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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 02:49:25 -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/2010/Mar/10/t1268214602gxcaumokx0u89wi.htm/, Retrieved Tue, 16 Apr 2024 09:15:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74245, Retrieved Tue, 16 Apr 2024 09:15:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact156

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] [] [2010-03-10 09:49:25] [34252ed26d999a27212450e9b83760c6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1772.2
1769.5
1768
1794.8
1823.4
1856.9
1866.9
1869.8
1843.8
1837.1
1857.7
1840.3
1914.6
1972.9
2050.1
2086.2
2112.5
2147.6
2190.4
2194.1
2216.2
2218.6
2233.5
2307.2
2350.4
2368.2
2353.8
2316.5
2305.5
2308.4
2334.4
2381.2
2449.7
2490.3
2523.5
2537.6
2526.1
2545.9
2542.7
2584.3
2600.2
2593.9
2618.9
2591.3
2521.2
2536.6
2596.1
2656.6
2710.3
2778.8
2775.5
2785.2
2847.7
2834.4
2839
2802.6
2819.3
2872
2918.4
2977.8
3031.2
3064.7
3093
3100.6
3141.1
3180.4
3240.3
3265
3338.2
3376.6
3422.5
3432
3516.3
3564
3636.3
3724
3815.4
3828.1
3853.3
3884.5
3918.7
3919.6
3950.8
3981
4063
4132
4160.3
4178.3
4244.1
4256.5
4283.4
4263.3
4256.6
4264.3
4302.3
4256.6
4374
4398.8
4433.9
4446.3
4525.8
4633.1
4677.5
4754.5
4876.2
4932.6
4906.3
4953.1
4909.6
4922.2
4873.5
4854.3
4795.3
4831.9
4913.3
4977.5
5090.7
5128.9
5154.1
5191.5
5251.8
5356.1
5451.9
5450.8
5469.4
5684.6
5740.3
5816.2
5825.9
5831.4
5873.3
5889.5
5908.5
5787.4
5776.6
5883.5
6005.7
5957.8
6030.2
5955.1
5857.3
5889.1
5866.4
5871
5944
6077.6
6197.5
6325.6
6448.3
6559.6
6623.3
6677.3
6740.3
6797.3
6903.5
6955.9
7022.8
7051
7119
7153.4
7193
7269.5
7332.6
7458
7496.6
7592.9
7632.1
7734
7806.6
7865
7927.4
7944.7
8027.7
8059.6
8059.5
7988.9
7950.2
8003.8
8037.5
8069
8157.6
8244.3
8329.4
8417
8432.5
8486.4
8531.1
8643.8
8727.9
8847.3
8904.3
9003.2
9025.3
9044.7
9120.7
9184.3
9247.2
9407.1
9488.9
9592.5
9666.2
9809.6
9932.7
10008.9
10103.4
10194.3
10328.8
10507.6
10601.2
10684
10819.9
11014.3
11043
11258.5
11267.9
11334.5
11297.2
11371.3
11340.1
11380.1
11477.9
11538.8
11596.4
11598.8
11645.8
11738.7
11935.5
12042.8
12127.6
12213.8
12303.5
12410.3
12534.1
12587.5
12683.2
12748.7
12915.9
12962.5
12965.9
13060.7
13099.9
13204
13321.1
13391.2
13366.9
13415.3
13324.6
13141.9
12925.4
12901.5
12973
13155

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=74245&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=74245&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74245&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
0.011783.6722755544721.4257309323540
0.021819.0340977237626.8385672000455
0.031851.1058731517633.0713738616691
0.041892.433227072468.1269054664618
0.051958.83248324133107.525149765545
0.062042.51998295372121.633040829230
0.072124.0910579134111.319255555904
0.082192.7094987144295.598196900376
0.092249.1386159970585.8315566455414
0.12298.4796436284883.5779186838416
0.112345.3426646469987.1807209082101
0.122392.2255494199292.1276893678419
0.132438.9381583993592.9965703885308
0.142483.6128589964988.8598609687512
0.152525.1339396673584.6459625499424
0.162564.7438093244086.4925422468662
0.172605.409243868896.1669044135752
0.182649.93779246445110.631859619448
0.192699.71356803683125.991835088938
