reshapimg: Reshape image matrices as one sigle dataframe (useful to pca,...

In multifluo: Dealing with Several Images of a Same Object Constituted of Different Zones

Description

Reshapes a list of (numeric) image matrices, and a zone matrix related to one set of images, in order to obtain a dataframe, with each line corresponding to one pixel and each matrix corresponding to one single column.

Usage

reshapimg(zone.img,list.img,list.bool=NULL,reduction=TRUE,return.bool=FALSE,name.img=NULL)

Arguments

zone.img	result of img.zone
list.img	list of images to be compared
list.bool	potential list of boolean matrices reflecting conditions of the analysis. Each pixel which does not respect at least one of the boolean conditions will be removed from the resulting dataset.
reduction	if TRUE, each column of the related datafraime (corresponding to each numeric image matrix) is centered and reduced,else, it is only centered
return.bool	if TRUE, a list containing the resulting data (data) and the boolean matrix of the treated pixels (boolean) is returned
name.img	vector containing the names of the successive images of list.img which are going to be the names of the column of the resulting dataset)

Value

The resulting data contains one column containing the zone, and then as many columns as components in list.img. The names of columns can correspond to the name.img vector (default), or to the names of the matrices in list.mat, else it will be Var1, Var2,...

See Also

img.zone,pca,create.zones,summaryrshp

Examples

data(count)
data(newgp)
data(lifetime)
data(zone.img)

df37A=reshapimg(zone.img,list(count,lifetime,newgp),name.img=c("Count","Lifetime","GP"))

multifluo documentation built on May 2, 2019, 1:07 p.m.