Description Usage Arguments Details Value See Also Examples
Return a data frame, matrix or vector which linearly interpolates data from a given matrix or data frame.
1 2 3 4 5 6 7 8 9 | approxTime(x, xout, ...)
approxTime1(x, xout, rule = 1)
approxTimeEq(x, xout, ...)
approxTimeEq1(x, xout, rule = 1)
findIndexEq(x, xout, rule = 1)
|
x |
a matrix or data frame with numerical values giving coordinates of points to be interpolated. The first column needs to be in ascending order and is interpreted as independent variable (e.g. time), the remaining columns are used as dependent variables. |
xout |
a vector (or single value for |
... |
optional parameters passed to |
rule |
an integer describing how interpolation is to take place outside
the interval [min(x), max(x)]. If |
The functions can be used for linear interpolation with a complete matrix or
data frame. This can be used for example in the main function of an
odeModel
to get input values at a specified time xout
.
Versions approxTime1
, approxTimeEq
amd approxTimeEq1
are less flexible
(only one single value for xout
or/and equidistant values of of time in x
and only linear interpolation) but have increased performance. All interpolation
functions are faster if x
is a matrix instead of a data frame.
approxTime
returns a matrix resp. data frame of the same
structure as x
containing data which interpolate the given data with
respect to xout
. approxTime1
is a performance optimized
special version with less options than the original approx
function.
It returns an interpolated vector.
1 2 | inputs <- data.frame(time = 1:10, y1 = rnorm(10), y2 = rnorm(10, mean = 50))
input <- approxTime(inputs, c(2.5, 3), rule = 2)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.