Appendix A: Functions and Instructions 465
8992APPA.DOC TI-89 / TI-92 Plus: Appendix A (US English) Susan Gullord Revised: 02/23/01 1:48 PM Printed: 02/23/01 2:21 PM Page 465 of 132
log() CATALOG
log(expression1) ⇒ expression
log(list1) ⇒ list
Returns the base-10 logarithm of the
argument.
For a list, returns the base-10 logs of the
elements.
log(2.0) ¸.301...
If complex format mode is REAL:
log({ë3,1.2,5}) ¸
Error: Non-rea
l
resu
l
t
If complex format mode is RECTANGULAR:
log({ë3,1.2,5}) ¸
{ln(3)
ln(10) + p
ln(10) øi .079... ln(5)
ln(10)}
log(squareMatrix1) ⇒ squareMatrix
Returns the matrix base-10 logarithm of
squareMatrix1. This is not the same as
calculating the base-10 logarithm of each
element. For information about the
calculation method, refer to cos().
squareMatrix1 must be diagonalizable. The
result always contains floating-point
numbers.
In Radian angle mode and Rectangular
complex format mode:
log([1,5,3;4,2,1;6,ë2,1]) ¸
.795…+.753…øi .003…ì.647…øi …
.194…ì.315…øi .462…+.270øi …
ë.115…ì.904…øi .488…+.777…øi …
Logistic MATH/Statistics/Regressions menu
Logistic list1, list2 [ , [iterations] , [list3] [, list4, list5] ]
Calculates the logistic regression and updates
all the system statistics variables.
All the lists must have equal dimensions
except for list5.
list1 represents xlist.
list2 represents ylist.
list3 represents frequency.
list4 represents category codes.
list5 represents category include list.
iterations specifies the maximum number of
times a solution will be attempted. If omitted,
64 is used. Typically, larger values result in
better accuracy but longer execution times,
and vice versa.
Note: list1 through list4 must be a variable
name or c1–c99 (columns in the last data
variable shown in the Data/Matrix Editor).
list5 does not have to be a variable name and
cannot be c1–c99.
In function graphing mode:
{1,2,3,4,5,6}!L1 ¸{1 2 3 …}
{1,1.3,2.5,3.5,4.5,4.8}!L2
¸
{1 1.3 2.5 …}
Logistic L1,L2 ¸Done
ShowStat ¸
¸
regeq(x)!y1(x) ¸Done
NewPlot 1,1,L1,L2 ¸Done
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