In this version of Octave, “warning on” really enables all warnings (while this
was not the case in Octave 6, suprisingly; I think this used to be different
with even older Octave releases).

It is now supported by the MATLAB editor (as of R2022a).

[skip ci]

load_m_file_data.m: pass structure instead of file

See merge request Dynare/dseries!41

Next attempt to prevent horse race conditions, see Dynare/dseries!40

load_m_file_data.m: prevent horse-race condition when saving and loading mat file

See merge request Dynare/dseries!40

Add ability to use self-compiled x13as on Mac

See merge request Dynare/dseries!39

Note that conversion to lower frequencies are not implemented since months,
quarters and semesters are not defined in the ISO specification.

Also add unit tests.

Closes #4.

*Example*

>> a = dseries(randn(4,5),'2000Q1')

a is a dseries object:

       | Variable_1 | Variable_2 | Variable_3 | Variable_4 | Variable_5
2000Q1 | 2.4245     | -1.036     | -0.87587   | -0.57001   | -1.6989
2000Q2 | 0.9594     | 1.8779     | 0.31995    | -1.0257    | 0.6076
2000Q3 | -0.31577   | 0.9407     | -0.55829   | -0.90875   | -0.1178
2000Q4 | 0.42862    | 0.78735    | -0.31143   | -0.2099    | 0.69916

>> a.Variable_3>0

ans =

  4x1 logical array

   0
   1
   0
   0

>> a(a.Variable_3>0)

ans is a dseries object:

       | Variable_1 | Variable_2 | Variable_3 | Variable_4 | Variable_5
2000Q2 | 0.9594     | 1.8779     | 0.31995    | -1.0257    | 0.6076

Ref #4.

If ts is a dseries object with T periods and N variables, then we can
instantiate a new dseries object from ts by extracting periods or
variables. Periods are selected by passing a vector of logicals with T
elements. Variables are selected by passing a vector of logicals with
N elements. If T==N, the convention is to pass a row vector to select
variables and a colum vector to select periods.

*Example*

>> ts = dseries(randn(10,5), '2000Q1')

ts is a dseries object:

       | Variable_1 | Variable_2 | Variable_3 | Variable_4 | Variable_5
2000Q1 | -0.53201   | -1.0642    | 0.39189    | -1.0667    | -0.73417
2000Q2 | 1.6821     | 1.6035     | -1.2507    | 0.93373    | -0.030814
2000Q3 | -0.87573   | 1.2347     | -0.94796   | 0.35032    | 0.23235
2000Q4 | -0.48382   | -0.22963   | -0.74111   | -0.029006  | 0.42639
2001Q1 | -0.712     | -1.5062    | -0.50782   | 0.18245    | -0.37281
2001Q2 | -1.1742    | -0.44463   | -0.32058   | -1.5651    | -0.23645
2001Q3 | -0.19224   | -0.15594   | 0.012469   | -0.084539  | 2.0237
2001Q4 | -0.27407   | 0.27607    | -3.0292    | 1.6039     | -2.2584
2002Q1 | 1.5301     | -0.26116   | -0.45701   | 0.098348   | 2.2294
2002Q2 | -0.24902   | 0.44342    | 1.2424     | 0.041374   | 0.33756

>> ts(mean(ts)>0)

ans is a dseries object:

       | Variable_4 | Variable_5
2000Q1 | -1.0667    | -0.73417
2000Q2 | 0.93373    | -0.030814
2000Q3 | 0.35032    | 0.23235
2000Q4 | -0.029006  | 0.42639
2001Q1 | 0.18245    | -0.37281
2001Q2 | -1.5651    | -0.23645
2001Q3 | -0.084539  | 2.0237
2001Q4 | 1.6039     | -2.2584
2002Q1 | 0.098348   | 2.2294
2002Q2 | 0.041374   | 0.33756

>> ts(ts.dates>=dates('2001Q3'))

ans is a dseries object:

       | Variable_1 | Variable_2 | Variable_3 | Variable_4 | Variable_5
2001Q3 | -0.19224   | -0.15594   | 0.012469   | -0.084539  | 2.0237
2001Q4 | -0.27407   | 0.27607    | -3.0292    | 1.6039     | -2.2584
2002Q1 | 1.5301     | -0.26116   | -0.45701   | 0.098348   | 2.2294
2002Q2 | -0.24902   | 0.44342    | 1.2424     | 0.041374   | 0.33756

Concatenation was failing if the empty object had no frequency set.

Closes #46

Closes: #47

The returned argument is the first input argument.

Conversion to yearly and bi-annual frequencies.

Returned year was wrong for yearly frequency.

The dates2S routine was plain wrong.