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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 computationTue, 10 Aug 2010 18:10:11 +0000
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/Aug/10/t1281463797uaitvcexnwitcc1.htm/, Retrieved Sat, 04 May 2024 22:15:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78613, Retrieved Sat, 04 May 2024 22:15:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPlatini Olivier
Estimated Impact143

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] [Tijdreeks B - Stap 7] [2010-08-10 18:10:11] [49dea061148f13f4e9d1975b9f021cec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
335
334
333
331
329
328
329
331
332
332
333
335
335
333
325
322
322
315
321
324
329
332
322
324
324
323
309
306
305
300
301
302
308
311
301
301
308
302
290
286
286
275
284
289
292
293
285
280
281
280
265
260
254
238
247
246
247
237
222
216
212
209
185
186
178
158
166
162
164
147
132
124
117
120
89
81
71
52
63
62
74
67
53
42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78613&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78613&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78613&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0145.45347904783047.84565275913049
0.0250.20598524888516.3741572803887
0.0354.6660000304916.49177146905127
0.0458.65734126373197.20573815362371
0.0562.4778699860838.212705895245
0.0666.42319683259559.85923147102276
0.0770.752826468074812.3179357058228
0.0875.6881980203515.3998215874291
0.0981.36586587619218.7007716966263
0.187.79929078704221.7657324066858
0.1194.88012351842524.2258269976266
0.12102.41467361373525.8883494255479
0.13110.1763784666926.7547252710496
0.14117.95444685565226.9704348238113
0.15125.58585567204626.7423883425085
0.16132.96758913407026.2707182995594
0.17140.05364535725825.7194327684652
0.18146.84413489151525.2164977929555
0.19153.37229492825424.8637459113796
0.2159.69207924755024.7342152635363
0.21165.86664859902824.8578996209312
0.22171.95752151926925.2102732437967
0.23178.01480681798225.713642535868
0.24184.06972026135426.2571253208410
0.25190.13070980832526.7222409972454
0.26196.18386640962627.0097950520508
0.27202.19726814364127.053706873967
0.28208.12799923620126.8294646521594
0.29213.93012942888026.3508899957091
0.3219.56199076044925.6625374625357
0.31224.99150891751924.8270645013401
0.32230.19893057800223.9141476953552
0.33235.17686848358822.9861862042919
0.34239.92806663289422.0887432122874
0.35244.46163029953621.2445781624177
0.36248.78865529981320.4500875055731
0.37252.91821768960619.680756845198
0.38256.8545439739418.8987880991022
0.39260.59588919494818.0654242020238
0.4264.13525648629317.1519514859627
0.41267.46267961673716.1477164035960
0.42270.56845491580115.0633822218715
0.43273.44652937622913.9305538286536
0.44276.09726447655212.7945921470268
0.45278.52898499700811.7076544456780
0.46280.75802901911610.7187260153957
0.47282.8073564578179.86512195140618
0.48284.7040682037749.16742178632127
0.49286.4763781461658.62559626228707
0.5288.1506402573198.22116698322308
0.51289.7489682369437.92019916291347
