Comparing Proportions in R


Previously, we described the essentials of R programming and provided quick start guides for importing data into R. Additionally, we described how to compute descriptive or summary statistics, correlation analysis, as well as, how to compare sample means and variances using R software.


This chapter contains articles describing statistical tests to use for comparing proportions.


2 One-proportion z-Test


Compare an observed proportion to an expected one.


One-Proportion Z-Test in R

Read more: —> One-Proportion Z-Test in R.

3 Two-proportions z-Test


Compare two observed proportions.


Two Proportions Z-Test

Read more: —> Two Proportions Z-Test.

4 Chi-square goodness of fit test in R


Compare multiple observed proportions to expected probabilities.


Two Proportions Z-Test

Read more: —> Chi-square goodness of fit test in R.

5 Chi-Square test of independence in R


Evaluate the association between two categorical variables.


Chi-Square test of independence in R

Read more: —> Chi-Square Test of Independence in R.

7 Infos

This analysis has been performed using R statistical software (ver. 3.2.4).


Enjoyed this article? I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In.

Show me some love with the like buttons below... Thank you and please don't forget to share and comment below!!
Avez vous aimé cet article? Je vous serais très reconnaissant si vous aidiez à sa diffusion en l'envoyant par courriel à un ami ou en le partageant sur Twitter, Facebook ou Linked In.

Montrez-moi un peu d'amour avec les like ci-dessous ... Merci et n'oubliez pas, s'il vous plaît, de partager et de commenter ci-dessous!





This page has been seen 176969 times