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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, 08 Mar 2011 11:17:15 +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/2011/Mar/08/t12995828476q3s9kk6o4mfq16.htm/, Retrieved Sat, 11 May 2024 04:21:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119731, Retrieved Sat, 11 May 2024 04:21:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact205

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] [Champagneverkoop ...] [2011-03-08 11:13:36] [94f6c7452971a0cd7a1ccb1b8ede8fc0]
- R P     [Harrell-Davis Quantiles] [Champagneverkoop ...] [2011-03-08 11:17:15] [f15ccc54f2a8b6277cfad9f11e1422d6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2851
2672
2755
2721
2946
3036
2282
2212
2922
4301
5764
7132
2541
2475
3031
3266
3776
3230
3028
1759
3595
4474
6838
8357
3113
3006
4047
3523
3937
3986
3260
1573
3528
5211
7614
9254
5375
3088
3718
4514
4520
4539
3663
1643
4734
5428
8314
10651
3633
4292
4154
4121
4647
4753
3965
1723
5048
6923
9858
11331
4016
3957
4510
4276
4968
4677
3523
1821
5222
6872
10803
13916
2639
2899
3370
3740
2927
3986
4217
1738
5221
6424
9842
13076
3934
3162
4286
4676
5010
4874
4633
1659
5951
6981
9851
12670

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 216.218.223.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119731&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 216.218.223.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119731&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119731&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011603.3355167356356.1377590921906
0.021646.3654528077355.5097228918323
0.031692.0036211665778.8711592963267
0.041745.71759349386124.054902052563
0.051815.5009492976185.471410218656
0.061905.16482074567248.489406684469
0.072012.50550179414296.052031123942
0.082130.3026632464317.939584295255
0.092249.34057377549314.236053509249
0.12361.64578690503292.463744280402
0.112462.34311443318262.281327099039
0.122549.80120887134231.475894219452
0.132624.7052330239204.413352128024
0.142688.87812449142182.393269983276
0.152744.37308010241164.86292748559
0.162792.99286626749150.663574802328
0.172836.16182665221138.906399083818
0.182874.99857170127129.27789400488
0.192910.45249976117121.999248060518
0.22943.41823880562117.524313475026
0.212974.79345877653116.305291093623
0.223005.48108775751118.561657435266
0.233036.3536891378124.20013905953
0.243068.20031145155132.803487671027
0.253101.6718185134143.69943509364
0.263137.23537041869156.014305190276
0.273175.14493125104168.784241780371
0.283215.43229852323181.042201112702
0.293257.92095710489191.910389538002
0.33302.26211506957200.723269794168
0.313347.98853119625207.071625642132
0.323394.57798551256210.870964585116
0.333441.51570759657212.31641036888
0.343488.34490466164211.807307258509
0.353534.69725128819209.857196570531
0.363580.30037310444206.938504570327
0.373624.96555605685203.385671438243
0.383668.56415962958199.362843986723
0.393711.00369307706194.905519450039
0.43752.21331823401189.989985271686
0.413792.1440719963184.651101127933
0.423830.78295539573179.073222969796