0.52291.2878249692947.6848538634682
0.53292.7777450547217.4790311192764
0.54294.2241309136787.27482444020442
0.55295.6288721512977.05742556684633
0.56296.9924099496016.82538688442656
0.57298.3158201879016.58917254546474
0.58299.6025213098876.36829260841187
0.59300.8593102390496.18744339071408
0.6302.0965650316806.06877011618921
0.61303.3275962374836.02900414126962
0.62304.5672556643866.0735407716483
0.63305.8300089885896.19600840203171
0.64307.1277471681716.37715978514464
0.65308.4676564952596.58542707653466
0.66309.8504901968506.78374546734467
0.67311.2695768741686.93084288688356
0.68312.7108440434436.98899666464545
0.69314.1540103209876.92942395217957
0.7315.5749049623646.73685510036639
0.71316.9486343239576.41410008842738
0.72318.25308640725.98277743977779
0.73319.4721174760975.47928156011367
0.74320.5977601699214.9490903074438
0.75321.6309572320454.44109704036676
0.76322.5806353871463.9964254876696
0.77323.4613175056513.64116095304688
0.78324.2898246005663.38172872230153
0.79325.0818376539863.20359811429592
0.8325.8490999101573.07725048737183
0.81326.5978307209212.96935926219076
0.82327.3285544722792.85218382696917
0.83328.0371478534322.70780028236462
0.84328.7166209073482.53072700275078
0.85329.3590716446512.32363570433558
0.86329.9573899374742.09507753018493
0.87330.5065314237161.85569117560463
0.88331.0044007984191.6170714821195
0.89331.4525025424531.39119902493473
0.9331.8565452638481.19075078509845
0.91332.2270992610141.02846358193864
0.92332.5800023671090.917089128229364
0.93332.9352473779450.868288970997121
0.94333.3119711349600.879563443580964
0.95333.7177225207690.912410915498331
0.96334.1349299247440.887722412699718
0.97334.5157749758610.730015867946958
0.98334.7998170487680.443447712490799
0.99334.9534846937550.150487533468005

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 45.4534790478304 & 7.84565275913049 \tabularnewline
0.02 & 50.2059852488851 & 6.3741572803887 \tabularnewline
0.03 & 54.666000030491 & 6.49177146905127 \tabularnewline
0.04 & 58.6573412637319 & 7.20573815362371 \tabularnewline
0.05 & 62.477869986083 & 8.212705895245 \tabularnewline
0.06 & 66.4231968325955 & 9.85923147102276 \tabularnewline
0.07 & 70.7528264680748 & 12.3179357058228 \tabularnewline
0.08 & 75.68819802035 & 15.3998215874291 \tabularnewline
0.09 & 81.365865876192 & 18.7007716966263 \tabularnewline
0.1 & 87.799290787042 & 21.7657324066858 \tabularnewline
0.11 & 94.880123518425 & 24.2258269976266 \tabularnewline
0.12 & 102.414673613735 & 25.8883494255479 \tabularnewline
0.13 & 110.17637846669 & 26.7547252710496 \tabularnewline
0.14 & 117.954446855652 & 26.9704348238113 \tabularnewline
0.15 & 125.585855672046 & 26.7423883425085 \tabularnewline
0.16 & 132.967589134070 & 26.2707182995594 \tabularnewline
0.17 & 140.053645357258 & 25.7194327684652 \tabularnewline
0.18 & 146.844134891515 & 25.2164977929555 \tabularnewline
0.19 & 153.372294928254 & 24.8637459113796 \tabularnewline
0.2 & 159.692079247550 & 24.7342152635363 \tabularnewline
0.21 & 165.866648599028 & 24.8578996209312 \tabularnewline
