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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 24 Jul 2013 09:40:19 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jul/24/t1374673241mb12erveq9cxbv3.htm/, Retrieved Sun, 28 Apr 2024 22:45:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210811, Retrieved Sun, 28 Apr 2024 22:45:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAlexandra De Schutter
Estimated Impact154

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] [omzet Oregon Scie...] [2013-07-24 13:40:19] [a5e81fc5b84eaf53b9dc73271fe36a59] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
323898
323268
322574
321304
334352
333712
323898
317374
318014
318014
318646
319980
319980
314086
311490
314086
323268
321934
309526
299020
297054
293126
295784
299020
297748
295090
289900
295090
299712
298380
283312
276788
270264
265010
264380
268300
263046
261082
259118
270264
271536
265010
247340
239490
227082
221820
224416
228344
228344
225118
224416
234930
243420
239490
226380
219864
206122
197634
204158
210682
210682
202194
201562
212638
219864
217260
204158
195670
177304
170150
172744
183892
184522
168184
174078
188452
194976
191046
173384
160968
146594
135448
140008
149820
147226
132852
137412
151786
159642
155082
137412
129564
117786
105368
107332
117146
118416
106638
108604
125004
128924
122346
98150
85742
69342
53004
58258
65412
64150
51670
58888
76560
84408
80488
64782
52372
39262
24186
26854
31414

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' @ fisher.wessa.net

\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' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210811&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210811&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' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0127126.07477912555078.71634639654
0.0232923.81512275178714.55612451223
0.0339859.043581413610026.2809109876
0.0446349.88979207779074.07020973178
0.0551651.81997342597704.4235825557
0.0655906.91336826197159.54525193269
0.0759620.62521622947514.16305471606
0.0863245.05019432828489.71844916234
0.0967070.08490839949891.45760528637
0.171250.971552971111517.9533849313
0.1175835.374284790113108.6888252998
0.1280774.650516614214403.4942249458
0.1385943.044823647915214.3158180192
0.1491172.808283474315467.1972727621
0.1596295.949292772815209.7667160857
0.16101179.48197173914587.9946544446
0.17105745.20587839913792.3057403999
0.18109971.57939322612997.8459944935
0.19113881.49024262712319.9078406352
0.2117523.61376621311805.7822785031
0.21120955.16939190511453.8330276174
0.22124230.79887472511243.112695234
0.23127398.22600894511155.2208773188
0.24130498.49436751411181.0023489874
0.25133567.76243989111318.6640253549
0.26136638.40370767611562.6880115155
0.27139738.53372523111899.6386307772
0.28142890.26825911912301.7894119296
0.29146107.64335801212733.6103682113
0.3149395.19765499613153.2804658589
0.31152747.90455355513522.4235332654
0.32156152.65206365413811.848584405
0.33159590.96751131614006.6261241969
0.34163042.29877125414106.7579074924
0.35166486.99343034914122.9179041705
0.36169908.22734633814073.4044356881
