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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 Feb 2013 07:45:29 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t13618827364ajk4wv2gwc94j3.htm/, Retrieved Sun, 05 May 2024 07:07:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207018, Retrieved Sun, 05 May 2024 07:07:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

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] [] [2013-02-26 12:45:29] [e610340e7a3184c9e0a1f377a12e8a83] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2277
1849
1800
2082
2144
1775
1936
2230
1813
2076
1736
1786
1660
1419
1506
1316
1622
2311
3570
3326
3259
2930
2135
2044
1863
1836
2098
2184
2366
2077
2524
1829
1960
2237
1756
1795
2081
1854
2138
2476
2155
2292
2628
2076
2799
2196
2443
2565
2063
2070
2539
1898
2139
2408
2725
2201
2311
2548
2276
2351
2280
2057
2471
2379
2295
2456
2546
2844
2260
2981
2678
3440

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207018&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207018&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207018&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011351.99604522988100.289159123993
0.021409.09285342738105.227870506825
0.031471.77829551577111.852929137492
0.041531.35558153406112.945289867856
0.051584.5269641514107.287581290818
0.061630.3144471004697.1060904266497
0.071668.6911565712284.9388679698615
0.081700.176147772172.5652302474362
0.091725.6314696760161.1021144790714
0.11746.0852411552751.2860868594886
0.111762.5949595120643.5778186845569
0.121776.158104877238.1693106494685
0.131787.6599655257334.9911181791232
0.141797.8498671820233.7944337840126
0.151807.3403789316534.2745060633973
0.161816.6230318889736.1774650097972
0.171826.0916294406439.332900480869
0.181836.0638203509843.6198230396451
0.191846.7940039329948.8961418611402
0.21858.4747597687954.9351628963947
0.211871.2283373825661.3886723029516
0.221885.0930894945867.8046831389005
0.231900.0113592718173.658371562515
0.241915.8250208166878.4198714389178
0.251932.2828870505681.6303886799159
0.261949.0611843317882.9728566583211
0.271965.7950883655382.3121267889004
0.281982.116728239779.7246578788667
0.291997.6936662868475.4818354584232
0.32012.2618686486970.0032356858688
0.312025.6484495565563.8115921155876
0.322037.7815802052757.4565214128189
0.332048.6873479784551.4471992297564
0.342058.4755021536846.2250393763333
0.352067.3175364495942.0959349266947
0.362075.4212458453239.2103009737989
0.372083.0057649448837.5736685944263
0.382090.2803137579737.0459088872546
0.392097.4286991538337.3991139183708
0.42104.6003231824738.3821357856831
0.412111.9072779116439.7703917723073
0.422119.4262390503441.3755326078717
0.432127.2034033444943.0708146137926
0.442135.2606591895844.7679161017401
0.452143.6014739008246.4037098344748
0.462152.2155086848947.9383973203371
0.472161.0815910500649.3302090757522
0.482170.1692448563150.5247010691679
0.492179.4393909333351.480200257651
0.52188.8450242025452.1362311983338
0.512198.3326374729152.453081896542
0.522207.8449346750352.4048387748289
