Texas Instruments NS/CLM/1L1/B Reference Guide - Page 65

Polar, Catalog &gt, polyEval, PowerReg, Output variable, Description

Page 65 highlights

4Polar Vector 4Polar Displays vector in polar form [r q]. The vector must be of dimension 2 and can be a row or a column. Note: 4Polar is a display-format instruction, not a conversion function. You can use it only at the end of an entry line, and it does not update ans. Note: See also 4Rect, page 65. complexValue 4Polar Displays complexVector in polar form. • Degree angle mode returns (rq). • Radian angle mode returns reiq. complexValue can have any complex form. However, an reiq entry causes an error in Degree angle mode. Note: You must use the parentheses for an (rq) polar entry. In Radian angle mode: In Gradian angle mode: In Degree angle mode: polyEval( ) polyEval(List1, Expr1) ⇒ expression polyEval(List1, List2) ⇒ expression Interprets the first argument as the coefficient of a descending-degree polynomial, and returns the polynomial evaluated for the value of the second argument. PowerReg PowerReg X,Y [, Freq] [, Category, Include]] Calculates the power regression. A summary of results is stored in the stat.results variable. (See page 76.) All the arguments must have equal dimensions except for Include. X represents xlist. Y represents ylist. Freq represents frequency list. Category represents category codes. Include represents category include list. Output variable stat.RegEqn stat.a, stat.b stat.r2 stat.r stat.Resid stat.ResidTrans Description Regression equation: a·(x)b. Regression coefficients: y = a·(x)b. Coefficient of determination. Correlation coefficient for linear model. Residuals of the curves fit = y - a·(x)b. Residuals associated with linear fit of transformed data. TI-Nspire™ Reference Guide Catalog > Catalog > Catalog > 59

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114
  • 115
  • 116
  • 117
  • 118
  • 119
  • 120
  • 121
  • 122
  • 123
  • 124
  • 125
  • 126
  • 127
  • 128
  • 129
  • 130

TI-Nspire™ Reference Guide
59
4
Polar
Catalog >
Vector
4
Polar
Displays
vector
in polar form [r
q
]. The vector must be of
dimension 2 and can be a row or a column.
Note:
4
Polar
is a display-format instruction, not a conversion
function. You can use it only at the end of an entry line, and it does
not update
ans
.
Note:
See also
4
Rect
, page 65.
complexValue
4
Polar
Displays
complexVector
in polar form.
Degree angle mode returns (r
q
).
Radian angle mode returns re
i
q
.
complexValue
can have any complex form. However, an re
i
q
entry
causes an error in Degree angle mode.
Note:
You must use the parentheses for an (r
q
) polar entry.
In Radian angle mode:
In Gradian angle mode:
In Degree angle mode:
polyEval()
Catalog >
polyEval(
List1
,
Expr1
)
expression
polyEval(
List1
,
List2
)
expression
Interprets the first argument as the coefficient of a descending-degree
polynomial, and returns the polynomial evaluated for the value of the
second argument.
PowerReg
Catalog >
PowerReg
X
,
Y
[
,
Freq
]
[
,
Category
,
Include
]]
Calculates the power regression. A summary of results is stored in the
stat.results
variable. (See page 76.)
All the arguments must have equal dimensions except for
Include
.
X
represents xlist.
Y
represents ylist.
Freq
represents frequency list.
Category
represents category codes.
Include
represents category include list.
Output variable
Description
stat.RegEqn
Regression equation: a
·
(x)
b
.
stat.a, stat.b
Regression coefficients: y = a
·
(x)
b
.
stat.r
2
Coefficient of determination.
stat.r
Correlation coefficient for linear model.
stat.Resid
Residuals of the curves fit = y - a
·
(x)
b
.
stat.ResidTrans
Residuals associated with linear fit of transformed data.