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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 computationMon, 03 Mar 2008 08:20:31 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204557693q0txc3fg6y5jt9l.htm/, Retrieved Sun, 19 May 2024 02:18:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9900, Retrieved Sun, 19 May 2024 02:18:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

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] [werkloosheidsgraa...] [2008-03-03 15:20:31] [2fa459907c4dcce485bca7190e4cae85] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.3
15.3
18.6
18.2
16.1
13.1
16.5
16.5
14.7
12.1
15.7
15.7
14
11.7
15.2
15.6
14.3
12.5
16.6
18.1
18.5
17.6
22.6
23.9
23.2
20.6
24.2
24.5
22.9
20.4
23.9
24.1
22.3
19.5
23.3
23.4
21.8
19.8
23.3
23.2
21.2
19
23.8
24.3
23.1
21.6
22.2
17.4
15.6
14.5
20.3
16.1
14.1
15.3
17.8
19.6
17.8
15.7
18.9
18.4
20.8
19
24.5
22.6
19.6
17.5
25
22.3
20.5
19.9
23.4
22.1
20
18.9
23
20
18.6
19.2
20.3
17.8

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9900&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9900&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9900&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.87960240596570.435251670017154
0.0212.1883258174780.562256551799086
0.0312.55813841962170.702014861597593
0.0412.9444528738290.77807882421834
0.0513.31730024662160.774409856518675
0.0613.65602229298540.717857711955299
0.0713.95148792028730.648161165614485
0.0814.20545382960700.5931666134443
0.0914.42574556193670.559289522597723
0.114.62093665022270.53798432626508
0.1114.79725485305420.518162406909664
0.1214.95806282679540.493663519211923
0.1315.10487818943490.46442473140101
0.1415.23873984827040.434528979549567
0.1515.36118906674940.409733202384092
0.1615.47465292063530.395455037761498
0.1715.58233842298440.395348811195349
0.1815.68785258203260.410583402681186
0.1915.79474106463350.439852030868096
0.215.90607090938660.479995342408225
0.2116.02412021341170.526844289955671
0.2216.15019594471980.575849496135103
0.2316.28457797717640.622590209149987
0.2416.42657596926100.663052375564393
0.2516.57467979414460.694031148431328
0.2616.72678026373390.71329617278963
0.2716.88043322431410.719823620957888
0.2817.03313669543680.713880170056981
0.2917.18258891930260.697037198018844
0.317.32689703848580.671685893356605
0.3117.46471315874480.640872243512886
0.3217.59528659195060.607728528093394
0.3317.71843579738890.575032865142984
0.3417.83445722373670.544987044761048
0.3517.94399724170510.518906024458223
0.3618.04791551872240.49742841384782
0.3718.14716365686430.480569146295273
0.3818.24269384382200.46798848779955
0.3918.33540182561550.459246566873754
0.418.42609968752100.453920976725375
0.4118.51550863276630.451633656595837
0.4218.60426067573540.452088801396678
0.4318.69290022318200.454929446423988
0.4418.78188053533330.459712123586962
0.4518.87155454848060.465916812083408
0.4618.96216328460330.472912620766396
0.4719.05382731352570.48000709882358
0.4819.14654718962010.486468978299702
0.4919.24021758774440.491676586438717
0.519.33465744474910.495262870074334
0.5119.42965538471050.497169433758649
