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 Mar 2008 05:01:57 -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/t1204545921msdon3641ecqw40.htm/, Retrieved Sun, 19 May 2024 03:03:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9868, Retrieved Sun, 19 May 2024 03:03:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsopgave 4 gemiddelde prijzen van scheermachines
Estimated Impact194

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] [Percielen scheerm...] [2008-03-03 12:01:57] [80d88a38ebee1e39f846defee1b12cef] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68.98
68.88
68.88
68.88
68.88
68.64
68.61
68.61
68.61
68.58
68.75
68.54
68.5
68.47
68.47
68.47
68.59
68.32
67.86
67.91
67.91
68.05
68.15
68.25
68.25
68.31
68.31
69.65
69.65
70.18
70.08
70.08
70.09
70.04
70.14
70.26
70.23
70.54
70.54
70.57
70.61
70.63
70.45
70.4
70.4
70.33
70.51
70.45
70.39
70.59
70.59
70.32
70.94
70.44
70.57
70.61
70.61
70.68
69.96
70.11
70.22
70.49
70.49
70.58
70.85
70.69
70.7
70.7
70.7
70.67
70.64
70.98
70.75
70.88
70.88
70.92
70.89
71.02
71.01
71.02

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9868&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9868&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9868&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.87997143569350.0489549894064178
0.0267.91563213452320.069944523765191
0.0367.96279203248270.10297831679786
0.0468.0182887366530.127054167356065
0.0568.07743420980910.134554021384974
0.0668.13490284882970.128887491315888
0.0768.18698621943840.117455040118502
0.0868.23248223151780.106666009530272
0.0968.2721091191950.100046528463415
0.168.3074137223570.097758609280932
0.1168.33989402877010.0980404972395903
0.1268.37056615043260.0987749723514432
0.1368.39991029729590.098588422463079
0.1468.4280318554360.0969588093597646
0.1568.45488452698660.0945121322661899
0.1668.48045719716160.0918113834488097
0.1768.50488601433350.0900084729735492
0.1868.52849660300770.0899543253966643
0.1968.55180100361360.0925393536059681
0.268.57547401462910.0985719562315203
0.2168.60032409063780.108630867458224
0.2268.62726400097190.123280062682060
0.2368.65728050051950.142801492180966
0.2468.69140006356060.167406518814984
0.2568.73064707043830.197092021266475
0.2668.77599032082450.231581526740674
0.2768.82827390034110.270154238842756
0.2868.88813088058470.311648125388175
0.2968.95588409672720.354410461655278
0.369.03144639400050.395867271976748
0.3169.11424034115050.433178894257647
0.3269.20316077302150.463481587754842
0.3369.29659996122910.48420501238124
0.3469.3925444807140.493334014323421
0.3569.48873749257910.489846237143983
0.3669.58288466967310.474461499787343
0.3769.67287106951220.448288844839527
0.3869.7569531610030.413892812374356
0.3969.83389565672730.374333966068619
0.469.90303491678130.332655903566742
0.4169.96426585144260.291711387274058
0.4270.01796341276420.253973093033539
0.4370.0648597208810.2210021242698
0.4470.10590202676720.193634608837743
0.4570.14211522733810.17186793811092
0.4670.17448701505830.155419854448314
0.4770.20388608733870.143211155037202
0.4870.23101621116560.134203623226275
0.4970.25640281856330.127099303271835
