meanCI.default {interpretCI} | R Documentation |
Calculate confidence intervals of mean or difference between means
Description
Calculate confidence intervals of mean or difference between means
Usage
## Default S3 method:
meanCI(x, ...)
meanCI2(
x,
y,
n,
m,
s,
n1,
n2,
m1,
m2,
s1,
s2,
mu = 0,
paired = FALSE,
var.equal = FALSE,
alpha = 0.05,
digits = 2,
alternative = "two.sided"
)
Arguments
x |
A vector |
... |
Further arguments to be passed to meanCI2 |
y |
A vector |
n , n1 , n2 |
integer sample(s) size |
m , m1 , m2 |
Numeric mean value of sample(s) |
s , s1 , s2 |
Numeric standard deviation of sample(s) |
mu |
numeric hypothesized true value of mean or mean difference |
paired |
logical If true, difference between paired sample calculated |
var.equal |
logical If true, pooled standard deviation is used |
alpha |
Numeric Confidence level |
digits |
integer indicating the number of decimal places |
alternative |
A character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". |
Value
An object of class "meanCI" which is a list containing at least the following components:
- data
A tibble containing raw data or a list of numeric vector
- result
A data.frame containing of summary statistics
- call
the matched call
- attr(*,"measure")
character. One of c("mean","unpaired","paired")
Methods (by generic)
-
meanCI
: Default S3 method