0.433868.1744155129173.620404436625
0.443904.43962284558168.785137584458
0.453939.7843335971165.097365351345
0.463974.48973800897162.983135656698
0.474008.88611361158162.663357545992
0.484043.31436219615164.065960926412
0.494078.08386392899166.885402244997
0.54113.43562800495170.619633414515
0.514149.51764998487174.699093968478
0.524186.37579181514178.601644319482
0.534223.95983146891181.877378198127
0.544262.14177192662184.214804159557
0.554300.74254170041185.447936146523
0.564339.56357239063185.555750936244
0.574378.42061292578184.659879038064
0.584417.17770932222183.040857855754
0.594455.77910217543181.162440737539
0.64494.27600860448179.569960492397
0.614532.844485913178.945328470542
0.624571.79063895148179.952926751644
0.634611.54098677231183.169289245867
0.644652.61904245502188.976170441834
0.654695.61364408979197.523310017332
0.664741.14918633181208.755067227807
0.674789.8709438828222.495330695106
0.684842.45817648562238.667156122996
0.694899.67197307707257.48699471141
0.74962.4332598358279.656894865384
0.715031.91054163236306.375355043488
0.725109.58097785637339.171621615218
0.735197.21915176395379.375219700379
0.745296.77341535116427.493062478423
0.755410.11615136109482.536652428722
0.765538.70167375839541.680728468206
0.775683.22345558269600.512313910926
0.785843.40895100482653.92048168642
0.796018.09628790062697.559361716672
0.86205.67785555823729.571622450292
0.816404.86754846753751.982593845528
0.826615.58191448686771.064261643784
0.836839.58613752893795.869986519676
0.847080.5237763616834.713618750719
0.857343.08348929417890.573912163142
0.867631.35918831899958.030785658286
0.877946.860667737871023.64141986872
0.888286.988401103011069.94545078435
0.898644.910770106841081.66569019217
0.99011.498648047611052.71007981224
0.919379.24563169972991.42283934551
0.929747.17070498004921.255600674461
0.9310124.9447369409874.593746424228
0.9410533.9044463339880.143461997277
0.9511001.917805445944.796766330309
0.9611550.0558385641029.08080198904
0.9712176.72443902341040.95103285811
0.9812851.6615375351917.930506691028
0.9913497.7797506675792.993255576766

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1603.33551673563 & 56.1377590921906 \tabularnewline
0.02 & 1646.36545280773 & 55.5097228918323 \tabularnewline
0.03 & 1692.00362116657 & 78.8711592963267 \tabularnewline
0.04 & 1745.71759349386 & 124.054902052563 \tabularnewline
0.05 & 1815.5009492976 & 185.471410218656 \tabularnewline
0.06 & 1905.16482074567 & 248.489406684469 \tabularnewline
0.07 & 2012.50550179414 & 296.052031123942 \tabularnewline
0.08 & 2130.3026632464 & 317.939584295255 \tabularnewline
0.09 & 2249.34057377549 & 314.236053509249 \tabularnewline
0.1 & 2361.64578690503 & 292.463744280402 \tabularnewline
0.11 & 2462.34311443318 & 262.281327099039 \tabularnewline
0.12 & 2549.80120887134 & 231.475894219452 \tabularnewline
0.13 & 2624.7052330239 & 204.413352128024 \tabularnewline
0.14 & 2688.87812449142 & 182.393269983276 \tabularnewline
0.15 & 2744.37308010241 & 164.86292748559 \tabularnewline
0.16 & 2792.99286626749 & 150.663574802328 \tabularnewline
0.17 & 2836.16182665221 & 138.906399083818 \tabularnewline