0.532217.3250254004751.9952802155321
0.542226.7218992156451.2637910549287
0.552235.9966199922950.2891632548589
0.562245.1284204788849.1873569258393
0.572254.1197577767848.1154326550245
0.582262.9994303523647.2353961169362
0.592271.8230523686646.7157939990858
0.62280.6705048291546.7068612920003
0.612289.6403892066847.3004053991095
0.622298.8419376710748.5389063217624
0.632308.385218559250.3882424182375
0.642318.3707544566852.7466685990695
0.652328.8797960776455.4493321004694
0.662339.9664444878258.3152893786023
0.672351.6525926494761.1375542520596
0.682363.9263011056363.7239711967378
0.692376.7437965477665.9139845395769
0.72390.0348713500467.576941757049
0.712403.7111575593168.651315835529
0.722417.6766212867469.1189431390654
0.732431.8396914169769.033011337002
0.742446.1266352049168.4945307584305
0.752460.4959651290367.6716626195172
0.762474.953590579566.7884183464353
0.772489.5679310362466.1390968300804
0.782504.4832631909366.0680018393659
0.792519.928441360366.971290210938
0.82536.2173728531769.2362814666924
0.812553.7379891735373.1510528492482
0.822572.9285620509478.8090109919601
0.832594.244233752186.0571799612558
0.842618.1219677220894.5111179388949
0.852644.95729674454103.655792174095
0.862675.10888820549112.998074124461
0.872708.94384361248122.259794466973
0.882746.92397937578131.551911386241
0.892789.7081443667141.487423110138
0.92838.21028710964153.029786297985
0.912893.52305077682166.923548571853
0.922956.62684145217182.627680418281
0.933027.8981681881197.298414620853
0.943106.61804190254205.882262254762
0.953190.86229238502203.139750949423
0.963278.05900845972187.141880511628
0.973365.74248788076162.113802600981
0.983450.65995816429138.238597446944
0.993524.40202507454126.916230806371

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1351.99604522988 & 100.289159123993 \tabularnewline
0.02 & 1409.09285342738 & 105.227870506825 \tabularnewline
0.03 & 1471.77829551577 & 111.852929137492 \tabularnewline
0.04 & 1531.35558153406 & 112.945289867856 \tabularnewline
0.05 & 1584.5269641514 & 107.287581290818 \tabularnewline
0.06 & 1630.31444710046 & 97.1060904266497 \tabularnewline
0.07 & 1668.69115657122 & 84.9388679698615 \tabularnewline
0.08 & 1700.1761477721 & 72.5652302474362 \tabularnewline
0.09 & 1725.63146967601 & 61.1021144790714 \tabularnewline
0.1 & 1746.08524115527 & 51.2860868594886 \tabularnewline
0.11 & 1762.59495951206 & 43.5778186845569 \tabularnewline
0.12 & 1776.1581048772 & 38.1693106494685 \tabularnewline
0.13 & 1787.65996552573 & 34.9911181791232 \tabularnewline
0.14 & 1797.84986718202 & 33.7944337840126 \tabularnewline
0.15 & 1807.34037893165 & 34.2745060633973 \tabularnewline
0.16 & 1816.62303188897 & 36.1774650097972 \tabularnewline
0.17 & 1826.09162944064 & 39.332900480869 \tabularnewline
0.18 & 1836.06382035098 & 43.6198230396451 \tabularnewline
0.19 & 1846.79400393299 & 48.8961418611402 \tabularnewline
0.2 & 1858.47475976879 & 54.9351628963947 \tabularnewline
0.21 & 1871.22833738256 & 61.3886723029516 \tabularnewline
0.22 & 1885.09308949458 & 67.8046831389005 \tabularnewline
