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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 computationSat, 06 Jun 2009 08:11:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/06/t12442975559s0q13bs4xc3v02.htm/, Retrieved Sun, 28 Apr 2024 20:07:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42002, Retrieved Sun, 28 Apr 2024 20:07:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [Bruto schuld van ...] [2009-06-06 14:05:59] [ef653b42671acc8de32235b938c43afe]
-   P     [Harrell-Davis Quantiles] [Bruto schuld van ...] [2009-06-06 14:11:44] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
266433
267722
266003
262971
265521
264676
270223
269508
268457
265814
266680
263018
269285
269829
270911
266844
271244
269907
271296
270157
271322
267179
264101
265518
269419
268714
272482
268351
268175
270674
272764
272599
270333
270846
270491
269160
274027
273784
276663
274525
271344
271115
270798
273911
273985
271917
273338
270601
273547
275363
281229
277793
279913
282500
280041
282166
290304
283519
287816
285226
287595
289741
289148
288301
290155
289648
288225
289351
294735
305333
309030
310215
321935

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'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42002&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42002&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42002&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01263092.734023474346.905318914054
0.02263366.180327834687.7472713663
0.03263753.779450268879.54597763833
0.04264185.205488316917.096693122265
0.05264601.394273923866.336652890093
0.06264971.764090035786.823358861551
0.07265290.349780279715.603525204669
0.08265565.206328057672.528445977772
0.09265809.411457963662.526452247218
0.1266035.659993956679.438670545666
0.11266253.800829614713.096197946945
0.12266470.236535188754.415559673743
0.13266688.296131868796.164844514036
0.14266908.963316096833.676346376247
0.15267131.611546808862.889678588803
0.16267354.617837543881.611089068555
0.17267575.852706249888.144535336378
0.18267793.075704667883.159753285272
0.19268004.247408655868.337110267558
0.2268207.746617757846.329272241
0.21268402.479532851819.726811511974
0.22268587.88424612790.785254886801
0.23268763.854833906761.16128572602
0.24268930.621815669732.469304426683
0.25269088.625128557704.281235930306
0.26269238.405299162677.735411929395
0.27269380.524844892652.397648945521
0.28269515.520799704628.062401752166
0.29269643.883137022604.513266240729
0.3269766.052261389582.507119213263
0.31269882.429671647560.863989763968
0.32269993.397427906539.886703297331
0.33270099.343134507520.313704568958
0.34270200.687645069502.239025132589
0.35270297.912941176485.846359093247
0.36270391.587963467471.897760477531
0.37270482.390647566461.574090877885
0.38270571.124847008455.626298709602
0.39270658.730944671454.456426947566
0.4270746.288625424459.50556625036
0.41270835.009623509471.296688393011
0.42270926.217646603490.720427271581
0.43271021.312646384518.07457491227
0.44271121.717659265554.16297101771
0.45271228.808865134597.46178205719
0.46271343.833211223646.891715580289