0.37173292.51283141513973.1958765869
0.38176628.9434660313830.1461526576
0.39179907.80114705313642.7554412029
0.4183119.35719749313404.9146323856
0.41186253.54632733313110.8950686503
0.42189300.74683181612764.5267570627
0.43192253.36365860212377.8988516509
0.44195107.51998453511975.5046159768
0.45197864.08139941211582.1063245202
0.46200528.48991071111220.0974182004
0.47203109.36232281710902.2224715396
0.48205616.31964084410627.1435242589
0.49208057.86910032910381.7331118402
0.5210440.22884444810150.8935587276
0.51212767.7360797079923.01616365694
0.52215044.9829640389702.67013005427
0.53217280.2270789229511.99910870609
0.54219489.1042133969394.78988047151
0.55221697.3913941489406.41199841705
0.56223941.6267600379601.82448357164
0.57226266.80175020210016.6637839379
0.58228721.02298212410652.342159891
0.59231347.8494440611466.7266450672
0.6234177.76001184312377.5164146962
0.61237220.70620928413274.7093653494
0.62240461.79116705214040.1913559224
0.63243861.68351968714570.2395048676
0.64247362.4203614314798.0417557351
0.65250897.91284725914711.6924902358
0.66254407.03680022914358.3925616003
0.67257846.0877859613840.4014693077
0.68261197.04287705213289.3453493578
0.69264468.79616323912832.590264534
0.7267690.31881383212552.7336543132
0.71270897.14878274612454.8046935136
0.72274115.01257680512462.7041221025
0.73277345.85167543212442.1900211481
0.74280561.36518112212252.3402944273
0.75283707.17264832711793.2825880945
0.76286717.31088415811043.2044603478
0.77289535.07655438910071.6276509066
0.78292133.5283035049025.65718648974
0.79294528.3241151728094.25283388935
0.8296777.3955576187451.00029686335
0.81298965.8906778657187.31992309206
0.82301179.8431108867259.76188928756
0.83303476.6468291567497.04213137137
0.84305862.8359466667673.29700589883
0.85308288.294788737592.22000930047
0.86310660.4464965937151.9020411038
0.87312873.8982628556373.26126718126
0.88314844.099777185381.08896255834
0.89316531.5419024354351.36331368384
0.9317947.2767336863443.59668983413
0.91319139.0406984922747.61643977479
0.92320165.9399800412259.09217111247
0.93321075.5068596271903.36626592288
0.94321901.3394027071602.16957186856
0.95322709.0651511571372.07722176644
0.96323724.8398245461522.19851695057
0.97325481.2876184222704.07134254538
0.98328535.0213403974527.58084782031
0.99332251.5478138274041.75608152841

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 27126.0747791255 & 5078.71634639654 \tabularnewline
0.02 & 32923.8151227517 & 8714.55612451223 \tabularnewline
0.03 & 39859.0435814136 & 10026.2809109876 \tabularnewline
0.04 & 46349.8897920777 & 9074.07020973178 \tabularnewline
0.05 & 51651.8199734259 & 7704.4235825557 \tabularnewline
0.06 & 55906.9133682619 & 7159.54525193269 \tabularnewline
0.07 & 59620.6252162294 & 7514.16305471606 \tabularnewline
0.08 & 63245.0501943282 & 8489.71844916234 \tabularnewline
0.09 & 67070.0849083994 & 9891.45760528637 \tabularnewline
0.1 & 71250.9715529711 & 11517.9533849313 \tabularnewline
0.11 & 75835.3742847901 & 13108.6888252998 \tabularnewline
0.12 & 80774.6505166142 & 14403.4942249458 \tabularnewline
0.13 & 85943.0448236479 & 15214.3158180192 \tabularnewline
0.14 & 91172.8082834743 & 15467.1972727621 \tabularnewline
