computeItemsSampleGUI {RclusTool} | R Documentation |
GUI to estimate the number of cells in colonies for each cluster
Description
Open a Graphical User Interface allowing to choose cluster name and model file for the estimation and the saving of the number of cells in colonies.
Usage
computeItemsSampleGUI(
data.sample,
method.select = "K-means",
RclusTool.env = initParameters()
)
Arguments
data.sample |
list containing features, profiles and clustering results. |
method.select |
character vector specifying the name of the clustering result to use ('K-means' by default). |
RclusTool.env |
environment in which all global parameters, raw data and results are stored. |
Details
computeItemsSampleGUI opens a Graphical User Interface allowing to choose cluster name and model file for the estimation and the saving of the number of cells in colonies
Value
data.sample with saved count results
csv file containing the counts.
Examples
dat <- rbind(matrix(rnorm(100, mean = 0, sd = 0.3), ncol = 2),
matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2),
matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2))
tf <- tempfile()
write.table(dat, tf, sep=",", dec=".")
x <- importSample(file.features=tf)
x <- computeUnSupervised(x, K=0, pca=TRUE, echo=TRUE)
computeItemsSampleGUI(x, method.select="K-means")
[Package RclusTool version 0.91.6 Index]