0.18 & 2874.99857170127 & 129.27789400488 \tabularnewline
0.19 & 2910.45249976117 & 121.999248060518 \tabularnewline
0.2 & 2943.41823880562 & 117.524313475026 \tabularnewline
0.21 & 2974.79345877653 & 116.305291093623 \tabularnewline
0.22 & 3005.48108775751 & 118.561657435266 \tabularnewline
0.23 & 3036.3536891378 & 124.20013905953 \tabularnewline
0.24 & 3068.20031145155 & 132.803487671027 \tabularnewline
0.25 & 3101.6718185134 & 143.69943509364 \tabularnewline
0.26 & 3137.23537041869 & 156.014305190276 \tabularnewline
0.27 & 3175.14493125104 & 168.784241780371 \tabularnewline
0.28 & 3215.43229852323 & 181.042201112702 \tabularnewline
0.29 & 3257.92095710489 & 191.910389538002 \tabularnewline
0.3 & 3302.26211506957 & 200.723269794168 \tabularnewline
0.31 & 3347.98853119625 & 207.071625642132 \tabularnewline
0.32 & 3394.57798551256 & 210.870964585116 \tabularnewline
0.33 & 3441.51570759657 & 212.31641036888 \tabularnewline
0.34 & 3488.34490466164 & 211.807307258509 \tabularnewline
0.35 & 3534.69725128819 & 209.857196570531 \tabularnewline
0.36 & 3580.30037310444 & 206.938504570327 \tabularnewline
0.37 & 3624.96555605685 & 203.385671438243 \tabularnewline
0.38 & 3668.56415962958 & 199.362843986723 \tabularnewline
0.39 & 3711.00369307706 & 194.905519450039 \tabularnewline
0.4 & 3752.21331823401 & 189.989985271686 \tabularnewline
0.41 & 3792.1440719963 & 184.651101127933 \tabularnewline
0.42 & 3830.78295539573 & 179.073222969796 \tabularnewline
0.43 & 3868.1744155129 & 173.620404436625 \tabularnewline
0.44 & 3904.43962284558 & 168.785137584458 \tabularnewline
0.45 & 3939.7843335971 & 165.097365351345 \tabularnewline
0.46 & 3974.48973800897 & 162.983135656698 \tabularnewline
0.47 & 4008.88611361158 & 162.663357545992 \tabularnewline
0.48 & 4043.31436219615 & 164.065960926412 \tabularnewline
0.49 & 4078.08386392899 & 166.885402244997 \tabularnewline
0.5 & 4113.43562800495 & 170.619633414515 \tabularnewline
0.51 & 4149.51764998487 & 174.699093968478 \tabularnewline
0.52 & 4186.37579181514 & 178.601644319482 \tabularnewline
0.53 & 4223.95983146891 & 181.877378198127 \tabularnewline
0.54 & 4262.14177192662 & 184.214804159557 \tabularnewline
0.55 & 4300.74254170041 & 185.447936146523 \tabularnewline
0.56 & 4339.56357239063 & 185.555750936244 \tabularnewline
0.57 & 4378.42061292578 & 184.659879038064 \tabularnewline
0.58 & 4417.17770932222 & 183.040857855754 \tabularnewline
0.59 & 4455.77910217543 & 181.162440737539 \tabularnewline
0.6 & 4494.27600860448 & 179.569960492397 \tabularnewline
0.61 & 4532.844485913 & 178.945328470542 \tabularnewline
0.62 & 4571.79063895148 & 179.952926751644 \tabularnewline
0.63 & 4611.54098677231 & 183.169289245867 \tabularnewline
0.64 & 4652.61904245502 & 188.976170441834 \tabularnewline
0.65 & 4695.61364408979 & 197.523310017332 \tabularnewline
0.66 & 4741.14918633181 & 208.755067227807 \tabularnewline
0.67 & 4789.8709438828 & 222.495330695106 \tabularnewline
0.68 & 4842.45817648562 & 238.667156122996 \tabularnewline
0.69 & 4899.67197307707 & 257.48699471141 \tabularnewline
0.7 & 4962.4332598358 & 279.656894865384 \tabularnewline