0.23 & 1900.01135927181 & 73.658371562515 \tabularnewline
0.24 & 1915.82502081668 & 78.4198714389178 \tabularnewline
0.25 & 1932.28288705056 & 81.6303886799159 \tabularnewline
0.26 & 1949.06118433178 & 82.9728566583211 \tabularnewline
0.27 & 1965.79508836553 & 82.3121267889004 \tabularnewline
0.28 & 1982.1167282397 & 79.7246578788667 \tabularnewline
0.29 & 1997.69366628684 & 75.4818354584232 \tabularnewline
0.3 & 2012.26186864869 & 70.0032356858688 \tabularnewline
0.31 & 2025.64844955655 & 63.8115921155876 \tabularnewline
0.32 & 2037.78158020527 & 57.4565214128189 \tabularnewline
0.33 & 2048.68734797845 & 51.4471992297564 \tabularnewline
0.34 & 2058.47550215368 & 46.2250393763333 \tabularnewline
0.35 & 2067.31753644959 & 42.0959349266947 \tabularnewline
0.36 & 2075.42124584532 & 39.2103009737989 \tabularnewline
0.37 & 2083.00576494488 & 37.5736685944263 \tabularnewline
0.38 & 2090.28031375797 & 37.0459088872546 \tabularnewline
0.39 & 2097.42869915383 & 37.3991139183708 \tabularnewline
0.4 & 2104.60032318247 & 38.3821357856831 \tabularnewline
0.41 & 2111.90727791164 & 39.7703917723073 \tabularnewline
0.42 & 2119.42623905034 & 41.3755326078717 \tabularnewline
0.43 & 2127.20340334449 & 43.0708146137926 \tabularnewline
0.44 & 2135.26065918958 & 44.7679161017401 \tabularnewline
0.45 & 2143.60147390082 & 46.4037098344748 \tabularnewline
0.46 & 2152.21550868489 & 47.9383973203371 \tabularnewline
0.47 & 2161.08159105006 & 49.3302090757522 \tabularnewline
0.48 & 2170.16924485631 & 50.5247010691679 \tabularnewline
0.49 & 2179.43939093333 & 51.480200257651 \tabularnewline
0.5 & 2188.84502420254 & 52.1362311983338 \tabularnewline
0.51 & 2198.33263747291 & 52.453081896542 \tabularnewline
0.52 & 2207.84493467503 & 52.4048387748289 \tabularnewline
0.53 & 2217.32502540047 & 51.9952802155321 \tabularnewline
0.54 & 2226.72189921564 & 51.2637910549287 \tabularnewline
0.55 & 2235.99661999229 & 50.2891632548589 \tabularnewline
0.56 & 2245.12842047888 & 49.1873569258393 \tabularnewline
0.57 & 2254.11975777678 & 48.1154326550245 \tabularnewline
0.58 & 2262.99943035236 & 47.2353961169362 \tabularnewline
0.59 & 2271.82305236866 & 46.7157939990858 \tabularnewline
0.6 & 2280.67050482915 & 46.7068612920003 \tabularnewline
0.61 & 2289.64038920668 & 47.3004053991095 \tabularnewline
0.62 & 2298.84193767107 & 48.5389063217624 \tabularnewline
0.63 & 2308.3852185592 & 50.3882424182375 \tabularnewline
0.64 & 2318.37075445668 & 52.7466685990695 \tabularnewline
0.65 & 2328.87979607764 & 55.4493321004694 \tabularnewline
0.66 & 2339.96644448782 & 58.3152893786023 \tabularnewline
0.67 & 2351.65259264947 & 61.1375542520596 \tabularnewline
0.68 & 2363.92630110563 & 63.7239711967378 \tabularnewline
0.69 & 2376.74379654776 & 65.9139845395769 \tabularnewline
0.7 & 2390.03487135004 & 67.576941757049 \tabularnewline
0.71 & 2403.71115755931 & 68.651315835529 \tabularnewline
0.72 & 2417.67662128674 & 69.1189431390654 \tabularnewline
0.73 & 2431.83969141697 & 69.033011337002 \tabularnewline
0.74 & 2446.12663520491 & 68.4945307584305 \tabularnewline
