Chi Square test of association to examine if there is a relationship between two categorical variables.
Value
ifr_chisq_assoc_test
returns an object of class
"ifr_chisq_assoc_test"
. An object of class
"ifr_chisq_assoc_test"
is a list containing the
following components:
- chisquare
chi square
- chisquare_lr
likelihood ratio chi square
- chisquare_mantel_haenszel
mantel haenszel chi square
- chisquare_adjusted
continuity adjusted chi square
- contingency_coefficient
contingency coefficient
- cramers_v
cramer's v
- df
degrees of freedom
- ds
product of dimensions of the table of
x
andy
- phi_coefficient
phi coefficient
- pval_chisquare
p-value of chi square
- pval_chisquare_adjusted
p-value of continuity adjusted chi square
- pval_chisquare_lr
p-value of likelihood ratio chi square
- pval_chisquare_mantel_haenszel
p-value of mantel haenszel chi square
Deprecated Function
infer_chisq_assoc_test()
has been deprecated. Instead use
ifr_chisq_assoc_test()
.
References
Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.
Examples
ifr_chisq_assoc_test(hsb, female, schtyp)
#> Chi Square Statistics
#>
#> Statistics DF Value Prob
#> ----------------------------------------------------
#> Chi-Square 1 0.0470 0.8284
#> Likelihood Ratio Chi-Square 1 0.0471 0.8282
#> Continuity Adj. Chi-Square 1 0.0005 0.9822
#> Mantel-Haenszel Chi-Square 1 0.0468 0.8287
#> Phi Coefficient 0.0153
#> Contingency Coefficient 0.0153
#> Cramer's V 0.0153
#> ----------------------------------------------------
ifr_chisq_assoc_test(hsb, female, ses)
#> Chi Square Statistics
#>
#> Statistics DF Value Prob
#> ----------------------------------------------------
#> Chi-Square 2 4.5765 0.1014
#> Likelihood Ratio Chi-Square 2 4.6789 0.0964
#> Phi Coefficient 0.1513
#> Contingency Coefficient 0.1496
#> Cramer's V 0.1513
#> ----------------------------------------------------