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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 computationThu, 06 Oct 2016 17:17:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t147577094547gzhsximw3t4oj.htm/, Retrieved Sat, 04 May 2024 17:11:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 17:11:01 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
829
721
19
311
264
120
135
435
1456
127
313
1104
585
295
4073
408
224
312
571
1336
586
2279
239
198
320
112
89
407
434
268
354
150
273
728
226
310
554
5725
303
360
129
2466
1042
456
335
866
1417
994
201
224
640
1043
293
2659
436
485
610
31127
2613
432
532

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0134.770337919738158.8387631163719
0.0256.82990933394645.2870116524867
0.0377.975869832049233.0825399722895
0.0494.786140797858824.4056016091751
0.05107.14464885149519.3926540498366
0.06116.34682539981817.5737042013013
0.07123.82478831549718.3828275105313
0.08130.67723428983321.0841751675284
0.09137.61369019429124.8557700560802
0.1145.01944407927228.9295332295943
0.11153.03044640831232.6548979349317
0.12161.60055472229235.5511003363402
0.13170.56569968939337.3553186345748
0.14179.70572841246438.034358606449
0.15188.79870928702637.7530827082323
0.16197.66109346257436.8045706396338
0.17206.16975431475335.5260426076911
0.18214.26615167600434.2188688792985
0.19221.9465655992333.0910214915939
0.2229.2443442973132.2335805778089
0.21236.21021243170231.6307100279857
0.22242.89536127190631.1960200937771
0.23249.34004215104530.8156492279203
0.24255.56840828835630.3850436793768
0.25261.5888569875829.8319371694163
0.26267.39829008719729.1247451794546
0.27272.98848257454328.272509496717
0.28278.35294568868127.3225048493412
0.29283.49307836008126.3493370968867
0.3288.42284382696425.4509047059487
0.31293.17158101084324.7379621281251
0.32297.78482724755724.32519840832
0.33302.32320502601924.3186071591833
0.34306.85954822712524.7997481358388
0.35311.47454954066525.8136581738761
0.36316.25132054542127.3555694134804
0.37321.26936865052629.3721275100266
0.38326.59859269002331.7695670179369
0.39332.29395458669234.4227415891996
0.4338.39147214593237.1902174653058
0.41344.90608073962239.9280771062377
0.42351.83172680648142.5031793758571
0.43359.14379762530844.8085769699329
0.44366.80368918752146.771437092386
0.45374.7650087878648.3664917481481
0.46382.98064924705349.6176584253882
0.47391.40980479254550.5956702864702
0.48400.02396286558651.4113655916484
0.49408.81102264288852.1983474498385
0.5417.77695720293153.0963466906677
0.51426.94482212749954.2257802020335
0.52436.35136300855455.6671795744557
0.53446.04191270873757.4499400441056
0.54456.06461395863859.5482668890993
0.55466.46517995602861.8936541810853
0.56477.28336558011164.3957468684078
0.57488.55205288578766.9662995625822
0.58500.29938931600769.5484168933103
0.59512.55383024059172.1359303532799
0.6525.3513339197174.7869011854347
0.61538.74345250687177.6249295038827
0.62552.80476066588480.8295601622674