0.570.28040492002960.121384798366092
0.5170.30324349594490.116205441081447
0.5270.32503772748770.111137728806791
0.5370.3458418305790.106131339131237
0.5470.3656772490980.100930534405646
0.5570.38455707545820.0957131730440082
0.5670.40250149374190.0906258642361317
0.5770.41954461848020.0857587691903854
0.5870.43573425758920.081231573883
0.5970.45112683893250.0770100287000865
0.670.46578001537830.0730876379462208
0.6170.47974533951250.0695392590610091
0.6270.49306294382970.0660980074188056
0.6370.50575947426220.0628166326200492
0.6470.5178497265310.0595169929274062
0.6570.52934165455530.0561782869581105
0.6670.54024377176640.0528492678753326
0.6770.5505735300910.0496205669387373
0.6870.56036507559570.046558152183778
0.6970.56967484438270.0437598569998534
0.770.57858375650510.0414191402402327
0.7170.58719526976490.0396579034961183
0.7270.5956292633190.038479703356939
0.7370.60401262846440.0379724251164334
0.7470.61246850172230.0380847030147862
0.7570.62110711930640.0386142822175169
0.7670.63002196060510.0394538363056121
0.7770.63929466173450.0405203350452712
0.7870.64901054308930.0417151167275909
0.7970.65928315792890.0430912907176406
0.870.67028132121250.045113781849057
0.8170.68224694303640.0479847501005689
0.8270.69548913080780.0521934780793764
0.8370.71034249239370.0577689782663602
0.8470.72708759465170.064381800856156
0.8570.74584844892340.0711212075564816
0.8670.76650045945880.0767500934801118
0.8770.78863291134510.0799643717784826
0.8870.81160248409680.0799153862350565
0.8970.83468389170640.0764897626297025
0.970.85727783100980.0705172692247609
0.9170.8790946205870.0635590475419566
0.9270.9002182529410.0573414577007437
0.9370.92098520093670.0529585954991666
0.9470.94168237693940.0499699754592248
0.9570.96216031650730.0466723905356623
0.9670.9815437439020.0409317601258828
0.9770.99826569839690.031473192134961
0.9871.01059564404080.0191092112866252
0.9971.0175969911080.00712609126355718

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.8799714356935 & 0.0489549894064178 \tabularnewline
0.02 & 67.9156321345232 & 0.069944523765191 \tabularnewline
0.03 & 67.9627920324827 & 0.10297831679786 \tabularnewline
0.04 & 68.018288736653 & 0.127054167356065 \tabularnewline
0.05 & 68.0774342098091 & 0.134554021384974 \tabularnewline
0.06 & 68.1349028488297 & 0.128887491315888 \tabularnewline
0.07 & 68.1869862194384 & 0.117455040118502 \tabularnewline
0.08 & 68.2324822315178 & 0.106666009530272 \tabularnewline
0.09 & 68.272109119195 & 0.100046528463415 \tabularnewline
0.1 & 68.307413722357 & 0.097758609280932 \tabularnewline
0.11 & 68.3398940287701 & 0.0980404972395903 \tabularnewline
0.12 & 68.3705661504326 & 0.0987749723514432 \tabularnewline
0.13 & 68.3999102972959 & 0.098588422463079 \tabularnewline
0.14 & 68.428031855436 & 0.0969588093597646 \tabularnewline
0.15 & 68.4548845269866 & 0.0945121322661899 \tabularnewline
0.16 & 68.4804571971616 & 0.0918113834488097 \tabularnewline
0.17 & 68.5048860143335 & 0.0900084729735492 \tabularnewline
0.18 & 68.5284966030077 & 0.0899543253966643 \tabularnewline
0.19 & 68.5518010036136 & 0.0925393536059681 \tabularnewline
0.2 & 68.5754740146291 & 0.0985719562315203 \tabularnewline
