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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 07 Dec 2015 15:19:05 +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/2015/Dec/07/t1449501560l7ejjlqcz3pzibg.htm/, Retrieved Thu, 16 May 2024 04:48:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285412, Retrieved Thu, 16 May 2024 04:48:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [Harrel-Davis Quan...] [2015-12-07 15:19:05] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
276444
268606
267679
269879
265641
262525
258597
253849
256221
286895
294610
280363
269926
264341
263269
271045
267915
262078
257751
253271
257638
287452
298152
284793
274560
268270
267577
271866
268546
264722
262425
258973
262751
296186
304659
295442
285466
279575
279985
286012
281337
276270
271472
265637
268974
299299
305452
295468
285584
278204
276505
279732
276980
271832
263105
256162
260705
285857
291870
280358
270981

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=285412&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=285412&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285412&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
0.01253537.866944032860.386897903996
0.02254020.2505673431231.10456497964
0.03254631.7490061141445.01206094047
0.04255280.0527708961478.92177150657
0.05255903.9922601841430.0701227242
0.06256479.3667259741391.52183607874
0.07257008.2799130691403.01223768661
0.08257504.9953682581463.91510281857
0.09257985.2637120971557.76168686639
0.1258460.677925561663.90611893706
0.11258936.8599206651761.44924603359
0.12259413.8273959131832.14336736636
0.13259887.4156204711863.07625545135
0.14260351.1476750831850.5239182234
0.15260798.1727444971799.1570474813
0.16261222.9474001751720.84669893889
0.17261622.3912634241631.65685242251
0.18261996.3714301081549.29004481077
0.19262347.5301920571487.80099755584
0.2262680.6088315351457.12004766626
0.21263001.4957199731459.34097286218
0.22263316.2316915581491.31665433906
0.23263630.1571588111545.12900122595
0.24263947.3115864061611.12166244617
0.25264270.122300961679.97217583668
0.26264599.3625698911742.6830985406
0.27264934.3244548431793.1724030011
0.28265273.138252581825.93251385687
0.29265613.1713909851839.56420216562
0.3265951.4487831511833.90941279476
0.31266285.0486870261809.88215020168
0.32266611.440168361771.10358056848
0.33266928.7393893121722.24668815416
0.34267235.87233221668.95636529958
0.35267532.6416121451616.46509347425
0.36267819.7046982311570.36504184442
0.37268098.4794715541535.14751314954
0.38268370.9994589831514.10846436816
0.39268639.7441176091509.288863259
0.4268907.4684752991521.46016864985
0.41269177.0513270551550.97320843091
0.42269451.373032621596.41169141325
0.43269733.2245122871657.1003126814
0.44270025.2404355221732.0754846023
0.45270329.8438604181820.14121342309
0.46270649.1881018051919.97793951896
0.47270985.08476422029.62772305242
0.48271338.9138982012146.53253930897
0.49271711.5213308872266.54147120557
0.5272103.1169780942385.83182296003
0.51272513.1939545572499.11082427681
0.52272940.4897742162600.80741725073
