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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Nov 2008 08:27:37 -0700
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/Nov/02/t1225639705qx4ny52yzxhvwwa.htm/, Retrieved Sun, 19 May 2024 11:32:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20608, Retrieved Sun, 19 May 2024 11:32:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Q7] [2008-10-27 21:31:04] [299afd6311e4c20059ea2f05c8dd029d]
-   P   [Univariate Explorative Data Analysis] [Q7 - verbetering] [2008-11-02 14:54:25] [299afd6311e4c20059ea2f05c8dd029d]
- RM      [Harrell-Davis Quantiles] [Q9] [2008-11-02 15:18:12] [299afd6311e4c20059ea2f05c8dd029d]
- R           [Harrell-Davis Quantiles] [Q9 - wijziging R-...] [2008-11-02 15:27:37] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
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Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12192.5
11268.8
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584.0
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428.0
13105.9
14716.8
14180.0
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17157.3
16159.1
13405.7
17224.7
17338.4
17370.6
18817.8
16593.2
17979.5

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20608&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20608&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-4512.517682865281352.96713425338
0.015-4268.612826442161187.45688177630
0.02-4014.467147558121017.15997986199
0.025-3769.37477964153855.907200264316
0.03-3546.00262609489712.6461092517
0.035-3350.68040420163591.709322352427
0.04-3184.78400973801493.895147401907
0.045-3046.42828409787417.72099612244
0.05-2931.9869797894360.477005174997
0.055-2837.22923685488318.944057438648
0.06-2758.04600439336289.822653709526
0.065-2690.83542553005270.012249979837
0.07-2632.64695038871256.816314860846
0.075-2581.17754687125248.069357839855
0.08-2534.69156642131242.181770041685
0.085-2491.91189998467238.099383033633
0.09-2451.91028421961235.222105696447
0.095-2414.01069614509233.297685148373
0.1-2377.71110674502232.318761434173
0.105-2342.62405743571232.439030034302
0.11-2308.43419725676233.871260236603
0.115-2274.87001878616236.849615164792
0.12-2241.68686862169241.541344151025
0.125-2208.65848633697248.024416109715
0.13-2175.57463913271256.259947285613
0.135-2142.24277353504266.099012925647
0.14-2108.49196147964277.285676874691
0.145-2074.17776083511289.486221042461
0.15-2039.18693301646302.314885542936
0.155-2003.44125798233315.353783857532
0.16-1966.89995503996328.193937782629
0.165-1929.56045229085340.433753465547
0.17-1891.45744488994351.712525036572
0.175-1852.66034052887361.715452740546
0.18-1813.26930920255370.187054080438
0.185-1773.41023449862376.929740926251
0.19-1733.22890799564381.820124242563
0.195-1692.88482082130384.79337024435
0.2-1652.54489201080385.851903734452
0.205-1612.37743773396385.053384404383
0.21-1572.54663479138382.499318814128
0.215-1533.20767204578378.338776171595
0.22-1494.50272029688372.749717792522
0.225-1456.55778946876365.931160348249
0.23-1419.48048587298358.092806796970
0.235-1383.35863467670349.449807581120
0.24-1348.25969536354340.217114927689
0.245-1314.23087166724330.599820000495
0.25-1281.29980197126320.788601894682
0.255-1249.47571051335310.962135282309
0.26-1218.75090235893301.279945772937
0.265-1189.10249412426291.886101629195
0.27-1160.49428582660282.900619884163
0.275-1132.87869506821274.43363363443
0.28-1106.19869129051266.575261342518
0.285-1080.38968364585259.395461556893
0.29-1055.38133008135252.954920335766
0.295-1031.09924685070247.294617027504
0.3-1007.46660656519242.441338463887
0.305-984.40561907814238.408745831492
0.31-961.838893221233235.193844124120
0.315-939.690679105648232.778046488473
0.32-917.887990882895231.129361830103
0.325-896.36160907961230.201698911551
0.33-875.046960394662229.938264346759
0.335-853.884871624454230.271419200080
0.34-832.822193513142231.122121988066
0.345-811.812290048396232.408923271593
0.35-790.815389167858234.042619050014
0.355-769.798792031731235.935257871487
0.36-748.736939890768237.996042776864
0.365-727.611340007093240.138996475232
0.37-706.410354892839242.280584879052
0.375-685.12886211988244.343541726828
0.38-663.76779491937246.260084494852
0.385-642.333576541702247.967920601316
0.39-620.837463720467249.416363319545
0.395-599.294816448282250.561529544123
0.4-577.72431253944251.374828364693
0.405-556.147126079489251.832766968545
0.41-534.586088843388251.927878098265
0.415-513.064853139828251.659148073808
0.42-491.607073381485251.036428974764
0.425-470.235622087769250.079036567597
0.43-448.971854114258248.814733814969
0.435-427.8349307962247.278225408309
0.44-406.841213516346245.511914405435
0.445-386.003734074425243.562078052649
0.45-365.331747244129241.481464795901
0.455-344.830369127535239.325887679102
0.46-324.500303402816237.153054691891
0.465-304.337656325826235.023154992610
0.47-284.333840377433232.997714979708
0.475-264.475565707787231.137703127054
0.48-244.74491795585229.502491375265
0.485-225.119520542405228.150481734442
0.49-205.572779065134227.136006077877
0.495-186.074204884069226.510429478412
0.5-166.589814303309226.319496147184
0.505-147.082598876031226.602469983742
0.51-127.513061253374227.391388742838
0.515-107.839809660638228.709562406601