0.22 & 171.957521519269 & 25.2102732437967 \tabularnewline
0.23 & 178.014806817982 & 25.713642535868 \tabularnewline
0.24 & 184.069720261354 & 26.2571253208410 \tabularnewline
0.25 & 190.130709808325 & 26.7222409972454 \tabularnewline
0.26 & 196.183866409626 & 27.0097950520508 \tabularnewline
0.27 & 202.197268143641 & 27.053706873967 \tabularnewline
0.28 & 208.127999236201 & 26.8294646521594 \tabularnewline
0.29 & 213.930129428880 & 26.3508899957091 \tabularnewline
0.3 & 219.561990760449 & 25.6625374625357 \tabularnewline
0.31 & 224.991508917519 & 24.8270645013401 \tabularnewline
0.32 & 230.198930578002 & 23.9141476953552 \tabularnewline
0.33 & 235.176868483588 & 22.9861862042919 \tabularnewline
0.34 & 239.928066632894 & 22.0887432122874 \tabularnewline
0.35 & 244.461630299536 & 21.2445781624177 \tabularnewline
0.36 & 248.788655299813 & 20.4500875055731 \tabularnewline
0.37 & 252.918217689606 & 19.680756845198 \tabularnewline
0.38 & 256.85454397394 & 18.8987880991022 \tabularnewline
0.39 & 260.595889194948 & 18.0654242020238 \tabularnewline
0.4 & 264.135256486293 & 17.1519514859627 \tabularnewline
0.41 & 267.462679616737 & 16.1477164035960 \tabularnewline
0.42 & 270.568454915801 & 15.0633822218715 \tabularnewline
0.43 & 273.446529376229 & 13.9305538286536 \tabularnewline
0.44 & 276.097264476552 & 12.7945921470268 \tabularnewline
0.45 & 278.528984997008 & 11.7076544456780 \tabularnewline
0.46 & 280.758029019116 & 10.7187260153957 \tabularnewline
0.47 & 282.807356457817 & 9.86512195140618 \tabularnewline
0.48 & 284.704068203774 & 9.16742178632127 \tabularnewline
0.49 & 286.476378146165 & 8.62559626228707 \tabularnewline
0.5 & 288.150640257319 & 8.22116698322308 \tabularnewline
0.51 & 289.748968236943 & 7.92019916291347 \tabularnewline
0.52 & 291.287824969294 & 7.6848538634682 \tabularnewline
0.53 & 292.777745054721 & 7.4790311192764 \tabularnewline
0.54 & 294.224130913678 & 7.27482444020442 \tabularnewline
0.55 & 295.628872151297 & 7.05742556684633 \tabularnewline
0.56 & 296.992409949601 & 6.82538688442656 \tabularnewline
0.57 & 298.315820187901 & 6.58917254546474 \tabularnewline
0.58 & 299.602521309887 & 6.36829260841187 \tabularnewline
0.59 & 300.859310239049 & 6.18744339071408 \tabularnewline
0.6 & 302.096565031680 & 6.06877011618921 \tabularnewline
0.61 & 303.327596237483 & 6.02900414126962 \tabularnewline
0.62 & 304.567255664386 & 6.0735407716483 \tabularnewline
0.63 & 305.830008988589 & 6.19600840203171 \tabularnewline
0.64 & 307.127747168171 & 6.37715978514464 \tabularnewline
0.65 & 308.467656495259 & 6.58542707653466 \tabularnewline
0.66 & 309.850490196850 & 6.78374546734467 \tabularnewline
0.67 & 311.269576874168 & 6.93084288688356 \tabularnewline
0.68 & 312.710844043443 & 6.98899666464545 \tabularnewline
0.69 & 314.154010320987 & 6.92942395217957 \tabularnewline
0.7 & 315.574904962364 & 6.73685510036639 \tabularnewline
0.71 & 316.948634323957 & 6.41410008842738 \tabularnewline
0.72 & 318.2530864072 & 5.98277743977779 \tabularnewline
0.73 & 319.472117476097 & 5.47928156011367 \tabularnewline
