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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Feb 2015 19:31:09 +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/Feb/12/t1423769518x13a256783flex7.htm/, Retrieved Sat, 18 May 2024 01:36:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277283, Retrieved Sat, 18 May 2024 01:36:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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] [] [2015-02-12 19:31:09] [fd1a5f0fdfa1bb1257f3e725ec184603] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12849
11380
12079
11366
11328
10444
10854
10434
10137
10992
10906
12367
14371
11695
11546
10922
10670
10254
10573
10239
10253
11176
10719
11817
12487
11519
12025
10976
11276
10657
11141
10423
10640
11426
10948
12540
12200
10644
12044
11338
11292
10612
10995
10686
10635
11285
11475
12535
12490
12511
12799
11876
11602
11062
11055
10855
10704
11510
11663
12686
13516
12539
13811
12354
11441
10814
11261
10788
10326
11490
11029
11876

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277283&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277283&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110164.406832104280.0977069112023
0.0210201.676599879757.9715297600867
0.0310236.660516979850.9214426542346
0.0410267.702482427660.4530267041186
0.0510297.906809032175.803818794155
0.0610329.700109877289.42815733783
0.0710363.480595979498.7070054726144
0.0810398.3834048287103.77414751275
0.0910433.2303085504105.636043532312
0.110467.0133650803104.970301722527
0.1110498.9907181893101.893639044304
0.1210528.637118953696.4692737352599
0.1310555.607623706589.0965746504993
0.1410579.751764667280.685642095461
0.1510601.145214430372.4629949438925
0.1610620.09581150765.6772706062784
0.1710637.104291970161.2911893170655
0.1810652.787530966159.7854835779494
0.1910667.787069615461.0493637181011
0.210682.686144422564.5706254341012
0.2110697.950227942169.5752334910052
0.2210713.896141521875.3102233297749
0.2310730.687361378681.1009001136261
0.2410748.349337525486.4238726766881
0.2510766.79770686590.8711508021821
0.2610785.872916396894.2409132410378
0.2710805.375991702196.4923316808009
0.2810825.101497999297.6680630323546
0.2910844.864991625197.9612130988907
0.310864.52340812297.6696976660459
0.3110883.98782500597.0750979255484
0.3210903.228796256796.5077614047214
0.3310922.274936007196.2543433444518
0.3410941.205662110296.6245075918759
0.3510960.13910432697.7416771732942
0.3610979.216273989299.7455825933003
0.3710998.5827834505102.580485949122
0.3811018.3697083607106.131163710524
0.3911038.6755191983110.110779935987
0.411059.5512171607114.196960843848
0.4111080.9907320057117.996407294092
0.4211102.9281715191121.160211038865
0.4311125.2426557218123.355282744513
0.4411147.7703457884124.377568220283
0.4511170.3221060667124.127297082006
0.4611192.7042762626122.660722983704
0.4711214.739508875120.136842704368
0.4811236.2846798709116.822463124927
0.4911257.2435112785113.076019407964
0.511277.5726198054109.203183903682
0.5111297.2809896602105.55448491105
