# TRANSFORM RTCA DATA WITH INTERPOLATION

### Description

Interpolate RTCA data

### Usage

1 | ```
interpolationTransform(object, interval=0.01, method=c("linear","constant","fmm","periodic","natural", "monoH.FC"))
``` |

### Arguments

`object` |
An |

`...` |
other parameters, |

`interval` |
numeric, the interval between interpolated points, set to 0.01 by default |

`method` |
character, specifying the method for interpolation,
“linear” by default (for linear interpolation). Allowed options are: “linear” and
“constant” for |

### Details

Since most RTCA experiements record the experiments in the irregular
time-series, sometimes however it is desired to have regular
intervals. `interpolationTransform`

interpolate between data
points to estimate results of regular intervals.

Two classes of interpolations are supported by now: linear (using
`approx`

) and cubic spline
(`spline`

) interpolation. By default linear
interpolation is used.

### Value

An interpolated object of `RTCA`

.

### Author(s)

Jitao David Zhang jitao_david.zhang@roche.com

### See Also

`rgrTransform`

stands for *relative growth rate
transformation*, `ratioTransform`

for ratio normalization
adopted by Roche commercial software. `smoothTransform`

to
smooth the RTCA readout.

### Examples

1 2 3 4 5 6 | ```
require(RTCA)
ofile <- system.file("/extdata/testOutput.csv", package="RTCA")
x <- parseRTCA(ofile)
xInter <- interpolationTransform(x)
``` |