multifluo (version 1.1)

reshapimg: Reshape image matrices as one sigle dataframe (useful to pca, for example)

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

# NOT RUN {
data(count)
data(newgp)
data(lifetime)
data(zone.img)

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