mypred.lm: Given a fit object and a new data, yields predictions of the...
In rxmenezes/rscreenorm: Normalization of Multiple Genetic Screens Data

Description Usage Arguments Value See Also

This is an internal function that computes fitted values for observed values in the core set range, and for those outside it uses a extrapolation equivalent to a shift. It is called by get.all.qnorm and is to be used internally, so has no functionality other than what is described.

1	mypred.lm(my_fit, newdata, mymin_pm, mymax_pm)

`my_fit`	an object of class "lm", generated by a call to `lm`. It is expected to represent the regression of the observed percentiles to their quantile-normalized values.
`newdata`	numeric vector containing all lethality scores, for which predictions will be made based upon the fit given by `my_fit`
`mymin_pm`	numeric (scalar), the minimum value for the core set lethality scores
`mymax_pm`	numeric (scalar), the maximum value for the core set lethality scores

a numeric vector with as many entries as newdata,containing the predicted values, which correspond to the quantile-normalized lethality scores for all observed scores.

get.rscreenorm which yields core sets and quantile-normalizes data at once, codeget.qnorm which quantile-normalizes data for a given core set and get.all.qnorm to compute the quantile normalized scores.

rxmenezes/rscreenorm documentation built on May 15, 2019, 1:19 p.m.