0.52-88.0202025427927230.571497148925
0.525-68.0110332315549232.980507236379
0.53-47.7692427308095235.929500749595
0.535-27.2526470000047239.40055876676
0.54-6.42066355503338243.364994733604
0.54514.7649790721330247.783663031396
0.5536.3395663480734252.607724100306
0.55558.3347749202374257.780210186995
0.5680.7781194176112263.237114212331
0.565103.692485413285268.908655637196
0.57127.095763493878274.721774974068
0.575151.000597101088280.601177551539
0.58175.414253899384286.471488874243
0.585200.338626968886292.259412630214
0.59225.770368246404297.894767235787
0.595251.701152493146303.312604586770
0.6278.118065829851308.455110613941
0.605305.004108738828313.271794322465
0.61332.338799581808317.721378047026
0.615360.09886131189321.773795179887
0.62388.258971340899325.407242680079
0.625416.792552608068328.612300965547
0.63445.67258289539331.389824261441
0.635474.872399418499333.751175645687
0.64504.366476708526335.716982478838
0.645534.131157752965337.318359864219
0.65564.145321186431338.591742106484
0.655594.390970860833339.582297771186
0.66624.853738169536340.339207097508
0.665655.523291794175340.914788356785
0.67686.393653793384341.364346525312
0.675717.463424848001341.744091847553
0.68748.735924707884342.108366457661
0.685780.219256169829342.509786831005
0.69811.926302028532342.999303487023
0.695843.87466424376343.624094023804
0.7876.086553032339344.428016197057
0.705908.58863083855345.451119683217
0.71941.411812433206346.730987449211
0.715974.591018174658348.301507217675
0.721008.16487332083350.193753310686
0.7251042.17534291838352.434874305738
0.731076.66728999204355.051097175566
0.7351111.68794528690358.062482871498
0.741147.28628035142361.485941775143
0.7451183.51228274495365.329398898433
0.751220.41614273213369.593176337740
0.7551258.04737465411374.267864543115
0.761296.45391235942379.330627801383
0.7651335.68123514499384.742435445972
0.771375.77159650311390.450515383958
0.7751416.76343997457396.388217592022
0.781458.69109160635402.474361280498
0.7851501.58481387543408.619208229356
0.791545.47128875577414.731006035876
0.7951590.37456593989420.719353388358
0.81636.31746543938426.504754567135
0.8051683.32336303046432.031988869601
0.811731.41821565773437.273668505316
0.8151780.63260782463442.235130774255
0.821831.00352755925446.967519496388
0.8251882.57552233396451.555639979099
0.831935.40085344390456.122367704484
0.8351989.53827435162460.807353329981
0.842045.05011588851465.753346446105
0.8452101.99747768833471.076257430101
0.852160.43350487414476.833076677071
0.8552220.39496942761482.994941327039
0.862281.89266652356489.416316532002
0.8652344.90145831948495.819812871916
0.872409.35112335697501.792487541801
0.8752475.11946316666506.801959248727
0.882542.02933748648510.230205178204
0.8852609.85140184739511.422510803829
0.892678.31426400527509.753801986036
0.8952747.1235232371504.702128809731
0.92815.99068487637495.92673327697
0.9052884.67224327845483.348515359266
0.912953.01830822838467.219839437387
0.9153021.02903355731448.194465850052
0.923088.91581132559427.381787399852
0.9253157.16270919905406.389901362237
0.933226.58186981624387.335624023453
0.9353298.35436092214372.78111922663
0.943374.04493776984365.502165626556
0.9453455.57498544376368.011310053412
0.953545.13241898747381.918790420718
0.9553644.99123701815407.456438729774
0.963757.20923217999443.480615585164
0.9653883.17544414017487.916871862181
0.974022.99827756474538.326812357552
0.9754174.77240111448592.317501800381
0.984333.84737965592647.651451976255
0.9854492.34182542829701.98028422294
0.994639.2758904036752.311769438361

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -4512.51768286528 & 1352.96713425338 \tabularnewline
0.015 & -4268.61282644216 & 1187.45688177630 \tabularnewline
0.02 & -4014.46714755812 & 1017.15997986199 \tabularnewline
0.025 & -3769.37477964153 & 855.907200264316 \tabularnewline
0.03 & -3546.00262609489 & 712.6461092517 \tabularnewline
0.035 & -3350.68040420163 & 591.709322352427 \tabularnewline
0.04 & -3184.78400973801 & 493.895147401907 \tabularnewline
0.045 & -3046.42828409787 & 417.72099612244 \tabularnewline
0.05 & -2931.9869797894 & 360.477005174997 \tabularnewline
0.055 & -2837.22923685488 & 318.944057438648 \tabularnewline
0.06 & -2758.04600439336 & 289.822653709526 \tabularnewline
0.065 & -2690.83542553005 & 270.012249979837 \tabularnewline
0.07 & -2632.64695038871 & 256.816314860846 \tabularnewline
0.075 & -2581.17754687125 & 248.069357839855 \tabularnewline
0.08 & -2534.69156642131 & 242.181770041685 \tabularnewline
0.085 & -2491.91189998467 & 238.099383033633 \tabularnewline
0.09 & -2451.91028421961 & 235.222105696447 \tabularnewline
0.095 & -2414.01069614509 & 233.297685148373 \tabularnewline
0.1 & -2377.71110674502 & 232.318761434173 \tabularnewline
0.105 & -2342.62405743571 & 232.439030034302 \tabularnewline
0.11 & -2308.43419725676 & 233.871260236603 \tabularnewline
0.115 & -2274.87001878616 & 236.849615164792 \tabularnewline
0.12 & -2241.68686862169 & 241.541344151025 \tabularnewline
0.125 & -2208.65848633697 & 248.024416109715 \tabularnewline
0.13 & -2175.57463913271 & 256.259947285613 \tabularnewline
0.135 & -2142.24277353504 & 266.099012925647 \tabularnewline
0.14 & -2108.49196147964 & 277.285676874691 \tabularnewline
0.145 & -2074.17776083511 & 289.486221042461 \tabularnewline