0.53273383.0072350912686.01788114498
0.54273838.1044240042750.8613350623
0.55274302.6525547562792.53937725937
0.56274773.2496221912810.11171596852
0.57275246.4695672272804.51492609432
0.58275719.1224146562778.2559959929
0.59276188.5009534652735.46323146121
0.6276652.5929140532680.33116939374
0.61277110.2423116852619.69078929155
0.62277561.2476776562558.93897341046
0.63278006.3871652572504.12703598867
0.64278447.361382742460.92083999237
0.65278886.6462292242434.12025566454
0.66279327.252879962427.37054164316
0.67279772.4029705462441.65724476335
0.68280225.1447965292475.27780596373
0.69280687.9588973792523.28986904584
0.7281162.4234017392578.61211643792
0.71281649.0231801962631.6250646743
0.72282147.1838294722674.0806141493
0.73282655.5855134332698.877985654
0.74283172.7611579062703.98382501724
0.75283697.9135290972692.59802699301
0.76284231.8085789592674.11423234222
0.77284777.5363499752664.80524777012
0.78285340.897023312683.58726518286
0.79285930.1884783312748.47303407527
0.8286555.2565352952870.29984181652
0.81287225.8208679693046.58042865731
0.82287949.2911945843259.63817236886
0.83288728.5008065753478.64796159952
0.84289559.9485593793665.14933639327
0.85290433.1870547013780.44888505557
0.86291331.8666159763794.62504040536
0.87292236.6267460953694.17195993541
0.88293129.5736693753488.75350121742
0.89293999.6200947653211.68815797078
0.9294847.6364309352917.50779875332
0.91295690.2216405452673.81696477898
0.92296560.7848342162547.51022900213
0.93297506.2076906252586.24131480204
0.94298576.5730080122794.95068320444
0.95299805.3108855063109.00757068704
0.96301180.1364436523363.84804663664
0.97302613.7797141873301.28380089753
0.98303935.8707206152696.69259488251
0.99304933.4233504451639.34971601616

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 253537.866944032 & 860.386897903996 \tabularnewline
0.02 & 254020.250567343 & 1231.10456497964 \tabularnewline
0.03 & 254631.749006114 & 1445.01206094047 \tabularnewline
0.04 & 255280.052770896 & 1478.92177150657 \tabularnewline
0.05 & 255903.992260184 & 1430.0701227242 \tabularnewline
0.06 & 256479.366725974 & 1391.52183607874 \tabularnewline
0.07 & 257008.279913069 & 1403.01223768661 \tabularnewline
0.08 & 257504.995368258 & 1463.91510281857 \tabularnewline
0.09 & 257985.263712097 & 1557.76168686639 \tabularnewline
0.1 & 258460.67792556 & 1663.90611893706 \tabularnewline
0.11 & 258936.859920665 & 1761.44924603359 \tabularnewline
0.12 & 259413.827395913 & 1832.14336736636 \tabularnewline
0.13 & 259887.415620471 & 1863.07625545135 \tabularnewline
0.14 & 260351.147675083 & 1850.5239182234 \tabularnewline
0.15 & 260798.172744497 & 1799.1570474813 \tabularnewline
0.16 & 261222.947400175 & 1720.84669893889 \tabularnewline
0.17 & 261622.391263424 & 1631.65685242251 \tabularnewline
0.18 & 261996.371430108 & 1549.29004481077 \tabularnewline
0.19 & 262347.530192057 & 1487.80099755584 \tabularnewline
0.2 & 262680.608831535 & 1457.12004766626 \tabularnewline
0.21 & 263001.495719973 & 1459.34097286218 \tabularnewline
