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If you have more than one data set displayed on the screen then the up/down
arrows move from one set to the other, unless the fit line is also showing in
which case the behavior is slightly different. Information is given later on how
to display the fit curve and to choose the type of curve.
As usual, the
key produces a list of further options. The key labeled
inserts space for a new number by shifting all the numbers down one
space. If working with bivariate data you will need to also insert into the
paired column.
Sorting paired columns
The
option is capable of dealing with
bivariate data if you are careful to enter the
column number of the dependent column into
the appropriate space. The
key will pop
up a list of columns from which to choose, or
you can use the ALPHA key.
Specifying the fit model
Although we bypassed it in the previous
example, part of the procedure in dealing with
bivariate data is to specify the relationships
between columns before plotting. This is done
via the SYMB view as it is for univariate data.
Multiple data sets
The S1:, S2: ... refer to data sets 1, 2... This allows you to display more than
one set of bivariate data by specifying the columns for each set. Columns
can be used in more than one set. Note that a 'C' screen key is provided for
your convenience.
The screen above shows the default setup when you
the aplet in the
APLET view. It specifies that columns C1 and C2 are paired and that a linear
fit (m*X + b) is to be used when calculating a line of best fit. This was all that
was required for our previous example and so I bypassed that step for
simplicity.
If you intend to use other columns then you
must register them in the SYMB view. For
example, to use data entered into C3 and C4
you must register them as shown.
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