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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 12:52:01 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225133918nr1xr4p2utz920u.htm/, Retrieved Sun, 19 May 2024 02:42:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19411, Retrieved Sun, 19 May 2024 02:42:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-27 18:52:01] [7957bb37a64ed417bbed8444b0b0ea8a] [Current]
Feedback Forum
2008-10-31 19:02:42 [Kevin Neelen] [reply] 
Er is gebruik gemaakt van de juiste methode om deze vraag op te lossen, namelijk de Harrell – Davis Quantiles-module. Hierbij kan step-size aangepast worden om met een betrouwbaarhiedsinterval van 95% te kunnen werken (en dus de 2,5% hoogste en laagste gegevens kunnen laten wegvallen). We zien dat er rechtsboven een aantal outliers zijn. De studente heeft wel een betrouwbaarhiedsinterval berekend voor alle gegevens terwijl dit moest gebeuren voor de random component.
Deze vraag is door de student blijkbaar niet echt goed begrepen.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2173
2363
2126
1905
2121
1983
1734
2074
2049
2406
2558
2251
2059
2397
1747
1707
2319
1631
1627
1791
2034
1997
2169
2028
2253
2218
1855
2187
1852
1570
1851
1954
1828
2251
2277
2085
2282
2266
1878
2267
2069
1746
2299
2360
2214
2825
2355
2333
3016
2155
2172
2150
2533
2058
2160
2259
2498
2695
2799
2945
2930
2318
2540
2570
2669
2450
2842
3439
2677
2979
2257
2842
2546
2455
2293
2379
2478
2054
2272
2351
2271
2542
2304
2194
2722
2395
2146
1894
2548
2087
2063
2481
2476
2212
2834
2148
2598

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19411&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19411&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19411&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011594.8915690328245.5377935888119
0.021630.0613615306545.4253524667598
0.031664.4611069775951.8035044253204
0.041696.0480993250052.7446940807855
0.051724.3793136982850.4883691864731
0.061749.5814450116349.763107564223
0.071772.4861288547150.9142080273758
0.081793.9233448028152.0050760664394
0.091814.2919896341852.1266092919807
0.11833.729330404951.9550053723471
0.111852.4287885034252.7248675089298
0.121870.7503939210255.0918539757663
0.131889.1038136462958.6758233112574
0.141907.7570735685862.4098510297248
0.151926.7116729680565.1282664327492
0.161945.6970366454365.9912020466719
0.171964.2620300776864.6554958744038
0.181981.9088728110361.2883803095927
0.191998.217829798356.4257744915889
0.22012.9309001387750.8165296986595
0.212025.9843524390745.2416613662395
0.222037.4957684147740.3781076319653
0.232047.7194787884936.7171827452417
0.242056.9862940663034.4962788128388
0.252065.6416496290733.6668741131502
0.262073.9928190203333.9526105480841
0.272082.2720090706334.9245435509107
0.282090.6184851575036.1253003395657
0.292099.0795316352737.1718439595516
0.32107.6271400355837.7995622263541
0.312116.1850842217537.8873677980299
0.322124.6598283324537.4639550730045
0.332132.9687726874336.6663665188580
0.342141.0606627507735.7150975894659
0.352148.9252292052234.8351150054814
0.362156.5917178590134.2247261102459
0.372164.1182815233433.9849681060742
