meanCI.data.frame {interpretCI}

Calculate confidence intervals of mean or difference between means in a data.frame

Description

Calculate confidence intervals of mean or difference between means in a data.frame

Usage

## S3 method for class 'data.frame'
meanCI(x, ...)

meanCI_sub(data = data, x, y, group, paired = FALSE, idx = NULL, ...)

Arguments

x

Name of a categorical or numeric column. If !missing(y), name of continuous variable

...

Further arguments to be passed to meanCI

data

A data.frame

y

Name of a numeric column

group

Name of categorical column

paired

logical

idx

A vector containing factors or strings in the x columns. These must be quoted (ie. surrounded by quotation marks). The first element will be the control group, so all differences will be computed for every other group and this first group.

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 consists of summary statistics

call

the matched call

attr(*,"measure")

character. One of c("mean","unpaired","paired")

Methods (by generic)

• meanCI: S3 method for data.frame

Examples

meanCI(acs,age)
meanCI(acs,sex,age)
meanCI(acs,Dx,age)
acs %>% select(age) %>% meanCI()
acs %>% select(sex,age) %>% meanCI()
meanCI(iris,Species,Sepal.Length)
meanCI(iris,Sepal.Width,Sepal.Length,paired=TRUE)
meanCI(iris,Sepal.Length,Sepal.Width)
iris %>% select(starts_with("Petal")) %>% meanCI(paired=TRUE)
iris %>% meanCI(paired=TRUE)
meanCI(acs,sex,age,Dx,mu=10)
acs %>% select(sex,TC,TG,HDLC) %>% meanCI(group=sex)
acs %>% select(sex,TC,TG,HDLC) %>% meanCI(sex)
iris %>% select(Species,starts_with("Sepal")) %>% meanCI(Species)
iris %>% select(Species,starts_with("Sepal")) %>% meanCI(group=Species)