0.15 & 96295.9492927728 & 15209.7667160857 \tabularnewline
0.16 & 101179.481971739 & 14587.9946544446 \tabularnewline
0.17 & 105745.205878399 & 13792.3057403999 \tabularnewline
0.18 & 109971.579393226 & 12997.8459944935 \tabularnewline
0.19 & 113881.490242627 & 12319.9078406352 \tabularnewline
0.2 & 117523.613766213 & 11805.7822785031 \tabularnewline
0.21 & 120955.169391905 & 11453.8330276174 \tabularnewline
0.22 & 124230.798874725 & 11243.112695234 \tabularnewline
0.23 & 127398.226008945 & 11155.2208773188 \tabularnewline
0.24 & 130498.494367514 & 11181.0023489874 \tabularnewline
0.25 & 133567.762439891 & 11318.6640253549 \tabularnewline
0.26 & 136638.403707676 & 11562.6880115155 \tabularnewline
0.27 & 139738.533725231 & 11899.6386307772 \tabularnewline
0.28 & 142890.268259119 & 12301.7894119296 \tabularnewline
0.29 & 146107.643358012 & 12733.6103682113 \tabularnewline
0.3 & 149395.197654996 & 13153.2804658589 \tabularnewline
0.31 & 152747.904553555 & 13522.4235332654 \tabularnewline
0.32 & 156152.652063654 & 13811.848584405 \tabularnewline
0.33 & 159590.967511316 & 14006.6261241969 \tabularnewline
0.34 & 163042.298771254 & 14106.7579074924 \tabularnewline
0.35 & 166486.993430349 & 14122.9179041705 \tabularnewline
0.36 & 169908.227346338 & 14073.4044356881 \tabularnewline
0.37 & 173292.512831415 & 13973.1958765869 \tabularnewline
0.38 & 176628.94346603 & 13830.1461526576 \tabularnewline
0.39 & 179907.801147053 & 13642.7554412029 \tabularnewline
0.4 & 183119.357197493 & 13404.9146323856 \tabularnewline
0.41 & 186253.546327333 & 13110.8950686503 \tabularnewline
0.42 & 189300.746831816 & 12764.5267570627 \tabularnewline
0.43 & 192253.363658602 & 12377.8988516509 \tabularnewline
0.44 & 195107.519984535 & 11975.5046159768 \tabularnewline
0.45 & 197864.081399412 & 11582.1063245202 \tabularnewline
0.46 & 200528.489910711 & 11220.0974182004 \tabularnewline
0.47 & 203109.362322817 & 10902.2224715396 \tabularnewline
0.48 & 205616.319640844 & 10627.1435242589 \tabularnewline
0.49 & 208057.869100329 & 10381.7331118402 \tabularnewline
0.5 & 210440.228844448 & 10150.8935587276 \tabularnewline
0.51 & 212767.736079707 & 9923.01616365694 \tabularnewline
0.52 & 215044.982964038 & 9702.67013005427 \tabularnewline
0.53 & 217280.227078922 & 9511.99910870609 \tabularnewline
0.54 & 219489.104213396 & 9394.78988047151 \tabularnewline
0.55 & 221697.391394148 & 9406.41199841705 \tabularnewline
0.56 & 223941.626760037 & 9601.82448357164 \tabularnewline
0.57 & 226266.801750202 & 10016.6637839379 \tabularnewline
0.58 & 228721.022982124 & 10652.342159891 \tabularnewline
0.59 & 231347.84944406 & 11466.7266450672 \tabularnewline
0.6 & 234177.760011843 & 12377.5164146962 \tabularnewline
0.61 & 237220.706209284 & 13274.7093653494 \tabularnewline
0.62 & 240461.791167052 & 14040.1913559224 \tabularnewline
0.63 & 243861.683519687 & 14570.2395048676 \tabularnewline
0.64 & 247362.42036143 & 14798.0417557351 \tabularnewline
0.65 & 250897.912847259 & 14711.6924902358 \tabularnewline
0.66 & 254407.036800229 & 14358.3925616003 \tabularnewline
0.67 & 257846.08778596 & 13840.4014693077 \tabularnewline
