meechua_reg {regtomean}

Fit linear models on the (replication) data.

Description

This function fit linear models for a subset of data frames.

Usage

meechua_reg(x)

Arguments

x

Data to be used in the regression.

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.

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.

Author(s)

Daniela R. Recchia, Thomas Ostermann.

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.

See Also

lm,dlply

Examples

## 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)