superb (version 0.9.7.8)

precisionMeasureWithCustomDF: Confidence intervals with custom degree of freedom

Description

The following three functions can be used with missing data. They return the mean, the standard error of the mean and the confidence interval of the mean. Note that we hesitated to provide these functions: you should deal with missing data prior to making your plot.

Usage

CIwithDF.mean(x, gamma = 0.95 )

Arguments

x

a vector of numbers, the sample data (mandatory);

gamma

a vector containing first a confidence level for CI (default 0.95) and a custom degree of freedom (if unspecified, uses n-1 where n is the number of observations in x).

Value

the confidence interval (CI) where the t value is based on the custom-set degree of freedom.

References

Examples

# NOT RUN {
# this will issue a warning as no custom degree of freedom is provided
CIwithDF.mean( c(1,2,3), gamma = 0.90)          
# the confidence interval of the mean for 90% confidence level
CIwithDF.mean( c(1,2,3), gamma = c(0.90, 1.5) ) # uses 1.5 as df instead of 2.

# }