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).









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Articles contained by this category :  

Chi-square Goodness of Fit Test in R
Chi-Square Test of Independence in R
One-Proportion Z-Test in R
Two-Proportions Z-Test in R
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