Texas Instruments TINSPIRE Reference Guide - Page 79

P@>Ry

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P4Ry( ) P4Ry(rValue, qValue) ⇒ value P4Ry(rList, qList) ⇒ list P4Ry(rMatrix, qMatrix) ⇒ matrix Returns the equivalent y-coordinate of the (r, q) pair. Note: The q argument is interpreted as either a degree, radian or gradian angle, according to the current angle mode.¡R Note: You can insert this function from the computer keyboard by typing P@>Ry(...). In Radian angle mode: Catalog > PassErr Catalog > PassErr Passes an error to the next level. For an example of PassErr, See Example 2 under the Try command, page 105. If system variable errCode is zero, PassErr does not do anything. The Else clause of the Try...Else...EndTry block should use ClrErr or PassErr. If the error is to be processed or ignored, use ClrErr. If what to do with the error is not known, use PassErr to send it to the next error handler. If there are no more pending Try...Else...EndTry error handlers, the error dialog box will be displayed as normal. Note: See also ClrErr, page 17, and Try, page 105. Note for entering the example: In the Calculator application @ on the handheld, you can enter multi-line definitions by pressing · instead of at the end of each line. On the computer keyboard, hold down Alt and press Enter. piecewise() piecewise(Expr1 [, Cond1 [, Expr2 [, Cond2 Returns definitions for a piecewise function in the form of a list. You can also create piecewise definitions by using a template. Note: See also Piecewise template, page 2. Catalog > poissCdf() poissCdf(l,lowBound,upBound) ⇒ number if lowBound and upBound are numbers, list if lowBound and upBound are lists poissCdf(l,upBound) for P(0{X{upBound) ⇒ number if upBound is a number, list if upBound is a list Computes a cumulative probability for the discrete Poisson distribution with specified mean l. For P(X { upBound), set lowBound=0 poissPdf() poissPdf(l,XVal) ⇒ number if XVal is a number, list if XVal is a list Computes a probability for the discrete Poisson distribution with the specified mean l. Catalog > Catalog > TI-Nspire™ Reference Guide 73

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TI-Nspire™ Reference Guide
73
P
4
Ry()
Catalog >
P
4
Ry(
rValue
,
q
Value
)
⇒
value
P
4
Ry(
rList
,
q
List
)
⇒
list
P
4
Ry(
rMatrix
,
q
Matrix
)
⇒
matrix
Returns the equivalent y-coordinate of the (r,
q
) pair.
Note:
The
q
argument is interpreted as either a degree, radian or
gradian angle, according to the current angle mode.
¡
R
Note:
You can insert this function from the computer keyboard by
typing
P@>Ry(
...
)
.
In Radian angle mode:
PassErr
Catalog >
PassErr
Passes an error to the next level.
If system variable
errCode
is zero,
PassErr
does not do anything.
The
Else
clause of the
Try...Else...EndTry
block should use
ClrErr
or
PassErr
. If the error is to be processed or ignored, use
ClrErr
. If
what to do with the error is not known, use
PassErr
to send it to the
next error handler. If there are no more pending
Try...Else...EndTry
error handlers, the error dialog box will be displayed as normal.
Note:
See also
ClrErr
, page
17
, and
Try
, page
105.
Note for entering the example:
In the Calculator application
on the handheld, you can enter multi-line definitions by pressing
@
instead of
·
at the end of each line. On the computer keyboard,
hold down
Alt
and press
Enter
.
For an example of
PassErr
, See Example 2 under the
Try
command, page
105
.
piecewise()
Catalog >
piecewise(
Expr1
[
,
Cond1
[
,
Expr2
[
,
Cond2
[
,
… ]]]]
)
Returns definitions for a piecewise function in the form of a list. You
can also create piecewise definitions by using a template.
Note:
See also
Piecewise template
, page 2.
poissCdf()
Catalog >
poissCdf(
l
,
lowBound
,
upBound
)
⇒
number
if
lowBound
and
upBound
are numbers,
list
if
lowBound
and
upBound
are lists
poissCdf(
l
,
upBound
)
for P(0
{
X
{
upBound
)
⇒
number
if
upBound
is a number, list if
upBound
is a list
Computes a cumulative probability for the discrete Poisson
distribution with specified mean
l
.
For P(X
{
upBound
), set
lowBound
=0
poissPdf()
Catalog >
poissPdf(
l
,
XVal
)
⇒
number
if
XVal
is a number,
list
if
XVal
is
a list
Computes a probability for the discrete Poisson distribution with the
specified mean
l
.