0.5219.52502671425550.497639639650418
0.5319.62067585167030.497324661196793
0.5419.71665650490810.497239939691181
0.5519.81322128649720.498578445250264
0.5619.91085261871180.502757674115317
0.5720.01026760143500.511133622749553
0.5820.11239100966670.524841207207797
0.5920.21829300791810.544549622062509
0.620.32909188362630.57034432879103
0.6120.44582731521370.601468047569
0.6220.56931608984810.636275523689956
0.6320.70000869834470.672332603180128
0.6420.83787006764890.706657408593473
0.6520.98230874821990.736055431544184
0.6621.13217447779710.75752722898167
0.6721.28583374629690.768734400426673
0.6821.44131813708620.76839168832728
0.6921.59652398887320.756340973689975
0.721.74942864718770.733817498978722
0.7121.8982825240790.702900401860472
0.7222.04174010833140.666305910986677
0.7322.17890703254670.626817472788726
0.7422.30930129343630.586739972626058
0.7522.43274925735180.54747498886903
0.7622.54925473715160.509618748696305
0.7722.65888677820490.472958825744902
0.7822.76172613545460.437031902407313
0.7922.85789261316290.401590473352758
0.822.94764959351590.367018463551047
0.8123.03155441459300.334577427664172
0.8223.11060071459490.306328873455398
0.8323.18628818844960.284764876327135
0.8423.26056246072890.272075142828616
0.8523.33559718575110.269125069417064
0.8623.41344126288990.274567397725920
0.8723.49561544101180.28480628658327
0.8823.58279079135130.295005753110001
0.8923.67468506350070.30063729513669
0.923.77024958773270.298949570219475
0.9123.86809766883240.289686754023591
0.9223.96699600292830.274828173794404
0.9324.06619749253160.257245595729343
0.9424.16558959843520.238848436736675
0.9524.26625379520990.219660470289644
0.9624.37281601258960.200264033574911
0.9724.49762473849220.194431615336184
0.9824.65846887408220.245136473261825
0.9924.85041017728690.371146260663306

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.8796024059657 & 0.435251670017154 \tabularnewline
0.02 & 12.188325817478 & 0.562256551799086 \tabularnewline
0.03 & 12.5581384196217 & 0.702014861597593 \tabularnewline
0.04 & 12.944452873829 & 0.77807882421834 \tabularnewline
0.05 & 13.3173002466216 & 0.774409856518675 \tabularnewline
0.06 & 13.6560222929854 & 0.717857711955299 \tabularnewline
0.07 & 13.9514879202873 & 0.648161165614485 \tabularnewline
0.08 & 14.2054538296070 & 0.5931666134443 \tabularnewline
0.09 & 14.4257455619367 & 0.559289522597723 \tabularnewline
0.1 & 14.6209366502227 & 0.53798432626508 \tabularnewline
0.11 & 14.7972548530542 & 0.518162406909664 \tabularnewline
0.12 & 14.9580628267954 & 0.493663519211923 \tabularnewline
0.13 & 15.1048781894349 & 0.46442473140101 \tabularnewline
0.14 & 15.2387398482704 & 0.434528979549567 \tabularnewline
0.15 & 15.3611890667494 & 0.409733202384092 \tabularnewline
0.16 & 15.4746529206353 & 0.395455037761498 \tabularnewline
0.17 & 15.5823384229844 & 0.395348811195349 \tabularnewline
0.18 & 15.6878525820326 & 0.410583402681186 \tabularnewline
0.19 & 15.7947410646335 & 0.439852030868096 \tabularnewline
0.2 & 15.9060709093866 & 0.479995342408225 \tabularnewline
0.21 & 16.0241202134117 & 0.526844289955671 \tabularnewline