0.63567.63803357898384.61073134875
0.64583.37585048404389.1723861385183
0.65600.17782885263494.6749280058879
0.66618.223414676267101.20247695807
0.67637.700965456205108.740454729584
0.68658.794655711958117.174454093781
0.69681.671409418402126.299767527847
0.7706.470535425313135.852155237753
0.71733.298943239215145.543899003632
0.72762.234693912892155.117744461246
0.73793.341152925502164.398509397439
0.74826.693132932204173.360910649893
0.75862.415135942216182.191849737531
0.76900.730127486167191.340449403245
0.77942.015183735753201.553967095117
0.78986.857792373189213.867878095002
0.791036.10351220799229.538238324771
0.81090.88227224415249.901579846547
0.811152.59764005217276.150467641932
0.821222.8629964675309.035860529399
0.831303.37451588505348.514104118533
0.841395.72836418212393.411624079554
0.851501.22347275768441.238350518914
0.861620.74318599899488.368621708504
0.871754.87526622629530.830593465867
0.881904.50721488039565.939614715354
0.892072.24891619534594.926737508718
0.92265.31197379769626.673290387986
0.912501.23955878206682.652244046368
0.922819.6455456406803.534829279212
0.933305.946046351151063.18029550949
0.944134.228241271221608.78572827312
0.955625.856635930252732.33631447929
0.968278.814785554374906.03194370473
0.9712640.86031171358651.41558334627
0.9818847.148583135814102.7781996216
0.9925854.397764660720311.4893375891

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 34.7703379197381 & 58.8387631163719 \tabularnewline
0.02 & 56.829909333946 & 45.2870116524867 \tabularnewline
0.03 & 77.9758698320492 & 33.0825399722895 \tabularnewline
0.04 & 94.7861407978588 & 24.4056016091751 \tabularnewline
0.05 & 107.144648851495 & 19.3926540498366 \tabularnewline
0.06 & 116.346825399818 & 17.5737042013013 \tabularnewline
0.07 & 123.824788315497 & 18.3828275105313 \tabularnewline
0.08 & 130.677234289833 & 21.0841751675284 \tabularnewline
0.09 & 137.613690194291 & 24.8557700560802 \tabularnewline
0.1 & 145.019444079272 & 28.9295332295943 \tabularnewline
0.11 & 153.030446408312 & 32.6548979349317 \tabularnewline
0.12 & 161.600554722292 & 35.5511003363402 \tabularnewline
0.13 & 170.565699689393 & 37.3553186345748 \tabularnewline
0.14 & 179.705728412464 & 38.034358606449 \tabularnewline
0.15 & 188.798709287026 & 37.7530827082323 \tabularnewline
0.16 & 197.661093462574 & 36.8045706396338 \tabularnewline
0.17 & 206.169754314753 & 35.5260426076911 \tabularnewline
0.18 & 214.266151676004 & 34.2188688792985 \tabularnewline
0.19 & 221.94656559923 & 33.0910214915939 \tabularnewline
0.2 & 229.24434429731 & 32.2335805778089 \tabularnewline
0.21 & 236.210212431702 & 31.6307100279857 \tabularnewline
0.22 & 242.895361271906 & 31.1960200937771 \tabularnewline
0.23 & 249.340042151045 & 30.8156492279203 \tabularnewline
0.24 & 255.568408288356 & 30.3850436793768 \tabularnewline
0.25 & 261.58885698758 & 29.8319371694163 \tabularnewline
0.26 & 267.398290087197 & 29.1247451794546 \tabularnewline
0.27 & 272.988482574543 & 28.272509496717 \tabularnewline
