Texas Instruments TINSPIRE Reference Guide - Page 57

libShortcut, Catalog &gt, LinRegBx, Output variable, Description, CopyVar, DelVar

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libShortcut( ) Catalog > libShortcut(LibNameString, ShortcutNameString [, LibPrivFlag]) ⇒ list of variables Creates a variable group in the current problem that contains references to all the objects in the specified library document libNameString. Also adds the group members to the Variables menu. You can then refer to each object using its ShortcutNameString. This example assumes a properly stored and refreshed library document named linalg2 that contains objects defined as clearmat, gauss1, and gauss2. Set LibPrivFlag=0 to exclude private library objects (default) Set LibPrivFlag=1 to include private library objects To copy a variable group, see CopyVar on page 18. To delete a variable group, see DelVar on page 29. LinRegBx LinRegBx X,Y[,[Freq][,Category,Include]] Computes the linear regression y = a+b·x on lists X and Y with frequency Freq. A summary of results is stored in the stat.results variable. (See page 97.) All the lists must have equal dimension except for Include. X and Y are lists of independent and dependent variables. Freq is an optional list of frequency values. Each element in Freq specifies the frequency of occurrence for each corresponding X and Y data point. The default value is 1. All elements must be integers | 0. Category is a list of numeric or string category codes for the corresponding X and Y data. Include is a list of one or more of the category codes. Only those data items whose category code is included in this list are included in the calculation. For information on the effect of empty elements in a list, see "Empty (void) elements" on page 131. Catalog > Output variable stat.RegEqn stat.a, stat.b stat.r2 stat.r stat.Resid stat.XReg stat.YReg stat.FreqReg Description Regression Equation: a+b·x Regression coefficients Coefficient of determination Correlation coefficient Residuals from the regression List of data points in the modified X List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of data points in the modified Y List actually used in the regression based on restrictions of Freq, Category List, and Include Categories List of frequencies corresponding to stat.XReg and stat.YReg TI-Nspire™ Reference Guide 51

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TI-Nspire™ Reference Guide
51
libShortcut()
Catalog >
libShortcut(
LibNameString
,
ShortcutNameString
[
,
LibPrivFlag
]
)
⇒
list of variables
Creates a variable group in the current problem that contains
references to all the objects in the specified library document
libNameString
. Also adds the group members to the Variables menu.
You can then refer to each object using its
ShortcutNameString
.
Set
LibPrivFlag
=
0
to exclude private library objects (default)
Set
LibPrivFlag
=
1
to include private library objects
To copy a variable group, see
CopyVar
on page 18.
To delete a variable group, see
DelVar
on page 29.
This example assumes a properly stored and refreshed library
document named
linalg2
that contains objects defined as
clearmat
,
gauss1
, and
gauss2
.
LinRegBx
Catalog >
LinRegBx
X
,
Y
[
,
[
Freq
][
,
Category
,
Include
]]
Computes the linear regression
y = a+b
·
x
on lists
X
and
Y
with
frequency
Freq
. A summary of results is stored in the
stat.results
variable. (See page 97.)
All the lists must have equal dimension except for
Include
.
X
and
Y
are lists of independent and dependent variables.
Freq
is an optional list of frequency values. Each element in
Freq
specifies the frequency of occurrence for each corresponding
X
and
Y
data point. The default value is 1. All elements must be integers
|
0.
Category
is a list of numeric or string category codes for the
corresponding
X
and
Y
data.
Include
is a list of one or more of the category codes. Only those data
items whose category code is included in this list are included in the
calculation.
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable
Description
stat.RegEqn
Regression Equation: a+b
·
x
stat.a, stat.b
Regression coefficients
stat.r
2
Coefficient of determination
stat.r
Correlation coefficient
stat.Resid
Residuals from the regression
stat.XReg
List of data points in the modified
X List
actually used in the regression based on restrictions of
Freq
,
Category List
, and
Include Categories
stat.YReg
List of data points in the modified
Y List
actually used in the regression based on restrictions of
Freq
,
Category List
, and
Include Categories
stat.FreqReg
List of frequencies corresponding to
stat.XReg
and
stat.YReg