diff --git a/src/@dseries/align.m b/src/@dseries/align.m
index 37eece439fc21b9e1e45bc22f9a89eebd1da5814..e6dd75cd1a9fcc45014edee58d80dbae509b77a2 100644
--- a/src/@dseries/align.m
+++ b/src/@dseries/align.m
@@ -1,5 +1,5 @@
function [a,b] = align(a, b) % --*-- Unitary tests --*--
-
+
%@info:
%! @deftypefn {Function File} {[@var{a}, @var{b}] =} align (@var{a}, @var{b})
%! @anchor{dseries/align}
diff --git a/src/@dseries/baxter_king_filter.m b/src/@dseries/baxter_king_filter.m
index 4232b5e51f95517b5de173441924be202cc6eb6a..e36cf28d3cf0554457e53dde239939af6e98bf04 100644
--- a/src/@dseries/baxter_king_filter.m
+++ b/src/@dseries/baxter_king_filter.m
@@ -3,20 +3,20 @@ function ts = baxter_king_filter(ts, high_frequency, low_frequency, K) % --*-- U
% ts = baxter_king_filter(ts, high_frequency, low_frequency, K)
%
% Implementation of Baxter and King (1999) band pass filter for dseries objects. The code is adapted from
-% the one provided by Baxter and King. This filter isolates business cycle fluctuations with a period of length
+% the one provided by Baxter and King. This filter isolates business cycle fluctuations with a period of length
% ranging between high_frequency to low_frequency (quarters).
%
-% INPUTS
+% INPUTS
% o ts dseries object.
% o high_frequency positive scalar, period length (default value is 6).
% o low_frequency positive scalar, period length (default value is 32).
% o K positive scalar integer, truncation parameter (default value is 12).
%
-% OUTPUTS
+% OUTPUTS
% o ts dseries object.
%
-% REMARKS
-% This filter use a (symmetric) moving average smoother, so that K observations at the beginning and at the end of the
+% REMARKS
+% This filter use a (symmetric) moving average smoother, so that K observations at the beginning and at the end of the
% sample are lost in the computation of the filter.
% Copyright (C) 2013-2015 Dynare Team
@@ -57,7 +57,7 @@ if nargin<4 || isempty(K)
end
end
end
-
+
% translate periods into frequencies.
hf=2.0*pi/high_frequency;
lf=2.0*pi/low_frequency;
@@ -88,7 +88,7 @@ tmp = zeros(size(ts.data));
% Filtering step.
for t = K+1:nobs(ts)-K
- tmp(t,:) = weights'*ts.data(t-K:t+K,:);
+ tmp(t,:) = weights'*ts.data(t-K:t+K,:);
end
% Update dseries object.
@@ -102,7 +102,7 @@ ts.dates = init:init+(nobs(ts)-1);
%$ % Create a dataset.
%$ e = .2*randn(200,1);
%$ u = randn(200,1);
-%$ stochastic_trend = cumsum(e);
+%$ stochastic_trend = cumsum(e);
%$ deterministic_trend = .1*transpose(1:200);
%$ x = zeros(200,1);
%$ for i=2:200
diff --git a/src/@dseries/center.m b/src/@dseries/center.m
index 7548683eefd0f197ffb94acd952a85a1f0daba5e..bbb75a2132d37cf10ee6815646687acdcbc70fdd 100644
--- a/src/@dseries/center.m
+++ b/src/@dseries/center.m
@@ -31,7 +31,7 @@ if nargin<2
end
if geometric
- o = o/mean(o, true);
+ o = o/mean(o, true);
else
o = o-mean(o, false);
end
diff --git a/src/@dseries/cumprod.m b/src/@dseries/cumprod.m
index 034d591148173cd0bb924cea7a3e6a6f7c9e83b4..0b8a995d69c4742ee23859db3222f564e7a03ffe 100644
--- a/src/@dseries/cumprod.m
+++ b/src/@dseries/cumprod.m
@@ -49,23 +49,23 @@ end
switch nargin
case 1
- % Initialize the output.
- B = varargin{1};
- % Perform the cumulated sum
- if isequal(idx, 1)
- B.data = cumprod(B.data);
- else
- if common_first_period_witout_nan
- B.data(idx:end,:) = cumprod(B.data(idx:end,:));
- else
- B.data = cumprodnan(B.data);
- end
- end
- % Change the name of the variables
- for i=1:vobs(B)
- B.name(i) = {['cumprod(' B.name{i} ')']};
- B.tex(i) = {['\prod_t ' B.tex{i}]};
- end
+ % Initialize the output.
+ B = varargin{1};
+ % Perform the cumulated sum
+ if isequal(idx, 1)
+ B.data = cumprod(B.data);
+ else
+ if common_first_period_witout_nan
+ B.data(idx:end,:) = cumprod(B.data(idx:end,:));
+ else
+ B.data = cumprodnan(B.data);
+ end
+ end
+ % Change the name of the variables
+ for i=1:vobs(B)
+ B.name(i) = {['cumprod(' B.name{i} ')']};
+ B.tex(i) = {['\prod_t ' B.tex{i}]};
+ end
case 2
if isdseries(varargin{2})
if ~isequal(vobs(varargin{1}), vobs(varargin{2}))
diff --git a/src/@dseries/cumsum.m b/src/@dseries/cumsum.m
index 3655c824f2ccde649b31928f5d3a49df3770edbc..ba01fab790bb134b8a6e9c186d6c54117deea089 100644
--- a/src/@dseries/cumsum.m
+++ b/src/@dseries/cumsum.m
@@ -2,12 +2,12 @@ function B = cumsum(varargin) % --*-- Unitary tests --*--
% Overloads matlab's cumsum function for dseries objects.
%
-% INPUTS
+% INPUTS
% o A dseries object [mandatory].
% o d dates object [optional]
% o v dseries object with one observation [optional]
%
-% OUTPUTS
+% OUTPUTS
% o B dseries object.
% Copyright (C) 2013-2016 Dynare Team
@@ -48,24 +48,24 @@ else
end
switch nargin
- case 1
- % Initialize the output.
- B = varargin{1};
- % Perform the cumulated sum
- if isequal(idx, 1)
- B.data = cumsum(B.data);
- else
- if common_first_period_witout_nan
- B.data(idx:end,:) = cumsum(B.data(idx:end,:));
- else
- B.data = cumsumnan(B.data);
- end
- end
- % Change the name of the variables
- for i=1:vobs(B)
- B.name(i) = {['cumsum(' B.name{i} ')']};
- B.tex(i) = {['\sum_t ' B.tex{i}]};
- end
+ case 1
+ % Initialize the output.
+ B = varargin{1};
+ % Perform the cumulated sum
+ if isequal(idx, 1)
+ B.data = cumsum(B.data);
+ else
+ if common_first_period_witout_nan
+ B.data(idx:end,:) = cumsum(B.data(idx:end,:));
+ else
+ B.data = cumsumnan(B.data);
+ end
+ end
+ % Change the name of the variables
+ for i=1:vobs(B)
+ B.name(i) = {['cumsum(' B.name{i} ')']};
+ B.tex(i) = {['\sum_t ' B.tex{i}]};
+ end
case 2
if isdseries(varargin{2})
if ~isequal(vobs(varargin{1}), vobs(varargin{2}))
diff --git a/src/@dseries/eq.m b/src/@dseries/eq.m
index e60d45e642d7e083d59e6599010348e6b981461a..83c8a0bc6a0d6f266e65fe82226a224c828c5ab1 100644
--- a/src/@dseries/eq.m
+++ b/src/@dseries/eq.m
@@ -2,15 +2,15 @@ function C = eq(A,B) % --*-- Unitary tests --*--
% Overloads eq (==) operator.
%
-% INPUTS
+% INPUTS
% o A dseries object (T periods, N variables).
% o B dseries object (T periods, N variables).
%
-% OUTPUTS
-% o C T*N matrix of zeros and ones. Element C(t,n) is nonzero iff observation t of variable n in A and B are equal.
+% OUTPUTS
+% o C T*N matrix of zeros and ones. Element C(t,n) is nonzero iff observation t of variable n in A and B are equal.
%
-% REMARKS
-% If the number of variables, the number of observations or the frequencies are different in A and B, the function returns a zero scalar.