0.28 & 278.352945688681 & 27.3225048493412 \tabularnewline
0.29 & 283.493078360081 & 26.3493370968867 \tabularnewline
0.3 & 288.422843826964 & 25.4509047059487 \tabularnewline
0.31 & 293.171581010843 & 24.7379621281251 \tabularnewline
0.32 & 297.784827247557 & 24.32519840832 \tabularnewline
0.33 & 302.323205026019 & 24.3186071591833 \tabularnewline
0.34 & 306.859548227125 & 24.7997481358388 \tabularnewline
0.35 & 311.474549540665 & 25.8136581738761 \tabularnewline
0.36 & 316.251320545421 & 27.3555694134804 \tabularnewline
0.37 & 321.269368650526 & 29.3721275100266 \tabularnewline
0.38 & 326.598592690023 & 31.7695670179369 \tabularnewline
0.39 & 332.293954586692 & 34.4227415891996 \tabularnewline
0.4 & 338.391472145932 & 37.1902174653058 \tabularnewline
0.41 & 344.906080739622 & 39.9280771062377 \tabularnewline
0.42 & 351.831726806481 & 42.5031793758571 \tabularnewline
0.43 & 359.143797625308 & 44.8085769699329 \tabularnewline
0.44 & 366.803689187521 & 46.771437092386 \tabularnewline
0.45 & 374.76500878786 & 48.3664917481481 \tabularnewline
0.46 & 382.980649247053 & 49.6176584253882 \tabularnewline
0.47 & 391.409804792545 & 50.5956702864702 \tabularnewline
0.48 & 400.023962865586 & 51.4113655916484 \tabularnewline
0.49 & 408.811022642888 & 52.1983474498385 \tabularnewline
0.5 & 417.776957202931 & 53.0963466906677 \tabularnewline
0.51 & 426.944822127499 & 54.2257802020335 \tabularnewline
0.52 & 436.351363008554 & 55.6671795744557 \tabularnewline
0.53 & 446.041912708737 & 57.4499400441056 \tabularnewline
0.54 & 456.064613958638 & 59.5482668890993 \tabularnewline
0.55 & 466.465179956028 & 61.8936541810853 \tabularnewline
0.56 & 477.283365580111 & 64.3957468684078 \tabularnewline
0.57 & 488.552052885787 & 66.9662995625822 \tabularnewline
0.58 & 500.299389316007 & 69.5484168933103 \tabularnewline
0.59 & 512.553830240591 & 72.1359303532799 \tabularnewline
0.6 & 525.35133391971 & 74.7869011854347 \tabularnewline
0.61 & 538.743452506871 & 77.6249295038827 \tabularnewline
0.62 & 552.804760665884 & 80.8295601622674 \tabularnewline
0.63 & 567.638033578983 & 84.61073134875 \tabularnewline
0.64 & 583.375850484043 & 89.1723861385183 \tabularnewline
0.65 & 600.177828852634 & 94.6749280058879 \tabularnewline
0.66 & 618.223414676267 & 101.20247695807 \tabularnewline
0.67 & 637.700965456205 & 108.740454729584 \tabularnewline
0.68 & 658.794655711958 & 117.174454093781 \tabularnewline
0.69 & 681.671409418402 & 126.299767527847 \tabularnewline
0.7 & 706.470535425313 & 135.852155237753 \tabularnewline
0.71 & 733.298943239215 & 145.543899003632 \tabularnewline
0.72 & 762.234693912892 & 155.117744461246 \tabularnewline
0.73 & 793.341152925502 & 164.398509397439 \tabularnewline
0.74 & 826.693132932204 & 173.360910649893 \tabularnewline
0.75 & 862.415135942216 & 182.191849737531 \tabularnewline
0.76 & 900.730127486167 & 191.340449403245 \tabularnewline
0.77 & 942.015183735753 & 201.553967095117 \tabularnewline
