subsref.m 6.66 KB
Newer Older
Stéphane Adjemian's avatar
Stéphane Adjemian committed
1
2
3
function us = subsref(ts, S)
%@info:
%! @deftypefn {Function File} {@var{us} =} subsref (@var{ts},S)
Stéphane Adjemian's avatar
Stéphane Adjemian committed
4
%! @anchor{@dynSeries/subsref}
Stéphane Adjemian's avatar
Stéphane Adjemian committed
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
%! @sp 1
%! Overloads the subsref method for the Dynare time series class (@ref{dynSeries}).
%! @sp 2
%! @strong{Inputs}
%! @sp 1
%! @table @ @var
%! @item ts
%! Dynare time series object instantiated by @ref{dynSeries}.
%! @item S
%! Matlab's structure array S with two fields, type and subs. The type field is string containing '()', '@{@}', or '.', where '()' specifies
%! integer subscripts, '@{@}' specifies cell array subscripts, and '.' specifies subscripted structure fields. The subs field is a cell array
%! or a string containing the actual subscripts (see matlab's documentation).
%! @end table
%! @sp 1
%! @strong{Outputs}
%! @sp 1
%! @table @ @var
%! @item us
%! Dynare time series object. Depending on the calling sequence @var{us} is a transformation of @var{ts} obtained by applying a public method on @var{ts},
%! or a dynSeries object built by extracting a variable from @var{ts}, or a dynSeries object containing a subsample of the all the variable in @var{ts}.
%! @end table
%! @sp 2
%! @strong{Example 1.} Let @var{ts} be a dynSeries object containing three variables named 'A1', 'A2' and 'A3'. Then the following syntax:
%! @example
%!   us = ts.A1;
%! @end example
%!will create a new dynSeries object @var{us} containing the variable 'A1'.
%! @sp 1
%! @strong{Example 2.} Let @var{ts} be a dynSeries object. Then the following syntax:
%! @example
%!   us = ts.log;
%! @end example
%!will create a new dynSeries object @var{us} containing all the variables of @var{ts} transformed by the neperian logarithm.
%! @sp 1
%! @strong{Example 3.} Let @var{ts} be a dynSeries object. The following syntax:
%! @example
%!   us = ts(3:50);
%! @end example
%!will create a new dynSeries object @var{us} by selecting a subsample out of @var{ts}.
%! @end deftypefn
%@eod:

Stéphane Adjemian's avatar
Stéphane Adjemian committed
47
% Copyright (C) 2011, 2012 Dynare Team
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.

% AUTHOR(S) stephane DOT adjemian AT univ DASH lemans DOT fr

66
if length(S)==1 && isequal(S.type,'.')
Stéphane Adjemian's avatar
Stéphane Adjemian committed
67
    switch S.subs
68
      case {'data','nobs','vobs','name','tex','freq','time','init'}        % Public members.
Stéphane Adjemian's avatar
Stéphane Adjemian committed
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
        us = builtin('subsref', ts, S);
      case {'log','exp'}                                                   % Give "dot access" to public methods.
        us = feval(S.subs,ts);
      otherwise                                                            % Extract a sub-object by selecting one variable.
        ndx = strmatch(S.subs,ts.name);
        if ~isempty(ndx)
            us = dynSeries();
            us.data = ts.data(:,ndx);
            us.name = deblank(ts.name(ndx,:));
            us.tex  = deblank(ts.tex(ndx,:));
            us.nobs = ts.nobs;
            us.vobs = 1;
            us.freq = ts.freq;
            us.init = ts.init;
            return
        else
            error('dynSeries::subsref: Unknown public method, public member or variable!')
86
87
        end
    end
Stéphane Adjemian's avatar
Stéphane Adjemian committed
88
89
    return
end
90

91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
if length(S)==1 && isequal(S.type,'()')
    if ischar(S.subs{1})
        us = dynSeries(S.subs{1});
    else
        % Extract a sub-object by selecting a sub-sample.
        if size(ts.data,2)>1
            S.subs = [S.subs, ':'];
        end
        us.data = builtin('subsref', ts.data, S);
        us.nobs = size(us.data,1);
        us.vobs = ts.vobs;
        us.freq = ts.freq;
        us.time = builtin('subsref', ts.time, S);
        us.init = ts.init+S.subs{1}(1);
        us.name = ts.name;
        us.tex  = ts.tex;
        return
108
    end
Stéphane Adjemian's avatar
Stéphane Adjemian committed
109
end
110