0.15 & -2039.18693301646 & 302.314885542936 \tabularnewline
0.155 & -2003.44125798233 & 315.353783857532 \tabularnewline
0.16 & -1966.89995503996 & 328.193937782629 \tabularnewline
0.165 & -1929.56045229085 & 340.433753465547 \tabularnewline
0.17 & -1891.45744488994 & 351.712525036572 \tabularnewline
0.175 & -1852.66034052887 & 361.715452740546 \tabularnewline
0.18 & -1813.26930920255 & 370.187054080438 \tabularnewline
0.185 & -1773.41023449862 & 376.929740926251 \tabularnewline
0.19 & -1733.22890799564 & 381.820124242563 \tabularnewline
0.195 & -1692.88482082130 & 384.79337024435 \tabularnewline
0.2 & -1652.54489201080 & 385.851903734452 \tabularnewline
0.205 & -1612.37743773396 & 385.053384404383 \tabularnewline
0.21 & -1572.54663479138 & 382.499318814128 \tabularnewline
0.215 & -1533.20767204578 & 378.338776171595 \tabularnewline
0.22 & -1494.50272029688 & 372.749717792522 \tabularnewline
0.225 & -1456.55778946876 & 365.931160348249 \tabularnewline
0.23 & -1419.48048587298 & 358.092806796970 \tabularnewline
0.235 & -1383.35863467670 & 349.449807581120 \tabularnewline
0.24 & -1348.25969536354 & 340.217114927689 \tabularnewline
0.245 & -1314.23087166724 & 330.599820000495 \tabularnewline
0.25 & -1281.29980197126 & 320.788601894682 \tabularnewline
0.255 & -1249.47571051335 & 310.962135282309 \tabularnewline
0.26 & -1218.75090235893 & 301.279945772937 \tabularnewline
0.265 & -1189.10249412426 & 291.886101629195 \tabularnewline
0.27 & -1160.49428582660 & 282.900619884163 \tabularnewline
0.275 & -1132.87869506821 & 274.43363363443 \tabularnewline
0.28 & -1106.19869129051 & 266.575261342518 \tabularnewline
0.285 & -1080.38968364585 & 259.395461556893 \tabularnewline
0.29 & -1055.38133008135 & 252.954920335766 \tabularnewline
0.295 & -1031.09924685070 & 247.294617027504 \tabularnewline
0.3 & -1007.46660656519 & 242.441338463887 \tabularnewline
0.305 & -984.40561907814 & 238.408745831492 \tabularnewline
0.31 & -961.838893221233 & 235.193844124120 \tabularnewline
0.315 & -939.690679105648 & 232.778046488473 \tabularnewline
0.32 & -917.887990882895 & 231.129361830103 \tabularnewline
0.325 & -896.36160907961 & 230.201698911551 \tabularnewline
0.33 & -875.046960394662 & 229.938264346759 \tabularnewline
0.335 & -853.884871624454 & 230.271419200080 \tabularnewline
0.34 & -832.822193513142 & 231.122121988066 \tabularnewline
0.345 & -811.812290048396 & 232.408923271593 \tabularnewline
0.35 & -790.815389167858 & 234.042619050014 \tabularnewline
0.355 & -769.798792031731 & 235.935257871487 \tabularnewline
0.36 & -748.736939890768 & 237.996042776864 \tabularnewline
0.365 & -727.611340007093 & 240.138996475232 \tabularnewline
0.37 & -706.410354892839 & 242.280584879052 \tabularnewline
0.375 & -685.12886211988 & 244.343541726828 \tabularnewline
0.38 & -663.76779491937 & 246.260084494852 \tabularnewline
0.385 & -642.333576541702 & 247.967920601316 \tabularnewline
0.39 & -620.837463720467 & 249.416363319545 \tabularnewline
0.395 & -599.294816448282 & 250.561529544123 \tabularnewline
0.4 & -577.72431253944 & 251.374828364693 \tabularnewline
0.405 & -556.147126079489 & 251.832766968545 \tabularnewline
0.41 & -534.586088843388 & 251.927878098265 \tabularnewline
0.415 & -513.064853139828 & 251.659148073808 \tabularnewline
0.42 & -491.607073381485 & 251.036428974764 \tabularnewline
0.425 & -470.235622087769 & 250.079036567597 \tabularnewline
0.43 & -448.971854114258 & 248.814733814969 \tabularnewline
0.435 & -427.8349307962 & 247.278225408309 \tabularnewline
0.44 & -406.841213516346 & 245.511914405435 \tabularnewline
0.445 & -386.003734074425 & 243.562078052649 \tabularnewline
0.45 & -365.331747244129 & 241.481464795901 \tabularnewline
0.455 & -344.830369127535 & 239.325887679102 \tabularnewline
0.46 & -324.500303402816 & 237.153054691891 \tabularnewline
0.465 & -304.337656325826 & 235.023154992610 \tabularnewline
0.47 & -284.333840377433 & 232.997714979708 \tabularnewline
0.475 & -264.475565707787 & 231.137703127054 \tabularnewline
0.48 & -244.74491795585 & 229.502491375265 \tabularnewline
0.485 & -225.119520542405 & 228.150481734442 \tabularnewline
0.49 & -205.572779065134 & 227.136006077877 \tabularnewline
0.495 & -186.074204884069 & 226.510429478412 \tabularnewline
0.5 & -166.589814303309 & 226.319496147184 \tabularnewline
0.505 & -147.082598876031 & 226.602469983742 \tabularnewline
0.51 & -127.513061253374 & 227.391388742838 \tabularnewline
0.515 & -107.839809660638 & 228.709562406601 \tabularnewline
0.52 & -88.0202025427927 & 230.571497148925 \tabularnewline
0.525 & -68.0110332315549 & 232.980507236379 \tabularnewline
0.53 & -47.7692427308095 & 235.929500749595 \tabularnewline
0.535 & -27.2526470000047 & 239.40055876676 \tabularnewline
0.54 & -6.42066355503338 & 243.364994733604 \tabularnewline
0.545 & 14.7649790721330 & 247.783663031396 \tabularnewline
0.55 & 36.3395663480734 & 252.607724100306 \tabularnewline
0.555 & 58.3347749202374 & 257.780210186995 \tabularnewline
0.56 & 80.7781194176112 & 263.237114212331 \tabularnewline
0.565 & 103.692485413285 & 268.908655637196 \tabularnewline
0.57 & 127.095763493878 & 274.721774974068 \tabularnewline
0.575 & 151.000597101088 & 280.601177551539 \tabularnewline
0.58 & 175.414253899384 & 286.471488874243 \tabularnewline
