describeC {RCPA3}

Generates table of descriptive statistics for one or more variables in a dataset

Description

Prints a table of descriptive statistics for variable(s) specified with x argument. Works with variables measures at any level but output varies with level of measurement (e.g. you won't get standard deviation for a nominal variable). Option for weighting observations.

Usage

describeC(x, w, data, digits = 3, printC = FALSE)

Arguments

x

A variable or list of variables, 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).

printC

(Optional) Do you want to print table of descriptive statistics to .html file in working directory? (default: FALSE)

Value

Table of descriptive statistics

RCPA3 Package Tutorial Videos

• Generate Descriptive Statistics with RCPA3 Package's describeC Function 17:40

• 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 2.

• Philip H. Pollock and Barry C. Edwards, The Essentials of Political Analysis, 6th Edition (Thousand Oaks, CA: Sage Publications, 2020), pp. 39-55. ISBN-13: 978-1506379616; ISBN-10: 150637961.

Online Resources

• Tutorials & Resources for Descriptive Statistics, 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)
  
  
  # descriptive statistics for qualitative variables
  describeC(x=world$region)
  
  # descriptive statistics for numeric variable
  describeC(x=world$infant.mortality)
  
  # describe multiple variables in list, with optional w argument
  describeC(x=list(angry.about.things, approve.cong), w=wt, data=nes)