0.22 & 263316.231691558 & 1491.31665433906 \tabularnewline
0.23 & 263630.157158811 & 1545.12900122595 \tabularnewline
0.24 & 263947.311586406 & 1611.12166244617 \tabularnewline
0.25 & 264270.12230096 & 1679.97217583668 \tabularnewline
0.26 & 264599.362569891 & 1742.6830985406 \tabularnewline
0.27 & 264934.324454843 & 1793.1724030011 \tabularnewline
0.28 & 265273.13825258 & 1825.93251385687 \tabularnewline
0.29 & 265613.171390985 & 1839.56420216562 \tabularnewline
0.3 & 265951.448783151 & 1833.90941279476 \tabularnewline
0.31 & 266285.048687026 & 1809.88215020168 \tabularnewline
0.32 & 266611.44016836 & 1771.10358056848 \tabularnewline
0.33 & 266928.739389312 & 1722.24668815416 \tabularnewline
0.34 & 267235.8723322 & 1668.95636529958 \tabularnewline
0.35 & 267532.641612145 & 1616.46509347425 \tabularnewline
0.36 & 267819.704698231 & 1570.36504184442 \tabularnewline
0.37 & 268098.479471554 & 1535.14751314954 \tabularnewline
0.38 & 268370.999458983 & 1514.10846436816 \tabularnewline
0.39 & 268639.744117609 & 1509.288863259 \tabularnewline
0.4 & 268907.468475299 & 1521.46016864985 \tabularnewline
0.41 & 269177.051327055 & 1550.97320843091 \tabularnewline
0.42 & 269451.37303262 & 1596.41169141325 \tabularnewline
0.43 & 269733.224512287 & 1657.1003126814 \tabularnewline
0.44 & 270025.240435522 & 1732.0754846023 \tabularnewline
0.45 & 270329.843860418 & 1820.14121342309 \tabularnewline
0.46 & 270649.188101805 & 1919.97793951896 \tabularnewline
0.47 & 270985.0847642 & 2029.62772305242 \tabularnewline
0.48 & 271338.913898201 & 2146.53253930897 \tabularnewline
0.49 & 271711.521330887 & 2266.54147120557 \tabularnewline
0.5 & 272103.116978094 & 2385.83182296003 \tabularnewline
0.51 & 272513.193954557 & 2499.11082427681 \tabularnewline
0.52 & 272940.489774216 & 2600.80741725073 \tabularnewline
0.53 & 273383.007235091 & 2686.01788114498 \tabularnewline
0.54 & 273838.104424004 & 2750.8613350623 \tabularnewline
0.55 & 274302.652554756 & 2792.53937725937 \tabularnewline
0.56 & 274773.249622191 & 2810.11171596852 \tabularnewline
0.57 & 275246.469567227 & 2804.51492609432 \tabularnewline
0.58 & 275719.122414656 & 2778.2559959929 \tabularnewline
0.59 & 276188.500953465 & 2735.46323146121 \tabularnewline
0.6 & 276652.592914053 & 2680.33116939374 \tabularnewline
0.61 & 277110.242311685 & 2619.69078929155 \tabularnewline
0.62 & 277561.247677656 & 2558.93897341046 \tabularnewline
0.63 & 278006.387165257 & 2504.12703598867 \tabularnewline
0.64 & 278447.36138274 & 2460.92083999237 \tabularnewline
0.65 & 278886.646229224 & 2434.12025566454 \tabularnewline
0.66 & 279327.25287996 & 2427.37054164316 \tabularnewline
0.67 & 279772.402970546 & 2441.65724476335 \tabularnewline
0.68 & 280225.144796529 & 2475.27780596373 \tabularnewline
0.69 & 280687.958897379 & 2523.28986904584 \tabularnewline
0.7 & 281162.423401739 & 2578.61211643792 \tabularnewline
0.71 & 281649.023180196 & 2631.6250646743 \tabularnewline
0.72 & 282147.183829472 & 2674.0806141493 \tabularnewline
0.73 & 282655.585513433 & 2698.877985654 \tabularnewline
0.74 & 283172.761157906 & 2703.98382501724 \tabularnewline
