📄 fernandez_d.m
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% PURPOSE: demo of fernandez()% Temporal disaggregation with indicators.
% Fernandez method%---------------------------------------------------% USAGE: fernandez_d
%---------------------------------------------------
close all; clear all; clc;
% Low-frequency data: Spain's Exports of Goods. 1995 prices
Y=[ 20499
23477
25058
27708
31584
31898
30233
32235
34049
36035
39795
44299
47426
52339
62949
69885
77174
90133
96496
102776
113026
115573 ];
% High-frequency data: Spain's Registered exports of goods deflated by
% unit value index.
x=[ 5162
5054
4049
5196
4972
5606
5844
6196
6526
5671
5631
6510
6575
6797
5973
6796
8404
8260
7058
7403
7934
7762
7087
8659
7471
8082
6700
8117
8271
8336
7698
8372
9120
8911
8035
8613
9725
9529
7774
9295
10357
10372
9056
10812
11989
11839
9686
11736
12878
12211
10278
12321
13267
12973
11268
15008
16565
15641
13684
17254
18613
17774
14966
18543
19287
19399
17299
21065
20687
23215
21382
24935
24256
25558
21680
24951
25284
26149
23344
27754
28271
29835
26148
30917
30494
30486
26153
29930
28627
29797 ];
% ---------------------------------------------
% Inputs for td library
% Type of aggregation
ta=1;
% Frequency conversion
s=4;
% Name of ASCII file for output
file_sal='td.sal';
% Calling the function: output is loaded in a structure called res
res=fernandez(Y,x,ta,s);
% Calling printing function
output=1; % Include series
td_print(res,file_sal,output);
edit td.sal;
% Calling graph function
td_plot(res);
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