0.5211316.4240799924102.370695861937
0.5311335.094660599999.8356833183281
0.5411353.412848407898.0336573591217
0.5511371.517633568497.0177093380134
0.5611389.561503390496.7932537236189
0.5711407.708763067697.3768567352316
0.5811426.13704580498.8528655124029
0.5911445.0405472176101.313157021695
0.611464.6329221827104.869536519444
0.6111485.1476857542109.66612394587
0.6211506.8344027514115.789026338239
0.6311529.9498614124123.262766030813
0.6411554.7446297361131.963444781019
0.6511581.4466345264141.705704495846
0.6611610.2443922081152.140486819577
0.6711641.2729854655162.897162266873
0.6811674.6056281621173.57459399287
0.6911710.2526353779183.78958925235
0.711748.1679332195193.252291794741
0.7111788.2612092415201.735897656751
0.7211830.4118862637209.196561361292
0.7311874.4798595625215.600670324729
0.7411920.3079036515221.013026904933
0.7511967.7121833775225.380604321255
0.7612016.4604048087228.53740597016
0.7712066.2413629244230.154040479791
0.7812116.6340644621229.691993793177
0.7912167.0879899378226.537495432625
0.812216.9271783434220.103280147252
0.8112265.3888494467210.035548317538
0.8212311.7021434826196.347227979205
0.8312355.205036527179.589469989267
0.8412395.4890951091160.917512471083
0.8512432.5545420212142.066161980834
0.8612466.9548386113125.278941391507
0.8712499.9142403283113.246737953347
0.8812533.4171084461108.809539563275
0.8912570.2930565432114.392760689419
0.912614.3417381655131.437694247423
0.9112670.5168744544161.073448737977
0.9212745.0750394617205.049610981786
0.9312845.4063431864264.726236355419
0.9412979.1833066556337.138096609102
0.9513152.7962679277410.440492634377
0.9613369.6541474611464.707707101307
0.9713628.2299166862485.051692298939
0.9813915.6367411605485.49830403105
0.9914190.4946296598508.382768871083

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10164.4068321042 & 80.0977069112023 \tabularnewline
0.02 & 10201.6765998797 & 57.9715297600867 \tabularnewline
0.03 & 10236.6605169798 & 50.9214426542346 \tabularnewline
0.04 & 10267.7024824276 & 60.4530267041186 \tabularnewline
0.05 & 10297.9068090321 & 75.803818794155 \tabularnewline
0.06 & 10329.7001098772 & 89.42815733783 \tabularnewline
0.07 & 10363.4805959794 & 98.7070054726144 \tabularnewline
0.08 & 10398.3834048287 & 103.77414751275 \tabularnewline
0.09 & 10433.2303085504 & 105.636043532312 \tabularnewline
0.1 & 10467.0133650803 & 104.970301722527 \tabularnewline
0.11 & 10498.9907181893 & 101.893639044304 \tabularnewline
0.12 & 10528.6371189536 & 96.4692737352599 \tabularnewline
0.13 & 10555.6076237065 & 89.0965746504993 \tabularnewline
0.14 & 10579.7517646672 & 80.685642095461 \tabularnewline
0.15 & 10601.1452144303 & 72.4629949438925 \tabularnewline
0.16 & 10620.095811507 & 65.6772706062784 \tabularnewline
0.17 & 10637.1042919701 & 61.2911893170655 \tabularnewline
0.18 & 10652.7875309661 & 59.7854835779494 \tabularnewline
0.19 & 10667.7870696154 & 61.0493637181011 \tabularnewline
0.2 & 10682.6861444225 & 64.5706254341012 \tabularnewline
0.21 & 10697.9502279421 & 69.5752334910052 \tabularnewline
