Skip to content
GitLab
Projects
Groups
Snippets
Help
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
D
dseries
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Service Desk
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Operations
Operations
Incidents
Environments
Packages & Registries
Packages & Registries
Container Registry
Analytics
Analytics
CI / CD
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
Sébastien Villemot
dseries
Commits
c5ef3772
Verified
Commit
c5ef3772
authored
Dec 10, 2018
by
Stéphane Adjemian
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Cosmetic change (unit tests).
parent
5536706d
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
374 additions
and
372 deletions
+374
-372
src/@dseries/subsref.m
src/@dseries/subsref.m
+374
-372
No files found.
src/@dseries/subsref.m
View file @
c5ef3772
...
...
@@ -271,425 +271,427 @@ if ~isempty(S)
B
=
subsref
(
B
,
S
);
end
return
%
@test
:
1
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
%
$
%
Call
the
tested
method
.
%
$
a
=
ts1
(
ts1
.
dates
(
2
:
9
));
%
$
%
$
%
Expected
results
.
%
$
e
.
data
=
[
transpose
(
2
:
9
),
2
*
transpose
(
2
:
9
)];
%
$
e
.
nobs
=
8
;
%
$
e
.
vobs
=
2
;
%
$
e
.
name
=
{
'
A1
';'
A2
'
};
%
$
e
.
freq
=
1
;
%
$
e
.
init
=
dates
(
1
,
2
);
%
$
%
$
%
Check
the
results
.
%
$
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
%
$
t
(
2
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
%
$
t
(
3
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
%
$
t
(
4
)
=
dassert
(
a
.
freq
,
e
.
freq
);
%
$
t
(
5
)
=
dassert
(
a
.
init
,
e
.
init
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
Call
the
tested
method
.
a
=
ts1
(
ts1
.
dates
(
2
:
9
));
%
Expected
results
.
e
.
data
=
[
transpose
(
2
:
9
),
2
*
transpose
(
2
:
9
)];
e
.
nobs
=
8
;
e
.
vobs
=
2
;
e
.
name
=
{
'
A1
';'
A2
'
};
e
.
freq
=
1
;
e
.
init
=
dates
(
1
,
2
);
%
Check
the
results
.
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
t
(
2
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
t
(
3
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
t
(
4
)
=
dassert
(
a
.
freq
,
e
.
freq
);
t
(
5
)
=
dassert
(
a
.
init
,
e
.
init
);
T
=
all
(
t
);
%
@eof
:
1
%
@test
:
2
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
%
$
%
Call
the
tested
method
.
%
$
a
=
ts1
.
A1
;
%
$
%
$
%
Expected
results
.
%
$
e
.
data
=
transpose
(
1
:
10
);
%
$
e
.
nobs
=
10
;
%
$
e
.
vobs
=
1
;
%
$
e
.
name
=
{
'
A1
'
};
%
$
e
.
freq
=
1
;
%
$
e
.
init
=
dates
(
1
,
1
);
%
$
%
$
%
Check
the
results
.
%
$
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
%
$
t
(
2
)
=
dassert
(
a
.
init
,
e
.
init
);
%
$
t
(
3
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
%
$
t
(
4
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
%
$
t
(
5
)
=
dassert
(
a
.
freq
,
e
.
freq
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
Call
the
tested
method
.
a
=
ts1
.
A1
;
%
Expected
results
.
e
.
data
=
transpose
(
1
:
10
);
e
.
nobs
=
10
;
e
.
vobs
=
1
;
e
.
name
=
{
'
A1
'
};
e
.
freq
=
1
;
e
.
init
=
dates
(
1
,
1
);
%
Check
the
results
.
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
t
(
2
)
=
dassert
(
a
.
init
,
e
.
init
);
t
(
3
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
t
(
4
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
t
(
5
)
=
dassert
(
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
%
$
A_name
=
{
'
A1
';'
A2
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
%
$
%
Call
the
tested
method
.
%
$
a
=
ts1
.
log
;
%
$
%
$
%
Expected
results
.
%
$
e
.
data
=
log
(
A
);
%
$
e
.
nobs
=
10
;
%
$
e
.
vobs
=
2
;
%
$
e
.
name
=
{
'
A1
';'
A2
'
};
%
$
e
.
freq
=
1
;
%
$
e
.
init
=
dates
(
1
,
1
);
%
$
%
$
%
Check
the
results
.