0.71 & 5031.91054163236 & 306.375355043488 \tabularnewline
0.72 & 5109.58097785637 & 339.171621615218 \tabularnewline
0.73 & 5197.21915176395 & 379.375219700379 \tabularnewline
0.74 & 5296.77341535116 & 427.493062478423 \tabularnewline
0.75 & 5410.11615136109 & 482.536652428722 \tabularnewline
0.76 & 5538.70167375839 & 541.680728468206 \tabularnewline
0.77 & 5683.22345558269 & 600.512313910926 \tabularnewline
0.78 & 5843.40895100482 & 653.92048168642 \tabularnewline
0.79 & 6018.09628790062 & 697.559361716672 \tabularnewline
0.8 & 6205.67785555823 & 729.571622450292 \tabularnewline
0.81 & 6404.86754846753 & 751.982593845528 \tabularnewline
0.82 & 6615.58191448686 & 771.064261643784 \tabularnewline
0.83 & 6839.58613752893 & 795.869986519676 \tabularnewline
0.84 & 7080.5237763616 & 834.713618750719 \tabularnewline
0.85 & 7343.08348929417 & 890.573912163142 \tabularnewline
0.86 & 7631.35918831899 & 958.030785658286 \tabularnewline
0.87 & 7946.86066773787 & 1023.64141986872 \tabularnewline
0.88 & 8286.98840110301 & 1069.94545078435 \tabularnewline
0.89 & 8644.91077010684 & 1081.66569019217 \tabularnewline
0.9 & 9011.49864804761 & 1052.71007981224 \tabularnewline
0.91 & 9379.24563169972 & 991.42283934551 \tabularnewline
0.92 & 9747.17070498004 & 921.255600674461 \tabularnewline
0.93 & 10124.9447369409 & 874.593746424228 \tabularnewline
0.94 & 10533.9044463339 & 880.143461997277 \tabularnewline
0.95 & 11001.917805445 & 944.796766330309 \tabularnewline
0.96 & 11550.055838564 & 1029.08080198904 \tabularnewline
0.97 & 12176.7244390234 & 1040.95103285811 \tabularnewline
0.98 & 12851.6615375351 & 917.930506691028 \tabularnewline
0.99 & 13497.7797506675 & 792.993255576766 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119731&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]1603.33551673563[/C][C]56.1377590921906[/C][/ROW]
[ROW][C]0.02[/C][C]1646.36545280773[/C][C]55.5097228918323[/C][/ROW]
[ROW][C]0.03[/C][C]1692.00362116657[/C][C]78.8711592963267[/C][/ROW]
[ROW][C]0.04[/C][C]1745.71759349386[/C][C]124.054902052563[/C][/ROW]
[ROW][C]0.05[/C][C]1815.5009492976[/C][C]185.471410218656[/C][/ROW]
[ROW][C]0.06[/C][C]1905.16482074567[/C][C]248.489406684469[/C][/ROW]
[ROW][C]0.07[/C][C]2012.50550179414[/C][C]296.052031123942[/C][/ROW]
[ROW][C]0.08[/C][C]2130.3026632464[/C][C]317.939584295255[/C][/ROW]
[ROW][C]0.09[/C][C]2249.34057377549[/C][C]314.236053509249[/C][/ROW]
[ROW][C]0.1[/C][C]2361.64578690503[/C][C]292.463744280402[/C][/ROW]
[ROW][C]0.11[/C][C]2462.34311443318[/C][C]262.281327099039[/C][/ROW]
[ROW][C]0.12[/C][C]2549.80120887134[/C][C]231.475894219452[/C][/ROW]
[ROW][C]0.13[/C][C]2624.7052330239[/C][C]204.413352128024[/C][/ROW]
[ROW][C]0.14[/C][C]2688.87812449142[/C][C]182.393269983276[/C][/ROW]
[ROW][C]0.15[/C][C]2744.37308010241[/C][C]164.86292748559[/C][/ROW]
[ROW][C]0.16[/C][C]2792.99286626749[/C][C]150.663574802328[/C][/ROW]
[ROW][C]0.17[/C][C]2836.16182665221[/C][C]138.906399083818[/C][/ROW]
[ROW][C]0.18[/C][C]2874.99857170127[/C][C]129.27789400488[/C][/ROW]
[ROW][C]0.19[/C][C]2910.45249976117[/C][C]121.999248060518[/C][/ROW]