0.22 & 10713.8961415218 & 75.3102233297749 \tabularnewline
0.23 & 10730.6873613786 & 81.1009001136261 \tabularnewline
0.24 & 10748.3493375254 & 86.4238726766881 \tabularnewline
0.25 & 10766.797706865 & 90.8711508021821 \tabularnewline
0.26 & 10785.8729163968 & 94.2409132410378 \tabularnewline
0.27 & 10805.3759917021 & 96.4923316808009 \tabularnewline
0.28 & 10825.1014979992 & 97.6680630323546 \tabularnewline
0.29 & 10844.8649916251 & 97.9612130988907 \tabularnewline
0.3 & 10864.523408122 & 97.6696976660459 \tabularnewline
0.31 & 10883.987825005 & 97.0750979255484 \tabularnewline
0.32 & 10903.2287962567 & 96.5077614047214 \tabularnewline
0.33 & 10922.2749360071 & 96.2543433444518 \tabularnewline
0.34 & 10941.2056621102 & 96.6245075918759 \tabularnewline
0.35 & 10960.139104326 & 97.7416771732942 \tabularnewline
0.36 & 10979.2162739892 & 99.7455825933003 \tabularnewline
0.37 & 10998.5827834505 & 102.580485949122 \tabularnewline
0.38 & 11018.3697083607 & 106.131163710524 \tabularnewline
0.39 & 11038.6755191983 & 110.110779935987 \tabularnewline
0.4 & 11059.5512171607 & 114.196960843848 \tabularnewline
0.41 & 11080.9907320057 & 117.996407294092 \tabularnewline
0.42 & 11102.9281715191 & 121.160211038865 \tabularnewline
0.43 & 11125.2426557218 & 123.355282744513 \tabularnewline
0.44 & 11147.7703457884 & 124.377568220283 \tabularnewline
0.45 & 11170.3221060667 & 124.127297082006 \tabularnewline
0.46 & 11192.7042762626 & 122.660722983704 \tabularnewline
0.47 & 11214.739508875 & 120.136842704368 \tabularnewline
0.48 & 11236.2846798709 & 116.822463124927 \tabularnewline
0.49 & 11257.2435112785 & 113.076019407964 \tabularnewline
0.5 & 11277.5726198054 & 109.203183903682 \tabularnewline
0.51 & 11297.2809896602 & 105.55448491105 \tabularnewline
0.52 & 11316.4240799924 & 102.370695861937 \tabularnewline
0.53 & 11335.0946605999 & 99.8356833183281 \tabularnewline
0.54 & 11353.4128484078 & 98.0336573591217 \tabularnewline
0.55 & 11371.5176335684 & 97.0177093380134 \tabularnewline
0.56 & 11389.5615033904 & 96.7932537236189 \tabularnewline
0.57 & 11407.7087630676 & 97.3768567352316 \tabularnewline
0.58 & 11426.137045804 & 98.8528655124029 \tabularnewline
0.59 & 11445.0405472176 & 101.313157021695 \tabularnewline
0.6 & 11464.6329221827 & 104.869536519444 \tabularnewline
0.61 & 11485.1476857542 & 109.66612394587 \tabularnewline
0.62 & 11506.8344027514 & 115.789026338239 \tabularnewline
0.63 & 11529.9498614124 & 123.262766030813 \tabularnewline
0.64 & 11554.7446297361 & 131.963444781019 \tabularnewline
0.65 & 11581.4466345264 & 141.705704495846 \tabularnewline
0.66 & 11610.2443922081 & 152.140486819577 \tabularnewline
0.67 & 11641.2729854655 & 162.897162266873 \tabularnewline
0.68 & 11674.6056281621 & 173.57459399287 \tabularnewline
0.69 & 11710.2526353779 & 183.78958925235 \tabularnewline
0.7 & 11748.1679332195 & 193.252291794741 \tabularnewline
0.71 & 11788.2612092415 & 201.735897656751 \tabularnewline
0.72 & 11830.4118862637 & 209.196561361292 \tabularnewline
0.73 & 11874.4798595625 & 215.600670324729 \tabularnewline