0.382171.5757635579734.1325325308835
0.392179.0299917466834.5784409729883
0.42186.5263819432535.1670534303241
0.412194.0796735237135.7113507650090
0.422201.6703042963636.0351629658701
0.432209.2475757217035.9921284718016
0.442216.7385789784935.4963880737487
0.452224.0609873464134.5393937082784
0.462231.1373455958733.1881661041761
0.472237.9084276544431.5528790843406
0.482244.3435664416629.8203710350898
0.492250.4465080618228.1627387679247
0.52256.2561794782526.7781182543560
0.512261.8426254328625.8063712796059
0.522267.2991096726025.3738153595909
0.532272.7318695879225.5022566841382
0.542278.2492091654826.1636425197331
0.552283.9515287613127.2850639763036
0.562289.9235885619228.7462963592013
0.572296.2298720621830.4353625596286
0.582302.9134313077032.226438180228
0.592309.9981032777334.0374594074667
0.62317.4935079097935.8049644363118
0.612325.4017912987437.5099875670501
0.622333.7247066188039.1744480005182
0.632342.4694167697240.8397330966182
0.642351.6514730118442.564392731912
0.652361.2938712092844.390363774547
0.662371.4219214136346.3212647529958
0.672382.0547491650848.3107557043036
0.682393.1952875407350.2502466960723
0.692404.8212559584051.9959325037774
0.72416.879579739353.3824346926184
0.712429.2859642212954.2716850924186
0.722441.9302128968454.5656155928898
0.732454.6869096585554.2276037162394
0.742467.4307332206153.2938265999754
0.752480.0559585597351.8763786968491
0.762492.5000227899950.1708966831235
0.772504.7703934875848.4737577763515
0.782516.971659552747.1923763050847
0.792529.3261544182646.8327624460210
0.82542.1783882220247.9154728391602
0.812555.9738294194850.8146041497998
0.822571.2079832408455.5575987162606
0.832588.3512415693261.7595516570015
0.842607.764121799168.7019726335384
0.852629.6206092812475.5067718716287
0.862653.8525407627881.2807543678534
0.872680.1214278463685.2052884587961
0.882707.8272245717486.5751403446656
0.892736.1804252905084.9001229823556
0.92764.3759146719080.2007353068868
0.912791.8741835804773.4324112831343
0.922818.6953920134366.6496331833556
0.932845.5287869769962.2758916158424
0.942873.5520387572961.1538197964284
0.952904.4397629029161.5581237726088
0.962942.3310760811563.064894619548
0.973000.3821634849478.1801636427994
0.983107.29566181065144.182073915912
0.993280.81200098759283.15670136323

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1594.89156903282 & 45.5377935888119 \tabularnewline
0.02 & 1630.06136153065 & 45.4253524667598 \tabularnewline
0.03 & 1664.46110697759 & 51.8035044253204 \tabularnewline
0.04 & 1696.04809932500 & 52.7446940807855 \tabularnewline
0.05 & 1724.37931369828 & 50.4883691864731 \tabularnewline
0.06 & 1749.58144501163 & 49.763107564223 \tabularnewline
0.07 & 1772.48612885471 & 50.9142080273758 \tabularnewline
0.08 & 1793.92334480281 & 52.0050760664394 \tabularnewline
0.09 & 1814.29198963418 & 52.1266092919807 \tabularnewline
0.1 & 1833.7293304049 & 51.9550053723471 \tabularnewline
0.11 & 1852.42878850342 & 52.7248675089298 \tabularnewline
0.12 & 1870.75039392102 & 55.0918539757663 \tabularnewline
0.13 & 1889.10381364629 & 58.6758233112574 \tabularnewline
0.14 & 1907.75707356858 & 62.4098510297248 \tabularnewline