[ROW][C]0.2[/C][C]2943.41823880562[/C][C]117.524313475026[/C][/ROW]
[ROW][C]0.21[/C][C]2974.79345877653[/C][C]116.305291093623[/C][/ROW]
[ROW][C]0.22[/C][C]3005.48108775751[/C][C]118.561657435266[/C][/ROW]
[ROW][C]0.23[/C][C]3036.3536891378[/C][C]124.20013905953[/C][/ROW]
[ROW][C]0.24[/C][C]3068.20031145155[/C][C]132.803487671027[/C][/ROW]
[ROW][C]0.25[/C][C]3101.6718185134[/C][C]143.69943509364[/C][/ROW]
[ROW][C]0.26[/C][C]3137.23537041869[/C][C]156.014305190276[/C][/ROW]
[ROW][C]0.27[/C][C]3175.14493125104[/C][C]168.784241780371[/C][/ROW]
[ROW][C]0.28[/C][C]3215.43229852323[/C][C]181.042201112702[/C][/ROW]
[ROW][C]0.29[/C][C]3257.92095710489[/C][C]191.910389538002[/C][/ROW]
[ROW][C]0.3[/C][C]3302.26211506957[/C][C]200.723269794168[/C][/ROW]
[ROW][C]0.31[/C][C]3347.98853119625[/C][C]207.071625642132[/C][/ROW]
[ROW][C]0.32[/C][C]3394.57798551256[/C][C]210.870964585116[/C][/ROW]
[ROW][C]0.33[/C][C]3441.51570759657[/C][C]212.31641036888[/C][/ROW]
[ROW][C]0.34[/C][C]3488.34490466164[/C][C]211.807307258509[/C][/ROW]
[ROW][C]0.35[/C][C]3534.69725128819[/C][C]209.857196570531[/C][/ROW]
[ROW][C]0.36[/C][C]3580.30037310444[/C][C]206.938504570327[/C][/ROW]
[ROW][C]0.37[/C][C]3624.96555605685[/C][C]203.385671438243[/C][/ROW]
[ROW][C]0.38[/C][C]3668.56415962958[/C][C]199.362843986723[/C][/ROW]
[ROW][C]0.39[/C][C]3711.00369307706[/C][C]194.905519450039[/C][/ROW]
[ROW][C]0.4[/C][C]3752.21331823401[/C][C]189.989985271686[/C][/ROW]
[ROW][C]0.41[/C][C]3792.1440719963[/C][C]184.651101127933[/C][/ROW]
[ROW][C]0.42[/C][C]3830.78295539573[/C][C]179.073222969796[/C][/ROW]
[ROW][C]0.43[/C][C]3868.1744155129[/C][C]173.620404436625[/C][/ROW]
[ROW][C]0.44[/C][C]3904.43962284558[/C][C]168.785137584458[/C][/ROW]
[ROW][C]0.45[/C][C]3939.7843335971[/C][C]165.097365351345[/C][/ROW]
[ROW][C]0.46[/C][C]3974.48973800897[/C][C]162.983135656698[/C][/ROW]
[ROW][C]0.47[/C][C]4008.88611361158[/C][C]162.663357545992[/C][/ROW]
[ROW][C]0.48[/C][C]4043.31436219615[/C][C]164.065960926412[/C][/ROW]
[ROW][C]0.49[/C][C]4078.08386392899[/C][C]166.885402244997[/C][/ROW]
[ROW][C]0.5[/C][C]4113.43562800495[/C][C]170.619633414515[/C][/ROW]
[ROW][C]0.51[/C][C]4149.51764998487[/C][C]174.699093968478[/C][/ROW]
[ROW][C]0.52[/C][C]4186.37579181514[/C][C]178.601644319482[/C][/ROW]
[ROW][C]0.53[/C][C]4223.95983146891[/C][C]181.877378198127[/C][/ROW]
[ROW][C]0.54[/C][C]4262.14177192662[/C][C]184.214804159557[/C][/ROW]
[ROW][C]0.55[/C][C]4300.74254170041[/C][C]185.447936146523[/C][/ROW]
[ROW][C]0.56[/C][C]4339.56357239063[/C][C]185.555750936244[/C][/ROW]
[ROW][C]0.57[/C][C]4378.42061292578[/C][C]184.659879038064[/C][/ROW]
[ROW][C]0.58[/C][C]4417.17770932222[/C][C]183.040857855754[/C][/ROW]
[ROW][C]0.59[/C][C]4455.77910217543[/C][C]181.162440737539[/C][/ROW]
[ROW][C]0.6[/C][C]4494.27600860448[/C][C]179.569960492397[/C][/ROW]
[ROW][C]0.61[/C][C]4532.844485913[/C][C]178.945328470542[/C][/ROW]
[ROW][C]0.62[/C][C]4571.79063895148[/C][C]179.952926751644[/C][/ROW]
[ROW][C]0.63[/C][C]4611.54098677231[/C][C]183.169289245867[/C][/ROW]
[ROW][C]0.64[/C][C]4652.61904245502[/C][C]188.976170441834[/C][/ROW]
