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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Oct 2012 16:04:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/08/t1349726692i7e4ls388jl2wwu.htm/, Retrieved Thu, 02 May 2024 11:15:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174246, Retrieved Thu, 02 May 2024 11:15:27 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-08 20:04:28] [0dfc9291120e0017631158d00b067a5a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2048
2037
2149
2124
2205
2489
2573
2702
2718
2646
2712
2634
2614
2637
2649
2579
2505
2462
2467
2447
2656
2626
2483
2540
2503
2467
2513
2443
2293
2071
2030
2052
1864
1670
1811
1905
1863
2014
2198
2962
3047
3033
3504
3801
3858
3674
3721
3844
4117
4105
4435
4296
4203
4563
4621
4697
4591
4357
4503
4444
4291
4200
4139
3970
3862
3702
3570
3801
3896
3918
3813
3667

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=174246&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=174246&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174246&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
0.011709.86902270112115.235347907744
0.021764.5859922350886.1861436805406
0.031814.6292715119367.6086705200227
0.041854.8446340162363.6273577648009
0.051888.0910307170768.0723328479075
0.061917.8698229965272.9640980240707
0.071945.7623255648974.0813618147086
0.081971.8358276752471.045578151799
0.091995.7238237305665.8864369930362
0.12017.3614269940961.4921701823979
0.112037.2095836038860.2899665339428
0.122056.1318095369963.3723893450232
0.132075.138243724370.4108977648411
0.142095.1484065860280.2998896368379
0.152116.8382445963891.7924437147338
0.162140.57450286552103.688442301473
0.172166.41154196421114.893687235655
0.182194.12373902622124.401156059075
0.192223.25623750951131.340462933956
0.22253.18679081175135.046875794704
0.212283.19641437339135.154019007033
0.222312.54616919725131.657178713589
0.232340.55413019545124.93333405809
0.242366.66357880037115.687668583545
0.252390.49292179266104.851432433576
0.262411.8603836968393.4469230411484
0.272430.7812666424782.455476089162
0.282447.4408337921672.7018019462391
0.292462.1499985359364.7618526237154
0.32475.2929956767658.9514666937954
0.312487.2759478812355.2806605224674
0.322498.4832988338453.5079101522259
0.332509.2463654290653.2217698320903
0.342519.825605773853.9523026133405
0.352530.4061439678255.253075454327
0.362541.1048091633156.77997314421
0.372551.9863286468458.3092718845026
0.382563.0861234296259.7646758298536
0.392574.4371519778161.2395042269074
0.42586.0982748779662.983591816745
0.412598.1816100381165.4279795727294
0.422610.8763296979569.1500248491355
0.432624.4663717477774.8141808180589
0.442639.3396635463883.1227840076499
0.452655.9867473933894.6736282753556
0.462674.98720685374109.913310943159
0.472696.98306793429129.038226794743
0.482722.63941773008151.983620384782
0.492752.59383834753178.368308818452
0.52787.39782506846207.478994148936
0.512827.45498706165238.285365418998
0.522872.96226488472269.436186858416
0.532923.86131915461299.376849738067