0.22754.88600923080140.865975950706
0.212815.42614419918156.826456016794
0.222881.92654437807176.062041402165
0.232955.55581032463199.217933234099
0.243037.44912297005224.982579713459
0.253128.14530301376251.307153231865
0.263227.34574515957275.936839734078
0.273333.86559231514296.426060908940
0.283445.63112948130310.17632580169
0.293559.79908855216315.096839567134
0.33673.14041746031310.690050104993
0.313782.6450863119298.415940782884
0.323886.11151569032281.232251363243
0.333982.51112099784262.699081400183
0.344072.09959385564246.433697207424
0.354156.3409870859235.783497428208
0.364237.62875046889233.155602323355
0.374318.70786005824238.705479203481
0.384401.83234035588249.532157169815
0.394487.98095169656260.541252633806
0.44576.60725425498267.159775458078
0.414666.19060343716267.89001482907
0.424755.37020564031265.389096668072
0.434844.03083746834265.121692103317
0.444933.67835535173272.2728943678
0.455026.82932288616288.352017560387
0.465125.69207456957309.731185744092
0.475230.8039563995329.063848405378
0.485340.31681394549338.544003029144
0.495450.31604471818333.207283977035
0.55556.09761427971313.064582661201
0.515653.9250490091283.748020727110
0.525742.59847191762254.991623445364
0.535824.24229958925237.814783987919
0.545904.00494915542241.027953119677
0.555988.7436303315267.309338409781
0.566085.11398526168312.04039388322
0.576197.70130282041365.569768005109
0.586327.84401683753416.796060661915
0.596473.56361411362456.59549442392
0.66630.56451380093480.433935858077
0.616793.78488231996488.845466474672
0.626958.7396400919485.503615242482
0.637122.0830803139474.297283846067
0.647281.3492966309457.071570128525
0.657434.3712805188433.764634870114
0.667579.0656205255404.409535744442
0.677713.95714633353371.679160803594
0.687839.20717851786341.744576737832
0.697957.42588537905322.705427660879
0.78073.55827439347320.650834484869
0.718193.6688739799336.255766429444
0.728323.16571955889364.468282041486
0.738465.4064430907397.45918144707
0.748621.43092506102428.985117237375
0.758790.8818319417457.025344555805
0.768973.43887832142483.611493985053
0.779169.78620021298512.26100054847
0.789381.47830540184544.257513562555
0.799609.81250045485576.991011125827
0.89854.33785902682604.44897004377
0.8110111.5588292543618.571839078318
0.8210374.1190581330610.665897997661
0.8310630.9748400366574.052939290464
0.8410869.5741727634509.344631465084
0.8511080.5202176445429.347256983948
0.8611263.0005011881357.737129058629
0.8711427.2297127240318.684044870046
0.8811590.9923844478321.428189502078
0.8911771.1778541491351.762196767056
0.911975.0900989205381.766044551927
0.9112196.9955735185387.779967500644
0.9212421.1785238138360.259300726089
0.9312627.5173837200300.855296336132
0.9412798.0060065537221.102650994141
0.9512927.8605046305149.427012629766
0.9613032.9290440044114.143606164237
0.9713137.5324257827106.905701855122
0.9813252.620338757397.8677092346761
0.9913356.178988002154.145487541419

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1783.67227555447 & 21.4257309323540 \tabularnewline
0.02 & 1819.03409772376 & 26.8385672000455 \tabularnewline
0.03 & 1851.10587315176 & 33.0713738616691 \tabularnewline
0.04 & 1892.4332270724 & 68.1269054664618 \tabularnewline
0.05 & 1958.83248324133 & 107.525149765545 \tabularnewline