0.22 & 16.1501959447198 & 0.575849496135103 \tabularnewline
0.23 & 16.2845779771764 & 0.622590209149987 \tabularnewline
0.24 & 16.4265759692610 & 0.663052375564393 \tabularnewline
0.25 & 16.5746797941446 & 0.694031148431328 \tabularnewline
0.26 & 16.7267802637339 & 0.71329617278963 \tabularnewline
0.27 & 16.8804332243141 & 0.719823620957888 \tabularnewline
0.28 & 17.0331366954368 & 0.713880170056981 \tabularnewline
0.29 & 17.1825889193026 & 0.697037198018844 \tabularnewline
0.3 & 17.3268970384858 & 0.671685893356605 \tabularnewline
0.31 & 17.4647131587448 & 0.640872243512886 \tabularnewline
0.32 & 17.5952865919506 & 0.607728528093394 \tabularnewline
0.33 & 17.7184357973889 & 0.575032865142984 \tabularnewline
0.34 & 17.8344572237367 & 0.544987044761048 \tabularnewline
0.35 & 17.9439972417051 & 0.518906024458223 \tabularnewline
0.36 & 18.0479155187224 & 0.49742841384782 \tabularnewline
0.37 & 18.1471636568643 & 0.480569146295273 \tabularnewline
0.38 & 18.2426938438220 & 0.46798848779955 \tabularnewline
0.39 & 18.3354018256155 & 0.459246566873754 \tabularnewline
0.4 & 18.4260996875210 & 0.453920976725375 \tabularnewline
0.41 & 18.5155086327663 & 0.451633656595837 \tabularnewline
0.42 & 18.6042606757354 & 0.452088801396678 \tabularnewline
0.43 & 18.6929002231820 & 0.454929446423988 \tabularnewline
0.44 & 18.7818805353333 & 0.459712123586962 \tabularnewline
0.45 & 18.8715545484806 & 0.465916812083408 \tabularnewline
0.46 & 18.9621632846033 & 0.472912620766396 \tabularnewline
0.47 & 19.0538273135257 & 0.48000709882358 \tabularnewline
0.48 & 19.1465471896201 & 0.486468978299702 \tabularnewline
0.49 & 19.2402175877444 & 0.491676586438717 \tabularnewline
0.5 & 19.3346574447491 & 0.495262870074334 \tabularnewline
0.51 & 19.4296553847105 & 0.497169433758649 \tabularnewline
0.52 & 19.5250267142555 & 0.497639639650418 \tabularnewline
0.53 & 19.6206758516703 & 0.497324661196793 \tabularnewline
0.54 & 19.7166565049081 & 0.497239939691181 \tabularnewline
0.55 & 19.8132212864972 & 0.498578445250264 \tabularnewline
0.56 & 19.9108526187118 & 0.502757674115317 \tabularnewline
0.57 & 20.0102676014350 & 0.511133622749553 \tabularnewline
0.58 & 20.1123910096667 & 0.524841207207797 \tabularnewline
0.59 & 20.2182930079181 & 0.544549622062509 \tabularnewline
0.6 & 20.3290918836263 & 0.57034432879103 \tabularnewline
0.61 & 20.4458273152137 & 0.601468047569 \tabularnewline
0.62 & 20.5693160898481 & 0.636275523689956 \tabularnewline
0.63 & 20.7000086983447 & 0.672332603180128 \tabularnewline
0.64 & 20.8378700676489 & 0.706657408593473 \tabularnewline
0.65 & 20.9823087482199 & 0.736055431544184 \tabularnewline
0.66 & 21.1321744777971 & 0.75752722898167 \tabularnewline
0.67 & 21.2858337462969 & 0.768734400426673 \tabularnewline
0.68 & 21.4413181370862 & 0.76839168832728 \tabularnewline
0.69 & 21.5965239888732 & 0.756340973689975 \tabularnewline
0.7 & 21.7494286471877 & 0.733817498978722 \tabularnewline
0.71 & 21.898282524079 & 0.702900401860472 \tabularnewline
0.72 & 22.0417401083314 & 0.666305910986677 \tabularnewline
0.73 & 22.1789070325467 & 0.626817472788726 \tabularnewline