+% REMARKS
+% If the number of variables, the number of observations or the frequencies are different in A and B, the function returns a zero scalar.
% Copyright (C) 2013 Dynare Team
%
diff --git a/src/@dseries/exist.m b/src/@dseries/exist.m
index e4d5e387f0b9b925fbb8dc402cc6da8f38c48d70..3575af03996edbfc07938997d073dd09e70e6d31 100644
--- a/src/@dseries/exist.m
+++ b/src/@dseries/exist.m
@@ -2,12 +2,12 @@ function l = exist(o, varname) % --*-- Unitary tests --*--
% Tests if a variable exists in dseries object o.
%
-% INPUTS
+% INPUTS
% - o [dseries], dseries object.
% - varname [string], name of a variable.
%
-% OUTPUTS
-% - l [logical], equal to 1 (true) iff varname is a variable in dseries object o.
+% OUTPUTS
+% - l [logical], equal to 1 (true) iff varname is a variable in dseries object o.
% Copyright (C) 2014 Dynare Team
%
diff --git a/src/@dseries/extract.m b/src/@dseries/extract.m
index f50899a1ff3f7a701c30e26f67b8710552192722..0900ec69bab2cce006bfccc7e2584f4e4e26be77 100644
--- a/src/@dseries/extract.m
+++ b/src/@dseries/extract.m
@@ -1,7 +1,7 @@
function A = extract(B,varargin) % --*-- Unitary tests --*--
% Extract some variables from a database.
-
+
% Copyright (C) 2012-2016 Dynare Team
%
% This file is part of Dynare.
@@ -67,8 +67,8 @@ A.data = B.data(:,idVariableName);
A.dates = B.dates;
A.name = B.name(idVariableName);
A.tex = B.tex(idVariableName);
-
-
+
+
%@test:1
%$ % Define a data set.
%$ A = rand(10,24);
diff --git a/src/@dseries/firstobservedperiod.m b/src/@dseries/firstobservedperiod.m
index 92c1b239056f40aee80e660fc1b9e6a5e4545602..5ef31bfcf5b9ebebac592354b32537d821439475 100644
--- a/src/@dseries/firstobservedperiod.m
+++ b/src/@dseries/firstobservedperiod.m
@@ -2,10 +2,10 @@ function d = firstobservedperiod(o) % --*-- Unitary tests --*--
% Returns the first period where all the variables are observed (first period without NaNs).
%
-% INPUTS
+% INPUTS
% - o [dseries] with N variables and T periods.
%
-% OUTPUTS
+% OUTPUTS
% - b [dates] First period where the N variables are observed (without NaNs).
% Copyright (C) 2016-2017 Dynare Team
diff --git a/src/@dseries/horzcat.m b/src/@dseries/horzcat.m
index b6af0b02112af89a0b516fc5e41a637e830a2d38..a93d5ee76dabdc753038d30cbae57d34f7864724 100644
--- a/src/@dseries/horzcat.m
+++ b/src/@dseries/horzcat.m
@@ -2,24 +2,24 @@ function B = horzcat(varargin) % --*-- Unitary tests --*--
% Overloads horzcat method for dseries objects.
%
-% INPUTS
+% INPUTS
% o A1 dseries object.
% o A2 dseries object.
% o ...
%
-% OUTPUTS
+% OUTPUTS
% o B dseries object.
%
-% EXAMPLE 1
+% EXAMPLE 1
% If A, B and C are dseries objects the following syntax:
-%
+%
% D = [A, B, C] ;
%
% Defines a dseries object D containing the variables appearing in A, B and C.
%
-% REMARKS
+% REMARKS
% o A1, A2, ... must not have common variables.
-
+
% Copyright (C) 2011-2017 Dynare Team
%
% This file is part of Dynare.
@@ -50,72 +50,72 @@ switch nargin
end
function a = concatenate(b,c)
- [n,message] = common_strings_in_cell_arrays(b.name,c.name);
- if isempty(b)
- a = c;
- return
- end
- if isempty(c)
- a = b;
- return
- end
- if n
- error(['dseries::horzcat: I cannot concatenate dseries objects with common variable names (' message ')!'])
- end
- if ~isequal(frequency(b),frequency(c))
- error('dseries::horzcat: All time series objects must have common frequency!')
+[n,message] = common_strings_in_cell_arrays(b.name,c.name);
+if isempty(b)
+ a = c;
+ return
+end
+if isempty(c)
+ a = b;
+ return
+end
+if n
+ error(['dseries::horzcat: I cannot concatenate dseries objects with common variable names (' message ')!'])
+end
+if ~isequal(frequency(b),frequency(c))
+ error('dseries::horzcat: All time series objects must have common frequency!')
+else
+ a = dseries();
+end
+d_nobs_flag = 0;
+if ~isequal(nobs(b),nobs(c))
+ d_nobs_flag = 1;
+end
+d_init_flag = 0;
+if ~isequal(firstdate(b),firstdate(c))
+ d_init_flag = 1;
+end
+a.name = vertcat(b.name,c.name);
+a.tex = vertcat(b.tex,c.tex);
+if ~( d_nobs_flag(1) || d_init_flag(1) )
+ a.data = [b.data,c.data];
+ a.dates = b.dates;
+else
+ nobs_b = nobs(b);
+ nobs_c = nobs(c);
+ if firstdate(b)<=firstdate(c)
+ if firstdate(b)<firstdate(c)
+ c.data = [NaN(firstdate(c)-firstdate(b), vobs(c)); c.data];
+ end
else
- a = dseries();
- end
- d_nobs_flag = 0;
- if ~isequal(nobs(b),nobs(c))
- d_nobs_flag = 1;
+ b.data = [NaN(firstdate(b)-firstdate(c), vobs(b)); b.data];
end
- d_init_flag = 0;
- if ~isequal(firstdate(b),firstdate(c))
- d_init_flag = 1;
+ b_last_date = firstdate(b)+nobs_b;
+ c_last_date = firstdate(c)+nobs_c;
+ if b_last_date<c_last_date
+ b.data = [b.data; NaN(c_last_date-b_last_date, vobs(b))];
+ elseif b_last_date>c_last_date
+ c.data = [c.data; NaN(b_last_date-c_last_date, vobs(c))];
end
- a.name = vertcat(b.name,c.name);
- a.tex = vertcat(b.tex,c.tex);
- if ~( d_nobs_flag(1) || d_init_flag(1) )
- a.data = [b.data,c.data];
- a.dates = b.dates;
- else
- nobs_b = nobs(b);
- nobs_c = nobs(c);
- if firstdate(b)<=firstdate(c)
- if firstdate(b)<firstdate(c)
- c.data = [NaN(firstdate(c)-firstdate(b), vobs(c)); c.data];
- end
- else
- b.data = [NaN(firstdate(b)-firstdate(c), vobs(b)); b.data];
- end
- b_last_date = firstdate(b)+nobs_b;
- c_last_date = firstdate(c)+nobs_c;
- if b_last_date<c_last_date
- b.data = [b.data; NaN(c_last_date-b_last_date, vobs(b))];
- elseif b_last_date>c_last_date
- c.data = [c.data; NaN(b_last_date-c_last_date, vobs(c))];
- end
-
- fillerdates = dates();
- if max(c.dates) < min(b.dates)
- fillerdates = max(c.dates):min(b.dates);
- end
- if max(b.dates) < min(c.dates)
- fillerdates = max(b.dates):min(c.dates);
- end
- if isempty(fillerdates)
- hd = [b.dates, c.dates];
- else
- hd = [b.dates, fillerdates, c.dates];
- end
+ fillerdates = dates();
+ if max(c.dates) < min(b.dates)
+ fillerdates = max(c.dates):min(b.dates);
+ end
+ if max(b.dates) < min(c.dates)
+ fillerdates = max(b.dates):min(c.dates);
+ end
- a.data = [b.data, c.data];
- a.dates = sort(unique(hd));
+ if isempty(fillerdates)
+ hd = [b.dates, c.dates];
+ else
+ hd = [b.dates, fillerdates, c.dates];
end
+ a.data = [b.data, c.data];
+ a.dates = sort(unique(hd));
+end
+
%@test:1
%$ % Define a data set.
