FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Oct 2016 19:02:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/03/t14755177502i0xyt39wxvbq1j.htm/, Retrieved Fri, 03 May 2024 18:42:42 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 03 May 2024 18:42:42 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1336
1756
2279
1944
1642
2679
2690
2263
2002
2620
3694
3194
2089
2420
3108
2160
1713
1191
2897
1287
2891
2662
2440
1899
519
1079
955
684
1090
1802
1360
804
1905
1732
964
1424
661
579
378
629
737
877
746
518
1032
1227
1610
1268
935
1224
1313
1642
1431
1124
1915
1503
2035
2200
2205
2297
1818
3525
3458
3958
1987
2375
1728
1618
1614
1820
1969
1632

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01415.003795408433108.575484059547
0.02464.78582712952376.7680463101217
0.03510.07304149551861.9815960963079
0.04547.266807219462.7849342896149
0.05579.26069163904867.9814498031488
0.06608.93948458253372.48249871024
0.07637.67121502388476.2850481820686
0.08665.97849656430380.6299660166945
0.09694.20016607213586.229344942506
0.1722.6767031367392.9253818750257
0.11751.68057300144399.9948638816128
0.12781.322052714326106.56156580329
0.13811.522363316825111.911066531938
0.14842.054500282829115.667187675847
0.15872.619439136414117.83262482789
0.16902.923915008587118.707729250666
0.17932.736528695095118.741570554592
0.18961.912518386337118.368037064249
0.19990.389616184858117.887523340899
0.21018.16523935567117.430500204023
0.211045.26777772965116.985382002564
0.221071.73267567793116.46748074257
0.231097.58936034379115.791906284498
0.241122.86004992235114.93480484136
0.251147.56767004895113.951022321951
0.261171.74815079342112.986371848971
0.271195.46213532292112.248341255388
0.281218.80207940549111.983226664307
0.291241.89228581695112.403036888099
0.31264.88115483613113.659154658012
0.311287.92655217526115.785739819155
0.321311.17651832802118.675816965133
0.331334.74844450959122.090665251432
0.341358.71022870309125.675192814468
0.351383.0667473193129.017088977916
0.361407.75423958179131.690098961007
0.371432.64399018704133.328043393077
0.381457.5551882984133.667689677174
0.391482.2752911039132.582221940352
0.41506.58491821595130.107471515112
0.411530.283515088126.434388567766
0.421553.21192370193121.884572505185
0.431575.26861699661116.854483033378
0.441596.41755758078111.777990409927
0.451616.68716422363107.04792913573
0.461636.16137769475102.98255007706
0.471654.9649985083499.7783140447216
0.481673.2461128582197.507339609519
0.491691.1584685296396.1282129181567
0.51708.8461981449995.5055006317246
0.511726.4325065795895.4628505366008
0.521744.0130724661195.8053679556028
0.531761.6541555061896.3506688939089
0.541779.3948639862496.9483804275469
0.551797.252736105197.4886638725159
0.561815.2316642065997.9099778145753
0.571833.331149443598.2118296713054
0.581851.5558366871498.4461256247677
0.591869.9242158828798.712161200805
0.61888.47531835799.151042819202
0.611907.2722653512599.9301852612067