0.585 & 200.338626968886 & 292.259412630214 \tabularnewline
0.59 & 225.770368246404 & 297.894767235787 \tabularnewline
0.595 & 251.701152493146 & 303.312604586770 \tabularnewline
0.6 & 278.118065829851 & 308.455110613941 \tabularnewline
0.605 & 305.004108738828 & 313.271794322465 \tabularnewline
0.61 & 332.338799581808 & 317.721378047026 \tabularnewline
0.615 & 360.09886131189 & 321.773795179887 \tabularnewline
0.62 & 388.258971340899 & 325.407242680079 \tabularnewline
0.625 & 416.792552608068 & 328.612300965547 \tabularnewline
0.63 & 445.67258289539 & 331.389824261441 \tabularnewline
0.635 & 474.872399418499 & 333.751175645687 \tabularnewline
0.64 & 504.366476708526 & 335.716982478838 \tabularnewline
0.645 & 534.131157752965 & 337.318359864219 \tabularnewline
0.65 & 564.145321186431 & 338.591742106484 \tabularnewline
0.655 & 594.390970860833 & 339.582297771186 \tabularnewline
0.66 & 624.853738169536 & 340.339207097508 \tabularnewline
0.665 & 655.523291794175 & 340.914788356785 \tabularnewline
0.67 & 686.393653793384 & 341.364346525312 \tabularnewline
0.675 & 717.463424848001 & 341.744091847553 \tabularnewline
0.68 & 748.735924707884 & 342.108366457661 \tabularnewline
0.685 & 780.219256169829 & 342.509786831005 \tabularnewline
0.69 & 811.926302028532 & 342.999303487023 \tabularnewline
0.695 & 843.87466424376 & 343.624094023804 \tabularnewline
0.7 & 876.086553032339 & 344.428016197057 \tabularnewline
0.705 & 908.58863083855 & 345.451119683217 \tabularnewline
0.71 & 941.411812433206 & 346.730987449211 \tabularnewline
0.715 & 974.591018174658 & 348.301507217675 \tabularnewline
0.72 & 1008.16487332083 & 350.193753310686 \tabularnewline
0.725 & 1042.17534291838 & 352.434874305738 \tabularnewline
0.73 & 1076.66728999204 & 355.051097175566 \tabularnewline
0.735 & 1111.68794528690 & 358.062482871498 \tabularnewline
0.74 & 1147.28628035142 & 361.485941775143 \tabularnewline
0.745 & 1183.51228274495 & 365.329398898433 \tabularnewline
0.75 & 1220.41614273213 & 369.593176337740 \tabularnewline
0.755 & 1258.04737465411 & 374.267864543115 \tabularnewline
0.76 & 1296.45391235942 & 379.330627801383 \tabularnewline
0.765 & 1335.68123514499 & 384.742435445972 \tabularnewline
0.77 & 1375.77159650311 & 390.450515383958 \tabularnewline
0.775 & 1416.76343997457 & 396.388217592022 \tabularnewline
0.78 & 1458.69109160635 & 402.474361280498 \tabularnewline
0.785 & 1501.58481387543 & 408.619208229356 \tabularnewline
0.79 & 1545.47128875577 & 414.731006035876 \tabularnewline
0.795 & 1590.37456593989 & 420.719353388358 \tabularnewline
0.8 & 1636.31746543938 & 426.504754567135 \tabularnewline
0.805 & 1683.32336303046 & 432.031988869601 \tabularnewline
0.81 & 1731.41821565773 & 437.273668505316 \tabularnewline
0.815 & 1780.63260782463 & 442.235130774255 \tabularnewline
0.82 & 1831.00352755925 & 446.967519496388 \tabularnewline
0.825 & 1882.57552233396 & 451.555639979099 \tabularnewline
0.83 & 1935.40085344390 & 456.122367704484 \tabularnewline
0.835 & 1989.53827435162 & 460.807353329981 \tabularnewline
0.84 & 2045.05011588851 & 465.753346446105 \tabularnewline
0.845 & 2101.99747768833 & 471.076257430101 \tabularnewline
0.85 & 2160.43350487414 & 476.833076677071 \tabularnewline
0.855 & 2220.39496942761 & 482.994941327039 \tabularnewline
0.86 & 2281.89266652356 & 489.416316532002 \tabularnewline
0.865 & 2344.90145831948 & 495.819812871916 \tabularnewline
0.87 & 2409.35112335697 & 501.792487541801 \tabularnewline
0.875 & 2475.11946316666 & 506.801959248727 \tabularnewline
0.88 & 2542.02933748648 & 510.230205178204 \tabularnewline
0.885 & 2609.85140184739 & 511.422510803829 \tabularnewline
0.89 & 2678.31426400527 & 509.753801986036 \tabularnewline
0.895 & 2747.1235232371 & 504.702128809731 \tabularnewline
0.9 & 2815.99068487637 & 495.92673327697 \tabularnewline
0.905 & 2884.67224327845 & 483.348515359266 \tabularnewline
0.91 & 2953.01830822838 & 467.219839437387 \tabularnewline
0.915 & 3021.02903355731 & 448.194465850052 \tabularnewline
0.92 & 3088.91581132559 & 427.381787399852 \tabularnewline
0.925 & 3157.16270919905 & 406.389901362237 \tabularnewline
0.93 & 3226.58186981624 & 387.335624023453 \tabularnewline
0.935 & 3298.35436092214 & 372.78111922663 \tabularnewline
0.94 & 3374.04493776984 & 365.502165626556 \tabularnewline
0.945 & 3455.57498544376 & 368.011310053412 \tabularnewline
0.95 & 3545.13241898747 & 381.918790420718 \tabularnewline
0.955 & 3644.99123701815 & 407.456438729774 \tabularnewline
0.96 & 3757.20923217999 & 443.480615585164 \tabularnewline
0.965 & 3883.17544414017 & 487.916871862181 \tabularnewline
0.97 & 4022.99827756474 & 538.326812357552 \tabularnewline
0.975 & 4174.77240111448 & 592.317501800381 \tabularnewline
0.98 & 4333.84737965592 & 647.651451976255 \tabularnewline
0.985 & 4492.34182542829 & 701.98028422294 \tabularnewline
0.99 & 4639.2758904036 & 752.311769438361 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20608&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]-4512.51768286528[/C][C]1352.96713425338[/C][/ROW]
[ROW][C]0.015[/C][C]-4268.61282644216[/C][C]1187.45688177630[/C][/ROW]
[ROW][C]0.02[/C][C]-4014.46714755812[/C][C]1017.15997986199[/C][/ROW]
[ROW][C]0.025[/C][C]-3769.37477964153[/C][C]855.907200264316[/C][/ROW]
[ROW][C]0.03[/C][C]-3546.00262609489[/C][C]712.6461092517[/C][/ROW]
