# Difference between anova and Anova function

What is the difference between Anova(data)and anova(data)?

> anova(res.full)
Analysis of Variance Table

Response: Sales
Df Sum Sq Mean Sq   F value    Pr(>F)
Promotional.Accounts  1   1070    1070   35.0800 0.0001465 ***
Active.Accounts       1  44337   44337 1453.2067 3.680e-12 ***
Competing.Brands      1  43331   43331 1420.2314 4.124e-12 ***
Potential             1     16      16    0.5146 0.4895772
Residuals            10    305      31
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> Anova(res.full)
Anova Table (Type II tests)

Response: Sales
Sum Sq Df   F value    Pr(>F)
Promotional.Accounts    275  1    9.0193   0.01327 *
Active.Accounts       27371  1  897.1238 4.025e-11 ***
Competing.Brands      42877  1 1405.3398 4.346e-12 ***
Potential                16  1    0.5146   0.48958
Residuals               305 10
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’


I don't understand why in each table the F statistic for each factor is different.

• Welcome to StackOverflow! Please supply a reproducible example that includes example data and complete code that includes the package(s) you're using (in this case, where the Anova function is coming from). – Thomas Apr 4 '15 at 12:13
• There is something conceptual that I don't understand, no need to add data because I don't have an error or something like that. – Michael Kozak Apr 4 '15 at 12:32
• Here is an informative and easy to understand discussion on Type I, II and even III tests. Unbalanced Factorial Designs – anil Oct 12 '19 at 13:16

anova is a function in base R. Anova is a function in the car package.