0.78 & 986.857792373189 & 213.867878095002 \tabularnewline
0.79 & 1036.10351220799 & 229.538238324771 \tabularnewline
0.8 & 1090.88227224415 & 249.901579846547 \tabularnewline
0.81 & 1152.59764005217 & 276.150467641932 \tabularnewline
0.82 & 1222.8629964675 & 309.035860529399 \tabularnewline
0.83 & 1303.37451588505 & 348.514104118533 \tabularnewline
0.84 & 1395.72836418212 & 393.411624079554 \tabularnewline
0.85 & 1501.22347275768 & 441.238350518914 \tabularnewline
0.86 & 1620.74318599899 & 488.368621708504 \tabularnewline
0.87 & 1754.87526622629 & 530.830593465867 \tabularnewline
0.88 & 1904.50721488039 & 565.939614715354 \tabularnewline
0.89 & 2072.24891619534 & 594.926737508718 \tabularnewline
0.9 & 2265.31197379769 & 626.673290387986 \tabularnewline
0.91 & 2501.23955878206 & 682.652244046368 \tabularnewline
0.92 & 2819.6455456406 & 803.534829279212 \tabularnewline
0.93 & 3305.94604635115 & 1063.18029550949 \tabularnewline
0.94 & 4134.22824127122 & 1608.78572827312 \tabularnewline
0.95 & 5625.85663593025 & 2732.33631447929 \tabularnewline
0.96 & 8278.81478555437 & 4906.03194370473 \tabularnewline
0.97 & 12640.8603117135 & 8651.41558334627 \tabularnewline
0.98 & 18847.1485831358 & 14102.7781996216 \tabularnewline
0.99 & 25854.3977646607 & 20311.4893375891 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]34.7703379197381[/C][C]58.8387631163719[/C][/ROW]
[ROW][C]0.02[/C][C]56.829909333946[/C][C]45.2870116524867[/C][/ROW]
[ROW][C]0.03[/C][C]77.9758698320492[/C][C]33.0825399722895[/C][/ROW]
[ROW][C]0.04[/C][C]94.7861407978588[/C][C]24.4056016091751[/C][/ROW]
[ROW][C]0.05[/C][C]107.144648851495[/C][C]19.3926540498366[/C][/ROW]
[ROW][C]0.06[/C][C]116.346825399818[/C][C]17.5737042013013[/C][/ROW]
[ROW][C]0.07[/C][C]123.824788315497[/C][C]18.3828275105313[/C][/ROW]
[ROW][C]0.08[/C][C]130.677234289833[/C][C]21.0841751675284[/C][/ROW]
[ROW][C]0.09[/C][C]137.613690194291[/C][C]24.8557700560802[/C][/ROW]
[ROW][C]0.1[/C][C]145.019444079272[/C][C]28.9295332295943[/C][/ROW]
[ROW][C]0.11[/C][C]153.030446408312[/C][C]32.6548979349317[/C][/ROW]
[ROW][C]0.12[/C][C]161.600554722292[/C][C]35.5511003363402[/C][/ROW]
[ROW][C]0.13[/C][C]170.565699689393[/C][C]37.3553186345748[/C][/ROW]
[ROW][C]0.14[/C][C]179.705728412464[/C][C]38.034358606449[/C][/ROW]
[ROW][C]0.15[/C][C]188.798709287026[/C][C]37.7530827082323[/C][/ROW]
[ROW][C]0.16[/C][C]197.661093462574[/C][C]36.8045706396338[/C][/ROW]
[ROW][C]0.17[/C][C]206.169754314753[/C][C]35.5260426076911[/C][/ROW]
[ROW][C]0.18[/C][C]214.266151676004[/C][C]34.2188688792985[/C][/ROW]
[ROW][C]0.19[/C][C]221.94656559923[/C][C]33.0910214915939[/C][/ROW]
[ROW][C]0.2[/C][C]229.24434429731[/C][C]32.2335805778089[/C][/ROW]
[ROW][C]0.21[/C][C]236.210212431702[/C][C]31.6307100279857[/C][/ROW]
[ROW][C]0.22[/C][C]242.895361271906[/C][C]31.1960200937771[/C][/ROW]
[ROW][C]0.23[/C][C]249.340042151045[/C][C]30.8156492279203[/C][/ROW]
[ROW][C]0.24[/C][C]255.568408288356[/C][C]30.3850436793768[/C][/ROW]