111
112
113
if (length(S)==2) && (isequal(S(1).subs,'init'))
    if isequal(S(2).type,'.') && ( isequal(S(2).subs,'freq') || isequal(S(2).subs,'time') )
        us = builtin('subsref', ts.init, S(2));
114
115
116
117
118
    else
        error('dynSeries:subsref:: I don''t understand what you are trying to do!')
    end
end

119
120
121
122
123
%@test:1
%$ % Define a data set.
%$ A = [transpose(1:10),2*transpose(1:10)];
%$
%$ % Define names
124
%$ A_name = {'A1';'A2'};
125
126
127
128
129
130
131
132
133
134
135
%$
%$ % Instantiate a time series object.
%$ ts1 = dynSeries(A,[],A_name,[]);
%$
%$ % Call the tested method.
%$ a = ts1(2:9);
%$
%$ % Expected results.
%$ e.data = [transpose(2:9),2*transpose(2:9)];
%$ e.nobs = 8;
%$ e.vobs = 2;
136
%$ e.name = {'A1';'A2'};
137
%$ e.freq = 1;
138
%$ e.init = dynDate(2);
139
140
141
%$
%$ % Check the results.
%$ t(1) = dyn_assert(a.data,e.data);
142
143
144
145
%$ t(2) = dyn_assert(a.nobs,e.nobs);
%$ t(3) = dyn_assert(a.vobs,e.vobs);
%$ t(4) = dyn_assert(a.freq,e.freq);
%$ t(5) = dyn_assert(a.init,e.init);
146
147
148
149
150
151
152
153
%$ T = all(t);
%@eof:1

%@test:2
%$ % Define a data set.
%$ A = [transpose(1:10),2*transpose(1:10)];
%$
%$ % Define names
154
%$ A_name = {'A1';'A2'};
155
156
157
158
159
160
161
162
163
164
165
%$
%$ % Instantiate a time series object.
%$ ts1 = dynSeries(A,[],A_name,[]);
%$
%$ % Call the tested method.
%$ a = ts1.A1;
%$
%$ % Expected results.
%$ e.data = transpose(1:10);
%$ e.nobs = 10;
%$ e.vobs = 1;
166
%$ e.name = {'A1'};
167
%$ e.freq = 1;
168
%$ e.init = dynDate(1);
169
170
171
%$
%$ % Check the results.
%$ t(1) = dyn_assert(a.data,e.data);
172
%$ t(2) = dyn_assert(a.init,e.init);
173
174
175
176
177
178
179
180
181
182
183
%$ t(3) = dyn_assert(a.nobs,e.nobs);
%$ t(4) = dyn_assert(a.vobs,e.vobs);
%$ t(5) = dyn_assert(a.freq,e.freq);
%$ T = all(t);
%@eof:2

%@test:3
%$ % Define a data set.
%$ A = [transpose(1:10),2*transpose(1:10)];
%$
%$ % Define names
184
%$ A_name = {'A1';'A2'};
185
186
187
188
189
190
191
192
193
194
195
%$
%$ % Instantiate a time series object.
%$ ts1 = dynSeries(A,[],A_name,[]);
%$
%$ % Call the tested method.
%$ a = ts1.log;
%$
%$ % Expected results.
%$ e.data = log(A);
%$ e.nobs = 10;
%$ e.vobs = 2;
196
%$ e.name = {'A1';'A2'};
197
%$ e.freq = 1;
198
%$ e.init = dynDate(1);
199
200
201
%$
%$ % Check the results.
%$ t(1) = dyn_assert(a.data,e.data);
202
203
204
205
%$ t(2) = dyn_assert(a.nobs,e.nobs);
%$ t(3) = dyn_assert(a.vobs,e.vobs);
%$ t(4) = dyn_assert(a.freq,e.freq);
%$ t(5) = dyn_assert(a.init,e.init);
206
207
%$ T = all(t);
%@eof:3
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230

%@test:4
%$ % Create an empty dynSeries object.
%$ dataset = dynSeries();
%$
%$ t = zeros(5,1);
%$
%$ try
%$    A = dataset('dynseries_test_data.csv');
%$    t(1) = 1;
%$ catch
%$    t = 0;
%$ end
%$
%$ % Check the results.
%$ if length(t)>1
%$     t(2) = dyn_assert(A.nobs,4);
%$     t(3) = dyn_assert(A.vobs,4);
%$     t(4) = dyn_assert(A.freq,4);
%$     t(5) = dyn_assert(A.init,dynDate('1990Q1'));
%$ end
%$ T = all(t);
%@eof:4