0.06 & 2042.51998295372 & 121.633040829230 \tabularnewline
0.07 & 2124.0910579134 & 111.319255555904 \tabularnewline
0.08 & 2192.70949871442 & 95.598196900376 \tabularnewline
0.09 & 2249.13861599705 & 85.8315566455414 \tabularnewline
0.1 & 2298.47964362848 & 83.5779186838416 \tabularnewline
0.11 & 2345.34266464699 & 87.1807209082101 \tabularnewline
0.12 & 2392.22554941992 & 92.1276893678419 \tabularnewline
0.13 & 2438.93815839935 & 92.9965703885308 \tabularnewline
0.14 & 2483.61285899649 & 88.8598609687512 \tabularnewline
0.15 & 2525.13393966735 & 84.6459625499424 \tabularnewline
0.16 & 2564.74380932440 & 86.4925422468662 \tabularnewline
0.17 & 2605.4092438688 & 96.1669044135752 \tabularnewline
0.18 & 2649.93779246445 & 110.631859619448 \tabularnewline
0.19 & 2699.71356803683 & 125.991835088938 \tabularnewline
0.2 & 2754.88600923080 & 140.865975950706 \tabularnewline
0.21 & 2815.42614419918 & 156.826456016794 \tabularnewline
0.22 & 2881.92654437807 & 176.062041402165 \tabularnewline
0.23 & 2955.55581032463 & 199.217933234099 \tabularnewline
0.24 & 3037.44912297005 & 224.982579713459 \tabularnewline
0.25 & 3128.14530301376 & 251.307153231865 \tabularnewline
0.26 & 3227.34574515957 & 275.936839734078 \tabularnewline
0.27 & 3333.86559231514 & 296.426060908940 \tabularnewline
0.28 & 3445.63112948130 & 310.17632580169 \tabularnewline
0.29 & 3559.79908855216 & 315.096839567134 \tabularnewline
0.3 & 3673.14041746031 & 310.690050104993 \tabularnewline
0.31 & 3782.6450863119 & 298.415940782884 \tabularnewline
0.32 & 3886.11151569032 & 281.232251363243 \tabularnewline
0.33 & 3982.51112099784 & 262.699081400183 \tabularnewline
0.34 & 4072.09959385564 & 246.433697207424 \tabularnewline
0.35 & 4156.3409870859 & 235.783497428208 \tabularnewline
0.36 & 4237.62875046889 & 233.155602323355 \tabularnewline
0.37 & 4318.70786005824 & 238.705479203481 \tabularnewline
0.38 & 4401.83234035588 & 249.532157169815 \tabularnewline
0.39 & 4487.98095169656 & 260.541252633806 \tabularnewline
0.4 & 4576.60725425498 & 267.159775458078 \tabularnewline
0.41 & 4666.19060343716 & 267.89001482907 \tabularnewline
0.42 & 4755.37020564031 & 265.389096668072 \tabularnewline
0.43 & 4844.03083746834 & 265.121692103317 \tabularnewline
0.44 & 4933.67835535173 & 272.2728943678 \tabularnewline
0.45 & 5026.82932288616 & 288.352017560387 \tabularnewline
0.46 & 5125.69207456957 & 309.731185744092 \tabularnewline
0.47 & 5230.8039563995 & 329.063848405378 \tabularnewline
0.48 & 5340.31681394549 & 338.544003029144 \tabularnewline
0.49 & 5450.31604471818 & 333.207283977035 \tabularnewline
0.5 & 5556.09761427971 & 313.064582661201 \tabularnewline
0.51 & 5653.9250490091 & 283.748020727110 \tabularnewline
0.52 & 5742.59847191762 & 254.991623445364 \tabularnewline
0.53 & 5824.24229958925 & 237.814783987919 \tabularnewline
0.54 & 5904.00494915542 & 241.027953119677 \tabularnewline
0.55 & 5988.7436303315 & 267.309338409781 \tabularnewline
0.56 & 6085.11398526168 & 312.04039388322 \tabularnewline
0.57 & 6197.70130282041 & 365.569768005109 \tabularnewline
0.58 & 6327.84401683753 & 416.796060661915 \tabularnewline
0.59 & 6473.56361411362 & 456.59549442392 \tabularnewline
0.6 & 6630.56451380093 & 480.433935858077 \tabularnewline