0.74 & 11920.3079036515 & 221.013026904933 \tabularnewline
0.75 & 11967.7121833775 & 225.380604321255 \tabularnewline
0.76 & 12016.4604048087 & 228.53740597016 \tabularnewline
0.77 & 12066.2413629244 & 230.154040479791 \tabularnewline
0.78 & 12116.6340644621 & 229.691993793177 \tabularnewline
0.79 & 12167.0879899378 & 226.537495432625 \tabularnewline
0.8 & 12216.9271783434 & 220.103280147252 \tabularnewline
0.81 & 12265.3888494467 & 210.035548317538 \tabularnewline
0.82 & 12311.7021434826 & 196.347227979205 \tabularnewline
0.83 & 12355.205036527 & 179.589469989267 \tabularnewline
0.84 & 12395.4890951091 & 160.917512471083 \tabularnewline
0.85 & 12432.5545420212 & 142.066161980834 \tabularnewline
0.86 & 12466.9548386113 & 125.278941391507 \tabularnewline
0.87 & 12499.9142403283 & 113.246737953347 \tabularnewline
0.88 & 12533.4171084461 & 108.809539563275 \tabularnewline
0.89 & 12570.2930565432 & 114.392760689419 \tabularnewline
0.9 & 12614.3417381655 & 131.437694247423 \tabularnewline
0.91 & 12670.5168744544 & 161.073448737977 \tabularnewline
0.92 & 12745.0750394617 & 205.049610981786 \tabularnewline
0.93 & 12845.4063431864 & 264.726236355419 \tabularnewline
0.94 & 12979.1833066556 & 337.138096609102 \tabularnewline
0.95 & 13152.7962679277 & 410.440492634377 \tabularnewline
0.96 & 13369.6541474611 & 464.707707101307 \tabularnewline
0.97 & 13628.2299166862 & 485.051692298939 \tabularnewline
0.98 & 13915.6367411605 & 485.49830403105 \tabularnewline
0.99 & 14190.4946296598 & 508.382768871083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277283&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]10164.4068321042[/C][C]80.0977069112023[/C][/ROW]
[ROW][C]0.02[/C][C]10201.6765998797[/C][C]57.9715297600867[/C][/ROW]
[ROW][C]0.03[/C][C]10236.6605169798[/C][C]50.9214426542346[/C][/ROW]
[ROW][C]0.04[/C][C]10267.7024824276[/C][C]60.4530267041186[/C][/ROW]
[ROW][C]0.05[/C][C]10297.9068090321[/C][C]75.803818794155[/C][/ROW]
[ROW][C]0.06[/C][C]10329.7001098772[/C][C]89.42815733783[/C][/ROW]
[ROW][C]0.07[/C][C]10363.4805959794[/C][C]98.7070054726144[/C][/ROW]
[ROW][C]0.08[/C][C]10398.3834048287[/C][C]103.77414751275[/C][/ROW]
[ROW][C]0.09[/C][C]10433.2303085504[/C][C]105.636043532312[/C][/ROW]
[ROW][C]0.1[/C][C]10467.0133650803[/C][C]104.970301722527[/C][/ROW]
[ROW][C]0.11[/C][C]10498.9907181893[/C][C]101.893639044304[/C][/ROW]
[ROW][C]0.12[/C][C]10528.6371189536[/C][C]96.4692737352599[/C][/ROW]
[ROW][C]0.13[/C][C]10555.6076237065[/C][C]89.0965746504993[/C][/ROW]
[ROW][C]0.14[/C][C]10579.7517646672[/C][C]80.685642095461[/C][/ROW]
[ROW][C]0.15[/C][C]10601.1452144303[/C][C]72.4629949438925[/C][/ROW]
[ROW][C]0.16[/C][C]10620.095811507[/C][C]65.6772706062784[/C][/ROW]
[ROW][C]0.17[/C][C]10637.1042919701[/C][C]61.2911893170655[/C][/ROW]
[ROW][C]0.18[/C][C]10652.7875309661[/C][C]59.7854835779494[/C][/ROW]
[ROW][C]0.19[/C][C]10667.7870696154[/C][C]61.0493637181011[/C][/ROW]
[ROW][C]0.2[/C][C]10682.6861444225[/C][C]64.5706254341012[/C][/ROW]
[ROW][C]0.21[/C][C]10697.9502279421[/C][C]69.5752334910052[/C][/ROW]
