function us = ygrowth(ts) % --*-- Unitary tests --*-- %@info: %! @deftypefn {Function File} {@var{us} =} ygrowth (@var{ts}) %! @anchor{ygrowth} %! @sp 1 %! Computes annual growth rates. %! @sp 2 %! @strong{Inputs} %! @sp 1 %! @table @var %! @item ts %! Dynare time series object, instantiated by @ref{dseries} %! @end table %! @sp 2 %! @strong{Outputs} %! @sp 1 %! @table @var %! @item us %! Dynare time series object with transformed data field. %! @end table %! @end deftypefn %@eod: % Copyright (C) 2012-2013 Dynare Team % % 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 . us = ts; switch ts.freq case 1 us.data(2:end,:) = ts.data(2:end,:)./ts.data(1:end-1,:) - 1; us.data(1,:) = NaN; for i = 1:ts.vobs us.name(i) = {['ygrowth(' us.name{i} ')']}; us.tex(i) = {['\delta ' us.tex{i}]}; end case 4 us.data(5:end,:) = ts.data(5:end,:)./ts.data(1:end-4,:) - 1; us.data(1:4,:) = NaN; for i = 1:ts.vobs us.name(i) = {['ygrowth(' us.name{i} ')']}; us.tex(i) = {['\delta_4 ' us.tex{i}]}; end case 12 us.data(13:end,:) = ts.data(13:end,:)./ts.data(1:end-12,:) - 1; us.data(1:12,:) = NaN; for i = 1:ts.vobs us.name(i) = {['ygrowth(' us.name{i} ')']}; us.tex(i) = {['\delta_{12} ' us.tex{i}]}; end case 52 us.data(53:end,:) = ts.data(53:end,:)./ts.data(1:end-52,:) - 1; us.data(1:52,:) = NaN; for i = 1:ts.vobs us.name(i) = {['ygrowth(' us.name{i} ')']}; us.tex(i) = {['\delta_{52} ' us.tex{i}]}; end otherwise error(['dseries::ygrowth: object ' inputname(1) ' has unknown frequency']); end %@test:1 %$ t = zeros(2,1); %$ %$ try %$ data = repmat(transpose(1:4),100,1); %$ ts = dseries(data,'1950Q1'); %$ ts = ts.ygrowth; %$ t(1) = 1; %$ catch %$ t = 0; %$ end %$ %$ %$ if length(t)>1 %$ DATA = NaN(4,ts.vobs); %$ DATA = [DATA; zeros(ts.nobs-4,ts.vobs)]; %$ t(2) = dyn_assert(ts.data,DATA); %$ end %$ %$ T = all(t); %@eof:1 %@test:2 %$ t = zeros(2,1); %$ %$ try %$ data = repmat(transpose(1:12),100,1); %$ ts = dseries(data,'1950M1'); %$ ts = ts.ygrowth; %$ t(1) = 1; %$ catch %$ t = 0; %$ end %$ %$ %$ if length(t)>1 %$ DATA = NaN(12,ts.vobs); %$ DATA = [DATA; zeros(ts.nobs-12,ts.vobs)]; %$ t(2) = dyn_assert(ts.data,DATA); %$ end %$ %$ T = all(t); %@eof:2 %@test:3 %$ t = zeros(2,1); %$ %$ try %$ data = repmat(transpose(1:52),100,1); %$ ts = dseries(data,'1950W1'); %$ ts = ts.ygrowth; %$ t(1) = 1; %$ catch %$ t = 0; %$ end %$ %$ %$ if length(t)>1 %$ DATA = NaN(52,ts.vobs); %$ DATA = [DATA; zeros(ts.nobs-52,ts.vobs)]; %$ t(2) = dyn_assert(ts.data,DATA); %$ end %$ %$ T = all(t); %@eof:3