[ROW][C]0.65[/C][C]4695.61364408979[/C][C]197.523310017332[/C][/ROW]
[ROW][C]0.66[/C][C]4741.14918633181[/C][C]208.755067227807[/C][/ROW]
[ROW][C]0.67[/C][C]4789.8709438828[/C][C]222.495330695106[/C][/ROW]
[ROW][C]0.68[/C][C]4842.45817648562[/C][C]238.667156122996[/C][/ROW]
[ROW][C]0.69[/C][C]4899.67197307707[/C][C]257.48699471141[/C][/ROW]
[ROW][C]0.7[/C][C]4962.4332598358[/C][C]279.656894865384[/C][/ROW]
[ROW][C]0.71[/C][C]5031.91054163236[/C][C]306.375355043488[/C][/ROW]
[ROW][C]0.72[/C][C]5109.58097785637[/C][C]339.171621615218[/C][/ROW]
[ROW][C]0.73[/C][C]5197.21915176395[/C][C]379.375219700379[/C][/ROW]
[ROW][C]0.74[/C][C]5296.77341535116[/C][C]427.493062478423[/C][/ROW]
[ROW][C]0.75[/C][C]5410.11615136109[/C][C]482.536652428722[/C][/ROW]
[ROW][C]0.76[/C][C]5538.70167375839[/C][C]541.680728468206[/C][/ROW]
[ROW][C]0.77[/C][C]5683.22345558269[/C][C]600.512313910926[/C][/ROW]
[ROW][C]0.78[/C][C]5843.40895100482[/C][C]653.92048168642[/C][/ROW]
[ROW][C]0.79[/C][C]6018.09628790062[/C][C]697.559361716672[/C][/ROW]
[ROW][C]0.8[/C][C]6205.67785555823[/C][C]729.571622450292[/C][/ROW]
[ROW][C]0.81[/C][C]6404.86754846753[/C][C]751.982593845528[/C][/ROW]
[ROW][C]0.82[/C][C]6615.58191448686[/C][C]771.064261643784[/C][/ROW]
[ROW][C]0.83[/C][C]6839.58613752893[/C][C]795.869986519676[/C][/ROW]
[ROW][C]0.84[/C][C]7080.5237763616[/C][C]834.713618750719[/C][/ROW]
[ROW][C]0.85[/C][C]7343.08348929417[/C][C]890.573912163142[/C][/ROW]
[ROW][C]0.86[/C][C]7631.35918831899[/C][C]958.030785658286[/C][/ROW]
[ROW][C]0.87[/C][C]7946.86066773787[/C][C]1023.64141986872[/C][/ROW]
[ROW][C]0.88[/C][C]8286.98840110301[/C][C]1069.94545078435[/C][/ROW]
[ROW][C]0.89[/C][C]8644.91077010684[/C][C]1081.66569019217[/C][/ROW]
[ROW][C]0.9[/C][C]9011.49864804761[/C][C]1052.71007981224[/C][/ROW]
[ROW][C]0.91[/C][C]9379.24563169972[/C][C]991.42283934551[/C][/ROW]
[ROW][C]0.92[/C][C]9747.17070498004[/C][C]921.255600674461[/C][/ROW]
[ROW][C]0.93[/C][C]10124.9447369409[/C][C]874.593746424228[/C][/ROW]
[ROW][C]0.94[/C][C]10533.9044463339[/C][C]880.143461997277[/C][/ROW]
[ROW][C]0.95[/C][C]11001.917805445[/C][C]944.796766330309[/C][/ROW]
[ROW][C]0.96[/C][C]11550.055838564[/C][C]1029.08080198904[/C][/ROW]
[ROW][C]0.97[/C][C]12176.7244390234[/C][C]1040.95103285811[/C][/ROW]
[ROW][C]0.98[/C][C]12851.6615375351[/C][C]917.930506691028[/C][/ROW]
[ROW][C]0.99[/C][C]13497.7797506675[/C][C]792.993255576766[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119731&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119731&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
0.011603.3355167356356.1377590921906
0.021646.3654528077355.5097228918323
0.031692.0036211665778.8711592963267
0.041745.71759349386124.054902052563
0.051815.5009492976185.471410218656
0.061905.16482074567248.489406684469
0.072012.50550179414296.052031123942
0.082130.3026632464317.939584295255
0.092249.34057377549314.236053509249
0.12361.64578690503292.463744280402
0.112462.34311443318262.281327099039
0.122549.80120887134231.475894219452
0.132624.7052330239204.413352128024
0.142688.87812449142182.393269983276
0.152744.37308010241164.86292748559
0.162792.99286626749150.663574802328
