SensorDynamics-class. chemosensors 0.7.7

Usage

defaultParSensorDynamics()

SensorDynamics(...)

Arguments

...: parameters of constructor.

Value

List of the default parameters.

Description

Method nconst.

Method trange.

Method tconst.

Class SensorDynamics emulates a temporal dynamics of the sensor as a low-pass filter.

Function to get default constructor parameters of class SensorDynamics.

Constructor method of SensorDynamics Class.

Wrapper function SensorDynamics.

Details

Slots of the class:

`num`	Sensor number (`1:17`). The default value is `1`.
`gases`	Gas indices.
`ngases`	The number of gases.
`gnames`	Names of gases.
`concUnits`	Concentration units external to the model.
`concUnitsInt`	Concentration units internal to the model.
`tunit`	Time length of the gas pulses. The default value is `60`.
`enableDyn`	A logical value indicates whether time dynamics is enabled. It is `TRUE` if `tunit` is greater than one.
`tconst`	Time constants of the low pass filter.

Methods of the class:

`predict`	Predicts a temporal response of the sensor.
`coef`	Extracts the time constants of the filter.

The plot method has one type (parameter y):

predict Depicts a temporal signal of the model.

Examples

### Sensor dynamics: default initialization
sdyn <- SensorDynamics()

sdyn # equivalent to: show(sdyn)

 Sensor Dynamics Model (num 1)


print(sdyn)

 Sensor Dynamics Model
 - num 1 
 - 3 gases A, B, C 


#plot(sdyn)

### SensorDynamics as a part of SensorModel
sm <- SensorModel(tunit = 60)
sdyn <- as(sm, "SensorDynamics")

### Demo 1: response to pulses of different concentrations
set.seed(5)
sa <- SensorArray(tunit = 60, csd = 1, ssd = 0, dsd = 0)

# mixture at low concentrations
p1 <- plotSignal(sa, set = c("A 0.01", "C 0.1", "A 0.01, C 0.1"), main = "Low concentrations")
p1



# mixture at high concentrations
p2 <- plotSignal(sa, set = c("A 0.05", "C 1", "A 0.05, C 1"), main = "High concentrations")
p2



###
sa <- SensorArray(tunit = 60, nsd = 0)

p3 <- plotSignal(sa, set = c("A", "B", "C"))
p3



p4 <- plotPCA(sa, set = c("A", "B", "C"))
p4