FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 Thu, 12 Feb 2026 01:13:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207018, Retrieved Thu, 12 Feb 2026 01:13:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact385

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]
Feedback Forum

Post a new message

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')