0.75 & 283697.913529097 & 2692.59802699301 \tabularnewline
0.76 & 284231.808578959 & 2674.11423234222 \tabularnewline
0.77 & 284777.536349975 & 2664.80524777012 \tabularnewline
0.78 & 285340.89702331 & 2683.58726518286 \tabularnewline
0.79 & 285930.188478331 & 2748.47303407527 \tabularnewline
0.8 & 286555.256535295 & 2870.29984181652 \tabularnewline
0.81 & 287225.820867969 & 3046.58042865731 \tabularnewline
0.82 & 287949.291194584 & 3259.63817236886 \tabularnewline
0.83 & 288728.500806575 & 3478.64796159952 \tabularnewline
0.84 & 289559.948559379 & 3665.14933639327 \tabularnewline
0.85 & 290433.187054701 & 3780.44888505557 \tabularnewline
0.86 & 291331.866615976 & 3794.62504040536 \tabularnewline
0.87 & 292236.626746095 & 3694.17195993541 \tabularnewline
0.88 & 293129.573669375 & 3488.75350121742 \tabularnewline
0.89 & 293999.620094765 & 3211.68815797078 \tabularnewline
0.9 & 294847.636430935 & 2917.50779875332 \tabularnewline
0.91 & 295690.221640545 & 2673.81696477898 \tabularnewline
0.92 & 296560.784834216 & 2547.51022900213 \tabularnewline
0.93 & 297506.207690625 & 2586.24131480204 \tabularnewline
0.94 & 298576.573008012 & 2794.95068320444 \tabularnewline
0.95 & 299805.310885506 & 3109.00757068704 \tabularnewline
0.96 & 301180.136443652 & 3363.84804663664 \tabularnewline
0.97 & 302613.779714187 & 3301.28380089753 \tabularnewline
0.98 & 303935.870720615 & 2696.69259488251 \tabularnewline
0.99 & 304933.423350445 & 1639.34971601616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285412&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]253537.866944032[/C][C]860.386897903996[/C][/ROW]
[ROW][C]0.02[/C][C]254020.250567343[/C][C]1231.10456497964[/C][/ROW]
[ROW][C]0.03[/C][C]254631.749006114[/C][C]1445.01206094047[/C][/ROW]
[ROW][C]0.04[/C][C]255280.052770896[/C][C]1478.92177150657[/C][/ROW]
[ROW][C]0.05[/C][C]255903.992260184[/C][C]1430.0701227242[/C][/ROW]
[ROW][C]0.06[/C][C]256479.366725974[/C][C]1391.52183607874[/C][/ROW]
[ROW][C]0.07[/C][C]257008.279913069[/C][C]1403.01223768661[/C][/ROW]
[ROW][C]0.08[/C][C]257504.995368258[/C][C]1463.91510281857[/C][/ROW]
[ROW][C]0.09[/C][C]257985.263712097[/C][C]1557.76168686639[/C][/ROW]
[ROW][C]0.1[/C][C]258460.67792556[/C][C]1663.90611893706[/C][/ROW]
[ROW][C]0.11[/C][C]258936.859920665[/C][C]1761.44924603359[/C][/ROW]
[ROW][C]0.12[/C][C]259413.827395913[/C][C]1832.14336736636[/C][/ROW]
[ROW][C]0.13[/C][C]259887.415620471[/C][C]1863.07625545135[/C][/ROW]
[ROW][C]0.14[/C][C]260351.147675083[/C][C]1850.5239182234[/C][/ROW]
[ROW][C]0.15[/C][C]260798.172744497[/C][C]1799.1570474813[/C][/ROW]
[ROW][C]0.16[/C][C]261222.947400175[/C][C]1720.84669893889[/C][/ROW]
[ROW][C]0.17[/C][C]261622.391263424[/C][C]1631.65685242251[/C][/ROW]
[ROW][C]0.18[/C][C]261996.371430108[/C][C]1549.29004481077[/C][/ROW]
[ROW][C]0.19[/C][C]262347.530192057[/C][C]1487.80099755584[/C][/ROW]
[ROW][C]0.2[/C][C]262680.608831535[/C][C]1457.12004766626[/C][/ROW]
[ROW][C]0.21[/C][C]263001.495719973[/C][C]1459.34097286218[/C][/ROW]
[ROW][C]0.22[/C][C]263316.231691558[/C][C]1491.31665433906[/C][/ROW]