0.47271467.822383061701.337345322632
0.48271601.516150125758.920738259602
0.49271745.311041766816.740978092536
0.5271899.250847909873.068304851324
0.51272063.072843724925.531224377232
0.52272236.317691063973.1689217128
0.53272418.5020724241016.17270239868
0.54272609.3422539441056.30074117019
0.55272809.0054166761096.10750984238
0.56273018.3555294581141.04704383197
0.57273239.1537101041196.66471481915
0.58273474.171341551269.79701193352
0.59273727.1792635031366.61375516432
0.6274002.7890248111490.94271114314
0.61274306.1421454371645.04814045958
0.62274642.4686567351827.18928990002
0.63275016.5630792792032.27389110377
0.64275432.2490719132252.30583408935
0.65275891.9170920562477.23271686089
0.66276396.2170414492696.10740538787
0.67276943.9669282202897.99718777491
0.68277532.2999960283074.52928499324
0.69278157.0225202703219.63873675679
0.7278813.1033130833330.69141891281
0.71279495.1776895413409.49091986951
0.72280197.9367033143458.88125481056
0.73280916.2957298813482.67728349967
0.74281645.2950191983484.54330274289
0.75282379.767362463463.76477684946
0.76283113.8926013953417.50819376757
0.77283840.8178688053339.64864829620
0.78284552.5321878203223.69868607299
0.79285240.1346337573064.90010813828
0.8285894.5396023322862.83225087988
0.81286507.5577753582623.29490927124
0.82287073.2290925592357.89881837274
0.83287589.3119857342083.60938321104
0.84288058.9681432921822.40028040847
0.85288492.8826604791600.44275682326
0.86288912.2033658631452.49053085625
0.87289352.5607892161430.59832778140
0.88289868.7794721821606.95428860691
0.89290538.5259106862055.58540432395
0.9291461.2356084362821.75677963916
0.91292747.2101305353895.89850751892
0.92294492.9677712175176.58864771222
0.93296745.8931389296437.37258325005
0.94299475.9030746177345.21917305231
0.95302589.0852769247585.72939145588
0.96306014.5064291227113.52589108472
0.97309821.0142175846502.25372821841
0.98314149.0299987657053.12929284924
0.99318671.2903902479287.08987382127

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 263092.734023474 & 346.905318914054 \tabularnewline
0.02 & 263366.180327834 & 687.7472713663 \tabularnewline
0.03 & 263753.779450268 & 879.54597763833 \tabularnewline
0.04 & 264185.205488316 & 917.096693122265 \tabularnewline
0.05 & 264601.394273923 & 866.336652890093 \tabularnewline
0.06 & 264971.764090035 & 786.823358861551 \tabularnewline
0.07 & 265290.349780279 & 715.603525204669 \tabularnewline
0.08 & 265565.206328057 & 672.528445977772 \tabularnewline
0.09 & 265809.411457963 & 662.526452247218 \tabularnewline
0.1 & 266035.659993956 & 679.438670545666 \tabularnewline
0.11 & 266253.800829614 & 713.096197946945 \tabularnewline
0.12 & 266470.236535188 & 754.415559673743 \tabularnewline
0.13 & 266688.296131868 & 796.164844514036 \tabularnewline
0.14 & 266908.963316096 & 833.676346376247 \tabularnewline
0.15 & 267131.611546808 & 862.889678588803 \tabularnewline
0.16 & 267354.617837543 & 881.611089068555 \tabularnewline
0.17 & 267575.852706249 & 888.144535336378 \tabularnewline
0.18 & 267793.075704667 & 883.159753285272 \tabularnewline