0.15 & 1926.71167296805 & 65.1282664327492 \tabularnewline
0.16 & 1945.69703664543 & 65.9912020466719 \tabularnewline
0.17 & 1964.26203007768 & 64.6554958744038 \tabularnewline
0.18 & 1981.90887281103 & 61.2883803095927 \tabularnewline
0.19 & 1998.2178297983 & 56.4257744915889 \tabularnewline
0.2 & 2012.93090013877 & 50.8165296986595 \tabularnewline
0.21 & 2025.98435243907 & 45.2416613662395 \tabularnewline
0.22 & 2037.49576841477 & 40.3781076319653 \tabularnewline
0.23 & 2047.71947878849 & 36.7171827452417 \tabularnewline
0.24 & 2056.98629406630 & 34.4962788128388 \tabularnewline
0.25 & 2065.64164962907 & 33.6668741131502 \tabularnewline
0.26 & 2073.99281902033 & 33.9526105480841 \tabularnewline
0.27 & 2082.27200907063 & 34.9245435509107 \tabularnewline
0.28 & 2090.61848515750 & 36.1253003395657 \tabularnewline
0.29 & 2099.07953163527 & 37.1718439595516 \tabularnewline
0.3 & 2107.62714003558 & 37.7995622263541 \tabularnewline
0.31 & 2116.18508422175 & 37.8873677980299 \tabularnewline
0.32 & 2124.65982833245 & 37.4639550730045 \tabularnewline
0.33 & 2132.96877268743 & 36.6663665188580 \tabularnewline
0.34 & 2141.06066275077 & 35.7150975894659 \tabularnewline
0.35 & 2148.92522920522 & 34.8351150054814 \tabularnewline
0.36 & 2156.59171785901 & 34.2247261102459 \tabularnewline
0.37 & 2164.11828152334 & 33.9849681060742 \tabularnewline
0.38 & 2171.57576355797 & 34.1325325308835 \tabularnewline
0.39 & 2179.02999174668 & 34.5784409729883 \tabularnewline
0.4 & 2186.52638194325 & 35.1670534303241 \tabularnewline
0.41 & 2194.07967352371 & 35.7113507650090 \tabularnewline
0.42 & 2201.67030429636 & 36.0351629658701 \tabularnewline
0.43 & 2209.24757572170 & 35.9921284718016 \tabularnewline
0.44 & 2216.73857897849 & 35.4963880737487 \tabularnewline
0.45 & 2224.06098734641 & 34.5393937082784 \tabularnewline
0.46 & 2231.13734559587 & 33.1881661041761 \tabularnewline
0.47 & 2237.90842765444 & 31.5528790843406 \tabularnewline
0.48 & 2244.34356644166 & 29.8203710350898 \tabularnewline
0.49 & 2250.44650806182 & 28.1627387679247 \tabularnewline
0.5 & 2256.25617947825 & 26.7781182543560 \tabularnewline
0.51 & 2261.84262543286 & 25.8063712796059 \tabularnewline
0.52 & 2267.29910967260 & 25.3738153595909 \tabularnewline
0.53 & 2272.73186958792 & 25.5022566841382 \tabularnewline
0.54 & 2278.24920916548 & 26.1636425197331 \tabularnewline
0.55 & 2283.95152876131 & 27.2850639763036 \tabularnewline
0.56 & 2289.92358856192 & 28.7462963592013 \tabularnewline
0.57 & 2296.22987206218 & 30.4353625596286 \tabularnewline
0.58 & 2302.91343130770 & 32.226438180228 \tabularnewline
0.59 & 2309.99810327773 & 34.0374594074667 \tabularnewline
0.6 & 2317.49350790979 & 35.8049644363118 \tabularnewline
0.61 & 2325.40179129874 & 37.5099875670501 \tabularnewline
0.62 & 2333.72470661880 & 39.1744480005182 \tabularnewline
0.63 & 2342.46941676972 & 40.8397330966182 \tabularnewline
0.64 & 2351.65147301184 & 42.564392731912 \tabularnewline
0.65 & 2361.29387120928 & 44.390363774547 \tabularnewline
0.66 & 2371.42192141363 & 46.3212647529958 \tabularnewline
0.67 & 2382.05474916508 & 48.3107557043036 \tabularnewline
