# Estimate the Confidence Interval and Interpret Step by Step

## Documentation for package ‘interpretCI’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

acs | Demographic data of 857 patients with ACS
draw_n | Draw normal distribution curve
draw_t | Draw t distribution curve
English | Convert numeric to string with uppercase first letter
english2 | Convert numeric to string
estimationPlot1 | Draw estimation plot1
interpret | Interpret an object of meanCI
is.mynumeric | Decide whether a vector can be treated as a numeric variable
isProvided | Whether the arg is provided in function call
meanCI | Calculate confidence intervals of mean or difference between means
meanCI.data.frame | Calculate confidence intervals of mean or difference between means in a data.frame
meanCI.default | Calculate confidence intervals of mean or difference between means
meanCI2 | Calculate confidence intervals of mean or difference between means
meanCI2df | Prepare data to plot from an object of class meanCI
meanCI2df1 | Extract data from an object of class meanCI
meanCIplot1 | Draw meanCI plot for data with single vector
meanCI_sub | Calculate confidence intervals of mean or difference between means in a data.frame
pairPlot | Draw a pair plot with an object of class meanCI
pairPlot1 | Draw a pair plot
palette2colors | Extract hexadecimal colors from a color palette
plot.meanCI | S3 method for an object of class "meanCI"
print.meanCI | S3 method "print" for class "meanCI"
print.plotCI | S3 method for class plotCI
propCI | Calculate confidence intervals of proportion or difference between proportions
propCI_sub | Calculate confidence intervals of proportion or difference between proportions in a data.frame
rstudio_viewer | Show html file in RStudio viewer or browser
show_t_table | Show t-value table
show_z_table | Show z-value table
textBox | Draw textbox