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multifluo (version 1.1)

Dealing with Several Images of a Same Object Constituted of Different Zones

Description

Deals with several images of a same object, constituted of different zones. Each image constitutes a variable for a given pixel. The user can interactively select different zones of an image. Then, multivariate analysis (PCA) can be run in order to characterize the different selected zones, according to the different images. Hotelling (Hotelling, 1931, ) and Srivastava (Srivastava, 2009, ) tests can be run to detect multivariate differences between the zones.

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Version

Install

install.packages('multifluo')

Monthly Downloads

6

Version

1.1

License

GPL-3

Maintainer

Caroline Peltier

Last Published

July 12th, 2018

Functions in multifluo (1.1)

plotpca

Plotting a Principal Component Analysis
translation

Translation of the data
zone.img

Zone image
newgp

Translated Generalized Polarization Data
multifluo-package

multifluo
zone.mat

Zones as matrix
sri.test

Srivastava's Test
interieur.para

interieur.para
pcapic

Pictures from the first component of PCA
pca

pca
summaryrshp

Summarizing reshaped data
zones

Zone example
reshapimg

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

Bins the pixels
dfTest

dfTest
calc.ell

Calculating agreement ellipses
difftable

Table of multivariate differences
create.zones

Creating a list of consecutive zones of images
dfboolTest

dfboolTest
count

count
img.zone

Converts a zone object (point list) into a matrix
df.scaled

df.scaled
gp

gp
generic.plot

generic.plot
plotzone

Plotting the different selected zones on an image
intpca

internal pca
erase

Eraser
find.colors

find.colors
hotelling.test

Hotelling's T2 Test
img

img
lifetime

lifetime
plotimage

Plotting an image