meechua_reg: Fit linear models on the (replication) data.
Description
This function fit linear models for a subset of data frames.
Usage
meechua_reg(x)
Value
A table containing the estimations for each mu.
Global variables models, mod_coef, se_after are stored for further analysis.
The models are saved in an obejct called mee_chua, which is not automatically printted but is saved in the environment.
Arguments
x
Data to be used in the regression.
Author
Daniela R. Recchia, Thomas Ostermann.
Details
The data used for the regression must be sorted by mu.
A set of linear models will be estimated and model coefficients are saved and stored in mod_coef.
The estimated standard errror for the after measure is also stored in se_after to be used further in other functions.
References
Ostermann, T., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression toward the mean - a detection method for unknown population mean based on Mee and Chua's algorithm. BMC Medical Research Methodology.
## get the values ##mee_chua<-replicate_data(50,60,"Before","After",data=language_test)
## sort mu ##mee_chua_sort <- mee_chua[with(mee_chua,order(mu)),]
meechua_reg(mee_chua_sort)