0.542979.80731395791326.425838421908
0.553040.16127611567348.937177563761
0.563104.00996842425365.454195254366
0.573170.21393270324374.864538758544
0.583237.48047526185376.535559968946
0.593304.45455047303370.387962326564
0.63369.81751581746356.912807996897
0.613432.38226878405337.113642570665
0.623491.17374007899312.41026038096
0.633545.48609765307284.468042506991
0.643594.91184591475255.037582804417
0.653639.3424565544225.77664370056
0.663678.94425982147198.145073274178
0.673714.11618574736173.296596232827
0.683745.43705263536152.075085256412
0.693773.60942835041135.00713488574
0.73799.40510492877122.337471269701
0.713823.61474094647114.058284384557
0.723847.002144408109.905514331475
0.733870.26270409197109.362295535878
0.743893.98591014086111.675135800471
0.753918.62346680851115.931497885368
0.763944.46642613883121.124667947374
0.773971.6360288418126.284496987827
0.784000.0925929769130.561279570457
0.794029.66439716443133.343921608782
0.84060.09438107347134.315818038037
0.814091.09772841325133.50260460541
0.824122.41957996105131.230283056529
0.834153.88075891446128.025410992915
0.844185.40136356295124.477723794822
0.854216.9972830464121.069695090799
0.864248.75194424691118.068644326068
0.874280.77280545217115.444960778667
0.884313.14654016161112.943582473349
0.894345.90576365371110.185060374138
0.94379.01237116313106.815496724538
0.914412.3512015728102.615550011841
0.924445.7226806579597.4560667996043
0.934478.8391895450491.1463909007343
0.944511.3754043021483.3604484359317
0.954543.1712524868573.9578238239222
0.964574.6268442874563.8386857593769
0.974606.9425194632556.0678865448183
0.984641.082142582655.7939640150685
0.994674.3086821548764.7356540587072

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1709.86902270112 & 115.235347907744 \tabularnewline
0.02 & 1764.58599223508 & 86.1861436805406 \tabularnewline
0.03 & 1814.62927151193 & 67.6086705200227 \tabularnewline
0.04 & 1854.84463401623 & 63.6273577648009 \tabularnewline
0.05 & 1888.09103071707 & 68.0723328479075 \tabularnewline
0.06 & 1917.86982299652 & 72.9640980240707 \tabularnewline
0.07 & 1945.76232556489 & 74.0813618147086 \tabularnewline
0.08 & 1971.83582767524 & 71.045578151799 \tabularnewline
0.09 & 1995.72382373056 & 65.8864369930362 \tabularnewline
0.1 & 2017.36142699409 & 61.4921701823979 \tabularnewline
0.11 & 2037.20958360388 & 60.2899665339428 \tabularnewline
0.12 & 2056.13180953699 & 63.3723893450232 \tabularnewline
0.13 & 2075.1382437243 & 70.4108977648411 \tabularnewline
0.14 & 2095.14840658602 & 80.2998896368379 \tabularnewline
0.15 & 2116.83824459638 & 91.7924437147338 \tabularnewline
0.16 & 2140.57450286552 & 103.688442301473 \tabularnewline
0.17 & 2166.41154196421 & 114.893687235655 \tabularnewline
0.18 & 2194.12373902622 & 124.401156059075 \tabularnewline
0.19 & 2223.25623750951 & 131.340462933956 \tabularnewline
0.2 & 2253.18679081175 & 135.046875794704 \tabularnewline
0.21 & 2283.19641437339 & 135.154019007033 \tabularnewline
0.22 & 2312.54616919725 & 131.657178713589 \tabularnewline