[ROW][C]0.25[/C][C]261.58885698758[/C][C]29.8319371694163[/C][/ROW]
[ROW][C]0.26[/C][C]267.398290087197[/C][C]29.1247451794546[/C][/ROW]
[ROW][C]0.27[/C][C]272.988482574543[/C][C]28.272509496717[/C][/ROW]
[ROW][C]0.28[/C][C]278.352945688681[/C][C]27.3225048493412[/C][/ROW]
[ROW][C]0.29[/C][C]283.493078360081[/C][C]26.3493370968867[/C][/ROW]
[ROW][C]0.3[/C][C]288.422843826964[/C][C]25.4509047059487[/C][/ROW]
[ROW][C]0.31[/C][C]293.171581010843[/C][C]24.7379621281251[/C][/ROW]
[ROW][C]0.32[/C][C]297.784827247557[/C][C]24.32519840832[/C][/ROW]
[ROW][C]0.33[/C][C]302.323205026019[/C][C]24.3186071591833[/C][/ROW]
[ROW][C]0.34[/C][C]306.859548227125[/C][C]24.7997481358388[/C][/ROW]
[ROW][C]0.35[/C][C]311.474549540665[/C][C]25.8136581738761[/C][/ROW]
[ROW][C]0.36[/C][C]316.251320545421[/C][C]27.3555694134804[/C][/ROW]
[ROW][C]0.37[/C][C]321.269368650526[/C][C]29.3721275100266[/C][/ROW]
[ROW][C]0.38[/C][C]326.598592690023[/C][C]31.7695670179369[/C][/ROW]
[ROW][C]0.39[/C][C]332.293954586692[/C][C]34.4227415891996[/C][/ROW]
[ROW][C]0.4[/C][C]338.391472145932[/C][C]37.1902174653058[/C][/ROW]
[ROW][C]0.41[/C][C]344.906080739622[/C][C]39.9280771062377[/C][/ROW]
[ROW][C]0.42[/C][C]351.831726806481[/C][C]42.5031793758571[/C][/ROW]
[ROW][C]0.43[/C][C]359.143797625308[/C][C]44.8085769699329[/C][/ROW]
[ROW][C]0.44[/C][C]366.803689187521[/C][C]46.771437092386[/C][/ROW]
[ROW][C]0.45[/C][C]374.76500878786[/C][C]48.3664917481481[/C][/ROW]
[ROW][C]0.46[/C][C]382.980649247053[/C][C]49.6176584253882[/C][/ROW]
[ROW][C]0.47[/C][C]391.409804792545[/C][C]50.5956702864702[/C][/ROW]
[ROW][C]0.48[/C][C]400.023962865586[/C][C]51.4113655916484[/C][/ROW]
[ROW][C]0.49[/C][C]408.811022642888[/C][C]52.1983474498385[/C][/ROW]
[ROW][C]0.5[/C][C]417.776957202931[/C][C]53.0963466906677[/C][/ROW]
[ROW][C]0.51[/C][C]426.944822127499[/C][C]54.2257802020335[/C][/ROW]
[ROW][C]0.52[/C][C]436.351363008554[/C][C]55.6671795744557[/C][/ROW]
[ROW][C]0.53[/C][C]446.041912708737[/C][C]57.4499400441056[/C][/ROW]
[ROW][C]0.54[/C][C]456.064613958638[/C][C]59.5482668890993[/C][/ROW]
[ROW][C]0.55[/C][C]466.465179956028[/C][C]61.8936541810853[/C][/ROW]
[ROW][C]0.56[/C][C]477.283365580111[/C][C]64.3957468684078[/C][/ROW]
[ROW][C]0.57[/C][C]488.552052885787[/C][C]66.9662995625822[/C][/ROW]
[ROW][C]0.58[/C][C]500.299389316007[/C][C]69.5484168933103[/C][/ROW]
[ROW][C]0.59[/C][C]512.553830240591[/C][C]72.1359303532799[/C][/ROW]
[ROW][C]0.6[/C][C]525.35133391971[/C][C]74.7869011854347[/C][/ROW]
[ROW][C]0.61[/C][C]538.743452506871[/C][C]77.6249295038827[/C][/ROW]
[ROW][C]0.62[/C][C]552.804760665884[/C][C]80.8295601622674[/C][/ROW]
[ROW][C]0.63[/C][C]567.638033578983[/C][C]84.61073134875[/C][/ROW]
[ROW][C]0.64[/C][C]583.375850484043[/C][C]89.1723861385183[/C][/ROW]
[ROW][C]0.65[/C][C]600.177828852634[/C][C]94.6749280058879[/C][/ROW]
[ROW][C]0.66[/C][C]618.223414676267[/C][C]101.20247695807[/C][/ROW]
[ROW][C]0.67[/C][C]637.700965456205[/C][C]108.740454729584[/C][/ROW]