0.19 & 268004.247408655 & 868.337110267558 \tabularnewline
0.2 & 268207.746617757 & 846.329272241 \tabularnewline
0.21 & 268402.479532851 & 819.726811511974 \tabularnewline
0.22 & 268587.88424612 & 790.785254886801 \tabularnewline
0.23 & 268763.854833906 & 761.16128572602 \tabularnewline
0.24 & 268930.621815669 & 732.469304426683 \tabularnewline
0.25 & 269088.625128557 & 704.281235930306 \tabularnewline
0.26 & 269238.405299162 & 677.735411929395 \tabularnewline
0.27 & 269380.524844892 & 652.397648945521 \tabularnewline
0.28 & 269515.520799704 & 628.062401752166 \tabularnewline
0.29 & 269643.883137022 & 604.513266240729 \tabularnewline
0.3 & 269766.052261389 & 582.507119213263 \tabularnewline
0.31 & 269882.429671647 & 560.863989763968 \tabularnewline
0.32 & 269993.397427906 & 539.886703297331 \tabularnewline
0.33 & 270099.343134507 & 520.313704568958 \tabularnewline
0.34 & 270200.687645069 & 502.239025132589 \tabularnewline
0.35 & 270297.912941176 & 485.846359093247 \tabularnewline
0.36 & 270391.587963467 & 471.897760477531 \tabularnewline
0.37 & 270482.390647566 & 461.574090877885 \tabularnewline
0.38 & 270571.124847008 & 455.626298709602 \tabularnewline
0.39 & 270658.730944671 & 454.456426947566 \tabularnewline
0.4 & 270746.288625424 & 459.50556625036 \tabularnewline
0.41 & 270835.009623509 & 471.296688393011 \tabularnewline
0.42 & 270926.217646603 & 490.720427271581 \tabularnewline
0.43 & 271021.312646384 & 518.07457491227 \tabularnewline
0.44 & 271121.717659265 & 554.16297101771 \tabularnewline
0.45 & 271228.808865134 & 597.46178205719 \tabularnewline
0.46 & 271343.833211223 & 646.891715580289 \tabularnewline
0.47 & 271467.822383061 & 701.337345322632 \tabularnewline
0.48 & 271601.516150125 & 758.920738259602 \tabularnewline
0.49 & 271745.311041766 & 816.740978092536 \tabularnewline
0.5 & 271899.250847909 & 873.068304851324 \tabularnewline
0.51 & 272063.072843724 & 925.531224377232 \tabularnewline
0.52 & 272236.317691063 & 973.1689217128 \tabularnewline
0.53 & 272418.502072424 & 1016.17270239868 \tabularnewline
0.54 & 272609.342253944 & 1056.30074117019 \tabularnewline
0.55 & 272809.005416676 & 1096.10750984238 \tabularnewline
0.56 & 273018.355529458 & 1141.04704383197 \tabularnewline
0.57 & 273239.153710104 & 1196.66471481915 \tabularnewline
0.58 & 273474.17134155 & 1269.79701193352 \tabularnewline
0.59 & 273727.179263503 & 1366.61375516432 \tabularnewline
0.6 & 274002.789024811 & 1490.94271114314 \tabularnewline
0.61 & 274306.142145437 & 1645.04814045958 \tabularnewline
0.62 & 274642.468656735 & 1827.18928990002 \tabularnewline
0.63 & 275016.563079279 & 2032.27389110377 \tabularnewline
0.64 & 275432.249071913 & 2252.30583408935 \tabularnewline
0.65 & 275891.917092056 & 2477.23271686089 \tabularnewline
0.66 & 276396.217041449 & 2696.10740538787 \tabularnewline
0.67 & 276943.966928220 & 2897.99718777491 \tabularnewline
0.68 & 277532.299996028 & 3074.52928499324 \tabularnewline
0.69 & 278157.022520270 & 3219.63873675679 \tabularnewline
0.7 & 278813.103313083 & 3330.69141891281 \tabularnewline
0.71 & 279495.177689541 & 3409.49091986951 \tabularnewline