%
$
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
%
$
t
(
2
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
%
$
t
(
3
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
%
$
t
(
4
)
=
dassert
(
a
.
freq
,
e
.
freq
);
%
$
t
(
5
)
=
dassert
(
a
.
init
,
e
.
init
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
Call
the
tested
method
.
a
=
ts1
.
log
;
%
Expected
results
.
e
.
data
=
log
(
A
);
e
.
nobs
=
10
;
e
.
vobs
=
2
;
e
.
name
=
{
'
A1
';'
A2
'
};
e
.
freq
=
1
;
e
.
init
=
dates
(
1
,
1
);
%
Check
the
results
.
t
(
1
)
=
dassert
(
a
.
data
,
e
.
data
);
t
(
2
)
=
dassert
(
a
.
nobs
,
e
.
nobs
);
t
(
3
)
=
dassert
(
a
.
vobs
,
e
.
vobs
);
t
(
4
)
=
dassert
(
a
.
freq
,
e
.
freq
);
t
(
5
)
=
dassert
(
a
.
init
,
e
.
init
);
T
=
all
(
t
);
%
@eof
:
3
%
@test
:
4
%
$
%
Create
an
empty
dseries
object
.
%
$
dataset
=
dseries
();
%
$
%
$
t
=
zeros
(
5
,
1
);
%
$
%
$
try
%
$
[
strfile
,
status
]
=
urlwrite
(
'
http
:
//www.dynare.org/Datasets/dseries/dynseries_test_data.csv','dynseries_test_data.csv');
%
$
if
~
status
%
$
error
()
%
$
end
%
$
A
=
dseries
(
'
dynseries_test_data
.
csv
'
);
%
$
delete
(
'
dynseries_test_data
.
csv
'
);
%
$
t
(
1
)
=
1
;
%
$
catch
%
$
t
=
0
;
%
$
end
%
$
%
$
%
Check
the
results
.
%
$
if
length
(
t
)
>
1
%
$
t
(
2
)
=
dassert
(
A
.
nobs
,
4
);
%
$
t
(
3
)
=
dassert
(
A
.
vobs
,
4
);
%
$
t
(
4
)
=
dassert
(
A
.
freq
,
4
);
%
$
t
(
5
)
=
dassert
(
A
.
init
,
dates
(
'
1990
Q1
'
));
%
$
end
%
$
T
=
all
(
t
);
%
Create
an
empty
dseries
object
.
dataset
=
dseries
();
t
=
zeros
(
5
,
1
);
try
[
strfile
,
status
]
=
urlwrite
(
'
http
:
//www.dynare.org/Datasets/dseries/dynseries_test_data.csv','dynseries_test_data.csv');
if
~
status
error
()
end
A
=
dseries
(
'
dynseries_test_data
.
csv
'
);
delete
(
'
dynseries_test_data
.
csv
'
);
t
(
1
)
=
1
;
catch
t
=
0
;
end
%
Check
the
results
.
if
length
(
t
)
>
1
t
(
2
)
=
dassert
(
A
.
nobs
,
4
);
t
(
3
)
=
dassert
(
A
.
vobs
,
4
);
t
(
4
)
=
dassert
(
A
.
freq
,
4
);
t
(
5
)
=
dassert
(
A
.
init
,
dates
(
'
1990
Q1
'
));
end
T
=
all
(
t
);
%
@eof
:
4
%
@test
:
5
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
),
3
*
transpose
(
1
:
10
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
%
$
%
Call
the
tested
method
.
%
$
a
=
ts1
{
'
A1
','
B1
'
};
%
$
%
$
%
Expected
results
.
%
$
e
.
data
=
A
(
:
,[
1
,
3
]);
%
$
e
.
nobs
=
10
;
%
$
e
.
vobs
=
2
;
%
$
e
.
name
=
{
'
A1
';'
B1
'
};
%
$
e
.
freq
=
1
;
%
$
e
.
init
=
dates
(
1
,
1
);
%
$
%
$
t
(
1
)
=
dassert
(
e
.
data
,
a
.
data
);
%
$
t
(
2
)
=
dassert
(
e
.
nobs
,
a
.
nobs
);
%
$
t
(
3
)
=
dassert
(
e
.
vobs
,
a
.
vobs
);
%
$
t
(
4
)
=
dassert
(
e
.
name
,
a
.
name
);
%
$
t
(
5
)
=
dassert
(
e
.
init
,
a
.
init
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
),
3
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
Call
the
tested
method
.
a
=
ts1
{
'
A1
','
B1
'
};
%
Expected
results
.
e
.
data
=
A
(
:
,[
1
,
3
]);
e
.
nobs
=
10
;
e
.
vobs
=
2
;
e
.
name
=
{
'
A1
';'
B1
'
};
e
.
freq
=
1
;
e
.
init
=
dates
(
1
,
1
);
t
(
1
)
=
dassert
(
e
.
data
,
a
.
data
);
t
(
2
)
=
dassert
(
e
.
nobs
,
a
.
nobs
);
t
(
3
)
=
dassert
(
e
.
vobs
,
a
.
vobs
);
t
(
4
)
=
dassert
(
e
.
name
,
a
.
name
);
t
(
5
)
=
dassert
(
e
.
init
,
a
.
init
);
T
=
all
(
t
);
%
@eof
:
5
%
@test
:
6
%
$
%
Define
a
data
set
.
