commonizeEEM: Smooth out the different dimensions of EEM data
In chengvt/EEM: Read and Preprocess Fluorescence Excitation-Emission Matrix (EEM) Data
Description
Usage
Arguments
Value
Examples
Description
Smooth out the difference dimensions of EEM data by finding the common variables of all data and subset
those data.
Usage
1
Arguments
EEM
a list containing EEM data as created by readEEM function.
Value
EEM class object with only common variables
Examples
1
2
3
4
5
6
data(gluten)
data(applejuice)
data <- c(gluten, applejuice)
summary(data) # different dimensions
data_combined <- commonizeEEM(data)
summary(data_combined) # same dimension, ready for unfold
chengvt/EEM documentation built on May 13, 2019, 3:51 p.m.
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Description Usage Arguments Value Examples
Description
Smooth out the difference dimensions of EEM data by finding the common variables of all data and subset those data.
Usage
1 |
Arguments
EEM |
a list containing EEM data as created by |
Value
EEM class object with only common variables
Examples
1 2 3 4 5 6 | data(gluten)
data(applejuice)
data <- c(gluten, applejuice)
summary(data) # different dimensions
data_combined <- commonizeEEM(data)
summary(data_combined) # same dimension, ready for unfold
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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