0.74 & 320.597760169921 & 4.9490903074438 \tabularnewline
0.75 & 321.630957232045 & 4.44109704036676 \tabularnewline
0.76 & 322.580635387146 & 3.9964254876696 \tabularnewline
0.77 & 323.461317505651 & 3.64116095304688 \tabularnewline
0.78 & 324.289824600566 & 3.38172872230153 \tabularnewline
0.79 & 325.081837653986 & 3.20359811429592 \tabularnewline
0.8 & 325.849099910157 & 3.07725048737183 \tabularnewline
0.81 & 326.597830720921 & 2.96935926219076 \tabularnewline
0.82 & 327.328554472279 & 2.85218382696917 \tabularnewline
0.83 & 328.037147853432 & 2.70780028236462 \tabularnewline
0.84 & 328.716620907348 & 2.53072700275078 \tabularnewline
0.85 & 329.359071644651 & 2.32363570433558 \tabularnewline
0.86 & 329.957389937474 & 2.09507753018493 \tabularnewline
0.87 & 330.506531423716 & 1.85569117560463 \tabularnewline
0.88 & 331.004400798419 & 1.6170714821195 \tabularnewline
0.89 & 331.452502542453 & 1.39119902493473 \tabularnewline
0.9 & 331.856545263848 & 1.19075078509845 \tabularnewline
0.91 & 332.227099261014 & 1.02846358193864 \tabularnewline
0.92 & 332.580002367109 & 0.917089128229364 \tabularnewline
0.93 & 332.935247377945 & 0.868288970997121 \tabularnewline
0.94 & 333.311971134960 & 0.879563443580964 \tabularnewline
0.95 & 333.717722520769 & 0.912410915498331 \tabularnewline
0.96 & 334.134929924744 & 0.887722412699718 \tabularnewline
0.97 & 334.515774975861 & 0.730015867946958 \tabularnewline
0.98 & 334.799817048768 & 0.443447712490799 \tabularnewline
0.99 & 334.953484693755 & 0.150487533468005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78613&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]45.4534790478304[/C][C]7.84565275913049[/C][/ROW]
[ROW][C]0.02[/C][C]50.2059852488851[/C][C]6.3741572803887[/C][/ROW]
[ROW][C]0.03[/C][C]54.666000030491[/C][C]6.49177146905127[/C][/ROW]
[ROW][C]0.04[/C][C]58.6573412637319[/C][C]7.20573815362371[/C][/ROW]
[ROW][C]0.05[/C][C]62.477869986083[/C][C]8.212705895245[/C][/ROW]
[ROW][C]0.06[/C][C]66.4231968325955[/C][C]9.85923147102276[/C][/ROW]
[ROW][C]0.07[/C][C]70.7528264680748[/C][C]12.3179357058228[/C][/ROW]
[ROW][C]0.08[/C][C]75.68819802035[/C][C]15.3998215874291[/C][/ROW]
[ROW][C]0.09[/C][C]81.365865876192[/C][C]18.7007716966263[/C][/ROW]
[ROW][C]0.1[/C][C]87.799290787042[/C][C]21.7657324066858[/C][/ROW]
[ROW][C]0.11[/C][C]94.880123518425[/C][C]24.2258269976266[/C][/ROW]
[ROW][C]0.12[/C][C]102.414673613735[/C][C]25.8883494255479[/C][/ROW]
[ROW][C]0.13[/C][C]110.17637846669[/C][C]26.7547252710496[/C][/ROW]
[ROW][C]0.14[/C][C]117.954446855652[/C][C]26.9704348238113[/C][/ROW]
[ROW][C]0.15[/C][C]125.585855672046[/C][C]26.7423883425085[/C][/ROW]
[ROW][C]0.16[/C][C]132.967589134070[/C][C]26.2707182995594[/C][/ROW]
[ROW][C]0.17[/C][C]140.053645357258[/C][C]25.7194327684652[/C][/ROW]
[ROW][C]0.18[/C][C]146.844134891515[/C][C]25.2164977929555[/C][/ROW]
[ROW][C]0.19[/C][C]153.372294928254[/C][C]24.8637459113796[/C][/ROW]
[ROW][C]0.2[/C][C]159.692079247550[/C][C]24.7342152635363[/C][/ROW]
[ROW][C]0.21[/C][C]165.866648599028[/C][C]24.8578996209312[/C][/ROW]
[ROW][C]0.22[/C][C]171.957521519269[/C][C]25.2102732437967[/C][/ROW]
