get.inv.set.prop: Computes proportion of scores included in core sets
In rxmenezes/rscreenorm: Normalization of Multiple Genetic Screens Data

Description Usage Arguments Value See Also Examples

This function uses data_rscreen and a threshold object and returns a vector of proportions of scores included in core sets, per replicate. It can also create a barplot of the computed proportions. It is typically used when a my_gamma is chosen to select core sets, yielding a check on the built sets.

1	get.inv.set.prop(data_rscreen, th_obj, plot = FALSE, cols_list = NULL)

`data_rscreen`	an object of class 'rscreen.object', either yielded by `read.screen.data`, or by `combine.screens`. Typically the 'data_only' slot of this object contains lethality scores computed by `get.leth.scores`, which already reflect a value relative to negative and positive controls, per replicate.
`th_obj`	object containing thresholds per replicate, as returned by `get.th.inv.set`.
`plot`	logical, indicating if a barplot is to be made of the result. Defaults to `FALSE`, when no plot is produced.
`cols_list`	vector of colours to be used for the barplot, so if given it must be as long as the number of columns in data_only slot of data_rscreen. If `get.pdata` was used to read the phenotypic data table, its slot cols_list can be used as input for this argument. By default, a vector of colours created by `rainbow` will be used, a different one for each column in data_only.

A vector as long as the number of columns in the data_only slot of data_rscreen, with each entry corresponding to the proportion of scores included in an core set. If plot = TRUE, makes also a barplot of the computed proportions.

get.inv.set the wrapper function that yields core sets, get.th.inv.set that produces the thresholds per replicate, get.rscreenorm to normalize data from multiple screens using core sets and get.leth.scores to compute scores that make observations in different screens comparable.