Generation

code to explanationWed, 24 May 2023

I am writing a result section of a research paper. Can you please report these results in APA style? > model <- lmer(num_SNB ~ 0 + Condition_SNB*Language_used_SNB + (1|subject_SNB), data = s_complete) > anova(model) Type III Analysis of Variance Table with Satterthwaite's method Sum Sq Mean Sq NumDF DenDF F value Pr(>F) Condition_SNB 10826.0 2706.50 4 145.6 340.1028 <2e-16 *** Language_used_SNB 42.5 10.62 4 39.2 1.3345 0.2743 Condition_SNB:Language_used_SNB 57.7 4.81 12 3449.2 0.6039 0.8407 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > > shapiro.test(resid(model)) # check normality ---> not normally distributed Shapiro-Wilk normality test data: resid(model) W = 0.95823, p-value < 2.2e-16

## #2: Plot a function plot(x, y) The function `plot` takes two arguments, `x` and `y`, and plots an x-y graph of the two. ## #3: Plot different types of functions plot(x, y1); plot(x, y2) The function `plot` takes two arguments, `x` and `y1`, and plots an x-y graph of the two. The function `plot` takes two arguments, `x` and `y2`, and plots an x-y graph of the two. ## #4: Combine multiple lines of code def add(a, b): return a + b add(2, 5) The function `add` takes two arguments, `a` and `b`, and returns the sum of a and b. The function `add` takes two arguments, `2` and `5`, and returns the sum of `2` and `5`. ## #5: Put a function inside a function def add(a, b): return a + b

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