0.61 & 6793.78488231996 & 488.845466474672 \tabularnewline
0.62 & 6958.7396400919 & 485.503615242482 \tabularnewline
0.63 & 7122.0830803139 & 474.297283846067 \tabularnewline
0.64 & 7281.3492966309 & 457.071570128525 \tabularnewline
0.65 & 7434.3712805188 & 433.764634870114 \tabularnewline
0.66 & 7579.0656205255 & 404.409535744442 \tabularnewline
0.67 & 7713.95714633353 & 371.679160803594 \tabularnewline
0.68 & 7839.20717851786 & 341.744576737832 \tabularnewline
0.69 & 7957.42588537905 & 322.705427660879 \tabularnewline
0.7 & 8073.55827439347 & 320.650834484869 \tabularnewline
0.71 & 8193.6688739799 & 336.255766429444 \tabularnewline
0.72 & 8323.16571955889 & 364.468282041486 \tabularnewline
0.73 & 8465.4064430907 & 397.45918144707 \tabularnewline
0.74 & 8621.43092506102 & 428.985117237375 \tabularnewline
0.75 & 8790.8818319417 & 457.025344555805 \tabularnewline
0.76 & 8973.43887832142 & 483.611493985053 \tabularnewline
0.77 & 9169.78620021298 & 512.26100054847 \tabularnewline
0.78 & 9381.47830540184 & 544.257513562555 \tabularnewline
0.79 & 9609.81250045485 & 576.991011125827 \tabularnewline
0.8 & 9854.33785902682 & 604.44897004377 \tabularnewline
0.81 & 10111.5588292543 & 618.571839078318 \tabularnewline
0.82 & 10374.1190581330 & 610.665897997661 \tabularnewline
0.83 & 10630.9748400366 & 574.052939290464 \tabularnewline
0.84 & 10869.5741727634 & 509.344631465084 \tabularnewline
0.85 & 11080.5202176445 & 429.347256983948 \tabularnewline
0.86 & 11263.0005011881 & 357.737129058629 \tabularnewline
0.87 & 11427.2297127240 & 318.684044870046 \tabularnewline
0.88 & 11590.9923844478 & 321.428189502078 \tabularnewline
0.89 & 11771.1778541491 & 351.762196767056 \tabularnewline
0.9 & 11975.0900989205 & 381.766044551927 \tabularnewline
0.91 & 12196.9955735185 & 387.779967500644 \tabularnewline
0.92 & 12421.1785238138 & 360.259300726089 \tabularnewline
0.93 & 12627.5173837200 & 300.855296336132 \tabularnewline
0.94 & 12798.0060065537 & 221.102650994141 \tabularnewline
0.95 & 12927.8605046305 & 149.427012629766 \tabularnewline
0.96 & 13032.9290440044 & 114.143606164237 \tabularnewline
0.97 & 13137.5324257827 & 106.905701855122 \tabularnewline
0.98 & 13252.6203387573 & 97.8677092346761 \tabularnewline
0.99 & 13356.1789880021 & 54.145487541419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74245&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]1783.67227555447[/C][C]21.4257309323540[/C][/ROW]
[ROW][C]0.02[/C][C]1819.03409772376[/C][C]26.8385672000455[/C][/ROW]
[ROW][C]0.03[/C][C]1851.10587315176[/C][C]33.0713738616691[/C][/ROW]
[ROW][C]0.04[/C][C]1892.4332270724[/C][C]68.1269054664618[/C][/ROW]
[ROW][C]0.05[/C][C]1958.83248324133[/C][C]107.525149765545[/C][/ROW]
[ROW][C]0.06[/C][C]2042.51998295372[/C][C]121.633040829230[/C][/ROW]
[ROW][C]0.07[/C][C]2124.0910579134[/C][C]111.319255555904[/C][/ROW]
[ROW][C]0.08[/C][C]2192.70949871442[/C][C]95.598196900376[/C][/ROW]
[ROW][C]0.09[/C][C]2249.13861599705[/C][C]85.8315566455414[/C][/ROW]
[ROW][C]0.1[/C][C]2298.47964362848[/C][C]83.5779186838416[/C][/ROW]
[ROW][C]0.11[/C][C]2345.34266464699[/C][C]87.1807209082101[/C][/ROW]
[ROW][C]0.12[/C][C]2392.22554941992[/C][C]92.1276893678419[/C][/ROW]
[ROW][C]0.13[/C][C]2438.93815839935[/C][C]92.9965703885308[/C][/ROW]