0.68 & 261197.042877052 & 13289.3453493578 \tabularnewline
0.69 & 264468.796163239 & 12832.590264534 \tabularnewline
0.7 & 267690.318813832 & 12552.7336543132 \tabularnewline
0.71 & 270897.148782746 & 12454.8046935136 \tabularnewline
0.72 & 274115.012576805 & 12462.7041221025 \tabularnewline
0.73 & 277345.851675432 & 12442.1900211481 \tabularnewline
0.74 & 280561.365181122 & 12252.3402944273 \tabularnewline
0.75 & 283707.172648327 & 11793.2825880945 \tabularnewline
0.76 & 286717.310884158 & 11043.2044603478 \tabularnewline
0.77 & 289535.076554389 & 10071.6276509066 \tabularnewline
0.78 & 292133.528303504 & 9025.65718648974 \tabularnewline
0.79 & 294528.324115172 & 8094.25283388935 \tabularnewline
0.8 & 296777.395557618 & 7451.00029686335 \tabularnewline
0.81 & 298965.890677865 & 7187.31992309206 \tabularnewline
0.82 & 301179.843110886 & 7259.76188928756 \tabularnewline
0.83 & 303476.646829156 & 7497.04213137137 \tabularnewline
0.84 & 305862.835946666 & 7673.29700589883 \tabularnewline
0.85 & 308288.29478873 & 7592.22000930047 \tabularnewline
0.86 & 310660.446496593 & 7151.9020411038 \tabularnewline
0.87 & 312873.898262855 & 6373.26126718126 \tabularnewline
0.88 & 314844.09977718 & 5381.08896255834 \tabularnewline
0.89 & 316531.541902435 & 4351.36331368384 \tabularnewline
0.9 & 317947.276733686 & 3443.59668983413 \tabularnewline
0.91 & 319139.040698492 & 2747.61643977479 \tabularnewline
0.92 & 320165.939980041 & 2259.09217111247 \tabularnewline
0.93 & 321075.506859627 & 1903.36626592288 \tabularnewline
0.94 & 321901.339402707 & 1602.16957186856 \tabularnewline
0.95 & 322709.065151157 & 1372.07722176644 \tabularnewline
0.96 & 323724.839824546 & 1522.19851695057 \tabularnewline
0.97 & 325481.287618422 & 2704.07134254538 \tabularnewline
0.98 & 328535.021340397 & 4527.58084782031 \tabularnewline
0.99 & 332251.547813827 & 4041.75608152841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210811&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]27126.0747791255[/C][C]5078.71634639654[/C][/ROW]
[ROW][C]0.02[/C][C]32923.8151227517[/C][C]8714.55612451223[/C][/ROW]
[ROW][C]0.03[/C][C]39859.0435814136[/C][C]10026.2809109876[/C][/ROW]
[ROW][C]0.04[/C][C]46349.8897920777[/C][C]9074.07020973178[/C][/ROW]
[ROW][C]0.05[/C][C]51651.8199734259[/C][C]7704.4235825557[/C][/ROW]
[ROW][C]0.06[/C][C]55906.9133682619[/C][C]7159.54525193269[/C][/ROW]
[ROW][C]0.07[/C][C]59620.6252162294[/C][C]7514.16305471606[/C][/ROW]
[ROW][C]0.08[/C][C]63245.0501943282[/C][C]8489.71844916234[/C][/ROW]
[ROW][C]0.09[/C][C]67070.0849083994[/C][C]9891.45760528637[/C][/ROW]
[ROW][C]0.1[/C][C]71250.9715529711[/C][C]11517.9533849313[/C][/ROW]
[ROW][C]0.11[/C][C]75835.3742847901[/C][C]13108.6888252998[/C][/ROW]
[ROW][C]0.12[/C][C]80774.6505166142[/C][C]14403.4942249458[/C][/ROW]
[ROW][C]0.13[/C][C]85943.0448236479[/C][C]15214.3158180192[/C][/ROW]
[ROW][C]0.14[/C][C]91172.8082834743[/C][C]15467.1972727621[/C][/ROW]
[ROW][C]0.15[/C][C]96295.9492927728[/C][C]15209.7667160857[/C][/ROW]
[ROW][C]0.16[/C][C]101179.481971739[/C][C]14587.9946544446[/C][/ROW]
[ROW][C]0.17[/C][C]105745.205878399[/C][C]13792.3057403999[/C][/ROW]
[ROW][C]0.18[/C][C]109971.579393226[/C][C]12997.8459944935[/C][/ROW]