0.21 & 68.6003240906378 & 0.108630867458224 \tabularnewline
0.22 & 68.6272640009719 & 0.123280062682060 \tabularnewline
0.23 & 68.6572805005195 & 0.142801492180966 \tabularnewline
0.24 & 68.6914000635606 & 0.167406518814984 \tabularnewline
0.25 & 68.7306470704383 & 0.197092021266475 \tabularnewline
0.26 & 68.7759903208245 & 0.231581526740674 \tabularnewline
0.27 & 68.8282739003411 & 0.270154238842756 \tabularnewline
0.28 & 68.8881308805847 & 0.311648125388175 \tabularnewline
0.29 & 68.9558840967272 & 0.354410461655278 \tabularnewline
0.3 & 69.0314463940005 & 0.395867271976748 \tabularnewline
0.31 & 69.1142403411505 & 0.433178894257647 \tabularnewline
0.32 & 69.2031607730215 & 0.463481587754842 \tabularnewline
0.33 & 69.2965999612291 & 0.48420501238124 \tabularnewline
0.34 & 69.392544480714 & 0.493334014323421 \tabularnewline
0.35 & 69.4887374925791 & 0.489846237143983 \tabularnewline
0.36 & 69.5828846696731 & 0.474461499787343 \tabularnewline
0.37 & 69.6728710695122 & 0.448288844839527 \tabularnewline
0.38 & 69.756953161003 & 0.413892812374356 \tabularnewline
0.39 & 69.8338956567273 & 0.374333966068619 \tabularnewline
0.4 & 69.9030349167813 & 0.332655903566742 \tabularnewline
0.41 & 69.9642658514426 & 0.291711387274058 \tabularnewline
0.42 & 70.0179634127642 & 0.253973093033539 \tabularnewline
0.43 & 70.064859720881 & 0.2210021242698 \tabularnewline
0.44 & 70.1059020267672 & 0.193634608837743 \tabularnewline
0.45 & 70.1421152273381 & 0.17186793811092 \tabularnewline
0.46 & 70.1744870150583 & 0.155419854448314 \tabularnewline
0.47 & 70.2038860873387 & 0.143211155037202 \tabularnewline
0.48 & 70.2310162111656 & 0.134203623226275 \tabularnewline
0.49 & 70.2564028185633 & 0.127099303271835 \tabularnewline
0.5 & 70.2804049200296 & 0.121384798366092 \tabularnewline
0.51 & 70.3032434959449 & 0.116205441081447 \tabularnewline
0.52 & 70.3250377274877 & 0.111137728806791 \tabularnewline
0.53 & 70.345841830579 & 0.106131339131237 \tabularnewline
0.54 & 70.365677249098 & 0.100930534405646 \tabularnewline
0.55 & 70.3845570754582 & 0.0957131730440082 \tabularnewline
0.56 & 70.4025014937419 & 0.0906258642361317 \tabularnewline
0.57 & 70.4195446184802 & 0.0857587691903854 \tabularnewline
0.58 & 70.4357342575892 & 0.081231573883 \tabularnewline
0.59 & 70.4511268389325 & 0.0770100287000865 \tabularnewline
0.6 & 70.4657800153783 & 0.0730876379462208 \tabularnewline
0.61 & 70.4797453395125 & 0.0695392590610091 \tabularnewline
0.62 & 70.4930629438297 & 0.0660980074188056 \tabularnewline
0.63 & 70.5057594742622 & 0.0628166326200492 \tabularnewline
0.64 & 70.517849726531 & 0.0595169929274062 \tabularnewline
0.65 & 70.5293416545553 & 0.0561782869581105 \tabularnewline
0.66 & 70.5402437717664 & 0.0528492678753326 \tabularnewline
0.67 & 70.550573530091 & 0.0496205669387373 \tabularnewline
0.68 & 70.5603650755957 & 0.046558152183778 \tabularnewline
0.69 & 70.5696748443827 & 0.0437598569998534 \tabularnewline
0.7 & 70.5785837565051 & 0.0414191402402327 \tabularnewline
0.71 & 70.5871952697649 & 0.0396579034961183 \tabularnewline
0.72 & 70.595629263319 & 0.038479703356939 \tabularnewline
0.73 & 70.6040126284644 & 0.0379724251164334 \tabularnewline