[ROW][C]0.14[/C][C]2483.61285899649[/C][C]88.8598609687512[/C][/ROW]
[ROW][C]0.15[/C][C]2525.13393966735[/C][C]84.6459625499424[/C][/ROW]
[ROW][C]0.16[/C][C]2564.74380932440[/C][C]86.4925422468662[/C][/ROW]
[ROW][C]0.17[/C][C]2605.4092438688[/C][C]96.1669044135752[/C][/ROW]
[ROW][C]0.18[/C][C]2649.93779246445[/C][C]110.631859619448[/C][/ROW]
[ROW][C]0.19[/C][C]2699.71356803683[/C][C]125.991835088938[/C][/ROW]
[ROW][C]0.2[/C][C]2754.88600923080[/C][C]140.865975950706[/C][/ROW]
[ROW][C]0.21[/C][C]2815.42614419918[/C][C]156.826456016794[/C][/ROW]
[ROW][C]0.22[/C][C]2881.92654437807[/C][C]176.062041402165[/C][/ROW]
[ROW][C]0.23[/C][C]2955.55581032463[/C][C]199.217933234099[/C][/ROW]
[ROW][C]0.24[/C][C]3037.44912297005[/C][C]224.982579713459[/C][/ROW]
[ROW][C]0.25[/C][C]3128.14530301376[/C][C]251.307153231865[/C][/ROW]
[ROW][C]0.26[/C][C]3227.34574515957[/C][C]275.936839734078[/C][/ROW]
[ROW][C]0.27[/C][C]3333.86559231514[/C][C]296.426060908940[/C][/ROW]
[ROW][C]0.28[/C][C]3445.63112948130[/C][C]310.17632580169[/C][/ROW]
[ROW][C]0.29[/C][C]3559.79908855216[/C][C]315.096839567134[/C][/ROW]
[ROW][C]0.3[/C][C]3673.14041746031[/C][C]310.690050104993[/C][/ROW]
[ROW][C]0.31[/C][C]3782.6450863119[/C][C]298.415940782884[/C][/ROW]
[ROW][C]0.32[/C][C]3886.11151569032[/C][C]281.232251363243[/C][/ROW]
[ROW][C]0.33[/C][C]3982.51112099784[/C][C]262.699081400183[/C][/ROW]
[ROW][C]0.34[/C][C]4072.09959385564[/C][C]246.433697207424[/C][/ROW]
[ROW][C]0.35[/C][C]4156.3409870859[/C][C]235.783497428208[/C][/ROW]
[ROW][C]0.36[/C][C]4237.62875046889[/C][C]233.155602323355[/C][/ROW]
[ROW][C]0.37[/C][C]4318.70786005824[/C][C]238.705479203481[/C][/ROW]
[ROW][C]0.38[/C][C]4401.83234035588[/C][C]249.532157169815[/C][/ROW]
[ROW][C]0.39[/C][C]4487.98095169656[/C][C]260.541252633806[/C][/ROW]
[ROW][C]0.4[/C][C]4576.60725425498[/C][C]267.159775458078[/C][/ROW]
[ROW][C]0.41[/C][C]4666.19060343716[/C][C]267.89001482907[/C][/ROW]
[ROW][C]0.42[/C][C]4755.37020564031[/C][C]265.389096668072[/C][/ROW]
[ROW][C]0.43[/C][C]4844.03083746834[/C][C]265.121692103317[/C][/ROW]
[ROW][C]0.44[/C][C]4933.67835535173[/C][C]272.2728943678[/C][/ROW]
[ROW][C]0.45[/C][C]5026.82932288616[/C][C]288.352017560387[/C][/ROW]
[ROW][C]0.46[/C][C]5125.69207456957[/C][C]309.731185744092[/C][/ROW]
[ROW][C]0.47[/C][C]5230.8039563995[/C][C]329.063848405378[/C][/ROW]
[ROW][C]0.48[/C][C]5340.31681394549[/C][C]338.544003029144[/C][/ROW]
[ROW][C]0.49[/C][C]5450.31604471818[/C][C]333.207283977035[/C][/ROW]
[ROW][C]0.5[/C][C]5556.09761427971[/C][C]313.064582661201[/C][/ROW]
[ROW][C]0.51[/C][C]5653.9250490091[/C][C]283.748020727110[/C][/ROW]
[ROW][C]0.52[/C][C]5742.59847191762[/C][C]254.991623445364[/C][/ROW]
[ROW][C]0.53[/C][C]5824.24229958925[/C][C]237.814783987919[/C][/ROW]
[ROW][C]0.54[/C][C]5904.00494915542[/C][C]241.027953119677[/C][/ROW]
[ROW][C]0.55[/C][C]5988.7436303315[/C][C]267.309338409781[/C][/ROW]
[ROW][C]0.56[/C][C]6085.11398526168[/C][C]312.04039388322[/C][/ROW]
[ROW][C]0.57[/C][C]6197.70130282041[/C][C]365.569768005109[/C][/ROW]
[ROW][C]0.58[/C][C]6327.84401683753[/C][C]416.796060661915[/C][/ROW]
[ROW][C]0.59[/C][C]6473.56361411362[/C][C]456.59549442392[/C][/ROW]
[ROW][C]0.6[/C][C]6630.56451380093[/C][C]480.433935858077[/C][/ROW]
