnewline
0.79 & 105.911320879337 & 1.15172315232278 \tabularnewline
0.8 & 106.174462034456 & 1.08724413838888 \tabularnewline
0.81 & 106.428319526201 & 1.02455203844856 \tabularnewline
0.82 & 106.674504206187 & 0.967830356821678 \tabularnewline
0.83 & 106.915632049525 & 0.922384408763146 \tabularnewline
0.84 & 107.155192328396 & 0.892880287647903 \tabularnewline
0.85 & 107.397086543990 & 0.880814572914336 \tabularnewline
0.86 & 107.645007445719 & 0.883001419689338 \tabularnewline
0.87 & 107.902076086181 & 0.892307780830126 \tabularnewline
0.88 & 108.171333154680 & 0.90170017857121 \tabularnewline
0.89 & 108.457574386503 & 0.911212638175952 \tabularnewline
0.9 & 108.770382840153 & 0.93503471549806 \tabularnewline
0.91 & 109.126964279306 & 1.00405611235746 \tabularnewline
0.92 & 109.551971413742 & 1.15024010204559 \tabularnewline
0.93 & 110.071147025895 & 1.37058959633366 \tabularnewline
0.94 & 110.698019719913 & 1.60217197854490 \tabularnewline
0.95 & 111.418567096900 & 1.73606738683842 \tabularnewline
0.96 & 112.184546067668 & 1.67088094163856 \tabularnewline
0.97 & 112.924528851057 & 1.38527360429438 \tabularnewline
0.98 & 113.566335699374 & 0.97675542457471 \tabularnewline
0.99 & 114.046080457108 & 0.629455501835093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17063&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]44.7919450992857[/C][C]1.80358885437694[/C][/ROW]
[ROW][C]0.02[/C][C]46.2782654522775[/C][C]3.31889068227223[/C][/ROW]
[ROW][C]0.03[/C][C]48.3570490191904[/C][C]4.4079464656421[/C][/ROW]
[ROW][C]0.04[/C][C]50.7657143798418[/C][C]5.20192925090346[/C][/ROW]
[ROW][C]0.05[/C][C]53.339405616408[/C][C]5.96650175543689[/C][/ROW]
[ROW][C]0.06[/C][C]56.0132024436655[/C][C]6.76306915604947[/C][/ROW]
[ROW][C]0.07[/C][C]58.7571394346576[/C][C]7.4631073942487[/C][/ROW]
[ROW][C]0.08[/C][C]61.5228659987728[/C][C]7.8745193562289[/C][/ROW]
[ROW][C]0.09[/C][C]64.2300639313288[/C][C]7.8720963512689[/C][/ROW]
[ROW][C]0.1[/C][C]66.7848126454242[/C][C]7.4653442304092[/C][/ROW]
[ROW][C]0.11[/C][C]69.108857016636[/C][C]6.78386496021622[/C][/ROW]
[ROW][C]0.12[/C][C]71.1609985950854[/C][C]6.00952840330017[/C][/ROW]
[ROW][C]0.13[/C][C]72.9419486441181[/C][C]5.30328460235841[/C][/ROW]
[ROW][C]0.14[/C][C]74.4846231628007[/C][C]4.75844535052877[/C][/ROW]
[ROW][C]0.15[/C][C]75.8377299209861[/C][C]4.39199856490401[/C][/ROW]
[ROW][C]0.16[/C][C]77.050527664637[/C][C]4.1674099603374[/C][/ROW]
[ROW][C]0.17[/C][C]78.1631968100813[/C][C]4.02927755918655[/C][/ROW]
[ROW][C]0.18[/C][C]79.2034431445847[/C][C]3.92906292111006[/C][/ROW]
[ROW][C]0.19[/C][C]80.187593210722[/C][C]3.83550987454225[/C][/ROW]
[ROW][C]0.2[/C][C]81.1237973035728[/C][C]3.73412880644761[/C][/ROW]
[ROW][C]0.21[/C][C]82.0154287270792[/C][C]3.62198216133169[/C][/ROW]
[ROW][C]0.22[/C][C]82.863630995926[/C][C]3.50092829550151[/C][/ROW]
[ROW][C]0.23[/C][C]83.6687407090532[/C][C]3.37360231534915[/C][/ROW]
[ROW][C]0.24[/C][C]84.4308076823185[/C][C]3.23979436278791[/C][/ROW]