0.23 & 2340.55413019545 & 124.93333405809 \tabularnewline
0.24 & 2366.66357880037 & 115.687668583545 \tabularnewline
0.25 & 2390.49292179266 & 104.851432433576 \tabularnewline
0.26 & 2411.86038369683 & 93.4469230411484 \tabularnewline
0.27 & 2430.78126664247 & 82.455476089162 \tabularnewline
0.28 & 2447.44083379216 & 72.7018019462391 \tabularnewline
0.29 & 2462.14999853593 & 64.7618526237154 \tabularnewline
0.3 & 2475.29299567676 & 58.9514666937954 \tabularnewline
0.31 & 2487.27594788123 & 55.2806605224674 \tabularnewline
0.32 & 2498.48329883384 & 53.5079101522259 \tabularnewline
0.33 & 2509.24636542906 & 53.2217698320903 \tabularnewline
0.34 & 2519.8256057738 & 53.9523026133405 \tabularnewline
0.35 & 2530.40614396782 & 55.253075454327 \tabularnewline
0.36 & 2541.10480916331 & 56.77997314421 \tabularnewline
0.37 & 2551.98632864684 & 58.3092718845026 \tabularnewline
0.38 & 2563.08612342962 & 59.7646758298536 \tabularnewline
0.39 & 2574.43715197781 & 61.2395042269074 \tabularnewline
0.4 & 2586.09827487796 & 62.983591816745 \tabularnewline
0.41 & 2598.18161003811 & 65.4279795727294 \tabularnewline
0.42 & 2610.87632969795 & 69.1500248491355 \tabularnewline
0.43 & 2624.46637174777 & 74.8141808180589 \tabularnewline
0.44 & 2639.33966354638 & 83.1227840076499 \tabularnewline
0.45 & 2655.98674739338 & 94.6736282753556 \tabularnewline
0.46 & 2674.98720685374 & 109.913310943159 \tabularnewline
0.47 & 2696.98306793429 & 129.038226794743 \tabularnewline
0.48 & 2722.63941773008 & 151.983620384782 \tabularnewline
0.49 & 2752.59383834753 & 178.368308818452 \tabularnewline
0.5 & 2787.39782506846 & 207.478994148936 \tabularnewline
0.51 & 2827.45498706165 & 238.285365418998 \tabularnewline
0.52 & 2872.96226488472 & 269.436186858416 \tabularnewline
0.53 & 2923.86131915461 & 299.376849738067 \tabularnewline
0.54 & 2979.80731395791 & 326.425838421908 \tabularnewline
0.55 & 3040.16127611567 & 348.937177563761 \tabularnewline
0.56 & 3104.00996842425 & 365.454195254366 \tabularnewline
0.57 & 3170.21393270324 & 374.864538758544 \tabularnewline
0.58 & 3237.48047526185 & 376.535559968946 \tabularnewline
0.59 & 3304.45455047303 & 370.387962326564 \tabularnewline
0.6 & 3369.81751581746 & 356.912807996897 \tabularnewline
0.61 & 3432.38226878405 & 337.113642570665 \tabularnewline
0.62 & 3491.17374007899 & 312.41026038096 \tabularnewline
0.63 & 3545.48609765307 & 284.468042506991 \tabularnewline
0.64 & 3594.91184591475 & 255.037582804417 \tabularnewline
0.65 & 3639.3424565544 & 225.77664370056 \tabularnewline
0.66 & 3678.94425982147 & 198.145073274178 \tabularnewline
0.67 & 3714.11618574736 & 173.296596232827 \tabularnewline
0.68 & 3745.43705263536 & 152.075085256412 \tabularnewline
0.69 & 3773.60942835041 & 135.00713488574 \tabularnewline
0.7 & 3799.40510492877 & 122.337471269701 \tabularnewline
0.71 & 3823.61474094647 & 114.058284384557 \tabularnewline
0.72 & 3847.002144408 & 109.905514331475 \tabularnewline
0.73 & 3870.26270409197 & 109.362295535878 \tabularnewline
0.74 & 3893.98591014086 & 111.675135800471 \tabularnewline