[ROW][C]0.19[/C][C]113881.490242627[/C][C]12319.9078406352[/C][/ROW]
[ROW][C]0.2[/C][C]117523.613766213[/C][C]11805.7822785031[/C][/ROW]
[ROW][C]0.21[/C][C]120955.169391905[/C][C]11453.8330276174[/C][/ROW]
[ROW][C]0.22[/C][C]124230.798874725[/C][C]11243.112695234[/C][/ROW]
[ROW][C]0.23[/C][C]127398.226008945[/C][C]11155.2208773188[/C][/ROW]
[ROW][C]0.24[/C][C]130498.494367514[/C][C]11181.0023489874[/C][/ROW]
[ROW][C]0.25[/C][C]133567.762439891[/C][C]11318.6640253549[/C][/ROW]
[ROW][C]0.26[/C][C]136638.403707676[/C][C]11562.6880115155[/C][/ROW]
[ROW][C]0.27[/C][C]139738.533725231[/C][C]11899.6386307772[/C][/ROW]
[ROW][C]0.28[/C][C]142890.268259119[/C][C]12301.7894119296[/C][/ROW]
[ROW][C]0.29[/C][C]146107.643358012[/C][C]12733.6103682113[/C][/ROW]
[ROW][C]0.3[/C][C]149395.197654996[/C][C]13153.2804658589[/C][/ROW]
[ROW][C]0.31[/C][C]152747.904553555[/C][C]13522.4235332654[/C][/ROW]
[ROW][C]0.32[/C][C]156152.652063654[/C][C]13811.848584405[/C][/ROW]
[ROW][C]0.33[/C][C]159590.967511316[/C][C]14006.6261241969[/C][/ROW]
[ROW][C]0.34[/C][C]163042.298771254[/C][C]14106.7579074924[/C][/ROW]
[ROW][C]0.35[/C][C]166486.993430349[/C][C]14122.9179041705[/C][/ROW]
[ROW][C]0.36[/C][C]169908.227346338[/C][C]14073.4044356881[/C][/ROW]
[ROW][C]0.37[/C][C]173292.512831415[/C][C]13973.1958765869[/C][/ROW]
[ROW][C]0.38[/C][C]176628.94346603[/C][C]13830.1461526576[/C][/ROW]
[ROW][C]0.39[/C][C]179907.801147053[/C][C]13642.7554412029[/C][/ROW]
[ROW][C]0.4[/C][C]183119.357197493[/C][C]13404.9146323856[/C][/ROW]
[ROW][C]0.41[/C][C]186253.546327333[/C][C]13110.8950686503[/C][/ROW]
[ROW][C]0.42[/C][C]189300.746831816[/C][C]12764.5267570627[/C][/ROW]
[ROW][C]0.43[/C][C]192253.363658602[/C][C]12377.8988516509[/C][/ROW]
[ROW][C]0.44[/C][C]195107.519984535[/C][C]11975.5046159768[/C][/ROW]
[ROW][C]0.45[/C][C]197864.081399412[/C][C]11582.1063245202[/C][/ROW]
[ROW][C]0.46[/C][C]200528.489910711[/C][C]11220.0974182004[/C][/ROW]
[ROW][C]0.47[/C][C]203109.362322817[/C][C]10902.2224715396[/C][/ROW]
[ROW][C]0.48[/C][C]205616.319640844[/C][C]10627.1435242589[/C][/ROW]
[ROW][C]0.49[/C][C]208057.869100329[/C][C]10381.7331118402[/C][/ROW]
[ROW][C]0.5[/C][C]210440.228844448[/C][C]10150.8935587276[/C][/ROW]
[ROW][C]0.51[/C][C]212767.736079707[/C][C]9923.01616365694[/C][/ROW]
[ROW][C]0.52[/C][C]215044.982964038[/C][C]9702.67013005427[/C][/ROW]
[ROW][C]0.53[/C][C]217280.227078922[/C][C]9511.99910870609[/C][/ROW]
[ROW][C]0.54[/C][C]219489.104213396[/C][C]9394.78988047151[/C][/ROW]
[ROW][C]0.55[/C][C]221697.391394148[/C][C]9406.41199841705[/C][/ROW]
[ROW][C]0.56[/C][C]223941.626760037[/C][C]9601.82448357164[/C][/ROW]
[ROW][C]0.57[/C][C]226266.801750202[/C][C]10016.6637839379[/C][/ROW]
[ROW][C]0.58[/C][C]228721.022982124[/C][C]10652.342159891[/C][/ROW]
[ROW][C]0.59[/C][C]231347.84944406[/C][C]11466.7266450672[/C][/ROW]
[ROW][C]0.6[/C][C]234177.760011843[/C][C]12377.5164146962[/C][/ROW]
[ROW][C]0.61[/C][C]237220.706209284[/C][C]13274.7093653494[/C][/ROW]
[ROW][C]0.62[/C][C]240461.791167052[/C][C]14040.1913559224[/C][/ROW]
[ROW][C]0.63[/C][C]243861.683519687[/C][C]14570.2395048676[/C][/ROW]