%$ A = [transpose(1:10),2*transpose(1:10)];
diff --git a/src/@dseries/hpcycle.m b/src/@dseries/hpcycle.m
index 90dd65303f5bee08361c36fecea3c43d3f614d75..faf2e0f269c6d6437f6770baaee2d894d776676f 100644
--- a/src/@dseries/hpcycle.m
+++ b/src/@dseries/hpcycle.m
@@ -4,11 +4,11 @@ function ts = hpcycle(ts, lambda) % --*-- Unitary tests --*--
%
% Extracts the cycle component from a dseries object using Hodrick Prescott filter.
%
-% INPUTS
+% INPUTS
% o ts dseries object.
% o lambda positive scalar, trend smoothness parameter.
%
-% OUTPUTS
+% OUTPUTS
% o ts dseries object, with time series replaced by the cyclical component of the original time series.
% Copyright (C) 2013 Dynare Team
@@ -28,13 +28,13 @@ function ts = hpcycle(ts, lambda) % --*-- 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/>.
-if nargin>1
+if nargin>1
if lambda<=0
error(['dseries::hpcycle: Lambda must be a positive integer!'])
end
else
lambda = [];
-end
+end
for i=1:vobs(ts)
ts.name(i) = {['hpcycle(' ts.name{i} ')']};
@@ -50,7 +50,7 @@ ts.data = data;
%$ % Create a dataset.
%$ e = .2*randn(200,1);
%$ u = randn(200,1);
-%$ stochastic_trend = cumsum(e);
+%$ stochastic_trend = cumsum(e);
%$ deterministic_trend = .1*transpose(1:200);
%$ x = zeros(200,1);
%$ for i=2:200
diff --git a/src/@dseries/hptrend.m b/src/@dseries/hptrend.m
index 6c699f9222672c286c379e977648781f3935f181..c88561ed9a0f0348a51213a9cca4d991a464a75a 100644
--- a/src/@dseries/hptrend.m
+++ b/src/@dseries/hptrend.m
@@ -4,11 +4,11 @@ function ts = hptrend(ts, lambda) % --*-- Unitary tests --*--
%
% Extracts the trend component from a dseries object using Hodrick Prescott filter.
%
-% INPUTS
+% INPUTS
% o ts dseries object.
% o lambda positive scalar, trend smoothness parameter.
%
-% OUTPUTS
+% OUTPUTS
% o ts dseries object, with time series replaced by the trend component of the original time series.
% Copyright (C) 2013 Dynare Team
@@ -28,7 +28,7 @@ function ts = hptrend(ts, lambda) % --*-- 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/>.
-if nargin>1
+if nargin>1
if lambda<=0
error(['dseries::hptrend: Lambda must be a positive integer!'])
end
@@ -44,12 +44,12 @@ end
ts.data = sample_hp_filter(ts.data,lambda);
%@test:1
-%$ plot_flag = 0;
+%$ plot_flag = 0;
%$
%$ % Create a dataset.
%$ e = .2*randn(200,1);
%$ u = randn(200,1);
-%$ stochastic_trend = cumsum(e);
+%$ stochastic_trend = cumsum(e);
%$ deterministic_trend = .1*transpose(1:200);
%$ x = zeros(200,1);
%$ for i=2:200
diff --git a/src/@dseries/insert.m b/src/@dseries/insert.m
index a6f17eafdcbafab4fcdb18691f731f5dd27c602d..b27c3d9fac03b99f745e54cabd6e697582b797dc 100644
--- a/src/@dseries/insert.m
+++ b/src/@dseries/insert.m
@@ -61,10 +61,10 @@ end
n = length(id);
if n>1
- [id, jd] = sort(id);
- us.data = us.data(:,jd);
- us.name = us.name(jd);
- us.tex = us.tex(jd);
+ [id, jd] = sort(id);
+ us.data = us.data(:,jd);
+ us.name = us.name(jd);
+ us.tex = us.tex(jd);
end
for i=1:n
diff --git a/src/@dseries/isequal.m b/src/@dseries/isequal.m
index 8a3c99a37afdae16e20d3287ab2e784f8f2d41f7..4d4afad0e3ba10d6bdaa244f28913a61b38fcf87 100644
--- a/src/@dseries/isequal.m
+++ b/src/@dseries/isequal.m
@@ -2,12 +2,12 @@ function C = isequal(A, B, tol)
% Overloads the isequal Matlab/Octave's function.
%
-% INPUTS
+% INPUTS
% o A dseries object (T periods, N variables).
% o B dseries object (T periods, N variables).
% o tol tolerance parameter.
%
-% OUTPUTS
+% OUTPUTS
% o C Integer scalar equal to zero or one.
% Copyright (C) 2013 Dynare Team
diff --git a/src/@dseries/isnan.m b/src/@dseries/isnan.m
index 4169415da2c4126dd02e6ac93d2a3970f56e5d1b..fbf9fd7ebd31d7423e6ab153ae20dba2a4c14e79 100644
--- a/src/@dseries/isnan.m
+++ b/src/@dseries/isnan.m
@@ -3,10 +3,10 @@ function b = isnan(o) % --*-- Unitary tests --*--
% Returns an array of logicals (true/false). Element (t,i) is true iff the i-th variable at
% period number t is not a NaN.
%
-% INPUTS
+% INPUTS
% - o [dseries] with N variables and T periods.
%
-% OUTPUTS
+% OUTPUTS
% - b [logical] T*N array of logicals.
diff --git a/src/@dseries/mrdivide.m b/src/@dseries/mrdivide.m
index 8dfacbc5bebc0f9507c5fc5bb421a4e8714c331b..280734b54c760243e2177b4b553539d6150e94bb 100644
--- a/src/@dseries/mrdivide.m
+++ b/src/@dseries/mrdivide.m
@@ -39,7 +39,7 @@ function A = mrdivide(B,C) % --*-- 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/>.
-
+
if isnumeric(B) && (isscalar(B) || isvector(B))
if ~isdseries(C)
error('dseries::mrdivide: Second input argument must be a dseries object!')
@@ -56,7 +56,7 @@ if isnumeric(C) && (isscalar(C) || isvector(C))
A = B;
A.data = bsxfun(@rdivide,B.data,C);
return
-end
+end
if isdseries(B) && isdseries(C)
% Element by element divisions of two dseries object
diff --git a/src/@dseries/ne.m b/src/@dseries/ne.m
index d87f15f008efbf26363b84e35f57dea3c8d36a68..d9ed6e4a05085c99af37dfe660cfeadf691d4836 100644
--- a/src/@dseries/ne.m
+++ b/src/@dseries/ne.m
@@ -2,15 +2,15 @@ function C = ne(A,B) % --*-- Unitary tests --*--
% Overloads ne (~=) operator.
%
-% INPUTS
+% INPUTS
% o A dseries object (T periods, N variables).
% o B dseries object (T periods, N variables).
%
-% OUTPUTS
-% o C T*N matrix of zeros and ones. Element C(t,n) is nonzero iff observation t of variable n in A and B are different.
+% OUTPUTS
+% o C T*N matrix of zeros and ones. Element C(t,n) is nonzero iff observation t of variable n in A and B are different.
%
-% REMARKS
-% If the number of variables, the number of observations or the frequencies are different in A and B, the function returns one.
+% REMARKS
+% If the number of variables, the number of observations or the frequencies are different in A and B, the function returns one.
% Copyright (C) 2013 Dynare Team
%
diff --git a/src/@dseries/plot.m b/src/@dseries/plot.m
index 058a44dd0cf1a08af81def389fb0ac868f5dd42b..975e0098bb0f20bc1fbcebbba37ec0d4baf59a9f 100644
--- a/src/@dseries/plot.m
+++ b/src/@dseries/plot.m
@@ -1,6 +1,6 @@
function h = plot(ts, varargin)
-% Overloads Matlab/Octave's plot function for dseries objects.
+% Overloads Matlab/Octave's plot function for dseries objects.