0.75 & 3918.62346680851 & 115.931497885368 \tabularnewline
0.76 & 3944.46642613883 & 121.124667947374 \tabularnewline
0.77 & 3971.6360288418 & 126.284496987827 \tabularnewline
0.78 & 4000.0925929769 & 130.561279570457 \tabularnewline
0.79 & 4029.66439716443 & 133.343921608782 \tabularnewline
0.8 & 4060.09438107347 & 134.315818038037 \tabularnewline
0.81 & 4091.09772841325 & 133.50260460541 \tabularnewline
0.82 & 4122.41957996105 & 131.230283056529 \tabularnewline
0.83 & 4153.88075891446 & 128.025410992915 \tabularnewline
0.84 & 4185.40136356295 & 124.477723794822 \tabularnewline
0.85 & 4216.9972830464 & 121.069695090799 \tabularnewline
0.86 & 4248.75194424691 & 118.068644326068 \tabularnewline
0.87 & 4280.77280545217 & 115.444960778667 \tabularnewline
0.88 & 4313.14654016161 & 112.943582473349 \tabularnewline
0.89 & 4345.90576365371 & 110.185060374138 \tabularnewline
0.9 & 4379.01237116313 & 106.815496724538 \tabularnewline
0.91 & 4412.3512015728 & 102.615550011841 \tabularnewline
0.92 & 4445.72268065795 & 97.4560667996043 \tabularnewline
0.93 & 4478.83918954504 & 91.1463909007343 \tabularnewline
0.94 & 4511.37540430214 & 83.3604484359317 \tabularnewline
0.95 & 4543.17125248685 & 73.9578238239222 \tabularnewline
0.96 & 4574.62684428745 & 63.8386857593769 \tabularnewline
0.97 & 4606.94251946325 & 56.0678865448183 \tabularnewline
0.98 & 4641.0821425826 & 55.7939640150685 \tabularnewline
0.99 & 4674.30868215487 & 64.7356540587072 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174246&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]1709.86902270112[/C][C]115.235347907744[/C][/ROW]
[ROW][C]0.02[/C][C]1764.58599223508[/C][C]86.1861436805406[/C][/ROW]
[ROW][C]0.03[/C][C]1814.62927151193[/C][C]67.6086705200227[/C][/ROW]
[ROW][C]0.04[/C][C]1854.84463401623[/C][C]63.6273577648009[/C][/ROW]
[ROW][C]0.05[/C][C]1888.09103071707[/C][C]68.0723328479075[/C][/ROW]
[ROW][C]0.06[/C][C]1917.86982299652[/C][C]72.9640980240707[/C][/ROW]
[ROW][C]0.07[/C][C]1945.76232556489[/C][C]74.0813618147086[/C][/ROW]
[ROW][C]0.08[/C][C]1971.83582767524[/C][C]71.045578151799[/C][/ROW]
[ROW][C]0.09[/C][C]1995.72382373056[/C][C]65.8864369930362[/C][/ROW]
[ROW][C]0.1[/C][C]2017.36142699409[/C][C]61.4921701823979[/C][/ROW]
[ROW][C]0.11[/C][C]2037.20958360388[/C][C]60.2899665339428[/C][/ROW]
[ROW][C]0.12[/C][C]2056.13180953699[/C][C]63.3723893450232[/C][/ROW]
[ROW][C]0.13[/C][C]2075.1382437243[/C][C]70.4108977648411[/C][/ROW]
[ROW][C]0.14[/C][C]2095.14840658602[/C][C]80.2998896368379[/C][/ROW]
[ROW][C]0.15[/C][C]2116.83824459638[/C][C]91.7924437147338[/C][/ROW]
[ROW][C]0.16[/C][C]2140.57450286552[/C][C]103.688442301473[/C][/ROW]
[ROW][C]0.17[/C][C]2166.41154196421[/C][C]114.893687235655[/C][/ROW]
[ROW][C]0.18[/C][C]2194.12373902622[/C][C]124.401156059075[/C][/ROW]
[ROW][C]0.19[/C][C]2223.25623750951[/C][C]131.340462933956[/C][/ROW]
[ROW][C]0.2[/C][C]2253.18679081175[/C][C]135.046875794704[/C][/ROW]
[ROW][C]0.21[/C][C]2283.19641437339[/C][C]135.154019007033[/C][/ROW]
[ROW][C]0.22[/C][C]2312.54616919725[/C][C]131.657178713589[/C][/ROW]
