jet.scan: Assessing variability for measurements using jet plot

In GiNA: High Throughput Phenotyping

Description

Same than color.plot function, this function was designed to assess the results from the scanCRAN function by providing the output of such function and draw plots showing the variation found in the objects measured in each object.

Usage

jet.scan(mydata, var = 1)

Arguments

mydata	the data to be used for drawing the jet plot, is the output from the scanCRAN function
var	the variable to be plotted from several variables measured by the scanCRAN function.

Value

If parameters are indicated correctly the function returns:

$plot

a plot showing the digital representation for the variable selected using a plot with jet colors to emphasize the variability within pictures.

References

We have spent valuable time developing this package, please cite it in your publication:

Diaz-Garcia L, Covarrubias-Pazaran G, Schlautman B, Zalapa J. GiNA: A flexible high throughput phenotyping tool. http://horticulture.wisc.edu/cggl/ZalapaLab/People.html. 2015.

Examples

## x <- scanCran(folder=0.8,minArea=6000)
## jet.scan(x, var = 1)

Example output

Loading required package: EBImage
Loading required package: png
Loading required package: parallel
Loading required package: doParallel
Loading required package: foreach
Loading required package: iterators

GiNA documentation built on May 2, 2019, 3:47 p.m.