[ROW][C]0.23[/C][C]263630.157158811[/C][C]1545.12900122595[/C][/ROW]
[ROW][C]0.24[/C][C]263947.311586406[/C][C]1611.12166244617[/C][/ROW]
[ROW][C]0.25[/C][C]264270.12230096[/C][C]1679.97217583668[/C][/ROW]
[ROW][C]0.26[/C][C]264599.362569891[/C][C]1742.6830985406[/C][/ROW]
[ROW][C]0.27[/C][C]264934.324454843[/C][C]1793.1724030011[/C][/ROW]
[ROW][C]0.28[/C][C]265273.13825258[/C][C]1825.93251385687[/C][/ROW]
[ROW][C]0.29[/C][C]265613.171390985[/C][C]1839.56420216562[/C][/ROW]
[ROW][C]0.3[/C][C]265951.448783151[/C][C]1833.90941279476[/C][/ROW]
[ROW][C]0.31[/C][C]266285.048687026[/C][C]1809.88215020168[/C][/ROW]
[ROW][C]0.32[/C][C]266611.44016836[/C][C]1771.10358056848[/C][/ROW]
[ROW][C]0.33[/C][C]266928.739389312[/C][C]1722.24668815416[/C][/ROW]
[ROW][C]0.34[/C][C]267235.8723322[/C][C]1668.95636529958[/C][/ROW]
[ROW][C]0.35[/C][C]267532.641612145[/C][C]1616.46509347425[/C][/ROW]
[ROW][C]0.36[/C][C]267819.704698231[/C][C]1570.36504184442[/C][/ROW]
[ROW][C]0.37[/C][C]268098.479471554[/C][C]1535.14751314954[/C][/ROW]
[ROW][C]0.38[/C][C]268370.999458983[/C][C]1514.10846436816[/C][/ROW]
[ROW][C]0.39[/C][C]268639.744117609[/C][C]1509.288863259[/C][/ROW]
[ROW][C]0.4[/C][C]268907.468475299[/C][C]1521.46016864985[/C][/ROW]
[ROW][C]0.41[/C][C]269177.051327055[/C][C]1550.97320843091[/C][/ROW]
[ROW][C]0.42[/C][C]269451.37303262[/C][C]1596.41169141325[/C][/ROW]
[ROW][C]0.43[/C][C]269733.224512287[/C][C]1657.1003126814[/C][/ROW]
[ROW][C]0.44[/C][C]270025.240435522[/C][C]1732.0754846023[/C][/ROW]
[ROW][C]0.45[/C][C]270329.843860418[/C][C]1820.14121342309[/C][/ROW]
[ROW][C]0.46[/C][C]270649.188101805[/C][C]1919.97793951896[/C][/ROW]
[ROW][C]0.47[/C][C]270985.0847642[/C][C]2029.62772305242[/C][/ROW]
[ROW][C]0.48[/C][C]271338.913898201[/C][C]2146.53253930897[/C][/ROW]
[ROW][C]0.49[/C][C]271711.521330887[/C][C]2266.54147120557[/C][/ROW]
[ROW][C]0.5[/C][C]272103.116978094[/C][C]2385.83182296003[/C][/ROW]
[ROW][C]0.51[/C][C]272513.193954557[/C][C]2499.11082427681[/C][/ROW]
[ROW][C]0.52[/C][C]272940.489774216[/C][C]2600.80741725073[/C][/ROW]
[ROW][C]0.53[/C][C]273383.007235091[/C][C]2686.01788114498[/C][/ROW]
[ROW][C]0.54[/C][C]273838.104424004[/C][C]2750.8613350623[/C][/ROW]
[ROW][C]0.55[/C][C]274302.652554756[/C][C]2792.53937725937[/C][/ROW]
[ROW][C]0.56[/C][C]274773.249622191[/C][C]2810.11171596852[/C][/ROW]
[ROW][C]0.57[/C][C]275246.469567227[/C][C]2804.51492609432[/C][/ROW]
[ROW][C]0.58[/C][C]275719.122414656[/C][C]2778.2559959929[/C][/ROW]
[ROW][C]0.59[/C][C]276188.500953465[/C][C]2735.46323146121[/C][/ROW]
[ROW][C]0.6[/C][C]276652.592914053[/C][C]2680.33116939374[/C][/ROW]
[ROW][C]0.61[/C][C]277110.242311685[/C][C]2619.69078929155[/C][/ROW]
[ROW][C]0.62[/C][C]277561.247677656[/C][C]2558.93897341046[/C][/ROW]
[ROW][C]0.63[/C][C]278006.387165257[/C][C]2504.12703598867[/C][/ROW]
[ROW][C]0.64[/C][C]278447.36138274[/C][C]2460.92083999237[/C][/ROW]
[ROW][C]0.65[/C][C]278886.646229224[/C][C]2434.12025566454[/C][/ROW]
[ROW][C]0.66[/C][C]279327.25287996[/C][C]2427.37054164316[/C][/ROW]