0.74 & 70.6124685017223 & 0.0380847030147862 \tabularnewline
0.75 & 70.6211071193064 & 0.0386142822175169 \tabularnewline
0.76 & 70.6300219606051 & 0.0394538363056121 \tabularnewline
0.77 & 70.6392946617345 & 0.0405203350452712 \tabularnewline
0.78 & 70.6490105430893 & 0.0417151167275909 \tabularnewline
0.79 & 70.6592831579289 & 0.0430912907176406 \tabularnewline
0.8 & 70.6702813212125 & 0.045113781849057 \tabularnewline
0.81 & 70.6822469430364 & 0.0479847501005689 \tabularnewline
0.82 & 70.6954891308078 & 0.0521934780793764 \tabularnewline
0.83 & 70.7103424923937 & 0.0577689782663602 \tabularnewline
0.84 & 70.7270875946517 & 0.064381800856156 \tabularnewline
0.85 & 70.7458484489234 & 0.0711212075564816 \tabularnewline
0.86 & 70.7665004594588 & 0.0767500934801118 \tabularnewline
0.87 & 70.7886329113451 & 0.0799643717784826 \tabularnewline
0.88 & 70.8116024840968 & 0.0799153862350565 \tabularnewline
0.89 & 70.8346838917064 & 0.0764897626297025 \tabularnewline
0.9 & 70.8572778310098 & 0.0705172692247609 \tabularnewline
0.91 & 70.879094620587 & 0.0635590475419566 \tabularnewline
0.92 & 70.900218252941 & 0.0573414577007437 \tabularnewline
0.93 & 70.9209852009367 & 0.0529585954991666 \tabularnewline
0.94 & 70.9416823769394 & 0.0499699754592248 \tabularnewline
0.95 & 70.9621603165073 & 0.0466723905356623 \tabularnewline
0.96 & 70.981543743902 & 0.0409317601258828 \tabularnewline
0.97 & 70.9982656983969 & 0.031473192134961 \tabularnewline
0.98 & 71.0105956440408 & 0.0191092112866252 \tabularnewline
0.99 & 71.017596991108 & 0.00712609126355718 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9868&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]67.8799714356935[/C][C]0.0489549894064178[/C][/ROW]
[ROW][C]0.02[/C][C]67.9156321345232[/C][C]0.069944523765191[/C][/ROW]
[ROW][C]0.03[/C][C]67.9627920324827[/C][C]0.10297831679786[/C][/ROW]
[ROW][C]0.04[/C][C]68.018288736653[/C][C]0.127054167356065[/C][/ROW]
[ROW][C]0.05[/C][C]68.0774342098091[/C][C]0.134554021384974[/C][/ROW]
[ROW][C]0.06[/C][C]68.1349028488297[/C][C]0.128887491315888[/C][/ROW]
[ROW][C]0.07[/C][C]68.1869862194384[/C][C]0.117455040118502[/C][/ROW]
[ROW][C]0.08[/C][C]68.2324822315178[/C][C]0.106666009530272[/C][/ROW]
[ROW][C]0.09[/C][C]68.272109119195[/C][C]0.100046528463415[/C][/ROW]
[ROW][C]0.1[/C][C]68.307413722357[/C][C]0.097758609280932[/C][/ROW]
[ROW][C]0.11[/C][C]68.3398940287701[/C][C]0.0980404972395903[/C][/ROW]
[ROW][C]0.12[/C][C]68.3705661504326[/C][C]0.0987749723514432[/C][/ROW]
[ROW][C]0.13[/C][C]68.3999102972959[/C][C]0.098588422463079[/C][/ROW]
[ROW][C]0.14[/C][C]68.428031855436[/C][C]0.0969588093597646[/C][/ROW]
[ROW][C]0.15[/C][C]68.4548845269866[/C][C]0.0945121322661899[/C][/ROW]
[ROW][C]0.16[/C][C]68.4804571971616[/C][C]0.0918113834488097[/C][/ROW]
[ROW][C]0.17[/C][C]68.5048860143335[/C][C]0.0900084729735492[/C][/ROW]
[ROW][C]0.18[/C][C]68.5284966030077[/C][C]0.0899543253966643[/C][/ROW]
[ROW][C]0.19[/C][C]68.5518010036136[/C][C]0.0925393536059681[/C][/ROW]
[ROW][C]0.2[/C][C]68.5754740146291[/C][C]0.0985719562315203[/C][/ROW]
[ROW][C]0.21[/C][C]68.6003240906378[/C][C]0.108630867458224[/C][/ROW]