0.74 & 22.3093012934363 & 0.586739972626058 \tabularnewline
0.75 & 22.4327492573518 & 0.54747498886903 \tabularnewline
0.76 & 22.5492547371516 & 0.509618748696305 \tabularnewline
0.77 & 22.6588867782049 & 0.472958825744902 \tabularnewline
0.78 & 22.7617261354546 & 0.437031902407313 \tabularnewline
0.79 & 22.8578926131629 & 0.401590473352758 \tabularnewline
0.8 & 22.9476495935159 & 0.367018463551047 \tabularnewline
0.81 & 23.0315544145930 & 0.334577427664172 \tabularnewline
0.82 & 23.1106007145949 & 0.306328873455398 \tabularnewline
0.83 & 23.1862881884496 & 0.284764876327135 \tabularnewline
0.84 & 23.2605624607289 & 0.272075142828616 \tabularnewline
0.85 & 23.3355971857511 & 0.269125069417064 \tabularnewline
0.86 & 23.4134412628899 & 0.274567397725920 \tabularnewline
0.87 & 23.4956154410118 & 0.28480628658327 \tabularnewline
0.88 & 23.5827907913513 & 0.295005753110001 \tabularnewline
0.89 & 23.6746850635007 & 0.30063729513669 \tabularnewline
0.9 & 23.7702495877327 & 0.298949570219475 \tabularnewline
0.91 & 23.8680976688324 & 0.289686754023591 \tabularnewline
0.92 & 23.9669960029283 & 0.274828173794404 \tabularnewline
0.93 & 24.0661974925316 & 0.257245595729343 \tabularnewline
0.94 & 24.1655895984352 & 0.238848436736675 \tabularnewline
0.95 & 24.2662537952099 & 0.219660470289644 \tabularnewline
0.96 & 24.3728160125896 & 0.200264033574911 \tabularnewline
0.97 & 24.4976247384922 & 0.194431615336184 \tabularnewline
0.98 & 24.6584688740822 & 0.245136473261825 \tabularnewline
0.99 & 24.8504101772869 & 0.371146260663306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9900&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]11.8796024059657[/C][C]0.435251670017154[/C][/ROW]
[ROW][C]0.02[/C][C]12.188325817478[/C][C]0.562256551799086[/C][/ROW]
[ROW][C]0.03[/C][C]12.5581384196217[/C][C]0.702014861597593[/C][/ROW]
[ROW][C]0.04[/C][C]12.944452873829[/C][C]0.77807882421834[/C][/ROW]
[ROW][C]0.05[/C][C]13.3173002466216[/C][C]0.774409856518675[/C][/ROW]
[ROW][C]0.06[/C][C]13.6560222929854[/C][C]0.717857711955299[/C][/ROW]
[ROW][C]0.07[/C][C]13.9514879202873[/C][C]0.648161165614485[/C][/ROW]
[ROW][C]0.08[/C][C]14.2054538296070[/C][C]0.5931666134443[/C][/ROW]
[ROW][C]0.09[/C][C]14.4257455619367[/C][C]0.559289522597723[/C][/ROW]
[ROW][C]0.1[/C][C]14.6209366502227[/C][C]0.53798432626508[/C][/ROW]
[ROW][C]0.11[/C][C]14.7972548530542[/C][C]0.518162406909664[/C][/ROW]
[ROW][C]0.12[/C][C]14.9580628267954[/C][C]0.493663519211923[/C][/ROW]
[ROW][C]0.13[/C][C]15.1048781894349[/C][C]0.46442473140101[/C][/ROW]
[ROW][C]0.14[/C][C]15.2387398482704[/C][C]0.434528979549567[/C][/ROW]
[ROW][C]0.15[/C][C]15.3611890667494[/C][C]0.409733202384092[/C][/ROW]
[ROW][C]0.16[/C][C]15.4746529206353[/C][C]0.395455037761498[/C][/ROW]
[ROW][C]0.17[/C][C]15.5823384229844[/C][C]0.395348811195349[/C][/ROW]
[ROW][C]0.18[/C][C]15.6878525820326[/C][C]0.410583402681186[/C][/ROW]
[ROW][C]0.19[/C][C]15.7947410646335[/C][C]0.439852030868096[/C][/ROW]
[ROW][C]0.2[/C][C]15.9060709093866[/C][C]0.479995342408225[/C][/ROW]
[ROW][C]0.21[/C][C]16.0241202134117[/C][C]0.526844289955671[/C][/ROW]
[ROW][C]0.22[/C][C]16.1501959447198[/C][C]0.575849496135103[/C][/ROW]