[ROW][C]0.68[/C][C]658.794655711958[/C][C]117.174454093781[/C][/ROW]
[ROW][C]0.69[/C][C]681.671409418402[/C][C]126.299767527847[/C][/ROW]
[ROW][C]0.7[/C][C]706.470535425313[/C][C]135.852155237753[/C][/ROW]
[ROW][C]0.71[/C][C]733.298943239215[/C][C]145.543899003632[/C][/ROW]
[ROW][C]0.72[/C][C]762.234693912892[/C][C]155.117744461246[/C][/ROW]
[ROW][C]0.73[/C][C]793.341152925502[/C][C]164.398509397439[/C][/ROW]
[ROW][C]0.74[/C][C]826.693132932204[/C][C]173.360910649893[/C][/ROW]
[ROW][C]0.75[/C][C]862.415135942216[/C][C]182.191849737531[/C][/ROW]
[ROW][C]0.76[/C][C]900.730127486167[/C][C]191.340449403245[/C][/ROW]
[ROW][C]0.77[/C][C]942.015183735753[/C][C]201.553967095117[/C][/ROW]
[ROW][C]0.78[/C][C]986.857792373189[/C][C]213.867878095002[/C][/ROW]
[ROW][C]0.79[/C][C]1036.10351220799[/C][C]229.538238324771[/C][/ROW]
[ROW][C]0.8[/C][C]1090.88227224415[/C][C]249.901579846547[/C][/ROW]
[ROW][C]0.81[/C][C]1152.59764005217[/C][C]276.150467641932[/C][/ROW]
[ROW][C]0.82[/C][C]1222.8629964675[/C][C]309.035860529399[/C][/ROW]
[ROW][C]0.83[/C][C]1303.37451588505[/C][C]348.514104118533[/C][/ROW]
[ROW][C]0.84[/C][C]1395.72836418212[/C][C]393.411624079554[/C][/ROW]
[ROW][C]0.85[/C][C]1501.22347275768[/C][C]441.238350518914[/C][/ROW]
[ROW][C]0.86[/C][C]1620.74318599899[/C][C]488.368621708504[/C][/ROW]
[ROW][C]0.87[/C][C]1754.87526622629[/C][C]530.830593465867[/C][/ROW]
[ROW][C]0.88[/C][C]1904.50721488039[/C][C]565.939614715354[/C][/ROW]
[ROW][C]0.89[/C][C]2072.24891619534[/C][C]594.926737508718[/C][/ROW]
[ROW][C]0.9[/C][C]2265.31197379769[/C][C]626.673290387986[/C][/ROW]
[ROW][C]0.91[/C][C]2501.23955878206[/C][C]682.652244046368[/C][/ROW]
[ROW][C]0.92[/C][C]2819.6455456406[/C][C]803.534829279212[/C][/ROW]
[ROW][C]0.93[/C][C]3305.94604635115[/C][C]1063.18029550949[/C][/ROW]
[ROW][C]0.94[/C][C]4134.22824127122[/C][C]1608.78572827312[/C][/ROW]
[ROW][C]0.95[/C][C]5625.85663593025[/C][C]2732.33631447929[/C][/ROW]
[ROW][C]0.96[/C][C]8278.81478555437[/C][C]4906.03194370473[/C][/ROW]
[ROW][C]0.97[/C][C]12640.8603117135[/C][C]8651.41558334627[/C][/ROW]
[ROW][C]0.98[/C][C]18847.1485831358[/C][C]14102.7781996216[/C][/ROW]
[ROW][C]0.99[/C][C]25854.3977646607[/C][C]20311.4893375891[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0134.770337919738158.8387631163719
0.0256.82990933394645.2870116524867
0.0377.975869832049233.0825399722895
0.0494.786140797858824.4056016091751
0.05107.14464885149519.3926540498366
0.06116.34682539981817.5737042013013
0.07123.82478831549718.3828275105313
0.08130.67723428983321.0841751675284
0.09137.61369019429124.8557700560802
0.1145.01944407927228.9295332295943
0.11153.03044640831232.6548979349317
0.12161.60055472229235.5511003363402
0.13170.56569968939337.3553186345748
0.14179.70572841246438.034358606449
0.15188.79870928702637.7530827082323
0.16197.66109346257436.8045706396338
0.17206.16975431475335.5260426076911
0.18214.26615167600434.2188688792985
0.19221.9465655992333.0910214915939
0.2229.2443442973132.2335805778089