[ROW][C]0.23[/C][C]2340.55413019545[/C][C]124.93333405809[/C][/ROW]
[ROW][C]0.24[/C][C]2366.66357880037[/C][C]115.687668583545[/C][/ROW]
[ROW][C]0.25[/C][C]2390.49292179266[/C][C]104.851432433576[/C][/ROW]
[ROW][C]0.26[/C][C]2411.86038369683[/C][C]93.4469230411484[/C][/ROW]
[ROW][C]0.27[/C][C]2430.78126664247[/C][C]82.455476089162[/C][/ROW]
[ROW][C]0.28[/C][C]2447.44083379216[/C][C]72.7018019462391[/C][/ROW]
[ROW][C]0.29[/C][C]2462.14999853593[/C][C]64.7618526237154[/C][/ROW]
[ROW][C]0.3[/C][C]2475.29299567676[/C][C]58.9514666937954[/C][/ROW]
[ROW][C]0.31[/C][C]2487.27594788123[/C][C]55.2806605224674[/C][/ROW]
[ROW][C]0.32[/C][C]2498.48329883384[/C][C]53.5079101522259[/C][/ROW]
[ROW][C]0.33[/C][C]2509.24636542906[/C][C]53.2217698320903[/C][/ROW]
[ROW][C]0.34[/C][C]2519.8256057738[/C][C]53.9523026133405[/C][/ROW]
[ROW][C]0.35[/C][C]2530.40614396782[/C][C]55.253075454327[/C][/ROW]
[ROW][C]0.36[/C][C]2541.10480916331[/C][C]56.77997314421[/C][/ROW]
[ROW][C]0.37[/C][C]2551.98632864684[/C][C]58.3092718845026[/C][/ROW]
[ROW][C]0.38[/C][C]2563.08612342962[/C][C]59.7646758298536[/C][/ROW]
[ROW][C]0.39[/C][C]2574.43715197781[/C][C]61.2395042269074[/C][/ROW]
[ROW][C]0.4[/C][C]2586.09827487796[/C][C]62.983591816745[/C][/ROW]
[ROW][C]0.41[/C][C]2598.18161003811[/C][C]65.4279795727294[/C][/ROW]
[ROW][C]0.42[/C][C]2610.87632969795[/C][C]69.1500248491355[/C][/ROW]
[ROW][C]0.43[/C][C]2624.46637174777[/C][C]74.8141808180589[/C][/ROW]
[ROW][C]0.44[/C][C]2639.33966354638[/C][C]83.1227840076499[/C][/ROW]
[ROW][C]0.45[/C][C]2655.98674739338[/C][C]94.6736282753556[/C][/ROW]
[ROW][C]0.46[/C][C]2674.98720685374[/C][C]109.913310943159[/C][/ROW]
[ROW][C]0.47[/C][C]2696.98306793429[/C][C]129.038226794743[/C][/ROW]
[ROW][C]0.48[/C][C]2722.63941773008[/C][C]151.983620384782[/C][/ROW]
[ROW][C]0.49[/C][C]2752.59383834753[/C][C]178.368308818452[/C][/ROW]
[ROW][C]0.5[/C][C]2787.39782506846[/C][C]207.478994148936[/C][/ROW]
[ROW][C]0.51[/C][C]2827.45498706165[/C][C]238.285365418998[/C][/ROW]
[ROW][C]0.52[/C][C]2872.96226488472[/C][C]269.436186858416[/C][/ROW]
[ROW][C]0.53[/C][C]2923.86131915461[/C][C]299.376849738067[/C][/ROW]
[ROW][C]0.54[/C][C]2979.80731395791[/C][C]326.425838421908[/C][/ROW]
[ROW][C]0.55[/C][C]3040.16127611567[/C][C]348.937177563761[/C][/ROW]
[ROW][C]0.56[/C][C]3104.00996842425[/C][C]365.454195254366[/C][/ROW]
[ROW][C]0.57[/C][C]3170.21393270324[/C][C]374.864538758544[/C][/ROW]
[ROW][C]0.58[/C][C]3237.48047526185[/C][C]376.535559968946[/C][/ROW]
[ROW][C]0.59[/C][C]3304.45455047303[/C][C]370.387962326564[/C][/ROW]
[ROW][C]0.6[/C][C]3369.81751581746[/C][C]356.912807996897[/C][/ROW]
[ROW][C]0.61[/C][C]3432.38226878405[/C][C]337.113642570665[/C][/ROW]
[ROW][C]0.62[/C][C]3491.17374007899[/C][C]312.41026038096[/C][/ROW]
[ROW][C]0.63[/C][C]3545.48609765307[/C][C]284.468042506991[/C][/ROW]
[ROW][C]0.64[/C][C]3594.91184591475[/C][C]255.037582804417[/C][/ROW]
[ROW][C]0.65[/C][C]3639.3424565544[/C][C]225.77664370056[/C][/ROW]
[ROW][C]0.66[/C][C]3678.94425982147[/C][C]198.145073274178[/C][/ROW]