0.75 & 2460.49596512903 & 67.6716626195172 \tabularnewline
0.76 & 2474.9535905795 & 66.7884183464353 \tabularnewline
0.77 & 2489.56793103624 & 66.1390968300804 \tabularnewline
0.78 & 2504.48326319093 & 66.0680018393659 \tabularnewline
0.79 & 2519.9284413603 & 66.971290210938 \tabularnewline
0.8 & 2536.21737285317 & 69.2362814666924 \tabularnewline
0.81 & 2553.73798917353 & 73.1510528492482 \tabularnewline
0.82 & 2572.92856205094 & 78.8090109919601 \tabularnewline
0.83 & 2594.2442337521 & 86.0571799612558 \tabularnewline
0.84 & 2618.12196772208 & 94.5111179388949 \tabularnewline
0.85 & 2644.95729674454 & 103.655792174095 \tabularnewline
0.86 & 2675.10888820549 & 112.998074124461 \tabularnewline
0.87 & 2708.94384361248 & 122.259794466973 \tabularnewline
0.88 & 2746.92397937578 & 131.551911386241 \tabularnewline
0.89 & 2789.7081443667 & 141.487423110138 \tabularnewline
0.9 & 2838.21028710964 & 153.029786297985 \tabularnewline
0.91 & 2893.52305077682 & 166.923548571853 \tabularnewline
0.92 & 2956.62684145217 & 182.627680418281 \tabularnewline
0.93 & 3027.8981681881 & 197.298414620853 \tabularnewline
0.94 & 3106.61804190254 & 205.882262254762 \tabularnewline
0.95 & 3190.86229238502 & 203.139750949423 \tabularnewline
0.96 & 3278.05900845972 & 187.141880511628 \tabularnewline
0.97 & 3365.74248788076 & 162.113802600981 \tabularnewline
0.98 & 3450.65995816429 & 138.238597446944 \tabularnewline
0.99 & 3524.40202507454 & 126.916230806371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207018&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]1351.99604522988[/C][C]100.289159123993[/C][/ROW]
[ROW][C]0.02[/C][C]1409.09285342738[/C][C]105.227870506825[/C][/ROW]
[ROW][C]0.03[/C][C]1471.77829551577[/C][C]111.852929137492[/C][/ROW]
[ROW][C]0.04[/C][C]1531.35558153406[/C][C]112.945289867856[/C][/ROW]
[ROW][C]0.05[/C][C]1584.5269641514[/C][C]107.287581290818[/C][/ROW]
[ROW][C]0.06[/C][C]1630.31444710046[/C][C]97.1060904266497[/C][/ROW]
[ROW][C]0.07[/C][C]1668.69115657122[/C][C]84.9388679698615[/C][/ROW]
[ROW][C]0.08[/C][C]1700.1761477721[/C][C]72.5652302474362[/C][/ROW]
[ROW][C]0.09[/C][C]1725.63146967601[/C][C]61.1021144790714[/C][/ROW]
[ROW][C]0.1[/C][C]1746.08524115527[/C][C]51.2860868594886[/C][/ROW]
[ROW][C]0.11[/C][C]1762.59495951206[/C][C]43.5778186845569[/C][/ROW]
[ROW][C]0.12[/C][C]1776.1581048772[/C][C]38.1693106494685[/C][/ROW]
[ROW][C]0.13[/C][C]1787.65996552573[/C][C]34.9911181791232[/C][/ROW]
[ROW][C]0.14[/C][C]1797.84986718202[/C][C]33.7944337840126[/C][/ROW]
[ROW][C]0.15[/C][C]1807.34037893165[/C][C]34.2745060633973[/C][/ROW]
[ROW][C]0.16[/C][C]1816.62303188897[/C][C]36.1774650097972[/C][/ROW]
[ROW][C]0.17[/C][C]1826.09162944064[/C][C]39.332900480869[/C][/ROW]
[ROW][C]0.18[/C][C]1836.06382035098[/C][C]43.6198230396451[/C][/ROW]
[ROW][C]0.19[/C][C]1846.79400393299[/C][C]48.8961418611402[/C][/ROW]
[ROW][C]0.2[/C][C]1858.47475976879[/C][C]54.9351628963947[/C][/ROW]
[ROW][C]0.21[/C][C]1871.22833738256[/C][C]61.3886723029516[/C][/ROW]
[ROW][C]0.22[/C][C]1885.09308949458[/C][C]67.8046831389005[/C][/ROW]