0.68 & 2393.19528754073 & 50.2502466960723 \tabularnewline
0.69 & 2404.82125595840 & 51.9959325037774 \tabularnewline
0.7 & 2416.8795797393 & 53.3824346926184 \tabularnewline
0.71 & 2429.28596422129 & 54.2716850924186 \tabularnewline
0.72 & 2441.93021289684 & 54.5656155928898 \tabularnewline
0.73 & 2454.68690965855 & 54.2276037162394 \tabularnewline
0.74 & 2467.43073322061 & 53.2938265999754 \tabularnewline
0.75 & 2480.05595855973 & 51.8763786968491 \tabularnewline
0.76 & 2492.50002278999 & 50.1708966831235 \tabularnewline
0.77 & 2504.77039348758 & 48.4737577763515 \tabularnewline
0.78 & 2516.9716595527 & 47.1923763050847 \tabularnewline
0.79 & 2529.32615441826 & 46.8327624460210 \tabularnewline
0.8 & 2542.17838822202 & 47.9154728391602 \tabularnewline
0.81 & 2555.97382941948 & 50.8146041497998 \tabularnewline
0.82 & 2571.20798324084 & 55.5575987162606 \tabularnewline
0.83 & 2588.35124156932 & 61.7595516570015 \tabularnewline
0.84 & 2607.7641217991 & 68.7019726335384 \tabularnewline
0.85 & 2629.62060928124 & 75.5067718716287 \tabularnewline
0.86 & 2653.85254076278 & 81.2807543678534 \tabularnewline
0.87 & 2680.12142784636 & 85.2052884587961 \tabularnewline
0.88 & 2707.82722457174 & 86.5751403446656 \tabularnewline
0.89 & 2736.18042529050 & 84.9001229823556 \tabularnewline
0.9 & 2764.37591467190 & 80.2007353068868 \tabularnewline
0.91 & 2791.87418358047 & 73.4324112831343 \tabularnewline
0.92 & 2818.69539201343 & 66.6496331833556 \tabularnewline
0.93 & 2845.52878697699 & 62.2758916158424 \tabularnewline
0.94 & 2873.55203875729 & 61.1538197964284 \tabularnewline
0.95 & 2904.43976290291 & 61.5581237726088 \tabularnewline
0.96 & 2942.33107608115 & 63.064894619548 \tabularnewline
0.97 & 3000.38216348494 & 78.1801636427994 \tabularnewline
0.98 & 3107.29566181065 & 144.182073915912 \tabularnewline
0.99 & 3280.81200098759 & 283.15670136323 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19411&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]1594.89156903282[/C][C]45.5377935888119[/C][/ROW]
[ROW][C]0.02[/C][C]1630.06136153065[/C][C]45.4253524667598[/C][/ROW]
[ROW][C]0.03[/C][C]1664.46110697759[/C][C]51.8035044253204[/C][/ROW]
[ROW][C]0.04[/C][C]1696.04809932500[/C][C]52.7446940807855[/C][/ROW]
[ROW][C]0.05[/C][C]1724.37931369828[/C][C]50.4883691864731[/C][/ROW]
[ROW][C]0.06[/C][C]1749.58144501163[/C][C]49.763107564223[/C][/ROW]
[ROW][C]0.07[/C][C]1772.48612885471[/C][C]50.9142080273758[/C][/ROW]
[ROW][C]0.08[/C][C]1793.92334480281[/C][C]52.0050760664394[/C][/ROW]
[ROW][C]0.09[/C][C]1814.29198963418[/C][C]52.1266092919807[/C][/ROW]
[ROW][C]0.1[/C][C]1833.7293304049[/C][C]51.9550053723471[/C][/ROW]
[ROW][C]0.11[/C][C]1852.42878850342[/C][C]52.7248675089298[/C][/ROW]
[ROW][C]0.12[/C][C]1870.75039392102[/C][C]55.0918539757663[/C][/ROW]
[ROW][C]0.13[/C][C]1889.10381364629[/C][C]58.6758233112574[/C][/ROW]
[ROW][C]0.14[/C][C]1907.75707356858[/C][C]62.4098510297248[/C][/ROW]
[ROW][C]0.15[/C][C]1926.71167296805[/C][C]65.1282664327492[/C][/ROW]
[ROW][C]0.16[/C][C]1945.69703664543[/C][C]65.9912020466719[/C][/ROW]
[ROW][C]0.17[/C][C]1964.26203007768[/C][C]64.6554958744038[/C][/ROW]
[ROW][C]0.18[/C][C]1981.90887281103[/C][C]61.2883803095927[/C][/ROW]
