Using R, Thank you in advance

In the "mtcars" data set, make a contingency table (= table of counts) for "am" (transmission) and "cyl" (the number of cylinders). Answer the largest count in the table. (Continued from the previous question.) By using ANOVA, calculate the p-value for the test with the null hypothesis: mpgij = 4 + cyl; + bij against = the alternative hypothesis: mpgij = u + cyl; + am; + Eij. Note that both "cyl" and "am" should be transformed into factor variables. Round the answer to the nearest thousandth. In the "mtcars" data set, make a contingency table (= table of counts) for "am" (transmission) and "cyl" (the number of cylinders). Answer the largest count in the table. (Continued from the previous question.) By using ANOVA, calculate the p-value for the test with the null hypothesis: mpgij = 4 + cyl; + bij against = the alternative hypothesis: mpgij = u + cyl; + am; + Eij. Note that both "cyl" and "am" should be transformed into factor variables. Round the answer to the nearest thousandth