0.621926.40173797146101.198229704562
0.631945.96890362813103.066445599879
0.641966.08805999822105.577526298144
0.651986.87016067934108.671053097677
0.662008.40929480424112.193645132596
0.672030.77087200929115.917398636309
0.682053.98447224173119.570913558352
0.692078.04387593928122.903347239743
0.72102.91564150995125.734491090109
0.712128.55586413124128.001782599557
0.722154.93273057082129.795590049472
0.732182.05061308327131.358336905614
0.742209.97021328517133.049367089834
0.752238.81912758173135.277037879304
0.762268.78847758785138.40561062657
0.772300.11402259394142.631767291533
0.782333.0442101291147.93688647627
0.792367.80225579713154.026309897309
0.82404.55340563658160.407758597296
0.812443.39044182757166.496024593171
0.822484.34863993048171.803540194159
0.832527.45488187883176.139088258767
0.842572.80517497682179.744738920335
0.852620.65319109052183.346782944537
0.862671.48385697631187.987603266215
0.872726.04426430797194.707168769333
0.882785.31006284523204.136151479228
0.892850.37604882597216.197972694945
0.92922.27109546507229.987649529444
0.913001.71263009905243.784791688159
0.923088.84987034557255.078634389309
0.933183.11882315541260.762423990473
0.943283.43771248155257.935419217965
0.953389.00051855615245.731013927617
0.963500.55966336861227.781777896183
0.973620.77787121213213.387971888216
0.983750.02207357722214.502649261787
0.993874.63457213738235.603222186314

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 415.003795408433 & 108.575484059547 \tabularnewline
0.02 & 464.785827129523 & 76.7680463101217 \tabularnewline
0.03 & 510.073041495518 & 61.9815960963079 \tabularnewline
0.04 & 547.2668072194 & 62.7849342896149 \tabularnewline
0.05 & 579.260691639048 & 67.9814498031488 \tabularnewline
0.06 & 608.939484582533 & 72.48249871024 \tabularnewline
0.07 & 637.671215023884 & 76.2850481820686 \tabularnewline
0.08 & 665.978496564303 & 80.6299660166945 \tabularnewline
0.09 & 694.200166072135 & 86.229344942506 \tabularnewline
0.1 & 722.67670313673 & 92.9253818750257 \tabularnewline
0.11 & 751.680573001443 & 99.9948638816128 \tabularnewline
0.12 & 781.322052714326 & 106.56156580329 \tabularnewline
0.13 & 811.522363316825 & 111.911066531938 \tabularnewline
0.14 & 842.054500282829 & 115.667187675847 \tabularnewline
0.15 & 872.619439136414 & 117.83262482789 \tabularnewline
0.16 & 902.923915008587 & 118.707729250666 \tabularnewline
0.17 & 932.736528695095 & 118.741570554592 \tabularnewline
0.18 & 961.912518386337 & 118.368037064249 \tabularnewline
0.19 & 990.389616184858 & 117.887523340899 \tabularnewline
0.2 & 1018.16523935567 & 117.430500204023 \tabularnewline
0.21 & 1045.26777772965 & 116.985382002564 \tabularnewline
0.22 & 1071.73267567793 & 116.46748074257 \tabularnewline
0.23 & 1097.58936034379 & 115.791906284498 \tabularnewline
0.24 & 1122.86004992235 & 114.93480484136 \tabularnewline
0.25 & 1147.56767004895 & 113.951022321951 \tabularnewline
0.26 & 1171.74815079342 & 112.986371848971 \tabularnewline
