View source: R/ci_measures_of_location.R
ci_mean | R Documentation |
This function calculates CIs for the population mean. By default, Student's t method is used. Alternatively, Wald and bootstrap CIs are available.
ci_mean(
x,
probs = c(0.025, 0.975),
type = c("t", "Wald", "bootstrap"),
boot_type = c("stud", "bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
x |
A numeric vector. |
probs |
Lower and upper probabilities, by default |
type |
Type of CI. One of "t" (default), "Wald", or "bootstrap". |
boot_type |
Type of bootstrap CI. Only used for |
R |
The number of bootstrap resamples. Only used for |
seed |
An integer random seed. Only used for |
... |
Further arguments passed to |
The default bootstrap type for the mean is "stud" (bootstrap t) as it enjoys the property of being second order accurate and has a stable variance estimator (see Efron, p. 188).
An object of class "cint" containing these components:
parameter
: Parameter specification.
interval
: CI for the parameter.
estimate
: Parameter estimate.
probs
: Lower and upper probabilities.
type
: Type of interval.
info
: Additional description.
Smithson, M. (2003). Confidence intervals. Series: Quantitative Applications in the Social Sciences. New York, NY: Sage Publications.
Efron, B. and Tibshirani R. J. (1994). An Introduction to the Bootstrap. Chapman & Hall/CRC.
x <- 1:100
ci_mean(x)
ci_mean(x, type = "bootstrap", R = 999, seed = 1) # Use larger R
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