[ROW][C]0.19[/C][C]1998.2178297983[/C][C]56.4257744915889[/C][/ROW]
[ROW][C]0.2[/C][C]2012.93090013877[/C][C]50.8165296986595[/C][/ROW]
[ROW][C]0.21[/C][C]2025.98435243907[/C][C]45.2416613662395[/C][/ROW]
[ROW][C]0.22[/C][C]2037.49576841477[/C][C]40.3781076319653[/C][/ROW]
[ROW][C]0.23[/C][C]2047.71947878849[/C][C]36.7171827452417[/C][/ROW]
[ROW][C]0.24[/C][C]2056.98629406630[/C][C]34.4962788128388[/C][/ROW]
[ROW][C]0.25[/C][C]2065.64164962907[/C][C]33.6668741131502[/C][/ROW]
[ROW][C]0.26[/C][C]2073.99281902033[/C][C]33.9526105480841[/C][/ROW]
[ROW][C]0.27[/C][C]2082.27200907063[/C][C]34.9245435509107[/C][/ROW]
[ROW][C]0.28[/C][C]2090.61848515750[/C][C]36.1253003395657[/C][/ROW]
[ROW][C]0.29[/C][C]2099.07953163527[/C][C]37.1718439595516[/C][/ROW]
[ROW][C]0.3[/C][C]2107.62714003558[/C][C]37.7995622263541[/C][/ROW]
[ROW][C]0.31[/C][C]2116.18508422175[/C][C]37.8873677980299[/C][/ROW]
[ROW][C]0.32[/C][C]2124.65982833245[/C][C]37.4639550730045[/C][/ROW]
[ROW][C]0.33[/C][C]2132.96877268743[/C][C]36.6663665188580[/C][/ROW]
[ROW][C]0.34[/C][C]2141.06066275077[/C][C]35.7150975894659[/C][/ROW]
[ROW][C]0.35[/C][C]2148.92522920522[/C][C]34.8351150054814[/C][/ROW]
[ROW][C]0.36[/C][C]2156.59171785901[/C][C]34.2247261102459[/C][/ROW]
[ROW][C]0.37[/C][C]2164.11828152334[/C][C]33.9849681060742[/C][/ROW]
[ROW][C]0.38[/C][C]2171.57576355797[/C][C]34.1325325308835[/C][/ROW]
[ROW][C]0.39[/C][C]2179.02999174668[/C][C]34.5784409729883[/C][/ROW]
[ROW][C]0.4[/C][C]2186.52638194325[/C][C]35.1670534303241[/C][/ROW]
[ROW][C]0.41[/C][C]2194.07967352371[/C][C]35.7113507650090[/C][/ROW]
[ROW][C]0.42[/C][C]2201.67030429636[/C][C]36.0351629658701[/C][/ROW]
[ROW][C]0.43[/C][C]2209.24757572170[/C][C]35.9921284718016[/C][/ROW]
[ROW][C]0.44[/C][C]2216.73857897849[/C][C]35.4963880737487[/C][/ROW]
[ROW][C]0.45[/C][C]2224.06098734641[/C][C]34.5393937082784[/C][/ROW]
[ROW][C]0.46[/C][C]2231.13734559587[/C][C]33.1881661041761[/C][/ROW]
[ROW][C]0.47[/C][C]2237.90842765444[/C][C]31.5528790843406[/C][/ROW]
[ROW][C]0.48[/C][C]2244.34356644166[/C][C]29.8203710350898[/C][/ROW]
[ROW][C]0.49[/C][C]2250.44650806182[/C][C]28.1627387679247[/C][/ROW]
[ROW][C]0.5[/C][C]2256.25617947825[/C][C]26.7781182543560[/C][/ROW]
[ROW][C]0.51[/C][C]2261.84262543286[/C][C]25.8063712796059[/C][/ROW]
[ROW][C]0.52[/C][C]2267.29910967260[/C][C]25.3738153595909[/C][/ROW]
[ROW][C]0.53[/C][C]2272.73186958792[/C][C]25.5022566841382[/C][/ROW]
[ROW][C]0.54[/C][C]2278.24920916548[/C][C]26.1636425197331[/C][/ROW]
[ROW][C]0.55[/C][C]2283.95152876131[/C][C]27.2850639763036[/C][/ROW]
[ROW][C]0.56[/C][C]2289.92358856192[/C][C]28.7462963592013[/C][/ROW]
[ROW][C]0.57[/C][C]2296.22987206218[/C][C]30.4353625596286[/C][/ROW]
[ROW][C]0.58[/C][C]2302.91343130770[/C][C]32.226438180228[/C][/ROW]
[ROW][C]0.59[/C][C]2309.99810327773[/C][C]34.0374594074667[/C][/ROW]
[ROW][C]0.6[/C][C]2317.49350790979[/C][C]35.8049644363118[/C][/ROW]
[ROW][C]0.61[/C][C]2325.40179129874[/C][C]37.5099875670501[/C][/ROW]
[ROW][C]0.62[/C][C]2333.72470661880[/C][C]39.1744480005182[/C][/ROW]
[ROW][C]0.63[/C][C]2342.46941676972[/C][C]40.8397330966182[/C][/ROW]
