Thanks John. Appreciate the insights.

On 9/17/2023 9:43 AM, John Fox wrote:
Dear Robert,

Anova() calls linearHypothesis(), also in the car package, to compute sums of squares and df, supplying appropriate hypothesis matrices. linearHypothesis() usually tries to express the hypothesis matrix in symbolic equation form for printing, but won't do this if coefficient names include arithmetic operators, in your case - and +, which can confuse it.

The symbolic form of the hypothesis isn't really relevant for Anova(), which doesn't use the printed representation of each hypothesis, and so, despite the warnings, you get the correct ANOVA table. In your case, where the data are balanced, with 4 cases per cell, Anova(mod) and summary(mod) are equivalent, which makes me wonder why you would use Anova() in the first place.

To elaborate a bit, linearHypothesis() does tolerate arithmetic operators in coefficient names if you specify the hypothesis symbolically rather than as a hypothesis matrix. For example, to test, the interaction:

------- snip --------

> linearHypothesis(mod,
+                  c("TreatmentDabrafenib:ExpressionCD271+ = 0",
+                    "TreatmentTrametinib:ExpressionCD271+ = 0",
+                    "TreatmentCombination:ExpressionCD271+ = 0"))
Linear hypothesis test

Hypothesis:
TreatmentDabrafenib:ExpressionCD271+ = 0
TreatmentTrametinib:ExpressionCD271+ = 0
TreatmentCombination:ExpressionCD271+ = 0

Model 1: restricted model
Model 2: Viability ~ Treatment * Expression

  Res.Df   RSS Df Sum of Sq     F Pr(>F)
1     27 18966
2     24 16739  3    2226.3 1.064 0.3828

------- snip --------

Alternatively:

------- snip --------

> H <- matrix(0, 3, 8)
> H[1, 6] <- H[2, 7] <- H[3, 8] <- 1
> H
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,]    0    0    0    0    0    1    0    0
[2,]    0    0    0    0    0    0    1    0
[3,]    0    0    0    0    0    0    0    1

> linearHypothesis(mod, H)
Linear hypothesis test

Hypothesis:


Model 1: restricted model
Model 2: Viability ~ Treatment * Expression

  Res.Df   RSS Df Sum of Sq     F Pr(>F)
1     27 18966
2     24 16739  3    2226.3 1.064 0.3828
Warning message:
In printHypothesis(L, rhs, names(b)) :
  one or more coefficients in the hypothesis include
     arithmetic operators in their names;
  the printed representation of the hypothesis will be omitted

------- snip --------

There's no good reason that linearHypothesis() should try to express each hypothesis symbolically for Anova(), since Anova() doesn't use that information. When I have some time, I'll arrange to avoid the warning.

Best,
 John


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