[ROW][C]0.22[/C][C]10713.8961415218[/C][C]75.3102233297749[/C][/ROW]
[ROW][C]0.23[/C][C]10730.6873613786[/C][C]81.1009001136261[/C][/ROW]
[ROW][C]0.24[/C][C]10748.3493375254[/C][C]86.4238726766881[/C][/ROW]
[ROW][C]0.25[/C][C]10766.797706865[/C][C]90.8711508021821[/C][/ROW]
[ROW][C]0.26[/C][C]10785.8729163968[/C][C]94.2409132410378[/C][/ROW]
[ROW][C]0.27[/C][C]10805.3759917021[/C][C]96.4923316808009[/C][/ROW]
[ROW][C]0.28[/C][C]10825.1014979992[/C][C]97.6680630323546[/C][/ROW]
[ROW][C]0.29[/C][C]10844.8649916251[/C][C]97.9612130988907[/C][/ROW]
[ROW][C]0.3[/C][C]10864.523408122[/C][C]97.6696976660459[/C][/ROW]
[ROW][C]0.31[/C][C]10883.987825005[/C][C]97.0750979255484[/C][/ROW]
[ROW][C]0.32[/C][C]10903.2287962567[/C][C]96.5077614047214[/C][/ROW]
[ROW][C]0.33[/C][C]10922.2749360071[/C][C]96.2543433444518[/C][/ROW]
[ROW][C]0.34[/C][C]10941.2056621102[/C][C]96.6245075918759[/C][/ROW]
[ROW][C]0.35[/C][C]10960.139104326[/C][C]97.7416771732942[/C][/ROW]
[ROW][C]0.36[/C][C]10979.2162739892[/C][C]99.7455825933003[/C][/ROW]
[ROW][C]0.37[/C][C]10998.5827834505[/C][C]102.580485949122[/C][/ROW]
[ROW][C]0.38[/C][C]11018.3697083607[/C][C]106.131163710524[/C][/ROW]
[ROW][C]0.39[/C][C]11038.6755191983[/C][C]110.110779935987[/C][/ROW]
[ROW][C]0.4[/C][C]11059.5512171607[/C][C]114.196960843848[/C][/ROW]
[ROW][C]0.41[/C][C]11080.9907320057[/C][C]117.996407294092[/C][/ROW]
[ROW][C]0.42[/C][C]11102.9281715191[/C][C]121.160211038865[/C][/ROW]
[ROW][C]0.43[/C][C]11125.2426557218[/C][C]123.355282744513[/C][/ROW]
[ROW][C]0.44[/C][C]11147.7703457884[/C][C]124.377568220283[/C][/ROW]
[ROW][C]0.45[/C][C]11170.3221060667[/C][C]124.127297082006[/C][/ROW]
[ROW][C]0.46[/C][C]11192.7042762626[/C][C]122.660722983704[/C][/ROW]
[ROW][C]0.47[/C][C]11214.739508875[/C][C]120.136842704368[/C][/ROW]
[ROW][C]0.48[/C][C]11236.2846798709[/C][C]116.822463124927[/C][/ROW]
[ROW][C]0.49[/C][C]11257.2435112785[/C][C]113.076019407964[/C][/ROW]
[ROW][C]0.5[/C][C]11277.5726198054[/C][C]109.203183903682[/C][/ROW]
[ROW][C]0.51[/C][C]11297.2809896602[/C][C]105.55448491105[/C][/ROW]
[ROW][C]0.52[/C][C]11316.4240799924[/C][C]102.370695861937[/C][/ROW]
[ROW][C]0.53[/C][C]11335.0946605999[/C][C]99.8356833183281[/C][/ROW]
[ROW][C]0.54[/C][C]11353.4128484078[/C][C]98.0336573591217[/C][/ROW]
[ROW][C]0.55[/C][C]11371.5176335684[/C][C]97.0177093380134[/C][/ROW]
[ROW][C]0.56[/C][C]11389.5615033904[/C][C]96.7932537236189[/C][/ROW]
[ROW][C]0.57[/C][C]11407.7087630676[/C][C]97.3768567352316[/C][/ROW]
[ROW][C]0.58[/C][C]11426.137045804[/C][C]98.8528655124029[/C][/ROW]
[ROW][C]0.59[/C][C]11445.0405472176[/C][C]101.313157021695[/C][/ROW]
[ROW][C]0.6[/C][C]11464.6329221827[/C][C]104.869536519444[/C][/ROW]
[ROW][C]0.61[/C][C]11485.1476857542[/C][C]109.66612394587[/C][/ROW]
[ROW][C]0.62[/C][C]11506.8344027514[/C][C]115.789026338239[/C][/ROW]
[ROW][C]0.63[/C][C]11529.9498614124[/C][C]123.262766030813[/C][/ROW]
[ROW][C]0.64[/C][C]11554.7446297361[/C][C]131.963444781019[/C][/ROW]
[ROW][C]0.65[/C][C]11581.4466345264[/C][C]141.705704495846[/C][/ROW]
[ROW][C]0.66[/C][C]11610.2443922081[/C][C]152.140486819577[/C][/ROW]
