Summary method for the cross_tabs function
# S3 method for cross_tabs summary(object, check = "", dec = 2, ...)
| object | Return value from |
|---|---|
| check | Show table(s) for variables var1 and var2. "observed" for the observed frequencies table, "expected" for the expected frequencies table (i.e., frequencies that would be expected if the null hypothesis holds), "chi_sq" for the contribution to the overall chi-squared statistic for each cell (i.e., (o - e)^2 / e), "dev_std" for the standardized differences between the observed and expected frequencies (i.e., (o - e) / sqrt(e)), and "dev_perc" for the percentage difference between the observed and expected frequencies (i.e., (o - e) / e) |
| dec | Number of decimals to show |
| ... | further arguments passed to or from other methods. |
See https://radiant-rstats.github.io/docs/basics/cross_tabs.html for an example in Radiant
cross_tabs to calculate results
plot.cross_tabs to plot results
result <- cross_tabs(newspaper, "Income", "Newspaper") summary(result, check = c("observed", "expected", "chi_sq"))#> Cross-tabs #> Data : newspaper #> Variables: Income, Newspaper #> Null hyp.: there is no association between Income and Newspaper #> Alt. hyp.: there is an association between Income and Newspaper #> #> Observed: #> Newspaper #> Income WS Journal USA Today Total #> Low Income 83 276 359 #> High Income 180 41 221 #> Total 263 317 580 #> #> Expected: (row total x column total) / total #> Newspaper #> Income WS Journal USA Today Total #> Low Income 162.79 196.21 359.00 #> High Income 100.21 120.79 221.00 #> Total 263.00 317.00 580.00 #> #> Contribution to chi-squared: (o - e)^2 / e #> Newspaper #> Income WS Journal USA Today Total #> Low Income 39.11 32.45 71.55 #> High Income 63.53 52.70 116.23 #> Total 102.63 85.15 187.78 #> #> Chi-squared: 187.783 df(1), p.value < .001 #> #> 0.0 % of cells have expected values below 5