[ROW][C]0.22[/C][C]68.6272640009719[/C][C]0.123280062682060[/C][/ROW]
[ROW][C]0.23[/C][C]68.6572805005195[/C][C]0.142801492180966[/C][/ROW]
[ROW][C]0.24[/C][C]68.6914000635606[/C][C]0.167406518814984[/C][/ROW]
[ROW][C]0.25[/C][C]68.7306470704383[/C][C]0.197092021266475[/C][/ROW]
[ROW][C]0.26[/C][C]68.7759903208245[/C][C]0.231581526740674[/C][/ROW]
[ROW][C]0.27[/C][C]68.8282739003411[/C][C]0.270154238842756[/C][/ROW]
[ROW][C]0.28[/C][C]68.8881308805847[/C][C]0.311648125388175[/C][/ROW]
[ROW][C]0.29[/C][C]68.9558840967272[/C][C]0.354410461655278[/C][/ROW]
[ROW][C]0.3[/C][C]69.0314463940005[/C][C]0.395867271976748[/C][/ROW]
[ROW][C]0.31[/C][C]69.1142403411505[/C][C]0.433178894257647[/C][/ROW]
[ROW][C]0.32[/C][C]69.2031607730215[/C][C]0.463481587754842[/C][/ROW]
[ROW][C]0.33[/C][C]69.2965999612291[/C][C]0.48420501238124[/C][/ROW]
[ROW][C]0.34[/C][C]69.392544480714[/C][C]0.493334014323421[/C][/ROW]
[ROW][C]0.35[/C][C]69.4887374925791[/C][C]0.489846237143983[/C][/ROW]
[ROW][C]0.36[/C][C]69.5828846696731[/C][C]0.474461499787343[/C][/ROW]
[ROW][C]0.37[/C][C]69.6728710695122[/C][C]0.448288844839527[/C][/ROW]
[ROW][C]0.38[/C][C]69.756953161003[/C][C]0.413892812374356[/C][/ROW]
[ROW][C]0.39[/C][C]69.8338956567273[/C][C]0.374333966068619[/C][/ROW]
[ROW][C]0.4[/C][C]69.9030349167813[/C][C]0.332655903566742[/C][/ROW]
[ROW][C]0.41[/C][C]69.9642658514426[/C][C]0.291711387274058[/C][/ROW]
[ROW][C]0.42[/C][C]70.0179634127642[/C][C]0.253973093033539[/C][/ROW]
[ROW][C]0.43[/C][C]70.064859720881[/C][C]0.2210021242698[/C][/ROW]
[ROW][C]0.44[/C][C]70.1059020267672[/C][C]0.193634608837743[/C][/ROW]
[ROW][C]0.45[/C][C]70.1421152273381[/C][C]0.17186793811092[/C][/ROW]
[ROW][C]0.46[/C][C]70.1744870150583[/C][C]0.155419854448314[/C][/ROW]
[ROW][C]0.47[/C][C]70.2038860873387[/C][C]0.143211155037202[/C][/ROW]
[ROW][C]0.48[/C][C]70.2310162111656[/C][C]0.134203623226275[/C][/ROW]
[ROW][C]0.49[/C][C]70.2564028185633[/C][C]0.127099303271835[/C][/ROW]
[ROW][C]0.5[/C][C]70.2804049200296[/C][C]0.121384798366092[/C][/ROW]
[ROW][C]0.51[/C][C]70.3032434959449[/C][C]0.116205441081447[/C][/ROW]
[ROW][C]0.52[/C][C]70.3250377274877[/C][C]0.111137728806791[/C][/ROW]
[ROW][C]0.53[/C][C]70.345841830579[/C][C]0.106131339131237[/C][/ROW]
[ROW][C]0.54[/C][C]70.365677249098[/C][C]0.100930534405646[/C][/ROW]
[ROW][C]0.55[/C][C]70.3845570754582[/C][C]0.0957131730440082[/C][/ROW]
[ROW][C]0.56[/C][C]70.4025014937419[/C][C]0.0906258642361317[/C][/ROW]
[ROW][C]0.57[/C][C]70.4195446184802[/C][C]0.0857587691903854[/C][/ROW]
[ROW][C]0.58[/C][C]70.4357342575892[/C][C]0.081231573883[/C][/ROW]
[ROW][C]0.59[/C][C]70.4511268389325[/C][C]0.0770100287000865[/C][/ROW]
[ROW][C]0.6[/C][C]70.4657800153783[/C][C]0.0730876379462208[/C][/ROW]
[ROW][C]0.61[/C][C]70.4797453395125[/C][C]0.0695392590610091[/C][/ROW]
[ROW][C]0.62[/C][C]70.4930629438297[/C][C]0.0660980074188056[/C][/ROW]
[ROW][C]0.63[/C][C]70.5057594742622[/C][C]0.0628166326200492[/C][/ROW]
[ROW][C]0.64[/C][C]70.517849726531[/C][C]0.0595169929274062[/C][/ROW]
[ROW][C]0.65[/C][C]70.5293416545553[/C][C]0.0561782869581105[/C][/ROW]
[ROW][C]0.66[/C][C]70.5402437717664[/C][C]0.0528492678753326[/C][/ROW]