[ROW][C]0.035[/C][C]-3350.68040420163[/C][C]591.709322352427[/C][/ROW]
[ROW][C]0.04[/C][C]-3184.78400973801[/C][C]493.895147401907[/C][/ROW]
[ROW][C]0.045[/C][C]-3046.42828409787[/C][C]417.72099612244[/C][/ROW]
[ROW][C]0.05[/C][C]-2931.9869797894[/C][C]360.477005174997[/C][/ROW]
[ROW][C]0.055[/C][C]-2837.22923685488[/C][C]318.944057438648[/C][/ROW]
[ROW][C]0.06[/C][C]-2758.04600439336[/C][C]289.822653709526[/C][/ROW]
[ROW][C]0.065[/C][C]-2690.83542553005[/C][C]270.012249979837[/C][/ROW]
[ROW][C]0.07[/C][C]-2632.64695038871[/C][C]256.816314860846[/C][/ROW]
[ROW][C]0.075[/C][C]-2581.17754687125[/C][C]248.069357839855[/C][/ROW]
[ROW][C]0.08[/C][C]-2534.69156642131[/C][C]242.181770041685[/C][/ROW]
[ROW][C]0.085[/C][C]-2491.91189998467[/C][C]238.099383033633[/C][/ROW]
[ROW][C]0.09[/C][C]-2451.91028421961[/C][C]235.222105696447[/C][/ROW]
[ROW][C]0.095[/C][C]-2414.01069614509[/C][C]233.297685148373[/C][/ROW]
[ROW][C]0.1[/C][C]-2377.71110674502[/C][C]232.318761434173[/C][/ROW]
[ROW][C]0.105[/C][C]-2342.62405743571[/C][C]232.439030034302[/C][/ROW]
[ROW][C]0.11[/C][C]-2308.43419725676[/C][C]233.871260236603[/C][/ROW]
[ROW][C]0.115[/C][C]-2274.87001878616[/C][C]236.849615164792[/C][/ROW]
[ROW][C]0.12[/C][C]-2241.68686862169[/C][C]241.541344151025[/C][/ROW]
[ROW][C]0.125[/C][C]-2208.65848633697[/C][C]248.024416109715[/C][/ROW]
[ROW][C]0.13[/C][C]-2175.57463913271[/C][C]256.259947285613[/C][/ROW]
[ROW][C]0.135[/C][C]-2142.24277353504[/C][C]266.099012925647[/C][/ROW]
[ROW][C]0.14[/C][C]-2108.49196147964[/C][C]277.285676874691[/C][/ROW]
[ROW][C]0.145[/C][C]-2074.17776083511[/C][C]289.486221042461[/C][/ROW]
[ROW][C]0.15[/C][C]-2039.18693301646[/C][C]302.314885542936[/C][/ROW]
[ROW][C]0.155[/C][C]-2003.44125798233[/C][C]315.353783857532[/C][/ROW]
[ROW][C]0.16[/C][C]-1966.89995503996[/C][C]328.193937782629[/C][/ROW]
[ROW][C]0.165[/C][C]-1929.56045229085[/C][C]340.433753465547[/C][/ROW]
[ROW][C]0.17[/C][C]-1891.45744488994[/C][C]351.712525036572[/C][/ROW]
[ROW][C]0.175[/C][C]-1852.66034052887[/C][C]361.715452740546[/C][/ROW]
[ROW][C]0.18[/C][C]-1813.26930920255[/C][C]370.187054080438[/C][/ROW]
[ROW][C]0.185[/C][C]-1773.41023449862[/C][C]376.929740926251[/C][/ROW]
[ROW][C]0.19[/C][C]-1733.22890799564[/C][C]381.820124242563[/C][/ROW]
[ROW][C]0.195[/C][C]-1692.88482082130[/C][C]384.79337024435[/C][/ROW]
[ROW][C]0.2[/C][C]-1652.54489201080[/C][C]385.851903734452[/C][/ROW]
[ROW][C]0.205[/C][C]-1612.37743773396[/C][C]385.053384404383[/C][/ROW]
[ROW][C]0.21[/C][C]-1572.54663479138[/C][C]382.499318814128[/C][/ROW]
[ROW][C]0.215[/C][C]-1533.20767204578[/C][C]378.338776171595[/C][/ROW]
[ROW][C]0.22[/C][C]-1494.50272029688[/C][C]372.749717792522[/C][/ROW]
[ROW][C]0.225[/C][C]-1456.55778946876[/C][C]365.931160348249[/C][/ROW]
[ROW][C]0.23[/C][C]-1419.48048587298[/C][C]358.092806796970[/C][/ROW]
[ROW][C]0.235[/C][C]-1383.35863467670[/C][C]349.449807581120[/C][/ROW]
[ROW][C]0.24[/C][C]-1348.25969536354[/C][C]340.217114927689[/C][/ROW]
[ROW][C]0.245[/C][C]-1314.23087166724[/C][C]330.599820000495[/C][/ROW]
[ROW][C]0.25[/C][C]-1281.29980197126[/C][C]320.788601894682[/C][/ROW]
[ROW][C]0.255[/C][C]-1249.47571051335[/C][C]310.962135282309[/C][/ROW]
[ROW][C]0.26[/C][C]-1218.75090235893[/C][C]301.279945772937[/C][/ROW]
[ROW][C]0.265[/C][C]-1189.10249412426[/C][C]291.886101629195[/C][/ROW]
[ROW][C]0.27[/C][C]-1160.49428582660[/C][C]282.900619884163[/C][/ROW]
[ROW][C]0.275[/C][C]-1132.87869506821[/C][C]274.43363363443[/C][/ROW]
[ROW][C]0.28[/C][C]-1106.19869129051[/C][C]266.575261342518[/C][/ROW]
[ROW][C]0.285[/C][C]-1080.38968364585[/C][C]259.395461556893[/C][/ROW]
[ROW][C]0.29[/C][C]-1055.38133008135[/C][C]252.954920335766[/C][/ROW]
[ROW][C]0.295[/C][C]-1031.09924685070[/C][C]247.294617027504[/C][/ROW]
[ROW][C]0.3[/C][C]-1007.46660656519[/C][C]242.441338463887[/C][/ROW]
[ROW][C]0.305[/C][C]-984.40561907814[/C][C]238.408745831492[/C][/ROW]
[ROW][C]0.31[/C][C]-961.838893221233[/C][C]235.193844124120[/C][/ROW]
[ROW][C]0.315[/C][C]-939.690679105648[/C][C]232.778046488473[/C][/ROW]
[ROW][C]0.32[/C][C]-917.887990882895[/C][C]231.129361830103[/C][/ROW]
[ROW][C]0.325[/C][C]-896.36160907961[/C][C]230.201698911551[/C][/ROW]
[ROW][C]0.33[/C][C]-875.046960394662[/C][C]229.938264346759[/C][/ROW]
[ROW][C]0.335[/C][C]-853.884871624454[/C][C]230.271419200080[/C][/ROW]
[ROW][C]0.34[/C][C]-832.822193513142[/C][C]231.122121988066[/C][/ROW]
[ROW][C]0.345[/C][C]-811.812290048396[/C][C]232.408923271593[/C][/ROW]
[ROW][C]0.35[/C][C]-790.815389167858[/C][C]234.042619050014[/C][/ROW]
[ROW][C]0.355[/C][C]-769.798792031731[/C][C]235.935257871487[/C][/ROW]
[ROW][C]0.36[/C][C]-748.736939890768[/C][C]237.996042776864[/C][/ROW]
[ROW][C]0.365[/C][C]-727.611340007093[/C][C]240.138996475232[/C][/ROW]
[ROW][C]0.37[/C][C]-706.410354892839[/C][C]242.280584879052[/C][/ROW]
[ROW][C]0.375[/C][C]-685.12886211988[/C][C]244.343541726828[/C][/ROW]
[ROW][C]0.38[/C][C]-663.76779491937[/C][C]246.260084494852[/C][/ROW]
[ROW][C]0.385[/C][C]-642.333576541702[/C][C]247.967920601316[/C][/ROW]
[ROW][C]0.39[/C][C]-620.837463720467[/C][C]249.416363319545[/C][/ROW]
[ROW][C]0.395[/C][C]-599.294816448282[/C][C]250.561529544123[/C][/ROW]
[ROW][C]0.4[/C][C]-577.72431253944[/C][C]251.374828364693[/C][/ROW]
[ROW][C]0.405[/C][C]-556.147126079489[/C][C]251.832766968545[/C][/ROW]