[ROW][C]0.23[/C][C]178.014806817982[/C][C]25.713642535868[/C][/ROW]
[ROW][C]0.24[/C][C]184.069720261354[/C][C]26.2571253208410[/C][/ROW]
[ROW][C]0.25[/C][C]190.130709808325[/C][C]26.7222409972454[/C][/ROW]
[ROW][C]0.26[/C][C]196.183866409626[/C][C]27.0097950520508[/C][/ROW]
[ROW][C]0.27[/C][C]202.197268143641[/C][C]27.053706873967[/C][/ROW]
[ROW][C]0.28[/C][C]208.127999236201[/C][C]26.8294646521594[/C][/ROW]
[ROW][C]0.29[/C][C]213.930129428880[/C][C]26.3508899957091[/C][/ROW]
[ROW][C]0.3[/C][C]219.561990760449[/C][C]25.6625374625357[/C][/ROW]
[ROW][C]0.31[/C][C]224.991508917519[/C][C]24.8270645013401[/C][/ROW]
[ROW][C]0.32[/C][C]230.198930578002[/C][C]23.9141476953552[/C][/ROW]
[ROW][C]0.33[/C][C]235.176868483588[/C][C]22.9861862042919[/C][/ROW]
[ROW][C]0.34[/C][C]239.928066632894[/C][C]22.0887432122874[/C][/ROW]
[ROW][C]0.35[/C][C]244.461630299536[/C][C]21.2445781624177[/C][/ROW]
[ROW][C]0.36[/C][C]248.788655299813[/C][C]20.4500875055731[/C][/ROW]
[ROW][C]0.37[/C][C]252.918217689606[/C][C]19.680756845198[/C][/ROW]
[ROW][C]0.38[/C][C]256.85454397394[/C][C]18.8987880991022[/C][/ROW]
[ROW][C]0.39[/C][C]260.595889194948[/C][C]18.0654242020238[/C][/ROW]
[ROW][C]0.4[/C][C]264.135256486293[/C][C]17.1519514859627[/C][/ROW]
[ROW][C]0.41[/C][C]267.462679616737[/C][C]16.1477164035960[/C][/ROW]
[ROW][C]0.42[/C][C]270.568454915801[/C][C]15.0633822218715[/C][/ROW]
[ROW][C]0.43[/C][C]273.446529376229[/C][C]13.9305538286536[/C][/ROW]
[ROW][C]0.44[/C][C]276.097264476552[/C][C]12.7945921470268[/C][/ROW]
[ROW][C]0.45[/C][C]278.528984997008[/C][C]11.7076544456780[/C][/ROW]
[ROW][C]0.46[/C][C]280.758029019116[/C][C]10.7187260153957[/C][/ROW]
[ROW][C]0.47[/C][C]282.807356457817[/C][C]9.86512195140618[/C][/ROW]
[ROW][C]0.48[/C][C]284.704068203774[/C][C]9.16742178632127[/C][/ROW]
[ROW][C]0.49[/C][C]286.476378146165[/C][C]8.62559626228707[/C][/ROW]
[ROW][C]0.5[/C][C]288.150640257319[/C][C]8.22116698322308[/C][/ROW]
[ROW][C]0.51[/C][C]289.748968236943[/C][C]7.92019916291347[/C][/ROW]
[ROW][C]0.52[/C][C]291.287824969294[/C][C]7.6848538634682[/C][/ROW]
[ROW][C]0.53[/C][C]292.777745054721[/C][C]7.4790311192764[/C][/ROW]
[ROW][C]0.54[/C][C]294.224130913678[/C][C]7.27482444020442[/C][/ROW]
[ROW][C]0.55[/C][C]295.628872151297[/C][C]7.05742556684633[/C][/ROW]
[ROW][C]0.56[/C][C]296.992409949601[/C][C]6.82538688442656[/C][/ROW]
[ROW][C]0.57[/C][C]298.315820187901[/C][C]6.58917254546474[/C][/ROW]
[ROW][C]0.58[/C][C]299.602521309887[/C][C]6.36829260841187[/C][/ROW]
[ROW][C]0.59[/C][C]300.859310239049[/C][C]6.18744339071408[/C][/ROW]
[ROW][C]0.6[/C][C]302.096565031680[/C][C]6.06877011618921[/C][/ROW]
[ROW][C]0.61[/C][C]303.327596237483[/C][C]6.02900414126962[/C][/ROW]
[ROW][C]0.62[/C][C]304.567255664386[/C][C]6.0735407716483[/C][/ROW]
[ROW][C]0.63[/C][C]305.830008988589[/C][C]6.19600840203171[/C][/ROW]
[ROW][C]0.64[/C][C]307.127747168171[/C][C]6.37715978514464[/C][/ROW]
[ROW][C]0.65[/C][C]308.467656495259[/C][C]6.58542707653466[/C][/ROW]
[ROW][C]0.66[/C][C]309.850490196850[/C][C]6.78374546734467[/C][/ROW]
