Hi,
I am not sure I understand what you intend to do… I believe all this is explained in the reference manual. From the Matlab command window you can put your data in a dseries object:
>> ds = dseries('brdatach1new.xls', '2000Q1');
You can check by displaying the object:
ds is a dseries object:
| dy_obs | pi_obs | i_obs | i360_obs | i720_obs | i1800_obs
2000Q1 | 1.3287 | 0.65917 | 4.3245 | 4.9012 | 5.1491 | 4.8944
2000Q2 | 0.31327 | 1.1031 | 4.1525 | 4.934 | 5.0239 | 5.1862
2000Q3 | 1.0049 | 3.3771 | 3.9094 | 4.2826 | 4.3771 | 4.6066
2000Q4 | 0.94181 | 0.51526 | 3.683 | 4.3122 | 4.414 | 4.6622
2001Q1 | -0.61854 | 1.2252 | 3.5184 | 4.0779 | 4.1872 | 4.4164
2001Q2 | -0.4199 | 2.094 | 3.7728 | 5.3174 | 5.5233 | 5.8233
2001Q3 | -0.76334 | 2.4898 | 4.3896 | 6.1832 | 6.8706 | 7.8762
2001Q4 | -0.70914 | 1.5323 | 4.291 | 5.5782 | 6.2411 | 7.4405
2002Q1 | 1.5443 | 1.2849 | 4.1248 | 4.7224 | 5.1964 | 6.0845
2002Q2 | 0.8277 | 2.0664 | 4.198 | 5.2402 | 5.928 | 6.8748
| | | | | |
2016Q1 | -1.1644 | 1.9566 | 3.2035 | 3.5514 | 3.6534 | 3.7899
2016Q2 | -0.52813 | 1.787 | 3.3086 | 3.2612 | 3.145 | 3.136
2016Q3 | -0.34064 | 1.7273 | 3.4136 | 3.2114 | 3.0246 | 2.9542
2016Q4 | -1.1574 | 0.62921 | 3.1934 | 3.0003 | 2.8502 | 2.8746
2017Q1 | 0.68079 | 0.32613 | 2.9882 | 2.5845 | 2.4943 | 2.5976
2017Q2 | 0.068929 | 0.2717 | 2.512 | 2.279 | 2.3469 | 2.576
2017Q3 | -0.1836 | 1.279 | 2.2303 | 1.9433 | 2.0905 | 2.424
2017Q4 | -0.15551 | 1.0279 | 1.7454 | 1.7472 | 2.0228 | 2.4486
2018Q1 | 0.40736 | 0.06673 | 1.578 | 1.6869 | 1.9654 | 2.3588
2018Q2 | 0.33216 | 1.9236 | 1.5509 | 1.7299 | 1.9847 | 2.4988
2018Q3 | -0.15349 | 1.4079 | 1.5755 | 1.9306 | 2.2272 | 2.7502
Then you just have to call the plot function (overloaded for dseries objects):
>> plot(ds.dy_obs)
which will add periods on the abscissa:
Best,
Stéphane.