propCI {interpretCI} | R Documentation |
Calculate confidence intervals of proportion or difference between proportions
Description
Calculate confidence intervals of proportion or difference between proportions
Usage
propCI(
x,
y,
n,
p,
n1,
n2,
p1,
p2,
P = 0,
alpha = 0.05,
digits = 2,
alternative = "two.sided"
)
Arguments
x |
A vector |
y |
A vector |
n , n1 , n2 |
integer sample size |
p , p1 , p2 , P |
Numeric proportion |
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
A list containing at least the following components:
- data
A tibble containing raw data or a list of numeric vector
- result
A data.frame consists of summary statistics
- call
the matched call
- attr(*,"measure")
character. One of c("prop","propdiff")
#'@examples propCI(acs$sex) propCI(acs$sex,acs$DM) propCI(n=1600,p=0.4,alpha=0.01) propCI(n=100,p=0.73,P=0.8,alpha=0.01) propCI(n1=400,n2=300,p1=0.4,p2=0.3,alpha=0.1) propCI(n1=100,n2=200,p1=0.38,p2=0.51,alpha=0.01) propCI(n1=100,n2=200,p1=0.38,p2=0.51,alpha=0.01,alternative="less")