[ROW][C]0.64[/C][C]2351.65147301184[/C][C]42.564392731912[/C][/ROW]
[ROW][C]0.65[/C][C]2361.29387120928[/C][C]44.390363774547[/C][/ROW]
[ROW][C]0.66[/C][C]2371.42192141363[/C][C]46.3212647529958[/C][/ROW]
[ROW][C]0.67[/C][C]2382.05474916508[/C][C]48.3107557043036[/C][/ROW]
[ROW][C]0.68[/C][C]2393.19528754073[/C][C]50.2502466960723[/C][/ROW]
[ROW][C]0.69[/C][C]2404.82125595840[/C][C]51.9959325037774[/C][/ROW]
[ROW][C]0.7[/C][C]2416.8795797393[/C][C]53.3824346926184[/C][/ROW]
[ROW][C]0.71[/C][C]2429.28596422129[/C][C]54.2716850924186[/C][/ROW]
[ROW][C]0.72[/C][C]2441.93021289684[/C][C]54.5656155928898[/C][/ROW]
[ROW][C]0.73[/C][C]2454.68690965855[/C][C]54.2276037162394[/C][/ROW]
[ROW][C]0.74[/C][C]2467.43073322061[/C][C]53.2938265999754[/C][/ROW]
[ROW][C]0.75[/C][C]2480.05595855973[/C][C]51.8763786968491[/C][/ROW]
[ROW][C]0.76[/C][C]2492.50002278999[/C][C]50.1708966831235[/C][/ROW]
[ROW][C]0.77[/C][C]2504.77039348758[/C][C]48.4737577763515[/C][/ROW]
[ROW][C]0.78[/C][C]2516.9716595527[/C][C]47.1923763050847[/C][/ROW]
[ROW][C]0.79[/C][C]2529.32615441826[/C][C]46.8327624460210[/C][/ROW]
[ROW][C]0.8[/C][C]2542.17838822202[/C][C]47.9154728391602[/C][/ROW]
[ROW][C]0.81[/C][C]2555.97382941948[/C][C]50.8146041497998[/C][/ROW]
[ROW][C]0.82[/C][C]2571.20798324084[/C][C]55.5575987162606[/C][/ROW]
[ROW][C]0.83[/C][C]2588.35124156932[/C][C]61.7595516570015[/C][/ROW]
[ROW][C]0.84[/C][C]2607.7641217991[/C][C]68.7019726335384[/C][/ROW]
[ROW][C]0.85[/C][C]2629.62060928124[/C][C]75.5067718716287[/C][/ROW]
[ROW][C]0.86[/C][C]2653.85254076278[/C][C]81.2807543678534[/C][/ROW]
[ROW][C]0.87[/C][C]2680.12142784636[/C][C]85.2052884587961[/C][/ROW]
[ROW][C]0.88[/C][C]2707.82722457174[/C][C]86.5751403446656[/C][/ROW]
[ROW][C]0.89[/C][C]2736.18042529050[/C][C]84.9001229823556[/C][/ROW]
[ROW][C]0.9[/C][C]2764.37591467190[/C][C]80.2007353068868[/C][/ROW]
[ROW][C]0.91[/C][C]2791.87418358047[/C][C]73.4324112831343[/C][/ROW]
[ROW][C]0.92[/C][C]2818.69539201343[/C][C]66.6496331833556[/C][/ROW]
[ROW][C]0.93[/C][C]2845.52878697699[/C][C]62.2758916158424[/C][/ROW]
[ROW][C]0.94[/C][C]2873.55203875729[/C][C]61.1538197964284[/C][/ROW]
[ROW][C]0.95[/C][C]2904.43976290291[/C][C]61.5581237726088[/C][/ROW]
[ROW][C]0.96[/C][C]2942.33107608115[/C][C]63.064894619548[/C][/ROW]
[ROW][C]0.97[/C][C]3000.38216348494[/C][C]78.1801636427994[/C][/ROW]
[ROW][C]0.98[/C][C]3107.29566181065[/C][C]144.182073915912[/C][/ROW]
[ROW][C]0.99[/C][C]3280.81200098759[/C][C]283.15670136323[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19411&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19411&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
0.011594.8915690328245.5377935888119
0.021630.0613615306545.4253524667598
0.031664.4611069775951.8035044253204
0.041696.0480993250052.7446940807855
0.051724.3793136982850.4883691864731
0.061749.5814450116349.763107564223
0.071772.4861288547150.9142080273758
0.081793.9233448028152.0050760664394
0.091814.2919896341852.1266092919807
0.11833.729330404951.9550053723471
0.111852.4287885034252.7248675089298
0.121870.7503939210255.0918539757663
0.131889.1038136462958.6758233112574
0.141907.7570735685862.4098510297248
0.151926.7116729680565.1282664327492