%
$
A
=
rand
(
10
,
24
);
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
GDP_1
';'
GDP_2
';'
GDP_3
'
;
'
GDP_4
'
;
'
GDP_5
'
;
'
GDP_6
'
;
'
GDP_7
'
;
'
GDP_8
'
;
'
GDP_9
'
;
'
GDP_10
'
;
'
GDP_11
'
;
'
GDP_12
'
;
'
HICP_1
';'
HICP_2
';'
HICP_3
'
;
'
HICP_4
'
;
'
HICP_5
'
;
'
HICP_6
'
;
'
HICP_7
'
;
'
HICP_8
'
;
'
HICP_9
'
;
'
HICP_10
'
;
'
HICP_11
'
;
'
HICP_12
'
;};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
%
$
%
Call
the
tested
method
.
%
$
try
%
$
a
=
ts1
{
'
[
GDP_
[
0
-
9
]]
'
};
%
$
t
(
1
)
=
1
;
%
$
catch
%
$
t
(
1
)
=
0
;
%
$
end
%
$
try
%
$
b
=
ts1
{
'
[[
A
-
Z
]
*
_1
]
'
};
%
$
t
(
2
)
=
1
;
%
$
catch
%
$
t
(
2
)
=
0
;
%
$
end
%
$
try
%
$
warning
off
all
%
$
c
=
ts1
{
'
[
A
-
Z
]
_1
'
};
%
$
warning
on
all
%
$
t
(
3
)
=
0
;
%
$
catch
%
$
t
(
3
)
=
1
;
%
$
end
%
$
%
$
%
Expected
results
.
%
$
e1
.
data
=
A
(
:
,
1
:
9
);
%
$
e1
.
nobs
=
10
;
%
$
e1
.
vobs
=
9
;
%
$
e1
.
name
=
{
'
GDP_1
';'
GDP_2
';'
GDP_3
'
;
'
GDP_4
'
;
'
GDP_5
'
;
'
GDP_6
'
;
'
GDP_7
'
;
'
GDP_8
'
;
'
GDP_9
'
};
%
$
e1
.
freq
=
1
;
%
$
e1
.
init
=
dates
(
1
,
1
);
%
$
e2
.
data
=
A
(
:
,[
1
13
]);
%
$
e2
.
nobs
=
10
;
%
$
e2
.
vobs
=
2
;
%
$
e2
.
name
=
{
'
GDP_1
';'
HICP_1
'
};
%
$
e2
.
freq
=
1
;
%
$
e2
.
init
=
dates
(
1
,
1
);
%
$
%
$
%
Check
results
.
%
$
t
(
4
)
=
dassert
(
e1
.
data
,
a
.
data
);
%
$
t
(
5
)
=
dassert
(
e1
.
nobs
,
a
.
nobs
);
%
$
t
(
6
)
=
dassert
(
e1
.
vobs
,
a
.
vobs
);
%
$
t
(
7
)
=
dassert
(
e1
.
name
,
a
.
name
);
%
$
t
(
8
)
=
dassert
(
e1
.
init
,
a
.
init
);
%
$
t
(
9
)
=
dassert
(
e2
.
data
,
b
.
data
);
%
$
t
(
10
)
=
dassert
(
e2
.
nobs
,
b
.
nobs
);
%
$
t
(
11
)
=
dassert
(
e2
.
vobs
,
b
.
vobs
);
%
$
t
(
12
)
=
dassert
(
e2
.
name
,
b
.
name
);
%
$
t
(
13
)
=
dassert
(
e2
.
init
,
b
.