0.27 & 1195.46213532292 & 112.248341255388 \tabularnewline
0.28 & 1218.80207940549 & 111.983226664307 \tabularnewline
0.29 & 1241.89228581695 & 112.403036888099 \tabularnewline
0.3 & 1264.88115483613 & 113.659154658012 \tabularnewline
0.31 & 1287.92655217526 & 115.785739819155 \tabularnewline
0.32 & 1311.17651832802 & 118.675816965133 \tabularnewline
0.33 & 1334.74844450959 & 122.090665251432 \tabularnewline
0.34 & 1358.71022870309 & 125.675192814468 \tabularnewline
0.35 & 1383.0667473193 & 129.017088977916 \tabularnewline
0.36 & 1407.75423958179 & 131.690098961007 \tabularnewline
0.37 & 1432.64399018704 & 133.328043393077 \tabularnewline
0.38 & 1457.5551882984 & 133.667689677174 \tabularnewline
0.39 & 1482.2752911039 & 132.582221940352 \tabularnewline
0.4 & 1506.58491821595 & 130.107471515112 \tabularnewline
0.41 & 1530.283515088 & 126.434388567766 \tabularnewline
0.42 & 1553.21192370193 & 121.884572505185 \tabularnewline
0.43 & 1575.26861699661 & 116.854483033378 \tabularnewline
0.44 & 1596.41755758078 & 111.777990409927 \tabularnewline
0.45 & 1616.68716422363 & 107.04792913573 \tabularnewline
0.46 & 1636.16137769475 & 102.98255007706 \tabularnewline
0.47 & 1654.96499850834 & 99.7783140447216 \tabularnewline
0.48 & 1673.24611285821 & 97.507339609519 \tabularnewline
0.49 & 1691.15846852963 & 96.1282129181567 \tabularnewline
0.5 & 1708.84619814499 & 95.5055006317246 \tabularnewline
0.51 & 1726.43250657958 & 95.4628505366008 \tabularnewline
0.52 & 1744.01307246611 & 95.8053679556028 \tabularnewline
0.53 & 1761.65415550618 & 96.3506688939089 \tabularnewline
0.54 & 1779.39486398624 & 96.9483804275469 \tabularnewline
0.55 & 1797.2527361051 & 97.4886638725159 \tabularnewline
0.56 & 1815.23166420659 & 97.9099778145753 \tabularnewline
0.57 & 1833.3311494435 & 98.2118296713054 \tabularnewline
0.58 & 1851.55583668714 & 98.4461256247677 \tabularnewline
0.59 & 1869.92421588287 & 98.712161200805 \tabularnewline
0.6 & 1888.475318357 & 99.151042819202 \tabularnewline
0.61 & 1907.27226535125 & 99.9301852612067 \tabularnewline
0.62 & 1926.40173797146 & 101.198229704562 \tabularnewline
0.63 & 1945.96890362813 & 103.066445599879 \tabularnewline
0.64 & 1966.08805999822 & 105.577526298144 \tabularnewline
0.65 & 1986.87016067934 & 108.671053097677 \tabularnewline
0.66 & 2008.40929480424 & 112.193645132596 \tabularnewline
0.67 & 2030.77087200929 & 115.917398636309 \tabularnewline
0.68 & 2053.98447224173 & 119.570913558352 \tabularnewline
0.69 & 2078.04387593928 & 122.903347239743 \tabularnewline
0.7 & 2102.91564150995 & 125.734491090109 \tabularnewline
0.71 & 2128.55586413124 & 128.001782599557 \tabularnewline
0.72 & 2154.93273057082 & 129.795590049472 \tabularnewline
0.73 & 2182.05061308327 & 131.358336905614 \tabularnewline
0.74 & 2209.97021328517 & 133.049367089834 \tabularnewline
0.75 & 2238.81912758173 & 135.277037879304 \tabularnewline
0.76 & 2268.78847758785 & 138.40561062657 \tabularnewline
0.77 & 2300.11402259394 & 142.631767291533 \tabularnewline