0.72 & 280197.936703314 & 3458.88125481056 \tabularnewline
0.73 & 280916.295729881 & 3482.67728349967 \tabularnewline
0.74 & 281645.295019198 & 3484.54330274289 \tabularnewline
0.75 & 282379.76736246 & 3463.76477684946 \tabularnewline
0.76 & 283113.892601395 & 3417.50819376757 \tabularnewline
0.77 & 283840.817868805 & 3339.64864829620 \tabularnewline
0.78 & 284552.532187820 & 3223.69868607299 \tabularnewline
0.79 & 285240.134633757 & 3064.90010813828 \tabularnewline
0.8 & 285894.539602332 & 2862.83225087988 \tabularnewline
0.81 & 286507.557775358 & 2623.29490927124 \tabularnewline
0.82 & 287073.229092559 & 2357.89881837274 \tabularnewline
0.83 & 287589.311985734 & 2083.60938321104 \tabularnewline
0.84 & 288058.968143292 & 1822.40028040847 \tabularnewline
0.85 & 288492.882660479 & 1600.44275682326 \tabularnewline
0.86 & 288912.203365863 & 1452.49053085625 \tabularnewline
0.87 & 289352.560789216 & 1430.59832778140 \tabularnewline
0.88 & 289868.779472182 & 1606.95428860691 \tabularnewline
0.89 & 290538.525910686 & 2055.58540432395 \tabularnewline
0.9 & 291461.235608436 & 2821.75677963916 \tabularnewline
0.91 & 292747.210130535 & 3895.89850751892 \tabularnewline
0.92 & 294492.967771217 & 5176.58864771222 \tabularnewline
0.93 & 296745.893138929 & 6437.37258325005 \tabularnewline
0.94 & 299475.903074617 & 7345.21917305231 \tabularnewline
0.95 & 302589.085276924 & 7585.72939145588 \tabularnewline
0.96 & 306014.506429122 & 7113.52589108472 \tabularnewline
0.97 & 309821.014217584 & 6502.25372821841 \tabularnewline
0.98 & 314149.029998765 & 7053.12929284924 \tabularnewline
0.99 & 318671.290390247 & 9287.08987382127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42002&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]263092.734023474[/C][C]346.905318914054[/C][/ROW]
[ROW][C]0.02[/C][C]263366.180327834[/C][C]687.7472713663[/C][/ROW]
[ROW][C]0.03[/C][C]263753.779450268[/C][C]879.54597763833[/C][/ROW]
[ROW][C]0.04[/C][C]264185.205488316[/C][C]917.096693122265[/C][/ROW]
[ROW][C]0.05[/C][C]264601.394273923[/C][C]866.336652890093[/C][/ROW]
[ROW][C]0.06[/C][C]264971.764090035[/C][C]786.823358861551[/C][/ROW]
[ROW][C]0.07[/C][C]265290.349780279[/C][C]715.603525204669[/C][/ROW]
[ROW][C]0.08[/C][C]265565.206328057[/C][C]672.528445977772[/C][/ROW]
[ROW][C]0.09[/C][C]265809.411457963[/C][C]662.526452247218[/C][/ROW]
[ROW][C]0.1[/C][C]266035.659993956[/C][C]679.438670545666[/C][/ROW]
[ROW][C]0.11[/C][C]266253.800829614[/C][C]713.096197946945[/C][/ROW]
[ROW][C]0.12[/C][C]266470.236535188[/C][C]754.415559673743[/C][/ROW]
[ROW][C]0.13[/C][C]266688.296131868[/C][C]796.164844514036[/C][/ROW]
[ROW][C]0.14[/C][C]266908.963316096[/C][C]833.676346376247[/C][/ROW]
[ROW][C]0.15[/C][C]267131.611546808[/C][C]862.889678588803[/C][/ROW]
[ROW][C]0.16[/C][C]267354.617837543[/C][C]881.611089068555[/C][/ROW]
[ROW][C]0.17[/C][C]267575.852706249[/C][C]888.144535336378[/C][/ROW]
[ROW][C]0.18[/C][C]267793.075704667[/C][C]883.159753285272[/C][/ROW]
[ROW][C]0.19[/C][C]268004.247408655[/C][C]868.337110267558[/C][/ROW]
[ROW][C]0.2[/C][C]268207.746617757[/C][C]846.329272241[/C][/ROW]