[ROW][C]0.67[/C][C]3714.11618574736[/C][C]173.296596232827[/C][/ROW]
[ROW][C]0.68[/C][C]3745.43705263536[/C][C]152.075085256412[/C][/ROW]
[ROW][C]0.69[/C][C]3773.60942835041[/C][C]135.00713488574[/C][/ROW]
[ROW][C]0.7[/C][C]3799.40510492877[/C][C]122.337471269701[/C][/ROW]
[ROW][C]0.71[/C][C]3823.61474094647[/C][C]114.058284384557[/C][/ROW]
[ROW][C]0.72[/C][C]3847.002144408[/C][C]109.905514331475[/C][/ROW]
[ROW][C]0.73[/C][C]3870.26270409197[/C][C]109.362295535878[/C][/ROW]
[ROW][C]0.74[/C][C]3893.98591014086[/C][C]111.675135800471[/C][/ROW]
[ROW][C]0.75[/C][C]3918.62346680851[/C][C]115.931497885368[/C][/ROW]
[ROW][C]0.76[/C][C]3944.46642613883[/C][C]121.124667947374[/C][/ROW]
[ROW][C]0.77[/C][C]3971.6360288418[/C][C]126.284496987827[/C][/ROW]
[ROW][C]0.78[/C][C]4000.0925929769[/C][C]130.561279570457[/C][/ROW]
[ROW][C]0.79[/C][C]4029.66439716443[/C][C]133.343921608782[/C][/ROW]
[ROW][C]0.8[/C][C]4060.09438107347[/C][C]134.315818038037[/C][/ROW]
[ROW][C]0.81[/C][C]4091.09772841325[/C][C]133.50260460541[/C][/ROW]
[ROW][C]0.82[/C][C]4122.41957996105[/C][C]131.230283056529[/C][/ROW]
[ROW][C]0.83[/C][C]4153.88075891446[/C][C]128.025410992915[/C][/ROW]
[ROW][C]0.84[/C][C]4185.40136356295[/C][C]124.477723794822[/C][/ROW]
[ROW][C]0.85[/C][C]4216.9972830464[/C][C]121.069695090799[/C][/ROW]
[ROW][C]0.86[/C][C]4248.75194424691[/C][C]118.068644326068[/C][/ROW]
[ROW][C]0.87[/C][C]4280.77280545217[/C][C]115.444960778667[/C][/ROW]
[ROW][C]0.88[/C][C]4313.14654016161[/C][C]112.943582473349[/C][/ROW]
[ROW][C]0.89[/C][C]4345.90576365371[/C][C]110.185060374138[/C][/ROW]
[ROW][C]0.9[/C][C]4379.01237116313[/C][C]106.815496724538[/C][/ROW]
[ROW][C]0.91[/C][C]4412.3512015728[/C][C]102.615550011841[/C][/ROW]
[ROW][C]0.92[/C][C]4445.72268065795[/C][C]97.4560667996043[/C][/ROW]
[ROW][C]0.93[/C][C]4478.83918954504[/C][C]91.1463909007343[/C][/ROW]
[ROW][C]0.94[/C][C]4511.37540430214[/C][C]83.3604484359317[/C][/ROW]
[ROW][C]0.95[/C][C]4543.17125248685[/C][C]73.9578238239222[/C][/ROW]
[ROW][C]0.96[/C][C]4574.62684428745[/C][C]63.8386857593769[/C][/ROW]
[ROW][C]0.97[/C][C]4606.94251946325[/C][C]56.0678865448183[/C][/ROW]
[ROW][C]0.98[/C][C]4641.0821425826[/C][C]55.7939640150685[/C][/ROW]
[ROW][C]0.99[/C][C]4674.30868215487[/C][C]64.7356540587072[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174246&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174246&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
0.011709.86902270112115.235347907744
0.021764.5859922350886.1861436805406
0.031814.6292715119367.6086705200227
0.041854.8446340162363.6273577648009
0.051888.0910307170768.0723328479075
0.061917.8698229965272.9640980240707
0.071945.7623255648974.0813618147086
0.081971.8358276752471.045578151799
0.091995.7238237305665.8864369930362
0.12017.3614269940961.4921701823979
0.112037.2095836038860.2899665339428
0.122056.1318095369963.3723893450232
0.132075.138243724370.4108977648411
0.142095.1484065860280.2998896368379
0.152116.8382445963891.7924437147338
0.162140.57450286552103.688442301473
0.172166.41154196421114.893687235655
0.182194.12373902622124.401156059075