0.78 & 2333.0442101291 & 147.93688647627 \tabularnewline
0.79 & 2367.80225579713 & 154.026309897309 \tabularnewline
0.8 & 2404.55340563658 & 160.407758597296 \tabularnewline
0.81 & 2443.39044182757 & 166.496024593171 \tabularnewline
0.82 & 2484.34863993048 & 171.803540194159 \tabularnewline
0.83 & 2527.45488187883 & 176.139088258767 \tabularnewline
0.84 & 2572.80517497682 & 179.744738920335 \tabularnewline
0.85 & 2620.65319109052 & 183.346782944537 \tabularnewline
0.86 & 2671.48385697631 & 187.987603266215 \tabularnewline
0.87 & 2726.04426430797 & 194.707168769333 \tabularnewline
0.88 & 2785.31006284523 & 204.136151479228 \tabularnewline
0.89 & 2850.37604882597 & 216.197972694945 \tabularnewline
0.9 & 2922.27109546507 & 229.987649529444 \tabularnewline
0.91 & 3001.71263009905 & 243.784791688159 \tabularnewline
0.92 & 3088.84987034557 & 255.078634389309 \tabularnewline
0.93 & 3183.11882315541 & 260.762423990473 \tabularnewline
0.94 & 3283.43771248155 & 257.935419217965 \tabularnewline
0.95 & 3389.00051855615 & 245.731013927617 \tabularnewline
0.96 & 3500.55966336861 & 227.781777896183 \tabularnewline
0.97 & 3620.77787121213 & 213.387971888216 \tabularnewline
0.98 & 3750.02207357722 & 214.502649261787 \tabularnewline
0.99 & 3874.63457213738 & 235.603222186314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]415.003795408433[/C][C]108.575484059547[/C][/ROW]
[ROW][C]0.02[/C][C]464.785827129523[/C][C]76.7680463101217[/C][/ROW]
[ROW][C]0.03[/C][C]510.073041495518[/C][C]61.9815960963079[/C][/ROW]
[ROW][C]0.04[/C][C]547.2668072194[/C][C]62.7849342896149[/C][/ROW]
[ROW][C]0.05[/C][C]579.260691639048[/C][C]67.9814498031488[/C][/ROW]
[ROW][C]0.06[/C][C]608.939484582533[/C][C]72.48249871024[/C][/ROW]
[ROW][C]0.07[/C][C]637.671215023884[/C][C]76.2850481820686[/C][/ROW]
[ROW][C]0.08[/C][C]665.978496564303[/C][C]80.6299660166945[/C][/ROW]
[ROW][C]0.09[/C][C]694.200166072135[/C][C]86.229344942506[/C][/ROW]
[ROW][C]0.1[/C][C]722.67670313673[/C][C]92.9253818750257[/C][/ROW]
[ROW][C]0.11[/C][C]751.680573001443[/C][C]99.9948638816128[/C][/ROW]
[ROW][C]0.12[/C][C]781.322052714326[/C][C]106.56156580329[/C][/ROW]
[ROW][C]0.13[/C][C]811.522363316825[/C][C]111.911066531938[/C][/ROW]
[ROW][C]0.14[/C][C]842.054500282829[/C][C]115.667187675847[/C][/ROW]
[ROW][C]0.15[/C][C]872.619439136414[/C][C]117.83262482789[/C][/ROW]
[ROW][C]0.16[/C][C]902.923915008587[/C][C]118.707729250666[/C][/ROW]
[ROW][C]0.17[/C][C]932.736528695095[/C][C]118.741570554592[/C][/ROW]
[ROW][C]0.18[/C][C]961.912518386337[/C][C]118.368037064249[/C][/ROW]
[ROW][C]0.19[/C][C]990.389616184858[/C][C]117.887523340899[/C][/ROW]
[ROW][C]0.2[/C][C]1018.16523935567[/C][C]117.430500204023[/C][/ROW]
[ROW][C]0.21[/C][C]1045.26777772965[/C][C]116.985382002564[/C][/ROW]
[ROW][C]0.22[/C][C]1071.73267567793[/C][C]116.46748074257[/C][/ROW]
[ROW][C]0.23[/C][C]1097.58936034379[/C][C]115.791906284498[/C][/ROW]
[ROW][C]0.24[/C][C]1122.86004992235[/C][C]114.93480484136[/C][/ROW]