[ROW][C]0.64[/C][C]247362.42036143[/C][C]14798.0417557351[/C][/ROW]
[ROW][C]0.65[/C][C]250897.912847259[/C][C]14711.6924902358[/C][/ROW]
[ROW][C]0.66[/C][C]254407.036800229[/C][C]14358.3925616003[/C][/ROW]
[ROW][C]0.67[/C][C]257846.08778596[/C][C]13840.4014693077[/C][/ROW]
[ROW][C]0.68[/C][C]261197.042877052[/C][C]13289.3453493578[/C][/ROW]
[ROW][C]0.69[/C][C]264468.796163239[/C][C]12832.590264534[/C][/ROW]
[ROW][C]0.7[/C][C]267690.318813832[/C][C]12552.7336543132[/C][/ROW]
[ROW][C]0.71[/C][C]270897.148782746[/C][C]12454.8046935136[/C][/ROW]
[ROW][C]0.72[/C][C]274115.012576805[/C][C]12462.7041221025[/C][/ROW]
[ROW][C]0.73[/C][C]277345.851675432[/C][C]12442.1900211481[/C][/ROW]
[ROW][C]0.74[/C][C]280561.365181122[/C][C]12252.3402944273[/C][/ROW]
[ROW][C]0.75[/C][C]283707.172648327[/C][C]11793.2825880945[/C][/ROW]
[ROW][C]0.76[/C][C]286717.310884158[/C][C]11043.2044603478[/C][/ROW]
[ROW][C]0.77[/C][C]289535.076554389[/C][C]10071.6276509066[/C][/ROW]
[ROW][C]0.78[/C][C]292133.528303504[/C][C]9025.65718648974[/C][/ROW]
[ROW][C]0.79[/C][C]294528.324115172[/C][C]8094.25283388935[/C][/ROW]
[ROW][C]0.8[/C][C]296777.395557618[/C][C]7451.00029686335[/C][/ROW]
[ROW][C]0.81[/C][C]298965.890677865[/C][C]7187.31992309206[/C][/ROW]
[ROW][C]0.82[/C][C]301179.843110886[/C][C]7259.76188928756[/C][/ROW]
[ROW][C]0.83[/C][C]303476.646829156[/C][C]7497.04213137137[/C][/ROW]
[ROW][C]0.84[/C][C]305862.835946666[/C][C]7673.29700589883[/C][/ROW]
[ROW][C]0.85[/C][C]308288.29478873[/C][C]7592.22000930047[/C][/ROW]
[ROW][C]0.86[/C][C]310660.446496593[/C][C]7151.9020411038[/C][/ROW]
[ROW][C]0.87[/C][C]312873.898262855[/C][C]6373.26126718126[/C][/ROW]
[ROW][C]0.88[/C][C]314844.09977718[/C][C]5381.08896255834[/C][/ROW]
[ROW][C]0.89[/C][C]316531.541902435[/C][C]4351.36331368384[/C][/ROW]
[ROW][C]0.9[/C][C]317947.276733686[/C][C]3443.59668983413[/C][/ROW]
[ROW][C]0.91[/C][C]319139.040698492[/C][C]2747.61643977479[/C][/ROW]
[ROW][C]0.92[/C][C]320165.939980041[/C][C]2259.09217111247[/C][/ROW]
[ROW][C]0.93[/C][C]321075.506859627[/C][C]1903.36626592288[/C][/ROW]
[ROW][C]0.94[/C][C]321901.339402707[/C][C]1602.16957186856[/C][/ROW]
[ROW][C]0.95[/C][C]322709.065151157[/C][C]1372.07722176644[/C][/ROW]
[ROW][C]0.96[/C][C]323724.839824546[/C][C]1522.19851695057[/C][/ROW]
[ROW][C]0.97[/C][C]325481.287618422[/C][C]2704.07134254538[/C][/ROW]
[ROW][C]0.98[/C][C]328535.021340397[/C][C]4527.58084782031[/C][/ROW]
[ROW][C]0.99[/C][C]332251.547813827[/C][C]4041.75608152841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210811&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210811&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
0.0127126.07477912555078.71634639654
0.0232923.81512275178714.55612451223
0.0339859.043581413610026.2809109876
0.0446349.88979207779074.07020973178
0.0551651.81997342597704.4235825557
0.0655906.91336826197159.54525193269
0.0759620.62521622947514.16305471606
0.0863245.05019432828489.71844916234
0.0967070.08490839949891.45760528637
0.171250.971552971111517.9533849313
0.1175835.374284790113108.6888252998
0.1280774.650516614214403.4942249458
0.1385943.044823647915214.3158180192
0.1491172.808283474315467.1972727621
0.1596295.949292772815209.7667160857
