View source: R/meechua_eff.CI.R
meechua_eff.CI | R Documentation |
This function calculates and plots treatment and regression effects of both before and after measures as also its p-values.
meechua_eff.CI(x,n,se.after)
x |
a data frame containing the results from |
n |
the original sample size (number of observations) from data. |
se.after |
the estimated standard error from |
After performing the meechua_reg
the model coefficients mod_coef
as also its global variable se.after
are used as input in this function to estimate treatment and regression effects.
Two plots are performed, the first "Treatment Effect and p-value" and the second "Confidence Intervals" for mu
.
Daniela R. Recchia, Thomas Ostermann
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.
meechua_reg
# First perform replicate_data and meechua_reg replicate_data(50,60,"Before","After",data=language_test) mee_chua_sort <- mee_chua[with(mee_chua,order(mu)),] meechua_reg(mee_chua_sort) # Model coeeficients (mod_coef) and se.after are stored in the environment # as a result from the function meechua_reg meechua_eff.CI(mod_coef,8,se.after)
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