estmodel: Function to do estimate the main effects from data using...

In coRNAi: Analysis of co-knock-down RNAi data

Description

The function estimates the main effect i from all data with the RNIi against i. It can be done by median, mean or shorth.

Usage

estmodel(df, estimate = c("median", "mean", "shorth"), per = NULL)

Arguments

df	df data frame from cellHTS2df function with extra column weight (see weightDf)
estimate	estimate median, mean or shorth, decides how the main effects will be estimated.
per	per for which factor should the analyis be done separetly, eg. batch or replicate.

Value

for per =NULL, a list with

coefficient	the estimated main effects
residuals	the residual after the main effects have been subtracted from the observations

for other per, a list of lists like the once described above, one for each level of the factor per.

Author(s)

Elin Axelsson

Examples

data(screen1_raw)
df = cellHTS2df(screen1_raw,neutral="Fluc")
df$weight = as.numeric(df$Type=="comb")
main = estmodel(df,estimate="median")
str(main)

coRNAi documentation built on Nov. 17, 2017, 11:14 a.m.