SensorNoiseModel-class. chemosensors 0.7.7

Usage

defaultSensorNoiseModel()

SensorNoiseModel(...)

Arguments

...: parameters of constructor.

Value

List of the default parameters.

Description

Method noisef.

Class SensorNoiseModel simulates a degradation in the performance of an individual sensor by generating noise in the sensitivity coefficients. This class is a super-class of the class Sensor.

Function to get default constructor parameters of class SensorNoiseModel.

Constructor method of SensorNoiseModel Class.

Wrapper function SensorNoiseModel.

Details

Slots of the class:

`num`	Sensor number (`1:17`), which noise profile is used. 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 for the model, values used to evaluate the statistics on coefficients.
`ssd`	Parameter of standard deviation used to generate the noise. The deault value is 0.1.
`sntype`	Noise type (`randomWalk`).
`snf`	Scaling factor for the amplitude to generate the noise. The default value is `c(1, 1, 0.2)`.
`sndata`	The reference data of standard deviation values from UNIMAN dataset (see `UNIMANsnoise`).

Methods of the class:

`predict`	Generates noise vectors of a given length.
`ssd`	Gets the noise level.
`ssd<-`	Sets the noise level.
`ncoef`	Gets the number of coefficients.

The plot method has three types (parameter y):

`barplot`	(default) Shows distribution of sd values stored in slot `sndata`.
`noise`	Depicts the noise vectors generated by the model.
`walk`	Shows the random walk on a scatterplot for two given coefficients.

Examples

# model: default initialization
sn <- SensorNoiseModel()

# get information about the model
show(sn)

 Sensor Noise Model (ssd 0.1), noise type 'randomWalk'

print(sn)

 Sensor Noise Model
 - num 1 
 - 3 gases A, B, C 
 - ssd: 0.1 
 - noise type: randomWalk 
 - noise-factor: 1, 1, 1 


plot(sn)  



# model: custom parameters
# - many sensors
sn <- SensorNoiseModel(ssd=0.5, num=1:17, gases=c(1, 2, 3))

print(sn)

 Sensor Noise Model
 - num 1, 2, 3 ... 17 
 - 3 gases A, B, C 
 - ssd: 0.5 
 - noise type: randomWalk 
 - noise-factor: 1, 1, 1 


plot(sn)



# method plot
#  - plot types 'y': barplot, noise, walk
sn <- SensorNoiseModel() # default model

plot(sn, "barplot", main="plot(sn, 'barplot')") 


# default plot type, i.e. 'plot(sn)' does the same plotting

plot(sn, "noise", main="plot(sn, 'noise')")



set.seed(6) # make results reproducible
plot(sn, "walk", n=100, k=5, main="plot(sn, 'walk', n=100, k=5)")