[ROW][C]0.23[/C][C]16.2845779771764[/C][C]0.622590209149987[/C][/ROW]
[ROW][C]0.24[/C][C]16.4265759692610[/C][C]0.663052375564393[/C][/ROW]
[ROW][C]0.25[/C][C]16.5746797941446[/C][C]0.694031148431328[/C][/ROW]
[ROW][C]0.26[/C][C]16.7267802637339[/C][C]0.71329617278963[/C][/ROW]
[ROW][C]0.27[/C][C]16.8804332243141[/C][C]0.719823620957888[/C][/ROW]
[ROW][C]0.28[/C][C]17.0331366954368[/C][C]0.713880170056981[/C][/ROW]
[ROW][C]0.29[/C][C]17.1825889193026[/C][C]0.697037198018844[/C][/ROW]
[ROW][C]0.3[/C][C]17.3268970384858[/C][C]0.671685893356605[/C][/ROW]
[ROW][C]0.31[/C][C]17.4647131587448[/C][C]0.640872243512886[/C][/ROW]
[ROW][C]0.32[/C][C]17.5952865919506[/C][C]0.607728528093394[/C][/ROW]
[ROW][C]0.33[/C][C]17.7184357973889[/C][C]0.575032865142984[/C][/ROW]
[ROW][C]0.34[/C][C]17.8344572237367[/C][C]0.544987044761048[/C][/ROW]
[ROW][C]0.35[/C][C]17.9439972417051[/C][C]0.518906024458223[/C][/ROW]
[ROW][C]0.36[/C][C]18.0479155187224[/C][C]0.49742841384782[/C][/ROW]
[ROW][C]0.37[/C][C]18.1471636568643[/C][C]0.480569146295273[/C][/ROW]
[ROW][C]0.38[/C][C]18.2426938438220[/C][C]0.46798848779955[/C][/ROW]
[ROW][C]0.39[/C][C]18.3354018256155[/C][C]0.459246566873754[/C][/ROW]
[ROW][C]0.4[/C][C]18.4260996875210[/C][C]0.453920976725375[/C][/ROW]
[ROW][C]0.41[/C][C]18.5155086327663[/C][C]0.451633656595837[/C][/ROW]
[ROW][C]0.42[/C][C]18.6042606757354[/C][C]0.452088801396678[/C][/ROW]
[ROW][C]0.43[/C][C]18.6929002231820[/C][C]0.454929446423988[/C][/ROW]
[ROW][C]0.44[/C][C]18.7818805353333[/C][C]0.459712123586962[/C][/ROW]
[ROW][C]0.45[/C][C]18.8715545484806[/C][C]0.465916812083408[/C][/ROW]
[ROW][C]0.46[/C][C]18.9621632846033[/C][C]0.472912620766396[/C][/ROW]
[ROW][C]0.47[/C][C]19.0538273135257[/C][C]0.48000709882358[/C][/ROW]
[ROW][C]0.48[/C][C]19.1465471896201[/C][C]0.486468978299702[/C][/ROW]
[ROW][C]0.49[/C][C]19.2402175877444[/C][C]0.491676586438717[/C][/ROW]
[ROW][C]0.5[/C][C]19.3346574447491[/C][C]0.495262870074334[/C][/ROW]
[ROW][C]0.51[/C][C]19.4296553847105[/C][C]0.497169433758649[/C][/ROW]
[ROW][C]0.52[/C][C]19.5250267142555[/C][C]0.497639639650418[/C][/ROW]
[ROW][C]0.53[/C][C]19.6206758516703[/C][C]0.497324661196793[/C][/ROW]
[ROW][C]0.54[/C][C]19.7166565049081[/C][C]0.497239939691181[/C][/ROW]
[ROW][C]0.55[/C][C]19.8132212864972[/C][C]0.498578445250264[/C][/ROW]
[ROW][C]0.56[/C][C]19.9108526187118[/C][C]0.502757674115317[/C][/ROW]
[ROW][C]0.57[/C][C]20.0102676014350[/C][C]0.511133622749553[/C][/ROW]
[ROW][C]0.58[/C][C]20.1123910096667[/C][C]0.524841207207797[/C][/ROW]
[ROW][C]0.59[/C][C]20.2182930079181[/C][C]0.544549622062509[/C][/ROW]
[ROW][C]0.6[/C][C]20.3290918836263[/C][C]0.57034432879103[/C][/ROW]
[ROW][C]0.61[/C][C]20.4458273152137[/C][C]0.601468047569[/C][/ROW]
[ROW][C]0.62[/C][C]20.5693160898481[/C][C]0.636275523689956[/C][/ROW]
[ROW][C]0.63[/C][C]20.7000086983447[/C][C]0.672332603180128[/C][/ROW]
[ROW][C]0.64[/C][C]20.8378700676489[/C][C]0.706657408593473[/C][/ROW]
[ROW][C]0.65[/C][C]20.9823087482199[/C][C]0.736055431544184[/C][/ROW]
[ROW][C]0.66[/C][C]21.1321744777971[/C][C]0.75752722898167[/C][/ROW]