[ROW][C]0.25[/C][C]85.1496326525883[/C][C]3.09731290673398[/C][/ROW]
[ROW][C]0.26[/C][C]85.8247179815365[/C][C]2.94307026292293[/C][/ROW]
[ROW][C]0.27[/C][C]86.4553761142686[/C][C]2.77558211338514[/C][/ROW]
[ROW][C]0.28[/C][C]87.0410574510606[/C][C]2.59666833921966[/C][/ROW]
[ROW][C]0.29[/C][C]87.5818140397002[/C][C]2.41111572173594[/C][/ROW]
[ROW][C]0.3[/C][C]88.0787447294785[/C][C]2.22694254270851[/C][/ROW]
[ROW][C]0.31[/C][C]88.5342735595393[/C][C]2.05277536716228[/C][/ROW]
[ROW][C]0.32[/C][C]88.9521735003555[/C][C]1.89760808228406[/C][/ROW]
[ROW][C]0.33[/C][C]89.3373288561298[/C][C]1.76772474246251[/C][/ROW]
[ROW][C]0.34[/C][C]89.6953012217222[/C][C]1.6663719592572[/C][/ROW]
[ROW][C]0.35[/C][C]90.0318067854596[/C][C]1.59317549877220[/C][/ROW]
[ROW][C]0.36[/C][C]90.3522213557029[/C][C]1.54506855523501[/C][/ROW]
[ROW][C]0.37[/C][C]90.6612088884103[/C][C]1.51660714178867[/C][/ROW]
[ROW][C]0.38[/C][C]90.962530500526[/C][C]1.50204025453993[/C][/ROW]
[ROW][C]0.39[/C][C]91.2590461546705[/C][C]1.4964792290176[/C][/ROW]
[ROW][C]0.4[/C][C]91.5528806048269[/C][C]1.49652454542447[/C][/ROW]
[ROW][C]0.41[/C][C]91.8456956453318[/C][C]1.50130663517572[/C][/ROW]
[ROW][C]0.42[/C][C]92.1389956248773[/C][C]1.51148050366708[/C][/ROW]
[ROW][C]0.43[/C][C]92.4343931620764[/C][C]1.52935643343819[/C][/ROW]
[ROW][C]0.44[/C][C]92.7337754861031[/C][C]1.55784749526753[/C][/ROW]
[ROW][C]0.45[/C][C]93.0393356728765[/C][C]1.59959283623665[/C][/ROW]
[ROW][C]0.46[/C][C]93.3534628449422[/C][C]1.65586207654855[/C][/ROW]
[ROW][C]0.47[/C][C]93.6785158413269[/C][C]1.72573697166951[/C][/ROW]
[ROW][C]0.48[/C][C]94.0165302951303[/C][C]1.80608092288364[/C][/ROW]
[ROW][C]0.49[/C][C]94.3689243655886[/C][C]1.89184210019389[/C][/ROW]
[ROW][C]0.5[/C][C]94.7362700518996[/C][C]1.97704329428324[/C][/ROW]
[ROW][C]0.51[/C][C]95.1181841808492[/C][C]2.05540215231742[/C][/ROW]
[ROW][C]0.52[/C][C]95.513368101983[/C][C]2.12155979702723[/C][/ROW]
[ROW][C]0.53[/C][C]95.9197931130592[/C][C]2.17226275393563[/C][/ROW]
[ROW][C]0.54[/C][C]96.334996858208[/C][C]2.20571997724063[/C][/ROW]
[ROW][C]0.55[/C][C]96.7564317691261[/C][C]2.22322964325403[/C][/ROW]
[ROW][C]0.56[/C][C]97.1817957288708[/C][C]2.22769588249523[/C][/ROW]
[ROW][C]0.57[/C][C]97.6092799995813[/C][C]2.22336067777074[/C][/ROW]
[ROW][C]0.58[/C][C]98.0376887103548[/C][C]2.21423091560005[/C][/ROW]
[ROW][C]0.59[/C][C]98.466413078805[/C][C]2.20412768179655[/C][/ROW]
[ROW][C]0.6[/C][C]98.8952751610152[/C][C]2.19526614739107[/C][/ROW]
[ROW][C]0.61[/C][C]99.3242830702348[/C][C]2.18779635625727[/C][/ROW]
[ROW][C]0.62[/C][C]99.7533564395618[/C][C]2.18032014961260[/C][/ROW]
[ROW][C]0.63[/C][C]100.182084238782[/C][C]2.16984494989163[/C][/ROW]
[ROW][C]0.64[/C][C]100.609566903775[/C][C]2.15282735188075[/C][/ROW]
[ROW][C]0.65[/C][C]101.034374110430[/C][C]2.12611515162564[/C][/ROW]
[ROW][C]0.66[/C][C]101.454623565566[/C][C]2.08726017463701[/C][/ROW]
[ROW][C]0.67[/C][C]101.868160843659[/C][C]2.03541303913168[/C][/ROW]
[ROW][C]0.68[/C][C]102.272800863998[/C][C]1.97097517881316[/C][/ROW]
