GLM

non-numeric argument to mathematical function

ANOVA
		Sum of Squares		df		Mean Square		F		p
X		3.718		2		1.859		2.981		0.089
Y		0.837		1		0.837		1.343		0.269
Z		1.276		1		1.276		2.046		0.178
X ✻ Y		0.705		2		0.353		0.566		0.582
X ✻ Z		6.297		2		3.148		5.049		0.026
Y ✻ Z		0.960		1		0.960		1.539		0.238
X ✻ Y ✻ Z		2.355		2		1.177		1.888		0.194
Residuals		7.483		12		0.624

Estimates
		Contrast		Estimate		SE		t		p
(Intercept)		Intercept		0.3091		0.161		1.917		0.079
X1		2 - 1, 2, 3		-0.5322		0.228		-2.335		0.038
X2		3 - 1, 2, 3		0.4073		0.228		1.787		0.099
Y1		2 - 1, 2		0.1868		0.161		1.159		0.269
Z1		2 - 1, 2		0.2305		0.161		1.430		0.178
X1 ✻ Y1		2 - 1, 2, 3 ✻ 2 - 1, 2		-0.0890		0.228		-0.390		0.703
X2 ✻ Y1		3 - 1, 2, 3 ✻ 2 - 1, 2		0.2398		0.228		1.052		0.314
X1 ✻ Z1		2 - 1, 2, 3 ✻ 2 - 1, 2		-0.3303		0.228		-1.449		0.173
X2 ✻ Z1		3 - 1, 2, 3 ✻ 2 - 1, 2		-0.3931		0.228		-1.725		0.110
Y1 ✻ Z1		2 - 1, 2 ✻ 2 - 1, 2		-0.2000		0.161		-1.241		0.238
X1 ✻ Y1 ✻ Z1		2 - 1, 2, 3 ✻ 2 - 1, 2 ✻ 2 - 1, 2		-0.4416		0.228		-1.937		0.077
X2 ✻ Y1 ✻ Z1		3 - 1, 2, 3 ✻ 2 - 1, 2 ✻ 2 - 1, 2		0.2510		0.228		1.101		0.293

Simple Effects ANOVA

Simple effects of X
Effect		Moderator Levels		Sum of Squares		df		F		p
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Simple effects of X
Effect		Moderator Levels		Sum of Squares		df		F		p
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Simple Effects Parameters

Simple effects of X
Effect		Moderator Levels		Estimate		SE		t		p
X1		Y at 1		-0.443		0.322		-1.375		0.194
X2		Y at 1		0.167		0.322		0.520		0.613
X1		Y at 2		-0.621		0.322		-1.927		0.078
X2		Y at 2		0.647		0.322		2.007		0.068

Simple effects of X
Effect		Moderator Levels		Estimate		SE		t		p
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