[ROW][C]0.67[/C][C]11641.2729854655[/C][C]162.897162266873[/C][/ROW]
[ROW][C]0.68[/C][C]11674.6056281621[/C][C]173.57459399287[/C][/ROW]
[ROW][C]0.69[/C][C]11710.2526353779[/C][C]183.78958925235[/C][/ROW]
[ROW][C]0.7[/C][C]11748.1679332195[/C][C]193.252291794741[/C][/ROW]
[ROW][C]0.71[/C][C]11788.2612092415[/C][C]201.735897656751[/C][/ROW]
[ROW][C]0.72[/C][C]11830.4118862637[/C][C]209.196561361292[/C][/ROW]
[ROW][C]0.73[/C][C]11874.4798595625[/C][C]215.600670324729[/C][/ROW]
[ROW][C]0.74[/C][C]11920.3079036515[/C][C]221.013026904933[/C][/ROW]
[ROW][C]0.75[/C][C]11967.7121833775[/C][C]225.380604321255[/C][/ROW]
[ROW][C]0.76[/C][C]12016.4604048087[/C][C]228.53740597016[/C][/ROW]
[ROW][C]0.77[/C][C]12066.2413629244[/C][C]230.154040479791[/C][/ROW]
[ROW][C]0.78[/C][C]12116.6340644621[/C][C]229.691993793177[/C][/ROW]
[ROW][C]0.79[/C][C]12167.0879899378[/C][C]226.537495432625[/C][/ROW]
[ROW][C]0.8[/C][C]12216.9271783434[/C][C]220.103280147252[/C][/ROW]
[ROW][C]0.81[/C][C]12265.3888494467[/C][C]210.035548317538[/C][/ROW]
[ROW][C]0.82[/C][C]12311.7021434826[/C][C]196.347227979205[/C][/ROW]
[ROW][C]0.83[/C][C]12355.205036527[/C][C]179.589469989267[/C][/ROW]
[ROW][C]0.84[/C][C]12395.4890951091[/C][C]160.917512471083[/C][/ROW]
[ROW][C]0.85[/C][C]12432.5545420212[/C][C]142.066161980834[/C][/ROW]
[ROW][C]0.86[/C][C]12466.9548386113[/C][C]125.278941391507[/C][/ROW]
[ROW][C]0.87[/C][C]12499.9142403283[/C][C]113.246737953347[/C][/ROW]
[ROW][C]0.88[/C][C]12533.4171084461[/C][C]108.809539563275[/C][/ROW]
[ROW][C]0.89[/C][C]12570.2930565432[/C][C]114.392760689419[/C][/ROW]
[ROW][C]0.9[/C][C]12614.3417381655[/C][C]131.437694247423[/C][/ROW]
[ROW][C]0.91[/C][C]12670.5168744544[/C][C]161.073448737977[/C][/ROW]
[ROW][C]0.92[/C][C]12745.0750394617[/C][C]205.049610981786[/C][/ROW]
[ROW][C]0.93[/C][C]12845.4063431864[/C][C]264.726236355419[/C][/ROW]
[ROW][C]0.94[/C][C]12979.1833066556[/C][C]337.138096609102[/C][/ROW]
[ROW][C]0.95[/C][C]13152.7962679277[/C][C]410.440492634377[/C][/ROW]
[ROW][C]0.96[/C][C]13369.6541474611[/C][C]464.707707101307[/C][/ROW]
[ROW][C]0.97[/C][C]13628.2299166862[/C][C]485.051692298939[/C][/ROW]
[ROW][C]0.98[/C][C]13915.6367411605[/C][C]485.49830403105[/C][/ROW]
[ROW][C]0.99[/C][C]14190.4946296598[/C][C]508.382768871083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277283&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
0.0110164.406832104280.0977069112023
0.0210201.676599879757.9715297600867
0.0310236.660516979850.9214426542346
0.0410267.702482427660.4530267041186
0.0510297.906809032175.803818794155
0.0610329.700109877289.42815733783
0.0710363.480595979498.7070054726144
0.0810398.3834048287103.77414751275
0.0910433.2303085504105.636043532312
0.110467.0133650803104.970301722527
0.1110498.9907181893101.893639044304
0.1210528.637118953696.4692737352599
0.1310555.607623706589.0965746504993
0.1410579.751764667280.685642095461
0.1510601.145214430372.4629949438925
0.1610620.09581150765.6772706062784
0.1710637.104291970161.2911893170655
0.1810652.787530966159.7854835779494