% Copyright (C) 2013 Dynare Team
%
@@ -70,7 +70,7 @@ switch ndseries
hh = plot(ts0.data, ts1.data, varargin{2:end});
else
if length(varargin)>1
- message = sprintf('dseries::plot: dseries objects %s and %s have %d>1 variables but you passed additional arguments to the plot function.\n These additional arguments won''t ne interpreted. Use the Matlab/Octave set command and the plot\n handle instead if you wish to modify the properties of the plotted time series.',inputname(1),inputname(2),nvariables);
+ message = sprintf('dseries::plot: dseries objects %s and %s have %d>1 variables but you passed additional arguments to the plot function.\n These additional arguments won''t ne interpreted. Use the Matlab/Octave set command and the plot\n handle instead if you wish to modify the properties of the plotted time series.',inputname(1),inputname(2),nvariables);
warning(message)
end
hh = plot(ts0.data, ts1.data);
@@ -80,5 +80,5 @@ switch ndseries
end
if nargout
- h = hh;
+ h = hh;
end
\ No newline at end of file
diff --git a/src/@dseries/plus.m b/src/@dseries/plus.m
index d37b50621c7a640cfeb6e8b6739b03259ef9916b..6aa6567786d2698edf9808483192d71ccd6e8c36 100644
--- a/src/@dseries/plus.m
+++ b/src/@dseries/plus.m
@@ -146,7 +146,7 @@ end
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = dseries(B,[],B_name,[]);
%$ ts3 = ts1+ts2;
-%$ ts4 = ts3+ts1;
+%$ ts4 = ts3+ts1;
%$ t(1) = 1;
%$ catch
%$ t = 0;
diff --git a/src/@dseries/private/default_name.m b/src/@dseries/private/default_name.m
index 1711195c4313ddca8d499cd4d4b2f49f7cedb867..ea3f615b4f9770affd85b75e5190eaed3581fe9f 100644
--- a/src/@dseries/private/default_name.m
+++ b/src/@dseries/private/default_name.m
@@ -17,11 +17,8 @@ function names = default_name(dim)
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
-
+
names = {};
for i=1:dim
names = vertcat(names, {['Variable_' int2str(i)]});
end
-
-
-
diff --git a/src/@dseries/set_names.m b/src/@dseries/set_names.m
index d17a2e88a5d08bb113e8808260068a6c40bad315..f0afaf6f1dd60bed1b0d428fabf9ae1da06cff66 100644
--- a/src/@dseries/set_names.m
+++ b/src/@dseries/set_names.m
@@ -77,7 +77,7 @@ end
%$ catch
%$ t = 0;
%$ end
-%$
+%$
%$ if length(t)>1
%$ t(2) = dassert(ts2.vobs,3);
%$ t(3) = dassert(ts2.nobs,10);
diff --git a/src/@dseries/std.m b/src/@dseries/std.m
index 7cedf390d8826e56586426cb8e488f469f42b475..845e1dd126ece3752f42e3af40fe0646669a988f 100644
--- a/src/@dseries/std.m
+++ b/src/@dseries/std.m
@@ -96,7 +96,7 @@ end
%$ catch
%$ t = 0;
%$ end
-%$
+%$
%$ if t(1)
%$ t(2) = dassert(isequal(size(s),[1, 2]), true);
%$ t(3) = dassert(max(abs(s-[.1, .1]))<.0001, true);
@@ -116,7 +116,7 @@ end
%$ catch
%$ t = 0;
%$ end
-%$
+%$
%$ if t(1)
%$ t(2) = dassert(isequal(size(s),[1, 2]), true);
%$ t(3) = dassert(max(abs(s-[.1, .1]))<.0001, true);
diff --git a/src/@dseries/subsasgn.m b/src/@dseries/subsasgn.m
index f34436ff5db3cbe441b4707dd2d57fdc1a824083..2c3ca51d96296f88e39a4407e6edc90b87d5896a 100644
--- a/src/@dseries/subsasgn.m
+++ b/src/@dseries/subsasgn.m
@@ -28,156 +28,156 @@ function A = subsasgn(A,S,B) % --*-- Unitary tests --*--
merge_dseries_objects = 1;
switch length(S)
- case 1
- switch S(1).type
- case '{}' % Multiple variable selection.
- if ~isequal(numel(S(1).subs),numel(unique(S(1).subs)))
- error('dseries::subsasgn: Wrong syntax!')
- end
- for i=1:numel(S(1).subs)
- element = S(1).subs{i};
- % Implicit loop.
- idArobase = strfind(element,'@');
- if mod(length(idArobase),2)
- error('dseries::subsasgn: (Implicit loops) The number of @ symbols must be even!')
- end
- % regular expression.
- idBracket.open = strfind(element, '[');
- idBracket.close = strfind(element, ']');
- if ~isequal(length(idBracket.open),length(idBracket.open))
- error('dseries::subsasgn: (Matlab/Octave''s regular expressions) Check opening and closing square brackets!')
- end
- % Loops and regular expressions are not compatible
- if length(idArobase) && length(idBracket.open)
- error(['dseries::subsasgn: You cannot use implicit loops and regular expressions in the same rule!'])
- end
- if ~isempty(idArobase)
- elements = build_list_of_variables_with_loops({}, idArobase, element, {});
- S(1).subs = replace_object_in_a_one_dimensional_cell_array(S(1).subs, elements(:), i);
- end
- if ~isempty(idBracket.open)
- elements = build_list_of_variables_with_regexp(A.name, idBracket, element, {});
- S(1).subs = replace_object_in_a_one_dimensional_cell_array(S(1).subs, elements(:), i);
- end
- end
- if isempty(B)
- for i=1:length(S(1).subs)
- A = remove(A,S(1).subs{i});
- end
- return
- end
- if ~isequal(length(S(1).subs),vobs(B))
- error('dseries::subsasgn: Wrong syntax!')
- end
- if ~isequal(S(1).subs(:),B.name)
- for i = 1:vobs(B)
- if ~isequal(S(1).subs{i},B.name{i})
- % Rename a variable.
- id = find(strcmp(S(1).subs{i},A.name));
- if isempty(id)
- % Add a new variable a change its name.
- B.name(i) = {S(1).subs{i}};
- B.tex(i) = {name2tex(S(1).subs{i})};
- else
- % Rename variable and change its content.
- B.name(i) = A.name(id);
- B.tex(i) = A.tex(id);
- end
- end
- end
- end
- case '.'
- if isequal(S(1).subs,'init') && isdates(B) && isequal(length(B),1)
- % Change the initial date (update dates member)
- A.dates = B:B+(nobs(A)-1);
- return
- elseif isequal(S(1).subs,'dates') && isdates(B)
- % Overwrite the dates member
- A.dates = B;
- return
- elseif ismember(S(1).subs,{'data','name','tex'})
- error(['dseries::subsasgn: You cannot overwrite ' S(1).subs ' member!'])
- elseif ~isequal(S(1).subs,B.name)
- % Single variable selection.
- if ~isequal(S(1).subs,B.name{1})
- % Rename a variable.
- id = find(strcmp(S(1).subs,A.name));
- if isempty(id)
- % Add a new variable a change its name.
- B.name(1) = {S(1).subs};
- B.tex(1) = {name2tex(S(1).subs)};
- else
- % Rename variable and change its content.
- B.name(1) = A.name(id);
- B.tex(1) = A.tex(id);
- end
- end
- end
- case '()' % Date(s) selection
- if isdates(S(1).subs{1}) || isdate(S(1).subs{1})
- if isdate(S(1).subs{1})
- Dates = dates(S(1).subs{1});
+ case 1
+ switch S(1).type
+ case '{}' % Multiple variable selection.
+ if ~isequal(numel(S(1).subs),numel(unique(S(1).subs)))
+ error('dseries::subsasgn: Wrong syntax!')
+ end
+ for i=1:numel(S(1).subs)
+ element = S(1).subs{i};
+ % Implicit loop.
+ idArobase = strfind(element,'@');
+ if mod(length(idArobase),2)
+ error('dseries::subsasgn: (Implicit loops) The number of @ symbols must be even!')
+ end
+ % regular expression.
+ idBracket.open = strfind(element, '[');
+ idBracket.close = strfind(element, ']');
+ if ~isequal(length(idBracket.open),length(idBracket.open))
+ error('dseries::subsasgn: (Matlab/Octave''s regular expressions) Check opening and closing square brackets!')
+ end
+ % Loops and regular expressions are not compatible
+ if length(idArobase) && length(idBracket.open)
+ error(['dseries::subsasgn: You cannot use implicit loops and regular expressions in the same rule!'])