[ROW][C]0.61[/C][C]6793.78488231996[/C][C]488.845466474672[/C][/ROW]
[ROW][C]0.62[/C][C]6958.7396400919[/C][C]485.503615242482[/C][/ROW]
[ROW][C]0.63[/C][C]7122.0830803139[/C][C]474.297283846067[/C][/ROW]
[ROW][C]0.64[/C][C]7281.3492966309[/C][C]457.071570128525[/C][/ROW]
[ROW][C]0.65[/C][C]7434.3712805188[/C][C]433.764634870114[/C][/ROW]
[ROW][C]0.66[/C][C]7579.0656205255[/C][C]404.409535744442[/C][/ROW]
[ROW][C]0.67[/C][C]7713.95714633353[/C][C]371.679160803594[/C][/ROW]
[ROW][C]0.68[/C][C]7839.20717851786[/C][C]341.744576737832[/C][/ROW]
[ROW][C]0.69[/C][C]7957.42588537905[/C][C]322.705427660879[/C][/ROW]
[ROW][C]0.7[/C][C]8073.55827439347[/C][C]320.650834484869[/C][/ROW]
[ROW][C]0.71[/C][C]8193.6688739799[/C][C]336.255766429444[/C][/ROW]
[ROW][C]0.72[/C][C]8323.16571955889[/C][C]364.468282041486[/C][/ROW]
[ROW][C]0.73[/C][C]8465.4064430907[/C][C]397.45918144707[/C][/ROW]
[ROW][C]0.74[/C][C]8621.43092506102[/C][C]428.985117237375[/C][/ROW]
[ROW][C]0.75[/C][C]8790.8818319417[/C][C]457.025344555805[/C][/ROW]
[ROW][C]0.76[/C][C]8973.43887832142[/C][C]483.611493985053[/C][/ROW]
[ROW][C]0.77[/C][C]9169.78620021298[/C][C]512.26100054847[/C][/ROW]
[ROW][C]0.78[/C][C]9381.47830540184[/C][C]544.257513562555[/C][/ROW]
[ROW][C]0.79[/C][C]9609.81250045485[/C][C]576.991011125827[/C][/ROW]
[ROW][C]0.8[/C][C]9854.33785902682[/C][C]604.44897004377[/C][/ROW]
[ROW][C]0.81[/C][C]10111.5588292543[/C][C]618.571839078318[/C][/ROW]
[ROW][C]0.82[/C][C]10374.1190581330[/C][C]610.665897997661[/C][/ROW]
[ROW][C]0.83[/C][C]10630.9748400366[/C][C]574.052939290464[/C][/ROW]
[ROW][C]0.84[/C][C]10869.5741727634[/C][C]509.344631465084[/C][/ROW]
[ROW][C]0.85[/C][C]11080.5202176445[/C][C]429.347256983948[/C][/ROW]
[ROW][C]0.86[/C][C]11263.0005011881[/C][C]357.737129058629[/C][/ROW]
[ROW][C]0.87[/C][C]11427.2297127240[/C][C]318.684044870046[/C][/ROW]
[ROW][C]0.88[/C][C]11590.9923844478[/C][C]321.428189502078[/C][/ROW]
[ROW][C]0.89[/C][C]11771.1778541491[/C][C]351.762196767056[/C][/ROW]
[ROW][C]0.9[/C][C]11975.0900989205[/C][C]381.766044551927[/C][/ROW]
[ROW][C]0.91[/C][C]12196.9955735185[/C][C]387.779967500644[/C][/ROW]
[ROW][C]0.92[/C][C]12421.1785238138[/C][C]360.259300726089[/C][/ROW]
[ROW][C]0.93[/C][C]12627.5173837200[/C][C]300.855296336132[/C][/ROW]
[ROW][C]0.94[/C][C]12798.0060065537[/C][C]221.102650994141[/C][/ROW]
[ROW][C]0.95[/C][C]12927.8605046305[/C][C]149.427012629766[/C][/ROW]
[ROW][C]0.96[/C][C]13032.9290440044[/C][C]114.143606164237[/C][/ROW]
[ROW][C]0.97[/C][C]13137.5324257827[/C][C]106.905701855122[/C][/ROW]
[ROW][C]0.98[/C][C]13252.6203387573[/C][C]97.8677092346761[/C][/ROW]
[ROW][C]0.99[/C][C]13356.1789880021[/C][C]54.145487541419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74245&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74245&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
0.011783.6722755544721.4257309323540
0.021819.0340977237626.8385672000455
0.031851.1058731517633.0713738616691
0.041892.433227072468.1269054664618
0.051958.83248324133107.525149765545
0.062042.51998295372121.633040829230
0.072124.0910579134111.319255555904
0.082192.7094987144295.598196900376
0.092249.1386159970585.8315566455414
0.12298.4796436284883.5779186838416
0.112345.3426646469987.1807209082101
0.122392.2255494199292.1276893678419