[ROW][C]0.69[/C][C]102.666581506220[/C][C]1.89644236364823[/C][/ROW]
[ROW][C]0.7[/C][C]103.047980073982[/C][C]1.81458904120379[/C][/ROW]
[ROW][C]0.71[/C][C]103.416052573722[/C][C]1.72922027606085[/C][/ROW]
[ROW][C]0.72[/C][C]103.770471482131[/C][C]1.64387515566755[/C][/ROW]
[ROW][C]0.73[/C][C]104.111457010633[/C][C]1.56146114865730[/C][/ROW]
[ROW][C]0.74[/C][C]104.439617487281[/C][C]1.48395957038860[/C][/ROW]
[ROW][C]0.75[/C][C]104.755734360343[/C][C]1.41177611108502[/C][/ROW]
[ROW][C]0.76[/C][C]105.060543981268[/C][C]1.34425271272336[/C][/ROW]
[ROW][C]0.77[/C][C]105.354577858070[/C][C]1.27962181676187[/C][/ROW]
[ROW][C]0.78[/C][C]105.638120181156[/C][C]1.21592339580536[/C][/ROW]
[ROW][C]0.79[/C][C]105.911320879337[/C][C]1.15172315232278[/C][/ROW]
[ROW][C]0.8[/C][C]106.174462034456[/C][C]1.08724413838888[/C][/ROW]
[ROW][C]0.81[/C][C]106.428319526201[/C][C]1.02455203844856[/C][/ROW]
[ROW][C]0.82[/C][C]106.674504206187[/C][C]0.967830356821678[/C][/ROW]
[ROW][C]0.83[/C][C]106.915632049525[/C][C]0.922384408763146[/C][/ROW]
[ROW][C]0.84[/C][C]107.155192328396[/C][C]0.892880287647903[/C][/ROW]
[ROW][C]0.85[/C][C]107.397086543990[/C][C]0.880814572914336[/C][/ROW]
[ROW][C]0.86[/C][C]107.645007445719[/C][C]0.883001419689338[/C][/ROW]
[ROW][C]0.87[/C][C]107.902076086181[/C][C]0.892307780830126[/C][/ROW]
[ROW][C]0.88[/C][C]108.171333154680[/C][C]0.90170017857121[/C][/ROW]
[ROW][C]0.89[/C][C]108.457574386503[/C][C]0.911212638175952[/C][/ROW]
[ROW][C]0.9[/C][C]108.770382840153[/C][C]0.93503471549806[/C][/ROW]
[ROW][C]0.91[/C][C]109.126964279306[/C][C]1.00405611235746[/C][/ROW]
[ROW][C]0.92[/C][C]109.551971413742[/C][C]1.15024010204559[/C][/ROW]
[ROW][C]0.93[/C][C]110.071147025895[/C][C]1.37058959633366[/C][/ROW]
[ROW][C]0.94[/C][C]110.698019719913[/C][C]1.60217197854490[/C][/ROW]
[ROW][C]0.95[/C][C]111.418567096900[/C][C]1.73606738683842[/C][/ROW]
[ROW][C]0.96[/C][C]112.184546067668[/C][C]1.67088094163856[/C][/ROW]
[ROW][C]0.97[/C][C]112.924528851057[/C][C]1.38527360429438[/C][/ROW]
[ROW][C]0.98[/C][C]113.566335699374[/C][C]0.97675542457471[/C][/ROW]
[ROW][C]0.99[/C][C]114.046080457108[/C][C]0.629455501835093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17063&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17063&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
0.0144.79194509928571.80358885437694
0.0246.27826545227753.31889068227223
0.0348.35704901919044.4079464656421
0.0450.76571437984185.20192925090346
0.0553.3394056164085.96650175543689
0.0656.01320244366556.76306915604947
0.0758.75713943465767.4631073942487
0.0861.52286599877287.8745193562289
0.0964.23006393132887.8720963512689
0.166.78481264542427.4653442304092
0.1169.1088570166366.78386496021622
0.1271.16099859508546.00952840330017
0.1372.94194864411815.30328460235841
0.1474.48462316280074.75844535052877
0.1575.83772992098614.39199856490401
0.1677.0505276646374.1674099603374
0.1778.16319681008134.02927755918655
0.1879.20344314458473.92906292111006
0.1980.1875932107223.83550987454225
