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Verkoop fortified wijn Australië

*Unverified author*

R Software Module: /rwasp_harrell_davis.wasp (opens new window with default values)

Title produced by software: Harrell-Davis Quantiles

Date of computation: Tue, 01 Mar 2011 10:37:53 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Mar/01/t1298975724pkmt02ck8cse669.htm/, Retrieved Tue, 01 Mar 2011 11:35:25 +0100

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

KDGP1W42

Dataseries X:

» Textbox « » Textfile « » CSV «

2585 3368 3210 3111 3756 4216 5225 4426 3932 3816 3661 3795 2285 2934 2985 3646 4198 4935 5618 5454 3624 2898 3802 3629 2369 2511 3079 3728 4151 4326 5054 5138 3310 3508 3790 3446 2127 2523 3017 3265 3822 4027 4420 5255 4009 3074 3465 3718 1954 2604 3626 2836 4042 3584 4225 4523 2892 2876 3420 3159 2101 2181 2724 2954 4092 3470 3990 4239 2855 2897 3433 3307 1914 2214 2320 2714 3633 3295 4377 4442 2774 2840 2828 3758 1610 1968 2248 3262 3164 2972 4041 3402 2898 2555 3056 3717 1755 2193 2198 2777 3076 3389 4231 3118 2524 2280 2862 3502 1558 1940 2226 2676 3145 3224 4117 3446 2482 2349 2986 3163 1651 1725 2622 2316 2976 3263 3951 2917 2380 2458 2883 2579 1330 1686 2457 2514 2834 2757 3425 3006 2369 2017 2507 3168 1545 1643 2112 2415 2862 2822 3260 2606 2264 2250 2545 2856 1208 1412 1964 2018 2329 2660 2923 2626 2132 1772 2526 2755 1154 1568 1965 etc...

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ www.wessa.org

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	1204.37364915907	84.6918478600722
0.02	1327.91822657461	127.637694691885
0.03	1449.13675166295	110.001549780876
0.04	1536.82335187835	87.515255814883
0.05	1601.50600665155	82.9833750114458
0.06	1658.84211154663	92.2248836502745
0.07	1717.07312309536	105.262347099747
0.08	1777.4911336357	114.100944382416
0.09	1837.39314594152	114.090505774787
0.1	1893.14544346107	106.472433234331
0.11	1942.83450639916	97.3507332003055
0.12	1987.1282883886	92.224795592396
0.13	2028.0625921577	91.6059581678964
0.14	2067.24039384123	92.1712309192196
0.15	2104.97559186102	90.7122810427478
0.16	2140.61989772284	86.2183294917387
0.17	2173.36484955765	79.600827087389
0.18	2202.82991788403	72.5356603528254
0.19	2229.22076305025	66.5817562727367
0.2	2253.18656633863	62.6600787799205
0.21	2275.57786663516	61.0611221782983
0.22	2297.23414761879	61.5550716552519
0.23	2318.84467054192	63.6158529528585
0.24	2340.87540538065	66.5718011589782
0.25	2363.53987674555	69.6839122411454
0.26	2386.80074483032	72.2105696125177
0.27	2410.40537477686	73.5534086222361
0.28	2433.96376372427	73.4206983244095
0.29	2457.06265582539	71.9425020022533
0.3	2479.38630785871	69.6173809507605
0.31	2500.80327643671	67.1985372582174
0.32	2521.39158120743	65.3762507572184
0.33	2541.40332312361	64.6353213864373
0.34	2561.19378774519	65.1668863259473
0.35	2581.14457812004	66.937262663755
0.36	2601.59768402017	69.7234881793582
0.37	2622.80221765778	73.1414944416384
0.38	2644.8706030628	76.6497006080371
0.39	2667.74708393561	79.6250397648768
0.4	2691.19916552317	81.4293494059635
0.41	2714.84258138562	81.6099332586463
0.42	2738.20104221187	79.9826573289651
0.43	2760.78947654757	76.6508166115918
0.44	2782.20119839362	72.0589957098991
0.45	2802.178861472	66.8087046057403
0.46	2820.65485330624	61.6217074424999
0.47	2837.75553188193	57.1760119086147
0.48	2853.77243597751	54.014807915327
0.49	2869.11041658266	52.4379471638788
0.5	2884.22633038396	52.5253034782748
0.51	2899.57179726845	54.1519866731296
0.52	2915.54964400076	57.0449876763584
0.53	2932.4872560489	60.8901222571745
0.54	2950.62350089279	65.3621378520262
0.55	2970.10215679588	70.123842628312
0.56	2990.96616986498	74.8158512548095
0.57	3013.1532796348	79.0602712906986
0.58	3036.50074359665	82.5042290895799
0.59	3060.76927549712	84.9268402543462
0.6	3085.6902906891	86.3159070336081
0.61	3111.02827128679	86.9035691244889
0.62	3136.63889678089	87.1252818054693
0.63	3162.50109365657	87.4528266784129
0.64	3188.70946361258	88.2554701685238
0.65	3215.42815349405	89.6652694060468
0.66	3242.82129390058	91.555760395962
0.67	3270.98457742062	93.5658144455859
0.68	3299.90620320503	95.2630556336025
0.69	3329.48061776633	96.3456755211567
0.7	3359.57980355645	96.8402660166148
0.71	3390.15404385188	97.1791053427453
0.72	3421.302752338	97.9969725586003
0.73	3453.25471794632	99.7166554550401
0.74	3486.24365475127	102.116086986502
0.75	3520.33918159656	104.332068899185
0.76	3555.34068161202	105.339237663577
0.77	3590.81669974796	104.53105070208
0.78	3626.28778809735	102.111958499833
0.79	3661.47135847804	99.0431287165947
0.8	3696.48688051366	96.7082409187563
0.81	3731.94451007316	96.5162296378283
0.82	3768.85848163811	99.3950365106645
0.83	3808.34207163657	105.127187848058
0.84	3851.13153424958	111.889553258249
0.85	3897.16989983471	116.940412662687
0.86	3945.57981353998	118.21546630436
0.87	3995.13344515331	115.733058712675
0.88	4044.88775528011	111.237127111021
0.89	4094.52348217071	106.492649742499
0.9	4144.40283334179	102.55835369874
0.91	4195.82035167643	101.130656981507
0.92	4251.67558233968	105.304797933553
0.93	4317.87938727723	119.317026542238
0.94	4406.76064831678	153.65265787431
0.95	4539.29298785205	220.034003639803
0.96	4730.86949342346	287.330760571828
0.97	4960.00811236554	279.219798380084
0.98	5181.42297195439	197.203804227051
0.99	5410.96626900659	166.85858015088

Charts produced by software:

http://www.freestatistics.org/blog/date/2011/Mar/01/t1298975724pkmt02ck8cse669/11gri1298975872.png (open in new window)

http://www.freestatistics.org/blog/date/2011/Mar/01/t1298975724pkmt02ck8cse669/11gri1298975872.ps (open in new window)

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')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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