[ROW][C]0.25[/C][C]1147.56767004895[/C][C]113.951022321951[/C][/ROW]
[ROW][C]0.26[/C][C]1171.74815079342[/C][C]112.986371848971[/C][/ROW]
[ROW][C]0.27[/C][C]1195.46213532292[/C][C]112.248341255388[/C][/ROW]
[ROW][C]0.28[/C][C]1218.80207940549[/C][C]111.983226664307[/C][/ROW]
[ROW][C]0.29[/C][C]1241.89228581695[/C][C]112.403036888099[/C][/ROW]
[ROW][C]0.3[/C][C]1264.88115483613[/C][C]113.659154658012[/C][/ROW]
[ROW][C]0.31[/C][C]1287.92655217526[/C][C]115.785739819155[/C][/ROW]
[ROW][C]0.32[/C][C]1311.17651832802[/C][C]118.675816965133[/C][/ROW]
[ROW][C]0.33[/C][C]1334.74844450959[/C][C]122.090665251432[/C][/ROW]
[ROW][C]0.34[/C][C]1358.71022870309[/C][C]125.675192814468[/C][/ROW]
[ROW][C]0.35[/C][C]1383.0667473193[/C][C]129.017088977916[/C][/ROW]
[ROW][C]0.36[/C][C]1407.75423958179[/C][C]131.690098961007[/C][/ROW]
[ROW][C]0.37[/C][C]1432.64399018704[/C][C]133.328043393077[/C][/ROW]
[ROW][C]0.38[/C][C]1457.5551882984[/C][C]133.667689677174[/C][/ROW]
[ROW][C]0.39[/C][C]1482.2752911039[/C][C]132.582221940352[/C][/ROW]
[ROW][C]0.4[/C][C]1506.58491821595[/C][C]130.107471515112[/C][/ROW]
[ROW][C]0.41[/C][C]1530.283515088[/C][C]126.434388567766[/C][/ROW]
[ROW][C]0.42[/C][C]1553.21192370193[/C][C]121.884572505185[/C][/ROW]
[ROW][C]0.43[/C][C]1575.26861699661[/C][C]116.854483033378[/C][/ROW]
[ROW][C]0.44[/C][C]1596.41755758078[/C][C]111.777990409927[/C][/ROW]
[ROW][C]0.45[/C][C]1616.68716422363[/C][C]107.04792913573[/C][/ROW]
[ROW][C]0.46[/C][C]1636.16137769475[/C][C]102.98255007706[/C][/ROW]
[ROW][C]0.47[/C][C]1654.96499850834[/C][C]99.7783140447216[/C][/ROW]
[ROW][C]0.48[/C][C]1673.24611285821[/C][C]97.507339609519[/C][/ROW]
[ROW][C]0.49[/C][C]1691.15846852963[/C][C]96.1282129181567[/C][/ROW]
[ROW][C]0.5[/C][C]1708.84619814499[/C][C]95.5055006317246[/C][/ROW]
[ROW][C]0.51[/C][C]1726.43250657958[/C][C]95.4628505366008[/C][/ROW]
[ROW][C]0.52[/C][C]1744.01307246611[/C][C]95.8053679556028[/C][/ROW]
[ROW][C]0.53[/C][C]1761.65415550618[/C][C]96.3506688939089[/C][/ROW]
[ROW][C]0.54[/C][C]1779.39486398624[/C][C]96.9483804275469[/C][/ROW]
[ROW][C]0.55[/C][C]1797.2527361051[/C][C]97.4886638725159[/C][/ROW]
[ROW][C]0.56[/C][C]1815.23166420659[/C][C]97.9099778145753[/C][/ROW]
[ROW][C]0.57[/C][C]1833.3311494435[/C][C]98.2118296713054[/C][/ROW]
[ROW][C]0.58[/C][C]1851.55583668714[/C][C]98.4461256247677[/C][/ROW]
[ROW][C]0.59[/C][C]1869.92421588287[/C][C]98.712161200805[/C][/ROW]
[ROW][C]0.6[/C][C]1888.475318357[/C][C]99.151042819202[/C][/ROW]
[ROW][C]0.61[/C][C]1907.27226535125[/C][C]99.9301852612067[/C][/ROW]
[ROW][C]0.62[/C][C]1926.40173797146[/C][C]101.198229704562[/C][/ROW]
[ROW][C]0.63[/C][C]1945.96890362813[/C][C]103.066445599879[/C][/ROW]
[ROW][C]0.64[/C][C]1966.08805999822[/C][C]105.577526298144[/C][/ROW]
[ROW][C]0.65[/C][C]1986.87016067934[/C][C]108.671053097677[/C][/ROW]
[ROW][C]0.66[/C][C]2008.40929480424[/C][C]112.193645132596[/C][/ROW]
[ROW][C]0.67[/C][C]2030.77087200929[/C][C]115.917398636309[/C][/ROW]