0.281.12379730357283.73412880644761
0.2182.01542872707923.62198216133169
0.2282.8636309959263.50092829550151
0.2383.66874070905323.37360231534915
0.2484.43080768231853.23979436278791
0.2585.14963265258833.09731290673398
0.2685.82471798153652.94307026292293
0.2786.45537611426862.77558211338514
0.2887.04105745106062.59666833921966
0.2987.58181403970022.41111572173594
0.388.07874472947852.22694254270851
0.3188.53427355953932.05277536716228
0.3288.95217350035551.89760808228406
0.3389.33732885612981.76772474246251
0.3489.69530122172221.6663719592572
0.3590.03180678545961.59317549877220
0.3690.35222135570291.54506855523501
0.3790.66120888841031.51660714178867
0.3890.9625305005261.50204025453993
0.3991.25904615467051.4964792290176
0.491.55288060482691.49652454542447
0.4191.84569564533181.50130663517572
0.4292.13899562487731.51148050366708
0.4392.43439316207641.52935643343819
0.4492.73377548610311.55784749526753
0.4593.03933567287651.59959283623665
0.4693.35346284494221.65586207654855
0.4793.67851584132691.72573697166951
0.4894.01653029513031.80608092288364
0.4994.36892436558861.89184210019389
0.594.73627005189961.97704329428324
0.5195.11818418084922.05540215231742
0.5295.5133681019832.12155979702723
0.5395.91979311305922.17226275393563
0.5496.3349968582082.20571997724063
0.5596.75643176912612.22322964325403
0.5697.18179572887082.22769588249523
0.5797.60927999958132.22336067777074
0.5898.03768871035482.21423091560005
0.5998.4664130788052.20412768179655
0.698.89527516101522.19526614739107
0.6199.32428307023482.18779635625727
0.6299.75335643956182.18032014961260
0.63100.1820842387822.16984494989163
0.64100.6095669037752.15282735188075
0.65101.0343741104302.12611515162564
0.66101.4546235655662.08726017463701
0.67101.8681608436592.03541303913168
0.68102.2728008639981.97097517881316
0.69102.6665815062201.89644236364823
0.7103.0479800739821.81458904120379
0.71103.4160525737221.72922027606085
0.72103.7704714821311.64387515566755
0.73104.1114570106331.56146114865730
0.74104.4396174872811.48395957038860
0.75104.7557343603431.41177611108502
0.76105.0605439812681.34425271272336
0.77105.3545778580701.27962181676187
0.78105.6381201811561.21592339580536
0.79105.9113208793371.15172315232278
0.8106.1744620344561.08724413838888
0.81106.4283195262011.02455203844856
0.82106.6745042061870.967830356821678
0.83106.9156320495250.922384408763146
0.84107.1551923283960.892880287647903
0.85107.3970865439900.880814572914336
0.86107.6450074457190.883001419689338
0.87107.9020760861810.892307780830126
0.88108.1713331546800.90170017857121
0.89108.4575743865030.911212638175952
0.9108.7703828401530.93503471549806
0.91109.1269642793061.00405611235746
0.92109.5519714137421.15024010204559
0.93110.0711470258951.37058959633366
0.94110.6980197199131.60217197854490
0.95111.4185670969001.73606738683842
0.96112.1845460676681.67088094163856
0.97112.9245288510571.38527360429438
0.98113.5663356993740.97675542457471
0.99114.0460804571080.629455501835093


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')