[ROW][C]0.67[/C][C]279772.402970546[/C][C]2441.65724476335[/C][/ROW]
[ROW][C]0.68[/C][C]280225.144796529[/C][C]2475.27780596373[/C][/ROW]
[ROW][C]0.69[/C][C]280687.958897379[/C][C]2523.28986904584[/C][/ROW]
[ROW][C]0.7[/C][C]281162.423401739[/C][C]2578.61211643792[/C][/ROW]
[ROW][C]0.71[/C][C]281649.023180196[/C][C]2631.6250646743[/C][/ROW]
[ROW][C]0.72[/C][C]282147.183829472[/C][C]2674.0806141493[/C][/ROW]
[ROW][C]0.73[/C][C]282655.585513433[/C][C]2698.877985654[/C][/ROW]
[ROW][C]0.74[/C][C]283172.761157906[/C][C]2703.98382501724[/C][/ROW]
[ROW][C]0.75[/C][C]283697.913529097[/C][C]2692.59802699301[/C][/ROW]
[ROW][C]0.76[/C][C]284231.808578959[/C][C]2674.11423234222[/C][/ROW]
[ROW][C]0.77[/C][C]284777.536349975[/C][C]2664.80524777012[/C][/ROW]
[ROW][C]0.78[/C][C]285340.89702331[/C][C]2683.58726518286[/C][/ROW]
[ROW][C]0.79[/C][C]285930.188478331[/C][C]2748.47303407527[/C][/ROW]
[ROW][C]0.8[/C][C]286555.256535295[/C][C]2870.29984181652[/C][/ROW]
[ROW][C]0.81[/C][C]287225.820867969[/C][C]3046.58042865731[/C][/ROW]
[ROW][C]0.82[/C][C]287949.291194584[/C][C]3259.63817236886[/C][/ROW]
[ROW][C]0.83[/C][C]288728.500806575[/C][C]3478.64796159952[/C][/ROW]
[ROW][C]0.84[/C][C]289559.948559379[/C][C]3665.14933639327[/C][/ROW]
[ROW][C]0.85[/C][C]290433.187054701[/C][C]3780.44888505557[/C][/ROW]
[ROW][C]0.86[/C][C]291331.866615976[/C][C]3794.62504040536[/C][/ROW]
[ROW][C]0.87[/C][C]292236.626746095[/C][C]3694.17195993541[/C][/ROW]
[ROW][C]0.88[/C][C]293129.573669375[/C][C]3488.75350121742[/C][/ROW]
[ROW][C]0.89[/C][C]293999.620094765[/C][C]3211.68815797078[/C][/ROW]
[ROW][C]0.9[/C][C]294847.636430935[/C][C]2917.50779875332[/C][/ROW]
[ROW][C]0.91[/C][C]295690.221640545[/C][C]2673.81696477898[/C][/ROW]
[ROW][C]0.92[/C][C]296560.784834216[/C][C]2547.51022900213[/C][/ROW]
[ROW][C]0.93[/C][C]297506.207690625[/C][C]2586.24131480204[/C][/ROW]
[ROW][C]0.94[/C][C]298576.573008012[/C][C]2794.95068320444[/C][/ROW]
[ROW][C]0.95[/C][C]299805.310885506[/C][C]3109.00757068704[/C][/ROW]
[ROW][C]0.96[/C][C]301180.136443652[/C][C]3363.84804663664[/C][/ROW]
[ROW][C]0.97[/C][C]302613.779714187[/C][C]3301.28380089753[/C][/ROW]
[ROW][C]0.98[/C][C]303935.870720615[/C][C]2696.69259488251[/C][/ROW]
[ROW][C]0.99[/C][C]304933.423350445[/C][C]1639.34971601616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285412&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285412&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
0.01253537.866944032860.386897903996
0.02254020.2505673431231.10456497964
0.03254631.7490061141445.01206094047
0.04255280.0527708961478.92177150657
0.05255903.9922601841430.0701227242
0.06256479.3667259741391.52183607874
0.07257008.2799130691403.01223768661
0.08257504.9953682581463.91510281857
0.09257985.2637120971557.76168686639
0.1258460.677925561663.90611893706
0.11258936.8599206651761.44924603359
0.12259413.8273959131832.14336736636
0.13259887.4156204711863.07625545135
0.14260351.1476750831850.5239182234
0.15260798.1727444971799.1570474813
0.16261222.9474001751720.84669893889
0.17261622.3912634241631.65685242251
