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#291




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In q.5 they tell you that the mean function (aka inverse link function) of probit is the CDF of standard normal distribution. So changes in your predictors go into the CDF function and translate into changes for your prediction. Think of it like XB (structural component) = Z scores. Then CDF(Z) = our prediction and we all know this will be between 0 and 1. Just like the good ol days of whipping out that dank Ztable. They made a fake data frame in R and used the predict function on it to see the new predictions (type="response" > mean function). You could also do this in Excel with the normal function. 
#295




Also does anyone know if the ? function for help will be available during the exam. I am struggling with some components of some functions and am relying on that ? a little too much.
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#298




Several times in the modules they show use of gridExtra::grid.arrange() to put multiple plots togetheranyone know a good way to control the size of the individual plots within the grid?
As an example, I wrote a loop to replicate the bar chart in the student success sample exam for all similar variables (Medu, Fedu, traveltime, studytime etc.)  11 variables in total. I'm guessing there's a max size for plots, because if I try to put them all in one grid.arrange with ncol = 2 or 3 or 4, they're all squished down too illegible sizes. I guess in practice I need to have the plot a size that I can include in a word doc, so it might make sense to just print them all separately and only include important ones, but curious if anyone else has ran into this before or had any solutions/workarounds? 
#299




I hope so. I don't want to stare at a blinding white screen for 5 hours. Gimme my Vibrant Ink plz
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