search for: t4b

...s for a box plot of the residuals of a linear regression. It is performing arithmetic addition on the 16 individual variables that I want individual box plots for. I have 16 race*treatment variables that were created from cleaned data.frames for race and treatment independently: t1W, t1B.....t4W, t4B, t4H, t4O. class(t1W) produces "numeric" (1000 observations of 1's and 0's) To create the box plot I am using boxplot(residuals(IRR)~ treatRace_clean) where I have tried treatRace_clean as both of the following treatRace_clean <- as.factor(as.vector(t1W + t1B + t1H + t1O + t...

Hi, I'm running a calculation in two ways. The first way is to employ vectors and evaluate a function in one go. The second way is to break down the function into pieces and combine the pieces to the final answer. Algebraically, they should give me the same result. But the final vector differs significantly. I must be missing something very obvious, but I just cannot see it xx <-

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