0.18261996.3714301081549.29004481077
0.19262347.5301920571487.80099755584
0.2262680.6088315351457.12004766626
0.21263001.4957199731459.34097286218
0.22263316.2316915581491.31665433906
0.23263630.1571588111545.12900122595
0.24263947.3115864061611.12166244617
0.25264270.122300961679.97217583668
0.26264599.3625698911742.6830985406
0.27264934.3244548431793.1724030011
0.28265273.138252581825.93251385687
0.29265613.1713909851839.56420216562
0.3265951.4487831511833.90941279476
0.31266285.0486870261809.88215020168
0.32266611.440168361771.10358056848
0.33266928.7393893121722.24668815416
0.34267235.87233221668.95636529958
0.35267532.6416121451616.46509347425
0.36267819.7046982311570.36504184442
0.37268098.4794715541535.14751314954
0.38268370.9994589831514.10846436816
0.39268639.7441176091509.288863259
0.4268907.4684752991521.46016864985
0.41269177.0513270551550.97320843091
0.42269451.373032621596.41169141325
0.43269733.2245122871657.1003126814
0.44270025.2404355221732.0754846023
0.45270329.8438604181820.14121342309
0.46270649.1881018051919.97793951896
0.47270985.08476422029.62772305242
0.48271338.9138982012146.53253930897
0.49271711.5213308872266.54147120557
0.5272103.1169780942385.83182296003
0.51272513.1939545572499.11082427681
0.52272940.4897742162600.80741725073
0.53273383.0072350912686.01788114498
0.54273838.1044240042750.8613350623
0.55274302.6525547562792.53937725937
0.56274773.2496221912810.11171596852
0.57275246.4695672272804.51492609432
0.58275719.1224146562778.2559959929
0.59276188.5009534652735.46323146121
0.6276652.5929140532680.33116939374
0.61277110.2423116852619.69078929155
0.62277561.2476776562558.93897341046
0.63278006.3871652572504.12703598867
0.64278447.361382742460.92083999237
0.65278886.6462292242434.12025566454
0.66279327.252879962427.37054164316
0.67279772.4029705462441.65724476335
0.68280225.1447965292475.27780596373
0.69280687.9588973792523.28986904584
0.7281162.4234017392578.61211643792
0.71281649.0231801962631.6250646743
0.72282147.1838294722674.0806141493
0.73282655.5855134332698.877985654
0.74283172.7611579062703.98382501724
0.75283697.9135290972692.59802699301
0.76284231.8085789592674.11423234222
0.77284777.5363499752664.80524777012
0.78285340.897023312683.58726518286
0.79285930.1884783312748.47303407527
0.8286555.2565352952870.29984181652
0.81287225.8208679693046.58042865731
0.82287949.2911945843259.63817236886
0.83288728.5008065753478.64796159952
0.84289559.9485593793665.14933639327
0.85290433.1870547013780.44888505557
0.86291331.8666159763794.62504040536
0.87292236.6267460953694.17195993541
0.88293129.5736693753488.75350121742
0.89293999.6200947653211.68815797078
0.9294847.6364309352917.50779875332
0.91295690.2216405452673.81696477898
0.92296560.7848342162547.51022900213
0.93297506.2076906252586.24131480204
0.94298576.5730080122794.95068320444
0.95299805.3108855063109.00757068704
0.96301180.1364436523363.84804663664
0.97302613.7797141873301.28380089753
0.98303935.8707206152696.69259488251
0.99304933.4233504451639.34971601616


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')