[ROW][C]0.21[/C][C]268402.479532851[/C][C]819.726811511974[/C][/ROW]
[ROW][C]0.22[/C][C]268587.88424612[/C][C]790.785254886801[/C][/ROW]
[ROW][C]0.23[/C][C]268763.854833906[/C][C]761.16128572602[/C][/ROW]
[ROW][C]0.24[/C][C]268930.621815669[/C][C]732.469304426683[/C][/ROW]
[ROW][C]0.25[/C][C]269088.625128557[/C][C]704.281235930306[/C][/ROW]
[ROW][C]0.26[/C][C]269238.405299162[/C][C]677.735411929395[/C][/ROW]
[ROW][C]0.27[/C][C]269380.524844892[/C][C]652.397648945521[/C][/ROW]
[ROW][C]0.28[/C][C]269515.520799704[/C][C]628.062401752166[/C][/ROW]
[ROW][C]0.29[/C][C]269643.883137022[/C][C]604.513266240729[/C][/ROW]
[ROW][C]0.3[/C][C]269766.052261389[/C][C]582.507119213263[/C][/ROW]
[ROW][C]0.31[/C][C]269882.429671647[/C][C]560.863989763968[/C][/ROW]
[ROW][C]0.32[/C][C]269993.397427906[/C][C]539.886703297331[/C][/ROW]
[ROW][C]0.33[/C][C]270099.343134507[/C][C]520.313704568958[/C][/ROW]
[ROW][C]0.34[/C][C]270200.687645069[/C][C]502.239025132589[/C][/ROW]
[ROW][C]0.35[/C][C]270297.912941176[/C][C]485.846359093247[/C][/ROW]
[ROW][C]0.36[/C][C]270391.587963467[/C][C]471.897760477531[/C][/ROW]
[ROW][C]0.37[/C][C]270482.390647566[/C][C]461.574090877885[/C][/ROW]
[ROW][C]0.38[/C][C]270571.124847008[/C][C]455.626298709602[/C][/ROW]
[ROW][C]0.39[/C][C]270658.730944671[/C][C]454.456426947566[/C][/ROW]
[ROW][C]0.4[/C][C]270746.288625424[/C][C]459.50556625036[/C][/ROW]
[ROW][C]0.41[/C][C]270835.009623509[/C][C]471.296688393011[/C][/ROW]
[ROW][C]0.42[/C][C]270926.217646603[/C][C]490.720427271581[/C][/ROW]
[ROW][C]0.43[/C][C]271021.312646384[/C][C]518.07457491227[/C][/ROW]
[ROW][C]0.44[/C][C]271121.717659265[/C][C]554.16297101771[/C][/ROW]
[ROW][C]0.45[/C][C]271228.808865134[/C][C]597.46178205719[/C][/ROW]
[ROW][C]0.46[/C][C]271343.833211223[/C][C]646.891715580289[/C][/ROW]
[ROW][C]0.47[/C][C]271467.822383061[/C][C]701.337345322632[/C][/ROW]
[ROW][C]0.48[/C][C]271601.516150125[/C][C]758.920738259602[/C][/ROW]
[ROW][C]0.49[/C][C]271745.311041766[/C][C]816.740978092536[/C][/ROW]
[ROW][C]0.5[/C][C]271899.250847909[/C][C]873.068304851324[/C][/ROW]
[ROW][C]0.51[/C][C]272063.072843724[/C][C]925.531224377232[/C][/ROW]
[ROW][C]0.52[/C][C]272236.317691063[/C][C]973.1689217128[/C][/ROW]
[ROW][C]0.53[/C][C]272418.502072424[/C][C]1016.17270239868[/C][/ROW]
[ROW][C]0.54[/C][C]272609.342253944[/C][C]1056.30074117019[/C][/ROW]
[ROW][C]0.55[/C][C]272809.005416676[/C][C]1096.10750984238[/C][/ROW]
[ROW][C]0.56[/C][C]273018.355529458[/C][C]1141.04704383197[/C][/ROW]
[ROW][C]0.57[/C][C]273239.153710104[/C][C]1196.66471481915[/C][/ROW]
[ROW][C]0.58[/C][C]273474.17134155[/C][C]1269.79701193352[/C][/ROW]
[ROW][C]0.59[/C][C]273727.179263503[/C][C]1366.61375516432[/C][/ROW]
[ROW][C]0.6[/C][C]274002.789024811[/C][C]1490.94271114314[/C][/ROW]
[ROW][C]0.61[/C][C]274306.142145437[/C][C]1645.04814045958[/C][/ROW]
[ROW][C]0.62[/C][C]274642.468656735[/C][C]1827.18928990002[/C][/ROW]
[ROW][C]0.63[/C][C]275016.563079279[/C][C]2032.27389110377[/C][/ROW]
[ROW][C]0.64[/C][C]275432.249071913[/C][C]2252.30583408935[/C][/ROW]
[ROW][C]0.65[/C][C]275891.917092056[/C][C]2477.23271686089[/C][/ROW]