+ end
+ if ~isempty(idArobase)
+ elements = build_list_of_variables_with_loops({}, idArobase, element, {});
+ S(1).subs = replace_object_in_a_one_dimensional_cell_array(S(1).subs, elements(:), i);
+ end
+ if ~isempty(idBracket.open)
+ elements = build_list_of_variables_with_regexp(A.name, idBracket, element, {});
+ S(1).subs = replace_object_in_a_one_dimensional_cell_array(S(1).subs, elements(:), i);
+ end
+ end
+ if isempty(B)
+ for i=1:length(S(1).subs)
+ A = remove(A,S(1).subs{i});
+ end
+ return
+ end
+ if ~isequal(length(S(1).subs),vobs(B))
+ error('dseries::subsasgn: Wrong syntax!')
+ end
+ if ~isequal(S(1).subs(:),B.name)
+ for i = 1:vobs(B)
+ if ~isequal(S(1).subs{i},B.name{i})
+ % Rename a variable.
+ id = find(strcmp(S(1).subs{i},A.name));
+ if isempty(id)
+ % Add a new variable a change its name.
+ B.name(i) = {S(1).subs{i}};
+ B.tex(i) = {name2tex(S(1).subs{i})};
+ else
+ % Rename variable and change its content.
+ B.name(i) = A.name(id);
+ B.tex(i) = A.tex(id);
+ end
+ end
+ end
+ end
+ case '.'
+ if isequal(S(1).subs,'init') && isdates(B) && isequal(length(B),1)
+ % Change the initial date (update dates member)
+ A.dates = B:B+(nobs(A)-1);
+ return
+ elseif isequal(S(1).subs,'dates') && isdates(B)
+ % Overwrite the dates member
+ A.dates = B;
+ return
+ elseif ismember(S(1).subs,{'data','name','tex'})
+ error(['dseries::subsasgn: You cannot overwrite ' S(1).subs ' member!'])
+ elseif ~isequal(S(1).subs,B.name)
+ % Single variable selection.
+ if ~isequal(S(1).subs,B.name{1})
+ % Rename a variable.
+ id = find(strcmp(S(1).subs,A.name));
+ if isempty(id)
+ % Add a new variable a change its name.
+ B.name(1) = {S(1).subs};
+ B.tex(1) = {name2tex(S(1).subs)};
else
- Dates = S(1).subs{1};
+ % Rename variable and change its content.
+ B.name(1) = A.name(id);
+ B.tex(1) = A.tex(id);
end
- [junk, tdx] = intersect(A.dates.time,Dates.time,'rows');
- if isdseries(B)
- [junk, tdy] = intersect(B.dates.time,Dates.time,'rows');
- if isempty(tdy)
- error('dseries::subsasgn: Periods of the dseries objects on the left and right hand sides must intersect!')
- end
- if ~isequal(vobs(A), vobs(B))
- error('dseries::subsasgn: Dimension error! The number of variables on the left and right hand side must match.')
- end
- A.data(tdx,:) = B.data(tdy,:);
- merge_dseries_objects = 0;
- elseif isnumeric(B)
- merge_dseries_objects = 0;
- if isequal(length(tdx),rows(B))
- if isequal(columns(A.data),columns(B))
- A.data(tdx,:) = B;
- else
- error('dseries::subsasgn: Dimension error! The number of variables on the left and right hand side must match.')
- end
- else
- error('dseries::subsassgn: Dimension error! The number of periods on the left and right hand side must match.')
- end
- else
- error('dseries::subsasgn: The object on the right hand side must be a dseries object or a numeric array!')
- end
- elseif ischar(S(1).subs{1}) && isequal(S(1).subs{1},':') && isempty(A)
- if isnumeric(B)
- if isequal(rows(B),1)
- A.data = repmat(B,A.dates.ndat,1);
- elseif isequal(rows(B),A.dates.ndat)
- A.data = B;
- else
- error('dseries::subsasgn: Wrong syntax!')
- end
- if isempty(A.name)
- A.name = default_name(vobs(A));
- A.tex = name2tex(A.name);
- end
- elseif isdseries(B)
- if isequal(nobs(B), 1)
- A.data = repmat(B.data,A.dates.ndat,1);
- elseif isequal(nobs(B), A.dates.ndat)
- A.data = B;
- else
- error('dseries::subsasgn: Wrong syntax!')
- end
- if isempty(A.name)
- A.name = B.name;
- A.tex = B.tex;
- end
- end
- return
- else
- error('dseries::subsasgn: Wrong syntax!')
- end
- otherwise
- error('dseries::subsasgn: Wrong syntax!')
- end
+ end
+ end
+ case '()' % Date(s) selection
+ if isdates(S(1).subs{1}) || isdate(S(1).subs{1})
+ if isdate(S(1).subs{1})
+ Dates = dates(S(1).subs{1});
+ else
+ Dates = S(1).subs{1};
+ end
+ [junk, tdx] = intersect(A.dates.time,Dates.time,'rows');
+ if isdseries(B)
+ [junk, tdy] = intersect(B.dates.time,Dates.time,'rows');
+ if isempty(tdy)
+ error('dseries::subsasgn: Periods of the dseries objects on the left and right hand sides must intersect!')
+ end
+ if ~isequal(vobs(A), vobs(B))
+ error('dseries::subsasgn: Dimension error! The number of variables on the left and right hand side must match.')
+ end
+ A.data(tdx,:) = B.data(tdy,:);
+ merge_dseries_objects = 0;
+ elseif isnumeric(B)
+ merge_dseries_objects = 0;
+ if isequal(length(tdx),rows(B))
+ if isequal(columns(A.data),columns(B))
+ A.data(tdx,:) = B;
+ else
+ error('dseries::subsasgn: Dimension error! The number of variables on the left and right hand side must match.')
+ end
+ else
+ error('dseries::subsassgn: Dimension error! The number of periods on the left and right hand side must match.')
+ end
+ else
+ error('dseries::subsasgn: The object on the right hand side must be a dseries object or a numeric array!')
+ end
+ elseif ischar(S(1).subs{1}) && isequal(S(1).subs{1},':') && isempty(A)
+ if isnumeric(B)
+ if isequal(rows(B),1)
+ A.data = repmat(B,A.dates.ndat,1);
+ elseif isequal(rows(B),A.dates.ndat)
+ A.data = B;
+ else
+ error('dseries::subsasgn: Wrong syntax!')
+ end
+ if isempty(A.name)
+ A.name = default_name(vobs(A));
+ A.tex = name2tex(A.name);
+ end
+ elseif isdseries(B)
+ if isequal(nobs(B), 1)
+ A.data = repmat(B.data,A.dates.ndat,1);
+ elseif isequal(nobs(B), A.dates.ndat)
+ A.data = B;
+ else
+ error('dseries::subsasgn: Wrong syntax!')
+ end
+ if isempty(A.name)
+ A.name = B.name;
+ A.tex = B.tex;
+ end
+ end
+ return
+ else
+ error('dseries::subsasgn: Wrong syntax!')
+ end
+ otherwise
+ error('dseries::subsasgn: Wrong syntax!')
+ end
case 2
merge_dseries_objects = 0;
if ((isequal(S(1).type,'{}') || isequal(S(1).type,'.')) && isequal(S(2).type,'()'))
diff --git a/src/@dseries/tex_rename.m b/src/@dseries/tex_rename.m
index 801b8df789187607821cd09a19b4e505258e5af3..1414cd41708d4cc40de94ab7464eb1bf54f7a67d 100644
--- a/src/@dseries/tex_rename.m
+++ b/src/@dseries/tex_rename.m
@@ -31,7 +31,7 @@ end
assert(ischar(newtexname) || (iscellstr(newtexname) && length(newtexname) == vobs(ts)), ...
['dseries::tex_rename: third input argument (newtexname) name must either be a string' ...
- ' or a cell array of strings with the same number of entries as varibles in the dseries']);
+ ' or a cell array of strings with the same number of entries as varibles in the dseries']);
if nargin == 2
idname = 1;
diff --git a/src/@dseries/vertcat.m b/src/@dseries/vertcat.m
index 387885ac9e1c6ec6d850bda8844e2a6debd1ad6e..d77e89e7d75cb5e2d3e0231ea4a5abb983dbcaab 100644
--- a/src/@dseries/vertcat.m
+++ b/src/@dseries/vertcat.m
@@ -7,7 +7,7 @@ function a = vertcat(varargin) % --*-- Unitary tests --*--
%! Method of the dseries class.