0.16101179.48197173914587.9946544446
0.17105745.20587839913792.3057403999
0.18109971.57939322612997.8459944935
0.19113881.49024262712319.9078406352
0.2117523.61376621311805.7822785031
0.21120955.16939190511453.8330276174
0.22124230.79887472511243.112695234
0.23127398.22600894511155.2208773188
0.24130498.49436751411181.0023489874
0.25133567.76243989111318.6640253549
0.26136638.40370767611562.6880115155
0.27139738.53372523111899.6386307772
0.28142890.26825911912301.7894119296
0.29146107.64335801212733.6103682113
0.3149395.19765499613153.2804658589
0.31152747.90455355513522.4235332654
0.32156152.65206365413811.848584405
0.33159590.96751131614006.6261241969
0.34163042.29877125414106.7579074924
0.35166486.99343034914122.9179041705
0.36169908.22734633814073.4044356881
0.37173292.51283141513973.1958765869
0.38176628.9434660313830.1461526576
0.39179907.80114705313642.7554412029
0.4183119.35719749313404.9146323856
0.41186253.54632733313110.8950686503
0.42189300.74683181612764.5267570627
0.43192253.36365860212377.8988516509
0.44195107.51998453511975.5046159768
0.45197864.08139941211582.1063245202
0.46200528.48991071111220.0974182004
0.47203109.36232281710902.2224715396
0.48205616.31964084410627.1435242589
0.49208057.86910032910381.7331118402
0.5210440.22884444810150.8935587276
0.51212767.7360797079923.01616365694
0.52215044.9829640389702.67013005427
0.53217280.2270789229511.99910870609
0.54219489.1042133969394.78988047151
0.55221697.3913941489406.41199841705
0.56223941.6267600379601.82448357164
0.57226266.80175020210016.6637839379
0.58228721.02298212410652.342159891
0.59231347.8494440611466.7266450672
0.6234177.76001184312377.5164146962
0.61237220.70620928413274.7093653494
0.62240461.79116705214040.1913559224
0.63243861.68351968714570.2395048676
0.64247362.4203614314798.0417557351
0.65250897.91284725914711.6924902358
0.66254407.03680022914358.3925616003
0.67257846.0877859613840.4014693077
0.68261197.04287705213289.3453493578
0.69264468.79616323912832.590264534
0.7267690.31881383212552.7336543132
0.71270897.14878274612454.8046935136
0.72274115.01257680512462.7041221025
0.73277345.85167543212442.1900211481
0.74280561.36518112212252.3402944273
0.75283707.17264832711793.2825880945
0.76286717.31088415811043.2044603478
0.77289535.07655438910071.6276509066
0.78292133.5283035049025.65718648974
0.79294528.3241151728094.25283388935
0.8296777.3955576187451.00029686335
0.81298965.8906778657187.31992309206
0.82301179.8431108867259.76188928756
0.83303476.6468291567497.04213137137
0.84305862.8359466667673.29700589883
0.85308288.294788737592.22000930047
0.86310660.4464965937151.9020411038
0.87312873.8982628556373.26126718126
0.88314844.099777185381.08896255834
0.89316531.5419024354351.36331368384
0.9317947.2767336863443.59668983413
0.91319139.0406984922747.61643977479
0.92320165.9399800412259.09217111247
0.93321075.5068596271903.36626592288
0.94321901.3394027071602.16957186856
0.95322709.0651511571372.07722176644
0.96323724.8398245461522.19851695057
0.97325481.2876184222704.07134254538
0.98328535.0213403974527.58084782031
0.99332251.5478138274041.75608152841


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')