[ROW][C]0.66[/C][C]276396.217041449[/C][C]2696.10740538787[/C][/ROW]
[ROW][C]0.67[/C][C]276943.966928220[/C][C]2897.99718777491[/C][/ROW]
[ROW][C]0.68[/C][C]277532.299996028[/C][C]3074.52928499324[/C][/ROW]
[ROW][C]0.69[/C][C]278157.022520270[/C][C]3219.63873675679[/C][/ROW]
[ROW][C]0.7[/C][C]278813.103313083[/C][C]3330.69141891281[/C][/ROW]
[ROW][C]0.71[/C][C]279495.177689541[/C][C]3409.49091986951[/C][/ROW]
[ROW][C]0.72[/C][C]280197.936703314[/C][C]3458.88125481056[/C][/ROW]
[ROW][C]0.73[/C][C]280916.295729881[/C][C]3482.67728349967[/C][/ROW]
[ROW][C]0.74[/C][C]281645.295019198[/C][C]3484.54330274289[/C][/ROW]
[ROW][C]0.75[/C][C]282379.76736246[/C][C]3463.76477684946[/C][/ROW]
[ROW][C]0.76[/C][C]283113.892601395[/C][C]3417.50819376757[/C][/ROW]
[ROW][C]0.77[/C][C]283840.817868805[/C][C]3339.64864829620[/C][/ROW]
[ROW][C]0.78[/C][C]284552.532187820[/C][C]3223.69868607299[/C][/ROW]
[ROW][C]0.79[/C][C]285240.134633757[/C][C]3064.90010813828[/C][/ROW]
[ROW][C]0.8[/C][C]285894.539602332[/C][C]2862.83225087988[/C][/ROW]
[ROW][C]0.81[/C][C]286507.557775358[/C][C]2623.29490927124[/C][/ROW]
[ROW][C]0.82[/C][C]287073.229092559[/C][C]2357.89881837274[/C][/ROW]
[ROW][C]0.83[/C][C]287589.311985734[/C][C]2083.60938321104[/C][/ROW]
[ROW][C]0.84[/C][C]288058.968143292[/C][C]1822.40028040847[/C][/ROW]
[ROW][C]0.85[/C][C]288492.882660479[/C][C]1600.44275682326[/C][/ROW]
[ROW][C]0.86[/C][C]288912.203365863[/C][C]1452.49053085625[/C][/ROW]
[ROW][C]0.87[/C][C]289352.560789216[/C][C]1430.59832778140[/C][/ROW]
[ROW][C]0.88[/C][C]289868.779472182[/C][C]1606.95428860691[/C][/ROW]
[ROW][C]0.89[/C][C]290538.525910686[/C][C]2055.58540432395[/C][/ROW]
[ROW][C]0.9[/C][C]291461.235608436[/C][C]2821.75677963916[/C][/ROW]
[ROW][C]0.91[/C][C]292747.210130535[/C][C]3895.89850751892[/C][/ROW]
[ROW][C]0.92[/C][C]294492.967771217[/C][C]5176.58864771222[/C][/ROW]
[ROW][C]0.93[/C][C]296745.893138929[/C][C]6437.37258325005[/C][/ROW]
[ROW][C]0.94[/C][C]299475.903074617[/C][C]7345.21917305231[/C][/ROW]
[ROW][C]0.95[/C][C]302589.085276924[/C][C]7585.72939145588[/C][/ROW]
[ROW][C]0.96[/C][C]306014.506429122[/C][C]7113.52589108472[/C][/ROW]
[ROW][C]0.97[/C][C]309821.014217584[/C][C]6502.25372821841[/C][/ROW]
[ROW][C]0.98[/C][C]314149.029998765[/C][C]7053.12929284924[/C][/ROW]
[ROW][C]0.99[/C][C]318671.290390247[/C][C]9287.08987382127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42002&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42002&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
0.01263092.734023474346.905318914054
0.02263366.180327834687.7472713663
0.03263753.779450268879.54597763833
0.04264185.205488316917.096693122265
0.05264601.394273923866.336652890093
0.06264971.764090035786.823358861551
0.07265290.349780279715.603525204669
0.08265565.206328057672.528445977772
0.09265809.411457963662.526452247218
0.1266035.659993956679.438670545666
0.11266253.800829614713.096197946945
0.12266470.236535188754.415559673743
0.13266688.296131868796.164844514036
0.14266908.963316096833.676346376247
0.15267131.611546808862.889678588803
0.16267354.617837543881.611089068555
