title: Problem Set VisualMode output: html_document: keep_md: yes toc: yes
# Load libraries and source extra code library(dplyr) library(RTutor) # Options for rendering data frames # If you knit to a Word docx file, try # # data.frame.theme="word" # # (needs RStudio > 1.2.1) # # You can also set the options like # table.max.cols as chunk options # Makes sense if there are too many, too wide # columns in some chunks RTutor::set.knit.print.opts(data.frame.theme="code", table.max.rows=25, table.max.cols=NULL, round.digits=5, signif.digits=8) # continue knitting even if there is an error knitr::opts_chunk$set(error = TRUE)
This problem set is designed to be solved in RStudio's new Visual Mode. The solution file should be kept in the default source mode, since some RTutor syntax, like the start of a block with #<
will be rewritten in visual mode. In the visual mode, HTML links, images and Latex fomulas will be nicely displayed. Let us look at an example...
Consider the following simulated code:
n = 1000 eps = rnorm(n,0,1) x2 = rnorm(n,0,1) x1 = rnorm(n,0,1) +x2 beta0 = 100; beta1 = 0; beta2 = 1; y = beta0+beta1*x1+beta2*x2+eps
Estimate the following short regression:
$$y = \beta_0 + \beta_1 x_1 + u$$
# # Complete the code # lm(___) lm(y~x1)
Great, you have run your first regression...
What do we learn?
(Source: xkcd)
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