[ROW][C]0.68[/C][C]2053.98447224173[/C][C]119.570913558352[/C][/ROW]
[ROW][C]0.69[/C][C]2078.04387593928[/C][C]122.903347239743[/C][/ROW]
[ROW][C]0.7[/C][C]2102.91564150995[/C][C]125.734491090109[/C][/ROW]
[ROW][C]0.71[/C][C]2128.55586413124[/C][C]128.001782599557[/C][/ROW]
[ROW][C]0.72[/C][C]2154.93273057082[/C][C]129.795590049472[/C][/ROW]
[ROW][C]0.73[/C][C]2182.05061308327[/C][C]131.358336905614[/C][/ROW]
[ROW][C]0.74[/C][C]2209.97021328517[/C][C]133.049367089834[/C][/ROW]
[ROW][C]0.75[/C][C]2238.81912758173[/C][C]135.277037879304[/C][/ROW]
[ROW][C]0.76[/C][C]2268.78847758785[/C][C]138.40561062657[/C][/ROW]
[ROW][C]0.77[/C][C]2300.11402259394[/C][C]142.631767291533[/C][/ROW]
[ROW][C]0.78[/C][C]2333.0442101291[/C][C]147.93688647627[/C][/ROW]
[ROW][C]0.79[/C][C]2367.80225579713[/C][C]154.026309897309[/C][/ROW]
[ROW][C]0.8[/C][C]2404.55340563658[/C][C]160.407758597296[/C][/ROW]
[ROW][C]0.81[/C][C]2443.39044182757[/C][C]166.496024593171[/C][/ROW]
[ROW][C]0.82[/C][C]2484.34863993048[/C][C]171.803540194159[/C][/ROW]
[ROW][C]0.83[/C][C]2527.45488187883[/C][C]176.139088258767[/C][/ROW]
[ROW][C]0.84[/C][C]2572.80517497682[/C][C]179.744738920335[/C][/ROW]
[ROW][C]0.85[/C][C]2620.65319109052[/C][C]183.346782944537[/C][/ROW]
[ROW][C]0.86[/C][C]2671.48385697631[/C][C]187.987603266215[/C][/ROW]
[ROW][C]0.87[/C][C]2726.04426430797[/C][C]194.707168769333[/C][/ROW]
[ROW][C]0.88[/C][C]2785.31006284523[/C][C]204.136151479228[/C][/ROW]
[ROW][C]0.89[/C][C]2850.37604882597[/C][C]216.197972694945[/C][/ROW]
[ROW][C]0.9[/C][C]2922.27109546507[/C][C]229.987649529444[/C][/ROW]
[ROW][C]0.91[/C][C]3001.71263009905[/C][C]243.784791688159[/C][/ROW]
[ROW][C]0.92[/C][C]3088.84987034557[/C][C]255.078634389309[/C][/ROW]
[ROW][C]0.93[/C][C]3183.11882315541[/C][C]260.762423990473[/C][/ROW]
[ROW][C]0.94[/C][C]3283.43771248155[/C][C]257.935419217965[/C][/ROW]
[ROW][C]0.95[/C][C]3389.00051855615[/C][C]245.731013927617[/C][/ROW]
[ROW][C]0.96[/C][C]3500.55966336861[/C][C]227.781777896183[/C][/ROW]
[ROW][C]0.97[/C][C]3620.77787121213[/C][C]213.387971888216[/C][/ROW]
[ROW][C]0.98[/C][C]3750.02207357722[/C][C]214.502649261787[/C][/ROW]
[ROW][C]0.99[/C][C]3874.63457213738[/C][C]235.603222186314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01415.003795408433108.575484059547
0.02464.78582712952376.7680463101217
0.03510.07304149551861.9815960963079
0.04547.266807219462.7849342896149
0.05579.26069163904867.9814498031488
0.06608.93948458253372.48249871024
0.07637.67121502388476.2850481820686
0.08665.97849656430380.6299660166945
0.09694.20016607213586.229344942506
0.1722.6767031367392.9253818750257
0.11751.68057300144399.9948638816128
0.12781.322052714326106.56156580329
0.13811.522363316825111.911066531938
0.14842.054500282829115.667187675847
0.15872.619439136414117.83262482789
0.16902.923915008587118.707729250666
0.17932.736528695095118.741570554592
0.18961.912518386337118.368037064249
0.19990.389616184858117.887523340899
0.21018.16523935567117.430500204023