[ROW][C]0.23[/C][C]1900.01135927181[/C][C]73.658371562515[/C][/ROW]
[ROW][C]0.24[/C][C]1915.82502081668[/C][C]78.4198714389178[/C][/ROW]
[ROW][C]0.25[/C][C]1932.28288705056[/C][C]81.6303886799159[/C][/ROW]
[ROW][C]0.26[/C][C]1949.06118433178[/C][C]82.9728566583211[/C][/ROW]
[ROW][C]0.27[/C][C]1965.79508836553[/C][C]82.3121267889004[/C][/ROW]
[ROW][C]0.28[/C][C]1982.1167282397[/C][C]79.7246578788667[/C][/ROW]
[ROW][C]0.29[/C][C]1997.69366628684[/C][C]75.4818354584232[/C][/ROW]
[ROW][C]0.3[/C][C]2012.26186864869[/C][C]70.0032356858688[/C][/ROW]
[ROW][C]0.31[/C][C]2025.64844955655[/C][C]63.8115921155876[/C][/ROW]
[ROW][C]0.32[/C][C]2037.78158020527[/C][C]57.4565214128189[/C][/ROW]
[ROW][C]0.33[/C][C]2048.68734797845[/C][C]51.4471992297564[/C][/ROW]
[ROW][C]0.34[/C][C]2058.47550215368[/C][C]46.2250393763333[/C][/ROW]
[ROW][C]0.35[/C][C]2067.31753644959[/C][C]42.0959349266947[/C][/ROW]
[ROW][C]0.36[/C][C]2075.42124584532[/C][C]39.2103009737989[/C][/ROW]
[ROW][C]0.37[/C][C]2083.00576494488[/C][C]37.5736685944263[/C][/ROW]
[ROW][C]0.38[/C][C]2090.28031375797[/C][C]37.0459088872546[/C][/ROW]
[ROW][C]0.39[/C][C]2097.42869915383[/C][C]37.3991139183708[/C][/ROW]
[ROW][C]0.4[/C][C]2104.60032318247[/C][C]38.3821357856831[/C][/ROW]
[ROW][C]0.41[/C][C]2111.90727791164[/C][C]39.7703917723073[/C][/ROW]
[ROW][C]0.42[/C][C]2119.42623905034[/C][C]41.3755326078717[/C][/ROW]
[ROW][C]0.43[/C][C]2127.20340334449[/C][C]43.0708146137926[/C][/ROW]
[ROW][C]0.44[/C][C]2135.26065918958[/C][C]44.7679161017401[/C][/ROW]
[ROW][C]0.45[/C][C]2143.60147390082[/C][C]46.4037098344748[/C][/ROW]
[ROW][C]0.46[/C][C]2152.21550868489[/C][C]47.9383973203371[/C][/ROW]
[ROW][C]0.47[/C][C]2161.08159105006[/C][C]49.3302090757522[/C][/ROW]
[ROW][C]0.48[/C][C]2170.16924485631[/C][C]50.5247010691679[/C][/ROW]
[ROW][C]0.49[/C][C]2179.43939093333[/C][C]51.480200257651[/C][/ROW]
[ROW][C]0.5[/C][C]2188.84502420254[/C][C]52.1362311983338[/C][/ROW]
[ROW][C]0.51[/C][C]2198.33263747291[/C][C]52.453081896542[/C][/ROW]
[ROW][C]0.52[/C][C]2207.84493467503[/C][C]52.4048387748289[/C][/ROW]
[ROW][C]0.53[/C][C]2217.32502540047[/C][C]51.9952802155321[/C][/ROW]
[ROW][C]0.54[/C][C]2226.72189921564[/C][C]51.2637910549287[/C][/ROW]
[ROW][C]0.55[/C][C]2235.99661999229[/C][C]50.2891632548589[/C][/ROW]
[ROW][C]0.56[/C][C]2245.12842047888[/C][C]49.1873569258393[/C][/ROW]
[ROW][C]0.57[/C][C]2254.11975777678[/C][C]48.1154326550245[/C][/ROW]
[ROW][C]0.58[/C][C]2262.99943035236[/C][C]47.2353961169362[/C][/ROW]
[ROW][C]0.59[/C][C]2271.82305236866[/C][C]46.7157939990858[/C][/ROW]
[ROW][C]0.6[/C][C]2280.67050482915[/C][C]46.7068612920003[/C][/ROW]
[ROW][C]0.61[/C][C]2289.64038920668[/C][C]47.3004053991095[/C][/ROW]
[ROW][C]0.62[/C][C]2298.84193767107[/C][C]48.5389063217624[/C][/ROW]
[ROW][C]0.63[/C][C]2308.3852185592[/C][C]50.3882424182375[/C][/ROW]
[ROW][C]0.64[/C][C]2318.37075445668[/C][C]52.7466685990695[/C][/ROW]
[ROW][C]0.65[/C][C]2328.87979607764[/C][C]55.4493321004694[/C][/ROW]
[ROW][C]0.66[/C][C]2339.96644448782[/C][C]58.3152893786023[/C][/ROW]
[ROW][C]0.67[/C][C]2351.65259264947[/C][C]61.1375542520596[/C][/ROW]