0.1910667.787069615461.0493637181011
0.210682.686144422564.5706254341012
0.2110697.950227942169.5752334910052
0.2210713.896141521875.3102233297749
0.2310730.687361378681.1009001136261
0.2410748.349337525486.4238726766881
0.2510766.79770686590.8711508021821
0.2610785.872916396894.2409132410378
0.2710805.375991702196.4923316808009
0.2810825.101497999297.6680630323546
0.2910844.864991625197.9612130988907
0.310864.52340812297.6696976660459
0.3110883.98782500597.0750979255484
0.3210903.228796256796.5077614047214
0.3310922.274936007196.2543433444518
0.3410941.205662110296.6245075918759
0.3510960.13910432697.7416771732942
0.3610979.216273989299.7455825933003
0.3710998.5827834505102.580485949122
0.3811018.3697083607106.131163710524
0.3911038.6755191983110.110779935987
0.411059.5512171607114.196960843848
0.4111080.9907320057117.996407294092
0.4211102.9281715191121.160211038865
0.4311125.2426557218123.355282744513
0.4411147.7703457884124.377568220283
0.4511170.3221060667124.127297082006
0.4611192.7042762626122.660722983704
0.4711214.739508875120.136842704368
0.4811236.2846798709116.822463124927
0.4911257.2435112785113.076019407964
0.511277.5726198054109.203183903682
0.5111297.2809896602105.55448491105
0.5211316.4240799924102.370695861937
0.5311335.094660599999.8356833183281
0.5411353.412848407898.0336573591217
0.5511371.517633568497.0177093380134
0.5611389.561503390496.7932537236189
0.5711407.708763067697.3768567352316
0.5811426.13704580498.8528655124029
0.5911445.0405472176101.313157021695
0.611464.6329221827104.869536519444
0.6111485.1476857542109.66612394587
0.6211506.8344027514115.789026338239
0.6311529.9498614124123.262766030813
0.6411554.7446297361131.963444781019
0.6511581.4466345264141.705704495846
0.6611610.2443922081152.140486819577
0.6711641.2729854655162.897162266873
0.6811674.6056281621173.57459399287
0.6911710.2526353779183.78958925235
0.711748.1679332195193.252291794741
0.7111788.2612092415201.735897656751
0.7211830.4118862637209.196561361292
0.7311874.4798595625215.600670324729
0.7411920.3079036515221.013026904933
0.7511967.7121833775225.380604321255
0.7612016.4604048087228.53740597016
0.7712066.2413629244230.154040479791
0.7812116.6340644621229.691993793177
0.7912167.0879899378226.537495432625
0.812216.9271783434220.103280147252
0.8112265.3888494467210.035548317538
0.8212311.7021434826196.347227979205
0.8312355.205036527179.589469989267
0.8412395.4890951091160.917512471083
0.8512432.5545420212142.066161980834
0.8612466.9548386113125.278941391507
0.8712499.9142403283113.246737953347
0.8812533.4171084461108.809539563275
0.8912570.2930565432114.392760689419
0.912614.3417381655131.437694247423
0.9112670.5168744544161.073448737977
0.9212745.0750394617205.049610981786
0.9312845.4063431864264.726236355419
0.9412979.1833066556337.138096609102
0.9513152.7962679277410.440492634377
0.9613369.6541474611464.707707101307
0.9713628.2299166862485.051692298939
0.9813915.6367411605485.49830403105
0.9914190.4946296598508.382768871083


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')