0.17267575.852706249888.144535336378
0.18267793.075704667883.159753285272
0.19268004.247408655868.337110267558
0.2268207.746617757846.329272241
0.21268402.479532851819.726811511974
0.22268587.88424612790.785254886801
0.23268763.854833906761.16128572602
0.24268930.621815669732.469304426683
0.25269088.625128557704.281235930306
0.26269238.405299162677.735411929395
0.27269380.524844892652.397648945521
0.28269515.520799704628.062401752166
0.29269643.883137022604.513266240729
0.3269766.052261389582.507119213263
0.31269882.429671647560.863989763968
0.32269993.397427906539.886703297331
0.33270099.343134507520.313704568958
0.34270200.687645069502.239025132589
0.35270297.912941176485.846359093247
0.36270391.587963467471.897760477531
0.37270482.390647566461.574090877885
0.38270571.124847008455.626298709602
0.39270658.730944671454.456426947566
0.4270746.288625424459.50556625036
0.41270835.009623509471.296688393011
0.42270926.217646603490.720427271581
0.43271021.312646384518.07457491227
0.44271121.717659265554.16297101771
0.45271228.808865134597.46178205719
0.46271343.833211223646.891715580289
0.47271467.822383061701.337345322632
0.48271601.516150125758.920738259602
0.49271745.311041766816.740978092536
0.5271899.250847909873.068304851324
0.51272063.072843724925.531224377232
0.52272236.317691063973.1689217128
0.53272418.5020724241016.17270239868
0.54272609.3422539441056.30074117019
0.55272809.0054166761096.10750984238
0.56273018.3555294581141.04704383197
0.57273239.1537101041196.66471481915
0.58273474.171341551269.79701193352
0.59273727.1792635031366.61375516432
0.6274002.7890248111490.94271114314
0.61274306.1421454371645.04814045958
0.62274642.4686567351827.18928990002
0.63275016.5630792792032.27389110377
0.64275432.2490719132252.30583408935
0.65275891.9170920562477.23271686089
0.66276396.2170414492696.10740538787
0.67276943.9669282202897.99718777491
0.68277532.2999960283074.52928499324
0.69278157.0225202703219.63873675679
0.7278813.1033130833330.69141891281
0.71279495.1776895413409.49091986951
0.72280197.9367033143458.88125481056
0.73280916.2957298813482.67728349967
0.74281645.2950191983484.54330274289
0.75282379.767362463463.76477684946
0.76283113.8926013953417.50819376757
0.77283840.8178688053339.64864829620
0.78284552.5321878203223.69868607299
0.79285240.1346337573064.90010813828
0.8285894.5396023322862.83225087988
0.81286507.5577753582623.29490927124
0.82287073.2290925592357.89881837274
0.83287589.3119857342083.60938321104
0.84288058.9681432921822.40028040847
0.85288492.8826604791600.44275682326
0.86288912.2033658631452.49053085625
0.87289352.5607892161430.59832778140
0.88289868.7794721821606.95428860691
0.89290538.5259106862055.58540432395
0.9291461.2356084362821.75677963916
0.91292747.2101305353895.89850751892
0.92294492.9677712175176.58864771222
0.93296745.8931389296437.37258325005
0.94299475.9030746177345.21917305231
0.95302589.0852769247585.72939145588
0.96306014.5064291227113.52589108472
0.97309821.0142175846502.25372821841
0.98314149.0299987657053.12929284924
0.99318671.2903902479287.08987382127


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')