[ROW][C]0.41[/C][C]-534.586088843388[/C][C]251.927878098265[/C][/ROW]
[ROW][C]0.415[/C][C]-513.064853139828[/C][C]251.659148073808[/C][/ROW]
[ROW][C]0.42[/C][C]-491.607073381485[/C][C]251.036428974764[/C][/ROW]
[ROW][C]0.425[/C][C]-470.235622087769[/C][C]250.079036567597[/C][/ROW]
[ROW][C]0.43[/C][C]-448.971854114258[/C][C]248.814733814969[/C][/ROW]
[ROW][C]0.435[/C][C]-427.8349307962[/C][C]247.278225408309[/C][/ROW]
[ROW][C]0.44[/C][C]-406.841213516346[/C][C]245.511914405435[/C][/ROW]
[ROW][C]0.445[/C][C]-386.003734074425[/C][C]243.562078052649[/C][/ROW]
[ROW][C]0.45[/C][C]-365.331747244129[/C][C]241.481464795901[/C][/ROW]
[ROW][C]0.455[/C][C]-344.830369127535[/C][C]239.325887679102[/C][/ROW]
[ROW][C]0.46[/C][C]-324.500303402816[/C][C]237.153054691891[/C][/ROW]
[ROW][C]0.465[/C][C]-304.337656325826[/C][C]235.023154992610[/C][/ROW]
[ROW][C]0.47[/C][C]-284.333840377433[/C][C]232.997714979708[/C][/ROW]
[ROW][C]0.475[/C][C]-264.475565707787[/C][C]231.137703127054[/C][/ROW]
[ROW][C]0.48[/C][C]-244.74491795585[/C][C]229.502491375265[/C][/ROW]
[ROW][C]0.485[/C][C]-225.119520542405[/C][C]228.150481734442[/C][/ROW]
[ROW][C]0.49[/C][C]-205.572779065134[/C][C]227.136006077877[/C][/ROW]
[ROW][C]0.495[/C][C]-186.074204884069[/C][C]226.510429478412[/C][/ROW]
[ROW][C]0.5[/C][C]-166.589814303309[/C][C]226.319496147184[/C][/ROW]
[ROW][C]0.505[/C][C]-147.082598876031[/C][C]226.602469983742[/C][/ROW]
[ROW][C]0.51[/C][C]-127.513061253374[/C][C]227.391388742838[/C][/ROW]
[ROW][C]0.515[/C][C]-107.839809660638[/C][C]228.709562406601[/C][/ROW]
[ROW][C]0.52[/C][C]-88.0202025427927[/C][C]230.571497148925[/C][/ROW]
[ROW][C]0.525[/C][C]-68.0110332315549[/C][C]232.980507236379[/C][/ROW]
[ROW][C]0.53[/C][C]-47.7692427308095[/C][C]235.929500749595[/C][/ROW]
[ROW][C]0.535[/C][C]-27.2526470000047[/C][C]239.40055876676[/C][/ROW]
[ROW][C]0.54[/C][C]-6.42066355503338[/C][C]243.364994733604[/C][/ROW]
[ROW][C]0.545[/C][C]14.7649790721330[/C][C]247.783663031396[/C][/ROW]
[ROW][C]0.55[/C][C]36.3395663480734[/C][C]252.607724100306[/C][/ROW]
[ROW][C]0.555[/C][C]58.3347749202374[/C][C]257.780210186995[/C][/ROW]
[ROW][C]0.56[/C][C]80.7781194176112[/C][C]263.237114212331[/C][/ROW]
[ROW][C]0.565[/C][C]103.692485413285[/C][C]268.908655637196[/C][/ROW]
[ROW][C]0.57[/C][C]127.095763493878[/C][C]274.721774974068[/C][/ROW]
[ROW][C]0.575[/C][C]151.000597101088[/C][C]280.601177551539[/C][/ROW]
[ROW][C]0.58[/C][C]175.414253899384[/C][C]286.471488874243[/C][/ROW]
[ROW][C]0.585[/C][C]200.338626968886[/C][C]292.259412630214[/C][/ROW]
[ROW][C]0.59[/C][C]225.770368246404[/C][C]297.894767235787[/C][/ROW]
[ROW][C]0.595[/C][C]251.701152493146[/C][C]303.312604586770[/C][/ROW]
[ROW][C]0.6[/C][C]278.118065829851[/C][C]308.455110613941[/C][/ROW]
[ROW][C]0.605[/C][C]305.004108738828[/C][C]313.271794322465[/C][/ROW]
[ROW][C]0.61[/C][C]332.338799581808[/C][C]317.721378047026[/C][/ROW]
[ROW][C]0.615[/C][C]360.09886131189[/C][C]321.773795179887[/C][/ROW]
[ROW][C]0.62[/C][C]388.258971340899[/C][C]325.407242680079[/C][/ROW]
[ROW][C]0.625[/C][C]416.792552608068[/C][C]328.612300965547[/C][/ROW]
[ROW][C]0.63[/C][C]445.67258289539[/C][C]331.389824261441[/C][/ROW]
[ROW][C]0.635[/C][C]474.872399418499[/C][C]333.751175645687[/C][/ROW]
[ROW][C]0.64[/C][C]504.366476708526[/C][C]335.716982478838[/C][/ROW]
[ROW][C]0.645[/C][C]534.131157752965[/C][C]337.318359864219[/C][/ROW]
[ROW][C]0.65[/C][C]564.145321186431[/C][C]338.591742106484[/C][/ROW]
[ROW][C]0.655[/C][C]594.390970860833[/C][C]339.582297771186[/C][/ROW]
[ROW][C]0.66[/C][C]624.853738169536[/C][C]340.339207097508[/C][/ROW]
[ROW][C]0.665[/C][C]655.523291794175[/C][C]340.914788356785[/C][/ROW]
[ROW][C]0.67[/C][C]686.393653793384[/C][C]341.364346525312[/C][/ROW]
[ROW][C]0.675[/C][C]717.463424848001[/C][C]341.744091847553[/C][/ROW]
[ROW][C]0.68[/C][C]748.735924707884[/C][C]342.108366457661[/C][/ROW]
[ROW][C]0.685[/C][C]780.219256169829[/C][C]342.509786831005[/C][/ROW]
[ROW][C]0.69[/C][C]811.926302028532[/C][C]342.999303487023[/C][/ROW]
[ROW][C]0.695[/C][C]843.87466424376[/C][C]343.624094023804[/C][/ROW]
[ROW][C]0.7[/C][C]876.086553032339[/C][C]344.428016197057[/C][/ROW]
[ROW][C]0.705[/C][C]908.58863083855[/C][C]345.451119683217[/C][/ROW]
[ROW][C]0.71[/C][C]941.411812433206[/C][C]346.730987449211[/C][/ROW]
[ROW][C]0.715[/C][C]974.591018174658[/C][C]348.301507217675[/C][/ROW]
[ROW][C]0.72[/C][C]1008.16487332083[/C][C]350.193753310686[/C][/ROW]
[ROW][C]0.725[/C][C]1042.17534291838[/C][C]352.434874305738[/C][/ROW]
[ROW][C]0.73[/C][C]1076.66728999204[/C][C]355.051097175566[/C][/ROW]
[ROW][C]0.735[/C][C]1111.68794528690[/C][C]358.062482871498[/C][/ROW]
[ROW][C]0.74[/C][C]1147.28628035142[/C][C]361.485941775143[/C][/ROW]
[ROW][C]0.745[/C][C]1183.51228274495[/C][C]365.329398898433[/C][/ROW]
[ROW][C]0.75[/C][C]1220.41614273213[/C][C]369.593176337740[/C][/ROW]
[ROW][C]0.755[/C][C]1258.04737465411[/C][C]374.267864543115[/C][/ROW]
[ROW][C]0.76[/C][C]1296.45391235942[/C][C]379.330627801383[/C][/ROW]
[ROW][C]0.765[/C][C]1335.68123514499[/C][C]384.742435445972[/C][/ROW]
[ROW][C]0.77[/C][C]1375.77159650311[/C][C]390.450515383958[/C][/ROW]
[ROW][C]0.775[/C][C]1416.76343997457[/C][C]396.388217592022[/C][/ROW]
[ROW][C]0.78[/C][C]1458.69109160635[/C][C]402.474361280498[/C][/ROW]
[ROW][C]0.785[/C][C]1501.58481387543[/C][C]408.619208229356[/C][/ROW]