init
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
rand
(
10
,
24
);
%
Define
names
A_name
=
{
'
GDP_1
';'
GDP_2
';'
GDP_3
'
;
'
GDP_4
'
;
'
GDP_5
'
;
'
GDP_6
'
;
'
GDP_7
'
;
'
GDP_8
'
;
'
GDP_9
'
;
'
GDP_10
'
;
'
GDP_11
'
;
'
GDP_12
'
;
'
HICP_1
';'
HICP_2
';'
HICP_3
'
;
'
HICP_4
'
;
'
HICP_5
'
;
'
HICP_6
'
;
'
HICP_7
'
;
'
HICP_8
'
;
'
HICP_9
'
;
'
HICP_10
'
;
'
HICP_11
'
;
'
HICP_12
'
;};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
Call
the
tested
method
.
try
a
=
ts1
{
'
[
GDP_
[
0
-
9
]]
'
};
t
(
1
)
=
1
;
catch
t
(
1
)
=
0
;
end
try
b
=
ts1
{
'
[[
A
-
Z
]
*
_1
]
'
};
t
(
2
)
=
1
;
catch
t
(
2
)
=
0
;
end
try
warning
off
all
c
=
ts1
{
'
[
A
-
Z
]
_1
'
};
warning
on
all
t
(
3
)
=
0
;
catch
t
(
3
)
=
1
;
end
%
Expected
results
.
e1
.
data
=
A
(
:
,
1
:
9
);
e1
.
nobs
=
10
;
e1
.
vobs
=
9
;
e1
.
name
=
{
'
GDP_1
';'
GDP_2
';'
GDP_3
'
;
'
GDP_4
'
;
'
GDP_5
'
;
'
GDP_6
'
;
'
GDP_7
'
;
'
GDP_8
'
;
'
GDP_9
'
};
e1
.
freq
=
1
;
e1
.
init
=
dates
(
1
,
1
);
e2
.
data
=
A
(
:
,[
1
13
]);
e2
.
nobs
=
10
;
e2
.
vobs
=
2
;
e2
.
name
=
{
'
GDP_1
';'
HICP_1
'
};
e2
.
freq
=
1
;
e2
.
init
=
dates
(
1
,
1
);
%
Check
results
.
t
(
4
)
=
dassert
(
e1
.
data
,
a
.
data
);
t
(
5
)
=
dassert
(
e1
.
nobs
,
a
.
nobs
);
t
(
6
)
=
dassert
(
e1
.
vobs
,
a
.
vobs
);
t
(
7
)
=
dassert
(
e1
.
name
,
a
.
name
);
t
(
8
)
=
dassert
(
e1
.
init
,
a
.
init
);
t
(
9
)
=
dassert
(
e2
.
data
,
b
.
data
);
t
(
10
)
=
dassert
(
e2
.
nobs
,
b
.
nobs
);
t
(
11
)
=
dassert
(
e2
.
vobs
,
b
.
vobs
);
t
(
12
)
=
dassert
(
e2
.
name
,
b
.
name
);
t
(
13
)
=
dassert
(
e2
.
init
,
b
.
init
);
T
=
all
(
t
);
%
@eof
:
6
%
@test
:
7
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
try
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
ts1
.
save
(
'
ts1
'
);
%
$
t
=
1
;
%
$
catch
%
$
t
=
0
;
%
$
end
%
$
%
$
delete
(
'
ts1
.
mat
'
);
%
$
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
'
};
%
Instantiate
a
time
series
object
.
try
ts1
=
dseries
(
A
,[],
A_name
,[]);
ts1
.
save
(
'
ts1
'
);
t
=
1
;
catch
t
=
0
;
end
delete
(
'
ts1
.
mat
'
);
T
=
all
(
t
);
%
@eof
:
7
%
@test
:
8
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
try
%
$
ts1
=
dseries
(
A
,[],
A_name
,[]);
%
$
ts1
.
save
(
'
test_generated_data_file
','
m
'
);
%
$
delete
(
'
test_generated_data_file
.
m
'
);
%
$
t
=
1
;
%
$
catch
%
$
t
=
0
;
%
$
end
%
$
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
10
),
2
*
transpose
(
1
:
10
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
'
};
%
Instantiate
a
time
series
object
.
try
ts1
=
dseries
(
A
,[],
A_name
,[]);
ts1
.
save
(
'
test_generated_data_file
','
m
'
);
delete
(
'
test_generated_data_file
.
m
'
);
t
=
1
;
catch
t
=
0
;
end
T
=
all
(
t
);
%
@eof
:
8
%
@test
:
9
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
60
),
2
*
transpose
(
1
:
60
),
3
*
transpose
(
1
:
60
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,
'
1971
Q1
'
,
A_name
,[]);
%
$
%
$
%
Define
the
range
of
a
subsample
.
%
$
range
=
dates
(
'
1971
Q2
'
)
:
dates
(
'
1971
Q4
'
);
%
$
%
Call
the
tested
method
.