0.132438.9381583993592.9965703885308
0.142483.6128589964988.8598609687512
0.152525.1339396673584.6459625499424
0.162564.7438093244086.4925422468662
0.172605.409243868896.1669044135752
0.182649.93779246445110.631859619448
0.192699.71356803683125.991835088938
0.22754.88600923080140.865975950706
0.212815.42614419918156.826456016794
0.222881.92654437807176.062041402165
0.232955.55581032463199.217933234099
0.243037.44912297005224.982579713459
0.253128.14530301376251.307153231865
0.263227.34574515957275.936839734078
0.273333.86559231514296.426060908940
0.283445.63112948130310.17632580169
0.293559.79908855216315.096839567134
0.33673.14041746031310.690050104993
0.313782.6450863119298.415940782884
0.323886.11151569032281.232251363243
0.333982.51112099784262.699081400183
0.344072.09959385564246.433697207424
0.354156.3409870859235.783497428208
0.364237.62875046889233.155602323355
0.374318.70786005824238.705479203481
0.384401.83234035588249.532157169815
0.394487.98095169656260.541252633806
0.44576.60725425498267.159775458078
0.414666.19060343716267.89001482907
0.424755.37020564031265.389096668072
0.434844.03083746834265.121692103317
0.444933.67835535173272.2728943678
0.455026.82932288616288.352017560387
0.465125.69207456957309.731185744092
0.475230.8039563995329.063848405378
0.485340.31681394549338.544003029144
0.495450.31604471818333.207283977035
0.55556.09761427971313.064582661201
0.515653.9250490091283.748020727110
0.525742.59847191762254.991623445364
0.535824.24229958925237.814783987919
0.545904.00494915542241.027953119677
0.555988.7436303315267.309338409781
0.566085.11398526168312.04039388322
0.576197.70130282041365.569768005109
0.586327.84401683753416.796060661915
0.596473.56361411362456.59549442392
0.66630.56451380093480.433935858077
0.616793.78488231996488.845466474672
0.626958.7396400919485.503615242482
0.637122.0830803139474.297283846067
0.647281.3492966309457.071570128525
0.657434.3712805188433.764634870114
0.667579.0656205255404.409535744442
0.677713.95714633353371.679160803594
0.687839.20717851786341.744576737832
0.697957.42588537905322.705427660879
0.78073.55827439347320.650834484869
0.718193.6688739799336.255766429444
0.728323.16571955889364.468282041486
0.738465.4064430907397.45918144707
0.748621.43092506102428.985117237375
0.758790.8818319417457.025344555805
0.768973.43887832142483.611493985053
0.779169.78620021298512.26100054847
0.789381.47830540184544.257513562555
0.799609.81250045485576.991011125827
0.89854.33785902682604.44897004377
0.8110111.5588292543618.571839078318
0.8210374.1190581330610.665897997661
0.8310630.9748400366574.052939290464
0.8410869.5741727634509.344631465084
0.8511080.5202176445429.347256983948
0.8611263.0005011881357.737129058629
0.8711427.2297127240318.684044870046
0.8811590.9923844478321.428189502078
0.8911771.1778541491351.762196767056
0.911975.0900989205381.766044551927
0.9112196.9955735185387.779967500644
0.9212421.1785238138360.259300726089
0.9312627.5173837200300.855296336132
0.9412798.0060065537221.102650994141
0.9512927.8605046305149.427012629766
0.9613032.9290440044114.143606164237
0.9713137.5324257827106.905701855122
0.9813252.620338757397.8677092346761
0.9913356.178988002154.145487541419


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')