0.211045.26777772965116.985382002564
0.221071.73267567793116.46748074257
0.231097.58936034379115.791906284498
0.241122.86004992235114.93480484136
0.251147.56767004895113.951022321951
0.261171.74815079342112.986371848971
0.271195.46213532292112.248341255388
0.281218.80207940549111.983226664307
0.291241.89228581695112.403036888099
0.31264.88115483613113.659154658012
0.311287.92655217526115.785739819155
0.321311.17651832802118.675816965133
0.331334.74844450959122.090665251432
0.341358.71022870309125.675192814468
0.351383.0667473193129.017088977916
0.361407.75423958179131.690098961007
0.371432.64399018704133.328043393077
0.381457.5551882984133.667689677174
0.391482.2752911039132.582221940352
0.41506.58491821595130.107471515112
0.411530.283515088126.434388567766
0.421553.21192370193121.884572505185
0.431575.26861699661116.854483033378
0.441596.41755758078111.777990409927
0.451616.68716422363107.04792913573
0.461636.16137769475102.98255007706
0.471654.9649985083499.7783140447216
0.481673.2461128582197.507339609519
0.491691.1584685296396.1282129181567
0.51708.8461981449995.5055006317246
0.511726.4325065795895.4628505366008
0.521744.0130724661195.8053679556028
0.531761.6541555061896.3506688939089
0.541779.3948639862496.9483804275469
0.551797.252736105197.4886638725159
0.561815.2316642065997.9099778145753
0.571833.331149443598.2118296713054
0.581851.5558366871498.4461256247677
0.591869.9242158828798.712161200805
0.61888.47531835799.151042819202
0.611907.2722653512599.9301852612067
0.621926.40173797146101.198229704562
0.631945.96890362813103.066445599879
0.641966.08805999822105.577526298144
0.651986.87016067934108.671053097677
0.662008.40929480424112.193645132596
0.672030.77087200929115.917398636309
0.682053.98447224173119.570913558352
0.692078.04387593928122.903347239743
0.72102.91564150995125.734491090109
0.712128.55586413124128.001782599557
0.722154.93273057082129.795590049472
0.732182.05061308327131.358336905614
0.742209.97021328517133.049367089834
0.752238.81912758173135.277037879304
0.762268.78847758785138.40561062657
0.772300.11402259394142.631767291533
0.782333.0442101291147.93688647627
0.792367.80225579713154.026309897309
0.82404.55340563658160.407758597296
0.812443.39044182757166.496024593171
0.822484.34863993048171.803540194159
0.832527.45488187883176.139088258767
0.842572.80517497682179.744738920335
0.852620.65319109052183.346782944537
0.862671.48385697631187.987603266215
0.872726.04426430797194.707168769333
0.882785.31006284523204.136151479228
0.892850.37604882597216.197972694945
0.92922.27109546507229.987649529444
0.913001.71263009905243.784791688159
0.923088.84987034557255.078634389309
0.933183.11882315541260.762423990473
0.943283.43771248155257.935419217965
0.953389.00051855615245.731013927617
0.963500.55966336861227.781777896183
0.973620.77787121213213.387971888216
0.983750.02207357722214.502649261787
0.993874.63457213738235.603222186314


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')