%! @sp 1
%! This method overloads the vertical concatenation operator, so that
-%! two (or more) time series objects containing the same variables
+%! two (or more) time series objects containing the same variables
%! can be merged using the following syntax:
%!
%! a = [b; c; d];
@@ -59,29 +59,29 @@ elseif nargin>1
end
function d = vertcat_(b, c)
- d = NaN;
- if ~isequal(frequency(b), frequency(c))
- error('dseries::vertcat: Frequencies must be common!')
- end
- if ~isequal(vobs(b), vobs(c))
- error('dseries::vertcat: Number of variables must be common!')
- end
- reorder_variables_in_c = false;
- if ~isequal(b.name, c.name)
- [t, idx] = ismember(b.name, c.name);
- if all(t)
- reorder_variables_in_c = true;
- else
- error('dseries::vertcat: Variables must be common!')
- end
- end
- d = b;
- if reorder_variables_in_c
- d.data = [b.data; c.data(:,idx)];
+d = NaN;
+if ~isequal(frequency(b), frequency(c))
+ error('dseries::vertcat: Frequencies must be common!')
+end
+if ~isequal(vobs(b), vobs(c))
+ error('dseries::vertcat: Number of variables must be common!')
+end
+reorder_variables_in_c = false;
+if ~isequal(b.name, c.name)
+ [t, idx] = ismember(b.name, c.name);
+ if all(t)
+ reorder_variables_in_c = true;
else
- d.data = [b.data; c.data];
+ error('dseries::vertcat: Variables must be common!')
end
- d.dates = [b.dates; c.dates];
+end
+d = b;
+if reorder_variables_in_c
+ d.data = [b.data; c.data(:,idx)];
+else
+ d.data = [b.data; c.data];
+end
+d.dates = [b.dates; c.dates];
%@test:1
%$ % Define a data set.
diff --git a/src/read/load_csv_file_data.m b/src/read/load_csv_file_data.m
index 3a65360cafbb4eb70f61c2892a50067f7bdd0876..32b6b52848e5b108b170d807d098cd6e10fe7415 100644
--- a/src/read/load_csv_file_data.m
+++ b/src/read/load_csv_file_data.m
@@ -2,16 +2,16 @@ function [freq, init, data, varlist] = load_csv_file_data(file) % --*-- Unitary
%function [freq, init, data, varlist] = load_csv_file_data(file)
% Loads data in a csv file.
%
-% INPUTS
+% INPUTS
% o file string, name of the csv file (with path).
%
-% OUTPUTS
+% OUTPUTS
% o freq integer scalar equal to 1, 4, 12 or 52 (for annual, quaterly, monthly or weekly frequencies).
% o init dates object, initial date in the dataset.
% o data matrix of doubles, the data.
% o varlist cell of strings, names of the variables.
%
-% REMARKS
+% REMARKS
% The varlist output will be set only if the first line contains variable
% names. Similarly, if the first column does not contain dates, then
% freq will be 1 and init will be year 1.
diff --git a/src/read/load_m_file_data.m b/src/read/load_m_file_data.m
index cc724714112dc140558ff31b87bac60ce54b81d9..1be2c2622f3179c29c1baf1322a17549aa45fca3 100644
--- a/src/read/load_m_file_data.m
+++ b/src/read/load_m_file_data.m
@@ -2,18 +2,18 @@ function [freq,init,data,varlist,tex] = load_m_file_data(file)
% Loads data in a matlab/octave script.
%
-% INPUTS
+% INPUTS
% o file string, name of the matlab/octave script (with path)
%
-% OUTPUTS
+% OUTPUTS
% o freq integer scalar equal to 1, 4, 12 or 52 (for annual, quaterly, monthly or weekly frequencies).
% o init dates object, initial date in the dataset.
% o data matrix of doubles, the data.
% o varlist cell of strings, names of the variables.
%
-% REMARKS
-% The frequency and initial date can be specified with variables FREQ__ and INIT__ in the matlab/octave script. FREQ__ must
-% be a scalar integer and INIT__ a string like '1938M11', '1945Q3', '1973W3' or '2009A'. If these variables are not specified
+% REMARKS
+% The frequency and initial date can be specified with variables FREQ__ and INIT__ in the matlab/octave script. FREQ__ must
+% be a scalar integer and INIT__ a string like '1938M11', '1945Q3', '1973W3' or '2009A'. If these variables are not specified
% default values for freq and init are 1 and dates(1,1).
% Copyright (C) 2012-2015 Dynare Team
@@ -94,7 +94,7 @@ if isempty(varlist0)
|| isequal(list_of_variables(current_variable_index).name,'varlist0') ...
|| isequal(list_of_variables(current_variable_index).name,'list_of_variables') ...
|| isequal(list_of_variables(current_variable_index).name,'tex') ...
- continue
+ continue
end
if list_of_variables(current_variable_index).global || list_of_variables(current_variable_index).persistent
% A variable cannot be a global or persistent variable.
@@ -117,7 +117,7 @@ if isempty(varlist0)
end
else
for current_variable_index=1:length(varlist0)
- eval(['data = [data, ' varlist0{current_variable_index} '];'])
+ eval(['data = [data, ' varlist0{current_variable_index} '];'])
end
varlist = varlist0;
end
diff --git a/src/read/load_mat_file_data.m b/src/read/load_mat_file_data.m
index d83995674f5d479b7885ca5d1f7df78d79c22740..8f12c7ad4ef227314b5ba055f55e023238c36876 100644
--- a/src/read/load_mat_file_data.m
+++ b/src/read/load_mat_file_data.m
@@ -2,18 +2,18 @@ function [freq,init,data,varlist,tex] = load_mat_file_data(file) % --*-- Unitar
% Loads data in a matlab/octave mat-file.
%
-% INPUTS
+% INPUTS
% o file string, name of the matlab/octave mat file (with path)
%
-% OUTPUTS
+% OUTPUTS
% o freq integer scalar equal to 1, 4, 12 or 52 (for annual, quaterly, monthly or weekly frequencies).
% o init dates object, initial date in the dataset.
% o data matrix of doubles, the data.
% o varlist cell of strings, names of the variables.
%
-% REMARKS
-% The frequency and initial date can be specified with variables FREQ__ and INIT__ in the matlab/octave binary file. FREQ__ must
-% be a scalar integer and INIT__ a string like '1938M11', '1945Q3', '1973W3' or '2009A'. If these variables are not specified
+% REMARKS
+% The frequency and initial date can be specified with variables FREQ__ and INIT__ in the matlab/octave binary file. FREQ__ must
+% be a scalar integer and INIT__ a string like '1938M11', '1945Q3', '1973W3' or '2009A'. If these variables are not specified
% default values for freq and init are 1 and dates(1,1).
% Copyright (C) 2012-2017 Dynare Team
diff --git a/src/read/load_xls_file_data.m b/src/read/load_xls_file_data.m
index 143e58ab44b030adf06e7492cbce509a23a71ded..439056de64d680a260cc82bbe38b546e0a4b9cbe 100644
--- a/src/read/load_xls_file_data.m
+++ b/src/read/load_xls_file_data.m
@@ -2,18 +2,18 @@ function [freq, init, data, varlist] = load_xls_file_data(file, sheet, range)
% Loads data in a xls file.
%
-% INPUTS
+% INPUTS
% o file string, name of the file (with extension).
% o sheet string, name of the sheet to be read.
% o range string of the form 'B2:D6'
%
-% OUTPUTS
+% OUTPUTS
% o freq integer scalar (1, 4, 12 or 52), code for frequency.
% o init dates object, initial date of the sample.
% o data matrix of doubles, the raw data.
% o varlist cell of strings (column), names of the variables in the database.
%
-% REMARKS
+% REMARKS
% The range argument is only available on windows platform (with Excel installed).
% Copyright (C) 2013-2015 Dynare Team
@@ -45,13 +45,13 @@ if nargin<3 || isempty(range)
end
if isoctave && ~user_has_octave_forge_package('io')
- try
- pkg load io
- catch
- error(['The io package is required to read CSV files from Octave. ' ...
- 'It can be installed by running the following from the Octave ' ...
- ' command line: pkg install -forge io']);
- end
+ try
+ pkg load io
+ catch
+ error(['The io package is required to read CSV files from Octave. ' ...
+ 'It can be installed by running the following from the Octave ' ...
