meechua_eff.CI {regtomean} | R Documentation |
Calculates and plots treatment and regression effects as also its p-values.
Description
This function calculates and plots treatment and regression effects of both before and after measures as also its p-values.
Usage
meechua_eff.CI(x,n,se_after)
Arguments
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 |
Details
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.
Value
Two plots are performed, the first "Treatment Effect and p-value" and the second "Confidence Intervals" for mu
.
Author(s)
Daniela 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
Examples
# Initialize environment explicitly
#regtomean_env <- new.env(parent = emptyenv())
# Generate example data
language_test <- data.frame(
Before = rnorm(100, mean = 50, sd = 10),
After = rnorm(100, mean = 55, sd = 10)
)
# Replicate data
mee_chua <- replicate_data(0, 100, "Before", "After", data = language_test)
mee_chua <- mee_chua[order(mee_chua$mu), ]
# Perform regression analysis and store results
results <- meechua_reg(mee_chua)
mod_coef <- results$mod_coef
se_after <- results$se_after
# Call meechua_eff.CI
meechua_eff.CI(mod_coef, 100, se_after)