[ROW][C]0.67[/C][C]21.2858337462969[/C][C]0.768734400426673[/C][/ROW]
[ROW][C]0.68[/C][C]21.4413181370862[/C][C]0.76839168832728[/C][/ROW]
[ROW][C]0.69[/C][C]21.5965239888732[/C][C]0.756340973689975[/C][/ROW]
[ROW][C]0.7[/C][C]21.7494286471877[/C][C]0.733817498978722[/C][/ROW]
[ROW][C]0.71[/C][C]21.898282524079[/C][C]0.702900401860472[/C][/ROW]
[ROW][C]0.72[/C][C]22.0417401083314[/C][C]0.666305910986677[/C][/ROW]
[ROW][C]0.73[/C][C]22.1789070325467[/C][C]0.626817472788726[/C][/ROW]
[ROW][C]0.74[/C][C]22.3093012934363[/C][C]0.586739972626058[/C][/ROW]
[ROW][C]0.75[/C][C]22.4327492573518[/C][C]0.54747498886903[/C][/ROW]
[ROW][C]0.76[/C][C]22.5492547371516[/C][C]0.509618748696305[/C][/ROW]
[ROW][C]0.77[/C][C]22.6588867782049[/C][C]0.472958825744902[/C][/ROW]
[ROW][C]0.78[/C][C]22.7617261354546[/C][C]0.437031902407313[/C][/ROW]
[ROW][C]0.79[/C][C]22.8578926131629[/C][C]0.401590473352758[/C][/ROW]
[ROW][C]0.8[/C][C]22.9476495935159[/C][C]0.367018463551047[/C][/ROW]
[ROW][C]0.81[/C][C]23.0315544145930[/C][C]0.334577427664172[/C][/ROW]
[ROW][C]0.82[/C][C]23.1106007145949[/C][C]0.306328873455398[/C][/ROW]
[ROW][C]0.83[/C][C]23.1862881884496[/C][C]0.284764876327135[/C][/ROW]
[ROW][C]0.84[/C][C]23.2605624607289[/C][C]0.272075142828616[/C][/ROW]
[ROW][C]0.85[/C][C]23.3355971857511[/C][C]0.269125069417064[/C][/ROW]
[ROW][C]0.86[/C][C]23.4134412628899[/C][C]0.274567397725920[/C][/ROW]
[ROW][C]0.87[/C][C]23.4956154410118[/C][C]0.28480628658327[/C][/ROW]
[ROW][C]0.88[/C][C]23.5827907913513[/C][C]0.295005753110001[/C][/ROW]
[ROW][C]0.89[/C][C]23.6746850635007[/C][C]0.30063729513669[/C][/ROW]
[ROW][C]0.9[/C][C]23.7702495877327[/C][C]0.298949570219475[/C][/ROW]
[ROW][C]0.91[/C][C]23.8680976688324[/C][C]0.289686754023591[/C][/ROW]
[ROW][C]0.92[/C][C]23.9669960029283[/C][C]0.274828173794404[/C][/ROW]
[ROW][C]0.93[/C][C]24.0661974925316[/C][C]0.257245595729343[/C][/ROW]
[ROW][C]0.94[/C][C]24.1655895984352[/C][C]0.238848436736675[/C][/ROW]
[ROW][C]0.95[/C][C]24.2662537952099[/C][C]0.219660470289644[/C][/ROW]
[ROW][C]0.96[/C][C]24.3728160125896[/C][C]0.200264033574911[/C][/ROW]
[ROW][C]0.97[/C][C]24.4976247384922[/C][C]0.194431615336184[/C][/ROW]
[ROW][C]0.98[/C][C]24.6584688740822[/C][C]0.245136473261825[/C][/ROW]
[ROW][C]0.99[/C][C]24.8504101772869[/C][C]0.371146260663306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9900&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9900&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
0.0111.87960240596570.435251670017154
0.0212.1883258174780.562256551799086
0.0312.55813841962170.702014861597593
0.0412.9444528738290.77807882421834
0.0513.31730024662160.774409856518675
0.0613.65602229298540.717857711955299
0.0713.95148792028730.648161165614485
0.0814.20545382960700.5931666134443
0.0914.42574556193670.559289522597723
0.114.62093665022270.53798432626508
0.1114.79725485305420.518162406909664
0.1214.95806282679540.493663519211923
0.1315.10487818943490.46442473140101
0.1415.23873984827040.434528979549567
0.1515.36118906674940.409733202384092
0.1615.47465292063530.395455037761498
0.1715.58233842298440.395348811195349
0.1815.68785258203260.410583402681186