+ ' command line: pkg install -forge io']);
+ end
end
% Check file extension.
@@ -87,18 +87,18 @@ if isequal(t1,0) && isequal(t2,0)
notime = 1;
noname = 1;
elseif isequal(t2,1) && t1>=t2 && n2~=t2 %only one column present, but no var name in header text
- % The file contains no informations about the dates.
+ % The file contains no informations about the dates.
notime = 0;
noname = 1;
elseif isequal(t2,1) && t1>=t2 && n2==t2 %only one column present with var name in header text
- % The file contains no informations about the variables.
+ % The file contains no informations about the variables.
notime = 1;
noname = 0;
elseif isequal(t1,1) && t2>=t1
% The file contains no informations about the dates.
notime = 1;
noname = 0;
-else
+else
% The file contains informations about the variables and dates.
notime = 0;
noname = 0;
@@ -135,7 +135,7 @@ if ~noname
else
varlist = transpose(txt(1,2:end));
end
- % Remove leading and trailing white spaces
+ % Remove leading and trailing white spaces
for i=1:length(varlist)
varlist(i) = {strtrim(varlist{i})};
end
diff --git a/src/utilities/file/check_file_extension.m b/src/utilities/file/check_file_extension.m
index 70107015e0e3c38bd24fbe2dc2358b10e0beeb30..472b0aed1bc7f8e6ccc6301897a7590a8d22e4d0 100644
--- a/src/utilities/file/check_file_extension.m
+++ b/src/utilities/file/check_file_extension.m
@@ -3,11 +3,11 @@ function b = check_file_extension(file,type)
% Check file extension of a file. Returns 1 (true) if the extension of ```file``` is equal to
% ```type```, 0 (false) otherwise.
%
-% INPUTS
+% INPUTS
% - file [str] file name.
% - type [str] file extension.
%
-% OUTPUTS
+% OUTPUTS
% - b [bool]
diff --git a/src/utilities/from/from.m b/src/utilities/from/from.m
index feb2a80c313727d81ccfadcbe21980a01af26a96..0b8a0c7f3d0038418b7d8176c9872c917c2772c9 100644
--- a/src/utilities/from/from.m
+++ b/src/utilities/from/from.m
@@ -281,7 +281,7 @@ end
% Put all the variables in a unique dseries object.
list_of_variables = leadlagtable{1,1};
for i=2:number_of_variables
- list_of_variables = [list_of_variables, ',' leadlagtable{i,1}];
+ list_of_variables = [list_of_variables, ',' leadlagtable{i,1}];
end
eval(sprintf('tmp = [%s];', list_of_variables));
@@ -376,52 +376,52 @@ else
end
function msg = get_error_message_0(msg)
- if ~nargin
- msg = sprintf('Wrong syntax! The correct syntax is:\n\n');
- else
- msg = [msg, sprintf('The correct syntax is:\n\n')];
- end
- msg = [msg, sprintf(' from d1 to d2 do SOMETHING\n\n')];
- msg = [msg, sprintf('where d1<d2 are dates objects, and SOMETHING is a recursive expression involving dseries objects.')];
+if ~nargin
+ msg = sprintf('Wrong syntax! The correct syntax is:\n\n');
+else
+ msg = [msg, sprintf('The correct syntax is:\n\n')];
+end
+msg = [msg, sprintf(' from d1 to d2 do SOMETHING\n\n')];
+msg = [msg, sprintf('where d1<d2 are dates objects, and SOMETHING is a recursive expression involving dseries objects.')];
function index = extractindex(str)
- index = regexpi(str,'\(t\)|\(t\-\d\)|\(t\+\d\)','match');
+index = regexpi(str,'\(t\)|\(t\-\d\)|\(t\+\d\)','match');
function i = index2num(id)
- if isequal('(t)',id)
- i = 0;
- return
- end
- if isequal('-',id(3))
- i = - str2num(id(4:end-1));
- else
- i = str2num(id(4:end-1));
- end
+if isequal('(t)',id)
+ i = 0;
+ return
+end
+if isequal('-',id(3))
+ i = - str2num(id(4:end-1));
+else
+ i = str2num(id(4:end-1));
+end
function id = num2index(i)
- if isequal(i,0)
- id = '(t)';
- return
- end
- if i<0
- id = ['(t-' int2str(abs(i)) ')'];
- else
- id = ['(t+' int2str(i) ')'];
- end
+if isequal(i,0)
+ id = '(t)';
+ return
+end
+if i<0
+ id = ['(t-' int2str(abs(i)) ')'];
+else
+ id = ['(t+' int2str(i) ')'];
+end
function i = isassignedvariable(var,expr)
- idv = strfind(expr,var);
- idq = strfind(expr,'=');
- if ~isempty(idv)
- if idv(1)<idq
- i = 1;
- return
- end
+idv = strfind(expr,var);
+idq = strfind(expr,'=');
+if ~isempty(idv)
+ if idv(1)<idq
+ i = 1;
+ return
end
- i = 0;
+end
+i = 0;
%@test:1
%$ try
diff --git a/src/utilities/insert/insert_column_vector_in_a_matrix.m b/src/utilities/insert/insert_column_vector_in_a_matrix.m
index 11884240161c4f9473bdacc0303774e3b2e1b9f0..c9736ce0ece18f18f2030f05077936db9cb6b3b6 100644
--- a/src/utilities/insert/insert_column_vector_in_a_matrix.m
+++ b/src/utilities/insert/insert_column_vector_in_a_matrix.m
@@ -2,12 +2,12 @@ function matrix = insert_column_vector_in_a_matrix(matrix, vector, i) % --*-- U
% Inserts a vector in a matrix in a column specified by i.
%
-% INPUTS
+% INPUTS
% - matrix [float] n*m matrix.
% - vector [float] n*1 vector.
% - i [integer] scalar between 1 and m+1. Default value is m+1.
%
-% OUTPUTS
+% OUTPUTS
% - matrix [float] n*(m+1) matrix.
% Copyright (C) 2013-2015 Dynare Team
diff --git a/src/utilities/insert/insert_object_in_a_one_dimensional_cell_array.m b/src/utilities/insert/insert_object_in_a_one_dimensional_cell_array.m
index c8ce6632fd6e6d5a82c3a13a7a04bdebf5284b24..43c466ef00e92e179a547ce3f1f93decd2eb2b2f 100644
--- a/src/utilities/insert/insert_object_in_a_one_dimensional_cell_array.m
+++ b/src/utilities/insert/insert_object_in_a_one_dimensional_cell_array.m
@@ -2,12 +2,12 @@ function one_dimensional_cell_array = insert_object_in_a_one_dimensional_cell_ar
% Inserts an object in a one dimensional cell array in a position specified by i.
%
-% INPUTS
+% INPUTS
% - one_dimensional_cell_array [any] cell array with n objects.
% - object [any] scalar object.
% - i [integer] scalar between 1 and n+1. Default value is m+1.
%
-% OUTPUTS
+% OUTPUTS
% - one_dimensional_cell_array [any] cell array with n+1 elements.
% Copyright (C) 2013-2015 Dynare Team
diff --git a/src/utilities/insert/replace_object_in_a_one_dimensional_cell_array.m b/src/utilities/insert/replace_object_in_a_one_dimensional_cell_array.m
index b5fcfff553733a3d996ddca09c9bc831df5223f8..5e545c2d77ff550ed554bce7a58b990fefe0aec2 100644
--- a/src/utilities/insert/replace_object_in_a_one_dimensional_cell_array.m
+++ b/src/utilities/insert/replace_object_in_a_one_dimensional_cell_array.m
@@ -2,12 +2,12 @@ function one_dimensional_cell_array = replace_object_in_a_one_dimensional_cell_a
% Replaces an object in a one dimensional cell array in a position specified by i.
%
-% INPUTS
+% INPUTS
% - one_dimensional_cell_array [any] cell array with n objects.
% - object [any] scalar object.
% - i [integer] scalar between 1 and n.
%
-% OUTPUTS
+% OUTPUTS
% - one_dimensional_cell_array [any] cell array with n+1 elements.