[ROW][C]0.67[/C][C]311.269576874168[/C][C]6.93084288688356[/C][/ROW]
[ROW][C]0.68[/C][C]312.710844043443[/C][C]6.98899666464545[/C][/ROW]
[ROW][C]0.69[/C][C]314.154010320987[/C][C]6.92942395217957[/C][/ROW]
[ROW][C]0.7[/C][C]315.574904962364[/C][C]6.73685510036639[/C][/ROW]
[ROW][C]0.71[/C][C]316.948634323957[/C][C]6.41410008842738[/C][/ROW]
[ROW][C]0.72[/C][C]318.2530864072[/C][C]5.98277743977779[/C][/ROW]
[ROW][C]0.73[/C][C]319.472117476097[/C][C]5.47928156011367[/C][/ROW]
[ROW][C]0.74[/C][C]320.597760169921[/C][C]4.9490903074438[/C][/ROW]
[ROW][C]0.75[/C][C]321.630957232045[/C][C]4.44109704036676[/C][/ROW]
[ROW][C]0.76[/C][C]322.580635387146[/C][C]3.9964254876696[/C][/ROW]
[ROW][C]0.77[/C][C]323.461317505651[/C][C]3.64116095304688[/C][/ROW]
[ROW][C]0.78[/C][C]324.289824600566[/C][C]3.38172872230153[/C][/ROW]
[ROW][C]0.79[/C][C]325.081837653986[/C][C]3.20359811429592[/C][/ROW]
[ROW][C]0.8[/C][C]325.849099910157[/C][C]3.07725048737183[/C][/ROW]
[ROW][C]0.81[/C][C]326.597830720921[/C][C]2.96935926219076[/C][/ROW]
[ROW][C]0.82[/C][C]327.328554472279[/C][C]2.85218382696917[/C][/ROW]
[ROW][C]0.83[/C][C]328.037147853432[/C][C]2.70780028236462[/C][/ROW]
[ROW][C]0.84[/C][C]328.716620907348[/C][C]2.53072700275078[/C][/ROW]
[ROW][C]0.85[/C][C]329.359071644651[/C][C]2.32363570433558[/C][/ROW]
[ROW][C]0.86[/C][C]329.957389937474[/C][C]2.09507753018493[/C][/ROW]
[ROW][C]0.87[/C][C]330.506531423716[/C][C]1.85569117560463[/C][/ROW]
[ROW][C]0.88[/C][C]331.004400798419[/C][C]1.6170714821195[/C][/ROW]
[ROW][C]0.89[/C][C]331.452502542453[/C][C]1.39119902493473[/C][/ROW]
[ROW][C]0.9[/C][C]331.856545263848[/C][C]1.19075078509845[/C][/ROW]
[ROW][C]0.91[/C][C]332.227099261014[/C][C]1.02846358193864[/C][/ROW]
[ROW][C]0.92[/C][C]332.580002367109[/C][C]0.917089128229364[/C][/ROW]
[ROW][C]0.93[/C][C]332.935247377945[/C][C]0.868288970997121[/C][/ROW]
[ROW][C]0.94[/C][C]333.311971134960[/C][C]0.879563443580964[/C][/ROW]
[ROW][C]0.95[/C][C]333.717722520769[/C][C]0.912410915498331[/C][/ROW]
[ROW][C]0.96[/C][C]334.134929924744[/C][C]0.887722412699718[/C][/ROW]
[ROW][C]0.97[/C][C]334.515774975861[/C][C]0.730015867946958[/C][/ROW]
[ROW][C]0.98[/C][C]334.799817048768[/C][C]0.443447712490799[/C][/ROW]
[ROW][C]0.99[/C][C]334.953484693755[/C][C]0.150487533468005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78613&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78613&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
0.0145.45347904783047.84565275913049
0.0250.20598524888516.3741572803887
0.0354.6660000304916.49177146905127
0.0458.65734126373197.20573815362371
0.0562.4778699860838.212705895245
0.0666.42319683259559.85923147102276
0.0770.752826468074812.3179357058228
0.0875.6881980203515.3998215874291
0.0981.36586587619218.7007716966263
0.187.79929078704221.7657324066858
0.1194.88012351842524.2258269976266
0.12102.41467361373525.8883494255479
0.13110.1763784666926.7547252710496
0.14117.95444685565226.9704348238113
0.15125.58585567204626.7423883425085
0.16132.96758913407026.2707182995594
0.17140.05364535725825.7194327684652