[ROW][C]0.68[/C][C]2363.92630110563[/C][C]63.7239711967378[/C][/ROW]
[ROW][C]0.69[/C][C]2376.74379654776[/C][C]65.9139845395769[/C][/ROW]
[ROW][C]0.7[/C][C]2390.03487135004[/C][C]67.576941757049[/C][/ROW]
[ROW][C]0.71[/C][C]2403.71115755931[/C][C]68.651315835529[/C][/ROW]
[ROW][C]0.72[/C][C]2417.67662128674[/C][C]69.1189431390654[/C][/ROW]
[ROW][C]0.73[/C][C]2431.83969141697[/C][C]69.033011337002[/C][/ROW]
[ROW][C]0.74[/C][C]2446.12663520491[/C][C]68.4945307584305[/C][/ROW]
[ROW][C]0.75[/C][C]2460.49596512903[/C][C]67.6716626195172[/C][/ROW]
[ROW][C]0.76[/C][C]2474.9535905795[/C][C]66.7884183464353[/C][/ROW]
[ROW][C]0.77[/C][C]2489.56793103624[/C][C]66.1390968300804[/C][/ROW]
[ROW][C]0.78[/C][C]2504.48326319093[/C][C]66.0680018393659[/C][/ROW]
[ROW][C]0.79[/C][C]2519.9284413603[/C][C]66.971290210938[/C][/ROW]
[ROW][C]0.8[/C][C]2536.21737285317[/C][C]69.2362814666924[/C][/ROW]
[ROW][C]0.81[/C][C]2553.73798917353[/C][C]73.1510528492482[/C][/ROW]
[ROW][C]0.82[/C][C]2572.92856205094[/C][C]78.8090109919601[/C][/ROW]
[ROW][C]0.83[/C][C]2594.2442337521[/C][C]86.0571799612558[/C][/ROW]
[ROW][C]0.84[/C][C]2618.12196772208[/C][C]94.5111179388949[/C][/ROW]
[ROW][C]0.85[/C][C]2644.95729674454[/C][C]103.655792174095[/C][/ROW]
[ROW][C]0.86[/C][C]2675.10888820549[/C][C]112.998074124461[/C][/ROW]
[ROW][C]0.87[/C][C]2708.94384361248[/C][C]122.259794466973[/C][/ROW]
[ROW][C]0.88[/C][C]2746.92397937578[/C][C]131.551911386241[/C][/ROW]
[ROW][C]0.89[/C][C]2789.7081443667[/C][C]141.487423110138[/C][/ROW]
[ROW][C]0.9[/C][C]2838.21028710964[/C][C]153.029786297985[/C][/ROW]
[ROW][C]0.91[/C][C]2893.52305077682[/C][C]166.923548571853[/C][/ROW]
[ROW][C]0.92[/C][C]2956.62684145217[/C][C]182.627680418281[/C][/ROW]
[ROW][C]0.93[/C][C]3027.8981681881[/C][C]197.298414620853[/C][/ROW]
[ROW][C]0.94[/C][C]3106.61804190254[/C][C]205.882262254762[/C][/ROW]
[ROW][C]0.95[/C][C]3190.86229238502[/C][C]203.139750949423[/C][/ROW]
[ROW][C]0.96[/C][C]3278.05900845972[/C][C]187.141880511628[/C][/ROW]
[ROW][C]0.97[/C][C]3365.74248788076[/C][C]162.113802600981[/C][/ROW]
[ROW][C]0.98[/C][C]3450.65995816429[/C][C]138.238597446944[/C][/ROW]
[ROW][C]0.99[/C][C]3524.40202507454[/C][C]126.916230806371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207018&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207018&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
0.011351.99604522988100.289159123993
0.021409.09285342738105.227870506825
0.031471.77829551577111.852929137492
0.041531.35558153406112.945289867856
0.051584.5269641514107.287581290818
0.061630.3144471004697.1060904266497
0.071668.6911565712284.9388679698615
0.081700.176147772172.5652302474362
0.091725.6314696760161.1021144790714
0.11746.0852411552751.2860868594886
0.111762.5949595120643.5778186845569
0.121776.158104877238.1693106494685
0.131787.6599655257334.9911181791232
0.141797.8498671820233.7944337840126
0.151807.3403789316534.2745060633973
0.161816.6230318889736.1774650097972
0.171826.0916294406439.332900480869
0.181836.0638203509843.6198230396451
0.191846.7940039329948.8961418611402