[ROW][C]0.67[/C][C]70.550573530091[/C][C]0.0496205669387373[/C][/ROW]
[ROW][C]0.68[/C][C]70.5603650755957[/C][C]0.046558152183778[/C][/ROW]
[ROW][C]0.69[/C][C]70.5696748443827[/C][C]0.0437598569998534[/C][/ROW]
[ROW][C]0.7[/C][C]70.5785837565051[/C][C]0.0414191402402327[/C][/ROW]
[ROW][C]0.71[/C][C]70.5871952697649[/C][C]0.0396579034961183[/C][/ROW]
[ROW][C]0.72[/C][C]70.595629263319[/C][C]0.038479703356939[/C][/ROW]
[ROW][C]0.73[/C][C]70.6040126284644[/C][C]0.0379724251164334[/C][/ROW]
[ROW][C]0.74[/C][C]70.6124685017223[/C][C]0.0380847030147862[/C][/ROW]
[ROW][C]0.75[/C][C]70.6211071193064[/C][C]0.0386142822175169[/C][/ROW]
[ROW][C]0.76[/C][C]70.6300219606051[/C][C]0.0394538363056121[/C][/ROW]
[ROW][C]0.77[/C][C]70.6392946617345[/C][C]0.0405203350452712[/C][/ROW]
[ROW][C]0.78[/C][C]70.6490105430893[/C][C]0.0417151167275909[/C][/ROW]
[ROW][C]0.79[/C][C]70.6592831579289[/C][C]0.0430912907176406[/C][/ROW]
[ROW][C]0.8[/C][C]70.6702813212125[/C][C]0.045113781849057[/C][/ROW]
[ROW][C]0.81[/C][C]70.6822469430364[/C][C]0.0479847501005689[/C][/ROW]
[ROW][C]0.82[/C][C]70.6954891308078[/C][C]0.0521934780793764[/C][/ROW]
[ROW][C]0.83[/C][C]70.7103424923937[/C][C]0.0577689782663602[/C][/ROW]
[ROW][C]0.84[/C][C]70.7270875946517[/C][C]0.064381800856156[/C][/ROW]
[ROW][C]0.85[/C][C]70.7458484489234[/C][C]0.0711212075564816[/C][/ROW]
[ROW][C]0.86[/C][C]70.7665004594588[/C][C]0.0767500934801118[/C][/ROW]
[ROW][C]0.87[/C][C]70.7886329113451[/C][C]0.0799643717784826[/C][/ROW]
[ROW][C]0.88[/C][C]70.8116024840968[/C][C]0.0799153862350565[/C][/ROW]
[ROW][C]0.89[/C][C]70.8346838917064[/C][C]0.0764897626297025[/C][/ROW]
[ROW][C]0.9[/C][C]70.8572778310098[/C][C]0.0705172692247609[/C][/ROW]
[ROW][C]0.91[/C][C]70.879094620587[/C][C]0.0635590475419566[/C][/ROW]
[ROW][C]0.92[/C][C]70.900218252941[/C][C]0.0573414577007437[/C][/ROW]
[ROW][C]0.93[/C][C]70.9209852009367[/C][C]0.0529585954991666[/C][/ROW]
[ROW][C]0.94[/C][C]70.9416823769394[/C][C]0.0499699754592248[/C][/ROW]
[ROW][C]0.95[/C][C]70.9621603165073[/C][C]0.0466723905356623[/C][/ROW]
[ROW][C]0.96[/C][C]70.981543743902[/C][C]0.0409317601258828[/C][/ROW]
[ROW][C]0.97[/C][C]70.9982656983969[/C][C]0.031473192134961[/C][/ROW]
[ROW][C]0.98[/C][C]71.0105956440408[/C][C]0.0191092112866252[/C][/ROW]
[ROW][C]0.99[/C][C]71.017596991108[/C][C]0.00712609126355718[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9868&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9868&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
0.0167.87997143569350.0489549894064178
0.0267.91563213452320.069944523765191
0.0367.96279203248270.10297831679786
0.0468.0182887366530.127054167356065
0.0568.07743420980910.134554021384974
0.0668.13490284882970.128887491315888
0.0768.18698621943840.117455040118502
0.0868.23248223151780.106666009530272
0.0968.2721091191950.100046528463415
0.168.3074137223570.097758609280932
0.1168.33989402877010.0980404972395903
0.1268.37056615043260.0987749723514432
0.1368.39991029729590.098588422463079
0.1468.4280318554360.0969588093597646
0.1568.45488452698660.0945121322661899
0.1668.48045719716160.0918113834488097
0.1768.50488601433350.0900084729735492
0.1868.52849660300770.0899543253966643
