CIprop {RCPA3}

Confidence intervals of a dataset variable's sample proportions in table and figure

Description

Reports the confidence interval of sample proportions in table and plot. Default is 95% CI but use can raise or lower confidence level.

Usage

CIprop(x, w, data, digits = 3, level = 95, printC = FALSE, plot = TRUE,
  main, xlab, xlim, ...)

Arguments

x

A nominal or ordinal variable (factor), should be in dataset$var form unless dataset specified in optional data argument.

w

(Optional) Sampling weights of variable, must be numeric; should be in dataset$weightvar form unless dataset specified in optional data argument.

data

(Optional) Name of dataset that contains x (and w) variable.

digits

(Optional) Number of decimal places reported in result (defaults to 3).

level

(Optional) A single number equal to the desired confidence level (i.e. 95, 99, 90, etc.). Default value is 95 percent confidence level.

printC

(Optional) Do you want results printed to .html file in your working directory? Default is FALSE. Set to TRUE to print results.

plot

(Optional) Do you want a plot of the confidence interval? Default is TRUE.

main

(Optional) Change the main title of plot. Default title generated from level, x, and w.

xlab

(Optional) Label for x-axis of confidence interval plot.

xlim

(Optional) Modify x-axis limits of confidence interval plot.

...

(Optional) Additional arguments passed to plot function.

Value

Returns a data frame that gives the lower bound, point estimate, and upper bounds of each value of x variable.

RCPA3 Package Tutorial Videos

• Confidence Intervals for Sample Proportions with RCPA3's CIprop Function 18:29

• Complete Playlist of RCPA3 Package Tutorial Videos, includes video for this function and many more.

Textbook References

• Philip H. Pollock and Barry C. Edwards, An R Companion to Political Analysis, 3rd Edition (Thousand Oaks, CA: Sage Publications, Forthcoming 2022), Chapter 8.

• Philip H. Pollock and Barry C. Edwards, The Essentials of Political Analysis, 6th Edition (Thousand Oaks, CA: Sage Publications, 2020), pp. 184-186. ISBN-13: 978-1506379616; ISBN-10: 150637961.

Online Resources

• R Tutorials & Resources for Foundations of Inference, Compiled by Barry C. Edwards

• Sage Edge Resources for Political Analysis Series, for streaming videos, flashcards, and more student resources for textbooks by Pollock and Edwards, from Sage Publications.

• Political Science Data Web Site: Find datasets for your own research and resources to help with the analysis.

Examples

 
  library(RCPA3)

  CIprop(nes$lifex.knowimmig)
  
  
  # using optional w and data arguments
  CIprop(x=nes$lifex.knowimmig, w=nes$wt)
  CIprop(x=lifex.knowimmig, w=wt, data=nes)