[ROW][C]0.79[/C][C]1545.47128875577[/C][C]414.731006035876[/C][/ROW]
[ROW][C]0.795[/C][C]1590.37456593989[/C][C]420.719353388358[/C][/ROW]
[ROW][C]0.8[/C][C]1636.31746543938[/C][C]426.504754567135[/C][/ROW]
[ROW][C]0.805[/C][C]1683.32336303046[/C][C]432.031988869601[/C][/ROW]
[ROW][C]0.81[/C][C]1731.41821565773[/C][C]437.273668505316[/C][/ROW]
[ROW][C]0.815[/C][C]1780.63260782463[/C][C]442.235130774255[/C][/ROW]
[ROW][C]0.82[/C][C]1831.00352755925[/C][C]446.967519496388[/C][/ROW]
[ROW][C]0.825[/C][C]1882.57552233396[/C][C]451.555639979099[/C][/ROW]
[ROW][C]0.83[/C][C]1935.40085344390[/C][C]456.122367704484[/C][/ROW]
[ROW][C]0.835[/C][C]1989.53827435162[/C][C]460.807353329981[/C][/ROW]
[ROW][C]0.84[/C][C]2045.05011588851[/C][C]465.753346446105[/C][/ROW]
[ROW][C]0.845[/C][C]2101.99747768833[/C][C]471.076257430101[/C][/ROW]
[ROW][C]0.85[/C][C]2160.43350487414[/C][C]476.833076677071[/C][/ROW]
[ROW][C]0.855[/C][C]2220.39496942761[/C][C]482.994941327039[/C][/ROW]
[ROW][C]0.86[/C][C]2281.89266652356[/C][C]489.416316532002[/C][/ROW]
[ROW][C]0.865[/C][C]2344.90145831948[/C][C]495.819812871916[/C][/ROW]
[ROW][C]0.87[/C][C]2409.35112335697[/C][C]501.792487541801[/C][/ROW]
[ROW][C]0.875[/C][C]2475.11946316666[/C][C]506.801959248727[/C][/ROW]
[ROW][C]0.88[/C][C]2542.02933748648[/C][C]510.230205178204[/C][/ROW]
[ROW][C]0.885[/C][C]2609.85140184739[/C][C]511.422510803829[/C][/ROW]
[ROW][C]0.89[/C][C]2678.31426400527[/C][C]509.753801986036[/C][/ROW]
[ROW][C]0.895[/C][C]2747.1235232371[/C][C]504.702128809731[/C][/ROW]
[ROW][C]0.9[/C][C]2815.99068487637[/C][C]495.92673327697[/C][/ROW]
[ROW][C]0.905[/C][C]2884.67224327845[/C][C]483.348515359266[/C][/ROW]
[ROW][C]0.91[/C][C]2953.01830822838[/C][C]467.219839437387[/C][/ROW]
[ROW][C]0.915[/C][C]3021.02903355731[/C][C]448.194465850052[/C][/ROW]
[ROW][C]0.92[/C][C]3088.91581132559[/C][C]427.381787399852[/C][/ROW]
[ROW][C]0.925[/C][C]3157.16270919905[/C][C]406.389901362237[/C][/ROW]
[ROW][C]0.93[/C][C]3226.58186981624[/C][C]387.335624023453[/C][/ROW]
[ROW][C]0.935[/C][C]3298.35436092214[/C][C]372.78111922663[/C][/ROW]
[ROW][C]0.94[/C][C]3374.04493776984[/C][C]365.502165626556[/C][/ROW]
[ROW][C]0.945[/C][C]3455.57498544376[/C][C]368.011310053412[/C][/ROW]
[ROW][C]0.95[/C][C]3545.13241898747[/C][C]381.918790420718[/C][/ROW]
[ROW][C]0.955[/C][C]3644.99123701815[/C][C]407.456438729774[/C][/ROW]
[ROW][C]0.96[/C][C]3757.20923217999[/C][C]443.480615585164[/C][/ROW]
[ROW][C]0.965[/C][C]3883.17544414017[/C][C]487.916871862181[/C][/ROW]
[ROW][C]0.97[/C][C]4022.99827756474[/C][C]538.326812357552[/C][/ROW]
[ROW][C]0.975[/C][C]4174.77240111448[/C][C]592.317501800381[/C][/ROW]
[ROW][C]0.98[/C][C]4333.84737965592[/C][C]647.651451976255[/C][/ROW]
[ROW][C]0.985[/C][C]4492.34182542829[/C][C]701.98028422294[/C][/ROW]
[ROW][C]0.99[/C][C]4639.2758904036[/C][C]752.311769438361[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20608&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
0.01-4512.517682865281352.96713425338
0.015-4268.612826442161187.45688177630
0.02-4014.467147558121017.15997986199
0.025-3769.37477964153855.907200264316
0.03-3546.00262609489712.6461092517
0.035-3350.68040420163591.709322352427
0.04-3184.78400973801493.895147401907
0.045-3046.42828409787417.72099612244
0.05-2931.9869797894360.477005174997
0.055-2837.22923685488318.944057438648
0.06-2758.04600439336289.822653709526
0.065-2690.83542553005270.012249979837
0.07-2632.64695038871256.816314860846
0.075-2581.17754687125248.069357839855
0.08-2534.69156642131242.181770041685
0.085-2491.91189998467238.099383033633
0.09-2451.91028421961235.222105696447
0.095-2414.01069614509233.297685148373
0.1-2377.71110674502232.318761434173
0.105-2342.62405743571232.439030034302
0.11-2308.43419725676233.871260236603
0.115-2274.87001878616236.849615164792
0.12-2241.68686862169241.541344151025
0.125-2208.65848633697248.024416109715
0.13-2175.57463913271256.259947285613
0.135-2142.24277353504266.099012925647
0.14-2108.49196147964277.285676874691
0.145-2074.17776083511289.486221042461
0.15-2039.18693301646302.314885542936
0.155-2003.44125798233315.353783857532
0.16-1966.89995503996328.193937782629
0.165-1929.56045229085340.433753465547
0.17-1891.45744488994351.712525036572
0.175-1852.66034052887361.715452740546
0.18-1813.26930920255370.187054080438
0.185-1773.41023449862376.929740926251
0.19-1733.22890799564381.820124242563
0.195-1692.88482082130384.79337024435
0.2-1652.54489201080385.851903734452
0.205-1612.37743773396385.053384404383
0.21-1572.54663479138382.499318814128
0.215-1533.20767204578378.338776171595
0.22-1494.50272029688372.749717792522
0.225-1456.55778946876365.931160348249
0.23-1419.48048587298358.092806796970
0.235-1383.35863467670349.449807581120
0.24-1348.25969536354340.217114927689
0.245-1314.23087166724330.599820000495
0.25-1281.29980197126320.788601894682
0.255-1249.47571051335310.962135282309
0.26-1218.75090235893301.279945772937
0.265-1189.10249412426291.886101629195
0.27-1160.49428582660282.900619884163
0.275-1132.87869506821274.43363363443
0.28-1106.19869129051266.575261342518
0.285-1080.38968364585259.395461556893
0.29-1055.38133008135252.954920335766
0.295-1031.09924685070247.294617027504
0.3-1007.46660656519242.441338463887
0.305-984.40561907814238.408745831492
0.31-961.838893221233235.193844124120
