itemsModel {RclusTool} | R Documentation |
Predictive models computation for the number of cells in colonies
Description
Compute and save specific predictive model from manual countings for the estimation of number of cells in colonies.
Usage
itemsModel(dat, countFile, method = "mda")
Arguments
dat |
matrix or data.frame of raw data (points by line). |
countFile |
character vector specifying the path and the name of the file containing manual countings. |
method |
character vector specifying the name of method tu use for the building of predictive models. Must be 'lm', 'lda' or 'mda' (default). |
Details
itemsModel computes and saves specific predictive model from manual countings for the estimation of number of cells in colonies
Value
RDS file containing the predictive model.
See Also
computeItemsSample
, countItems
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)
countFile <- countItemsSampleGUI(x)
if (file.exists(countFile))
itemsModel(x$features$initial$x, countFile)
[Package RclusTool version 0.91.6 Index]