% Copyright (C) 2013-2015 Dynare Team
diff --git a/src/utilities/is/iscellofchar.m b/src/utilities/is/iscellofchar.m
index a9100f61ca57a94d1a32642753a3d4d57ad1cfdb..c6185af7d53dc17e693cf213053a55ed66f33116 100644
--- a/src/utilities/is/iscellofchar.m
+++ b/src/utilities/is/iscellofchar.m
@@ -2,10 +2,10 @@ function a = iscellofchar(b)
% Returns true iff ```b``` is a cell of char.
%
-% INPUTS
+% INPUTS
% - b [any]
%
-% OUTPUTS
+% OUTPUTS
% - a [bool]
% Copyright (C) 2012-2015 Dynare Team
diff --git a/src/utilities/is/isglobalinbase.m b/src/utilities/is/isglobalinbase.m
index 8280ac610a04155d96fd4b0cec013697c6708431..6466d8682d4469a24245ed8ca307643804b6b632 100644
--- a/src/utilities/is/isglobalinbase.m
+++ b/src/utilities/is/isglobalinbase.m
@@ -2,10 +2,10 @@ function a = isglobalinbase(var)
% Returns true iff ```var``` is a global variable in the main workspace.
%
-% INPUTS
+% INPUTS
% - var [any]
%
-% OUTPUTS
+% OUTPUTS
% - a [bool]
% Copyright (C) 2013-2015 Dynare Team
diff --git a/src/utilities/missing/demean/demean.m b/src/utilities/missing/demean/demean.m
index bcfa3b5dbfad4934c9561e00de77a09771f52186..8e77f55f438d298acc60f5792430b7760dd548c8 100644
--- a/src/utilities/missing/demean/demean.m
+++ b/src/utilities/missing/demean/demean.m
@@ -2,10 +2,10 @@ function c = demean(x)
% Removes the mean of each column of a matrix.
%
-% INPUTS
+% INPUTS
% - x [float] T*n matrix.
%
-% OUTPUTS
+% OUTPUTS
% - c [float] T*n matrix, the demeaned matrix x.
% Copyright (C) 2011-2015 Dynare Team
diff --git a/src/utilities/missing/ndim/ndim.m b/src/utilities/missing/ndim/ndim.m
index dc62e80d231b86bdef33ce6866ccea676b9561ec..601d66c1d71d8d569b1dc1e46caa74afbcd7e343 100644
--- a/src/utilities/missing/ndim/ndim.m
+++ b/src/utilities/missing/ndim/ndim.m
@@ -2,10 +2,10 @@ function n = ndim(x)
% Returns the number of non singleton dimensions of a matlab array.
%
-% INPUTS
+% INPUTS
% - x [array]
%
-% OUTPUTS
+% OUTPUTS
% - n [integer] number of non singleton dimensions.
% Copyright (C) 2012-2015 Dynare Team
diff --git a/src/utilities/missing/sample_hp_filter/sample_hp_filter.m b/src/utilities/missing/sample_hp_filter/sample_hp_filter.m
index 77dddb82ad59ca4b048ca13f0f16992cd7a2cbd1..c08f5f9bbcf54573f3da14c08e634780400b5c1f 100644
--- a/src/utilities/missing/sample_hp_filter/sample_hp_filter.m
+++ b/src/utilities/missing/sample_hp_filter/sample_hp_filter.m
@@ -2,11 +2,11 @@ function [hptrend,hpcycle] = sample_hp_filter(y,s)
% HP filters a collection of time series.
%
-% INPUTS
+% INPUTS
% y [double] T*n matrix of data (n is the number of variables)
% s [double] scalar, smoothing parameter.
%
-% OUTPUTS
+% OUTPUTS
% hptrend [double] T*n matrix, trend component of y.
% hpcycle [double] T*n matrix, cycle component of y.
diff --git a/src/utilities/str/common_strings_in_cell_arrays.m b/src/utilities/str/common_strings_in_cell_arrays.m
index 724183fb37fafb52b689a21869cf637c807143b8..f182656ce95b9d423144fd5795b6fc4446ed0762 100644
--- a/src/utilities/str/common_strings_in_cell_arrays.m
+++ b/src/utilities/str/common_strings_in_cell_arrays.m
@@ -2,11 +2,11 @@ function [n,message] = common_strings_in_cell_arrays(a,b)
% Counts the number of common strings in two cell arrays of strings ```a``` and ```b```.
%
-% INPUTS
+% INPUTS
% - a [cell] One dimensional cell array of strings.
% - b [cell] One dimensional cell array of strings.
%
-% OUTPUTS
+% OUTPUTS
% - n [integer] scalar, the number of common strings.
% - message [string] formatted list of common strings.
@@ -107,4 +107,3 @@ end
%$ end
%$ T = all(t);
%@eof:3
-
diff --git a/src/utilities/str/get_random_string.m b/src/utilities/str/get_random_string.m
index 44a45f4aabaadbe56d3ed0ca49036c0cce248b12..cac13f347b8666495b5ddc37c9e9972936217c5f 100644
--- a/src/utilities/str/get_random_string.m
+++ b/src/utilities/str/get_random_string.m
@@ -2,10 +2,10 @@ function s = get_random_string(n);
% Builds a random string (starting with a letter).
%
-% INPUTS
+% INPUTS
% - n [integer] scalar, length of the generated string.
%
-% OUTPUTS
+% OUTPUTS
% - s [string] random string of length n.
% Copyright (C) 2012-2015 Dynare Team
diff --git a/src/utilities/str/name2tex.m b/src/utilities/str/name2tex.m
index 3ce3575d97aa99ca7527fca635732a40ba6dcecb..d9e7946b20a432561947a62c230bb569c3da1f15 100644
--- a/src/utilities/str/name2tex.m
+++ b/src/utilities/str/name2tex.m
@@ -4,11 +4,11 @@ function tex = name2tex(name, info) % --*-- Unitary tests --*--
%
% Builds a random string (starting with a letter).
%
-% INPUTS
+% INPUTS
% - name [string or cell of strings] name(s) to be converted.
% - info [integer] scalar equal to 0 or 1 (adds curly braces for indices).
%
-% OUTPUTS
+% OUTPUTS
% - tex [string or cell of strings]
% Copyright (C) 2012-2016 Dynare Team
diff --git a/src/utilities/variables/build_list_of_variables_with_loops.m b/src/utilities/variables/build_list_of_variables_with_loops.m
index 47562091a92a070fe2f82e4e3dd7fb2784ae4858..5439f276a83ed3f3a4bb2c938fe6ff2a70562832 100644
--- a/src/utilities/variables/build_list_of_variables_with_loops.m
+++ b/src/utilities/variables/build_list_of_variables_with_loops.m
@@ -18,7 +18,7 @@ function list_of_variables = build_list_of_variables_with_loops(o_list_of_variab
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
checknames = ~isempty(o_list_of_variables);
-
+
NumberOfImplicitLoops = .5*length(idArobase);
idComma = cell(NumberOfImplicitLoops,1);
@@ -39,7 +39,7 @@ switch NumberOfImplicitLoops
expression = expressions{1};
idVariables_ = [];
while ~isempty(expression)
- [token, expression] = strtok(expression,',');
+ [token, expression] = strtok(expression,',');
candidate = [VariableName(1:idArobase(1)-1), token, VariableName(idArobase(2)+1:end)];
if checknames
id = find(strcmp(candidate,o_list_of_variables));
diff --git a/src/utilities/variables/build_list_of_variables_with_regexp.m b/src/utilities/variables/build_list_of_variables_with_regexp.m
index 90d76c93debbbd4481d1d96089f4f3f1ac843162..d1c184cdc02671e01cf2884a522ff05c7da9fb29 100644
--- a/src/utilities/variables/build_list_of_variables_with_regexp.m
+++ b/src/utilities/variables/build_list_of_variables_with_regexp.m
@@ -47,10 +47,10 @@ list_of_variables = vertcat(list_of_variables, VariableName);
function b = isnotempty_cell(CellArray)
- CellArrayDimension = size(CellArray);
- b = NaN(CellArrayDimension);
- for i=1:CellArrayDimension(1)
- for j = 1:CellArrayDimension(2)
- b(i,j) = ~isempty(CellArray{i,j});
- end
+CellArrayDimension = size(CellArray);
+b = NaN(CellArrayDimension);
+for i=1:CellArrayDimension(1)
+ for j = 1:CellArrayDimension(2)
+ b(i,j) = ~isempty(CellArray{i,j});
end
+end