0.172836.16182665221138.906399083818
0.182874.99857170127129.27789400488
0.192910.45249976117121.999248060518
0.22943.41823880562117.524313475026
0.212974.79345877653116.305291093623
0.223005.48108775751118.561657435266
0.233036.3536891378124.20013905953
0.243068.20031145155132.803487671027
0.253101.6718185134143.69943509364
0.263137.23537041869156.014305190276
0.273175.14493125104168.784241780371
0.283215.43229852323181.042201112702
0.293257.92095710489191.910389538002
0.33302.26211506957200.723269794168
0.313347.98853119625207.071625642132
0.323394.57798551256210.870964585116
0.333441.51570759657212.31641036888
0.343488.34490466164211.807307258509
0.353534.69725128819209.857196570531
0.363580.30037310444206.938504570327
0.373624.96555605685203.385671438243
0.383668.56415962958199.362843986723
0.393711.00369307706194.905519450039
0.43752.21331823401189.989985271686
0.413792.1440719963184.651101127933
0.423830.78295539573179.073222969796
0.433868.1744155129173.620404436625
0.443904.43962284558168.785137584458
0.453939.7843335971165.097365351345
0.463974.48973800897162.983135656698
0.474008.88611361158162.663357545992
0.484043.31436219615164.065960926412
0.494078.08386392899166.885402244997
0.54113.43562800495170.619633414515
0.514149.51764998487174.699093968478
0.524186.37579181514178.601644319482
0.534223.95983146891181.877378198127
0.544262.14177192662184.214804159557
0.554300.74254170041185.447936146523
0.564339.56357239063185.555750936244
0.574378.42061292578184.659879038064
0.584417.17770932222183.040857855754
0.594455.77910217543181.162440737539
0.64494.27600860448179.569960492397
0.614532.844485913178.945328470542
0.624571.79063895148179.952926751644
0.634611.54098677231183.169289245867
0.644652.61904245502188.976170441834
0.654695.61364408979197.523310017332
0.664741.14918633181208.755067227807
0.674789.8709438828222.495330695106
0.684842.45817648562238.667156122996
0.694899.67197307707257.48699471141
0.74962.4332598358279.656894865384
0.715031.91054163236306.375355043488
0.725109.58097785637339.171621615218
0.735197.21915176395379.375219700379
0.745296.77341535116427.493062478423
0.755410.11615136109482.536652428722
0.765538.70167375839541.680728468206
0.775683.22345558269600.512313910926
0.785843.40895100482653.92048168642
0.796018.09628790062697.559361716672
0.86205.67785555823729.571622450292
0.816404.86754846753751.982593845528
0.826615.58191448686771.064261643784
0.836839.58613752893795.869986519676
0.847080.5237763616834.713618750719
0.857343.08348929417890.573912163142
0.867631.35918831899958.030785658286
0.877946.860667737871023.64141986872
0.888286.988401103011069.94545078435
0.898644.910770106841081.66569019217
0.99011.498648047611052.71007981224
0.919379.24563169972991.42283934551
0.929747.17070498004921.255600674461
0.9310124.9447369409874.593746424228
0.9410533.9044463339880.143461997277
0.9511001.917805445944.796766330309
0.9611550.0558385641029.08080198904
0.9712176.72443902341040.95103285811
0.9812851.6615375351917.930506691028
0.9913497.7797506675792.993255576766


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')