The Join command joins the specified data into a single one- or two-dimensional data sample.

The first parameter X is the list of samples; each element of this list must be an rtable (such as a Matrix or Vector) or a list. Multi-dimensional data sets will generally be converted to one-dimensional. The exception is when each data set is two-dimensional and they all have equally many columns; in that case, all data sets are put underneath each other in a Matrix.

The options argument can contain one or more of the options shown be low.

outputoptions=list -- This option provides additional rtable_options to the rtable constructor that builds the result. The supported options are datatype, attributes, and readonly; the subtype option is supported if it does not conflict with the dimension of the result.

$\mathrm{with}\left(\mathrm{Statistics}\right)\:$

$A≔\mathrm{Array}\left(\left[1\,2\,3\,4\,5\right]\right)$

$\left[\begin{array}{rrrrr}1& 2& 3& 4& 5\end{array}\right]$

$B≔\mathrm{Array}\left(\left[\sin \left(1\right)\,\sin \left(2\right)\,\sin \left(3\right)\right]\right)$

$\left[\begin{array}{ccc}\sin \left(1\right)& \sin \left(2\right)& \sin \left(3\right)\end{array}\right]$

$C≔⟨⟨x\,y\,z⟩\|⟨t\,u\,v⟩⟩$

$\left[\begin{array}{cc}x& t\\ y& u\\ z& v\end{array}\right]$

$\mathrm{interface}\left(\mathrm{rtablesize}\=15\right)\:$

$\mathrm{Join}\left(\left[A\,B\,C\right]\,\mathrm{outputoptions}\=\left[\mathrm{subtype}\={\mathrm{Vector}}_{\mathrm{column}}\right]\right)$

$\left[\begin{array}{c}1\\ 2\\ 3\\ 4\\ 5\\ \sin \left(1\right)\\ \sin \left(2\right)\\ \sin \left(3\right)\\ x\\ y\\ z\\ t\\ u\\ v\end{array}\right]$

$U≔\left[\left[1\,2\right]\,\left[2\,3\right]\right]$

$U≔\left[\left[1\,2\right]\,\left[2\,3\right]\right]$

$V≔\mathrm{Matrix}\left(3\,2\,\left(i\,j\right)\→i\+j\+1\right)$

$\left[\begin{array}{rr}3& 4\\ 4& 5\\ 5& 6\end{array}\right]$

$\mathrm{Join}\left(\left[U\,V\right]\,\mathrm{outputoptions}\=\left[\mathrm{readonly}\,\mathrm{datatype}\=\mathrm{float}\right]\right)$

$\left[\begin{array}{cc}1.0& 2.0\\ 2.0& 3.0\\ 3.0& 4.0\\ 4.0& 5.0\\ 5.0& 6.0\end{array}\right]$

The X parameter was updated in Maple 16.