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Dynare
dseries
Commits
fcac767c
Verified
Commit
fcac767c
authored
5 years ago
by
Stéphane Adjemian
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Added computation of the geometric with nanmean method.
parent
cc10059c
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src/@dseries/nanmean.m
+61
-27
61 additions, 27 deletions
src/@dseries/nanmean.m
with
61 additions
and
27 deletions
src/@dseries/nanmean.m
+
61
−
27
View file @
fcac767c
function
m
=
nanmean
(
o
)
% --*-- Unitary tests --*--
function
m
=
nanmean
(
o
,
geometric
)
% --*-- Unitary tests --*--
% Returns the mean of the variables in a @dseries object o.
% Returns the mean of the variables in a @dseries object o (robust
% to the presence of NaNs).
%
% INPUTS
%
o
o dseries object [mandatory].
%
o
geometric logical [default is false], if true returns the geometric mean.
%
-
o dseries object [mandatory].
%
-
geometric logical [default is false], if true returns the geometric mean.
%
% OUTPUTS
%
o
m 1*vobs(o) vector of doubles.
%
-
m 1*vobs(o) vector of doubles.
% Copyright
(C)
2019 Dynare Team
% Copyright
©
2019
-2020
Dynare Team
%
% This file is part of Dynare.
%
...
...
@@ -26,26 +27,59 @@ function m = nanmean(o) % --*-- Unitary tests --*--
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
m
=
nanmean
(
o
.
data
);
if
nargin
<
2
geometric
=
false
;
end
if
geometric
m
=
NaN
(
1
,
o
.
vobs
());
for
i
=
1
:
o
.
vobs
()
tmp
=
o
.
data
(
~
isnan
(
o
.
data
(:,
i
)),
i
);
m
(
i
)
=
prod
(
tmp
)
^
(
1.0
/
length
(
tmp
));
end
else
m
=
nanmean
(
o
.
data
);
end
return
%@test:1
%$ % Define a dataset.
%$ A = repmat([1.005, 1.05], 10, 1);
%$ A(3,1) = NaN;
%$ A(5,2) = NaN;
%$
%$ % Instantiate a time series object and compute the mean.
%$ try
%$ ts = dseries(A);
%$ m = nanmean(ts);
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if t(1)
%$ t(2) = dassert(isequal(size(m),[1, 2]), true);
%$ t(3) = dassert(m, [1.005, 1.05]);
%$ end
%$ T = all(t);
%@eof:1
\ No newline at end of file
% Define a dataset.
A
=
repmat
([
1.005
,
1.05
],
10
,
1
);
A
(
3
,
1
)
=
NaN
;
A
(
5
,
2
)
=
NaN
;
% Instantiate a time series object and compute the mean.
try
ts
=
dseries
(
A
);
m
=
nanmean
(
ts
);
t
(
1
)
=
1
;
catch
t
=
0
;
end
if
t
(
1
)
t
(
2
)
=
dassert
(
isequal
(
size
(
m
),[
1
,
2
]),
true
);
t
(
3
)
=
dassert
(
m
,
[
1.005
,
1.05
]);
end
T
=
all
(
t
);
%@eof:1
%@test:2
% Define a dataset.
a
=
[
1
0
;
NaN
2
;
3
4
];
% Instantiate a time series object and compute the geometric mean.
try
ts
=
dseries
(
a
);
m
=
nanmean
(
ts
,
true
);
t
(
1
)
=
1
;
catch
t
=
0
;
end
if
t
(
1
)
t
(
2
)
=
dassert
(
isequal
(
size
(
m
),[
1
,
2
]),
true
);
t
(
3
)
=
dassert
(
m
,
[
sqrt
(
3
),
0
]);
end
T
=
all
(
t
);
%@eof:2
\ No newline at end of file
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Stéphane Adjemian
@stepan-a
mentioned in commit
21443b77
·
4 years ago
mentioned in commit
21443b77
mentioned in commit 21443b774c47c65617b5f8e1faa10397d47fed9e
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