0.315-939.690679105648232.778046488473
0.32-917.887990882895231.129361830103
0.325-896.36160907961230.201698911551
0.33-875.046960394662229.938264346759
0.335-853.884871624454230.271419200080
0.34-832.822193513142231.122121988066
0.345-811.812290048396232.408923271593
0.35-790.815389167858234.042619050014
0.355-769.798792031731235.935257871487
0.36-748.736939890768237.996042776864
0.365-727.611340007093240.138996475232
0.37-706.410354892839242.280584879052
0.375-685.12886211988244.343541726828
0.38-663.76779491937246.260084494852
0.385-642.333576541702247.967920601316
0.39-620.837463720467249.416363319545
0.395-599.294816448282250.561529544123
0.4-577.72431253944251.374828364693
0.405-556.147126079489251.832766968545
0.41-534.586088843388251.927878098265
0.415-513.064853139828251.659148073808
0.42-491.607073381485251.036428974764
0.425-470.235622087769250.079036567597
0.43-448.971854114258248.814733814969
0.435-427.8349307962247.278225408309
0.44-406.841213516346245.511914405435
0.445-386.003734074425243.562078052649
0.45-365.331747244129241.481464795901
0.455-344.830369127535239.325887679102
0.46-324.500303402816237.153054691891
0.465-304.337656325826235.023154992610
0.47-284.333840377433232.997714979708
0.475-264.475565707787231.137703127054
0.48-244.74491795585229.502491375265
0.485-225.119520542405228.150481734442
0.49-205.572779065134227.136006077877
0.495-186.074204884069226.510429478412
0.5-166.589814303309226.319496147184
0.505-147.082598876031226.602469983742
0.51-127.513061253374227.391388742838
0.515-107.839809660638228.709562406601
0.52-88.0202025427927230.571497148925
0.525-68.0110332315549232.980507236379
0.53-47.7692427308095235.929500749595
0.535-27.2526470000047239.40055876676
0.54-6.42066355503338243.364994733604
0.54514.7649790721330247.783663031396
0.5536.3395663480734252.607724100306
0.55558.3347749202374257.780210186995
0.5680.7781194176112263.237114212331
0.565103.692485413285268.908655637196
0.57127.095763493878274.721774974068
0.575151.000597101088280.601177551539
0.58175.414253899384286.471488874243
0.585200.338626968886292.259412630214
0.59225.770368246404297.894767235787
0.595251.701152493146303.312604586770
0.6278.118065829851308.455110613941
0.605305.004108738828313.271794322465
0.61332.338799581808317.721378047026
0.615360.09886131189321.773795179887
0.62388.258971340899325.407242680079
0.625416.792552608068328.612300965547
0.63445.67258289539331.389824261441
0.635474.872399418499333.751175645687
0.64504.366476708526335.716982478838
0.645534.131157752965337.318359864219
0.65564.145321186431338.591742106484
0.655594.390970860833339.582297771186
0.66624.853738169536340.339207097508
0.665655.523291794175340.914788356785
0.67686.393653793384341.364346525312
0.675717.463424848001341.744091847553
0.68748.735924707884342.108366457661
0.685780.219256169829342.509786831005
0.69811.926302028532342.999303487023
0.695843.87466424376343.624094023804
0.7876.086553032339344.428016197057
0.705908.58863083855345.451119683217
0.71941.411812433206346.730987449211
0.715974.591018174658348.301507217675
0.721008.16487332083350.193753310686
0.7251042.17534291838352.434874305738
0.731076.66728999204355.051097175566
0.7351111.68794528690358.062482871498
0.741147.28628035142361.485941775143
0.7451183.51228274495365.329398898433
0.751220.41614273213369.593176337740
0.7551258.04737465411374.267864543115
0.761296.45391235942379.330627801383
0.7651335.68123514499384.742435445972
0.771375.77159650311390.450515383958
0.7751416.76343997457396.388217592022
0.781458.69109160635402.474361280498
0.7851501.58481387543408.619208229356
0.791545.47128875577414.731006035876
0.7951590.37456593989420.719353388358
0.81636.31746543938426.504754567135
0.8051683.32336303046432.031988869601
0.811731.41821565773437.273668505316
0.8151780.63260782463442.235130774255
0.821831.00352755925446.967519496388
0.8251882.57552233396451.555639979099
0.831935.40085344390456.122367704484
0.8351989.53827435162460.807353329981
0.842045.05011588851465.753346446105
0.8452101.99747768833471.076257430101
0.852160.43350487414476.833076677071
0.8552220.39496942761482.994941327039
0.862281.89266652356489.416316532002
0.8652344.90145831948495.819812871916
0.872409.35112335697501.792487541801
0.8752475.11946316666506.801959248727
0.882542.02933748648510.230205178204
0.8852609.85140184739511.422510803829
0.892678.31426400527509.753801986036
0.8952747.1235232371504.702128809731
0.92815.99068487637495.92673327697
0.9052884.67224327845483.348515359266
0.912953.01830822838467.219839437387
0.9153021.02903355731448.194465850052
0.923088.91581132559427.381787399852
0.9253157.16270919905406.389901362237
0.933226.58186981624387.335624023453
0.9353298.35436092214372.78111922663
0.943374.04493776984365.502165626556
0.9453455.57498544376368.011310053412
0.953545.13241898747381.918790420718
0.9553644.99123701815407.456438729774
0.963757.20923217999443.480615585164
0.9653883.17544414017487.916871862181
0.974022.99827756474538.326812357552
0.9754174.77240111448592.317501800381
0.984333.84737965592647.651451976255
0.9854492.34182542829701.98028422294
0.994639.2758904036752.311769438361


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
x <- x - 13970.2049180328
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')