0.1915.79474106463350.439852030868096
0.215.90607090938660.479995342408225
0.2116.02412021341170.526844289955671
0.2216.15019594471980.575849496135103
0.2316.28457797717640.622590209149987
0.2416.42657596926100.663052375564393
0.2516.57467979414460.694031148431328
0.2616.72678026373390.71329617278963
0.2716.88043322431410.719823620957888
0.2817.03313669543680.713880170056981
0.2917.18258891930260.697037198018844
0.317.32689703848580.671685893356605
0.3117.46471315874480.640872243512886
0.3217.59528659195060.607728528093394
0.3317.71843579738890.575032865142984
0.3417.83445722373670.544987044761048
0.3517.94399724170510.518906024458223
0.3618.04791551872240.49742841384782
0.3718.14716365686430.480569146295273
0.3818.24269384382200.46798848779955
0.3918.33540182561550.459246566873754
0.418.42609968752100.453920976725375
0.4118.51550863276630.451633656595837
0.4218.60426067573540.452088801396678
0.4318.69290022318200.454929446423988
0.4418.78188053533330.459712123586962
0.4518.87155454848060.465916812083408
0.4618.96216328460330.472912620766396
0.4719.05382731352570.48000709882358
0.4819.14654718962010.486468978299702
0.4919.24021758774440.491676586438717
0.519.33465744474910.495262870074334
0.5119.42965538471050.497169433758649
0.5219.52502671425550.497639639650418
0.5319.62067585167030.497324661196793
0.5419.71665650490810.497239939691181
0.5519.81322128649720.498578445250264
0.5619.91085261871180.502757674115317
0.5720.01026760143500.511133622749553
0.5820.11239100966670.524841207207797
0.5920.21829300791810.544549622062509
0.620.32909188362630.57034432879103
0.6120.44582731521370.601468047569
0.6220.56931608984810.636275523689956
0.6320.70000869834470.672332603180128
0.6420.83787006764890.706657408593473
0.6520.98230874821990.736055431544184
0.6621.13217447779710.75752722898167
0.6721.28583374629690.768734400426673
0.6821.44131813708620.76839168832728
0.6921.59652398887320.756340973689975
0.721.74942864718770.733817498978722
0.7121.8982825240790.702900401860472
0.7222.04174010833140.666305910986677
0.7322.17890703254670.626817472788726
0.7422.30930129343630.586739972626058
0.7522.43274925735180.54747498886903
0.7622.54925473715160.509618748696305
0.7722.65888677820490.472958825744902
0.7822.76172613545460.437031902407313
0.7922.85789261316290.401590473352758
0.822.94764959351590.367018463551047
0.8123.03155441459300.334577427664172
0.8223.11060071459490.306328873455398
0.8323.18628818844960.284764876327135
0.8423.26056246072890.272075142828616
0.8523.33559718575110.269125069417064
0.8623.41344126288990.274567397725920
0.8723.49561544101180.28480628658327
0.8823.58279079135130.295005753110001
0.8923.67468506350070.30063729513669
0.923.77024958773270.298949570219475
0.9123.86809766883240.289686754023591
0.9223.96699600292830.274828173794404
0.9324.06619749253160.257245595729343
0.9424.16558959843520.238848436736675
0.9524.26625379520990.219660470289644
0.9624.37281601258960.200264033574911
0.9724.49762473849220.194431615336184
0.9824.65846887408220.245136473261825
0.9924.85041017728690.371146260663306


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')