%
$
a
=
ts1
(
range
);
%
$
%
$
%
Expected
results
.
%
$
e
.
data
=
A
(
2
:
4
,
:
);
%
$
e
.
nobs
=
3
;
%
$
e
.
vobs
=
3
;
%
$
e
.
name
=
{
'
A1
';'
A2
';'
B1
'
};
%
$
e
.
freq
=
4
;
%
$
e
.
init
=
dates
(
'
1971
Q2
'
);
%
$
%
$
t
(
1
)
=
dassert
(
e
.
data
,
a
.
data
);
%
$
t
(
2
)
=
dassert
(
e
.
nobs
,
a
.
nobs
);
%
$
t
(
3
)
=
dassert
(
e
.
vobs
,
a
.
vobs
);
%
$
t
(
4
)
=
dassert
(
e
.
name
,
a
.
name
);
%
$
t
(
5
)
=
dassert
(
e
.
init
,
a
.
init
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
60
),
2
*
transpose
(
1
:
60
),
3
*
transpose
(
1
:
60
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,
'
1971
Q1
'
,
A_name
,[]);
%
Define
the
range
of
a
subsample
.
range
=
dates
(
'
1971
Q2
'
)
:
dates
(
'
1971
Q4
'
);
%
Call
the
tested
method
.
a
=
ts1
(
range
);
%
Expected
results
.
e
.
data
=
A
(
2
:
4
,
:
);
e
.
nobs
=
3
;
e
.
vobs
=
3
;
e
.
name
=
{
'
A1
';'
A2
';'
B1
'
};
e
.
freq
=
4
;
e
.
init
=
dates
(
'
1971
Q2
'
);
t
(
1
)
=
dassert
(
e
.
data
,
a
.
data
);
t
(
2
)
=
dassert
(
e
.
nobs
,
a
.
nobs
);
t
(
3
)
=
dassert
(
e
.
vobs
,
a
.
vobs
);
t
(
4
)
=
dassert
(
e
.
name
,
a
.
name
);
t
(
5
)
=
dassert
(
e
.
init
,
a
.
init
);
T
=
all
(
t
);
%
@eof
:
9
%
@test
:
10
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
60
),
2
*
transpose
(
1
:
60
),
3
*
transpose
(
1
:
60
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,
'
1971
Q1
'
,
A_name
,[]);
%
$
%
$
%
Test
the
size
method
.
%
$
B
=
ts1
.
size
();
%
$
C
=
ts1
.
size
(
1
);
%
$
D
=
ts1
.
size
(
2
);
%
$
E
=
ts1
.
size
;
%
$
%
$
t
(
1
)
=
dassert
(
B
,[
60
,
3
]);
%
$
t
(
2
)
=
dassert
(
E
,[
60
,
3
]);
%
$
t
(
3
)
=
dassert
(
C
,
60
);
%
$
t
(
4
)
=
dassert
(
D
,
3
);
%
$
T
=
all
(
t
);
%
Define
a
data
set
.
A
=
[
transpose
(
1
:
60
),
2
*
transpose
(
1
:
60
),
3
*
transpose
(
1
:
60
)];
%
Define
names
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
Instantiate
a
time
series
object
.
ts1
=
dseries
(
A
,
'
1971
Q1
'
,
A_name
,[]);
%
Test
the
size
method
.
B
=
ts1
.
size
();
C
=
ts1
.
size
(
1
);
D
=
ts1
.
size
(
2
);
E
=
ts1
.
size
;
t
(
1
)
=
dassert
(
B
,[
60
,
3
]);
t
(
2
)
=
dassert
(
E
,[
60
,
3
]);
t
(
3
)
=
dassert
(
C
,
60
);
t
(
4
)
=
dassert
(
D
,
3
);
T
=
all
(
t
);
%
@eof
:
10
%
@test
:
11
%
$
%
Define
a
data
set
.
%
$
A
=
[
transpose
(
1
:
60
),
2
*
transpose
(
1
:
60
),
3
*
transpose
(
1
:
60
)];
%
$
%
$
%
Define
names
%
$
A_name
=
{
'
A1
';'
A2
';'
B1
'
};
%
$
%
$
%
Instantiate
a
time
series
object
.
%
$
ts1
=
dseries
(
A
,
'
1971
Q1
'
,
A_name
,[]);
%
$
%
$
%
Test
the
size
method
.
%
$
B
=
ts1
{
1
};
%
$
C
=
ts1
{[
1
,
3
]};
%
$
D
=
ts1
{
'
A1
'
};
%
$