0.21236.21021243170231.6307100279857
0.22242.89536127190631.1960200937771
0.23249.34004215104530.8156492279203
0.24255.56840828835630.3850436793768
0.25261.5888569875829.8319371694163
0.26267.39829008719729.1247451794546
0.27272.98848257454328.272509496717
0.28278.35294568868127.3225048493412
0.29283.49307836008126.3493370968867
0.3288.42284382696425.4509047059487
0.31293.17158101084324.7379621281251
0.32297.78482724755724.32519840832
0.33302.32320502601924.3186071591833
0.34306.85954822712524.7997481358388
0.35311.47454954066525.8136581738761
0.36316.25132054542127.3555694134804
0.37321.26936865052629.3721275100266
0.38326.59859269002331.7695670179369
0.39332.29395458669234.4227415891996
0.4338.39147214593237.1902174653058
0.41344.90608073962239.9280771062377
0.42351.83172680648142.5031793758571
0.43359.14379762530844.8085769699329
0.44366.80368918752146.771437092386
0.45374.7650087878648.3664917481481
0.46382.98064924705349.6176584253882
0.47391.40980479254550.5956702864702
0.48400.02396286558651.4113655916484
0.49408.81102264288852.1983474498385
0.5417.77695720293153.0963466906677
0.51426.94482212749954.2257802020335
0.52436.35136300855455.6671795744557
0.53446.04191270873757.4499400441056
0.54456.06461395863859.5482668890993
0.55466.46517995602861.8936541810853
0.56477.28336558011164.3957468684078
0.57488.55205288578766.9662995625822
0.58500.29938931600769.5484168933103
0.59512.55383024059172.1359303532799
0.6525.3513339197174.7869011854347
0.61538.74345250687177.6249295038827
0.62552.80476066588480.8295601622674
0.63567.63803357898384.61073134875
0.64583.37585048404389.1723861385183
0.65600.17782885263494.6749280058879
0.66618.223414676267101.20247695807
0.67637.700965456205108.740454729584
0.68658.794655711958117.174454093781
0.69681.671409418402126.299767527847
0.7706.470535425313135.852155237753
0.71733.298943239215145.543899003632
0.72762.234693912892155.117744461246
0.73793.341152925502164.398509397439
0.74826.693132932204173.360910649893
0.75862.415135942216182.191849737531
0.76900.730127486167191.340449403245
0.77942.015183735753201.553967095117
0.78986.857792373189213.867878095002
0.791036.10351220799229.538238324771
0.81090.88227224415249.901579846547
0.811152.59764005217276.150467641932
0.821222.8629964675309.035860529399
0.831303.37451588505348.514104118533
0.841395.72836418212393.411624079554
0.851501.22347275768441.238350518914
0.861620.74318599899488.368621708504
0.871754.87526622629530.830593465867
0.881904.50721488039565.939614715354
0.892072.24891619534594.926737508718
0.92265.31197379769626.673290387986
0.912501.23955878206682.652244046368
0.922819.6455456406803.534829279212
0.933305.946046351151063.18029550949
0.944134.228241271221608.78572827312
0.955625.856635930252732.33631447929
0.968278.814785554374906.03194370473
0.9712640.86031171358651.41558334627
0.9818847.148583135814102.7781996216
0.9925854.397764660720311.4893375891


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')