0.1968.55180100361360.0925393536059681
0.268.57547401462910.0985719562315203
0.2168.60032409063780.108630867458224
0.2268.62726400097190.123280062682060
0.2368.65728050051950.142801492180966
0.2468.69140006356060.167406518814984
0.2568.73064707043830.197092021266475
0.2668.77599032082450.231581526740674
0.2768.82827390034110.270154238842756
0.2868.88813088058470.311648125388175
0.2968.95588409672720.354410461655278
0.369.03144639400050.395867271976748
0.3169.11424034115050.433178894257647
0.3269.20316077302150.463481587754842
0.3369.29659996122910.48420501238124
0.3469.3925444807140.493334014323421
0.3569.48873749257910.489846237143983
0.3669.58288466967310.474461499787343
0.3769.67287106951220.448288844839527
0.3869.7569531610030.413892812374356
0.3969.83389565672730.374333966068619
0.469.90303491678130.332655903566742
0.4169.96426585144260.291711387274058
0.4270.01796341276420.253973093033539
0.4370.0648597208810.2210021242698
0.4470.10590202676720.193634608837743
0.4570.14211522733810.17186793811092
0.4670.17448701505830.155419854448314
0.4770.20388608733870.143211155037202
0.4870.23101621116560.134203623226275
0.4970.25640281856330.127099303271835
0.570.28040492002960.121384798366092
0.5170.30324349594490.116205441081447
0.5270.32503772748770.111137728806791
0.5370.3458418305790.106131339131237
0.5470.3656772490980.100930534405646
0.5570.38455707545820.0957131730440082
0.5670.40250149374190.0906258642361317
0.5770.41954461848020.0857587691903854
0.5870.43573425758920.081231573883
0.5970.45112683893250.0770100287000865
0.670.46578001537830.0730876379462208
0.6170.47974533951250.0695392590610091
0.6270.49306294382970.0660980074188056
0.6370.50575947426220.0628166326200492
0.6470.5178497265310.0595169929274062
0.6570.52934165455530.0561782869581105
0.6670.54024377176640.0528492678753326
0.6770.5505735300910.0496205669387373
0.6870.56036507559570.046558152183778
0.6970.56967484438270.0437598569998534
0.770.57858375650510.0414191402402327
0.7170.58719526976490.0396579034961183
0.7270.5956292633190.038479703356939
0.7370.60401262846440.0379724251164334
0.7470.61246850172230.0380847030147862
0.7570.62110711930640.0386142822175169
0.7670.63002196060510.0394538363056121
0.7770.63929466173450.0405203350452712
0.7870.64901054308930.0417151167275909
0.7970.65928315792890.0430912907176406
0.870.67028132121250.045113781849057
0.8170.68224694303640.0479847501005689
0.8270.69548913080780.0521934780793764
0.8370.71034249239370.0577689782663602
0.8470.72708759465170.064381800856156
0.8570.74584844892340.0711212075564816
0.8670.76650045945880.0767500934801118
0.8770.78863291134510.0799643717784826
0.8870.81160248409680.0799153862350565
0.8970.83468389170640.0764897626297025
0.970.85727783100980.0705172692247609
0.9170.8790946205870.0635590475419566
0.9270.9002182529410.0573414577007437
0.9370.92098520093670.0529585954991666
0.9470.94168237693940.0499699754592248
0.9570.96216031650730.0466723905356623
0.9670.9815437439020.0409317601258828
0.9770.99826569839690.031473192134961
0.9871.01059564404080.0191092112866252
0.9971.0175969911080.00712609126355718


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')