0.192223.25623750951131.340462933956
0.22253.18679081175135.046875794704
0.212283.19641437339135.154019007033
0.222312.54616919725131.657178713589
0.232340.55413019545124.93333405809
0.242366.66357880037115.687668583545
0.252390.49292179266104.851432433576
0.262411.8603836968393.4469230411484
0.272430.7812666424782.455476089162
0.282447.4408337921672.7018019462391
0.292462.1499985359364.7618526237154
0.32475.2929956767658.9514666937954
0.312487.2759478812355.2806605224674
0.322498.4832988338453.5079101522259
0.332509.2463654290653.2217698320903
0.342519.825605773853.9523026133405
0.352530.4061439678255.253075454327
0.362541.1048091633156.77997314421
0.372551.9863286468458.3092718845026
0.382563.0861234296259.7646758298536
0.392574.4371519778161.2395042269074
0.42586.0982748779662.983591816745
0.412598.1816100381165.4279795727294
0.422610.8763296979569.1500248491355
0.432624.4663717477774.8141808180589
0.442639.3396635463883.1227840076499
0.452655.9867473933894.6736282753556
0.462674.98720685374109.913310943159
0.472696.98306793429129.038226794743
0.482722.63941773008151.983620384782
0.492752.59383834753178.368308818452
0.52787.39782506846207.478994148936
0.512827.45498706165238.285365418998
0.522872.96226488472269.436186858416
0.532923.86131915461299.376849738067
0.542979.80731395791326.425838421908
0.553040.16127611567348.937177563761
0.563104.00996842425365.454195254366
0.573170.21393270324374.864538758544
0.583237.48047526185376.535559968946
0.593304.45455047303370.387962326564
0.63369.81751581746356.912807996897
0.613432.38226878405337.113642570665
0.623491.17374007899312.41026038096
0.633545.48609765307284.468042506991
0.643594.91184591475255.037582804417
0.653639.3424565544225.77664370056
0.663678.94425982147198.145073274178
0.673714.11618574736173.296596232827
0.683745.43705263536152.075085256412
0.693773.60942835041135.00713488574
0.73799.40510492877122.337471269701
0.713823.61474094647114.058284384557
0.723847.002144408109.905514331475
0.733870.26270409197109.362295535878
0.743893.98591014086111.675135800471
0.753918.62346680851115.931497885368
0.763944.46642613883121.124667947374
0.773971.6360288418126.284496987827
0.784000.0925929769130.561279570457
0.794029.66439716443133.343921608782
0.84060.09438107347134.315818038037
0.814091.09772841325133.50260460541
0.824122.41957996105131.230283056529
0.834153.88075891446128.025410992915
0.844185.40136356295124.477723794822
0.854216.9972830464121.069695090799
0.864248.75194424691118.068644326068
0.874280.77280545217115.444960778667
0.884313.14654016161112.943582473349
0.894345.90576365371110.185060374138
0.94379.01237116313106.815496724538
0.914412.3512015728102.615550011841
0.924445.7226806579597.4560667996043
0.934478.8391895450491.1463909007343
0.944511.3754043021483.3604484359317
0.954543.1712524868573.9578238239222
0.964574.6268442874563.8386857593769
0.974606.9425194632556.0678865448183
0.984641.082142582655.7939640150685
0.994674.3086821548764.7356540587072


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')