0.161945.6970366454365.9912020466719
0.171964.2620300776864.6554958744038
0.181981.9088728110361.2883803095927
0.191998.217829798356.4257744915889
0.22012.9309001387750.8165296986595
0.212025.9843524390745.2416613662395
0.222037.4957684147740.3781076319653
0.232047.7194787884936.7171827452417
0.242056.9862940663034.4962788128388
0.252065.6416496290733.6668741131502
0.262073.9928190203333.9526105480841
0.272082.2720090706334.9245435509107
0.282090.6184851575036.1253003395657
0.292099.0795316352737.1718439595516
0.32107.6271400355837.7995622263541
0.312116.1850842217537.8873677980299
0.322124.6598283324537.4639550730045
0.332132.9687726874336.6663665188580
0.342141.0606627507735.7150975894659
0.352148.9252292052234.8351150054814
0.362156.5917178590134.2247261102459
0.372164.1182815233433.9849681060742
0.382171.5757635579734.1325325308835
0.392179.0299917466834.5784409729883
0.42186.5263819432535.1670534303241
0.412194.0796735237135.7113507650090
0.422201.6703042963636.0351629658701
0.432209.2475757217035.9921284718016
0.442216.7385789784935.4963880737487
0.452224.0609873464134.5393937082784
0.462231.1373455958733.1881661041761
0.472237.9084276544431.5528790843406
0.482244.3435664416629.8203710350898
0.492250.4465080618228.1627387679247
0.52256.2561794782526.7781182543560
0.512261.8426254328625.8063712796059
0.522267.2991096726025.3738153595909
0.532272.7318695879225.5022566841382
0.542278.2492091654826.1636425197331
0.552283.9515287613127.2850639763036
0.562289.9235885619228.7462963592013
0.572296.2298720621830.4353625596286
0.582302.9134313077032.226438180228
0.592309.9981032777334.0374594074667
0.62317.4935079097935.8049644363118
0.612325.4017912987437.5099875670501
0.622333.7247066188039.1744480005182
0.632342.4694167697240.8397330966182
0.642351.6514730118442.564392731912
0.652361.2938712092844.390363774547
0.662371.4219214136346.3212647529958
0.672382.0547491650848.3107557043036
0.682393.1952875407350.2502466960723
0.692404.8212559584051.9959325037774
0.72416.879579739353.3824346926184
0.712429.2859642212954.2716850924186
0.722441.9302128968454.5656155928898
0.732454.6869096585554.2276037162394
0.742467.4307332206153.2938265999754
0.752480.0559585597351.8763786968491
0.762492.5000227899950.1708966831235
0.772504.7703934875848.4737577763515
0.782516.971659552747.1923763050847
0.792529.3261544182646.8327624460210
0.82542.1783882220247.9154728391602
0.812555.9738294194850.8146041497998
0.822571.2079832408455.5575987162606
0.832588.3512415693261.7595516570015
0.842607.764121799168.7019726335384
0.852629.6206092812475.5067718716287
0.862653.8525407627881.2807543678534
0.872680.1214278463685.2052884587961
0.882707.8272245717486.5751403446656
0.892736.1804252905084.9001229823556
0.92764.3759146719080.2007353068868
0.912791.8741835804773.4324112831343
0.922818.6953920134366.6496331833556
0.932845.5287869769962.2758916158424
0.942873.5520387572961.1538197964284
0.952904.4397629029161.5581237726088
0.962942.3310760811563.064894619548
0.973000.3821634849478.1801636427994
0.983107.29566181065144.182073915912
0.993280.81200098759283.15670136323


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')