0.21858.4747597687954.9351628963947
0.211871.2283373825661.3886723029516
0.221885.0930894945867.8046831389005
0.231900.0113592718173.658371562515
0.241915.8250208166878.4198714389178
0.251932.2828870505681.6303886799159
0.261949.0611843317882.9728566583211
0.271965.7950883655382.3121267889004
0.281982.116728239779.7246578788667
0.291997.6936662868475.4818354584232
0.32012.2618686486970.0032356858688
0.312025.6484495565563.8115921155876
0.322037.7815802052757.4565214128189
0.332048.6873479784551.4471992297564
0.342058.4755021536846.2250393763333
0.352067.3175364495942.0959349266947
0.362075.4212458453239.2103009737989
0.372083.0057649448837.5736685944263
0.382090.2803137579737.0459088872546
0.392097.4286991538337.3991139183708
0.42104.6003231824738.3821357856831
0.412111.9072779116439.7703917723073
0.422119.4262390503441.3755326078717
0.432127.2034033444943.0708146137926
0.442135.2606591895844.7679161017401
0.452143.6014739008246.4037098344748
0.462152.2155086848947.9383973203371
0.472161.0815910500649.3302090757522
0.482170.1692448563150.5247010691679
0.492179.4393909333351.480200257651
0.52188.8450242025452.1362311983338
0.512198.3326374729152.453081896542
0.522207.8449346750352.4048387748289
0.532217.3250254004751.9952802155321
0.542226.7218992156451.2637910549287
0.552235.9966199922950.2891632548589
0.562245.1284204788849.1873569258393
0.572254.1197577767848.1154326550245
0.582262.9994303523647.2353961169362
0.592271.8230523686646.7157939990858
0.62280.6705048291546.7068612920003
0.612289.6403892066847.3004053991095
0.622298.8419376710748.5389063217624
0.632308.385218559250.3882424182375
0.642318.3707544566852.7466685990695
0.652328.8797960776455.4493321004694
0.662339.9664444878258.3152893786023
0.672351.6525926494761.1375542520596
0.682363.9263011056363.7239711967378
0.692376.7437965477665.9139845395769
0.72390.0348713500467.576941757049
0.712403.7111575593168.651315835529
0.722417.6766212867469.1189431390654
0.732431.8396914169769.033011337002
0.742446.1266352049168.4945307584305
0.752460.4959651290367.6716626195172
0.762474.953590579566.7884183464353
0.772489.5679310362466.1390968300804
0.782504.4832631909366.0680018393659
0.792519.928441360366.971290210938
0.82536.2173728531769.2362814666924
0.812553.7379891735373.1510528492482
0.822572.9285620509478.8090109919601
0.832594.244233752186.0571799612558
0.842618.1219677220894.5111179388949
0.852644.95729674454103.655792174095
0.862675.10888820549112.998074124461
0.872708.94384361248122.259794466973
0.882746.92397937578131.551911386241
0.892789.7081443667141.487423110138
0.92838.21028710964153.029786297985
0.912893.52305077682166.923548571853
0.922956.62684145217182.627680418281
0.933027.8981681881197.298414620853
0.943106.61804190254205.882262254762
0.953190.86229238502203.139750949423
0.963278.05900845972187.141880511628
0.973365.74248788076162.113802600981
0.983450.65995816429138.238597446944
0.993524.40202507454126.916230806371


Figures (Output of Computation)

Input Parameters & R Code

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