0.18146.84413489151525.2164977929555
0.19153.37229492825424.8637459113796
0.2159.69207924755024.7342152635363
0.21165.86664859902824.8578996209312
0.22171.95752151926925.2102732437967
0.23178.01480681798225.713642535868
0.24184.06972026135426.2571253208410
0.25190.13070980832526.7222409972454
0.26196.18386640962627.0097950520508
0.27202.19726814364127.053706873967
0.28208.12799923620126.8294646521594
0.29213.93012942888026.3508899957091
0.3219.56199076044925.6625374625357
0.31224.99150891751924.8270645013401
0.32230.19893057800223.9141476953552
0.33235.17686848358822.9861862042919
0.34239.92806663289422.0887432122874
0.35244.46163029953621.2445781624177
0.36248.78865529981320.4500875055731
0.37252.91821768960619.680756845198
0.38256.8545439739418.8987880991022
0.39260.59588919494818.0654242020238
0.4264.13525648629317.1519514859627
0.41267.46267961673716.1477164035960
0.42270.56845491580115.0633822218715
0.43273.44652937622913.9305538286536
0.44276.09726447655212.7945921470268
0.45278.52898499700811.7076544456780
0.46280.75802901911610.7187260153957
0.47282.8073564578179.86512195140618
0.48284.7040682037749.16742178632127
0.49286.4763781461658.62559626228707
0.5288.1506402573198.22116698322308
0.51289.7489682369437.92019916291347
0.52291.2878249692947.6848538634682
0.53292.7777450547217.4790311192764
0.54294.2241309136787.27482444020442
0.55295.6288721512977.05742556684633
0.56296.9924099496016.82538688442656
0.57298.3158201879016.58917254546474
0.58299.6025213098876.36829260841187
0.59300.8593102390496.18744339071408
0.6302.0965650316806.06877011618921
0.61303.3275962374836.02900414126962
0.62304.5672556643866.0735407716483
0.63305.8300089885896.19600840203171
0.64307.1277471681716.37715978514464
0.65308.4676564952596.58542707653466
0.66309.8504901968506.78374546734467
0.67311.2695768741686.93084288688356
0.68312.7108440434436.98899666464545
0.69314.1540103209876.92942395217957
0.7315.5749049623646.73685510036639
0.71316.9486343239576.41410008842738
0.72318.25308640725.98277743977779
0.73319.4721174760975.47928156011367
0.74320.5977601699214.9490903074438
0.75321.6309572320454.44109704036676
0.76322.5806353871463.9964254876696
0.77323.4613175056513.64116095304688
0.78324.2898246005663.38172872230153
0.79325.0818376539863.20359811429592
0.8325.8490999101573.07725048737183
0.81326.5978307209212.96935926219076
0.82327.3285544722792.85218382696917
0.83328.0371478534322.70780028236462
0.84328.7166209073482.53072700275078
0.85329.3590716446512.32363570433558
0.86329.9573899374742.09507753018493
0.87330.5065314237161.85569117560463
0.88331.0044007984191.6170714821195
0.89331.4525025424531.39119902493473
0.9331.8565452638481.19075078509845
0.91332.2270992610141.02846358193864
0.92332.5800023671090.917089128229364
0.93332.9352473779450.868288970997121
0.94333.3119711349600.879563443580964
0.95333.7177225207690.912410915498331
0.96334.1349299247440.887722412699718
0.97334.5157749758610.730015867946958
0.98334.7998170487680.443447712490799
0.99334.9534846937550.150487533468005


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')