Using Matlab c Using the command rlagaxcorrx to find the aut

Using Matlab:

c. Using the command [r,lag]=axcorr(x) to find the autocorrelation between consecutive reports of asthma cases.

d. Using the command [r,lag]=axcorr(x,y) to find the cross-correlation between the number of asthma cases and the number of upper respiratory infections given by the last two columns of the file included below.

Data given is a .xls file called \'athma\'

		Asthma, Principal (493)	Asthma, Any (493)	Respiratory minus asthma, Principal (460-519, exclude 493)	Respiratory minus asthma, Any (460-519, exclude 493)
1	1/1/2005	23	56	228	308
2	1/2/2005	35	61	207	292
3	1/3/2005	27	50	172	235
4	1/4/2005	26	50	128	191
5	1/5/2005	21	55	174	237
6	1/6/2005	15	47	134	201
7	1/7/2005	20	61	152	215
8	1/8/2005	36	60	182	269
9	1/9/2005	32	65	248	319
10	1/10/2005	36	65	167	217
11	1/11/2005	21	55	133	201
12	1/12/2005	22	51	144	197
13	1/13/2005	24	58	140	212
14	1/14/2005	34	52	131	210
15	1/15/2005	31	55	156	234
16	1/16/2005	29	82	178	273
17	1/17/2005	29	63	136	188
18	1/18/2005	30	67	136	194
19	1/19/2005	30	72	142	205
20	1/20/2005	33	75	142	211

num1 = xlsread(\'asthma.xls\');
[r1,lag1]=xcorr(num1(:,3));%autocorrelation of column 3
[r2,lag2]=xcorr(num1(:,4));%autocorrelation of column 4
[r3,lag3]=xcorr(num1(:,5));%autocorrelation of column 5
[r4,lag4]=xcorr(num1(:,6));%autocorrelation of column 6

%cross correlation of last two columns
[r5, lag5]=xcorr(num1(:,5),num1(:,6));

Using Matlab: c. Using the command [r,lag]=axcorr(x) to find the autocorrelation between consecutive reports of asthma cases. d. Using the command [r,lag]=axcor

Using Matlab c Using the command rlagaxcorrx to find the aut

Solution

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